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International Conference on Natural Computation, Fuzzy systems and Knowledge Discovery

作者： Jiangyu Yan Xiaoyan Wang Shuxian Li Liangrui Tang School of Control and Computer Engineering North China Electric Power University Beijing China State Grid East Inner-Mongolia Electric Power Company Limited State Grid East Inner-Mongolia Electric Power Company Limited Inner-Mongolia China State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources (North China Electric Power University) North China Electric Power University Beijing China

ISBN: (纸本)9781509040940

In order to meet the smart distribution grid's demand for communicating, a heterogeneous wireless network selection model is built. This model has 3 goals, real-time services' blocking rate, non-real-time services' mean transmission time, and network load. And the model is simulated by using the quantum clonal immune multi-objective optimization algorithm. Compared to the MLB algorithm and RBF-FNN algorithm, the simulating results show that the proposed algorithm has better performance in real-time service blocking rate, mean transmission time of non-real-time services and network load balancing.

关键词： Smart distribution grid Heterogeneous wireless network selection Multi-objective optimization

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Author Correction: The power of genetic diversity in genome-wide association studies of lipids

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Nature 2023年第7965期618卷 E19-E20页

作者： Sarah E Graham Shoa L Clarke Kuan-Han H Wu Stavroula Kanoni Greg J M Zajac Shweta Ramdas Ida Surakka Ioanna Ntalla Sailaja Vedantam Thomas W Winkler Adam E Locke Eirini Marouli Mi Yeong Hwang Sohee Han Akira Narita Ananyo Choudhury Amy R Bentley Kenneth Ekoru Anurag Verma Bhavi Trivedi Hilary C Martin Karen A Hunt Qin Hui Derek Klarin Xiang Zhu Gudmar Thorleifsson Anna Helgadottir Daniel F Gudbjartsson Hilma Holm Isleifur Olafsson Masato Akiyama Saori Sakaue Chikashi Terao Masahiro Kanai Wei Zhou Ben M Brumpton Humaira Rasheed Sanni E Ruotsalainen Aki S Havulinna Yogasudha Veturi QiPing Feng Elisabeth A Rosenthal Todd Lingren Jennifer Allen Pacheco Sarah A Pendergrass Jeffrey Haessler Franco Giulianini Yuki Bradford Jason E Miller Archie Campbell Kuang Lin Iona Y Millwood George Hindy Asif Rasheed Jessica D Faul Wei Zhao David R Weir Constance Turman Hongyan Huang Mariaelisa Graff Anubha Mahajan Michael R Brown Weihua Zhang Ketian Yu Ellen M Schmidt Anita Pandit Stefan Gustafsson Xianyong Yin Jian'an Luan Jing-Hua Zhao Fumihiko Matsuda Hye-Mi Jang Kyungheon Yoon Carolina Medina-Gomez Achilleas Pitsillides Jouke Jan Hottenga Gonneke Willemsen Andrew R Wood Yingji Ji Zishan Gao Simon Haworth Ruth E Mitchell Jin Fang Chai Mette Aadahl Jie Yao Ani Manichaikul Helen R Warren Julia Ramirez Jette Bork-Jensen Line L Kårhus Anuj Goel Maria Sabater-Lleal Raymond Noordam Carlo Sidore Edoardo Fiorillo Aaron F McDaid Pedro Marques-Vidal Matthias Wielscher Stella Trompet Naveed Sattar Line T Møllehave Betina H Thuesen Matthias Munz Lingyao Zeng Jianfeng Huang Bin Yang Alaitz Poveda Azra Kurbasic Claudia Lamina Lukas Forer Markus Scholz Tessel E Galesloot Jonathan P Bradfield E Warwick Daw Joseph M Zmuda Jonathan S Mitchell Christian Fuchsberger Henry Christensen Jennifer A Brody Mary F Feitosa Mary K Wojczynski Michael Preuss Massimo Mangino Paraskevi Christofidou Niek Verweij Jan W Benjamins Jorgen Engmann Rachel L Kember Roderick C Slieker Ken Sin Lo Nuno R Zilhao Phuong Le Marcus E Kleber Graciela E Delgado Shaofeng Huo Dai Department of Internal Medicine Division of Cardiology University of Michigan Ann Arbor MI USA. VA Palo Alto Health Care System Palo Alto CA USA. Department of Medicine Division of Cardiovascular Medicine Stanford University School of Medicine Stanford CA USA. Department of Computational Medicine and Bioinformatics University of Michigan Ann Arbor MI USA. William Harvey Research Institute Barts and the London School of Medicine and Dentistry Queen Mary University of London London UK. Department of Biostatistics and Center for Statistics Genetics University of Michigan Ann Arbor MI USA. Department of Genetics Perelman School of Medicine University of Pennsylvania Philadelphia PA USA. Clinical Pharmacology William Harvey Research Institute Barts and The London School of Medicine and Dentistry Queen Mary University of London London UK. Endocrinology Boston Children's Hospital Boston MA USA. Medical and Population Genetics Broad Institute Cambridge MA USA. Department of Genetic Epidemiology University of Regensburg Regensburg Germany. McDonnell Genome Institute and Department of Medicine Washington University St Louis MO USA. Department of Precision Medicine Division of Genome Science National Institute of Health Cheongju-si South Korea. Tohoku Medical Megabank Organization Tohoku University Sendai Japan. Sydney Brenner Institute for Molecular Bioscience Faculty of Health Sciences University of the Witwatersrand Johannesburg South Africa. Center for Research on Genomics and Global Health National Human Genome Research Institute National Institutes of Health Bethesda MD USA. Blizard Institute Barts and the London School of Medicine and Dentistry Queen Mary University of London London UK. Wellcome Sanger Institute Hinxton UK. Department of Epidemiology Emory University Rollins School of Public Health Atlanta GA USA. Atlanta VA Health Care System Decatur GA USA. Malcolm Randall VA Medical Center Gainesville FL USA. Division of Vascular Sur

