bluuebunny/crossref_metadata_2025 huggingface dataset:
Denoising of EEG Signals using Wavelets and SIMULINK Techniques
Authors:   Professor, Methodist college of Engineering and Technology Hyderabad, INDIA., Kumar Dr.B.Krishna
Published: February 2020

The Electroencephalogram (EEG) is the standard technique for investigating the brain’s electrical activity in different psychological and pathological states. Analysis of Electroencephalogram (EEG) signal is a challenging task due to the presence of different artifacts such as Ocular Artifacts (OA) and Electromyogram. Normally EEG signals falls in the frequency range of DC to 60 Hz and amplitude of 1-5 μv. Ocular artifacts do have the similar statistical properties of EEG signals, often interfere with EEG signal, thereby making the analysis of EEG signals more complex. In this research paper, removal of artifacts was done using both matlab coding as well as SIMULINK DWT and IDWT blocks by setting the various parameters of the blocks. The implementation of denoising of EEG signal using SIMULINK DWT and IDWT blocks is explained in detail in the paper under the methodology heading. In this paper the collected EEG signal is normalized and later linearly mixed with the normalized EOG signal resulting in a noisy EEG signal. This noisy EEG signal is decomposed to 4 levels by using different wavelets. This decomposition of EEG signals yields approximate and detail coefficients. Later different thresholding techniques were applied to detail coefficients and estimated the Signal to Noise Ratio of it.
Value System Efficiency on Product Features of Premium Two Wheelers in Tamilnadu
Authors:   Associate Professor, Department of Management Studies, Karunya Institute of Technology and Sciences, coimbatore. India, Amuthan* Dr.R.
Published: February 2020

This study has been carried to find out what factors influence the consumer buying behavior of premium segment motorcycle customers which follows consumer oriented marketing philosophy .The primary focus of this study is to learn the consumer wants , needs and behavior of the specific target market. An intuitive understanding of the premium motorcycle consumer behavior is the key to the growth of premium segment motorcycle manufacturers to be highly successful in the future. These highly priced premium segment motorcycle companies are highly centered on understanding the customers to continue growth and sustain their market position in the industry even in times of tough competition and changing business environments. This study investigates on the expectation of Consumers in Initial, Pick up, Mileage, Riding Comfort, Safety features and Key Accessories Cum Tyre Tube at the point of sale and the same consumers’ satisfaction level after purchase the vehicles. Whether there is any mismatch between before Purchase and after purchase, if yes, in which brand, it was found in this study. This consumer research study is highly helpful particularly for the potential buyers on taking up strategic managerial decisions whether to buy premium two wheelers, if yes which brand.
Digital Image Watermarking at Different Levels of DWT using RGB Channels
Authors:   Professor, Department of Computer Science, Dr.P.G.Halakatti Centre, Rani Channamma University, vijaypura-Karnataka, India., Savakar* Dr. Dayanand G. , Pujar Mr. Shivanand ,   Department of Computer Science Rani Channamma University Belgavi Karnataka
Published: February 2020

This paper presents a digital image watermarking scheme comprising of DWT transformation. Due to the common practice of creating the copy, transmitting and spreading the data duplication of the original data occurs. Digital image watermarking has the ability to provide a solution for the unauthorized duplication problem. The scheme designed and presented in this paper comprises of mainly two modules one for embedding the watermark within the cover image and another for retrieving the watermark from the watermarked image. The process is carried out at different levels of the DWT transformation within different sub-bands of the DWT transformation. The extraction process involves the extraction of the watermark image form different channels of the RGB image mainly red, green and blue. The robustness and imperceptibility are tested. In each of the case, the corresponding PSNR and correlation values are noted and the results obtained concludes the scheme as the robust, semi-fragile and fragile digital image watermarking at different levels of the DWT transformation
SMART Public Enterprises using Semantic Knowledge Management
Authors:   Department of Information Technology,BBDNITM, Lucknow, India., Darbari* Manuj , Ahmed Hasan ,   Deputy Commissioner, Indian Revenue Service, New Delhi, India., Singh Purna Kam ,   Officer on Special Duty, Indian Revenue Service, New Delhi, India.
Published: February 2020

The paper highlights the issue of Administrative style using New Administrative Management by merging Psychological Style and IT infrastructure support. The paper proposes an elaborated Transformation Process using Semantic Knowledge management through Ontology. The tool used in the transformation process is DROOL.
Simulated output of Continuous Interleaved Sampling and Frequency Amplitude Modulation Encoding techniques used in Cochlear Implant
Authors:   Department of Computer Science, Banasthali Vidyapith University, Jaipur, India, Gupta* Deepti , Mathur Pratistha ,   Department of Information Technology, Manipal University Jaipur, Jaipur, India., Tewari Peeyush ,   Department of Applied Science, Birla Institute of Technology, Noida, India.
Published: February 2020

