AN EXTENSIVE STUDY ON IRIS RECOGNITION USING IRIS IMAGES

AN EXTENSIVE STUDY ON IRIS RECOGNITION USING IRIS IMAGES

N. BENCY ¹, DR.J. JESU VEDHA NAYAHI ²

¹PG Student, ²Assistant Professor

^1,2Department of CSE, Anna University, Tirunelveli Region, Tamilnadu, India.

                                Biometric systems use unique body and behavioral characteristics of individuals for identification, verification and recognition. Iris has 240 unique features for identification which is five times more than finger printings. The pattern of the human iris differs from person to person, even between monocular twins. The process of iris recognition is split into 4 major steps such as Iris segmentation, normalization, feature extraction, and matching. This survey explains various efficient methods that are used in recognition and compares the features of existing techniques.

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ADAPTIVE VOID RECOVERY MECHANISM USING GEOGRAPHIC ROUTING PROTOCOL FOR WIRELESS SENSOR NETWORKS

ADAPTIVE VOID RECOVERY MECHANISM USING GEOGRAPHIC ROUTING PROTOCOL FOR WIRELESS SENSOR NETWORKS

E.GOLDEN JULIE ¹, M.THANGA ARUNA ²

1Assistant..Professor,Department.ofComputeScience&Engg.,AnnaUniversityRegionalCampusTirunelveli.

²Department of Computer Science &Engg.,Anna University Regional Campus – Tirunelveli

                        Routing is the process of selecting the best path from source to destination. Nowadays routing in three dimension in increasing since sensor nodes are deployed in the three dimensional region. In this routing mechanism, the data packet in the three dimensional region is routed using the geographic routing by constructing a forwarding region. It is assumed that the nodes in network have the same sensing range and same energy. The forwarding region is in the form of a conical region is used to find the next forwarding node in the network towards the sink node. Whenthe data packet is generated from a node it constructs forwarding region to find the next node to forward the packet. Ifany node found then it forwards the packet to the node else it twice the angle and search for the node. The searching process continues until it reaches the maximum angle or it finds the node inside the region. When no nodes found up to maximum angle then the corresponding node is considered as the void node.  If there is no lifetime for the received packet then it can be discarded. For occurrence of the void node the corresponding data packet can be traced back to the sender. So this reduces the void node .problem. in. the..network.

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AUTOMATIC ENERGY METER READINGAND TRANSFORMER OIL LEVEL SENSOR USING WIRELESS COMMUNICATION

AUTOMATIC ENERGY METER READINGAND TRANSFORMER OIL LEVEL SENSOR USING WIRELESS COMMUNICATION

 RAJESH KANNAN.C ¹, KODEESWARAN.P ², KARTHIKEYAN.B ³, P.PAVUNRAJ ⁴    

          

^{1 2 3}UG student- Department of EEE – Vickram College of Engineering, Enathi Tamilnadu, India.

⁴Assistant Professor - Department of EEE – Vickram College of Engineering, Enathi Tamilnadu, India.

The main objective of this paper is to reduce EB staff member needed to visit every house and to note down the EB reading. In addition, we have introduced the automation in paralleling of transformers based on the load used by the consumers. Mean while, the transformer oil temperature and oil level are also monitored. Here, we are using digital Energy meter that generates pulses based on the amount of energy consumed. These pulses are given to microcontroller that counts it for calculation of energy consumed. EB bill will be displayed in LCD for every 2 months. For every 10 pulses, microcontroller will send digital data to the microcontroller at the EB station via GSM module.CTs are connected in series with the load. This helps calculating the current drawn by the consumers. Using CT, the total power consumed is calculated.

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ACHIEVING SHORT CHANNEL ZAPPING TIME IN IPTV

ACHIEVING SHORT CHANNEL ZAPPING TIME IN IPTV

 A.BRINDHA ¹, S.CAMMILLUS ²

¹PG Student, ²Assistant Professor[SG]

^1,2Department of ECE,National Engineering College (Autonomous),Kovilpatti, Tamilnadu, India.

                                IP-Based TV systems are mainly used to stream the multimedia content over the internet. The video content for IPTV is streamed in the form of frames and stored in the buffer. Other than the channel being watched, a client also streams an extra combination of adjacent channel which consists of video segments sampled from a group of channels that a client might watch in the near future. Video segments streamed from the internet will be stored in a local buffer. Compared with the ordinary broadcast TV systems, IP-based TV systems suffer from a much longer channel switching delay. One of the most challenging issues in IPTV is the channel zapping time. Due to bandwidth limitations and buffer size at user side, prevents the user from receiving all the channels at the buffer for the same time. When the client issues a channel switching request to a target channel, the client will immediately playback the most recently downloaded frame of the target channel, leading to close-to-zero channel switching time. Thus the buffer shape can be changed in the form of a matrix so that the rearrangement of data is much simpler and the buffer delay is reduced to some extent. The streamed frames of the video will have a large amount of redundant data. The redundant data can be removed by using the fuzzy compression technique. The removal of redundant data will lead to the reduction in the amount of data being streamed from the network and thus the buffer size can also be reduced to a considerable amount.

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MODEL PREDICTIVE TECHNIQUE FOR MPPT OF GIRD-TIED PHOTOVOLTAIC SYSTEM

MODEL PREDICTIVE TECHNIQUE FOR MPPT OF GIRD-TIED PHOTOVOLTAIC SYSTEM

M.DHIVYA

UG student- Department of EEE – Vickram College of Engineering, Enathi Tamilnadu, India.

                       

This paper presents a maximum power point tracking (MPPT) method using model predictive technique for agrid-tied photovoltaic harvesting energy system. A single-stage grid-tied Z-source inverter is used for extracting the maximum available power and feeding the power to the grid. The proposed technique predicts the future behavior of the photovoltaic side voltage and current by using a digital observer which estimates the parameters of the photovoltaic module. The proposed method features simultaneously reduction in oscillation around maximum power point (MPP) and fast convergence by adaptively changing the perturbation size using the predicted model of the system. The experimental results demonstrate fast tracking response under dynamic weather condition, small steady state error, small oscillation around MPP at steady state, and high MPPT efficiency for wide range of solar irradiance levels.

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