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the 7th Lighting conference of China, Japan and Korea(CJK 2014)

作者： Binghua Li Xinglin Li Qing Dong Zhenjiang Song Qingwei Yang Na Liu Zhang Qiaoling China Construction Design International Harbin Institute of Technology

the sports lighting for an important game should meet not only the demand of functional lighting but also the TV *** article mainly describes a subjective evaluation method,evaluating the influence of sports lamp chroma parameter including color temperature and CRI,on TV broadcast image quality,mainly the TV image color restoring *** method use evaluation of TV broadcast image quality to evaluate the lamp's color temperature and CRI's influence on the TV broadcast image color restoring *** application of this method is introduced by case study.

关键词： thE DISCUSSION OF thE SUBJECTIVE EVALUATION MEthODOLOGY ABOUT LAMP CHROMA'S INFLUENCE ON TV BROADCAST IMAGE QUALITY

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Heuristic Survivable Virtual Network Embedding Based on Node Migration and Link Remapping

Heuristic Survivable Virtual Network Embedding Based on Node...

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2014 IEEE 7th Joint international Information Technology and Artificial Intelligence conference

作者： Zhu Qiang Wang Hui qiang Feng Guang sheng Lv Hong wu College of Computer Science and Technology Harbin Engineering University

Survivable virtual network embedding has been an hot issue in network virtualization research. Previous researches mainly use protection mechanisms to deal with this problem, which may bring excessive consumption to the substrate network. In this paper, the survivable virtual network embedding problem is considered as an integer linear programming model. We propose a heuristic survivable virtual network embedding based on node migration and link remapping to slove this problem. Artificial bee colony algorithm is used to achieve the optimal solution of virtual network embedding. If the substrate network node fails, we migrate the failed node to a normal node based on the greed rules first. then, we use the shortest path to provide the best bandwidth principle to remap the affected links that connect with the failed node. the simulation results shows that our approach has better performance in the acceptance rate, recovery rate and the load strength than the existing solutions.

关键词： network virtualization Survivable virtual network embedding Integer Linear programming artificial bee colony algorithm

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Model-free Resilient Controller Design based on Incentive Feedback Stackelberg Game and Q-learning

Model-free Resilient Controller Design based on Incentive Fe...

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Industrial Cyber-Physical Systems (ICPS)

作者： Jiajun Shen the Fengjun Li Morteza Hashemi Huazhen Fang The Department of Mechanical Engineering The University of Kansas Lawrence KS USA The Department of Electrical Engineering and Computer Science The University of Kansas Lawrence KS USA

ISBN: (数字)9798350363012

ISBN: (纸本)9798350363029

In the swift evolution of Cyber-Physical Systems (CPSs) within intelligent environments, especially in the industrial domain shaped by Industry 4.0, the surge in development brings forth unprecedented security challenges. this paper explores the intricate security issues of Industrial CPSs (ICPSs), with a specific focus on the unique threats presented by intelligent attackers capable of directly compromising the controller, thereby posing a direct risk to physical security. Within the framework of hierarchical control and incentive feedback Stackelberg game, we design a resilient leading controller (leader) that is adaptive to a compromised following controller (follower) such that the compromised follower acts cooperatively with the leader, aligning its strategies with the leader’s objective to achieve a team-optimal solution. First, we provide sufficient conditions for the existence of an incentive Stackelberg solution when system dynamics are known. then, we propose a Q-learning-based Approximate Dynamic programming (ADP) approach for the online resolution of the incentive Stackelberg solution without requiring prior knowledge of system dynamics. Last but not least, we prove the convergence of our approach to the optimum.

关键词： Sufficient conditions Q-learning System dynamics Games Cyber-physical systems Dynamic programming Fourth Industrial Revolution

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Enabling semantics to improve detection of data races and misuses of lock-free data structures

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CONCURRENCY AND COMPUTATION-PRACTICE & EXPERIENCE 2017年第15期29卷

作者： Dolz, Manuel F. Astorga, David Del Rio Fernandez, Javier Torquati, Massimo Garcia, Jose Daniel Garcia-Carballeira, Felix Danelutto, Marco Univ Carlos III Madrid Dept Comp Sci Madrid 28911 Spain Univ Pisa Dept Comp Sci I-56127 Pisa Italy

the rapid progress of multi/many-core architectures has caused data-intensive parallel applications not yet fully optimized to deliver the best performance. In the advent of concurrent programming, frameworks offering structured patterns have alleviated developers' burden adapting such applications to multithreaded architectures. While some of these patterns are implemented using synchronization primitives, others avoid them by means of lock-free data mechanisms. However, lock-free programming is not straightforward, ensuring an appropriate use of their interfaces can be challenging, since different memory models plus instruction reordering at compiler/processor levels can interfere in the occurrence of data races. the benefits of race detectors are formidable in this sense;however, they may emit false positives if are unaware of the underlying lock-free structure semantics. To mitigate this issue, this paper extends threadSanitizer, a race detection tool, with the semantics of 2 lock-free data structures: the single-producer/single-consumer and the multiple-producer/multiple-consumer queues. With it, we are able to drop false positives and detect potential semantic violations. the experimental evaluation, using different queue implementations on a set of benchmarks and real applications, demonstrates that it is possible to reduce, on average, 60% the number of data race warnings and detect wrong uses of these structures.

