-74813b3e17f460286df28f8 20220713043221156 beie:beie director@blueeyesintelligence.org WEB-FORM International Journal of Innovative Technology and Exploring Engineering ijitee 22783075 10.35940/ijitee https://www.ijitee.org/ 11 30 2019 9 1 Research Scholar, Department of Computer Science, JNTU Hyderabad, India. T.Naga Raja* Dr V.V.Venkata Ramana Scientist-F, National Informatics Centre, Amaravati, India. Dr. A. Damodaram Professor, SIT JNTUH, Hyderabad, India. The immense growth in the video content retrieval and video content analysis have motivated the practitioners to migrate the video contents and the analytic applications on to the cloud. The cloud computing platform provides scalability for applications and data, which enables the application owners to deal with complex algorithms, which is needed for video content analysis and retrievals. The primary concern of the video data retrieval on cloud services are the weak security for the standard data during migrating from one VM to another VM. Also, the standard encryption algorithms have failed to demonstrate higher performance during encryption of a large file. Hence, the demand of the recent research is to ensure reduced performance implications for video content encryption over cloud services. This work proposes an adaptive encryption and decryption algorithm for large video data over cloud as Encryption as A Service (EAAS). This work proposes a novel key age calculation dependent on Quartic Polynomial Randomization. The quartic part utilized in the proposed calculation can produce numerous defining moments, which makes the calculation results hard to foresee and the utilization of polynomial randomization can further build the haphazardness of the defining moments. Likewise, the higher size of the video information must be diminished without rotting the data and without trading off the security. Subsequently, this work proposes a novel key edge comparability extraction procedure utilizing versatile movement. The similitude areas in the key casings contains comparable data and, in this manner, can be scrambled all around. This diminishes the time unpredictability to a more noteworthy broaden. Associated with the comparable line of advancement, this work likewise proposes time limited encryption and unscrambling calculations, which can separate between the comparable and unique areas and decrease the time intricacy further. The proposed algorithm demonstrates nearly 40% improvements over the standard encryption algorithms. 11 30 2019 4718 4725 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.A5044.119119 https://www.ijitee.org/portfolio-item/A5044119119/ Department of Information Science and Engineering, Ramaiah Institute of Technology, Bengaluru, India. Prashanth Kambli* Amruthalakshmi Department of Information Science and Engineering, Ramaiah Institute of Technology, Bengaluru, India. Naresh E Department of information Science and Engineering, Ramaiah Institute of Technology, Bengaluru, India. Over the past few years there has been a tremendous developments observed in the field of computer technology and artificial intelligence, especially the use of machine learning concepts in Research and Industries. The human effort can be further more reduced in recognition, learning, predicting and many other areas using machine learning and deep learning. Any information which has been handwritten documents consisting of digits in digital form like images, recognizing such digits is a challenging task. The proposed system can recognize any handwritten digits in the document which has been converted into digital format. The proposed model includes Convolutional Neural Network (CNN), a deep learning approach with Linear Binary Pattern (LBP) used for feature extraction. In order to classify more effectively we also have used Support Vector Machine to recognize mere similar digits like 1 and 7, 5 and 6 and many others. The proposed system CNN and LBP is implemented on python language; also the system is tested with different images of handwritten digits taken from MNIST dataset. By using proposed model we could able to achieve 98.74% accuracy in predicting the digits in image format. 11 30 2019 4368 4372 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.A5045.119119 https://www.ijitee.org/portfolio-item/A5045119119/ Karaganda State University of the name academician E.A. Buketov, Karaganda, Kazakhstan Raikhan Sabirova* Dybys Zhanserikova Karaganda State University of the name academician E.A. Buketov, Karaganda, Kazakhstan Gulmira Topanova Pavlodar State Pedagogical University, Pavlodar, Kazakhstan Uldar Autalipova Kazakh State Women's Teacher Training University, Almaty, Kazakhstan Arna Aplashova Pavlodar State Pedagogical University, Pavlodar, Kazakhstan The paper is focused on the process of students’ professional competence formation. The major emphasis is on the competencies related to social and educational activities in the context of the commercialization of education. The authors’ biggest contribution is a specially designed model. It describes the formation of students’ professional competence in social and educational activities. Professional competencies of students are a qualitative integral manifestation of personal traits with a focus on social and educational activities. It includes a certain level of individual development and the mastering of special knowledge, skills, and abilities, as well as self-development that contribute to the successful implementation of professional activities in the context of the commercialization of education. The formation of professional competencies is presented as a focused, systematic process. There is much evidence that this process requires a systematic pedagogical, psychological, and special knowledge to develop skills and abilities in organizing and conducting social and pedagogical work. The content of this process is a complex activity targeting professionally significant qualities, the acquisition of systematized knowledge and skills in the field of social pedagogical activity. The results of the study are of much importance for practical use in the university. The proposed model allows identifying the levels of formation of students’ professional competencies. 11 30 2019 3965 3971 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.A5052.119119 https://www.ijitee.org/portfolio-item/A5052119119/ Centre for Innovative Architecture and Built Environment (SErAMBI), Universiti Kebangsaan Malaysia, Bangi, Selangor, Malaysia. Nik Lukman Nik Ibrahim* Mohd Khairul Azhar Mat Sulaiman Centre for Innovative Architecture and Built Environment (SErAMBI), Universiti Kebangsaan Malaysia, Bangi, Selangor, Malaysia. Amran Atan Centre for Innovative Architecture and Built Environment (SErAMBI), Universiti Kebangsaan Malaysia, Bangi, Selangor, Malaysia. Since antiquity, architects have been using simple guides or easy to use calculation methods called rules of thumb for predicting daylighting performance inside buildings. These rules of thumb in daylighting continue to develop as new knowledge in science and technology evolves. In architectural practice, daylighting rules of thumb have often been expressed in terms of the percentages of window area to floor area. Such rules can be found in architectural literatures as well as in building regulations in various countries. The percentages of window glazing area to floor area suggested in the literatures and building codes often range from 10% to 35% depending on the specified visual tasks and the illumination characteristics desired. One of the most frequently cited daylighting rules of thumb is for 20% glazing to floor area allocated for habitable room or space. These rules of thumb are usually based on the standard clear glass with transmittance value of approximately 0.8 to 0.9. However, many recent buildings in tropical countries have glazing transmittance lower than this value for glare control and privacy purpose. In order to address this issue, daylighting simulations were conducted using AGi-32 to determine the effects of different glazing transmittances on indoor daylight performances and to modify existing rule of thumb. Based on the simulation data and analysis, a well-known daylighting rule of thumb by Littlefair is modified to cater for multiple glazing transmittances. This new rule of thumb presents an easy to use calculation to estimate daylight factor for interior based on glazing transmittance value. 11 30 2019 4373 4378 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.A5053.119119 https://www.ijitee.org/portfolio-item/A5053119119/ Lecturer, Department of Electronics and Instrumentation, Engineering of Karunya University, Coimbatore, TamilNadu, India. Subha Hency Jose P* P. Rajalakshmy Assistant Professor, Department of Instrumentation Engineering, Karunya Institute of Technology and Sciences, Coimbatore, TamilNadu, India. P. Manimegalai Associate Professor, IE Department, Karunya Institute of Technology & Sciences, Coimbatore, TamilNadu, India. K. Rajasekaran Associate Professor, IE Department, Karunya Institute of Technology & Sciences, Coimbatore, TamilNadu, India. Ventilator device are external devices that are designed to assist a patient to perform a particular task. It is to keep up or improve a breathing ability of a person if he encounters problem in his own breathing. Ventilators play a vital role in human’s life. It is a piece of equipment, software program or product system that is used to increase, maintain, or improve the functional capabilities of persons with disabilities in breathing period. This paper deals with the hardware design of a lab model ventilator. A prototype model of the ventilator has been designed and tested 11 30 2019 4785 4789 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.A5056.119119 https://www.ijitee.org/portfolio-item/A5056119119/ EIE Department, CVR College of Engineering, Hyderabad, India D Shyam Prasad* Samiran Chatterjee ECE Department, Vignan’s Institute of Management and Technology for Womem, Hyderabad, India. Double Layer Single Feed dual resonant frequency patch antenna is presented in this paper. After design the patch, we are etched triangular and rectangular slots at the top and bottom layer of the patch. After design the antenna structure, we got a remarkable result and the operating frequencies are used for the various applications of microwave Communication. Two triangular slots are designed at the top layer from the both sides of the patch with one rectangular slot from the bottom layer and also one h-type slot is introduced at the middle portion from the rest at bottom layer to obtain the desired resonant frequency. The different shapes of the patch used to improve the gain bandwidth performance of the antenna. We get two operating frequencies for this triangular shaped printed antenna. 1st frequency is applicable for microwave radiometry from aircraft to measure ocean wind speed and rain characteristics in hurricanes and the other is used to design BeO POWER CHIP RESISTOR which is applicable for Microwave and RF high power communication, microwave amplifiers and power dividers. This paper includes an extensive analysis of simulated results for this above mentioned microstrip printed patch antenna. All results are simulated and verified by the network analyzer. Due to the basic characteristics of proposed printed antenna, it is suitable for the applications in long distance radio telecommunication systems. It is also applicable for satellite communication and microwave relay systems. 11 30 2019 4726 4729 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.A5059.119119 https://www.ijitee.org/portfolio-item/A5059119119/ Department of Information Technology, Easwari Engineering College, Chennai, India, Dr. Ananthi N* Akshaya S Department of Information Technology, Easwari Engineering College, Chennai, India Aarthi B Department of Information Technology, Easwari Engineering College, Chennai, India Aishvarya J Department of Information Technology, Easwari Engineering College, Chennai, India Kumaran K Department of Information Technology, Easwari Engineering College, Chennai, India Fruits which grow with high yield in many states of India are rich in proteins. But due to addition of excess pesticides and chemicals intake of these fruits lead to serious health problems. It is necessary to identify the presence of chemical in the fruits before consuming it. In this project we have planned to develop an image processing technique to analyze whether the fruit is free from chemicals and fungus. In our paper, we have implemented MATLAB used as well as fungus present in the fruit. We capture the images of the fruit or we use datasets and train the database with different color-based changes that happen after adding chemicals to the fruit. The enhancement process is carried out in the captured image. Then image is segmented to hit the regions with affected spots in the fruit. K-means method is used to carry out the segmentation process. The input image is compared with the given data set for training to identify the images. In this way unhealthy fruits can be identified and the affected spots in the fruit can be detected. 11 30 2019 3493 3497 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.A50605.119119 https://www.ijitee.org/portfolio-item/A5060119119/ Associate Professor, Department of Mechanical Engineering, PSNA College of Engineering and Technology, Dindigul Dr.S. Sridhar* S. Sabareesan Assistant Professor, Department of Mechanical Engineering, PSNA College of Engineering and Technology, Dindigul Dr.R. Kannan Professor, Department of Mechanical Engineering, PSNA College of Engineering and Technology, Dindigul CNC tool is generally made of high speed steel (HSS) which has shorter life due to the increasing depth of cut. The steel shank wears within a short life time by the chips produced during machining process. And even the tool material cannot withstand a large amount of load. The damaged tool material is analysed and an alternate material is used to manufacture the tool. Alternate material used to manufacture the CNC tool which would have properties superior than HSS. The objective of this paper is to analyze the temperature increase & the thermal deformation of different materials like nickel-chromium and nickel-vanadium using Finite Element Analysis. 11 30 2019 4730 4733 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.A5061.119119 https://www.ijitee.org/portfolio-item/A5061119119/ Professor, Dept. of CSSE, Centre for Computer Networks and Cyber Security, Sree Vidyanikethan Engineering, Tirupati, 517102, India Dr. C. Madhusudhana Rao* Network Intrusion Detection Systems (NIDS) protects networks connected to the internet from malicious attacks by monitoring network flows predominantly at fragment level in network layer. Inspecting every fragment of a network flow is computationally prohibitive. The Acceptance Sampling for Network Intrusion Detection (ASNID) method avoids hundred percent inspections of fragments to detect anomalous flows. This study proposes a model to determine optimal acceptance sample size. Further, this study also proposes a model for estimating the cost of computational effort. 11 30 2019 4379 4383 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.A5064.119119 https://www.ijitee.org/portfolio-item/A5064119119/ Lomonosov Moscow State University, Moscow, Russia. Margarita Sergeevna Shakhova* Maria Vasilievna Smorodinova Moscow State Institute of Physical Culture, Sports and Tourism named after Yu.A. Senkevich, Moscow, Russia. Olga Aleksandrovna Repushevskaya Russian University of Cooperation, Moscow, Russia. Aleksandr Vasilievich Tkach Russian University of Cooperation, Moscow, Russia. Elena Ivanovna Balalova Russian University of Cooperation, Moscow, Russia. Deni Dokkaevich Saydulaev Chechen State University, Grozny, Russia. Digital education is education that primarily functions based on digital technologies, that is, electronic transactions that are implemented using the Internet. Digital education aims to professionalize and increase the mobility of those who study and at the present stage of ICT development, it can be considered as a technological basis for the fundamentalization of higher education. The purpose of the article is to analyze the technological capabilities of digital education on the example of the use of innovative classroom in the educational process. The article analyzes the advantages of the educational environment equipped with digital tools. Based on an expert survey, the main characteristics of the innovative classroom, as well as technological requirements for the innovative classroom, are determined and various models for the organization of the innovative classroom are presented. 