bluuebunny/crossref_metadata_2025 huggingface dataset:
DNA Computing Based Encryption Algorithm for Wireless Multimedia Communication System
Authors:   Department of ECE, Sathyabama Institute of Science and Technology, Chennai (Tamil Nadu) India., Bharadwaja* A. Vyasa , Ganesan V. ,   Department of ECE, Sathyabama Institute of Science and Technology, Chennai (Tamil Nadu) India.
Published: January 2020

Transmission of digital images for wireless multimedia communication system requires reliable security in storage which is a challenging task. So many works are carried out to develop and implement the cryptographic techniques for a wireless multimedia communication system. A traditional symmetric key cryptographic algorithm such as Light weight Data Encryption Standard cipher, Advanced Encryption Standard cipher, Triple-DES, Twofish, Blowfish, RC5 etc played a major role to transmit and receive the multimedia (text, image and video) data. Proposed DNA computing based authentication algorithm provides secure transmission of multimedia data by using symmetric key cryptography techniques. DNA computing techniques provides a higher level of security and enables the user to store a large amount of data. Finally, it shows the implemented result analysis the performance of different symmetric key cryptographic techniques using the simulation parameters such as power consumption, key size, processing time, memory space, speed and latency. It also improves the security level by incorporating the advantage of DNA cryptography to achieve a high level of security against various attacks.
Assorted Sentiment Model for Publically Available Page of Facebook
Authors:   PhD Degree, Department of Computer Applications, Maulana Azad National Institute of technology. Bhopal (Madhya Pradesh) India., Dhyani* Saurabh , Thakur Ghanshyam Singh ,   Assistant Professor, Department of Computer Applications, Maulana Azad National Institute of technology. Bhopal (Madhya Pradesh) India.
Published: January 2020

ecommerce industries expose public page in the social network site (Facebook, twitter etc) for the intention of improving of business strategy. They extract public mood about the social network page in the forms of total likes, the total share of the page and sentiment of all comments to the social network page similar way celebrities expose public page in the social network sites for the intention of improving its fame. We have developed an assorted model for publicly available page of Facebook. This assorted model is the combination of data extractor model, language convertor and cleaned model, and sentiment analyzer model. Our data extractor model extract comments on all the posts of publicly expose Facebook page in the less span of time. Language convertor and cleaned model would work for conversion of text written in different Indian language to the English language and after that English written text would be cleaned through cleaned model. Language convertor is made after implementing CILTEL model. CILTEL model converts comments written in the Indian languages in the English language. Cleaning model will clean all the comments of all the posts on the Facebook page. Finally, sentiment extraction model will extract sentiments of all the comments of the Facebook page. We have implemented classification using three machine learning algorithm, namely naïve bayes algorithm, perceptron algorithm and rocchio algorithm for checking the performance of our sentiment analysis model. Our assorted sentiment analysis model is beneficial to users like marketing industry, election parties and celebrities.
Monthly Suspended Sediment Load Estimation Using Artificial Neural Network and Traditional Models in Krishna River Basin, India
Authors:   Department of Electronics and Computer Engineering, Koneru Lakshmaiah Education Foundation, Vaddeswaram-522502, AP, India., Yadav* Arvind , Krishna Arla Rama ,   Department of Electronics and Computer Engineering, Koneru Lakshmaiah Education Foundation, Vaddeswaram-522502, AP, India., Bhavani Thottempudi ,   Department of Electronics and Computer Engineering, Koneru Lakshmaiah Education Foundation, Vaddeswaram-522502, AP, India., Satyannarayana Penke ,   Department of Electronics and Computer Engineering, Koneru Lakshmaiah Education Foundation, Vaddeswaram-522502, AP, India.
Published: January 2020

The measurement of sediment yield is essential for getting the information of the mass balance between sea and land. It is difficult to directly measure the suspended sediment because it takes more time and money. One of the most common pollutants in the aquatic environment is suspended sediments. The sediment loads in rivers are controlled by variables like canal slope, basin volume, precipitation seasonality and tectonic activity. Water discharge and water level are the major controlling factor for estimate the sediment load in the Krishna River. Artificial neural network (ANN) is used for sediment yield modeling in the Krishna River basin, India. The comparative results show that the ANN is the easiest model for the suspended sediment yield estimates and provides a satisfactory prediction for very high, medium and low values. It is also noted that the Multiple Linear Regressions (MLR) model predicted an many number of negative sediment outputs at lower values. This is entirely unreality because the suspended sediment result can not be negative in nature. The ANN is provided better results than traditional models. The proposed ANN model will be helpful where the sediment measures are not available.
PV-Hess Based Zeta Converter for BLDC Motor Drive using Fuzzy Logic Controller
Authors:   Department of EEE, Pragati Engineering College, Surampalem, India., Ramani* Pudi Roja , Shariff Sheik Mahaboob ,   Associate Professor, Department of EEE, Pragati Engineering College, Surampalem, India., Brahmam M. N. V. Venkata ,   Associate Professor, Department of EEE, Pragati Engineering College, Surampalem, India.
Published: January 2020

