bluuebunny/crossref_metadata_2025 huggingface dataset:
Migration of Chromium Through Black Cotton Soil Amended with Ground Granular Blast Furnace Slag
Authors:   Research Scholar, Department of Civil Engineering, BMSCE, Bengaluru India., B.T. Srinivasa , Shankara  ,   Department of Civil Engineering, Amrita School of Engineering, Bengaluru, Amrita Vishwa Vidyapeetham, India., Naik S. N. Maya ,   Professor, Dept. of Civil Engineering, BMS College of Engineering, Bull Temple Road, Bangalore-560019 India, Sivapullaiah P. V. ,   Pro Vice Chancellor, CMR Uni, Bengaluru Campus, (former Professor, Department of Civil Engineering, Indian Institute of Science, Bangalore
Published: December 2019

The aim of this work is to assess the suitability the locally available black cotton soil amended with industrial waste material such as blast furnace slag in the context of using them as liner materials. The black cotton soil (BCS) and Ground Granulated Blast furnace Slag (GGBS) are mixed in three ratios, 90:10, 80:20 and 70:30 and hydraulic conductivity of these mixtures have been tested using falling head method. The hydraulic conductivity of soil with 30% GGBS is the lowest and satisfies the hydraulic conductivity criteria of 10-7 cm/s or less for liner application. Soil column tests are conducted to determine the transport parameters of chromium through the optimized soil mixture. The transport parameters of chromium through optimized mixture was found to be diffusion coefficient D = 3.9x10-6 cm2/s and retardation factor R = 4.964. BCS with 30% GGBS mixture with a hydraulic gradient of 0.3 and can be used as liner to contain chromium ion as it gives a breakthrough time of more than 100 years for a liner thickness of 1m.
Performance and Emission Characterstics of Single Cylinder Diesel Engine using Transformer Oil and Pine Oil Blend with Butanol Additive
Authors:   Dean - Academics, Bharath Institute of Higher Education and Research, Chennai, Babu* Dr. R. Venkatesh , Ashok Killedar Prashant ,   Research Scholar, Department of Mechanical Engineering, Bharath Institute of Higher Education and Research, Chennai.
Published: December 2019

Reuse and recycling are better options to derive energy or value added products from waste substances and to minimize the disposal problems. Transformer oil is generally used as a coolant in welding transformers, power transformers and electromotive units. After a prolonged use in these devices, the transformer oil becomes waste and is disposed of. The disposal of used transformer oil causes an environmental pollution. However, the used transformer oil has properties that are similar to that of diesel fuel with a marginally higher viscosity and lower calorific value. The aim of the primary investigation is to reuse the used transformer oil as a possible source of energy to run a small powered, single cylinder, four stroke, and direct injection diesel engine with different compression ratios to study the performance and emission characteristics of used transformer oil. The results are analyzed and compared with diesel fuel operation.
Piston Failure Analysis on Four-Wheeled 1000cc Engine Cylinder Capacity
Authors:   Mechanical Engineering, Universitas Nasional, South Jakarta, Indonesia., Zayadi* Ahmad , Azman Novi ,   Electrical Engineering, Universitas Nasional, South Jakarta, Indonesia., Prasetyo Cahyono Heri ,   Mechanical Engineering, Universitas Nasional, South Jakarta, Indonesia., Sungkono  ,   Mechanical Engineering, Universitas Nasional, South Jakarta, Indonesia.
Published: December 2019

Pistons are one of the main components of a 1000 cc engine that functions as a pressure suppressor and a recipient of pressure combustion in the combustion chamber. In the examination of the 1000 cc sedan engine that has been operating for 30,000 hours found a rough sound on the engine and experienced loss compression on the cylinder block number 2. The purpose of the study was to obtain the factors causing the deformation of the piston 1000 cc sedan vehicles. The research method used is metallographic observation using ASTM E 3 and ASTM E 112, testing hardness using ASTM E 92 and SNI 19-0409-1989 and testing chemical composition using ASTM A 751. The results of research on piston damage can be seen that observation macrostructure proves that there is plastic deformation on the surface area of the piston material, the results of microstructure observation are known to occur microcrack on the top surface of the right side of the piston, there is no change in microhardness between the piston material in the deformed area with the deformed piston material hardness, piston material made of alloy Al-Si. In the area of the piston surface that experiences deformation, Mg2Si and Mg2Al3 compounds are formed, these compounds which cause microcrack on the piston's upper surface. Plastic deformation on the piston surface occurs due to a collision between the piston surface and the cylinder head due to the buildup of crust on the piston surface.
Strength Characteristics of Preformed Foam Concrete
Authors:   Assistant Professor, Department of civil Engineering, Aarupadai Veedu Institute of Technology, Paiyanoor., Kumar* R.sanjay , Nivetha C. ,   Assistant Professor, Department of civil Engineering, Aarupadai Veedu Institute of Technology, Paiyanoor., Parthiban D. ,   Assistant Professor, Department of civil Engineering, Aarupadai Veedu Institute of Technology, Paiyanoor., Vijayan D.S. ,   Assistant Professor, Department of civil Engineering, Aarupadai Veedu Institute of Technology, Paiyanoor.
Published: December 2019