11 30 2019 3972 3976 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.A5066.119119 https://www.ijitee.org/portfolio-item/A5066119119/ Department of Diagnostic Information Technologies, National Research University (MPEI), Moscow, Russian Federation. Barat Vera* Bardakov Vladimir Department of Scientific Research, Interunis-IT, Moscow, Russian Federation. This article discusses the problems of the acoustic emission method of non-destructive testing. An approach to filtering noise arising from monitoring of acoustic emission is considered. The filtering of acoustic noise is one of the key problems of the acoustic emission method, since the low noise immunity of the acoustic emission method prevents the expansion of its industrial application. The complexity of the filtering is explained by the fact that the waveform and spectrum of acoustic emission pulses change depending on the distance between the defect, which is the source of acoustic emission waves, and the sensor. In turn, the interference, as a rule, is non-stationary in nature and is determined by the type of technological process of the tested composition. This article discusses various types of noise processes, both stationary and non-stationary. The signal and noise parameters are compared, based on which recommendations are given for constructing algorithms for detecting acoustic emission pulses against a background of noise. 11 30 2019 3977 3980 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.A5067.119119 https://www.ijitee.org/portfolio-item/A5067119119/ National Research University ‘MPEI’ (NRU ‘MPEI’), Moscow, Russia A.V. Volkov* A.A. Vikhlyantsev National Research University ‘MPEI’ (NRU ‘MPEI’), Moscow, Russia. A.A. Druzhinin National Research University ‘MPEI’ (NRU ‘MPEI’), Moscow, Russia. A.V. Ryzhenkov National Research University ‘MPEI’ (NRU ‘MPEI’), Moscow, Russia. S.N. Pankratov National Research University ‘MPEI’ (NRU ‘MPEI’), Moscow, Russia. B.M. Orahelashvily National Research University ‘MPEI’ (NRU ‘MPEI’), Moscow, Russia. A.K. Lyamasov National Research University ‘MPEI’ (NRU ‘MPEI’), Moscow, Russia. This work discusses design issues of microturbines for combined energy sources based on microhydropower plants for the heads H≤20 m and the flow rates Q ≤1.20 m3/s. It is proposed to optimize microturbines. The main approaches to the formulated problem are described, optimization algorithm is analyzed exemplifying its embodiments for separate elements of microhydroturbines. The proposed approach has been verified. Experimental results of microhydroturbine optimization for simulated combined energy source based on microhydropower plant with the available head H =1.1 m, flow rates Q ≤0.021 m3/s and rotation frequency of electric generator n = 1000 rpm have been presented. On the basis of numeric simulation, the hydraulic efficiency of hydroturbine has been increased by 5.4% as a consequence of the proposed approaches. 11 30 2019 3981 3987 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.A5070.119119 https://www.ijitee.org/portfolio-item/A5070119119/ Complex Systems LLC, Tver, Russia Sergei Sergeevich Smirnov* Dmitrii Aleksandrovich Sytnik Complex Systems LLC, Tver, Russia Nikolai Valerievich Bradis Complex Systems LLC, Tver, Russia Andrei Ivanovich Kardakov Intelligent Solutions LLC, Tver, Russia Tracking systems are the most important components in virtual reality devices and appliances. In the simplest case, in order to represent current picture for a user of virtual reality glasses, it is required to provide head tracking. In complex devices of virtual reality, it is also required to track position of device itself and dynamics of its motions. This work is aimed at development of 3D positioning algorithms for virtual reality devices and appliances. In this work positioning is based on operation of inertial sensors. The issues of motion capture and calibration of inertial devices are considered as well as application of Madgwick filter for noise suppression and quaternions for description of coordinate rotation. This work discusses the application of the developed algorithms for various virtual reality devices and appliances. 11 30 2019 3988 3994 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.A5071.119119 https://www.ijitee.org/portfolio-item/A5071119119/ Research Scholar, KSOM, KIIT University, Bhubaneswar, Odisha, INDIA Devesh Rath Dr. Ipseeta Satpathy Senior Professor, KSOM, KIIT University, Bhubaneswar, Odisha, INDIA Dr. B.C.M. Patnaik Professor, KSOM, KIIT University, Bhubaneswar, Odisha, INDIA Industrialization is the crucial arm of an economy which is a dream for every single country on the globe. The theoretical term Industry 4.0 or Smart Factory delineates a societal and basic man comprehension of computerized innovative (digitalization) patterns which further subdivides the accompanying arrangements into Mobile gadgets, Internet of Things (IoT) stages, Location discovery advances, Advanced human-machine interfaces, Authentication and extortion identification, 3D printing, Smart sensors, Big information investigation and propelled calculations, Multilevel client communication and client profiling, Augmented reality / wearables, Cloud registering, haze figuring, man-made consciousness, AI, mechanical autonomy computerization and so forth. This paper manages the investigation of various parts of Industry 4.0 with it’s entomb connection with advancement and business cultivating towards big business manifestations and upgrade of worldwide economy through innovative intercessions. 11 30 2019 4384 4390 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.A5074.119119 https://www.ijitee.org/portfolio-item/A5074119119/ Assistant Professor, Department of Electrical Engineering, KIIT deemed to be University, Bhubaneswar, India. Dr. Babita Panda* Dr. Arjyadhara Pradhan Assistant Professor, School of Electrical Engineering, KIIT Deemed to be University, Bhubaneshwar, Odisha, India. Dr. Bhagabat Panda Associate Professor, Department of Electrical Engineering, PME College, Barhampur India. Nivedita Pati PhD, Department of Electrical Engineering, KIIT University, Bhubaneshwar, Odisha, India. Dr. Chitralekha Jena Assistant Professor, Department of Electrical Engineering, KIIT University, Bhubaneshwar, Odisha, India. Photovoltaic energy is one of the ruling area due to it’s easy availability and pollution free nature. At the same time the voltage from the PV is needed to be stepped up for different load requirements. There are various pulse width modulation techniques for the control of impedance Source inverter(ZSI).Here we have considered Carrier based various PWM techniques for PV-ZSI Converter. The proposed converter consists of cascade connection of PV Modules and Conventional-ZSI which provides higher boosting factor and smaller size than that of existing VSI .The performance of inverters depend on the type of modulation technique used to switch them. This work depicts a detailed analytical approach in MATLAB/Simulink platform as well hardware consists of sine triangle PWM method for proposed new topology PV-ZSI. It has been observed output voltage of proposed inverter is more in comparison to conventional VSI. As the proposed inverter is lesser in size and output voltage is greater so it is more efficient than conventional VSI. There is no requirement of Boost converter . 11 30 2019 4391 4395 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.A5075.119119 https://www.ijitee.org/portfolio-item/A5075119119/ Department of Computer Science and Engineering, Dr. M.G.R. Educational and Research Institute, Chennai, India. V. R. Niveditha* T. V. Ananthan Department of Computer Science and Engineering, Dr. M.G.R. Educational and Research Institute, Chennai, India. In recent years, security has become progressively vital in mobile devices. The biggest security problems in android devices are malware attack which has been exposed to different threats. The volume of new applications by the production of mobile devices and their related app-stores is too big to manually examine the each and every application for malicious behavior. Installing applications which may leads to security vulnerabilities on the smart phones request access to sensitive information. There are various malwares can attack android device namely virus, worms, Botnet, Trojans, Backdoor and Root kits due to these attacks the users is compromised by privacy. Root kits and viruses in mobile phone and IoT devices improve along with smart device versions are very difficult to detect or to the least costly. There are 3 places where the trace of these root kits / virus is visible namely CPU, Baseband and Memory. In the new approach we will use machine learning to detect “anomaly” usage pattern and a remote (master server) will analyze and verify the presence of such threats. This research work aims to develop a pipeline to investigate if any application present in a smart device is a malware or not. This pipeline uses HMM algorithm to read anomaly in application behavior, deep learning with Deep Belief Networks (DBN) to classify application events, and bootstrapping algorithm using random forest to categorize the application itself after malware or benign. 11 30 2019 4396 4400 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.A5082.119119 https://www.ijitee.org/portfolio-item/A5082119119/ Centre for Robotics and Industrial Automation, Fakulti Kejuruteraan Elektrik, Universiti Teknikal Malaysia Melaka, Durian Tunggal, Melaka, Malaysia. Rahifa Ranom* Hawa Najihah Azni Rosszainily Production Planner, STH Wire Industry (M) Sdn. Bhd., Ayer Keroh, Melaka, Malaysia. Nowadays, the interest of high proficiency of Lithium ion batteries is increasing as they provide high volumetric energy densities and to meet the demand of exponentially growth of electronic devices. Furthermore, LIB has shown their potential to offer high performance rechargeable battery in the research of electric vehicles. Electrochemical process of Lithium ion batteries encompasses a complex ion transport between the anode and cathode within an electrolyte. The multiscale LIB model consists of charge transport within electrode particle and in electrolyte and the reaction rate at the electrolyte-electrode particle interface which directly relating the geometry of microstructure (the size of particles, about 1nm) to the behaviour in macroscopic model (within the thickness of electrode, about 1 μm). Thus, the geometry of cell and the interfacial behaviour are significantly control the rate of reaction rate. This study concerns about the effect of geometry variations of cell upon the discharge curve of LiFePO4 cathode material. The electrochemical model is solved using Method of Lines technique by discretising the spatial variable using Finite Difference Method. The simulation result is verified with experimental data of LiFePO4 cell by Yu et. al. [14]. The effect of different sizes of particles and volume fractions upon the cell performance are examined. It has been shown that decreasing the size of electrode particles produce high cell potential but slightly low capacity. On the other hand, the optimal volume fraction is shown to be provided that all the particles are spherical and of the same size. Smaller volume fractions resulted in low capacity. 11 30 2019 4401 4405 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.A5086.119119 https://www.ijitee.org/portfolio-item/A5086119119/ Civil Engineering Dept., Chandigarh University, Punjab, India. Azad Khajuria* Er. Puneet Sharma Lecture, Civil Engineering Dept., Chandigarh University, Punjab, India. There is no doubt concrete is most useful thing in construction industry but it has a negative impact also, just like a coin has two faces. Raw materials used in manufacturing of concrete affects the environment in one or the another negative way. Like manufacturing of cement produce carbon dioxide whereas the production of aggregates adds dust to the environment. Production of coarse aggregates also impact the geology of the area from they were extracted. A step taken in this direction is the use of waste products along with or in replacement of cement. Many of these materials are already in use, like silica fume, fly ash etc. In this study, plastic coarse aggregates were used in place of natural coarse aggregates. Plastic aggregates were produced by little processing of waste plastic. Plastic is the biggest threat to the environment, and it is affecting the environment rapidly. Some recent studies show that it can be used construction industry due to some of its properties like inert behavior, resistance to degradation etc. Also use of waste plastic can help in reducing plastic waste Various experiments were performed to test the mechanical properties of the concrete with plastic coarse aggregates. Concrete was prepared using plastic coarse aggregates in varying proportions of 0, 2.5, 5, 7.5 and 10%. 11 30 2019 4406 4412 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.A5088.119119 https://www.ijitee.org/portfolio-item/A5088119119/ Doctor of Technical Sciences, Professor Tashkent State Technical University named after Islam Karimov.100095, str.2 University, Tashkent, Uzbekistan Safarov Jasur Esirgapovich* Sultanova Shahnoza Abduvaxitovna PhD, Assistant Professor Tashkent State Technical University named after Islam Karimov.. 100095, str.2 University, Tashkent, Uzbekistan Dadayev Gani Toshxodjaevich PhD Tashkent State Technical University named after Islam Karimov.100095, str.2 University, Tashkent, Uzbekistan Samandarov Doston Ishmuxammat ugli Assistant, Scientific Applicant Tashkent State Technical University named after Islam Karimov.100095, str.2 University, Tashkent, Uzbekistan The article discusses the results of an experimental study of the process of primary processing of silkworm cocoons (Bombyx mori). During the study, the possibilities of the primary processing of silkworm cocoons using elastic waves with infrared radiation were examined. The Tashkent State Technical University has developed a mechanism for generating low-frequency oscillations due to an electromechanical drive to pallets. In the laboratory of the department, a full-scale test was carried out for the primary processing of silkworm cocoons (Bombyx mori). Studies were carried out to determine the parameters as temperature and time of primary processing of silkworm cocoons in 5 times repetition. The results of the experiments are the primary processing of live cocoons (Bombyx mori) in the amount of one hundred pieces with infrared rays, the effects of vibration and elastic waves (the distance between the tube distributing infrared rays and raw materials is 10 cm, the duration of the process is 5 minutes). The study revealed that, as silkworm cocoons processed in the temperature range at 65-70 0С using vibration waves were moderate for 3-5 minutes and for 10 days at a temperature of 38-42 0С the cocoons continued to dry to 10-12% of the cane humidity. The use of elastic waves in the processing of cocoons proceeded 5-10% lower relative to the processing using vibratory waves. The obtained results, the experiments confirm that when applying vibration and IR radiation accelerates the process of primary processing of silkworm cocoons. The study found the optimum temperature and time for the primary processing of silkworm cocoons. Due to briefly temporary processing, the final product is improved. 11 30 2019 4562 4565 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.A5089.119119 https://www.ijitee.org/portfolio-item/A5089119119/ Department of Guidance and Counseling, Universitas Negeri Jakarta, Jakarta, Indonesia. Herdi Herdi* Sunaryo Kartadinata Department of Educational Psychology and Guidance, Universitas Pendidikan Indonesia, Bandung, Indonesia. Agus Taufiq Department of Educational Psychology and Guidance, Universitas Pendidikan Indonesia, Bandung, Indonesia. Current studies have consistently found that the excellent performance of counselors and the effectiveness and efficacy of counseling are influenced by counseling alliances that are established between counselor and counselee. For this reason, the existence of a tool accurately measuring counseling alliance between counselor and counselee, especially counselee version is necessary. The purpose of this study is to develop and exam psychometric properties of Counseling Alliance Inventory-Counselee version based computer assisted testing (CAI-Ce CAT). This study used instrument development and standardization procedures. This study’s participants of 85 of counselees in Indonesia. Data were collected using questionnaire that is CAI-Ce CAT initial version in the form of Likert five-level scale. Operationally, data analysis was performed by using Rasch Model version 3.75. The results showed that CAI-Ce CAT had satisfying psychometric properties, i.e. item measure, item fit order, DIF, person measure, person fit order, variable maps, rating scale, test reliability, person reliability, and item reliability. Results suggest that the New CAI-Ce CAT can provide efficient and valid assessments of counseling alliance. However, the factor structure still needed to be improved. Further studies are needed to examine the psychometric properties of CAI-Ce CAT in various socio-demography of participants. 