-74813b3e17f460286df326e 20220720082724040 beie:beie director@blueeyesintelligence.org WEB-FORM International Journal of Innovative Technology and Exploring Engineering IJITEE 22783075 10.35940/ijitee https://www.ijitee.org/ 10 30 2019 8 12 Research Scholar, Department of Computer Science & Engineering, R V College of Engineering (Autonomous), Bangalore, Karnataka, India. Ms. Mahalakshmi* Dr. Krishnappa H K Department of Computer Science & Engineering, R V College of Engineering (Autonomous), Bangalore, Karnataka, India. Dr. Jayadevappa D Department of Electronics & Instrumentation Engineering, JSS Academy of Technical Education, Mysore, Karnataka, India. Automatic identification of tumor in human brain is a challenging task due to its varying in size, shape and location. This paper proposes a multi-modality technique for the segmentation of brain tumor its classification to differentiate easily between cancerous and non-cancerous tumor from MR images of the human brain. To achieve this, different segmentation and classification techniques have been applied. The important stages involved in the proposed technique are pre-processing, segmentation and classification stages. The pre-processing step is carried out using wavelet transform, segmentation stage is done by applying modified Chan-Vese model and finally the extracted tumor can be classified as benign or malignant using Support Vector Machine (SVM) classifier. The experimental results on MR images prove that, the proposed method is efficient and robust to noise. Moreover, the comparisons with existing techniques also show that, the proposed method takes less computational time and classify the tumors very accurately. 10 30 2019 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.K2214.0981119 https://www.ijitee.org/portfolio-item/K22140981119/ PhD research scholar,School of Management, SRM Institute of Science and Technology, Kattankulattur, Tamilnadu, India. Venkatesh Ram* Dr. T. Vijayakumar Professor,School of Management, SRM Institute of Science and Technology, Kattankulattur, Tamilnadu, India. Adoption of Agile methodologies in IT organizations has revolutionized software development. It has improved speed of development, quality of final product, customer satisfaction, project control and reduced risk and wastage. Agile methodology is however not just a process but it is a philosophy that has a deep impact on the behavior and mindset of employees. Current paper attempts to study this impact and deduce whether it has a positive impact on Trust, Knowledge Sharing and Collaboration. 10 30 2019 2652 2655 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.K2219.1081219 https://www.ijitee.org/portfolio-item/K22190981119/ Research Scholar, Manonmaniam Sundaranar University, Tirunelveli. D.M.Annie Brighty Christilin* Dr.M.Safish Mary Assistant Professor, Department of Computer Science, St.Xaviers College, Tirunelveli While taking an MRI scan, the patients cannot static for a long time during the motions; the image formation process can create artifacts that may reduce the image quality. The Compressed Sensing (CS) mechanism is employed to reconstruct the original image from the limited data given as the sparse matrix. Hence, CS can be utilized to reduce the acceleration time for an MRI scan considering the patient's health. So the sensing method is implemented by a suitable projection matrix for reconstructing the sparse signals from a few numbers of measurements using Compressed Sensing. The CS guarantees the recovery of the original image with high probability based on random Gaussian projection matrices. However, sparse ternarius projections are more apt for the implementation of hardware. In this article, the proposed deep learning method is employed to obtain a very sparse ternary projection in Compressed Sensing. Compressed Sensing Reconstruction using an adaptive scale parameter based on the texture feature is used to improve the image quality. The two scaling factors αx and αy are assigned to specify the fixed scale for changing the improvement of the image quality. In the parameter using texture feature, the αx and αy are assigned to α as an adaptive scale based on texture feature. In the TACS-SDANN architecture, there are two layers namely the sensing layer which trains the projection matrix and a reconstruction layer which trains for non-linear sparse matrix continuously using Auto-encoder. Experimentally, the scaling factors are calculated on the training data to get the mean Peak-Signal-to-Noise Ratio (PSNR) for improving the image quality. Hence a new deep network layer is employed to improve the image quality in this proposed method. Hence the consequence of the proposed method is compared with the SDANN method based on the mean Peak-Signal-to-Noise Ratio (PSNR) to check the image quality. From that comparisons, the TACS-SDANN architecture is proposed to yield a better performance. 10 30 2019 5455 5441 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.K2246.1081219 https://www.ijitee.org/portfolio-item/K22460981119/ PhD Research Scholar Department of Computer Science & Engineering, Maharishi Markandeshwar (Deemed To Be University) Mullana, Ambala , India. Vinisha Malik* Sandip Kumar Goyal Professor, Department of Computer Science & Engineering, Maharishi Markandeshwar (Deemed To Be University) Mullana, Ambala, India. Naveen Malik Assistant Professor Computer Science & Engineering, Dcrust Govt University, Murthal, Sonepat, ndia. Android malware have risen exponentially over the past few years, posing several serious threats such as system damage, financial loss, and mobile botnets. Various detection techniques have been proposed in the literature for Android malware detection. Some of the techniques analyze static parameters such as permissions, or intents, whereas, others focus on dynamic parameters such as network traffic or system calls. Static techniques are relatively easier to implement, however, stealthy recent malware evade static detection by virtue of update attacks. Dynamic detection can be used to detect such stealthy malware, however, it increases the computation overhead. Hence, both kinds of techniques have their own advantages and disadvantages. In this paper, we have proposed an innovative hybrid detection model that uses both static and dynamic features for malware analysis and detection. We first rank the static and dynamic parameters according to the information gain and then apply machine learning algorithms in the testing phase. The results indicate that hybrid approach is better than both static and dynamic approaches and the proposed model achieves 94.2% detection accuracy with Decision Tree classifier. 10 30 2019 2656 2662 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.K2250.1081219 https://www.ijitee.org/portfolio-item/K22500981119/ BS&H Department, GMRIT, Rajam, A.P, India. P. Geetha* Biogenic synthesis of Ag and ZnO nanoparticles has been proposed as an environmental friendly and cost effective method. Curcuma longa tuber extract was used to reduce silver nitrate and zinc acetate to Ag NPs and ZnO NPs. The extract acts as each reducing capping agent. Synthesis process be standardized by modifying various parameters like salt concentrations, C. longa tuber extract concentration, and temperature and incubation period. The formation of Silver and ZnO NPs was observed among color transition. The morphology of the amalgamate Ag and ZnO NPs be characterized with various experimental techniques (FESEM, TEM). The face-centered cuboidal structure of Ag and ZnO NPs be studied using X-ray optical phenomenon. Further Ag in addition to ZnO NPs were tested for antibacterial and anticancer activities. 10 30 2019 3143 3147 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.K2256.1081219 https://www.ijitee.org/portfolio-item/K22560981119/ Computer Science and Engineering, VRSEC, Vijayawada, India. Dr.G. Krishna Kishore* Suresh Babu Dasari Computer Science and Engineering, VRSEC, Vijayawada, India. S. Ravi Kishan Computer Science and Engineering, VRSEC, Vijayawada, India. The current use of on-line social networks to unfold information and change opinions, by using most of the people, news media and political actors alike, has implement new outlet of research in computational political science. Here The trouble of compute and inferring the political leaning of Twitter customers. We formulate political leaning inference as a convex optimization problem that consists of ideas: Twitter users generally tend to tweet and retweet constantly, and Similar Twitter users have a tendency to be retweeted through similar sets of target audience. Then take a look at our inference technique to a massive dataset of Indian political personnel’s related individual tweets amassed over a time frame. On a fixed of regularly retweeted resources, our method achieves a few percentage of accuracy and excessive rank correlation compared with manually created labels. By analyzing the political leaning of some amount regularly retweeted property, and get regular clients who retweeted them, and the hash tags utilized by those sources, our quantitative have a examine sheds slight at the political demographics of the Twitter population, and the temporal dynamics of political polarization as activities spread.. 