-4d90550d17f4602e089-2579 20220513044321246 beie:beie director@blueeyesintelligence.org WEB-FORM International Journal of Innovative Technology and Exploring Engineering IJITEE 22783075 10.35940/ijitee https://www.ijitee.org/ 01 30 2020 9 3 PG Student Nitte Meenakshi Institute of Technology Bengaluru, India. Ankan Kumar Nandi* Jairaj C Assistant Professor Nitte Meenakshi Institute of Technology Bengaluru, India. Seismic analysis of structural systems with floor diaphragms has been a requisite in the recent past. The duty of a structural engineer is to be prudent about the behavior of every structural system adopted. Amongst the structural systems that are adopted world over, diaphragm with rigid and semi-rigid floor plate are adopted widely in the analysis. This research focuses on the backstay effect i.e. podium structural interaction with the tower area and consideration of retaining wall as increment of lateral stiffness as specified in latest tall building code IS6700:2016 for low and high rise structures. In the current study models were prepared with low to high rise storeys with rigid and flexible diaphragms considering backstay diaphragm placing tower at center and corner. The models were subjected to seismic forces; response spectrum along with the combination of the gravity loads. The structural responses like natural periods, base shear, displacement and inter storey drift were also studied. 01 30 2020 1578 1587 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.C8621.019320 https://www.ijitee.org/portfolio-item/C8621019320/ Assistant Professor, S R Engineering College, Warangal, India. Sandela Haripriya* Boorla Rajesh Assistant Professor, S R Engineering College, Warangal, India. Dara Swetha Sudarshan Assistant Professor, S R Engineering College, Warangal, India. Md.Ikramullah khan Assistant professor, S R Engineering College, Warangal, India. Bandi Bhaskar Assistant Professor, S R Engineering College, Warangal, India. Development Practices is the Key to the Next Generation for having a progressively imperative and better work concerning Engineering Perspectives. Various sorts of research have been done previously and are being done in the present on building materials extensively used for Constructions. With the ultimate objective to shield the future and proportion the trademark resources, various examinations have been coordinated over some vague period on reactions and wastes leaving undertakings, fantastically warm power plants, to facilitate the use of wastes thusly reusing them and screen the normal resources which are comprehensively using being developed practices[1-5]. A positive quantity of mortar and cement paste from the authentic concrete stays connected to stone particles in the recycled combination when demolished concrete is crushed [11,15]. The adhered mortar presence at the surface of an overwhelmed concrete mixture usually degrades the great of the recycled mixture and therefore the fresh and hardened residences of concrete crafted from it compared to herbal aggregates. As per the investigation, the compressive strength of cement was anticipated utilizing artificial neural system models Firstly, to prepare the ANN model to anticipate the compressive strength of RAC, The predicted compressive strength was contrasted and the exploratory compressive strength and correlation are carried out[12-14]. Training and testing of the ANN model are done utilizing compressive strength results of RAC collected from literature, the practical values obtained are used to validate the ANN model. Then the percentage error between the experiment and predicted compressive strength is obtained 01 30 2020 1210 1214 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.C8624.019320 https://www.ijitee.org/portfolio-item/C8624019320/ Research Scholar, Department of Civil Engineering, ITM University Gwalior, India. Adeeb Arif Mallick* Sohit Agarwal Assistant Professor, Department of Civil Engineering, ITM University Gwalior, India. Mukesh Pandey Professor, Department of Civil Engineering, ITM University Gwalior, India. The principal reason behind this experimental investigation carried out here is to diminish the dead load of structures with the potential use of light weight bricks. EPS beads and silica fume are light in nature. The investigation work enhanced, with numerous literature study to find out the utilization of Expanded polystyrene(EPS) beads and silica fume in light weight brick can be used in military bases in cold regions due to its low thermal insulating quality. The main objective of this research is to prepare a light weight brick by partial substitution of Cement with silica fume and the replacement of fine aggregate with EPS beads. A total of 70 bricks containing two different sizes of EPS beads say Type A and Type B with different proportions (0%, 7%, 14%, 21%) of each Type were casted in order to check the mechanical properties such as compressive strength, water absorption, efflorescence, workability, and thermal conductivity of the brick. The compressive strength test was carried out at 7, 14 and 28 days of curing. As the percentage of EPS beads in the brick increased the strength of brick decreased while with the increase of EPS beads in the brick the water absorption as well as the thermal conductivity of brick decreased. There were slight presence of Efflorescence in some of the bricks while in most of the brick there were no efflorescence found. 01 30 2020 862 867 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.C8627.019320 https://www.ijitee.org/portfolio-item/C8627019320/ Department of Electronics & Telecommunication, Dr. D. Y. Patil Institute of Technology, Pimpri, Pune, India. Sagar V. Joshi* Rajendra D. Kanphade Department of Electronics & Telecommunication, Dr. D. Y. Patil Institute of Technology, Pimpri, Pune, India. In recent times, the necessity for personal identification systems has increased due to several accidents. Under circumstances of human-made and natural disasters, it is not possible to employ a traditional biometric system. Hence, biometric radiographs of the skull, hands, and teeth are good replacement methods to identify victims. The fundamental intent of the research is to acquire a novel approach for identifying missing and anonymous individuals based on Dual Cross Pattern (DCP) features of hand radiographs. The suggested technique has contains two major steps: feature extraction and classification of the feature vectors. In this paper, an effort is made to find the most adequate classifier between the Classification Tree (CT), Feed forward Neural Network (FNN), Multiclass Support Vector Machine (m-SVM), and k-Nearest Neighbor (k-NN) based on the accuracy of retrieval of 10 adult subjects from the dataset of 300 right-hand radiographs. The classification results attained from simulation and discriminant analysis on a small primary database are encouraging. 01 30 2020 2546 2552 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.C8629.019320 https://www.ijitee.org/portfolio-item/C8629019320/ Assistant Professor, Department of IT, M.Kumarasamy College Of Engineering, Karur Mrs.M. Sowmiya* Mrs.C. Thilagavathi Assistant Professor, Department of IT, M.Kumarasamy College Of Engineering, Karur Nature is an important phenomenon of this physical world. This nature includes plants, trees, animal, humans and several other organisms. Amongst them plants are the most important organisms in the world. They are specialist of creating their food by themselves and also they are the notable components in food chain. They also serve the nature and its organisms in a tremendous way. Hence it is necessary to protect our nature in an efficient manner so as to maintain the food chain. Our technology development has given much advancement in the field of agriculture. This paper deals with the analysis of various machine learning algorithms, by applying the algorithms on the plant data set. Sample sizes of collected data set are used to train the algorithm and the results are evaluated accordingly to estimate the better implementation of machine learning algorithm. 01 30 2020 1215 1217 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.C8630.019320 https://www.ijitee.org/portfolio-item/C8630019320/ Minin Nizhny Novgorod State Pedagogical University (Minin University), Nizhny Novgorod, Russian Federation, Barkhatov N.A.* Revunov S.E. Minin Nizhny Novgorod State Pedagogical University (Minin University), Nizhny Novgorod, Russian Federation Smirnova Zh.V. Minin Nizhny Novgorod State Pedagogical University, Nizhny Novgorod, Russian Federation Semahin E. A. Minin Nizhny Novgorod State Pedagogical University (Minin University), Nizhny Novgorod, Russian Federation Gruzdeva M. L Minin Nizhny Novgorod State Pedagogical University (Minin University), Nizhny Novgorod, Russian Federation The paper demonstrates the capabilities of neural network recovery of ground-based geomagnetic field records at a selected magnetic station using similar magnetic field data at another station. By the example of the restoration of disturbance records made at the magnetic stations Kakioka, Kanoya, Alma-Ata, Hermanius, San Juan, Tucson, Honolulu with and without data from the OMNI satellite system on the parameters of the solar wind and interplanetary magnetic field, it is shown that the technique of artificial neural networks can to successfully fill in the gaps and failures in the records of individual observatories of the global network of magnetic observation stations. The created artificial neural network tool can be used for scientific and applied problems of geomagnetic information recovery. 01 30 2020 1588 1591 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.C8632.019320 https://www.ijitee.org/portfolio-item/C8632019320/ Mechanical, GRIET, Hyderabad, India. N Indra Reddy* K. venkateswarlu Professor, Mechanical Engineering Department, GRIET, Hyderabad, India, Experimental investigations were conducted to determine the performance & emission features of a common rail direct injection (CRDI) system using algae biofuel to aid diesel engine. The algae biofuel-diesel blends were taken in two different proportions, B10 & B15 (10% and 15% of algae biofuel is mixed with diesel on a volumetric approach). The tests were conducted on CRDI diesel engine at various injection pressures from 600 to 1050 bar with the difference of 150 bar. From the results it was exposed that at high fuel injection pressure (1050 bar), brake thermal efficiency (BTE) improved and brake specific fuel consumption (BSFC) reduced when related with other injection pressures. CO, HC &/smoke density significantly decreases with rise in injection pressures. However, NOx emissions are shown to be increased. At different load conditions, biodiesel algae are associated with higher exhaust gas temperatures. 01 30 2020 2614 2619 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.C8633.019320 https://www.ijitee.org/portfolio-item/C8633019320/ Professor, Dept of CSE, Aditya College of Engineering, Surampalem, India Dr.G.S.N Murthy* T. Veerraju Associate Professor, Dept of CSE, Aditya College of Engineering , Surampalem, India. T.Satya Kumari Assistant Professor Dept of CSE, Aditya College of Engineering, Surampalem, India. V.Anantha Lakshmi Associate Professor, Dept of CSE, Aditya College of Engineering, Surampalem, India. Distributed systems environment comprises set of Hosts, workstations, terminals, Different Servers, bridges, Gateways, printers and so on. The sharing of resources and information in this distributed systems and networking environment increases day-by-day. This is more and more prone to attacks and hazards. Now-a-days, as threats become more widespread, attackers get smarter and the infrastructure required securing. Hence, in large systems, it is essential to distribute the management tasks by defining the security policies by the systems manager for controlling, monitoring and organizing employee’s access. In some cases, it is possible to employee’s tasks may conflict or overlap. To avoid this, we present a Novel approach for organizing Conflicting Security tasks that has been specifically designed with consistency. It organizes tasks into a tree shaped structure to maintain significant representation. 01 30 2020 3652 3657 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.C8636.019320 https://www.ijitee.org/portfolio-item/C8636019320/ Department of Electronics and Communication Engineering (EDT), S R Engineering College, Warangal, Telangana, India. Samra Jabeen* S. Jha Department of Electronics and Communication Engineering, S R Engineering College, Warangal, Telangana, India. P. Anuradha Department of Electronics and Communication Engineering, S R Engineering College, Warangal, Telangana, India. Very large scale integrated circuits (VLSI) have been possible owing to the shrinking of metal-oxide semiconductor field-effect transistors (MOSFETs). By reducing the dimensions of the device it is possible to have high density on the chip. This increases the number of logical functions that can be implemented on a given dimension of the chip. Along with the advantages associated with the shrinking of the devices, it also has certain drawbacks commonly known as short-channel effects. Due to these effects, device characteristics deviate from its expected values. There are many techniques through which these deviations can be minimized. One of the promising and highly researched techniques these days is the use of Multi-gate (MG) transistors in VLSI. Double-gate (DG) transistor is one among MG transistors. In DG MOSFET, substrate is surrounded by gates from two opposite sides. This leads to more control over the channel electrons by the gate terminals. In this paper, the consequence of change of various device constraints on the electrical characteristics of the DG MOSFETs will be investigated. Through the results, one can know to what extent the electrical properties changes when the dimensions and/or material properties are changed. This will be very helpful in determining the maximum current associated with those dimensions of DG MOSFETs. 01 30 2020 3658 3661 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.C8640.019320 https://www.ijitee.org/portfolio-item/C8640019320/ Department of Computer Science & Engineering Amity University Gurgaon. Dr. Vikas Thada* Mr Utpal Shrivastava Department of Computer Science & Engineering Amity University Gurgaon. Ms Ruchi Department of Computer Science & Engineering Amity University Gurgaon. Sentiment Analysis has gotten a focal point of consideration for the retrieving of web information and text corpora. At the point when we talk about sentiment analysis, it investigates the people's criticism or conclusion or audits in the wake of removing those reviews from various stages. While, when we find out about Sentiment Analysis, it recognizes the mining or analysis, which are communicated through content and afterward we investigate it. The fundamental goal of Sentiment Analysis is to reason feelings and ideas. In this paper the research work has done sentiment analysis on Amazon Reviews. The data set used is Amazon Reviews on Unlocked Mobile phones dataset of 413840 records. There are number of columns for the dataset like Product Name, Price, Rating, Brand Review text and the count of people for whom the review was helpful. But the research work has used on the Rating and Reviews columns. The research work has applied bag of words, tf-idf and n-grams techniques. It was found that n-gram with bag of words approach gave a maximum testing accuracy of 97% and AUCROC score of .967. Using deep learning approaches and their comparing with used ones is left as future work. 01 30 2020 1218 1222 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.C8641.019320 https://www.ijitee.org/portfolio-item/C8641019320/ Assistant Professor, S R Engineering College, Warangal, Telangana, India. Madduri Swathikiran* Dr. R. Archana Reddy Professor, S R Engineering College, Warangal, Telangana, India. G. Sahithi Assistant Professor, S R Engineering College, Warangal, Telangana, India. N. Prabhanjan Assistant Professor, S R Engineering College, Warangal, Telangana, India. G. Swamy Yadav Assistant Professor, S R Engineering College, Warangal, Telangana, India. D. Swetha Assistant Professor, S R Engineering College, Warangal, Telangana, India. Traffic congestion is the major problem that major metropolitan cities are facing. From the study it is observed that the main cause of the delay is because of not following the actual design of the transportation rules of the particular area. There are many factors which are influencing the congestion are taken in the study like road density, road geometrics and traffic composition. Data is collected at Gochibowli, Kothagudem and Cyber towers intersection regarding road geometrics, road density and volume count using ArcGIS and manually. The Markov chain is a mathematical model is used. Markov chain is a transition probabilistic model which can be used in any stream to find out percentage of chances for an event to take place. Empirical model is developed for delay prediction by considering the values from data collection. Penetrating the values into the transition probabilistic method and linear equations to find out the factors influencing delay and calculating the delay errors. 01 30 2020 2921 2927 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.C8642.019320 https://www.ijitee.org/portfolio-item/C8642019320/ School of Electronics Engineering, VIT Chennai Campus, Chennai, India. B. Nagajayanthi* Urbanization has inflated populace. This has upsurged traffic and pollution turning traffic management into a tangible reality. Gazillions of people around the globe prefer ownership of private vehicles over public mode of transportation. There is an imbalance between the available parking space and demand. The proposed Internet-of-Things (IoT) based nifty parking information system (IPIS) module is deployed on-site to monitor vehicles, signal the availability of parking space to the user, facilitate reservation of the parking slot and thereby reduce the time in finding the parking slot. MIT App Inventor creates applications on Android operating system to facilitate slot reservation for authenticated users. IPIS integrates IoT based Raspberry Pi module with the mobile Application to design an eased parking system operable with minimal energy. The user details are recorded in a server database. Based on this, an RFID tag permits user entry and exit into the parking slot. A Raspberry-Pi(R-Pi) camera module captures the license plate image and uses image recognition algorithm to match the license plate of the vehicle with the database, authenticates and then allows the member to park his vehicle in the respective slot. IPIS provides highly secured, double verified user vehicle authentication. The Raspberry- Pi also adjusts the intensity of the lights using machine learning based on the density of the traffic recorded by the camera module. This research focuses on slot reservation for authenticated users, providing map guidance to the booked slot, maximizing slot utilization, facilitating with vehicle and user timestamp transit details in real time for surveillance, conserving parking slot light energy utilization while regulating the cars through parking spaces and also performs predictive analysis on evaluating the optimum distance between the camera and number plate for recognition and power dissipation. 