Controlling the Application of Knowledge-Based Systems

Artificial intelligence in pharmaceutical product formulation: knowledge-based and expert systems

ABSTRACT:The diverse knowledge levels among first-year mechanical engineering students lead to significant disparities in individual learning. Intelligent tutoring systems (ITS) offer a solution by providing tailored digital one-to-one instruction, bridging knowledge gaps, and equalizing learning outcomes. This thesis develops an ITS for design theory based on a knowledge-based engineering system, presenting an innovative model that integrates key features of ITS and knowledge-based systems. Implemented in a specialized environment, the system’s application and validation demonstrate its ability to meet context-sensitive design teaching requirements and provide adaptive tutoring.

Building an influence diagram in a knowledge-based decision system

Discussion

Intelligent information systems, such as those built using knowledge-based system (KBS) technology, stress the human-computer interface in new ways. Such systems use knowledge as well as lower-level information. The application of KBS technology depends on two aspects of the communication of knowledge (knowledge transfer). First, it depends on the ability of humans to explicate their knowledge in ways that can be incorporated into the computer system. Second, it depends on the ability of the computer to divulge its knowledge to humans in a palatable and understandable form.

To solve the problem of advanced digital manufacturing technology in the practical application, a knowledge engineering technology was introduced into the computer numerical control (CNC) programming. The knowledge acquisition, knowledge representation and reasoning used in CNC programming were researched. The CNC programming system functional architecture of impeller parts based on knowledge based engineering (KBE) was constructed. The structural model of the general knowledge-based system (KBS) was also constructed. The KBS of CNC programming system was established through synthesizing database technology and knowledge base theory. And in the context of corporate needs, based on the knowledge-driven manufacturing platform (i.e. UG CAD/CAM), VC++6.0 and UG/Open, the KBS and UG CAD/CAM were integrated seamlessly and the intelligent CNC programming KBE system for the impeller parts was developed by integrating KBE and UG CAD/CAM system. A method to establish standard process templates was proposed, so as to develop the intelligent CNC programming system in which CNC machining process and process parameters were standardized by using this KBE system. For the impeller parts processing, the method applied in the development of the prototype system is proven to be viable, feasible and practical.

Due to recent advances in knowledge-based systems technology it is suggested that students in a systems development course be given exposure to the concept of designing and implementing knowledge-based systems. The purpose of this paper is to describe the objective, scope, methods and procedures of knowledge-based projects. The first half of the paper introduces the knowledge-based approach and describes the structure and components of such a system. The second half of the paper deals with course design procedures. The scope, topics, project characteristics and experiences pertaining to such a project are covered here. A practical Knowledge-based Systems Development Life Cycle (KSDLC) is also proposed for use in such a course. It is a suitable methodology as it resembles the traditional Systems Development Life Cycle.

Today’s textile-apparel industrial complex is characterized by a multitude of conflicting demands: smaller lot sizes, increased product flexibility, higher product quality and decreasing delivery times. The textile/apparel industry must deploy state-of-the-art manufacturing and information management techniques to operate successfully in such a demanding and highly competitive global market. In this context, the role and scope of mechatronics in textile-apparel production systems are discussed with specific examples. The need for techniques and tools such as information engineering, electronic data interchange and knowledge-based systems technology is established and their relevance to the textile-apparel complex is discussed. An overview of major research endeavors including the development of an enterprise architecture, knowledge-based systems and product data standards is presented. Finally, some topics for further research in areas ranging from distributed design and manufacturing to the development of product data exchange standards are proposed.

This paper explores the integration of a Knowledge-Based Engineering System (KBES) for design heuristics to enhance sustainable engineering education. The primary goal is to equip students with the skills needed to develop sustainable products while comprehending the complexities and multifaceted nature of sustainability. As sustainability is highly context-dependent, the importance of utilizing context-specific knowledge in product development is emphasized. A key question addressed in this study is how digital tools can effectively provide and facilitate the sharing of knowledge critical for sustainability-oriented design. The paper also examines how to build competency in sustainability using design heuristics, which are easy to understand and apply, offering students a practical approach to sustainable problem-solving. By integrating KBE systems with these heuristics, this paper proposes a framework for engineering education that fosters a deeper understanding and actionable skills for developing sustainable products. This approach aims to empower future engineers to create solutions that are not only innovative but also responsible and adaptive to the complex demands of sustainability.

The importance of operators' knowledge in the production of high-quality water and the need for consistent high-level expertise have fueled propositions for the application of computer technology, including knowledge-based expert systems (KBES), as a means of enhancing drinking water treatment operations. With this in mind, the authors have developed CHLOROS, a knowledge-based system which integrates both expert system and hypertext technologies in a WindowsTM environment. Designed as an off-line tool, the system does not directly control operations related to drinking water disinfection, but rather has been intended to assist treatment plant operations personnel. It is believed that CHLOROS will serve as a practical tool for water utilities because it creates a consistent decision-making environment, captures and preserves the expertise of human experts, and reduces the amount of manual effort and time that may be expended by searching through manuals and literature for information that is required to support the choice of control parameters.Key words: knowledge-based systems, expert system, hypertext system, disinfection, chlorination, chloramination.

This work is concerned with the design and construction of a yarn brushing machine to produce and monitor such yarns by means of the application of knowledge-based, computer vision and on-line control systems. Part I describes an investigation into the effects that input yarn properties and changes in machine parameters have on the characteristics of the brushed yarn.

Knowledge-based Systems and Expert Systems, in particular, are expensive to build and difficult to validate and debug because of their complexity and dynamism. Therefore, it is not easy for knowledge engineer and domain expert to identify the gaps and mistakes in knowledge base. Unit testing is unable to cover validation process at all stages, in many cases manual thorough review of decision process is needed. In this paper we spot main approaches to validation and verification issue and describe a component that helps to debug a knowledge base by visualising execution of rules that derive a particular result. This component is developed for Knowledge-based Systems built on Drools Platform1 and we demonstrate application of this component in a knowledge-based engineering system for structural optical design.

This paper describes the application of model-based technology in the area of failure mode effects analysis (FMEA). FMEA involves the repetitive application of engineering expertise, and so would seem to be a promising target for automation through knowledge-based systems (KBS) technology. However, in order to decide what would be the effect of a failure in a sub-system, it is necessary to reason about the structure of the sub-system being investigated and to be able to represent and reason about different facets of the way in which the sub-system works. The difficulty of automating this analysis of failure effects for new designs has meant that, in general, automation of the FMEA task has concentrated on only the clerical aspects of FMEA—helping the human expert to keep track of which possible failures have been analysed. The work described in this paper automates the analysis phase of the FMEA process. This should enable the development of computerized aids for the FMEA engineer which will eliminate much of the tediousness of the task.

Artificial intelligence and networking in integrated building management systems

Integrating knowledge-based systems and databases