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检索条件"任意字段=The 2010 IEEE International Conference on Progress in Informatics and Computing"

共 1879 条记录，以下是31-40 订阅

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Local Vs Global Energy Minimization Methods:Application to Stereo Matching

Local Vs Global Energy Minimization Methods:Application to S...

引用

the 2010 ieee international conference on progress in informatics and computing

作者： Cyril Cassisa School of Aerospace Tsinghua UniversityBeijingChina LIAMA-NLPR Institute of AutomationChinese Academy of SciencesBeijingChina LIAM2CIS-CNRS Ecole Centrale PekinBeihang UniversityBeijingChina

ISBN: (纸本)9781424467860

Energy minimization is often the key point of solving problems in computer *** decades,many methods have been proposed(deterministic,stochastic,…).Some can only reach local minimum and others strong local minimum close to the optimal solution(global minimum).Since beginning of 21th century,minimization based on Graph theory have been generalized to find global minimum of multi-labeling problems. In this work,we study deterministic local minimization methods (Iterative Conditional Modes and Direct Descent Energy),and a stochastic global minimization with an improved Simulated Annealing algorithm.A new approach formulation to help local minimization to converge to a minimum closed to the global one is *** method combines local and global energy constraints in an multiresolution *** focus on stereo matching *** improved Simulated Annealing proved to reach global minimum as good as Graph based minimization methods. Promising results of proposed local minimization methods are obtained on Middlebury Stereo database compare to global methods.

关键词： Markov Random Fields Energy Minimization Methods Local-Global Minimum Stereo Matching

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Towards Cloudlet-based Mobile Cloud Gaming 4

Towards Cloudlet-based Mobile Cloud Gaming

引用

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

作者： Wu, Run North China Elect Power Univ Sch Control & Comp Engn Baoding Hebei Peoples R China

ISBN: (纸本)9781509034840

With the rapid development of cloud computing technologies, cloud gaming has gained wide attention from the industrial field. By executing the gaming software on the cloud and transiting the rendered game scenes back to the client, game players can play games anywhere on any device. However, the centralized architecture of existing cloud gaming platforms causes serious network latency, which deteriorates user experience significantly. To reduce network latency and relieve the workload on the mobile client, we propose and implement a cloudlet-based mobile cloud gaining system design. By deploying the cloudlets in the nearby region of mobile users, we can provide computational resources to the mobile clients and complete tasks such as gaming state maintenance, game scene rendering, etc. The system can also reduce the gaming latency and the workload on the client greatly. We use the open-source cloud computing software to build a cloudlet system and develop an Android based cloud gaming client, which can receive and display gaming video streams, and map and upload the game operations. Finally, we conduct experimental evaluation of our mobile cloud gaming prototype. The results show that our proposed solution can significantly reduce the fraction of network latency.

关键词： cloud computing cloud gaming video gaming cloudlet multimedia

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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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CBR based emergency case generating system under engineering accidents

CBR based emergency case generating system under engineering...

引用

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

作者： Chang, Chunguang Xiang, Ma. Song, Xiaoyu Gao, Bo School of Management Shenyang Jianzhu University Shenyang China Key Laboratory of Industrial Informatics Shenyang Institute of Automation Chinese Academy of Sciences Shenyang China

ISBN: (纸本)9781424467860

With the flourishing development of construction and real estate industry, engineering accidents happen more frequently. The purpose of this paper is to generate emergency case as quick as possible so as to improve the quick emergency reaction capability when engineering accident happens. The flow of CBR based emergency case generating system (CBR/ECGS) under engineering accidents is studied. Both the static and dynamic case presentation technologies for CBR/ECGS are designed, and the case retrieval, case adaptation and case maintenance technologies for CBR/ECGS are proposed. It can be seen from running result of CBR/ECGS that, comparing with the result under the mode in which artificial adjustment is allowed, the overcast degree of emergency cases generated by CBR/ECGS under the mode in which only automatic system adjustment is allowed is almost the same. The validity of CBR/ECGS proposed in this paper is validated, and CBR is suitable for solving complex, non-structure problems such as emergency case generating under engineering accidents. ©2010 ieee.

关键词： Case based reasoning

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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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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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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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Dynamic priority back-up algorithm based on ieee802.11 DCF

Dynamic priority back-up algorithm based on IEEE802.11 DCF

引用

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

作者： Liu, Chao Li, Zhengming Li, Wenjuan School of Electrical and Information Engineering JiangSu University Zhenjiang China

ISBN: (纸本)9781424467860

The Distributed Coordination Function (DCF) in the ieee 802.11 protocol is a random access scheme based on the carrier sense multiple access with collision avoidance (CSMA/CA). In recent years, there have been numerous research on the performance analysis and model of DCF under the assumption that the transmission queue is always nonempty (i.e. saturation state). In this paper, we propose a dynamic priority back-up algorithm (DPBA) for ieee802.11 DCF, the basic idea of DPBA is each node should collect statistical data of other node's transmission while sensing the channel, and maintaining a sending data table for all node in network. When the node has data to transmit, it will calculate the dynamic priority and connection window according to the number of successful sending, the number of successful sending and the statistical data in sending table. Simulation results show that DPBA can properly assign channel among nodes in proportion to their dynamic priority as well as enhance the network saturation throughput. ©2010 ieee.

关键词： Carrier sense multiple access

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