The growing importance of non conventional energy in the auto mobile industry needs the use of brushless DC (BLDC) motor drives the solar photo voltaic (PV). To overcome the disadvantages in the conservative DC-DC converters, Zeta converter is used to optimize power handling through controlling of duty cycle. To mitigate changes in output of PV, the Hybrid Energy Storage System (HESS) is implemented into the PV system to maintain a constant voltage at the BLDC motor input. The PV-HESS system is controlled correctly by a robust power management algorithm. The Zeta converter can meet the smooth performance of the system by using particle swarm optimization technique of maximum power point tracking. By placing set of rules in the FLC controller we get the system stability faster than existed controller. The performance of the fuzzy logic controller built was demonstrated in terms of atmospheric condition changes using MATLAB/ Simulink.
Automated Farming and Nutrition Deficiency Detection using Swarm Bots
Authors:   Assistant Professor, Department of Electronics and Communication Engineering, Agni College of Technology, Chennai – 600130 (Tamil Nadu) India., Rajasekar T. , Kumar* M. Arun ,   Assistant professor, Department of Electronics and Communication Engineering, GITAM School of Technology, Bengaluru campus, Bengaluru – 561203 (Karnataka) India., Ismail K. Mohamed ,   Assistant professor, Department of Electronics and Communication Engineering, Agni College of Technology, Chennai – 600130 (Tamil Nadu) India., Sabarimuthu M. ,   Assistant professor, Department of Electronics and Communication Engineering, Kongu Engineering College, Perundurai – 638060 (Tamil Nadu) India.
Published: January 2020

Agribusiness has a critical job in the financial texture of India. Agronomy does not have sufficient workforce to exert in field due to migration of people and hence automation of farming can be used to get divest of day-to-day farming hitches. To contribute an elucidation to these glitches, the steered rover for drilling, seed sowing, and detection of victual rift using Artificial Intelligent system. Recovery system has been offered to lessen the human exertion and to speed up the work, henceforth weakening the measure of equipment required for its usage without bargaining the nature of administration. Surveying the leaf using image processing the farmer can easily be notified about the deficiency in the crops through communication protocol.
Mining and YouTube Data Analysis using Hadoop
Authors:   Associate Professor, St. Joseph’s College of Engineering, Chennai (Tamilnadu) India., Maheswari* B. Uma , Mythili N. ,   Assistant Professor, St. Joseph’s College of Engineering, Chennai (Tamilnadu) India.
Published: January 2020

Analysis of structured and consistent data has seen remarkable success in past decades. Whereas, the analysis of unstructured data in the form of multimedia format remains a challenging task. YouTube is one of the most popular and used social media tool. It reveals the community feedback through comments for published videos, number of likes, dislikes, number of subscribers for a particular channel. The main objective of this work is to demonstrate by using Hadoop concepts, how data generated from YouTube can be mined and utilized to make targeted, real time and informed decisions. In our paper, we analyze the data to identify the top categories in which the most number of videos are uploaded. This YouTube data is publicly available and the YouTube data set is described below under the heading Data Set Description. The dataset will be fetched from the Google using the YouTube API (Application Programming Interface) and going to be stored in Hadoop Distributed File System (HDFS). Using MapReduce we are going to analyze the dataset to identify the video categories in which most number of videos are uploaded. The objective of this paper is to demonstrate Apache Hadoop framework concepts and how to make targeted, real-time and informed decisions using data gathered from YouTube.
“Bronzi Di Riace” Geomatics Techniques in Augmented Reality for Cultural Heritage Dissemination
Authors:   DICEAM, Mediterranea University, Reggio Calabria, Italy., Barrile* Vincenzo , Fotia Antonino ,   DICEAM, Mediterranea University, Reggio Calabria, Italy., Bernardo Ernesto ,   DICEAM, Mediterranea University, Reggio Calabria, Italy.
Published: January 2020

In the ‘Museo Archeologico Nazionale della Magna Grecia' in Reggio Calabria (south Italy) are located two full-size bronzes cast around the 5th century BC: The Riace Bronzes; thanks to their outstanding manufacture, they truly represent significant sculptural masterpieces of Greek art in the world. This paper describes the methodology used by the Geomatics Laboratory of the DICEAM of the Mediterranean University of Reggio Calabria to achieve a 3D model of the two sculptures. The 3D modelling is based on the use of imaging techniques, such as digital photogrammetry and computer vision. The achieved results demonstrate the effectiveness of the technique used in the cultural heritage field for the creation of a digital production and replication through 3d printing. Moreover considering that in the renewed interest in the context of international museological studies, Augmented Reality innovation represents a new method for amplifying visitor numbers into museums despite concerns over returns on investment, the procedure to develop a touristic app is described. In fact the enhancement of cultural heritage through the use of 3D acquisition and modeling tools represents one of the fields of study that will see rapid development in the near future. Thus, in order to further valorize and disseminate archaeological heritage, we are developing an app for tourism purposes. The created app allows the user, in real time, to obtain additional information on the object of investigation, even allowing them to view the 3D model in AR. Moreover, the app combines AR and VR technologies with the opportunities offered by 3D printing,
SIR Epidemic Model derived from Spatial Correlation for Worm Propagation in Event-driven Wireless Sensor Network
Authors:   Dept of EE, Galgotias College of Engineering and technology affiliated with Dr.A.P.J. Abdul Kalam Technical University, UP, India., Chaudhary Sunil Kumar , Shakya* Rajeev K ,   Dept of EEE, Galgotias College of Engineering and technology affiliated with Dr.A.P.J. Abdul Kalam Technical University, UP, India., Kumar Atul ,   Dept of ECE, Galgotias College of Engineering and technology affiliated with Dr.A.P.J. Abdul Kalam Technical University, UP, India.
Published: January 2020

