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检索条件"任意字段=Conference on Unmanned/Unattended Sensors and Sensor Networks XII"

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Imaging and phase measurements of 3D objects at 10.6 microns by digital holography - art. no. 673612

引用

conference on unmanned/unattended sensors and sensor networks IV

作者： Ferraro, Pietro Grilli, Simonetta Miccio, Lisa Buahbassuah, Paul Meucci, Riccardo De Nicola, Sergio Arecchi, F. Tito CNR Ist Nazl Ottica Appl I-80078 Pozzuoli NA Italy

ISBN: (纸本)9780819468949

Digital holography in the mid infrared range is shown to be a feasible technique for optical metrological applications. The technique allows to reconstruct both amplitude and phase of wavefronts scattered by a 3D object. Experimental results of the method applied to the reconstruction of digitally holograms recorded at CO2 laser wavelength of 10.6 micron are reported. It is show that good reconstructions can be obtained even with the lower spatial resolution of IR recording detectors compared to visible CCD array. The results show that new prospective can be exploited by using high power CO2 laser sources in optical metrological applications.

关键词： Digital holography Holograms 3D image reconstruction Gas lasers Carbon monoxide sensors Phase measurement 3D image processing Digital recording Infrared sensors

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Area protection network (APN) - A concept for autonomous perimeter surveillance and protection with demonstrator - art. no. 67360N

引用

conference on unmanned/unattended sensors and sensor networks IV

作者： Lindquist, Per Saab Bofors Dynam AB Dev & Technol Sensors SE-40251 Gothenburg Sweden

ISBN: (纸本)9780819468949

Area Protection Network (APN) is a concept for autonomous surveillance and perimeter protection. It is a network of sensors, software and a command & control system. The purpose is to protect military and civilian objects and installations with an all-weather, 24-hour, modular, low-cost and mobile system. The system shall primarily be able to detect and track human activity in the area of interest and also detect and classify behaviour in order to trig appropriate actions. In order to show the concept in real life, an operational demonstrator was developed during 2006. The APN demonstrator currently consists of a radar (SIRS77), infrared sensors (PTES), visual sensors (video camera), image processing and data fusion software (Impress) and a command and control system (WCU) The APN demonstrator can currently detect and track multiple humans and/or vehicles in limited 3D. The tracks are presented on a map in the operator's graphical user interface. The operator can define multiple alarm zones in the map. If any track enters an alarm zone an alarm is triggered. The system also includes "blue force" tracking.

关键词： APN surveillance autonomous sensor security infrared radar protection demonstrator human

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A methodology for analyzing an acoustic scene in sensor arrays

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conference on unmanned/unattended sensors and sensor networks IV

作者： Man, Hong Hohil, Myron E. Desai, Sachi Stevens Inst Technol Hoboken NJ 07030 USA

ISBN: (纸本)9780819468949

Presented here is a novel clustering method for Hidden Markov Models (HMMs) and its application in acoustic scene analysis. In this method, HMMs are clustered based on a similarity measure for stochastic models defined as the generalized probability product kernel (GPPK), which can be efficiently evaluated according to a fast algorithm introduced by Chen and Man (2005) [1]. Acoustic signals from various sources are partitioned into small frames. Frequency features are extracted from each of the frames to form observation vectors. These frames are further grouped into segments, and an HMM is trained from each of such segments. An unknown segment is categorized with a known event if its HMM has the closest similarity with the HMM from the corresponding labeled segment. Experiments are conducted on an underwater acoustic dataset from Steven Maritime Security Laboratory, Data set contains a swimmer signature, a noise signature from the Hudson. River, and a test sequence with a swimmer in the Hudson River. Experimental results show that the proposed method can successfully associate the test sequence with the swimmer signature at very high confidence, despite their different time behaviors.

关键词： Acoustics sensors Stochastic processes Distance measurement Computer security Data modeling Feature extraction Principal component analysis Signal analysis Surveillance

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Failure prediction for satellite monitoring systems using Bayesian networks - art. no. 67360G

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conference on unmanned/unattended sensors and sensor networks IV

作者： Bottone, Steven Lee, Daniel Stanek, Clay O'Sullivan, Michael Spivack, Mark DataPath Inc Poway CA 92064 USA

ISBN: (纸本)9780819468949

Predicting failure in complex systems, such as satellite network systems, is a challenging problem. A satellite earth terminal contains many components, including high-powered amplifiers, signal converters, modems, routers, and generators, any of which may cause system failure. The ability to estimate accurately the probability of failure of any of these components, given the current state of the system, may help-reduce the cost of operation. Probabilistic graphical models, in particular Bayesian networks, provide a consistent framework in which to address problems containing uncertainty and complexity. Building a Bayesian network for failure prediction in a complex system such as a satellite earth terminal requires a large quantity of data. Software monitoring systems have the potential to provide vast amounts of data related to the operating state of the satellite earth terminal. Measurable nodes of the Bayesian network correspond to states of measurable parameters in the system and unmeasurable nodes represent failure of various components. Nodes for environmental factors are also included. A description of Bayesian networks will be provided and a demonstration of inference on the Bayesian network, such as the calculation of the marginal probability of failure nodes given measurements and the maximum probability state of the system for failure diagnosis will be given. Using the data to learn local probabilities of the network will also be covered.

