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IEEE International Symposium on Circuits and systems

作者： Lin, Chin-Teng Liang, Sheng-Fu Chen, Yu-Chieh Hsu, Yung-Chi Ko, Li-Wei Brain Research Center University System of Taiwan Taiwan Dept. of Electrical and Control Engineering National Chiao-Tung University Hsinchu Taiwan Dept. of Biological Science and Technology National Chiao-Tung University Hsinchu Taiwan

ISBN: (纸本)9780780393899

The public security has become an important issue in recent years, especially, the safe manipulation and control of vehicles in preventing the growing number of traffic accident fatalities. Accidents caused by drivers' drowsiness have a high fatality rate due to the decline of drivers' abilities in perception, recognition, and vehicle control abilities while sleepy. Preventing such an accident requires a technique for detecting, estimating, and predicting the level of alertness of a driver and a mechanism to maintain the driver's maximum performance of driving. The ICAFNN is a fuzzy neural network (FNN) capable of parameter self-adapting and structure self-constructing to acquire a small number of fuzzy rules for interpreting the embedded knowledge of a system from the given training data set. Our experiments show that the ICAFNN can achieve significant improvements in the accuracy of drowsiness estimation compared with our previous works.

关键词： Electroencephalography

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Admission control with Elastic QoS for Video on Demand systems

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International Journal of Automation and computing 2012年第5期9卷 467-473页

作者： Fu-Shou Lin 1 Bao-Qun Yin 1,2 Jing Huang 1 Xu-Min Wu 1 1 Key Lab of Anhui Network Communication system and control, University of Science and technology of China, Hefei 230027, China 2 national Network New Media engineering research center, Institute of Acoustics, Chinese Academy of Science, Beijing 100190, China 1. Key Lab of Anhui Network Communication System and Control University of Science and Technology of China Hefei 230027 China 2. National Network New Media Engineering Research Center Institute of Acoustics Chinese Academy of Science Beijing 100190 China

In network service systems, satisfying quality of service (QoS) is one of the main objectives. Admission control and resource allocation strategy can be used to guarantee the QoS requirement. Based on partially observable Markov decision processes (POMDPs), this paper proposes a novel admission control model for video on demand (VOD) service systems with elastic QoS. Elastic QoS is also considered in resource allocation strategy. Policy gradient algorithm is often available to find the solution of POMDP problems, with a satisfactory convergence rate. Through numerical examples, it can be shown that the proposed admission control strategy has better performance than complete admission control strategy.

关键词： Partially observable Markov decision processes (POMDPs) admission control resource allocation elastic quality of service (QoS) policy gradient

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Improving Auction Mechanisms for Online Real-Time Bidding Advertising with a Two-stage Resale Model

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IFAC-PapersOnLine 2017年第1期50卷 13575-13580页

作者： Qin, Rui Yuan, Yong Wang, Fei-Yue The State Key Laboratory of Management and Control for Complex Systems Institute of Automation Chinese Academy of Sciences Beijing China Qingdao Academy of Intelligent Industries Qingdao China Research Center of Military Computational Experiments and Parallel System National University of Defense Technology Changsha China Beijing Engineering Research Center of Intelligent Systems and Technology Institute of Automation Chinese Academy of Sciences Beijing China

Real Time Bidding (RTB), widely publicized as one of the most promising big-data-driven business models for online computational advertising, has the potential of effectively monetizing user clicks and impressions via two-stage auctions with resale. Demand side platforms (DSPs) play a key role as intermediators in this auction process. Typically, the first-stage auctions will be conducted separately in each DSP to determine one winning advertiser registered on it, and in the second-stage auction, each DSP submits a bid based on its winning advertiser's bid to the ad exchange platform (AdX). The highest-bid DSP wins the ad impression from AdX and resells it to its winning advertiser in pursuit of the intermediate fee. This two-stage resale auction is a critical component in maintaining the effectiveness and efficiency of RTB ecosystems. In this paper, we strive to identify and design potential improvements for this auction mechanism with the aim of enhancing the total revenue of both advertisers and DSPs. We also validated our proposed auction mechanisms using the computational experiment approach. The experimental results indicate that our proposed mechanisms can make both advertisers and DSPs better off. Our work represents the first step towards a new research area of optimal mechanism design for RTB auctions, and is expected to provide useful managerial insights in RTB market practice. © 2017

关键词： Sales Commerce Machine design Auction mechanisms Computational advertisings Computational experiment Critical component Demand side Effectiveness and efficiencies Optimal mechanism designs Real time

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Color liquid crystal grating based color holographic 3D display system with large viewing angle

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Light(Science & Applications) 2024年第1期13卷 103-112页

