2013 International Conference on Emerging Trends in VLSI, Embedded System, Nano Electronics and Telecommunication System (ICEVENT)最新文献_第6页

An efficient SQRT architecture of Carry Select adder design by Common Boolean logic 基于通用布尔逻辑的进位选择加法器的高效SQRT结构设计

2013 International Conference on Emerging Trends in VLSI, Embedded System, Nano Electronics and Telecommunication System (ICEVENT) Pub Date : 2013-04-11 DOI: 10.1109/ICEVENT.2013.6496590

S. Manju, V. Sornagopal

引用次数: 88

A survey on energy efficient neural network based clustering models in wireless sensor networks 无线传感器网络中基于节能神经网络的聚类模型研究

2013 International Conference on Emerging Trends in VLSI, Embedded System, Nano Electronics and Telecommunication System (ICEVENT) Pub Date : 2013-04-11 DOI: 10.1109/ICEVENT.2013.6496545

C. Subha, S. Malarkan, K. Vaithinathan

{"title":"A survey on energy efficient neural network based clustering models in wireless sensor networks","authors":"C. Subha, S. Malarkan, K. Vaithinathan","doi":"10.1109/ICEVENT.2013.6496545","DOIUrl":"https://doi.org/10.1109/ICEVENT.2013.6496545","url":null,"abstract":"The performance of wireless sensor networks strongly depends on their network lifetime. As a result, Dynamic Power Management approaches with the purpose of reduction of energy consumption in sensor node, after deployment and designing of the network, have drawn attentions of many research studies. Recently, there have been a strong interest to use the intelligent tools especially neural networks in energy efficient approach of Wireless sensor networks, due to their simple parallel distributed computation, distributed storage, data robustness, auto-classification off sensor nodes and sensor reading. Dimensionality reduction and prediction of classification of sensor data obtained simply from the outputs of the neural-networks algorithms can lead to lower communication costs and energy conservation. All these characteristics are well considered in the neural network based algorithms such as ART, ART1, FUZZY ART, IVEBF and EBCS. These algorithms and their performance in improving the lifetime of the WSN are discussed in this paper.","PeriodicalId":6426,"journal":{"name":"2013 International Conference on Emerging Trends in VLSI, Embedded System, Nano Electronics and Telecommunication System (ICEVENT)","volume":"22 1","pages":"1-6"},"PeriodicalIF":0.0,"publicationDate":"2013-04-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"77678688","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: 17

Estimation of tropospheric time delay for Indian LAAS 印度LAAS对流层时延估计

2013 International Conference on Emerging Trends in VLSI, Embedded System, Nano Electronics and Telecommunication System (ICEVENT) Pub Date : 2013-04-11 DOI: 10.1109/ICEVENT.2013.6496529

Q. Sultana, A. D. Sarma, M. Q. Javeed

引用次数: 0

A novel cram of reconfigurable patch antenna using RF MEMS 一种基于射频MEMS的可重构贴片天线

2013 International Conference on Emerging Trends in VLSI, Embedded System, Nano Electronics and Telecommunication System (ICEVENT) Pub Date : 2013-04-11 DOI: 10.1109/ICEVENT.2013.6496562

C. Priya, D. Saraswathi, S. Baskar, V. Shailesh

引用次数: 2

Segmentation and location of abnormality in brain MR images using distributed estimation 基于分布式估计的脑磁共振图像异常分割与定位

2013 International Conference on Emerging Trends in VLSI, Embedded System, Nano Electronics and Telecommunication System (ICEVENT) Pub Date : 2013-04-11 DOI: 10.1109/ICEVENT.2013.6496568

A. Vithyavallipriya, B. Sankaragomathi, T. Ramakrishnan

引用次数: 0

Combined Seizure Index with Adaptive Multi-Class SVM for epileptic EEG classification 结合发作指数与自适应多类支持向量机的癫痫脑电分类

2013 International Conference on Emerging Trends in VLSI, Embedded System, Nano Electronics and Telecommunication System (ICEVENT) Pub Date : 2013-04-11 DOI: 10.1109/ICEVENT.2013.6496565

