bluuebunny/crossref_metadata_2025 huggingface dataset:
Automated Digital Image Clustering Algorithm Based on Colour Distance and IDBSCAN
Authors:   Research Scholar, Dept. of Computer Science,Manonmaniam Sundaranar University, Tirunelveli, India, Sangeetha* J. Margaret , Velmani P. ,   Asst.Professor, Department of Computer Science, The M.D.T. Hindu College, Tirunelveli, India, Rajakumar T.C. ,   Asso. Professor, Department of Computer Science, St. Xavier’s College, Tirunelveli, India
Published: January 2020

Data clustering is inevitable for crucial data analytic based applications. Though data clustering algorithms are capacious in the literature, there is always a room for efficient data clustering algorithms. This is due to the uncontrollable growth of data and its utilization. The data clustering may consider any of the data formats such as text, images, audio, video and so on. Due to the increasing utilization trend of digital images, this work intends t clustering algorithm for digital images, which is based colour distance and Improvised DBSCAN (IDBSCAN) algorithm. The proposed IDBSCAN completely weeds out the annoying process of setting the initial parameters such as 𝜺 and them automatically. The performance of the proposed work is analysed in terms of clustering accuracy, precision, recall, F measure and time consumption rates. The proposed work outperforms the existing approaches with reasonable time consumption.
The Influence of Institutional Ownership, Dividend Policy, Profitability, and Company Sizes on Debt Policy
Authors:   Accounting Department, Faculty of Economics and Communication, Bina Nusantara University, Jakarta, Indonesia,, Handoko* Bambang Leo , Nurviadin Rizky ,   Accounting Department, Faculty of Economics and Communication, Bina Nusantara University, Jakarta, Indonesia,
Published: January 2020

In some public companies, sometimes the shareholders were also becomes management, this situation is called institutional ownership. The aim to our research is acquired empirical result regarding effect of management stock owner on the company, dividend policy, returns on asset and company total asset on liability to total asset. Our research focus is on public companies which listing in Indonesia Stock Exchange along 5 consecutive years (2014 until 2018). Data collection used purposive sampling method by using 17 companies meet the criteria and take as sample. We use financial data acquired from stock exchange website. We used ordinary least square statistical analysis using statistical software to test our hypothesis. This study concluded that institutional share, dividend payment procedure, and company total asset have negative and not significant impact on company liabilities. Otherwise, profitability affect in opposite direction and significant to company liabilities.
Deep Learning Technique to Predict Heart Disease using IoT Based ECG Data
Authors:   Department of Computer Science, Alagappa University, Karaikudi, India., Virgeniya* S.Clement , Ramaraj Dr.E. ,   Professor & Head, Department of Computer Science, Alagappa University, Karaikudi, India.
Published: January 2020

Scientific Knowledge and Electronic devices are growing day by day. In this aspect, many expert systems are involved in the healthcare industry using machine learning algorithms. Deep neural networks beat the machine learning techniques and often take raw data i.e., unrefined data to calculate the target output. Deep learning or feature learning is used to focus on features which is very important and gives a complete understanding of the model generated. Existing methodology used data mining technique like rule based classification algorithm and machine learning algorithm like hybrid logistic regression algorithm to preprocess data and extract meaningful insights of data. This is, however a supervised data. The proposed work is based on unsupervised data that is there is no labelled data and deep neural techniques is deployed to get the target output. Machine learning algorithms are compared with proposed deep learning techniques using TensorFlow and Keras in the aspect of accuracy. Deep learning methodology outfits the existing rule based classification and hybrid logistic regression algorithm in terms of accuracy. The designed methodology is tested on the public MIT-BIH arrhythmia database, classifying four kinds of abnormal beats. The proposed approach based on deep learning technique offered a better performance, improving the results when compared to machine learning approaches of the state-of-the-art.
Therole of Metasomatic Breeds in Ore Bodies Forecasting to Depth (Beshkuduk)
Authors:   Assistant Professor, Department of Geology, Mineralogy and Petrography, Tashkent State Technical University, PhD University Street 2, Tashkent, Uzbekistan,, Zakirovich* ShermukhamedovTulkin , Omonovich Janibekov Bobir ,   Assistant Professor, Department of Geology, Mineralogy and Petrography, Tashkent State Technical University, PhD University Street 2, Tashkent, Uzbekistan,, Shermatovna Tulyaganova Nargiza ,   Head of Department of Geology, Mineralogy and Petrography, Tashkent State Technical University, University Street 2, Tashkent, Uzbekistan,, Tulkunovna Rahmatullayeva Nargiza ,   Senior Lecturer Department of Ecology and Environmental Protection, Tashkent state technical university University Street 2, Tashkent, Uzbekistan,
Published: January 2020

