2012 International Conference on Communications, Devices and Intelligent Systems (CODIS)最新文献_第2页

Segmentation of MRI brain images by incorporating intensity inhomogeneity and spatial information using probabilistic fuzzy c-means clustering algorithm 利用概率模糊c均值聚类算法结合强度非均匀性和空间信息对MRI脑图像进行分割

2012 International Conference on Communications, Devices and Intelligent Systems (CODIS) Pub Date : 2012-12-01 DOI: 10.1109/CODIS.2012.6422153

S. Adhikari, J. Sing, D. K. Basu, M. Nasipuri, P. Saha

{"title":"Segmentation of MRI brain images by incorporating intensity inhomogeneity and spatial information using probabilistic fuzzy c-means clustering algorithm","authors":"S. Adhikari, J. Sing, D. K. Basu, M. Nasipuri, P. Saha","doi":"10.1109/CODIS.2012.6422153","DOIUrl":"https://doi.org/10.1109/CODIS.2012.6422153","url":null,"abstract":"Segmentation of magnetic resonance imaging (MRI) brain images is an important task to analyze tissue structures of a human brain. Due to improper image acquisition systems, MRI images are generally corrupted by intensity inhomogeneity (IIH) or intensity nonuniformity (INU). Conventional methods try to segment MRI images using only spatial information about the distribution of pixel intensities and are highly sensitive to noise and the IIH or INU. This paper presents a method to segment MRI brain images by considering the INU and spatial information using fuzzy C-means (FCM) clustering algorithm. Firstly, the INU of MRI brain image is corrected using fusion of Gaussian surfaces. The individual Gaussian surface is estimated independently over the different homogeneous regions by considering its center as the center of mass of the respective homogeneous region. Secondly, the IIH corrected image is segmented using probabilistic FCM algorithm, which considers spatial features of image pixels. The experiments using 3D synthetic phantoms and real-patient MRI brain images reveal that the proposed method performs satisfactorily.","PeriodicalId":274831,"journal":{"name":"2012 International Conference on Communications, Devices and Intelligent Systems (CODIS)","volume":"82 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130666117","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

Modeling the channel potential and threshold voltage of a fully depleted Double Gate Junctionless FET 模拟全耗尽双栅无结场效应管的通道电位和阈值电压

2012 International Conference on Communications, Devices and Intelligent Systems (CODIS) Pub Date : 2012-12-01 DOI: 10.1109/CODIS.2012.6422158

P. Gupta, D. Burman, J. Das, M. Brahma, H. Rahaman, P. Dasgupta

引用次数: 1

Preliminary studies on performance of a 2.45 GHz wearable antenna in the vicinity of human body 2.45 GHz可穿戴天线在人体附近的性能初步研究

2012 International Conference on Communications, Devices and Intelligent Systems (CODIS) Pub Date : 2012-12-01 DOI: 10.1109/CODIS.2012.6422185

S. Sankaralingam, S. Dhar, B. Gupta

引用次数: 10

Text line extraction from handwritten document pages using spiral run length smearing algorithm 使用螺旋运行长度涂抹算法从手写文档页面中提取文本行

2012 International Conference on Communications, Devices and Intelligent Systems (CODIS) Pub Date : 2012-12-01 DOI: 10.1109/CODIS.2012.6422278

Samir Malakar, S. Halder, R. Sarkar, N. Das, S. Basu, M. Nasipuri

引用次数: 32

GA Application to Optimization of AGC in Two-Area Power System Using Battery Energy Storage 遗传算法在电池储能两区电力系统AGC优化中的应用

2012 International Conference on Communications, Devices and Intelligent Systems (CODIS) Pub Date : 2012-12-01 DOI: 10.1109/CODIS.2012.6422208

S. Biswas, P. Bera

引用次数: 14

High gain compact rectangular microstrip patch antenna using substrate integrated artificial 高增益紧凑型矩形微带贴片天线采用人工基片集成

2012 International Conference on Communications, Devices and Intelligent Systems (CODIS) Pub Date : 2012-12-01 DOI: 10.1109/CODIS.2012.6422178

A. Ghosh, B. K. Sarkar, A. De

引用次数: 5

High performance SOI lateral trench dual gate power MOSFET 高性能SOI侧沟双栅功率MOSFET

2012 International Conference on Communications, Devices and Intelligent Systems (CODIS) Pub Date : 2012-12-01 DOI: 10.1109/CODIS.2012.6422155

