bluuebunny/crossref_metadata_2025 huggingface dataset:
URGENSI BAHASA ARAB DALAM ‎ MEMAHAMI SYARI’AT ISLAM
Authors: Haruna Ridwan
Published: December 2019

AbstractThe purpose of this article is to identify the contribution and urgency of the Arabic language in understanding the Islamic religious teachings that are included in Islamic law. There are many branches and sections of Islamic law that have a close relationship with Arabic. So, it is an integral part of this religion. As a clear example, the main sources of religious law are the Qur'an, which is used in Arabic, and the most appropriate tool used to study the semantic meaning of Arabic. The basic position in this letter is the body of the important relationship between the Arabic language in understanding Islamic law from these various aspects.Keywords: Arabic; Islamic Law; Qur’an.AbstrakArtikel ini membahas tentang Urgensi Bahasa Arab dalam Memahami Syari’at Islam. Tujuan dari penulisan jurnal ini adalah untuk mengidentifikasi dan mengeksplanasikan kontribusi dan urgensi bahasa Arab dalam memahami ajaran agama Islam yang termasuk dalam syari’at islam. Terdapat banyak cabang dan bagian dalam syari’at Islam yang memiliki hubungan erat dengan bahasa Arab sehingga keduanya merupakan satu kesatuan dan hubungan yang integral. Sebagai contoh yang signifikan adalah sumber utama syari’at islam yakni al-Qur'an yang menggunakan bahasa Arab, dan alat yang paling tepat digunakan untuk mengkaji al-Qur’an adalah kemampuan bahasa Arab. Tema sentrum dalam jurnal ini adalah hubungan yang korelatif antara bahasa Arab dalam memahami syari’at Islam dalam berbagai aspeknya.Kata Kunci: Bahasa Arab; Syariat Islam; Al-Qur’an.
‎ASAS MANFAAT SANKSI PIDANA PEMBUNUHAN DALAM HUKUM PIDANA NASIONAL
Authors: Noercholis Rapid A Noercholis Cholis
Published: December 2019

AbstractThis study discusses diyat‎ comparison of criminal sanctions in criminal law. This study aims to determine the essence of criminal sanctions for murder in positive law and Islamic criminal law.This type of research is library research using data that are qualitative (non-statistical). This research is a review of the written works of legal experts, both Islamic law and national law. Normative theological approach, which is the approach used by referring to laws that originate from the Quran and Hadith and the juridical approach, that is, the approach used by referring to the applicable laws.This research implies that criminal sanctions for murder in national criminal law contain two principles, namely the principle of certainty and the principle of justice does not contain the principle of benefit, in this case, the benefit for the victim's family. Whereas Islamic criminal law contains all three principles because it provides maslahah for the victims' families.Keywords: Benefits; Criminal; The killing.AbstrakPenelitian ini membahas tentang diyat perbandingan sanksi pidana dalam hukum pidana. Penelitian ini bertujuan untuk mengetahui esensi dari sanksi pidana pembunuhan dalam hukum positif dan hukum pidana Islam.            Jenis penelitian ini adalah penelitian kepustakaan (Library research) dengan menggunakan data-data yang bersifat kualitatif (non statistic). Penelitian ini merupakan penelaahan terhadap karya-karya tertulis dari para ahli hukum, baik hukum Islam maupun hukum nasional. Pendekaatan teologis normatif, yaitu pendekatan yang digunakan dengan merujuk pada hukum-hukum yang bersumber pada al-Qur’an dan Hadis dan pendekatan yuridis, yakni pendekatan yang digunakan dengan merujuk pada kitab perundang-undangan yang berlaku.            Implikasi penelitian ini bahwa sanksi pidana bagi pembunuhan dalam hukum pidana nasioan mengandung dua asas yaitu asas kepastian dan asas keadilan tidak mengandung asas manfaat dalam hal ini manfaat bagi keluarga korban. Sedangkan dalam hukum pidana Islam mengandung ketiga asas tersebut karena memberikan maslahah kepada keluarga korban.Kata Kunci: Manfaat, Pidana, Pembunuhan
Identifying Feature Stock Price by Considering Most Influential Parameters using Prediction Methods in Indian Stock Exchange
Authors:   Assistant Professor G.Pulla Reddy Engineering College (Autonomous): Kurnool, A.P, India., Sudhakar* K. , Naganjaneyulu S. ,   Professor of Information Technology Laki Reddy Bali Reddy Engineering College (Autonomous): Mylavaram, Krishna District, Andhra Pradesh India.
Published: December 2019

