-4d90550d17f4602e089-7af3 20220305054229444 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/ 05 30 2020 9 1 Dept of Electronics & Communication Engineering., JSS Science and Technology University, Mysuru, India Prof Sujatha Kumari B A Radha C Dept of Electronics & Communication Engineering. JSS Science and Technology University, Mysuru, India A G Varun Yadiyala Dept of Electronics & Communication Engineering., JSS Science and Technology University, Mysuru, India Aruna B J Dept of Electronics & Communication Engineering., JSS Science and Technology University, Mysuru, India Shwetha B Dept of Electronics & Communication Engineering., JSS Science and Technology University, Mysuru, India Dementia is the brain disorder, that effects the mental cognitive function. Dementia has different stages. when the person is in the early stage they have short memory, losing or misplacing things, the person have more memory loss in moderate stage. During last stage patient completely depends on other for everyday activities. MCI has come to be recognized as an intermediate state of clinical impairment where an individual has mild cognitive symptoms but generally continue to function normally in the community. it is important to determine AD at an earlier stage which is Mild Cognitive Impairment (MCI). Toxic changes may start in the brain at the beginning stage of Alzheimer's disease. MRI Images are used to detect disease at the earlies stage. Wavelet Transform is applied on the MRI Images followed by any feature selection. Machine learning algorithm is used to make prediction. This paper goes through all those studies and techniques used by scientists to unravel the progression of Alzheimer's disease. 05 30 2020 1928 1931 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.A2398.059120 https://www.ijrte.org/portfolio-item/A2398059120/ Computer Science, R V College of Engineering, Bengaluru, India. Suhas H E* Manjunath A E Computer Science, R V College of Engineering, Bengaluru, India. In this data-driven world, AI is being used in almost all the tasks to automate processes and make human life more comfortable. One such industry where Artificial Intelligence (AI) importance is growing is the recruiting industry. This paper aims to propose a new and a better method to match the most suitable talent to jobs, which has been incorporated using two methods – suggesting top resumes to a job opening from a talent pool to a recruiter, recommending top jobs which match to a candidate based on the candidate's resume. Natural Language Processing techniques have been used in implementing this approach – Named Entity Recognition (NER), Word embedding model, and Cosine similarity using which a resume and job will be matched. The NER model is used to extract useful entities from documents, which is enhanced by the word2vec model by making the system more generic and the similarity is calculated using the cosine similarity algorithm. 05 30 2020 1344 1349 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.A2400.059120 https://www.ijrte.org/portfolio-item/A2400059120/ Dept. of Electronics and Communication Engineering, Anil Neerukonda Institute of Technology and Sciences, Visakhapatnam, AndhraPradesh, India. G Manmadha Rao* K Preethi Dept. of Electronics and Communication Engineering, Anil Neerukonda Institute of Technology and Sciences, Visakhapatnam, AndhraPradesh, India. A Sai Krishna Dept. of Electronics and Communication Engineering, Anil Neerukonda Institute of Technology and Sciences, Visakhapatnam, AndhraPradesh, India. Afreen Firdaus Dept. of Electronics and Communication Engineering, Anil Neerukonda Institute of Technology and Sciences, Visakhapatnam, AndhraPradesh, India. Ch Lokesh Dept. of Electronics and Communication Engineering, Anil Neerukonda Institute of Technology and Sciences, Visakhapatnam, AndhraPradesh, India. The modern technology has increased the standard of living for the humans and the large crowds are seen at shopping malls. To save time for the customers,it is important to reduce the process of the billing time. This is done using smart shopping system based on RFID. Items that are put in a smart shopping cart are read one by one and the bill is generated and displayed. After the final bill is generated, the customer pays the bill by using their Pre-charged cards provided by the shopping mall. The aim is to reduce the time consumption needed for the billing system. 05 30 2020 1593 1597 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijeat.A2401.069520 https://www.ijrte.org/portfolio-item/A2401059120/ Professor at the Department of “Building Structures” of the Faculty of “Construction of Buildings and Structures” of the Tashkent Institute of Architecture and Construction, Tashkent, Uzbekistan. Mirzaev Pulat* Umarov Kadir the Chief Engineer of the “GEO BETON TRUST” Reinforced Concrete Products Plant, Tashkent, Uzbekistan. Mirzaev Shavkat Director of the Innovation Center at the Tashkent Institute of Architecture and Construction, Tashkent, Uzbekistan Building codes and regulations for construction in seismic regions of many countries (including Uzbekistan) require that the floors slabs and elements of a building should possess resistance to seismic impacts, have such functions that not only distribute seismic load between the supporting elements of the building (walls, crossbars and frame columns), but also ensure the spatial operation of the building as a result of reliable bracing of these elements. Therefore, floor slabs made of reinforced concrete prefabricated elements must present rigid horizontal diaphragms (disks) that uniformly distribute seismic loads between load-bearing structures. To fulfill the above requirements, the building standards of Uzbekistan KMK 2.01.03-96 “Construction in seismic areas” oblige designers to provide the strength and rigidity of floors slabs of buildings (structures) by installation the anti-seismic bracings in inter-slab joints between the side surfaces of adjacent slabs; between the end supporting sections of slabs and the frame elements or the anti-seismic belts of stone buildings. The same standards require the presence of free lengths of reinforcement bars or concrete inserts at the ends of slabs for connecting floor slabs with each other and with an anti-seismic belt (or a framing beam); these requirements apply to the production of floor slabs using the aggregate-flow technology. An installation of bracing elements for hollow-core slabs of formwork-free shaping with adjacent structures is not provided since the slabs of a set length are fabricated on a production line by cutting a molded monolithic tape on the line. In this regard, hollow-core slabs of formwork-free shaping must have anti-seismic joint units that provide the bearing capacity of building structures of various systems at the stages of their life cycle. Typical solutions of such units for hollow-core slabs of formwork-free shaping have not been developed. An anchor node with a unit in the void at the end section of the slab has been developed for the anti-seismic bracing of a hollow-core floor slab of formwork-free shaping with adjacent building structures (through a seismic belt or a framing beam). For anti-seismic bracing in inter-slab joints between the lateral surfaces of adjacent floor slabs, a constructive solution is proposed for the cross section of a hollow-core slab of formwork-free shaping with a widened lower flange relative to the upper flange to install a reinforced concrete framing beam in the inter-slab joints. This creates a rigid disk in the building floors. Tests for pulling out anchor rods from nodes arranged in voids at the end sections of a hollow-core slab of formwork-free shaping assessed the strength and serviceability of the proposed antiseismic coupling units. The pulling out of the anchor rods in all tested units occurred before the loss of cohesive strength in the contact zone “concrete of the body of anchor unit - concrete of the slab”. The use of hollow-core slabs of formwork-free shaping with a widened lower flange relative to the upper flange greatly simplifies the installation of reinforced concrete framing beams in the inter-slab joints of buildings. A useful model was patented in the Intellectual Property Agency of the Republic of Uzbekistan; a constructive solution was proposed for a hollow-core slab of formwork-free shaping with a widened lower flange relative to the upper flange, application number FAP20180174 with priority date 11/08/2018. The proposed solutions for the anti-seismic ties of a hollow-core slab of formwork-free shaping with a building structure meet the requirements of the building codes of Uzbekistan KMK 2.01.03-96 “Construction in seismic areas” for transforming a floor slab made from prefabricated plates into a continuous beam slab to create a rigid horizontal diaphragm. The arrangement of the proposed anti-seismic connecting units in a hollow-core slab of formwork-free shaping does not change the manufacturing technology of this type of slabs, and allows the creation of a wide range of products for buildings and structures with various architectural, planning and structural solutions that increase the possibilities of housing, civil and industrial construction in seismic areas. 