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Modeling Demand for Inventory Management of Slow-Moving Items in Case of Reporting Errors

IFAC Proceedings Volumes 2004年第4期37卷 27-32页

作者： Alexandre Dolgui Anatoly Pashkevich Maxim Pashkevich Scientific Methods for Industrial Management Dept. (MSGI) Industrial Engineering and Computer Sciences Center (G2I) Ecole de Mines de Saint Etienne 158 Cours Fauriel 42023 Saint Etienne France Robotic Laboratory Department of Automatic Control Belarusian State University of Informatics and Radioelectronics 6 P.Brovka St. Minsk 220027 Belarus Department of Mathematical Modeling and Data Analysis Faculty of Applied Mathematics and Computer Science Belarusian State University Skarina Av. 4 Minsk 220050 Belarus

The paper is devoted to the problem of modeling demand for inventory management of slow-moving items in the case of reporting errors. It is proposed a generalization of the beta-binomial demand model that takes into account possible reporting errors in the learning sample. For the new model, there are developed identification and forecasting algorithms that provide consistent estimators of the model parameters and mean square optimal forecasts. The efficiency of the proposed approach is illustrated by an application example for slow-moving car parts.

关键词： inventory control error correction statistical inference parameter estimation prediction methods

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Preface

Lecture Notes in Computer Science (including subseries Lectu...

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Lecture Notes in computer science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 2004年 3139卷 V-VI页

作者： Iida, Fumiya Pfeifer, Rolf Steels, Luc Kuniyoshi, Yasuo University of Zurich Artificial Intelligence Laboratory Department of Informatics Andreasstr. 15 Zurich Switzerland Vrije Universiteit Brussel Artificial Intelligence Laboratory and Sony Computer Science Laboratory Department of Informatics Pleinlaan 2 Brussels Belgium University of Tokyo School of Information Science and Technology Dept. of Mechano-Informatics Laboratory for Intelligent Systems and Informatics Engineering Bldg. 8 7-3-1 Hongo Bunkyo-kuTokyo Japan

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Identifying markov blankets with decision tree induction

Identifying markov blankets with decision tree induction

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作者： Frey, Lewis Fisher, Douglas Tsamardinos, Ioannis Aliferis, Constantin F. Statnikov, Alexander Dept. of Electrical Engineering and Computer Science Box 1679 Station B Nashville TN 37235 United States Dept. of Biomedical Informatics Vanderbilt University 2209 Garland Avenue Nashville TN 37232 United States

ISBN: (纸本)0769519784

The Markov Blanket of a target variable is the minimum conditioning set of variables that makes the target independent of all other variables. Markov Blankets inform feature selection, aid in causal discovery and serve as a basis for scalable methods of constructing Bayesian networks. This paper applies decision tree induction to the task of Markov Blanket identification. Notably, we compare (a) C5.0, a widely used algorithm for decision rule induction, (b) C5C, which post-processes C5.0's rule set to retain the most frequently referenced variables and (c) PC, a standard method for Bayesian Network induction. C5C performs as well as or better than C5.0 and PC across a number of data sets. Our modest variation of an inexpensive, accurate, off-the-shelf induction engine mitigates the need for specialized procedures, and establishes baseline performance against which specialized algorithms can be compared. © 2003 IEEE.

关键词： Bayesian networks

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Enhanced Path Prediction for Network Resource Management in Wireless LANs

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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

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40th EASD Annual Meeting of the European Association for the Study of Diabetes : Munich, Germany, 5-9 September 2004

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Diabetologia 2004年第SUPPL 1期47卷 A1-A464页

