This paper deals with a multi-agent-based interval type-2 fuzzy (IT2F) expert systemfor scheduling steel continuous casting. Continuous caster scheduling is a complex and extensiveprocess that needs expert staff. In this study, a distributed multi-agent-based structure is proposed as asolution. The agents used herein can cooperate with each other via various communication protocols.To facilitat...

It is always attractive and challenging to explore the intricate behavior data and uncover people’s motivations, preference and habits, which can greatly benefit many tasks including link prediction, item recommendation, etc. Traditional work usually studies people’s behaviors without time information in a static or discrete manner, assuming the underlying factors stay invariant in a long perio...

To develop the future CAD systems that support functions of design process modeling, an evolutionary design database model is introduced in this research to describe design requirements and design results developed at different design stages from conceptual design to detailed design. In this model, the evolutionary design database is represented by a sequence of worlds corresponding to the desi...

G-Nets are a type of Petri net defined to support modeling of system as a set of independent and loosely-coupled modules. The modular features of G-Nets provide support for incremental design and successive modification, however the G-Net formalism is not fully object-oriented due to a lack of support for inheritance. In this paper, we introduce extensions to G-Nets to support explicit modeling...

1 The high cost of empirical investigation in an operating steel plant makes it prudent to use all available tools in designing, troubleshooting and optimizing the process. Physical modeling, such as using water to simulate molten steel, enables significant insights into the flow behavior of liquid steel processes. The complexity of the continuous casting process and the phenomena which govern ...

Tables are compact and efficient to list or represent complex objects. Due to differences between tables in engineering drawings and other documents, series of new problems need to be considered. In this paper, we propose a Progressively-Normalized Cell Integration (PNCI) method to recognize and understand engineering tables.

One of the unresolved issues in case-based design is how to perform design case adaptation when the constraints are not numerical. In this paper we present a method of case adaptation that employs an evolutionary algorithm. We present a process model for evolutionary design case adaptation, as well as the knowledge it requires and its implications. This model has been implemented for floor plan...

Reuse suggests itself as a natural technique to satisfy the increasing diversity of customers’ demands with mass production efficiency. This paper proposes a case-based evolutionary design (CBED) approach to achieving the goal of mass customization. The essence of the approach lies in a concept of the case class and a product family architecture centered design process model. Issues associated ...

When the projection of a collection of samples onto a subset of basis feature vectors has a Gaussian distribution, those samples have a generalized projective Gaussian distribution (GPGD). GPGDs arise in a variety of medical images as well as some speech recognition problems. We will demonstrate that GPGDs are better represented by continuous Gaussian mixture models (CGMMs) than finite Gaussian...