The study deals with the usage of perforated foam of various percentages to that of coarse aggregate to produce light weight concrete. With the day to day increase in industries and civilization’s expansion it has become very much necessary to produce structures with proficiently lesser weight. Its usage has become more proficient in construction of building in earthquake prone areas. This experimental investigation deals with the study of strength parameters of light weight concrete by performing various strength test and its various behavior s such as compression, tensile and flexure are studied by adding preformed foam at various proportions of 0%, 2%, 5%, 10%, 20% and 40%. All these strength parameter test are performed on 7th day, 14th day and 28th day respectively from day of casting.
Personalized E-Learning System Based on User’s Performance and Knowledge: An Adaptive Technique
Authors:   Department of Computer Science and Engineering, Koneru Lakshmaiah Education Foundation, Vaddeswaram, AP, India., Sree* Patchava Ramya , Bhuvaneswari Tammisetty ,   Department of Computer Science and Engineering, Koneru Lakshmaiah Education Foundation, Vaddeswaram, AP, India., Reddy Vulchi Swapnika ,   Department of Computer Science and Engineering, Koneru Lakshmaiah Education Foundation, Vaddeswaram, AP, India., Kiran Jonnalagadda Surya ,   Department of Computer Science and Engineering, Koneru Lakshmaiah Education Foundation, Vaddeswaram, AP, India.
Published: December 2019

The Learning style of every individual is unique. We require some adaptive and personalization techniques to extract required learning content from enormous content available. Here we build up an adaptive learning approach so that the personalization is conceivable. An adaptive learning system is developed by considering learner’s knowledge. We develop this by considering a specific domain. It takes the individual’s performance into consideration and modifies constantly by responding with student specific learning content. We categorize learners based on the initial assessment conducted. Based on the results obtained and on his/her choice of content displayed. Learner’s performance is observed and modelled, adaption is done accordingly through continuous appraisals conducted after each module and tweaked during interactions. The essential goal of this paper is to incorporate the revelation of ideal settings, where the students can improve their learning capacities.
Strength Properties of Tyre Rubber Concrete
Authors:   Research scholar of Civil Engineerieng Department, Hindustan Institute of Technology and Science, Padur, Chennai, Tamil Nadu, India & Assistant Professor, Civil Engineerieng Department, Elitte College Of Engineering, Sodepur, Kolkata, India, Banerjee* Sulagno , Rooby Jessy ,   Professor of Civil Engineering Department, Hindustan Institute of Technology and Science, Padur, Chennai, Tamil Nadu, India,
Published: December 2019

Due to the fast development in vehicle industry, utilization of tyre is expanding everyday and there is no reuse of the equivalent to diminish the natural contamination. The transfer of waste tyres is confronting serious issues in India. The developing issue of waste tyre transfer in India can be eased if new reusing courses can be found for the surplus tyres. It is evaluated that 1.2 billions of waste tyre rubber delivered all inclusive in a year. It is assessed that 11% of postconsumer tyres are traded and 27% are sent to landfill, accumulated or dumped wrongfully and just 4% is utilized for structural building ventures. Subsequently endeavors have been taken to distinguish the potential utilization of waste tyres in structural building ventures.In this present study, cubes are casted of M25 grade by replacing 5, 10, 15 percent of tyre rubber aggregate with coarse aggregate and compared with regular M25 grade concrete. Properties of fresh concrete like workability, compressive strength,split tensile strength,flexural strength of hardened concrete were identified. The aim is to investigate the optimal use of waste tyre rubber as coarse aggregate in concrete composite.
Brain Computing Interface using Deep Learning for Blind People
Authors:   P.G. Department of ComputerScience, The New College, Chennai., Chakravarthy* V. J. , Seenivasan M. ,   Department of mathematics, Annamalai university, Annamalai Nagar, Tamilnadu, India.
Published: December 2019

The developing area of research in Brain Computer Interface (BCI) is used to enhance the quality of human computer applications. It can be decoding individuals by the computer device signals converted into commands between human’s neural world and outer physical world. The brain use bodies under some circumstances to interact with the external world and also brain can be depressed of their sensing abilities namely blindness or deafness. In this study, analyze of brain’s behavior using BCI for blind people in spatial activity. The common beliefs in blind people using other senses by compensate their lack of vision. In case of BCI system can able to understand the brain’s activity even in very difficult challenge. Therefore we propose the data mining technique. In this research work, deep learning approach based on the framework of Convolution Neural Networks (CNN) with Long Short-Term Memory (LSTM) can help us to discover their brain’s activity for blind people.
Obscure image classification and restoration using Support Vector Machines
Authors:   Department of Electronics & Communication Engineering, C. S. Patel Institute of Technology, CHARUSAT, Anand, India., Panchal* Pradip , Mewada Dr. Hiren ,   Department of Electronics & Communication Engineering, C. S. Patel Institute of Technology, CHARUSAT, Anand, India.
Published: December 2019

