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Suborbital flight test of a prototype terrain-relative navigation system

Suborbital flight test of a prototype terrain-relative navig...

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2007 AIAA InfoTech at Aerospace Conference

作者： Seybold, Calina Chen, George Bellutta, Paolo Johnson, Andrew Matthies, Larry Thurman, Sam Jet Propulsion Laboratory California Institute of Technology Pasadena CA 91109 United States System Engineering Section M/S 233-201 4800 Oak Grove Drive United States AIAA United States EDL Systems and Advanced Technologies Group System Engineering Section M/S 301-490 Mobility and Robotic Systems Section M/S 198-235 United States Computer Vision Group Mobility and Robotics Systems Section M/S 198-235 United States Autonomous Systems Division M/S 198-105

ISBN: (纸本)1563478935

In April 2006, a terrain-relative navigation experiment successfully flew on a sounding rocket mission at White Sands Missile Range. The mission was designated by NASA/Wallops Flight Facility as 41.068 NT/Seybold ("41.068") and was flown as part of the New Millennium Program ST9 Terrain-Relative Guidance system (TRGS) Project's competitive Phase A effort. The TRN experiment had two objectives: 1) To demonstrate the viability of a navigation filter for precision landing that uses on-board IMU and descent image data to achieve position knowledge errors of less than 100m, validated with GPS data recorded during flight;and 2) To establish that commercial off-the-shelf cameras can be packaged sufficiently well to survive the sounding rocket launch environment. Both objectives were met. The 13 min flight provided a data set that was processed post-flight through the prototype algorithms to bring the ST9 TRGS Project to a technology readiness level of 4 in TRN. This paper describes the flight system development and operations of the TRN experiment on 41.068.

关键词： Flight control systems

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Grid Security Interoperation between CGSP and VEGA

Grid Security Interoperation between CGSP and VEGA

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International Conference on Future Generation Communication and Networking (FGCN)

作者： Deqing Zou Hai Jin Xueguang Chen Zongfen Han Cluster and Grid Computing Laboratory Services Computing Technology and System Laboratory School of Computer Science and Technology Huazhong University of Science and Technology Wuhan China Department of Control Science and Engineering Huazhong University of Science and Technology Wuhan China

ISBN: (纸本)9780769530482;0769530486

Grid computing emerges as an effective technology to couple geographically distributed resources and solve large-scale computational problems in wide area networks. There are several popular grid platforms, such as UNICORE and Globus Toolkit. Many famous grid projects are constructed with these platforms, each of which manages different distributed resources. In order to aggregate resources managed by different grid platforms, it is necessary to implement the interoperation among these grid platforms. Security interoperation is one of key issues for the interoperation. CGSP (ChinaGrid Support Platform) and VEGA are two popular grid platforms in China. To achieve security interoperation between these two platforms, four mapping policies, including user-user mapping, user-agora mapping, role-user mapping, role-agora mapping, are proposed in this paper. The security interoperation process is proposed based on SAML specification and the mapping policies. We also analyze the flexibility of mapping policies and the security of the interoperation process.

关键词： Security Resource management Grid computing Authentication Large-scale systems computer networks Distributed computing Wide area networks Web services Middleware

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Automated robotic deposition system for manufacturing nano devices

Automated robotic deposition system for manufacturing nano d...

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2007 IEEE/RSJ International Conference on Intelligent Robots and systems

作者： King Wai Chiu Lai Ning Xi Uchechukwu C. Wejinya Yantao Shen Wen J. Li Robotics and Automation Laboratory Electrical and Computer Engineering Michigan State University East Lansing MI USA Centre of Micro and Nano System Chinese University of Hong Kong Hong Kong China

This paper presents a novel automated manufacturing process for mass production of nano devices from advanced material such as carbon nanotubes (CNTs). CNTs have been found to be a promising and advanced material for nanoelectronics due to their size and excellent mechanical and electrical properties. Conventional electronic devices replaced by CNT are possibly to be miniaturized, and CNT based nano devices can provide better performance. Therefore, researchers have focused on developing different methods to manufacture CNT based nano devices in recent years. Since the size of CNTs is in nano scale, traditional robotic manipulation cannot be applied. Electrical assembly of CNT based devices is one of the promising methods to manipulate CNT to desired position. Building nano device by a single CNT is challenging, therefore, most people have concentrated on manipulating bundled CNTs. However, the electrical properties of bundled CNTs are difficult to control. As a result, device cannot benefit from quantum properties of a single CNT. Therefore, an automated process for manufacturing single CNT based nano devices is necessary for this application. A CNT deposition system is developed to manipulate a single CNT across microelectrodes precisely and repeatedly by using dielectrophoresis (DEP). Moreover, certain types of CNTs can be selected by using a micro chamber to filter other unnecessary types of CNTs. The system can potentially be used to fabricate an array of CNT based devices, and a fast and feasible batch nano assembly of consistent nano devices can be achieved.

