This paper studied the path following case of a PZT-driven electromagnetic miniature robot which is used as a locomotion platform in a “Desktop Micro Robots Factory”. Considering the nonlinearity of the locomotive c...
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ISBN:
(纸本)9781424476534
This paper studied the path following case of a PZT-driven electromagnetic miniature robot which is used as a locomotion platform in a “Desktop Micro Robots Factory”. Considering the nonlinearity of the locomotive characteristics according to the difference equation describing the position and orientation changes of the robot, a fuzzy logic controller was designed to calculate the driven voltage amplitude applied to the two piezoelectric elements to fulfill the task. To overcome the overshoot when the robot joined the path from a far starting position, an improved method, which introduced a simple coarse initial pose error adjustment before the fuzzy controller took action, was proposed, resulting in a tracking error reduction preferably.
This paper proposed an improved particle swarm optimization (PSO) algorithm called redistributing PSO (RPSO) for designing IIR digital filters. The proposed RPSO avoids the stagnation problem by automatically triggeri...
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This paper proposed an improved particle swarm optimization (PSO) algorithm called redistributing PSO (RPSO) for designing IIR digital filters. The proposed RPSO avoids the stagnation problem by automatically triggering particles redistributing when premature convergence is detected. Every particle is redistributed either within the whole problem space or around the mean between the global best and its current position. This mechanism helps particles escape from local convergence regions and continue progress toward true global optimum. The simulation results of low-pass and band-pass filters show that RPSO is better than PSO, quantum particle swarm optimization (QPSO), chaos particle swarm optimization (CPSO), and differential cultural (DC) algorithm with better mean performance and more stability and is an efficient method for IIR digital filter design.
The IEEE 802.16 standard is proposed to provide a wide-range broadband wireless service, but it leaves the implementation of the wireless resource scheduler as an open issue. We study the scheduling algorithm and prop...
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The IEEE 802.16 standard is proposed to provide a wide-range broadband wireless service, but it leaves the implementation of the wireless resource scheduler as an open issue. We study the scheduling algorithm and propose a fairoriented two-level scheduling scheme for downlink traffic in a WiMAX network. A central controller (Base Station) has a number of users, and different mobile subscriber stations have different channel conditions. Even the same mobile subscriber station has different service requirements in the WiMAX network. Our design improves throughput and alleviates the delay and also ensures fairness in the network. Our results show our scheduling algorithm can increase the network throughput, maintain the relative fairness, and lower delay compared with the round robin algorithm.
In this paper, an effective technique for leak diagnosis and localization which couples the local entropy difference method (LEDM) to the fast marching method (FMM) is proposed. A computer-based system is described to...
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In this paper, an effective technique for leak diagnosis and localization which couples the local entropy difference method (LEDM) to the fast marching method (FMM) is proposed. A computer-based system is described to combine a specific pneumatic circuit with an on-line infrared camera which is used to test the air-tightness of a test vessel. The test object is charged with cryogenic compressed air and its temperature field is acquired by infrared thermography in this system. Then, both the leakage point and its edge can be identified by means of the designed LED-FM method. An experiment is conducted that confirms that the leak diagnosis and localization method presented in this paper is effective in diagnosing leakage points and in extracting accurate leakage edges, in spite of the presence of surface defects.
Based on MILES algorithm, we propose a novel multiple instance learning approach which regards visual word dictionary as feature space, and combines segmentation for object detection and extraction in the process of i...
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Based on MILES algorithm, we propose a novel multiple instance learning approach which regards visual word dictionary as feature space, and combines segmentation for object detection and extraction in the process of instance classification. This approach uses "Bag of Words" model. The whole image is considered as a multiple instance bag. The visual words that represent the image are regarded as the instances in the bag. The approach maps each bag into a feature space defined by visual vocabulary via the histogram over visual words. Next, 1-norm SVM is applied to select important features as well as classify images simultaneously. Then we will classify instances coming from the bags classified as positive, and take the positive instances for object "seed" points. After that segmentation is combined to realize object extraction. Experiments on Caltech101 dataset show that this approach achieves high efficiency.
