-4d90550d17f4602e089-46c8 20220419043030980 beie:beie director@blueeyesintelligence.org WEB-FORM International Journal of Innovative Technology and Exploring Engineering IJITEE 22783075 10.35940/ijitee https://www.ijitee.org/ 04 30 2020 9 6 Assistant Professor, Vishnu Institute of Technology, Bhimavaram, Andhra Pradesh, India. Prudhvi Raj Budumuru* Madhusudan Donga Assistant Professor, Vignan’s Institute of Information Technology, Vishakhapatnam, Andhra Pradesh, India. Asha Korada Associate Professor, Bhimavaram Institute of Engineering and Technology, Bhimavaram, Andhra Pradesh, India. Numerous filtering methods are proposed for Impulse noise removal, it is an important task in the field of image restoration. The familiar spatial domain algorithm to remove impulse noise is Standard Median Filter (SMF). Most of the existing algorithms are based on median filtering and recent algorithms are Modified Hybrid Median Filter (MHMF) and New Modified Hybrid Median Filter (NMHMF). These two are worked up to 20% noise density. In this paper proposed a new` algorithm for impulse noise removal above 20% noise density conditions with different samples of images. The implementation of proposed method compares with known existing methods by comparing Mean Square Error (MSE) and Peak Signal to Noise Ratio (PSNR). 04 30 2020 1305 1309 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.F4027.049620 https://www.ijitee.org/portfolio-item/F4027049620/ M.Tech, ECE department, Asst. professor of Bapatla Women’s Engineering College, Acharya Nagarjuna University, Andhra Pradesh, India M. Bhavani* S. Navya Sri ECE department, Bapatla Women’s Engineering College, Acharya Nagarjuna University, Andhra Pradesh, India. M. Venkata Sumathi ECE department, Bapatla Women’s Engineering College, Acharya Nagarjuna University, Andhra Pradesh, India. T. Venkata Bhargavi ECE department, Bapatla Women’s Engineering College, Acharya Nagarjuna University, Andhra Pradesh, India. K. Mounika ECE department, Bapatla Women's Engineering College, Acharya Nagarjuna University, Andhra Pradesh, India. P. Hema ECE department, Bapatla Women's Engineering College, Acharya Nagarjuna University, Andhra Pradesh, India. V. Mounika ECE department, Bapatla Women's Engineering College, Acharya Nagarjuna University, Andhra Pradesh, India. Now a day's population is increasing day by day. Due to increase in population usage of vehicles and the traffic at parking lot also increases. For this reason getting a parking spot is very difficult and time consuming for the car drivers. So to reduce this difficulty we are proposing a system called "Baground subtraction method based smart parking system using image processing". This paper is mainly concerned to develop smart parking system on a credit card sized computer and camera is fitted at a parking lot to show availability of a parking place. The image processing can be performed on a Raspberry pi interface with Things view cloud platform through an API to detect cars. Rasperry Pi posts data to the Things view cloud, Showing that the internet of things(IOT) based parking system. Availability of parking slot can be viewed in drivers mobile and they can book the parking slot from their mobile by using an app. 04 30 2020 1939 1844 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.F4030.049620 https://www.ijitee.org/portfolio-item/F4030049620/ Depaartment of Electronics and Telecommunication, Yeshwantrao Chavan Collge of Engineering, Nagpur, India Prof. M. L. Keote* Indrayani Rewatkar Department of Electronics and Telecommunication, Yeshwantrao Chavan College of Engineering, Nagpur, India Samiksha Shankarpure Department of Electronics and Telecommunication, Yeshwantrao Chavan College of Engineering, Nagpur, India, Sayma Shete Department of Electronics and Telecommunication, Yeshwantrao Chavan College of Engineering, Nagpur, India Mrunal Bhuskade Department of Electronics and Telecommunication, Yeshwantrao Chavan College of Engineering, Nagpur, India The proliferation of online shopping has introduced a number of problems for the customer not present in what we might call the traditional shopping experience. One of the challenging issue is how to handle the receiving of a parcel when not at home. This paper introduces the Smart parcel receiving System by introducing technology into common man’s life by exploiting the adancements in GSM technology which will solve the problem of missed deliveries, providing a smart and secure parcel delivery solution that we can monitor and control from our smartphone.The idea is to introduce a Smart Parcel Receiving System which will be able to verify and accept the ordered parcel as well as acknowledging the customer and the e-retailers of parcel. 04 30 2020 960 965 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.F4031.049620 https://www.ijitee.org/portfolio-item/F4031049620/ Dept. of Civil Engg, GNDEC Bidar, Karnataka, India Manoj Kumar* Suresh .G. Patil Dept. of Civil Engg, PDACE Kalburgi, Karnataka, India This article provides performance of two way slabs under punching shear. The two way slabs are cast with dimensions of 600x600x75mm and to cast the slabs geopolymer concrete along with micro (13mm length (small fiber)) and macro steel fibers (50mm length (big fibers)) were used. Total four mixes were taken to the present study and for each mix three slabs were cast. The first mix without fibers, second mix with small fiber, the third mix with big fiber and fourth mix with small and big fibers are taken to the present study. All the slabs were tested under single point concentrated load and load is placed at the center of the slab. From the experimental investigation it is obvious that, the slab with combination of small and big fibers showed superior performance among all and it showed 157.1% higher strength carrying capacity than the slab without fibers. 04 30 2020 1343 1347 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.F4033.049620 https://www.ijitee.org/portfolio-item/F4033049620/ Assistant Professor, Department of EIE, Arunai Engineering College, Tamilnadu, India. V. Velmurugan* Dr.N.N. Praboo Assistant Professor, Department of EIE, Annamalai University, Tamilnadu, India. Pressure process in industry is inevitable and is considered with foremost importance in many processes like boilers, pressure vessels, reactors, closed vessels, steam drums and flash points. Pressure measurement and control is important requirements of all process, since it is related to safety of the human resources and equipment. So in this work an Air Pressure System (APS) is considered for investigation. Over the years an increasing attention made on fractional order controller and dynamic systems using fractional order calculus. Its theoretical and practical interests have been confirmed today, and its relevance to engineering society can be think carefully about as developing scientific avenue. This project discusses the design and implementation of generations of CRONE controller for APS. The Mathematical model of APS is determined from the various operating regions by using worst case modeling technique. The three generations of the strategy of CRONE control are designed based on worst case model. Simulation runs of set point tracking responses are documented. The time domain and integral error indices performances are obtained and compared on strategies of the generation CRONE controller. It is noticed that Third Generation CRONE (TGC) controller outperforms provide better performance than the other generations of CRONE controller. 04 30 2020 966 971 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.F4036.049620 https://www.ijitee.org/portfolio-item/F4036049620/ Teaching Asst, Dep of CSE, SRM University, AP, India. T Purnima* Chandu Delhipolice Assistant Professor, Priyadarshini Institute of Technology & Science. Tenali, A.P. K. Sarada Research Scholar, Dep of IT, VFSTR, Vadlamudi, AP Data Mining is a method for detecting network intrusion detection in networks. It brings ideas from variety of areas including statistics, machine learning and database processes. Decreasing price of digital networking is now economically viable for network intrusion detection. This analysis chiefly examines the system intrusion detection with machine learning and DM methods. To improve the accuracy and efficiency of SHMM, we are collecting multiple observation in SHMM that will be called as Multiple Hidden Markov Model (MHMM). It is used to improve better Detection accuracy compare with SHMM. In the standard Hidden Markov Model, we have observed three fundamental problems are Evaluation and decoding another one is learning problem. The Evaluation problem can be used for word recognition. And the Decoding problem is related to constant attention and also the segmentation. In this Proposed Research, the primary purpose is to model the sequence of observation in Network log and credit card log transactions process using Enhanced Hidden Markov Model (EHMM). And show how it can be used for intrusion detection in Network. In this procedure, an EHMM is primarily trained with the conventional manners of a intruders. If the trained EHMM does not recognize an incoming Intruder transaction with adequately high probability, it is thought to be fraudulent. 04 30 2020 1618 1623 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.F4039.049620 https://www.ijitee.org/portfolio-item/F4039049620/ Computer Science and Engineering, K L University, Vaddeswaram, Guntur, India. Unnikiran J* Dr. P. SaiKiran Computer Science and Engineering, K L University, Vaddeswaram, Guntur, India. Communication over desktop applications and mobile applications has been increased. Requirement that the information security is very significant. This document is about encoding or decryption of text data from applications using block cipher called 64/128 Blowfish bit to extend security while sending data to the cloud. It rounds 16 times to and the key length must be multiples of 8. Java has accustomed implement a blowfish algorithm, in android programming and checking Blowfish encryption performance with other encryption algorithms based on network and energy usage. The proposed algorithm is meant using android(java). 04 30 2020 1348 1352 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.F4041.049620 https://www.ijitee.org/portfolio-item/F4041049620/ College of Information Technology, Mutah University, Karak, Jordan Mohammad A. Abbadi* Ahmed M. Al-Bustanji College of Information Technology, Mu’tah University, Karak, Jordan Mouhammd Al-kasassbeh College of Information Technology, Mutah University, Karak, Jordan. Attackers take advantage of every second that the anti- vendor delays identifying the attacking malware signature and to provide notifications. In addition, the longer the detection period delayed, the greater the damage to the host device. To put it another way, the lack of ability to detect attacks early complicates the problem and rises serious harm. Consequently, this research intends to develop a knowledgeable anti-malware system capable of immediately detecting and terminating malware actions, rather than waiting for anti-malware updates. The research concentrates in its scope on the detection of malware on the Internet of Things (IoT), based on Machine Learning (ML) techniques. A latest open source ML algorithm called the Light Gradient Boosting Algorithm (LightGBM) has been used to develop our instant host and network layer anti-malware approach without any human intervention. For examination reasons, the suggested approach serves the LightGBM machine learning algorithm to adopt datasets obtained from real IoT devices using the LightGBM machine learning algorithm. The results indicate a successful method to detecting and classifying high accuracy malware at both network and host levels based on the Holdout method of cross-validation. Additionally, this result is better than many prior related studies which used different algorithms of Machine Learning and Deep Learning. Though, an old study which used the same dataset was the best among the literature. However, it still slightly less than what this study achieved, besides the complexity which deep learning adds. Lastly, the results show the ability of the proposed approach to detect IoT botnet attacks fast, which is a vital feature to end botnet activity before spreading to any new network device. 04 30 2020 1253 1260 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.F4043.049620 https://www.ijitee.org/portfolio-item/F4043049620/ Ph.D scholar, Department of Mechanical Engineering, Dayananda Sagar University, Bangalore,India. V. Dinesh Kumar* K.M. Mrityunjayaswamy Associate Professor, Department of Mechanical Engineering, School of Engineering, Dayananda Sagar University, Bangalore,India. M. Chinnapandian Professor and Head, Department of Aeronautical Engineering, St. Peter’s College of Engineering and Technology, Avadi, Chennai,India. The long term ongoing research in the field of automobile is to increase the efficiency of the engine and to reduce its harmful exhaust emissions. It is well known that only the one third of the thermal energy produced during the combustion of fuel is converted into useful mechanical work. Thermal barrier coating reduces the rate of heat transfer and utilizes the maximum rate of heat developed for the complete combustion of fuel. In this paper a comparison is made on the performance and emission characteristics of the blend B25 of papaya oil methyl ester on a single cylinder diesel engine with standard and magnesium stabilised zirconia coated piston under variable loading condition from no load to full load in the incremental of 20% and its thermal analysis using ANSYS. The blend B25 is selected because it is found optimum when compared with its other blends in earlier investigation. 04 30 2020 1686 1689 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.F4048.049620 https://www.ijitee.org/portfolio-item/F4048049620/ Student, Dept. of Electronics and Communication, Punjab Engineering College, Chandigarh, Chandigarh (Deemed to be University) Anjali Goel* Neelam Rup Prakash Professor, Dept. of Electronics and Communication, Punjab Engineering College, Chandigarh, (Deemed to be University) MOSFET have been scaled down over the past few years in order to give rise to high circuit density and increase the speed of circuit. But scaling of MOSFET leads to issues such as poor control gate over the current which depends on gate voltage. Many short channel effects (SCE) influence the circuit performance and leads to the indeterminist response of drain current. These effects can be decreased by gate excitation or by using multiple gates and by offering better control gate the device parameters. In Single gate MOSFET, gate electric field decreases but multigate MOSFET or FinFET provides better control over drain current. In this paper, different FET structures such as MOSFET, TFET and FINFET are designed at 22nm channel length and effect of doping had been evaluated and studied. To evaluate the performance donor concentration is kept constant and acceptor concentration is varied. 04 30 2020 972 979 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.F4051.049620 https://www.ijitee.org/portfolio-item/F4051049620/ PG Student, Department of Computer Science and IT, Amrita School of Arts and Sciences, Kochi Amrita Vishwa Vidyapeetham, India Amritha V* Vismaya T V PG Student, Department of Computer Science and IT, Amrita School of Arts and Sciences, Kochi Amrita Vishwa Vidyapeetham, India Remya Nair T Assistant Professor, Department of Computer Science and IT, Amrita School of Arts and Sciences, Kochi Amrita Vishwa Vidyapeetham, India The rapid growth and increased communications over internet has also increased the demand for an effective and efficient communication over the network. Therefore an efficient mechanism to deal with the network traffic can reduce the interruptions caused during communication and provide reliable and enhanced quality of service. Routers are responsible for performing the direction of network traffic over the internet Congestion control mechanisms provide a better way of handling network congestion. This paper analyzed the performance of RED with fuzzy logic. The important objective of fuzzy logic is to reduce packet loss during data transmission. The analysis results show that the packet dropping probability could be reduced with the help of FLRED. 04 30 2020 1154 1158 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.F4054.049620 https://www.ijitee.org/portfolio-item/F4054049620/ Dept. of Computer Engineering & Technology, Guru NanakDevUniversity,Amritsar,India Shubhreet Kaur* Chetan Marwaha Dept. of Computer Engineering & Technology, Guru Nanak Dev University,Amritsar,India Digital image processing is a boon in medical image processing. Oral hygiene is considered as one of the main aspect of the health. So, it is important to determine the dental diseases and cure them. This leads to use of technologies that help in detecting the diseases. Dental imaging technologies have seen a rapid advancement over a century. The image capturing technologies have evolved from analog films to 2D imaging and recent 3D imaging technologies are now in vogue. Detection of dental diseases by using dental imaging techniques still possess some challenges, inappropriate use of techniques can lead to undesired results. In this paper we will look at various dental imaging technologies that are used for detection of dental diseases and the associated challenges. 04 30 2020 1159 1166 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.F4060.049620 https://www.ijitee.org/portfolio-item/F4060049620/ Department of Computer Science and Engineering at Mahatma Gandhi Institute of Technology, Hyderabad, India. P. Satya Shekar Varma* P. Shyam Sundar Department of Computer Science and Engineering at Mahatma Gandhi Institute of Technology, Hyderabad, India. Koppula Sri Vasuki Reddy Department of Computer Science and Engineering at Mahatma Gandhi Institute of Technology, Hyderabad, India. For today’s education leaders, the ongoing challenge is to assess the student’s academic performance that could probably affect their organization’s potential. So, the emergence of Educational Data Mining [EDM] became the solution. By utilizing the data mining methods, infused with a theory of understanding the application and elucidation of the education and learning experience, EDM practitioners are able to generate training models that interpret the results and spot the students who may show poor performance so as to help tutors to offer effective learning environment. This paper proposes a guidance system which aims to analyze student’s demographic data, academic details and extract all possible knowledge through surveys from students, parents and teachers with regard to latter state to configure whether the student is on the proper course of achieving the goals using the random forest classification algorithm. This model pursues highest possible accuracy comparison to the other previously related models proposed by authors. Furthermore, Anaconda3 data mining tool is used to develop this model which flourishes to draw the attention towards the pupils functioning based on their interests. In this study, we have accumulated the records of 480 students with 16 attributes. After contemplating all records of factors considered earlier for forecasting student’s academic participation, we cull the most consistent featured based on their hypothesis and association with the performance. 