-4d90550d17f4602e089-6b97 20220319081844648 beie:beie director@blueeyesintelligence.org WEB-FORM International Journal of Innovative Technology and Exploring Engineering IJITEE 22783075 10.35940/ijitee https://www.ijitee.org/ 03 30 2020 9 5 Scholar, Computer Science & Engineering, RMIT, Mandi, Gobindgarh, India. Kanav Sadawarti* Dr. Satish Saini Electronics communication & Engineering, RMIT, Mandi, Gobindgarh, India The cloud is an online platform that offers services for end-users by ensuring the Quality of services (QoS) of the data. Since, the user’s access data through the internet, therefore problem like Security and confidentiality of cloud data appears. To resolve this problem, encryption mechanism named as Rivest–Shamir–Adleman (RSA) with Triple Data Encryption Standard (DES) approach is used in hybridization. This paper mainly focused on two issues, such as Security and Storage of data. The Security of cloud data is resolved using the encryption approach, whereas, the data storage is performed using Modified Best Fit Decreasing (MBFD) with Whale Optimization algorithm (WOA)&Artificial Neural Network (ANN) approach. The neural network with the whale as an optimization approach model makes sure the high confidentiality of cloud data storage in a managed way. From the experiment, it is analyzed that the proposed cloud system performs better in terms of energy consumption, delay, and Service Level Agreement (SLA) violation. 03 30 2020 195 199 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.D1359.039520 https://www.ijitee.org/portfolio-item/D1359029420/ Lecture in Department of Physics Education, Universitas Halu Oleo, Kendari, Indonesia. Abdin* Hunaidah Lecture in Department of Physics Education, Universitas Halu Oleo, Kendari, Indonesia. Luh Sukariasih Lecture in Department of Physics Education, Universitas Halu Oleo, Kendari, Indonesia. Amiruddin Takda Lecture in Department of Physics Education, Universitas Halu Oleo, Kendari, Indonesia. La Sahara Lecture in Department of Physics Education, Universitas Halu Oleo, Kendari, Indonesia. The purpose of this research is to provide innovations to physics education lecturers in using physics learning media based on Macromedia Flash applications in lectures as a learning medium and students can improve their problem-solving abilities in solving problems in other fields.. Also, motivating physics education lecturers to use technology in conducting lectures in the room. The target of this research is in the form of products resulting from the development of learning media based on Macromedia Flash applications. The resulting product is expected to: (a) improve the ability of problem-solving in students, (b) motivate physics education lecturers to use technology in conducting lectures in the room. This research method is Reseach and Development by using a development model that consists of five stages : (1) preliminary investigation, (2) design, (3) realization/construction, (4) test, evaluation, and revision. Preliminary results of this study are the feasibility of developing learning media based on Macromedia Flash applications to improve students' problem-solving abilities on the subject matter of passive electronics can be seen based on the assessment or validity of the material experts obtained a mean score of 3.55 with a valid category. For the assessment or validity of the media, experts obtained an average of 3.63 with a valid category. The effectiveness of the results of the development of learning media based on Macromedia flash applications to improve students' problem-solving abilities on the subject matter of passive electronics can be seen based on inferential analysis using the test paired t–test was obtained tcount = 10.60 dan ttable = 2.05 with a significant level of 5%, df = 29. The results of these calculations show that tcount > ttable which means that the difference is due to the provision of different behaviours every time they conduct a pre-test evaluation before there is treatment and post-test after there is a treatment. 03 30 2020 470 477 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.D1376.039520 https://www.ijitee.org/portfolio-item/D1376029420/ Department of ECE, Kuppam Engineering College, Kuppam, India. B Rajasekhar* Dr. K. Rasadurai Associate Professor, Department of ECE, Kuppam Engineering College, Kuppam, India. The network-on-Chip (NoC) design is the modern development in communication as the integration of the multiple network blocks in a single chip. Before the NoC, system on chip (SoC) was implemented. Development in the day to day the features were added to overcome the SoC like potential of the system on chip, operation frequencies, wiring congestion and size of the chip etc., as the SoC has the long sensitive path which shows the impact on the size of the chip. In wiring congestion: Routing a particular data with SoC requires lot of wirings. Coming to the NoC also developed in packet transferring from source to destination. Serial communication were first used to transfer as it take much time to transfer the data packets from the source to destination to overcome the serial path communication, parallel communication is used. In Parallel communication the packets are transferred from source to destination at a time. To improve the packet transfer in network many techniques are used like mesh topology, tree topology etc. The existing system will supports only the mesh topology and one to many packet transfer. In the proposed system, the new parallel multicast which uses the Globally Asynchronous and locally Synchronous Network on Chip (GALS NoC) that includes both Synchronous and Asynchronous Transmission with a slight change in IPM and OPM Architecture to support both synchronous and asynchronous transmission and reception of data packets. It has several advantages like it supports efficient many-to-one traffic, it is suitable for any topology and has improved Throughput. 03 30 2020 1085 1090 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.D1403.039520 https://www.ijitee.org/portfolio-item/D1403029420/ Jeppiaar Institute of Technology, Tamil Nadu, India. S. Mary Cynthia* L. M. Merlin Livingston Jeppiaar Institute of Technology, Tamil Nadu, India. An efficient H-shaped micro strip multiband antenna is constructed and simulated with slot structure of Split Ring Resonator (SRR) in a ground plane as Defected Ground Structure (DGS) for high frequency applications is proposed. Micro Strip patch antenna is mostly preferred because of its very good radiation properties. Also it is the light weight and low cost device so its usage is very high and its fabrication method is very easy. DGS is used to alter the current path in the ground part of the patch antenna by making this it provides multiband support. The H shape patch antenna with the proper ground plane is normally chosen for increasing the bandwidth of the antenna by providing impedance matching and reduce loss. This type of antenna mostly used in where small size and broad beam width are required. In the simulation VSWR, radiation pattern, gain, return loss were measured using simulation software HFSS. 03 30 2020 2156 2157 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.D1416.039520 https://www.ijitee.org/portfolio-item/D1416029420/ Research scholar, Bharathiar University, Coimbatore Mahesh S Nayak Dr. M. Hanumanthappa Professor, Department of Computer Science & Applications, Bangalore University, Bangalore. *Dr. B R Prakash Assistant Professor, Department of Computer Science, Government First Grade College, Tiptur, Karnataka. Dattasmita H V ICT Manager. Tumakuru Smart City Limited, Tumakuru, Karnataka, India In the last decades, and due to emergence of Internet appliance, there is a strategical increase in the usage of data which had a high impact on the storage and mining technologies. It is also observed that the scientific/research field’s produces the zig-zag structure of data viz., structured, semi-structured, and unstructured data. Comparably, processing of such data is relatively increased due to rugged requirements. There are sustainable technologies to address the challenges and to expedite scalable services via effective physical infrastructure (in terms of mining), smart networking solutions, and useful software approaches. Indeed, the Cloud computing aims at data-intensive computing, by facilitating scalable processing of huge data. But still, the problem remains unaddressed with reference to huge data and conversely the data is growing exponentially faster. At this juncture, the recommendable algorithm is, the well-known model i.e., MapReduce, to compress the huge and voluminous data. Conceptualization of any problem with the current model is, less fault-tolerant and reliability, which may be surmounted by Hadoop architecture. On Contrary case, Hadoop is fault tolerant, and has the high throughput which is recommendable for applications having huge volume of data sets, file system requiring the streaming access. The paper examines and unravels, what efficient architectural/design changes are necessary to bring the benefits of the Everest model, HBase algorithm, and the existing MR algorithms. 