bluuebunny/crossref_metadata_2025 huggingface dataset:
Impact of Work-Life Balance on Employee Retention- A Study on Banking Sector
Authors: Sindhuja K , Sekar Subramanian S
Published: January 2020

Work is an essential aspect of life; it provides a sense of accomplishment, identification, and means of income to fulfill the basic requirements. Due to the development of technology, the number of women workforces and dual-earner families, it is important for both employers and workers to balance both professional and personal life. This study examines the effectiveness of the work-life Balance of bank employees and its impact on employee retention in the selected banks in Sivakasi, Virudhunagar district. This paper also identifies the various work-life balance initiatives taken by the banks to reduce employee turnover and to enhance employee job satisfaction. A sample of 245 respondents was randomly selected to participate in the study. A well-structured questionnaire was used to collect the data. The findings revealed that the work-life balance has a direct impact on employee’s retention and it also helps to improve the employee’s job satisfaction.
Impact of Mahatma Gandhi National Rural Employment Guarantee Act on Rural Households: A Case Study in Davanagere District of Karnataka
Authors: Harish N
Published: January 2020

The Mahatma Gandhi National Rural Employment Guarantee Act (MGNREGA) has been playing an important role in employment generation and poverty alleviation in rural India. It was “an Act to provide for the enhancement of livelihood security of the households in rural areas of the country by providing at least one hundred days of guaranteed wage employment in every financial year to every household whose adult members’ volunteer to do unskilled manual work and for matters connected or incidental thereto”. In this paper, an effort has been made to evaluate the changes in terms of employment level, income level, expenditure pattern, savings pattern, and living standard of the sample beneficiaries in the study area between pre- MGNREGP and post- MGNREGP period; and to offer policy measures to improve the performance of the MGNREG program in generating rural livelihood. The present study is mainly based on primary data collected directly from the selected sample beneficiaries of MGNREGP through personal interviews. Simple statistical tools like averages, ratios, percentages have been employed for the analysis. The main findings reveal that the proportion of employment generation, income generation, average expenditure, and savings, and assets creation were found to be quite significant in the post-MGNREGP period as compared to that of in pre-MGNREGP period in the study areas.

Similarly, the MGNREGP has made a positive impact on the living standard of sample beneficiaries in the study areas. Based on the findings, the study suggested that the statutory 100 days of employment per adult member of the rural household should be guaranteed instead of 100 days per rural household. This would help to improve the income level of households who mainly depend on MGNREGP for their livelihood, and the performance of MGNREGP in backward (Jagalur) taluk is low. Therefore the officials should take for effective implementation of the program in the backward areas.
Convex Fuzzy Soft Metric Space
Authors: Vasuky M , Uma A
Published: January 2020

In this paper, we investigate the concept of fuzzy soft metric space in terms of fuzzy soft points. The convex structure of fuzzy soft metric spaces is defined and we introduce the convex fuzzy soft metric space. Also we established the fixed point theorem of convex fuzzy soft metric space.
Factors Influencing the Development of Microbes in Food
Authors: Preetha S S , Narayanan Rita
Published: January 2020

In this review article, the different parameters, mostly intrinsic, extrinsic, implicit, and processing, that have an impact on the microbial growth in the food environment has been discussed in detail. Intrinsic factors (pH, moisture content, O/R potential, antimicrobial constituents, biological structures, and nutrient content) as well as extrinsic parameters (Relative humidity, storage temperature, gaseous environment and activities of other microbes in the environment) determines the range and population of microorganisms associated with the food at any given point throughout their production and post-harvest handling, thus influencing the rate and type of spoilage that eventually renders the food inedible.
A Relationship Between Self-Esteem and Teaching Competency of Prospective Teachers
Authors: Srinivasan R , Pugalenthi N
Published: January 2020

The present study seeks to measure the relationship between teaching competency and self-esteem of prospective teachers. The Self-Esteem Scale (SES) developed and standardized by Rosenberg, M revalidated by the investigator in 2019 and Teaching Competency Scale (TCS) constructed and standardized and validated by the investigator in 2019 for prospective teachers. The investigator has been used to collect the data from the sample of 650 prospective teachers studying in Coimbatore, Nilgiris, and Tirupur district of Tamilnadu, India. The findings of the study revealed that there is no significant difference in teaching competency of prospective teachers about gender, there is no significant difference in self-esteem of prospective teachers about gender, there is no significant difference between the mean scores in the teaching competency with the type of college and there is no significant difference between the mean scores in the self-esteem to the kind of college levels.
HIZLANDIRICILAR İLE GÜÇLENDİRİLMİŞ SU ROKET TASARIMI
Authors: KARACA Necati , KARAGÖN Ahmet , KESKİN Koray , KUŞ Alihan , SEVER Hv.müh.tğm. Mert , GÖKER Ümit Deniz
Published: January 2020