04 30 2020 980 985 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.F4063.049620 https://www.ijitee.org/portfolio-item/F4063049620/ Mechanical Engineering, Lakireddy Bali Reddy College of Engineering, Mylavaram, Andhra Pradesh, India Siva Sankara Babu Chinka* G. Jyosthana Surya Kumari Mechanical Engineering, Lakireddy Bali Reddy College of Engineering, Mylavaram, India. M. Guna Sahithi Mechanical Engineering, Lakireddy Bali Reddy College of Engineering, Mylavaram, India. S. Mahesh Mechanical Engineering, Lakireddy Bali Reddy College of Engineering, Mylavaram, India. M. R. Krishna Mohan Mechanical Engineering, Lakireddy Bali Reddy College of Engineering, Mylavaram, India In this paper, Mode Shape Based Damaged Detection Technique (MSBDT) has been applied for plate-like structures to recognize the damage location and quantify the damage length. Two alternative approaches are exclusively used to extract damage indexes through mode shapes of undamaged plate (i.e. reference data) and damaged plate. The absolute difference of mode shapes used in first approach and mode shape curvatures used in second approach of undamaged and damaged plates. Healthy Aluminium plate was tested in the laboratory for accurate material properties and considered three different damage cases by changing the crack orientation and location for successfully implementation of above approaches. In order to make certain the sensitivity of the proposed approaches, natural frequencies and corresponding mode shapes for first six modes in transverse direction of a plate are obtained by Finite Element Modal Analysis (FEMA) in ANSYS 18.1 and validated by Experimental Modal Analysis (EMA) in virtual instrumentation environment using LabView software. 04 30 2020 1264 1272 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.F4066.049620 https://www.ijitee.org/portfolio-item/F4066049620/ Assistant Professor, Department of Civil Engineering, Sona College of Technology, Salem, Tamil Nadu, India. Ashokkumar P* Dr Jegatheeswaran D Professor, Department of Civil Engineering, Sona College of Technology, Salem, Tamil Nadu, India. Karthick Raj T Structural Engineering, Department of Civil Engineering, Sona College of Technology, Salem, Tamil Nadu, India. Iyyappan R Structural Engineering, Department of Civil Engineering, Sona College of Technology, Salem, Tamil Nadu, India. now a days there are many methods available to monitor the health condition of the structures. The need of monitoring of health of structures also serves as important factor because of lower quality of materials availability now a days. In this project the temperature sensor is embedded inside the concrete specimen to monitor the variation in temperature of the concrete due to process of hydration. Temperature is one of the major factor that determines the compression strength of concrete structures. The maturity in the temperature data can be monitored by applying this concept in real time application in field. The Internet of Things (IOT) technique is used to send and store the temperature data in the cloud server. With help of the data that stored in the cloud server maturity index formula is used to calculate the temperature time factor with help of which the strength of the structure is indirectly correlated and can be found. In case of the large scale projects there are various methods being adopted to find the strength attained in the concrete element in site such that by doing the cube destructive testing, this concept can also been adopted to ensure the strength attainment in concrete. Hence more than one method was been adopted to ensure the strength which allows the engineers to take the decision without any confusion 04 30 2020 1310 1313 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.F4076.049620 https://www.ijitee.org/portfolio-item/F4076048619/ Department of Computer Science and Engineering at Mahatma Gandhi Institute of Technology, Hyderabad, India. G. Nagi Reddy P. Satya Shekar Varma* Department of Computer Science and Engineering at Mahatma Gandhi Institute of Technology, Hyderabad, India. In recent years, with the widespread application of cloud computing, more and more enterprises, institutions, and individuals have started to use cloud services to place their data in the cloud. With the rise of cloud services, the accompanying data security issues have received increasing attention. Because data stores are in the cloud, there are many outstanding security issues. This paper proposes a public cloud data security solution based on a trusted third-party platform. The solution is based on an independent and trusted third-party platform, and has certain advantages in data encryption, key management, data awareness, data sharing, and accident responsibility. 04 30 2020 1043 1049 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.F4087.049620 https://www.ijitee.org/portfolio-item/F4087049620/ Department of Electronics & Communication Engineering, Teerthanker Mahaveer University, Moradabad, UP, India. Sakshi Singh* Jitesh Kumar Department of Electronics Engineering, TeerthankerMahaveer University, Moradabad, UP, India. Automatic Train Protection (ATP) and signaling with accident avoidance system for Indian Railways is proposed in this paper which aims to develop p a prototype of a safety system for unmanned level crossing areas and to avoid train accidents due to collisions and obstacles. The system consists of two Arduino Uno boards, two IR Sensors, two traffic lights on both sides of the track, servomotor controlled gate and an ultrasonic sensor to stop the train in case of any obstacle in front of running train .According to the INDIAN RAILWAYS ANNUAL REPORT AND ACCOUNTS 2014-15 [1] the main cause of accidents were carelessness on unmanned level crossings and the number of injured and killed were maximum due to this reason mentioned in [1]. The proposed system has automatic traffic light signaling on both sides of the track which indicates the traffic to stop while the train is moving and the gates on both sides of the track will automatically close to stop the transport and open after train crosses the other end. The proposed system will also provide safety for train collisions. This logic was applied in Embedded C and programmed to the Arduino Uno. 04 30 2020 986 990 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.F4088.049620 https://www.ijitee.org/portfolio-item/F4088049620/ Assistant Professor, Department of EEE, Mohamed Sathak Engineering College, Kilakarai S. Syed Musthafa Gani* S. Boobalan Professor and Head, Department of EEE, Mohamed Sathak Engineering College, Kilakarai,. S. Arun Prakash Assistant Professor, Department of EEE, University College of Engineering, Ramanathapuram. S. Faizal Mukthar Hussain Assistant Professor, Department of CSE, Mohamed Sathak Engineering College, Kilakarai A. Mohamed Ifthikar Ali Associate Professor, Department of ECE, Mohamed Sathak Engineering College, Kilakarai. This paper indicates the nonlinear congestion mitigation in the transmission lines. The generator active power is rescheduled to achieve the congestion- transmission line network in electrical power system. The transmission congestion in the buses can be reconfigured by using the Improved Particle Swarm Optimization Algorithm. By locating the Distributed Generators in the identified weak buses the voltage profile and the power loss in the transmission system can be improved. The proposed solution’s achievability is tested by estimating the cost of congestion on different standard IEEE transmission line networks. The algorithm have the recompense such as the capability of local search and the capability of global search in the algorithms Gravitational Search Algorithm (GSA) and Particle Swarm Optimization (PSO) algorithm respectively. Consistence with the calculation is tried by considering different contextual investigations including clog on the separate test transport arrange because of two-sided, polygonal exchanges and line blackouts. 04 30 2020 1624 1628 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.F4090.049620 https://www.ijitee.org/portfolio-item/F4090049620/ Laboratory of Engineering Sciences and Modeling, Faculty of Sciences, Ibn Tofail University Kenitra, Morocco. Acharoui Zakia* Altaf Alaoui Laboratory of Engineering Sciences and Modeling, Faculty of Sciences, Ibn Tofail University Kenitra, Morocco. Mourad Azhari Laboratory of Engineering Sciences and Modeling, Faculty of Sciences, Ibn Tofail University Kenitra, Morocco. Abdallah Abarda Laboratory of Mathematical Modelling and Economic Calculations, FSJES, Université Hassan 1er, Settat, Morocco. Badia Ettaki Laboratory of Research in Computer Science, Data Sciences and Knowledge Engineering, Department of Data, Content and knowledge Engineering School of Information Sciences, Rabat, Morocco. Jamal Zerouaoui Laboratory of Engineering Sciences and Modeling, Faculty of Sciences, Ibn Tofail University Kenitra, Morocco. The high use of social media has led to a new form of political involvement and participation. In this paper, we use Latent Class Analysis to identify participants’ behavior regarding political participation and engagement based on the nature of their interaction on social media. The LCA findings reveal three statistically distinct and behavioral classes regarding political interaction on social media. The profiles were ranged from ‘Activist’ that show more engagement in political activity, such as following candidates and political parties, posting and participating in discussions related to economic, social or political issues or, encouraging others to debate their point of view, to ‘Agitator’ and ‘Outsider’ profiles that show a low probability of interacting on social media and engaging in political actions. The LCA technique has provided meaningful and distinct information on the participants’ political profile than clustering classical techniques. 04 30 2020 1273 1282 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.F4095.049620 https://www.ijitee.org/portfolio-item/F4095049620/ Assistant Professor, Department of Computer Science Engineering, MVGR College of Engineering, Vizianagaram, Andhra Pradesh, India. Prathyusha Kanakam* Dr. A. S. N Chakravarthy Associate Professor, Department of Computer Science Engineering, JNTUK- University College of Engineering Vizianagaram, Andhra Pradesh, India. As with growing internet, the objects in the system need to implant with the external environment. Every object is resided in distinct place and works in an interoperable way. This process of Smart living which involves various smart devices – Smart phones, Sensors, Actuators, Radio Frequency Identification (RFID) tags, etc., evolving in this modern era is coined as Future Internet or Internet of Things (IOT). This IOT associated with distinguished services and visions through which it can be identified among various domains. A distributed intelligence needs to be employed to the application specific machine in order to serve the human perception for the sake of smart forensics. This paper explores and interprets the next generation internet, its components, standards and services along with their applications in diversified fields. Authors provide a systematic exploration of existing IoT products in the marketplace and highlights several possibly meaningful research objectives and drifts. 04 30 2020 1996 2001 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.F4103.049620 https://www.ijitee.org/portfolio-item/F4103049620/ Student, Bachelors of Engineering, computer science and engineering integrated with MBA, Thapar Institute of Engineering & Technology Mr. Sidhant Goyal* Mr. MD Shagill Student, Bachelors of Engineering, computer science and engineering integrated with MBA, Thapar Institute of Engineering & Technology Ms. Arwinder Dhillon Ph.D, Computionational Bioinformatics in Computer Science and Engineering Department, at Thapar Institute of Engineering & Technology, Patiala. Punjab, India. Dr. Harpreet Vohra Assistant professor, Electronics and Communication Engineering Department Dr. Ashima Singh Assistant Professor, Computer Science and Engineering Department, Thapar Institute of Engineering & Technology, Patiala Forest fires, wildfires and bushfires are a global environmental problem that causes serious damage each year. The most significant factors in the fight against forest fires involve earliest possible detection of the fire, flame or smoke event, proper classification of the fire and rapid response from the fire departments. In this paper, we developed an automatic early warning system that incorporates multiple sensors and state of the art deep learning algorithm which has a minimum number of false positives and give a good accuracy in real time data and in the lowest cost possible to our drone to monitor forest fire as early as possible and report it to the concerned authority. The drones will be equipped with sensors, Raspberry pi 3, neural stick, APM 2.5, GPS, Wifi. The neural stick will be used for real time image processing using our state-of-the-art deep learning model. And as soon as forest fire is detected the UAV will send an alert message to the concerned authority on the mobile App along with location coordinates of the fire, image and the amount of area in which forest is spread using a mesh messaging. So that immediate action will be taken to stop it from spreading and causing loss of millions of lives and money. Using both deep learning and infrared cameras to monitor the forest and surrounding area, we will take advantage of recent advances in multi-sensor surveillance technologies. This innovative technique helps the forest department to detect fire in first 12 hours of its initialization , which is the most effective time to control the fire. 04 30 2020 1357 1362 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.F4106.049620 https://www.ijitee.org/portfolio-item/F4106049620/ M.E Research Scholar, Civil Engineering at Chandigarh University Punjab, India. Noor Rahman Stanik Zai* Shalika Mehta Designation Civil Engineering Department Coordinator, Chandigarh University Mohali Punjab India. Development material administration from the underlying stage to the development stage is the fundamental issue for the structure extends the expense of the undertaking increments when the arranging, controlling and coordinating of material is poor. To keep up the viable material administration to accomplish a convenient inventory of material and gear and to diminish the task cost and finish on schedule. This paper clarifies about the systems which are utilizing for stock control the board for development venture ABC analysis will be applied for four exceptionally affected materials by utilizing this method we will acquire economic development utilizing the S-CURVE strategy for the variety between arranged expense and genuine expense for material things however materials waste is the major problems in Afghanistan construction industry that has significant implications in both the proficiency of the business and the natural effect of construction project due to top material management. 04 30 2020 1363 1366 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.F4110.049620 https://www.ijitee.org/portfolio-item/F4110049620/ School of Computer Science and Engineering, Vellore Institute of Technology, Vellore, India. Shivam Bhagwani* Priya G School of Computer Science and Engineering, Vellore Insititute of Tehnology, Vellore, India. There are hundreds of technologies today. Companies and brands continuously try to create and bring something innovative in the market to attract consumers to them in order to get a rise in market share. In the world where people have started getting used to hundreds of technologies, if asked about those which have affected them the most in last ten to twelve years, no one will miss mentioning blockchain. Blockchain has gained very much popularity after the introduction of bitcoin and ethereum in its environment. Blockchain mainly has two types of functionalities. One that involves transactions and the other which talks about contracts. This work highlights some of the very much talked about applications of this technology in the real world. The work also considers various factors and methods by which this technology can be introduced to the audience by suggesting ways in which blockchain can be introduced in the lives. Discussion on how this technology can affect human lives in the future is also an important part of this paper. Because blockchain has huge number of applications that the paper has tried to inculcate, it can be a technology of future which many scientists and industrialists have already started to believe. That is why this work finds a unique and all in one collection of applications and possibilities of Blockchain. 04 30 2020 1050 1054 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.F4117.049620 https://www.ijitee.org/portfolio-item/F4117049620/ Assistant professor in the department of ETO , Coimbatore marine college, Coimbatore, Tamilnadu, India. Jambulingam* K. Jothiswari Assistant professor in the department of ETO , Coimbatore marine college, Coimbatore, Tamilnadu,India. M. Poongodi Assistant professor in the department of ETO , Coimbatore marine college, Coimbatore, Tamilnadu,India. S. Rajeswari Assistant professor in the department of ETO , Coimbatore marine college, Coimbatore, Tamilnadu,India. This research work is generally emphasize to show and estimate the performance of a new three port converter by connecting a a battery port ,PV port, and also load port all collectively connect in a power system then a original three port converter named bidirectional buck with buck boost converter is projected. The chief advantage of the proposed converter topology is the one-stage power conversion which improve the overall success of the converter. The presentation of the proposed system is simulated in MATLAB and its efficiency based on overall module count, losses and competency is evaluated. Finally to validate the performance of the proposed converter, it is compared with other conservative converters and the evaluation results confirm the dynamic performance of the proposed system. The comparison of various power converters with MPPT technique are made and the simulation result proves the necessity of a suitable converter to be accepted for tracking the highest PowerPoint in solar PV systems. 