bluuebunny/crossref_metadata_2025_split huggingface dataset:
Simulation of Supercapacitor Energy Storage System with Bi DC-DC converters
Authors: Reddy Tripuravaram Chandrasekhar , Reddy Koki Kesavardhan , Venkatesh Biyyala , Muthusamy Maheswari , Pillai Adarsh Vijayan 
Published: November 2019

Abstract
FACTS devices are extensively employed to enhance power system quality and security. They are capable of exchanging limited real power even though they have real and reactive power exchanging capability with power system. The main reason for the limited ability to exchange real power is not considering energy storage device. In FACTS devices STATCOMs are most commonly employed because of many advantages. STATCOMs coupling with Energy Storage Devices (ESD) like batteries, Supercapacitor, flywheels, semiconductor magnetic energy storage (SMES) were initiated to increase real power exchanging capability with the power system. Because of slow chemical reaction batteries the power discharging capability is limited. Present trend is to employ energy storage for short term to improve dynamic stability. Supercapacitor ESD will help in the dynamic stability and quality with STATCOMs. Even though they have less energy storing capability power exchanging capability is large when comparison with batteries. In this paper design of energy storage system with Supercapacitor is discussed and coupling with bi dc/dc converters with controlled strategies. To control the SCESS system a peak current mode controller is used. SCESS system is constructed in MATLAB simulink and results with Supercapacitor and without Supercapacitor are discussed in this paper.
NON INVASIVE HEARING AID USING THE NATURAL AMPLIFICATION OF EAR THROUGH BONE CONDUCTION
Authors: Thresa P. , Sundaram V. , Swamynathan P.V. , Kumar A.Kishore , Nisanth M.B. , Chandran K.Ajith 
Published: November 2019

Abstract
Several hearing aids have been invented for outer ear drum problems whereas inner ear drum problem is permanent and it can be fixed only by surgical means. This hearing aid is designed to use the natural amplification of ear. This device consists of a AVR controller, a GSM module, a playback module and a relay. Any signal that is received by the GSM module is transmitted to the piezoelectric actuator by the AVR controller which generates the vibrations that is sent to cochlea through the teeth. This way the sound is imported from the impaired ear to hearing ear. This device can be fixed on the teeth and no alteration of the teeth is required. It is completely non-invasive. The GSM module receives incoming calls and automatically answers the calls via AT commands. The playback module allows the user to hear music and receive the incoming calls giving priority to calls. A relay is used to switch between the music playback and GSM module. It is simple, removable and customizable according to the users will.
DESIGN, FABRICATION AND ANALYSIS OF PERSONAL VACUUM ASSISTED CLIMBER
Authors: Shanmugasundar G. , Jagadeeshwar P , Adithya S , Nagappan V , Bhaskar M 
Published: November 2019

Abstract
There are various instances where a human as to climb the walls of a high-rise building. Some of them are inspection of high pipes and wall, fire rescue operations, painting and repairs. Unlike the traditional method of using grappling hooks used for wall climbing, this device uses the principle of vacuum to scale the walls. The major motive of this project is to make the manufacturing and usage of this device simple. The suction is produced using the vacuum motor setup and a release valve mechanism is used to help the climber take successive steps. The suction force produced by suction pads is designed by considering both the external conditions and the loads of working equipment. In this research work we have performed a basic experiment on the vacuum suction force of suction pads attached to a vertical wall under various load conditions.
RETRACTED: CO-EXERCISE OF DT AND KNN CLASSIFIERS FOR FAULT DETECTION AND CLASSIFICATION OF SEMI SUPERVISED MACHINE LEARNING
Authors: Caroline El Fiorenza J , Sikerwar Deepeli , Reddy Jayasyam , Nitisha k , Joshi Muskan 
Published: November 2019

Abstract
In this paper a new comprehensive scheme for fault finding and logging for a compound progression is presented. This paper concentrates on the progression facts and skilful data, a trivial amount of labelled data and a large amount of unlabelled progression data are used for constructing the neighbourhood weighted graph. The optimal prediction label matrix of unlabelled data and the optimal regression function are obtained by solving the optimal problem. Then the monitoring data is projected to the low dimensional with the regression function, and the state label matrix of monitoring data can be acquired. This scheme can guarantee intrinsic structural of data by constructing an undirected weighted graph, and is suitable for the complex progression with nonlinear trait.
Automated car parking system
Authors: Azshwanth D. , Koshy Mithul Titten , Balachander Mr.T. 
Published: November 2019