Cochlear Implant (CI) is an excellent electronic device to overcome congenital or profound hearing loss in humans. It provides an alternative to the natural hearing for the hearing-impaired humans in the form of artificial electrical hearing. Several coding techniques such as Continuous interleaved sampling (CIS) and Frequency amplitude modulation encoding (FAME) is used in CI for the conversion of analog signal to the digital one. This study is intended to assess the performance level of these two techniques in music, vowels, words perception with different channels to assess the quality of hearing in hearing impaired person.
Effect of Social Networking Technology Addiction on Academic Performance of University Students in Nigeria
Authors:   lecturer, Accounting Department, Federal College of Agriculture Ishiagu, Ebonyi State, Ndubuaku* Victor , Inim Victor ,   Eenior lecturer, Accounting Department, Nile University of Nigeria., Ndudi Ufodiama Clifford ,   B.Sc.,Doctoral Student, University of Nigeria, Samuel UdoEmmanuel ,   Doctoral student, University of Nigeria., Prince Abner Ishaku ,   Postgraduate Student at the University of Nigeria.
Published: February 2020

The benefits of social media networking platforms on students’ academic performance in contemporary times cannot be, overemphasized. These social networking platforms crafts out opportunities for information sharing andalso danger for students in diverse fields. The danger of social networking addiction on students’ academic performance, health, and social well-being triggered this study.400 students enrolled in this cross-sectional study, through stratified random sampling technique. Using the online survey of Google Form for data collection. The Ordinary Least Square and Pearson’s correlation coefficient was used to quantify and examine the impact. Findingsrevealed that social networking impact significantly on students’ academic performance, and was more prevalent among undergraduate students (P = 0.000). Pearson’s correlation coefficient revealed a significant relationship between social networking addiction, academic performance, health and social well-being of students (p=0.001). The misapplication of social media can become addictive among users and students.Cognitive Behavioral Therapy is proposed to diminish the negative effect of social network addiction on students and other co-users.
Mechanical Properties of Kevlar Fibre Reinforced With Banana Fibre and Aluminium Mesh using Epoxy Resin
Authors:   Associate Professor, Department of Production engineering, Sai Ram engineering College,Chennai,Tamilnadu,India, Arunprasad* S. , Abish S. ,   Student, Department of Production engineering, Sai Ram engineeringCollege, Chennai,Tamilnadu,India, Aravind V. ,   Student, Department of Production engineering, Sai Ram engineering College, Chennai,Tamilnadu,India, Krishna U. Ashwin ,   Student, Department of Production engineering, Sai Ram engineering College, Chennai,Tamilnadu,India
Published: February 2020

Kevlar fibres are para aramid fibres rather than Meta-Aramid structure of Nomex. These fibres have high tensile strength, tensile modulus and heat resistance .Kevlar is about five times lighter than steel in terms of the same tensile strength. In fact, it is the strongest textile fibre available today. It is therefore used in Radial tyres, Conveyor belts, Aircraft parts and mainly used in Ballistics and Frictional products. The aim of this investigation is to increase the mechanical properties of composite material of Kevlar fibre. The Kevlar fibre is reinforced with the banana fibre,which is a Natural Fibre and Aluminium Mesh using Epoxy resin. The Mechanical Properties of Newly formed Composite material using Kevlar Fibre is improved and find its application in a higher position while comparing to the Kevlar Fibre.
Assessment of Deployment of DGs and D-STATCOMs in Distribution Network using Gravitational Search Algorithm
Authors:   Department of Electrical Engineering, College of Engineering Roorkee, Roorkee, India., Arya* Aadesh Kumar , Kumar Ashwani ,   Department of Electrical Engineering, N.I.T Kurukshetra, India,, Chanana Saurabh ,   Department of Electrical Engineering, N.I.T Kurukshetra, India,
Published: February 2020

The assessment of distribution network (DN) for reduce the losses and improve power quality, obtaining precise allocation of distributed generation (DG) and distribution static synchronous compensator (D-STATCOM) is mandatory in DN. This paper shows DN analysis with allocation of DG and D-STATCOM for various cases. The nature inspired metaheuristic method, the Gravitational Search Algorithm (GSA) is proposed to obtain the precise allocation of DG and D-STATCOM individually and simultaneously in DN for power losses reduction and total annual energy saving for distribution network operator. To check the performance of algorithm, it is tested on IEEE 33 and IEEE 69 buses DN for various positions of DG and D-STATCOM in DN. The proposed algorithm's performance is compared by some existing algorithms. It is found that proposed technique is able to reduce losses and annual energy saving in distribution network.
An Efficient Sequential Clustering Based Classification Model for Diabetes Diagnosis and Prediction
Authors:   Assistant Professor, Department of Computer Science, Thiru. A. Govindaswamy Government Arts College, India., Veerasekaran* K. , Sudhakar P. ,   Associate Professor, Dept. of Computer Science and Engineering, Annamalai University, Chidambaram.
Published: February 2020

