bluuebunny/crossref_metadata_2025 huggingface dataset:
Medical Imaging – Gastroenterology- A Literature Assessment
Authors:   Department of Computer Science & Engineering, Research Scholar, Koneru Lakshmaiah University, Vijayawada, India., Eedupuganti* Mrs. Sirisha , Mishra Dr. Pragnyaban ,   Department of Computer Science & Engineering, Koneru Lakshmaiah University, Vijayawada, India.
Published: May 2020

The present day life styles are changing the food habits of the human beings by force and these food styles are leading towards problems related to health care in particular. Because of the dynamic changes, the impact of the health is being deteriorated and many diseases are therefore getting triggered to the mankind. Among the various diseases, gastroenterology related diseases are being growing exponentially because of the in healthy food styles. This indirectly leading towards diseases in particular to liver and pancreas. Many researchers and eminent practitioners in the field of domain are experimenting to compact the disease from further complications. The complications include liver cancer, enlargement of liver, shrinkage of liver, pancreas problems which eventually leads to diabetic diseases. The present article aims at bringing out the different methodologies and techniques that are developed by the eminent researchers to highlight the state of work in the present domain.
A Preliminary Diagnostic Technique from Iridology for Heart and Lung Disorders
Authors:   Assistant Professor, Department of Electronics and communication Engineering, Sri Ramakrishna Institute of Technology, Coimbatore., mansingh* Benson , Indhu  ,   UG Scholar, Department of Electronics and Communication Engineering, Sri Ramakrishna Institute of Technology, Coimbatore., Benisha  ,   UG Scholar, Department of Electronics and Communication Engineering, Sri Ramakrishna Institute of Technology, Coimbatore., Bharathi  ,   UG Scholar, Department of Electronics and Communication Engineering, Sri Ramakrishna Institute of Technology, Coimbatore.
Published: May 2020

The major aim of any diagnosis method is early detection and prevention of disorders. This can be possible by several advanced methods and one such health disorder cure is using Iridology. This work can help a health practitioner to study the iris of the eye and to identify the presence of abnormalities say heart disorders, Lung disorders in a human body. This is achieved by developing image processing algorithms that includes pre processing, image segmentation, feature extraction and classification using hybrid algorithms. This work can be used as preliminary diagnosing tool to identify the abnormalities present in the body. Images are acquired using 12MP USB iroscope iris analyser model iris camera to test the developed algorithm and validated from the real time data that will be collected from health centres and hospitals.
Microstructure and Mechanical Properties of Welded Joints of AA6061-T6 Alloy by Cold Metal Transfer Method
Authors:   Mechanical Engineering, Sri Krishna College of Engineering and Technology, Coimbarore, India., Srinivasan* V.P. , Balamurugan S. ,   Mechanical Engineering, Sri Krishna College of Engineering and Technology, Coimbarore, India., Arulvalan Abhilash ,   Mechanical Engineering, Sri Krishna College of Engineering and Technology, Coimbarore, India., Devaraj B. ,   Mechanical Engineering, Sri Krishna College of Engineering and Technology, Coimbarore, India., Mowyanivesh P. ,   Mechanical Engineering, Sri Krishna College of Engineering and Technology, Coimbarore, India., Mukesh S. ,   Mechanical Engineering, Sri Krishna College of Engineering and Technology, Coimbarore, India, Raghunandan C. ,   Mechanical Engineering, Sri Krishna College of Engineering and Technology, Coimbarore, India.
Published: May 2020

CMT bonding process were done on the 2 plates of 5 mm thick AA6061-T6 alloy by means of ER 4043 wire-electrode of Φ1.2 mm as the filler metal. This study concentrates the impact of a PWHT on the micro-structural and mechanical characteristics of an AA6061-T6 alloy specimen bonded by means of GMAW and by CMT. The welded samples here separated as as-welded and PWHT samples. The ASTM standard E8M-04 was used for cutting all samples in order to get the tensile strength and to measure the bonded joint elongation. The hardness across the bonded joints was measured by using Vickers micro-hardness testing setup. Scanned electron microscopy (SEM) is employed to analyse failure pattern of tensile test performed specimens.
A Robust Framework for Person Identification using Multimodal Biometrics for Future Technology
Authors:   Department of Electronics & Telecommunication Engineering, MIT(E), Aurangabad (M. S), India., Patil* Mr. R. N. , Patil Dr. Pravin Sahebrao ,   Head & Professor, Department of Electronics and Telecommunication Engineering, SSVPS’s B.S. Deore College of Engineering, Dhule, (M.S.), India
Published: May 2020

Now a day’s security is very major aspect in every industry and personal life too. Various techniques of biometric are available with extraction of different features. Human body consist of many parts but in which few are very unique. The unique features can help in advanced biometric system development, but in future technologies needs robust and reliable techniques based on multimodal biometric. Hence this paper explains about multimodal robust framework personal identification using facial identity. More number of samples needs more accuracy and fast processing therefore deep learning with optical character recognition may use for this. The proposed system includes raspberry pi with python libraries and advanced packages. After execution of this personal identification using advanced tools a unique method with effective and efficient results appears. This paper helps to find the work done in this area and proposed system with hardware configuration setup details.
Lightweight Coap Based Authentication Scheme by Applying Two-Way Encryption for Secure Transmission
Authors:   PhD scholar at UPES, Dehradoon., Salankar* Pritam S. , Avasthi Vinay ,   Associate Professor at School of Computer Science UPES Dehardun., Pasricha Ashutosh ,   Ph.D from IIT, Delhi
Published: May 2020

