bluuebunny/crossref_metadata_2025 huggingface dataset:
Decoupling Capacitance Enabled Water Pumping System using Photovoltaic System
Authors:   B.Tech, Department of Electrical and Electronics Engineering, Koneru Lakshmaiah Education Foundation, Vaddeswaram, AP, India.., Reddy* Kolli Srisai Sudhakar , Krishna P.Adithya Sesha Sai ,   B.Tech, Department of Electrical and Electronics Engineering, Koneru Lakshmaiah Education Foundation, Vaddeswaram, AP, India., Moulali Sk. ,   Department of Electrical and Electronics Engineering, Koneru Lakshmaiah Education Foundation, Vaddeswaram, AP, India., Chaitanya M.Naga ,   Department of Electrical and Electronics Engineering, Koneru Lakshmaiah Education Foundation, Vaddeswaram, AP, India.
Published: December 2019

A two-stage PV water-pumping system architecture is represented in this paper. In contrast with other alternatives available in the literature, the electronic drive does not exploit batteries to accomplish energy decoupling, neither large electrolytic capacitors in between stages. Although these two design decisions respectively minimize environmental impacts and increase the converter’s expected lifetime, they also bring about considerable control difficulties. More specifically, the DC link stiffness is reduced and thus large voltage oscillations may occur. In order to overcome this problem, a nonlinear controller interconnection between the individual compensator of each stage is created to account for the low capacitance. Simulations and experimental results demonstrate the effectiveness of the method in stabilizing the DC-link voltage under sudden solar irradiation changes. The final converter was deployed in a remote rural community in Guinea-Bissau for crop irrigation purposes. Despite the harsh conditions such as high temperatures and sea breeze, in situ results were satisfactory and validated the system robustness
Facial Emotion Recognition using Deep Learning
Authors:   Ph.D, Professor,CSE Department, KL University Guntur,Andhra Pradesh,India, Pradeepini* G. , Kouslaya Ch. ,   Computer Science and Engineering, KL University, Guntur, AndhraPradesh ,India., Sripoorna G. ,   Computer Science and Engineering, KL University, Guntur, AndhraPradesh ,India., Tejaswi Y.Keerthi ,   Computer Science and Engineering, KL University, Guntur, AndhraPradesh ,India.
Published: December 2019

Face Emotion Recognition (FER), the human face assumes a significant job in programmed acknowledgment of feelings in the field of recognizing human feelings and the cooperation among humans and PC for some genuine applications. The greater part of the revealed facial feeling acknowledgment frameworks aren't completely viewed as subject free unique highlights thus they are not hearty enough for reality. The feelings are successfully variable happenings that are evoked because of affecting power. In this way, all things considered, applications, recognition of feeling is an extremely testing assignment.
Relationship between Emotional Maturity and Altruistic Behaviour among High School Students
Authors:   Teaching Faculty Tihu College, Assam, India., Das* Ms. Juri , Padmavathy Dr. R.D. ,   Assistant Professor Department of Education, Tezpur Central University, India
Published: December 2019

Emotional maturity indicates the state of mind where an individual can balance his/ her emotions and know how to handle the hard situation without feeling panic. The objectives of the study is to find out the relationship between emotional maturity and altruistic behaviour in relation to high school student’s gender, place of residence and type of school management. In the present study, the researchers adopted normative survey method with simple random sampling to select a sample of 160 high school students aged 14 –16 years in Sonitpur district of Assam. The researcher collected and analyzed the data statistically by using mean, standard deviation, and t-test. The findings of this study indicate that emotional maturity and altruistic behaviour has positive (relationship and there is a significant mean difference in emotional maturity among male and female students, rural and urban, and government and private school students.
VAT History, Computation Method, and Control
Authors:   Doctor of Economic Sciences (Advanced Doctor), Professor of the Accounting, Analysis and Audit Department of the Financial University under the Government of the Russian Federation, Moscow, Russia,, Kevorkova* Z.A. , Esenova A.K. ,   Graduate Student of Department of the Accounting, Analysis and Audit, Financial University under the Government of the Russian Federation, Moscow, Russia
Published: December 2019

This paper deals with the history, essence, meaning, and regulation of the value-added tax as the major source of the state revenue.
Diffusion Entropy Analysis: Stability of Indian Stock Market
Authors:   School of Basic & Applied Sciences, K R Mangalam University, Gurugram, Haryana, India, Kumar* Sushil , kumar Sunil ,   Ramjas College, University of Delhi, Delhi-7, India, Kumar* Pawan ,   School of Basic & Applied Sciences, K R Mangalam University, Gurugram, Haryana, India
Published: December 2019