05 30 2020 1409 1413 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.A2406.059120 https://www.ijrte.org/portfolio-item/A2406059120/ Associate Professor, Department of Mathematics, B.J.M. Govt. College, Chavara, Kollam, Kerala, India. Dr. Ajitha Kumari K Here we study variety of monoid and semiring recognizable l-fuzzy languages. A l-fuzzy language over an alphabet A is called commutative l-fuzzy language if it satisfies the condition (puvq) = (pvuq) , for all u,v,p,q ∈ A∗. We prove that the set of all commutative l-fuzzy languages is ∗-variety and conjunctive variety of l-fuzzy languages. 05 30 2020 1569 1571 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.A2417.059120 https://www.ijrte.org/portfolio-item/A2417059120/ Student, Department of Computer Science and Engineering, Mahatma Gandhi Institute of Technology, Hyderabad, India E. Sanjana M. Srikanth Sagar Assistant professor, Department of Computer Science And Engineering Mahatma Gandhi Institute of Technology, Hyderabad, India Deekshitha Nalla Student, Department of Computer Science and Engineering, Mahatma Gandhi Institute of Technology, Hyderabad, India Bonthu Meghana Student, Department of Computer Science and Engineering, Mahatma Gandhi Institute of Technology, Hyderabad, India Anusri Katragadda Student, Department of Computer Science and Engineering, Mahatma Gandhi Institute of Technology, Hyderabad, India In recent years, the usages of smart phones are increasing steadily and also growth of Android application users are increasing. Due to growth of Android application user, some intruder are creating malicious android application as tool to steal the sensitive data. We need an effective and efficient malicious applications detection tool to handle new complex malicious apps created by intruder or hackers. This project deals with idea of using machine learning approaches for detecting the malicious android application. First we have to gather dataset of past malicious apps as training set and with the help of Support vector machine algorithm and decision tree algorithm make up comparison with training dataset and trained dataset we can predict the malware android apps upto 93.2 % unknown / New malware mobile application. By implementing SIGPID, Significant Permission Identification (SIGPID).The goal of the sigid is to improve the apps permissions effectively and efficiently. This SIGPID system improves the accuracy and efficient detection of malware application. With the help of machine learning algorithms such as SVM, Random Forest Classifier and Decision Tree algorithms we make a comparison between training dataset and trained dataset to classify malicious application and benign app. 05 30 2020 1414 1417 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.A2418.059120 https://www.ijrte.org/portfolio-item/A2418059120/ Assistant Professor and Program Coordinator BE (ETC), ME (Electronics) Communication Ms. Priya D. Ghate Ms. Sharda Y Salunkhe Assistant Professor M.E.ETC image processing (Electronics) Communication Mrs.Chetana S. Sangar Assitant professor ME(Electronics) (Electronics) Communication Mrs Dhanashri M Biradar Assistant Professor and Academic Coordinator ME EMB (Electronics) Communication Mr. Diwakar M Tayagar Assistant Professor M.Tech VLSI System Design, Embedded System (Electronics) Communication Inspection, Classification and localization of artificial vertebrae from random CT images is difficult. Normally vertebrates have a similar morphological appearance. Owing to anatomy and hence the subjective field of view of CT scans, the presence of any anchor vertebrae or parametric methods for defining the looks and form can hardly be believed. They suggest a robust and effective method for recognizing and localizing vertebrae that can automatically learn to use both the short range and long-range conceptual information in a controlled manner. Combine a fully convolutionary neural network with an instance memory that preserves information on already segmented vertebrae. This network analyzes image patches iteratively, using the instance memory to scan for and segment the not yet segmented primary vertebra. Every vertebra is measured as wholly or partly at an equal period. This study uses an over dimensional sample of 865 disc-levels from 1115 patients. 05 30 2020 2788 2791 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.A2419.059120 https://www.ijrte.org/portfolio-item/A2419059120/ Department of Electrophysical Methods of Non-Destructive Testing, Karpenko Physico-mechanical Institute of the NAS of Ukraine, Lviv, Ukraine Volodymyr Yuzevych Anatolii Pavlenchyk* Department of Economics and Management, Lviv State University of Physical Culture, Lviv, Ukraine Vitalii Lozovan Department of Electrophysical Methods of Non-Destructive Testing, Karpenko Physico-mechanical Institute of the NAS of Ukraine, Lviv, Ukraine Natalia Mykhalitska Department of Management, Lviv State University of Internal Affairs, Lviv, Ukraine Marianа Bets Department of Entrepreneurship and Environmental Examination of Goods, Lviv Polytechnic National University, Lviv, Ukraine The diagnosed density of corrosion was diagnosed on the outer surface of the underground metal pipeline, depending on the distance L to the compressor station, taking into account the influence of soil, defects, thermal impulses, mechanical vibrational vibrations and corrosion fatigue. The basic relations of the mathematical model for the description of thermal processes and mechanical vibrational vibrations that lead to low-cycle corrosion fatigue in the pipe are proposed. It is noted that the measurement of corrosion currents and polarization potentials at the boundary of the metal pipeline–soil can be detected by devices of types BVS (noncontact current meter), VPP-M (polarization potential meter) and equipment for for diagnostic inspections and monitoring of corrosion protection of underground pipelines (UGPL). Consider for compare the distribution of corrosion current densities and accidents for the pipeline at a distance of L=0..30 km from the compressor station. It is found that the correlation coefficient between them KLD=0,76 is not enough to establish causation. A difference is formed in which the corresponding corrosion current density distribution for a non-oscillating temperature background is subtracted from the total corrosion current density distribution in the range L=0…30 km. In this case, the part of the distribution that is related to the frequency of thermal pulses is highlighted.The correlation coefficient of KWD0.92 is established between the part of the distribution that is related to the frequency of thermal pulses and the distribution of accidents for the pipeline at a distance of L=0…30 km from the compressor station. Based on KWD, it can be argued that the causal relationship between the distribution of heat pulses and accidents is quite plausible. The noted information is important for improving the methods of operation of compressor stations of oil and gas enterprises, taking into account changes in the frequency of heat pulses with regard to improving the quality of by-laws on labor protection regarding gas supply systems. 