关键词： Robotics and automation Manufacturing automation Manufacturing processes Mass production Organic materials Carbon nanotubes Nanoelectronics Mechanical factors Robots Robotic assembly

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Self-adaptive PID-controlled particle swarm optimization

Self-adaptive PID-controlled particle swarm optimization

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26th Chinese Control Conference, CCC 2007

作者： Cai, Xingjuan Cui, Zhihua Zeng, Jianchao Tan, Ying Division of System Simulation and Computer Application Taiyuan University of Science and Technology Taiyuan 030024 China State Key Laboratory for Manufacturing Systems Engineering Xi'an Jiaotong University Xi'an 710049 China

ISBN: (纸本)7900719229

As a new version of particle swarm optimization (PSO), PID-controlled PSO introduces the concept of controller into the algorithm structure. However, with the introduction of PID controller, three additional parameters are incorporated into the algorithm. Thus, how to provide a proper selection of these parameters is an important problem to affect the algorithm efficiency. In this paper, the relationships among these parameters are conducted by the stability theory. Further, a self-adaptive parameter selection strategy is proposed. Simulation results show the proposed strategy is effective.

关键词： Self adjusting control systems

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Bio-Inspired Integrated Chips for Telecommunications S/W Defect-Tracking

Bio-Inspired Integrated Chips for Telecommunications S/W Def...

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IEEE International Symposium on Signal Processing and Information Technology (ISSPIT)

作者： Hoda S Abdel-Aty-Zohdy Mostafa Hashem Sherif Adam Smiarowski Brian Searing WPAFB/RITA Air Force Research Laboratory OH USA Microelectronics System Design Lab Electrical and Computer Engineering Department Oakland University Rochester MI USA Middletown NJ USA

Defect tracking is important in evaluating the reliability of the software used in telecommunication networks. Bio-inspired integrated approaches and embedded chips have been developed and implemented to track improvements in the software reliability. In this paper, the integrated model for the failure discovery during testing is combined with bio-inspired approaches using the recurrent dynamic neural network (RDNN) with parametric adjustments and wavelets as basis; and the adaptive parameters RDNN (ARDNN) where the criterion is to minimize the error in failure intensity estimation, subject to the model constraints. Simulation results favor our adaptive recurrent dynamic neural network, with reduced error from 88% to 1.25 –to- 8% based on the number of iterations in the training phase.. The ARDNN approach provides optimum solution to the dynamic problem at hand since it iterates on the shape of the wavelet basis and provide adequate recovery of the data in the form of piecewise linear differential.

关键词： Software testing Neural networks Telecommunication network reliability Recurrent neural networks Genetic algorithms Parameter estimation Biomedical signal processing Information technology Microelectronics computer networks

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Predictive,-velocity modified particle Swarm optimization

Predictive,-velocity modified particle Swarm optimization

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26th Chinese Control Conference, CCC 2007

作者： Zhihua, Cui Xingjuan, Cai Jianchao, Zeng Guoji, Sun Division of System Simulation and Computer Application Taiyuan University of Science and Technology Taiyuan 0300240 China State Key Laboratory for Manufacturing Systems Engineering Xi'an Jiaotong University Xi'an 710049 China

ISBN: (纸本)7900719229

Velocity update equation of standard particle swarm optimization uses only the size information of previous velocity vector whereas ignoring the corresponding direction information. By adding predictive velocity, a new predictive-velocity modified particle swarm optimization (PVPSO) which using the size and direction information of velocity vectors to estimate and correct particle's next generation positions is proposed. Theoretical analysis proofs the new algorithm owns an enhanced global search capability. The optimization computing of some examples is made to show that the PVPSO has better global search capacity and rapid convergence speed.

关键词： Optimization

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Performance of the optical spectrum CDMA systems in FTTH access network

Performance of the optical spectrum CDMA systems in FTTH acc...

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IEEE International Conference on Telecommunications and Malaysia Communications (ICT-MICC)

作者： M. Othman N.S.M. Shah N.A. Cholan R. Talib M.D.A. Samad S.A. Aljunid M.K. Abdullah Department of Communication Engineering Faculty of Electrical and Electronic Engineering Universiti Tun Hussein Onn Malaysia Batu Pahat Johor Malaysia Photonics Laboratory Department of Computer and Communication System Faculty of Engineering Universiti Putra Malaysia Serdang Selangor Darul Ehsan Malaysia School of Computer & Communication Engineering Universiti Malaysia Pedis Kangar Perlis Malaysia

Double Weight (DW) code is presented here to support fiber-to-the-home (FTTH) access network in point-to-multipoint (P2MP) applications. This code with basic fixed weight of 2 possess ideal cross correlation properties, that are important characteristics in spectral encoding OCDMA system since these can eliminate multiple user interference and can reduce noise. The performance of DW code against Hadamard code is compared through simulation by using Optisystem version 2.2. The performances were characterized through bit error rate (BER) against number of user for two network designs. One is without erbium doped fiber amplifier (EDFA) and another one is with the EDFA for P2MP network. It is found that DW code is better than Hadamard code for all simulation results at bit rates of 622 Mbps, 1.25 Gbps and 2.5 Gbps.