10 30 2019 5462 5466 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.K2259.1081219 https://www.ijitee.org/portfolio-item/K22590981119/ Russian State Social University (RSSU), Moscow, Russian Federation. Renata Romanovna Lenkovskaya* Maria Alexandrovna Volkova Russian State Social University (RSSU), Moscow, Russian Federation. Georgyi Nickolaevich Kuleshov Russian State Social University (RSSU), Moscow, Russian Federation. Alla Andreevna Neznamova Russian State Social University (RSSU), Moscow, Russian Federation. The article is aimed at analyzing the legal means of protecting the interests of air transportation service recipients. The main emphasis will be placed on the analysis of the Warsaw Convention and the Montreal Convention provisions reflecting the freedom-of-contract doctrine since the air travel compensation procedure is not regulated by the national Russian legislation. As a result of the analysis, the conclusion was made that individuals, for example, in the case of harm causation, have the right to choose according to the law of which country the compensation should be paid to them. Separately, it was established that the various degrees of liability of air carriers, prescribed in the rules of airlines, not only failed to contribute to fair compensation for harm to the life and health of a passenger but, on the contrary, made for unjust enrichment on both sides. In this regard, the authors came to the conclusion that it is necessary to bring the procedure of compensation for harm caused during air transportation to uniform standards of the transportation rules for all international airlines. In this regard, the authors substantiate the need to introduce the elements of self-regulation of transportation activities and mandatory insurance of carrier liabilities. Besides, proposals were made to fill the gaps in the current air transport legislation, for example, regarding the regulation of a long-term agreement on the organization of systematic air transportation, aircraft charter contracts, and contracts for the performance of aviation work which is important for the country's economy. 10 30 2019 1044 1049 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.K2264.1081219 https://www.ijitee.org/portfolio-item/K22640981119/ Federal State Institution " Research Institute of the Federal Penitentiary Service of Russia”. Moscow, Russia. Marina Georgiyevna Sergeeva* Alevtina Vladimirovna Vilkova Federal State Institution "Research Institute of the Federal Penitentiary Service of Russia”, Moscow, Russia. Vladimir Mikhailovich Litvishkov Federal State Institution "Research Institute of the Federal Penitentiary Service of Russia”, Moscow, Russia Lyubov Vasilyevna Kovtunenko Voronezh institute of the Federal Penitentiary Service Dmitry Vladimirovich Lukashenko Federal State Institution "Research Institute of the Federal Penitentiary Service of Russia”, Moscow, Russia. Elena Mikhailovna Klimova Federal State Institution "Research Institute of the Federal Penitentiary Service of Russia”, Moscow, Russia. Modern education is intensively developing, manifesting new approaches to learning, and progressive concepts in the system of knowledge acquisition. In recent years, global changes have undergone in the Russian education system from pre-school education through higher education. First of all, they affected the higher education system. On the one hand, there was a significant reform of external features: the merger of several universities into one, and the adjustment of the names of universities and institutions. On the other hand, the changes affected the structure of higher education, the levels of education were defined from bachelor’s to master’s course. Competence and practice-oriented approaches began to occupy a dominant position in the learning process, as well as independent work of students was given special attention. On the basis of the Federal State Standards of Higher Education adopted in 2016 in the Law Enforcement major and Jurisprudence training area, for high-quality and effective implementation of their professional activities, graduates of the universities and colleges sponsored by agencies of the Russian Federal Penitentiary Service must acquire a set of cultural, general vocational and specific professional competencies. To achieve the necessary competence (educational) level in the course of learning, the cadets are faced with the task of solving ideological, political, moral, and cognitive problems. Cognitive activity is key and conscious in the learning process, because it permeates the entire educational path of a person, starting with the initial cognitive efforts and ending with the satisfaction of the cognitive needs of trainees. Effective cognitive activity is impossible without positive motivation, sustainable cognitive interest, self-development and self-determination of the individual. 10 30 2019 1050 1055 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.K2266.1081219 https://www.ijitee.org/portfolio-item/K22660981119/ Kindrya, Financial University under the Government of the Russian Federation, Moscow, Russia. Nataliya Alexandrovna* Larisa Nikolaevna Aleshina Financial University under the Government of the Russian Federation, Moscow, Russia. Svetlana Victorovna Bezhanova Financial University under the Government of the Russian Federation, Moscow, Russia. Tatyana Vasilyevna Satina Financial University under the Government of the Russian Federation, Moscow, Russia. Alexander Valentinovich Kosevich International Institute of Economics and Law, Moscow, Russia. The article is dedicated to the substantiation of approaches to the improvement of the quality of the educational process in the multi-level higher education system. It has been established that the time has come for the state-public management of the quality of higher education. It has been proved that to keep the high quality of higher education, public authorities need to draw for the accreditation of educational programs independent assessment institutions and to assure the quality of higher education, as well as to ensure the cooperation of national and international higher education institutions. It has been determined that when performing an external assessment of higher education and public professional accreditation independent bodies’ approaches and principles should be much wider than those used for state accreditation. 10 30 2019 1056 1060 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.K2267.1081219 https://www.ijitee.org/portfolio-item/K22670981119/ Volgograd State Technical University, Volgograd, Russian Federation Evgenij Gennad'evich Efimov* Vladimir Alekseevich Zolotovskiy Volgograd State Technical University, Volgograd, Russian Federation Evgenij Viktorovich Stelnik Volgograd State Technical University, Volgograd, Russian Federation Yakov Alekseevich Kiyashko Volgograd State Technical University, Volgograd, Russian Federation Pavel Ivanovich Lysikov Volgograd State Technical University, Volgograd, Russian Federation The article shows a significant role of social networks in the system of forms of social interaction in the vital city space. The task to identify the most popular platforms for promotion SMO and SMM – brands in the tourist area of a hero city Volgograd was chosen as the key tool. The study identified the effectiveness of priority methods of given marketing practices such as the community formation of brand of territory, work with blogosphere, reputation management, personal branding and extraordinary promotion. The conditions for the infinite social interaction are created in these forms in open ICT environment for the residents and the city guests who have common interests in urban space. The research has accomplished the following tasks such as identification of the most popular open platforms for SMO and SMM of tourist area brand promotion of a hero city Volgograd, detection of related communities, identification of a trust level to them, establishment of their purposes and the range of issues of their interest, places and attractions, related to the brand of territory; uncovering of factors and mechanisms which detect mood changing of the target audience and creation of methodological templates which allow to develop, implement and optimize SMO and SMM campaigns. 