11 30 2019 4566 4570 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.A5090.119119 https://www.ijitee.org/portfolio-item/A5090119119/ Department of Ship Technology, Cochin university of science & Technology (CUSAT), Kalamassery, Kerala state, India. Midhu Paulson* Dr.Mariamma Chacko Department of Ship Technology, Cochin university of science & Technology (CUSAT), Kalamassery, Kerala state, India. Utilization of renewable energy for the reduction of fuel consumption and green house gas (GHG) emissions in the shipping industry has been increased rapidly in the recent years. Wind energy is a clean renewable energy with no pollution which is abundantly available at sea. This paper proposes two different possible configurations of connecting wind power energy into the ship’s main grid bus system . Wind electrical energy output has been connected to ship’s main ac bus system in one configuration and it is connected to ship’s main dc bus system. Even though Wind assisted ship propulsion (WASP) had been started already in the last decades in the form of wing sails, kites, Flettener rotor etc which could assist auxiliary propulsion of the ships, the application of wind power generator on the ship is not often applied. Therefore this paper has a relevant significance in applying wind electrical energy for the marine electrical power system needs. This paper also reveals the benefits and challenges in the area of onboard wind generation and opens future research possibilities in integrating wind energy into marine industry. 11 30 2019 4413 4418 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.A5093.119119 https://www.ijitee.org/portfolio-item/A5093119119/ Computer Applications, Bharath Institute of Higher Education, Research, Chennai, India. Jasmeena Tariq* Dr Kumaravel Professor, Dean, School of Computing, Bharath University, Chennai, India. Tumors in brain have a fast growth(malignant) and should be prevented through various medical ways. However detecting these tumor cells accurately can help the medical professionals to provide accurate and hassle free diagnosis and treatment. Thus we are using Cellular Automata to provide better detection methods in an MRI(Magnetic Resonance Imaging). Cellular Automat is widely used concept with image processing. It is a system which id discreet and dynamic and comprises of simple cellular grid and rules, and works locally. Due to simplicity and usage in complex problems it is widely used concept in many new emerging data science complex problems. Conway’s Game of Life is very well known cellular automata and thus researchers are becoming more interested in CA. 11 30 2019 3498 3501 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.A5095.119119 https://www.ijitee.org/portfolio-item/A5095119119/ Department of Civil Engineering, VNR Vignana Jyothi Institute of Engineering and Technology, Hyderabad, India. Vijay Bharath Reddy Vavilla* Rakesh Siempu Department of Civil Engineering, VNR Vignana Jyothi Institute of Engineering and Technology, Hyderabad, India. Concrete having characteristics strength of more than 65 MPa is categorized as high-strength concrete according to IS 456. The high strength concrete is more brittle compared to ordinary strength concrete and inclusion of fibers can increase the ductility of concrete. In the present study, high strength self-compacting concrete of characteristic strength of 90 MPa was developed as per the guidelines of EFNARC. Basalt fibers were considered to investigate its influence on the properties of high strength self compacting concrete. Three aspect ratios of 230, 530 and 600 were considered and are added in proportions of 0.1% and 0.4% by volume of concrete. The properties of concrete determine were fresh and hardened. Fresh properties such as slump flow test, V-funnel test, V-funnel T5 minutes and L-box test were determined as per EFNARC. Also, hardened properties such as compressive strength, split tensile strength and flexural strength were determined. A typical comparison on the effect of aspect ratio of basalt fibers and the dosage on the properties of concrete were determined. From the results, the optimum dosage of fibers was determined. 11 30 2019 3995 3998 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.A5096.119119 https://www.ijitee.org/portfolio-item/A5096119119/ SCOPE, Vellore Institute of Technology, Vellore, Tamil Nadu-632014, India. Rishab Singh* Yash Bhojwani* SCOPE, Vellore Institute of Technology, Vellore, Tamil Nadu-632014, India. Rachana Reddy* SCOPE, Vellore Institute of Technology, Vellore, Tamil Nadu-632014, India. Parveen Sultana H SCOPE, Vellore Institute of Technology, Vellore, Tamil Nadu-632014, India. Standard interfaces like joysticks and keyboards act as a hindrance in providing precision-oriented results due to its unnaturalness. Recent developments have been made to overcome such imprecise interaction by developing gesture control based on accelerometer. Combining this gesture recognition concept with Bluetooth and the internet we aim to control the robot wirelessly to be able to ease human effort. Using this technology, we can surmount the difficulty faced in gathering data from a hazardous and lethal areas that might pose threat to human life. An accelerometer which measures the acceleration forces by sensing changes in its capacitance and translating it into voltage for interpretation helps us to get values of human body movement in terms of 3D plane. Bluetooth at the same time works by exchanging data between a phone and fixed device wirelessly. This is done using short-wavelength over short distances. Using both these technologies, every swinging motion will be sensed to gather precise movement using the accelerometer- ADXL335 and sending this data to the Arduino Uno which processes the received input and outputs instruction to be followed by the bot. This generated data is sent over to the phone app using Bluetooth module HC-05 which is further sent to the Thingspeak.com website. The receiver end then receives this data using Node MCU Wi-Fi Module and drives the motor to the input direction through the driving board connected to it. Hence, a common man will be able to use this effectively and easily to complete his tasks. 11 30 2019 4419 4423 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.A5098.119119 https://www.ijitee.org/portfolio-item/A5098119119/ M.E, Department of Computer Science and Engineering, Rajalakshmi Engineering College, Chennai India. S. Geethapriya* Dr.K. Devaki Professor, Department of Computer Science and Engineering, Rajalakshmi Engineering College, Chennai India. S. Geethapriya M.E, Department of Computer Science and Engineering at Rajalakshmi Engineering College, Chennai, India. Template matching is an application in computer vision for finding similar objects between the images. Template matching is a key component in image analysis process for mapping similar patterns between images. The detection and matching of objects has gained widespread application in quality control, manufacturing and medical applications. The major challenges in template matching process are occlusion, background noise and non-rigid transformation particularly in medical images. The present work proposes a template matching method based on correlation analysis techniques to detect multiple objects occurrence in an image. The method has been experimented for various real-time applications. In medical images, the proposed method gave an accuracy of 86% in detecting the nodules in lung CT images. 11 30 2019 3502 3506 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.A5187.119119 https://www.ijitee.org/portfolio-item/A5187119119/ Business Management Program, Management Department, BINUS Business School Master Program, Bina Nusantara University, Jakarta, Indonesia. Yuli Widianty* Asriana Dwiyanthi Business Management Program, Management Department, BINUS Business School Master Program, Bina Nusantara University, Jakarta, Indonesia Ni Ketut Prawianti Business Management Program, Management Department, BINUS Business School Master Program, Bina Nusantara University, Jakarta, Indonesia. Lim Sanny Business Management Program, Management Department, BINUS Business School Master Program, Bina Nusantara University, Jakarta, Indonesia. The study seekss to determine factors that affect customer satisfaction towards their loyalty in Indonesian telecommunications industry. The research seeks to find out how the influence of financial factors, Technology Factors and Customer Service Factors are on Customer Satisfaction and the influence of financial factors, Technology Factors and Customer Service Factors on Customer Loyalty directly or indirectly. The sources of data used in the article are major data and minor data. The major data were attained from a structured questionnaire. The questionnaire was opened online and the total respondents obtained were 160 respondents and they were valid. The results of this questionnaire indicate that the factors that influence Customer Satisfaction, namely, financial factors, technological factors and customer service factors also affect Customer Loyalty to telecommunications service providers in Indonesia. This study found that Financial Factors, Technology Factors and Customer Service Factors had a prospective influence on Customer Satisfaction, Customer Satisfaction had a determining relationship with Customer Loyalty and it was found that indirectly Financial Factors and Technology Factors through Customer Customer Satisfaction had a determining influence on Customer Loyalty whereas Customer Service Factor did not. 11 30 2019 4571 4577 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.A5212.119119 https://www.ijitee.org/portfolio-item/A5212119119/ Department of Computer Science Engineering, SRM Institute of Science and Technlogy, Chennai, India. Dr Balika J. Chelliah* Arth jain Department of Computer Science Engineering, SRM Institute of Science and Technology,Ramapuram, Chennai, India. Utkarsh singh Department of Computer Science Engineering.SRM Institute of Science and Technology Ramapuram, Chennai, India. Garima Mehta Department of Computer Science and Technology, SRM Institute of Science and Technology, Chennai, India. Machine learning is a prominent tool for getting data from large amounts of information. Whereas a good amount of machine learning analysis has targeted on increasing the accuracy and potency of coaching and reasoning algorithms, there is less attention within the equally vital issues of observing the standard of information fed into the machine learning model. The standard of huge information is far away from good. Recent studies have shown that poor quality will bring serious errors to the result of big data analysis and this could have an effect on in making additional precise results from the information. Advantages of data preprocessing within the context of ML are advanced detection of errors, model-quality improves by the usage of better data, savings in engineering hours to debug issues 11 30 2019 2756 2760 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.A5216.119119 https://www.ijitee.org/portfolio-item/A5216119119/ Department of Applied Mathematics, GITAM Institute of Science, GITAM, Visakhapatnam 533045, India. Sireesha V* Himabindu K Department of Applied Mathematics, GITAM Institute of Science, GITAM, Visakhapatnam 533045, India. This paper proposes an interval valued trapezoidal intuitionistic fuzzy (IVTIF) decision making model for multi criteria group decision making (MCGDM) problem by taking into consideration that the criteria weights of each decision maker may differ with respect to each other when criteria weights are unknown prior. In this process, a new method to find the criteria weight based on alternatives performance and Einstein weighted averaging operator on IVTIFSs is defined. Further, the properties of interval valued trapezoidal intuitionistic fuzzy Einstein weighted averaging (IVITFEWA) operator are proved. The proposed method is illustrated by taking a numerical example. From the results it is observed that the proposed method can effectively rank the alternatives compared to existing methods. 11 30 2019 4424 4429 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.A5217.119119 https://www.ijitee.org/portfolio-item/A5217119119/ Electrical and Electronics Engineering, Kongu Engineering College, Perundurai, Erode, India. M. Suresh* P. Maniraj Electrical and Electronics Engineering, M.Kumarasamy College of Engineering, Thalavapalayam, Karur, India. S. Sundar Electrical and Electronics Engineering, Bannari Amman Institute of Technology, Sathyamangalam, India. T. Logeswaran Electrical and Electronics Engineering, Kongu Engineering College, Perundurai, Erode, India. P. Tamilarasu Electrical and Electronics Engineering, Kongu Engineering College, Perundurai, Erode, India. The electricity demand is increasing day by day and leads do increase in generation and power transmission. India consumes about 3.4% of world energy consumption. The energy demand has grown at the average of 3.6% per annum over the past 30 years. Usually the demand for the electricity increases abruptly during peak hours. So it is necessary to monitor the loads during peak hours in order to provide energy sufficiently. The government has taken steps to reduce power consumption in industrial sector. Demand reduction can also possible in domestic sector. This Paper presents a load management model for domestic houses. Every house has a maximum demand limit for essential loads. During peak hours, if the consumer consumes power more than the preset limit,, based on the priority of load the power supply to the load will be turned off automatically and by using the cloud, the data can be visualized and analyzed. The power consumption during peak time is updated in cloud using NODEMCU and Thingspeak. The information can also be used for load forecasting 11 30 2019 2761 2763 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.A5221.119119 https://www.ijitee.org/portfolio-item/A5221119119/ Assistant professor, Koneru Lakshmaiah Education Foundation, Vaddeswaram, Andhra pradesh, India. M.N.V.R.L. Kumar Habtamu Mitiku Feyissa Lecturer, Department of Mechanical Engineering, college of Engineering Research transfer coordinator, Maddawalabu university, Bale robe, Ethiopia G. Kedarnath Assistant Professor, Guru Nanak Institutions Technical Campus, Hyderabad, Telangana. L. Ranganath Assistant professor, Koneru Lakshmaiah Education Foundation, Vaddeswaram, Andhra pradesh, India. The world is running around invention and advancements in the existing products or components, and this wasn’t be easy without design concepts and its principles. This paper is conferring on this facet, how the design can be made robust against manufacturing flaws by varying the parameters such as material properties, dimensions, shapes etc. If a design engineer compels a mistake while designing a product, results in the following aspects: confidence, business, customers, sales, servicers, repute etc. If we modify the design, and make it robust, some or all of these losses will be recouped., It is not an easy task to discuss all manufacturing capabilities in one go , to have a lucidity in the concept the flaws of manufacturing during casting were focused in this paper. Based on the theoretical study and experiment analysis conducted on a casting “+” model the results are outlined. Based on the output, a list of generic design principles was defined, which can be considered by a design engineer during casting design process. The paper starts with a brief introduction to robust design, followed by a literature review, then design solutions, computer simulation analysis of a casting component (using Solid Works) and finally the conclusions made from the results. 11 30 2019 2764 2769 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.A5222.119119 https://www.ijitee.org/portfolio-item/A5222119119/ Undergraduate students, Department of Electrical and Electronics Engineering, Amrita School of Engineering, Amrita Vishwa Vidyapeetham, Coimbatore, India. Viknesh M R J Swaminathan Undergraduate students, Department of Electrical and Electronics Engineering, Amrita School of Engineering, Amrita Vishwa Vidyapeetham, Coimbatore, India. Mahakaleshwar P Undergraduate students, Department of Electrical and Electronics Engineering, Amrita School of Engineering, Amrita Vishwa Vidyapeetham, Coimbatore, India. Anju S Pillai Assistant Professor, Department of Electrical and Electronics Engineering, Amrita School of Engineering, Amrita Vishwa Vidyapeetham, Coimbatore, India. Smart cities have been the vision for the country for a while, and one of the features for the development of a smart city is to develop a good mobility for transport with efficient car parking management systems. A good parking management system must assist people to find vacant parking slots and provide automatic on-line payment options, to reduce the traffic and to save time. In this paper, implementation of prototype of automatic e-ticketing and vehicle parking system is presented. The proposed system consists of automatic gate control, e-ticketing and vacant space monitoring, implemented using Raspberry Pi. Android application on user’s smart phone helps in easy user interface making the system, easy to use in real time scenario. 