Peaking filters enhance the sharpness impression in video images, but are often complex and have some image-quality drawbacks. We compare two spatial peaking filters and investigate the one that combines a simple stru...
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Peaking filters enhance the sharpness impression in video images, but are often complex and have some image-quality drawbacks. We compare two spatial peaking filters and investigate the one that combines a simple structure with good image quality. This simple structure makes our proposal a good candidate for software implementation on a programmable architecture. We evaluated the performance on a 32-bit(1) and a new 64-bit multimedia processor.
In software system, there are some functions of great importance in controlling the whole process of software execution. When they are damaged, the software will suffer from catastrophic consequences caused by cascadi...
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In software system, there are some functions of great importance in controlling the whole process of software execution. When they are damaged, the software will suffer from catastrophic consequences caused by cascading failures. To accurately identify and protect these influential functions has become a necessary method in software security. Thus, in this study a new approach to efficiently mine influential functions based on software execution sequence is proposed. First, the authors design a novel modelling strategy by which software execution traces are modelled as sequential patterns. Owing to loops, patterns can occur multiple times in a trace, which leads to high cost of time and extreme complexity of the research. Then, an algorithm is designed to remove repetitive patterns in software and software influential nodes mining algorithm is put forward to mine influential functions in software and to rank them by the rank-index. Finally, by comparatively analysing the topten functions got from PageRank and those from Degree-Based algorithm, the approach is proved to be an effective and accurate one which combines advantages of the two classic algorithms.
Scale invariants of Tchebichef moments are usually achieved by a linear combination of corresponding invariants of geometric moments or via an iterative algorithm to eliminate the scale factor. According to the proper...
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Scale invariants of Tchebichef moments are usually achieved by a linear combination of corresponding invariants of geometric moments or via an iterative algorithm to eliminate the scale factor. According to the properties of Tchebichef polynomials, we propose a new approach to construct scale invariants of Tchebichef moments. An algorithm based on matrix multiplication is also provided to efficiently compute the 3D moments and invariants. Several experiments are carried out to validate the effectiveness of our descriptors and algorithm.
This article presents a local LR error repair method that repairs syntax errors quickly by adoption of the A* algorithm that helps remove unproductive configurations. The new method also enhances the repair quality by...
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This article presents a local LR error repair method that repairs syntax errors quickly by adoption of the A* algorithm that helps remove unproductive configurations. The new method also enhances the repair quality by adoption of a flexible edit strategy to support shifting symbols unrestrictedly, as well as inserting and deleting symbols, in order to repair invalid input strings. Experimental results show that the new method excels existing works in repair quality and efficiency.
The robustness of the popular PI and PID controllers is studied in this paper. The controller is first optimally tuned for nominal process conditions. Then, errors representing uncertainty in the process parameters ar...
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The robustness of the popular PI and PID controllers is studied in this paper. The controller is first optimally tuned for nominal process conditions. Then, errors representing uncertainty in the process parameters are introduced in the process model and their effects on the closed-loop performance are evaluated. The results quantitatively confirm that these simple control algorithms are robust.
A robust iterative learning control algorithm is proposed for a class of intermittent systems with disturbances and uncertain initial conditions. Based on the contraction mapping approach, the convergence condition fo...
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A robust iterative learning control algorithm is proposed for a class of intermittent systems with disturbances and uncertain initial conditions. Based on the contraction mapping approach, the convergence condition for the proposed algorithm is first given, and then the bounds on control input and output trajectories can be obtained. It is shown that these bounds depend on bounds on the initial condition errors and disturbances, and the bounds are zero in the absence of these disturbances. A numerical example is also given to verify the theoretical result.
Results of mobile ground-based atmospheric measurements conducted during the Barnett Shale Coordinated Campaign in spring and fall of 2013 are presented. Methane and ethane are continuously measured downwind of facili...
