bluuebunny/crossref_metadata_2025 huggingface dataset:
Semantic Retrieval of Web Documents using Topic Modeling Based Weighted Nearest Neighborhood Technique
Authors:   Assistant Professor (Sr.Gr.), Department of Information Technology, B.S.Abdur Rahman Crescent Institute of Science and Technology, Chennai, India, Priyadarshini R. , Tamilselvan latha ,   Department of Information Technology, B.S.Abdur Rahman Crescent Institute of Science and Technology, Chennai, India, Rajendran N. ,   Assistant Professor (Sr.Gr.), Department of Information Technology, B.S.Abdur Rahman Crescent Institute of Science and Technology, Chennai, India
Published: November 2019

Information retrieval systems are used to retrieve documents based on the keyword search. Semantic-based information retrieval is beyond standard information retrieval and uses related information to get the documents from the corpus. But semantic retrieval based documents is not efficient enough in real time. Content from the user’s profile is used for searching the web documents. The documents which exactly matches the user requirement is retrieved and it improvises the personalized retrieval. In this paper, a methodology based on topic modelling is proposed to determine the retrieval of information for user to increase the accuracy of documents using Latent Dirichlet Allocation (LDA) and Weighted Nearest Neighbor (WNN) models. LDA model is developed to retrieve documents based on topics. The topic based retrieval is improvised using personalization technique which uses WNN model. Experimental analysis on building personalization and semantic retrieval of documents shows the improved precision compared to existing topic modeling.
ESSU CCS ATGG: Eastern Samar State University College of Computer Studies Automated Teacher’s Grading Guide
Authors:   College of Computer Studies, Eastern Samar State University Philippines, Villaluz Lourence R.
Published: November 2019

The study ESSU CCS ATTG (Eastern Samar State University College of Computer Studies Automated Teacher’s Grading Guide) aims to develop a desktop application which will serve as locally networked examination tool for ESSU students. The software can be a repository of student grades in different classroom activities specifically quizzes, major exams, class participation and major exams. Another feature of the software is it is capable of computing student final grades and send the result to a mobile phone number registered in the system for each student. Also, the software is capable for retrieving, editing and deleting stored data and can store new data. The software was developed to lessen the time consumed by the ESSU teachers in computing the student’s rating in the quizzes, activities, laboratories and final grades. In the entire development of the project, the researcher used extreme programming as the software development tool and the client-server as the System Architectural Style. IBM computer usability scale was the tool used by the researcher to evaluate the software. The software can be used by ESSU CCS teachers in creating examinations and producing final grades. It can also be used by the students in taking the examinations and checking their examination results after. Retrieving previous examination result can also be done by the students through the system.
Diagnosis of Coronary Artery Diseases using Classification Algorithms based on Wavelet Transforms
Authors:   Department of CSE, K L E F, Vaddeswaram, Guntur, Andhra Pradesh, India., Kumar T Rajesh , Rao A. Srinivasa ,   Department of CSE, K L E F, Vaddeswaram, Guntur, Andhra Pradesh, India., B. Ashok ,   Department of CSE, K L E F, Vaddeswaram, Guntur, Andhra Pradesh, India., Kumar E. Rajesh ,   Department of CSE, K L E F, Vaddeswaram, Guntur, Andhra Pradesh, India.
Published: November 2019

One of the primary drivers of the death in the world is Coronary Artery Diseases (CAD) which is a major threat in developing and developed countries. The fundamental drivers in CAD leads to blockage of the coronary lumen subsequently blood clot and that prompts to damage of heart muscles or unexpected heart attack which causes death. It is difficult to ascertain that a certain person has been affected by CAD, since there are bunch of parameters has been involved to ascertain the conclusion. Classification has been done using wavelet transform to classify the certain parameters. We analyzed following methods such as NB, Logistic, SMO, RBF Network, K-star, Multiclass Classifier, Conjunctive rule, Decision table, LMT, NB Tree, DTNB, LAD Tree, Random Tree and Random Forest calculations has been associated with extensive fragment of the surveys. This database has been generated from UCI machine learning database. In this paper, we used k-fold cross validation with k values as 10, with 14 properties and calculations of Accuracy, Precision, TPR, FPR, Recall, F-measure and ROC are analyzed practically. The experimental evaluation shows the improvement in accuracy rate of 77.0%, by using the Logistic, SMO and LMT algorithms than the traditional method.
Image Compression using Different Vector Quantization Algorithms and Its Comparison
Authors:   ECE, College of Engineering and Technology, Bhubaneswar, Odisha, India, Mohanta Gayatri , Mohanta Harish Chandra ,   ECE, Centurion University of Technology and Management, Bhubaneswar, Odisha, India
Published: November 2019