An event or a physical activity triggers many nodes for sensing the environment in wireless sensor networks for event monitoring applications. These triggered nodes then transmit the sensed data to the control center. To study the virus propagation behavior in event-driven WSNs, sensor coverage which is a quality of service parameter, can be considered in epidemic model design to get more insight. Existing epidemic models have global characteristics when it is considered a realistic behavior of WSNs. In this paper, a comparative analysis is carried out for spatial correlation feature found in sensor nodes based on sensing range. It is extended version of our recent work. We present analysis using Susceptible-Infectious-Recovered (SIR) epidemic model with and without spatial correlation feature. Firstly, we show that the correlated nodes are occurred due to sensing ability for event monitoring applications. These nodes are responsible for transmitting correlated information when an event occurs in the field. A detailed comparative analysis with recent existing SIR epidemic models is presented with results and discussions. A comparison based on basic reproduction number is also discussed. Our Results show the impact of spatial correlation in the behavior of virus spread with time. Comparative study shows the effective use of our model is in designing prevention mechanisms for infection control. It can also be used to study the virus spreading behavior for event-driven scenarios in WSNs .
Value Creation through Knowledge Sharing and Innovation in IT Industry
Authors:   Professor, OB HRM, School of Management, KIIT University. Bhubaneswar, Odisha, India., Satpathy* Dr. Ipseeta , Mohapatra Mitali Das ,   Doctoral Scholar in KIIT School of Management, KIIT University, Bhubaneswar, Odisha, India., Patnaik Dr. B.C.M ,   Professor, School of Management, KIIT University. Bhubaneswar, Odisha, India., Das Dr. S.C ,   Associate Professor, KIIT University, Bhubaneswar, Odisha, India.
Published: January 2020

The main aim is to review and conceptually understand knowledge sharing and innovation in the Information technology industry (IT) and its impact on organizational performance of the employees. Management of knowledge focuses on retaining of the knowledge, innovation and creation of value. It is a tool used in many organizations to improve the performance of the organization through strategic decision making. Through the help of field survey, primary data was collected and descriptive analysis and correlation analysis technique was applied to understand the association of Knowledge Management (KM) techniques with other variables identified from the study like knowledge sharing, storage of knowledge, transfer of updates, organizational learning and organizational culture etc. The findings suggest that indicators like group meetings, taking courses related to a pertinent area, activities involving team are some of the formal channels of knowledge sharing and they need to be implemented in the organization.
Building a Descriptive Exam Model for Student Performance using Process Mining Techniques in Examaize System
Authors:   Department of Information Systems, Faculty of Computing and Information Technology in Rabigh, King Abdulaziz University, Kingdom of Saudi Arabia., Barik* Lalbihari
Published: January 2020

Paper The objective of this research paper is to determine the understanding of students’ course contents and evaluate student performance according to expectations. There are predefined navigation models available to answer Multiple Choice Questions (MCQs). The individual student responds to these questions in their navigation pattern that results in various Student Performance Outcomes. The research presents the process mining techniques to evaluate students’ answers in the MCQs predefined navigation model in the exaMAIZE Assessment System. This research shows that students navigate all the twenty-five questions according to their way of answering the exam, where seven questions are under high frequency and later analyze to revise the answer on suspicion or difficult. The experiment compared Student Exam Outcomes with the Student Performance Outcomes of each outcome, and the frequency of navigating a question to find out individual student Strengths and Weaknesses. This work can be extended future development of efficient process mining algorithms by applying the next academic session to improve student performance.
Effect of Various Parameters on the Bead Geometry and Flexural Strength of MIG Welded Joint
Authors:   Professor, Department of Mechanical Engg., CBIT, Gandipet, Hyderabad-75, India,, Reddy* Dr.P.V.R.Ravindra , Reddy Dr.G,Chandramohan ,   Mechanical Engineering Department CBIT,Gandipet, Hyderabad-75, India,, Rao Dr.BVS ,   Assistant Professor, Mechanical Engineering Department, CBIT, Gandipet, Hyderabad-75,India, Laxmaiah G. ,   Professor, Mechanical Engineering Department, CBIT, Gandipet, Hyderabad-75,India.
Published: January 2020