关键词： Failure analysis Satellites Amplifiers Data modeling Complex systems Data analysis Statistical analysis Control systems Data conversion Systems modeling

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Time difference of arrival to blast localization of potential chemical/biological event on the move - art. no. 67360K

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conference on unmanned/unattended sensors and sensor networks IV

作者： Morcos, Amir Desai, Sachi Peltzer, Brian Hohil, Myron E. USA REDECOM Picatinny Arsenal NJ 07806 USA

ISBN: (纸本)9780819468949

Integrating a sensor suite with ability to discriminate potential Chemical/Biological (CB) events from high-explosive (HE) events employing a standalone acoustic sensor with a Time Difference of Arrival (TDOA) algorithm we developed a cueing mechanism for more power intensive and range limited sensing techniques. Enabling the event detection algorithm to locate to a blast event using TDOA we then provide further information of the event as either Launch/Impact and if CB/HE. The added information is provided to a range limited chemical sensing system that exploits spectroscopy to determine the contents of the chemical event. The main innovation within this sensor suite is the system will provide this information on the move while the chemical sensor will have adequate time to determine the contents of the event from a safe stand-off distance. The CB/HE discrimination algorithm exploits acoustic sensors to provide early detection and identification of CB attacks. Distinct characteristics arise within the different airburst signatures because HE warheads emphasize concussive and shrapnel effects, while CB warheads are designed to disperse their contents over large areas, therefore employing a slower burning, less intense-explosive to mix and spread their contents. Differences characterized by variations in the corresponding peak pressure and rise time of the blast, differences in the ratio of positive pressure amplitude to the negative amplitude, and variations in the overall duration of the resulting waveform. The discrete wavelet transform (DWT) is used to extract the predominant components of these characteristics from air burst signatures at ranges exceeding 3km. Highly reliable discrimination is achieved with a feed-forward neural network classifier trained on a feature space derived from the distribution of wavelet coefficients and higher frequency details found within different levels of the multiresolution decomposition. The development of an adaptive noise flo

关键词： sensors Acoustics Wavelets Artillery Discrete wavelet transforms Algorithm development Neurons Detection and tracking algorithms Neural networks Signal processing

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Mortar and artillery variants classification by exploiting characteristics of the acoustic signature - art. no. 67360J

引用

conference on unmanned/unattended sensors and sensor networks IV

作者： Hohil, Myron E. Grasing, David Desai, Sachi Morcos, Amir USA RDECOM Picatinny Arsenal NJ 07806 USA

ISBN: (纸本)9780819468949

Feature extraction methods based on the discrete wavelet transform and multiresolution analysis facilitate the development of a robust classification algorithm that reliably discriminates mortar and artillery variants via acoustic signals produced during the launch/impact events. Utilizing acoustic sensors to exploit the sound waveform generated from the blast for the identification of mortar and artillery variants. Distinct characteristics arise within the different mortar variants because varying HE mortar payloads and related charges emphasize concussive and shrapnel effects upon impact employing varying magnitude explosions. The different mortar variants are characterized by variations in the resulting waveform of the event. The waveform holds various harmonic properties distinct to a given mortar/artillery variant that through advanced signal processing techniques can employed to classify a given set. The DWT and other readily available signal processing techniques will be used to extract the predominant components of these characteristics from the acoustic signatures at ranges exceeding 2km. Exploiting these techniques will help develop a feature set highly independent of range, providing discrimination based on acoustic elements of the blast wave. Highly reliable discrimination will be achieved with a feed-forward neural network classifier trained on a feature space derived from the distribution of wavelet coefficients, frequency spectrum, and higher frequency details found within different levels of the multiresolution decomposition. The process that will be described herein extends current technologies, which emphasis multi modal sensor fusion suites to provide such situational awareness. A two fold problem of energy consumption and line of sight arise with the multi modal sensor suites. The process described within will exploit the acoustic properties of the event to provide variant classification as added situational awareness to the solider.

关键词： neural network artillery impact launch statistical analysis acoustic sensors and artillery

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Intelligent algorithms for persistent and pervasive sensing in systems comprised of wireless ad hoc networks of ground-based sensors and mobile infrastructures

Intelligent algorithms for persistent and pervasive sensing ...