Image compression techniques are presented in this paper which can be used for storage and transmission of digital lossy images. It is mostly important in both multimedia and medical field to store huge database and data transfer. Medical images are used for diagnosis purposes. So, vector quantization is a novel method for lossy image compression that includes codebook design, encoding and decoding stages. Here, we have applied different lossy compression techniques like VQ-LBG (Vector quantization- Linde, Buzo and Gray algorithm), DWT-MSVQ (Discrete wavelet transform-Multistage Vector quantization), FCM (Fuzzy c-means clustering) and GIFP-FCM (Generalized improved fuzzy partitions-FCM) methods on different medical images to measure the qualities of compression. GIFP-FCM is an extension of classical FCM and IFP-FCM (Improved fuzzy partitions FCM) algorithm with a purpose to reward hard membership degree. The presentation is assessed based on the effectiveness of grouping output. In this method, a new objective function is reformulated and minimized so that there is a smooth transition from fuzzy to crisp mode. It is fast, easy to implement and has rapid convergence. Thus, the obtained results show that GIFP-FCM algorithm gives better PSNR performance, high CR (compression ratio), less MSE (Mean square error) and less distortion as compared to other above used methods indicating better image compression.
Effect of Nano Particle Addition on the Performance and Emission Characteristics of a Compression Ignition Engine
Authors:   Assistant professor in the department of mechanical engineering at Sri Krishna College of Engineering and Technology, Coimbatore, India., S Mr. Vignesh , R Dr. Ramamoorthi ,   Professor in the department of mechanical engineering at Sri Krishna College of Engineering and Technology, Coimbatore, India.
Published: November 2019

Inorganic nanotubes are attracting the attention of many scientists and investigators, due to their outstanding application potential in different fields. Researches have been performed in the field of internal combustion engines by adding nanoparticles into the diesel fuel and in biodiesel and blends and their effect on overall performance were studied. It is understood that doping of nanoparticles tend to decrease the emission levels from the engines. Owing to that idea, this project is directed to investigate the effect of doping nanoparticle over the performance and emission characteristics of a compression ignition engine. Nanotubes are mixed with diesel fuel as a fuel additive at different compositions that are 25 ppm, 50 ppm, 100 ppm to find the variation in performance and emission characteristics and results indicate that nanoparticle doped fuel shall be used as an alternate fuel without any modifications to engine structure.
Gross National Income Growth and Foreign Direct Investment: Causation in the presence of Crisis in India
Authors:   Assistant Professor, Department of Management, CMRInstitute of Technology, Bengaluru, India, Chowdhury Piyali Roy
Published: November 2019

Gross National Income (GNI) of an economy explicates the standard of living of the population residing in a country. The growth in GNI indicates a successful development for a nation. In this paper, an interrelation between GNI growth and Foreign Direct Investment (FDI) has been discussed in the presence of Indian economic crisis by implementing the Auto Regressive Distributed Lag (ARDL) Modelling approach. The data are ranging from the time of 1991 to 2017. The relationship is judged at the background of economic liberalization of India. The result shows that there exists a long-run impact of FDI on GNI growth. The existence of cointegration further necessitates the existence of short-run causality. In the short run, GNI growth Granger causes FDI. This proves that the model is significant for discussion both for the long and short run. The error correction term signifies that there exists a ninety-seven percent chance of the model to move back to its long-run equilibrium from short-run shocks. The reliability and stability of the whole model are judged by implementing CUCUM and CUSUMQ test. Finally, in conclusion, the model chosen for the study has indicated a few policy implications required for enhancing the GNI growth of India to fight back the situation of crisis.
Mining of High Value Item Sets with Negative Utility
Authors:   Information Technology, ABES Engineering College,Ghaziabad, India, Jamshed Aatif , Mallick Bhawna ,   Computer Science, Maverick Quality Advisory Services Pvt.Ltd Ghaziabad, India
Published: November 2019

The patterns generated by frequent pattern mining aims to find the frequent items without considering the utilities of the different items. The traditional association rule mining treats all items to be of equal utility. This is not always the case for a real world application. Utility based data mining is a new area of research and is complementing the frequency based approach. The main objective of Utility Mining is to identify the item sets with highest utilities, by considering profit, quantity, cost or other user preferences as the Utility of the item. Recent approaches developed so far considers the utilities of items to be same over a particular period of time. In our approach we have proposed that the utility of items vary over a period of time. Our work also proposed that the utility of items may also assume negative values. Our work thus treats the data mining in more realistic manner
Forecasting Future Atmospheric Events using Machine Learning
Authors:   Assistant Professor in VGEC Chandkheda, Gujarat, India., Rana Kaushik K. , Sarvakar Ketan ,   Assistance Professor, Information Technology department at U. V. Patel College of Engieering, Ganpat University, Kherva, Mehsana, and Gujarat, India., Mittal Anamika ,   Assistance Professor, Information Technology department at Government Engineering College, Gandhinagar, and Gujarat, India.
Published: November 2019

