• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.13 no.3
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• pp.25-37
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• 2014

Recently, our local governments are conducting the introduction of tram system because it is recognized as an effective public transit that can solve a traffic jam in downtown, decreasing public transit share and environmental issues in world wide cities. We developed the Active Priority Control Strategy to efficiently operate a tram in our existing traffic signal system. This study organized the tram system for operating the Active Priority Signal Control, developed the algorithm that calculates a tram-stop dwell time in order to pass the downstream intersection without a stop. The dwell time is determined by arrival time at tram-stop, downstream signal time, and the location of a opposite tram, it can be reduced by choosing the optimal one among Signal Priority Controls. Using the VISSIM and VISVAP model, we conducted a simulation test for the city of Chang-won that it is expected to install a tram system. It showed that a developed signal control strategy is effective to prevent a tram's stop in intersections, to reduce a tram's travel time.

• Journal of Korean Society of Transportation
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• v.34 no.1
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• pp.29-42
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• 2016

Speeding is an important factor in traffic safety. Speed not only affects crash severity, but is also related to the possibility of crash occurrence. This study presents results from an analysis of 27,968 speed violation cases collected from 36 red light and speed enforcement cameras at signalized intersections in the city of Cheongju. Data included details of their violation history such as speeding tickets within a recent 3-year span and their demographic characteristics. The goal of this analysis is to understand the correlation between speed violations and various factors in terms of humans, vehicles and road environments. This study used descriptive statistics and Binary Logistics Regression(BLR) analysis with SPSS 20.0 software. The major results of this study are as follows. First, speed violations occurred at rural and suburban area. Second, about 25.6% of the violators committed to more than 20km/h over a speed limit. Third, the difference between speed violators and normal drivers clearly appeared in location of intersection(urban/rural/suburban area), gender and age. Finally, a statistically significant model(Hosmer and Lemeshow test: 11.586, p-value: 0.171) was developed through the BLR.

• Journal of Korean Society of Transportation
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• v.35 no.1
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• pp.11-24
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• 2017

Although many efforts to stop speeding or inappropriate speed, it failed to reduce the number of speeding-related crashes. Therefore, it is important to analyze the characteristics of speeding offenders and the cause of speeding at hot spots. In this study, we investigate the level of severity in speeding by the characteristics of speeding offenders using the Ordered Logistics Regression Models(OLRM). For the analysis, we use the speeding data collected by 39 traffic enforcement cameras in city of Cheongju and other related data including the speeding ticket history of drivers during the most recent 3 years, their demographic characteristics, their own vehicles, and road environment factors. The major results of this study are as follows. Firstly, commercial fleet drivers are more likely to repeat the conviction of high-range speeding with more than 30km/h over speed limits than other drivers. Secondly, mid-range speeding are observed as 21,462 frequency which is 76.7% of total speeding frequency and occurred mostly at suburban and rural area. It concludes that contributory factors affecting the severity of speeding at signalized intersection are drivers' speeding offence history, posted speed limits, time of day, gender of driver, and location of the intersection as show by the OLRM developed in this study(McFadden R-square : 0.296).

• International Journal of Highway Engineering
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• v.17 no.3
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• pp.107-115
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• 2015

PURPOSES : The purposes of this study are to compare the day and night characteristics and to develop the models of traffic accidents. in Rural Signalized Intersections METHODS : To develop day and night traffic accident models using the Negative Binomial Model, which was constructed for 156 signalized intersections of rural areas, through field investigations and casualty data from the National Police Agency. RESULTS : Among a total of 17 variances, the daytime traffic accident estimate models identified a total of 9 influence factors of traffic accidents. In the case of nighttime traffic accident models, 11 influence factors of traffic accidents were identified. CONCLUSIONS : By comparing the two models, it was determined that the number of main roads was an independent factor for daytime accidents. For nighttime accidents, several factors were independently involved, including the number of entrances to sub-roads, whether left turn lanes existed in major roads, the distances of pedestrian crossings to main roads and sub-roads, lighting facilities, and others. It was apparent that if the same situation arises, the probability of an accident occurring at night is higher than during the day because the speed of travel through intersections in rural areas is somewhat higher at night than during the day.