A restoration and classification computation for blurred image which depends on obscure identification and characterization is proposed in this paper. Initially, new obscure location calculation is proposed to recognize the Gaussian, Motion and Defocus based blurred locales in the image. The degradation-restoration model referred with pre-processing followed by binarization and features extraction/classification algorithm applied on obscure images. At this point, support vector machine (SVM) classification algorithm is proposed to cluster the blurred images. Once the obscure class of the locales is affirmed, the structure of the obscure kernels of the blurred images are affirmed. At that point, the obscure kernel estimation techniques are embraced to appraise the obscure kernels. At last, the blurred locales are re-established utilizing nonblind image deblurring calculation and supplant the blurred images with the restored images. The simulation results demonstrate that the proposed calculation performs well.
Identification of Best Indian Entry–Level Segment SUV through TOPSIS Method
Authors:   Assistant Professor, Department of CEA, GLA University, Mathura, India., Govil* Nikhil , Tripathi Dr. Aprna ,   Assistant Professor, Department of CEA, GLA University, Mathura, India., Kumari Varsha ,   Assistant Professor, Department of CEA, GLA University, Mathura, India.
Published: December 2019

Every car owner wants comfort, power, and efficiency with his/her car. As per the latest trend in the Indian automobile sector, buyers are more interested in SUV (Sport Utility Vehicle) or Micro SUV cars due to several reasons. It’s observed that while driving a car, it is advantages if the driver sits at a higher height as compared with hatchback & sedan cars. This is one of the most common reasons for the increasing popularity of SUVs in India nowadays. Due to these reasons more and more companies are launching new cars in this segment to attract their buyers. On the one hand, customers are having many options to compare but on another hand, they are perplexed to determine which SUV is best for them as per their requirements, purpose & budget. In such a situation, buyers may look for the TOPSIS method which is a selection procedure technique. TOPSIS is based on the concept that the chosen alternative should have the shortest geometric distance from the positive ideal solution (PIS) and the longest geometric distance from the negative ideal solution (NIS). In this paper some SUV cars are considered with different attributes and the TOPSIS method is applied to determine the best car for the buyer.
Employee Engagement: A Practice That Creates Endurance for Retaining Employees of Service Sector
Authors:   Assistant Professor:G.L.Bajaj Institute of Management and Research Greater Noida., Joshi* Anurag , Tiwari Sarvendu ,   Assistant Professor: G.L.Bajaj Institute of Management and Research Greater Noida.
Published: December 2019

Employee Engagement is an essential practice that is highly valuable for every organization to get capture and retain a competitive advantage as they existing in highly competitive environment. The practice involves a matrix of several drivers of engagement including career management interventions, belongingness, intellectualness of job, reinforcement and integration from organization and autonomy that fosters employee commitment towards organizational common goals with fully involvement. Several factors as high motivation, Intense training & development modules, orientation etc. That facilitates in engaging employee with enthusiasm. Practical Implications: The paper may be useful in getting attention of employees in involving them fully in job they handled and increasing their performances and also assists organization for increasing their retention power of productive employees and sustaining advantage.
Detection of Diabetes using Biosensors
Authors:   Department Of Computer Science And Engineering, Koneru Lakshmaiah Education Foundation, Vaddeswaram, Ap, India., Venkateswarulu* B. , Y Nandita. ,   Department Of Computer Science And Engineering, Koneru Lakshmaiah Education Foundation, Vaddeswaram, Ap, India., Hitesh M. ,   Department Of Computer Science And Engineering, Koneru Lakshmaiah Education Foundation, Vaddeswaram, Ap, India., Krishna M.Vamsi ,   Department Of Computer Science And Engineering, Koneru Lakshmaiah Education Foundation, Vaddeswaram, Ap, India.
Published: December 2019

Diabetes is the widespread disease in the world. During the last few decades there is a huge increase in the number of diabetic patients. Biosensor is a device which is used to detect diabetes. It converts biological reading into electrical pursuing that helps the patients to predict their diabetic levels. It consists of a biological recognition element and a chemical sensor. They are high-technology tracking tools that measures sugar levels in a quick, highly sensible fashion. We mainly focus on the glucose-oxidase biosensor which uses machine learning techniques and regression methods. Detection of diabetes can be done in many forms like with a radiofrequency biosensor chip, optical fiber biosensor, micro-fluidic biosensor. Optical biosensor is placed in contact lens to detect glucose levels within the tears and give the accurate prediction. There were some early versions of glucose-sensing devices. There are different existing techniques for the detection. But the preferred method is using the continuous glucose observing system. This method offers a good control of diabetes by using real time data. However, there are few provokes identified with the accomplishment of precise and dependable glucose observing. Further consistency and improvements in the development of biosensors to meet their goals are required.
Leveraging Consumers’ Showrooming Behaviour – A Supply Chain Perspective
Authors:   MBA Depratment, SSN School of Management, Kalavakkam, Chennai, Tamilnadu, India, Haridasan* Vani , Muthukumaran Kavitha ,   MBA Depratment, SSN School of Management, Kalavakkam, Chennai, Tamilnadu, India,
Published: December 2019