Hydrothermal mineralization in the deposit has a wide development. It occurs itself in three stages: pre-ore, ore and post-ore. In the pre-ore phase, quartz-albite-sericite-chlorite metasomatitesoccurred. In the ore stage, two stages are distinguished: the earlier quartz-pyrite-arsenopyrite stage with gold and quartz - the bleachers association. The minerals of these stages are confined to tectonic troublesome zones, zones of vein silicification, quartz and shale breccias. In the placement of products of hydrothermal metasomatism, a certain horizontal zonality is detected. There is a consistent sequential change of zones with distance from the quartz veins and faults.
Application of Machine Learning Techniques to Predict the Impact of Health Insurance on the Wellbeing of an Individual
Authors:   Department of Computer Science & Engineering, Dr.Ambedkar Institute of Technology, Bengaluru 560056, Karnataka, India., Taranath* Poornima , Das Sweta ,   Department of Computer Science & Engineering, Dr.Ambedkar Institute of Technology, Bengaluru 560056, Karnataka, India, S Gowrishankar ,   Department of Computer Science & Engineering, Dr.Ambedkar Institute of Technology, Bengaluru 560056, Karnataka, India.
Published: January 2020

The healthcare domain in India has suffered considerably despite the advancement in technology. Several financing schemes are endorsed by the insurance companies to lessen the financial burden faced by the government and people. Nonetheless, Health Insurance segment in India remains underdeveloped due to various complexities that it faces. This paper exploits a heuristic sampling approach combined with the ensemble Machine Learning algorithms on the large-scale insurance business data to realize the current shape of the Health Insurance industry in India. Through the courtesy of Data Mining and Data Analytics, it is plausible to furnish insights that assist the common people in acquiring closure that helps in the process of decision making.
Effect of Different Environmental Conditions on the Mechanical Properties of CFRP Composites
Authors:   Department of Mechanical Engineering, Faculty of Engineering, Taif University, Kingdom of Saudi Arabia, Ali* Hafiz Tauqeer
Published: January 2020

Carbon Fiber–Reinforced Polymers (CFRP) are extremely strong and stiff. They possess high corrosion resistance and their usage increase where rigidity and high strength-to-weight ratio are needed. Therefore they have been gaining wide usage in number of applications such as aerospace, marine, defense, civil and automobile as of their greater advantages. However the performances of these composites suffer when they are exposed to adverse environmental conditions such as moisture and high temperatures. This study work has been carried out to investigate the effect of environment on carbon composites. The primary purpose of this research study is to explore the degradation of Carbon-Fiber-Reinforced Polymers CFRP composites under various environmental conditions. The environmental conditions have been limited to influence of water uptake and high temperature in this study and the effect of environmental conditions on the tensile strength and modulus of the CFRP composites. For the very purpose, laminates of IM7/977-2 are designed and manufactured. Tensile testing on dry/wet coupons under room/high temperature conditions are conducted to investigate the degradation in strength and modulus of CFRP composites.
Estimation of Percentage of Adulteration using Structural Similarity Index
Authors:   School of Electronics Engineering (SENSE), Vellore Institute of Technology, Chennai (Tamil Nadu), India, Surianarayanan Bharath , Pandian A Sridhar ,   School of Electronics Engineering (SENSE), Vellore Institute of Technology, Chennai (Tamil Nadu), India, Narayanan* Sathiya ,   School of Electronics Engineering (SENSE), Vellore Institute of Technology, Chennai (Tamil Nadu), India, Anbarasi L Jani ,   School of Computing Science and Engineering (SCSE), Vellore Institute of Technology, Chennai (Tamil Nadu), India, Raj Benson Edwin ,   Department of Computer Information Sciences, Higher Colleges of Technology, Fujairah, United Arab Emirates (UAE).
Published: January 2020

Adulteration in food supplies to reduce the cost and thereby compromising in its quality is an ever-growing problem in the food industry. In the past, adulteration estimation was done using chemicals and infrared spectroscopy methods. In this paper, adulteration estimation of chili powder contaminated with brick powder is done by means of Structural Similarity (SSIM) Index and the performance for various levels of contamination is evaluated. SSIM provides a measure of structural similarity between two images i.e. test image and reference image. This work has been carried out to identify contamination in a given sample of chili powder and estimate the approximate level of contamination. Experimental results show that SSIM measure provides an accurate estimate of the degree of contamination.
Role of Information and Communication Technology in Economic Development of India
Authors:   Department of Economics, Dibrugarh University, Dibrugarh, Assam, India, Bhattacharjee* Saurish , Patowary Mridusmita ,   Department of Economics, Dibrugarh University, Dibrugarh, Assam, India
Published: January 2020

Information and Communication Technology (ICT) stresses the role of unified communication and integration of telecommunications, intelligent building management systems and audio-visual systems in modern information technology. In the information age, using information is a prime issue. ICT includes of all technical means that are used to handle information and aid communication. It includes computer and network hardware, middleware and necessary software. Time accessibility of relevant information is vital for economic development of any country. The improvement of economic activity can be brought by improving capacity in terms of enhancing access to information, while also the technical nature of economic activities required that the knowledge of users are constantly updated which can be achieved through their enhanced information seeking behavior by the use of ICTs. Moreover, use of ICTs lead to innovation which further lead to the enhancement of economic growth and human resource development. Thus, the present paper highlights the role of information technology on economic development of the country as a whole. A period of fifteen years is considered for the study Information and Communication Technology index and Economic Development index has been constructed on the basis of Principal Component Analysis. A simple linear regression has also been conducted to examine the impact of ICT on Economic Development in India. Stationarity of the data set are also checked with the help of appropriate unit root testing technique such as Augmented-Dickey Fuller test. The result shows that there has been considerable impact of ICT on Economic Development in India. Policy suggestions are also given on the basis of the findings of the study.
A Hybrid System to Improve the Performance of Diabetes Disease Prediction using Genetic Algorithm
Authors:   Department of Computer Science & Engineering, Rajshahi University of Engineering & Technology, Rajshahi, Bangladesh., Hashi* Emrana Kabir , Zaman Md. Shahid Uz ,   Department of Computer Science & Engineering, Rajshahi University of Engineering & Technology, Rajshahi, Bangladesh.
Published: January 2020