Abstract
The main aim that we have is to create a completely automated car parking system with minimal human interference. With the rising population in the world, time is of the essence and hence we need to minimize the time taken by trivial activities such as finding a place to park in a busy place and avoid traffic congestion. We have seen in existing systems sometimes accidents can occur in parking situations by cars going at high speed o caused by frustrated drivers unable to find a parking space for a long period of time. In our project we propose a smart and automated car parking model that will help the user in booking their parking spaces beforehand and the vehicle will be able to park automatically once in the parking zone. The difference between our project of automated car parking systems is we hope to minimize human interaction as much as possible and make both the vehicle and the parking area fitted with sensors that will help us execute a safe and efficient way of parking. Hence, we aim to provide a completely safe and automated experience that is robust and can be implemented in real time and hopefully be implemented as the general norm for parking systems in the future.
Intelligent Transportation Cyber Physical system toward Comfort and Safety perspective using Fuzzy Logic
Authors: Selvanayaki P.Sri Sindhuja , KumarKaliappan Vishnu 
Published: November 2019

Abstract
Intelligent transportation cyber physical system (ITCPS) is used to enhance the safety and performance of the road transportation of a country. A crucial element that affects road safety is passengers comfort factor since a large crowd always invites accidents. An Intelligent Transportation Cyber Physical System is proposed using fuzzy logic for automatic crowd monitoring in buses. Sub-sentential research has been undertaken in ITCPS to manage traffic, safety, and security among which safety measures in the public transportation system is crucial. The main focuses of this paper are on passengers comfort factor and safety. The proposed framework gathers a large set of input parameters using an onboard sensor. Fuzzy logic is applied to identify whether the passenger bus is crossing the safety limit, the data are stored in cloud storage. The Intelligent Transportation Cyber Physical System then monitors the crowded area and allocates another bus by providing proper intimation to the users, the process avoids bus bunching. The test bed is created to simulate the Intelligent Transportation Cyber Physical System framework, with the different scenario the performance is measured.
WSN Based Tariff and Electrical Loads Theft Identification
Authors: Sasirekha N , Harirajkumar J , Haripriya S , Janani T , Jahan R Juhi , Janani R 
Published: November 2019

Abstract
Energy storing has turned into a notable statement for the society of nowadays. This paper displays a Wireless Sensor and Actuator Network (WSN) intended to offer help to a programmed framework, based on the GSM, which empowers a mindful utilization of vitality. The proposed system plays out a proficient administration of devices, machines and procedures, upgrading their activity to accomplish a decrease in their general vitality use at some random time. For this reason, significant information is gathered from smart sensors, which are placed at the required areas, just as from the vitality showcase through the wireless communication. This data analysis is to give learning about load use, and to enhance proficiency.
Intellectual Homography Based Global Motion Estimation For Blocks In Video Coding
Authors: Mathew Sharon Elsa , Kokila S. 
Published: November 2019

Abstract
Block matching techniques for estimation of motionis very commonly utilized for current video coding standards as it is simple and has reasonable performance. There always lies a homography among the consecutive frames in the sequences of video that is taken using the PTZ cameras because of the restricted movements. This symmetrical relationship of the frame is very useful to decrease the spatial redundancy. The estimation of motion is playing a very significant part in science nowadays. Many algorithms are been proposed to observe movement of the objects present in the space. In this project, a homographybased local maximum search algorithm is proposed for the accurate guidance of the small bodies present in the space. This method will helps for the accurate movement detection. The proposed method is proven to be more for the sequences when compared with the traditional fast algorithms. The simulation is carried out using MATLAB software.
A Comprehensive Analysis of Privacy-preserving Techniques in Deep learning based Disease Prediction Systems
Authors: Andrew J , Mathew Shaun Shibu , Mohit Batra 
Published: November 2019

Abstract
With the rise in demand for deep learning models due to its ability to learn features from data, and predict, it is widely used in disease prediction systems. However, as patient medical records are considered to be highly confidential due to them consisting of personal information, its privacy-preservation is of prime importance. Conventional privacy-preserving techniques often tend to hinder the utilitarian aspect of the system. In this paper we carry out a comprehensive analysis of privacy-preserving techniques for disease prediction systems that use deep learning along with a comparison of the different privacy-preserving techniques. This paper also discusses the existing privacy-preserving approaches in deep learning. They are cryptographic approaches, attribute-based encryptions, homomorphic encryptions and other hybrid approaches.
Iot Based Air Pollution Monitoring System Using Esp8266-12 With Google Firebase
Authors: Jenifer  , Aravindhar D. John 
Published: November 2019

Abstract
In this progress I am progressing to build an IOT air pollution monitoring System within which I will be able to monitor a Air Value done by internet server using net and may activate a alarm once the air value goes down on the far side an exact level, means that once there square measure enough quality of harmful gases measure within the air like co2, smoke, alcohol, benzene, NH3, temperature and wetness. it’ll show the air value in PPM in web-page so I will be monitoring it terribly simply. During this IOT project, will be monitoring the pollution level from anyplace using your pc or mobile. I will install this method anyplace and accurate data from devices using internet application using HTTP Protocol.
RETRACTED: Facial Recognition Using Aggregation and Random Forest Classification Method
Authors: Aishwarya K. , Kumar B. Suresh , Raju S. Viswanadha 
Published: November 2019