Over the year’s thunderstorms have been one of the major causes of death and one of the most catastrophic natural calamities in the country and the most challenging part is the prediction of thunderstorm beforehand, because of the random nature of our atmosphere. Through this research paper the attempt was made to do analyze the atmospheric stability indices (atmospheric instability causes thunderstorms) using INSAT-3D sounder data to predict thunderstorms by predicting their values using machine learning approach. By setting the indices possess a threshold value and also there is predictability in the data which can be used to predict their future values. The tephigram is used by meteorologist, scientist, weather observer, pilots to solve atmospheric temperature and humidity problems using simple graphical techniques. We can avoid extensive calculation for the mathematical relationships to generate diagram to predict the events. Meteorologists use the thermodynamic diagram daily to forecast cloud height and atmospheric stability and using the tephigram is use to generate and integrate LIVE events to show easier for the users to view the thermodynamic diagram instantly.
Agro-Industrial Complex: Specifics of Formation
Authors:   V.I. Vernadsky Crimean Federal University, Simferopol, Russia., Vorobyov Yuriy , Burkaltseva Diana ,   V.I. Vernadsky Crimean Federal University, Simferopol, Russia., Vorobyоva Elena ,   V.I. Vernadsky Crimean Federal University, Simferopol, Russia., Blazhevich Oleg ,   V.I. Vernadsky Crimean Federal University, Simferopol, Russia., Shalneva Vlasta ,   V.I. Vernadsky Crimean Federal University, Simferopol, Russia., Bugaeva Tatyana ,   V.I. Vernadsky Crimean Federal University, Simferopol, Russia., Murashova Elena ,   V.I. Vernadsky Crimean Federal University, Simferopol, Russia., Karpova Anastasia ,   V.I. Vernadsky Crimean Federal University, Simferopol, Russia.
Published: November 2019

The problems of economic security play an important role in the period of systemic crises and the exacerbation of internal and external systemic threats. Food security threats require special attention.The purpose of the article is to consider the threats to the agro-industrial complex of Crimea and propose approaches to neutralize them.The impact of the agro-industrial complex on the economic security is reflected in food independence and economic or social availability of food for the population. The disadvantages of this field can be seen from the results of the latest political events that are directly related to the economic sanctions imposed on Russia in 2014.
Secure Sharing of Data using an Algorithm Namely KAN
Authors:   School of Information Technology and Engineering, Vellore Institute of Technology, Vellore., Naidu Sadhu Narayana , Kousik IthaAravinda ,   School of Information Technology and Engineering, Vellore Institute of Technology, Vellore., Thaseen Sumaiya ,   School of Information Technology and Engineering, Vellore Institute of Technology, Vellore.
Published: November 2019

Large amount of data is transferred through the internet, which is highly insecure. This can cause disruption of data due to attacks. To resist those attacks, the analysts are centered on the distinctive sort of systems to verify the information from assaults. Some of the techniques are AES, DES, and Digital Signatures etc. These techniques are not providing abnormal state proficient of security. So, in order to increase the efficiency level, we proposed a new method called KAN algorithm which is an extension of RSA algorithm to enhance the security of normal data by utilizing graph theory approach. This algorithm can be applicable for military basis and highly information secure system.
Evaluating the Thermal Performance of Traditional and Modern Toda huts in Nilgiris Hills
Authors:   Kalasalingam School of Architecture, Kalasalingam Academy of Research and Education, Srivilliputur, Tamil Nadu, India, Priya R.Shanthi , Radhakrishnan S. ,   Prime Nest College of Architecture and Planning, Affiliated to Anna University, Chennai, Tamil Nadu, India
Published: November 2019

Architecture is a physical manifestation of the needs and aspirations of the society and is determined by the environmental, socio cultural and political climate of a place or a region. Good architecture may be defined as any built form which is sensitive to the climate and context of a place. However in spite of its effectiveness and sustainability, traditional Architecture and its methods and strategies are often undervalued and are not preferred in new constructions. The Vernacular architecture of Toda huts in Nilgiris has developed sustainable strategies in planning and construction from their long standing experience. The traditional Houses in the Hilly region and Modern Houses are examined qualitatively and quantitatively to understand the Thermal Performance of the house. The results thus obtained were compared with Olygay Bioclimatic chart and found that the Toda houses were thermally comfortable irrespective of their outdoor Climatic conditions than Modern Houses.
An Augmented Reality application for Simplifying Engineering Concepts
Authors:   received her Bachelor of Engineering degree in computer field from M. E. S. College of Engineering, University of Pune, Paigude Prasanna S. , Shaikh Dr. (Mrs.) Nuzhat F. ,   obtained her Bachelors in Computer Engineering from Cummins College of Engineering for Women, University of Pune
Published: November 2019

With the evolution of mobile devices, Augmented Reality has proved its potential in producing interesting and interactable AR environments in multiple areas. Augmented reality (AR) is an emerging technology where the perceptivity of the user is strengthened by the seamless blending of a real environment with digital virtual objects coexisting in the same physical space. It offers a canvas to imagine new methods of learning and new ways of collaborating with others beyond the frame of the screen. In education and training, AR has proved to have the potential to make learning a reality. AR has been enhanced to mixed reality since the use of Hololens which provides a mixed world to a user, where the advanced spatial mapping is used to anchor digital artifacts in physical space. The goal of this project is to develop an AR application for HoloLens using Unity game engine and Visual Studio based on engineering concepts that will provide students with eye-catching visualizations by rendering holograms for data structures, data mining and engineering chemistry so that they would learn the subjects thoroughly. MR will change how educational institutions outlook learning by delivering learning experiences that no longer depend on lectures to teach concepts or the idea of earning a degree in the course of persons’ lifelong career. It will help those students to develop interests in the subjects who prefer skipping the difficult topics.
GRT: Gurmukhi to Roman Transliteration System using Character Mapping and Handcrafted Rules
Authors:   Department of Computer science & Engineering, Sant Longowal Institute of Engineering and Technology, Longowal, Sangrur, Punjab, India., Singh Shailendra Kumar , Sachan Manoj Kumar ,   Department of Computer science & Engineering, Sant Longowal Institute of Engineering and Technology, Longowal, Sangrur, Punjab, India.
Published: November 2019

