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15th IEEE International Symposium on Biomedical Imaging, ISBI 2018

作者： Zheng, Qiang Fan, Yong Department of Radiology Perelman School of Medicine University of Pennsylvania PhiladelphiaPA19104 United States School of Computer and Control Engineering Yantai University Yantai264005 China National Laboratory of Pattern Recognition Institute of Automation Chinese Academy of Sciences Beijing100190 China

ISBN: (纸本)9781538636367

A novel multi-atlas based image segmentation method is proposed by integrating a semi-supervised label propagation method and a supervised random forests method in a pattern recognition based label fusion framework. The semi-supervised label propagation method takes into consideration local and global image appearance of images to be segmented and segments the images by propagating reliable segmentation results obtained by the supervised random forests method. Particularly, the random forests method is used to train a regression model based on image patches of atlas images for each voxel of the images to be segmented. The regression model is used to obtain reliable segmentation results to guide the label propagation for the segmentation. The proposed method has been compared with state-of-the-art multi-atlas based image segmentation methods for segmenting the hippocampus in MR images. The experiment results have demonstrated that our method obtained superior segmentation performance. © 2018 IEEE.

关键词： Image segmentation

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Online transmission policy in wireless powered networks with urgency-aware age of information 15

Online transmission policy in wireless powered networks with...

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15th IEEE International Wireless Communications and Mobile Computing Conference, IWCMC 2019

作者： Lu, Yang Xiong, Ke Fan, Pingyi Zhong, Zhangdui Letaief, Khaled Ben School of Computer and Information Technology Beijing Jiaotong University Beijing100044 China Beijing Key Laboratory of Traffic Data Analysis and Mining Beijing Jiaotong University Beijing100044 China Department of Electronic Engineering Tsinghua University Beijing100084 China State Key Lab of Rail Traffic Control and Safety Beijing Jiaotong University Beijing100044 China Beijing Engineering Research Center of High-speed Railway Broadband Mobile Communications Beijing Jiaotong University Beijing100044 China Hong Kong University of Science and Technology Hong Kong Hong Kong

ISBN: (纸本)9781538677476

This paper investigates the age of information (AoI) for a radio frequency (RF) energy harvesting (EH) enabled network, where a sensor first scavenges energy from a wireless power station and then transmits the collected status update to a sink node. To capture the thirst for the fresh update becoming more and more urgent as time elapsing, urgency-aware AoI (U-AoI) is defined, which increases exponentially with the increment of time between two received updates. Due to EH, a waiting time is required at the sensor before transmitting the status update. An optimization problem is formulated to minimize the long-term average U-AoI under constraint of energy causality. A two-layer algorithm is presented to solve it, where the outer loop is designed based on Dinklebach's method, and the inner loop presents a semi-closed-form expression of the optimal waiting time policy based on Karush-Kuhn-Tucker (KKT) optimality conditions. Numerical results show that our proposed optimal transmission policy outperforms the zero time waiting policy and equal time waiting policy in terms of long-term average U-AoI, especially when the networks are in slight load. It also shows that the system U-AoI first decreases and then keeps unchanged with the increments of EH circuit's saturation level. © 2019 IEEE.

关键词： Energy harvesting

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Robustifying passive closed-loop port-Hamiltonian systems using observer based control 11th

Robustifying passive closed-loop port-Hamiltonian systems us...

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11th International Conference on Integrated Modeling and Analysis in Applied control and Automation, IMAACA 2018

作者： Nacusse, Matías Donaire, Alejandro Junco, Sergio Departamento de Control FCEIA UNR Rosario Argentina Consejo Nacional de Investigaciones Científicas y Técnicas Argentina School of Electrical Engineering and Computer Science Faculty Queensland University of Technology Brisbane Australia

ISBN: (纸本)9788885741119

This paper contributes a passivity-based approach to obtain a control law that robustifies Port-Hamiltonian (pH) control systems under external and state-dependent disturbances using disturbance observers (DO). A two-stage design procedure is used to define the Disturbance Observed Based control (DOBC) scheme. In the first stage a passivity based control law, called Interconnection and Damping assignment (IDA-PBC) is designed in the Bond Graph (BG) domain via BG prototyping, using an undisturbed model of the physical system. This stage is not the main issue of this paper and therefore the IDA-PBC law will be assumed to be known. The second stage, the main result of this paper, consists in the design of the DO and its integration with the IDA-PBC control law. The DO is derived in the BG domain via the integration of the residual signal computed from a Diagnostic Bond Graph (DBG). The methodology is developed through examples in the BG domain and formalized and extended in the pH framework. Copyright © (2015) by CAL-TEK *** rights reserved. . All Rights Reserved.

