Control reconfiguration

About: Control reconfiguration is a research topic. Over the lifetime, 22423 publications have been published within this topic receiving 334217 citations.

Active Sensor Planning for Multiview Vision Tasks

Abstract: An active robot system can change its visual parameters in an intentional manner and perform its sensing actions purposefully. A general vision task thus can be performed in an efficient way by means of strategic control of the perception process. The controllable processes include 3D active sensing, sensor configuration and recalibration, automatic sensor placement, and 3D sensing. This book explores these important issues in studying for active visual perception. Vision sensors have limited fields of views and can only "see" a portion of a scene from a single viewpoint. To make the entire object visible, the sensor has to be moved from one place to another around the object to observe all features of interest. The sensor planning presented in this book describes an effective strategy to generate a sequence of viewing poses and sensor settings for optimally completing a perception task. Several methods are proposed to solve the problems in both model-based and nonmodel-based vision tasks. For model-based applications, the method involves determination of the optimal sensor placements and a shortest path through these viewpoints for automatic generation of a perception plan. A topology of viewpoints is achieved by a genetic algorithm in which a min-max criterion is used for evaluation. A shortest path is also determined by graph algorithms. For nonmodel-based applications, the method involves determination of the best next view and sensor settings. The trend surface is proposed as the cue to predict the unknown portion of an object or environment. The 11 chapters in Active Vision Planning draw on recent work in robot vision over ten years, particularly in the use of new concepts of active sensing, reconfiguration, recalibration, sensor model, sensing constraints, sensing evaluation, viewpoint decision, sensor placement graph, model based planning, path planning, planning for robot in unknown environment, dynamic 3D construction, surface prediction, etc. Implementation examples are also provided with theoretical methods for testing in a real robot system. With these optimal sensor planning strategies, this book will give the robot vision system the adaptability needed in many practical applications.

Mechanism for Automated Re-Configuration of an Access Network Element

Abstract: A mechanism for controlling resources and/or settings of an access network element like a base station is provided which allows an autonomous reconfiguration of, for example, the antenna configuration based on a set of performance indicators in a base station. The base station can reconfigure itself without the need of operator control so that during periods with low capacity demands the base station will reconfigure correspondingly, which may comprise a reduction of active cells by turning off the power for a part of the installed equipment.

Dynamic load balancing in WDM packet networks with and without wavelength constraints

Abstract: We develop load balancing algorithms for WDM-based packet networks where the average traffic between nodes is dynamically changing. In WDM-based packet networks, routers are connected to each other using wavelengths (lightpaths) to form a logical network topology. The logical topology may be reconfigured by rearranging the lightpaths connecting the routers. Our algorithms reconfigure the logical topology to minimize the maximum link load. In this paper, we develop iterative reconfiguration algorithms for load balancing that track rapid changes in the traffic pattern. At each reconfiguration step, our algorithms make only a small change to the network topology hence minimizing the disruption to the network. We study the performance of our algorithms under several dynamic traffic scenarios and show that our algorithms perform near optimally. We further show that these large reconfiguration gains are achievable in systems with a limited number of wavelengths.

Dynamic Partial Reconfiguration in FPGAs

Abstract: Dynamic parital reconfigurable FPGAs offer new design space with a variety of benefits: reduce the configuration time and save memory as the partial reconfiguration files (bitstreams) are smaller than full ones. This paper introduces a simple reconfigurable system and focuses on the advantages of the newest dynamic partial reconfiguration design flow.

Power estimation and power measurement of Xilinx Virtex FPGAs: trade-offs and limitations

Abstract: The power consumption of reconfigurable systems has become a fundamental aspect in designing applications. Especially for mobile systems with a limited power supply, it is necessary to identify and optimize the power loss. Moreover, it is essential to evaluate during application development time exact power trade-offs, especially including the consideration of the dynamic reconfiguration phases of corresponding devices, e.g. the Virtex-series from Xilinx. This paper discusses the exact power consumption trade-offs between the measured runtime consumption of a mapped application and the measured reconfiguration-time consumption of different dynamically (partially and completely) reconfigured applications. Moreover, the possibilities and limitations of today's available power estimation tools are discussed and compared to the exact measurements.