01 30 2020 3151 3156 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.C8644.019320 https://www.ijitee.org/portfolio-item/C8644019320/ Research Scholar, Department of Electronics and Communication Engineering, Maulana Abul Kalam Azad University of Technology, West Bengal (Formerly known as West Bengal University of Technology) - Makaut,WB, India Rajasree Hazra* Chandan Kumar Ghosh Professor, Department of Electronics and Communication Engineering in Dr. B. C. Roy Engineering College, Durgapur, West Bengal, India. In this paper, a crescent shape 64 (8 × 8) elements microstrip patch array, using rubber substrate is designed and simulated to function at 4 GHz for the application of uterine tumour detection. A comparison using various combinations of antenna array elements is also presented. The centre-to-centre patch element distance is kept 0.5λ (λ = guided wavelength) for the antenna array to control mutual coupling. Electromagnetic simulator Ansoft HFSS 13 is used for the simulation. Characteristic analysis e.g. return loss(RL), radiation pattern of patch antenna array have been investigated. This antenna is placed on human uterine phantom model and simulated to detect uterine tumour. 64-elements antenna array has been fabricated also. In this paper, RL of -26.8384 dB & antenna gain of 21.0271 have been achieved for the proposed array. Human uterine phantom model is designed and simulated by CST Studio Suite 2019. 01 30 2020 3080 3085 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.C8651.019320 https://www.ijitee.org/portfolio-item/C8651019320/ Department, Electrical Engineering, Thapar Institute of Engineering and Technology, Patiala, Punjab, India. Jahangeer* Santosh Sonar Assistant Professor, Department, Electrical and Instrumentation Engineering, Thapar Institute of Engineering and Technology, Patiala, Punjab, India. The paper presents a compact AC-AC single phase voltage regulator based on Impedance network. The proposed topology has ability to perform buck and boost operation in a single stage .The circuit is simple, highly efficient and more importantly reduced manufacturing cost due to its minimal number of active and passive components. The Impedance network has dual function of boosting and filtering. The proposed topology employs two bidirectional switches operating at high frequency PWM pulses. The high frequency switching reduces the size of the Impedance network. The gain of the system is controlled by controlling the duty cycle of the bidirectional switches. The operating mechanism of the proposed topology along with simulation and experimental results are presented. 01 30 2020 1592 1595 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.C8652.019320 https://www.ijitee.org/portfolio-item/C8652019320/ Pursuing M.E from National Institute of Technical Teachers Training and Research (NITTTR), Chandigarh, India. Er. Priya Singla* Dr. Rajesh Mehrais Head of Curriculum Development Center, National Institute of Technical Teacher Training & Research, Chandigarh, India. Scene classification is basic problem in robotics and computer vision application. In Scene classification focused on complete view or event that contains both low and high level features. The main purpose of scene classification is to diminish the semantic gap in between social life & computer system. The main issue in scene classification is recognizing tall buildings, mountain, open country and inside city. We applied combination algorithms of feature extraction on trained datasets. Our proposed algorithm is hybrid combination of SIFT+ HOG named as HFCNN. As compare with the existing CNN architecture, HFCNN perform betters with high accuracy rate. Accuracy rate for proposed architecture is more than 96% as calculated with better time consumption and cost effective. 01 30 2020 1705 1711 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.C8653.019320 https://www.ijitee.org/portfolio-item/C8653019320/ Research Scholar, Dept. of CSE, Pondicherry University, Puducherry, India M. Ganesan* N. Sivakumar Assistant Professor, Dept. of CSE, Pondicherry Engineering College, Puducherry, India M. Thirumaran Assistant Professor, Dept. of CSE, Pondicherry Engineering College, Puducherry, India R. Saravanan Assistant Professor, Dept. of IT, Sri Manakula Vinayagar Engineering College, Puducherry, India In recent days, deep learning models become a significant research area because of its applicability in diverse domains. In this paper, we employ an optimal deep neural network (DNN) based model for classifying diabetes disease. The DNN is employed for diagnosing the patient diseases effectively with better performance. To further improve the classifier efficiency, multilayer perceptron (MLP) is employed to remove the misclassified instance in the dataset. Then, the processed data is again provided as input to the DNN based classification model. The use of MLP significantly helps to remove the misclassified instances. The presented optimal data classification model is experimented on the PIMA Indians Diabetes dataset which holds the medical details of 768 patients under the presence of 8 attributes for every record. The obtained simulation results verified the superior nature of the presented model over the compared methods. 01 30 2020 1596 1604 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.C8656.019320 https://www.ijitee.org/portfolio-item/C8656019320/ GMR Institute of Technology, Rajam, Andhra Pradesh, India. T Venkata Rao* The present study envisages the usage of e-journals and ASCE journals by the faculty members and students of GMR Institute of Technology (GMRIT). Today information technology plays a vital role in every field of life especially in education and also proposes to determine the resolution of using of e-journals, entree place for probing e-journals, ideal format for accessing it and proposals for promoting the use of e-journals. The present engineering college libraries are subscribing different packages as per the AICTE norms. The present paper explains about usage reports of the e-resources journal of the ASCE (American society of civil engineers) and its impact on learning. 01 30 2020 1722 1716 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.C8658.019320 https://www.ijitee.org/portfolio-item/C8658019320/ Department of Computer Science, College of Computer and Information Sciences, Princess Nourah bint Abdulrahman University, Riyadh, KSA Hanan A.* Hosni Mahmoud Dept. of Computer and Systems Engineering, Faculty of Engineering, University of Alexandria, Egypt Breast cancer is one of common cancers in the developing countries. Detection at an early stage is very crucial for better chance of treatment. The techniques used to detect breast cancer are complex and time consuming. Computerized extraction of tumor areas from mammogram images is challenging due to shape and density of breast tumors which can sometimes surrounded by mucous (mucin). One of the challenges is to detect boundaries which can be blurred under noise factor. In this paper, we are introducing a clustering technique combined with specific structural features operations. A new noise elimination algorithm eases the noise problem and enhance the segmentation process using discrete cosine transform. Followed is the segmentation phase where classifying breast tumor from normal tumor are performed using a combined DCT and fuzzy c means algorithm. The contributions of the research are utilizing new filtering technique for noise removal. We also use Fuzzy C mean clustering algorithm using DCT information to determine the initial number of clusters. The tumor extracted segments are then transferred to the frequency domain using DCT and is used to for classifications. A test algorithm is implemented to classify new mammograms. Experimental results for all the proposed algorithms are extensively performed. The noise removal algorithm are proven robust. The experimental results of the search algorithm depicted different match and mismatch cases. 93% of the cases were a match case and predicted correctly. 5% were light cases and could not be detected from the images. 01 30 2020 1841 1847 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.C8661.019320 https://www.ijitee.org/portfolio-item/C8661019320/ PG Student, Department of CS,GIS,GITAM (Deemedto be University), Visakhapatnam, India D Vijay Lakshmi* K Yasudha Department of CS,GIS,GITAM (Deemed to be University), Visakhapatnam, India Vanitha kakollu Department of CS,GIS,GITAM (Deemed to be University), Visakhapatnam, India Analysis of patient’s data is always a great idea to get accurate results on using classifiers. A combination of classifiers would give an accurate result than using a single classifier because one single classifier does not give accurate results but always appropriate ones. The aim is to predict the outcome feature of the data set. The “outcome” can contain only two values that is 0 and 1. 0 means patient doesn’t have heart disease and 1 means patient have heart diseases. So, there is a need to build a classification algorithm that can predict the Outcome feature of the test dataset with good accuracy. For this understanding the data is important, and then various classification algorithm can be tested. Then the best model can be selected which gives highest accuracy among all. The built model can then be given to the software developer for building the end user application using the selected machine learning model that will be able to predict the heart disease in a patient. 01 30 2020 1223 1225 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.C8663.019320 https://www.ijitee.org/portfolio-item/C8663019320/ PG Student, Department of CS,GIS,GITAM(Deemed to be University), Visakhapatnam, India J. Kiran Kumar* Dr. M. Seshashayee Department of CS,GIS,GITAM (Deemed to be University), Visakhapatnam, India Clustering is a procedure of grouping a collection of certain objects into a relevant sub-group. Each sub-group is called as a cluster, which guides users to comprehend the collections in a data set. It is an unsupervised learning technique where each dispute of this type deals with discovering a structure during the accumulation of unlabeled data. Statistics, Pattern Recognition, Machine learning are some of the active research in the theme of Clustering techniques. A Large and Multivariate database is built upon excellent data mining tools in the analysis of clustering. Many types of clustering techniques are— Hierarchical, Partitioning, Density–based, Model based, Grid–based, and Soft-Computing techniques. In this paper a comparative study is done on Agglomerative Hierarchical, K-Means, Affinity Propagation and DBSCAN Clustering and its Techniques. 01 30 2020 2018 2020 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.C8668.019320 https://www.ijitee.org/portfolio-item/C8668019320/ Research Scholar, ECE Dpt, JNTUH, Hyderabad & Assoc. Professor, Samskruti College of Engg & Tech,Hyderabad, India. M. Sreenivasulu* Dr. V. Usha Shree Principal & Professor, Dept of ECE, JRBEC, Affiliated to JNTUH, Hyderabad, India. Dr. P. Chandrasekhar Reddy Professor in ECE, BOS Chairman, Dept of ECE, JNTUCE, JNTUH, Hyderabad, India. Low-power requirements of contemporary sensing technology attract research on alternate power sources that can replace batteries. Energy harvesters’ function as power sources for sensors and other low-power devices by transducing the ambient energy into usable electrical form. Energy harvesters absorbing the ambient vibrations that have potential to deliver uninterrupted power to sensing nodes installed in remote and vibration rich environments motivate the research in vibrational energy harvesting. Piezoelectric bimorphs have been demonstrating a pre-eminence in converting the mechanical energy in ambient vibrations into electrical energy. Improving the performance of these harvesters is pivotal, as the energy in ambient vibrations is innately low. In this paper, we propose a mechanism namely Multilayer-PEHM (Piezoelectric Energy Harvester Model) which helps in converting the waste or unused energy into the useful energy. Multilayer-PEHM contains the various layer, which is placed one over the other, each layer is placed with specific element according to their properties and size, the size of the layer plays an important part for achieving efficiency. Furthermore, this paper presents an audit of the energy available in a vibrating source and design for effective transfer of the energy to harvesters, secondly, design of vibration energy harvesters with a focus to enhance their performance, and lastly, identification of key performance metrics influencing conversion efficiencies and scaling analysis for these acoustic harvesters. Typical vibration levels in stationary installations such as surfaces of blowers and ducts, and in mobile platforms such as light and heavy transport vehicles, are determined by measuring the acceleration signal. The frequency content in the signal is determined from the Fast Fourier Transform. 01 30 2020 1818 1856 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.C8669.019320 https://www.ijitee.org/portfolio-item/C8669019320/ Department of CSE, PES University, Bengaluru, India. Chinmay Subray Bhat* With the evolution of sophisticated NLP algorithms and cloud based solutions, virtual assistants started to reach every home and office in the city. This paper proposes a technique for teaching basic mathematical tables for kids. The device will ask the questions and expect the answer in number format in return. The input received from the kid will be processed and validated. In case of correct answer, the next question will be asked. If answer is wrong, the kid is suitably notified. This ability to interact with the device in natural form like voice would keep the kid engaged to the process of learning. Proposed skill is available for enabling for all the echo family users and the result of customers using the skill is analyzed. The skill used AWS server less service Lambda as backend and Amazon Voice Service for front-end. 01 30 2020 1717 1722 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.C8671.019320 https://www.ijitee.org/portfolio-item/C8671019320/ Department of Electronics & Communication Engineering, P E S College of Engineering, India. Nanda B.S* Puttaswamy P.S Department of Electrical & Electronics Engineering P E S College of Engineering, India. limited by scaling challenges of CMOS devices, the option to improve device performance is to look for novel materials and devices. Carbon, Carbon nanotubes (CNT) and graphene are prominent contenders for substituting silicon in near future. Graphene nanoribbon (GNR) which share many of the fascinating electrical and mechanical properties of CNT are a suitable device material because of compatibility with lithography process. A double gate GNRFET is simulated by solving quantum transport equation with self-consistent electrostatics, while incorporating non-parabolic band structure of GNRFET. Non equilibrium Green’s function (NEGF) approach is used for device simulation. This paper provides physical modeling of GNRFET and investigates the device characteristics and performance for different families of GNRs as well as for different GNR widths. 01 30 2020 3230 3235 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.C8672.019320 https://www.ijitee.org/portfolio-item/C8672019320/ PG Student, Dept. of Civil Engineering, AITS Rajampet, Kadapa, AP, India. T. Sai Bindhusha* S.M.V. Narayana Principal, AITS Rajampet, Kadapa, AP, India. T. Naresh Kumar Assistant Professor, Dept. of Civil Engineering, AITS Rajampet, Kadapa, AP, India. Structural health monitoring and health diagnosis have become the integral parts of 21st century structural engineering practice. Many non-destructive tests are being used to assess the condition of the concrete in existing RCC structures. In addition to these Non-destructive tests sensing systems are also used to monitor the structural health of RCC structures. If a structure fails pre maturely; the consequences are not only the in effective usage of materials and reduction in life span of structures but also loss of money and sometimes loss of lives. When the load is applied on a structural element, it undergoes some deformation or volume change. Deterioration of concrete may be due to many reasons. But the serviceability is very important for the structures. During the application of external loading, concrete structures, and offer resistance and during this process, energy is utilized by the structure to resist the external load. The concrete is solid like a stone and some heat is developed in concrete during the process of loading. By embedding the temperature sensors in the concrete, it is possible to read the temperature developed inside the concrete. In the present investigation an attempt is made to find the change in temperature of concrete at different ages at regular intervals of progressive compressive loading starting from no load to failure of concrete. This will be useful for estimating the health of concrete structures as it is possible to find the temperature changes and the condition of concrete at different percentages of ultimate load. 01 30 2020 1226 1230 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.C8674.019320 https://www.ijitee.org/portfolio-item/C8674019320/ Assistant Professor, Department of Information Technology, Prasad V. Polturi Siddhartha Institute of Technology, Vijayawada, A.P, India. Dr. R.Vijaya Kumar Reddy* K. Prudvi Raju Assistant Professor, Department of Information Technology, Prasad V. Polturi Siddhartha Institute of Technology, Vijayawada, A.P, India. G Venugopal Assistant Professor, Department of Information Technology, Prasad V. Polturi Siddhartha Institute of Technology, Vijayawada, A.P, India. Dr. B.Srinivasa Rao Professor & HOD, Department of Information Technology, Lakireddy Bali Reddy College of Engineering, Mylavaram, A.P, India. The present paper proposes a model for recognizing unconstrained offline two connected handwritten Numeral digit strings. The Numeral strings are segmented and isolated numerals are obtained using sliding window approach with user defined algorithm. Hence the present paper proposes a segmentation-recognition system using the sliding window approach with user defined classifier. The sliding window is used for discovery the interconnection spots and optimal angle for cutting the adjacent digits at the same time and a minimum of 5 features are extracted from each isolated digit for classification. The exploratory outcomes directed on a recently gathered database of manually written digits and got promising results. The overall efficiency obtained using the proposed method is about 98.51%. 01 30 2020 1723 1728 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.C8676.019320 https://www.ijitee.org/portfolio-item/C8676019320/ Assistant Professor, School of Engineering, Department of Computer Science Engineering, Vels Institute of Science Technology and Advanced Studies (VISTAS), Chennai. India. Shaik Javed Parvez. Arun Sahayadhas* Associate Professor, School of Engineering, Department of Computer Science Engineering, Vels Institute of Science Technology and Advanced Studies (VISTAS), Chennai. India. An effective representation by machine learning algorithms is to obtain the results especially in Big Data, there are numerous applications can produce outcome, whereas a Random Forest Algorithm (RF) Gradient Boosting Machine (GBM), Decision tree (DT) in Python will able to give the higher accuracy in regard with classifying various parameters of Airliner Passengers satisfactory levels. The complex information of airline passengers has provided huge data for interpretation through different parameters of satisfaction that contains large information in quantity wise. An algorithm has to support in classifying these data’s with accuracies. As a result some of the methods may provide less precision and there is an opportunity of information cancellation and furthermore information missing utilizing conventional techniques. Subsequently RF and GBM used to conquer the unpredictability and exactness about the information provided. The aim of this study is to identify an Algorithm which is suitable for classifying the satisfactory level of airline passengers with data analytics using python by knowing the output. The optimization and Implementation of independent variables by training and testing for accuracy in python platform determined the variation between the each parameters and also recognized RF and GBM as a better algorithm in comparison with other classifying algorithms. 