bluuebunny/crossref_metadata_2025 huggingface dataset:
Shock Experimentation of a Direct Oil Heater Used In Ships
Authors:   Associate Professor Department of Mechanical Engineering, School of Engineering & Technology Sandip University, Nasik, Lokhande* Amol D. , Bhirud Niteen L. ,   Head of Department, Mechanical Engineering, School of Engineering & Technology, Sandip University, Nasik, Mahajan Gokul V. ,   Assistant Professor, Department of Mechanical Engineering, School of Engineering & Technology, Sandip University, Nasik, Chavan Govind E. ,   Assistant Professor, Department of Mechanical Engineering, School of Engineering & Technology, Sandip University, Nasik, Satpute Dinesh R. ,   Assistant Professor, Department of Mechanical Engineering, School of Engineering & Technology, Sandip University, Nasik
Published: December 2019

Mechanical shock and vibrations are the major problems, which affects the machinery or equipment. In the present scenario, when exposed to the specified shock analysis, the equipment continues to work satisfactorily without time restrictions. Mechanical shock covers the transient mechanical response .In marine environment, an underwater explosion impart to the hull a force which causes rapid local movement both to the hull structure and machinery or equipment attach to it. This work is mainly focused on the shock analysis of a direct oil heater used in ships. It includes the following analysis are as follows: Shock analysis process & procedure, stress analysis and permissible proof stress analysis and finite element analysis of different parts namely shell, saddle support, plate flange, heating element. The analysis is made to check the shock strength of the equipment, which has been analyzed to operate under severe conditions of shock loading due to underwater explosion. The finite element analysis is an indirect method of stress analysis to analyze the different parts of a heater with considering the shock forces. The values of stresses obtained are compared with the permissible values of the stresses. The permissible stresses are found for different time durations (viz < 5ms, 48ms, >50ms). Factor of safety is found for shocks in different directions.
Teaching and Learning by Object Oriented Modeling in Pre-Primary and Primary School Education
Authors:   Assistant Professor, Department of Computer Applications, B.L.D.E.A’s V.P.Dr.P.G.Halakatti College of Engineering and Technology., Vijayapur-586103, Karnataka, India., Ghuli* Dr. Anand S. , Savakar Dr. Dayanand G. ,   Professor & Director ,Dr.P.G.Halakatti Post Graduate Center, Rani Channamma University, Torvi, Vijayapur-586108, Karnataka, India., Ghuli Smita A. ,   Primary Teacher,B.L.D.E.A’s Shri B.M.Patil Pre-Primary and Primary School, Vivek Nagar West, Behind Hemaraddi Mallamma Mangala Karyalaya, Jalanagar. Vijayapur-586109, Karnataka, India, Biradar Pandurang H. ,   Assistant Professor, Department of Computer Applications, B.L.D.E.A’s V.P.Dr.P.G.Halakatti College of Engineering and Technology., Vijayapur-586103, Karnataka, Affiliated to Visvesvaraya Technological University, Belagavi., Karnataka, India.
Published: December 2019

Every single child in this world has every rights to be educated. It’s a primary duty of the responsible parent or guardian and teacher to look after the educational process of a child. Here we propose a conceptual methodology which uses the Object Oriented Modeling (OOM) to improve the basic mode of teaching and learning process in case of pre-primary and primary school education. In this paper we propose an object oriented methodology which helps in building a new path towards formulized teaching and learning process. This process considers the child as an object and the characteristics of the objects considered are Identity, Polymorphism, Inheritance and Encapsulation. Identity means - Each child will have/exhibits its own identity. Polymorphism – Each child’s behavior at school class room, home, during travel to school, at play ground etc., Inheritance – The process of acquiring the behavioral characteristics from previous class of study or from parents/grandparents etc., Encapsulation – Wrapping up of child’s attributes and behavior under single head. This type of modeling will allow the stake holders to keep track and promote the activities which are needed to improve the learning ability and multidimensional growth of the child. This is a conceptual analysis and modeling formalized in a meta-model with the help of Unified Modeling Language diagram symbols.
E-Learning Impacts on Critical Thinking Skills in Science Learning
Authors:   Physics Education Department, Ahmad Dahlan University, Yogyakarta, Indonesia., Sulisworo* Dwi , Kusumaningtyas Dian Artha ,   Physics Education Department, Ahmad Dahlan University, Yogyakarta, Indonesia., Handayani Trikinasih ,   Biology Education Department, Ahmad Dahlan University, Yogyakarta, Indonesia.
Published: December 2019