Bu
çalışmamızda, ana roketten ayrılacak olan hızlandırıcılara sahip bir su roketi
modelinin teorik olarak tasarımı yapılmış ve bu tasarım için en uygun parametre
değerleri belirlenmiştir. Bu roket yapısı tasarlanırken, önce temel su roketi
yapısına ve nasıl hazırlanıldığına değinilmiş ve sonrasında da hızlandırıcılara
sahip su roket yapısı detaylı bir şekilde anlatılmıştır. Bununla birlikte,
tasarlayacağımız su roketi için MATLAB programıyla analitik hesaplamaya
gidilmiştir; farklı başlangıç parametreleri (kullanılan malzeme, roket
parçalarının ebatları, eklenecek roket parçaları vb.) girilerek farklı kalkış parametre değerleri ve sonuçları
hesaplanarak, bu sonuçları veren bir tablo hazırlanmıştır.
Bu çalışmada, lise öğrenimi düzeyindeki öğrencilerin fizik dersinde rahatlıkla
uygulamaya koyabilecekleri su roketinin yapımında kullanılacak parametrelerin
verilmesi amaçlanmıştır.
SECONDARY SCHOOL STUDENTS’ CONCEPTUALISATION OF HUMAN BODY ORGAN SYSTEMS
Authors: Dulun Öykü
Published: January 2020

Drawing method along with the written responses of 1st year International Baccalaureate Diploma Programme (IBDP) secondary school students wes used to determine their understanding of the concepts of human body organ systems. Due to the time limitation, misconceptions were not evaluated in this research. The focus of this research was mainly to determine the frequency of the drawn organ systems by the students to find out their knowledge prior to the upcoming chapter in IBDP Biology curriculum, Topic 6: Human Physiology, so that the curriculum implementation plan can be built considering the data collected in this small-scale research. Spontaneous drawings of students in support with open-ended questions were used in this current research to make qualitative analysis of the students’ ideas on human body systems and their functions. The mean age of the students was 18.1 (range 18-19) in this study which did not focus on the gender differences. The participants had studied at various middle schools before they started this high school. Therefore, there was great diversity due to the participants’ background however they were all being taught International General Certificate of Secondary Education (IGCSE) Biology in grade 9 and 10 prior to IBDP. It was found that the only organ system among ten of those, which the students reached level 5 was urinary system. They still need further support on digestive, muscular and skeletal systems as well as the lymphatic system.
Policing of sex work in South Africa: The positive policing partnership approach
Authors: Evans Donna Maree , Richter Marlise L. , Katumba Munyaradazi I.
Published: January 2020

All aspects of sex work are criminalized in South Africa. Due to their marginalized position in society, sex workers are often the target of police violence and human rights violations, all of which have far-reaching implications for public health. Existing complaint mechanisms and police oversight structures rarely ensure accountability for sex worker human rights violations. In 2016, various sex work sector stakeholders and allied civil society members partnered in a collaborative project to document the operational policing challenges and record a contemporary evidence base of sex worker rights violations by law enforcement. The findings demonstrated that violation of sex worker human rights is systemic, pervasive, and entrenched. The project approach helped catalyze a move away from more traditionally adversarial approaches, withstakeholders from the South African sex work sector forming the Positive Policing Partnership (PPP) as an advocacy vehicle to drive positive, solution-focused engagement on the operational policing challenges. The PPP focuses on collaboration, innovative partnerships, and capacity building. Concurrently, the COC Netherlands Dignity, Diversity and Policing project has successfully embedded a rights-based police training curriculum in partnership with the South African Police Service (SAPS). These projects employ different strategies and frameworks to catalyze positive change and to support effective engagement between the sex work sector, law enforcement, and government. This article provides a snapshot of the formation, activities and progress of these projects to date, teamed with a summary of key strategies and learnings.
Authentication of the P2P Network using the Aggregated Fidelity Score Method
Authors:   Department of Computer Science, Government Arts College (Autonomous), Karur (Tamil Nadu), India., Saranya M. S. , Thangadurai Dr. K. ,   Assistant Professor and Head, Department of Computer Science, Government Arts College (Autonomous), Karur, (Tamil Nadu), India.
Published: January 2020

The most important issue in the P2P network is authenticating whether a network can be fully trusted before permitting full access and if the non-credible peers in a network gains access to the network it will actually cause lot of security related problems like man in the middle attack and denial of access attack. To overcome these attacks and to safe guard the peer network, a new fidelity based method is presented in this paper. The notion here is to calculate the loyalty score of the network based on the percentage of data delivered successfully and search time taken by the node and then if the score is higher than the permissible threshold value, the network is considered as a credible network and if the score is less, then the data on the network is blocked to ensure the curtail of the aforementioned attacks. The simulation results showcased that the proposed fidelity based approach is superior and performed with a high success rate and with less delay and drop rates.
Design of a Decentralized PID Controller for Poultry House System using Genetic Algorithm
Authors:   Mohammed V University of Rabat, High School of Technology (EST), LASTIMI Laboratory, Morocco., Lahlouh* Ilyas , Chebli Samira ,   Mohammed V University of Rabat, High School of Technology of Sale, LASTIMI Laboratory, Morocco., Elakkary Ahmed ,   Mohammed V University of Rabat, High School of Technology, LASTIMI Laboratory, Morocco., Sefiani Nacer ,   Mohammed V University of Rabat, High School of Technology, LASTIMI Laboratory, Morocco.
Published: January 2020

