bluuebunny/crossref_metadata_2025 huggingface dataset:
Dynamic Power Oscillation Reduction using PSOA-PI in UPFC
Authors:   School of Electrical & Electronics Engineering, REVA University/Research Scholar V.T.U, India., M.H* Ananda , Shivakumar M.R. ,   Sri Revana Siddeshwara Institute of Technology, V.T.U, India.
Published: January 2020

The power flow control is one the important part of power system to maintain power system stability. If the real power and reactive power can be controlled then the automatic control of the power system gives numerous possibilities. The Flexible AC Transmission System (FACTs) are the devices meant for this operation. There are series and shunt type of FACTs devices available. The Unified Power Flow Controller (UPFC) is one of the best devices in FACTs devices in AC power system. The power flows can be controlled in series and shunt connections using the two converters. The power oscillations are common in UPFC when the reference powers are changed. The PI controllers are replaced with PSOA tuned PI controller to reduces the power oscillations and reduces the settling time. The problem is formulated to minimize the settling time of the power value. The series and shunt controllers are tuned with particle swarm optimization algorithm (PSOA) to tune the PI controller parameters available in it. The MATLAB Simulink version 2017b is used here for the analysis and well known UPFC test system with three generators are used here for testing the proposed method. The results show PSOA tuned PI controller provides better oscillation damping with reduced settling time.
An efficient Task Scheduling and Load Balancing in Cloud Computing using KD-Tree Algorithm
Authors:   Department of Computer Science and Engineering, Visvesvaraya Technological University, Belagavi, India., S P* Usha Kirana , D’Mello Demian Antony ,   Department of Computer Science and Engineering, Canara College of Engineering, Mangaluru, India.
Published: January 2020

Cloud Computing provides the sharing ability and access for available cloud host and various distributed environments, namely Load Balancing (LB), virtualization technologies and scheduling techniques. The satisfaction of both users and cloud providers are the major issues for effective LB and task scheduling algorithms in cloud resource management, where the requirements namely high resource utilization, low monetary costs and minimum makespan. Many researchers tried to develop various heuristic and meta-heuristic algorithms to attain the aforementioned user requirements. But, when the number of tasks grows exponentially, these algorithms failed to achieve LB, lower running time, and it faces the high time complexity. In this research work, a KD-Tree algorithm is developed to address the issues of heuristic algorithms and provide efficient LB by partitioning the environments into several tasks. According to the deadline of task execution, the remaining tasks are adjusted dynamically by the proposed KD-tree algorithm in the virtual environment. The experiments are conducted to evaluate the efficiency of KD-Tree algorithm with existing heuristic techniques by using makespan, energy consumption and task migrations. When the number of tasks is 20, the proposed KD-Tree algorithm achieved 71.33% makespan and 5% task migrations.
Design of XOR and XNOR Based Full Adder Circuits
Authors:   Department of Electronics and Communication Engineering, Koneru Lakshmaiah Education Foundation, Vaddeswaram, AP, India., Rao* I.Veeraraghava , M Aditya ,   Department of Electronics and Communication Engineering, Koneru Lakshmaiah Education Foundation, Vaddeswaram, AP, India, Chowdary V Kavya ,   Department of Electronics and Communication Engineering, Koneru Lakshmaiah Education Foundation, Vaddeswaram, AP, India., Nishitha K Sai ,   Department of Electronics and Communication Engineering, Koneru Lakshmaiah Education Foundation, Vaddeswaram, AP, India., Sai V Naveen ,   Department of Electronics and Communication Engineering, Koneru Lakshmaiah Education Foundation, Vaddeswaram, AP, India.
Published: January 2020

This paper has a XOR / XNOR gate circuits produces separate and establishes a simultaneous XOR - XNOR function.. Due to stubby yield capacity and short-circuit energy dissipation, the power utilization and latency of these circuits is increasing A new one-bit adder hybrid circuit is chosen built on the effective gates of xor xnor or xor / xnor. Each prefer circuit has its own advantages as it is known for its high speed, low current drain, short delay product (PDP), galvanic ability, etc. Simulations of the planned models were carried out using Mentor Graphics to see the quality of these projects. The simulation results are based on the 130-nm CMOS engineering design. A recent technique of transistor sizing is implemented to improve the circuits ' PDP.
Shift Invariant Dictionary Learning for Human Action Recognition
Authors:   School of Information Technology and Engineering, Vellore Institute of Technology, Vellore., P* Ushapreethi , Priya G G Lakshmi ,   School of Information Technology and Engineering, Vellore Institute of Technology, Vellore.
Published: January 2020

