bluuebunny/crossref_metadata_2025 huggingface dataset:
Quantum Key Distribution Based-on Refraction and Polarization Entanglement
Authors:   Associate Professor, Department of Information Technology, Bannari Amman Institute of Technology, Sathyamangalam, Tamil Nadu,, M* Gunasekaran , B Gopalakrishnan ,   Associate Professor, Department of Information Technology, Bannari Amman Institute of Technology, Sathyamangalam, Tamil Nadu, Wahi Amitabh ,   Professor, Department of Information Technology, Bannari Amman Institute of Technology, Sathyamangalam, Tamil Nadu
Published: April 2020

Cryptography is the specialty of encoding and decoding messages and exists as extended as the individuals have doubted from one another and need secure correspondence. The traditional techniques for encryption naturally depend on any among public key or secret key approaches. In general, the public key encryption depends on two keys, for example, public key and private key. Since encryption and decryption keys are different, it isn't important to safely distribute a key. In this approach, the difficult of the numerical issues is assumed, not demonstrated. All the security will be easily compromised if proficient factoring algorithms are found. In secret key encryption two clients at first create secret key, which is a long string of arbitrarily selected bits and safely shares between them. At that point the clients can utilize the secret key along with the algorithms to encryption and decryption information. The procedures are complicated and also planned such a way that every bit of output is based on every bit of input. There are two fundamental issues with secret key encryption; first one is that by breaking down the openly known encoding algorithms, it gets simpler to decrypt the message. The subsequent one is that it experiences key-conveyance issue. As a result of the ongoing improvements in quantum processing and quantum data hypothesis, the quantum computers presents genuine difficulties to generally utilized current cryptographic strategy. The improvement of quantum cryptography beat the deficiencies of old style cryptography and achieves these huge accomplishments by using the properties of infinitesimal articles, for example, photon with its polarization and entangled state. In this paper, Polarization by refraction based quantum key distribution (PR-QKD) is proposed for quantum key generation and distribution. The proposed work considers three basis of polarization such as rectilinear (horizontal and vertical), circular (left-circular and right-circular), ellipse (left-ellipse and right-ellipse) and refraction factor. This quantum key can be used for secure communication between two users who are spatially separated and also offer intrusion detection ability to detect attackers. The theoretical approach and conceptual results are discussed in this paper.
Shear Behavior of Concrete Beam Reinforced with Carbon Coated Steel Fiber
Authors:   PG Student, Department of Civil engineering, Kongu Engineering College, Erode, Tamil Nadu, India., Sureshvel* V. , Suchithra S. ,   Associate Professor, Department of Civil engineering, Kongu Engineering College, Erode, Tamil Nadu, India., Kumar B. Ponmohan ,   PG Student, Department of Civil engineering, Kongu Engineering College, Erode, Tamil Nadu, India.
Published: April 2020

The project discussing concrete shear behavior analysis with varying percentage of steel fiber. D6,The fibres of hooked end steel fibre, which are used at varying proportions, namely 1%, 1.5% and 2%. The strength tests show that the addition of fibre used better result when compared with conventional concrete. Various analyzes were conducted, such as compressive strength, split tensile strength, and flexural strength. The outcome of the experimental study shows, that incorporating carbon coating steel fibre enhances the properties of plain concrete.
The Impact of Board Composition on Firm Performance with Reference to Selected Indian Companies
Authors:   Assistant Professor in Christ University, Bangalore, Karnataka, India., Kudal* Dr. Pallavi , Dawar Dr. Sunny ,   Assistant Professor in Faculty of Management & Commerce, Manipal University Jaipur, Rajasthan, India.
Published: April 2020

This study examines effects of board composition on firm performance among 24 selected companies which are listed on the National Stock Exchange. It strives to understand the influence of corporate governance by testing 3 variables of board composition namely – board size, number of independent directors and the number of female directors on a company’s profitability measured through the tool – Tobin’s Q. One-way Anova test is used to establish a relationship between each of the three variables of board composition with firm profits. The study is conducted over a period of 5 years from 2013 to 2018 and concentrates on the following sectors - Auto, Financial Services, FMCG, IT, Media, Metal, Pharma, and Realty. The results revealed a significant relationship between board size and number of independent directors with firm profits which meant a firm with a greater sized board or more independent directors also showed higher profits in comparison. While, no significant relationship was found between the number of women directors on a firms’ board and firm performance.
Navigation Aid for the Blind and the Visually Impaired People using eSpeak and Tensor Flow
Authors:   Assistant Professor, Department of CS&E, SJM Institute of Technology, Chitradurga, India., H M Nishkala , S H Anu ,   CS&E, SJM Institute of technology, Chitradurga, India., B V Ashwini ,   CS&E, SJM Institute of technology, Chitradurga, India., C M Kavya ,   CS&E, SJM Institute of technology, Chitradurga, India., B S Monika ,   CS&E, SJM Institute of technology, Chitradurga, India.
Published: April 2020

