• Proceedings of the Korea Water Resources Association Conference
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• 2011.05a
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• pp.456-456
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• 2011

국내에서는 1999년부터 국가수자원관리종합정보시스템(WAMIS) 구축 및 운영을 통해 물관리정보화사업을 추진하고 있으며 기초정보분석 중심에서 수자원 계획 수립과 정책 결정을 지원할 수 있는 시스템으로 확대하여 대국민 수자원 정보 제공과 홍보를 활성화하려고 노력하고 있다. 하지만 지금까지 국내에서는 수자원 현황을 평가하기 위해 상수도보급율, 하천개수율 등을 이용하여 수자원의 단편적인 분야만을 평가하여 왔으며 이들 개별지표들만으로 국내 수자원 상황에 대해 국민들이 체감하는데 한계가 있어 이들 사업의 성과를 지수화하여 수자원 정책과 사업의 효과를 국민들에게 적극적으로 홍보할 필요가 있다. 이를 지원하기 위해 2007년부터 2009년까지 수자원 각 분야별 수자원계획수립 업무지원체계를 구축하였으며 수자원 현황 평가를 위해 분야별 평가지수를 개발하고 수자원 통합지수를 선정하여 중권역별로 산정한 바 있다(건설교통부, 2007; 국토해양부, 2008, 2009). 보다 합리적인 수자원 평가를 위해서는 분야별(물이용, 치수, 하천환경) 평가 지수의 공간적 범위 확대 및 세부지표를 추가 고려함으로써 과거에서부터 현재까지의 분야별 변화 패턴을 파악해야 한다. 이를 통해 수자원 관련 정책 및 사업의 성과를 평가하고 구축된 기초자료 및 분석정보를 제공해 줄 수 있는 도구의 개발이 무엇보다 중요하다고 하겠다. 따라서 본 연구에서는 기 개발된 분야별 평가지수 산정 결과와 분야별 현황과의 비교 분석을 통해 지수의 현장 적용성을 검토함으로써 기 개발된 지표의 취약점 및 한계점을 제시하였다. 보다 합리적이고 타당한 분야별 평가를 위해 세부지표를 추가로 선정하였으며 선정된 분야별 세부지표를 PSR 구성체계에 맞추어 구성하였다. 또한 분야별 현황 및 특성을 평가할 수 있는 분야별 평가지수를 개발하였으며 물이용 특성을 평가할 수 있는 지수를 '물이용안전성지수', 치수 특성을 평가할 수 있는 지수를 '홍수안전성지수', 하천환경 특성을 평가할 수 있는 지수를 '하천환경건강성지수'라 명명하였다. 또한 분야별 평가지수를 통합하여 수자원 현황을 평가하고 관리할 수 있는 수자원 통합지수인 '물만족지수'를 개발하여 제시하였다. 분야별 평가지수를 구성하는 각 세부지표의 특성을 파악하여 지표 산정 범위를 점, 선, 면으로 확대하여 제시하였으며 세분화된 공간단위별로 기초자료를 조사, 수집하여 시계열 DB를 구축하였다. 개발된 분야별 평가지수 및 물만족지수를 연도별 표준유역별로 구축된 DB를 이용하여 산정하고 비교 분석하였으며 상대적인 분야별 안전성 및 건강성을 평가하여 지수의 적용성을 검토하였다. 지표 관련 기초자료 및 분석을 통해 생성된 정보자료는 수자원정책 수립과정에서 매우 유용한 정보를 제공해 줌으로써 정책결정을 지원할 수 있고, 일반인과 관련 전문가들에게 수자원 관련 다양한 정보를 제공할 수 있다.