With the widespread popularity of the Internet of Things (IoT), different sectors-based applications are increasingly developed. One of the most popular application layer protocols is the Constrained Application Protocol (CoAP), and the necessity of ensuring data security in this layer is crucial. Moreover, attackers target the vulnerabilities of IoT to gain access to the system, which leads to a security threat and violate privacy. Typically, user authentication and data encryption are applied for securing data communication over a public channel between two or more participants. However, most of the existing solutions use cryptography for achieving security, with the exception of high computation cost. Hence, these solutions fail to satisfy the resource-constrained characteristics of IoT devices. Therefore, a lightweight security mechanism is required for achieving both secure transmission and better performance. This paper proposes a Lightweight Authentication with Two-way Encryption for Secure Transmission in CoAP Protocol (LATEST) that provides a secure transmission between the server and IoT devices. This mutual authentication mechanism uses ROT 18 Cipher with XoR operation and 128-bit AES based encryption for securing the data transmission. The ROT18 Cipher is a monoalphabetic substitution cipher, which is a combination of ROT13 and ROT5. The proposed scheme employs symmetric encryption in both client and server for ensuring secure authentication and mutually confirm each other identity. In addition, the proposed LATEST scheme ensures confidentiality and integrity by being resistant to replay attacks, impersonation attacks, and modification attacks. The experimental evaluation demonstrates that the proposed LATEST scheme is lightweight and provides better security compared to the existing scheme.
Machine Learning in Medical Imaging for Early Detection of Skin Diseases.
Authors:   Department of CS & Eng. Bhabha Institute of Technology Kanpur Dehat, India, Yadav* Ms Upma , Kumar Mr Ashok ,   Department of CS Banasthali Vidyapith Rajasthan, India, Tiwari Miss. Anamika ,   Department of CS & Eng. Bhabha Institute of Technology Kanpur Dehat, India, Mukherjee Dr Saurabh ,   Department of CS Banasthali Vidyapith , Rajasthan, India.
Published: May 2020

Dermatology is a medical field that treats skin health and diseases. These skin diseases are perilous and often transmittable but can be cured or reversed with higher degree if detected at an early stage. Early detection and treatment can correct most skin disorders. Diagnosis of these diseases requires a sophisticated of proficiency due to the variety of their illustration aspects. As manual conclusion are often skewed and hardly reproducible, to achieve a more intent and undependable diagnosis, a computer aided diagnostic system should be considered. This work is to provide a comparative view of advancements the works as a robust literature of with techniques, methodology, experimented results and dataset done in medical science using medical images to predict diseases with early detection and higher accuracy .
Accuracy of Detection and Classification of DC Faults using Levenberg Marquardt Based Back Propagation Algorithm
Authors:   Department of EEE, NIET, Greater Noida, India., Kumar* Dr. Sujit , Kamal Dr. Neel ,   Department of EEE, NIET, Greater Noida, India., Power Dr. Pankaj Kumar ,   System Consulting Engineer, Mumbai, India., Gaur Mr. Aditya ,   Department of EEE, NIET, Greater Noida, India., Tiwari Mr. Vikash ,   Department of Electrical & Electronics Engineering, Noida Institute of Engineering &Technology, Greater Noida, India.
Published: May 2020

Vitality is seen as a prime administrator in the time of wealth and a vital figure budgetary headway. Obliged fossil resources and natural issues associated with them have underscored the necessity for new reasonable vitality supply choices that uses sustainable power sources. Among open developments for essentialness age from solar dependent sources, the photovoltaic system might give a gigantic pledge to develop a progressively feasible imperativeness structure. This paper presents accuracy of detecting DC faults in a photovoltaic (PV) framework based on Levenberg - Marquardt (LM) neural network. The result showed that this model based on LM neural network is effectual to grip doubts and nonlinearities of DC side faults in PV module without using mathematical model. All probable faults in DC side of PV system are obtained over 100 kW plant. It is discovered that the proposed framework has demonstrated its integrity for the pragmatic applications.
Application of Heavy Metal Ions Separation from Contaminated Water in Industry
Authors:   Department of “Organic substances and technology of macromolecular compounds” chemical-technological faculty Azerbaijan State Oil and Industry University, Baku, Azerbaijan Baku, AZADLIQ Avenue, Kerem* Shixaliyev
Published: May 2020

to achieve - study the sorption of silver, copper, nickel ions, the method of changing the volume of solutions of a constant concentration of metal ions is used. The amount of zeolite and constant concentrated solution is taken in such an amount that the molar (molecular) parts of the exchanged ions are in a wider range. Some concentrated solutions are taken in flasks in an amount of 20 40 60 80 120 ml and 0.5 g of zeolite are added to them, mixed and a sample is taken periodically for analysis. After 2-2.5 hours, equilibrium occurs. By measuring the density of equilibrium, the amount of sorption of ions is determined.
Human Made Path-Ways in Google Maps
Authors:   Bachelor of Technology in Information Technology, Vardhaman College of Engineering, Hyderabad, Telangana, India., Gopi* Satya Sesha Rao , Dhavala Bhavani ,   Associate Consultant, Rythmos India Private limited Hyderabad, Telangana, India., Bharath Chinthakula ,   ETL Developer, Rythmos India Pvt LTD, Hyderabad, Telangana, India.
Published: May 2020