11 30 2019 2770 2773 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.A5235.119119 https://www.ijitee.org/portfolio-item/A5235119119/ Mohammed V University in Rabat, Materials, Energy and Acoustics TEAM, Morocco Ayoub BOUBEL* Said BOUSSHINE Mohammed V University in Rabat, Materials, Energy and Acoustics TEAM, Morocco. Mohammed GAROUM Mohammed V University in Rabat, Materials, Energy and Acoustics TEAM, Morocco. Adil AMMAR Mohammed V University in Rabat, Materials, Energy and Acoustics TEAM, Morocco. Absorbent materials it's an acoustic solution that can be used to control the reverberation time (RT) in deferent spaces as: conference rooms, in halls, theaters, cinema.... and also, it can be used in walls or ceilings of buildings to improve the acoustic insulation Which can be used for internal separations between spaces. This study focuses on the experimental study of the acoustic absorption coefficient of several granular food materials as a function of frequency 50 to 1600 Hz. All acoustic absorption tests performed in this study are performed by an acoustic impedance tube or Kundt tube. And to the knowledge of the author it is the first time in the literature that someone studies the acoustic behavior of this kind of materials. Several parameters were studied such as the effect of thickness on the sound absorption coefficient of the materials tested, like the influence of the grain form on the acoustic absorption by the introduction of a new parameter L / D, and finally the influence of density and type of material on the sound absorption coefficient. The objective of this work is to study the influence of the grain shape on the sound absorption coefficient, and that's why we have chosen these fifteen materials each one with its own shape. The results of these experimental tests show that when the sample thickness rises, the acoustic absorption coefficient rises too with a shift from resonance frequency to low frequencies. When the L/D parameter rises, the absorption behavior increases too in all frequencies mentioned. Finally, as the density of the tested material rises, the percentage of sound absorption of the materials also rises. 11 30 2019 4578 4583 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.A5237.119119 https://www.ijitee.org/portfolio-item/A5237119119/ Wawasan Group of Companies/Universiti Teknologi Petronas, Perak, Malaysia. Nor Haslinayati Abdul Ghafar Dr. Muslich Hartadi Sutanto Department of Civil and Environmental Engineering, Universiti Teknologi Petronas, Perak, Malaysia. Saeed Modibbo Saeed* Department of Civil and Environmental Engineering, Universiti Teknologi Petronas, Perak, Malayisa. Sri Sunarjono Department of Civil Engineering, Universitas Muhammadiyah Surakarta, Indonesia. Signalised intersection is an area where most of the drivers having dilemma in making decision to either pass through the intersection or stop when the light turns to yellow. During this phase, a sudden deceleration and incorrect estimate of intersection clearance time cause rear-end collision, severe right-angle crash and left-turn head-on collision. Therefore, the aim of this study was to determine the safe braking distance at signalised intersection by using the concept of stopping sight distance, so that a set of road marking and road sign can be proposed to help the driver in making decision within the dilemma zone. Samples of vehicle’s approaching speed were collected at a signalised intersection within the Ipoh-Lumut Highway in Perak Tengah. Statistical analysis showed that the observed 15th and 85th percentile speed at the intersection were 66.2km/h and 88.5km/h, with a mean and standard deviation of 77.5km/h and 9.99km/h. Goodness-of-fit tests showed that the distribution of the approaching speed at the intersection was normally distributed with a probability of 14.4%. It was concluded that safe braking distance from the stopping line of the signalised intersection is between 97m for lower speed limit to 152m for the upper speed limit. 11 30 2019 2774 2781 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.A5245.119119 https://www.ijitee.org/portfolio-item/A5245119119/ Assistant Professor, Department of CSE, Annamacharya Institute of Technology & Sciences, Rajampet, Andhrapradesh, India M.N. Prasad* A.Ramesh Babu Assistant Professor, Department of CSE, Annamacharya Institute of Technology & Sciences, Rajampet, Andhrapradesh, India A.Vijaya Krishna Assistant Professor, Department of CSE, Annamacharya Institute of Technology & Sciences, Rajampet, Andhrapradesh, India Dr.M.Rudra Kumar Professor & HOD, Department of CSE, Annamacharya Institute of Technology & Sciences, Rajampet, Andhrapradesh, India Disruption tolerant systems (DTNs) comprise of cell phones that get in touch with one another deftly. Because of the low hub thickness and erratic hub versatility, just discontinuous system availability exists in DTNs, and the consequent trouble of keeping up start to finish correspondence connections makes it important to utilize "convey and-forward" strategies for information transmission. Instances of such systems incorporate gatherings of people moving in a debacle recuperation zones, military war zones, or urban detecting applications. In this paper we propose a a decisive strategy for stock the information at Network Central Locations (NCLs), with different hubs. 11 30 2019 4430 4434 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.A5249.119119 https://www.ijitee.org/portfolio-item/A5249119119/ Department of CSE, Narula Institute of Technology, 700109, India Shubhendu Banerjee* Sumit Kumar Singh Department of CSE, Narula Institute of Technology, 700109, India. Atanu Das Department of CSE, Netaji Subhash Engineering College, 700152, India. Rajib Bag Department of CSE, Supreme Knowledge Foundation Group of Institutions, 712139, India. The concept of digitization has marked a revolution in the area of data conversion, data storage and data sharing by converting non-editable typographic & handwritten text into editable electronic text. Though numerous such works have been carried out across the world in various languages using Optical Character Recognition (OCR), satisfactory output has been observed only in a few languages. This paper is an endeavor towards taking a step ahead in the digitization of two of the most extensively spoken languages in the Indian sub-continent – Hindi and Bengali - using Google’s open source OCR Engine, Tesseract. Working on the scripts of these two languages of Brahmi origin has its own challenges owing to their varied traits of character segmentation and word formation. Here, the training of Tesseract with data sets of Hindi and Bengali typographic and handwritten characters has been integrated with an inimitable pre-processing stage involving input image customization and image augmentation that significantly enhances the image quality allowing Tesseract to offer more accurate results, especially in cases of handwritten texts and obscure images. Besides, it also incorporates the features of English translation and text to speech translation which render their significance among the non-natives and visually impaired mass. The focal idea of this paper has been to reach out to an extended mass by enabling digitization on the Android platform. Comparative analysis carried out on three distinctive parameters - on images with typographic texts, handwritten texts and on inferior quality images - shows that the paper, to a certain extent, does succeed in projecting superior output in at least two cases as compared to the most consistent Android application of today’s time. 11 30 2019 3507 3516 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.A5252.119119 https://www.ijitee.org/portfolio-item/A5252119119/ Department of Accounting and Audit, Odessa National Academy of Food Technologies, Odessa, Ukraine Larysa Ivanchenkova* Larysa Skliar Department of Accounting and Audit, Odessa National Academy of Food Technologies, Odessa, Ukraine Olha Pavelko Accounting and Audit Department, National University of Water and Environmental Engineering, Rivne, Ukraine Yuliia Cheban Department of Accounting and Taxation, Mykolaiv National Agrarian University, Mykolaiv, Ukraine Halyna Kuzmenko Audit and Taxation Department, Central Ukrainian National Technical University, Kropyvnytskyi, Ukraine Anastasiia Zinkevych Department of Accounting and Taxation, Ternopil National Economic University, Ternopil, Ukraine Based on the goal set in the beginning of the work and formulated tasks, the research is devoted to the study of theoretical and normative bases of accounting and analysis of innovative costs of the enterprise. The essence of innovation and innovation costs as an object of accounting and analysis is investigated. The actual problems of accounting of expenses on innovations are analyzed. The methodical bases of the enterprise innovative cost analysis are investigated. Investigating the current issues of accounting for innovation costs before accounting for innovation costs has identified a key direction - displaying innovation costs as a separate accounting entity. The study provides recommendations on how to improve accounting and analysis of innovation costs, namely, the authors proposed an accounting approach that provides for the preliminary creation of additional analytical sections on the expense accounts and in the accounts, which keep records of capital investment and proposed to analyze innovation costs as part of a comprehensive analysis of innovation activity of the enterprise. An algorithm for analyzing enterprise innovation has been developed, which includes five stages of analysis, a system of indicators for analysis of innovation, a statement of sources of financing of innovation-investment activity and a statement of the volume of innovation costs, which will provide a well-reasoned and reasonable estimate of costs. 11 30 2019 4003 4009 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.A5253.119119 https://www.ijitee.org/portfolio-item/A5253119119/ Department of Computer Science and Engineering, Vardhaman College of Engineering, Hyderabad, India. Nikitha Kumari* Prabhakar kandukuri Department of Computer Science and Engineering, Vardhaman College of Engineering, Hyderabad, India. It became a tedious task for the data analysts to make decisions on social networks. The existing approaches are not adequate to perform data pre-processing, analysis and decision making on the data dynamically. Therefore, this research aims to propose an approach to data analysis and decision making. The proposed approach emphasis on extracting tweets form twitter API (Application Program Interface), pre-processing the tweets by following seven pre-processing steps. The processed tweets are trained by NLTK (Natural Language Toolkit) and Text Blob are given to the sentiment analysis. Classification is done using the Naive Bayes algorithm to make a decision on processed tweets. The tweets which are related to “MeToo Movement” are considered primarily for decision making and satisfactory results are obtained. It is been observed that the proposed approach is accurate when compared to other approaches. 11 30 2019 4010 4015 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.A5255.119119 https://www.ijitee.org/portfolio-item/A5255119119/ Department of Civil & Environmental Engineering, Universiti Teknologi PETRONAS, Perak, Malaysia.. Aliyu Usman* Nurain Izzaty Department of Civil & Environmental Engineering, Universiti Teknologi PETRONAS, Perak, Malaysia. Rizwan Ibrahim Department of Civil & Environmental Engineering, Universiti Teknologi PETRONAS, Perak, Malaysia. Muslich Hartadi Sutanto Department of Civil & Environmental Engineering, Universiti Teknologi PETRONAS, Perak, Malaysia. Sri Sunarjono Department of Civil Engineering, Universitas Muhammadiyah Surakarta, Indonesia. Bitumen modification is done to enhance the properties of bitumen related to elasticity, temperature susceptibility, softening point etc. This research intends to assess the effects of natural rubber latex (NRL) in liquid form as a bitumen modifier. Conventional tests, temperature susceptibility and phase separation due to hot storage were investigated using two separate mixing speeds of 1200 and 1300 revolution per minutes (rev/min). Morphology due to the addition of NRL has also been explored utilizing Atomic Force Microscopy (AFM). NRL was incorporated into the bitumen by weight of the binder for the modification at three different amounts (i.e. 3%, 5% and 6%). Based on the softening point, penetration value, temperature susceptibility and storage stability the latex-modified asphalt binder were analyzed. Results of the investigation showed that owing to enhancement in viscoelastic properties, the latex-modified asphalt binder will not undergo phase separation during hot temperature storage. Meanwhile, a uniform dispersed network was indicated by the morphological analysis with the presence of three phases of para, peri and cata. It can be deduced from the results obtained that the latex-modified asphalt binders will perform better in terms of softening point, penetration value and susceptibility due to temperature. 11 30 2019 4435 4440 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.A5257.119119 https://www.ijitee.org/portfolio-item/A5257119119/ Department of Mechanical Engineering , PSNA College of Engineering and Technology, Dindigul, India. M. Kumaresan* K. Kannan Department of Mechanical Engineering, PSNA College of Engineering and Technology, Dindigul, India. P. Pandiarajan Department of Mechanical Engineering, PSNA College of Engineering and Technology, Dindigul, India. J. Yasin Department of Mechanical Engineering, PSNA College of Engineering and Technology, Dindigul, India. T. Pravinprabu Department of Mechanical Engineering , PSNA College of Engineering and Technology, Dindigul, India. In this industrial world, wide range of power operated machines is used for the production of springs. But this is the simple mechanism arrangement for the production of torsion and compression springs. This machine is operated by manual method. This machine can produce both the tension and compression springs of different Diameter and different length. It can make a spring with the help of the shaft. The wire which is used for producing the spring moves around the shaft to make a suitable spring. This self-movement is achieved by the keyway of the shaft. A handle is used to operate the rolling machine manually. The outer Diameter of the shaft is the inner Diameter of the spring. The torsion and compression spring is a mechanical device which is used to store energy and release it when needed. 11 30 2019 2782 2784 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.A5261.119119 https://www.ijitee.org/portfolio-item/A5261119119/ Dept. of CSE, Institute of Aeronautical Engineering, Dundigal, Hyderabad, India. N Greeshma* C Raghavendra Asst. Professor, Dept. of CSE, Institute of Aeronautical Engineering, Dundigal, Hyderabad, India. Dr. K Rajendra Prasad Professor and Head, Dept. of CSE, Institute of Aeronautical Engineering, Dundigal, Hyderabad, India. With the number of e-commerce websites being increasing rapidly, online shopping has become the trend nowadays. Though, online shopping is very easy; however, when it comes to product selection it is a tedious task and time consuming to identify which online site gives us the best price and offers. Comparing products and filtering them from each online site is a very time consuming task for a buyer. This paper uses the techniques of Web Scraping using python libraries like Beautiful Soup, requests, matplotlib for identifying the best prices and for deciding the best product deal to the customer from different online websites. Web scraping is an automated technique of extracting data from websites. In this paper, real time data is extracted from various e-commerce sites and compared automatically. Finally, the results are graphically displayed based on which the customer makes the appropriate decision. 11 30 2019 4441 4443 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.A5262.119119 https://www.ijitee.org/portfolio-item/A5262119119/ Department of Information Technology,Easwari Engineering College, Chennai, India. R. Priyatharshini* Aparajitha. K Department of Information Technology,Easwari Engineering College, Chennai, India. Aarthi. B Department of Information Technology,Easwari Engineering College, Chennai, India. Dhivya. N Department of Information Technology,Easwari Engineering College, Chennai, India. The ability to analyze and identify meaningful patterns in clinical data must be addressed to provide a better understanding of disease. Currently existing solutions for disease diagnosis systems are costly, time consuming and prone to errors, due to the diversity of medical information sources. Lung Disease Diagnosis individual is based on medical images (Lung CTs) includes Lung segmentation, and the detection of cancerous lesions in the Lung. Segmenting the region of interest from medical imaging is a challenge, since the images are varied, complex and can contain irregular shapes with noisy values.In this context, the segmentation of the Region of Interest from Lung CT and detecting the pre-cancerous lesions is an important research problem that is receiving growing attention. Hence an efficient methodology on ACM based automatic segmentation and precancerous lesion detection is proposed. 