It is well-known that the DoubleMinOver classifier as an extendibility of MinOver was developed to provide a maximum margin solution with a bias. But, it can be found that the DoubleMinOver algorithm only classifies t...
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It is well-known that the DoubleMinOver classifier as an extendibility of MinOver was developed to provide a maximum margin solution with a bias. But, it can be found that the DoubleMinOver algorithm only classifies the vector pattern and fails to work in the pattern represented with the second-order tensor. In this paper, we propose a novel DoubleMinOver classifier named STDoubleMinOver that can directly classify the second-order tensor pattern. Compared with the existing DoubleMinOver with only one weight w, the proposed STDoubleMinOver induces two weight vectors u and v so as to deal with the second-order tensor. The experiments here have demonstrated that the proposed STDoubleMinOver has a superior classification to the vectorized DoubleMinOver.
In recent years, the Bag-of-visual Words image representation has led to many significant results in visual object recognition and categorization. However, experiments show that the unsupervised clustering of primitiv...
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In recent years, the Bag-of-visual Words image representation has led to many significant results in visual object recognition and categorization. However, experiments show that the unsupervised clustering of primitive visual features tends to result in the limited discriminative ability of the visual codebook, since it does not take the spatial relationship between visual primitives into consideration. This paper aims at generating descriptive higher-order semantic features, which are extracted from visual word sets clustered by spatial-range mean shift and are a better representation for images. This method first uses mean shift algorithm to cluster visual words for an image from the spatial and color space, then uses FP-growth algorithm to mine the meaningful spatially concurrent groups of visual words in all images and regards the high frequency visual word combinations which can represent parts of objects as semantic features. The experiments on Caltech 101 dataset demonstrate that the proposed higher-order semantic features can achieve good results.
A new measuring method based on the common-path heterodyne interferometry is used to determine the twist angle, pre-tilt angle, and cell gap of an optically compensation bend (OCB) liquid crystal (LC) cell. In this pa...
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ISBN:
(纸本)9781424428328
A new measuring method based on the common-path heterodyne interferometry is used to determine the twist angle, pre-tilt angle, and cell gap of an optically compensation bend (OCB) liquid crystal (LC) cell. In this paper, the twist angle of an OCB LC cell can be determined by measurement the phase difference instead of the reflectance difference. Because the measuring system is based on the common-path heterodyne interferometry, it can provide the most sensitive way to measure the twist angle of an OCB LC cell against the air turbulence and environmental vibrations. The method has some merits, e.g., a simple setup, in real-time test and reliability, etc.
Because of nonlinearities, uncertainties and inherent performance limitations of the mechatronic system, there is a trade-off between tracking error minimization and robust stabilization. This implies that the trackin...
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ISBN:
(纸本)9781424466689;9781424466696
Because of nonlinearities, uncertainties and inherent performance limitations of the mechatronic system, there is a trade-off between tracking error minimization and robust stabilization. This implies that the tracking error is unavoidable in practice. Fortunately, in the path following motion control system, it is the geometric error that measures the quality of the product. Since the tracking error gives an upper bound on the geometric error, by the principle of uncertainty, more preference can be given to the geometric error dynamics to improve the quality of the product. For generic parametric tool path, although the geometric error is hard to be computed numerically, it can be estimated by a projection operator on the tracking error vector. Then the tasks of contouring error compensation are twofold: to internally stabilize the feedback system, and to minimize the estimated contouring error. A novel multiple-loop structure is proposed in this paper. By using this structure, the internal stability of the feedback system is guaranteed, if the norm of the compensator is less than a function value on the infinity norm of the tracking error dynamics. Experiments were done on milling machines to verify the feasibility of the proposed structure. Low order compensators were designed and compared with each other. In the experiments, the estimated contouring error was reduced by more than 20%, while the tracking error did not change too much.
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