Sparse representation is an emerging topic among researchers. The method to represent the huge volume of dense data as sparse data is much needed for various fields such as classification, compression and signal denoising. The base of the sparse representation is dictionary learning. In most of the dictionary learning approaches, the dictionary is learnt based on the input training signals which consumes more time. To solve this issue, the shift-invariant dictionary is used for action recognition in this work. Shift-Invariant Dictionary (SID) is that the dictionary is constructed in the initial stage with shift-invariance of initial atoms. The advantage of the proposed SID based action recognition method is that it requires minimum training time and achieves highest accuracy.
Performance of Modified Rubber Aggregate Concrete with GGBS and Silica
Authors:   Research Scholar of Civil Engineerieng Department, Hindustan University, Padur, Chennai, Tamil Nadu, India & Assistant Professor, Civil Engineerieng Department, Elitte College Of Engineering, Sodepur, Kolkata, India, Banerjee* Sulagno , Mandal Aritra ,   Research Scholar of Civil Engineerieng Department, Hindustan University, Padur, Chennai, Tamil Nadu, India & Assistant Professor, Department of Civil Engineering, Techno International Batanagar, West Bengal, India, rooby Dr. Jessy ,   Professor, Civil Engineering Department, Hindustan University, Padur, Chennai, Tamil Nadu, India
Published: January 2020

Transfer of tyre rubber suit a tremendous difficulty in India step by step. Analysts are attempting to utilize waste rubber in structural building venture from numerous days back. When coarse aggregate was replaced with 20% chipped rubber it was found that the optimum replacement is5% but still there is a deficit in some strength from conventional concrete. This research programme tries to minimise this gap by adding extra 5% micro silica of the weight of cement and also by replacing 40% of cement by GGBS. Here cubes, cylinders, and prisms were casted to test compressive strength, tensile strength, flexural strength, and durability against heat and were observed after 28 days and 56 days.
Changing Learning Environment and Electronic Resources
Authors:   Associate, Department of Library and Information Science, Assam Women’s University Jorhat, Assam, India., Deka* Pranjal
Published: January 2020

Today’s world totally runs with Information, All societies run with the association of modern ICT tools.Due to changing context, learning and teaching environment is also drastically changing. Electronic resources (e-resources) have become very popular among the scholarly community of the world and libraries are no exception. Today, the academic libraries are procuring more and more e-resources for the satisfaction of their users. All libraries try to provide quick and effective service for their users ata low cost in the least time. In changing context E-resources play a vital role in the quality enhancement of higher education. In this paper,it is tried to reflect various dimensions of E-resources used by the student of the Social Science and Humanities disciplines of Dibrugarh University.
Mechanical Characterization of Banana fibre reinforced Natural fibre composite
Authors:   Assistant Professor, Department of Mechanical Engineering, Narayanaguru College of Engineering, Manjalumoodu - 629151, Tamilnadu, India., S* Mr. Shajin , Anand M Dr. Dev ,   Director Research/Professor, Department of Mechanical Engineering, Noorul Islam Centre for Higher Education, Noorul Islam University, Kumaracoil - 629180, Tamilnadu, India., C P Dr. Jesuthanam ,   Principal/Professor, Department of Mechanical Engineering, Narayanaguru College of Engineering, Manjalumoodu - 629151, Tamilnadu, India., J P Mr. Pratheesh ,   Assistant Professor, Department of Mechanical Engineering, Narayanaguru College of Engineering, Manjalumoodu - 629151, Tamilnadu, India., Krishnan M P Mr. Dhanu ,   Assistant Professor, Department of Mechanical Engineering, Narayanaguru College of Engineering, Manjalumoodu - 629151, Tamilnadu, India.
Published: January 2020

Fibre reinforced composites have been an essential concern in various fields, especially in the field of aerospace owing to its high strength to weight ratio, toughness, corrosion resistant and low cost. Natural fibre reinforced composites have produced better results in mechanical properties like impact, toughness and fatigue strengths when compared to synthetic fibre reinforced composites. Recently researches have been conducted on different varieties of natural fibres for use in plastics such as jute straw, wood, rice husk, wheat, barley etc. Natural fibres have also attracted the attention of researchers due to its availability, renewability, degradability and most importantly ecofriendly. In this work an attempt is made to improve the mechanical properties of the composite and also to enhance the compatibility of the fibres with the matrix. The composite is prepared by reinforcing banana fibres into unsaturated epoxy matrix using hand layup method. Mechanical properties such as tensile strength, flexural strength and hardness strengths are carried out on the specimens made by reinforcing with 5%, 10 % and 15 %concentration of banana fibre by weight. The results showed that the composite with 15% concentration of banana fibre produced higher tensile strength of 21.43 MPa, flexural strength of 0.895 kPa and Shroud hardness of 59.3.
Smart Resilient Security Framework and Solutions for Cloud-driven Digital Supply Networks
Authors:   Department of Information Technology, School of Information Technology and Engineering, Vellore Institute of Technology (VIT), Vellore, Tamil Nadu, India., Srinivasan* Kathiravan , Gupta Takshi ,   Information Security Engineering Department, Soon-chunhyang University, Asan-si, South Korea, Kumaran S Senthil ,   Department of Manufacturing Engineering, School of Mechanical Engineering, Vellore Institute of Technology (VIT), Vellore, Tamil Nadu, India., N Srinivasan ,   Department of Manufacturing Engineering School of Mechanical Engineering, Vellore Institute of Technology (VIT), Vellore, Tamil Nadu, India.
Published: January 2020