This paper proposes information regarding Human Made Path-Ways (HMPW) feature in Google maps, which will present more accurate output of traffic [1], road blocks, fastest reaching path-ways, reaching emergency location in an error free path-way for emergency services to the users.
Alzheimer’s Patients’Assistance Models
Authors:   Computer Science and Engineering, Vidyavardhaka College of Engineering, Mysuru, India., Hegde Abhilash , Chaitanya Dinavahi Sri ,   Computer Science and Engineering, Vidyavardhaka College of Engineering, Mysuru, India., Uttarkar Gaurav V ,   Computer Science and Engineering, Vidyavardhaka College of Engineering, Mysuru, India., K S* Peeyusha ,   Computer Science and Engineering, Vidyavardhaka College of Engineering, Mysuru, India., Kumar Nithin ,   Computer Science and Engineering, Vidyavardhaka College of Engineering, Mysuru, India.
Published: May 2020

Alzheimer’s is a neurodegenerative disease which primarily effects the neurons in the human brain. The severity gradually increases over time, considered as the main cause for cognitive impairment in elderly people. Alzheimer's Disease has a long incubation period before clinical symptoms emerge, the available treatment can only delay the disease but not the progression. Hence the patients need assistance for their day to day activities. There are few neuropsychological tests like mini-mental state examination to determine the need and way of diagnosis and few systems have been proposed to help such patients. It is necessary to study the available systems for their efficiency, feasibility, speed and other factors necessary for comparison in order to understand the work done so far which will open ways for further research and improvisation of existing models and approaches. Therefore, in this paper we will review some of the devices, approaches and systems designed in order to help the Alzheimer's Patients’ with their daily activities.
Post Disaster Rescue Assist using Machine Learning
Authors:   CSE, Sri Krishna College of Technology, Coimbatore, Tamil Nadu, India., Gangadaran* K. , Dhinesh R. ,   CSESri Krishna College of Technology, Coimbatore, Tamil Nadu, India., Peter S. Sam ,   assistant professor at Sri Krishna College of Technology, Coimbatore.
Published: May 2020

During any disaster, the first step is to formulate a disaster rescue team to help those in distress. When the team goes into action, it is important to analyse the survivors withstood on the rooftops. It is hard to search for rooftop survivors by entering and searching every house. So, there are many Machine Learning techniques and algorithms such as image recognition and classification and these can be quite helpful in assessing the survivors as the algorithms can analyse and observe images from the sources. They can also identify the rooftop survivors and make a mark over them. Machine Learning can quite effectively identify humans apart from environmental objects, flooding, blocked roads from the disaster occurred locations.
Credit Card Fraud Detection Performance Improvement using Advanced Super Gradient Boosting Algorithm
Authors:   Professor, Department of Computer Science in Holy Mary Institute of Technology and Science (HITS), (V) Bogaram, (M) Keesara, Medchal .Dist, Telangana, India., Goud* V. Sudheer , Premchand P. ,   Professor, Department of Computer Science and Engineering, University College of Engineering, Osmania University, Hyderabad, Telangana State, India
Published: May 2020

Credit card fraud introduces to the physical loss of a credit card or the destruction of sensitive credit card data. Several text mining procedures can be used for disclosure. This investigation reveals several algorithms that can be used to analyze transactions as a fraud or as a real background. This paper represents the possibility of fraudulent transactions in the prevalence and meaning of credit card usage also, Credit card fraud data collection was used in the investigation. Since the dataset was largely unbalanced, SMOTE (Synthetic Minority oversampling Technique) is applying for an overdose. In addition, jobs selected, and the data set divided into two parts, training data and test data. In this paper, The Advanced Super Gradient Boostingbased Text mining Algorithm (ASGB) suggested to detect the fraud transaction in Credit card transactions. ASGB is a Decision-Tree-Based Ensemble Text mining algorithm that utilizes a gradient boosting framework. In forecast difficulties, including unstructured data (Images, Text, etc.), artificial neural networks tend to exceed all other algorithms or structures. The proposed algorithms used in the experiment were the Hidden Markov Model, Random Forest, Gradient Boosting, and Enhanced Hidden Markov Model. The Experimental Results show that proposed algorithms, a well-tuned ASGB classifier outperforms all of them. And it presents better Precision is 99.1%, and Recall is 99.8%, F-measure is 99.5%.
Healthcare Monitoring System using Cloud and Machine Learning
Authors:   Sri Krishna College of Technology, Coimbatore (Tamilnadu), India, Raghunathan* T. , Abimanyu N. ,   Sri Krishna College of Technology, Coimbatore (Tamilnadu), India., Kumar N.Arun ,   Sri Krishna College of Technology, Coimbatore (Tamilnadu), India., Jegadheesan J. ,   Sri Krishna College ofTechnology, Coimbatore (Tamilnadu), India.
Published: May 2020

