A ubiquitous learning environment provides learners opportunities of observing and touching the learning objects around the learners according to their preferences and/or interests. Learners can solve problems, answer...
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Power consumption will be one of the most crucial issues to realize both future VLSI chips and communication environments. This research project proposed in this paper is aiming at developing a data-driven networking ...
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ISBN:
(纸本)1601320841
Power consumption will be one of the most crucial issues to realize both future VLSI chips and communication environments. This research project proposed in this paper is aiming at developing a data-driven networking system by which the coming networking environment can be achieved with ultra- low-power consumption 1/100 to 1/1000 of the present. To realize the objectives, this project is planning to proceed from two approaches by ultimately utilizing passive data-driven principle. One approach is from the processor platform, that is, data-driven chip multi-processor platform based on self-timed elastic pipeline. And the other is from the networking scheme, that is, ad hoc networking scheme. As for the platform approach, based on rich experience so far on data-driven processor, we propose a novel architecture including chip multi-processor core with highly effective self-timed elastic pipeline. As for the networking scheme, this paper shows our proposal can reduce the number of control packets that results in reduction of power consumption.
Recently cooperative diversity has received a lot of attention as an effective and low-cost technique to combat multipath fading and enhance transmission reliability. However, many existing cooperative protocols suffe...
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DEVS-FIRE is a model for discrete event simulation of wildfire spread, where fire spread is modeled as a contagion process in a cellular space of forest cells. In this paper, DEVS-FIRE is validated using FARSITE, a wi...
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ISBN:
(纸本)1565553195
DEVS-FIRE is a model for discrete event simulation of wildfire spread, where fire spread is modeled as a contagion process in a cellular space of forest cells. In this paper, DEVS-FIRE is validated using FARSITE, a widely used fire spread model. Both graphical and statistical approaches are used and the results show that the output of DEVS-FIRE is comparable to that of FARSITE under a wide range of input conditions.
Adaptive techniques based on machine learning and data mining are gaining relevance in self-management and self-defense for networks and distributed systems. In this paper, we focus on early detection and stopping of ...
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ISBN:
(纸本)9781605582917
Adaptive techniques based on machine learning and data mining are gaining relevance in self-management and self-defense for networks and distributed systems. In this paper, we focus on early detection and stopping of distributed flooding attacks and network abuses. We extend the framework proposed by Zhang and Parashar (2006) to cooperatively detect and react to abnormal behaviors before the target machine collapses and network performance degrades. In this framework, nodes in an intermediate network share information about their local traffc observations, improving their global traffc perspective. In our proposal, we add to each node the ability of learning independently, therefore reacting dierently according to its situation in the network and local traffc conditions. In particular, this frees the administrator from having to guess and manually set the parameters distinguishing attacks from non-attacks: now such thresholds are learned and set from experience or past data. We expect that our framework provides a faster detection and more accuracy in front of distributed flooding attacks than if staticlters or single-machine adaptive mechanisms areused. We show simulations where indeed we observe a high rate of stopped attacks with minimum disturbance to the legitimate users. Copyright 2008 ACM.
Bayesian Reinforcement Learning has generated substantial interest recently, as it provides an elegant solution to the exploration-exploitation trade-off in reinforcement learning. However most investigations of Bayes...
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Object-oriented programming is supposed to produce better modularized structure than structural programming in that it encourages related state and behavior to be organized together in the form of classes, thus facili...
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ISBN:
(纸本)9781627486620
Object-oriented programming is supposed to produce better modularized structure than structural programming in that it encourages related state and behavior to be organized together in the form of classes, thus facilitating reuse and maintenance. To test whether classes in object-oriented software are well modularized, we conduct empirical studies on real world object-oriented software. By employing method from network analysis, object-oriented software structures are characterized as networks of methods. Metric and methods from community discovery research are applied to the analysis of modularization. From the empirical results, we conclude that not all object-oriented software classes are well modularized and there is a need for research on modularization improvement for classes of objected-oriented software.
The SCIDDICA model is a custom cellular automata used to simulate and analyse landslides and debris flows. It models landslides by tracking the amounts of kinetic energy and debris in the slide and using a set of simp...
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ISBN:
(纸本)1565553195
The SCIDDICA model is a custom cellular automata used to simulate and analyse landslides and debris flows. It models landslides by tracking the amounts of kinetic energy and debris in the slide and using a set of simple rules to determine the movement of the kinetic energy and debris from cell to cell. CD++ is a toolkit for implementing DEVS and Cell-DEVS models. We present an attempt to implement SCIDDICA using DEVS and CD++. A DEVS based definition of the SCIDDICA model introduces the advantages of the DEVS formalism to the model, and would allow formal verification of the DEVS definition of the model. This also permits us to integrate a SCIDDICA based landslide with other DEVS models, allowing larger and more complex simulations to be developed.
The research in this paper focuses on an approach to reverse engineering web-based legacy systems with the integration of model-driven engineering and UML. Three types of link-based models of web-based legacy systems ...
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For traditional semiconducting materials, band gap is a unique characteristic which limits the material's applications and device's performance. The capability of on-chip adjusting semiconducting material'...
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