• Title/Summary/Keyword: 중장기

Search Result 715, Processing Time 0.03 seconds

A Study on the Mid-Long Term Direction for Development of Software Cost Estimation Guidelines (소프트웨어 사업대가기준 중장기 발전 방향에 관한 연구)

  • Kim, Woo-Je;Kwon, Moon-Ju
    • The Journal of Society for e-Business Studies
    • /
    • v.15 no.1
    • /
    • pp.139-155
    • /
    • 2010
  • The purpose of this paper is to develop a framework of software cost estimation guidelines and to derive a mid-long term direction for development of the software cost estimation guidelines. In this paper, all the steps in the software life cycle are researched in the view of cost estimation, and current software cost estimation guidelines and models have been reviewed and analysed first. Second, a plan to separate unit cost per function point from standard procedure in current software cost estimation guidelines is presented to strengthen maket self-regulating function as a mid-long term developmental direction for software cost estimation guidelines. Third, construction of cost repository, making standard procedure for software cost estimation guidelines, development of various kinds of software cost estimation models, and a system for experts on software cost estimation are presented as the prerequisites for the future model framework of software cost estimation guidelines. Finally a roadmap for establishing the future model is proposed.

A Review on the Development Direction of Agricultural Outlook Program Using AHP Approach (AHP기법을 이용한 농업관측사업 중장기 발전방향 탐색)

  • Kim, Yean-Jung;Han, Hye-Sung;Kim, Bae-Sung
    • Journal of the Korea Academia-Industrial cooperation Society
    • /
    • v.16 no.6
    • /
    • pp.3753-3759
    • /
    • 2015
  • The purpose of this study is to analyze the outcomes of experts' survey for the agricultural outlook program, and finally suggests the direction and long-term plan for the improvement of this program. Agents and consultants in the agricultural outlook center were surveyed in order to develop a long-term plan and improvement direction for this agricultural outlook program, and the AHP(Analytic Hierarchy Process) was used for analysis. The survey was carried out on 70 experts in Agricultural Outlook Center and finally, the statistical effective 24 questionnaires were used to analyze. The analysis showed that the most important factor for its long-term improvement plan was the enhancement of timeliness in overall. Particularly, outlook agents weighted more on timeliness for long-term planning, but consultants on accuracy.

A Multi-step Time Series Forecasting Model for Mid-to-Long Term Agricultural Price Prediction

  • Jonghyun, Park;Yeong-Woo, Lim;Do Hyun, Lim;Yunsung, Choi;Hyunchul, Ahn
    • Journal of the Korea Society of Computer and Information
    • /
    • v.28 no.2
    • /
    • pp.201-207
    • /
    • 2023
  • In this paper, we propose an optimal model for mid to long-term price prediction of agricultural products using LGBM, MLP, LSTM, and GRU to compare and analyze the three strategies of the Multi-Step Time Series. The proposed model is designed to find the optimal combination between the models by selecting methods from various angles. Prior agricultural product price prediction studies have mainly adopted traditional econometric models such as ARIMA and LSTM-type models. In contrast, agricultural product price prediction studies related to Multi-Step Time Series were minimal. In this study, the experiment was conducted by dividing it into two periods according to the degree of volatility of agricultural product prices. As a result of the mid-to-long-term price prediction of three strategies, namely direct, hybrid, and multiple outputs, the hybrid approach showed relatively superior performance. This study academically and practically contributes to mid-to-long term daily price prediction by proposing an effective alternative.

Long-term Streamflow Prediction for Integrated Real-time Water Management System (통합실시간 물관리 운영시스템을 위한 장기유량예측)

