A multitarget tracking framework implemented on the Bi-i platform is presented. The demonstration applications include a target tracking system with laser actuation, an attention-selection algorithm and a laser dot de...
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A multitarget tracking framework implemented on the Bi-i platform is presented. The demonstration applications include a target tracking system with laser actuation, an attention-selection algorithm and a laser dot detection system with gaming applications [4]
The problem of rules setting in coordination of automated vehicles access to shared system resources (sections of their transportation paths) which assure a deadlock free and starvation free flow of the executed proce...
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The problem of rules setting in coordination of automated vehicles access to shared system resources (sections of their transportation paths) which assure a deadlock free and starvation free flow of the executed processes belongs to NP-hard problems. Assuming that there are local (controlling access to shared resources) rules of priority dispatching, the problem deals with setting conditions sufficient for a pair (initial state, set of priority dispatching rules). The assumed knowledge base way of specifying a transportation subsystem leads to solving a logic-algebraic method decision problem. In this regard, the working knowledge representation synthesis method constitutes a significant contribution to the development of programming methods aimed at distributed control procedures design.
A new hybrid wavelet-Kalman filter method for the estimation of dynamic system is developed, Using this method, the real-time multiscale estimation of the dynamic system is implemented, and the observation equation es...
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A new hybrid wavelet-Kalman filter method for the estimation of dynamic system is developed, Using this method, the real-time multiscale estimation of the dynamic system is implemented, and the observation equation established is for the object signal itself rather than its wavelet decomposition. The simulation results show that this method can be used to estimate the object's state of the stacked system, which is the foundation of multiscale data fusion; besides the performance of the new algorithm developed in the letter is almost optimal.
On-orbit rescuing uncontrolled spinning satellite (USS) using space robot is a great challenge for future space service. The paper mainly presents a trajectory planning method of space manipulator that can track, appr...
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On-orbit rescuing uncontrolled spinning satellite (USS) using space robot is a great challenge for future space service. The paper mainly presents a trajectory planning method of space manipulator that can track, approach and catch the USS in free-floating situation. According to the motion characteristics of USS, we plan a spiral ascending trajectory for space manipulator to approach towards USS in Cartesian space. However, it is difficult to map this trajectory into the joint space and realize feasible motion in joint space because of kinematic multi-solutions and dynamic singularities of space robot system. Therefore, we utilize an interval algorithm to handle these difficulties. The simulation study verifies that the spiral ascending trajectory can been realized. Moreover, the motion of manipulator is smooth and stable, the disturbance to the base is so limited that the attitude control can compensate it
Since the emergence of peer-to-peer (P2P) networking in the last 90s, P2P traffic, being a significant portion of the network traffic today, has constituted a highly desirable class for identification. How to improve ...
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Since the emergence of peer-to-peer (P2P) networking in the last 90s, P2P traffic, being a significant portion of the network traffic today, has constituted a highly desirable class for identification. How to improve the accuracy of the P2P traffic identification efficiently is still a challenging problem. The support vector machine (SVM) is a powerful learning mechanism and has shown remarkable success in many applications. In this paper, we propose a new approach for P2P traffic identification, which uses the support vector machine and a new technology called smooth processing. The experiments of identifying P2P traffic show that the generalization performance and the accuracy of identification are improved significantly compared to that of the traditional methods
Many real-world dynamical networks display the feature of complex structure, and the complexity feature of networks has attracted increasing attention from various fields of science and engineering. In this paper, we ...
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Many real-world dynamical networks display the feature of complex structure, and the complexity feature of networks has attracted increasing attention from various fields of science and engineering. In this paper, we introduce a general dynamical network with different coupling strength and study the complexity of this network model with time delays. Based on the theories of linear matrix inequalities (LMI), the asymptotical stabilities of the network chaos synchronization for delay-dependent are investigated. We finally use a dynamical chaos network with time delay and specific coupling scheme as an example to illustrate the theoretical results
The strange behavior of Direct Torque Controlled (DTC) Induction Machine (IM) due to nonlinearity is studied. The nonlinearity is the result of hysteresis comparators. Recurrence Plots (RP) beside the bifurcation diag...
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The strange behavior of Direct Torque Controlled (DTC) Induction Machine (IM) due to nonlinearity is studied. The nonlinearity is the result of hysteresis comparators. Recurrence Plots (RP) beside the bifurcation diagram are applied to reveal the possible states of the system such as periodic, subharmonic and chaotic states. RP makes it possible to identify various system states without the knowledge of all state variables in a multi-dimensional system, it is enough to acquire only time series of an observable state.
Micro-milling is a flexible and economical alternative for manufacturing precision miniature components with three-dimensional geometries across a wide range of materials. Meanwhile, in recent years, miniaturized mach...
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Micro-milling is a flexible and economical alternative for manufacturing precision miniature components with three-dimensional geometries across a wide range of materials. Meanwhile, in recent years, miniaturized machine tool system has attracted much research. As a result, we built a miniature 3-axis numerical control milling machine tool system with a high speed air turbine spindle and conducted a series of experiments. In this paper, a 2D model of surface generation is proposed based on the minimum cutting thickness. Through simulating the surface topography and computing the arithmetic surface roughness, Ra, the relationship among the surface roughness, the feed per tooth, as well as the cutter geometry is obtained. This model is validated by means of experiments. In order to characterize the surface quality produced by the micro-milling based on the miniaturized machine tool and investigate the factors affecting surface roughness, a surface roughness prediction model, which includes the effects of cutting speed, feed, depth of cut, and the interaction between the two, is established using the experimental design and regression analysis method. Using the model, the influence of the cutting parameters on surface roughness is analyzed and the optimum cutting parameter sets are found.
This paper presents a cognitive vision based approach to recognize polygons on a natural image. The approach is based on the visual feature array (VFA), which is a cognitive computational model of the mammalian primar...
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This paper presents a cognitive vision based approach to recognize polygons on a natural image. The approach is based on the visual feature array (VFA), which is a cognitive computational model of the mammalian primary visual processing. VFA, as a multidimensional orthogonal data structure, contains data about the line segment and vertex features in the edge detected input image. Based on the features available in VFA, using the universal feature extractor classifier (UFEX), the problem of polygon categorization and recognition is addressed. The results are compared to solutions by conventional neural networks, such as the learning vector quantization network
The impedance or admittance characteristics of piezoceramics must be recognized by a spectrum analyzer to gain the electromechanical match at resonant frequencies before piezoceramic actuating applications. A virtual ...
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The impedance or admittance characteristics of piezoceramics must be recognized by a spectrum analyzer to gain the electromechanical match at resonant frequencies before piezoceramic actuating applications. A virtual analyzer has been developed using an integration technique with a data acquisition card and software Lab VIEW tools. According to the five different mathematical models of equivalent circuits, the most suitable model has been identified to demonstrate the electromechanical feature of piezoceramics. The voltage is inputted onto the piezoceramics and the current sampling simultaneously. Thus, instantaneous admittance levels relative to frequencies are furnished in the functional panel of the virtual analyzer. The measured results from the virtual analyzer and the actual data through a HP-4194A analyzer are compared to validate the performance of the virtual instrument.
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