At last decade, the development of diverse models and the excessive data creation leads to an enormous production of dataset and source. The healthcare field offers rich in information and it needs to be analyzed to identify the patterns present in the data. The commonly available massive amount of healthcare data characterizes a rich data field. The way of extracting the medical design is difficult because of the characteristics of healthcare data like massive, real, and complicated details. Various machine learning (ML) algorithms has developed to predict the existence of the diabetes disease. Due to the massive quantity of diabetes disease dataset, clustering techniques can be applied to group the data before classifying it. A new automated clustering based classification model is applied for the identification of diabetes. To cluster the healthcare data, sequential clustering (SC) model is applied. Then, logistic regression (LR) model is applied for the effective categorization of the clustered data. The experimentations have been directed by the benchmark dataset. The simulation outcomes demonstrate that the efficiency of the SC-LR method beats the prevailing methods to predict the diabetes diseases.
X ray Diffraction (XRD) Analysis of Coir Pith Concrete
Authors:   Research Scholar and Assistant Professor, Department of Civil Engg. Dr M G R Educational and Research Institute,, V* Priyadarshini , T Dr Felixkala ,   Dean-Student Affairs and Professor, Department of Civil Engg. Dr M G R Educational and Research Institute,
Published: February 2020

The usage of waste product in concrete decreases the major issue of dumping problems in the society and as well as its economical also. Coir pith is one among that product from coconut industry. In this examination accentuation was made on the practicality of utilization of coir pith as a fractional substitution of regular sand in concrete. The XRD analysis has been done for treated coir pith material and the concrete in which the same has been added. Thus the result of the XRD test shows the presence of each component in that particular material with accurate percentage and so it reveals that whether it matches all the necessary components which are present in river sand. This research paved the way to overcome the disposal problems caused by the waste materials as well as in economic point of view. Adding coir pith in the concrete needs an outer surface treatment in advance, which actually removes the dirt and dust. The effectiveness of the outer surface treatment carried out on the coir pith is assessed by XRD examination. Alkaline treatment causes a slight change in the structure of the cellulose. By dying coir pith treated with NaOH, the range of treated coir pith shows an adjustment in the expulsion of hemicellulose and lignin from the outside surface of coir pith. These outcomes demonstrate that the treatments were done effectively to change the qualities of the outside surface of the coir pith by removing the dirt and dust. Thus after treating this coir pith with NaOH, it is now ready to partially replace with sand in concrete.
Intensity Weight Factor Based Sentiment Prediction Analysis on Tweets
Authors:   Asst. Professor, Department of Computer Science, St. Philomena’s College, Mysuru, Karnataka, India., K. N*. Manasa , PADMA M. C. ,   Professor and Head Department of Computer Science and Engineering, PES College of Engineering, Mandya, India
Published: February 2020

Advances in the field of sentiment analysis are quick and purposeful to explore the views or articles available on various social media platforms through the techniques of machine learning with emotions, topic analysis or polarization calculations. Although employing various machine learning techniques and emotion analysis tools, there is a direct need for modern methods. To address these challenges, the contribution of this paper involves adopting a new approach that includes emotional analysts that integrates emotional intensity and machine learning. In addition, this document also provides a comparison of sentiment analysis techniques in analyzing political views through the application of machine learning algorithms such as Naive Bayes and KNN.
Strength Characteristics of Concrete Specimen Wrapped With Glass Fiber Reinforced Polymer
Authors:   AP, civil department, Narayanaguru college of engineering, kanyakumari, India, bennet* C.S. John , Benith W. ,   AP, civil department, Narayanaguru college of engineering, kanyakumari, India, Kinsy C. ,   AP, Civil Department, Ponjesly college of Engineering, Kanyakumari, India
Published: February 2020

Glass Fiber Reinforced Polymer (GFRP) is one of a relatively new class of composite material. These materials are manufactured from a combination of fibers and resins. These composite materials have proven to be efficient and economical for the development of new structures and the repair of deteriorating structures in civil engineering. One of the important reasons for the use of GFRP composite materials is because of its superior mechanical properties. These mechanical properties includes impact resistance, strength, stiffness, flexibility and also its enhanced ability to carry loads. In construction industry, in order to meet the advanced infrastructure requirements, new innovative technologies and materials are being introduced. Also any new technology or material has its own limitations but to meet the new requirements, new technologies and materials have to be invented and put to use. With structures becoming old and increasing bar corrosion, old buildings have to be retrofitted with additional materials to increase their durability and life. For strengthening and retrofitting of concrete structures confinement with FRP has various applications. In this project concrete specimens are wrapped with glass fibre reinforced polymers to study the effect of confinement in the strength of specimens. For wrapping bi-directional and uni-directional glass fibre reinforced polymer mats are used. During the uni-directional glass fibre reinforced polymer wrapping, it is wrapped in both horizontal and vertical directions. The fiber used in this paper is bi-directional fibre. To find the effect of wrapping, specimens are wrapped in one rotation and two rotations.
System to Crawl Web and Forum for Medical Data
Authors:   persuing Master of Engineering in Computer science at ADCET, Ashta., Shinde* Ms.A.B. , Dange Mr. A.S. ,   Assistant Professor in Computer Science and Engineering Department at ADCET, Ashta.
Published: February 2020

