An algorithm for integrating foot-mounted inertial sensors into a Bayesian location estimation framework is presented. The proposed integration scheme is based on a cascaded estimation architecture. A lower Kalman fil...
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An algorithm for integrating foot-mounted inertial sensors into a Bayesian location estimation framework is presented. The proposed integration scheme is based on a cascaded estimation architecture. A lower Kalman filter is used to estimate the step-wise change of position and direction of the foot. These estimates are used in turn as measurements in an upper particle filter, which is able to incorporate nonlinear map-matching techniques. Experimental data is used to verify the proposed algorithm.
A novel fuzzy clustering based target extraction algorithm for FLIR imagery using spatio-temporal technique is presented. Firstly, in temporal domain, we establish the Gauss distribution model of frame difference back...
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A novel fuzzy clustering based target extraction algorithm for FLIR imagery using spatio-temporal technique is presented. Firstly, in temporal domain, we establish the Gauss distribution model of frame difference background by incorporating the motion information of the target. And then, the infrared target region is determined based on changedetection mask. Secondly, in spatio domain, the improved fuzzy clustering algorithm is proposed by modifying the fuzzy membership function. The spatial relation matrix between pixel and region is constructed to constrain this function. The region which contains the entire target is segmented efficiently based on the improved fuzzy clustering algorithm. At last, infrared target extraction is achieved by the fusion of spatio and temporal results. Experimental results show that the proposed algorithm is simple and effective which can facilitate the target recognition and tracking in the next step.
What actually is done in case of text summarization in case based reasoning terminology is that, the situation is defined as the ensemble of some consecutive sentences, and the solution is the set of the sentences sel...
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What actually is done in case of text summarization in case based reasoning terminology is that, the situation is defined as the ensemble of some consecutive sentences, and the solution is the set of the sentences selected as the outcome of the summarization process. In order to make a quality summary considering the context, a semantic understanding, seems to be important. In this respect we propose an approach to use a two layered CBR approach. Regarding this, we proposed an approach to text summarization based on two layered case based reasoning framework. Regarding this, the primary CBR cycle tries to make a summary of the source text, and the secondary CBR cycle tries to detect the context, and changes the bias values (fixed values) related to the primary CBR modules.
An accurate analysis of radiation data is essential in many nuclear related applications. In the intelligent model assisted sensing system (iMASS) development, nuclear resonance fluorescence (NRF) spectra of radioacti...
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An accurate analysis of radiation data is essential in many nuclear related applications. In the intelligent model assisted sensing system (iMASS) development, nuclear resonance fluorescence (NRF) spectra of radioactive isotopes are used for detection of nuclear material in cargo containers at US ports. The NRF spectrum of a particular radioactive isotope has a unique signature at unique energy levels. This paper presents a statistical processing algorithm, Peakseek, developed to identify radiation peaks in NRF spectra with a certain degree of confidence. The algorithm tracks the changes in the count rate (theta) of the NRF spectrum and identifies the point of abrupt change in the count rate, i.e., energy level. Identification of abrupt changes in the count rate is performed on the basis of a generalized likelihood ratio statistical test.
Mobile communication links require adaptive equalization with a fast rate of convergence while keeping computational effort at reasonable levels. In this paper we propose to combine known algorithms for blind equaliza...
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Mobile communication links require adaptive equalization with a fast rate of convergence while keeping computational effort at reasonable levels. In this paper we propose to combine known algorithms for blind equalization in order to exploit their desirable properties to reach this goal. A switching criterion is proposed which is based on the change in the equalizer impulse response between iterations of the adaption algorithm and may be used to detect changes of the channel impulse response. algorithms under consideration include Godard's algorithm, stop-and-go algorithm, and tricepstrum equalization algorithm (TEA).
This paper presents a time-domain, Moving Target Indication (MTI) processing formulation for detecting slow-moving personnel behind walls. The proposed time-domain MTI processing formulation consists of change detecti...
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ISBN:
(纸本)9781424458110;9781424458127
This paper presents a time-domain, Moving Target Indication (MTI) processing formulation for detecting slow-moving personnel behind walls. The proposed time-domain MTI processing formulation consists of changedetection and automatic target recognition algorithms. We demonstrate the effectiveness of the MTI processing formulation using data collected by an impulse-based, low-frequency, ultra-wideband radar. In this paper, we describe our radar system and algorithms used for the automatic detection of moving personnel. We also analyze the false alarm and detection rate of four operational scenarios of personnel walking inside wood and cinderblock buildings.
We present a novel location-aware multi-channel medium access control (MAC) protocol for large-scale dense mobile ad hoc networks (MANETs) based on a scalable two-phase coding scheme, where the first-phase code is use...
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ISBN:
(纸本)0769522602
We present a novel location-aware multi-channel medium access control (MAC) protocol for large-scale dense mobile ad hoc networks (MANETs) based on a scalable two-phase coding scheme, where the first-phase code is used to differentiate adjacent cells and the second-phase code is employed to distinguish nodes in one specific cell. It eliminates the hidden terminal problem (HTP) during data transmission without requiring periodical exchange of neighborhood information. Furthermore, we introduce a collision resolution mechanism in the control channel. We analyze the performance of the proposed protocol in terms of control overhead. Its theoretical results are confirmed by simulations and it is demonstrated that the new protocol significantly outperforms the classical code division multiple access (CDMA) based multi-channel MAC protocols.
A wideband interference cancellation using adaptive antenna arrays is the objective of this paper. A comparison between the performance of the adaptive interference canceller with least mean square error (AIC-LMS) and...
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A wideband interference cancellation using adaptive antenna arrays is the objective of this paper. A comparison between the performance of the adaptive interference canceller with least mean square error (AIC-LMS) and the higher order statistics (AIC-HOS), fourth order cumulant based algorithm is presented. The performances of both algorithms are compared through computer simulations. The effects of the number of interference sources, and the change of the direction of arrival and the frequency band of the interference sources on the performance of the adaptive interference canceller are evaluated. It is found that the AIC-HOS algorithm exhibits a better adaptation speed and greater detection capability of the desired signal than that of the LMS one.
The Hurst parameter characterizes the degree to which a time series is long range dependent (LRD). The value of this parameter can be used as an input to algorithms for bandwidth allocation, buffer sizing and congesti...
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The Hurst parameter characterizes the degree to which a time series is long range dependent (LRD). The value of this parameter can be used as an input to algorithms for bandwidth allocation, buffer sizing and congestion control. However, for these algorithms to be effective over the long run they must change their actions when the value of the Hurst parameter changes. We demonstrate a new technique which uses a wavelet decomposition to detect a change in the Hurst parameter. Our technique tests the variance structure of the wavelet coefficients at multiple scales and uses changes in variance to signal a change in the value of the Hurst parameter. The efficacy of the proposed technique is demonstrated by comparing its performance to that of another recently proposed method for changedetection. The performance tests were conducted using artificially generated data sets which contain changes in the Hurst parameter of known position, magnitude and sign.
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