05 30 2020 1301 1307 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.A2421.059120 https://www.ijrte.org/portfolio-item/A2421059120/ Associate Professor of Management Department Burenina Nataliya Borisovna* For maintenance of economic security steady dynamic development of the system, permanent height of standard of living of population, is needed in a country, regardless of affecting her unfavorable external and internal factors. The basic problem of steady social development of regions is an unsolved to present tense problem of poverty and inequality. The aim of the real article is research of social development of Russia in a dynamics by realization of comparative analysis of quantitative indexes of level of poverty in a country and in her separate regions, level of inequality, exposure of reasons of decline of standard of living of population and development of recommendations on overcoming of poverty and inequality, height of welfare of population. The dialectical method of research of processes and phenomena, analysis of the systems and comparative, method of expert estimations, methods of groupment, tabular, abstractly-logical method, synthesis, is in-process used. As a result of undertaken a study of social development of Russia it is educed the method of expert estimations a standard of living of population is at low level and is the serious threat of economic and social security of country. 10 is educed the most poor regions of Russia, where the level of poverty makes the fourth of population of these regions practically, and in separate regions he makes a to 40% population from 30%. The problem of social inequality, that arose up after disintegration of the USSR and remains extremely actual for modern Russia, is certain major reason of falling of standard of living of population. On results an analysis drawn conclusion about the necessity of structural alteration of economy, changing of economic model of development of Russia on the whole. Recommendations worked out by an author on overcoming of inequality and poverty, driven to work, will assist perfection of socio-economic regional development of Russia, and also steady social development of regions. 05 30 2020 1418 1426 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.A2424.059120 https://www.ijrte.org/portfolio-item/A2424059120/ Department of Management, Kochi, Amrita Vishwa Vidyapeetham, India. Vijith H Organic food are often seen as nutritious, healthy and eco-friendly. With the change in lifestyle, people are more becoming more concerned towards healthy food. Due to this change, people are now turning towards organic food. The aim of this research is to understand the attitude of people towards organic food, the factors that influence people's desire for and purchasing behaviour towards organic food using Fishbein Multi-Attribute Model . With the results achieved, we can understand the preference and attitude of the customers and the factors that drive the customers in buying the organic food. 05 30 2020 1598 1602 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.A2430.059120 https://www.ijrte.org/portfolio-item/A2430059120/ Department of Structural Engineering, Delhi Technological University, Delhi, India. Uzma Bashir Wani Dr. Nirendra Dev Head, Department of Civil Engineering, Delhi Technological University, Delhi, India. The structural response of any structure is the result of various dynamic phenomenon which lead to vibrations or shaking of the structure , depending on the duration of the ground motion, its frequency and time period. In the present work, dynamic analysis of a typical steel silo is done by using linear Time History Analysis and Response Spectrum method for earthquake Zone V as per Indian code. Two analyses are carried out namely, Time History Analysis (THA) and Response Spectrum Analysis (RSA) using STAAD.ProV8i software. The Load combinations are worked out as per IS-1893-2002. The results in terms of Fundamental natural period, Design Base shear, Lateral Displacements, are compared for the two different silo models considered in the present study. 05 30 2020 1986 1990 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.A2442.059120 https://www.ijrte.org/portfolio-item/A2442059120/ Energy Centre, Maulana Azad National Institute of Technology, Bhopal 462003, M.P., India. Lovebrat Saxena* Anil Kumar Department of Mechanical Engineering, Delhi Technological University, Delhi Archana Soni Energy Centre, Maulana Azad National Institute of Technology, Bhopal 462003, M.P., India The worldwide energy demand is rapidly increasing, increasing in turn the necessity of power generation. The generated power is used to fulfill domestic and industrial needs. Industries use electricity for medium scale heating applications, which is the worst use of electricity. Concentrated solar power can prove itself a superior alternative of electrical heating load, being the only technology which produces high quality heat. In this paper, a systematic design approach of a parabolic trough based solar field for a defined thermal load is presented. The performance simulation of the field has been done for a small scale, medium temperature industrial drying process of 290 kWth at 120oC, located in Bhopal using System Advisor Model (SAM), was found to be 23% efficient. The results can be used as a roadmap for designers for the feasibility analysis of local industrial application 05 30 2020 1505 1509 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.A2445.059120 https://www.ijrte.org/portfolio-item/A2445059120/ Department of Computer Science and Engineering, LBS Institute of Technology for Women, Trivandrum, India. Vaishnavi R Anitha Kumari S Department of Computer Science and Engineering, LBS Institute of Technology for Women, Trivandrum, India. Fake news is a coinage often used to refer to fabricated news that uses eye-catching headlines for increased sales rather than legitimate well-researched news, spread via online social media. Emergence of fake news has been increased with the immense use of online news media and social media. Low cost, easy access and rapid dissemination of information lead people to consume news from social media. Since the spread rate of these contents are faster it becomes difficult to identify the fake news from the accurate information. People can download articles from sites, share the content, re-share from others and by the end of the day the false information has gone far from its original site that it becomes very difficult to compare with the real news. It is a long standing problem that affects the digital social media due to its serious threats of misleading information, it creates an immense impact on the society. Hence the identification of such news are relevant and so certain measures needs to be taken in order to reduce or distinguish between the real and fake news. This paper provides a survey on recent past research papers done on this domain and provides an idea on different techniques on machine learning and deep learning that could help in the identification of fake and real news. 05 30 2020 1572 1575 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.A2448.059120 https://www.ijrte.org/portfolio-item/A2448059120/ Research Scholar, Department of Mechanical Engineering, Maulana Azad National Institute of Technology (MANIT), Bhopal-462003, India, Amitabh Shrivastava Amit Telang Assistant Professor, Department of Mechanical Engineering, Maulana Azad National Institute of Technology (MANIT), Bhopal-462003, India A.K. Jha Chief Scientist, Advanced Materials and Processes Research Institute (AMPRI) Bhopal- 462026, India Electromagnetic compression (EMC) is a solid state, high velocity process of deformation of materials. In this process the enhancement of the formability is achieved due to high strain rate forming. In the present study Aluminum alloy AA6061 tube has been compressed using four turn axisymmetric coil. The effect of variable tube wall thicknesses i.e. 1.0, 1.7, and 2.4 mm during the compression of the Al-Mg-Si Aluminum alloy tube electromagnetically has been studied. A constant gap between coil inner diameter (ID) and workpiece outer diameter (OD) was maintained. It has been found that the tube deformation was maximum when the wall thickness was minimum. For compression, 8 kJ energy was used with double power bank. A three dimensional (3D) model of four turn compression coil has been proposed using LS-DYNA software. Comparison between the numerical simulation and experimental results showed a close agreement between both the results. Compression using EMF process can be used in modern industries like automotive, aerospace and nuclear power plants. 