Learning in the 21st-century demands learning outcomes which are relatively different to the previous ones; they are well-known as 4C (collaboration, critical thinking, creativity, and communication). The rapid development of information and communication technology makes information in various needs easier to be accessed. This new requirement drives to the needs of learning innovation development. Theory, concept and cooperative or collaborative learning practice are believed by educators to have significant benefits on the development and the enhancement of student capabilities and skills on the various educational level. This research aims to find out how online cooperative learning implemented with various applications influences the increase of critical thinking skills as one of higher order thinking skills. The research method used was quantitative research with the ANOVA method. The data used was secondary data obtained from previous analyses conducted by the researcher together with students. The research stages started by tracing the results of previous studies and re-tabulated them following variables to be researched. Next, the preconditioning test on the results obtained was done to be used on the selected statistical analysis. From the outcome of this research, it can be concluded that there is an influence of online cooperative learning implementation towards critical thinking skill enhancement of secondary school students. In this research, it appears that the highest averages of critical thinking skill score are obtained for blended learning (79.08), discussion facilitated PhET (77.03), TPS with OER (69.87) sequentially for the top three. From the deviation score, the lowest deviations are PBL using OER (6.34), discussion facilitated PhET (6.66), and blended learning (6.67) sequentially from the lowest. Besides, there is a difference of influence among various strategies of online cooperative learning. With F-test, it seems that there is a significant influence of learning strategy towards the performance or critical thinking skill score with a significant level of 5%. Blended learning has an influence which is significantly not different (0.961) to discussion facilitated PhET. PBL using OER has an impact which is significantly not different (0.134) to Student Worksheet. However, with others, the influence is significantly different on the enhancement of critical thinking skills.
Application and Security Issues in Cloud Computing
Authors:   Computer Science and Engineering Department, University Institute of Engineering Technology, Chitkara University, Rajpura, Punjab, India., Pallavi*  , Mahajan Sahil ,   Computer Science and Engineering Department, University Institute of Engineering Technology, Chitkara University, Rajpura, Punjab, India., Gautam Vinay ,   Computer Science and Engineering Department, University Institute of Engineering Technology, Chitkara University, Rajpura, Punjab, India.
Published: December 2019

Cloud computing is attaining a pace for resolving complex computing problems. It is basically an abstracted layer of technology which has three service models: Infrastructure as a Service (IaaS), (Software as a Service) SaaS and (Platform as a Service) PaaS, which provide infrastructure, software and a platform to end-user. On the contrary, there are lots of issues which include energy efficiency, cloud integrity, data recovery, backup, etc. Security and privacy issues like data confidentiality and integrity are the most critical ones. This paper highlights the security issues related to data stored and data access from back end (service provider). It collates each and every application related to cloud and available techniques to resolve some issues. Very less research work has been done on applications and security issues of cloud computing together. This article is an analysis of cloud computing applications and security issues as it is used to a great extent. In future this paper will help research community to grab information regarding applications and techniques to resolve the issues related to Cloud computing.
Removal of Baseline Wander from Electrocardiogram using Ensemble Empirical Mode Decomposition and Low Pass Filter
Authors:   Department of ECE, National Institute of Technology, Warangal, India, Bodile* Roshan M. , Rao T.V.K. Hanumantha ,   Department of ECE, National Institute of Technology, Warangal, India
Published: December 2019

Electrocardiogram (ECG) is a graphical visualization of the electrical activity of human heart. The biomedical signal, such as ECG, has a major issue of separating the pure signal from artifacts due to baseline wander (BW), electrode artifacts, muscle artifacts, and power-line interference. Reduction of these artifacts is vital for clinical purposes for diagnosis and interpretation of the human heart condition. This paper presents removal of BW from ECG using ensemble empirical mode decomposition (EMD) with multiband filtering approach. A comparative performance analysis of EMD and ensemble EMD for synthetic as well as real BW on normal sinus rhythm and arrhythmia ECG signal are presented. This method can remove the BW in different inherent signal to noise ratio (SNR) including negative and positive as well. This method shows that quantitative and qualitative results with miniscule signal distortion via experiments on several ECG records.
Patrolling AI Systems in Video Games
Authors:   Research Scholar, Sathyabama University, Chennai, Balapriya* S. , Srinivasan N. ,   Professor, Department of Computer Applications, BS Abdur Rahman CRESCENT Institute of Science and Technology, Vandalur, Chennai
Published: December 2019

Artificial Intelligence is a common element in digital video games and it is one of the most essential component in modern games. Modern games are populated with Non-Player Characters (AI Characters) that performs different activities. Realism is dominating in games and AI behavio rs are expected to be more realistic in games. Games that has poor unrealistic AI elements are facing heavy criticism from the player bases. Further, modern games are highly dynamic. Classical games had static environment with less or no changes in it. Such environments made implementation of AI easy and simple. In modern games, Progressive terrain generation and other such content generation methods increases the complexities of building an efficient AI for games that has many changes in real time. One of the most common AI in games is Patrolling AI especially in Shooter and Adventure Games. Patroling AI involves path finding and obstacle attack or defense. RRT algorithm and its variants are highly successful Probabilistic Determination AI that produced effective results in real time robotic movement. In order to build efficient Patrolling AI for games, a real time RRT* variant called RT-RRT* algorithm was employed. The algorithm is flexible enough to add various behaviors in addition to path finding which makes it more suitable for games. The algorithm takes samples from the environment and construct the efficient path. Also the algorithm inspect the environment in run time to ensure that no moving obstacle blocks the path. In such case, it rewires and create a new path. In order to manage the dynamic obstacles, a Real Time Obstacle Handling Algorithm was designed and employed in a dynamic game environment. The algorithms inputs the obstacles types and parameters. On identifying the obstacle approaching the AI in terrain, it tells the agent to perform the needed actions. The simulations was carried out using Unity Game Engine. The model proposed helped to create efficient patrolling AI that handle two major aspects of patrolling which is Path finding and Obstacle handling. The model will be highly suitable for dynamic game environments with lots of uncertainty and emergence.
www.ijrte.org
Authors:   Department of Computer Science and Engineering, MLR Institute of Technology, Dundigal, Hyderabad, India., Jyothi G. Divya , Shirisha* N. ,   Department of Computer Science and Engineering, MLR Institute of Technology, Dundigal, Hyderabad, India.
Published: December 2019