The large amount of available data of stock markets becomes very beneficial when it is transformed to valuable information. The analysis of this huge data is essential to extract out the useful information. In the present work, we employ the method of diffusion entropy to study time series of different indexes of Indian stock market. We analyze the stability of Nifty50 index of National Stock Exchange (NSE) India and SENSEX index of Bombay Stock Exchange (BSE), India in the vicinity of global financial crisis of 2008. We also apply the technique of diffusion entropy to analyze the stability of Dow Jones Industrial Average (DJIA) index of USA. We compare the results of Indian Stock market with the USA stock market (DJIA index). We conduct an empirical analysis of the stability of Nifty50, Sensex and DJIA indexes. We find significant drop in the value of diffusion entropy of Nifty50, Sensex and DJIA during the period of crisis. Both Indian and USA stock markets show bull market effects in the pre-crisis and post-crisis periods and bear market effect during the period of crisis. Our findings reveal that diffusion entropy technique can replicate the price fluctuations as well as critical events of the stock market.
Optimal Polyphase Coded Signal Design
Authors:   Department* of ECE, Sreyas Institute of Engineering and Technology, Hyderabad, India, Pandu Dr.J. , Krishna Dr.N.Murali ,   Department of ECE, Sreyas Institute of Engineering and Technology, Hyderabad, India,
Published: December 2019

In the war prone global arena where every target of an enemy, on and off the land to be kept on eagle’s eye watch and to deceive enemy’s counter measure technologies, there is a strong requirement for most secured signal design which domicile maximum detection range along with high range resolution, to flare them up .The efficiency of the system mainly depends on how much power the generated pulse may possess in the main lobe to that of the side lobes and how independent they are from one another. The measure of Autocorrelation and cross correlation exhibited by polyphase coded sequence is determined mathematically. Multi input and multi output possesses best potential in mitigating the effects of fading, enhancing the resolution, suppressing the signal jamming and interference, which are all very useful in improving the target detection and recognition performance of the system. Recently, most optimization researches of polyphase codes are carried out by genetic algorithm (GA), Particle swarm optimization (PSO) and simulated annealing (SA) but this technique require more parameters for optimization. In order to overcome these difficulties modified PSO algorithm is adopted in the present research to optimize the polyphase coded sequence. The obtained codes are also put for Doppler resilience by including Doppler shift in the process of generation of the codes.
Life style and Human Ailments at Kodaikanal Hills
Authors:   PhD scholar, VISTAS, Chennai-117, India., Shanmugapriya M. , Sugumar* Dr. S.N. ,   Prof and HOD, Department of Economics,\VISTAS, Chennai -117, India,
Published: December 2019

Everything in the Universe Exist, act and react as per a System. Each and everyone in the Universe has certain rules and regulations Pure Science, Social science, engineering, Medicine are not exemptions to this. Similarly, there is a system for living and non - living beings. People are healthy and happy as long as they align with the law of nature and the way of life. Deviation from the system means deviation from happiness. The field work reveals that those who deviate the system are suffering from multiple disease.
Computational Depiction of Transportation Phenomenon Control using Auxiliary Draught in Cold Storage
Authors:   Department of Mechanical Engineering, Maulana Azad National Institute of Technology, Bhopal, India., Mishra* Pankaj , Aharwal K. R. ,   Department of Mechanical Engineering, Maulana Azad National Institute of Technology, Bhopal, India.
Published: December 2019

Computational Flow Analysis Enables To Demonstrate Large Cold Storage Air Distribution. Thermal Performances Of The Cold Storage Are Based On Airflow Mechanism In A Closed Chamber. Experimental Investigation On Cold Store A Costly Affair Thus, In This Paper The Impact Of Auxiliary Draught System (Ads) On Airflow Distribution Is Carried Out With The Help Of Computational Fluid Dyanamics (Cfd). Experimental Validation Shows A 26% Of Error In Simulation Results. Cfd Results Reflect That Use Of Ads Reduces Cooling Time By 25%. Auxiliary Draught Ensures A Homogeneous Environment Inside The Plant.
Deep Features based Multilingual Text Detection and Recognition in Video Frames
Authors:   Department of Computer Science and Engineering, MIT Mysore, India, C* Sunil , Raghunandan K S ,   Dept. of Studies in Computer Science, University of Mysore, Mysore, India., Chethan H K ,   Department of Computer Science and Engineering, MIT Mysore, India., Kumar G Hemantha ,   Dept. of Studies in Computer Science, University of Mysore, Mysore, India.
Published: December 2019

One of the major causes for achieving poor text detection results in video frames are complex background, illumination and de-blurring of the frames and it is also important challenges for the researchers to overcome such problems. Therefore, motivated from this kind of observation from recent survey, we propose a text detection method based on Deep Neural Networks known as TextBoxes which is capable of detecting text in video frames with improved performance when compared to state-of-the-art techniques. In parallel this we also propose a Text candidate detection for video frames and scene images by extracting words based on Automatic Window Detection by making use of Discrete Wavelet Transform (DWT) with the sliding window for extracting high frequency sub bands for each sliding window. K-means clustering technique has been used to obtain the text components and to decrease the background complexity and noise. Six-layer convolutional neural network model has been designed to recognize the text in multilingual images. Experiments for text detection are done on our own multilingual South Indian database, ICDAR-2015 Videos, YVT videos, SVT, and MSRA Scene datasets and demonstrated in terms of Recall, Precision and F-measure and for recognition ICDAR-2015 Videos, ICDAR 2011 and SVT scene images.
Diffusion-Thermo Effect on a Free Combined MHD Flowwith Mass Diffusion and Temperature Variationpast an Inclined Oscillating Plate
Authors:   Assistant Professor in the Department of Mathematics, Kakatiya Institute of Technology and Sciences, Warangal, Kumar* E Ranjith , Goud B.Shankar ,   Assistant Professor, Department of Mathematics,JNTUH College of Engineering, Kukatpally , Hyderabad, Telangana, India., Babu B. Suresh ,   Asst. Prof. of Mathematics, Sreyas Institute of Engineering & Technology, Hyderabad-068, TS, India., Srinivas G. ,   Prof. of Mathematics, Guru Nanak Institute of Technology, Hyderabad -501506,TS, India.
Published: December 2019

