• 제목/요약/키워드: Make-to-forecast

검색결과 218건 처리시간 0.03초

BGRcast: A Disease Forecast Model to Support Decision-making for Chemical Sprays to Control Bacterial Grain Rot of Rice

  • Lee, Yong Hwan;Ko, Sug-Ju;Cha, Kwang-Hong;Park, Eun Woo
    • The Plant Pathology Journal
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    • 제31권4호
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    • pp.350-362
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    • 2015
  • A disease forecast model for bacterial grain rot (BGR) of rice, which is caused by Burkholderia glumae, was developed in this study. The model, which was named 'BGRcast', determined daily conduciveness of weather conditions to epidemic development of BGR and forecasted risk of BGR development. All data that were used to develop and validate the BGRcast model were collected from field observations on disease incidence at Naju, Korea during 1998-2004 and 2010. In this study, we have proposed the environmental conduciveness as a measure of conduciveness of weather conditions for population growth of B. glumae and panicle infection in the field. The BGRcast calculated daily environmental conduciveness, $C_i$, based on daily minimum temperature and daily average relative humidity. With regard to the developmental stages of rice plants, the epidemic development of BGR was divided into three phases, i.e., lag, inoculum build-up and infection phases. Daily average of $C_i$ was calculated for the inoculum build-up phase ($C_{inf}$) and the infection phase ($C_{inc}$). The $C_{inc}$ and $C_{inf}$ were considered environmental conduciveness for the periods of inoculum build-up in association with rice plants and panicle infection during the heading stage, respectively. The BGRcast model was able to forecast actual occurrence of BGR at the probability of 71.4% and its false alarm ratio was 47.6%. With the thresholds of $C_{inc}=0.3$ and $C_{inf}=0.5$, the model was able to provide advisories that could be used to make decisions on whether to spray bactericide at the preand post-heading stage.

An Inventory Management System Based on Intelligent Agents

  • Her, Chul-whoi;Chung, Hwan-mook
    • 한국지능시스템학회논문지
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    • 제11권7호
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    • pp.584-590
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    • 2001
  • An inventory management system of manufacturing industry has a model of different kinds according to the objective and the situation. An inventory management system needs superior system technique in demand forecast, economical efficiency, reliability and application for stable supply of the finished goods, the raw materials and the parts. This paper proposes a demand forecast method based on fuzzy structured neural network, which uses min-operation and trapezoid membership function of fuzzy rules. So we can construct an intelligent inventory management system that make optimized decision-making for forecasting data with expert s opinion in fuzzy environment. The inventory management system uses intelligence agent and it could be adapted to a system environment change in order.

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비정상투자가 재무분석가의 이익예측에 미치는 영향 (The Effect of Abnormal Investment on Analyst Earnings Forecast)

  • 전진호
    • 한국융합학회논문지
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    • 제9권2호
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    • pp.207-215
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    • 2018
  • 본 연구는 유가증권 및 코스닥상장기업을 대상으로 기업의 비정상 투자가 재무분석가의 이익예측과 어떠한 관계가 있는지 실증적으로 분석하였다. 본 연구의 분석기간은 관심변수를 기준으로 2003년부터 2015년까지(종속변수는 2004년부터 2016년까지)이며 재무분석가가 주당이익예측치를 발표한 기업 중 연구조건을 만족하는 최종표본 4,917개 기업/년 자료를 분석대상으로 선정하여 연구를 진행하였다. 실증분석결과는 다음과 같다. 첫째, 비정상 총투자, 비정상 R&D, 비정상 CAPEX 투자가 많을수록 재무분석가의 이익예측정확성은 유의하게 향상되었다. 둘째, 비정상 총투자, 비정상 R&D, 비정상 CAPEX 투자가 많을수록 재무분석가의 이익예측은 비관적인 성향을 갖는 것으로 나타났다. 추가분석을 통해 이러한 결과는 과소투자 집단보다는 주로 과잉투자 집단에 의해 발생되는 결과임이 입증되었다. 본 연구결과는 재무분석가의 이익예측 결정요인으로 비정상투자가 고려된다는 점에서 기존 연구에 추가적인 공헌점이 있을 것으로 기대된다.

