This study presents the application of satellite laser ranging (SLR) to orbit determination (OD) of high-Earth-orbit (HEO) satellites. Two HEO satellites are considered: the Quasi-Zenith Satellite-1 (QZS-1), a Japanese elliptical-inclinedgeosynchronous- orbit (EIGSO) satellite, and the Compass-G1, a Chinese geostationary-orbit (GEO) satellite. One week of normal point (NP) data were collected for each satellite to perform the OD based on the batch least-square process. Five SLR tracking stations successfully obtained 374 NPs for QZS-1 in eight days, whereas only two ground tracking stations could track Compass-G1, yielding 68 NPs in ten days. Two types of station bias estimation and a station data weighting strategy were utilized for the OD of QZS-1. The post-fit root-mean-square (RMS) residuals of the two week-long arcs were 11.98 cm and 10.77 cm when estimating the biases once in an arc (MBIAS). These residuals were decreased significantly to 2.40 cm and 3.60 cm by estimating the biases every pass (PBIAS). Then, the resultant OD precision was evaluated by the orbit overlap method, yielding three-dimensional errors of 55.013 m with MBIAS and 1.962 m with PBIAS for the overlap period of six days. For the OD of Compass-G1, no station weighting strategy was applied, and only MBIAS was utilized due to the lack of NPs. The post-fit RMS residuals of OD were 8.81 cm and 12.00 cm with 49 NPs and 47 NPs, respectively, and the corresponding threedimensional orbit overlap error for four days was 160.564 m. These results indicate that the amount of SLR tracking data is critical for obtaining precise OD of HEO satellites using SLR because additional parameters, such as station bias, are available for estimation with sufficient tracking data. Furthermore, the stand-alone SLR-based orbit solution is consistently attainable for HEO satellites if a target satellite is continuously trackable for a specific period.

Background: This study was aimed at evaluating the growth, yield, and carbohydrate content in the whole Allium hookeri plant with shading treatment in hot summer. Methods and Results: Different shading rate, including 0 (control), 35 or 55%, was employed from the June 21st to August 31st. Daily average air and soil temperature, which were approximately 2.5℃ and 3.8℃ lower, respectively, were observed with both 35% and 55% treatments in July and August, with no significant difference in daily maximum air temperature. Dry weights were high, approximately 40% and 48% for the shoot and 20% and 12% for the root, with the 35% and 55% treatments, respectively, 8 weeks after shading. Division number was increased by 13% and 19.8% with the 35% and 55% treatments, respectively. The mortality rates of 150 plants were 9.1%, 4.0%, and 1.3% with the 0 (control), 35% and 55% treatments, respectively. At 4 weeks after shading, the highest and lowest sucrose levels in both shoot and root were observed with the 35% and 55% treatments, respectively. At 8 weeks after shading, there was no significant difference in the sucrose content in the shoot among the treatments. Conclusions: The highest plant growth rate and yield with the 55% treatment may be related with the decrease in both air and soil temperatures, resulting in reducted leaf respiration and thus compensate net photosynthesis.

Background: In the herbal medicinal industry, Angelica gigas Nakai, Angelica sinensis (Oliv.) Diels. and Angelica acutiloba (Siebold & Zucc.) Kitag. are often confused, because the roots of the three species can not be distinguished by their appearance. This confusion can cause serious side effects. In this study, we determined the origins of Angelica roots distributed in the Korean market using the simple sequence repeat (SSR) markers developed based on the A. gigas chloroplast DNA sequence. Methods and Results: We collected twenty seven A. gigas and three A. acutiloba samples from the Seoul, Daegu, and Cheongju herbal medicinal markets. Fifty sections of one collection were mixed and ground to make a powder, which was used for DNA extraction using the cetyl trimethylammonium bromide (CTAB) method. Chloroplast based SSR markers were applied to the DNA for the determination of the species. In addition, polymorphism was found in eight samples. The phylogenetic analysis showed that the A. gigas roots collected from herbal medicinal markets were clearly discriminated from A. sinensis and A. acutiloba even though they were grouped into four clusters. Conclusions: This study showed that chloroplast based SSR markers would help the discrimination of Angelica roots in the Korean herbal medicinal industry and the markers are useful to prevent confusion between Angelica roots.

