-4d90550d17f4602e0891399 20220627070905886 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 Research Scholar, Anna University, Department of ECE, A.V.C College of Engineering, Mayiladuthurai. S. Bharathiraja* Dr.S. Selvamuthukumaran Professor, Department of Computer Application, A.V.C. College of Engineering, Mayiladuthurai, Tamilnadu, India. smksm Dr.V. Balaji Associate Professor, KCG College of Engineering and Technology, Chennai. For express employments of the mobile ad hoc networks (MANETs) sent during opponent conditions, unidentified correspondences through data overwhelm with expectedness is goliath. A fundamental thing is to give unidentifiability and unlinkability toward the mobile center obsessions as well as their techniques. The present protocol be weak against security dangers similar to if all else fails government administrator strikes, fake routing packs ambushes otherwise denial-of-service (DoS) broad-tossing assault, transfer examination strikes as well as insider strikes. During this document we suggest another routing protocol which is an improvement of the present protocol Authenticated Anonymous Secure Routing (AASR) protocol. AASR secures the strikes and outfits adequate nonattendance of clearness with the help of get-together signature and key mixed onion routing. In this work a bound together trust the board plan has been hardened with AASR protocol in order to upgrade the routing and data security in MANETs. Beguilement consequences contain shown the adequacy of the planned protocol through enhanced execution to the degree throughput, bunch got degree, pack adversity degree and surrender when ascended out of the present ones. 11 30 2019 9667 9674 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D9960.118419 https://www.ijrte.org/portfolio-item/D9960118419/ Assistant Professor, Sethu institute of Technology, Kariapatti, Virudhunagar. M. Manimaran* S. Nagalakshmi Professor, Department of Electrical and Electronics Engineering, Sethu institute of Technology, Kariapatti, Virudhunagar. V.S. Chitra Assistant Professor, Department of Electrical and Electronics Engineering, Sethu institute of Technology, Kariapatti, Virudhunagar. Reactive distillation column is one of the key elements in the process of Petroleum and chemical industries, which is having nonlinear, multivariable and non-stationary characteristics. The conventional controller like PID provides fruitless control action for nonlinear process. This paper deals the design of the various Model predictive controller algorithms to control composition and Temperature of the Reactive distillation column in biodiesel production. Here the Recursive Least square technique is used to estimate the parameters and build the exact model of the Process. The MATLAB policy is used and accomplished of the GPC, SMPC and PID. 11 30 2019 9675 9678 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D9964.118419 https://www.ijrte.org/portfolio-item/D9964118419/ Department Of Ece,Pbrvits, Kavali, India, V Phani Bhushan* Dr.K. Murali Department Of Ece, Nec, Nellore, India Dr.K.S.Sagar Reddy Department Of Ece, Nec, Nellore, India. The main aim of segmentation is to identify the Region of Interest for image analysis. The segregation of an image into meaningful structures is often an important phase in image analysis, object representation, visualization and also in various other image processing tasks. Image segmentation is mostly useful in applications like detection where it is difficult to process whole image at a time. In this paper Region based image segmentation is used to identify the delaminations in Thermographic image of Infrared Non-Destructive Testing. There are two basic techniques in Region based segmentation viz. Region growing method, splitting and merging method. New method based Split and Merge segmentation technique is employed to identify the defective regions in thermogram. Results obtained after segmentation as compared with state of art segmentation methods. 11 30 2019 9574 9578 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D9968.118419 https://www.ijrte.org/portfolio-item/D9968118419/ Civil Engineering Department, College of Engimeering Guindy, Anna University, Chennai, India. Menaka K.* Premalatha K. Civil Engineering Department, College of Engimeering Guindy, Anna University, Chennai, India. Subsurface conditions play a major role in the damage potential of earthquakes. Local geological conditions generate significant amplification of the ground motion. The simple way to characterize the site condition is by estimating the shear wave velocity. The main objective of this paper is to evaluate the influence of silt content, density and confining pressure in the shear wave velocity. Soil samples were collected from different locations of College of Engineering, Guindy campus for conducting the bender element (BE) test. The shear wave velocity(Vs) determined from bender element test for the respective field density were compared with shear wave velocity obtained from Multichannel Analysis of Surface Wave (MASW) test. For understanding the influence of above mentioned parameters the bender element tests were carried out. The important conclusions arrived through the studies are increase in density and confining pressure increases the shear wave velocity but increase in silt content decreases the shear wave velocity. The maximum variation in the shear wave velocity determined from laboratory and field are in the range of 11.62% to 18.5%. 