• Proceedings of the Korea Water Resources Association Conference
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• 2023.05a
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• pp.197-197
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• 2023

본 연구에서는 2018년부터 2021년까지의 국가가뭄정보통계집 자료를 바탕으로 호서 지역 내 농업가뭄 피해 사례들을 심층분석하고, 당시 지원된 농업용수 공급량에 주목하여 실제 용수 공급에 영향을 미친 잠재적 요인들의 특성을 파악하였다. 먼저, 농업가뭄 피해를 가뭄 당시 실제 공급된 농업용수량으로 정의하고, 피해 민감도라는 개념을 새롭게 도입하여 잠재적 영향 요인들과 농업용수 공급량 간의 지역별 연관성을 분석하였다. 본 연구는 농업 환경과 기상 조건 관련 인자들을 잠재적 영향 요인으로 규정하고, 연도별 도시면적당 농경지 면적 비율, 도시인구수 대비 농업종사자 비율, 전체 용수 이용량 대비 농업용수 비율, 월별 강수량, SPI(-3, -6, -9 및 -12)를 대상으로 연구를 수행하였다. 이러한 인자들의 변화에 따른 실제 공급된 농업용수량의 변화 정도를 수치화하여 지역별 피해 민감도를 산정하였다. 이를 위해, 먼저 잠재적 영향 요인과 실제 공급한 농업용수의 전월대비 증감량을 2018년부터 2021년까지 월별로 계산하였으며, 최대·최소 정규화를 통해 0부터 1 사이의 값으로 수치화하였다. 앞서 언급한 월별 증감량의 비율을 바탕으로 4년간의 절대적 수치 변화 정도를 비교·분석하였다. 그 결과, 농업 환경 관련 인자들 중 전체 용수 이용량 대비 농업용수 비율이 상대적으로 피해 민감도가 큰 것으로 나타났으며 기상 조건 관련 인자의 경우, SPI-9에 대한 피해 민감도가 가장 높은 수준임을 확인하였다. 추후, 본 연구에서 제안한 방법을 바탕으로 다양한 요인들에 대한 피해 민감도 산정 결과들이 도출된다면 농업가뭄 피해 시 농업용수 공급의 적절성 여부를 판단하는 데 있어 유용한 정보를 제공할 수 있을 것으로 사료된다.

• Proceedings of the Korea Water Resources Association Conference
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• 2020.06a
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• pp.168-168
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• 2020

This study is to evaluate the drought-related bigdata characteristics published from South Korean by developing crawler. The 5 years (2013 ~ 2017) drought-related posted articles were collected from Korean internet search engine 'NAVER' which contains 13 main and 81 local daily newspapers. During the 5 years period, total 40,219 news articles including 'drought' word were found using crawler. To filter the homonyms liken drought to soccer goal drought in sports, money drought economics, and policy drought in politics often used in South Korea, the quality control was processed and 47.8 % articles were filtered. After, the 20,999 (52.2 %) drought news articles of this study were classified into four categories of water deficit (WD), water security and support (WSS), economic damage and impact (EDI), and environmental and sanitation impact (ESI) with 27, 15, 13, and 18 drought-related keywords in each category. The WD, WSS, EDI, and ESI occupied 41.4 %, 34.5 %, 14.8 %, and 9.3 % respectively. The drought articles were mostly posted in June 2015 and June 2017 with 22.7 % (15,097) and 15.9 % (10,619) respectively. The drought news articles were spatiotemporally compared with SPI (Standardized Precipitation Index) and RDI (Reservoir Drought Index) were calculated. They were classified into administration boundaries of 8 main cities and 9 provinces in South Korea because the drought response works based on local government unit. The space-time clustering between news articles (WD, WSS, EDI, and ESI) and indices (SPI and RDI) were tried how much they have correlation each other. The spatiotemporal clusters detection was applied using SaTScan software (Kulldorff, 2015). The retrospective and prospective cluster analyses were conducted for past and present time to understand how much they are intensive in clusters. The news articles of WD, WSS and EDI had strong clusters in provinces, and ESI in cities.

