When the parameters were measured by using fiber Bragg grating (FBG) in practice,there were some parameters hard to measure,which would influenced the reflective spectral of FBG severely,and make the characteristic information harder to be extracted.Therefore,particle swarm optimization algorithm was proposed in analyzing the uniform force reflective spectral of FBG.Based on the uniform force sense theory of FBG and particle swarm optimization algorithm,the objective function were established,meanwhile the experiment and simulation were constructed.And the characteristic information in reflective spectrum of FBG was extracted.By using particle swarm optimization algorithm,experimental data showed that particle swarm optimization algorithm used in extracting the characteristic information not only was efficaciously and easily,but also had some advantages,such as high accuracy,stability and fast convergence rate.And it was useful in high precision measurement of FBG sensor.

关键词：光纤布拉格光栅;粒子群优化(PSO);特征信息;横向均匀

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In this paper,research on a high speed arc image sampling and processing system based on DSP has been done.A RS-422A interface has been used to sample high speed image,A TMS320C40 high speed DSP and high frame rate CCD are used as the sensor.The optical image can be converted into digital image in this image sampling and processing system efficiently,with the high speed DSP and the high speed memories,to improve the data transfer speed and receive the image data correctly,DMA data communication technology is adopted.The test result shows that this system is very effective for arc research.

关键词：电荷耦合装置;电弧;图像处理;高速DSP

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This lighting system is a versatile remote control for stadiums smart lighting application.This paper describes the design of a high-brightness LED system,which demonstrates wireless communication using Freescale's MC13213 device,high-brightness LED dimming control using Freescale's MM908E625 and the 3-axis acceleration sensor MMA7260QT from Freescale.Advantages of using LED lighting are a long operating life,no fragile glass,no mercury,and low-voltage DC operation.In the system,each wireless part communicates over the RF medium using the freely available software stack SMAC from Freescale.At last,the paper analysis the dimming and itensity of the smart lighting system.

关键词：智能照明;射频;变暗;强度

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This research used systems architecture to develop a model that determined the effect of Integrated System Health Management (ISHM) on mission success rates for unmanned aerial systems (UAS). To evaluate this effect, a simulation model was developed and used to analyze the difference between mission success rates for a theoretical UAS with and without ISHM. Design of Experiments analysis techniques were used to map a response surface that modeled the difference between mission success rates calculated for current health management technology and ISHM. Using representative data for a UAS, the analysis determined that the failure distribution parameters, sensor quality (which determines the relationship between probability of detection and probability of false alarm), and probability of an imminent fault during a mission were significant to the model. The result of the model determined that ISHM can result in a significant improvement on mission assurance, especially when implemented with higher quality sensors and on vehicles where the probability of imminent failure is higher relative to the mission times and time between preventative maintenance. This appears consistent with the premise that ISHM can support an extension of preventative maintenance intervals with an attendant reduction in sustainment cost.

关键词：试验设计;健康;维护;管理;自我操作;仿真

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This paper suggests the system architecture of a differential-pressure leak detector and the design of its software functional modules.It also elaborates on the key technologies for system implementation,such as key input engine design,calculation of differential pressure sensor values and measurement result judgment criteria.

关键词：软件系统；检漏仪；压差；泄漏

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The demand for large-scale systems running in complex and even chaotic environments requires the consideration of new paradigms and technologies that provide flexibility, robustness, agility and responsiveness. Multi-agents systems is pointed out as a suitable approach to address this challenge by offering an alternative way to design control systems, based on the decentralization of control functions over distributed autonomous and cooperative entities. However, in spite of their enormous potential, they usually lack some aspects related to interoperability, optimization in decentralized structures and truly self-adaptation. This paper discusses a new perspective to engineer adaptive complex systems considering a 3-layer framework integrating several complementary paradigms and technologies. In a first step, it suggests the integration of multi-agent systems with service-oriented architectures to overcome the limitations of interoperability and smooth migration, followed by the use of technology enablers, such as cloud computing and wireless sensor networks, to provide a ubiquitous and reconfigurable environment. Finally, the resulted service-oriented multi-agent system should be enhanced with biologically inspired techniques, namely self-organization, to reach a truly robust, agile and adaptive system.

