• 대한원격탐사학회지
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• 제40권2호
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• pp.203-217
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• 2024

The Land Use, Land-Use Change and Forestry (LULUCF) sector of the National Greenhouse Gas Inventory is crucial for obtaining data on carbon sinks, necessitating accurate estimations. This study analyzes cases of countries applying the LULUCF sector at the Tier 3 level to propose enhanced methodologies for carbon sink estimation. In nations like Japan and Western Europe, satellite spatial information such as SPOT, Landsat, and Light Detection and Ranging (LiDAR)is used alongside national statistical data to estimate LULUCF. However, in Korea, the lack of land use change data and the absence of integrated management by category, measurement is predominantly conducted at the Tier 1 level, except for certain forest areas. In this study, Space-borne LiDAR Global Ecosystem Dynamics Investigation (GEDI) was used to calculate forest canopy heights based on Relative Height 100 (RH100) in the cities of Icheon, Gwangju, and Yeoju in Gyeonggi Province, Korea. These canopy heights were compared with the 1:5,000 scale forest maps used for the National Inventory Report in Korea. The GEDI data showed a maximum canopy height of 29.44 meters (m) in Gwangju, contrasting with the forest type maps that reported heights up to 34 m in Gwangju and parts of Icheon, and a minimum of 2 m in Icheon. Additionally, this study utilized Ordinary Least Squares(OLS)regression analysis to compare GEDI RH100 data with forest stand heights at the eup-myeon-dong level using ArcGIS, revealing Standard Deviations (SDs)ranging from -1.4 to 2.5, indicating significant regional variability. Areas where forest stand heights were higher than GEDI measurements showed greater variability, whereas locations with lower tree heights from forest type maps demonstrated lower SDs. The discrepancies between GEDI and actual measurements suggest the potential for improving height estimations through the application of high-resolution remote sensing techniques. To enhance future assessments of forest biomass and carbon storage at the Tier 3 level, high-resolution, reliable data are essential. These findings underscore the urgent need for integrating high-resolution, spatially explicit LiDAR data to enhance the accuracy of carbon sink calculations in Korea.

• 대한지역사회영양학회지
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• 제29권3호
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• pp.234-252
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• 2024

Objectives: This study examined the intake of energy and macronutrients among elementary, middle, and high school students according to household income before the COVID-19 pandemic (2016-2019), during the social distancing period (2020-2021), and after the social distancing measures were lifted (2022). Methods: We included 5,217 students aged 5-18 from the Korea National Health and Nutrition Examination Survey (KNHANES) conducted between 2016 and 2022. Dietary intake was assessed using one-day 24-hour dietary recalls. We estimated the least squares means (LS-means) of intake according to household income for each period using a weighted linear regression model, adjusted for age and sex. Differences in LS-means between the periods were analyzed using the t-test. Results: During the social distancing period, the LS-means of energy intake among students decreased significantly by 143.2 kcal/day compared to pre-pandemic levels (P < 0.001). Students from low-income households experienced a more pronounced decrease in energy intake (-379.1 kcal/day, P < 0.001) and macronutrient intake compared to those from other income groups. Energy intake at school significantly declined for all income groups during the social distancing period compared to before the pandemic. No significant changes in home energy intake were observed among low-income students, whereas there was an increase for students from higher-income groups. Before the pandemic, 8.5% of students from low-income households reported insufficient food due to economic difficulties; this figure rose to 21.3% during the pandemic. Conclusions: During the pandemic, students from low-income families experienced significantly lower intake of energy and macronutrients compared to pre-pandemic levels. The most substantial reductions were noted among low-income students, largely due to the lack of compensation for decreased school-based intake with increased intake at home.

