bluuebunny/crossref_metadata_2025 huggingface dataset:
An Evaluation of the Implementation of the Dual Language Programme (DLP) among Science and Mathematics Teachers
Authors:   National Child Development Research Centre, Faculty of Human Development, Sultan Idris Education University, Malaysia Sultan Idris Education University, Malaysia, Abdullah* Norazilawati , Wong Kung-Teck ,   National Child Development Research Centre, Faculty of Human Development, Sultan Idris Education University, Malaysia Sultan Idris Education University, Malaysia, Noh Noraini Mohamed ,   Faculty of Human Development, Sultan Idris Education University, Malaysia, Hamzah Mahizer ,   Faculty of Human Development, Sultan Idris Education University, Malaysia, Ghazali Nor Hasnida Che Md ,   Faculty of Human Development, Sultan Idris Education University, Malaysia
Published: December 2019

The Dual Language Programme (DLP) is a programme introduced under the foundation of Memartabatkan Bahasa Malaysia Memperkukuh Bahasa Inggeris (MBMMBI). The DLP was first implemented in 2016 at selected schools. As such, researchers had conducted a study to evaluate the implementation of the DLP for science and mathematics which has been used in secondary school based on the CIPP model from the aspect of context, input, process and product. The first objective of this research is to identify the level of context, input, process and product dimensions of the DLP. The second objective is to identify the relationship among the level of context, input, process and product dimensions during the implementation of the DLP with the teachers’ teaching experience. The third objective is to identify the advantages, weaknesses, challenges and suggestions by science and mathematics teachers in realising the DLP. This research had involved 210 teachers who taught science and mathematics in secondary school in Zone Keramat, Kuala Lumpur. This research was conducted using the survey form and interview questions as the research instruments. The data gathered from the research has been analysed using descriptive and inferential statistics by getting the value of the mean score and percentage and also the analysis of Pearson correlation. The data collected from interview were transcribed and analysed using Nvivo software. The result showed that the level of context, input and product dimensions were average while the level of process dimension was high. The research hypothesis was accepted where there was no relationship between context, process and product dimensions with the teachers’ teaching experience. From the interview, we found that the DLP has its advantages and also disadvantages, but the essential steps have been proposed in this research. In conclusion, this research has given a new contribution to science and mathematics teachers in Malaysia to evaluate and improve the implementation of the DLP as whole.
Local Homogeneity Based Morphological Operators for Segmentation of Fabric Defect via LSE
Authors:   Professor and Head, Department of ECE, KITS, Warangal-15, Telangana, India., Reddy* Dr.Ganta Raghotham , Girija S.P. ,   Associate Professor, Department of ECE, KITS, Warangal-15, Telangana, India.
Published: December 2019

At the cloth manufacturing industry, texture imperfection discovery turns into a vital and basic advance in good quality control. In this field, the interest is higher than conservative while a decrease in labor cost and related advantages are taken into consideration. In addition, the advancement of an entirely mechanized examination framework requires effective and strong calculations. To conquer this issue, in this paper, we present another texture imperfection location conspire which utilizes the neighborhood homogeneity. Its initial step comprises in processing another homogeneity picture designated as a H-image. Later the next step is the utilization of Morphological shutting to the H-image is ended by utilizing the Level Sets. Reproductions on various texture pictures and distinctive imperfection angles demonstrate that the proposed technique accomplishes a normal exactness of 99.35%.
Automatic Body Fall Detection System for Elderly People using Accelerometer and Vision Based Technique
Authors:   E&TC Engineering, Pravara Rural Engineering College, Loni, India., Turkane* S. M. , Vikhe Swapnil J. ,   E&TC Engineering, Pravara Rural Engineering College, Loni, India., Kadu C. B. ,   Instrumentation & Control Engineering, Pravara Rural Engineering College, Loni, India., Vikhe P. S. ,   Instrumentation & Control Engineering, Pravara Rural Engineering College, Loni, India.
Published: December 2019

Body Falls in older adults are the significant cause of injury. Falls incorporate dropping from a standing position or from uncovered positions, for example, those on stepping stools or stepladders. The seriousness of damage is commonly identified with the height of fall often leading to disability or death. In this research generally we uses wearable sensor and vision based technique that is automatically detect body fall as early as possible. Accelerometer is used for measuring or maintaining orientation and angular velocity. In vision based procedure first we procure casings or video arrangements from the camera. The division module separates the body outline from the foundation. For Feature Extraction we used GLCM method. SVM method is used for classification. By using those methods we can surely detect the human body fall and can take the preventive measures.
Social Entrepreneurship Among Students with Disabilities for Special Education Community using Digital Technology
Authors:   Computing & Educational Technology (PET), Faculty of Information & Communication Technology, Universiti Teknikal Malaysia Melaka, Durian Tunggal, Malaysia., Ku Mohd* Che Ku Nuraini Che , Shahbodin Faaizah ,   Pervasive Computing & Educational Technology (PET), Faculty of Information & Communication Technology, Universiti Teknikal Malaysia Melaka, Durian Tunggal, Malaysia., Rashid Nurulizwa Abdul ,   Faculty of Technology Management & Technopreneurship, Universiti Teknikal Malaysia Melaka, Durian Tunggal,, Jano Zanariah ,   Centre for Languages and Human Development, Universiti Teknikal Malaysia Melaka, Durian Tunggal, Malaysia, Al-Shami Samer Ali Hussein ,   Institute of Technology Management and Entrepreneurship, Universiti Teknikal Malaysia Melaka, Durian Tunggal, Malaysia.
Published: December 2019