Abstract
Face detection and recognition performs an essential role in computer. There was tremendous increase in face recognition during the last years. There are numerous applications that require the face detection. As this face detection is the first step. There are many growing applications such as bank authentication, security access in system, enforcement of law, verification of credit cards, biometric authentication which works based on face detection. The goal of this paper is to presents a facial recognition system with deep learning methodologies. In this paper machine learning aggregation method is used to store the feature of detecting image and random forest algorithm also used to classify a detected image which is applied on face database and compared with previous algorithm which shows accurate ratio.
Power Quality Enhancement in Microgrid With Dstatcom Using Modified Reinforcement Learning Algorithm
Authors: Prabaakaran K , Krishnakumar Sri , Srividhya R , Ganesh Raw R , Gotham R , Tamilarasan R 
Published: November 2019

Abstract
To enhance the power quality issue in grid system a new strategy with modification in algorithm is presented as reinforcement learning. A new technique will mitigate issues like reactive power, harmonics, voltage sag, voltage swell. A system as a current controller to enhance the current issue and the voltage controller to enhance the power quality issues in voltage. Due to an issue of unbalanced load in the grid the weak AC supply can be compensated by using the modified reinforcement learning algorithm. During the occurrence of the power quality issue in the grid modified reinforcement learning algorithm is proposed due to quick response.
Detection of Bacterial Contamination and Ph Quantity Using Digitalization Strategy
Authors: Jayakumar D. , Rajmohan R. , Saravanan D. , Ramkumar MO. 
Published: November 2019

Abstract
Food is essential for all the human being. In the food we are gained the more number of energy to our body. But now days, Lot of chemical substances that are added in the food. That makes human being to be unhealthy person. Children are also affected due to unhealthy food. In our proposal, we used to find the quality of food using the pH sensor. The pH sensors are used to find the pH value of the food and also find the bacterial contamination of the food. This project is used for the government to find the quality of food in the restaurant and display their result in the server and also check the quality of food and display the output pH value in the message using GSM. In additional, we can also share the location of the restaurant.
Automatic Balance Provider
Authors: Prema G , Shobana G , Gowtham N K B 
Published: November 2019

Abstract
Rupee Note is the basic requirement in day-to-day life which are used everywhere. The Rupee Notes are in the denomination ₹10, ₹20, ₹50, ₹100, etc. and the coins are in the denomination ₹1, ₹2, ₹5. It is not sure to get the exact amount for the product while purchasing. It may be a difficult task for the shopkeeper to search the coins and provide the balance to each and every customer. This is the main purpose of designing such a machine. This machine designed for providing the balance amount in coins automatically to the customer. This machine captures the image of the note provided by the customer and the value of the note determined using image processing technique. The Image Processing is done with the help of Python OpenCV.
Heat transfer enhancement in thermosyphon with nanofluid
Authors: Das Sidhartha , Giri Asis , Samanta S. 
Published: November 2019

Abstract
Heat transfer enhancement in a two phase closed thermosyphon was studied. CuO nanofluid and deionized water as a working medium was investigated. The experiment was carried out at different heat input of 10W and 16W. To see the effect of inclination angle, thermosyphon was varied at different inclination angle of 30°, 45°, 60° and 90°. The average size of the nanoparticles were around 50 nm in size.
Pattern Classification of Continued Fractions With Square Number as Base
Authors: Venkatachalam A. , Balamurugan P. 
Published: November 2019

Abstract
In number theory, study of number sequences is an enthusiastic area. Among these the sequence of polygonal numbers gives a unique richness in is applicability. Polygonal numbers which have both order, rank of are of various dimensions. Here, the study is only on two dimensional figurate numbers. Here the ratios of polygonal numbers are studied as continued fractions. In this paper different types of properties and characteristics of sequence of continued fraction which represent ratios of polygonal number of same rank are discussed. As any polygonal can be sub divided into smaller squares, square numbers have been taken as base here. Based upon on this study the nature and periodicity of the general sequence can be studied in detail.
Notations:
1. 〈 u
0, u
1, u
2, u
3, …., un
〉 – Continued fraction expansion
2. S
5,n
- Pentagonal number
3. S
6,n
- Hexagonal number
4. S
7,n
- Heptagonal number AMS Classification: 11A55
Assessment of Co-Variance for Transmission Flow Series-Parallel Reliability Systems
Authors: Razak K. Abdul , Rajakumar K. 
Published: November 2019