关键词： data race detectors parallel programming semantics wait- lock-free data structures

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Incentivizing EVs to Participate in V2B Interactions using the Stackelberg Game

Incentivizing EVs to Participate in V2B Interactions using t...

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Energy, Electrical and Power Engineering (CEEPE), international conference on

作者： Zixuan Wei Wai Kin Victor Chan Yi Zhang Yinliang Xu Linwei Sang Rongtao Ye Tsinghua Shenzhen International Graduate School Tsinghua-Berkeley Shenzhen Institute Tsinghua University Shenzhen China Tsinghua Shenzhen International Graduate School Institute of Future Human Habitats Tsinghua University Shenzhen China

ISBN: (数字)9798350375794

ISBN: (纸本)9798350375800

V2B(Vehicle-to-Building) is an economic proposition of the V2X(Vehicle-to-Everything) technology. It has been demonstrated that V2B technology may effectively increase the usage of renewable energy. However, there is scant evidence that Grid incentives might indirectly encourage EVs to engage in V2B activities by affecting building behavior. In this paper, the Stackelberg game model is used to describe the two-stage game between the buildings, and EVs, assuming that both EVs and buildings aim at maximizing the profits or minimizing the costs from green activities. the study incorporates EVs dissatisfaction costs, employing the Stevens' Law method to quantify EVs responsiveness. Mathematical transformations, including piecewise linearization, the Big-M method, and KKT constraints, are utilized to reformulate the problem as a Mixed-Integer Linear programming (MILP) problem. A simulation result shows that the new incentive policy can effectively motivate buildings and EVs to join the low-carbon interactions, which can contribute to the peak shaving of grid. this work also provides further guidance for the low-carbon strategies of buildings, laying the groundwork for incentives from the grid to buildings to EVs.

关键词： Renewable energy sources Costs Green buildings Sensitivity analysis Simulation Scalability Buildings

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Content-Based Emotional Semantic Recognition and Retrieval of Male T-Shirt Images

Content-Based Emotional Semantic Recognition and Retrieval o...

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2018 7th international conference on Advanced Materials and Computer Science(ICAMCS 2018)

作者： Zhang Xiaomeng Zhang Haibo Zhang Zekun Information Center Beijing Institute of Fashion Technology Library Beijing Institute of Fashion Technology

Emotional semantics identifying and retrieving of images is one of the hotspots in current *** can provide certain basis for clothing design,clothing wearing and clothing *** a kind of male T-shirt,the recognition and retrieval of emotional semantics of images has also attracted much *** the basis of establishing the relationship between emotional semantic space and low-level features of T-shirt images based on the previous knowledge of clothing field,40 T-shirt images were trained and a machine learning model was established by using support vector machine(SVM).the quantitative mapping relationship between emotional semantic space and low-level features of T-shirt images was established,which could be calculated *** emotional semantics of the image is calculated to realize the emotional semantic recognition of the *** measure algorithm is also used to measure the emotional semantics of images,and image emotional semantic retrieval is *** the experiment of software programming and development,a better recognition and retrieval effect have been achieved,thus verifying the feasibility and effectiveness of emotional semantic analysis of images combined with domain knowledge.

关键词： male T-shirt emotional semantic support vector machine image recognition image retrieval

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Embedded software “capsule works” for switching power supply

Embedded software “capsule works” for switching power supp...

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international conference on Telecommunications Energy (INTELEC)

作者： Yoshimichi Nakamura Yutaka Nishikori Hirofumi Matsuo WINZ Inc. Nagasaki University Japan Texas Instruments Japan Corporation Limited Nagasaki University Japan Nagasaki University Japan

the many geologists have been giving us words of warning that recently the first extraordinary phenomenon of abrupt increase in CO 2 has been occurring in the earth history for the latest several hundred millions. this extraordinary phenomenon is one of the most serious problems to be solved by any scientific methods. In the telecommunication fields, the electric energy is processed adequately by the switching power supply, that is employed to get the energy saving. therefore, the digitally controlled switching power supply is required to achieve the intellectual energy saving systematically. Especially, it is more effective in the distributed power supply because the opportunity of the energy control is enlarged by the embedded software. It is important to realize the compatibility between the high reliability and functional complexity in case of using the embedded software in microcontrollers and digital signal processors(DSPs) that is, even when the function increases, the reliability has to be kept high. However, when the embedded software performs the real-time control of the telecommunication system, the bug of the software causes the serious system trouble. therefore, it is strongly required that the software bug is removed perfectly. this requirement is achieved by the proposed embedded software, that is, "capsule works" the proposed capsule works has the following features; 1) common structure, 2) input, process and output, 3)unity function, 4)small code, 5)periodic repeat operation, 6) freedom of the reaction speed, 7) setting of the process order.