The objective of this research is to explore the importance of entrepreneurship education for the improvement of students with disabilities. This study was involved by students and teachers who attended entrepreneurship program. The findings of this research showed educators, students with disabilities and practical consequences. This research was categorized academically the subject and educational curriculums of entrepreneurship students program. The efficacy of entrepreneurial education is determined by the degree to which learners perceive the entrepreneurial curriculum and their satisfaction. The greater the level of satisfaction, particularly after the students complete their school, the greater the efficiency of entrepreneurship training.
Photovoltaic Pumping System Fed by DC-DC Push Pull Converter
Authors:   Department of Electrical and Electronics Engineering, PSNA College of Engineering &Technology, Dindigul, Tamilnadu. India, Chandrasekaran* N. , Karthikeyan A. ,   Department of Electrical and Electronics Engineering, PSNA College of Engineering &Technology, Dindigul, Tamilnadu. India.
Published: December 2019

This paper is to design a photovoltaic DC motor pumping system powered by DC-DC push pull converter whose output can be used for irrigation purpose. The charge controller of the system will regulate the output voltage of photovoltaic module and charge the battery. The push-pull type DC-DC converter will increase the battery output voltage and supply the terminal voltage for the DC pump as per the requirement according to the design values. The photovoltaic module is used as a source which converts the light energy received from sun radiation into electrical energy. The produced electrical energy from the photovoltaic is in Direct Current form. So here, the DC pump is used as a load instead of AC pump where the inverter is to be placed which converts the DC into AC. In between the source and load, the charge controller, battery and push-pull type DC-DC converter are connected. The photovoltaic dc pump can be used for low power applications. The motor pump operating under DC power has many advantages than AC pump.
Performance of Classification Algorithms for Prediction of Crop Cultivation by Reducing the Dimensionality of a Data Set
Authors:   Associate Professor of Computer Science, Queen Mary’s College, Chenna, Tamilnadu, India., Rajeshwari* Mrs. I. , Shyamala Dr. K. ,   Associate Professor of Computer Science, Dr. Ambedkar Govt. Arts College, Vyasarpadi, Chennai, Tamilnadu, India.
Published: December 2019

Agriculture plays an important role in Indian economy. Maximizing the crop productivity in one of the main tasks that farmers are facing in their day to day life. They are also lacking in the basic knowledge of nutrient content of soil and selection of crops those best suits their soil thereby improving the crop productivity. In this work, the dataset has been taken from the soil test centres of Dindigul district, Tamilnadu. The parameters are the 12 various nutrients present in the soil samples collected from the different regions of Dindigul district. Using PCA, the dataset has been reduced to 8 parameters. Data Mining classification techniques like decision tree, KNN, Kernal SVM, Linear SVM, Logistic regression, Naive Bayes and Random forest are deployed on the original and dimensionality reduced datasets to predict the crops to be cultivated based on the availability of soil nutrient in the datasets. The performance of the algorithms are analysed based on certain metrics like Accuracy score, Cohen’s Kappa, Precision, Recall And F-Measures, Hamming Loss, Explained Variance Score, Mean Absolute Error, Mean Squared Error and Mean Squared Logarithmic Error. The Confusion matrix and Classification report are used for analysis. The Decision Tree is found to be the best algorithm for the soil datasets and dimensionality reduction does not affect the prediction.
E.B.C.D Apps
Authors:   Computer Science Department, UiTM Perlis Branch, Arau Campus, 02600 Arau, Perlis, Malaysia., Mazlan* Umi Hanim , Mohamad Mohd Faizzudin ,   Faizzudin was former student of UiTM Perlis Branch, Wan Ismail Wan Saiful’Azzam ,   Computer Science Department, UiTM Kelantan Branch, Machang Campus, 18500 Machang, Malaysia., Zainordin Raihana ,   Statistic Department, UiTM Perlis Branch, Arau Campus, 02600 Arau, Perlis, Malaysia., Ab Raji Nurul Hidayah ,   Mathematical Science Department, UiTM Perlis Branch, Arau Campus, 02600 Arau, Perlis, Malaysia.
Published: December 2019

