Topic
Object-oriented design
About: Object-oriented design is a research topic. Over the lifetime, 5136 publications have been published within this topic receiving 144108 citations.
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TL;DR: The pessimistic conclusion is reached that, at present, there are some significant gaps in the facilities/support provided to the potential object-oriented designer, particularly in the evaluation and management of the design process; by contrast, there is substantial advances being made in technical design methods.
Abstract: The paper identifies those necessary characteristics that an object-oriented design method ought to exhibit in order to merit that appellation. By examining the key concepts associated with the object-oriented approach, important design issues are identified; these are related to current work in the area of design methodology. A list of criteria for the evaluation of the suitability of any proposed object-oriented design method is constructed, and several current and proposed methods (both conventional and object-oriented) are evaluated in respect of that list. The pessimistic conclusion is reached that, at present, there are some significant gaps in the facilities/support provided to the potential object-oriented designer, particularly in the evaluation and management of the design process; by contrast, there are substantial advances being made in technical design methods.
28 citations
30 May 2013
TL;DR: A novel human-object-object (HOO) interaction affordance learning approach that models the interaction motions between paired objects in a human- object-object way and use the motion models to improve the object recognition reliability.
Abstract: This paper presents a novel human-object-object (HOO) interaction affordance learning approach that models the interaction motions between paired objects in a human-object-object way and use the motion models to improve the object recognition reliability. The innate interaction-affordance knowledge of the paired objects is modeled from a set of labeled training data that contains relative motions of the paired objects, humans actions, and object labels. The learned knowledge of the pair relationship is represented with a Bayesian Network and the trained network is used to improve recognition reliability of the objects.
28 citations
Posted Content•
TL;DR: In this article, an empirical study of the software reuse activity by expert designers in the context of object-oriented design is presented, focusing on the interaction between some design processes, e.g. constructing a problem representation, searching for and evaluating solutions, and reuse processes, i.e. retrieving and using previous solutions.
Abstract: This paper presents an empirical study of the software reuse activity by expert designers in the context of object-oriented design. Our study focuses on the three following aspects of reuse : (1) the interaction between some design processes, e.g. constructing a problem representation, searching for and evaluating solutions, and reuse processes, i.e. retrieving and using previous solutions, (2) the mental processes involved in reuse, e.g. example-based retrieval or bottom-up versus top-down expanding of the solution, and (3) the mental representations constructed throughout the reuse activity, e.g. dynamic versus static representations. Some implications of these results for the specification of software reuse support environments are discussed.
28 citations
15 Jun 2004
TL;DR: This study explores the ability of neural networks in learning through experience when reconstructing an object by estimating it's z-coordinate and shows that neural network is a promising approach for reconstruction and representation of 3D objects.
Abstract: 3D object reconstruction is frequent used in various fields such as product design, engineering, medical and artistic applications. Numerous reconstruction techniques and software were introduced and developed. However, the purpose of this paper is to fully integrate an adaptive artificial neural network (ANN) based method in reconstructing and representing 3D objects. This study explores the ability of neural networks in learning through experience when reconstructing an object by estimating it's z-coordinate. Neural networks' capability in representing most classes of 3D objects used in computer graphics is also proven. Simple affined transformation is applied on different objects using this approach and compared with the real objects. The results show that neural network is a promising approach for reconstruction and representation of 3D objects.
28 citations
08 Oct 2000
TL;DR: The authors describe the object model, and outline plans for implementing a design system that should eventually be possible to provide relevant information to designers via context-sensitive (or 'ecological' or 'intelligent') displays.
Abstract: Design of warehousing and distribution systems is more an art than a science that reflects the cultures of particular design teams. Warehouses are often designed and operated by third party logistics companies with tight margins. Therefore, there is increased pressure to design warehouses that are flexible and adaptable, even while the available information is incomplete. Also, designers lack coherent and explicit models of information and function flow. The primary goal of the research discussed is to lay the foundation for developing such models. Working closely with expert designers, we have identified the key pieces of information and organized them in the form of an object model. Using this model, it should eventually be possible to provide relevant information to designers via context-sensitive (or 'ecological' or 'intelligent') displays. Upon further development, the model will be incorporated into an interactive system to assist in design. The authors describe the object model, and outline plans for implementing a design system.
28 citations