With the mushrooming of new technologies and changing customers' shopping habits, it becomes absolutely necessary to understand the reasons and appreciate the customers' needs and preferences in an optimal way. Showrooming and Webrooming are the new terms which are making rounds in the prevailing multi-channel customer centric business model. In both these cases, consumers can interact with retailers across channels anytime, anywhere and at their convenience. Due to adversity of products and brands, shoppers of today hardly make an instant purchase decision. They would rather search and evaluate products either online or in-store. Though intense research seems to be happening with the focus on identifying ways to curb this behaviour, it has actually become a challenge to the back-end players of the supply chain, mainly the physical distribution. This study attempts to understand those dimensions of service quality of physical distribution; the dimensions of service loyalty that has an influence on showrooming behaviour of consumers’ of electronic goods in order to determine those factors of physical distribution service quality that has influence on service loyalty. The study is focused on the customers of electronic goods like mobiles, laptops and other electronic accessories.
A Novel Voltage Regulation Technique using Fractional Order PI Controller for A Three Phase Grid Connected Photovoltaic System
Authors:   Asst. Prof, EEE Dept, GMRIT, Rajam, Kumar M.Vinay , Salma U. ,   Assoc. Prof, EECE Dept, GIT, GITAM University, Visakapatnam
Published: December 2019

The integration of distributed generations (DG’s) to the grid has led to number of challenges apart from the advantages, one of the challenge associated is the voltage regulation. Photovoltaic (PV) system as a DG is considered as it has a better edge when compared to the other DG’s. The application of PV system to the grid requires extra compensating devices to mitigate the voltage regulation issues. A novel voltage regulation strategy for three phase grid connected PV system using fractional order proportional plus integral (FOPI) controller is proposed in this paper. The modelling&analysis of FOPI controller along with the integer orderproportional plus integral (IOPI) controlleris presented in this paper. FOPI controllers are designed in Matlab using FOMCON toolbox (Fractional order Modeling and Control).The simulation is consequently carried out in the Matlab/Simulink environment for both the controllers with resistive loads, resistive & inductive loadsand resistive, inductive & capacitive loads.The FOPI controller outperforms IOPI controller, results of simulation reflectthat controller using FOPI gives better performancewhen compared with the IOPI controller. The effectiveness ofthe FOPI controller confirms the authentication and the simulation results are deliberated for all the different loads.
Neighbourhood Degree Based Index for Graph Operations Related To Composition
Authors:   (Assistant Professor, Dr.N.G.P.Arts and Science College,, Manimekalai* S. , Mary U. ,   Associate Professor & Head, PG & Research department of Mathematics, Nirmala College for Women (Autonomous),Coimbatore.
Published: December 2019

In this paper, we have investigated Zagreb index, Findex and neighbourhood degree based index for composition of two connected graphs in which one graph is obtained by using a new graph operation and other is a simple connected graph.
The Behavior of Household Investors in Various Financial Instruments
Authors:   Commerce faculty, Vivekananda College of Commerce, Ahmedabad, India., Mital* Bharadia
Published: December 2019

This study focused on understanding the behavior of households as investors in various financial instruments which are traded in markets regulated by SEBI and other instruments also. As investors, the households evaluate a variety of options available to them including those traded in formal markets under regulation. To this extent, the study has looked at a range of financial saving instruments. The study is based on random sampling of 100 household respondents of Rajkot city. It is estimated that there are 24.5 million investors in India. The study points to the relatively low rates of participation by the households in the securities market, though there has been growth in the investor population over the past 10 years. In this study there is deeper analysis of the economic well-being of the Indian population flowing through socio-economic and demographic indicators at the level of the household (e.g. rural–urban, sector of employment, major source of income, state of residence, social group), and chief earners (their occupation, education and age, etc.). These have significant bearing on earning, spending and saving.
Brain Waves Computation using ML in Gaming Consoles
Authors:   Assistant Professor, Dept. of CSE, S V College of Engineering, Tirupati, India., Reddy* A.Basi , Jyothsna Agarala ,   Assistant Professor, Dept. of MCA, S V College of Engineering, Tirupati, India., Swathi Dr.R. ,   Associate Professor, Dept. of CSE, S V College of Engineering, Tirupati, India., Reddy B.Surendra ,   Assistant Professor, Dept. of CSE, S V College of Engineering, Tirupati, India.
Published: December 2019