Breast cancer is a life threatening disease that occurs when an unconstrained and irregular breast cell develops. There are five stages of breast cancer where stage 0 is considered as the early stage since the cancer cells are not spread outside of ducts yet. In this stage, the early symptoms are possible to be detected and if it is swiftly diagnosed, the probability that the cancer to be successfully treated is very high. Breast Self Examination (BSE) is one of the recommended screening methods but it is reported to be confusing and inconsistent. This is because BSE only provide guidelines for breast examination. It does not give any result that user can rely on. Therefore, this research aims to develop a mobile application which applies fuzzy logic method and adopts BSE process to help a person diagnose the early stage of breast cancer.
The Effect of Financial Distress, Debt Default and Audit Tenure on Going Concern Opinion
Authors:   Accounting Department, Faculty of Economics and Communication, Bina Nusantara University, Jakarta, Indonesia, Handoko* Bambang Leo , Kusuma Mahdi ,   Accounting Department, Faculty of Economics and Communication, Bina Nusantara University, Jakarta, Indonesia,
Published: December 2019

One of the accounting assumptions is going concern. Going concern is how company can survive in long time business operation. Going concern becomes very crucial for users of financial statements, namely investors and creditors. If the company in which the investor invests funds and the creditors lend their funds is bankrupt, then the investment and credit lent are in vain and the investor and creditor suffer losses. This study aims to examine the effect of financial distress, debt default, and audit tenure on the acceptance of going concern audit opinion in the period 2014-2018. This study uses secondary data from manufacturing companies financial report which listed in Indonesian Stock Exchange, using purposive sampling method, we obtained 28 companies that are feasible, so that the sample from the study amounted to 140 samples. Statistical tests were performed using SPSS version 24.0 using logistic regression analysis. The results of this study show that financial distress variables have a significant negative effect while debt default and audit tenure have a positive effect on the acceptance of going-concern audit opinion.
Fuzzy Positive Implicative and Fuzzy Associative WI-Ideals of Lattice Wajsberg Algebras
Authors:   Research Scholar, P.G and Research Department of Mathematics, H. H. The Rajah’s College, Pudukkotai, Affiliated to Bharathidasan University, Tiruchirappalli, Tamilnadu, India., Begum* C.Shajitha , Ibrahim A. ,   Assistant Professor, P.G and Research Department of Mathematics, H. H. The Rajah’s College, Pudukkotai, Affiliated to Bharathidasan University, Tiruchirappalli, Tamilnadu, India.
Published: December 2019

We introduce the definitions of fuzzy positive implicative WI-ideal and fuzzy associative WI-ideal of lattice Wajsberg algebra. Further, we prove every fuzzy positive implicative WI-ideal of lattice Wajsberg algebra is a fuzzy WI-ideal. Also, we discuss the relationship between fuzzy positive implicative WI-ideal and level subsets. Moreover, we give the relationship of fuzzy associative WI-ideal with fuzzy WI-ideal in lattice Wajsberg algebra. Finally, we study some characterizations of fuzzy associative WI-ideal.
Does Learning Style Predict Academic Performance of Engineering and Technology Students in India?
Authors:   VIT Business School, VIT University, Chennai, India., Alfonso* Thaddeus , Sophia Dr. Sharon ,   VIT Business School, VIT University, Chennai, India.
Published: December 2019

Learning styles have been associated with academic performance of engineering and technology students. The aim of the present study was to identify the learning styles of students and investigating the relationship between learning style subscale scores and academic performance, and thereby determining whether the learning styles predict the academic performance of engineering and technology students in India. We used the Index of Learning Styles (ILS) to determine the learning styles of students and used Cumulative Grade Point Average (CGPA) for academic performance. The Pearson correlation, ANOVA and stepwise regression tests were used to find the correlation between academic performance and learning styles, the difference between the academic performance of groups and to identify the predictors of academic performance respectively. The most strongly preferred learning style was sequential (75.1%). The academic performance had a significant positive correlation with age and four learning styles namely sequential, sensing, visual and active (p=0.000). The sequential learning style was the powerful predictor of academic performance of students in comparison to other learning styles (p=0.000). Studying methods of students and teaching approaches of faculty consistent with the sequential and sensing learning styles may increase the academic performance among students enrolled for engineering and technology degree course in the higher education institutions in India.
Performance of Symmetric and Asymmetric Encryption Techniques for Attribute Based Encryption
Authors:   Computer Science Department, Nirma University, Ahmedabad, India., Vashi* Devendrasinh , Bhadka Dr. H B ,   Faculty of Computer Science, C U Shah University, Wadhwan, India, Patel Dr. Kuntal ,   School of Computer Studies, Ahmedabad University, Ahmedabad, India, Garg Dr. Sanjay ,   Computer Science Department, Nirma University, Ahmedabad, India
Published: December 2019