The present work emphases on the diffusion-thermo (Dufour) effect that has been considered for the numerical study. Unsteady MHD flow over a semi-infinite impulsively started inclined oscillating plate is considered for the study withmass diffusion and temperature variation under the influence oftransverselyapplied magnetic field. The governing equations are transformed to discrete counterparts by FEM(Finite Element Method) and Crank-Nicolson method was utilized to solve using C-program. The numerical outcomes for the temperature, velocity, and concentration were graphicalyl represented for distinct values of parameters.
Wind Resources Potential as a Wind Power Plant in Kulon Progo, Indonesia
Authors:   Department of Electrical Engineering, Universitas Muhammadiyah Yogyakarta, Yogyakarta, Indonesia., Syahputra* Ramadoni , Nugraha Cahya Adijana ,   Department of Electrical Engineering, Universitas Muhammadiyah Yogyakarta, Yogyakarta, Indonesia., Jamal Agus ,   Department of Electrical Engineering, Universitas Muhammadiyah Yogyakarta, Yogyakarta, Indonesia., Sudarisman  ,   Department of Mechanical Engineering, Universitas Muhammadiyah Yogyakarta, Yogyakarta, Indonesia.
Published: December 2019

This paper proposes the wind resources potential as a wind power plant in Kulon Progo, Indonesia. The location of this research is Congot Beach, Jangkaran Village, Temon District, Kulon Progo Regency, Yogyakarta Special Region Province, Indonesia. By considering that weather in the area is very conducive to the speed and strength of the wind, and the area is still full and extensive so that it is free to make a building for electric power plants using a windmill. The optimal configuration resulting from the Homer software analysis shows that this wind power plant is able to supply electricity needs without buying electricity from the grid. So that the wind turbine in Congot Beach has the potential to be built as a power plant, it's just that the construction costs are quite high and require a slightly longer return on investment, which is around 18.5 years..
Reliability Index of Wind-Solar Hybrid Power Plants using the Expected Energy Not Supplied Method
Authors:   Department of Electrical Engineering, Universitas Muhammadiyah Yogyakarta, Yogyakarta, Indonesia., Syahputra* Ramadoni , Noor Fahrian ,   Department of Electrical Engineering, Universitas Muhammadiyah Yogyakarta, Yogyakarta, Indonesia., Mujaahid Faaris ,   Department of Electrical Engineering, Universitas Muhammadiyah Yogyakarta, Yogyakarta, Indonesia., Jamal Agus ,   Department of Electrical Engineering, Universitas Muhammadiyah Yogyakarta, Yogyakarta, Indonesia., Sudarisman  ,   Department of Mechanical Engineering, Universitas Muhammadiyah Yogyakarta, Yogyakarta, Indonesia.
Published: December 2019

This paper proposes the reliability index of wind-solar hybrid power plants using the expected energy not supplied method. The location of this research is wind-solar hybrid power plants Pantai Baru, Bantul, Special Region of Yogyakarta, Indonesia. The method to determine the reliability of the power plant is the expected energy not supplied (EENS) method. This analysis used hybrid plant operational data in 2018. The results of the analysis have been done on the Pantai Baru hybrid power plant about reliability for electric power systems with EENS. The results of this study can be concluded that based on the load duration curve, loads have a load more than the operating kW of the system that is 99 kW. In contrast, the total power contained in the Pantai Baru hybrid power plant is 90 kW. This fact makes the system forced to release the load. The reliability index of the power system in the initial conditions, it produces an EENS value in 2018, resulting in a total value of 2,512% or 449 kW. The EENS value still does not meet the standards set by the National Electricity Market (NEM), which is <0.002% per year. Based on this data, it can be said that the reliability of the New Coast hybrid power generation system in 2018 is in the unreliable category.
Some Issues of Ensuring of Procedural Guarantees of Participants of the Criminal Process of the Republic of Uzbekistan
Authors:   Department of Criminal procedure and Criminalistics of Tashkent State University, Ural qizi* Mamatkulova Khosiyat
Published: December 2019