The prototype is a working model, incorporating sensors for measuring human parameters like body temperature, heart beat rate. A Raspberry pi microcontroller board is used to analyze the patient's Temperature, heartbeat inputs. This project offers a system that will track the crucial parameters a patient's condition to track continuously. If a patient experiences some critical situation, the unit also triggers an alarm in a patient’s close relative and to the doctor in various methodology. This is very useful for future analyzes and review of the health condition of patients. This project can be adapted for more flexible medical applications, by integrating dental sensors and announcement systems, As a very effective and devoted patient care network, it thus makes it useful in hospitals. The world is facing a widespread problem in recent years, which is increasing the number of elderly people. The home-care dilemma for the elderly is something that is very important. In this, Wireless section is becoming a major platform for many services & applications, Web page tracking is also used here, but also a controller. Paper introduces a standardized health monitoring framework as a step towards the progress that has been made in this department to date.
Development of Generative Designed
Authors:   MIREA - Russian Technological University, Moscow, Russia., Mamedova* I.Yu. , Zyabneva O.А. ,   MIREA - Russian Technological University, Moscow, Russia., Oranskaya I.A. ,   MIREA - Russian Technological University, Moscow, Russia.
Published: May 2020

The article discusses the importance of design generation methods in synthesis with additive technologies for creating innovative interior products of new visual forms from biodegradable plastic using an example of an interior panel.
Development of Compartmental Mathematical Model of Disease Transmission of Basal Stem Rot in Oil Palm Plantation
Authors:   Department of Mathematics, Faculty of Science and Mathematics, Universiti Pendidikan Sultan Idris, 35900 Tanjong Malim, Perak, Malaysia., Mustafa Halina Hanim , Samat* Nor Azah ,   Department of Mathematics, Faculty of Science and Mathematics, Universiti Pendidikan Sultan Idris, 35900 Tanjong Malim, Perak, Malaysia., Mohamed* Zulkifley ,   Department of Mathematics, Faculty of Science and Mathematics, Universiti Pendidikan Sultan Idris, 35900 Tanjong Malim, Perak, Malaysia., Kassim Faizah Abu ,   Department of Agricultural Science, Faculty of Technical and Vocational Education, Universiti Pendidikan Sultan Idris, 35900 Tanjong Malim, Perak, Malaysia.
Published: May 2020

The mathematical modelling is one of the major research areas for mathematician and biologist in understanding the dynamics of transmissible infections. There might also be a mathematical model used to research the dynamics of plant disease and estimate the number of cases of outbreaks. In this research, we developed the compartmental mathematical model of the dynamical spread of transmission of plant disease with reference to basal stem rot (BSR) disease in oil palm plantation. The dynamics of the BSR disease were studied by a prone-contagious-sustained (PCS) compartmental mathematical model involving ordinary differential equations for three classes of hosts; prone, contagious and sustained. The equilibrium points and epidemic threshold conditions were analytically determined and numerical simulations were analyzed to support analytical results. From the numerical results, the solutions converge to each equilibrium state and PCS model simulation indicated that BSR disease has not become endemic. In particular, the threshold parameters that summarize the dynamics of the system will help to choose strategies for crop protection.
Hybrid Energy Efficient Multi Source Energy System With Iot Base Load Control
Authors:   Professor, Department of Mechanical Engineering, Godavari Institute of Engineering & Technology (A),Andhra Pradesh, India, Rao* M Sreenivasa , Gopi Bandi ,   UG Student, Department of Mechanical Engineering, Godavari Institute of Engineering & Technology (A),Andhra Pradesh, India, Sunilkanth B ,   UG Student, Department of Mechanical Engineering, Godavari Institute of Engineering & Technology (A),Andhra Pradesh, India, Avinash P ,   UG Student, Department of Mechanical Engineering, Godavari Institute of Engineering & Technology (A),Andhra Pradesh, India, Dileep B ,   UG Student, Department of Mechanical Engineering, Godavari Institute of Engineering & Technology (A),Andhra Pradesh, India
Published: May 2020

As the demand for electricity increasing day by day there is a need for an alternative power generation from renewable energy sources. The usage of increasing these conventional energy sources and the irregular supply of the power generated by them create problems like stability, consistency, and quality of the power in the main electrical grid. The solution to this problem is the concept of hybrid energy-efficient multi-source energy systems.“Hybrid energy efficient multisource energy system includes two or more energy conversion devices or two or more fuels for the same device, that when integrated, overcome limitations that may be inherent in either”. Remote areas should be equipped with hybrid energy-efficient multi-source systems. This Project gives suitable ways to generate power in rural and agency areas also. The proposed system includes three systems that are capable of renewables, mainly solar (with the auto-tracking system), wind and Piezo along with power storage devices. This system has designed to give quality un-interrupted power to the developed Hybrid energy efficient multi-source energy systems. Further, this system is applied to maintain a continuous power supply for different loads like cooling and heating.
An Empirical Methodology to Examine the Effect of Meta Classifiers in J48 and Random Tree in Weather Data
Authors:   P G Student, Department of Computer Science and IT Amrita School of Arts and Science, Amrita Vishwa Vidhyapeetham, Kochi, India., R* Divya , Rajan K Anju ,   P G Student, Department of Computer Science and IT Amrita School of Arts and Science, Amrita Vishwa Vidhyapeetham,Kochi, India.
Published: May 2020