• Proceedings of the Korea Water Resources Association Conference
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• 2021.06a
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• pp.82-82
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• 2021

전 세계적으로 가뭄은 농업·식량안보·수자원관리·생태계 등 다양한 분야에서 부정적인 영향을 미치고 있다. 일반적으로 가뭄은 강수량의 부족으로 발생하고, 지표수와 지하수의 가용성이 제한됨에 따라 작물생산 및 사회·경제적으로 피해가 발생한다. 이러한 영향은 특정 가뭄 모니터링 및 조기 경보와 관련하여 가뭄 지표를 결정할 때 중요한 고려사항이다. 가뭄을 분석하기 위해서는 가뭄 지표를 적용하여 정확하게 반영하고 나타내는 것이 중요하다. 가뭄의 특성을 객관적으로 정량화하기 어렵기 때문에 다양한 지표와 계산을 통한 가뭄 모니터링 및 분석 기술이 필요하며, 강수량, 토양수분, 증발산량 및 식생과 관련하여 가뭄 지표가 개발되었다. 본 연구에서는 혼합 가뭄 지표 (Drought Indicator Blends) 활용하여 우리나라의 가뭄을 분석하였다. 혼합 가뭄 지표는 NOAA (National Oceanic and Atmospheric Administration)의 기후 예측 센터 (Climate Prediction Center, CPC)에서 여러 가뭄 지수를 단기 또는 장기로 구분하여 통합, 개발되었다. 단기 및 장기 혼합 제품은 PDSI (Palmer Drought Severity Index), Z-Index, SPI (Standardized Precipitation Index)를 결합하여 가뭄을 추정한다. 혼합 가뭄 지표는 해당 지역의 단기 및 장기 가뭄을 이해하는데 유용하게 활용할 수 있으며, 현재까지 미국에서 활발하게 연구가 진행되고 있다. 단기 지표는 비관개 농업, 토양수분 등 강수량에 밀접한 관련이 있는 가뭄과 관련되어 평가하며, 장기 지표의 경우 관개 농업, 지하수위 등 장기간 가뭄과 연관성을 가지고 있다. 단기 및 장기 혼합 가뭄 지표를 우리나라에 적용함으로써 기존 단일 가뭄 지수를 활용한 가뭄 분석 이상으로 다방면에서 효율적인 가뭄 모니터링을 할 수 있을 것이라 판단된다.

• Proceedings of the Korea Water Resources Association Conference
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• 2022.05a
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• pp.141-141
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• 2022

Drought is a global phenomenon that affects almost all landscapes and causes major damages. Due to non-linear nature of contributing factors, drought occurrence and its severity is characterized as stochastic in nature. Early warning of impending drought can aid in the development of drought mitigation strategies and measures. Thus, drought forecasting is crucial in the planning and management of water resource systems. The primary objective of this study is to make improvement is existing drought forecasting techniques. Therefore, we proposed an improved version of Seasonal Autoregressive Integrated Moving Average (SARIMA) model (MD-SARIMA) for reliable drought forecasting with three years lead time. In this study, we selected four watersheds of Han River basin in South Korea to validate the performance of MD-SARIMA model. The meteorological data from 8 rain gauge stations were collected for the period 1973-2016 and converted into watershed scale using Thiessen's polygon method. The Standardized Precipitation Index (SPI) was employed to represent the meteorological drought at seasonal (3-month) time scale. The performance of MD-SARIMA model was compared with existing models such as Seasonal Naive Bayes (SNB) model, Exponential Smoothing (ES) model, Trigonometric seasonality, Box-Cox transformation, ARMA errors, Trend and Seasonal components (TBATS) model, and SARIMA model. The results showed that all the models were able to forecast drought, but the performance of MD-SARIMA was robust then other statistical models with Wilmott Index (WI) = 0.86, Mean Absolute Error (MAE) = 0.66, and Root mean square error (RMSE) = 0.80 for 36 months lead time forecast. The outcomes of this study indicated that the MD-SARIMA model can be utilized for drought forecasting.

