This paper will show how architecture design and analysis techniques rest on a small number of foundational principles. We will show how those principles have been instantiated as a core set of techniques. These techniques, combined together, have resulted in several highly successful architecture analysis and design methods. Finally, we will show how these foundations, and the techniques that ...

a r t i c l e i n f o a b s t r a c t Scientific applications, often expressed as workflows are making use of large-scale national cyberinfrastructure to explore the behavior of systems, search for phenomena in large-scale data, and to conduct many other scientific endeavors. As the complexity of the systems being studied grows and as the data set sizes increase, the scale of the computational ...

Closeness is a widely-used centrality measure in social network analysis. For a node it indicates the inverse average shortest-path distance to the other nodes of the network. While the identification of the k nodes with highest closeness received significant attention, many applications are actually interested in finding a group of nodes that is central as a whole. For this problem, only recen...

The issue of generating automatically sequences of music titles that satisfy arbitrary criteria such as user preferences has gained interest recently, because of the numerous applications in the field of Electronic Music Distribution. All the approaches proposed so far suffer from two main drawbacks: reduced expressiveness and incapacity to handle large music catalogues. We present in this pape...

We develop a domain-independent action selection mechanism for planning with sensing that does not build full contingent plans but just chooses the action to do next in a closedloop fashion. For this to work, the mechanism must be fast and informed. We take advantage of recent ideas that allow delete and precondition-free contingent problems to be converted into conformant problems, and conform...

July 2001 39 dinate its own actions with those of other agents. Coordination does not imply cooperation: An effective competitor will coordinate decisions to maximize its advantage against an opponent, such as a company timing a product promotion to undercut a rival. Nor does it imply reciprocation: An agent can coordinate its actions with another agent unaware of its presence, as when an autom...

We have been studying the learning of compositional hierarchies in predictive models, an area we feel is significantly underrepresented in machine learning. The aim in learning such models is to scale up automatically from fine-grained to coarser representations by identifying frequently occurring repeated patterns, while retaining the ability to make predictions based on the statistica] regula...

There are a great deal of obvious issues about effects of scale and scaling conversion that need to be solved for agricultural condition monitoring using remote sensing. In this paper, a serial of researches about them were performed so as to service practical requirements of agricultural condition remote sensing monitoring, especially in the dynamic monitoring of crops growth using remote sens...

Abstract. Bias adjustment is the practice of statistically transforming climate model data in order to reduce systematic deviations from a reference set, typically some sort observations. There are numerous proposed methodologies perform adjustments – ranging simple scaling approaches advanced multi-variate distribution-based mapping. In practice, actual bias method small step application, and ...

Landscape metrics are widely used in landscape planning and land use management. Understanding how respond with scales can provide more accurate prediction information; however, ignoring the interference of multi-scale interaction may lead to a severe systemic bias. In this study, we quantitatively analyzed scaling sensitivity based on predict their optimal scale ranges. Using big data method, ...