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IEEE Global conference on Signal and information processing (GlobalSIP)

作者： Stephan Schlupkothen Guido Dartmann Gerd Ascheid Chair for Integrated Signal Processing Systems RWTH Aachen University Germany

In this paper algorithms for wireless sensor networks (WSN) localization and tracking are presented. They are optimized for the exploration of inaccessible environments with unknown shape and dynamics. The algorithms are based on semidefinite programming (SDP) and unscented Kalman filtering (UKF). The SDP approach is derived from a recent solution for WSN localization with anchor node uncertainty, but has been formulated iteratively and allows, therefore, the utilization of massive sensors swarms, which has not been investigates so far.

关键词： sensors Wireless sensor networks Noise Kalman filters Complexity theory Distance measurement Accuracy

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sensor-based mobile functional movement screening

Sensor-based mobile functional movement screening

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3rd International conference on Wireless Mobile Communication and Healthcare, MobiHealth 2012

作者： Jensen, Ulf Weilbrenner, Fabian Rott, Franz Eskofier, Bjoern Pattern Recognition Lab University of Erlangen-Nuremberg Germany Adidas innovation team ait adidas Group Herzogenaurach Germany

ISBN: (纸本)9783642378928

The Functional Movement Screen™(FMS) is a useful tool to assess functional abilities in a pre-participation screening. Its seven dynamic movement tests reveal shortcomings in stability and mobility and screen the whole body. However, the current test protocol delivers results that are subjective, qualitative and have to be manually processed. This article presents a semi-automatic system to overcome these limitations for the Deep Squat test. The system consists of four wireless inertial sensors and a central Android™-based processing node for data analysis and result storage. We developed our system based on data from ten subjects and evaluated the results with the FMS scoring guidelines. The sensor-based scoring system completely agreed with the manual scoring in eight out of ten subjects. In addition, quantitative information in case of compensation movements was logged. Thus, our system is capable of simplifying the FMS test and enhances the score with objective, quantitive and automatic results. © Institute for Computer Sciences, Social Informatics and Telecommunications Engineering 2013.

关键词： Body sensor networks

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2013 2nd International conference on information Technology and Management Innovation, ICITMI 2013

2013 2nd International Conference on Information Technology ...

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2nd International conference on information Technology and Management Innovation, ICITMI 2013

ISBN: (纸本)9783037858646

The proceedings contain 642 papers. The special focus in this conference is on information processing and information Security, information Storage and Database System, Software Engineering, Computer networks, Modern Technologies in Communication and Navigation, Multimedia Technology, Data and Signal processing, processing Image and Video, Applied and Computational Mathematics, sensors, Detection Technology and Instrument, Automation, Control and Mechatronics and Artificial Intelligence and Optimization Algorithm. The topics include: Lattice-Based multi-signature schemes;implementation of RFID middleware based on hash chain;a novel RFID authentication protocol based on NTRU;roles generation for applications in RBAC model;a trust-aware access control policy for cloud data protection;information fusion based on improved D-S evidence theory;the design and realization of the single-block hash function for the short message;a secure cloud computing scaling model;multi-parameters predicting method of geo-pressure in carbonate formation;towards a computer-based information retrieval systems process;personalized web service recommendation based on user interest;towards capturing population-wide expertise via online professional social network systems;a low power design of sm4 cipher based on MUX S-box architecture;an impersonating-resilient key agreement scheme for wireless sensor networks;a review of scientific publishing platforms;an identity authentication scheme based on dynamic password technology;a model of LBS privacy protection based on collaboration;ontology-based semantic similarity measure with concept lattice;study on cloud computing clusters based on coordination method;the research on dynamics evolution patterns of online public opinion;EID system's privacy protection enhancement design;structured document model in digital community;improving frequent-term based text clustering with word belief network discussion based on document management system of chemical

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Distributed localization of an unknown target in NLOS environments

Distributed localization of an unknown target in NLOS enviro...

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International conference on information, Communications and Signal processing

作者： Wenjie Xu Mei Leng Wee Peng Tay Sirajudeen Gulam Razul School of Electrical and Electronic Engineering Nanyang Technological University Singapore Temasek Laboratories Nanyang Technological University Singapore

ISBN: (纸本)9781479904327

We propose a novel distributed on-line expectation maximization method for passive target localization in wireless sensor networks where multiple sensors cooperate to process the location information obtained from the radio signal transmitted by the target. We consider the scenario where few or no sensors receive line of sight signals. Each sensor computes the time difference of arrival of the target's signal with respect to a reference node and the angle of arrival. Our algorithm is shown to converge and simulation results suggest that our algorithm outperforms the distributed maximum likelihood estimator.

