-74813b3e17f460286dfb4e 20220620063644012 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 Associate Professor in Sree Vidyanikethan Engineering College (A), Tirupathi, India. K.S. Chakradhar* Dr. V. Malleswara Rao Professor in GITAM (Deemed to be University) from past 30 years. One of the applications of UWB antenna is for detecting a cancer tumor according to breast cancer model system. The absolute dimensions of antenna are 44x30mm2 having a thickness of 1.6 mm. It involves Ultra wide band of 80% frequency range of 3 GHz–12 GHz for the FCC band. The proposed antenna resulted high gain and omni-directional radiation patterns and a considerable impedance matching. The optimized functioning of the antenna is illustrated by the simulation results. This antenna has been implemented in a designed system model with dielectric properties of a human breast capable to detect peculiar bodies. The tumor is detected and examined by the received Proportions and Positional coordinates, accessed by the application of UWB antenna. The accurate position coordinates of the tumor inside the breast are obtained at the places with the least Specific absorption rate (SAR). The antenna was used to localize the tumor precisely which shows the excellent functioning of the antenna and device. The proposed device is simulated by using Ansoft HFSS software and also CST Microwave studio simulator developed the breast model. 11 30 2019 4701 4709 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D8547.118419 https://www.ijrte.org/portfolio-item/D8547118419/ Department of Aeronautical Engineering, MLR Institute of Technology, Hyderabad, India. A Vivek Anand* B Nagaraj Goud Department of Aeronautical Engineering, MLR Institute of Technology, Hyderabad, India. J Sahana Department of Aeronautical Engineering, Bannari Amman Institute of Technology, Sathyamangalam, India. V Hariprasad Department of Aeronautical Engineering, Bannari Amman Institute of Technology, Sathyamangalam, India. K Arun Kumar Department of Aeronautical Engineering, MLR Institute of Technology, Hyderabad, India. The Aerodynamics of the Unmanned Aerial Vehicle plays a vital role in determining its performance. The reduction in drag helps the UAV to augment its flight time in terms of range as well as endurance. In our work an attempt was made to reduce the drag by means of changing its surface morphology in micro level without changing the entire shape and size of the UAV. The patterned surface morphology in the form of grooves and pillars were introduced on the surface of UAV. The wettability and aerodynamic parameters were quantitatively measured on the target micro patterned surface and the relation between them was explored in this work. The optimized size and shape of the micro patterns which supports to reduce drag in UAV was found experimentally in this work. 11 30 2019 4710 4714 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D8548.118419 https://www.ijrte.org/portfolio-item/D8548118419/ currently pursuing Information Systems Department, School of Information Systems, Bina Nusantara University, Jakarta, Indonesia Erick Fernando Ratih Kusumastuti currently pursuing Accounting Departement, Business and Economics FacultyUniversity of Jambi, Kota Jambi, Jambi Derist Touriano currently pursuing Information Technology Department, Faculty of computer science and engineering, Adiwangsa Jambi University, Jambi The objective of this study was to observe the factors causing the high perceived risk of using FinTech products or services in Indonesia based on four main dimensions of risk that have been developed [1]. Qualitative method is used to reveal the holistic symptoms of the main dimension of perceived risk and public accountant in 499 Public Accounting Firm in Indonesia as a research population, while sampling method using a convenience sampling method. The data analysis procedure uses the data quality test following a statistical description. The findings obtained from this study is that availability risk is a major factor underlying the high perceived risk of FinTech products or services in Indonesia. 