bluuebunny/crossref_metadata_2025_split huggingface dataset:
An Anti-Emulation Structure for Internet Despository Using Secured Image Validation Scheme
Authors: Anupriyan K , Santhosh kumar C , Nagaraj N 
Published: November 2017

Abstract
Emulation attack is an effort by an individual or a group to steal personal confidential information such as passwords, credit card information etc, New approach called visual secret sharing scheme (VSS) for cloning websites classification to solve the problem of Phishing attack. The novel system is developed with the things that eradicate the drawbacks of the existing system. The main aim of visual secret sharing scheme is to conserves the solitude of image by decay the original image into two shares that as been stocked in independent database servers such that the authentic image can be revealed only when they are equally gathered. The specific sheet of representation does not declare the status of the original visual image which was generated previously. Once the unique visual image is discovered to the user then that picture can be used as a password for detecting phishing. In the proposed system, privacy enabled secure database is built. The security level is much enhanced from its actual level. The authentication process can be secured by using double level security.
Dynamic Face Recognition and Tracking System Using Machine Learning in Matlab and Bigdata
Authors: Leo Evenss P.J , Jennings Mcenroe S. , Prabhu Chakkaravarthy A. 
Published: November 2017

Abstract
Face Recognition being one of the methods in identifying individuals is getting enhanced at a faster rate. This paper demonstrates the process of detection of faces of the individuals through a live monitoring camera using matlab and also aids in tracking them. The large amount of images being collected at each second is stored in big databases like Hadoop-databases(hbase) or Mongodb as they are known for their higher processing speed. The facial features are extracted from all the images and are trained into the databases using machine learning algorithm. The tracking of individuals can be achieved by capturing their images while on the move and comparing them with the values stored in the databases. The detection of facial structure is done with Viola-Jones algorithm which though older is easy and efficient to use and Kanade-Lucas-Tomasi(KLT) algorithm is used for feature extraction . The HOG (Histogram of Oriented Gradients) features are extracted for training.
Design of NFC Reader for Enhancement of Mobile Payments
Authors: Chakravarthy P. , Thamizhoviya.K Kavitha S. , Meena S. 
Published: November 2017

Abstract
The NFC concept was mainly based on RFID tags which has the frequency range of 13.56MHz.NFC concept was initially determined to exchange data between two devices at very short distance. RFID uses electromagnetic fields to automatically identify and trace tags attached to objects which contain electronically stored information. The major problem with the RFID tags was their cost and the RFID tags had the possibility to be interfered with metals and liquids when we try to read them. There is a possibility of unauthorized reading of passports and credit cards. NFC readers are more secure and hence the NFC enabled credit cards are much safer than a credit card with magnetic strip. We specially use PIC16F877A for the purpose of matching the details in mobile phone with the information in the NFC reader that are required to make mobile payments.
Multi_level Secure From Web Intrusion and Query Attacks on Web Database
Authors: Nirmala Kumari R , Mala V 
Published: November 2017

Abstract
Most data frameworks and business applications assembled these days have a web frontend and they should be generally accessible to customers, representatives and accomplices around the globe, as the computerized economy is turning out to be increasingly pervasive in the worldwide economy. Strategy and a model instrument to assess web application security components. In this paper, we along these lines propose to make trusted equipment a top notch national in the safe information administration field. Additionally, we trust that cost-driven bits of knowledge and compositional standards will generally change the way frameworks and calculations are planned. We present an outsourced database model that permits customers to execute SQL questions with security and under administrative consistence imperatives by utilizing server-facilitated, sealed trusted equipment in basic inquiry preparing stages, along these lines expelling any confinements on the kind of bolstered inquiries.
Performance and Analysis of Automatic License Plate Localization and Recognition from Video Sequences
Authors: Anto Bennet M. , Thamilvalluvan B. , Alphonse Priyanka Paree , Thendralarasi D.R. , Sujithra K. 
Published: November 2017

