• Journal of Korean Society of Transportation
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• v.22 no.7 s.78
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• pp.119-129
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• 2004

This paper is designed to report the results of development and validation procedures in relation to the Freeway Incident Management System (FIMS) prototype development as part of Intelligent Transportation Systems Research and Development program. The central core of the FIMS is an integration of the component parts and the modular, but the integrated system for freeway management. The whole approach has been component-orientated, with a secondary emphasis being placed on the traffic characteristics at the sites. The first action taken during the development process was the selection of the required data for each components within the existing infrastructure of Korean freeway system. After through review and analysis of vehicle detection data, the pilot site led to the utilization of different technologies in relation to the specific needs and character of the implementation. This meant that the existing system was tested in a different configuration at different sections of freeway, thereby increasing the validity and scope of the overall findings. The incident detection module has been performed according to predefined system validation specifications. The system validation specifications have identified two component data collection and analysis patterns which were outlined in the validation specifications; the on-line and off-line testing procedural frameworks. The off-line testing was achieved using asynchronous analysis, commonly in conjunction with simulation of device input data to take full advantage of the opportunity to test and calibrate the incident detection algorithms focused on APID, DES, DELOS and McMaster. The simulation was done with the use of synchronous analysis, thereby providing a means for testing the incident detection module.

• Journal of the Korean Society of Groundwater Environment
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• v.6 no.2
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• pp.59-65
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• 1999

Both the groundwater changes due to different pumping rates and the geochemistry of thermal waters in the Suanbo area are considered in this study. The observation of groundwater level change since 1991 shows that the change is directly correlated with pumping rates of thermal waters and reveals the retardation of ca. 5 weeks after pumping. The hydrogeological aquifer in the area is under reducing condition. The thermal waters are of Na-HCO$_3$ type. and are alkaline (pH=8.5∼8.7) with low TDS values (274∼284 mg/l) and high concentrations of Na (68∼72 mg/l). F (6.4∼8.9 mg/l), and HCO$_3$(136∼146 mg/l). Oxygen and hydrogen isotope ratios of thermal water indicate a meteoric water origin. The activities of Rn-222 and Ra-226 in both thermal water and local groundwater were determined to delineate possible geochemical controls on the Rn-222 and Ra-226. The Rn-222 concentrations are several orders of magnitude greater than the Ra-226 concentrations. The concentrations of Rn-222 range from 190 to 7.490 pCi/1 with an average of 2,522 pCil/l. and those of Ra-226 average 0.32 pCi/1 with the range from 0.25 to 0.42 pCi/1. The concentrations of Rn-222 and Ra-226 are inversely correlated with EC and alkalinity. The pH it positively correlated with Ra-226. The correlation between Rn-222 and Ra-226 is poor. Thermal waters in the study area are produced from highly fractured phyllite. The thermal water qualify. CSAMT (controled-source audiofrequency magnetotelluric) prospecting, and petrological evidences, however, indicate that the heat is possibly transmitted through deep normal faults reaching a deep granite batholith, and the phyllite acts only as a groundwater pathway.

• Journal of Korean Society of Transportation
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• v.22 no.7 s.78
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• pp.155-159
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• 2004

Recently, there are many trials about Artificial neural networks : ANNs structure and studying method of researches for forecasting traffic volume. ANNs have a powerful capabilities of recognizing pattern with a flexible non-linear model. However, ANNs have some overfitting problems in dealing with a lot of parameters because of its non-linear problems. This research deals with the application of a variety of model selection criterion for cancellation of the overfitting problems. Especially, this aims at analyzing which the selecting model cancels the overfitting problems and guarantees the transferability from time measure. Results in this study are as follow. First, the model which is selecting in sample does not guarantees the best capabilities of out-of-sample. So to speak, the best model in sample is no relationship with the capabilities of out-of-sample like many existing researches. Second, in stability of model selecting criterion, AIC3, AICC, BIC are available but AIC4 has a large variation comparing with the best model. In time-series analysis and forecasting, we need more quantitable data analysis and another time-series analysis because uncertainty of a model can have an effect on correlation between in-sample and out-of-sample.

