-74813b3e17f460286dfff4 20220623074347892 beie:beie director@blueeyesintelligence.org WEB-FORM International Journal of Recent Technology and Engineering (IJRTE) IJRTE 22773878 10.35940/ijrte.2277-3878 https://www.ijrte.org/ 11 30 2019 8 4 Kuban State Medical University, Krasnodar, Russia. Saida Olegovna Apsaliamova* Svetlana Aleksandrovna Kalmanovich Kuban State Technological University, Krasnodar, Russia. Bella Olegovna Khashir Kuban State Technological University, Krasnodar, Russia. Oleg Zakireevich Khuazhev Kuban State Technological University, Krasnodar, Russia. Diana Igorevna Stygun Kuban State Technological University, Krasnodar, Russia. The limitation of traditional approaches to assessing environmental hazards for human health and the inability to establish direct causal relationships have led to the need for the development of probabilistic methods for assessing the harm caused to health, collectively referred to as risk analysis methods. The article aims to determine and compare the information value of some modern criteria for assessing the carcinogenic risk of air pollution for the health of the urban population living in settlements with different industrial profiles. The article defines theoretical approaches to the study of the category of risk and the main directions of research in the field of environmental risk assessment. Based on the analysis of the scientific literature and the determination of carcinogenic risk, the authors analyze the problems arising from the air pollution of industrial centers. 11 30 2019 9106 9111 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D8799.118419 https://www.ijrte.org/portfolio-item/D8799118419/ Assistant Professor in the Department of Information Technology, SRM IST, Ramapuram. R. Mythiliis* Meenakshi Kumari Pre –Final Year Student of B. Tech, Information Technologyand Engineering in SRM InstituteofScience and Technology,Ramapuram, India. Neha Pal Pre –Final Year Student of B. Tech, Information Technology and Engineering in SRM InstituteofScience and Technology,Ramapuram, India. Apoorv Tripathi Pre –Final Year Student of B. Tech, Information Technology and Engineering in SRM InstituteofScience and Technology, Ramapuram, India. Internet of Things (IoT), a well-known branch of computer science has introduced smart farming to each and every farmer’s neighborhood while offering constructive green agriculture. IoT depicts a self-configuring chain of components. The efficient implementation helps agriculture, a self-discipline as nicely as reducing human work and increasing crop cultivations. This paper endorses sensible IoT based Agriculture Stick as farmers aid by obtaining Live knowledge (Temperature, SoilMoisture) of farm data.These live readings help the farmers to try clever farming and to increase their average crop yields, also the quality of plants.The Smart Agriculture with Arduino Technology supports the farmers to control the live farm data and get the desired crop cultivation results. 11 30 2019 5490 5494 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D8806.118419 https://www.ijrte.org/portfolio-item/D8806118419/ Bachelor’s Degree, Economics from Manohari Devi Kanoi Girls College, Assam, India. Chumki Handique* With an aim to achieve a status of 5 trillion economy, India has to fulfil the criteria of achieving minimum 9%+ growth rate consistently for next five years. But at present, the economic indicators of India reflect a dismal picture to achieve that goal. The economic growth rate of India has gone down to almost five percent in first quarter of financial year 2019-20. Since the opening up of the Indian economy in 1991, the role of private sector in reviving the country’s growth cannot be overstated. Expanding investment in infrastructure is often projected as a weapon which can play a counter cyclical role in the phase of such economic crisis. In an attempt to analyse the impact different modes of investment in infrastructure on economic growth of India, this paper examines the trend of investments by private as well as both public and private (joint) since 1990s. Further, a time series econometric analysis is carried out for a period of twenty-eight years (1990-2018) wherein the nexus between investments (primarily in transportation and energy sector) and economic growth of India (GDP per capita) is examined. To examine the dynamic relationship between the variables, their causality, exogeneity and comparability, the Vector auto regression (VAR) model, along with the Forecast Error Variance Decomposition (FEVD) and Vector Error Correction Model (VECM) is used. The results of VAR and VECM suggests that there is significant impact of investment in infrastructure upon economic growth of India. 