-4d90550d17f4602e089-47ac 20220418081635420 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 Sr Assistant Professor, Department of Mechanical Engineering, Godavari Institute of Engineering & Technology (A), Rajahmundry,Andhra Pradesh, India Mr. M. Balakrishna* A. Punith Durga Prasad UG Scholars, Department of Mechanical Engineering, Godavari Institute of Engineering & Technology (A), Rajahmundry,Andhra Pradesh, India D. Madhusudhan UG Scholars, Department of Mechanical Engineering, Godavari Institute of Engineering & Technology (A), Rajahmundry,Andhra Pradesh, India CH. Sai Kiran UG Scholars, Department of Mechanical Engineering, Godavari Institute of Engineering & Technology (A), Rajahmundry,Andhra Pradesh, India B. N. V. S. Lokesh Kumar UG Scholars, Department of Mechanical Engineering, Godavari Institute of Engineering & Technology (A), Rajahmundry,Andhra Pradesh, India This paper aims to investigate the performance of fin effectiveness, efficiency and to improve the heat dissipation characteristics by varying fin geometries and materials. Here the system flows natural convection and forced convection heat transfer. The greatest ‘h’ value will be acquired at a specific point by changing the velocity of the fluid. Acquiring maximum efficiency and effectiveness of the pin-fin apparatus can be accomplished at a specific temperature. In this cross-section area of fins are considered as constant. The heat conveyed along the length of the fin, Reynolds number, Nusselts number, Heat Transfer coefficient, Effectiveness and Efficiency of the fins were evaluated and compared with the fluid fluent (CFD) analysis. 04 30 2020 704 709 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.F3904.049620 https://www.ijitee.org/portfolio-item/F3904049620/ Information Technology, Saveetha School of Engineering, Chennai, India. V. Nigamrutha* Dr. S. Anusuya Information Technology, Saveetha School of Engineering, Chennai, India. Stock market consists of various buyers and sellers. The stock market value is dynamic. It means the stock market value is changed day by day. Actually stock has been represented as shares. The owner of the share may be an individual or group of peoples. In this current economic condition stock market value prediction is the critical task because the data is dynamic. Stock market prediction means to find the future value of the stock on a financial exchange. The expected prediction output to be accurate, efficient and robust value. Traditionally the stock values are predicted by using stock related news. But it does not provide a better result. Wrong prediction of stock value leads to heavy loss. Machine learning concepts play a very important role in various domains. It is also used to predict the stock market value with the help of collected data. This paper describes about stock market value prediction using machine learning SVM (Support Vector Machine) technique. This proposed concept is implemented by python programming language. This machine learning concept produces better prediction result compared with other machine learning techniques. 04 30 2020 2063 2066 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.F3908.049620 https://www.ijitee.org/portfolio-item/F3908049620/ Director, Haldia Institute of Man-agement, Haldia,721657, India. Prof. (Dr.) S.N. Bandyopadhyay* Miss. Puja Tiwari Assistant Professor, Haldia Institute of Manage-ment, Haldia,721657, India. Prof. (Dr.) M.N. Bandyopadhyay Director, Haldia Institute of Tech-nology, Haldia, 721657, India. Prof. (Dr.) S.K. Maity Inspector of Colleges, Maulana Abul Kalam Azad University of Technology, Kolkata,700064, India, Understanding time has been quite a challenge for human being. Though we in general understand time but its im-plication for physics and the universe just make things very murky. In this paper we will discuss what is the relevance of time in the study of astronomy and how it impacts the Universe. The great physicist Einstein has to be credited for introducing Time as one of the dimensions and after that the whole concept of looking into time has totally changed. We have understood space and time have an integral collaborative part to play in the vast Universe. Not only that through general relativity we have seen how time interacts with gravity and how time can be distort-ed by gravity. From the simple watch on our hand time has taken a great leap and made a mark of its own. Not to say the behav-iour of time in certain celestial bodies still makes us wonder are we missing some aspect of time. Time acts peculiarly inside a Black Hole and forget Singularity as the concept itself puzzles our knowledge of physics. The concept of time as one of the di-mensions has opened a lot of new avenues of re-search but also has bought with its lot of unanswered questions. It does not stop here when we try to analyse past, present and future with time though theoretically may be very easy to understand but once we add physics into its things get a bit complicated. The stars that we see in the night sky is actually past whereas the person travelling in space is future and we are present. This paper will try to see if events can be placed in time and how light brings those events into our understanding. It must be understood that any event that is observed by human beings is due to the fact that light is falling on that object. In Big Bang several events happened in the beginning before the commence-ment of photon or light that does not mean time had not started. So, it is clear that light and time is not correlated though for hu-man beings to look into an event light is of course needed. This paper will try to analyses the time and light dilation in a Black Hole and how that influences the concept of time. Also, this paper will try to understand how much more research is re-quired to understand the whole concept of light, time and Black Hole. 04 30 2020 710 714 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.F3912.049620 