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Proceedings of the ACM Symposium on Applied Computing 2007年 82-83页

作者： Bao, Depei Yang, Zehong Song, Yixu State Key Lab of Intelligent Technology and Systems Department of Computer Science Tsinghua University Beijing China

ISBN: (纸本)1595934804;9781595934802

The image projection has been proven to be an effective method for extracting image features. This paper utilizes multiple facial cues extracted by the projection function for driver vigilance monitoring. To measure vigilance, we calculate two metrics: PERCLOS and PERROTAT from facial state estimation. The main advantage of the presented system in contrast to existing ones is the usage of cheap equipment (only one monocular camera) to achieve a good cost-performance ratio and fast computation time. Copyright 2007 ACM.

关键词： Fatigue testing

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Progress in silicon-based reconfigurable and programmable all-optical signal processing chips

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Frontiers of Optoelectronics 2025年第1期18卷 10-10页

作者： Xu, Jing Dong, Wenchan Huang, Qingzhong Zhang, Yujia Yin, Yuchen Zhao, Zhenyu Zeng, Desheng Gao, Xiaoyan Gu, Wentao Yang, Zihao Li, Hanghang Han, Xinjie Geng, Yong Zhai, Kunpeng Chen, Bei Fu, Xin Lei, Lei Wu, Xiaojun Dong, Jianji Su, Yikai Li, Ming Liu, Jianguo Zhu, Ninghua Guo, Xuhan Zhou, Heng Wen, Huashun Qiu, Kun Zhang, Xinliang Wuhan National Laboratory for Optoelectronics and School of Optical and Electronic Information Huazhong University of Science and Technology Wuhan430074 China Optics Valley Laboratory Wuhan430074 China State Key Laboratory of Advanced Optical Communication Systems and Networks Department of Electronic Engineering Shanghai Jiao Tong University Shanghai200240 China Key Lab of Optical Fiber Sensing and Communication Networks University of Electronic Science and Technology of China Chengdu611731 China Institute of Intelligent Photonics Nankai University Tianjin300071 China Key Laboratory of Optoelectronic Materials and Devices Institute of Semiconductors Chinese Academy of Sciences Beijing100083 China College of Physics and Optoelectronic Engineering Shenzhen University Shenzhen518060 China School of Electronic and Information Engineering Beihang University Beijing100191 China

Taking the advantage of ultrafast optical linear and nonlinear effects, all-optical signal processing (AOSP) enables manipulation, regeneration, and computing of information directly in optical domain without resorting to electronics. As a promising photonic integration platform, silicon-on-insulator (SOI) has the advantage of complementary metal oxide semiconductor (CMOS) compatibility, low-loss, compact size as well as large optical nonlinearities. In this paper, we review the recent progress in the project granted to develop silicon-based reconfigurable AOSP chips, which aims to combine the merits of AOSP and silicon photonics to solve the unsustainable cost and energy challenges in future communication and big data applications. Three key challenges are identified in this project: (1) how to finely manipulate and reconfigure optical fields, (2) how to achieve ultra-low loss integrated silicon waveguides and significant enhancement of nonlinear effects, (3) how to mitigate crosstalk between optical, electrical and thermal components. By focusing on these key issues, the following major achievements are realized during the project. First, ultra-low loss silicon-based waveguides as well as ultra-high quality microresonators are developed by advancing key fabrication technologies as well as device structures. Integrated photonic filters with bandwidth and free spectral range reconfigurable in a wide range were realized to finely manipulate and select input light fields with a high degree of freedom. Second, several mechanisms and new designs that aim at nonlinear enhancement have been proposed, including optical ridge waveguides with reverse biased PIN junction, slot waveguides, multimode waveguides and parity-time symmetry coupled microresonators. Advanced AOSP operations are verified with these novel designs. Logical computations at 100 Gbit/s were demonstrated with self-developed, monolithic integrated programmable optical logic array. High-dimensional multi-valu

关键词： Four wave mixing

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An improved ant colony algorithm and its application in routing computation of satellite networks

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IMACS Multiconference on "Computational Engineering in systems Applications", CESA

作者： Fei, Long Fuchun, Sun Dept. of Computer Science and Technology State Key Lab. of Intelligent Technology and Systems Beijing 100084 China

ISBN: (纸本)7302139229

In the paper, the existing colony algorithm is improved for the routing computation of satellite networks with rapidly-changed network topology. A virtual topology strategy with new grouping is first proposed to deal with the problem of the rapidly-changed network topology, and then the improved ant colony algorithm is applied in routing optimization of satellite networks. Finally, the good performance of the improved algorithm is illustrated by simulations.