Abstract
The works presents license plate recognition system using connected component analysis and template matching model for accurate identification. Automatic license plate recognition (ALPR) is the extraction of vehicle license plate information from an image. The system model uses already captured images for this recognition process. First the recognition system starts with character identification based on number plate extraction, Splitting characters and template matching. ALPR as a real life application has to quickly and successfully process license plates under different environmental conditions, such as indoors, outdoors, day or night time. It plays an important role in numerous real-life applications, such as automatic toll collection, traffic law enforcement, parking lot access control, and road traffic monitoring. The system uses different templates for identifying the characters from input image. After character recognition, an identified group of characters will be compared with database number plates for authentication. The proposed model has low complexity and less time consuming interms of number plate segmentation and character recognition. This can improve the system performance and make the system more efficient by taking relevant sample.
A Wearable Multiparameter Medical Monitoring and Alert System with First Aid
Authors: Manimaraboopathy M. , Vijayalakshmi S. , Hemavathy D. , Priya A. 
Published: November 2017

Abstract
The main aim of the paper is biomedical monitoring of human being. Biomedical values are heart rate ,blood pressure ,body temperature and here we use a GPRS module and biomedical monitoring sensor and data from these sensor are updated to the web server and in addition to that we use an automated external defibrillator(AED) which automatically diagnosis the cardiac arrhythmia of ventricular fibrillation, and pulse less ventricular tachycardia and is able to deal them with an defibrillation, the requisition of electrical therapy which stops arrhythmia , allowing the heart to reestablish the normal rhythm when compare to regular defibrillator it require minimal training to use. Biomedical monitoring promises to give an overview of cardiovascular system non -invasively and this will be easy to use and operate without hospitalization.
Temporal Query Processig Using Sql Server
Authors: Shaik Mastan Vali , Sujatha P 
Published: November 2017

Abstract
Most data sources in real-life are not static but change their information in time. This evolution of data in time can give valuable insights to business analysts. Temporal data refers to data, where changes over time or temporal aspects play a central role. Temporal data denotes the evaluation of object characteristics over time. One of the main unresolved problems that arise during the data mining process is treating data that contains temporal information. Temporal queries on time evolving data are at the heart of a broad range of business and network intelligence applications ranging from consumer behaviour analysis, trend analysis, temporal pattern mining, and sentiment analysis on social media, cyber security, and network monitoring. Social networks (SN) such as Facebook, twitter, LinkedIn contains huge amount of temporal information. Social media forms a dynamic and evolving environment. Similar to real-world friendships, social media interactions evolve over time. People join or leave groups; groups expand, shrink, dissolve, or split over time. Studying the temporal behaviour of communities is necessary for a deep understanding of communities in social media(SM). In this paper we focus on the use of temporal data and temporal data mining in social networks.
Optical Flow Algorithm for Velocity Estimation of Ground Vehicles: A Feasibility Study
Authors: Chhaniyara Savan , Bunnun Pished , Seneviratne Lakmal D. , Althoefer Kaspar 
Published: November 2017

Abstract
This paper presents a novel velocity estimation method for all terrain ground vehicles. The technique is based on a camera that scans the ground and estimates the velocity by using an optical flow algorithm. The method is tested and validated for different types of terrains such as fine sand, coarse sand, gravel as well as a mixture of coarse sand and gravel. Measured velocities from precise encoders are compared with the velocities predicted by the optical flow algorithm, showing promising potential for implementation of the suggested approach in ground vehicles. Investigations have been carried out to determine the optimal feature window size and the influence of camera height on optical flow velocity estimates. Detailed laboratory experiments were carried out to validate the velocity estimation technique and results indicate the usefulness of the proposed method for velocity estimation of ground vehicles.
Electrical Impedance Response of a Thick-Thin film Hybrid Anodic Nanoporous Alumina Sensor to Methanol Vapors.
Authors: Radzik Christopher , Kocanda G. Martin , Haji-Sheikh Michael , Ballantine David S. 
Published: November 2017

