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IEEE International Symposium on Parallel and distributed Processing Workshops and Phd Forum (IPdPSW)

作者： Tomoki Kawamura Yoneda Kazunori Takashi Yamazaki Takashi Iwamura Masahiro Watanabe Yasushi Inoguchi School of Information science Japan Advanced Institute of Science and Technology Nomi Japan Biomedical Simulation R&D Office Healthcare Systems Unit Fujitsu Ltd Research Center for Advanced Computing Infrastructure

The finite element method (FEM) is used in a variety of numerical simulations to solve partial differential equations (PdEs) in solving a large linear system of equations at one of the computational phases. The cost of solving a large linear system with a linear solver often overwhelms with other computational phases in FEM analysis. For this reason, graphics processing units (GPUs) are widely adopted in iterative linear solvers such as generalized minimum residual (GMrES) to speed up the analysis. Nevertheless, there are two major drawbacks in iterative linear solvers in GPU. First, the system matrix does not fit in GPU memory as the scale of simulation increases. In such cases, we may face a abnormal slowdown of the GPU due to data transfer between the main memory and GPU memory. Second, the sparse matrix-vector product (SpMV) in the solvers is a hotspot because SpMV requires a lot of indirect memory access for non-zero elements of the sparse matrix. To solve these problems, a compression method for the sparse matrix storage format is needed as a reduction method for both required memory space and memory access. In this paper, we propose an improved compression method for conventional sparse matrix storage formats such as compressed sparse row (CSr) and ELLPACK (ELL). Assuming that part of the column indexes in those formats is consecutive and such part can be described with its minimum and maximum values. Such consecutive indexes will be compressed into two integers. Using this idea, the partial sum of the product for that part can be calculated without having to load those consecutive indexes from memory. Thereby, this compression method reduces the memory usage and memory access. In our experiments, our compression method could also reduce the memory usage 8 out of 10 matrices in CSr and ELL. In particular, the memory reduction ratio of the pwtk matrix is up to 26.6% in CSr. Furthermore, our compression method reduced the execution time of SpMV compared with CS

关键词： Sparse matrices Indexes Graphics processing units Memory management Linear systems Mathematical model Finite element analysis

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response surface modeling-based source contribution analysis and VOC emission control policy assessment in a typical ozone-polluted urban Shunde,China

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Journal of Environmental Sciences 2017年第1期29卷 294-304页

作者： Zhiqiang You Yun Zhu Carey Jang Shuxiao Wang Jian Gao Che-Jen Lin Minhui Li Zhenghua Zhu Hao Wei Wenwei Yang Guangdong Provincial Key Laboratory of Atmospheric Environment and Pollution Control College of Environment and EnergySouth China University of TechnologyGuangzhou Higher Education Mega CenterGuangzhou 510006China State Key Joint Laboratory of Environment Simulation and Pollution Control School of EnvironmentTsinghua UniversityBeijing 100084China USEPA/offilce of Air Quality Planning&Standards RTPNC 27711USA Chinese Research Academy of Environmental Sciences Beijing 100012China Department of Civil Engineering Lamar UniversityBeaumontTX 77710-0024USA Guangzhou Urban Environmental Cloud Information Technology R&D Co.Ltd Guangzhou 511400China

To develop a sound ozone（O_3） pollution control strategy,it is important to well understand and characterize the source contribution due to the complex chemical and physical formation processes of O_*** the ＂Shunde＂ city as a pilot summer case study,we apply an innovative response surface modeling（rSM） methodology based on the Community Multi-Scale Air Quality（CMAQ） modeling simulations to identify the O_3 regime and provide dynamic analysis of the precursor contributions to effectively assess the O_3 impacts of volatile organic compound（VOC） control *** results show that Shunde is a typical VOC-limited urban O_3 polluted *** ＂Jiangmen＂ city,as the main upper wind area during July 2014,its VOCs and nitrogen oxides（NO_x） emissions make up the largest contribution（9.06%）.On the contrary,the contribution from local（Shunde） emission is lowest（6.35%） among the seven neighbor *** local VOCs industrial source emission has the largest contribution comparing to other precursor emission sectors in *** results of dynamic source contribution analysis further show that the local NO_x control could slightly increase the ground O_3 under low（10.00%） and medium（40.00%）reduction ratios,while it could start to turn positive to decrease ground O_3 under the high NO_x abatement ratio（75.00%）.The real-time assessment of O_3 impacts from VOCs control strategies in Pearl river delta（Prd） shows that the joint regional VOCs emission control policy will effectively reduce the ground O_3 concentration in Shunde.