  • Kang Boosik;Rieu Seung Yup;Ko Ick-Hwan
    • Proceedings of the Korea Water Resources Association Conference
    • /
    • 2005.05b
    • /
    • pp.1450-1454
    • /
    • 2005
  • 수자원관리에 있어서 미래시구간에 대한 유량예측은 수자원시스템운영자에게 있어서 의사결정에 결정적인 영향을 미치는 가장 중요한 요소 중의 하나이다. 효율적 물배분이나 발전 등의 이수활동을 위해서 최소 월단위 이상의 장기유량예측이 필요하며, 이를 위해서는 강우예측이 선행되어야 하는데, 본 연구에서는 통합 실시간 물관리 운영시스템을 위한 중장기 유량예측을 목표로 방법론을 제시하고자 한다. 중장기 유량예측을 수행하는 대표적인 방법 중의 하나는 앙상블 유량예측(ESP; Ensemble Streamflow Prediction) 기법이다. ESP란 현재의 유역상태를 초기조건으로 사용하고 과거의 온도나 강수 등의 시계열앙상블을 모형입력으로 이용해서 강우-유출모형을 통하여 유출량을 예측하는 기법이다. ESP는 결국 현재의 유역상태와 유역에서의 과거강우관측기록, 미래강우예측에 대한 정보를 조합하여 그에 따른 유출앙상블을 생산해 내게 된다. 유출앙상블은 각 앙상블 트레이스가 갖게 되는 가중치에 따라 확률분포를 달리 갖게 되고 경우에 따라서는 유량으로부터 2차적으로 유도되는 변수들의 확률분포로 전이되기도 한다. 기존의 ESP 이론은 미국 NWS의 범주형 확률예보를 근간으로 하고 있어, 이를 국내 환경에 그대로 적용시키기에 어려움이 있어 왔다. 따라서 본 연구에서는 국내 기상청의 월간 강수전망을 이용하고, 이러한 정보의 특성에 맞는 ESP기법을 제시하였다. 더 나아가 중장기 수자원운영을 위한 일단위 월강수시나리오 구성을 위해서 수치예보와 월강수전망을 조합하여 ESP를 사용하는 기법을 제시하였다.

  • PDF

Simulation Based Method for Mid-and-Long Term Technological Forecasting (중장기 기술예측을 위한 시뮬레이션 기반 방법론)

  • Yu, Sung-Yeol
    • The Journal of the Korea Contents Association
    • /
    • v.10 no.1
    • /
    • pp.372-380
    • /
    • 2010
  • In this study, we consider a mid-and-long term technological forecasting method based on simulation technique. We, first, gather information about a point of appearance time of new technologies which will be developed in the future and influence relationship among those technologies by Delphi survey. And then we propose a simulation-based heuristic approach searching for the key technology among new technologies which will be developed to attain a normative objective using the Delphi data. We also provide the range of occurrence time for individual technology and define key technologies in this study in contrast that a expert's estimate to occurrence time is only one point in traditional Delphi survey. The information for key technologies which are detected by this procedure gives priorities of R&D planning and aids the R&D planner or project manager in resource allocation.

Long-Range Water Resources Prediction and Flood Risk Assessment using Climate Information (기후정보 활용 수자원 장기예측 및 중장기 홍수위험도 평가)

  • Yoon, Sunkwon;Choi, Jihyeok;Moon, Young-IL
    • Proceedings of the Korea Water Resources Association Conference
    • /
    • 2018.05a
    • /
    • pp.17-17
    • /
    • 2018
  • 재난발생 위험은 불확실성을 내포하고 있으며, 이러한 불확실성 요인을 줄이고 사전에 소멸시키는 일은 매우 중요한 사항이 될 수 있다. 또한 재난관리 관점에서 그것이 발생했을 때 어떤 식으로 대응할지에 대한 과정이 체계적으로 갖추어져 있어야 하며, 복구 및 재발 방지를 위한 지속적인 노력이 수반될 필요성이 있다. 본 연구에서는 기후정보를 활용한 중장기 수문예측을 실시하고 통합홍수위험평가 시스템 구축을 통한 홍수위험도 분석을 실시하였다. 이를 위하여 우리나라 243개 지자체를 대상으로 홍수관련 위해성, 노출성, 취약성 자료를 수집하여 표준화하였으며, 전문가 Delphi-AHP 설문조사 분석을 통하여 가중치를 적용하고 위험도를 예측 평가하였다. 이러한 중장기 위험 예측 정보는 한 달 또는 수개월 전에 지자체 행정력을 집중 및 분산시키고, 수재해(홍수/가뭄 등) 위험관리 계획 수립이 가능하여 재난관리자에게 유용한 정보로 활용될 수 있을 것이다. 또한 재난의 생애주기(Life Cycle)별 예방, 대비, 대응, 복구 단계에 따라 사전과 사후에 가능한 주요 활동들을 구체화 할 수 있으며, 시간 스케일별 기후예측 정보를 활용한 재난관리 패러다임 전환과 골든타임 확보 등 수자원예측 분야 기술적 진보를 이룰 수 있을 것으로 기대한다. 향후 통계 역학 모형 기반 중 장기 예측 정보의 신뢰도가 향상 된다면 보다 다양한 분야 예측 정보 서비스 및 활용이 가능할 것이다.

