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Underwater sensor networks, oceanography and plankton assemblages

Underwater sensor networks, oceanography and plankton assemb...

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3rd Intelligent sensors, sensor Networks and Information processing Conference

作者： Bondarenko, Olga Kininmonth, Stuart Kingsford, Michael James Cook Univ North Queensland Sch Marine & Trop Biol Townsville Qld 4810 Australia Australian Inst Marine Sci Townsville Qld 4819 Australia

ISBN: (纸本)9781424415014

The Great Barrier Reef Australia (GBR) is affected by cold water intrusions originating in the Coral Sea and upwelled on the reef Therefore biological interest in GBR upwellings has been driven by the view that upwelled waters rich in nutrients boost plankton production and overall productivity of the GBR system. We propose to employ a Wireless sensor Network (WSN) for in situ monitoring of upwellings. Temperature is a good proxy for upwellings however 3D dense spatial data is required to describe upwellings and their impact on plankton abundance. The array of underwater sensors was deployed at various depths on the coral reef in Nelly Bay, Magnetic Island, GBR. We propose that the temperature data is communicated real time using RF signal to the on-shore base station. WSN has capability to communicate temperature data in real time thus offering the opportunity for rapid response times to measure the biological impact of upwellings on reef assemblages. This permits us to collect the plankton data in real-time synchronized to the temperature changes. This paper outlines the methods of the deployment of WSN for ecological research. It also describes preliminary results.

关键词： Wireless sensor networks

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Intelligent processing of E-nose information for fish freshness assessment

Intelligent processing of E-nose information for fish freshn...

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3rd Intelligent sensors, sensor Networks and Information processing Conference

作者： GholamHosseini, H. Luo, Dehan Liu, Hongxiu Xu, Guanggui Auckland Univ Technol Sch Engn Private Bag 92006 Auckland 1142 New Zealand Guangdong Univ Technol Sch Informat Engn Guangzhou 510006 Guangdong Peoples R China

ISBN: (纸本)9781424415014

Intelligent odour detection is a challenging research topic and requires an in depth study into types of sensors, advanced signal processing and pattern recognition methods. Electronic nose (E-nose) can be used to identify odour variety, aroma intensity and degree of freshness. The E-nose consists of an array of conductometric chemical sensors which change resistance when exposed to vapours. The applications of commercial E-noses are broad and continuously expanding to various areas such as environmental monitoring, medical instrumentation, and food industries. This paper presents intelligent processing of information collected by a portable 32-sensor E-nose for fish freshness assessment. We used artificial neural networks (ANNs) to design an intelligent system for measuring of the freshness of spoiling fish. It was found that the degree of selectivity and the type of odours that could be detected by the E-nose are largely dependent on the choice and number of sensors in the sensor array. We identified the most sensitive sensors, which provide a good estimation of freshness assessment in a laboratory environment. The information processing method was applied to collected data from four species. The procedure was repeated every day during a period of ten days after catching the fish. It was found that the proposed intelligent system can successfully identify the number of days after catching the fish with an accuracy of up to of 91%. The results obtained from this research suggest that the proposed assessment method can be used in the design of an intelligent fish freshness assessment system.

关键词： Electronic nose

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Smart synthetic material arresting cable based on embedded distributed fiber optic sensors

Smart synthetic material arresting cable based on embedded d...

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3rd European workshop on Optical Fibre sensors

作者： Mendoza, Edgar Prohaska, John Kempen, Cornelia Bentley, Douglas Murdock, Chad Piatkowski, David White, Lonnie Redondo Opt Inc Redondo Beach CA 90277 USA Cortland Cable Co Cortland NY USA NAVAIR Lakehurst Lakehurst NJ USA