The cloud-based logistics services allow cost reduction, higher elasticity, flexibility, and maximum utilization of resources for performing high computations and data analytics. Logistics and security are complex issues with the corporate entities when these are to be used for taking critical issues. To understand these, this paper discusses a conceptualized, flexible security framework for cloud-driven digital supply chain in Agricultural. Moreover, a security enhancement layer is included at each layer of the cloud with a feasibility study on protecting user information in the logistics services ambiance. Also, the Data Residency for cloud-based logistics services is elaborated with Data Security analysis. Further, the article discusses the possible solutions to handle the security concerns of the logistic model.
2511 Published By: Blue Eyes Intelligence Engineering & Sciences Publication Retrieval Number: B7082129219/2019©BEIESP DOI: 10.35940/ijitee.B7082.129219 Journal Website: www.ijitee.org Cyclic Temperture Heating and Cooling Control System
Authors:   UG Student, School of Electronics Engineering (SENSE), Vellore Institute of Technology, Vellore, Tamil Nadu, India., Jain* Prathik , Tripathy Saroj Anand ,   UG Student, School of Electronics Engineering (SENSE), Vellore Institute of Technology, Vellore, Tamil Nadu, India., R Rajesh ,   Assistant Professor (Senior), School of Electronics Engineering (SENSE), Vellore Institute of Technology, Vellore, Tamil Nadu, India.
Published: January 2020

This paper on the cyclic temperature heating and cooling control system proposes a method to control and adjust to the suitable temperatures for the rooms. The system is utilised to control the temperature in various real-time environments. This where the paper on the cyclic temperature heating and cooling control system comes in by making the use of the peltier effect in the thermoelectric module, which is trying to solve the above problem. The temperature sensor detects the change in temperature as the difference between the set-point temperature which is used to execute the fan or the heater. The error in the system is reduced by the Proportional-Integral-Derivative (PID) controller which is around 80%-90%, which is often created by the Pulse Width Modulation (PWM) which generates square wave responsible for switching ‘ON’ and ‘OFF’ the thermoelectricmodule. These then switch between the Metal-Oxide Semiconductor Field Effect Transistor (MOSFETS) using the H-bridge circuit causing to change the flow of Direct Current (DC) current which in turn, is responsible for controlling the temperature of the surroundings. It can be used in precise temperature control and rapid thermal cycling in a micromachined DNA polymerase chain reaction chip.It also can be used in temperature control for PCR thermo-cyclers based on peltier effect thermo-electric. It can be used in an automotive cabin climate control system.Help in improving solar cooling technologies.Also, improve in the accuracy of the thermal testing of equipment.
Skin Lesion Detection using Texture Based Segmentation and Classification by Convolutional Neural Networks (CNN)
Authors:   Associate Professor, School of Information Technology and Engineering, Vellore Institute of Technology, Vellore, Tamil Nadu, India, L* Agilandeeswari , Sagar Mahajan Tanuja ,   M.Tech (CCE), School of Information Technology and Engineering, Vellore Institute of Technology, Vellore, Tamil Nadu, India, N Keerthana ,   M.Tech (CCE), School of Information Technology and Engineering, Vellore Institute of Technology, Vellore, Tamil Nadu, India
Published: January 2020

Skin cancer is one of the dangerous cancers like breast cancer, brain tumour, and lung cancer. The detection of a skin lesion is melanoma or nonmelanoma is a very crucial issue. The earlier detection of melanoma is one of the best solutions for this issue. There is a various technique for detecting the skin lesion. Because of the technology advancement earlier detection of the skin lesion is possible. Malignant melanoma is a very harmful melanoma it is the cancerous cell that will lead to growth and that can be a mole in different colours red, black and brown. Skin lesion segmentation from dermoscopic images is a very challenging task nowadays because of the contrast of those images. there are various techniques for detecting the skin cancer base on the characteristics of the images shape, colour, textures. We proposed a system for skin cancer detection using texture-based segmentation and classification using Convolutional Neural Network. GLCM (Gray Level Co-occurrence Matrix) matrix is exacting the features from an image. And used Neural network tool for checking the accuracy of training network. Nowadays Deep Learning technique is very popular for classification of images. CNN is one of the techniques of Deep Learning. The proposed work will help in classification of skin lesion. Model will helpful for dermatologists for classifying melanomas.
Classification of Student Faces in Assignment Presentation Video using Bezier Curve and K-Means Clustering Algorithm
Authors:   Information Systems Management Department, BINUS Graduate Program – Master of Information Systems Management, Bina Nusantara University, Jakarta, Sfenrianto* Sfenrianto , Nainggolan Kaman ,   STMIK Nusa Mandiri, Indonesia,, Rohman Abdur ,   STMIK Nusa Mandiri, Indonesia
Published: January 2020

Grouping facial images can be used for various purposes with various algorithms. The purpose of this study was to determine the classification of students' facial images in the assignment presentation video using the Bezier Curve algorithm and K-Means Clustering. The results showed that the initial classification was still in a varied and uneven position. Then the final classification has a significantly different distribution for each cluster.
Fuzzy Based Adaptive Anisotropic Diffusion Despeckling Filter
Authors:   Department of E&CE , Angadi Institute of Technology and Management, Belagavi ,India., Bannulmath* Mr. Prashant G. , Havaldar Dr. Raviraj H. ,   Department of BME , KLE Dr MSSCET, Belagavi, India
Published: January 2020

