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Chinese control and Decision Conference, CCDC

作者： Zhongda Lu Guangtao Ran Fengbin Zhang Fengxia Xu School of Computer and Control Engineering Qiqihar University Qiqihar College of Computer Science and Technology Harbin University of Science and Technology Harbin

ISBN: (纸本)9781538612453;9781538612446

This paper addresses event-triggered H ∞ filtering for nonlinear Networked control Systems with time-delay. A new event-triggered scheme is proposed to determine the state transmission only when satisfying trigger conditions. Considering the effects of the event-triggered scheme and network-induced, the fuzzy filtering error system is built based on T-S fuzzy model. An augmented Lyapunov function is constructed with integral items, and the Writinger inequality is first utilized to analysis and design H ∞ filtering error system to derived a less conservative stability criterion. An illustrative example is presented to demonstrate the merit of the proposed event-triggered scheme and the effectiveness of the proposed method.

关键词： Filtering Nonlinear systems Networked control systems Fuzzy systems Delays Electronic mail

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Mitigate the obstructing effect of vehicles on the propagation of VANETs safety-related information

Mitigate the obstructing effect of vehicles on the propagati...

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作者： Huang, Rui Wu, Jing Long, Chengnian Zhu, Yanmin Li, Bo Lin, Yi-Bing Department of Automation Shanghai Jiao Tong University Key Laboratory of System Control and Information Processing Ministry of Education of China Shanghai200240 China Department of Computer Science School of Electronic Information and Electrical Engineering Shanghai Jiao Tong University Shanghai200240 China Department of Computer Science and Engineering The Hong Kong University of Science and Technology Hong Kong China Department of Computer Science and Information Engineering National Chiao Tung University Taiwan

As physical obstacles, vehicles have significant impacts on the efficient propagations of safety-related information in vehicular ad hoc networks (VANETs) by frequently obstructing the LOS links between transmitters and receivers. Obstructing effect will diminish the effective coverage of safety-related information and incur severe impact on road safety. However, this impact has not been addressed effectively. In this paper, we first present the definition of broadcast efficiency as the metric for quantizing the obstructing effect. We investigate the optimization issue for mitigating the impact of obstructing effect on the propagation of safety-related information and propose a graph theory-based optimization algorithm. For a distributed implementation of this optimization in VANETs, we further propose the maximum broadcast efficiency relaying (MBER) algorithm. MBER maximizes the effective coverage of information, meanwhile, meets delay and reliability constraints by incorporating broadcast efficiency and propagation distance in relay contention. Simulation results demonstrate that MBER promotes the effective coverage of safety-related information in VANETs with varying vehicular distribution. © 1967-2012 IEEE.

关键词： Vehicular ad hoc networks

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High-Performance and Energy-Efficient Fault Tolerance Scheduling Algorithm Based on Improved TMR for Heterogeneous System

High-Performance and Energy-Efficient Fault Tolerance Schedu...

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IEEE International Conference on Big Data and Cloud Computing (BdCloud)

作者： Shigan Yu Zhimin Tang Xiaochun Ye Zhimin Zhang Dongrui Fan Zhiying Jiang School of Computer and Control Engineering University of Chinese Academy of Sciences Beijing China SKL Computer Architecture CAS Beijing China

ISBN: (纸本)9781728111421;9781728111414

Traditional TMR (Three Mode Redundancy) method based on homogeneous multicore has been used in solving the transient fault of microprocessor and improving reliability, but it is characterized by low performance and high power consumption. This paper proposes an improved TMR method to improve the performance of fault-tolerant scheduling for heterogeneous system (HEFT-ITMR). The tasks are divided into two groups with/without fault-tolerant requirements, which are scheduled by traditional TMR method and by competitive mechanism, respectively. The tasks without fault-tolerant requirements will be re-executed in traditional TMR method if the task reliability fail to meet the requirements. The experimental results demonstrate that the proposed method can achieve a 18.1% improvement in average efficiency over traditional TMR method when running three types of benchmark without injecting errors and yield an average speedup of 15.3% and the power consumption can also be decreased by 20.5% over TMR when 200 errors are injected. In addition, a parallel optimization method P-HEFT-ITMR is proposed to further improve system performance and reduce system power consumption while ensuring system reliability.

