-4d90550d17f4602e089-20bd 20220517034008948 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 Department of CSE, KIIT University, Bhubaneswar, India. Dayal Kumar Behera* Madhabananda Das Department of CSE, KIIT University, Bhubaneswar, India Subhra Swetanisha Department of CSE, Trident Academy of Technology, Bhubaneswar, India. Recommender System or Recommendation Engine gaining popularity as it can tackle information overload problem. Initially it was considered as a domain of Information Retrieval system and was limited to few applications. With the advancement of different state-of-the-art modeling approaches recommender system can be applicable to many application domains. Movie Recommender System (MRS) is widely explored domain and used by many streaming service providers like Netflix, Amazon Prime, YouTube and many more. This system makes use of users’ data to explore and recommends personally as per their taste. In this paper a detailed study on recently published article related to movie recommendation is carried out. Popular techniques for MRS are commonlycategorized into collaborative filtering, content-based and hybridmethod. Neighborhood-based, latent factor based, neural network based and deep learning based techniques have been continuously evolved with application to MRS. Recently proposed models have been reviewed and it is found that hybrid method performs better as compared to individual model. 11 30 2019 10809 10814 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D4362.118419 https://www.ijrte.org/portfolio-item/D4362118419/ Ph.D. Research Scholar, Department of Computer Science, Bharathiar University, Coimbatore, India. A. Parameswari* Dr. M.V. Srinath Director,Department of MCA, STET Women's College, Sundarakkottai, Mannargudi, Tamil Nadu, India. Over the past few years, underwater observation has become an active research area. Due to the higher rate of image degradation in the underwater environment, image enhancement has become one of the problems to be addressed for the underwater research. Underwater images face limitations like color correction, white balance, color contrast and haze. To overcome those problems, a novel fusion method based on the Retinex Color-balanced Piecewise-contrast and Fuzzy Reinforced Trilateral Filter (RCP-FRTF) method is presented for underwater image improvement. With the underwater image given as input, to start with, a color correction model based on the Retinex multi proportions is presented. With the color corrected output obtained, an Eigen-based White Balancing method is applied to generate color balanced model. With the color balanced underwater image, color contrasting is performed using the Piecewise Linear Color Contrast model. After obtaining the latter, the contrast is said to be improved to a better level. Finally, to generate a haze-free image a Fuzzy Reinforced Trilateral filter is applied. The enhanced and de-hazed images are distinguished by reduced noise level, thus enhanced visibility and contrast while the finest edges are enhanced. The proposed RCP-FRTF method provides better performance in terms of PSNR, computational time, complexity and accuracy as compared to conventional methods. 11 30 2019 10815 10822 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D4363.118419 https://www.ijrte.org/portfolio-item/D4363118419/ Associate Professor, ECE Geethanjali Institute of Science & Technology Nellore, AP Dr. D. REGAN* Ms. C. Padmavathi Assistant Professor (PT), ECE TPGIT, Vellore Tamil nadu Human visual system is more sensitive to edges and ridges in the images which composed of high spatial frequency components. Digital images having more spatial variations may contain informative content than their counterparts. Remote sensing images are one of those categories covering different aspects of land surface variations, aerial photographs are obtained on board image sensors on flying platform. Aerial photographs represent the land surfaces consists of textural and structural objects make more presence of edges. Interpolating information of aerial photographs become clumsy when the pixels are corrupted with noises at different density of levels. The kind of aerialphotographsare acquired in various way such as multi/hyper spectral sensors on board of satellites or the planes, by synthetic aperture radar (SAR) in remote sensing. The intelligence of the aerial photographs affected because of noises during image formation process and atmospheric factors. In this paper, unsharp masking (USM) algorithm based image denoising framework is proposed with Gaussian and bilateral filters. Structure similarity index(SSIM) and Image enhancement factor (IEF) based performance comparisons were studied for various noises on aerial photographs and the experimental results shown that the bilateral filter with USM system outperforms the Gaussian filter with USM. The simulation setup demonstrated using both additive and multiplicative noises with the different levels of noise density on aerial photographs. 11 30 2019 10823 10827 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D4364.118419 https://www.ijrte.org/portfolio-item/D4364118419/ Associate Professor, Department of Computer Science, Quaid-E-Millath Government College for Women (A) Anna Salai, Chennai, India. Dr.Jasmine Samraj* Wireless sensor network (WSN) is a noteworthy division in present day correspondence frameworks and faith detecting steering convention is utilized to improve security in WSN. Already, Trust Sensing based Secure Routing Mechanism (TSSRM) was projected which will diminish the overhead steering and improve the unwavering quality of information transmission over the system. In any case, the security tool of this technique might be invalid, if the system steering convention is modified. Hence, in this work, a Parameter and Distributed Trust Based Intrusion Detection System (PDTB-IDS) with a safe correspondence structure with a trust the board framework for remote sensor systems are proposed. The significant commitment is to distinguish different parameters and trust factors that impact trust in WSN is conveyed among different factors, for example, vitality, unwavering quality, information, and so on. Subsequently coordinate believe, proposal believe and circuit trust from those components are determined and the general trust estimation of the sensor hub is evaluated by joining the individual trust esteems. The trust model can decide whether or not the specific hub is pernicious or not by looking at trust got from the proposed method. The numerical assessment of the research work is completed with the help of NS2 simulation environment from which it is proved that the projected strategy provides enhanced outcome than the present TSSRM method. 11 30 2019 11730 11737 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D4365.118419 https://www.ijrte.org/portfolio-item/D4365118419/ ECE department,Jeppiaar Institute of technology ,sriperumbudur,Chennai,India R. Ramakala* Dr.R. Uma ECE department,Jeppiaar Institute of technology , sriperumbudur,Chennai,India A. Parimala ECE department,Jeppiaar Institute of technology , sriperumbudur,Chennai,India W. Nancy ECE department,Jeppiaar Institute of technology , sriperumbudur,Chennai,India D.Joshua Jeyasekar ECE department,Jeppiaar Institute of technology , sriperumbudur,Chennai,India Tyre segregation is one of the indispensible processes in tyre manufacturing industry. In tyre manufacturing industry various size of tyres are examined at segregation unit at a time. Till today the tyre segregation process is done manually which increases the manpower and process time. Tyre sorting is the process of segregating the tyres from different sizes. The sorting process is based on the Geometrical parameter (Inner Diameter, Outer Diameter, Outer Core button Design) of the tyre. This research work is aimed to automate the sorting process of different tyres using Image processing and IOT. This pioneering work depicts a prototype of segregation system which includes the image processing segment to categorize the type of tyres which are fitted for various vehicles. The proposed system consist of Conveyor system, Raspberry pi -3 controller, tyre collecting bin, Servo motor and Image processing camera. This system camera monitors the incoming various tyres from the conveyor, based on the geometrical parameters of the tyres they are segregated and placed in the appropriate tyre collecting bin and the same information is shared to the database through IOT. The proposed model is observed to be very efficient with its counterpart. 11 30 2019 10828 10832 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D4367.118419 https://www.ijrte.org/portfolio-item/D4367118419/ Asst Professor, Department of ECE, VNRVJIET, Hyderabad, India. K Sarath Chandra* K Hari Kishore Professor, Department of Electronics and Communication Engineering, Koneru Lakshmaiah Education Foundation, Vaddeswaram, AP, India. Pushpa Giri Asst Professor, Department of ECE, VNRVJIET, Hyderabad, India. E Santhosh Reddy pursuing Masters in VLSI System Design, Department of ECE, VNRVJIET, Hyderabad, India. At around 10nm, direct source to drain tunneling in COS-MOS technology constituting fundamental limitations that in turn hold back their suitability for modern electronic appliances chiefly as far as area, energy competency and performance. In advanced electronic appliances, memory constituents play a crucial part. Almost in every digital appliance, memory component is mostly preferred due to its unique potentiality to withhold information. Due to rapid technology advancements, architecture of SRAM is truly tested as far as delay, energy efficiency and stability. Traditional 6T memory unit experiences passage transistor conflict arises the contrast among read balance and write competence. The paper that proposed here contrasts the performance of distinctive CNTFET based 8T memory unit architectures like Traditional and Dual-Port with respect to write delay, read delay and power efficiency like static and dynamic. 8T SRAM bit cell is designed with 32nm CNTFET technology using HSPICE Tool. From the HSPICE simulation results, Dual-Port CNTFET SRAM has provide better read and write delays were reduced by ~8.8% and ~16.3%, static power and dynamic power by ~12.5% and ~42.2% respectively than conventional one. 11 30 2019 10148 10152 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D4368.118419 https://www.ijrte.org/portfolio-item/D4368118419/ Science & Humanities Dept., RNGPIT, Isroli-Afwa, Surat, India. Rekh Riddhi Ketankumar* Dr. Jayesh M. Dhodiya ASHD, SVNIT, Surat, India. Execution of any project with optimum duration, cost, quality and risk is very significant for project administrators in recent very competitive commercial situation. Sometimes it is not possible to have detailed earlier statistics about project criteria. In such situations, estimation of different Decision makers are considered in linguistic variables and altered into triangular fuzzy numbers as fuzzy numbers have ability to deal with vagueness. In this paper, we frame a new multi-mode multi objective critical path problem and suggest a possibilistic methodology to find critical path for a project where three decision makers’ views are considered as three modes of execution in terms of linguistic variables. In this paper have formulated model of multiple mode in project network problem and find its solution with fuzzy programming approach with exponential membership and linear membership function. The proposed approach is useful to solve multi-mode project management problem which calculates optimal critical path according to four criteria- time, cost, risk and quality with three activities modes of execution in fuzzy environment. 11 30 2019 10833 10842 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D4372.118419 https://www.ijrte.org/portfolio-item/D4372118419/ School of Electrical Engineering, KIIT University, Bhubaneswar, INDIA. Bhabani Patnaik* Sarat Chandra Swain School of Electrical Engineering, KIIT University, Bhubaneswar, INDIA Ullash Kumar Rout Department of Electrical Engineering, College of Engineering and Technology, Bhubaneswar, INDIA. Solar irradiation is the primary input for the solar PV module. Different types of PV module are used to get high efficiency such as polycrystalline, monocrystalline and amorphous PV module . Among all module polycrystalline PV cell is the most reliable one. Two valuable inputs of a solar PV cell are solar irradiation and temperature. For temperature, solar PV material is very sensitive. However, solar irradiation has many types of wavelengths, and each wavelength has a different effect on solar cell because each wavelength has different energy frequency. Energy frequency is the primary term which affects the output of PV panel.so in this paper two types of experimental analysis has done to know the effect of the colour spectrum, and another experiment has done to know the effect of different types of plastic on PV panel. The experimental data used to verify the efficiency and output power of the system. The results show how the output power and efficiency of PV affected by these two factors. 11 30 2019 10843 10846 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D4373.118419 https://www.ijrte.org/portfolio-item/D4373118419/ M.Tech - Cyber Security and Digital Forensics, Department of CSE, KLEF, Vaddeswaram, A.P, India. Hyndavi Koganti* Dr Siva Nageswara Rao Associate Professor, Department of CSE, KLEF, Vaddeswaram, A.P, India Apple devices are well known for their high-security features in terms of data storage. IOS devices have some restrictions for their usability. The device contains only internal memory and the users can back up their data into iCloud or iTunes. IOS devices are more secure when compared to other mobile devices. The IOS devices can also be jailbroken for the purpose of removing software restrictions and allows the installation of application from the unknown sources i.e., the app that are not unavailable in Apple App store. After jailbreaking, the device becomes vulnerable and lets the attacker to access the device. Apple provides both hardware and software patches to the vulnerabilities, which means many versions can’t be jailbreak so easily. To perform Forensic investigation on the IOS devices, even the forensic investigators need privilege escalation to access the data of the device. The tools which are used to investigate IOS devices are avail as commercial. This project proposes an opensource method to access the IOS device using SSH shell. After the successful mount of device, the data can be acquired for further forensic analysis. Based on the artifacts analysed, the investigators can be able to find the root cause of the crime. 11 30 2019 10847 10855 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D4374.118419 https://www.ijrte.org/portfolio-item/D4374118419/ Department of Electronics and Instrumentation, Kongu Engineering College, Perundurai, Erode, India Venkatesan. B* Sudharsan. T Department of Electronics and Instrumentation, Kongu Engineering College, Perundurai, Erode, India Sugitha. S Department of Electronics and Instrumentation, Kongu Engineering College, Perundurai, Erode, India Sumithaa. S Department of Electronics and Instrumentation, Kongu Engineering College, Perundurai, Erode, India Swarga. S.R Department of Electronics and Instrumentation, Kongu Engineering College, Perundurai, Erode, India In the textile industry, dimension measurement of patterns plays a major role to obtain a perfect fit for a garment. The process of obtaining the measurements must be fast enough with high accuracy to avoid wastage of materials and also to ensure customer satisfaction. Currently digitizer is used to do the measurements of industrial patterns in textile industries. The existing digitizer has certain disadvantages which include high investment and less accuracy due to manual intervention for coordinate mapping. In recent trends image processing is a growing tool to analyse and process the image captured by a camera, which plays the major role in quality control system and material inspection system in various industries. The proposed method acts as a pinch-hitting to the conventional processes by providing a 2D Cam Capture algorithm using sequence of image processing techniques. This eases the measuring process by providing accurate dimensions of multi shapes without any distortion. This computer vision-based system involves capturing the image, processing and shape analysis using pixel calculation algorithm thereby providing accurate measurements. 2D Cam Capture provides an accuracy of 98.6% obtained from 245 samples at a minimum rate of 189.90 ms per iteration.It is cost effective by using a camera and it ease the process of capturing multi shapes without any shape distortion. This method increases accuracy and let the user to achieve their time schedule by way of increasing the productivity. 