우리나라는 자원이 부족하여 총 공급에너지의 95.8 %를 수입에 의존하고 있어 신재생에너지의 개발과 합리적인 이용방안이 절실하다. 폐기물 에너지는 재생에너지 종류 중 하나로 가정이나 사업장에서 배출되는 폐기물을 열분해를 통해 고형연료, 폐유 정제유, 플라스틱 열분해 연료유, 폐기물 소각열 등의 에너지를 생산할 수 있어 활용가치가 매우 높다. 그 중 고형연료는 ｢자원의 절약과 재활용촉진에 관한 법률｣에 따라 인정된 생활폐기물(음식물류 제외), 폐합성수지, 폐지 등 가연성물질만을 선별･분리하여 제조한 연료로 현재 SRF(Solid Refuse Fuels) 와 BioSRF(Biomass Solid Refuse fuel)로 관리되고 있다. 폐기물 연료는 화석연료뿐만 아니라 바이오매스도 포함하고 있기 때문에 부분적인 이산화탄소 중립연료로 간주될 수 있다. 특히 혼합된 폐기물연료를 소각하는 곳에서 배출되는 가스 중에는 바이오매스 기원물질을 제외 할 때에 비로소 순 온실가스 배출량을 산정할 수 있다. 따라서 본 연구에서는 폐기물에너지 중 가연성폐기물을 원료로 한 고형연료제품 종류별 사용시설에서 배출되는 가스를 포집하여 CO2 중의 생물학적 기원물질의 바이오매스를 14C 방법으로 분석하였다. 또한 고형연료에 대한 분석을 SDM(Selective Dissolution Method)방법과 14C 방법으로 분석하여 비교하였고 배출가스에서의 측정․분석을 수행함으로서 폐기물에너지 사용시설에 적용 가능한 가장 적합한 측정․분석방법을 고찰해보았다.

Purpose – The purpose of this study is to present a framework for determining the most appropriate business model for e-learning. Research design, data, and methodology – The Electronics Branch of Azad University has been elected as a case study in this research. This study conducted using a descriptive method. The information was obtained using interviews with experts including managers, faculty and students at the Electronics Branch of Azad University. Results – Three service-product system (product oriented system, use an oriented and result oriented system) approaches determined a framework for the formation of a portfolio. This portfolio is including three types of e-learning business models. Examining the relevant characteristics, correspondence of behaviorism learning theory with a product-oriented approach, correspondence of cognitivism theory with a user-oriented approach and in finally match correspondence of constructivist learning theory with a results-oriented approach which is evident. Conclusions – After reviewing the literature on the fields of e-learning, business model and product - service systems, we have achieved three types of e-learning business models. Then the variables in any of the business models were defined by using business model canvas tool and thus a portfolio consisting of three types of e-learning business model canvas was obtained.

The deep space orbit determination software (DSODS) is a part of a flight dynamic subsystem (FDS) for the Korean Pathfinder Lunar Orbiter (KPLO), a lunar exploration mission expected to launch after 2018. The DSODS consists of several sub modules, of which the orbit determination (OD) module employs a weighted least squares algorithm for estimating the parameters related to the motion and the tracking system of the spacecraft, and subroutines for performance improvement and detailed analysis of the orbit solution. In this research, DSODS is demonstrated and validated at lunar orbit at an altitude of 100 km using actual Lunar Prospector tracking data. A set of a priori states are generated, and the robustness of DSODS to the a priori error is confirmed by the NASA planetary data system (PDS) orbit solutions. Furthermore, the accuracy of the orbit solutions is determined by solution comparison and overlap analysis as about tens of meters. Through these analyses, the ability of the DSODS to provide proper orbit solutions for the KPLO are proved.

In this study, Determine weight of damages, which were excerpt from analyzing inspection reports in Road Tunnel, using AHP technique. The result of weight of damages using AHP. is a slight difference from current weight one. So we need to think about this conclusion as new weight of damages in road tunnel.

Background: In Korea, 6-year-old ginseng root is economically more important than 4 or 5-year-old roots. In general, the root age is determined by counting the number of stem vestiges. However, this method does not accurately estimate ginseng root age. Methods and Results: In this study, the stem vestige counting method was used to survey a total of 18,395 fresh ginsengs cultured in 2014, and 2015, to determine the accuracy of this method. The proportion of 6-year-old roots, with more than four stem vestiges, was 46.1% in 2014. For the cultivar Chunpoong cultivated in Eumseong and Goesan countries in 2015, the proportion of more than four stem vestiges was 55.9%, and 43.5%, respectively. The proportion of more than four stem vestiges for the Gumpoong cultivated in Eumseong and Yangpyeong countries was 67.0%, and 35.1%, respectively, whereas that for the cultivar Yunpoong was 36.0% and 61.0%, respectively. Moreover, it was confirmed that differences in the levels of Rg1 will enable root age determination. Conclusions: Root age determination by the stem vestige test was found to differ depending on the environmental and cultivation conditions. To determine the age of ginseng roots, a comprehensive method, such as counting stem vestiges and evaluating differences in ginsenoside levels, should be applied.