Applications of science and technology have made a human life much easier. Vision plays a very important role in one’s life. Disease, accidents or due some other reasons people may loose their vision. Navigation becomes a major problem for the people with complete blindness or partial blindness. This paper aims to provide navigation guidance for visually impaired. Here we have designed a model which provides the instruction for the visionless people to navigate freely. NoIR camera is used to capture the picture around the person and identifies the objects. Using earphones voice output is provided defining the objects. This model includes Raspberry Pi 3 processor which collects the objects in surroundings and converts them into voice message, NoIR camera is used detect the object, power bank provides the power and earphones are used here the output message. TensorFlow API an open source software library used for object detection and classification. Using TensorFlow API multiple objects are obtained in a single frame. eSpeak a Text to Speech synthesizer (TTS) software is used to convert text (detected objects) to speech format. Hence using NoIR camera video which is captured is converted into voice output which provides the guidance for detecting objects. Using COCO model 90 commonly used objects are identified like person, table, book etc.
Solar Feasibility for Urban Households- Space Limitations for Solar Installation
Authors:   Amity School of Architecture and Planning, Amity University Jaipur, Rajasthan, India, Saluja* Himanshu , Kumar Rakesh ,   Amity School of Architecture and Planning, Amity University Jaipur, Rajasthan, India, Sudhakaran Pratheek ,   Amity School of Architecture and Planning, Amity University Jaipur, Rajasthan, India, Saxena Nishant ,   Amity School of Architecture and Planning, Amity University Jaipur, Rajasthan, India, Gogoi Ishani ,   Amity School of Architecture and Planning, Amity University Jaipur, Rajasthan, India
Published: April 2020

With the trend of falling costs associated with solar energy production, solar adoption is currently picking momentum in India at the state and federal level. Solar power is being adopted by universities, factories and other large entities readily, but is not prevalent for small scale consumption or for land owners of smaller plots in urban areas. These landowners represent a large chunk of development and their adoption can bring solar energy to the masses, galvanizing forces of agglomeration of economics. Surface area for installation of solar power is essential for solar adoption at any meaningful scale, especially for residential use. Installation of a solar array below the requirement leads to supplementation by the electrical grid and dealing with two different power sources and thus unpopular. The paper calculates this requirement for the average household and a minimum energy demand threshold is identified, below which solar adoption will not make sense to the urban household. Further, the area required for solar installation to meet this demand threshold is calculated. The paper finds this area requirement to be out of reach for most households, which has been identified as an impediment to solar adoption by urban households.
Enhanced Web Log Data Mining using Probability Density Based Fuzzy C Means Clustering
Authors:   M.Phil Degree, Computer Science, Alagappa University, Karaikudi and Periyar University, Salem, Geetha* K.
Published: April 2020

The World Wide the net is very great place where things are stored and it is growing exponentially. It has in it sizeable amount of news given which is growing and bringing up to the current state quickly. Different organizations, institutes, government agencies and support centers bring up to the current state their news given regularly. The World Wide the net provides its services to the ranges of the net users. The net users may have different interests, needs and back knowledge. Clustering into groups is one of the most important tasks in the action-bound areas of the net record mining. It says without any doubt to grip the trouble of news given over-weight on the net while many users are connected on the meeting thing by which something is done. Clustering into groups is made use of for grouping news given into by comparison way in design for making discovery of person for whom one does work interest. There are two bad points of FCM algorithm, firstly the requirements of no. of clusters C and secondly giving to the first relation matrix. Because of, in relation to these two bad points the FCM algorithm is hard to come to a decision about the right no. of mass, group and this algorithm is unsafe. The strong decision of desirable first stage mass, group is an important hard question, therefore a new expert way called PDFCM algorithm is made, was moving in.
Modification of Adapter in Auto Cone Winding Machine for Better Performance
Authors:   Department of Yarn Engineering, Bangladesh University of Textiles, Dhaka, Bangladesh, Begum* Prof. Dr. Hosne Ara , Siddiqua* Toufiqua ,   Department of Yarn Engineering, Bangladesh University of Textiles, Dhaka, Bangladesh, Mazed Abul Kalam Mohammad ,   Zubair Spinning Mills Limited, Gazipur, Bangladesh, Siddique Prof. Dr. Eng. Abu Bakr ,   BGMEA University of Fashion and Technology, Dhaka, Bangladesh
Published: April 2020

The economy of Bangladesh is largely depending on textile and garments industries at this moment. In this industry the overall demand of quality and cost reduction is increasing constantly along with steadily growing production capacities. For these reasons backward linkage industry like spinning plays a vital role for sustainable textile production in Bangladesh. Winding machine plays a significant role in quality of ring spun yarn in a spinning factory. Modification of adapter used in winding machine is accomplished in this work. Two diameter of adapter such as 58 mm and 68 mm was produced from nylon fibre and attached to the Muratec 21C winding machine. By using these two modified and one conventional metallic adapter three different fineness of yarn such as 30’s Ne cotton, 40’s Ne PC, and 50’s Ne cotton was produced by ring spinning machine in the same processing parameters. Those yarns were wound with 900, 1100, 1300, 1400 & 1500 m/min with original and modified adapters. After winding of yarn different quality parameters like unevenness (%), imperfection index (-), hairiness (-), Count Strength Product (CSP) were tested through Uster Evenness Tester 5 and Ele Stretch XT tester accordingly and compared them. Power consumption was measured by TRINITY (NF29) energy meter. It was found from the analysis of all test results that adapter of 58 mm performed the best; 68 mm made from nylon fibre the better among three along with cost savings is also possible in using nylon adapter.
A Framework for Grading of White Chali Type Arecanuts with Machine Learning Algorithms
Authors:   Department of Electronics and Communication Engineering, K V G College of Engineering, Sullia and affiliated to Visvesvaraya Technological University, Belagavi, Karnataka, India., S* Kusumadhara , M S Ravikumar ,   Department of Electronics and Communication Engineering, K V G College of Engineering, Sullia and affiliated to Visvesvaraya Technological University, Belagavi, Karnataka, India., P Raghavendra ,   Senior Manager, CAMPCO Ltd., Sullia, South Canara District, Karnataka, India.
Published: April 2020

