检索结果-南通市图书馆

IEEE/CAA Journal of Automatica Sinica 2023年第3期10卷 700-710页

作者： Jie Wang Shaoyuan Li Yuanyuan Zou key laboratory of System Control and information processing Shanghai Jiao Tong UniversityShanghai 200240China IEEE

This paper studies the connectivity-maintaining consensus of multi-agent *** the impact of the sensing ranges of agents for connectivity and communication energy consumption,a novel communication management strategy is proposed for multi-agent systems so that the connectivity of the system can be maintained and the communication energy can be *** this paper,communication management means a strategy about how the sensing ranges of agents are adjusted in the process of reaching *** proposed communication management in this paper is not coupled with controller but only imposes a constraint for controller,so there is more freedom to develop an appropriate control strategy for achieving *** the multi-agent systems with this novel communication management,a predictive control based strategy is developed for achieving *** results indicate the effectiveness and advantages of our scheme.

关键词： Consensus energy-saving multi-agent system predictive control

A survey on high coherence visual media retargeting： recent advances and applications

在线全文

学校读者我要写书评

暂无评论

Frontiers of Computer Science 2016年第5期10卷 778-796页

作者： Weimin TAN Bo YAN School of Computer Science Shanghai Key Laboratory of Intelligent Information Processing Fudan University Shanghai 201203 China

The numerous works on media retargeting call for a thorough and comprehensive survey for reviewing and categorizing existing works and providing insights that can help future design of retargeting approaches and its applica- tions. First, we present the basic problem of media retarget- ing and detail state-of-the-art retargeting methods devised to solve it. Second, we review recent works on objective quality assessment of media retargeting, where we find that although these works are designed to make the objective assessment result in accordance with the subjective evaluation, they are only suitable for certain situations. Considering the subjective nature of aesthetics, designing objective assessment metric for media retargeting could be a promising area for investiga- tion. Third, we elaborate on other applications extended from retargeting techniques. We show how to apply the retarget- ing techniques in other fields to solve their challenging prob- lems, and reveal that retargeting technique is not just a simple scaling algorithm, but a thought or concept, which has great flexibility and is quite useful. We believe this review can help researchers and practitioners to solve the existing problems of media retargeting and bring new ideas in their works.

关键词： media retargeting quality assessment aesthet-ics enhancement image retrieval video synopsis

Towards human-leveled vision systems

在线全文

学校读者我要写书评

暂无评论

Science China(Technological Sciences) 2024年第8期67卷 2331-2349页

作者： DING JianHao HUANG TieJun State key laboratory of Multimedia information processing School of Computer SciencePeking UniversityBeijing 100871China

The human visual system is a complex and interconnected network comprising billions of neurons. It plays an essential role in translating environmental light stimuli into information that guides and shapes human perception and action. Research on the visual system aims to uncover the underlying neural structure principles of human visual perception and their possible ***, there are two main approaches: biological system analysis and simulation, artificial intelligence models based on deep learning. Here we aim to discuss the two approaches to human-level vision systems. Deep learning has significantly impacted the field of vision with achievements in representation, modeling, and hardware design. However, there is still a significant gap between deep learning models and the human visual system in terms of scalability, transferability, and sustainability. The progress of the biological visual system can help fill the gap by further understanding the properties and functions of different components of the system. We take the efforts of reconstructing the retina as an example to illustrate that even if we are unable to replicate the visual system on a computer right now, we can still learn a lot by combining existing research outcomes in neuroscience. At the end of the paper, we suggest tracing back to gradually build visual systems from the computational counterpart of biological structures to achieve a human-level vision system in the future.

