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Optimization Oriented Performance Assessment for Combustion Process of Coke Oven

IFAC-PapersOnLine 2017年第1期50卷 13778-13783页

作者： Lei, Qi Wu, Min Liu, Guoping School of Information Science and Engineering Central South University ChangshaHunan410083 China School of Automation China University of Geosciences WuhanHubei430074 China School of Engineering University of Southwales PontypriddCF37 1DL United Kingdom Hubei key Laboratory of Advanced Control and Intelligent Automation for Complex Systems WuhanHubei430074 China CTGT Center Harbin Institute of Technology HaerbinHeilongjiang150001 China

This paper presents an optimization oriented performance assessment method for combustion process of coke oven by integrating analytic hierarchical process (AHP) and intuitionistic fuzzy(IF) set. An AHP model is built up including safety, stability and economic considerations. To handle the complexity in the combustion process of coke oven, where the decision maker usually has some uncertainty in assigning preference values to the index considered, the IF set is used to obtain the IF preference. Entropy and cross entropy are applied to calculate the weights of the individual indices. The comprehensive evaluation method integreated the AHP and IF can effectively solve the performance assessment for the combustion process of the coke oven. Finally, the data obtained from the process model in different operating conditions are used to demonstrate the effectiveness. © 2017

关键词： Coke ovens Coke Combustion Decision making Fuzzy sets Hierarchical systems Analytic hierarchical process Combustion pro cess Comprehensive evaluation Different operating conditions Economic considerations Entropy methods Intuitionistic fuzzy Performance assessment

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MM-PBSA: Challenges and opportunities 10

MM-PBSA: Challenges and opportunities

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10th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics, CISP-BMEI 2017

作者： Do Vale Hipolito Cavalheiro, Joao Pedro Pires, Nuno Miguel Matos Dong, Tao Institute of Applied Micro-Nano Science and Technology-IAMNST Chongqing Key Laboratory of Colleges Universities On Micro-Nano Systems Technology and Smart Transducing Chongqing Engineering Laboratory for Detection Control and Integrated System National Research Base of Intelligent Manufacturing Service Chongqing Technology and Business University Chongqing China Department of Microsystems-IMS Faculty of Technology Natural Sciences and Maritime Sciences University College of Southeast Norway Kongsberg Norway P.O. Box 5003 ÅsN-1432 Norway

ISBN: (纸本)9781538619377

Molecular Mechanics Poisson-Boltzmann Surface Area (MM-PBSA) is arguably the most popular method for free binding energy prediction since it is considerably more accurate than docking or scoring methods, but considerably less demanding than Free Energy Perturbation (FEP). In this review, the most important challenges and opportunities associated to this method were addressed and evaluated. The following conclusions were obtained: Accuracy of MM-PBSA calculations still strongly depends on the settings used for the prediction, the conditions in which Molecular Dynamics simulations (MD) are made, the conditions from which the experimental data are obtained, it depends on the presence of the complex structure and this method has also shown to be unable to provide accurate results for charged molecules. On the other hand, it presents many opportunities since many improvements were based on MM-PBSA calculations such as Single Amino Acid Mutation based change in Binding free Energy (SAAMBE), bootstrap, dampened Molecular Mechanics Poisson-Boltzmann Surface Area (dMM-PBSA), a high throughput method called g-mmpbsa, a method based on both MM-PBSA calculations and a scoring function, force fields for inhomogeneous protein specific environments and many other new ways of improving the accuracy of this promising method. This study intends to clarify what are the major trends in this field and thus contribute to increase MM-PBSA's applicability and efficiency. © 2017 IEEE.

关键词： Molecular dynamics

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Modeling collective behavior of posting microblog by stochastic differential equation with jump

arXiv

引用

arXiv 2017年

作者： Pan, Jun-Shan Li, Yuan-Qi Liu, Xiang Hu, Han-Ping Hu, Yong School of Automation and School of Physics Huazhong University of Science and Technology Wuhan430074 China Key Laboratory of Image Processing and Intelligent Control of Education Ministry Huazhong University of Science and Technology Wuhan430074 China

The characterization and understanding of online social network behavior is of importance from both the points of view of fundamental research and realistic utilization. In this manuscript, we propose a stochastic differential equation to describe the online microblogging behavior. Our analysis is based on the microblog data collected from Sina Weibo which is one of the most popular microblogging platforms in China. Especially, we focus on the collective nature of the microblogging behavior reflecting itself in the analyzed data as the characters of the periodic pattern, the stochastic fluctuation around the baseline, and the extraordinary jumps. Compared with existing works, we use in our model time dependent parameters to facilitate the periodic feature of the microblogging behavior and incorporate a compound Poisson process to describe the extraordinary spikes in the Sina Weibo volume. Such distinct merits lead to significant improvement in the prediction performance, thus justifying the validity of our model. This work may offer potential application in the future detection of the anomalous behavior in online social network platforms. Copyright © 2017, The Authors. All rights reserved.