These days new technologies have been introduced by this new academic trends also have been came into existence into the education system. And this leads to huge amounts of data which makes a big challenge for the students to store the preferred course. For this many data mining tools have been invented to convert the unregulated data into structured format to understand the meaningful information. As we know that Hadoop is a distributed file system which is used to hold huge amounts of data this stores the files in a redundant fashion across multiple machines. Due to this it leads to failure and parallel applications do not work. To avoid this problem we are using Mapreduce for decision making of students in order to choose their preferred course for industrial training purpose for their effective learning techniques to increase their knowledge and capability.
Performance Evaluation of the Semantic Web Reasoners
Authors:   Chitkara University Institute of Engineering & Technology, Chitkara University, Punjab, India., Chaudhary* Deepika , Singh Jaiteg. ,   Chitkara University Institute of Engineering & Technology, Chitkara University, Punjab, India., Kothari D.P. ,   Director Research Wainganga College of Engineering & Management, Nagpur, India,.
Published: December 2019

The major benefit of working on Ontology Web Language (OWL) is its ability to define semantics such that the information becomes more valuable. To realize the full power of semantics, it is essential to integrate a reasoning engine to it. The software codes that perform inferences are often referred to as reasoning engines or reasoners. The reasoners can be classified into categories: tableau based and rule based reasoners. The rule based reasoners combines the assertions with a set of logical rules to infer new knowledge chunks. The Jena framework offers several ways to integrate rule based reasoners programmatically. The operation is similar to creating a more advanced model from a simpler one. The objective of this paper is to list and classify the reasoners according to OWL 2 profiles thereafter the focus of this study is to develop a model which evaluate the performance of Semantic Web Reasoner based on few parameters.
Active Power Transfer Enhancement in VSC using Impedance Compensated DSRF-PLL during Weak Grid Condition
Authors:   Dept. of Electrical Engineering, Gujarat Technological University, Ahmedabad, India., Kunpara* Atul , Kamat Vithal N. ,   Managing Director, Baroda Electric Meters Ltd., New Vallabh Vidhyanagar, India.
Published: December 2019

In last two decades the use of renewable sources has been increased tremendously. This has increased the number of inverters connected to grid for the integration of energy from renewable sources. The stability of grid tied inverter is very much important with increased number of inverters. Especially in weak grid, which leads to voltage fluctuation, stability of inverter needs more attention. For a stable operation of VSC it is very important to detect the phase of grid voltage at point of common coupling (PCC) with proper accuracy. In this paper a Double Synchronous Reference Frame PLL (DSRF-PLL) with grid impedance compensation is presented. It is shown that with grid impedance compensation in phase detection, a VSC can be virtually synchronized at a stronger point of common coupling (PCC) in grid and this will enhance the active power transfer capacity of VSC with stable operation in weak grid condition. MATLAB simulation results are presented to verify the findings.
Improvement of Information and Communication Technology (ICT) Maintenance in Government Institution using Hybrid of Six Sigma and Several Decision Support Methods
Authors:   Graduate Program, Master of Information Technology, Bina Nusantara University, Jl KH Syahdan 9, Jakarta 11480, Indonesia, Adytiansyah* Nanda , Wibowo Antoni ,   Graduate Program, Master of Information Technology, Bina Nusantara University, Jl KH Syahdan 9, Jakarta 11480, Indonesia
Published: December 2019

Nowadays, the development of ICT devices is growing very rapidly. Many companies and governments invest a lot of funds on the ICT side to optimize and cut operational costs as effectively and efficiently as possible. This paper discussed the issue of the maintenance of ICT equipment in the Indonesian constitutional court which is spread in 42 locations throughout Indonesia. The current problem is that there is no maintenance of ICT in the Constitutional Court of the Republic of Indonesia in 42 cities throughout Indonesia, so it is difficult to overcome the technical problems that occur. In this paper, Six sigma is combined with several decision-making methods to minimize technical disturbances in the ICT device to the right selection of vendors to carry out the ICT maintenance. The proposed method that we did to optimize maintenance services using a hybrid DMAIC six sigma which then improved the quality of analysis using brainstorming and decision making on the best vendors using AHP. The hybrid of six sigma is very instrumental in reducing the weakness of six sigma which forces the process of monitoring diligently and continuously. This research yielded better service quality compared to the current system for maintenance ICT at the Indonesian Constitutional Court.
Classification of Sentiment Based on Movie Feedback Given By Audiences
Authors:   Electronics and Telecommunication, Maharashtra Institute of Technology ,Pune,India., Shah* Sumedh , Anuse Alwin ,   Electronics and Telecommunication, Maharashtra Institute of Technology ,Pune,India., Kute Rupali ,   Electronics and Telecommunication, Maharashtra Institute of Technology ,Pune,India.
Published: December 2019

