Combining position and force control is highly desirable in many robot applications. Many years of extensive research has resulted in a number of promising control approaches, but often too much engineering effort is ...
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Combining position and force control is highly desirable in many robot applications. Many years of extensive research has resulted in a number of promising control approaches, but often too much engineering effort is required in order to evaluate a low level (high performance) control scheme on a real manipulator. The new control system we have obtained has two main advantages: first it provides a total open control architecture, and second it is the simplicity and the interactivity of the platform developed. Using this new control architecture, any force and motion control strategy can be programmed and implemented in a graphical and easy way.
Molybdenum trioxide - tungsten trioxide (MoO3-WO3) binary metal oxide thin films have been prepared by the sol-gel process. The films were deposited using the spin coating technique onto alumina substrates with interd...
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This paper describes a design of an associative memory array processor that can be used in the acquisition and processing of ultrasonograph images. The major concept is to design a parallel architecture that reduces t...
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This paper describes a design of an associative memory array processor that can be used in the acquisition and processing of ultrasonograph images. The major concept is to design a parallel architecture that reduces task's execution time by analyzing multiple parts of the image concurrently. The architecture constitutes a distinctive type of single-instruction stream, multiple-data stream machine that is built around content-addressable associative memory slabs, that allow parallel access of multiple memory words. The basic building block of this architecture is a one-pixel processing element, which can perform the standard load (data acquisition) function and also contains some special comparison logic to enable its content to be compared with an external data. Several image processing operations are implemented in parallel, among them: component labeling, size filtering, pattern centralization, and pattern recognition. The proposed novel architecture can label specific regions into the image and isolate them intelligently. It is also capable of storing templates that may be considered as references for similar cases. The system is able to perform learning process and extract features from several input patterns and store the reference pattern in a slice. Moreover, the system is capable of comparing an input image with a pre-stored template during recognition process. The proposed architecture is of interest because it speeds up the recognition process and helps radiology specialists to write their reports confidently.
The inherent difficulty in supporting human usability in large control systems-such as building environmental and security systems-derives from the large diversity of components and users within each domain. Each syst...
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A new approach for tracking mobiles in a multipath environment is presented. In this paper, we introduce the local scattering model into the tracking algorithm, which utilizes the linear approximation model, to improv...
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A new approach for tracking mobiles in a multipath environment is presented. In this paper, we introduce the local scattering model into the tracking algorithm, which utilizes the linear approximation model, to improve the performance of DOA estimate in a multipath environment. The point of our method is to estimate the DO As and the angular velocities of the mobiles simultaneously by minimizing a cost function, which is consist of the observed data. Moreover, the cost function takes into account of the scattering factor to cope with the multipath signals. The proposed method can estimate the DOA precisely without increasing much computation load. The efficiency of the method is shown through simulation results.
An algorithm derived from the mixture probability algorithm has been constructed by using the autoregressive model(AR) with bias component to analyze the cross-sectional mean void fraction signals. However in the algo...
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An algorithm derived from the mixture probability algorithm has been constructed by using the autoregressive model(AR) with bias component to analyze the cross-sectional mean void fraction signals. However in the algorithm with a maximum likelihood estimates, equations for parameter estimation were very complicated. So in this paper, we modified the mixture probability algorithm and proposed new algorithm based on a stochastic Newton method. The effectiveness of our method is confirmed by applying ones to classify the crosssectional mean void fraction signals of gas-liquid two-phase flow.
This paper presents a computer-aided method for designing repetitive production systems which combines a simulation-based approach with a constraint propagation technique. The presented approach consists in defining s...
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This paper presents a computer-aided method for designing repetitive production systems which combines a simulation-based approach with a constraint propagation technique. The presented approach consists in defining sufficient conditions to filter all solutions and providing both the client and the producer with a set of admissible solutions. The optimized solution is obtained as a result of simulation. Examples illustrating a software tool using this approach are presented.
Robotic soccer is an interesting test bench for the field of self-organizing and cooperating multi-agent systems. This paper deals with learning of two basic low-level behaviors that will enable the robotic player to ...
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Robotic soccer is an interesting test bench for the field of self-organizing and cooperating multi-agent systems. This paper deals with learning of two basic low-level behaviors that will enable the robotic player to participate further in higher-level collaborative and adversarial learning situations. First, a ball interception and obstacle avoidance behavior is learned. Then the acquired skills are incorporated into a next higher-level multi-agent learning scenario, namely the shooting ball behavior. The proposed control scheme for these behaviors consists of a trajectory generator with a layered structure, which supplies data to a trajectory-tracking controller.
We report a tunable red vertical cavity surface emitting laser (VCSEL) with a flexible micro-electro-mechanical (MEM) top distributed Bragg reflector. The peak emission wavelength is electrically tunable over a range ...
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ISBN:
(纸本)0780366980
We report a tunable red vertical cavity surface emitting laser (VCSEL) with a flexible micro-electro-mechanical (MEM) top distributed Bragg reflector. The peak emission wavelength is electrically tunable over a range of 15 nm from 644 to 659 nm.
We propose a framework for quality-of-service (QoS) provisioning for multimedia services in next generation wireless access networks. This framework aims at providing a differentiated treatment to multimedia traffic f...
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We propose a framework for quality-of-service (QoS) provisioning for multimedia services in next generation wireless access networks. This framework aims at providing a differentiated treatment to multimedia traffic flows at the link layer, which can be broadly classified as real-time (or delay-sensitive) and non-real-time (or delay-tolerant). Various novel schemes are proposed to support the differential treatment and guarantee QoS. These schemes include bandwidth compaction, channel reservation and degradation, with the help of which a call admission and control algorithm is developed. The performance of the proposed framework is captured through analytical modeling and simulation experiments. Analytically, the average carried traffic and the worst case buffer requirements for real-time and non-real-time calls are estimated. Simulation results show up to 21% improvement in the admission probability of real-time calls and up to 17% improvement in the admission probability of non-real-time calls, when various call control techniques like bandwidth compaction are employed. Using our channel reservation technique, we observe a 12% improvement in the call admission probability compared to another scheme proposed in the literature.
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