• Proceedings of the Korea Water Resources Association Conference
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• 2017.05a
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• pp.486-490
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• 2017

도심지에서의 침수피해는 이상홍수 및 국지성 호우 시 우수관거 시설기준 미달, 펌프장 등 배수시설이 설치되지 않아 하천의 계획홍수위보다 제내지의 지반고가 낮은 저지대 지역에서 많이 발생하고 있다. 특히, 내수침수의 경우는 외수에 따른 범람보다는 국민의 재산과 인명피해에 직접적인 영향을 미치므로 침수피해 위험도가 높은 지역의 주민에게 그 지역의 침수빈도와 범위를 인지시키고 사전대응 능력을 향상시킬 필요가 있다. 따라서 연구의 목적으로 매년 피해가 발생한 이력이 있는 위험지구에 대해 전국단위 시군구별 침수피해 지도를 작성하여 침수심 산정과 피해액 예측할 수 있는 기초자료로 활용하고, 주민들의 신속한 대처를 통해 그들의 생명과 재산을 보호하여 재난 안전 국가 이미지 제고에 기여하고자 한다. 본 연구에서는 도심지 유출모형인 XP-SWMM을 활용하여 내수재해 위험요인에 대한 전국을 해석하는 것에 한계가 있어 풍수해저감종합계획에 수록된 XP-SWMM모의 분석 결과 값을 활용하고자 하였다. 기 수립된 전국 풍수해저감종합계획의 과거 피해 자료를 바탕으로 이상 집중호우나 태풍의 내습 시 풍수해 피해 발생 가능성이 제일 높은 지역을 연구범위 대상지역으로 선정하였다. 그 중 풍수해의 주요 원인으로서 태풍, 집중호우 및 해일로 인한 피해발생 빈도가 높은 지역이면서 하천재해 및 내수침수 피해가 많은 경기도 동두천시를 연구대상 지역으로 선정하였으며, 대상지 유역 현황과 지형정보 및 빈도별 침수심을 조사하였다. 수록된 내용에 따르면 경기도 동두천시는 우수관망의 밀도가 높은 4개 위험지구를 내수재해 발생가능성 지역으로 선정하여 10년, 20년, 30년, 50년, 100년, 200년 6개 빈도에 대해 XP-SWMM 모의를 실시하였다. 이와 같이 수록된 각 빈도에 대한 모의 결과 값을 GIS기술을 이용하여 디지털화 하고 부가적인 분석을 위한 GIS데이터화 하는 내삽법을 선정하여 침수면적 및 침수심을 산출하였다. 그러나 면적비교를 통해 모의 결과 값을 디지털화 하는 과정에서 많은 오차가 발생되는 것을 확인하였고, 이를 보완하기 위해 좌표보정 자동화 프로그램을 개발하여 이러한 문제점을 제거하여 신뢰도를 향상시켰다. 이렇게 계산된 연구 대상지역의 침수심과 침수면적을 활용하여 지도제작 표준 지침서 및 가이드라인을 제시하여 한국형 호우피해 지도제작 기술개발에 기여하고, 비구조적 대책으로서 이상홍수에 대한 위험도를 파악하여 지역별 도심침수 방지를 위한 대비체계를 구축하는 등 위험지역에 대한 사전분석 및 활용에 기초자료로 도움이 되고자 한다.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2009.05a
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• pp.253-256
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• 2009

This paper describes a core generator (FFT_Core_Gen) which generates Verilog HDL models of 8 different FFT/IFFT cores with $N=64{\times}2^k$($0{\leq}k{\leq}7$ for OFDM-based communication systems. The generated FFT/IFFT cores are based on in-place single memory architecture, and use a hybrid structure of radix-4 and radix-2 DIF algorithm to accommodate various FFT lengths. To achieve both memory reduction and the improved SQNR, a conditional scaling technique is adopted, which conditionally scales the intermediate results of each computational stage, and the internal data and twiddle factor has 14 bits. The generated FFT/IFFT cores have the SQNR of 58-dB for N=8,192 and 63-dB for N=64. The cores synthesized with a $0.35-{\mu}m$ CMOS standard cell library can operate with 75-MHz@3.3-V, and a 8,192-point FFT can be computed in $762.7-{\mu}s$, thus the cores satisfy the specifications of wireless LAN, DMB, and DVB systems.