11 30 2019 4790 4794 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.A5265.119119 https://www.ijitee.org/portfolio-item/A5265119119/ Department of Computer Science & Engineering, Sreenidhi Institute of Science and Technology, Telangana, India. Gouni Ritthiika Reddy* Devavarapu Sreenivasarao Assistant Professor, Department of Computer Science & Engineering Department, Sreenidhi Institute of Science and Technology, Telangana, India. Shaik Khasim Saheb Assistant Professor, Department of Computer Science & Engineering Department, Sreenidhi Institute of Science and Technology, Telangana, India. Because of diverse benefits such as counting services on demand, decreasing costs, computing resources configuration, flexibility, services scalability, etc. over internet, Cloud Computing has become and is becoming widely and hugely accepted technology to provide services. On the other hand, privacy and security of a cloud has become an issue as this technology is tremendously emerging in the world. Many researches are being done and even some proposed various models to identify and overcome the privacy and security issues. In this review, for the cloud providers to use during different stages of cloud services, a layered cloud security and privacy model (CSPM) will be provided. The CSPM model allows to overcome cloud security issues and thus, providing safe and protected services. Lastly, countermeasures and security threats will be presented. 11 30 2019 2785 2791 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.A5272.119119 https://www.ijitee.org/portfolio-item/A5272119119/ Department of Electronics and Communication Engineering,GITAM University, Visakhapatnam, 530045, Andhra Pradesh, India. M.V.V.S. Prasad* T. Ranaga Babu Department of Electronics and Communication Engineering, R.V.R & J.C College of Engineering, Chowdavaram, 522019, Guntur, Andhra Pradesh, India. In this paper some efficient and low computation complex signal conditioning algorithms are proposed in distant health tracking applications, for improvement of the electroencephalogram (EEG) signal. Few artifacts are contaminated also mask small characteristics underlying EEG signal activity in medical environments during extraction of EEG signal. Low computational difficulty filters are appealing especially within distant healthcare surveillance. Therefore, we provided several effective and less computing adaptive noise cancellers (ANCs) in this work to improve EEG signal. Most of these techniques use easy addition as well as shift calculations also attain significant convergence performance compared to other standard techniques. Real EEG signals collected using emotional EEG systems are verified for proposed implementations. Using several performances measures our studies demonstrate that techniques suggested provides best performance than prevailing methods. This methodology is suitable in the analysis of brain computer interface (BCI) applications. 11 30 2019 4444 4448 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.A5277.119119 https://www.ijitee.org/portfolio-item/A5277119119/ Dean, Department of Mass Communication, Al Falah University, Dubai, UAE. Dr. Hassan Mustafa* This study aims to explore the role of social engineering in threatening cyber security by clarifying the concepts related to social engineering and its seriousness due to unlink to devices and equipment in general and its dependence on addressing the human psychic mechanisms known for curiosity. The study is based on the descriptive analysis studies that were based on the survey methodology using the questionnaire as a data collection tool, which was distributed to 98 respondents. The study found that the majority of the respondents had no idea about social engineering, and many of the females were rapidly clicking the links.. The study found that m these links can be attractive. The study found that there are significant differences between digital social engineering and hacking of phones and computers.. 11 30 2019 4016 4025 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.A5253.119119 https://www.ijitee.org/portfolio-item/A5253119119/ School of Information Technology and Engineering,Vellore Institute of Technology, Vellore, India, Usha Moorthy Usha Devi Gandhi* School of Information Technology and Engineering, Vellore Institute of Technology, Vellore, India, Artificial intelligence and expert systems plays a key role in modern medicine sciences for disease prediction, surveillance interventions, cost efficiency and better quality of life etc. With the arrival of new web-based data sources and systematic data collection through surveys and medical reporting, there is a need of the hour to develop effective recommendation systems which can support practitioners in better decision-making process. Machine Learning Algorithms (MLA) is a powerful tool which enables computers to learn from data. While many novel developed MLA constantly evolves, there is need to develop more systematic, robust algorithm which can interpret with highest possible accuracy, sensitivity and specificity. The study reviews previously published series on different algorithms their advantages and limitations which shall help make future recommendations for researchers and experts seeking to develop an effective algorithm for predicting the likelihood of various diseases. 11 30 2019 3517 3526 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.A5290.119119 https://www.ijitee.org/portfolio-item/A5290119119/ Associate Professor, Department of Electrical and Electronics Engineering, PVP Siddhartha institute of technology, Kanuru, Vijayawada, India.. Dr M V Ramesh Dr G Vijay Kumar* Professor, Ddepartment of Mechanical Engineering, PVP Siddhartha institute of technology, Kanuru , Vijayawada, India. At present there is a huge scarcity of skilled manpower in agricultural sector. Farmers have to look for the state of the art technology to carry out the cultivation activities to improve the productivity. A rapid progress in the technology has led to the development of modern techniques in farming and utilizes innovative technologies to overcome problems associated with the conventional methods. This paper addresses the design and fabrication of a seed sowing vehicle which is controlled by a microcontroller and powered by solar panel. 11 30 2019 4026 4031 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.A5293.119119 https://www.ijitee.org/portfolio-item/A5293119119/ Computer Science & Engineering, Noida Institute of Engineering & Technology, Greater Noida, India. Vineet Kumar* Dr. A. K. Sinha Director, UST Software India Pvt Ltd., New Delhi, India Dr. A. K. Solanki Department of Computer Science & Engineering, BIET, Jhansi, India. In this paper, we are showing how spiking neural networks are applied in image repainting, and its results are outstanding compared with other machine learning techniques. Spiking Neural Networks uses the shape of patterns and shifting distortion on images and positions to retrieve the original picture. Thus, Spiking Neural Networks is one of the advanced generations and third generation of machine learning techniques, and is an extension to the concept of Neural Networks and Convolutional Neural Networks. Spiking Neural Networks (SNN) is biologically plausible, computationally more powerful, and is considerably faster. The proposed algorithm is tested on different sized digital images over which free form masks are applied. The performance of the algorithm is examined to find the PSNR, QF and SSIM. The model has an effective and fast to complete the image by filling the gaps (holes). 11 30 2019 4449 4452 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.A5294.119119 https://www.ijitee.org/portfolio-item/A5294119119/ Senior Lecturer, Department of Textile and Clothing Technology, Faculty of Engineering, University of Moratuwa, Sri Lanka. TSS Jayawardana* RMVS Ratnayake Senior Lecturer in the Department of Textile and Clothing Technology, Faculty of Engineering, University of Moratuwa, Sri Lanka. K.A.U.P. Kumarapeli B.Sc. (Eng.),Department of Textiles and Clothing Technology from University of Moratuwa, Sri Lanka. Innovation is the key concept that drives creativity in to a reality. Irrespective of the field, striving for Innovation marks the survival as well as the success of any business. Innovation can be introduced for any stage of a supply chain in any organization, achieving the organizational strategies. It comes in different concepts according to its application across the supply chain. Perfect knowledge in innovation concepts and their categorization is crucial in applying them in the most effective way. Else would bring disastrous outcomes to the company which may even go bankrupt. This paper presents different innovation concepts, based on the literature, and attempt to establish their inter-relationship using the Graph Theory and the categorizing into main themes, with key innovation concepts related to each theme, using the Grounded Theory. Consistency of the categorization has been endorsed using the information collected through questionnaires. The data gathered following the Likert Scale have been illustrated in the graphs and furthermore tested according to Independent samples for Kruskal Wallis Test and a Hypothesis testing for all Innovation concepts. Sound knowledge on different innovation concepts, their interrelationships and categorization are imperative in constructive decision making, which enhances the ability of applying the most appropriate innovation concepts in the most effective way. Further categorizing of Innovation concepts will eliminate the confusions which may arise with the Innovations with similar concepts, but with different names. Precise application of the findings of this research across the Supply Chain would definitely support organizations for the survival and excel in the Business world, even bearing more opportunities in earning better ranks amongWorld’s most innovative Businesses. 11 30 2019 3572 3579 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.A5296.119119 https://www.ijitee.org/portfolio-item/A5296119119/ The Federal State Budget Scientific Institution, Institute of Art Education and Cultural Studies of the Russian Academy of Education, Moscow, Russia. Natalia Fomina* Leyla Pechko The Federal State Budget Scientific Institution, Institute of Art Education and Cultural Studies of the Russian Academy of Education, Moscow, Russia. Tatiana Koptseva The Federal State Budget Scientific Institution, Institute of Art Education and Cultural Studies of the Russian Academy of Education, Moscow, Russia. The article looks at the experience of identification and development of artistically gifted students in the framework of Soviet education in the 1920–1940s. The issue is examined in historical retrospective. The authors focus on the identification of children who are gifted in the sphere of visual arts. The research is based on the international collection of children’s drawings (1896–2017) at the FSBSI “Institute of Art Education and Cultural Studies of the Russian Academy of Education”. As a result of the research, the authors determined the preferable age for providing occupational guidance to children who are motivated for artistic creative activity. In addition, methods for identification of artistic giftedness have been suggested. 11 30 2019 4032 4036 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.A5299.119119 https://www.ijitee.org/portfolio-item/A5299119119/ Electronics & Communication Engineering (ECE) Department, Jawaharlal Nehru Technological University Hyderabad, Hyderabad, India. S.Bhargav Kumar* In this research work, the image is learned to find features to make use of during its analysis and a genetic apices based low power Ternary Content-Addressable Memory (TCAM) is designed to implement the proposed image learning system. A technique called Content Matching Search Register is proposed in this work to perform the image learning operations in proposed TCAM architecture. This paper proposes an ImOFF algorithm for image analysis. The focus of this multi-core TCAM (MC-TCAM) is to make fast computations and search based designs. The focus application of this research work is in the design of low power On-board Embedded-VLSI chip to perform image analysis. Proposed multi-core eight bit Ternary TCAM (MCEB-TCAM) is analyzed using IC design tools in 90nm technology, using Verilog hardware description language and usage of Cadence for layout generation and parasitic extraction of the circuit components. 11 30 2019 4037 4041 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.A5303.119119 https://www.ijitee.org/portfolio-item/A5303119119/ Department of Computer Application, Institute of Technical Education and Research, Siksha ‘O’ Anusandhan Deemed to be University, Bhubaneswar, Odisha, India, Biswa Mohan Acharya* Ajit Kumar Nayak Department of Computer Science and Information Technology, Institute of Technical Education and Research, Siksha ‘O’ Anusandhan Deemed to be University, Bhubaneswar, Odisha, India, Wireless Multimedia Sensor Networks (WMSNs) consists of set of sensor nodes which can capture multimedia data as well as scalar data from the target region and transmit to the base station. The type and nature of traffic generated in WMSNs leads to congestion and it can cause substantial loss of data packets, reduced throughput and wastage of energy. In order to overcome the challenge, a cross layer protocol which adjusts the rate of transmission is proposed in this paper. As per the information provided by the MAC layer regarding buffer availability and channel traffic condition, the proposed protocol adjusts the channel access along with transmission rate of the nodes. The simulation results reveal that the proposed protocol performs better than the existing protocols with respect to packet loss, throughput and energy. 11 30 2019 4042 4046 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.A5315.119119 https://www.ijitee.org/portfolio-item/A5315119119/ Federal State Budget Scientific Institution All-Russia Research Institute for Agricultural Microbiology RAS, St. Petersburg, Russia. Nikolai Vorobyov* Ivan Kochish Moscow state Academy of Veterinary Medicine and Biotechnology - MVA by K.I. Skryabin”, Moscow, Russia. Ilya Nikonov Moscow state Academy of Veterinary Medicine and Biotechnology - MVA by K.I. Skryabin”, Moscow, Russia. Yuri Kuznetsov St. Petersburg State Academy of Veterinary Medicine, Saint-Petersburg, Russia. Marina Selina Moscow state Academy of Veterinary Medicine and Biotechnology - MVA by K.I. Skryabin”, Moscow, Russia. Microbial communities in the intestines of birds self-organize to carry out joint biochemical actions and extract nutrients from plant substrates. Depending on the feed entering the intestine, the configuration of the microbial biosystem is regularly reconstructed, evenly distributing the enzymatic load between the microbial components. To assess the qualitative and quantitative indicators of these processes, it is proposed to calculate the index of fractal structures of microbial communities existing in the intestines of birds. The technique is based on a fractal analysis of the frequency spectrum of operational taxonomic units (OTU) of microbial communities obtained by the molecular genetic method. Initially, the initial OTU spectrum is converted into an abbreviated spectrum of OTU groups, in which each group combines OTE that are similar in frequency of occurrence. Next, a two-dimensional fractal portrait of the microbial community is constructed, on which each OTU group is represented by a point with coordinates that depend on the frequencies of these groups. A fractal portrait is necessary for conducting a topological analysis of the location of points on it and isolating fractal structures in the microbial community. As a fractal measure, the analysis uses triangles with vertices at the points of the OTU groups. At the same time, the smallest heights of the triangles are selected with the scale of the fractal measure. The construction of triangles and their arrangement in increasing order of scale of the fractal measure allows us to select the first triangles in a row, since they are triangles degenerate into a segment by a straight line. OTU groups included in degenerate triangles are the sought-after determined OTU groups belonging to fractal structures in the microbial community. Their share in the microbial community determines the index of fractal structures (IFS), which also takes into account the uniform distribution of the enzymatic load between OTU. In the experiment, the molecular genetic method of NGS was used to study microbial communities in the intestines of broilers of NGS using two types of probiotics. The obtained frequency-taxonomic spectra were used to calculate the IFS. An analysis of the results showed that probiotics affect the self-organization of microbial communities. 