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Global investments in pandemic preparedness and COVID-19: development assistance and domestic spending on health between 1990 and 2026

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The Lancet Global Health 2023年第3期11卷 e385-e413页

作者： Micah, Angela E. Bhangdia, Kayleigh Cogswell, Ian E. Lasher, Dylan Lidral-Porter, Brendan Maddison, Emilie R. Nguyen, Trang Nhu Ngoc Patel, Nishali Pedroza, Paola Solorio, Juan Stutzman, Hayley Tsakalos, Golsum Wang, Yifeng Warriner, Wesley Zhao, Yingxi Zlavog, Bianca S. Abbafati, Cristiana Abbas, Jaffar Abbasi-Kangevari, Mohsen Abbasi-Kangevari, Zeinab Abdelmasseh, Michael Abdulah, Deldar Morad Abedi, Aidin Abegaz, Kedir Hussein Abhilash, E.S. Aboagye, Richard Gyan Abolhassani, Hassan Abrigo, Michael R.M. Abubaker Ali, Hiwa Abu-Gharbieh, Eman Adem, Mohammed Hussien Afzal, Muhammad Sohail Ahmadi, Ali Ahmed, Haroon Ahmed Rashid, Tarik Aji, Budi Akbarialiabad, Hossein Akelew, Yibeltal Al Hamad, Hanadi Alam, Khurshid Alanezi, Fahad Mashhour Alanzi, Turki M. Al-Hanawi, Mohammed Khaled Alhassan, Robert Kaba Aljunid, Syed Mohamed Almustanyir, Sami Al-Raddadi, Rajaa M. Alvis-Guzman, Nelson Alvis-Zakzuk, Nelson J. Amare, Azmeraw T. Ameyaw, Edward Kwabena Amini-Rarani, Mostafa Amu, Hubert Ancuceanu, Robert Andrei, Tudorel Anwar, Sumadi Lukman Appiah, Francis Aqeel, Muhammad Arabloo, Jalal Arab-Zozani, Morteza Aravkin, Aleksandr Y. Aremu, Olatunde Aruleba, Raphael Taiwo Athari, Seyyed Shamsadin Avila-Burgos, Leticia Ayanore, Martin Amogre Azari, Samad Baig, Atif Amin Bantie, Abere Tilahun Barrow, Amadou Baskaran, Pritish Basu, Sanjay Batiha, Abdul-Monim Mohammad Baune, Bernhard T. Berezvai, Zombor Bhardwaj, Nikha Bhardwaj, Pankaj Bhaskar, Sonu Boachie, Micheal Kofi Bodolica, Virginia Botelho, João Silva Botelho Braithwaite, Dejana Breitborde, Nicholas J.K. Busse, Reinhard Cahuana-Hurtado, Lucero Catalá-López, Ferrán Chansa, Collins Charan, Jaykaran Chattu, Vijay Kumar Chen, Simiao Chukwu, Isaac Sunday Dadras, Omid Dandona, Lalit Dandona, Rakhi Dargahi, Abdollah Debela, Sisay Abebe Denova-Gutiérrez, Edgar Desye, Belay Dharmaratne, Samath Dhamminda Diao, Nancy Doan, Linh Phuong Dodangeh, Milad dos Santos, Wendel Mombaque Doshmangir, Leila Dube, John Eini, Ebrahim El Sayed Zaki, Maysaa El Tantawi, Maha Enyew, Daniel Berhanie Institute for Health Metrics and Evaluation University of Washington Seattle WA United States Department of Applied Mathematics University of Washington Seattle WA United States Department of Health Metrics Sciences School of Medicine University of Washington Seattle WA United States Nuffield Department of Medicine University of Oxford Oxford United Kingdom Department of Juridical and Economic Studies La Sapienza University Rome Italy Antai College of Economics Shanghai Jiao Tong University Shanghai China Non-communicable Diseases Research Center Tehran University of Medical Sciences Tehran Iran Research Center for Immunodeficiencies Tehran University of Medical Sciences Tehran Iran Multiple Sclerosis Research Center Tehran University of Medical Sciences Tehran Iran Children’s Medical Center Tehran University of Medical Sciences Tehran Iran Department of Epidemiology and Biostatistics Tehran University of Medical Sciences Tehran Iran Tehran Heart Center Tehran University of Medical Sciences Tehran Iran Faculty of Medicine Tehran University of Medical Sciences Tehran Iran National Institute for Health Research Tehran University of Medical Sciences Tehran Iran Department of Pharmacology Tehran University of Medical Sciences Tehran Iran Department of Cardiology Tehran University of Medical Sciences Tehran Iran Sina Trauma and Surgery Research Center Tehran University of Medical Sciences Tehran Iran Digestive Diseases Research Institute Tehran University of Medical Sciences Tehran Iran Department of Neurology Tehran University of Medical Sciences Tehran Iran Social Determinants of Health Research Center Shahid Beheshti University of Medical Sciences Tehran Iran Department of Epidemiology Shahid Beheshti University of Medical Sciences Tehran Iran Department of Health Economics and Statistics Shahid Beheshti University of Medical Sciences Tehran Iran Department of Neurosurgery Shahid Beheshti University of Medical Sciences Tehran Iran Ophthalmic R