Before the evaluation of big data analytics predicting the optimal share price in the stock market is very difficult, by applying the big data analytics it is easy to predict frequent patterns and feature outcomes in any domain. So in this paper we consider the financial domain to predict feature outcomes of share prices in the Indian stock exchange. We first gathered the dataset with duration 2011-2016 financial years of TCS Company, the reason to choose TCS dataset it is a trust based company and datasets are available at open access with all parameters. Market price per share is strongly effect by company’s variable like price earnings, dividend yield, dividend per share, earnings per share, book value per share, and return on equity, after observing the results we conclude that the variables price earnings, book value per share and firm size are important determinants of share prices in the Indian stock market. The regression model achieved a high R2 (0.94) for the closed price and book value per share variable and also the model achieved a high R2 (0.98) for the closed price and price earnings.
Experimentation of Emission Control on a Four Stroke Diesel Engine using an Eco-Friendly Silencer with Excess Air
Authors:   Department of Mechanical Engineering, Sri Sairam Engineering College, Chennai, Tamil Nadu, India., Dhanalakshmi* A. , Suresh M. ,   Department of Mechanical Engineering, Sri Sairam Engineering College, Chennai, Tamil Nadu, India., Ravinthiran A. ,   Department of Mechanical Engineering, Sri Sairam Engineering College, Chennai, Tamil Nadu, India., kumar P.Pradeep ,   Department of Mechanical Engineering, Sri Sairam Engineering College, Chennai, Tamil Nadu, India., Saleem A. ,   Department of Mechanical Engineering, Sri Sairam Engineering College, Chennai, Tamil Nadu, India.
Published: December 2019

Earth is suffering a lot due to Air pollution and degradation, we are in a position to save the earth from this. For that an invention should be made to prevent the earth. Even though a lot of pollution are happening in and around the earth, Air pollution seems to be a dangerous one. The main sources of air pollution are exhaust gases that is coming out of Automobiles and Industries. Taking this in mind, an invention has been found to overcome and reduce the exhaust gas that is coming out from engines. A typical silencer (Eco friendly Silencer) has been made to filter the pollutants that are coming from automobiles. After installing this silencer, the gases like NOx, CO, sulphur are analysed. This analysis is made using five gas analyser, and reduction of pollutants are measured periodically. After analysis, it is found that the noise and smoke level are reduced a lot. So this silencer will definitely been a tremendous invention to reduce pollutants. When compared to other silencer, this silencer is much cheaper, easy to install and no need of any Catalytic convertor. After making some improvisation, this silencer can also be used in Industrial Engines.
Secure Data Transmission using Goldbach Codes and RSA Algorithm
Authors:   Department of Computer Application. North Orissa University, Baripada, Odisha, India., Mantri* Dr. Jibendu Kumar , Mishra Rajalaxmi ,   Department of MCA, College of IT and Management Education, Bhubaneswar, Odisha, India
Published: December 2019

Information transmitted through the insecure network need to be secured by using different methods. There are several cryptographic methods to ensure secure data transmission. The compression algorithms are used to compress the information, then on the compressed information encryption algorithms can be applied so as to reduce the time of encryption. There are several data compression algorithms available to compress the data. Our proposed scheme is a combination of Goldbach Code Algorithm for data compression, and the RSA algorithm for data encryption.
Exploration of Opinion from Twitter Data
Authors:   Assistant Professor, Department of Computer Science and Engineering, Shri Ramdeobaba College of Engineering and Management Nagpur (An Autonomous Institute) , Nagpur, India., Korde* Nilesh , Kawade Gaurav ,   Assistant Professor, Shri Ramdeobaba College of Engineering and Management, Nagpur, India, Rawat Sunita ,   Assistant professor, Computer Science and Engineering Department, Nagpur, India., Kalambe Kavita ,   Assistant Professor, Department of CSE Shri Ramdeobaba College Of Engineering And Management - RCOEM, Nagpur, india, Thakare Abhijeet Ramesh ,   Ph.D. from Visvesvarya National Institute of Technology, Nagpur, India
Published: December 2019

To share information nowadays, people use social media sites from all around the world. For example, Twitter is a social media site enable users with facilities like reading, sending post recognized as ‘tweets’ and interrelate with diverse peoples. People often post their sentiments about their day-to-day lives, the whole thing for example places and brands. Businesses makes profit from this vast social media site by gathering data related to sentiments of people. Presenting a model that can accomplish opinion analysis on collected data from Twitter is the aim of this paper. To analyze highly unstructured and unorganized data in Twitter makes it difficult to manage and use. In our proposed model we are combining the work of unsupervised and supervised algorithms. Extracting and classifying each tweet depending on its opinion considered to be a neutral, positive or negative. Zomato and Swiggy are the two subjects about which data were collected to show which online food delivery business has more popularity. We have used diverse machine learning algorithms for testing. Testing metrics like f-score and cross validation were used for testing the result from these models. Our model has shown performance which is considered to be robust on directly mining Twitter texts.
Long Short-Term Memory (LSTM) to Predict the Viewability of any Page Depth for any Given Dwell Time
Authors:   Assistant Professor, CSE Department, Vasavi College of Engineering, Hyderabad, Syamala* B. , Surekha G. ,   Assistant Professor, CSE Department, VJIT, Aziznagar, Hyderabad, Mydukuri Prabhu ,   Associate Consultant, SAP Tata Consultancy Services, Hyderabad
Published: December 2019