关键词： Optical fiber networks Multiaccess communication Optical fiber subscriber loops Error correction Error correction codes Bit error rate Erbium-doped fiber amplifier Encoding Interference elimination Noise reduction

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Spectral amplitude coding OCDMA using AND subtraction technique

Spectral amplitude coding OCDMA using AND subtraction techni...

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IEEE International Conference on Telecommunications and Malaysia Communications (ICT-MICC)

作者： S.A. Aljunid M. Othman N.S.M. Shah M.D.A. Samad R.K.Z. Sahabudin M.K. Abdullah School of Computer & Communication Engineering Universiti Malaysia Pedis Kangar Perlis Malaysia Department of Communication Engineering Faculty of Electrical and Electronic Engineering Universiti Tun Hussein Onn Malaysia Batu Pahat Johor Malaysia Photonics Laboratory Department of Computer and Communication System Faculty of Engineering Universiti Putra Malaysia Serdang Selangor Darul Ehsan Malaysia

A new detection scheme, namely AND subtraction technique is proposed and presented in this paper. The theory is being elaborated and the calculated and simulation results have been done by comparing AND subtraction technique against complementary subtraction technique by using DW code. In this paper we have proved that AND subtraction technique gives better bit error rate (BER) performance than complementary subtraction technique.

关键词： Subtraction techniques Multiple access interference Phase detection Optical computing Bit error rate Optical receivers Optical transmitters Multiaccess communication Telecommunication computing Photonics

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ASIC: Supervised Multi-class Classification using Adaptive Selection of Information Components

ASIC: Supervised Multi-class Classification using Adaptive S...

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International Conference on Semantic Computing

作者： Zongxing Xie Thiago Quirino Mei-Ling Shyu Shu-Ching Chen Department of Electrical and Computer Engineering University of Miami Coral Gables FL USA Distributed Multimedia Information System Laboratory School of Computing and Information Sciences Florida International University Miami FL USA

In this paper, a supervised multi-class classification approach called Adaptive Selection of Information Components (ASIC) is presented. ASIC has the facilities to (i) handle both numerical and nominal features in a data set, (ii) pre-process the training data set to accentuate the spatial differences among the classes in the training data set to reduce further computational load requirements, and (iii) conduct supervised classification with the C-RSPM (Collateral Representative Subspace Projection Modeling) approach. Experimental results on a variety of data sets have shown that the proposed ASIC approach outperforms other well-known supervised classification methods such as C4.5, KNN, SVM, MLP, BN, RF, Logistic, and C-RSPM, with higher classification accuracy, lower training and classification times, and reduced memory storage and processing power requirements.

关键词： Application specific integrated circuits Principal component analysis Support vector machines Support vector machine classification Distributed computing Training data Radio frequency Logistics Data mining Image retrieval

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AUTOMATED 3-D QUANTIFICATION OF BRAIN TISSUE AT THE CELLULAR SCALE FROM MULTI-PARAMETER CONFOCAL MICROSCOPY IMAGES

AUTOMATED 3-D QUANTIFICATION OF BRAIN TISSUE AT THE CELLULAR...

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IEEE International Symposium on Biomedical Imaging

作者： Gang Lin Yousef Al Kofahi James A. Tyrrell Christopher Bjornsson William Shain Badrinath Roysam Department of Electrical Computer and Systems Engineering Rensselaer Polytechnic Institute Troy NY USA Laboratory of Nervous System Disorders New York State Department of Health Wadsworth Center Albany NY USA

ISBN: (纸本)9781424406715;1424406714

Brain tissue is the most complex tissue in the mammalian anatomy. It is structurally complex, containing diverse cell types and vasculature with complex spatial relationships. It is also complex in terms of molecular constituents, and their relationship to the structural constituents. There is a need for technologies to map normal and injured brain tissue and compute appropriate quantitative measurements in support of a large number of investigations. We present a systematic methodology named FARSIGHT (fluorescence association rules for image-based insight), combining multi-parameter immuno-histochemical labeling, three-dimensional confocal microscopy, linear unmixing, segmentation, and associative morphometry to map and quantify diverse aspects of brain tissue. In addition to morphometric measurements of individual structures from individual imaging channels, we propose the use of distance maps, distance-weighted integrals, and distributions as an efficient basis for computing a versatile set of such associative measurements. These features enable classification of all the major cell types, and computation of their inter-relationships.

关键词： Brain Microscopy Anatomy Appropriate technology Fluorescence Association rules Diversity reception Labeling Image segmentation Distributed computing

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