In the last two decades, the transliteration system has got significant research attention. It is observed that Punjabi to English transliteration for all type of part-of-speech words is comparably less studied. Currently, some research work in this area is carried out but only for proper nouns and some technical terms. So, there is need to focus on all type of words. The Gurmukhi to Roman transliteration (GRT) system is the first proposed system for transliteration of all kind of part-of-speech words. This system uses the handcrafted-rules and character mapping (CM) approach for transliteration between languages involved. The CM is done for Gurmukhi script with its equivalent to Roman script. It transliterates text written in Punjabi language into English language. It is tested on 65,130 Punjabi words and achieved accuracy of 99.27%, which is better than other state-of-art system results. The developed system can be used in social media text normalization, translation, sentiment analysis of multilingual text, text summarization of multilingual text, etc.
Boolean Based Mining Algorithm for Pattern Discovery Based on Human Interaction
Authors:   Research and Development Centre, Bharathiar University, Coimbatore, India,, S Ramanayagam , K Raja ,   Department of Computer Science Engineering, Dhaanish Ahmed College of Engineering, Chennai, India, K Kannan ,   Department of Information Technology, AdhiParasakthi College of Engineering, Kalavai, India.
Published: November 2019

Mining is a process that provides useful information on surfing and access pattern information based on capturing the behaviour of the user. Semantic knowledge helps to understand how the users will interact with the system. In this paper, we propose a Boolean based APriori Pattern (APP) algorithm to discover pattern based on human interaction using behavioural analysis. In the process of data mining, we have used a Boolean expression that helps to determine the pattern discovery based on the use of frequent pattern by applying association rules. The behavioural analysis is proposed based on the classification of ideas based on comments concerning positive opinion /contrary opinion during human interaction in the practical scenarios. The behavioural analysis is represented as a tree hierarchy where tree based mining is performed by the tree construction and interaction of flow patterns i.e., frequent patterns. The study shows that the successful pattern can be extracted based on the behavioural analysis of human interaction such as frequent pattern, flow interaction and relationships between the interactions.
Combined Emission and Economic Dispatch Problems using Hybrid of Particle Swarm and Teaching Learning Based Optimizations
Authors:   Pursuing Ph.D. in Electrical Engineering Department of the Punjab Engineering College, Chandigarh, India, Kaushal Rajanish Kumar , Saini Praveen ,   Pursuing Ph.D. in Electrical Engineering Department of the Punjab Engineering College, Chandigarh, India, Thakur Dr. Tilak ,   Professor, Electrical Engineering Department of the Punjab Engineering College, Chandigarh, India
Published: November 2019

with day by day increasing population and standard of human being increases the consumption of electrical energy and this increasing in the consumption of electrical energy, increases the number of generators, transmission lines to full fill the daily needs of the electrical energy. So the power system has become more complex and main source of gaseous emission. So arranging and the task of intensity framework of power system must be done in such a way that energy and emission arising due to power generation, the retribution paid by the power plant because of emission and cost paid in generation need to tackle all the while. This paper shows a reliable and effective hybrid of particle swarm optimization (PSO) algorithm and teaching learning based optimization (TLBO) for combined emission and economic dispatch (CEED) problems. The outcomes have been shown for combined emission and economic dispatch issues of standard 3 and 6-generators frameworks with consideration of transmission losses.
Optimal Placement of Capacitor to Enhance the Efficiency of the Distribution Network
Authors:   Research Scholar, Electrical and Electronics Engineering Department, KLS Gogte Institute of Technology, Belagsavi-590008, Karnataka, India., Magadum Rudresh. B. , Kulkarni Dr. D.B. ,   Professor, Electrical and Electronics Engineering Department, KLS Gogte Institute of Technology, Belagavi-590008, Karnataka, India.
Published: November 2019

In this paper optimal placement of capacitor is carried out by using exhaustive load flow analysis for minimization of the power loss at different loading conditions. The shunt capacitor mainly used for reactive power compensation to maintain the good p.f in the network to improve the overall performance of the distribution networks. The obtained results are satisfactory interms of improvement in the efficiency of the distribution network operation.
Design, Analysis and Experimental Testing of Composite Leaf Spring for Application in Electric Vehicle
Authors:   M. Tech – Mechanical Engineering, Vishwakarma Institute of Technology (VIT), Pune, India., Teli Mayur D. , Chavan Umesh S. ,   Mechanical Engineering, Vishwakarma Institute of Technology (VIT), Pune, India., Phakatkar Haribhau G. ,   Mechanical Engineering, Trinity College of Engineering, Pune, India.
Published: November 2019