Grading of arecanuts before marketing fetches better prize. There are two universally accepted grading systems for arecanuts namely grading at the producers’ level and grading at the wholesale traders’ level. The major work in this paper is devoted to generation of a standard image database for the White Chali Type arecanuts and constructing a frame work for their grading by exploring the features of White Chali Type arecanut images for the first time. Further, two separate datasets are developed for the above grading systems by employing image feature extraction methods with 3500 and 4132 instances respectively. The arecanuts are graded using popular machine learning algorithms and the results are validated using ten fold cross validation. Multinomial logistic regression as classifier outperformed with classification accuracies of 98.8% and 92.69% for the producers’ level and the whole sale traders’ level grading systems respectively. Also the performances of various machine learning algorithms for the above two datasets are evaluated using weighted average values of True Positive rate, False Positive rate, precision, recall, F-measure and Cohen’s Kappa coefficient.
Environmental Impact Statement on Kolleru Lake Water
Authors:   Professor, Department of Civil Engineering, Kallam Harandha Reddy Institute of Technology, Guntur, Andhra Pradesh, India, Kumar* M. Satish , Prasanna V.Lakshmi ,   B.Tech Final Year Civil Engineering student in Kallam Harandha Reddy Institute of Technology, Guntur, Andhra Pradesh, India, bhaskar K.Madhu Sudana Vijaya ,   B.Tech Final Year Civil Engineering student in Kallam Harandha Reddy Institute of Technology, Guntur, Andhra Pradesh, India, Kumar J.Naveen ,   B.Tech Final Year Civil Engineering student in Kallam Harandha Reddy Institute of Technology, Guntur, Andhra Pradesh, India, Venkateswarlu N. ,   B.Tech Final Year Civil Engineering student in Kallam Harandha Reddy Institute of Technology, Guntur, Andhra Pradesh, India
Published: April 2020

Catchments are most important for the purpose of practicing irrigation and recharging groundwater by collecting water during the rainy season so that the nearby land will be in surplus quantity of groundwater due to the continues percolation of water from the catchments, even the stored water in the form of catchments will be used as an alternative water source for other requirements apart from the irrigation practices such as for industries and other developmental activities taking place nearby the catchments. Year by year it was noticed that in the world scenario the pollutant concentration is keep on increasing especially water and air pollution due to the excessive load of population that is increasing from the rural to urban areas [10]. Coming to water pollution the major portion of pollution is increasing in the surface water bodies [4] due to various activities like surface runoff, intentionally releasing of untreated effluents from the nearby industries into the catchments [8] and the agricultural runoff etc, whatever the reason there is an immediate need and an emergency to monitor these catchments as the average rainfall is gradually decreasing due to the changing climatic conditions like global warming which leads to the reduced availability of water in the surface water bodies at the other side the existing water is being contaminated [5] by the activities of nearby people. The impact will be severe when the same situation continues in the days to come where the living standards of the people will be decreased at a notable level and the impact will be much more severe on the irrigated land which depends on the catchments. The study has done at Kolleru Lake in west godavari district, Andhra Pradesh. Collected Six Water samples from six locations around the lake for analysis [7] and then the results of the analysis compared with Central Pollution Control Board 1979and Indian standards 1982 guidelines for water in the surface water bodies to find out the present scenario of lake water.
Extraction of Spread Surface Water Body using Supervised and Unsupervised Classification Techniques
Authors:   Research Scholar, Department of Electronics and Communication Engineering, S. V University College of Engineering, Tirupati, Andhra Pradhesh, India., Naik* B. Chandrababu , Anuradha Dr B. ,   Professor, Department of Electronics and Communication Engineering, S. V University College of Engineering, Tirupati, Andhra Pradhesh, India.
Published: April 2020

In this paper different classification techniques are applied to extract spread surface water area in the Nagarjuna sagar reservoir, Andhra Pradesh from Landsat-8 (OLI) image. In addition, the separability of reservoir features are tested to evaluate the thematic correctness of the classified data. This is to evaluate the application of a supervised and unsupervised classification techniques using the ERDAS software to extract the changes of surface water features for the period of 2014 to 2019. Furthermore, the statistical parameters are evaluated for the classification techniques. In supervised and unsupervised classification methods the minimum distance classifier gives better result (overall accuracy is 98.01%) than other classification methods. These obtained results are validated with ground truth data which is provided by Central Water-board Commission(CWC).
Improving the Quality Sla of Customer Services in Enterprise System using Dmaic Method at Pt. Telin
Authors:   Graduate Student, Bina Nusantara University, Jakarta, Indonesia, Osadhani* Yogi , Legowo Nilo ,   Associate Professor, Graduate Program, Bina Nusantara University, Jakarta, Indonesia,
Published: April 2020