11 30 2019 12331 12335 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D8550.118419 https://www.ijrte.org/portfolio-item/D8550118419/ National Research University ‘MPEI’ (NRU ‘MPEI’), Moscow, Russia. A.V. Ryzhenkov* M.R. Dasaev National Research University ‘MPEI’ (NRU ‘MPEI’), Moscow, Russia. S.V. Grigoriev National Research University ‘MPEI’ (NRU ‘MPEI’), Moscow, Russia. A.V. Kurshakov National Research University ‘MPEI’ (NRU ‘MPEI’), Moscow, Russia. A.F. Mednikov National Research University ‘MPEI’ (NRU ‘MPEI’), Moscow, Russia O.V. Ryzhenkov* National Research University ‘MPEI’ (NRU ‘MPEI’), Moscow, Russia. This work describes possibility to create texturized surfaces by their modification using laser equipment with the aim to achieve steady heterogeneous wetting regime. Experimental results regarding the influence of laser radiation variables on wetting angle are given for steel (20Kh13) and aluminum (D16T) surfaces. This was aided by variation of main variables of laser impact, namely: radiation power (from 10 to 20 W), laser beam scanning speed (from 100 to 500 mm/s), pulse frequency (from 20 to 80 kHz). Analysis of the results has revealed that the maximum wetting angles for steel and aluminum surfaces are 147.64° and 150.27°, respectively, they have been obtained upon laser texturizing at the same variables of laser radiation. The influence of laser spot diameter on wetting angle has been determined upon impact on steel (20Kh13) surface. This has been aided by lenses the with focal lengths of 163 and 100 mm, their laser spot diameters are 59 and 25 μm, respectively. It has been revealed that, other conditions being equal, the wetting angles are higher at higher laser spot diameter (59 μm). 11 30 2019 6715 6720 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D8554.118419 https://www.ijrte.org/portfolio-item/D8554118419/ Research Scholar, Department of Electronics and Communication Engineering, Noorul Islam Centre for Higher Education, Kumaracoil, India. Yasir Aslam* Santhi N Associate Professor, Department of Electronics and Communication Engineering, Noorul Islam Centre for Higher Education, Kumaracoil, India. Ramasamy N Associate Professor, Department of Mechanical Engineering, Noorul Islam Centre for Higher Education, Kumaracoil, India. K. Ramar Professor & Dean, in Computing Science, Muthayammal Engineering College (autonomous), Rasipuram, India. Defect detection is an important phase for the analysis of the surface quality of products as it influences the subsequent process. The existence of surface defects will affect the corrosion and wear resistance of the end product. The insufficient detection and classification rates of the standard algorithms are infeasible to accomplish the production requirements. Surface defect detection in coated metals with non-destructive techniques is an essential prerequisite for quality analysis in manufacturing stage. The existence of surface defects can significantly alter the deterioration resistance and instinctive qualities of a material and as a result more expansive analysis is essential. This paper proposes a competent and exact approach using K-means algorithm for the detection of surface coating defects. K-means is an unsupervised algorithm used for segmenting the area of interest from background. The proposed method uses a sequence of image processing algorithms to examine and validate the input image real-time accuracy for detection of defects. The proposed method efficiency is featured with test samples and results from experimental analysis. It shows that the proposed method be able to adequately and instinctively recognize the presence of defects inside coatings on metal surfaces. 11 30 2019 5782 5786 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D8557.118419 https://www.ijrte.org/portfolio-item/D8557118419/ Statistics Department, Brawijaya University, Malang, Indonesia. Samingun Handoyo* Achmad Efendi Statistics Department, Brawijaya University, Malang, Indonesia. The fuzzy rule bases has a central role in the fuzzy inference system. Generating of rule bases based on input-output data pairs by using Fuzzy C-Mean clustering (FCM) requires parameters setting of the membership function (mf). In the Gaussian mf, the mean and spread parameters must be determined. The outputs of FCM clustering include the cluster center and the partition matrix of each object. The value of cluster center can be used as the center parameter, but the spread parameter is usually determined as a constant value. The research proposes a method to determine spread parameter of Gaussian mf by using Ordinary Least Square (OLS) approach with using the partition matrix as the membership degree of each object in the cluster. The magnitude of cluster centers (n) of 3, 5, and 7 are considered as FCM input to cluster the weekly price of soybeans in East Java, Indonesia on the period of January 2014 to December 2017. Based on each cluster center, the optimal spread value of a Gaussian mf is obtained via OLS. This research succeeded in getting a spread values that could approach almost perfectly each element of the partition matrix. 