Medical Practitioners are those who require to have updated information of drugs, diseases, diagnosis and combinations of prescriptions. Internet is the rich source of information. The first attempt of every person is to search internet for his queries. But the relevant information searching and identifying the relevancy and accuracy of huge data is still a challenge. This paper focuses on data retrieval related to medical field. Forum crawler and web crawler will perform crawling of data from forums and web respectively. This system can be used by doctors as well as pharmacists to search medical related information as per their need.
Production of Biodiesel from Eruca Sativa (Taramira) and Its Utilization in DI Diesel Engine for Examining the Exhaust Emissions
Authors:   Department of mechanical engineering, PDA college of engineering, Kalaburagi-585102, India., Hussain* Mohd Hamid , Biradar C. H. ,   Professor and Head, Department of Mechanical Engineering, PDA College of Engineering, Kalaburagi-585102, India.
Published: February 2020

Increasing demand of the carbon fuels in daily life and the global environmental degradation has led to the biodiesel production from non-edible oils because they has high potential as ecological, clean, facile and renewable fuel. In present study, oil is extracted from dried Eruca sativa seeds using mechanical expellers, the oil yield obtained is calculated. By alkaline transesterification, the obtained oil is converted into biodiesel. The physicochemical properties of Eruca sativa biodiesel are tested following ASTM test methods, all the properties satisfies and meet the ASTM D-6751 biodiesel standard specifications. The gas chromatography technique is used for the analysis of fatty acid composition of the biodiesel, which shows that the erucic acid has higher percentage composition. Emission characteristics (i.e. carbon monoxide, carbon dioxide, hydro carbon, nitrogen oxide and smoke) of diesel engine are analyzed for the biodiesel and its blends (i.e. B10, B20, B30, B40 and B100) and are compared with the petroleum diesel. From the emission results obtained it is observed that, the CO and CO2 emissions are lower for B10 and B20 blends whereas the HC emissions are lesser than diesel for all the blends. For B10, B20 and B30 blends the NOX emission and smoke opacity has been reduced when compared to diesel.
Adoptability of Sustainable Energy in Rural India
Authors:   School of Mechanical Engineering, KIIT Deemed to be University, Bhubaneswar, India, Das* Anil Kumar , Mohapatra* Priyabrata ,   School of Mechanical Engineering, KIIT Deemed to be University, Bhubaneswar, India., Singhal Deepak ,   School of Mechanical Engineering, KIIT Deemed to be University, Bhubaneswar, India.
Published: February 2020

Access to energy is an important determinant for social and economic well-being of any society. In recent time though India is witnessing a rapid development country, but access to energy, particularly in rural part of India has still remained an unsolved development agenda. Reports show that large sections of population living in rural India and urban slum still do not have access to modern energy services. Therefore, this paper identifies and investigates the factors responsible for adoptability (or lack of it) of sustainable energy in rural India through extensive literature review. Further, a framework is developed in this study using Fuzzy-AHP approach to analyse the factors impeding and facilitating the state of adoptability of sustainable energy technologies in rural India. The results of the study reveals that, electrical connectivity (EC), income consistency(IC), average family Size (AFS), proximity to cities(PC), ecological conditions(EC) and sanitation(SA) are the key attribute in determining the level of adoptability rather than the actual knowledge or awareness. Moreover, this research work will be useful for energy planners, academicians and NGOs working in the field for developing strategies for successful implementation of sustainable energy supply programs particularly in rural area.
Assesment to Increase the Mechanical Properties of used Ballast by Edta Solution as a Construction Material
Authors:   Department of Civil Engineering, SR Engineering College, Warangal, India., Prabhanjan* Neduri , Yadav Golla Swamy ,   Department of Civil Engineering, SR Engineering College, Warangal,India., Sahithi Gorre ,   Department of Civil Engineering, SR Engineering College, Warangal,India., Sravanthi Bojjam ,   Department of Civil Engineering, Kakatiya Institute of Technology and science, Warangal, India., Tipraj B. ,   Department of Civil Engineering, SR Engineering College, Warangal, India.
Published: February 2020

Ballast is playing a vital role in taking the huge loads of railways which is strong, durable and also providing maximum stability to track/permanent way. Usually having a 40mm size ballast. The Shape of the ballast is important as its irregular shape and sharp edges help in the interlocking of themselves which gives more stability and passage of drainage. Within its lifetime the ballast used to get rounded edges, unable to stabilize or interlock and losses its strength for this reduction it should be replaced with new ballast. So the waste ballast is considered as our material to be tested in our project by adding the solution called EDTA (ETHYLENEDIAMINETETRAACETIC ACID) to develop the maximum properties of ballast by crushing them to 10mm, 12.5mm and 20mm size used for road construction. This work was conducted to determine the hardness, toughness, strength of aggregate using EDTA solution. The effectiveness of aggregate using of EDTA was studied in this project by adding required concentrations of 5%, 10% to the aggregates.
Development of the Design and Conditions of Operation of Containers for Transportation of Fruit and Vegetable Products
Authors:   Head of Department, Tashkent Railway Engineering Institute, Tashkent, Uzbekistan, Khadjimukhametova Мatluba А. , Merganov* Avaz M. ,   Head of Research, Innovation and Training of Scientific and Pedagogical Staff Tashkent Railway Engineering Institute, Tashkent, Uzbekistan
Published: February 2020

