bluuebunny/crossref_metadata_2025 huggingface dataset:
Design and implementation of Fuzzy-PID Controller with Derivative Filter for AGC of two-area interconnected Hybrid Power System
Authors:   Department of Electrical Engineering, ITER, SOA University, Bhubansewar, Odisha, India, Sahu Bindod Kumar , Mohanty Pradeep Kumar ,   Department of Electrical Engineering, ITER, SOA University, Bhubansewar, Odisha, India.
Published: August 2019

The huge band variation in wind speed causes unpredictable swing in power generation and hence large divergence in system frequency leading to unpredictable situation for standalone applications. To overcome the above difficulties, WTG (wind turbine generator) is integrated with conventional thermal power system along with other distributed generation units such as FC (fuel cell), DEG (diesel engine generator), AE (aqua-electrolyser) and BESS (battery energy storage system) which form a hybrid power system. This paper concerns with automatic generation control (AGC) of an interconnected two area hybrid power system as mentioned above. Design and implementation of suitable controllers for AGC of above hybrid power system is a challenging job for operational and design engineers. Various control schemes proposed in this paper are conventional PID & PID controller with derivative filter (PIDF) and fuzzy-PID controller without (fuzzy-PID) and with derivative filter (fuzzy-PIDF) to achieve improved performance of AGC system in terms of frequency profile. The values of gain parameters of proposed controllers are designed using hybrid LUS-TLBO (Local Unimodal Sampling-Teaching Learning Based Optimization) algorithm. Superiority of fuzzy-PIDF controller over other proposed controllers are addressed. Robustness study of proposed fuzzy-PIDF controller is thoroughly demonstrated with change in system parameters and loading pattern. The work is further extended to analyze the transient phenomena of the AGC for a 3-area interconnected system having nonlinearities such as reheat turbine, governor dead band along with generation rate constraint for the thermal generating units.
Three-Phase Symmetric Cascading Z-Source Seven Levels Multilevel Inverter Excited by Multi Carrier Sinusoidal Pulse Width Modulation Scheme
Authors:   Department of Electrical and Electronics Engineering, Bharath University, Chennai, India, Sharma Rajnish Kumar , Irusapparajan G. ,   Department of Electrical and Electronics Engineering, Mailam Engineering College, Mailam, India, Periyaazhagar D. ,   Department of Electrical and Electronics Engineering, Krishnasamy College of Engineering and Technology, Cuddalore, India
Published: August 2019

The Multilevel Z sources Inverter have been documented as attractive topologies used for elevated voltage adaptation. As the digit of levels improved, the synthesized set of steps output waveform have many ladder, imminent the preferred sine waveform but the major weakness of MLI be its amplitude of ac output voltage is imperfect to DC input sources voltage summing up. To conquer this drawback seven level cascading symmetric multilevel inverter based Z source inverter have been projected. This work focuses on different multi-carrier sinusoidal PWM scheme for the seven level three phase Z source symmetric cascading inverter. Performance parameters of seven level three phase Z source symmetric cascading inverter has been analyzed. A simulation circuit model of seven level three phase Z source symmetric cascading inverter urbanized using MATLAB/SIMULINK and its presentation have been urbanized.
A Secured Data Retrieval Architecture for WBAN using Elliptic Curve Digital Signature
Authors:   Research Scholar, Dr. M.G.R. Educational and Research Institute, Bharathi M.J. , Rajavarman V.N. ,   Professor & Deputy Dean , Dr. M.G.R. Educational and Research Institute, Shobarani R. ,   Professor, Dr. M.G.R. Educational and Research Institute
Published: August 2019

The big data is proposed a secure scheme of data collection that to deal the problems in WBAN (Wireless Body Area Network). To start with to register the sensor nodes using CA (Certification Authority) connect the Network of Big data center. After the preprocessing stage, the sensors are correlated with big data center through authentication on both sides by ECDSA (Elliptic Curve Digital Signature Algorithm). The sensor node designed using distributed storage and the collected data transfer with improved security protection.
Experimental Analysis for Semantic based Large Scale Service Composition using Deep Learning
Authors:   Research Scholar, Sathyabama Institute of Science and Technology, Chennai-600 119, India, Gini.A Jackulin Sam , Chandrasekar A. ,   Professor& Head, Department of CSE, St.Joseph’s College of Engineering, Old Mamallapuram Road, Chennai-600 119, India
Published: August 2019

