Recently metaheuristic algorithms have attracted the attention of many researchers in various disciplines for their simplicity of application and their efficiency. Visual tracking is one of the most promising fields o...
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Recently metaheuristic algorithms have attracted the attention of many researchers in various disciplines for their simplicity of application and their efficiency. Visual tracking is one of the most promising fields of application of these methods, and although many approaches have been proposed, their main disadvantage is the convergence at local minima which make them unable to find the exact position. To overcome this drawback, we propose to use an algorithm that provides an efficient exploration of the search space, which is stochastic fractal search (sfs) algorithm. sfs is used as a localization method, to find the most similar candidate to a previous defined template. Standard kernel-based spatial color histogram of the object bounding box, is evaluated in order to model the object appearance. Subsequently, Bhattacharyya distance is measured between the two histograms of the model and the candidate to define the fitness function, in which optimization is sought. To assess fairly the robustness of our approach, we have evaluated its performance on 20 video sequences from the OTB-100 sequences dataset and compared it to 11 other state-of-the-art trackers. Quantitative and qualitative evaluations on challenging situations provided satisfying results of sfs-based tracker compared to other state-of-the-art algorithms.
Quran memorizing leads to locating humans in a relaxation state, resulting in a slower reaction time (RT). This changes the event time and amplitude of the waves of event-related potentials (ERP). Nevertheless, studie...
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Quran memorizing leads to locating humans in a relaxation state, resulting in a slower reaction time (RT). This changes the event time and amplitude of the waves of event-related potentials (ERP). Nevertheless, studies on Quran memorizing have only employed the EEG signals to investigate the effects of Quran memorizing on the life quality of autistic patients and people with stroke. In this study, we accordingly analyzed ERP waves, especially P200, N200, and P300 waves, in two groups of Quran memorizers and non-memorizers recorded during the retrieval phases of pattern recognition memory (PRM) test. In fact, we first selected optimal channels according to the energy topography of ERP signals in the retrieval phase. Then, we extracted a set of features from ERP signals using discrete wavelet transform. Finally, we also evaluated the separability of these ERP signals using multilayer perceptron neural network (MLPNN) and support vector machine developed by the optimal combinations of features selected by T-test analysis, the sequential feature selection (sfs), and the genetic algorithm. The outcome of this analysis generally indicated that MLPNN developed by the optimal features obtained from sfs algorithm had higher accuracy to separate two groups of Quran memorizers and non-memorizers (99.3% and 93.2% for training and testing sets, respectively). Therefore, this finding generally represented that the Quran memorizing as a factor involved in the visual memory can be used as a protocol to change the attention and concentration in humans.
One of the most common neurological diseases in the elderly is Parkinson's disease. It is very common in the elderly after Alzheimer's disease, affecting about 1% of the elderly worldwide. According to interna...
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Nowadays, Web Services has become one of the hot issues in the area of computer sciences, that makes an ability to collect capabilities and components in a unique interface to fulfill the user's requirements. Some...
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Nowadays, Web Services has become one of the hot issues in the area of computer sciences, that makes an ability to collect capabilities and components in a unique interface to fulfill the user's requirements. Sometimes, two or more services can be found in available list of services;therefore, there should be a possibility for selecting the best services from discovered list which can satisfy the user's needs. The selected services should optimize the overall QoS of the composed application, while satisfying all the constraints specified by the consumer on individual QoS parameters. In this paper, we propose a contrast analysis between two Skyline algorithms and evaluate them experimentally. (C) 2018 The Authors. Published by Elsevier B.V.
This article presents automatic generation control of an interconnected combined cycle gas turbine (CCGT) incorporated unequal area thermal system under restructured environment. Investigations have been carried out w...
