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14th International Stuttgart Symposium on Automotive and Engine Technology, 2014

作者： Kunkel, Florian Isermann, Rolf Technische Universtität Darmstadt Institute for Automatic Control and Mechatronics Research Group Control Systems and Process Automation Germany

ISBN: (纸本)9783658051297

Hybrid electric vehicles offer the possibility of driving electrically with the combustion engine shut off. However, this leads to cooling of the catalyst, which may significantly worsen the vehicle emissions. In this contribution, first a vehicle model including thermal models of the exhaust gas aftertreatment is introduced. Based on a reference battery state of charge trajectory for the predicted trip, a fuel optimal online optimization by means of Pontryagin’s Minimum Principle is introduced. It is then extended by further optimization criteria, including the catalyst temperature. Simulations of the New European Driving Cycle show that purely fuel optimal operation leads to a catalyst temperature which is too low for effectively reducing the emissions. The optimization which includes the catalyst temperature is able to keep the catalyst in an operating state with only small effects on the overall fuel consumption. © Springer Fachmedien Wiesbaden 2014.

关键词： Hybrid vehicles

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Investigation of the trigger voltage walk-in effect in LDMOS for high-voltage ESD protection

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Journal of Semiconductors 2014年第9期35卷 56-59页

作者：梁海莲董树荣顾晓峰钟雷吴健于宗光 Key Laboratory of Advanced Process Control for Light Industry (Ministry of Education) Department of Electronic Engineering Jiangnan University ESD Laboratory Department of Information Science and Electronic Engineering Zhejiang University China Electronic Technology Group Corporation No.58 Research Institute

The trigger voltage walkin effect has been investigated by designing two different laterally diffused metal-oxide-semiconductor （LDMOS） transistors with an embedded silicon controlled rectifier （SCR）. By inserting a P＋ implant region along the outer and the inner boundary of the N＋ region at the drain side of a conventional LDMOS transistor, we fabricate the LDMOS-SCR and the SCR-LDMOS devices with a different triggering order in a 0.5/zm bipolar-CMOS-DMOS process, respectively. First, we perform transmission line pulse （TLP） and DC-voltage degradation tests on the LDMOS-SCR. Results show that the trigger voltage walk-in effect can be attributed to the gate oxide trap generation and charge trapping. Then, we perform TLP tests on the SCR-LDMOS. Results indicate that the trigger voltage walk-in effect is remarkably reduced. In the SCR-LDMOS, the embedded SCR is triggered earlier than the LDMOS, and the ESD current is mainly discharged by the parasitic SCR structure. The electric potential between the drain and the gate decreases significantly after snapback, leading to decreased impact ionization rates and thus reduced trap generation and charge trapping. Finally, the above explanation of the different trigger voltage walk-in behavior in LDMOS-SCR and SCR-LDMOS devices is confirmed by TCAD simulation.

关键词： electrostatic discharge laterally diffused metal-oxide-semiconductor silicon control rectifier triggervoltage walk-in effect

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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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GaN-based p–i–n ultraviolet photodetectors with a thin p-type GaN layer on patterned sapphire substrates

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Chinese Optics Letters 2014年第9期12卷 66-69页

作者：黄红娟闫大为王国胜谢峰杨国锋肖少庆顾晓峰 Key Laboratory of Advanced Process Control for Light Industry (Ministry of Education) Department of Electronic Engineering Jiangnan University The 38th Research Institute of China Electronics Technology Group Corporation

We study the performance of GaN-based p i n ultraviolet （UV） photodetectors （PDs） with a 60 nm thin ptype contact layer grown on patterned sapphire substrate （PSS）. The PDs on PSS exhibit a low dark current of -2 pA under a bias of -5 V, a large UV/visible rejection ratio of-7× 10^3, and a high-quantum efficiency of -40% at 365 nm under zero bias. The average quantum efficiency of the PDs still remains above 20% in the deep-UV region from 280 to 360 nm. In addition, the noise characteristics of the PDs are also discussed, and the corresponding specific detectivities limited by the thermal noise and the low-frequency 1/f noise are calculated.

关键词： Gallium alloys Gallium nitride Photodetectors Photons Sapphire Substrates

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Trajectory-based fault accommodation in winder turbine systems 10

Trajectory-based fault accommodation in winder turbine syste...

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10th UKACC International Conference on control, control 2014

作者： Jain, Tushar Yamé, Joseph J. Sauter, Dominique Aalto University Research Group of Process Control and Automation School of Chemical Technology Kemistintie 1 AaltoFI-00076 Finland Centre de Recherche en Automatique de Nancy CRAN-CNRS Université de Lorraine Vandoeuvre-les-Nancy54506 France

ISBN: (纸本)9781479950119

This paper presents a trajectory-based online controller reconfiguration mechanism to tolerate faults in a wind turbine (WT) system. The system is a benchmark WT model which includes FAST coded simulator designed by the U.S. National Renewable Energy Laboratory's. The novelty of the proposed mechanism is that no a priori information about the model of the turbine is used in real-time. Instead, we use online measurements generated by the WT, which in fact captures the behaviour of the wind turbine. Based on the given control specifications, and the observed measurements an occurring fault is accommodated by reconfiguring the controller such that the WT generates the rated power even under faulty conditions. © 2014 IEEE.

关键词： Wind turbines

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Time Delay Prediction Method Based on EMD and Elman Neural Network

Time Delay Prediction Method Based on EMD and Elman Neural N...