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Results of mobile ground-based atmospheric measurements conducted during the Barnett Shale Coordinated Campaign in spring and fall of 2013 are presented. Methane and ethane are continuously measured downwind of facilities such as natural gas processing plants, compressor stations, and production well pads. Gaussian dispersion simulations of these methane plumes, using an iterative forward plume dispersion algorithm, are used to estimate both the source location and the emission magnitude. The distribution of emitters is peaked in the 0-5 kg/h range, with a significant tail. The ethane/methane molar enhancement ratio for this same distribution is investigated, showing a peak at similar to 1.5% and a broad distribution between similar to 4% and similar to 17%. The regional distributions of source emissions and ethane/methane enhancement ratios are examined: the largest methane emissions appear between Fort Worth and Dallas, while the highest ethane/methane enhancement ratios occur for plumes observed in the northwestern potion of the region. Individual facilities, focusing on large emitters, are further analyzed by constraining the source location.
Conventional adaptive filtering algorithms, typically limited to the control of single or multiple sinusoids, are not appropriate to control modulated vibrations, especially in the presence of rich side band structure...
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Conventional adaptive filtering algorithms, typically limited to the control of single or multiple sinusoids, are not appropriate to control modulated vibrations, especially in the presence of rich side band structures. To overcome this deficiency, a new control algorithm is proposed that introduces a feedback loop with the model predictive sliding mode control (MPSMC) in the adaptive filtering system. Several amplitude and frequency modulation cases are first computationally studied, and conventional and proposed methods are comparatively evaluated in terms of estimation error, performance in time and frequency domains, stability, and uncertainty in the reference signal. To experimentally validate the proposed algorithm, an active strut (with longitudinal vibrations) is constructed. Overall, the proposed adaptive algorithm yields superior reductions at the main frequencies and at side bands;also, good attenuation is found on a broadband basis. (C) 2012 Elsevier Ltd. All rights reserved.
A relatively fast pursuit algorithm in face recognition is proposed, compared to existing pursuit algorithms. More stopping rules have been put forward to solve the problem of slow response of OMP, which can fully dev...
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A relatively fast pursuit algorithm in face recognition is proposed, compared to existing pursuit algorithms. More stopping rules have been put forward to solve the problem of slow response of OMP, which can fully develop the superiority of pursuit algorithm - avoiding to process useless information in the training dictionary. For the test samples that are affected by partial occlusion, corruption, and facial disguise, recognition rates of most algorithms fall rapidly. The robust version of this algorithm can identify these samples automatically and process them accordingly. The recognition rates on ORL database, Yale database, and FERET database are 95.5%, 93.87%, and 92.29%, respectively. The recognition performance under various levels of occlusion and corruption is also experimentally proved to be significantly enhanced.
The process of rapid urbanization is attended by various adverse effects on the society, the ecology, and the economy. Effective urban and regional planning is the key to minimizing these effects and the impact on the...
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The process of rapid urbanization is attended by various adverse effects on the society, the ecology, and the economy. Effective urban and regional planning is the key to minimizing these effects and the impact on the people who live in cities. For this reason, detailed geospatial information on urban dynamics is needed, which can help to analyze and understand the process of urbanization. Different studies have shown that high-resolution radar imagery is an excellent basis for classifying, monitoring, and analyzing the outline and spatio-temporal development of urban agglomerations. Specifically, the analysis of texture information based on local speckle characteristics has shown its ability to generate large area urban maps. In this study a pixel-based, fully automatic classification approach developed for TerraSAR-X StripMap data was transferred and applied to five RADARSAT-2 images acquired in ultra-fine mode. The algorithm was applied to data from the cities of Mannheim and Ludwigshafen and their rural surroundings in Germany. The classification approach was validated for its multisensoral transferability and robustness. A relative comparison to a TerraSAR-X classification and an absolute comparison to a reference dataset show promising results and allow for the conclusion that the methodology can be fully applied to RADARSAT-2 data.
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