In electric vehicle segment it is significantly observed that the excess weight of batteries (>10% of overall weight) reduces the travel range of electric vehicle. This excess weight of the batteries causes higher compression of the springs & also reduce the space available for suspension travel which reduces the life of suspension & comfort to the passenger. To overcome these issues, suspension needs to be reconfigured in terms of geometry & material of the suspension. Considering above changes in suspension system, Leaf Spring can be considered due to its proven history. Leaf spring has high load bearing capacity & can handle high loads at less deflection resulting in smoother ride. In this study glass fiber is used to analyze the application of leaf spring for excess weight in electric vehicle. The main objective of this study is to investigate feasibility of composite material for leaf spring to withstand the excess load in Electric vehicle. Rear leaf spring of TATA Sumo passenger vehicle is considered as case study model, which is semi-elliptical laminated type. The CAD model was created in CATIA & imported to ANSYS. Analytical, Experimental and Finite Element Analysis were carried out on composite prototype. Weight optimization of 67.70% for GFRP is observed in comparison to EN 46 material. For deflection 3.93%, for stiffness 4.06%, for energy absorbed 3.94% and for natural frequency is 5.25% difference is observed.
Real Time Conversion of Hand Gestures to Speech using Vision Based Technique
Authors:   Department of Computer Science Engineering, Shri Ramdeobaba College of Engineering and Management, Nagpur, Mundada S. G. , Khurana K. ,   Department of Computer Science Engineering, Shri Ramdeobaba College of Engineering and Management, Nagpur, Bagora A. ,   Department of Computer Science Engineering, Shri Ramdeobaba College of Engineering and Management, Nagpur
Published: November 2019

Sign Language is one of the most common approaches of communication usually used by people having hearing and speech impairment. These languages consist of well-defined set of gestures or pattern and sequence of actions that conveys meaningful words and sentences. The paper presents different algorithms and techniques for automation of single hand gesture detection and recognition using vision based methods. The paper uses basic structure of hand and properties like centroid for detecting the pattern formed by the fingers and thumb and assigning code bits i.e. converting each gesture into a set of 5 digits representation and motion is detected using movement of centroid in each frame. The paper uses techniques like K-means Clustering or Thresholding for background elimination; Convex Hull or a proposed algorithm for peak detection and text to speech API for conversion of words/sentences corresponding to gestures to speech. Combinations of different techniques like thresholding and convex hull or Clustering and proposed algorithm is implemented and results are compared.
Concrete Mixer Energized By Human Powered Flywheel Motor (Hpfm): A Concept
Authors:   Assistant Professor in the department of Mechanical Engg, Priyadarshini College of Engineering Nagpur, India., Shende Prof. Vijay , Mehta Dr. Girish ,   HOD, department of Aeronautical Engg Priyadarshini College of Engineering, Nagpur, India., Modak Dr. Jayant ,   Ex- Professor of VNIT Nagpur., Jadhav Prof. Pravin ,   Assistant Professor in the department of Mechanical Engg, Priyadarshini College of Engineering Nagpur, India., Kaushik Prof. Vishal ,   Assistant Professor in the department of Aeronautical Engg, Priyadarshini College of Engineering, Nagpur, India., Mudafale Prof. Krunal ,   Assistant Professor in the department of Mechanical Engg, Priyadarshini College of Engineering Nagpur, India., Pachpore Prof. Akshay ,   Assistant Professor in the department of Mechanical Engg, Priyadarshini College of Engineering Nagpur, India
Published: November 2019

World of today is facing the problem of power crisis, because most of the power generation units are running on thermal energy. Those basically need coal for the generation of energy. Since, it is well known fact that, the coal as a natural wealth is depleting day by day and very few sources are remaining where the coal could be found easily. Therefore people are looking for an alternative energy sources. Apart from these energies, the most economical source for the generation of employment is considered to be the human energy. Therefore, the use of human power has great scope particularly in rural and remote areas.
Determination of Downtime Cost of Ready-Mix Concrete Plant and Transit Mixer
Authors:   M. TECH. in Construction Engineering & Management from MIT-WPU, PUNE, Patil Poonam P. , Salgud Prof. Rohit R. ,   Assistant Professor, Department of Civil Engineering in MIT, PUNE
Published: November 2019

In today’s scenario, construction equipment plants are essential for any construction projects and are also important for rapid progress and improvement in the quality of work. Breakdown and less productivity of equipment can increased the cost of construction project. Hence it is important that attempts to be made to increase the productivity of equipment. Earlier research has often addressed this fact, but it has rarely explained the causes and consequences of downtime. Thus this research paper highlights various causes of downtime of RMC plant and Transit Mixer. Also the downtime cost of RMC plant and Transit Mixer (TM) is determined by using mathematical model, COX Model and NUNALLY Model. These models are used to identify the downtime cost of equipment where COX Model gives the value by only taking into account of failure machine and not considering the impact, while the NUNALLY Model gives higher value due to considering the overall impact of failure machine on work.
Fuel Injector Testing Through Development of a New Test Rig
Authors:   Department of Mechanical Engineering, Amrita School of Engineering, Amrita Vishwa Vidyapeetham, Coimbatore, India, R Sreejyothi , Senthilkumar D ,   Department of Mechanical Engineering, Amrita School of Engineering, Amrita Vishwa Vidyapeetham, Coimbatore, India
Published: November 2019