01 30 2020 1231 1235 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.C8677.019320 https://www.ijitee.org/portfolio-item/C8677019320/ Assistant Professor, Department of EEE, Visakhapatnam, Andhra Pradesh, India. J.S.V.Siva Kumar* Dr. P. Mallikarjuna Rao Professor, Department of Electrical Engineering, Andhra University College of Engineering, Andhra University, Visakhapatnam, Andhra Pradesh, India. The concern over greenhouse gas emissions and their relation to global warming is one of the main reasons for the introduction of electric vehicles into the market. This paper discusses the design and simulation of the fuel cell-based electric vehicle. These FCEVs are "Rechargeable Energy Storage System" (RESS) and provide better acceleration along with regenerative braking as well. The output voltage of the fuel cell's stack is significantly low, then expanded by using the sliding mode control Interleaved Double Boost converter. The boost converter's increased output is given to the inverter to get AC to run PMSM. Using the Space Vector PWM process, gating pulses are given to the inverter and the inverter output is provided to the PMSM drive through the LC filter to minimize ripples in the inverter output. Simulation approaches use MATLAB / Simulink to determine the results 01 30 2020 1729 1735 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.C8681.019320 https://www.ijitee.org/portfolio-item/C8681019320/ Department of Computer Science, Govt. Arts College for Women, Krishnagiri - 635 001. Tamil Nadu, India. K. Samundeeswari* K. Srinivasan Department of Computer Science,, Periyar University Constituent College of Arts &Science Pennagaram, Dharmapuri - 636 803, Tamil Nadu, India. Data mining is better choices in emerging research filed- soil data analysis. crop yield prediction is an important issue for selecting the crop. earlier prediction of crop is done by the experience of farmer on a particular type of field and crop. predicting the crop is done by the farmer’s experience based on the factors like soil types, climatic condition, seasons, and weather, rainfall and irrigation facilities. data mining techniques is the better choice for predicting the crop. the analysis of soil plays an important role in agricultural filed. soil fertility prediction is one of the very important factors in agriculture this research work implements to predict yield of crop, decision tree algorithm is used to find yield. the aim of this research to pinpoint the accuracy and to finding the yield of the crop using decision tree and c 4.5 algorithm is used to predict the yield of crop using r- programming and also to find range of magnesium found in the collected soil data set. this prediction will be very useful for the farmer to predict the crop yield for cultivation 01 30 2020 1857 1860 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.C8683.019320 https://www.ijitee.org/portfolio-item/C8683019320/ Dept. of Mechanical Engineering, Pandit Deendayal Petroleum University, Gandhinagar, India. Abhyuday Singh Thakur* Sagarkumar Patel Dept. of Mechanical Engineering, G.H. Patel College of Engineering & Technology, Anand, India. Vivek Patel Dept. of Mechanical Engineering, Pandit Deendayal Petroleum University, Gandhinagar, India. In today’s era of globalization, it is essential to ensure that Indian manufacturing industries like casting and metal-working industries which work on stringent conditions of varying customer demands and constant adhering to excellent quality standards are able to flourish in the fiercely competitive environment while keeping the production as economical as possible. Hence, the need arises for continuous improvement in the manufacturing phase of the product by assessing, minimizing, and eliminating wastes of any kind. This study adopts and implements a waste assessment model in a casting industry with the purpose of assessment of wastes and hence, proceed towards a leaner manufacturing set-up. Initially, the quantification of direct relationships between the seven types of wastes was done by forming a waste relationship matrix (WRM). Next, a waste assessment questionnaire (WAQ) consisting of 68 questions, was introduced for the allocation of wastes in the industry. The results of WRM and WAQ were integrated to obtain the ranks of the seven types of wastes in the industry, and it was found that waste of defects was the highest-ranked waste followed by wastes of inventory and overproduction. Process Activity Mapping (PAM) received the highest score (482.79) in the analysis done by Value Stream Analysis Tool (VALSAT), thus, it was chosen as the preferred tool in the current situation. The results of Failure Mode and Effect Analysis (FMEA) of various defects of casting indicated sand inclusions (432) and slag inclusions (336) as the defects having the highest Risk Priority Numbers (RPN). 01 30 2020 1861 1866 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.C8686.019320 https://www.ijitee.org/portfolio-item/C8686019320/ Faculty Associate & Research Scholar, KIIT Deemed to be University, Bhubaneswar, India. Sugyanta Priyadarshini* Sukanta Chandra Swain Associate Dean, KIIT Deemed to be University, Bhubaneswar,India. The goal of this paper is to attempt understanding around suicidal ideation in transgender youth and to find out how technology prevents risk of suicidal ideation among them. A pragmatic approach is followed including face to face interview of 75 transgenders about their suicidal thoughts and how major technical advances such as cyberspace, internet, mass media, and telephonic conversation enhance resilience and reduce suicidal thoughts enduring in them. Results in this article motives that instigated suicidal ideas in Transgender youth dominantly comprised of isolation and rejection based on gender identity. Participants conquered suicidal thoughts by connecting with their loved ones for social and moral support and by socializing from private realms to discuss various sensitive and embarrassing issues which regulated their adverse behavior into self-love. 85.33% of Transgender youth out of the sample of 75 agreed to the fact that they have at least once thought of attempting suicide and 75% of the sample have given up the idea of suicide due to technology enhanced intervention by providing a social platform for discussing issues, receiving advices and support about ‘coming out’ despite staying at the fringes of the society. This experimented paper on studying emotions of depressed transgenders can be helpful in understanding the real life challenges in the life of transgender and innovation of up-to-date technology will be encouraged in prohibiting suicidal ideas among transgenders. 01 30 2020 1867 1872 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.C8689.019320 https://www.ijitee.org/portfolio-item/C8689019320/ Professor, Department of Civil Engineering, Kallam Harandha Reddy Institute of Technology, Guntur, Andhra Pradesh, India. Dr.Satish Kumar Moparthi* Ms.G.Venu Ratna Kumari Assistant Professor, Department of Civil Engineering, P.V.P. Siddhartha Engineering College, Vijayawada, Andhra Pradesh, India. Mr. Ambati Dattatreya Kumar Assistant Professor in Department of Civil Engineering, V.R Siddhartha Engineering College, Vijayawada, Andhra Pradesh, India. Mr. M.V. Raju Assistant Professor, Department of Civil Engineering, Vignan’s Foundation for science Technology and Research, Deemed to be university, Vadlamudi, Guntur, Andhra Pradesh, India. Water is the most precious natural resource for the survival of any living organism gifted by GOD which is available as surface water and Groundwater. Rivers are the most important surface water sources to meet the daily requirement of water demand for various activities of the people at any area around the whole world, but in the current scenario rivers are getting pollute due to various natural and manmade activities especially at the down steam areas of rivers. The major source for downstream pollution are due to the runoff of the nearby areas and also some times through the upstream polluted water flow of the rivers which is quite common in the developing cities of our country either by the negligence of the people and or due to the unaware of un desirable consequences of coastal pollution on the environment as well as on the living standards of the people living near to the coastal belts. Geo spatial technology is the advanced tool in water resource engineering to understand the exact existed scenario of groundwater prospects with high accuracy and reliability. The present study is carried out at downstream area of Krishna River in Guntur district of Andhra Pradesh, all the groundwater samples were collected from hand pumps and the bore wells at study area for three times and the average values are considered as final values, Analysis was carried out by using standard analytical procedure and the final average results were projected in GIS maps and then correlated with IS–10500-2012 drinking water quality standards to assess the present condition of groundwater at study area. 01 30 2020 1236 1241 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.C8690.019320 https://www.ijitee.org/portfolio-item/C8690019320/ Currently Pursuing P.hD in Computer Science and Systems Engineering at Andhra University College of Engineering, Andhra University, Vizag, India. Gona Anil Kumar* Dr Kasukurthi, Venkata Rao Working as Professor in the Department of Computer Science and Systems Engineering, Andhra University College of Engineering, Andhra University, Vizag, India. Dr Nistala V.E.S. Murthy Working as a Professor in the Department of Mathematics,Andhra University Collegege of Science and Technology, Andhra University, Vizag , India. Division is a procedure of dividing the picture into numerous items. It assumes an indispensable job in numerous fields, for example, satellite, remote detecting, object recognizable proof, face discovery and, most importantly, in the therapeutic field. In radiology, attractive reverberation imaging (mri) is utilized to consider the procedures of the human body and the elements of life forms. In clinics, this procedure has been generally utilized for therapeutic determination, to discover the phase of the malady and follow-up without introduction to ionizing radiation. Here, in this exploration proposition, we present another and new component for gathering the components of the improved rm picture, that is the high goals come to by the cross breed half and half (hw) proposed with insertion calculations, which will create much better outcomes. Contrasted with existing plans, for example, fcm and k-midpoints, to improve exactness and lessen estimation time. It additionally figures the region of the tumors with the assistance of the binarizatio technique that ascertains the territory of the tumor dependent on the amount of white pixels. The exhibition of the reproduction demonstrates that the proposed plan worked superior to the current division strategies. 01 30 2020 1873 1879 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.C8691.019320 https://www.ijitee.org/portfolio-item/C8691019320/ Department of Computer Science and Engineering Government Engineering College, Devagiri, Haveri, India. Mr. Shivaprakash* Dr. Vishwanath C Burkpalli Department of Information Science and Engineering P.D.A. College of Engineering Gulbarga, India. Dr. B. S. Anami Principal, K.L.E. Institute of Technology Hubli, India. Recognition of the Teeline shorthand is the interesting research problem. The accurate recognition of the Teeline patterns which helps the journalists to summarize the VIPs talk during the press meets which reduces the writing time. In order to address the above issues, the proposed method addresses the automatic recognition of the Teeline symbols which is used to provide alphabets as output. The framework consists of obtaining the input image, pre-processing it, perform the background subtraction on grayscale image and prepare the dataset for recognition. To prepare the dataset, the letters are written using the digital pen, it generates the pixelsand it is recorded in the Android application. Later these pixels are used to convert them into the image dataset. The prepared database is fed to the manually designed eleven layered Convolutional Neural Network (CNN). CNN is designed in such a way that it accepts the input Teeline alphabet and it able to say the equivalent English alphabet based on the training process. It has been carried out on the MATLAB 2018b and achieved the accuracy of 95%. 01 30 2020 1242 1246 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.C8693.019320 https://www.ijitee.org/portfolio-item/C8693019320/ Mechanical, Indus Institute of Technology & ngineering, Ahmedabad, India Drashtant Khandwala* Parthiv Pandya Mechanical, Indus Institute of Technology & Engineering, Ahmedabad, India. Bhargav Ladani Mechanical, Indus Institute of Technology & Engineering, Ahmedabad, India. Paumil Khatri Mechanical, Indus Institute of Technology & Engineering, Ahmedabad, India. Jignesh Patel Assistant Prof Mechanical, Indus Institute of Technology & Engineering,Ahmedabad, India. As a result of excessive air pollution caused from the vehicles the automobile industry is shifting its focus from traditional I.C. engine powered vehicle to electrically propelled vehicles. Although this shift is eco friendly when compared, it has its demerits too. Among these the range of an EV is preeminent. This research paper counters this downside of the EV by focusing on the depletion rate of the batteries, used to power the vehicle. Renewable energies like- Solar Energy & Wind Energy are used as the chief form of alternate energies by which power can be generated and connected with EV in order to help sustain and reduce the depletion rate of batteries. Along with these energies we can also use different technologies such as-Regenerative Braking, piezoelectric suspension system, etc. for reducing the depletion rate. These technologies can also be directly used for powering the secondary units such as headlights, horn, indicators, etc. This research paper revolves around this core idea and also to backhand this research we have fabricated a basic EV along with Solar & Wind module, namely the MAE-Car (Multiple Alternative Energy Car). 01 30 2020 1247 1252 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.C8701.019320 https://www.ijitee.org/portfolio-item/C8701019320/ Assistant Professor in Information Technology Department, Faculty of Science and Technology, Suan Sunandha Rajabhat University, Thailand. Sumitra Nuameesri* Lap Poomhiran Ph.D. student in Information Technology, Faculty of Information Technology Department, King Mongkut’s University of Technology North Bangkok, Thailand. In Thailand, the joblessness rate is continually expanding for new graduates. But information technology careers are nevertheless popular in business in this digital age. Finding a way to support students to know the career direction that is suitable for them and is ready before going out for a job is therefore very valuable. However, most students do not know which occupation is best for them and are concern about the need to educate themselves and build up information that is suitable for their current career. This paper presents the Thai mobile application for predicting a student's career based on subject results and guidance of training courses for information technology career path using the Apriori algorithm and ontology technique with the longest matching approach in the process of Thai word segmentation. The developed mobile application was tested in black box by experts and evaluated the satisfaction by users. The result shows that the developed mobile application was the highest effective with the high consensus for the evaluation of user satisfaction. 01 30 2020 1736 1741 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.C8706.019320 https://www.ijitee.org/portfolio-item/C8706019320/ Department of Mechanical Engineering, College of Engineering Trivandrum, India. Akshay B* Sony Alias Department of Mechanical Engineering, College of Engineering Trivandrum, India. Ramesh Kumar R Department of Mechanical Engineering, Sree Chitra Thirunal College of Engineering, Trivandrum, India. A simple and novel design concept for a CFRP composite triple clamp of a motorbike is brought out for low mass that fulfills the stiffness and strength requirement when compared to an existing steel triple clamp. In general, for any triple clamp configuration, the ideal fibre angle is chosen as the angle that subtends in the arm of the clamp with respect to the longitudinal direction (a line connecting the two fork holes). The initial design configuration is fabricated using a commercially available low modulus bi- directional carbon–epoxy laminate and tested for the evaluation of axial and transverse stiffnesses. Finite element model is then verified through the test data. Using the validated FE model, a new design with the high modulus carbon-fiber is arrived at. The proposed composite design suitable for high performance motorbike that possesses, high margin over critical load case with low mass when compared to steel clamp is provided. 01 30 2020 1253 1259 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.C8708.019320 https://www.ijitee.org/portfolio-item/C8708019320/ Ph.D. Scholar, Department of Physics, Rjiv Gandhi University, India. K C Handique* Barnali Barman PhD, Department of Physics, Rajiv Gandhi University, India. P K Kalita Professor, Department of Physics, Rajiv Gandhi University, India. Core-shell nanocomposites are of immense interest among the research community for its potential applicabilities in various optoelectronic devices. In this work cadmium sulphide (CdS), lead sulphide (PbS) and their core shell PbS/CdS nanostructures have been synthesized through chemical bath deposition method. Their structural and optical properties are studied accordingly through diffractometric and spectrometric techniques. The phase of the core PbS is cubic zinc blende and of the shell CdS is hexagonal wurtzite confirmed from the XRD data. The optical bandgaps are calculated from the absorption spectra and are found to be 2.2eV for PbS and 2.7eV for CdS whereas for core shell PbS/CdS it reduces to 2.1 eV. The photoluminescence spectroscopy has been done on the samples and the spectra shows a blue shift of its near band gap emission for core PbS when it is coated with shell CdS which is not according to the usual behavior of core shell nanostructures. These optical properties are clearly carrying evidences of cationic ligand exchange between the cadmium and lead ion complexes. The conductivity of the prepared samples are measured at room temperature and it is found to be higher in case of PbS/CdS than the core PbS and shell CdS. The increase of bandgap and conductivity of PbS/CdS is a suitable nature for the application of this material in photovoltaic devices. The quantum yield of the core shell nanocomposites is also greatly enhanced that makes the synthesized nanostructures one of the potential candidates for the application in various optoelectronic devices. 