bluuebunny/crossref_metadata_2025 huggingface dataset:
DC Feeder Voltage Control Strategy of Bidirectional DC to DC converter for Railway Traction
Authors:   Electrical Engineering, Government Engineering College of Aurangabad, Aurangabad, India., Kale Sachin , Bhasme* Dr. N. R. ,   Electrical Engineering, Government Engineering College of Aurangabad, Aurangabad, India.
Published: December 2019

The regenerative energy which is generated during the period of braking of railway traction increases voltage of DC feeder line which makes it crucial and important to consider. Regenerative energy storage system is one of the key solutions to use regenerative energy more effectively and efficiently. Super capacitor has advanced version of the conventional capacitor because of its instant charging and discharging, making it suitable to use as energy storage device for traction system. In this paper, operation of half bridge type bidirectional DC-DC converter for both running and braking operation of traction motor is modeled & simulated and performance analysis is carried out. During charging mode of supercapacitor this converter works as buck converter and during discharge works as boost converter to control the DC feeder voltage at appropriate levels.
Effect of the Parametric Variations of Semiconductor Screen on Line Parameters and Wave Properties of Underground Cable
Authors:   Department of Electrical Engineering, National Institute of Technology Meghalaya, Laitumkhrah, Shillong, India., Ghosh* Swarnankur , Das Supriyo ,   Department of Electrical Engineering, National Institute of Technology Meghalaya, Laitumkhrah, Shillong, India.
Published: December 2019

Detection and understanding of different high frequency phenomenon in multilayered underground (UG) cable require a thorough study of wave propagation mechanism which is governed by the line parameters of the cable. Line parameters are the functions of cable geometric and electromagnetic properties. Therefore the inclusion of semiconducting screen in cable structure influences the line parameters as well as wave properties of the cable. This paper aims to investigate the effects of the variation of different geometric and electrical properties of the semiconducting screen on line parameters as well as wave propagation characteristics of UG cable over a wide range of frequency. The complete impedance matrix of cable considering the effect of the semiconducting screen is derived using loop current analysis without invoking the theory of a double-layered conductor system. A comparative analysis on the effect of parametric variations of the semiconducting screen on line parameters as well as wave properties between the cable with and without semiconducting screen over a wide range of frequency is performed. This analysis indicates that the wave properties like attenuation or phase velocity are considerably influenced by inclusions of the semiconducting screen in cable structure, especially at high frequency.
Design of of DM with interpolated FIR Filter channel estimation based Fixed WIMAX System for Data and Image Transmission
Authors:   Electronics & Communication Engineering, Research Scholar, Jain University, Bangalore, India., kumar T R * Vasanth , Prasad K V ,   Electronics & Communication Engineering, Bangalore Institute of Technology, Bangalore , India
Published: December 2019

The growth in the today’s wireless communication has lend the demand of highly quality of service (QoS) in transmission. The existing telecommunication industries are providing the transmission with the speed of Kbps to Mbps while most of the industries are failed to better QoS. The significant technique called Orthogonal Frequency Division Multiplexing (OFDM) provides the better QoS but leads to high Cyclic Prefix (CP). The WIMAX (Worldwide Interoperability for Microwave Access) is a broadband wireless access technology that adopts the OFDM. This paper introduces OFDM based WIMAX system performance analysis using CP. The Simulink model is designed with 16 Quadrature Amplitude Modulation (QAM) with CP using MATLAB. The QAM scheme was examined for Bit Error Rate (BER) over Additive White Gaussian Noise (AWGN) channel and multipath Rayleigh fading channel that is subjected to the CP. The proposed OFDM system proved to possess a better BER for without fading channels. The OFDM data/image transmission includes AWGN and Rayleigh with different cyclic prefix values- 1/4, 1/8 and 1/16 is plotted. The Cyclic prefix values are changing accordingly for transmitter and receiver. When Eb/No is 22db, the BER value 6.8e-5, 5.6e-5 and 5.8e-5 generated, for 1/4, 1/8 and 1/16 different cyclic prefix values respectively. Similarly, for image transmission proposed design achieves 19.94dB of PSNR value for SNR value of 7dB with respect to code rate ½ with 16-QAM
Impact of Copper Nanoparticle Addition on Thermo Physical Properties of Different Base Fluids
Authors:   Chemical Engineering department, Kongu Engineering College, Erode, India., Manikandan* Dr.A.S.Periasamy , Balasubramani R. ,   Chemical Engineering department, Kongu Engineering College, Erode, India., Kalaivani K. ,   Chemical Engineering department, Kongu Engineering College, Erode, India, Baskar Dr.R. ,   Food Technology department, Kongu Engineering College, Erode, India.
Published: December 2019

