• Proceedings of the Korea Information Processing Society Conference
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• 2013.05a
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• pp.262-264
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• 2013

본 본문에서는 교통사고와 자살에 이어 사고 발생률이 높은 낙상사고에 대해 영상감지기기를 이용한 신속한 응급처치를 하기 위해 기존의 지능형 영상감지 시스템을 조사 및 분석하고 이를 토대로 낙상사고 시나리오 분석 및 상황코드를 정의하여 낙상사고인식 시스템을 설계하였다.

• The Transactions of the Korea Information Processing Society
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• v.13 no.3
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• pp.111-121
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• 2024

Recently, thanks to the development of artificial intelligence technologies such as image recognition, research on unmanned aerial vehicles is being actively conducted. In particular, related research is increasing in the field of military drones, which costs a lot to foster professional pilot personnel, and one of them is the study of an intelligent framework for autonomous mission performance of reconnaissance drones. In this study, we tried to design an intelligent framework for unmanned aerial vehicles using the methodology of designing an intelligent framework for service robots. For the autonomous mission performance of unmanned aerial vehicles, the intelligent framework and unmanned aerial vehicle module must be smoothly linked. However, it was difficult to provide interworking for drones using periodic message protocols with model-based interfaces of intelligent frameworks for existing service robots. First, the message model lacked expressive power for periodic message protocols, followed by the problem that interoperability of asynchronous data exchange methods of periodic message protocols and intelligent frameworks was not provided. To solve this problem, this paper proposes a message model extension method for message periodic description to secure the model's expressive power for the periodic message model, and proposes periodic and asynchronous data exchange methods using the extended model to provide interoperability of different data exchange methods.

• Journal of the Korea Society of Computer and Information
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• v.15 no.10
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• pp.191-200
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• 2010

The "intelligent internet power outlets" realized in this study use Internet environment to connect electrical and electronic products to the Net as well as to enable remote monitoring and control. They also have temperature and light sensors, and even offer scheduling options by means of a universal calendar run by an inner real-time timer. Furthermore, they control 4 outlets handling 4 external input conditions and infrared remote control with easy-to-use functions for home automation control. The user interface is equipped with an embedded Web server and UDP protocol handler, and which also allows special control programs be used with the Web browser. Thus, installing this real-time power control function with optimal scheduling and various communication functions will provide you with energy-efficient power outlets outfitted with the increasingly popular "standby power" electric power efficiency.

• Proceedings of the Korea Information Processing Society Conference
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• 2009.04a
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• pp.31-34
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• 2009

유비쿼터스 환경에서 상황인지 능력을 가진 지능적 컴퓨팅 개체들 중 사람에게 의존적이지 않고 독립적으로 행동할 수 있는 개체는 유비쿼터스 로봇으로 볼 수 있다. 이러한 로봇은 최근 상호협력 함으로서 보다 최적화된 서비스를 제공하는 연구가 진행되고 있으며, 또한 다수의 로봇이 포함된 환경일 때는 특정한 작업을 수행하기 위하여 특정 로봇의 선별에 관한 연구가 진행 중이다. 본 논문에서는 유비쿼터스 환경에서 서로 다른 기능과 구조를 가지고 있는 지능형 로봇들이 협력하여 특수한 상황이나 임무를 그룹으로 대처할 수 있는 로봇 그룹핑을 설계하고 이를 구현한 결과에 대하여 기술한다. 다수의 로봇 중에서 특정 임무수행을 위한 로봇의 선별 알고리즘은 Entropy를 이용하여 결정 트리를 생성하였다. 또한 Grouping을 위한 Group Layer를 설계하여 구현하였다.

• The Journal of Korean Association of Computer Education
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• v.7 no.6
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• pp.77-84
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• 2004

This study proposed the agent system for educational information sharing using bookmark. In order to search and share the educational information effectively, we designed DAML+OIL-typed bookmark information. Proposed system in this study had the P2P type based on Client-Server type. We implemented the bookmark agent that has the intelligent characteristics, that is, automatic categorization of peers and documents, autonomous communication between agents using DAML, and delicate information searching using the ontology dictionary in Semantic Web environment. Hereafter, this study will contribute to activate sharing and searching educational information as well as proposed system will offer the important technologies for SCORM-based e-learning environment.

• Journal of the Korean Institute of Intelligent Systems
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• v.10 no.4
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• pp.357-367
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• 2000

A new robust load-frequency control methodology is proposed for nonlinear power systems with valve position limits of the governor in the presence of parametric uncertaines. The TSK fuzzy model is adopted and formulated for fuzzy modeling of the nonlinear power system. A sufficient condition of the robust stabilitry is presented in the sense of lyapunov for the TSK model with parametric uncertainties. The intekkigent digital redesign technique for the uncertain power systems is also studied. The effectiveness of the robust digital fuzzy controller disign mothod is demonstrated through a numerical simulation.

