bluuebunny/crossref_metadata_2025 huggingface dataset:
Wavelet Based Power Quality Assessment of Wind Energy Source Integrated 5-Bus System under Sudden Load Conditions In Presence of FACTS Devices
Authors:   Bapatla Engineering College,Bapatla 523155,India, Saradhi J .Pardha , Rao R. Srinivasa ,   JNTU,Kakinada 533001,India, Ganesh V. ,   JNTUA,Pulivendula 516390,India
Published: November 2019

The structure, operation, and planning of electric power networks will undergo considerable and rapid changes due to increased global energy consumption. The requirement of renewable energy sources due to the increase of electrical demand. This paper presents wind energy integration with electrical grid under impact on sudden load conditions. To fill the demand and supply gap requires reactive power. To compensate reactive power more prominent devices are needed. The Static Synchronous Series Compensator (SSSC), Static Synchronous Compensator (STATCOM) and Unified power flow controller (UPFC) are the members of the Flexible AC Transmission system family having very attractive features of series and shunt reactive power compensating devices. The proposed research work is carried by wavelet multi resolution analysis using Bior1.5 mother wavelet under Power Quality issue of sudden load 150MW is introduced at bus-3, which can be compensated by a wind energy source and FACTS devices. The analysis of 5-bus network model of sudden load impact is tested and observed that the effectiveness of the system with Wind Energy source integration in presence of SSSC, STATCOM &UPFC.
Wavelet-Alienation Coefficient based Protection of Distribution System
Authors:   Research Scholar, Acharya Nagarjuna University, Guntur, India, Bandaru Durgaprasad , Shaik Abdul Gafoor ,   Associate professor, Department Electrical Engineering, Indian Institute of Technology Jodhpur, India,
Published: November 2019

Growth enhances the complexity in control of distribution networks which are progressing towards the vision of smart grids. Inclusion of non-conventional resource power generators affects in magnitude and flow directions of faults in the distribution system there by posing challenges towards protection of distribution system.. A wavelet and alienation coefficients based algorithm described in this paper for electrical distribution network protection which is also connected with wind farm. The algorithm takes the current samples at selected nodes of the wind farm connected distribution system. From the collected samples of the current signals approximation coefficients are extracted using wavelet technique. A moving half cycle window is used to obtain alienation coefficients of the current signals which were approximated by wavelet technique. Using the WT (Wavelet transform) decomposition on the currents measured at selected nodes approximation coefficients are computed, which are used for acquiring the alienation coefficients to fault classification and identification. MATLAB Simulink is used for simulation of modified IEEE 13 bus test feeder system.Effectiveness of proposed technique examine for all possible shunt faults at every bus of test feeder system. Also the effect of wind speed variations and location of wind farm connection conditions are tested to evaluate the reliability of the technique.
Forecasting Chronic Disease using Gradient Boosting Algorithm
Authors:   Dept. of CSE, MVJ College of Engineering, Bangalore, Karnataka, India, Sindhanaiselvan Dr.K. , Shridevi  ,   Dept. of CSE, MVJ College of Engineering, Bangalore, Karnataka, India
Published: November 2019

A Chronic disease is exists inside human body long term. The continual ailment typically final for three months or more as per defined with the aid of the USA National center of Health Statistics. The leading persistent sicknesses in advanced international locations encompass arthritis, cardiovascular ailment which includes coronary heart attacks, stroke and oral fitness issues. These illnesses are resistant to vaccination and can’t be prevented by means of way of remedy. Eating conduct, lack of workout and awful meals conduct are the essential contribution to the persistent sickness prevalence. In propose system, used superior device gaining knowledge of algorithms like assist vector machines, Gradient boosting, to expect the superiority of chronic sickness. Also, as part of t observe have provided the comparative observe of all the fashions with go validation techniques.
Research on Structural behavior of Composite Materials on different Cantilever Structures using FSI
Authors:   Department of Aeronautical Engineering, Kumaraguru College of Technology, Coimbatore, Tamil Nadu,India., K Naveen Kumar , R Vijayanandh ,   Department of Aeronautical Engineering, Kumaraguru College of Technology, Coimbatore, Tamil Nadu,India, Rose J Bruce Ralphin ,   Department of Aeronautical Engineering, Anna University Regional Campus, Tirunelveli, Tamil Nadu, India, V Swathi ,   Department of Aeronautical Engineering, Kumaraguru College of Technology, Coimbatore, Tamil Nadu,India., R Narmatha ,   Department of Aeronautical Engineering, Kumaraguru College of Technology, Coimbatore, Tamil Nadu,India., K Venkatesan ,   Department of Mechanical Engineering, AlagappaChettiar Government College of Engineering and Technology, Karaikudi, Tamil Nadu, India
Published: November 2019

