In a period of 2 years, two rather independent experiments were conducted at the University of Southern California (USC). In 1995, 23 three-person teams negotiated the requirements for a hypothetical library system. T...
In order to give users integrated access to a large number of heterogeneous, autonomous information sources, we need an effective and efficient mechanism for enabling knowledge to be shared and exchanged. Sharing of k...
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XML users can make their own document structure and tagsets by freely defining the DTD with their intention. This freedom of defining tagsets and the structures, however, prevents the interchange of an XML document be...
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A multidatabase system provides integrated access to heterogeneous, autonomous component databases in a distributed system. In order to gain integrated access to a multidatabase system, semantic heterogeneities have t...
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Cache coherence protocols are important for operating a shared-memory multiprocessor system with efficiency and correctness. Cache coherence protocols have become increasingly complex because physical memory is logica...
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Cache coherence protocols are important for operating a shared-memory multiprocessor system with efficiency and correctness. Cache coherence protocols have become increasingly complex because physical memory is logically distributed, so that it is difficult for programmers to understand the view of logical shared-memory systems. Since random testing and simulations are not enough to validate the correctness of these protocols, it is necessary to develop efficient and reliable verification methods. Through the use of the Symbolic State Model (SSM) of Fong Pong (1995), we verified a directory-based protocol called the RACE (Remote-Access Cache coherence Enforcement) protocol. The protocol is verified for any system size, without state-space explosion.
A new method for version controlling of a tree structure is presented. The key feature of the method is that the latest state of a tree is retained and other versions are constructed from it on request, and informatio...
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In this paper we address the decomposition problem of electromyographic signals (EMG) and we present a new idea for the decomposition approach introducing the time-scale phase representation. Considering the nature of...
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In this paper we address the decomposition problem of electromyographic signals (EMG) and we present a new idea for the decomposition approach introducing the time-scale phase representation. Considering the nature of EMG signals, a special set of nonorthogonal conjugated basis functions is used to perform the time-scale analysis. Mapping the modified signal phase into the time-scale phase plane is applied. Its minimization leads towards a very good time localization of individual superimposed signal components.
The Farmer model is a basic model of the farming methodology that loads the component defined in the aspect-object from the PICR into the distributed object after analyzing the real world entity in various aspects and...
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ISBN:
(纸本)0780351460
The Farmer model is a basic model of the farming methodology that loads the component defined in the aspect-object from the PICR into the distributed object after analyzing the real world entity in various aspects and defining the aspect elements as the Aspect-Object. This model is a model that formalizes the concept of downloading the componentware from the PICR to the distributed entity node type that describes the abstract object, the aspect node type that describes this object, the link type that shows the relativity between the entity and the aspect, and the attribute type that shows the characteristics of the entity. In this paper, the platform independent TMN agents are designed by the diagram of the Farmer model.
Presents a methodology for data mining and knowledge discovery in large, distributed and heterogeneous databases. In order to obtain potentially interesting patterns, relationships and rules from such large and hetero...
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Presents a methodology for data mining and knowledge discovery in large, distributed and heterogeneous databases. In order to obtain potentially interesting patterns, relationships and rules from such large and heterogeneous data collections, it is essential that a methodology be developed to take advantage of the suite of existing methods and tools that are available for data mining and knowledge discovery in databases (KDD). One of the most important methodologies is an integration of diverse learning strategies that cooperatively performs a variety of discovery techniques that achieves high-quality knowledge. The KDLC (knowledge discovery life-cycle) model is an extended study of AqBC, which is a multi-strategy knowledge discovery approach that combines supervised inductive rule learning and unsupervised Bayesian classification via a constructive induction mechanism. A case study dealing with crop yields for a farm in the state of Idaho, USA is presented, and preliminary results are visualized by using the ArcView geographical information system (GIS). The significance of the multi-strategy knowledge discovery and visualization process in analyzing the classifications and learned rules has been empirically verified in KDLC.
This paper generalizes the load scaling techniques proposed in (Kuo and Mok, 1991) for fixed-priority real-time applications. A framework is proposed to adjust the system workload by relating the criticality and flexi...
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ISBN:
(纸本)081869209X
This paper generalizes the load scaling techniques proposed in (Kuo and Mok, 1991) for fixed-priority real-time applications. A framework is proposed to adjust the system workload by relating the criticality and flexibility of a process to the resource allocation problem. A load adjustment procedure based on the approximation algorithm (Ni et al., 1997) is proposed to maximize the system profit in an on-line fashion. When the list of allowable configurations is implicitly given by scalable periodic processes, the corresponding load filtering problem is shown to be NP-complete. We also prove the upper bound of the system profit and provide a mechanism to balance the schedulability and the maximum profit of the system.
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