In the present work, thermo physical properties of different base fluids (Water, Ethylene Glycol, Propylene Glycol) by suspending various concentrations of copper nanoparticle was evaluated. Initially copper based nanofluid was prepared by two-step method and the concentration of copper nanoparticle was varied at 0.15, 0.2, 0.25 and 0.3 volume. %. The effect of copper nanoparticle concentration on thermo physical properties was evaluated. The result shows that the density, thermal conductivity and viscosity of all the chosen base fluids (Water, Ethylene Glycol, and Propylene Glycol) were increased; however the specific heat of these base fluids decreases while increasing the copper nanoparticle concentration.
Multiple Authority Based Data Fragmentation Technique for Providing Secure Storage in Cloud
Authors:   Research Scholar, Department of CSE, BITM, Ballari, Karnataka, India, Kumar D* Mr. Girish , Biradar Dr. Rajashree V ,   Professor Department of CSE, BITM, Ballari, Karnataka, India, Patil Dr. V C ,   Principal, BITM, Ballari, Karnataka, India
Published: December 2019

The existing works on security storage in cloud computing cause overhead, data correctness issue, key escrow problem, single point of failure and so on. This develops Multiple Authority based Data Fragmentation Technique for providing Secure Storage in Cloud Computing. It aims to avoid the key escrow and single point of failure issues of secure storage. In this technique, the Cloud Service Provider (CSP) provides multiple services for a client, the trusted and verification authorities are responsible for jointly creating the master key and system parameters and the Cloud Data Owner (CDO) encrypts the documents using CP-ABE. In order to provide data recoverability, a file is divided into blocks and sectors. Probabilistic algorithm checks the integrity of fragmented file. By simulating, the proposed technique reduces the overhead and data failures.
Ductility Analysis of Beams Reinforced with Super Elastic Shape Memory Alloys
Authors:   Head of the department, civil engineering department, Pace institute of technology and sciences, vallur, prakasam dist., Andhra Pradesh, India., Naidu* G.Ganesh , Vara prasad M.Sri Durga ,   Assistant professor, civil department, Pace institute of technology and sciences, vallur, prakasam dist., Andhra Pradesh, India, Gayathri M.Saritha ,   PG scholar, Pace institute of technology and sciences, vallur, prakasam dist., Andhra Pradesh, India., Kumar P.Ravi ,   Assistant professor, civil department, Pace institute of technology and sciences, vallur, prakasam dist., Andhra Pradesh, India
Published: December 2019

Ductility of the beam is important phenomenon while calculating the strength of any structure. This paper discusses the ductile behavior of beam reinforced with super elastic shape memory alloys. Before initiating the experimental program preliminary properties of shape memory alloys (SMA) were defined and concrete properties are defined by casting standard cubes. Experimental program consists of two point load test on a beam reinforced with SMA. Beam is loaded to know the ultimate deflection. Load deflection characteristics and deformation of the beam are analysed to study the ductile characteristics.
Product Quality through Process Improvement- A Pathway to Zero Defects
Authors:   Management Studies, Kongu Engineering College, Erode, Tamil Nadu, India., Umasankar* Dr.M. , Padmavathy Dr.S. ,   Management Studies, Kongu Engineering College, Erode, Tamil Nadu, India., Prakash Dr.N. ,   Management Studies, Kongu Engineering College, Erode, Tamil Nadu, India.
Published: December 2019

Quality is the most important factor needed by an organization. Defects are the common issues which arise in the production. Quality model is a strategy that tackles the quality issue that the companies have to control the defects. To improve the efficiency of the product defects needs to be minimised in the production. Zero Defects is a management tool aimed at the reduction of defects through prevention. Zero defects mean that manufacturing the products without any defects. To attain zero defects in production is not an easy task. In order to attain the zero defects in the production a perfect environment, machines, skilled labours are required. All the organisations are moving towards the goal of zero defects in order to provide quality products and to improve the efficiency of raw materials. In this study observation research is used. The data are collected by the observation method. The purpose of the study is to find out the ways to reduce defects in an organization and to check whether the defects in production process can be eliminated by statistic control methods.
Identification of Tumour from Ct Images using Contour Plot and Gui
Authors:   Assistant professor CSE (O.G), SRM Institute of technology, Ramapuram, Priya S , Nischal R ,   BTECH CSE (3rd year), SRM Institute of technology, Ramapuram, Sekar Mithrashree ,   BTECH CSE (3rd year), SRM Institute of technology, Ramapuram, Yadav Harshit ,   BTECH CSE (3rd year), SRM Institute of technology, Ramapuram
Published: December 2019