The need for generating automated sentiment on audience feedbacks has been the need of the hour. Manually going through the entire movie feedback becomes tedious therefore an attempt to predict the polarity of a movie based on the reviews using machine learning models is done. Usage of the IMDB movie reviews dataset has been done for training and testing. In this study we also try to depict the real-life problems of class imbalance and train-test splits, hence obtaining solutions for the same. The problem of class imbalance in today’s world has affected a large amount of predictive applications such as cancer detection , fraudulent transactions in banks etc, hence this study is an attempt to perform a solution to solve the class imbalance problem. Use of the undersampling method has been done in this study to improve the accuracy of an imbalanced class. Feature extraction methods such as Bag of Words and Term Frequency Inverse document Frequency have been used to generate features from the reviews. The Logistic regression and SVM classifiers have been used in the study to measure the accuracy. Along with the accuracy the Confusion Matrix has also been calculated to showcase the class imbalance taking its effect on the accuracy.
Python based Frequency Sampling Technique Algorithm for Hearing Impairment
Authors:   She is pursuing her Post Graduation from the Department of VLSI and Embedded Systeem of Pimpri Chinchwad College of Engineering, Pune, India., Mahadik* Yogita S. , Kolte Mahesh T. ,   professor in the Department of Electronics and Telecommunication(VLSI and ES), Pimpri Chinchwad College of Engineering, Pune, India.
Published: December 2019

Hearing is taken into account because the most vital senses of humans connects us to the world always and the communication between humans are mostly by speaking and listening. As per World Health Organization, 466 million People at Risk of the hearing impairment across the world. It adversely affects physical, behavioral, and social functions, as well as the general quality of live. The most task of the hearing aid is used to by selection amplify the audio sounds such the processed sound can be audible for hearing impairment. In this work, frequency sampling method is used to design a filter for hearing impairment. The proposed algorithm is implemented using python programming. The sound is categorized into two ways vowels and consonants. Vowels have low frequencies that means high pitch and are easier to hear. Consonants have higher frequencies and harder to hear. The changes in formants and pitch is observed which would be useful speech for hearing impaired.
Enhancement of Transient State in MPPT Techniques for PV Grid Connected System
Authors:   Department of Electrical Engineering, Government college of Engineering Aurangabad, India., Dahate* Neha S. , Bhasme Dr. N. R. ,   Department of Electrical Engineering, Government college of Engineering Aurangabad, India.
Published: December 2019

Instead of using non-renewable energy sources, industry researchers have wide applications in renewable energy sources such as hydro, wind and solar which are highly preferable because of having huge advantages like easily erectable and abundance in environment. For obtaining the high quality in electric power system, the system requires special conditions while connected to the grid. This paper shows the interfacing of Photovoltaic system connected to 3-phase grid. To ensure the highest output power of Photovoltaic system, a DC to DC converter with Maximum power point tracking (MPPT) is required. In this work, comparative analysis has been carried out for the MPPT techniques with topology β- method which is connected in parallel to perturb and observe method. The above proposed method enhances the dynamic performance of the system and effective under the steady state as well as transient state. The proposed system is implemented and simulated in MATLAB/Simulink. Analysis of simulation results are carried out for validation of system.
GDP Impact on Efficiency Gains of Transportation and Distribution of Nascent Informal Sectors in India
Authors:   Assistant Professor In The Department Of Corporate Secretaryship, Alagappa University, Karaikudi, Ganesamurthy* Dr.K. , Morarji Dr.A. ,   Professor In The Department Of Corporate Secretaryship, Alagappa University, Karaikudi., Rajan Mr. M. Naghappa ,   Manager In Ibm India Pvt. Ltd., Bangalore
Published: December 2019

The transportation and distribution (T&D) of nascent informal sectors, it is important to have a good performance in operations. In order to achieve high performance, it is necessary to know which operational factors are critical for success and which are less important. Only then can management focus attention on those factors that have a strong effect on performance. In The India a large project has been carried out to find these critical operational success factors. The progress in techniques and management principles improves the moving load, delivery speed, service quality, operation costs, the usage of facilities and energy saving. Transportation takes a crucial part in the manipulation of logistic. The objective of study is the impact on GDP from logistics savings. To measure efficiency gains of drivers in logistics savings, to study the effect of efficiency gains on nominal GDP. The study is case study method adopted based on secondary data and it is concluded that the GDP impact on efficiency gains of transportation and distribution of nascent informal sectors in India exhibited that customers’ final bill remains same; Transport company’s profits go up and customer takes away all the savings.
The Effect on Strength of Concrete by Partial Replacement of Cement and Fine Aggregate with Flyash, Granite Powder and Plastic Fibres
Authors:   Assistant professor, Aditya institute of technology and Management, Tekkali, Andhra Pradesh, India., Divyasri* V. , Chaitanya B.K. ,   (M.Tech), Aditya institute of technology and Management, Tekkali, Andhra Pradesh, India., Amlal  ,   Associa professor, Aditya institute of technology and Management, Tekkali, Andhra Pradesh, India.
Published: December 2019