10 30 2019 1061 1063 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.K2268.1081219 https://www.ijitee.org/portfolio-item/K22680981119/ Research Scholar, EEE department, Vel Tech Rangarajan Dr. Sagunthala R & D Institute of Science & Technology, Chennai-62, India. R. Lakshmi* K. Karunanithi Associate Professor, EEE department, Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science & Technology,Chennai-62, India In this work the DC-DC forward converter is proposed. The forward converter system nonlinear dynamic performance is present, as it works in switch-mode. Besides, it is revealed to significant inequality which may take this system during the nominal conditions, due to fluctuations on the load or on the line voltage at the input. Traditional converters like, boost converters, switched- inductor converters, switched -capacitor converters etc. are restricted because of at most duty cycle (unity). Fundamentally transformer is introduced to improve the voltage and also it gives the benefits of supplying power to various loads, therefore it is further acceptable for different DC power applications. Examination at open control of the suggested converters are described in this work and we investigate the equations of a forward converter and propose a design for components and also simulated two and three switches forward converter. The suggested converter (FC) has been verified theoretically by simulating it in MATLAB Simulink. 10 30 2019 5467 5471 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.K2275.1081219 https://www.ijitee.org/portfolio-item/K22750981119/ Pursuing M.Tech.(CSE), Narasaraopet Engineering College, Narasaraopeta, AP – 522601, India. Shammi Shaik* Dr. S. N. Tirumala Rao Professor, Computer science and engineering, Narasaraopeta Engineering College, Narasaraopet, AP -522601, India. Dr. Venkata Reddy Associate Professor, Computer Science and Engineering, Narasaraopeta Engineering College, Narasaraopet, Andhra Pradesh 522601, India. Nowadays, Social media positions remain a favorite combination as clients studying to distribute their occurrences, activities on the network. These websites receive large quantities of user-supplied elements during the vast difference natural world results of various varieties, reach. An effective advertisement marketing approach is designed by using the products that contain the information, additionally client inclinations and conclusions on information about products. By this kind of similarity between concepts of profile, a precise matching method is developed to match the profile of the Web services and user. In this work, the approach is developed to search the concept similarity in the second phase of the process of query rewriting is performed after extraction queries. Similarity measure techniques are very much useful in processing database queries such as top-k queries, reverse top-k queries, k-nearest neighbor queries and other different types of queries related to trading sales activities. 10 30 2019 5472 5474 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.K2276.1081219 https://www.ijitee.org/portfolio-item/K22760981119/ Civil Engineering Department, Faculty of Engineering Technology, Al-Balqa Applied University, 11134 Amman, Jordan Yazan Alzubi* Ahmad B. Malkawi Civil Engineering Department, Faculty of Engineering Technology, Al-Balqa Applied University, 11134 Amman, Jordan Maan Habib Civil Engineering Department Faculty of Engineering Technology, Al-Balqa Applied University, 11134 Amman, Jordan This study aimed to analyzethe mediating impact of competence adequacy on organizational health and technology disruption. Leading construction firms in Jordan participated in this quantitative study and he results revealed significant positive effects of competence adequacy, on organisational health. These findingsprove to be an important contribution and implications to both practitioners and policy makers. Moreover, advantageous insights on how CA, TD can enhance the overall organizational health is also provided by this study. Findings and contributions of the study are as follows. Firstly, Jordanian construction firms will get more insight on the importance of institutionalizing competence building in their establishments by increasing awareness in managers. Additionally, anticipating environmental changes like technology disruption are also highlighted by the findings which guide organisations to achieve a sustainable edge over competitors at the marketplace and for future survival. 10 30 2019 5475 5482 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.K2282.1081219 https://www.ijitee.org/portfolio-item/K22820981119/ Department of Computer Science & Engineering,Integral University, Lucknow, U.P., India. Manmohan Singh Yadav* Shish Ahamad Department of Computer Science & Engineering Integral University, Lucknow,U.P., India Anomaly (outlier) detection is plays very significant role in ESN based monitoring application using on large data used for biomedical and defence. Wireless Sensor network monitor environmental parameters (temperature, humidity, pressure, vibration etc). Group of sensor nodes forms a (WSN) and observations collected from these sensor produces low data quality and reliability due to the limited energy, memory, computation capability and bandwidth. The dynamic environment of network and roughness of the working condition are also responsible to generate inaccuracy in measurements. In this paper, an approach for outliers detection based entropy value of received sensor voltages is applied using KNN prediction model .The algorithm development and analysis involves a real time database generated on 14 sets of MICA2 wireless sensor kit with anomaly inserted by real time motion based intrusion in the lab by volunteers from Intel Berkeley lab. On each sensor data pair segmentation is applied by fixed window size in order get large outliers’ measurements training dataset. The analysis demonstrates the measurement accuracy in detection of number of outliers that its 86%. Moreover, the algorithm also provides an analysis in terms of impact of variation in distance types and number of nearest neighbours in the KNN prediction model. This work is helpful in the application in the situations where high amount of noise or distortions are present. The outlier part from distorted data can be figured out and recollected to enhance application accuracy. 10 30 2019 5483 5489 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.K2290.1081219 https://www.ijitee.org/portfolio-item/K22900981119/ ECE department, JNTUA University, Kurnool, INDIA. N.Praveen Kumar* Dr.B.Stephen Charles Principal, Stanley Stephen College of Engg & Tech, Kurnool, INDIA. Dr.V. Sumalatha Professor, JNTUA University, Anantapur, INDIA. Persistent scaling of planar MOSFET results in increase in transistor package density and performance of chip. However at nanometer regime , it has become a very challenging issue due to the increase in the short channel effects. In nanoscaled MOSFETs, the channel loses control from gate terminal due to potential at drain. Due to this, it is difficult to turn off MOSFET completely which inturn leads to leakage currents. Since cache memory occupies more area of processors, it is difficult to reduce leakage power in microprocessors. Double gate transistors have become replacement for MOS transistors at nano level. Since FINFETs have double gates, the leakage currents can be controlled effectively than planar MOSFET. In this paper, leakage currents of 6T & 7T-SRAM memory cell are analyzed using FINFETs at 22nm technology in hspice software 10 30 2019 2983 2985 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.K2292.1081219 https://www.ijitee.org/portfolio-item/K22920981119/ Department of Civil Engineering, GRIET, Hyderabad, India, Dr. T. Srinivas* P. MANOJ ANAND Department of Civil Engineering, GRIET ,Hyderabad,India Concrete is themost generally used construction material inthe world due to, wonderful durability, straight forward accessibility of its constituent materials, its low price, straightforward formability to any shape, etc. There are many ecological problems connected with the manufacture of OPC, at a similar time accessibility of natural coarse aggregate is additionally changing into scarcity and on the other side, the disposal of C&D wastes is additionally changing into a significant environmental issue . Hence, it is unavoidable to find an alternative material to the existing most resource consuming Portland cement and natural aggregates. GPC is a construction material of innovation concrete which shall be produced by the chemical action of inorganic molecules and made up of fly ash, GGBS, FA, CA, and an alkaline solution of NaOH and Na2SiO3, plays a significant role in its environmental control of greenhouse effects. The main objective of this paper is to study the permeation properties such permeability, sorptivity etc.,of geopolymer concrete of grade G40 when natural coarse aggregate is replaced with recycled aggregate in different proportions such as 10%, 20%, 30%, and 40% and also to compare the results of geopolymer concrete made with recycled coarse aggregates with geopolymer concrete of natural coarse aggregate and controlled concrete of respective grade. It has been observed that the permeability and sorptivity properties are better in geopolymer concrete, both in natural coarse aggregate and recycled coarse aggregate up to 30% replacement when it is compared with the same grade of controlled concreterespectively. 