• Journal of Korean Society of Disaster and Security
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• v.14 no.2
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• pp.1-11
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• 2021

Recently, in Korea, the risk of meteorological disasters is increasing due to climate change, and the damage caused by rainfall is being emphasized continuously. Although the current weather forecast provides quantitative rainfall, there are several difficulties in predicting the extent of damage. Therefore, in order to understand the impact of damage, the threshold rainfall for each watershed is required. The damage caused by rainfall occurs differently by region, and there are limitations in the analysis considering the characteristic factors of each watershed. In addition, whenever rainfall comes, the analysis of rainfall-runoff through the hydrological model consumes a lot of time and is often analyzed using only simple rainfall data. This study used GIS data and calculated the threshold rainfall from the threshold runoff causing flooding by coupling two hydrologic models. The calculation result was verified by comparing it with the actual case, and it was analyzed that damage occurred in the dangerous area in general. In the future, through this study, it will be possible to prepare for flood risk areas in advance, and it is expected that the accuracy will increase if machine learning analysis methods are added.

• Journal of Korean Society of Forest Science
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• v.110 no.4
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• pp.479-495
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• 2021

To improve on the efficient management of forest resources, it is necessary to create a forest soil map, which represents a comprehensive database of forest lands. Although a 1:25,000 scale forest site map has been used in Korea, the need for a large-scale forest soil map with high precision and information on forest lands that is specialized for individual purposes has been identified. Moreover, to keep pace with the advancement in forest management and transition to a digital society, it is essential to develop a method for constructing new forest soil maps that can diversify its use. Therefore, this paper presented a developmental process and used a 1:5,000 scale forest soil map to propose future directions. National maps showing the soil type, depth, and texture were produced based on the survey and analysis of forest soils, followed by the Forest Land Soil Map (1:5,000) Production Standard Manual. Alternatively, forest soil map data were the basis on which various other maps that can be used to prevent and predict forest disasters and evaluate environmental capacities were developed. Accordingly, ways to provide appropriate information to achieve the national forest plan, secure forestry big data, and accomplish sustainable forest management that corresponds to the national development plan are proposed based on results from the current study.

• Korean Journal of Breeding Science
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• v.50 no.4
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• pp.510-515
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• 2018

Hwangmichal, a yellow waxy corn hybrid, is a single cross hybrid developed in 2014. This hybrid was created by crossing the seed parent KY30 and pollen parent KY9. Hwangmichal has yellow kernels with a conico-cylindrical ear shape. The days to silking of Hwangmichal were similar to that of Ilmichal, a check hybrid. The ear height ratio of Hwangmichal was 50%, which was lower than that of Ilmichal, and its number of tillers was less than that of Ilmichal. The ear size of Hwangmichal was smaller than that of Ilmichal and the kernel set ratio was 89%. Its sensory evaluation was better than that of Ilmichal. The carotenoid content of Hwangmichal was $32.2{\mu}g/g$, which was much higher than that of Ilmichal. Lodging resistance of Hwangmichal was better than that of Ilmichal. Although the number of fresh ears of Hwangmichal was more than that of Ilmichal, the weight of fresh ears was lower than that of Ilmichal. The flowering period of its parent lines was well matched and seed production was 3:1 at a planting density of parent lines of more than 2:1. It is adaptable to the whole country except for Jeju-do. The plant variety protection right of Hwangmichal was registered in June 2017, and its grant number is 6728.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.19 no.11
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• pp.126-136
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• 2018

The purpose of this study was to develop a severity-adjustment model for predicting mortality in acute stroke patients using machine learning. Using the Korean National Hospital Discharge In-depth Injury Survey from 2006 to 2015, the study population with disease code I60-I63 (KCD 7) were extracted for further analysis. Three tools were used for the severity-adjustment of comorbidity: the Charlson Comorbidity Index (CCI), the Elixhauser comorbidity index (ECI), and the Clinical Classification Software (CCS). The severity-adjustment models for mortality prediction in patients with acute stroke were developed using logistic regression, decision tree, neural network, and support vector machine methods. The most common comorbid disease in stroke patients were hypertension, uncomplicated (43.8%) in the ECI, and essential hypertension (43.9%) in the CCS. Among the CCI, ECI, and CCS, CCS had the highest AUC value. CCS was confirmed as the best severity correction tool. In addition, the AUC values for variables of CCS including main diagnosis, gender, age, hospitalization route, and existence of surgery were 0.808 for the logistic regression analysis, 0.785 for the decision tree, 0.809 for the neural network and 0.830 for the support vector machine. Therefore, the best predictive power was achieved by the support vector machine technique. The results of this study can be used in the establishment of health policy in the future.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.16 no.3
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• pp.39-52
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• 2006