05 30 2020 1427 1431 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.A2451.059120 https://www.ijrte.org/portfolio-item/A2451059120/ School of Computer Science and Engineering, Vellore Institute of Technology, Vellore, India. Ishwaria A Ajaypradeep N School of Computer Science and Engineering, Vellore Institute of Technology, Vellore, India. Dr.Sasikala Ra School of Computer Science and Engineering, Vellore Institute of Technology, Vellore, India Autism spectrum disorder (ASD) is a neurological issue that begins from early in childhood and proceeds all through such an individual's reality. It will influence that individual's conduct, speech with others, interference, and learning. Right now anyway, Autism Spectrum Disorder is to be distinguished in the beginning period, which is conceivable. Early acknowledgment of Autism Spectrum Disorder will improve the general psychological wellness of that particular youngster. The machine learning methodology is applied to diagnose Autism Spectrum Disorder (ASD), and in this work, we have used machine learning techniques and Optimization on an ASD dataset. We have employed XGBoost algorithms to the dataset considered, and as a result, efficient outputs are obtained. This will be incredible for the use of doctors to help them recognize Autism Spectrum Disorder at an early prior stage. 05 30 2020 1667 1670 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.A2455.059120 https://www.ijrte.org/portfolio-item/A2455059120/ Student, B. Tech, Electronics and communication Engineering from Galgotias University, Greater Noida, Uttar Pradesh. Awnish Kumar Rahul Tiwari Student, B. Tech, Electronics and communication Engineering from Galgotias University, Greater Noida, Uttar Pradesh Abhilash Gaur Assistant Professor, Electrical, Electronics and Communication Engineering, Galgotias University, Greater Noida, India. The electrical activity of the brain recorded by EEG which used to detect different types of diseases and disorders of the human brain. There is contained a large amount of random noise present during EEG recording, such as artifacts and baseline changes. These noises affect the low -frequency range of the EEG signal. These artifacts hiding some valuable information during analyzing of the EEG signal. In this paper we used the FIR filter for removing low -frequency noise(<1Hz) from the EEG signal. The performance is measured by calculating the SNR and the RMSE. We obtained RMSE average value from the test is 0.08 and the SNR value at frequency(<1Hz) is 0.0190. 05 30 2020 1510 1513 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.A2456.059120 https://www.ijrte.org/portfolio-item/A2456059120/ Dept. of Computer Science & Engineering, LBSITW, Poojappura, TVPM, India. Lekshmi. J* Gisha. G.S Dept. of Computer Science & Engineering, LBSITW, Poojappura, TVPM, India. Finger vein beneath our skin is one of the unique features for identifying an individual. Because of its uniqueness and security the finger vein recognition is considered as a powerful biometric identifier for user authentication. Several techniques have been evolved for finger vein recognition from its early stage of development, but majority approaches were based on hand crafted features which had limitations on quality of the image, positioning of the finger etc. The emergence of neural networks led to the development of various Convolutional Neural Networks (CNN) based approaches for identity verification. This paper surveys various finger vein verification techniques using CNN and determines the factors that will affect the final result. Publicly available finger vein datasets as well as user designed ones, which are of different qualities, are used for the experimental analysis of these techniques. Though CNN is used in all the cases each one differs in the number of layers used, weight updating methods, results obtained etc. It is found that higher recognition accuracy and lower equal error rate (EER) makes the finger vein verification system an effective one. This field has emerged wide popularity recently and is used in different applications where security is of prime importance. 05 30 2020 1514 1519 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.A2469.059120 https://www.ijrte.org/portfolio-item/A2469059120/ School of Civil Engineering, VIT University, Chennai, India. R. Harsha Vardhan Reddy* S. Elavenil School of Civil Engineering, VIT University, Chennai, India. Resistance of a building against seismic forces is one of the practical design parameters that considered while designing as well as during construction. In addition to the parameters, structural ponding is also a problem that occurs when the buildings are spaced closely during the earthquake. However, the functionality and objective of these buildings are different, which translates into different dynamic systems. Many techniques have been introducing and developing to design the structures safe. Coupling and bracing are some of the methods which hold the building together and act as a single inverted pendulum during the earthquake. In the present study, a horizontally coupled building system of 20 storey’s is developed separately with coupled beams and bracing systems. It is assumed that the two adjacent buildings were similar in this coupled building system, so the two adjacent stories could be coupled at the same height by an inter-building. And coupling with beams is introduced at different storey’s in the building, and results reveal that the building coupled beam at all storey showed the performance of the building in terms of displacement, storey drift, and storey shear. 05 30 2020 1868 1871 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.A2475.059120 https://www.ijrte.org/portfolio-item/A2475059120/ Department of Computer Engineering, Oriental University, Indore, India. Satish Pokharkar* Dr. Manoj Kumar Rawat Department of Computer Engineering, Oriental University, Indore, India. Now a day’s in medical field number of application’s will develop for overcome the complexity of previous work. By using information technology and computer science provide various new techniques and medical equipment’s has improved digitalization in healthcare sector. In existing system much more advancement is providing to overcome the time and money of patients and perform exact treatments and store patient’s confidential records in securely but most important issues are security. To address the existing security issues to design and develop the proposed research work on security i.e. for patient’s confidential health data records in database servers. Existing work during data transmission can only protect the patient’s data records but they can’t stop the insider attacks. In proposed research work, first implement front end security with the help of keylogging technique, second to store patient’s confidential data in multiple data servers or chunks and to prevent the insider attacks and third and most important is access policy of search for encrypted data of multi-authority. The main contribution of this research work to assign patients data records in different chunks securely and applying the cryptosystems for security goals of a patient’s confidential records. Especially, proposed work advantages of SHA hashing technique to perform each and every user for access of particular data records. This research work explores secure data storage and sharing using proposed AES 128 encryption algorithm and Role Base Access Control (RBAC) for secure data access scheme for end user. This work also carried out backup server approach it works like proxy storage server for ad hoc data recovery for all distributed data servers. 05 30 2020 1671 1674 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.A2483.059120 https://www.ijrte.org/portfolio-item/A2483059120/ Dept. of Civil Engineering SRM Institute of Science and Technology, Tamilnadu, India S. Sheik Niyas S. Dhanasekar Dept. of Civil Engineering SRM Institute of Science and Technology, Tamilnadu, India. Separating is a compelling procedure in expelling particles from water because utilization of sand become nowadays is very challenging in filtration process. It is a necessity to find an alternative media which must satisfy the low cost, easy availability, high durable with less zone required and discharge of water. Many ponds are contaminated mostly in high level of turbidity. In this work it is identified the various synthetic filter media taken examined for the replacement sand. The high level of turbid water may contain slit, dissolved organic compounds, and other microscopic organisms. So, in this method all contaminants are removed. The filtration procedure was created to break down and filtration of lab scale arrangement was planned. The performance as concerns lab scale reactor was optimized by using HDPE (High Density Polyethylene) granules are easily available in all polymer industries are used as a filter media. A proportional study of natural filter media sand and synthetic filter media HDPE granules was undergone for investigation. This two-filter media were selected because of its locally available and two different size of media (sand 2.5 mm, HDPE 3.5 mm) were evaluated. Bentonite (20mg/l ≈ 120 NTU). Identified two parameters were influenced the filtration recital i.e. media depth, filtration velocity. The outcomes uncovered to evacuate turbidity in best conditions where start to be low filtration rate (10.62 l/m² min), extended media midst (240mm). The removal of turbidity in sand was 70% and in plastic media was 55%. Nevertheless, headloss was achieved in higher manner comparing to plastic media. The treated water used as agriculture purpose. 