01 30 2020 1260 1263 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.C8709.019320 https://www.ijitee.org/portfolio-item/C8709019320/ Department, of Electonics and Communication, NMAMIT Nitte, affiliated VTU Belagavi, Udupi, India. Kavitha S* Dr. B. Aziz Musthafa Department of Computer Science, BIT Mangalore, Mangalore, India. Diagnosis of diseases require high resolution images of human body parts. Magnetic Resonance Imaging (MRI) is a popular technology commonly used for this purpose. In addition to having several benefits, this technology has few shortcomings also. One of them is its high scanning time. In MRI acquisition of image is based on the principle of traditional sampling theorem. The novel sampling theory called as Compressive Sensing (CS) which allows the reconstruction of sparse signals from undersampled data. The application of CS onto MRI will drastically reduce the acquisition time and hence scanning time. In this manuscript analysis and application of CS on to MRI is demonstrated. Simulations are carried out using Variable Density Sampling trajectories (VDS). Then a comparative study is made in terms of Signal to Noise Ratio (SNR) and execution time based on the result obtained. 01 30 2020 1264 1267 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.C8712.019320 https://www.ijitee.org/portfolio-item/C8712019320/ Research Scholar, Department of Operations & IT, ICFAI Business School (IBS), Hyderabad, India. Vaidik Bhatt* P Sashikal Professor, Department of Operations & IT, ICFAI Business School (IBS), Hyderabad, India. Artificial neural network can be the good classifier based on its capabilities of supervised learning and back propagation of the error. We have used this capability of ANN for distinguishing buyers and non-buyers in the automotive industry sales to save the time of the sales consultant in order to provide the better services to the potential buyer and convert the inquiry into the sales. Based on the six parameters with the ANN consisting of one hidden layer and 4 hidden units we have checked the results which is satisfying. 01 30 2020 1268 1272 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.C8713.019320 https://www.ijitee.org/portfolio-item/C8713019320/ PG & Research Department of Computer Science, Chikkanna Government Arts college, Tirupur, India. Srivalli Devi S* Dr.A. Geetha PG & Research Department of Computer Science, Chikkanna Government Arts college, Tirupur, India. Agriculture has been evolving since humans started cultivating plants for food consumption. As the agriculture field evolves, the disease control measures too have evolved. Now in this modern era, disease in plants can be easily identified using computers. Data mining is the process of obtaining the useful information from the data. Before the electronic era, diseases in plants are identified just by seeing the symptoms of the plants. Similarly, we can identify the diseases in plants using data mining by supplying the disease symptoms data and classify them accordingly. The purpose of this paper is focusing on the prediction of the diseases from images of black sigatoka disease and uses the following methods: MultilayerPerceptrons, SVM,KNeighborsClassifier,K-NeighborsRegressor, Gaussian Process Regressor, Gaussian Process Classifier, GaussianNB, Decision Tree Classifier, Decision Tree Regressor, linear models such as Linear Regression, RidgeCV, Lasso, ElasticNet, Logistic RegressionCV, SGD Classifier, Perceptron and Passive Aggressive Classifier and ensemble models of the above classifiers. The results are compared, and multilayer perceptron model is seen to give better results for individual classifiers and ensemble of week classifiers gives better results when ensembled. In future, a new hybrid algorithm would be used from the above algorithms for attaining better accuracy. The scikit is a library used for classification, clustering, regression, dimensionality reduction,model selection and preprocessing. Our paper discusses various classifiers used in scikit-learn library for Python and their ensembling is done. This can be applied to all the classification tasks. Classification is done for classifying the black sigatoka disease in banana from healthy leaves.This disease is the most vulnerable one among banana plants. 01 30 2020 1273 1278 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.C8714.019320 https://www.ijitee.org/portfolio-item/C8714019320/ Research Scholar in Rayalaseema University, Kurnool, A.P, India. Venkata Rathnam Korukonda* Dr. E. Sreenivasa Reddy Professor &Dean, University college of Engineering, Acharya Nagarajuna University, Guntur, A.P, India. This paper provides a general indication of the existing approaches rely on basic factor (i.e. extraction of iris information, affine transform, and distance matrix) as input. An essential factor in effective design of IRIS based biometric approach is the accuracy with which the model can estimate a region of interest (i.e. IRIS) within constraints and unforeseen issues, which can be very problematical but need of the hour. We introduced a new IRIS based biometric system that incorporates various factors that takes complete information of eye for developing the feature set (digest) while affine transforms are not incorporated while the three sets distance measure is incepted to enhance accuracy. The algorithm-based size of template, functionality of distance measure and/or scope, methods and/or function of application through well-defined scientific and statistical principles. Unfortunately, the accuracy of the existing approaches is limited despite the large scale of experience with several improvements based on digital image processing and statistical models. Henceforth, we incorporated several texture analysis algorithms with computing techniques along with several parametric enhancement constraints to ensure the feasibility, effectiveness and efficiency of the proposed framework in comparison with the existing methods. 01 30 2020 1742 1753 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.C8717.019320 https://www.ijitee.org/portfolio-item/C8717019320/ Department of Computer and Information Science, Annamalai University, Chidambaram, Cuddalore, Tamil Nadu, India. S. Anand Christy* Dr.R. Arunkumar Department of Computer Science and Engineering, Annamalai University, Chidambaram, Cuddalore, Tamil Nadu, India. Financial Crisis has been the stern problem experienced by various organizations or even common people when interested in investing in any Financial institutions like banks, Funds development institutions etc. Hence it is mandatory that a reliable prediction system should be applied in early prediction of Financial Crisis Prediction thereby preventing investment in weak financial institutions that might lead to bankruptcy. The Paper focuses on designing a Hybrid Optimized Algorithm called Hybrid Unified Machine Classifier (HUMC) based on Machine Learning Technique that would be capable of identifying categorized and continuous variables in a financial crisis dataset and determine the confusion matrix that can be instilled in performance analysis tool comprising of analytics and prediction related to Accuracy, F-Score, Sensitivity, Specificity, False Positive Rate (FPR) and False Negative Rate (FNR) respectively. Early testing with the training set of Australian credit dataset were tested with machine learning classifiers like Decision Tree, PART, Naive Bayesian, RBF Network and Multilayer Perceptron algorithms with accuracies 85.50%, 83.62%, 77.24%, 82.75% and 84.93% respectively. The Algorithm HUMC was developed based on combining classification features from decision tree, identifying hidden nodes and model with boosting technique that could enhance the performance levels of the Financial Crisis Prediction. The design of algorithm comprised of best characteristics of both classification and neural networks that are capable to find categorization criteria in the dataset at the first level and also to find the hidden continuous data during the second stage respectively. The design of HUMC was implemented and tested with MATLAB. The Result showed that HUMC algorithm showed greater accuracy (86.25%) in comparison to other classifier models along with other performance measures. Thus, this algorithm enhances the prediction of Financial Crisis predictions with good performance. 01 30 2020 1279 1285 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.C8722.019320 https://www.ijitee.org/portfolio-item/C8722019320/ Asst. Professor, Department of Mechanical Engineering, Adithya College of Engineering, Madanapalle. India. Sambaturu Gopi* Yedukondalu Talakonda Research Scholar, Department of Mechanical Engineering, JNT University, Anantapur, Ananthapuramu, India. Eswar Balachandar G Research Scholar, Department of Mechanical Engineering, JNT University, Anantapur, Anthapuramu, India. It is not easy to lift the heavy loads with bare ropes or other components. Winches are very useful for various mechanical applications. In this present work, winch shaft is designed and analysed using Finite Element Method (FEM). Catia and Nastran programs are used for the modelling and analysis. Static and Harmonic analysis are carried out on the winch shaft. In static analysis the maximum displacement induced is .009817 mm, hence based on Rigidity, and stresses in Z-direction are observed to be 0.122E -0.7 mm and 158.731 N/mm2 respectively. The maximum stress and fundamental frequencies found are 119.009 MPa and 143.98 Hz. The deflection value from theoretical calculations is 0.013 mm. The mathematical relations are used for the validation of the analysis and found good agreement. 01 30 2020 1286 1290 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.C8724.019320 https://www.ijitee.org/portfolio-item/C8724019320/ Research Scholar, R& D Centre, Bharathiar University , Coimbatore, India. S.Uma Mageshwari* Dr. R. Santhi Research Supervisor, Bharathiar University, Coimbatore, India. The IOT is booming in this era, to make user convenience much better than before. The IOT devices involved for communication can be vulnerable by the intruder. During data transmission for the IOT devices, it must be authenticated with suitable methodology. The hackers spoof the address and pretend to be the actual communicator. The other party trust this spoofed address is the authorized person. Hence, this can be processed with the appropriate Cryptography algorithms. The proposed approach is the fusion of AES and ECDSA with implementation of Python code in Ubuntu Linux. The established code takes the Network Address (MAC – Media Access Control) of running host directly through OS, such that the Network address is encrypted. The verification of the Network address is demonstrated with Windows and Ubuntu Virtual Machine. Therefore, the developed code must be installed in IOT device to accomplish secure data transmission. The motto of this paper is to enlighten the security for Network address of IOT devices. 01 30 2020 3086 3091 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.C8725.019320 https://www.ijitee.org/portfolio-item/C8725019320/ Assistant Professor, Department of EEE, Gnanamani College of Technology, Namakkal, India. M. Gowri Shankar* Dr. C. Ganesh Babu Professor, Department of ECE, Bannari Amman Institute of Technology, Sathyamangalam, India. This effort examines and likens a collection of active methods to dimensionally reduction and select salient features since the electrocardiogram database. ECG signal classification and feature selection plays a vital part in identifies of cardiac illness. An accurate ECG classification could be a difficult drawback. This effort also examines of ECG classification into arrhythmia kinds. This effort discusses the problems concerned in Classification ECG signal and exploration of ECG databases (MIT-BIH), pre-processing, dimensionally reduction, Feature selection techniques, classification and optimization techniques. Machine learning techniques give offers developed classification accurateness with imprecation of dimensionality. 01 30 2020 797 804 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.C8728.019320 https://www.ijitee.org/portfolio-item/C8728019320/ Department of ECE, Aurora’s Technological and Research Institute, Hyderabad, India. S. Sivasundarapandian* M. Shravan Kumar Reddy Department of ECE, Aurora’s Technological and Research Institute, Hyderabad, India. The RF front end receiver plays a key role to fulfill the demands of the numerous applications in the wireless communication .This article of lettering portrays about the analysis of planar microstriplines based multiband passive microwave devices which are simulated in ADS (Advanced Design System) software. Also we have designed a multiband band pass filter, and multiband hybrid coupler which are essential in the front ends design of receivers such as software defined radio and cognitive radio. Here BPF covers the frequency range from 400 MHz-2GHz and hybrid coupler covers from 1-5GHz. With the use of these components the single band RF front end will become the multiband front end receiver architecture. 01 30 2020 2105 2108 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.C8729.019320 https://www.ijitee.org/portfolio-item/C8729019320/ Research Scholar, VTU, Bangalore, India. Manjula G* Dr .Mohan H.S. Prof & Head, Dept. of ISE, SJBIT, Bangalore, India. Today, with the invent of modern technological applications, it requires a greater security measure to transmit confidential data over various unsecure networks particularly in the fields of military, medical Infrastructure and so on. It can be sent through various communication channels that includes multimedia media like audio/video, electronic signals etc. To transmit information securely, different methods like steganography or cryptography can be used. The term steganography has its derivative from the Greek words “steganos” meaning hidden or covert and graphia meaning writing.Steganography can be defined as a way of hiding a confidential file, text information, or any other multimedia content (image, video or audio)into any other multimedia carrier file. In this work, steganography based on Discrete Wavelet Transform (DWT) method is proposed where in the secret data is inserted in the modified coefficients of the cover image. The proposed steganography method is implemented in the frequency domain. This approach caters to the needs of users based on the capacity and quality of inclusion data to be transmitted using medical images. To attain this, the recommended algorithm comprises of converting the message into encrypted text using the modified AES algorithm with 8x8 state matrix and incorporating information of encrypted text into medical images. Contrasting to the spatial domain methods, the encrypted confidential messages will be are assimilated into the high frequency coefficients which are obtained by applying discrete Wavelet transformation. Experimental results reveal that embedding encrypted data using DWT technique gives good PSNR values to attain high quality stego images. 01 30 2020 2620 2624 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.C8730.019320 https://www.ijitee.org/portfolio-item/C8730019320/ Design Center “Design of Integrate Microelectronic System”, National Research University of Electronic Technology (MIET), Moscow, Russian Federation. Sergey Lebedev* Sergey Sinutin Institute of Radio Engineering Systems and Control, Southern Federal University. Evgeniy Sinutin Scientific and Technical Center "Technocentre" of Southern Federal University. Petr Koropets Department of Traction Rolling Stock, Electromechanical faculty, Rostov State Transport University, Rostov-on-Don, Russia. This article describes the actual problem for railway transport, maximum thrust without boxing. The classification for dynamic modes operation of the locomotive drive is presented. An example of a system built for locomotive is presented. It is possible to use an encoder and vibration sensor inside a smart axle-box. These sensors based on a specially domestic designed ASIC. It is shown that vibration sensors could be positioned on the cover of an axle-box. Considering this fact, one could develop a system for predicting “before boxing” state of a wheel pair. That system could be based on domestically produced electronic components. This article is about developing a smart device for railway transport, in particular, for traction vehicle. The operating principle is based on express analysis of dynamic processes in the contact of the wheel with the rail, the characteristics of which are determined by the angular accelerations of the wheel pair and forward accelerations of the axle box, i.e. the bearing housing, which is rotating in the wheelset axle. 01 30 2020 2109 2121 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.C8735.019320 https://www.ijitee.org/portfolio-item/C8735019320/ Assistant Professor, Department of Civil Engineering, Government College of Engineering, Thanjavur, Tamilnadu, India. Ilango Sivakumar* S. Selvamuthu kumar Assistant Professor in Department of Civil Engineering, Government College of Engineering, Thanjavur, Tamilnadu, India. The study mainly focuses on the drawbacks in the present Tsunami Mitigation Plans(TMP), since It has been identified from the assessment of the 2004 Tsunami, the major cause for the destruction of coastal lives is due to ineffective mitigation plan for Tsunami. The study proceeds in finding out the human vulnerability by means of questionnaire survey made with the community, responsible officials and administration of the considered region for scrutinizing the existing Tsunami Mitigation Plan using some specific vulnerability factors. The relevant research information is gathered and interpreted using logistic regression analysis and a model is determined to improve mitigation activities. The obtained model is used to identify the weakness parameters in existing system. Hence, in this study, the identified issues are resolved and from that certain recommendations and suggestions are given for the community which could serve as a fine strategy and better effective community based Tsunami mitigation strategies accordingly. 01 30 2020 2625 2631 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.C8736.019320 https://www.ijitee.org/portfolio-item/C8736019320/ Department of CSE, ACS College of Engineering Bangalore, India. T. Senthilkumaran A. Muruganandhan* Department of ECE, Rajarajeswari College of Engineering, Bangalore, India. M. Mathivanan Department of ECE, ACS College of Engineering, Bangalore, India. The challenging task is protecting the data which are uploaded to the cloud becomes bigger worries in a cloud environment system. In this type of security is needed for monitoring of data access in a cloud environment and is getting more and more attention in recent days. Few strategies which can be afford for top-secret and an unknown authentication for delicate information and it is more efficient than doing the encrypting data first and then sign or doing the sign first then encrypting the data. However, in so many previous work, delicate information of data users can be reveal to authority, and only the authority is responsible to answer to that type of attribute management and generation of key in the system. The proposed system states that confidentiality and protective of data access control over the cipher text scheme based on cloud security. It is provide a control measure, attribute confidentiality and guard the data’s of user concurrently in a multiple authority cloud system. Both the attributes of designcryptor and signcryptor can be kept secret by not knowing to the authorities and cloud storage server. Besides, decryption in the clouds for users as becomes meaningfully reduced by outsourcing the unwanted bilinear pairing process to the cloud server without humiliating the attribute privacy. The planned scheme is confirmed for protecting the standard model and has the skill to provide top secret, unforged, unknown authentication, and verifiability of public. The security analysis which are relating to comparison of difficulty and results of execution will indicate that the proposed system has the capacity to balance the security issues with respect to computation in hypothetical efficiency. 