The article deals with the need for the development and commissioning of specialized containers for transporting fruits and vegetables. The requirements for the design of the new container are given and a previously unknown (developed) container design for transporting fruits and vegetables is proposed for consideration. Corresponding studies on the stress-strain state for the developed container design have been carried out. Container operating conditions are summarized.
Innovative Algorithm for Managing the Number of Clusters
Authors:   MIS, Business College, University of Burimi, Al Burimi, Oman., Shannaq* Dr.Boumedyen , Shamsi Dr.Ibrahim Rashid Al ,   Business College, University of Burimi, Al Burimi, Oman., AlAzzawi Dr.Fouad Jameel Ibrahim ,   Iraq, Faculty Member - Al-Rafidain University College.
Published: February 2020

This research work proposed an integrated approach using Fuzzy Clustering to discover the optimal number of clusters. The proposed technique is a great technological innovation clustering algorithm in marketing and could be used to determine the best group of customers, similar items and products. The new approach can independently determine the initial distribution of cluster centers. The task of finding the number of clusters is converted into the task of determining the size of the neural network, which later translated to identify the optimal groups of clusters. This approach has been tested using four business data set and shows outstanding results compared to traditional approaches. The proposed method is able to find without any significant error the expected exact number of clusters. Further, we believe that this work is a business value to increase market efficiency in finding out what group of clusters is more cost-effective.
Tomato Leaf Disease Detection using K-Means, SVM Classifier & Neural Networks
Authors:   Department of ECE, JNTUA University, Kuppam Engineering College, Kuppam, India, Sampoorna* C. K. , Rasadurai Dr. K. ,   Associate Professor, Department of ECE, Kuppam Engineering College, Kuppam, India
Published: February 2020

Agriculture is that the mainstay of the Indian economy. Nearly 56% of individuals depend on it & shares major a neighborhood of the Gross domestic product. Out of that tomato is one among the simplest common food crops in Asian nation. Diseases in crops wholly on the leaves affects on the reduction of every quality and quantity of agricultural merchandise. Perception of human eye is not such a great deal stronger so on observe minute variation inside the infected a part of leaf. Throughout this paper providing software package resolution to automatically observe and classify plant leaf diseases. Throughout this we have a tendency to area unit exploitation image method techniques to classify malady’s & quickly designation are administrated as per disease. This approach will enhance productivity of crops. Throughout this project four leaf diseases area unit supported. It includes several steps wise image acquisition, image pre-processing [9], segmentation, options extraction, K-means, neural network & SVM classification. The look and implementation of Otsu segmentation technologies area unit absolutely automatic and it provides accumulated productivity. For tremendous use of chemical and to scale back the economic loss, the identification of disease severity is main issue. Inside the context of sensible farming, we address the challenge of event IOT with Raspberry pi and sensors with image method to reinforce the efficiency of the agriculture.
Robustness of Adaptive Neuro- Fuzzy Inference System for Optimal Prediction using Roulette Wheel Method
Authors:   Assistant Professor, Department of Computer Science, SRM Trichy Arts and Science College, Trichy, Tamil Nadu, India., Kalpanadevi* Dr. D.
Published: February 2020

An information system that supports automatic decision making with help of intelligent system by computerized manner. The proposed work has been developed and deployed a robust method is contributed to decision making in medical system and the diagnosis the major risk of the patients in earlier. The main goal of the proposed research is to develop data mining techniques to support decision making and to control the controllable risk factors and also overcome the other parts of organs highly affected by diabetes, kidney disease, heart condition and which in turn reduces the risk of the patients. Robustness of Adaptive Neuro-Fuzzy Inference System (RANFIS) designed a fuzzy inference system (FIS) to enrich the knowledge about the data set whose membership function parameters can be altered randomly by the process of mutation.
Effect of Surface Modification Treatment on Gold Coated Zari Yarn And its Weavability Characteristics
Authors:   Assistant Professor, Department of Fashion Technology, Bannari Amman Institute of Technology, Sathyamangalm,India, Gobinath* Mr.R. , selvan Mr.V.Thamarai ,   Assistant Professor, Department of Fashion Technology, Bannari Amman Institute of Technology, Sathyamangalm, Sowmmiya Mr.S. ,   Assistant Professor, Department of Fashion Technology, Bannari Amman Institute of Technology, Sathyamangalm, Harinath Mr.S. ,   B.Tech , Department of Fashion Technology, Bannari Amman Institute of Technology, Sathyamangalm
Published: February 2020