关键词：多代理系统;面向服务系统;自组织;网络物理系统

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Widespread technological development and deployment have created an abundance of data sources for traffic monitoring. A database that integrates data from all these technologies would maximize coverage of the network, given the available data. Sometimes, however, there are multiple independent measurements of the current traffic conditions for a particular portion of the network. In these cases, a variety of data fusion techniques can be used to achieve better estimates while helping to overcome information overload. This paper discusses several techniques for fusing data from competitive sensor configurations, describes the analytical foundation of these techniques, and interprets how each technique might be used most appropriately. In addition, these data fusion techniques are implemented and compared relative to their ability to accurately and reliably estimate traffic speeds. A real-world case study in Toronto, Ontario, Canada, demonstrates that estimates from data fusion techniques that pull loop detector data and probe vehicle data from an integrated database are more accurate and reliable than estimates based on individual data sources. Consequently, these data fusion-based estimates can be taken with greater certainty and confidence.

关键词：交通运输；系统管理；数据集成；传感器网络

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In this thesis we address the problem of the temporal scalability of pose graphs models for long-term simultaneous localization and mapping (SLAM). We present a SLAM system using two different sensor modalities: imaging sonars for underwater navigation and vision based SLAM for terrestrial applications. In the underwater domain we consider two different applications. First, we describe our implementation of real-time imaging sonar aided navigation applied to in-situ autonomous ship hull inspection using the hovering autonomous underwater vehicle (HAUV). Second, we develop a feature-based navigation system supporting multi-session mapping, and provide an algorithm for re-localizing the vehicle between missions. We use a pose graph representation for the mapping. One of the problems with the pose graph formulation is that the state space continuously grows as more information is acquired. To address this we propose the reduced pose graph (RPG) model which partitions the space to be mapped and uses the partitions to reduce the number of poses used for estimation. To evaluate our approach, we present results using an online binocular visual SLAM system. We demonstrate long-term mapping using approximately nine hours of data collected in the MIT Stata Center, demonstrating mapping of a large environment an extended period of time.

关键词：自主导航;远程(时间);摄像头,映射

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Integrated System Health Management (ISHM) for Unmanned Aerial Systems (UAS) has been a new area of research - seeking to provide situational awareness to mission and maintenance operations, and for improved decision- making with increased self-autonomy. This research effort developed an analytic architecture and an associated discrete-event simulation using Arena to investigate the potential benefits of ISHM implementation onboard an UAS. The objective of this research is two-fold: firstly, to achieve continued airworthiness by investigating the potential extension of UAS expected lifetime through ISHM implementation, and secondly, to reduce life cycle costs by implementing a Condition-Based Maintenance (CBM) policy with better failure predictions made possible with ISHM. Through a series of design experiments, it was shown that ISHM presented the most cost-effective improvement over baseline systems in situations where the reliability of the UAS is poor (relative to manned systems) and the baseline sensor exhibited poor qualities in terms of missed detection and false alarm rates. From the simulation results of the test scenarios, it was observed that failure occurrence rates, sensor quality characteristics and ISHM performance specifications were significant factors in determining the output responses of the model. The desired outcome of this research seeks to provide potential designers with top-level performance specifications of an ISHM system based on specified airworthiness and maintenance requirements for the envisaged ISHM-enabled UAS.

关键词：适航;卫生保健管理;空气;成本效率;决策

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The broad goal of this project is to develop new computational processes for leveraging visual cues for image-based scene understanding, and we seek to achieve this goal through a careful analysis of reflectance, light transport, and imaging. During the past year, we have continued our exploration of micro computer vision systems, meaning those that can accomplish useful visual tasks within the power and size constraints of micro-scale platforms like micro air vehicles and micro sensor nodes. We have also developed a passive method for simultaneous depth and color imaging that exploits a new statistical model of joint spatial and spectral structure in natural images.

关键词：计算机视觉;微传感;可视化

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