Metal inert gas welding is the process in which a continuous coil of consumable electrode is used with inert gas shielding. It was extensively being used for Aluminum and Mg Alloys. But due to other alternatives available for, the cost of inter gas prohibited the use of MIG welding of steels. After the introduction of carbondioxide as shielding gas the economical viability in welding of steels was realized. The quality of weld joing and its productivity is influenced by the parameters such as arc current, wire feed rate, voltage, welding speed, torch angle, , nozzle to plate distance, welding position and gas flow direction. In the present work effect of gas flow rate, voltage and current are studied using Taguchi L-9 orthogonal array. The flexural strength, tensile strenght and bead geometry for various trails are computed and the optimum combination is obtained.
Automatic Machine Translation For Bangla And English Resolving Ambiguities
Authors:   Senior Lecturer, Department of Computer Science and Engineering, Daffodil International University, Dhaka, Bangladesh, Ohidujjaman  , Faysal Fahim ,   Jr. Software Engineer , Red IT International, Dhaka, Bangladesh, Adjunct Lecturer, Department of Computer Science and Engineering, Daffodil International University, Dhaka, Bangladesh,, Sumon Shams ,   Support Engineer, ThemeXpert Software Company, Dhaka, Bangladesh., Huda Mohammad Nurul ,   Professor, Department of Computer Science and Engineering, Director, Master of Science in CSE (MSCSE) Program, United International University, Dhaka, Bangladesh.
Published: January 2020

The strategic borderless knowledge sharing and development of communication interacts with dialects. Significant factors such as education, medical, business, research and others are vastly diffused over the world based on various lingoes. Bilingual or multilingual expression is the standard of having unknown/new linguistic along with its resources. The initial endeavor of the study is to implement the MT (machine translation) approaches for English to Bangla language processing and vice-versa. The emphasis of the study is the distinct ambiguities are identified along with their best solutions. Certain machine translation approaches such as word-to-word, direct, transfer, interlingua, corpus-based and statistical translation are surviving and, few of them are deployed in this Smart Natural Language Processing (SNLP) for dispatching the source to the target language and vice-versa. Two different dictionaries (bilingual and monolingual) are developed for the execution process. An eminent resource Stanford POS Tagger (as a toolkit) is used for identifying the grammatical structure of the source (English) dialect. This research also focuses on output acquiring through performance analyzing of different translation models.
Designing a Model on Smart Traffic Control System
Authors:   Research Scholar department of computer science and engineering, Sandip University India., Sonawane* Ms.Gauri V. , Khan Dr. Sajidullah ,   Associate Professor, Department Computer Science and Engineering, Sandip University, India.
Published: January 2020

Lots of Traffic Congestion during office hours or some special Occasion also during heavy traffic usually results in uncertainty and dispute, auto crashes, waste of time and resources, and release more carbon into the ecosystem so to avoid heavy traffic jams and to avoid them to wait on signal. Proposed idea will be given more advantage to reduce waiting time on the signals and vehicle will be easily pass with the help of speed management notification on on Digital Gadget. Each vehicle is furnished with RFID and with the help of distance sensor location of vehicle signal system can easily detected and system will provide notification to a person who drives a vehicle on their mobile phone or Digital gadget, according to that person will manage the speed of the vehicle to reduce waiting time on signals with the help of this system. It reduces everyday congestion, by regulating traffic flows and prioritizing traffic to demand in running time. Reducing the pollution throughout the urban area and polluting also in our system if the traffic density is more or if there is a traffic jam, then we would be uploading the status on the GPS which would indicate that there is a traffic jam at a particular signal. Prevent Maximum amount of traffic flow & can prevent traffic congestions. Real time measurement of speed of vehicle to control the traffic congestion is possible through image processing. Huge amount of processing algorithms are present to detect the speed of vehicle.by using image processing algorithm we easily detect the number of vehicle and speed and motion of particular vehicle.
Design 30 GT Catamaran Fishing Boat with Variations of Hull Type and Inter-Demihull Length for Minimum Resistance
Authors:   Naval Architecture Department, Diponegoro University, Semarang, Indonesia, Kiryanto*  , Ridwan Mohd ,   Naval Architecture Department, Diponegoro University, Semarang, Indonesia., Adietya Berlian Arswendo ,   Naval Architecture Department, Diponegoro University, Semarang, Indonesia.., Chrismianto* Deddy ,   Naval Architecture Department, Diponegoro University, Semarang, Indonesia., Ayuningtiyas Anggita Rahmadhani ,   Naval Architecure Department, Diponegoro University, Semarang, Indonesia.
Published: January 2020

Fuel savings are closely related to ship resistance. Research on reducing resistance continues to be done in various ways, ranging from hull modification, optimization of the propulsion system and the addition of polymer substances. Resistance are also influenced by ship’s velocity and variations of inter-demihulls length. This challenge has been widely discussed by experts, especially the variety of inter-demihull length. This research aims to analyze the 30 GT catamaran fishing boat resistance with variations in hull type and inter-demihull length. The main aim is to get the obstacle characteristics of these variations. The advantage of this research lies in the more varied shapes and inter-demihull lengths of each model where the characteristics of the obstacles will also vary, so that this research can later be an alternative for the community in the use of catamarans to increase fishing productivity. The study was conducted using CFD (Computational Fluid Dynamics). From the results, one of the most optimal form of the model is the type of hull Symmetrical Hard Chine with a variation of S / L 0.5 at maximum speed.Tthis model has a wave resistance value of 9.87 kN, a viscous resistance of 5.04 kN, and a total resistance value of 14.92 kN. Where there is a reduction of the wave resistance of 12.1%, viscous resistance of 1.5%, and a total resistance of 8.779% from the original model. Another advantage of this type for the Purseseine Boat is the use of a fairly wide deck for the laying of fishing gear.
Determinants of Project Time Performance: Evidence from Water Transmission Projects
Authors:   Department of Civil Engineering, Mercubuana University, Jakarta, Indonesia, Alpiah* Siti , Soehari Tjiptogoro Dinarjo ,   Department of Civil Engineering, Mercubuana University, Jakarta, Indonesia., Susetyo Budi ,   Department of Civil Engineering, Mercubuana University, Jakarta, Indonesia.
Published: January 2020

