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Classification and quantification of suspended dust from steel plants by using color and transmission image analysis

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JFE Technical Report 2016年第21期 128-134页

作者： Umegaki, Yoshiyuki Kazama, Akira Fukuda, Yoshinori Instrument and Control Engineering Res. Dept. Steel Res. Lab. JFE Steel Japan Steel Res. Lab. JFE Steel Japan Sensing and Visualization Analysis Center Instrument Technology Div. JFE Techno-Research Japan

A system that analyzes suspended dust from steel plants has been developed. The analysis system takes color images of the dust, extracts particles included in the dust from the image based on the color information and classifies the particles into three color types, black, red, and white. The system ultimately measures the amount of the dust particles and the particle size distribution for each color type. The system has an automatic adjustment scheme of the thresholds for the extraction and classification of the dust particles, enabling the analysis of the dust faster and operator-independent. The system has contributed to the planning and execution of the efficient preventive measures against the dust scattering in JFE Steel's steel plants. Copyright © 2016 JFE Steel Corporation. All Rights Reserved.

关键词： Dust

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Robust decentralized control of large-scale systems via H∞theory and using descriptor system representation

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International Journal of systems Science 2016年第12-13期34卷 705-715页

作者： Labibi, B. Lohmann, B. Sedigh, A. Khaki Maralani, P. Jabedar Control Department Electrical Engineering Faculty K. N. Toosi University of Technology Seyyed Khandan Bridge Shariati Street 16314 Iran Dept. of System Dynamics and Control University of Bremen Otto-Hahn-Allee/NW1 28359 Bremen Germany Electrical and Computer Eng. Dept. Faculty of Engineering University of Tehran North Karegar Street Building No. 2 Tehran Iran

In this paper, a method for design of linear decentralized robust controllers for a class of uncertain large-scale systems in general form is presented. For a given large-scale system, an equivalent descriptor system in input-output decentralized form is defined. Using this representation, closed-loop diagonal dominance sufficient conditions are derived. It is shown that by appropriately minimizing the weighted sensitivity function of each isolated subsystem, these conditions are achieved. Solving the appropriately defined H∞local problem for each isolated uncertain subsystem, the interactions between the subsystems are reduced, and the overall stability and robust performance are achieved in spite of uncertainties. The designs are illustrated by a practical example.

关键词： control system synthesis

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A new DSC-PLL using Recursive Discrete Fourier Transform for Robustness to Frequency Variation

A new DSC-PLL using Recursive Discrete Fourier Transform for...

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Annual IEEE Applied Power Electronics Conference and Exposition

作者： Jaedo Lee Hanju Cha Dept. of Instrument control & Electrical System Korea Institute of Nuclear Safety Daejeon Korea Dept. of Electrical Engineering Chungnam National University Daejeon Korea

ISBN: (纸本)9781467395519

In this paper, a new DSC-PLL(Delayed Signal Cancellation Phase Locked Loop) with FLL(Frequency Locked Loop) based on RDFT(recursive discrete fourier transform) method is proposed for coping with frequency variation. This method shows significant performance improvement for detection of fundamental positive sequence component voltage when the grid voltage is polluted by grid harmonics and frequency variation. The frequency detection technique of DSC-PLL tracks frequency drift by the RDFT. These compensation algorithms can correct for discrepancies of changing the frequency within maximum 28ms and improve traditional DSC-PLL. To verify feasibility of the proposed DSC-PLL, Matlab/Simulink results show good agreement with the analysis.

关键词： DSC-PLL Robustness Frequency Variation

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Power decoupling method comparison of isolated single-phase matrix converters using center-tapped transformer with PDM 7

Power decoupling method comparison of isolated single-phase ...

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7th Annual IEEE Energy Conversion Congress and Exposition, ECCE 2015

作者： Takaoka, Nagisa Takahashi, Hiroki Itoh, Jun-Ichi Chiang, Goh Teck Sugiyama, Takahide Sugai, Masaru Dept. of Electrical Engineering Nagaoka University of Technology Japan Dept. of Science of Technology Innovation Nagaoka University of Technology Nagaoka Niigata Japan Dept. of System and Electronics Engineering Dept. II Power Electronics and Control Lab. Toyota Central RandD Labs. INC. Japan

ISBN: (纸本)9781467371506

This paper presents an isolated type of single-phase matrix converter topology for PHV/EV on-board battery chargers. The proposed converter is comprised of a full bridge inverter, a high frequency transformer and a matrix converter. Due to the lack of DC link bus in matrix converter, in order to suppress the power fluctuation, a power decoupling method which only employs a center-tapped high frequency transformer and a small LC buffer where requires no additional switches is applied. On the other hand, the matrix converter applies PDM (Pulse Density Modulation) which achieve ZVS (zero voltage switching) in order to generate a 50Hz/60Hz sinusoidal waveform at the grid side. As a result, this converter shows promising features small size and high efficiency. In this paper, by harmonic analysis, the effectiveness of power decoupling method is evaluated in two cases: the PDM based on the PWM as a conventional method and the PDM based on the delta-sigma conversion. In the experimental results, the power decoupling method with the PDM based on the delta-sigma conversion reduces the DC bus current ripple by 84.8% comparing to the case where the power decoupling method is not applied, while the output voltage distortion is reduced by 64.1% compared with that of the PDM based on the PWM is applied. © 2015 IEEE.

