• Journal of the Korea Society of Computer and Information
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• v.21 no.8
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• pp.49-55
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• 2016

In this study, we proposed the social map system prototype for intelligent crime prevention. For developing the social map system prototype, functional requirements were derived through the analysis of related cases and preceding studies. Derived requirements are providing a variety of map-based safety information, using crowdsourcing data such as SNS, connecting to intelligent CCTV. To satisfy these requirements, the prototype is developed with four main menus: the integrated search menu including social media data, the safety map menu providing a variety of safety and danger information, the community map menu to collect safety and danger information from users, and the CCTV menu providing the link to intelligent CCTV. The social map for intelligent crime prevention in this study is expected to greatly enhance the safety of local community with the provision of prompt response to risk information, safe route, etc. through actual service and user participation.

• The Journal of the Convergence on Culture Technology
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• v.10 no.6
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• pp.561-572
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• 2024

Recent advancements in generative AI technologies, such as ChatGPT, as well as in cloud computing and big data, have brought about rapid changes across all aspects of human life and industry. Amidst these changes, a new civilization called the "Intelligent Information Society" is emerging, highlighting the growing importance of AI education. This study aims to systematically analyze the educational elements necessary for building an Intelligent Information Society and propose an ideal model for AI education. It examines various international and domestic cases of intelligent information education to identify the current status and key issues and to explore potential solutions. Additionally, the study proposes foundational, specialized, applied, and future-oriented AI education models, providing educational methodologies tailored to each level. Based on these models, a strategic education roadmap and policy recommendations are developed to establish a foundation for the harmonious development of humans and technology in the Intelligent Information Society. This study seeks to reaffirm the significance of AI education as a critical element for advancing the Intelligent Information Society and to provide direction for future educational strategies.

• Journal of Intelligence and Information Systems
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• v.7 no.1
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• pp.123-133
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• 2001

Medical domain is very applicable for multi-agent system because medical information systems need much knowledge and close relationship with medical staff, In this paper, we describe design and implementation of an intelligent medical multi-agent platform that provides medical images'information services. This platform supports a physical environment that medical agents can be deployed following FIPA(Foundation for Intelligent Physical Agent)\`s agent management reference model. To use a variety of components on Windows, COM(Common Object Model) interfaces and XML(extensible Markup Language) for encoding ACL(Agent Communication Language) are used for multi-agent communications. Since many kinds of diverse and close relationships with medical staff) are essential, a medical staff is conceptualized as an agent and integrated with multi-agent systems. Also it provides an infrastructure applicable to share necessary knowledge between human agents and software agents in order to make intelligent medical information services easier.

• Journal of the Korean Society for information Management
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• v.9 no.1
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• pp.105-105
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• 1992

The purpose of this study is to review the concept and background of intelligent information system which will be fixed on the next generation's information system and to describe the object orientation system. expert system, and hypermedia which are the core technologies in the design of intelligent information system. Furthermore, intelligent information systems information systems which are developed using these technologies system are described in detail.

• Proceedings of the Korea Society of Information Technology Applications Conference
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• 2005.11a
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• pp.73-76
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• 2005

The advanced information and communication technology gives vehicles another role of the third digital space, merging a physical space with a virtual space in a ubiquitous society. In the ubiquitous environment, the vehicle becomes a sensor node, which has a computing and communication capability in the digital space of wired and wireless network. An intelligent vehicle information system with a remote control and diagnosis is one of the future vehicle systems that we can expect in the ubiquitous environment. However, for the intelligent vehicle system, many issues such as vehicle mobility, in-vehicle communication, service platform and network convergence should be resolved. In this paper, an in-vehicle gateway is presented for an intelligent vehicle information system to make an access to heterogeneous networks. It gives an access to the server systems on the internet via CDMA-based hierarchical module architecture. Some experiments was made to find out how long it takes to communicate between a vehicle's intelligent information system and an external server in the various environment. The results show that the average response time amounts to 776ms at fixec place, 707ms at rural area and 910ms at urban area.