关键词： Distributed processing Ubiquitous computing Big Data Cloud computing Social computing

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Ultra-short-term Wind Speed Forecast Based on WD-ARIMAX-GARCH Model

Ultra-short-term Wind Speed Forecast Based on WD-ARIMAX-GARC...

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IEEE International Conference on Automation, Electronics and Electrical engineering (AUTEEE)

作者： Qiang Xu Wei Li Dean Kong Xiang Zhao Xiaoyu Wang Yongji Li Yong Shen Xiangshuo Wang Zheng Zhao State Grid Xinjiang Company Limited Electric Power Research Institute Urumqi China Xinjiang Electric Power Construction and Commissioning Co. Ltd Urumqi China School of Control Engineering and computer North China Electric-Power University Baoding China

ISBN: (数字)9781728150307

ISBN: (纸本)9781728150314

With the increasing proportion of wind energy in the energy structure, the high-precision prediction model has become an indispensable link. An ultra-short-term wind speed forecasting model based on WD-ARIMAX-GARCH is proposed. For some time series, they are often influenced by external factors, and the ARIMA model is only a regression of historical time series, which cannot reflect the influence of external factors. In order to obtain exogenous variables, the wind speed time series is decomposed into several subsequences by introducing wavelet decomposition, and the ARIMA-GARCH model is established for each subsequence. The predicted result is recombined as an exogenous variable and the decomposed data, and an ARIMAX model is established for the new time series. The WD-ARIMAX-GARCH model experiment results show that the prediction accuracy is high.

关键词： Predictive models Wind speed Time series analysis Mathematical model Wind forecasting Data models Forecasting

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SD-Unet: A Structured Dropout U-Net for Retinal Vessel Segmentation

SD-Unet: A Structured Dropout U-Net for Retinal Vessel Segme...

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IEEE Symposium on Bioinformatics and Bioengineering (BIBE)

作者： Changlu Guo Márton Szemenyei Yang Pei Yugen Yi Wei Zhou Department of Control Engineering and Information Technology Budapest University of Technology and Economics Budapest Hungary Budapest University of Technology and Economics Budapest Hungary School of Software Jiangxi Normal University Nanchang China College of Computer Science Shenyang Aerospace University Shenyang China

ISBN: (纸本)9781728146188

At present, artificial visual diagnosis of fundus diseases has low manual reading efficiency and strong subjectivity, which easily causes false and missed detections. Automatic segmentation of retinal blood vessels in fundus images is very effective for early diagnosis of diseases such as the hypertension and diabetes. In this paper, we utilize the U-shaped structure to exploit the local features of the retinal vessels and perform retinal vessel segmentation in an end-to-end manner. Inspired by the recently DropBlock, we propose a new method called Structured Dropout U-Net (SD-Unet), which abandons the traditional dropout for convolutional layers, and applies the structured dropout to regularize U-Net. Compared to the state-of-the-art methods, we demonstrate the superior performance of the proposed approach.

关键词： Image segmentation Biomedical imaging Blood vessels Training Retinal vessels Diseases

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Consensus of mixed-order multi-agent systems with directed topology

Consensus of mixed-order multi-agent systems with directed t...

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Chinese Intelligent Systems Conference, CISC 2017

作者： Geng, Hua Chen, Zengqiang Liu, Zhongxin Zhang, Chunyan Zhang, Qing School of Information Electrical Engineering Hebei University of Engineering Handan056038 China College of Computer and Control Engineering Nankai University Tianjin300071 China Tianjin Key Laboratory of Intelligent Robotics Nankai University Tianjin300071 China College of Science Civil Aviation University of China Tianjin300300 China

ISBN: (纸本)9789811064982

In this paper, an in-depth study about the consensus problem of mixed-order multi-agent system with directed topology is performed. Specifically, this system is composed of two classes of agents respectively described by first-order and second-order dynamics. By the aid of state transformation, two different methods are proposed to solve the consensus. Still, two meaningful examples are provided to verify the effectiveness of the gained theoretical results. This paper is expected to establish a more realistic model and provide effective measures to solve the consensus problem. © 2018, Springer Nature Singapore Pte Ltd.

