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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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Educational Innovation: Interaction and Relationship Inside A Sub-Module

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Procedia - Social and Behavioral Sciences 2015年 186卷 395-400页

作者： Fernando Oterino-Echavarri Jose Manuel Lopez-Guede Ekaitz Zulueta Manuel Graña Department of Electronics University College of Engineering of Vitoria Basque Country University (UPV/EHU) C/Nieves Cano 12 01006 Vitoria-Gasteiz Spain Department of Systems Engineering and Automatic Control University College of Engineering of Vitoria Basque Country University (UPV/EHU) C/Nieves Cano 12 01006 Vitoria-Gasteiz Spain Computational Intelligence Group Basque Country University (UPV/EHU) Department of Computer Science and Artificial Intelligence Faculty of Informatics Basque Country University (UPV/EHU) Paseo Manuel de Lardizabal 1 20018 Donostia-San Sebastián Spain

In this paper authors will expose a work developed with the aim to submit an educational innovation project proposal to a competitive call for Educational Innovation Projects 2013-2015 of the Education Advisory Service of the Basque Country University (UPV/EHU, Spain). This project is being carried out in the computer Structure and computer Architecture sub-module of the Degree in computer Management and Information Systems engineering of the University College of engineering of Vitoria-Gasteiz, University of the Basque Country (UPV/EHU). The project is based on the active learning, more specifically, on cooperative learning. In this paper we have given deeper insight the dependencies between all the subjects belonging to the analyzed sub-module, which is composed of two subjects named computer Structure and computer Architecture. We have included in such analysis a previous subject named Principles of Digital Systems Design, which does not belong to that sub-module, but plays an important role in the acquisition of the knowledge and competencies of the two previously referenced subjects.

关键词： Active Learning Cooperative Learning computer engineering computer Structure computer Architecture

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Development of a Realistic Crowd Simulation Environment for Fine-grained Validation of People Tracking Methods

arXiv

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arXiv 2023年

作者： Foszner, Pawel Szczęsna, Agnieszka Ciampi, Luca Messina, Nicola Cygan, Adam Bizon, Bartosz Cogiel, Michal Golba, Dominik Macioszek, Elżbieta Staniszewski, Michal Department of Computer Graphics Vision and Digital Systems Faculty of Automatic Control Electronics and Computer Science Silesian University of Technology Gliwice Poland Institute of Information Science and Technologies National Research Council Pisa Italy QSystems.pro sp. z o.o. Mochnackiego 34 Bytom41-907 Poland Blees sp. z o.o. Zygmunta Starego 24a/10 Gliwice44-100 Poland Department of Transport Systems Traffic Engineering and Logistics Faculty of Transport and Aviation Engineering Silesian University of Technology Katowice Poland

Generally, crowd datasets can be collected or generated from real or synthetic sources. Real data is generated by using infrastructure-based sensors (such as static cameras or other sensors). The use of simulation tools can significantly reduce the time required to generate scenario-specific crowd datasets, facilitate data-driven research, and next build functional machine learning models. The main goal of this work was to develop an extension of crowd simulation (named CrowdSim2) and prove its usability in the application of people-tracking algorithms. The simulator is developed using the very popular Unity 3D engine with particular emphasis on the aspects of realism in the environment, weather conditions, traffic, and the movement and models of individual agents. Finally, three methods of tracking were used to validate generated dataset: IOU-Tracker, Deep-Sort, and Deep-TAMA. © 2023, CC BY.

关键词： Deep learning

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CrowdSim2: an Open Synthetic Benchmark for Object Detectors

arXiv

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arXiv 2023年

Data scarcity has become one of the main obstacles to developing supervised models based on Artificial Intelligence in computer Vision. Indeed, Deep Learning-based models systematically struggle when applied in new scenarios never seen during training and may not be adequately tested in non-ordinary yet crucial real-world situations. This paper presents and publicly releases CrowdSim2, a new synthetic collection of images suitable for people and vehicle detection gathered from a simulator based on the Unity graphical engine. It consists of thousands of images gathered from various synthetic scenarios resembling the real world, where we varied some factors of interest, such as the weather conditions and the number of objects in the scenes. The labels are automatically collected and consist of bounding boxes that precisely localize objects belonging to the two object classes, leaving out humans from the annotation pipeline. We exploited this new benchmark as a testing ground for some state-of-the-art detectors, showing that our simulated scenarios can be a valuable tool for measuring their performances in a controlled environment. © 2023, CC BY.