Weather data interpretation has become vitally important in most domains of human activity and this is because in recent years, major changes have begun to impact climate globally – peninsular India is among the regions seriously affected with this and prediction has become a particularly urgent concern. In this work to bring out a better methodology to examine the weather data using Meta classifiers, a method is postulated by formulating it with Tree classifiers – J48 and Random Tree. Implementation phase has shown distinct results for both the classifiers. Regardless, we could conclude from this work that the effect of Meta Classifiers in J48 and Random Tree algorithm shows that efficiency can be improved by applying the same.
Optimization of Convergent –Divergent Taper Angle with Combustion Chamber of Rocket Engine through Numerical Analysis
Authors:   Assistant professor of Mechanical Department, in Godavari Institute of Engineering and Technology,, Nayeem* Shaik , Chaitanya K.L.V.B.S.S.S. ,   Pursuing B.Tech in Godavari Institute of Engineering and Technology. Completed Internship in NTPC Limited, Vizag and AVEVA , Hyderabad., Krishna G. Murali ,   Pursuing B.Tech in Godavari Institute of Engineering and Technology., Dileep Ch. ,   Pursuing B.Tech in Godavari Institute of Engineering and Technology., Ramana D. Venkata ,   Pursuing B.Tech in Godavari Institute of Engineering and Technology.
Published: May 2020

Present days speed of vehicle is concerned in both sub -sonic vehicle( like car, bus and truck etc) super -sonic vehicles (like rockets). Convergent divergent component is the main part which decide the speed of any vehicle. A attempt is made to find the optimal convergent angle (inlet taper angle ) and divergent angle(outlet taper angle [ .) with the help of Numerical analysis through ANSYS 19.0(R3). Deciding parameter for greater thrust is angles i.e.; and [ . So, Convergent divergent nozzles with combustion chamber is designed, modelled and analysed numerical for getting optimal values of convergent and divergent angles . The various angles used are [35,15] [35,20] [35,25] [40,15] [40,20] [40,25] [45,15] [45,20] [45,25]. At these different angle the parameters such as velocity, temperature, pressure and Mach numbers are estimated with the help of steady state fluent with carbon dioxide as inlet to the combustion chamber.
Phantom Bat for Military Applications
Authors:   Department of Electrical and Electronics Engineering, SRM Valliammai Engineering College, Kattankulathur, India., Mahendran* M. , Indumani M. ,   Department of Electrical and Electronics Engineering, SRM Valliammai Engineering College, Kattankulathur, India., Manikandan S. ,   Department of Electrical and Electronics Engineering, SRM Valliammai Engineering College, Kattankulathur, India., Manickavel P. ,   Department of Electrical and Electronics Engineering, SRM Valliammai Engineering College, Kattankulathur, India., Karthik R. ,   Department of Electrical and Electronics Engineering, SRM Valliammai Engineering College, Kattankulathur, India.
Published: May 2020

The aim of this project is to minimize the cause of death of military man and innocent people by gathering their secret informations . The Phantom bat act as spy because it looks similar like a bat. It is fixed with ESP 32 WIFI camera to monitor the activities of the enemies. This bat design does not create any doubt to the enemies we are watching. It flies using a BLDC motor. The BLDC motor help the bat to lift from the ground and allow it to fly in the sky by creating 3 flaps per second to the wings which is fixed with the body of the bat. The two servo motors are used to control altitude and direction. All the electronics components present in flight board are controlled by the Arduino pro micro which is connected with RF receiver. RF transmitter will act as a remote controller and control the operation of bat. Here mobile phone will act as a display for the camera which we used. This bat will play a major role in military to save life. In future it will work on its own by implementing Artificial Intelligence and does not need manual control for this bat.
A Panel Data Analysis Model to Assess the Impact of Institutional Factors on Crop Diversification of Assam, India
Authors:   Assistant Professor, Department of Economics, Women’s College, Tinsukia, Assam, India., Gogoi* B. , Saikia S. ,   Assistant Professor in Department of Economics, Gargaon College, Sivasagar, Assam, India
Published: May 2020

The process of crop diversification is generally used in agriculture to mitigate both production and price risk. Crop diversification is a process through which farmers diversify his farm activities from one crop to different value added crops so that he minimizes the existing risk in his farm operation. Most of the studies in literature in context to crop diversification have identified different factors that influence crop diversification in their study area. However, very few studies have attempted to examine the impact of institutional factors on crop diversification at macro level by using district level panel data in Assam. Therefore, this study makes an attempt to examine the impact of institutional factors on crop diversification through panel analysis. To fulfill the objective of this paper secondary data have been collected from different issues of Statistical Hand Book of Assam, assamstate.com, RBI, etc. The overall results of this paper show that institutional factors like farm size have positive impact on crop diversification except institutional credit. Institutional credit has negative impact on crop diversification. This paper will definitely help to bring some policy changes in the macro level to optimize crop diversification in the region.
Optimum Location and Sizing of DG with Network Reconfiguration in Distribution System
Authors:   M.E, Power system Engineering, SRM Valliammai Engineering College Chennai,India., Rajesh R. , Elango K. ,   Head of the Department, SRM Valliammai Engineering College, Chennai,India., Rajanbabu S. ,   Assistant Professor, Electrical and Electronics Engineering Department, SRM Valliammai Engineering College, Chennai, India.
Published: May 2020

