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

作者： A. Yazdan-Shahmorad H. Soltanian-Zadeh R.A. Zoroofi Control and Intelligent Processing Center of Excellence Electrical and Computer Engineering Department Faculty of Engineering University of Tehran Tehran Iran Radiology Department Henry Ford Health System Image Analysis and Communications Laboratory Detroit MI USA

Magnetic resonance spectroscopic imaging (MRSI) is a non-invasive technique for assessing biochemical fingerprint of tissue composition. The need to differentiate between normal and abnormal tissues and determine type of abnormality before biopsy or surgery motivated development and application of MRSI. There are several technical reasons that make the brain easier than other organs to be examined with MRSI. This work presents our proposed methods and results for the analysis of the brain spectra of patients with three tumor types (malignant glioma, astrocytoma, and oligodendroglioma). After extracting features from MRSI data using wavelet and wavelet packets, we use artificial neural networks to determine the abnormal spectra and the type of abnormality. We evaluated the proposed methods using clinical and simulated MRSI data and biopsy results. The MRSI analysis results were correct 97% of the time when classifying the spectra of the clinical MRSI data into normal tissue, tumor, and radiation necrosis. They were correct 72% and 83% of the time when determining tumor types using the clinical and simulated MRSI data, respectively.

关键词： Wavelet packets Neoplasms Artificial neural networks Biopsy Magnetic resonance Spectroscopy Magnetic resonance imaging Fingerprint recognition Surgery Cancer

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The effect assessment method of excitation systems on transient stability of power systems

The effect assessment method of excitation systems on transi...

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Midwest Symposium on Circuits and systems (MWSCAS)

作者： T. Miki R. Sugino Y. Kono Department of Electrical and Electronic Engineering Anan National College of Technology Tokushima Japan Department of Systems and Control Engineering Anan National College of Technology Tokushima Japan System Analysis Section System Integration Department Public-Use e-Solution Center Mitsubishi Electric Corporation Limited Kobe Japan

The objective of this paper is to investigate the method which can assess accurately and efficiently the effects of excitation systems on transient stability of power systems. At first, critical fault clearing time functions CCT(W:load) are defined by taking notice of the fact that transient stability is mainly controlled by fault clearing time and load. Next, the method to be enable to assess accurately and efficiently the effects of excitation systems on transient stability has been newly developed by using the above functions. Finally, it has been applied to the effect assessment in the occurrence of a three- phase fault in a model power system. Results of application have been clarified the effectiveness of the developed method.

关键词： Power system transients Power system stability Power system simulation Power generation Power system faults Power system modeling Flowcharts Power system control Power systems Power system analysis computing

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Activation detection in multi-subject studies of fMRI using GLRT

Activation detection in multi-subject studies of fMRI using ...

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IEEE Symposium on Nuclear Science (NSS/MIC)

作者： S.M. Shams G.A. Hossein-Zadeh H. Soltanian-Zadeh Control and Intelligent Processing Center of Excellence Electrical and Computer Engineering Department Institute for Studies in Theoretical Physics and Mathematics University of Tehran School of Cognitive Sciences Tehran Iran Control and Intelligent Processing Center of Excellence Electrical and Computer Engineering Department Institute for Studies in Theoretical Physics and Mathematics and Medical Image Analysis Laboratory Henry Ford Health System University of Tehran School of Cognitive Sciences Iran

A new method based on generalized likelihood ratio test (GLRT) for activation detection in multi-subject studies of functional MRI (fMRI) is proposed. In this method, we test the correlation between the fMRI time series of different subjects and the bases of a signal subspace which increases the flexibility of method in detecting different shapes of hemodynamic response. The proposed multivariate method can be applied to group studies where the conventional cross-correlation method cannot be used due to its univariate property. This method is applied to both experimental and simulated fMRI data and the results are compared to those of general linear model (GLM). We show that the proposed method detects more significant activated regions in analyzing experimental data and more true voxels in simulated data

关键词： Testing Hemodynamics Brain modeling Process control Intelligent control Physics computing Mathematics Time series analysis Magnetic resonance imaging Data analysis

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Stochastic Hybrid Observer for Bioprocess State Estimation

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IFAC Proceedings Volumes 2004年第3期37卷 19-24页

作者： X. Hulhoven R. Hanus Ph. Bogaerts Université Libre de Bruxelles General Chemistry and Biosystems Department Av. F.-D. Roosevelt 50 CP 165/61 1050 Brussels (Belgium). Tel +32-2-650-36-81 fax: -f-32-2-650-35-75 Université Libre de Bruxelles Control Engineering and System Analysis Department Av. F.-D. Roosevelt 50 CP 165/61 1050 Brussels (Belgium). Tel +32-2-650-36-81 fax: -f-32-2-650-35-75

State observers provide estimates of non-measured variables based on a mathematical model of the process and some available hardware sensor signals. On the one hand, exponential observers, such as the full horizon observer (FHO) or Kalman filters, have an adjustable rate of convergence, but strongly rely on the accuracy of the process model. On the other hand, asymptotic observers use a state transformation in order to avoid using the (usually uncertain) kinetic model, but have a rate of convergence imposed by the process dilution rate. In an attempt to combine the advantages of both techniques, a hybrid observer is developed. The principle of this hybrid observer is to compare the observations made by the two observers in order to perform a test on the process model quality and to provide, accordingly, a state estimation that evolves between the two above-mentioned limit observations (observations from an exponential or the asymptotic observer).