Currently, data mining is playing a significant role in the healthcare system. It helps to extract the hidden pattern from the clinical dataset for further analysis. Also, it can be used to build a tool to manage the medical management system. Among the life-threatening diseases, diabetes mellitus is treated as a serious disease worldwide. Due to its mortality rate, early prediction and diagnosis are very important. Several research works are going on the mentioned issues to reduce the complications caused by diabetes as well as the mortality rate. The medical science needs to analyze an enormous quantity of clinical data for diagnosis purposes using machine learning techniques. In recent approaches, the disease datasets may contain insignificant and digressive features causing less accurate results. The aim of this paper is to analyze the existing prediction systems and hence develop a hybrid disease prediction model using the Genetic Algorithm for Naïve Bayes, Decision Tree and Support Vector Machine classifiers for better accuracy. This proposed diabetes prediction model produces the accuracies of 0.8182, 0.8052, and 0.8312 when Naïve Bayes, Decision Tree, and Support Vector Machine classifiers are used respectively. From the experimental results, it can be demonstrated that for all cases Support Vector Machine provides higher accuracy comparing to the other classifiers. In the analysis, the Pima Indian diabetes dataset is used to construct the proposed model.
Least Square Privacy Preserving Technique for Intrusion Detection System
Authors:   Dept of Mathematics, RAGHU Institute of Technology, Visakhapatnam, India, Mandala* Krishna , babu K Sobhan ,   Dept of Mathematics, JNTUK, UCEN, Narsaraopet, India,, Erothi Uma Shankar Rao ,   Dept of CSE, RAGHU Institute of Technology, Visakhapatnam, India.
Published: January 2020

Network intrusion is a foremost growing concern threat in the cyberspace, which can be damage the network architecture in a multiple ways by modifying the system configuration/parameters. Hackers/Intruders are familiar with signature based intrusion detection models and they are making successful attempts to crash the networks. Hence, it is necessary to preserve user privacy on intrusion data. PPDM techniques forms a necessary but existing techniques such as Encryption, Perturbation, Data Transformation, Normalization, L-Diversity, K-Anonymity methods forms excessive generalization and suppression problems. In this paper, LSPPM distortion technique using Least Square Method with ensemble classification model have been proposed for providing efficient privacy preservation on intrusion data. The proposed methodology is validated on benchmark NSL_KDD intrusion dataset. A comparative analysis of NSL_KDD class attributes is performed for better classification in terms of accuracy, FAR, F-Score and time taken to build LSPPM-NIDS. The experimental results of state-of-art PPDM methods are also analyzed before and after distortion, and privacy measures to ascertain the degree of privacy offered.
Examination of ‘Interests’ and ‘Activities’ of Social Network users
Authors:   Perm National Research Polytechnic University, Perm, Russia., Plotnikov* Andrei V.
Published: January 2020

The present study relates to the analysis of attribute data related to users of the social network VK. The general population N = 52,614 users is the intersection of audiences from two communities for social media marketing. Based on the collected statistics on the “interests” attribute, one can compile a generalized portrait of an IT specialist and online marketer: this is a man aged about 30 years old, not married, or who defines his family status as “everything is complicated”. He speaks an average of two languages, works for an organization, or studies at a university. He has about 370 followers on VK. The result based on the data from the field 'activities' is very close to the data from the field 'interests', and gives a similar picture of the generalized portrait of a specialist. As part of the study, the authors have learned how to segment users into the users that identify themselves as ‘IT specialists or online marketers’, and ‘other’ users, using machine learning methods.
Wormhole Detection Mechanism in Wireless Sensor Networks
Authors:   Asst. Professor, Vardhaman College of Engg, Hyderabad, India., Swetha* Gandham , Reddy Y.Vijay Bhaskar ,   Assoc. Professor, Vardhaman College of Engg, Hyderabad, India., Reddy S.Sai Satya Narayana ,   Principal, Vardhaman College of Engg, Hyderabad, India.
Published: January 2020