This study was performed to analyze the content of 6 different fusel oils in 9 types of liquor distributed in domestic market. GC-FID method was employed for quantifying fusel oil (1-propanol, iso-butanol, 1-butanol, 2-butanol, iso-amyl alcohol, active amyl alcohol) levels in 260 liquor samples of liquor. Relative standard deviations (%) of intraand interday measurements were under 1.56 and 2.44%, respectively, while recovery rates (%) were 98.22-105.26% and 98.53-107.15%, respectively. Pretreatment method (filtering and centrifugation) of Takju did not affect analytic results. The average of total fusel oil contents in Yakju (39 types) and fruit wines (30 types) were 497.6 and 151.9 mg/L, showing Yakju contains more fusel oils than Takju or fruit wines. In fruit wines, iso-amyl alcohol was the major fusel oil component (at 6.8-249.0 mg/L). The highest content of fusel oil was found in foreign brandy, whereas the diluted Soju did not contain fusel oils. However, the average of total fusel oil contents was high at 764.5 mg/L in the three types of distilled Soju and iso-amyl alcohol content ranged from 114.2 to 421.0 mg/L. Domestic and foreign beers were similar in terms of their fusel oil compositions and contents. In conclusion, excluding the diluted Soju, the contents of total fusel oils ranged from 114.8 to 1447.3 mg/L in the monitored liquors.

The use of electrical and electronic products made of low specific gravity and easy processing plastics has increased alongside industrial development. As these products were abandoned, environmental problems such as Dioxine and Furan began to rise. Accordingly, through long-time reviews and discussions, the EU has implemented the Restriction of Hazardous Substances (RoHS) and the Waste Electrical and Electronic Equipment (WEEE) regulations. In addition, the Stockholm Convention was adopted in April 2011 to regulate wastes containing brominated flame retardants. Therefore, the Basel Convention issued technical guidelines and environmentally friendly treatments for wastes containing brominated flame retardants. Proper management and treatment plans that are suitable to Korea’s circumstances are required for Korea to respond to both conventions and changing trends in international POPs management. In this regard, the study identified domestic and international trends in environmental regulations and usages, obtained fundamental data for the management of waste containing brominated flame retardants, and investigated the current status of waste generation in Korea. The results of analyses were used to make a lab-scale incineration reactor as the basis for setting incineration temperature ranges for experiments. After incineration, five general air pollutants (O2, CO, CO2, SOx, and NOx) and three components of BRFs in emission gases and flooring were analyzed to identify whether the PBDEs in waste can be destroyed in a stable and environmental manner during heat treatment. In the analysis, HRMS was used for PBDEs and GC/MS/MS for TBBPA and HBCD. PBDD/DFs was proportionally increased in facilities that had high concentrations of PCDD/DFs during incineration. In conclusion, wastes containing brominated flame retardants in Korea can be incinerated in an environmentally friendly manner.

This paper presents an overview of deep space orbit determination software (DSODS), as well as validation and verification results on its event prediction capabilities. DSODS was developed in the MATLAB object-oriented programming environment to support the Korea Pathfinder Lunar Orbiter (KPLO) mission. DSODS has three major capabilities: celestial event prediction for spacecraft, orbit determination with deep space network (DSN) tracking data, and DSN tracking data simulation. To achieve its functionality requirements, DSODS consists of four modules: orbit propagation (OP), event prediction (EP), data simulation (DS), and orbit determination (OD) modules. This paper explains the highest-level data flows between modules in event prediction, orbit determination, and tracking data simulation processes. Furthermore, to address the event prediction capability of DSODS, this paper introduces OP and EP modules. The role of the OP module is to handle time and coordinate system conversions, to propagate spacecraft trajectories, and to handle the ephemerides of spacecraft and celestial bodies. Currently, the OP module utilizes the General Mission Analysis Tool (GMAT) as a third-party software component for highfidelity deep space propagation, as well as time and coordinate system conversions. The role of the EP module is to predict celestial events, including eclipses, and ground station visibilities, and this paper presents the functionality requirements of the EP module. The validation and verification results show that, for most cases, event prediction errors were less than 10 millisec when compared with flight proven mission analysis tools such as GMAT and Systems Tool Kit (STK). Thus, we conclude that DSODS is capable of predicting events for the KPLO in real mission applications.

