Information on the web is growing exponentially. The unprecedented growth of available information coupled with the vast number of available online activities. It has introduced a new wrinkle to the problem of web search. It is difficult to retrieve relevant information. In this context search engines have become a valuable tool for users to retrieve relevant information. Finding relevant infor...

Layered learning is a hierarchical machine learning paradigm that enables learning of complex behaviors by incrementally learning a series of sub-behaviors. A key feature of layered learning is that higher layers directly depend on the learned lower layers. In its original formulation, lower layers were frozen prior to learning higher layers. This paper considers an extension to the paradigm th...

In this study, Finite Elements Method was used for the nonlinear analysis of reinforced concrete plates under gradually loading conditions beginning from zero load to failure load. Layered Composite Material Model was used for the modeling of reinforced concrete plates. The principles of this approach is given in “layered composites mechanics” that it was successfully applied for the nonlinear ...

We propose a layered quality adaptation scheme for video streams to smooth the short-term oscillations induced by Additive Increase Multiplicative Decrease (AIMD) mechanisms, and eventually refine the perceptual video quality. The layered scheme utilizes receiver buffering, adapting the video quality along with long-term variations in the available bandwidth. The allocation of a new layer is ba...

A new approach to structuring layered protocols using polymorphic service access points and type inheritance between protocol machines is presented Polymorphic service access points facil itate the exible instantiation of protocol machines containing the minimal functionality required by an application The type inheritance structure is induced by a vertical partitioning of the upper layers of t...

INTRODUCTION Externally pressurized gas-lubricated thrust bearings (aerostatic bearings) keep the bearing clearance constant under a constant supply pressure. We investigated how controlling the supply pressure with an electro-pneumatic servovalve can be used to dynamically adjust the bearing gap height. As a result of our investigation, we developed an electropneumatic servo-actuator “pneumati...

Layered learning is a hierarchical machine learning paradigm that enables learning of complex behaviors by incrementally learning a series of sub-behaviors. A key feature of layered learning is that higher layers directly depend on the learned lower layers. In its original formulation, lower layers were frozen prior to learning higher layers. This article considers a major extension to the para...

Counterfeiting is a very serious threat to supply chain management systems. RFID systems are widely used to automate and speed up the process of remotely identifying products, however these systems are vulnerable to counterfeiting. In this paper, we propose a hierarchical anti-counterfeiting mechanism which uses a layered approach to identify dishonest middle parties involved in both counterfei...

Deployment of distributed systems sets high requirements for procedures and tools for the complex testing of these systems. This work introduces a formal four-layered model for test generation mission on the basis of the component-based approach and the concept of layered networks. Based on this model, we describe the test generation strategy that covers every interaction from the end-user requ...

Eficient and efiective discovery of resource and knowledge from the Internet has become an imminent research issue, especially with the advent of the Information Super-Highway. A multiple layered database (MLDB) approach is proposed to handle the resource and knowledge discovery in global information base. A preliminary experiment shows the advantages of such an approach. Information retrieval,...