The issues of ensuring the rights and guarantees of such participants in the criminal process as the suspect and the accused are relevant for research at all times. Guarantees are the means in accordance with which the execution of the purpose of criminal proceedings is ensured. In order to further expand the guarantees of such participants as the suspect and the accused, the article analyzes the concept and significance of the procedural guarantees of the participants in the criminal process, in particular the suspect and the accused; their legal status; analysis of the rights and guarantees of the data of participants in the criminal process. The article applies the methodology of comparative legal analysis. In particular, the norms of national legislation are analyzed, as well as the norms of foreign countries on these issues (Russia, Kazakhstan and Germany). Based on the results of the analysis, proposals were developed to improve the guarantees of the rights and freedoms of suspected and accused persons in the criminal proceedings of the country. These proposals can be used to make amendments and additions to the criminal procedure legislation of the country.
Replication of Quantum Computing towards an Unconventional Environment using QuIDE
Authors:   Department of Information Technology, AMET University, Chennai, India., Subramanian* E. , Sanoj C. S. ,   Department of Computer Science and Engineering, Sri Venkateswara College of Engineering, Sriperumbudur, India.
Published: December 2019

Current quantum computer simulation strategies are inefficient in simulation and their realizations are also failed to minimize those impacts of the exponential complexity for simulated quantum computations. We proposed a Quantum computer simulator model in this paper which is a coordinated Development Environment – QuIDE (Quantum Integrated Development Environment) to support the improvement of algorithm for future quantum computers. The development environment provides the circuit diagram of graphical building and flexibility of source code. Analyze the complexity of algorithms shows the performance results of the simulator and used for simulation as well as result of its deployment during simulation.
Predicting Faculty Performance in Higher Education using Machine Learning
Authors:   Computer Science and Engineering, Kalasalingam Academy of Research and Education, KrishnanKoil, India., Kumar* T. Manjunath , Murugeswari Dr.R. ,   Computer Science and Engineering, Kalasalingam Academy of Research and Education, KrishnanKoil, India.
Published: December 2019

Higher education is witnessing significant change in transferring of knowledge and experience from the faculty to the student community on a large scale. Domains requiring a high degree of skill development such as engineering technology education need a place in the university of deeper faculty communication and information percolation process. Despite various measurement and accounting system are prevailing in the current educational system. Known advanced methods for automated evaluation of faculty performance has emanated successfully yet. Here we propose a Machine Learning technique which can interact both with faculty and students to collect feature-oriented parameters of the academic processes prevailing in engineering domain to qualitative and quantitatively access the faculty performance in the modern ways. By using various machine learning methods such as Support Vector Machine, Logistic Regression, Naïve Bayes, Random Forest and Deep learning are used to build the models. The proposed model could identify the faculty’s performance who are likely to improve the course teaching for the students to enhance the teaching – learning process. Model accuracy is used to evaluate the performance of the faculty in the course. To identify the Machine learning algorithm performance F1-Measure and Area under Curve (AUC) value are compared. Evaluation result indicates that Random Forest algorithm is best suitable algorithm for faculty performance prediction for course evaluation through feedback questionaries’ given by the students. It has a 73.1% higher accuracy, 78.7% F1- measure and 0.73 value of AUC when compared to other models. This model is used for decision making support in the higher educational university.
Performance Analysis of Reduced Handoff Interruption Time and Energy Utilization in Cognitive Radio Networks by Unmanned Area Vehicle
Authors:   Assistant Professor & Research center lab in Electronics and Communication Engineering of Francis Xavier Engineering College, Tirunelveli India., Chinnathampy* Mr.M.Suresh , Aruna Dr.T. ,   Assistant professor in Thiagarajar college of Engineering, Madurai India., Feroz C.Amarsingh ,   Associate Professor in Electronics and Communication Engineering Department in Francis Xavier Engineering College, Tirunelveli, Tamilnadu, India., Rajavel Mr S.Esakki ,   Assistant professor of ECE in Francis Xavier Engineering College. He completed his B.E/ECE in SCAD College, Devaraj S.Allwin ,   Assistant Professor & Research Centre lab in Francis Xavier Engineering College, Tirunelveli.
Published: December 2019

The WiMAX (Worldwide Interoperability Microwave Access) is important in communication systems. Mobility is also important in WiMax to achieve high speed in data exchange over the medium. During the exchange of data handoff may be occurred.This paper is focused on handoff in WiMAX and MS (Mobile Station). The Handover Management Algorithm is used to avoid handoff in addition to improve the handover interruption time and to decrease the signaling transaction during the handover procedure we used Global Position System (GPS) to perform handoff faster. GPS has been introduced in this paper to find the position of the MS and BS then the MS will automatically choose BS by routing. We developed a new algorithm to improve the handoff interruption by introducing Time Division Multiple Access (TDMA).The MS finds its position using GPS and find the distance to the SBS (Source Base Station) and nearby BSs. In the next step,MS selects the target BS based on distance. Moreover we combine Handover Management Algorithm (HMA) with Cognitive radio networks (CRNs) for which are the way out for the trouble of underutilizing the license spectrum for which there are more needs in the final pair of decades. The congestion of the wireless spectrum has triggered a stringent contest for panic network resources.
Numerical Simulation of Leakage Current on Conductive Insulator Surface
Authors:   Fakulti Kejuruteraan Elektrik, Universiti Teknikal Malaysia Melaka, Durian Tunggal, Melaka, Malaysia., Rahim* Noor Afiqah Abdul , Ranom* Rahifa ,   Centre for Robotics and Industrial Automation, Fakulti Kejuruteraan Elektrik, Universiti Teknikal Malaysia Melaka, Durian Tunggal, Melaka, Malaysia., Zainuddin Hidayat ,   Centre for Robotics and Industrial Automation, Fakulti Kejuruteraan Elektrik, Universiti Teknikal Malaysia Melaka, Durian Tunggal, Melaka, Malaysia., Razak Intan Azmira Wan Abdul ,   Centre for Robotics and Industrial Automation, Fakulti Kejuruteraan Elektrik, Universiti Teknikal Malaysia Melaka, Durian Tunggal, Melaka, Malaysia.
Published: December 2019

