2009 IEEE Symposium on Industrial Electronics & Applications最新文献_第9页

Cross-layer optimization for multi-class VSG CDMA in Rayleigh fading 瑞利衰落下多类VSG CDMA的跨层优化

2009 IEEE Symposium on Industrial Electronics & Applications Pub Date : 2009-12-18 DOI: 10.1109/ISIEA.2009.5356490

P. Sedtheetorn

引用次数: 1

Studies on safe-commutation switching sequence for controlled rectifier operation of Single-Phase Matrix Converter 单相矩阵变换器可控整流安全换相开关顺序的研究

2009 IEEE Symposium on Industrial Electronics & Applications Pub Date : 2009-12-18 DOI: 10.1109/ISIEA.2009.5356483

R. Baharom, M. K. Hamzah, M. Seroji, M. K. Mohd Salleh

引用次数: 2

Development of a transduction circuit for piezoresistive MEMS sensor for biosensing 生物传感用压阻式MEMS传感器转导电路的研制

2009 IEEE Symposium on Industrial Electronics & Applications Pub Date : 2009-12-18 DOI: 10.1109/ISIEA.2009.5356373

M. F. Abdullah, L. Khuan, N. K. Madzhi, M. Masrie, A. Ahmad

{"title":"Development of a transduction circuit for piezoresistive MEMS sensor for biosensing","authors":"M. F. Abdullah, L. Khuan, N. K. Madzhi, M. Masrie, A. Ahmad","doi":"10.1109/ISIEA.2009.5356373","DOIUrl":"https://doi.org/10.1109/ISIEA.2009.5356373","url":null,"abstract":"This paper concerns the development of a potentiometric transduction circuit for a piezoresistive MEMS sensor to detect human stress. The biosensor is comprised of a bioreceptor and a transducer. The sensing principle is based on immobilization of the bioreceptor to produce a biochemical reaction. The novel piezoresistive microcantilever sensor integrated with a transduction circuit converts this biochemical event into a measurable electrical signal. From previous work, it has been found that the level of alpha amylase activity corresponds to human stress. The piezoresistive MEMS sensing and transduction method are described, with enzyme concentration as the input and voltage as the output. The transduction circuit designed enables the small change in resistivity due to the enzymatic reaction to be detected. The circuit has been designed and tested through theoretical, simulation and experimental studies. It has been found that for a sensor input range of 1.2 to 1.3 kilo ohms, an output range of −100 to +100 millivolts is obtained. A discrepancy within 3.69% is found between simulation and experimental results, on the average. The null bridge condition is designed at 1.2 kilo ohms while the offset rate is found to be 10 millivolts per ohm.","PeriodicalId":6447,"journal":{"name":"2009 IEEE Symposium on Industrial Electronics & Applications","volume":"15 2 1","pages":"679-683"},"PeriodicalIF":0.0,"publicationDate":"2009-12-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85043815","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: 11

A design of embedded dmx512 controller using FPGA and XILKernel

2009 IEEE Symposium on Industrial Electronics & Applications Pub Date : 2009-12-18 DOI: 10.1109/ISIEA.2009.5356505

Sarat Yoowattana, C. Nantajiwakornchai, M. Sangworasil

引用次数: 9

The research into an improved algorithm of telecommunication inter-transactional association rules based on time series of all confidence 研究了一种基于全置信度时间序列的电信事务间关联规则改进算法

2009 IEEE Symposium on Industrial Electronics & Applications Pub Date : 2009-12-18 DOI: 10.1109/ISIEA.2009.5356464

Wenchuan Yang, Chao Dong, Jie Cheng, Fang Fang

引用次数: 2

Smart Wheelchair design and monitoring via wired and wireless networks 智能轮椅的设计和监控通过有线和无线网络