Abstract
The response of an anodic aluminum oxide (AAO) nanoporous humidity sensor to an organic vapor such as methanol is presented in this paper. Sensors constructed at Northern Illinois University were exposed to various organic vapors. The characteristic response of the sensor to various vapor dilutions was analyzed using real and complex impedance parameters.
A Design Analysis Of Micromirrors In Stacked Configurations With Moving Electrodes
Authors: Park Sangtak , Chung So-Ra , Yeow John T.W. 
Published: November 2017

Abstract
Micromirrors fabricated by MEMS technology have demonstrated to be important sensing or actuating components in many industrial and biomedical applications such as laser scanning displays, optical switch matrices, and biomedical imaging systems. In this paper, various actuation mechanisms for micromirrors are described. A new geometric configuration of a stacked micromirror that is actuated by electrostatic force is proposed and analyzed to show its superior performance in terms of deflection angle, actuation voltage, and frequency response
A Novel Method For The Improvement In Thermoelectric Property Of Tin Oxide Thin Films And Its Application In Gas Sensing
Authors: S Anuradha , Rajanna K. 
Published: November 2017

Abstract
Tin oxide thin film deposited on to glass substrates by the process of DC reactive magnetron sputtering has been used in our work. These films were characterized for their thermoelectric behavior. Further, a novel method has been developed to enhance the Seebeck coefficient of these films. Prior to the oxide film deposition on the glass substrate, thin metal films have been deposited at the two ends of the sample. High conductivity metals such as chromium, silver and copper were used for this purpose. On characterizing these films for their thermoelectric property, a high Seebeck coefficient of 400 μV/°C has been achieved. In addition to this, we also report the results of the gas sensing behavior of a sensor developed using this film which exhibited a maximum response to acetone gas at a relatively low temperature of 110 °C.
Automatic Adjustment For Laser Systems Using A Stochastic Binary Search Algorithm To Cope With Noisy Sensing Data
Authors: Nosato Hirokazu , Murata Nobuharu , Furuya Tatsumi , Murakawa Masahiro 
Published: November 2017

Abstract
For laser systems, the adjustment of the optical axes is crucial. However, it is difficult for conventional methods to adjust the optical axes because they require high-precision positioning with μm resolutions and because laser systems have many adjustment points that have an interdependent relationship. We have proposed an automatic adjustment method using genetic algorithms to overcome this problem. However, there are still two problems that need to be solved: (1) long adjustment times, and (2) adjustment precision due to observational noise. In order to solve these problems, we propose a robust and efficient automatic adjustment method for the optical axes of laser systems using a binary search algorithm. Adjustment experiments for optical axes with 4-DOF demonstrate that the adjustment time could be reduced to half the conventional adjustment time with the genetic algorithm. Adjustment precision was enhanced by 60%
Observations And Restrictions For Tracking Indices Measurement In Materials Testing
Authors: Fuchs A. , Zangl H. 
Published: November 2017

Abstract
The testing of various carrier materials for circuit paths on the basis of tracking indices determination is of particular interest for many modern sensing technologies, especially for technologies based on capacitive methods, as well as for the protection of circuitries by means of sealing in insulator material. This paper discusses observations for the determination of the tracking indices for elastic insulators according to the DIN standard EN 60112. The appearance of burn-in patterns on the insulator surface and the peculiar decrease of current peak amplitudes with increasing number of electrolyte droplets are investigated and possible causes are discussed, based on Finite Element Analysis and camera images of conducted experiments
Implementation of linear trace moisture sensor by nano porous thin film moisture sensor and NLAmp
Authors: Ghara Dilip Kumar , Saha Debdulal , Sengupta Kamalendu 
Published: November 2017