This study aimed to examine the factors that influence time performance in water transmission projects consisting of internal and external factors of time planning, application of crashing methods and PERT methods. The study uses a quantitative approach that takes the object of research on a water transmission project with a sample of 52 peoples and data analyzed with regression. The research findings show that the factors that significantly influence the time performance of the water transmission project are the external factors of time planning and PERT methods, while the internal factors for time planning and crashing methods don’t have a significant effect on time performance. Based on these findings, in the implementation of water transmission projects, the external factors and PERT methods must be a priority for improving project time performance.
Prediction of Genome Sequences in Terms of Cellular Automata Expansion of Rule Based Logics
Authors:   Research Scholar, Dept of Computer Science & Engineering, Acharya Nagarjuna University, Guntur, Andhra Pradesh, India., Kumar. K* Rama Naga Kiran , Babu. I Prof. Ramesh ,   Professor, Dept of Computer Science & Engineering, Acharya Nagarjuna University, Guntur, Andhra Pradesh, India
Published: January 2020

This paper proposes a novel concept called “Percentage Nucleotide Concentration of genomes” in terms of cellular automata evolutions of adjoints of Adenine, Thymine, Guanine, and Cytosine. The adjoints of the given a genome sequenceare the characteristic binary string sequences. For example, the adjoint of Adenine of a given genome sequence is a binary string consisting of 0’s and 1’s where 1’s corresponds to the presence of Adenine in the genome sequence. So, one can have four adjoint sequences of Adenine, Thymine, Guanine, and Cytosine corresponding to a given genome sequence. One-dimensional three neighborhood binary value cellular automata rules could be applied to an adjoint sequence and the desired number of evolutions obtained.These rules aredefined by linear Boolean functions and one can have 256 such linear Boolean functions. The analysis of genome sequences with predictive analytics gives a scope of getting the inherent properties of the genome. The predictive model suits the Nucleotide concentration and is computed for an adjoint sequence and its variation evaluated for its successive evolutions based on a cellular automaton rule.
Specificity of Forming Human Capital at It - Enterprises in Conditions of Concept Lifelong Learning
Authors:   PhD, Student at Economics and Management Faculty, Enterprise economics Department, SHEE «Kyiv National Economic University named after Vadym Hetman», Kyiv, Ukraine., Teteruk* Kateryna , Datsii Nadiia ,   Doctor of Sciences in Public Administration, Professor, Department of Economic Theory, Intellectual Property and Public Administration, SHEE «Zhytomyr National Agroecological University» Department of Economics and Management, SHEE «Zhytomyr National Agroecological University» Department of Economics and Management, Kyiv, Ukraine., Kartashov Evgen ,   Doctor of Sciences in Public Administration, Department of public administration and project management, SHEI "Universiy of Educational Management", Kyiv, Ukraine., Ivashova Ljudmyla ,   Doctor of Sciences in Public Administration, Professor, Department of Public Administration and Customs Administration, University of customs and finance, Kyiv, Ukraine., Ortina Ganna ,   Dmytro Motornyi Tavria State Agrotechnological University, Department of Public Administration, Administration and Law, Melitopol, Ukraine.
Published: January 2020

The article substantiates the relevance of a scientific insight g of those changes in the activities of companies that are observed in the formation of human capital in enterprises of the IT industry. The article highlights the position of digital transformation in accordance with which the conditions for the use of human capital, which is perceived as a combination of knowledge, skills, experience, motivation, health, creative and entrepreneurial abilities of a person, contributing to the increase of his income. During introducing the concept of lifelong learning, it becomes possible to use human capital effectively in terms of both technology and income. As a result of research conducted by domestic and foreign scientists, it was proposed to expand the concept of “human capital” by adding the “entrepreneurial ability” component. Only the introduction of employee abilities, using, and the application of innovations in their work have a decisive impact on the performance of both an individual enterprise and society as a whole, the development of an innovative economy, the acceleration of the pace of scientific and technological progress and the implementation of the concept of sustainable development of an enterprise. For in-depth analysis, it was proposed two initial linear models, the first includes quantitative and qualitative variables. Based on the available statistical data, empirical profiles of the dependence of wages on the level of education are formed, which will give some idea of the demand for labor with a certain level of education in the labor market.
Thermodynamics, Electrochemistry and DFT Calculation of Sulfonated Polyvinyl Chloride Cation Exchanger
Authors:   Department of Natural Sciences, Karshi State University, Karshi city, Uzbekistan., Nuriddinova* Dilfuza , Yusupov Farkhod ,   Department of Chemical technology and active surface materials, Institute of General and Nonorganic Chemistry, Tashkent city, Uzbekistan
Published: January 2020