关键词： Multi agent systems

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Remote Real-Time Wastewater Surveillance by the Optical Sensor Supported by Machine Learning

Sensors and Actuators Reports

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Sensors and Actuators Reports 2025年

作者： Małgorzata Szczerska Kacper Cierpiak Monika Kosowska Paweł Wityk Sebastián García-Galán Patryk Sokołowski Sylwia Fudala-Książek Michał T. Tomczak Bei Ye Aneta Łuczkiewicz Department of Metrology and Optoelectronics Faculty of Electronics Telecommunications and Informatics Gdańsk University of Technology 11/12 Narutowicza Street 80-233 Gdansk Poland Faculty of Telecommunications Computer Science and Electrical Engineering Bydgoszcz University of Science and Technology Al. Prof. S. Kaliskiego 7 85-796 Bydgoszcz Poland Department of Biotechnology and Microbiology Faculty of Chemistry Gdańsk University of Technology 11/12 Narutowicza Street 80-233 Gdansk Poland Telecommunications Engineering Department Linares Higher Polytechnic School Jaén University Avenida de la Universidad S/N 23700 Linares Jaén Spain Department of Water and Wastewater Technology Faculty of Civil and Environmental Engineering Gdańsk University of Technology 11/12 Narutowicza Street 80-233 Gdańsk Poland Faculty of Management and Economics Gdańsk University of Technology 11/12 Narutowicza Street 80-233 Gdańsk Poland Shenzhen Key Laboratory of Ecological Remediation and Carbon Sequestration Environmental Protection Key Laboratory of Microorganism Application and Risk Control Institute of Environment and Ecology Shenzhen International Graduate School Tsinghua University Shenzhen 518055 PR China

In this study, a remote monitoring sewage system based on optical method is presented for the first time. The built-in wastewater surveillance system can perform autonomous monitoring with no requirement of sample collection and its transport to the laboratory. The measurement results can be obtained in real time, the work operation allows continuous or on-demand mode. The study includes design, development and application of a biofunctionalized fiber-optic sensor, as well as engaging machine learning algorithms for measured signals classification. The validated SARS-CoV-2 antibodies sensor has a measurement range of 10 −12 mg/mL to 10 −1 mg/mL. Known concentrations of Immunoglobulin G (IgG) from 10 −6 mg/mL to 10 −1 mg/mL were added to the tested wastewater samples and then detected by the prepared optical probe. The data obtained were then processed and classified by traditional method and selected machine learning algorithms; the results obtained for the KNeighbors algorithm are Balanced Accuracy of 92.97% and F1-score of 94.19%. This study is of significance to establish a system that can effectively monitor the outbreak of potential infections in society.

关键词： remote wastewater surveillance real-time monitoring SARS-CoV-2 optical sensors fiber optic sensor machine learning

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On-orbit data mining technology for Earth observation image processing 69

On-orbit data mining technology for Earth observation image ...

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69th International Astronautical Congress: #InvolvingEveryone, IAC 2018

作者： Yu, Mengxi Xiao, Aimin Li, Nan Zhang, Jianquan Dong, Wenbo Yang, Junli Cheng, Mengzhe Key Laboratory of Space Utilization Technology and Engineering Center for Space Utilization Chinese Academy of Sciences Beijing100094 China Beijing University of Posts and Telecommunications Beijing100876 China School of Control and Computer Engineering North China Electric Power University Beijing102206 China