new technique for energy loss reduction for distribution networks is obtainable. It is based onnetwork reconfigurationand algorithms for radial network study. A method for the reconfiguration of distribution system with Distributed Generation (DG) since consistency and power loss is suggested. in this paper below ordinary working situations. Primarily a BPSO algorithm based tie-switches location is conceded out at end nodes taking physical limitations and then preceded by fixing and sizing of DG at the tie-switches location usingFBS optimization method. Before reconfiguration, tie-switch will be in open situation. Reliability at load points is calculated using load flow analysis.Energetic coding is used for discovery the minimal shortcut path from resource to the load. A discover algorithm has been formulate for the network reconfiguration difficulty, since tie-switch and DGs for loss minimization and reliability to improve the load necessity, power stability equations and voltage parameters. The planned approach has been tested on IEEE 33-node radial distribution Networks systems.
Counterfeit Currency Detection using Resource Efficient Neural Networks
Authors:   SRM univercity, Kattankulathur, Chennai Tamilnadu,India, Mittra* Arunabha , Paul Indranil ,   SRM univercity, Kattankulathur, Chennai Tamilnadu,India., Sharanya S ,   SRM univercity, Kattankulathur, Chennai Tamilnadu,India.
Published: May 2020

One of the leading causes of economic instability is the large-scale counterfeiting of the paper currency notes. Several media reports bring to light the alarming cases and the humungous scales of currency counterfeiting and how this issue has become very serious now. A report on how the Government is coping with these threats with new and stricter rules however counterfeiters adapt to the new rules in an alarmingly fast pace. Criminals continue to find a loophole in the system despite such strict security features. There have been impressive discoveries in the field of counterfeit currency, and this coupled with new age digital technology, counterfeiting is being fought well. However, it is impossible to track all counterfeit notes and impossible to have them checked at a short amount of time. Existing systems involve filing a case with the police, sending the documents for verification and waiting for the results to come. This method is based on Deep Learning, which has seen tremendous success in image classification tasks in recent times. This technique can help both people and machine in identifying a fake currency note in real time through an image of the same. Traditional Deep Learning algorithms require tremendous amount of compute power and storage and hence it is an expensive and elaborate process. The main goal is to make a faster and simpler mechanism to detect a counterfeit note that can be implemented in any random place like an ATM dispenser or an android application. The success of this application will greatly help the quick identification of the threat and help law enforcement in finding the source of the threat faster.
Power Quality Analysis and Monitoring of EEE Department in Academic Institution
Authors:   UG Student, Department of EEE, National Engineering College, Kovilpatti, India., Mariselvam M. , Murugan M. ,   UG Student, Department of EEE, National Engineering College, Kovilpatti, India., Ramamanikandan R. I. ,   UG Student, Department of EEE, National Engineering College, Kovilpatti, India., Ramkumar P. ,   UG Student, Department of EEE, National Engineering College, Kovilpatti, India., Kumar* S. Sankara ,   Assistant Professor(SG), Department of EEE, National Engineering College, Kovilpatti, India, kumar T.Siva ,   Assistant Professor, Department of EEE, National Engineering College, Kovilpatti, India.
Published: May 2020

Power Quality analysis is the starting point of the energy management. This power quality analysis is carried out in the Electrical and Electronics Department of an Academic Institution. The Power Quality analysis is aimed at, Conducting Power Quality analysis in all the different panels of the Electrical and Electronics department. To identify and measure the power quality instability similar to voltage, current, harmonics, quality of power factor and reactive power flow of the various panels in the EEE department. Performance of various panels will be analyzed. It also helps to decrease the heavy economic losses to customer and major break of the loads. We provide the implementation strategy with readings and the recommendations for each problem. This project also provides the improvements in the energy conservation and reducing harmonics in all the loads in the EEE department.
Production of Jatropha Methyl Ester
Authors:   Assistant Professor, Department of Mechanical Engineering, Sri Krishna College of Engineering and Technology- Coimbatore, Tamil nadu-India, Rajamanickam* Arun Kumar , Prasad M U Sarath ,   UG Student, Department of Mechanical Engineering, Sri Krishna College of Engineering and Technology- Coimbatore, Tamil nadu-India, Kumar E Sanjai ,   UG Student, Department of Mechanical Engineering, Sri Krishna College of Engineering and Technology- Coimbatore, Tamil nadu-India, Vineth S Yashwanth ,   UG Student, Department of Mechanical Engineering, Sri Krishna College of Engineering and Technology- Coimbatore, Tamil nadu-India
Published: May 2020