The healthcare sector in terms of medical imaging is picking up significance with people preferring automation which is eventually fast and effective in determination of the problem which can give understanding to the picture way superior than to the human eyes. Brain tumour is a condition where it ranks second in terms of cancer related deaths for men and ranks at fifth place for women over the age group of 20 to 39.Brain tumours are extremely agonizing and it ends up being significant reasons for various ailments if not cured properly. Analysis of the tumour and its type is a very significant part in its treatment. Tumours are of two types benign and malignant, Distinguishing the type of tumour place an important role in its treatment .The principal reason for the rise in the number of malignancy patients is due to numbness towards its treatment at early stages. The whole idea of this paper is to create an algorithm that could educate the patient about the tumour with the help of image processing techniques. The basic image processing techniques are used to obtain the background by the sharpening the image, reduction of noise together with morphological functions such as erosion and dilation. To obtain the tumour images we are intended to subtract the background of the image and their negatives from the various set of images. Plotting contour and c-label of the tumour and its boundary provides us with information related to the tumour that can help in a better visualization in diagnosing cases. This procedure helps in recognizing the size, shape and location of the tumour. This in turn helps the doctors as well as the patient to comprehend the complexity of tumour with colour labelling for different levels of elevation. A graphical user interface would help the medicinal staff to access the reports and also find the background and contour plot of tumour within their finger tips.
Different Control Strategies Adopted by Dual Inverter Fed Open End Winding Induction Motor Drive
Authors:   Electrical and Electronics, Karunya University, Coimbatore, India., venugopalan Kavya , V * Dr Jegathesan ,   Electrical and Electronics, Karunya University, Coimbatore, India.
Published: December 2019

An open end winding induction motor (OEWIM) drive fed by dual inverter is now being studied for high power application. It is simple in design, operation and it does not have any capacitor balancing issues. A dual inverter circuit can either have an isolated dc sources or a single dc source. Different PWM methods are used to control dual inverter fed OEWIM drive. A review of different control strategies applied for dual inverter fed OEWIM drives are given in this paper.
Using Costumer Behavior to Build Social Network Based On Mole-Algorithm
Authors:   University of Babylon, Department of Information Network, College of Information Technology, Babil, Iraq., Hussain* Saba M. , Al-Sultany Ghaidaa A. ,   University of Babylon, Department of Information Network, College of Information Technology, Babil, Iraq.
Published: December 2019

The modern technology has great interring on building relationships between users on social networking. Therefore, it is possible to promote goods, advertisements and rumors among people easily. A trust network is created for each member. With this model, Members are represented as nodes in the graph, and trust relationships are represented between members according to the directed edges.This approach is based on the premise the neighbors with higher trust ratings are likely to agree with each other about the trustworthiness.The question here is: how can trust networks be built between users? This work proposed to build a social network based on the Mole algorithm. The user’s behavior is extracted to be use instead of user's rates in the original mole algorithm. The outcomes of this method were of a higher satisfactory level and a remarkably increased accuracy value by 15% over traditional Mole algorithm.
Prediction of DDoS Attacksusing Machine Learning and Deep Learning Algorithms
Authors:   Research Scholar, Department of Computer Science Engineering, JNTUA College of Engineering, Anantapuramu, Andhra Pradesh, India, Saritha*  , Reddy B. Rama Subba ,   Professor, Department of Computer Science Engineering, SV College of Engineering, Tirupati, Andhra Pradesh, India, Babu A Suresh ,   Professor and HOD, Department of Computer Science Engineering, JNTUA College of Engineering, Anantapuramu, Andhra Pradesh, India
Published: December 2019

With the emergence of network-based computing technologies like Cloud Computing, Fog Computing and IoT (Internet of Things), the context of digitizing the confidential data over the network is being adopted by various organizations where the security of that sensitive data is considered as a major concern. Over a decade there is a massive growth in the usage of internet along with the technological advancements that demand the need for the development of efficient security algorithms that could withstand various patterns of the security breaches. The DDoS attack is the most significant network-based attack in the domain of computer security that disrupts the internet traffic of the target server. This study mainly focuses to identify the advancements and research gaps in the development of efficient security algorithms addressing DDoS attacks in various ubiquitous network environments.
Production of Polyphenol from Phyllanthus Emblica using Soxhlet Extraction Process
Authors:   Chemical Engineering department, Kongu Engineering College, Erode, India., Manikandan* Dr. A.S.Periasamy , Akila S. ,   Chemical Engineering department, Kongu Engineering College, Erode, India., Prabu Dr. K. ,   Physics department, Kongu Engineering College, Erode, India.
Published: December 2019

Phyllanthus emblica contains rich vitamin C and polyphenol. In the present work, the potential anti oxidant polyphenols is produced from Phyllanthus emblica using soxhlet extraction process. For this purpose, 150 millimeter size of the phyllanthus emblica bark was collected and solvents such as ethanol, acetone and methanol is used for extracting polyphenols from the Phyllanthus emblica. The obtained extract is separated and total phenolic content is determined from the product. From the study it was observed that maximum yield of polyphenol obtained from 80 volume % of ethanol at a temperature of 70°C. The results will be useful in understanding this amla fruit, hence large scale production can be improved industrially.
IoT based Eye Movement Guided Wheelchair driving control using AD8232 ECG Sensor
Authors:   Assistant Professor, Department of Computer Engineering, Dwarkadas J. Sanghvi College of Engineering, University of Mumbai, India., Kanani* Pratik , Padole Dr. Mamta ,   Associate Professor, Department of Computer Science and Engineering, The Maharaja Sayajirao University of Baroda, India.
Published: December 2019

