Mass transport has generally been recognized as a major limiting factor in the sensitivity and performance of miniaturized sensor platforms. To overcome this limitation, a new approach, termed molecular dam, has been developed to enhance mass transport for protein enrichment in nanofluidic channels by nanoscale electrodeless dielectrophoresis under physiological buffer conditions. The researchers demonstrated protein enrichment factor to be greater than 105-fold in 20 seconds, which is orders of magnitude faster than most reported methods. They also studied the detailed mechanism as how the electrokinetic forces get balanced to achieve the molecular damming effect and the scaling relation of force and nanoconstriction size. Both the capillary- and electrokinetically-driven nanoslit sensor platforms have also been developed in parallel to enhance the reaction kinetics of protein sensing by reducing the diffusion length of reactants.

关键词：传感器；流体；纳米技术；生物标志物；纳米流体力学

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Summary: Proof-of-concept of Artificial Hair Sensor with CNT mechano- resistive elements demonstrated. CNT arrays examined that initially appear mechanically different by length, but DIC reveal a common failure criteria. Observed carbon hair deflection in-phase with gust-like disturbances without vibration - mapped the flow regime steady/unsteady. Computed frequency response plots for carbon hair structure in quasi-steady regime 2nd order like response. Found that elasticity and drag dominated the force balance in the carbon hair structure. Established criteria based on dimensionless groups to control hair dynamic response through selection of material and geometric properties.

关键词：传感器；探测器；发动机空气系统组件；动力学

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Enhanced maritime situational awareness is a common need for maritime authorities interested in security, safety, border control, and marine environment protection. To have enhanced maritime situation awareness, it is recognized that there is a need for advanced and innovative surveillance and information-sharing technologies. This study presents an open and interoperable maritime surveillance framework that utilizes ontology-based operations and domain rules to integrate data from a combination of systems and sensors, and performs behavior analysis of detected targets of any size. In this system, seamless information exchange among systems and sensors leads to better and more cost-effective maritime surveillance. Behavioral analysis enables intelligent decision making and reduces time-to-act. Within the scope of this study, a Maritime Situational Awareness Ontology is created as a common model to mediate different information sources, and a rule repository is formed for storing suspicious vessel criteria. The presented work is undertaken within the scope of the RECONSURVE (Reconfigurable Surveillance System with Communicating Smart Sensors) project, which is supported by the EUREKA ITEA2 cluster.

关键词：传感器；决策支持系统；指挥控制系统；数据融合

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National defense security systems constantly face cyber attack, espionage, and hacking. The primary objective of this paper is to explore the application of a modified discrimination model to replace current encrypted user id and password authentication. This discrimination model will be based on minimum distance as compared to the traditional discrimination model which is based on maximum probability. The modified discrimination model treats user id and password as a multisensor information fusion technology problem. The model converts the input user id and password into a digital pattern feature vector. The model then processes the newly converted vector for distance between all known feature vectors stored in the secure knowledge database. The new pattern feature vector with the minimum distance generated by the modified discrimination model will be the authorized person. The new application is demonstrated using mathematical simulation, and is then verified by comparing its performance with the traditional multisensor correlation model.

关键词：传感器；计算机访问控制；计算机程序；数据融合

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Our long-term goal is to use remote sensing observations to constrain a data assimilation model of wave and circulation dynamics in an area characterized by a river mouth or tidal inlet and surrounding beaches. As a result of this activity, we will improve environmental parameter estimation via remote sensing fusion, determine the success of using remote sensing data to drive DA models, and produce a dynamically consistent representation of the wave, circulation, and bathymetry fields in complex environments.

关键词：传感器融合；远程检测；多维传感；深度测量法

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This project was dedicated to solving basic scientific issues and developing the scientific basis that underlies the improvement of super-dense memories, towards the terabit per square inch goal and the engineering of chemical and biological sensors. Both applications rely on porous materials among which porous alumina is the most promising. The research under this project in each of the objectives has lead to major advances. We have improved considerably the size distribution of the porous alumina used for masks using a double anodization process. We have also developed an unconventional bootstrapping method, which uses self-supporting porous membranes. This allowed fabrication and research on the properties of very well ordered array of small magnetic nanodots on different substrates, which could not be done otherwise. It also permitted us to develop new concepts of storage and explore the interaction between magnetic dots. Due to this technology we had also several major advances in the field of DNA sequencing and in the development of biosensors. This project leverages funding from AFOSR through extensive collaboration with colleagues at UC San Diego, UC Davis and Los Alamos National Labs and no cost, contribution of researchers that are spending extended periods of times at UCSD.

关键词：传感器；内存；探测器；纳米磁性；磁场

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关键词：惠普新财季；全球PC；行业前瞻；PC巨头

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A campus grid, a computational grid confined to a campus, requires temperature monitoring by huge number of sensors if it is to run without air-conditioning. To reduce the number of temperature sensors for the monitoring, a sensor location optimization method based on analysis of thermal behavior is proposed. The method eliminates sensors based on correlation between source heat and inlet temperature of PCs, The method enables to eliminate the sensors that are not sensitive to heat source, and results in sensor location optimization. Initial experiments in an actual campus grid show that such sensitivity does exist and clarify advantages of the method against simple optimization method based on just temperature.

关键词：传感器；位置优化；历史分析；相关分析

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Due to the United States' dependency on maritime travel, the proliferation of efficient and inexpensive naval mines poses a tremendous risk. Current mine countermeasure (MCM) technologies have a narrow field of view, preventing timely, wide-area searches. These technologies require the operator to be in proximity to the targets, a dangerous scenario made worse when in denied territory. In an effort to mitigate these risks, the use of an airborne hyperspectral sensor is proposed. The operational ability of a hyperspectral sensor to detect sub-pixel surface and submerged mines in non-littoral environments was evaluated using two common anomaly detectors: Mixture Tuned Matched Filtering (MTMF) and Reed-Xiaoli (RX). Due to the unavailability of the DoD's Spectral Infrared Imaging Technology Testbed (SPIRITT), ProSpecTIR-VS3, a sensor similar spatially and spectrally to SPIRITT was flown over a Navy test range offshore California. This experiment included three surface and three submerged targets, each with a 0.8 meter diameter. The spatial resolution of the images is dependent on the altitude of the sensor. In an effort to collect both a high spatial resolution and a low spatial resolution data set, two flight altitudes were planned. The high spatial resolution collection altitude was approximately 410 meters and the low spatial resolution altitude was approximately 800 meters. The spatial resolutions of the collections were 0.5 and 1.0 meters, respectively. This allowed for both a resolved and an unresolved analysis. While both anomaly detection techniques were found to have their flaws, the success of the study is in proving the usefulness of hyperspectral data for sub-pixel mine detection.

关键词：传感器；远程探测器；光谱异常检测；匹配过滤器

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trapping K_4[Fe(CN)_6] solution to detect the existence and quantitative concentration of proteins, where, as the minimum value, 4 molecules of protein are calculated to be detected per one molecule of DPPC liposome. Also, investigated several basic properties in the leakage current sensor. Especially, the addition of guanidinium hydrochloride (GuHCl) as protein denaturant successfully resulted in a prominent improvement in sensitivity.

关键词：生物传感器；化学和生物传感器；脂质体；电解液

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