检索结果-内蒙古大学图书馆

Towards Personalized Privacy-Preserving Incentive for Truth Discovery in Crowdsourced Binary-Choice Question Answering

学校读者我要写书评

暂无评论

Towards Personalized Privacy-Preserving Incentive for Truth ...

IEEE Annual Joint Conference: INFOCOM, IEEE computer and Communications Societies

作者： Peng Sun Zhibo Wang Yunhe Feng Liantao Wu Yanjun Li Hairong Qi Zhi Wang State Key Laboratory of Industrial Control Technology Zhejiang University P. R. China School of Cyber Science and Engineering Wuhan University P. R. China Department of Electrical Engineering and Computer Science University of Tennessee Knoxville USA School of Computer Science and Technology Zhejiang University of Technology P. R. China

ISBN: (数字)9781728164120

ISBN: (纸本)9781728164137

Truth discovery is an effective tool to unearth truthful answers in crowdsourced question answering systems. Incentive mechanisms are necessary in such systems to stimulate worker participation. However, most of existing incentive mechanisms only consider compensating workers' resource cost, while the cost incurred by potential privacy leakage has been rarely incorporated. More importantly, to the best of our knowledge, how to provide personalized payments for workers with different privacy demands remains uninvestigated thus far. In this paper, we propose a contract-based personalized privacy-preserving incentive mechanism for truth discovery in crowdsourced question answering systems, named PINTION, which provides personalized payments for workers with different privacy demands as a compensation for privacy cost, while ensuring accurate truth discovery. The basic idea is that each worker chooses to sign a contract with the platform, which specifies a privacy-preserving level (PPL) and a payment, and then submits perturbed answers with that PPL in return for that payment. Specifically, we respectively design a set of optimal contracts under both complete and incomplete information models, which could maximize the truth discovery accuracy, while satisfying the budget feasibility, individual rationality and incentive compatibility properties. Experiments on both synthetic and real-world datasets validate the feasibility and effectiveness of PINTION.

关键词： Privacy Knowledge discovery Crowdsourcing Contracts Task analysis Drugs

Diminishing stepsize methods for nonconvex composite problems via ghost penalties: From the general to the convex regular constrained case

学校读者我要写书评

暂无评论

arXiv 2020年

作者： Facchinei, F. Kungurtsev, Vyacheskav Lampariello, Lorenzo Scutari, Gesualdo Sapienza University of Rome Department of Computer Control and Management Engineering Antonio Ruberti Rome Italy Czech Technical University in Prague Department of Computer Science Faculty of Electrical Engineering Prague Czech Republic Roma Tre University Department of Business Studies Rome Italy Purdue University School of Industrial Engineering West-LafayetteIN United States

In this paper we first extend the diminishing stepsize method for nonconvex constrained problems presented in [4] to deal with equality constraints and a nonsmooth objective function of composite type. We then consider the particular case in which the constraints are convex and satisfy a standard constraint qualification and show that in this setting the algorithm can be considerably simplified, reducing the computational burden of each iteration. Copyright © 2020, The Authors. All rights reserved.

关键词： Constrained optimization

Generating infrared image from visible image using Generative Adversarial Networks

学校读者我要写书评

暂无评论

Generating infrared image from visible image using Generativ...

2019 IEEE International Conference on Unmanned Systems, ICUS 2019

作者： An, Lei Zhao, Jiajia Di, Huijun Beijing Institute of Technology School of Computer Science and Technology Beijing China Beijing Electro-Mechanical Engineering Institute Science and Technology on Complex System Control and Intelligent Agent Coorperation Laboratory Beijing China

ISBN: (纸本)9781728137926

Infrared images have properties that are unaffected by illumination compared to visible images, object can be clearly recognized at day or night. Therefore, it is a better choice to use infrared images when training deep learning algorithms in unmanned systems. However, how to obtain a large number of infrared images makes it possible to train deep learning algorithm, which is the focus of our attention. In contrast to difficulties in direct shooting, computer simulations can generate large infrared images from visible images. But models that are trained on simulated data usually do not translate well to real scenarios. To bridge the domain gap between simulated and real infrared images, we exploit recent advances in paired image-to-image translation. We extend Pixel2Pixel to generate infrared image from visible image and propose a novel way of multilayer semantic information fusion, which significantly improves the quality of generated images. Finally, the image generated by our proposed PixelPro network is almost consistent with the real image distribution, achieved the purpose of expanding the dataset. © 2019 IEEE.