作者： Di Wang Yi-Long Li Fan Chu Nan-Nan Li Zhao-Song Li Sin-Doo Lee Zhong-Quan Nie Chao Liu Qiong-Hua Wang School of Instrumentation and Optoelectronic Engineering Beihang UniversityBeijing 100191China State Key Laboratory of Virtual Reality Technology and Systems Beihang UniversityBeijing 100191China Display Technology Research Center Seoul National UniversityGwanak-ro 1Gwanak-guSeoul 08826Republic of Korea Key Lab of Advanced Transducers and Intelligent Control System Ministry of EducationTaiyuan University of TechnologyTaiyuan 030024China

Holographic 3D display is highly desirable for numerous applications ranging from medical treatments to military ***,it is challenging to simultaneously achieve large viewing angle and high-fidelity color reconstruction due to the intractable constraints of existing ***,we conceptually propose and experimentally demonstrate a simple and feasible pathway of using a well-designed color liquid crystal grating to overcome the inevitable chromatic aberration and enlarge the holographic viewing angle,thus enabling large-viewing-angle and color holographic 3D *** use of color liquid crystal grating allows performing secondary diffraction modulation on red,green and blue reproduced images simultaneously and extending the viewing angle in the holographic 3D display *** principle,a chromatic aberration-free hologram generation mechanism in combination with the color liquid crystal grating is proposed to pave the way for on such a superior holographic 3D *** proposed system shows a color viewing angle of~50.12°,which is about 7 times that of the traditional system with a single spatial light *** work presents a paradigm for achieving desirable holographic 3D display,and is expected to provide a new way for the wide application of holographic display.

关键词： holographic angle crystal

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Adaptive real-time networks design and simulation based on IC wedge-bonding control system

Adaptive real-time networks design and simulation based on I...

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2006 International technology and Innovation Conference (ITIC 2006)

作者： Tao Huang Ming Zhong YunFei Zhou National Numerical Control System Engineering Research Center Huazhong University of Science & Technology Wuhan 430074 China School of information engineering Wuhan University of Technology 430070 China

Aimed at the real-time requirement of the Ethernet in the IC wedge-bonding control system, a communication system with a neural-network-based adjustment module was presented. This new system consisted of a managing node and many control nodes. In order to reduce the real-time decline resulting from channel conflict, every control node was assigned a default priority and the control nodes with the same priority fell into one group. control nodes communicated among themselves and with the managing node based on the priority groups they belonged to. An adjustment module based on the continuous Hopfield neural network (CHNN) was employed in the managing node. The status data gathered from the control nodes were counted as inputs of the module; thus, through the self-learning function of the module, the priorities of these control nodes could have dynamic adjustments. The adjustment module distributed channel resources by way of dynamic priorities, ensuring not only that there was less communication conflict among nodes at a certain moment, but also that adaptive adjustments of priorities could be achieved to improve transmission efficiency. The analysis and the simulation results demonstrate that the method is correct and efficient.

关键词：

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research on workflow recognition for liver rupture repair surgery

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Mathematical Biosciences and engineering 2024年第2期21卷 1844-1856页

作者： Men, Yutao Zhao, Zixian Chen, Wei Wu, Hang Zhang, Guang Luo, Feng Yu, Ming Tianjin Key Laboratory for Advanced Mechatronic System Design and Intelligent Control School of Mechanical Engineering Tianjin University of Technology Tianjin300384 China Medical Support Technology Research Department Systems Engineering Institute Academy of Military Sciences People’s Liberation Army Tianjin300161 China National Demonstration Center for Experimental Mechanical and Electrical Engineering Education Tianjin University of Technology Tianjin300384 China

Liver rupture repair surgery serves as one tool to treat liver rupture, especially beneficial for cases of mild liver rupture hemorrhage. Liver rupture can catalyze critical conditions such as hemorrhage and shock. Surgical workflow recognition in liver rupture repair surgery videos presents a significant task aimed at reducing surgical mistakes and enhancing the quality of surgeries conducted by surgeons. A liver rupture repair simulation surgical dataset is proposed in this paper which consists of 45 videos collaboratively completed by nine surgeons. Furthermore, an end-to-end SA-RLNet, a self attention-based recurrent convolutional neural network, is introduced in this paper. The self-attention mechanism is used to automatically identify the importance of input features in various instances and associate the relationships between input features. The accuracy of the surgical phase classification of the SA-RLNet approach is 90.6%. The present study demonstrates that the SA-RLNet approach shows strong generalization capabilities on the dataset. SA-RLNet has proved to be advantageous in capturing subtle variations between surgical phases. The application of surgical workflow recognition has promising feasibility in liver rupture repair surgery. ©2024 the Author(s), licensee AIMS Press. This is an open access article distributed under the terms of the Creative Commons.

关键词： Image classification

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A Modular numerical control system Based on Embedded technology

A Modular Numerical Control System Based on Embedded Technol...

