본 연구는 Van Meter & Van Horn의 정책 집행 시스템 모델을 이론 적 틀로 삼아, C대학을 사례로 중국 대학생 혁신창업교육 정책의 집행 효과에 나타나는 차이를 탐구하였다. 연구방법으로는 사례연구를 적용하 였고, 첫째, 문헌 분석을 통해 중국의 관련 정책과 C대학의 정책 집행 문서를 정리함으로써, 이론적 기반과 주요 영향 요인을 도출하였다. 둘 째, 심층 인터뷰를 하여 C대학의 정책 집행 현황을 조사하고, 정책 집행 자, 교수, 학생들의 피드백을 수집함으로써 정책 집행 과정에서 나타나는 핵심 문제를 분석하였다. 연구결과, 중국 대학생 혁신창업교육 정책의 집 행에는 정책 개념의 모호성, 자원의 부족, 다중 조직 간 협력의 어려움, 경직된 행정 체계, 낮은 사회 참여도, 집행자의 소극적 태도 등이 주요 저해 요인으로 작용하고 있음이 확인되었다. 이에 본 연구는 정책 효과 제고를 위해 정책 개념의 명확화, 재정 지원 제도의 구축, 조직 구조의 최적화, 데이터 플랫폼의 마련, 자원 통합 시스템 구축, 교사와 학생 중 심의 실행 방안 등 여섯 가지 개선 방향을 제안하였다. 이러한 연구는 Van Meter & Van Horn 모델의 적용 가능성과 정책 집행에 미치는 구 체적 영향을 실증적으로 분석함으로써, 향후 정책 수립과 집행 과정에 실질적 시사점을 제공한다.

The acoustic emission (AE) method as a passive non-destructive monitoring technique is proposed for real-time monitoring of mechanical degradation in underground structures, such as deep geological disposal of high-level nuclear waste (HLW). This study investigates the low-frequency characteristics of AE signals emitted during the fracturing of meter-scale concrete specimens; uniaxial compression tests (UCT) in a lab scale and Goodman jack (GJ) tests in a 1.3 m-long concrete block were conducted while acquiring the AE signals using low-frequency AE sensors. The results indicate a sharp increase in AE energy emission at approximately 60% and 80% of the yield stresses in the UCT and GJ tests, respectively. The collected AE signals were primarily found in two frequency bands: the 4-28 kHz range and the 56-80 kHz range. High-frequency AE signals were captured more as the stress increased in the GJ tests, which was in contrast to the UCT tests. Furthermore, the AE signals obtained from the Goodman jack tests tended to lower RA values than the UCT results. This study presents unique experimental data with low-frequency AE sensors under different loading conditions, which provides insights into field-scale AE monitoring practices.

본 연구에서는 2 016년부터 2 02 0년까지 내륙 관측소 중 안개 최다발 지역인 안동을 대상으로 XGBoost-DART 머신러닝 알고리즘을 이용하여 1 시간 후 안개 유무를 예측하였다. 기상자료, 농업관측자료, 추가 파생자료와 각 자료 를 오버 샘플링한 확장자료, 총 6개의 데이터 세트를 사용하였다. 목측으로 획득한 기상현상번호와 시정계 관측으로 측 정된 시정거리 자료를 각각 안개 유[1]무[0]로 이진 범주화하였다. 총 12개의 머신러닝 모델링 실험을 설계하였고, 안개 가 사회와 지역사회에 미치는 유해성을 고려하여 모델의 성능은 재현율과 AUC-ROC를 중심으로 평가하였다. 전체적으 로, 오버샘플링한 기상자료와 기상현상번호 기반의 예측 목표를 조합한 실험이 최고 성능을 보였다. 이 연구 결과는 머 신러닝 알고리즘을 활용한 안개 예측에 있어서, 목측으로 획득한 기상현상번호의 중요성을 암시한다.

The water consumption data of individual consumers must be analyzed and forecast to establish an effective water demand management plan. A k-mean cluster model that can monitor water use characteristics based on hourly water consumption data measured using automated meter reading devices and demographic factors is developed in this study. In addition, the quantification model that can estimate the daily water consumption is developed. K-mean cluster analysis based on the four clusters shows that the average silhouette coefficient is 0.63, also the silhouette coefficients of each cluster exceed 0.60, thereby verifying the high reliability of the cluster analysis. Furthermore, the clusters are clearly classified based on water usage and water usage patterns. The correlation coefficients of four quantification models for estimating water consumption exceed 0.74, confirming that the models can accurately simulate the investigated demographic data. The statistical significance of the models is considered reasonable, hence, they are applicable to the actual field. Because the use of automated smart water meters has become increasingly popular in recent year, water consumption has been metered remotely in many areas. The proposed methodology and the results obtained in this study are expected to facilitate improvements in the usability of smart water meters in the future.

