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2013 IEEE 8th International Symposium on Intelligent Signal Processing最新文献

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Wireless brain signal recordings based on capacitive electrodes 基于电容电极的无线脑信号记录
2013 IEEE 8th International Symposium on Intelligent Signal Processing Pub Date : 2013-11-07 DOI: 10.1109/WISP.2013.6657474
M. K. Hazrati, Haliza Mat Husin, U. Hofmann
{"title":"Wireless brain signal recordings based on capacitive electrodes","authors":"M. K. Hazrati, Haliza Mat Husin, U. Hofmann","doi":"10.1109/WISP.2013.6657474","DOIUrl":"https://doi.org/10.1109/WISP.2013.6657474","url":null,"abstract":"In this paper the development of a wireless electroencephalogram (EEG) monitoring system is presented. The system is capable of processing brain signals on-board recorded from non-contact sensors. The non-contact sensor was designed utilizing capacitive coupling as recording interface. The on-board multi-channel signal processing is performed on a tiny computer module with low power consumption, high performance embedded computing platform that can communicate via WiFi or Bluetooth. It provides an excellent option for developing a compact Brain Computer Interface (BCI) with a direct connection to the external device e. g. robot or prosthesis without employing a personal computer (PC).","PeriodicalId":350883,"journal":{"name":"2013 IEEE 8th International Symposium on Intelligent Signal Processing","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-11-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127854220","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: 9
A kernel density estimation-maximum likelihood approach to risk analysis of portfolio 投资组合风险分析的核密度估计-极大似然方法
2013 IEEE 8th International Symposium on Intelligent Signal Processing Pub Date : 2013-11-07 DOI: 10.1109/WISP.2013.6657479
J. Watada
{"title":"A kernel density estimation-maximum likelihood approach to risk analysis of portfolio","authors":"J. Watada","doi":"10.1109/WISP.2013.6657479","DOIUrl":"https://doi.org/10.1109/WISP.2013.6657479","url":null,"abstract":"Nowadays one of the most studied issues in economic or finance field is to get the best possible return with the minimum risk. Therefore, the objective of the paper is to select the optimal investment portfolio from SP500 stock market and CBOE Interest Rate 10-Year Bond to obtain the minimum risk in the financial market. For this purpose, the paper consists of: 1) the marginal density distribution of the two financial assets is described with kernel density estimation to get the \"high-picky and fat-tail\" shape; 2) the relation structure of assets is studied with copula function to describe the correlation of financial assets in a nonlinear condition; 3) value at risk (VaR) is computed through the combination of Copula method and Monte Carlo simulation to measure the possible maximum loss better. Therefore, through the above three steps methodology, the risk of the portifolio is described more accuratIy than the conventional method, which always underestimates the risk in the finicial market. So it is necessary to pay attention to the happening of extreme cases like \"Black Friday 2008\" and appropriate investment allocation is a wise strategy to make diversification and spread risks in financial market.","PeriodicalId":350883,"journal":{"name":"2013 IEEE 8th International Symposium on Intelligent Signal Processing","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-11-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121191968","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
Moving person tracking by UWB radar system in complex environment 复杂环境下超宽带雷达系统对活动人员的跟踪
2013 IEEE 8th International Symposium on Intelligent Signal Processing Pub Date : 2013-11-07 DOI: 10.1109/WISP.2013.6657486
D. Kocur, D. Novak, J. Rovnáková
{"title":"Moving person tracking by UWB radar system in complex environment","authors":"D. Kocur, D. Novak, J. Rovnáková","doi":"10.1109/WISP.2013.6657486","DOIUrl":"https://doi.org/10.1109/WISP.2013.6657486","url":null,"abstract":"Ultra-wideband radar system allows detect, localize and track moving persons in critical situations and environments. Therefore, the issue of the short-range ultra-wideband radars dedicated to the support of the emergency event solving is really up-to-date. The publications devoted to the mention problem in last decade have dealt with the basic methods of ultra-wideband radar signal processing intent mostly on detection, localization and tracking of moving persons under simple scenarios. In this paper, we will deal with detection, localization and tracking of persons moving through an area where strong and large reflectors of electromagnetic waves are situated. We will show that this complex environment leads to so-called defective localization of target when the number of the targets and the target positions are wrongly estimated. In this paper, we will explain the origin of this effect and propose a new extended method of background subtraction capable to suppress markedly the impact of the mentioned reflectors on reliability and accuracy of a standard procedure of radar signal processing applied for detection, localization, and tracking of moving persons.","PeriodicalId":350883,"journal":{"name":"2013 IEEE 8th International Symposium on Intelligent Signal Processing","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-11-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121723172","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: 9