• Journal of Korean Society of Transportation
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• v.22 no.3 s.74
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• pp.145-157
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• 2004

The cycle length design model of the Korean traffic responsive signal control systems is devised to vary a cycle length as a response to changes in traffic demand in real time by utilizing parameters specified by a system operator and such field information as degrees of saturation of through phases. Since no explicit guideline is provided to a system operator, the system tends to include ambiguity in terms of the system optimization. In addition, the cycle lengths produced by the existing model have yet been verified if they are comparable to the ones minimizing delay. This paper presents the studies conducted (1) to find shortcomings embedded in the existing model by comparing the cycle lengths produced by the model against the ones minimizing delay and (2) to propose a new direction to design a cycle length minimizing delay and excluding such operator oriented parameters. It was found from the study that the cycle lengths from the existing model fail to minimize delay and promote intersection operational conditions to be unsatisfied when traffic volume is low, due to the feature of the changed target operational volume-to-capacity ratio embedded in the model. The 64 different neural network based cycle length design models were developed based on simulation data surrogating field data. The CORSIM optimal cycle lengths minimizing delay were found through the COST software developed for the study. COST searches for the CORSIM optimal cycle length minimizing delay with a heuristic searching method, a hybrid genetic algorithm. Among 64 models, the best one producing cycle lengths close enough to the optimal was selected through statistical tests. It was found from the verification test that the best model designs a cycle length as similar pattern to the ones minimizing delay. The cycle lengths from the proposed model are comparable to the ones from TRANSYT-7F.

• Proceedings of the Korean Information Science Society Conference
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• 2006.10d
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• pp.268-273
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• 2006

차세대 무선 네트워크 (4G)는 새로운 무선 접속 기술의 개발과 함께 많은 연구가 필요한 분야이다. 그 중에서 특히 단말의 끊김없는 이동성을 제공해 주기 위한 핸드오버 기술이 가장 중요하다고 할 수 있다. 차세대 무선 네트워크는 새로운 무선 접속 기술과 함께 기존의 무선랜이나 이동통신망 등과 같이 사용될 것으로 예상되며, 네트워크 계층에서의 이동성 지원을 위하여 Mobile IPv6를 사용할 것으로 예상되는 네트워크이다. 이러한 네트워크에서 끊김없는 이동성을 제공해 주기 위해서는 현재까지 연구된 핸드오버 기능 및 구조에 대한 연구와 함께 보다 다양해진 네트워크 환경과 QoS 등을 고려한 종합적인 핸드오버 기능에 대한 연구가 필요하다. 본 논문에서는 차세대 무선 네트워크에서 단말의 끊김없는 핸드오버를 제공해 주기 위하여 필요한 기능들을 도출하고, 이들간의 유기적인 연관관계를 정의하여 다양한 네트워크 환경과 사용자의 우선순위, 어플리케이션의 QoS 요구 조건 등을 고려한 종합적인 핸드오버 기능 구조를 제안하고자 한다. 제안하는 핸드오버 구조는 Monitoring, Triggering, Handover의 세 가지 module로 나뉘어져 있으며, 각각은 필요에 따라 sub-module로 다시 세분화된다. 제안하는 핸드오버 구조의 가장 큰 특징은 핸드오버를 유발시킬 수 있는 여러 가지 요소를 종합적으로 고려하며 이들간의 수평적인 비교가 아닌 다단계 비교를 수행하여 보다 정확한 triggering이 가능하도록 한다. 또한 단말의 QoS 요구 사항을 보장하고 네트워크의 혼잡도(congestion) 및 부하 조절 (load balancing)을 위한 기능을 핸드오버 기능에 추가하여 효율적인 네트워크의 자원 사용이 가능하도록 설계하였다.서버로 분산처리하게 함으로써 성능에 대한 신뢰성을 향상 시킬 수 있는 Load Balancing System을 제안한다.할 때 가장 효과적인 라우팅 프로토콜이라고 할 수 있다.iRNA 상의 의존관계를 분석할 수 있었다.수안보 등 지역에서 나타난다 이러한 이상대 주변에는 대개 온천이 발달되어 있었거나 새로 개발되어 있는 곳이다. 온천에 이용하고 있는 시추공의 자료는 배제하였으나 온천이응으로 직접적으로 영향을 받지 않은 시추공의 자료는 사용하였다 이러한 온천 주변 지역이라 하더라도 실제는 온천의 pumping 으로 인한 대류현상으로 주변 일대의 온도를 올려놓았기 때문에 비교적 높은 지열류량 값을 보인다. 한편 한반도 남동부 일대는 이번 추가된 자료에 의해 새로운 지열류량 분포 변화가 나타났다 강원 북부 오색온천지역 부근에서 높은 지열류량 분포를 보이며 또한 우리나라 대단층 중의 하나인 양산단층과 같은 방향으로 발달한 밀양단층, 모량단층, 동래단층 등 주변부로 NNE-SSW 방향의 지열류량 이상대가 발달한다. 이것으로 볼 때 지열류량은 지질구조와 무관하지 않음을 파악할 수 있다. 특히 이러한 단층대 주변은 지열수의 순환이 깊은 심도까지 가능하므로 이러한 대류현상으로 지표부근까지 높은 지온 전달이 되어 나타나는 것으로 판단된다.의 안정된 방사성표지효율을 보였다. $^{99m}Tc$-transferrin을 이용한 감염영상을 성공적으로 얻을 수 있었으며, $^{67}Ga$-citrate 영상과 비교하여 더 빠른 시간 안에 우수한 영상을 얻을 수 있었다. 그러므로 $^{99m}Tc$-transierrin이 감염 병소의 영상진단에 사용될 수 있을 것으로 기대된다.리를 정량화 하였다. 특히 선