The outdoor insulator is commonly exposed to environmental pollution. The presence of water like raindrops and dew on the contaminant surface can lead to surface degradation due to leakage current. However, the physical process of this phenomenon is not well understood. Hence, in this study we develop a mathematical model of leakage current on the outdoor insulator surface using the Nernst Planck theory which accounts for the charge transport between the electrodes (negative and positive electrode) and charge generation mechanism. Meanwhile the electric field obeys Poisson’s equation. Method of Lines technique is used to solve the model numerically in which it converts the PDE into a system of ODEs by Finite Difference Approximations. The numerical simulation compares reasonably well with the experimental conduction current. The findings from the simulation shows that the conduction current is affected by the electric field distribution and charge concentration. The rise of the conduction current is due to the distribution of positive ion while the dominancy of electron attachment with neutral molecule and recombination with positive ions has caused a significant reduction of electron and increment of negative ions.
5thgeneration Wireless Network using Distributed Power Control, Novel and round Robin Scheduling Algorithms
Authors:   Department of Electronics and Communication Sreenidhi Institute of Science and Technology Hyderabad, Telangana, India, Supriya* P. , Rao Dr.S.P.V. Subba ,   Departmentof Electronics and Communication Sreenidhi Institute of Science and Technology Hyderabad, Telangana, India
Published: December 2019

The demand for higher networking quality i.e., 5G technology and improved wireless connectivity is increasing rapidly in emerging Cyber-Physical Systems (CPS). In this paper, we looked at the question of reducing total power transmission with power control and resource allocation in 5 G networks where there is mutual interference between cells using the distributed resource allocation algorithm, Packet Scheduling and compared with Round Robin Scheduling algorithm. Power control was indeed an efficient way to enhance wireless system ability. It was assumed that energy levels can be allocated from a constant spectrum in prior job on energy control. But energy levels are allocated from a discrete set in practice. In this work, we consider minimizing the complete transmitted energy over specified discrete sets of available energy levels subject to maintaining an acceptable quality of signal for each mobile. Our algorithm has reduced computational complexity compared to the current optimization algorithm, where each resource is assigned to a maximum of one user over a period of time. Numerical results verify our proposed algorithm's efficiency and convergence.
Perceived E-Service Quality (Pesq) and Its Effect on Consumer Satisfaction and Web Site Loyalty on Customers
Authors:   Department of management studies , P A College of Engineering, Mangalore, India, Ali K* Zoheb , Kodikal Dr. Rashmi ,   Department of management studies , P A College of Engineering, Mangalore, India
Published: December 2019

India is a country where maximum growth is witnessed in ecommerce. Most of the firms have started to adopt technology because of the benefits associated with that. In this study the researcher measured the impact of service quality on various behavioral dimensions like word of mouth, revisit and intention to purchase in internet shopping. The study was conducted from online shoppers of Dakshina Kannada district of Karnataka in India because of the high adoption rate among the people. A total of 350ssamples was collected from various taluks of Dakshina Kannada district in proportion to its population. The researcher found out that E-Service quality have a strong positive influence on consumers buying decision which influence satisfaction and finally that leads to creation of a category of consumers who are loyal to the firm and show very positive post purchase behavior. In comparison with the various dimension of service quality it was found that ease of use and ease of navigation had maximum impact on the customers. The firms should also target their marketing efforts on creating a positive service encounters; this will lead to a better satisfaction rate.
Person Re-Identification using Reduced Dictionary Sparse Representation Based Classifier
Authors:   Pursuing Part Time Research In Srm Institute Of Science And Technology, Kattangulathur, Vidhyalakshmi* Mrs.M.K. , Poovammal Dr. E. ,   Professor Department Of Computer Science And Engineering At Srm Institute Of Science And Technology
Published: December 2019