关键词： human-leveled vision system deep learning biological visual system

A 90nm Passive RFID Tag's Custom Baseband Processor for Subthreshold Operation Below 0.3V

在线全文

学校读者我要写书评

暂无评论

Chinese Journal of Electronics 2017年第4期26卷 720-724页

作者： SHI Weiwei PENG Panfeng CHOY Chiu-Sing Shenzhen University Shenzhen key laboratory of Advanced Communication and information processing Chinese University of Hong Kong

In the design of passive radio frequency(RF) tags’ baseband processor, subthreshold timing and wide-range-Process, voltage and temperature(PVT) variation problems are the bottlenecks to extend the tag’s working range. A sophisticated processor is presented based on the EPC and ISO protocol. Power-aware ideas are applied to the entire processor, including data link portions. Innovatively, a novel custom ratioed logic style is adopted in critical logic paths to fundamentally speed up the circuit operations at ultra-low-voltage. The proposed baseband processor was fabricated in 90 nm CMOS, another baseband processor design by regular standard-cell-based design flow was also fabricated for comparison. In measurement the proposed design indicates good robustness in wide-range supply and frequency variation and much more competent for subthreshold operation. It can operate at minimum 0.28 V supply with power consumption of129 n W.

关键词： Subthreshold RFID Custom logic Low power

Position Optimization for Mobile Relay Communications with Constrained Energy over a Whole Horizontal Plane

在线全文

同方期刊数据库

学校读者我要写书评

暂无评论

China Communications 2023年第5期20卷 340-350页

作者： Haijun Tan Ning Xie Guangdong key laboratory of Intelligent information processing College of Electronics and Information EngineeringShenzhen UniversityShenzhen 518060China

This paper concerns the position optimization problem of a mobile relay over a whole horizontal *** problem is important because the position of a mobile relay directly affects the end-to-end performance,e.g.,reliability,connectivity,and data *** this paper,we propose a new position optimization scheme of a mobile relay over a whole horizontal plane based on the one-bit feedback information from the destination node,which improves the performance over the prior scheme whose position of the mobile relay is optimized over a fixed *** the proposed scheme,the mobile relay is equipped with merely one single onboard ***,no prior information about the positions of both the source node and the destination node is ***,the proposed scheme can work at low network resources scenario,which is particularly suitable for mobile relay communication with constrained energy,e.g.,the communications in a disaster area where the infrastructure is heavily damaged,volcano monitoring,and wireless powered communication *** to the characteristics of the proposed scheme,we further design two heuristic implementations to calculate the optimal position of a mobile relay over a whole horizontal *** first implementation has better steady performance whereas the second implementation has better convergence *** implement the proposed scheme and conduct an extensive performance comparison between the proposed scheme and prior schemes to verify the advantages of the proposed scheme.

关键词： mobile relay position optimization one bit feedback information whole horizontal plane energy constrained

Locally repairable codes with strict availability from linear functions

在线全文

学校读者我要写书评

暂无评论

Science China(information Sciences) 2018年第10期61卷 269-271页

作者： Yu ZHANG Haibin KAN Shanghai key laboratory of Intelligent information processing School of Computer ScienceFudan University

Dear editor,In distributed storage systems, data is divided into small pieces and stored across a number of nodes. Since node failures are inevitable, redundancy is necessary. During the long run, the redundancy needs to be replenished. Regenerating codes were proposed to decrease repair bandwidth of distributed storage systems by accessing more nodes and downloading less data from each node [1, 2]. Locally repairable codes [3] improve the repairability of distributed storage system by

关键词： Locally repairable codes with strict availability from linear functions

Some characteristics of logistic map over the finite field

在线全文

同方期刊数据库

学校读者我要写书评

暂无评论

Science China(information Sciences) 2019年第3期62卷 199-201页

作者： Bo YANG Xiaofeng LIAO Chongqing key laboratory of Nonlinear Circuits and Intelligent information processing College of Electronic and Information Engineering Southwest University

Dear editor,Chaotic maps have good characteristics, which include randomness, sensitivity to the initial value,and unpredictability. Hence, there have been many attempts to discuss the dynamic behavior of chaotic maps... 详细信息