10 30 2019 2987 2990 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.K2317.1081219 https://www.ijitee.org/portfolio-item/K23170981119/ Assistant Professor, Department of Civil Engineering, S R Engineering College, Warangal, India. G. Sangeetha* A. Srinadh UG Student, Department of Civil Engineering, S R Engineering College, Warangal, India. B. Chethan UG Student, Department of Civil Engineering, S R Engineering College, Warangal, India. K. Vishal UG Student, Department of Civil Engineering, S R Engineering College, Warangal, India. Y. Nithin UG Student, Department of Civil Engineering, SR Engineering College, Warangal, India. Limited natural resources and their wide utilization with increasing population is a major concern. Conservation of natural resources is of prime importance for sustainable development and to mitigate the demand and supply gap between resources. Rivers are major source of water, Morphometric analysis of watershed covers the drainage networks and parameters such as drainage area, gradient and relief. Morphometric analysis is significant for prediction of floods, soil erosion and sediment yields. Present study covers linear aspects of Morphometric analysis in Bisalpur Reservoir by using Geospatial techniques. Watershed delineation, flow accumulation, flow direction, Flow length followed by Stream ordering have been accomplished by using Hydrology tool in ArcGIS 10.2.2 Software. Advanced space-borne Thermal Emission and Reflection Radiometer (ASTER) and Shuttle Radar Topographic Mission (SRTM) Digital Elevation model (DEM) have been used for preparation of linear aspects of Morphometric parameters. Drainage characteristic have been calculated such as stream length, mean stream length and Bifurcation Ratio for basin evolution studies, such studies are extremely useful for planning rainwater harvesting and Watershed Management. 10 30 2019 2991 2997 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.K2318.1081219 https://www.ijitee.org/portfolio-item/K23180981119/ Assistant Professor in the department of Computer Science and Engineering at BGS Institute of Technology, BG-Nagar, Mandya, Karnataka, INDIA Mrs.Vidyalakshmi K* Dr.M. Siddappa Professor and Head, Dept. of Computer Science and Engineering and aslo is the Dean Academics at Sri Siddhartha Institute of Technology, Tumakuru, Karnataka,INDIA Dr.B. Shanmukha Associate Professor in the department of Mathematics at PES College of Engineering Mandya. Under water acoustic sensor network is the unique case of wireless sensor network in which the physical characteristics limits the capability of sensor network due to various problems like Doppler-spreads, medium significnt delay, Double-side spreading, limited bandwidth and frequency-selective fading. Ensuring QOS is very challenging problem in acoustic sensor networks. In this work, a QOS centric hybrid routing protocol with consideration of fault resilience is proposed. The solution use the parameters of the network at all Application Layer, Network Layer, MAC Layer, and PHY Layer, which are the different layers of IEEE 802.15.4 protocol stack, thus calculating Node selection score which helps in identifying the best forwarding node for a constrained reliable data transmission. The solution involves dynamic link quality estimation, congestion awareness, packet injection ratio estimation and physical switching that cumulatively ensures fault-resilient and QoS delivery over acoustic sensor network. 10 30 2019 2998 3004 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.k2330.1081219 https://www.ijitee.org/portfolio-item/k23300981119/ M.tech student in embedded system, Department of Electrical Engineering, Kirodimal Institute of Technology Raigarh (C.G) Prakash Kumar Dewangan* Prakash Kumar Sen. Supervisor, Department of Mechanical Engineering, Kirodimal Institute of Technology Raigarh (C.G) Atul Kumar Dewangan Additional Examiner, Department of Electrical Engineering, Kirodimal Institute of Technology Raigarh (C.G) The main purpose of the plan is to build up an IOT base electrical energy meter interpretation show for units devoted and charge there upon over the internet. A smart energy meter whose blinking LED signal is interfaced to microcontroller during LDR the blinking LED flash 3200 times for 1 part the LDR sensor provide an interrupt every instance the meter LED flash to the programmed microcontroller, micro controller take this considerate and display the it on an LCD accordingly interfaced to the microcontroller. the learn of the energy meter is also sent to Ethernet guard module individual fed from the micro controller using level shifter IC and RS 232 link which pass on data in a straight line to a devoted web page for show anywhere in the planet. The power provide consists of a step down transformer 230/12V which decreases the voltage to 12V AC. This is changed to DC using a bridge rectifier and it is then regulated to 5V by means of a voltage regulator which is requisite for the action of the microcontroller and additional mechanism. 10 30 2019 3005 3014 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.k2332.1081219 https://www.ijitee.org/portfolio-item/K23320981119/ Chitkara University Institute of Engineering and Technology, Chitkara University, Punjab, India. Shanu Bhardwaj* S.N. Panda Chitkara University Institute of Engineering and Technology, Chitkara University, Punjab, India. Chih-Yung Chang Department of Computer Science and Information Engineering, Tamkang University, Taiwan. Nowadays, several protocols and treaties coexist in the Internet world that dispenses the services to the users. But the distributed management and the control decisions make the network modest to control. Due to these problems, the behavior of the network becomes unpredictable and insufficient. Hence, there is a lack of flexibility in the conventional network architecture like in Wireless Sensor Network (WSN). Therefore, Software-Defined Networking (SDN) finds the deficiencies of the previous technologies and isolated both the planes named as control and data plane. It aims to make the network more simplified and flexible with respect to that of the traditional one. The SDN application in WSN is very commanding in terms of network configuration and network management, leading to an emerging network technology known as Software-Defined Wireless Sensor Network (SDWSN). Therefore, the paper presents the challenges in SDWSN in terms of the management and configuration of the network. The pitch is to comprehend the current challenges with an end goal to ensure more security, efficiency, and dependability. We reviewed several works of literature such as SDN, WSN, and SDWSN and present the findings in terms of architecture, challenges, and their solution. This paper shows how SDN is included in WSN to solve the existing challenges. 10 30 2019 1064 1071 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.K2333.1081219 https://www.ijitee.org/portfolio-item/K23330981119/ Department of Electronics and Communication Engineering, CVR College of Engineering, Hyderabad, India. G Harish Babu* M Kavya Department of Electronics and Communication Engineering, CVR College of Engineering, Hyderabad, India. N Venkatram Dean Academics, Koneru Lakshmaiah Educational Foundation, India. Due to existence of haze, the image quality is degraded in the environment. Removal of haze is called dehazing. To dehaze an image Dark Channel Prior is recommended. Dark Channel Prior is an observation, that an image has few pixels whose intensity value is very small or near to zero in most non-sky patches. Such pixels are referred to as dark pixels. Dehazing through Dark Channel Prior is accomplished using four major steps. The steps include estimating atmospheric light, estimating transmission map, refinement of transmission map and image reconstruction. Incorrect estimation of transmission map may lead to some problems. These problems include false textures and blocking artifacts. Many methods are developed to further sharpen transmission map. Here transmission map is refined using soft matting, guided filter and bilateral filter. The comparison of dehazing methods has become difficult due to scarce availability of ground truth images .So we used I-HAZE, a new data set containing 35 picture pairs of hazy pictures and their respective ground truth pictures. A significant benefit of I-HAZE data set is that it allows us to compare different refinement methods used for dehazing with SSIM, PSNR and RMSE which are used for the measurement of finally obtained reconstructed image quality after the removal of haze. 10 30 2019 3015 3020 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.k2337.1081219 https://www.ijitee.org/portfolio-item/K23370981119/ Department of Computer Engineering, SES's R. C. Patel Institute of Technology, Shirpur Dist. Dhule, India. Vandana Mohan Patil* Prof. Dr. J. B. Patil Department of Computer Engineering, SES's R. C. Patel Institute of Technology, Shirpur Dist. Dhule, India. Continuous growth in information available on the Internet overwhelms the users during navigation. This information overload may result in users’ dissatisfaction which is undesirable. Users’ satisfaction is very important aspect in every domain. Recommender systems play a vital