11 30 2019 8677 8683 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D8807.118419 https://www.ijrte.org/portfolio-item/D8807118419/ Research Scholar, Department of Computer Science, Sri Padmavathi Mahila Viswavidyalayam, Tirupati, Andhra Pradesh, India, Padmavathi Vanka* Prof.T. Sudha Professor and Head,Department of Computer Science, Sri Padmavathi Mahila Viswavidyalayam, Tirupati, Andhra Pradesh, India Big data mining is one of the upgrowing technology to represent the greater number of data into a single repository and within the Ad-hoc repository to main the high-level abstraction as per the intended request. The Big data is used in the various sectors for the nature of the usability, the medical sectors uses the big data concept to store more patients records for the intended need. Performing a Mining operation in the big data is not a challenging task as we have much more protocols available to extract the intended data set to be mined from the big data repository. In this paper we find the solution for the detection of Brain Tumor with the MRI Image Datasets which is being created and stored in the repository. The Similar Datasets is being created from the various other MRI Images and being stored in the Big Data MRI Repository. The Patient MRI is being compared with Existing patterns with two types of mining operation namely Substantial Mining and Structure Mining which gives the exact location coordinates of the existence of the tumor in the records. This method uses two variant algorithms to cross verify all the axis in the 360o rotation for the verification of the data sets which adjoins with the finding of the existence of tumor in the MRI Image. We Propose Unified Structural Architecture which comprises of two main algorithms namely Partially Augmented Direct Mean Analytics Algorithm for the Substantial Mining and Vertically Augmented Tensor-Heap Interface Algorithm for the Structure Mining in the defined repository to efficiently mine in the information for verifiable usage. The Performance of the algorithm is being compared with the other existing Substantial Mining and Structure for the accuracy mean value. The Simulated Result has provided the evidence for the high dimensional efficiency and throughput of the proposed system 11 30 2019 9112 9116 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D8808.118419 https://www.ijrte.org/portfolio-item/D8808118419/ Department of Mathematics, National Institute of Technology Silchar, Silchar, India. Biplab Singha* Mausumi Sen Department of Mathematics, National Institute of Technology Silchar, Silchar, India. Nidul Sinha Department of Electrical Engineering, National Institute of Technology Silchar, Silchar, India. Hesitant degree plays an important role for finding the distance and similarity measures between two objects. Many researchers have developed many distance and similarity measures so far but in real life some situations arises where these measures fail to achieve the satisfactory result. In this paper, a new hesitant degree is introduced in the distance and similarity measures so that the limitations which are found can be easily handled with a satisfactory outcome. Finally, the validity of the proposed distance measure is illustrated with a suitable example.. 11 30 2019 9117 9125 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D8809.118419 https://www.ijrte.org/portfolio-item/D8809118419/ Asst.Professor,Department of Computer Science, M.O.P.Vaishnav College For Women(Autonomous),Chennai Dr.R. Anusha* Dengue is a life threatening disease in all the developed countries like India. This is a virus borne disease caused by breeding of Aedesmosquito. Dengue is caused by female mosquitoes. A predictive system which can identify and minime the loss due to this problem can be constructed Datasets used is here the body temperature ,vomiting,metallic taste,joint pain etc.. the main objective ofthis paper is to classify data and to identify the maximum accuracy to predict the dengue fever using description like yes /no. So the classification techniques used here is Bayes classification ,nearest neighbor (knn),naïve bayes,rule bayes,id3,and decision tree .from the classified algorithms Naïve bayes had occurred maximum accuracy of 72%.Rapid miner is the data mining tool used to classify the data mining techniques. 11 30 2019 8685 8688 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D8810.118419 https://www.ijrte.org/portfolio-item/D8810118419/ Razak Faculty, UTM, Kuala Lumpur, Malaysia. M.Z. Hassan S.M. Sapuan Faculty of Engineering, UPM, Serdang, Malaysia. Z.A. Rasid MJIIT UTM, Kuala Lumpur, Malaysia. Banana fiber has potential to be utilized in bio-based composite structures due to its low price, abundantly available and biodegradability. However, the performance of this fiber is still not comparable to the synthetic polymeric system. In this work, the thermal stability analysis and tensile test of optimized banana fiber that was initially evaluated using response surface method were conducted. The thermal analysis and the tensile test were conducted using thermogravimetric analyzer and universal testing machine respectively. It was shown that the banana fiber content offered an outstanding performance in thermal stability. The highest thermal stability however, was found in neat epoxy resin system. The TG and DTG results showed the lowest amount of residue occurred in banana/epoxy composite. The tensile data properties revealed that banana composite is comparable to synthetic samples. 