04 30 2020 2184 2188 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.F4119.049620 https://www.ijitee.org/portfolio-item/F4119049620/ Department of Computer Science & Application, REVA University, Bengaluru, India. Bhagya M Patil* Dr.Basavaraj Amarapur Department of Electrical & Electronics Engineering, PDA college of Engineering, Kalaburgi, India. In this paper, the segmentation of cotton leaves from the complex background has been carried out using deformable model. In order to segment, a database of about 300 cotton leaves image was developed. The collected images were resized to 256x256 size. The resized image has been segmented using Adaptive Diffusion Flow (ADF) model. The ADF model has been obtained by replacing the smoothening energy term of gradient vector flow model with active hyper surface harmonic minimal function used to keep away from weak edges leakage. The infinite Laplace function is used to move the deformable model into narrow concave regions. Further, the developed model has been compared with the gradient vector flow and vector field convolution segmentation methods in terms of number of iterations, time taken for segmentation and various performance parameters namely precision, recall, Manhattan, Jaccard, Dice. From the results, it is concluded that the adaptive diffusion flow method is faster and performance parameters are better than the Gradient Vector Flow (GVF) and Vector Field Convolution (VFC) methods. 04 30 2020 1690 1695 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.F4121.049620 https://www.ijitee.org/portfolio-item/F4121049620/ Computer Science and Engineering, Sona College of Technology, Salem, India. V. Priyankaselvi* Dr. R. Sivakami Computer Science and Engineering, Sona College of Technology, Salem, India Passwords are mostly employed in every place within the world. Nowadays maintaining password is extremely difficult. Because Passwords could also be leaked from weak systems. passwords that are given by a human is easy to identified and cracked. Initially password given by a user’s often select weak passwords and it can be reused. Unauthorized person may enter into the login process and they hacked a Password very easily. Passwords are usually in the kind of hashed passwords. During this work it develops a Secured Smart lock using Strong Authentication. it's a raspberry pi connected to the Wi-Fi, a camera, a key pad system and a lock system. the house owner can give access to the guest by IoT. He can even send the One-time password to the guest mobile to enter into the house. The owner can view the one that is before of the door using the camera. 04 30 2020 1925 1929 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.F4123.049620 https://www.ijitee.org/portfolio-item/F4123049620/ M. Tech in CSE from Prist University and MCA from Bharathidasan University, India Pratheepa Marimuthu* Saran Kumar Sekar M.E. in Aeronautical Engineering, Lecturer-Department of Aeronautics, St. Theresa International College, Nakhhonnayok - Thailand, Internet-of-Things (IoT) implementation in technological application is developing at higher speed because of more demand from the customers and firms which reply with the advantages proposed through the brilliant and elegant hardware unit. Using Drone concept, it is finding more applications in various areas which rises the threat of data hacking and also poses safety risk to common people. We must appreciate due to online data collection from the application of commercial drones which is widespread across varieties of drone use. Implementation of IoT enabled drones in large quantity causes more number of drones which is exposed to the possibility of being attacked or harmed by the fraudster. This research work examine the various issues concerned to drone security, safety, threat, attacks and illustrate a group of wireless fidelity risk possibilities. My research work has observed different types of threat and attacks on commercial drones. The propagation channel risk analyzed are, Access Denial, Authorization techniques, unauthorized third party presence, illegal source access gain and frame misuse of device characteristic features. Our work prohibits illegal connection entry controlled based on Raspberry-pi & wireless fidelity between access point and drone happens using tell-net with the help on IP address and sign up process. The investigation work explains the execution of methodology which includes attack steps and data security enabling using RSA Algorithm. The main work focuses on the data collected on parrot security OS and to secure the communication in Wi-Fi mode using drone and another devices were analyzed. 04 30 2020 1629 1634 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.F4124.049620 https://www.ijitee.org/portfolio-item/F4124049620/ currently pursuing Ph.D. degree program in computer applications in BU Bhopal Jagdish Kushwaha* Dr.(Prof) Shailesh Jaloree Professor department of computer science & applied mathematics SATI VIDISHA(MP) Dr (Prof) R.S. Thakur Professor and HOD department of mathematics, Bioinformatics & Computer Application MANIT Bhopal(MP) One of the basic issues with K-means clustering is that it just merges to nearby optimum which is simpler than comprehending for worldwide optima however can prompt less ideal union. This is especially valid for enormous information as the underlying focuses assume a significant job on the exhibition of this calculation. The paper proposes a novel K-means clustering algorithm which presents a technique to discover advanced area of beginning focuses and introductory number of bunches. This outcome in getting last arrangement of bunches to meet internationally, encouraging quick and exact grouping over enormous datasets. Distributed computing executes huge scope and complex processing. A lot of information are economically and proficiently broke down by utilizing parallelism method. To get parallelism and versatile registering, using Amazon Web Services with R Studio Flexible Process Cloud occasion which partitions the activity among different hubs. The proposed system presents an exceptionally serious exhibition taking significant less calculation time and financially savvy. It very well may be contrasted with complex Hadoop Disseminated Record Framework and MapReduce A significant disadvantage with Apache Hadoop is its MapReduce worldview that is exceptionally open when a procedure emphasizes number of times. R performs execution inside memory which is quicker and less mind boggling when contrasted with Read/Keep in touch with the circle over and again in MapReduce. The examination work is mimicked on some well known genuine datasets from UCI AI storehouse. The outcomes affirm that the proposed work models a vigorous and adaptable procedure for grouping huge datasets. 04 30 2020 1930 1937 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.F4126.049620 https://www.ijitee.org/portfolio-item/F4126049620/ Asst. Prof., Computer Engg. Dept D.J.sanghvi COE Aruna Gawade* Narendra Shekokar Prof. Computer Engg. Dept, D.J.sanghvi COE Internet of Things (IoT) is a leading technology, where numerous sensors with the ability to exchange information over the internet are involved. It supports various applications ranging from smart home to smart city including smart grid for calculating electricity tariff, real time monitoring and controlling traffic, Co2 emission level finding etc. Research advancements in IoT facilitates us to control or monitor the things remotely and take actions accordingly. Efficient working of the IoT, involves continuous exchange of information between the nodes which should be executed in trusted environment as this data is confidential and only trusted nodes should handle it. Current research work in IoT suggests the confidentiality mechanisms which are heavyweight and not suitable in IoT scenario. So there is a need for lightweight confidentiality mechanism. In this paper we have shown how lightweight P-Box permutation encryption algorithm can be effective in IoT. We have compared this encryption algorithm with PRESENT protocol and our results show that lightweight P-Box permutation algorithm took less time. To prove that our encryption algorithm is better w.r.t. security, we have also carried out known plaintext attack and chosen plaintext attack and shown that lightweight P-Box permutation encryption algorithm is resistant to both of these attacks. Further we have used this technique to transfer the smart meter data in Smart Grid and shown that the data exchanged between the two nodes in confidential manner. 04 30 2020 1696 1702 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.F4128.049620 https://www.ijitee.org/portfolio-item/F4128049620/ Dept of ECE, Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology, Chennai, India. Lingaiah Jada* Dr. S. Shiyamala Professor, Dept of ECE, Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology, Chennai, India.. In this paper underwater acoustic communication system based on Coded GFDM (CGFDM) is simulated and the performances are analyzed using different error-correcting codes. And also the parameter selection principle of error-correcting code is evaluated. To build practical and high performance CGFDM system the error-correcting codes from low to relatively high computational complexity, such as, convolutional code, RS code, serial concatenated code of RS code plus convo1utional code and turbo code is evaluated. The parameters of code rate, code length, generation polynomial, interleaving and interleaving matrix length are all considered and analyzed elaborately. Finally, the simulating experiments proved that there are some relative1y low complexities systems based on serial concatenated codes of RS code plus convolutional code that are able to gain better performance as the systems based on turbo code. 04 30 2020 1353 1356 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.F4129.049620 https://www.ijitee.org/portfolio-item/F4129049620/ Department of Computer Applications, The Maharaja Sayajirao University of Baroda, Vadodara, India. Kshitij Tripathi* Anil K Gupta Department of Computer Science & Applications, Barkatullah University, Bhopal, India. Rajendra G Vyas Department of Mathematics, The Maharaja Sayajirao University of Baroda, Vadodara, India. Convolutional Neural Networks (CNN) are very common now especially in the image classification tasks as CNN’s have better classification accuracy than other techniques available in image classification. Another type of CNN called as Residual Neural Networks (RESNET) are gaining popularity because of better accuracy than normal CNN because of residual block available in it. In the present article the RESNET architecture is used for image classification on CIFAR-10 dataset using cross-validation approach that reflects a consistently better accuracy on the above dataset. 04 30 2020 1525 1530 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.F4131.049620 https://www.ijitee.org/portfolio-item/F4131049620/ student of Master Degree Program of Civil Engineering Department, Diponegoro University, Indonesia. Dini Mandrianawati* Dyah Ari Wulandari lecturer in Master Degree Program of Civil Engineering Department, Diponegoro University, Indonesia. Pranoto Samto Atmojo lecturer in Master Degree Program of Civil Engineering Department, Diponegoro University, Indonesia. Blora regency is mostly a water critical region during dry seasons due to its porous soil characteristic. In order to overcome this condition, in 2006, Indonesian Ministry of Public Works and Housing, through Mettana Engineering Consultant, conducted a Study of Identification and Basic Design Development of Reservoirs in Blora Regency. It determined 28 future reservoir locations by considering their technical, economical and socio-environmental aspects. However, for the reservoirs to be the most effective, it is necessary to include regional drought vulnerability aspect into consideration to determine their location priority. The main purpose of this research, to conduct an analysis of meteorogical drought vulnerability in Blora regency region.In more detail the main goal is to determine reservoir location priority in Blora regency region by considering meteorogical drought vulnerability aspect. Drought Index was calculated using SPI (Standardized Precipitation Index ) method using 2009-2018 monthly precipitation data obtained from 15 precipation stations. Mapping of drought vulnerable regions was done using GIS (Geographic Information System) technology using spatial interpolation approach. This research determined new priority, different from that determined by Mettana Engineering Consultant. Priority 1 formerly consisted of Suruhan, Kedungwungu, Bangsri, Sambong and Kalisari reservoirs while the new one consisted of Polaman 1, Polaman 2, Suruhan and Jurangjero reservoirs. Suruhan reservoir appeared in both versions. Kedungwungu, Bangsri, Sambong and Kalisari reservoirs moved to priority 2 in the new priority since they were located in low drought level regions while Polaman 1, Polaman 2 and Jurangjero reservoirs moved to priority 1 since they were located in moderately high to moderate drought level regions. It indicated that is necessary to include drought vulnerability aspect into consideration in determining reservoir location, along with technical, economical and socio-enviromental aspects. The government then may employ this aspect as an additional criteria in developing future reservoir construction program to be more effective that targets drought vulnerable regions 04 30 2020 1635 1640 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.F4139.049620 https://www.ijitee.org/portfolio-item/F4139049620/ Professor and Principal, Department of Mechanical Engineering, Government Engineering College, Raichur, VTU, Belagavi, Karnataka, India K R Dinesh Gururaj Hatti* Assistant Professor, Department of Mechanical Engineering, KLS VDIT, Haliyal, VTU, Belagavi, Karnataka, India. This study focused on the development of a polyethylene biomaterial for replacement of the joints like knee joints, etc. Through forming aluminum oxide and titanium oxide particles into ultra-high molecular polyethylene, commonly known as high modulus polyethylene, this substance has strengthened its mechanical and wear properties. The composite is made using the injection molding machine by reinforcement materials like bio-inert aluminum oxide (Al2O3) and titanium di oxide (TiO2) with UHMWPE. Mechanical properties like Tensile, Bending, impact strength and hardness and wear rate of the synthesized polymer composite is tested according to ASTM standards.C3 composite shows enhancement in mechanical and tribological properties, only decrease in the impact strength is seen comparing to other two compositions. So C3 composite can be used as implant. 04 30 2020 991 995 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.F4147.049620 https://www.ijitee.org/portfolio-item/F4147049620/ currently pursuing Ph.D. degree program in computer applications in BU Bhopal Jagdish Kushwaha* Dr.(Prof) Shailesh Jaloree Professor department of computer science & applied mathematics SATI VIDISHA(MP), Dr (Prof) R.S. THAKUR Professor and Department of mathematics, Bioinformatics & Computer Application MANIT Bhopal(MP) The expedient exuding innovation during recent year in the zone of data innovation is "Huge Data". Grouping is one of the significant assignment in wide scope of areas dealing with gigantic information. This study presents the different bunching approaches received for the viable enormous information grouping. Therefore, this survey article gives the audit of various research papers proposing different strategies embraced for the successful huge information grouping, similar to K-implies bunching, Variant of K-implies bunching, Fuzzy C-implies grouping, Possibilistic C-implies bunching, Collaborative separating and Optimization based bunching. In addition, an elaborative examination is finished by concerning the usage instruments utilized, datasets used and the received system for bunching of huge information. In this manner a successful plan must be created to outperform present systems for remarkable administration of enormous information. In the long run the examination issues and holes of different huge information bunching strategies are introduced for profiting the analysts for initiation towards better large information grouping. 04 30 2020 1444 1447 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.F4148.049620 https://www.ijitee.org/portfolio-item/F4148049620/ Department Of Electronics and Computer Engineering, K. L. University. N.V.K Ramesh* V. Bhagiradh Department Of Electronics and Computer Engineering, K. L. University. K. Indravathi Department Of Electronics and Computer Engineering, K. L. University. M.Leena Reddy Department Of Electronics and Computer Engineering, K. L. University. B. Deevena Raju Faculty of Science and Technology, ICFAI Foundation for Higher Education, Hyderabad, India. The road fatalities in India are increasing exponentially. These road fatalities have high impact on any country. The life of the injured person can be saved by providing the medical assistance. The traditional methods mainly concentrate on the transmission of the messages using the cellular network. The methodology of this project is to identify the location of the accident prone area and send that coordinates to the nearest medical help centers. The communication takes place between the rider and the system with the help of the Bluetooth device. GPS device is very well-known for the identification of the current location. The coordinates of the accident prone area will be extracted using GPS. The latitude and longitude coordinates of different hospitals will be stored in the database. The coordinates of the accident prone area and the coordinates of hospitals in the database can be mapped and the distance between them can be calculated. The coordinates of the nearest hospitals can be recognized and the communication can be established with that hospital. 04 30 2020 1055 1059 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.F4150.049620 https://www.ijitee.org/portfolio-item/F4150049620/ Research scholar, Electrical Engineering, JNTUA University, Ananthapuramu, Andhra Pradesh, India. K. Vinod Kumar* Dr.P. Ram Kishore Kumar Reddy Professor and Head of the Department of Electrical and Electronics Engineering at MGIT, Hyderabad, India. Dr. P. Sujatha presently working as a Professor in Department of Electrical Engineering, J.N.T.U. A. College of Engineering, Ananthapuramu, Andhra Pradesh, India This paper proposed an optimal control algorithm based Fractional Order PID (FOPID) controller for the torque ripple minimization of Switched Reluctance Motor (SRM) drive system. That convalesce both control loop task, the Moth Flame Optimization (MFO)- Artificial Neural Network (ANN) algorithm is insinuated. The routine of intelligent technique is principally as the objective function of system error minimization. At this time the quality inspired algorithm of MFO is firstly reconnoitered to optimize the speed and torque error from the SRM system. Instead the output of MFO algorithm is optimized and to finding the premium value, the ANN method is recuperated. Nonetheless, the output of MFO-ANN is imperiled to the input of FOPID controller. For tweaking the exact FOPID gains, the multi objective functions are grew. Created on the operation of propositioned algorithm by normalize the system speed and minimalize the torque ripples of SRM system. The qualities of the suggested procedure are force falconer and in addition to augmented level of the reliability and flexibility in answering the system error. Also the enactment of proposed MFO-ANN process is executed in the MATLAB/Simulink running platform. 