role in dealing with information overload problems. The recommender systems filter the huge information on the Internet to generate limited and personalized information to users. This helps in increasing users' satisfaction by retaining his/her interests during navigation. Pure Web usage data based recommender systems have been used from last few years. However, they lag in precise recommendations because of absence of domain knowledge. Further, the similarity measures play a vital role in recommendation process and hence affect the performance of the recommender systems. The performance of recommender systems can be enhanced through integration of domain knowledge with usage data. This paper presents an approach to movie recommender system that integrates domain knowledge with usage data. The ontology is used to represent domain knowledge. The proposed approach is based on a new ontology based semantic similarity measure. The experimental results prove that the recommendations’ quality andaccuracy of prediction can be enhanced through integration of ontological domain knowledge with Web usage data. 10 30 2019 5490 5497 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.k2338.1081219 https://www.ijitee.org/portfolio-item/K23380981119/ Dept. ECE, ATME College of Engineering, Mysuru, India Prajwalasimha S N* Chethan Suputhra S Dept. of ECE, ATME College of Engineering, Mysuru, India. Mohan C S Dept. of ECE, ATME College of Engineering, Mysuru, India. In this paper, exponential transformation based watermarking of multimedia images has been proposed. The principle behind the scheme is anticipated in frequency domain to elevate robustness and big data entrenching capacity. In the anticipated approach, the secrete image is first imperiled for compression using exponential function and then entrenched onto the cover data. Statistical analysis of resultant data proves better robustness in par with other existing methodologies. 10 30 2019 5789 5793 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.K2339.1081219 https://www.ijitee.org/portfolio-item/K23390981119/ Ph.D Research Scholar, PG and Research Department of Computer Science and Applications Vivekananda College of Arts and Sciences for Women (Autonomous), Elayampalayam, Tiruchengode-637205, Tamilnadu, India. C. Sowmiya* P. Sumitra Assistant Professor in PG and Research Department of Computer Science and Applications, Vivekanandha College of Arts and Sciences for Women, Elayampalayam, Tiruchengode(TK), Namakkal(DT), TamilNadu, India. Nowadays morality rate is increasing globally due to heart disease. It is one of the leading health risk facing men today. So early detection of heart disease assist the patients to maintain a healthy life style. Several techniques are used in the medical field to detect or diagnose disease in view of patient family health history and some other aspects. However, developing a system to predict the heart diseases without any medical tests is still challenging. Machine learning (ML) approaches is suitable and effective in providing decision and prediction from enormous health care data. Several previous researches provide an overall view in ML methods for disease prediction but the accuracy of prediction is still needed to be improved. In this study, a novel framework is presented that intent at removing the unwanted features with Bacterial Colony Optimization algorithm and applies the Hybrid KNN algorithm with great accuracy in identifying the heart disease. This prediction model is developed with UCI Cleveland dataset with several known classification approaches. An enhanced model is presented with 99.83% accuracy in heart disease prediction. The presented study is compared with other classification approaches. 10 30 2019 5497 5502 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.K2344.1081219 https://www.ijitee.org/portfolio-item/K23440981119/ Associate Professor, Department of Engineering, Universitas Muhammadiyah Yogyakarta. Iswanto* Adhianty Nurjanah Lecturer and Researcher,Department of Communication, Universitas Muhammadiyah Yogyakarta. Ipin Prasojo Lecturer and Researcher, Department of Electrical Engineering, ITS PKU Muhammadiyah Surakarta. Fitri Anindiyahadi Lecturer and Researcher, Department of Electrical Engineering, ITS PKU Muhammadiyah Surakarta. Nia Maharani Raharja Lecturer and Researcher, Department of Electrical Engineering, Universitas Islam Negeri. Dusun Pojok is the name of a specific area located in Harjobinangun Village, Pakem District, Sleman Regency, Yogyakarta. It is North of Dusun Blembem Kidul, East of Dusun Cepit, South of Dusun Ngawen, West of Dusun Dero, all are in Harjobinangun Village. Dusun Pojok is surrounded by rice fields. The population consists of 90 families and more women than men. The first problem is the mosque congregation which is dominated by the elderly and small children so that it is rarely found some adolescents and adults aged around 25-30 years in the mosque. The community complained about the mosque youth organization that was no longer functioning. The second problem is the lack of TPA teaching staff. Based on the problems, the purpose of the community service is to make the mosque as a center of activity, foster a sense of love for the mosque, and re-procure the activities of the old TPA that had stopped running. The program is based on enhancing the empowerment of mosques as centers of civilization for the people. The importance of empowering this mosque is to better manage the programs in Raudhatul Jannah mosque, especially for new mosques that will be occupied later and be able to contribute or provide assistance so that the mosque management can be structured easily. 10 30 2019 1072 1074 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.K2345.1081219 https://www.ijitee.org/portfolio-item/K23450981119/ Assistant Professor, SASTRA Deemed to be University. M. Manoj Kumar* Dr.A.Alli Rani Professor, SASTRA Deemed to be University. V. Sundaravazhuthi Asst. Prof.SASTRA Deemed to be University. Power system planners are forced to consider the alarming rate of environmental pollution and rapiddepletion of fossil fuels andutilize renewable energy resources to mitigate the environmental effects of thermal power stations. Combined Economic Emission Dispatch(CEED)offers an effectivesolution to reducefossil fuel emissions as well ascost.Since 1985, CEED is considered to be a common optimization strategy. Literature contains lot of optimization methods for the strategy.In the recent times, using PV energy has proved to be a feasible and dependable alternative for electricity generation systems based on fossil fuels. In the developing countries, the dependency on fossil fuels has been seen as inevitable. At present,the use of renewable energy sources is rapidly increasing in inconventional power generation systems. The present paper puts forwardan approach of combining PVenergy-based grid integrated PV system with fossil fuel based thermal power plant using evolutionary programmingbased optimization technique.Among the various optimization techniques, the Particle Swarm Optimization (PSO) is considered to be the most suitable technique for the problem is explained in detailed manner.The proposed method is to combine CEED with the PV energy and thereby reduces the use of conventional energy resources.It also permits an effective utilizationof abundantlyavailable PV energy.It is tested on standard IEEE 30 bus system with the real time ratings of proposed PV plant situated in Tamilnadu. 10 30 2019 3021 3026 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.K2346.1081219 https://www.ijitee.org/portfolio-item/K23460981119/ School of Advanced Sciences, Vellore Institute of Technology, Vellore, India A. Elakkiya M. Yamuna School of Advanced Sciences, Vellore Institute of Technology, Vellore, India A graph G is said to be domination subdivision non stable ( DSNS ) if  ( Gsduv ) =  ( G ) + 1 for all u, v  V ( G ), u adjacent to v. In this paper, we provide a method of determining the chromatic polynomial of DSNS graph from G. 10 30 2019 3027 3033 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.K2402.1081219 https://www.ijitee.org/portfolio-item/K24020981119/ Russian State Social University (RSSU), Moscow, Russian Federation. N.V. Starostenkov* The theme of the World War II held in the period of 1941-1945 never loses its relevance because the threat of armed violence and military aggression in present days is too great. Therefore, the historical experience should become the property of the younger generation, so it does not repeat the mistakes of the past. Without speaking against the pluralism of scientific approaches and assessments in the study of the past in general, it is impossible to agree with the bias in the description of historical processes that take place today in Russian history. With the coming to power of the new political forces, many historical events concerning the past of the country are rethought, there is a rewriting of historical facts in favor of politicians, to justify their actions. 