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检索条件"任意字段=2016 IEEE International Conference on Progress in Informatics and Computing"

共 1937 条记录，以下是31-40 订阅

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Intemittent Control with Reinforcement Leaning 5

Intemittent Control with Reinforcement Leaning

引用

2017 international conference on progress in informatics and computing(PIC)

作者： Haibo Shi Yaoru Sun Guangyuan Li Department of Computer Science College of Electronics and Information Engineering Tongji University

ISBN: (纸本)9781538619797;9781538619780

In this study, a hierarchical architecture for the intermittent control under the minimum transition hypothesis（MTH） was implemented. A two-stage hierarchy was adopted to perform the high-level and the low-level control respectively. The high-level controller performed the intermittent control by setting a sequence of goals for the low-level controller. Goal planning as the intermittent control policy was learned with hierarchical deep deterministic policy gradient（h-DDPG） proposed in this study, which is a hierarchical version of the conventional DDPG. The model successfully learned to temporally decompose a complex movement into a sequence of basic motor skills with sparse transitions, as shown in results of the two validation experiments: the trajectory following and the obstacle avoidance tasks.

关键词： movement control deterministic policy gradient reinforcement learning intermittent control

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Current progress in Discriminative Object Tracking 5

Current Progress in Discriminative Object Tracking

引用

2017 international conference on progress in informatics and computing(PIC)

作者： Zhichao Lian Zhonggen Liu School of Computer Science and Engineering Jiangsu Key Laboratory of Spectral Imaging and Intelligent Sense Nanjing University of Science and Technology

ISBN: (纸本)9781538619797;9781538619780

Recently,great progesses have been made in using discriminative classifiers in object *** specifically,correlation filters(CFs) for visual tracking have been attractive due to t heir competitive performances on both accuracy and *** this paper,the latest and representative approaches of CF b ased trackers are presented in d *** addition,trackers used deep convolutional features are introduced and several famous tracking methods which fine-tune the pretrained deep network are *** evaluate the performances of different trackers,a detailed introduction of the evaluation methodology and the datasets is described,and all introduced trackers are compared based on the mentioned ***,several promising directions as the conclusions are drawn in this paper.

关键词： object tracking deep learning correlation filters

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Smart Grid Data Mining and Visualization 4

Smart Grid Data Mining and Visualization

引用

4th ieee international conference on progress in informatics and computing (ieee PIC)

作者： Zhou, Yingyao Li, Ping Xiao, Yuning Masood, Anum Yu, Qichen Sheng, Bin China Southern Power Grid Informat Dept Guangzhou Peoples R China Shanghai Jiao Tong Univ Dept Comp Sci & Engn Shanghai Peoples R China Chinese Acad Sci State Key Lab Comp Sci Inst Software Beijing Peoples R China Educ Univ Hong Kong Dept Math & Informat Technol Hong Kong Peoples R China COMSATS Inst Informat Technol Dept Comp Sci Wah Cantt Pakistan Shanghai Jiao Tong Univ Dept Elect Engn & Automat Shanghai Peoples R China

ISBN: (纸本)9781509034840

The power industry innovation has increasingly become a top concern for current reforms. Power systems feature scattered data storage, incapable data analysis ability, poor computing capability, and ineffective interaction interface. To resolve these issues, we need multiple data mining techniques to extract information for analytical capacity improvement. Secondly, we need visualization techniques to analyze and optimize interaction. Lastly, we need distributed technologies for unified data management to increase computing capability and system scalability. Considering China's smart grid information, this paper proposes solutions to problems, such as the existing underdeveloped power management systems, a lack of automation methods, low data visualization, and poor data management. The electric power industry has functional requirements for this research. Based on existing data mining, visualization and understanding of distributed technologies, we discussed the functions of each part of the implementation in a smart grid management system: the data mining module, visualization module and data management module.

关键词： smart grid data mining visualization geographic information systems distributed computing

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Research on the Complexity of Technological Innovation Supported by Internet 5

Research on the Complexity of Technological Innovation Suppo...

引用

2017 international conference on progress in informatics and computing(PIC)

作者： Cuilan Wang Deji Wang Department of History of Science & Scientific Archaeology University of Science & Technology of China

ISBN: (纸本)9781538619797;9781538619780

This paper analyzes the complexity of Internet innovation using scale-free network theory. The evolutionary model has also been numerically simulated. The conclusion is that the model has small-world and scale-free features. The small-world effect shows that there is a wide range of high efficiency Internet resource integration. Scale-free features indicate that a few core nodes become central. Therefore, we should not only see the characteristics to enhance the positive effect of innovation performance, but also avoid the risk of lockin and vulnerability.

关键词： scale-free network Internet innovation complexity

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TaSRD: Task Scheduling Relying on Resource and Dependency in Mobile Edge computing 6

TaSRD: Task Scheduling Relying on Resource and Dependency in...

引用

ieee international conference on progress in informatics and computing (PIC)

作者： Cao, Yuting Chen, Haopeng Jiang, Jianwei Hu, Fei Shanghai Jiao Tong Univ Sch Software Shanghai Peoples R China China Aeronaut Radio Elect Res Inst Shanghai Peoples R China

ISBN: (纸本)9781538676721

Offloading computation-intensive tasks from mobile to nearby resource-rich surrogates, called edge servers, is proposed recently because traditional mobile cloud computing has a bottleneck of bandwidth and resource limitation for devices. The primary performance concern of offloading is how to maximize energy saving under task delay and task dependency limitation. Besides, edge servers that mobile perceived are changeable and heterogeneous in the process of offloading. In this paper, we formalize this problem, reduce it into knapsack problem and propose a task scheduling scheme, named TaSRD, including independent sub-task scheduling for tasks without dependencies and dependent sub-task scheduling for dependent tasks. We implement TaSRD and evaluate it by case study and simulation on CloudSim framework developed by Melbourne University. We use time model and energy model to measure results and recommend suitable parameters for TaSRD. The experimental results demonstrate that TaSRD can effectively save energy and reduce makespan for mobile while offloading tasks to edge servers.