The objective of this research article is to study performance of the the symmetric and asymmetric encryption based on the attributed encryption. In the current scenario, to protect the data in the distributed data base is the challenging task. Mainly to provide the privacy based on the specific parameter like attributed based encryption. In this algorithm dataset is provided to do the encryption for the selected sensitive attribute. Them for each symmetric and asymmetric encryption techniques encryption execution time and memory occupied after encryption is observed for ten different dataset. In the experiment and result analysis, each encryption techniques was discussed based on the comparion of encryption time and memory occupied after encryption. Result shows that RC2 encryption is less costlier as compare to AES, 3DES, Rijndael and RSA encryption. Result also indicates that 3DES and RC2 are almost need same encryption time and less costlier as compare to RSA, AES and Rijndael encryption and RSA encryption is more costlier as compare to AES, 3DES, Rijndael and RC2 encryption.
Experimental Research on Strength Properties of Concrete (M60) Partially Fine Aggregate Replaced with Waste Crushed Glass.
Authors:   Research Scholar JNTU College Of Engineering Ananthapuram, Lalitha* G. , Sashidhar C. ,   Professor In Civil Engineering Dept. JNTU College Of Engineering Ananthapuram, Ramachandrudu C. ,   Professor In Civil Engineering Dept Chiranjeevi Reddy Institute Of Engineering And Technology
Published: December 2019

Due to increased construction practices there was a very high demand in consumption of raw materials that are to be used in concrete. In the raw materials, sand is one of the major construction materials that is consumed adequately. It’s presence will be vanished due to excessive digging .The effect will be to the nearby localities .As well the stability hydraulic structures nearby river banks will be affected with this. To reduce digging practices the fine aggregate was partially replaced with waste crushed glass in 0%,10%,20%,30% andv40% along with 0.25%Super plasticizer SP 430 to achieve workability. The crushed glass is non-biodegradable and cannot be disposed off, also causes several environmental effects. By utilizing this waste as a useful material in the form as replacing material of fine aggregate we can reduce the waste content and in the same way it can be used as a resource. In order to check the concrete strength and durability tests like Compressive strength test, Split tensile strength test, Flexural strength test for 7,14,28 days curing and acid attack test, rapid chloride permeability test, Abrasion tests were conducted. SEM tests are also conducted on concrete with replaced fine aggregate. The current research work describes the proper utilization of waste crushed glass as a useful construction material.
Data Analytics and Mining in Healthcare with Emphasis on Causal Relationship Mining
Authors:   Department of CSE, Pondicherry Engineering College, Puducherry, India., Y* Sreeraman , Pandian S. Lakshmana ,   Department of CSE, Pondicherry Engineering College, Puducherry, India.
Published: December 2019

High volumes and varieties of data is piling every day from healthcare and related fields. This big data sources if managed and analysed properly will provide vital knowledge. Data mining and data analytics have been playing an important role in extracting useful information from healthcare and related data sources. The knowledge extracted from these data sources guiding patients and healthcare personnel towards improved health conditions. Analytical techniques from statistics, functionalities from data mining and machine learning already proved their capability with significant contributions to healthcare industry. The dominant functionality of data mining is classification which has been in use in mining healthcare data. Though classification is a good learning technique it may not provide a causation model which will be a reliable model for better decision making particularly in the medical field. The present models for causality have limitations in terms of scalability and reliability. The present study is targeted to study causal models for causal relationship mining. This study tried to conclude with some proposals for causal relationship discovery which are efficient, reliable and scalable. The proposed model is going to make use of some qualities of decision trees along with statistical tests and analytics. It is proposed to build the learning models on healthcare big data sources.
A Novel Authentication Mechanism for Cognitive Radio Network
Authors:   Assistant Professor, Dept. of ECE R.M.K. Engineering College, Kavaraipettai, Sarala* B. , Devi S.Rukumani ,   Professor, Dept. of ECE R.M.D. Engineering College, Kavaraipettai., Suganthy M. ,   Associate Professor, Dept. of ECE Vel Tech Multi Tech Dr.Rangarajan Dr.Sakunthala Engineering College, Avadi, Ida S.Jhansi ,   Assistant Professor, Dept. of IT, R.M.K. Engineering College, Kavaraipettai.
Published: December 2019

By employing an efficient authentication protocol the security of the Cognitive radio Network can be upgraded. This paper portrays a strategy for recognizing the Primary client Emulation Attacks in a CRN using cross layer approach. A few kinds of attacks have been discussed in this paper and an authentication scheme to detect PUEA has been presented. It is identified that the physical layer authentication method can serve as a faster authentication method but with low accuracy in detection.And a cryptography based authentication protocol can serve as a slower authentication method but with high accuracy in detection. In this paper a cross layer confirmation plot that joins both the physical and higher layer authentication is defined. The proposed method can provide good accuracy in detection without sacrificing the speed of the detection.A detecting procedure to detect PUEA in a CRN for a single user has been defined in this paper.
Recommender System for Nutrient Management Based on Precision Agriculture
Authors:   Ph.D., Scholar, Department of Computer Science, Alagappa University, Karaikudi, India., Yogeswari G. , Padmapriya Dr. A. ,   Associate Professor, Department of Computer Science, Alagappa University, Karaikudi, India.
Published: December 2019