11 30 2019 9679 9684 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D9970.118419 https://www.ijrte.org/portfolio-item/D9970118419/ economics and Management, Vladivostok State University of Economics and Service, Vladivostok, Russia. Ekaterina G. Shumik* Ksenia V. Smitskih economics and Management, Vladivostok State University of Economics and Service, Vladivostok, Russia The article deals with the assessment of the dynamic development of entrepreneurship. Based on the conducted analysis of scientific works, it is concluded that currently there are no tools that allow for a comprehensive and systematic assessment. In this regard, the purpose of the present research is to develop a methodology for assessing the dynamic development of entrepreneurship which would include methodological and institutional support, assessment areas, and the algorithm of its implementation, as well as to develop recommendations based on the obtained results, taking into account regional specifics. Currently, the Far Eastern Federal District is becoming an area of implementation of many federal investment projects. Special attention is paid by the authorities to the development of cross-border areas. In this article, the authors have tested the proposed method with respect to SMEs registered in the Far Eastern cross-border regions. It was revealed that the Primorye and Khabarovsk territories were the leading regions. Low results were obtained in the Chukotka Autonomous District and the Jewish Autonomous Region. 11 30 2019 9579 9586 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D9971.118419 https://www.ijrte.org/portfolio-item/D9971118419/ Academician and teaching faculty at Lovely Professional University, Phagwara Lokesh Jasrai* Shabnam Narula Associate Professor with Mittal School of Business, Lovely Professional University, India Now a day, the internet has become a suitable platform for the trade of products and services. The growth of internet users was 481 million in 2017 and will reach approx. 829 million by 2021. Emergence of online shopping make India like hot bed which inviting the retailers to sell their products online. The boom sub category of online shopping is apparel industry in India. It also reaches to 24% of total online users. Rapid growth of online shopping has led to inspire e-loyalty among online shoppers. In Today’s era young generation has become very active in shopping apparel online. Online fashion market is estimated to reach $12bn to $14bn by 2020. This study measured the four constructs including e service quality dimensions i.e. Privacy, Efficiency, Fulfilment, System Availability and e-trust, e-satisfaction as e-loyalty antecedents. Structural Equation Modelling technique used to establish the relationship between the construct taken for the study. Findings revealed that there are four dimensions of e service quality that have inconsistent influence on e-satisfaction and e-trust. Efficiency is not significantly associated with the e-trust and e-loyalty. Fulfilment is observed as most grounded indicator for e-satisfaction and e-trust as well. Privacy is also the important driver to e-trust that leads to e-loyalty. 11 30 2019 8987 8993 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D9973.118419 https://www.ijrte.org/portfolio-item/D9973118419/ Federal State Unitary Enterprise Central Scientific Research Automobile and Automotive Institute NAMI, Moscow, Russia Andrey Kozlov Alexey Terenchenko Federal State Unitary Enterprise Central Scientific Research Automobile and Automotive Institute NAMI, Moscow, Russia Nikita Zuev Federal State Unitary Enterprise Central Scientific Research Automobile and Automotive Institute NAMI, Moscow, Russia Andrei Zelentsov Bauman Moscow State Technical University, Moscow, Russia The paper describes a method for evaluating knocking onset with computational fluid dynamics (CFD) numerical model of the combustion process of spark ignited (SI) gas engine and methods for assessing the probability of knocking combustion based on this model. The probability of knocking combustion, which characterizes the boundary condition between normal combustion and knocking, is determined (8%). An optimization study of the influence of adjustment parameters on the probability of knocking based on a three-dimensional numerical model is carried out. The developed and tested technique allows one to monitor the tendency of the influence of various adjustment parameters on the probability of knocking in a SI gas engine. 11 30 2019 9587 9593 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D9974.118419 https://www.ijrte.org/portfolio-item/D9974118419/ Electronics and Communication Engineering,Manipur Institute of Technology, Imphal, India. ThNanao* Romesh Laishram Electronics and Communication Engineering, Manipur Institute of Technology, Imphal, India. Natural disasters have mercilessly devastated our lives in so many different terms. The impact of Earthquake and landslides are very severe because of their unpredictability. To alleviate the problem early warning system plays an important role. In this paper, we proposed an integrated earthquake and landslide monitoring system overthewireless sensor network. The Wireless Sensor Network is programmed to acquire the data, which is monitored and controlled centrally or independently and can be distributed widely in a random or planned deployment. By detecting suspicious indications such as tremor or landslides through sensor nodes, the system provides information to the monitoring and warning station. The processing unit is composed of arduino and Sensors such as 4.5 Flex Sensor, Capacitive Soil Moisture Sensor and a3-Dimensional Accelerometer are used in the proposed system to monitor landmass displacement/movement, the moisture level of the soil and the vibrations for earthquakes respectively. An RF module, XBee S2C is used which provides wireless communication with a range of about a 1 km line of sight and 60 meters indoor. The real-time data can be accessed via the internet. It will be powered from a 12V 20W solar panel with rechargeable Li-Ion Battery and fitted with necessary protection and charging circuit boards. The proposed system can be used in earthquake and landslide prone area to avoid damages to life and property in the area of operation by providing crucial information and further warning for any disastrous development. The proposed system is implemented through experiments and proved to be effective. 