• Proceedings of the Korean Institute of Intelligent Systems Conference
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• 2007.04a
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• pp.367-371
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• 2007

최근 여러 지역에서 발생되는 지하철 참사 및 대형화재 또는 지하철 역사, 대형 지하상가, 백화점, 지하공간, 대형쇼핑센터, 숙박업소, 공공건물등 대형 다중이용시설 등에서 발생될 수 있는 예측 불가능한 인재, 천재지변에 안전하게 대피하기 위한 수단으로 비상등 및 여러 감지기들이 소방법 개정으로 의무설치 하고 있다. 비상등 및 감지기들은 비상시 위험 감지 및 경고 전파를 위해 사용되는데 방음벽이나 격벽, 경고 거리의 제한으로 인해 경고 전달의 어려움이 있다. 본 논문에서는 무선 데이터 전송기능 및 경고등, 음성전파 기능을 갖는 무선 지능형 화재 감지/경고시스템을 설계하고자 한다.

• Proceedings of the Korea Information Processing Society Conference
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• 2005.11a
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• pp.1031-1034
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• 2005

침입탐지시스템과 같은 기존의 보안 시스템의 가장 큰 단점 중에 하나는 많은 경고로 인하여 정확한 공격 탐지 분석이 매우 힘들다는데 있다. 이는 관리자의 지식과 경험으로 극복될 수 있지만 관리자의 지식과 경험이 많다 할지라도 관리 네트워크의 범위가 클수록 경고 메시지 분석에 대한 어려움이 존재한다. 또한 관리자에게 보고하는 많은 경고 중에 정확하지 않은 경고가 다수 포함되어 있기 때문에 필요하지 않은 경고까지 분석해야하는 부담을 갖는다. 본 논문에서 제시하는 알고리즘은 보안 시스템의 경고와 취약성 분석 데이터의 상관관계를 분석하여 취약성이 존재하지 않는 공격에 대한 경고 메시지를 필터링한다.

• Journal of Korea Society of Industrial Information Systems
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• v.24 no.2
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• pp.25-31
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• 2019

As artificial intelligence technology has been developed rapidly, many researchers who are interested in next-generation vehicles have been studying on applying the artificial intelligence technology to advanced driver assistance systems (ADAS). In this paper, a method of applying deep learning algorithm to the lane departure warning system which is one of the main components of the ADAS was proposed. The performance of the proposed method was evaluated by taking a comparative experiments with the existing algorithm which is based on the line detection using image processing techniques. The experiments were carried out for two different driving situations with image databases for driving on a highway and on the urban streets. The experimental results showed that the proposed system has higher accuracy and precision than the existing method under both situations.

• Journal of Advanced Navigation Technology
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• v.15 no.5
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• pp.879-886
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• 2011

Warning notification system base on mobile communication providers, is a warning information provider which senses the disaster and warning condition, provides the warning message to the entrepreneur and its mobile terminal. In this paper, for protecting our lives and properties, we study on disaster warning system ISO TC233's WG3's Public Warning model, Korea Disaster Forecasting and Warning System, disaster Forecasting and Warning System's role, and Colour-coded Alert etc.

• Journal of Platform Technology
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• v.9 no.3
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• pp.24-35
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• 2021

High-speed military aircraft shall be able to identify and resolve enemy threats or internal component defects with survival equipment and warning systems to minimize casualties. Warning system is divided into visual method with symbolic display and auditory method with communication equipment, which is superior in that they it has a short response time and does not cause pilot confusion by listening to simple messages. Thus, this paper suggested and evaluated effective design methods of voice/tone warning systems for military aircraft based on a life cycle perspective. Since military aircraft is safety-sensitive, priorities and three properties(Inhibitible, Interruptible, and Deactivatable) were applied to each warning to reflect criticality and urgency. As a result, we confirmed that it took 40ms to play the voice warnings, satisfying all requirements through V model-based development and testing, and improving product reliability.

• The Journal of the Acoustical Society of Korea
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• v.17 no.8
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• pp.98-102
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• 1998

본 연구는 인간에게 있어서 정보의 습득으로 가장 쉬운 음성을 이용하여 자동차의 정보를 전달하는 운전자의 지원 시스템의 구현에 관한 내용으로, 제작된 시스템은 여러 가 지 입력 신호(연료량, 엔진 냉각수 온도, 오일 압력, 자동차 속도, 엔진 속도, 문 열림 경고, 안전 벨트 경고, 주차 브레이크 등)에 따라 음성 경고 문장을 발생하게 된다.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.12 no.11
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• pp.2069-2076
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• 2008

In this paper, we develop an electrostatic monitoring system which is composed of an electrostatic prediction system and a warning message transmission system. The electrostatic prediction system in a factory receives the value of electrostatic charge from the electrostatic sensor and predicts the next value by using past data and sends the value to the warning message transmission system through the bluetooth communication. The warning message transmission system gets a warning signal and transmits the warning message to the worker's cellphone through a commercial SMS web by a socket program running on Windows PC in a control room. We propose electrostatic forecasting algorithms based on LSR(least square regression) using weight factors in an electrostatic prediction system. Simulation results show that the algorithm with dynamically variable weight factors is best with 64.69V standard deviation and a warning message transmitted by the warning message transmission system is displayed on cellphone after about 5 seconds.

• Journal of the Korean Institute of Intelligent Systems
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• v.17 no.3
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• pp.310-315
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• 2007

When a mail was given to users, each user's response could be different according to his or her preference. This paper presents a solution for this situation by constructing a u!;or preferred ontology for anti-spam systems. To define an ontology for describing user behaviors, we applied associative classification mining to study preference information of users and their responses to emails. Generated classification rules can be represented in a formal ontology language. A user preferred ontology can explain why mail is decided to be spam or non-spam in a meaningful way. We also suggest a nor rule optimization procedure inspired from logic synthesis to improve comprehensibility and exclude redundant rules.

• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.13 no.6
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• pp.10-24
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• 2014

In-vehicle warning information systems(IWIS) is an effective countermeasure for preventing traffic crashes. It provides drivers with warnng messages about upcoming hazards to draw proper evasive maneuvering. This study developed a methodology for evaluating the effectiveness of IWIS based on an integrated index to identify driver's responsive behavior. The proposed index consists of characteristics of longitudinal and lateral behavior of vehicle maneuverings. Also, a method to assign mixed-weights in the context of multi-criteria decision making framework was adopted to develop the evaluation method. It is expected that the outcome of this study is useful in designing more effective in-vehicle warning information systems.

• Proceedings of the Korea Multimedia Society Conference
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• 2003.05b
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• pp.250-254
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• 2003

최근 몇 년 동안 이루어진 네트워크 및 인터넷 시장의 발전과 더불어 빈번히 발생하는 시스템에 대한 침입을 방어하기 위한 여러 도구들이 개발되어왔다. 이러한 도구들 중 침입탐지시스템은 시스템내의 불법침입을 탐지하는 시스템으로, 침입탐지시스템의 문제점인 과다한 오류경고메시지 발생으로 인하여 침입 판단의 어려움이 따르고 있다. 본 논문에서는 오류경고메시지의 축소를 위한 방법으로 인증된 네트워크 내부에서 발생하는 긍정오류 탐지를 축소하기 위해 각 서버의 취약성을 다수의 판단자에 의한 오탐 확률수치를 입력받아 퍼지기법을 이용하여 취합, 판단자의 불확실성을 감소시킨 필터링룰을 생성 및 적용하여 긍정오류 경고메시지를 축소시킬 수 있는 모델을 설계 및 구현하므로써 탐지의 정확성 향상에 활용할 수 있을 것이다