The implementation of composite materials in industries like aerospace, automotive, civil, naval, etc., are emerging continuously because of its combined unique effects. The present article deals with a numerical simulation of the natural frequency effect on the different cantilever structure for various composite materials also estimates its structural response to aerodynamic forces using Fluid-Solid Interaction (FSI) in Ansys Workbench environment. This work is intended to analyze and learn the response of various real-time structural parameters like maximum deformation, maximum stress-induced location and modal parameters like modal frequency, mode shapes on different Cantilevered structures. Structures like wind turbines, airplane wings are critical in structural behavior, which are characteristically using the wind to produce power and lift respectively. The present article deals with an estimation of natural frequencies for the prediction of working lifespan and structural parameters variation throughout the cantilever structures to multi-purpose usage. The entire comparative part of this article is executed with an acceptable simulation of the displacement and principal stress for different composite materials such as Kevlar, Glass Fiber Reinforced Plastic (GFRP) and Carbon Fiber Reinforced Plastic (CFRP) by using FSI. Composites Beams are modeled in CATIA and discretized in the Ansys ACP 16.2 tool and Modal analysis of various cross-sectional beams are reported, compared and discussed.
Microcontroller and Gsm Based Windmill Monitoring System
Authors:   Associate Professor :Dept of EEE, Kumaraguru College of Technology, Coimbatore, Tamilnadu, India, Mohanraj Dr M. , Premkumar S. ,   PG Scholar:Dept of EEE, Kumaraguru College of Technology, Coimbatore, Tamilnadu, India
Published: November 2019

This paper deals with the design and development of embedded system using GSM technology. The developed instrument is installed in the windmill. An interfacing GSM module is also added to the microcontroller to send the message to windmill owners mobile. The energy/power produced in the windmill is displayed on the energy meter. The energy meter reading is a digital code which will be fetched out by parallel cable and sent to microcontroller and it is transmitted to mobile using GSM module. The controller checks for the valid input code sent from the phone, if the code is valid the data is sent to the concern mobile phone.
Iot Based Smart Public Distribution System
Authors:   Assistant professor, EEE department, Kumaraguru College of Technology, Tamil Nadu, Coimbatore, Tamilnadu, India, Kumar R.Suresh , Arunadevi S. ,   Assistant Professor, S&H Department, Kumaraguru College of Technology, Coimbatore,Tamil Nadu, India
Published: November 2019

This project proposes an automatic strategy for conveyance of products to the individual card holders. The database has subtleties of commodities distribution to individual card holders. By utilizing the android phone, the clients get to their database and they can see the stock availability. The Minutiae extraction based fingerprint matching algorithm is used for identification of individual cardholders. For automatic distribution of commodities, the DC Motors are used. The Raspberry pi controller is used to control the DC Motor and to open and close the valves.
Grid Partitioning For Anomaly Detection (Gpad) In High Density Distributed Environment For Mining Techniques
Authors:   Associate Professor, Department of Computer Science and Engineering, Akshaya College of Engineering and Technology, Coimbatore, Tamil Nadu, India., Viji Dr. C. , Rajkumar Dr. N. ,   Associate Professor, Department of Computer Science and Engineering, Akshaya College of Engineering and Technology, Coimbatore, Tamil Nadu, India.
Published: November 2019

Anomaly detection is the most important task in data mining techniques. This helps to increase the scalability, accuracy and efficiency. During the extraction process, the outsource may damage their original data set and that will be defined as the intrusion. To avoid the intrusion and maintain the anomaly detection in a high densely populated environment is another difficult task. For that purpose, Grid Partitioning for Anomaly Detection (GPAD) has been proposed for high density environment. This technique will detect the outlier using the grid partitioning approach and density based outlier detection scheme. Initially, all the data sets will be split in the grid format. Allocate the equal amount of data points to each grid. Compare the density of each grid to their neighbor grid in a zigzag manner. Based on the response, lesser density grid will be detected as outlier function as well as that grid will be eliminated. This proposed Grid Partitioning for Anomaly Detection (GPAD) has reduced the complexity and increases the accuracy and these will be proven in simulation part.
Community Participation for Access to Justice to Children: a Road Map for Future
Authors:   Department of Electrical and Electronics Engineering, Kumaraguru College of Technology, Coimbatore (Tamil Nadu), India., Nandhini J.J. , Premalatha K. ,   Department of Electrical and Electronics Engineering, Kumaraguru College of Technology, Coimbatore (Tamil Nadu), India.
Published: November 2019

Right to access to justice signifies creating an environment where people are aware of their rights and an effective remedy is available to them if any of their rights are violated. Access to justice does not merely refer to the formal mechanisms but also involve informal mechanisms which are available.Children enjoy special status under the constitution and hence are given different treatment. This is the groups which keeps on demanding new rights but are unable to claim them on their own because of immaturity in terms of their age and mental growth. For this reason right to access to justice becomes extremely important for the children. In absence of this their grievances will remain unheard and no effective remedy will be given to them. Children are responsibility of all and therefore it is all of us who should work towards protection of their rights and overall development. The present paper is built -up on the conviction that community can participate in protecting best interest of the child and make justice accessible to them. It focuses on the concept of access to justice, the normative structure for it in India and suggests few ways in which the community can participate in making access to justice reality for them
A Description Profound Fusion Recommender Scheme Based On Self-Chipper With Neural Communal Filtering
Authors:   Associate Professor, Dept of IT, Sathyabama Institute of , Science and Technology, Chennai, Tamilnadu, India, Ajitha P. , Sivasangari A. ,   Associate Professor, Dept of IT, Sathyabama Institute of , Science and Technology, Chennai, Tamilnadu, India, Jinila Bevish ,   Associate Professor, Dept of IT, Sathyabama Institute of , Science and Technology, Chennai, Tamilnadu, India
Published: November 2019