作者： Veitenhansl, M. Stegner, K. Hierl, F.-X. Dieterle, C. Feldmeier, H. Gutt, B. Landgraf, R. Garrow, A. P. Vileikyte, L. Findlow, A. Waterman, C. Boulton, A. J. M. Shankhdhar, K. Shankhdhar, L. Shankhdhar, U. Petrova, N. L. Foster, A. V. M. Edmonds, M. E. Ferraresi, R. Caravaggi, C. De Giglio, R. Cavaiani, P. Pogliaghi, I. Sommariva, E. Katz, I. A. Harlan, A. Miranda-Palma, B. Prieto-Sanchez, L. Armstrong, D. G. Bowker, J. H. Mizel, M. S. Cernea, S. Wohlgelernter, J. Kidron, M. Modi, P. Raz, I. Arbit, E. Nosek, L. Kapitza, C. Beckett, P. Gelfand, R. Goldberg, M. Heise, T. Testa, M. A. Turner, R. R. Hayes, J. F. Scranton, R. E. Simonson, D. C. Yang, Y.-W. Hsu, Y.-J. Naujok, O. Francini, F. Jörns, A. Tiedge, M. Lenzen, S. Abdel-Wahab, Y. H. A. Marenah, L. Orr, D. F. Shaw, C. Flatt, P. R. Chokkalingam, K. Mansell, P. I. Clausen, P. Ekbom, P. Damm, P. Feldt-Rasmussen, U. Nielsen, B. Mathiesen, E. R. Feldt-Rasmussen, B. Dewan, S. Da Silva, N. Ternan, P. Mc Leong, K. S. Wilding, J. P. H. Asatiani, N. Kurashvili, R. Dundua, M. Shelestova, E. Pagava, K. Ramazashvili, M. Hod, M. Smirnov, S. Petersen, J. L. A. Justesen, T. I. Ringholm Nielsen, L. Müller, C. Højlund, K. Wensaas, A. Kase, E. T. Aas, V. Rustan, A. C. Thoresen, G. H. Levin, K. Beck-Nielsen, H. Gaster, M. Im, S.-S. Kang, S.-Y. Kim, S.-Y. Ahn, Y.-H. Lihn, A. S. Schmoll, D. Werner, T. Kienitz, A. Meyer, M. Barthel, A. Ailett, F. Sutherland, C. Walther, R. Grempler, R. Sasson, S. Reich, R. Tenenbaum, T. Alpert, E. Anfossi, G. Russo, I. Traversa, M. Massucco, P. Mattiello, L. Doronzo, G. Trovati, M. Lally, S. Tan, C. Y. Owens, D. Tomkin, G. H. Porchay, I. Péan, F. Bellili, N. Betoulle, D. Balkau, B. Tichet, J. Marre, M. Fumeron, F. Chatellier, G. Alhenc-Gelas, F. Nichols, G. A. Brown, J. B. Hayes, R. P. Bowman, L. Drexel, H. Saely, C. H. Marte, T. Benzer, W. Langer, P. Hoefle, G. Moll, W. Aczel, S. Karagiannis, E. Lübben, G. Urquhart, R. Edwards, G. Bruce, S. Howlett, H. S. C. Cugnardey, N. Turner, K. C. Park, J.-S. Fiedorek, F. T. Avogaro, A. Gallo, A. Pinton, P. Riz Innenstadt Klinikum der Universität München München Germany Diabetes Center Medizinische Klinik München Germany Medicine The University of Manchester Manchester UK Medicine University of Manchester Manchester UK Podiatry The University of Salford Manchester UK Department of Medicine/Division of Endocrinology Diabetes and Metabolism University of Miami Miami USA Department of Medicine Manchester Royal Infirmary Manchester UK Podiatry L.K.Diabetes Centre Lucknow India Diabetology L.K.Diabetes Centre Lucknow India Medical Nutrition L.K.Diabetes Centre Lucknow India Diabetic Foot Clinic King’s College Hospital London UK Haemodinamic Department - Cardiovascular Division Magenta Hospital Milan Italy Center for the Study and Treatment of Diabetic Foot Pathology Abbiategrasso Hospital Milan Italy Center for the Study and Treatment of Diabetic Foot Pathology Abbiategrasso Hospital Abbiategrasso Italy Department of Orthopedics University of Miami Miami USA Department of Surgery Southern Arizona Veterans Affairs Medical Center Tucson USA Surgery Southern Arizona VA Medical Center Tucson USA Podiatric Medicine and Surgery Rosalind Franklin University School of Medicine and Science North Chicago USA Diabetes Department Center of Diabetes Nutrition and Metabolic Disorders Clug-Napoca Romania Diabetes Unit Hadassah University Hospital Jerusalem Israel Diabetes Unit Hadassah Hebrew University Hospital Jerusalem Israel Research Department Generex Biotechnology Corporation Toronto Canada Hadassah Hebrew University Hospital Jerusalem Israel Medical Research Emisphere Technologies Inc. New York USA Profil Institut fuer Stoffwechselforschung GmbH Neuss Germany Profil Institute for Metabolic Research Neuss Germany Management Profil Inst. für Stoffwechselforschung Düsseldorf Germany Institute for Metabolic Research Profil Neuss Germany Biostatistics Harvard School of Public Health Boston USA Clinical Research Phase V Technologies Wellesley Hills US