The rapid growth of the population leads to a requirement of infrastructure this leads to scarcity of raw material for construction such as cement and sand. The other hand pollution growing due to thermal power plants, granite polishing unit and plastic waste this need to be removed. This gives an idea of using this compound as a raw material in concrete making. This concept found to effective minimizes disposal of fly, granite power and plastic wastes, and leads towards Green Building Concepts. In this investigation of M25 grade normal concrete is made by cement, sand, and aggregate which is tested and compared by special concrete. The concrete mix is prepared as per 10262 -2019 by adding replacing small amount of Fly ash in place of cement OPC 53 grade, and fine aggregate is prepared by partial replacing with granite powder (0%,10%,20%,30%)and another mix is prepared by adding 0.5 nylon fiber, partial replacement of fine aggregate with granite powder (0%,10%,20%,30%)specimens are casted . The casted specimens are tested for split tensile strength and compressive strength 7, 14 and 28 day’s respectively and these results also compared with each other. I t is observed that compressive strength and split tensile of concrete at 28days of curing show max value when compared with normal concrete. When the percentage of granite powder increases to 30% it shows that a decrease in both split tensile strength of concrete and compressive strength. When we added fiber to the concrete there is an increase in compressive strength and split tensile strength but there is a not much increase in compressive strength but increase in split tensile strength
Impact and Hardness Characteristics of Cfrp-Kenaf-Abaca Fiber Composites
Authors:   Department of Mechanical Engineering, Sri Sairam Engineering College, Chennai, India., Kumar* R. Senthil , Krishnaraj S. ,   Department of Mechanical Engineering, Sri Sairam Engineering College, Chennai, India., Ramnath B.Vijaya ,   Department of Mechanical Engineering, Sri Sairam Engineering College, Chennai, India.
Published: December 2019

Industries call for green materials which will supervene upon the ancient materials through virtue of their high strength to weight ratio. Composite substances of herbal behavior satisfy the above desires with a aggregate of one or more materials. In this paper, the combination of herbal fibers mainly Abaca and Kenaf are taken as reinforcement and CFRP as matrix medium. Here the Composite is laminated using Compression Moulding Method. Impact and Hardness Tests has been done to determine the mechanical behavior of the composite laminate. It has been concluded that the Category II suggests better mechanical property when compared to the other two categories and observed Impact energy of 6 Joule and Hardness of 108 HRB respectively. Scanning Electron Microscope was done to observe the internal mechanical behaviour of the composite laminate. From SEM it is noted that minimum propagation of crack and voids present in the composite laminate. It has been observed that this hybrid composite laminate can be implemented wherever high impact energy demands.
Facial Expression Recognition using SVM With CNN and Handcrafted Features
Authors:   Assistant Professor (Senior Grade), Department of CSE, Mepco Schlenk Engineering College, Sivakasi – 626005, India., Priyanka* G. , Pavithra S. ,   PG Student, Department of CSE, Mepco Schlenk Engineering College, Sivakasi – 626005, India.
Published: December 2019

The facial expression recognition system is playing vital role in many organizations, institutes, shopping malls to know about their stakeholders’ need and mind set. It comes under the broad category of computer vision. Facial expression can easily explain the true intention of a person without any kind of conversation. The main objective of this work is to improve the performance of facial expression recognition in the benchmark datasets like CK+, JAFFE. In order to achieve the needed accuracy metrics, the convolution neural network was constructed to extract the facial expression features automatically and combined with the handcrafted features extracted using Histogram of Gradients (HoG) and Local Binary Pattern (LBP) methods. Linear Support Vector Machine (SVM) is built to predict the emotions using the combined features. The proposed method produces promising results as compared to the recent work in [1].This is mainly needed in the working environment, shopping malls and other public places to effectively understand the likeliness of the stakeholders at that moment.
Design and Development of Efficient Multipath TCP for Data Center in Public Cloud
Authors:   Dept., of CSE, BGSIT, Adichunchanagiri University, BG Nagar, Mandya, INDIA, S V* Shashikala , G.K Dr. Ravikumar ,   Dept., of CSE, BGSIT, Adichunchanagiri University, BG Nagar, Mandya, INDIA.
Published: December 2019

In recent days, variety of application development making use of cloud data centers effectively for analyzing data, processing related applications such as interactive and batch processing. Some of the factors influence on network performance by maintaining low delay, high-speed data transfer and more reliability. Maintaining and satisfying these factors becomes a challenging issue due to dynamic variations on network. TCP (Transmission control Protocol) proposed recently a new concept of multi-path TCP (MPTCP) for maximum utilization of paths over network flow. In spite of its added advantages, some sort of work on MPTCP to be carried out on cloud environment and further, efficient way of using MPTCP on real-world cloud application still looks like unclear problem. Our proposed work concerned on MPTCP usage in most effective and feasible way for cloud and data center environments over various conditions on network. The experiment is conducted by clustering the public cloud data using k-means algorithm and communicated over a network using MPTCP. The results shows that the proposed method yields high-speed data transfer and low communication delay when compare to traditional TCP technique.
Speed Control Analysis of Permanent Magnet DC motor with Zeta Converter
Authors:   Department of Electrical and Electronics Engineering,Vel Tech Multi Tech Dr.Rangarajan Dr.Sakanthala Engineering College,Chennai,India., Priya* T.Nandhini
Published: December 2019