03 30 2020 1032 1036 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.D1454.039520 https://www.ijitee.org/portfolio-item/D1454029420/ Computer Science Department, BINUS Graduate Program – Master of Computer Science, Bina Nusantara University, Jakarta, Indonesia Ditdit Nugeraha Utama Dwi Adji Prasetyo Information System Department, UIN Syarif Hidayatullah, Jakarta, Indonesia. Finka Aninditha Anggari Information System Department, UIN Syarif Hidayatullah, Jakarta, Indonesia. Firas Abdullah Bar Information System Department, UIN Syarif Hidayatullah, Jakarta, Indonesia. Muhammad Fascal Bhaskara Information System Department, UIN Syarif Hidayatullah, Jakarta, Indonesia Numerous types of public transporter in one region (in Indonesia) should be examined. The paper presents a decision support model (DSM) for examine the properness of public transporter implemented in one region (district) in Indonesia. Main method operated technically in this study is fuzzy logic with rule base as an engine core. Three types of public transporter examined are ojek, metromini, and angkot; respectively, in Indonesia they are public motorcycle, public mini bus, and public family vehicle. Four geographical parameters considered in the model are road traffic condition, traffic road length, rainfall, and congestion point. The model was finally able to recommend the most proper public transporter implemented in seven districts. 03 30 2020 1673 1676 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.D1460.039520 https://www.ijitee.org/portfolio-item/D1460029420/ Assistant Professor in Dept of Information Technology, Anurag Group of Institutions, Hyderabad, India. B. Pruthvi Raj Goud S. Sravan Reddy Assistant Professor in Dept of Information Technology, Anurag Group of Institutions, Hyderabad, India. K. Praveen Kumar Assistant Professor in Dept of Information Technology, Anurag Group of Institutions, Hyderabad, India. Till today attendance marking is manual event for many educational bodies. It is a mandatory, common and important activity in day to day life of a faculty member. Manual attendances maintaining is bit difficult process, time consuming effort while doing analysis or report generations on it. Few automated systems are developed to overcome those complexities. Still there are so many drawbacks like cost effective, fake generation, accuracy. To overcome these initiations, there is a need of innovative a smart and automated attendance system. This paper exactly focused on producing a secure attendance marking system which is based upon one of the human gesture as Face. There are two stages to implement the approach. One is face detection using Haar classifier. Second one is face recognition using LHBP classifiers which is generated from trained faces.The proposed system is going to record the attendance of the people who are present in a classroom environment autonomously and this is an easiest way to produce the analysis and proof oriented approach makes as reliable applications. 03 30 2020 337 342 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.D1506.039520 https://www.ijitee.org/portfolio-item/D1506029420/ ECE department, Kongu Engineering College, Perundurai, India. Dr. N. Kasthuri* S. Yuvashree ECE department, Kongu Engineering College, Perundurai, India. Issues confronted in Radar frameworks at SDSC are, It is exceptionally troublesome for them to track an flying machine and discover its point, run and rise. With the existing ACSs, being incapable to provide the required information capacity. Since this misfortune of communication takes put between the ground station to the discuss station, discuss crashes may happen. Thus to dodge these kind of issues, modern proposed framework is defined. The full Duplex and Half Duplex systems can be combined to form a Hybrid Duplex Systems (HBD-ACS). In the existing Half duplex system, there was a crux in the spectrum mainly in the aeronautical industry. Hence the new HBD-ACS in proposed which eliminates the progressive interference. Progressive interference detector includes two methods namely, expressions of SNR gain and blackout probability. The Full duplex system may consists of the leftover interference. Hence to eliminate this, Interference Ignorant detector and SIC detector are used. Hence from the HBD-ACS, the diversity gain will be non-zero and the interference can be limited. 03 30 2020 980 982 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.D1516.039520 https://www.ijitee.org/portfolio-item/D1516029420/ Lecturer, Government Polytechnic Awasari College, Pune, India. Ms. Nilam Ganpat Jadhav Dr. Shashikant Madhukar Bakre Professor, Department of Electrical Engineering, AISSMS Institute of Information Technology College, Pune, Maharashtra, India. Mrs. Ashpana Shiralkar Head, Department of Electrical Engineering, AISSMS’s Institute of Information Technology, College, Pune, Maharashtra, India. Ms. Nilambari V Devarkar Lecturer, Government Polytechnic, Awasari College, Pune, India. Dr. S. V. Bhangale H.O.D, Department of Electrical, Government polytecnic awasari khurd, India. The conventional AC/DC Railway Traction Systems are undergoing number of improvements. Thanks to modern technologies such as Renewable Energy Systems (RES), Energy Storage Systems (ESS) and Hybrid Energy Storage Systems (HESS). At present the traction transformers cater electric supply to traction motors and auxiliary loads which may not be adequate enough to meet demands. Furthermore in the event of failure of traction supply, the alternative source of supply is required. This papers suggests a noval method of feeding auxiliary loads through the integration of RES and ESS. Solar and Wind power are vital renewable energy sources. The pros and cons of proposed method are also discussed in this paper. 03 30 2020 899 903 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.D1560.039520 https://www.ijitee.org/portfolio-item/D1560029420/ Studing ECM, Koneru Lakshmaiah Education Foundation, Vijayawada, India. K. R. Naga Jyothi* M. Monish Sai Studing ECM, Koneru Lakshmaiah Education Foundation, Vijayawada, India S Suryanarayana Studing ECM, Koneru Lakshmaiah Education Foundation, Vijayawada, India. Venkata Ratnam Kolluru Associate Professor, ECM Department, Koneru Lakshmaiah Education Foundation,Vijayawada, India. Rajendraparasad Narne partner teacher, EEE, Madanapalle establishment of innovation and science, madanapalle This paper explains the Internet of Things (IoT) based Wi-fi controlled robot by using Node MCU for android applications. Some of the sensors such as temperature sensor, pressure sensor, humidity sensor, ultrasonic sensor is used to develop the smart application. The smart robot has been implemented and used with android mobile instead of a normal joystick method. The reaction time of the sensors is less than 0.03sec. The humidity sensor can be able to range upto10 to 45 degrees. The main aim of this application is to control the robot by an android application and can be controlled with a distance up-to 200mts. The rate of data will be refreshed in the database in every 30 seconds, which means the developed smart robot can work dynamically. These types of Robots are called Nonautonomous robots. This application has been developed by using Node MCU. 03 30 2020 200 203 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.D1572.039520 https://www.ijitee.org/portfolio-item/D1572029420/ Ph.D. Scholar, Suresh Gyan Vihar University (SGVU), Jaipur, Rajasthan, India. *Sasmita Nayak Neeraj Kumar Department of Mechanical Engineering, Suresh Gyan Vihar University (SGVU), Jaipur, Rajasthan, India. B. B. Choudhury Department of Mechanical Engineering, Indira Gandhi Institute of Technology (IGIT), Odisha, India. The task scheduling of any industrial robots is a prior requirement to effectively use the capability by obtaining shortest path with optimum completion time. In this article, we have presented Travelling Salesman Problem (TSP) with Genetic Algorithm (GA) search technique based task scheduling technique for obtaining optimum shortest path of the task.TSP finds an optimal solution to search for the shortest route by considering every location for completing the required tasks by setting up GA. This article embrace the adaption and implementation of the Genetic Algorithm search strategy for the task scheduling problem in the cooperative control of multiple resources for getting shortest path with minimize the completion time for two zone specific task allocation problem. It can be inferred from the simulation results that the Genetic Algorithm search technique can be considered as a viable solution for the task scheduling problem 03 30 2020 1771 1775 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.D1595.039520 https://www.ijitee.org/portfolio-item/D1595029420/ Research Scholar, Department of Electrical and Electronics Engineering, Koneru Lakshmaiah Education Foundation, Vaddeswaram, Andhra Pradesh, India B. Mabu Sarif* D. V. Ashok Kumar Professor, Dept. of EEE, Rajeev Gandhi Memorial College of Engineering & Technology, Nandyal, Andhra Pradesh, India M. Venu Gopala Rao Professor & Head, Department of Electrical & Electronics Engineering, Prasad V. Potluri Siddhartha Institute of Technology, Vijayawada, Andhra Pradesh, India IMC tuned PID controller’s present excellent set point tracking but sluggish disturbance elimination, because of introduction of slow process pole introduced by the conventional filter. In many industrial applications setpoint is seldom changed thus elimination of disturbance is important. The paper presents an improved IMC filter cascaded with Controller PID tuned by internal model principle (IMC-PID) for effective elimination of disturbance and healthy operation of non-regular first order process such as processes with no delay. The suggested filter eliminates the slow dominant pole. The present study shows that the recommended IMC filter produces excellent elimination of disturbance irrespective of where the disturbance enters the process and provides acceptable robust performance to model disparity in provisions of maximum sensitivity in comparison with other methods cited in the literature. The advantages of the suggested technique is shown through the simulation study on process by designing the IMC tuned PID controllers to maintain identical robustness in provisions of maximum sensitivity. The integral error criterion is used to estimate the performance. The recommended filter produces excellent response irrespective of nature of the process. 