05 30 2020 1603 1606 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.A2486.059120 https://www.ijrte.org/portfolio-item/A2486059120/ Department of Management Amrita Vishwa Vidyapeetham Amrita University, Kochi Chandu Suresh Smriti Pillai Department of Management Amrita Vishwa Vidyapeetham Amrita University, Kochi Vishnu V Gopal Department of Management Amrita Vishwa Vidyapeetham Amrita University, Kochi On account of high NPA’s in the education loan sector specially in the Southern states of India, efforts are being made to mitigate such losses. Countries like US., UK and many facing such problems had introduced income contingent plans to reduce the mounting losses from NPLs. In this paper, an effort has been made to check the viability of such a scheme in India by analysing the perception levels of the youth across financial literacy, risk aversion and future labour outcomes in India towards such alternative education loan repayment style. The results state that the sample is financially literate and expects favourable labour outcomes and have not shown willingness towards the take-up of the new scheme. It is an initial study conducted on a small sample base and requires extensive research on the same to gauge the willingness and if not, why. 05 30 2020 1759 1763 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.A2487.059120 https://www.ijrte.org/portfolio-item/A2487059120/ Associate Professor, Department of EEE, Rajarajeswari College of Engineering, Bangalore. Prutha. G Smitha. B. M Student, Department of EEE, Rajarajeswari College of Engineering, Bangalore. Kruthi. S Student, Department of EEE, Rajarajeswari College of Engineering, Bangalore. Sahana. D. P Student, Department of EEE, Rajarajeswari College of Engineering, Bangalore. In this paper we are introducing a stick to guide blind people to move independently. It consists of raspberry pi and Arduino for monitoring the stick. Three pairs of ultrasonic sensors are used to detect obstacle in front of the users in the range of 15cm, and water sensors are used for water detection & puddles. The above sensors are interfaced in the stick. The stick can take robotic decision to move forward, backward, left and right as per obstruction detection using dc motor. Users will get alert from buzzer and vibration. Flashlight is interfaced on stick which can be noticed by others to let him pass way. Finger ring is used to give navigation using GPS. The user can maintain easily with fast response & low power consumption The main purpose of this paper is to help visually impaired people for navigating independently 05 30 2020 1520 1522 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.A2498.059120 https://www.ijrte.org/portfolio-item/A2498059120/ Dean (Academics), JIMS Engineering Management Technical Campus affiliated to Guru Gobind Singh Indraprastha University, New Delhi, India Devendra Jha Divyansh Tayal Student of Mechanical Engineering, JIMS Engineering Management Technical Campus affiliated to Guru Gobind Singh Indraprastha University, New Delhi, India. Abhishek Kumar Student of Mechanical Engineering, JIMS Engineering Management Technical Campus affiliated to Guru Gobind Singh Indraprastha University, New Delhi, India. Mudit Sharma Student of Mechanical Engineering, JIMS Engineering Management Technical Campus affiliated to Guru Gobind Singh Indraprastha University, New Delhi, India. Dhruv Kumar Assistant Professor, Mechanical Engineering, JIMS Engineering Management Technical Campus affiliated to Guru Gobind Singh Indraprastha University, New Delhi, India Numerous nations in Asia including India are agrarian economies and the majority of their rustic populaces rely upon horticulture to acquire their business. The utilization of apparatuses and domesticated animals in the rural procedure has decreased the human exertion. Central point that influence agribusiness incorporate less holding territory, deficiency of seeds, manures and work and vulnerability of storm. The motorization of horticulture alludes to the utilization of devices or machines in the rural procedure that conceivably lessens the human exertion. In spite of the fact that it lessens the human exertion in the horticultural procedure, it requires total human collaboration. The mechanization and apply autonomy application in the part of agribusiness is at the blasting stage when contrasted with its wide scope of use in different divisions. Numerous inquires about have been done in this field to robotize the procedure. In the current paper an exertion is made for the plan and advancement of the robot that can perform seeding process with no human intercession. The robot created is equipped for causing a gap in the dirt to up to certain profundity, putting the seed precisely in a similar gap and shutting the mud. The procedure is constrained by a microcontroller. The robot created defeats the disadvantages in the customary technique for seeding which incorporates wastage of seeds, high work wage, lower use of land and so forth. By the utilization of computerization and mechanical technology in the field of farming it is conceivable to build the general proficiency of the agrarian procedure and can alleviate impacts of work lack. This paper likewise presents the IoT-based horticultural creation framework for balancing out organic market of rural items while building up the earth sensors and expectation framework for the development and creation measure of yields by social affair its ecological data. As of now, the interest by utilization of horticultural items could be anticipated quantitatively, be that as it may, the variety of reap and creation by the difference in homestead's developed zone, climate change, infection and bug harm and so on. Couldn't be anticipated, so the market interest of agrarian items has not been controlled appropriately. To beat it, this paper structured the IoT-based checking framework to dissect crop condition, and the technique to improve the effectiveness of dynamic by investigating harvest measurements. 05 30 2020 1576 1579 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.A2499.059120 https://www.ijrte.org/portfolio-item/A2499059120/ Harjit Kaur Assistant Professor, Dr. S. S. Bhatnagar University Institute of Chemical Engineering & Technology, Panjab University, Chandigarh, Punjab, India Harjit Kaur* Sanjay Kaushik Professor University Business School, Panjab University, Chandigarh, Punjab, India Corporate strategy is used as a way to identify new rules and modifying existing rules of doing business. The present paper first discusses the concept of corporate strategy and various approaches followed by the organizations for strategy making. Properly recognized strategic processes help not only in improving the existing strategies but also in identifying the new ventures to enter. The objective of the present study is to understand the strategic mindset of the pharmaceutical companies operating in India and the extent to which they have succeeded in implementing the concept of corporate strategy using the literature on strategy formulation that describes various strategy-making modes as strategic mindsets. The study used a survey approach for data collection on a 7-point Likert Scale. The results of the study indicate that in the Indian pharmaceutical companies strategic outcomes are a result of an ad- hoc approach across various planning mindsets rather than an outcome of strategic management approaches. 