This Paper explains the performance analysis of Permanent Magnet DC motor. Here the Solar PV cells are used as a source and connected through the zeta converter and the DC voltage of the converter is fed to armature of the DC motor.The Zeta Converter is a fourth order DC to DC converter made up of two inductors and two capacitors operating as either step up or step down.and The Performance such as Speed are analyzed with MATLAB simulink. The results of the plots are discussed in the below studies.
Public Administration and Innovation Policy in a Networked Society
Authors:   Department of Public Administration and Public Service, the National Academy of Public Administration under the President of Ukraine, Kyiv, Ukraine, Suray* Inna , Suprunenko Svetlana ,   Management Department, University of State Fiscal Service of Ukraine, Irpin, Ukraine, Kartashova Olga ,   Department of Public Management and Administration, Kherson State Agrarian University, Kherson, Ukraine, Bondar Oleksandr ,   Department of Civil Law Disciplines, Dnipropetrovsk State University of Internal Affairs, Dnipro, Ukraine, Gerashcenko Vadym ,   Production and Investment Management Department, National University of life and environmental sciences of Ukraine, Kyiv, Ukraine, Karpenko Roman ,   Department of Civil Law Disciplines, Dnipropetrovsk State University of Internal Affairs, Dnipro, Ukraine
Published: December 2019

In modern conditions of global transformations and the growth of crisis phenomena in the global economy, the question of finding and developing alternative economic models becomes urgent. As a tool for stimulating economic development and a new source of growth, innovations and the results of scientific and technological activities were chosen. This approach was theoretically developed and described at the beginning of the last century, but it has become in demand only now. The development of the innovative sector of the economy leads to the emergence of qualitatively new technologies and is non-linear. The complexity of management objects, the dynamism of innovative processes, which, in turn, transform the economy, markets, institutions, are growing. Changing management objects require new scientific theories, management technologies and tools. In this article, the author analyzes modern economic and technological trends, identifies the main scientific theories that describe these processes, identifies trends in changes in management sciences. The article discusses the classification of models of innovative development, outlines the main directions of changes in the state management of innovative development and innovative infrastructure. Based on the study, the systematic changes in the role of the state in building an innovative economy are systematized, the emerging formats of managerial structures and the institutions for the development of innovative infrastructure are described.
Modeling and Analysis of Asymmetrical Modified Hybrid Thirty One Level Inverter with Reduced THD
Authors:   Faculty of Electrical and Electronics Engineering, Vel Tech Rangarajan Dr.Sagunthala R&D Institute of Science and Technology, Chennai, India., Sreedhar R. , Chandrasekar P. ,   Head of the Department, Electical and Electronics Engineering, Vel Tech Rangarajan Dr.Sagunthala R&D Institute of Science and Technology, Chennai, India., Lalhriatrengi  ,   PG Scholar, Electical and Electronics Engineering, Vel Tech Rangarajan Dr.Sagunthala R&D Institute of Science and Technology, Chennai, India.
Published: December 2019

This paper proposes a 1Φ 31 level inverter using minimum number of switching devices and improved THD level. Multi Carrier based Pulse Width-Modulation (MC-PWM) control method is used to control MOSFET switches in input and load side. In this paper a modified hybrid asymmetrical multilevel inverter using eight numbers of switching devices driven by the multicarrier modulation technique is proposed. This inverter produces thirty one levels at output from four different dc voltage sources. Also THD level is taken into consideration to maintain the power quality. The proposed 31 level inverter is verified through MATLAB simulink.
Evolving Artificial Perception by Integrating Nlp and Cv
Authors:   assistant professor in SRM Institute of Science and Technology, Ramapuram, Prabu* M. , Saif Mohammed ,   B. Tech degree in Computer Science from SRM Institute of Science and Technology, Ramapuram., Barathi P Naveen ,   B. Tech degree in Computer Science from SRM Institute of Science and Technology, Ramapuram, Venthan Kailash ,   B. Tech degree in Computer Science, SRM Institute of Science and Technology, Ramapuram.
Published: December 2019