In online distributers had a one major income source that is displaying advertising through online. In existing techniques recommender systems are depending upon the user’s interests. Recent studies show that the ads were really not seen by user’s means they don't scroll sufficiently profound to get the advertisements see. For this reason a new model was discovered for advertisements are paid on the off chance that they are in view, not minimally being served. A critical issue for distributers be near expect the chance to an advertisement on a agreed sheet intensity motivation live appeared resting on a client's monitor intended for a convinced live instance. This manuscript suggests Long Short-Term Memory (LSTM) near forecast the perceptibility of every sheet intensity intended for every agreed abide moment. It is a arrangement of bi-directional LSTM networks, encoder decoder structures & outstanding associations. The consequences shows that the high performance in terms of prediction.
Knowledge Management Performance Evaluation in Government Organization
Authors:   Information Systems Management Department, BINUS Graduate Program - Master of Information Systems Management, Bina Nusantara University, Jakarta, INDONESIA, Sardjono* Wahyu , Savin Mohammad ,   Information Systems Management Department, BINUS Graduate Program - Master of Information Systems Management, Bina Nusantara University, Jakarta, INDONESIA
Published: December 2019

The purpose of this paper is how to see the factors of knowledge management, customer relationship management, and employment programs that affect the realization of the Organization's performance against. The methods used in the writing of this thesis is the analysis of the path and also by using the study library for searching for reference materials. The results of the analysis conducted States that there are influences from factors of knowledge management, customer relationship management, and an influential work program towards the realization of the Organization's performance. The existence of this research, then obtained a model of organizational performance.
Emotional Intelligence Training Workshop and its Impact on Employee Performance: an Empirical Evaluation
Authors:   PhD., Organizational Behavior, Jamia Millia Islamia, New Delhi,India., Goel* Dr. Divya
Published: December 2019

Purpose: The primary focus of present research was to examine the effects of an emotional intelligence (EI) training workshop on participants’ performance. It entailed to evaluate whether the EI training workshop bring about a change in the performance of participants. The present study also encompasses the gender differences and the relationship of emotional intelligence with it. Research Design: The present research used primarily the quantitative techniques and succinctly presents the effects of enhanced emotional intelligence to the success of organization by using the data from a sample of 89 marketing managers from two selected organizations of the solar sector. In order to examine the gender differences in the emotional quotient, data was collected using Schutte’s Self Emotional Intelligence Scale (SEIS) from 158 employees of the marketing department of the selected organizations of the solar sector. The reliability of the data collection tool was calculated using Cronbach alpha and the value for present study was 0.817. Paired sample t-test, independent sample t-test, and descriptive statistics were used for data analysis. Findings: The results of the statistical analysis provide significant support to the hypothesized relationships between enhanced emotional intelligence and employee performance. Study results suggest that the conduct of Emotional Intelligence Workshop does increases the productivity of the employees. The study conducted also brings out the fact that the gender differences are significant with respect to emotional competencies and the findings suggested that females are more emotionally competent as compared to males. Implications: The research implications of the present research suggested that organizational success beckons upon employee performance which can be enhanced by focusing on creating HR system that ensures high emotional quotient in employees. The present research also suggests that organizations can move ahead on the path of success by remodeling recruitment mechanisms and building a strong training methodology to increase the emotional intelligence level of employees. It is likely that this occurs because employees with high emotional quotient are found to perform better than their counterparts. Originality/value: This study furthers the research in the field of emotional intelligence by providing an empirical evidence to support the positive impact of emotional intelligence training workshop on performance of marketing managers.
Diagnosis and Prognosis of Alzheimer’s Disease Via 3D CNN
Authors:   PhD. Pursuing, Department of Computer Science, Pondicherry University, Kalapet (Puducherry), India., Kumar* S. Sambath , Nandhini M. ,   Assistant Professor, Department of Computer Science, Pondicherry University, Kalapet (Puducherry), India.
Published: December 2019

Mild Cognitive Impairment (MCI) is an early symptom of Alzheimer’s disease (AD). The feature extraction and deep learning architecture of the convolutional neural network in 3D brain images is applied to the problem of Alzheimer’s disease. The Structural Magnetic Resonance (sMRI) and Positron Emission Tomography (PET) image of the patient’s brain are classified according to the vigorousness of the disease and is labelled to be either in MCI or in AD or Normal Control (NC) condition. In this paper, we proposed a model and presented the baseline convolutional CNN with four layers viz., Convolutional layer, Leaky Rectified Linear Unit(LReLU), S3Pool layer and Global average pooling. Further, the 3D image data is used to perform the binary and ternary classifications and its performance are examined. The strength of the network has improved interior resource utilization evaluated with medical images, sMRI and PET on hippocampal ROI. The results of our proposed CNN architecture have achieved an accuracy level of 0.945, 0.859 and 0.748 respectively, when compared to the conventional AlexNet based network. The obtained data from the ADNI database shows better performance with our proposed model.
Bio-Oil from Coconut Shells
Authors:   Department of Mechanical Bannari Amman Institute of Technology (BIT), Sathyamangalam, C* Sasikumar. , R Sundaresan. ,   College of Applied Industrial Technology, Jazan University, Baish, Saudi Arabia., M *Nagaraja. ,   Department of Mechanical, PSNACET, Dindigul, Shankar MS Sivahari ,   Department of Mechanical, PSNACET, Dindigul, S Karthikeyan. ,   Department of Mechanical, PSNACET, Dindigul
Published: December 2019