05 30 2020 1536 1541 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.A2512.059120 https://www.ijrte.org/portfolio-item/A2512059120/ department of Electronics and Communication Engineering, R V College of Engineering. Bengaluru, India. Tejas V* Dr. Kiran V department of Electronics and Communication Engineering, R V College of Engineering. Bengaluru, India In today’s era of internet, communication plays a vital role in every aspect of daily activity, as the number of internet users increases an enormous volume of data is generated. This motivates to develop and use a messaging system that collects and analyzes large volume of generated data. Kafka is a distributed messaging system based on publish-subscribe model with high throughput and fault-tolerant mechanism. Around 40% of fortune 500 companies use Kafka messaging system for processing data. Kafka is used to stream real-time data and it is also used to process the data received from IOT sensors. This paper discusses about the procedure for developing and deploying the Kafka messaging system into the working environment based on container technology. The secure communication is enabled by configuring the Kafka with two security mechanisms. The performance of the developed system is evaluated considering QoS parameters for different test scenarios using Prometheus tool. 05 30 2020 1622 1626 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.A2516.059120 https://www.ijrte.org/portfolio-item/A2516059120/ Department of Computer Science, Shinawatra University, Thailand Salah Ali Aekavute Sujarae Instructor, Department of Computer Science, School of Science and Technology, Shinawatra University, Thailand. H-CoBIT is a technique initially developed with help of system analyst and designers in safety critical domains to anticipate human involvement failures that may be challenging once the system design becomes operational. This paper outlines and introduces a means of identifying cognitive biases using H-CoBIT method retrospectively (following an accident), where ‘human error’ is a convenient and all-encompassing explanation given in ninety per cent of cases. This we assert is because existing investigative approaches largely concentrate on observed actions rather than intrinsic thought processes. By teasing out the presence of cognitive bias as a causal factor for incorrect actions, safety recommendations can be made towards their mitigation. Analyzing a real-world case study by anticipating potential cognitive biases using H-CoBIT and comparing the results with the observed biases helped validate that this approach can also be used retrospectively. 05 30 2020 2226 2231 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.A2517.059120 https://www.ijrte.org/portfolio-item/A2517059120/ Electrical and Computer Engineering, Kwara State University, Malete, Kwara State, Nigeria. Lambe Mutalub Adesina* Ademola Abdulkareem Department of Electrical and Information Engineering, Covenant University, Sango - Ota, Nigeria. Olalekan Ogunbiyi Electrical and Computer Engineering, Kwara State University, Malete, Kwara State, Nigeria. Electric power transmission towers are line support that exists in different structural configurations depending on the design. Parameters in consideration for the design include proposed voltage and current ratings to be carried by the tower, weight of aluminum conductor and the weight of concrete foundation on which the tower would be erected. It is often reported that ground resistivity of the ground on which an electric power transmission tower is erected has significant effects on earth faults and transmission losses on the line. This paper presents an investigation of the effects of ground resistivity and tower structural design on transmission line symmetrical components. Symmetrical component parameters’ evaluation of the transmission lines approach is considered the best option. Ten differently structured transmission towers were selected for the case study. The effects of installing these ten towers on each of the available ground resistivity types were examined. A modern computer software was developed in carrying out this investigation. The results are presented and discussed. It was observed that at each location of a tower, ground resistivity plays a vital role in measuring the performance of tower in an electric power supply stability and reliability. 05 30 2020 2115 2126 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.A2519.059120 https://www.ijrte.org/portfolio-item/A2519059120/ M. Tech PT, CSE, REVA University, Bangalore, India. Lakshmankumar C As the dispersed registering development makes during the latest decade, re-appropriating data to cloud organization for limit transforms into an engaging example, which benefits in sparing undertakings on generous data support and the board. In any case, since the redistributed distributed storage is not completely reliable, it raises the security worries on the best way to acknowledge information de-duplication in cloud while accomplishing trustworthiness evaluating. Right now, study the issue of uprightness reviewing and make sure about de-duplication on the cloud information. In particular, targeting accomplishing the two info honesty and the de-duplication in the cloud, we propose some two secure frame works, to be specific sec-cloud and sec-cloud+. sec-cloudhelps in presents a reviewing element with most upkeep of the Map-Reduce cloud, which assists customers with producing information about labels before the transferring just as review the trustworthiness of information having been just put away in cloud. The Contrasted and past work, the calculation by the client in Sec-Cloud is extraordinarily decreased during the record transferring and reviewing stages. Sec-Cloud is planned propelled by the way that clients consistently need to scramble their information before transferring, and empowers trustworthiness inspecting and make sure about de-duplication on encoded information. 05 30 2020 1675 1678 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.A2523.059120 https://www.ijrte.org/portfolio-item/A2523059120/ assistant Professor, Noorul Islam Center For Higher Education Dr. R. Chitra Shafeena J Year Pg, Noorul Islam Center For Higher Education Incorporation of previous information regarding organ form and placement is vital to enhance execution of image examination draws near. most importantly, priors is useful in cases any place images zone unit adulterated and contain curios due to constraints in picture obtaining. The incredibly constrained nature of anatomical articles is all around caught with adapting principally based methods. Notwithstanding, in most exceptional and promising procedures like CNN fundamentally based division it's not evident the best method to join such past data. dynamic techniques work as pixel-wise classifiers any place the training targets don't fuse the structure and between conditions of the yield. AN method for the detection of Brain Stroke is projected during this work. Diagnostic strategies victimization Image Segmentation and sweetening strategies area unit projected. Our method is combined with any of the progressive segmentation or super-resolution (SR) NN models and doubtless improve its prediction accuracy and strength while not introducing any memory or process complexness at reasoning time. propose a generic coaching strategy Anatomically forced Neural Networks (ACNN), through a brand new regularization model. 05 30 2020 1613 1616 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.A2525.059120 https://www.ijrte.org/portfolio-item/A2525059120/ Department of Computer Science and Engineering, Dr Mahalingam College of Engineering and Technology, Pollachi, India. Saranya S Dr.A. Rathinavelu Department of Computer Science and Engineering, Dr Mahalingam College of Engineering and Technology, Pollachi, India. Jayashree C Department of Computer Science and Engineering, Dr Mahalingam College of Engineering and Technology, Pollachi, India. Text to Speech System is a Speech Synthesis application that converts a text to speech. The current project focuses on developing a TTS System for the Tamil Language with the Synthesis Technique as Unit Selection Synthesis. Letter Level Segmentation of an input text helps in the reduction of corpus size compared to Syllable Level Segmentation. The segmented units are retrieved with respect to Unicode values, concatenated and the synthesized speech is produced. Intelligibility and Naturalness of the spoken word can be improved using the Smoothing Techniques. Optimal Coupling Smoothing Technique is implemented for the smooth transition in between the concatenated speech segments to create continuous Speech output like human voice. Fraction based Waveform Concatenation method is used to produce the intelligible speech segments as output from the pre-recorded speech database. 