ENCEPHALON ELECTRONIC BRAIN COMPUTING(EEBC) is a solution for a newer approach of establishing communication with the system and invasively controls devices by the user with his/her capabilities. BCI is a framework that does not stress physical activity, In fact develops a regulation by corroborating contact with human brain waves and takes these waves as commands to perform operations in system by using the method EEG (electroencephalogram) cap. Moreover, BCI terminology is suitable for substantiate involutions in hospital field, gaming field and fields capable in usage of brain waves. Physically disabled people with loss of functioning in muscular activity exhibit to use BCI technology to perform commands in gaming origins and evince in other basis of respective fields.
Genomic and Proteomic Semantic Annotations Integrating Cross Ontology
Authors:   Dept. of Computer Science and Technology, Aarupadai Veedu Institute of Technology, Vinayaka Missions Research Foundation Chennai, India., K* Karthik , Rajaprakash S. ,   Dept. of Computer Science and Technology, Aarupadai Veedu Institute of Technology, Vinayaka Missions Research Foundation Chennai, India., S R.jaichandran ,   Dept. of Computer Science and Technology, Aarupadai Veedu Institute of Technology, Vinayaka Missions Research Foundation Chennai, India., Alam Fayas ,   CSE, Aarupadai Veedu Institute of Technology, Vinayaka Missions Research Foundation Chennai, India, Mathew Cris ,   CSE, Aarupadai Veedu Institute of Technology, Vinayaka Missions Research Foundation Chennai, India
Published: December 2019

Considering the intricate biological phenomena that demand solving the difficult queries on biomedical- based on biomolecular content in sequences, these are sent via various proteomic and genomic semantic annotations that are distributed in many heterogeneous format. With those knowledge and dispersion various biologic scientist's skill of enquiring various problems and solving them continuously which becomes tedious work for them. To put an end to this problem I developed a software based architecture which creates and maintain a GPKB -Genomic and Proteomic Knowledge Base (GPKB), this combines various important gene diseases and its relevant information. The main problem of such discrete information. The answer to this problem is simple, since the software uses as modular, flexible and a big multilevel schemed data which is based on socializing the combined features of data and its abstraction. It also sets up a trial method for deleting all the combined data that have its structure, data and its numbers. Such methods will also provide consistency, quality and tracking methodologies for all combined data.
Enhanced Resource Allocation and Workload Management using Reinforcement Learning Method for Cloud Environment
Authors:   Information Technology, Kongu Engineering College, Perundurai, Erode, TamilNadu, India., Suresh* P , Keerthika P ,   Computer Science and Engineering, Kongu Engineering College, Perundurai, Erode, TamilNadu, India., Logeswaran K ,   Information Technology, Kongu Engineering College, Perundurai, Erode, TamilNadu, India., Devi R Manjula ,   Computer Science and Engineering, Kongu Engineering College, Perundurai, Erode, TamilNadu, India., Sangeetha M ,   Computer Science and Engineering, Kongu Engineering College, Perundurai, Erode, TamilNadu, India.
Published: December 2019

Cloud computing is a delivery model of IT resources such as computing servers, storage, databases, networking and software over the Internet. It offers the resources as services based on demand with more faster, flexible and economies of scale. The major challenges in the cloud computing are resource allocation and workload management due to the scalability of the cloud users and the services deployed in it. Even though there are various approaches available to manage workload and resource allocation, unfortunately most of them fail to mange it properly. This paper proposes a Reinforcement Learning based Enhanced Resource Allocation and Workload Management (RL-ERAWM) approach to increase the performance of cloud with large number of tasks and users. It implements the Q-Learning approach which effectively considers arrival rate of the requests and workload of the virtual machine. Experimental results prove that the proposed method alleviates the performance of task scheduling and workload management process compared with other approaches in terms of response time, makespan and virtual machine utilization.
Benefit and Challenge of Blockchain Technology in Pharmaceutical Supply Chain Management
Authors:   Information Systems Department, School of Information Systems, Computer Science Department, BINUS Graduate Program – Doctor of Computer Science, Bina Nusantara University, Jakarta, Indonesia., Surjandy*  , Meyliana  ,   Information Systems Department, School of Information Systems, Bina Nusantara University, Jakarta, Indonesia., Fernando Erick ,   Information Systems Department, School of Information Systems, Bina Nusantara University, Jakarta, Indonesia., Oktriono Kristianus ,   Language Center, Tourism Destination, Faculty of Humanities, Bina Nusantara University, Jakarta, 11480, Indonesia
Published: December 2019

Pharmaceutical Industry Supply Chain Management (SCM) has been an invigorating research topic because the industry strives to explore innovative ways to secure the medicine distribution and to ensure the authenticity of medicine consumed by the patients. A surge in the counterfeit drug has called an urgent effort for the industry to eradicate. In this scope, the fake medicine harm serious health problem for patients. To cope with this urgency, Blockchain offers the new innovative technology that captures the security and accountability in the financial industry for decades. In this spectrum, the new generation of blockchain with smart contract feature enables the utilization of blockchain in an enterprise setting such as Supply Chain Management Systems. In this point, this study explored contemporary for benefit and challenge blockchain adoption based on Systematic Literature Review methodology. At a closer look, the research indicates the impact of the Blockchain Adoption Technology in Pharmaceutical Industry SCM in for four aspects, i.e. supplier, producer, logistic/distributor, and customer. In a specific range, this research explores significant factors from ten leading journals (one thousand two hundred and fourteen papers) and selects solely eighteen relevant documents. The examination reveals the critical research development of blockchain technology adoption in Pharmaceutical SCM and twenty-three essential factors.
A Short-Term Traffic Flow Prediction to Control Traffics in Large Scale Transportation using Internet of Things
Authors:   Assistant Professor/Programmer, Department of Computer and Information Science, Annamalai University, Chidambaram, India,, Saravanan* S. , Venkatachalapathy K. ,   Professor, Department of Computer and Information Science, Annamalai University, Chidambaram, India
Published: December 2019