03 30 2020 261 265 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.D1610.039520 https://www.ijitee.org/portfolio-item/D1610029420/ Department of Electronics and Communication Engineering, Jeppiar SRR Engineering College, Chennai, India. Mr. Rajat Kumar Dwibedi Dr.E. Logashanmugam* Department of Electronics and Communication Engineering, Sathyabama Institute of Science and Technology, Chennai, India. Nowadays control applications play a major role in different applications such as industrial automation, robotics, automobiles, power systems etc. The all-digital phase-locked loop (ADPLL) is a digital controller can be used commonly for all kind of control applications based on the application requirement. In the work, KGMO based ADPLL is proposed to perform the rotation control of an induction motor (KGMO-ADPLL-IMSC) under various load conditions by the varying current. The proposed ADPLL is tested in an induction motor (IM) to control the rotation of the motor under certain load conditions. Various parameters such as speed, torque, phase, amplitude and offset values are considered to generate the control signal. Root mean square error (RMSE) is considered as the objective function for the KGMO algorithm. Least error is considered for the best fitness function for the better performance. In this work, the current control technique is used to perform the rotation control of the induction motor. Various performance such as torque, speed and stability are measured under various load conditions. KGMO-ADPLL-IMSC design is implemented in an integrated MATLAB/SIMULINK environment under various inbuild and custom libraries. Experiments show that the KGMO-ADPLL-IMSC strategy is altogether improved the performance in terms of all performance evaluation graphs. 03 30 2020 2189 2195 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.D1628.039520 https://www.ijitee.org/portfolio-item/D1628029420/ PT Tower Bersama Group, Jakarta, Indonesia. Ardi Maulana* Ahmad Nurul Fajar Information Systems Management Department, BINUS Graduate Program-Master of Information Systems Management, Bina Nusantara University Jakarta, Indonesia. Evaluation of IT services at PT. Tower Bersama group includes 5 processes in the service operation that is Incident management, Problem management, event management, service fulfillment and access management. based on the evaluation that has been done management can know the process that is still not good and get proposed improvement based on evaluation results. 03 30 2020 1776 1779 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.D1667.039520 https://www.ijitee.org/portfolio-item/D1667029420/ Student, Department of Civil Engineering, Hindustan Institute of Technology and Science, Chennai, India. P. Pooja Geetanjali Chandam Student, Department of Civil Engineering, Hindustan Institute of Technology and Science, Chennai, India. Yanchen Oinam Student, Department of Civil Engineering, Hindustan Institute of Technology and Science, Chennai, India. Dr. Pratheeba Paul* Professor, Department of Civil Engineering, Hindustan Institute of Technology and Science, Chennai, India. The growing concerns about climate change and global warming, resulting from the increased concentrations of carbon-di-oxide in the atmosphere have created considerable interest in carbon sequestration. Carbon is usually sequestered in oceans or deep in the earth`s crust. But these processes require a lot of time and need additional energy investments for carbon to be sequestered. It is noted that cement industries contribute to 5% of global CO2 emission and it is estimated that 50% of global cement production will be from India and China by 2050. Also, in the current time, when trees are being cleared for the construction of buildings, which is estimated to release 1.5 billion tons of CO2 into our atmosphere every year, some measures must be taken to give back to the environment. Thus, if carbon is stored in concrete it is likely to stay for longer time, without any changes in its state. An attempt has been made in this study to sequestrate carbon in concrete. The study concentrates on estimating the carbon uptake in percentage in various mixes of concrete under favourable conditions. M15 and M20 mixes are cured by carbonation and the strengths are tested. In addition, the depth of carbonation and the strength gain due to carbonation are determined. Efforts are done to identify the other physical properties of the blocks cured in this manner. 03 30 2020 551 553 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.D1738.039520 https://www.ijitee.org/portfolio-item/D1738029420/ PG Student, Department of Civil Engineering, Holymary Institute of Technology and Science, Rangareddy, Telangana, India. Kalvala Abhiram* Mudigonda Harish Kumar Assistant Professor, Department of Civil Engineering, Holymary Institute of Technology and Science, Rangareddy, Telangana, India This paper discusses the Ultimate Bearing Capacity of a stabilized soil by using the fly ash, stone dust and rubber powder for design of a pavement. This paper will help in utilization of locally available waste materials to reuse in the subbase and subgrade layers of pavement. Rubber powder is a waste byproduct generated from the recycling of tires, and is not so easy for degradable, and hence leads to release of harmful gases when it tends to burn. Stone dust is a locally available waste generated product from quarries. The generation of stone dust is increasing day to day in large quantity. The huge quantity of stone dust storage amount will affect the quality of soil. Fly ash is waste combusted coal ash powder generated from the steamers of coal boilers with the burning of fuel gases together. In the sub grade layer the soil is mixed in different proportions with stone dust for hard foundation. In the sub base layer the soil is stabilized with the combination of rubber powder and fly ash. When the rubber powder and fly ash, mixed with water for compaction generates a bond between the soil particles to settle the air fields. In this paper various percentages of rubber powder, stone dust and fly ash with different samples for pavement is layered, and after that plate load test is conducted upon it. 03 30 2020 2349 2351 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.D1807.039520 https://www.ijitee.org/portfolio-item/D1807029420/ Dept. of Comp. Sci., Indira College of Comm. & Sci. Pune, Pune, India. Vijaya Kumbhar Dr. Jyoti Yadav Dept. of Comp. Sci., Savitribai Phule Pune University, Pune, India. Dr. Ajay Kumar MCA Dept., JSPM’s Jaywant Technical Campus, Pune, India. Developments in Cloud Computing has opened up new avenues for cutting – edge technology applications. It is the conventional technology that deploys the applications and services on internet servers instead of traditional servers. Software-as-a-Service (SaaS) allows access to a variety of applications on the cloud commonly known as Multi-scale applications. Social and Professional media like Whatsapp, Facebook, Twitter, Instagram, LinkedIn, ResearchGate etc. have migrated to cloud. The terms scale and scalability in cloud environment has been used in different contexts. The applications can be scaled up or down based on the network traffic scenario, and has thus opened up a Pandora’s Box in new research and development of multi–scale cloud based applications. This conceptual paper attempts to review literature across various domains where the term multi-scale, scaling, cloud based application have been used and arrive at a reasonable, crisp, concise yet accurate definition of the term multi – scale and multi–scale cloud application. The term “Multi – Scale” is used in various fields referring to multiple scales applied to arrive at solutions to spatio-temporal problems. This conceptual paper attempts to associate a formal definition to the term “multi-scale cloud application” in the cloud computing world. The proposed definition of the said term is extremely relevant in the context of multi–scale applications developed in recent times. 03 30 2020 1229 1235 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.D1808.039520 https://www.ijitee.org/portfolio-item/D1808029420/ Asst. Professor, Dept. of Computer Application, Maharaja Surajmal Institute of Technology College in Delhi, India Neetu Anand* The objective of the study is to help the parents to track their child daily activities on computer, for which, there is a need to develop a Monitoring and Tracking System for computer and internet usage. To achieve the stated goals a framework was established and implemented. The interface was designed in such a way so as user will not get a sense that his or her activities are being traced. The database contain all the recorded logs to check over-all usage pattern over time, thus enabling parents to recall the past events and subsequently behavioral aspects of their child. In this study, Web usage mining for monitoring activity of kids has been addressed. The experiment was conducted on the dataset collected by using the developed software. The monitoring system (Systrack)has been compared with other available software’s and it was found that Systrack was able to perform all the functions which other software’s are capable of, in addition Systrack used data mining techniques to find the behavioural pattern of kids in different situation. 