检索结果-内蒙古大学图书馆

2003 ACM/IEEE Conference on Supercomputing, SC 2003

作者： Akçelik, Vokan Bielak, Jacobo Biros, George Epanomeritakis, Ioannis Fernández, Antonio Ghattas, Omar Kim, Eui Joong López, Julio O'Hallaron, David Tu, Tiankai Urbanic, John Mechanics Algorithms and Computing Laboratory Department of Civil and Environmental Engineering Carnegie Mellon University Pittsburgh PA 15213 United States Courant Institute for Mathematical Sciences New York University New York NY 10012 United States Mechanics Algorithms and Computing Laboratory Departments of Biomedical Engineering and Civil and Environmental Engineering Carnegie Mellon University Pittsburgh PA 15213 United States Electrical and Computer Engineering Department Carnegie Mellon University Pittsburgh PA 15213 United States Computer Science Department Electrical and Computer Engineering Department Carnegie Mellon University Pittsburgh PA 15213 United States Computer Science Department Carnegie Mellon University Pittsburgh PA 15213 United States Pittsburgh Supercomputing Center Pittsburgh PA 15213 United States

ISBN: (纸本)1581136951

For earthquake simulations to play an important role in the reduction of seismic risk, they must be capable of high resolution and high fidelity. We have developed algorithms and tools for earthquake simulation based on multiresolution hexahedral meshes. We have used this capability to carry out 1 Hz simulations of the 1994 Northridge earthquake in the LA Basin using 100 million grid points. Our wave propagation solver sustains 1.21 teraflop/s for 4 hours on 3000 AlphaServer processors at 80% parallel efficiency. Because of uncertainties in characterizing earthquake source and basin material properties, a critical remaining challenge is to invert for source and material parameter fields for complex 3D basins from records of past earthquakes. Towards this end, we present results for material and source inversion of high-resolution models of basins undergoing antiplane motion using parallel scalable inversion algorithms that overcome many of the difficulties particular to inverse heterogeneous wave propagation problems. © 2003 ACM.

关键词： Wave propagation

来源：评论

学校读者我要写书评

暂无评论

Multimethod machine learning approach for medical diagnosing

Multimethod machine learning approach for medical diagnosing

引用

IEEE EMBS International Conference on Information Technology Applications in Biomedicine (ITAB)

作者： M. Lenic P. Povalej M. Zorman V. Podgorelec P. Kokol L. Lhotska Laboratory for system design Faculty of Electrical Engineering and Computer Science University of Maribor Maribor Slovenia Gerstner Lab Faculty of Electrical Engineering Czech Technical University Czech Republic

In this paper we present a multimethod approach for induction of a specific class of classifiers, which can assist physicians in medical diagnosing in the case of mitral valve prolapse. Mitral valve prolapse is one of the most controversial prevalent cardiac condition and may affect up to ten percent of the population and in the worst case results in sudden death. MultiVeDec is a general framework enabling researchers to generate various intelligent tools based on machine learning. In this paper we focused on various decision tree methods, which are capable of extracting knowledge in a form closer to human perception, a feature that is very important in medical field. The experiment included classifiers with various classical single method approaches, evolutionary approaches, hybrid approaches and also our newest multimethod approach. The main concern of the latest approach is to rind a way to enable dynamic combination of methodologies to the somehow quasi unified knowledge representation. The proposed multimethod approach was capable to outperform all other tested approaches by producing classifier for diagnosing mitral valve prolapse with the highest overall and average class accuracy.

关键词： Machine learning Medical diagnosis Valves Decision trees Medical diagnostic imaging Humans Knowledge representation Classification tree analysis Blood flow Laboratories

来源：评论

学校读者我要写书评

暂无评论

A journey trough clinical applications of multimethod decision trees

引用

9th Conference on Artificial Intelligence on in Medicine in Europe, AIME 2003

作者： Povalej, Petra Lenič, Mitja Štiglic, Milojka Molan Kavalar, Maja Skerbinjek Završnik, Jernej Kokol, Peter Laboratory for System Design Faculty of Electrical Engineering and Computer Science University of Maribor SI-2000 Maribor Slovenia Adolf Drolc Health Centre SI-2000 Maribor Slovenia Department of Paediatric Surgery Maribor Teaching Hospital SI-2000 Maribor Slovenia

ISBN: (纸本)3540201297

We present a journey through successful applications of multimethod approach to induction of decision trees in knowledge extraction, discovery of new knowledge and early diagnosis on the cases of asthma, cardiovascular problems and mitral valve prolapse. The results show that the multimethod approach is a powerful and promising technique enabling the conformation of existing medical knowledge and more interestingly, also enables the induction of new facts and hypothesis, which can reveal some new interesting patterns and possibly improve the existing medical knowledge. © Springer-Verlag Berlin Heidelberg 2003.

关键词： Decision trees

来源：评论

学校读者我要写书评

暂无评论

Reliability and accuracy of heart rate variability metrics versus ECG segment duration

Reliability and accuracy of heart rate variability metrics v...