11 30 2019 5899 5902 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D8812.118419 https://www.ijrte.org/portfolio-item/D8812118419/ Computer Science, Dibrugarh University, Dibrugarh,India. Moromi Gogoi* Shikhar Kumar Sarma Information Technology, Gauhati University, Guwahati, India. Knowledge is the most powerful weapon of a society. And in today’s world it is just a click away from the mouse. There is abundance of knowledge and information in the form of newspaper , electronic newspaper ,articles, online journals, webpages , search results etc. And there is a wide range of news from all over the world. But then the choice of news varies from person to person. Some people may prefer sports news to amusement news and some people may prefer political news over sports news and likewise there can be a number of other choices. It completely relies on individual’s decision. Document Classification is the process of classifying a document into a number of predefined classes. In this paper we have done document classification of Assamese text using k-Nearest Neighbor. We have considered only four classes sports , politics , law and science. Our dataset consists of 200 documents collected from major Assamese newspaper . We have divided our data into 3:1. Majority of our datasets that is 75% data from datasets is used for training and the rest 25% of the datasets is considered for testing. 11 30 2019 8185 8188 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D8820.118419 https://www.ijrte.org/portfolio-item/D8820118419/ Research scholar, University of Technology, Jaipur, India, and Assistant professor, Department of CSE, AITS, Rajampet, N Penchalaiah Dr. Jaladanki Nelson Emmanuel Professor, Department of CSE, University of Technology, Jaipur, India S Suraj Kamal Research scholar, University of Technology, Jaipur, India, and Assistant professor, Department of CSE, AITS, Rajampet C V Lakshmi Narayana Research scholar, University of Technology, Jaipur, India, and Assistant professor, Department of CSE, AITS, Rajampet Agriculture is our main economic occupation for ages. But agriculture is primarily limited by the migration of people from rural to urban. To solve this problem, we will use IoT to develop smart agriculture techniques. The Internet of Things (IoT) technological developments has created a revolution in every common field of life, intelligent and smart. IoT refers to a network of things that create their own network. The development of IoT-based Intelligent Smart Farming equipment turns the face of farm manufacturing every day not only into an improvement, it also makes it cost-efficient and reduces waste. The primary objective of the project is to make agriculture intelligent through automation and IoT. 11 30 2019 6129 6134 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D8826.118419 https://www.ijrte.org/portfolio-item/D8826118419/ Civil Engineering department, Kongu Engineering College, Perundurai, India. Dr. S. Balaji* S. Vinodhkumar Civil Engineering department, Kongu Engineering College, Perundurai, India. R.G. Ridhuvarsine Civil Engineering department, Kongu Engineering College, Perundurai, India. A type of geosynthetic material named geogrid plays a pivotal role in the behaviour of concrete by implementing them as an additional reinforcement. Geogrids have good tensile strength as they are formed by the reticulation of tensile elements with an opening of an ample size which allows interlock with the nearby fill materials. These grids are flexible mesh which is highly effective and enhances the life of the structure. The prime constituents of geogrid are polyester, high-density polyethylene, and polypropylene. More often, in the field of civil engineering,uni-axial, bi-axial and tri-axial geogrids are used. As the cost and duration of construction are nominal, geogrids can be optedfor cost-effective and resilient construction. They are frequently used as reinforcement and for stabilization in structures like retaining walls, pavements, foundations, slopes, and embankments. The geogrids are employed in various construction which results in sustainable development. Thus, this paper discusses diverse studies that have been carried out by using different types of geogrids for various purposes by different research scholars. 11 30 2019 5495 5500 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D8831.118419 https://www.ijrte.org/portfolio-item/D8831118419/ Research Scholar, KL University, Vijayawada, Andhra Pradesh, India. Nanditha Boddu* B. Veeramallu CSE, KL University, Vijayawada, AP, India Ad-hoc networks are communications less wireless networks; the most critical problem in mobile ad-hoc networks is energy utilization. Energy could be a restricted resource. All nodes eavesdrops the data transference in its locality and uses energy without need. Nevertheless various existing routing procedures collect route information via eavesdropping. The important reason for more energy utilization is unnecessary eavesdropping and rebroadcasting of RREQ to nodes. We propose a new mechanism to decrease energy consumption called Minimum Number of Neighbor Nodes and Transmission Range Based Overhearing Controlled Protocol. In which node has a choice of whether to send a packet or not by transmit effective info in Announcement Traffic Indication Message (ATIM) window and node selection on the basis of Transmission range and RES. The Proposed protocol is high energy-efficient compared to Conventional 802.11 PSM-established projects. 