In Service Oriented Architecture (SOA) web services plays important role. Web services are web application components that can be published, found, and used on the Web. Also machine-to-machine communication over a network can be achieved through web services. Cloud computing and distributed computing brings lot of web services into WWW. Web service composition is the process of combing two or more web services to together to satisfy the user requirements. Tremendous increase in the number of services and the complexity in user requirement specification make web service composition as challenging task. The automated service composition is a technique in which Web Service Composition can be done automatically with minimal or no human intervention. In this paper we propose a approach of web service composition methods for large scale environment by considering the QoS Parameters. We have used stacked autoencoders to learn features of web services. Recurrent Neural Network (RNN) leverages uses the learned features to predict the new composition. Experiment results show the efficiency and scalability. Use of deep learning algorithm in web service composition, leads to high success rate and less computational cost.
Solving Real-Life Problem Using Transportation
Authors:   Assistant Professor, Department of Mathematics. St. Peter’s College of Engineering and Technology, Chennai, India, Seethalakshmy A. , Srinivasan N. ,   Professor, Department of Mathematics, St.Peter’s Institute of Higher Education and Research, Chennai, India.
Published: August 2019

Herewith a methodology is proposed towards obtaining optimum level as solution for the real-life problem using Transportation. This paper is composed for a travel agency company to get maximum profit and also to minimize the transportation cost. In the proposed method maximum value is marked both in row-wise and column-wise for maximization type and minimum valueis marked both in row-wise and column-wise for minimization type and the greatest maximum value is given allocation. Here a New algorithm is used to solve the transportation model to make maximum profit for the Company. This method gives the optimal solution in less iteration.
Design of High-Speed Desensitized FIR Filter Employing Reduced Complexity SQRT Carry Select Adder
Authors:   Research Scholar, Electrical Engineering Department, Annamalai University, Chidambaram, India, Manivannan K. , Lakshminarasimman L. ,   Associate Professor, Electrical Engineering Department, Annamalai University, Chidambaram, India, Rani M.Janaki ,   Professor, Electronics and Communication Engineering Department, Dr.M.G.R.Educational and Research Institute, Chennai, India
Published: August 2019

In this research, a highly efficient desensitized FIR filter is designed to enhance the performance of digital filtering operation. With regard to FIR filter design, Multiplication and Accumulation component (MAC) forms the core processing entity. Half-band filters employing Ripple Carry Adder (RCA) based MAC structures have a sizeable number of logical elements, leading to high delay and high power consumption. To minimize these issues, a modified Booth multiplier encompassing SQRT Carry Select Adder (CSLA) based MAC component is proposed for the desensitized filter with reduced coefficients and employing lesser number of logical elements forgiving optimum performance with respect to delay and power consumption. The suggested FIR filter is simulated and assessed using EDA simulation tools from Modelsim 6.3c and Xilinx ISE. The results obtained from the proposed Desensitized FIR filter employing the modified booth multiplier with reduced complexity based SQRT CSLA show encouraging signs with respect to 12.08% reduction in delay and 2.2% reduction in power consumption when compared with traditional RCA based digital FIR filter.
Design and Fabrication of Electric Vehicle for Physically Challenged Person
Authors:   Department of Electrical and Electronics Engineering, Dr.N.G.P. Institute of Technology, Coimbatore, India., Kumar K. Ramash , Aswin K. ,   U.G. Scholar, Department of Electrical and Electronics Engineering, Karpagam College of Engineering, Coimbatore, India., Hariharan S. ,   U.G. Scholar, Department of Electrical and Electronics Engineering, Karpagam College of Engineering, Coimbatore, India., Rilwan S. Mohamed ,   U.G. Scholar, Department of Electrical and Electronics Engineering, Karpagam College of Engineering, Coimbatore, India., Poonkundran Tamil ,   U.G. Scholar, Department of Electrical and Electronics Engineering, Karpagam College of Engineering, Coimbatore, India., Vinothni A. ,   U.G. Scholar, Department of Electrical and Electronics Engineering, Karpagam College of Engineering, Coimbatore, India., Karmugil V. ,   U.G. Scholar, Department of Electrical and Electronics Engineering, Karpagam College of Engineering, Coimbatore, India., Narentheran K. ,   U.G. Scholar, Department of Electrical and Electronics Engineering, Karpagam College of Engineering, Coimbatore, India., Naveen j L. ,   U.G. Scholar, Department of Electrical and Electronics Engineering, Karpagam College of Engineering, Coimbatore, India, Yuvaraj N. ,   U.G. Scholar, Department of Electrical and Electronics Engineering, Karpagam College of Engineering, Coimbatore, India, Tamilselvan V. ,   Research Scholar, Department of Electrical and Electronics Engineering, Anna University, India.
Published: August 2019

This article studies on a design and fabrication of Electric Vehicle (EV) for physically challenged person. In current scenario, a physically challenged person has facing a problem of transportation during their travel from one place to another place without safety and convenience. They find it difficult to react to situation in front of them. In order to solve these problems, an Electric Vehicle (EV) is designed where they can travel easily and safely. The major components of EV consist of battery, electronic commutator with control unit, BLDC motor and mechanical structure. The main merits of developed EV has no pollution, no fuel cost, less weight, modified mechanical structure, high pulling capacity, comfortable spacing for person travel, easy maintenance, less number components in comparison with existing EV. The gross weight of designed vehicle with load (person) has 300 kg (approximately). The performance of the developed EV is validated at different running conditions for monitoring the battery back-up and time durations.
Performance of Fuzzy Rough Sets and Fuzzy Evolutionary Classifiers using Medical Databases
Authors:   Asst. Professor, Department of Mathematics, SRM University, Ramapuram Campus, Chennai, India, Poongothai S. , Dharuman C. ,   Professor, Department of Mathematics, SRM University, Ramapuram Campus, Chennai, India, Venkatesan P. ,   Faculty of Research, Sri Ramachandra University, Chennai, India
Published: August 2019