关键词： O_3 response surface model Source contribution analysis VOCs control policy

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Correction to: Use of Physiologically Based Pharmacokinetic (PBPK) Modeling for Predicting drug-Food Interactions: an Industry Perspective

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The AAPS journal 2020年第1期23卷 6页

作者： Arian Emami riedmaier Kevin deMent James Huckle Phil Bransford Cordula Stillhart richard Lloyd ravindra Alluri Sumit Basu Yuan Chen Varsha dhamankar Stephanie dodd Priyanka Kulkarni Andrés Olivares-Morales Chi-Chi Peng Xavier Pepin Xiaojun ren Thuy Tran Christophe Tistaert Tycho Heimbach Filippos Kesisoglou Christian Wagner Neil Parrott DMPK and Translational Modeling AbbVie Inc. North Chicago Illinois USA. arian.emamiriedmaier@***. Global DMPK Takeda Pharmaceutical Co. Ltd. San Diego California USA. Drug Product Technology Amgen Thousand Oaks California USA. Modeling & Informatics Vertex Pharmaceuticals Boston Massachusetts USA. Pharmaceutical R&D Formulation & Process Sciences F.Hoffmann-La Roche Ltd. Basel Switzerland. Computational & Modelling Sciences Platform Technology Sci-ences GlaxoSmithKline R&D Ware Hertfordshire UK. Clinical Pharmacology and Safety Sciences R&D AstraZeneca Cambridge UK. Pharmacokinetic Pharmacodynamic and Drug Metabolism-Quantitative Pharmacology and Pharmacometrics (PPDM-QP2)Merck & Co Inc. West Point Pennsylvania USA. Department of Drug Metabolism and Pharmacokinetics Genentech South San Francisco California USA. Formulation Development Vertex Pharmaceuticals Boston Massachusetts USA. Formulation Development Cyclerion Therapeu-tics Inc. Cambridge Massachusetts USA. Chemical & Pharmaceutical Profiling Novartis Institutes for Biomedical Research Cambridge Massachusetts USA. Department of Pharmacokinetics and Drug Metabolism AmgenInc Cambridge Massachusetts USA. Pharmaceutical Sciences Roche Pharmaceutical Research andEarly Development Roche Innovation Center Basel Switzerland. Drug Metabolism and Pharmacokinetics Theravance Biopharma South San Francisco California USA. New Modalities and Parenteral Development PharmaceuticalTechnology & Development Operations AstraZeneca Maccles-field UK. Modeling & Simulation PK Sciences Novartis Institutes of Biomedical Research East Hanover New Jersey USA. Computational & Modelling Sciences Platform Technology Sci-ences GlaxoSmithKline R&D Collegeville Pennsylvania USA. Pharmaceutical Sciences Janssen Research & Development Beerse Belgium. PBPK & Biopharmaceutics Novartis Institutes of Biomedical Research Wayne New Jersey USA. Pharmaceutical Sciences Merck & Co. Inc. Kenilworth New Jersey US

An Erratum to this paper has been published: https://***/10.1208/s12248-020-00535-z.

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Hoeffding Tree Algorithms for Anomaly detection in Streaming datasets: A Survey

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Journal of Information Security 2017年第4期8卷 339-361页

作者： Asmah Muallem Sachin Shetty Jan Wei Pan Juan Zhao Biswajit Biswal Department of Electrical and Computer Engineering Tennessee State University Nashville TN USA Virginia Modeling Analysis and Simulation Center Old Dominion University Norfolk VA USA R&D Engineering Department Roadstar.AI. Mountain View CA USA Department of Electrical and Computer Engineering Tennessee State University Nashville TN USA Department of Mathematics and Computer Science South Carolina State University Orangeburg SC USA

This survey aims to deliver an extensive and well-constructed overview of using machine learning for the problem of detecting anomalies in streaming datasets. The objective is to provide the effectiveness of using Hoeffding Trees as a machine learning algorithm solution for the problem of detecting anomalies in streaming cyber datasets. In this survey we categorize the existing research works of Hoeffding Trees which can be feasible for this type of study into the following: surveying distributed Hoeffding Trees, surveying ensembles of Hoeffding Trees and surveying existing techniques using Hoeffding Trees for anomaly detection. These categories are referred to as compositions within this paper and were selected based on their relation to streaming data and the flexibility of their techniques for use within different domains of streaming data. We discuss the relevance of how combining the techniques of the proposed research works within these compositions can be used to address the anomaly detection problem in streaming cyber datasets. The goal is to show how a combination of techniques from different compositions can solve a prominent problem, anomaly detection.