11 30 2019 10856 10862 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D4381.118419 https://www.ijrte.org/portfolio-item/D4381118419/ Department of Electronics and Communication Engineering, Sri Vasavi Institute of Engineering and Technology, Nandamuru, Pedana, Andhra Pradesh, India. A.Chandra Suresh* Dr.M.Srinivasa Rao* Professor, Dept of C.S.E, Lakireddy Balireddy College of Engineering, Mylavaram, A. P, India. D.V. Sridhar* Department of Electronics and Communication Engineering, Sri Vasavi Institute of Engineering and Technology, Nandamuru, Pedana, Andhra Pradesh, India G.Sita Annapurna* Department of Electronics and Communication Engineering, Sri Vasavi Institute of Engineering and Technology, Nandamuru, Pedana, Andhra Pradesh, India. Road transportation system in Indiafacing big challenge to maintain sophisticate Toll plazas. In general method all Vehicles should stop at toll plazas to pay toll tax. One person at Tollgate collects the tax manually and issues the receipt. After payment, the gate will be opened either mechanical method or electrical method. This is a widely used method in India. Due to this, the wastage of time at toll plazas is the main cause to produce more traffic congestion on highways. Traffic congestion on highways at Toll plazas leads to huge economic loss, fuel and time wastage and causes more pollution. As all the people are very busy with their tight schedules they have no time to spare in the traffic. This traffic congestion leads to wastage of their valuable time causing inconvenience. To overcome the drawbacks of the manual method, Online Toll Payment System is developed to reduce the traffic congestion at toll plazas on highways which will become part of the metropolitan and urban cities these days. This system allows the user to make the payment of toll plazas taxes automatically. In this method we use the authentication cards with the help of radiofrequency. The vehicles should contain an RFID tag that has a unique identification number, like name and license number. (owner). RFID is placed on top of the vehicle and when it reaches the electromagnetic zone near toll plaza the RFID reader automatically captures data and electronically identify, track & store information contained on RFID tag then microcontroller sends the message to phone number placed in RFID card regarding payment. The GSM module is interfaced with Microcontroller to send the messages to the vehicle owner like a web link to pay the toll bill. This payment is done with the help of Payment gateways. If the owner should not pay the money within 20 minutes after crossing the toll plaza, this information is posted in the Cloud server using HTTP server. If he/she does not pay in couple days he receives notice from the respective RTO office with the help of data available in the server. It is repeated periodically may chance to cancel the license of the owner. In this proposed method the vehicles are not supposed to stop at toll plazas. They can directly pay the money through the link generated after crossing the plazas. After payment, the owner gets the message like your payment done successfully. This project uses the RFID cards to store vehicle number, owner mobile number and License number. RF scanner is used to scan the RFID cards and interfaced with LPC 2148 ARM Microcontroller. This controller sends message to owner mobile number with the help of the GSM module. This message contains the payment link. This process saves time, reduces money wastage and fuel consumption thus reduces pollution, congestion is reduced leading to speed transport also maintenance is less comparatively. 11 30 2019 11738 11745 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D4382.118419 https://www.ijrte.org/portfolio-item/D4382118419/ Research Scholar, Department of CSE, Karpagam Academy of Higher Education, Coimbatore, Tamil Nadu, India. Manoj Kumar G* M Abdul Rahiman Research Guide, Karpagam Academy of Higher Education, Coimbatore, Tamil Nadu, India. DANETs, when compared to MANETs, have high network density and mobility over time. To maintain a secure communication over DANET, requires the knowledge of mobility and complex key management scheme based on the topology change. Operation of DANETs can be categorized into two types based on the activity: 1. Activities requiring small key length 2. Activities requiring large key length. For disaster detection and emergency rescues, key length with reduced size (partial authentication mechanism) is preferable, whereas military operation or critical data sharing needs larger key size (complete authentication mechanism). The challenges for key management in DANETs include the identification of which routing information to be trusted, legitimate nodes with the key for conducting safety communication. Maintaining existing key management schemes over network density change leads to a complex routing and data handling methods.. In this paper we propose a novel approach of homomorphic encryption scheme for data communication security by combining network protocol steganographic security management scheme which reduces the critical information leakage in DANETs. The proposed algorithm helps to identify the distributed denial of service attack and identification of malicious nodes. The malicious activities in a group are identified by analysis of link failures, retransmission information encoded over application layers. In order to assure reliability, encoded data is used as a means to monitor, detect and remove malicious nodes from routing table. We conduct simulation experiments by using network simulator 3.26, Open street Map to verify that our method achieves significant improvement in preventing critical data leakage in presence of malicious nodes. 11 30 2019 11529 11533 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D4384.118419 https://www.ijrte.org/portfolio-item/D4384118419/ Electrical and Control Eng. Dept. Arab Academy for Science & Technology, Cairo, Egypt. Hytham M. Hussein* Abd Elhamed Gaafer Electronics and Communication Dept. Arab Academy for Science and Technology, Cairo, Egypt. Ahmed A. Abdel-Hafez Communication Dept. Military Technical Collage Cairo, Egypt Eman H. Beshr Electrical and Control Eng. Dept. Arab Academy for Science & Technology, Cairo, Egypt. Side-channel attack has been a real threat against many cryptographic embedded systems. In this attack, the internal data is retrieved directly by analyzing the power magnitude according to the fact that there is a considerable difference in power when manipulating 0’s and 1’s. A commonly used algorithmic countermeasures incur large execution delay and resources overheads. In this paper, a novel technique using Variable Mapping Substitution (VMS) is proposed for mitigating side channel power analysis attack against Advanced Encryption Standard (AES). VMS-AES is a novel AES-like algorithm which uses Linear Feedback Shift Register (LFSR) to generate the required parameters used to remap the values of substitution box (S-box) randomly to another location depending on a secret key. This remapping also keeps the same good linear and differential properties of the AES S-box. VMS-AES algorithm can be easily deployed in most embedded applications because no architectural change is needed and only software modifications are performed. In our proposal, chipwisperer side channel attack analysis tool is used to verify the effectiveness of the proposed algorithm. Also VMS-AES with different number of rounds is evaluated using three methods: NIST statistical suite tests, correlation coefficient analysis, and cryptographic parameters evaluation to study the effects of this change upon the AES security 11 30 2019 10863 10868 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D4389.118419 https://www.ijrte.org/portfolio-item/D4389118419/ Information Systems Management Department, BINUS Graduate Program-Master of Information Systems Management, Bina Nusantara University, Jakarta Indonesia Fernao Dos Santos* Nilo Legowo Information Systems Management Department, BINUS Graduate Program-Master of Information Systems Management, Bina Nusantara University, Jakarta Indonesia. The increase of public services based on information and communication technology (e-Government) requires a government organization to have IS / IT strategic planning. One of the benefits of IS and IT strategic planning is that e-Government development becomes more targeted, effective, efficient and transparent to support good and clean governance. Ministry of Health Department ICT Timor Leste has also implemented the IS/ IT in carrying out its duties and services, but the use of IS in the office has not been done fully or fully implemented, and there are still many activities that are done conventionally which consequently make the office cannot achieve optimal target and performance. The purpose of writing this Thesis is intended to carry out strategic planning in the operational process of public services to find out the deficiencies that occur in the process of public service, then plan the system strategies and technologies that can improve the system that has been built at the ICT Department of the Ministry of Health of Timor Leste. The method used is the method of analysis, field study methods, and literature study methods. The method used is based on the concept of Ward and Peppard. the analytical methods used are SWOT analysis, PEST analysis, critical success factors analysis, IT Balanced Scorecard analysis and Mc Farlan’s Strategy Grid Analysis. Strategic planning is made and developed from existing IS / IT at the time the research was conducted to fit the direction of organizational development. From the research carried out, an information system strategy and public service operational process technology planning was produced in detail with the aim of helping to facilitate the managers and staff of the Department of ICT in the Ministry of Health to be able to manage their operational processes properly and be able to achieve optimal targets and performance. 11 30 2019 11079 11085 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D4394.118419 https://www.ijrte.org/portfolio-item/D4394118419/ Dept. of Computer Science, SGT College, Ballari, Karnataka, India. SDN Hayath Ali* M. Giri Dept. of CSE, Joginpally BR Engineering College, Hyderabad, India. Multimedia is a modern way of communication where lots of images and videos are been transmitted over the wireless sensor network, hence managing the transmission of these records plays an important role when it comes to speed in which the multimedia transferred. In this paper compression technique and bandwidth utilization method is used for the efficient data transmission. Using this one can minimize the bandwidth utilization by compressing the video to the best format where packet won’t be lost and complete packet will be transferred to the destination node. Remote sensor systems is a developing class of exceptionally powerful, complex system condition over which a wide scope of uses, for example, living space observing, object following, exactness farming, building checking and military frameworks are assembled. [1]The ongoing applications frequently produce earnest information and one-time occasion notices that should be conveyed dependably. The fruitful conveyance of such data directly affects the general execution of the framework. Solid correspondence is significant for sensor systems. In WSN’s for viable transmission of still pictures, sound, and video data implements thorough necessities on the vitality utilization and throughput. [2] It is given in this to examine the presentation of steering traffic for interactive media traffic in WSN for multi jump nodes from the sink. 11 30 2019 10919 10922 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.C4395.118419 https://www.ijrte.org/portfolio-item/D4395118419/ Department of Computer Engineering and Technology, Guru Nanak Dev University, Amritsar, India. Amit Chhabra* Gurvinder Singh Department of Computer Science, Guru Nanak Dev University, Amritsar, India. Karanjeet Singh Kahlon Department of Computer Science, Guru Nanak Dev University, Amritsar, India. Over two decades, Heterogeneous Computing Systems (HCS) are offering large amount of federated computing resources, spanning across different administrative domains, to compute-intensive user applications. Efficient job schedulers are required to allocate HCS resources to user applications to satisfy system provider and user requirements. Offline scheduling is most popular kind of job scheduling in heterogeneous system, in which jobs are collected in batch and scheduled together. Job scheduling in HCS has become NP-hard problem due to system scale, federated structure and high resource as well as job heterogeneity. Simple queuing and deterministic heuristics have failed to provide optimal solution to NP-hard job scheduling problem. Due to NP-hard nature of job scheduling problem, there is always a scope to propose new scheduling solutions using meta-heuristics. Offline scheduling in HCS has been focused more on scheduling independent sequential tasks viz. Bag-of-tasks or Many-tasks. Offline scheduling of parallel jobs (composed of collaborating tasks with no precedence) in HCS has not gained much attention. In this paper, a novel hybrid multi-objective meta-heuristic known as HCSPSO, which combines the qualities of Cuckoo search (CS) and Particle Swarm Optimization (PSO), has been proposed to schedule batch of parallel jobs in multi-cluster HCS platform. Proposed HCSPSO policy is extensively compared with different heuristics and metaheuristics using different resource configurations and real supercomputing workload logs. Comparative results have showed the dominance of the proposed hybrid scheduling algorithm over other algorithms. 11 30 2019 11746 11759 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D4396.118419 https://www.ijrte.org/portfolio-item/D4396118419/ Russian State Social University (RSSU), Moscow, Russian Federation. Elena Vladislavovna Bateeva* Svetlana Jurievna Starodumova Russian State Social University (RSSU), Moscow, Russian Federation. Eduard Victorovich Bogmatsera Russian State Social University (RSSU), Moscow, Russian Federation. Maria Aleksandrovna Volkova Russian State Social University (RSSU), Moscow, Russian Federation. The article is devoted to the analysis of certain aspects of a modern contract of goods delivery for the State and municipal needs, the legal significance of the contract of delivery in the system of the Government Order. The contract of delivery is an essential part of the execution of the State and municipal contract, i.e. the contract concluded on behalf of the Russian Federation Government, any subject of the Russian Federation or municipal settlement with governmental or municipal customer to provide state or municipal needs respectively. By this time there are still serious disputes concerning the role of the delivery contract for the State and municipal needs as a type of civil contract, as well as in the legal regulation and maintenance of the governmental and municipal contract. The significance of matters mentioned is connected with the fact that the Government Order carried out by means of a delivery contract not only meets State and municipal needs but can be also regarded as the basis for running target programs of budget and extra-budgetary financing, as well as the formation of the National Welfare Fund. 11 30 2019 11534 11538 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D4403.118419 https://www.ijrte.org/portfolio-item/D4403118419/ Department of Computer Science & Engineering, Invertis University, Bareilly, UP, INDIA. Anam Khan* Suhail Javed Quraishi* Department of Computer Science & Engineering, Invertis University, Bareilly, UP, INDIA. Dr. Sarabjeet Singh Bedi Department of Computer Science & Information Technology, MJP Rohilkhand University, Bareilly, UP, INDIA. User Specific traits are a very strong methodto strengthen the security of any system as it makes thesystem connected to a specific individual instead of beingaccessed through some token, key, etc. Behavior-based user authentication with pointing devices, such as touchpads or mice, has been obtaining attention. Mouse Dynamicsis method which is inexpensive and provide uniquecharacteristic to prevent unlocked workstations attacks tolock out unauthorized users from accessing the system. Aperceptive survey with comparison on mouse dynamicsbiometrics study performed till now is the objective of thispaper. We consider here the best results reported in terms of FalseRejection Rate (FRR) &False Acceptance Rate (FAR). 