Y. Singh, M. Punetha

引用次数: 1

Feature analysis for the reversible watermarked electrooculography signal using Low distortion Prediction-error Expansion 基于低失真预测误差扩展的可逆水印眼电信号特征分析

2012 International Conference on Communications, Devices and Intelligent Systems (CODIS) Pub Date : 2012-12-01 DOI: 10.1109/CODIS.2012.6422280

N. Dey, S. Biswas, P. Das, A. Das, S. S. Chaudhuri

{"title":"Feature analysis for the reversible watermarked electrooculography signal using Low distortion Prediction-error Expansion","authors":"N. Dey, S. Biswas, P. Das, A. Das, S. S. Chaudhuri","doi":"10.1109/CODIS.2012.6422280","DOIUrl":"https://doi.org/10.1109/CODIS.2012.6422280","url":null,"abstract":"At present, most of the hospitals and diagnostic centers globally, have started using wireless media for exchange of biomedical information (Electronic Patient Report or hospital logo) for mutual availability of therapeutic case studies. Exchange of information amongst various hospital and medical centers require high level of reliability and security. Signal integrity can be verified, authenticity and achieved control over the copy process can be proved by adding watermark in the original information as multimedia content. Electrooculography (EOG) is a medical test that records the movements and position of the eyes. In this present work, Low distortion Prediction-error Expansion technique is used for watermark insertion and extraction in an EOG signal without devalorizing its diagnostic parameters. It can be seen that in this approach the correlation value of the original watermark and the extracted watermark is quite high. The Signal-to-Noise ratio (SNR) between the original EOG signal and the recovered EOG signal markedly improves which claims the robustness of the method. In the second part of the present work different features of the original EOG signal, watermarked EOG signal and recovered EOG signal are analysed.","PeriodicalId":274831,"journal":{"name":"2012 International Conference on Communications, Devices and Intelligent Systems (CODIS)","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131989460","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: 26

An algorithm facilitating fast BCD division on low end processors using Ancient Indian Vedic Mathematics Sutras 一种利用古印度吠陀数学经典在低端处理器上实现快速BCD除法的算法

2012 International Conference on Communications, Devices and Intelligent Systems (CODIS) Pub Date : 2012-12-01 DOI: 10.1109/CODIS.2012.6422216

D. Sengupta, M. Sultana, A. Chaudhuri

{"title":"An algorithm facilitating fast BCD division on low end processors using Ancient Indian Vedic Mathematics Sutras","authors":"D. Sengupta, M. Sultana, A. Chaudhuri","doi":"10.1109/CODIS.2012.6422216","DOIUrl":"https://doi.org/10.1109/CODIS.2012.6422216","url":null,"abstract":"The last decade or two has witnessed a rapid evolution of the technological world with the introduction of fast processors loaded with higher amount of cache memories. Accordingly, the system architecture demanded better development to suit the rising demand for the technological advancements. Miniaturizations of components and VLSI integration have given rise to bulk advanced memory chips being grafted on even smaller amount of space thus giving access to higher amount of physical memory within exhaust limits of average applications. But the low end processors having limited memory still crave for fast applications, which are slowly going out of bounds for these devices due to the space and time complexity. The four elementary operations - addition, subtraction, multiplication and division form the basis for any type of application. Out of the four, the latter one, namely division, is a highly expensive and time consuming operation. This paper proposes a fast division algorithm based on Ancient Indian Vedic Mathematics Sutras for low end processors having limited memory. The novelty of the algorithm is that it requires a very small amount of memory for execution but performs the division mechanism much faster than the conventional division algorithms in literature, and is equally suitable for high end processors also. The algorithm has been tested on conventional mid range desktop processors and has furnished results with numbers having number of bits greater than 50 (15 digit numbers), the upper ceiling of computable numbers for conventional algorithms. It has been observed that the Vedic Division Algorithm can divide numbers having up to 38 digits (127 bits) in the present form, if modified it can divide even bigger numbers.","PeriodicalId":274831,"journal":{"name":"2012 International Conference on Communications, Devices and Intelligent Systems (CODIS)","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132030758","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: 8

Multiple feature extraction for RNN-based Assamese speech recognition for speech to text conversion application 基于rnn的阿萨姆语语音识别多特征提取，用于语音到文本的转换

2012 International Conference on Communications, Devices and Intelligent Systems (CODIS) Pub Date : 2012-12-01 DOI: 10.1109/CODIS.2012.6422274

K. Dutta, K. K. Sarma

引用次数: 18