关键词： Generative adversarial networks

Reduced reference perceptual quality model and application to rate control for 3D point cloud compression

学校读者我要写书评

暂无评论

arXiv 2020年

作者： Liu, Qi Yuan, Hui Hamzaoui, Raouf Su, Honglei Hou, Junhui Yang, Huan School of Information Science and Engineering Shandong University Qingdao266237 China School of Control Science and Engineering Shandong University Ji’nan250061 China School of Engineering and Sustainable Development De Montfort University Leicester United Kingdom Electronic Information Qingdao University Qingdao266071 China Department of Computer Science City University of Hong Kong Kowloon Hong Kong College of Computer Science and Technology Qingdao University Qingdao266071 China

In rate-distortion optimization, the encoder settings are determined by maximizing a reconstruction quality measure subject to a constraint on the bit rate. One of the main challenges of this approach is to define a quality measure that can be computed with low computational cost and which correlates well with perceptual quality. While several quality measures that fulfil these two criteria have been developed for images and video, no such one exists for 3D point clouds. We address this limitation for the video-based point cloud compression (V-PCC) standard by proposing a linear perceptual quality model whose variables are the V-PCC geometry and color quantization parameters and whose coefficients can easily be computed from two features extracted from the original 3D point cloud. Subjective quality tests with 400 compressed 3D point clouds show that the proposed model correlates well with the mean opinion score, outperforming state-of-the-art full reference objective measures in terms of Spearman rank-order and Pearson¡¯s linear correlation coefficient. Moreover, we show that for the same target bit rate, rate-distortion optimization based on the proposed model offers higher perceptual quality than rate-distortion optimization based on exhaustive search with a point-to-point objective quality metric. © 2020, CC-BY.

关键词： Signal distortion

Erratum: An improved point spread function for complex susceptibility-based magnetic particle imaging (2022 Meas. Sci. Technol. 33 095402)

学校读者我要写书评

暂无评论

Measurement Science and Technology 2023年第7期34卷 079601-079601页

作者： Tao Jiang Wentong Yi Zhongzhou Du Wenzhong Liu School of Artificial Intelligence and Automation Huazhong University of Science and Technology Wuhan 430074 People’s Republic of China China-Belt and Road Joint Laboratory on Measurement and Control Technology Wuhan 430074 People’s Republic of China School of Computer and Communication Engineering Zhengzhou University of Light Industry Zhengzhou 450001 People’s Republic of China

New relaxed stability and stabilization conditions for differential linear repetitive processes ⁎

学校读者我要写书评

暂无评论

IFAC-PapersOnLine 2020年第2期53卷 1462-1467页

作者： Robert Maniarski Wojciech Paszke Eric Rogers Marcin Boski Institute of Control and Computation Engineering University of Zielona Góra ul. Szafrana 2 65-516 Zielona Góra Poland School of Electronics and Computer Science University of Southampton Southampton SO17 1BJ UK

The paper develops new results on the stability analysis of differential linear repetitive processes. These processes are a distinct class of two-dimensional systems that arise in the modelling of physical processes and also the existing systems theory for them can be used to effect in solving control problems for other classes of systems, including iterative learning control design. This paper uses a version of the Kalman-Yakubovich-Popov Lemma to develop relaxed conditions for the stability property in terms of linear matrix inequalities. The main result is reduced conservatism in applying tests for the stability property with an extension to control law design. A numerical example to illustrate the application of the new results is also given.

关键词： Repetitive processes stability along the pass linear matrix inequalities finite frequency domain

Adaptive Variational Mode Time-frequency Analysis of Ship Radiated Noise

学校读者我要写书评

暂无评论

Adaptive Variational Mode Time-frequency Analysis of Ship Ra...

International Conference on Information Science and control engineering (ICISCE)

作者： Haoyi Zhang Naveed Ur Rehman Junejo Weitao Sun Hailan Chen Jiaquan Yan Fujian Provincial Key Laboratory of Information Processing and Intelligent Control College of Computer and Control Engineering Minjiang University Fuzhou China Ilma University Karachi Pakistan School of Marine Science and Technology Northwestern Polytechnical University Xi’an China School of Science Jimei University Xiamen China Fujian Provincial Key Laboratory of Information Processing and Intelligent Control Minjiang University Fuzhou China