Each and every muscular movement in the body is induced by electrical signals. These electrical signals are in mV and they are very sensitive to noise factors like electrical gadgets placed nearby, different movements, earthing, etc. If such signals are traced carefully, they can be used to accomplish multiple tasks. Such signals are called Myographs. This paper proposes a new method for eye-movement tracking, using Arduino Nano along with AD8232, i.e. the ECG Sensor. Most of the devices for Eye Tracking need to be placed right on the eye which sometimes use Infrared Radiations which may be harmful to eyes. This proposed method captures the gaze direction by muscular contraction, also called Myography. This is done by placing the electrode pads on the forehead and the ECG line graphs demonstrate the direction of gaze which can be understood using the convolution method. After the movement direction is decided based on convolution method, the values are sent and received from the IoT cloud. Thus, the wheelchair movement can be controlled by online and offline modes, making it more opportune to the patient. The goal of the system is to avail low-cost solutions to the needer.
Consumers’ Perception toward Private Brands with Reference to Grocery Products
Authors:   Assistant Professor, Department-Marketing & Strategy, ICFAI Business School (IBS), Hyderabad,, Siriguppi* Dr.Dwarakanath , Alreddy Dr.Santosh Kumar ,   Assistant Professor, Department-Marketing & Strategy, ICFAI Business School (IBS), Hyderabad
Published: December 2019

Organized retailing in India has witnessed a massive growth in recent times. Big corporates have entered into this growing sector. The Private brands i.e., the brands promoted by the organized retailers are the major revenue drivers for these retail firms. These organized retailers predominantly having presence in the segments such as apparels, food and grocery, healthcare, personal care, lifestyle products etc. In the majority of the product categories established national brands are doing extremely well.But the private brands are generating revenues for the retailers mainly in the grocery segments. The important demographic variables like income, occupation and lifestyle have a key role in shaping up the perceptions of consumers of private brands. Private brands are a head of national brands with regard to addressing the price sensitive consumers when compared to national brands. The success of private brands is closely associated with the store image. The national brand manufacturers have invested huge capital on packaging innovations to draw the attention of the consumers. The quality savvy consumers prefer national brands over the private brands. The organized retailers are focusing much on value added services to have competitive advantage. This study found that consumers perceive private brands also offer better quality and greater value for money like national brands especially grocery products.
Model of Development of the Owners of Women and Men's Expert in the Law of Islamic Authority
Authors:   Diponegoro University, Semarang, jawa Tengah, Indonesia., Sismarwoto* Edy
Published: December 2019

The basic provisions for the distribution of Islamic inheritance listed in the Qur'an determine the division of 1 compared to 2 for female heirs with men. At first glance, the provision looks discriminatory for people who have not understood the overall provisions in Islamic Heritage Law. According to Islamic Inheritance Law, balancing the acquisition of female heirs with men can be done with Grants and Testaments, so that a female heir can obtain the same inheritance with male heirs. This can happen because Grants and Testaments are implemented earlier than the distribution of inheritance, so that this is used by Muslims in Indonesia to solve inheritance problems through Grants or Testaments before the heir dies, by requesting the agreement of all heirs entitled to inherit, without distribution inheritance.
Artificial Intelligence based Credit Card Fraud Identification using Fusion Method
Authors:   Associate Professor, Department of IT, Gayatri Vidya Parishad College of Engineering (Autonomous), Visakhapatnam, India., Devi* Dr. D. Uma , T Dr. Gnanaprakasam ,   Associate Professor, Department of CSE, Gayatri Vidya Parishad College of Engineering (Autonomous), Visakhapatnam, India.., Dr. Anbhazhagan  ,   Assistant Professor, Department of IT, Gayatri Vidya Parishad College of Engineering (Autonomous), Visakhapatnam, India.
Published: December 2019

Increase of online transactions has given a greater scope for increasing of credit card frauds. In this work we develop a general framework with Artificial Intelligence based Hadoop. Also that fuses multiple detection algorithms to improve accuracy, reliability. Further to support large amount of transactions storage. The workflow satisfies the design ideas of current credit card fraud identification systems. The verification process for all the transactions is implemented. If incoming transaction that passed through trained model with low probability then it is rejected.
Effective Facial Emotion Recognition using Convolutional Neural Network Algorithm
Authors:   Dept. of CSE, Institute of Aeronautical Engineering, Dundigal, Hyderabad, India, Divya* M , Reddy* Dr. R Obula Konda ,   Professor, Dept. of CSE, Institute of Aeronautical Engineering, Dundigal, Hyderabad, India., Raghavendra C ,   Asst. Professor,Dept. of CSE, Institute of Aeronautical Engineering, Dundigal, Hyderabad, India.
Published: December 2019