ISBN: (纸本)9780819467614

Redondo Optics Inc. in collaboration with the Cortland Cable Company and the US. Navy under a Navy sponsored SBIR program is in the process of developing an embedded distributed fiber optic sensor (EDIFOSTM) system for the real-time, structural health monitoring, damage assessment, and lifetime prediction of full scale synthetic material arresting gear cables. The EDIFOSTM system uses a distributed array of fiber Bragg grating sensors, sensitive to stress/strain, impact damage, kinking and bending, and temperature, embedded within the strands of a synthetic material arresting cable structure. Fiber Bragg grating sensors are a mature technology typically used for the in-situ structural health monitoring of advanced structures. The periodic grating produces an optical, wavelength-encoded signal whose properties are dependent on the structural, and mechanical environment of the sensor fiber. The FBG sensor interrogation system monitors the status of each of the individual FBG sensors distributed along the embedded sensor fibers and transforms this information in real-time in to a graphical display of the stress/strain and temperature state of the entire arresting gear cable. An alarm system triggers to pinpoint those locations of potential damage.

关键词： Fiber Bragg gratings sensors Fiber optics sensors Prototyping Structured optical fibers Structural health monitoring Digital signal processing Environmental sensing Distributed computing Transform theory

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A CMOS-based Microelectrode array for Information processing with Natural Neurons

A CMOS-based Microelectrode Array for Information Processing...

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International ieee/EMBS Conference on Neural Engineering, CNE

作者： S. Hafizovic F. Heer U. Frey T. Ugniwenko A. Blau C. Ziegler A. Hierlemann Physical Electronics Laboratory ETH Zurich Zurich Switzerland Department of Physics University of Kaiserslautern Kaiserslautern Germany

We report on a complementary-metal-oxide-semiconductor-based system that is capable of bidirectionally communicating (stimulation and recording) with electrogenic cells such as neurons or cardiomyocytes. It is is targeted at investigating electrical signal propagation within cellular networks in vitro. Experiments including the stimulation of neurons with two different spatio-temporal patterns and the recording of the triggered spiking activity have been carried out. The neuronal response patterns have been successfully classified (83% correct classifications) with respect to the different stimulation patterns. It will be demonstrated that information processing using natural neuronal networks may be possible

关键词： Microelectrodes Information processing Neurons Electrodes sensor arrays Cardiology Voltage CMOS technology Temperature sensors Neural engineering

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Polarization-based high resolution radar scatterer classification

Polarization-based high resolution radar scatterer classific...

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4th ieee sensor array and multichannel signal processing workshop

作者： Sprouse, C. Burlina, P. Awadallah, R. Johns Hopkins Univ Appl Phys Lab Johns Hopkins Rd Laurel MD 20723 USA

ISBN: (纸本)1424403081

We consider the use of polarization diversity for the detection, tracking and classification of scattering centers in high range resolution radar (HRR) data. Specifically, we propose a novel exploitation of polarization ratios to label moving scattering features into various geometrical classes including edges, tips or smooth reflectors. We demonstrate scattering-center labeling for both parametric and non-parametric classification algorithms. Experimental results on simulated HRR data are provided and indicate that polarimetric information can be exploited for geometrical typing of scatterers.

关键词： Radar

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A synthetic acoustic volumetric array

A synthetic acoustic volumetric array

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4th ieee sensor array and multichannel signal processing workshop

作者： Rigelsford, Jonathan M. Tennant, Alan Univ Sheffield Dept Elect & Elect Engn Sheffield S1 3JD S Yorkshire England

This paper presents a novel synthetic aperture method, which can be used to reduce the average sidelobe level of a random spherical volumetric array. The technique exploits a general property of random arrays in which... 详细信息

ISBN: (纸本)1424403081

关键词： Ultrasonography

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Blind timing synchronization for OFDM systems via adaptive beamforminga

Blind timing synchronization for OFDM systems via adaptive b...