The Web makes fabulous open entryways for associations to give tweaked online organizations to their customers. Recommender systems intend to normally make altered suggestions of things/organizations to customers (business or individual). Regardless of the way that recommender systems have been particularly inspected, there are up 'til now two challenges in the enhancement of a recommenderstructure,particularlyinauthenticworldB2Be- services. In Proposed a recommendation framework utilizing the speedy scattering and information sharing limit of an extensive customer orchestrate. This framework actualized a GRS dependent on conclusion elements that considers these connections utilizing a brilliant loads lattice to drive the procedure.InGRSs,asuggestionistypicallyfiguredbyabasic collection strategy for individual data the proposed technique [described as the client driven recommender framework (CRS)] pursues the community oriented sifting (CF)rule howeverperformsdispersedandnearbylooksforcomparative neighbors over a client arrange so as to produce a suggestion list.
Woking of Advisory Boards in Maharashtra State: Serving Human Rights of Felons
Authors:   Department of Computer Science and Engineering Department SRM Institute of Science and Technology, Chennai, India., Bhosale Vinaya , Karanjkar Rajesh ,   Department of Computer Science and Engineering Department SRM Institute of Science and Technology, Chennai, India., Ubhe Archana ,   Department of Computer Science and Engineering Department SRM Institute of Science and Technology, Chennai, India.
Published: November 2019

Rationale behind construction of a “Sentence Review Board” in any State correctional institution in lies behind the progression of law originating from custodial and penal causes, to reformative and rehabilitative handling of lawbreakers wherein well-behaved and upright conduct, and rectified attitude are considered for as a key criterion for reduction of judicial sentence of imprisonment on personalized footing.In consonance of the statutory power granted, and focusing upon the guidelines issued by “Model Prison Manual 2003” through a notificationon December 1, 2015 the Home Department of the Government of Maharashtra formulated the amending rules to “Maharashtra Prisons (Review of Sentences) Rules, 1972” and restructured the “Advisory Boards,Special Advisory Boards and Medical Committees” constituted for the purpose of “pre-mature release” of the certain categorisedconvicts.As the provision for a pre-mature release is “an executive exercise and not a judicial process”, “executive discretion in granting or denying” it raises certain grey areas in the criminal dispensation system in India. The present paper with an analytical and critical approach attempts to study the existing makeup of executive process of “pre-mature release of a felonwhich though is not a legal right, but is a human right to have his case considered for the grant of remission” in State of Maharashtra.
Losing Glow Of Fmcg Brands(A Sustainability Challenge For Fmcg Sector) ( A Pilot Research Conducted In Vidarbha During April-19 To August-2019)
Authors:   Associate Professor, Dr. Ambedkar Institute of Management Studies & Research, Nagpur, Maharashtra, India, Bodhankar Dr. Aniruddha
Published: November 2019

It has seen that FMCG consumers are becoming indifferent towards the essential categories of the brands. Such brands have become undifferentiated in their minds. The concept of brands is getting redundant in their minds for products from essential categories like Soaps, Tooth Paste, Detergents, Confectionary, Salty Snack Food, Chocolates etc. This can prove to be a big sustainability challenge for the brand members from essential categories of FMCG brands. The researcher empirically observed during his visits to various retail outlets both from urban & rural areas during his observational research that the FMCG consumers are getting confused about purchasing a specific brand of routine FMCG product. They buy either any brand considering that all brands are same or buy a product due to the available offers. The higher the offer is the more would be the temptation of buyers toward them. If not then the buyers try to go for still available economical option or at last will go for smaller pack size. If nothing is available then only they will buy top branded FMCG product. This research tries to ascertain this fact and tries to measure the shift (if at all is there) in quantitative terms.
Research of Wearable Textile Antennas for WBAN Applications
Authors:   Research Scholar, Department of E & C, Madhyanchal Professional University, Bhopal, M.P, India, Pathan Tarannum U. , Karn Rajneesh K. ,   Professor, Department of E & C , Madhyanchal Professional University, Bhopal, M.P, India
Published: November 2019