This paper presents the idea related to automated live facial emotion recognition through image processing and artificial intelligence (AI) techniques. It is a challenging task for a computer vision to recognize as same as humans through AI. Face detection plays a vital role in emotion recognition. Emotions are classified as happy, sad, disgust, angry, neutral, fear, and surprise. Other aspects such as speech, eye contact, frequency of the voice, and heartbeat are considered. Nowadays face recognition is more efficient and used for many real-time applications due to security purposes. We detect emotion by scanning (static) images or with the (dynamic) recording. Features extracting can be done like eyes, nose, and mouth for face detection. The convolutional neural network (CNN) algorithm follows steps as max-pooling (maximum feature extraction) and flattening.
Function Prediction from Protein Primary Structure using Deep Learning LSTM Algorithm
Authors:   currently pursuing a PhD degree program in Computer Science & Engg Department, Moulana Azad National Institute of Technology, Bhopal, India,, Deen* Anjna Jayant , Gyanchandani Manasi ,   currently working as an Assist. Professor in Computer Science & Engg Department, Moulana Azad National Institute of Technology, Bhopal, India,
Published: December 2019

Biological information of protein primary structure is responsible for finding the protein function, extracting features and function of a protein in the biology lab is challenging and time-consuming. Identification of protein function provides essential information for the treatment of various diseases and drug design. Therefore, extracting the protein knowledge from primary structure alone has been a diverse field in the study of bioinformatics data mining and computational biology. This study aimed to function prediction of protein primary structure using the LSTM methods. PRNP(prion protein )most of the nervous system tissues express by prion protein, this is generally to protease-resistant from disease, due to this reasons, the human codon PRNP is most closely associated with Alzheimer disease. The PRNP protein data trained with Hemo sapiens PRNP selection, classification was implemented with network layer perceptron. The learning algorithms are frame by the nervous system. The training results observation indicate that the learning success of prion protein classification leads positively.
IoT Based Integration of Pulse and Temperature Measurement in Medical Environment
Authors:   Professor & Head of the department of Electronics and Communication engineering, Vardhaman college of engineering, Hyderabad, India, Kumar* Dr. G. A. E. Satish , Ammaji K. ,   Electronics and Communication engineering, Vardhaman college of engineering, Hyderabad, India
Published: December 2019

Crisis therapeutic benefits comprises of arriving at clinic inside base sum from claiming the long run so that prompt medicinal services will be Gave. Those suggested framework provides for the close-by hospital's area by those joined utilization about worldwide Positioning framework (GPS) equipment and Google guide requisition modifying interface (API). Dependent upon web about Things, it additionally gives data viewing doctor's facility offices like amount about beds, blood level for every one sorts What's more accessibility for doctors utilizing Different installed framework gadgets progressively Throughout major mishaps the place numerous setbacks must be approached. These constant information would accessed from the rescue vehicle through web connectivity Furthermore caution signs are provided for of the comparing healing facilities chosen Toward the setbacks. This serves in diminishing those morta rate Also enhances the cordiality of the people.
Design Optimization of Helical Coil Suspension for Mass Minimization
Authors:   Industry Fellow at University of Petroleum and Energy Studies(UPES), Dehradun and pursuing Phd. In Management from Jyoti Vidhyapeeth Womens University –Jaipur,India, Singh* Anirudh Kumar , Mittal Vaibhav ,   Student at University of Petroleum and Energy Studies, Dehradun and pursuing MBA in Oil and Gas from University of Petroleum and Energy Studies(UPES) , Dehradun,India
Published: December 2019

Helical coil suspensions are used to absorb vibrations as vehicle moves on rough roads. As automobile industry demands for increased fuel efficiency, the designers emphasize on weight reduction of automobile components to the maximum extent possible without much compromise in strength. The current research analyzes the Hero Honda suspension subjected to bumps on roads and causing deformation and stresses on the component. Using Taguchi Response surface optimization, response surface plots and sensitivity plots are generated for stress and strain energy. From the response surface optimization, it is evident that nearly 23% of mass reduction is possible. The CAD modelling and analysis is conducted using ANSYS 18.1 software which is based on Finite Element Analysis and response surface optimization is also conducted on the same platform.
The Effect of Corporate Governance Attributes On Audit Quality in Nigeria
Authors:   Faculty of Business and Management Sciences, University Sultan Zainal Abidin (UniSZA),Terengganu, Malaysia., Mustapha* Umar Aliyu , Mohd Rashid Norfadzilah Nik ,   Faculty of Business and Management Sciences, University Sultan Zainal Abidin (UniSZA),Terengganu, Malaysia., Lateef Saheed Ademola ,   Faculty of Business and Management Sciences, University Sultan Zainal Abidin (UniSZA),Terengganu, Malaysia, Ado Abdullahi Bala ,   Faculty of Business and Management Sciences, University Sultan Zainal Abidin (UniSZA),Terengganu, Malaysia
Published: December 2019