关键词： sensors Wireless sensor networks Maximum likelihood estimation Noise Signal processing algorithms Standards

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On soft measurements and data mining based on granular pragmatics, multi-valued and fuzzy logics

On soft measurements and data mining based on granular pragm...

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conference of the North American Fuzzy information processing Society - NAFIPS

作者： Valery B. Tarassov Maria N. Svyatkina CIM Department Bauman Moscow State Technical University Moscow Russia

ISBN: (纸本)9781479903467

The concept of Soft Measurements as a natural Counterpart of Soft Computing is discussed. The differences between hard and soft measurements are shown. To do this main features of Wireless sensor networks are considered. The tight connections between soft measurements and mining data from sensor networks are revealed. A new approach to soft measurements based on distributed cognition and information granularity is proposed. Such fundamental granulation concepts as granular algebraic system and fuzzy granular logical matrix are introduced, the notion of logical pragmatics is clarified. These basic concepts underlie the construction of logical granules. Two important sensor types for intelligent sensor networks - Vassiliev's sensor and Belnap's sensor - are suggested, the representation of the latter by logical lattice and minimal bilattice is considered. A bilattice-based model of sensors communications and negotiations in sensor network is developed. Interpretations of basic granular pragmatic truth values for two communicating sensors are suggested. The map for dealing with different sensor data inconsistencies is constructed. The transition from crisp to fuzzy Belnap's sensors equipped by fuzzy pragmatics is justified. The fuzzy dialogue model in sensor network is developed.

关键词： Pragmatics Lattices Data mining Wireless sensor networks Semantics Uncertainty Measurement uncertainty

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Lifetime prolonging in LEACH protocol for wireless sensor networks

Lifetime prolonging in LEACH protocol for wireless sensor ne...

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International conference on intelligent Systems and Signal processing (ISSP)

作者： Ashish Christian Himanshu Soni Department of Electronics & Communication Engineering Vidhya Nagar G.H. Patel College of Engineering and Technology Vallabh Vidyanagar India Department of Electronics & Communication Engineering G.H. Patel College of Engineering and Technology Vallabh Vidyanagar India

ISBN: (纸本)9781479903160

The expeditious transformation of hardware technology has empowered the reinforcement of small, inexpensive, static and dynamic powerful sensor nodes, which are capable of sensing, computation and wireless communication on wide range of frequency with various modulation technique. This revolutionizes the implementation of wireless sensor network for considerable dimensions like overseeing some geographic area and parameter collection task. However, a limited energy constraint presents a major challenge such vision to become reality. In this paper we have attempted to explain how the wireless sensor networks are formed and how the various nodes present in those networks act as interdependent communicating nodes. LEACH (Low Energy Adaptive Clustering Hierarchy) [2] is one of the popular cluster-based structures, which has been widely proposed in wireless sensor networks. We are proposing the iLeach protocol (Improved Low-Energy Adaptive Clustering Hierarchy) and comparing to LEACH protocol. Lifetime of sensors is evaluated in terms of FND (First Node Dies) and HND (Half of the Nodes Die) [11] which will take care for the reliability and power efficiency of a wireless sensor network.

关键词： Protocols Wireless sensor networks Base stations Clustering algorithms Mathematical model Energy states Batteries

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Real-time, low power neuromorphic hardware for autonomous object recognition

Real-time, low power neuromorphic hardware for autonomous ob...