04 30 2020 1448 1457 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.F4156.049620 https://www.ijitee.org/portfolio-item/F4156049620/ Department of Computer Science and Engineering, SRM Institute of Science and Technology Aman Rakesh* Pranjal Sahu Department of Computer Science and Engineering, SRM Institute of Science and Technology C.N.S.Vinoth Kumar Department of Computer Science and Engineering, SRM Institute of Science and Technology The system provides a crop suggestion system which suggests the farmer the most profitable crop they can grow with the available resources, weather condition and market demand. This will be achieved with the help of data provided by the government and other sources. Smart farming also known as precision farming is the implementation of IoT in agriculture with the help of IoT devices, cloud internet and further analysis of data collected for precision farming. Through this system a farmer will be notified time to time about the condition of soil through analysing various parameters in soil like humidity, pH and temperature of the surrounding. With the help of humidity sensor and soil moisture sensor the condition of soil will be monitored and based on the condition, irrigation will be supplied automatically. This will reduce the wastage of water in irrigation and the crops will get precise amount of water supply. We will be using drip irrigation which is an efficient way of irrigation for orchard crops, vegetables, cash crops, flowers, spices, oil seed, forest crops. Integrating the efficient irrigation technique and automating it for precise irrigation will help to maintain the crop health with efficient use of resources. Adding to the irrigation system we also analysed the past crop production, state wise data for predicting the production and profitability of individual crop and suggest them to the farmer so that it will be profitable to farmers. 04 30 2020 1458 1462 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.E4158.049620 https://www.ijitee.org/portfolio-item/F4158049620/ Department of Mechanical Engineering, University Visveswaraya College of Engineering Bangalore-560001, Karnataka, Inida. R Murali Mohan* U N Kempaiah Department of Mechanical Engineering, University Visveswaraya College of Engineering Bangalore-560001, Karnataka, Inida. Madeva Nagaral Aircraft Research and Design Centre, Hindustan Aeronautics Limited, Bangalore-560037, Karnataka, India. The influence of artificial aging on the wear behavior of ADC12 alloy reinforced with Boron carbide (B4C) and Rice Husk Ash (RHA) composites have been investigated. Hybrid composites with 5 wt. % of B4C fortification constant and variable quantity of rice husk ash particles in steps of 9 and 12 wt. % in the ADC12 alloy prepared by melt stir process. ADC12 aluminium alloy, ADC12 alloy-5 wt. % B4C-9 wt. % RHA and ADC12 alloy-5 wt. % B4C-12 wt. % RHA Samples were solutionized at a temperature of 525˚C for 1 h. Further, these solution heat treated samples were artificially aged at the temperature of 175˚C for 10 h. Microstructural characterization was carried out by using SEM and EDS. A pin-on-disc wear testing machine was utilized to assess the wear loss of specimens, in which a solidified EN32 steel plate was utilized as the counter face. Wear tests were accompanied on ADC12 alloy, ADC12 alloy-5 wt. % B4C-9 wt. % RHA and ADC12 alloy-5 wt. % B4C-12 wt. % RHA hybrid composites at varying loads of 10 N, 20 N and 30 N with varying sliding distances of 250 rpm, 500 rpm and 750 rpm for constant sliding distance of 1000 m. The wear resistance of ADC12 alloy enriched with the accumulation of B4C and RHA particulates. Further, heat treated samples were exhibited the superior wear resistance as compared to the base alloy and un-heat treated samples. 04 30 2020 1367 1372 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.F4159.049620 https://www.ijitee.org/portfolio-item/F4159049620/ Department of Electrical and Electronics Engineering at Mahatma Gandhi Institute of Technology, Hyderabad, India. P. Chandra Sekhar* This paper presents a solar photovoltaic based unified power quality conditioner (PV-UPQC). The proposed system consists of a shunt compensator (ShC), series compensator (SeC) and PV array connected in parallel to a common dc-link. A three-level diode clamped multilevel inverter configuration is used as shunt and series converters. The SVPWM technique provides reduction in the common mode voltage and the balancing of the dc link voltage. The shunt compensation converter extracts power from PV array and provides compensation for load harmonic currents. The series compensation converter compensates for the power quality (PQ) problems such as grid voltage sags/swells and source harmonic voltages. The proposed system utilizes space vector pulse width modulation (SV-PWM) in multilevel converter topology for the mitigating the power quality problems using PV-UPQC. The proposed system improves PQ and also utilize RES, it also simultaneously improves both current and voltage disturbances. The performance of the system is analyzed in MATLAB/Simulink for nonlinear load conditions. 04 30 2020 1060 1064 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.F4160.049620 https://www.ijitee.org/portfolio-item/F4160049620/ Assistant Professor, Department of ME CSE, SRM Institute of Science and Technology, Ramapuram, Chennai, Tamil Nadu, India S. Nandhini* V. Hima Bindu Student, Department of CSE, SRM Institute of Science and Technology, Ramapuram, Chennai, Tamil Nadu, India. Sanjit Yadav Student, Department of CSE, SRM Institute of Technology, Ramapuram, Chennai, Tamil Nadu, India. Rajan Singh Student, Department of CSE, SRM Institute of Science and Technology, Ramapuram, Chennai, Tamil Nadu, India. AI (ML) is the investigation of calculations and factual models that PC frameworks use to play out a particular activity without utilizing guidelines and depending on designs. It is communicated as subset of man-made brainpower. In this, the sample data is split into test set and the training set. Major drawback for the deaths in world is recorded by the road accidents. Most of the deaths are occurred in the middle-income countries. These studies result in finding the major factors for road accidents using decision tree and random forests. Decision tree is a choice help device that is a like a tree model which contains just control explanations. Random forest corrects the decision tree for overfitting to their training set. In this, the decision tree and the random forest algorithms are used to find the severity and the factors for the road-accidents using driver’s personal information. Results conclude that the possibilities for the road accidents using the machine learning algorithms. 04 30 2020 2067 2069 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.F4161.049620 https://www.ijitee.org/portfolio-item/F4161049620/ Student, Mtech, G. H. Raisoni College of Engineering in VLSI stream. Ruchita Timande* Prof. Payal Ghutke Assistant Professor in Department of Electronics Engineering,G H Raisoni College of Engineering, Nagpur. In recent year, Authors had been attempting to find or detect the feeling of human by recorded brain signal for example, EEG (electroencephalogram) alerts. Because of the unnecessary degrees of unwanted signal from EEG recording, a solitary feature alone can't accomplish great execution. Distinct feature is key for automatic feeling identification. Right now, we present an AI based scheme utilizing various features extricated from EEG recordings. The plan joins these particular highlights in feature space utilizing both managed and unaided component choice procedures. To re-request the joined highlights to max-importance with the names and min-repetition of each feature by applying Maximum Relevance Minimum Redundancy (MRMR). The produced highlights are additionally diminished with principal component analysis(PCA) for removing essential segments. Test report will be generated to show that the proposed work should outperform the condition of-workmanship techniques utilizing similar settings in real time dataset. 04 30 2020 1845 1848 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.F4163.049620 https://www.ijitee.org/portfolio-item/F4163049620/ Professor, Department of Computer Science and Engineering, Mahatma Gandhi Institute of Technology, Hyderabad, India. Dr M Rama Bai* Ms.Charishma Kuna Student, Department of Computer Science and Engineering, Mahatma Gandhi Institute of Technology, Hyderabad, India. Mrs. J. Sreedevi Assistant Professor, Department of Computer Science and Engineering, Mahatma Gandhi Institute of Technology, Hyderabad, India Dr G. Shantha Assistant Professor, Department of Mathematics & Humanities, Mahatma Gandhi Institute of Technology, Hyderabad, India. Sentiment Analysis (SA) is a current field of study in text mining. The subjectivity of text, sentiment, and opinions are treated computationally by SA. This study examines the sentiment of the tweets containing “#metoo”. As a comparison, the same analysis was performed on the MenToo movement. MeToo started picking up significance in India with the expanding ubiquity of the global development, and later gathered sharp force in October 2018 in the film business of Bollywood, focused in Mumbai, when Tanushree Dutta blamed Nana Patekar for lewd behavior. An Indian filmmaker has joined calls for the development of a “#MenToo” movement for men’s rights, saying it should be “as important as #MeToo. This case study gathers around 20,000 tweets from the major cities of India for the duration of a week. Tweets were analyzed through the ‘sentiments’ dataset of tidytext (afinn, bing, nrc) and RSentiments dataset. The goal was to understand the overall sentiment better and find the associated patterns. With the hashtag analysis, it can be seen that #metoo was associated with the film industry, whereas #mentoo was more rooted in the cause. The comparison of likes and retweets shows that the #metoo movement has over 70% more engagement than #mentoo. 04 30 2020 1065 1068 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.F4167.049620 https://www.ijitee.org/portfolio-item/F4167049620/ Research Scholar, Department of Computer Science, Kongunadu Arts and Science College, Coimbatore, India. C. Bhuvaneshwari* Dr.R. Beena Associate Professor, Department of Computer Science, Kongunadu Arts and Science College, Coimbatore, India Stock market price movement forecast from multi-source data has gained massive interest in recent years. Studies were focussed on extracting the events and sentiments from different source data and employ them in learning the stock price movement patterns. This approach provided accurate and highly reliable forecasting as it involves multiple stock price indicators. However, some aspects of sentiment analysis and event extraction increase the training time and computation complexity in big data stock analysis. To overcome these issues, the hierarchical event extraction and the target dependent sentiment analysis are performed in this paper to improve the learning rate stock price movement patterns. In this paper, the events are hierarchically extracted from news articles using Deep Restricted Boltzmann Machine (DRBM). The target based sentiments from the tweets are detected using Improved Extreme Learning machine (IELM) whose parameters are optimally selected using Spotted Hyena Optimizer (SHO). The stock indicators obtained from these two processes are used in the learning process performed using Tolerant Flexible Multi-Agent Deep Reinforcement Learning (TFMA-DRL) model for analysing the stock patterns and forecasting the future stock trends. The forecasting results obtained by using the TFMA-DRL model by combining the stock indicators of targeted sentiments and hierarchical events are trustworthy and reliable. Evaluations are performed using three datasets collected for 12 months period from three sources of Twitter, Market News and Stock exchange. Results highlighted that the proposed stock forecasting model achieved 90% accuracy with minimum training time. 04 30 2020 1763 1770 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.F4170.049620 https://www.ijitee.org/portfolio-item/F4170049620/ Faculty of Engineering and Applied Sciences, Mechanical Engineering Department, PNG University of Technology, Lae, MP 411, Papua New Guinea. Aezeden Mohamed* Ahmad Alrawashdeh Department of Physics and Physical Oceanography, Memorial University of Newfoundland, St. John’s, NL, A1B 3X7, Canada Abdalhamid Rahoma Faculty of Engineering and Applied Sciences In this paper, we provide a comprehensive study of corrosion inhibition of mild steel in 1 M HCl solution at 313, 323, and 333 K using 4,4-Dimethyl oxazolidine-2-thione (DMOT) and its protonated form (DMOTH+) as inhibitors. Our results show that the corrosion rate of mild steel in 1 M HCl increases as the temperature increases while it decreases as the DMOT concentration increases. In contrast to the corrosion rate, the DMOT inhibition efficiency decreases with temperature and increases with increasing DMOT concentration. Both experimental and quantum chemical computational results reveal that the adsorption of DMOT and DMOTH+ on the mild steel surface is a mixed-type process having both physisorption and chemisorption. Moreover, the inhibitor adsorption on the mild steel surface was found to obey the Langmuir adsorption isotherm and the value of Gibbs energy of adsorption at the three studied temperatures is associated with an adsorption mechanism involving both physisorption and chemisorption processes. Heavy corrosion, cavities, and pitting of surfaces were observed in the absence of DMOT inhibitor, while much less corrosion was consistently observed in the presence of DMOT inhibitor. 04 30 2020 1373 1383 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.F4171.049620 https://www.ijitee.org/portfolio-item/F4171049620/ FPT University Hanoi, Vietnam Cho Do Xuan Tisenko Victor Nikolaevich Peter the Great St. Petersburg Polytechnic University Russia, St.Petersburg, Polytechnicheskaya Do Hoang Long FPT University Hanoi Nguyen Vuong Tuan Hiep FPT University Hanoi, Vietnam Le Quang Sang FPT University Hanoi, Vietnam The trend of network attacks through end-users are widely used by attackers today. One of them is the attack by distributing malware into users' computers to steal data or escalate to higher privileges. The technique of attack by distributing malware is a dangerous attack method that is difficult to detect and prevent. Therefore, the task of detecting the sign of malware and alerting it for the user or the system is very necessary today. Current studies and recommendations for detecting malware are often based on two main methods that are using a set of signs and analyzing abnormal behavior based on machine learning or deep learning. In this paper, we will propose a method to detect malware on users' computers using an Event ID profile analysis technique. Event IDs are signs and behaviors of malware that are tracked and collected on the operating system kernel of the workstation. The difference between our research and other published methods is the way to collect behaviors of the malware. We don't collect them through virtualization systems, but through direct processes in the operating system kernel. Therefore, even though malware uses hidden techniques, its actions are recorded by the operating system kernel and based on those processes, we use the Event ID analysis technique to conclude about the existence of malware in the system. 04 30 2020 1069 1078 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.F4180.049620 https://www.ijitee.org/portfolio-item/F4180049620/ Doctor of Technical Sciences, Professor, Department of Information processing and control systems, Tashkent State Technical University, Tashkent, Uzbekistan. Siddikov Isomiddin Khakimovich* Sadikov Saidkamol Babayevich researcher of TUIT, Tashkent, Uzbekistan. The verification method of the information in the related data bases by the theory of layered radial-basis neural networks given in this article. The method consists of three levels: clustering the data by Kohonen network, learning and usage of radial-basis neuron network, marking the reliability of the rows in the table of data base. The software worked out by the invers method in the basis of radial-neuron basis. The suggested data base by the method of verification gives opportunity to work out the models of integrated informational systems, algorithms and software. 04 30 2020 1384 1387 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.F4181.049620 https://www.ijitee.org/portfolio-item/F4181049620/ Mechanical Engineering, Lakireddy Bali Reddy College of Engineering, Mylavaram, Andhra Pradesh, India Siva Sankara Babu Chinka* Abhi Ram G Mechanical Engineering, Lakireddy Bali Reddy College of Engineering, Mylavaram, India. Srinu K Mechanical Engineering, Lakireddy Bali Reddy College of Engineering, Mylavaram, India. Prudvi Raj G Mechanical Engineering, Lakireddy Bali Reddy College of Engineering, Mylavaram, India. Nuruddin Shaik Mechanical Engineering, Lakireddy Bali Reddy College of Engineering, Mylavaram, India Now a days Air conditioning system has become a need for everyone to feel comfort in hot and humid condition and everyone feels comfortable to drink chilled water for quenching the thirst of the people. According to American Society of Heating, Refrigerating and Air conditioning Engineers in short ASHRAE Human comfort is defined as the condition of mind which expresses satisfaction with surrounding air. In this project, we developed the water cooling refrigerator and air cooling system by combining both the systems through which water is chilled by an eco-friendly refrigerant R-134a and then the air is cooled by this chilled water. Performance analysis of the water cooling refrigeration system was done and analyzed with varying condenser length. By combining these both systems we can reduce the compressor work, cost, save the electrical energy and environment too. 04 30 2020 1463 1467 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.F4182.049620 https://www.ijitee.org/portfolio-item/F4182049620/ Student, M.E (ECE) at Chandigarh University, Mohali (India). Ahsanullah Umary* Harpreet Kaur Assistant Professor in Department of Computer Science at Chandigarh University,Mohali (India). Brain tumour is undesirable expansion of destructive cell in or around the cranium. It can directly attack our healthy brain cell within the skull or it might invasion indirectly from disparate organs of the body such as lung cancer, breast lump. Its size becomes double within 25-30 days. Brain tumour is one of the highest threatening illnesses among cancerous diseases. Unfortunately possibility of death patients from brain tumour is to a greater extent in contrast with other illness. If we didn’t treat the cerebrum tumour at near the beginning the possibility of patient death will be very high in just one half year. Hence it’s very important for the research to find away to automatically recognize brain tumour and classify it to cancerous and non-cancerous tumor.That’s why these day’s one of the most widely research zone in image processing is brain tumor recognition and categorization. This article present various phase involves in brain cancer recognition and categorization such as pre-processing, cleavage, characteristics extraction, and classification of brain tumour by utilizing SVM algorithm .The proposed system execution and analysis was examined which achieved favorable outcome, high accuracy at minimal time in contrast weigh the research completed previously. 