eeide @ cs. utah.edu Design patterns are a valuable mechanism for emphasizing struc-ture, capturing design expertise, and facilitating restructuring of software systems. Patterns are typically applied in the context of an object-oriented language and are implemented so that the pat-tern

notation for specifying this high-level organisation. Darwin is in essence a declarative binding language which can be used to define hierarchic compositions of interconnected components. Distribution is dealt with orthogonally to system structuring. The language supports the specification of both static

being aware of any aliasing. Ownership types form a static type system that indicates object ownership. This provides a flexible mechanism to limit the visibility of object references and restrict access paths to objects, thus controlling a system's dynamic topology. The type system is shown

within the same level of the cache. We show that, for multi-megabyte level-two caches, an adaptive, dynamic NUCA design achieves 1.5 times the IPC of a Uniform Cache Architecture of any size, outperforms the best static NUCA scheme by 11%, outperforms the best three-level hierarchywhile using less

propositions about supply, demand, and the pattern of production; and before indicating the historical content of the categories I shall briefly state the underlying propositions. A Dynamic Theory of Production The classical theory of production is formulated under essentially static assumptions which freeze

The Bayes Net Toolbox (BNT) is an open-source Matlab package for directed graphical models. BNT supports many kinds of nodes (probability distributions), exact and approximate inference, parameter and structure learning, and static and dynamic models. BNT is widely used in teaching and research

the factors that affect the performance of predictive queries and show that several of these factors are not considered by the TPR-tree, which uses the insertion/deletion algorithms of the R*-tree designed for static data. Motivated by this, we propose a new index structure called the TPR*- tree, which

as a shaded rendering from a new viewpoint. This paper presents a color structured light technique for recovering object shape from one or more images. The technique works by projecting a pattern of stripes of alternating colors and matching the projected color transitions with observed edges

Although frequent-pattern mining has been widely studied and used, it is challenging to extend it to data streams. Compared to mining from a static transaction data set, the streaming case has far more information to track and far greater complexity to manage. Infrequent items can become frequent

Abstract — Structure design has been optimized for physically coupled problems. A non-gradient evolutionary genetic algorithm (GA) is employed to optimize the behaviors of isotropic solid structures. A structure showing thermo-elasticplastic and creep (TEPC) behaviors are considered