11 30 2019 8689 8694 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D8832.118419 https://www.ijrte.org/portfolio-item/D8832118419/ Research Scholar, Gitam University, Vishakhapatnam, India M Obula Reddy* J B Seventline Professor, Gitam University, Vishakhapatnam, India. Internet of Things (IoT) Technology rapidly growing area and active research happening in different Layers of Internet protocol stacks. IOT stack have Physical layer& Data Link layer, Network Layer, Transport layer and Application layer protocols and Applications. Now IOT has many applications like Smart cities, Smart Homes, Environmental monitoring, Agricultural Application and Medical data transmission from remote places to expert Hospital. Numbers of IOT Application Protocols (MQTT, MQTT-SN, COAP, XMPP, and HTPP) are available and implemented in rich resource Environments like good computing power and bandwidth. However all Application protocols are not suitable under lossy wireless sensor network environment. In IOT Environment consists of Sensor Nodes, End Systems and related applications. Latency and bandwidth problems exist between sensor node and End Systems in two tier IOT Environment. To resolve this issue, we proposed Three Tier IOT Architecture; it consists of Sensor Node, IOT Gateway /Fog Computing Node, End Systems and Applications. In this paper we proposed flexible design, development and integration of IOT gateway for different IOT applications using MQTT and MQTT-SN Application Messaging Protocols. 11 30 2019 6371 6378 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D8834.118419 https://www.ijrte.org/portfolio-item/D8834118419/ Assistant Professor Department of Mining Engineering AME Tuniversity Chennai-603112. Tamil Nadu, INDIA Ilavalagan* The Usage Of Petroleum In Daily Life Have Increased Much Where The Petroleum Industry Also To Be Develop To Match With The Need. Drilling, An Task Where Petroleum Is Pointed And The Location Is Drilled To Take Out The Petroleum And Petroleum Sub Products From Subsurface To The Surface. Drilling A Well Is Not Also An Easy Way It Have To Meet Some Problems Due To Formation Pressure, Hydrostatic Pressure Etc., To Maintain The Well And To Get Out The Petroleum Well Control Technique Were Used In The Industry. Well Control Means To Prevent The Kick And Safe Guard The Instruments And Peoples Working On The Well. There Were Two Methods To Control The Well, They Were One Circulation Method And Two Circulation Method. In This Paper I Used The Ari Drilling Simulator With Assumed Values And Run One Circulation Method And Finally Observing The One Circulation Method Results ,Given My Conclusion. 11 30 2019 5903 5905 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D88411.118419 https://www.ijrte.org/portfolio-item/D8841118419/ Assistant Professor, Department of Computer Science and Engineering, SSM Institute of Engineering and Technology, Dindigul, Tamil Nadu, India. V. Nivedhitha* A. Gopi Saminathan Professor, Department of Eloctronics and Communication Engineering, NPR College of Engineering and Technology, Natham, Dindigul, Tamil Nadu, India. P. Thirumurugan Associate Professor, Department of Eloctronics and Communication Engineering, PSNA College of Engineering and Technology, Dindigul, Tamil Nadu, India. Wireless Sensor Network (WSN) is composed of several low powered, tiny and cheap sensors deployed over a geographical area to monitor the environment. WSN can be set out in various real time applications like security and surveillance, healthcare monitoring, smart grids, smart buildings, environmental monitoring and industrial applications etc. A WSN includes numerous spatially dispersed sensor nodes or motes that sense the environment, transfer them to a computing device through hoping and processes them to result in useful information. Since motes are low-powered and operate on limited energy resource, prolong usage of same nodes to transfer data may lead to network failure. Clustering provides an efficient technique to increase the longevity of network by efficiently using the residual energy in the motes. We propose a reasonable energy aware routing protocol that implements energy efficient cluster formation through Energy efficient Custer Head Election (ECHA) algorithm that increases the network performance to a greater extent. 11 30 2019 5906 5909 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D8843.118419 https://www.ijrte.org/portfolio-item/D8843118419/ Department of Civil Engineering, Narayanaguru college of Engineering, Manjalumoodu, India. Jothy V K Hema* Bearing capacity of the soil is based on the shear strength of the soil. By improving the shear strength, bearing capacity of soil increases. Various additives such as lime, fly ash, cement, bitumen, tar etc. and easily available on-site materials such as sands, mining waste, natural stone waste etc were using to improve the shear strength of the soil. The main aim of this project is to improve the shear strength of the soil by adding jute fabric in various proportions. Jute fabric is mainly produced from a plant species called Corchorus olitorius. Soil samples were collected from Mangalapuram, Trivandrum and the identification tests such as specific gravity, liquid limit, plastic limit and sieve analysis of soil were done based on IS2720 recommended procedures. As per IS1498 – 1970 the soil is classified as poorly graded sands (SP). Jute fabric is added to the soil on 3%, 6% and 9% of weight of soil sample. Standard proctor test is conducted as per IS 2720 (part VII) to determine the optimum moisture content value (OMC). Optimum moisture content value of the soil sample is 10%. The shear strength of the soil is determined by direct shear strength test, which is conducted on both treated and untreated soil sample. From the result it is concluded that by adding 6% of jute fabric the shear strength of the soil reaches its maximum value, further addition of jute fabric reduces the shear strength of soil. Hence it is recommended to use 6% of jute fabric in sub-grade soils for pavements to improve the shear strength. 