关键词： Hoeffding Trees distributed Ensembles Anomaly detection Machine Learning Spark

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Input optics systems of the KAGrA detector during O3GK (vol 2023, 023F01, 2023)

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PrOGrESS OF THEOrETICAL ANd EXPErIMENTAL PHYSICS 2023年第5期2023卷

作者： Akutsu, T. Ando, M. Arai, K. Arai, Y. Araki, S. Araya, A. Aritomi, N. Asada, H. Aso, Y. Bae, S. Bae, Y. Baiotti, L. Bajpai, r. Barton, M. A. Cannon, K. Cao, Z. Capocasa, E. Chan, M. Chen, C. Chen, K. Chen, Y. Chiang, C-I Chu, H. Chu, Y-K Eguchi, S. Enomoto, Y. Flaminio, r. Fujii, Y. Fujikawa, Y. Fukunaga, M. Fukushima, M. Furuhata, T. Gao, d. Ge, G-G Ha, S. Hagiwara, A. Haino, S. Han, W-B Hasegawa, K. Hattori, K. Hayakawa, H. Hayama, K. Himemoto, Y. Hiranuma, Y. Hirata, N. Hirose, E. Hong, Z. Hsieh, B-H Huang, G-Z Huang, H-Y Huang, P. Huang, Y-C Huang, Y-J Hui, d. C. Y. Ide, S. Ikenoue, B. Imam, S. Inayoshi, K. Inoue, Y. Ioka, K. Ito, K. Itoh, Y. Izumi, K. Jeon, C. Jin, H-B Jung, K. Jung, P. Kaihotsu, K. Kajita, T. Kakizaki, M. Kamiizumi, M. Kanbara, S. Kanda, N. Kang, G. Kataoka, Y. Kawaguchi, K. Kawai, N. Kawasaki, T. Kim, C. Kim, J. Kim, J. C. Kim, Ws Kim, Y-M Kimura, N. Kita, N. Kitazawa, H. Kojima, Y. Kokeyama, K. Komori, K. Kong, A. K. H. Kotake, K. Kozakai, C. Kozu, r. Kumar, r. Kume, J. Kuo, C. Kuo, H-S Kuromiya, Y. Kuroyanagi, S. Kusayanagi, K. Kwak, K. Lee, H. K. Lee, H. W. Lee, r. Leonardi, M. Li, K. L. Lin, L. C-C Lin, C-Y Lin, F-K Lin, F-L Lin, H. L. Liu, G. C. Luo, L-W Majorana, E. Marchio, M. Michimura, Y. Mio, N. Miyakawa, O. Miyamoto, A. Miyazaki, Y. Miyo, K. Miyoki, S. Mori, Y. Morisaki, S. Moriwaki, Y. Nagano, K. Nagano, S. Nakamura, K. Nakano, H. Nakano, M. Nakashima, r. Nakayama, Y. Narikawa, T. Naticchioni, L. Negishi, r. Quynh, L. Nguyen Ni, W-T Nishizawa, A. Nozaki, S. Obuchi, Y. Ogaki, W. Oh, J. J. Oh, S. H. Ohashi, M. Ohishi, N. Ohkawa, M. Ohta, H. Okutani, Y. Okutomi, K. Oohara, K. Ooi, C. Oshino, S. Otabe, S. Pan, K-C Pang, H. Parisi, A. Park, J. Arellano, F. E. Pena Pinto, I. Sago, N. Saito, S. Saito, Y. Sakai, K. Sakai, Y. Sakuno, Y. Sato, S. Sato, T. Sawada, T. Sekiguchi, T. Sekiguchi, Y. Shao, L. Shibagaki, S. Shimizu, r. Shimoda, T. Shimode, K. Shinkai, H. Shishido, T. Shoda, A. Somiya, K. Son, E. J. Sotani, H. Sugimoto, r. Suresh, J. Suzuki, T. Suzuki, T. Tagoshi, H. Takahashi, H Gravitational Wave Science Project National Astronomical Observatory of Japan 2-21-1 Osawa Mitaka City Tokyo 181-8588 Japan Advanced Technology Center National Astronomical Observatory of Japan 2-21-1 Osawa Mitaka City Tokyo 181-8588 Japan Department of Physics The University of Tokyo 7-3-1 Hongo Bunkyo-ku Tokyo 113-0033 Japan Research Center for the Early Universe The University of Tokyo 7-3-1 Hongo Bunkyo-ku Tokyo 113-0033 Japan Institute for Cosmic Ray Research KAGRA Observatory The University of Tokyo 5-1-5 Kashiwa-no-Ha Kashiwa City Chiba 277-8582 Japan Accelerator Laboratory High Energy Accelerator Research Organization (KEK) 1-1 Oho Tsukuba City Ibaraki 305-0801 Japan Earthquake Research Institute The University of Tokyo 1-1-1 Yayoi Bunkyo-ku Tokyo 113-0032 Japan Department of Mathematics and Physics Graduate School of Science and Technology Hirosaki University 3 Bunkyo-cho Hirosaki Aomori 036-8561 Japan Kamioka Branch National Astronomical Observatory of Japan 238 Higashi-Mozumi Kamioka-cho Hida City Gifu 506-1205 Japan The Graduate University for Advanced Studies (SOKENDAI) 2-21-1 Osawa Mitaka City Tokyo 181-8588 Japan Korea Institute of Science and Technology Information 245 Daehak-ro Yuseong-gu Daejeon 34141 Republic of Korea National Institute for Mathematical Sciences 70 Yuseong-daero 1689 Beon-gil Yuseong-gu Daejeon 34047 Republic of Korea International College Osaka University 1-1 Machikaneyama-cho Toyonaka City Osaka 560-0043 Japan School of High Energy Accelerator Science The Graduate University for Advanced Studies (SOKENDAI) 1-1 Oho Tsukuba City Ibaraki 305-0801 Japan Department of Astronomy Beijing Normal University Xinjiekouwai Street 19 Haidian District Beijing 100875 China Department of Applied Physics Fukuoka University 8-19-1 Nanakuma Jonan Fukuoka City Fukuoka 814-0180 Japan Department of Physics Tamkang University No. 151 Yingzhuan Road Danshui Dist. New Taipei City 25137 Taiwan Department of Physics