As the technology improving, the problems of mankind, regarding health issues also increasing day by day. Nowadays high dimensionality data are available for various health problems which is very difficult to handle manually. The aim of this paper is to construct algorithms for extracting the relevant information from the large amount of data and classifying using various hybrid techniques like Fuzzy-Rough set and Fuzzy Evolutionary Algorithms. The efficiency of Fuzzy classifiers has been improved by hybridization method. This paper proposes a comparison of fuzzy hybrid techniques like Fuzzy Rough set and Fuzzy EA for the diagnosis of Hepatitis taken from UCI repository. The results of comparison and classification shows that the proposed technique performs better than other normal methods.
Manufacturing and Research of Mechanical Properties of Natural Grit Reinforced Hybrid Polymer Composites
Authors:   Department of Engineering, Faculty of Engineering Science and Technology, The Maldives National University, Rahdhebai Higun, Machangolhi, Maldives., Logendran D. , Aravindan M.K. ,   Department of Mechanical Engineering, School of Engineering and Technology, Jain (Deemed To Be University), Bangalore, Karnataka, India., Andrews A. Abraham Eben ,   Department of Mechanical Engineering, Hindustan Institute of Technology and Science, Chennai, Tamil Nadu, India.
Published: August 2019

The fundamental goal of this postulation is to craft and explore mechanical properties of Cotton regular grit strengthened polymer compounds and half and half (Cotton + Flax + Coconut) characteristic grit fortified polymer compounds. Half and half compounds is generated by including 35% of Cotton, 35% of Flax and 30% of Coconut grit. Mechanical possessions, for example, Tensile possessions (rigidity, malleable), Flexural possessions, Impact excellence when visible to shifting loads of grit (0.4 grams) were resolved.
Voice Recognition System Through Machine Learning
Authors:   Department of Computer Science and Engineering,, Godavari Institute of Engineering and Technology, Rajamahendravaram, Andhra Pradesh, India, B Sindhu. , Sujatha Dr B ,   Department of Computer Science and Engineering,, Godavari Institute of Engineering and Technology, Rajamahendravaram, Andhra Pradesh, India
Published: August 2019

Human voice recognition by computers has been ever developing area since 1952. It is challenging task for a computer to understand and act according to human voice rather than to commands or programs. The reason is that no two human’s voice or style or pitch will be similar and every word is not pronounced by everyone in a similar fashion. Background noises and disturbances may confuse the system. The voice or accent of the same person may change according to the user’s mood, situation, time etc. despite of all these challenges, voice recognition and speech to text conversion has reached a successful stage. Voice processing technology deserves still more research. As a tip of iceberg of this research we contribute our work on this are and we propose a new method i.e., VRSML (Voice Recognition System through Machine Learning) mainly focuses on Speech to text conversion, then analyzing the text extracted from speech in the form of tokens through Machine Learning. After analyzing the derived text, reports are created in textual as well graphical format to represent the vocabulary levels used in that speech. As Supervised learning algorithm from Machine Learning is employed to classify the tokens derived from text, the reports will be more accurate and will be generated faster.
A Light Weight Cryptographic Technique for Secure Outsourcing and Retrieval of Data in Cloud Computing
Authors:   Assistant Professor in Computer Science, Department of Computer Science, University Campus College, Kakatiya, Ramesh D. , RAMA Dr. B. ,   Thirupathi, India in theyear of 2009. She is working as Assistant Professor in Computer Science at Department of Computer Science, University Campus College, Kakatiya
Published: August 2019

Outsourcing large volumes of data to public cloud has the potential benefits to consumers. It also brings security issues as the cloud is treated as untrusted from the user point of view. Security issues may arise due to many reasons such as virtualization, resource pooling, elasticity, hidden hardware problems besides internal and external attacks launched by adversaries. Service Level Agreements (SLAs) between Cloud Service Provider (CSP) and cloud consumer are to be honoured for better social welfare. Therefore, it is indispensable to have mechanisms to ensure security to outsourced data when it is at rest and when it is in transit as well. Towards this end, many solutions came as found in the literature. However, most of the cryptographic methods employed were expensive. It is still an open challenge to develop light weight cryptographic methods for secure storage and retrieval or search for outsourced encrypted data. In this paper we proposed a methodology for light weight encryption which proved to be effective and suitable for cloud computing environments. An algorithm named Hybrid Lightweight Data Encryption (HLDE) is proposed and implemented. Empirical study is made on the same to validate our approach. The experimental results revealed that the proposed method is better than the state of the art in terms of high performance and strong security to outsourced data in cloud computing.
Design Analysis and Implementation of a Three Phase Seven Level PV & Wind based Microgrid
Authors:   Department of EEE, Koneru Lakshmaiah Education Foundation, Vaddeswaram, A.P, India., Dukkipati Sudha , Marthanda A V G A ,   Department of EEE, Lakireddy Balireddy College of Engineering, Mylavaram, A.P, India., Rajasekhar G G ,   Department of EEE, Koneru Lakshmaiah Education Foundation, Vaddeswaram, A.P, India., Kumar Malligunta Kiran ,   Department of EEE, Koneru Lakshmaiah Education Foundation, Vaddeswaram, A.P, India.
Published: August 2019