关键词： Object detection

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Foreword

Lecture Notes in Electrical Engineering

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Lecture Notes in Electrical engineering 2017年 415 LNEE卷 V-VI页

作者： Duy, Vo Hoang Dao, Tran Trong Kim, Sang Bong Tien, Nguyen Tan Zelinka, Ivan Department of Automatic Control Ton Duc Thang University Ho Chi Minh City Viet Nam International Cooperation Research and Training Institute Ton Duc Thang University Ho Chi Minh City Viet Nam Department of Mechanical Design Engineering Pukyong National University Busan Korea Republic of Department of Mechanical Engineering Hochiminh City University of Technology Ho Chi Minh City Viet Nam Faculty of Electrical Engineering and Computer Science VŠB-TUO Ostrava Czech Republic

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A new approach to create a realistic virtual model of a cylindrical robot using Automation Studio

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IOP Conference Series: Materials Science and engineering 2019年第1期591卷

作者： C C Dosoftei A Lupu C M Pascal Gheorghe Asachi Technical University of Iasi Faculty of Automatic Control and Computer Engineering Bd. Dimitrie Mangeron nr. 67 700050 Iasi Romania

Industry 4.0 is mainly represented by the digitalization technologies of physical industrial assets, thus obtaining the cyber-physical systems. A key role in digitalization developing is indeed played by possibility to develop a realistic virtual model (3D model) and using this model in virtual simulations to test the functionality of the system at possible scenarios from real world. The paper presents the modelling a mechatronic system represented by a three-dimensional cylindrical type manipulator in Automation Studio software and aims creating cinematic animation which will be used in the field of virtual commissioning. This approach in Industry 4.0 paradigm is studied in the academic environment and in the industrial research from last decade time, because generate major benefits such as in remote accessibility for learning, time efficiency from planning to real setup with possibility of detection and debugging of errors in the system, for minimizing time commissioning and predictive maintenance.

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Developing a denoising filter for electron microscopy and tomography data in the cloud

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Biophysical Reviews 2012年第3期4卷 223-229页

作者： Starosolski, Zbigniew Szczepanski, Marek Wahle, Manuel Rusu, Mirabela Wriggers, Willy Faculty of Automatic Control Electronics and Computer Science Silesian University of Technology 44-100 Gliwice Akademicka 16 Poland School of Biomedical Informatics University of Texas Health Science Center Houston TX 77030 7000 Fannin St. UCT 600 United States Department of Pediatric Radiology Texas Children's Hospital Houston TX 77030 6621 Fannin St. United States Department of Biomedical Engineering Rutgers The State University of New Jersey Piscataway NJ 08854 599 Taylor Road United States Department of Physiology and Biophysics and Institute for Computational Biomedicine Weill Medical College of Cornell University NY NY 10065 1300 York Ave. United States D. E. Shaw Research NY NY 10036 120 West 45th Street United States

The low radiation conditions and the predominantly phase-object image formation of cryo-electron microscopy (cryo-EM) result in extremely high noise levels and low contrast in the recorded micrographs. The process of single particle or tomographic 3D reconstruction does not completely eliminate this noise and is even capable of introducing new sources of noise during alignment or when correcting for instrument parameters. The recently developed Digital Paths Supervised Variance (DPSV) denoising filter uses local variance information to control regional noise in a robust and adaptive manner. The performance of the DPSV filter was evaluated in this review qualitatively and quantitatively using simulated and experimental data from cryo-EM and tomography in two and three dimensions. We also assessed the benefit of filtering experimental reconstructions for visualization purposes and for enhancing the accuracy of feature detection. The DPSV filter eliminates high-frequency noise artifacts (density gaps), which would normally preclude the accurate segmentation of tomography reconstructions or the detection of alpha-helices in single-particle reconstructions. This collaborative software development project was carried out entirely by virtual interactions among the authors using publicly available development and file sharing tools. © 2012 International Union for Pure and Applied Biophysics (IUPAB) and Springer.