引用

Annual International Conference of the IEEE engineering in Medicine and Biology Society (EMBC)

作者： J. McNames T. Thong B. Goldstein Biomedical Signal Processing Laboratory Electrical and Computer Engineering Portland State University Portland OR USA Biomedical Engineering OGI School of Science and Engineering Oregon Health and Sciences University Portland OR USA Complex Systems Laboratory Pediatrics Oregon Health and Sciences University Portland OR USA

Heart rate variability (HRV) has been used in many studies to assess the effects of autonomic regulation on the heart rate. A 1996 task force specified standards for calculating HRV metrics and reporting results. The standards focused on metrics calculated from short-term (5 min) and long-term (24 h) recordings of the electrocardiogram (ECG). We compared the accuracy of nine HRV metrics calculated from ECG records spanning 10 s to 10 min to that calculated from a 5 min record. We also estimated the reliability of all nine metrics calculated from 5 min records. We found that high frequency power (HF) and the root mean square of successive NN interval differences (RMSSD) were substantially less sensitive to the segment duration and more reliable than the other seven metrics.

关键词： Heart rate variability Electrocardiography Force measurement Neural networks biomedical engineering Databases Laboratories Reliability engineering Instruments Rhythm

来源：评论

学校读者我要写书评

暂无评论

Enhanced Path Prediction for Network Resource Management in Wireless LANs

引用

IEEE Wireless Communications 2003年第6期10卷 62-69页

作者： Kyriakakos, Miltiadis Frangiadakis, Nikolaos Merakos, Lazaros Hadjiefthymiades, Stathes University of Athens Department of Informatics Communication Networks Laboratory Greek Consulting Firm Advanced Services Group Ltd. Communication Networks Laboratory University of Athens University of Aegean Dept. of Information Engineering Fac. of the Hellenic Open University Patras Greece Department of Telecommunication University of Maryland College Park Communication Networks Laboratory Department of Informatics University of Athens Fac. of Elec. Eng./Computer Science University of Connecticut Storrs Faculty of Electrical Computer Engineering Department Northeastern University Boston MA Commun./Digit. Proc. Research Center Northeastern University IBM T. J. Watson Research Center Yorktown Heights NY Faculty of the University of Athens Greece Department of of Informatics Communication Network Laboratory Netwk. Oper. and Management Center

Path prediction is currently being considered for use in the context of mobile and wireless computing toward more efficient network resource management schemes. Path prediction allows the network and services to further enhance the quality of service levels the user enjoys. Such mechanisms are mostly meaningful in infrastructures like wireless LANs. In this article we present a path prediction algorithm that exploits the machine learning algorithm of learning automata. The decision of the learning automaton is driven by the movement patterns of a single user but is also affected by the aggregated patterns demonstrated by all users. Simulations of the algorithm, performed using the Realistic Mobility Pattern Generator, show increased prediction accuracy.

关键词： Wireless telecommunication systems

来源：评论

学校读者我要写书评

暂无评论

Accuracy of ultra-short heart rate variability measures

Accuracy of ultra-short heart rate variability measures

引用

Annual International Conference of the IEEE engineering in Medicine and Biology Society (EMBC)

作者： T. Thong K. Li J. McNames M. Aboy B. Goldstein Department of Biomedical Engineering OGI School of Science & Engineering Oregon Health and Sciences University Beaverton OR USA Biomedical Signal Processing Laboratory Department of Electrical & Computer Engineering Portland State University Portland OR USA Department of Pediatrics Oregon Health and Sciences University Portland OR USA

Heart rate variability (HRV) measures have been used to assess autonomic cardiac regulation. The standard lengths used in HRV analyses are 5 minutes and 24 hours. In this paper we investigated the accuracy of three HRV measures for ultra-short record length, 10 seconds, which is the length of standard electrocardiograms. The measures chosen were: Standard Deviation Normal-Normal (SDNN), Root Mean Square of Successive Differences (RMSSD), frequency of the peak of the high-frequency (HF) spectra derived using a non-parametric spectrum method. Our analyses indicated that the RMSSD(10)s would be consistent estimates of the 5 minute RMSSD(300)s. The SDNN(10)s were found not to be accurate in our analyses. The HF peak, while promising, would require further studies.

关键词： Heart rate variability Neural networks Measurement standards Time measurement biomedical measurements Electrocardiography Histograms biomedical engineering Laboratories Root mean square

来源：评论

学校读者我要写书评

暂无评论

Paroxysmal atrial fibrillation prediction using isolated premature atrial events and paroxysmal atrial tachycardia

Paroxysmal atrial fibrillation prediction using isolated pre...