Traffic congestion is the key problem that occurs across urban metropolises around the world. Due to the increase in transportation vehicles the fixed light time on traffic signals not able to solve the traffic congestion problem. In this paper, First, we develop an IoT based system which is capable of streaming the traffic surveillance footages to cloud storage, then the vehicle count is recorded every 30 sec interval and updated in the traffic flow dataset. Second the traffic flow is predicted using our CNN-LSTM residual learning model. Finally, the predicted value is classified and traffic density at each road section is identified, thereby passing this density value to green light time calculation to set an optimal green time to reduce the traffic congestion. The traffic flow dataset, China is used for training and testing to forecast the short time traffic flow across the road section. Experiment results shows that our model has best accuracy by lowering the RMSE value.
Design of A Solar MPP Charge Controller using Mamdani FIS with Generalized Bell-Shaped Membership Function
Authors:   Assistant Professor, Department of Electrical and Electronics Engineering, Gaya College of Engineering, Sri Krishna Nagar, P.O Nagari Yana, Via Buniyadganij, Pin - 823003, Gaya, Bihar, India, Mahto* Kailash Kumar , Saha Saptadip ,   Ex. Asst. Professor, Department of Electrical Engineering, National Institute of Technology Agartala, Jirania, Agartala-799046, West Tripura, India., Das Priyanath ,   Department of Electrical Engineering, National Institute of Technology Agartala, Jirania, Agartala-799046, West Tripura, India.
Published: December 2019

This research work proposes an innovative control technique for monitoring the maximum power point of the standalone photovoltaic system fast and precisely at variable solar cell temperature and insolation. In this work, the method uses a Mamdani FIS based fuzzy logic controller which uses bell shaped membership function to track MPPT of the off grid solar module. A sampling process is used to measure the PV array power and voltage that decides an optimal increment of sample which is required to get the optimal operating voltage that permits maximum power tracking. This method provides high accuracy and reliable result around the optimum point. This proposed controller has shown a better performance compare to existing methods with a power conversion efficiency of ~100%. Different steps of designed controller with the proposed method has been shown along with its simulation.
Effectiveness of Retail Marketing-Mix on Consumer Patronage: A Performance Assessment of Selected Supermarkets
Authors:   Department of Management Technology, Shri Ramdeobaba College of Engineering and Management, Nagpur, India, Khan* Amir H , Bilal Mohammad ,   Department of Management Technology, Shri Ramdeobaba College of Engineering and Management, Nagpur, India, Agrawal Mayank V ,   Department of Management Technology, Shri Ramdeobaba College of Engineering and Management, Nagpur, India
Published: December 2019

Retail market in India is becoming bigger with the multinational and national brands making rapid changes in order to survive in the highly competitive environment. The changes are not limited to the type of retail format but include all the factors which can improve consumer buying experience. Therefore, the current study seeks to develop a conceptual framework for analyzing the impact of retail marketing mix such as product, services offered, brand, customer perception, customer attitude, promotional measure of the selected mall on its customer satisfaction, patronage intention, patronage behavior and word of mouth using primary data in Nagpur city. The study measure the performance of selected malls and retail outlets situated in Nagpur city. The nature of research is descriptive. A structured questionnaire was designed and distributed among 200 respondents, who have made recent purchases from supermarket operated in Nagpur through convenience sampling. Data was collected by visiting supermarkets multiple times on different timings incorporating more and less crowded situations. Cross tabulation, ANOVA, regression and correlation tests are applied to know the statistical significant relationship among variables.
Reaching Out to the World Via Campus Wide Implementation of Moocs in Indian Education System
Authors:   department of I.T, Amity University, Noida, Singh* Dr. Krishna Kumar , Rohatgi Mr. Sachin ,   department of finance, Amity University, Noida
Published: December 2019