05 30 2020 1664 1769 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.A2530.059120 https://www.ijrte.org/portfolio-item/A2530059120/ Department of Computer Science and Engineering, Dr Mahalingam College of Engineering and Technology, Pollachi, India. Dr. N. Suba Rani Dr. A. Noble Mary Juliet Department of Computer Science and Engineering, Dr Mahalingam College of Engineering and Technology, Pollachi, India. S. Arunkumar Department of Computer Science and Engineering, Dr Mahalingam College of Engineering and Technology, Pollachi, India. The cloud refers to a set of services and infrastructure that are accessed via the internet. the cloud infrastructure is shared by many users each one performing different tasks. in order to prevent data leakage in the cloud the Cloud Service Provider should employ an Encryption Algorithm to protect the data of the users. Since the cloud service providers and large amount of data the Encryption Algorithm should be very efficient in terms of computational cost and time. Current Cloud service providers you son of the following algorithms to encrypt and decrypt the data Advanced encryption standard(AES), Rivest–Shamir–Adleman (RSA) and elliptic curve cryptography(ECC).The encryption for cloud should be chosen such that it is computationally efficient for the Cloud Service Provider and also meets the security requirement of the user 05 30 2020 2127 2130 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.A2536.059120 https://www.ijrte.org/portfolio-item/A2536059120/ Department of Computer Science and Engineering, Dr Mahalingam College of Engineering and Technology, Pollachi, India. Dr. A. Noble Mary Juliet Dr. N. Suba Rani Department of Computer Science and Engineering, Dr Mahalingam College of Engineering and Technology, Pollachi, India. S. Sreemathi Department of Computer Science and Engineering, Dr Mahalingam College of Engineering and Technology, Pollachi, India. Skill prediction is the process of withdrawing information from existing data for the purpose of determining their existing skills and future trends. Player gameplay data are collected from various sites and it is validated using blockchain technology. This ensures that the chain remains immutable, because any change in a block’s data will invalidate every block that follows it. Players are then clustered using the K-means clustering algorithm, a clustering approach based on partitions is implemented. To increase the accuracy of prediction, players are classified into groups. Euclidean distance is computed to measure the distance or the (dis)similarity between each pair of players. Decision tree algorithm is used to predict player skill. The efficiency of the proposed method can be assessed using the measures such as precision, recall, F-Score, correlation of Matthews and Fallout rate. The proposed system improves the performance of the system as well as predict more accurate skill using kmeans clustering and decision tree. 05 30 2020 1991 1995 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.A2541.059120 https://www.ijrte.org/portfolio-item/A2541059120/ Assistant Professor, Department of Building Engineering, College of Architecture and Planning, Imam Abdulrahman Bin Faisal University, P. O. Box 1982, Dammam 31441. Saudi Arabia. Dr. Altayeb Qasem Eng. Areej Hamad Mahmoud Hamad Civil engineering department, Isra University Amman Jordan Eng. Eshaq Abdulrazaq Alhashimi Department of Building Engineering, College of Architecture and Planning, Imam Abdulrahman Bin Faisal University, P. O. Box 1982, Dammam 31441. Saudi Arabia Eng. Abdulaziz Alkelani Department of Building Engineering, College of Architecture and Planning, Imam Abdulrahman Bin Faisal University, P. O. Box 1982, Dammam 31441. Saudi Arabia Eng. Mohammed A. Alkhater Department of Interior Design, College of Architecture and Planning, Imam Abdulrahman Bin Faisal University, P. O. Box 1982, Dammam 31441. Saudi Arabia. Building Information Modelling (BIM) has been viewed as capable of addressing the problems of the construction industry. Hitherto, some firms have acknowledged BIM as a novel way to work and gone on to record success, others (which have not so done) have elevated such questions as: ‘How is BIM defined? Is it a tool or a process? Which breeds and sizes of organizations stand to value from BIM?’ These questions formulate the basis of this research. Most of the buildings projects suffered from cumulative total cost and duration in Joran, therefore, there is a dire need for implementing BIM to control the claims in buildings projects in Jordan. This research study was pragmatic to assess the impact of implementation of BIM in building projects and to clarify its effect on controlling the claims that can be avoided by using BIM. The proposed BIM adoption plan is developed to analyze in depth by strategic analysis tools. PESTEL analysis is apprehensive about six issues; political, economic, socio- cultural, environmental, technological, and legal. Complete SWOT analysis is used as planning tool to understand strengths, weaknesses, opportunities, and threats, these strategic analysis tools aids to propose BIM adoption plan for building project describes by ADKAR change management model ; awareness ,desire ,knowledge ,ability and reinforcement. The outcomes of the research demonstrated that successful projects performed in the organizations that have used BIM is established on its adoption as a tool of technology, rather than as a process; a tool that transform the way, work in the construction industry is archetypally done. Additionally, the accomplishments recorded in the firms researched give credibility to project success consequent upon adopting BIM. Nonetheless, the conclusions of this research illustrate that the foundation of this success is leadership-driven innovation. 05 30 2020 1450 1471 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.A2550.059120 https://www.ijrte.org/portfolio-item/A2550059120/ Assistant Professor S.S. Jain Subodh P.G. College, Jaipur Dr. Swati Tiwari The organizations pay a lot of attention on the improved performance of the employee. For the purpose the organizations have well designed appraisal system, which not only evaluates the performance of the employee, but also lays emphasis on those areas which can be improved. The given study has been done to know the effectiveness of Performance Appraisal System on variables like Performance Improvement, Rewards, Culture, Job Satisfaction & Retention in private banks of Jaipur. Means, standard deviation, coefficient correlation, linear regression & one sample t-test has been used to validate the results. Comparative analysis of banks has been done. Results & discussions were drawn & it was concluded that though performance appraisal system is correlated & impacts the underlined dependent variables, yet there are some other reasons too for employee good performance. 05 30 2020 1472 1477 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.A2553.059120 https://www.ijrte.org/portfolio-item/A2553059120/ Associate Professor, Faculty of commerce S.S.Jain Subodh P.G.College, Jaipur Dr. Richa Singhal Today, the constantly changing environment, global competition, the nature of work made companies to realize the importance of employee satisfaction for the success of organization. Now-days the competitive advantage of most companies on global market lies in the ability to create a profit driven not only by cost efficiency, but by the ideas and intellectual know-how. The networked and knowledge-based environment made the intangible assets like skills, relations and reputations of highest value. Employee satisfaction is the pleasurable emotional state resulting from the appraisal of one’s jobs as achieving or facilities the achievement of one’s job values. It is a measure of workers contentedness with their job. Every industry has different business environment, different policies for employment and different compensation measures. With the objective to analyzing the influencing factors, best policies of job satisfaction and its impact on business growth, the author decided to investigate the level of employee satisfaction in six industries namely: INFOSYS, HCL, Technologies Tech Mahindra, Oracle Financial Services, Wipro and Tata Consultancy Services. The researcher prepared questionnaire for the employees and get it filled from 303 respondents from these industries. In order to find level of satisfaction among employees of different industries, it was subjected to T-test statistical tool for variance calculation. The study concluded with the statement that the HR policies are different in different industries. The way they are implemented in different organizations has a great impact on employee satisfaction and retention. 