关键词： State observers nonlinear systems biotechnology fermentation processes

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Stochastic Full Horizon-Asymptotic Hybrid Observer Applied to a Simulated Cell Culture

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IFAC Proceedings Volumes 2004年第3期37卷 25-30页

作者： X. Hulhoven R. Harms Ph. Bogaerts Université Libre de Bruxelles General Chemistry and Biosystems Department Av. F.-D. Roosevelt 50 CP 165/61 1050 Brussels (Belgium). Tel +32-2-650-36-81 fax: -f-32-2-650-35-75 Université Libre de Bruxelles Control Engineering and System Analysis Department Av. F.-D. Roosevelt 50 CP 165/61 1050 Brussels (Belgium). Tel +32-2-650-36-81 fax: -f-32-2-650-35-75

In an attempt to combine the advantages of an exponential state observer (i.e. fast convergence with an accurate model) and an asymptotic one (i.e. convergence without any knowledge about the kinetic model), a stochastic hybrid observer, which compares the observations made by the two observers has been developed (Hulhoven et al ., 2003). This comparison is made in order to perform a test on the process model quality and to provide a state estimation that evolves, accordingly, between the state estimation provided by the exponential observer and the one from the asymptotic one. In this contribution, the stochastic hybrid observer is established by using a full horizon observer as the exponential observer. The performances of this hybrid observer, are then tested on a simulated fed-batch cell culture.

关键词： State observers nonlinear systems biotechnology fermentation processes

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Fault detection of non-linear systems based on multi-form quasi-armax modeling and its application to the ship benchmark 13

Fault detection of non-linear systems based on multi-form qu...

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13th IFAC Symposium on system Identification, SYSID 2003

作者： Kumamaru, K. Inoue, K. Hosoyamada, Y. Söerström, T. Faculty of Computer Science and Systems Engineering Kyushu Institute of Technology Kawazu 680-4 Fukuoka Iizuka820-8502 Japan Department of Automatic Control and System Analysis Institute of Technology Uppsala University P.O.Box 27 Uppsala Sweden

This paper is concerned with an application study of model-based fault detection method to a ship propulsion system. When modeling the object system, Quasi-ARMAX model with multi-model form is used. In this model, the system non-linearity is incorporated into model parameters by using non-linear non-parametric models (NNMs). Kullback discrimination Information (KDI) is introduced as fault detection index to evaluate the distortion in identified model, which is caused by a fault. The effectiveness of the method is verified through simulation studies on the ship propulsion system. © 2003 International Federation of Automatic control.

关键词： Fault detection

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Fault detection of non-linear systems based on multi-form quasi-armax modeling and its application to the ship benchmark

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IFAC Proceedings Volumes 2003年第16期36卷 1047-1052页

作者： K. Kumamaru K. Inoue Y. Hosoyamada T. Söerström Faculty of Computer Science and Systems Engineering Kyushu Institute of Technology Kawazu 680-4 Iizuka 820-8502 Fukuoka Japan Department of Automatic Control and System Analysis Institute of Technology Uppsala University P.O.Box 27 Uppsala Sweden

关键词： Fault detection Kullback discrimination information non-linear system parameter estimation quasi-ARMAX model

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Human systems integration and advanced technology in engineering department workload and manpower reduction

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NAVAL ENGINEERS JOURNAL 2003年第1期115卷 57-65页