Background: The COVID-19 pandemic highlighted gaps in health surveillance systems, disease prevention, and treatment globally. Among the many factors that might have led to these gaps is the issue of the financing of national health systems, especially in low-income and middle-income countries (LMICs), as well as a robust global system for pandemic preparedness. We aimed to provide a comparative assessment of global health spending at the onset of the pandemic;characterise the amount of development assistance for pandemic preparedness and response disbursed in the first 2 years of the COVID-19 pandemic;and examine expectations for future health spending and put into context the expected need for investment in pandemic preparedness. Methods: In this analysis of global health spending between 1990 and 2021, and prediction from 2021 to 2026, we estimated four sources of health spending: development assistance for health (DAH), government spending, out-of-pocket spending, and prepaid private spending across 204 countries and territories. We used the Organisation for Economic Co-operation and Development (OECD)'s Creditor Reporting system (CRS) and the WHO Global Health Expenditure Database (GHED) to estimate spending. We estimated development assistance for general health, COVID-19 response, and pandemic preparedness and response using a keyword search. Health spending estimates were combined with estimates of resources needed for pandemic prevention and preparedness to analyse future health spending patterns, relative to need. Findings: In 2019, at the onset of the COVID-19 pandemic, US$9·2 trillion (95% uncertainty interval [UI] 9·1–9·3) was spent on health worldwide. We found great disparities in the amount of resources devoted to health, with high-income countries spending $7·3 trillion (95% UI 7·2–7·4) in 2019;293·7 times the $24·8 billion (95% UI 24·3–25·3) spent by low-income countries in 2019. That same year, $43·1 billion in development assistance was provided

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Model Checking of Software Development in Distributed Animation Rendering system

Model Checking of Software Development in Distributed Animat...