A Wireless Sensor Network (WSN) is a component with sensor nodes that continuously observes environmental circumstances. Sensor nodes accomplish different key operations like sensing temperature and distance. It has been used in many applications like computing, signal processing, and network selfconfiguration to expand network coverage and build up its scalability. The Unit of all these sensors that exhibit sensing and transmitting information will offer more information than those offered by autonomously operating sensors. Usually, the transmitting task is somewhat critical as there is a huge amount of data and sensors devices are restricted. Being the limited number of sensor devices the network is exposed to different types of attacks. The Traditional security mechanisms are not suitable for WSN as they are generally heavy and having limited number of nodes and also these mechanisms will not eliminate the risk of other attacks. WSN are most useful in different crucial domains such as health care, environment, industry, and security, military. For example, in a military operation, a wireless sensor network monitors various activities. If an event is detected, these sensor nodes sense that and report the data to the primary (base) station (called sink) by making communication with other nodes. To collect data from WSN base Stations are commonly used. Base stations have more resources (e.g. computation power and energy) compared to normal sensor nodes which include more or less such limitations. Aggregation points will gather the data from neighboring sensor nodes to combine the data and forward to master (base) stations, where the data will be further forwarded or processed to a processing center. In this manner, the energy can be preserved in WSN and the lifetime of network is expanded.
Improved Proportional Fair Algorithm for Transportation of 5G Signals in Internet of Medical Things
Authors:   Research Scholar, Department of ECE, Noorul Islam Centre for Higher EducationKanyakumari, Tamilnadu, India,, Mathews* Asish,B , Devadhas Dr. Glan ,   Professor, Dept of EIE, VimalJyoti Engineering College, Kannur, Kerala
Published: January 2020

The Internet of medical things (IoMT) is a hybrid network inwhich numerous technologies like Bluetooth, Wi-Fi, and Cellular technology are integrated on a single platform. The internet of things applied to the medical healthcare necessitates enormous data rate and tremendous bandwidth along with better battery life with reliable and versatile connectivity. The use of 5G network satisfies these prerequisite with its tremendous data rate capabilities and assists human health services diagnosis and treatment. In this paper, improved proportional fair algorithm is introduced and is compared with existing scheduling algorithm for developing revolutionary changes in the medical healthcare.5G networks represent a contemporary approach which encounter a hybrid digital network for developing Internet of things. Performance metrics considered for simulation studies are throughput, path-loss and SNR.
Exploring Interest Factor in Mathematics Teaching Learning in Engineering Education
Authors:   Associate Professor, Engineering Mathematics, Galgotia College of Engineering and Technology, Greater Noida, India., Tyagi* Dr Indu , Dutta Dr Amit ,   Deputy Director, AICTE New Delhi, India., Kulkarni Dr Vinay ,   Associate Professor, Mechanical Engineering, D Y Patil College of Engineering, Akurdi, Pune, India
Published: January 2020

Mathematics Education is considered to be non–avoidable and away from real life situation for practicing Outcome Based Education (OBE). Mere completion of steps either by mugging up or just following up like standard, had left mathematics education to least interesting. Due to this students drop outs are high and failing to the effectiveness of inclusion of mathematics in engineering education. In this paper, an attempt is made to explore and create SOP (Standard Operating Procedure), the interest factor, necessary to drive the cause of inclusion of mathematics in professional education. This research work is useful to reflect in professional competency in their respective domain.
Generator Performance in Steam Power Plant
Authors:   Department of Electrical Engineering, Universitas Muhammadiyah Yogyakarta, Yogyakarta, Indonesia., Syahputra* Ramadoni , Nugroho Andi Wahyu ,   Department of Electrical Engineering, Universitas Muhammadiyah Yogyakarta, Yogyakarta, Indonesia., Purwanto Kunnu ,   Department of Electrical Engineering, Universitas Muhammadiyah Yogyakarta, Yogyakarta, Indonesia.
Published: January 2020

This paper presents generator performance in a steam power plant. Location of this research is steam power plant, PT Paiton Unit 7, on Jalan Surabaya - Situbondo km 141, Binor, Paiton, Probolinggo, East Java, Indonesia. In the steam power plant, PT Paiton Unit 7 is used synchronous generators. The generator is said to be synchronous if it meets the requirements, among others, the phase sequence must be the same, the voltage must be the same, the frequency must be the same, and the phase angle must be the same.The performance of the generator can be known by looking at changes in active power, changes in output voltage, changes in output current, changes in reactive power in MVAR, changes in apparent power in MVA, changes in power factor, changes in frequency, changes in efficiency and percentage of the supply voltage.
Rough Set Based Affinity Propagation Model for Prediction of Future Gold Price in Indian Scenario
Authors:   Assoc. Professor of CSE, Koneru Lakshmaiah Education Foundation (Deemed to be University), AP, India., Nayak* Dr. Rudra Kalyan , Teja N. Satya ,   Student of 4th Year B.Tech (CSE), Koneru Lakshmaiah Education Foundation (Deemed to be University), AP, India, Tripathy Dr. Ramamani ,   Asst. Professor of MCA, United School of Business Manageent, Odisha, India., Venkatesh G. ,   Student of 4th Year B.Tech (CSE), Koneru Lakshmaiah Education Foundation (Deemed to be University), AP, India, Ram I. Sai ,   Student of 4th Year B.Tech (CSE), Koneru Lakshmaiah Education Foundation (Deemed to be University), AP, India.
Published: January 2020