01 30 2020 2632 2635 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.C8737.019320 https://www.ijitee.org/portfolio-item/C8737019320/ Associate Professor, PG Department of Computer Science, SDNB Vaishnav College for Women (Affiliated to University of Madras), Chennai, India. Dr. N. Priya G. Shobana* Assistant Professor, Department of Computer Applications, Madras Christian College (Affiliated to University of Madras), Chennai, India. In pharmaceutical research, traditional drug discovery process is time consuming and expensive, where several compounds are experimentally tested for their biological activities. Series of lab experiments are conducted to analyze newly synthesized drug’s pharmaceutical activities and its biological effects on human. With every new drug discovery, the required clinical properties can be determined using machine learning models and this greatly reduces the experimental cost. This paper explores parametric and non-parametric machine learning models to classify administration properties of drugs and its toxicity. The multinomial classification of drugs was based on their physicochemical and ADMET properties. Balanced data samples were drawn from chEMBL and was pre-processed. Features were reduced using Recursive Feature Elimination and the attributes were ranked based on their importance to reduce highly correlated attributes. The performance of parametric and non-parametric machine learning models was analyzed on cheminformatic data that includes physiochemical, biological and pharmaceutical properties of the drug molecules. Selecting the potent drug candidate along with its administration properties greatly reduces wet lab experimental time and cost. Multiclass classification can be determined efficiently using non-parametric machine learning model. Optimal feature engineering, tuning hyperparameters and adopting hybrid algorithms would result in more accurate predictions in future for cheminformatics data. 01 30 2020 2021 2027 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.C8740.019320 https://www.ijitee.org/portfolio-item/C8740019320/ Department of Mechanical Engineering, Periyar Maniammai Institute of Science & Technology, Vallam, Thanjavur-613403, Tamil Nadu, India. N. Ramasamya D. Jeyasimman Department of Mechanical Engineering, Periyar Maniammai Institute of Science & Technology, Vallam, Thanjavur-613403,Tamil Nadu, India.. Coal Nozzle Tip substrates are laid with chromium carbide alloy overlay to improve the performance life cycle of the component in power boiler. Overlay with hard faced materials exhibits better erosion / wear resistance of the components. Nozzle tips are located in front of the fire ball and gets heated up to 650 ºC due to radiations. The purpose of the investigation is to evaluate the performance of chromium carbide over lay in terms of life cycle. The Chromium rich tubular electrode was used to overlay on plate SA 240 type 309S substrate by Shielded Metal Arc Welding process. Test specimens were prepared for SEM/EDAX, microstructure analysis, hardness and jet erosion test. Surface hardness and jet erosion tests were carried out on hard faced surfaces at elevated temperature 600 ºC and 700 °C. Test results were analyzed and found that the Chromium carbide overlay resulted with low hardness and high erosion at elevated temperature with steeper impact angle. 01 30 2020 2122 2127 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.C8743.019320 https://www.ijitee.org/portfolio-item/C8743019320/ Research Scholar, PRIST University, Thanavur, Tamilnadu, India. Bharathi R.* N. Parvatham Associate Professor, PRIST University, Thanjavur, Tamilnadu, India. The Physical Layer Security mechanism has emerged as a powerful concept that can provide high-level security and can even replace encryption oriented schemes, which necessitate various difficulties and practical challenges for future communication systems (e.g., IoT). Therefore, the critical goal of this work is to enhance the security performance at IoT and prevent the network from various eavesdropping attacks. In this Manuscript, analyze the hardware-based Physical Layer Security solutions and suitable cryptographic Algorithms for IoT applications. The Cryptographical Algorithms include AES, DES, Light Encryption Devices (LED), PRESENT, Extended Tiny Encryption Device (XTEA) are analyzed on the Hardware platform. The Hardware constraints like Area, Frequency, Latency Throughput, and efficiency are evaluated on FPGA devices. 01 30 2020 2128 2132 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.C8752.019320 https://www.ijitee.org/portfolio-item/C8752019320/ Research Scholar, Department of Computer Science Engineering, Parul University, Vadodara, India. Jaimeel Shah* Dr. Chirag Patel Associate Professor, Department of Computer Science Engineering, Parul University, Vadodara, India. Different ICT-empowered service providers additionally have either embraced distributed computing or began moving administrations to cloud framework. Be that as it may, the expanding interest for cloud based foundation has come about into extreme issue of managing the resources and adjusting of load for cloud specialist providers and customers. Specialists have recommended various resource provisioning techniques for effective resource usage. An epic burden adjusting procedure addressing the movement of the outstanding task at hand from over-stacked VM to gently stacked VM in distributed computing conditions is presented in this paper. An undertaking is made to help the cloud accomplices to beat the imbalanced asset utilization issue is shown in this paper. 01 30 2020 2133 2136 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.C8753.019320 https://www.ijitee.org/portfolio-item/C8753019320/ Department of Technical & Engineering Education, Universiti Teknologi, Malaysia, 81310 Skudai, Johor Bahru, Malaysia Idris Mohammed Abdullahi* Mohammed Khata bin Jabor Department of Technical & Engineering Education, Universiti Teknologi, Malaysia, 81310 Skudai, Johor Bahru, Malaysia Terungwa Stephen Akor Department, of Vocational & Technical Education, Benue State University, PMB 102119, Makurdi, Benue State Nigeria. The Fourth Industrial Revolution (4IR) which is technological driven has brought a lot of opportunities those with entrepreneurial mindset as most of the skills demanded in the 4IR are entrepreneurial. This calls approaches that can lead to the development of engineering entrepreneurs that can drive the 4IR. To this effect, this study explored experts’ opinions on the most relevant entrepreneurial skills for the 4IR engineers as well as the best teaching methods to be adopted for the teaching of entrepreneurship education in Nigerian polytechnics. A two-round Delphi interview was used to arrive at 19 entrepreneurial skills with experts’ consensus of Wa = 0.821 and 8 innovative teaching methods with experts’ consensus of Wa = 0. 925. The results from the findings were used to develop a conceptual framework for the development of 4IR Entrepreneurial skills. 01 30 2020 2636 2642 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.C8754.019320 https://www.ijitee.org/portfolio-item/C8754019320/ Department of Civil Engineering, RVR & JC College of Engineering, Guntur, India. Dr. R. Chandramohan* N. Siva Vignesh Geo analyst, ARS Geomatics, Dindigul, Tamil Nadu, India. Groundwater becomes mandatory in day-to-day routine life without any limitation; we were using groundwater for irrigation, domestic and industrial needs. Unlimited groundwater pumping has decreased groundwater levels in some areas of the review region. The purpose of this document is to present the description of the outlet points of the river basin. This document explains the method of revealing the DEM-based basin outlet point. With Geographic Information System (GIS) support, river boundary basins and drainage areas are discharged into an area where a pumping station can be installed in the Ottanchatram district of Dindigul, Tamilnadu. To provide easy flow of wastewater to a treatment plant or river basin. Using an environmental GIS hydrology module, the watersheds for Ottanchatram taluk have been illustrated. The result of this experiment indicates that this method can effectively solve the problem of parallel routes and the main channel out of its natural position. In flat, mountain and landscape areas this method can reveal pour point by using DEM. 01 30 2020 2137 2144 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.C8755.019320 https://www.ijitee.org/portfolio-item/C8755019320/ Research Scholar, EEE PhD, Rayalaseema University, Kurnool, Senior Member IEEE, Principal, PLNM Degree College, Opposite Acharya Nagarjuna University Mens Hostel, Nagarjuna Nagar – 522 510, Guntur Dist., AP, India. Kishore Prabhala* Prof. Prabhandhakam Sangameswara Raju EEE, SVU Engineering College, Sri Venkateswara University, Tirupati – 517 502, AP, India. As One Giga Hertz microprocessors power mobiles, laptops, tablets and personal computers in last few years, there is a massive need to reduce the number cycles to do addition which plays a significant role in Arithmetic Logic Unit (ALU) or Digital Signal Processing (DSP). The complexity of carry propagation is the critical variable once the designs requires addition over 32 bits. A hierarchical design has been developed to find Carry out at 16-bit stage from Propagate and Generate techniques from a 4-bit stage of Carry Lookahead Adder (CLA), so called Carry Lookahead Logic (CLL). Four blocks of CLL have been used to create another CLL block at a 16-bit level and similarly at 64 bit level and 128 bit level. A 65 nm CMOS technology library from Microwind used to simulate from logic to circuit level for the hierarchical design of 128 bit CLA and compared with 90 nm technology 01 30 2020 2643 2648 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.C8757.019320 https://www.ijitee.org/portfolio-item/C8757019320/ Dept. of Electrical, Electronic and System Engineering, Universiti Kebangsaan Malaysia, 43600 UKM Bangi, Selangor Abduljalil Saif* Mahamod Ismail Dept. of Electrical, Electronic and System Engineering, Universiti Kebangsaan Malaysia, 43600 UKM Bangi, Selangor Darul Ehsan, Malaysia. Rosdiadee Nordin Dept. of Electrical, Electronic and System Engineering, Universiti Kebangsaan Malaysia, 43600 UKM Bangi, Selangor Darul Ehsan, Malaysia. Mohammed Fadhil Dept. of Electrical, Electronic and System Engineering, Universiti Kebangsaan Malaysia, 43600 UKM Bangi, Selangor Darul Ehsan, Malaysia. Nor Fadzilah Abdullah Dept. of Electrical, Electronic and System Engineering, Universiti Kebangsaan Malaysia, 43600 UKM Bangi, Selangor Darul Ehsan, Malaysia. Cooperative Relay is a promising enhancement to modern radio technologies which has been considered in LTE-Advanced and IEEE 802.16m technologies. Cooperative Relay is one of the technologies that used to improve coverage in downlink mobile network. The work is done by designing numerous environments for LTE-Advanced networks involving relays, whereby using vertical distributions of relays for both AAF & DAF techniques as well as comparison between the performances optimal of both techniques on urban micro cell for LTE-Advanced Technologies, Insertion the channel model from WINNER project. The performances optimal of non-Cooperative Relay and Cooperative Relay are evaluated in terms of Symbol Error Rate (SER) and Signal-to Noise-Ratio (SNR). The simulation results show that relay technologies can effectively improve system performance. On the other hand, 10-Relay in vertical distributions clearly shows outperforms on other environments and, when the relay put near, middle and far from Evolved Node B (eNB), the result shows at SER of 10-3 the system that employs AAF technique outperforms on the system that employs DAF technique in LTE-A system by about 6.5 dB, 2.5 dB and 2 dB sequent. 01 30 2020 2145 2155 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.C8760.019320 https://www.ijitee.org/portfolio-item/C8760019320/ Department of Computer Science and Engineering, Faculty of Science and Technology, IcfaiTech, ICFAI Foundation for Higher Education, Hyderabad, India. Sripad Joshi Sandeep Kumar Panda Department of Computer Science and Engineering, Faculty of Science and Technology, IcfaiTech, ICFAI Foundation for Higher Education, Hyderabad, India.. Sathya AR* Department of Computer Science and Engineering, Faculty of Science and Technology, IcfaiTech, ICFAI Foundation for Higher Education, Hyderabad, India. In this study, estimating the maturing condition in gardens helps to enhance the process of post-harvesting. Collecting fruits on the basis of their developmental stage will minimize storage costs and maximize market value. Additionally, estimated ripeness of the fruits can be more useful for indicators for detecting water shortage and to determine the water used during irrigation. The purpose of the study is to develop the new direction of technology to detect the ripeness stage between two classes: ripe and unripe. We employ deep Neural Network (DNN) classifiers for the prediction of ripe and unripe class. The results of our proposed classifiers give the sensitivity 96.2%, specificity 94.2% with accuracy of results 94.5%, over a dataset of 200 images of each class. The ROC (receiver operating characteristic) area values curve close to 0.98 in all-class during training. We believe this is a notable performance that allows a suitable non-intrusive maturing prediction that will enhance cultivation techniques. 01 30 2020 2352 2356 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.C8762.019320 https://www.ijitee.org/portfolio-item/C8762019320/ AP/ECE, Sri Krishna College of Engineering and Technology, Coimbatore, Tamilnadu, India. Dinesh Kumar J.R* Dr. C. Ganeshbabu Professor/ECE, Bannari Amman Institute of Technology,Sathyamangalam, Tamil nadu, India. Soundari D.V AP/ECE, Sri Krishna College of Engineering and Technology, Coimbatore, Tamilnadu, India. Priyadharsini K AP/ECE, Sri Krishna College of Engineering and Technology, Coimbatore, Tamilnadu, India. Karthi S P AP/ECE, Sri Krishna College of Engineering and Technology, Coimbatore, Tamil nadu, India. In the upswing of contemporary science we can monitor and regulate the saline flow rate. Scrupulous flow has to be retained so that risks of fore shortening the threshold level of patient’s heart rate, blood pressure and oxygen level in blood level. Intravenous infusion used intermittently in hospital has to be checked for is purity. For the change in threshold level of patient’s body condition, saline flow has to be adjusted. The assessments obtained from the patients is proceed to the centralizer controller which is connected to the cloud is updated periodically to avoid loss of reports. The updated data sets shared to the chemist and CPU so that flow rate of saline is controlled automatically in accordance to the data received. The machine learning based algorithm (SVM) is used to predict the more accurate changes on data which is obtained from patients so that the controller can act agilie. This work gives better results based on the accuracy level calculation and efficiency improvement in terms of more fast response. 01 30 2020 2649 2655 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.C8766.019320 https://www.ijitee.org/portfolio-item/C8766019320/ Assistant Professor, Department of CSE, VNR Vignana Jyothi Institute of Engineering and Technology, Hyderabad, India. Mr. Venkateswara Rao P* Dr. A. P. Sivakumar Assistant Professor, Department of CSE, JNTU Anantapur, Andhra Pradesh, India. Community question answering CQA) systems are rapidly gaining attention in the society. Several researchers have actively engaged in improving the theories associated with question answering (QA) systems. This paper reviews the literature reported works on question answering QA systems. In this paper, we discuss on the early contributions on QA systems along with their present and future scope. We have categorized the literature reported works into 20 subgroups according to their significance and relevance. The works in each group will be brought out along with their inter-relevance. Finding the question and answer quality is the prime challenge almost addressed by many researchers. Modeling similar questions, identifying experts in prior and understanding seeker satisfaction also considered as potential challenges. Researchers at the most have done experimentations on popular CQAs like Yahoo! Answers, Wiki Answers, Baidu Knows, Brianly, Quora, Pubmed and Stack Overflow respectively. Machine learning, probabilistic modeling, deep learning and hybrid approach of solving show profound significance in addressing various challenges encounter with QA systems. Today the paradigm of CQA systems took the shift by serving as Open Educational Resources to learning community. 01 30 2020 1904 1907 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.C8769.019320 https://www.ijitee.org/portfolio-item/C8769019320/ Research Scholar, Department of Computer Science Engineering, PRIST University, Thanjavur, Tamil Nadu, India G. Senthil Kumaran S. Jaisankar* Professor, Department of Mechanical Engineering, Star Lion College of Engineering & Technology, Thanjavur, Tamil Nadu, India. By implementing the computational techniques, the solar water performance was analysed. Employing the orthogonal design, experiments were accompanied with the input variables L/D ratio, condition of twist and time. Using the recorded measurements nusselt number and efficiency were calculated and further it was optimized in a combined objectively manner. The optimal input variables to accomplish the higher performance of solar water heater is identified. Also, the dominance of input variables was identified with the statistical analysis for the combined objective. 01 30 2020 1201 1204 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.C8772.019320 https://www.ijitee.org/portfolio-item/C8772019320/ Department of Computer Science and Engineering, Birla Institute of Technology, Mesra, Ranchi 835215, India. Sandip Kumar Singh Modak* Vijay Kumar Jha Department of Computer Science and Engineering, Birla Institute of Technology, Mesra, Ranchi 835215, India. This work shows a multibiometric framework to upgrade the recognition rate and reduce the error rate using Bin based classifier based on score level (multi-algorithm) fusion. In this work Bin based classifier is used as the combination rule which integrate the matching scores from two distinct modalities namely iris and face. An optimization technique, PSO is utilized to minimize the unwanted information after combination of the feature sets of the iris and face using different feature extraction algorithms like PCA, LDA and LBP. The test results demonstrate that the multibiometric system as a Bin based classifier employing multi-algorithm score level fusion provides better outcomes than the other fusion rule like Likelihood Ratio based fusion, Linear Discriminant Analysis (LDA) and support vector machine (SVM). The experimental result on Face (ORL, BANCA,FERET) and iris (CASIA, UBIRIS) shows that the proposed multimodal system derived from CBBC (continuous bin based classifier) with PSO as an optimization technique achieve EER=0.012 , which outperform than the other fusion technique with EER=0.018 for SVM (RBF) and EER=0.02 for SVM linear. 