In this paper, we have proposed a novel time-frequency analysis method implementing adaptive variational mode decomposition (AVMD) and Wigner-Ville Distribution (WVD) to visualize the local features of ship radiated noise. Unlike the traditional methods are invalid under low signal to noise ratio (SNR), the proposed method is suitable for constructing time-frequency (TF) image with the capability of mining the local feature information accurately. Firstly, we employ complete ensemble empirical mode decomposition with adaptive noise (CEEMDAN) on the raw signal to determine the numbers of variational modes which is equal to intrinsic mode functions (IMFs) numbers. Secondly, we perform VMD algorithm to extract the local features absolutely by decomposing the raw signal into IMFs, where we set the IMFs gained by CEEMDAN as the input parameter of VMD. Finally, we adopt Wigner-Ville distribution (WVD) to draw TF signatures of all the IMFs, then superpose them to reconstruct the objected signal that can solve the cross-item problem. We have conducted the comparative experiments by the real oceanic data. Under the different SNRs, we have verified the effectiveness and robustness of the proposed method, also obtained better performance in terms of resolution than compared algorithm.

关键词： Time-frequency analysis Image resolution Sea measurements Feature extraction Robustness Time measurement Noise robustness

Optimization-based on-road path planning for articulated vehicles

学校读者我要写书评

暂无评论

arXiv 2020年

作者： Oliveira, Rui Ljungqvist, Oskar Lima, Pedro F. Wahlberg, Bo Division of Decision and Control Systems School of Electrical Engineering and Computer Science KTH Royal Institute of Technology Stockholm Sweden Division of Automatic Control Linköping University Linköping Sweden Scania CV Autonomous Transport Solutions Södertälje Sweden

Maneuvering an articulated vehicle on narrow road stretches is often a challenging task for a human driver. Unless the vehicle is accurately steered, parts of the vehicle’s bodies may exceed its assigned drive lane, resulting in an increased risk of collision with surrounding traffic. In this work, an optimization-based path-planning algorithm is proposed targeting on-road driving scenarios for articulated vehicles composed of a tractor and a trailer. To this end, we model the tractor-trailer vehicle in a road-aligned coordinate frame suited for on-road planning. Based on driving heuristics, a set of different optimization objectives is proposed, with the overall goal of designing a path planner that computes paths which minimize the off-track of the vehicle bodies swept area, while remaining on the road and avoiding collision with obstacles. The proposed optimization-based path-planning algorithm, together with the different optimization objectives, is evaluated and analyzed in simulations on a set of complicated and practically relevant on-road planning scenarios using the most challenging tractor-trailer dimensions. Copyright © 2020, The Authors. All rights reserved.

关键词： Motion planning

Human-perception-oriented pseudo analog video transmissions with deep learning

学校读者我要写书评

暂无评论

arXiv 2020年

作者： Tang, Xiao-Wei Huang, Xin-Lin Hu, Fei Shi, Qingjiang Department of Control Science and Engineering Tongji University Shanghai201804 China Department of Information and Communication Engineering Tongji University Shanghai201804 China Department of Electrical and Computer Engineering University of Alabama TuscaloosaAL35487 United States School of Software Engineering Tongji University Shanghai201804 China

Recently, pseudo analog transmission has gained increasing attentions due to its ability to alleviate the cliff effect in video multicast scenarios. The existing pseudo analog systems are optimized under the minimum mean squared error criterion. However, their power allocation strategies do not take the perceptual video quality into consideration. In this paper, we propose a human-perception-based pseudo analog video transmission system named ROIC-Cast, which aims to intelligently enhance the transmission quality of the region-of-interest (ROI) parts. Firstly, the classic deep learning based saliency detection algorithm is adopted to decompose the continuous video sequences into ROI and non-ROI blocks. Secondly, an effective compression method is used to reduce the data amount of side information generated by the ROI extraction module. Then, the power allocation scheme is formulated as a convex problem, and the optimal transmission power for both ROI and non-ROI blocks is derived in a closed form. Finally, the simulations are conducted to validate the proposed system by comparing with a few of existing systems, e.g., KMV-Cast, SoftCast, and DAC-RAN. The proposed ROIC-Cast can achieve over 4.1dB peak signal-to-noise ratio gains of ROI compared with other systems, given the channel signal-to-noise ratio as -5dB, 0dB, 5dB, and 10dB, respectively. This significant performance improvement is due to the automatic ROI extraction, high-efficiency data compression as well as adaptive power allocation. Copyright © 2020, The Authors. All rights reserved.

关键词： Signal to noise ratio