关键词： Matrix converters

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A multi-agent approach for leather processing monitoring and quality control

UPB Scientific Bulletin, Series C: Electrical Engineering an...

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UPB Scientific Bulletin, Series C: Electrical engineering and Computer Science 2015年第3 3期77 77卷 17-30页

作者： Guţʇ, Sergiu-Adrian Dumitrache, Ioan Dept. of Automatic Control and System Engineering University POLITEHNICA of Bucharest Romania Automatic Control and System Engineering Department Automatic Control and Computers Faculty University POLITEHNICA of Bucharest Romania

Currently there is no reliable mechanism available to allow continuous monitoring of all process conditions and leather characteristics inside the closed reactors during leather processing, so no real control. Conditions inside the reactors can only be monitored by stopping the reactor to sample the solution and leather. The automation systems for leather industry rely on stale centralised architecture, a critical point of failure imposing operational bottleneck. To improve the efficiency of leather manufacturing process the paper proposes a multi-agent system (MAS) architecture that is fault tolerant, and that provides high flexibility and agility needed by the turbulent environment of leather industry.

关键词： Multi agent systems

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Identifying the best machine learning algorithms for brain tumor segmentation, progression assessment, and overall survival prediction in the BRATS challenge

arXiv

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arXiv 2018年

作者： Bakas, Spyridon Reyes, Mauricio Jakab, Andras Bauer, Stefan Rempfler, Markus Crimi, Alessandro Shinohara, Russell Takeshi Berger, Christoph Ha, Sung Min Rozycki, Martin Prastawa, Marcel Alberts, Esther Lipkova, Jana Freymann, John Kirby, Justin Bilello, Michel Fathallah-Shaykh, Hassan M. Wiest, Roland Kirschke, Jan Wiestler, Benedikt Colen, Rivka Kotrotsou, Aikaterini Lamontagne, Pamela Marcus, Daniel Milchenko, Mikhail Nazeri, Arash Weber, Marc-Andr Mahajan, Abhishek Baid, Ujjwal Gerstner, Elizabeth Kwon, Dongjin Acharya, Gagan Agarwal, Manu Alam, Mahbubul Albiol, Alberto Albiol, Antonio Albiol, Francisco J. Alex, Varghese Allinson, Nigel Amorim, Pedro H.A. Amrutkar, Abhijit Anand, Ganesh Andermatt, Simon Arbel, Tal Arbelaez, Pablo Avery, Aaron Azmat, Muneeza Pranjal, B. Bai, Wenjia Banerjee, Subhashis Barth, Bill Batchelder, Thomas Batmanghelich, Kayhan Battistella, Enzo Beers, Andrew Belyaev, Mikhail Bendszus, Martin Benson, Eze Bernal, Jose Bharath, Halandur Nagaraja Biros, George Bisdas, Sotirios Brown, James Cabezas, Mariano Cao, Shilei Cardoso, Jorge M. Carver, Eric N. Casamitjana, Adri Castillo, Laura Silvana Cat, Marcel Cattin, Philippe Cérigues, Albert Chagas, Vinicius S. Chandra, Siddhartha Chang, Yi-Ju Chang, Shiyu Chang, Ken Chazalon, Joseph Chen, Shengcong Chen, Wei Chen, Jefferson W. Chen, Zhaolin Cheng, Kun Choudhury, Ahana Roy Chylla, Roger Clrigues, Albert Colleman, Steven Colmeiro, Ramiro German Rodriguez Combalia, Marc Costa, Anthony Cui, Xiaomeng Dai, Zhenzhen Dai, Lutao Daza, Laura Alexandra Deutsch, Eric Ding, Changxing Dong, Chao Dong, Shidu Dudzik, Wojciech Eaton-Rosen, Zach Egan, Gary Escudero, Guilherme Estienne, Tho Everson, Richard Fabrizio, Jonathan Fan, Yong Fang, Longwei Feng, Xue Ferrante, Enzo Fidon, Lucas Fischer, Martin French, Andrew P. Fridman, Naomi Fu, Huan Fuentes, David Gao, Yaozong Gates, Evan Gering, David Gholami, Amir Gierke, Willi Glocker, Ben Gong, Mingming Gonzlez-Vill, Sandra Grosges, T. Guan, Yuanfang Guo, Sheng Gupta, Sudeep Han, Woo-Sup Han, Il Song Harmuth, Ko Center for Biomedical Image Computing and Analytics University of Pennsylvania PhiladelphiaPA United States Department of Radiology Perelman School of Medicine University of Pennsylvania PhiladelphiaPA United States Department of Pathology and Laboratory Medicine Perelman School of Medicine University of Pennsylvania PhiladelphiaPA United States Institute for Surgical Technology and Biomechanics University of Bern Bern Switzerland Center for MR-Research University Children's Hospital Zurich Zurich Switzerland Support Centre for Advanced Neuroimaging Inselspital Institute for Diagnostic and Interventional Neuroradiology Bern University Hospital Bern Switzerland University Hospital of Zurich Zurich Switzerland Center for Clinical Epidemiology and Biostatistics University of Pennsylvania Philadelphia United States Image-Based Biomedical Modeling Group Technical University of Munich Munich Germany Icahn School of Medicine Mount Sinai Health System New YorkNY United States Leidos Biomedical Research Inc. Frederick National Laboratory for Cancer Research FrederickMD21701 United States Cancer Imaging Program National Cancer Institute National Institutes of Health BethesdaMD20814 United States Department of Neurology University of Alabama at Birmingham BirminghamAL United States Department of Diagnostic Radiology University of Texas MD Anderson Cancer Center HoustonTX United States Department of Psychology Washington University St. LouisMO United States Neuroimaging Informatics and Analysis Center Washington University St. LouisMO United States Department of Radiology Washington University St. LouisMO United States Institute of Diagnostic and Interventional Radiology Pediatric Radiology and Neuroradiology University Medical Center Rostock Ernst-Heydemann-Str. 6 Rostock18057 Germany Tata Memorial Centre Homi Bhabha National Institute Mumbai India Shri Guru Gobind Singhji Institute of Engineering and Technology Nanded India NVIDIA Santa Clara