01 30 2020 2156 2166 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.C8773.019320 https://www.ijitee.org/portfolio-item/C8773019320/ Pursuing, Ph.D. Department of Electrical and Electronics Engineering, National Institute of Technology, Mizoram, India. Upama Das* Pabitra Kumar Biswas HOD and Assistant Professor, Electrical Engineering, National Institute of Technology, Mizoram, India. The paper addresses the improvement of performance and quality of engines such as BLDC. Better performance, lower maintenance, higher cost, quiet activity, and compact design define a DC motor brushless drive. PI operator, PID controller, fuzzy logic, genetic algorithms, neural networks, PWM power, and less sensor command, there are several methods for regulating the speed of the motor. The GA-based PI and GA-based PID controllers are used for the speed control of BLDC motor. These motors are used in applications such as automobiles, aviation, health, instrumentation, machine tools, robots, and actuation, because of their desirable electrical and mechanical properties. The main gain of the recommended technique is that there is no need for an accurate model of the controlled structure, so it is useful in many industrial processes that do not have an apparent or sophisticated design. Therefore, this method allows determining the best PID values for a given overrun, a rising period, a settling time, and steady-state failure. The algorithm works on three essential selection, crossover, and mutation genetic operators. GA has many variations, such as Real coded GA, Binary coded GA, depending on the forms of these operators. Such variables have a significant influence on the control system's reliability and efficiency. This paper focuses on binary-coded GA & considers crossover quality, PID controller mutation, and computational analysis were conducted. The transition mechanism was studied with MATLAB in the process. With the GA-based PI and PID operator, the BLDC motor is modeled, and the simulation tests are collected. The results obtained through the application of the GA-based algorithm are efficient and satisfy the control characteristics defined. 01 30 2020 2167 2172 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.C8780.019320 https://www.ijitee.org/portfolio-item/C8780019320/ Mechanical Engineering Department, University of Zakho , Zakho, Iraq. Diyar Yousif Ali* Braced frames, besides other structural systems, such as shear walls or moment resisting frames, have been a valuable and effective technique to increase structures performance against seismic loads. In wind or seismic excitations, diagonal members react as truss web elements which would afford tension or compression stresses. This study purposes at considering the effect of bracing diagonals on values of base shear and displacement of building. Two models were created and nonlinear pushover analysis has been implemented. Results show that bracing members enhance the lateral load performance of RC frames considerably. The purpose of this article is to study the nonlinear response of reinforced concrete Structures which contain Hollow Pipe Steel braces as the major structural elements versus earthquake loads. A five-storey reinforced concrete structure was selected in this study; two different reinforced concrete frames were considered. The first system was un-braced frame while the last one was braced frame with diagonal bracing. Analytical modelings of the bare frame and braced frame were realized by means of SAP 2000. The performances of all structures were evaluated using the nonlinear static analyses. From these analyses, the base shear and displacements were compared. Results are plotted in diagrams and discussed extensively and the results of the analyses showed that, the braced frame was seemed to capable of more lateral load carrying, had the high value for stiffness and lower roof displacement in comparison with bare frame. 01 30 2020 2179 2182 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.C8789.019320 https://www.ijitee.org/portfolio-item/C8789019320/ Project Engineer, Power System installations, Indian Railway Electrification Project. Snehansu Panda* Santosh Sonar Assistant Professor, Department of Electrical and Instrumentation Engineering, Thapar Institute of Engineering and Technology, Patiala, Punjab, India. Multilevel voltage source inverter has drawn tremendous importance in the area of high power applications. This paper presents a three-phase modified hybrid cascaded multilevel inverter incorporating a standard three-leg inverter with H-bridge cells in series with each leg. The switching scheme with the multicarrier level shifted sinusoidal PWM is implemented to produce the five-level voltage at the output. Simulations have been performed using MATLAB to study voltage levels, modulation scheme, and THD. Finally, the possibilities of future works are addressed. 01 30 2020 2183 2187 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.C8790.019320 https://www.ijitee.org/portfolio-item/C8790019320/ Mechanical Department, National Institute of Technical Teachers training (NITTTR) Sector 26, Chandigarh, India. Nishant Kumar* P Sudhakar Rao Mechanical Department, National Institute of Technical Teachers training (NITTTR) Sector 26, Chandigarh, India. Experimental work is totally focused on the inclusive work material Incoloy 800 because of its low cost and effective thermal properties The aim of this proposed work is to find out the optimum condition using RSM technique under the influence of effective parameters which includes MRR, TWR, Surface Roughness so that process parameters such as pulse on time, current, voltage can be optimized while working with Incoloy 800 as a work material. Incoloy 800 has inevitable properties in heat application and machining because of its nickel, chromium and iron content. It also comes under the category of super alloy having various important application in aerospace industries. Chromium present in the alloy helps in heat resistance. Internal oxidation during machining is resisted by iron present in the alloy. The nickel content present in Incoloy 800 maintains ductile and austenitic structure. Therefore, alloy 800 can be machined easily as per desired shape. Because of its moderate strength, low cost and good resistance to oxidation and carburization at elevated temperatures, alloy 800 and its grades are center of attraction for alloy manufacturing companies. 01 30 2020 1291 1296 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.C8791.019320 https://www.ijitee.org/portfolio-item/C8791019320/ Associate Professor, Dept. Of E&TC, D.Y.Patil Institute of Technology, Pimpri, Pune, India. Mithra Venkatesan* Anju.V. Kulkarni Professor, Dept. Of E&TC, D. Y. Patil Institute of Technology, Pimpri, Pune, India Radhika Menon Professor, Dept. Of Mathematics, D. Y. Patil Institute of Technology, Pimpri, Pune, India V. Ramakrishnan Dept. Of E&TC, Software Architect, Siemens PLM , Pune, India Healthcare industry is fast growing and expanding in rapid pace. The volume and veracity of data generated in the industry is massive and requires huge storages and handling capability. Big data is empowered with such robust abilities and hence most suitable for handing large amount of data. Further, hese data could be utilized towards building predictive and forecasting models. Breast cancer is a deadly form of cancer majorly affecting women around the globe. The concept of big data and predictive analytics is being explored in the paper towards early diagnosis of breast cancer. This paper surveys various literatures available on application of big data analysis for breast cancer. Subsequently a comprehensive framework is being proposed based on the gaps identified. Different machine learning algorithms which can be applied in the framework is also detailed in the paper. Such frameworks when implemented will greatly help in handling the massive data available and aid in early detection of breast cancer. 01 30 2020 2188 2192 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.C8793.019320 https://www.ijitee.org/portfolio-item/C8793019320/ Research Scholar, Department of Computer Science & Engineering, Annamalai University, TN, India. G. Renukadevi* Dr. K. Selvakumar Department of Information Technology, Annamalai University, TN, India. S. Tamilarasan Department of Computer Science, Bharathiar University, TN, India. Dr. S. Venkatakrishnan Department of Computer Science, Annamalai University, TN, India. The process of distinguishing different types of data in the SQL server is the challenging task for further processing of big data. The big data is available in the Webpages, social media networks and cloud based web servers. In this implementation, the data can be retrieved from the cloud based web services. The data is temporarily posted in the REST API, and the data stored permanently in the SQL Server. The stored data is processed using the Classification Tree Model. Based on this method, the separation of types of payload is possible. With the help of this implementation, the types of the documents are automatically categorized using the trained data. Previously the training set has to be prepared for distinguishing different payloads and documents. 01 30 2020 2357 2359 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.C8794.019320 https://www.ijitee.org/portfolio-item/C8794019320/ Assistant Professor, Department of Computer Science, S. T. Hindu College, Nagercoil, Affiliated to Manonmaniam Sundaranar University, Tirunelveli, Tamil Nadu, India. Dr. K. Pazhanikumar* R. Raja Aswathi Department of Computer Science, S. T. Hindu College, Nagercoil, Affiliated to Manonmaniam Sundaranar University, Tirunelveli, Tamil Nadu India. Data mining usually specifies the discovery of specific pattern or analysis of data from a large dataset. Classification is one of an efficient data mining technique, in which class the data are classified are already predefined using the existing datasets. The classification of medical records in terms of its symptoms using computerized method and storing the predicted information in the digital format is of great importance in the diagnosis of various diseases in the medical field. In this paper, finding the algorithm with highest accuracy range is concentrated so that a cost-effective algorithm can be found. Here the data mining classification algorithms are compared with their accuracy of finding exact data according to the diagnosis report and their execution rate to identify how fast the records are classified. The classification technique based algorithms used in this study are the Naive Bayes Classifier, the C4.5 tree classifier and the K-Nearest Neighbor (KNN) to predict which algorithm is the best suited for classifying any kind of medical dataset. Here the datasets such as Breast Cancer, Iris and Hypothyroid are used to predict which of the three algorithms is suitable for classifying the datasets with highest accuracy of finding the records of patients with the particular health problems. The experimental results represented in the form of table and graph shows the performance and the importance of Naïve Bayes, C4.5 and K-Nearest Neighbor algorithms. From the performance outcome of the three algorithms the C4.5 algorithm is a lot better than the Naïve Bayes and the K-Nearest Neighbor algorithm. 01 30 2020 2193 2197 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.C8795.019320 https://www.ijitee.org/portfolio-item/C8795019320/ Department of Information Technologies and Programming, University ITMO, Saint-Petersburg, Russian Federation. Quan Trong The* This paper introduces technology to improve sound quality, which serves the needs of media and entertainment. Major challenging problem in the speech processing applications like mobile phones, hands-free phones, car communication, teleconference systems, hearing aids, voice coders, automatic speech recognition and forensics etc., is to eliminate the background noise. Speech enhancement algorithms are widely used for these applications in order to remove the noise from degraded speech in the noisy environment. Hence, the conventional noise reduction methods introduce more residual noise and speech distortion. So, it has been found that the noise reduction process is more effective to improve the speech quality but it affects the intelligibility of the clean speech signal. In this paper, we introduce a new model of coherence-based noise reduction method for the complex noise environment in which a target speech coexists with a coherent noise around. From the coherence model, the information of speech presence probability is added to better track noise variation accurately; and during the speech presence and speech absent period, adaptive coherence-based method is adjusted. The performance of suggested method is evaluated in condition of diffuse and real street noise, and it improves the speech signal quality less speech distortion and residual noise. 01 30 2020 2198 2200 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.C8796.019320 https://www.ijitee.org/portfolio-item/C8796019320/ Department of Information Technologies and Programming Faculty, University ITMO, Saint-Petersburg, Russian Federation. Quan Trong The* Speech signal processing application always encounter certain difficulties in real complex environment. The captured signal on microphones often interfered by coherent, incoherent, stationary, non-stationary noise and self acoustic mismatch. To solve this problem, the necessary requirement is speech enhancement to extract target speaker from observed signals in condition minimum speech distortion, while removing background noise. The author proposed a speech enhancement generalized sidelobe canceller based on an estimation of speech presence probability. Main ideal of the algorithm is accuracy estimation of auto and cross power spectral densities of main and reference signal, which used in process of filtering. The experimental result ensures the effectiveness of the proposal algorithm, the background noise is suppressed while the quality of speech is improved in compared with the conventional generalized sidelobe canceller. The proposed algorithm can be evaluated as a frontend for automatic speech application. 01 30 2020 2305 2308 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.C8797.019320 https://www.ijitee.org/portfolio-item/C8797019320/ Department of Information Technologies and Programming Faculty, University ITMO, Saint-Petersburg, Russian Federation. Quan Trong The* The minimum variance distortionless response (MVDR) beamformer often used in speech application for separating sound source and suppressing ambient, coherent, stationary and non-stationary noise in real complex environment. This paper deals problem speech enhancement in diffuse noise field by using a modified MVDR, which incorporates speech presence probability to estimate auto and cross power spectral densities. This combination gives the advantage of saving target speaker while suppressing background noise. A efficiency post-filtering, which is a function depends on speech presence probability, used for increasing the quality of filtered signal. The performance evaluation demonstrates the ability of proposal algorithm when compared to conventional MVDR. 01 30 2020 2309 2311 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.C8798.019320 https://www.ijitee.org/portfolio-item/C8798019320/ Department of Mechanical Engineering, Koneru Lakshmaiah Education Foundation, Vaddeswaram, Vijayawada, India, Venkata Reddy. S* V. Sai Rakesh Department of Mechanical Engineering, Koneru Lakshmaiah Education Foundation, Vaddeswaram, Vijayawada, India. D. Naveen Department of Mechanical Engineering, Koneru Lakshmaiah Education Foundation, Vaddeswaram, Vijayawada, India. M. Varun Department of Mechanical Engineering, Koneru Lakshmaiah Education Foundation, Vaddeswaram, Vijayawada, India. S. Praksh Department of Mechanical Engineering, Koneru Lakshmaiah Education Foundation, Vaddeswaram, Vijayawada, India. The undertaken project work involves design, analysis and manufacture of a COMBINATION TOOL to produce TABLE TOP NAME CARD HOLDER. The main advantage of this combination tool is it can be accommodated with different operations in one single stage. This will reduce the complexity of the design of the tool. As the number of stages increases the design complexity also increases. Therefore usage of this tool will reduces the manufacturing and the design complexity and make the things easy. The combination tool performs both cutting and non-cutting operations. It can be done in the following way- The piercing, notching, lancing & bending operations are performed in the first stage, and then the blank is kept in the inverted position in the second stage where another bending is carried out. The relative positions with the previously pierced holes are maintained during the bending operation, with locating pins. 01 30 2020 1918 1925 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.C8800.019320 https://www.ijitee.org/portfolio-item/C8800019320/ Department of Aerospace Engineering, Faculty of Engineering, Universiti Putra Malaysia, Malaysia. Nuramirah Azid Dalia Abdul Manan Department of Aerospace Engineering, Faculty of Engineering, Universiti Putra Malaysia, Malaysia. Ng Wi Tet Department of Aerospace Engineering, Faculty of Engineering, Universiti Putra Malaysia, Malaysia. Ermira Junita Abdullah* Department of Aerospace Engineering, Faculty of Engineering, Universiti Putra Malaysia, Malaysia. Dayang Laila Abdul Majid Department of Aerospace Engineering, Faculty of Engineering, Universiti Putra Malaysia, Malaysia. This paper presents the design and fabrication work of adaptive wing using hybrid composite based on their structural response to shape memory alloy (SMA) actuation. The objectives of this study include designing a smart morphing wing, validating its structural response through computational and experimental analysis, and studying actuator placement in the adaptive wing. The computational analysis on the structural and aerodynamic performance is done with MSc Patran/Nasran and ANSYS Fluent respectively. The structural response observed is quite similar with computational analysis. From the obtained results, it can be taken that different actuator placement will produce a different profile of camber due to material stiffness and deflection. The actuator placement for the adaptive wing in this study has been found to produce positive camber and improve lift and drag aerodynamic performance. 01 30 2020 2656 2659 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.C8802.019320 https://www.ijitee.org/portfolio-item/C8802019320/ Tashkent university of Information technologies, Tashkent, Uzbekistan. Botir Usmonov* The productiveness of teaching students in universities is important to evaluate for declaring the results of their work. Their learning mainly depends on such factors as attendance, productiveness of learning, the material-technical base of the university and etc. Generally, when one interesting to assess the dependencies of these factors, an inventory of all elements is usually carried out, and management is advised to make a certain decision. But the influence of factors on student learning is not carried out. This paper aims to present an assessment of this student learning ability using system fuzzy logic. In this investigation discussed a procedure that can be used to assess students' performance and learning ability. This process is completely based on the principle of obtaining fuzzy sets about factors affecting learning: class attendance, learning efficiency and infrastructure instruction environment, which are objects of fuzzy arithmetic and allows one to get crisp values of performance results. In the paper is applied the fuzzy set method, which is used for further analysis with additional factors affecting student learning. 