Heterogeneous sensor networks (HSNs) with multiple sensing modalities are gaining popularity in diverse fields. Tracking is an application that can benefit from multiple sensing modalities. If a moving target emits so...
Heterogeneous sensor networks (HSNs) with multiple sensing modalities are gaining popularity in diverse fields. Tracking is an application that can benefit from multiple sensing modalities. If a moving target emits sound then both audio and video sensors can be utilized. These modalities can complement each other in the presence of high background noise that impairs the audio or visual clutter affecting the video. Audio-video tracking can also provide cues for the other modality for actuation. In this paper, we describe an approach for target tracking in urban environments utilizing an HSN of mote class devices equipped with acoustic sensor boards and embedded PCs equipped with web cameras. Our system employs a Markov Chain Monte Carlo Data Association algorithm for tracking vehicles emitting engine noise. Experimental results from a deployment in an urban environment are used to demonstrate our approach.
In this paper, we propose an efficient algorithm, NCLOSED, for mining the N k-closed itemsets with the highest supports for 1 up to a certain k max value. The algorithm adopts best-first search strategy to generate c...
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In this paper, we propose an efficient algorithm, NCLOSED, for mining the N k-closed itemsets with the highest supports for 1 up to a certain k max value. The algorithm adopts best-first search strategy to generate closed itemsets with highest remaining supports. It does not keep closed itemsets mined in main memory to ensure that they are really closed. This is because this algorithm can directly generate closed itemsets. Moreover, duplicated closed itemsets are detected and discarded from this algorithm.
This paper presents a grid portal for protein secondary structure prediction developed by using services of Aneka, a .NET-based enterprise grid technology. The portal is used by research scientists to discover new pre...
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This paper presents a grid portal for protein secondary structure prediction developed by using services of Aneka, a .NET-based enterprise grid technology. The portal is used by research scientists to discover new prediction structures in a parallel manner. An SVM (support vector machine)-based prediction algorithm is used with 64 sample protein sequences as a case study to demonstrate the potential of enterprise grids.
Ambiguity is a major problem of software errors because much of the requirements specification is written in a natural language format. Therefore, it is hard to identify consistencies because this format is too ambigu...
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ISBN:
(纸本)9781424439027
Ambiguity is a major problem of software errors because much of the requirements specification is written in a natural language format. Therefore, it is hard to identify consistencies because this format is too ambiguous for specification purposes. This paper aims to propose a method for handling requirement specification documents which have a similar content to each other through a hierarchical text classification. The method consists of two main processes of classification: heavy classification and light classification. The heavy classification is to classify the requirement specification documents having similar content together. Meanwhile, light classification is to elaborate specification requirement documents by using the Euclidean distance. Finally, slimming down the number of requirements specification through hierarchical text classification classifying may yield a specification which is easier to understand. That means the proposed method is more effective for reducing and handling in the requirements specification.
作者:
He-xuan HuAnne-lise GehinMireille BayartLanguages
Informatics Systems and Software Engineering Department Faculty of Computer Science Université des Sciences et Technologies de Lille Villeneuve d'Ascq France
This paper proposes a formal framework for reconfigurable control, based on model checking. This framework first generates a flexible model (i.e., an execution structure) according to the diagnosis, then defines a tem...
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This paper proposes a formal framework for reconfigurable control, based on model checking. This framework first generates a flexible model (i.e., an execution structure) according to the diagnosis, then defines a temporal specification language to deal with the problems due to infinite execution cycles and non-determinism, and finally provides the algorithms that will automatically verify whether the updated model satisfies the desired specification.
A new nonlinear protocol is proposed for state consensus of multi-agent systems in this paper. It is shown that this protocol can provide faster convergence rate than the typical linear protocol, presented by Olfati-S...
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A new nonlinear protocol is proposed for state consensus of multi-agent systems in this paper. It is shown that this protocol can provide faster convergence rate than the typical linear protocol, presented by Olfati-Saber and Murray, and furthermore guarantees the states of agents reach a consensus in finite time, provided that the interaction topology, represented by a directed graph, has a spanning tree.
This paper examines transformational learning experiences of computing students as a way to better understand threshold concepts in computing. From empirical evidence we found that students often describe transformati...
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ISBN:
(纸本)9781605582160
This paper examines transformational learning experiences of computing students as a way to better understand threshold concepts in computing. From empirical evidence we found that students often describe transformative experiences as learning situations in which they were led to use various kinds of abstraction, for example modularity, data abstraction, inheritance, polymorphism, reuse, design patterns, and complexity. Some students describe an abstract concept as coming first, and then needing to be made concrete though application;others describe transformations in which they learn the advantages of these abstract concepts from their experience of not using them. Abstraction is certainly of central importance in computer science. It appears, however, from our students' descriptions of transformative experiences, that abstraction per se is not a threshold, but that particular concepts in which abstraction is paramount exhibit the characteristics of threshold concepts. Copyright 2008 ACM.
In novel market-oriented resource sharing models, resource consumers pay for the resource usage and expect that non-functional requirements for the application execution, termed as quality of service (QoS), are satisf...
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In novel market-oriented resource sharing models, resource consumers pay for the resource usage and expect that non-functional requirements for the application execution, termed as quality of service (QoS), are satisfied. QoS is negotiated between two parties following the specific negotiation protocols and is recorded using service level agreements (SLAs). However, most of the existing work assumes that the communication partners know about the SLA negotiation protocols and about the SLA templates before entering the negotiation. However, this is a contradictory assumption, if we consider computational grids and novel, commercially oriented computing clouds where consumers and providers meet each other dynamically. In this paper, we present novel meta-negotiation and SLA-mapping solutions for grid workflows bridging the gap between current QoS models and grid workflows, one of the most successful grid programming paradigms. We illustrate the open research issues with a real world case study. Thereafter, we present document models for the specification of meta-negotiations and SLA-mappings. We discuss the architecture for the management of meta-negotiations and SLA-mappings as well as integration of the architecture into a grid workflow management framework.
In this paper, we proposed an efficient algorithm, TOPK_CLOSED, for mining top-k closed itemsets. This algorithm mines top-k closed itemsets using best-first search. The closed itemsets with the highest supports are f...
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In this paper, we proposed an efficient algorithm, TOPK_CLOSED, for mining top-k closed itemsets. This algorithm mines top-k closed itemsets using best-first search. The closed itemsets with the highest supports are firstly found from this algorithm. Consequently, the method quickly finds top-k closed itemsets, which leads to an efficient pruning unnecessary itemsets and stop mining rapidly. In addition, this algorithm can generate closed itemsets without keeping candidates in main memory.
In this paper, multiple orders per job type formation and release strategies are described for semiconductor wafer fabrication facilities (wafer fabs). Different orders are grouped into one job because orders of an in...
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ISBN:
(纸本)9781424427086
In this paper, multiple orders per job type formation and release strategies are described for semiconductor wafer fabrication facilities (wafer fabs). Different orders are grouped into one job because orders of an individual customer very often fill only a portion of a front-opening unified pod (FOUP). A FOUP is assigned to each job and is used to move the job throughout the wafer fab after the job formation. We determine an appropriate number of FOUPs for a given order release rate that will yield acceptable values for on-time delivery performance, cycle time, and throughput via discrete event simulation.
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