关键词： Network topology

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Investigative data mining: Identifying key nodes in terrorist networks

Investigative data mining: Identifying key nodes in terroris...

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10th IEEE International Multitopic Conference 2006, INMIC

作者： Shaikh, Muhammad Akram Jiaxin, Wang State Key Lab. of Intelligent Technology and Systems Department of Computer Science and Technology Tsinghua University Beijing China

ISBN: (纸本)142440794X

The concern about national security has increased significantly since the 9/11 attacks. However, information overload and lack of advanced, automated techniques hinders the effective analysis of criminal and terrorist activities. Data mining applied in the context of law enforcement and intelligence analysis, called Investigative Data Mining (IDM), holds the promise of alleviating such problems. In this paper, we present an understanding to show how IDM works and the importance of this approach in identifying key nodes in terrorist networks. © 2006 IEEE.

关键词： Data mining

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Pulse Coupled Neural Network Edge-Based Algorithm for Image Text Locating

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Tsinghua Science and technology 2011年第1期16卷 22-30页

作者：张昕孙富春 State Key Lab of Intelligent Technology and Systems Tsinghua National Laboratory for Information Science and TechnologyDepartment of Computer Science and TechnologyTsinghua University

This paper presents a method for locating text based on a simplified pulse coupled neural network （PCNN）. The PCNN generates a firings map in a similar way to the human visual system with non-linear image processing. The PCNN is used to segment the original image into different planes and edges detected using both the PCNN firings map and a phase congruency detector. The different edges are integrated using an automatically adjusted weighting coefficient. Both the simplified PCNN and the phase congruency energy model in the frequency domain imitate the human visual system. This paper shows how to use PCNN by changing the compute space from the spatial domain to the frequency domain for solving the text location problem. The algorithm is a simplified PCNN edge-based （PCNNE） algorithm. Three comparison tests are used to evaluate the algorithm. Tests on large data sets show PCNNE efficiently detects texts with various colors, font sizes, positions, and uneven illumination. This method outperforms several traditional methods both in text detection rate and text detection accuracy.

关键词： simplified pulse coupled neural network phase congruency text location

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Design and analysis of a network coding algorithm for ad hoc networks

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Journal of Central South University 2015年第4期22卷 1358-1365页

作者：王远徐华贾培发 State Key Lab of Intelligent Technology & Systems (Tsinghua University) Tsinghua National Lab for Information Science & Technology (Tsinghua University) Department of Computer Science & Technology Tsinghua University Unit 95899 of Air Force of CPLA

Network coding is proved to have advantages in both wireline and wireless networks. Especially, appropriate network coding schemes are programmed for underlined networks. Considering the feature of strong node mobility in aviation communication networks, a hop-by-hop network coding algorithm based on ad hoc networks was proposed. Compared with COPE-like network coding algorithms, the proposed algorithm does not require overhearing from other nodes, which meets confidentiality requirements of aviation communication networks. Meanwhile, it does save resource consumption and promise less processing delay. To analyze the performance of the network coding algorithm in scalab.e networks with different traffic models, a typical network was built in a network simulator, through which receiving accuracy rate and receiving delay were both *** simulation results indicate that, by virtue of network coding, the proposed algorithm works well and improves performance significantly. More specifically, it has better performance in enhancing receiving accuracy rate and reducing receiving delay, as compared with any of the traditional networks without coding. It was applied to both symmetric and asymmetric traffic flows and, in particular, it achieves much better performance when the network scale becomes larger. Therefore, this algorithm has great potentials in large-scale multi-hop aviation communication networks.

关键词： ad hoc network network coding algorithm aviation communication network

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Deep multimodal fusion by channel exchanging 34

Deep multimodal fusion by channel exchanging

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34th Conference on Neural Information Processing systems, NeurIPS 2020

作者： Wang, Yikai Huang, Wenbing Sun, Fuchun Xu, Tingyang Rong, Yu Huang, Junzhou State Key Lab on Intelligent Technology and Systems Department of Computer Science and Technology Tsinghua University China Tencent AI Lab.

