Fuzzy Evaluation of Agent-Based Semantic Match-Making Algorithm for Cyberspace

2010 ◽  
Author(s):  
Dimple Juneja ◽  
S. S. Iyengar ◽  
Vir V. Phoha
Keyword(s):  
Fuzzy Evaluation ◽  
Agent Based ◽  
Semantic Match

FUZZY EVALUATION OF AGENT-BASED SEMANTIC MATCH-MAKING ALGORITHM FOR CYBERSPACE

2009 ◽  
Vol 03 (01) ◽  
pp. 57-76 ◽  
Author(s):  
DIMPLE JUNEJA ◽  
S. S. IYENGAR ◽  
VIR V. PHOHA
Keyword(s):  
Intelligent Agents ◽  
Synthetic Data ◽  
Fuzzy Evaluation ◽  
Multi Agent Systems ◽  
Uncertain Environments ◽  
Agent Based ◽  
User Input ◽  
Semantic Match ◽  
Evaluation Scheme ◽  
Multi Agent

Intelligent agents help to automate time and resource consuming tasks such as anomaly detection, pattern recognition, monitoring and decision-making. One of the major issues in automation of cyberspace is the discordance between the concept people use and the elucidation of the corresponding data by existing algorithms. Moreover, the measurement and computation of relevance referred to as degree of match-making is a crucial task and presents one of the most important challenges in unknown and uncertain environments of multi-agent systems. Optimal algorithms that generate the best matches for a user input are desired. This paper overcomes the challenges listed by proposing an agent-based semantic match-making algorithm that addresses the problem of heterogeneous ontology at user end and semantically enhances the user-input. A degree of match-making evaluation scheme based on fuzzy logic is proposed and evaluated using synthetic data from the web. The results are found to be consistent on the scale provided by the existing algorithms.

Total etch dentin bonding systems: scanning electron microscopy of the resin-dentin hybrid layer

1992 ◽  
Vol 50 (2) ◽  
pp. 1092-1093
Author(s):  
Jorge Perdigao
Keyword(s):  
Composite Resin ◽  
Mechanical Interlocking ◽  
Hybrid Layer ◽  
Agent Based ◽  
Dentin Bonding ◽  
Acid Agent ◽  
Bond Strengths ◽  
Main Component ◽  
Bonding Systems ◽  
New Generation

In 1955, Buonocore introduced the etching of enamel with phosphoric acid. Bonding to enamel was created by mechanical interlocking of resin tags with enamel prisms. Enamel is an inert tissue whose main component is hydroxyapatite (98% by weight). Conversely, dentin is a wet living tissue crossed by tubules containing cellular extensions of the dental pulp. Dentin consists of 18% of organic material, primarily collagen. Several generations of dentin bonding systems (DBS) have been studied in the last 20 years. The dentin bond strengths associated with these DBS have been constantly lower than the enamel bond strengths. Recently, a new generation of DBS has been described. They are applied in three steps: an acid agent on enamel and dentin (total etch technique), two mixed primers and a bonding agent based on a methacrylate resin. They are supposed to bond composite resin to wet dentin through dentin organic component, forming a peculiar blended structure that is part tooth and part resin: the hybrid layer.

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