03 30 2020 2383 2388 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.D1814.039520 https://www.ijitee.org/portfolio-item/D1814029420/ Research Scholar, Department of Mechanical Engineering, Periyar Maniammai Institute of Science & Technology, Vallam, Thanjavur, Tamilnadu, India S. Saravanan* M. Saravanan Senior Professor, Department of Mechanical Engineering, Ponjesly College of Engineering, Nagercoil, Tamilnadu, India. D. Jeyasimman Associate Professor, Department of Mechanical Engineering, PeriyarManiammai Institute of Science &Technology,Vallam, Thanjavur, Tamilnadu, India S. Vidhya UG Student, Department of Mechanical Engineering, Kongunadu College of Engineering and Technology, Trichy, Tamilnadu, India M. Vairavel Research Scholar, Department of Mechanical Engineering and Science, Vels University, Pallavaram, Tamilnadu, India An ANN or Artificial Neural Network is prototypical that is employed to connect the variety of parameter space. The air bend contains curve force and spring-back. These are predicted through the numerical and semi-logical model. A number of researchers examine these models. A collection of information is fitted by Artificial Neural Network which has high flexibility, the capacity to delineate non-straight connections and parallel usage, collaborations of process parameters, Vigor and the adaptation to non-critical failure are the main characteristics of ANN. Due to these characteristics, and the device of ANN successfully monitors the problems. The significant quality of ANN is that the "U" shaped profile of bending among the information that is involved in the associations of parameters and mind-boggling and the sheet metals bend researchers. 03 30 2020 110 115 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.D1819.039520 https://www.ijitee.org/portfolio-item/D1819029420/ Research Scholar, Department of Mechanical Engineering, Periyar Maniammai Institute of Science & Technology, Vallam, Thanjavur, Tamilnadu, India S. Saravanan* M. Saravanan Senior Professor, Department of Mechanical Engineering, Ponjesly College of Engineering, Nagercoil, Tamilnadu, India.. D. Jeyasimman Associate Professor, Department of Mechanical Engineering, PeriyarManiammai Institute of Science &Technology,Vallam, Thanjavur, Tamilnadu, India S. Vidhya UG Student, Department of Mechanical Engineering, Kongunadu College of Engineering and Technology, Trichy, Tamilnadu, India M. Vairavel Research Scholar, Department of Mechanical Engineering and Science, Vels University, Pallavaram, Tamilnadu, India The formation of the quality of sheet metal had been influenced through spring-back. The exact forecast and directing bouncing were significant. So that the tools are designed for the establishment of sheet metal. Numerous methods had been forecasted for bouncing recompense through alteration of the outline of the tooling. This approach was iterative FEM. In these papers, a systematic method was offered for single-step alteration of the outline of the tooling in channel establishment procedure to recompense the bouncing error. In a limited moment, the outline of the target could be attained through the optimal outline of the die. This establishment is based on these approaches. The set of rules of bouncing recompense through reverse FEM is also summarized. The consequences of the systematic method overlap through those of FEM. The exactness of the attained results was proved through the consequences of the experiment. So that there is the attainment of high exactness. 03 30 2020 116 122 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.D1820.039520 https://www.ijitee.org/portfolio-item/D1820029420/ BTech Student in Computer Science and Engineering at Vellore Institute of Technology, Vellore, India. Tanmay Jain* Ayush Raina BTech Student in Computer Science and Engineering at Vellore Institute of Technology, Vellore, India. Dr. Boominathan P Associate Professor, School of Computer Science and Engineering, Vellore Institute of Technology. In this paper, we have created a chat application which uses socket programming for communication and all of the messages are saved in mongoDB. We have taken Docker application and hosted it on a three-node swarm cluster. This cluster uses Docker swarm technology to create a private network through which each of the nodes can talk to each other along a specified RPC port. The application runs in each node as a service and all load coming to the application has been balanced across three IP addresses in the swarm. This creates a distributed system and each node can act as a manager or a worker in the system. This technique helps to decrease the execution time to run servers on the cloud and can help improve the feasibility of online servers provided by the IT companies. 03 30 2020 999 1003 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.D1837.039520 https://www.ijitee.org/portfolio-item/D1837029420/ Computer Science & Engineering department, Indur Institute f Engineering & Technology, Siddipet, India. Dr. Jogannagari Malla Reddy* Kothuri Parashu Ramulu Computer Science & Engineering department, Indur Institute f Engineering & Technology, Siddipet, India. Dr. BV. Ramana Murthy Computer Science & Engineering department,Stanley College of Engineering for Women, Abids Hyderabad, India. Graphical user interface plays the vital in the human computer interaction. It exchanges the information and improves the communication. The user interface development represents an initial step towards the integration among the software developer and Human Computer interaction. Upcoming complexity Systems needs the developer to make User interface design is more flexible, understandable, adaptable and accessible to the end user. Software development identifies the importance of user interface design but don’t form concise guidelines for its construction and its quality with in the life cycle. The intent of the research paper is to describe the guidelines for user interface design quality, customization and construction. It highlights the various benefits, quality guidelines, construction and supporting tools in perspective of user interface design. The information is useful for researchers, developers and professional of the user interface design for forth coming generations. 03 30 2020 778 782 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.D1849.039520 https://www.ijitee.org/portfolio-item/D1849029420/ Electrical and Electronics Engineering, Kongu Engineering College, Erode, India. K. Ranjith Kumar* R. Reegha Shreyaa Electrical and Electronics Engineering, Kongu Engineering College, Erode, India. K.M. Thiyaneswaran Electrical and Electronics Engineering, Kongu Engineering College, Erode, India R. Santhosh Electrical and Electronics Engineering, Kongu Engineering College, Erode, India. S. Gururajan Electrical and Electronics Engineering, Kongu Engineering College, Erode, India. Usage of Electricity is gradually increasing in day-to-day life. Normally Electrical energy consumed in homes and Industries are measured using the energy meter. In the growing technology, the methodology of measuring the energy and bill calculation should be in a smarter way. The traditional method of billing system using the energy meter needs skilled person to calculate the energy and for the billing. In this paper it is proposed a smart way to measure energy using LabVIEW software for the real time energy measurement. Also, it is possible to measure the following parameters- Power factor, KWH, Voltage, Current, Frequency and Bill amount as on date. LabVIEW system integrated with DAQ hardware to measure the voltage and current. The developed system calculates electricity consumption according to the power factor (unity, leading and lagging) and generates the bill under multi-tariff structure. 03 30 2020 783 786 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.D1855.039520 https://www.ijitee.org/portfolio-item/D1855029420/ Department of Information Technology, College of Computer, Qassim University, Saudi Arabia Rehan Ullah Khan* Saleh Albahli Department of Information Technology, College of Computer, Qassim University, Saudi Arabia Waleed Albattah Department of Information Technology, College of Computer, Qassim University, Saudi Arabia Mohammad Nazrul Islam Khan Department of Computer Engineering, College of Computer, Qassim University, Saudi Arabia Existing models on defect prediction are trained on historical limited data which has been studied from a variety of pioneering and researchers. Cross-project defect prediction, which is often reuse data from other projects, works well when the data of training models is completely sufficient to meet the project demands. However, current studies on software defect prediction require some degree of heterogeneity of metric values that does not always lead to accurate predictions. Inspired by the current research studies, this paper takes the benefit with the state-of-the-art of deep learning and random forest to perform various experiments using five different datasets. Our model is ideal for predicting of defects with 90% accuracy using 10-fold cross-validation. The achieved results show that Random Forest and Deep learning are giving more accurate predictions with compared to Bayes network and SVM on all five datasets. We also derived Deep Learning that can be competitive classifiers and provide more robust for detecting defect prediction. 03 30 2020 343 349 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.D1858.039520 https://www.ijitee.org/portfolio-item/D1858029420/ Principal, OM Institute of Engineering & Technology, Junagadh, India. Dr. Hitesh V. Paghadar* Due to the impact of inrush current of transformer, made a voltage drop by source impedance as well as by sensitive loads. That’s why, necessary action is required to reduce the inrush current. Many factors like, secondary winding load, material of transformer core, Saturation flux/residual flux of transformer core, capacity of transformer, supply impedance, voltage-starting phase angle, are affecting the inrush current of transformer. Some different types of methods for inrush current reduction are listed in this paper. Out of that, sequential switching method is adopted for the reduction inrush current. 