Climate control for livestock building is of considerable significance but it is additionally a difficult and convoluted task. The chickens are mainly affected by the variation of temperature and relative humidity. The arrangement of these parameters is accomplished by selecting proper control techniques. In this paper, an optimized controller for the stabilization of the poultry house system has been designed in order to reduce the heat stress of broilers and to achieve the preservation of chickens’ health and comfort. A hygro-thermal model describing the behavior of the poultry house is decomposed into two single loops based on the theory of the effective open-loop transfer function. Adopting a model reduction technique, the equivalent transfer function of each loop is then designed by developing an independent multi-loop PID controller. The initial stability of the reduced model is assured via the Hermite-Biehler theorem. Then, the Genetic Algorithm is adopted to search the optimal gain values that contribute to the desired indoor climate monitoring. An extensive numerical simulation is tested with original experiments measures to show the effectiveness of the design control and the results are compared to those of the ant colony optimization and Ziegler-Nichols methods.
Finding Inverse of a Fuzzy Matrix using Eigen value Method
Authors:   Department of Mathematics, Chabahar Maritime University, Chabahar, Iran., Farahani Hamed , Ebadi* M. J. ,   Department of Mathematics, Chabahar Maritime University, Chabahar, Iran., Jafari Hossein ,   Department of Mathematics, Chabahar Maritime University, Chabahar, Iran.
Published: January 2020

The present paper extends a concept of the inverse of a matrix that its elements are fuzzy numbers, which may be implemented to model imprecise and uncertain features of the problems in the real world. The problem of inverse calculation of a fuzzy matrix is converted to solving a fuzzy polynomial equations (FPEs) system. In this approach, the fuzzy system is transformed to an equivalent system of crisp polynomial equations. The solutions of the crisp polynomial equations system is computed using eigenvalue method. Also, using Gröbner basis properties a criteria for invertibility of the fuzzy matrix is introduced. Furthermore, a novel algorithm is proposed to find a fuzzy inverse matrix. Achieving all entries of a fuzzy inverse matrix at a time is a big advantage comparing the existence methods. In the end, some illustrative examples are presented to demonstrate the algorithm and concepts.
An Adaptive Neuro-Fuzzy Model for Quality Estimation in Wireless 2D/3D Video Streaming Systems
Authors:   Department of Computer Science, College of Computer, Qassim University, Buraidah, Saudi Arabia., Alsukayti* Ibrahim S.
Published: January 2020

Delivering high Quality of Experience (QoE) is essential to the success of today’s subscription for internet video streaming services. Quality of Service (QoS) metrics are considered by the research community as the most influential factor on video QoE. Therefore, establishing QoS-QoE correlation becomes critical for improving video QoE estimation. This paper presents experimental development of effective correlation between QoE and QoS for both 2D and 3D video streaming services. This is then used to build an objective QoE estimation model for real-time streaming of both 2D and 3D video contents over wireless networks. This model is based on using Adaptive Neural Fuzzy Inference System (ANFIS) to estimate the perceived video QoE. The proposed QoE model was trained with a set of media and packet layers’ metrics, taking into account the effect of video content type, dimension, and different packet loss metrics. The performance of the proposed QoE estimation model shows a considerable estimation accuracy with a correlation coefficient of 92% and 0.167 RMSE.
Optimization and Development of Gluten-free Noodles from Foxtail Millet using Response Surface Methodology
Authors:   Assistant Professor, Department of Food Technology, Bannari Amman Institute of Technology, Sathyamangalam, Tamil Nadu, India., R* Sinthiya.
Published: January 2020

The current study is being conducted to optimize the use of Composite flours of Wheat and Foxtail millet, Guar gum through Response Surface Methodology (RSM) to produce gluten-free millet noodles. For the current research, the base materials such as wheat flour (40-80 g), Foxtail millet flour (20-60g) and Guar gum (0.50-1.00 g) assumed as independent variables which are optimized after performing RSM .The following responses are predicted for Gluten content, Glycemic index, cooking loss, cooking time and Sensory traits. 17 Exceptional combinations are generated within the experimental design and are analyzed in order to know the influence of independent variables on responses.The values of processed raw materials such as wheat flour, foxtail millet flour and guar gum are respectively obtained as 60 g, 40 g and 0.75 g.The Gluten content, Glycemic index, cooking loss, Cooking time and sensory characteristics are found 14 g, 49 index, 10 min, 12.6 % and 5, respectively.
Cryptographic Algorithm based Feature Level Fusion of Fingerprint and Iris in a Multi-Biometric Recognition System
Authors:   Department of Information Technology, PSG College of Technology, Anna university, India., Jayapriya*  , K Umamaheswari ,   Department of Information Technology, PSG College of Technology, Anna university, India.
Published: January 2020

