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V. Karthikeyan

Publications and source records attributed to V. Karthikeyan.

17 recordsLinked to original sources

Quadrant Based DIR in CWin Adaptation Mechanism for Multihop Wireless Network

In Multihop Wireless Networks, traffic forwarding capability of each node varies according to its level of contention. Each node can yield its channel access opportunity to its neighbouring nodes, so that all the nodes can evenly share the channel and have similar forwarding capability. In this manner the wireless channel is utilize d effectively, which is achieved using Contention Window Adaptation Mechanism (CWAM). This mechanism achieves a higher end to - end throughout but consumes the network power to a higher level. So, a newly proposed algorithm Quadrant Based Directional Routing Protocol (Q-DIR) is implemented as a cross - layer with CWAM, to reduce the total network power consumption through limited flooding and also reduce the routing overheads, which eventually increases overall network throughput. This algorithm limits the broadcast region to a quadrant where the source node and the destination nodes are located. Implementation of the algorithm is done in Linux based NS-2 simulator.

cs.NI

Step and Search Control Method to Track the Maximum Power in Wind Energy Conversion Systems A Study

A simple step and search control strategy for extracting maximum output power from grid connected Variable Speed Wind Energy Conversion System (VSWECS) is implemented in this work. This system consists of a variable speed wind turbine coupled to a Permanent Magnet Synchronous Generator (PMSG) through a gear box, a DC-DC boost converter and a hysteresis current controlled Voltage Source Converter (VSC). The Maximum Power Point Tracking (MPPT) extracts maximum power from the wind turbine from cut-into rated wind velocity by sensing only by DC link power. This system can be connected to a micro-grid. Also it can be used for supplying an isolated local load by means of converting the output of Permanent Magnet Synchronous Generator (PMSG) to DC and then convert to AC by means of hysteresis current controlled Voltage Source Converter (VSI).

eess.SY

An Efficient Method for Face Recognition System In Various Assorted Conditions

In the beginning stage, face verification is done using easy method of geometric algorithm models, but the verification route has now developed into a scientific progress of complicated geometric representation and identical procedure. In recent years the technologies have boosted face recognition system into the healthy focus. Researchers currently undergoing strong research on finding face recognition system for wider area information taken under hysterical elucidation dissimilarity. The proposed face recognition system consists of a narrative expositionindiscreet preprocessing method, a hybrid Fourier-based facial feature extraction and a score fusion scheme. We have verified the face recognition in different lightening conditions (day or night) and at different locations (indoor or outdoor). Preprocessing, Image detection, Feature- extraction and Face recognition are the methods used for face verification system. This paper focuses mainly on the issue of toughness to lighting variations. The proposed system has obtained an average of 88.1% verification rate on Two-Dimensional images under different lightening conditions.

cs.CV

A Novel Histogram Based Robust Image Registration Technique

In this paper, a method for Automatic Image Registration (AIR) through histogram is proposed. Automatic image registration is one of the crucial steps in the analysis of remotely sensed data. A new acquired image must be transformed, using image registration techniques, to match the orientation and scale of previous related images. This new approach combines several segmentations of the pair of images to be registered. A relaxation parameter on the histogram modes delineation is introduced. It is followed by characterization of the extracted objects through the objects area, axis ratio, and perimeter and fractal dimension. The matched objects are used for rotation and translation estimation. It allows for the registration of pairs of images with differences in rotation and translation. This method contributes to subpixel accuracy.

cs.CV

Localization of License Plate Using Morphological Operations

It is believed that there are currently millions of vehicles on the roads worldwide. The over speed of vehicles,theft of vehicles, disobeying traffic rules in public, an unauthorized person entering the restricted area are keep on increasing. In order restrict against these criminal activities, we need an automatic public security system. Each vehicle has their own Vehicle Identification Number (VIN) as their primary identifier. The VIN is actually a License Number which states a legal license to participate in the public traffic. The proposed paper is to identify the vehicle with the help of vehicles License Plate (LP).LPRS is one the most important part of the Intelligent Transportation System (ITS) to locate the LP. In this paper certain existing algorithm drawbacks are overcome by the proposed morphological operations for LPRS. Morphological operation is chosen due to its higher efficiency, noise filter capacity, accuracy, exact localization of LP and speed.

cs.CV

An Energy Efficient Neighbour Node Discovery Method for Wireless Sensor Networks

The discovery of neighbouring nodes in multihop wireless networks has become a key challenge. Due to tribulations in communication, synchronization loss between nodes, disparity in transmission power etc, the connectivity of nodes will always experience disruptions. On the other hand, the energy utilization by the nodes also became critical . In this paper, we propose a new method for neighbour discovery in wireless sensor networks (WSNs) which pays an eminent consideration for energy utilization and QoS parameters like latency, throughput, error rate etc. In the proposed method, the network routing is enhanced using AOMDV protocol which can accurately discover the neighbour nodes and power management with HMAC protocol which reduces the energy utilization significantly. A complete analysis is being performed to estimate how the Q o S metrics varies in various scenarios of power consumption in wireless networks.