Abstract
A methodical hypothesis of dependability depends on likelihood hypothesis. It is outstanding that the ordinary unwavering quality examination utilizing the probabilities has been observed to be insufficient to deal with the uncertainty of disappointment in information and displaying. The fluffy set hypothesis gives a helpful instrument to supplement customary dependability speculations. This paper proposes the transmission stream framework outline in arrangement parallel structure to assess the most extreme unwavering quality subject to the frame work cost. The co-productive of variation (CV) is acquainted with evaluate every enrollment work. This approach is to discover least CV with high reliability gauge.
Solving fully fuzzy linear systems by Gauss Jordan Elimination Method
Authors: Muruganandam S. , Razak K. Abdul , Rajakumar K. 
Published: November 2019

Abstract
In this paper, we discuss fully fuzzy linear systems with triangular fuzzy numbers. A Gauss Jordan Elimination Method is proposed for solving fully fuzzy linear systems (FFLS). We used elementary row operations augmented matrices of crisp linear system of equation to arrive the row reduced form. The method in detail is discussed and illustrated by a numerical example.
Solving Transportation Problem with Four Different Proposed Mean Method and Comparison with Existing Methods for Optimum Solution
Authors: Sathyavathy M. , Shalini M. 
Published: November 2019

Abstract
In this article, finding an optimal solution is the prime requirement for the transportation problems. We compared a four different proposed mean (PAM, PHM, PGM, PQM) to find out the optimum solution of a TP. The most attractive feature of this method is that requires very simple statistical and rational calculation, that’s why it is very easy even for layman to understand and use. This method will be very beneficial for those decision makers who are dealing with logistics and supply chain related issues. A Numerical illustration is established and the optimality of the result received by this method is also verified. MSC: 90C08
A Survey on Animal Voice Recognition: Mood and Behaviour using Machine Learning Approach
Authors: Santhanakrishnan C. , Jha Nitish , Verma Vishal 
Published: November 2019

Abstract
Voice recognition frameworks turned into the fundamental applications for discourse recognition innovation, a creature affirmation framework bolstered creature voice design recognition rule has been created. The proposed creature voice recognition framework uses the zero-cross rate, MelFrequency Cepstral Coefficient and Dynamic-Time wrap joint calculations in light of the fact that the instruments for recollecting the voice of the genuine creature. ZCR is utilized for the begin point recognition of testing voice indicated the commotion might be expelled. MFC is utilized for the strategy for quality extraction wherever an extra consolidated and less excess of the delegate voice might be accumulated from the testing voice. while the voice order will be finished by abuse DT WRAP rule. At that point the voice coordinating is done to distinguish and characterize the creature seen by the framework. The program made and data noted demonstrates the recognition framework works.
A Survey on Tracing Heart Attacks by Pulse Monitoring in IoT
Authors: Santhanakrishnan C. , Poojitha N. Gayathri , Jahnavi Reddy L 
Published: November 2019

Abstract
Safeguarding one’s health is optimal for longevity and a good life. Heart attacks have become so common amongst the public due to the lifestyle and food habits being followed. Early detection of an oncoming heart attack can help reduce seriousness of the incident and safeguard the patient’s health. Technology has always been used in healthcare and has proved to be extremely beneficial. Internet of Things is a phenomenon that is utilized in day to day human activities. It is an interlinked collection of hardware devices, home appliances that are interfaced with electronics, software, sensors, and actuators. Internet is the backbone of connectivity and Things mean objects or devices. Sensors play a vital part in the field of IoT. To provide a system where heart attacks can be detected early, heart beats of the patient are monitored using a pulse sensor and a temperature sensor, which is then interfaced with a microcontroller. This sensor will be installed in a wearable device. When the heartbeat of the patient exceeds a certain threshold value, an alert will be sent to the remote family, and the medical authorities with the help of the Internet. Sensor is used for sensing the heart beats. The microcontroller receives these beats and evaluates pulse. If the pulses are above or lower than the threshold value, the microcontroller initiates WiFi module and sends out distress message to mobile contacts previously stored inside microcontroller.
A Survey On Auto-Image Colorization Using Deep Learning Techniques With User Proposition
Authors: Santhanakrishnan C. , Durgapal Neeraj , Yadav Deepak 
Published: November 2019

Abstract
An approach based on deep learning for automatic colorization of image with optional user-guided hints. The system maps a gray-scale image, along with, user hints” (selected colors) to an output colorization with a Convolution Neural Network (CNN). Previous approaches have relied heavily on user input which results in non-real-time desaturated outputs. The network takes user edits by fusing low-level information of source with high-level information, learned from large-scale data. Some networks are trained on a large data set to eliminate this dependency. The image colorization systems find their applications in astronomical photography, CCTV footage, electron microscopy, etc. The various approaches combine color data from large data sets and user inputs provide a model for accurate and efficient colorization of grey-scale images.