11 30 2019 5787 5794 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D85611.118419 https://www.ijrte.org/portfolio-item/D8561118419/ undergraduate student in Computer science engineering at KL University, Vijayawada, India. G H S Kaushik* Dr B Thirumala rao is working as a professor, Department of CSE, KL Deemed to be University. He completed his M.Tech and PhD degrees in Computer Science and Engineering from Acharya Nagarjuna University, Guntur, India. R Viswanath undergraduate student in Computer science engineering at KL University, Vijayawada, India. Keerthana J undergraduate student in Computer science engineering at KL University, Vijayawada, India. This work shows a multi-target approach for planning vitality utilization in server farms thinking about customary and environmentally friendly power vitality information sources. Cloud computing is a developing innovation. Cloud computing offers administrations such as IaaS, SaaS, PaaS and it gives computing resources through virtualization over data network. Data center consumes huge amount of electrical energy in which it releases very high amount of carbon-di-oxide. The foremost critical challenge in cloud computing is to implement green cloud computing with the help of optimizing energy utilization. The carbon footprint is lowered while minimizing the operating cost. We know that renewable energies that are produced on-site are highly variable and unpredictable but usage of green energy is very important for the mankind using huge amount of single sourced brown energy is not suggested, so our algorithm which evolves genetically and gives practical solution in order to use renewable energy. 11 30 2019 6594 6597 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D8562.118419 https://www.ijrte.org/portfolio-item/D8562118419/ Assistant Professor, Department of CSE, Department of IT, VLITS, VFSTR, Vadlamudi P. Pavan Kumar* D. Madhusudhana Rao Assistant Professor, Department of CSE, Department of IT, VLITS, VFSTR, Vadlamudi S. Chinna Gopi Assistant Professor, Department of CSE, Department of IT, VLITS, VFSTR, Vadlamudi Gokul Yenduri Research Scholar, Department of CSE, Department of IT, VLITS, VFSTR, Vadlamudi In the era fast growing technology it is necessary for all the educationist to keep more focus on the students because they are the backbones of our nation. In this regard even though there are many systems that make the notation and analysis of students as the one that contribute to the student. This paper presents a consequent approach to measure the problem solving skills which imparts few of life skills, technical skills and intelligent skills which are basically needed in this generation to seek jobs. There must be a system to calculate the intellectual abilities of a student because intellectuality shows a rapid transformation on the evolution of mind sets of students. This paper represents an elaborative approach to estimate the levels of students and categorize them based on their mind sets. It is necessary for all the students in order to acquire a skill set and in order to sustain the skill their intellectuality matters. 11 30 2019 8639 8642 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D8563.118419 https://www.ijrte.org/portfolio-item/D8563118419/ Associate Professor, Dr. B. R. Ambedkar Institute of Management and Technology, Baghlngampally Hyderabad-500044, Telanagana. Dr. Mahesh Chandra* Artificial Intelligence (AI) is a buzz word in the cyber world. It is still a developing science in multiple facets according to the challenges thrown by 21st century. Use of AI has become inseparable from human life. In this day and age one cannot imagine a world without AI as it has much significant impact on human life. The main objective of AI is to develop the technology based activities which represents the human knowledge in order to solve problems. Simply AI is study of how an individual think, work, learn and decide in any scenario of life, whether it may be related to problem solving or learning new things or thinking rationally or to arrive at a solution etc. AI is in every area of human life, naming a few it is into gaming, language processing, speech recognition, expert system, vision system, hand writing recognition, intelligence robots, financial transactions and what not, every activity of human life has become a subset of AI. In spite of numerous uses, AI can also used for destroying the human life, that is the reason human inference is required to monitor the AI activities. Cyber crimes has become quite common and become a daily news