04 30 2020 1079 1084 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.F4190.049620 https://www.ijitee.org/portfolio-item/F4190049620/ Dept. of Computer Engineering and Technology, Guru Nanak Dev University, Amritsar, Punjab, India. Jaskaran Kaur* Dr. Sandeep Sharma Dept. of Computer Engineering and Technology, Guru Nanak Dev University, Amritsar, Punjab, India. ACL is one of most common knee injury in sports person which increases as the participation in sports increases. People participating in basketball, football, hockey and athletics generally faces more weight bearing on hip, knee and ankle which is directly breaking of muscular tissues of ACL. After this it is mandatory to rehabilitate and back to the field for sport person at same pre-injury stage. But it requires mental and physical strength to recover from ACL tear and proper treatment needs health management. In a growing age of Information Technology the use of computer and its applications are extensively used in almost all areas. The main objective of this paper is to check the use of expert system or the use of any computerized equipment while diagnosis Anterior Cruciate Ligament injury. There are many techniques and machines to predict the knee injury grade like MRI but to check the accuracy level computer expert system Machine learning techniques are best for the results. 04 30 2020 2189 2193 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.F4194.049620 https://www.ijitee.org/portfolio-item/F4194049620/ Research scholar, Department of Electronics & Communication Engineering, TOCE, Bengaluru, India. Anita P* Dr. Manju Devi Professor & Head, Department of Electronics & Communication Engineering, TOCE, Bengaluru, India The Packet classification method plays a significant role in most of the Network systems. These systems categories the incoming packets in various flows and takes suitable action based on the requirements. If the size of the network is vast and complexity will arise to perform the different operations, which affects the network performance and other constraints also. So there is the demand for high-speed packet classifiers to reduce the network complexity and improve the network performance. In this article, The Bit vector Packet classifier (BV-PC) Module is designed to improve the network system performance and overcome the existing limitation of Packet classification approaches on FPGA. The BV-PC Module contains Packet generation Unit (PGU) to receive the valid incoming packets, Memory Unit (MU) to store valid packets, Header Extractor Unit (HEU) extracts the IP Header address information from the Valid packets, The BV-Based Source and Destination Address (BV-SA, BV-DA) unit receives the IP packet header Information and Process with BV based rule set and aggregates the BV-SA and BV-DA outputs, Priority Encoder encodes the Highest priority BV Rule for the generation of Classified output. The BV-PC utilizes <2% Chip area (slices), works at 509.38MHz, and consumed Less 0.103 W of total Power on Artix-7 FPGA. The BV-PC operates with a latency of 5 clock cycles and works at 815.03Mpps throughput. The BV-PC is compared with existing approaches and provides Better improvements in Hardware constraints. 04 30 2020 1468 1474 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.F4195.049620 https://www.ijitee.org/portfolio-item/F4195049620/ Professor, Department of Ship’s Thermal Energy at the National University “Odesa Maritime Academy” (Odessa City, Ukraine), Valerii V. Aftanuk* Oleksiy V. Kiris Head of the Chair of Ship’s Thermal Energy and Full Professor in the National University “Odesa Maritime Academy”, Odessa City, Ukraine. Oleksiy V. Malakhov Professor, Chair of Ship’s Thermal Energy in the National University “Odesa Maritime Academy”, Odessa City, Ukraine. Milhail O. Kolegaev Professor, National University “Odesa Maritime Academy”, Odessa City, Ukraine. Boris A. Garagulya Assotiate Professor, Chair of Ship’s Thermal Energy in the National University “Odesa Maritime Academy”, Odessa City, Ukraine. The present investigation aims to propose results of development of an effective system for the purification of exhaust gases that are emitted to the environment by ship power plant from sulfur oxides (SOx) and solid particles. Numerical simulation of a combined scrubber with vortex plate based on the developed theoretical approach was performed. Mathematical model of aerohydrodynamic and heat-mass transfer processes contains five interconnected modeling blocks. There was investigated the influence of the scrubber’s geometric characteristics onto the quality of its work. As a result, for the elements of vortex plate the rational design parameters were determined (the angle of blades installation for the swirls =60-90, the ratio between internal and outer radius of the swirls R1/R2=0,6-0,7). The interaction of gas aerosol with water foam was studied during numerical simulation. It was done with consideration of hydrodynamic regime on the surface of a vortex plate. As a result, for the scrubber rational design and operating parameters were formulated (inlet flow velocity V=18-25 m/s, the height of foam layer H=70-150 mm, inlet dust concentration 40-50 g/cub.m of the gas to be cleaned, cross-sectional area of the purification unit up to 2 sq.m). Computer-based solid-body scrubber model was created during numerical simulation. CFD modeling of the main hydrodynamic processes based on this model was carried out. It was done for all developed structural solutions for scrubber elements. The main results obtained during CFD modeling of the scrubber operation make it possible to analyze the technology of its use and to achieve a reduction in energy costs while maintaining the quality of gas cleaning. The developed theoretical model of a scrubber gives an ability to simulate the flow of a gas-dust stream considering all changes that were done in the geometry of the scrubber. The very model can also be used to optimize the scrubber’s design depending on the type of production and parameters of the gas to be contaminated. During research works there was formulated a conclusion about the necessity to take into consideration the uneven distribution of the field of velocity when modeling the process of gas purification and cooling inside a scrubber. In order to determine the efficiency of heat transfer process inside the scrubber, heat transfer coefficients were found out. They were compared with characteristics of a traditional scrubber’s model based on a perforated plate. Calculation data have shown an excess of the heat transfer coefficient of the vortex plate by 5-7%. It was stated also that the value of the heat transfer coefficient depends on average velocity and moisture content of the gas to be supplied. The rational design and operational parameters of the scrubber obtained on the models made it possible to develop a pilot industrial model of the scrubber and method of engineering calculation. During experimental studies of the scrubber, new scientific results were obtained. They allow one to establish the technological range of irrigation density values, at which the maximum efficiency of trapping solid particles and sulfur oxides (SOx) is ensured. Experiments were carried out that reveal the relationship between the angle of blades installation of the swirl and the height of the installation of the baffle plate onto the efficiency of foaming and total resistance of the vortex plate. 04 30 2020 1085 1091 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.F4198.049620 https://www.ijitee.org/portfolio-item/F4198049620/ Assistant Professor, Dept. of IT, MGIT, Hyderabad, India Ms. U Chaitanya* G Sravya UG Student, Dept. of IT, MGIT, Hyderabad, India, Sai Priya K UG Student, Dept. of IT, MGIT, Hyderabad, India T Mary Prajwala UG Student, Dept. of IT, MGIT, Hyderabad, India In recent years, social networks based on images are the most popular social interfaces. With colossal pictures transferred regular, understanding client’s inclinations on client produced pictures and causing suggestions to have become a critical need. In fact, many composite models have been proposed to intertwine different sorts of side data like image visual representation, social networks and client-image historical behavior for developing the performance of image recommendation. However, due to the special attributes of the client produced images in social interfaces, prior studies failed to identify the complex angles that impacts the client’s preferences. In addition, the greater part of these half and half models depended on predefined loads in consolidating various types of data, which for the most part brought about problematic suggestion execution in this paper we construct a recommended model based on the hierarchy of social images. In addition to latent client intrigue demonstrating in the well-known matrix factorization-based proposal, we distinguish three key angles (i.e., Trending history, user’s appraisal and owner admiration) that influence every client's latent preferences, where every aspect summarizes a logical factor from the complex connections among clients and images. From that point forward, we structure a hierarchical attention network that normally reflects the hierarchical relationship of client’s latent interest with the distinguished key viewpoints. Finally, we identified three social contextual aspects that influence a client’s preference to an image from heterogeneous data: Trending history, user’s appraisal and relevance recommendation, we designed a hierarchical attention network to recommend images according to client preference. 04 30 2020 1092 1096 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.F4202.049620 https://www.ijitee.org/portfolio-item/F4202049620/ Bachelor of Technology, Computer Science and Engineering at SRM Institute of Science and Technology, Kattankulathur Vishal Burman* Harshinee Sriram Bachelor of Technology, Computer Science and Engineering at SRM Institute of Science and Technology, Kattankulathur S. Usha Kiruthika Assistant Professor, Department of Computer Science and Engineering in SRM Institute of Science and Technology, Kattankulathur Image-transformation problem is a problem in which an input image is transformed to an output image. In most of the recent methods, a feed-forward neural network is defined which utilizes per-pixel loss between the output image and the ground-truth image. In this paper we have showcased that high-quality images can be generated by defining a feature-loss function which is based on high-level perceptual features extracted from pre-trained convolutional networks. We have combined both the approaches that have been formerly mentioned and have proposed a feature-loss function for training a feed-forward neural network capable of image transformation tasks. We have compared out method with that of an optimization based approach, similar to the one utilized in Generative Adversarial Networks (GANs) and our method produced visually appealing results whilst fully capturing the intricate details of the object in the image. 04 30 2020 1097 1102 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.F4203.049620 https://www.ijitee.org/portfolio-item/F4203049620/ Centre for Women’s Studies, Dibrugarh University, Dibrugarh, India. Dr. Priyanka Sharma* Damming rivers is often seen as the panacea of the neo-liberal development paradigm. It is believed to be the fit all solution to problems of agricultural production, flood control, irrigation in arid and semi –arid regions, electricity generation as well as urban development. The industrialization of the world and the adoption of a capital intensive, mechanized and market-oriented production process has dramatically altered the environment as resource-extraction and resource consumption increased manifold. Nature, in fact, became a source of supply of raw materials for feeding the ever growing needs of modernization and development as well as a dump-yard for material waste, slowly heading towards a perilous condition. The paper, therefore, seeks to explore and investigate the issue of damming rivers as a domineering force over nature explicating the power of science over nature. 04 30 2020 1641 1645 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.F4206.049620 https://www.ijitee.org/portfolio-item/F4206049620/ Assistant Professor, Department of Commerce, CHRIST Deemed to be University, Bangalore, India. Lakshmi B* Krishna Prasath S Assistant Professor, Department of Commerce, CHRIST Deemed to be University, Bangalore, India. Information has contributed to the growth of many new business models. Organisations are now sitting on a pile of information, trying to make sense of it and extract valuable insights from it. The objective of the current study is to contemplate the necessity of treating information as an asset and discusses the challenges of presenting it on the balance sheet. The present organizational climate demands big data driven decisions without veracity and approximations, making the role of accurate data, more crucial. More accurate the data is, more leverage it would earn, hence accurate data will be of more value when compared to data with lesser accuracy. This article makes a humble attempt to iterate on the need of quantifying the value of data based on their accuracy. The article is an opinion paper that weaves around the philosophies of accounting, data science and tries to mimic the value web model from management science, for understanding the methods of quantifying the data. A thorough review of the literature and existing regulatory framework is done to derive the insights for the article. The paper helps Chief Information Officers, Chief Financial Officers and Chief Technical Officers to understand and value the information used in the business however does not restrict itself to the strategic information systems vested with these apex authorities. The paper believes that the value for data is generated from the moment it enters into the information systems or the manual records maintained and gets enriched with each and every additional transaction. Once a value is attached, the policies to manage and govern the information would automatically fall in place. 04 30 2020 1938 1942 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.F4208.049620 https://www.ijitee.org/portfolio-item/F4208049620/ Department of Computer Science and Engineering, SRM Institute Of Science And Technology, Kattankulathur, India. Chandra Lekha Dondapati* Ashutosh Ghosh Department of Computer Science and Engineering, SRM Institute Of Science And Technology, Kattankulathur, India. Dr. TYJ. Naga Malleswari Department of Computer Science and Engineering, SRM Institute Of Science And Technology, Kattankulathur, India. Multiple Eye Diseases are currently diagnosed visually by ophthalmologists. In the beginning period, the huge scope screening of eye diseases is outlandish since there are less number of ophthalmologists and in addition these strategies expend additional time. This indicates that in order to correctly identify the disease, manual intervention and the proper infrastructure is important. Owing to the fact that many developing nations are not able to provide their masses with the basic healthcare facilities, the need for computer-aided systems that are robust and inexpensive increases manifold. Over the last few years, convolutional neural networks (CNN) are being increasingly employed for the task of automatic and semi-automatic image classification. Through this paper, we aim to develop a method using deep learning architecture to detect eye disorders in fundus images. In the initial step preprocessing is accomplished for the fundus image, trailed by feature extraction and order. Different evaluations of influenced pictures are tried by the proposed technique and the presentation has been looked at and examined. The models would be tested using standard evaluation metrics to evaluate the effectiveness of the models. 04 30 2020 1388 1393 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.F4209.049620 https://www.ijitee.org/portfolio-item/F4209049620/ Assistant Professor, SRMIST Ramapuram,Chennai,Tamil Nadu, India. S Nandhini* J Harry William B.tech/CSE,SRM IST ,Rampuram,Chennai, ,Tamil Nadu, India. M Gokulakrishnan B.tech/CSE,SRM IST ,Rampuram,Chennai,Tamil Nadu, India. G S Vijay B.tech/CSE,SRM IST ,Rampuram,Chennai,Tamil Nadu, India. The increase in demand for security purpose and detection of objects using the radar system has very much popular in many occasions. A new approach of finding objects under radar using Arduino controller makes it more efficient for Detection and Ranging. The Ultrasonic sensor mounted on the servo Motor produce ultrasonic sound waves ,if an object bounce off in their path it interrupts the sound waves which produce a signal to the user by displaying on computer , laptops or on any screen . This project aims at making an efficient, cheaper and more reliable way that reflects all the possible techniques that a radar consists of. 04 30 2020 1504 1507 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.F4210.049620 https://www.ijitee.org/portfolio-item/F4210049620/ Department of Information Technology, Sri Shakthi Institute of Engineering and Technology, Coimbatore, India. Ashok kumar S* Ragul R.N Department of Information Technology, Sri Shakthi Institute of Engineering and Technology, Coimbatore, India. Praveen Kumar S Department of Information Technology, Sri Shakthi Institute of Engineering and Technology, Coimbatore, India. Gokula krishnan D Department of Information Technology, Sri Shakthi Institute of Engineering and Technology, Coimbatore, India. The period behavioral engagement is commonly used to describe the scholar's willingness to participate within the getting to know the system. Emotional engagement describes a scholar's emotional attitude toward learning. Cognitive engagement is a chief part of overall learning engagement. From the facial expressions the involvement of the students in the magnificence can be decided. Commonly in a lecture room it's far difficult to recognize whether the students can understand the lecture or no longer. So that you can know that the comments form will be collected manually from the students. However the feedback given by the students will now not be correct. Hence they will no longer get proper comments. This hassle can be solved through the use of facial expression detection. From the facial expression the emotion of the students may be analyzed. Quantitative observations are achieved in the lecture room wherein the emotion of students might be recorded and statistically analyzed. With the aid of the use of facial expression we will directly get correct information approximately college students understand potential, and determining if the lecture becomes exciting, boring, or mild for the students. And the apprehend capability of the scholar is recognized by the facial emotions. 