cs.NI

Analysis of Carrier Frequency Selective Offset Estimation - Using Zero-IF and ZCZIn MC-DS-CDMA

A new method for frequency synchronization based upon Zero-Intermediate Frequency Zero-IF receiver and characteristics of the received signal s power spectrum for MC-DSCDMA Up link system is proposed in this paper. In addition to this, employing Zero Correlation Zone (ZCZ) sequences, designed specifically for quasi synchronous up link transmissions, is proposed to exploit frequency and temporal diversity in frequency-selective block fading channels. The variance for Carrier Frequency Offset (CFO) estimators of MC DS CDMA Uplink is compared with that of an OFDM system to estimate the CFO. Our study and results show that the MC DS CDMA system is outperforming the OFDM method

cs.NI

A Narrative Vehicle Protection Representation for Vehicle Speed Regulator Under Driver Exhaustion -- A Study

Driver fatigue is one of the important factors that cause traffic accidents, and the ever-increasing number due to diminished drivers vigilance level has become a problem of serious concern to society. Drivers with a diminished vigilance level suffer from a marked decline in their abilities of perception, recognition, and vehicle control, and therefore pose serious danger to their own life and the lives of other people. Exhaustion resulting from sleep deprivation or sleep disorders is an important factor in the creasing number of accidents. In this projected work, we discuss the various methods of the existing and the proposed method based on a real time online safety prototype that controls the vehicle speed under driver fatigue. The purpose of such a model is to advance a system to detect fatigue symptoms in drivers and control the speed of vehicle to avoid accidents. This system was tested adequately with subjects of different technology of various researchers finally the validity of the proposed model for vehicle speed controller based on driver fatigue detection is shown.

cs.CV

Water Eminence Scrutinizing Scheme Based On Zigbee and Wireless Antenna Expertise - A Study

Wireless Sensor Network is the essential structure of a water eminence monitoring by means of wireless sensor network technology To scrutinize water quality greater than different sites as a synchronized application an estimable system structural design constituted by spread sensor nodes and a base station is suggested The nodes and base stations are linked using WSN technology like Zigbee Base stations are related via Ethernet. Design and execution of a prototype using WSN technology are the exigent work. Data are identified by means of dissimilar sensors at the node plane to compute the parameters like turbidity and oxygen quantity is transmitted via WSN to the support station Information unruffled from the distant location is capable of displayed in diagram setup as well as it is able to be calculated using dissimilar replication tools at the supporting station. The recent methods have benefits such as null amount carbon emission low power utilization more stretchy to put together at distant locations.

cs.NI

Radiation Pattern of Patch Antenna with Slits

The Microstrip antenna has been commercially used in many applications, such as direct broadcast satellite service, mobile satellite communications, global positioning system, medical hyperthermia usage, etc. The patch antenna of the size reduction at a given operating frequency is obtained. Mobile personal communication systems and wireless computer networks are most commonly used nowadays and they are in need of antennas in different frequency bands. In regulate to without difficulty incorporate these antennas into individual systems, a micro strip scrap transmitter have been preferred and intended for a convinced divergence. There is also an analysis of radiation pattern, Gain of the antenna, Directivity of the antenna, Electric Far Field. The simulations results are obtained by using electromagnetic simulation software called feko software are presented and discussed

cs.IT

Ontology - Based Dynamic Business Process Customization

The interaction between business models is used in consumer centric manner instead of using a producer centric approach for customizing the business process in cloud environment. The knowledge based human semantic web is used for customizing the business process It introduces the Human Semantic Web as a conceptual interface, providing human-understandable semantics on top of the ordinary Semantic Web, which provides machine-readable semantics based on RDF in this mismatching is a major problem. To overcome this following technique automatic customization detection is an automated process of detecting possible elements or variables of a business process that needto be especially treated in order to suit the requirement of the other process. To the business processto be customized as the primary business process and those that it collaborates with as secondary business process or SBP Automatic customization enactment is an automated process of taking actions to perform the customization on the PBP according to the detected customization spots and the automatic reasoning on the customization conceptualization knowledge framework. The process of customizing businessprocesses by composite the web pages by using web service.