11 30 2019 9594 9599 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D9976.118419 https://www.ijrte.org/portfolio-item/D9976118419/ Koneru Lakshmaiah Education Foundation, Guntur, India. D. Komali* A. Vamsi Koneru Lakshmaiah Education Foundation, Guntur ,India. R.Ganga Bhavani Koneru Lakshmaiah Education Foundation, Guntur, India.. Ch. Tejsai Koneru Lakshmaiah Education Foundation ,Guntur ,India. Web based life are one of the slanting medias through which the clients speak with one another utilizing messages. Messages are sent from the source to the goal without breaking a sweat. Yet, what is the assurance that the message isn't meddled by the gate crasher in the middle of the source and the goal? To fathom this issue, the protected content exchange utilizing Diffie Hellman Key Exchange dependent on cloud application is presented. Encryption is one of the procedures for giving security to the information that has been sent by the sender. There will be various calculations utilized so as to accomplish the encryption of the information. This application will enable the client to send the plain content to the goal. Prior to sending the message, the client needs to choose the calculation like AES, DES and so on. At that point the message will be scrambled utilizing such calculations. The key will be sent to the goal so as to decode the message. This will be one of the intriguing applications that one can chip away at and execute continuously world without hardly lifting a finger. Individuals can depend on this application without any difficulty utilizing this application. The UI will be straightforward and straightforward even by the basic man. The data that is private may be taken through such assaults. 11 30 2019 9600 9605 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D9978.118419 https://www.ijrte.org/portfolio-item/D9978118419/ Assistant Professor, Department ofComputer Science and Engineering, KoneruLakshmaiah Educational Foundation, Guntur, A.P, India. Prasuna Kotturu* SyamPrajwal Kammula Student, Department of Computer Science and Engineering, KoneruLakshmaiah Educational Foundation, Guntur, A.P, India. Sai Surya Bunga Student, Department of Computer Science and Engineering, KoneruLakshmaiah Educational Foundation, Guntur, A.P, India. Praneeth Sai Atluri Student, Department of Computer Science and Engineering, KoneruLakshmaiah Educational Foundation, Guntur, A.P, India. The current world is running around the word “Privacy”. Every individual’s aim is to secure their data and transactions so that no one can access them without proper authentication. In this digital era, all the data stored in the internet protected by a password. The general opinion is that a password can protect the data from being acquired by an unauthorized user. The issue is about what happens subsequently with an authorized login. Once we login into our account, all our actions, state of browser and timestamps are recorded in a simple text file known as “Cookie”. In this paper, we proposed a mechanism which is easy to implement and robust in providing authentication to the session cookie. This obstructs an unauthorized user from getting access to our private data. Our mechanism provides authentication by using the concept of hashing combined with a unique identifier. 11 30 2019 9685 9690 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D9979.118419 https://www.ijrte.org/portfolio-item/D9979118419/ currently working , CEO, Quaxar Technologies Private Limited. Sourav Mukherjee* IoT(internet of things) are smart electronic devices connected through the internet. As time passes there are more IoT devices around us and the number can climb to an astronomical amount of 41.6 billion by 2025 as per reports [1]. The paper deals in modelling of an innovative IoT based system to cope up with urban air pollution. The system aims to act as an innovative ‘Quality Indicator and Preservation System for Air’(QIPSA). ‘QIPSA’ is a system with both hardware and software components. The hardware part consists of a large number of IoT electronic devices embedded near the roadside lamp posts to collect data in order to calculate local AQI. The software part involves in showing real-time pollutant & AQI data and involving in decision making to stabilise AQI. It can be used by regulating authorities to manage traffic efficiently such that the AQI(Air Quality Index) gets as low as possible. Civilians can use the system to decide their preferred route for daily works considering the AQI . The purpose of the system is to create a cost-effective hardware sensor network which provides real-time data and can be observed through a mobile application. 