关键词： Software Power supplies programming Digital control Software reliability Reliability Digital signal processing

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Optimal Allocation of Energy Storage System in Transmission System Considering Wind Power

Optimal Allocation of Energy Storage System in Transmission ...

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international Conf on Electrical and Electronic Engineering (ICEEE)

作者： Ahmad K. AL Ahmad Reza Sirjani Eastern Mediterranean University (EMU) Gazimagusa Northern Cyprus Mersin 10 Turkey

ISBN: (数字)9781728167886

ISBN: (纸本)9781728167893

Wind power uncertainties should be considered in power system operation and planning. Energy storage system (ESS) can facilitate wind power integration in the energy system. However, maximum benefits can be achieved by optimal determination of the location and sizing of ESSs. In this paper, five-point estimation method is utilized to discretise the wind power distribution into five discrete distributions. Combining the discretizing method with a multi-objective hybrid particle swarm optimisation (MOPSO) and non-dominated sorting genetic algorithm (NSGAII), a hybrid probabilistic optimisation algorithm is constructed. the hybrid algorithm aims to search for the best site and size of energy storage system (ESSs) and considers the power uncertainties of wind farm. System's total expected cost restricted by investment budget, total expected voltage deviation and total expected carbon emission are the objective functions to be minimised. IEEE 30-bus system is adopted to perform the case studies using the hybrid algorithm. the simulation results demonstrate the effectiveness of the hybrid method in solving the optimal allocation problem of ESSs and considering the uncertainties of wind farms' output power.

关键词： Wind power generation Optimization Uncertainty Estimation Investment Linear programming Generators

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Assessment of Evolutionary programming Models for Single-Objective Optimization

Assessment of Evolutionary Programming Models for Single-Obj...

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IEEE international Power Engineering and Optimization conference

作者： Nur Izzati Abdul Aziz Shahril Irwan Sulaiman Ismail Musirin Sulaiman Shaari Faculty of Electrical Engineering Universiti Teknologi MARA Faculty of Applied Sciences Universiti Teknologi MARA

ISBN: (纸本)9781467350723

this paper presents an assessment of different evolutionary programming (EP) techniques for solving single-objective optimization problem. Evolutionary programming has been widely used and applied with success in solving many kinds of optimization problem. However there is no benchmark to test which techniques of EP models will give a better result in solving single objective optimization. three distinct EP models used are classical evolutionary programming (CEP), fast evolutionary programming (FEP) and improved fast evolutionary programming (IFEP). these EP techniques considered here differ in terms of search operator- Gaussian, Cauchy and mixed Gaussian-Cauchy during mutation process. therefore, selected test functions are used as a benchmark to test which models perform better for single-objective optimization. the three EP models showed that FEP is very good in having lowest computation time and significantly better than CEP and IFEP in terms of fitness solution.

关键词： Evolutionary programming (EP) Gaussian mutation Cauchy mutation Test function

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Transfer Learning for Few-Shot Infrared Remote Sensing Image Denoising Based on Improved CycleGAN

Transfer Learning for Few-Shot Infrared Remote Sensing Image...

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IEEE international conference on Automation, Electronics and Electrical Engineering (AUTEEE)

作者： Haoyu Wang Haitao Yang Jinyu Wang Xixuan Zhou Yifan Xu Mingdong Yang Graduate School Space Engineering University Beijing China Space Engineering University Beijing China

ISBN: (数字)9798350377033

ISBN: (纸本)9798350377040

Currently, the lack of training data gradually becomes an important factor restricting the further development of the infrared remote sensing image denoising method based on deep learning. To solve this problem, we propose a few-shot infrared remote sensing image de noising algorithm based on improved CycleGAN. the method first uses gray scale remote sensing dataset to train the network and get a pre-trained model that fully learns the features of remote sensing images. then we adopt the Transfer learning approach to use few-shot real infrared remote sensing dataset for the second stage of training based on this pre-trained model to obtain a new model with the ability of denoising for infrared remote sensing images. In addition to this, we use a residual module containing SCConv to build the generator to reduce the number of parameters in the pre-training process, and we also add the MSE loss to the total objective function of the network to improve the retention of non-noise features in the denoising process. Experiments show that our method can effectively remove noise from infrared remote sensing images and the denoising effect is better than other similar algorithms.

关键词： Training Satellites Noise reduction Transfer learning Noise Training data Linear programming Generators Remote sensing Image denoising

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