An excellent relationship between corporate governance attributes and audit quality is another monitoring mechanism that enhances the reliability of financial information. Though, one of the strategies of achieving the qualitative audit is that auditors must be independent of mind and appearance. As such, an active board and audit committee may support in monitoring the reliability of an entity’s audit quality. The objective of this study is to investigate the effect of corporate governance attributes on audit quality for the Nigerian listed companies. The population of the study includes all the companies in the eleven sectors of the economy, excluding the financial sector from 2012-2017. The study used only sixty-three companies as a sample after filtration and screening. The data was obtained from the annual reports and accounts of the selected companies. Multiple regression was carried out in testing the relationships between the dependent and independent variables. The result of the regression highlighted an insignificant negative relationship for board independence and positive significant and negative significant for meetings and gender of the audit committee, respectively. Agency is the main theory employed, which is supported by earnings management theory. Thus, the findings support and contradict the theories. For the implication, this study provides clarification on the contributions of the board independence and audit committee meetings and gender towards the audit quality of the Nigerian listed companies, and this will help the users of the financial information and relevant scholars in literature development.
The impact of Supervisor Support towards Extra-Role Behavior
Authors:   Faculty of Economics & Management, Universiti Kebangsaan Malaysia, Selangor, Malaysia., Samsudin* Asyakireen , Ismail Azman ,   Faculty of Economics & Management, Universiti Kebangsaan Malaysia, Selangor, Malaysia.
Published: December 2019

Effective supervisor support consists of two main features: emotional and instrumental support. Recent studies from the perspective of organizational climate which focus on the execution of such features among supervisors has a significant impact towards positive employee outcomes especially in their extra-role behavior. Even though this relationship has been widely explored, the role of supervisor support as a vital construct is still less discussed in the organizational climate literature. Therefore, this research was conduct to investigate the relationship between supervisor support and extra-role behavior. The data was collected using survey on 113 executives and non-executives from a telecommunication organization. The findings from the SmartPLS model analysis revealed that, extra-role behavior contributed to 31% variance on the proposed model. This shows that the ability of supervisors to provide emotional and instrumental support to employees has led to an increase in their extra-role behavior in the organization. The implications of this study in relation to theories, methodologies and organizational practitioners are also discussed.
Intelligent Algorithm Based Maximum Power Point Tracking of Photovoltaic Solar Pump
Authors:   Department of Electrical & Electronics Engineering, JNTUA College of Engineering, Ananthapuramu, India., Reddy* Buddapu Hari Sankar , Nagabhushanam K. ,   Assistant professor(adhoc) in Electrical Department, JNTUA College of Engineering, Ananthapuramu, India., Kiranmayi Dr R. ,   Assistant professor&HOD in Electrical Department, JNTUA College of Engineering, Ananthapuramu, India.
Published: December 2019

Solar Photovoltaic (PV) system is pollution free energy source. PV panel have maximum power at unique point that point depends on temperature and irradiance of environment. Therefore it is necessary to track maximum power point for maximum efficiency. PV water pump system based on ANFIS controller produces poor performance under different irradiation and temperature condition. To improve performance of PV water pumping system PSOMPPT controller was implemented .compare the transient behavior of PV water pump by PSOMPPT with ANFIS based MPPT.
An Adaptive Framework for Event Detection in Wireless Sensor Network
Authors:   Dept of Computer Applications,UCE, BIT Campus, Anna University,Trichy., Nalini* S. , Valarmathi Dr.A. ,   Dept of Computer Applications,UCE, BIT Campus, Anna University,Trichy.
Published: December 2019

A wireless sensor network is the new generation technology that holds the capability and it has transformed to interact with the physical environment according to the user’s demands. The features of a sensor network play the major role in various application fields that fit in the broad category for tracking, monitoring, automation and detection and in that category WSN plays the predominant role in event monitoring. Event detection in sensor networks is the process of observing; evaluating an event based on multiple attributes and generates an alarm at the appropriate time. A framework was developed to detect the event in in-door environment. The proposed event detection model comprises of three phases. In the first phase the network id grouped and cluster head is determined and subsequently composite model was developed to determine the event and the final phase involves in the fuzzy rule optimization. A simulation setup has created and the experimental evaluation validates the event detection mechanism through various metrics such as cluster communication, event accuracy are measured and evaluated. The results are compared with the energy efficient HEED algorithm and connected dominating set based cluster MCDS-CCH algorithm further the composite event detection mechanism with optimization rule outperforms than the well-established J48 decision tree classification algorithm.
Higher Dimensional Data Access and Management with Improved Distance Metric Access for Higher Dimensional Non-Linear Data
Authors:   Research Scholar, Faculty of Computer Applications Department, MRIIRS, Faridabad (India), Jolly* Sakshi , Gupta Dr. Neha ,   Associate Professor, Faculty of Computer Applications Department, MRIIRS, Faridabad (India)
Published: December 2019