In this research work we have firstly synthesized the sulfonated polyvinyl chloride cation exchanger based on local raw materials. It was firstly created syntheses methodology of the sulfonated polyvinyl chloride cation exchanger and determined syntheses reaction parameters. It was firstly investigated that thermodynamics of synthesized the sulfonated polyvinyl chloride cation exchanger: kinetics, sorption isotherms, change of thermodynamics function (Gibbs energy, Entropy and Entalpy). DFT calculation of synthesized the sulfonated polyvinyl chloride cation exchanger: energy difference between LUMO and HOMO molecular orbitals, Chemical Hardness (η), Electronegativity (χ), Electronic chemical potential (μ), Global electrophilicity Index (ω) and Chemical Softness (s) were firstly computed. We have used thermodynamic methods on doing thermodynamics research. Frontier molecular orbital method was used on doing DFT calculation by 6-311G (d,p) basis set. These firstly synthesized the sulfonated polyvinyl chloride cation exchanger based on local raw materials is very cheap and effective, it will be used in chemical industry for softening or cleaning waste water from Ca2+ or Mg2+ ions and different heavy ions. Electrochemical impedance measurements show that the quasi-substitution process has become between Mg+2 and Ca+2 ions and Na+ on the sulfonated polyvinyl chloride cation exchanger in the result of which growth of charge transfer and dielectric constant of mediums. Investigating thermodynamic parameters of this compound will be used in some purposes: deep understand thermodynamics of sorption processes and using determined thermodynamics in real produce processes of water softened materials. DFT calculation investigating gives deep understand how thermodynamics properties can depend on molecular structure of water softened polymer materials.
Lightning Protection of Ancient Chola Monument in South India Based on Three-Dimensional Geometric and Electro-Geometric Techniques
Authors:   Associate Professor, School of Electrical Engineering, Vellore Institute of Technology, Vellore, Tamil Nadu, India., Venkatesh* S. , Sreedhar Srisailam ,   Research Scholar, School of Electrical Engineering, Vellore Institute of Technology, Vellore, Tamil Nadu, India., Thirumalini S. ,   Associate Professor, School of Civil EngineeringVellore Institute of Technology, Vellore, Tamil Nadu, India., Fernando Manjula ,   Professor and Head ofDepartment of Electrical and Electronic Engineering, University of Peradeniya, Sri Lanka., Kumara Sarath ,   Associate Professor, Department of Electrical and Electronic Engineering, University of Peradeniya, Sri Lanka.
Published: January 2020

Lightning is one of the most commonly occurring natural phenomena which causes irrecoverable damage toedifices which include monuments that uniquely showcase global heritage. Most monuments are usually built tall since these signify symbols of victory, whereby invariably becoming vulnerable to lightning. Though several researchers have implemented various Lightning Protection Systems (LPS) to a considerable level of success, substantial statistical variations in prospective stroke currents during lightning due to factors such as climate change,complexities in geographical topography etc., present considerable challenges in obtaining a common framework for protection of structures. Hence, this research focuses on carrying out analysis based on exhaustive case-studies for an ancient United Nations Educational, Scientific and Cultural Organization (UNESCO) monument in South India. The first objective of this research is in carrying out detailed comparison of shielding effectiveness based on 3D geometric and electro-geometric LPS strategies such as Protection Angle Method (PAM) and Rolling Sphere Method (RSM). The second aims at assessment of risk in accordance with IEC 62305 for estimation of level of risk and the role of varying lightning protection levels utilizing striking distance models to obtain the appropriate choice of the location of air terminal. The third focuses on conducting cross-validation studies to assess the adequacy of the proposed location of LPS using SESShield-3D by depicting the critical zones that necessitate additional protection. In addition, shielding failure analysis of the proposed LPS is also carried out. Inferences on unshielded zones for the three-dimensional (3D) layout models of the monuments have been summarized with appropriate recommendations.
Simulation of S Shape Coriolis Mass Flow Sensor
Authors:   Department of Mechanical Engineering, Graphic Era Hill University, Dehradun, India., Pant* Rushali , Patil Pravin P ,   Department of Mechanical Engineering, Graphic Era deemed to be University, Dehradun, India
Published: January 2020

The paper intent in modelling of S-shape coriolis mass flow sensor and then per-forming the simulation for determining the desired phase-shift. The coriolis mass flow sensor is a device that measures mass flow rate of a fluid inside the tube. It is also known as inertia flow meter. The phase shift appears due to the twist in the structure as a result of interactions between the vibration and fluid flow. The phase shift calculated at different sensor positions is helpful in calibrating the ac-curate mass flow rate and to ascertain the optimal sensor position. The coriolis mass flow sensor is modelled in CATIA V5 and simulation is performed in ANSYS 16.2. Tube material is copper and working fluid is water.
A New Semantic Resource Description Framework for Medical Diagnosis based on Gene Ontology
Authors:   Department of Computer Science and Engineering Maulana Azad National Institute of Technology, Bhopal, (M.P), India., Deen* Anjna Jayant , Gyanchandani Manasi ,   Department of Computer Science and Engineering Maulana Azad National Institute of Technology, Bhopal, (M.P), India.
Published: January 2020