This paper proposes an “arrangement of converters for the incorporation of a huge photovoltaic (PV) plant with an utility AC lattice. “The framework involves a focal seven-level voltage-bolstered inverter (VFI) and a substantial number of PV modules with module-incorporated DC-DC converter. The seven-level VFI comprises of three-stage, three-level VFI units associated in parallel on the AC-side. This paper additionally proposes another sun based power age framework, which is made out of a DC/DC and DC/AC control converter and another seven-level inverter”. This new seven-level inverter is arranged utilizing a capacitor choice circuit and a full-connect control converter, associated in course. Seven dimension changes over sustained with PV modules give a practical answer for moderating consonant related issues brought about by diode or thyristor rectifier front-closes. To deal with the huge remuneration flows and give better warm administration, at least two paralleled semiconductor exchanging gadgets can be utilized. The proposed PV based seven dimension topology can likewise create seven voltage levels, which fundamentally diminishes the exchanging current swell and the measure of inactive components.The execution of the proposed power converters framework is considered utilizing MATLAB/Simulink.
Predicting Breast Cancer using Modern Data Science Methodology
Authors:   Department of CSE, Koneru Lakshmaiah Education Foundation, Vaddeswaram (A.P), India., Botcha Vinoothna Manohar , Kolla Bhanu Prakash ,   Department of CSE, Koneru Lakshmaiah Education Foundation, Vaddeswaram (A.P), India.
Published: August 2019

Breast Cancer is the mass occurring cancer in women according to the World Health Organization(WHO), But the early prediction of breast cancer helps in the recovery for the effected one's. Reasons for breast cancer were Hormone replacement therapy or getting explore to harmful radioactive rays and due to late childbearing. The aim is to diagnose cancer by using a machine learning technique, Random Forest, for accurate solutions. The dataset we used is the Wisconsin Breast Cancer dataset. The output which the error rate was only about "0.0177".
Major Determinants of Profitability on Banking Industry (An Empirical Research)
Authors:   Department of Commerce, Koneru Lakshmaiah Education Foundation, Vaddeswaram, A. P, India., Subrahmanyam K S L N S , Murthy Dr A V N ,   Department of Commerce, Koneru Lakshmaiah Education Foundation, Vaddeswaram, A. P, India.
Published: August 2019

Banking industry is a backbone of any country including developed, developing and under developed countries. The prosperity of a country depends upon all important sectors that are responsible for promoting trade, industry, agriculture and commerce. In other words it can be said that the banking industry’s a key player of and country. Today, the meaning of banking has gone beyond the basic function of receiving deposits and lending advances. Banks promote good Indian as well as foreign trade. The basic objective of this research is to assess impact of important determinant on the financial performance and profitability. Since, the term research is limit less the focus is being reduced to a few selected private sector banks to know that they are playing a crucial role in determining important factors on the financial performance and profitability of the said banks during the period of 2014 to 2017. The period was selected because the new Government during the period took important decisions on demonetization and goods and services tax Act.
Performance Estimation of 111kWp Grid Interactive Solar PV Power Plant at Integral University
Authors:   Department of ECE, Integral University, Lucknow, India., Kanoujiya Pankaj Kumar , Charan Piyush ,   Department of ECE, Integral University, Lucknow, India., Usmani Tahsin ,   Department of ECE, Integral University, Lucknow, India., Khan Zohaib Hasan ,   Department of ECE, Integral University, Lucknow, India.
Published: August 2019

Solar Photovoltaic (SPV) is a novel technology to harvest solar energy as and when we talk about replacing the conventional grid electricity. The degree of development of a country is measured by the amount of energy used by humans. Energy demand is increasing due to population, urbanization and industrialization. As a result conventional electricity needs to be replaced with non conventional energy resources so as to save the environment from pollution due to increased number of unwanted gases and dust particles in the air. Harmful gases like COx and SO2 in the environment are affecting the Air Quality Index (AQI) and making it difficult for humans to breathe. Solar Energy is a clean and green solution to improve the AQI of the earth. In this research we study and analyze the performance of a grid interactive SPV plant installed at Academic Block-II, Integral University. In this regard, we measure the performance ratio for 4 (four) months. The effect of shading on the PV panel is reviewed due to deposition of dust particles and bird feces.
An Efficient Gesture Recognition with ABC-ANN Classification and Key-Point Features Extraction for Hand Images
Authors:   Dept. of CSE, Sachdeva Engineering College for Girls, Gharuan, Mohali, India, Kaur Satinderdeep , Bhatla Er. Nidhi ,   Dept. of CSE, Sachdeva Engineering College for Girls, Gharuan, Mohali, India
Published: August 2019