• Proceedings of the Korea Water Resources Association Conference
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• 2023.05a
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• pp.65-65
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• 2023

최근 기후변화로 인해 홍수, 가뭄 등 수재해가 세계 곳곳에서 빈번하게 발생하고 있다. 이로 인해 정확한 강우-유출 해석의 중요도는 높아지고 있으며 강우-유출 해석에 따라 수자원 관리 및 계획수립의 정도가 달라질 수 있다. 본 연구 대상 지역인 메콩강 유역은 중국과 동남아시아 5개국(라오스, 태국, 미얀마, 베트남, 캄보디아)을 관통하는 국가공유하천으로 기초자료의 획득이 어렵고 국가별로 구축된 자료가 질적, 양적 품질이 상이하여 수문해석에서의 기초자료로 사용하기에 불확실성이 있다. 최근 기술의 발달로 글로벌 격자형 강수자료 획득이 용이함에 있어 미계측 대유역에서의 다양한 연구들이 수행되고 있지만, 지점강수자료와 시·공간적 오차로 인한 불확실성을 내포하고 있다. 이에 본 연구에서는 글로벌 격자형 강수자료의 적용성을 평가하기 위하여 지점 격자형 강수자료(APHRODITE)와 4개의 위성강수자료(CHIRPS, CMORPH, PERSIANN-CDR, TRMM)를 수집하고 합성곱 신경망 모형인 ConvAE 기법을 이용하여 위성강수자료의 시·공간 편의 보정을 수행하였다. 또한, 하천 수위에 대한 장기간 정보 수집이 가능한 메콩강 본류 4개 관측소(Luang Prabang, Pakse, Stung Treng, Kratie)를 선정하였으며 SWAT 모형을 이용하여 매개변수 보정(2004~2013)과 격자형 강수자료의 보정 전·후의 유출모의(2014~2015) 결과를 비교·분석하였다. 격자형 강우를 이용한 보정 및 유출 분석 결과 4개의 위성강수자료 모두 성능이 향상되었으며 그 중 보정된 TRMM이 가장 우수한 성능을 보여 해당 유역에서의 APHRODITE를 대체할 수 있다고 판단하였다. 따라서 본 연구에서 제시하는 ConvAE를 이용한 보정기법과 이를 이용한 강우-유출 해석은 향후 다양한 격자형 강수자료를 활용한 미계측 대유역에서의 수문해석에서 활용이 가능할 것으로 판단된다.