Agriculture is the heart of our nation and society. It is influenced by several factors and parameters such as uneven monsoon, changing climate as well as weather circumstances, rainfall and nutrient facts during the harvest. Agriculture is primarily crucial and also the main source of our livelihood. But, owed to the scarceness of nutrients in plants, the human is strained to handle many dare in everyday life. The restoration of the nutrient is essential, in this view there is need to adopt precision agriculture system which change crop related plans and regulations, whereas nutrient management is a major domain that is needed to be spotlight in the field of farming techniques. The main aim of this research is to create an idea of developing a precision based recommender system for nutrient management and the main scope of this paper to describe the initial phase of the research. The experimental study of this research work is conducted using a terrace garden. The nutrient management with respect to the horticulture crop tomato is considered as the objective. The samples are grouped as two sets namely A and B representing samples without using natural fertilizers/manures and with natural fertilizers/manures. The growth parameters are analyzed and the results are presented. The data collection phase using sensors and Arduino kit is described here. The impact of pests and the remedy taken during the period of growth is recorded. The advices from the experts given in the soil tests are considered for preparing this nutrient management system.
Properties and Compatibility of Microflora for Creating Starter Cultures in Sausage Production Technology
Authors:   Kuban State Agrarian University named after I.T. Trubilin, Faculty of Processing Technologies, Krasnodar, Russia, Nesterenko* Anton , Koshchaev Andrey ,   Kuban State Agrarian University named after I.T. Trubilin, Faculty of Processing Technologies, Krasnodar, Russia., Kenijz Nadezhda ,   Kuban State Agrarian University named after I.T. Trubilin, Faculty of Processing Technologies, Krasnodar, Russia., Omarov Ruslan ,   Stavropol State Agrarian University, Stavropol, Russia, Shlykov Sergei ,   Stavropol State Agrarian University, Stavropol, Russia.
Published: December 2019

In recent years, the success of scientific research in the field of biotechnology has led to the development of new technologies to accelerate the production of smoked sausages, improve their organoleptic properties and significantly increase the guarantee of production of high-quality products. One way to intensify the process of raw smoked sausages is to use starter crops. The paper presents the results of a study of individual strains and a consortium of microflora used in the production of raw smoked sausages. The results and justification of changes in the functional and technological properties of raw meat after making starter crops are presented.
Online Education & School Students: A Reality Check
Authors:   Assistant Professor School of Business Studies Sharda University, Greater Noida (U.P.) INDIA, Verma* Dr. Priti , Trivedi Anjali ,   Research Scholar School of Business Studies Sharda University, Greater Noida (U.P.) INDIA
Published: December 2019

Online Education, a technology based modern tool of education, a class without wall and boundary; with a trail of advantages associated with it: Easy availability, global accessibility, affordable cost, flexibility of time, and green examination system; has gained popularity all over the world. In India, its use is being encouraged in the field of Higher Education, and the results appear to be positive. However, at Secondary School level, it is still at nascent stage. The objective of the paper is to find out whether in the secondary schools, the teachers, students and Parents are aware of the on line courses and are they willing to learn through online tuitions. This paper analyses the views of the students, parents and teachers regarding their ICT usage and whether they consider online education or courses as an ideal option for learning. The paper further discusses the acceptance and popularity of online education amongst the students, teachers & the parents. The findings show that on line education is not popular amongst the school going children, their parents as well as the teachers .It is almost the last choice for them. This questions the awareness of importance of online education among the concerned stakeholders.
QUASE: AN Ontology-Based Domain Specific Natural Language Question Answering System
Authors:   Research Scholar, Department of Computer Science & Engineering, Mewar University, Chittorgarh, Rajasthan, India, Mishra* Vaibhav , Khilwani Dr. Nitesh ,   Technical Architect, Edifecs RoundGlass, Noida, India.
Published: December 2019

Since early days Question Answering (QA) has been an intuitive way of understanding the concept by humans. Considering its inevitable importance it has been introduced to children from very early age and they are promoted to ask more and more questions. With the progress in Machine Learning & Ontological semantics, Natural Language Question Answering (NLQA) has gained more popularity in recent years. In this paper QUASE (QUestion Answering System for Education) question answering system for answering natural language questions has been proposed which help to find answer for any given question in a closed domain containing finite set of documents. The QA system mainly focuses on factoid questions. QUASE has used Question Taxonomy for Question Classification. Several Natural Language Processing techniques like Part of Speech (POS) tagging, Lemmatization, Sentence Tokenization have been applied for document processing to make search better and faster. DBPedia ontology has been used to validate the candidate answers. By application of this system the learners can gain knowledge on their own by getting precise answers to their questions asked in natural language instead of getting back merely a list of documents. The precision, recall and F measure metrics have been taken into account to evaluate the performance of answer type evaluation. The metric Mean Reciprocal Rank has been considered to evaluate the performance of QA system. Our experiment has shown significant improvement in classifying the questions in to correct answer types over other methods with approximately 91% accuracy and also providing better performance as a QA system in closed domain search.
Ant Colony Decision Tree Method to Detect the Suspicious News
Authors:   Department of Computer Science & Applications, Maharshi Dayanand University, Rohtak, India,, Kumari* Asha , Balkishan  ,   Department of Computer Science & Applications, Maharshi Dayanand University, Rohtak, India
Published: December 2019

