• IE interfaces
• /
• v.11 no.3
• /
• pp.227-240
• /
• 1998

This article presents a model for Intelligent Groupware Systems(IGS). The model is concerned not just with a future framework, but attempts to integrate many technologies into the framework. In order to do so, first of all it identifies essential technologies to improve the performance of the components in the model in terms of task-independent technologies(TIT) and task-dependent technologies(TDT). The former mainly consists of current technologies, which is under progress, being able to affect the groupware performance greatly. On the other hand, the latter is closely related to the knowledge depending on application systems. Fianlly, it presents these potential technologies which will be required for the IGS.

• International Journal of Fuzzy Logic and Intelligent Systems
• /
• v.1 no.1
• /
• pp.13-23
• /
• 2001

Most current machine vision systems for industrial inspection were developed with one specific task in mind. Hence, these systems are inflexible in the sense that they cannot easily be adapted to other applications. In this paper, a general vision system framework has been developed that can be easily adapted to a variety of industrial web inspection problems. The objective of this system is to automatically locate and identify \\\"defects\\\" on the surface of the material being inspected. This framework is designed to be robust, to be flexible, and to be as computationally simple as possible. To assure robustness this framework employs a combined strategy of top-down and bottom-up control, hierarchical defect models, and uncertain reasoning methods. To make this framework flexible, a modular Blackboard framework is employed. To minimize computational complexity the system incorporates a simple multi-thresholding segmentation scheme, a fuzzy logic focus of attention mechanism for scene analysis operations, and a partitioning if knowledge that allows concurrent parallel processing during recognition.cognition.

• 한국HCI학회:학술대회논문집
• /
• 2008.02a
• /
• pp.522-527
• /
• 2008

Socially Intelligent agent is the agent not only having the ability to recognize and to process human affect through learning and adaptation, but also having human-like social intelligence. By making human feel familiar with the computer, the agent is expected to enhance human-computer interaction (HCI) by providing users with the personalized services and interfaces. This paper proposes the framework for socially intelligent agents behaving socially according to the emotions recognized by ID3 algorithm and psychological OCC model. Also, the agent could process with the emotion to make socially intelligent response through three layered affect functioning model. Finally, the proposed agent can be applied for the development and application of socially intelligent agent in wide areas as the agent framework having similar affect and cognitive structure with human being.

• Proceedings of the Korean Institute Of Construction Engineering and Management
• /
• 2008.11a
• /
• pp.733-737
• /
• 2008

Construction supply chain management focused on materials in construction industry plays a critical role which controls the success and failure of a project. For the efficiency of construction supply chain management, the framework which provides project participants with the information originated from whole construction logistics steps without the omission and discontinuation of information flow is required. The new management framework that can support this environment is necessary because of setting up the complicated and distributed environment including logistics information management by intelligent equipment, co-working management with pre-framework legacy system and various devices(UMPC and PDA etc.) as the information confirmation and electrical transmission tool between the project participants different from former construction supply chain management environment while recently developing ubiquitous technologies such as RFID/USN and intelligent equipment to support logistics process. Therefore, the objective of this study is to introduce the concept of SOA (Service Oriented Architecture) as an alternative of effective information integration under the complex and distributed environment and to propose the SOA-based application model for building intelligent construction supply chain management framework.

• The Journal of Korean Institute of Communications and Information Sciences
• /
• v.31 no.9B
• /
• pp.821-828
• /
• 2006

In this paper, we introduce a concrete, practical Ubiquitous Organizational Information (UOI) service framework, providing novice users intelligent and useful services respecting the environment. The UOI framework consists of hierarchical network architecture and is based on distributed sensor networks. To provide a rich array of services, the modular software framework and foundation software is designed. The UOI framework and foundation software is implemented on our hardware prototype. We define three representative UOI services and illustrate each service flow operating in our UOI network. In addition, we describe some details in the implementation of a distributed UOI network on the UOI test-bed.

• Proceedings of the IEEK Conference
• /
• 2006.06a
• /
• pp.765-766
• /
• 2006

The ecology of Physically Embedded Intelligent Systems (PEIS) is a new multi robotic framework conceived by integrating insights from the fields of autonomous robotics and ambient intelligence. A PEIS-Ecology is a network of intelligent robotic devices that can provide the user with assistance, information, communication, and entertainment services. In this paper we introduce the concept of PEIS Ecology, and illustrate a concrete realization of a PEIS-Ecology.

• Proceedings of the KIEE Conference
• /
• 2006.10c
• /
• pp.181-183
• /
• 2006

This paper proposes an intelligent decision framework for update of the environment model using GSPN(generalized stochastic petri nets). The GSPN has several advantages over direct use of the Markov Process. The modeling, analysis, and performance evaluation are conducted on the mathematical basis. By adopting the probabilistic approach, our decision framework helps the robot to decide the time to update the map. The robot navigates autonomously for a long time in dynamic environments. Experimental results show that the proposed scheme is useful for service robots which work semi-permanently and improves dependability of navigation in dynamic environments.

• Proceedings of the Korean Institute of Intelligent Systems Conference
• /
• 2004.04a
• /
• pp.235-240
• /
• 2004

In this paper, we propose a framework for ontological knowledge-based image understanding systems. Ontology composed of concepts can be used as a guide for describing objects from a specific domain of interest and describing relations between objects from different domains The proposed framework consists of four main subparts ⅰ) ontological knowledge bases, ⅱ) primitive feature detectors, ⅲ) concept inference engine, and ⅳ) semantic inference engine. Using ontological knowledge bases on various domains and features extracted from the detectors, concept inference engine infers concepts on regions of interest in an image and semantic inference engine reasons semantic situations between concepts from different domains. We present a outline for ontological knowledge-based image understanding systems and application examples within specific domains such as text recognition and human recognition in order to show the validity of the proposed system.

• The Journal of Korea Robotics Society
• /
• v.5 no.2
• /
• pp.169-176
• /
• 2010

Robotic software has been dramatically complicated as performing intelligent service tasks. These types of robots demand a very powerful software framework to make them easy. Robotic software framework means an integrated software environment that simplifies jobs of robotic software engineer by providing tools, reusable components, and runtime environments. Finally it reduces the project cost. There are lots of works related with them. Among them we focus on five frameworks that are MSRDS, ERSP, OROCOS, OpenRTM, and OPRoS. In terms of intelligent service robot, the study on robotic software frameworks is very important. And outlook on them is also very important in the sense of that the robotic software frameworks should be used to initiate service robot market.

• Journal of the Korean Institute of Intelligent Systems
• /
• v.8 no.2
• /
• pp.128-133
• /
• 1998

In this paper, we present a parallel framework for tracking moving objects. Parallel framework consists largely of two parts:Search Space Reduction(SSR) and Tracking(TR). SSR is further composed of fuzzy clustering and prediction based on Kalman filter. TR is done by boundarymatching using the Hausdorff distance based on distance transform.