item. It is not just a problem faced in one country, it is across the world. Without strong security measures, AI is meaningless as it can be easily accessible by others. It has become a big threat for governments, banks, multinational companies through online attacks by hackers. Lot of individual and organizational data is exploited by hackers and it becomes a big threat to the cyber world. In this connection research in the area of AI and cyber security has gained more importance in the recent times and it is ever lasting also as it is a dynamic and sensitive issue linked to human life. 11 30 2019 8643 8645 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D8566.118419 https://www.ijrte.org/portfolio-item/D8566118419/ Associate Professor, R.M.K. Engineering College, Gummidipoondi, Tamil Nadu, India. T. Joel* J. Yogapriya Programmer Analyst, Cognizant Technology Solutions Medical image degradation contains a significant impact on image quality and therefore affects the human interpretation and also the accuracy of computer assisted diagnostics techniques, unfortunately ultrasound images are principally degraded by an intrinsic noise known as speckle noise. Therefore, de- speckle filtering may be pre-processing step in medical ultrasound images. During this paper we propose a new image de-noising technique is the combination of bilateral filter and wavelet transform. The main contribution of this paper is within the use of a new neighborhood relationship to develop a new multi-scale bilateral filter. Experimental outcomes validate the usefulness and also the correctness of the proposed filter in edge preservation and speckle noise reduction for medical ultrasound images. 11 30 2019 8113 8116 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D8571.118419 https://www.ijrte.org/portfolio-item/D8571118419/ Department of CSE, HKBKCE, VTU ,Bangalore, India, Smitha Kurian* Dr. Loganathan R. department, Department of CSE, HKBKCE, VTU ,Bangalore, India AdHoc networks are self-sustained infrastructure less networks which survives on mutual cooperation by sharing resources. To share the resources as services it is important to be able to advertise available services and discover the required services. Service discovery that is performed in application layer can be benefitted when performed at network layer since it reduces the control message. Therefore the message format of AODV protocol was extended to include service discovery and service advertisements. We propose a method to extend the hello messages of AODV protocol further to include the service information available with the 2-Hop neighbors. To reduce the storage overhead every node would only store the availability of a particular service. Thereby to access the services available at a 2- hop distance the process of service discovery is not required only a uncast message can be sent. This approach has been able to reduce the service acquisition latenc.y 11 30 2019 4068 4072 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D8574.118419 https://www.ijrte.org/portfolio-item/D8574118419/ Faculty of Computer Science, Universitas Katolik Santo Thomas, Road Setia Budi, Tj. Sari, Kec. Medan Selayang, Medan, North Sumatra, 20133, Indonesia Limbong Tonni* Sriadhi Post Graduated, Universitas Negeri Medan Road Willem Iskandar Pasar V Medan Estate, Medan, North Sumatra, 20221, Indonesia Efendi Napitupulu Post Graduated, Universitas Negeri Medan Road Willem Iskandar Pasar V Medan Estate, Medan, North Sumatra, 20221, Indonesia When a process of teaching and learning activities by teachers is boring and uninteresting for students, so long as it can be ascertained that the message of values, morals, and knowledge from these lessons is difficult for students to understand and required a teaching method in the form of computer-based learning applications the game. Management of learning must describe efforts to plan or control teaching activities using teaching concepts and principles so that the objectives of teaching and learning activities are achieved more effectively, efficiently and productively and must be initiated from choosing strategies and plans, of course ending with assessment and can be used as consideration make further teaching improvements. Learning Batak Toba script by using the game model will increase students' enthusiasm and not be bored and train their memory to memorize or remember Batak Toba script and connect them to latin script because the questions that appear will never be the same and keep changing because they are randomized with linear congruent method (LCM). This learning model will add to the existing learning model in the form of multimedia-based applications. 