• 분석과학
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• 제31권4호
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• pp.161-170
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• 2018

메스암페타민(methamphetamine, MA)과 암페타민(amphetamine, AP)은 전세계적으로 널리 퍼진합성 흥분제로 보건 및 사회 문제, 경제적 비용 발생 등의 다양한 문제를 일으킨다. 또한 이러한 마약은 중독 및 남용 가능성이 매우 높기 때문에 확산 방지를 위한 방안의 하나로 복용자의 생체시료에서 이들 마약을 검출하기 위한 분석법 개발이 필요하다. 따라서 본 연구에서는 액체크로마토그래피-질량분석법(liquid chromatography-tandem mass spectrometry, LC-MS/MS)를 이용하여 소변에서 MA와 4-하이드록시메스암페타민(4-hydroxymethamphetamine, 4HMA), AP, 4-하이드록시암페타민(4-hydroxyamphetamine, 4HA)을 동시에 분석할 수 있는 분석법을 개발하였고 유효성 평가를 수행하였다. 전처리 시간 단축을 위해 50000 g에서 3 min 동안 초고속원심분리 후 시료 희석 주입법을 이용하여 LC-MS/MS에 주입하였다. 분리관은 역상 C18 컬럼을 사용하였고, 정량분석을 위해 MRM (multiple reaction monitoring) 모드를 적용하였다. 가중계수 $1/x^2$에서 정량 범위는 MA는 10-2500 ng/mL, AP는 1.0-800 ng/mL, 4HA와 4HMA는 2.0-200 ng/mL로 설정하였고, 검량선의 직선성은 결정계수($r^2$)를 구하여 평가하였다. 초고속원심분리법의 효율성을 확인하기 위해 전처리 과정으로 시린지 필터(membrane-filtration)를 적용한 결과와 비교하였고, 그 결과 분석물질에 따라 6-15 % 성능이 우수한 것으로 나타났다. 일내(intra-day)와 일간(inter-day) 정밀도는 6.6 % 미만이었고, 정확도는 -14.9-11.3 % 였다. 최저정량한계(LLOQ)는 2.0 ng/mL (4HA 및 4HMA), 1.0 ng/mL (AP), 10 ng/mL (MA)로 확인되었다. 선택성, 검출한계, 희석무결성, 기질효과, 효율성, 안정성을 평가한 결과 만족스러운 측정값을 얻었다. 또한 개발된 분석법을 마약 복용자의 소변에 적용하여 분석법의 유용성을 확인하였다.

• Asia pacific journal of information systems
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• 제17권4호
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• pp.207-228
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• 2007

Measuring Information Technology(IT) organizations' activities have been limited to mainly measure financial indicators for a long time. However, according to the multifarious functions of Information System, a number of researches have been done for the new trends on measurement methodologies that come with financial measurement as well as new measurement methods. Especially, the researches on IT Balanced Scorecard(BSC), concept from BSC measuring IT activities have been done as well in recent years. BSC provides more advantages than only integration of non-financial measures in a performance measurement system. The core of BSC rests on the cause-and-effect relationships between measures to allow prediction of value chain performance measures to allow prediction of value chain performance measures, communication, and realization of the corporate strategy and incentive controlled actions. More recently, BSC proponents have focused on the need to tie measures together into a causal chain of performance, and to test the validity of these hypothesized effects to guide the development of strategy. Kaplan and Norton[2001] argue that one of the primary benefits of the balanced scorecard is its use in gauging the success of strategy. Norreklit[2000] insist that the cause-and-effect chain is central to the balanced scorecard. The cause-and-effect chain is also central to the IT BSC. However, prior researches on relationship between information system and enterprise strategies as well as connection between various IT performance measurement indicators are not so much studied. Ittner et al.[2003] report that 77% of all surveyed companies with an implemented BSC place no or only little interest on soundly modeled cause-and-effect relationships despite of the importance of cause-and-effect chains as an integral part of BSC. This shortcoming can be explained with one theoretical and one practical reason[Blumenberg and Hinz, 2006]. From a theoretical point of view, causalities within the BSC method and their application are only vaguely described by Kaplan and Norton. From a practical consideration, modeling corporate causalities is a complex task due to tedious data acquisition and following reliability maintenance. However, cause-and effect relationships are an essential part of BSCs because they differentiate performance measurement systems like BSCs from simple key performance indicator(KPI) lists. KPI lists present an ad-hoc collection of measures to managers but do not allow for a comprehensive view on corporate performance. Instead, performance measurement system like BSCs tries to model the relationships of the underlying value chain in cause-and-effect relationships. Therefore, to overcome the deficiencies of causal modeling in IT BSC, sound and robust causal modeling approaches are required in theory as well as in practice for offering a solution. The propose of this study is to suggest critical success factors(CSFs) and KPIs for measuring performance for IT organizations and empirically validate the casual relationships between those CSFs. For this purpose, we define four perspectives of BSC for IT organizations according to Van Grembergen's study[2000] as follows. The Future Orientation perspective represents the human and technology resources needed by IT to deliver its services. The Operational Excellence perspective represents the IT processes employed to develop and deliver the applications. The User Orientation perspective represents the user evaluation of IT. The Business Contribution perspective captures the business value of the IT investments. Each of these perspectives has to be translated into corresponding metrics and measures that assess the current situations. This study suggests 12 CSFs for IT BSC based on the previous IT BSC's studies and COBIT 4.1. These CSFs consist of 51 KPIs. We defines the cause-and-effect relationships among BSC CSFs for IT Organizations as follows. The Future Orientation perspective will have positive effects on the Operational Excellence perspective. Then the Operational Excellence perspective will have positive effects on the User Orientation perspective. Finally, the User Orientation perspective will have positive effects on the Business Contribution perspective. This research tests the validity of these hypothesized casual effects and the sub-hypothesized causal relationships. For the purpose, we used the Partial Least Squares approach to Structural Equation Modeling(or PLS Path Modeling) for analyzing multiple IT BSC CSFs. The PLS path modeling has special abilities that make it more appropriate than other techniques, such as multiple regression and LISREL, when analyzing small sample sizes. Recently the use of PLS path modeling has been gaining interests and use among IS researchers in recent years because of its ability to model latent constructs under conditions of nonormality and with small to medium sample sizes(Chin et al., 2003). The empirical results of our study using PLS path modeling show that the casual effects in IT BSC significantly exist partially in our hypotheses.

