In this paper we present a method to generate high-quality hard shadows in real-time based on geometry shadow map. The method focuses on addressing the aliasing artifacts due to the large number of overlapping primiti...
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ISBN:
(纸本)9789811015366;9789811015359
In this paper we present a method to generate high-quality hard shadows in real-time based on geometry shadow map. The method focuses on addressing the aliasing artifacts due to the large number of overlapping primitives which cannot be stored sufficiently and yields error of depth reconstruction. We call it Covered Primitives Parallel detection algorithm (CPPD). In CPPD, a parallel detection algorithm according to the texel edges is proposed without increasing storage of different triangles. Experiments show that CPPD algorithm can improve the accuracy of depth reconstruction and reduce the jagged shadows effectively.
In order to improve the accuracy of coal gangue detection, this paper proposes to use yolov4 algorithm to detect coal gangue. Through the training and detection experiments of coal gangue data set, it is found that th...
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ISBN:
(数字)9781510651319
ISBN:
(纸本)9781510651319;9781510651302
In order to improve the accuracy of coal gangue detection, this paper proposes to use yolov4 algorithm to detect coal gangue. Through the training and detection experiments of coal gangue data set, it is found that the optimized yolov4 detection algorithm can accurately detect small coal gangue, high-carbon coal gangue, partially masked coal gangue and masked high-carbon coal gangue in different backgrounds, and has considerable real-time, which verifies the feasibility of yolov4 detection of coal gangue.
We propose an optimized source detection algorithm with an X-ray wide-field imaging detector based on lobster-eye (LE) optics to realize better sensitivity. In our method, we take two parts of region of interest (ROI)...
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ISBN:
(纸本)9781510636767
We propose an optimized source detection algorithm with an X-ray wide-field imaging detector based on lobster-eye (LE) optics to realize better sensitivity. In our method, we take two parts of region of interest (ROI) in which we test the number of X-ray events exceed a certain threshold level. Since we compose the condition that the excesses of the photons are required for the both parts of the ROI, we can lower the detection threshold level with a less false alert rate. We take two comparative methods in which the ROI consists of one part, and compared the performance of them. We formulated an appropriate threshold level and sensitivity for two comparable detection methods as well as our proposed method. We found that the detection sensitivity of our method is improved by a factor of about 30% at most than that of the comparable methods in the nominal case of the proposed HiZ-GUNDAM mission. We also found that which detection method has better sensitivity depends on the background event rate. We checked that the formulation works well by comparing to a Monte Carlo simulation in the case of the HiZ-GUNDAM condition. The formula can be applied to any future missions with LE optics to design which detection algorithm is suitable for optimizing sensitivity.
In wireless sensor network (WSN) the accuracy of data is important to maintain the networks' performance. Therefore detecting nodes which either provide faulty readings or do not provide any information is an esse...
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ISBN:
(纸本)9783642226052
In wireless sensor network (WSN) the accuracy of data is important to maintain the networks' performance. Therefore detecting nodes which either provide faulty readings or do not provide any information is an essential issue in sensor network management. As a whole the solution is to detect nodes with data and function faults, this paper proposes a novel method to detect nodes with both types of faults without assuming a particular sensing model. The performance of proposed fault model is more accurate and requires less communication compared to the existing methods.
The paper deals with an algorithm for detection of a broadband signal received from a multiple-unit source against the background with architecturally-like clutters that differ by location and additive space-uncorrela...
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ISBN:
(纸本)9781509040698
The paper deals with an algorithm for detection of a broadband signal received from a multiple-unit source against the background with architecturally-like clutters that differ by location and additive space-uncorrelated noise. It is shown that the optimal detection algorithm represents the weight processing in the "ray space" of the transformed vector of observed data and does not demand access of any large matrix. A maximum likelihood ratio is chosen as the optimality criterion. After determining the inverse of the correlation function, expression for the optimal weight function is obtained. The design ratios for determination of detection characteristics under the Gaussian statistics of signals and clutters are given. The results confirm the property of the suggested algorithm: at low signal/noise ratios, efficiency of point targets detection is better, and at the large ratios the distributed targets are better detected.
detection algorithm for pedestrians is proposed for the real surveillance system based on color similarity for dynamic color images under low illumination, where the proposed color similarity is defined by color chang...