Echocardiography is an ultrasound of the heart for the assessment of cardiac structure and function. Images obtained from the ultrasound suffer from a speckle Noise. Speckle is an inherent multiplicative noise which affects the visual perception by discriminating the fine details in the echocardiography. Speckle removal is important step to improve the visual quality of the echocardiography for better diagnosis. Anisotropic diffusion is one of the popular techniques to despeckle the ultrasound image in recent times. In this paper, we propose a fuzzy based adaptive anisotropic diffusion despeckling filter to despeckle echocardiography ultrasound image. The results show that fuzzy diffusion when combined with adaptive anisotropic diffusion filter gives better performance compared with existing despeckling filters.
Solution of Cluster Traveling Salesman Problem using Heuristic Based Genetic Algorithm with Risk Constraint
Authors:   Dept. of Computer Sc. and App., Prabhat Kumar College, Contai ,WB, India.., Roy* Arindam
Published: January 2020

This is a heuristic investigation with risk constraint for solving the traveling salesman problem (TSP) dividing given vertices (nodes) between a prespecified number of clusters. A Heuristic based Genetic Algorithm (HbGA) is applied on each cluster to produce a Hamiltonian path based on prespecified nodes of a cluster. Each cluster must have a unique set of nodes. Finally, all Hamiltonian path of each cluster together prepare a possible Hamiltonian cycle. The efficiency of our proposed algorithm has been tested for a number of symmetric TSPLIB instances of various sizes. The computational results show the proposed algorithm works well in realistic manner.
Imitation Model of Activity of the Industrial Complex
Authors:   Research and Innovation Center for Information and Communication Technologies under Tashkent University of Information Technologies named after Al-Khwarizmi, Tashkent, Uzbekistan., Mukhammadieva* Dilnoz , Urokov Shavkat ,   Tashkent University of Information Technologies named after Al-Khwarizmi, Tashkent, Uzbekistan.
Published: January 2020

In order to improve the management of the silk industry of the republic, deepen market relations and increase the export potential of enterprises of the silk complex, a simulation model of the silk complex has been developed. The article discusses the development of models and algorithms in order to predict the structure of the feed base for sericulture, the production of grains and cocoons consisting of several blocks.
Confidential Health Care Data Exchange Between Multiple Entities in Cloud using Block Chain
Authors:   Department of CSE ,Koneru Lakshmaiah Education Foundation, A.P, India., Bhargavi* S.Satya , Priya P.Madhu ,   Department of CSE, Koneru Lakshmaiah Education Foundation, A.P, India., Shanmukh K. ,   Department of CSE, Koneru Lakshmaiah Education Foundation, A.P, India., Kumar A.Vijaya ,   Department of CSE, Assistant professor at Koneru Lakshmaiah Education Foundation, A.P, India.
Published: January 2020

Data in the cloud is leading to the more interest for cyber attackers. These days’ attackers are concentrating more on Health care data. Through data mining performed on health care data Industries are making Business out of it. These changes are affecting the treatment process for many people so careful data processing is required. Breaking these data security leads to many consequences for health care organizations. After braking security computation of private data can be performed. By data storing and running of computation on a sensitive data can be possible by decentralization through peer to peer network. Instead of using the centralized architecture by decentralization the attacks can be reduced. Different security algorithms have been considered. For decentralization we are using block chain technology. Privacy, security and integrity can be achieved by this block chain technology. Many solutions have been discussed to assure the privacy and security for Health care organizations somehow failed to address this problem. Many cryptographic functions can be used for attaining privacy of data. Pseudonymity is the main concept we can use to preserve the health care means preserving data by disclosing true identity legally.
Thermoelastic Behavior Inthin Hollow Cylinder using Internal Moving Heat Source
Authors:   Department of Applied Science, PVG’S College of Engineering, Nashik, Maharashtra, India., Ahire* Yogita M. , Ghadle Kirtiwant P. ,   Department of Mathematics, Dr. Babasaheb Ambedkar Marathwada University, Aurangabad, India., Hamoud Ahmed A. ,   Department of Mathematics, Dr. Babasaheb Ambedkar Marathwada University, Aurangabad, India.
Published: January 2020

A hollow cylinder having cylindrical hole at the center has been examined under the temperature variation condition. This composition deals with study of temperature distribution in thin hollow cylinder and corresponding stresses. The author has worked to carry out the transient thermo elastic problem for evaluation of temperature distribution, displacement and thermal stresses of a thin hollow cylinder. The known non homogeneous boundary conditions are applied to obtain the solution of this problem. The integral transform technique yields the solution to the problem. The analysis contains an infinite series. The variation of said parameters observed and analyzed by using necessary graphs.
Hand Gesture Control Robot
Authors:   Assistant Professor In Vellore Instiute Of Technology, Vellore., Malar.M.B* Prof Benjula Anbu , Praveen R. ,   Pursuing Master Of Computer Application in Vellore Instiute Of Technology,Vellore., Kavipriya K.P. ,   Pursuing Master Of Computer Application In Vellore Instiute Of Technology,Vellore.
Published: January 2020