Distance metrics for different kinds of data we daily use is the common approach for indentifying the insights of information and identifying the noisy and resolving the information with different scenarios and rules. The methodology imposed here is different in kinds of rules and the information we provide to the knowledge machine is the most important and considerable thing in designing and implementing distance metrics. The contradictory data is mixed information which the dataset includes is having the irrelevant information with the relevant information and identifying the novel thing from the information gathered. The information and the data gathered will be in the form of different formats of data and the most frequent thing we use is to make the clusters. In this article machine learning applications and the different data mining distance metric algorithms will be discussed and the information passed to the machine will be the ultimate and the dataset making is the quite challenging. In machine learning implementation the path of identifying the concept behind the everything to be predicted. The prediction works when the data is accurate and the information we get from the different repositories. All the data captured is not genuine and the combination of different such kind repositories make the contradicting data. The usage the additional distance metrics to manipulate and calculate the relation between the variables or the features we are considering. The machine learning is the finite mechanism which can help the researchers to identify the relationships between the variables or there is chance to find the inner relations among this kind of contradictory information. Contradictory data can help to identify the inner relations which can’t be identified with normal distance metrics and here used a little advanced and succeeded in reaching the optimal result.
Thermal Analysis of Arduino Uno Microcontroller
Authors:   School of Mechanical engineering, Reva University, Bengaluru, India., Tripathi* Richa , Simha Akshay ,   Department of Mechanical Engineering , Acharya Institute of Technology, Bengaluru, India., C Harshith ,   Department of Mechanical Engineering, Acharya Institute of Technology, Bengaluru, India.
Published: December 2019

It so happens that microcontrollers tend to get heated by immense temperature effects due to environmental changes and disturbances. Many microcontrollers have thermal temperatures ranging from 10 °C to 50 °C. In this study, design and thermal analysis of microcontroller are presented where systems operate on ARDUINO microcontroller. Microcontrollers are used for automation and robotics applications. Various industrial applications can use this microcontroller in the future by using IoT principles. Hence, there is a need for thermal analysis of the microcontroller. Arduino UNO is taken for study. The effect of various factors such as thickness and length of PCB were studied. Throughout the study, it was observed that there is a 50-60% achievement in heat dissipation with the modified microcontroller.
Numerical Analysis of Turbulent Flow over a 2-D Prolate Spheroid
Authors:   School of Mechanical Engineering, REVA UNIVERSITY, Bangalore, India., Channabasav*  , Godignur Dr Sharanappa ,   School of Mechanical Engineering, REVA UNIVERSITY, Bangalore, India.
Published: December 2019

Recently external flow over body creates more interest of study because flow characteristics are dominated by complex phenomenon like separation and transition.in this paper turbulent flow over a 2-D prolate spheroid (6:1) is consider for analysis. Generation of surface grid around prolate spheroid by using grid generation code MESHGEN. Laminar and turbulent Flow past given geometry is simulated by Navier-stoke code RANS3D by second order upwind scheme for convective flux discretization by k-ε model for different Reynolds number, angles of attack .It is observed that the value of drag coefficient is lower than that of a cylinder due to its more streamlined contour. The variation of Cd was steeper in the laminar range than the turbulent range due to the effects of viscous forces being greater in laminar flow.
Information Security Risk Management for BIDUK System
Authors:   Master’s degree student of Information Systems Department in Binus University, Kristianto*  , Alamas Natanael ,   Master’s degree student, Information Systems Management Department in Binus, University., Suroso Jarot S. ,   Senior lecturer, Information Systems Management Department in Binus University.
Published: December 2019

The use of digital technology nowadays makes data and information become vital part of any organization. Non-profit organization, such as Archdiocese of Jakarta, also relies on system to do their work and services for Catholic people under their jurisdiction. BIDUK system is used by Archdiocese of Jakarta as information system to administrate and provide service to people. Its information also used as tools for decision making. Currently, there is no proper information security risk management method used for BIDUK system, which is important system for Archdiocese of Jakarta. This study’s objective is to propose a IS risk management method that can be used to manage risks for BIDUK system. This study proposes OCTAVE Allegro method because of its simplicity and suitable for small organization. After following every IS risk management phases of OCTAVE Allegro, we found that this method is suitable to be used to manage risks of BIDUK system.
Income, Vulnerability and Empowerment of Women Street Vendors in Haflong Town of Assam
Authors:   Department of Economics, Mahapurusha Srimanta Sankaradeva Viswavidyalaya Kalongpar, Nagaon (Assam), India, Nath* Dr. Biman Kumar
Published: December 2019

Street vending constitutes an important segment of urban labour market for a temporary source of subsistence self employment in India since time immemorial. The benefit of street vending is that, employment can be created without adequate government intervention except some regulatory mechanism like municipal board or parking fee etc. But, the income generated from such employment cannot be sustainable in most of the hilly areas of North Eastern States (NES) as it can provide only a bare minimum amount of income especially in the lower circuit of urban informal sector. In addition, women in such employment are really vulnerable when they are mostly engaged in vegetable vending like occupations in small hill towns. The present study seeks to understand the income and employment pattern of women engaged in vegetable vending in Haflong town of Assam. Haflong town is located in erstwhile North Cachar Hills (presently Dima Hasao district) of Assam. The survey has been conducted with pre tested schedule among thirty women vegetable vendors in the town to understand the income, vulnerability and empowerment pattern of the sample respondents. It is found that vulnerability and livelihood situation of the sample women vegetable sellers are not in a decent condition. By using basic statistical tools, from the discussion, it can be deduced that there is urgent need for facilitating access to suitable and adequate space, institutional credit, social security and skills to the urban vegetable women vendors.
Machine Learning Based Classification Models for Financial Crisis Prediction
Authors:   Department of Computer and Information Science, Annamalai University, Chidambaram, Cuddalore, TamilNadu, India., Christy* S. Anand , Arunkumar Dr.R. ,   Department of Computer Science and Engineering, Annamalai University, Chidambaram, Cuddalore, TamilNadu, India.
Published: December 2019