引用

Annual International Conference of the IEEE engineering in Medicine and Biology Society (EMBC)

作者： T. Thong J. McNames M. Aboy B. Goldstein Department of Biomedical Engineering OGI School of Science & Engineering Oregon Health and Sciences University Beaverton OR USA Biomedical Signal Processing Laboratory Department of Electrical & Computer Engineering Portland State University Portland OR USA Department of Pediatrics Oregon Health and Sciences University Portland OR USA

A simplified predictor of episodes of paroxysmal atrial fibrillation (PAF) is presented. Over a thirty minute monitoring time, the number of premature atrial complexes (PAC) without normal sinus node reset is counted. When the number of such PACs changes by more than 2 over the monitoring period, a PAF prediction is made. The PAC test is supplemented with a paroxysmal atrial tachycardia (PAT) test that uses a similar approach in identifying and counting episodes of PAF. The combined PAC and PAT test yields a sensitivity of 68%, a specificity of 86% and a positive predictivity of 86% on the public test PAF database from the 2001 computer in Cardiology.

关键词： Atrial fibrillation Databases Testing biomedical engineering Cardiology Batteries computerized monitoring Medical treatment Rhythm Electrocardiography

来源：评论

学校读者我要写书评

暂无评论

Intelligent data analysis of human bone density

Intelligent data analysis of human bone density

引用

Annual IEEE Symposium on computer-Based Medical Systems

作者： P. Povalej M. Lenic M. Zorman P. Kokol M.G.E. Peterson J.M. Lane Laboratory for System Design Faculty of Electrical Engineering and Computer Science University of Maribor Maribor Slovenia Hospital for Special Surgery New York NY USA

In this paper we present the results of an intelligent analysis of osteoporosis database gathered during a longitudinal study in which a random sample of 100 women who had passed precautionary examinations for detection of osteoporosis over five years and were not referred for a definite medical diagnosis was pulled from the records. The intelligent data analysis using advanced methods for decision tree construction was used in order to try to find the main factors that can reduce the risk for development of osteoporosis in women. Most of the extracted knowledge confirmed known medical criteria that put women to risk for osteoporosis, however some new interesting patterns have also been shown.

关键词： Data analysis Humans Osteoporosis Medical diagnostic imaging Bones Decision trees Minerals Databases Medical diagnosis Decision making

来源：评论

学校读者我要写书评

暂无评论

Intelligent platform for automatic medical knowledge acquisition: detection and understanding of neural dysfunctions

Intelligent platform for automatic medical knowledge acquisi...

引用

Annual IEEE Symposium on computer-Based Medical Systems

作者： M. Zorman P. Kokol M. Lenic P. Povalej B. Stiglic D. Flisar Laboratory for System Design Faculty of Electrical Engineering and Computer Science University of Maribor Maribor Slovenia Centre for interdisciplinary and multidisciplinary research and studies CIMRS Maribor Slovenia

The use of intelligent systems and machine learning methods, capable of automatic decision making based on already solved cases, and data mining, are getting more and more popular. Here we are faced not only with technical problems, but also with limited confidence in machine learning techniques. In some cases methods that may explicitly show the deduction process are not powerful enough. One of the possibilities is to modify/improve the methods so that the users could easily follow the process of decision making. To solve this problem, a few years ago we started to develop a platform, which enables us to develop, test and use different kinds of hybrid methods. These are meant to combine the advantages of the integrated methods-e.g., power and knowledge representation-that contribute to the quality of the acquired knowledge. In this paper we present a way of using the developed platform in order to obtain new knowledge, based on results from neurophysiological measurements We are every pleased with the performance of our intelligent platform. The first results we obtained already show some improvement in comparison to classic machine learning approaches.

关键词： Knowledge acquisition Electroencephalography Learning systems Decision making Intelligent systems Machine learning Data mining Testing Knowledge representation Nervous system

来源：评论

学校读者我要写书评

暂无评论

An automated method for neuronal spike source identification

An automated method for neuronal spike source identification

引用

International Joint Conference on Neural Networks (IJCNN)

作者： R.A. Santiago J. McNames K. Burchiei G.G. Lendaris NW Computational Intelligence Laboratory System Science Portland State University USA NW Computational Intelligence Laboratory System Science Portland State Universityt Biomedical Signal Processing Laboratory Electrical & Computer Engineering Portland State University USA

Analysis of microelectrode recordings (MER) of extracellular neuronal activity has gained increasing interest due to potential improvements to surgical techniques involving ablation or placement of deep brain stimulators, as is common in the treatment of Parkinson's disease. Critical to these procedures is the identification of different brain structures such as the globus pallidus internus (GPI). Evidence suggests that the spike trains from individual neurons contain enough information to identify the brain structure in which they are located For the work reported here, spike train data gathered during surgical procedure from multiple patients is used. Using a moving window sampling approach, a novel feature extraction method for spike trains was developed. This method is then used in combination with a support vector classification algorithm. Results strongly indicate that the sampling methods reported here are able to extract the necessary information for highly accurate spike source identification.

关键词： Surgery Brain Sampling methods Microelectrodes Extracellular Parkinson's disease Neurons Feature extraction Classification algorithms Data mining

来源：评论

学校读者我要写书评

暂无评论

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案：

请选择收藏分类：

通借通还

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：