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conference on Intelligent Computing - Theory and Applications V

作者： Hortos, William S. ACERT Orlando FL 32819 USA

ISBN: (纸本)9780819466822

With the development of low-cost, durable unmanned aerial vehicles (UAVs), it is now practical to perform persistent sensing and target tracking autonomously over broad surveillance areas. These vehicles can sense the environment directly through onboard active sensors, or indirectly when aimed toward ground targets in a mission environment by gound-based passive sensors operating wirelessly as an ad hoc network in the environment. The combination of the swarm intelligence of the airborne infrastructure comprised of UAVs with the ant-like collaborative behavior of the unattended ground sensors creates a system capable of both persistent and pervasive sensing of mission environment, such that, the continuous collection, analysis and tracking of targets from sensor data received from the ground can be achieved. Mobile software agents are used to implement intelligent algorithms for the communications, formation control and sensor data processing in this composite configuration. The enabling mobile agents are organized in a hierarchy for the three stages of processing in the distributed system: target detection, location and recognition from the collaborative data processing among active ground-sensor nodes;transfer of the target information processed on the ground to the UAV swarm overhead;and formation control and sensor activation of the UAV swarm for sustained ground-target surveillance and tracking. Intelligent algorithms are presented that can adapt to the operation of the composite system to target dynamics and system resources. Established routines, appropriate to the processing needs of each stage, are selected as preferred based on their published use in similar scenarios, ability to be distributively implemented over the set of processors at system nodes, and ability to conserve the limited resources at the ground nodes to extend the lifetime of the pervasive network. In this paper, the performance of this distributed, collaborative system concept for persis

关键词： persistent sensing swarm intelligence ad hoc networking network lifetime mobile software agents unattended aerial vehicle (UAV) ground sensors target positioning target surveillance

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Integrated Mobile and Static Sensing for Target Tracking

Integrated Mobile and Static Sensing for Target Tracking

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MILCOM, Military Communications conference

作者： Oliver Kosut Andrey Turovsky John Sun Matthew Ezovski Lang Tong Gene Whipps School of Electrical and Computer Engineering Cornell University Ithaca NY USA Army Research Laboratory USA

networks of low-power, low-cost, and widely distributed wireless sensor nodes are being envisioned and developed for many military applications including surveillance and localization. However, due to energy and communication constraints, combinations of static nodes (such as unattended ground sensors (UGS)) and mobile nodes (such as robotic ground vehicles (RGV) and unmanned aerial vehicles (UAV)) are being used to expand or fill in coverage areas and reduce energy costs. A multi-chaser target tracking scenario is developed where mobile nodes, or chasers, use information provided by static nodes to infer the position of an intruder in the sensor grid. In large-scale sensor networks with mobile access, the communication range of static nodes may be limited by terrain and signal transmission energy. A drop-box static sensor architecture is developed to aid data propagation in such limited range networks. Chasers will "drop off" previously collected information about the target and retrieve new information stored in the static sensors. An algorithm is presented which takes advantage of this particular architecture. It is used to demonstrate that the drop-box nature of the static nodes improves performance.

关键词： Target tracking Wireless sensor networks Mobile communication unmanned aerial vehicles Surveillance Mobile robots Robot sensing systems Land vehicles Costs Large-scale systems

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Multifunctional, self-sensing microcantilever arrays for unattended detection of chemicals, explosives, and biological agents

Multifunctional, self-sensing microcantilever arrays for una...

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conference on unmanned/unattended sensors and sensor networks III

作者： Rogers, B. Whitten, R. Adams, J. D. Nevada Nanotech Syst Inc 661 Sierra Rose Dr Reno NV 89511 USA

ISBN: (纸本)9780819464927

unattended sensing applications necessitate robust, compact, low-cost, low-power sensor units. The microcantileverbased Self-Sensing Array (SSA) technology developed by Nevada Nanotech Systems, Inc. (NNTS) is a strong candidate for such units. SSA technology is expected to provide the selectivity, sensitivity, durability, low cost, and low power needed for unattended sensors and sensor networks. The sensor employs a variety of sensor coatings and the ability to analyze the electrical and thermal properties of molecules on the cantilevers. This so-called Lab-on-a-Tip(TM) technology could lead to enhanced chemical identification capabilities of the trace detection platform.

关键词： microcantilever array unattended multidimensional sensor

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A software design approach for heterogeneous systems of unattended sensors, unmanned vehicles and monitoring stations

A software design approach for heterogeneous systems of unat...

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conference on unmanned/unattended sensors and sensor networks III

作者： Smuda, William J. Gerhart, Grant Shing, Man-Tak Auguston, Mikhail USA Tank Automot RDE Ctr 6501 E 11 Mile Rd Warren MI 48397 USA Naval Postgrad Sch Monterey CA USA

ISBN: (纸本)9780819464927

The design and implementation of software for network systems of diverse physical assets is a continuing challenge to sensor network developers. The problems are often multiplied when adding new elements, and when reconfiguring existing systems. For software systems, like physical systems, explicit architectural descriptions increase system level comprehension. Coupled with well defined object oriented design practices, system extensibility is defined and software reuse and code composition are enabled. Our research is based on model driven design architecture. High level system models are defined in the Unified Modeling Language (UML), the language of the software engineer. However, since most experimental work is done by non-software specialists, (electronics Engineers, Mechanical Engineers and technicians) the model is translated into a graphical, domain specific model. Components are presented as domain specific icons, and constraints from the UML model are propagated into the domain model. Domain specialists manipulate the domain model, which then composes software elements needed at each node to create an aggregate system.

关键词： software design unattended sensors unmanned vehicles model driven design software reuse UML distributed systems design patterns software components JAUS

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