关键词： Differential equations

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Distributed control of heterogeneous linear multi-agent systems by intermittent event-triggered control

Distributed control of heterogeneous linear multi-agent syst...

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Youth Academic Annual Conference of Chinese Association of Automation (YAC)

作者： Yan Lei Yan-Wu Wang Hua Chen Xiao-Kang Liu Huazhong University of Science and Technology Wuhan Hubei CN Mathematics and Physics Department Hohai Universtiy Changzhou China Key Laboratory of Image Processing and Intelligent Control(Huazhong University of Science and Technology) Ministry of Education

ISBN: (纸本)9781538629024

In this paper, the leader-following output consensus problem of heterogeneous linear systems(MASs) is addressed. A distributed intermittent event-triggered protocol is designed, where the information interaction among agents only occurs under a local triggering condition within some certain time intervals. As a result, it saves the energy for communication and reduces the number of control updates. In aid of the Lyapunov functional method, some sufficient conditions are derived to achieve the leader-following consensus and the result is further extended to the formation control problem. Finally, numerical examples are provided to demonstrate the effectiveness of the theoretical results.

关键词： Multi-agent systems Linear systems Laplace equations Eigenvalues and eigenfunctions Riccati equations Decentralized control Automation

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VEHICLE DATA PROCESSING AND ANALYSIS PLATFORM BASED ON SPARK

VEHICLE DATA PROCESSING AND ANALYSIS PLATFORM BASED ON SPARK

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2017 2nd World Symposium on Mechanical and control Engineering（WSMCE 2017）

作者： Xiaolan Xie Tianwei Yuan Xiao Zhou College of Information Science and Engineering Guilin University of Technology Guangxi Universities Key Laboratory of Embedded Technology and Intelligent Information Processing Guilin University of Technology College of Mechanical and Control Engineering Guilin University of Technology

Based on the Spark big data analysis platform, using Yarn management resource scheduling problem, using Hbase as the storage mode of distributed data. Through the mass of car data, dig out the key factors that affect the safety of car performance, and show in the form of visualization. An effective scheme is put forward for the maintenance and fault detection of the user's vehicle. The experimental results show that the analysis method based on Spark platform can quickly, effectively and accurately analyze the key information and play a guiding and analytical role for users.

关键词： Vehicle Spark Hbase Platform

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Spike-burst chimera states in an adaptive exponential integrate-and-fire neuronal network

arXiv

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arXiv 2019年

作者： Santos, Moises S. Protachevicz, Paulo R. Iarosz, Kelly C. Caldas, Iberê L. Viana, Ricardo L. Borges, Fernando S. Ren, Hai-Peng Szezech, José D. Batista, Antonio M. Grebogi, Celso Department of Physics Federal University of Paraná CuritibaPR80060-000 Brazil Graduate in Science Program - Physics State University of Ponta Grossa Ponta Grossa PR84030-900 Brazil Institute of Physics University of São Paulo São PauloSP05508-900 Brazil Center for Mathematics Computation and Cognition Federal University of ABC São Bernardo do CampoSP09606-045 Brazil Shaanxi Key Laboratory of Complex System Control and Intelligent Information Processing Xian University of Technology Xi'an710048 China Xian Technological University Xi'an710021 China Graduate in Science Program - Physics State University of Ponta Grossa Ponta Grossa PR84030-900 Brazil Institute for Complex Systems and Mathematical Biology King's College University of Aberdeen AberdeenAB24 3UE United Kingdom

Chimera states are spatiotemporal patterns in which coherence and incoherence coexist. We observe the coexistence of synchronous (coherent) and desynchronous (incoherent) domains in a neuronal network. The network is composed of coupled adaptive exponential integrate-and-fire neurons that are connected by means of chemical synapses. In our neuronal network, the chimera states exhibit spatial structures both with spikes and bursts activities. Furthermore, those desynchronised domains not only have either spike or burst activity, but we show that the structures switch between spikes and bursts as the time evolves. Moreover, we verify the existence of multicluster chimera states. Copyright © 2019, The Authors. All rights reserved.