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2015 4th National Conference on Electrical,Electronics and computer Engineering(NCEECE 2015)

作者： Zhiguo Hong Yongbin Wang Minyong Shi School of Computer Faculty of Science and EngineeringCommunication University of China Key Laboratory of Acoustic Visual Technology and Intelligent Control System Ministry of Culture Beijing Key Laboratory of Modern Entertainment Technology

ISBN: (纸本)9781510819085

Distributed animation rendering systems are used to speed up of rendering i.e the computational-intensive phase of producing animation. How to develop softwares with high availability and efficiency is a hot topic in distributed animation rendering systems. In this paper, based on model checking method for system modeling, three modules(i.e. rendering management server, rendering nodes and storage system) are modeled and analyzed. Firstly, by analyzing the system's typical infrastructure, messages-driven finite state machines of such three modules are studied. Then, the properties of such three modules are described using CTL(Computational Tree Logic). Furthermore, safety and livenesses are verified with SMV(Symbolic Model Verification). The methodology of this paper offers important theoretical guide to software development.

关键词： model checking animation rendering SMV the state machine

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A Simulation Platform for Characteristic Model-Based Adaptive control systems

A Simulation Platform for Characteristic Model-Based Adaptiv...

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第三十四届中国控制会议

作者： Liangren Shi Zongli Lin Yuanlong Li Department of Automation and Key Laboratory of System Control and Information ProcessingShanghai Jiao Tong University Charles L. Brown Department of Electrical and Computer Engineering University of Virginia

ISBN: (纸本)9781467374439

Characteristic modeling and the adaptive control design based on it have attracted increasing attention from the research community due to their many successful practical applications that have been reported. This paper presents a Matlab simulation platform that has been developed to facilitate the study of characteristic model based adaptive control systems. The simulation platform consists of two interweaving components: for a given continuous-time linear time-invariant plant, represented by a transfer function, and a specified sampling period, the simulation platform calculates a discretized model of the plant, and the corresponding characteristic model, and with a specified set of initial conditions of the characteristic model and its coefficients, along with the specified duration of simulation and reference input, the simulation platform will adaptively tune the coefficients of the characteristic model and calculate the outputs of the plant and the characteristic model. All the data needed for the simulation will be entered through a graphic user interface, which also plots the evolution of the outputs of the plant and the characteristic model as well as the evolution of the coefficients of the characteristic model. The simulation results can also be saved for off line plotting and analysis through the graphic user interface.

关键词： Characteristic model,adaptive control,simulation

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GA and ACO-based Hybrid Approach for Continuous Optimization

GA and ACO-based Hybrid Approach for Continuous Optimization

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2015 International Conference on Modeling, Simulation and Applied Mathematics（MSAM 2015）

作者： Zhiqiang Chen Ronglong Wang Chongqing Engineering Laboratory for Detection Control and Integrated System School of Computer Science and Information Engineering Chongqing Technology and Business University Country Graduate School of Engineering University of Fukui

ISBN: (纸本)9781510811980

This paper presents an hybrid algorithm based on genetic algorithm and ant colony optimization for continuous optimization,which combines the global exploration ability of the former with the local exploiting ability of the *** proposed algorithm is evaluated on several benchmark *** simulation results show that the proposed algorithm performs quite well and outperforms classical ant colony optimization and genetic algorithm for continuous optimization,which efficiently balances two contradictory aspects of its performance: exploration and exploitation.

关键词： component hybird GA ACO continuous Optimization

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A Novel Set of Driving Style Risk Evaluation Index system for UBI-Based Differentiated Commercial Vehicle Insurance in China 15

A Novel Set of Driving Style Risk Evaluation Index System fo...

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15th COTA International Conference of Transportation Professionals: Efficient, Safe, and Green Multimodal Transportation, CICTP 2015

作者： Zheng, Wenyi Nai, Wei Zhang, Fangqi Qin, Weiyang Dong, Decun Key Laboratory of Road and Traffic Engineering Ministry of Education Tongji University Shanghai201804 China School of Computer Science and Communication Engineering Jiangsu University Zhenjiang Jiangsu China Postdoctoral Research Station of Control Science and Engineering Tongji University Shanghai201804 China Cooperative Center for Maglev and Rail Transit Operation Control System Tongji University Shanghai201804 China Shanghai R and D Institute China Telecom Shanghai200122 China