11 30 2019 12682 12684 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D9980.118419 https://www.ijrte.org/portfolio-item/D9980118419/ Information Technology,Easwari Engineering College,Chennai, A.K. Mariappan* R.Ramana Surriyan Information Technology,Easwari Engineering College,Chennai, E.S. Shobana Information Technology, Easwari Engineering College, It is always important that the student should choose the right course. The decision of taking the right course is very important as the student’s future depends on the course they opt to study. Most of the students are not much aware of the courses that are available in their own field of study. Selecting wrong courses might be due to the mismatch between the student’s aptitude, training and mental ability. Thus, the idea is to develop a system for helping the students to choose a course which would be best suited for him/her based on features like previous student selection, interest, languages known etc. Existing research has explored recommender system using content-based filtering but it can only do limited content analysis and the recommendation will not be precise at the end. An attempt is made to improve the performance of this system using Collaborative based filtering techniques which will recommend a ranked list of courses. Under Collaborative filtering techniques, user based collaborative filtering and item based collaborative filtering is used. Sample student datasets from Kaggle, has been used to test the performance of our system. 11 30 2019 9691 9695 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D9981.118419 https://www.ijrte.org/portfolio-item/D9981118419/ Department of Electronics & Electronics Engineering, M.Kumarasamy College of Engineering, Karur, India. S.Dinesh kumar AL. Chockalingam Department of Electronics & Electronics Engineering, M.Kumarasamy College of Engineering, Karur, India. This paper represents the design and analysis of the Brushless Direct current motor. The usage of brushless motor is increasing day by day in that the design aspects are more important and the customer satisfaction is important. Based upon the rating the needs brushless DC motor is designed. The design has been done with the controllers and the real time applications such as EV, the controllers had been used to get the proper design. The results are analyzed using the MATLAB simulink software. 11 30 2019 8994 8997 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D9982.118419 https://www.ijrte.org/portfolio-item/D9982118419/ Associate Professor, Department of Information Technology, Easwari Engineering College, Ramapuram, Chennai Dr.M. Mohana* Dr. V. Vani Associate Professor, Department of Information Technology, Easwari Engineering College, Ramapuram, Chennai Shri Dikshanya K.N Department of Information Technology, Easwari Engineering College, Ramapuram, Chennai Shruthi. B Department of Information Technology, Easwari Engineering College, Ramapuram, Chennai Vinothini V Department of Information Technology, Easwari Engineering College, Ramapuram, Chennai Malaria is a deadly disease brought about by Plasmodium parasites which affects the general population through the bites of female mosquitoes, called "malaria vectors." There are about five parasites species that cause malaria in human body, and two of the species namely P. falciparum , P.vivax pose the greatest threat. The most prominent technique to detect malaria is by taking blood smear samples to check if the RBC is affected by parasite under the microscope by qualified experts. It is a complex technique and the diagnosis depends on the experience and inside of the person who performs the examination. Malaria blood smear have been diagnosed earlier using image processing methods based on machine learning. This was not effective so far. Convolutional Neural Network (CNN) is use in this system which helps in classifying the cells present in the blood smear images as infected or uninfected. 11 30 2019 12461 12464 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D9983.118419 https://www.ijrte.org/portfolio-item/D9983118419/ Assistant professor, Department of CSE, Koneru Lakshmaiah College of Engineering, KLEF, Guntur, Andhra Pradesh, India. Praveen Tumuluru* Radha Manohar Jonnalagadda Student, Department of CSE, Bachelor of Technology, Koneru Lakshmiah College of Engineering, KLEF, Andhra Pradesh, India. Divya Sai Sree Konatham Student, Department of CSE, Bachelor of Technology, Koneru Lakshmiah College of Engineering, KLEF, Andhra Pradesh, India. Vineetha Samineni Student, Department of CSE, Bachelor of Technology, Koneru Lakshmiah College of Engineering, KLEF, Andhra Pradesh, India. Burra Lakshmi Ramani Asst professor, Computer Science and Engineering Dept., PVP Siddhartha Institute of Technology, Kanuru, Vijayawada, India Phishing Is An Act Of Attempting To Acquire The Users’ Data Such As Usernames, Passwords And Credit Card Details As It Was The Trustworthy Entity In An Electronic Communication. Because Of The Quick Development Of The Internet, Clients Change Their Inclination From Customary Shopping To The Electronic Business. Rather Than Bank Or Shop Robbery, These Days Culprit Attempt To Discover Their Victims In The Internet With Some Particular Tricks. By Utilizing The Mysterious Structure Of The Internet, The Culprits Set Out New Strategies, For Example, Phishing, To Betray Victims With The Utilization Of Fake Webpages To Gather Their Delicate Data, For Example, Account Ids, Usernames, Passwords, And So On. Understanding Whether A Website Page Is Genuine Or Phishing Is A Very Testing Issue, Because Of Its Semantics-Based Assault Structure, Which Predominantly Misuses The Pc Users’ Susceptibilities. Despite The Fact That Most Of The Software Companies Introduce Many Anti-Phishing Products, Which Use Blacklist Generator, Heuristic Approach And Ml-Based Methodologies, These Products Can’t Stop All Of The Phishing Attacks. The Main Objective Of This Paper Is To Find An Efficient Approach For Distinguishing The Phishing Sites Which Depends On The Extreme Learning Model. Specifically, The Proposed Method Computes Some Features As Input And Checks Whether The Given Url Is Phishing Url Or The Legitimate Url. The Proposed Extreme Learning Model Attains 97% Accuracy Rate For Detection Of Phishing Urls And If The Hidden Layers Increases The Accuracy Is Also Discussed. 