11 30 2019 2792 2795 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.A5318.119119 https://www.ijitee.org/portfolio-item/A5318119119/ Computer Science and Engineering Department, Institute of Technology, Nirma University, India Smt. Chandaben Mohanbhai Patel Institute of Computer Applications (CMPICA), CHARUSAT, Changa, India Lata Gohil* Dharmendra Patel Smt. Chandaben Mohanbhai Patel Institute of Computer Applications (CMPICA), CHARUSAT, Changa, India Emotion Analysis of text targets to detect and recognize types of feelings expressed in text. Emotion analysis is successor of Sentiment analysis. The latter does coarse-level analysis and classify the text into positive and negative categories while former does fine-grain analysis and classify text in specific emotion categories like happy, surprise, angry. Analysis of text at fine-level provides deeper insight compared to coarse-level analysis. In this paper, tweets are classified in discrete eight basic emotions namely joy, trust, fear, surprise, sadness, anticipation, anger, disgust specified in Plutchik’s wheel of emotions [1]. Tweets for three languages collected out of which one is English language and rest two are Indian languages namely Gujarati and Hindi. The collected tweets are related to Indian politics and are annotated manually. Supervised Learning and Hybrid approach are used for classification of tweets. Supervised learning uses tf-idf as features while hybrid approach uses primary and secondary features. Primary features are generated using tf-idf weighting and two different algorithms of feature generation are proposed which generate secondary features using SenticNet resource. Multilabel classification is performed to classify tweets in emotion categories. Results of experiments show effectiveness of hybrid approach. 11 30 2019 4453 4457 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.A5320.119119 https://www.ijitee.org/portfolio-item/A5320119119/ Assistant Professor of ECE, Karunya Institute of Technology and Sciences, Coimbatore, India. Mr. Shajin Prince* Mr. J. Samson Immanuel Assistant Professor of ECE, Karunya Institute of Technology and Sciences, Coimbatore, India. Dr. Manoj G M.Tech Degree, Karunya University, Coimbatore, India. Mr. A. Amir Anton Jone A Assistant Professor of ECE, Karunya Institute of Technology and Sciences, Coimbatore, India. Ms. Bini D research scholar in Karunya Institute of Technology and Sciences, Coimbatore. Voltage to frequency converters are used in various types of analog to digital converters in suitable digital audio applications. One of the applications is the Audio Interface which has been considered. The Voltage to frequency converter (VFC) thus plays a major role in the analog to digital conversion. This paper proposes a low power VFC designed in 0.18 μm technology which in turn is used to design a low cost and a high-resolution analog to digital converter (ADC). The analog signal is given to the V-F converter and the VFC output is given to the frequency counter using a suitable link. This counter gives the digital output. The design is implemented in PSoC and the performance is analysed with the previous technologies. Parameters such as sensitivity, output frequency and power consumption are analysed. This V-F converter and ADC are used in the digital audio interface which is used for audio applications. With the proposed VFC and ADC, the interface produced a good SNR compared to the conventional audio interfaces. 11 30 2019 4458 4464 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.A5321.119119 https://www.ijitee.org/portfolio-item/A5321119119/ Assistant Professor, Department of Mechanical Engineering, Karunya Institute of Technology and Sciences, Coimbatore, Tamilnadu – 641114, India. Dr. Lijin George* Dr.D.S.Robinson Smart Professor, Department of Mechanical Engineering, Karunya Institute of Technology and Sciences, Coimbatore, Tamilnadu – 641114, India. Mr. Vishnu Haridas Student, Department of Mechanical Engineering, Karunya Institute of Technology and Sciences, Coimbatore, Tamilnadu – 641114, India. A composite material contains different reinforcing elements added to the major material that forms the base matrix. In this work Aluminium 7075 matrix was reinforced with 12% TiB2and 4%, 6% and 8% Cr2O3 and the wear behavior of this composite was studied. The composite material was prepared by the process of stir casting. The rate of specific wear was measured for different reinforcements under varying velocity and load. The Scanning Electron Microscope images of the worn-out surfaces were used to investigate the wear pattern. The wear rate could further be extrapolated using fuzzy logic and were compared with the experimental results. 11 30 2019 4465 4468 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.A5323.119119 https://www.ijitee.org/portfolio-item/A5323119119/ PG Student Department of Construction Technology, VTU Regional centre for PG studies, Kalaburagi, India. Syed Md Kashif Ali* Brijbhushan S Assistant Professor, Department of Highway Technology, Visvesvaraya Technological University, Centre For PG Studies, Regional Office, Kalaburagi, Karnataka, India. Sharanamma S. K Assistant Professor Department of Civil Engineering, VTU Regional centre for PG studies, Kalaburagi, India. Concrete is a material which widely used in construction industry. The present investigation deals with the study of partial replacement of fine aggregate by Nylon Glass Granules in concrete. The fine aggregates are replaced by 0%, 10%, 20% and 30% by Nylon Glass Granules by volume of natural sand in M35 grade of concrete. Additionally, to increase the tensile strength of concrete 1% of Steel Fiber by volume of cement were added to all the mixes containing Nylon Glass Granules. The concrete produced by such ingredients were cured for 7 and 28 days to evaluate its hardened properties. The 28days hardened properties of concrete revealed that maximum strength is observed for the mix which possesses 20% replacement of fine aggregate by Nylon Glass Granules compared with the conventional concrete, thus it is said to be the optimum mix. 11 30 2019 4469 4474 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.A5325.119119 https://www.ijitee.org/portfolio-item/A5325119119/ Research Scholar, Department of Electrical Engineering of South Calcutta Polytechnic, India. Mr. Anubrata Mondal* Kamalika Ghosh Assistant Professor, Department of Engineering and Design, Jadavpur University, Kolkata, India. It is well known fact that light is associated with its neighbouring spectrum of Ultraviolet ray (UV ray). UV has deleterious effects upon living and non-living objects. In order to avoid this bad effect of UV some simplified methods to need to try out. Experimentation has been carried out with Incandescent lamp, Conventional Fluorescent lamp, Compact Fluorescent Lamp (CFL) and Light Emitting Diode (LED) lamps and separately UV content as well as illuminance at various distances have been measured. UV-measurement has been made by UV meter made through world reputed make- Konica Minolta, Japan and illuminance is measured by Lux-Meter. The observations have been shown in the main body of the paper which shows successful results as per expectations. The system can be adopted for Museum lighting where important archives can be saved from bad effects of emitted UV from the ambient light sources. This simple methodology can thus be adapted for indoor application in Museum lighting/ Heritage building lighting where archives can be easily conserved. 11 30 2019 4047 4052 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.A5326.119119 https://www.ijitee.org/portfolio-item/A5326119119/ Department of Chemical Engineering and Technology, Indian Institute of Technology (Banaras Hindu University) Varanasi, India. Agarwal N.* Verma A. K. Department of Chemical Engineering and Technology, Indian Institute of Technology (Banaras Hindu University) Varanasi, India. Bubble sizes in bubble column affect transfer processes. Therefore, it’s important to calculate bubble size and interfacial area. Bubble size distribution (BSD) in a bubble column of rectangular cross section with dimensions 0.2m x 0.02m was measured using photographic method (400 fps) for air-water system. Gas holdup, Sauter-mean bubble diameter, aspect ratio and specific interfacial area were estimated from BSD. Effect of superficial gas velocity and static bed height on these parameters was investigated. The bubble size distribution exhibited mono-modal distribution showing the presence of non-uniform homogeneous bubbling regime. The frames of video were analysed using image processing steps to obtain major and minor axis of elliptical bubbles. Values of d32, , and ai were estimated from the data. The value of d32 increased with increasing Ug but is independent of Hs. The values of d32 were somewhat higher than the values reported by other investigators. The value of ai increases with increasing Ug and with decreasing Hs. Present values of compared well with the data reported in literature. 11 30 2019 4475 4479 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.A5332.119119 https://www.ijitee.org/portfolio-item/A5332119119/ Department of Computer Science, Sri Sarada College for Women (Autonomous), Salem, Tamil Nadu, India. T. Dharani* Dr. I. Laurence Aroquiaraj Assistant Professor, Department of Computer Science, Periyar University, Salem, Tamil Nadu, India. In the internet technology world, all the information is considered as an image format only. Because one image is equal to a thousand words. Automatically increasing the image database size, high resolution and including multi-domain concepts. The human perception of getting the required image is very poor during the image retrieval process. In this case, the image retrieval system is consists of many problems like more time consuming, irrelevant results of the user. Registration is necessary to be able to compare or integrate the data obtained from different measurements of the query image. Image registration is that the method of reworking totally different sets of knowledge into one organization and orienting 2 or additional pictures of constant scene. This method involves designating one image because the reference image, conjointly known as the mounted image, and applying geometric transformations or native displacements to the opposite pictures so they align with the reference. To solve the above problems by using an automatic image registration methods. In this paper, we are mainly focusing the automatic image registration methods for multi-domain images for better human understating of required results. Finally, evaluate the performance of image registration methods with length, counts of matched points and uniformly distributed points of multi-domain images for better understanding. 11 30 2019 4053 4059 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.A5339.119119 https://www.ijitee.org/portfolio-item/A5339119119/ Department of ECE, LENDI Institute of Engineering and Technology, Vizianagaram, INDIA B. sridhar* S. Sridhar Department of ECE, LENDI Institute of Engineering and Technology, Vizianagaram, INDIA V. Nanchariah Department of ECE, LENDI Institute of Engineering and Technology, Vizianagaram, INDIA In the study of evaluation of infant brain development, the segmentation of obtained MR images is an important step. When compared with the MR images of adult brain it is difficult to identify the different regions in infant brains with that of the methods used for the analysis of adult brains. This is due to the size difference of the brain and the differences in the properties of the brain tissues. So, for analyzing these MR images it requires manual interaction with the images resulting in the bias of the results. For this problem we propose another approach for the segmentation of neonatal brain MR images. This method doesn’t require any manual interaction and produces unbiased results. Our algorithm segments the different layers (right hemisphere, left hemisphere, cerebellum, brain stem) and the different tissues like sub cortical gray matter, Militated & un mylinated gray matter and cerebrospinal fluid, resulting in the better understanding of the development of different parts of the brain. Our algorithm can be used for the analysis of MR images of infant brains of age as less as 3to6 months. 11 30 2019 4127 4132 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.A5340.119119 https://www.ijitee.org/portfolio-item/A5340119119/ Department of Computer Science & Applications, Maharshi Dayanand University, Rohtak, India. Hemlata* Preeti Gulia Department of Computer Science & Applications, Maharshi Dayanand University, Rohtak, India. In the current scenario of Big Data, open source Data Mining tools are very popular in business data analytics. The paper presents a comprehensive study of three most popular open source data mining tools – R, RapidMiner and KNIME. The tools are compared by implementing them on two real datasets. Performance is evaluated by creating a decision tree of the datasets taken. Our objective is to find the best tool for classification. The study can help researchers, developers and users in selecting a tool for accuracy in their data analysis and prediction. Experiments depict that accuracy level of the tool changes with the quantity and quality of the dataset. The results show that RapidMiner is the best tool followed by KNIME and R. 11 30 2019 4133 4144 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.A5341.119119 https://www.ijitee.org/portfolio-item/A5341119119/ Asst. Professor, Department of ECE, KKR & KSR Institute of Technology and Sciences, JNTUK, Kakinada. Sarala Patchala* Dr.M. Sailaja Professor, Department of ECE, JNTUK, Kakinada. The 5G communications are used with baseband Precoders and Beamforming. The Technology is needed to update, all available characteristics in the present Wireless Communication System (WCS). The Hybrid Beamforming systems are across in the RF and Digital domain. In the mmWave MIMO system, the numbers of antennas has increased to improve the Spectral Efficiency of the system. The proposed algorithms observe that system performance for different SNR range. 11 30 2019 4795 4799 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.A5343.119119 https://www.ijitee.org/portfolio-item/A5343119119/ Research Scholar, Centre for Information Technology and Engineering, Manonmaniam Sundaranar University, Abishekapatti, Tirunelveli-627012, Tamilnadu, India and Assistant Professor, Department of Computer Science and Engineering, Vel Tech Rangarajan Dr.Sagunthala R&D Institute of Science and Technology, Chennai. Raghavendran. S* P. Kumar Assistant Professor, Centre for Information Technology and Engineering, Manonmaniam Sundaranar University, Abishekapatti, Tirunelveli-627012, Tamilnadu, India. Darwin P Research Scholar, Centre for Information Technology and Engineering, Manonmaniam Sundaranar University, Abishekapatti, Tirunelveli-627012,Tamilnadu, India In this modern era the clinical laboratory have greater attention to produce an accurate result for every test particularly in the area of leaf disease. The leaf disease is very essential to detect. For the identification of leaf disease three phases are used. First phase is the segmentation and the segmentation used here is the Otsu’s threshold based segmentation. While using the Otsu’s threshold based segmentation we get better result when compared to the previous method. Second phase is the feature extraction here the feature is extracted using the ABCD feature. And the third or final phase is the classification. SVM classifier which is used to categorize the leaf disease separately. The simulations are done on MATLAB application. 11 30 2019 4145 4149 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.A5344.119119 https://www.ijitee.org/portfolio-item/A5344119119/ Structutal Engineering (Civil), VNR Vignana Jyothi Institute of Engineering and Technology, Hyderabad, India. D Sukumar Varma* Dr B Narendra Kumar Department of Civil Engineering, VNR Vignana Jyothi Institute of Engineering and Technology, Hyderabad, India. The aim of this research is to investigate the effect of different proportions of nano silica and polyethylene glycol 400 (PEG 400) on self-compacting high strength concrete. Finding out optimum content of nano silica, concrete mixes of proportions 0%, 1%, 2%, 3% of cement content (NSSCC). By substituting the optimum nano silica dosage in self-curing concrete mixes which contains PEG 400 in 0%, 0.5%,1%, 2%, 3% proportions of cement (SCSCC). The physical properties are measured in time and diameter for slump flow, V- funnel tests. Mechanical properties are performed in terms of compressive strength, split tensile strength and flexural strength. The experimental results are almost satisfied the EFNARC guidelines. Fresh properties of concrete has decreased as increasing nano silica proportions. Mechanical properties of SCSCC are less compared to NSSCC. 