The purpose of this paper is to describe a means to improve the accessibility of files across different delivery platforms, making it possible to use a single search…
The purpose of this paper is to describe a means to improve the accessibility of files across different delivery platforms, making it possible to use a single search modality. The paper shows that both peer‐to‐peer file sharing networks and the worldwide web provide extensive information resources, and either network may contain data that satisfy a searcher's information need.
The paper proposes a gateway between the worldwide web and peer‐to‐peer networks that permits searchers on one side to be able to seamlessly search and retrieve files on the other side of the gateway. The design and prototype implementation of such a gateway to Gnutella is detailed, along with access statistics from test deployments and lessons learned.
The prototype implementation was found to demonstrate the feasibility of a seamless gateway between the Gnutella network and the worldwide web. Gnutella users saw millions of web search results and initiated retrievals via the gateway without knowing the source of the information or having to leave their Gnutella applications. Analysis of file retrieval logs showed that Gnutella search results lose value (to the original searcher) if delayed by more than a few seconds.
The implementation is a prototype, fielded for only a few months within the Gnutella network. Future implementations need cooperation with a web search service, and ideally would connect to multiple services for different types of queries.
Deployment of the gateway architecture described would be of use to searchers and of value to content providers.
This paper's approach makes information in other networks seamlessly searchable and accessible.
The purpose of this paper is to establish a combined model for selecting key indexes of complex equipment, and then improve the cost forecasting precision of the model…
The purpose of this paper is to establish a combined model for selecting key indexes of complex equipment, and then improve the cost forecasting precision of the model. The problem how to choose the key elements of complex products has always been concerned on many fields, such as cost assessment, investment decision making, etc.
Using Grey System Theory to establish a cost estimation model of complicated equipment is more reasonable under the few data and poor information. Therefore, this paper constructs cost index’s system of complex equipment, and then quantitative and qualitative analysis methods are utilized to calculate the grey entropy between the characteristic parameter and the behavior parameters. Further, establish the grey relational clustering matrix of the behavior sequences by using the grey relative incidence analysis. Finally, the authors select key indicators according to the grey degree.
The experiment demonstrates that the cost key parameters of complex equipment can be successfully screened out by the proposed approach, and the cost estimation accuracy of complicated products is improved.
The method proposed in this paper could be utilized to solve some practical problems, particularly the selection of cost critical parameters for complex products with few samples and poor information. Taking the cost key indexes of civil aircraft as an example, the results verified the validity of the GICM model.
In this paper, the authors develop the method of GICM model. Taking the data of civil aircraft as an example, the authors screen the key indicators of complex products successfully, and improve the prediction accuracy of the GM (1, N) model by using the selected parameters, which provides a reference for some firms.