Surgery in the craniomaxillofacial area is complex. Planning a surgical operation can help the surgeon enhance the quality of the operation. On the other hand, the benefit of a planning phase cannot be realized if the...
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This paper generalizes the load scaling techniques proposed in (Kuo and Mok, 1991) for fixed-priority real-time applications. A framework is proposed to adjust the system workload by relating the criticality and flexi...
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ISBN:
(纸本)081869209X
This paper generalizes the load scaling techniques proposed in (Kuo and Mok, 1991) for fixed-priority real-time applications. A framework is proposed to adjust the system workload by relating the criticality and flexibility of a process to the resource allocation problem. A load adjustment procedure based on the approximation algorithm (Ni et al., 1997) is proposed to maximize the system profit in an on-line fashion. When the list of allowable configurations is implicitly given by scalable periodic processes, the corresponding load filtering problem is shown to be NP-complete. We also prove the upper bound of the system profit and provide a mechanism to balance the schedulability and the maximum profit of the system.
Most recent advances in the areas of networking and Internet/Web related technologies have inspired a new model of computing, namely the network-centric computing model. This paper describes a network-centric open sof...
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Most recent advances in the areas of networking and Internet/Web related technologies have inspired a new model of computing, namely the network-centric computing model. This paper describes a network-centric open software architecture for distributed peer to peer systems development. The goal of this architecture is to provide asynchronous concurrent message-based design that is highly configurable. Some of the applications that are built on top of this software architecture is also discussed here.
A method is presented for the model-based redesign of enterprises. It consists of two main steps, the initialization step and the optimization step. During the initialization step, the processes are modelled and analy...
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A method is presented for the model-based redesign of enterprises. It consists of two main steps, the initialization step and the optimization step. During the initialization step, the processes are modelled and analysed. During the optimization step, the optimal configuration is found for the possible modifications of the processes. Emphasis is placed on the process analysis. The proposed approach is based on activity chains which describe the set of activities needed for the achievement of a given gear, and their execution order necessary to guarantee a low processing time. An algorithm is presented for filtering such activity chains from an enterprise model. It is based on graph theory and corresponds to the solution of an optimization problem, whereby the sum of weights of ail edges belonging to the solution graph should be maximized under some given constraints. Because of the high complexity of the problem, some complexity-reducing measures are presented, measures that arise from the earlier problem analysis.
One of the major goals in designing learning robots is to let these robots develop useful skills over time. These skills are not only related to physical actions of the robot, but also to the coordination of activitie...
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One of the major goals in designing learning robots is to let these robots develop useful skills over time. These skills are not only related to physical actions of the robot, but also to the coordination of activities, communication with humans, and active sensing. Throughout this paper, the interdependency between these different kinds of skills is analyzed. For the case of elementary action skills and coordination skills, methods for inegration of skill application and refinement are developed. It is shown that this integration has the potential to support long-term learning and autonomous experimentation.
One of the many features needed to support the activities of autonomous systems is the ability to plan motion. This enables robots to move in their environment securely and to accomplish given tasks. Unfortunately, th...
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One of the many features needed to support the activities of autonomous systems is the ability to plan motion. This enables robots to move in their environment securely and to accomplish given tasks. Unfortunately, the control loop comprising sensing, planning, and acting has not yet been closed for robots in dynamic environments. One reason involves the long execution times of the motion planning component. A solution for this problem is offered by the use of highly parallel computation. Thus, an important task is the parallelization of existing motion planning algorithms for robots so that they are suitable for highly parallel computation. In several cases, completely new algorithms have to be designed, so that a parallelization is feasible. In this survey, we review recent approaches to motion planning using parallel computation. As a classification scheme, we use the structure given by the different approaches to the robot's motion planning. For each approach, the available parallel processing methods are discussed. Each approach is assigned a unique class. Finally, for each research work referenced, a list of keywords is given.
Robots have been a subject of research for almost half a century. In order to make robots more versatile they must be able to operate in a semi-structured work place where unforeseen events occur and where sensor data...
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Robots have been a subject of research for almost half a century. In order to make robots more versatile they must be able to operate in a semi-structured work place where unforeseen events occur and where sensor data are incomplete. An entire research community has been working on this problem and many unique autonomous and so-called intelligent robots have been conceived and built. Most of these efforts are concerned with robots that operate in the macroworld where they take on chores that could also be handled by humans. However, there is the macroworld in which manipulation and handling tasks are very difficult and for which a human has no tools and where the work area is so small that fine manual manipulation is almost impossible. This paper is concerned with autonomous robots that can operate in a microworld, where microassembly operations, microsurgery or integrated circuit testing and repair is done. For independent operations, these robots need special sensors and an efficient computer architecture that hosts the planner and executor. There are also special drive systems and effecters necessary for micromotions and micromanipulations, respectively. An attempt is made to describe these components and the problems encountered in configuring them to a microrobot. As an example of advanced microrobots, the design and functions of several autonomous microrobots of the University of Karlsruhe are shown;they employ different locomotion and subject handling principles. The paper also includes a discussion of the typical operating problems caused by the microworld and of future research that has to be done to conceive and build efficient microrobots.
This paper discusses the significance of communication between individual agents that are embedded into learning Multi-Agent systems. For several learning tasks occurring within a Multi-Agent System, communication act...
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In this paper we present a method for virtual 3D cutting operations in 3D tomographic data. When cutting interactively the user specifies a serie of 3D cutting points and correponding cut depths on the surface of the ...
Simulations of static and dynamic aspects of the functionality of the human body are getting more important as the complexity of operations increases. The preoperative planning of maxillofacial operations like the rep...
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