01 30 2020 3335 3338 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.C8804.019320 https://www.ijitee.org/portfolio-item/C8804019320/ Assistant Professor, Jawaharlal Darda Institute of Engineering & Technology, Yavatmal, Maharashtra, India. Mahesh S. Gorde* Dr. Atul B. Borade Principal, Government Polytechnic, Gadchiroli, Maharashtra, India. Designing for the oppressed part of the generalized public is one of the fundamental prerequisites for comprehensive design in a developing nation like India. With a spurt being developing inside a nation, the financial distance between those who are well off and the wealthy not are expanding and this divergence is making social agitation in the nation. Tricycles rickshaw is a small-scale ordinary means principally utilized for transportation. Numerous deficiencies were reported in the existing type of tricycle. For optimization of those deficiencies, three different models of cycle rickshaw were utilized, and the input parameter that regulates the consumption of human energy and performance was identified. Regression Analysis (RA) and Artificial Neural Networks (ANN) were utilized for analysis of the experimental data. Both RA and ANN modeling were assessed statistically with the aid of a software tool. RA of the experimental data reveals that input variable load is a most prominent parameter to be focused on tor achieving the objective of expending minimum human energy by a rickshaw puller whereas ANN studies acknowledged the assistance of multiple factors in individual energy. However, load is a most prominent parameter for minimization of individual energy as Outcome. Optimization of input variables using Min-Max principle for various regression models yielded the optimal solution at crank length 167 mm and wheel diameter 675mm for human energy for all linear regression models. 01 30 2020 3236 3243 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.C8809.019320 https://www.ijitee.org/portfolio-item/C8809019320/ Department of Computer Engineering, NMIMS University, Mumbai, India. Supriya Agrawal* Dr. Prachi Natu Department of Computer Engineering, NMIMS University, Mumbai, India. Background subtraction is a key part to detect moving objects from the video in computer vision field. It is used to subtract reference frame to every new frame of video scenes. There are wide varieties of background subtraction techniques available in literature to solve real life applications like crowd analysis, human activity tracking system, traffic analysis and many more. Moreover, there were not enough benchmark datasets available which can solve all the challenges of subtraction techniques for object detection. Thus challenges were found in terms of dynamic background, illumination changes, shadow appearance, occlusion and object speed. In this perspective, we have tried to provide exhaustive literature survey on background subtraction techniques for video surveillance applications to solve these challenges in real situations. Additionally, we have surveyed eight benchmark video datasets here namely Wallflower, BMC, PET, IBM, CAVIAR, CD.Net, SABS and RGB-D along with their available ground truth. This study evaluates the performance of five background subtraction methods using performance parameters such as specificity, sensitivity, FNR, PWC and F-Score in order to identify an accurate and efficient method for detecting moving objects in less computational time. 01 30 2020 2553 2563 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.C8811.019320 https://www.ijitee.org/portfolio-item/C8811019320/ Department of Electrical & Electronics Engineering, UIT-RGPV, Bhopal, India Namami Krishna Sharma* S. C. Choube Department of Electrical & Electronics Engineering, UIT-RGPV, Bhopal, India Due to the increasing demand of electricity in ever-growing electricity market, it is necessary to observe the nature of load and map the effects of load uncertainties on the operation of power system. These uncertainties have also led to voltage instability which is sooner or later considered to be a fundamental cause of blackouts. The distributed generation sources can also be regarded as the source of uncertainties at the load ends of power systems. Along with the load uncertainties, wind turbine generation (WTG) and solar plants have also been used as a source of uncertainties in this paper. The load uncertainties have been incorporated in the system by designing a dynamic load flow program. Corresponding to all uncertain inputs critical case has been identified by the singularity property of load flow jacobian. For the optimal load flow a multi-objective optimization problem aiming to constrained objective function to enhance voltage stability, improve stability index value, reduce system losses and increase reactive reserve margins at generator buses has been formulated. Black hole algorithm has been used to achieve the optimal values of control variables and hence optimal load flow. The aforementioned problem has been tested on standard IEEE-14 bus system. 01 30 2020 2312 2320 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.C8816.019320 https://www.ijitee.org/portfolio-item/C8816019320/ Department of Computer Science, Indus University, Ahmedabad, Gujarat, India. Disha H. Parekh* Nehal Adhvaryu Assistant Professor, Computer Science, Indus University, Ahmedabad Dr. Vishal Dahiya Head of Department, Department of Computer Science Sardar Patel University, Vidyanagar, Gujarat India. Cyberwarfare is observed very frequently as always some or the other country is targeting to ruin its enemy country by hacking confidential data from vital computer systems. This has led to dangerous international conflicts. Hence, to avoid illicit entry of other than military person or a government official several tools are being used today as spyware. Keyloggers are one of the prominent tools which are used in today’s world to obtain secret or confidential data of a legitimate and contradictory a malicious user too. These keyloggers are advantageous and taken up positively for monitoring employee productivity, for law enforcement and the search for evidence of the crime. While it’s negative illegitimate use includes data theft and passwords. The keylogger is today witnessed as a malicious attack and is looked upon as a security threat. But every coin has two sides. Keylogger actually helps in avoiding several security breaches and also aids in detecting several crimes across the net world followed by other fellow countries. This fact has motivated to write this paper and as a consequence, an experimental analysis too was carried out in order to conclude that keyloggers’ log file helps identify the person by analyzing proper pattern of the words entered in the file. This paper focuses majorly on the aspect of natural language processing, where a log file obtained thru keylogger software is thoroughly processed via the algorithm as described in the paper. The results yielded a fair understanding of the results obtained as one can easily identify the words used and on the basis of that can also know the type of person on the other end with his ideas, malicious one or of a legal kind. 01 30 2020 2028 2033 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.C8817.019320 https://www.ijitee.org/portfolio-item/C8817019320/ Ph.D. Student, Dr. Babasaheb Ambedkar Marathwada University, Aurangabad, Maharashtra, India. Puranik Vishal .G* Dr. Dilip D. Shah Jayawant Shikshan Prasarak Mandal , Pune, Maharashtra, India. Most of the research work to test the fast processors is carried out using external devices as testers;but it was not technically & financially workable. To fulfill the required performance along with providing efficient functionality, an appropriate testingism must be employed by the digital circuits. The best way is to follow testing as an integral part that is self-test. Conventionally large amount of data was stored in an external tester.But there was a difficulty in at speed testing performance using these external hardware. Hence, Built-in-self-test was invented which verifies failure free nature of circuit under test (CUT) with a test mechanism as a part of system itself. It is observed that, if testing of any hardware is carried out with the help of built-in self test, it increases the requirement of additional area and indirectly responsible for forfeits due to degradation in performance.. If a powerful and power optimized core is to be designed, hardware BIST cannot be afforded due to these limitations. To overcome these disadvantages, a new software based BIST techniques is introduced which relies on software test patterns. Here this paper focuses on rooting of software test routines which works using optimization of scheduling and also a Q- factor is proposed to evaluate the nature of proposed method. 01 30 2020 2034 2038 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.C8820.019320 https://www.ijitee.org/portfolio-item/C8820019320/ Scholar (PhD, Mechanical) in Mechanical Engineering Department, Suresh Gyan Vihar University, Jaipur, Rajasthan India. Mr. Himanshu Vasnani* Dr. Neeraj Kumar Professor, Department, Mechanical Engineering, Suresh Gyan Vihar University, Jaipur, Rajasthan India. The aim of this paper is to develop a fault diagnosis algorithm by vibrational analysis for an industrial gear hobbing machine. Gear Hobbing is the most dominant and profitable process for manufacturing high quality gears. In order to sustain the market competition gear manufacturers, need to produce high quality gears with minimum possible cost. However, catastrophic failures do occur in gear hobbing process which causes unexpected machine down time and revenue loss. These failures can be avoided by using condition monitoring approaches. In the proposed approach vibration data during different faults such as lubrication error, excessive feed rate, loose bearing error is collected from an industrial gear hobbing machine using three axis MEMS accelerometer. The collected data is analyzed and classified with spectral kurtosis and Dynamic Time Warping algorithm. The efficiency of the proposed approach is 90 percent as determined by experimental results. The proposed approach can provide a low-cost solution for predictive maintenance for gear hobbing industries.. 01 30 2020 2039 2043 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.C8822.019320 https://www.ijitee.org/portfolio-item/C8822019320/ Research Scholar, School of Computing Science, VISTAS (Vels University), Chennai, India. M. Varusai Mohamed* Dr. P. Mayilvahanan Research Supervisor, Department of Computer Application, VISTAS (Vels University), Chennai, India. Many data mining (DM) methods are used to explore the risk factors of Preterm birth (PTB) and to predict preterm birth. High rates of infant mortality, preterm births and maternal mobility and continuous variation in pregnancy outcomes are an important public health issue in India and worldwide. In this paper, aims to develop and evaluate prevent factors of preterm birth using hybrid algorithm which is optimized the model with genetic algorithm and ant bee colony algorithm based also analysis of risk factor of preterm birth prediction. It is identified that variables which were highly influenced to forecast less weight child birth are Mother’s weight (pounds) before pregnant, age of Mother, during first three months the number of physician meet, number of early premature labors. The results of this work have improved prediction accuracy when compared with other optimization techniques. Maximum accuracy of 0.9629 is produced in proposed method. 01 30 2020 3157 3160 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.C8832.019320 https://www.ijitee.org/portfolio-item/C8832019320/ Managing Director of SensFab, LLC Grigoryev Anatoly* Korolev Andrey JSC «Zelenograd nanotechnology center» Lebedev Sergey National Research University of Electronic Technology (MIET) Sinyutin Sergey Director of Institute of Radioengineering Systems and Control of Southern Federal University, Skvortsov Dmitry Mechanical Engineering Research Institute of the Russian Academy of Sciences (IMASH RAN) and Diamech 2000 LLC This article discusses aspects of the implementation of digital signal processing algorithms in devices with multifunctional diagnostics of bearing assemblies in integrated-circuit form. The possibility of applying the effective implementation of spectral analysis algorithms on a defined basis is considered. The structural flow chart of the filter which performs Goertzel transformation and schemes for implementation of the fast Fourier transform unit is shown. To solve these problems in Matlab environment were developed mathematical models of Goertzel filter of fast Fourier transform unit was simulated operation of these units for specifying of parameters and evaluation of achieved characteristics. After the evaluation of simulation results, 2 types of spectral analysis units were developed: Goertzel transformation units for accurate calculations and fast Fourier transform units for analysis during the whole operating band. The created units of spectral analysis make it possible to efficiently solve the problems of bearing diagnostics, obtain information on the video spectrum of the vibration signal in the full frequency band and at the same time to determine the exact value or vibration levels at the characteristic frequencies. 01 30 2020 2044 2050 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.C8834.019320 https://www.ijitee.org/portfolio-item/C8834019320/ Assistant Professor, ECE Department, PSNA College of Engineering and Technology, Dindigul, India. A. Prasanth* Divya Francis Assistant Professor, ECE Department, PSNA College of Engineering and Technology, Dindigul, India. C. Kohila Assistant Professor, ECE Department, PSNA College of Engineering and Technology, Dindigul, India. D. Gayathri Assistant Professor, ECE Department, PSNA College of Engineering and Technology, Dindigul, India. Wireless Sensor Network (WSN) is a rapidly growing area for IoT based research and applications. The main concern of research in WSN is to organize the node with different abilities including sensing range, communication range in the wireless network and route the detected data from the nodes to a central sink with dynamism. Clustering or Sector Formation is a key network employed to lengthen the lifespan of WSN by reducing energy utilization. LEACH is a sector algorithm in which the sector heads are arbitrarily chosen from the nodes and utilized to identify the solution with a better location to yield the energy loss sector heads. However, the non-optimal selection of sector head in LEACH cause the lesser lifespan of WSN. To overcome these issues, the Modified Quadrature-LEACH (MQ-LEACH) scheme is proposed in this paper which efficiently formed the sectors by selecting the optimal sector heads in the network. The simulation will be conducted in the NS2 environment where the essential parameters are evaluated for both proposed and existing methods. Further, the proposed scheme improves the network lifespan and stability period compared to existing schemes. 01 30 2020 2321 2326 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.C8838.019320 https://www.ijitee.org/portfolio-item/C8838019320/ Research Scholar, JNTUA, Regd.No: 13PH0521, Assistant Professor in CSE Department at VidyaJyothi Institute of Technology (Autonomous), Hyderabad, Telangana, India. K.S.R.K. Sarma* M. Ussenaiah Assistant Professor, Dept. of Computer Science, VikramSimhapuri University, Nellore, Andhra Pradesh, India. This paper derives a new frame work for the classification of natural textures based on gradient rank vectors derived on a 2 X 2 grid. This paper identified the ambiguity in deriving ranks when two or more positions of the grid possess the same value. To attend this ambiguity and without increasing the total number of rank vectors on d positions this paper derived a rule based rank vector frame work. This paper replaced the 2 X 2 grid with the column position of the Rule based Rank Word Matrix (RRWM). The range of column positions will be d! for d positions. This paper then divides RRW texture image, into a 3 X 3 grid and derives cross and diagonal rule based rank words. From this, the present paper derived Rule based Rank Word-Cross and Diagonal Texture Matrix (RRW-CDTM) and derives GLCM features for effective texture classification. The experimental results on various texture databases revels the classification accuracy of the proposed method. The proposed method is compared with the state of art local based approaches. 01 30 2020 2660 2666 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.C8839.019320 https://www.ijitee.org/portfolio-item/C8839019320/ Department of Electronics and Communication Engineering, CMR Institute of Technology, Bengaluru, India. Vinay B K* Sunil Kumar K H Department of Electronics and Communication Engineering, CMR Institute of Technology, Bengaluru, India. Malini M D Department of Electronics and Communication Engineering, CMR Institute of Technology, Bengaluru, India. In this paper, a Smart Transport System using Automatic Number Plate Recognition (ANPR) of a vehicle is proposed. License plate number of a vehicle is recognized to check the details of the vehicle like the make, type of the vehicle, checking for traffic rule violations and to collect the toll in hospitals, highways, tech parks, paid parking slots of shopping malls, and supermarkets in real time. This paper proposes a system implementation consisting of modules to capture the video of the vehicle, segmentation of video into frames, optical character recognition (OCR) to recognize the characters present on the number plate using Canny edge detection. After capturing the image, it is processed and the extracted characters are compared with the results in the database. A sample RTO database with all the required information about the vehicle would be created for the purpose of comparison. The obtained result after the validation of the vehicle number plate with different parameters has to be displayed from the master PC onto the monitor which lets the defaulter know of his/her violations. This is done using IOT. Once the violations have been displayed, the corresponding amount would then be deducted from the defaulter’s bank account. 