作者： Lively, KA Seman, AJ Kirkpatrick, M KENNETH A. LIVELY graduated from the University of Colorado with a BS in applied mathematics and an MS in mathematics in 1976 and from the Massachusetts Institute of Technology with an MS in electrical engineering and the degree ocean engineer in naval architecture and marine engineering in 1984. He retired from the U.S. Navy in 1989 after 23 years of service. Assignments included electrical officer on the USS Constellation (CV 64) project engineer for the DDG 51 machinery control system (NAVSEA) and DDG 51 Technical Director (NAVSEA). He was vice president of the PDI Division of Bird-Johnson Company from July 1989 to November 1998 where he managed various gas turbine and machinery controls related development projects. He joined Anteon Corporation's Systems Engineering Group as senior controls engineer in December 1998 where he provided technical support to the integrated power systems program (NAVSEA PMS 510) and managed the Office of Naval Research Afloat Laboratory. DR. MARK KIRKPATRICK is currently an independent consultant in human factors and work-load/manning analysis and modeling. He holds a Ph.D. degree in experimental psychology from The Ohio State University and has 34 years of experience in applied human factors. From 1982 through 2000 Dr. Kirkpatrick served as the senior vice president of Carlow International. Prior to joining Carlow in 1982 Dr. Kirkpatrick served as a member of the technical staff at North American Rockwell's Missiles Division and as a project director and vice president for Essex Corporation. His areas of expertise include workload simulation task analysis operator-in-the-loop simulation human performance experimentation statistical analysis and human factors T&E. He has directed and/or participated in human factors projects for the U.S. Navy U.S. Army NASA Department of Transportation the U.S. Nuclear Regulatory Commission and private industry. ANTHONY J. SEMAN III is the technical manager for the reduced ship's crew by virtual presence (RSVP) advanced technology d

Aboard current ships, such as the DDG 51, engineering control and damage control activities are manpower intensive. It is anticipated that, for future combatants, the workload demand arising from operation of systems under conditions of normal steaming and during casualty response will need to be markedly reduced via automated monitoring, autonomous control, and other technology initiatives. Current DDG 51 class ships can be considered as a manpower baseline and under Condition III typical engineering control involves seven to eight watchstanders at manned stations in the Central control Station, the engine rooms and other machinery spaces. In contrast to this manning level, initiatives such as DD 21 and the integrated engineering plant (IEP) envision a partnership between the operator and the automation system, with more and more of the operator's functions being shifted to the automation system as manning levels decrease. This paper describes some human systems integration studies of workload demand reduction and, consequently, manning reduction that can be achieved due to application of several advanced technology concepts. Advanced system concept studies in relation to workload demand are described and reviewed including. Piecemeal applications of diverse automation and remote control technology concepts to selected high driver tasks in current DDG 51 activities. Development of the reduced ship's crew by virtual presence system that will provide automated monitoring and display to operators of machinery health, compartment conditions, and personnel health. The IEP envisions the machinery control system as a provider of resources that are used by various consumers around the ship. Resource needs and consumer priorities are at all times dependent upon the ship's current mission and the availability of equipment pawnbrokers.

关键词： Naval warfare

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systematic Generation of Identifiable Macroscopic Reaction Schemes

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IFAC Proceedings Volumes 2001年第5期34卷 13-18页

作者： Ph. Bogaerts A. Vande Wouwer Université Libre de Bruxelles Control Engineering and System Analysis Department Ave. F.-D. Roosevelt 50 C.P. 165155 B-1050 Brussels (Belgium) Tel. 32-2-650.26.75 Fax. 32-2-650.26 .77 Faculte Poly technique de Mons Control Engineering Department Bld. Dolez 31 B-7000 Mons (Belgium)Tel. 32-65-37.41.41 Fax. 32-65-37.4136

Mathematical modelling of bioprocesses is very useful for building simulators, software sensors, con trollers, etc. Th ese tools are generally based on simple models consisting of the system of mass balances for the macroscopic species involved in a reaction scheme. Although this reaction scheme plays a key role in bioprocess modelling, its determination usually relyon intuition, process knowledge and trials and errors. This paper focuses on a metho d to genera te and to co mpare, in a syste matic way, all the identifiable schemes given a set of components for which concentration measurements are available. “Identifiable schemes” means that the pseudo-stoichiometric coefficients can be (uniquely) identified, independently of the kinetics which are unknown. The method is illustrated on a case study.

关键词： mathematical models biotechnology parameter identification identifiability maximum likelihood estimators

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Nonlinear and Linearized Full Horizon State Observers - Application to Bioprocesses

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IFAC Proceedings Volumes 2000年第10期33卷 371-376页

作者： Ph. Bogaerts R. Hanus Université Libre de Bruxelles Control Engineering and System Analysis Department Av. F.-D. Roosevelt 50 C.P. 165/55 B-1050 Brussels (Belgium) tel: 32-2-650.26.75 fax: 32-2-650.26.77

The state estimation of full horizon observers is based on the identification of the most likely initial state of the process, this latter being identified at each time where new measurements are available. On the one hand, a nonlinear version of this observer is given together with its properties. It has the advantage to consist of a real nonlinear approach (without any approximation of the nonlinear model of the process). On the other hand, a linearized version is proposed, based on a recursive most likelihood estimation of the initial state. This latter estimator does not need to solve a nonlinear optimisation problem at each new sample time anymore. These approaches are illustrated in the case of the biomass concentration estimation within CHO animal cell cultures, for which only rare and asynchronous measurement samples of the glutamine, glucose and lactate concentrations are available.

关键词： state observers maximum likelihood estimators nonlinear systems biotechnology

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