Future decade’s energy industries and startups can go for an innovation method of electricity generation using clean power mechanism by using the renewable energy and by utilizing the abundant Biomass wastes resources like husks, shells, powdery agri wastes, bagasse as fuels. Similarity to fossil resources, biofuels for heat power utility and electricity production benefits higher efficiency without environmental impact. Bio-Oil extracted from biomass, is a Carbon di oxide neutral technique and it will leads to credit among various resources of biomass coconuts are the surplus available source in the globe. Literature shows that research investigation in extracting the by product from coconut using pyrolysis is very limited. The objective of present work is to envisage the research methods for generating power from coconut shell using pyrolysis. Bio-Oil extracted from pyrolysis process can be used as a fuel for oil burners and in boilers for heat and power applications. Also Bio-oil can be blended at proper proportion with diesel to bio-diesel fuel. Hence pyrolysis based fuel extraction techniques are key solution to solve energy shortage in a friendly way using coconut shells.
Synthesis and Effect of TIO2 on Electrical Conductivity of Poly (2, 5-Dimethoxyaniline)/ TIO2 Thin Film
Authors:   Department of Physics, St. Joseph’s college, Tiruchirrappalli, India., Dayana* Maggie , Rayar Victor Williams ,   Department of Physics, St. Joseph’s college, Tiruchirrappalli, India.
Published: December 2019

TiO2 has been synthesized using Titanium isopropoxide as precursor solution. Different amount of Titanium isopropoxide of 0.2, 0.4, 0.6, 0.8 and 1 mol concentration used to synthesis TiO2 . Different mol concentration solution has been blend with Camphor sulfonic acid protonated Poly (2, 5-dimethoxyaniline) and cast as thin film by dip coating. The optical and XRD analyses were carried out for the dip coated TiO2 thin films. The DC electrical conductivity was measured for the dip coated Camphor sulfonic acid protonated Poly (2, 5-dimethoxyaniline) /TiO2 blend thin films. The Titanium isopropoxide of 0.6 mol concentration shows better UV-Vis absorption and crystalline nature. Camphor sulfonic acid protonated Poly (2, 5-dimethoxyaniline) /TiO2 blend thin film of 0.6 mol concentration shows higher DC electrical conductivity when compared to other mol concentration.
Design and Modeling of Brushless Doubly-Fed Reluctance Generator for Wind Mills
Authors:   Department of EEE, Faculty of Engineering, Karpagam Academy of Higher Education, Coimbatore, India., Kalaivani* M. N. , Balachander Dr. K. ,   Associate Professor, Department of EEE, Faculty of Engineering, Karpagam Academy of Higher Education, Coimbatore, India.
Published: December 2019

For the wind energy systems the wind generators the most significant device for achieving better energy efficiencies. So in the case of wind generators, different generators are used for different conditions. In this paper we proposed to analyze the performance analysis of the Brushless Doubly-Fed Reluctance Generator (BDFRG). The BDFRG methods simulated in MATLAB/Simulink software. The proposed model is analyzed with different parameters like THD, ISE, IE, and ITE. The results of the parameters are combined with the other conventional generators like DFIG and BDFIG for result validation. The BDFRG achieved better results in all the parameters than the other conventional generators.
Effect of Sliding Velocity and Normal Applied Load on Wear Behavior of Al-Ti- Sic Composites for Automobile Brake Pad System Under Dry Sliding Condition
Authors:   Assistant Professor, Department of Mechanical Engineering, Rajeev Gandhi Memorial College of Engineering & Technology, Nandyal, A.P, India, Suresh* B. , Naresh P. ,   Research Scholar, Department of Mechanical Engineering, Jawaharlal Nehru Technological University, Anantapur, Ananthapuramu-A.P, India, India
Published: December 2019

The wear and coefficient of friction (COF) behaviour of aluminium titanium (Al-Ti) alloys with varying of silicon carbide (SiC) are used as reinforcement material in the present research work. Automobile brake pads were developed by stir casting technique with 15, 20 and 25wt.% of SiC in Al-Ti alloys, respectively, instead of the traditional CI (cast iron) brake drum used for a chase machine. The normal applied load and sliding velocity varied to simulate vehicle running condition. It has been observed from the results the wear and COF for silicon carbide MMC is effectively than the CI material. The wear is varied with both sliding velocity and normal applied load. The experimental results reveals that the low wear was observed at 25wt.% of SiC than 15 and 20 wt.% of SiC. With increase of normal applied load, the wear was observed to increase whereas the COF decreases.
Sketchai: using FCNS to Extract Line ART Drawings
Authors:   Students, Sir M Visvesvaraya Institute of Technology, Bangalore, Jadia* Raghav , Sampat Siddharth ,   Students, Sir M Visvesvaraya Institute of Technology, Bangalore, Pandey Ritika ,   Students, Sir M Visvesvaraya Institute of Technology, Bangalore, R Manohar ,   Assistant Professor, Dept of ISE, Sir M Visvesvaraya Institute of Technology, Bangalore, P Supriya ,   Assistant Professor, Dept of CSE, Nitte Meenakshi Institute of Technology, Bangalore.
Published: December 2019

