Myon-Woong Park

Generation of Modified Cutting Condition Using Neural Network for an Operation Planning System

Abstract For the rational scheduling of production in descrete machining shop, standard time needs to be estimated correctly. The estimation depends on the accuracy of cutting condition. Machinists usually make modifications to recommended cutting conditions suggested by process planner in order to satisfy requirements for individual operation. The systematization of the modification procedure by using neural network methodology is proposed in this paper. Also, other key functions of the operation planning system for prismatic components which includes the module for cutting condition are briefly described. The results of operation planning are demonstrated with an example part.

Adaptive Information Provisioning in an Agent-Based Virtual Organization- Preliminary Considerations

In this note we consider design of a information provisioning subsystem for an agent-based virtual organization. Flexible delivery of information is based on matching of ontologically demarcated resource profiles, work contexts, and domain specific knowledge.

Semantic relevance measure between resources based on a graph structure

Upon developing an information system, establishing an effective information retrieval method is the main problem along with the management of the information. With ontologies, the semantic structure of knowledge can be represented and the resources can be managed along with their context information. Observing that within this knowledge space, resources are not isolated but connected to each other by various types of relations, we believe that utilising those relations can aid information provisioning. In this paper, we explore the concept of the semantic relevance between resources and the semantic structure of a knowledge space, and present a relevance measuring algorithm between resources based on a graph structure, with two implementation examples.

Integration methodology for feature-based modeling and recognition

Abstract This paper presents an integration method that constructs a feature model either by inserting new features or by recognizing features from an existing geometric model. This integration is made possible by keeping a feature model data structure that is identical whether constructed by feature insertion or recognition. This approach overcomes the representational mismatch between the procedural feature-based modeling framework and the feature recognition framework. The integrated framework has been implemented as a CADCAM system for mould die manufacturing that can interactively modify the geometric model by deleting recognized features.

Adaptive information provisioning in an agent-based virtual organization: ontologies in the system

In this paper we consider utilization of ontologies in an agentbased virtual organization. Specifically, in the system flexible delivery of information is to be based on matching of ontologically demarcated resource profiles, work context(s), and domain specific knowledge. In this paper we introduce basic ontologies and their applications.

Incremental Supervised Learning of Cutting Conditons Using the Fuzzy ARTMAP Neural Network

Abstract As a part of an effort to systematize operation planning for cutting processes, the fuzzy ARTMAP neural network has been applied to model the process of selecting cutting conditions and subsequently to learn cutting conditions for training the model. The fuzzy ARTMAP neural network is capable of incremental supervised learning, which enables the model to be reinforced continually and efficiently. In addition, a new algorithm called the replacement algorithm is proposed. When new cutting conditions that are more effective for a certain circumstance are obtained, the proposed algorithm deletes the old information learned, and then makes the network learn the better ones. Examples of decisions of cutting conditions using the fuzzy ARTMAP neural network and the replacement algorithm are provided and discussed

Measuring Semantic Closeness of Ontologically Demarcated Resources

In our work, an agent-based system supporting workers in an organization is centered around utilization of ontologically demarcated data. In this system, ontological matchmaking, understood as a way of establishing closeness between resources, is one of key functionalities. Specifi- cally, it is used to autonomously provide recommendations to the user, who is represented by her/his personal agent. These recommendations specify, which among available resources are relevant/of interest to the worker. In this paper, we discuss our approach to measuring semantic closeness between ontologically demarcated information objects, while a Duty Trip Support application is used as a case study. General description of the algorithm is followed by a recommendation example based on support for a worker who is seeking advice in planning a duty trip.

On Human Resource Adaptability in an Agent-Based Virtual Organization

This paper discusses subsystem responsible for providing human resource adaptation through software-supported training in an agent-based virtual organization. Attention is focused on the requirements, functionalities and components of this subsystem and its interactions with other parts of the system.

On Resource Profiling and Matching in an Agent-Based Virtual Organization

In our work we are designing agent based support for workers in a virtual organization. In the system under development, all resources are to be ontologically demarcated and utilized through semantically- driven information processing techniques. This paper contains preliminary considerations concerning resource profiling and ontological matching methods which we intend to utilize within the system. Two applications that we are currently developing are used to illustrate the proposed approach.

Ontological matchmaking in a Duty Trip Support application in a virtual organization

In our work, an agent-based system supporting workers in fulfilling their roles in a virtual organization has as its centerpiece ontologically demarcated data. In such system, ontological matchmaking is one of key functionalities in provisioning of personalized information. Here, we discuss how matchmaking will be facilitated in a duty trip support application. Due to the nature of the application, particular attention is paid to the geospatial data processing.