11 30 2019 6627 6630 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D8846.118419 https://www.ijrte.org/portfolio-item/D8846118419/ Research Scholar Mechanical Department, MANIT Bhopal Mr. Manish Singh Bharti* Dr. Alok Singh Assistant Professor Mechanical Department, MANIT Bhopal In this study, the semi evaporative cooling framework is assessed which is rely upon the presentation of a massexchanger (RHMX) and regenerative warmth. Prior specialists find the general numerical modeling techniques to overcome the cumbersome computational burden, and built up the information driven artificial neural network (ANN) model. A 1-D numerical model was used to deliver test information for structure the ANN model. Both the ANN models and numerical and the ANN models were affirmed against test results open in the composition with a satisfactory ordinary error level of around 4% reliant on the air temperature change over the dry channel. The assessment between examination information and ANN prediction exhibited incredible prediction accuracy. The typical prediction error between the envisioned and attempted information was around 4% reliant on the air temperature change over the dry channel. With the information driven model, parametric assessments were made to examine the introduction of the RHMX under different working conditions. Finally, a structure advancement of semi meandering evaporative cooling plan of extraction air proportion was coordinated under different surrounding conditions. It was found that the perfect extraction air proportion reduced with the encompassing temperature and furthermore relative wetness which stretched out from 0.3 to 0.36. 11 30 2019 8189 8196 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D8851.118419 https://www.ijrte.org/portfolio-item/D8851118419/ Bengkulu University, Indonesia. Noermanzah* Heny Friantary IAIN Bengkulu, Indonesia. Poetry teaching materials are still textual and have not developed student competence. For this reason, poetry teaching material is needed that truly develops students' competence in mastering poetry material. The purpose of this study is to develop poetry teaching materials for class X high schools by the principles of competency-based poetry material. The research method used is research and development. Data collection techniques using questionnaires and observation. Research data analysis techniques: (1) identification of the need for analysis of available teaching materials, (2) identification of teaching material needs for teachers and students, (3) making poetry based on competency and curriculum, (4) field trial I is validating the device teaching materials, (5) Trial II (field / class trials) until teaching materials are developed, (6) initial design revisions based on findings, and (7) compiling ready-to-use teaching materials (products). Test the validity of research data using the validation test of poetry experts, language experts, and design experts. The results of this study indicate that the competency-based high school poetry class X material is feasible to use because it is arranged based on: (1) analysis of the needs of teaching materials that available in Bengkulu city high school, high school teacher needs analysis in Bengkulu City, (2) preparation of curriculum and syllabus based on the analysis of needs analysis, (3) preparation of syllabus and lesson plans based on needs analysis, (4) preparation of a draft model of teaching materials of poetry based on the lesson plans, needs analysis, and theory of poetry, and (5) test experts and field trials which showed that the model of teaching materials of poetry have a criteria is very good to use. 11 30 2019 6631 6638 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D8855.118419 https://www.ijrte.org/portfolio-item/D8855118419/ M-Tech Scholar, Gokaraju Rangaraju Institute of Engineering and Technology, Hyderabad. G. Jyothi Sri Sravya* Atulkumar Manchalwar Associate Professor, Gokaraju Rangaraju Institute of Engineering and Technology, Hyderabad. In the present paper base isolation system is analyzed and its seismic behavior is investigated using U-shaped steel dampers as an isolator by placing it at the bottom of the structure. It is the most popular way of protecting the structure using control techniques for earthquake ground motion. The dampers significantly reduced damage factors such as displacement and drift. To reduce structural response to external forces, which can be accomplished through the use of special protective systems. So to prevent these damages, seismic isolation technique can be used for newly constructed structures. The time history analysis of the time domain on this structure is conducted by using SAP2000 software. 