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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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 authors studied the effects of different types of armor on the performance of spin-torque microwave detectors (STMD). Working prototypes of novel nano-sized spintronic sensors of microwave radiation for battlefield anti- radar and wireless communications applications are being integrated into Sensor Enhanced Armor (SEA) and Multifunctional Armor (MFA) and tested in SEA-NDE Lab at TARDEC. The preliminary theoretical estimations have shown that STMD based on the spin-torque effect in magnetic tunnel junctions (MTJ), when placed in the external electromagnetic field of a microwave frequency, can work as diode detectors with the maximum theoretical sensitivity of 1000 V/W. These STNO detectors could be scaled to sub-micron size, are frequency-selective and tunable, and are tolerant to ionizing radiation. We studied the performance of a STMD in two different dynamical regimes of detector operation: in well-known traditional in-plane regime of STMD operation and in recently discovered novel out-of-plane regime.

关键词：传感器；探测器；微波频率；自旋扭矩微波探测器

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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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This paper describes image enhancement software applications engineering development work that has been performed in support of Maui Space Surveillance System (MSSS) Modernization. It also includes R&D and transition activity that has been performed over the past few years with the objective of providing increased space situational awareness (SSA) capabilities. This includes Air Force Research Laboratory (AFRL) use of an FY10 Dedicated High Performance Investment (DHPI) cluster award -- and our selection and planned use for an FY12 DHPI award. We provide an introduction to image processing of electro optical (EO) telescope sensors data; and a high resolution image enhancement and near real time processing and summary status overview. We then describe recent image enhancement applications development and support for MSSS Modernization, results to date, and end with a discussion of desired future development work and conclusions. Significant improvements to image processing enhancement have been realized over the past several years, including a key application that has realized more than a 10,000-times speedup compared to the original R&D code -- and a greater than 72-times speedup over the past few years. The latest version of this code maintains software efficiency for post- mission processing while providing optimization for image processing of data from a new EO sensor at MSSS. Additional work has also been performed to develop low latency, near real time processing of data that is collected by the ground-based sensor during overhead passes of space objects.

关键词：计算机程序；图像处理；实时空间监测；探测器

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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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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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Presentation reviews: (1) Wireless Communications (a) Internal (b) External (2) RFID (Radio Frequency Identification) (a) Existing and R&D (3) Wireless Sensor Networks (a) Existing and R&D (4) Ultra-Wide Band (UWB) (a) R&amp.

关键词：无线通信；宽带；无线电频率；国际空间站

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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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