Recently purpose is used by an crucial part to security management when collecting data about privacy. The W3C(World Wide Web Consortium) describes a standard spec to control personal data that is provided by data providers who visit the web site. But they don't say anymore about security management about personal data in transit after data collection. Recently several researches, such as Hippocratic Databases, Purpose Based Access Control and Hippocratic in Databases, are dealing with security management using purpose concept and access control mechanism after data collection a W3C's standard spec about data collection mechanism but they couldn't suggest an efficient mechanism for privacy protection about personal data because they couldn't represent purpose expression and management of purposes sufficiently. In this paper we suggest a mechanism to improve the purpose expression. And then we suggest an accesscontrol mechanism that is under least privilege principle using the purpose classification for privacy protection. We classify purpose into Along purpose structure, Inheritance purpose structure and Stream purpose structure. We suggest different mechanisms to deal with then We use the role hierarchy structure of RBAC(Role-Based Access Control) for flexibility about access control and suggest mechanisms that provide the least privilege for processing the task in case that is satisfying using several features of purpose to get least privilege of a task that is a nit of business process.

• Journal of Korea Water Resources Association
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• v.55 no.5
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• pp.321-331
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• 2022

In this study, we tried to present a method for calculating the amount of regression using a watershed modeling method that can simulate the hydrological mechanism of water balance analysis and agricultural water based on watershed unit. Using the soil water assessment tool (SWAT), a watershed water balance analysis was conducted considering the simulation of paddy fields for the Manbongcheon Standard Basin (97.34 km²), which is a representative agricultural area of the Yeongsan river basin. Before evaluating return flow, the SWAT was calibrated and validated using the daily streamflow observation data at Naju streamflow gauge station (NJ). The coefficient of determination (R²), Nash-Sutcliffe Efficiency (NSE), Root-Mean-Square Error (RMSE) of NJ were 0.73, 0.70, 0.64 mm/day. Based on the calibration results for three years (2015-2017), the quick return flow and the return rate compared to the water supply amount for the irrigation period (April 1 to September 30) were calculated, and the average return flow rate was 53.4%. The proposed method of this study may be used as foundation data to optimal agricultural water supply plan for rational watershed management.

• Journal of IKEEE
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• v.26 no.3
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• pp.510-514
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• 2022

In this paper, we propose the development of high-sensitivity low-end radiation measuring sensor module. The proposed measurement sensor module is a scintillator + photomultiplier(SiPM) sensor optimization structure design, amplification and filter and control circuit design for sensor driver, control circuit design including short-distance communication, sensor mechanism design and manufacturing, and GUI development applied to prototypes consists of, etc. The scintillator + photomultiplier(SiPM) sensor optimization structure design is designed by checking the characteristics of the scintillator and the photomultiplier (SiPM) for the sensor structure design. Amplification, filter and control circuit design for sensor driver is designed to process fine scintillation signal generated by radiation with a scintillator using SiPM. Control circuit design including short-distance communication is designed to enable data transmission through MCU design to support short-range wireless communication function and wired communication support. The sensor mechanism design and manufacture is designed so that the glare generated by wrapping a reflective paper (mirroring) on the outside of the plastic scintillator is reflected to increase the efficiency in order to transmit the fine scintillation signal generated from the plastic scintillator to the photomultiplier(SiPM). The GUI development applied to the prototype expresses the date and time at the top according to each screen and allows the measurement unit and time, seconds, alarm level, communication status, battery capacity, etc. to be expressed. In order to evaluate the performance of the proposed system, the results of experiments conducted by an authorized testing institute showed that the radiation dose measurement range was 30 𝜇Sv/h ~ 10 mSv/h, so the results are the same as the highest level among products sold commercially at domestic and foreign. In addition, it was confirmed that the measurement uncertainty of ±7.4% was measured, and normal operation was performed under the international standard ±15%.