检索结果-内蒙古大学图书馆

作者： Li, Zuoyong Yu, Zhaochai Liu, Weixia Xu, Yong Zhang, Daoqiang Cheng, Yong Fujian Provincial Key Laboratory of Information Processing and Intelligent Control Minjiang University Fuzhou350121 China The Fujian College's Research Base of Humanities and Social Science for Internet Innovation Research Center Minjiang University Fuzhou350121 China Straits Institute Minjiang University Fuzhou350121 China Bio-Computing Research Center Shenzhen Graduate School Harbin Institute of Technology Shenzhen518055 China Department of Computer Science and Engineering Nanjing University of Aeronautics and Astronautics Nanjing210016 China School of Communication Engineering Nanjing Institute of Technology Nanjing211167 China

Tongue image segmentation is a crucial step in developing an automatic tongue diagnosis system. After exploring characteristics of image thresholding in different color spaces, we propose a simple and effective tongue image segmentation method. Specifically, the proposed method first extracts an initial tongue body region by performing image thresholding on the transformed hue component in HSI (Hue, Saturation, and Intensity) color space. Then, one of two image thresholding results on the red component of an original tongue image is adaptively selected to find the gap region between the tongue body root and the upper lip. Finally, the initial tongue body region is refined by removing fake object regions such as the upper lip to obtain final tongue image segmentation result. Experimental results on a tongue image dataset containing 200 subjects demonstrate the effectiveness of the proposed method. © 2018 John Wiley & Sons, Ltd.

关键词： Image segmentation

来源：评论

学校读者我要写书评

暂无评论

Inference and prediction of malaria transmission dynamics using time series data

引用

Infectious Diseases of Poverty 2020年第4期9卷 84-96页

作者： Benyun Shi Shan Lin Qi Tan Jie Cao Xiaohong Zhou Shang Xia Xiao-Nong Zhou Jiming Liu School of Computer Science and Technology Nanjing Tech UniversityNanjing 211800JiangsuChina College of Information Engineering Nanjing University of Finance&EconomicsNanjing 210003JiangsuChina Department of Computer Science Hong Kong Baptist UniversityKowloonHong Kong Department of Pathogen Biology School of Public HealthSouthern Medical UniversityGuangzhou 510515GuangdongChina National Institute of Parasitic Diseases Chinese Center for Diseases Control and PreventionShanghai 200025China Key Laboratory of Parasite and Vector Biology National Health Commission of the People Republic of ChinaShanghai 200025China Chinese Center for Tropical Disease Research Shanghai 200025China World Health Organization Collaborating Centre for Tropical Diseases Shanghai 200025China

Background:Disease surveillance systems are essential for effective disease intervention and control by monitoring disease prevalence as time *** evaluate the severity of an epidemic,statistical methods are widely used to forecast the trend,seasonality,and the possible number of infections of a ***,most statistical methods are limited in revealing the underlying dynamics of disease transmission,which may be affected by various impact factors,such as environmental,meteorological,and physiological *** this study,we focus on investigating malaria transmission dynamics based on time series ***:A data-driven nonlinear stochastic model is proposed to infer and predict the dynamics of malaria transmission based on the time series of prevalence ***,the dynamics of malaria transmission is modeled based on the notion of vectorial capacity(VCAP)and entomological inoculation rate(EIR).A particle Markov chain Monte Carlo(PMCMC)method is employed to estimate the model ***,a one-step-ahead prediction method is proposed to project the number of future malaria ***,two case studies are carried out on the inference and prediction of Plasmodium vivax transmission in Tengchong and Longling,Yunnan province,***:The results show that the trained data-driven stochastic model can well fit the historical time series of *** prevalence data in both counties from 2007 to ***,with well-trained model parameters,the proposed one-step-ahead prediction method can achieve better performances than that of the seasonal autoregressive integrated moving average model with respect to predicting the number of future malaria ***:By involving dynamically changing impact factors,the proposed data-driven model together with the PMCMC method can successfully(i)depict the dynamics of malaria transmission,and(ii)achieve accurate one-step-ahead prediction about malaria *** a data-

关键词： malaria prediction dynamics

来源：评论

学校读者我要写书评

暂无评论

Statistical Approach to Detection of Attacks for Stochastic Cyber-Physical Systems

引用

IFAC-PapersOnLine 2018年第25期51卷 178-183页

作者： Marelli, Damián Sui, Tianju Fu, Minyue School of Automation Guandong University of Technology China French-Argentinean International Center for Information and Systems Sciences National Scientific and Technical Research Council Argentina Department of Control Science and Engineering Dalian University of Technology China School of Electrical Engineering and Computer Science University of Newcastle Australia