The high resolution earth observation satellite has developed rapidly, and the earth observation system has been developed from single-star mode to many small and medium satellites joint network. Full earth observation in twenty-four hours under all kinds of climate all around the earth has been realized. However, due to the limited bandwidth and energy resources, these data are not appropriate to be completely downloaded, and on-orbit image processing and data mining techniques are required. On one hand, redundant or invalid data can be removed to save limited bandwidth and energy, on the other hand, the on-orbit images are effectively processed in real time, and the intelligence and emergency response capabilities of earth observation system are enhanced. First, a high-performance computing architecture is established, and a high-performance computing platform based on Xilinx Zynq7000 series SoC chip and Nvidia Jetson TX2 series chip is designed to accomplish the on-orbit high-performance image processing with single point computing capacity of 2TFLOPS, storage capacity of 16Tb. Secondly, the image semantic segmentation on the TX2 hardware platform is realized by using the compressed lightweight deep neural network, and the classification of remote sensing image is achieved with accuracy 87% and 1 image per second prediction speed;On the basis of semantic segmentation, the semantic information of forest coverage and the number of houses is extracted. Finally, the image data retrieval technology is used to effectively organize and manage the images, complete the reception and response after receiving the ground commands, and transmit the effective data information to the ground in time. The verification system is further built to verify the rationality, availability and real-time aspects of the image data modeling and data mining platform, which lays the foundation for the future establishment and improvement of earth observation system. The systematic method propo

关键词： Classification (of information)

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Smart Meter Data Analytics for Distribution Network

Smart Meter Data Analytics for Distribution Network

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Chinese control Conference

作者： Guojing Tang Yinghua Han Jinkuan Wang Qiang Zhao School of Computer and Communication Engineering Northeastern University Shenyang China School of Computer and Communication Engineering Northeastern University at Qinhuangdao Qinhuangdao China School of Information Science and Engineering Northeastern University Shenyang China School of Control Engineering Northeastern University at Qinhuangdao Qinhuangdao China

With the rapid development of data analysis technology, the implementation of smart grid construction, the mass installation and use of smart sensing devices, the combination of data analysis technology and smart grid is an inevitable trend. The power data will bring great benefits to power companies. Among them, the topology estimation of distribution network is the cornerstone of smart grid data analysis technology. This paper firstly introduces the voltage deviation analysis of the users on the distribution network, and uses the relationship to conduct a series of topology analysis of the distribution network, such as topology verification, phase identification and topology estimation. The data used in this paper is the actual electricity data of a city, and the result of topology verification is validated through actual investigation.

关键词： Topology Network topology Data analysis Meters Smart meters Estimation Real-time systems

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Universal enzymatic numerical P systems with small number of enzymatic variables

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Science China(Information Sciences) 2018年第9期61卷 38-49页

作者： Zhiqiang ZHANG Tingfang WU ANDrei P■UN Linqiang PAN Key Laboratory of Image Information Processing and Intelligent Control of Education Ministry of China School of Automation Huazhong University of Science and Technology Department of Computer Science Faculty of Mathematics and Computer ScienceUniversity of Bucharest Bioinformatics Department National Institute of Research and Development for Biological Sciences School of Electric and Information Engineering Zhengzhou University of Light Industry

Numerical P systems(for short, NP systems) are distributed and parallel computing models inspired from the structure of living cells and economics. Enzymatic numerical P systems(for short, ENP systems) are a variant of NP systems, which have been successfully applied in designing and implementing controllers for mobile robots. Since ENP systems were proved to be Turing universal, there has been much work to simplify the universal systems, where the complexity parameters considered are the number of membranes, the degrees of polynomial production functions or the number of variables used in the *** the number of enzymatic variables, which is essential for ENP systems to reach universality, has not been investigated. Here we consider the problem of searching for the smallest number of enzymatic variables needed for universal ENP systems. We prove that for ENP systems as number acceptors working in the all-parallel or one-parallel mode, one enzymatic variable is sufficient to reach universality; while for the one-parallel ENP systems as number generators, two enzymatic variables are sufficient to reach *** results improve the best known results that the numbers of enzymatic variables are 13 and 52 for the all-parallel and one-parallel systems, respectively.

关键词： bio-inspired computing numerical P system mobile robot membrane controller universality

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