A modified version of fuel injector with higher injection capacity has been developed. To achieve this, the injector plunger diameter is increased to 11mm from current 9.5mm. A new test rig is developed to understand the functioning of the injector due to the changes incorporated. The new test rig is designed to test injector operation without burning the fuel. Since internal combustion is not present an external arrangement is required to run the engine. This is achieved through a 3-phase induction motor, which is coupled with the crankshaft of the engine. The injected fuel is collected form the cylinders and it is then recirculated. A fuel cooling circuit is also incorporated along with the fuel recirculation system to maintain the temperature of fuel at inlet of fuel pump. An oil heating system is installed in the test rig to maintain the viscosity of the oil by heating it. The required systems for driving the engine, fuel cooling and oil heating are implemented as per the design. The test is conducted on a 19 L diesel engine. Parts which are not required for this test like piston, piston rings, intake and exhaust manifold etc are removed from the engine. And the cylinder liner is blocked from below using a plate to facilitate the collection of injected fuel. Engine is made to run using the motoring rig at the rated speed of 1500 rpm for a duration of 250 hours. Instrumented push tubes are used to measure the push tube load. Push tube load is observed to be in the range of 2700 to 3100 lbf, which is high as compared to the earlier model of the injector. Fuel injection rate is obtained from the fuel collected from the cylinders. And the average fuel injection rate is observed as 0.116 to 2.35 kg/min. Thus, the increase in plunger diameter has led to an increase in fuel injection rate.
Design of a Single Phase Inverter for Aircraft Applications
Authors:   Assistant Professor in the department of Electrical and Electronics Engineering at BMS Institute of Technology and Management., Dsouza Ozwin Dominic , Shetty Prajwal ,   pursuing his Bachelor in Engineering in Electrical and Electronics Engineering department at BMS Institute of Technology and Management Bengaluru., S Arjun ,   pursuing his Bachelor in Engineering in Electrical and Electronics Engineering department at BMS Institute of Technology and Management Bengaluru., Manjunath  ,   pursuing his Bachelor in Engineering in Electrical and Electronics Engineering department at BMS Institute of Technology and Management Besngaluru.
Published: November 2019

This paper explains the design of inverter for aircraft application. Inverter is designed using the H-bridge connection of MOSFET. Gate voltage of the MOSFET is controlled by using arduino and mosfet driver connection. Designed inverter will support for 400Hz load. Inverted 400Hz voltage is displayed in 16*2 LCD display using the opto-coupler connection. This is the cost effective inverter design for high frequency application.
An Improvement of Energy Efficient and Extending Life Time of WMSN through Data Fusion Method
Authors:   Department of Electronics& Communication Engg, Government Engineering College, Haveri, India., H M Harish , B G Nagaraja ,   Department of Electronics& Communication Engg, Jain Institute of Technology, Davangere, India., Udara Srinivasarao ,   Department of Electronics& Communication Engg, STJ Institute of Technology, Ranebennur, India.
Published: November 2019

This paper presents the implementation of Wireless Multimedia Sensor networks (WMSN) using datafusion methods with aggregation that comprise of huge number of sensor hubs that are sent in some land territory. The motivation behind the system was to detect the earth and record what occurs in a territory it’s sent in. With different prospective applications wireless multimedia sensor network has numerous difficulties. In this method, each node is equipped with multiple sensors (like camera, temperature and humidity). Use of more than one sensor provides additional information about the environmental conditions. The datafusion approach based on the competitive-type hierarchical processing is considered for experimentation. Energy sources are the principle requirement for a wireless sensornode organizer because of restricted batteries power provided to every sensor node hub, so it’s important to join energy consciousness into each phase of the system structure and activity. So as to augment the lifetime of sensor arrangements, the system needs forceful energy streamlining strategies, guaranteeing energy awareness is joined into individual sensor hubs as well as into gatherings of coordinating hubs and into a whole sensor organize. The multiple data fusion process improves the reliability and accuracy of the sensed information and simultaneously saves energy, which was our primary objective. The proposed algorithms were simulated using Matlab. This article gives a datafusion (aggregation) methods to assume significant job for improve the PSNR, error performance and Security of the data which get by whole sensor network system. By classification of grouping (clustering) in WSN this articlepresents the design diagram for information datafusion in multimedia sensor network arrangement.
Machine Learning Algorithms in Software Defect Prediction Analysis
Authors:   Professor, Department of Computer Science and Engineering, Koneru Lakshmaiah Education Foundation, Guntur(Dist), India., Yalla Prasanth , Meghana Pasam ,   Department of Computer Science and Engineering, Koneru Lakshmaiah Education Foundation, Guntur(Dist), India., Sravanthi Regula Chaitanya ,   Department of Computer Science and Engineering, Koneru Lakshmaiah Education Foundation, Guntur(Dist), India., Mandhala Venkata Naresh ,   Department of Computer Science and Engineering, Koneru Lakshmaiah Education Foundation, Guntur(Dist), India.
Published: November 2019