An all-digital Built-In Self-Test for Charge-Pump Phase-Locked Loops 电荷泵锁相环全数字内置自检
2013 IEEE 8th International Symposium on Intelligent Signal Processing Pub Date : 2013-11-07 DOI: 10.1109/WISP.2013.6657490
Lanhua Xia, Jianhui Wu, Meng Zhang
{"title":"An all-digital Built-In Self-Test for Charge-Pump Phase-Locked Loops","authors":"Lanhua Xia, Jianhui Wu, Meng Zhang","doi":"10.1109/WISP.2013.6657490","DOIUrl":"https://doi.org/10.1109/WISP.2013.6657490","url":null,"abstract":"Mixed-signal testing is becoming an important issue that affects both the time-to-market and product cost of many SoCs. This paper presents an effective Built-in Self-Test (BIST) method of Charge-Pump Phase-Locked Loops (CP-PLL) which is a mixed-signal circuit widely used in most of SoCs. This BIST will use the existing circuits units as test device in the test mode. It can be easily implemented with several logic gates combined with some delay units and the test output is purely digital. The simulation results show higher fault coverage and lower area overhead than that of previous test methods. Thus it provides an efficient structural test which is suitable for a production test.","PeriodicalId":350883,"journal":{"name":"2013 IEEE 8th International Symposium on Intelligent Signal Processing","volume":"42 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-11-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131220976","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: 5
Real-time allergy detection 实时过敏检测
2013 IEEE 8th International Symposium on Intelligent Signal Processing Pub Date : 2013-11-07 DOI: 10.1109/WISP.2013.6657476
Raquel Gutierrez Rivas, J. G. García Domínguez, W. Marnane, N. Twomey, Andrey Temko
{"title":"Real-time allergy detection","authors":"Raquel Gutierrez Rivas, J. G. García Domínguez, W. Marnane, N. Twomey, Andrey Temko","doi":"10.1109/WISP.2013.6657476","DOIUrl":"https://doi.org/10.1109/WISP.2013.6657476","url":null,"abstract":"In this paper, we tackle the problem of the food allergic detection in children, based on the analysis of the ECG signal. Through the detection of some changes of this signal, it is possible to detect any reaction before the tested subject experiments any physical reaction or any reaction that could be harmful to his/her life. To be able to realize this process in real-time and with portable devices, it is necessary to reduce the computational cost of the full process, from the ECG analysis to the allergy detection process.","PeriodicalId":350883,"journal":{"name":"2013 IEEE 8th International Symposium on Intelligent Signal Processing","volume":"62 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-11-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121447214","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
Performance comparison of ANN training algorithms for classification 人工神经网络分类训练算法性能比较
2013 IEEE 8th International Symposium on Intelligent Signal Processing Pub Date : 2013-11-07 DOI: 10.1109/WISP.2013.6657493
F. D. Baptista, Sandy Rodrigues, F. Morgado‐Dias
{"title":"Performance comparison of ANN training algorithms for classification","authors":"F. D. Baptista, Sandy Rodrigues, F. Morgado‐Dias","doi":"10.1109/WISP.2013.6657493","DOIUrl":"https://doi.org/10.1109/WISP.2013.6657493","url":null,"abstract":"The Artificial Neural Network research community has been actively working since the beginning of the 80s. Since then many existing algorithm were adapted, many new algorithms were created and many times the set of algorithms was revisited and reinvented. As a result an enormous set of algorithms exists and, even for the experienced user it is not easy to choose the best algorithm for a given task or dataset, even though many of the algorithms are available in implementations of existing tools. In this work we have chosen a set of algorithms which are tested with a few datasets and tested several times for different initial sets of weights and different numbers of hidden neurons while keeping one hidden layer for all the Feedforward Artificial Neural Networks.","PeriodicalId":350883,"journal":{"name":"2013 IEEE 8th International Symposium on Intelligent Signal Processing","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-11-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132589662","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: 20
Avatar navigation in Second Life using brain signals 在《第二人生》中使用大脑信号进行角色导航
2013 IEEE 8th International Symposium on Intelligent Signal Processing Pub Date : 2013-11-07 DOI: 10.1109/WISP.2013.6657473
M. K. Hazrati, U. Hofmann