关键词： Mobile Edge computing TaSRD Resource Requirement Task Dependency Offloading

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Task Assignment Modeling and Simulation for Cooperative Driving of Multiple Vessels 5

Task Assignment Modeling and Simulation for Cooperative Driv...

引用

2017 international conference on progress in informatics and computing(PIC)

作者： Shanshan Xiang Yaojie Chen School of Computer Science and Technology Wuhan University of Science and Technology

ISBN: (纸本)9781538619797;9781538619780

The task assignment problem for multiple vessels cooperative driving is the key problem of the multiple vessels cooperative control. Due to the system showing multi-objective, multi-tasking and multi-constrained features, a cooperative multi-task assignment model is proposed, which can transform multiple constraints task assignment problem into multiple constraints optimization problem based on the multiple vessels task assignment cost function. This method optimizes the results of task assignment by using genetic ant colony hybrid algorithm to search optimization solution globally. In the simulation experiment, it is compared with the genetic algorithm and the ant colony algorithm alone, and experimental results show that the method can optimize task assignment on the basis of satisfying these constraints.

关键词： Multi-vessel cooperative task assignment Multi-constrain Multi-target Genetic ant colony hybrid algorithm

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Hyperspectral Image Low-rank Restoration Based Spectral-spatial Total Variation 5

Hyperspectral Image Low-rank Restoration Based Spectral-spat...

引用

2017 international conference on progress in informatics and computing(PIC)

作者： Peipei Sun Hongyi Liu School of Science Nanjing University of Science and Technology

ISBN: (纸本)9781538619797;9781538619780

Hyperspectral image（HSI） is often contaminated by mixed noise in the acquisition process. In this paper,a hyperspectral image low-rank restoration method based spectral-spatial total variation（LRSSTV） is proposed. The spectral high correlation is exploited by low-rank representation and the sparse noise is represented by the l-norm. Furthermore,to remove the Gaussian noise and enhance the edge information,spectral-spatial adaptive total variation prior knowledge is utilized. Both simulated and real-world data experimental results show that the proposed method can work well in detail preservation and noise removal.

关键词： Hyperspectral image(HSI) restoration low-rank(LR) total variation(TV)

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Application to SSVEP of Chirp Stimulus Using Non-Harmonic Analysis 5

Application to SSVEP of Chirp Stimulus Using Non-Harmonic An...

引用

2017 international conference on progress in informatics and computing(PIC)

作者： Dongbao Jia Yuta Takashima Masaya Hasegawa Shigeki Hirobayashi Tadanobu Misawa Faculty of Science and Engineering University of Toyama

ISBN: (纸本)9781538619797;9781538619780

Recently, brain-computer interface has been applied to many fields such as steady-state visual evoked potential(SSVEP). However, in the conventional method, the frequency resolution is low due to the dependence of the short-time Fourier transform on the analysis window length. Therefore, it is not possible to analyze a non-integer multiple signal, as a side-lobe will occur. We verified the precision of non-harmonics analysis,and proposed and attempted to analyze the change and stimulus of SSVEP. We found the frequency resolution to be improved exponentially.

关键词： steady-state visual evoked potential brain-computer interface chirp stimulus non-harmonics analysis

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Visual Tracking via Sparse Coding and Spectral Residual 5

Visual Tracking via Sparse Coding and Spectral Residual

引用

2017 international conference on progress in informatics and computing(PIC)

作者： Wei Li Meng Ding College of Jin Cheng Nanjing University of Aeronautics and Astronautics College of Civil Aviation Nanjing University of Aeronautics and Astronautics

ISBN: (纸本)9781538619797;9781538619780

This paper proposed a tracking algorithm based on sparse coding and spectral residual saliency under the framework of particle filtering. The proposed algorithm can be divided into three parts. Firstly, spectral residual is used to calculate a saliency map of the current frame and then compute the saliency score of each particle. Secondly, several particles are eliminated directly based on the differences between the saliency scores of the particles in the current frame and the target score in the prior frame. Thirdly, Sc SPM is used to compute the observation vector for the rest particles and the tracking task is finished in the framework of particle filtering. Both quantitative and qualitative experimental results demonstrate that the proposed algorithm performs favorably against the nine state-ofthe-art trackers on ten challenging test sequences.

关键词： visual tracking sparse coding spectral residual saliency

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An object tracking method using deep learning and adaptive particle filter for night fusion image 5

An object tracking method using deep learning and adaptive p...

引用

2017 international conference on progress in informatics and computing(PIC)

作者： Xiaoyan Qian Lei Han Yanlin Zhang Meng Ding Nanjing University of Aeronautics and Astronautics College of Civil Aviation

ISBN: (纸本)9781538619797;9781538619780

In this paper, we propose an online visual tracking algorithm for fused sequences via deep learning and adaptive Particle filter(PF). Our algorithm pretrains a simplified Convolution Neural Network(CNN) to obtain a generic target representation. The outputs from the hidden layers of the network help to form the tracking model for an online PF. During tracking, the moving information guides the distribution of particle samples. The tests illustrate competitive performance compared to the state of-art tracking algorithms especially when the target or camera moves quickly.

关键词： target tracking deep learning adaptive particle filter styling color fusion image

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