Deep multimodal fusion by using multiple sources of data for classification or regression has exhibited a clear advantage over the unimodal counterpart on various applications. Yet, current methods including aggregation-based and alignment-based fusion are still inadequate in balancing the trade-off between inter-modal fusion and intra-modal processing, incurring a bottleneck of performance improvement. To this end, this paper proposes Channel-Exchanging-Network (CEN), a parameter-free multimodal fusion framework that dynamically exchanges channels between sub-networks of different modalities. Specifically, the channel exchanging process is self-guided by individual channel importance that is measured by the magnitude of Batch-Normalization (BN) scaling factor during training. The validity of such exchanging process is also guaranteed by sharing convolutional filters yet keeping separate BN layers across modalities, which, as an add-on benefit, allows our multimodal architecture to be almost as compact as a unimodal network. Extensive experiments on semantic segmentation via RGB-D data and image translation through multi-domain input verify the effectiveness of our CEN compared to current state-of-the-art methods. Detailed ablation studies have also been carried out, which provably affirm the advantage of each component we propose. Our code is availab.e at https://***/yikaiw/CEN. © 2020 Neural information processing systems foundation. All rights reserved.

关键词： Semantics

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Discrete-time tracking control of robotic manipulators based on dynamic inversion using dynamic neural networks

Discrete-time tracking control of robotic manipulators based...

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Proceedings of the 2000 IEEE International Symposium on intelligent Control

作者： Sun, F.C. Sun, Z.Q. Zhang, R.J. Chen, Y.B. State Key Lab of Intelligent Technology & Systems Beijing China

A stable discrete time tracking control approach based on dynamic inversion using dynamic neural networks (DNN's) is developed in this paper for robotic manipulators with unknown dynamics nonlinearities. Two novel design technologies-dynamic inversion constructed by DNN's and the NN variable structure control, are used for adaptive tracking controller design. The robot control law is composed of the dynamic inversion of the DNN system, adaptive compensation and the NN variable structure control (VSC) components. The developed control scheme guarantees the global stability and tracking error convergence of the NN control system. Finally, the control performance of the proposed control approach is illustrated through the comparison studies with robot tracking control approach using static NN's (SNN's).

关键词： Discrete time control systems

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intelligent learning technique based-on fuzzy logic for multi-robot path planning

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Journal of Harbin Institute of technology(New Series) 2001年第3期8卷 222-227页

作者：孟庆春殷波熊建设魏天滨王旭柱王汝霖 Dept. of Electronics Engineering，Ocean University of Qingdao State Key Lab. of Intelligent Technology Systems，Tsinghua University Dept. of Electronics Engineering，Ocean University of Qingdao

Soccer robot system is a tremendously challenging intelligent system developed to mimic human soccer competition based on the multi discipline research: robotics, intelligent control, computer vision, etc. robot path planning strategy is a very important subject concerning to the performance and intelligence degree of the multi robot system. Therefore, this paper studies the path planning strategy of soccer system by using fuzzy logic. After setting up two fuzziers and two sorts of fuzzy rules for soccer system, fuzzy logic is applied to workspace partition and path revision. The experiment results show that this technique can well enhance the performance and intelligence degree of the system.

关键词： fuzzy logic multi agent system intelligent system robot path planning

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Adaptive neural control for a class of MIMO non-linear systems with guaranteed transient performance

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3rd International Symposium on Neural Networks, ISNN 2006 - Advances in Neural Networks

作者： Hu, Tingliang Zhu, Jihong Sun, Zengqi State Key Lab. of Intelligent Technology and Systems Deptartment of Computer Science and Technology Tsinghua University Beijing 100084 China

ISBN: (纸本)3540344373

A robust adaptive control scheme is presented for a class of uncertain continuous-time multi-input multi-output (MIMO) nonlinear systems. Within these schemes, multiple multi-layer neural networks are employed to approximate the uncertainties of the plant's nonlinear functions and robustifying control term is used to compensate for approximation errors. All parameter adaptive laws and robustifying control term are derived based on Lyapunov stability analysis so that all the signals in the closed loop are guaranteed to be semi-globally uniformly ultimately bounded and the tracking error of the output is proven to converge to a small neighborhood of zero. While the relationships among the control parameters, adaptive gains and robust gains are established to guarantee the transient performance of the closed loop system. © Springer-Verlag Berlin Heidelberg 2006.

关键词： Neural networks

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