Biometric encryption is one of the developing exploration area, which is a strategy for merging biometric features with cryptographic keys. Biometric Recognition is based on the anatomical and behavior attributes of the individuals. Multibiometric is the combination of various biometrics like Fingerprint, Iris, and Face, Fingervein etc. Experts are concentrating on the most proficient method to give security to the framework, the template which was produced from the biometric should be ensured. The main objective of this paper is to protect the multi biometric template by creating a protected sketch by deploying bio cryptosystem. Once the biometric template is stolen it turns into a major issue for the security of the framework and furthermore for client protection. In this way, a bio-crypto framework ensures the confidentiality of the information. In this paper bio cryptosystem is proposed to improve the security of multimodal frameworks by producing the biocrypto key from Finger print and iris. Gray level co-occurrence matrix (GLCM) based Haralick features, local binary pattern (LBP), triplet half-band filter bank (THFB) and dynamic features (DF) are extracted from fingerprint and iris. The high dimensionality space of the features are reduced using kernel principal component analysis (KPCA. Finally, the encoding process is matted with biometric key utilizing symmetric RSA (Rivest-Shamir-Adleman) cryptographic algorithm.
Data Mining Probabilistic Classifiers for Extracting Knowledge from Maternal Health Datasets
Authors:   Ph.D. from Department of Computer Science & IT, University of Jammu, India., Sourabh*  , Mansotra Vibhakar ,   Professor in Department of Computer Science and IT, University of Jammu, India.
Published: January 2020

Data Mining is an important sub-process of Knowledge Discovery in Databases (KDD) or Knowledge Discovery Process (KDP) methodology that is mainly used for applying various data mining techniques and algorithms on the target data. In this research paper, the authors have made an attempt to discover knowledge by classifying the maternal healthcare data of Jammu and Kashmir State of India (now declared as Union Territory by the Government of India). The data for the present research work was collected from a web portal named as Health Management Information System (HMIS) facilitated by Ministry of Health and Family Welfare (MoHFW), Government of India. The data consists of diverse health parameters pertaining to the maternal health of women and for this study, the maternal healthcare data of all districts of Jammu and Kashmir State was considered. Two data mining classifiers viz. Bayesian TAN and Naïve Bayes were applied for classifying the districts of Jammu and Kashmir State into High MMR and Low MMR districts based on the available past data from 2014 to 2018. Additionally, evaluation measures viz. Accuracy, F-measure, Area under the Curve (AUC), and Gini have been used to evaluate the performance of the models developed by Bayesian TAN and Naïve Bayes.
Data Leak Identification in Social Networks using K Means Clustering & Tabu K Means Clustering
Authors:   Research Scholar, Computer Science and Engineering, Annamalai University, Chidambaram, India., Karthik* Jayavarapu , Tamizhazhagan Dr.V. ,   Assistant Professor, Information TechnologyAnnamalai University, Chidambaram, India., Narayana Dr.S. ,   Professor, Computer Science and Engineering, Gudlavalleru Engineering College, Gudlavalleru, India.
Published: January 2020

The prevention of leakage of data has been defined as a process or solution which identifies data that is confidential, tracks the data in a way in which it moves in and out of its enterprise to prevent any unauthorized data disclosure in an intentional or an unintentional manner. As data that is confidential is able to reside on various computing devices and move through several network access points or different types of social networks such as emails. Leakage of emails has been defined as if the email either deliberately or accidentally goes to an addressee to whom it should not be addressed. Data Leak Prevention (DLP) is the technique or product that tries mitigating threats to data leaks. In this work, the technique of clustering will be combined with the frequency of the term or the inverse document frequency in order to identify the right centroids for analysing the various emails that are communicated among members of an organization. Every member will fit in to various topic clusters and one such topic cluster can also comprise of several members in the organization who have not communicated with each other earlier. At the time when a new email is composed, every addressee will be categorized to be a potential leak recipient or one that is legal. Such classification was based on the emails sent among the sender and the receiver and also on their topic clusters. The work had investigated the technique of K-Means clustering and also proposed a Tabu - K-Means (TABU-KM) technique of clustering to identify points of optimal clustering. The proposed TABU-KM optimizes the K-Means clustering. Experimental results demonstrated that the proposed method achieves higher True Positive Rate (TPR) for known and unknown recipient and lower False Positive Rate (FPR) for known and unknown recipient.
The Formation of Digital Competence by Means of Open Educational Resources
Authors:   Associate Professor, Doctor of Philosophy, Head of the Department of Natural and Mathematical Science and Speech-Language Therapy, Kherson State University, Kherson, Ukraine., Sagan* Olena V. , Kabelnikova Natalia V. ,   Associate Professor, Doctor of Philosophy, Head of the Department of Natural and Mathematical Science and Speech-Language Therapy, Kherson State University, Kherson, Ukraine., Liba Oksana M. ,   Associate Professor, Department of Theory and Methodology of Primary Education Mukachevo State University, Mukachevo, Ukraine., Liba Natalia S. ,   Associate Professor, Department of Accounting and Taxation and Marketing of Mukachevo State University, Mukachevo, Ukraine.
Published: January 2020