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conference on Airborne Intelligence, Surveillance, Reconnaissance (ISR) Systems and Applications X

作者： Khosla, Deepak Chen, Yang Huber, David J. Van Buer, Darrel J. Kim, Kyungnam Cheng, Shinko Y. HRL Labs LLC Malibu CA 90265 USA

ISBN: (纸本)9780819495044

Unmanned surveillance platforms have a ubiquitous presence in surveillance and reconnaissance operations. As the resolution and fidelity of the video sensors on these platforms increases, so does the bandwidth required to provide the data to the analyst and the subsequent analyst workload to interpret it. This leads to an increasing need to perform video processing on-board the sensor platform, thus transmitting only critical information to the analysts, reducing both the data bandwidth requirements and analyst workload. In this papert, we present a system for object recognition in video that employs embedded hardware and CPUs that can be implemented onboard an autonomous platform to provide real-time information extraction. Called NEOVUS (NEurOmorphic Understanding of Scenes), our system draws inspiration from models of mammalian visual processing and is implemented in state-of-the-art COTS hardware to achieve low size, weight and power, while maintaining real-time processing at reasonable cost. We use visual attention methods for detection of stationary and moving objects from a moving platform based in motion and form, and employ multi-scale convolutional neural networks for classification, which has been mapped to FPGA hardware. Evaluation of our system has shown that we can achieve real-time speeds of thirty frames per second with up to five-megapixel resolution videos. Our system shows three to four orders of magnitude in power reduction compared to state of the art computer vision algorithms while reducing the communications bandwidth required for evaluation.

关键词： neuromorphic computing low-power hardware object recognition automated surveillance real-time video processing

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Demo abstract: A magnetic field-based appliance metering system

Demo abstract: A magnetic field-based appliance metering sys...

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International Symposium on information processing in sensor networks (IPSN)

作者： Niranjini Rajagopal Suman Giri Mario Berges Anthony Rowe Electrical and Computer Engineering Department Civil and Environmental Engineering Department Carnegie Mellon University Pittsburgh PA

In this demonstration, we show an energy measurement system that estimates the energy consumption of individual appliances using a wireless sensor network consisting of contactless electromagnetic field (EMF) sensors deployed near each appliance, and a whole-house power meter [1]. The EMF sensor can detect appliance state transitions within close proximity based on magnetic field fluctuations. Data from these sensors are then relayed back to the main meter using a low-latency wireless sensor networking protocol, where changes in the total power consumption of the house are used to determine the power usage of individual appliances. The sensors are low-cost, easy to deploy and are able to detect current changes associated with the appliance from a few inches away making it possible to externally monitor in-wall wiring to devices like overhead lights or heavy machinery that might operate on multiple phases of the AC distribution system of the building. Appliance-level energy data provide continuous feedback to end users about their consumption patterns and provide building managers accurate information that can be used to target the most effective update and retrofit strategies.

关键词： Home appliances Magnetic sensors Wireless sensor networks Power demand Plugs Monitoring

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Mountain landslide monitoring based on wireless sensor network

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information Technology Journal 2013年第15期12卷 3357-3362页

作者： Li, Xiaoling Yuan, Jimin School of Computer Science and Technology Chengdu University 610106 Chengdu China University Key Laboratory of Pattern Recognition Intelligent Information Processing 610106 Chengdu China Department Computer Engineering Chengdu Aeronautic Vocational and Technical College Chengdu 610000 China

The study provides a design scheme for the mountain landslide monitoring System based on wireless sensor networks. Different sensors are mainly used to collect data about the water depth in the soil and the sloping angel of the hillside in real-time. After data analysis and processing by monitoring center, the warning information is provided for related departments to take effective measures rapidly to protect people's lives and properties. © 2013 Asian Network for Scientific information.

关键词： Landforms

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POWER ALLOCATION FOR GAUSSIAN MIXTURE MODEL PRIOR KNOWLEDGE IN WIRLESS sensor networks

POWER ALLOCATION FOR GAUSSIAN MIXTURE MODEL PRIOR KNOWLEDGE ...

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IEEE International conference on Acoustics, Speech and Signal processing

作者： Z. Azmat H. D. Tuan Faculty of Engineering and Information Technology University of Technology

ISBN: (纸本)9781479903573

This paper presents power allocation in nonlinear sensor networks for Gaussian Mixture (GM) information source. The observations of sensors are transmitted through independent Rayleigh flat fading channels to a fusion centre (FC). Transmit Power is optimally allocated to sensor nodes so as to minimize the mean square error (MSE) of estimate at FC. Bayesian linear and optimal nonlinear estimators are deployed at FC to compare the proposed optimal and uniform power allocation among sensors. Extensive simulations validate that the proposed Bayesian linear estimator with optimized power gains effectively works for GM prior distribution.

关键词： Wireless sensor networks Gaussian Mixture Models Unscented Transformations Mixture models power splitting Wireless sensor networks Mean square error sensors Gauss knowledge

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