11 30 2019 3984 3988 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D8576.118419 https://www.ijrte.org/portfolio-item/D8576118419/ Department of Mathematics, Maharshi Dayanad University,Rohtak. India. Ekta Narwal* Sumeet Gill Department of Mathematics, Maharshi Dayanad University,Rohtak. India. Biometric identification methods like fingerprints are used throughout the world for authentication such methods are now being researched worldwide for VANETs too. Normally such data are stored in respective files in a computer machine but normally such data from servers/computers are crack-able. There is a need of improving security of such data from intruders as this data contains private information of the driver on road. In this paper we proposed to design and simulate the storage of such biometric data in the form of network parameters of a Neural Network. The simulation of the network is done by using recurrent model and the parameters are saved in place of original biometric images which makes the images impossible to crack. There by providing much more security to the biometric data. 11 30 2019 4715 4718 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D8578.118419 https://www.ijrte.org/portfolio-item/D8578118419/ Department of Master of Computer Applications, Narayanaguru college of Engineering, Manjalumoodu, India. Sukanya S T* Usha Nandini K Department of Master of Computer Applications, Narayanaguru college of Engineering, Manjalumoodu, India. Anuja S B Department of Master of Computer Applications, Narayanaguru college of Engineering, Manjalumoodu, India. CBIR uses the visual contents of an image such as color, shape, texture, and spatial layout to represent and index the image. Local Binary Pattern based descriptors have been used for the purpose of image feature description. Local binary pattern (LBP) has widely increased the popularity due to its simplicity and effectiveness in several applications. In this paper, we proposes a novel method for image description with multichannel decoded local binary patterns. Introduce adder and decoder based two schemas for the combination of the LBPs from more than one channel. Finally, uses Fuzzy C-means clustering under semi- supervised framework. The outcomes are processed as far as the normal exactness rate and average recovery rate and improved execution is seen when contrasted and the aftereffects of the current multichannel based methodologies over every database. The component vector is figured for snake and decoder channels utilizing histograms. At long last, the image ordering process is enhanced utilizing information grouping methods for images having a place with a similar class 11 30 2019 8117 8122 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D8580.118419 https://www.ijrte.org/portfolio-item/D8580118419/ Department of Master of Computer Applications, Narayanaguru college of Engineering, Manjalumoodu, India. Usha Nandini K* Sukanya S T Department of Master of Computer Applications, Narayanaguru college of Engineering, Manjalumoodu, India. Anuja S B Department of Master of Computer Applications, Narayanaguru college of Engineering, Manjalumoodu, India. Health is one of the rising subjects utilized for surveying Health condition among patients who experience the ill effects of explicit sickness or infections. The Health searchers have numerous on the web and disconnected techniques to get the data mentioned by them. However, the network based Health administrations have a few characteristic impediments, for example, tedious for Health searchers and furthermore mitigate the specialists' remaining burden. In this way, programmed infection surmising is criticalness to conquer the trouble of online Health searcher. This work expects to fabricate a sickness recommendation conspire that can consequently gather the potential ailments of the given inquiries in network based Health administrations. Here propose a novel profound learning plan to induce the conceivable sickness given the subject of Health searchers. Our meagerly associated profound learning model contains five layers including the information and yield layers. The hubs in the info layer speak to crude highlights, and hubs in the yield layer mean the surmising results that are used to rough the genuine infection types. This model initially breaks down the data needs of Health searchers regarding inquiry and afterward selects those that pose for potential infections of their showed side effects for further explanatory. At that point client