New local perturbation bounds for the continuous-time H∞-control problem are obtained, which are nonlinear functions of the data perturbations and are tighter than the existing condition number-based local bounds. Th...
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Next-generation wireless networks integrate multiple wireless access technologies to provide seamless wireless connectivity for mobile nodes (MNs). When MNs move in wireless heterogeneous networks, they may suffer fro...
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ISBN:
(纸本)9781479973958
Next-generation wireless networks integrate multiple wireless access technologies to provide seamless wireless connectivity for mobile nodes (MNs). When MNs move in wireless heterogeneous networks, they may suffer from the great degradation of received signal strength (RSS) and further quality of services (QoS), if randomly selecting an access point (AP). We address vertical handoff with game theory to enable MNs to trigger the handoff and select an appropriate network from multiple wireless access technologies. On the other hand, the existing vertical handoff schemes lack of jointly considering the behaviors of MNs and APs for approaching the reality. To solve this problem, we propose a repeated game based scheme for vertical handoff. Each sub-game is formulated as a non-cooperative strategic game between a MN and an AP in which the Nash equilibrium is the solution of each strategic game. The proposed repeated game is to optimize the utility functions of the whole network by finding an equilibrium point. We perform the performance analysis, which shows that proposed scheme can achieve better bandwidth utilization and throughput of the network compared to the AP random selection scheme.
A common problem with feature selection is to establish how many features should be retained at least so that important information is not lost. We describe a method for choosing this number that makes use of Support ...
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This paper presents an interactive platform called TANGO:H (Tangible Goals: Health) for the creation of social active play with gestural interaction. This platform has been specially designed and adapted for its recre...
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For many in the field of HCI, location and space are synonymous;yet, as we move from the mobile era to the ubiquitous era, computing becomes entangled with notions of space. This workshop critically examines the role ...
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ISBN:
(纸本)9781450324748
For many in the field of HCI, location and space are synonymous;yet, as we move from the mobile era to the ubiquitous era, computing becomes entangled with notions of space. This workshop critically examines the role of space in human-computer interfaces. The objective is to bring together diverse perspectives of space, drawing from architecture, philosophy, art, geography, design, dance, spatial-cognition, mathematics, computing, and still other domains, towards foregrounding space in theoretical discussions and explorations within the CHI community. Expected outcomes are the reporting of fresh insights into the impact and role of space in the interaction process.
Instruction Set Customization is a well-known technique to enhance the performance and efficiency of Application-Specific Processors (ASIPs). An extensive application profiling can indicate which parts of a given appl...
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Instruction Set Customization is a well-known technique to enhance the performance and efficiency of Application-Specific Processors (ASIPs). An extensive application profiling can indicate which parts of a given application, or class of applications, are most frequently executed, enabling the implementation of such frequently executed parts in hardware as custom instructions. However, a naive ad hoc instruction set customization process may identify and select poor instruction extension candidates, which may not result in a significantly improved performance with low circuit-area and energy footprints. In this paper we propose and discuss an efficient instruction set customization method and automatic tool, which exploit the maximal common subgraphs (common operation patterns) of the most frequently executed basic blocks of a given application. The speed results from our tool for a VLIW ASIP are provided for a set of benchmark applications. The average execution time reduction ranges from 30% to 40%, with only a few custom instructions.
In the article we evaluate different text representation methods used for a task of Wikipedia articles categorization. We present the Matrix'u application used for creating computational datasets of Wikipedia arti...
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Custom Instruction Identification is an important part in the design of efficient Application-Specific Processors (ASIPs). It consists of profiling of a given application to find patterns of basic operations that are ...
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Custom Instruction Identification is an important part in the design of efficient Application-Specific Processors (ASIPs). It consists of profiling of a given application to find patterns of basic operations that are frequently executed. Operations of such patterns can be implemented together as a single custom instruction to speedup the execution of the application. Because of the problem's high complexity, several methods have been proposed for specific single-issue (RISC) processors and architectures, limiting the shape and size of custom instructions that can actually be identified and, possibly, implemented. In this paper, we propose and discuss an efficient custom instruction set identification method and corresponding automatic tool for multi-issue VLIW ASIPs, which search for the common operation patterns of the most frequently executed basic blocks of a given application, with different sizes and shapes. The speedup results for the custom instructions identified by our tool are provided for a set of benchmark applications. The speedup is up to 68%, with only a few custom instructions used.
The reduction of the energy consumption in the domain of the embedded systems is becoming the most important design goal due to the increasing use of battery powered consumer devices. Previous research has pointed out...
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Aiming at a quantitative understanding of basic aspects of pedestrian dynamics, extensive and high-accuracy measurements of real-life pedestrian trajectories have been performed. A measurement strategy based on Micros...
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Aiming at a quantitative understanding of basic aspects of pedestrian dynamics, extensive and high-accuracy measurements of real-life pedestrian trajectories have been performed. A measurement strategy based on Microsoft Kinect TM has been used. Specifically, more than 100.000 pedestrians have been tracked while walking along a trafficked corridor at the Eindhoven University of technology, The Netherlands. The obtained trajectories have been analyzed as ensemble data. The main result consists of a statistical descriptions of pedestrian characteristic kinematic quantities such as positions and fundamental diagrams, possibly conditioned to the local crowd flow (e.g. co-flow or counter-flow).
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