In this paper we have designed a basic robotic chassis which can be easily controlled with the help of accelerometer instead of using button control. Here the most significant device is accelerometer. The accelerometer is the 3 axis estimation gadget with +-3g range. This gadget is made by utilizing polysilicon surface sensor and signal controlling circuit to quantify acceleration. The outcome of the accelerometer is analog in nature and corresponding to the acceleration. This gadget measures the static acceleration of gravity when we tilt it. And gives an outcome in type of movement or vibration. The hand position is sensed and the coordinates generated is considered as the parameter and if neccessary conditions are met, the statement prescribed in the arduino code is executed and the direction of the robot chassis is changed accordingly. So that it can perform the task such as forward moving, backward moving, turning left, turning right and stop. In many cases, the robot devices are some tough and complex while we control it with the help of buttons and switches. The major fields that prefers hand gesture robots are Defence field, industrial robotics, vehicle part assemble in civil side, medical field for surgery. In these fields if we are using remote controls and the button, the task will become complex. Sometimes the operator may get confuse in the switch control and button control, so a new concept is used to manage the gadget with the motion of the hand and at the same time it will manage the motion of the device.
Performance Analysis of 1 bit HPSC Adder
Authors:   Department of Electronics & Communication Engineering, Koneru Lakshmaiah Educational Foundation, Vaddeswaram, AP, India, Philip B* John , M Aditya ,   Department of Electronics & Communication Engineering, Koneru Lakshmaiah Educational Foundation, Vaddeswaram, AP, India., Reddy Y Jitendra ,   Department of Electronics & Communication Engineering, Koneru Lakshmaiah Educational Foundation, Vaddeswaram, AP, India, SK Hashvath ,   Department of Electronics & Communication Engineering, Koneru Lakshmaiah Educational Foundation, Vaddeswaram, AP, India, K Maneesha ,   Department of Electronics & Communication Engineering, Koneru Lakshmaiah Educational Foundation, Vaddeswaram, AP, India
Published: January 2020

In the technological evolution of integrated circuits, one of the important and considerable issues is the guesstimate of behavioural analysis of the simple circuits. The simplicity of the theory of logical effort is efficient in the evaluation of timing behaviour of the network with normal CMOS implementation. Howbeit this concept is inefficacious with the hybrid circuits as the circuit structure becomes intricate. At the same time, innumerable circuits with the hybrid arrangement which are good enough in various parameters when compared with standard CMOS have been proposed for various applications. Elite coordinated circuits frequently use adders to accomplish better speed to the detriment of intensity utilization or structure exertion. Hence it is particularly required to comprehend the working of full adders as they thus make an effect in the general gadget execution. The circuits developed by hybrid approach use perceptible logic styles to intensify the performance. Hence there is a great necessity to have an efficient timing behaviour method to determine the proper performance of hybrid adder circuits. This paper presents an efficient investigation that gives the designer a higher level of structure opportunity to focus on a wide scope of utilizations and foresee their exhibition. For the standard and exact selection and reducing of a hybrid adder cell two parameters are taken; one is gain and the other one is the selection factor. These can be quantifiable on the single test bench for the executives of vitality productivity. The predictive analysis is firmly established by implementing in Mentor Graphics for the chosen adder blocks
Depletion of Slag from Almalyk Copper Plant with Aluminum Containing Waste
Authors:   Senior Teacher and Researcher of Department of “Metallurgy”, Tashkent State Technical University, Tashkent, Uzbekistan., Sh.T.* Khojiev , A.A. Yusupkhodjaev ,   Professor of Department of “Metallurgy”, Tashkent State Technical University, Tashkent, Uzbekistan., D.Y. Aribjonova ,   Senior Teacher and Researcher of Department “Metallurgy”, Tashkent State Technical University, Tashkent, Uzbekistan., G.B. Beknazarova ,   Assistant of Department of “Metallurgy”, Tashkent State Technical University, Tashkent, Uzbekistan, D.N. Abdullaev ,   Master of Department of “Metallurgy”, Tashkent State Technical University, Tashkent, Uzbekistan.
Published: January 2020

The article discusses the method of depletion of copper slag using local secondary technogenic formations. When performing this study, slag of secondary aluminum production was used as a reducing agent. It has been established that the developed and widely used in industry technologies for slag decontamination only partially solve the problem and lead to significant irretrievable losses of metal with dump slag. The main factors affecting the magnitude of the losses are established and suggestions for reducing their negative impact are recommended. The use of melting units in laboratory conditions is recommended, as in this case, it is possible to achieve a maximum reduction in the residual concentration of copper in the waste slag. Together, it is possible to achieve an increase in the complexity of the use of raw materials with the organization and implementation of low-waste technology.
Recognition of Human Emotion Detection and Annotation, using Local Descriptor and Support Vector Machine
Authors:   Computer Science & Engineering, PDACE, Kalaburagi,Karnataka, India., P S* Shama , Prakash Dr.Pattan ,   Computer Science & Engineering, PDACE, Kalaburagi,Karnataka, India
Published: January 2020