The development of information technology is currently growing rapidly so that many companies need software products to improve the efficiency and effectiveness of company operations. This makes more and more new information technology (IT) companies cause business competition to become more competitive. PT Telin as an old IT company since 1995 must have a reliable strategy to be able to retain old customers and reach new customers by improving the quality of software products. Quality products will increase customer satisfaction and company value. At present, PT Telin, as one of the largest telecommunications companies providing various types of services to its customers, is aware that there is a lack of service management. The service here is meant to be more focused to internet data service services. This can reduce customer satisfaction and have a negative impact on the company both short and long term. This problem can be influenced by various factors that exist in the company. This can be like business processes, company databases, databases and users that cause shortages that result in poor service to customers so that the SLA exceeds the limits specified in the contract. One of the quality improvements that are widely studied and applied by companies is the DMAIC Method, which is Define, Measure, Analyze, Improve, and Control. This method is a method that focuses on improving product quality and increasing the effectiveness and efficiency of all operational processes to meet customer needs and satisfaction. The purpose of using this method is to change the Business Process that is currently running to be better than before and the results of this project are expected to help the company in improving the quality of the company's Management Services to customers and can be better in business development. After all the recommendations in this research are implemented, the estimated sigma level of the quality service management increases by 0.39σ (3.80σ to 4.19σ)
Design and Modeling of Automatic Cow Dung Log Making Machine
Authors:   Assistant professor in the Department of Mechatronics Engineering at Sri Krishna College of Engineering and Technology, Coimbatore, Tamilnadu, India, Kannaki* S. , Nithyapriya S. ,   Assistant Professor in the Department of Mechatronics Engineering at Sri Krishna College of Engineering and Technology, Coimbatore, Tamilnadu, India, Abinesh M. ,   B.E. Mechatronics Engineering Final Year at Sri Krishna College of Engineering and Technology, Coimbatore, Tamilnadu, India, Gayatri N. ,   B.E. Mechatronics Engineering Final year at Sri Krishna College of Engineering and Technology, Coimbatore, Tamilnadu, India, Harish V. ,   UG pre final year of Mechatronics engineering in Sri Krishna College of engineering and technology, Manikandan R. ,   UG pre final year of Mechatronics Engineering at Sri Krishna College of Engineering and Technology, Kailash M.S. ,   UG pre final year in Mechatronics Engineering at Sri Krishna College of Engineering and Technology
Published: April 2020

This paper presents automatic cow dung log making machine. Cow dung logs used as fuel for many purposes such as cooking, heating boilers, chambers and many other purposes. The main aspect is to automate the cow dung log making process. The purpose of study is to replace manual production to semi-automated process and also to increase production rate. The advantage of the process is to increase the production rate of cow dung logs and bhasma at minimum runtime of machine with respect to the environmental condition.
Ship Detection Based on Information Theory and Segmentation from Synthetic Aperture Radar (SAR) Images
Authors:   School of Computer Science and Engineering, Vellore Institute of Technology, Vellore, India., Jafari* Somaya , Lal Anisha M. ,   School of Computer Science and Engineering, Vellore Institute of Technology, Vellore, India., P Jagalingam ,   School of Computer Science and Engineering, Vellore Institute of Technology, Vellore, India.
Published: April 2020

Ship detection is a procedure which asserts in fields such as ocean and sea management, vessel detection, marine superintendence, and rein, and also can be applied to exclude extralegal actions. Remote sensing can be utilized as a potential tool for zonular and universal monitoring to attain the forenamed goals. Among the radar images, the precious datum from Synthetic Aperture Radar (SAR) is playing a serious duty in remote sensing. Howsoever, vessel detecting in heterogeneous and strong clutter is still a question in this regard. The letter points to a ship detection scheme for SAR images exploiting a segmentation-based morphological operation using entropy. In the presented scheme, the morphological operations are adopted to intercept the background and foreground in the satellite images. The method was implemented and tested on the homogenous, heterogeneous and strong clutter SAR images and the results are promising and showing that the proposed method can improve the vessel detection from homogenous and heterogeneous and strong clutter satellite images.
A Compact Multi-Frequency Circular Patch Antenna Embedded with Metamaterial Resonators
Authors:   ECE dept. National Institute of Science & Technology (NIST), Palur Hills, Golanthara, Berhampur, Odisha, India., Panda* Asit Kumar
Published: April 2020