단기 강우예측 정보를 이용한 도시하천 유출모의 적용 (Application of Urban Stream Discharge Simulation Using Short-term Rainfall Forecast)

  • 양유빈;임창묵;윤선권
    • 한국농공학회논문집
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    • 제59권2호
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    • pp.69-79
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    • 2017
  • In this study, we developed real-time urban stream discharge forecasting model using short-term rainfall forecasts data simulated by a regional climate model (RCM). The National Centers for Environmental Prediction (NCEP) Climate Forecasting System (CFS) data was used as a boundary condition for the RCM, namely the Global/Regional Integrated Model System(GRIMs)-Regional Model Program (RMP). In addition, we make ensemble (ESB) forecast with different lead time from 1-day to 3-day and its accuracy was validated through temporal correlation coefficient (TCC). The simulated rainfall is compared to observed data, which are automatic weather stations (AWS) data and Tropical Rainfall Measuring Mission (TRMM) Multisatellite Precipitation Analysis (TMPA 3B43; 3 hourly rainfall with $0.25^{\circ}{\times}0.25^{\circ}$ resolution) data over midland of Korea in July 26-29, 2011. Moreover, we evaluated urban rainfall-runoff relationship using Storm Water Management Model (SWMM). Several statistical measures (e.g., percent error of peak, precent error of volume, and time of peak) are used to validate the rainfall-runoff model's performance. The correlation coefficient (CC) and the Nash-Sutcliffe efficiency (NSE) are evaluated. The result shows that the high correlation was lead time (LT) 33-hour, LT 27-hour, and ESB forecasts, and the NSE shows positive values in LT 33-hour, and ESB forecasts. Through this study, it can be expected to utilizing the real-time urban flood alert using short-term weather forecast.

건설기술자 제도변화에 따른 건설기술인력 수급전망 (Supply-Demand Forecast of Engineers according to the Change of Construction Engineers Qualification System)

  • 박환표;신은영
    • 한국건설관리학회논문집
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    • 제10권2호
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    • pp.46-54
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    • 2009
  • 우리나라는 1990년대에 건설발주 물량의 증가로 인한 건설기술자가 매우 부족한 실정이었다. 따라서 정부는 이러한 문제점을 해결하기 위하여 1995년에 인정기술자제도를 도입하게 되었다. 그러나, 2000년 이후 건설기술자의 부족 문제는 해결되었으나, 오히려 건설기술자의 공급과잉으로 인한 새로운 문제가 발생되었다. 따라서, 정부는 2007년도에 기존 인정기술자제도를 폐지하고, 건설기술자 제도는 산업기사, 기사, 기술사 등의 기술자격을 가진 자만 건설활동을 할 수 있는 제도로 변화되었다. 이러한 측면에서 본 연구는 정책변화에 따른 가장 적합한 건설기술자의 수요와 공급예측 모델을 개발하여 2008년부터 2017년까지 수요공급예측을 하는 것이 중요한 사항으로 대두되었다. 따라서, 본 연구는 GDP와 건설시장분석을 기반으로 건설기술자의 수요예측과 공급예측모델을 제안하고, 중장기 수급예측을 전망하였다. 이러한 연구결과는 정책수립자가 건설기술자의 수요와 공급의 수립시 기초자료로 활용할 수 있을 것이다.

항만별 승용차 수출 행태: 군산항.평택항.울산항 (Export Behaviors of the Passenger Cars of Gunsan, Pyeongtaek and Ulsan Port)