关键词： cryo-EM Digital paths Filtering Helix detection Remote collaboration Supervised classification

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Design and initial study of porous core electromagnet for levitation applications

引用

AIP Conference Proceedings 2018年第1期2029卷

作者： Adam Piłat Bartosz Sikora 1AGH University of Science and Technology Faculty of Electrical Engineering Automatics Computer Science and Biomedical Engineering Department of Automatic Control and Robotics Mickiewicza 30 30-059 Krakow Poland

A concept of the porous core electromagnet is studied. The form for the electromagnet core was printed using 3D technique. The core was manufactured manually using iron filings and cured in room temperature and air pressure. The aim of this paper is to deliver initial analysis of the proposed powder core together with the modelling procedure by the using finite element method, and to compare the experimental results of the manually manufactured electromagnet. The material property of the numerical model was adjusted to fit the experimental results. Finally, the electromagnet was tested in the levitation real–time experiment.

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Development and application of MCAL tools for marine radar instruction

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computer Applications in engineering Education 1995年第4期3卷 259-259页

作者： Guirguis, S. Korany, E. Abdel-Bary, A. Institute of Graduate Studies and Research Alexandria University Alexandria Egypt Shawkat K. Guirguis:obtained the BSc and M.Sc. degrees in Computer Science and Automatic Control Faculty of Engineering Alexandria University in 1981 and 1984 respectively. In 1988 he obtained a PhD degree in Electronics and Communications Faculty of Engineering Cairo University co-supervised by the Imperial College of Science and Technology University of London where he spent two years as an academic visitor. His current research interests include software quality management multimedia automatic programming and decision support systems. He is currently a lecturer of Computer Science at the Institute of Graduate Studies & Research Alexandria University. Ezzat A. Korany:received the BS degree in Electrical Engineering (Electronics Section) from the University of Alexandria Egypt in 1971 the MS degree in Electrical Engineering (Computer Section) from Ain Shams University Cairo Egypt in 1977 and the PhD degree in Electrical Engineering (Digital Systems) from Florida Institute of Technology U.S.A. in 1982. He is currently an associate professor of Computer Science at the Institute of Graduate Studies & Research University of Alexandria. His research interests are in data communications and multimedia applications computer networks image processing and pattern recognition. Abdel-Latif A. Abdel-Bary:obtained the BEng degree in Electronics Technology from Arab Maritime Transport Academy in 1986. In 1995 he obtained the MSc degree in Information Technology from the Institute of Graduate Studies & Research Alexandria University. His current research interests include ICAL hypermedia and automatic programming.

In this article a multimedia computer-assisted learning (MCAL) system is presented. The major objective of this work was to investigate the potential of using such systems as tools for transferring instructional course information through various types of computer media as opposed to the classic CAL systems. The philosophy and techniques employed to design the system are investigated. Usage of the implemented system and its merits have been illustrated through its application to teach engineering students and technicians the theory and concepts of marine radar. System design, implementation, test, and revision phases are presented and discussed.

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Correction to: Global existence and stability of Nicholson blowflies model with harvesting and random effect

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Nonlinear Dynamics 2022年第4期108卷 4629-4629页

作者： Abbas, Syed Niezabitowski, Michal Grace, Said R. School of Basic Sciences Indian Institute of Technology Mandi Mandi India Faculty of Automatic Control Electronics and Computer Science Silesian University of Technology Gliwice Poland Department of Engineering Mathematics Faculty of Engineering Cairo University Giza Egypt

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