In this paper, a novel method to achieve tri-band performance for both reduced and conventional size circular microstrip patch antenna (CPA) loaded with low loss metamaterial unit cell is presented. The proposed tri-band CPA is based on metamaterial structure called complementary skewed omega type resonator (CSOR). The conventional CPA operating with 5.1GHz loaded with a pair of symmetric CSORs on the ground plane excites three working frequencies. Beside miniaturization, this work mainly focuses on multiband operation with performance enhancement of the circular patch antenna Numerical simulation of the proposed antenna appears that the operating frequencies of each band can tune separately. Good matching and stable radiation pattern with a satisfactory gain is achieved in the working frequency band. A good concord between simulation and measurement results validate the design method.
Aircraft Aviation System Environment Impact Factors Prediction using Machine Learning
Authors:   Associate Professor, CSE-Department, Kakinada, A.P., India., Krishna* Dr. B. V. Rama , Rao Dr. S. Krishna Mohan ,   Associate Professor, GIFT, Bhubaneswar, India., Desharaju V. G. Sai Krishna ,   Ph.D. in Computer Science from Rayalaseema University, Pasupula, Andhra Pradesh, India.
Published: April 2020

Aircraft aviation system modules are considered for eco friendly oriented service estimation by global organizations. The emissions and aerodrome infrastructures effects the environment and citizen areas surrounding to aerodromes. An interest in researching to identify substantial environmental impact factors by authorities to support Eco-systems increased. In this paper Machine-Learning techniques applied over various training data sets related to aircraft aviation systems to generate interesting patterns related to environmental effects by aircrafts. Probabilistic prediction algorithms applied to support decision systems in generating guidelines to enhance the Eco-friendly architectures of aerodromes as well as aircrafts. The factors identification and territorial based environment precautions deviation observed for locating Eco-system regulation needed zones. The classifications performed in this paper over aircraft systems generate interesting measures to classify environmental scalable aircrafts in future with better eco-friendly technology. Rule miners identify the zones attributes associations among various countries. The work projected in this paper supports aircraft organizations to accurately estimate the environmental effect scores for aviation systems.
An IoT based Application for Real Time Monitoring of the Crops for Agriculture Lands
Authors:   his/her department, Name of the affiliated College or University/Industry,, Gopinath* N. , Vikram M. ,   Department of Computer Science and Engineering, Sri Manakula Vinayagar Engineering College, Puducherry, India., Goutham R. ,   Department of Computer Science and Engineering, Sri Manakula Vinayagar Engineering College, Puducherry, India.
Published: April 2020

The Internet of Things (IoT) provides the opportunity of individuals and devices to educate and collaborate with lots of things namely sensors, actuators, appliances and other wirelessly connected things and we proposed an idea to implement IoT in Agriculture. Environmental attributes are measured using sensors. Regarding our survey, we came to know that website is used as an interface, linked to the sensed data. Uses local Database and services which makes app huge. Lags Disease detection and other predictions are not done. Our project generates data in real time and predict the problems, gives early cautioning and prevent interlude, develop new opportunities and plan better Agri-lands for the future by using simulations. Predicts crop diseases and gives preventive measures. Forecasts the climatic conditions like humidity, rainfall and manage the irrigation, checks soil fertility, monitors water quality for optimal plant growth, controls water usage and irrigation management.
Job Stress Among Laboures at Malabar Spinning and Weaving Mill Limited, Kozhikode.
Authors:   Assistant Professor, Amrita School of Arts and Sciences, Kochi, Kerala, India., Menon* Rashmi J. , M. Devika ,   M.Com, Finance and System, Amrita School of Arts and Sciences, Kochi, Kerala, India., Anzad Haya Jumana N. ,   M.Com, Finance and System, Amrita School of Arts and Sciences, Kochi, Kerala, India.
Published: April 2020

The textile industry in India is a highly organized sector, with garment manufacturers, exporters, suppliers and wholesalers being the gateway to a garment industry in India. Organization life is stressful with the innovation of new technologies, global competition, Competitive pressures. Stressed workers are more likely to be harmful to health, inadequately motivated, not so much productive and unsafe at job. According to this study, stress is a dynamic state in which an individual is confronted with an opportunity, limitations, or need related to what he or she wants and the outcome is perceived as uncertain and important. Work stress is a harmful physical and emotional response that occurs when demands of the job do not match the skills, resources, or needs of the worker. Due to the time constrain, only 100 samples was collected for this study . A study of work stress helps to understand the current satisfaction level of employment of workers. Workload is the major factor which causes stress at work.
A Zero-Proof Knowledge Based on NFC for Data Authentication/Protection using Blockchain for Mobile Edge Computing
Authors:   Assistant Professor, Department of Computer Science, M.S.Ramaiah Institute of Technology, Bangalore, Karnataka, India., R* Hanumantharaju , N. Shreenath K. ,   Associate Professor, Department of Computer Science, Siddaganga Institute of Technology, Tumkur, Karnataka, India., G. Srinivasa K. ,   Professor, Department of Computer Science, National Institute of Technical Teacher Training & Research, Chandigarh, India., N. Swetha ,   M.Tech Student, Department of Computer Science, M.S.Ramaiah Institute of Technology, Bangalore, Karnataka, India.
Published: April 2020