11 30 2019 9606 9612 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D9984.118419 https://www.ijrte.org/portfolio-item/D9984118419/ Federal State Budgetary Educational Institution of Higher Education «Krasnoyarsk State Agrarian University», Krasnoyarsk, Russia. Ol'ga Anatol'evna Vlasenko* Natal'ya Leonidovna Kurachenko Federal State Budgetary Educational Institution of Higher Education «Krasnoyarsk State Agrarian University», Krasnoyarsk, Russia. Ol'ga Alekseevna Ul'yanova Federal State Budgetary Educational Institution of Higher Education «Krasnoyarsk State Agrarian University», Krasnoyarsk, Russia. Vitalij Viktorovich Kazanov Federal State Budgetary Educational Institution of Higher Education «Krasnoyarsk State Agrarian University», Krasnoyarsk, Russia. In two long-arable areas that were intended for sowing rapeseed and false flax for oilseeds at LLC «Experimental Industrial Farm Solyanskoye» in the Kansk forest-steppe, the structure and humus substances reserves in agrochernozems were studied. The soil cover of key plot No. 1 with the wide-steeply-sloping terrain with weakly pronounced microrelief, which was intended for rape, was dominated by typical medium and strong clayey-illuvial agrochernozems. Key plot No. 2 intended for false flax was located on a smooth hillside of a wide ridge and was characterized by the complexity of the soil cover represented by a combination of clay-illuvial typical agrochernozems of various kinds, thick podzolized clay-illuvial agrochernozems, and thin cryogenic micellar agrochernozems. It has been shown that agrochernozems featured high content of humus in the layer both 0 – 20 and 0 – 40 cm thick. The content of humus carbon (Ctot) and that of carbon of the water-soluble organic matter (CH2O) had little spatial variability (CV = 1.3 – 11.7 %), unlike the carbon content of the alkali-soluble organic matter (C 0.1 n. NaOH), which in the studied agrochernozems had a very high degree of spatial variability (Cv = 18.7 – 66.1 %). Heterogeneity of the soil cover of the slope part of the plot was the factor that determined the average reduction in the content of the reserves of all fractions of humic substances, except for the water-soluble humus carbon. It has been found that the share of the reserves of stable humus carbon (Cstab) was 89 – 95 % of the total carbon reserves of humus, thus the share of CH2O and C0.1 n. NaOH decreased with increasing the complexity of the soil cover from 11 to 5 % of Ctotal. Fields with a pronounced meso- and microrelief and thin kinds of agrochernozems are recommended for sowing false flax, which is a crop that is less demanding to the soil conditions than rapeseed. 11 30 2019 9613 9616 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D9986.118419 https://www.ijrte.org/portfolio-item/D9986118419/ National Research University ‘MPEI’ (NRU ‘MPEI’), Moscow,Russia. A.A. Vikhlyantsev* A.V. Naumov National Research University ‘MPEI’ (NRU ‘MPEI’), Moscow,Russia A.V. Volkov National Research University ‘MPEI’ (NRU ‘MPEI’), Moscow,Russia. A.A. Druzhinin National Research University ‘MPEI’ (NRU ‘MPEI’), Moscow,Russia. A.K. Lyamasov National Research University ‘MPEI’ (NRU ‘MPEI’), Moscow,Russia. S.N. Pankratov National Research University ‘MPEI’ (NRU ‘MPEI’), Moscow,Russia. B.M. Orahelashvily National Research University ‘MPEI’ (NRU ‘MPEI’), Moscow,Russia. This article considers the application of engineering optimization methods as a way to improve the energy efficiency of centrifugal pumps operated in thermal power plants taking into account the pump load diagram. The authors present an algorithm of engineering optimization of the wetted part of impeller being an individual working body of a centrifugal pump, as well as the results of approbation of the proposed approach for the centrifugal pump KM 65-50-160 designed in two optimized versions taking into account various options of the pump load diagram. It is revealed that the application of engineering optimization methods allows achieving higher energy efficiency indicators even in a significantly simplified formulation of the problem under consideration. According to the calculation results, when the pump operation condition is met, the KM 65-50-160 pump with an optimized wetted part of the impeller designed in two versions has higher average integral efficiency in comparison with its counterpart designed according to classical methods, namely, 52.24% vs. 49.18%, and 57.9% vs. 57.02%, respectively. 11 30 2019 9617 9625 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D9987.118419 https://www.ijrte.org/portfolio-item/D9987118419/ Interregional Academy of Personnel Management, Kiev, Ukraine. Ivan S. Bakhov* Vadym S. Ryzhykov Taras Shevchenko National University, Kiev, Ukraine. Alla V. Kozyr National M. Drahomanov Pedagogical University, Kiev, Ukraine. Dmytro G. Yunyk P. I. Tchaikovsky National Music Academy of Ukraine, Kiev, Ukraine. Tetiana Yunyk Kyiv National University of Culture and Arts, Ukraine. Purpose: Purpose: The aim of the study is to investigate the development of leadership and military management as the basis of effective management of the military organization. Methodology: The methodological basis of the study was the principles of historicism, objectivity and reliability. Main Findings: The authors have suggested three groups of elements of the leader's image in relation to the political leader are outlined, namely, personal characteristics – physical, psycho-physiological features, his character, type of personality, individual style of decision making; social characteristics – the status of a leader associated with the official position, as well as related to the origin, wealth. Applications: The research findings can be used by lecturers and graduate students of universities, military educational institutions and business management institutions. Novelty/Originality: In the paper for the first time it is singled out the main psychological and pedagogical properties of the military commander and his functions in modern military management. 