In international market, trading of metals has played a vital role. Metal cost might affect the nation’s economy. There are so many base metals available which have been utilized in world trading for construction and manufacturing of goods. Among them gold, silver, platinum, palladium have been treated as precious metals which has economic values. Therefore today’s researchers have concentrated their investigation on metal prediction using diversified algorithms like Auto Regressive Integrated Moving Average (ARIMA), KNN (K-Nearest Neighbor),Artificial Neural Network (ANN) and Support Vector Machine (SVM) etc. In this paper our foremost objective is to predict gold price, so we put our research on this metal. In this work we have employed rough set based affinity propagation algorithm for predicting future gold price and we compared our proposed model with rough set and ARIMA model basing upon the performance measures such as root mean square error (RMSE) and mean absolute percentage error (MAPE). The experimental result shows that the proposed model outperforms rough set and ARIMA model.
Design and Simulation of Enhanced Adaptive Perturbation and Observe MPPT Algorithm for PV Fed DC to DC Boost Converter System
Authors:   Department of EEE, Rajalakshmi Engineering College, Chennai, Tamilnadu, India., Premkumar* K. , Sudha K. ,   Department of EEE, Rajalakshmi Engineering College, Chennai, Tamilnadu, India., Sowmiya A. ,   Department of EEE, Rajalakshmi Institute of Technology, Chennai, Tamilnadu, India.
Published: January 2020

In this paper enhanced adaptive Perturb and Observe maximum power point tracking algorithm is presented for solar PV fed DC-DC to boost converter system. This proposed MPPT algorithm overcome the problem in conventional perturb and observe MPPT technique. The proposed system is modelled in MATLAB Simulink software package. System analyzed with various operating conditions and corresponding results are analyzed. The simulation results were compared with experimental results.
The Selection of Infrastructure Aspect for Performance Assessment in Indonesian PDAM
Authors:   Doctorate Student in Civil Engineering Department, Diponegoro University, Semarang, Indonesia, Ranti* Dini Intani Angga , Suripin  ,   Civil Engineering Department, Diponegoro University, Semarang, Indonesia., Suharyanto  ,   Civil Engineering Department, Diponegoro University, Semarang, Indonesia.
Published: January 2020

Performance assessments of Indonesian PDAM (the Indonesian acronym for Regional Drinking Water Companies) are crucial in ensuring optimum supply systems of drinking water in the communities. Since 2010, the Indonesian Government has based the performance assessment on the procedures set by BPPSPAM (the Indonesian acronym for Supporting Agency for Development of Drinking Water Supply System) under the Ministry of Public Works and Housing. The overall assessment has consisted of 25% of the financial, 25% of the service, 35% of the operational, and 15% of the human resource aspects. In their assessment of drinking water companies’ performances, other countries have already employed the physical/infrastructure aspect in addition to these four. This research, therefore, aims at finding influential sub-aspects under the infrastructure aspect that contribute best in assessing PDAMs’ performances. Influential aspect measured with Partial Least Squares algorithm. Partial Least Squares is chosen because they are using quick, efficient and optimal regression method based on covariance. Parameter that used in assessment can be correlated using regression when the number of explanatory variables is high. From the correlation we could get the influential aspect positively influent by what sub aspect. The Partial Least Squares Structural Equation Modelling (PLS-SEM) algorithm is applied on 35 PDAMs in the regencies/municipalities in Central Java Province has separated 3 of 10 infrastructure sub-aspects to be the most influential, namely: network density, raw water resource, and pumping system. The result show that assessment of drinking water company positively influenced by network density (=0.378, p<0.05), raw water resources (=0.899, p<0.05), and also pumping system (=0.631, p<0.05).
Follicle Detection in Ultrasound Images using Adaptive Clustering Algorithms and Empirical Mode Decomposition
Authors:   Assistant Professor, School of CSE, Vellore Institute of Technology (VIT), VIT-AP, Amaravathi., Harikiran* Dr.J. , Rao Dr.B.Srinivasa ,   Associate Professor, School of CSE, Vellore Institute of Technology, VIT-AP, Amaravathi., Vamsidhar Dr.E. ,   Associate Professor, Department of CSE, KLEF, KL University, Vijayawada., Saichandana Dr.B. ,   Associate Professor, Department of CSE, KLEF, KL University, Vijayawada,
Published: January 2020

Ultrasound Imaging is one of the techniques used to study inside human body with images generated using high frequency sounds waves. The applications of ultrasound images include examination of human body parts such as Kidney, Liver, Heart and Ovaries. This paper mainly concentrates on ultrasound images of ovaries.Monitoring of follicle is important in human reproduction. This paper presents a method for follicle detection in ultrasound image of ovaries using Adaptive data clustering algorithms. The main requirements for any clustering algorithm are to initialize the value of K, i.e. the number of clusters. Estimating this K value is difficult task for given data. This paper presents adaptive data clustering algorithm which generates accurate segmentation results with simple operation and avoids the interactive input K (number of clusters) value for segmentation. The results represent adaptive data clustering algorithms are better than normal algorithms for clustering in ultrasound image segmentation. After segmentation, using the region properties of the image, the follicles in the ovary image are identified. The proposed algorithm is tested on sample ultrasound images of ovaries for identification of follicles and with the region properties, the ovaries are classified into categories, normal, cystic and polycystic ovary with its geometric properties.
Algorithm for Protein Sequence Alignment using Hadoop
Authors:   Assistant Professor, Sandip Institute of Technology and Research Centre, Nashik,India., Khaire* Sneha Arjun
Published: January 2020

