A network-centric application developer faces a number of challenges, including distributed program design, e cient remote object access, software reuse, and program deployment issues. This level of complexity hinders the developer's ability to focus on the application logic. NetPebbles removes this complexity from the developer through a network-component based scripting environment where remo...

A team of experts assemble a graphical belief network from many small pieces. This paper catalogs the types of knowledge that comprise a graphical belief network and proposes a way in which they can be stored in libraries. This promotes reuse of model components both within the team and between projects.

New tools for analysis of oscillatory networks using phase response theory (PRT) under the assumption of pulsatile coupling have been developed steadily since the 1980s, but none have yet allowed for analysis of mixed systems containing nonoscillatory elements. This caveat has excluded the application of PRT to most real systems, which are often mixed. We show that a recently developed tool, th...

This paper addresses the distribution and the deployment of hierarchical components on heterogeneous dynamic networks. Such networks may include fixed and mobile resource-constrained devices and are characterized by the volatility of their hosts and connections, which may lead to their fragmentation. We propose a propagative, hierarchically-controlled deployment process for such networks and an...

Solutions in the network and service management layers of telecommunications management architectures are currently fragmented both in terms of standards and products. It is often, therefore, difficult for the developers of management systems to reuse and integrate management software from different sources in cost-effective solutions spanning the various TMN layers. This paper presents the ana...

Neural networks were used to estimate the cost of jet engine components, specifically shafts and cases. The neural network process was compared with results produced by the current conventional cost estimation software and linear regression methods. Due to the complex nature of the parts and the limited amount of information available, data expansion techniques such as doubling-data and data-cr...

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The feasibility of distinguishing multiple type components of exo-atmospheric targets is demonstrated by applying the Time Delay Neural Network (TDNN) and the Adaptive Time-Delay Neural Network (ATNN). Exo-atmospheric targets are especially difficult to distinguish using currently available techniques because all target parts follow the same spatial trajectory. Thus, classification must be base...

Because middleware abstractions remove the need for lowlevel network programming, modern distributed component systems expose network volatility (i.e., frequent but intermittent outages) as application-level exceptions, requiring custom manual handling. Unfortunately, handling network volatility effectively is nontrivial—the programmer must consider not only the specifics of the application, bu...