https://www.ijitee.org/portfolio-item/F3912049620/ Assistant Professor,Department of Computer Science and Engineering, Sri Shakthi Institute of Engineering and Technology, Coimbatore Mrs. N. Saranya* S. Sahana Student,Department of Computer Science and Engineering, Sri Shakthi Institute of Engineering and Technology, Coimbatore B. Suganthi Student,Department of Computer Science and Engineering, Sri Shakthi Institute of Engineering and Technology, Coimbatore R. K. Vijaynigilesh Student,Department of Computer Science and Engineering, Sri Shakthi Institute of Engineering and Technology, Coimbatore T. Vivin Student ,Department of Computer Science and Engineering, Sri Shakthi Institute of Engineering and Technology, Coimbatore In recent days, satellite-based surveillance gadget is used to notice wooded area hearth however this works when fireplace is unfold in the massive area. So these methods are no longer efficient. According to a survey, about 80% losses are accumulated in the woodland due to the late detection of fire. To overcome this two, we proposed a new method to predict and the fire at early stages . In our proposed method the hardware kit with temperature and humidity sensor is connected to the PC and it is deployed in many places in the forest area. The PC is connected with the Internet . The details collected using sensor is upload with the fixed interval time. Then this data is uploaded to the cloud application. If the forest temperature is increased abnormally this will detect send notification to the forest authorities then the fire alarm will rung .It can also predict the fire that will be occur in future by using machine learning . This is done by using KNN algorithm. This can be used in all kind of forest and considering the effectiveness of the sensors it be also used in industrial areas. 04 30 2020 1835 1838 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.F3914.049620 https://www.ijitee.org/portfolio-item/F3914049620/ Department of Computer Engineering ,BV(DU)COE, Pune, India. Devansh Kumar Garg* Gauri Rao Department of Computer Engineering, BV(DU)COE, Pune, India. Statistics suggest that, falls in elderly people are more common than we usually anticipate. These falls are often the leading cause of grave injuries and sometimes even lead to death. Astonishingly, falls are the reason of death in 70% of people in the age group of 75 and older. “More than 90 percent of hip fractures occur as a result of falls, with most of these fractures occurring in persons over 70 years of age. One third of community-dwelling elderly persons and 60 percent of nursing home residents fall each year.” (George F. Fuller, COL, MC, USA, White House Medical Clinic, Washington, D.C.; Am Fam Physician, 2000). With such statistical data in hand, it has become an urgent need to device a system to alert the people nearby and attract the help that is direly needed in the situations like these. The purpose of this project is to provide the necessary help through a device that would detect the fall through a series of sensors. The device essentially, measures the speed, orientation, weight of the person in question. It makes use of an associate degree measuring system, a rotating mechanism, a load sensing element, a Wi-Fi module and a microcontroller. Any abruption in the original data in respect to speed, orientation or weight is recorded and further transmitted and monitored to be registered as a fall. Subsequently, an alarm is set into working and the concerned people are notified through a series of signals transmitted and received through the microcontroller. Many a time, a mere change out of co-incidence can get registered as a “fall” and set off false alarms and unnecessarily create panic. Such a situation was anticipated and thus, a safety button, also called as, nap button, was installed in the device. The button snoozes the system of sensors for a certain time period. The device in discussion is customized to be set or fixed on the wheelchairs, if the person in discussion is wheelchair dependent. Additionally, a wearable device is also made available. This custom made device will make it possible for the people to get emergent help and to prevent further catastrophic damage from happening. 04 30 2020 715 718 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.F3917.049620 https://www.ijitee.org/portfolio-item/F3917049620/ Asst.Prof. Computer Science Govt.College Hoshiarpur,Punjab Pin -Code-146001 India Dr.Jaswinder Singh* This paper is about the concept of information communication technology its role, importance, usage in teaching and learning. The field of ICT joins science and technology .it contains the package of computer tangible and intangible items, cell phones and telecommunication, web, internet, guided and unguided media, digital cameras, artificial intelligence and the rest. It combines the field of computer and information science tremendous and speedily growing knowledge base that is developed by researchers and scholars. ICT has declared to be beneficial in solving problems in teaching, learning, education and related field. There are two types of learning mediums. Traditional medium and ICT medium.ICT replaced the traditional medium with smart technology devices. Emerging learning tools such as podcast, blog, integrated learning module Wikipedia and m-learning have begun developing rapid strides in teaching learning processes. There are some barriers of ICT in teaching/learning process were discussed using general talk survey, unstructured interview and observations. It exposed that teacher factor, chalk and talk, inadequate funding, infrastructure, internet connectivity were some of the barriers of Information communication technology in teaching and learning process. 