The US Army's Communications Electronics Research, Development & Engineering Center (CERDEC) Night Vision and Electronic Sensors Directorate (referred to as NVESD) is developing a virtual detection, recognitio...
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ISBN:
(纸本)9781510600614
The US Army's Communications Electronics Research, Development & Engineering Center (CERDEC) Night Vision and Electronic Sensors Directorate (referred to as NVESD) is developing a virtual detection, recognition, and identification (DRI) testing methodology using simulated imagery as a means of augmenting the field testing component of sensor performance evaluation, which is expensive, resource intensive, time consuming, and limited to the available target(s) and existing atmospheric visibility and environmental conditions at the time of testing. Existing simulation capabilities such as the Digital Imaging Remote Sensing Image Generator (DIRSIG) and NVESD's Integrated Performance Model Image Generator (NVIPM-IG) can be combined with existing detection algorithms to reduce cost/time, minimize testing risk, and allow virtual/simulated testing using full spectral and thermal object signatures, as well as those collected in the field. NVESD has developed an end-to-end capability to demonstrate the feasibility of this approach. Simple detection algorithms have been used on the degraded images generated by NVIPM-IG to determine the relative performance of the algorithms on both DIRSIG-simulated and collected images. Evaluating the degree to which the algorithm performance agrees between simulated versus field collected imagery is the first step in validating the simulated imagery procedure.
structured analysis of transition systems concerns paths, building blocks, representations, and effective computations of semantics, thus having significant influence on practical applications of graph theory. For ins...
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ISBN:
(纸本)9781509048717
structured analysis of transition systems concerns paths, building blocks, representations, and effective computations of semantics, thus having significant influence on practical applications of graph theory. For instance, part of these results plays important roles in formal language studies, compiler designs and genetic programming. This paper aims to introduce relations among them, and to present related algorithms for calculating of them.
Statistical model of measuring signals in systems of time domain reflectometry was proposed. On the basis of this reflectometry the estimates of reflected signal parameters were obtained by means of complete sufficien...
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ISBN:
(纸本)9781509040698
Statistical model of measuring signals in systems of time domain reflectometry was proposed. On the basis of this reflectometry the estimates of reflected signal parameters were obtained by means of complete sufficient statistics. Simulation modeling, which confirmed the consistency and efficiency of the estimates, was conducted. Based on the principle of unbiasedness the synthesis of uniformly most powerful unbiased detection algorithm of change in slope parameter of linearly-varying measuring signal was carried out. Simulation modeling has indicated the efficiency of the algorithm and expediency of its application to detect small changes in the measuring signal parameters of time domain reflectometry systems.
This paper proposes a diagnosis technique algorithm for a brushless dc motors under a stator inter-turn fault (ITF) condition using input impedance. The algorithm has early detection and various speed-range detection ...
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This paper proposes a diagnosis technique algorithm for a brushless dc motors under a stator inter-turn fault (ITF) condition using input impedance. The algorithm has early detection and various speed-range detection advantages. To early and accurately detect the ITF, the rotating speed, input current, voltage, resistance, and inductance must be analyzed. Therefore, we choose the input impedance as the detection factor because it includes all these factors. In this paper, the fault-detection system works without requiring a fast Fourier transform and the calculation of the negative-sequence impedance from the comparison of the measured impedance with the database impedance. The proposed technique was verified by the simulation and experiment.
[Auto Generated] 1 Introduction 1 1.1 The BeBe System 1 2 Background 2 2.1 Computational architectures 2 2.2 Continuous speech 4 2.3 Phoneme models 6 2.4 Human speech recognition 6 2.5 Students learn phonemes 7 3 Desi...
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[Auto Generated] 1 Introduction 1 1.1 The BeBe System 1 2 Background 2 2.1 Computational architectures 2 2.2 Continuous speech 4 2.3 Phoneme models 6 2.4 Human speech recognition 6 2.5 Students learn phonemes 7 3 Design 8 4 Implementation 9 5 Results 12 5.1 Comparison of others 14 6 Discussion 15 6.1 BeBe as the first stage 16 6.2 Recognizing vowels 17 6.3 Assessment and future work 18 References 19 The task of speech recognition is to map a digitally encoded signal to a string of words. Over th
Indoor positioning and life detection using radio frequency has been widely researched;however, to achieve both indoor positioning and life detection has been a very challenging task until now. By careful design of th...
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Indoor positioning and life detection using radio frequency has been widely researched;however, to achieve both indoor positioning and life detection has been a very challenging task until now. By careful design of the waveform and a novel detection algorithm, asynchronous multiple frequency shift keying (A-MFSK) is proposed to solve this task for the first time, which can operate between an MFSK mode and a single tone continuous wave mode, providing a possibility of A-MFSK for this task. Detailed explanation about the detection algorithm is given. Simulations and measurements results of both modes demonstrate that A-MFSK has the capability of indoor positioning and life detection.
The elderly are more likely to suffer the aches or pains from the accidental falls, and both the physiology and psychology of patients would subject to a long-term disturbance, especially when the emergency treatment ...
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The elderly are more likely to suffer the aches or pains from the accidental falls, and both the physiology and psychology of patients would subject to a long-term disturbance, especially when the emergency treatment was not given timely and properly. Although many methods and devices have been developed creatively and shown their efficiency in experiments, few of them are suitable for commercial applications routinely. Here, we design a wearable falling detector as a mobile terminal, and utilize the wireless technology to transfer and monitor the activity data of the host in a relatively small community. With the help of the accelerometer sensor and the Google Mapping service, information of the location and the activity data will be send to the remote server for the downstream processing. The experimental result has shown that SA (Sum-vector of all axes) value of 2.5 g is the threshold value to distinguish the falling from other activities. A three-stage detection algorithm was adopted to increase the accuracy of the real alarm, and the accuracy rate of our system was more than 95%. With the further improvement, the falling detecting device which is low-cost, accurate and user-friendly would become more and more common in everyday life.
An algorithm for detecting quasiperiodic textures is proposed, which is based on specific features of two-dimensional spectra obtained by using the discrete Fourier transform. The power spectra of the fragments are an...
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An algorithm for detecting quasiperiodic textures is proposed, which is based on specific features of two-dimensional spectra obtained by using the discrete Fourier transform. The power spectra of the fragments are analyzed independently of each other, which provides the computational effectiveness of the detection algorithm. Examples demonstrating the use of the detection algorithm in the problem of image segmentation into two texture classes (periodic and nonperiodic) are presented. It is shown that the algorithm stably operates with significant deformations in the lattice of periodic textures.
The mathematical model of an output digital signal from a single measuring channel of a scanning digital X-ray imaging system containing a line of detectors is presented for the case where the main type of signal dist...
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The mathematical model of an output digital signal from a single measuring channel of a scanning digital X-ray imaging system containing a line of detectors is presented for the case where the main type of signal distortions is the noise due to the quantum nature of radiation. This model is used to develop a one-dimensional algorithm for the automatic detection of local "critical" inclusions in an inspected object and to obtain the statistical estimates of its efficiency based on a model example.
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