Programming deformity forecast assumes a vital job in keeping up great programming and decreasing the expense of programming improvement. It encourages venture directors to assign time and assets to desert inclined modules through early imperfection identification. Programming imperfection expectation is a paired characterization issue which arranges modules of programming into both of the 2 classifications: Defect– inclined and not-deformity inclined modules. Misclassifying imperfection inclined modules as not-deformity inclined modules prompts a higher misclassification cost than misclassifying not-imperfection inclined modules as deformity inclined ones. The machine learning calculation utilized in this paper is a blend of Cost-Sensitive Variance Score (CSVS), Cost-Sensitive Laplace Score (CSLS) and Cost-Sensitive Constraint Score (CSCS). The proposed Algorithm is assessed and indicates better execution and low misclassification cost when contrasted and the 3 algorithms executed independently.
Ploughing Back of Profits
Authors:   Department of Commerce, Koneru Lakshmaiah Education Foundation, Vaddeswaram, A.P, India., Sastry S.V.N.M. , Murthy A.V.N. ,   Department of Commerce, Koneru Lakshmaiah Education Foundation, Vaddeswaram, A.P, India.
Published: November 2019

Like other stakeholders, shareholders will also anticipate a fair return on their investment in the shares of the company of course in the form of dividend in majority of the cases. Though, the payment of dividend on equity shares is not mandatory, but the companies will pay the dividend during the years of profits to their shareholders. The cash payment of dividend may affect the liquidity position of the companies. Hence, the companies will try to pay dividend in the form of issue of bonus shares by capitalizing the profits or by ploughing back of past profits. The purpose of writing this article is to elaborate on how the bonus issue will be served as an effective tool to manage liquid sources of a company.
Dual Filter Based Images Fusion Algorithm for CT and MRI Medical Images
Authors:   Associate Professor, Dept of ECE, KG Reddy College of Engineering and Technology, Hyderabad, Telangana, India, Narsaiah M.N. , Vathsal S. ,   Ex Director, ER & IPR, DRDO, New Delhi, India., Reddy D. Venkat ,   Professor, Department of ECE, MGIT, Hyderabad, India.
Published: November 2019

A novel image fusion algorithm based on two filters, one is laplacian filter for de-nosing the detailed coefficients and second filter is Guided Filter (GF) used to refine the approximation as well as detailed coefficient for Computer Tomography (CT) and Magnetic Resonance Imaging (MRI) medical images is proposed. Because of using wavelet transform, we obtained approximation coefficient and other three coefficients of CT and MRI images. Now two weight maps are obtained after the process of denoising. Another reason for obtaining two weight maps is because of comparison. Here comparison is done between two approximation coefficient and six detailed coefficients. By using the approximation coefficients and detailed coefficients, GF is designed. Here GF will guide an image corresponding to the weight maps. Here the weight maps are smoothed using GF and this is mainly served as input image. Hence the weighted fusion algorithm will fuse the both CT and MRI images. A pure fused image is obtained only when the CT and MRI images are refined by inverse wavelet transform. From the comparison results, it can observe that the proposed system gives better results compared to existing system. As well as the proposed system will give maximum amount of input in detail manner.
Segmentation and Classification of Fruit Images Independent of Image Orientation using Height Width Vectors
Authors:   Department of Computer Science, Amrita School of Arts and Sciences, Amrita VishwaVidyapeetham, Mysuru, India., Raj R Akshitha , M Gopika ,   Department of Computer Science, Amrita School of Arts and Sciences, Amrita VishwaVidyapeetham, Mysuru, India., P Apoorva ,   Department of Computer Science, Amrita School of Arts and Sciences, Amrita VishwaVidyapeetham, Mysuru, India., S Akshay ,   Department of Computer Science, Amrita School of Arts and Sciences, Amrita VishwaVidyapeetham, Mysuru, India.
Published: November 2019

Detecting fruits automatically through image processing is a bewildering job because of certain properties of several types of fruits. For each image in the database preprocessing removes background and separates the foreground layer.The images are segmented using image threshold method. The classification is done by using a classifier named KNN with the desirable aim of exact and fast classification of fruit.We have considered 170 images examining various cases like single fruit and multiple fruits of same type, different orientation of same type,cut fruit and full fruit images of same type ,different colored fruit images of same type, multiple fruits of different types.. Our system successfully recognizes fruit images with 97.6% accuracy and provides an F- measure of 88%.
Protection and Controlling of Transmission Lines by using Machine Learning Techinique
Authors:   Assistant Professor, Department of EEE,GMRIT, Rajam, India, Krishna R Vijaya , Krishna N S S Rama ,   Assistant Professor, Department of EEE,GMRIT, Rajam, India., Kumar J Ravi ,   Assistant Professor, Department of EEE,GMRIT, Rajam, India.
Published: November 2019

