2013 IEEE International Conference ON Emerging Trends in Computing, Communication and Nanotechnology (ICECCN)最新文献_第4页

Area efficient high speed low power multiplier architecture for multirate filter design 用于多速率滤波器设计的面积高效高速低功率乘法器结构

2013 IEEE International Conference ON Emerging Trends in Computing, Communication and Nanotechnology (ICECCN) Pub Date : 2013-03-25 DOI: 10.1109/ICE-CCN.2013.6528474

K. Mariammal, S. V. vasantha Rani, T. Kohila

{"title":"Area efficient high speed low power multiplier architecture for multirate filter design","authors":"K. Mariammal, S. V. vasantha Rani, T. Kohila","doi":"10.1109/ICE-CCN.2013.6528474","DOIUrl":"https://doi.org/10.1109/ICE-CCN.2013.6528474","url":null,"abstract":"Interpolation and Decimation is very effective and popular in multirate signal processing applications. This paper proposes a high speed, area and power efficient VLSI architecture for polyphase decimation filter with decimation factor of three (D=3) using BFD (Bypass Feed Direct) multiplier. Various key performance metrics such as number of slices, maximum operating frequency, number of LUT's, input output bonds, power consumption, setup time, hold time, propagation delay between source and destinations are estimated for the filter of length nine (N=9). The power dissipation is reduced in polyphase decimation filter using BFD multiplier which consumes low-power when compared to the conventional multiplier. The speed is improved by using carrylook ahead adder. This architecture also provide significant reduction in area (in terms of number of slices). The proposed scheme has been simulated and the results are reported. It was observed that the proposed scheme provides 57.99% increase in speed, 83.3% reduction in area and slight reduction in power dissipation when compared to conventional multiplier.","PeriodicalId":286830,"journal":{"name":"2013 IEEE International Conference ON Emerging Trends in Computing, Communication and Nanotechnology (ICECCN)","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-03-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129752986","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 6

An enhanced approach to reduce rerouting time in MANETs 一种减少多网重路由时间的改进方法

2013 IEEE International Conference ON Emerging Trends in Computing, Communication and Nanotechnology (ICECCN) Pub Date : 2013-03-25 DOI: 10.1109/ICE-CCN.2013.6528614

A. Hussain, P. Khader

引用次数: 4

Study of 25nm Symmetric Extended Source/Drain Schottky Tunneling Transistors 25nm对称扩展源漏肖特基隧道晶体管的研究

2013 IEEE International Conference ON Emerging Trends in Computing, Communication and Nanotechnology (ICECCN) Pub Date : 2013-03-25 DOI: 10.1109/ICE-CCN.2013.6528485

J. Ajayan, T. Subash, T. Gnanasekaran, N. Kumar

引用次数: 0

EEG signal classification using Principal Component Analysis with Neural Network in Brain Computer Interface applications 神经网络主成分分析在脑机接口中的应用

2013 IEEE International Conference ON Emerging Trends in Computing, Communication and Nanotechnology (ICECCN) Pub Date : 2013-03-25 DOI: 10.1109/ICE-CCN.2013.6528498