11 30 2019 12336 12339 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D8861.118419 https://www.ijrte.org/portfolio-item/D8861118419/ Department of ECE, Koneru Lakshmaiah Education Foundation, Vaddeswaram, A.P, India. Pamarthi Kanakaraja* Kotapati Vaishnavi Department of ECE, Koneru Lakshmaiah Education Foundation, Vaddeswaram, A.P, India. Konathala Pradeep Department of ECE, Koneru Lakshmaiah Education Foundation, Vaddeswaram, A.P, India. Pathan Imran Khan Department of ECE, Koneru Lakshmaiah Education Foundation, Vaddeswaram, A.P, India As we all know forests are the main source of oxygen and its protection is essential to sustain the human and animal race. Since we all learnt about the necessity of air, yet we lack at taking measures to protect our mother forest. Forest Fires are the main reason for the deforestation and destruction of trees and wildlife. Forest Fires are due to these two ways either by man-made or naturally caused. In either way we have to pay for the loss occurred because we have left with only certain area for the forest. So, we have to take measures to prevent forest fire at its early stage. The main aim of our project is to design and implement an IoT based hardware module that could detect the fire and prevent it by alerting the monitoring stations with an alert message and also provides location to the nearest base station. An automatic message will be sent to the nearest base station in addition to these, it has a 360 degrees rotation camera which helps to provide continuous surveillance. We can rotate the camera in any direction from the base station itself. A buzzer that alarms when the incident is happening and a water motor, this water motor will be on automatically. We can also find location where the incident is taking place with the help of Wi-Fi module. This device helps in identifying the fire at its early stage and helps in the prevention of spread all over the forest. 11 30 2019 9126 9132 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D8862.118419 https://www.ijrte.org/portfolio-item/D8862118419/ Department of Electronics and Communication Engineering, Koneru Lakshmaiah Education Foundation, Vaddeswaram, A.P., India. Aswin Kumer S V* Pamarthi Kanakaraja Department of Electronics and Communication Engineering, Koneru Lakshmaiah Education Foundation, Vaddeswaram, A.P., India. Kuruvella Naga Arun Sai Krishna Department of Electronics and Communication Engineering, Koneru Lakshmaiah Education Foundation, Vaddeswaram, A.P., India. Macharla Devisri Department of Electronics and Communication Engineering, Koneru Lakshmaiah Education Foundation, Vaddeswaram, A.P., India. Parvataneni Tulasi Department of Electronics and Communication Engineering, Koneru Lakshmaiah Education Foundation, Vaddeswaram, A.P., India. The automobile industries are concentrating to develop the design for self-driving cars. Nowadays they are many possibilities to implement the automated vehicle, but the drawbacks for implementing are also very high. In this paper, the miniature model of self-driving robot is created and demonstrated using the Raspberry pi with supporting sensors and motor drivers. So, this was mainly because of the security concerns that have raised in the initial testing stages. So, this paper could best describe an application that deals with the safety measures of the autonomous vehicles that are going to be dealt with in the nearer future. This paper tells us about how an application can be implemented using Raspberry Pi, camera module and the ultrasonic Sensor. Considering the different features and the cost, on a small scale a two-wheel vehicular robotic prototype has been designed. In the Autonomous car Raspberry pi is the central processor. Different type of images are captured by the camera module, and if these images have captured the color of traffic lights, then if the captured image is of the Red light then the motors of the vehicle should stop such that breaks of the car in real world should work. If the captured image is of Green light then the motors of the car should run and the vehicle should start to move in the direction it want to move and also using the Ultrasonic sensor if any of the objects that are nearby to the vehicle, then the vehicle should change the direction from which it is moving and this is well described throughout the paper. 11 30 2019 5539 5542 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D8863.118419 https://www.ijrte.org/portfolio-item/D8863118419/ Dept. of Computer Science & Engineering Uma Nath Singh Institute of Engineering and Technology Veer Bahadur Singh, Purvanchal University, Jaunpur Prashant Kumar Yadav Surjeet Kumar Dept. of Computer Applications Uma Nath Singh Institute of Engineering and Technology Veer Bahadur Singh, Purvanchal University, Jaunpur The this research article, a neoteric technique is introduced to generate four digit random number for authenticating a user as well as increasing the security of wireless and wired networks by using input based random number generator. An input based random number generator uses number conversion technique and some logical operations. Though the degree of randomness of generated number will not become very high but this hypothesis will increase the security in different areas of computer and sensor network. 