03 30 2020 1 4 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.D1868.039520 https://www.ijitee.org/portfolio-item/D1868029420/ Associate Professor, Delta Technological University, Egypt. Mohamed M. A. Elgazzar* BenBella S. Tawfik Associate Professor, Department of Computers and Informatics, Suez Canal University, Ismailia, Egypt. Managing of water resources is an important future issue. Modeling is fundamental in preparation and organization of water resource system. Forecasting of occasions request identify proper models to be used in this process. Water is the main living source on earth. The most common and fundamental source of water on earth supporting the survival of the majority of life forms is Rainfall. Time arrangement investigation which incorporates modeling and estimating constitutes a instrument of foremost significance with reference to a wide extend of logical purposes in meteorology (e.g. precipitation, stickiness, temperature, sun powered radiation, surges and drafts). The show work applies the Box-Jenkins approach, utilizing SARIMA (Regular Autoregressive Coordinates Moving Normal) demonstrate is utilized to perform brief term estimates of month to month time arrangement such as precipitation. Modeling the past watched precipitation time arrangement values which result in utilized to anticipate long run amounts in agreement to the past. The demonstrate is tried by confirming the past precipitation information. In turn, the research produces a solid future figure. This show is assessed by implies of the AIC-, BIC-, and SBC- demonstrate. 03 30 2020 1780 1786 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.D1869.039520 https://www.ijitee.org/portfolio-item/D1869029420/ Dept of ECE, Vaagdevi College of Engineering, Warangal, Telangana, India. Shivaprasad Martha* Dr. Sandeep Kumar V* Dept of ECE, SR Engineering College, Ananthsagar, Hasanparthy-506371, Warangal, Telangana, India. Aiming at the problem of massive MIMO pilot contamination, a user location information based pilot allocation scheme is proposed. The proposed scheme sorts the users and assigns pilots in accordance to the polar angle of the user's location in the polar coordinate system with the base station of the cell as the pole. The scheme combines the characteristics of the directional large line, and by controlling the reuse distance of the pilots in a relatively long range, the goals of reducing pilot contamination is improving system reachability and speed. Simulation results show that the proposed scheme not only effectively reduce pilot contamination among users, but also improves the performance gap between different users with the improved system fairness. 03 30 2020 204 210 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.D1885.039520 https://www.ijitee.org/portfolio-item/D1885029420/ Associate Professor, Mechanical Engineering Department, P V P Siddhartha Institute of Technology, Vijayawada, India. Dr. K. Srividya* M. Radha Devi Assistant Professor, Mechanical Engineering Department, P V P Siddhartha Institute of Technology, Vijayawada, India. Dr.M. Nagaswapnasri Assistant Professor, Mechanical Engineering Department, P V P Siddhartha Institute of Technology, Vijayawada, India. J. Surendra Assistant Professor, Mechanical Engineering Department, P V P Siddhartha Institute of Technology, Vijayawada, India. P. Anuroop II B.Tech student, Mechanical Engineering Department, P V P Siddhartha Institute of Technology, Vijayawada, India. The shape of a radiator cover is crucial either in determining the pattern of air flow or in increasing the same through the radiator core thereby increasing the thermal efficiency, thus making it a necessity to understand it. Moreover the parts circumjacent to the core namely the upper tank, lower tank, cooling fan, fins, tubes, etc promote the air flow rate. Also it is to note that the air flow rate of discharge gases from radiator core is one of the prime factors in determining the automobile cooling system. Initially factors such as temperature, pressure, air flow rate that affect the performance are obtained in order to derive out the entities of operation. One of the observations that can be made through this paper is that as the volume of the coolant increases, the rate of heat dissipation increases, also parameters like inlet temperature and volume flow rate of coolant, air velocity, temperature drop and drop in pressure of coolant are factors that contribute in radiator performance evidently. 03 30 2020 554 558 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.D1894.039520 https://www.ijitee.org/portfolio-item/D1894029420/ M.Phil, Department of Computer Science, Dr.Umayal Ramanathan College for Women, Karaikudi Pl. Yazhini Visalatchi Associate Professor, Department of Information Technology, Dr.Umayal Ramanathan College for Women, Karaikudi. DDoS attack is one of the significant security threats in today’s Internet world. The main intention of the network thread is to make the resource unavailable such as flooding attacks. Here, Machine learning algorithms have been used for detecting DDoS attacks. Generally, the success of any algorithm has depended on the selection of appropriate data sets and the identification of attack parameters. The KDD-CUP dataset has been taken for a detail investigation of the DDoS attack. The K-nearest neighbor, ID3, Naive Bayes and C4.5 algorithms are compared in a single platform concluding with the positives with Naive Bayes. The main objective of the paper is to compare and predict the error rate, computation time, Accuracy of the algorithms using the Tanagra tool. Finally, these correlative algorithms have been compared and verified through experimental verification and graphical representation. 03 30 2020 1601 1606 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.D1895.039520 https://www.ijitee.org/portfolio-item/D1895029420/ Assistant Professor, Department of Electrical and Electronics Engineering, Kongu Engineering College, Erode, Tamil Nadu, India. P. Sethupathi* E. Srinidhi Student, Kongu Engineering College, Perundurai, Erode, Tamilnadu, Tamil Nadu, India. K. R. Kousick Raj Student, Kongu Engineering College, Perundurai, Erode, Tamilnadu, Tamil Nadu, India. M. R. D. Youvasri Student, Kongu Engineering College, Perundurai, Erode, Tamilnadu, Tamil Nadu, India. D. Karthikeyan Student, Kongu Engineering College, Perundurai, Erode, Tamilnadu, Tamil Nadu, India. In this new era, modernization plays a key role. Many human tasks are now being replaced with innovations and robots. There is an urge to handle modern technology. Only a few are interested in climbing trees due to many disparities faced by hikers but demand high pay. This results in a tremendous demand for tree climbing manpower. There are different approaches available for the climbing of coconut trees, however, they require people to accompany the mechanical structure. The idea of a smart remote-controlled tree climbing mechanism is proposed to make the climbing process easier and convenient. Coconut tree climber is a machine used without human effort to climb coconut trees and harvest coconut. It consists of a hexagonal frame holding all the devices inside it and by adjusting the driver circuit, the complete structure can be driven up and down. This mechanical frame set-up is made of lightweight material. Gear motors are powered by the driver circuit wherein the battery supplies. The treewidth usually differs between 45 cm and 55 cm. By considering the tree structure the frame size is designed accordingly. Since width changes between trees, the mechanical frame is constructed with various diameters using spring mechanism. Grip wheels are used to produce friction. Gear motors are used which produces small quantity of regeneration. The battery can store this energy and reuse it. The Robotic arm is placed on the mechanical frame to pick the coconut without any crew from the tree. The machine's cost is about ₹ 20k. This automated remotecontrolled coconut climber is supposed to be very obligatory for farmers. 03 30 2020 1339 1344 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.D1900.039520 https://www.ijitee.org/portfolio-item/D1900029420/ Pursuing Ph.D., Department of Structural Engineering, Jawaharlal Nehru Technological University Hyderabad, Telangana, India. K. Ashwini* Dr. P. Srinivasa Rao Professor, Deparment of Civil Engineering, JNTUH College of Engineering Hyderabad, Telangana, India. After water the most widely used substance on Earth is concrete. Manufacturing of cement for concrete consumes vast quantities of energy and releases CO2 in the process, which can be conserved by using supplementary cementitious materials. These materials enable to use hundreds of millions of tons of byproduct materials thereby reducing waste disposal problem and replacing part of cement without deduction of equivalent engineering properties in binary blended or even ternary blended concrete. India is growing at an unprecedented pace and roads, bridges, dams, skyscrapers etc. are the need of an hour of the city. The Skyline is changing and with it demand for a sustainable, durable, eco-friendly and high performance concrete is increasing, to address this challenge a new generation micro fine pozzolanic material Alccofine can be used in concrete which opened the path for innovative research in the field of civil engineering. In this paper review on effect of recently developed Alccofine for sustainable development of concrete industry is studied. 