The emergence of Wireless Body Area Networks (WBAN) in recent times has diverted the attention of most researchers towards the field of wearable antennas. The WBAN has enabled communication between different devices by placing them on human body. This work is a review which intends to disclose the recent developments in the area of wearable Textile antennas for WBAN. Further the use of different textile materials has been studied and their performances have been evaluated. The results show that use of textile materials have not only increased the efficiency but also they are very flexible and make the antenna suitable for on/off body applications such as medical and military. The properties of antennas inside human body, on human body and finally at some distance from the human body have been studied. It has been noted that as the distance between human body and antenna reduces, the properties of antenna such as efficiency, directivity and gain degrade more and more. Also the resonant frequency of antenna shifts from its original position which is a very big issue and needs to be rectified. For textile materials the shift in resonant frequency is not too much and also the degradation in other properties of antenna such as efficiency, directivity and gain are insignificant.
Multi Object and Dynamic Query Based CBIR System using DCT Incorporated with HOG and HTF
Authors:   Professor, Sri Indu College of Engineering and Technology, Hyderabad, Telangana, India., C. G. Suresh, N. , Kumar Sendhil ,   Professor, Sri Indu College of Engineering and Technology, Hyderabad, Telangana, India., Murugesan R. ,   Associate Professor, Annamacharya Institute of Technology & Sciences, Tirupathi, AndhraPradesh, India., Mukunthan P. ,   Professor, Sri Indu College of Engineering and Technology, Hyderabad, Telangana, India.
Published: November 2019

This work contributes multi object detection and dynamic query image based retrieval system. Generally, finding relevance and matching user expectations is very critical based on query key information and these results irrelevant responses which will produce low similarity index. Consequently, CBIR system took a major responsibility of identifying new objects, retrieving similar objects or contents based on multi query and dynamic keywords with improved recall and precision as per requirement of the users. At this juncture, Discrete Curvelet Transform with the incorporation of HOG and HTF based approach is proposed to handle commercial image, medical images and types of multi model images. This proposed approach mainly focuses on extracting scaled features for finding correlation among the query and database images. To start with the process, query image is decomposed into multi level sub images to extract set of texture features at two levels. These features are estimated by Gray Level Co-occurrence Matrix (GLCM) and HOG descriptor based techniques is adapted to find scaled vectors with reduced dimensionality. This method outperform compared as compared to existing method is authenticated from experimental results.
A Recommendation System: Trends And Future
Authors:   Jagannath University, Jaipur, Rajasthan, India., Gupta Shefali , Dave Dr. Meenu ,   Jagannath University, Jaipur, Rajasthan, India.
Published: November 2019

Recommendation system plays a key role in e-commerce universe and is used in many applications, websites and more. It has led to synergies between applications, created global village and growth of information. This paper represents the overview of approaches and techniques generated in recommendation systems. Recommendation system is categorized in two classes: Personalized and Non-personalized, which is further divided into various approaches and techniques. This paper discusses each of the methodology in detail highlighting their strengths and weaknesses.
Adenomatous Hyperplasia Of Thyroid Nodule Classification: Texture Feature Analysis Methodoloy Of Ultrasound Images
Authors:   Associate Professor, Department of Electronics and Communication Engineering, Sri Sairam Engineering College.Research scholar, Vels University,Chennai, Tamilnadu, India, Kohila S , Malliga Dr. G. Sankara ,   Professor and Head, Department of Electronics and Communication Engineering, Anand Institute of higher technology, Chennai, Tamilnadu, India
Published: November 2019

This paper, explores to extract textural feature from ultrasound Adenomatous Hyperplasia thyroid nodule. The extracted texture feature will help the clinician to improve diagnostic accuracy. The Fine Needle Aspiration (FNA) and Histopathology report is the conventional diagnostic methodology. It is an invasive technique and patients are subjected to painful process. Non-invasive, non-contact and low cost imaging tool is essential to increase the clinical diagnostic accuracy. Ultrasound imaging is a potential non-invasive modality to capture Adenomatous Hyperplasia thyroid nodule. Adenomatous Hyperplasia thyroid nodule is the common inflammation in thyroid gland abnormality. The texture features, using Law’s Texture Energy Measures (Law’s TEM), Neighborhood Gray Tone Difference Matrix (NGTDM) and Statistical Feature Matrix (SFM) are extracted from normal and adenomatous hyperplasia of thyroid nodules. The normal and abnormal images are demarcated using T-test analysis. The extracted feature shows significant difference between normal and abnormal images with p value less than 0.001(p < 0.001). Hence the Law’s Texture Energy based feature may be used to identify the pathology in the thyroid ultrasound images.
Wireless Monitoring Of Industrial Drives Using Internet Of Things Technology (Iot)
Authors:   EEE department, Easwari Engineering College, Chennai, Tamil Nadu, India, Kaliappan Dr.E. , Ponkarthika B. ,   EEE department, Easwari Engineering College, Chennai, Tamil Nadu ,India., Gowrishankar J. ,   EEE department, Easwari Engineering College, Chennai, Tamil Nadu ,India., Vignesh G. ,   EEE department, Easwari Engineering College, Chennai, Tamil Nadu ,India., Vijeesh V. ,   EEE department, Easwari Engineering College, Chennai, Tamil Nadu , India.
Published: November 2019