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This article presents automatic generation control of an interconnected combined cycle gas turbine (CCGT) incorporated unequal area thermal system under restructured environment. Investigations have been carried out with two generating companies and two distribution companies in each area. Area 1 includes CCGT-thermal system and area 2 includes thermal-thermal system. Both areas are employed with appropriate generation rate constraint (GRC) and governor dead band in thermal systems. Integral minus proportional derivative with first-order filter effect (I-PDF) controller is used as secondary controller whose promising performance is compared with proportional, proportional integral and proportional integral derivative controller. The controller gains and other parameters are optimised using stochastic fractal search (sfs) algorithm. Sensitivity analysis is performed with change in system loading, system parameters such as inertia constant, governor and turbine time constant and random load disturbances to evaluate the robustness of proposed sfs optimised I-PDF controller. The simulation results with different set of contractual agreement postulated by DISCO participation matrix and its violation illustrates the effectiveness of sfs optimised I-PDF controller. Additionally, the system under restructured regime is investigated with combinatorial increment in GRC and delayed controller action for appropriate use and maintenance of the proposed controller.
Nowadays, Web Services has become one of the hot issues in the area of computer sciences, that makes an ability to collect capabilities and components in a unique interface to fulfill the user’s requirements. Sometim...
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Nowadays, Web Services has become one of the hot issues in the area of computer sciences, that makes an ability to collect capabilities and components in a unique interface to fulfill the user’s requirements. Sometimes, two or more services can be found in available list of services; therefore, there should be a possibility for selecting the best services from discovered list which can satisfy the user’s needs. The selected services should optimize the overall QoS of the composed application, while satisfying all the constraints specified by the consumer on individual QoS parameters. In this paper, we propose a contrast analysis between two Skyline algorithms and evaluate them experimentally.
Printing quality is fundamentally influenced by the micro dot morphology. It is necessary to use an algorithm with the high accuracy to restore 3D printing dot. In this research, the accuracy of sfs (shape from shadin...
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Printing quality is fundamentally influenced by the micro dot morphology. It is necessary to use an algorithm with the high accuracy to restore 3D printing dot. In this research, the accuracy of sfs (shape from shading) morphology restoring algorithm was analyzed indirectly by the micro tiny steel sphere that has a regular morphology to make sure that it could be applied to the printing dot. The result shows that the algorithm restored the 3D shape of the sphere intuitively and accurately, especially in the middle of the sphere. What's more, the restoration errors for the top and the bottom of the sphere were acceptable. Consequently, the sfs algorithm is an efficient tool to restore 3D micro objects which can be used for accurately describing the micro morphology of printing dots to control the printing quality.
Image formation involves understanding the sensors characteristics and object reflectance. In dentistry, for example an accurate three-dimensional (3D) representation of the human jaw may be used for diagnostic and tr...
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Image formation involves understanding the sensors characteristics and object reflectance. In dentistry, for example an accurate three-dimensional (3D) representation of the human jaw may be used for diagnostic and treatment purposes. Photogrammetry can offer a flexible, cost-effective solution in that regard. Nonetheless there are several challenges, such as non-friendly image acquisition environment inside the human mouth, problems with lighting (specularity effects because of saliva, gum discolourisation, and occlusion because of the tongue in the lower jaw), and errors because of the data acquisition sensors (e.g. camera calibration errors, lens distortion and so on). In this study, the authors focus on the 3D surface reconstruction aspect for human jaw modelling based on physical surface characteristics and sensor properties. Owing to apparent lens distortion imposed by near-field imaging, the authors propose a new flexible calibration for lens radial distortion based on a single image of a sphere. The authors propose a non-Lambertian shape-from-shading (sfs) algorithm under perspective projection which benefits from camera calibration parameters. Our experiments provide quantitative metric results for the proposed approach. The reflectance of the tooth surface is modelled by the Oren–Nayar reflectance model for rough surfaces whose roughness parameter is physically computed from an optical surface profiler measurements. As compared to state-of-the-art sfs approaches, our approach is able to recover geometric details of tooth occlusal surface. This work is fundamental for establishing an optical-based approach for reconstructing the human jaw, that is inexpensive and does not use ionising radiation.
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