• Journal of Korean Institute of Industrial Engineers
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• v.21 no.1
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• pp.17-32
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• 1995

The objective of this study is to develop a general design and performance evaluation model for the system designers in the initial design phase of the integrated automatic manufacturing system based on the RAM(Reliability, Availability and Maintainability) and life cycle cost(LCC). The methodology proposed in this research includes the following two stages. First, a deterministic approach to the solution of optimal work station arrangement for the initial system configuration is considered under the assumption that the system availability is one(no failure and maintenance), and then a stochastic simulation model based on RAM and LCC is developed. Using the results of these two stage simulation, a system performance index(SPI) was developed for the performance evaluation of the proposed system. Also a computer program is developed.

• IEMEK Journal of Embedded Systems and Applications
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• v.17 no.2
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• pp.93-100
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• 2022

In this paper, we propose a machine learning-based method for supporting resource management of IoT software platforms in a multi-modal sensing scenario. We assume that an IoT device installed with a oneM2M-compatible software platform is connected with various sensors such as PIR, sound, dust, ambient light, ultrasonic, accelerometer, through different embedded system interfaces such as general purpose input output (GPIO), I2C, SPI, USB. Based on a collected dataset including CPU usage and user-defined priority, a machine learning model is trained to estimate the level of nice value required to adjust according to the resource usage patterns. The proposed method is validated by comparing with a rule-based control strategy, showing its practical capability in a multi-modal sensing scenario of IoT devices.

• Journal of Korean Society for Quality Management
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• v.31 no.1
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• pp.76-89
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• 2003

Recently, CMM have been recognized as a critical factor to validate the competitiveness of software organizations, even if the organizations have already achieved the ISO9001 certification. Furthermore, the new version of ISO9001:2000 is being required instead of ISO9001:1994. Both CMM and ISO9001 have a common point that they pursuit quality improvement for the organizations processes and products. Therefore, it is important to understand the similarities of specific requirements between the two models in software organizations which attempt to employ both of the models. From this background, this paper compares CMM and ISO9001 by considering the versions in 1994 and 2000 of ISO9001. The results of this research are likely to help software organizations ma]fe a decision for a strategy to adopt CMM and ISO9001.

• Proceedings of the Korea Inteligent Information System Society Conference
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• 2003.05a
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• pp.287-296
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• 2003

Recently, CMM have been recognized as a critical factor to validate the competitiveness of software organizations, even if the organizations have already achieved the ISO9001 certification. Furthermore, the new version of ISO9001:2000 is being required instead of ISO9001:1994. Both CMM and ISO9001 have a common point 1ha t they pursuit quality improvement fur the organizations processes and products. Therefore, it is important to understand the similarities of specific requirements between the two models in software organizations which attempt to employ both of the models. from this background, this paper compares CMM and ISO9001 by considering the versions in 1994 and 2000 of ISO9001. The results of this research are likely to help software organizations make a decision for a strategy to adopt CMM and ISO9001.

• Journal of The Korean Society of Agricultural Engineers
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• v.53 no.6
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• pp.165-170
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• 2011

Recently natural disasters such as the frequency and intensity of drought have been increasing as a result of climate change. This study suggests a drought index, WADI (Water Availability Drought Index), that considers water availability using 6 components (water intake, groundwater level, agricultural reservoir water level, dam inflow, streamflow, and precipitation) using the Z score and data monitoring on a nationwide level. SPI (Standardized Precipitation Index) was applied in coastal area. For the severe droughts of 2001 spring and 2008 autumn, the index was evaluated by comparison with reported damage areas. suggested to combine The spatial concordance rate of WADI in 2001 and 2008 for estimation of the degree of drought severity was 50 % and 24 % compared to the actual recorded data respectively.

• Proceedings of the IEEK Conference
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• 2002.06a
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• pp.287-290
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• 2002

This paper rotates to tile FPGA that is reffered to as the UTOSPI. The design goal of the FPGA is to convert the UTOPIA-3 bus interface to the SPI-3 bus interface, so that the SAR chips on the ATM interface board can be interfaced to the packet processor through this FPGA. We Propose a new architecture that has two Dual Port RAMs and flow control signals. To buffer data, the UTOSPI has a Dual port RAM in the receive direction and the same size of that in the transmit direction. This design has been implemented, compiled, and tested using a Xilinx Virtex-I XCV-300E FPGA.