The article deals with the problem of the formation of person’s digital competence. The analysis of the European frame of digital competence allowed specifying the main tasks for the educational system: acceptance of those competences that are relevant for modern digital community and are basic in educational process during the whole life; formation of teacher’s digital competence; creation of open educational systems. The analysis of the level of formation of digital competence among primary school teachers and university lecturers shows the gap between the achieved results and challenges of the modern society. One of the ways in solving of the given problemis the creation and testing of open educational resources, as well as unified means for monitoring of digital quotient.
Loss Minimization by Reconfiguration in Radial Distribution Network using Whale Optimization Technique
Authors:   Assistant Professor (Adhoc) in Jntuacep, Pulivendula , Kadapa Dist, Andhra Pradesh, India, Rafi* Vempalle , Dhal P.K. ,   Professor in Electrical & Electronics Engineering Department at Vel Tech Rangarajan Dr.Sagunthala R&D Institute of Science and Technology, Chennai, India
Published: January 2020

This paper provides a new approach for solving the problem of network reconfiguration in the presence of Whale Optimization Algorithm (WOA). It is aimed at reducing actual power loss and enlightening the voltage profile in the supply system. The voltage and branch current capacity constraints have been included in the objective function evaluation. The method has been evaluated at three separate heuristic algorithms on 33-bus radial distribution systems to demonstrate the performance and effectiveness of the proposed method. In this paper the comparison of performance of two latest optimization techniques such as Whale Optimization Algorithm (WOA) with classic optimization techniques such as Genetic Algorithm (GA) and Particle Swarm Optimization (PSO). The new optimization technique produces better result compare to other two optimization logarithm..
Machining Parameter optimization by using Taguchi Technique for CNC turning of Grade T6 Aluminium alloy
Authors:   Department of Mechanical Engineering, Narayanaguru College of Engineering, Manjalumoodu - 629151, Tamilnadu, India., J P* Pratheesh , Anand M. Dev ,   Department of Mechanical Engineering, Noorul Islam Centre for Higher Education, Noorul Islam University, Kumaracoil - 629180, Tamilnadu, India., C P Dr. Jesuthanam ,   Principal/Professor, Department of Mechanical Engineering, Narayanaguru College of Engineering, Manjalumoodu - 629151, Tamilnadu, India., J P Prakash ,   Department of Mechanical Engineering, Narayanaguru College of Engineering, Manjalumoodu - 629151, Tamilnadu, India., S Shajin ,   Department of Mechanical Engineering, Narayanaguru College of Engineering, Manjalumoodu - 629151, Tamilnadu, India.
Published: January 2020

With the increase in demand for producing products with good surface finish within reduced time. Selection of suitable parameters for machining in CNC lathe is much required from the operator’s point of view. To attain the desired parameters this study deals taguchi technique as a tool in process parameter optimization using carbon insert CNMG tool in turning of AA6063 alloy. L9 orthogonal array is selected for conducting the experiments and for this Feed, Cutting Speed, Depth of Cut are the process parameters. The ANOVA and S-N ratio is used to analyse the characteristic performance of the turning operation performed. From the results of ANOVA the most influential parameter in reducing the surface roughness is found as depth of cut. Finally for various process parameter combinations the surface roughness is calculated and the optimum parameter for machining is attained by using Taguchi. For authentication of the optimum output attained in optimization experiments have been conducted to get maximum surface finish when machining the aluminium alloy in CNC turning.
Mechanical Behaviour of Coconut Coir Fibre Reinforced Unsaturated Polyester Composite
Authors:   Department of Mechanical Engineering, Narayanaguru College of Engineering, Manjalumoodu - 629151, Tamilnadu, India., J P* Prakash , Anand M. Dev ,   Department of Mechanical Engineering, Noorul Islam Centre for Higher Education, Noorul Islam University, Kumaracoil - 629180, Tamilnadu, India., C P Dr. Jesuthanam ,   Department of Mechanical Engineering, Narayanaguru College of Engineering, Manjalumoodu - 629151, Tamilnadu, India., J P Pratheesh ,   Department of Mechanical Engineering, Narayanaguru College of Engineering, Manjalumoodu - 629151, Tamilnadu, India., Krishnan M P Dhanu ,   Department of Mechanical Engineering, Narayanaguru College of Engineering, Manjalumoodu - 629151, Tamilnadu, India.
Published: January 2020

With low cost, simplicity of manufacturing and the abundant availability of natural fibers have tempted the researchers to try the available fibres and to investigate their possibility of using it for the purpose of reinforcement. Since Coir fiber is renewable, eco-friendly, less weight and has good mechanical performance it is considered as one of the best alternative to Carbon fiber. In this present work the ability of coir fibre in improving the mechanical characteristic has been studied. Four specimens having different weight fractions (5%,10%,15% &20%) of coir fiber with polyester matrix is prepared and their corresponding mechanical properties has been determined. In this work the fiber is treated with Sodium Hydroxide (NaOH) for attaining good fiber separation and hand- lay-up practice have been employed for composite manufacturing. To find the mechanical characteristics of composite the following tests were performed on the prepared specimens like tensile test, Flexure and hardness test. Experimental result reveals that the composite with 15% coir fiber have a maximum tensile strength of 26.5Mpa From the Experimental results it is evident that the increase in coir fiber weight fraction results in improving the mechanical properties of the composite.
Microcontroller Based Efficient Automated Cattle Fodder System
Authors:   Associate Professor and NCC Officer in the Department of Electrical and Electronics Engineering at School of Electrical Sciences in Kongu Engineering College, Raghavendran* Major Dr.P.S. , B.E. Dr.T.Logeswaran ,   ME.,Ph.D., working as Assistant Professor (SG) in the Department of Electrical and Electronics Engineering at School of Electrical Sciences in Kongu Engineering College., Ambayeram M. ,   pursuing B.E in the Stream of Electrical and Electronics Engineering in Kongu Engineering College., Hemasree T. ,   pursuing B.E in the Stream of Electrical and Electronics Engineering in Kongu Engineering College., Keerthana S. ,   pursuing B.E in the Stream of Electrical and Electronics Engineering in Kongu Engineering College., Naveen J. ,   pursuing B.E in the Stream of Electrical and Electronics Engineering in Kongu Engineering College.
Published: January 2020