With the advent of an electronic device in humanization, there has been various usage of easing human-computer interface. However, novel methods and techniques have been developed for boosting the HCI interface. In the world of technology, including gestures in the human-computer interface, become a crucial exploration field. The gesture has become a communication approach with the computer interface and users. Hand Gesture works as a natural boundary for serving as an inspiring strength for investigating gesture classifications. The hand gesture is used in a wide variety of applications like as recognition technology, controlling of system, computer system, electronic device, home appliances, flying equipment controlling, and so forth. The hand gesture is described as the production of the motion or the gestures by hands; it determines the expression through a signature pattern that leads to the interface between the system and individuals. However, hand gesture plays the main role in the establishment of the novel human and system interface. In this research, a classification technique with ABC –ANN is developed to enhance the detection rate and the SIFT algorithm has been implemented to extract features of hand images. Features are described as - i) Assignment (ii) Localization (iii) Orientation and (iv) SIFT key-points. The extraction of features is done through the key point format. Along with that, classification and selection of the specific features of gesture image acquired based on categories. Experimental analysis is done based on parameter metrics (testing rate, validation rate, recognition rate) to improve the detection rate.
Power Quality Improvement in a Grid Coupled Solar PV System using Grey Wolf Optimization
Authors:   Department of Electrical Engineering, School of Engineering and Technology, Poornima University, Jaipur, India., Gupta Manoj , Gakhar Pankaj ,   Department of Electrical Engineering, School of Engineering and Technology, Poornima University, Jaipur, India.
Published: August 2019

Since the PV penetration in the utility grid is increasing rapidly, there is a need of a control strategy for the purpose of energy optimization and for providing clean and green electric power to the utility grid. In this paper, a dynamic technique is proposed employing a Fractional Order PI controller tuned using Grey Wolf Optimization Technique. The strategy provides the independent control active as well as reactive power being injected into the grid. A complete investigation on performance analysis and THD levels at different solar irradiation value were conducted on MATLAB/SIMULINK software. The efficacy of the work is validated by comparing the results obtained by using Grey Wolf Optimization with permissible IEEE standards and the observations proves the power quality improvement by reducing the THD i.e. Total Harmonic Distortion levels.
Femone Health Monitoring System
Authors:   Electronics and Communication Engineering, Sarabhai Institute of Science and Technology, Trivandrum, India., M Minoshma , Jayamohan Sanil ,   Electronics and Communication Engineering, Sarabhai Institute of Science and Technology, Trivandrum, India., Sharon Namitha ,   Electronics and Communication Engineering, Sarabhai Institute of Science and Technology, Trivandrum, India.
Published: August 2019

As per the medical reports, each year 4 million newborns die within 28 days of birth and more suffer from disabilities, diseases, infections, and injuries. According to 2017 death rate, about 8,02,000 neonatal deaths are reported in India. The inability to detect any discomforts/criticalness that the babies can go through in the initial stages of life can lead to permanent disabilities/disorders and even death. The absolutely imperative approach to shrunken the mortality rate is to detect neonatal criticalness and give timely attention. Enabling an environment for newborn safety depends on the availability of adequate health-care facilities, equipment’s, medicines and emergency care when needed. Femone Health Monitoring System is developed with an aim to detect the difficulties faced by the babies and make it available to the user as well as doctors for easy diagnosis and treatment. The proposed technique is a wireless noninvasive system which monitors the vital physiological parameters of neonates including heart rate, oxygen level, body temperature, and wetness. Heart rate, oxygen level and body temperature are measured using the principle of photoplethysmography (PPG). The measured parameters are sent to an MQTT server and are published through the Femone app in real-time. The system also records the neonatal conditions in a day to day manner for future reference. A number of clinical trials were conducted in order to check the performance and for validation.
Augmentation of Compressive Strength of Bricks Made of Various Materials by Adding Molten Plastic waste
Authors:   Department of Civil Engineering, Faculty of SoS, E&T, GGV, Central University, Bilaspur, Chhattisgarh., India, Parashar Ashish Kumar
Published: August 2019