• Journal of agriculture & life science
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• v.46 no.5
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• pp.47-55
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• 2012

Polyclonal antisera against regional (abdominal and subcutaneous) fats were developed to reduce body fat in rats. Isolation and culture of abdominal and subcutaneous adipocytes of rats were performed for analyzing lactate dehydrogenase (LDH) concentration. At the level of 1:1,000 dilution, little antibody reactivity appeared in non-immunized serum whereas both of antisera against abdominal (AAb) and subcutaneous adipocyte plasma membrane proteins (SAb) had relatively strong reactivity till the level of 1:128,000 dilutions. Compared with regional fats, extremely low reactivities of AAb and SAb were detected with PMP of the organs (p<0.001). Both AAb and SAb were most strongly reacted with each adipocyte plasma memebrane proteins and showed statistically (p<0.01) higher cross-reactivities compared with non-immunized serum based on LDH analysis. In conclusion, these results may indicate that the present polyclonal antibodies against regional inedible adipocyte plasma membrane proteins are well developed and have safety in cross-reactivities with body organs.

• Journal of Korean Society of Transportation
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• v.32 no.3
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• pp.266-279
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• 2014

For the evaluation of roadway safety, diverse methods, including before-after studies, simple comparison using historic traffic accident data, methods based on experts' opinion or literature, have been applied. Especially, many research efforts have developed traffic accident prediction models in order to identify critical elements causing accidents and evaluate the level of safety. A traffic accident prediction model must secure predictability and transferability. By acquiring the predictability, the model can increase the accuracy in predicting the frequency of accidents qualitatively and quantitatively. By guaranteeing the transferability, the model can be used for other locations with acceptable accuracy. To this end, traffic accident prediction models using non-linear regression, artificial neural network, and structural equation were developed in this study. The predictability and transferability of three models were compared using a model development data set collected from 90 signalized intersections and a model validation data set from other 33 signalized intersections based on mean absolute deviation and mean squared prediction error. As a result of the comparison using the model development data set, the artificial neural network showed the highest predictability. However, the non-linear regression model was found out to be most appropriate in the comparison using the model validation data set. Conclusively, the artificial neural network has a strong ability in representing the relationship between the frequency of traffic accidents and traffic and road design elements. However, the predictability of the artificial neural network significantly decreased when the artificial neural network was applied to a new data which was not used in the model developing.

• Proceedings of the KAIS Fall Conference
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• 2011.05a
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• pp.122-125
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• 2011

본 연구에서는 기존 교육시설에 설치된 알루미늄 합금 창의 2차원 정상상태 전열해석을 통한 열성능 평가를 수행하였다. 교육시설의 주요 창호재료로 적용된 알루미늄은 열전도율이 $175 \;Kcal/m^2h^{\circ}C$ 정도로 플라스틱 소재와 비교하여 매우 불리하여 기존 시설에 설치된 알루미늄 창호는 열손실의 주요인으로 지적되고 있다. 본 연구에서는 이러한 점에 착안하여 충남 서산지방에 위치한 대학건물의 알루미늄 합금 창호의 열성능 평가에 관한 연구를 수행하여 다음과 같은 해석 결과를 도출하였다. (1) 2차원 정상상태 전열해석을 위한 경계조건은 국토해양부고시 건축물의 에너지절약설계기준의 [별표 6] 중부지방 냉난방장치의 용량계산을 위한 설계 외기온 기준과 [별표 7]의 실내온도 기준을 적용하여 여름철 실내 $27^{\circ}C$, 실외 $31.3^{\circ}C$, 겨울철 실내 $21.0^{\circ}C$, 실외 $-9.6^{\circ}C$ 로 설정하고 해석한 결과 열관류율은 알루미늄 합금 창호는 $U=9.631 \;W/m^2K$, 복층유리 $U= 2.382 \;W/m^2K$로 여름철과 겨울철 동일한 해석결과치가 산출되었다. (2) 산출된 열관류율 해석결과를 건축물의 에너지절약설계기준 [별표 3] 열교차단재가 적용되지 않은 금속제 창의 단열성능 중 일반복층창 성능기준인 $4.0 \;W/m^2K$와 비교할 때, 알루미늄 창틀을 통하여 225%의 열량이 손실됨을 보여 주고 있다.