cs.AI

Hilditchs Algorithm Based Tamil Character Recognition

Character identification plays a vital role in the contemporary world of Image processing. It can solve many composite problems and makes humans work easier. An instance is Handwritten Character detection. Handwritten recognition is not a novel expertise, but it has not gained community notice until Now. The eventual aim of designing Handwritten Character recognition structure with an accurateness rate of 100% is pretty illusionary. Tamil Handwritten Character recognition system uses the Neural Networks to distinguish them. Neural Network and structural characteristics are used to instruct and recognize written characters. After training and testing the exactness rate reached 99%. This correctness rate is extremely high. In this paper we are exploring image processing through the Hilditch algorithm foundation and structural characteristics of a character in the image. And we recognized some character of the Tamil language, and we are trying to identify all the character of Tamil In our future works.

cs.CV

Face Verification Using Kernel Principle Component Analysis

In the beginning stage, face verification is done using easy method of geometric algorithm models, but the verification route has now developed into a scientific progress of complicated geometric representation and matching process. In modern time the skill have enhanced face detection system into the vigorous focal point. Researchers currently undergoing strong research on finding face recognition system for wider area information taken under hysterical elucidation dissimilarity. The proposed face recognition system consists of a narrative exposition indiscreet preprocessing method, a hybrid Fourier-based facial feature extraction and a score fusion scheme. We take in conventional the face detection in unlike cheer up circumstances and at unusual setting. Image processing, Image detection, Feature removal and Face detection are the methods used for Face Verification System . This paper focuses mainly on the issue of toughness to lighting variations. The proposed system has obtained an average of verification rate on Two-Dimensional images under different lightening conditions.

cs.CV

Face Verification System based on Integral Normalized Gradient Image(INGI)

Character identification plays a vital role in the contemporary world of Image processing. It can solve many composite problems and makes humans work easier. An instance is Handwritten Character detection. Handwritten recognition is not a novel expertise, but it has not gained community notice until Now. The eventual aim of designing Handwritten Character recognition structure with an accurateness rate of 100% is pretty illusionary. Tamil Handwritten Character recognition system uses the Neural Networks to distinguish them. Neural Network and structural characteristics are used to instruct and recognize written characters. After training and testing the exactness rate reached 99%. This correctness rate is extremely high. In this paper we are exploring image processing through the Hilditch algorithm foundation and structural characteristics of a character in the image. And we recognized some character of the Tamil language, and we are trying to identify all the character of Tamil In our future works.

cs.CV

Improving The Scalability By Contact Information Compression In Routing

The existence of reduced scalability and delivery leads to the development of scalable routing by contact information compression. The previous work dealt with the result of consistent analysis in the performance of DTN hierarchical routing (DHR). It increases as the source to destination distance increases with decreases in the routing performance. This paper focuses on improving the scalability and delivery through contact information compression algorithm and also addresses the problem of power awareness routing to increase the lifetime of the overall network. Thus implementing the contact information compression (CIC) algorithm the estimated shortest path (ESP) is detected dynamically. The scalability and release are more improved during multipath multicasting, which delivers the information to a collection of target concurrently in a single transmission from the source

cs.IT

An Efficient Method for Recognizing the Low Quality Fingerprint Verification by Means of Cross Correlation

In this paper, we propose an efficient method to provide personal identification using fingerprint to get better accuracy even in noisy condition. The fingerprint matching based on the number of corresponding minutia pairings, has been in use for a long time, which is not very efficient for recognizing the low quality fingerprints. To overcome this problem, correlation technique is used. The correlation-based fingerprint verification system is capable of dealing with low quality images from which no minutiae can be extracted reliably and with fingerprints that suffer from non-uniform shape distortions, also in case of damaged and partial images. Orientation Field Methodology (OFM) has been used as a preprocessing module, and it converts the images into a field pattern based on the direction of the ridges, loops and bifurcations in the image of a fingerprint. The input image is then Cross Correlated (CC) with all the images in the cluster and the highest correlated image is taken as the output. The result gives a good recognition rate, as the proposed scheme uses Cross Correlation of Field Orientation (CCFO = OFM + CC) for fingerprint identification.

cs.CV

A New Approach to the Solution of Economic Dispatch Using Particle Swarm Optimization with Simulated Annealing

A new approach to the solution of Economic Dispatch using Particle Swarm Optimization is presented. It is the progression of allocating production amongst the dedicated units such that the restriction forced are fulfilled and the power needs are reduced. More just, the soft computing method has received supplementary concentration and was used in a quantity of successful and sensible applications. Here, an attempt has been made to find out the minimum cost by using Particle Swarm Optimization Algorithm using the data of three generating units. In this work, data has been taken such as the loss coefficients with the max-min power limit and cost function. PSO and Simulated Annealing are functional to put out the least amount for dissimilar energy requirements. When the outputs are compared with the conventional method, PSO seems to give an improved result with enhanced convergence feature. All the methods are executed in MATLAB environment. The effectiveness and feasibility of the proposed method were demonstrated by three generating units case study. Output gives hopeful results, signifying that the projected method of calculation is competent of economically formative advanced eminence solutions addressing economic dispatch problems.

cs.CE