05 30 2020 1478 1486 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.A2554.059120 https://www.ijrte.org/portfolio-item/A2554059120/ Department of Chemical Engineering, Annamalai University, Annamalai Nagar B. Sundar* V. Saravanan Department of Chemical Engineering, Annamalai University, Annamalai Nagar M. Rajasimman Department of Chemical Engineering, Annamalai University,Annamalai Nagar. Toluene is a colorless and aromatic oily liquid primarily used in the petrochemical and polymer processing industries and has been used in this study as the target compound. Continuous experiments were performed in a biofilter on a laboratory scale, followed by a membrane reactor to monitor toluene as one single contaminant. This bioreactor device included a reactor with a packed bed and a membrane array. Pearl millet stacks and berl saddles have been used as packing material for the development of the attached microorganism. Toluene was efficiently treated, with toluene effluent concentrations held at less than 0.4 g m-3 and a Total Removal Efficiency (TRE) of more than 96 % achieved when fluctuating loads were faced by the packed bed reactor. The combined packed bed reactor system had a maximum RE of 93.8 g m-3 h-1, which was higher than the one obtained with the packed bed reactor alone. In this work the influences on gas membrane separation were also explored in the combined bioreactor and membrane fouling. 05 30 2020 1679 1683 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.A2556.059120 https://www.ijrte.org/portfolio-item/A2556059120/ Department of IT, MGIT, Hyderabad, India B. Swetha* A .V. L. Prasuna Department of IT, MGIT, Hyderabad, India B. Meenakshi Department of IT, MGIT, Hyderabad, India, With the increase in usage and availability of vehicles, finding an empty parking slot becoming very difficult in many public areas. So there is a requirement for a device that identifies empty slots in a parking place and also keeps the track of vehicles which are already parked very expertly. This task reduces human activity on the parking location in searching of empty slots and scheming the payment based on the timestamp i.e. how much time the vehicle is parked at the particular slot based on the use of parking place with the resource of money pockets. Some of the steps included in this functioning are vehicle identification, detection of empty slot and scheming of amount based on the time duration of parking. Vehicle identification is achieved with the use of RFID Tag, slot detection is also shown and amount calculation is done on the duration of parking. Here we are connecting all of the sensors to Raspberry pi to stumble on RFID Tag and deduct the charge from the cash wallet. 05 30 2020 1932 1936 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.A2562.059120 https://www.ijrte.org/portfolio-item/A2562059120/ Faculty of Industrial Management, Universiti Malaysia Pahang. Taofeeq D Moshood* A.Q. Adeleke Faculty of Industrial Management, Universiti Malaysia Pahang. Gusman Nawanir Faculty of Industrial Management, Universiti Malaysia Pahang. W.A Ajibike Faculty of Industrial Management, Universiti Malaysia Pahang. Rukayat .A. Shittu Faculty of Applied Social Science Universiti Sultan Zainal Abidin, Terengganu. Today's businesses are challenging what to call a new technological change. Technological advancements are going towards more enhanced internet-based method resolutions. This step is usually pointed to being Industry 4.0 and is supposed to hold the potential for new adaptable, independent products able to manage themselves. By modern technologies, nevertheless, there is additional demand for new skills and qualification demands on the workforce in the construction industry. Moreover, manufacturers or construction companies of today usually have obstacles with hiring newly qualified workers, particularly the younger one. Construction companies are looking to achieve Industry 4.0 would consequently have to maintain the development and education of existing workers while including attracting new workers. The paper objects are to explain what modifications that help achieve a sustainable of industry 4.0 in the construction industry, efficient and recognizing potential developments, understanding hazards connected with economics and supporting the simulation improvement. 05 30 2020 1627 1634 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.A2564.059120 https://www.ijrte.org/portfolio-item/A2564059120/ Department of Computer Science, Dravidian University, Kuppam, India. D. Mabuni* A new technique is proposed for splitting categorical data during the process of decision tree learning. This technique is based on the class probability representations and manipulations of the class labels corresponding to the distinct values of categorical attributes. For each categorical attribute aggregate similarity in terms of class probabilities is computed and then based on the highest aggregated similarity measure the best attribute is selected and then the data in the current node of the decision tree is divided into the number of sub sets equal to the number of distinct values of the best categorical split attribute. Many experiments are conducted using this proposed method and the results have shown that the proposed technique is better than many other competitive methods in terms of efficiency, ease of use, understanding, and output results and it will be useful in many modern applications. 05 30 2020 1607 1612 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.A2568.059120 https://www.ijrte.org/portfolio-item/A2568059120/ Department of Electrical, Electronics and Communication Engineering, Gitam University, Visakhapatnam, AndhraPradesh, India B.Vasantha Lakshmi Dr.K. Sridevi Professor EECE Department, Gitam University, Visakhapatnam.Gitam University, Visakhapatnam, Andhra Pradesh, India. Dr.D.Elizabath Rani Department of EECE, Gitam University, Visakhapatnam, Andhra Pradesh, India. Image segmentation is a process of identifying sub patterns in a given image. The purpose of skin cancer image segmentation is to represent it ina meaningful way for effectiveanalysis. Segmentation of skin cancer image is mostly used to detect the boundaries and objects present in a skin lesion. This approach describes the skin cancer image segmentation based on symmetrical threshold contour algorithm with similar thresholding values for segmentation of the accurate cancerous lesion. Skin cancer lesion shape and structure is the most important parameter in this method. In this paper, skin cancer image contour detection isbased on symmetrical thresholding algorithm using MATLAB soft ware. 05 30 2020 2390 2398 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.A2569.059120 https://www.ijrte.org/portfolio-item/A2569059120/ Head of the Department, Electronics and Communication Engineering, Christian College of Engineering and Technology, Oddanchatram, Tamilnadu, India. Dr T Yasodha Arun Balaji G PG Scholar, Department of Electronics and Communication Engineering, Christian College of Engineering and Technology, Oddanchatram, Tamilnadu, India Breast Cancer is a wide spread reason for the deaths of women in the world. Nowadays, CAD systems have become the most increasing interest in its detection. In this paper, a new computer-aided diagnosis method is introduced to help oncologists to classify it as benign or evil breast tumors in ultrasound. In the proposed model, bi clustering is done for feature acquisition and then dyadic transform is applied. Biclustering mining is used as a key to identify the regularity patterns in columns on the working out data, Biclustering mining is utilized as a key. At last, to identify the perfect combinations and put them into a strong classifier, AdaBoost learning is applied. Using a dataset the proposed method is evaluated validated and the results are compared with the results of existing methods. The results of the proposed model showed the best calculation, proving it to be effective in laboratory applications. 05 30 2020 2323 2327 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.A2571.059120 https://www.ijrte.org/portfolio-item/A2571059120/