04 30 2020 1475 1479 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.E4213.049620 https://www.ijitee.org/portfolio-item/F4213049620/ Department of Chemical Engineering, School of Engineering, Cochin University of Science and Technology, Kerala, India. Kishore Ravindran* Dr. G. Madhu Department of Chemical Engineering, School of Engineering, Cochin University of Science and Technology, Kerala, India. Catalyst shape and size selection is an important aspect of the industrial catalyst design. Shapes of different sizes were made using alumina and characterized using standard methods used in the industry. Tableting machine, extruder and granulating equipment were used for forming different catalytic shapes. The samples were characterized by BET surface area, pore volume (N2 adsorption and water pick-up) and the sphericity & voidage calculations were performed for different alumina shapes. The physical strength and bulk density of the shapes were analyzed using ASTM methods. Spheres exhibited highest pore volume as the forming process exert minimum external force to the material. BET Surface area of all the samples were found comparable. The impact of different shapes and sizes on the pressure drop across the bed was studied for different gas flow rates using a fixed bed reactor set-up. Sphericity & voidage were calculated for different shapes and sizes and a modified Ergun equation was used for theoretical evaluation of the pressure drop. The experimental & theoretical results were compared and the relative error was noted. The study showed how the theoretical and experimental values differ as non-ideality in the flow across the packed bed increases. For special shapes like trilobe extrusions, improved voidage helps to minimise the pressure drop across the bed. 04 30 2020 1103 1109 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.F4214.049620 https://www.ijitee.org/portfolio-item/F4214049620/ Student, B.Tech, Electronics and Communication Engineering, Bapatla Women’s Engineering College, Bapatla Andhra Pradesh, India. P. Swetha Keerthi* SK. Asma Parveen Student, B.Tech, Electronics and Communication Engineering, Bapatla Women’s Engineering College, Bapatla Andhra Pradesh, India. P.A.S.Sree Sowmya Student, B.Tech, Electronics and Communication Engineering, Bapatla Women’s Engineering College, Bapatla Andhra Pradesh, India. R. Vyshnavi Student, B.Tech, Electronics and Communication Engineering, Bapatla Women’s Engineering College, Bapatla Andhra Pradesh, India. Y. Jyosthna Venkat Student, B.Tech, Electronics and Communication Engineering, Bapatla Women’s Engineering College, Bapatla Andhra Pradesh, India. Maha Lakshmi. Bollimuntha (Guide) Assistant Professor at Bapatla Women’s Engineering College, Bapatla, Andhra Pradesh ,India In the desire of experiencing the taste of speed and not following the traffic rules many people are losing their lives in the road accidents. As they were happening far from the living areas the others will not be aware about these accidents and also due to lack of information regarding the accident, the medical facilities were also not able to reach them. To overcome these situations we have designed a GSM-GPS based intelligent vehicle tracking system using Raspberry Pi controller. This system consists of light sensor, MQ135 Alcohol sensor, temperature sensor, accelerometer, video recorder, limit switch sensor, GPS and GSM modems to prevent vehicles from collisions and alert while colliding. All the sensors are connected to the Raspberry pi controller. In addition to this an SD card is provided to collect and save the data from the sensors. We can recover this data from this SD card to know the reason behind the accident and can avoid it from happening again. When an accident is occurred the information about the accident will be sent to the preregistered number through an sms. The main feature of this system is whenever the sensors records a value beyond the specified value whether it is about crossing the lane line, not wearing seat belt, the driver is drunk, or reaching close to the other vehicles etc.., an alert message will be sent to the preregistered number. 04 30 2020 1394 1397 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.F4215.049620 https://www.ijitee.org/portfolio-item/F4215049620/ Dept. of Mechanical Engineering, SSSUTMS, Sehore, Bhopal, M.P, India Paresh G Chaudhary* Dr.G.R. Selokar Professor and Registrar in SSSUTMS, Sehore, Bhopal, M.P, India. In this paper we present new step by step approach for analysis of engine bracket. As we know all engine shocks are supported by engine brackets for heavier engines. Being a critical Component engine bracket must be analyzed properly as it forms a link between stiff chassis and vibrating engine. Complex design of engine bracket demands for proper step by step analysis as it is equivalent complex component as engine, cooling system, transmission system, battery, turbo etc. This present work focuses on the investigation of engine supporting bracket by using ANSYS. This current article accounts for review of the work that has been previously done on engine supporting bracket. This paper will result in suggesting the best suitable material for such complex material and best suitable geometrical options for in depth analysis. In initial stage of analysis three usual industrial materials are taken into account and suggesting best suitable material for industrial applications in all aspects. 04 30 2020 996 1000 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.F4281.049620 https://www.ijitee.org/portfolio-item/F4218049620/ Electronics Engineering, Shri Ramdeobaba college of Engineering and Management, Nagpur, India, Manisha Tejwani* Prof.Mrs. Prachi Rane Electronics Engineering, Shri Ramdeobaba college of Engineering and Management, Nagpur, India, Moin Syed Electronics Engineering, Shri Ramdeobaba college of Engineering and Management, Nagpur, India, Oyesh Patel Electronics Engineering, Shri Ramdeobaba college of Engineering and Management, Nagpur, India. Pragyan Pandey Electronics Engineering, Shri Ramdeobaba college of Engineering and Management, Nagpur, India. Paper introduces a system which provides a platform for a consumer to monitor the meter reading via “ThingSpeak” and control the energy consumption, it will also support in keeping the track of energy meter billing. This system helps us to reduce turmoil’s and energy related dissent. The system is implemented using Atmega328P microcontroller and ESP8266 Wi-Fi module. This system do not require the replacement of the energy meter but we associate this system with the installed energy meter that benefit the consumer, the base for designing and implementation of a system is IoT (Internet of Things). The instantaneous data will be fetched from the meter and uploaded on the ‘ThingSpeak’ IoT cloud platform. 04 30 2020 1480 1483 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.F4301.049620 https://www.ijitee.org/portfolio-item/F4301049620/ C.S(C.S.E), SSVIT, Bareilly, India. Ojaswi Sharma* Himanshu Saxena C.S(C.S.E), SSVIT, Bareilly, India. Diabetic retinopathy is an significant cause of loss of vision and blindness in millions of people worldwide. While screening protocols-fluorescence and optical accuracy to the identification of the disease, in most cases-have been identified, the patients remain unaware, and they can't perform these tests on time. The early diagnosis of the condition plays a vital role in preventing loss of vision which results in a prolonged period of untreated diabetes mellitus between patients. Different profound learning strategies were applied for classification and disease prediction in diabetic retinopathy datasets, but most of them ignoreddata pre-processing and dimension reduction and resulted in partial outcomes. The diagnostic analysis is carried out in this paper with the use of profound learning and the LSTM-RNN methodology in this manner and by segmentation through Fuzzy c. Output indicates that the whole system being tested is validated by the use of 400 MESSIDOR (database) retinal fundus images. 04 30 2020 1771 1774 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.F4309.049620 https://www.ijitee.org/portfolio-item/F4309049620/ Zavoisky Physical-Technical Institute (ZPhTI) - Subdivision of the «Federal Research Center «Kazan Scientific Center of the Russian Academy of Sciences», Kazan, 420029, Russian Federation. Khantimerov Sergey Mansurovich* Fatykhov Ranis Radikovich Zavoisky Physical-Technical Institute (ZPhTI) - Subdivision of the «Federal Research Center «Kazan Scientific Center of the Russian Academy of Sciences», Kazan, 420029, Russian Federation. Bazarov Valery Vyacheslavovich Zavoisky Physical-Technical Institute (ZPhTI) - Subdivision of the «Federal Research Center «Kazan Scientific Center of the Russian Academy of Sciences», Kazan, 420029, Russian Federation. Lyadov Nikolay Mikhailovich Zavoisky Physical-Technical Institute (ZPhTI) - Subdivision of the «Federal Research Center «Kazan Scientific Center of the Russian Academy of Sciences», Kazan, 420029, Russian Federation. Suleimanov Nail Muratovich Zavoisky Physical-Technical Institute (ZPhTI) - Subdivision of the «Federal Research Center «Kazan Scientific Center of the Russian Academy of Sciences», Kazan, 420029, Russian Federation. This work is devoted to the development of porous germanium anode material for lithium-ion batteries. Samples of porous germanium were fabricated by ion implantation of Co+ ions in single-crystal germanium plates. The surface morphology of porous germanium samples with an increase in the implantation dose of Co+ ions was studied. Scanning electron microscopy study revealed that the implantation leaded to the formation of porosity of the surface and the surface morphology differed for different doses of implantation. It is assumed that the obtained Ge material with a porous surface can be used as effective anode material in lithium-ion batteries and will show an increased capacity and charge / discharge rate relative to traditionally used graphite. 04 30 2020 1398 1400 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.F4312.049620 https://www.ijitee.org/portfolio-item/F4312049620/ Zavoisky Physical-Technical Institute (ZPhTI) - Subdivision of the «Federal Research Center «Kazan Scientific Center of the Russian Academy of Sciences», Kazan, 420029, Russian Federation Garipov Ranis Ramisovich* Khantimerov Sergey Mansurovich Zavoisky Physical-Technical Institute (ZPhTI) - Subdivision of the «Federal Research Center «Kazan Scientific Center of the Russian Academy of Sciences», Kazan, 420029, Russian Federation. Suleimanov Nail Muratovich Zavoisky Physical-Technical Institute (ZPhTI) - Subdivision of the «Federal Research Center «Kazan Scientific Center of the Russian Academy of Sciences», Kazan, 420029, Russian Federation. This work is devoted to the study of the effect of carbon nanotubes functionalization on the electrical conductivity of composite materials based on them. Carbon nanotubes were functionalized by treatment in nitric acid and isopropyl alcohol. Changes in the morphology of multi-walled carbon nanotubes during liquid-phase functionalization were investigated using Auger-electron microscopy. Samples of composite material on the basis of initial and functionalized carbon nanotubes and epoxy resin were prepared and the concentration dependence of electrical conductivity using the four-probe method was studied. The study reveals the effect of functionalization in various solutions on the electrophysical properties of the obtained carbon nanotubes/epoxy composites. 04 30 2020 1401 1404 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.F4313.049620 https://www.ijitee.org/portfolio-item/F4313049620/ Tashkent University of Information Technologies, Tashkent, Uzbekistan. М.R. Bаdadjanov* A.A. Kalandarov Gulistan State University, Gulistan, Uzbekistan. U.E. Adambaev Faculty of Math. National University of Uzbekistan named after Mirzo Ulugbek, Tashkent, Uzbekistan. The paper proposes a modified version of the iterative method for numerically solving a three-dimensional uncoupled boundary-value problem that describes the process of thermoplastic deformations of a transversely isotropic parallelepiped. A discrete analogue of the boundary value problem is compiled on the basis of the finite-difference method. A recurrent finite-difference relation is written which allows one to find the desired components of the displacement vector in combination with the iterative method. It is assumed that, at a first approximation, the values of the sought displacements in the internal nodes are trivial. The essence of the method is demonstrated by solving the thermoplastic boundary-value problem for a transversely isotropic parallelepiped. The proposed method can be applied to solve related problems of dynamic thermoplasticity. 04 30 2020 1484 1491 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.F4314.049620 https://www.ijitee.org/portfolio-item/F4314049620/ Ph. D. Research Scholar, Department of CSE, Koneru Lakshmaiah Education Foundation (KLEF), Guntur, A.P.India. Ms.Jyoti Patil* Dr.G. Pradeepini* Professor, Department of CSE, Koneru Lakshmaiah Education Foundation (KLEF), Guntur, A.P.India. Manual segmentation in the brain tumors analyses for malignancy prognosis, via massive amount MRI images produced through medical routine, frustrating task and is a hard. There is a dependence on automated brain tumor graphic segmentation. The amount of precision necessary for scientific purposes is normally as yet not known, and so can't be conveniently quantified actually by means of professional physicians. That is a fascinating point, which includes just sparsely been resolved in the literature, but is nonetheless truly relevant up to now. Additionally, storage space automatization for medical images is essential need nowadays. To carry out very quickly analysis as well as, prognosis there's an imperative want of automated photo storage. Hence, this paper focused on development of new algorithm called “EasyGet” for automatic data storage and retrieval using Hadoop architecture. 04 30 2020 1646 1650 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.F4327.049620 https://www.ijitee.org/portfolio-item/F4327049620/ Department of Civil Engineering, Medi-Caps University, Indore (M.P.), India. Madhur Mahiyar* Punit Singh Sikarwar Department of Civil Engineering, Medi-Caps University, Indore (M.P.), India. Nitin Gupta Department of Civil Engineering, Medi-Caps University, Indore (M.P.), India. Prashant Singh Tomar Department of Civil Engineering, Medi-Caps University, Indore (M.P.), India. Shashank Agrawal Assistant Professor, Department of Civil Engineering, Medi-Caps University, Indore (M.P.), India. The infrastructure is increasing day by day which leads to construction in the space where soil is not much of good strength and the Safe Bearing Capacity of soil is very low. In such areas soil stabilization can prove to be good alternative for improvement in its properties. The stabilization has been found to be effective in improvement of strength and compressibility. If soil is used for any construction purpose like pavement construction or embankments then such constructions may prove to be cost effective. Mixer like what is used in concrete making can be employed to mix the soil with different admixtures (Iron slag and fly ash) and then placing a mix soil for making road and embankment. If such constructions are done without stabilization then it will lead to decrease in strength and also increase in construction cost. The structures built upon such soil may also lead to failure. Initially cement and lime have been used to stabilize the soil but now we need to find other alternatives as there is lot of CO2 emission in the production of cement which is not safe for our environment. The alternatives to be used should not harm to the environment. In the present study we have used fly ash and iron slag in different proportion for red soil which obtained by the weathering of basalt (It is termed as red bole in Geological terms). The percentage of iron slag is used as 2%,4%,6%,8% and 15%by weight of soil and fly ash is used in 10%, 15%, 20% and 25%by weight of soil. After procuring the soil the Standard Proctor Tests were conducted to determine the Optimum Moisture Content and Maximum Dry Density. Red bole soil and black cotton soil are stabilized using iron slag and fly ash and then the results of various tests have been compared. Consistency Limits, Specific Gravity, Free Swell Index, Standard Proctor, Permeability, Direct Shear, Unconfined Compression Strength and Swelling Pressure tests were performed on each soil (i.e. red bole and black cotton). The tests were performed using the standard codes and the methodology as per various IS codes. 04 30 2020 1314 1319 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.F4330.049620 https://www.ijitee.org/portfolio-item/F4330049620/ Department of Computer Science and Engineering, SRM Institute of Science and Technology, Kattankulathur, Chennai, India. K. Pradeep Mohan Kumar* Rushan Mukherjee Department of Computer Science and Engineering, SRM Institute of Science and Technology, Kattankulathur, Chennai, India. Mayank Dewangan Department of Computer Science and Engineering, SRM Institute of Science and Technology, Kattankulathur, Chennai, India. Expansion of farmland and unplanned land encroachments have increased as the earth's population boomed, which has led to uncontrolled deforestation across the world. Deforestation and industrialization have given rise to global warming, causing mayhem in the current ecosystem. The weather patterns are disrupted, and natural calamities are occurring more frequently. The after-effects of these events have to lead to dramatic losses in flora and fauna. Even though a large part of India's land is urbanized, there are many protected areas in specific parts of the country that represent significant vegetation that has been affected if we observe from the scale of a subcontinent. In this paper, we aim to trace the deforestation in the Sundarbans from 1988 to 2019. This period is essential as a lot of industrialization and population boom happened during this time. We have selected the Sundarbans because mangroves are a natural defense to cyclones and also provide shelter to a plethora of living organisms. Our study area covers more than 7000 square kilometers of the Indian Sundarbans. The satellite images are from Landsat-5, Landsat-7, and Landsat-8, which are orthorectified. We make use of open-source software like Quantum GIS (QGIS), Google Earth Engine (GEE), and Google Colab, which is a Python IDE in this project. We make use of the K-means clustering, which is an unsupervised learning algorithm. Here, we have described a method to analyze deforestation accurately using low-cost techniques, which can be used by underdeveloped nations and private organizations to help in the fight against illegal deforestation. 