  • 모수원
    • 한국항만경제학회지
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    • 제27권2호
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    • pp.27-38
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    • 2011
  • 본고는 우리나라 항만별 승용차 수출행태의 차이를 밝히는데 목적을 둔다. 수출은 미국의 경기와 미국 달러의 일본 엔화표시 환율의 함수로 한다. 경제이론에 의하면 미국 경기의 상승은 우리나라 항만의 승용차 수출의 증가로 나타나며, 엔화 환율의 상승은 엔화 가치하락에 따른 일본 승용차의 가격경쟁력 상승으로 우리의 승용차 수출이 감소한다. 먼저 항만별 수출모형의 안정성을 GPH 기법을 이용하여 모형의 안정성을 확보한 후 오차수정계수를 도출하여 항만간 계수의 차이가 크며, 군산항에서 가장 작고 울산항에서 가장 크다는 것을 밝힌다. OLS를 이용한 모형의 추정을 통해 3개 항만의 수출행태가 경제이론과 일치한다는 것을 보인다. 그리고 예측오차의 분산분해를 통해 항구별 승용차 수출이 경기와 환율에 대해 내생변수라는 것과 역사적 분해를 통해 경기쇼크가 3개 항만 수출변동의 주요 변수라는 것을 밝힌다.

섬유제품 수출의 예측 및 분석에 관한 연구 (A Study on the Forecast and Analysis of Textile Product Exportation)

  • 양리나;김문숙
    • 복식문화연구
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    • 제5권3호
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    • pp.36-46
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    • 1997
  • This study concerns the demand for Korean textile products in the USA, Japan, EU from 1997 to 2000. The conclusion from this study is that demand for Korean textile products in the USA, Japan, and the EU will steadily decline through to the year 2000. And with this conclusions, in order to rejuvenate the textile industry, we have to consolidate the system of production and proceed with the rationalization of management departments in the industry and the reduction of costs and develop new products. Also, the global policy strategy of the textile industry should be strongly promoted on order to make the textile industry a strong industry in the 21 century.

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Modeling Power Battery Supply Chain Based on System Dynamics

  • Chen, Jinhui;Jin, Chanyong
    • 한국정보통신학회:학술대회논문집
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    • 한국정보통신학회 2022년도 춘계학술대회
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    • pp.683-685
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    • 2022
  • By comparing the status quo of recycling of new energy vehicles and waste power batteries at home and abroad, analyze the central relationship between recycling of waste power batteries and the interaction between various factors in China, consider the characteristics of blockchain technology, organically integrate into the reverse recycling network, and quantify the relevant factors. Make use of the constructed model to simulate, forecast, and compare and analyze whether to adopt blockchain technology and, on this basis, analyze the intrinsic relationship between various variables. To explore the different effects brought by changing different countermeasures according to different subjects, and expand it to the factor analysis in the whole reverse recycling supply chain to help the government and operators and enterprises to make more objective and scientific decisions, to provide a particular reference for promoting the recycling of waste power batteries and the development of power battery manufacturing industry in China.

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A Study on Sales depending upon Meat Consumption Class: Focused on Hanwoo meat 1++A Class Consumption Class

  • Yun, Sun-Ja;Kim, Gi-Pyeong
    • 융합경영연구
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    • 제2권2호
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    • pp.10-14
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    • 2014
  • The study investigated consumption patterns and inclination of consumers of Hanwoo meat being more expensive than imported meat and/or beef cattle meat based on the author's business experience at the shop in Budang Seongnam. The author who has managed shop firstly investigated customers' inclination and/or propensity. The author heard specific customer's story at neighboring shopping center, and each customer's buying method, occupation, financial power and apartment size and others, and forecast visiting customer's buying and demand upon part of the beef that customer asks for. The aut hor who sold out limited scope of beef product at limited area thought that he did narrow scope of business. The author would make effort to sell product enough to meet customer's taste by better quality product from point of view of customers. The author would make effort to supply good quality beef products to the customers who relied upon the author's butcher's.

시뮬레이션을 이용한 백라이트유닛의 생산공정예측 (A Simulation on The BLU Assembly Line)

  • 김승남;문제창;임석철
    • 한국경영과학회:학술대회논문집
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    • 한국경영과학회/대한산업공학회 2005년도 춘계공동학술대회 발표논문
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    • pp.1047-1051
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    • 2005
  • Many corporation invest in LCD industry because of The growth of it. Back Light Unit(BLU), LCDs' main part take 20% of its product costs. In this paper we proposed simulation model that is in the process of introducing an equipment, We try to apply a simulation model in the BLU Assembly line by using ARENA. We make BLU Assembly line with various part storage, product strorage. etc. We evaluate Logistics in Assembly Line, and forecast bottleneck and throughput

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