Mobile edge computing is a recent trend to complement the Internet of Things (IoT) ecosystem in the computing sector. IoT is the internet connected communications related to physical devices and everyday objects. The emergence of intelligent living spaces has been due to the rapid development of IoT technologies. Blockchain is one such technology that expands the list of information also referred to like records that are saved as blocks in the Blockchain which are connected using cryptographic algorithms. Within a Blockchain IoT environment, when data or device authentication information is stored in a Blockchain, authentication information can be displayed when verifying Block chain’s transactions, which are also referred to as proof of work. A principle of Zero-knowledge proof (ZKF) is implemented in this paper which is a way of proving that knowledge is known without exposing any data to the user. The proposed model uses a Mobile application where users can prove without revealing users' passwords. Blockchain stores client information that can prevent data from being manipulated. The results of applying the ZKF theory for data security are shown through a web application and NFC.
Wireless Sensor Networks for Monitoring Indian Railways Trains
Authors:   HOD, Department of BCA, Ambedkar Institute of Technology, Shakarpur, Delhi, India., Mishra* Dr. Dipankar
Published: April 2020

Indian Railways has the largest rail network in the world and is also responsible for transferring millions and millions of passengers on a daily basis. But it has obtained the reputation of being accident prone. Consequently the safety record of Indian Railways is very low. Many factors affect the safety of the trains in Indian Railways. Major environmental conditions, geographical conditions and the conditions of the driver's driving the trains are all factors which contribute towards accidents. Along with these conditions the track conditions and the asset conditions also contribute towards accidents. This paper presents a simple technique to reduce accidents in Indian Railways as well as monitor the train on a real time basis with very low cost application
Technology Impact on Banking Sector Performance with Reference to Select Private Sector Banks
Authors:   Research Scholoar, K L Business School, K L (deemed to be) University, KLEF, Vaddeswaram, Guntur Dt.,, A.P., India., Sudha* J. Sai , Rao Dr. P. Venkata Durga ,   Assistant Professor, K L Business School, K L (deemed to be) University, KLEF, Vaddeswaram, Guntur Dt.,, A.P., India.
Published: April 2020

The present study is focused on the technology impact on the banking sector growth in 4G period. The usage of technology by the banking customers increased enormously in 4G compared to other telecom generations i.e., 2G and 3G. The study has considered the high technology spending private banks and B2C segment digital transactions (i.e., Neft, Rtgs, ATM, Mobile, Debit card and Credit Card transactions) growth on the business of the banking sector examined with the panel data in E-Views software. The study has considered the time series data of the selected five private sector banks digital transactions and constructed the Banking Technology Index in 4G period. The study result reveals with the ordinary least square that the mobile transactions and RTGS are having the positive impact on the performance of the Banking technology index. The BTI impact has been examined on the business per employee of the selected private sector banks and the result stated that the BPE got reduced significantly in 4G period. This paper is useful to the bankers, regulators and various stakeholders of the bankers.
Optimal Threshold Estimation using Grey Wolf Optimization for EMD-DTCWT Based ECG Denoising
Authors:   Research Scholar, Department of E&C, SJBIT, Bangalore, Affiliated to VTU, Belagavi, India., A*. Deepak H. , Vijayakumar Dr. T. ,   Professor, Department of E&C, SJBIT, Bangalore, Affiliated to VTU, Belagavi, India.
Published: April 2020

The noise reduction in the ECG has been focused for research in recent years, since desired reduction allows a better signal pre-processing, and allows to extract from it the maximum amount of efficient and meaningful information. This paper proposes an adaptive threshold technique using Empirical Mode Decomposition (EMD) and Dual-Tree Complex Wavelet Transform (DTCWT) for ECG signal denoising. Initially the data driven EMD technique is applied to get the IMFS and these IMFS further passed though DTCWT for filtration. To accomplish the better adaptive filtering process the optimal threshold is further calculated based on Grey Wolf Optimization (GWO). The performance evaluation is achieved on MIT-BIH database.
Challenges and Innovations in Fruits and Vegetable Operations in Indian Organized Retail Industry
Authors:   Research Scholar, GITAM Deemed to be University, Visakhapatnam, Andhra Pradesh, India., Ravi* Ms. Shilpa Sarvani , Prasad Prof. M. V. Ram ,   Professor, GITAM deemed to be University, Visakhapatnam, Andhra Pradesh, India.
Published: April 2020

The retail sector in India is emerging as one of the largest sectors in the economy. The organized retail market in India is growing at a CAGR of 20-25 per cent per year. India was ranked second in the Global Retail Development Index 2019 after China, backed by rising middle class and rapidly growing consumer spending. As the country’s population is witnessing a steep hike, the demand for various Fruits and Vegetables (F&V) products is also increasing at the same pace providing sustainable income and employment in this segment. Unfortunately this segment in the organized retail industry is facing challenges hindering the growth due to high wastage issues and demand uncertainty. This is a novel study focused on clearing the roadblocks in F&V segment for retail entities. This is a qualitative study which included data collection through structured interviews with the Operation Managers of retail stores and Warehouse Managers of Organized Retailers in Bengaluru city. Critical challenges like Low shelf life, Uncertainty in Quality, Price Fluctuations, Seasonality, Fill-Rate issues and respective innovative strategies to overcome such challenges were rightly identified. The study developed a conceptual framework aligning the critical challenges and innovations in F&V handling to attain the sustainable growth. This research also identified the emerging trends in F&V retailing. This information can be considered as treasure to the retailers and entrepreneurs to defeat the F&V challenges and enjoy the perks of sustainability in the market.
A Cost Improvement Rule Victimisation
Authors:   Assistant professor of Information technology in SRM IST, Ramapuram Campus, Chennai, Tamil Nadu, India., Vijay* J. Antony , Srivastava Trishansh ,   Department of Information Technology, SRM IST, Chennai, Tamil Nadu, India ., Singh Manpreet ,   Department of Information Technology, SRM IST, Chennai, Tamil Nadu, India., Soni Aman Kumar ,   Department of Information Technology,SRM IST, Chennai, Tamil Nadu, India.
Published: April 2020