The Zari yarn is a three component yarn which consists of red silk thread wrapped around by a silver wire and coated with pure gold. The Zari yarn is a metalized yarn and is basically manufactured by wrap spinning technique. In this work the zari yarn components has been treated with plasma reactor using argon and oxygen medium. The zari yarn is also made by using three different silk varieties as a core material. In initial stage the silk yarn is also degummed by using enzyme and also by traditional method. The effect of plasma treatment in each stage has been examined. After plasma treatment the frictional properties of zari yarn is interpreted. The weavability factors for the zari yarn also measured in the research.
Power Quality Enhancement in Windfarm by using STATCOM
Authors:   Associate Professor, JSPM’s BSIOTR Engineering College, Wagholi, Pune, India., Nanda* Babita , Jena Dr. Ranjan Kumar ,   Professor, Department of Electrical Engineering, B.P.U.T. Rourkela, Odisha, India., Muni Dr. Bishnu Prasad ,   GM, Department of Electrical Engineering, Indian Institute of Technology (IIT), Bombay, India.
Published: February 2020

A FACTS (Flexible AC Transmission) controlled device, STATCOM is the best solution for power compensation in the area of microgrid system. It regulates the reactive power by injecting the reactive current in to the ac/dc hybrid microgrid terminals. The STATCOM is applicable for shunt compensation which has a great role in dynamic performance by controlling its reactive power. The proposed work demonstrated about the enhancement of voltage sag during fault condition. It can improve the wind turbine performance. The main objective for the STATCOM application in windfarm is to improve the system voltage by supplying or absorbing the reactive power into hybrid ac /dc microgrid system. During steady state operation, the fundamental component of the VSC (Voltage source converter) voltage in phase with system voltage, which shows uncontrol action on active power flow. If there is change between these two voltages (lead or lag), then STATCOM can generates (or absorbs) reactive power. This phase shift leads to flow of active power which is responsible for increase or decreases of capacitor voltage. Assumption has been taken by considering the fixed speed of wind turbine. The performance of windfarm with and without STATCOM is examined and analyzed under fault condition by using MATLAB Simulink 2016.
Scrutiny of Digital Video Watermarking and QR Codes
Authors:   Research Scholar, Department Of Electronics And Computer Engineering, Koneru Lakshmaiah Education Foundation, Vaddeswaram, Ap, India., Prakash* Narayanam Sri , Kumar Dr.Kothamasu Kiran ,   Professor, Department Of Electronics And Computer Engineering, Koneru Lakshmaiah Education Foundation, Vaddeswaram, Ap, India.
Published: February 2020

The economic activity on the internet and media require safeguard to enhance the sanctuary to the data. Digital watermarking is an information masking technique wherever Associate in Nursing data or message is cloaked within a symbol clear to the user. This research includes the discussion about the watermarking concepts, Barcodes and QR codes, and algorithms used for the watermarking emerging better robustness, data security and increasing embedding capability. Here we also discussed about the software’s used for watermarking.
Role of Data Hiding Techniques for Detection of Virtual Disks in Cloud Environment
Authors:   Ph.D. Scholar, Shri G.S. Institute of Technology and Science Indore India, Khan* Yunus , Varma Sunita ,   HOD and Professor, Shri G.S. Institute of Technology and Science Indore India
Published: February 2020

In today's era, cloud computing is very popular and the most widly used technique to store the data. As we know more than 75% of the data that is used in internet services and applications is being stored on the maximum cloud only. Where our data is stored in the cloud, it is called data center, there are two important roles in cloud computing technology, one is cloud customer and the other is cloud service provider. The complete control and monitoring at the public data center is of the service provider itself, the user is kept away from the information of the location of the data center and its access credentials. This means that the user has absolutely no information about the virtual machine hard disk, and their access locations. Whenever any forensic inquiry comes in the cloud environment, the Investigator and forensic expert first have to find out about the virtual machine disk and its location in the cloud, which is a very challenging and difficult task in the cloud environment. In this paper we have developed a new process that detects virtual machines using data hiding techniques. To prove this new algorithm, we have performed an experiment using Oracle VirtualBox 6.0 on OpenSUSE virtual machine.
What factors Do influence Islamic social reporting (ISR) disclosure? Evidence from Indonesia
Authors:   doctoral student in economics at Jambi University, Jambi, Indonesia, Putra* Wirmie Eka , Afrizal  ,   lecturer in the faculty of economics and business at Jambi University, Jambi, Indonesia, Mukhzarudfa  ,   lecturer in the faculty of economics and business at Jambi University, Jambi, Indonesia, Lubis Tona Aurora ,   lecturer in the faculty of economics and business at Jambi University, Jambi, Indonesia
Published: February 2020