ISBN: (数字)9780784479292

ISBN: (纸本)9780784479292

Usage based insurance (UBI) for vehicles, or sometimes pay-how-you-drive (PHYD) as it is usually called, which fuses information and telecommunication technologies, can not only enhance the accuracy of underwriting, solve the severe homogeneity problem in vehicle insurance products for insurance companies, but can eliminate the cross-subsidies from vehicles of low risk to those of higher risk, as well. However, till now, researches of driving style evaluation method are mainly for fuel consumption control or to analyze road traffic conditions. It is hard to find reports on dedicated methods for UBI premium actuary purposes. Consider that China is a country which has a huge territory with different city landforms and traffic situations. There is an urgent requirement to establish a theory structure based on UBI implementations, and to establish a theory system for autonomous driving style evaluation methods. In this paper, a novel set of risk evaluation index systems of driving style for the UBI based differentiated commercial vehicle insurance for cities on the plains in China has been proposed. d via a real vehicle driving example analysis, the objectiveness and effectiveness the proposed dynamic driving evaluation index system has been proved. © ASCE.

关键词： Commercial vehicles

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Partial discharge type recognition for transformers based on Fisher discriminant method

Partial discharge type recognition for transformers based on...

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International Conference on Estimation, Detection and Information Fusion (ICEDIF)

作者： Li Li Yongli Zhu Min Lu Liuwang Wang Yaqi Song School of Control and Computer Engineering North China Electric Power University Baoding China State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources North China Electric Power University China Zhejiang Power Dispatching & Control Center China School of Control and Computer Engineering North China Electric Power University China

Towards the problem of low rate of partial discharge (PD) recognition caused by lack of effective train samples, Fisher discriminant method is applied to improve recognition rate of PD for transformer. The discharge data produced by four PD models is collected, from which forty-four statistical characteristics are extracted. In order to solve the problem of singular matrix due to the high dimension, an effective dimension-reduced strategy is put forward. Forty-four characteristics are divided into seven low-dimensional subgroups, which become the input data for seven classifiers constructed by Fisher discriminant method. The PD type of the test samples is identified as that voted by results of seven classifiers. Results show that, in contrast to the back-propagation network method, the proposed method is more stable and possesses higher recognition rate under the condition of limited training samples, thus with good practical values.

关键词： Partial discharges Character recognition Power transformer insulation Insulation Feature extraction Discharges (electric) Spectrogram

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Regional Pole Placement of a Markovian jump Model for Wind Turbine Generator system

Regional Pole Placement of a Markovian jump Model for Wind T...

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IEEE Annual Conference on Decision and control

作者： Zhongwei Lin Jizhen Liu Yuguang Niu State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources School of Control and Computer Engineering North China Electric Power University Beijing 102206 P. R. China

ISBN: (纸本)9781479978878

This paper discusses the regional pole placement problem for Markovian jump system, and the corresponding application on wind turbine generator system (WTGS). Through sampling the low-frequency wind speed datas into separate intervals, the dynamic process of WTGS can be modelled into Markovian jump system. The traditional operating points of wind turbine are divided into separate subregions correspondingly, where the model parameters and the control mode can be fixed in each mode. However, the control designed for each operating subregion can not guarantee the whole dynamic response performance of WTGS, which is caused by the stochastic switchings between different system modes. Hence, the pole placement problem is discussed for linear Markovian jump systems, and applied on improving the dynamics response of WTGS.

关键词： pole assignment Wind Generators jump control modes model parameters Wind Energy Conversion systems

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An improved MPS algorithm for optimal scheduling of aircraft arrivals at congested airports

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Journal of Information and Computational Science 2014年第12期11卷 4121-4131页

作者： Liu, Hong Yang, Hongyu Dai, Wei Yu, Yongwu National Key Laboratory of Air Traffic Control Automation System Technology Department of College of Computer Science Sichuan University Chengdu China Department of College of Computer Science Neijiang Normal University Neijiang China

This paper presents an improved aircraft arrival sequencing and scheduling model, and designs a new efficient algorithm to optimize the arrival traffic flow at the Terminal Radar Approach control (TRACON) area. It has three steps: Firstly the aircrafts in same route are united into groups, then the position-matrix is created according to a series of ATC (Air Traffic control) constraints, finally the solution space tree is built to search the optimal sequence. The algorithm also take into account Max Position Shift (MPS) and wake vortex separations. Finally the algorithm is validated with practical data, the results shows the computing scale is small and the proportion of continuous landing aircrafts in final sequence is more in contrast to other algorithms, it is more convenient for the operation of controllers. © 2014 Binary Information Press

关键词： Air traffic control

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