Video surveillance has become a necessary tool for monitoring a public places. Automation of the video surveillance is the current need, as it a tough task for the humans to monitor the surveillance video continuously. Also searching a person from a bulk of videos is not an easy job. Person re-identification is a step taken towards to make the video surveillance an automated one. Person re-Identification is a task of matching the identity of a person captured by different cameras in the network at different places and times. The cameras used for surveillance are located at a much higher position than the person so that the conventional method of face recognition is not used for identification of the person. The images of the same person may differ based on the qualities of different cameras (resolution changes), or due to different lighting conditions (variation in illumination) or due to posture changes. Recently sparse based classifier is used in person re-identification and is effective in handling in illumination variation and occlusion. But sparse based decomposition method is not computational efficient. This leads to the development of the person re-identification method based on Reduced Dictionary Sparse representation based Classifier (RDSC). This is done with 2 steps: (i) Similarity score for reduction of the gallery; (ii) Sparse basis expansion of targets in terms of reduced gallery. The proposed method is both computational efficient and creates better outcomes.
Secure Dynamic Groups Data Sharing with Modified Revocable Attribute-Based Encryption in Cloud
Authors:   School of Computer Engineering, KIIT Deemed to be University, Bhubaneswar, Odisha, India., Murala* Dileep Kumar , Panda Sandeep Kumar ,   Computer Science and Engineering, Faculty of Science and Technology, ICFAI Foundation for Higher Education, Hyderabad, Telangana, India., Swain Santosh Kumar ,   School of Computer Engineering, KIIT Deemed to be University, Bhubaneswar, Odisha, India.
Published: December 2019

Cloud computing provides a flexible and convenient way for data sharing, which brings various benefits for both the society and individuals. But there exists a natural resistance for users to directly outsource the shared data to the cloud server since the data often contain valuable information. Although it causes many security issues, cloud service providers are not at the same level of trust as users. To preserve the privacy of data against non-trusted Cloud Service Provider (CSP) files, current solutions implement Cryptographic methods (for example, encryption methods) and deliver decryption keys only to authorized users. However, data sharing in the cloud among authorized users remains a difficult problem, especially when it comes to dynamic user groups. Most of the research on dynamic group data exchange has been done in the cloud with many algorithms, such as Attribute-Based Encryption (ABE), Ciphertext Attribute-Based Encryption (CP-ABE) to provide better security in dynamic cloud users with multiple authorities, but they still face challenges, either lack of performance or rely on a trusted server, and are not suitable for distribution with the problem of eliminating attributes. Thus, the Revocation user cannot get shared data before and after. To solve this in particular, we first suggest an effective Modified Revocable Attribute-Based Encryption (MR-ABE) system with the quality of ciphertext allocation by applying and integrating both Identity-Based Encryption (IBE) and CP-ABE techniques. It can provide confidential forward / backward of encrypted data by delivering user revocation attributes and updating encrypted text simultaneously. Next, we perform Fine-grained access control and data exchange for on-demand services with dynamic user groups on the cloud. Experimental data show that our proposed system is more efficient and scalable than the latest generation solutions.
CFD Analysis on Propeller Performance with Propeller Boss Cap Fin
Authors:   Graduate Engineering Trainee (GET), VIK-SANDVIK Design, Visakhapatanum, India., Sankpal* Swapnil D. , BM *Dr. Shameem ,   Assistant Professor, Department of Naval Architecture & Offshore Engineering, Academy of Maritime Education and Training (AMET University), Chennai, INDIA
Published: December 2019

The global price of oil, which is both finite and limited in quantity, has been rising steadily because of the increasing requirements for energy in both developing and developed countries. Furthermore, regulations have been strengthened across all industries to address global warming. Many studies of hull resistance, propulsion and operation of ships have been performed to reduce fuel consumption and emissions. The present study examined the design parameters of the propeller boss cap fin (PBCF) and hub cap in improving the propeller efficiency. PBCF is the kind of hydrodynamic energy saving device which aims to reduce energy losses associated with propeller hub vortex by fitting fins to the cap of a propeller. The main principles of PBCF is breaking up hub vortex to straighten propeller wake, thus recovering the negative pressure on the cap. This reduces propeller’s rotational losses and produces negative torque to reduce propeller shaft torque and generating thrust. The study focuses on the size of the blades on boss cap and optimizing its geometry using CFD technique. Open Water Test has been modelled using dynamic meshing technology known as overset meshing. Seven variations of PBCF are modelled and tested to estimate the efficiency of the propeller. The obtained results are then compared with the simulation result with the propeller without PBCF arrangements. The propeller characteristics (without PBCF) has been initially validated using overset meshing strategy with the available experimental results. Overset mesh has been used to perform this analysis to give better control over the fluid flow. It has been observed that, the propeller with PBCF, one among seven variations is giving nearly 2.0% more efficient than the propeller without PBCF.
Effect of Partial Replacement of Cement by Quarry Dust, Rice Husk Ash with using Polyester Fiber in Concrete
Authors:   Assistant Professor, Department of Civil Engineering, S R Engineering College, Warangal., Guruprasad* M. , Sangeetha G. ,   Assistant Professor, Department of Civil Engineering, S R Engineering College, Warangal., Tipraj B. ,   Assistant Professor, Department of Civil Engineering, S R Engineering College, Warangal., Srinivas A. ,   Assistant Professor, Department of Civil Engineering, S R Engineering College, Warangal., T Sathanantham. ,   Assistant Professor, Jay Shriram Group of Institutions, Tirupur, Tamilnadu.
Published: December 2019