This paper discusses the concept of integrating artificial perception of an artificial intelligence by integrating NLP and CV, this should be able to solve 50% of problems where the data is usually in a raw format and not understandable by the machine. This method helps in the automatic labelling and understanding the data so it is easier for the machine to understand and help in our day to day tasks. “Perception is the ability to become aware of something which is internal or in the external environment through the use of the 5 senses” this is a natural capability of humans but has never properly been achieved in a machine. In the past five years massive strides have taken place in both natural language processing and computer vision but none of these advancements have increased the intelligence and perception of computer systems in the dramatic way that was expected. This difference in what was expected and what has finally been delivered is due to the fact that both these fields have evolved separately whereas perception requires these two dimensions of hearing (Natural Language Processing) and vision (Computer Vision) to be integrated.
Tribological Analysis of Arachis Hypogaea Powders Reinforced on Epoxy Based Green Composites
Authors:   Research Scholar, Department Of Mechanical Engineering, Dr Mgr Educational And Research Institute University, Maduravoyal, Chennai-600095,India., Sukkur* S. A. Abdul , Vijayakumar K. R. ,   Professor, Department Of Mechanical Engineering , Dr Mgr Educational And Research Institute University, Maduravoyal, Chennai
Published: December 2019

In this work, the effect of Arachis hypogaea powders, on the wear and morphological analysis of epoxy resin bio powders Potassium permanganate (KMnO₄) treated and un treated (Arachis hypogaea shall powder filler loading 5, 10, 15, 20, 25 vol %) had been investigated. Composite Specimens were prepared by using hand layup method. Tests were conducted to evaluate wear properties of the epoxy composite. The results indicated that the Potassium permanganate (KMnO₄) Arachis hypogaea bio filler had significant influence on the wear properties. Surface Morphological properties were examined using the SEM images of wear tested specimen.
Information Extraction using Tokenization And Clustering Methods
Authors:   Assistant Professor, Department of Computer Science, St.Pius X college Rajapuram, Kasargod, Kerla, Joseph* Jincymol , Jeba Dr.J R ,   Associate Professor & HOD, Department of Computer Applications Noorul Islam Centre of Higher Education, Kumaracoil, Tamil Nadu.
Published: December 2019

World Wide Web has become a powerful platform for retrieval and storage of information. It is a collection of text, image and multimedia files in structured, semi structured and unstructured form. These tremendous volumes of information cannot be processed so simply. An efficient and useful algorithm is required to discover information from these data. Text mining is a method for extracting meaningful information from large volume of data. Unstructured text is easily processed by humans but it is harder for machines. Text mining task involve methods such as tokenization, feature extraction and clustering.
Computational Algorithms for Deep and Shallow Word Search in Sanskrit with Case-inflected Forms of Feminine and Neuter Nouns
Authors:   Department of Computer Science, Meenakshi College for Women, Chennai, India., V. Rajitha , R.* Suganya ,   Department of Computer Science, Meenakshi College for Women, Chennai, India., Lakshmanan Meenakshi ,   Department of Computer Science, Meenakshi College for Women, Chennai, India.
Published: December 2019

Effective and comprehensive word-search in Sanskrit E-text is a non-trivial problem in natural language processing that has been solved in this work for the first time in the literature. The problem is also one of great benefit to a variety of users. The complexity of the problem stems from the fact that words in Sanskrit can get completely metamorphosed on account of the phenomena of euphonic conjunctions and case-inflected forms. This work deals with the case-inflected forms of feminine and neuter gender nouns in particular, and their bearing on the search problem. The novel computational model presented here for generating case-inflected forms of Sanskrit nouns involves a categorization of word forms and a development of new formulae to achieve the generation of case-inflected forms. Pre-processing to improve the performance of the algorithm based on these formulae has also been developed. This model has been extended to include processing of euphonic conjunctions to enable a more elaborate search and to thereby produce meaningful search results. The dual paradigms of deep/slow and shallow/fast searching have been handled in this work and the efficiency of the fast search algorithm developed is shown to have an increased efficiency of 77-80%. The work also discusses the trade-off between search accuracy and speed in the context of word-search in Sanskrit E-text.
ARIMAX Model for Short-Term Electrical Load Forecasting
Authors:   Assistant Professor, Department of Electrical and Electronics Engineering, Sri Siddhartha Institute of Technology, Tumakuru, Karnataka, India., G N* Shilpa , Sheshadri Dr. G S ,   Professor, Department of Electrical and Electronics Engineering, Sri Siddhartha Institute of Technology, Tumakuru, Karnataka, India.
Published: December 2019

The scope for ARIMAX approach to forecast short term load has gained a lot of significant importance.In this paper, ARIMAXmodel which is an extension of ARIMA model with exogenous variables is used for STLF on a time series data of Karnataka State Demand pattern. The forecasting accuracy of ARIMA model is enhanced by taking into consideration hour of the day and day of the week as exogenous variables for ARIMAX model. Forecasting performance is thus improved by considering these significant load dependent factors. The forecasted results indicate that the proposed model is more accurate according to mean absolute percentage error (MAPE) obtained during the testing period of the model. As the historical load data are available on the databases of the utility, researches in the areas of time series modelling are ongoing for electrical load forecasting. In the proposed paper real time demand data available on Karnataka Power Transmission Corporation Ltd. (KPTCL) website is taken to develop and test the proposedload forecasting model.The power utility system operational costs and its securitydepend on the load forecasting for next few hours. Regional load forecasting helps in the accurate management performance of generation of power plant. Today’s deregulated markets have great demand for prediction of electrical loads, required for generating companies. There has been tremendous growth in electric power demand and hence it is very much essentialfor the utility sectors to have theirdemand information in advance.
Eeg Signal Enhancement using DWT
Authors:   Research Scholar, Department of Electronics and Communication Engineering, JNTUA Anantapuramu, Andhrapradesh, India, Reddy* Sreenath , Reddy Dr. P. Ramana ,   Professor, Department of Electronics and Communication Engineering, JNTUA, Ananthapuramu Andhra Pradesh, India
Published: December 2019