An automatic fodder system Was developed that automatically feed the cattle food (sorghum) at a predetermined time without the need of labour . In a way, it is to control the cattle feeding activity by using a system that is generally combined with the mechanical system and electrical systems to form an automatic fodder system (AFS) instead of manually feeding. The cattle owners whom are away for a long time will have troubles about knowing the situation of the feeding cattle. Thus, this automatic cattle fodder device is very convenient, and easily monitorable. The device will consist of a gear motor, wiper motor, circular saw blade, conveyor and Microcontroller8051.The cutter is used to cut the sorghum into small pieces a to fed the cattle. This improves the animal digestion and prevents animal from rejecting any part of their food. A timer is used to control the number of cutting time at an interval of time. Plus, there is an IR sensor to sense the cattle feed. With this, the user or the owner can be away from home get benefited through useful data that are receivable through communication. Further future development may be done by including the load cell to measure the exact weight of the chaffs for the analysis purpose which is helpful for efficient cattle fodder system.
Women Safety Dress using Stun Gun Technology
Authors:   Department of EEE, Kongu Engineering College, Perundurai, Erode., Gowrishankar* P. , Logeswaran T. ,   Department of EEE, Kongu Engineering College, Perundurai, Erode., Surendar V. ,   Department of EEE, Kongu Engineering College, Perundurai, Erode, Shriram B. ,   Department of EEE, Kongu Engineering College, Perundurai, Erode., Sivamuruganandam J. ,   Department of EEE, Kongu Engineering College, Perundurai, Erode., Vasanth S. ,   Department of EEE, Kongu Engineering College, Perundurai, Erode.
Published: January 2020

The ultimate aim of introducing this paper is to control or prevent the crime against them. We propose a stun gun technology-based women safety dress with GPS. This method consists of a system that provides physical security in the case when the women are harassed or whether she is in trouble. In this paper, we proposed an ATMEGA controller and an android application in which both the device and mobile phone are synchronized using the ESP module. This paper will prove to be very useful in saving lives as well as preventing atrocities against women. This system uses a panic key, a boost converter and a GPS module which provides the location of a woman who is in trouble and the stun gun technology which will provide physical protection to the women. If the panic key is pressed, it turns on the system by sending an alert message to the woman’s relatives via android application. The kit is also be accessed by the parents or relatives via the IoT module. At the instance, whenever the panic key is pressed, it provides the high voltage shock pulse to a stranger via the boost converter.
Bayesian Model Averaging in Exchange Rate of Malaysia Ringgit to China Yuan Renminbi
Authors:   Actuarial Science Programme, Faculty of Science and Technology, Universiti Kebangsaan Malaysia, 43600 Bangi, Selangor, Malaysia., Samsudin* Humaida Banu , Ping Tan Li ,   Actuarial Science Programme, Faculty of Science and Technology, Universiti Kebangsaan Malaysia, 43600 Bangi, Selangor, Malaysia.
Published: January 2020

The depreciation of Malaysia Ringgit (MYR) value since 2013 until 2016 have brought many negative impacts on Malaysia’s economy such as the depreciation of export value and the appreciation of import value. Such impacts are getting more severe when the exchange rate of MYR to the currency of Malaysia’s biggest trading partner, China Yuan Renminbi (CNY) is increasing. The study is conducted to explain the movement in the exchange rate of Malaysia Ringgit to China Yuan Renminbi (MYR/CNY). The four macroeconomic factors used to build the estimation models for the exchange rate of MYR/CNY in this study are relative current account balance, relative trade openness, relative sovereign debt, crude oil price. The estimation models are built using two different methods, Bayesian Model Averaging (BMA) and Multiple Linear Regression (MLR). The comparison of the results from the two models in the context of model accuracy shows that BMA model has better performance capability than MLR model in estimating the exchange rate of MYR/CNY.
Unique Common Fixed Point Results with Application in Fuzzy Metric Spaces
Authors:   Department of Mathematics, Maharishi Markandeshwar, Deemed to be University, Mullana, Haryana, India., Gupta* Vishal , Tripathi Adesh Kumar ,   Department of Mathematics, Maharishi Markandeshwar, Deemed to be University, Mullana, Haryana, India., Mani Naveen ,   Department of Mathematics, Sandip University, Maharashtra, India.
Published: January 2020