Electrical motors and drives consumes about 45% of the power generation. However, if the electrical machines are not maintained properly the drives consumes about 5% to 10 % of excess power which affects the productivity and revenue. Continuous monitoring of critical parameters of the drives is crucial for an industry which continuously operates large number of electrical drives. Before the advent of Internet of Things (IoT) technology, monitoring of the machine parameters were carried out using Supervisory Control and Data Acquisition (SCADA), which can store data temporarily, after which that data will be overwritten by more recent data. Also the online monitoring of the machine is not feasible. In the IoT technology the data collected can be safely stored in the Cloud and retrieved whenever needed. Moreover the data collected can be easy integrated through any platform to any application, which benefits the end user by cutting down huge investment costs. In the presented work, the machine parameters like current, voltage, speed and number of working hours of the machine, temperature are measured using the sensors for continuous monitoring. The data is collected and processed using microcontroller and transferred to a remote server wirelessly using Message Queuing Telemetry Transport (MQTT) protocol. The received data is then sent to the telegram server. Any deviation from the safe operating conditions is reported to the server and control room through chatbot in telegram mobile app for immediate action
The Photocatalytic Activity Of Cement In Reducing Air Pollutants
Authors:   Assistant Professor, Dept. of Civil Engg., EaswariEngg College, Chennai-600089, Tamil Nadu, India., Chandrakanthamma L. , Jothilakshmi M. ,   Assistant Professor, Dept. of Civil Engg. , EaswariEngg College, Chennai-600089, Tamil Nadu India, Dhayachandhran K.S. ,   Assistant Professor, Dept. of Civil Engg. , EaswariEngg College, Chennai-600089, Tamil Nadu India, Goel Rounak ,   UG Student, Department of Civil Engineering , EaswariEngg College, Chennai-600089, Tamil Nadu India
Published: November 2019

Air pollution is the major concern in the recent years because of causing imbalance to the ecosystem and also increases global warming and climate change. This paper, tries to investigate the applicability of photo catalytic cement in removing the pollutants under partially controlled and simpler experimental conditions such that it mimics the ideal state of its use, that is the natural open environment where it always is susceptible to complex physical and chemical interactions. It also gives an overview of the concentrations of the contaminants reduced not limiting to NOx residues alone, by employing Ion Chromatography instead of NOx analyzers.
Automated Irrigation And Smart Farming
Authors:   Assistant Professor, Department of Computer Science Engineering, Easwari Engineering College, Chennai, Tamil Nadu, India., Heera S. Sri , Suganthan  ,   UG Student, Department of Computer Science Engineering, Easwari Engineering College, Chennai, Tamil Nadu, India., Athreya S Sudarshan ,   UG Student, Department of Computer Science Engineering, Easwari Engineering College, Chennai, Tamil Nadu, India., Narasimman S Suriya ,   UG Student, Department of Computer Science Engineering, Easwari Engineering College, Chennai, Tamil Nadu, India., Rakesh M ,   UG Student, Department of Computer Science Engineering, Easwari Engineering College, Chennai, Tamil Nadu, India.
Published: November 2019

Industry 4.0 has already arrived in the world and is leaving no stone unturned. It can be quickly summarized into just 4 components being, Cyber- physical systems, IOT, Cloud Computing and Cognitive computing. Current technologies, which uses soil moisture sensor require hard wiring and manual interventions. Other timer technologies irrigate the plants at certain interval without checking the need. In the proposed system, robotics with Artificial Intelligence are integrated with IoT systems to allow the farmer who is available at a different location than the farm to get the necessary updates involving the irrigation process taking place in the field. The system will also drain the excess water. The proposed system would allow better water management, higher yield and reduce the required manpower.
Statistical Analysis Of Silicon Grease Coated Bushings Characteristics Under Various Contaminated Conditions
Authors:   Corresponding author Department of EEE, National Engineering College, Kovilpatti, Tamilnadu, India., Prakash N.B. , Shiny G. ,   Department of EEE, Thamirabharani Engineering College, Tirunelveli, Tamilnadu, India., Kannayeram G. ,   Department of EEE, National Engineering College, Kovilpatti, Tamilnadu, India., Madavan R. ,   Department of EEE, P.S.R Engineering College, Sivakasi, Tamilnadu, India.
Published: November 2019

The contamination seriousness level in the working condition of transformers turns into the most critical factor in deciding the protection level of bushings. Flashover because of contamination on bushings makes a noteworthy danger the unwavering quality of the transformers and power framework arrange as well. In order to reduce the pollution flashover of bushings, the silicon grease coating is applied on the surface of bushings. Then, silicon grease coated and non-coated the bushings are polluted with Nacl and Kaolin blend using brushing method. After dried, breakdown voltage of polluted bushings is measured as per standard and the statistical analysis has been carried out to understand the performance of bushings under polluted environment.
Energy Analysis Of A Green Building Using Equest Software
Authors:   Faculty,Civil Engineering Dept,Kumaraguru College of Technology,Coimbatore, Tamilnadu, India., Sathyamoorthy G.L. , Santhosh Er.T. ,   Civil Engineering Student,Kumaraguru College of Technology,Coimbatore, Tamilnadu, India.
Published: November 2019