Semantic-Based medical informatics system is an interdisciplinary deflect of bioinformatics research, where a dealing to knowledge discovery of proper diagnosis of disease leads to more attention about health control before health complications. To do this work is in the aspects of various ways like preserving and accessing patient’s medical records for further information retrieval from pre-recorded datasets. Now some research has mostly used to medical metrics method combined with statistical information and social network analysis citation approach to analyze. Due to this limited citation information force to develop a new dimension of the semantic web-based medical diagnosis system. In this study the approach of implementing autonomic gene computing in medical informatics, in this framework a new semantic resource description network for medical diagnostics based on Gene Ontology, this way the diagnosis context capture its levels of symptoms. Every patient has their unique symptoms which are kept and fetched by semantic web applications, In this framework we used gene-based symptom indication for disease diagnosis, and merge with drug prescription leads to more suitable results that can be useful for physicians and medical practitioner, as to achieve efficient solutions in the new direction to make life saving analysis from the database. Being a very effective and enhanced web application tool can be applied in the medical field to make it useful for the society. The web interface for drugs prescription accepts the diseases and symptoms from the domain updated in the database and successfully displays prescribed drugs for each disease.
Design and Manufacturing of Electrically Driven ATV for Enhanced Vehicle Performance
Authors:   B.E, Department of Electrical and Electronics Engineering, Saranathan College of engineering, Trichy, India., Natarajan* Gayathri , kumar Dr. L.Ashok ,   Department of Electrical and Electronics Engineering, Saranathan College of engineering, PSG college of engineering, Coimbatore, India.
Published: January 2020

This paper aims to produce an Electrical all-terrain vehicle with Smart Driver Kit design which is more durable and comfortable to meet the robust conditions of Defense and Forest Sector, not just recreational user market. The Smart Driver Kit design will take this vehicle experience to a new dimension with valuable information about Energy Consumption, Stealth Mode, Real-time Elevation and Terrain Data. The paper implies the prominence of bringing up innovation in terrain vehicles to cover wide range of market preferably terrain based commercial activities. Clear understanding of Vehicle Dynamics and Automotive Design leads us to the development of a product which would fulfill the consumer expectations sought at every level around the globe. The structural integrity and durability of the vehicle of this vehicle would be an advancement for innovation in All-Terrain Vehicle.
Strength and Durability Properties by Replacement of Natural Zeolite and Fly ash in Ordinary Portland Cement
Authors:   PG Student, Dept. of Civil Engineering, AITSRajampet, Kadapa, AP, India., Harish* Chalapati , Kumar T. Naresh ,   Assistant Professor, Dept. of Civil Engineering, AITSRajampet, Kadapa, AP, India., Vishnuvardhan V. ,   Assistant Professor, Dept. of Humanities and Sciences, AITS Rajampet. Kadapa, AP, India.
Published: January 2020

Natural zeolite and Flyashresidue, a sort of hydrated Alumino-Silicate is used amply as ordinary pozzolanic material in particular areas of the world. In this calculation, the suitability of a secretly quarried zeolite and mineral admixture called fly ash is used for getting better mechanical and durability property of bond. The presentation of strong quality was better with a dissimilar degree of zeolite and fly ash was examined. The substitution on zeolite and fly ash with other proportions like 10% zeolite with ordinary Portland cement (OPC), 10% zeolite and 10% fly ash, 10% zeolite and 20% fly ash, 10% zeolite and 30% fly ash for M25 grade of concrete and done valuations with mechanical properties such as compressive strength, split tensile test, water permeability test, rapid chloride permeability test. By differentiating these effects between a run of the mill concrete and dissimilar degrees of Zeolite and Flyash.By comparing these results between normal concrete with different proportions of Zeolite and Flyash.
High-Speed FIR Filter Design using Decision Tree Algorithm with FPGA Debugging
Authors:   Department of Electronics and Communication Engineering, K.L University, Vijayawada, India., Anumothu* Murali , Harikishore Dr. Kakarla ,   Department of Electronics and Communication Engineering, K.L University, Vijayawada, India.
Published: January 2020