11 30 2019 5910 5913 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D8870.118419 https://www.ijrte.org/portfolio-item/D8870118419/ Research Scholar, Department of Civil Engineering, BMSCE, Bengaluru India. Srinivasa B.T. Shankara Department of Civil Engineering, Amrita School of Engineering, Bengaluru, Amrita Vishwa Vidyapeetham, India. S. N. Maya Naik Professor, Dept. of Civil Engineering, BMS College of Engineering, Bull Temple Road, Bangalore-560019 India P. V. Sivapullaiah Pro Vice Chancellor, CMR Uni, Bengaluru Campus, (former Professor, Department of Civil Engineering, Indian Institute of Science, Bangalore The aim of this work is to assess the suitability the locally available black cotton soil amended with industrial waste material such as blast furnace slag in the context of using them as liner materials. The black cotton soil (BCS) and Ground Granulated Blast furnace Slag (GGBS) are mixed in three ratios, 90:10, 80:20 and 70:30 and hydraulic conductivity of these mixtures have been tested using falling head method. The hydraulic conductivity of soil with 30% GGBS is the lowest and satisfies the hydraulic conductivity criteria of 10-7 cm/s or less for liner application. Soil column tests are conducted to determine the transport parameters of chromium through the optimized soil mixture. The transport parameters of chromium through optimized mixture was found to be diffusion coefficient D = 3.9x10-6 cm2/s and retardation factor R = 4.964. BCS with 30% GGBS mixture with a hydraulic gradient of 0.3 and can be used as liner to contain chromium ion as it gives a breakthrough time of more than 100 years for a liner thickness of 1m. 11 30 2019 8197 8201 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D8871.118419 https://www.ijrte.org/portfolio-item/D8871118419/ Department of Economics and Management, Adygea State University, Maykop, Russia. Alexander Mokrushin* Viktoriya Prokhorova Department of Industrial and Project Management, Kuban State Technological University, Krasnodar, Russia. Viacheslav Aluyan Department of Economics and Finance, Kuban State Technological University, Krasnodar, Russia. Sofia Savvidi Department of World Economy and Management, Kuban State University, Krasnodar, Russia. In the conditions of a prolonged financial and economic crisis, limited volumes and forms of state support for agricultural production, maintaining structural imbalance and inequality of intersectoral exchange, the development of vertical integration processes is a priority in improving the competitiveness of the Russian agro-industrial complex. Vertically integrated corporations (VIC) have the potential to ensure the proportional development of the areas of territorial agribusiness, innovative modernization of production assets of agricultural producers, agro-processing structures. The article reveals the transformational potential of vertically integrated corporations (VIC) in improving intersectoral interaction in the agri-food complex (AIC) of Russia. Specific features of the development of integration processes in the agricultural sector of modern Russia are disclosed. The corporate mechanisms for the creation and functioning of vertically integrated structures in the territorial agricultural sector are systematized. The functional content and potential of the VIC in the structural modernization of the agro-industrial complex of Russia, in the development of the inter-branch exchange management system in the agro-industrial complex are disclosed. 11 30 2019 6135 6139 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D8878.118419 https://www.ijrte.org/portfolio-item/D8878118419/ Assistant Professor, Department of ECE in R.M.K. Engineering College, Chennai. Darwin Nesakumar A* M.Daniel Naresh Kumar Assistant Professor, Department of ECE in R.M.K.Engineering College. Chennai. A Swetha Reddy pursuing Master degree in applied electronics from R.M.K. Engineering College, Chennai. P. Mugilan Senior System Engineer, Tractors and Farm Equipment Limited, Chennai. A mobile sink, which is used to fetch data from various sensors to prevent the energy-hole problem or hotspot in WSN. To avoid the delay sustained by calling on the sensors a mobile sink is allowed to visit which is called as meeting points and the remaining nodes deliver their data to nearest rendezvous point. The improvement of sink’s data collecting method as well as the maximization of lifespan of the network is done by discovering a most favorable set of meeting points. However, it is very difficult to discover the assigned meeting points and moving way of mobile sink when the sensor produces data roughly. We propose an ultra-modern ACO based mobile sink data gathering in WSN. The important aims of the suggested algorithm are to elongate the existence of network and to reduce the delay in fetching data from sensor nodes. The algorithm also follows to again select the rendezvous points in order to stable the energy utilization of the sensor nodes. 11 30 2019 5543 5550 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D8883.118419 https://www.ijrte.org/portfolio-item/D8883118419/ Dean - Academics, Bharath Institute of Higher Education and Research, Chennai Dr. R. Venkatesh Babu* Killedar Prashant Ashok Research Scholar, Department of Mechanical Engineering, Bharath Institute of Higher Education and Research, Chennai. Reuse and recycling are better options to derive energy or value added products from waste substances and to minimize the disposal problems. Transformer oil is generally used as a coolant in welding transformers, power transformers and electromotive units. After a prolonged use in these devices, the transformer oil becomes waste and is disposed of. The disposal of used transformer oil causes an environmental pollution. However, the used transformer oil has properties that are similar to that of diesel fuel with a marginally higher viscosity and lower calorific value. The aim of the primary investigation is to reuse the used transformer oil as a possible source of energy to run a small powered, single cylinder, four stroke, and direct injection diesel engine with different compression ratios to study the performance and emission characteristics of used transformer oil. The results are analyzed and compared with diesel fuel operation. 