This research was aimed to identify factors affecting disclosure quality of Islamic Social Reporting (ISR) disclosure. ISR is an index that measures the level of social disclosure following the sharia principles conveyed by the company in its annual report. To assess corporate social disclosure following Islamic sharia, an index is known as Islamic Social Reporting (ISR). There are four factors believed to influence disclosure ISR quality, i.e. the board of independent commissioners, liquidity, company growth, the age of the company and the size of the company. The data used are secondary data taken from the website of the Indonesia Stock Exchange (see: www.idx.co.id). The population of this study was the Jakarta Islamic Index company listed in Indonesia Stock Exchange during 2014-2016 period. The samples in this study were taken by using purposive sampling technique to obtain 16 companies. Data analysis techniques used are multiple regression analysis methods. The results showed that liquidity and the size of the firm significantly affect the quality of Islamic social reporting disclosure. While for the board of independent commissioner, company growth and the age of the company has no significant effect on quality of Islamic social reporting disclosure.
Validation of Selection Techniques of Mutual Fund Schemes In India
Authors:   Research Scholar, Department of Management Studies, Bhimtal, Kumaun University, Nainital, Uttarakhand, India., Rohatgi* Sachin kumar , Kavidayal Dr. P.C. ,   Head Department of Management Studies, Bhimtal, Kumaun University, Nainital, Uttarakhand, India., Mishra Bhakti Bhushan ,   Assistant Professor, Amity University, Sector 125,Noida, U.P.India, Singh Dr. Krishna Kumar ,   Assistant Professor, Amity University, Sector 125,Noida, U.P.India, Dixit Dr. Anjali ,   Management faculty
Published: February 2020

Investment is necessary for saving and mutual fund can be treated as a vehicle of investment which is liked by all the ages of investors who want to take a ride on it. For doing so, they contribute in this vehicle depending on their risk and return appetite. The fund are invested in the vehicle is driven, controlled and managed by a fund manager. This investment fund uses capital market, money market and debt market to park its funds and get a return on the same. This investment opportunity is best suited for the investor’s class who wants a more diversified investment portfolio. In the modern times mutual fund is a big industry in which many private players are coming and trying to capture the growth. There are many schemes launched by the private players which are creating super normal growth for its investors. The various options in the mutual funds schemes have increased their acceptance to a large investor base. Therefore it is imperative to identify and select those schemes of mutual fund which are best in the lot and can offer better returns to the investors. This research paper has put an effort on validating the selection techniques of mutual fund in India on the basis of return and risk frontier. Paper discussed the basis of selection of all mutual fund schemes based upon highest net asset and ranking. The ranking of these mutual fund schemes are validated by calculating the monthly returns of the funds. Researchers considered data from different sources like yahoo finance, value research online, RBI, NSE etc for this study. After this study, researchers will try to help the investors to identify and select the mutual fund schemes carefully in their portfolio as all the mutual fund schemes even if they are on higher ranking may not perform well in the short run. This will help the investors in maximizing their returns.
The Effect of Remittances on the Real Estate Market in Jordan
Authors:   Department of Economics, Yarmouk University, Jordan, Hamouri* Qasem
Published: February 2020

Propose: The Study aims at investigating the impact of remittances on economic in general and on real-estate sector in particular. A few studies have addressed the importance of remittances of expatriates to their countries. The current study examines the impact of expatriates on real-estate sector in Jordan during the period of 1990-2015. Methods and Procedures: The study has adopted both descriptive and analytical approaches to investigate and measure the impact of Jordanian expatriate's remittances on the investment of real-estate in Jordan throughout the period of 1990-2015. To this end, annual data concerning study variables and E-views for conducting analogue analysis have been employed. Testing tools: The following tests were applied, namely: Dickey-Fuller (ADF) for testing the stillness of the time series model to the variables of the study, CUSUM and CUSUM of Square test for investigating the stability of the model parameters, and (ARDL). Findings and Recommendations: The study has a positive impact on real-estate market, building, and the rate of population growth. The study recommends formulating policies and guidelines for Jordanian expatriates in order to invest their money and remittances in long term developmental investments, develop alternative funding sources in case if remittances have been suspended and diverse investment climates have been provided for Jordanian expatriates. Also, the study recommends adopting official decisions concerning the cease of building for a temporary period to prevent the exacerbation of local real-estate crisis.
Localization in Underwater Acoustic Sensor Networks using Trapezoid
Authors:   Research scholar of VTU, ,S. G. Balekundri Institute of Technology, Belagavi, India, Halakarnimath* Mr. B. S. , Sutagundar Dr. A. V. ,   Associate Professor, Dept. of ECE,Basaveshwar Engineering College, Bagalkot, India.
Published: February 2020

Underwater Acoustic Sensor Networks (UASN) has driven a lot of attention from researchers because of advancements in sensor technology and unexplored applications of the ocean. UASNs monitor the targeted area with heterogeneous underwater sensors and relay that information to the onshore sink node in mission-critical applications. It is very much essential to know the source of information whenever some critical events happened in the UASNs. Hence, to learn the source of information, i.e. finding the location of the sensor node is crucial. To address this issue, in this paper, initially geometrical object such as trapezoid is used to form the clusters in the targeted region. After that, the proposed localization algorithm is applied and it works in three phases. (i) In the first phase, the sink node initiates the trapezoid formation process through Trapezoid Formation Agent (TFA) and divides the whole network into trapezoids of different geometrical shapes by traveling across the linear trajectory and also creates a search data structure. (ii) In the second phase, the sink deploys AUV at a certain depth for patrolling along the linear trajectory and broadcasts real-time location contained beacon messages at specified points through that anchor nodes are localized by using RSSI. (iii) Sink node activates Localization Agent (LA) in the third phase to perform the location identification process at the trapezoids by using the trilateration method. This work addresses the inherent localization issue of UASNs algorithms and hence it applies to the applications which consider the localization issue. This proposed scheme is well supported by node agencies and knowledgebase. The proposed scheme is simulated in C and validated by different performance parameters.
Factors Investors Consider to Investing in Company on the Era of Digital Technology
Authors:   Accounting Department, Binus Graduate Program – Master of Accounting, Bina Nusantara University, Jakarta, Indonesia, Tanasal* Anastasia Caroline , Nathania  ,   Accounting Department, Faculty of Economics and Communication, Bina Nusantara University, Jakarta, Indonesia, Pribadi Wilson ,   Business Management Program, Management Department, Binus Business School Master Programs, Bina Nusantara University, Jakarta, Indonesia
Published: February 2020