Today, the world is facing a huge threat due to solid wastes. The most dangerous material identified, among all types of waste is, Plastic. From UN report, every year the globe uses 500 billion plastic bags while, half of the plastic utilized is of single use only. In India, 70 percent of total plastic used is discarded as a waste. Around, 9.47 million tonnes per annum (TPA) of plastic waste is generated in the country, which is about 25940 tonnes per day (TPD). The 70 percent of the world’s plastic mass eventually sinks in ocean, damaging life on the seabed. Considering the present state of affairs worldwide, the recent research is focused on, how the waste material like plastic can be utilized, for making bricks and enhanced its compressive strength. Thus the ultimate goal of this study is, to create a positive social, economic and environmental impact, using molten plastic waste, while also remaining profitable and viable as business. An attempt was made to study the characteristics of bricks made of Sand, Moorum, Quarry dust and Iron chips with varying volume of Plastic as 20%, 25%, 30% and 35%. A step by step procedure is adopted to perform various Indian Standard code recommended important tests on the above stated plastic bricks (varying percentage). The compressive strength and water absorption capacity of bricks made with above stated % of plastic was determined. The study concludes and highlighting the fact that, the bricks having 30% plastic with 70% Moorum gives maximum compressive strength and for bricks 35% of plastic with 65% Sand give minimum compressive strength in 7 days. The study also indicates that, as the percentage of plastic increases, water absorption capacity of bricks decreases. The bricks made from plastic were susceptible against temperature so it used for construction in the cold region.
Estimation of Injection Molding Process for a Thin Fresnel lens By Plastic Flow Simulation
Authors:   Manufacturing Technology, NITTTR Chandigarh, India, kumar Atish , Garg Harry ,   Principal Scientist, Optical Devices and Systems, CSIO-CSIR Chandigarh, India, Pabla B.S. ,   Professor, Manufacturing Technology, NITTTR Chandigarh, India.
Published: August 2019

This paper is based on the plastic flow simulation of a thin Fresnel lens to estimate the injection molding process. Nowadays Fresnel lenses are made of transparent plastics materials instead of silica-based glass to reduce handling and processing cost. For mass manufacturing of plastic parts, the injection molding process is best suited. Thus in this study plastic flow analysis of a thin Fresnel lens is carried for the evaluation of injection molding process. Plastic flow analysis helps in estimating how molten plastic will flow during the process Plastic flow analysis is also very helpful in evaluating the manufacturing defects such as air traps and weld lines without real-time experimentation. The simulation results evaluate the values of the parameters such as fill time, filing pressure, pack pressure, etc. Also, the manufacturing defects observed by the simulation results are reasonable and met the design requirement.
Mechanical and Durability Properties of Fibre Reinforced Concrete made with OPC, GGBS and Metakaolin
Authors:   Depertment of civil engineering, Gokaraaju Rangaraju institute of engineering and technology, Hyderabad, India,, Sanjeev Dr. N. , Reddy T. Sampath Kumar ,   Department of civil engineering, Gokaraaju Rangaraju institute of engineering and technology, Hyderabad, India,
Published: August 2019

Concrete is a globally utilized material in the construction field. In the last few decades, Concrete consumption has become multifold and usage has enhanced in massive scale due to the rapid growth of infra sector. Generally, Concrete consists of cement, aggregate, and water; these ingredients become more expensive day by day and additionally hard to please and is increasing widely. During the process of making Ordinary Portland Cement(OPC) produces a large amount of greenhouse gases and the environment being polluted. To minimize the cement utilization and environmental issues is essential to switch the cement by another alternate materials such as pozzolanas. The various number of pozzolanic materials comes from industrial wastes are Groundz Granulatedz Blastz furnacez Slagz (GGBS), xFlyqAsh (FA), zSilicazFume (SF), Metakaolin (MK) etc are utilized in concrete. Similarly, the availability of river sand is getting drained furthermore it turns out troublesome. In order to avoid this problem river sand is alter by zManufacturedkSand (M Sand). An attempt is made in the present investigation to study on properties of fiber reinforced concrete (qsteelu fibers @ 1% of binder) of M40 grade made with OPC, GGBS, MK and manufactured sand. In this study, OPC is replaced by GGBS and MK in different proportions. By casting requisite number of cubes, cylinders then zMechanical properties are determined such as fCompressivekstrength,sSplitdtensile strength tests and durability properties are determined by conducting Water absorption and Sorptivity tests. Test results are compared between controlled concrete and innovative concrete of M40 grade.It is observed that 30%(15%GGBS,15%MK) replacement is optimum for strength and durability criteria.
Investment Decisions, Herd Behaviour and Retail Investors
Authors:   School of Management, SRM Institute of Science and Technology, Chennai, India., Devadas Madhavan , Vijayakumar Dt.T. ,   School of Management, SRM Institute of Science and Technology, Chennai, India.
Published: August 2019