04 30 2020 719 721 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.F3920.049620 https://www.ijitee.org/portfolio-item/F3920049620%5D/ Computer science & Engineering department, Manav Rachna International Institute of Research and Studies, Faridabad, India. Amit Chugh* Dr. Supriya P Panda Computer science & Engineering department, Manav Rachna International Institute of Research and Studies, Faridabad, India. Wireless Sensor Network (WSN) is a combination of various small size processing units called sensors. Sensors are deployed over a region to monitor the environment and other happenings. Sensors sense the environmental situations and communicate the sensor data to nearby nodes or base stations. Sensor’s energy keeps on depleting due to their multiple functionalities like sensing, aggregating of received data and communication with neighbor nodes. Energy constraint is one of the vital challenges for sensor nodes as they are majorly operational in unreachable locations with non-replaceable power resources. Various techniques have been implemented to overcome the challenge of limited power resources. Clustering is one of the techniques that facilitate to prolong the network lifetime through effective utilization of energy resources. Numerous clustering protocols have been implemented based on various parameters. Mutual Exclusive Distributive Clustering (MEDC) is one of the distributed clustering protocols that elect the cluster head based on residual energy. Selected cluster head performs the dual functionality i.e. combining the collected data and sending the same to the base station. This paper present the proposed algorithm which employed relay nodes in MEDC to distribute the load of cluster head and the distribution would lead to further enhance the network lifetime of WSN. 04 30 2020 835 839 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.F3943.049620 https://www.ijitee.org/portfolio-item/F3943049620%5D/ Deptt of Computer Science Engineering, Faculty of Engineering and Technology, Manav Rachna International Institute of Research and Studies, Faridabad, India. Neha Garg* Dr. Kamlesh Sharma Deptt of Computer Science Engineering, Faculty of Engineering and Technology, Manav Rachna International Institute of Research and Studies, Faridabad, India. These days, Data volume has experienced enormous increase in volume, giving new challenges in technology and application. Data production has been expected at the rate of 2.5 Exabyte (1Ex-abyte=1.000.000Terabytes) of data per day. The main sources of data are: sensors collect climate information, traffic and flight information, social media sites (Twitter and Facebook are popular examples), digital pictures and videos (YouTube users upload 72 hours of new video content per minute), etc. Out of them social media becomes the prominent representative for the data source of big data. Social big data comes from the combination of social media and big data. Here, the data is mostly unstructured or semi-structured. The classical approaches, techniques, tools and frameworks for management of data have become insufficient for processing this huge volume of data and not capable for providing efficient solution to handle the increased production of data. The major challenge in data mining of big data is, its inadequate approaches to analyze massive amount of online data (or data streams). Specially, the field of sentiment analysis and predictive analysis has become so much promising area to place an organization at doom or at boom by provide accurate decision at accurate time. The current paper provides an insight of machine learning algorithm both supervised and unsupervised method; and the traditional knowledge extraction process. The application field of sentiment analysis, the issues those are faced during data collection and cleaning. This study flourishes a complete picture of recommendation system based on the sentiment analysis of events. The key motivation of the paper is to incorporate the event sentiment analysis and give the feedback and recommendation and illustrate the ongoing researches in the field of sentiment analysis and its application. 04 30 2020 1232 1238 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.F3946.049620 https://www.ijitee.org/portfolio-item/F3946049620%5D/ Faculty of Architechture – Construction, Binh Duong University, Binhduong, Vietnam Huy-Vung Nguyen Thi-Kieu Pham* Faculty of Civil Engineering, University of Transport and Communications, Hanoi, Vietnam. Response modification factor (R) performs as one of the main seismic design parameters of new structures during earthquake and is considered as significant parameter of nonlinear equivalent static analysis which is a widely used method to evaluate the seismic response of a structure. A review of the literature illustrates that although various numerical studies have investigated the effect of viscous dampers on the response modification factor (R), lack of experimental study has been conducted to verify the numerical models. This study evaluates the response modification factor of steel frame with and without viscous damper. Experimental and numerical analysis have been conducted in the present research. It is found that results from finite element analysis agree well with the experimental results. Besides, the use of damper increases significantly the response modification factors of steel structures, e.g., the factor of structures with dampers are approximate 32% higher than the structures without dampers. The determined response modification factors for the different structures used in this study can be applied to conduct equivalent static analysis of buildings as an initial design stage. 