11 30 2019 10923 10927 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D4404.118419 https://www.ijrte.org/portfolio-item/D4404118419/ Federal State Educational Establishment High Education «Nizhniy Novgorod State Agricultural Academy», Nizhny Novgorod, Russia. Olga Leonidovna Kulikova* Marina Leonidovna Gusarova Federal State Educational Establishment High Education «Nizhniy Novgorod State Agricultural Academy», Nizhny Novgorod, Russia. Vasily Vasilyevich Saushkin Federal State Educational Establishment High Education «Nizhniy Novgorod State Agricultural Academy», Nizhny Novgorod, Russia. Alexander Vasilyevich Pashkin Federal State Educational Establishment High Education «Nizhniy Novgorod State Agricultural Academy», Nizhny Novgorod, Russia. Nadezhda Ivanovna Volkova Federal State Educational Establishment High Education «Nizhniy Novgorod State Agricultural Academy», Nizhny Novgorod, Russia. Ali Abakarovich Aliev Federal State Educational Establishment High Education «Nizhniy Novgorod State Agricultural Academy», Nizhny Novgorod, Russia. Elena Igorevna Lykova Federal State Educational Establishment High Education «Nizhniy Novgorod State Agricultural Academy», Nizhny Novgorod, Russia. Olga Vyacheslavovna Kozyrenko Federal State Educational Establishment High Education «Saint-Petersburg State Academy of Veterinary Medicine», St. Petersburg, Russia The article is devoted to studying the situation with opisthorchiasis in populations of freshwater fish in the coastal zone of the Gulf of Finland to identify the possible epizootic and epidemic hazards. 11 30 2019 10869 10871 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D4405.118419 https://www.ijrte.org/portfolio-item/D4405118419/ Research Scholar, Department of Civil and Structural Engg., Annamalai University, Tamil Nadu, India. Suganya. N* Thirugnanasambandam. S Professor, Department of Civil and Structural Engg., Annamalai University, Tamil Nadu, India. This research work aims adding further sustainability to the cement - less geopolymer concrete by replacing its natural gravel coarse aggregate by an industrial by-product, scrap steel slag. Geopolymer RC beam of grade M40 with 100% scrap steel as coarse aggregate was studied for its flexural behavior and compared with conventional reinforced cement concrete beam with gravel coarse aggregate. The specimens were tested under two-point static loading. The analysis was also carried out using ANSYS software. The study derived that in all stages, the performance of the geopolymer beam with scrap steel slag was marginally better than the conventional beam with gravel coarse aggregate. The ultimate load carrying capacity, deflection, service load and ductility factor of geopolymer RC beam with scrap steel slag coarse aggregate was comparable to the conventional cement concrete RC beam and is marginally higher. It is also found that conventional RC theory can be used in the calculation of moment capacity, deflection and crack width of the geopolymer beam of study and FE modeling and analysis using ANSYS were comparable to the experimental results. 11 30 2019 10872 10875 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D4406.118419 https://www.ijrte.org/portfolio-item/D4406118419/ Moscow State University named after M.V. Lomonosov, Moscow, Russia Oleg Kosorukov* Igor Ilin Peter the Great St. Petersburg Polytechnic University, St. Petersburg, Russia Olga Sviridova Financial University under the Government of the Russian Federation, Moscow, Russia The paper proposes a model for inventory management and specifically for determining the optimum volume and timing of deliveries, encompassing the uncertainty of demand. The criteria of efficiency are the minimisation of integral costs and maximisation of profit with due regard for the risks of penalties and customer attrition. The triangular distribution is a reference for the distribution pattern of the stochastic demand and delivery timing fluctuations as it is one of the most common choices in case of insufficient statistical data. 11 30 2019 11539 11545 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D4407.118419 https://www.ijrte.org/portfolio-item/D4407118419/ Academic Research, Department of Moscow State Institute of International Relations (MGIMO), Moscow State Institute of International Relations (MGIMO), Moscow, Russian Federation Yana A. Saltykova* The current global transition to a new phase of development under the influence of the Fourth industrial revolution is characterized by the emergence of end-to-end technologies, increasing the speed of introduction of new developments, reducing the life cycle of products, the emergence of new players, strengthening trends in digital transformation. Against the background of the formation of the digital economy, a limited group of leading countries focused on the use of renewable resources and possessing advanced production technologies is emerging. 11 30 2019 10876 10881 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D4408.118419 https://www.ijrte.org/portfolio-item/D4408118419/ Department of Electronics and Computer Engineering,KoneruLakshmaihEducationFoundation,Vaddeswaram,AP,India D.Venkata Revanth Naidu* Sridevi Sakhamuri Department of Electronics and Computer Engineering,KoneruLakshmaihEducationFoundation,Vaddeswaram,AP,India A.Venkat Vardhan Department of Electronics and Computer Engineering,KoneruLakshmaihEducationFoundation,Vaddeswaram,AP,India A significant statistical analysis is done over Eleven Thousand and Two hundred soil data samples of thirteen villages in Guntur District of Andhra Pradesh. Useful relationship among major soil parameters was found. An analytical approach is used to assess the properties of the soil using pandas, numpy and matplotlib libraries in python. Hidden patterns among the soil properties are identified. By using Random Forest Regressor soil data of Guntur district is predicted with considerably higher accuracy. 11 30 2019 10511 10514 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D4411.118419 https://www.ijrte.org/portfolio-item/D4411118419/ Department of Electrical and Electronics Engineering, Sir C. R. Reddy College of Engineering, Eluru, Andhra Pradesh, INDIA S. N. V. Bramareswara Rao* Kottala Padma Department of Electrical Engineering, Andhra University College of Engineering, Visakhapatnam, Andhra Pradesh, INDIA Y. V. Pavan Kumar School of Electronics Engineering, Vellore Institute of Technology - Andhra Pradesh (VIT-AP) University, Amaravati, Andhra Pradesh, INDIA. The rapid day-by-day growth of urbanization significantly increases the burden on utility grid that leads to frequent grid failures. So, Renewable Energy Sources (RES) based local power supply systems, called microgrids, are evolved to augment the utility grid supply. However, these microgrids possess uncertain power generation capacity due to the dependency on variable and uncertain environmental conditions. Thus, the grid failures continued due to unreliable operation of the microgrids. So, as a solution to enhance the reliability of microgrids, this paper suggests an integration of multiple microgrids in an urban locality, which are built by different RES and form a local integrated grid, called “minigrid”. This is further motivated by the present scenario of urban buildings, where most of the cases, the heterogeneous load natured buildings are grouped together in an urban neighborhood, thereby, facilitating resource sharing. This collective operation of multiple microgrids share the generators across all of their loads, thereby manages the power requirement in the locality itself instead of depending on the utility grid. With this view, this paper discusses the development of urban community minigrid, which is formed by integrating different categories of buildings, where each building is associated with its microgrid. This proposed minigrid scheme enhances the power supply reliability by enabling power-sharing among the buildings; as a consequence, it reduces the burden on utility grid. Further, this minigrid enables power import or export to the utility grid during deficit or excess local power generation conditions. 11 30 2019 10882 10892 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D4412.118419 https://www.ijrte.org/portfolio-item/D4412118419/ Department of Computer Science and Engineering, Kammavari Sangham Institute of Technology, Visvesvaraya Technological University, Bangalore, India. Vijayalaxmi Mekali* Dr. Girijamma H. A Professor, Department of Computer Science and Engineering, R. N. S Institute of Technology, Visvesvaraya Technological University, Bangalore, India Mortality rate of lung cancer is increasing very day all over the world. Early stage lung nodules detection and proper treatment is solution to reduce the deaths due to lung cancer. In this research work proposed integrated CADe/CADx system segments and classifies lung nodules into benign or malignant. CADe phase segments Well Circumscribed Nodules (WCN), Juxta Vascular Nodules (JVN) and Juxta Pleural Nodules (JPN) of different size in diameter. This part uses algorithms proposed in our previous WCN, JVN and JPN lung nodules segmentation work. CADx performance classification of segmented WCNs, JVNs and JPNs nodules into benign or malignant. In first part of CADx system hybrid features of segmented lung nodules are extracted and features dimension vector is reduced with Linear Discrimination Analysis. Finally, Probabilistic Neural Network uses reduced hybrid features of segmented nodules to classify segmented nodules as benign or malignant. Proposed integrated system achieved high classification accuracy of 94.85 for WCNs, 97.65 for JVNs and 97.96 for JPNs of different size in diameter (nodules diameter< 10mm, nodules diameter >10mm and < 30mm, nodules diameter >30mm and <70mm). For small nodules achieved classification performance values are, accuracy of 94.85, sensitivity of 90 and specificity of 95.85. And nodules of size 10mm to 30mm obtained accuracy, sensitivity and specificity are 97.85, 97.65 and 94.15 respectively. 11 30 2019 10893 10901 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D4414.118419 https://www.ijrte.org/portfolio-item/D4414118419/ Assistant Professor, Department of Assamese, North Lakhimpur College (Autonomous), Lakhimpur, Assam, India Dr. Bishwa Hazarika* Language attitude is the attitude of the people for a particular language. Assam is a place where many ethnic and indigenous groups are living harmoniously. The Khamti is an indigenous group and a branch of Tai tribe origin at Burma(today Myanmar) having cultural and linguistic identity. They have their own script. The Khamti is a small ethnic group of Assam and their population is very few. Although they have their own language maximum of them use Assamese language for communication. Due the domination of Assamese language Khamti’s are become bilingual. As a result a threatening arises for their language. In such a situation the Khamti’s language attitude to their language is becoming an important issue for preservation and development of Khamti language. This paper primarily tries to analyze the language attitude of Khamti people to their language. Secondly, it tries to discuss the significance of Khamti’s language attitude for preservation and development of their language based on empirical study. 11 30 2019 9957 9961 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D4416.118419 https://www.ijrte.org/portfolio-item/D4416118419/ EMI-SIWEB team, Mohammed V University Rabat Morocco. Fadwa Zaoui* Saliha Assoul Computer Science department, ENSMR, Rabat, Morocco. Nissrine Souissi Computer Science department, ENSMR, Rabat, Morocco. Being a socio-economic lever, the digital transformation presents several opportunities to companies of any sector. Nevertheless, aspiring to digitalization, companies are faced with several challenges, the main one is, the digitalization process. In lack of a digital strategy, companies tend to equate digitalization with IT integration, which implies confusion between the digitalization process and the IT integration process. The paper’s aim is to question this observation, and call for a reorientation of company’s digitalization vision from technology to strategy. In this paper, we contrast a study on the dimensions of digital transformation, supported by a survey on the strategic orientations of digital transformation, and the practices on the ground of this transformation, in order to highlight; the widespread confusion between digital transformation and ICT integration and the limitations of an IT-oriented understanding of the digital transformation. 11 30 2019 9962 9970 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D4418.118419 https://www.ijrte.org/portfolio-item/D4418118419/ his Institut of Mathematics research (IMAR), Felix Houphouet-Boigny University, Abidjan, Côte d’Ivoire, Traoré Issa* Oumtanaga Souleymane Laboratory for Informatics and Telecommunications Research (LARIT), INPHB, 08 BP 475 Abidjan 08 (225), Cote d’Ivoire. Claude Lishou Génie Électrique, Cheikh Anta Diop University, Dakar | UCAD · ESP, Dakar, Senegal Diabetes mellitus has become a public health problem in both developed and developing countries. If it is not treated early, diabetes-related complications in many vital organs of the body can become fatal. Its early detection is very important for early treatment that can prevent the disease from progressing to such complications. This article focuses on designing a system to assist in the diagnosis of diabetes disease based on medical ontology and automatic learning. The proposed method uses automatic learning algorithms as a classifier for the diagnosis of diabetes based on a medical data set. The ontology suggests a pre-processing of a coherent, consistent, interoperable and shareable knowledge basis of data and the machine learning method focuses on classification based on symptoms and medical tests. Based on the experimental results, DDAS not only offers better performance in predicting and diagnosing diabetes in individuals, but also has better accuracy in recommending useful treatment to patients. 11 30 2019 9971 9975 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D4421.118419 https://www.ijrte.org/portfolio-item/D4421118419/ MARA Junior Science College, Jalan Bukit Larut, 34000 Taiping, Perak, Malaysia. Shahizah Shukri* Zaidatun Tasir* School of Education, Faculty of Social Sciences and Humanities, Universiti Teknologi Malaysia, 81310 Skudai, Johor, Malaysia. This study investigates the potential of the peer scaffolding technique in promoting students’ critical thinking engagement. It was conducted using a quantitative descriptive research design. A problem-solving approach was applied in designing the learning activities in Facebook. The Facebook discussion transcripts were analysed using content analysis and social network analysis techniques. The findings showed that offering feedback and offering opinion from the Content dimension were the dominant types of peer scaffolding techniques among students, whereas, for students’ critical thinking engagement, Clarification was the dominant level. Meanwhile, the correlation analysis showed a high and significant relationship between the peer scaffolding applied and the level of critical thinking engagement, compared to the peer scaffolding received and the level of critical thinking engagement. The peer scaffolding patterns applied in promoting high levels of critical thinking engagement were offering cues and offering explanations. In conclusion, peer scaffolding techniques should be utilised in learning, as they encourage students to enhance their critical thinking engagement through the interaction process. 11 30 2019 9976 9985 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D4422.118419 https://www.ijrte.org/portfolio-item/D4422118419/ Escuela de Post Grado, Universidad César Vallejo, Lima, Perú. Flores Zafra David* Carhuancho Mendoza Irma Milagros Escuela de Post Grado, Universidad César Vallejo, Lima, Perú. Venturo Orbegoso Carlos Oswaldo Escuela de Post Grado, Universidad César Vallejo, Lima, Perú. Sicheri Monteverde Luis Guillermo Facultad de Ingeniería y Negocios, Universidad Norbert Wiener, Lima, Perú. Mendivel Landeo Ingrid Vicerrectorado de Investigación, Universidad Nacional de Ingeniería, Lima, Perú. In the company it was identified that the level of maturity in relation to the implementation of the systems is inconclusive, there is little confidence, low level of efficiency, and the times exceed what is stipulated. The objective was to demonstrate that the expert system significantly improves the average time, reliability levels, and efficiency in evaluations of maturity levels in the management of IT services of the Sions Company. Likewise, the CommonKADS methodology was used to build the knowledge of the expert system and SCRUM for the active monitoring of the project. Regarding the methodology of scientific research, it was based on the quantitative approach, pre-experimental design; the study population was made up of 16 evaluations of technology companies in Peru. The results showed that the expert system improved the average time in the evaluation of maturity levels by 85%, compared to the traditional system. In this way, the levels of reliability and efficiency improved by approximately 49% compared to the traditional system. In this way, the levels of reliability and efficiency improve in 49% the capacity of response, the quality of the service and the functional availability in the evaluations of the technological management. Therefore, the processes of the service management phases such as design, strategy, transition, operation and continuous improvement benefit by reducing time, costs and increasing its functionality for companies that have technological services as part of the business strategy. Therefore, the expert system would be applied in companies of different areas that have technological services, whose purpose allows to identify the current state of the service and its possible improvement over time. 11 30 2019 9986 9992 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D4423.118419 https://www.ijrte.org/portfolio-item/D4423118419/ KBPCOES, Sadar Bazar, Satara, India Mrs. Sunita V. Mane* Dr. Uttam L. Bombale Department of Technology, Shivaji University, Kolhapur, India Smart antenna systems strengthen wireless mobile communication, with enhancement over conventional systems, by projecting the signal power in narrow beams towards the desired users and suppressing the signal power towards unwanted users or interferers. Different DOA estimation and beamforming algorithms play crucial role in smart antenna system. In beamforming algorithms, using different techniques complex weights are calculated and applied to the signals from the smart antenna array elements to enhance signals of interest and suppress signals not of interest. In this article Least Mean Square(LMS) technique, Recursive Least Square(RLS)technique and Constant Modulus (CMA)technique adaptive beamforming algorithms are implemented, analyzed and compared using MATLAB simulations to help users to choose amongst them as per the their need, ease and suitability. 