The ease of availability and low cost of social media platforms has made the human vulnerable to devour the information from social media. Social media serves the unverified information which easily gets disseminated among people through different groups, applications, and other online social platforms. These fake news can lead to any suspicious activities which urges to derive the term suspicious news. The escalation of these suspicious news has open a lot of research ventures to detect and attenuate the impact on human. These suspicious activities have become a nuisance for legitimate users. Despite the presence of existing methods for the suspicious news detection exists, but the continuous growth of such activities is difficult to manage with an individual approach. In this research work, an ensemble approach is considered to detect suspicious news content. Here, Ant Colony Decision Tree method is ensembled for the detection of suspicious news (ACDTDSN). This approach uses the heuristic function and pheromone trail to obtain the optimal solution. The overall functionality of system is based on the content based approach for the detection of suspicious news with steps of dataset consideration, pre-processing, feature selection, and classification. The experimentation is performed using the FakenewNet dataset which consist of BuzzFeed and PolitiFact categories of news content. The results of the proposed ACSTDSN framework are accessed with the performance evaluation measures.
Identification of suitable Critical Success Factors (CSFs) to implement the Total Quality Management (TQM) in the Hospitality Industry
Authors:   School of Management Studies, Vels Institute of Science, Technology & Advanced Studies, Chennai, India., Jagannathan V. , Faisal* A. Mohammed ,   School of Management Studies, Vels Institute of Science, Technology & Advanced Studies, Chennai, India.
Published: December 2019

Total Quality Management (TQM) can be used for business process improvement to achieve the quality service in the hotel business. The objective of this paper is to identify the suitable Critical Success Factors (CSFs) for implementing TQM in the Hotel industry. Analytic Hierarchical Process (AHP) analysis is done to identify the importance of CSFs. Web based analysis is used to analysis the AHP. The study has identified the suitable TQM’s CSFs of such as customer satisfaction or focus, top management commitment and leadership and employee involvement or focus or satisfaction are important CSFs to implement the TQM in the hotel industry. Based on the AHP analysis, the study has identified the suitable CSFs of TQM related to customer focus or satisfaction (CF = 0.4288), top management and leadership (TM = 0.2548) and employee involvement (EI = 0.2346) are important CSFs to implement the TQM in the hotel industry. The least importance is given to Continuous improvement (CP = 0.0818).
Health Status of Tribals at Kallakinaru, Kodaikanal Hills, Tamil Nadu
Authors:   Dept. Of Economics, Vels Institute Of Science, Technology And Advanced Studies, Chennai, India, Shanmugapriya* M. , Sugumar Dr. S.N. ,   Professor & Head, Dept. Of Economics, Vels Institute Of Science, Technology And Advanced Studies, Chennai, India
Published: December 2019

Development of health and longevity of people is equally important as the economic and social development of the people in a country. Prosperity and productivity of a nation depend upon the quality of population which in turn is determined by the education and health status of the people. Technological advancement and scientific development indicate the development of education, but the health condition of the people is not up to the mark as we compare with the scientific advancement. It is a fact that most of the people are suffering from non-communicable diseases such as blood pressure, diabetes, cancer, kidney, lung and heart diseases. Most of the deaths are also take place due to non-communicable diseases. Therefore, the authors made an attempt to examine the health status of kallakinaru tribals at kodaikanal hills, Tamilnadu. It is vivid that most of the people in the village are suffering from many human ailments due to illiteracy and inadequate income.
Enhancing Prediction of Prosthetic Fingers Movement Based on sEMG using Mixtures of Features and Random Forest
Authors:   Department of Electrical Engineering, Hashemite University, Zarqa Jordan., Al-Sharu* Wafaa N. , Alqudah Ali Mohammad ,   Department of Biomedical Systems and Informatics Engineering, Yarmouk University, Irbid Jordan.
Published: December 2019

As the recent development of the prosthetic control systems, it is necessary to develop the sub-components such as myoelectric control system. This sub-system is used to acquire electromyogram (EMG) signals from a person's muscles and convert it to movements to control prosthetic hands or fingers. Recently, researchers started focusing on providing feature extraction methods for both time domain and frequency domain for predicting either hand or finger movements. This paper proposes a new mixed feature set for both time and frequency domain for the classification of surface EMG (sEMG) into ten classes for controlling prosthetic finger movements. The features are based on enhanced statistical features extracted directly from a non-overlapped window with a predefined length which was selected carefully from the sEMG directly. Ten classes of individual and combined finger movements are to be recognized by using two sEMG channels from two electrodes are fixed on the human forearm to employ effective knowledge discovery and pattern recognition algorithms to enhance the recognition and classification accuracy. and the other features are statistical features extracted from Instantaneous frequency of the signal to utilize a suitable classifier helps detecting and recognizing the pattern from sEMG signals of different classes of the fingers movements either combined or single movement to enhance the classifier performances and to find the whole class of all extracted window ,a majority voting technique was applied.The method used the random forest as a classifier to build the classifier model which achieved an accuracy of 93.75% and sensitivity of 93.73% and specificity of 99.31%.
Occupational Health and Safety of Workers in Pharmaceutical Industries
Authors:   Department of Management, Eternal University, Himachal Pradesh-173101, India., Khanna* Shivani , Kumari Geeta ,   Department of Management, Eternal University, Himachal Pradesh-173101, India., Bhanawat Hemant ,   Department of Commerce, Eternal University, Himachal Pradesh-173101,India, Pandey K. M. ,   Department of Mechanical Engineering, National Institute of Technology Silchar, Assam-788010, India.
Published: December 2019