04 30 2020 950 953 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.F3947.049620 https://www.ijitee.org/portfolio-item/F3947049620%5D/ Department of Information Technology, Sri Shakthi Institute of Engineering and Technology, Chinniyamplayam, Coimbatore Praveena V* Ram Nivash B.S Department of Information Technology, Sri Shakthi Institute of Engineering and Technology, Chinniyamplayam, Coimbatore Maheema M Department of Information Technology, Sri Shakthi Institute of Engineering and Technology, Chinniyamplayam, Coimbatore Nandhini R Department of Information Technology, Sri Shakthi Institute of Engineering and Technology, Chinniyamplayam, Coimbatore Nowadays mishaps are happening much of the time, causing destruction of numerous individuals by committing unassuming errors while driving (in school zone, slopes region, and roadways). In any case, once in a while it may not be conceivable to see the billboards put by the Highway Department to caution the drivers in such sort of spots and there is an opportunity for mishap. The headway in the processor innovation and microcontrollers has opened another framework intended to forestall the mishaps caused because of carelessness of drivers in observing rush hour gridlock flags close by the street and different abnormalities on the streets. So to suggest the driver about the zones and to consequently keep up the speed is cultivated by methods for low power RF innovation. The primary target is to plan an Electronic Display controller implied for vehicle's speed control and screens the zones, which runs on an implanted framework and can be hand crafted to fit into a vehicle's dashboard to show data on the vehicle. This framework whenever received by some state can successfully diminish the quantity of street mishaps brought about by speeding vehicles losing control of the vehicle at speed breakers or by driver's carelessness towards traffic signals. This paper presents another structure to control the speed of the vehicles at clumsy zones and security zone places for fixed time. The undertaking is made out of two separate units: Zone status transmitter unit, Electronic Display and Control unit. When the street sign is gotten from the zones, the vehicle's Electronic Display Controller Unit cautions the driver, to lessen the speed as indicated by the zone; it hangs tight for driver's reaction and diminishes the speed of vehicle consequently with CAN Protocol. 04 30 2020 1147 1153 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.F3949.049620 https://www.ijitee.org/portfolio-item/F3949049620%5D/ Professor, Dept. of CSE, Koneru Lakshmaiah Education Foundation, Green Fields, Vaddeswaram, Guntur (Dt) 522005, Andhra Pradesh India. Dr. G.Siva Nageswara Rao* Ch. Sasi Kiran Reddy Student, B. Tech in Computer Science and Engineering Department. Koneru Lakshmaiah Education Foundation, Green Fields, Vaddeswaram, Guntur (Dt) 522005, Andhra Pradesh. M. Vamsi Krishna Sai Student, B. Tech, Computer Science and Engineering Department. Koneru Lakshmaiah Education Foundation, Green Fields, Vaddeswaram, Guntur (Dt) 522005, Andhra Pradesh Sk Javed Hussain Student, B. Tech, Computer Science and Engineering Department. Koneru Lakshmaiah Education Foundation, Green Fields, Vaddeswaram, Guntur (Dt) 522005, Andhra Pradesh Agricultural productivity is that issue there on Indian Economy extremely depends. this is often the one altogether the reasons that malady detection in plants plays a really important role within the agriculture field, as having the malady in plants are quite natural. If correct care isn't taken during this space then it causes serious effects on plants and since of that various product quality, amount or productivity is affected. Detection of disease through some automatic technique is useful because it reduces an oversized work of watching in huge farms of crops, and at terribly early stage itself detects the symptoms of diseases means after they appear on plant leaves. This paper presents a neural network algorithm for image segmentation technique used for automatic detection still because the classification of plants and survey on completely different diseases classification techniques which will be used for plant disease detection. Image segmentation, that is a really important facet for malady detection in disease is completed by victimization genetic algorithm. 04 30 2020 1239 1244 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.F3952.049620 https://www.ijitee.org/portfolio-item/F3952049620%5D/ Associate professor, Dept. of CivilEng., Hindustan Institute of Technology and Science (HITS), Chennai-603 103, India Ravikumar p* Abhinav Bhandari Graduate Students, Dept. of CivilEng., Hindustan Institute of Technology and Science (HITS), Chennai Joshua Paul Verghese Graduate Students, Dept. of CivilEng., Hindustan Institute of Technology and Science (HITS), Chennai Abhilesh N Jain Graduate Students, Dept. of CivilEng., Hindustan Institute of Technology and Science (HITS), Chennai Tika Devi Rai Graduate Students, Dept. of CivilEng., Hindustan Institute of Technology and Science (HITS), Chennai Jessy Rooby Professor, Dept.of Civil Engineering, Hindustan Institute of Technology and Science (HITS), Chennai Sundararajan T Professor of Civil Engineering (Retd.), Pondicherry Engg., college, Pondicherry – 306105, India. In this paper, a combination of high-calcium fly ash (HCFA) and ground granulated blast furnace slag (GGBFS) was used along with a combination of sodium hydroxide (NaOH) and sodium silicate(Na2SiO3) as alkaline activators (AAs) to produce geopolymer paste and mortar. The alkaline activator ratio (AAR) was maintained at 1.5 apart from their molarity at 10 for the study. A rational method, namely minimum voids approach was used for the mix design. A commercially available glass fibre mesh was used as reinforcement in the geopolymer mortar produced above, to assess its potential for use as a flooring tile. The influence of W/S (water-to-solids) ratio and the influence of various fine aggregates, namely, river sand (R), manufactured sand (M) and construction demolition waste (D) on the various geopolymer system (GP) and on the strength characteristics, are highlighted. A maximum transverse strength (TS) of 6.25 N/mm2 could be attained by the geopolymer tile, using three layers of glass fibre mesh and GP mortar developed. The study indicates that a combination of FA and GGBFS helps us to attain substantial strength under ambient temperature in geopolymer mortar. 