Now a day’s electrical system is at intervals the tactic to convert into smart power system with interconnected national and regional grids. wattage system is growing, and quality in all sectors like generation, transmission, distribution and lading systems. Faults like tangency condition lands up in severe economic losses & reduces responsibility of the electrical system. These faults cause interruption to electrical flows, instrumentality damages & even cause death of humans, birds & animals. For avoiding these styles of things, we've got to clear or nullify the fault. Fault clearing is also an important task in facility network. It is often done by exploitation protecting devices like switch gears. Protection plays a very important role in fashionable facility network, right from generation through transmission to distribution end. Multi useful relay additionally put in in fashionable power grid network for cover of conductor, generator protection, motor protection, real time fault location, protection of bus bar and totally different necessary equipment’s. A reliable, continuous give of electricity is very important for functioning of today’s modern sophisticated advanced society. it's usually obtained by providing protection against to the faults in grid. This paper is devoted to abnormal system behaviour below conditions of faults in power transmission lines exploitation MATLAB Simulation and planned for fault detection, classification & location by exploitation ANN (Artificial Neural Networks).
Edge detection based on Improved Non-Maximum Suppression Method
Authors:   Ph.D Research Scholar, Department of Computer Science, Erode Arts & Science College (Autonomous), Erode, India., T Sreedhar. , S Sathappan. ,   Research Supervisor and Associate Professor, Department of Computer Science, Erode Arts & Science College (Autonomous), Erode, India.
Published: November 2019

Semantic Segmentation and edge detection are important research fields for scene understanding in computer vision. A hierarchical framework called Contextual Hierarchical Model (CHM) was proposed for semantic image segmentation and edge detection. It learned contextual information using a Logistic Disjunctive Normal Networks (LDNN) classifier. The class average accuracy of CHM was improved by defining a global constraint using Conditional Random Field (CRF), Hierarchical CRF (HCRF), Higher order HCRF (HHCRF). The LDNN was improved by using proximal gradient method which minimizes the quadratic error and it had high convergence rate than gradient descent method. The weight and bias terms of LDNN was optimized by using Grey Wolf Optimization algorithm (GWO) which improves the classification accuracy and it also reduces time complexity of LDNN. During the edge detection using CHM, a multi-scale strategy was adopted to compute edge maps. A Non-Maximum Suppression (NMS) was used to obtain the thinned edges in images. However, it is a post-processing step which consumes additional time in edge detection process. So, in this paper, the edge detection is interpreted as a classification problem where the thinned edges in images are obtained without any post-processing step. It reduces the time consumption. Two key ingredients such as loss and joint processing are included in NMS to improve the detection of thinned edges. The loss is used to penalize the double edge detection and the joint processing is used to reduce the loss of edge detection by including a pair features as additional feature for edge detection. The pair features, Haar, Histogram of Gradient (HOG) and SIFT features are given as input to LDNN to detect the edges that improve the efficiency of CHM based edge detection.
Optimizing Analysis Of The Radiographic Image And Entrance Surface Dose Using Computed Radiography In Chest Examination
Authors: Apriantoro Nursama Heru , Santoso Budi , Purwantiningsih Purwantiningsih , Ambarsari Tri
Published: November 2019

This research has conducted about exposure factor variation analysis examination of the thorax surface dose and image noise in radiography. Do 10 (ten) times the exposure in the thorax phantom with various exposure factor such as 50 kV- 8 mAs, 50 kV-10 mAs, 55 kV- 8 mAs, 55 kV-10 mAs, 55 kV-10 mAs, 60 kV- 8 mAs, 60 kV-10 mAs, 66 kV-8 mAs, 66 kV-10 mAs, and 102 kV- 1 mAs, 102 kV - 2,5 mAs for high kV technique. For each exposure factor the pinned , TLD placed in the middle of the field to measure the radiation dose level. The optimum exposure conditions of the thorax PA examination (expressed with IgM value) occurs when using exposure factor 55 kV and 8 mAs for IgM values ​​obtained are 1.91, 6.605 for standard deviation values ​​and ESD 0.098 mGy.
Preliminary Research: Identification of Microorganism in The Waiting Room on Public Transportation Facilities, DKI Jakarta
Authors: El Jannah Syarifah Miftahul , Rahayu Cahyawati , Zuraida Zuraida , Prasetio Rian , Sugiarto Rizki Iman
Published: November 2019

Public transportation is one of the places that have the potential to become a place of disease transmission, the discovery of bacteria in the facility is a public health problem is quite urgent. A preliminary test was conducted to find out the bacteria in waiting room at public transportation facilities in DKI Jakarta area. The research was conducted in cross sectional. Population are public facilities at the bus terminal of Kampung Rambutan, Pinang ranti, Manggarai, Grogol, Kalideres and Tanjung priuk. The sample is wipe the surface of iron fence, bench, handrail and counters as many as 24 samples. Conducted isolation on specific media and morphological, physiological and biochemical identification. We found 70 isolates with 5 species of bacteria, Staphylococcus aureus and Staphylococcus saphrophyticus 27.4%, Bacillus subtilis 25.7%, Staphylococcus epidermidis 17.14% and MRSA (Methicillin Resisten Staphylococcus Aureus) 2.8%. Locations with the most bacteria types are iron grip and chair. Tanjung priuk is place the most bacteria type and found MRSA. Method and frequency of cleaning of transportation means become one factor to eliminate number and type of microorganism. Until now there are no regulations that bind to the hygiene and sanitation of transportation in particular.