At present understading the behaviour of buildings with respect to energy useage becomes a difficult task due to the various factors affecting the energy use. Neverthless, the perpetual advent of software have provided plenty of oppetunities in forecating energy performance of a building,once it is put for usage. In the present study an energy simulating tool is used to model the thermal, ventilation and various energy intaking processes in a building to forecast its energy performance. In order precisely calculate the energy usages in building the tool consider the outside claimate of the building warmth resources within the building and the use of construction materials. This building energy imitating technique is argubly proved as an influential practice for observing energy routine of building,estimating architectural design, decide upon appropiate structural resources and system required as well.Using this tool complex issues with respect to buildings could be scrutinized and their performances also be appraised.
Effective Management Of Parking Area
Authors:   Assistant Professor II, Department of CSE, Kumaraguru College of Technology, Coimbatore, Tamilnadu, India., M Suguna. , G Shobana. ,   Assistant Professor II, Department of CSE, Kumaraguru College of Technology, Coimbatore, Tamilnadu, India, Priya. P Mohana ,   UG student, Department of CSE, Kumaraguru College of Technology, Coimbatore, Tamilnadu, India, R Kishore. ,   UG student, Department of CSE, Kumaraguru College of Technology, Coimbatore, Tamilnadu, India
Published: November 2019

When a car enters the parking area, it takes so much time to find the free slot to park. On the other hand, all the paid parking area owners suffer from handling congestion inside the parking area. They are spending huge amount as a salary for their employees to manage the parking area. So there is huge need for effective management of parking area.So the proposed system describe a method to automate the management of car parking area without manual traffic workers i.e., it discusses a project which presents a miniature model of an automated car parking system that can regulate and manage the number of cars that can be parked in a given space at any given time based on the availability of parking slot. By using the logic which is given in the database the parking space is effectively managed. This proposed system is suitable for implementing in all paid parking areas such as in malls, hospitals, etc.,
A Smart Reader for Blind People A Smart Reader for Blind People A Smart Reader for Blind People A Smart Reader for Blind People A Smart Reader for Blind People A Smart Reader for Blind People A Smart Reader for Blind People A Smart Reader for Blind People A Smart Reader for Blind People A
Authors:   Professor, Computer Science and Engineering, Kumaraguru College of Technology, Coimbatore, Tamilnadu, India., Latha L , Geethani V ,   Student, Computer Science and Engineering, Kumaraguru College of Technology, Coimbatore, Tamilnadu, India., Divyadharshini M ,   Student, Computer Science and Engineering, Kumaraguru College of Technology, Coimbatore, Tamilnadu, India., Thangam P ,   Asso. professor, Electrical & Computer Engineering, King Abdulaziz University, SaudiArabia.
Published: November 2019

This paper presents an intelligent bot for aiding the visually challenged people. Presently, 81% are visually impaired who live in the developing countries. Nowadays Human communication is mainly focused on text and speech. To read the text a human needs a vision. Survey conducted on several papers and systems provides hardware consisting of a camera interface with Raspberry Pi for processing the text. The camera captures text image of a handwritten or printed text. The raspberry pi makes use of Optical Character Recognition (OCR) software installed in it, to perform the conversion of an image to text and similarly text to speech conversion. The assistant is applicable for visually impaired people as well as for normal people in order to increase their level of comfort.
Automated Detection Of Diabetic Retinopathy For Early Diagnosis Using Exudate Images
Authors:   Assoc. Professor, Instrumentation EnggDepartment,Karunya Institute of Tech and Sciences, Coimbatore, Tamilnadu, India, Manimegalai P. , Soundarya S. ,   UG scholar/ECE,Department of ECEKAHE, Coimbatore, Tamilnadu, India., Aswath J.R. ,   UG scholar/ECE,Department of ECEKAHE, Coimbatore, Tamilnadu, India, Sowmiya M. ,   UG scholar/ECE,Department of ECEKAHE, Coimbatore, Tamilnadu, India, Lakshmi N. Raja ,   Associate Professor, Department of Biomedical Engineering, KAHE, Coimbatore,Tamilnadu, India
Published: November 2019

Retina plays a vital character in detection of various diseases in early point such as diabetes retinopathy which can be performed by analyzing the retinal images [6]. Diseased patients have to undergo periodic screening of eye. Standouts amongst the most predominant clinical indications of diabetic retinopathy are exudates [17]. To detect diabetic retinopathy in patients the ophthalmologist inspects the exudates by Ophthalmoscopy [17] where recognition of exudates is a vital diagnostic undertaking in which computer help may assume a noteworthy job. But intrinsic characteristics of retinal images detection process is difficult for the ophthalmologists. Here, we proposed another algorithm “Superpixel Multi-Feature Classification" for the programmed automatic recognition of retinal exudates successfully and to encourage ophthalmologist to give better patient finding experiencing diabetic retinopathy, advising them the level of seriousness ahead of time. The performance of algorithm has been compared as a result, the outcomes are effective and the sensitivity and specificity for our exudates identification is 80% and 91.28%, respectively [15].
Index Of Site Congestion for Effective Material Storage At Construction Site
Authors:   Programme of Civil Engineering, Faculty of Engineering & Built Environment, Universiti Kebangsaan Malaysia, Bangi, Malaysia, Misron Nurul Fathira , Khoiry Muhamad Azry ,   Programme of Civil Engineering& Smart and Sustainable Township Research Centre (SUTRA), Faculty of Engineering & Built Environment, Universiti Kebangsaan Malaysia, Bangi, Malaysia, Hamzah Noraini ,   Programme of Civil Engineering & Smart and Sustainable Township Research Centre (SUTRA), Faculty of Engineering & Built Environment, Universiti Kebangsaan Malaysia, Bangi, Malaysia
Published: November 2019