11 30 2019 3527 3530 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.A5347.119119 https://www.ijitee.org/portfolio-item/A5347119119/ Research Scholar, JNTUA – Anantapuramu-515002, Andhra Pradesh, Assistant Professor, Annamacharya Institute of Technology & Sciences, YSR Kadapa, – 516216, Andhra Pradesh. V. Mouneswaari* Dr. Rajesh Mamilla Associate Professor, VIT Business School, Vellore Institute of Technology, Vellore – 632014, Tamilnadu. Dr. T. Narayana Reddy Associate Professor, Department of Management Studies, Jawaharlal Nehru Technological University, Ananthapuramu-515002, Andhra Pradesh Productivity is one of the important measures which helps for growth and development of economy of the country. The productivity plays a crucial part in organizational achievement of excellence which is essential for dynamic society. Optimum productivity of a company depends on coordination between all inputs that yield maximum profitability with minimum effort. Hence the present study is focus on an objective of identify and compare the factors influencing the Productivity as well as Profitability Performance of select Public and Private sector banks in India. The sample consists of 20 Banks which were operating in India. The study period considered for the study is ten years from 2008-09 to 2017-18. The methodology which is used in the present study is Correlation analysis which helps to know the relationship between the select variables and Regression analysis is used to analyse the impact of select independent variables such as Sales Per employee, value added per employee, Profit before tax per employee, employee cost to sales and employee cost to value added on dependent variables like Return on Assets, Return on Equity and Value added per fixed assets. Further Independent sample test is used to assess the relationship between Productivity and Performance measures of select Public and Private sector Banks in India. Thus, the results from correlation analysis indicate that almost all the independent variables except Sales per employee and employee cost to sales have significant relationship with dependant variables in both Public sector and private sector banks. The Regression result shows that Sales per employee is having significant negative impact on Return on Assets, return on equity and Value added per fixed assets. Independent samples test reveals that the Private sector banks are showing superior performance than Public sector banks. 11 30 2019 4150 4155 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.A5351.119119 https://www.ijitee.org/portfolio-item/A5351119119/ department of Intelligent Technologies, Taras Shevchenko National University of Kyiv, Kyiv, Ukraine Domanetska Iryna Khaddad Anton department of Cybersecurity and Computer Engineering Kiev National University of Construction and Architecture Kyiv, Ukraine, Krasovska Hanna department of Intelligent Technologies, Taras Shevchenko National University of Kyiv, Kyiv, Ukraine, Yeremenko Bohdan* department of information technology design and applied mathematics, Kyiv National University of Construction and Architecture, Kyiv, Ukraine The paper is devoted to practical information security aspects in the corporate system. Particular attention is paid for the ensuring access control problem for corporate confidential information. Solving this problem involves identifying a person trying to gain unauthorized access to the corporate system and identification of a authorized user committing illegal actions. The paper shows that a person's keyboard handwriting is determined by behavioural characteristic, which is very difficult to imitate. This means that the person identification based on the keyboard handwriting analysis is the most reliable. It is necessary to consider the possibility of accidental uncontrolled change user’s keyboard handwriting settings when it works. Such changes can be caused by changes in physiological or emotional state. Using neural networks enables to perform analysis of handwriting keyboard considering these changes at the real time. Thus, the artificial neural networks using makes it possible considerably improves the security of corporate confidential information protection from authorized user committing illegal actions. Existing methods and algorithms for user identifying by his keyboard handwriting are focused on using a multilayer perceptron. However, FAM architecture and capabilities analysis of adaptive resonance theory has identified advantages such as the ability to form associative pairs and map the rules of fuzzy inferences to clusters of neural networks in this category. Considering these characteristics was decisive in choosing the neural network intelligent system for users identification by his keyboard handwriting style. As a result of the research proposed generalized architecture Corporate System Users Identification by the Keyboard Handwriting, based on the use of Cascade ARTMAP. The scheme of rules formation in Cascade ARTMAP and the knowledge base formation scheme of Users Identification Intelligent System by Keyboard Handwriting are proposed. 11 30 2019 4156 4161 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.A6101.119119 https://www.ijitee.org/portfolio-item/A6101119119/ Ph.D Research Scholar, Department of Computer Science, NGM College, Pollachi, India C.R. Durga Devi * Dr. R. Manicka Chezian Associate Professor, Department of Computer Science, NGM College, Pollachi, India The process of analyzing big data and other valuable information is a significant process in the cloud. Since big data processing utilizes a large number of resources for completing certain tasks. Therefore, the incoming tasks are allocated with better utilization of resources to minimize the workload across the server in the cloud. The conventional load balancing technique failed to balance the load effectively among data centers and dynamic QoS requirements of big data application. In order to improve the load balancing with maximum throughput and minimum makespan, Support Vector Regression based MapReduce Throttled Load Balancing (SVR-MTLB) technique is introduced. Initially, a large number of cloud user requests (data/file) are sent to the cloud server from different locations. After collecting the cloud user request, the SVR-MTLB technique balances the workload of the virtual machine with the help of support vector regression. The load balancer uses the index table for maintaining the virtual machines. Then, map function performs the regression analysis using optimal hyperplane and provides three resource status of the virtual machine namely overloaded, less loaded and balanced load. After finding the less loaded VM, the load balancer sends the ID of the virtual machine to the data center controller. The controller performs migration of the task from an overloaded VM to a less loaded VM at run time. This in turn assists to minimize the response time. Experimental evaluation is carried out on the factors such as throughput, makespan, migration time and response time with respect to a number of tasks. The experimental results reported that the proposed SVR-MTLB technique obtains high throughput with minimum response time, makespan as well as migration time than the state -of -the -art methods. 11 30 2019 4162 4171 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.A6102.119119 https://www.ijitee.org/portfolio-item/A6102119119/ School of Computing Science and Engineering, Vellore Institute of Technology, Chennai, India. Aarthi D* Viswanathan V School of Computing Science and Engineering, Vellore Institute of Technology, Chennai, India. Nandhini B School of Computing Science and Engineering, Vellore Institute of Technology, Chennai, India. Ilakiyaselvan N School of Computing Science and Engineering, Vellore Institute of Technology, Chennai, India. Question Answering is one of the most common applications for data acquisition. Although the majority of text-mining applications strive to improve the user experience and the tools used to find appropriate answers, the problems still exist because the web content is constantly increasing. The Questions Classification (QC) task is one of the main tasks in improving the classification system is to classify types of questions in the text mining application. A large number of QC methods are introduced to help resolve classification problems, most of which are bag of words approaches. In this project, we propose a QC system that uses Parts of Speech (POS) Tagger and Named Entity Recognition (NER) Tagger from the Stanford core Natural Language Processing (NLP) to classify the questions correctly. We started by cleaning the data by removing the available labels in the questions then we proceed by tagging the questions by splitting words and tagging each and every words in the input question with the POS Tagger. After this step, we will convert them into a pattern without changing the structure of the question. Then we proceed by tagging the question with NER Tagger. Finally, we will do confirmation process for certain question types which is performed by confirming question type module to make the system work efficiently. 11 30 2019 4172 4176 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.A6105.119119 https://www.ijitee.org/portfolio-item/A6105119119/ Research Scholar, Civil Department, Aarupadi Veedu Institute of technology,Chennai, India, B. Saravanan* Dr.D.S. Vijayan Associate Professor, Civil Department, Aarupadi Veedu Institute of technology, Chennai, India, The study which is involved in this research paper with partially replacement of Red-Mud in cements. By reading many research papers I found that many authors has commonly shown the mix design for M30 concrete mix. There are various tested has been done which compressive strength, split tensile strength and flextural strength. The author has different percentage of replacement of Red-Mud has done with cement. But commonly 15% has increased in all the three types of test and there are different results in there research. 11 30 2019 4177 4180 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.A6107.119119 https://www.ijitee.org/portfolio-item/A6107119119/ Department of Electrical and Computer Engineering, International Islamic University Malaysia, Gombak, Malaysia. Muhamad Farhan Mohd Pu’ad* Khairul Azami Sidek Department of Electrical and Computer Engineering, International Islamic University Malaysia, Gombak, Malaysia. Maizirwan Mel Department of Biotechnology Engineering, International Islamic University Malaysia, Gombak, Malaysia. Technology today had advanced rapidly for the betterment of our life. However, agriculture seems to be left behind in the rapid progress. With the growing population nationwide, more food is required especially in the agriculture sector. Aquaponics is an efficient approach for food production which combines plant and fish farming together. In aquaponics, water quality especially the water’s pH level is crucial to be monitored regularly to ensure the fishes are in good health. However, measuring the pH level routine is no longer efficient today since the availability of technology. This study proposed a portable water quality monitoring system which currently only measures the water’s pH level since it is the most important parameter in water quality. Mainly, the system uses WeMos board and Message Queuing Telemetry Transport (MQTT) protocol for data processing and sending it to a Raspberry Pi (base station) for storage and visualisation. The device has been successfully tested at the Malaysian Institute of Sustainable Agriculture (MISA). website. The device was proven waterproof and floatable. It also can run for about 89 hours on battery only without solar panel. However, there is always area for improvement which includes adding more sensors to optimise usage of the device and also a Liquid-Crystal Display (LCD) screen for user convenience. Nonetheless, this is a step towards modernising the agriculture sector. 11 30 2019 4181 4184 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.A6108.119119 https://www.ijitee.org/portfolio-item/A6108119119/ School of Computer and Communication Engineering, Universiti Malaysia Perlis, 01000 Kangar, Perlis, Malaysia. Rozmie R. Othman* Abdulkarim S. M. Ali School of Computer and Communication Engineering, Universiti Malaysia Perlis, 01000 Kangar, Perlis, Malaysia. Yacob Y.M School of Computer and Communication Engineering, Universiti Malaysia Perlis, 01000 Kangar, Perlis, Malaysia. Jalal Mohammed Hachim School of Computer and Communication Engineering, Universiti Malaysia Perlis, 01000 Kangar, Perlis, Malaysia. The adaptive firefly algorithm (AFA) is developed based on an elitism operator. Elitism operators can perform the function of updating the effectiveness of diversification in a search algorithm. In this study, a strategy was proposed to upgrade the FA concerning static issues. Most traditionally, for evolutionary algorithms, elitism suggests that the best solution found is utilized to work for the next generation. Elitism involves the replication of a small set of the fittest candidate solutions, which remain unaltered, into succeeding generations. The condition can radically impact execution time by ensuring that the El waste no time on re-finding newly-disposed partial solutions. Candidates who stay protected and unmodified via elitism all meet the requirements for parent selection in terms of rearing the remainder of the succeeding generation. This study used different tuning parameters, such as the number of fireflies, iterations and switching probability. To ensure that AFA could perform for t-way testing as useful as other strategies to generate the best performance. Considering the standard covering array (N, 2, ) it demonstrates the tuning parameters for AFA to improve elitism. In this paper, the Findings show that AFA, as well as t-way testing, can deliver the minimum requirements and sufficient results 11 30 2019 4185 4191 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.A6111.119119 https://www.ijitee.org/portfolio-item/A6111119119/ Dept.of Microbiology, Taywade College, Koradi, Maharashtra, India. Vaishali Pimple* Archana Kulkarni Dept.of Microbiology, Dharampeth M.P.Deo Memorial Sci. College, Nagpur. Maharashtra, India. Suvarna Patil Dept.of Microbiology, Taywade College, Koradi, Maharshtra,India. Sanjay Dhoble Dept.of Physics,R.T.M. Nagpur University, Nagpur, Maharshtra,India Antibiotic resistance is the most challenging problem of concern globally and this is invigorating the need of newer antimicrobial products with potential antimicrobial properties. Plant products, especially plant essential oils produce a large array of secondary metabolites as natural antimicrobials. Use of nanotechnology can add advantages to enhance the antibacterial properties of these essential oils. Present study is focused on development of nanoemulsions from plant essential oils and to study their antibacterial activities. Tea Tree Oil, Thyme Oil, Clove leaf and Cinnamon Essential Oils nanoemulsion was formulated using Tween 20 and Tween 80 respectively using probe ultrasonicator. All the formulated Nanoemulsions were then subjected to physicochemical characterization, stability studies and tested for antibacterial activities using Agar-well diffusion method. Stable nanoemulsion formulation with maximum antibacterial activity then subjected to droplet size measurements and polydispersibility index study. Increase in surfactant concentration resulted in reduction in droplet size when ultrasonication time was constant. Cinnamon oil nanoemulsion 20C4 & 80C4 with pdi index 0.573 and 0.382 and droplet size 272.3nm and 133.6 nm respectively demonstrated maximum antibacterial activity in Agar-well diffusion method against S.aureus, E.coli, and S.typhi. When both nanoemulsions were exposed to bacterial growth curve inhibition study. No potential rise in optical density of test pathogens were observed. The inhibition of bacterial growth may be due to killing action of cinnamon oil nanoemulsion formulations to initial bacterial inoculum added to nutrient broth. The study suggests that nanoemulsion formulations from plant essential oils can be used as natural antimicrobials in variety of products. 11 30 2019 4800 4808 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.A6112.119119 https://www.ijitee.org/portfolio-item/A6112119119/ School of Mechanical Engineering, KIIT Deemed to be University, Patia, Bhubaneswar, Odisha, India. Akhilesh Kumar Tiwari Arnab Guha School of Mechanical Engineering, KIIT Deemed to be University, Patia, Bhubaneswar, Odisha, India. Anish Pandey* School of Mechanical Engineering, KIIT Deemed to be University, Patia, Bhubaneswar, Odisha, India. In this article, the Minimum Fuzzy Rule-Based (MFRB) sensor-actuator controller has designed for dynamic motion planning of a differential drive wheeled robot among the moving, non-moving obstacles and goal in two-dimensional environments. The ring of ultrasonic sensors and infrared sensors have been attached on the front side, left side, and right side of the wheeled robot, which detects the moving obstacles, as well as non-moving obstacles in any environment. This proposed MFRB sensor-actuator controller helps the wheeled robot to move safely in a different scenario. The onboard sensor interpretation data are fed as input to the MFRB controller, and the MFRB controller provides the Pulse Width Modulation (PWM) based wheel velocity commands to both the left and right motors of a wheeled robot. In the numerical simulation and experiment, we have taken one condition that the speed of wheels of the differential drive wheeled robot is at least more than or equal to the rate of the moving obstacles and the moving goal. The numerical simulations are performed through a MATLAB graphical user interface (GUI), and we have used the differential drive wheeled robot to conduct experiments. The presented numerical simulation and experimental results illustrate that the MFRB controller operated wheeled robot has successfully avoided the stationary and non- stationary obstacles in various scenarios. 