Financial Crisis Prediction (FCP) being the most complicated and expected problem to be solved from the context of corporate organization, small scale to large scale industries, investors, bank organizations and government agencies, it is important to design a framework to determine a methodology that will reveal a solution for early prediction of the Financial Crisis Prediction (FCP). Earlier methods are reviewed through the various works in statistical techniques applied to solve the problem. However, it is not sufficient to predict the results with much more intelligence and automated manner. The major objective of this paper is to enhance the early prediction of Financial Crisis in any organization based on machine learning models like Multilayer Perceptron, Radial basis Function (RBF) Network, Logistic regression and Deep Learning methods and conduct a comparative analysis of them to determine the best methods for Financial Crisis Prediction (FDP). The testing is conducted with globalized benchmark datasets namely German dataset, Weislaw dataset and Polish Dataset. The testing is performed in both WEKA and Rapid Miner Framework design and obtained with accuracies and other performance measures like False Positive Rate (FPR), False Negative Rate (FNR), Precision, Recall, F-score and Kappa that would determine the best result from specific algorithm that will intelligently identify the financial crisis before it actually occurs in an organization. The results achieved the algorithms DL, MLP, LR and RBF Network with accuracies 96%, 72.10%, 75.20% and 74% on German Dataset, 91.25%, 85.83%, 83.75% and 73.75% on Weislaw dataset, 99.70%, 96.30%, 96.21% and 96.14 on Polish dataset respectively. It is evident from all the predictive results and the analytics in Rapid Miner that Deep Learning (DL) is the best classifier and performer among other machine learners and classifiers. This method will enhance the future predictions and would provide efficient solutions for financial crisis predictions.
Intersection Features for Android Botnet Classification
Authors:   Faculty of Information and Communication Technology, University Technical Malaysia Melaka (UTeM), Melaka, Malaysia., Ismail* Najiahtul Syafiqah , Yusof Robiah ,   Faculty of Information and Communication Technology, University Technical Malaysia Melaka (UTeM), Melaka, Malaysia., Abdollah Mohd Faizal ,   Faculty of Information and Communication Technology, University Technical Malaysia Melaka (UTeM), Melaka, Malaysia., Saad Halizah ,   Faculty of Information and Communication Technology, University Technical Malaysia Melaka (UTeM), Melaka, Malaysia.
Published: December 2019

The evolution of the Internet of things (IoT) has made a significant impact and availed opportunities for mobile device usage on human life. Many of IoT devices will be supposedly controlled through a mobile, giving application (apps) developers great opportunities in the development of new applications. However, hackers are continuously developing malicious applications especially Android botnet to steal private information, causing financial losses and breach user privacy. This paper proposed an enhancement approach for Android botnet classification based on features selection and classification algorithms. The proposed approach used requested permissions in the Android app and API function as features to differentiate between the Android botnet apps and benign apps. The Chi Square was used to select the most significant permissions, then the classification algorithms like Naïve Bayes and Decision Tree were used to classify the Android apps as botnet or benign apps. The results showed that Decision Tree with Chi-Square feature selection achieved the highest detection accuracy of 98.6% which was higher than other classifiers.
Assessment of the Radiation Dose during 16 Slices CT Examinations
Authors:   High Institute Of Health, Hassan 1st University, Settat Morocco., Mounir* Mkimel , Redouane El Baydaoui ,   High Institute Of Health, Hassan 1st University, Settat Morocco., Reda Mesradi Mohamed ,   High Institute Of Health, Hassan 1st University, Settat, Morocco., Saad El Madani ,   High Institute Of Health, Hassan 1st University, Settat Morocco., Abderaouf El Hilali ,   High Institute Of Health, Hassan 1st University, Settat Morocco.
Published: December 2019

In this work. Two studies were presented. The first one is an experimental study of the influence of different scan parameters (potential tube. current tube and pitch) on the radiation dose is presented. It has been demonstrated that the radiation dose increases if we increase the tube current or the potential current. Contrary to the pitch. the radiation dose is reduced when the pitch increases. The second study is a Monte Carlo validation of a CT named SOMATION emotion from Siemens using GATE. Results were carried out for different voltage 80.110.130 kVp. Results of the simulation are presented and good agreements are observed (less than 2.6% for head phantom. and less than 4.6% for body phantom for all applied voltages). The influence of changing the phantom diameter on the CTDIw was also presented. the CTDIw decreased nonlinearly with increasing the phantom diameter. Moreover. the CTDIw differences decreased if the phantom diameter increased. It was demonstrated that the CTDI100 values can be characterized as functions of the kVp. mAs and diameter of phantoms. Based on these results. it is possible to optimize the CT parameters in clinical applications. Finally the effective dose was calculated using the method dose length product and the conversion factors for four clinical protocols.