04 30 2020 722 729 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.F3955.049620 https://www.ijitee.org/portfolio-item/F3955049620%5D/ Faculty of Build Environment, Universiti Teknologi Malaysia, Johor, Malaysia. Zuhra Junaida Mohamad Husny Hamid* Sunti Tuntrakool Department of Engineering Education, Faculty of Industrial Education and Technology, King Mongkut's Institute of Technology Ladkrabang. Mohd. Iskandar Illyas Tan Azman Hashim Business School, Universiti Teknologi Malaysia, Johor, Malaysia. This paper will explore the issues and the causes of accidents contributed by heavy goods vehicles (HGV) specifically instigated by blind spot. A blind spot is an area or zone that cannot be directly observe by the truck driver on their side mirror. Unfortunately, due to this, high number of accidents had happened because of HGV drivers were not alert or aware of another road user or pedestrian hidden in the blind spot area. This often occurred to heavy goods vehicle drivers. The aim of this paper is to understand the issue of HGV blind spot and identify the potential use signal sensing as an alert mechanism for the blind spot of a heavy goods vehicles. This is to detect other road users who are in the dangerous distance of the HGV. This study has revealed the holistic understanding of HGV blind spot issues and problem by finding the answer for research question initially outlined. 04 30 2020 840 844 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.F3956.049620 https://www.ijitee.org/portfolio-item/F3956049620%5D/ Department of Computer Science, Bharathidasan University Constituent Arts & Science College, Navalurkuttapattu, Tiruchirappalli-620027 TamilNadu, India Sharmila Rengasamy* Chellammal Surianarayanan Department of Computer Science, Bharathidasan University Constituent Arts & Science College, Navalurkuttapattu, Tiruchirappalli-620027 TamilNadu, India, Pethuru Raj Chellaih Site Reliability Engineering (SRE) Division, Reliance Jio Infocomm. Ltd. (RJIL), AVANA Building, Iblur Village, Sarjapur Road, Bangalore Prediction of diseases is one of the challenging tasks in healthcare domain. Conventionally the heart diseases were diagnosed by experienced medical professional and cardiologist with the help of medical and clinical tests. With conventional method even experienced medical professional struggled to predict the disease with sufficient accuracy. In addition, manually analysing and extracting useful knowledge from the archived disease data becomes time consuming as well as infeasible. The advent of machine learning techniques enables the prediction of various diseases in healthcare domain. Machine learning algorithms are trained to learn from the existing historical data and prediction models are being created to predict the unknown raw data. For the past two decades, machine learning techniques are extensively employed for disease prediction. Despite the capability of machine algorithm on learning from huge historical data which is stored in data mart and data warehouses using traditional database technologies such as Oracle OnLine Analytical Processing (OLAP). The conventional database technologies suffer from the limitation that they cannot handle huge data or unstructured data or data that comes with speed. In this context, big data tools and technologies plays a major role in storing and facilitating the processing of huge data. In this paper, an approach is proposed for prediction of heart diseases using Support Vector Algorithm in Spark environment. Support Vector Machine algorithm is basically a binary classifier which classifies both linear and non-linear input data. It transforms the non-linear data into hyper plan with the help of different kernel functions. Spark is a distributed big data processing platform which has a unique feature of keeping and processing a huge data in memory. The proposed approach is tested with a benchmark dataset from UCI repository and results are discussed. 04 30 2020 1917 1921 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.F3957.049620 https://www.ijitee.org/portfolio-item/F3957049620%5D/ Assistant Professor, CSE, JNTUH, MGIT, Hyderabad, India. Shyam Sunder Pabboju* P.Satya Shekar Varma Assistant Professor CSE, JNTUH, MGIT, Hyderabad, India. Surya Prakash Jella student, CSE, JNTUH, MGIT, Hyderabad. Traffic accidents are one of the most life-threatening dangers to human being. Deaths and injuries due to traffic accidents have a great impact on society. Traffic accidents information and data provided by public can be useful to classify these accidents according to their type and severity, and consequently try to build predictive model. Detecting and identifying injury severity in traffic accidents in real time is primordial for speeding post-accidents protocols as well as developing general road safety policies. In this project we are using Logistic Regression algorithm to classify accident data. The data to be analysed is collected from various sources, is both structured and unstructured and has several attributes. In this project we are going to detect and analyse data together to generate decision trees that give insights on previous accidents. 