11 30 2019 10515 10523 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D4424.118419 https://www.ijrte.org/portfolio-item/D4424118419/ Dept.of Mechanical Engg., Koneru Lakshmaiah Education Foundation, Guntur, India. Surya Narayan Padhi* K. S. Raghu Ram Jasti Kasi Babu, Dept. of Mechanical Engg.,Vignan’s Institute of Information Technology, Visakhapatnam, India. K Suresh Dept.of Mechanical Engg, GIT, GITAM Trilochan Rout Dept.of Mechanical Engg., Parala Maharaja Engineering College, Berhampur,India In this paper few of the factors affecting the dynamic stability of a steel-alumina functionally graded sandwiched (FGSW) beam have been discussed. The equation of motion was derived using both Hamilton’s principle and finite element method. Floquet’s theory was used to separate the stable zone from the unstable. The effect of hub radius parameter and rotational speed on first mode and second mode instability region of FGSW beam have been studied following the power law and exponential law. The results indicated that increasing hub radius and rotational speed keeps the instability region away from load factor axis and hence remote the chances instability of the beam. 11 30 2019 10219 10224 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D4427.118419 https://www.ijrte.org/portfolio-item/D4427118419/ Department of Electrical, Electronics and Communication Engineering, GIT, GITAM (Deemed to be University), Visakhapatnam, India. K. Renu* P.Rajesh Kumar Department of Electronics and communication Engineering, College of Engineering, Andhra University, Visakhapatnam, India, The mostdesirable property required for pulse compression is that the output should have low peak sidelobes that prevent weaker targets from being masked off in the nearby strong targets. Pulse compression can be obtained with matched filter. Matched filter is an optimal linear filter used in radar signal processing and various communication fields to increase the signal to noise ratio. The output of matched filter consists of unavoidable sidelobes which causes false alarm for multiple target detection in many radar system design.For this purpose, mismatched filter is used after matched filter. Inthis paper a new method of design of mismatched filter is discussed which reduces these sidelobes in the compressed waveform. Here new version of cuckoo search algorithm is used along with differential evolution techniquefor complete design of proposed filter to compare the performance of chaotic sequence. The performance of pulse compression is measured in terms of peak sidelobe ratio. The simulation results showthatdevelopmentin the performance of chaotic sequence is obtained at the output of cascaded filter. And further improved performance is achieved with adaptive filters. 11 30 2019 10225 10231 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D4431.118419 https://www.ijrte.org/portfolio-item/D4431118419/ Department of Computer Science & Application, Prabhat Kumar College, Contai, Purba Medinipur, West Bengal, India Jayanta Kumar Pahari* Arindam Roy* Department of Computer Science & Application, Prabhat Kumar College, Contai, Purba Medinipur, West Bengal, India IoT (Internet of Things) has been an enormous expansion in the upcoming years Information and Communication Technology. It is anticipated that over near about 5 billion devices will become a component of the IoT in the next upcoming years. Security issues of the IoT network should be the primary priority. In this paper, we analyzed the security challenges in the five layers of the IoT architecture and we proposed their solution. In addition, significant security technologies like encryption are also evaluated with respect to the IoT. Finally, we discuss prevention methods of the security attacks on different layers of IoT and emphasize the future research scope surrounded by the IoT architecture. 11 30 2019 10232 10238 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D4434.118419 https://www.ijrte.org/portfolio-item/D4434118419/ Asst. Professor, Department of Civil Engineering, GIT, Gandhi Institute of Technology and Management (GITAM Deemed to be University), Visakhapatnam, A.P. *Srikanth Satish Kumar Darapu Hema Sumanth Bomma P.G student, School of Mechanical and Building Sciences, Vellore Institute of Technology (VIT) Chennai, Tamil Nadu - 600127, India Kode Venkata Sayi Sankeerth B.Tech. Student, Department of Civil Engineering, GIT, Gandhi Institute of Technology and Management (GITAM deemed to be University), Visakhapatnam, Andhra Pradesh - 530045, india. Swathi Boosala Asst. Professor, Department of Mechanical Engineering, Vignan’s Institute of Engineering for Women (VIEW), Andhra Pradesh - 530046, A.P., India. Water is essential for human life, which is vastly used for basic needs like drinking and other domestic, irrigational and industrial purposes etc. The main sources of water are classified as surface and sub-surface sources. The surface water resources are varied like rivers, ponds, lakes etc. but the sub-surface resources are only water bearing aquifers. Day by day the sub surface water is degrading due to many reasons like pollution, climate change etc. Therefore, studies on conservation of ground water is important. For the present study, data of ground water levels for eleven years (2007-2017) at 69 locations of various mandals (zones) in Visakhapatnam district (Andhra Pradesh, India) was obtained from the A.P. Ground Water and Water Audit Department, Visakhapatnam. By using ArcMap of ArcGIS and the spatial and temporal variations were mapped onto the base map of Visakhapatnam. The results indicated ‘water stressed areas’ in the study region. It was observed that the ground water levels dwindled drastically in the years 2016 and 2017. The results of the study highlighted the immediate necessity to scale up the ground water conservation measures and efficient design of the ground water resource systems in the area. 11 30 2019 11546 11549 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D4442.118419 https://www.ijrte.org/portfolio-item/D4442118419/ Department of Matthematics, Dibrugarh University, Dibrugarh, Assam, India. Debozani Borgohain* This work is focused on the numerical study of thermodiffusion, inclination of the plate, order of chemical reaction, Diffusion-thermo and thermal radiation effects on a steady magnetohydrodynamic convective flow over an inclined plate in a porous medium under the influence of viscous dissipation along with the application of heat generation/ absorption effects. The partial differential equations governing the fluid flow are transformed into coupled non dimensional ordinary differential equations with the help of similarity transformations. Suitable codes in MATLAB’s built in solver bvp4c, which is a highly accurate and efficient solver of MATLAB, are developed to solve these coupled ordinary differential equations numerically. The behaviour of the fluid velocity, temperature and species concentration for variations in the various thermo-physical parameters are illustrated via graphs. From the numerical results it is evident that the heat and mass transfer of the fluid are significantly influenced by the order of chemical reaction, thermal radiation, inclination of the plate, Soret and Dufour effects. Results obtained in this paper may be useful in the field of chemical industries, chemical engineering, petroleum engineering. Gas separating instruments can be installed in big cities as an engineering application so that harmful pollutants can be removed which are present in small quantities mixed with air. 11 30 2019 10239 10245 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D4451.118419 https://www.ijrte.org/portfolio-item/D4451118419/ Department of English, Amrita School of Arts and Sciences,Amritapuri Campus,Kollam, Kerala. Hyma Santhosh* Dr. Beena S Nair Department of English, Amrita School of Arts and Sciences, Amritapuri Campus, Kollam, Kerala.. Ethnicity has always been an aspect of multiculturalism that can destroy as well as unify any nation or community. But when ethnicity unifies, it creates a silver lining even to the most rough and topographical region. Mana Village, also known as the 'Last Village of India' is a perfect example for this as this is a land where culture and tradition bridges the gap between the conflicting lifestyle and beliefs. Mana is a village located in the Chamoli district of Uttarakha6nd. Mana is a land where the natives resemble more to the Tibetan and Chinese people rather than Indians. This paper tries to explore how the unifying power of religion merges with the culture (clothing, construction, body physic) of another nation. The paper will aim to trace the various traditions and practices of Mana people. The paper also explores how India as a nation of multitude of cultures maintains balance and unity amongst its citizens. The diversity of India has always made the onlookers awe stricken. The paper tries to establish ethnicity as a unifying factor than a destructive one by concentrating on aspects like multiculturalism, religion, mythology and nature by reflecting it through the life of the inhabitants. Mana also serves as a region of cultural identity and a hub of Hindu culture through the famous places like Vyas Gufa, Ganesh Gufa, Badrinath etc. On the whole, the paper is a journey through the greatness of a not much popular Himalayan Valley. 11 30 2019 10246 10248 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D4454.118419 https://www.ijrte.org/portfolio-item/D4454118419/ Research Scholar, Osmania University, Hyderabad, India. B. Manjulatha* Dr. Suresh Pabboju Head of IT Department, CBIT, Hyderabad, India. Big Data plays an important role in today’s environment. As technology is rapidly growing, massive amount of data is being generated from various sources like social media, business organizations, healthcare sector, government sectors, educational institutions, iot applications through sensors and many more. It’s a tremendous task to handle such large amount of data by using relational database management systems. This paper briefly describes about what are the various tools and techniques used to manage the data. 11 30 2019 10928 10931 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D4456.118419 https://www.ijrte.org/portfolio-item/D4456118419/ Electronics and Communication Engineering, Kongu Engineering College, Erode, India Kavin Kumar K* Meera Devi T Electronics and Communication Engineering, Kongu Engineering College, Erode, India Abirami R Electronics and Communication Engineering, Kongu Engineering College, Erode, India Akila R Electronics and Communication Engineering, Kongu Engineering College, Erode, India Ashok D Electronics and Communication Engineering, Kongu Engineering College, Erode, India Brain Tumor is the abnormal development of tissues in the brain. According to survey report Times of India, 2019 around 5, 00,000 people are diagnosed with brain tumor in India. Among 5, 00,000 people 20 percent are children. Magnetic resonance image (MRI) used for clinical analysis of human body are sensitive to redundant Rician noise. Rician is the type of noise added during the acquisition of MRI. The removal of noise variance can be performed by constructing many filters. Among those filters, non-local means filter is used for denoising the Rician noise. In this project simulated MRI data and real time clinical data of T1, T2 and Proton Density weighted MRI images are de-noised and the performance metrics is analyzed using PSNR (Peak Signal to Noise Ratio) and SSIM (Structural Similarity Index Metric). The de-noised image is then subjected to thresholding and morphological operators and the tumor region is segmented. 11 30 2019 10524 10529 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D4459.118419 https://www.ijrte.org/portfolio-item/D4459118419/ Under graduation , Electronics and Instrumentation Engineering at R.M.K.Engineering College. Karthikeyan M* Arvind M Under graduation , Electronics and Instrumentation Engineering at R.M.K.Engineering College. Jagan Sandibp NS Under graduation , Electronics and Instrumentation Engineering at R.M.K.Engineering College. Karthik V Under graduation , Electronics and Instrumentation Engineering at R.M.K.Engineering College. Vijayalakshmi S Professor, Department of Electronics and Instrumentation Engineering. She obtained her B.E degree in EEE from Madras University, Chennai Robotic systems are one of the key options for presenting clever services. Time is a fundamental problem when dealing with human beings who face a sudden cardiac arrest that regrettably may want to die due to inaccessibility of the emergency treatment. Therefore, an on the spot treatment the usage of Automated External Defibrillator (AED) should be administered to the victim inside a few minutes after collapsing. Hence we have designed and developed the Ambulance Robot, shortened as AMBUBOT, which brings along an AED in a surprising tournament of cardiac arrest and helps various modes of operation .The prototype with biomedical sensors are utilized for monitoring the affected person health continuously, the region of the patient can also be tracked in case of emergency by using GSM. 11 30 2019 11760 11765 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D4460.118419 https://www.ijrte.org/portfolio-item/D4460118419/ School of Electrical Engineering, KIIT DU,BBSR, India, Sanhita Mishra* S.C. Swain School of Electrical Engineering, KIIT DU, BBSR, India Pampa Sinha, School of Electrical Engineering, KIIT DU, BBSR, India power quality evaluation is highly essential for modern power system to maintain proper accuracy for responsive equipment. There are various power quality indices which evaluates the power quality but it is highly crucial for combining all the indices into a single value which can evaluates the power quality successfully. Considering representative quality factor(RQPF), detailed pollution factor(DPF),total harmonic distortion(THD) and short circuit level(SCL)an untraditional power quality index can be evaluated. Fuzzy inference system has been implemented for doing the incorporation of different power quality indices. In this paper THD module is formed by the union of total harmonic distortion voltage(THDV) and total harmonic distortion current(THDI) and THDSCL module is formed by the fusion of THD and SCL. The innovative THDSCL has better significance for measuring power quality Index 11 30 2019 10249 10252 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D4461.118419 https://www.ijrte.org/portfolio-item/D4461118419/ Department of Computer Science and Engineering, Koneru Lakshmaiah Education Foundation, Vaddeswaram, AP, India. Dr.Shaik Razia* M. V. Dharaneeswara Reddy Department of Computer Science and Engineering, Koneru Lakshmaiah Education Foundation, Vaddeswaram, AP, India. K. J. Sai Mohan Department of Computer Science and Engineering, Koneru Lakshmaiah Education Foundation, Vaddeswaram, AP, India. D. Sai Teja Department of Computer Science and Engineering, Koneru Lakshmaiah Education Foundation, Vaddeswaram, AP, India. Among all the monitoring methods, models with data that is driven have more success rate when compared to any other methods. However these methods are functional to the procedure of material features such as rate of flow, pressure and temperatures. In this we use Keras, in this a group the neurons forms a pair consisting of a unit from visible layer and hidden layer. Forming so they may be formed in a symmetry which provides us to detect the fault. There must not be type of connection between the nodes of a particular group. CNNs are regularized versions of one of the many multilayer perceptrons. Multilayer perceptrons generally means entirely linked networks, that is, each and every neuron that is present in one of the any layer is linked to all neurons in the rest of all layer. The "fully-connectedness" of these modeling networks makes all of them liable for the over-fitting cause of data. Classic ways for the regular use includes accumulation of magnitude measurement of weights by the loss function. On the other hand, CNN took an unusual move towards or step towards the regular use: they take the benefit of the current hierarchical outline in the data set and gather more and more difficult outline using smaller outlines. Thus, on comparing among the connectedness and difficulty, CNN’s are at the least limit. 