Workers are the most significant resources for an association as they contribute the most towards the accomplishment of an association which relies upon the basic abilities of its human capital that pays to the occupational safety and health of employees in the work environment. The present study is led with the objective to highlight occupational safety and health actions for the employees and their satisfaction level accompanied occupational health and safety services provided by the chosen pharmaceutical organizations. It additionally highlighted the awareness and training program undertaken by the organizations. The analysis of the current study has been done by suitable mathematical and statistical tools consisting of percentage analysis, mean (average), standard deviation, and correlation and regression analysis depending upon the objectives of the study. The outcomes demonstrated that the representatives of both organizations are genuinely happy with the continuous training program on risk of health and safety of workers. With regard to health and safety at work, the chosen pharmaceutical companies offer their employees with numerous facilities. Likewise, the fulfillment level of the employees by means of these measures is high, which is a decent picture of a balanced relationship between the management and the employees.
Automated Evaluation of Students’ Feedbacks using Text Mining Methods
Authors:   IT Department, KIET Group of Institutions affiliated to AKTU Lucknow, Ghaziabad, India., Ahmad* Sartaj , Gupta Ashutosh ,   School of Science in UPRTU, Allahabad, India,, Gupta Neeraj Kumar ,   EN Department, KIET Group of Institution affiliated to AKTU Lucknow, Ghaziabad, India
Published: December 2019

In this era of competition there is a culture of online reviews or feedbacks. These feedbacks may be about any product or service. However, major issues are their unstructured textual form and big number. It means every user gives feedback in own style. Study and analyzing of such unorganized big number of feedbacks that are growing every year becomes herculean task. This paper describes about mining of structured data (table) and unstructured data (text) both. An application from academic environment for structured and unstructured form of data is considered and discussed to enhance understanding and easiness of researcher. Stanford Parser plays a very useful role to understand the semantic of a sentence. It gives a base that how to separate data from the wellspring of information accessible in the literary structure like web based life, tweets, news, books and so on. It is also helpful to judge a teaching learning process in terms of teacher’s performance and subject’s weakness if any. This paper has five sections first about introduction, second about literature of text mining and its techniques, third about proposed work and result, fourth about future perspectives and finally fifth as a conclusion.
The Mixed Logic Style based Low Power and High Speed One-bit Binary adder for SOI designs AT 32NM Technology
Authors:   Instrument Technology, Andhra University, Visakhapatnam, AndhraPradesh, India, Kommu* Chaitanya , Rani Dr. A Daisy ,   Instrument Technology, Andhra University, Visakhapatnam, AndhraPradesh, India.
Published: December 2019

Binary adders are the fundamental building blocks to construct Data Processing arithmetic units. A novel one-bit full adder is presented in this paper which is designed by Mixed logic design style. In addition to small size transistors and reduced transistor activity compared to conventional CMOS (Complementary Metal Oxide Semiconductor) gates, it provides the priority between the High logic and Low logic for the computation of the output. Various logic topologies are used to design the one-bit full adder like High-Skew(Hi-Skew), Low-Skew(Li-Skew), TGL (Transmission Gate Logic) and DVL (Dual Voltage Logic). This new approach gives the better operating speed, low power consumption compared to conventional logic design by reducing the transistors activity and by improving the driving capability. This Mixed logic style provides 83.53% average power consumption and Propagation Delay of 14.02% at 0.8v. The H-SPICE simulation tool is used for construction and evaluation of the Full adder logic at different voltages. The 32nm model file is used for MOS transistors.
Technology Gaps among South East Asia Countries from the Perspective of Technology Achievement Index
Authors:   S.E., Entrepreneurship Department, BINUS Bandung School of Creative Technology, Bandung, Indonesia., Ratnapuri Chyntia Ika , Inayati Dr. Tutik ,   S.Mn, Entrepreneurship Department, BINUS Bandung School of Creative Technology, Bandung, Indonesia
Published: December 2019