Abstract
Almost all type of moisture sensors has a non-linear response. With out linearization it is difficult to apply such a non-linear sensor in electronics circuits, specially in analog electronics. Non linear sensor and transducers characteristic can be linearized using analog electronics or digital electronics. In this paper a method of linearization of such non-linear sensors characteristics using analog electronics is described. Theoretical explanation of the methods and its verification by experiment is stated in this paper. It may possible to linearize any non linear characteristic using this method. We use thin film nano porous trace humidity sensor as a non linear device for the circuit justification. The fabrication process of the sensor is also described in this paper.
Dynamic Measurements and Dynamically-Functioning Objects- Time Is to Look at Reality
Authors: Abramchuk G. , Abramchuk K. 
Published: November 2017

Abstract
It is shown that many dynamic tests and measurement technologies base on a changing measurement equation and that internal and external disturbances may change the dynamic functional of the same object and that the reaction of measurement transducer (measurement channel) changes not only in dependence on type of loads. The reasons are given which cause methodical metering errors and make it difficult to build idealized smart sensing and intelligent systems
Flow Regime Identification in Pneumatic Conveyor using Electrodynamic Transducer and Fuzzy Logic Method
Authors: Rahmat M. F. , Kamaruddin N. S. , Isa M. D. 
Published: November 2017

Abstract
Electrodynamic sensor, which can also be called as tribo-electric sensor, senses the electrostatic charge carried by the particle. The tomography system using electrodynamic sensor is called as tribo-electric tomography system. Source of the signal induced on the electrodynamic sensor is brought by the object to be measured and no excitation circuit is necessary. Measuring concentration distribution of the solid particles is essential because it contains useful information about potential problems and further more improve efficiency in the manufacturing or chemical processes. This study proposes to use electrodynamic transducer to measure electrical charge within pneumatic pipeline and utilize the fuzzy logic technique to identify the pattern of flow regimes through pneumatic pipeline. Promising results are obtained through experimental studies.
Simultaneous Periodic Output Feedback Control for Piezoelectric Actuated Structures using Interval Methods
Authors: Neduncheliyan S. , Umapathy M. , Ezhilarasi D. 
Published: November 2017

Abstract
In this paper, the problem of modeling, output feedback control design and the experimental implementation for the vibration control of smart cantilever beam with parameter uncertainties represented in interval form is addressed. The interval model of the system is obtained by introducing variation in the parameter of the identified model. However, Uncertainties are assumed in the model, identified through on line recursive least square parameter estimation. The control and identification process is done by using Simulink modeling software and dSPACE DS 1104 controller board. The output feedback controller design for the interval model is carried out through simultaneous output feedback controller design methodology by considering lower, nominal and upper bound models. The controllers designed are periodic output feedback is experimentally evaluated for their performance in suppressing the first vibration mode.
Towards a New Gas Sensor Microsystem Using Electroactive Polymers Thin Films
Authors: Larbi Allal , Djedou Bachir , Bennacer Layachi , Bousbia-Salah Mounir 
Published: November 2017

Abstract
This paper describes the development of a new gas sensor device using some electroactive polymers in thin layers. The poly(fluoro-aluminium phthalocyanine) powder, (AlPcF)n, has been synthesized, then deposited by vacuum evaporation on alumina or silicon substrates in the form of thin films with control of the deposition rate. (AlPcF)n thin layers are doped by NO2 or O2 diluted at various concentrations in N2 and their conductivity variations are studied as a function of time, temperature and doping gas concentration. The doping process is reversible, and the experimental results are interpreted in terms of adsorption and diffusion of the gas in the polymer, charge transfer, and transport of the injected carriers in the polymer chain.
These experimental results and previous studies on other polymers and oxidizing gases demonstrate the potentiality of such materials to be used as sensitive part of gas sensors.
Uncertainty Analysis of Micro Differential Pressure Sensor using Interval Analysis
Authors: Shanmugavalli M. , Uma G. , Umapathy M. 
Published: November 2017

Abstract
A methodology for robust design analysis of micromechanical systems using interval methods is presented by considering piezo resistive micro differential pressure sensor with uncertainty in its parameters. The proposed method guides the design of micro sensor to achieve a robust and reliable design in a most efficient way. The uncertainty analysis is carried out numerically using Coventorware and analytically using Intlab.
Uncertainty Analysis of Strain Gage Circuits: Interval Method And Interval Algorithm
Authors: Vasuki B. , Umapathy M. , Senthilkumarr A. R. 
Published: November 2017