01 30 2020 2051 2056 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.C8840.019320 https://www.ijitee.org/portfolio-item/C8840019320/ Assistant Professor, KKR & KSR Institute of Technology and Sciences, Vinjanampadu, Guntur, India. N. Soniya* Kusuma Nutalapati KKR & KSR Institute of Technology and Sciences, Vinjanampadu, Guntur, India. J. Gopi Krishna KKR & KSR Institute of Technology and Sciences, Vinjanampadu, Guntur, India. A. Venkata Phanindhar KKR & KSR Institute of Technology and Sciences, Vinjanampadu, Guntur, India. A. Naga Sai Kiran KKR & KSR Institute of Technology and Sciences, Vinjanampadu, Guntur, India. G. Devaram Sai Charan KKR & KSR Institute of Technology and Sciences, Vinjanampadu, Guntur, India. In distant cardiac care observing purposes, Electrocardiogram (ECG) waves are infected by artifacts while gaining data and broadcast of signals. The elimination of the noise is a predominant mission for accurate analysis. In this paper, an effort has been made to eliminate the artifacts, mainly baseline wander (BW), muscle artifacts (MA), power line interface (PLI), and Electrode motion (EM) using a Normalized Least mean square error (NLMS) algorithm. Later on to recover the filtering capacity and speed up the convergence process, data normalization is used. The above algorithm is normalized with reference to maximum data normalization which results in lessened computational difficulty in the denominator. Based on the above algorithms, a variety of adaptive signal enhancers (ASE’s) are improved. To decrease the computational difficulty of the signal enhancer, the designed ASE’s are united with sign-based algorithms. The designed ASE’s are analyzed on original ECG signals gained from the MIT-BIH database to evaluate the performance. The reproduction outcomes gained demonstrates that the block based algorithms are finer than NLMS in terms of the signal to noise ratio (SNR), excess mean square error and computational difficulty. Among the NLMS alternatives, the VSS-CLNLMS (Variable Stepsize Circular Leaky Normalized Least Mean Square error) based ASE’s have fine filtering capacity with a lessened number of computations. The development of the SNR obtained in the progression with the use of VSS-CLNLMS-based ASE’s are calculated as 13.2945 dBs, 12.4589 dBs, 15.6179 dBs and 14.0881 dBs respectively for BW, MA, PLI and EM artifacts. 01 30 2020 3092 3097 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.C8842.019320 https://www.ijitee.org/portfolio-item/C8842019320/ KKR & KSR Institute of Technology and Sciences, Vinjanampadu, Guntur, India. N. Soniya* Dr. C. Arunabala Professor, Department of ECE, KKR & KSR Institute of Technology and Sciences (KITS), Guntur. India. Vadlamudi Vinaykumar Department of ECE, KKR & KSR Institute of Technology and Sciences (KITS), Guntur. India. Rayanuthala Praveen Kumar Department of ECE, KKR & KSR Institute of Technology and Sciences (KITS), Guntur. India. Suraparaju Sai Pavan Kumar Department of ECE, KKR & KSR Institute of Technology and Sciences (KITS), Guntur. India. Vare Rudra Reddy Department of ECE, KKR & KSR Institute of Technology and Sciences (KITS), Guntur. India. The impedance Cardiography (ICG) assists the impedance occurred in the heart. The ICG also known as Thoracic Electro Bio-Impedance (TEB).This projects various flexible and mathematical reduced adaptive methods to visualize the extreme clear TEB modules. In the medical premises, TEB wave notifies the several physiological and non-physiological incidents, that covers small characteristics which are predominant for finding the volume of the stroke. In addition, mathematical difficulty is a significant constraint to novel healthcare observing tool. Therefore, the paper project novel wave working methods for TEB improvement in isolated arrangements. So that we selected higher preference adaptive eliminator as a fundamental constituent in the procedure. To recover the original signal, convergence rate, to minimize mathematical difficulty of the wave working method, we relate the data normalization to extract the ideal wave. The projected realizations are simulated with practical TEB waves. At last, outcomes proves projected extracted normalized higher order filter is appropriate to realistic medical arrangement. 01 30 2020 3161 3167 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.C8843.019320 https://www.ijitee.org/portfolio-item/C8843019320/ Assistant Professor, KKR&KSR Institute of Technology and Sciences, Vinjanampadu, Guntur, India. Venkata Yashwanth Goduguluri* Guntupalli Sai Divya Madhuri KKR&KSR Institute of Technology and Sciences, Vinjanampadu, Guntur, India. Balusupati Bhanu Pranavi KKR&KSR Institute of Technology and Sciences, Vinjanampadu, Guntur, India. Bhimineni Kalyani KKR&KSR Institute of Technology and Sciences, Vinjanampadu, Guntur, India. Annam Sai Anusha KKR&KSR Institute of Technology and Sciences, Vinjanampadu, Guntur, India. In this manuscript, new circuits for XOR/XNOR and concurrent XOR-XNOR purposes are designed. The designed trails are elevated lessened in expressions of the power usage and delay, which are appropriate to low harvest capacitance and low short-circuit power wastage. The designed new hybrid 1-bit full-adder (FA) trails related on the new full sway XOR-XNOR gates. Every designed circuit give their prospective advantages in period of speed, power usage, power delay product (PDP), and dynamic facility and so on. To know the performance of the intended designs, wide-ranging Mentor graphics simulations are carried out. The replications outcomes, supported on the 130-nm CMOS knowledge signify the intended intends have higher rapidity and power over supplementary FA devises. An innovative transistor sizing mode is accessed to reduce the PDP of the tracks. In the designed process, the algebraic working out particle swarm optimization module is utilized to obtain the preferred assessment for finest PDP with less iteration. The designed tracks are checked in times of dissimilarities of the supply, threshold voltages, input noise immunity and size of transistors. 01 30 2020 2327 2332 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.C8844.019320 https://www.ijitee.org/portfolio-item/C8844019320/ National Research Nuclear University MEPhI (MEPhI), Moscow, Russian Federation. Dmitri Kirko* Near-cathode plasma of the discharge in electrolyte and its interaction with electrodes was researched in the work. Electrical parameters of the discharge for two electrolyte compositions were investigated. Temperature and concentration of the near-cathode plasma of this discharge were measured using spectral methods. Appearance of sphere-like formations and pores surface is observed on the surface of the titanium electrodes. Possible explanation of the formation of these superface structures is proposed. The effect of the discharge in the electrolyte on the electrode surface was studied in this work. We consider properties of electrical current near the titanium electrode due to the presence a pores structure on this electrode. We can suppose that the current near the surface of cathode consists from a number of separate current channels with the 0.1-2 μm thick at a current in the region 10-8-10-6 А in the separate channel. 01 30 2020 3399 3403 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.C8852.019320 https://www.ijitee.org/portfolio-item/C8852019320/ Research Scholar, Dept. of CIS, Annamalai University, Chidambaram, Tamil Nadu, India. N. Sivaraman* S. Mohan Assistant Professor, Dept. of CSE, Annamalai University, Chidambaram, Tamil Nadu, India. M. Selvakumar Assistant Professor, Dept. of ECE, Annamalai University, Chidambaram, Tamil Nadu, India. Wireless Sensor Network (WSN) is a set of self-regulating sensors which are minute devices and it has limited battery power and a reduced amount of computing ability. The nodes of the sensors dispensed arbitrarily or physically in the sensing region to log the environmental constraints of a region meant to notify a specific destination called BS (BS). The organization of WSN into a set of clustering enabling effective exploitation of restricted energy resources of the placed nodes. But, the issue of uneven energy utilization exists and is related to the localization of a specific node in WSN. When the network undergo organization into different clusters where few significant nodes plays a vital role of cluster head (CH) for network management. In some cases, the clusters are organized in an unequal form called Unequal Clustering Size (UCS) to organize the nodes, results in consistent energy utilization and maximized lifetime of WSN. Besides, it is evident that it offers consistent energy utilization in a homogeneous way. 01 30 2020 2333 2336 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.C8853.019320 https://www.ijitee.org/portfolio-item/C8853019320/ Research Scholar, Department of Civil Engineering, Dr.Babasaheb Ambedkar Technological University, Lonere, India. Sanjivan Mahadik* S. R. Bhagat Associate Professor, Department of Civil Engineering, Dr. Babasaheb Ambedkar Technological University Lonere, India. An earthquake resisting elements are the components that are introduced in a structure to improve its seismic resistance and method of application of these elements are said as techniques. Though structures are designed and detailed as per code provision there remains some possibility of damage or failure in strong earthquake. Performance of buildings may be improved using earthquake resistant elements and techniques. An earthquake produces seismic waves on earth surface of earth due to releases of large energy from lithosphere which produces waves in earth surface causing disturbance in structures resulting failure of seismically weak structures. Seismic waves then travels in horizontal and vertical direction. It causes horizontal and vertical ground movement or vibration. These seismic waves cause disturbances in in buildings. The disturbance caused depends on position of building with respect to the center of disturbance called as epicenter. Intensity of these seismic waves is maximum at center and goes on reducing away from epicenter. Generally horizontal waves are of stronger than vertical so buildings are designed to horizontal seismic forces. These valves travel in any direction but from design purpose it is resolved in two orthogonal directions. Few constructional precautions may help to avoid or minimize damage in buildings. Earthquake resistance of building may be improved with proper design and construction of structures. Some earthquake resisting elements like shear wall, moment resisting frame or innovative techniques like base isolation, or energy dissipation system are used in many high rise buildings to avoid or minimize damage and hence loss of lives and properties. Shear walls are RC member generally introduced in a structure during construction in symmetrical manner. Base isolators in the form bearings are placed between sub and super structure to reduce stiffness of structures. Structures are braced with seismic dampers in energy dissipation system. Composites are used by mixing in concrete or as a warp. All these techniques are reviewed herewith with special attention on shear walls. 01 30 2020 2928 2932 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.C8854.019320 https://www.ijitee.org/portfolio-item/C8854019320/ Scholar, Department of ECE, Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology, Chennai, India. Shaher Dwik* Mohammad Amaya Department of Electronic Engineering, Faculty of Electrical & Electronic Engineering, University of Aleppo, Syria. Natarajan Somasundaram Department of ECE, Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology, Chennai, India. This project presents the design and implementation of an 8-bit microcontroller based RGB LED matrix display (4 rows × 8 columns). A driving algorithm for RGB LED matrix was also implemented to show colorful shapes, patterns and pictures. It is similar to the common LED matrix display but with the ability to show various colors. RGB LED is an element that emits the three primary colors (Red, Green and Blue) separately. Thus, we can obtain any color we want by mixing these primary colors together in particular ratios. Using such kind of LED allows to use a new technique in designing that the pixel in common colorful matrix display consists of three separate LEDs (Red, Green and Blue) but now by using RGB LED we reduce the number of LEDs which make the resolution much better and also make the design of matrix less complicated. The work is divided into two main parts; first part is to design a circuit to control a single RGB LED manually using 555 IC, second part which is the main part is to design an array of RGB LEDs with a control circuit using a microcontroller. Proposed design has many advantages like; simple and low cost. Besides, Duty cycle used in the driving algorithm is less than 10% and that reduces the power consumption which is considered as an extra advantage of the project. 01 30 2020 2337 2343 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.C8855.019320 https://www.ijitee.org/portfolio-item/C8855019320/ Research Scholar, Suresh Gyan Vihar University, Jaipur (Raj) India. Vikash Kumar* Neeraj Kumar Professor, Suresh Gyan Vihar University, Jaipur (Raj) India. The industrial product like nozzle consist of magnetic nano-particles for the Ferro fluid black plays an important role under the domain of mechanical engineering applications. In this research work, Non-Destructive Testing (NDT) technique based on deposition of a Ferro fluid Black 140CM, Grey 249 and 147-A/2 is used for the defect testing of the boiler nozzle’s surface. Magnetic Particle Testing (MPT )is one of the widely used method for Ferromagnetic material because it is fast and relatively easy to apply as compared to other NDT method. The only requirement from an inspect ability stand point is that the component being inspected must be made from ferromagnetic material (iron, nickel, cobalt or some of their alloy). This method uses magnetic field and small magnetic particles to detect flow in component & obtained defects (linear or rounded indication) of the welded part must be machined with diamond cutter grinding machine till the defects removed. 01 30 2020 2270 2276 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.C8856.019320 https://www.ijitee.org/portfolio-item/C8856019320/ Department of Computer Science and Engineering, Ramaiah Institute of Technology, affiliated to Visvesvaraya Technological University, Bangalore, India Meghana R* Annapurna P Patil Professor, Department of Computer Science and Engineering, Ramaiah Institute of Technology, affiliated to Visvesvaraya Technological University, Bangalore, India. Wireless sensor networks (WSN) are gaining attention in numerous fields with the advent of embedded systems and IoT. Wireless sensors are deployed in environmental conditions where human intervention is less or eliminated. Since these are not human monitored, powering and maintaining the energy of the node is a challenging issue. The main research hotspot in WSN is energy consumption. As energy drains faster, the network lifetime also decreases. Self-Organizing Networks (SON) are just the solution for the above-discussed problem. Self-organizing networks can automatically configure themselves, find an optimal solution, diagnose and self-heal to some extent. In this work, “Implementation of Enhanced AODV based Self-Organized Tree for Energy Balanced Routing in Wireless Sensor Networks” is introduced which uses self-organization to balance energy and thus reduce energy consumption. This protocol uses combination of number of neighboring nodes and residual energy as the criteria for efficient cluster head election to form a tree-based cluster structure. Threshold for residual energy and distance are defined to decide the path of the data transmission which is energy efficient. The improvement made in choosing robust parameters for cluster head election and efficient data transmission results in lesser energy consumption. The implementation of the proposed protocol is carried out in NS2 environment. The experiment is conducted by varying the node density as 20, 40 and 60 nodes and with two pause times 5ms, 10ms. The analysis of the result indicates that the new system consumes 17.6% less energy than the existing system. The routing load, network lifetime metrics show better values than the existing system. 01 30 2020 1926 1933 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.C8857.019320 https://www.ijitee.org/portfolio-item/C8857019320/ Professor, Department of Information Technology, PVP Siddhartha Institute of Technology, Vijayawada, India. B V Subba Rao* J Sirisha Assistant Professor, Department of Information Technology, PVPSIT, Kanuru, Vijayawada, India. S.Sai Kumar Assistant Professor, Department of Information Technology, PVPSIT, Kanuru, Vijayawada, India. Recent days IoT is emerging as a latest innovative technology. For varies societal applications. In our proposed method we are going to come up with an innovation to identify the drainage overflow in advance. We will consider the drainage manholes as nodes, and all these nodes are connected to the main server (or) root node with a suitable network topology. We will keep the water level sensors at respected nodes. These sensors are embedded with a tiny microcontroller with some DC voltage. All these nodes with microcontrollers are connected to the main server. All these sensors are set up with a uniform water level measure. Whenever there is a slight abnormality (lower/higher) in water levels, then this nodes with microcontroller sends a message to the main server and the identity of this nodes is recorded in the server along with its water level in the mobile app/dashboard. With the help of this mobile app we can do the remedial action immediately so that we can avoid overflow in advance. 01 30 2020 2667 2669 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.C8861.019320 https://www.ijitee.org/portfolio-item/C8861019320/ Department of Mathematics, Annamalai University, Annamalai nagar, Tamilnadu, India. M. Seenivasan* V. J. Chakravarthy P. G. Department of Computer Science, The New College, Chennai, Tamilnadu, India. P. Hakkim Devan Mydeen P. G. Department of Computer Science, The New College, Chennai, Tamilnadu, India. The advancement of mathematical model has utilized for simulating the output of medical is a development area over medicine whereas the modeling can be mentioned with several activities namely simulation or decision analysis and predictive modeling. However, the traditional modeling technique utilized in planning of health service, assessment reports and its efficiency, financing about health care and assessment in budget impact, assessment in health economics, surveillance of infectious disease and other health care application. Therefore, the mathematical modelling is performed as a frequent and timely benefit in order to make rapid decision making while facing investigation with several issues like time elapsing, unusual and unethical particularly projected for future. This paper focused in applying the mathematical modeling to accomplish an optimal decision making in healthcare whereas this study discuss about the specific modeling concepts namely decision tree and fuzzified rule tables on evaluation of health economics and better service planning that my replicate the individual experience or patients cohorts. 01 30 2020 3339 3342 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.C8862.019320 https://www.ijitee.org/portfolio-item/C8862019320/ Department of CSE, Gitam University, Visakhapatnam, India Anjali Kedawat* Dr. A. Senthil Department of CSE, Mody University, Laxmangarh, India. Clinical parsing is useful in medical domain .Clinical narratives are difficult to understand as it is in unstructured format .Medical Natural language processing systems are used to make these clinical narratives in readable format. Clinical Parser is the combination of natural language processing and medical lexicon .For making clinical narrative understandable parsing technique is used .In this paper we are discussing about constituency parser for clinical narratives, which is based on phrase structured grammar. This parser convert unstructured clinical narratives into structured report. This paper focus on clinical sentences which is in unstructured format after parsing convert into structured format. For each sentence recall ,precision and bracketing f- measure are calculated . 01 30 2020 2277 2279 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.C8865.019320 https://www.ijitee.org/portfolio-item/C8865019320/