11 30 2019 9626 9630 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D9990.118419 https://www.ijrte.org/portfolio-item/D9990118419/ FSBEI HE Novosibirsk State Agrarian University, Novosibirsk, Russia. G.I. Ragimov* K.V. Zhuchaev FSBEI HE Novosibirsk State Agrarian University, Novosibirsk, Russia. M.L. Kochneva FSBEI HE Novosibirsk State Agrarian University, Novosibirsk, Russia. V.V. Gart FSBEI HE Novosibirsk State Agrarian University, Novosibirsk, Russia. B.O. Inerbaev Siberian Federal Scientific Centre of Agro-BioTechnologies of the Russian Academy of Sciences, Krasnoobsk, Novosibirsk Region, Russia. G.M. Goncharenko Siberian Federal Scientific Centre of Agro-BioTechnologies of the Russian Academy of Sciences, Krasnoobsk, Novosibirsk Region, Russia. V.S. Deeva Siberian Federal Scientific Centre of Agro-BioTechnologies of the Russian Academy of Sciences, Krasnoobsk, Novosibirsk Region, Russia. This study was aimed at studying the biological characteristics of the calves of the Hereford and Simmental breeds, and crosses of these breeds in Siberia. The article discusses the peculiarities of metabolism and utilization of nutrients, growth rate, meat productivity and quality, feed conversion in groups of calves up to 15.5 months of age due to the breed identity in the keeping conditions in light facilities and cold climate. Similarity has been noted in the parameters of gas-and-energy metabolism in Hereford and crossbred calves, including their seasonal dynamics. During the experimental period, a seasonal downward trend was noted in the heart rate of Hereford calves by 11.4 %, and respiration rate — by 33.8 %. In the Simmental peers, these figures decreased by 12 and 37.2 %, respectively, in hybrids — by 6.1 and 29 %. The seasonal decrease in the body temperature in Hereford and crossbred animals by 2.4 – 2.5 %, in Simmentals — by 1.3 %, and increased heat production by Hereford animals and their crosses — by 20.9 and 20.1 % (P<0.01), compared to the Simmental peers, were noted. In terms of the content of hemoglobin, Hereford calves (116.5 ± 3.6 g/l) and Hereford × Simmental hybrids (114.0 ± 5.1 g/l) tended to be superior to Simmental calves (103.5 ± 5.4 g/l). No significant difference in the erythrocytes count in the blood of calves was found between the groups. In all ages, Simmental calves were inferior to their Hereford and crossbred peers in terms of the content of total protein and albumin in the blood serum. By the content of globulins in the blood serum, no differences were found between the groups. The coefficients of nutrients digestibility due to balanced feeding was relatively high in all groups. Hereford × Simmental hybrids were superior to their Simmental counterparts by the organic matter digestibility by 3.0 % (P<0.01). The most significant difference in the live weight was observed between Simmental and crossbred calves (P<0.01). The average daily gain of the hybrids over the entire study period was greater by 25.6 and 15.2 % than that of purebred Simmental and Hereford calves. Accordingly, Hereford × Simmental calves had an advantage over Herefords in terms of the slaughtering weight by 5.4 %, and over Simmentals — by 22.1 %. The energy value of the meat of purebred Herefords and crossbred calves was higher by 8.4 % than in purebred Simmentals. The conclusion has been made about the prospects of using Herefords and their crosses with Simmentals for the sustainable development of beef cattle breeding in the conditions of Siberia. 11 30 2019 9631 9636 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D9992.118419 https://www.ijrte.org/portfolio-item/D9992118419/ Addisu holds Master’s Degree in Business Administration (MBA). Currently he is attending his PHD in Punjabi university, Belay Mengistie* Dr. Amanpreet Singh Assistant Professor in Punjabi university, School of Management Studies since March Women economic empowerment is one of the strategies aimed at enabling women in decision making, increment in income and asset ownership. The purpose of the study was to analyze the impact of micro finance through Amhara credit and saving institution on women economic empowerment. Qualitative and quantitative research approaches were used to obtain a reliable data. Data were derived from a questionnaire of a sample of 346 women clients of Amhara Credit and Saving Institution. In addition, six focus group discussions were conducted involving 48 women while in depth interviews were carried out with 6 micro finance leaders, and experts. Multiple Regressions, Independent t-test, Analysis of variance were employed for data analysis. The Regression result revealed that age, marital status, education level, credit amount, number of training have significant impact on women’s economic empowerment. However, numbers of household and previous business experience have insignificant impact on women economic empowerment in the study areas. Independent t-test result revealed that Amhara credit and saving institution has significant impact on women’s economic empowerment as measured by the increased participation of women in resource controlling, improved household income, asset possession levels, and saving. 