We study the problem of detecting an attack on a stochastic cyber-physical system. We start by proposing a detection criterion based on checking the statistics of the Kalman prediction error. To show the importance of the proposed criterion, we study certain attacking schemes which can be effectively detected by this criterion, but not by checking simpler conditions based on commonly used statistics. We then use the proposed criterion to derive a detection algorithm. This algorithm is based on a statistical confidence test, giving a confidence level for detecting an attack. We present simulation results to illustrate the performance of this algorithm. © 2018

关键词： computer crime Cyber Physical System Embedded systems Error statistics Linear systems Statistics Stochastic systems Testing Attack detection Detection algorithm Detection of attacks Integrity attacks Statistical approach Statistical confidence Statistical hypothesis testing System security

来源：评论

学校读者我要写书评

暂无评论

Enhanced valley zeeman splitting in fe-doped monolayer mos2

arXiv

引用

arXiv 2020年

作者： Li, Qi Zhao, Xiaoxu Deng, Longjiang Shi, Zhongtai Liu, Sheng Wei, Qilin Zhang, Linbo Cheng, Yingchun Zhang, Li Lu, Haipeng Gao, Weibo Huang, Wei Qiu, Cheng-Wei Xiang, Gang Pennycook, Stephen John Xiong, Qihua Loh, Kian Ping Peng, Bo National Engineering Research Center of Electromagnetic Radiation Control Materials School of Electronic Science and Engineering University of Electronic Science and Technology of China Chengdu611731 China Department of Materials Science and Engineering National University of Singapore 9 Engineering Drive 1 117575 Singapore Department of Chemistry Centre for Advanced 2D Materials Graphene Research Centre National University of Singapore 117549 Singapore Division of Physics and Applied Physics School of Physical and Mathematical Sciences Nanyang Technological University 637371 Singapore Key Laboratory of Flexible Electronics Institute of Advanced Materials Nanjing Tech University Nanjing211816 China College of Physical Science and Technology Sichuan University Chengdu610064 China Department of Electrical and Computer Engineering National University of Singapore 117583 Singapore

The "Zeeman effect" offers unique opportunities for magnetic manipulation of the spin degree of freedom (DOF). Recently, valley Zeeman splitting, referring to the lifting of valley degeneracy, has been demonstrated in two-dimensional transition metal dichalcogenides (TMDs) at liquid helium temperature. However, to realize the practical applications of valley pseudospins, the valley DOF must be controllable by a magnetic field at room temperature, which remains a significant challenge. Magnetic doping in TMDs can enhance the Zeeman splitting, however, to achieve this experimentally is not easy. Here, we report unambiguous magnetic manipulation of valley Zeeman splitting at 300 K (geff = -6.4) and 10 K (geff = -11) in a CVD-grown Fe-doped MoS2 monolayer;the effective Landé geff factor can be tuned to -20.7 by increasing the Fe dopant concentration, which represents an approximately fivefold enhancement as compared to undoped MoS2. Our measurements and calculations reveal that the enhanced splitting and geff factors are due to the Heisenberg exchange interaction of the localized magnetic moments (Fe 3d electrons) with MoS2 through the d-orbital hybridization. Copyright © 2020, The Authors. All rights reserved.

关键词： Landforms

来源：评论

学校读者我要写书评

暂无评论

The vulnerability of cyber-physical system under stealthy attacks

arXiv

引用

arXiv 2020年

作者： Sui, Tianju Mo, Yilin Marelli, Damián Sun, Ximing Fu, Minyue School of Control Science and Engineering Dalian University of Technology Dalian China Department of Automation Tsinghua University Beijing China School of Automation Guangdong University of Technology Guangzhou China French Argentine International Center for Information and Systems Sciences National Scientific and Technical Research Council Argentina School of Electrical Engineering and Computer Science University of Newcastle CallaghanNSW2308 Australia School of Automation Guandong University of Technology China

In this paper, we study the impact of stealthy attacks on the Cyber-Physical System (CPS) modeled as a stochastic linear system. An attack is characterised by a malicious injection into the system through input, output or both, and it is called stealthy (resp. strictly stealthy) if it produces bounded changes (resp. no changes) in the detection residue. Correspondingly, a CPS is called vulnerable (resp. strictly vulnerable) if it can be destabilized by a stealthy attack (resp. strictly stealthy attack). We provide necessary and sufficient conditions for the vulnerability and strictly vulnerability. For the invulnerable case, we also provide a performance bound for the difference between healthy and attacked system. Numerical examples are provided to illustrate the theoretical results. Copyright © 2020, The Authors. All rights reserved.