The Encephalogram Signal (Eeg), Which Provides Essential Information On Various Brain Behaviors Is An Anatomical Non-Stationary Signal. Encephalogram Analyzes Are Useful For The Treatment Of Neurological Diseases Such As Encephalopathy, Cancers, And Many Other Injury Issues. Eeg Impulses Are Observed And Analyzed Using Electrodes With A Typically Very Minute Frequency On The Scalp, Rendering The Processing And Collecting The Data From That Signal Very Challenging. Due To The Introduction Of Objects Like Powerline Interference, Different Muscle Movements, Blinkers, Eye Movement, Heartbeat, And Breathing, The Eeg Signal Is Difficult To Analyze. Correctional Infection Treatment Requires A Thorough Examination Of Encephalograms. Denoising Issues Are Somehow Diverse Because They Are Focused On Signal Types And Sounds And Because Of Their Shrunk Features The Distinct Wavelet Gives An Effective Solution For Denouncing Non-Stationary Signals Such As Eeg. This Paper Describes The Distorted Eeg Signal With Three Completely Different Wt Strategies Such As Dwt, And Two Specific Thresholding Methods, Such As Hard Thresholds And Weak Thresholds. Compared With Roots Mean Square Error (Rmse) And Signal To Noise Ratio (Snr), The Output Of These Approaches Is Comparable.
Feasibility of CareToy Early Intervention in infants with Down Syndrome
Authors:   Child Neurologist and Psychiatrist, Department of Developmental Neuroscience, IRCCS Fondazione Stella Maris, Pisa, Italy, Inguaggiato* Emanuela , Beani E ,   Pediatric Physical Therapist, Department of Developmental Neuroscience, IRCCS Fondazione Stella Maris, Pisa, Italy., Sgandurra *Giuseppina ,   Child Neurologist and Psychiatrist, Department of Developmental Neuroscience, IRCCS Fondazione Stella Maris, Pisa and Department of Clinical and Experimental Medicine, University of Pisa Italy, Cioni Giovanni ,   Full Professor and Child Neurologist and Psychiatrist, Department of Developmental Neuroscience, IRCCS Fondazione Stella Maris, Pisa and Department of Clinical and Experimental Medicine, University of Pisa Italy, DD CareToy ,   (Developmental Diosrders) Consortium, Stefania Bargagna, IRCCS Fondazione Stella Maris, Pisa, Italy; Martina Orlando IRCCS Fondazione Stella Maris, Pisa, Italy; Giulia Purpura IRCCS Fondazione Stella Maris, Pisa, Italy
Published: December 2019

CareToy (CT) System has been recently developed and validated in preterm infants with positive effects at short-term both on visual and motor development. Objective. We aimed to assess the feasibility of CT training in infants with Down Syndrome (DS) and to evaluate the effects of the CT training in promoting their neurodevelopment. Methods. 10 infants with DS aged 6.16 ± 1.54 months were recruited and allocated in two groups: CareToy (CT) or Standard Care (SC). 5 infants of the CT group performed CT Intervention in the clinical setting for 5 weeks; other 5 infants were followed as SC for the same period. Data about the feasibility of the intervention were collected. Moreover, all recruited infants performed motor and visual assessment at baseline (T0) and in the week after the CT or SC periods (T1; 5 weeks after T0). Results. All infants allocated in the CT group performed the CT training with good compliance. In all outcome measures the mean delta changes (T1-T0) showed promising positive effects of the training in the CT group, compared to SC. Conclusions. CT demonstrated its feasibility for providing EI also in infants with DS and its effects seems promising. However, further large RCT studies are needed.
Mathematical Modeling of Suspended Microbial Fuel Cells and Electron Transfer Mediator using Homotopy Perturbation Method
Authors:   Department of Mathematics, Government Arts College, Ariyalur, Affiliated to Bharathidasan University, Thiruchirappalli, India, Jeyabarathi* P. , Kannan M. ,   Department of Mathematics, Government Arts College, Ariyalur, Affiliated to Bharathidasan University, Thiruchirappalli, India, Rajendran L. ,   Department of Mathematics, AMET, Deemed to be University, Chennai 603-112, India
Published: December 2019

The theoretical model of microbial fuel cells with suspended cells and an additional electron transfer mediator is analyzed. Many biological, chemical and electrochemical reactions occur in the bulk liquid and on the surface of the electrode with the substrate (glucose), oxidized mediators and reduced mediators. The homotopy perturbation method (HPM) is used to solve the nonlinear diffusion equations in microbial fuel cells. Direct and approximate polynomial expression of a substrate (glucose), oxidized mediator and reduced mediator concentration are obtained at the mass transfer balance layer. The results of the experiment are compared with the results of the analytical and simulation and satisfactory agreement is noted.