Behavioral finance explains that cognitive biases influences investor decision making. Due to the influence of different behavioral biases investors do tend to make irrational decisions. Behavioral finance has highlighted the failure of traditional finance theories to account for human emotions when making investment decisions. While traditional finance theories disregard human element in decision-making, behavioral finance theories take into account the human phycology while explaining theories. Many studies have found and explained many biases that are exhibited by investors which lead to irrational investment decision making on their part. One among the many the biases herding can be considered among the most important behavior which leads to low quality investment decisions by investors. While compared to studies about herd behavior of institutional investors, the studies about individual retail investors in less. The motive behind this study is to clarify the role of demographic factors and psychological factors that influence herd behavior among individual investors. In this study the impact of demographics and psychological factors on herd behavior was studied. For this survey, primary data was collected using Judgment sampling technique and the results analyzed. Retail investors in Chennai exhibited herd behavior with regard to investment decisions. Eight factors were found to influence herd behavior.
Generation of Synthetic Design Storm Hyetograph and Hydrologic Modeling under HEC HMS for Ziz Watershed
Authors:   Mohammadia School of Engineers, University Mohammed V,Rabat-Morocco., Elhassnaoui Ismail , Moumen Zineb ,   Department of Geo-resources and Environment, University of Sidi Mohammed Ben Abdellah / Faculty of sciences and technologies, Fez, Morocco., Bouziane Ahmed ,   Mohammadia School of Engineers, University Mohammed V,Rabat-Morocco., Ouazar Driss ,   Mohammadia School of Engineers, University Mohammed V,Rabat-Morocco., Hasnaoui Moulay Driss ,   Water resource departement, the Ministry Delegate to the Ministry of Energy-Rabat Morocco
Published: August 2019

This article proposes a methodology for generating hourly rainfall from daily rainfall data. It was evolved as a tool for managing flood risks on Ziz catchment, by means of Intensity-duration-frequency curves (IDF) and designed hyetograph of Chicago. The study area is located in the south-eastern part of Morocco, and did not have a monitoring station for hourly rain measure, the methodomogy consist of determinating the rainfall intensity for 24 h using IDF, then estimating the hourly rainfall using Chicago formula, in order to assess the accuracy of the method the resulting hyetographs was introduced into the semi-distributed hydrological model HEC HMS to simulate hourly flow, which was compared to the observed one. The obtaining results exhibit that the observed value is positively correlated with those obtained by the above method, as shown by the correlation coefficient and the Nash-Sutcliffe. This approach can deal with instantaneous water management issues by tackling flood risks and providing an appropriate range of data for the dam’s management.
Detection and Prevention of De-authentication Attack in Real-time Scenario
Authors:   Department of Computer Science and Engineering, NITTTR, Chandigarh, India., Sharma Shweta , Mittal Meenakshi ,   Department of Computer Science and Technology, Central University of Punjab, Bathinda, India.
Published: August 2019

Wireless Local Area Network (WLAN) is an infrastructure network in which nodes are connected to a centralized system to provide Internet access to mobile users by radio waves. But WLANs are vulnerable to Medium Access Control (MAC) layer Denial of Service (DoS) attacks due to the susceptibility of the management frames. An attacker can spoof the MAC address of the legitimate client and perform de-authentication attack to disconnect WLANs users from the access point. Many free tools are available in Kali Linux Operating System (OS) by which this attack can be performed and cause a security threat to WLAN users. The consequences of de-authentication DoS attack are frequent disconnection from Internet, traffic redirection, man-in-the-middle attack, and congestion. Despite enormous efforts in combating de-authentication DoS attack in the past decade, this attack is still a serious threat to the security of the cyber world. Medium Access Control Spoof Detection and Prevention (MAC SDP) DoS algorithm performs detection and prevention of de-authentication attack caused by spoofing MAC address. This algorithm is modified to make it more immune to the de-authentication attack and implemented in real-time scenario. The results show that the proposed technique increases the packet flow rate by 20.36%, reduces the packet loss by 95.71%, and reduces the down time and recovery time by 0.39 sec and 0.9 sec respectively as compared to MAC SDP DoS algorithm.
Long Channel Keeper based Open Loop Difference Amplifier Domino for Noise Tolerant Low Power OR Gates
Authors:   Electronics and Communication Department, MANIT Bhopal, M.P., India., Tiwari Manish , Chaurasia Vijayshri ,   Electronics and Communication department, MANIT Bhopal, M.P., India.
Published: August 2019

This paper proposes an open loop difference amplifier with long channel keeper technique for domino logic circuits implemented as wide fan in OR gate. Currently OR gates suffer from high capacitive loading and delays due to such loading. The proposed design uses single stage of comparison and dual keeper arrangement to generate and hold the output logic state. This technique effectively reduces the high input loading from capacitance and manages the power consumption by switching based on the generated difference voltage. As compared to standard footerless domino SFLD, the proposed design OLDA has shown to reduce power consumption by 42% in 64 bit configuration. It has increased average noise immunity by 2.03 times, while maintaining same speed as compared to SFLD. All simulations are done in CMOS technology with 90nm PTM LP models.
Multi-Phase Digital Authentication of e-Certificate with Secure Concealment of Multiple Secret Copyright Signatures
Authors:   Department of Computer Science and Engineering, Government College of Engineering & Ceramic Technology, Kolkata, India, Chowdhury Soumit , Mistry Sontu ,   Department of Computer Science and Engineering, Government College of Engineering & Ceramic Technology, Kolkata, India., Ghoshal Nabin ,   Department of Engineering & Technological Studies (DETS), University of Kalyani, West Bengal, India.
Published: August 2019