03 30 2020 2317 2321 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.D1913.039520 https://www.ijitee.org/portfolio-item/D1913029420/ Assistant Professor(G.L), N.K.R Govt. Arts College for Women, Namakkal, Tamilnadu, India. P. Manjula* Dr.P. Sundararajan* Assistant Professor, Department of Mathematics, Arignar Anna Govt. Arts College, Namakkal. Tamilnadu, India. Right now shows another route sort of identifying an edges and corners in the computer vision calculation. The Edge location is a key purpose of numerous calculations, both in picture preparing and video handling. It is significant that the calculation is proficient quick to bring out through the whole program. The custom system is to utilize the edge recognition it's not giving the better outcome dependent on the presumptions. In these conventional procedures here and there is vulnerability of the edge, and the man can't recognize whether it is the edge or not. So as to turn the fuzzy dot i* algebra based edge and corner (named as FDIA) all things considered and tackle the above issues. Fuzzy innovation has been a recent rising innovation utilized in numerous fields, particularly in the image handling, and computer vision is one significant piece of the fuzzy innovation. In light of this innovation, the edges and corners recognize by vigilant corner identification, calculation likewise to portray devices from picture preparing and the speed with the assistance of MATLAB programming. 03 30 2020 559 565 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.D1917.039520 https://www.ijitee.org/portfolio-item/D1917029420/ Studying her Masters in the field of Computer Science and Engineering from BGIET, Sangrur. Kavita Rani Avinash Jethi Assistant Professor in BGIET, Sangrur (Punjab). In Virtual Private Network tunneling is designed to examine the performance of Private network for transferring the data. It implements and analysis the IP tunnel in Virtual Private Network (VPN). Tunneling is a method that is used to transfer the data or packet of one protocol using different network communication mediums of another protocol. This research is emphasized to examine the performance of Private network using tunneling for the transfer of data. Basically tunneling is used to send a packet, data or traffic of one protocol using an intermediate structure of another protocol. It is called as the process of encapsulation, transmission, over different types of secured networks as encapsulation and security is one of the procedure within this network provides security .This paper gives overview of a Virtual Private Network with IP Tunnel. Virtual private Network generates a secure encryption and decryption of data with the help of IP tunneling at end points. Basically VPN routes through the internet from a private network to transferring the data from one end (source) to other end (destination). With the help of tunneling and VPN user can check the working of different parameters under various applications. 03 30 2020 478 482 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.D1956.039520 https://www.ijitee.org/portfolio-item/D1956029420/ Computer Science and Engineering Department, Kongunadu College of Engineering and Technology, Trichy, Tamil Nadu, India. J. Yogapriya* S. Dhivya Computer Science and Engineering Department, Kongunadu College of Engineering and Technology, Trichy, Tamil Nadu, India. K. Suvitha Computer Science and Engineering Department, Kongunadu College of Engineering and Technology, Trichy, Tamil Nadu, India.. Image is an important medium for monitoring the treatment responses of patient’s diseases by the physicians. There could be a tough task to organize and retrieve images in structured manner with respect to incredible increase of images in Hospitals. Text based image retrieval may prone to human error and may have large deviation across different images. Content-Based Medical Image Retrieval(CBMIR) system plays a major role to retrieve the required images from the huge database.Recent advances in Deep Learning (DL) have made greater achievements for solving complex problems in computer vision ,graphics and image processing. The deep architecture of Convolutional Neural Networks (CNN) can combine the low-level features into high-level features which could learn the semantic representation from images. Deep learning can help to extract, select and classify image features, measure the predictive target and gives prediction models to assist physician efficiently. The motivation of this paper is to provide the analysis of medical image retrieval system using CNN algorithm. 03 30 2020 123 129 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.D2001.039520 https://www.ijitee.org/portfolio-item/D2001029420/ PhD, Laboratory of Informatics systems and optimization at the University of Ibn Tofail (Kenitra- Morocco) Mohamed Aboulwafa Nourddine Enneya Associate Professor; elected as head of the the Laboratory of Informatics, Systems and Optimization, within the aforementioned university With traffic increase in a wireless network beyond its capacity and as the number of connected devices continue to grow, the quality of service (QoS) degrades. In this paper we study the impact of mobility on throughput in the case of an infrastructure wireless network using IEEE 802.11 Wi-Fi standard. Since we found in the literature that the mobility of stations can have an impact on the quality of service, we try to remedy to this by implementing a new access category reserved for mobile stations. First we compare the throughput between static and mobile nodes, both connected to a QoS station. Then we propose our new model that consists of adding a new access category used by mobile nodes regardless of their traffic category. The study was made by simulating different scenarios using Network Simulator-3 (NS-3). We found that the throughput may vary depending on the simulation scenario. The simulation results show that with the proposed solution the mobile nodes can have a better throughput. 03 30 2020 1610 1614 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.C2002.039520 https://www.ijitee.org/portfolio-item/D2002029420/ Institute of Information Technology, «MIREA» - Russian Technological University, Moscow, Russia Smolentseva T.E. The paper considers the elements involved in building a model for the formation of information flows of organizational systems with the identification of the main subprocesses, converted and transformed resources, mechanisms and management resources. The problem of determining the elements of basic and supporting information is solved. A model for the distribution of data flows circulating in the system has been formed, which will allow the formation of the main characteristics to determine the optimal data processing time. Based on the results obtained, the time necessary for processing basic and providing information is estimated based on the algorithms proposed in the work. 03 30 2020 1082 1084 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.D2008.039520 https://www.ijitee.org/portfolio-item/D2008029420/ Dept.Of IT,CBIT, Hyderabad, India. K. Swathi R. Rahul Dept.Of IT,CBIT, Hyderabad, India. B. Phaninder Dept.Of IT,CBIT, Hyderabad, India. Non-contact pulse detector used for heart beat measurement based on computer vision, where a standard color camera captures the plethysmographic signal and the heart rates are processed and estimated dynamically. It is important that the quantities are taken in a non-invasive manner, which is invisible to the patient. Presently, many methods have been proposed for non-contact measurement. The proposed method based on the computer vision technique is enhanced to overcome the above drawbacks and it requires low computational cost. Many of the hospitals are using surveillance cameras, from these cameras we can monitor the video of the patients waiting in the queue. The camera is attached in the patients’ waiting room and the faces of the patients are monitored. Many factors are considered in the phases of image acquisition, as well as in the plethysmographic signal development, pre-processing and filtering. The pre-filter step uses numerical analysis techniques to cut the signal offset. The proposed method decouples the heart rate from the plethysmographic signal frequency. The proposed system helps in detecting the heart rate of a Patient who is waiting in queue for longer time. Based on the heart rate the seriousness of patient is identified and giving the preference to the patient and treatment will be started, with this the patient will be in safe side. 03 30 2020 1597 1600 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.D2051.039520 https://www.ijitee.org/portfolio-item/D2051029420/ Research Scholar Department of Computer Science, Bharathiar University, Coimbatore. P. Peter Jose* Dr S.P. Victor Associate Professor, Department of Computer Science, St. Xavier’s College (Autonomous), Palayamkottai. Nowadays cloud computing is utilized in several IT capabilities like smart industry with IoTs, Mobile computing, etc., It is happen through outsourcing data to a third-party administrative control which is great application of cloud. But this leads to data leakage through attacks. A high level of data security is required on the data stored in cloud nodes. This paper enhances the security and data availability by dynamic fragmentation and replication process. The fragmentation is performed in runtime to create the fragments according to the available virtual machine. The replication aims to enhance the better load balance with less number of replicas. Bee colony algorithm is used for finding the best node in replication. The AES encryption approach is used for encrypting the fragments. This approach does not provides the original data if any attacks happened successfully. 