10 30 2019 5052 5055 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.K2414.1081219 https://www.ijitee.org/portfolio-item/K24140981119/ Postgraduation Student, Department of Civil Engineering, Institute of Aeronautical Engineering, Dundigal, Hyderabad, Telangana, India. Keshav Krishna Molugu Venugopal* Venu Malagevelli Professor, Department of Civil Engineering, Institute of Aeronautical Engineering, Dundigal, Hyderabad, Telangana, India. JSR Prasad Professor, Department of Civil Engineering, Institute of Aeronautical Engineering, Dundigal, Hyderabad, Telangana, India. The concrete is the material that is obtained from concrete forming materials. These raw materials are mixed in particular proportions, these proportions are based on different concrete grades. These concrete grades defines the strength of the concrete. Construction of structures are based upon concrete, the construction process is growing day by day at a huge scale, hence there is more demand for the raw materials. In order to maintain the demand, excessive extractions of raw materials are done, which makes environment more harmful. In order to limit the extraction of natural raw materials that are used for producing concrete mix, alternative supplementary materials are replaced with fine aggregates. This study involves using of alternative supplementary materials as partial replacement of fine aggregate by copper slag and rock dust, copper slag and rock dust are used at various proportions. The various proportions of rock dust and copper slag are 0% to 50% replacement at an increment of 5% interval. Polypropylene fiber is the material that is added as supplementary material to the concrete mix, it is added at constant volume of 1.5% volume of concrete, it is mixed in concrete to improve toughness and reduce shrinkage of concrete. Super plasticizer admixture that is used is Conplast SP430DIS which contains sulphonated naphthalene formaldehyde is added to cement based on site trails which increases the early concrete strength. Combining copper slag, rock dust, polypropylene fiber and super plasticizer admixture in modified concrete gave best results when compared to conventional concrete due to content of silica in copper slag. Hence this combination can be used for further investigation. 10 30 2019 2226 2233 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.K2436.1081219 https://www.ijitee.org/portfolio-item/K24360981119/ Assistant Professor, Department of BCA, PSGR Krishnammal College for Women, Coimbatore, Tamilnadu, India. K. Geethalakshmi* Dr.V.S. Meenakshi Research Supervisor, PG and Research Department of Computer Science, Chikkanna Government Arts College, Tirpur, Bharathiar University, Tamilnadu, India. The retinal abnormalities and diagnosis of Diabetic Retinopathy (DR), Glaucoma are accomplished by extraction of vessel network in human retinal images. An accurate segmentation is required for the pathological analysis. Various researchers proposed many automated systems for vessel segmentation, still this process needs an improvement due to the presence of abnormalities, different magnitude, dimension of the vessels, non-uniform lighting and variable structure of the retina. The proposed work is a new method for retinal vessel segmentation, which consists of three phases, (i) The vessels network is enhanced by using Contrast Limited Adaptive Histogram Equalization(CLAHE) and Median filtering techniques (ii) the smoothened image is segmented based on mathematical morphology and maximum principal curvature followed by cleaning operation to remove the small objects, (iii) the segmented image is compared with hand labeled Ground Truth image and is evaluated with the True Positive, False Positive , True Negative and False Negative parameters. The performance of this work is tested with the images existing in DRIVE database. This work achieves 0.965 Accuracy, 0.752 Sensitivity and 0.989 Specificity. 10 30 2019 3034 3040 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.K2442.1081219 https://www.ijitee.org/portfolio-item/K24420981119/ Department of Applied Economics, Cochin University of Science and Technology, Kochi, India. Manoj P. K.* The ongoing process of globalization has brought about radical changes in industry and business across the globe. Because of global competition, there is ever growing need for higher productivity as well as quality in production. So also, there is a imminent need for improving cost effectiveness in industrial operations to withstand the competitive pressures. So, every business constantly seeks innovative ways of production processes for improving their competitiveness. In this context, this study looks into the need for Flexible Manufacturing Systems (FMSs) in Indian, the effectiveness of FMS in raising the productivity of manufacturing operations, FMS adoption being still in its infancy in India. FMS concept, its suitability, its applications and main trends are discussed. Suitable suggestions for effective FMS implementation in Indian industry are made. 10 30 2019 3041 3047 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.K2452.1081219 https://www.ijitee.org/portfolio-item/K24520981119/ Lecturer in Chemistry at STSN Government Degree College, Kadiri, Andhra Pradesh, India. Mr. Sankara Rao Miditana* Prof. T. Siva Rao Professor and Research Director, Dept. of Inorganic & Analytical Chemistry, A.U. College of Science & Technology, Andhra University, Visakhapatanam, A.P, India. Dr. Shaik Abdul Alim Ph.D. A.U. College of Science & Technology, Andhra University, Visakhapatanam, A.P, India. Mr. Imandi Manga Raju M.Sc, A.U. College of Science & Technology, Andhra University, Visakhapatanam, A.P, India. Photocatalyst has been extensive interest because of it’s new innovation to the reduce the contamination in the environment. A straight forward and economical procedure has been employed by sol-gel technique for the co-doping of Mn2+ and Ni2+ into TiO2. The co-doped and undoped photocatalysts were described by X-ray diffraction (XRD), Scanning electron microscopy (SEM), Energy dispersive X-ray Spectroscopy (EDX), Fourier transform infrared spectroscopy (FT-IR), UV-Visible Diffused Reflectance Spectroscopy (UV Vis-DRS), Transmission electron Microscopy (TEM) and Brunauer-Emmett-Teller (BET). The portrayal results shows that anatase and rutile mixed phase was observed for some co-doped nanocatalysts and the remaining catalysts exhibits anatase phase only. It was observed by FT-IR that the shifting of frequency of Ti-O-Ti in the catalysts was seen due to substitutional doping of Mn and Ni by replace Ti and O, further the photocatalysts shows rough morphology, irregular shape of particle with size (6.5nm) and having high surface area (135.70 m2/g), less band energy (2.7 eV). The photocatalytic action of these materials was assessed by the degradation of Allura red (AR) as a contaminant. The results shows that AR has degraded within 60 minutes at doping concentrations 0.25 Wt% of Mn2+ion and 1.0 Wt% of Ni2+ ion in TiO2 (NMT2) at an optimum reaction parameters pH-4, catalyst dose 0.070g/L and at AR initial dye concentration 0.010g/L. 10 30 2019 650 657 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.K2458.1081219 https://www.ijitee.org/portfolio-item/K24580981119/ Minin Nizhny Novgorod State Pedagogical University, Nizhny Novgorod, Russian Federation, Smirnova Z.V.* Vaganova O. I. Minin Nizhny Novgorod State Pedagogical University, Nizhny Novgorod, Russian Federation, Sirotyk S. D Federal State Budget Educational Institution of Higher Education «Togliatti State University» Sidorova D.G. Siberian Federal University Klyueva Ju. S. Institute of Food Technology and Design - a branch of the Nizhny Novgorod State Medical University of Engineering and Economics University Chelnokova E.N. Minin Nizhny Novgorod State Pedagogical University, Nizhny Novgorod, Russian Federation Mukhina M. V. Minin Nizhny Novgorod State Pedagogical University, Nizhny Novgorod, Russian Federation, The problem of improving the system of motivation of personnel of service organizations is currently of particular relevance. In the current economic situation, issues of personnel motivation management are becoming especially relevant and require deep consideration. The article discloses the success of managing any socio-economic object, which depends on how effective the motivation system for people working within this object is. The decisive causative factor in the effectiveness of people's activities is their motivation. The article aims to develop recommendations for improving the system of motivation of personnel of service activities organizations. The analysis of the personnel management system, based on data held in organizations of service activities. The result of the practical application of proposals and recommendations in selected areas of improving the system of motivation of the personnel of the organization is determined. 