A project construction requires efficient management of materials storage. Systematic material storage ensures that the workflow of construction works is according to the schedule. Limited material storage will cause congestion at a construction site. The objective of this study is to generate a congestion index of construction for the material storage based on the congestion features and project site area. The survey questionnaire and site surveys methods were used in this study. The congestion index for the survey questionnaire was tested against 12 site congestion characteristics using Relative Important Index (RII). Site surveys have been carried out on 16 strata-type residential projects by identifying the total site area for calculation of congestion index using formula Non-Building Coverage Ratio (NBCR). The results showed that the congestion with the highest index of 0.8557 was a delay or change in the production schedule of the materials. The results of the site surveys have revealed that there are three sites with high levels of congestion with a range of less than 0.5. In conclusion, knowing the site congestion index can efficiently analyse site management strategies, including the management of material storage. Also, material management can create a more organised site schedule.
Implementing Classification Algorithms for Predicting Chronic Diabetes Diseases
Authors:   Assistant Professor &Ph.D Part Time Research Scholar, PG & Research Department of Computer Science and Applications, Vivekanandha College of Arts and Science for Women, Tiruchengode, Tamilnadu, India, Kavitha M. , Subbaiah Dr. S. ,   Assistant Professor, Department of Computer Science, Sri Krishna Arts and Science College, Coimbatore, Tamilnadu, India
Published: November 2019

Now a day Chronic Diabetes Disease is increasing due to many reasons like changes in life style, food habit. It causes an increase in blood sugar levels. If Diabetes Disease remains untreated or unidentified, many different types of complications may be occurred. The doctors have the problem to identify these kinds of diseases easily. The machine learning algorithms helps the doctor to solve these types of problems. In this paper, we implemented three algorithms namely logistic regression, Naive Bayes and Decision tree algorithms to predict diabetes at an early stage. Experiments are performed on Pima Indians Diabetes Dataset, which is from UCI machine learning repository. The performance of all the three algorithms is evaluated using measures on Accuracy. Results obtained showed logistic regression displays 75.3%, Decision tree displays 77.9% and Naive Bayes classifier displays the accuracy value is 76.6%.
GPS: User Position Calculation Including Advanced Troposphere Delay Modeling
Authors:   Asst. Professor, Dept. of ECE, Malla Reddy Engineering College for Women(Autonomous), Secunderabad-TS, India., Nalla Swathi
Published: November 2019

Objective of this project is to analyze and mitigate troposphere delays induced in GPS signals, which can result in very large position errors while estimating user position. The standard models currently present do not take into account all the various set of parameters or elements of the troposphere that can cause a significant delay. This project also includes study of troposphere propagation delays that improve the understanding of GPS signal propagation through the troposphere during irregular conditions. This characteristic is very important as it can play crucial role in real time surveying, navigation, precision farming and positioning for emergency services. Due to the tropical nature of the Indian climate the troposphere delay can be observed significantly in India sub-continent. In order to accurately estimate delay troposphere in real time conditions is taken into account, which are provided by the Indian meteorological department, by their automatic weather surveillance systems. GPS data for stations in India is obtained from CORS data for Bangalore, from where we obtain the observation and navigation files used in the calculations. Obtained data is processed and run through various algorithms like least squares satellite position calculation, error mitigation and ray tracing algorithms to mitigate troposphere and better estimate user position. Apart from these algorithms this project also includes a study on various concepts/formulas that help in using the forecasted real time data to be used in snell’s law to estimate delay as part of ray tracing techniques. All the code development in this project is done using MATLAB by math works and GUI is developed for an easier interface. For analysis purposes the data is analyzed with and without the advanced mitigation techniques to show the improvement in position estimation using advanced troposphere mitigation techniques.
Fractal Antenna Design for Various Multiband Applications
Authors:   ECE Department, Malla Reddy Engineering College For Women, MaisammaGuda Secunderabad, Telangana, India, Rahim K Abdul , Raghavendra K. ,   ECE Department, Malla Reddy Engineering College For Women, MaisammaGuda Secunderabad, Telangana, India,
Published: November 2019

