Use of radar as a remote sensing technique for measurement of ocean surface waves presents many advantages over conventional point sensors, such as wave buoys or wave gauges. One such advantage is the ability to obtain phase- resolved wave field measurements over vast areas and at locations far from the sensor. As the use of radar for wave measurements becomes more widespread, it is important to understand the dependence and sensitivity of the extracted wave parameters on the characteristics of the radar and the scatterers. To examine such issues, experiments were performed offshore of the Scripps Institution of Oceanography (SIO) pier in July 2010. Radar measurements of the wave field were performed with dual-polarized high resolution X-band pulse-Doppler radar at low grazing angles along with two independent measurements of the surface waves using conventional sensors. These data were taken in low sea states so that effects associated with breaking waves were minimized.

关键词：雷达；探测器；多普勒天气雷达；X波段；无线通信

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The Integrated Multi-Modal RF Sensing (IMMRF) effort performed basic research to examine key parameters of integrated multi-modal RF sensor design and algorithm development. A statistical framework for the program was developed, which ensured the overall statistical validity of the approaches. Dynamic waveform design for agile RF sensing, enhanced detection capabilities, and optimized tracking performance was investigated. Approaches were developed for using multiple, spatially distributed, adaptive multi-modal sensors for multiple target tracking and data association. Finally, a radar test bed was developed to support testing and refinement of theories and algorithms.

关键词：传感器；探测器；雷达；波形；自适应系统；射频

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No abstract available.

关键词：传感器融合；探测器；低费用；导航；机器人

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No abstract available.

关键词：传感器网络；多功能材料；碳纳米管；探测器；太阳能电池

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The University of Memphis conducted basic research into techniques for advancing network-centric sensors for eventual deployment in Department of Defense (DoD) applications. This basic research included the following focus sub-areas: (i) feature fusion/feature-based sensor system design techniques; (ii) sensor ontologies for problemsolving architectures; (iii) profiling sensor improvement through the use of innovative classification algorithms and data visualization techniques; (iv) alternative sensing modalities; (v) turbulence mitigation techniques; and (vi) development of a feature sensing laboratory. Under the topic of feature fusion/feature-based sensor system design, techniques known as Lasso, Group Lasso, and Sparse Multiple Kernel Learning were applied to break beam profiling sensor design. The results indicate that the Group Lasso technique is effective for feature quality maximizing sensor design because of its ability to provide both intergroup and intra-group feature sparsity. Under the topic of sensor ontologies for problem-solving architectures, a framework that matches sensors to compatible algorithms to fonn synthesized systems was developed and applied to improved forms of the beam-break profiling sensor. This work resulted in several publications. Under the topic of profiling sensor improvement, various algorithms for improving the classification performance of a pyro-electric based profiling sensor were investigated and tested using data from field collections. Results indicated that Logistic regression with a simple height to width ratio provide good performance.

关键词：传感器；探测器；网络中心；热电性；回归分析

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The purpose of this project is to develop in vitro, cell based biosensors for environmental toxins. By using ArunA s neural cell lines derived from both human embryonic stem cells (hESCs) and human induced pluripotent stem cells (hiPSCs), our goal is to provide a human neural cell based biosensor that is a more biologically relevant model of human physiology. This report describes the progress made in these major areas: (1) directed differentiation of hESC- and hiPSC-derived neural progenitor cells into dopaminergic neurons; (2) directed differentiation of hESC- and hiPSC-derived neural progenitor cells into astrocytes; (3) cell culture medium development for the maintenance and differentiation of ArunA s neural cell lines as sensor elements for neurotoxicity; and (4) label-free, adhesive signature-based microfluidic cell separation.

关键词：生物传感器；神经细胞；人类胚胎干细胞；毒素和抗毒素

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The demonstration described in this report was conducted at the Former Camp Beale, California, under project ESTCP MR-201004 'Practical Strategies for UXO Discrimination.' It was performed under the umbrella of the ESTCP Live-Site Classification Study Program. The objective of the MR-201004 project is to demonstrate the application of feature extraction and statistical classification to the problem of UXO discrimination. At the Camp Beale site, the objective was to discriminate targets of interest (TOI) (including 37 mm, 60 mm, 81 mm targets, 105 mm and a small industry standard object (ISO)) from nonhazardous shrapnel, range and cultural debris. A number of fuses and fuse parts that were initially considered as a possible TOI was later found to be non-TOI, and labeled as clutter. In this report, we describe the performance of classification techniques that utilized full coverage, dynamically acquired, survey data acquired with a Geonics EM61 cart and static, cued interrogation style data acquired with advanced electromagnetic induction (EMI) sensors. Analysts from Sky Research and UBC-GIF processed (1) MetalMapper data acquired in a portion of the site amenable to vehicular towed systems (i.e. the 'Open Area'), and (2) man portable sensor data collected by the TEMTADS 2x2, BUD, and MPV in a treed section of the site (i.e. the 'Portable Area'). A small overlap of the Open and Portable Area allowed for a direct comparison of the MetalMapper and portable EMI sensors.

关键词：电磁感应；电磁检测；金属探测器；特征提取；兵器定位器

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Composites are rapidly replacing metals in structural applications due to their ability to outperform metals at significant weight savings. This has resulted in the need for monitoring techniques to prevent catastrophic failures. Crosslink is developing a real-time, light-weight strain/damage sensor system that can be either embedded in or superficially bonded at strategic locations to monitor structural integrity. These sensors utilize inherently conducting polymer (ICP) films. ICP-based sensors do not deteriorate with fatigue and have been shown to possess higher strain sensing capabilities. These are capable of sensing physical stretching and acoustic waves, as well as fluctuations in humidity and temperature. Crosslink is developing modules for wireless transmission of the data to identify the location and extent of damage, along with the prediction capability of the structure's remaining service life.

关键词：应变传感器；声发射传感器；导电聚合物；无线通信

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The association of nanocoatings with optical fiber enables advantages of optical fiber (small size, high sensitivity, large bandwidth, immunity to electromagnetic interference, light weight, and ease of implementation of multiplexed and distributed sensors) to be combined with the interesting properties of novel structures ordered at the nanoscale level. In this chapter, we have reviewed some of the most recent applications in optical fiber sensors based on nanostructured coatings covering a wide range of interrogation schemes and fabrication techniques. Thus, in order to achieve an optimal sensor response, a precise selection of the specific coating materials, the appropriate fabrication technique, and the adequate fiberoptic interrogation scheme is required.

关键词：传感器；光纤；纳米技术；纳米涂层

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Cooperative localization is a useful way for nodes within a network to share location information in order to better arrive at a position estimate. This is handy in GPS contested environments (indoors and urban settings). Most systems exploring cooperative localization rely on special hardware, or extra devices to store the database or do the computations. Research also deals with specific localization techniques such as using Wi-Fi, ultra-wideband signals, or accelerometers independently opposed to fusing multiple sources together. This research brings cooperative localization to the smartphone platform, to take advantage of the multiple sensors that are available. The system is run on Android powered devices, including the wireless hotspot. In order to determine the merit of each sensor, analysis was completed to determine successes and failures. The accelerometer, compass, and received signal strength capability were examined to determine their usefulness in cooperative localization. Experiments at meter intervals show the system detected changes in location at each interval with an average standard deviation of 0.44m. The closest location estimates occurred at 3m, 4m and 6m with average errors of 0.15m, 0.11m, and 0.07m respectively. This indicates that very precise estimates can be achieved with an Android hotspot and mobile nodes.

关键词：多传感器；融合；全球定位系统；数据基地

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