Fixed points in fuzzy theory plays a very significant task in the field of mathematical and computer sciences. This theory has numerous applications in the area of communication and technology, computer science and information security and many others. Many researchers established the results of point for an assortment of mappings in different metric spaces. In present paper, our aim is to establish a common fixed point theorem satisfying generalized contraction in FMS. We also bestow an application for integral type contraction.
Cryptography Involving Musical Notes and Genetic Algorithm
Authors:   Research Scholar in the Department of Computer Applications (MCA) at SRK University, Bhopal, India., Mandle* Amit Kumar , Namdeo Varsha ,   Associate Professor in the Department of Computer Science and Engineering at SRK University, Bhopal, India.
Published: January 2020

The object of this paper is to established a symmetric key algorithm for encryption and decryption of a message involving musical notes (India and Western) and genetic algorithm. This algorithm does not only encrypt the message but it also reduces the chance of deciphering from hackers.
Mini Hydropower Plant for Supporting the Renewable Resources at Madong, Toraja Utara Regency Sulawesi Selatan Province-Indonesia
Authors:   Department of Water Resources, Faculty of Engineering, University of Brawijaya, Malang, Indonesia., Limantara* Lily Montarcih , Marsudi Suwanto ,   Department of Water Resources, Faculty of Engineering, University of Brawijaya, Malang, Indonesia., Hakim Afif Taufliqul ,   Department of Water Resources, Faculty of Engineering, University of Brawijaya, Malang, Indonesia.
Published: January 2020

Sulawesi Selatan is one of the provinces with high amount of electricality consumption. By the high amount of electricity consumption, electrical energy is needed to be provided. To provide the electricity we need the energy source. The river in Madong village, Toraja Utara Regency has the characteristic that potentially can be an energy source. To get the benefit from the Madong river, we need the study of designing and economic analysis. From analyzed data of the selected flood discharge (Q100) to be 488.55 m3.s-1 and the selected plant discharge (Q40) to be 13.18 m3.s-1. This hydropower was designed with a concrete and circle-shaped weir. There are the other components such as intake, feeder canal, settling basin, volume, headrace, fore bay and penstock. The penstock is using the welded steel material, with 2 m of diameter and 12 mm of thickness. Then, there is a tailrace that will transmit the water back to the river. The selected turbines are 2 units of Francis type, with the 12.59 MW power produced and 68.92 GWh energy produced in a year. The result of economic analysis, the project is feasible with BCR 1.29, NPV 135 Billion rupiahs, IRR 12.68%, and Payback period within 15.43 years.
Rural ESL Teachers’ Acumen in Teaching Idioms: Traditional and Modern Methodology
Authors:   Faculty of Education in National University of Malaysia, Bangi, Selangor, Malaysia., Raj* Suhashini Selva , Hua TAN, Kim ,   Associate Professor, Faculty of Social Sciences and Humanities, Universiti Kebangsaan Malaysia.
Published: January 2020

Idioms pose countless barriers to natural language processing and linguistic theory. Investigating how teachers teach idioms in schools using various methodologies is important. The therapy of idioms is fundamentally distinct in traditional and modern methods. Thus, this article has outlined the placement of idioms in traditional and modern methodologies and determined the acumen of English as second language (ESL) teachers in teaching idioms. Additionally, this article has uncovered the problems concerning idiom teaching by comparing ways on how idioms are handled in traditional versus modern methods through illustrating teachers’ cognition and views. Data were collected from four rural ESL teachers through qualitative study by using interview protocol. Findings showed that rural ESL teachers prefer to apply traditional method in teaching idioms as they are akin to explicit instructions. The use of traditional and modern methods to teach idioms generally varies depending on teachers and the method’s unique implication on the learners. Thus, this research paper could be a guidance for the rural ESL teachers from all around the world to make instructional decisions in teaching of idioms by taking into account rural pupils’ proficiency level, preferred learning style and their socioeconomic background.
Speech Classification using Logical ART Deep Mechanism of Machine Learning
Authors:   Research Scholar, EWIT, Bangalore, India, S* Pooja Nayak , Hiremath S G ,   Professor and Head, Department of ECE, EWIT, Bangalore, India, Birader Arun ,   Professor, CMR University, Bangalore, India
Published: January 2020

Apart from this there are many domains including medical, voice synthesis, hate speech classification and other custom applications where classification of speech plays an important role. The conventional techniques of speech processing and classification works on a small data set also provide lower accuracy of the classification. This paper introduces a learning model using neural network (NN) for the large dataset machine training and classification using critical feature analysis for the pattern of speech spectrogram and waveforms. The performance evaluation of the proposed training model for the speech classification is validated on a single CPU and found to achieve (12-82) % of accuracy in just 5-epochs and also continuously decreases the loss at successive iteration of the epochs. This method provides learning model framework for the speech processing and classification for a very large dataset.
Design and Implementation of Security Device with Dual Wireless Communication Interface for Cloud-based Framework
Authors:   Licenciatura en Ingeniería Informática, Universidad de Panamá,, Mela José Luis , Herrera Edwin Cedeño ,   Ph.D.*, Profesor, Facultdad de Informática, Electrónica y Comunicación, Universidad de Panamá,, Mendoza Gloris Batista ,   Profesora, Facultad de Informática, Electrónica y Comunicación, Universidad de Panamá,
Published: January 2020