03 30 2020 766 771 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.D2054.039520 https://www.ijitee.org/portfolio-item/D2054029420/ Asst. Prof, CSE, SV Engineering College (SVEC), Tirupati, Andhra Pradesh, India R.Raja Kumar* T.Divya Vani Asst. Prof, CSE, SV Engineering College (SVEC), Tirupati, Andhra Pradesh, India D.Yaso Omkari Asst. Prof, CSE, SV Engineering College (SVEC), Tirupati, Andhra Pradesh, India K.Siva Pavani Asst. Prof, CSE, SV Engineering College (SVEC), Tirupati, Andhra Pradesh, India To expand the exactness of an previous face recognition acknowledgment framework on similar littler training data according to the prerequisites of present day. In particular in delicate areas. The philosophy had been embraced by consolidating greater than a one calculation. The element location capacity of the harr course alongside Ada-lift to bring to the Bi-linear CNN in which a similar little training data will create relative outcome on the greater training data. 03 30 2020 2352 2356 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.D2068.039520 https://www.ijitee.org/portfolio-item/D2068029420/ Assistant Professor, Department of EEE, Kongu Engineering College, Perundurai- R. Karthik Kumar R. Sricharan Department of EEE, Kongu Engineering College, Perundurai E. Thava Siva Department of EEE, Kongu Engineering College, Perundurai M. S. Yuvashree Department of EEE, Kongu Engineering College, Perundurai S. Gowtham Department of EEE, Kongu Engineering College,Perundurai Agriculture serves a serious role during a country's economy. The role of agriculture in economic development is crucial as a result of a majority of the population of developing countries build their living from agriculture. The most purpose of our project is to assist small scale farmers by coming up with small scale harvester machine to reap crops terribly with efficiency. Now a days, Agriculture equipment have ton of limitations and it needs additional energy to work. The crop cutting machine needs human effort associated it’s terribly cheap for social class farmer because it has no sophisticated structure and conjointly simply operated by a human. Carrot crop cutter machines doesn’t needs high maintenance. This harvester machine has 2 roller arrangement which are placed in parallel manner facing each other, combined to supply up lift torsion that may be applicable for the harvest crops like carrot, onion and radish etc. The facility unit for this machine may be a battery supply providing 12A. This power is transmitted through gear box, sprocket-chain mechanism to the roller motors and alternative power requiring mechanisms for performing arts harvest home operation. The most feature of this model is that it will save up to 70 % of energy consumption and 85 % of harvest home time. The most thought of this project is to supply a user friendly operation machines for farmers and it will cut back labor value as 1 person is enough to handle. At last the main motto is to make friendly equipment both for farmers and to our ecosystem, because the cost for labors and fuels are completely reduced. 03 30 2020 1236 1240 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.D2069.039520 https://www.ijitee.org/portfolio-item/D2069029420/ Department of CSE, Daffodil International University, Dhaka, Bangladesh. Md. Ashaf Uddaula* Md. Al - Amin Hossain Department of CSE, Daffodil International University, Dhaka, Bangladesh. Md. Khalid Hossen Department of CSE, Daffodil International University, Dhaka, Bangladesh. Ahmed Al Marouf Department of CSE, Daffodil International University, Dhaka, Bangladesh In the data mining area, the prophecy of human diseases initiates a research zone for researchers by applying various machine learning algorithms with various patterns. As a modern community disease, diabetes is becoming one of the fastest-progressive human diseases in the world because of eating heavily sugared foods and lack of proper diet knowledge. In this era, most of the middle age people have confusion about the presence of diabetes in their bodies. That’s why we choose to do research on diabetes. In this paper, we scrutinized the classification performance of six Meta Classifiers named as Multiclass Classifier Updatable, Attribute Selected Classifier, Ada Boost M1, Logit Boost, Bagging, and Filtered Classifier for forecasting diabetes through cross-validation and percentage split techniques using in WEKA whereas as a diabetes dataset we used Pima Indians Database. And finally, according to win-rate from the Win-Draw-Loss table, the highest performance comes from Multiclass Classifier Updatable which has an 80% win-rate. On the other hand, in the measurement of highest individual accuracy, 81.9923% comes from both Attribute Selected Classifier and Filtered Classifier. According to the measurement of the highest average performance, 66% Split as a percentage split technique and Attribute Selected Classifier show the highest performance. 03 30 2020 266 274 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.D2070.039520 https://www.ijitee.org/portfolio-item/D2070029420/ Excel College of Engineering and Technology, Komarapalayam, Tamilnadu, India. R. Deepa* Dr.P. Sundararajan Assistant Professor, Department of Mathematics, Arignar Anna Govt. Arts College, Namakkal. Tamilnadu, India. Fuzzy matrix (FM) is a rich topic in modeling uncertain situation occurred. Every FM can be visualized as a three dimensional figure, but this representation is not possible for classical matrix without any proper scaling. To overcome this problem we need a certain special classical fuzzy matrix. In this paper, the concept of inverse of k-regular fuzzy matrix is introduced and derived some basic properties of an inverse of k-regular fuzzy matrix. This leads to the characterization of a matrix for which the regularity indicator is equal. Further the connection between regular, k-regular and consistency of powers of fuzzy matrices are discussed. 03 30 2020 566 570 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.D2072.039520 https://www.ijitee.org/portfolio-item/D2072029420/ Research Scholar, Department of Computer and Engineering Science, SPMVV University Tirupati, A.P., India. Jana Shafi* P. Venkata Krishna Department of Computer Science and Engineering, SPMVV University, Tirupati, A.P, India. Wearable technology has countless prospects of remodelling healthcare establishment and also medical education. Cardiac sarcoidosis disease (CS) is a sporadic illness in which white blood cells (WBC) clusters known as granulomas, form as heart tissue. Cardiac sarcoidosis disease (CS) Patients are at high threat of ventricular tachycardia or ventricular fibrillation (VT/VF). Wearable cardioverter defibrillator device is introduced which helps to alleviate the abrupt heart attack risk amid patients of cardiac sarcoidosis. A reflective evaluation of the commercial record acknowledged patients of cardiac sarcoidosis disease who sported the wearable cardioverter defibrillator (WCD). ML models are applied to get accurate predictions to motivate WCD wear ability. The wearable device cardioverter defibrillator (WCD) was worn by forty six patients of cardiac sarcoidosis disease in which 22(48%) female, male 24 (52%). The wearable cardioverter defibrillator (WCD) was sported hours about 23.6 median daily. Nearby eleven ventricular tachycardia or ventricular fibrillation (VT/VF) incidents occur in ten patients (22%). Ventricular tachycardia or ventricular fibrillation (VT/VF) happened over a series of (1-79) days, median of twenty-four days. 1st- heart attack success for ventricular tachycardia or ventricular fibrillation (VT/VF) conversion was hundred percent. Survival of Patient in twenty four hours after treatment of attack was hundred percent. To regulate the discontinuing cause for wearable device cardioverter defibrillator (WCD) use specified that among seven attacked patients received ICD, one patient was died two weeks later discontinuing the use of wearable cardioverter defibrillator device (WCD), and two patients were absent to track. Sixteen were not attacked patients, who obtained an implantable cardioverter defibrillator (ICD) while seven of them attained and improved left ventricular ejection fraction (LVEF). Abrupt heart attack (HA) management amongst patients of cardiac sarcoidosis disease (CS) was assisted by wearable device cardioverter defibrillator (WCD) ensuing in positive ventricular tachycardia or ventricular fibrillation (VT/VF) termination upon attack delivery. In this paper, the dataset is retrieved from google dataset search and evaluated on various ML models to predict the survival of the patients Receiving ICD while wearing WCD as well as evaluating the developed model performance and to identify the best applicable model. Dataset is primarily processed and nursed to many machine learning classifiers like KNN, SVM, Perceptron, Random Forest, Decision Trees (DT), Logistic Expression, SGD, and Naïve Basis. Cross-validation is smeared, training is performed so that new machine learning models are established and verified. The outcomes found are assessed on many factors such as Accuracy, Misclassification Rate, True Positive Rate, True Negative Rate, Precision, Prevalence, False Positive rate taken to build the model. Result analysis reveals that among all the classifiers SVM and KNN best model acquiescent high and precise outcomes. 03 30 2020 9 13 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.D2076.039520 https://www.ijitee.org/portfolio-item/D2076029420/ Mathematics, AMITY University Madhya Prasesh, Gwalior, India. Alok jain* Prof. Renu Jain Mathematics, Jiwaji University, Gwalior, Madhya Pradesh, India. Dr. D. Jain Mathematics, MITS Gwalior, Madhya Pradesh, India. The present paper deals with the q-analogue of Hartley transform which is the q-extension of Hartley transform. It is an orthogonal transform which is defined in the domain -∞ to ∞ whose kernel is (cosinusidal) function ‘cas’ which is a combination of trigonometrical functions ‘sin’ and ‘cos’. The q-analogue of Hartley transform is defined in the domain -∞ to ∞ whose kernel is ‘cas_q’ function which is a q-extension of ‘cas’ function. In the similar manner ‘cas_q’ is a q-extension of combination of q-extension of trigonometrical functions ‘sin_q’ and ‘cos_q’ defined in Kack and Chengue book [18]. In this paper we will establish some basic properties of q-Hartley transform, for instance linear property, change of scale property. 