KAGrA, the underground and cryogenic gravitational-wave detector, was operated for its solo observation from February 25 to March 10, 2020, and its first joint observation with the GEO 600 detector from April 7 to April 21, 2020 (O3GK). This study presents an overview of the input optics systems of the KAGrA detector, which consist of various optical systems, such as a laser source, its intensity and frequency stabilization systems, modulators, a Faraday isolator, mode-matching telescopes, and a high-power beam dump. These optics were successfully delivered to the KAGrA interferometer and operated stably during the observations. The laser frequency noise was observed to limit the detector sensitivity above a few kilohertz, whereas the laser intensity did not significantly limit the detector sensitivity.

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Visually servoed trajectory tracking of quadrotors with the kinematic model

Visually servoed trajectory tracking of quadrotors with the ...

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International Conference on Control, Automation, robotics and Vision

作者： Penghong Lin Kai Wang Control and Simulation Center Harbin Institute of Technology Harbin China R&D Department Corechips Technology Co. Ltd. Shenzhen China

ISBN: (纸本)9781509035502

The visually servoed trajectory tracking of quadrotors has attracted many academic researchers over the past decade, and numerous controllers are proposed for this challenging problem. The trajectory tracking controller proposed in this paper follows the Position Based Visual Servoing (PBVS) paradigm. Most of the PBVS controllers, if not all, are implemented assuming that the position of the quadrotor has been accurately recovered with an independent estimator. Therefore the rigorous trajectory tracking stability cannot be promised due to the separation principle does not hold for the general nonlinear systems. Accordingly, a new PBVS controller is proposed in this paper for the trajectory tracking of quadrotors by embedding a novel adaptive estimator into this new controller to estimate the position of the quadrotor online. It is proved by Lyapunov theory that the proposed adaptive PBVS controller gives rise to the asymptotic trajectory tracking and the convergence of the estimated position to the actual one. An experiment is conducted to validate the effectiveness of the proposed controller.