The digital revolution has improved every field of human lives. And field of ART is no exception. The rapid development of modern technology and techniques has made an impact on the work of painters, sketch artists and even comic book writers. One would be hard pressed to find artists in this day and age who haven’t heard of modern tools and applications such as Adobe Photoshop, GIMP, etc. But though these applications have undoubtedly made the lives of artists better, the use of AI for art is still at a nascent stage. The current work aims at developing a web-based application called SketchAI which uses Artificial Intelligence to simplify rough sketches or art work and extract the simplified line drawing. Fully Convolution Networks or FCNs are used to automate the task of sketch simplification. Dataset of rough sketches and corresponding line art drawings are used to train the system to extract line art. Different parameters such as number of epochs, loss functions etc. are considered for experimentation along with different subsets and augmentations of the data. Finally, comparisons of different methods are done to integrate deep learning models with a web application.
Suction Injection Induced MHD Flow through Vertical Narrow Porous Channel with Permeable Properties
Authors:   Dept of Mathematics, Sathyabama Institute of Science and Technology, Chennai, India., Venkatesh* L.Prasanna
Published: December 2019

The current research problem deals with fluid flows that are electrically conducting known as Magnetohydrodynamic(MHD) flow, viscous oscillatory and stratified fluid in a vertical long small geometry rectangular channel that has permeable property with one side being porous and the other side being nonporous. Corresponding fluid flow equations are simplified and hence solved by applying Lubrication approximation by using similarity transformation. The interpretations of the influences of various quantities that are involved to the problem on velocity profiles, pressure and density distributions are explained in detail. The results of the research problem shows that the Magnetohydrodynamic parameter encourages backflow nearer to the boundaries of the channel while permeability parameter influences the flow differently for axial and transverse velocity profiles. The results for =0 reduces to the results that are already available in the literature.
Working of Battery Energy Storage Systems Associated to Wind Farms
Authors:   Department of Mechatronics, Bharath Institute of Higher Education and Research, Chennai – 600 073, Tamilnadu, India, C.B * Vigneshwar. , P Dr. Sengottuvel. ,   Department of Mechatronics, Bharath Institute of Higher Education and Research, Chennai – 600 073, Tamilnadu, India, J Dhanasekar. ,   Department of Mechatronics, Bharath Institute of Higher Education and Research, Chennai – 600 073, Tamilnadu, India
Published: December 2019

A Battery Energy Storage System (BESS) is a dependable asset to give vitality to different supply framework functions. The BESS can expand the adaptability and unwavering quality of the sustainable supply source transmit. Wind vitality has the biggest commitment amongst sustainable supply source assets and its control has turned into an exploration center in supply frameworks territory. This article acquaints an innovative controlling of BESS with deal with the net vitality trade among a breeze ranch as well as the network in a supply showcase. A Receding Horizon Control (RHC) plot is suggested for ideal activity of the BESS within the sight of working requirements. The suggested strategy looks for a choice arrangement to oversee activity of the BESS to expand every day benefits. Using momentary breeze and value gauges give important data to the system monitor to acquire the finest occasions to power the batteries, release the put away vitality, or buy vitality from the DA showcase. An improvement issue is detailed taking respect of the price and functional requirements of the storage systems. This streamlining issue, for all time periods, is comprehended utilizing the RHC plot. All natural movement of air and supply value information and contextual analyses in the article depend on MISO vitality advertise information.
Resource Based Capability and Competitive Strategy of High-Tech Ventures in Kerala
Authors:   Department of Commerce and Management, School of Arts and Sciences, Amrita Vishwa Vidyapeetham, Kochi Campus, India., Nambiar* Ranjini S , Balasubramanian Dr. P. ,   Department of Commerce and Management, School of Arts and Sciences, Amrita Vishwa Vidyapeetham, Kochi Campus, India.
Published: December 2019

The paper examines the impact of resource- based capability and competitive strategy on the performance of high- tech new ventures in Kerala. The resource-based capability was analyzed using the variables managerial capability, technical capability, marketing capability and input sourcing capability of the firm. Competitive strategy was measured by looking into cost strategy, quality strategy, innovation strategy, and customization strategy adopted by the firm. A descriptive research was undertaken to analyze the performance of the ventures. A survey method was administered to collect data from 83 high- tech startups in Kerala. Independent sample t-test, Multiple regression and Cluster analysis were used to arrive at a conclusion. The findings indicate that both resource- based capability and competitive strategy influences the performance of a venture. It was found that the entrepreneurs of profitable ventures exhibit better managerial capability. The results of the cluster analysis show that the entrepreneurs with high performance indicators are customer centric. The innovation strategy and marketing capability adopted by the firm has an impact on the venture performance. The findings suggest that sales, profitability and financial position can be predicted to an extend by the resource- based capability and competitive strategy adopted by the venture. The research work can be used by emerging entrepreneurs, policymakers and incubation managers to develop a framework to improve the performance of startups.
Service Differentiated QOS Guaranteed Cross Layer Solution for Underwater Acoustic Sensor Networks (SD-QCLS)
Authors:   Research Scholar Dept. of Computer Science & Engineering VTU-RRC, Belagavi-590018 Karnataka, India, K* Vidyalakshmi , Shanmukha Dr.B. ,   Professor & Head Dept. of Computer Science & Engineering Sri Siddhartha Institute of Technology Tumakuru-572105 Karnataka, India, Siddappa Dr.M. ,   Associate Professor Dept. of Mathematics PES College of Engineering Mandya-571401 Karnataka, India
Published: December 2019

