This paper describes a biologically motivated approach, using hierarchical temporal memory (HTM), to build a high-level self-organizing visual system for a soccer bot. Meanwhile it presents two unsupervised online lea...
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This paper describes a biologically motivated approach, using hierarchical temporal memory (HTM), to build a high-level self-organizing visual system for a soccer bot. Meanwhile it presents two unsupervised online learning algorithms for temporal patterns in HTMs. The algorithms were implemented in a simulated soccer bot for a real-world evaluation. After a training phase, the robot was able to recognize different static objects in the soccer field. It also learned and recognized high-level objects that are composed of simpler objects, with position invariance and was also able to learn and recognize motions in the objects, all in a completely unsupervised manner.
Efficient scheduling is a key concern for the effectual execution of performance driven Grid applications, such as workflows. Many list heuristics have been developed for scheduling workflows in centralized Grid envir...
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Efficient scheduling is a key concern for the effectual execution of performance driven Grid applications, such as workflows. Many list heuristics have been developed for scheduling workflows in centralized Grid environment. However, in this paper, we present a distributed list heuristic for decentralized scheduling of workflow applications in global Grids. The simulation results show that the proposed scheduling approach is scalable with respect to increased workload on the system.
In this paper, a reputation-based Grid workflow scheduling algorithm is proposed to counter the effect of inherent unreliability and temporal characteristics of computing resources in large scale, decentralized Grid o...
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In this paper, a reputation-based Grid workflow scheduling algorithm is proposed to counter the effect of inherent unreliability and temporal characteristics of computing resources in large scale, decentralized Grid overlays. The proposed approach builds upon structured peer-to-peer indexing and overlay networking techniques to create a scalable wide-area networking of Grid sites for supporting dependable scheduling of applications. The scheduling algorithm considers reliability of a Grid resource as a statistical property, which is globally computed in the decentralized Grid overlay based on dynamic feedbacks or reputation scores assigned by individual service consumers (Grid Resource Brokers). The proposed algorithm can dynamically adapt to changing resource conditions and offer significant performance gains as compared to traditional approaches in the event of unsuccessful job execution or resource failure. We evaluate and demonstrate the feasibility of our approach through an extensive trace driven simulation. The results show that our scheduling technique can reduce the makespan up to 50% and successfully isolate the failure-prone resources from the system.
The current Internet did not define any inherent management constructs and mechanisms; such concepts were added after networking standards and architectures were constructed. This also influenced network management fo...
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The current Internet did not define any inherent management constructs and mechanisms; such concepts were added after networking standards and architectures were constructed. This also influenced network management for other types of networks. This paper is the first in a series that explores concepts for a new autonomic approach to network management that can be used for current and next generation networks as well as for the Future Internet.
A pragmatic and straightforward approach to semantic service discovery is to match inputs and outputs of user requests with the input and output requirements of registered service descriptions. This approach can be ex...
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A pragmatic and straightforward approach to semantic service discovery is to match inputs and outputs of user requests with the input and output requirements of registered service descriptions. This approach can be extended by using pre-conditions, effects and semantic annotations (meta-data) in an attempt to increase discovery accuracy. While on one hand these additions help improve discovery accuracy, on the other hand complexity is added as service users need to add more information elements to their service requests. In this paper we present an approach that aims at facilitating the representation of service requests by service users, without loss of accuracy. We introduce a goal-based service framework (GSF) that uses the concept of goal as an abstraction to represent service requests. This paper presents the core concepts and relations of the goal-based service ontology (GSO), which is a fundamental component of the GSF, and discusses how the framework supports semantic service discovery and composition. GSO provides a set of primitives and relations between goals, tasks and services. These primitives allow a user to represent its goals, and a supporting platform to discover or compose services that fulfil them.
Next generation networks, as well as the future Internet, aim to provide context-sensitive business services that adapt to changing user needs, business goals, and environmental conditions. This paper describes the co...
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Next generation networks, as well as the future Internet, aim to provide context-sensitive business services that adapt to changing user needs, business goals, and environmental conditions. This paper describes the composition of an autonomic element, as a fundamental part of an autonomic architecture, which uses information models and semantics to link the business services with the services provided by the underlying network devices. This linkage is inherently context-aware, and allows context changes to determine the impact of changes in the network towards business services and vice versa. The described autonomic element is a programmable toolbox supporting the clean-slate approach as well as evolutionary approaches for the future Internet.
In this paper we consider the importance of explicit knowledge management, taking into account the growth of global softwareengineering and the importance of corporate knowledge. We conclude by suggesting specific ar...
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In this paper we consider the importance of explicit knowledge management, taking into account the growth of global softwareengineering and the importance of corporate knowledge. We conclude by suggesting specific areas of research which should be considered important for the implementation of knowledge management within global softwareengineering environments.
The massive, simultaneous redesign of all degrees in European Higher Education Area presents daunting chalLênges but also offers unprecedented opportunities. All degrees must be simultaneously redesigned;synergie...
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ISBN:
(纸本)9789898111821
The massive, simultaneous redesign of all degrees in European Higher Education Area presents daunting chalLênges but also offers unprecedented opportunities. All degrees must be simultaneously redesigned;synergies among them can be effectively exploited, thus encouraging the re-utilization oriented approaches discussed in this paper (LCMS, standards like LOM, Dublin Corem QTI, IMS, SCORM, etc.). On the other hand, shifting the unit of academic measurement to student hours (through the ECTS) facilitates the seamLêss combination of face-to-face, distance and bLênded Lêarning in academic degrees.
Modeling parasitic parameters of Through-Silicon-Via (TSV) structures is essential in exploring electrical characteristics such as delay and signal integrity (SI) of circuits and interconnections in three-dimensional ...
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Modeling parasitic parameters of Through-Silicon-Via (TSV) structures is essential in exploring electrical characteristics such as delay and signal integrity (SI) of circuits and interconnections in three-dimensional (3-D) integrated circuits (ICs). This paper presents a complete set of self-consistent equations including self and coupling terms for resistance, capacitance and inductance of various TSV structures. Further, a reduced-order electrical circuit model is proposed for isolated TSVs as well as bundled structures for delay and SI analysis, and extracted TSV parasitics are employed in Spectre simulations for performance evaluations. Critical issues in the performance modeling for design space exploration of 3-D ICs such as cross-talk induced switching pattern dependent delay variation and cross-talk on noise are discussed. The error in these metrics when using the proposed models as compared to a field solver is contained to a few percentage points.
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