To develop an efficient system for matching the biological protein sequences and generating the scoring matrix using a distributed scan approach by applying Smith-Waterman(SW) algorithm. The algorithm generates fatest solution and the proposed system is comparing sequences with System, OpenMP and Hadoop. The comparison of the system leads in generating an efficient matrix of the protein sequence, beneficial for predicting the efficiency of the system.
Determination of Equivalent Circuit Parameters of a Solid Rotor Asynchronous Electric Machine
Authors:   Power Engineering Department, Rostov State Transport University (RSTU), Rostov-on-Don, Russia., Kolpakhchyan* Pavel Grigorievich , Parshukov Vladimir Ivanovich ,   Limited liability company scientific and production enterprise "Don technologies" (LLC NPP "Don technologies"), Novocherkassk, Russia., Yatsenko Elena Alfredovna ,   Power Engineering Department, Rostov State Transport University (RSTU), Rostov-on-Don, Russia, Kochin Alexander Evgenievich ,   Power Engineering Department, Rostov State Transport University (RSTU), Rostov-on-Don, Russia., Podbereznaya Margarita Sergeevna ,   Power Engineering Department, Rostov State Transport University (RSTU), Rostov-on-Don, Russia.
Published: January 2020

The article deal with the determining the equivalent circuit parameters of a solid rotor asynchronous electric machine. To solve the problem, we determined the structure and parameters of a mathematical model using known geometric relationships and parameters of used materials. The least square method is used to determine the equivalent circuit parameters of an unlaminated-rotor asynchronous electric machine. The magnetic field distribution is calculated when the stator winding is supplying with a sinusoidal current and under short-circuit conditions. The imaginary part of the stator phase inductance versus stator current frequency when the rotor is fixed is calculated using the field theory. This dependence is approximated. The system of algebraic equations determining the approximation parameters is non-linear. The Levenberg-Marquardt method provides solution convergence of the equation system when using two or more loops on the rotor. The selection of the initial approximation largely determines the convergence of the solution made by the iterative method. The preliminary studies showed that the use of simplified scheme of the substitution of an asynchronous electric machine with one contour on the rotor is suitable as an initial approximation of parameters. The numerical solution of the equations determined the approximation parameters. The equivalent circuit parameters of high-speed electric generator with solid asynchronous rotor was made as an example of using of the approach under consideration. We need to use three loops on the rotor in the mathematical model of the asynchronous electric machine to take into account the effect of current displacement in solid rotor.
TCP Incast in Data Center Networks: Issue and Existing Solutions
Authors:   Assistant Professor, Department Of Computer Science Indira College Of Commerce And Science, Pune, Maharashtra, India., Suryavanshi* Mahendra N. , Kumar Dr. Ajay H. ,   Director JSPM’s Jaywant Technical Campus Pune, Maharashtra, India
Published: January 2020

Data centers networks supports heterogeneous kind of applications like social networking, e-commerce, web search, video data hosting, computation-intensive and data-storage. It has high-bandwidth links, low propagation delay and commodity switches with small-size buffers. Under cluster-based storage environment, data center supports barrier-synchronized many-to-one communication pattern where multiple worker nodes simultaneously transmit bulk of data to single aggregator node by running standard TCP protocol. This synchronized transmission may overload aggregator’s switch buffer, which leads to severe packet loss and overall throughput fall. This is called as TCP Incast problem. This paper analyses issue of TCP Incast and provides detailed survey about several solutions at link, transport and application layer to mitigate impact of TCP Incast in data center network. Solutions are described with their procedural approach for alleviating Incast. Comparative evaluation between these solutions provides understanding about their merits, demerits and applicability under various implementation circumstances.
New Computer Controlled High Resolution Programmable Validation System for Research in Electronics Hardware
Authors:   Department of Instrumentation, V.E.S.Institute of Technology, Mumbai, India., Warke* Nilima , Nair J. M. ,   Department of Instrumentation, V.E.S.Institute of Technology, Mumbai, India., Vaidya P. P. ,   Department of Instrumentation, V.E.S.Institute of Technology, Mumbai, India.
Published: January 2020

