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2007 IEEE International Symposium on Intelligent Signal Processing最新文献

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A Concept for an Operational Management System for Industrial Purposes 工业用操作管理系统的概念
2007 IEEE International Symposium on Intelligent Signal Processing Pub Date : 2007-10-01 DOI: 10.1109/WISP.2007.4447549
J. Figueiredo, J.M.G. da Costa
{"title":"A Concept for an Operational Management System for Industrial Purposes","authors":"J. Figueiredo, J.M.G. da Costa","doi":"10.1109/WISP.2007.4447549","DOIUrl":"https://doi.org/10.1109/WISP.2007.4447549","url":null,"abstract":"Today manufacturing is highly decentralized from the company headquarters to local Production sites, taking advantages from local resources such as labor costs, raw materials, infrastructures, etc. Additionally it is common to build large scale infrastructures in order to take advantage from economic scale factors. Huge factories imply great number of production lines that are distributed along big surfaces. This decentralized environment increases the need for complex management tools that enable a complete on-line overview about the system state. This paper presents a concept for an industrial operational management tool that incorporates low-level communications between processes - PLCs (Programmable Logic Controllers) and remote communication between system administrator and production processes, via internet, GSM mobile communications, etc. This concept is a two layer management architecture where inner loops are performed by low level PLC Master-Slave networks and the outer loop is performed by a SCADA system (Supervisory Control And Data Acquisition).","PeriodicalId":164902,"journal":{"name":"2007 IEEE International Symposium on Intelligent Signal Processing","volume":"146 5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125864887","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: 10
New Techniques and Technologies for Information Retrieval and Knowledge Extraction from Nuclear Fusion Massive Databases 核聚变海量数据库信息检索与知识提取新技术
2007 IEEE International Symposium on Intelligent Signal Processing Pub Date : 2007-10-01 DOI: 10.1109/WISP.2007.4447548
A. Murari, J. Vega, J. Alonso, E. De LaLuna, J. Farthing, C. Hidalgo, G. Rattá, J. Svensson, G. Vagliasindi
{"title":"New Techniques and Technologies for Information Retrieval and Knowledge Extraction from Nuclear Fusion Massive Databases","authors":"A. Murari, J. Vega, J. Alonso, E. De LaLuna, J. Farthing, C. Hidalgo, G. Rattá, J. Svensson, G. Vagliasindi","doi":"10.1109/WISP.2007.4447548","DOIUrl":"https://doi.org/10.1109/WISP.2007.4447548","url":null,"abstract":"Reactor relevant experiments for Magnetic Confinement Fusion, like JET, produce already tens of GBytes of data per shot and the next step device, ITER, is expected to require orders of magnitude more. Managing such vast quantities of data in an efficient way needs new techniques, ranging from signal storage and information retrieval to data analysis for physical interpretation. At JET significant efforts are being devoted to all the main issues. Lossless data compression is under development for both mono and bi-dimensional signals, together with new techniques and technologies for image processing (directional wavelets and Cellular Non-linear Networks). Structural pattern recognition has shown great potential for information retrieval. Statistical methods, like Bayesian inference and regression trees, are being systematically investigated, to extract the required knowledge from all the available measurements. Other Soft Computing techniques, like Fuzzy Logic and Artificial Neural Networks, are very powerful tools to handle the great complexity and uncertainties of present day and near future experiments.","PeriodicalId":164902,"journal":{"name":"2007 IEEE International Symposium on Intelligent Signal Processing","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122362200","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
Pedestrian Tracking and Navigation Using Neural Networks and Fuzzy Logic 基于神经网络和模糊逻辑的行人跟踪与导航
2007 IEEE International Symposium on Intelligent Signal Processing Pub Date : 2007-10-01 DOI: 10.1109/WISP.2007.4447525
C. Toth, D. Grejner-Brzezinska, S. Moafipoor
{"title":"Pedestrian Tracking and Navigation Using Neural Networks and Fuzzy Logic","authors":"C. Toth, D. Grejner-Brzezinska, S. Moafipoor","doi":"10.1109/WISP.2007.4447525","DOIUrl":"https://doi.org/10.1109/WISP.2007.4447525","url":null,"abstract":"The main goal of the research presented here is to develop theoretical foundations and implementation algorithms, which integrate GPS, micro-electro-mechanical inertial measurement unit (MEMS IMU), digital barometer, electronic compass, and human pedometry to provide navigation and tracking of military and rescue ground personnel. This paper discusses the design, implementation and the initial performance analyses of the personal navigator prototype1, with a special emphasis on dead-reckoning (DR) navigation supported by the human locomotion model. To facilitate this functionality, the adaptive knowledge system, based on the Artificial Neural Networks (ANN) and Fuzzy Logic, is trained during the GPS signal reception and used to maintain navigation under GPS-denied conditions. The human locomotion parameters, step frequency (SF) and step length (SL) are estimated during the system calibration period, then the predicted SL, together with the heading information from the compass and gyro, support DR navigation. The current target accuracy of the system is 3-5 m CEP (circular error probable) 50%.","PeriodicalId":164902,"journal":{"name":"2007 IEEE International Symposium on Intelligent Signal Processing","volume":"80 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122396140","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: 41