This research work is aimed at developing a low-cost security device for intrusion remote sensing, and sends alert notifications to a cloud platform. This device is basically composed of a passive infrared sensor (PIR), an MCU ESP32 microcontroller with integrated Wi-Fi interface and a SIM800L GSM modem. The proposed device incorporates fault tolerance in communication links, integrating dual wireless communication technologies, to guarantee the sending of alerts to the cloud-based framework. The algorithm that has been designed for the microcontroller are enriched with intelligence to detect when a communication service is available or not, and choice best option between the interfaces. Moreover, the device is able to notify alerts via SMS directly to the user's mobile. This solution has proven to be effective not only in the field of security, but it also has applications in scenarios where nodes are required to acquire information from remote sites via telemetry, with guarantees on information delivery.
Effective Intrusion Detection System by using LOS Classifier
Authors:   Assoc. Professor, Department of Computer Science and Engineering, Koneru Lakshmaiah Education Foundation, Vaddeswaram, AP, India., Sai* Dr.N. Raghavendra , Kumar M.Jogendra ,   Asst.Professor, Department of Computer Science and Engineering, Koneru Lakshmaiah Education Foundation, Vaddeswaram, AP, India, Basha Dr.Pathan Hussain ,   Assoc.Professor, Department OF CSE ML Engineering College, Kumar G.Sai Chaitanya ,   Assoc.Professor, Department OF CSE Sri Vani Group Of Institutions
Published: January 2020

With winning advances like catch of Things, Cloud Computing and Social Networking, mammoth proportions of framework traffic associated information area unit made Intrusion Detection System for sort out security suggests the strategy to look at partner unapproved access on framework traffic. For Intrusion Detection System we are going to call attention to with respect to Machine Learning Approaches. it's accomplice rising field of enrolling which can explicitly act with a decent arrangement of less human affiliation. System gains from the data intentionally affirmation and makes perfect objectives. all through this paper we keep an eye on zone unit going to separated styles of Machine Learning pulls in near and had done relative examination in it. inside the last we keep an eye on territory unit going to foreseen the idea of hybrid development, that might be a blend of host principally and framework based for the most part Intrusion Detection System.
Heuristics of Machine Learning for Home Intrusion Detection Application
Authors:   Department of Electronics and Computer Engineering, KLEF, Andhra Pradesh, India., Sneha* Chatharajupalli Navya , Sreenidhi Illuri ,   Department of Electronics and Computer Engineering, KLEF, Andhra Pradesh, India., Satyanarayana Penke ,   Department of Electronics and Computer Engineering, KLEF, Andhra Pradesh, India.
Published: January 2020

Security has become a very vital role in present modern world. We need security for various applications and for our data. In particular security in home application is very crucial. So to serve this purpose in an efficient and easy manner we developed an intrusion system where in HOG (Histogram of Oriented Gradients) algorithm is used to detect person and an API to give alerts for intrusion. HOG is the Machine Learning (ML) algorithm used particularly for the person detection. The API used here is TWILIO which is the most suitable API for sending messages within seconds and accurately. Since every system is becoming automated we focused more on implementing the HOG and making the system to learn by itself and perform accurate results. In this paper we explained how HOG algorithm is implemented to detect the person entering the house and send the alerts as the person is detected. The accuracy of the model along with further developments that can be possible is given in detail.
Automatic Feeder for Sericulture
Authors:   Department of Electrical and Electronics Engineering, Kongu Engineering College, Perundurai, Erode, India,, kumar* R.Ranjith , Aravindh P. ,   Department of Electrical and Electronics Engineering, Kongu Engineering College, Perundurai, Erode, India,, Kavinesh T. ,   Department of Electrical and Electronics Engineering, Kongu Engineering College, Perundurai, Erode, India,, Sathyanarayanan Y. ,   Department of Electrical and Electronics Engineering, Kongu Engineering College, Perundurai, Erode, Sedhumaadhavan P. ,   Department of Electrical and Electronics Engineering, Kongu Engineering College, Perundurai, Erode, India,
Published: January 2020

Sericulture, or silk farming, is the cultivation of silkworms to produce silk. Sericulture has become an important cottage industry in countries like Brazil, China, France, India, Italy, Japan, Korea, and Russia. Today, China and India are the two main producers with more than 60% of the world's annual production. The major hurdle in this field is shortage of manpower. From the survey it is absorbed that the most time-consuming process in sericulture is feeding of worms with mulberry leaves. As the feeding system for sericulture is concerned, the technologies available in market are of no match to feed the worms efficiently. This project “Automatic -Feeder for Sericulture” aims to provide the solution for the existing problem. The project comprises a movable feeder box mounted over the line following Rover. Four axis movement of Rover and vibrating slider ensures the uniformity in spreading the leaves. This project is designed to feed the leaves automatically. The special design of the rover enables to feed the worms in their growth place (RACKS).