11 30 2019 10253 10258 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D4462.118419 https://www.ijrte.org/portfolio-item/D4462118419/ Department of Mathematics, Faculty of Engineering and Technology, SRM Institute of Science and Technology, Katankulathur,Chennai-603203, India T. Leelavathy* K. Ganesan* Department of Mathematics, Faculty of Engineering and Technology, SRM Institute of Science and Technology, Katankulathur,Chennai-603203, India The multi objective travelling salesman problem simultaneously optimizes several objectives. It is also called as shortest cyclic route model with multiple objectives provides the shortest route. In this article, the compromised decision support solutions are processed for a multi objective travelling salesman problem. The dynamic programming approach for optimal path with state space tree is used to get the shortest route for the objectives. Based on decision maker's preference, the compromised solution for the multi objective travelling salesman problem is obtained. The proposed methodology is very simple and easy way to get the shortest route which is illustrated with an example. 11 30 2019 10259 10262 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D4501.118419 https://www.ijrte.org/portfolio-item/D4501118419/ Department of World Economy and International Economic Relations, Odessa I. I. Mechnikov National University, Odessa, Ukraine Halyna Alekseievska* Andrii Kyfak Department of World Economy and International Economic Relations, Odessa I. I. Mechnikov National University, Odessa, Ukraine. Tetiana Rodionova Department of World Economy and International Economic Relations, Odessa I. I. MechnikovNational University, Odessa, Ukraine. Sergey Yakubovskiy Department of World Economy and International Economic Relations, Odessa I. I. Mechnikov National University, Odessa, Ukraine. The paper presents a study of the outcomes of the unconventional monetary policy methods that the central banks of developed countries have been applying during and after the global financial crisis. Before the crisis central banks used the interest rate policy as their main tool. But the recent financial crisis has demonstrated the inefficiency of traditional methods (especially after the base interest rate has reached zero). Therefore in response to the global financial crisis, central banks of many countries have taken unconventional measures to overcome the crisis. The paper aims to study the main outcomes of unconventional monetary policy measures of the developed countries and formulate the recommendations for the developing countries. The following objectives are being met in the paper:to reveal the essence of the main mechanisms for implementing the unconventional monetary policy; to evaluate the efficiency of unconventional monetary policy in the US, Japan, United Kingdom;to model the impact of monetary policy of the European Central bank on the consumer price index in the Eurozone countries. Research methods: method of comparative analysis is usedto evaluate the efficiency of the unconventional monetary policy in the US, Japan, European Union and the United Kingdom.The model of themonetary policy impact on the consumer price index is based on econometric analysis and is constructed using the least squares method. The studied model includes both traditional and non-traditional methods.Observation period - quarterly data from 1999 to the second quarter of 2019. The results of the analysis show that unconventional monetary policy methods of the central banks of the developed countries reached major goals - to prevent bankruptcies of large financial institutions in national economies. Moreover, the results of the suggested model show that the European Central Bank policy has also reached its inflation target that supposed to stimulate economic growth; the most significant effect is observed in the first years after the launch of an unconventional monetary policy. At the same time the unconventional tools of monetary policy stimulate the extreme increase of the securities prices, which led to the “overheating” of the US stock market and the EU national bonds markets with the negative yield on government securities of several countries, which may become a trigger for a new global crisis in the future. The result of the analysis of monetary policy in Ukraine shows the limitations of the use of non-traditional measures for the developing countries. 11 30 2019 10263 10268 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D4503.118419 https://www.ijrte.org/portfolio-item/D4503118419/ Electrical & Computer Engineering, North South University, Dhaka, Bangladesh. Minhazul Abedin* Silvy Rahman Urmi Electrical & Computer Engineering, North South University, Dhaka, Bangladesh Md. Towfiqul Islam Mozumder Electrical & Computer Engineering, North South University, Dhaka, Bangladesh. Md. Samiur Rahman Electrical & Computer Engineering, North South University, Dhaka, Bangladesh. Adnan Firoze Electrical & Computer Engineering, North South University, Dhaka, Bangladesh Cricket is one of the most popular sports in the contemporary world. The ebullience of securing victory in a particular match has motivated the rudimentary part of this research aspect. Winning in Cricket depends on various aspects like weather, track records of the performances of players, performances at a specific venue, match experiences, performance against a specific team and the current form of the team and the player. In this paper the main goal is to estimate a win prediction for ODI (One Day International) cricket match. For purposes of model building, various method has been applied retrospectively to the data that are already obtained from previously played matches. From them, Random Forest has given the best outcome of 92.6%. 11 30 2019 10269 10273 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D4505.118419 https://www.ijrte.org/portfolio-item/D4505118419/ Department of Computer Engineering, Shri G.S. Institute of Technology and Science, Indore, M.P., India Ayushi Gupta* Anuradha Purohit Department of Computer Engineering, Shri G.S. Institute of Technology and Science, Indore, M.P., India The most natural, influential and powerful way to communicate or convey a message is face expressions. In the field of computer engineering, facial expression recognition system, is helpful in areas like healthcare system, computer graphics, biometric devices, mobile phones, etc. Technologies such as virtual reality (VR) and augmented reality (AR) make use of facial expression recognition to implement a natural, friendly communication with humans. In this paper an approach for Facial Expression Recognition using Ensemble Learning Technique has been proposed. Ensemble methods use various learning algorithms to obtain good predictive performance that could be obtained from any of the basic learning algorithms alone. In the proposed method, initially the features are extracted from static images using color histograms. This process is done for all images gathered in the training dataset. The ensemble technique is then applied on the featured dataset in order to categorize a given image into one of the six emotions, happy, sad, fear, angry, disgust, and surprise. A satisfactory result has been obtained using static image dataset taken from kaggle and uci machine learning repository. 11 30 2019 10274 10278 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D4508.118419 https://www.ijrte.org/portfolio-item/D4508118419/ B. tech Student, ECE Department, KoneruLakshmaiah Educational Foundation, Vaddeswaram, Andhra Pradesh, India. V. Krishna Chaitanya* N. Pranay manikanta pursuing his B. tech in electronic communication in college of engineering, K. L. E. F, Andhra Pradesh. S. Mukesh Kumar pursuing his B. Tech in Electronics and communication in college of engineering, K. L. E. F, Andhra Pradesh. M. Anil Kumar Currently he is working as an Asst. Professor and pursuing his Ph.D. at KLEF, Vaddeswaram. B. Suresh Asst. Professor, ECE Department, KoneruLakshmaiah Educational Foundation, Vaddeswaram, Andhra Pradesh, India. Dr.V.S. Ghali Professor in ECE, Collegeof Engineering, K.L. University, Vaddeswaram, and Andhra Pradesh, India. This paper reports on the non-destructive (NDT) method to inspect industrial equipment's quality and anomalies by using infrared thermography techniques to identify defects in an artifact such as water, oil or other fluid materials and any disruption or sub-surface fractures by using different types of procedure to recognize defects. Here we discuss various types of thermography techniques, quadratic frequency modulated thermal wave post-processing and region-based active contour image segmentation technique. 11 30 2019 10279 10282 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D4509.118419 https://www.ijrte.org/portfolio-item/D4509118419/ Assistant Professor Department of Information Technology, Faculty of Science and Technology at Suan Sunandha Rajabhat University (SSRU), Bangkok, Thailand. Sumitra Nuanmeesri* Lap Poomhiran student in Information Technology, Faculty of Information Technology, King Mongkut’s University of Technology North Bangkok (KMUTNB), Thailand. Communicating with customers is the key to maintaining relationships so that customers are loyal to the business. But employees in the organization are unable to support or keep contact with the customer all day, especially for community enterprise with limited budgets. The chatbot is one of the tools that can increase the efficiency of automated communication with customers at all times. This paper presents Thai chatbot on social media marketing for community enterprise using the ontology technique. To develop a semi-automatic approach to create query terms and answers in different styles of response which is related to describe the features of online community product purchases for online buyers with community enterprise. The Longest matching approach was used to increase the capability of the Thai word segmentation, thus providing detailed and accurate information. The results show effectiveness and evaluation in terms of the accuracy of the classification and relationship of ontology and black box testing at the high-level while being used has high consensus both experts and users. 11 30 2019 10153 10158 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D4510.118419 https://www.ijrte.org/portfolio-item/D4510118419/ Assistant professor Institute of business management, gla university mathura (up) india Dr. Mini jain* India and the USA are having an unprecedented warmness in their relationship presently. After all the hindrances and hiccups, the two largest Democracies are finally engaged optimally in economic and trade activities. Simultaneously, India is also developing fruitful relationship with East Asian countries and the present government has evolved the Indian foreign policy from “Look East “to “Act East”. However, this Act east policy need not to be seen in isolation and it has to be seen as a strategic alliance between India, USA, and east Asian countries to neutralize the strategically and economic advancement of China as the global economic superpower. This closeness is unprecedented, however it should not be subjected to the sovereignty of the Indian foreign policy and India should remain Non-aligned as it has reaped humongous benefits by being non-partisan. This paper is aimed to highlight the India’s Act East policy and trade relations between the countries. So it is needed to analyze the present trend in the Indian trade with East Indian countries. 11 30 2019 10283 10288 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D4516.118419 https://www.ijrte.org/portfolio-item/D4516118419/ College of Computer and Information Sciences, Polytechnic University of the Philippines, Manila,Philippines Ria Ambrocio Sagum* Monique L. Navarro College of Computer and Information Sciences, Polytechnic University of the Philippines, Manila,Philippines Arvin Jasper E Victore College of Computer and Information Sciences, Polytechnic University of the Philippines, Manila,Philippines Sentiment Analysis is a tool used for determining the Polarity or Emotion of a Sentence. It is a field of Natural Language Processing which focuses on the study of opinions. In this study, the researchers solved one key challenge in Sentiment Analysis, which is to consider the Ending Punctuation Marks present in a sentence. Ending punctuation marks plays a significant role in Emotion Recognition and Intensity Level Recognition. The research made used of tweets expressing opinions about Philippine President Rodrigo Duterte. These downloaded tweets served as the inputs. It was initially subjected to pre-processing stage to be able to prepare the sentences for processing. A Language Model was created to serve as the classifier for determining the scores of the tweets. The scores give the polarity of the sentence. Accuracy is very important in sentiment analysis. To increase the chance of correctly identifying the polarity of the tweets, the input undergone Intensity Level Recognition which determines the intensifiers and negations within the sentences. The system was evaluated with overall performance of 80.27%. 11 30 2019 10289 10293 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D4518.118419 https://www.ijrte.org/portfolio-item/D4518118419/ Department of Computer Science and Engineering, Christ (Deemed to be University), Bengaluru, India Denny Dominic* K. Balachandran H.O.D. Department of Computer Science and Engineering, Christ (Deemed to be University), Bengaluru, India Lung cancer is one of the dreaded diseases. Early detection is highly recommended to save the lives of the people. If the early detection is focused, we can reduce the mortality rate and increase the life expectancy accuracy 13% of the all new cancer diagnosis and 24% of all cancer deaths. There are various methods to detect the lung cancer from x-rays and CT images but the CT images are preferred. The medical images are always preferred to get better results on the same disease. The proposed method here will discuss about how the Watershed segmentation can be applied to the pre-processing of CT scans. The results are used for the deep learning methods so as to get the more accuracy from more image scans. The results are then used for the verification by the medical examiner for the validity of the results. The major pre-processing is done by using Median Filter, Gabor Filter and Watershed segmentation. In this research work we will discuss how the image manipulation can be done to achieve better results from the CT images through various image processing methods. The construction of the proposed method will include smoothing of the images with median filters, enhancement of the image and finally segmentation of the images. 11 30 2019 10294 10297 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D4519.118419 https://www.ijrte.org/portfolio-item/D4519118419/ School of Management, G D Goenka University, G D Goenka Educational City, Sohna Gurgaon Road, Sohna, Haryana-India. Kishore Kumar Morya* Ajit Shankar* School of Management, G D Goenka University, G D Goenka Educational City, Sohna Gurgaon Road, Sohna, Haryana-India. Various factors have led to the emergence of India as the second largest mobile telephony market in the world. In terms of growth velocity, India’s mobile telephony diffusion exhibits three distinct growth phases viz: exponential growth phase, linear high growth phase and linear slow growth phase. This paper describes these phases for growth of mobile telephony in India during 1996-2019 and further attempts to model the diffusion using standard epidemic models like Gompertz, Logistics and Bass Models to examine if they provide a good fit. Assuming that there shall not be any unusually high level of change in the causal variables- saturation tele-density has also been predicted using these models. As a part of a larger study on pricing imperatives of evolving mobile telephony in India, this study strives to add and update the available literature on mobile telephony diffusion in India. It also evaluates the impact of some of the key determinants of mobile diffusion globally on Indian growth story viz: digital divide (between rural and urban areas), per capita Gross Domestic Product, technological evolution; and substitutes like fixed telephones. 