Countries within South East Asia regions have gaps in technology development, where how much the gaps exist is difficult to measure. This study explores the gap among countries utilising Technology Achievement Index as the main indicator and tool and analyse how discrepancies may occur. The results show large amount of data absences that makes acknowledging recent gaps difficult. Despite of data unavailability, gaps among countries are not as dreaded. Among all countries, Singapore still takes the lead of overall Technology Achievement Index compared to other South East Asia countries whilst Timor-Leste becomes the lowest of overall Technology Achievement Index. By knowing the gaps in the Technology Development in South East Asia, this study expected to give a contribution to technology policy makers so that developing countries in the South East Asia can have a room to continue to thrive in economic development because technology advancement is one of the significant factors in the economic growth of a country. Future regional agreements in South East Asia are needed to achieve mutual benefits of technology development especially for science and technology policy makers.
Design and Development of an Intelligent Aqua Monitoring System using Cloud Based Online Access Control Systems
Authors:   Department of Chemical Engineering, UKA Tarsadia University, Bardoli, India., Gupta* Ms. Shalinee , Sharma B* Dr. S S P M ,   Department of EE, Mewar University, Chittorgarh, India.
Published: December 2019

In the existing scenario Internet of Things and remote sensing scientific procedures were employed in diversified streams of analysis for supervising, regulating and examining the information from distant localities. Guzzle aqua is a indispensable entity for every person its effectiveness encounters regular confronts during the process of performance. These complications emerge by the reason of restricted aqua assets, extension of inhabitants, and rapid growth of basic facilities. Consequently there is a requirement for improvement in activities of the system to supervise the aqua characteristics. To an extent disproportion in aqua attributes will lead to damage the fitness of people, creatures and as well as influence physical surrounding stability among its types. So as to guarantee the sheltered stock of guzzling aqua the standard should be contemplated steadily. Aqua contamination is perhaps the greatest dread for the green globalization. So as to covenant the protected stockpile of the drinking water the caliber should be armour innovatively. In the proposed system we contemporary a stratagem and intensification with an ease configuration for incessant corroboration of the aqua quintessence in IOT (internet of things).The system is incorporated with a certain sensors is conventional to reckon palpable and ersatz variables of the aqua. The variables, for an exemplar, temperature, PH, turbidity, stream transducers of the aqua can be reckoned. The wanton standards from the transducers can be concocted by the controller. The Arduino model can be employed as a controller. At enduring, the transducer information can be perceived on web servers with the help of WI-FI module.[2]
Evaluation of HEN controllability
Authors:   chemical and process engineering , suez university, suez, egypt, Gouda* M. , Kaoud M. ,   chemical and process engineering , suez university, suez, egypt., Aly S.M. ,   chemical and process engineering , suez university, suez, egypt, Awad M.E. ,   chemical and process engineering , suez university, suez, egypt
Published: December 2019

In the last three decades the importance of resolve a robust, rigorous and operable heat exchanger networks (HEN) is boosted due to the change in the concepts of effective cost of a HEN several methodologies are applied to solve the operability aspects of a HEN including flexibility and controllability of a HEN in this work a systematic approach is introduced to solve the controllability issue for HENs. The work framework consist of two major steps where in the first step a disturbance propagation model for a HEN is constructed adopting Yang et.al disturbance model[1][2][3]. The second step is to install a bypass to reject the disturbance then pair the manipulated and controlled variables in a HEN using NS-RGA (None Square Relative Gain Array) and SVD (Singular Value decomposition), by adopting controllability index developed by Westphalen et al.[4]to measure the HEN controllability and finally a cost tradeoff between the bypass installation and utility installation to control the same disturbance is evaluated to check for the more cost effective method to eliminate and reject the disturbance in hand.
Cost Analysis Based Algorithm for Load Shared Multiple Induction Motor Set-up
Authors:   Department of EEE, RNSIT, Bangalore, India., Nayak* Roopa , Pallavi Dr. Andhe ,   EIE Department, RNSIT, Bangalore, India.
Published: December 2019

Majority of the industrial processes are generally carried out using a motor-drive arrangement. The quality of the final output of a process largely depends on the performance and reliability of the motor drive sets. Failure of motor running the process can result in a complete shutdown of the process. Certain processes may not even afford to offer downtime for maintenance. Downtime of motors can severely affect the quality of the end- product of a process. Although there are many tools and algorithms to predict the failure and maintenance patterns for motor, this paper presents a novel means to increase the reliability of motor-drive arrangements. It also presents a cost analysis framework in choosing a motor-drive arrangement for a particular load.
Integrated Secure Health Domain System using IoT
Authors:   Faculty, Sri Harshini Degree & PG College, AP, India,, Valeti* Nagarjuna , Sharmila V.Ceronmani ,   Associate Professor, Department of Information Technology, Hindustan Institute of Technology and Science, Chennai, India
Published: December 2019

Fog computing plays major role in health care system. Fog performs well compare with cloud computing. Health care system needs more enhancements because there sensitivity. It is very important to secure the data in the health care system. Though there are many systems for health care security still there are issues to secure the data transfer from client to the fog by cloud computing. In the previous papers, we have discussed QOS parameters and various preventions to transmission of data from sensors to fog. IOT is most widely used in health systems to increase the performance which adopted with fog computing. In this paper, the integrated secure health domain system (ISHDS) used to overcome the system failures and providing the security for the health care data in various situations.