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Execution-time plan management for a cognitive orthotic system

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International Seminar on Plan-Based Control of Robotic Agents, 2001

作者： Pollack, Martha E. McCarthy, Colleen E. Ramakrishnan, Sailesh Tsamardinos, Ioannis Artificial Intelligence Laboratory Dept. Of Electrical Engineering and Computer Science University of Michigan Ann ArborMI48109 United States Department of Computer Science University of Pittsburgh United States Department of Biomedical Informatics Vanderbilt University United States

ISBN: (纸本)3540001689

In this paper we discuss our work on plan management in the Autominder cognitive orthotic system. Autominder is being designed as part of an initiative on the development of robotic assistants for the elderly. Autominder stores and updates user plans, tracks their execution via input from robot sensors, and provides carefully chosen and timed reminders of the activities to be performed. It will eventually also learn the typical behavior of the user with regard to the execution of these plans. A central component of Autominder is its Plan Manager (PM), which is responsible for the temporal reasoning involved in updating plans and tracking their execution. The PM models plan update problems as disjunctive temporal problems (DTPs) and uses the Epilitis DTP solving system to handle them. We describe the plan representations and algorithms used by the Plan Manager, and briefly discuss its connections with the rest of the system. © Springer-Verlag Berlin Heidelberg 2002.

关键词： Behavioral research

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Hybrid Segmentation of Anatomical Data 4th

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4th International Conference on Medical Image Computing and computer-Assisted Intervention, MICCAI 2001

作者： Imielinska, Celina Metaxas, Dimitris Udupa, Jayaram Jin, Yinpeng Chen, Ting College of Physicians and Surgeons Office of Scholarly Resources Medical Informatics Dept. and Dept. of Computer Science Columbia University United States Dept. of Computer and Information Science University of Pennsylvania United States Medical Image Processing Group Dept. of Radiology University of Pennsylvania United States Department of Biomedical Engineering Columbia University United States

ISBN: (纸本)3540426973

We propose new hybrid methods for automated segmentation of radiological patient data and the Visible Human data. In this paper, we integrate boundary-based and region-based segmentation methods which amplifies the strength but reduces the weakness of both approaches. The novelty comes from combining a boundary-based method, the deformable model-based segmentation with region-based segmentation methods, the fuzzy connectedness and Voronoi Diagram-based segmentation, to develop hybrid methods that yield high precision, accuracy and efficiency. This work is a part of a NTM funded effort to provide a fully implemented and tested Visible Human Project Segmentation and Registration Toolkit (Insight). © Springer-Verlag Berlin Heidelberg 2001.