03 30 2020 211 214 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.D2120.039520 https://www.ijitee.org/portfolio-item/D2120029420/ Department of MCA, Sona College of Technology, Salem, Tamil Nadu, India. Dr.A. Vanitha* Dr.S. Aruna Department od MCA, Sona College of Technology, Salem,Tamil Nadu, India. Dr.N. Balakrishnan Department of MCA, Sona College of Technology, Salem, Tamil Nadu. India. The Internet of Things (IoT) characterizes a significant transformation of the way in which our today’s world is expected to interact. IoT is an emerging technology connecting the users towards number of things namely smart phones, smart TV, smart electronic goods like Air Conditioners, and etc. and many smart things. These things involves many processes that has large data, which can be transformed in our daily life .Moreover, it should be analyzed in real-time. These devices collects data and upon processing these data grows exponentially. The Cloud computing provides a space to store the data and it takes long time to deliver to the users. The responses in real time requires very fast access. The Fog Computing accomplishes the solution in getting the greater response especially in the field of Internet of Things. The Fog computing using IoT can be used to sense the environment and work for the requirements. For example connected cars analyzes the surroundings which improves the vehicle maintenance. The fog computing has components like smart devices, sensors and more. Further, Fog computing is the extension of Cloud Computing and it facilitates the applications that uses the cloud computing. This paper presents the methods of fog computing that meets the requirements of IoT that can be used in real-time applications. 03 30 2020 275 278 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.D2209.039520 https://www.ijitee.org/portfolio-item/D2209029420/ Research scholar, Department of Computer Science, Punjabi University, Patiala, India Ravneet Kaur Sidhu* Ram Krishan Assistant Professor, Department of Computer Science, Guru Kashi Collage, Punjabi University, Talwandi Sabo, India Throughout security in Mobile Ad-Hoc Network is the most critical worry for the fundamental convenience of the structure. The openness of framework organizations, protection and trustworthiness of the data can be cultivated by ensuring that the security issues have been met. Considering the features like open medium, a rapid change in the topology, MANET experience the evil impacts of various attacks. The network may have to suffer in two scenarios due to intrusion. First, when a node of the current network is influenced by the intruder and second which the intruder is participating himself. In both the cases, the earnest aim of the intruder to drop maximum number of packets and to produce un-necessary delay which may further produces routing overhead. In order to mitigate the effects of the intrusion, a lot of researchers have contributed and has studied the nature of the intrusion. This paper illustrates some of the recent articles over different security breaches and their possible solutions. 03 30 2020 14 21 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.E1961.039520 https://www.ijitee.org/portfolio-item/E1961039520/ Research Scholar, E & C Engg. Department, C U Shah University, Wadhwan, Gujarat, India. Sweta S Panchal* Ved Vyas Dwivedi Provost, C U Shah University, Wadhwan, Gujarat, India. Jayesh P Pabari Researcher, Plasma Research Laboratory, Ahmedabad, Gujarat, India. The physical quantity of interest can be detected using wireless sensor network. The concept of wireless sensor network used to explore difficult areas to access is extended to underwater applications. Efforts are made to focus on design and development of reliable, feasible and robust system for communication in underwater environment. The scenario of communication is completely different for terrestrial and underwater environment. Underwater wireless communication is accomplished by transmission of acoustic signal. Requirement exists to develop a model governing basic equations for acoustic frequency range for underwater acoustic communication. With excess quantity of sodium chloride in a underwater tank, the physical properties of the channel changes which alternately effects the communication. Using soft computing technique, the attenuation model is simulated which is a basic physical property taking change during underwater acoustic communication. The topology of sensor network in water is another challenging task because behaviors of acoustic sensor in underwater are completely different than terrestrial sensors. Thus the efforts are made to devise a model of acoustic frequency environment in water using basic relationships of various physical phenomena. The Channel propagation model is devised that helps to understand percentage area coverage for the received signal strength of the transmitted acoustic signal. Thus the underwater acoustic signal channel propagation model is presented which helps to focus on communication scenario in water and proceed for application. 03 30 2020 22 27 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.E1962.039520 https://www.ijitee.org/portfolio-item/E1962039520/ Computer Engineering Department, Pimpri Chinchwad College of Engineering, Pune, India. Sudeep D. Thepade* Rohan Awhad Computer Engineering Department, Pimpri Chinchwad College of Engineering, Pune, India. Prakhar Khandelwal Computer Engineering Department, Pimpri Chinchwad College of Engineering, Pune, India. In these years, there has been a gigantic growth in the generation of data. Innovations such as the Internet, social media and smart phones are the facilitators of this information boom. Since ancient times images were treated as an effective mode of communication. Even today most of the data generated is image data. The technology for capturing, storing and transferring images is well developed but efficient image retrieval is still a primitive area of research. Content Based Image Retrieval (CBIR) is one such area where lot of research is still going on. CBIR systems rely on three aspects of the image content namely texture, shape and color. Application specific CBIR systems are effective whereas Generic CBIR systems are being explored. Previously, descriptors are used to extract shape, color or texture content features, but the effect of using more than one descriptor is under research and may yield better results. The paper presents the fusion of TSBTC n-ary (Thepade's Sorted n-ary Block Truncation Coding) Global Color Features and Local Binary Pattern (LBP) Local Texture Features in Content Based Image with Different Color Places TSBTC n-ary devises global color features from an image. It is a faster and better technique compared to Block Truncation Coding. It is also rotation and scale invariant. When applied on an image TSBTC n-ary gives a feature vector based on the color space, if TSBTC n-ary is applied on the obtained LBP (Local Binary Patterns) of the image color planes, the feature vector obtained is be based on local texture content. Along with RGB, the Luminance chromaticity color space like YCbCr and Kekre’s LUV are also used in experimentation of proposed CBIR techniques. Wang dataset has been used for exploration of proposed method. It consists of 1000 images (10 categories having 100 images each). Obtained results have shown performance improvement using fusion of BTC extracted global color features and local texture features extracted with TSBTC n-ary applied on Local Binary Patterns (LBP). 03 30 2020 28 34 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.E1963.039520 https://www.ijitee.org/portfolio-item/E1963039520/ Research Scholar, School of Computer Science Engineering, Carrier Point University, Kota, Rajasthan, India. Kanchan Baka* Dr. Pawan Thakur Professor and head of school of Computer Science Engineering, Govt. PG College, HPTU University, Dharmshala, India. In modern time, Mobile Wireless Sensor Networks (MWSN) technology has gained tremendous popularity and is widely used in various applications. MWSN is a temporary network designed for a specific purpose. The dynamic nature of these networks makes them more usable in different fields. The autonomous systems of these wireless mobile nodes can be established anytime, anywhere. However, due to its high mobility, lack of centralized authority and the nature of open media, MWSN is more vulnerable to a variety of security threats and hence more vulnerable to security issues than traditional Wireless Sensor Networks (WSN). MWNs are extremely vulnerable to various types of threats, which will greatly reduce network performance in different situations. In this article, we first provide the general description about MWSN along with its component used and then reviewed the well-known work done by various researchers to detect distributed denial-of-service attack (DDoS). The review thoroughly identified different aspects of the proposed methodology. In addition, we also provide comparative analysis of various analyzed parameters that are examined to determine the effectiveness of the designed protection network against DDoS attack. 03 30 2020 130 135 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.E1965.039520 https://www.ijitee.org/portfolio-item/E1965039520/