11 30 2019 10298 10308 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D4520.118419 https://www.ijrte.org/portfolio-item/D4520118419/ Assistant Professor, Dept. of CSE, Koneru Lakshmaih Education Foundation, Vaddeswaram, Guntur-522502, A.P, India. Radha Mothukuri* Tunuguntla Aishwarya Dept. of CSE,Koneru Lakshmaih Education Foundation, Vaddeswaram, Guntur-522502, A.P, India Chalasani Himasree Dept. of CSE,Koneru Lakshmaih Education Foundation, Vaddeswaram, Guntur-522502, A.P, India Dasari Pushkar Babu Dept. of CSE,Koneru Lakshmaih Education Foundation, Vaddeswaram, Guntur-522502, A.P, India This paper consists of all the actions that are done by the people by using mobile phone. We used to record the actions by using the mobile phone. The main aim of this paper is to construct a classification model that is required for identifying actions of the people. This paper is used mainly to get solution of multi-classification problems. By using in a theoretic way, we can understand what the problem is, but we can only solve the problem by performing it in mathematical way. We can get very perfect result by solving in the mathematical way. Here we are deriving the actions of the persons using mobile phone, in a phone there are many sensors present in it. The sensors used in this paper are Accelerometer, Gyroscope. They are required for determining the actions of the person. The output obtained in this paper is used to compare the values in the term’s accuracy and precision. It uses a 3-dimension based accelerometer in order to collect the values obtained; there we determined that 31 values we contained in it. All the actions that are present are derived by using machine learning algorithms, they are, Naïve Bayes Classifiers, support vector machine, and neural networks. The output of the action determination by using the dataset required is used to determine a decrease of marking work to accomplish similar execution with machine learning. 11 30 2019 10159 10163 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D4521.118419 https://www.ijrte.org/portfolio-item/D4521118419/ Dept. of Biotechnology, Vellore Institute of Technology, Vellore, Tamilnadu, India Nisha Elizabeth Sunny* Dr S. Venkat Kumar Associate Professor, Dept. of Biotechnology, Vellore Institute of Technology, Vellore, Tamilnadu, India. A brisk and one-step green method of stannic oxide (Tin oxide) nanoparticles synthesis from the fruit essence of Averrhoa bilimbi has been described in this paper. Nanoparticle was synthesized using the method of co-precipitation and reduction with plant extract. The synthesized tin oxide nanoparticles have been characterized using different analytical techniques. Characterization was performed using UV-Vis Diffuse Reflectance Spectroscopy, Fourier-Transform Infrared Spectroscopy, Scanning Electron Microscopy, High-resolution Transmission Electron Microscopy, Energy Dispersive Spectroscopy, and X-ray Powder Diffraction. UV-Vis spectrum showed an absorbance in the range of 280 nm to 290 nm. The scanning electron microscopy analysis revealed the spherical morphology of the green synthesized nanoparticles and the energy-dispersive spectroscopy spectrum sights the intense peaks of Sn and O which validate the constitution of tin oxide nanoparticle. Further, X-ray diffraction analysis confirmed the formation of SnO2 nanoparticles in tetragonal crystal structure and the crystalline size of the nanoparticles estimated falls in the range of 2.6 nm. The nanoparticles size is determined to be at close range of 3.08 nm from the transmission electron microscopy studies. The exertion of the SnO2 nanoparticles was found against Klebsiella aerogenes and Staphylococcus aureus. Biosynthesized SnO2 nanoparticles showed antioxidant activity too. These findings support the use of tin oxide nanoparticles in distinct applications remarkably in medical field. SnO2 nanoparticles synthesis using the Averrhoa bilimbi fruit extract is being reported for the first time in this study to the best of our knowledge. 11 30 2019 10309 10315 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D4523.118419 https://www.ijrte.org/portfolio-item/D4523118419/ 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. Pathan Bahalul Khan Department of Electronics and Communication Engineering, Koneru Lakshmaiah Education Foundation, Vaddeswaram, A.P., India. Vudatha Veera Venkata Dileep Department of Electronics and Communication Engineering, Koneru Lakshmaiah Education Foundation, Vaddeswaram, A.P., India. Challapalli Ujwala Department of Electronics and Communication Engineering, Koneru Lakshmaiah Education Foundation, Vaddeswaram, A.P., India. Nowadays, the major biomedical data required for diagnosing the disease is neurons in the nerve cell. Just a brief timeframe after the neuron became recognized as the basic unit of the sensory system, the main endeavors were made to appraise the quantity of neurons in various parts of the sensory system. During the previous century, an incredible number of techniques have been utilized in making such gauges. In spite of the fact that the most generally utilized and acknowledged strategy is that of direct including in the magnifying lens, different systems, including photographic, projection, homogenate, programmed, and visual strategies have been planned. And in this project we are taking a brain tissue as an image data and from that image we are finding the number of neurons which are active in state for the first 24 hrs. and again check for 48 hrs. and finally for 72 hrs. so we here find how neurons are responding after giving information to a body and that information flows through nerves of the body and reaches to the neurons present in a human brain and the neurons react to the information and we take the data that how many neurons are responding to the information that is given to a human body. So, by finding the number of neurons responding to the information given to human body we could estimate the neurons which are alive, and which are dead by this we could declare the mental status of a person. So we are finding the number of neurons with the help of neural network method using MATLAB software and we created a page with the help of MATLAB so we can give input image in the page and the code we written will help to check the number of neurons. 11 30 2019 11151 11157 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D4524.118419 https://www.ijrte.org/portfolio-item/D4524118419/ School of Civil Engineering, KIIT Deemed to be University, Bhubaneswar, India. Abhilash Mishra* Shubham Choudhary School of Civil Engineering, KIIT Deemed to be University, Bhubaneswar, India. Jyotiprakash Padhi* School of Civil Engineering, KIIT Deemed to be University, Bhubaneswar, India. Bitanjaya Das School of Civil Engineering, KIIT Deemed to be University, Bhubaneswar, India. Various parts of the World is experiencing frequent droughts due to climatic uncertainties. Drought is the most difficult and least understood natural hazard which can occur virtually in all types of climatic regions. Therefore, improved scientific analysis for forecasting, monitoring and management of drought is required. Effective drought index (EDI) and Standardized Precipitation Index (SPI) is used for drought analysis in this study, as both indices gained popularity as important drought indicators in recent years across space and time. Therefore, EDI 3 Aug (June, July and August), SPI 3 Aug, EDI 3 Sep (July, August and September) and SPI 3 Sep are estimated by utilizing the monthly rainfall data for 30 (1988-2017) years in thirteen blocks of Cuttack District, Odisha, India for characterising drought during monsoon months. The analysis inferred that, highest number of total drought (moderate+severe+extreme) events occurred in Narasighpur block based on EDI 3 Aug and Tangi-Choudwar and Tigiria blocks based on both SPI 3 Aug. Similarly, maximum number of total droughts experienced by Salepur block based on EDI 3 Sep and Cuttack Sadar, Nischintakoili and Tangi-Choudwar blocks as per SPI 3 Sep. Drought maps prepared for the years in decades (1995, 2005 and 2015) to study the variation of drought spatially as well as temporally during monsoon months based on the computed value of drought using EDI and SPI. In the year 1995, no drought events are observed from the drought map based on the drought value of EDI and SPI. Two rainfall threshold values were also estimated for agricultural drought during monsoon months in this study. The threshold limit for agricultural drought varied from 553.9 to 706.3, 516.2 to 722.8, 614.1 to 687.4 and 586.0 to 702.0 mm based on EDI 3 Aug, SPI 3 Aug, EDI 3 Sep and SPI 3 Sep value respectively. This drought analysis will be helpful for implementing various strategies of water management and crop planning for different blocks of Cutttack District. 11 30 2019 9993 10000 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D4526.118419 https://www.ijrte.org/portfolio-item/D4526118419/ Research Scholar, Vels Institute of Science, Technology & Advanced Studies, Chennai, India, Deshmukh Deepak* M. Chandrasekaran* Professor and Director, Faculty of Mechanical Engineering, Vels Institute of Science, Technology & Advanced Studies, Chennai, India. V. Santhanam Professor and Head, Department of Mechatronics Engineering, Rajalakshmi Engineering College, Chennai, India. The properties of polymer composites can be tailor made by incorporating suitable filler and fiber as a reinforcement in the polymer matrix. In this work, craft shell powder had been used a natural filler in the Epoxy resin and the composites were prepared at various proportions(4%, 8%, 12%, 16% and 20%) of craft shell powder using hand layup method. The specimens were subjected to various mechanical testing such as tensile test, flexural test, impact test as per ASTM standards. The test results revealed that particulate filler reinforcement resulted in marginal increase in tensile strength but the properties decrease at higher volume fraction of the fiber. But, the values of mechanical moduli had shown better improvement due to filler addition. SEM images were taken to analyse the interfacial bonding between the matrix and filler particles. 11 30 2019 11766 11770 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D4528.118419 https://www.ijrte.org/portfolio-item/D4528118419/ Department of Computer Science and Engineering, Koneru Lakshmaiah Education Foundation, Vaddeswaram, AP, India. Shaik Razia* J.Chinna Babu Department of Computer Science and Engineering, Koneru Lakshmaiah Education Foundation, Vaddeswaram, AP, India. K. Hemanth Baradwaj Department of Computer Science and Engineering, Koneru Lakshmaiah Education Foundation, Vaddeswaram, AP, India. K. S. S. R. Abhinay Department of Computer Science and Engineering, Koneru Lakshmaiah Education Foundation, Vaddeswaram, AP, India Anusha M Department of Computer Science and Engineering, Koneru Lakshmaiah Education Foundation, Vaddeswaram, AP, India Nowadays, heart disease has become a major disease among the people irrespective of the age. We are seeing this even in children dying due to the heart disease. If we can predict this even before they die, there may be huge chances of surviving. Everybody has various qualities of beat rate (pulse rate) and circulatory strain (blood pressure). We are living in a period of data. Due to the rise in the technology, the amount of data that is generated is increasing daily. Some terabytes of data are being produced and stored. For example, the huge amount of data about the patients is produced in the hospitals such as chest pain, heart rate, blood pressure, pulse rate etc. If we can get this data and apply some machine learning techniques, we can reduce the probability of people dying. In this paper we have done survey using different classification and grouping strategies, for example, KNN, Decision tree classifier, Gaussian Naïve Bayes, Support vector machine, Linear regression, Logistic regression, Random forest classifier, Random forest regression, linear descriptive analysis. We have taken the 14 attributes that are present in the dataset as an input and applying on the dataset which is taken from the UCI repository to develop and accurate model of predicting the heart disease contains colossal (huge) therapeutic (medical) information. In the proposed research, the exhibition of the conclusion model is acquired by using utilizing classification strategies. In this paper proposed an accuracy model to predict whether a person has coronary disease or not. This is implemented by comparing the accuracies of different machine-learning strategies such as KNN, Decision tree classifier, Gaussian Naïve Bayes, SVM, Logistic regression, Random forest classifier, Linear regression, Random forest regression, linear descriptive analysis 11 30 2019 10316 10320 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D4537.118419 https://www.ijrte.org/portfolio-item/D4537118419/ Assistant Professor - Senior in SCOPE school, VIT University, Vellore 632014, India. Naveen Kumar N* S. Rajkumar Associative Professor in SCOPE School, VIT University, Vellore 632014, India In this paper, we propose a pre-processing step for an efficient edge extraction technique that takes input as an original image to generate an edge map. Generated edge maps could be inputted for state-of-art traditional edge detection algorithms like Canny, Sobel, Prewitt, and recent edge detection algorithms gb-UCM, CED Contours, Structured forest, Sparse Code Gradients and CNN based edge detection Deep Edge, N4 to get better performance. Further, the proposed algorithm has not required any training or learning to improve the edge detection method and is not depending on any parameters. Visual experiments and quantitative evaluation results show that our proposed algorithm greatly improves the modal quality of edge/edge maps. It preserves the original shape, structure of the objects and local features, which presents in an input image. The proposed method takes very less amount of time to execute and making it more suitable for real-time image processing and computer vision applications that depend on edge like classification, object localization, object recognition, image retrieval, segmentation, shape representation. 11 30 2019 11550 11554 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D4539.118419 https://www.ijrte.org/portfolio-item/D4539118419/ Research Scholar, SELECT, VIT University, Chennai, India Jeevan J. Inamdar* K. Iyswarya Annapoorani Associate Professor, SELECT, VIT University, Chennai, India A compensation method for mitigation of voltage related power quality problems with the use of Series Voltage Regulator well known as Series Active Power Filter or Dynamic Voltage Restorer is presented in this paper. The classical control algorithm used for series voltage regulator based on the Park transformation is modified by introducing a Selective Harmonic Filter at detection stage of source current in order to compensate harmonic frequencies which mainly affect power frequency voltages. The significant outcomes are sag restoration, reduction of total harmonic distortion and removal of transients from the supply voltage. Thus it makes possible to improve performance of series voltage controller as power conditioner to mitigate various voltage related power quality issues. The proposed approach is cost effective because same series voltage controller can be used as power conditioner by modifying control strategy used. Also it is possible to eliminate use of PI controller from control circuitry. The usefulness and robustness of the proposed mitigation strategy is confirmed by simulation studies. The presented series voltage controller has ability to mitigate the power quality issues arising due to charging of electric vehicles. 11 30 2019 10164 10170 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D4542.118419 https://www.ijrte.org/portfolio-item/D4542118419/ Asst. Professor, Department of Computer Science and Engineering, Koneru Lakshmaiah Education and Foundation, Guntur, India. P.Venkateswara rao* Pravallika Department of Computer Science and Engineering,KoneruLakshmaiah Education and Foundation,Guntur,India. Manogna Department of Computer Science and Engineering,KoneruLakshmaiah Education and Foundation,Guntur,India. Sree Ram Department of Computer Science and Engineering,KoneruLakshmaiah Education and Foundation,Guntur,India. For the reduction of cost in software testing we propose a novel technique for testing and classifying methods based on clustering methods for classifying test cases for powerful and non-viable groups. This technique is based on data treatment obtained by pre-release of program while testing. Here we introduce 2 new clustering algorithms such as centroid and hierarchical based clustering. The test study expresses that the experiment bunching results can be distinguished viably with high review proportion and noteworthy rate exactness. The present paper tells about the presentation of clustering which move towards by comparing and investigating the factors like criteria coverage, features of construction and pre-release faults quality. 