• 경영과정보연구
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• 제23권
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• pp.41-74
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• 2007

In Korea, corporate merger activities were activated since 1980, and nowadays(particuarly since 1986) the changes in domestic and international economic circumstances have made corporate managers have strong interests in merger. Korea and America have different business environments and it is easily conceivable that there exists many differences in motives, methods, and effects of mergers between the two countries. According to recent studies on takeover bids in America, takeover bids have information effects, tax implications, and co-insurance effects, and the form of payment(cash versus securities), the relative size of target and bidder, the leverage effect, Tobin's q, number of bidders(single versus multiple bidder), the time period (before 1968, 1968-1980, 1981 and later), and the target firm reaction (hostile versus friendly) are important determinants of the magnitude of takeover gains and their distribution between targets and bidders at the announcement of takeover bids. This study examines the theory of takeover bids, the status quo and problems of merger in Korea, and then investigates how the announcement of merger are reflected in common stock returns of bidding firms, finally explores empirically the factors influencing abnormal returns of bidding firms' stock price. The hypotheses of this study are as follows ; Shareholders of bidding firms benefit from mergers. And common stock returns of bidding firms at the announcement of takeover bids, shows significant differences according to the condition of the ratio of target size relative to bidding firm, whether the target being a member of the conglomerate to which bidding firm belongs, whether the target being a listed company, the time period(before 1986, 1986, and later), the number of bidding firm's stock in exchange for a stock of the target, whether the merger being a horizontal and vertical merger or a conglomerate merger, and the ratios of debt to equity capital of target and bidding firm. The data analyzed in this study were drawn from public announcements of proposals to acquire a target firm by means of merger. The sample contains all bidding firms which were listed in the stock market and also engaged in successful mergers in the period 1980 through 1992 for which there are daily stock returns. A merger bid was considered successful if it resulted in a completed merger and the target firm disappeared as a separate entity. The final sample contains 113 acquiring firms. The research hypotheses examined in this study are tested by applying an event-type methodology similar to that described in Dodd and Warner. The ordinary-least-squares coefficients of the market-model regression were estimated over the period t=-135 to t=-16 relative to the date of the proposal's initial announcement, t=0. Daily abnormal common stock returns were calculated for each firm i over the interval t=-15 to t=+15. A daily average abnormal return(AR) for each day t was computed. Average cumulative abnormal returns($CART_{T_1,T_2}$) were also derived by summing the $AR_t's$ over various intervals. The expected values of $AR_t$ and $CART_{T_1,T_2}$ are zero in the absence of abnormal performance. The test statistics of $AR_t$ and $CAR_{T_1,T_2}$ are based on the average standardized abnormal return($ASAR_t$) and the average standardized cumulative abnormal return ($ASCAR_{T_1,T_2}$), respectively. Assuming that the individual abnormal returns are normal and independent across t and across securities, the statistics $Z_t$ and $Z_{T_1,T_2}$ which follow a unit-normal distribution(Dodd and Warner), are used to test the hypotheses that the average standardized abnormal returns and the average cumulative standardized abnormal returns equal zero.