10 30 2019 5056 5059 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.K2464.1081219 https://www.ijitee.org/portfolio-item/K24640981119/ Research Scholar, Department of CSE, Annamalai University,Annamalai Nagar, Tamilnadu, India H. Prabavathi* Dr.K. Kavitha Associate Professor, Department of CSE, Annamalai University, Annamalai Nagar, Tamilnadu, India Dr.G. Pradeep Professor, Department of MCA, A.V.C.College of Engineering, Mannampandal, Tamilnadu,India, Vehicular networks are significantly improving wireless communication network which provides an intelligent transportation system services among faster moving vehicles with internet and brings safety and comfort drive. From a single source vehicle the multicast routing protocols delivers multicast messages to all members of the multicast group by means of multi-hop communication. Increasing the density of vehicles results in channel overload, which increases the probability of data collision; hence reduction in successful received data will increase the delay. Therefore, delay and energy consumption are the major constraints that should affect the performance of routing. In this paper we suggest a delay and energy efficient multicast routing (DEMR) protocol for vehicular network using a hybrid machine learning algorithm. The DEMR protocol consists of four layers; are vehicle layer, fog layer, OpenFlow switch layer, and SDN controller layer. Moreover, to partition the vehicle layer, and select the optimal multicast path based on multiple constraints improved weed optimization (IWO) algorithm is proposed. IWO algorithm separates the multicast request into emergency, common and police requests. We design a multi-objective lion optimization (MOLO) algorithm among fog nodes for resource management, which increases the utilization of resources in fog layer and decrease the response time of multicast session request. MOLO algorithm removes the unnecessary flow table and session table entries in the controller. The DEMR protocol is implemented in Network Simulator (NS3) tool and simulation results are compared with the protocols as EEMSFV, MABC, and CVLMS. From the simulation results we conclude that the DEMR algorithm is better than EEMSFV, MABC and CVLMS in terms of transmission ratio, overhead load, average end to end delay, packet loss ratio and, energy consumption. 10 30 2019 3048 3055 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.K2469.1081219 https://www.ijitee.org/portfolio-item/K24690981119/ Graduate Scholar, Civil Engineering Department, SIT, Symbiosis International (Deemed University), Pune, India. Sathwik Reddy* Dr. Sayali Sandbhor Assistant Professor, Civil Engineering Department, SIT, Symbiosis International (Deemed University), Pune, India. Mrs. Vaishnavi Dabir Assistant Professor, Civil Engineering Department, SIT, Symbiosis International (Deemed University), Pune, India. The energy consumption of hospital buildings, have increased due to embedment of sophisticated equipment pertaining to advent of technology. Factors affecting energy consumptions are air quality monitoring, high maintenance of sophisticated machineries, accurate sanitization of premises, high load of patients to doctor ratio in India which is 1596:1 as compared to regulation of 1000:1 prescribed by World Health Organization (WHO). Confederation of Indian Industry (CII) reported that nearly 60% of health care services and hospitals do not meet the minimum of Energy Performance Index (EPI) criteria. Energy Conservation Building Code (ECBC) of India shows that hospitals in India have a potential to achieve 42% energy saving by implementing energy efficient measures. Hence, there is a dire need to assess the parameters contributing to heavy energy consumption and the conservative and preventive measures need to be addressed. Literature indicates incorporation of efficient domestic water heating techniques, boilers, usage of renewable energies, thermal insulation improvement, optimal building design, improvement of air conditioning and heating systems, optimizing electric energy installations etc as possible techniques for achieving energy efficiency. A compile of best practices proposed from literature as compared to the regulations made by ECBC, CII, MEDA, and GBC (Green building council) is made in this paper. HVAC being the highest contributing system for energy consumption, IoT based working models are prepared and proposed for application; suitability of adoption of the system is discussed. 10 30 2019 3056 3060 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.L2470.1081219 https://www.ijitee.org/portfolio-item/L2470108219/ Department of Computer Engineering, Datta Meghe College of Engineering, Navi Mumbai, India. Chhaya Shishir Pawar* Dr.Sudhir Deoraoji Sawarkar Department Of Computer Engineering, Datta Meghe College of Engineering, Navi Mumbai, India. Increasing applications of videos in everyday life demands compressing the videos further. International bodies for Video Coding standards are working toward making it more efficient in terms of reducing bitrate so as to efficiently compress the high-resolution videos. With increasing resolution, the size of the Coding Units increases. Latest Video Coding techniques like High Efficiency Video Coding (HEVC) and Versatile Video coding (VVC) proposed Larger coding Units with flexible Quadtree decompositions. In Inter-picture prediction all the sub blocks have to find best partitioning structure during motion estimation. Due to larger coding units finding the best partitioning introduces computational complexity. In the proposed work we present a computational complexity control scheme using predictive data mining. The method helps to predict whether to split or no split the coding unit. The decision tree model trained offline in the proposed work achieves 77.73% saving in encoding time with minimal change of 0.15 in average PSNR and 0.00074 in average SSIM values. 10 30 2019 3061 3065 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.L2469.1081219 https://www.ijitee.org/portfolio-item/L24691081219/ Department of Mechanical Engineering, Lakireddy Bali Reddy College of Engineering, Mylavaram, Andhra Pradesh, India B. Emmanuel* P. Ravindra Kumar Department of Mechanical Engineering, Lakireddy Bali Reddy College of Engineering, Mylavaram, Andhra Pradesh, India M.P.V.L. Prasanna Department of Mechanical Engineering, Lakireddy Bali Reddy College of Engineering, Mylavaram, Andhra Pradesh, India Cooling is essential to maintain the required efficiency and reliability in a wide range of products such as automobiles, high and medium cogeneration power plants, high power laser systems. Part of heat load amplification and the heat fluxes induced by more industrial products, cooling is one of the industry's main technical problems such as manufacturing, transport and in microelectronics. The main content of the paper is to study the LMTD (logarithmic mean temperature difference), Heat transfer Coefficient and Effectiveness (ε) of combined heat exchanger using acetone/water mixture as a function of a different mass flow rates. This paper deals with the experimental study on the three different heat exchangers like tube in tube, shell and tube and combined (tube in tube & shell and tube) heat exchanger with acetone/water mixture mostly to check the elevation of convective heat transfer coefficient, LMTD, effectiveness, overall heat transfer coefficient. This experimentation work give a summary of, the experimental study of the forced convective heat transfer and flow characteristics of a 25% acetone consisting of 75% water. Acetone/water mixture flow in to a parallel, counter direction in the tube in tube, shell and tube heat exchanger and combined heat exchanger under laminar flow conditions. A maximum increase in the coefficient of convective heat transfer of 58.4% and an effectiveness of 48.5% is recorded. However, combined heat exchanger provides better heat transfer characteristics than parallel and counter flow tubular and shell and tube heat exchanger due to the multi-pass flow of acetone/water. The overall heat transfer coefficients, Reynolds number, logarithmic mean temperature difference, the effectiveness of the acetone/water are also studied and the results are presented in tabular columns and figures. 10 30 2019 5503 5510 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.L2471.1081219 https://www.ijitee.org/portfolio-item/L24711081219/ Research Scholar, Rayalaseema University ,Kurnool, Andhra Pradesh A.Thammi Reddy* Dr.M. Nagendra Professor and Head of the Department, Department of Computer Science, S.K.University, Anantapuram, Andhra Pradesh. Diabetes mellitus has been a very complex and chronic lifelong disease. Hence, it has been identified as a clinically highly significant disease which further attracted the healthcare industry to define most relevant clinical directories and also to apply efficient automated pre-diagnoses and further care. Rule-based classifier technique has proven its strength in diabetes diagnosis when used the computational methods. There has been a considerable development in the classifier’s performance, to classify the disease, in the past decades by which they were highly recommended. In this paper, a classifier is proposed based on minimum rules which further uses Principal Component Analysis (PCA). To apply these techniques Pima Indians diabetes dataset is used from the UCI Machine Learning Repository. Set of experiments were conducted on the data set with PCA to evaluate the performance among the decision tree, Naïve Bayes, and Support Vector Machine. 