In multimedia data analysis, video tagging is the most challenging and active research area. In which finding or detecting the object with the dynamic environment is most challenging. Object detection and its validation are an essential functional step in video annotation. Considering the above challenges, the proposed system designed to presents the people detection module from a complex background. Detected persons are validated for further annotation process. Using publically available dataset for module design, Viola-Jones object detection algorithm is used for person detection. Support Vector Machine (SVM) authenticate the detected object/person based on it local features using Local Binary Pattern (LBP). The performance of the proposed system presents given architecture is effectively annotating the detected people emotion.
Forecasting of Commodity Future Index using a Hybrid Regression Model based on Support Vector Machine and Grey Wolf Optimization Algorithm
Authors:   Assistant Professor, Department of CS, T.K. Govt. Arts College, Vridhachalam, India., Veeramanikandan* V. , Jeyakarthic Dr. M. ,   Assistant Director , Tamil Virtual Academy, Chennai, India.
Published: January 2020

The forecasting and investigation of finance time series data are hard, and are the most confounded works pertained with investor decision. In this paper, an economic derivative instrument for Multi Commodity Exchange (MCX) index of CRUDEOIL is estimated by utilizing forecasting models based on recently formulated artificial intelligence (AI) approaches. These approaches have been appeared to perform astoundingly well in different optimization problems. Specifically, a novel hybrid forecasting model is designed by combining the support vector machine (SVM) and grey wolf optimization (GWO) and it is named as hybrid SVM-GWO. The presented hybrid SVM-GWO model eliminates the user determined control parameter, which is needed for other AI techniques. The practicality and proficiency of the presented SVM-GWO regression method is evaluated by predicting the everyday close price of CRUDEOIL index traded in the MCX of India Limited. The exploratory outcomes depicts that the present hybrid SVM-GWO technique is viable and outperforms superior to the conventional SVM, hybrid SVM-TLBO and SVM-PSO regression models.
Text Mining For Multiclass Research Paper Categorization
Authors:   Department of Computer Science and Engineering, Graphic Era deemed to be University, Dehradun, India., Saxena* Amber , Anamika  ,   Department of Computer Science and Engineering, Graphic Era deemed to be University, Dehradun, India., Pant Bhaskar ,   Department of Computer Science and Engineering, Graphic Era deemed to be University, Dehradun, India., Tripathi Vikas ,   Department of Computer Science and Engineering, Graphic Era deemed to be University, Dehradun, India.
Published: January 2020

A research paper is a rich source of academic and innovative writing on a particular topic, and they are unstructured in nature. Categorization of documents refers to classification of documents in classes that are predefined. It is arduous for a user to categories research paper in different domains: because extracting meaningful and relevant words from the research paper is a challenging task. For extracting important information we have used certain methods and classifiers. Methods like bag of words and tfidf is used for processing data. Prepossessing the data includes string tokenizing and stop-word removal. Then the processed data is classified using SVM classifier. For multiclass classification; since predefined classes are 4, therefore 1-v-r classifier is used. The system performance is 88% with 800 training and 200 testing documents. It is analyzed that the model performs better when the training data is more. The aim of this work is to categorize the documents and allocate set of predefined tag to them. It also evaluates the performance of the model by considering different percentages for training and testing sets of documents.
An M /M /1 Queueing System with Server on Attacks and Repair
Authors:   School of Basic Sciences and Humanities, Vel Tech Rangarajan Dr. SagunthalaR & D Institute of Science and Technology, Chennai, India., Viswanath* Jagadeesan , Udayabaskaran Swaminathan ,   School of Basic Sciences and Humanities, Vel Tech Rangarajan Dr. SagunthalaR & D Institute of Science and Technology, Chennai, India.
Published: January 2020

We consider a M /M /1 queueing model of a communication system subject to random attacks on service station. In such attack system, the time interval between any two attacks is an exponentially distributed random variable with mean1/ . When the server fails by an attack, any customer getting service at that time becomes damaged. The failed server is immediately taken for repair and the damaged customer is washed out. Customers in the queue waiting for service are not washed out. The repair time of the server undergoing repair is assumed to be an exponentially distributed random variable with mean1/ . During repair time, the customers are allowed to wait for service maintain First Come First Served order. After the completion of repair, the server returns to the work-station immediately without any delay, even if there is no customer to render service. We derive explicit form of the state probabilities of the attack system in the long run. We also obtain measures of system performance and the model is validated by a numerical illustration.
Retort Processing of Indian Traditional Rice Dumpling
Authors:   Department of Food Processing Technology, Karunya Institute of Technology and Sciences, Coimbatore, Tamil Nadu, India., S Gobikrishnan. , Vivek Kambhampati ,   Department of Food Processing Technology, Karunya Institute of Technology and Sciences, Coimbatore, Tamil Nadu, India., P* Balamurugan. ,   Department of Food Processing Technology, Karunya Institute of Technology and Sciences, Coimbatore, Tamil Nadu, India.
Published: January 2020