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International Conference on Intelligent Human-Machine Systems and Cybernetics, IHMSC

作者： Fan Yu Dan Chen Xusheng Tang Research Center for Advanced Process Control Fuzhou University Fuzhou China College of Mechanical Engineering and Automation Fuzhou University Fuzhou China

ISBN: (纸本)9781479949540

The time-delay in the teleoperation system is an important parameter affecting the stability and performance. A time delay prediction method based on EMD(Empirical Mode Decomposition) and Elman neural network is proposed in this paper. Firstly, time delay sequence is separated into IMFs by EMD, then the first several IMFs are subtracted from time delay signals as noise. The sum of rest IMFs are taken as the input of Elman neural network to predict. Finally, computer simulation of teleoperation is built. The results of experiments indicate that the proposed method based on EMD and Elman neural network is more accurate and has better prediction ability than which is predicted by Elman neural network directly.

关键词： Delay effects Neural networks Noise Educational institutions Internet Prediction algorithms Hidden Markov models

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A data-driven bumpless switching approach for energy efficiency of a multiple evaporator cooling system

A data-driven bumpless switching approach for energy efficie...

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IEEE Conference on control Technology and Applications (CCTA)

作者： Joseph J. Yamé Tushar Jain CNRS Centre de Recherche en Automatique de Nancy Vandoeuvre-lès-Nancy France Aalto University Research group of process control and automation AALTO Finland

ISBN: (纸本)9781479974108

Multiple-evaporator/vapor compression cooling systems are used for air conditioning in multi-zone buildings with a refrigerant supplied to each individual zone-evaporator from a central compressor/condenser unit. Such systems, incorporating controlled electronic expansion valves associated to each evaporator and a variable-speed compressor, allow the overall system to be able to operate in different modes in order to achieve cooling requirements and energy efficiency. Switching between the different modes associated with the cooling demands might give rise to switching transients. Such transients are likely to negatively impact the control performance and consequently the energy efficiency of the overall system. In this paper, a novel technique is proposed for dealing with such transients when switching between control modes in a multiple-evaporator/vapor compression cooling system in order to ensure that the control performance undergoes no degradation. The proposed approach is purely a “data-driven” technique using only the plant input/output measurements available in realtime. A simulated experiment with a two-evaporator/vapor compression cooling system shows that the proposed algorithm can achieve a quite satisfactory overall performance under mode switching.

关键词： Switches Trajectory Refrigerants Transient analysis Kernel

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On-line qualitative model-based diagnosis of technological systems using colored petri nets 28

On-line qualitative model-based diagnosis of technological s...

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28th European Simulation and Modelling Conference, ESM 2014

作者： Leitold, Adrien Gerzson, Miklós Pózna, Anna I. Hangos, Katalin M. Department of Mathematics University of Pannonia P.O.B. 158 VeszprémH-8201 Hungary Dept. of Electrical Engineering and Information System University of Pannonia P.O.B. 158 VeszprémH-8201 Hungary Process Control Research Group Computer and Automation Research Institute P.O.B. 63 BudapestH-1518 Hungary

ISBN: (纸本)9789077381861

A novel on-line diagnosis method is proposed in this paper that uses a qualitative dynamic model of the system and its colored Petri nets model. The model contains both the normal and the possible faulty operational modes of the system. The deviation between the normal and faulty modes is characterized based on P-HAZID tables. The actual system state can be searched on the occurrence graph constructed in advance. Starting from this node the possible consequences and root causes can be determined on-line with traversing on the graph. The proposed method is illustrated on simple case studies.

关键词： Petri nets

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Faults and fault propagation modeling in manufacturing systems based on colored petri nets 28

Faults and fault propagation modeling in manufacturing syste...

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28th European Simulation and Modelling Conference, ESM 2014

作者： Gerzson, Miklós Leitold, Adrien Hangos, Katalin M. Dept. of Electrical Engineering and Information System University of Pannonia P.O.B. 158 VeszprémH-8201 Hungary Department of Mathematics University of Pannonia P.O.B. 158 VeszprémH-8201 Hungary Process Control Research Group Computer and Automation Research Institute P.O.B. 63 BudapestH-1518 Hungary

ISBN: (纸本)9789077381861

A novel fault integration method is proposed in this paper for manufacturing system models given in the form of timed colored Petri nets. The faults are assumed to have a stochastic nature and are represented in the form of transitions firing in stochastic way with known fault probabilities in the system model. A novel fault effect propagation method was also developed, that can be used to compute the probabilities of the possible faulty and non-faulty intermediate and final states of the system using the probabilities of faults and the occurrence graph. The faultless and fault containing models were implemented in CPNTools both for non-timed and timed cases. A software module was also developed for the proposed probabilistic fault propagation analysis. The proposed methods and tools were demonstrated using a simple case study.

关键词： Manufacture

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Sliding mode control for T-S fuzzy stochastic systems with Markovian switching

Sliding mode control for T-S fuzzy stochastic systems with M...

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第三十三届中国控制会议

作者： Bei Chen Yugang Niu Tinggang Jia Central Academe Shanghai Electric Group Co.Ltd. Key Laboratory of Advanced Control and Optimization for Chemical Process(East China University of Science and Technology) Ministry of Education Automation Division Shanghai Electric Group Co.Ltd.

This paper is concerned with the sliding mode control(SMC)problem for a class of T-S fuzzy stochastic systems with Markovian *** purpose of the problem addressed is to integrate the SMC method such that,for all admissible parameter uncertainty,external disturbance and state-dependent noise,the closed-loop system is globally asymptotically ***,it is not required that each nominal local system model shares the same input channel,which is usually assumed in some existing *** is shown that both the reachability of sliding surfaces and the stability of sliding mode dynamics can be ensured.

关键词： Markovian jumping systems,State-dependent noise,T-S fuzzy model,Sliding mode control

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