Technological developments continue to experience development, with these developments making all forms of information more easily accessible. Easy access to data makes it easier for investors to make investment choices. Determining these investors require accurate information about the company to invest. This study aims to determine the effect of return on investment, operating cash flow, management assets, debt to equity ratio, and the size of the company, whether it has an impact on dividend receipts, where the dividend is one of the considerations of investors in investing. This study uses 23 companies listed on the Indonesia Stock Exchange as a research sample. The sampling technique uses panel data by searching for samples with a purposive sampling method. The analysis uses multiple linear regression in E-Views version 9. The results showed that the ROI variable influenced cash dividends while operating cash flow, management assets, DER, and Firm Size did not affect cash dividends.
Machine Learning Based Text Document Classification for E-Learning
Authors:   Department of Computer Science, Christ University, Bangalore, India., Thomas* Benny , J Chandra ,   Department of Computer Science, Christ University, Bangalore, India.
Published: February 2020

The number of e-learning websites as well as e-contents are increasing exponentially over the years and most of the time it become cumbersome for a learner to find e-content suitable for learning as the learner gets overwhelmed by the enormity of the content availability. The proposed work focus on evaluating the efficiencies of the different classification algorithm for the identification of the e-learning content based on difficulty levels. The data is collected from many e-learning web sites through web scraping. The web scraper downloads the web pages and parse to text file. The text files were made to run through many machine learning classification algorithms to find out the best classification model suitable for achieving the highest score with minimum training and testing time. This method helps to understand the performance of different text classification algorithms on e-learning contents and identifies the classifier with high accuracy for document classification.
Factors of Employee Engagement and Organizational Development: Are they Linked?
Authors:   Universiti Sultan Zainal Abidin, Terengganu Malaysia, Mkheimer* Ibrahim , Mjlae* Salameh A. ,   Prince Abdullah bin Ghazi faculty of IT, Al-Balqa Applied University Al-Salt, Jordan.
Published: February 2020

The paper’s objective is investigating the relationships between employee engagement factors and organisational development in industrial firms in Jordan. And it aims to address the main question of the study which is Do employee engagement factors influence on organizational development. The study proposed a model that suggests that a significant employee engagement correlated with organizational development. The study used quantitative method approach and survey questionnaire to achieve its goals. The study used regression analysis to analyse the suggested conceptual framework due to the effective use of this method to test the hypotheses of the study. The study’s sample was around 250 industrial firms employees represent different private firms operating in industrial zone in Sahab city (Jordan) with a response rate of 88.4 % (221 employees) Pearson correlation and linear regression as well (Confirmatory Factor Analysis) CFA was also used to test the relationships among the variables of the study. The results revealed that the factors of engagement implemented in the organizations had achieved level of development. The findings also found that there were great relationships between employee engagement factors and organisational development. This findings have important implications for management in order to enhance its development, specifically in connection to human resource development and employee’s motivation. The study contributes to the academic studies that examined a model consisted of the factors of employee engagement and outcomes.
Effect of Combustion Parameters on Performance, Combustion and Emission Characteristics of a Modified Small Single-Cylinder Diesel Engine
Authors:   Mechanical Department, Veermata Jijabai Technological Institute, ,Mumbai, India., Dond* Dipak Kisan , Gulhane Dr. Nitin P. ,   Mechanical Department, Veermata Jijabai Technological Institute, Mumbai, India.
Published: February 2020

This paper represents the relative performance of a small single-cylinder diesel engine having capacity 3.5 kW. This paper covers experimental investigations of most influencing combustion parameters such as compression ratio, injection pressure and start of injection timing and their values on performance, emission and combustion characteristic of the small single-cylinder CRDI diesel engine for which the mechanical fuel injection system retrofitted with a simple version of the CRDI system. CRDI has yielded good results for large diesel and petrol engines but still not incorporate for cheaper small single-cylinder engines, typically used in the agricultural sector and decentralized power sector for a country like India. It is observed that starts of injection timing and injection pressure are the key parameters for improving the combustion characteristics and therefore engine performance while compression ratio mainly affects the emission characteristics of the engine. Retrofitted CRDI system yielded improved exhaust emission and performance of the engine.