Authors touched on the issues and prospects of MOOCs integration in Indian education system via campus wide implementation. First part of paper, critically examine the education system and MOOCs in India. Next part of the paper throws light on campus wise implementation of MOOCs in India. Authors critically examine relevance of MOOCs in Indian education system and touch various issues of what role Indian society play in the implementation of MOOCs did. Next part of the paper focuses on the hurdles of MOOCs implementation in India. In the last part, authors discuss about future prospects of MOOCs in India and how MOOCs can train the teachers and how teachers can effectively deliver the quality education.
Directions of Enhancement of the Competitiveness of National Economy Agricultural Sector
Authors:   Department of Business Economics and Human Resource Management, Yuriy Fedkovych Chernivtsi National University, Chernivtsi, Ukraine., Lopatynskyi* Yurii , Melnyk Oleg ,   Department of Business Economics and Human Resource Management, Yuriy Fedkovych Chernivtsi National University, Chernivtsi, Ukraine., Sybyrka Liudmyla ,   Department of Business Economics and Human Resource Management, Yuriy Fedkovych Chernivtsi National University, Chernivtsi, Ukraine., Melnyk Anzhela ,   Department of Business Economics and Human Resource Management, Yuriy Fedkovych Chernivtsi National University, Chernivtsi, Ukraine., Kobelia Zoriana ,   Department of Business Economics and Human Resource Management, Yuriy Fedkovych Chernivtsi National University, Chernivtsi, Ukraine.
Published: December 2019

The article provides in-depth theoretical and methodological fundamentals, methodological approaches and develops practical guidelines how to increase competitive ability of the agricultural sector of the Ukrainian economy. It also provides economic essence of the competitive ability of the agricultural sector, defines methodological approach as to diagnosing a general level of competitive ability of the agricultural sector, aimed at analyzing intersectoral and intrasectoral competitiveness of the economic sector. The article analyzes current state of the competitiveness determinants of the agricultural sector of Ukraine, analyzes its general competitive ability in inter- and intrasectoral dimensions. It provides recommendations as to improving system for the state regulation of developing competitiveness of the agricultural market. Suggested sectoral and structural matrix of the state regulation of developing agricultural sector competitiveness of the domestic economy allows us to segregate priority directions of the state regulation so to contribute to competitiveness increase based on sectoral and segment approaches. The article justifies perspective transformations of organizational and legal forms of management of agrarian products manufacturers, which contribute to establishment of competitive structure of the agricultural sector of the Ukrainian economy and increase of its competitiveness level in general.
Enterprise Architecture Repository to Support the Company IT-Strategic
Authors:   Information Systems Department – School of Information Systems, Bina Nusantara University, Jakarta, Indonesia., Pujadi* Tri , Wihendro  ,   Information Systems Department - School of Information Systems, Bina Nusantara University, Jakarta, Indonesia.
Published: December 2019

The objective of this study is to identify the role of information technology in companies. The use of IT should create a synergy between business strategies, business processes and technologies to achieve the vision, mission and objectives of the company, and to offer excellence in the future. For this reason, the study uses the EA framework, where there are artifacts that are stored digitally in the repository. This study uses the EA implementation method when the main points of the EA development steps are implemented. The results achieved are the integration of new applications that are expected to be properly implemented so that companies can read their strategies to deal with competitors. The conclusion is that the proposed application can help the company achieve its vision, mission and objectives. And all business processes can be managed effectively and efficiently so that the company can compete with its competitors today and in the future.
Feature Extraction of Iris and Palmprint Biometric System using Dwt
Authors:   ECE department, Vardhaman College of Engineering,Hyderabad, India., Reddy* K.Sripal , Lakshmi A.Vijaya ,   ECE department, Vardhaman College of Engineering,Hyderabad, India.
Published: December 2019

Much work is done on Iris Recognition, since few years. Many cases discussed about performance in view of image capturing and recognition. Daugman work is the most important related to iris biometric in early research. It is fair to say, it is base model for iris biometric. Almost the available iris systems are based on this work. A palm print is image of the palm area of a hand. It is either an image taken online or offline. It is one of the most familiar and promising biometric model for personal identity verification. It is tough task to differentiate lines and wrinkles without explicit definition. depends on the thickness and position of some key points we can define principal lines. In our work, we are taken the principal line magnitude is less than or equal to 1. we cannot consider broken lines. If it is the case broken point is treat as last point.
Transformation of Managerial Innovations in Conditions of Digitalization of Market Relations
Authors:   Department of Marketing and International Management, Oles Honchar Dnipro National University, Dnipro, Ukraine, Khaminich* Svetlana , Broshkov Mykhailo ,   Department of Physiology, Biochemistry and Microbiology, Odessa State Agrarian University, Odessa, Kuznietsov Eduard ,   Department of Management and Innovations, Odessa I. I. Mechnikov National University, Odessa, Ukraine, Ptashchеnko Olеna ,   Marketing and Corporate Communications, Simon Kuznets Kharkiv National University of Economics, Kharkiv, Ukraine, Milcheva Viktoriia ,   Department of Marketing, Business and Trade, Odessa National Academy of Food Technologies, Odessa, Ukraine, Boiko Olga ,   Accounting and Audit Department, Odessa National Economic Universit, Odessa, Ukraine
Published: December 2019