11 30 2019 10530 10535 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D4543.118419 https://www.ijrte.org/portfolio-item/D4543118419/ Collage of Software Sungkyunkwan University / Product Planning Team Samsung Electronic Suwon, City, Republic of Korea. Kyoung A. Kim* Tae Ho Cho Collage of Software Sungkyunkwan University, Suwon, Republic of Korea. Wireless sensor network is formed with limited energy resources, easily compromised by an adversary because of hostile environments. Adversary may use compromised nodes to inject false reports and launch DoS attacks, thus, sensor nodes are prone to failure and which makes the network topology configurations highly dynamic in real world applications. A variety of en-route filtering schemes have been proposed to drop and defeat these attacks by using their own cryptographic methods. Some of them ask for a fixed path between a base station and each cluster, so they are not feasible for dynamic network. Additionally, other proposals do not consider various environmental variables in a dynamic environment, so they only choose static paths. In contrast, we consider topology changes, communication costs, the maximum number of key dissemination hops, and the spread of nodes for providing optimum filtering capacity. This paper presents a fuzzy-based adaptive multipath selection method in dynamic environment of a wireless sensor network. Our proposed method can adjust the optimized number of multipaths during key dissemination. Experimental results show that relatively higher filtering capacity with lower energy consumption and suitable nodes for highly dynamic networks. 11 30 2019 12377 12385 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D4545.118419 https://www.ijrte.org/portfolio-item/D4545118419/ Department of Computer Applications, Cochin University of Science and Technology, Kochi-22, India. Soumya S* K. V. Pramod Department of Computer Applications, Cochin University of Science and Technology, Kochi-22, India. Emojis are generated from the news headlines of Malayalam language using Naive Bayes (NB) and Support Vector Machine(SVM) classifiers. The human brain processes visual data faster than text data. Assigning emoji to the text helps the people easily categorize the news based on the emotion without reading the entire sentence. Six different emojis are assigned to the news headlines based on the emotional contents of the text. These emojis are used for representing emotions like sad, angry, fear, happy, love, and neutral. The dataset contains 3111 sentences which are retrieved from the tweets of Manorama Online. Both Bag-of-Words (BOW) and Term Frequency versus Inverse Document Frequency (TFIDF) features are used for feature vector formation of the dataset. The SVM shows better accuracy compared with the NB classifier. 11 30 2019 10321 10324 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D4549.118419 https://www.ijrte.org/portfolio-item/D4549118419/ Associate Professor, School of Civil Engineering, KIIT Deemed to be University, Bhubaneswar, Odisha, India. Dr. Tribikram Mohanty* Srishti Saha Post graduate student, School of Civil Engineering, KIIT Deemed to be University, Bhubaneswar, Odisha, India. Dr. Purnachandra Saha Associate Professor,School of Civil Engineering, KIIT Deemed to be University, Bhubaneswar, Odisha, India. Dr. Bitanjaya Das Senior Professor, School of Civil Engineering, KIIT Deemed to be University, Bhubaneswar, Odisha, India. A large quantity of waste materials such as fly ash, silica fume, rice ash husk, and ferrochrome ash etc. are produced as a result of rapid industrialization. Ferrochrome ash is derived from the ferro-alloy industry and fly-ash is developed in thermal power plants as substitute products that can be used as a mineral admixtureinconcrete. The present study considers concrete's structural behavior using different percentage of fly ash and ferrochrome ash as a partial replacement of cement. Experiments were performed tosubstitute cement with 10% fly ash, 20%, 30% and 3% ferrochrome ash. Beam specimens are prepared by following standard procedures. It can be inferred from the study that the sample with 30% fly ash and 3% ferrochrome ash as partial replacement of cement gives maximum load carrying capacity among all the beam specimens. Further, it is observed that the beam specimen with fly ash and ferrochrome ash gives more ductility than of conventional concrete. Hence 30% fly ash and 3% ferrochrome ash as partial replacement of cement has been strongly recommended. 11 30 2019 11086 11091 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D4552.118419 https://www.ijrte.org/portfolio-item/D4552118419/ Assistant Professor, Department of Computer Science and Engineering, Koneru Lakshmaiah Education Foundation, Vaddeswaram, AP, India. M. Kavitha* D. Hari Haran Student, Department of Computer Science and Engineering, Koneru Lakshmaiah Education Foundation, Vaddeswaram, AP, India. P. Meenan Student, Department of Computer Science and Engineering, Koneru Lakshmaiah Education Foundation, Vaddeswaram, AP, India. J. Likhitha Priya Student, Department of Computer Science and Engineering, Koneru Lakshmaiah Education Foundation, Vaddeswaram, AP, India. Shoulder surfing is a kind of technique applied to sneak the personal data like passwords and some confidential data of the user. For this type of attacks there is no need of any kind of technical knowledge but just a keen observation towards the user performance is necessary. However, secret gadgets made these shoulder surfing easy for the attackers like cc cams. To overcome these attacks some authentication schemes are proposed- Illusion pin that works on digital display. It applies the method of hybrid pictures with 2 keypads blended one keypad with another, it is designed by using the human visibility and quotes the least distance at which an attacker is incapable to understand the buttons. We developed an innovative shuffling algorithm for shuffling the keys for every single pin entry. Using this Shuffling algorithm, we create a new pattern of the keypad for every exclusive entry of the pin. Through this technique the attacker is unable to track the pin even if he remembers the spatial arrangement of the digits in a keypad. To provide more security we are adding one-time password generating (OTP) technique. 11 30 2019 11555 11559 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D4580.118419 https://www.ijrte.org/portfolio-item/D4580118419/ Associate Professor, Symbiosis Institute of Management Studies, SIU, Pune, India. Suruchi Pandey* Pridarshini Khaskel Student Manager, Symbiosis Institute of Management Studies, SIU, Pune, India HR is facing the transformation challenge and disruptive impact of AI in its functions. In this study, we shall bring into light certain challenges faced by AI in HR and the technological counter solutions to it that have been reinstated. Many companies like IBM, have reengineered its HR service delivery strategy to render intelligent agents to the services being provided toits managers and associates, answer their queries and suggest decisive aspects of employees roles, careers, rewards, compensation and learning. Also United Health Group is on building a graph database which uses AI to identify improvements in efficiency and quality of services. Such instances create the need to study the reaction of the Gen y which composes more than the 50% of the working population i.e population under 25 and around 65% is under the age of 35 and their reaction to the transformation in HR systems to it quotes Forbes study1,7, 27. A qualitative study was carried out and Gen Y professionals were interviewed to seek the feedback. The HR themes and functional areas were identified which are perceived as areas where application of AI is possible. A deep-learning model using Neuroph Studio was created to capture the perception of the young working professionals. The study brings out the statistics to a clear majority of the sample to believe that AI must be implemented in the current HR systems. The research is useful to current practitioners of profession of HR. The study implies that AI will enter HR roles and working population is ready for it. The study is good indicator for artificial intelligence developers as areas of application are identified. 11 30 2019 10325 10331 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D4585.118419 https://www.ijrte.org/portfolio-item/D4585118419/ Computer Science Engineering Dept., IKGPTU, Kaurthala, Punjab, India. Neelesh Chourasiya* Neeraj Mohan Computer Science Engineering Dept., IKGPTU, Kapurthala, Punjab, India. The usage of hand-held and mobile devices has been increased rapidly in recentyears. The execution of sophisticated softwares and Apps on mobile phonescan lead to poor performance with respect to energy consumption and response- time. With the emergence of the offloading concept of App workloads, an attempt has been made toimprove the performance of the hand-held devices by exploiting cloud service. The computation offloadingin hand-held devices consumes energy as well as time for transferring the datafrom hand-held devices to cloud. For the effective use of cloud services, there is a need to optimize the execution time of mobile App and energy consumedby the respective App. Many research endeavors have been made in recentyears to reduce the execution time and energy consumption during offloadingprocess. However, the usage of offloading has been evolved to quench the thirstof mobile users who execute multiple Apps simultaneously and are in dire needof seamless connectivity but some dynamic algorithms are needed to decidewhether offloading is favorable or not for a mobile App. If the mobile Apptakes more time and consumes more battery if executed on cloud then it isrecommended to use mobile platform rather than using cloud services. In thispaper, we are presenting machine learning based techniques which would help the mobile users in decision making to execute the App on mobile devices or on cloud using cloud services. 11 30 2019 10536 10543 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D4602.118419 https://www.ijrte.org/portfolio-item/D4602118419/ Assistant Professor, Department of CSE, Sri Ramakrishna Institute of Technology, Coimbatore, India. M.P. Geetha* Dr.D.Karthika Renuka Associate Professor, Department of IT, PSG College of Technology, Coimbatore, India Recommender System is the effective tools that are accomplished of recommending the future preference of a set of products to the consumer and to predict the most likelihood items. Today, customers has the ability to purchase or sell different items with advancement of e-commerce website, nevertheless it made complicate to investigate the majority of appropriate items suitable for the interest of the consumer from many items. Due to this scenario, recommender systems that can recommend items appropriate for user's interest and likings have become mandatory. In recent days, various recommendation methods are applied to resolve the data abundance setback in numerous application areas like movie recommendation, e-commerce, news recommendation, song recommendation and social media. Even if all the available current recommender systems are successful in generating reasonable predictions, these recommendation system still facing the issues like accuracy, cold-start, sparsity and scalability problem. Deep learning, the recently developed sub domain of machine learning technique is utilized in recommendation systems to enhance the feature of predicted output. Deep Learning is used to generate recommendations and the research challenges specific to recommendation systems when using Deep Learning are also presented. In this research, the basic terminologies, the fundamental concepts of Recommendation engine and a wide-ranging review of deep learning models utilized in Recommender Systems are presented. 11 30 2019 10544 10551 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D4609.118419 https://www.ijrte.org/portfolio-item/D4609118419/ Research Institute of Applied Biotechnology, Kostanay, Kazakhstan. V.I. Piontkovsky* A.M. Ergazina Kostanai State University named after A. Baitursynov, Kostanay, Kazakhstan. V.A. Sapa Kostanai State University named after A. Baitursynov, Kostanay, Kazakhstan. G.K. Murzakaeva Kazakh Agro-Technical University named after S.Seifullin, Nur-Sultan, Kazakhstan. E.O. Rudenko Veterinarian diagnostic laboratory «VetLab», Kostanay, Kazakhstan. The paper discusses epizootic situation of cattle brucellosis in the Republic of Kazakhstan and the subjects of the Kostanai region. The system of comprehensive anti-brucellosis measures based on the major principles with integrated organizational, economic, general veterinary and sanitary and special measures using specific prevention means according to certain schemes or without them, depending on the current epizootic situation, which transfers brucellosis into the category of controlled or potentially curable ones, is analyzed. Convincing evidence of the role of these factors in relation to the success of prevention and rehabilitation of infected herds is provided. The long-term research results indicate that in the regions largely affected by brucellosis complete recovery of cattle without specific prevention measures is practically impossible. In this regard, to eliminate the risk of infection we proposed schemes of anti-brucellosis immunization in safe regions and the subjects affected to different degrees, as well as that for imported pedigree cattle and its offspring. The schemes stipulate vaccines (dosage, frequency, place of immunization, intervals, timing of revaccination, etc.), timing and methods of examination different gender and age groups of cattle. 11 30 2019 11560 11564 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D4611.118419 https://www.ijrte.org/portfolio-item/D4611118419/ Assistant Professor, Department of Commerce, Kristu Jayanti College, Bangalore, India Dr. C. Nagadeepa* Dr. Reenu Mohan Assistant Professor, Department of Commerce, Kristu Jayanti College, Bangalore, India. Ajith Singh B.Com, Department of Commerce, Kritu Jayanti College, Bangalore, India. An ethical hacker is a person or a company who has permission from the owner of the system or network to test and penetrate the system in order to find any kind of vulnerabilities, weaknesses or loopholes in the network so that these can fixed and system can be secured from black hat hackers. Ethical hackers use the same kind of tools and methods to test the system as black hat hackers. As we are in digital world it is necessary to protect our network from various hacking attack on our networks. If we have our networks tested and secured, we can protect our data and digital footprints from going into wrong hands. Current research paper will talk about the most common kind of hacking attack by black hat hacker “network hacking” just by gaining access to the AP of your network and simply putting some commands and all your data can be captured and altered through some software provided by the platform like kali Linux. To safeguard our data, among the various technologies are WEP, WAP and WAP2 are used prominently. Which also have some vulnerability in it, this research paper will be discussing about these weaknesses of each technology in detail and at last it will also be discussed on different ways to protect our mobile, system, etc from such attempts of hacking into our networks. 