In this paper, we present a method for conceptual modelling of a real-time expert system for monitoring and control. Five models of interface model, object model, task model, inference model and strategy model, are generated by using this method to describe diierent aspects of the system. We illustrate the ve models by giving examples from modelling an expert system for monitoring and control o...

The performance of a case-based diagnosis system should be validated before it can be applied in a critical operational environment. This paper proposes a framework for a validation process of case-based diagnosis systems. This framework is developed from existing work on expert system validation and on evaluation and improvement of the performance of casebased reasoning systems. First results ...

One of the most popular utilization of expert systems is supporting credit granting decisions. Usually, certain systems without possibilities of representing of uncertain knowledge are used. The main aim of this paper is to compare certain and uncertain expert systems supporting credit granting decisions, and stating which one is superior over another.

The traditional hearing aid fitting method, which mainly relies on the audiologist, is timeconsuming and messy. To improve this situation, a self-fitting algorithm based on an improved interactive evolutionary computation (IEC) algorithm and expert system, which enables the patients to fit the hearing aid by themselves, is proposed. The algorithm takes the band gain as the fitting target and us...

OBJECTIVE To determine scoliosis curve types using non invasive surface acquisition, without prior knowledge from X-ray data. METHODS Classification of scoliosis deformities according to curve type is used in the clinical management of scoliotic patients. In this work, we propose a robust system that can determine the scoliosis curve type from non invasive acquisition of the 3D back surface o...

In this paper, all of the potential synthesis cases in distributed expert systems (DESs) are identiied based on the relationship between the original evidence sets of solutions, and the types of DESs are classiied based on the relationship of knowledge and available data of expert systems. The innovative ideas are that the relationships among the synthesis cases and the types of DESs are recogn...

OBJECTIVES Widespread implementation of electronic databases has improved the accessibility of plaintext clinical information for supplementary use. Numerous machine learning techniques, such as supervised machine learning approaches or ontology-based approaches, have been employed to obtain useful information from plaintext clinical data. This study proposes an automatic multi-class classifica...

PURPOSE Promoter hypermethylation has been recently proposed as a means for head and neck squamous cell carcinoma (HNSCC) detection in salivary rinses. In a prospective study of a high-risk population, we showed that endothelin receptor type B (EDNRB) promoter methylation in salivary rinses is a useful biomarker for oral cancer and premalignancy. EXPERIMENTAL DESIGN Using that cohort, we eval...

This paper reviews two divergent approaches to the development and application of expert systems in manufacturing and suggests that AI researchers and system designers can more effectively contribute to manufacturing solutions by pursuing high performance design rather than reinforcing traditional technocentric assumptions.

In this research paper,the authors are addressing the problem of algorithms for Wireless LAN for Secured Transmission. This research work also proposes an overview of some of the major attacks that Blue tooth has faced over the years along with some possible solutions. The main aim of this research work is to investigate security features of Bluetooth using Elliptic Curve Cryptography(ECC). The...