04 30 2020 845 849 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.F3969.049620 https://www.ijitee.org/portfolio-item/F3969049620%5D/ Assistant Professor, Department of Mechanical Engineering, Gnanamani College of Technology, Namakkal, Tamilnadu, India. S.Krishna kumar* T.K. Kannan Professor/Principal, Department of Mechanical Engineering, Gnanamani College of Technology, Namakkal, Tamilnadu, India. Sachin S Raj Assistant Professor, Department of Mechanical Engineering, Gnanamani College of Technology, Namakkal, Tamilnadu, India. M. Sudhagar Assistant Professor, Department of Mechanical Engineering, The Kavery Engineering College, Salem, Tamilnadu, India. M. Vairavel Assistant professor, Department of Mechanical Engineering, Anna Poorna Engineering College,Salem, Tamilnadu, India. Material is one or more substances that form an object. Due to an attractive mechanical characteristic, materials are commonly selected for structural applications. Recently, the hybrid MMC has been developed and highly an innovative trend in material science. The current study is concentrated on the formation of an innovative hybrid MMC by utilizing aluminum, silicon carbide and fly ash particulates of bagasse. In this study, the physical characteristics of Aluminum 6061 were evaluated by adding Sic, fly ash particulates of bagasse and observed that this is the hardest substance. The compositions were added until the final level and a method of stir casting has been utilized to fabricate Al MMC. XRD ie x-ray diffraction was utilized to analyze the structural characterization of MMC and optical microscopy was utilized to analysis the microstructure on MMC. In this study, the mechanical characteristics like hardness, elongation, yield strength, UTS and density have been performed on MMC. Aluminum was added with 5% of silicon carbide and 10% of fly ash particles of bagasse in one case and in other case aluminum was added with 10% of fly ash particles of bagasse and 10% of silicon carbide. As a result, it was detected that there is an improvement in the hardness and UTS and a reduction in the density and elongation of the composites in comparison to plain aluminum. This shows that the aluminum-silicon carbide-fly ash particles of bagasse MMC substantially differ throughout all characteristics. 04 30 2020 1245 1252 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.F3970.049620 https://www.ijitee.org/portfolio-item/F3970049620%5D/ Assistant Professor, Department of Computer Science and Engineering, NMAMIT, Nitte, Karkala, Karnataka, India. Manasa G R* Anusha Anchan Assistant Professor, Department of Computer Science and Engineering, NMAMIT, Nitte, Karkala, Karnataka, India. Santhosh G Assistant Professor, Department of Mechanical Engineering, NMAMIT, Nitte, Karkala, Karnataka, India. wireless communication systems rely on antennas for signal reception. Proper placement of antennas is important to achieve successful wireless communication according to satellites / transmitters. Manual antenna changes are often risky in a way that usually results in unexpected accidents and can lead to death. To determine its position, the sensors are mounted on the antenna, and the motors change their position. Because the location of a transmitting station changes over time, antenna path must also be changed accordingly. This system will track the location of the antennas and provide new coordinates for the antenna positioning. Correctly position antenna is done by this system. We are therefore proposing an IOT based antenna positioning system that enables antennas to be placed remotely based on IOT. The paper explains how to implement the current and evolving technologies in Antenna Positioning. We can essentially use this device to place antennas respectively in the desired direction using IoT. 04 30 2020 730 735 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.F3975.049620 https://www.ijitee.org/portfolio-item/F3975049620%5D/ Department of Electrical and Electronics Engineering, SRM Valliammai Engineering College, Kattankulathur, India. R. Geethapriya* A. Anbuselvi Department of Electrical and Electronics Engineering, SRM Valliammai Engineering College, Kattankulathur, India. A.S. Arpputhanandam Department of Electrical and Electronics Engineering, SRM Valliammai Engineering College, Kattankulathur, India. Dr.G. Udhayakumar Department of Electrical and Electronics Engineering, SRM Valliammai Engineering College, Kattankulathur, India. The complex nature of the internal environment of public buildings make us to think about how to protect people in the break-out of fire and quickly reach the safe area. With the help of Arduino and other components such as fire hydrants, fire extinguishers, safety evacuation symbols in buildings, the migration of the people can be dynamically monitored and controlled. Using Arduino, an intelligent dynamic evacuation path solving model for emergency evacuation system was built for large public buildings. When an emergency situation occurs, the system can help guide people to evacuate from building and reach the safe exit quickly, so as to reduce casualties and economic losses. 04 30 2020 1339 1342 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.F3979.049620 https://www.ijitee.org/portfolio-item/F3979049620%5D/ PG Student, Department of CS, GIS, GITAM (Deemed to be University), Visakhapatnam, India M. Prashanthi Reddy* Dr. T.Uma Devi Associate Professor, Department of CS, GIS, GITAM (Deemed to be University), Visakhapatnam, India Chronic Kidney Disease is a very dangerous health problem that has been spreading as well as growing due to diversification in life style such as food habits, changes in the atmosphere, etc. The branch of biosciences has progressive to a bigger extent and has bring out huge amounts of data from Electronic Health Records. The primary aim of this paper is to classify using various Classification techniques like Logistic Regression (LR), K-Nearest Neighbor (KNN) Classifier, Decision Tree Classifier Tree, Random Forest Classifier, Support Vector Machine (SVM), and SGD Classifier. According to the health statistics of India 63538 cases has been registered on chronic renal disorder. Average age of men and women susceptible to renal disorders occurs within the range of 48 to 70 years. 