04 30 2020 1651 1656 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.F4335.049620 https://www.ijitee.org/portfolio-item/F4335049620/ Dept. of Electronics Engineering, Fr. Conceicao Rodrigues College of Engineering, Mumbai, India. Monica Khanore* Srija Unnikrishnan Dept. of Electronics Engineering, Fr. Conceicao Rodrigues College of Engineering, Mumbai, India. In this paper we present mathematic analysis and implementation of hybrid interference canceller (HIC) for direct sequence-code division multiple access (DS-CDMA) system in multipath environment over Rayleigh channel. The HIC detector is examined for convergence. The bit error rate (BER) for the system is obtained using Simplified Improved Gaussian Approximation (SIGA). Using this expression, BER is plotted for the Rayleigh channel having exponentially decaying power delay profile (PDP) as well as flat PDP. The theoretical results are compared with the simulated system results. 04 30 2020 2082 2088 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.F4337.049620 https://www.ijitee.org/portfolio-item/F4337049620/ Mechanical Department, Chaitanya Bharathi Institute of Technology, Hyderabad, Telangana, India Dr R.P. Chowdary* Dr N. Janardhan Mechanical Department, Chaitanya Bharathi Institute of Technology, Hyderabad, Telangana, India The research activities related to alternative fuels has gained prominence, due to exhaustion of the present fossile fuels and rise in pollution levels. Any substitute to diesel will help mankind for safeguarding the environment due to redced usage of conventional fuels, as diesel consumption is high in goods transshipment sector and cultivation fields.Suitable replacement for diesel are Vegetable oils, because their cetane value is nearer to pure diesel. The combustion related issues with vegetable oils, either edible or nonedible can be resolved to a major extent by esterifying them.For this study the biodiesel extracted from used cooking oil, was used as fuel, in a 3.68 kW, 1500 RPM stationary diesel engine at distinct injection timings.The injection timings were changed by keeping copper shims between body of fuel pump and frame of diesel engine. The value of optimum injection timing(where maximum efficiency is obtained) was observed to be 310 forbiodiesel and diesel fuels. The performance parameters, combustion characteristics and pollution levels were recorded, at recommended and optimum timings of injection of 270 and 310 before the top dead centre(bTDC).Studies were conducted with pure diesel and biodiesel, made using waste fried vegetable oil (WFVOBD). The biodiesel showed equivalent performance at both manufacturer recommended and experimentally obtained optimum injection timings, but marginally increased levels of NOx 04 30 2020 1595 1599 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.F4346.049620 https://www.ijitee.org/portfolio-item/F4346049620/ Software Engineering \& Information Systems Engineering Team, Computer sciences department, Faculty of Sciences and Technology (FST), Moulay Ismail University, Errachidia, Morocco. Mohamed OUALLA* Khalid OUNACHAD Information System and Multimedia team, Faculty of Sciences (FS), Ibn Toufail University, Kénitra, Morocco Abdelalim SADIQ Information System and Multimedia team, Faculty of Sciences (FS), Ibn Toufail University, Kénitra, Morocco In the area of Object Detection, the most important step is the extraction of object features. One of the most used approaches is HaarLike features and the Integral Image technique to integrate them. The Integral Image technique, used by Viola and Jones, is generally used to calculate the integral of a rectangular filter in an input picture. This filter is a rectilinear rectangle. We propose a method to integrate a rotated one by any angle of rotation inside an image based on the Bresenham algorithm of drawing a segment. We use some pixels – called key points - that forms the four segments of a rotated rectangle, to calculate its Integral Image. Our method focuses on three essential tasks; the first is to determine the rule for drawing a segment (SDR), the second is to identify all the key points of the rectangle r, and the third is to calculate the integral image. The speed of this method depends on the size and angle of rotation of the rectangle. To demonstrate the efficiency of our idea, we applied it to the rotated Haar-like features that we proposed in a later work [12], which had as objectives the improvement of the Viola and Jones algorithm to detect the rotated faces in a given image. We performed tests on more widespread databases of images, which showed that the application of this technique to rotated Haar-Like features improves the performance of object detectors, in general, and faces in particular. 04 30 2020 1849 1855 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.F4349.049620 https://www.ijitee.org/portfolio-item/F4349049620/ PhD, Lecturer at Le Quy Don Technical University, 236 Hoang Quoc Viet Str., Hanoi, Vietnam. Minh-Hong Nguyen* Hoang-Minh Dang PhD, Lecturer at Industrial University of Ho Chi Minh City, 12 Nguyen Van Bao, W. 4, D. Go Vap, Ho Chi Minh City, Vietnam. High performance concrete (HPC) has been used widely for many applications such as high-rise building, highway bridges, tunnels, ect. Although up to the present time there are many recommendations and guidelines issued from research institution on the method how to achieve HPC mix proportion, around the world engineers often spent a lot of time to do preliminary experimental tests in order to select the optimal mix especially when dealing with tailored-made HPC. This paper presents an innovative visual interactive analysis method (VIAM) with the application of parameter space investigation, which helps engineer efficiently in automation and process control of proportioning HPC mix. Component content of tailored-made HPC is considered as a solution of a mathematical model with six objective functions controlling by ten constraints and seven parameters. Indeed, VIAM has played an important role in successfully determining 18 Pareto optimal solutions of this complex model for three particular scenarios set by engineers. 04 30 2020 2089 2100 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.F4350.049620 https://www.ijitee.org/portfolio-item/F4350049620/ Graduate School of Engineering and School of Engineering, Nagoya University, Nagoya, Japan Abderahmane Boucetta* The focus on SOG-Si for solar cell production have been increased in the recent years. A low cost Si requires a production with less electric energy used, less impurities and fast process. Reducing C presence in Si ingots generally is necessary. In the present work, we attempted to develop a new method to segregate SiC from the bulk Si by means a new shape of ingots that we designed. We have used a conventional induction furnace for this process. A comparison study between 2 shapes of graphite ingots was performed. We have succeeded in segregation of SiC from Si during the carbo-thermal reduction process of silica. the results revealed that The first ingot contained 34.3% of SiC while the second ingot had 100% of Si from about 13mm distance from the ingot bottom. 04 30 2020 1657 1660 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.F4351.049620 https://www.ijitee.org/portfolio-item/F4351049620/ Department of Electronics and Communication Engineering, SLIET Longowal, 148106, India Neeraj Julka* A.P Singh Department of Electronics and Communication Engineering, SLIET Longowal, 148106, India The present paper reports the development of a machine vision system for quality inspection of wheat using kernel shape attribute. Shape attribute of agricultural products including wheat kernels is extremely difficult to quantify in digital computation. A new method is proposed in the present work to quantify shape attribute of wheat kernels using regional boundary descriptors. Recognition task in the proposed machine vision system is carried out by neural classifier trained with Levenberg-Marquardt (LM) based supervised learning. Proposed neural classifier was executed using feed-forward back-propagation based three layer artificial neural network. Experimental results indicate more than 98.1% overall average classification accuracy for the involved wheat and impurity elements in the present work. The results of present study are quite promising and the proposed machine vision system has potential future for on-line inspection of agriculture produce in real time environment. 04 30 2020 1001 1009 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.F4354.049620 https://www.ijitee.org/portfolio-item/F4354049620/ M.E Student, National Institute of Technical Teachers Training & Research, Chandigarh, India Anamika* Dr.Lini Mathew Associate Professor, National Institute of Technical Teachers Training & Research ,Chandigarh, India This paper proposed a hybrid system a combination of photovoltaic source and wind energy with Diesel system. The objective of the proposed work is to implement P&O mechanism on MPPT system, to implement Fuzzy Inference System based MPPT system and to implement PID based MPPT system. The simulation of the proposed Perturb and observe (P&O) and Fuzzy Logic algorithms MPPT techniques is done in MATLAB and results are compared in terms of certain parameters. It is analyzed that fuzzy Logic MPPT approach is the most efficient approach performs well as compared to existing technique. 04 30 2020 1492 1497 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.F4356.049620 https://www.ijitee.org/portfolio-item/F4356049620/ School of Electronics Engineering (SENSE), B. Tech, ECE with specialization in Internet of Things and Sensors, Vellore Institute of Technology, Vellore, India. Velivala Pavan Karthik* Anirudh Lalithkalyan Pusuluri School of Electronics Engineering (SENSE), B. Tech, ECE with specialization in Internet of Things and Sensors, Vellore Institute of Technology, Vellore, India. Ravi Kumar CV School of Electronics Engineering (SENSE), Senior Assistant Professor, Vellore Institute of Technology, Vellore, India. Street Lights consume a lot of power overnight, even though they do not appear to. This paper describes a way to reduce that power consumption while also storing the data in the cloud. In a fast trending world, storing data on the cloud is good for better maintenance and monitoring. This paper also gives a method to control the lights remotely, if required. The lights will be ON in the evening from dusk, and will remain ON in high density traffic areas, till late night. Then, the time when traffic reduces, lights will start working autonomously. This traffic intensity and timings will vary from place to place. These street lights communicate via the fields in the cloud, and will ON the lights before the vehicle even reaches the next area, for a safe margin and to prevent accidents. The main aim of this proposal is to not only reduce power consumption of unused street lights at night, but to also implement it with the help of a cloud to get data for future implementations, which will help make a better cloud-based system in the future. 04 30 2020 1498 1503 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.F4357.049620 https://www.ijitee.org/portfolio-item/F4357049620/ Assistant Professor, Department of Electronics & Communication Science, Dharmamurthi Rao Bahadur Calavala Cunnan Chetty’s Hindu College, Pattabiram, Chennai K. Udayakumar* Dr.N.P. Subiramaniyam Head, Department of Electronics and Communication Systems, Nehru Arts and Science College, Thirumalayampalayam, Coimbatore. The classification of drinking water quality severity from RO production plant needs appropriate methods to provide intelligible alert to the operators who involve to carry out remedial action in pace with the production. The proposed technique finds more relevance to detect instantly the quality variations in plant through efficient classification system and drives to reduce the cumbersome of operators. In this paper, it is proposed a SVM based classification method to detect drinking water quality attributes temporally and then precisely classifying severity condition in order to correct quality derivations. A different control scheme is experimented to detect quality variables like pH, TDS, ORP and EC and to support production system. Thus this contributes an automated diagnosis of water quality in RO plant. For classification, SVM is trained with data obtained around 8 plants from West and North of Chennai region. This is demonstrated specifically for a top-level classification job on Quality. On the features extracted from 1280 data, the SVM is trained and achieves a sensitivity of 85% and an accuracy of 90% 04 30 2020 2125 2133 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.F4358.049620 https://www.ijitee.org/portfolio-item/F4358049620/ Department of CSE, Vignan Institute of Technology and Science, Yadadri Bhuvanagiri Dist., Hyderabad, India. B. RATNA KANTH* Dr. K. Venkata Ramana Department of CS & SE, A.U. College of Engineering(A), Andhra University, Visakhapatnam, India. With the increasing of digitization and massive adoption of advanced technologies in the various industries such as automotive, food, electronic goods etc. not only transform the equipment manufacturer’s operating mode, but also changing the business models. In particular textile industry, the raw materials are collected from different other industries, end products are manufactured, distributed and sold globally. Supply chain and logistics, in particular, are considered as fertile ground for a blockchain implementation due to the several parties involved in the logistic processes and the lack of trust that usually characterize the industry. In this paper, we addressed the automatic textile industry supply chain as case study, in which we present a non – destructive way of ensuring the traceability of different operational modes of supply chain. We have implemented automatic block chain-based framework, which helps track and trace every mode of operation in supply chain. The proposed framework is simulated in Ethereum platform and the result shows the proof – of – concept of proposed model that can be used for wide range of future smart applications. 04 30 2020 1661 1669 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.F4365.049620 https://www.ijitee.org/portfolio-item/F4365049620/ Electrical Engg., Govt. Polytechnic, Hisar, India. Jagdish Chander* Suresh Kumar Electronics & Comm. Engg., Govt. Polytechnic, Hisar, India. Ashok Kumar Electronics & Comm. Engg., Govt. Polytechnic, Hisar, India. Dr. Priti Prabhakar Electrical Engg., GJUS&T, Hisar, India. Krishan Kumar Electrical Engg., GJUS&T, Hisar, India. In this paper, a study is performed for designing of Solar Rooftop photovoltaic system for factory complex. The detail design analysis for the accurate design is presented. The suitability of proposed plant is analyzed using PVsyst software. Taking consideration of proposed design, 300 KW solar rooftop photovoltaic plant is installed. The data monitoring of installed solar plant is an essential part for accessing efficiency of plant with respect to estimated capacity. In this paper, implemented IOT model for cloud based data monitoring system is presented. The presented data analysis of this paper is helpful for commercial analysis of solar photovoltaic project. 04 30 2020 1943 1947 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.F4367.049620 https://www.ijitee.org/portfolio-item/F4367049620/ Department of EEE, Kumaraguru College of Technology, Coimbatore, India. Nirmala. M Gayathri. R* Department of EEE, Kumaraguru College of Technology, Coimbatore, India Keerthana. R Department of EEE, Kumaraguru College of Technology, Coimbatore, India. Deepika. M Department of EEE, Kumaraguru College of Technology, Coimbatore, India. In this digital world, RFID technology is applied to many applications in different fields such as transportation, health-care, industries etc. This technology along with Internet of things (IOT) facilitates wireless identification using active and passive tags with suitable readers. In this paper, RFID technology is applied for passport verification system to authenticate the passport holder. This avoids forgery and manual work associated with traditional passport verification system. The passport checker checks the passenger’s passport by means of e-passport embed with RFID tag, fingerprint sensor and OTP through GSM. This e-passports are used in strengthening the security and helps the Airport authorities to identify the movement of order breakers or antisocial elements. 04 30 2020 1775 1777 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.F4371.049620 https://www.ijitee.org/portfolio-item/F4371049620/ Dept. of Electrical and Electronics Engineering, Sri Krishna College of Technology, Coimbatore, India. Vanitha. V* Sabarish. D Dept. of Electrical and Electronics Engineering, Sri Krishna College of Technology, Coimbatore, India. Sudhan G Dept. of Electrical and Electronics Engineering, Sri Krishna College of Technology, Coimbatore, India. Tharani N Dept. of Electrical and Electronics Engineering, Sri Krishna College of Technology, Coimbatore, India. Varunya V Dept. of Electrical and Electronics Engineering, Sri Krishna College of Technology, Coimbatore, India. Finding techniques to meet the growing power demand is the greatest challenge for industrialists, engineers and entrepreneurs of the country. Wind energy is emerging as one of the various renewable energy sources, which contributes to the appreciable energy demand in the world. This paper focuses on the fabrication of multirotor windmill, which has two sets of turbine blades, out of which, one set of blades rotates in the clockwise direction and the other set in the anticlockwise direction. Conventional method is used for the design of blades. The floor space required for both the windmills are same. The two sets of blades are coupled by a Bevel gear mechanism which in turn, produces a uniform torque. When compared to the normal windmill, the proposed windmill has higher efficiency due to the presence of second set of blades. 04 30 2020 1778 1781 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.F4372.049620 https://www.ijitee.org/portfolio-item/F4372049620/ Dept. of Electrical and Electronics Engineering, Sri Krishna College of Technology, Coimbatore, India. Vanitha. V* Santhosh. R Dept. of Electrical and Electronics Engineering, Sri Krishna College of Technology, Coimbatore, India. Nikhil Adithya.M Dept. of Electrical and Electronics Engineering, Sri Krishna College of Technology, Coimbatore, India. Praveen. G Dept. of Electrical and Electronics Engineering, Sri Krishna College of Technology, Coimbatore, India. Priyanka. R Dept. of Electrical and Electronics Engineering, Sri Krishna College of Technology, Coimbatore, India. Globally, the waste management is becoming a challenging problem because of garbage accumulation due to poor urban planning, overcrowding, etc. In last few years, robotic research is drawing more attention due to its effectiveness in helping humans to bring the waste-free environment as many waste material may cause healthy problems to human beings. This work aims to design and fabricate a robotic arm with four servomotors, which are controlled by a mobile app and Arduino microcontroller. Android based Mobile app is created to control the robotic movements. Two servomotors guide the robot for backward and forward movement and remaining two servomotors for picking and placing the garbages. 