will look for their needs as inquiry. Next preprocesses the inquiry to locate the therapeutic qualities. At that point the preprocessed ascribes to distinguish the relating infection idea. Broad investigates a genuine world dataset named by online specialists show the noteworthy presentation additions of our plan. 11 30 2019 8123 8127 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D8581.118419 https://www.ijrte.org/portfolio-item/D8581118419/ Department of Computer Science and Engineering, Koneru Lakshmaiah Education Foundation, Vaddeswaram, AP, India. K B Lakshmi Pravallika* Pravallika Department of Computer Science and Engineering, Koneru Lakshmaiah Education Foundation, Vaddeswaram, AP, India. P. Jitendra Department of Computer Science and Engineering, Koneru Lakshmaiah Education Foundation, Vaddeswaram, AP,India, CMAK Zeelan Basha Department of Computer Science and Engineering, Koneru Lakshmaiah Education Foundation, Vaddeswaram, AP, India. Proposal frameworks have gotten common lately as they managing the data over-burden issue by recommending clients the most pertinent items from an enormous measure of data. For media item, online collective motion picture suggestions make endeavors to help clients to get to their favored films by catching exactly comparative neighbors among clients or motion pictures from their verifiable basic evaluations. In any case, because of the data meagerly, neighbor choosing is getting progressively troublesome with the quick expanding of motion pictures and clients. In this paper, a half and half model-based motion picture suggestion framework which uses the improved K-implies bunching combined with genetic algorithms (GA) to segment changed client space is proposed. It utilizes principal component analysis (PCA) data decrease method to thick the motion picture populace space which could lessen the calculation unpredictability in savvy film suggestion too. The examination results on Movielens dataset demonstrate that the proposed methodology can give superior as far as accuracy, and create progressively solid and customized motion picture suggestions when contrasted and the current techniques 11 30 2019 8646 8651 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D8588.118419 https://www.ijrte.org/portfolio-item/D8588118419/ Associate professor, Dept. of Mechanical Engineering, KoneruLakshmaiah Education Foundation, Vaddeswaram, Guntur, Andhra Pradesh, India K. Venkaresan* Basam. Koteswararao Lecturer, Department of Mechanical Engineering, Maddawalabu University, Bale Robe, Ethiopia L. Ranganath Assistantprofessor . Dept. of Mechanical Engineering, KoneruLakshmaiah Education Foundation, Vaddeswaram, Guntur, Andhra Pradesh, India Diesel engines are principally employed in industries, transportation and agricultural fields because of their high efficiency and reliability. However, too much of smoke and nitric oxide emissions is one of the drawbacks. To regulate pollution and other negative effects of diesel engines, alternative fuels have come into existence. Ethanol produced from sugarcane in the biomass process is a recent example of it, due to its high octane number. But using raw ethanol is not a quality fuel for a solid ignition engine. It can be converted through a dehydration process to produce Diethyl Ether (DEE), which is an excellent compression-ignition fuel with a higher energy level than ethanol. DEE having a starting problem can’t be used directly in large amounts in diesel engines, but using it in small amounts is an advantage. This paper highlights the performance of blended pyrolysis oil with diesel fuel in the combination of DEE used in a mono cylinder four-stroke diesel engine. The pyrolysis process was used to extract the pyro oil from the Mosambi peel biomass. The oil has been extracted from Mosambi peel at the reaction temperature of 750˚C, in other words, the fast pyrolysis process. The study was conducted on composition of MDEE5 (5%MPPO+5%DEE+90D),MDEE10(10%MPPO+5%DEE+85%D) and MDEE15 (15% MPPO + 5%DEE + 80% D). Characteristics of the above combinations, MDEE5, MDEE10, and MDEE15 were analyzed and the properties like viscosity, density, flashpoint, fire point FTIR analysis of oils are also recorded. The blending of pyrolysis oil and DEE are mixed with diesel fuel with its volume. All the blended fuels were tested at 1500 rpm single-cylinder diesel engine. The maximum power output of brake thermal efficiency was recorded as 31.5% with MDEE5 as it was 30.0% with BD. The emission of smoke and NOx were considerably reduced. 