• Journal of the Korea Society of Computer and Information
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• v.15 no.10
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• pp.147-156
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• 2010

There are some of the studies on sensor middleware. However the standard middleware has not yet been defined. Especially, this paper focuses on the processing an intelligent service of the main functions of middleware. Several applications in the sensor network environment support not only monitoring services, but also sensor-based context-awareness and intelligent services based on sensors. However, the previous studies about USN middleware only mentioned the need for intelligent service and did not discuss the architecture and method for supporting the intelligent service in detail. Therefore this paper designs a USN middleware for providing intelligent services and proposes the method for processing the services. For this purpose, this paper proposes the Sensor-Service ontology to define the concept of services and sensors for USN applications and the relationship between them. The Sensor-Service ontology is used to infer high-level information from low-level information. To apply a variety of environmental context to intelligent services, the paper uses the rule-based reasoning. This paper implements the proposed intelligent service middleware as a prototype and then shows that the middleware can be used for a variety of USN applications through the performance evaluation.

• The Journal of Korean Association of Computer Education
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• v.9 no.5
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• pp.31-39
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• 2006

The change into the knowledge based information society requires a transformation of educational paradigm. Accordingly, intelligent learning and distance education are attracting a fair amount of attention. To apply the instructional learning method in this field, we need to consider a individualization of learning, as it were, abstraction of fact and path through learning, which is based on learner's traits, this focus entails a argument for individualized reasoning strategy. Therefore, in this paper, we design a learner's cognitive union, which is based on X-Neuronet(eXtended Neuronet), represent learner's hierarchical knowledge is able to self-learn, and grows adaptive union by proprietor. Additionally, we propose a individualized reasoning strategy, which relies upon learner's cognitive union, and verify the validity.

• Journal of the Korea Society of Computer and Information
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• v.11 no.5 s.43
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• pp.183-193
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• 2006

This paper suggests a service model which uses a wireless sensor network in home network environment. The sensor network consists of fixed sensor nodes and user identification nodes which is attached to each user. With the input information of the user preference profile and the collected data from the sensor nodes, the database is constructed as a context information and analyzed by a home server to provide a service that establishes and controls automatically home appliances according to each user's preference. The proposed service model is implemented and tested on a Linux server with MySQL database and sensor nodes on TinyOS.

• Proceedings of the Korean Society of Computer Information Conference
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• 2010.07a
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• pp.435-438
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• 2010

오늘날 많은 연구자들은 자율적 인간형 로봇 (Autonomous symbiotic human-robot)을 보조하기 위한 지식체계로 온톨로지의 개념을 사용한다. 이러한 연구는 룰 기반의 추론시스템을 지원하기 위해 온톨로지를 저장하는 데이터베이스 스키마를 설계하는데 초점을 맞추고 있다. 이러한 연구 뿐만 아니라 온톨로지 개념을 사용하는 가장 중요한 목적 중에 하나는 상황 추론이다. 이러한 관점에서 본 논문은 로봇이라는 환경에서 좀 더 지능적인 상황 추론 서비스를 제공하기 위해, 5W1H 기반의 로봇 지능 저장소라 불리는 로봇 메모리 저장소를 설계하는데 초점을 두고 있다. 기존 연구는 체계적이고 의미론적 5W1H를 고려하지 않거나 5W1H와 다른 개념 사이의 연광성의 결여에 많은 문제점을 가지고 있으며 이를 해결하기 위해 본 논문에서는 상황, 목적, 공간, 특징, 인간 그리고 5W1H의 온톨로지 지식을 저장할 수 있는 개념적인 모델인 로봇 메모리 모델을 설계한다. 또한 본 논문에서는 상황 추론을 지원하기 위해 로봇의 인스턴스 정보라고 불리는 자전적 기억 (Episodic Memory)를 효과적으로 저장하기 위한 5W1H 모델을 정의하며 이러한 모델을 물리적으로 저장하기 위한 관계형 데이터베이스 기반의 EventsEpisodicRBS를 설계한다. 결과적으로 이러한 연구를 통해서 자율적 인간형 로봇 환경에서 로봇이 지능적 서비스 제공의 핵심 모듈인 상황 추론을 지원하는데 큰 기여를 할 수 있는 하부 시스템으로서의 의미를 가질 수 있다.