关键词： Hospital data processing

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Adaptation techniques for ubiquitous Internet multimedia

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Wireless Communications and Mobile Computing 2001年第2期1卷 141-163页

作者： Margaritidis, Margaritis Polyzos, George C. Center for Wireless Communications Dept. of Comp. Sci. and Engineering University of California San Diego San Diego CA 92093-0114 United States Department of Informatics Athens Univ. of Econ. and Business Athens 10434 Greece Dept. of Comp. Sci. and Engineering University of California San Diego San Diego CA 92093-0114 United States University of California San Diego CA United States University of Patras Patras Greece Department of Computer Science Athens Univ. of Econ. and Business University of California San Diego CA United States Computer Systems Laboratory Steering Comm. UCSD Ctr. Wireless C. National Technical University Athens Greece University of Toronto Canada

We identify the importance of adaptation for the ubiquitous access to Internet multimedia content. The variety of media types combined with the diversity of Internet connection characteristics raises momentous challenges to the achievement of this goal. With adaptation, the characteristics of various media can be adjusted to better match those of the network path and the end device. As a result, adaptive streams enjoy superior robustness and provide substantially better presentation quality than traditional, non-adaptive ones, especially in variable, capacity-limited environments. We examine several important factors that influence the design and optimization of the adaptation architecture. First, the location of the adaptation mechanism on the end-to-end path must be chosen. Second, the adaptation policy, i.e., the agility in adapting to variations in network path performance, must be specified. Third, the adaptation mechanism needs to be aware of the value of the perceptual quality that the different representations of each medium and the necessary resources to sustain it. Finally, we emphasize the role of supporting mechanisms in enhancing the adaptation process, namely, prioritization, admission control and hand-off notifications. Based on the aforementioned criteria, we classify existing research approaches and present some of them as case studies. We also describe current commercial solutions and, finally, we discuss future trends in application adaptation in conjunction with recent developments towards wireless access to the Internet. Copyright © 2001 John Wiley and Sons, Ltd.

关键词： Media adaptation ubiquitous access wireless networks mobile communications Quality‐of‐Service proxy filtering handoffs utility functions

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Automated membrane model creation

Automated membrane model creation

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computers in Cardiology 2000

作者： Pormann, J.B. Board, J.A. Rose, D.J. Henriquez, C.S. Dept. of Elec. and Comp. Engineering Duke University Durham NC United States Department of Computer Science Duke University Durham NC United States Department of Biomedical Engineering Duke University Durham NC United States Dept. of Elec. and Comp. Engineering Duke University Box 90291 Durham NC 27708-0291 United States

We present an extension to CardioWave, our modular simulation system for the Bidomain Equations, which allows new membrane modules to be added by parsing a simple text file of equations, eliminating the need for the user to write source code. CardioWave can simulate wavefront conduction in geometries ranging from single fibers to 3-D regions of myocardium and is designed to run on modern parallel computers, including dedicated supercomputers and clusters of workstations. The automated membrane module generator presented here accepts Latex- or MathML-formatted equations as input and produces C-language source code as output. The membrane generator also allows for computational acceleration through look-up table interpolation. Such enhancements are implemented with minimal user intervention. This automated generation of membrane modules simplifies the process of creating highly realistic, highly complex, simulations of wavefront dynamics in the heart.

关键词： Biological membranes

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On the Perception of Transients: Applying Psychophysical Constraints to Improve Audio Analysis and Synthesis 26

On the Perception of Transients: Applying Psychophysical Con...

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26th International computer Music Conference, ICMC 2000

作者： Wakefield, Gregory H. Heller, Laurie M. Carney, Laurel H. Mellody, Maureen Department of Electrical Engineering and Computer Science University of Michigan Ann ArborMI48109 United States Naval Submarine Medical Research Laboratory GrotonCT06359 United States Hearing Research Center Dept. of Biomedical Engineering Boston University BostonMA02215 United States Applied Physics Program University of Michigan United States

In a psychophysical experiment, a wideband, 4-ms noise is compared with spectrally smoothed versions of the noise. To isolate on the magnitude spectrum, the phase spectrum is controlled by assigning the same random phase spectrum to both the original and smoothed signals. Depending on the choice of phase spectrum, discrimination thresholds for spectral shape vary from a maximum spectral deviation of 2-3 dB to as much as 25 dB. The exact source of this effect remains an open question. However, it suggests that not all transients require the same signal fidelity. Given a proper characterization of the perceptual response, it may be possible to reduce the size of the codebook required to maintain acceptable perceptual results. © 2000 ICMC. All Rights Reserved.

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