• Proceedings of the KSR Conference
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• 2006.11b
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• pp.1562-1566
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• 2006

The intelligent railway operation information architecture is to provide the railway passengers with the intermodal transportation information service. The purpose of the information architecture is to suggest the information service architecture of the intermodal transportation structurally. First, the architect procedure is to analysis the user requirements and according to these requirements, is to make the description of service requirements. Then secondly, it decides the service items and based of these items, it is to construction of service architecture. Finally, service package provide an accessible, deployment oriented perspective to intelligent railway operation information architecture

• International Journal of Fuzzy Logic and Intelligent Systems
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• v.6 no.1
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• pp.39-46
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• 2006

We propose an global color model based method for tracking motions of multiple human using a networked multiple-camera system in intelligent space as a human-robot coexistent system. An intelligent space is a space where many intelligent devices, such as computers and sensors(color CCD cameras for example), are distributed. Human beings can be a part of intelligent space as well. One of the main goals of intelligent space is to assist humans and to do different services for them. In order to be capable of doing that, intelligent space must be able to do different human related tasks. One of them is to identify and track multiple objects seamlessly. In the environment where many camera modules are distributed on network, it is important to identify object in order to track it, because different cameras may be needed as object moves throughout the space and intelligent space should determine the appropriate one. This paper describes appearance based unknown object tracking with the distributed vision system in intelligent space. First, we discuss how object color information is obtained and how the color appearance based model is constructed from this data. Then, we discuss the global color model based on the local color information. The process of learning within global model and the experimental results are also presented.

• Journal of the Korean Society for information Management
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• v.14 no.2
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• pp.285-301
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• 1997

Massive amount ofinformation is provided for the internet users. Therfore, the users are exposed even to the useless information. In this paper, a Intelligent Web-Agent system is present as a solution for this kind if users inconvinience. This Intelligent Web-Agent system i devised users to search by the keyword about which they get information and commend the sites which have more intensive relation with the examine keyword, judge by the users and the case-base constructed by the Intelligent Web-Agent system itself previously, so the users can access the essential web sites in short time. Intelligent Web-Agent system is compose of a interface-system and a learning system. According to the experiment, using the Intelligent Web-Agent System quicker than the case when not using the Intelligent Web-Agent System.

• Journal of Information Processing Systems
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• v.14 no.6
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• pp.1494-1507
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• 2018

Intelligent human identification using face information has been the research hotspot ranging from Internet of Things (IoT) application, intelligent self-service bank, intelligent surveillance to public safety and intelligent access control. Since 2D face images are usually captured from a long distance in an unconstrained environment, to fully exploit this advantage and make human recognition appropriate for wider intelligent applications with higher security and convenience, the key difficulties here include gray scale change caused by illumination variance, occlusion caused by glasses, hair or scarf, self-occlusion and deformation caused by pose or expression variation. To conquer these, many solutions have been proposed. However, most of them only improve recognition performance under one influence factor, which still cannot meet the real face recognition scenario. In this paper we propose a multi-scale parallel convolutional neural network architecture to extract deep robust facial features with high discriminative ability. Abundant experiments are conducted on CMU-PIE, extended FERET and AR database. And the experiment results show that the proposed algorithm exhibits excellent discriminative ability compared with other existing algorithms.

• 제어로봇시스템학회:학술대회논문집
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• 2005.06a
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• pp.31-36
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• 2005

Intelligent Space (iSpace) is the space where many intelligent devices, such as computers and sensors, are distributed. According to the cooperation of many intelligent devices, the environment comes to have intelligence. In iSpace, the locations of multiple humans and other objects are obtained and tracked by using multiple camera and color-based method. In addition, we describe a context-aware information system which is based on Spatial-Knowledge-Tags (SKT). SKT system enables humans to access information and data by using spatial location of human and stored information in storage. The proposed tracking method is applied to the intelligent environment and its performance is verified by the experiments.