The comprehensive o i l log i n t e r p r e t a t i o n is a procedure of numerical ca l cu la t i on and l o g i c a l (or p l aus ib l e ) in fe rence. In other words, the resu l t s of p re l im ina ry inference w i l l provide a basis f o r the choice of parameters of ca l cu l a t i on formula, and then the r e s u l t s of numerical c a l c u l a t i o n w i l l be used as evidences f o r...

This paper presents an expert spindle design system strategy which is based on the efficient utilization of past design experience, the laws of machine design, dynamics and metal cutting mechanics. The configuration of the spindle is decided from the specifications of the workpiece material, desired cutting conditions, and most common tools used on the machine tool. The spindle drive mechanism,...

The uncertainty and unexpectedness of security risk makes it exceedingly challenging to assess and monitor. This paper outlines a hybrid approach which factors in the uncertainty, unexpectedness and complexity of risk. In this work, IT security risk in an organization is evaluated using and expert system which utilizes fuzzy reasoning and certainty factors. Since often the value of risk comes w...

Most expert system designers suffer from knowledge acquisition complications. Expert system shells contain facilities that can simplify knowledge acquisition to make domain experts themselves responsible for knowledge structuring and encoding. The aim of this research is to develop an Arabic Expert System Shell (AESS) for diagnosing diseases based on natural language. The suggested AESS mainly ...

In previous works, we have developed a novel class of agents called expert system agents. We have presented applications of the expert system agents in medicine. The medical expert system agents eliminate some disadvantages of the medical expert systems. The possibility to use medical expert system agents in flexible hybrid medical diagnosis systems proves practically their intelligence. In thi...

Machine learning [1] is concerned with the design and development of algorithms that allow computers to evolve intelligent behaviors based on empirical data. Weak learner is a learning algorithm with accuracy less than 50%. Adaptive Boosting (Ada-Boost) is a machine learning algorithm may be used to increase accuracy for any weak learning algorithm. This can be achieved by running it on a given...

Root cause analysis is a critical part of the diagnostics expert system. The goal of root cause analysis is to allocate root cause by analyzing fault information with observed data. After gathering all data the two important questions that one needs to answer are: • Does the available data provide enough information to allocate root causes? • How to organize the data into meaningful structures ...

In this paper, both the general necessary conditions for all synthesis strategies and the speciic necessary conditions for each synthesis case in distributed expert systems are identiied. Based on these necessary conditions, several synthesis strategies in non-connict cases are proposed which include strategies in inclusion synthesis cases, in overlap synthesis cases, and in disjoint synthesis ...

................................................................................................................................