11 30 2019 9696 9703 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D9993.118419 https://www.ijrte.org/portfolio-item/D9993118419/ Vladivostok State University of Economics and Service, Vladivostok, Russia. Natalya Stepanovna Martyshenko* Angelina Georgievna Kim Vladivostok State University of Economics and Service, Vladivostok, Russia. Olga Gennadevna Marchenko Vladivostok State University of Economics and Service, Vladivostok, Russia. Currently, the fitness services market in Russia demonstrates one of the highest growth rates among other service markets. Recently, the growth of demand for fitness services has been moving from the capital cities to the regions. A new level of development of the fitness industry is characterized by the transition from the elite service to the mass one. To study the fitness services market in the Primorye Territory, the data of the questionnaire survey of the youth audience consisting of students of higher education institutions in the Primorye Territory were used in the present work. The questionnaire form used to analyze consumer behavior mainly included open-ended questions, which were processed using special computer technology. The scientific novelty of the research consists in the development of an original approach to developing a motivational model for fitness services consumption. The paper presents some results of the study of latent factors affecting the formation of demand for fitness services in the region. Exploring consumer behavior allows judging the effectiveness of a fitness service in general, analyzing current trends in fitness consumption in the region and predicting the demand for fitness products in the future. 11 30 2019 9637 9645 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D9994.118419 https://www.ijrte.org/portfolio-item/D9994118419/ Research Scholar, Department of Information Technology, Guru Nanak Institutions Technical Campus, Hyderabad (Telangana) , India. Pratharan Sai Rupak Reddy* Nimmoju Arun Kumar Chary Research Scholar, Department of Information Technology, Guru Nanak Institutions Technical Campus, Hyderabad (Telangana) , India. Kiran Jeedi Assistant Professor, Department of Information Technology, Guru Nanak Institutions Technical Campus, Hyderabad. (Telangana),India. This work proposes the modernistic multi-biometric recognition system for detecting artificial fingerprints and new biometric recognition system to use it in some real-time scenarios. In the recent studies of multi-biometrics, the usage of fingerprint and body odor recognition system stays untouched. This proposed design of a multi-biometric system includes a body odor recognition system along with a fingerprint recognition system that will improve the results in terms of accuracy. The reason behind proposing this model is to detect artificial fingerprints by differentiating the odor of human skin from other materials that are employed in the preparation of artificial fingerprints. This multi-biometric system can be used in forensic labs to identify criminals and to improve the standards of security in authentication of an individual. This multi-biometric system will completely eradicate the use of fake fingerprints and this proposed work will make a remarkable place in real-time applications and the history of multi-biometric systems. 11 30 2019 9646 9650 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D9998.118419 https://www.ijrte.org/portfolio-item/D9998118419/ Computer Science and Engineering Department, PhD Scholar, KLU, Vijayawada, Assistant Professor, GITAM University, Hyderabad, India, Venkata Ramani Varanasi* Dr. Shaik Razia Computer Science and Engineering Department, Associate Professor, KLU, Vijayawada, India, With the increase in usage of networking technology and the Internet, Intrusion detection becomes important and challenging security problem. A number of techniques came into existence to detect the intrusions on the basis of machine learning and deep learning procedures. This paper will give inspiration to the use of ML and DL systems to IP traffic and gives a concise depiction of every one of the ML and DL strategies. This paper gives an audit of 40 noteworthy works that covers the period from 2015 to 2019. ML and DL methods are compared with regard to their accuracy and detection potential to detect different types of intrusions. Future Research includes ML and DL methods to find the intrusions so as to improve the detection rate, accuracy and to minimize the false positive rate. 11 30 2019 9704 9719 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D9999.118419 https://www.ijrte.org/portfolio-item/D9999118419/ Assistant professor in Electronics and Communication Engineering, Government College of Engineering, Thanjavur, Tamil Nadu, India. G.R. Annusha Kumar* V. Padmathilagam Assistant Professor in Electrical and Electronics Engineering,FEAT,Annamalai University, Chidambaram, Tamil Nadu, India. K. Devarajan Assistant Professor in Electronics and Communication Engineering,FEAT,Annamalai University, Chidambaram, Tamil Nadu, India. A sensor network with wireless communication channel and often termed as WSN comprises of a set of such as nodes with different computing power, and different energy levels. Clustering is an approach to increase the availability of the nodes in the network in terms of lifetime. But an efficient and an optimal to increase the remaining life period of the network is to use an efficient routing approach with hierarchical architecture where at different levels of clusters are formed. Efficient cluster formation in terms of energy and reliable routing are two widely analyzed challenges in WSN. Despite various clustering approaches developed by so many researchers still the design of optimal clustering strategy is remaining as an open challenge. This paper focuses on the design and evaluation of an energy-efficient hierarchical clustering approach of integrating an evolutionary algorithm and the Adaptive Threshold sensitive Energy Efficient routing protocol. Genetic Algorithm (GA) is used to optimize the energy exhaustion in the network. 