关键词： Some characteristics of logistic map over the finite field

Distribution-dependent concentration inequalities for tighter generalization bounds

在线全文

同方期刊数据库

学校读者我要写书评

暂无评论

Science China(information Sciences) 2018年第4期61卷 232-245页

作者： Xinxing WU Junping ZHANG Department of Computer Shanghai Technical Institute of Electronics and Information Shanghai key laboratory of Intelligent information processing School of Computer Science Fudan University

Concentration inequalities play a crucial role in statistical learning theory because they are useful for deriving the generalization capacity of learning ***,they can be used to estimate the deviations between empiri... 详细信息

关键词： exp Distribution-dependent concentration inequalities for tighter generalization bounds

Multi-scale object detection by top-down and bottom-up feature pyramid network

在线全文

同方期刊数据库

学校读者我要写书评

暂无评论

Journal of Systems Engineering and Electronics 2019年第1期30卷 1-12页

作者： ZHAO Baojun ZHAO Boya TANG Linbo WANG Wenzheng WU Chen School of information and Electronics Beijing Institute of Technology Beijing key laboratory of Embedded Real-time information processing Technology Beijing Institute of Technology

While moving ahead with the object detection technology, especially deep neural networks, many related tasks, such as medical application and industrial automation, have achieved great success. However, the detection of objects with multiple aspect ratios and scales is still a key problem. This paper proposes a top-down and bottom-up feature pyramid network(TDBU-FPN),which combines multi-scale feature representation and anchor generation at multiple aspect ratios. First, in order to build the multi-scale feature map, this paper puts a number of fully convolutional layers after the backbone. Second, to link neighboring feature maps, top-down and bottom-up flows are adopted to introduce context information via top-down flow and supplement suboriginal information via bottom-up flow. The top-down flow refers to the deconvolution procedure, and the bottom-up flow refers to the pooling procedure. Third, the problem of adapting different object aspect ratios is tackled via many anchor shapes with different aspect ratios on each multi-scale feature map. The proposed method is evaluated on the pattern analysis, statistical modeling and computational learning visual object classes(PASCAL VOC)dataset and reaches an accuracy of 79%, which exhibits a 1.8% improvement with a detection speed of 23 fps.

关键词： convolutional neural network (CNN) feature pyramid network (FPN) object detection deconvolution.

Review Expert Collaborative Recommendation Algorithm Based on Topic Relationship

在线全文

学校读者我要写书评

暂无评论

IEEE/CAA Journal of Automatica Sinica 2015年第4期2卷 403-411页

作者： Shengxiang Gao Zhengtao Yu Linbin Shi Xin Yan Haixia Song School of information Engineering and Automation and key laboratory of Intelligent information processing Kunming University of Science and Technology

The project review information plays an important role in the recommendation of review experts. In this paper, we aim to determine review expert's rating by using the historical rating records and the final decision results on the previous projects, and by means of some rules, we construct a rating matrix for projects and experts. For the data sparseness problem of the rating matrix and the 'cold start' problem of new expert recommendation, we assume that those projects/experts with similar topics have similar feature vectors and propose a review expert collaborative recommendation algorithm based on topic relationship. Firstly, we obtain topics of projects/experts based on latent Dirichlet allocation (LDA) model, and build the topic relationship network of projects/experts. Then, through the topic relationship between projects/experts, we find a neighbor collection which shares the largest similarity with target project/expert, and integrate the collection into the collaborative filtering recommendation algorithm based on matrix factorization. Finally, by learning the rating matrix to get feature vectors of the projects and experts, we can predict the ratings that a target project will give candidate review experts, and thus achieve the review expert recommendation. Experiments on real data set show that the proposed method could predict the review expert rating more effectively, and improve the recommendation effect of review experts. © 2014 Chinese Association of Automation.

关键词： Algorithms Collaborative filtering Factorization Rating Statistics