• 산업식품공학
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• 제15권1호
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• pp.48-55
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• 2011

본 연구에서는 고춧가루의 매운맛을 내는 주성분인 캡사이신 함량을 신속하게 측정할 수 있도록 근적외선 흡광도를 측정할 수 있는 시스템을 구성하였다. 이를 이용하여 동일지역(영광군)에서 생산된 맵지 않은 일반 품종의 고춧가루와 우리나라에서 아주 매운 고추로 알려진 청양 품종의 고춧가루를 혼합하여 만들어진 시료에 대하여 입자의 크기별로 캡사이신 함량을 예측할 수 있는 PLSR 모델을 개발하였다. 고춧가루 입도별로 캡사이신 함량의 예측성능을 향상시키기 위한 스펙트럼 전처리 조건을 구명하였으며, 입도가 캡사이신의 함량 예측에 미치는 영향을 구명하였다. 그결과를 요약하면 다음과 같다. (1) 고춧가루의 근적외선 흡광도 측정 시스템은 1100-2300 nm 대역에서의 근적외선 흡광도 측정용 AOTF-NIR Spectrometer, 여러 부위의 흡광도를 측정하기 위하여 제작된 시료 회전판, 시료 회전판을 회전시키는 모터, 회전판의 속도를 조절하는 속도조절장치와, 시료 용기 등으로 구성되었다. (2) 1100-2300 nm의 대역에서 고춧가루와 순수 캡사이신 분말의 스펙트럼을 측정한 결과 고춧가루의 스펙트럼 피크들과 캡사이신의 스펙트럼 피크가 유사한 대역에서 나타나, 근적외선 분광법을 이용하여 고춧가루의 캡사이신 함량 예측이 가능한것으로 판단되었다. (3) 고춧가루 입도별(0.425 mm이하, 0.425-0.71 mm, 0.71-1.4 mm)로 획득한 근적외선 흡광도에 대하여 전처리를 달리하여 개발한 캡사이신 함량 예측용 PLSR 모델을 교차 검증한 결과 결정계수(${R_V}^2$)는 0.948-0.979, 예측오차(SEP)는 6.56-7.94 mg% 범위에서 나타났으며, 입도가 작을수록 예측성능이 우수하였다. (4) 3가지 입도를 통합한 고춧가루(입도 1.4 mm이하)에 대하여 캡사이신 함량 예측모델 개발을 위한 최적의 스펙트럼 전처리 조건은 영역 정규화, SNV와 1차 미분 3가지를 순차적으로 적용하는 것이었으며, 이를 이용하여 PLSR 예측모델을 개발하여 교차검증으로 검증할 때 결정계수(${R_V}^2$)는 0.959, 예측오차(SEP)는 8.82 mg%로 나타났다. (5) 입도가 구분된 고춧가루에는 입도별 예측모델을 적용하고, 입도가 구분되지 않은 고춧가루는 통합 입도 예측모델에 적용함으로써 캡사이신 함량의 예측정확도를 향상시킬 수 있을 것으로 판단되었다.