Conventional methods for validation of electronics hardware research are susceptible to manual measurement errors, and give limited accuracy of 8 to 10 bits. These methods are also time consuming and do not ensure accuracy in validation of performance parameters. Hence, a new computer controlled high resolution programmable hardware research validation system has been proposed here for testing the electronics hardware systems. The test signals with high resolution (16 bit) and high accuracy are generated using multiplying digital to analog converter (MDAC) with high reference bandwidth. The output signals are measured with the same resolution and accuracy using 16 bit analog to digital converter (ADC). The output data is transferred to the PC through USB interface for further analysis using Teensy 3.6 card. The signals can be generated in bandwidth of 0-10MHz in step size which can be as small as 10μV and as large as 600mv which is user programmable. This proposed system has been designed, constructed and tested. The experimental results of this system have been reported here which ascertain the performance of the system. With this system, manual errors in measurement are avoided and testing time is significantly reduced. The reported system is low cost economic solution for validating the electronic research work in academic institutes.
Structural Simulation and Optimization of Diesel Engine Piston Material using ANSYS
Authors:   Department of Mechanical Engineering, Cambridge Institute of Technology-North Campus, Bengaluru 562110, India., M* Rakshith , K Sunil ,   R&D Department, Futuretech Engineering Pvt Ltd, Bengaluru 560079, India., Hatti Prashant S. ,   Department of Mechanical Engineering, CMR Institute of Technology, Bengaluru 560037, India.
Published: January 2020

During the combustion of fuel in diesel engine, high temperature and pressure will be created as engine runs at high speed and loads. This results in development of high thermal and structural stresses in the piston and if these stresses exceed the design value, failure of piston may take place. To avoid these failures, intensity of stresses should be avoided. In this work an attempt is made to reduce the intensity of stresses by replacing conventional aluminum alloy material of piston with aluminum silicon carbide composite by commercial analysis software package ANSYS.
Effect of Steel Fiber Aspect Ratio on the Properties of High Strength Self Compacting Concrete
Authors:   Department of Civil Engineering, VNR Vignana Jyothi Institute of Engineering and Technology, Hyderabad, India., Kiran* G.Sai , Siempu Dr.Rakesh ,   Assistant professor, Department of Civil Engineering, VNR Vignana Jyothi Institute of Engineering and Technology, Hyderabad, India., Kumar G A V S Sandeep ,   Assistant Professor in the Department of Civil Engineering at VNRVJIET, Hyderabad, India.
Published: January 2020

The High strength concrete defined as per IS 456 as the concrete having characteristic compressive strength more than 65 MPa. The self-compacting concrete has lot of advantages including concreting at congested reinforcement locations, better finish, good compaction etc. The inclusion of fibers in the concrete mix decreases the brittle nature of concrete thereby the ductility increases. Different types of fibers are available for inclusion in concrete like steel, glass, polypropylene, basalt, etc. In the present investigation, high strength concrete having characteristic strength of 90 MPa was developed and hooked ended steel fibers are used and the hardened properties are determined. Steel fibers having diameter of 1 mm and lengths of 25 and 50 mm were added to concrete in 0.125%, 0.25% and 0.5% by volume of concrete. Three hardened properties compressive strength, split tensile Strength and flexural strength were determined. Out of the two lengths of fiber i.e with two aspect ratios, the fiber with 50 mm length yielded better results.
Development of Specialized Method for Increasing the Level of Security on Information and Communication Systems
Authors:   Information Security Department, Tashkent University of Information Technologies of Nukus branch named after Muhammad al-Khwarizmi, Nukus, Uzbekistan, Gaukhar* Saparova , Sherzod Gulomov ,   Providing Information Security Department, Tashkent University of Information Technologies named after Muhammad al-Khwarizmi, Tashkent, Uzbekistan
Published: January 2020

Abstract: This article proposes a method for increasing the level of security of a corporate network by its structure that meets the specified security requirements and distinguishes them from well-known attack type invariant structural units of the network - security domains. Hierarchy of security levels in the form of rings is represented allow more effectively protect a network that requires more security. The method allows to get output data only when the initial data allows to do this. In other words, if it is possible to improve the security level of a given network structure, then the method does this. A graph of the dependence of the security level on the ratio of the number of domains to the maximum number of objects in the domains is developed. A weighted domain allocation algorithm, which will increase the overall security on information and communication systems is proposed. For increasing the overall level of security, the splitting of the network into a larger number of security domains with as few services as possible is given. In accordance the weight of properties with modern data from the theory of information security vulnerability of a particular service is selected.
Impact of Reinforcing Bar Characteristics on Flexural Strength of Beams
Authors:   M-Tech, Department Of Civil Engineering Rimt University, Punjab India., Yousuf* Saqib , Yadav Vishal ,   Assistant Professor Department Of Civil Engineering Rimt University, Punjab India., Singla Dr Sandeep ,   Professor & Head, Department Of Civil Engineering, Rimt University, India.
Published: January 2020

Reinforced concrete (RC) frame members under seismic loading are likely to experience large inelastic deformation, therefore, sufficient ductility Brittle mode enhancements must be avoided to enhance the potential for energy dissipation. These components are satisfied and satisfied after the earthquake. The event depends to a large extent on the nature of the materials used in its manufacture. That is, steel and concrete. This research is concerned with Strengthen steel in bending behavior until failure. When the capacity design for the reinforced concrete buildings or structures is sufficient real capacity does not exceed the actual design capabilities. In addition, RC member is a large inflexible deformation is expected to produce sufficient seismic dissipation. Because of the ability to bend. The post-productivity performance of RC members is mainly controlled by steel rods, which have some special characteristics. Performance requirements strength of yield, strength of tension and elasticity the steel manufacturing method. Thirty years of bending test Reinforced concrete beam was observed using carefully controlled steel bars. The reliable bending behavior and YS and UTS values must be within a narrow range around the value used design Members. If these values are greater than the specified value, they may cause a crisp cut failure instead of more bending and perfect bending failure modes.
Distributed Intra and Inter Cluster Chaining Framework for Energy-Efficient, Delay Bounded and Scalable Data Gathering Applications in Large Scale Sensor Network
Authors:   Department of CSE, NIT, Silchar, India., Dey* Biswanath , Nath Navajyoti ,   Department of CSE, NIT, Silchar, India., Bandyopadhyay Sivaji ,   Department of CSE, NIT, Silchar, India., Nandi Sukumar ,   Department of CSE, IIT, Guwahati, India.
Published: January 2020