• Korean Journal of Environmental Agriculture
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• v.14 no.2
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• pp.155-162
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• 1995

To find out the relationship between duration of sunshine and mean air temperature, monthly climatic data were analyzed in several locations in Korea. Even though mean air temperature was high in summer, duration of sunshine was shorter than winter in Kangneung. Net radiation showed a positive correlation with duration of sunshine and its regression coefficient was the highest in July. An increasing rate of sensible heat flux according to the increment of sunshine hours was significantly high in April and October, but was low in July. In spring and fall, duration of sunshine was positively correlated with the daily temperature difference, but in summer and winter it was negatively correlated with maximum temperature and with the minimum temperature, respectively. In January, one hour increase in sunshine hour lowered the mean air temperature by 1 to $1.7^{\circ}C$.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.12 no.11
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• pp.5284-5289
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• 2011

This study focused to evaluate thermal transmittance(U-value) performance of sliding type of aluminum alloy window frame(AAWF) with double glazing(DG) and glazing spacer and that without thermal breaker in winter and summer season by two dimensional steady state heat transfer analysis. The AAWE was installed to an existing educational facilities in Seosan area which is the southern region of the Korean Peninsula. Analysis of 2D steady-state heat transfer was performed through the use of BISCO as calculation and simulation program. U-value and temperature factors were calculated. The results are as followed. First, the isotherm simulation shows that AAWF with double glazing have serious differences from recently proposed window thermal performance standards such as Insulation Performance of Windows and Doors of Building Energy Saving Design Standards and the results of calculation of thermal transmittance performance of AAWF and DG are U=9.631 W/$m^2K$, U=2.382 W/$m^2K$ respectively during winter and summer season. Second, the results of analysis of heat transfer analysis, calculated by simulation, shows that 225% of heat is lost comparing with thermal performance standards U=4.0 W/$m^2K$ of general double glazing among those standards on AAWF without thermal breaker.

• Proceedings of the Plant Resources Society of Korea Conference
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• 2019.04a
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• pp.83-83
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• 2019

아피오스(Apios americana Medikus)는 콩과에 속하는 덩굴성 식물로 원산지는 북미대륙 중동부로 알려져 있으며 지하부의 뿌리가 변형된 괴근 부위를 식용으로 하고 있다. 아피오스의 괴근은 건물당 단백질 함량이 16.5%로 감자에 비해 3배 가량 높고 지방산 함량은 4.2~4.6% 범위로 Linoleic acid가 주를 이루고 있다. 또한 감자에 비해 칼슘 함량이 10배 가량 높고 철분함량은 2배 가량 높아 기능성 건강식품으로 유망시되고 있다. 아피오스는 일교차가 큰 준고랭지역에서도 재배가능성이 높지만 최근의 기후변화에 따라 파종기의 저온피해 등으로 안정적인 입모율의 확보가 문제시 되고 있다. 준고랭지 지역에서 아피오스의 파종시기별 출현양상 및 수량성을 구명하기 위해 표고 500m의 허브산채시험장 포장에서 2018년 4월 25일, 5월 9일, 5월 16일, 5월 28일 4회 걸쳐 흑색비닐을 피복한 1줄 재배양식으로 아피오스 괴근을 파종하였다. 파종 후 30일, 50일간의 누적 출현율은 5월 18일 파종이 파종 30일 후 52.5%를 보였으며 같은 기간 동안의 유효적산온도는 $276.9^{\circ}C$ 범위였고, 5월 30일 파종에서 파종 후 30일간의 누적 출현율은 80.4%롤 보였으며 유효적산 온도는 $329.2^{\circ}C$를 나타냈다. 파종시기별 유효적산온도와 누적 출현율 간의 관계를 나타내는 관계식은 $y=0.1155{\times}1.0415$의 지수함수로 표현할 수 있었으며, 준고랭지(남원시 운봉읍)에서 2007~2017년까지의 10년간 평균기온을 기준으로 관계식을 적용한 결과 평년 기준 5월 18일 파종하는 경우 50일간 유효적산온도는 $390.5^{\circ}C$를 보였고 출현율은 55.6%가 기대되었으며 6월 11일에는 $601.5^{\circ}C$의 적산온도로 85.3%의 출현이 예상되었다. 파종시기별 총 괴근수는 5월 30일 파종에서 17.5개/주로 유의하게 적었으며 상품 괴근중 및 상품률도 유의하게 적은 경향이었고, 출현율을 고려한 단위면적당 상품 괴근수량은 5월 18일 파종에서 602.5㎏/10a로 가장 높았고 4월 25일 파종에서 348.6㎏/10a로 가장 낮아 준고랭지 아피오스 재배에서 적정 파종시기는 5월 중순으로 판단되었다.