In a past span of years there is a huge development in the automobile field it creates a demand for petroleum products leads to insufficient supply of fuels and also it causes more pollution. Due to this all the developed and developing countries are focusing in producing biodegradable fuels to reduce the cost and demand of fossil fuels and mineral oils. Many researchers are identify that vegetable oils and biogas are the beat alternate to the mineral oils. Since the vegetable oils are eco-friendly and biodegradable so it plays the major role in production of alternate fuels. In this paper the production of jatropha ester and the tribological properties were studied. Transesterification process was carried out to produce the ester from jatropha curcas oil. Jatropha curcas oil is a non-edible oil, ester prepared from jatropha curcas oil was added with nano copper oxide particles to improve the wear resisting property and reduce the pollution.
Human-Computer Interaction with Special Emphasis on Converting Brain Signals to Speech
Authors:   Student in Computer Engineering at Thapar institute of engineering and technology, Patiala., Sharma* Venkatesh , Jain Kumar Sambhav ,   B. tech student in Computer Engineering at Thapar institute of engineering and technology, Patiala., Kaur Amrita ,   Assistant Professor in the Computer Science and Engineering Department, at Thapar Institute of Engineering & Technology, Patiala., Singh Ashima ,   Assistant Professor in the Computer Science and Engineering Department, at Thapar Institute of Engineering & Technology, Patiala.
Published: May 2020

Huge hurdle neuro engineers face on the road to effective brain-computer interfaces is attempting to translate the big selection of signals made by our brain into words pictures which may be simply communicable. The science-fiction plan of having the ability to manage devices or communicate with others simply by thinking is slowly but surely, obtaining nearer to reality. Translating brainwaves into words has been another large challenge for researchers, but again with the help of machine learning algorithms, superb advances are seen in recent years. The exploitation of deep learning and acceptable machine learning algorithms, the management signals from the brain will regenerate to some actions or some speech or text. For this, a neural network is created for the brain and conjointly a mapping is completed to catch all the brain signals in which neural network will be additionally used for changing these signals into actions. From the past literature, it is being concluded that the Deep Neural Networks are one of the main algorithms that are being placed into use for this research. This review article majorly focuses on studying the behavioral patterns generated by the brain signals and how they can be converted into actions effectively so that people suffering from semi or full paralysis can use this technology to live a normal life if not completely but to a certain extent. Also, it focuses on analyzing and drawing a comparison between linear and non-linear models and to conclude the best-suited model for the same currently available to the researchers.
Cell Zooming Techniques and Optimization Function in Cellular Based Networks with Energy Efficient and Consumption
Authors:   Department of Electronics and Tele Communication Engg, Karpagam College of Engineering, Coimbatore, India, Murugan* C.Arul , Divyabharathi  ,   Department of Electronics and Communication Engineering, Vel Tech Rangarajan Dr.Sagunthala R&D Institute of Science and Technology, Chennai, India, kumaar G.Suresh ,   Department of Electrical and Electronics Engg, Karpagam College of Engineering, Coimbatore, India, Kannan Nithiyananthan ,   Department of Electrical Engineering, Faculty of Engineering, Rabigh King Abdulaziz University, Jeddah, Saudi Arabia, Etier Issa ,   Department of Electrical Engineering, Faculty of Engineering Hashemite University, Zarqa , Jordan
Published: May 2020

Today, the major mobile network utilizes energy in the range of giga watts per year. Nowadays, in European markets energy prices increased around 18% of mobile network operational cost. The design methodology is provisioned with tradeoff between maintenance cost, energy consumption, QOS assurance and deployment. In the existing work, an optimization function for the network design and management has been formulated and its validity has been verified using results of simulation The overall objective of this work is to evolve a strategy to operate a cellular network in an energy efficient manner, thereby reducing energy consumption and electromagnetic pollution. Range of each sector corresponding to a particular cell differs from each other. This allows the sectors to be treated as individual cells and hence, sector zooming can be done.
Detection of Spam Bots on Twitter using Machine Learning
Authors:   Pursuing,Bachelor’s Degree, Sri Krishna College of Technology, Coimbatore, Tamilnadu, India., Sankaranarayanan* Anirudh , U. Kanshiram ,   Pursuing, Bachelor’s Degree, Sri Krishna College of Technology, Coimbatore, Tamilnadu, India., T.P. Gokuladharshan ,   Pursuing, Bachelor’s Degree, Sri Krishna College of Technology, Coimbatore, Tamilnadu, India., T. Suganya ,   Assistant Professor, Department of Computer Science, Engineering, Sri Krishna College of Technology, Coimbatore, TamilNadu
Published: May 2020

Twitter is a popularly used microblogging website that is used to share views, opinions, and updates. However, in recent times, an epidemic of spammer accounts have spread across the website causing disorder and chaos among the normal users. These spammers either aim to promote some commercial agenda or disturb the peace in the online environment. Our project aims to analyze the tweets made by users and predict if they might be spammers so that appropriate action can be taken on them. This is done using machine learning. The random forest algorithm has been modified by giving weighted importance to certain variables assigned using domain knowledge that has been obtained from exploratory analysis of various twitter data sets and knowledge from scientific research papers. A bag of words has also been added to the algorithm, in order to quickly identify the key phrases used by spam bots. By identifying the spammers we can systematically report them and create a more peaceful online environment.
Interference Management, Backhaul Routing & Switching off in 5G Hetnets with Mmwave Backhaul Links: A Relative Perspective
Authors:   Research Scholar, Koneru Lakshmaiah Education Foundation, Vaddeswaram, A.P., India., Manjunath* L. , Prabakaran N. ,   Associate Professor, Dept. of ECE, Koneru Lakshmaiah Education Foundation, Vaddeswaram, A.P., India.
Published: May 2020