Cloud computing is an effective technique used by developers and other users to implement different use styles. We will take up an issue in this paper which is very popular in the present era. “Storage-as-a-Service” is a category in cloud computing that uses cloud to store data with internet assistance. These online services use other categories of cloud computing namely “Infrastructure-as-a-Service, Platform-as-a-Service, and Software-as-a-Service”.“Storage-as-a-Service (Staas)” is made available for the public use at certain prices. There are many service providers that are charging unreasonable amounts of money. So, we have come up with a better algorithm to overcome this problem. Our algorithm resolves the issue of transferring the data objects from one tier to another by excluding the prior information of the accesses. This algorithm allows us to find the breakthroughs for making transfer decisions.The proposed system makes sure that the Service Level Agreement (SLA) and reliability of reservations does remodel diverse resources and provide a tool that reduces victimization through Two-Tier StaaS.
Analysis of Melanoma Lesion Images using Feature Extraction & Classification Algorithms
Authors:   MCA Scholar, Department of Computer Science and IT, Amrita School of Arts and Sciences, Kochi, Amrita Vishwa Vidyapeetham, India, Rao* Manjunath , Fernandez Calvin Joshua ,   MCA Scholar, Department of Computer Science and IT, Amrita School of Arts and Sciences, Kochi, Amrita Vishwa Vidyapeetham, India., K. Sreekumar ,   Asst. Professor, Department of Computer Science and IT, Amrita School of Arts and Sciences, Kochi, Amrita Vishwa Vidyapeetham, India.
Published: April 2020

Among the most dangerous of cancers found in human beings, skin cancer is the prevalent one. These are of various forms. The most sporadic among them is melanoma. Early phase identification of melanoma will be helpful in curing it. Intensive skin exposure to UV radiation is the principal cause of melanoma. In this article, along with other techniques for extracting features (LDP [Local Directional Patterns], LBP [Local Binary Patterns], Convolutional Neural Networks [CNN]), we have used an SVM classifier for the study of melanoma skin photos. Such suggested algorithms are best graded when opposed to other recognition schemes. The LBP and LDP gives us means to extract features; these figures are subsequently used for identification of derived features from these methods or algorithms and classified or separated by the SVM (Support Vector Machine) classifier. For many of the classifications of melanoma skin images using these algorithms, we have accuracy nearly above 80 %, whereby the LBP system together with the SVM classifier was the most powerful attribute extraction tool of the three with their polynomial kernel type. Thus using this algorithm-classifier, the melanoma skin lesion images can be detected and diagnosed by the doctors in its early stage itself, resultantly, helping save lives.
Vision based hardware-software real-time control system for autonomous landing of an UAV
Authors: Blachut Krzysztof , Szolc Hubert , Wasala Mateusz , Kryjak Tomasz , Gorgon Marek
Published: April 2020

In this paper we present a vision based hardware-software control
system enabling autonomous landing of a mul-tirotor unmanned aerial
vehicle (UAV). It allows the detection of a marked landing pad in
real-time for a 1280 x 720 @ 60 fps video stream. In addition, a LiDAR
sensor is used to measure the altitude above ground. A heterogeneous
Zynq SoC device is used as the computing platform. The solution was
tested on a number of sequences and the landing pad was detected with
96% accuracy. This research shows that a reprogrammable heterogeneous
computing system is a good solution for UAVs because it enables
real-time data stream processing with relatively low energy consumption.
Implicações da Didática Profissional para a Formação do Professor de Matemática
Authors: Sousa Rosalide Carvalho de , Vieira Alves Francisco Régis , Fernandes Fontenele Francisca Cláudia
Published: April 2020