10 30 2019 4414 4420 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.L2476.1081219 https://www.ijitee.org/portfolio-item/L24761081219/ Department of Economic Management of Natural Resources, Institute of Market Problems and Economic-Ecological Research of the NAS of Ukraine, Odessa, Ukraine Svitlana Bondarenko* Olena Laburtseva Department of Marketing, Kyiv National University of Trade and Economics, Kyiv, Ukraine Оlena Sadchenko Department of Marketing and Business Administration Odessa I.I. Mechnikov National University, Odessa, Ukraine Vira Lebedieva Department of Administrative Management and Market Problems, Odessa National Polytechnic University, Odessa, Ukraine Oleksandra Haidukova Department of Project Management and Enterprise Security, Yurii Fedkovych Chernivtsi National University, Chernivtsi, Ukraine Tetyana Kharchenko Department of Management, Sumy National Agrarian University, Sumy, Ukraine The buying process has changed, and marketers need to look for new ways to attract customers. Instead of reaching potential customers through mass advertising and e-mail newsletters, marketers should now focus on learning how to build and maintain ongoing customer relationships According to statistics, 96% of new visitors to the site are not yet ready to make a purchase, although they are all potential customers. This figure shows how important lead generation is. Visitors to your site is just the beginning of the lead generation process. If the company does not have a clear strategy that will translate potential customers into buyers, it will constantly lose in the market and lose profits. It is necessary to analyze the main indicators of lead generation efficiency, return on investment, and conversion. 10 30 2019 3066 3071 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.L2477.1081219 https://www.ijitee.org/portfolio-item/L24771081219/ Assistant Professor, Department of Computer Science and Engineering, Guru Jambheshwar University of Science and Technology (GJUS&T), Hisar, Haryana. Abhishek Kajal* Dr. Sunil Kumar Nandal Assistant Professor, Department of Computer Science and Engineering, Guru Jambheshwar University of Science and Technology (GJUS&T), Hisar, Haryana. With the increasing literacy rate, the crowd over internet is increasing dramatically and so as the internet threats. Now these days, even kids below 10 are aware of what a virus is and how easily a virus can be created. This is a major problem for the data and stock companies who keep their entire data online or at any server which is traceable. This paper deals with some of the most malicious attacks of cyber world and they takes a little effort to be applied from the attacker side but a lot of effort to even detect it. This paper also focuses on some of the modern world prevention architectures like usage of Artificial Intelligence (Neural Networks) and Swarm Intelligence (Artificial Bee Colony [ABC]). This paper has evaluated the effectiveness of the prevention algorithm through Quality of Service parameters. 10 30 2019 1 6 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.L2478.1081219 https://www.ijitee.org/portfolio-item/L24781081219/ Departmrnt of Electronics & Telecommunication Engineering, Research Scholar, College of Engineering Pune, Pune, India, Faculty,AISSMS Institute of Information Technology, Pune, India. Hemangi Shinde* A.M. Sapkal Departmrnt of Electronics & Telecommunication Engineering, College of Engineering Pune, Pune, India. Aishwarya Phatak Departmrnt of Electronics & Telecommunication Engineering, AISSMS Institute of Information Technology, Pune, India. The subjective quality test of the enhanced speech from different enhancement algorithms for listeners with normal hearing (NH) capability as well as listeners with hearing impairment (HI) is reported. The subjective quality evaluation of speech enhancement methods in the literature survey is mostly done targeting NH listeners and fewer attempts are observed to subjectively evaluate for HI listeners. The algorithms evaluated are from four different classes: spectral subtraction class(SS), statistical model based class (minimum mean square error), subspace class(PKLT) and auditory class (ideal binary mask using STFT, ideal binary mask using gammatone filterbank and ideal binary mask using gammachirp filterbank). The algorithms are evaluated using four types of real world noises recorded in Indian scenarios namely cafeteria, traffic, station and train at -5, 0, 5 and 10 dB SNRs. The evaluation is being done as per ITU-T P.835 standard in terms of three parameters- speech signal alone, background noise and overall quality. The noisy speech database developed in Indian regional language, Marathi, at four SNRs -5, 0, 5 and 10 dB is used for evaluation. Significant improvement is observed in ideal binary mask algorithm in terms of overall quality and signal distortion ratings for NH and HI listeners. The performance of minimum mean square error is also observed comparable with the ideal binary mask algorithm in some cases. 10 30 2019 7 12 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.L2479.1081219 https://www.ijitee.org/portfolio-item/L24791081219/ Electronics and Telecommunication Engineering department, CSMSS, Chh. Shahu College of Engineering, Aurangabad, India. Shrinivas R. Zanwar* Abhilasha S. Narote Electronics and Telecommunication Engineering department, S.K.N. College of Engineering, Pune, India. Sandipann P. Narote Electronics and Telecommunication Engineering department, Government Residence Women’s Polytechnic, Tasgaon, Sangli, India. Optical Character Recognition is a most recent field in area of pattern recognition and machine learning in last decade. In this article, the suitable techniques are designated for better character recognition in document into machine readable form. It is belonging with Content Based Image Retrieval (CBIR) system, which solve the delinquent of searching images in huge dataset. The recognition technique of handwritten character is not developed efficiently till, because of variations in size, shape, style, slats etc. in writing skill of human being. To overcome such problems, the part of concentration is feature extraction and algorithm that take care of such variation. In this paper independent component analysis is used for extracting features. For feature vector selection particle swarm optimization and firefly algorithms are applied. It is observed that due to distributed neighborhood pixel of an image, the PSO gives better recognition rates. 10 30 2019 13 19 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.L2480.1081219 https://www.ijitee.org/portfolio-item/L24801081219/ Providing Information Security Department, Tashkent University of Information Technologies named after Muhammad al-Khwarizmi, Tashkent, Uzbekistan Gulomov Sherzod* Abdullaev Dilmurod Providing Information Security Department, Tashkent University of Information Technologies named after Muhammad al-Khwarizmi, Tashkent, Uzbekistan Malikova Nodira Information Technology Department, Tashkent University of Information Technologies named after Muhammad al-Khwarizmi, Tashkent, Uzbekistan Akhmedova Khusniya Hardware and Software of Control Systems in Telecommunication Department, Tashkent University of Information Technologies named after Muhammad al-Khwarizmi, Tashkent, Uzbekistan This article is devoted to develop network attack detection schemes to search for vulnerable servers and the likelihood of determining the type of attacks by the contents of network packets, a network attack recognition scheme that allows to filter external network traffic by processing incoming requests is proposedas well a network detection model attacks as signs of detecting the position of a security policy is offered. Based on the analysis of time series, a network attack detection model that allows identifying network attacks by a threshold value is developed and a mathematical model for real-time recognition of network attacks is proposed.Model of the behavior of the information flows are shown that the linear model does not provide an adequate assessment of the current process to the critical states. Within the framework of developing models for detecting network attacks, an algorithm for detecting and identifying network attacks is proposed, which allows one to perform not only an exhaustive search for the classification features of network attacks, but to limit itself to a shortened search.The behavior of the queue of half-open compounds are described with an absorbing state, and a system of differential equations for state probabilities are obtained. Also new requests to belong to a particular cluster are analyzed. 10 30 2019 2234 2241 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.L2481.1081219 https://www.ijitee.org/portfolio-item/L24811081219/