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detection algorithm for pedestrians is proposed for the real surveillance system based on color similarity for dynamic color images under low illumination, where the proposed color similarity is defined by color change vectors in the L*a*b* color metric space and the time taken by pedestrians to pass between surveillance camera. It provides continuous detection results through surveillance cameras under lower luminance conditions in real surveillance system. Experimental results for dynamic image taken under low illumination in streets show that detected frames with the proposed algorithm increased by 20% compared to detection results without geographic information. The proposed algorithm is being considered for use in poor security areas in downtown Japan.
Today, 77 GHz FMCW (Frequency Modulation Continuous Wave) radar has strong advantages of range and velocity detection for automotive applications. However, FMCW radar brings out ghost targets and missed targets in mul...
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ISBN:
(纸本)9780819490391
Today, 77 GHz FMCW (Frequency Modulation Continuous Wave) radar has strong advantages of range and velocity detection for automotive applications. However, FMCW radar brings out ghost targets and missed targets in multi-target situations. In this paper, in order to resolve these limitations, we propose an effective pairing algorithm, which consists of two steps. In the proposed method, a waveform with different slopes in two periods is used. In the 1st pairing processing, all combinations of range and velocity are obtained in each of two wave periods. In the 2nd pairing step, using the results of the 1st pairing processing, fine range and velocity are detected. In that case, we propose the range-velocity windowing technique in order to compensate for the non-ideal beat-frequency characteristic that arises due to the non-linearity of the RF module. Based on experimental results, the performance of the proposed algorithm is improved compared with that of the typical method.
In wireless sensor networks (WSNs), coverage holes may appear because of sensors' random deployment, sensor destruction or consumption of sensor power. Discovery of boundaries of coverage holes is important for re...
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ISBN:
(纸本)9781509063529
In wireless sensor networks (WSNs), coverage holes may appear because of sensors' random deployment, sensor destruction or consumption of sensor power. Discovery of boundaries of coverage holes is important for repairing these holes and optimizing the whole network. In this paper, we use Rips complex as system model based on homology knowledge. We adopt a detection algorithm to find non-triangular holes only dependent on the connectivity information between sensors. Rely on the definition promoted, we can find all boundary edges and then initiate the process of finding coverage holes. We prove that our algorithm can reduce computation complexity of coverage holes detection by comparing with another homology-based method. And simulation results show that our algorithm can discover almost all non-triangular holes with the accuracy reaching up to 99.99%
Wireless communication technologies have known a huge evolution and they have greatly affected our daily lives. This enhancement has not only influenced the development of mobile communication, but also the developmen...
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ISBN:
(纸本)9781450376341
Wireless communication technologies have known a huge evolution and they have greatly affected our daily lives. This enhancement has not only influenced the development of mobile communication, but also the development of vehicular communication. VANET is one of the new technologies that mark the development of transport. This new development faces enormous challenges, particularly in terms of network security. In order to solve this problem, some research has been carried out, particularly in terms of detection. In our paper, we will describe the architecture of VANET, and then present the different security problems that the technology faces. Finally, we will study different intrusion detection algorithms to improve the security of VANET networks.
The working status of huge rotating mechanical equipment can be judged with the method of detection and processing its acoustics. It is analyzed that the variation of the sound reflected the variation of the material ...
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ISBN:
(纸本)9781467398596
The working status of huge rotating mechanical equipment can be judged with the method of detection and processing its acoustics. It is analyzed that the variation of the sound reflected the variation of the material percentage in the equipment. The sound caused by different material percentage is collected and analyzed in time and frequency domain in this paper. A practical material percentage detection algorithm is proposed. The frequency spectrum of quantitative analysis for the material percentage is determined. The procedure of algorithm design includes calibration and quantitative detection. The field detection results show its effectiveness.
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