Generally Portland cement is used as binding material in concrete which liberates large amount of co2 while manufacturing. Hence there is an urgent need for proper attention and to minimize their impact on the sustainability of our living environment. In this study quarry dust and Rice husk ash were partially replaced for cement material, And adding the polyester fiber to strengthening the rebar. In this investigation marble dust and rice husk ash are used as a replacement for cement in various proportions such as 0%, 10%, 15%, 20%, 30% in a total replacement of 30% of cement, Where in each proportion the remaining percentage is filled by the Rice husk ash. Marble dust contains more than 50% of silica content in it. Study of Index property and engineering property were obtained in laboratory. Cube casted along the polyester fiber with aspect ratio 100 is adding as reinforcement agent. Polyester had added as 0.1% .
Modeling and Simulation of DoS Attack Response in WSN based IoT
Authors:   Department of Electrical and Computer Engineering, Sungkyunkwan University, Suwon, Republic of Korea., Chung* Won Jin , Cho* Tae Ho ,   Department of Computer Science and Engineering, Sungkyunkwan University, Suwon, Republic of Korea.
Published: December 2019

Autonomous vehicles are cars that drive autonomously and safely to their destination. Autonomous vehicles offer driver convenience but can also be used as an attack tool to cause accidents. The attacker can infiltrate the controller area network exchanging information of the electronic control unit of the autonomous vehicles and take control of the vehicle's movement. As a result, the attacked autonomous vehicles may drive abnormally and cause an accident. In addition, an attacker can try various attacks such as a denial of service attack that sends many unnecessary packets to autonomous vehicles and paralyzes the network, and a replay attack that continuously sends old information that does not match the current road conditions. These attacks can cause vehicles accidents without infiltrative the controller area network controllers of autonomous vehicles. This paper proposes a countermeasure to denial of service attacks on autonomous vehicles, which uses the autonomous vehicles speed information sensed by sensor nodes of wireless sensor networks. In the event of an accident, for example, the autonomous vehicles detect a denial of service attack by comparing the information calculated at the base station with the Autonomous vehicles’ own information. The autonomous vehicles maintain speed based on the information received from the base station. Then the base station communicates with the infrastructure based on the road condition information received from the wireless sensor networks sensor nodes. This allows the infrastructure to control the roads and prevent further accidents. This paper shows that the WSN-based IoT can be modeled and simulated based on discrete event systems to cope with denial of service attacks on autonomous vehicles, enabling them to operate normally and safely.
Multiresolution Bio-Medical Image Segmentation using Fuzzy C-Means Clustering
Authors:   Department of PG studies in Electronics, Kuvempu University, Shimoga, India., B S* Priya , Jagadale Basavaraj N ,   Department of Electronics, Kuvempu University, Shimoga, India., H N Swaroopa ,   Department of Electronics, Kuvempu University, Shimoga, India., Hegde Vijayalaxmi ,   Department of Electronics, MESMM Arts and Science College, Sirsi, India.
Published: December 2019

Fuzzy c-means clustering is a popular image segmentation technique, in which a single pixel belongs to multiple clusters, with varying degree of membership. The main drawback of this method is it sensitive to noise. This method can be improved by incorporating multiresolution stationary wavelet analysis. In this paper we develop a robust image segmentation method using Fuzzy c-means clustering and wavelet transform. The experimental result shows that the proposed method is more accurate than the Fuzzy c-means clustering.
Techniques of Big Data Text Summarization
Authors:   Ph.D Research Scholar, Department of Computer Science, Jairams Arts and Science College Karur affiliated to Bharathidasan University Tiruchirappalli, Kuriakose* Anish Mathew , Umadevi DrV. ,   Director, Department of Computer Science,Jairams Arts and Science College Karur affiliated to Bharathidasan University Tiruchirappalli
Published: December 2019

In the web industry 4.0, big data are playing a key role in the organizations of their digital transformation journey. Data has also changed intensely in recent years, in volume, variety and velocity. Its fast development attributed to the extensive digitization of business progressions globally. In simple term, data has turn into the new currency of business and its further quick growth will be key transformation and growth of organizations globally. Vast amount of online information, available in healthcare, social media websites, e-commerce web pages, e-books, legal domain, e-news, etc. has made text processing a vital extent of research. The paper starts with introduction about the evolution of web industry 4.0 and digitalization. Followed by the introduction, the paper discusses about big data and text summarization techniques. Further, it describes the literature of text mining that have taken in the recent years. The main objective of this paper is to discuss about the big data text summarization issues and challenges. The paper starts with general introduction of big data and text mining and text summarization. Further it describes recent advances in big data text summarization, and then delve into extraction and abstraction-based text summarization. Finally, the paper concludes with some future research directions.
Aerodynamic Performances of Small Scale Horizontal Axis Wind Turbine Blades for Applications in Malaysia
Authors:   MJIIT UTM, Kuala Lumpur, Malaysia., Roslan A.H.M. , Rasid Z.A. ,   MJIIT UTM, Kuala Lumpur, Malaysia, Toh H.T. ,   MJIIT UTM, Kuala Lumpur, Malaysia., Hassan M.Z. ,   Razak Faculty, UTM, Kuala Lumpur, Malaysia.
Published: December 2019