Fault detection of eccentricity by means of joint time-frequency analysis in PMSM under dynamic conditions 基于时频联合分析的永磁同步电机偏心故障检测
2007 IEEE International Symposium on Intelligent Signal Processing Pub Date : 2007-10-01 DOI: 10.1109/WISP.2007.4447494
J. Rosero, J. Cusidó, A. García, L. Romeral, J. Ortega
{"title":"Fault detection of eccentricity by means of joint time-frequency analysis in PMSM under dynamic conditions","authors":"J. Rosero, J. Cusidó, A. García, L. Romeral, J. Ortega","doi":"10.1109/WISP.2007.4447494","DOIUrl":"https://doi.org/10.1109/WISP.2007.4447494","url":null,"abstract":"This paper presents a study of eccentricity fault detection in permanent magnet synchronous machines (PMSM), under dynamic conditions. The fault simulation was made by means of two-dimensional (2-D) finite element analysis (FEA). Joint time - frequency transforms, as Wigner Ville distribution (WVD) and Zao-Atlas-Marks distribution, were proposed for signal analysis. Simulations carried out were compared with experimental results.","PeriodicalId":164902,"journal":{"name":"2007 IEEE International Symposium on Intelligent Signal Processing","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125546446","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: 3
Artificial Neural Networks for Real-time Diagnostic of High-Z Impurities in Reactor-relevant Plasmas 反应堆相关等离子体中高z杂质实时诊断的人工神经网络
2007 IEEE International Symposium on Intelligent Signal Processing Pub Date : 2007-10-01 DOI: 10.1109/WISP.2007.4447609
O. Barana, A. Murari, I. Coffey
{"title":"Artificial Neural Networks for Real-time Diagnostic of High-Z Impurities in Reactor-relevant Plasmas","authors":"O. Barana, A. Murari, I. Coffey","doi":"10.1109/WISP.2007.4447609","DOIUrl":"https://doi.org/10.1109/WISP.2007.4447609","url":null,"abstract":"The operation of JET with a new wall, made of beryllium in the main chamber and a tungsten divertor, will require additional care in handling plasma-wall interactions, since these new materials are certainly much less forgiving than the present ones. In particular, detecting tungsten will be extremely important not only for safety but also to understand the behaviour of high-Z impurities in reactor-relevant plasmas. In this paper Artificial Neural Networks are investigated to face the problem of real-time detection of high-Z impurities in plasma scenarios of ITER relevance. The data were collected with JET spectroscopy in a series of experiments, where laser blow-off was used to inject the various impurities. A wide range of plasma parameters was explored to cover the most important regions of the spectra. The good results obtained in recognizing the most important lines of the relevant materials prove that Artificial Neural Networks are strong candidates for real-time monitoring of the impurities both for protection purposes and for investigation of first-wall erosion.","PeriodicalId":164902,"journal":{"name":"2007 IEEE International Symposium on Intelligent Signal Processing","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130491588","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
Exploring Matrix Factorization Techniques for Classification of Gene Expression Profiles 探索基因表达谱分类的矩阵分解技术
2007 IEEE International Symposium on Intelligent Signal Processing Pub Date : 2007-10-01 DOI: 10.1109/WISP.2007.4447571
R. Schachtner, D. Lutter, A. Tomé, E. Lang, P. G. Vilda
{"title":"Exploring Matrix Factorization Techniques for Classification of Gene Expression Profiles","authors":"R. Schachtner, D. Lutter, A. Tomé, E. Lang, P. G. Vilda","doi":"10.1109/WISP.2007.4447571","DOIUrl":"https://doi.org/10.1109/WISP.2007.4447571","url":null,"abstract":"In this study we focus on diagnostic classification tasks and the extraction of related marker genes from gene expression profiles. We apply ICA and sparse NMF to various microarray data sets. The latter monitor the gene expression levels of either human breast cancer (HBC) cell lines [1] or the famous leucemia data set [2] under various environmental conditions. We show that these matrix decomposition techniques are able to identify relevant signatures in the deduced matrices and extract marker genes from these gene expression profiles. With these marker genes corresponding test data sets can be classified into related diagnostic categories.","PeriodicalId":164902,"journal":{"name":"2007 IEEE International Symposium on Intelligent Signal Processing","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129573187","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: 3
Bidomain Sample Entropy to Predict Termination of Atrial Arrhythmias 双域样本熵预测心房心律失常终止
2007 IEEE International Symposium on Intelligent Signal Processing Pub Date : 2007-10-01 DOI: 10.1109/WISP.2007.4447600
R. Alcaraz, J. J. Rieta