A. S. Muthanantha Murugavel, S. Ramakrishnan, U. Maheswari, B. S. Sabetha

{"title":"Combined Seizure Index with Adaptive Multi-Class SVM for epileptic EEG classification","authors":"A. S. Muthanantha Murugavel, S. Ramakrishnan, U. Maheswari, B. S. Sabetha","doi":"10.1109/ICEVENT.2013.6496565","DOIUrl":"https://doi.org/10.1109/ICEVENT.2013.6496565","url":null,"abstract":"In this paper, we have proposed a novel wavelet based CSI feature and a novel Adaptive Multi-Class Support Vector Machine (SVM) for the multi-class electroencephalogram (EEG) signals classification with the emphasis on epileptic seizure detection. The purpose was to determine an optimum classification scheme for this problem and also to infer clues about the extracted features. Wavelets have played an important role in biomedical signal processing for its ability to capture localized spatial-frequency information of EEG signal. CSI is used to develop a normalized index which state the maximum difference between the seizure and non-seizure states between the frequency range of 1-30Hz. The adaptive MSVM works well for high dimensional, multi-class data streams. Decision making was performed in two stages: feature extraction by computing the Combined Seizure Index and classification using the classifiers trained on the extracted features. We have compared the adaptive MSVM with the benchmark EEG dataset. Our experimental results show that the adaptive MSVM with wavelet based features which will represent the EEG signals and the classification methods trained on these features achieved high classification accuracies with better false rate and sensitivity.","PeriodicalId":6426,"journal":{"name":"2013 International Conference on Emerging Trends in VLSI, Embedded System, Nano Electronics and Telecommunication System (ICEVENT)","volume":"3 1","pages":"1-5"},"PeriodicalIF":0.0,"publicationDate":"2013-04-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"82326154","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: 12

Optimized architecture for Floating Point computation Unit 浮点计算单元的优化架构

2013 International Conference on Emerging Trends in VLSI, Embedded System, Nano Electronics and Telecommunication System (ICEVENT) Pub Date : 2013-04-11 DOI: 10.1109/ICEVENT.2013.6496587

Harish Anand Ti, D. Vaithiyanathan, R. Seshasayanan

{"title":"Optimized architecture for Floating Point computation Unit","authors":"Harish Anand Ti, D. Vaithiyanathan, R. Seshasayanan","doi":"10.1109/ICEVENT.2013.6496587","DOIUrl":"https://doi.org/10.1109/ICEVENT.2013.6496587","url":null,"abstract":"As floating point operations are complex, hence its implementation in Field Programmable Gate Array (FPGAs) consumes large amount of resources. FPGAs becomes inefficient if Floating Point Units (FPUs) are unutilized, to overcome this issue, a novel architecture is proposed in this paper for optimizing the floating point computation units in hybrid FPGAs in terms of achieving a better reduction in both area and power. The proposed architecture involves an algorithmic (logarithmic) approach for computing floating point numerical operations. It performs all the four basic arithmetic operations using simple hardware like adders, look up tables and interpolation steps. This methodology is used to evaluate a variety of FPU architecture optimizations. The model is being evaluated by comparing with the existing architectures like embedded FPUs and other FPU units in the FPGAs in terms of area, power, speed and high throughput. The simulation results of our model in cadence encounter tool shows the proposed architecture scales nearly 28 percent area and consumes 36 percent less power than existing FPUs. And also our method scales very well with an increase in required accuracy compared to the existing techniques.","PeriodicalId":6426,"journal":{"name":"2013 International Conference on Emerging Trends in VLSI, Embedded System, Nano Electronics and Telecommunication System (ICEVENT)","volume":"35 1","pages":"1-5"},"PeriodicalIF":0.0,"publicationDate":"2013-04-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"81288233","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: 7

Anodic alumina and titania MIM capacitors - an experimental comparative study 阳极氧化铝和二氧化钛MIM电容器的实验比较研究

2013 International Conference on Emerging Trends in VLSI, Embedded System, Nano Electronics and Telecommunication System (ICEVENT) Pub Date : 2013-04-11 DOI: 10.1109/ICEVENT.2013.6496586

D. Kannadassan, R. Karthik, P. Mallick, M. Baghini

引用次数: 0

Power efficient Vlsi architecture using Sps technique 采用Sps技术的高效功耗Vlsi架构

2013 International Conference on Emerging Trends in VLSI, Embedded System, Nano Electronics and Telecommunication System (ICEVENT) Pub Date : 2013-04-11 DOI: 10.1109/ICEVENT.2013.6496584

S. Ramakrishnan, G. Hemalatha, P. Mohan, R. Seshadri

引用次数: 1

Environment monitoring and device control using ARM based embedded controlled sensor network 基于ARM的嵌入式可控传感器网络环境监测与设备控制

2013 International Conference on Emerging Trends in VLSI, Embedded System, Nano Electronics and Telecommunication System (ICEVENT) Pub Date : 2013-04-11 DOI: 10.1109/ICEVENT.2013.6496548

V. Singh, I. Singh, S. K. Sud

引用次数: 9