Abstract
This paper presents uncertainty analysis of a strain gage based instrumentation systems. This has been carried out by interval method and classical methods and is verified by the mean value algorithm based on interval arithmetic. The quarter, half and full bridge configuration of strain gage based circuits are considered to illustrate the analysis.
Polymer Optical Fibre for in Situ Monitoring of Gamma Radiation Processes
Authors: O’Keeffe S. , Lewis E. 
Published: November 2017

Abstract
Poly Methyl MethAcrylate (PMMA) based plastic optical fibres offer a low cost radiation monitoring solution with a wide dose range, capable of providing real-time, online information. The sensitivity of the fibre to ionising radiation is shown to be dependant on wavelength, with the sensitivity increasing with decreasing wavelength, and so by carefully selecting the monitoring wavelength, the desired sensitivity and dose range can be achieved. The fibres exhibit high sensitivity, up to 0.6dBm−1/kGy, and are capable of monitoring dose ranges between 30Gy and 45kGy. This exceeds the sensing range of all commercially available PMMA slab sensors, allowing it to be used for a wide range of applications.
Optical Fiber Humidity Sensor Based on Lossy Mode Resonances
Authors: Hernaez M. , Zamarreño C.R. , Del Villar I. , Arregui F.J. , Matias I.R. 
Published: November 2017

Abstract
A novel optical fiber humidity sensor based on lossy mode resonances (LMR) has been developed. LMRs are supported here by a thin Indium Tin Oxide (ITO) coating fabricated onto an optical fiber core via a sol-gel dip coating. ITO coated optical fiber devices present a resonant maximum absorption peak in the infra-red region which is shifted to higher wavelengths when the refractive index of the medium in contact with the ITO layer is increased. A polymeric structure is deposited onto this ITO using the Layer-by-Layer (LbL) technique. The refractive index of this polymeric coating is sensitive to changes in the external relative humidity (RH), which permits the fabrication of humidity sensors based on LMRs.The wavelength based fabricated sensors showed a dynamical range of 65 nm when the RH varied in the range from 20 to 80% and it has a good linearity when the RH is higher than 40%, high stability and are highly reproducible.
New Method To Assess Service Quality in Care Homes For The Elderly
Authors: Reijula Jori , Rosendahl Toni , Reijula Kari , Roilas Paula , Roilas Heikki , Sepponen Raimo 
Published: November 2017

Abstract
A simple but dependable electronic device, Con-Dis, has been developed to gain reliable information on elderly persons’ perceptions of their well-being. The device has been tested and proven to be technically functional and dependable. It was tested in two care homes for the elderly and two private homes to evaluate whether it provided reliable information about the service quality. This report illustrates the practical usage of the device and shows its efficiency in gathering reliable service quality information from the focus group. The results suggest that Con-Dis is suitable for measuring the perceived service quality and seems to reduce the risk of too-positive evaluations.
Application of Intelligent Controller in a Ball and Beam Control System
Authors: Rahmat Mohd Fuaad , Wahid Herman , Wahab Norhaliza Abdul 
Published: November 2017

Abstract
Ball and beam system is one of a nonlinear and unstable control system, thus providing a challenge to the control engineers and researchers. There are a number of controllers which have been studied for years that can be used to stabilize the ball and beam system. This paper investigates the performance of few different control approaches that consist of conventional controller, modern controller and intelligent controller for a ball and beam system. It will involve the derivation of the mathematical modeling that includes the linearization of the model in order to be used with the linear controllers. The works followed with designing those controllers and simulating it in MATLAB. Each controller performance will be analyzed and compared which is based on common criteria’s of the step response. An appropriate graphic user interface (GUI) has been developed to view the animation of the ball and beam system.