Wind energy is one of the most viable options for clean and sustainable energy production. In Malaysia where wind source has been considered scarce, the capacity of installed wind energy production is very low. However, studies have shown that it is worthwhile to produce wind energy at several potential sites in this country. For this purpose, it is crucial that the designed turbine blade gives the highest possible blade power efficiency while structure wise, the turbine blade need to be effective in terms of avoiding possible failures. The maximum power efficiency means the blade does not only provide profile that gives maximum sliding ratio but also it must operate at the corresponding angle of attack, that gives this ratio. At the same time, the blade must be small enough to have low weight to allow it to self-start in the low wind region. In this paper, the study is focused on the aerodynamic aspect of the design of wind turbine blade that will give the maximum power efficiency. Four factors that determine aerodynamic performance of the turbine blades are discussed: the wind condition, the airfoil profile, the blade geometry and the losses. In most of the factor, adjustments are made such that the blade operates at around the so that the sliding ratio and thus power coefficient are maximum.
Substrate Integrated Waveguide Slot Array antenna for Broadband Applications
Authors:   Dept. of ECE, Sreenidhi Institute of Science and Technology, Hyderabad, Telangana., S* Rekha , Ramani S ,   Dept. of ECE, Sreenidhi Institute of Science and Technology, Hyderabad, Telangana.
Published: December 2019

This paper presents a design of substrate integrated waveguide slot array antenna for X and Ku band applications. This is a low weight and simple profile antenna covering a vast range of frequencies. A substrate integrated waveguide is formed by two rows of metallized cylinders connecting upper and bottom layer of substrate. On the metallic plate, slot arrays are etched in a periodic fashion to achieve broad bandwidth. The SIW is excited by the microstrip feeding through a tapered transition to achieve smooth flow of current. The simulated result shows that -10 dB return loss of the proposed antenna is -35 dB, -29 dB and -22 dB at 11.1 GHz, 12.7GHz and 17.6 GHz respectively. The simulated bandwidth of the design is 7.6 GHz from 10.4-18 GHz which covers X band partially and Ku band. The gain of the antenna is about 6 dB. The proposed design is simulated using 3D full wave simulator named Ansys HFSS.
Key Metrics Identification of Distinct Process Models to Develop an Iot Based Systems
Authors:   Research Scholar, Department of CSE, Koneru Lakshmaiah Education Foundation, Green Fields, Guntur District, Vaddeswaram, Andhra Pradesh, India, nandigam* Mr. Satyanandaram , Chowdary Dr. Chaparala Smitha ,   Associate Professor, Department of CSE, Koneru Lakshmaiah Education Foundation, Green Fields, Guntur District, Vaddeswaram, Andhra Pradesh
Published: December 2019

The globe is encompassing gravitate automation. Many organizations turning the theoretical aspects into practical implementation by converging technologies. Embedded systems considered the core of sensor-based technology. Bundle of built-in configuration required to interact devices. Productivity software confederate to communicate with the integrated systems over the web. Process models furnished strategies to implement systems. Process models like a classical waterfall, Spiral, XP, Agile, RUP, Prototype, and Scrum which provides the blueprint for developers. The paper investigating the variations among process models and integrated system development. Discrete factors have to be considered an excerpt of the process model to an integrated system. Process models can be suitable to implement small scale and medium scale systems but implementing sophisticated systems deals with various critical factors. The non-functional attributes of development tools and deployment environments are the key components in system development. Since the cloud is the component of IoT and cloud providing solutions as per pay and use policy. Identifying process model for IoT systems depends on application nature, development and deployment environments. IoT systems require real-time operating systems or devices to interpret code in it. The probable scrutiny is given information about the agile methodology. The research involving with identification of key metrics of various process models to develop IoT based systems. The paper presuming the external factors not involving with the process mode. Identified key factors from agile model to develop medium level integrated systems.
Influence of Different Parameters on Shear Wave Velocity
Authors:   Civil Engineering Department, College of Engimeering Guindy, Anna University, Chennai, India., K.* Menaka , K. Premalatha ,   Civil Engineering Department, College of Engimeering Guindy, Anna University, Chennai, India.
Published: December 2019

Subsurface conditions play a major role in the damage potential of earthquakes. Local geological conditions generate significant amplification of the ground motion. The simple way to characterize the site condition is by estimating the shear wave velocity. The main objective of this paper is to evaluate the influence of silt content, density and confining pressure in the shear wave velocity. Soil samples were collected from different locations of College of Engineering, Guindy campus for conducting the bender element (BE) test. The shear wave velocity(Vs) determined from bender element test for the respective field density were compared with shear wave velocity obtained from Multichannel Analysis of Surface Wave (MASW) test. For understanding the influence of above mentioned parameters the bender element tests were carried out. The important conclusions arrived through the studies are increase in density and confining pressure increases the shear wave velocity but increase in silt content decreases the shear wave velocity. The maximum variation in the shear wave velocity determined from laboratory and field are in the range of 11.62% to 18.5%.