2009 IEEE Symposium on Industrial Electronics & Applications Pub Date : 2009-12-18 DOI: 10.1109/ISIEA.2009.5356324

Y. Touati, A. Ali-Chérif, B. Achili

引用次数: 15

Blind speech separation using OPCA method 基于OPCA方法的盲语音分离

2009 IEEE Symposium on Industrial Electronics & Applications Pub Date : 2009-12-18 DOI: 10.1109/ISIEA.2009.5356353

Y. Benabderrahmane, D. O'Shaughnessy, S. Selouani

{"title":"Blind speech separation using OPCA method","authors":"Y. Benabderrahmane, D. O'Shaughnessy, S. Selouani","doi":"10.1109/ISIEA.2009.5356353","DOIUrl":"https://doi.org/10.1109/ISIEA.2009.5356353","url":null,"abstract":"During recent decades, much attention has been given to the separation of mixed sources, in particular for the blind case where both the sources and the mixing process are unknown and only recordings of the mixtures are available. In several situations it is desirable to recover all sources from the recorded mixtures, or at least to segregate a particular source. Furthermore, it may be useful to identify the mixing process itself to reveal information about the physical mixing system. This paper deals with blind speech separation of instantaneous mixtures of two noisy speech signals. The separation criterion is based on Oriented Principal Components Analysis (OPCA) method. OPCA is a (second order) extension of standard Principal Component Analysis (PCA) aiming at maximizing the power ratio of a pair of signals. It is shown that OPCA, preceded by almost arbitrary temporal filtering, can be used for blindly separating temporally signals from their linear instantaneous mixtures. The advantage over other second order techniques is the lack of the pre-whitening (or sphering) step. OPCA models proposed earlier are used in simulations to separate a number of artificial sources demonstrating the validity of the method [1].","PeriodicalId":6447,"journal":{"name":"2009 IEEE Symposium on Industrial Electronics & Applications","volume":"1 1","pages":"743-747"},"PeriodicalIF":0.0,"publicationDate":"2009-12-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"76186801","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: 1

Performing high level tasks with a sole microcontroller-based mobile robot - issues, algorithms and experiments 基于微控制器的移动机器人执行高级任务-问题，算法和实验

2009 IEEE Symposium on Industrial Electronics & Applications Pub Date : 2009-12-18 DOI: 10.1109/ISIEA.2009.5356394

N. K, L. Vachhani, Rajarao M.V., S. K.

引用次数: 0

Performance analysis of detection schemes in MIMO spatially correlated channels MIMO空间相关信道中检测方案的性能分析

2009 IEEE Symposium on Industrial Electronics & Applications Pub Date : 2009-12-18 DOI: 10.1109/ISIEA.2009.5356303

A. A. Khan, S. Irteza, Farhan Khawar, Momin Shahab, S. I. Shah

引用次数: 0

Application of artificial neural network in detection of probing attacks 人工神经网络在探测攻击检测中的应用

2009 IEEE Symposium on Industrial Electronics & Applications Pub Date : 2009-12-18 DOI: 10.1109/ISIEA.2009.5356382

I. Ahmad, A. Abdullah, Abdullah S Alghamdi

{"title":"Application of artificial neural network in detection of probing attacks","authors":"I. Ahmad, A. Abdullah, Abdullah S Alghamdi","doi":"10.1109/ISIEA.2009.5356382","DOIUrl":"https://doi.org/10.1109/ISIEA.2009.5356382","url":null,"abstract":"The prevention of any type of cyber attack is indispensable because a single attack may break the security of computer and network systems. The hindrance of such attacks is entirely dependent on their detection. The detection is a major part of any security tool such as Intrusion Detection System (IDS), Intrusion Prevention System (IPS), Adaptive Security Alliance (ASA), check points and firewalls. Consequently, in this paper, we are contemplating the feasibility of an approach to probing attacks that are the basis of others attacks in computer network systems. Our approach adopts a supervised neural network phenomenon that is majorly used for detecting security attacks. The proposed system takes into account Multiple Layered Perceptron (MLP) architecture and resilient backpropagation for its training and testing. The system uses sampled data from Kddcup99 dataset, an attack database that is a standard for evaluating the security detection mechanisms. The developed system is applied to different probing attacks. Furthermore, its performance is compared to other neural networks' approaches and the results indicate that our approach is more precise and accurate in case of false positive, false negative and detection rate.","PeriodicalId":6447,"journal":{"name":"2009 IEEE Symposium on Industrial Electronics & Applications","volume":"108 1","pages":"557-562"},"PeriodicalIF":0.0,"publicationDate":"2009-12-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"81599139","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: 57