전 세계적으로 플라스틱의 사용량은 꾸준히 증가하고 있는 추세이다. 그 결과, 해양쓰레기 중 플라스틱의 비중은 60~80%로써 높은 비중을 차지하고 있다. 플라스틱 중에서도 미세플라스틱은 5mm 미만의 플라스틱 조각으로서 인위적으로 제조된 1차 미세플라스틱과 물리･화학적으로 인한 파쇄나 분해에 의한 2차 미세플라스틱으로 나눌 수 있다. 이러한 미세플라스틱은 생물증폭(Biomagnification)과 생물농축(Bioaccumulation)이 우려되고 있다. 최근 미세플라스틱의 관심이 대두되면서 미세플라스틱의 정량･정성분석에 대한 문헌이 증가하는 추세이지만, 정량에 사용하는 단위는 연구자마다 상이하여 상호 비교가 어려운 현실이다. 또한 시료의 상태에 따라 유기물분해, 밀도차선별을 선별적으로 적용해야 한다. 특정 환경매체에서 정량･정성분석의 결과는 배출원별 배출량과 함께 고려해야 한다. 국외의 경우 미세플라스틱의 배출원별 배출량에 관한 연구가 이미 진행되었으나, 우리나라의 경우 관련된 연구는 찾아볼 수 없다. 이에 본 연구에서는 국외 선행연구에서 사용한 기법을 적용하여 우리나라에서 배출되는 미세플라스틱의 양을 추정하였다. 그 결과, 1차 미세플라스틱 배출량이 2차 미세플라스틱 배출량보다 약 10배 많은 것으로 나타났다.

우리나라는 2030년까지 모든 경제분야에 걸쳐 온실가스 배출을 약 37% 감축할 계획을 UNFCCC에 제출하였으며 이에 따라 보다 정확한 온실가스 배출량을 산정하는 것이 중요하다. 국내 발생되는 폐기물의 매립 억제정책으로 인해 폐기물의 재활용율은 향상되고 있지만 소각비율 또한 증가될 수 있다. 따라서 소각시설에서 배출되는 가스물질의 안정적인 관리가 요구되는 실정이다. 본 연구에서는 국내 생활폐기물 소각시설 3개소(4호기) 및 사업장폐기물 소각시설 6개소(8호기)를 대상으로 연소 후 최종 배출되는 가스성분을 분석･포집하였다. 가스상 물질을 안정적으로 포집하기 위하여 가스샘플링장치를 설계･제작하여 적용하였으며, 보다 신뢰성 있는 시료채취를 위하여 3시간, 6시간, 24시간 단위로 각각 포집하여 결과값을 비교하였다. 분석대상 물질은 CO, NOx, SOx 그리고 CO2 였으며 포집한 기체시료 중 14C 분석을 통해 바이오매스량을 구하였다. 명확한 바이오매스량을 분석하기 위하여 탄소동위원소를 이용한 가속기 질량분석기(Accelerator Mass Spectrometry)를 이용하였으며 바이오매스량을 제외한 총 온실가스배출량을 구하였다.

도시화 및 산업화로 인한 도시지역의 불투수율의 증가와 국지성 호우로 인하여 도시지역의 홍수에 대한 방어능력이 취약하게 되었다. 도시지역 의 홍수피해 저감을 위하여 저류지와 침투시설을 포함한 각종 우수유출저감시설이 적용되고 있다. 그러나 국내 대도시의 경우 우수유출저감시설 설치를 위한 부지 확보가 어렵고 노후화된 관거 개선을 위한 예산확보도 어려운 실정이므로 도심지의 치수능력 향상과 예산을 절감시킬 수 있는 기 존 우수관거를 연계한 저류시스템(이것을 간선저류지라 부르기로 한다)의 설계가 필요하다고 판단된다. 본 연구에서는 세 가지 형상(세장형, 중앙 형, 집중형)의 가상유역을 대상유역으로 선정하여 기존 우수관거를 연계한 저류시스템인 간선저류지를 유역 내의 임의의 위치에 설치하였을 경우 간선저류지의 용량에 따른 우수유출저감효과를 분석하였다. 간선저류지는 6가지의 용량(1,000 m3, 3,000 m3, 5,000 m3, 10,000 m3, 20,000 m3, 30,000 m3)으로 설정하였고, 우수유출저감효과를 분석하기 위한 저류지의 설치위치는 전체 유역면적에 대한 저류지 상류부 면적의 비를 각 각 20%, 40%, 60%, 80%로 변화시키면서 설치위치를 다양하게 적용하여 대상유역의 우수유출저감효과를 분석하였다. 또한 도출된 결과를 이 용하여 간선저류지 설치위치에 따른 관계도 및 관계식을 제시하였다.