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International Conference on Computational Intelligence and Software engineering (CiSE)

作者： Zhengyi Li Xiaoqi Tang Xiangdong Zhou State Engineering Research Center of Numerical Control System School of Mechanical Science and Engineering Huazhong University of Science and Technology Wuhan China

This paper proposes a novel architecture of the numerical control (NC) system based on multiprocessor and real-time Ethernet. To comply with the trend of modular, open framework NC system, the hardware architecture is composed of ARM, DSP and FPGA modules, of which the ARM module is responsible for HMI (human-machine interface), the DSP module is in charge of core calculation, and the FPGA module plays the role of logical operation and constructs a real-time Ethernet for integrating servo drive modules, machine input/output units into the system. The proposed NC system has the advantages of smart reconfiguration, high performance but low cost. Finally, successful utilization of this system for a hoop bending machine control is briefly described.

关键词： Computer numerical control Real time systems Ethernet networks Digital signal processing Field programmable gate arrays Hardware Man machine systems Servomechanisms Costs Machine control

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基于指令域电控数据分析的数控机床工作过程CPS建模及应用

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engineering 2015年第2期 173-199页

作者：陈吉红杨建中周会成向华朱志红李叶松李振瀚许光达 National Numerical Control System Engineering Research Center Huazhong University of Science and Technology

建立机器的信息物理系统(CPS)模型是智能制造的关键技术。本文指出了数控机床工作过程中数控系统内部的海量电控数据是构建数控机床工作过程CPS模型的大数据的主要来源;提出了基于指令域电控数据分析方法,利用被加工零件的G指令对数控... 详细信息

建立机器的信息物理系统(CPS)模型是智能制造的关键技术。本文指出了数控机床工作过程中数控系统内部的海量电控数据是构建数控机床工作过程CPS模型的大数据的主要来源;提出了基于指令域电控数据分析方法,利用被加工零件的G指令对数控加工的工作任务进行定量描述,在指令域内建立数控机床的工作任务、制造资源和运行状态之间的实时、精准的映射关系,以此为基础进一步构建数控机床工作过程的CPS模型;利用这一模型,进行了数控加工工艺参数优化、数控机床健康保障等智能化应用的案例研究。

关键词：信息物理系统(CPS) 大数据数控机床工作过程电控数据指令域智能化应用

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Deviation propagation and reduction analysis for multi-operational machining processes

Deviation propagation and reduction analysis for multi-opera...

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IEEE 2011 10th International Conference on Electronic Measurement and Instruments, ICEMI 2011

作者： Liang, Ju Wang, Dongfeng Jiang, Ping Beijing Aerospace Control Center Beijing China Beijing Special Engineering Design and Research Institute Beijing China Department of System Engineering College of Information Systems and Management National University of Defense Technology Changsha Hunan China

ISBN: (纸本)9781424481590

Product dimensional quality has been one of the most important challenges for machining processes. However, current practice in multi-operational machining is a monitoring or inspection oriented measurement strategy which could not provide solutions for deviation reduction while deviation propagation and compensation are taken into account. While the deviation of some quality characteristic is not satisfactory and could not be controlled in the last operation, a partial least squares regression method is proposed to set up the relations between upstream operations and the last one. The regression result helps engineers to identify key processes with respect to their impacts on the last one, and to figure out possible solutions to reduce the deviation and thus makes the quality characteristic achieve the acceptable level. An industrial case is presented to illustrate our proposed methodology. © 2011 IEEE.

关键词： Machining

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A generalized acceleration and deceleration approach for continuous small line blocks with look-ahead

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Wuhan Ligong Daxue Xuebao/Journal of Wuhan University of technology 2006年第SUPPL. 1期28卷 1052-1058页

作者： Luo, Fuyuan Zhou, Yunfei Yin, Juan National Technical Research Center-Numerical Control System School of Mechanical Science and Engineering Huazhong University of Science and Technology Wuhan 430074 China School of Machinery and Automobile Engineering Hefei University of Technology Hefei 234009 China

Generally complex 3D contours are divided into a lot of continuous small line blocks by CAD/CAM software. When these small line blocks are used in conventional way, machine tool has to stop at the end of one move before continuing on to the next to meet accuracy requirement, which results in inefficiency. Look-ahead is an intelligent function that aims at adjusting the feed rate automatically to achieve maximum productivity while maintaining accuracy. By now most researchers just utilize the simplest linear acceleration (ACC) and deceleration (DEC) to deal with look-ahead intelligence. A generalized ACC/DEC approach and corresponding optimal look-ahead algorithm based on dynamic back tracking along a doubly linked list are proposed. An improved rounding strategy for reducing interpolation errors is also presented. By using the proposed techniques, arbitrary velocity profiles that offer look-ahead feature and have the desired ACC/DEC characteristics for movement of a lot of continuous line blocks can be generated efficiently. Both simulations and experiments shouted the productivity was dramatically increased without sacrifice of accuracy.

关键词： Acceleration and deceleration Back tracking Interpolation Look-ahead numerical control

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