11 30 2019 9838 9843 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.F2345.118419 https://www.ijrte.org/portfolio-item/F2345037619/ Professor, Department of ECE, Mepco Schlenk Engineering College, Sivakasi, India S. Anand* J. Murugachandravel Assistant Professor (Sl. Grade), Department of MCA, Mepco Schlenk Engineering College, Sivakasi, India K. Valarmathi Senior Lecturer, Department of ECE, S.Vellaichamy Nadar Polytechnic College, Virudhunagar, India Abhisha Mano Asst. Professor, Department of ECE, Rajas International Institute of Technology for Women, Nagercoil, India N. Kavitha Assistant Professor, Department of CSE, Saranathan Engineering College, Tiruchirapalli, India Mammography is an operative procedure for early detection of cancer present in breast. However, the pathological changes of the breast are difficult to interpret from low contrast mammograms. This research proposes a method to enhance the contrast of the mammogram that uses Non-subsampled contourlet transform (NSCT) based edge information. Instead of a directional filter bank in the conventional NSCT structure, this paper uses multiscale non-separable edge filters. These edge filters outputs intrinsic edge structure information based on simplified hyperbolic tangent function applied with two polarized schemes. This edge information further used to improve the local contrast. Adaptive histogram equalization (AHE) also used to increase the overall contrast of mammogram. Improved detection of microcalcification (MC) from enhanced mammogram images shows the success of this algorithm. This method has better enhancement measure (EME) than AHE and unsharp based mammogram enhancement method. 11 30 2019 3926 3932 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.F2473.118419 https://www.ijrte.org/portfolio-item/F2473037619/ Associate Professor, Department of EEE, Dr.M.G.R Educational and Research Institute, Chennai, India. A. Kannan* T. Chandrasekar Professor, Department of EEE, Anna University/ Sri Andal Alagar Engineering College, Chennai, India B.Justus Rabi Professor Department of EEE, Anna University/ Sri Andal Alagar Engineering College, Chennai, India. S.S. Darly Assistant Professor, University College of Engineering, Tindivanam, Tamil nadu An adjustable speed drive creates the harmonics. The novel current injection circuit does not need any additional active devices. With the significant reduction in current harmonics, the AC input line current is sinusoidal. The ZVS technique is used for all the switches operation. The rectifier diodes are by soft switching. The output voltage regulated by fixed duty ratio with varying switching frequency. The advantages of proposed AC-DC-AC systems are low price, compact, high efficiency, and simplicity. Nine level diode clamped inverter produces the voltage harmonics of 8.75%. The Total Harmonic Distortion (THD) of input current is as low as 7.72 % and power factor as high as 0.99. Theoretical results are verified initially through PSIM simulation and validated with an experimental prototype of 2.5Kw. 11 30 2019 3933 3935 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.F2608.118419 https://www.ijrte.org/portfolio-item/F2608037619/ Associate professor Dhanalakshmi College of Engineering Chennai Dr. Vijayanand S* A. Kumar Assistant professor, in Electronics and communication engineering Dhanalakshmi College of Engineering. Dr. Roopa M associate professor, SRMIST Mr. Jagir Hussain assistant professor,Dhanalakshmi College of Engineering. Lung infections are the messes that influence the lungs, the organs that empower us to breathe in and it is the most notable illnesses worldwide especially in India. The sicknesses, for instance, pleural radiation and customary lung are distinguished and masterminded in this work. This paper presents a PC helped gathering Method in Computer Tomography (CT) Images of lungs made using ANN-BPN. The inspiration driving the work is to distinguish and arrange the lung illnesses by compelling component extraction through Dual-Tree Complex Wavelet Transform and GLCM Features. The entire lung is assigned from the CT Images and the parameters are resolved from the separated picture. The parameters are resolved using GLCM. We Propose and survey the ANN-Back Propagation Network planned for gathering of ILD structures. 11 30 2019 3344 3349 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.F2792.118419 https://www.ijrte.org/portfolio-item/F2792037619/ Ph.D. Scholar, Bapurao Deshmukh College of Engineering Sevagram Wardha, Maharashtra State-442102, India. S.Chandra Sekhar* Dr. N.N. Mhala Professor&Principal,Government Polytechnic College. Thane, Maharashtra State, India. Hand gesture recognition is extremely critical for human-PC connection. This manuscript presents a narrative constant strategy for human-hand gesture recognition. Here a framework for the discovery of quick gesture movement by utilizing a direct indicator of hand developments utilizing information combination technique. In our system, the hand area is removed from the foundation with the foundation subtraction strategy. At long last, the framework has been approved by methods for the Kinect v2 application actualized. The time requirement is recognized and the recognition is quick contrasted with other ongoing minutes. The timing analysis is compared , and the average time using data fusion method [1] is 63ms. By using fast integrating of data the average time is 45ms. The time taken for recognition of hand gesture is been improved. The experimental results are performed using Matlab tool. 11 30 2019 4010 4013 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.K1742.118419 https://www.ijrte.org/portfolio-item/K17420981119/