关键词： Damping

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Probabilistic modeling of asteroid diameters from Gaia DR2 errors

arXiv

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arXiv 2021年

作者： de Souza, Rafael S. Krone-Martins, Alberto Carruba, Valerio de Cassia Domingos, Rita Ishida, Emille E.O. Alijbaae, Safwan Espinoza, Mariela Huaman Barletta, William Key Laboratory for Research in Galaxies and Cosmology Shanghai Astronomical Observatory Chinese Academy of Sciences 80 Nandan Rd. Shanghai200030 China Donald Bren School of Information and Computer Sciences University of California IrvineCA92697 United States CENTRA SIM Faculdade de Ciências Universidade de Lisboa Ed. C8 Campo Grande Lisboa1749-016 Portugal School of Natural Sciences and Engineering SP Guaratinguetá12516-410 Brazil SP São João da Boa Vista13876-750 Brazil Université Clermont Auvergne CNRS IN2P3 LPC Clermont-FerrandF-63000 France Division of Space Mechanics and Control C.P. 515 SP São José dos Campos12227-310 Brazil Cercado de Lima Lima15046 Peru

The Gaia Data Release 2 provides precise astrometry for nearly 1.5 billion sources across the entire sky, including several thousand asteroids. In this work, we provide evidence that reasonably large asteroids (diameter > 20 km) have high correlations with Gaia relative flux uncertainties and systematic right ascension errors. We further capture these correlations using a logistic Bayesian additive regression tree model. We compile a small list of probable large asteroids that can be targeted for direct diameter measurements and shape reconstruction. Copyright © 2021, The Authors. All rights reserved.

关键词： Asteroids

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Multi-objective Optimization of the Wind Farm Dispatch Problem Using Chaotic NSGA-II Algorithm

Multi-objective Optimization of the Wind Farm Dispatch Probl...

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2018 Chinese Automation Congress, CAC 2018

作者： Zhang, Songtao Bai, Yan Yin, Yue Guo, Oianz Xue, Zhiwei Huanz, Conzzhi School of Control and Computer Engineering North China Electric Power University Beijing China State Grid Shanxi Electric Power Research Institute Taiyuan China State Grid Shanxi Electric Power Company Taiyuan China

ISBN: (纸本)9781728113128

During the process of wind farm load dispatch, frequent changes of start-up and shut-down state will bring large hardware loss. The pitch angle control system is applied to adjust the power generation of wind turbine. If the allocated power of a wind turbine is far less than the available power generation, the large control pressure will bring large loss to the pitch angle control system. In order to reduce the hardware loss of wind turbines in the dispatching process, a multi-objective optimal dispatching model is established, which takes the times of startup and shut-down and the mean of the power limited index as the objective functions. The optimized chaotic algorithm of tent map is integrated into the NSGA-II algorithm to develop the chaotic NSGA-II (CNSGA-II) algorithm. The results of numerical simulations verify that the CNSGA-II algorithm has better search efficiency and convergence performance. The CNSGA-II algorithm is used to solve the wind farm load dispatch problem. The experimental results demonstrated the validity and correctness of the model and prove the convergence performance superiority of CNSGA-II algorithm over the NSGA- II algorithm. © 2018 IEEE.

关键词： Multiobjective optimization

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WEAVER: An Energy Efficient, General-Purpose Acceleration Architecture for String Operations in Big Data Applications

WEAVER: An Energy Efficient, General-Purpose Acceleration Ar...

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

作者： Wenming Li Xiaochun Ye Da Wang Hao Zhang Dongdong Wu Zhimin Zhang Dongrui Fan SKL Computer Architecture CAS Beijing China School of Computer and Control Engineering University of Chinese Academy of Sciences Beijing China

ISBN: (纸本)9781728111421;9781728111414

The explosion of data volume in big data era drives architecture designers to find more efficient processor architectures. Different from the conventional scientific computing, big data applications are usually simple computing patterns with massive input data, which makes current general-purpose processors suffer poor performance and huge energy consumption. Among various computing patterns in big data applications, string operations are common but very important parts of data processing. Dealing with simple and fixed computing patterns with high-performance processors is wasteful. In this paper, we propose WEAVER, a high-efficiency, general-purpose acceleration architecture for string operations, which can be integrated into current processors and work beside on-chip memory controller. The WEAVER can both reduce the latency of data transfer between memory and processing cores and accelerate the string processing by using customized architecture. The experimental results show WEAVER gains an average speedup of 3.2x over a general-purpose Intel processor, and reduces the energy consumption by 3.79x on average, with tiny hardware overhead.

关键词： computer architecture Big Data applications Acceleration Databases Pipelines Energy consumption

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An Improved Event-triggered h„ Filtering for Nonlinear Systems

An Improved Event-triggered h„ Filtering for Nonlinear Syst...

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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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