Este artigo tem o objetivo de verificar as relações entre a Didática Profissional e a Didática da Matemática, de modo a identificar possíveis contribuições para a formação de matemática, tendo como suporte teórico estudos sobre a Teoria dos Campos Conceituais, Transposição Didática e Situações Didáticas. Desse modo, foi realizada uma revisão bibliográfica, no intuito de relacionar os principais conceitos de cada teoria à atuação do professor de matemática em sala de aula e à didática profissional. Dessa forma, o presente trabalho aponta suportes qualitativos significantes como fornecer meios que proporcionem a compreensão da evolução do trabalho, por meio da aquisição de competências profissionais e situações didáticas profissionais, observação da regularidade das atividades dos alunos, troca de informações pragmáticas entre colegas de trabalho, compreensão da profundidade da natureza do erro, suas possíveis causas e mecanismos de operações, distinção dos termos saber e conhecimento matemático e, da perspectiva da formação continuada de professores iniciais, da transmissão da condição do conhecimento pragmático e epistêmico, possibilitando assim, desenvolver investigações com o aporte da Didática Profissional para a compreensão e o desenvolvimento de pesquisas, a partir da atividade do professor de matemática, que favoreçam uma modificação de postura-metodológica, constituindo assim uma mudança de atitude na ação de ensinar.
Trabalho Colaborativo e Escola de Tempo Integral: para onde os estudos nos orientam? (2008-2018)
Authors: Muniz Bruna Mendes , Ciríaco Klinger Teodoro , Gonçalves Harryson Júnio Lessa
Published: April 2020

Toma-se como objeto de análise, neste trabalho, um estudo bibliométrico dos periódicos indicados pela Sociedade Brasileira de Educação Matemática (SBEM) na última década (2008-2018). Para este fim, foram catalogados os artigos publicados nas revistas e identificou-se o periódico “Zetetiké” e “Revista Metáfora Educacional” para apresentação dos estudos sobre grupos colaborativos e escola de tempo integral, respectivamente. Além disso, na busca por respostas a questão geradora desta investigação não foi possível localizar a relação entre estas duas temáticas em um estudo específico do assunto, o que sinaliza para a importância de investimentos futuros dos pesquisadores na formação de trabalhos colaborativos que visem discutir a Educação Matemática no contexto do ensino integral. Conclui-se, assim, que para a efetivação dos princípios que regem tanto as diretrizes para a escola que se quer formar o aluno multidimensional quanto a implementação de práticas colaborativas, precisamos encarar estes dois pontos como políticas públicas educacionais emergentes.
Presente y Futuro de la Psicología Caribeña: República Dominicana, Cuba y Puerto Rico
Authors: González-Rivera Juan Aníbal , Pagán-Torres Orlando M.
Published: April 2020

Este editorial se compone de dos secciones principales. La primera parte es una conferencia magistral dictada el 28 de abril de 2020 por el Dr. Juan A. González-Rivera (editor de nuestra revista) en el lanzamiento oficial de la Revista Caribeña de Psicología. La segunda parte es la presentación oficial del Volumen 4, Número 1.
Beliefs about the Consequences of the Establishment of Betting Terminals on Attendance and the Promotion of Youth's Gambling
Authors: Emmanuel Aboagye  , Joseph Anthony Yawson
Published: April 2020

The increase in the number of betting terminals over the years has attracted many people to watch matches and stake odds. Since live matches have been found to provide more money for betting companies, betting companies are providing more options for people to stake live bets by establishing many terminals. Sports fans have also taken the opportunity to watch free live matches in the betting terminals. The current study examined the reasons why football fans prefer watching live matches in betting terminals instead of at the stadia. Using an Interpretative Phenomenological Analysis (IPA) the views of six football fans (bettors) were examined in betting terminals. Findings revealed that fans are attracted to watch matches at betting terminals based on cost-effectiveness and financial benefits, socialisation/atmosphere, watching many matches at the same time, and proximity (nearness of betting terminals to their homes). While the respondents foresaw the establishment of betting terminals as a threat to promote gambling among the youths they don’t support the ban on the establishment of betting terminals as they see it as an avenue to generate extra revenue. Suggestions and discussions for the future can be found in the appropriate section in this paper.
Examining the Health-Seeking Behaviours of Migrant Female Head Porters in the Kumasi Metropolis, Ghana
Authors: Boateng Simon
Published: April 2020

This study is a follow-up to an earlier publication which looked at migrant female head porters' enrolment in, renewal and utilisation of the National Health Insurance Scheme in the Kumasi Metropolis. Head porterage in the large urban markets in Ghana comes with several health issues. Research has shown that migrant female head porters are exposed to several physical, social and psychological health risks in their daily encounters with clients. This research, therefore, aims at examining the health-seeking behaviours of migrant female head porters in the Kumasi metropolis using the dimensions of availability, accessibility, affordability, accommodation and acceptability. The researcher used the cross-sectional survey in the context of quantitative approaches. A total of 378 respondents were sampled from the following markets (Asafo, Adum shopping centres, Bantama and Kejetia) in which the migrant female head porters operate through convenient snowball sampling technique. Charts, percentages and tables were used in the data analysis. The study uncovered that the most (67%) preferred healthcare provider among the female head porters was over-the-counter chemical seller. Meanwhile, these service providers pose a serious health risk as they constitute a major source of self-medication. Further discoveries showed that affordability was the primary constraint to quality health-care as 76% of the respondents bemoaned charges at healthcare facilities. The study recommends a comprehensive policy interventions to enhance mass enrolment of female head porters unto the National Health Insurance Scheme to reduce the cost of healthcare among head porters. Finally, to protect the interest of the female head porters, they should form a well-structured and coordinated association to give them a united front to pursue their collective interest and protect them from the challenges they face including the difficulties they face in accessing healthcare.