Indian rice dumpling is a traditionaland nutritious south Indian snack with ashorter shelf life.In the study, retort processing has been explored to increase theshelf life of the rice dumpling.Retort processingprovides microbiologically,safer products. Butthe use of high temperature for longer processing period results in loss of nutritional and sensory qualities of the rice dumpling. The main objective of the present study is to optimize the process parameters of retort processingto maintain the sterility and retain the nutritional quality of rice dumpling. The experiments weredesigned using central composite design and the optimum value for the retort processing was obtained by response surface methodology. The optimum values of retort processing temperature and time were 115°C and 25 minutes respectively. Rice dumpling produced at the optimum conditions has a shelf life of four weeks when stored at ambient temperature. The sensory analysis was done using hedonic scale, the heat penetration study was calculated by Ball’s formula. The F0 value was found to be 3 minutes. Therefore the shelf life of the Indian traditional rice dumplingcould be increased from one day to four weeks by using retort processing technique.
Employability Skills of Students with Learning Disabilities in Sekolah Menengah Pendidikan Khas Vokasional Indahpura
Authors:   Faculty of Technical and Vocational Education, Universiti Tun Hussein Onn Malaysia, Batu Pahat, Johor, Malaysia, Izam* Saslizawati , Halim Fazlinda Ab ,   Faculty of Technical and Vocational Education, Universiti Tun Hussein Onn Malaysia, Batu Pahat, Johor, Malaysia, Mohamed Wan Azlinda Wan ,   Faculty of Technical and Vocational Education, Universiti Tun Hussein Onn Malaysia, Batu Pahat, Johor, Malaysia
Published: January 2020

The unemployability among special education students with learning disabilities in Malaysia is seen to be alarming. Their skills often disputed by some of the community and are considered working inefficiently. Hence, this study is conducted to identify the employability skills among the learning disabilities students in Sekolah Menengah Pendidikan Khas (SMPK) Vokasional Indahpura. This quantitative study through a survey method involved 60 of the second year learning disabilities students of SMPK Vokasional Indahpura. A set of questionnaires was adapted from the Secretary's Commission on Achieving Necessary Skills (SCANS) and the General Self-Efficacy (GSE) scale to study the employability skills and self-efficacy were used as the instrument of this study. The data obtained are statistically analysed using frequency, mean, standard deviation, percentage, t-test, one-way ANOVA, and Pearson Coefficient through the Statistical Package for Social Science (SPSS) 19.0 version. The results have shown that students employability skills and self-efficacy level are moderate. There are significant differences in the students' employability skills in terms of courses attended. However, there were no significant differences in the students' employability skills in terms of career transition. The study has identified there is a strong positive relationship between students self-efficacy and employability skills. It is concluded that special education students with learning disabilities need to improve their employability skills by continuously engaging in the entrepreneurship program, community program, self quality enhancement courses as well as training at the relevant agencies to become a better person, competitive and able to serve the country
Design and Analysis of Multipliers using Radix-8 Booth Encoding Technique for Low Power and Area Consumption
Authors:   Student, Department of Electronics and Communication Engineering, Koneru Lakshmaiah Education Foundation, Vaddeswaram, AP, India., Sowmini* D.Chandrika , Lavanya A. ,   Student, Department of Electronics and Communication Engineering, Koneru Lakshmaiah Education Foundation, Vaddeswaram, AP, India., Sai D.Jagadeesh ,   Student, Department of Electronics and Communication Engineering, Koneru Lakshmaiah Education Foundation, Vaddeswaram, AP, India., Raja Dr.C. ,   Professor, Department of Electronics and Communication Engineering, Koneru Lakshmaiah Education Foundation, Vaddeswaram, AP, India., Aditya M. ,   Assistant Professor, Department of Electronics and Communication Engineering, Koneru Lakshmaiah Education Foundation, Vaddeswaram, AP, India.
Published: January 2020

As innovation scaling is arriving at its points of confinement, new methodologies have been proposed for computational efficiency. Different techniques have been proposed with advancements in technology to model high-speed along with low power consumption and smaller area multipliers. For the radix-4 booth propagation algorithm for low-power and low complexity applications, an efficient approximate 8 bit redundant multiplier is used. To minimize the complication present in modified booth encoder, approximate Booth RB encoders have been introduced by modifying the truth table with incorrect bits, which resulted in a reduction of the power delay product. Approximate computing is a relevant technique for low power and high performance circuits as used in error-tolerant applications. Approximate or inexact computing is an attractive design methodology for low power design but accomplished by loosening up the necessity of precision. It becomes critical to maintain full accuracy to attain reduced power utilization. In this paper, the design of approximate redundant binary (RB) multipliers is studied and modified to build less complex multiplier with Radix-8 modified booth encoding technique to reduce area and complexities of architectures.
Preprocessing the Groundwater Quality data by LSR and QDR techniques
Authors:   Ph.D Research Scholar, Department of Computer Science, D.G. Vaishnav College, Chennai, India., Rajamani* Arunkumar , Thambusamy Velmurugan ,   Associate Professor In The PG And Research Department of Computer Science and Applications, D. G. Vaishnav College, Chennai, India.
Published: January 2020

