Economics-driven software mining (EDSM) sifts through the repository data to extract information that could be useful for reasoning about not only the technical aspects but also the economics properties related to the...
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ISBN:
(纸本)9781627486620
Economics-driven software mining (EDSM) sifts through the repository data to extract information that could be useful for reasoning about not only the technical aspects but also the economics properties related to the development and/or evolution of softwaresystems, and in relation to the environments in which they are procured, developed, evolved and used. The objective is to provide the analyst with insights into investment decisions related to the development, maintenance, and evolution of softwaresystems. We describe a scenario for realizing EDSM through an example. The example represents a small-size component-based distributed architecture, where we mined existing performance repositories to value the ranges in which a given software architecture can scale to support likely changes in load. The mining is based on a financial analogy. The mining step is then complemented with real options analysis to predict the values resulted from the ranges in which an architecture can scale under uncertainty, where uncertainty is attributed to the unpredicted change in load. The example shows the usefulness of EDSM in informing tradeoffs analysis in software design decision making.
The interference effects on Voice over Internet Protocol (VoIP) applications over Wireless Local Area Networks (WLANs) are here dealt with. In particular, attention is paid to the IEEE 802.11g standard, with Bluetooth...
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Matching laser range scans observed at different points in time is a crucial component of many robotics tasks, including mobile robot localization and mapping. While existing techniques such as the Iterative Closest P...
ISBN:
(纸本)9780262524841
Matching laser range scans observed at different points in time is a crucial component of many robotics tasks, including mobile robot localization and mapping. While existing techniques such as the Iterative Closest Point (ICP) algorithm perform well under many circumstances, they often fail when the initial estimate of the offset between scans is highly uncertain. This paper presents a novel approach to 2D laser scan matching. CRF-Matching generates a Condition Random Field (CRF) to reason about the joint association between the measurements of the two scans. The approach is able to consider arbitrary shape and appearance features in order to match laser scans. The model parameters are learned from labeled training data. Inference is performed efficiently using loopy belief propagation. Experiments using data collected by a car navigating through urban environments show that CRF-Matching is able to reliably and efficiently match laser scans even when no a priori knowledge about their offset is given. They additionally demonstrate that our approach can seamlessly integrate camera information, thereby further improving performance.
Wide-area distributed systems such as data sharing, computational grids, and multimedia are increasingly being deployed in a large-scale, heterogeneous and dynamic distributed environment with geographically scattered...
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Wide-area distributed systems such as data sharing, computational grids, and multimedia are increasingly being deployed in a large-scale, heterogeneous and dynamic distributed environment with geographically scattered resources. However, most current resource management approaches are unable to simultaneously deal with the characteristics of such an environment. This paper presents an efficient DHT-based locality-aware resource management mechanism. Taking advantage of a DHTpsilas hierarchical structure, it uses a single DHT to achieve multi-resource management with low overhead. Moreover, it has high capability to handle the characteristics of distributed systems. Simulation results demonstrate the effectiveness of the mechanism in comparison with other resource management algorithms. The mechanism performs no worse than existing locality-aware approaches and exhibits high resilience to dynamism. It also reduces the overhead of the locality-aware algorithms due to the elimination of unnecessary communications by shrinking probing scope. In addition, it yields significant improvements in the efficiency of resource discovery.
We propose models that focus on the improvement of flexibility in manufacturing supply networks by enabling a tighter information coupling between the various planning levels without tampering with the autonomy of ent...
We propose models that focus on the improvement of flexibility in manufacturing supply networks by enabling a tighter information coupling between the various planning levels without tampering with the autonomy of enterprises which are geographically distributed. The problem is approached from the perspective of social network planning using a community of agents. These agents have unique properties which they exhibit at different planning levels. Characterization of agents in the models is discussed.
This paper considers the Model Predictive Control (MPC) set point tracking/regulation problem for a discrete LTI system, which is subject to a class of unbounded disturbances/tracking signals called extended constant ...
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This paper considers the Model Predictive Control (MPC) set point tracking/regulation problem for a discrete LTI system, which is subject to a class of unbounded disturbances/tracking signals called extended constant signals of unknown structure. Examples of disturbances which belong to this class include constant disturbances as well as unbounded signals such as w[k]=√k and log (k), k=1,2,3,…. A discussion re the choice of window size for MPC is also made; in particular, it is shown that the window size must be larger than a certain lower bound, which can be easily determined, in order to guarantee closed loop stability in MPC control. The main contribution is a formulation of the system's plant equations under which, for output regulation, no knowledge of the structure or magnitude of disturbances is needed in order to achieve set point regulation for this class of extended constant signals. The result is of interest since it also implies that no disturbance observer is necessary in order to solve the set point tracking/regulation problem when full-state feedback is available. The results are experimentally verified.
In this paper, we have studied a common Web service composition problem, the syntactic matching problem, where the output parameters of a Web service can be used as the input parameters of another Web service. Many au...
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With the growth of adaptive educational systems available to students, semantic integration of user modeling information from these systems is emerging into an important practical task. Ontologies can serve as the maj...
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ISBN:
(纸本)9789868473522
With the growth of adaptive educational systems available to students, semantic integration of user modeling information from these systems is emerging into an important practical task. Ontologies can serve as the major representational framework for such integration. In this paper, we report an experiment on integration of domain models of two different adaptive systems. The differences in domain representations require use of manual mappings provided by human experts. The structure of domain ontology helps to refine the resulting mappings and align human expertise.
Our motivation for knowledge discovery in Chinese medicine is two folds: innovate and verify effective data mining technology in realistic applications;and update Chinese medical informatics. This paper focuses on the...
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Wireless mesh networks (WMNs) receive much research interests because of their reliability, scalability and low cost. Obtaining high-throughput for multicast applications (e.g. video streaming broadcast) in WMNs is ch...
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ISBN:
(纸本)8996076112
Wireless mesh networks (WMNs) receive much research interests because of their reliability, scalability and low cost. Obtaining high-throughput for multicast applications (e.g. video streaming broadcast) in WMNs is challenging due to the interference and the change of channel quality. Cross-layer design and network coding are approaches which have been recently received considerable attention for high-throughput problem in wireless networks. In this paper, we propose an approach namely CLNC (Cross-Layer Network Coding) which is a combination of the above approaches to improve throughput in multicast wireless mesh networks. Our simulation results show that when the number of receivers is high CLNC's throughput is higher at least 30% than that of known methods such as AODV, DSDV and DSR and higher than that of MAODV. Moreover, PDR (Packet Delivery Ration) of CLNC is higher than that of MAODV and DSDV.
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