R. Kottaimalai, M. Rajasekaran, V. Selvam, B. Kannapiran

{"title":"EEG signal classification using Principal Component Analysis with Neural Network in Brain Computer Interface applications","authors":"R. Kottaimalai, M. Rajasekaran, V. Selvam, B. Kannapiran","doi":"10.1109/ICE-CCN.2013.6528498","DOIUrl":"https://doi.org/10.1109/ICE-CCN.2013.6528498","url":null,"abstract":"Brain Computer Interface (BCI) is the method of communicating the human brain with an external device. People who are incapable to communicate conventionally due to spinal cord injury are in need of Brain Computer Interface. Brain Computer Interface uses the brain signals to take actions, control, actuate and communicate with the world directly using brain integration with peripheral devices and systems. Brain waves are in necessitating to eradicate noises and to extract the valuable features. Artificial Neural Network (ANN) is a functional pattern classification technique which is trained all the way through the error Back-Propagation algorithm. In this paper in order to classify the mental tasks, the brain signals are trained using neural network and also using Principal Component Analysis with Artificial Neural Network. Principal Component Analysis (PCA) is a dominant tool for analyzing data and finding patterns in it. In Principal Component Analysis, data compression is possible and it projects higher dimensional data to lower dimensional data. By using Principal Component Analysis with Neural Network, the redundant data in the dataset is eliminated first and the obtained data is trained using Neural Network. EEG data for five cognitive tasks from five subjects are taken from the Colorado University database. Pattern classification is applied for the data of all tasks of one subject using Neural Network and also using Principal Component Analysis with Neural Network. Finally it is observed that the correctly classified percentage of data is better in Principal Component Analysis with Neural Network compared to Neural Network alone.","PeriodicalId":286830,"journal":{"name":"2013 IEEE International Conference ON Emerging Trends in Computing, Communication and Nanotechnology (ICECCN)","volume":"327 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-03-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121839587","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 80

VOIP and data storage in wireless GSM modem over MANET area 无线GSM调制解调器在MANET区域的VOIP和数据存储

2013 IEEE International Conference ON Emerging Trends in Computing, Communication and Nanotechnology (ICECCN) Pub Date : 2013-03-25 DOI: 10.1109/ICE-CCN.2013.6528595

P. Sachin, S. Tamrakar

引用次数: 3

Development of a relay test bench and an arbitrary waveform generator in RTAI-Linux platform 在RTAI-Linux平台上开发了继电器试验台和任意波形发生器

2013 IEEE International Conference ON Emerging Trends in Computing, Communication and Nanotechnology (ICECCN) Pub Date : 2013-03-25 DOI: 10.1109/ICE-CCN.2013.6528569

P. P. Hazarika, K. Shubhanga

{"title":"Development of a relay test bench and an arbitrary waveform generator in RTAI-Linux platform","authors":"P. P. Hazarika, K. Shubhanga","doi":"10.1109/ICE-CCN.2013.6528569","DOIUrl":"https://doi.org/10.1109/ICE-CCN.2013.6528569","url":null,"abstract":"This paper presents the development of a PC-based relay test bench and an arbitrary waveform generator using an open-source Real-Time Application Interface (RTAI) in Linux environment. Such a setup not only permits the generation of any arbitrary waveforms: steady-state signals as well as transients, but also simplifies the testing of various single-phase or three-phase static relays such as over-voltage relay, directional power relay, negative sequence relay as well as numerical impedance relays. The actuating signal is fed to the relay under test using a set-up that consists of a PCI card with a built-in Digital to Analog Converter and a feedback circuit for detecting the status of the relay. Using any off-line simulation package, sampled data points of a desired waveform are obtained in the form of a data-file. The RTAI-Linux program generates this waveform in real-time which is directly fed to the relay under test. The relay test bench presented in this paper is a cost-effective set-up for laboratories to test and understand the behavior and characteristics of relaying systems.","PeriodicalId":286830,"journal":{"name":"2013 IEEE International Conference ON Emerging Trends in Computing, Communication and Nanotechnology (ICECCN)","volume":"41 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-03-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126834097","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 4

Coverage life time improvement in Wireless Sensor Networks by novel deployment technique 利用新部署技术提高无线传感器网络的覆盖寿命

2013 IEEE International Conference ON Emerging Trends in Computing, Communication and Nanotechnology (ICECCN) Pub Date : 2013-03-25 DOI: 10.1109/ICE-CCN.2013.6528511

N. Gupta, M. Wazid, S. Sharma, D. P. Singh, R. Goudar

引用次数: 3

Certain studies on thresholding based defect detection algorithms for Magnetic Flux Leakage images 基于阈值法的漏磁图像缺陷检测算法研究

2013 IEEE International Conference ON Emerging Trends in Computing, Communication and Nanotechnology (ICECCN) Pub Date : 2013-03-25 DOI: 10.1109/ICE-CCN.2013.6528552