关键词： visual servoing quadrotor trajectory tracking

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The state transfer mechanism and classification algorithm for stationary and moving objects in front of vehicle

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Qiche Gongcheng/Automotive Engineering 2016年第5期38卷 638-645页

作者： Gao, Zhenhai Wang, Jun Wang, deping Li, Hongjian Jilin University State Key Laboratory of Automotive Simulation and Control Changchun130025 China China FAW Group Corporation New Energy Vehicle Branch Changchun130122 China China FAW Group Corporation R&D Center Changchun130011 China

To tackle the key technical issue of driving assistance system, i. e. the accurate detection of stationary and moving objects by radar echo, a time window-based vehicle frontal object state classification method is proposed in this paper based on the movement state transfer mechanism of ground objects. On the basis of analyses on ground object movement states and their transfer mechanism, Stationary and moving objects are classified into five categories: stationary object, moving object, oncoming object, stopped object and unclassified object. Then a transfer state machine model for the object movement states within a fixed time window is created, and the condition threshold and time window length for object state transfer are determined. Finally, the detection tests of moving, oncoming, braking and stopping vehicles and trees and other stationary objects under various working conditions are conducted on an experimental vehicle, providing technical supports for the engineering application of millimeter-wave radar-based adaptive cruise and automatic emergent braking in driving assistance system. © 2016, SAE-China. All right reserved.

关键词： Vehicles

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Based on continuum mechanics thrust rod fatigue life prediction

Based on continuum mechanics thrust rod fatigue life predict...

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IEEE International Conference on Mechatronics and Automation

作者： Guoyu Feng Wenku Shi Henghai Zhang Teng Teng Simulation and Control Jilin University Aircraft Control Department Aviation University Air Force Changchun Jilin China China FAW Group Corporation R&D Center Changchun Jilin China

ISBN: (纸本)9781509023974

research on the method for predicting the fatigue life of the thrust rod based on continuum mechanics theory. In the equivalent stress as damage parameters established rubber fatigue life prediction model. Using finite element simulation and materials testing to obtain the model parameters, and the dangerous parts prone to fatigue cracks. By equivalent stress life model, uniaxial fatigue life of the V-type thrust rod is analyzed to predict the ratio of life and the life of the test was 1.73, within an acceptable range, and the fatigue damage occurring position and finite element analysis are basically the same. Fatigue life analysis shows that the method is correct, theoretical and practical value.

关键词： decision support systems TV Out of order Conferences Mechatronics Automation

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Based on linear cumulative damage thrust rod fatigue life prediction

Based on linear cumulative damage thrust rod fatigue life pr...

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International Conference on Control, Automation and robotics (ICCAr)

作者： Guoyu Feng Wenku Shi Henghai Zhang Lulu Guo State Key Laboratory of Automotive Simulation and Control Jilin University Changchun China Aircraft Control Department Aviation University Air Force Changchun China China FAW Group Corporation R&D Center Changchun China

In order to predict the fatigue life of heavy-duty commercial vehicles thrust rod, dumbbell specimens made of rubber material and uniaxial tensile fatigue test. According to the specimen measured data, based on linear cumulative fatigue damage rule to the maximum principal strain injury parameters established rubber uniaxial fatigue life prediction model. In the longitudinal tension and compression loading, fatigue life V rod were predicted, and by the uniaxial fatigue test verification, the results show that the maximum principal strain prediction model, the maximum error is less than 10% predicted better results. Show that the method based on fatigue cumulative damage, establish spherical hinge rubber life model, can predict the fatigue life of the thrust rod. The method used in this paper for the design and improvement of the thrust rod can help.

关键词： Fatigue rubber Strain Stress Predictive models Finite element analysis Fasteners

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A vehicle adaptive cruise control algorithm based on simulating driver's multi-objective decision making

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Qiche Gongcheng/Automotive Engineering 2015年第6期37卷 667-673页

作者： Gao, Zhenhai Yan, Wei Li, Hongjian Hu, Zhencheng Jilin University State Key Laboratory of Automobile Simulation and Control Changchun130022 China China FAW Group Corporation R&D Center Changchun130011 China

According to the distance and relative velocity between host vehicle and preceding vehicle, the adaptive cruise control (ACC) system concurrently considers three correlated and contradictory performance indicators of driving safety between vehicles, longitudinal dynamics characteristics and the comfort performance of driver and occupants to achieve the control for maintaining safe inter-vehicle distance. Aiming at this multi-objective coordinated control problem, the behavior characteristics of real driver in inter-vehicle distance control are simulated under the framework of dynamic output feedback control and four indicators of safety, handiness, comfort and efficiency are set up based on the driving state and control variables of vehicle. Then a dynamic coordinated control mechanism for above-mentioned performance indicators is proposed based on invariant set and quadratic boundedness theory and a set of inter-vehicle distance control algorithms for ACC system are worked out. Finally simulations on three typical operation conditions (following and the cut-out and cut-in of preceding vehicle) are conducted to verify the feasibility and effectiveness of the proposed algorithms in safe inter-vehicle distance maintenance and multi-performance indicators coordination. ©, 2015, SAE-China. All right reserved.

关键词： Adaptive cruise control

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