The work suggests a unique data security protocol for trusted online validation of e-documents like university certificates to confirm its credibility on different aspects. The idea reliably validates such e-documents from both the issuing authority and incumbent perspectives by strongly complying the security challenges like authentication, confidentiality, integrity and non-repudiations. At the very beginning, the parent institute physically issues the client copyright signature to the incumbent and stores this signature and biometric fingerprint of the incumbent on the server database. Additionally, the server secretly fabricates ownership signatures of parent institute and concern officer both within the e-document and this certified e-document is kept on the server database. Importantly, these signature fabrications are governed by self-defined hash computations on incumbent registration and certificate number respectively. Next, the server transmits this signed e-document to the client after a successful login by the client. Now client conceals shared copyright signature and taken thumb impression of the incumbent separately within this received e-document. Critically, these client-side signature castings are employed through self-defined hash computations on the incumbent name and obtained marks respectively. Finally, this authenticated e-document is validated at the server end by sensing all authentic signatures from it through those same identical hash operations. For stronger authenticity each signature is concealed by tracing its valid or authentic circular orientation of fragment sequences and embedding locations both derived from respective hash operations. Also, each signature is dispersed in non-overlapping manners on each separate region of the e-document promoting better signature recovery. Additional robustness is further injected with variable encoding of signature bits on different transformed pixel byte components of the e-Certificate image. Overall, the scheme confirms significant performance enhancements over exiting approaches with exhaustive simulation results on image data hiding aspects and their standardized comparisons
Privacy Preserving Using Extended Euclidean Algorithm Applied To RSA-Homomorphic Encryption Technique
Authors:   GVP College for Degree and PG courses (A), Rushikonda, Viakhapatnam, Chandravathi D. , Lakshmi Prof.P.V. ,   GITAM University, Rushikonda, Viakhapatnam
Published: August 2019

Communication of confidential information over Internet is the key aspect of security applications. Providing protection to sensitive information is of major concern. Many cryptographic algorithms have been in use for providing security of confidential information. Providing security for data has become major challenge in this era. Classical cryptography is playing a major role in providing security for applications. In modern days securing confidential information in the cloud is considered as an important challenge. Homomorphic Encryption technique is one of the best solutions that provide security in the cloud[1]. In this paper, Extended Euclidean Algorithm is used for generating keys. This technique follows RSA Homomorphic encryption technique. .RSA Homomorphic encryption using Extended Euclidean algorithm (RSA-HE-EEA) is secure when compared to RSA as it based on the generation of private key which makes the algorithm complex .This technique of using Extended Euclidean Algorithm(EEA) is fast and secure when compared to RSA homomorphic encryption technique. The encryption process utilizes modulo operator which gives security as well.The beauty of this algorithm is in generation of private key which uses Extended Euclidean Algorithm (EEA) that helps in avoiding brute force attacks. Also, this technique uses Homomorphic operations which gives enhance security to confidential information in the cloud.
Brain Tumor Detection and Identification Using Histogram Method
Authors:   Research Scholar in GITAM (Deemed to be University), Vishakhapatnam., Bramarambika MB , Seshashayee  ,   Assistant Professor in GITAM (Deemed to be University), Vishakhapatnam.
Published: August 2019

Brain tumor is a collection of unwanted cells that grow abnormally in different parts of human brain. Detection of this is done effectively by MR image scanning of human brain. Certain process can be carried out to partition the input MR images into the regions. To convert these regions into coherent segments is done by Histogram Method which can utilize peaks and valleys to analyze the regions into segment of the MR images. This process can be done by program division method to detect the tumor in the earlier stages .This work aims at it.
Low Power High Throughput Memory Less Adaptive Filter using Distributed Arithmetic
Authors:   Electronics and communication engineering, Shree College, Gopalapuram, Andhra Pradesh ,India, Chiranjeevi Paida , Venkatesh B. ,   Electronics and communication engineering, Shree College, Gopalapuram, Andhra Pradesh, India.
Published: August 2019

This paper briefs an area efficient, low power and high throughput LMS adaptive filter using Distributed Arithmetic architecture. The throughput is increased because of parallel updating of filter coefficient and computing the inner product simultaneously. Here we have proposed memory-less design of distributed arithmetic (MLDA) unit. The proposed design uses 2:1 multiplexer’s architecture to replace LUT of the conventional DA to reduce the overall area of the filter. Enhanced compressor adder is used for accumulation of the partial products, which further helps to reduce the area. Parallel updating of the generation and accumulation enhance the throughput of the design. The proposed architecture requires more than half area that required for the existing LUT based inner product block. The proposed design is implemented in synopsis design compiler and the result shows that the area decreased by 52.7% and also the MUX based DA for the Adaptive filter causes 69.25% less power consumption for filter tap N=16, 32 and 64. Proposed design provides 36.50% less Area Delay Product (ADP).