11 30 2019 10332 10334 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D4612.118419 https://www.ijrte.org/portfolio-item/D4612118419/ Department of Electronics and Instrumentation Engineering, Lakireddy Bali Reddy College of Engineering, Mylavaram, Andhra Pradesh, India. Poornaiah Billa* Anandbabu Gopatoti Department of Electronics and Communication Engineering, MVR College of Engineering & Technology, Paritala,Andhra Pradesh, India. Kiran Kumar Gopathoti Department of Electronics and Communication Engineering, Institute of Aeronautical Engineering, Hyderabad, 500043, Telangana, India. K.C Koteswaramma Department of Electronics and Communication Engineering, Institute of Aeronautical Engineering, Hyderabad, 500043, Telangana, India. The object of this paper is to detect faces in noisy images. All sample images show homogeneous background faces. The transformation of the Hit-Miss is used to detect object boundaries and remove the noise effect. Two filters are cascaded to handle high noise levels in a special way. An application for face detection in noisy conditions is presented. The algorithm is implemented on faces taken from the Manchester face database after adding Gaussian noise to them. 11 30 2019 10335 10338 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D4613.118419 https://www.ijrte.org/portfolio-item/D4613118419/ Department of Computer Science and Engineering Koneru Lakshmaiah Education Foundation Vaddeswaram, AP, India R. Ramya Sri* G. Susmitha Department of Computer Science and Engineering Koneru Lakshmaiah Education Foundation Vaddeswaram, AP, India K.Sai Surya Department of Computer Science and Engineering Koneru Lakshmaiah Education Foundation Vaddeswaram, AP, India V. Bhavani Asst Professor, Koneru Lakshmaiah Education Foundation, Vaddeswaram, India K Venkata Raju Assoc Professor, Koneru Lakshmaiah Education Foundation Vaddeswaram, India We are well aware of the many problems that our current generations are facing. From all these new enhancements in the real world, it has been quite hard for them to keep up with everything evolving around them. Keeping all this in mind, they work day in and out to make sure that their knowledge of their surroundings up to date. However, we believe that they fail to take care of themselves in the process correctly. No matter how much a particular individual may withstand in terms of workload, stress, or other mental & emotional barriers, our physical body will always be the critical aspect to overcoming them. Most people believe that working out and maintaining physical fitness are the significant aspects to sustain an excellent physical form, but they simply overlook the most crucial element which is their eating habits [1]. Although our body may be physically fit, the nourishment of our body depends on the eating styles that we follow on a day to day basis. Food is what nourishes our body with most of the proteins & minerals that we require; without it, we wouldn't be able to accomplish much. On conducting worldwide research on people's lifestyles, we were able to conclude that over the past 33 years, the obesity rate among human beings has increased by a mere 27.5%. What seems to be the most thoughtful yet intriguing fact is that although many people are overweight as well as obese, they still believe that their eating habits are healthy [2]. Most people are living in the dilemma of the fact that they maintain a healthy lifestyle. We aim to study the views on a healthy lifestyle as per the norms of our current generation. We want to analyze their daily eating habits as well as their thoughts on their lifestyle. So the question that remains is “What exactly is a Healthy Eating Lifestyle?”[3]To know the accuracy of our data set we use the machine learning algorithms like Support Vector Machine (svm), Naïve-Bayes Classifier which are used for both classification and regression [4]. 11 30 2019 10339 10345 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D4616.118419 https://www.ijrte.org/portfolio-item/D4616118419/ Federal State Budgetary Scientific Institution “Yakut Research Institute of Agriculture named after M.G. Safronov”, Yakutsk, Russian Federation. Nikolay Spiridonovich Robbek* Nikolay Vasilievich Vinokurov Federal State-Funded Educational Institution of Higher Education "Yakut State Agricultural Academy", Yakutsk, Russian Federation. Alexandra Innokentievna Pavlova Federal State-Funded Educational Institution of Higher Education "Yakut State Agricultural Academy", Yakutsk, Russian Federation. Lena Prokopyevna Koryakina Federal State-Funded Educational Institution of Higher Education "Yakut State Agricultural Academy", Yakutsk, Russian Federation. Natalya Nikolaevna Grigoryeva Federal State-Funded Educational Institution of Higher Education "Yakut State Agricultural Academy", Yakutsk, Russian Federation. For the indigenous minorities of the far North, venison is the main environmentally safe food product. The study was aimed at determining the chemical composition, the weight, and the content of macro- and microelements in the subproducts of domesticated reindeer in Yakutia for further production of composite and functional food products, following the current ecological situation in the region. The subproducts of domesticated reindeer of the Chukchi and Evenki breeds are distinguished by the weight of the liver, the kidneys, the stomach, and the intestines; with that, the weight of subproducts in males was higher than in females. The comparatively high relative weight of internal organs in the reindeer of the Chukchi breed is associated with the better development of viability in the adverse conditions of the tundra habitat. Differences are observed within the content of nutrients in the subproducts in various age groups (females, males, and calves); this difference in the content of protein and fat is associated with the age-related feeding habits and the accumulation of nutrients in the organism of the deer. For instance, calves in this period feed on mother's milk; besides, the growing organism of a calf accumulates additional nutrients. The heart and the spleen of calves contain more macroelements (Ca, P, Mg, K, Na, and Cl) than those of male and female deer, while the kidneys, on the contrary, contain less macroelements. The content of microelements (Se, Fe, Mn, Cu, Zn, and F) in the heart and the spleen of calves is higher, and in the liver and the kidneys, it is lower. 11 30 2019 11565 11569 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D4617.118419 https://www.ijrte.org/portfolio-item/D4617118419/ Department of ECM, K L Deemed to be University, Vaddeswaram, India. Mr. Sai Kumar Garre* Ms. M Leena Reddy Department of ECM, K L Deemed to be University, Vaddeswaram, India. Dr. N V K Ramesh Department of ECM, K L Deemed to be University, Vaddeswaram, India. Now-a-days, fire accidents are occurring very frequently in public transport system which causes the loss of most valuable human lives and the government property. There are so many methods to avoid fire accidents and to lessen the ruthlessness of loss in case of fire accidents in public transport system. It can be done climatic conditions also [6]. So, it can further reduce the loss caused by fire accidents in trains if it is able to inform the respective establishments directly after the chances and open the emergency door automatically. In this it is proposed and design for the problem that in case sudden fire has been evacuated and when it reaches to Roof top where we place smoke and temperature sensor. And sends the location and information of issue to higher authorities and fire fighters through GSM module and GPS. When the temperature reaches maximum then automatic fire extinguisher and water sprinklers on ceiling got activated and perform their task also works according to it and in some cases if the water in the sprinkler tank getting less known by the ultrasonic sensor then the water from regular usage tanks get connected and blow off the fire. And saves property and lives. 11 30 2019 10346 10388 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D4705.118419 https://www.ijrte.org/portfolio-item/D4705118419/ Electronics and communication, Koneru Lakshmaiah Education Foundation, Khammam, India. G. Surya kranth* Dr.R.S. Ernest Ravindran Electronics and communication, Koneru Lakshmaiah Education Foundation, Vijayawada, India. Quantum-dot cell automata is one of the upcoming new advances at the nanoscale that can be a reasonable substitution for CMOS innovation. The circuits built in QCA technology have attractive features like low power utilization, and low size. These features can be progressively particular in memory structures. In this paper, the new design another structure for substance addressable memory cell in QCA. For this reason, initial, an extraordinary gate is presented for mask task in QCA and afterward this gate is utilized to enhance the execution of CAM. These structures are assessed with QCA Designer test system. 11 30 2019 10559 10562 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D4706.118419 https://www.ijrte.org/portfolio-item/D4706118419/ Electronics and Computer Science Engineering, Koneru lakshmaiah Education Foundation, Vaddeswaram, Guntur, India. B. Aruna* Dr.G.Vijay Kumar* Electronics and Computer Science Engineering, Koneru lakshmaiah Education Foundation, Vaddeswaram, Guntur, India. P.S.G.Aruna Sri* Electronics and Computer Science Engineering, Koneru lakshmaiah Education Foundation, Vaddeswaram, Guntur, India. Ravi Kumar Tenali* Electronics and Computer Science Engineering, Koneru lakshmaiah Education Foundation, Vaddeswaram, Guntur, India. This paper is growing with the technology of InternetOfThings(IoT) mostly in healthcare. In this paper attention is given to the vital signs like body temperature, pulse rate and motion detector. These vital signs are formed by detecting the patient’s condition with these vital sensors. The security provided here is the data formed which is collected and stored in the cloud. This modern healthcare environment is convenient to both physicians and patients as it is applied in various medical fields. In this technology the patient can be monitored frequently. Considering security is to keep the patients detailed information privacy. 11 30 2019 11387 11391 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D4708.118419 https://www.ijrte.org/portfolio-item/D4708118419/ Mathematics Department, GITAM (Deemed to be University), Bangalore, India. Dr. Karuna Prasad* Prof. J. Prathap Kumar Mathematics Department, Gulbarga University, Kalaburagi, India. Prof. J. C. Umavathi Mathematics Department, Gulbarga University, Kalaburagi, India. Dr. B. Devika Mathematics Department, GITAM (Deemed to be University), Bangalore, India. Dr. C. S. K. Raj Mathematics Department, GITAM (Deemed to be University), Bangalore, India. Simulations are shown for steady nanofluid saturated with porous medium in a vertical channel divided into two way by placing a thin baffle. Tiwari and Das model applied for continuity, momentum and energy equations are written using to define the nanofluid and non-Darcy model used for porous medium. The nonlinear equations are solved analytically using regular perturbation method and by semi analytical method using differential transform method. The validity of the solutions obtained by perturbation method and differential transform method are compared and found that they agree very well for small values of perturbation parameters. The numerical values of the velocity and temperature are shown graphically at different baffle positions for all the pertinent parameters. The Nusselt number for both regular and nanofluids are evaluated and tabulated. 11 30 2019 10349 10360 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D4852.118419 https://www.ijrte.org/portfolio-item/D4852118419/ Assistant Professor (Sr. Gr.), Amritadarshanam - International Centre for Spiritual Studies, Amrita Vishwa Vidyapeetham, Amrita School of Arts and Sciences, Amritapuri Preetha Menon* TK Anurekha Assistant Professor, Dept. of Psychology, PSG College of Arts &Science, Coimbatore, Tamil Nadu The present study attempted to assess the psychological types of women engineering students using MBTI (Myers Briggs Type Indicator) and to examine the effects of birth order on personality type. The participants (N=338) on the average scored high on extraversion, sensing, thinking and judging (ESTJ). The most identified personality types were Extraversion-Sensing-Thinking-Judging (ESTJ) and Extraversion-Sensing-Thinking-Perceiving (ESTP). The least common personality types were Introversion-Intuitive-Feeling-Perceiving (INFP), and Introversion-Intuitive-Thinking-Judging (INTJ). Cross tabulation examined relationships between personality type and birth order. Results of the study indicated that birth order has bare minimal statistically insignificant effect on the personality type. The present study is anticipated to afford the higher education sector with pertinent information for framing the university admission policies with regards to the career path. Longitudinal studies, to determine an individual’s birth order effects on personality and other variables such as self-worth and contentment with life are recommended. Validation of the results of the study is possible with future research on a larger population of women pursuing varied disciplines. 11 30 2019 10932 10938 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D4881.118419 https://www.ijrte.org/portfolio-item/D4881118419/ Assistant Professor-Department of Biomedical Engineering, Sathyabama Institute of Science & Technology, Chennai, India. Sudhakar. T* Jessie Christilda.J Student -Department of Biomedical Engineering, Sathyabama Institute of Science & Technology, Chennai, India. Sindhuja Mary.S Student -Department of Biomedical Engineering, Sathyabama Institute of Science & Technology, Chennai, India. Sindu Divakaran Assistant Professor Department of Biomedical Engineering, Sathyabama Institute of Science & Technology , Chennai, India. Hemalatha. R.J Head & Assistant Professor -Department of Biomedical Engineering,Vels Institute of Science, Technology & Advanced Studies, Chennai, India. One of the modern emerging trends in automation is robotics. Robots have been increasingly used in various industrial and non-industrial environment. Most of the robots are used for assembling and manufacturing units in automobile industries. However, in recent times robots have been replacing humans in hazardous environments in order to protect humans from exposure to dangerous elements. Thus, acting as a helping hand for humans in unviable environments. Our project is to build such a helper robot which can be used by humans to direct the robot to do his/her work in such places. For example, it can be used in pharmaceutical and biochemical industries for experiments involving volatile chemical substances. Another essential use for this type of robot is in the surveillance and maintenance work in nuclear reactors and mining industries. Thus, the robot protects human, increases manpower and work efficiency. 11 30 2019 11329 11332 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D5403.118419 https://www.ijrte.org/portfolio-item/D5403118419/ Department of Biomedical Engineering, Vels Institute of science technology and Advanced Studies, Chennai A. Keerthana* M. Karthiga Department of Biomedical Engineering, Agni College of Engineering and Technology,Chennai,India According to WHO, India had 69.2 million people living with diabetes in 2015 and is expected to rise by more than a 5th from 406 million in 2018 to 511 million in 2030. Diabetes currently affects over 425 million people worldwide. Chronic Blood sugar and diabetes may cause severe nerve damage known as Peripheral neuropathy. Approximately 15% of patients with diabetes are affected with diabetes. Various studies have indicated that peripheral vascular disease is related to tissue hypoxia and clinical device monitors uses pulse oximetry principle to measure changes of light absorption in oxygenated and deoxygenated blood. In this project we intend to develop a portable device to assess oxygen tension near foot ulcerate area using NIRS (Near infrared spectroscopy) method in diabetic subjects. The results can be visualized in the LCD and Visual display. The main purpose of oxygen tension estimation is to have a better understanding in wound healing potential, assessment of success in revascularization, and predictability of amputation level and the study the need of hyperbaric oxygen in therapy. 11 30 2019 11333 11335 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D5406.118419 https://www.ijrte.org/portfolio-item/D5406118419/ Biomedical Engineering department, Vels Institute of Science,technology and Advanced Studies, Pallavaram ,Chennai,India. A. Keerthaan* G. Srividhya Biomedical Engineering department, Vels Institute of Science,technology and Advanced Studies, Pallavaram ,Chennai,India. R.J. Hemalatha Biomedical Engineering department, Vels Institute of Science,technology and Advanced Studies, Pallavaram ,Chennai,India. Liver tumor is one of the most severe types of cancerous diseases which is responsible for the death of many patients. CT Liver tumor images have more noises which is difficult to diagnose the level of the tumor. It is a challenging task to automatically identify the tumor from CT images because of several anatomical changes in different patients. The tumor is difficult to find because of the presence of objects with same intensity level. In this proposed system, fully automated machine learning is used to detect the liver tumor from CT image. Region growing technique is used to segment the region of interest. The textural feature are extracted from Gray level co-occurrence matrix (GLCM) of the segmented image. Extracted textural features are given as input to the designed SVM classifier system. Performance analysis of SVM classification of CT liver tumor image is studied. This will be useful for physician in better automatic diagnosis of liver tumor from CT images. 11 30 2019 11336 11338 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D5407.118419 https://www.ijrte.org/portfolio-item/D5407118419/