Two experiments were conducted to determine how much sodium in food could be detected using a salinity meter. First, the salinity of mixed solutions of 0 to 6% sugar, 0 to 5% oil, and 0 to 6.4% MSG in a 1% NaCl solution was measured using a salinity meter and a Mohr titration method, and the results were compared with the calculated sodium expectations. As a result, the sodium contents of the sugar solutions and MSG solutions measured using a salinity meter were lower than the expected concentrations at 2% or more and 0.8% or more, respectively (p<0.05). The salinity of the 18 HMR products was measured in the same way, and the results were then compared with the sodium contents of the nutrition facts. The average sodium content of all products measured using the salinity meter and Mohr method was 1.12 times and 1.06 times the sodium content of the nutrition facts, respectively. On the other hand, the differences between the products were significant. The correlation coefficients between the nutrition facts and salinity meter, the nutrition facts and the Mohr method, and the salinity meter and Mohr method were 0.885, 0.920, and 0.950, respectively (p<0.01).

In this study, the cooling and heating amount, temperature, flow rate of turbine type heat meter for water source heat-pump system were experimentally investigated at the standard operating conditions. The obtained cooling and heating capacity from the heat meter were deviated within 5.0%, 3.8% comparing with the precise values calculated from an accredited test facility. Even though the accumulated cooling and heating amount values of the heat meter had a small difference comparing with the precise values, the temperatures of heat meter showed greatly different values comparing with the precise temperature. Therefore, it is highly recommended to develop the heat meter which is appropriate for the water source heat pump systems.

The utilization of composite columns is increasing due to the construction of high-rise buildings and large buildings. The commercially available concrete chimney steel column (ACT I) is a stable and economical structure, but there is a limit in the section size to be applied to a composite column subjected to a high load. We have developed a composite mega column with an integral structure by adding a plate to the central part of the ACT I column and installing a binding frame at a certain interval inside the central plate. In this study, to evaluate the compressive performance of the composite mega column, four test specimens were constructed with binding frame reinforcement, reinforcement spacing, and reinforced cross - sectional area. The structural performance of the composite section is compared with that of KBC2016 to evaluate the behavior of the specimen.

Recently, advanced metering infrastructure (AMI) has been recognized as a core technology of smart water grid, and the relevant market is growing constantly. In this study, we developed all-in-one smart water meter of the AMI system, which was installed on the test-bed to verify both effectiveness and field applicability in office building water usage. Developed 15 mm-diameter smart water meter is a magneto-resistive digital meter, and measures flow rate and water quality parameters (temperature, conductivity) simultaneously. As a result of the water usage analysis by installing six smart water meters on various purposes in office building water usage, the water usage in shower room showed the highest values as the 1,870 L/day and 26.6 liter per capita day (LPCD). But, the water usage in laboratory was irregular, depending on the many variables. From the analysis of the water usage based on day of the week, the water usage on Monday showed the highest value, and tended to decrease toward the weekend. According to the PCA results and multivariate statistical approaches, the shower room (Group 3) and 2 floor man’s restroom sink (Group 1-3) have been classified as a separate group, and the others did not show a significant difference in both water use and water quality aspects. From the analysis of water usage measured in this study, the leak or water quality accident did not occur. Consequently, all-in-one smart water meter developed in this study can measure flow rate and water quality parameters (temperature, conductivity) simultaneously with effective field applicability in office building water usage.

This study describes a reasonable planning method for water meter replacement which can minimize the metering under-registration for an increasement of revenue water. The increment analysis of real water usage was used to establish a replacement plan. The meter replacement database collected from K City was used as the basis of this analysis. The database included 964 connections of domestic and non-domestic consumers that had their meter replaced by aging at 2011.The result showed that the corelation between unregistered water volume and water meter age was lower than commonly expected where the current criteria of replacement is only water meter age(8 years) excluding the meters older than 13 years. And in the analysis result of water usage for 8 years, the total amount and increment of water usage had a significant effect on unregistered water volume. However the relation was different tendency as a total volume and slope of increment. In case of total water volume was larger than 10,000 , larger than 7,000 and increment of 0.0 ~ -0.3, larger than 6,000 and increment more than -0.3 were analysed to need a replacement because of metering under-registration.