Gliomas are the most common primary brain malignancies, with different degrees of aggressiveness, variable prognosis and various heterogeneous histologic sub-regions, i.e., peritumoral edematous/invaded tissue, necrotic core, active and non-enhancing core. This intrinsic heterogeneity is also portrayed in their radio-phenotype, as their sub-regions are depicted by varying intensity profiles disseminated across multi-parametric magnetic resonance imaging (mpMRI) scans, reflecting varying biological properties. Their heterogeneous shape, extent, and location are some of the factors that make these tumors difficult to resect, and in some cases inoperable. The amount of resected tumor is a factor also considered in longitudinal scans, when evaluating the apparent tumor for potential diagnosis of progression. Furthermore, there is mounting evidence that accurate segmentation of the various tumor sub-regions can offer the basis for quantitative image analysis towards prediction of patient overall survival. This study assesses the state-of-the-art machine learning (ML) methods used for brain tumor image analysis in mpMRI scans, during the last seven instances of the International Brain Tumor Segmentation (BraTS) challenge, i.e., 2012-2018. Specifically, we focus on i) evaluating segmentations of the various glioma sub-regions in pre-operative mpMRI scans, ii) assessing potential tumor progression by virtue of longitudinal growth of tumor sub-regions, beyond use of the RECIST/RANO criteria, and iii) predicting the overall survival from pre-operative mpMRI scans of patients that underwent gross total resection. Finally, we investigate the challenge of identifying the best ML algorithms for each of these tasks, considering that apart from being diverse on each instance of the challenge, the multi-institutional mpMRI BraTS dataset has also been a continuously evolving/growing dataset. Copyright © 2018, The Authors. All rights reserved.

关键词： Tumors

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Modernization of math-related courses in engineering education in Russia based on best practices in European and Russian universities 44

Modernization of math-related courses in engineering educati...

