Thesis (M.App.Sc.) - Carleton University, 2007. / Includes bibliographical references (p. 77-79). Also available in electronic format on the Internet.

Thesis (M.App.Sc.) - Carleton University, 2007. / Includes bibliographical references (p. 150-154). Also available in electronic format on the Internet.

Thesis (M.App.Sc.) - Carleton University, 2007. / Includes bibliographical references (p. 128-131). Also available in electronic format on the Internet.

Dissertation (Ph.D.) -- Worcester Polytechnic Institute. / Keywords: Computer aided manufacturing planning; Object-oriented systems analysis (OSA); Feature; manufacturing resource capability; setup planning; multi-part fixture Includes bibliographical references (p.146-154).

Thesis (M. Sc.)--University of Canterbury, 2006. / Typescript (photocopy). Includes bibliographical references (leaves 101-107). Also available via the World Wide Web.

The present research study will be dedicated to expounding an integrated event-based scheduling model, which model will, in turn, be based on an object-oriented method and a knowledge-based methodology. In order to complete the said model, the integration of vision and scheduling systems has been taken one step further, especially as far as the processing of events, data integration and interface design are concerned. Consequent upon the latter research, three knowledge-based domain schedulers will be expounded as scheduling control mechanisms. For the completion of the integrated scheduling system, scheduling strategies and methods based on general environments have been developed further. A wide knowledge base model will also be introduced. Finally, a case study based on the management and manufacturing environments of Omega Holdings Ltd will be conducted with the help of the proposed new scheduling model. The author hopes that the integrated event-based scheduling system will serve as an effective scheduling system tool for manufacturing and industrial-management environments alike. This thesis comprises three sections, the first of which provides an overview of scheduling literature, including scheduling types, methods and technologies in a manufacturing environment. The first section will also be dedicated to a discussion on current approaches to scheduling and their respective limitations, followed by the introduction of an integrated scheduling model for interactive event-based intelligent scheduling. This will be followed by a detailed function analysis of the model in question, based on its architecture. The second section holds the key to this thesis, as it will be dedicated to a discussion on knowledge-based domain schedulers for interactive scheduling, the implementation of three knowledge-based domain schedulers based on an object-oriented concept and event-based scheduling strategies. Consequent upon this discussion, the model of a wide integrated knowledge base will be developed further. Finally, an interactive event-based intelligent scheduling system will be developed for a dynamic manufacturing environment, whereupon an evaluation of the proposed scheduling tool and system will be effected. A case study undertaken in an existing holding company will then be used to illustrate how to realise interactive event-based intelligent scheduling and how to improve on the management function in a dynamic environment. The thesis will culminate in a summary of the pros and cons of the proposed system. In conclusion, an indication will be given as to possible areas for future research, such as multilayer scheduling in a distributed environment. / Prof. E.M. Ehlers

D.Phil. / The Semantic Web is an extension of the current Web. The goal of the Semantic Web is to give information “well-defined meaning, enabling computers and people to work in better cooperation” (Berners-Lee, Hendler, & Lassila, 2001). While the Semantic Web is not artificial intelligence, it does involve defining information in such a way that it can be more easily “understood” by machines. The Semantic Web builds upon the advantages offered by XML, and introduces languages such as the Resource Description Framework to address some of the shortcomings of XML. It uses ontologies to provide a mechanism for information processing on the Web. Object recognition involves the recognition of unknown objects and is usually divided into two types of recognition: object classification and object identification. Classification refers to the categorization of an unknown object into a known group, while identification is the matching of an unknown object against the memory of a known object. Most object recognition techniques, regardless of the recognition type, involve the extraction of some type of processable data from objects, and the subsequent comparison of the extracted information. The research presented in this thesis investigates the possibility of using the languages developed for the Semantic Web to perform some type of object recognition. It is hoped that by treating object recognition as an information management task, the advantages provided by the information-centric Semantic Web can be used in good stead. The goal of the research is to determine whether ontology-based descriptions can be created, whether such descriptions can be compared, and to what extent the use of the Semantic Web could enhance information sharing in object recognition. In order to investigate these questions, the research defines the Semantic Web Object Recognition Model. The model provides a recognition framework that uses ontologies to create and compare object descriptions. The model also suggests the use of web agents to perform distributed object comparisons across the relevant domain.

No description available.

No description available.

The purpose of this study is to have ReMoTe be commercialized or released as open source at some future date to the general public. ReMoTe will provide an enhanced user interface that will allow users easy to use functions and setup their projects and define their thread and phases. ReMoTe will have the ability to handle muliple projects, and specify any number of phases for any thread.