Potato greening determines the shelf life and affects the marketability of this tuber. Various stresses during handling and storage interact to affect the tuber’s physiological status and can affect the rate of greening. This study investigated the effects of storage temperature on tuber greening and shelf life in unwashed and washed potatoes of the cultivar Superior. Physiological and biochemical changes were examined during 15 days at room temperature (23±2°C) under cool-white fluorescent light after storage for 1 month at different temperatures (4°C, 20°C). Hunter a values were negative (-) for washed potatoes after 3 days (-0.8) and 15 days (-2.5) at room temperature following 1 month of storage at 4°C while positive (+) values were observed for unwashed potatoes after 15 days at room temperature. The Hunter ΔE values of washed potatoes previously stored at 4°C for 1 month increased after 3 days at room temperature compared with those of unwashed potatoes. The total chlorophyll content of washed potatoes was higher than that of unwashed potatoes. The highest correlation was observed between the Hunter ΔE value and Hunter a value (-0.93506), while a positive correlation coefficient (0.89806) was observed between greening criteria and Hunter ΔE value by using colorimetry. We conclude, therefore, that there is a biosynthetic link between temperature-induced chlorophyll accumulation and tuber greening in storage.

The optical wide-field patrol network (OWL-Net) is a Korean optical surveillance system that tracks and monitors domestic satellites. In this study, a batch least squares algorithm was developed for optical measurements and verified by Monte Carlo simulation and covariance analysis. Potential error sources of OWL-Net, such as noise, bias, and clock errors, were analyzed. There is a linear relation between the estimation accuracy and the noise level, and the accuracy significantly depends on the declination bias. In addition, the time-tagging error significantly degrades the observation accuracy, while the time-synchronization offset corresponds to the orbital motion. The Cartesian state vector and measurement bias were determined using the OWL-Net tracking data of the KOMPSAT-1 and Cryosat-2 satellites. The comparison with known orbital information based on two-line elements (TLE) and the consolidated prediction format (CPF) shows that the orbit determination accuracy is similar to that of TLE. Furthermore, the precision and accuracy of OWL-Net observation data were determined to be tens of arcsec and sub-degree level, respectively.

치성천의 홍수범람이 빈번하게 발생하는 구간을 대상으로 하단배출형 가동보를 다단으로 배치하여 가동보의 관리수위별 저류 및 홍수조절 효과 를 기존 고정보의 설치 경우와 비교분석하였다. 분석 결과를 기반으로 인공신경망 모형을 구축하여 목표하는 저류량과 하류부 홍수위 조절을 위한 가동보의 관리수위를 제안하였다. 하단배출형 가동보를 다단으로 배치할 경우 고정보 대비 하류부에서의 첨두 홍수위가 68.28%가 감소하였고, 대상구간의 총 저류량이 216%가 증가하였다. 인공신경망 학습모델의 구축을 위해 수치모의 결과 216개의 data 중 60%, 20%, 20%를 각각 학습, 검증 및 시험에 사용하였다. 학습결과 평균제곱오차가 0.1681 m2, 결정계수가 학습, 검증 및 시험에서 각각 0.9961, 0.9967, 0.9943으로 높게 나타났다. 인공신경망을 이용하여 목표하는 저류량과 하천의 하류부에서의 홍수위에 대한 각각 가동보의 관리수위의 결정방안을 제시하였다

This purpose of this study was to determine the best enrichment medium for rejuvenating and recovering Salmonella placed in cold temperature prior to the employment of the gold biosensor combined with a light microscopic imaging system. A mixture of nalidixic-resistant Salmonella Typhimurium and Enteritidis were inoculated onto chicken (1,000 CFU/chicken). After cold injury at 4℃ for 24 hr, Salmonella on chicken was enriched for 6 hr with six non-selective media including buffered peptone water broth, lactose broth, brain heart infusion broth (BHI), universal pre-enrichment broth, nutrient broth, and tryptic soy broth, and five selective media including brilliant green broth (BG), rappaport-vassiliadis R10 broth, selenite cystine broth, selenite broth, and tetrathionate brilliant green broth (TBG) for the comparison of Salmonella growth. Various concentrations of Salmonella (10, 50, 100, 500, and 1,000 CFU/chicken) were then enriched for 6 hr in both BHI and BG media to select the best media. BHI was selected as the most effective non-selective enrichment medium, while BG was selected as the most effective selective enrichment medium. Finally, BHI medium was selected as the most efficient enrichment medium for Salmonella growth injured from cold temperature during processing or storage.