Physical characteristics limits the capability of sensor network in case of underwater deployment. Factors like medium delay, doppler spreads and limited bandwidth are challengers to achieve a QoS (Quality of Service) guarantee in under water acoustic sensor networks. Under these conditions maximizing the bandwidth availability with consideration for application traffic requirements is important. This work proposes a service differentiated QOS guaranteed cross layer solution to maximize the available bandwidth and life time of the network under the constraints of application traffic requirements. At all different layers of IEEE 802.15.4 protocol stack, i.e., Application Layer, Session Layer, Network Layer, MAC Layer, and PHY Layer, the solution uses network parametes to optimize available bandwidth and also QoS. The solution involves redundancy and prediction based content coding at application layer, QoS based rate control at session layer, load based routing, transmission range adjustment at physical layer for guaranteed QoS delivery over acoustic sensor network.
Evaluation of Classification Accuracy with Original and Compressed Images
Authors:   Department of CSE, JNTUH College of Engineering, JNTUH, Hyderabad, India, Kakollu Vanitha , Reddy P Chandrasekhar ,   Department of Electronics and Communication Engineering, JNTUH, Hyderabad, India
Published: December 2019

The extent of communicated information through internet has augmented speedily over the past few years. Image compression is the preeminent way to lessen the size of the image. JPEG is the one the best technique related to lossy image compression. In this paper a novel JPEG compression algorithm with Fuzzy-Morphology techniques was proposed. The efficacy of the proposed algorithm compared to JPEG is presented with metrics like PSNR, MSE, No of bits transmitted. The proposed approaches lessen the number of encoded bits as a result tumbling the quantity of memory needed. The Planned approaches are best appropriate for the images corrupted with Gaussian, Speckle, Poisson, Salt & Pepper noises. In this paper the effect of compression on classification performance was envisaged, Artificial Neural Network, Support Vector Machine, and, KNN classifiers performance is evaluated with original image data, standard JPEG compressed data and the compressed image data with the proposed method.
Targeting and Design Procedure for Water-using Networks with Single Contaminant
Authors:   Chemical Engineering and petroleum refining department, Suez University, Suez, Egypt., Refaat* Mai Mohamed , Ali Said ,   Chemical Engineering and Petroleum Refining department, Suez University, Suez, Egypt., Awad Mustafa ,   Chemical Engineering and Petroleum Refining department, Suez University, Suez, Egypt.
Published: December 2019

Minimizing of wastewater has become a focus of research as the reduction of wastewater discharge and water conservation has great importance. Wastewater discharge and fresh water consumption can significantly be reduced by Integration of the water system. The integration is done by reuse, regeneration reuse/recycling of waste wastewater appropriately. This work shows the development of a systematic technique which target freshwater consumption and wastewater discharge to achieve the maximum water recovery for systems involving a single contaminant. A generic linear programming model has been used based on water network superstructure to generate the maximum water recovery targets and design minimum water network .It has been used in this work water path analysis and improved source shift algorithm to evolve a preliminary water network to reduce number of interconnections by incurring a penalty on both wastewater and freshwater flow rates. This method has been tested for one problem reported in the literature. It is cleared from the illustrated problems that the proposed procedure needs much less computation compared with methods taken from other literatures.
Determinants of Customer Satisfaction and Their Impact in Telecommunication Industry in India
Authors:   Ph.D. Scholar,Sardar Patel University,Vallabh Vidyanagar,Anand,Gujarat, Saha* Sukanta , Joshi Yogesh C ,   Dean,Faculty of Management,Director,G H Patel PG Institute of Business Management, Sardar Patel University,Vallabh Vidyanagar,Anand,Gujarat
Published: December 2019

Telecommunication services market in India is a hot bed of competition.With the advent of new Telecommunication operator ,Reliance JIO, the competition had further been cut throat.In such a situation,retaining an existing customer is more significant then acquisition of a new one. Hence building trust and loyalty among telecommunication service users is quite pivotal as it act as a bridge, which can in the long run help in retaining a customer.The study analyzes the effect of trust,loyalty,service quality,perception and switching cost on customer satisfaction among mobile users of Gujarat.The research study centers around the mobile users of Gujarat state and its various zones.Various analysis like factor analysis,Principal component analysis and multiple regression analysis have been utilized,which helped to determine the factors of customer satisfaction and the relationships between service quality-customer satisfaction, loyalty-customer satisfaction, perception-customer satisfaction, trust-customer satisfaction and between switching cost and customer satisfaction among mobile customers of Gujarat.
Factors Influencing the Technology Acceptance of Mobile Commerce in Malaysia by using the Revised UTAUT Model
Authors:   Faculty of Technology and Informatics, Universiti Teknologi Malaysia Kuala Lumpur., Samy* Ganthan Narayana , Yusoff RCM ,   Faculty of Technology and Informatics, Universiti Teknologi Malaysia Kuala Lumpur, Alrawi Mohammed A Sabri ,   Faculty of Technology and Informatics, Universiti Teknologi Malaysia Kuala Lumpur.
Published: December 2019