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4th ieee sensor array and multichannel signal processing workshop

作者： Yang, Kehu He, Xueyao Xidian Univ EE Res Inst S Taibai Rd 2 Xian 710071 Peoples R China

ISBN: (纸本)1424403081

It is known that blind timing synchronization of OFDM systems can be realized for AWGN channels using the redundant information of cyclic prefix. In this paper, we extend the blind method to the case of array receivers via adaptive beamforming, and a new approach is proposed to improve the synchronization accuracy for high data rate OFDM systems, where rich multipath rays are present. The extended method is to coherently combine the desired signals of array receivers and suppress the undesired signals using adaptive beamforming. And the approach is to reduce the effect of multipath rays on synchronization. Simulation results show that in rich multipath scenarios the approach works effectively both in the absence and the presence of carrier frequency offset.

关键词： Blind source separation

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Link between the joint diagonalisation of symmetrical cubes and PARAFAC: An application to Secondary Surveillance Radar

Link between the joint diagonalisation of symmetrical cubes ...

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4th ieee sensor array and multichannel signal processing workshop

作者： Petrochilos, Nicolas Comon, Pierre Univ Reims CReSTIC Moulins HousseBP 1039 F-51687 Reims 2 France Univ Nice CNRS I3S AlgorithmesBP F-06093 Nice France

ISBN: (纸本)1424403081

The Manchester Decoding Algorithm (MDA) presented in [1] succeeds in separating Secondary Surveillance Radar (SSR) replies impinging on an array. The final step of the MDA consist of jointly diagonalizing a collection of several symmetric cubes by a sub-optimal technique. In this article, we demonstrate that it is in fact a PARAFAC problem with an almost symmetric solution. Furthermore, comparisons with other algorithms are carried out, with the help of computer simulations.

关键词： Surveillance radar

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Indoor localization using subspace matching: An experimental evaluation

Indoor localization using subspace matching: An experimental...

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4th ieee sensor array and multichannel signal processing workshop

作者： Tsuji, Hiroyuki Kikuchi, Shohei Kaveh, Mostafa Natl Inst Informat & Commun Technol 3-4Hikarino Oka Yokosuka Kanagawa 2390847 Japan Keio Univ Sch Integrated Design Engn Yokohama Kanagawa 2238522 Japan Univ Minnesota Minneapolis MN 55455 USA

ISBN: (纸本)1424403081

We propose a method of indoor localization using array sensors. This method uses not only the signal strengths of received signals, but also the spatial information of impinging signals on array sensors. The signal subspaces, which include information about the strengths and angles of arrival of impinging signals on the array sensors, are used to identify the location of the terminal. We use the cosines of the principal angles between the signal subspaces of the spatial covariance matrices of the signals received at an array antenna to measure the similarity between signals transmitted from two locations. We conducted an experiment indoors to confirm the validity and effectiveness of our method. The experimental results confirm its effectiveness.

关键词： sensor arrays

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Three variants of an outlier removal algorithm for radar STAP

Three variants of an outlier removal algorithm for radar STA...

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4th ieee sensor array and multichannel signal processing workshop

作者： Lin, F. C. Rangaswamy, M. Wolfe, Capt. P. Chaves, J. C. Krishnamurthy, A. K. ARCON Corp 260 Bear Hill Rd Waltham MA 02451 USA US AFRL Hanscom AFB MA 01731 USA Ohio Supercomp Ctr Columbus OH 43212 USA

ISBN: (纸本)1424403081

For space-time adaptive processing (STAP), we present three variants of an outlier removal algorithm, the self-censoring reiterative fast maximum likelihood (SCRFML). Specifically, these three SCRFML variants are implemented for three STAP methods, i.e., normalized adaptive matched filter (NAMF), normalized parametric adaptive matched filter (NPAMF), and low-rank normalized adaptive matched filter (LRNAMF). We demonstrated that the SCRFML algorithm can systematically reduce the number of dominant eigenvalues after successive regularization have been applied to the sample/parametric covariance matrix estimate. Then, we show that the model order for NPAMF can be determined from the simulation of cutoff signal-to-noise ratio versus sample support. After the application of outlier removal variants, we compare the detection performance and computational costs of these STAP methods.

关键词： Radar systems

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