04 30 2020 1922 1924 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.F3989.049620 https://www.ijitee.org/portfolio-item/F3989049620%5D/ Rsearch Scholar, Civil Engineering Department, MIT, Pune, Savitribai Phule Pune University, Pune, India. Salgude Rohit* Pimplikar Sunil Professor and Head of Civil Engg. Department, MIT, Pune, Savitribai Phule Pune University, Pune, India. Sonawane Gaurav Master of Technology (Civil and Environmental Technology) student at Department of Technology, Savitribai Phule Pune University, Pune, India. India loses 3% of its GDP due to road accidents. Significance of Geopathic stress as a causative factor of road accidents has been studied by few researchers; however its effect on Pavement distresses and hence road accident is yet unexplored. The aim of this research is to determine the correlation between average number of accidents, Pavement Condition Index (PCI) values and Geopathic stress. Accident data was collected from Pune traffic department for 3 years period from 2015-16 to 2017-18. Based on the number of accidents during this period accident blackspots were found. On each black spot pavement distresses survey was carried out and its condition was analyzed by Indian Road Congress (IRC) 82:2015 code method. At these accident blackspots detection of geopathic stress was done by using 2 copper L-rods, lecher antenna. Intensity was measured in terms of electrical and magnetic field. Electrical field reading was measured using Esmog-spion and magnetic field reading was measured by magnetometer. Data was analyzed using Karl Pearson’s correlation coefficient and a linear regression model is developed for average number of road accidents (Ā) with Pavement Condition Index (PCI). Utility of the equation is for forecasting the number of fatal accidents at similar black spots based on their pavement distress condition. A further attempt is to investigate the effect of electric and magnetic characteristics of geopathic stress on road accidents. 04 30 2020 850 854 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.F3991.049620 https://www.ijitee.org/portfolio-item/F3991049620%5D/ Assistant Professor, Department of Civil Engineering, Sri Vasavi Engineering College, Tadepaligudem, W. G. District, Andhra Pradesh P.N.V. Durga Prasad* N. Veerendra Babu Assistant Professor, Department of Civil Engineering, Srinivasa Institute of Engineering and Technology, Cheyyuru, Amalapuram, Andhra Pradesh K. Harish Kumar Assistant Professor, Department of Civil Engineering, Lakireddy Bali Reddy College of Engineering, Mylavaram, Krishna District, Andhra Pradesh There has been an immense significance of sparing structures like pipe structures which exchange oil and gas, blasts on these pipe lines may intrude on the transmission. In the current decades a lot of research is done to think about the auxiliary reaction under impact loads. Oil and gas companies must do all they can to ensure a steady supply of product to distributors and consumers. An infrastructure of pipes that carry oil and gas across the country and around the world is, therefore, essential. Parts such as piping materials, pipe shoes, and wear pads, must be durable and resilient, so maintenance and repairs do not interrupt the supply of product. Pipes are made of steel in these days as they have corrosive resistance and a strong and reliable material. Cast iron pipe is a pipe which has had historic use as a pressure pipe for transmission of water, gas and sewage, and as a water drainage pipe during the 19th and 20th centuries. The paper depicts the comparison of vonmisses stress and pressure of pipes made up of steel and cast iron subjected to different blast loads and the simulation is carried out using LS-Dyna software 04 30 2020 954 959 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.F3996.049620 https://www.ijitee.org/portfolio-item/F3996049620%5D/ Assistant professor, IT department of SRM Institute of Science and Technology. B. Sathyabama* Harshita Singh Pursuing bachelors, Information Technology, Chennai. Harshit Goraya Bachelor's in Information Technology,SRM Institute of Science and Technology Aman Vira Student at SRM Institute of Science and Technology with an extensive background in Information Technology With ongoing advancements in the field of technology, mobile advertising has emerged as a platform for publishers to earn profit from their free applications. An online attack commonly known as click fraud or ad fraud has added up to the issue of concerns surfacing mobile advertising. Click fraud is the act of generating illegitimate clicks or data events in order to earn illegal income. Generally, click frauds are generated by infusing the genuine code with some illegitimate bot, which clicks on the ad acting as a potential customer. These click frauds are usually planted by the advertisers or the advertising company so that the number of clicks on the ad increases which will give them the ability to charge the publishers with a hefty sum per number of clicks. A number of studies have determined the risks that click fraud poses to mobile advertising and a few solutions have been proposed to detect click frauds. The solution proposed in this paper comprises of a social network analysis model – to detect and categorize fraudulent clicks and then test sample datasets. This social network analysis model takes into consideration a wide range of parameters from a large group of users. A detailed study is conducted for analyzing these parameters in order to separate the parameters, which affect the click fraud generation process largely. These parameters are then tested and categorized into sample datasets. The mobile advertising industry forms a large part of the revenue generated by the advertising industry. Hence, detection of click fraud in mobile advertising is important to ensure that no illegitimate sources are used to generate this revenue. To be precise, the proposed method touches an accuracy of about 92%. 