Today most of the next generation wireless communication systems(5G) faces the challenge of supporting the demands for higher data rates growing exponentially and ensuring to provide a stable quality of service (QoS) throughout the network. Over the next 2 years meeting up these requirements need to maximize the capacity of the network by a factor which will multiply it by thousands. Moreover, the most important societal as well as economical concerns include the power usage of data and communication technology industry and pollution mostly energy-related. On 5G two contrary requirements of providing capacity to support higher cellular networks along with consuming less energy needs to be focused upon. Due to the scarcity of spectral sources, a wide consensus can only be achieved by increasing significantly the number of antennas operating per unit area. Here a heterogeneous network named HetNet is analysed, comprising a macro base station (BS) along with several antennas and an overlaid dense tier possessing SCAs(small cell access points)through a wireless backhaul to get data traffic. The SCAs mostly associate with static as well as low mobility user equipment whereas macro BS serve the medium-to-high mobility. This work analyses the methods of the ultra-dense wireless 5G heterogeneous networks considering the interference management along the mm-Wave backhaul links to utilize the spectrum and network densification to operate mm-Wave 5G HetNet. The study reviews several literature works, their drawbacks and developing a joint model by combining base station switch-off technique with interface mitigation. This study further throws light on the scope of managing the backhaul-aware interference which in turn enhances potential capacity of the system and depending on the suitable backhaul the capacity is improved. Millimetre wave(mm-Wave) has proved to be a remarkable candidate to overcome the issue of ensuring a broad bandwidth having secure link transmission. The ultra-dense heterogeneous networks are discussed along with discussing the role interference management algorithms to minimize energy consumption. The importance of interference management is discussed along with discussing issues related. The research problem is formulated following a comparative analysis.
Analysis of EDFA Parameters Amenable for Ultra High Bitrate Based DWDM System
Authors:   Electronics and communication Engineering, SRM Institute Of Science and Technology, Chennai, India., M.K.* Srilekha , K Venkatesan ,   Electronics and communication Engineering, St. Joseph college of Engineering, Chennai, India., G.V Ramesh P. ,   Electronics and communication Engineering, St. Joseph Institute Of Technology, Chennai, India.
Published: May 2020

Exponential growth in data centric services often leads to overhaul of backbone and access networks. Design of high transmission capacity of up to 640Gbps DWDM system with EDFA was analyzed to meet less distortion in an optical backhaul system. Further the length of EDFA and pump power of EDFA are varied and evaluated for 16, 32 and 64 channels data transmission efficiently, such that it caters to the requirements of access networks. Parameters such as pump power and length of optical Amplifier in DWDM system are studied and its output characteristics are analyzed from co-channel and counter-channel propagations. The dependences parameters such as maximal BER, minimal SNR values among all the channels with signal power detection for each pump power results are obtained and compared to the same. Evaluations of Quality factor and BER for each pump power with all three configurations were done for different lengths of EDFA. The DWDM system with suggested optimum EDFA parameters gives good results in terms of Q-factor, eye opening and BER.
Performance Analysis of Optical Frequency Multiplication Based Bi-Directional Rof using FPI
Authors:   Project Manager, Haryana State Electronics Development Corporation (HARTRON), Panchkula-134109, Haryana, India, Rajesh*
Published: May 2020

A cost-effective novel method, Optical Frequency Multiplication using a Fabry Parot Interferometer (FPI), is demonstrated with Optisystem for generating micro/ millimeter signals optically and distributed to several remote located base stations. The simulation results show that the relative strength and frequency of the harmonics is strongly dependent on sweep frequency, FSR, Frequency Deviation and FM index. It is observed that optical uplifting of 150 Mbps AM radio signals to 11.8, 17.8 and 23.8 GHz frequencies corresponding to 4th, 6th and 8th harmonic after transmission in optical downlink with the power level of 10 dbm, -10 dbm and -20 dbm respectively. Similarly, ASK data is recovered from the 4th harmonic of 12 GHz. To down-convert the uplink AM-RF signal of 5.8 GHz to a low IF of 200 MHz, 6 GHz high-frequency carrier generated by OFM is used, which is then sent back to the Central Station. QAM data at 550 MHz subcarrier is also recovered at CS successfully from 4th harmonic. Hence, the OFM system is used successfully for multiple functions concurrently, such as high-frequency-carrier-generation, optical signal transportation, frequency up-conversion, and bi-directional data transmission through generated harmonics.
Pansharpening of Multispectral and Panchromatic Images for Color Distortion using MATLAB
Authors:   Assistant Professor, Department of Electronics & Telecommunication Engineering, G H Raisoni College of Engineering, Nagpur, Maharashtra, India., Chandankhede* Dr. Pankaj H. , Fatinge Prof. Pragati M. ,   Assistant Professor, Department of Computer Engineering, KC College of Engineering and Management Studies and Research, Thane Mumbai, Maharashtra, India
Published: May 2020

This paper deals with new pan sharpening techniques/methods for multispectral pan sharpening. These techniques are functional to number of datasets and their usefulness, strength and health are (figured out the worth, amount, or quality of) with widely used performance indicators. Also, all the ways of doing things of pan sharpening thought about/believed in this paper were put into use in a MATLAB with toolbox. GUI was designed using regression method which reduces color distortion.