To date, the changes provoked by the digital economy have affected all industries, from the growing interest in cryptocurrencies, developments in the field of financial technologies, the Internet of things (IoT), intuitive programming, online education and significant progress in gene therapy. Management as a science of management also undergoes innovative changes, turning into a "digital" reality. Production management is implemented through ERP systems that allow you to remotely reconfigure the production line, track deviations in the use of materials, etc. Other types of requirements are also imposed on personnel management, such as the possession and application of emotional intelligence, determined by the person's ability, in this case, the manager, to recognize emotions, understand the intentions, motivation and desires of other people, and the ability to manage their feelings and emotions of other people in order to solve practical problems. Collaboration with freelancers and working with an outsourcing pool allows you to enter the global virtual labour market and attract the best talents on a worldwide scale. All of the above tasks can be attributed to the category of a more high-tech, high-tech level than standard management decisions. To move to this "new" level, significant modernization of both technologies and methodological approaches to the system of managerial innovations is required. The article describes the main types of managerial innovations, offers methodologies for assessing the quality of management, and analyzes the impact of the introduction of individual tools at leading enterprises and outsiders on their effectiveness and competitiveness in the digital economy.
Improved Method of OCT Image Segmentation for the Detection and Classification of Retinopathy Diseases
Authors:   Research Scholar, Department of Electronics and Instrumentation Engineering, Annamalai University, Chidambaram-608002, India, Devi M* Saya Nandini , S Santhi ,   Department of Electronics and Instrumentation Engineering, Annamalai University, Chidambaram-608002, India.
Published: December 2019

Image Segmentation is the process of dividing an image into regions or objects for the purpose of extracting useful information. It plays vital and dominant role in medical image analysis. OCT is a high speed and non-invasive method to determine three dimensional images of retina. This paper presents an improved method of automated OCT image segmentation in order to detect and classify Retinopathy diseases. Discrete wavelet transform (DWT) is a multiresolution approach and is widely used for OCT image segmentation. K-Means Cluster (KMC) approach is popular among researchers that offers better results for extracting the features for image segmentation. This work compares the segmentation process based on DWT with KMC and presents a better segmentation method comprising of K-Means Cluster with Genetic Algorithm Optimization (KMC-GAO) that identifies cluster centroid for obtaining the improved image segmentation performance of an OCT image. The performance metrics such as Structural Content (SC), Rand Index (RI), Variation of Information (VOI) and Global Consistency Error (GCE) are evaluated for all these segmentation techniques and it is observed that KMC-GAO segmentation offers better result than DWT method and KMC approach.
Deficiency and Sufficiency of Critical Factors Greatly Affect Attrition and Leverage Retention in IT Companies) –Madurai District, Tamilnadu, India.
Authors:   Associate Professor, Department of Management Studies, Bharat Institute of Engineering and Technology, Hyderabad, India, Bala* Dr. V. B. Devi
Published: December 2019

The IT sector is the backbone of service sector in Indian economy and brings significant foreign revenues which boost our economy. Even during the economic turmoil over the globe, particularly in developed countries, Indian IT sector came out successfully managing the entire economic imbroglio. Tamil Nadu, particularly, Chennai is considered to be one of the biggest IT hubs in India having presence of very big IT companies. The availability of skilled employees with cheap labor cost in Tamil Nadu is an important reason. Given the rosy picture of IT sector, it is bound to have problems. High attrition in the IT industry has always been the greatest concern and a subject of considerable analysis and debate. Organizations use different methodologies for calculating the attrition rate. HR experts felt that it is a known factor that attrition calculation is grey area which does not depict the true picture, while a few techniques are common however there are no proven theories yet. Further, the approach to this calculation might vary from organization to organization. At the same time the rate of attrition is also felt in these companies. The study is conducted on Tier II cities like Madurai, and Coimbatore and employee retention is also felt in the IT companies. In this context, the researchers, attempted to decipher the reasons for attrition in IT companies situated in Madurai district. In order to study the situation, 55 IT companies in Madurai district were taken as global population and 300 samples were identified through Simple Random sampling method. Eleven critical factors with 92 predictors were selected. The results from the statistical analysis showed that all the eleven CFs were statistically significant and has close association with the employee attrition and retention process in IT companies in Madurai.
Relationship Marketing: Impact on Bank Customers’ Satisfaction
Authors:   Research Scholar,Business School KoneruLakshmaiah Education Foundation, Vaddeswaram, AP, India., Chatterjee* Deboshree , Kamesh AVS ,   Professor,Business School, KoneruLakshmaiah Education Foundation, Vaddeswaram, AP, India
Published: December 2019

In a country, banking sector servers as the foundation on which the pillars of economic growth and development can be constructed. With the major reforms in banking sector, the scenario of bank market has been changed. Target market of banking sector has become highly competitive, dynamic and fragmented. Hence, there is a need for a shift from the transactional marketing strategy to relationship-based marketing strategy in all the banks. This study reviewed the conceptand need of relationship marketingin banks andattempts to identify significant dimensions of relationship marketing and their impact on customer satisfaction. The paper concludes on the basis of extensive literature review thatrelationship marketing dimensions like quality service, tailored products, communication, trust, commitment, empathy, social bonding, financial bonding, cooperation, andtechnology should be taken into serious consideration by banks to enhance the level of customer satisfactionwhich in turn increases customer loyalty and retention rate.Consequently, both the parties get mutual benefits.