04 30 2020 855 858 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.F4002.049620 https://www.ijitee.org/portfolio-item/F4002049620%5D/ Pursuing Ph.D, Anna University, Chennai, India. Selvakumar G* Deepthi R UG Student,Department of Computer Science and Engineering, Sri Shakthi Institute of Engineering and Technology. Dinesh kumaar K UG Student,Department of Computer Science and Engineering,Sri Shakthi Institute of Engineering and Technology. Harini V UG Student, Department of Computer Science and Engineering, Sri Shakthi Institute of Engineering and Technology. Kosuri Nikhita UG Student,Department of Computer Science and Engineering,Sri Shakthi Institute of Engineering and Technology. To provide an application that would monitor task status and to produce a report for each progress. Designating the number of tasks to every employee based on the project list while in the meantime, to screen the status of every working task and to provide the task report for the completed task. Using the Django framework monitoring the completion time( in hours) of each individual task and by viewing the media uploaded report will be generated. By this report, we will able to predict each and individual employee’s working skills and efficiency, with this we will be able to foresee what sort of undertaking does the specific worker can complete inside cutoff time. For each Information Technology based organization this framework ought to be obligatory in light of the fact that it is valuable during the examination of the organization. For the culmination of the task, it requires more noteworthy the ability to do it well. More prominent proficiency requires lesser time and a high ability to finish the errand. 04 30 2020 864 869 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.F4010.049620 https://www.ijitee.org/portfolio-item/F4010049620%5D/ M.tech Computer Engineering, Charotar University of science & technology, Changa, Gujarat, India. Nayna Parmar* Nikita Bhatt Assistant Professor, Department of Computer Engineering, CHARUSAT University, Changa, Gujarat,India. Automatic Identification System gain demand and liking to be installed in navigational frameworks for collision mitigation due to more extensive inclusion. The as of late created satellite Automatic identification system gives better exactness than the prior utilized Terrestrial Automatic identification system. Space based Automatic identification system uses GMSK to regulate the message. The regulated Automatic ID System message is then transmitted & gotten among boats & satellite Automatic ID System over self-organize time division multiple access medium. The regular single axis spacecraft Autometic ID System receiver failed to decode the message precisely due to message cover. Using GMSK demodulation, filter and concept of Viterbi algorithm will try to obtain original message from cover message. In this paper Interference cancelation algorithm implementation corrects the covered AIS message and decode the obtain data. The receiver, transmitter, & Interference cancelation are sketched in very high-speed description language (VHDL) Language. 04 30 2020 870 876 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.F4018.049620 https://www.ijitee.org/portfolio-item/F4018049620%5D/ Assistant Professor, Department of Computer Science and Engineering, ABES Institute of Technology, Ghaziabad, India. Upendra Kumar Tiwari* Abhay Chauhan Department of Computer Science and Engineering, ABES Institute of Technology, Ghaziabad, India. Devraj Kumar Department of Computer Science and Engineering, ABES Institute of Technology, Ghaziabad, India. Ayush Gupta Department of Computer Science and Engineering, ABES Institute of Technology, Ghaziabad, India. Over the past two decades, the internet has exponentially expanded to every part of the world. It has made every single individual as its either consumer or even a producer. And with the evolution of different social networking sites, it has even made individuals upload their personal content over the internet. This personal information compromises information ranging from even the smallest detail ranging from his birthdate to even the place he is traveling to. Uploading personal information over the internet has leveraged various opportunities, it could either be business intelligence or even for the purpose of overseeing a person with antisocial behavior. 04 30 2020 1296 1298 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.F4020.049620 https://www.ijitee.org/portfolio-item/F4020049620%5D/ Assistant Professor, Department of Computer Science & Engineering, Kalyani University, Kalyani, Nadia, West Bengal, India. Debabrata Sarddar* Monish Mukul Das Assistant Professor, Department of Computer Science & Engineering, University of Kalyani, Kalyani, Nadia, West Bengal, India. Priyajit Sen Assistant Professor, Department of Computer Science and Engineering, Vidyasagar University, Midnapore, West Bengal, India. The unsuccessful handoff and call dropping have been a fast growing, challenging and interesting area in real time application. The immense advancement in cellular networks communication study, has made tremendous improvement in the sphere of wireless technologies which are complementary to other and their union for specific area and services has created single wireless network system. The different wireless network systems having separate function have been combined under the concept of Next-Generation Wireless Communications Systems (NGNS) with a view to provide seamless high-quality wireless network services to mobile users. A set of mechanism are proposed for successful handoff process during the transfer of active calls or date session from one cell in a cellular network to another or from one channel in a cell to another maintaining uninterrupted service to a data session user. In this paper factors responsible for unsuccessful handoff and new call dropping probability method with probable control measures are reviewed. Methods are also proposed to increase handoff performance of mobile IP by decreasing the probability of false handoff initiation to a great extent under handoff management protocol of NGWS considering MT speed and handoff signaling which are directly proportional to false handoff initiation. In is reported that electromagnetic radiation is reduced to a considerable limit with the use of multi antennas instead of a single big antenna. 04 30 2020 1299 1204 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.F4022.049620 https://www.ijitee.org/portfolio-item/F4022049620%5D/