11 30 2019 6045 6049 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D8589.118419 https://www.ijrte.org/portfolio-item/D8589118419/ Assistant professor, Department. of Civil Engineering, Sri Indu college of Engineering & Technology (Autonomous), Sheriguda, Ibrahimpatnam, Hyderabad Lenkala. Krishna* Rena Dedefo Buta Lecturer, HOD, Department of Civil Engineering, Madda walabu University, Bale Robe, Ethiopia SK. B.B Ayesha Assistant professor, Department. of Civil Engineering, Sri Indu college of Engineering & Technology (Autonomous), Sheriguda, Ibrahimpatnam, Hyderabad MuKtar Jeylan Alo Lecturer, Department of Civil Engineering, Madda walabu University, Bale Robe, Ethiopia L. Ranganath Assistant professor . Dept. of Mechanical Engineering, Koneru Lakshmaiah Education Foundation, Vaddeswaram, Guntur, Andhra Pradesh, India The beam column joint is the most crucial zone in a fortified solid minute opposing edge. Its principle work is to empower the bordering individuals to create and manage their definitive quality. Under seismic stacking, the shot of shear disappointment which is weak in nature is high and isn't adequate. In this way, the plan and specifying ought to be done appropriately to oppose these seismic burdens. Considering the natural impacts delivered by bond, a compelling option named geo-polymer concrete integrated from side-effects of steel and warm power plants, is in effect broadly utilized and furthermore have indicated demonstrated enhanced after effects of increment in quality properties like compressive, split elasticity and flexural quality of basic individuals as indicated by late investigations. This paper presents conduct of geo-polymer solid inside pillar segment joint fortified with glass filaments which when consistently circulated over its whole mass, gets reinforced tremendously, along these lines rendering the framework to carry on as a composite material with properties altogether unique in relation to regular cement is tried tentatively under cyclic stacking and is thought about systematically utilizing ANSYS. 11 30 2019 12415 12424 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D8590.118419 https://www.ijrte.org/portfolio-item/D8590118419/ Department of Atmospheric Science, K L University, Vaddeswaram–522502, India. N. Umakanth* G. Ch. Satyanarayana Department of Atmospheric Science, K L University, Vaddeswaram–522502, India. D. Puneet Kumar Department of ECE, K L University, Vaddeswaram–522502, India. L. Ram Gopal Department of ECE, K L University, Vaddeswaram–522502, India. K. Kranthi Mahesh Department of ECE, K L University, Vaddeswaram–522502, India.. Extreme events related to severe thunderstorms have been increasing day by day in recent years over India. Due to the shorter span of occurrence, these events are tough to be predicted. To achieve this, we took the help of the satellite data. In this paper, we analysed the two severe thunderstorm cases in May 2019 by INSAT-3D satellite data. This satellite data helps us to monitor the convective cloud system every 30 minutes. Using this satellite data we are able to calculate the atmospheric indices like LI, KI, TTI and HI for every 30 minutes. These satellite derived atmospheric indices gives us a clear indication of development of Convective system before 3 -4 hours. 11 30 2019 4719 4722 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D8593.118419 https://www.ijrte.org/portfolio-item/D8593118419/ Department of Atmospheric Science, K L University, Vaddeswaram–522502, India. N. Umakanth* G. Ch. Satyanarayana Department of Atmospheric Science, K L University, Vaddeswaram–522502, India. D. Puneet Kumar Department of ECE, K L University, Vaddeswaram–522502, India. L. Ram Gopal Department of ECE, K L University, Vaddeswaram–522502, India. K. Kranthi Mahesh Department of ECE, K L University, Vaddeswaram–522502, India.. Extreme events related to severe thunderstorms have been increasing day by day in recent years over India. Due to the shorter span of occurrence, these events are tough to be predicted. To achieve this, we took the help of the satellite data. In this paper, we analysed the two severe thunderstorm cases in May 2019 by INSAT-3D satellite data. This satellite data helps us to monitor the convective cloud system every 30 minutes. Using this satellite data we are able to calculate the atmospheric indices like LI, KI, TTI and HI for every 30 minutes. These satellite derived atmospheric indices gives us a clear indication of development of Convective system before 3 -4 hours. 11 30 2019 4591 4594 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D8594.118419 https://www.ijrte.org/portfolio-item/D8594118419/