In this paper “Micro Strip Patch Antenna (F-MSPA)” based on fractal is proposed to perform operations over multiband for a specific time bound. This is designed specifically for “Wireless Power Transmission (WPT)” System which is light weight or it is low profile and light weight when implemented. The main aim of proposed methodology or design of antenna is attained by implementing the basic patch called as the rectangular patch, whose scope is till the third level. Based on this the shape of rectangular cuttings are obtained. The antenna is excited by the obtained or generated micro strip feed as the operations of antenna are performed over various frequency ranges between 1GHz to maximum of 5 GHz. The proposed method comprises of fractal antenna resonant with quad frequencies that ranges: 1.86GHz / 2.29GHz / 3.02GHz / 4.50GHz along with their generated loss values are 13.59dB / -23.66dB / -15.94dB / -15.69dB. Proposed antenna simulation is performed using Ansoft HFSSv13 a high frequency structure simulator.
Efficient Way to Detect Bone Cancer using Image Segmentation
Authors:   Professor, Department of Computer science and Engineering, Mallareddy Engineering College for Women, Anandaraj Dr.S.P. , Kirubakaran Dr.N. ,   Professor, Department of Electronics and Professor,Department of Computer science and Engineering, Mallareddy Engineering College for Women, Ramesh Dr.S. ,   Professor, Department of Electronics and Professor,Department of Computer science and Engineering, Mallareddy Engineering College for Women, Surendiran Dr.J. ,   Professor, Department of Electronics and Communication Engineering, Jaya college of Engineering and Technology.
Published: November 2019

Malignant growth is a wild division of irregular cells, which is spread over the parts of the body. Bone disease is one of the sorts of malignancy. Bone malignancy is a pernicious and threatening illness, caused because of uncontrolled division of cells in the bone. The most compromising and usually happened malignancy is bone disease. Prior the location of bone malignant growth is most testing issue. A definitive objective of this paper is to play out an examination on the bone disease pictures to discover the tumor. In this exploration we are looking at K-implies and fluffy C-Means grouping procedures to recognize the presize accuracy tumor part in the bone. In this exploration at first picture experiences into the division procedure and k-implies and Fuzzy C-Means calculations are connected to distinguish the exact tumor part in the bone. In this exploration is completely utilized MATLAB as a programming instrument for the way toward stacking a picture and to perform picture division. For clear comprehension of this exploration the outline and the outcomes will be shown in the sessions of this paper
Appositeness and usage of Visual Cryptography: An Exploration
Authors:   Assistant Professor, Department Of Computer Science And Engineering, MallaReddy Engineering College For Women, Raghupathi M. , Sruthi G. Geetha Sai ,   Assistant Professor, Department Of Computer Science And Engineering, MallaReddy Engineering College For Women
Published: November 2019

Visual cryptography is a cryptographic strategy which enables visual data to be scrambled so that unscrambling turns into a mechanical activity that does not require a PC. In this paper, we expect to think about the extraordinary application zones of Visual Cryptography. Visual Cryptography is a wide zone of research utilized in information stowing away, anchoring pictures, shading imaging, media and other such fields. Visual Cryptography comes in the field of information stowing away utilized in cybercrime, record positions and so on. This paper centers around the application zones of visual cryptography from four distinctive research papers/diaries which talk about the most critical application regions of visual cryptography.
Advances In Conformal Antennas
Authors:   Assoc.Professor, Dept. of ECE, Malla Reddy Engineering College for Women (Autonomous), Secunderabad-TS, Sumalatha Mrs. K. , Kumar Dr. Ch.R.Phani ,   Asst. Professor, GITAM University, Vizag, Andhra Pradesh, India
Published: November 2019

In wireless communication technology, due to fast advancement use of small size antenna has rapidly increased. Not only the antenna size, but also its cost, performance, eases of installation everything have been taken care while designing the antenna. To meet these entire requirement conformal antennas is proposed. Conformal antennas have wide applications in commercial, defense and several civil, systems. In aircrafts and ships they are the need hour and most essential. For such conformal antennas the Patch antennas are often considered as the better candidate. In this paper, we discuss the conformal antennas with various substrates used for designing the antenna. Through this paper, we develop a modeling of conformal antennas with recent advances through surveying of early manifestations.
Personalized Web Explore with Disguised User Contour Structure
Authors:   Assistant Professor, Department of Computer Science and Engineering, Malla Reddy Engineering College for Women, Maisammaguda, Hyderabad, Laxmiprasanna A. , Srivalli  ,   Assistant Professor, Department of Computer Science and Engineering, Malla Reddy Engineering College for Women, Maisammaguda, Hyderabad
Published: November 2019

site structures square measure altered to boost the user navigations. net personification methodology reconstructs the page relates with relevance the traversal path and contour of a particular user. Users knowledge square measure collected and analyzed to fetch the intention behind the issued question. User customizable Privacy protective Explore (UPS) is employed to generalize contours by queries with user privacy necessities. Greedy discriminating power algorithmic program (GreedyDP) is employed to maximise the discriminating power of the user contours. Greedy knowledge Loss (GreedyIL) is employed to attenuate the info loss in user contours. GreedyIL algorithmic program achieves high potency than the GreedyDP algorithmic program. The Personification net Explore (PWS) theme is increased to manage topic relationship based mostly knowledgeable attacks. The User customizable Privacy-preserving Explore (UPS) model is increased to resist question session based mostly attacks. question generalization is performed with question priority values. Anonymisation and topic taxonomy models square measure wont to improve the personification method.