Data mining is the process of identifying patterns and their relationships to solve problems through data analysis. Data mining is utilized to haul out working information from a colossal dataset of any crude information. Environmental mining is one of the wide areas to find impact on environment. Data mining encourages the usage of essential strategies and finds noteworthy information from gigantic measure of environmental information. Data preprocessing techniques are very essential in data mining, which uses various techniques to convert the raw data into a meaningful data to further research work. In this research work, Logical Similarity Replacement (LSR) and Quantity based Discrepancy Replacement (QDR) algorithms are proposed to ascertain the quality of groundwater. The numerical information are preprocessed by the statistical techniques Mean, Median methods and non-numeric information are preprocessed by the proposed LSR and QDR methods to satisfy the fragmented and conflicting information in the dataset. The conflicting and the missing information are corrected by the picked strategies for preprocessing. In the wake of applying these preprocessing systems connected in the dataset, the nature of the informational index is improved.
The using Infrared Radiation on the Freeze-Drying of Cherry
Authors:   Tashkent Chemical-Technological Institute, Navai Street 32, Tashkent, Uzbekistan, Mamatov* Sherzod , Aripov Mirolim ,   Tashkent chemical-technological institute, Navai Street 32, Tashkent, Uzbekistan., Kadirov Ulug’bek ,   Tashkent Chemical-Technological Institute, Navai Street 32, Tashkent, Uzbekistan., Turabdjanov Sadriddin ,   Tashkent State Technical University named after Islam Karimov, Tashkent, Uzbekistan., Mannanov Ulug’bek ,   Tashkent State Technical University named after Islam Karimov, Tashkent, Uzbekistan.
Published: January 2020

In this work experimentally investigated the drying rate of Cherry on the freeze-dryer (FD) and FD with infrared pretreatment (IR), and compared the quality characteristics of the cherry after rehydration. Results of experimental studies was determined that, the use of IR pre-treatment on the FD was much more effective. The use of IR waves showed that the drying time of cherries with IR pre-treatment is shorter than without pre-treatment. Especially, the application of IR pretreatment before freeze-drying, allows you to get quality products, and provides to reduce energy consumption by 15-17%.
Numerical Solution of the Flow of the Upper Convicted Maxwell Fluid in Boundary Layer of Stretching Sheet in the Presence of MHD
Authors:   Institute of Aeronautical Engineering, Hyderabad, Telangana State, India., Goud* J. Suresh , Srilatha Pudhari ,   Institute of Aeronautical Engineering, Hyderabad, Telangana State, India., Sivaiah R. ,   NBKR Institute of science and Technology, SPSR Nellor, Andhra Pradesh State, India.
Published: January 2020

In this study, the solution of the upper limit of Maxwell liquid flow in the boundary layer stretch Sheet MHD side extension with integrated bvp5c digital solution from MATLAB. An approximate solution has been derived for suction velocity, and injection velocity, skin friction. Use the graph to discuss the results obtained to track the impact of different flow parameters.
Feature-Based Stereo Vision Relative Positioning Strategy for Formation Control of Unmanned Aerial Vehicles
Authors:   Department of Aerospace Engineering, Faculty of Engineering, Universiti Putra Malaysia, Serdang, Selangor, Malaysia., Yaghoobi Yousef , Bahiki Muhammad Rijaluddin ,   Department of Aerospace Engineering, Faculty of Engineering, Universiti Putra Malaysia, Serdang, Selangor, Malaysia., Azrad* Syaril ,   Department of Aerospace Engineering, Faculty of Engineering, Universiti Putra Malaysia, Serdang, Selangor, Malaysia.
Published: January 2020

As inspired by birds flying in flocks, their vision is one of the most critical components to enable them to respond to their neighbor’s motion. In this paper, a novel approach in developing a Vision System as the primary sensor for relative positioning in flight formation of a Leader-Follower scenario is introduced. To use the system in real-time and on-board of the unmanned aerial vehicles (UAVs) with up to 1.5 kilograms of payload capacity, few computing platforms are reviewed and evaluated. The study shows that the NVIDIA Jetson TX1 is the most suited platform for this project. In addition, several different techniques and approaches for developing the algorithm is discussed as well. As per system requirements and conducted study, the algorithm that is developed for this Vision System is based on Tracking and On-Line Machine Learning approach. Flight test has been performed to check the accuracy and reliability of the system, and the results indicate the minimum accuracy of 83% of the vision system against ground truth data.
Modulation Techniques of Free Space Optics using Various Link Ranges
Authors:   Department of ECE, KLEF, Vaddeswaram, AP, India., Kalyan* S.S.S , Philip B. John ,   Department of ECE, KLEF, Vaddeswaram, AP, India., Rajesh P.M.V.S ,   Department of ECE, KLEF, Vaddeswaram, AP, India., Poojitha A. ,   Department of ECE, KLEF, Vaddeswaram, AP, India., Muhammad Khalid ,   Department of ECE, KLEF, Vaddeswaram, AP, India.
Published: January 2020

Free space optics is the present trend, which enables the communication to achieve the expected data rates for the increasing user demands. The utility of FSO in free space medium enables higher data rates than the conventional microwave links for efficient communication. Several researchers have performed the analysis of free space optics by use of different modulation techniques and optimization of the link budget in free space optical links. In this work, CW laser transmitting source ranging to 10dB of output level, link ranges of 500, 1000 and 1500 mts with attenuation values of 0.2, 0.7 and 0.9 dB/Km respectively are considered. The analysis of free space optics is carried out by using various modulation techniques such as ASK, PSK, FSK, MZ, EA, Dual Drive MZ and it is observed that Dual Drive MZ modulation performs well when compared with the other modulation techniques.