The purpose of this study is to study positive and negative factors that can substantially explain mobile commerce (m-commerce) acceptance in Malaysia. A technology acceptance model for m-commerce with eights factors is constructed. Data collected from 400 respondents are being tested on the proposed model. Confirmatory factor analysis is performed to test the reliability and validity of the model and structural equation modelling is performed to access the relationship between behavior intention and each factor. The acceptance of m-commerce is influenced by factors including performance expectancy, effort expectancy, social influence, facilitating conditions, Mobility, Personal İnnovation, Perceived Trust and use behavior; while Perceived risk is insignificant in this case The results of this study are useful for m-commerce providers in adapting their m-commerce promotion strategy. This study contributes to the practice by providing a model for m-commerce user technology acceptance, which can be used as the basis for future investigations.
Influence of Granite Cutting Waste and Recycled Concrete on Properties of Self Compacting Concrete
Authors:   Ph.D, Miste , IAENG , Head Department, Of Civil Engineering, Pace Institute Of Technology And Sciences, Vallur, Prakasam Dist., Andhra Pradesh, India., Naidu* G.Ganesh , Prasad M.Sri Durga Vara ,   Assistant professor, department, of Civil Engineering Pace institute of technology and sciences, vallur, prakasam dist., Andhra Pradesh, India. Researching on self compacting concrete and water conservation techniques., Narendra N. ,   PG scholar, Pace institute of technology and sciences, vallur, prakasam dist., Andhra Pradesh, India.
Published: December 2019

This paper explains the combined effect of granite cutting waste and recycled concrete on the workability and mechanical properties of self compacting concrete. Experimental plan is divided in such a way that granite cutting waste is replaced with fine aggregate at 0, 20,40,60,80 and 100% proportions. Recycled concrete is replaced with the coarse aggregate starting from 20 to 100%. Total 36 mixes were designed to check the fresh and hardened properties. Slump flow and T500, v-funnel and L-box test are conducted to know the flow ability and passing ability of concrete. To study the hardened properties compressive strength, flexural strength test values are to be collected.
Tea Leaf Disease Segmentation by using Color and Region’s Mean Based Segmentation (CRM)
Authors:   Research Scholar, Part Time Ph.D, Bharathair University, P* Velmurugan , Devi Dr.M.Renuka ,   Professor & Head, Department of BCA, Sri Krishna Arts and Science College,Coimbatore
Published: December 2019

In agriculture image processing and Datamining play an important role. Prediction of crop yield prediction is very important in tea production. Image segmentation is used to segment the disease affected region in the leaf. It segment image into various homogeneous region. In this paper color and Region’s mean based segmentation technique is introduced to subtract background and fore ground. This new approach is analyzed and compared based on five performance metrics such as PSNR (Peak Signal to Noise Ratio) Value, Rand Index (RI), precision, recall and accuracy. The proposed method gave better accuracy than other methods.
Financial Aspects of Local Government Reform in The Russian Federation
Authors:   department of money circulation and credit, Kuban State Agrarian University named after I.T. Trubilina, Krasnodar, Russia, Zinisha* Olga , Ivanenko Igor ,   department of administrative and financial law, Kuban State Agrarian University named after I.T. Trubilin, Krasnodar, Russia, Labanova Susanna ,   senior lecturer, department of public law, Russian State University of Justice, Krasnodar, Russia.
Published: December 2019

This article presents the results of a study of financial mechanisms for the development of local self-government, indicated in documents at the federal level. The characteristic of the main directions of fiscal policy in relation to new types of municipalities is given. The changes forming inter-budgetary relations between different types of municipalities, the revenues of various types of municipalities that have come into effect in recent years are summarized.
Improving Security through Software Defined Networking (SDN): AN SDN based Model
Authors:   Assistant Professor, in Computer Engineering at Manav Rachna International Institute of Research and Studies (MRIIRS), Faridabad., Sharma* Pradeep Kumar , Tyagi Dr. S. S. ,   Professor, Computer Engineering and Dean at Manav Rachna International Institute of Research and Studies (MRIIRS), Faridabad.
Published: December 2019