04 30 2020 1782 1784 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.F4373.049620 https://www.ijitee.org/portfolio-item/F4373049620/ Assistant professor of Information technology in SRM IST Ramapuram, Tamil Nadu,India. Mr.Satheesh Kumar* Keerthivas. B.H department of Information Technology,SRM IST Ramapuram,Chennai,Tamil Nadu,India Rishi. K department of Information Technology,SRM IST Ramapuram,Chennai,Tamil Nadu,India Jeya srinivasan department of Information Technology,SRM IST Ramapuram,Chennai,Tamil Nadu,India Electronic Medical Records are now widely used by medical organizations as a replacement for physical manual records of the patients. These Electronic Medical Records (EMR) were effectively adopted as a result of the evolution in the field of Information technology supported by more innovative computer science engineering feats, as the EMR systems became more advanced it still had a drawback of being vulnerable to cyber attacks, which will eventually compromise the integrity and confidentiality. Hence the same EMR system is built along with the use of Block-chain technology on a cloud storage platform, this system will be integrated with various features compatible for the interoperability between the patients and medical service providers. The main objective of this project is to leverage maximum cyber protection to the EMR system. 04 30 2020 1948 1952 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.F4377.049620 https://www.ijitee.org/portfolio-item/F4377049620/ Assistant Professor in Department Computer Science at University College for women(A), Osmania University. T.Shekar Reddy* Y.Rama Devi Ph.D in Computer Science and Engineering from Central University of Hyderabad, India. The improved edition of conventional wireless networks provides a mobile temporary network (MANET), which is extremely appropriate for urgent situations. However, in a similar instance, its infra-low and resource limit creates many challenges in its performance. The growing security risks are probable to take place due to dynamic behavior and the absolute communication cycle which are based on unnoticed nodes, which dropped packets as they desire. Reliable and trusted nodes can reduce communications overhead and many past security schemes have suggested that high turnover can be achieved. Several security studies are expected to be trustworthy and less expensive. This paper aims to propose a self-assured approach (SAA) based on trust assessment for secure routing to secure high-security constancy and security for reliable database delivery based probability assessment. The assessment will be evaluated and the node maintains and identifies among random momentary errors and deliberate malicious actions and asses a node total trustworthiness to have secure and safe communication. 04 30 2020 1670 1675 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.F4380.049620 https://www.ijitee.org/portfolio-item/F4380049620/ computer engineering, Parul Institute of Technology, Vadodara, india. Umang panchal* Dr. kiritkumar modi computer engineering, Parul Institute of Technology, Vadodara, india. Rapid growth in the use of cloud base service comes up with so many challenges. Service providers of cloud base service looking for the best solution to these challenges. Users of service sends the request for a particular task so at a time number of request sends by different users for different task, this all task need to be complete in a particular time is one of the biggest challenges in cloud computing It is defined as a workflow scheduling. Parallel other key points are better utilization of resources, reduce make span time, energy-saving and many more consider as QoS parameters. Researchers conduct so many Qos parameter oriented research to make it efficient The Aim of this review paper is to provide systemic review and better understating of ongoing research on different approaches and service providers always looking for better solutions of challenges to maintain service level. 04 30 2020 2219 2222 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.F4392.049620 https://www.ijitee.org/portfolio-item/F4392049620/ EEE, R.M.K. College of Engineering and Technology, Thiruvallur District, Chennai, India D. Nageswari* N. Kalaiarasi EEE, R.M.K. College of Engineering and Technology, Thiruvallur District, Chennai, India G. Geethamahalakshmi EEE, R.M.K. College of Engineering and Technology,ThiruvallurDistrict,Chennai,India P Ajay Mohan EEE, R.M.K. College of Engineering and Technology, Thiruvallur District, Chennai, India. M N Karthick Sutharsan EEE, R.M.K. College of Engineering and Technology, Thiruvallur District, Chennai, India. In recent surveys, the electrical accidents to the linemen are increasing year by year due to the improper communication between the electrical staff and the substation. These faults occur during maintenance and there is no proper coordination between the people to people. This paper deals about this issue and the solution brought out to reduce electrical accidents due to these communication failures. In our day to life, the applications of embedded systems are used in everywhere and it is cost effective and better accuracy and precise of results will get. Currently, the research is going on the basis of embedded systems which includes microcontroller plays a vital role. Recent technology like Arduino based system is used by implementing the password protection in circuit breaker. Password is entered by the specific person and there is a provision of password changing system. Arduino UNO is used to control the signal in the relay module and the matrix keyboard is introduced to enter the input and LCD display is used to display the output and the ON/OFF switches provided as the loads through the Relay switch. By using this system, accidents can be prevented and valuable human lives can be saved. 04 30 2020 1405 1410 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.F4394.049620 https://www.ijitee.org/portfolio-item/F4394049620/ Professor, Sona College of Technology, (Autonomous), Salem, Tamil Nadu, India. D. Jegatheeswaran* V. Narmatha PG Student, Sona College of Technology, (Autonomous), Salem, Tamil Nadu, India. Concrete is a major part of construction material in the world. The major drawback of concrete is easily cracks by low tensile strength. The innovative technology of introducing bacteria in the concrete to self-remediating of cracks in concrete. Formation of calcium carbonate in the crack surface due to the improvement of crack sealing performance. This current study focus on self-healing development of concrete. An MICCP (Microbiologically Induced Calcium Carbonate Precipitation) technique is an occurrence in managing the concrete cracks. Three different cell concentration of bacillus subtilis bacteria (20×105, 20×106 and 20×107 cells/ml) were introducing in concrete specimen, to find the optimum concentration of bacteria cell. From the optimum cell concentration the crack width measurements are carried out at the age of 7 days, 14 days and 28 days respectively. To calculate the crack width by two (Wet &Dry) different methods of healing agents were used. Microbial concrete have that enhancement of compressive and tensile strength. The formation of calcium carbonate was observed and visualized by scanning electron microscopy (SEM). Chemical composition of sample analyzed by energy dispersive spectrometer (EDS). Identification and quantification of bacterial concrete observed by X-ray diffraction (XRD) 04 30 2020 1856 1860 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.F4396.049620 https://www.ijitee.org/portfolio-item/F4396049620/ Department of Computer Science, LBS Institute of Technology, Kerala, India. H. Setalaxmi* Dr. Sumithra M.D. Department of Computer Science, LBS Institute of Technology, Kerala, India. Prof.Anilkumar E.N Department of Mechanical Engineering, LBS Institute of Technology, Kerala, India. Threaded fasteners are category of bolts used in the joint assembling of aerospace structure. Torque is the process of applying a force that works at a circular distance and rotates the threaded fasteners at the bolted joints of these structures. With the aid of this torqueing force the two different parts are clamped together to form the joints. Due to torqueing there arises an opposing force which is known as the frictional force. The frictional force in threaded portion of the bolt transforms the applied Torque into stress. Due to this stress there is a chance of joint loosening or bolt fracture which is considered to be critical. Hence, selection of torqueing force for a desired preload is a major issue in joint deployment. The friction coefficient is a key factor for estimating the torque that is required for the fasteners to be deployed in the aerospace structures. There are many features which influence the friction coefficient for example size, pitch, thread tolerance. Till date only experimental methods and theoretical formulae has been used to estimate the friction coefficient, torque and preload. This paper identified the key features which are most correlated to coefficient of friction using the fisher score filtering technique and ca boost algorithm for both numerical and categorical datatypes. Along with that gives the insight on the torque, preload and coefficient of friction which are associated in fastening of the bolted joint in different non-permanent aerospace structures. 04 30 2020 1676 1680 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.F4405.049620 https://www.ijitee.org/portfolio-item/F4405049620/ Dr. Prof. EPCE, ASTU, Ethiopia. Dong Hwa Kim* Getachew Teshome Dawit Dubela, Yosef Dentamo, PG student, EPCE, ASTU. Ethiopia. Hinsermu Alemayehu Header of EPCE, ASTU, Ethiopia. Dawit Dubela PG student, EPCE, ASTU. Ethiopia. Yosef Dentamo PG student, EPCE, ASTU. Ethiopia. This paper deals with design method of fuzzy controller for improving efficiency of DC-DC power converter. To design optimal control by fuzzy, this paper introduces optimal switching time and optimal switching mode of PWM. DC-DC Power converter is one of energy conversion device to transfer DC input source to DC output. When they transfer DC to DC, they have been using PID controller or fuzzy controller. Therefore, the efficiency of DC conversion strongly depends on PID parameter. Some papers illustrate tuning method of PID controller for this but have not been mentioning about the switching time and switching mode that can influence on the efficiency of DC-DC conversion. This paper suggests effective DC-DC conversion method by means of introducing switching time and switching mode into fuzzy based PID tuning. 04 30 2020 1785 1790 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.F4406.049620 https://www.ijitee.org/portfolio-item/F4406049620/ department of ECE, Dr. Mahalingam College of Engineering and Technology, Coimbatore, India. Gokul Anand. K.R* Rajalakshmi. N.R School of Computing, Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology, Chennai, India. Karthik. S department of EEE, PSG College of Technology, Coimbatore, India. Agriculture stands as a center-piece in Indian economy. In spite of being important, it faces challenges from production to financial incompetence’s. Indian agriculture is raged by several problems such as meager farm equipment’s, lack in quality toolsets, unusual monsoons or outbreaks of pest. Our present day world emerges with innovative technologies in farming such as soil and moisture sensors devices, meteorological tracking systems, remote sensing through satellite imagery, autonomous rovers and drones, agri-genetics, RFID tracking devices and finally vertical farming technology to help us transform our challenges into opportunities. These technologies can help us to transform our Indian agriculture farming systems into be a sustainable one. Sustainability in agriculture is possible only, when we have a constant supply of natural resource such as sunlight, water, moist-air, soil, and organic manures rich in nutrients in its proportion. To achieve this system, we must develop a controlled environment to check all the parameters of natural resources and use them according to their needs and quantity. Hydroponics is promise ably one such sustainable method of cultivating plants comparing to traditional farming techniques. The uniqueness of the system is utilization of water to less than 10 %. Secondly, the hydroponic system yields more veggies and fruits in a short span of time. This is achieved by selecting proper grow bed such as alluvial soil balls, rock wool, charcoal and gravels. The medium is selected based on nutrient retention rate in the grow bed with respect to cultivation of veggies. Hence, hydroponics agriculture production system gives promising yield round the year. And also, this system is commercially scalable and adaptable by all sectors of people. We can either start as small green house system in home or to a highly productive industrial scale. The paper proposes one such home based hydroponics system for tomato plants. The system follows ebb-flow method in hydroponics cultivation with fine grained gravel stones as grow bed medium. To monitor the growth of tomato plants, the system is equipped with sensors. These sensors measure the growth rate with respect to nutrient supplies for tomato plants. It is done in a controlled physical environment through IoT enabled devices. Thus, ensuring its yield for a sustainable productivity. 04 30 2020 1861 1867 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.F4411.049620 https://www.ijitee.org/portfolio-item/F4411049620/ Professor and Principal, Department of Mechanical Engineering, Government Engineering College, Raichur, Karnataka, VTU, Belagavi, India. K R Dinesh Gururaj Hatti* Assistant Professor, Department of Mechanical Engineering, KLS VDIT, Haliyal-581329, VTU, Belagavi, India. Vishwanath V.H Assistant Professor, Department of Mechanical Engineering, B.L.D.E.A's V. P. Dr. P. G. Halakatti College of Engineering & Technology, Vijayapur-586103, Karnataka, India., VTU, Belagavi, India. V.S. Konnur Assistant Professor, Department of Mechanical Engineering, B.L.D.E.A's V. P. Dr. P. G. Halakatti College of Engineering & Technology, Vijayapur-586103, Karnataka, India., VTU, Belagavi, India V.S. Kanal Assistant Professor, Department of Mechanical Engineering, B.L.D.E.A's V. P. Dr. P. G. Halakatti College of Engineering & Technology, Vijayapur-586103, Karnataka, India., VTU, Belagavi, India. Recently, leading to its various attractive properties, Polymer matrix composites are suitable material in medical applications. This includes a light weight to high strength, a simple and complex shape easy to process. This paper describes the effect of Alumina, CaCO3, and TiO2 reinforcements with bio polymer UHMWPE matrix. The samples were fabricated by injection molding machines with different particle reinforcement percentages. On prepared samples, various experiments have been carried out, viz tensile, bending, impact, hardness, and wear. Samples were developed according to the ASTM standard. Polymer matrix composites of 65% LDPE + 5% TiO2 + 15% Al2O3 + 15% CaCO3 is suitable biomaterial candidate. Thus, it can be used in an orthopedic approach applied on hard or soft tissues. 04 30 2020 2101 2104 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.F4502.049620 https://www.ijitee.org/portfolio-item/F4502049620/ Computer Science and Engineering, SRM IST KTR, Tamil Nadu India. Priyansha T Jat* Nikhil Nautiyal Computer Science and Engineering, SRM IST KTR, Tamil Nadu India. Dr. M. Pushpalatha Computer Science and Engineering, SRM IST KTR, Tamil Nadu India. Chennai also referred to as Madras is located on the Coromandel Coast off the Bay of Bengal. It's the largest cultural, economic and academic center of south India. The city faced an acute water shortage in June 2019. Chennai was entirely captivated with spring water resources to fulfill its water needs. There are four reservoirs within the city, namely, Red Hills, Cholavaram, Poondi and Chembarambakkam, with a combined capacity of 11,057 mcft. These are the main sources of water for the town. Apart from the reservoirs, alternate sources of fresh water are Minjur and Nemelli desalination plants; Cauvery water from Veeranam lake; aquifers in Minjur, Panchetty and Neyveli; Here is an initiative to place together a dataset that has the data about the varied water sources available within the city using LSTM (Long Short Term Memory), TensorFlow, NumPy, Keras and ANN (Artificial Neural Network). The idea is to figure out whether we can use this dataset to: 1. Visualize the water need / usage of the town 2. Identify whether the water sources availability is going to be able to meet the wants till the following monsoon? 3. How bad is the current water crisis compared to previous years? 04 30 2020 1681 1685 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.F4505.049620 https://www.ijitee.org/portfolio-item/F4505049620/ Department of Mechatronics & Robotics, Koneru Lakshmaiah Education Foundation (Deemed to be University), Vaddeswaram, Guntur (Andhra Pradesh), India. Inapanuri. Aditya Hemanth kumar* Dr. Anne Jagadeesh Professor, Department of Mechanical Engineering, Koneru Lakshmaiah Education Foundation (Deemed to be University), Vaddeswaram, Guntur (Andhra Pradesh) India. Malla Praveen CEO at Robocoupler Techno Solutions, Visakhapatnam (Andhra Pradesh), India. Isukapatala Brijesh Department of computer science and engineering, Gayatri vidya parishad , Visakhapatnam (Andhra Pradesh), India. Multifunctional Rendering Swarm robot make a huge impact in this present busy world . This robot works perfectly as an surveillance robot as well as an personal assisting robot for household purposes and most of the work that carried on is swarm mechanism of the personal assisting robots. This have dual mechanism for moment such as mecanum wheel as well as Klann mechanism to the six legs to overcome the hard terrain landscapes in particular house surroundings , with and arm mechanism to pick and place of assigned objects. This robot can be controlled by voice as well as limited hand gestures to perform tasks which use text to speech and speech to text, Convolution Neural Networking (CNN) respectively . This robot have a 3600 night vision camera for surveillance at night times through OpenCV . This will be doing parallel jobs such as talking to you as an assistant , cleaning house , and many more . as the advancement in the world is not up-to the real time applications, this helps in interfacing future and present situations to get updated. As swarm robots, this will be updating its status to the fellow robots and assigning particular task to divide and do faster which depends on deep learning and artificial intelligence. All this can be acknowledged and examined by any nominee of the user who are at distant places in case of any emergency and respond as a speech modulation talk back , digital display available for commands display or any work been processed, time consuming smart work is been done through this robot. This is also equipped with the sanitizer for the people hygiene and safety. This robots can also be used in military, schools, software industries and many more industries. 04 30 2020 1953 1956 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.F4508.049620 https://www.ijitee.org/portfolio-item/F4508049620/