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44th Annual Conference of the European Society for engineering Education - engineering Education on Top of the World: Industry-University Cooperation, SEFI 2016

作者： Soldatenko, I.S. Kuzenkov, O.A. Zakharova, I.V. Balandin, D.V. Biryukov, R.S. Kuzenkova, G.V. Yazenin, A.V. Novikova, S.V. Information Technology Department Tver State University Tver Russia Different. Equat. Math. and Numerical Analysis Department at Institute of Information Technology Mathematics and Mechanics Lobachevsky State University of Nizhni Novgorod Nizhni Novgorod Russia Mathematical Statistics and System Analysis Department Tver State University Tver Russia Contr. Theor. and Syst. Dynam. Dept. at Inst. of Information Technology Mathematics and Mechanics Lobachevsky State University of Nizhni Novgorod Nizhni Novgorod Russia Applied Engineering Department at Institute of Information Technology Mathematics and Mechanics Lobachevsky State University of Nizhni Novgorod Nizhni Novgorod Russia Applied Mathematics and Cybernetics Faculty Tver State University Tver Russia Applied Mathematics and Informatics Department Kazan National Research Technical University Named after A.N.Tupolev Kazan Russia

The article describes problems in the area of engineering education in Russia. These problems were addressed by international TEMPUS project which involves several Russian universities, Association for engineering Education of Russia and four European universities (Tampere University of Technology, Claude Bernard University Lyon 1, Saarland University, Chemnitz University of Technology). This project's aim is the modernization of the Russian education system in accordance with international trends, best practices of European universities and account of Russia's cultural and educational traditions as well as needs of business and industry. The article analyses the experience of modernization of educational programs based on produced methodology. Currently obtained results of approbation of the methodology showed that the chosen modernization methods are an effective tool for solving the designated math-related problems in engineering education in Russian universities and, consequently, students will start to correspond more adequately to the labour market needs.

关键词： engineering education

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Using the Committee Machine Method to Forecasting on the FOREX

Using the Committee Machine Method to Forecasting on the FOR...

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International Conference on Mathematics and Computers in Sciences and in Industry (MCSI)

作者： Oleg I. Nikonov Marina A. Medvedeva Fedor P. Chernavin Dept. of Optimal Control Ural Branch of the Russian Academy of Science Yekaterinburg Russia Dept. of System Analysis and Decision Making Ural Federal University Yekaterinburg Russia

ISBN: (纸本)9781479986743

In the paper we consider a particular case of a neural network - a committee method. The described approach was first introduced in the paper by Ablow, C. M. and Kaylor, D. J [1]. Then further development of the committee machine methods have been carried out by Yekaterinburg pattern recognition school in the Institute of Mathematics and Mechanics, Russian Academy of Sciences. Nowadays theory of committee machine structures is based on results of Mazurov, Vl. D. and Hachay M. Yu. [2],[3]. In the presentation we describe the generalized p-committee construction and its application to the simplest case with two possible solutions: the course of one currency to another either grows, or falls. The problem of forecasting EUR/USD exchange rate on FOREX is studied by committee machine methods. Objective is to determine a direction of the course in 10 min. interval range. Another issues related to committee methods are considered in the paper [4].

关键词： Exchange rates Training Forecasting Testing Pattern recognition Biological system modeling

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Subspace Network Codes with Large Cardinality

Subspace Network Codes with Large Cardinality

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International Conference on engineering and Telecommunication (EnT)

作者： E. M. Gabidulin N. I. Pilipchuk Dept. of Radio Engineering and Control System Moscow Institute of Physics and Technology (State University) Moscow Russia

A network is considered as a directed acyclic graph. A source sends to a destination packets organized as a matrix over the finite field. Such a matrix can be treated as a subspace over the finite field spanned by matrix rows. We investigate an important problem how to construct subspace network codes with large cardinality. We obtained conditions where these codes have maximal cardinality.

关键词： Upper bound control systems Physics Electronic mail Measurement Computers

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Economic evaluation of energy storage options in a microgrid with Flexible Distribution of Energy and Storage resources 51

Economic evaluation of energy storage options in a microgrid...

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51st IEEE/IAS Industrial and Commercial Power systems Technical Conference, I and CPS 2015

作者： Mao, Daijiafan Khasawneh, Hussam J. Illindala, Mahesh S. Schenkman, Benjamin L. Borneo, Daniel R. Electrical and Computer Engineering Dept. Ohio State University Columbus43210 United States Military Energy and System Analysis Sandia National Laboratories AlbuquerqueNM87185 United States Energy Storage Technology and Systems Sandia National Laboratories AlbuquerqueNM87185 United States

ISBN: (纸本)9781479980635

In this paper, an economic evaluation is carried out for energy storage options in an industrial microgrid comprising four distributed energy resources (DERs). It is assumed that each DER unit is accompanied by Li-ion battery and/or supercapacitor for load following under islanded mode of operation. Cost estimates are made for different energy storage options based on present value of life cycle cost. The cost calculations use published information from the U.S. Department of Energy (DOE), Sandia National Laboratories, and Electric Power Research Institute (EPRI). Two different scenarios of project life, viz., 20 and 30 years, are covered. The economic advantage of using the Flexible Distribution of EneRgy and Storage resources (FDERS) framework in microgrid operation is analyzed. © 2015 IEEE.

关键词： Lithium-ion batteries

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