In this era of virtualization & cloud computing, software defined networking has created a lots of buzz and has shown a great innovation through network programmability towards the better future networks. In this paper the rich concept of the SDN has been compared with the traditional networks based on the fundamental models. This paper evaluates the current security status, and states what can be done to improve it through SDN. In this work an SDN based security approach has been taken into consideration with advanced analysis on security aspects which shows how the overall security of the network can be enhanced with SDN. Mininet which is an SDN emulator has been utilized to perform various operations for implementation, testing and analysis. The proposed Security model based on SDN analytics has been presented with implementation and promising research directions. This work can be beneficial for researches as well as network engineers in the area of SDN who want to secure and scale their network through the flexibility in SDN
Legal Politic in Providing Infrastructure in Indonesia, is Human Right Still Have Any Places?
Authors:   Constitution and Administration Law, Pancasila University, Jakarta, Indonesia, Anggraeni* Ricca , Sari Indah Mutiara ,   Constitution and Administration Law, Pancasila University, Jakarta, Indonesia
Published: December 2019

Indonesia government has put a lot of efforts to fix infrastructure for strengthening the economy. This can be seen from the increasing amount of infrastructure budgeting in 2015 which up to 290 trillion. As a state law, certainly every government effort must be based on legal instruments in the form of legislation. From the various regulations that governing the providing infrastructure, normatively there are various material content of norms that truly potential to violate the human rights. For example the presidential regulations number 58 of 2017 concerning the acceleration of the Implementation National Strategic Projects is stating that the location of national strategic projects which not in accordance with spatial layout, can be given some recommendation about the spatial layout suitability with the location of strategic project from Agrarian Minister, and also from the head of National Land Agency. Another problem that arises from the act of providing infrastructure is agrarian conflict which blooms due to the procurement of land for public interest which is legalized through the regulation. Ironically there are numbers of ambivalence policies in Indonesian government, which comes together with the high amount of land conflict, forced evictions for plantation and infrastructure projects. These credible data, shows the genuine dilemma from Indonesian government, because on one side there are efforts to develop infrastructure to strengthen the economy, but on the other side the development actually undermines the recognition of human rights in Indonesia. And finally the main problem wanted to be resolved is why the kind of legal politics that not come by prioritizing the protection of human rights in infrastructure development can be accommodated through the regulations? This research uses doctrinal type research, in order to elaborate theories, to reveal the real meaning and the right purpose of legal politic in providing infrastructure in Indonesia.
DC-DC Buck Boost Converter For Renewable and Biomedical Application based Real-Time
Authors:   Research Scholar, Department of Electronics and Communication, Sathyabama Institute of Science and Technology, Chennai, India, M* Shwetha. , Lakshmi S. ,   Department of Electronics and Communication, Sathyabama Institute of Science and Technology, Chennai, India
Published: December 2019

DC-DC buck boost converter is a conversion circuit using induced frequency inductors, switching.DC-DC converters dynamics was improved by using self calibrated preemptive current control. As, a result Preemptive concurrent control reduces capacitor size by 10x.DC DC buck converter with pulse width modulation.DC-DC buck converter with two step pulse width modulation was utilized for low power application by using delay, control line. Main motive of DC-DC buck converter with pulse width modulations obtains high linearity, high granularity. Conversion efficiency for Light load current was increased in buck converter by clocked hysteresis scheme. Power supplied to comparator was scaled to load easily. Conventional buck converter was integrated with LED to expand smart bulb. Main power from supply was decoupled by Non linear ramp control scheme preventing LED output flickering. Control scheme effectiveness was improved by small signal model. Three major characteristics of Light emitting diodes are improved lifetime, high efficiency, increased reliability, controllability. High brightness LED by multicell three phases was used for its lower cost. Heart beat was identified by using raspberry pi, system on chip with three stages in it namely Heart beat determination, Impedence, cardiography parameters. Accidents was restricted by this method.Overspeeding vehicles was identified was main goal of using complex proportional assessment method. Converting Rice husk into bio fuels was performed by thermo chemical processes. Rice hulk silica was utilized for fluorescent silica particles synthesis.
The Effect of Financial Compensation and Flexibility of Working Hours on Telecommuting Employee Performance
Authors:   Professor of BINUS Business School, Department of Management Program at Binus-Bina Nusantara University, Jakarta, Indonesia., Saragih* Melva Hermayanty , Tania Mettalia ,   Research Scholar, of BINUS Business School, Department of Management Program at Bina Nusantara University, Jakarta, Indonesia., Idris Lidya Kartika ,   is a student of BINUS Business School, Department of Management Program at Bina Nusantara University, Jakarta, Indonesia., Prajnajaya Yovan ,   student of BINUS Business School, Department of Management Program at Bina Nusantara University, Jakarta, Indonesia.
Published: December 2019

The 4.0 industrial revolution in business changed the way of working, including changes in the work patterns of employees, who had to work at office to work at home using the internet, called as telecommuting employees. The purpose of this study is to determine the effect of financial compensation and flexibility of working hours provided by e-commerce companies on the performance of their telecommuters. In this quantitative study, it was released that the financial compensation variable based on the T test had a coefficient of 0.126 and Sig. 0.195, which means there is no influence between financial compensation and telecommuting employee performance. As for the second independent variable, the flexibility of working hours based on the T test has a coefficient of 0.607 with Sig. 0,000, which means that employee flexibility is very influential in employee performance.