11 30 2019 4192 4198 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.A6114.119119 https://www.ijitee.org/portfolio-item/A6114119119/ Associate Professor, School of Law, Presidency University, Bangalore, India. Dr. Arab Mohammed Shamiulla* Artificial Intelligence (AI) is a buzz word in the cyber world. It is still a developing science in multiple facets according to the challenges thrown by 21st century. Use of AI has become inseparable from human life. In this day and age one cannot imagine a world without AI as it has much significant impact on human life. The main objective of AI is to develop the technology based activities which represents the human knowledge in order to solve problems. Simply AI is study of how an individual think, work, learn and decide in any scenario of life, whether it may be related to problem solving or learning new things or thinking rationally or to arrive at a solution etc. AI is in every area of human life, naming a few it is into gaming, language processing, speech recognition, expert system, vision system, hand writing recognition, intelligence robots, financial transactions and what not, every activity of human life has become a subset of AI. In spite of numerous uses, AI can also used for destroying the human life, that is the reason human inference is required to monitor the AI activities. Cyber crimes has become quite common and become a daily news item. It is not just a problem faced in one country, it is across the world. Without strong security measures, AI is meaningless as it can be easily accessible by others. It has become a big threat for governments, banks, multinational companies through online attacks by hackers. Lot of individual and organizational data is exploited by hackers and it becomes a big threat to the cyber world. In this connection research in the area of AI and cyber security has gained more importance in the recent times and it is ever lasting also as it is a dynamic and sensitive issue linked to human life. 11 30 2019 4628 4630 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.A6115.119119 https://www.ijitee.org/portfolio-item/A6115119119/ Research Scholar, School of Computer Science, Engineering and Applications, Bharathidasan University, India, Ranjini A* B.S.E. Zoraida Assistant Professor, School of Computer Science, Engineering and Applications, Bharathidasan University, India, Satisfying consumer’s electricity demand at peak hours is an important problem in smart grid. From the perspective of consumers, the residential electricity consumption scheduling would aim to minimize the electricity cost and also wish to maintain their comfort. In contrast, the power utilities concentrate on to flatten the peak loads in the electricity demand. In this paper, both the viewpoints are taken into consideration while scheduling the residential appliances in smart grid. The Self Adaptive Mutated Particle Swarm Optimization Algorithm is proposed for solving the above problem. Simulations have been carried out and the results are compared with the Non-Dominated Sorting Genetic Algorithm II. From the results obtained, it is clearly proved that the proposed algorithm provides better schedules for the smart home, with minimized electricity cost and least Peak-to-Average Value whereas maximizing the user comfort. Moreover, the proposed algorithm shows its effectiveness with the increase in problem size. 11 30 2019 4199 4208 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.A6116.119119 https://www.ijitee.org/portfolio-item/A6116119119/ Department of Computer Science and I.T., Dr. Babasaheb Ambedkar Marathwada University, Aurangabad, India. Vijaykumar Nayak* Ratnadeep Deshmukh Department of Computer Science and I.T., Dr. Babasaheb Ambedkar Marathwada University, Aurangabad, India Swapnil Waghmare Department of Computer Science and I.T., Dr. Babasaheb Ambedkar Marathwada University, Aurangabad, India. Autism Spectrum Disorder (ASD) is a multifaceted neurodevelopmental condition. Atypical communication mostly occurs in tandem with ASD. We compared voice pitch of 16 Marathi children and adolescents with ASD of age of 7 to 18 with 27 Typically Developing (TD). Speech samples have been recorded and stored in .wav format with sampling frequency of 48000 Hz. For analysis we used PRAAT, a program for speech analysis, manipulation and synthesis. We divided the ASD and TD group into total 4 groups on basis of age and gender for comparison. We found that differences in voice pitch are present in these comparison groups, and male ASD group have more pitch variation than respective comparison groups. In future we look forward to include more ASD participants in study to increase the Marathi speech database for ASD. 11 30 2019 4209 4212 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.A6119.119119 https://www.ijitee.org/portfolio-item/A6119119119/ Department of Computer Science, Periyar University, Salem, India. V Mageshwari* Dr. I. Laurence Aroquiaraj Department of Computer Science, Periyar University, Salem, India. People can share their thoughts and opinion through Social Media which can easily widespread. So many public issues and political views are also discussed on social media. HIV/AIDS is also one of the important topics discussed. This work aims to classify HIV/AIDS related twitter data. Since the twitter data is highly dimensional, it is essential to do reduce dimensionality of the data to attain better classification results. Tweets are collected using keyword search and necessary pre-processing steps are carried out. Then feature extraction methods such as Bag of Words (BOW) model and TF-IDF are implemented. Singular Value Decomposition (SVD) and Principal Component Analysis (PCA) techniques are used for dimensionality reduction. Finally, classification is carried out and the results are discussed. 11 30 2019 4060 4064 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.A6120.119119 https://www.ijitee.org/portfolio-item/A6120119119/ Research Scholar, Dept. of Mechanical Engg., Koneru Lakshmaiah Education Foundation, Vaddeswaram (A.P.) India. Mr. V. S. Jagadale Dr. S. N. Padhi* Professor, Department of Mechanical Engineering, Koneru Lakshmaiah Education Foundation, Vaddeswaram (A.P.) India. This work is done in order to determine the influence of flyash on mechanical properties and fracture analysis. The carbon (ash) particles independently integrated with coir fiber polymer composites. The test samples were manufactured with different dimensions of coir fiber such as the powder's size, content and mesh size. Tension, compression, impact and flexural tests are carried out in the composite materials prepared according to the ASTM techniques. Using SEM photos, the fracture faces are analyzed. It was inferred from the final results that ash powder composite provides good flexural and tensile strength than without ash powder composite, while ash powder composite material provides good impact strength and compressive strength with increase in content of ash particles. 11 30 2019 3531 3535 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.A6124.119119 https://www.ijitee.org/portfolio-item/A6124119119/ Professor, Department of Mechanical Engineering, PSNA College of Engineering and Technology, Dindigul Dr.S. Raja* Dr.K. Muralidharan Professor, Department of Mechanical Engineering, PSNA College of Engineering and Technology, Dindigul S.. Karthik Assistant Professor, Department of Mechanical Engineering, PSNA College of Engineering and Technology, Dindigul K. Rajasuthan Assistant Professor, Department of Mechanical Engineering, PSNA College of Engineering and Technology, Dindigul Cell formation is to construct machine cells and part families and then dispatch the part families to machine cells. Various cell formation approaches and algorithms have been developed over the years considering various production factors, scenarios and objectives. The results of these different approaches are evaluated based on the several parameters. Most of the studies have considered only either the operation sequence or the alternative routing. Very few of the approaches have proposed for considering both the operation sequence and the alternative routing. Here, a new method for the formation of cell and intracellular machine arrangement which is formulated by considering both the operation sequence and alternative process routings is proposed. The arrangement of machines and parts within the cell follows a specific sequence which is formed with the help of coefficient of similarity. Various parameters such as forward flow, backflow and voids in the cell formation scenarios are considered to evaluate the approach. With the help of these parameters problems from other literatures, which were solved by other methods are evaluated. So as to validate the effectiveness of our proposed approach, five eminent test problems from the previous literature are engaged and the results are compared with the existing method the results clearly display that the proposed approach which that provides superior or equal solution than the existing method. 11 30 2019 4065 4072 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.A6125.119119 https://www.ijitee.org/portfolio-item/A6125119119/ Assistant Professor, Department of Computer Science, SRM Institute of Science and Technology, Ramapuram Chennai, India. Elakya. R* Prateek Kumar Singh B.Tech, Department of Computer Science, SRM Institute of Science and Technology, Ramapuram Chennai, India. Himanshu Bafila B.Tech, Department of Computer Science, SRM Institute of Science and Technology, Ramapuram Chennai, India. Aman Kumar B.Tech, Department of Computer Science, SRM Institute of Science and Technology, Ramapuram Chennai, India. Skin cancer growth is viewed as one of the most Hazardous type of the Cancers found in Humans. Nowadays skin cancer is found in different kinds for example Melanoma, Basal and Squamous cell Carcinoma among which Melanoma is the generally flighty. The detection of Melanoma disease in beginning period can be helpful for cure it. Computer vision can play big role in Portrayal Analysis also it has been examined by many existing frameworks. In this paper, we present a Computer helped strategy for the recognition of Melanoma Skin Cancer utilizing Image Processing instruments. The contribution to the framework is the skin lesion picture and after that by applying novel picture preparing strategies, it investigates it to finish up about the nearness of skin malignancy. The Lesion Image investigation instruments checks for the different Melanoma parameters Like Asymmetry, Border, Color, Diameter,(ABCD) and so on by surface, size and shape examination for picture division and highlight stages. The extricated highlight parameters are utilized to characterize the picture as Normal skin and Melanoma cancer growth injury. 11 30 2019 4073 4076 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.A7101.119119 https://www.ijitee.org/portfolio-item/A7101119119/ Research Scholar, Department of Electrical Engineering, Annamalai University, Chidambaram, Tamil Nadu. G. Tejaswi* Dr. S. Ramesh Kumar Assistant Professor, Department of Electrical Engineering, Annamalai University, Chidambaram, Tamil Nadu. Dr. Ch. Ravi Kumar Assistant Professor, Department of Electrical & Electronics Engineering, Acharya Nagarjuna University, Guntur. This paper presented a seven level Photovoltaic (PV) solar cell system & Fuel cell designed in support of grid connected network by employing Pulse Width Modulation control scheme. The input power source comprises of PV source & Fuel cell. Modified MPPT algorithm (P&O) is use just before take out the maximum control from Photo voltaic system. The structure of the circuit is multi modular towards convert dc input voltages to dc output voltages among low rate devices at low duty cycle. A Proportional Integrate controller is to be implementing for multilevel inverter operating & closed loop analysis is done. One reference signal is to be impossible to tell apart to each other by means of an balance equivalent towards the triangular signal are used to make PWM signals intended for the switch. In the Proposed system will be verified during MATLAB/Simulink. The tentative result is compared among the predictable distinct phase seven level grids connected with Pulse Width Modulation generator. 11 30 2019 4584 4589 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.A7102.119119 https://www.ijitee.org/portfolio-item/A7102119119/ Department of Civil Engineering, Mewar University Chittorgarh, India Er. Puneet Jain* Lasmar Garba Department of Civil Engineering, Mewar University Chittorgarh, India. The study investigates the attitude of construction firms operating within Kano metropolis towards safety provision for workers on site. In achieving these objectives Investigatory Survey Research Approach Method (ISRAM) was adopted and used in order to obtain quantitative and qualitative data. Questionnaires were distributed to various construction companies within Kano metropolis, the totals of eighty (80) copies were distributed and fifty eight (58) copies were retrieved. Data collected were found suitable. And were analyzed using Software statistical package (SPSS). From the analysis the result revealed that there is negligence in the attitude of construction companies towards safety and stricter regulations have to been forced. Dissemination of information on safety techniques would reduce accident on site and increase the worker’s moral for better performance in turns to reducing overrun cost. Ineffectiveness of government policy on safety measure especially in construction work was found to have contributed to low productivity by workers on site, since they don’t have access to any claim even when accident occurred on sites. Archaeologists have discovered thousands of bodies buried in the foundation of the wall. Bodies were also used to make up the wall’s thickness. It has been estimated that millions of workers lost their lives due to accident, intense physical labor, starvation and disease. This is in order of magnitude of life per meter of wall length. Therefore, safety in mission statement of large construction firms or companies is not common (Amaechi, 1990). Execution is supported by correlation; some of these correlations were by organizations such as Independent Project Analysis (IPA). It has been statistically proven that there is correlation between good front end loading and safety performance of good front end loading. 11 30 2019 4213 4217 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.A7105.119119 https://www.ijitee.org/portfolio-item/A7105119119/ Pursuing M.Tech (CSE), Guru Nanak Dev University, Amritsar. India Jasmine Attri* Prabhpreet Kaur Assistant Professor, Department of Computer Engineering and Technology ,Guru Nanak Dev University, Amritsar, India. Cloud computing present comprehensive way for the user to interact with resources that they didn’t possess. Using cloud computing, resources can be accessed on pay per use basis. Mass community of user access resources from cloud and due to presence of sensitive information presents within cloud, security mechanism become need of the hour. This paper discusses security mechanisms used within cloud along with shortcomings and future enhancement of each technique. DNA encryption mechanism is discussed in detail along with research gap and problem definition. Collision problem is discovered from DNA encryption and its rectification using future enhancement process of folding with chaining is also presented through this literature. Results obtained in terms of parameters such as key size and execution time is presented in tabular structure. DNA encryption with folding method has least execution time in key formation but collision problem hamper performance of DNA encryption. Parameters such as throughput, key size and execution time must be enhanced through collision detection mechanism and discussed through this literature. 11 30 2019 4218 4222 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.A7110.119119 https://www.ijitee.org/portfolio-item/A7110119119/ Chitkara University Institute of Engineering and Technology, Chitkara University, Punjab, India. Harinder Kaur* Dr.Navjot Kaur Department of Computer Engineering, Punjabi University Patiala, India. Dr.Nirvair Neeru Department of Computer Engineering. Punjabi University Patiala, India. Automatic organ segmentation plays an important role in clinical procedures such as planning of radiation therapies and in computer-aided diagnostic systems. Several state-of –art techniques are available for multiorgan segmentation, however deep learning methods are doing exceptionally well and become the methodology of choice to analyze medical images. This intensively carried out work is conducted for deep learning methods applied on various organs in abdominal CT images. Firstly, this paper formulates segmentation, semantic segmentation problem and their methods. Secondly, multiorgan detection techniques based on deep learning along with their contributions, chosen datasets and gaps are discussed. It presents the metrics used to evaluate these methods. Finally, interesting conclusions has been drawn which will add to do future work using deep learning. 11 30 2019 4590 4594 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.A7116.119119 https://www.ijitee.org/portfolio-item/A7116119119/