In recent years, the filter is one of the key elements in signal processing applications to remove unwanted information. However, traditional FIR filters have been consumed more resources due to complex multiplier design. Mostly the complexity of the FIR filter is dominated by multiplier design. The conventional multipliers can be realized by Single Constant Multiplication (SCM) and Multiple Constant Multiplication (MCM) algorithms using shift and add/subtract operations. In this paper, a hybrid state decision tree algorithm is introduced to reduce hardware utilization (area) and increase speed in filter tap cells of FIR. The proposed scheme generates a decision tree to perform shift & addition and accumulation based on the combined SCM/MCM approach. The proposed FIR filter was implemented in Xilinx Field Programmable Gate Array (FPGA) platform by using Verilog language. The experimental results of the DTG-FIR filter were averagely reduced the 48.259% of LUTs, 51.567 % of flip flops and 44.497 % of slices at 183.122 MHz of operating frequency on the Virtex-5 than existing VP-FIR.
Overcurrent and Earthfault Relay Coordination for Microgrid with Numerical Relay Features
Authors:   Associate Professor, Sri Sairam Engineering College, Chennai Tamil Nadu, India., Nayanatara C. , Shanmugapriya* P. ,   Assistant Professor, Sri Sairam Engineering College, Chennai Tamil Nadu, India., Baskaran J. ,   Professor, Adhiparasakthi Engineering College,Melmaruvathur., Sharmila P. ,   Assistant Professor, Sri Sairam Engineering college, Chennai, Tamil Nadu, India.
Published: January 2020

This Paper deals with the Relay Coordination for microgrids by considering the symmetrical and unsymmetrical faults. A microgrid is an active distribution system in which the renewable energy sources and loads connected to feeders operate parallel or autonomously from the main power grid. In a microgrid, Overcurrent relays can be used as the protection device. When there is changeover from grid connected to islanded mode or disconnection of DG will lead to variation in short circuit current. So, the relay may fail to operate or there will be delay in operation. Relay Coordination is done on the basis of load flow and short circuit analysis. Simulation is done using the ETAP (Electrical Transient and Analysis Program) Software by taking the 9 bus 18 node system.
Implementing Smart Attendance system using IoT
Authors:   Assistant Professor, Department of Information Technology, Prasad V. Potluri Siddhartha Institute of Technology, Jawaharlal Nehru Technological University, Kakinada., Padma* Y. , Kumar S. Sai ,   Assistant Professor, Department of Information Technology, Prasad V. Potluri Siddhartha Institute of Technology, Jawaharlal Nehru Technological University, Kakinada., Kadiyala Venkata Jaswanth ,   B. Tech. 4th year, Department of Information Technology, Prasad V. Potluri Siddhartha Institute of Technology, Jawaharlal Nehru Technological University, Kakinada., Chand T Bharat ,   B. Tech. 4th year, Department of Information Technology, Prasad V. Potluri Siddhartha Institute of Technology, Jawaharlal Nehru Technological University, Kakinada.
Published: January 2020

In schools and colleges, lot of time is wasted for manual attendance procedures, in such cases our system provides an automated attendance marking system. Every student will be provided with a RFID tag/card with his/her details fed in it and everyone’s tag is unique to others. This data is stored in the tag by modulating and demodulating transmitted radio frequency signals with the help of a built in integrated circuit. As soon as a student places his/her card in front of the RFID reader, the data in it is read and attendance for that student will be registered. This is done with the help of a raspberry pi interfaced with the reader. We can view the attendance status for every student obtained from the excel sheet that is generated. Thus lot of time is saved in providing attendance.
Thin walled C-Sectional Beam under Axial Load
Authors:   Assistant Professor in Department of Aeronautical Engineering, MLR Institute of Technology Hyderabad, India., Kumar* D. Mahesh , Madhavi N. ,   Associate Professor in Department of Aeronautical Engineering, MLR Institute of Technology Hyderabad, India., Sushma Muttangi ,   Assistant Professor in Department of Aeronautical Engineering, MLR Institute of Technology Hyderabad, India.
Published: January 2020

Ab A thin walled c- section beam is subjected under axial load. The influence of axial load is studied for different critical load conditions. For solid beams the formulation is also applied along with the theory of coupled of flexure and torsion of straight beams. for the critical load values 10,12.5,15,17.5,20. The differential conditions are demonstrated to be especially appropriate for investigation in the recurrence space utilizing a state variable methodology numerical is done to uncover the impact of the pivotal burden in a few limit conditions. A streamlined hypothesis, which bars the examination the distorting requirements, is displayed prompting an increasingly basic hypothesis that is utilized for correlation purposes in this venture.
The Application of Cognitive IoT for Smart Manufacturing
Authors:   PhD Student (Research Scholar), FoET / Department of CSE, Parul IET, Parul University, Waghodiya, Vadodara-391760 , Limda, Gujarat, India., Abdurahman* Mehamed Ahmed , Patel Chirah ,   Associate professor & Head, CE department, Parul Institute of Technology, Parul University, Limda, Waghodiya, Vadodara-391760, Gujarat, India.
Published: January 2020

In recent times, novel paradigms based on cognitive manufacturing services are evolving. This paradigm shift is conveyed by integrating manufacturing assets with the latest and enhanced methods and technologies. However, today’s manufacturing systems are facing various challenges, that is the researcher believed that existing technologies and tools specifically, IoT, existing learning techniques and learning systems, lack enough cognitive based intelligence and cannot achieve the expected enhancements and smart manufacturing developments. In Light of this assessing the advances in manufacturing sectors was the major goal of this work and to identify the cuuent issues and challenches in manufacturing systems being Cognitive and or smart Afterward, we assessed the research challenges and open issues and facilitate knowledge accumulation in efficiently in the applications of Cognitive Internet of Things (CIoT) for smart manufacturing systems.