• Journal of Animal Science and Technology
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• 제45권6호
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• pp.923-932
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• 2003

본 연구는 1991년부터 2002년 2월까지 대한양돈협회 공인 제1, 제2 종돈 능력검정소에서 검정이 완료된 Duroc종, Landrace종, Yorkshire종의 3개 품종 25,790두를 대상으로 돼지의 주요 경제 형질인 일당증체량, 등지방두께, 90kg 도달일령, 사료요구율, 정육율 및 선발지수에 영향을 미치는 품종, 성 및 환경요인의 효과를 추정하였다. 본 연구에서 얻어진 결과를 요약하면 다음과 같다. 1) 각 형질의 최소자승 평균은 일당증체량 959.95${\pm}$0.699g, 90kg 도달일령 138.36${\pm}$0.072일, 등지방 두께 1.41${\pm}$0.001cm, 사료요구율 2.33${\pm}$0.001, 정육율 56.71${\pm}$0.018% 및 선발지수 221.65${\pm}$0.113이었다. 2) 모든 형질에서 품종간에 유의한 차이를 보였으며, 일당증체량과 90kg 도달일령은 Duroc종(966.44${\pm}$1.361g, 137.10${\pm}$0.153일)이 가장 우수하고 Yorkshire종(938.79${\pm}$1.026g, 139.96${\pm}$0.116일)이 가장 불량하였다. 등지방 두께는 Landrace종(1.35${\pm}$0.002cm)이 가장 우수하고, Duroc종(1.60${\pm}$0.002cm)이 가장 불량하였다. 사료요구율은 Yorkshire종(2.34${\pm}$0.002)이 가장 우수하고 Landrace종(2.38${\pm}$0.003)이 가장 불량하였다. 정육율은 Landrace종(57.48${\pm}$0.037%)이 가장 우수하고 Duroc종(55.07${\pm}$0.035%)이 가장 불량하였다. 선발지수는 Yorkshire종(219.78${\pm}$0.154)이 가장 우수하고 Duroc종(214.97${\pm}$0.205)이 가장 불량하였다. 3) 각 형질에 대한 성별 최소자승 평균은 암퇘지와 수퇘지에서 각각 일당 증체량이 923.05${\pm}$1.289g, 974.53${\pm}$0.856g, 90kg 도달일령이 139.74${\pm}$0.145일, 137.21${\pm}$0.097일, 등지방 두께가 1.49${\pm}$0.002cm, 1.39${\pm}$0.002cm, 사료요구율이 2.43${\pm}$0.002, 2.28${\pm}$0.002, 정육율은 56.43${\pm}$0.034%, 56.81${\pm}$0.023% 및 선발지수가 211.37${\pm}$0.194, 224.61${\pm}$0.129로 조사된 모든 형질에 있어서 수퇘지가 암퇘지보다 우수하였다. 4) 검정소의 효과는 선발지수를 제외한 조사된 모든 형질에서 유의한 차이를 보였으며, 1검정소와 2검정소의 최소자승 평균은 각각 90kg 도달일령이 138.64${\pm}$0.117일, 138.32${\pm}$0.126일, 등지방 두께가 1.45${\pm}$0.002cm, 1.43${\pm}$0.002cm, 사료요구율이 2.37${\pm}$0.002, 2.34${\pm}$0.002, 정육율이 56.34${\pm}$0.027%, 56.90${\pm}$0.029%로 2검정소가 우수하였고, 일당증체량은 957.48${\pm}$1.039g, 940.09${\pm}$1.120g으로 1검정소가 우수하였다. 5) 본 연구에서 공분산 성분으로 포함된 검정개시체중과 검정종료체중은 일당증체량, 90kg 도달일령, 등지방 두께, 사료요구율 및 선발지수에 유의적으로 영향하였다. 추정된 회귀계수는 검정개시체중에 있어서 각각 1.7944${\pm}$0.21961, -0.3169${\pm}$0.02476, -0.0009${\pm}$0.00039, 0.0007${\pm}$0.00042 및 0.1950${\pm}$0.03304, 검정종료체중에 있어서는 각각 7.9414${\pm}$0.25182, -0.7222${\pm}$0.02839, -0.0038${\pm}$0.00045, -0.0008${\pm}$0.00048 및 1.0279${\pm}$0.03790으로 절대값을 비교하여 볼 때, 검정개시체중보다는 검정종료체중이 조사된 형질에 더욱 크게 영향하였다.