S. Janakiraman, J. Daniel, A. Abudhahir

{"title":"Certain studies on thresholding based defect detection algorithms for Magnetic Flux Leakage images","authors":"S. Janakiraman, J. Daniel, A. Abudhahir","doi":"10.1109/ICE-CCN.2013.6528552","DOIUrl":"https://doi.org/10.1109/ICE-CCN.2013.6528552","url":null,"abstract":"Automatic thresholding is an important technique in the image segmentation process. The basic idea of automatic thresholding is to automatically select an optimal gray-level threshold value for partitioning pixels in the images into object and background based on their gray-level distribution. In this work the performance evaluation of three image thresholding algorithms namely, Otsu's thresholding method, Hou's thresholding method and Kapur's entropy based thresholding method for Non-Destructive Testing (NDT) applications were performed. Otsu's method is considered as one of the best threshold selection approaches for general real world images. The Otsu's and Hou's methods only consider class variance sum, but neglect variance discrepancy between foreground (object) and background. If the object is clearly distinguishable from the background, the gray-level histogram will be bimodal and the threshold for segmentation can be chosen at the bottom of the valley. Methods other than valley-seeking are thus required to solve this problem. So, Kapur's Entropy based thresholding method is performed for NDT images. This method uses global and objective property of the histogram. The suitable thresholding method for Magnetic Flux Leakage (MFL) image is identified by comparing performance measures for the three thresholding methods.","PeriodicalId":286830,"journal":{"name":"2013 IEEE International Conference ON Emerging Trends in Computing, Communication and Nanotechnology (ICECCN)","volume":"2015 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-03-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132826084","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 2

Analysis of 3×5 planar array antenna with mutual coupling and optimization using PSO 3×5平面阵列天线互耦合分析及粒子群优化

2013 IEEE International Conference ON Emerging Trends in Computing, Communication and Nanotechnology (ICECCN) Pub Date : 2013-03-25 DOI: 10.1109/ICE-CCN.2013.6528479

A. B. Sahoo, H. Pradhan, S. K. Mohanty, B. B. Mangaraj

引用次数: 4

PEPPDA: Power efficient privacy preserving data aggregation for wireless sensor networks PEPPDA:无线传感器网络的高能效隐私保护数据聚合

2013 IEEE International Conference ON Emerging Trends in Computing, Communication and Nanotechnology (ICECCN) Pub Date : 2013-03-25 DOI: 10.1109/ICE-CCN.2013.6528518

J. Jose, M. Princy

{"title":"PEPPDA: Power efficient privacy preserving data aggregation for wireless sensor networks","authors":"J. Jose, M. Princy","doi":"10.1109/ICE-CCN.2013.6528518","DOIUrl":"https://doi.org/10.1109/ICE-CCN.2013.6528518","url":null,"abstract":"Energy efficient privacy preserving data aggregation is important in power constrained wireless sensor networks. Existing hop by hop encrypted privacy preserving data aggregation protocols does not provide efficient solutions for energy constrained and security required WSNs due to the overhead of performing power consuming decryption and encryption at the aggregator node for the data aggregation and the increased number of transmissions for achieving data privacy. The decryption of data at the aggregator node will increase the frequency of node compromise attack. Thereby aggregator node reveals large amounts of data to adversaries. The proposed privacy homomorphism based privacy preservation protocol achieves non delayed data aggregation by performing aggregation on encrypted data. Thereby decreases the node compromise attack frequency. So high chance to get accurate aggregated results at the sink with reduced communication and computation overhead. The PEPPDA technique is best suited for time critical, secure applications such as military application, since it achieves privacy, authenticity, accuracy, end to end confidentiality, data freshness and energy efficiency during data aggregation. Our main aim is to provide a secure data aggregation scheme which guarantees the privacy, authenticity and freshness of individual sensed data as well as the accuracy and confidentiality of the aggregated data without introducing a significant overhead on the battery limited sensors.","PeriodicalId":286830,"journal":{"name":"2013 IEEE International Conference ON Emerging Trends in Computing, Communication and Nanotechnology (ICECCN)","volume":"57 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-03-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128372675","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 22