{"title":"Bidomain Sample Entropy to Predict Termination of Atrial Arrhythmias","authors":"R. Alcaraz, J. J. Rieta","doi":"10.1109/WISP.2007.4447600","DOIUrl":"https://doi.org/10.1109/WISP.2007.4447600","url":null,"abstract":"Atrial fibrillation (AF) is the most common cardiac arrhythmia. Therefore, the ability to predict if an AF episode terminates spontaneously or not is a challenging clinical problem. This work presents a robust AF prediction methodology carried out by estimating by applied sample entropy (SampEn) the atrial activity (AA) organization increase prior to AF termination. This regularity variation appears as a consequence of the decrease in the number of reentries into the atrial tissue. AA was obtained from surface ECG recordings using an average QRST template cancellation technique. Wavelet transform (WT) was used in a bidomain way (time and frequency) in order to improve organization estimation. Thereafter, a more robust and reliable classification process for terminating and non-terminating AF episodes was developed making use of two different wavefet decomposition strategies. Finally, the atrial activity organization both in time and wavelet domains (bidomain) was estimated. Trougth the application of this strategy 96% of the terminating and non-terminating analyzed AF episodes were correctly classified.","PeriodicalId":164902,"journal":{"name":"2007 IEEE International Symposium on Intelligent Signal Processing","volume":"53 3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123345639","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
A Multi-layer neural network and an adaptive linear combiner for on-line harmonic tracking 基于多层神经网络和自适应线性组合器的在线谐波跟踪
2007 IEEE International Symposium on Intelligent Signal Processing Pub Date : 2007-10-01 DOI: 10.1109/WISP.2007.4447612
A. Zouidi, F. Fnaiech, K. Al-haddad
{"title":"A Multi-layer neural network and an adaptive linear combiner for on-line harmonic tracking","authors":"A. Zouidi, F. Fnaiech, K. Al-haddad","doi":"10.1109/WISP.2007.4447612","DOIUrl":"https://doi.org/10.1109/WISP.2007.4447612","url":null,"abstract":"Intelligent techniques of harmonic detection or estimation are nowadays of a great interest in power system applications, their ability to deal with high non-linearities attract researchers to investigate the performance of these methods mainly based on artificial intelligence namely using artificial neural networks. In the literature many harmonic detection or estimation methods were presented, in this paper we focus on a new idea to apply an adaptive linear neuron (ADALINE) and a multi-layer artificial neural net work (M-LANN) to estimate the fundamental component and the total harmonic content of a distorted signal.","PeriodicalId":164902,"journal":{"name":"2007 IEEE International Symposium on Intelligent Signal Processing","volume":"81 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115441178","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: 3
Feature Selection for the Stochastic Integrate and Fire Model 随机积分与火焰模型的特征选择
2007 IEEE International Symposium on Intelligent Signal Processing Pub Date : 2007-10-01 DOI: 10.1109/WISP.2007.4447639
P. Tomás, L. Sousa
{"title":"Feature Selection for the Stochastic Integrate and Fire Model","authors":"P. Tomás, L. Sousa","doi":"10.1109/WISP.2007.4447639","DOIUrl":"https://doi.org/10.1109/WISP.2007.4447639","url":null,"abstract":"This paper presents a novel training method for estimating the parameters of integrate and fire retina models. The presented model is described by a set of linear and nonlinear filters, described by basis functions and Taylor polynomials, respectively. This allows for the identification of a set of features which can be used for reproducing retina responses. A Bayesian-Laplace feature selection is proposed to choose which features can be eliminated. Thus, we are able to achieve a model using a reduced set of parameters. Experimental results show that the proposed algorithm is able to remove non-important features while still accurately reproducing retina responses.","PeriodicalId":164902,"journal":{"name":"2007 IEEE International Symposium on Intelligent Signal Processing","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115474934","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
A novel DFT-based approach for the estimation of the number of sinusoids 一种新的基于dft的正弦波数估计方法
2007 IEEE International Symposium on Intelligent Signal Processing Pub Date : 2007-10-01 DOI: 10.1109/WISP.2007.4447563
R. De Martino, C. Liguori, V. Paciello, A. Paolillo
{"title":"A novel DFT-based approach for the estimation of the number of sinusoids","authors":"R. De Martino, C. Liguori, V. Paciello, A. Paolillo","doi":"10.1109/WISP.2007.4447563","DOIUrl":"https://doi.org/10.1109/WISP.2007.4447563","url":null,"abstract":"This paper proposes a method for the estimation of the number of sinusoidal components in a deterministic signal, based on an adaptive thresholding of the DFT The proposed method is described and compared with two common approaches present in literature, the Akaike information criterion (AIC) and the minimum description length (MDL). The proposal is also applied in the stage of the spectral estimation algorithm called IFFTc in order to detect hidden spectral components. The comparison is carried out for different signals and in terms of percentage of missed detections, percentage of false detections and elaboration times.","PeriodicalId":164902,"journal":{"name":"2007 IEEE International Symposium on Intelligent Signal Processing","volume":"6 3","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132655002","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
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