  • PDF

A study on the Trend Analysis and Road map Design of the Facilities Disaster and Safety Technology in the Country and Oversea (국내외 인적재난 안전기술개발 동향분석 및 로드맵 수립에 관한 연구)

  • Lee, Tae Shik;An, Jae Woo;Song, Cheol Ho;Seok, Geum Cheol
    • Journal of Korean Society of Disaster and Security
    • /
    • v.6 no.3
    • /
    • pp.49-57
    • /
    • 2013
  • This paper is to show the long-term roadmap by analyzing the development trend for the safety technology of facility disaster in the country and abroad, and it is designed to plan the long term and roadmap in response to change the disaster environment. Recently in the country, it is increasing the needs of the long term roadmap design of the facility disaster research development in the facility disaster, by the repidly of the social and the living and the related governments response's changing. The U.S. is going to develop the disaster responding research by planning the its master plans, including the NRF (National Responing Framwork), the NIMS (National Incident Management System), and its sinarios etc.. Japan is going to develop the research planning in the annual report of the disaster prevention, and we going to do the study projects about the facility disaster area with the NEMA (National Emergency Management Agency) and NDMI (National Disaster Management Institute). This paper is showed to design the long term roadmap of the facility disaster's study development, and to minimize the damage of the man and his property, and to set the study development system of the national facility disaster, and furthering to make the resilient planning in changing of the facility disaster's environment.

Long-term Prediction of Bus Travel Time Using Bus Information System Data (BIS 자료를 이용한 중장기 버스 통행시간 예측)

  • LEE, Jooyoung;Gu, Eunmo;KIM, Hyungjoo;JANG, Kitae
    • Journal of Korean Society of Transportation
    • /
    • v.35 no.4
    • /
    • pp.348-359
    • /
    • 2017
  • Recently, various public transportation activation policies are being implemented in order to mitigate traffic congestion in metropolitan areas. Especially in the metropolitan area, the bus information system has been introduced to provide information on the current location of the bus and the estimated arrival time. However, it is difficult to predict the travel time due to repetitive traffic congestion in buses passing through complex urban areas due to repetitive traffic congestion and bus bunching. The previous bus travel time study has difficulties in providing information on route travel time of bus users and information on long-term travel time due to short-term travel time prediction based on the data-driven method. In this study, the path based long-term bus travel time prediction methodology is studied. For this purpose, the training data is composed of 2015 bus travel information and the 2016 data are composed of verification data. We analyze bus travel information and factors affecting bus travel time were classified into departure time, day of week, and weather factors. These factors were used into clusters with similar patterns using self organizing map. Based on the derived clusters, the reference table for bus travel time by day and departure time for sunny and rainy days were constructed. The accuracy of bus travel time derived from this study was verified using the verification data. It is expected that the prediction algorithm of this paper could overcome the limitation of the existing intuitive and empirical approach, and it is possible to improve bus user satisfaction and to establish flexible public transportation policy by improving prediction accuracy.

A Study on the Research Plan for R&D Long-term Load-map Design in the Facility Disaster on response of the changing Disaster Environment (재난환경변화에 대응한 인적재난 R&D중장기 로드맵 수립 기획연구)

  • Lee, Tae Shik;Seok, Geum Cheol;An, Jae Woo;Song, Cheol Ho;Cheung, Chong Soo;Lee, Young Jae;Cho, Won Cheol
    • Journal of Korean Society of Disaster and Security
    • /
    • v.7 no.1
    • /
    • pp.35-42
    • /
    • 2014
  • This research has been shown the Research Plan for R&D Long-term Load-map Design in the Facility Disaster on response of the changing Disaster Environment, Showing the Strategy for the extending investment method of the technical development and related on that the advanced nation's technical level gap is minimized in the same area, Designing for the business' high-level, long-term load-map and the core driving strategy of the safety technology development business in the facility disaster, RFP Documentation on the core driving Business and the detailed driving Issue. This research has been resulted the three lists, trend analysis and Vision of the Technology Research Development (R&D) of the Safety Technology Area in domestic and foreign, the Responding Technology Predict and the Extended Research Strategy of the Next Generation Safety Technology in the facility Disaster, long-mid Term Road-Map of the Safety Technology in the facility Disaster, finally the Action Issue's RFP of the Safety Technology in the facility Disaster.