关键词： Embedded systems

来源：评论

学校读者我要写书评

暂无评论

Publisher’s Note: “Evidences of thermoelectrically driven unidirectional magnetoresistance from a single Weyl ferromagnet Co2MnGa” [APL Mater. 11, 121109 (2023)]

引用

APL Materials 2024年第1期12卷

作者： Bin Rong Lizhu Ren Yizhe Liu Bo Sun Jiaxin Chen Kie Leong Teo Liang Liu Yumeng Yang b) School of Information Science and Technology ShanghaiTech University Shanghai 201210 China Department of Electrical and Computer Engineering National University of Singapore 117576 Singapore Tsinghua-Berkeley Shenzhen Institute Tsinghua University Shenzhen 518055 China Key Laboratory of Artificial Structures and Quantum Control (Ministry of Education) Tsung-Dao Lee Institute School of Physics and Astronomy Shanghai Jiao Tong University Shanghai 200240 China Hefei National Laboratory Hefei 230088 China Shanghai Research Center for Quantum Sciences 99 Xiupu Road Shanghai 201315 China

This article was published online on December 15, 2023, with errors in the author and affiliation lists; several authors were linked to incorrect affiliations.

关键词：

来源：评论

学校读者我要写书评

暂无评论

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

引用

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.

关键词：

来源：评论

学校读者我要写书评

暂无评论

Navigation with Multi-obstacle Avoidance Composed of Stochastic Optimal controllers

Navigation with Multi-obstacle Avoidance Composed of Stochas...

引用

American control Conference (ACC)

作者： Alexey A. Munishkin Dejan Milutinović David W. Casbeer Electrical and Computer Engineering Department University of California Santa Cruz CA USA Control Science Center of Excellence Air Force Research Laboratory Wright-Patterson AFB OH

ISBN: (纸本)9781538679012;9781538679265

Avoiding collisions with obstacles is of fundamental importance for the safe navigation of unmanned aerial vehicles (UAVs) and mobile robots. In this paper, we approach the avoidance problem by composing a scalable navigation strategy from multiple stochastic optimal controllers. We consider a scenario with a fixed speed Dubins vehicle, which is tasked to reach a waypoint while avoiding collisions with multiple moving obstacles. Obstacle moving directions are unknown, therefore, we use a random walk stochastic process model to anticipate that uncertainty in the design of navigation feedback control. The proposed navigation is based on a composition of minimum time stochastic optimal controllers. Each optimal controller is the solution to a minimum time problem to reach either the waypoint or a safe configuration with respect to an obstacle. The composition is based on the controller value functions and is scalable, i.e., it can deal with any number of obstacles. Our results are illustrated with a numerical simulation.

关键词： Navigation Optimal control Stochastic processes Collision avoidance Unmanned aerial vehicles Uncertainty Mobile robots

来源：评论

学校读者我要写书评

暂无评论

A Review of Collaborative Innovation among University,Industry,and Government from the Perspective of Coupling

A Review of Collaborative Innovation among University,Indust...

引用

作者： Genping Yu Di Chen Zuoyong Li Zhongyan Lin Internet Innovation Research Center-the College's Research Base of Humanities and Social Science in Fujian Province Minjiang University Scientific Research Administrative Department of Minjiang University College of Computer and Control Engineering Minjiang University

University is not only the primary unit of training talents but also an essential part of the national innovation *** paper will research the university industry-academia-research collaboration literature review,through further statement and explanation of the industry-academia-research collaboration *** the coupling relationship between the three major innovations of universities,industries,and governments,enhance the contribution of university science and technology innovation application ability and service society *** promote the construction of regional science and technology cooperation platform and the coordinated development of multilateral technology systems.

关键词： University Industry Government Collaborative innovation

来源：评论

学校读者我要写书评

暂无评论

Prioritization in automotive software testing: Systematic literature review 6

Prioritization in automotive software testing: Systematic li...

引用

6th International Workshop on Quantitative Approaches to Software Quality, QuASoQ 2018

作者： Dadwal, Ankush Washizaki, Hironori Fukazawa, Yoshiaki Iida, Takahiro Mizoguchi, Masashi Yoshimura, Kentaro Department of Computer Science and Engineering Waseda University Tokyo Japan Control Platform Research Department Center for Technology Innovation - Controls Hitachi Ltd. Research and Development Group United States

Automotive Software Testing is a vital part of the automotive systems development process. Not identifying the critical safety issues and failures of such systems can have serious or even fatal consequences. As the number of embedded systems and technologies increases, testing all components becomes more challenging. Although testing is expensive, it is important to reduce bugs in an early stage to maintain safety and to avoid recalls. Hence, the testing time should be reduced without impacting the reliability. Several studies and surveys have prioritized Automotive Software Testing to increase its effectiveness. The main goals of this study are to identify: (i) the publication trends of prioritization in Automotive Software Testing, (ii) which methods are used to prioritize Automotive Software Testing, (iii) the distribution of studies based on the quality evaluation, and (iv) how existing research on prioritization helps optimize Automotive Software Testing. Copyright © 2018 for this paper by its authors.

关键词： Software testing

来源：评论

学校读者我要写书评

暂无评论

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案：

请选择收藏分类：

通借通还

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：