11 30 2019 8202 8207 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D8887.118419 https://www.ijrte.org/portfolio-item/D8887118419/ School of Computing Science and Engineering,VIT Chennai Campus, Chennai, India. M. Diviya* Dr.G. Malathi School of Computing Science and Engineering,VIT Chennai Campus, Chennai, India. Dr.A.K Armel School of Computing Science and Engineering,VIT Chennai Campus, Chennai, India. Supervised Learning, a novel method that figures out how to anticipate the resultant of an input-output pair by inducting data under series of training and testing functions. Regression model is a sub classification of Supervised Machine Learning. In this paper various Regression models such as Logistic Regression, SVM, KNN, Naive Bayes and Random forest have been applied on Heart Disease dataset. The anticipated outcomes draw the deduction on the level of patients inclined to coronary illness dependent on the traits and qualities. In reference to the applied calculations both KNN and Random Forest beats the other relapse calculation with a precision of 88.52%. 11 30 2019 6639 6642 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D8888.118419 https://www.ijrte.org/portfolio-item/D8888118419/ Department Of Electronics and Communication, Dibrugarh University, Assam. India. N K Kaphungkui Gurumayum Robert Michael Department Of Electronics and Communication, Dibrugarh University, Assam, India. Dr Aditya Bihar Kandali Electrical Department, Jorhat Engineering College, Assam, India. Speaker Recognition is the procedure of validating a speaker’s claimed identity using his/her speech characteristics which is unique to each individual. The primary objective of all speech recognition system is a man-machine interface which grants access into the system with the voice characteristics. This will served as a highly secure biometric system where security is the primary concern. The primary aim of this paper is to classify each speaker accurately with MFCC and Back Propagation Neural Network. Scaled conjugate gradient training function is used for back propagation neural network. A small database of 10 people is created from a group of five male and five female uttering the same sentence five times repeatedly. The sentence consists of five different words. The numbers of data set for classification is 22182.The accuracy obtained from the classification is 92.1% with small percentage of 7.9% misclassification which is acceptable good. The tool for simulation is MATLAB. 11 30 2019 9139 9143 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D8889.118419 https://www.ijrte.org/portfolio-item/D8889118419/ Ph.D. Student Department of Civil, Architectural, and Environmental Engineering, Missouri University of Science & Technology Eslam Deef-Allah* Magdy Abdelrahman Missouri Asphalt Pavement Association (MAPA) Endowed Professor; Department of Civil, Architectural, and Environmental Engineering, Missouri University of Science & Technology The crumb rubber modifier (CRM) particles release polymeric fractions in the matrix of the asphalt binder, which increase the asphalt binder’s fatigue and rutting resistance. The used motor oil (UMO) compensates the asphalt binder for the low-molecular-weight components lost during the aging processes. Moreover, UMO could increase the asphalt binder’s fluidity and softness. Therefore, modification of the asphalt binder by CRM in combination with UMO could enhance the asphalt binder’s performance. In this paper, the asphalt binder was modified by CRM. Then, the UMO was added to the crumb rubber modified asphalt (CRMA). The neat asphalt, CRMA, and UMO–CRMA binders’ resistance to rutting and fatigue cracking was evaluated. Temperature sweep test was used to evaluate the neat and modified asphalt binders’ resistance to rutting and fatigue cracking by measuring |G*|/sinδ and |G*|.sinδ parameters, respectively. Linear amplitude sweep (LAS) test was used to analyze the neat and modified asphalt binders’ resistance to fatigue cracking by measuring the number of load repetitions to failure (Nf). It was found that using CRM and UMO enhanced the asphalt binder’s resistance to rutting and fatigue cracking. Therefore, UMO succeeded as a rejuvenator to balance the CRMA binder’s performance. This had occurred by creating a balance between the enhanced properties at high, intermediate, and low temperatures. Interaction temperature plays a dominant role in enhancing the asphalt binder’s performance: the enhancement in rutting and fatigue cracking parameters reached the highest values for CRMA or UMO–CRMA samples interacted at 190°C interaction temperature. At 220°C interaction temperature, these enhancements had decreased due to the devulcanization and depolymerization processes of the polymeric components released in the asphalt binder’s matrix. 11 30 2019 5501 5508 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D8893.118419 https://www.ijrte.org/portfolio-item/D8893118419/