关键词： Neural networks

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INTERNET OF VEHICLES DATA SERVICE SYSTEM BASED ON CLOUD PLATFORM

INTERNET OF VEHICLES DATA SERVICE SYSTEM BASED ON CLOUD PLAT...

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2017 2nd World Symposium on Mechanical and control Engineering（WSMCE 2017）

作者： Xiaolan Xie Qiangqing Zheng Zhihong Guo College of Information Science and Engineering Guilin University of Technology Guangxi Universities key Laboratory of Embedded Technology and Intelligent Information Processing (Guilin University of Technology) College of Mechanical and Control Engineering Guilin University of Technology

The technology of Internet of automobile is designed to solve problems in field of transportation about safety, efficiency and environment. The system is based on data supplied by hardware in vehicles, design a mobile client APP and a management system for sellers through cloud computing, mass data distribution technology, which achieve the automobile driving data collection and analysis, fault reminders, track search, vehicle positioning, tips information release and other functions, and also achieve the intelligent analysis of automobile driving data. To some extent, the technology solves the problems such as automobile mileage not clear, hard to locate the automobile location, complicated ownership transfer, unable to self-help troubleshooting, hard to find the nearest repair point and so on.

关键词： Internet of vehicles BDS Automotive hardware Hadoop

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RESEARCH ON CLOUD PLATFORM OF CASTINGS QUALITY MANAGEMENT BASED ON SPARK

RESEARCH ON CLOUD PLATFORM OF CASTINGS QUALITY MANAGEMENT BA...

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2017 2nd World Symposium on Mechanical and control Engineering（WSMCE 2017）

作者： Xiaolan Xie Xiao Zhou Tianwei Yuan College of Information Science and Engineering Guilin University of Technology Guangxi Universities Key Laboratory of Embedded Technology and Intelligent Information Processing Guilin University of Technology College of Mechanical and Control Engineering Guilin University of Technology

The casting quality management costs too much manpower, material and financial resources and is still lack of scientific status. In view of these conditions, this paper builds the casting quality management cloud platform based on Spark. Build and deploy Spark Standalone on the local computer. Parallel computing and cloud storage mechanism are implemented by Spark. Task management scheduling is implemented by Standalone. The foundry enterprise uses this platform to carry on the big data analysis to the influence factors of casting quality in the casting production. According to the results of the analysis, the scientific guidance and efficient scheduling of the manufacturing process are carried out. The quality management of castings is standardized and scientific. The scrap rate of castings is reduced. Through the large data analysis of various factors affecting the quality of casting, a set of scientific and efficient management scheme is provided.

关键词： Castings quality management Spark Cloud platform Big data

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Relative navigation for planetary landing using stereo vision measurements

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Yuhang Xuebao/Journal of Astronautics 2016年第7期37卷 802-810页

作者： Xu, Chao Wang, Da-Yi Huang, Xiang-Yu Beijing Institute of Control Engineering Beijing100190 China Science and Technology on Space Intelligent Control Laboratory Beijing100190 China

A relative navigation method based on stereo vision measurements for planetary landing without any priori landmark information and a priori initial state of vehicle is proposed. Firstly, a relative navigation coordinate system is established and the positions of landmarks in the relative navigation coordinate system are calculated by using stereo vision measurements of landmarks. Secondly, an optimization method based on the singular value decomposition (SVD) is used to initialize the vehicle state. Finally, the position, velocity and attitude of the vehicle expressed in the relative navigation coordinate system are estimated. The numerical simulation results for Mars landing indicate that the proposed relative navigation method is effective and feasible. © 2016, Editorial Dept. of JA. All right reserved.

关键词： Stereo vision

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Overview of autonomous navigation based on sequential images for planetary landing

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Harbin Gongye Daxue Xuebao/Journal of Harbin Institute of technology 2016年第4期48卷 1-10页

作者： Wang, Dayi Xu, Chao Huang, Xiangyu Beijing Institute of Control Engineering Beijing100190 China Science and Technology on Space Intelligent Control Laboratory Beijing100190 China

Autonomous navigation based on sequential images (ANBSI) is the key technology of pinpoint landing missions for future deep space exploration and also is one of the major development directions for deep space exploration technology. The necessity of developing ANBSI for planetary pinpoint landing is elaborated in this paper. Firstly, state-of-art developments of ANBSI are reviewed in terms of active sensing and passive sensing. Then, the key techniques applied in ANBSI for planetary landing are summarized and analyzed. Finally, according to the analysis of the key techniques, the main issues of ANBSI are raised and their future developments are overviewed. © 2016, Harbin Institute of technology. All right reserved.

关键词： Navigation

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