• 한국IT서비스학회:학술대회논문집
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• 2005.11a
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• pp.400-407
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• 2005

Project의 Quality, Cost, Delivery의 세 가지 목표를 달성하기 위해서는 프로젝트 Risk의 조기 인식 및 대처는 프로젝트 성공의 가장 중요한 요소가 되고 있다 Project Risk는 1)프로젝트의 이해관계자(고객, 협력회사)간의 재무적, 법률적 Risk [수주 Risk]와 2)프로젝트 수행상의 제품공학, 개발환경, 외부제약조건 등의 Risk [수행 Risk]로 나눌 수 있으며, 수주 Risk는 분석 결과가 수행 Risk의 식별, Monitoring에 직접적으로 반영되어야 한다. 프로젝트 수행 Risk는 조기에 식별하고 정량적/정성적 영향을 분석하여 대응계획을 수립하여 지속적으로 Monitoring함으로서 영향을 최소화할 수 있으므로 Risk를 조기 식별하고 경보할 수 있는 시스템(EWS: Early Warning System)의 구축 운영이 반드시 필요하다. 본문에서는 프로젝트 Risk에 대한 분석 및 대웅방안, 프로젝트관리시스템 및 조기경보체계의 표준, 상호간의 관계에 대하여 SK C&C에서 수립하여 적용중인 실증적인 해법을 제시 하고자 한다.

• Defense and Technology
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• no.1 s.155
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• pp.23-29
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• 1992

효과적인 $C^3I$체계 구축을 위해서는 조기경보/전장감시용 정보수집장비의 보완이 시급하므로 이에 대한 많은 연구개발 투자가 필요하며 조기경보/전장감시 정보의 신속한 처리/전파를 위한 정보처리 기법을 계속 연구 발전시켜 나가야 할 것이다. $C^3I$체계의 운용 능력 목표 수준은 한반도의 자연환경하에서 온도, 습도, 먼지, 곰팡이 및 이동시 충격등 제약조건에 대한 내구성이 충분하고 24시간 계속 운용이 가능하며, 고장시 복구 및 Back-up 기능이 지원 가능하도록 되어야 할 것으로 본다

• Defense and Technology
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• no.10 s.104
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• pp.20-23
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• 1987

• Defense and Technology
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• no.9 s.139
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• pp.6-25
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• 1990

• Defense and Technology
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• no.2 s.180
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• pp.50-65
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• 1994

다층대공방어체계내에서 구역대공방어요소는 대공전(AAW) 원칙의 중요한 부분을 차지하고 있다. 효과적인 구역방어를 위해서는 공격에 대한 조기경보체계가 필수적이다. 이러한 조기 경보는 항공탑재센서로 제공되며, 만약 탐색능력이 낮은 경우에는 방어 능력의 저하를 초래할 것이다.

• Korean Journal of Agricultural and Forest Meteorology
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• v.25 no.3
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• pp.236-244
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• 2023

The purpose of this study was to examine the economic feasibility of providing services according to the nationwide expansion of early warning services. The net present value method, one of the cost-benefit analysis methods, was applied to the analysis. As a benefit item that constituted the net present value, the damage reduction amount using crop insurance data and the willingness to pay for the use of early warning services were used. The cost items included system construction and maintenance costs, and text transmission costs. As a result of the analysis, it was found that the nationwide expansion of early warning services had economic feasibility, and its economic effect varied depending on the level of text message use (10 % to 40 %, 10 %p interval) of participating farmers. In the future, the economic effect of early warning services is expected to increase further due to the increase in the number of farmers participating in early warning services and the increase in crop damage caused by climate change. It is necessary to further enhance the economic effect of early warning services by actively utilizing information delivery means through apps or the web as well as text messages.

• Journal of the Korean Data and Information Science Society
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• v.24 no.2
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• pp.223-233
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• 2013

At local emerging stock markets such as Korea, Hong Kong, Singapore and Taiwan, foreign investors (FI) are recognized as important investment community due to the globalization and deregulation of financial markets. Therefore, it is required to monitor the behavior of FI against a sudden enormous selling stocks for the concerned local governments or private and institutional investors. The main aim of this study is to propose an early warning system (EWS) which purposes issuing a warning signal against the possible massive selling stocks of FI at the market. For this, we suggest machine learning algorithm which predicts the behavior of FI by forecasting future conditions. This study is empirically done for the Korean stock market.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.24 no.2
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• pp.179-185
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• 2020

Recently, in order to improve the performance of the Earthquake Early Warning System (EEWS) and to supplement the effects of earthquake disaster prevention in epicenters or near epicenters, development of on-site EEWS has been attempted. Unlike the national EEWS, which is used for earthquake disaster prevention by using seismic observation networks for earthquake research and observation, on-site EEWS aims at earthquake disaster prevention and therefore requires efficient design and evaluation in terms of performance and cost. At present, Korea lacks the necessary core technologies and operational know-how, including the use of existing EEWS design criteria and evaluation methods for the development of On-Site EEWS as well as EEWS. This study proposes hardware and software design directions and performance evaluation items and methods for seismic data collection, data processing, and analysis for localization of On-Site EEWS based on the seismic accelerometer requirements of the Seismic and Volcanic Disaster Response Act.

• Journal of Internet Computing and Services
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• v.13 no.4
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• pp.95-102
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• 2012

The development of applications for vehicular ad hoc networks (VANETs) has very specific and clear goals such as providing intellectual safe transport systems. An emergency warning technic for public safety is one of the applications which requires an intelligent broadcast mechanism to transmit warning messages quickly and efficiently against the time restriction. The broadcast storm problem causing several packet collisions and extra delay has to be considered to design a broadcast protocol for VANETs, when multiple nodes attempt transmission simultaneously at the access control layer. In this paper, we propose an early intelligent alert broadcasting (EI-CAST) algorithm to resolve effectively the broadcast storm problem and meet time-critical requirement. The proposed algorithm uses not only the early alert technic on the basis of time to collision (TTC) but also the intelligent broadcasting technic on the basis of fuzzy logic, and the performance of the proposed algorithm was compared and evaluated through simulation with the existing broadcasting algorithms. It was demonstrated that the proposed algorithm shows a vehicle can receive the alert message before a collision and have no packet collision when the distance of alert region is less than 4 km.

• Journal of the Korea Society of Computer and Information
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• v.12 no.4
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• pp.201-207
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• 2007

In some manufacturing industries, there are many situation in which the simultaneous monitoring or control of two or more related quality characteristics is necessary. However, monitoring these two or more related quality characteristics independently can be very misleading. When several characteristics of manufactured component are to be monitored simultaneously, multivariate $x^2$ or $T^2$ control chart can be used. In this paper, establishing a early warning system(EWS) using multivariate control charts to analyze early out-of-control signals in melting process with many quality characteristics was presented. This module which we developed to control several characteristics improved efficiency and effectiveness of process control in the melting process.