This paper proposes a scalable, energy-efficient and scalable, energy efficient, delay bounded intra and inter cluster routing framework viz. GIICCF (Generalized Intra and Inter cluster chaining framework) for efficient data gathering in large scale wireless sensor networks. This approach extricates the benefits of both pure chain-based as well as pure cluster-based data gathering schemes in large scale Wireless Sensor Network (WSNs) without undermining with the drawbacks. GIICCF defines a localized energy-efficient chaining scheme among the member nodes within the cluster with bounded data delivery delay to the respective cluster-heads (CH) as well as enables the CH to deliver data to the Base station (BS) following an energy-efficient multi-hop fashion. Detailed experimental analysis and simulation results reveal GIICCF increases the performance of any pure cluster-based and chain-based protocols by a huge margin.
An Optimal Network Selection and Efficient Two Level Cluster-Based Routing Mechanisms for Seamless Vertical Handover in Vehicular Networks
Authors:   Research Scholar, PG and Research Scholar, Department of Computer Science, Periyar University, Salem, Tamilnadu.India, Sophy* S.Angelin , Aroquiaraj Dr.I. Laurence ,   Assistant Professor, PG and Research Scholar, Department of Computer Science, Periyar University, Salem, Tamilnadu. India.
Published: January 2020

Mobile Ad Hoc Network includes the crucial type Vehicular Ad-hoc Networks, (VANET). In this developed work, nodes are considered from vehicles and transmission capabilities are outfitted with its interconnected vehicles forming a network. Roadside equipment is fixed as all vehicles nearby are equipped with fixed equipment thus enabled communications in real-life application of VANET. In existing methodologies, designs of mobility are required by VANET specifically from Vertical Hand Over decision approach. This fails as of failure in links in networks on focusing issues. Thus, in dissemination of networks, routing is mandatory. Hence, our designed work of Effective two-layer cluster based Routing Mechanism is implemented in VANET to diminish the problems of failures in link. So, hybrid model is incorporated with Biogeography-Based Optimization (BBO) for choosing best available network done and process of vertical handover are done by ant colony optimization. Specific node for vertical handover is chosen based on the weight value from the hybrid model and deploys the SVM classification. On unsteady shape of topology, Effective Two-Level Cluster-based Routing Mechanism is used for maintenance of route. Initially, two clusters are formed with both links as strong and weak from divided nodes to perform routing among cluster members and the best route is chosen by greedy algorithm. High packet delivery ratio and low end to end delay is attained in this proposed approach from the analyzed results against existing methods.
An Improved Version of Closed Spam by using Direct Bit Position Method
Authors:   Assistant of Department of Computer Application, Alagappa University, Karaikudi, India., Elakkiya* Dr. E. , Ravichandran Dr. S. ,   Assistant Professor, Head of the Department, of Computer Science, The H.H. Rajah’s College (Autonomous), Pudukkottai, India., Suresh Mr. S. ,   Assistant Professor, Department of Computer Science, Sri Krishna Arts and Science, Coimbatore, India.
Published: January 2020

This research paper is a new approach to Closed SPAM by Using Binary DBP Closed SPAM. The idea behind this algorithm is extending the previous DBP using SPAM. The feature DBP Closed SPAM is to retrieve large sequence database from closed Sequential Patterns The test evaluation is done on Real Datasets, experimented results shows that the algorithm DBP Closed SPAM is more efficient than the previous Closed SPAM algorithms. This is also a way to retrieve the closed frequent patterns in a sequence database by giving minimum support value.
Effect of unit cell shape and strut size on flexural properties of ordered
Copper foam
Authors: Pandey Pulak M , Singh Gurminder
Published: January 2020

The effect of unit cell shape and strut size variation was studied on the flexural properties of the ordered copper foam in the present study. The developed rapid manufacturing method using 3D printing and ultrasonic vibrationassisted pressureless sintering was employed to fabricate samples. Two different shapes such as simple cubic (SC) and body-centred cubic (BCC) were used as the unit cells for the samples with three different strut sizes 1, 1.3 and 1.6 mm. Three-point bend test was performed to obtain the flexural properties such as flexural modulus and ultimate flexural strength. Different shapes of failure curves were noticed during the test, which was owing to the different
unit cell shapes. The fracture was obtained to be brittle in nature due to the micro-pores of the struts. The fractured surfaces of the two different unit cells were also studied. The samples with the simple cubic unit cell shapes possessed better flexural properties as compared to the body-centred cubic unit cell samples.