{"title":"Avatar navigation in Second Life using brain signals","authors":"M. K. Hazrati, U. Hofmann","doi":"10.1109/WISP.2013.6657473","DOIUrl":"https://doi.org/10.1109/WISP.2013.6657473","url":null,"abstract":"This paper presents an interdisciplinary project conducted in a sophisticated approach to set up a connection between the human brain and a virtual world illustration. The main purpose of this research is to develop an interaction technique for entertainment and to investigate the virtual reality aspects for physical rehabilitation. Users could freely explore Second Life's virtual world and steer their avatar to the target point using their brain signals. The experiment was carried out on three subjects. The control can be accomplished by online processing of single-trial EEG signals recorded from EPOC headset, Emotiv, and passing the parameters to the main interface. An adaptive filter-based approach was used to reduce the eye blink distortions. Time-frequency features with combination of an ensemble LDA classifier led to a maximum 87.2% of accuracy.","PeriodicalId":350883,"journal":{"name":"2013 IEEE 8th International Symposium on Intelligent Signal Processing","volume":"385 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-11-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123092640","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
Adaptively undersampled image processing for fast multiline laser detection 快速多线激光检测的自适应欠采样图像处理
2013 IEEE 8th International Symposium on Intelligent Signal Processing Pub Date : 2013-11-07 DOI: 10.1109/WISP.2013.6657483
A. Molder, O. Martens, T. Saar, R. Land
{"title":"Adaptively undersampled image processing for fast multiline laser detection","authors":"A. Molder, O. Martens, T. Saar, R. Land","doi":"10.1109/WISP.2013.6657483","DOIUrl":"https://doi.org/10.1109/WISP.2013.6657483","url":null,"abstract":"In many image processing applications one of the main problem is how to create algorithms, which are fast enough to be implemented on embedded (with limited resources) computing platforms, like DM3730 processor based development boards (Beagleboard-XM). One such image processing area is related to laser scanners, which are usually implemented on multi-core high performance personal computers. In this paper an adaptively undersampled image processing method for fast multiline laser detection has been proposed. The combination of adaptive undersampling and multiline laser detection significantly reduces the calculation operations, needed for laser line detections, thus making this method highly suitable for limited embedded platforms. This method has been tested with real multiline laser images on pavement surface, on 4 different computing platforms and the results are presented at the end of the paper.","PeriodicalId":350883,"journal":{"name":"2013 IEEE 8th International Symposium on Intelligent Signal Processing","volume":"35 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-11-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123893805","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: 5
A simple algorithm for convex hull determination in high dimensions 一个简单的高维凸包确定算法
2013 IEEE 8th International Symposium on Intelligent Signal Processing Pub Date : 2013-11-07 DOI: 10.1109/WISP.2013.6657492
H. Khosravani, A. Ruano, P. Ferreira
{"title":"A simple algorithm for convex hull determination in high dimensions","authors":"H. Khosravani, A. Ruano, P. Ferreira","doi":"10.1109/WISP.2013.6657492","DOIUrl":"https://doi.org/10.1109/WISP.2013.6657492","url":null,"abstract":"Selecting suitable data for neural network training, out of a larger set, is an important task. For approximation problems, as the role of the model is a nonlinear interpolator, the training data should cover the whole range where the model must be used, i.e., the samples belonging to the convex hull of the data should belong to the training set. Convex hull is also widely applied in reducing training data for SVM classification. The determination of the samples in the convex-hull of a set of high dimensions, however, is a time-complex task. In this paper, a simple algorithm for this problem is proposed.","PeriodicalId":350883,"journal":{"name":"2013 IEEE 8th International Symposium on Intelligent Signal Processing","volume":"118 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-11-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123241609","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: 13
A software tool for intelligent CVA diagnosis by cerebral computerized tomography 脑计算机断层智能诊断CVA的软件工具
2013 IEEE 8th International Symposium on Intelligent Signal Processing Pub Date : 2013-11-07 DOI: 10.1109/WISP.2013.6657491
E. Hajimani, C. Ruano, M. Graca Ruano, A. Ruano
{"title":"A software tool for intelligent CVA diagnosis by cerebral computerized tomography","authors":"E. Hajimani, C. Ruano, M. Graca Ruano, A. Ruano","doi":"10.1109/WISP.2013.6657491","DOIUrl":"https://doi.org/10.1109/WISP.2013.6657491","url":null,"abstract":"The final goal of this work is to create an intelligent support system which assists neuroradiologists to identify Cerebral Vascular Accidents in less time, more precisely. For this purpose, the first step was the creation of a web based tool for registering pathological areas in CT images, which will allow to collect required data for training and testing our proposed classifier, a Radial Basis Function (RBF) based Neural Network.","PeriodicalId":350883,"journal":{"name":"2013 IEEE 8th International Symposium on Intelligent Signal Processing","volume":"50 10","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-11-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131789694","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
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