• Korean Journal of Food Science and Technology
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• v.15 no.2
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• pp.108-111
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• 1983

High performance liquid chromatography (HPLC) was applied to the analysis of triglycerides of rice bran oil. The triglycerides were clearly separated in five peaks by HPLC on a column packed with ${\mu}-Bondapack$ C18 using methanol-chloroform mixture as a solvent. Compositions of the triglyceride and fatty acid of the fraction was also analyzed by gas liquid chromatography (GLC). Each of these collected fractions gave three to four peaks in the GLC chromatograms according to the carbon number of the triglyceride. The fitty acid compositions of these triglycerides were mainly composed of C16:0, C18:1 and C18:2 fatty acids. The major triglycerides of the rice bran oil were found to be those of (C16:0, C18:1, C18:2;16.64%), $(2{\times}C18:1,\;C18:2;16.18%)$, $(3{\times}C18:1;13.7%)$, $(C16:0,\;2{\times}C18:1;12.77%)$,$(C18:1,\;2{\times}C18:2;9.16%)$ and $(C16:0,\;2{\times}C18:2;6.42%)$

• Korean Journal of Food Science and Technology
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• v.15 no.1
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• pp.66-69
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• 1983

Triglyceride fraction was separated from olive oil by thin layer chromatography (TLC) and fractionated into four groups by high performance liquid chromatography (HPLC). Compositions of the triglycerides and fatty acids of four fractions were determined by gas liquid chromatography (GLC). The olive oil contained higher concentrations of C-52 and C-54 triglycerides having partition numbers of 48. The fatty acid compositions of these triglycerides were mainly composed of C18:1 and C18:2 fatty acids. From these results, the possible fatty acid combinations of major triglycerides of olive oil were estimated to be(3C18:1;50.6%), (1C16:0, 2C18:1;23.51%), (2C18:1, 1C18:2;5.48%), (1C18:0, 2 18:1;4.55%), (1C16:0, 1C18:1, 1C18:2;2.94%), (2C16:0, 1C18:1;2.35%), (1 C16:1, 2 C18:1;2.21%), (1C18:1, 2C18:2;1.06%), (1 C14:0, 2 C18:1;1.03%).

• Korean Journal of Food Science and Technology
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• v.14 no.3
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• pp.226-231
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• 1982

In order to define triglyceride compositions in fat and oil triglycerides were separated by thin layer chromatography (TLC) from corn oil, and the separated triglycerides were graduated according to each partition number(PN) by high performance liquid chromatography (HPLC) using column of ${\mu}-Bondapack\;C_{18}$ and each graduation was graduated again according to acylcarbon number by gas liquid chromatography(GLC). Fatty acid compositions were analyzed by GLC after their graduation were methylated in according to PN. The triglyceride compositions were estimated by synthesizing the above three results. The estimated triglycerides consisted of 36 kinds in corn oil. The major triglyceride compositions of sample oil were as follows: 21.5%$(C_{18:2},\;C_{18:2},\;C_{18:1})$, 17.4%$(C_{18:1},\;C_{18:2},\;C_{18:1})$, 15.4%$(C_{18:1},\;C_{18:2},\;C_{16:0})$, 11.1%$(C_{16:0},\;C_{18:2},\;C_{18:2})$, 9.0%$(C_{18:1},\;C_{18:1},\;C_{18:1})$, 8.0%$(C_{18:2},\;C_18:2},\;C_{18:2})$, 5.7%$(C_{18:1},\;C_{18:1},\;C_{16:0})$, 2.2%$(C_{16:0},\;C_{16:0},\;C_{18:2})$, 1.6%$(C_{18:2},\;C_{18:2},\;C_{18:2})$, 1.1%$C_{18:2},\;C_{18:0},\;C_{16:0})$, 1.1%$(C_{16:0},\;C_{16:0},\;C_{18:1})$.

• Korean Journal of Food Science and Technology
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• v.14 no.3
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• pp.219-225
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• 1982

Triglycerides of cottonseed oil were separated by thin layer chromatography (TLC), and fractionated by high-performance liquid chromatography (HPLC) on the basis of partition numbers. From each fraction, it was fractionated again on the basis of acyl carbon numbers using gas liquid chromatography (GLC). The fatty acids of triglyceride for each partition number group were analyzed by GLC. From, these results, triglyceride constituents of cotton seed oil were estimated to be 37 kinds of triglycerides. The major triglycerides and their contents in cotton seed oil were as follows: 25.8%$(C_{16:0},\;C_{18:2},\;C_{18:2})$, 15.5%$(C_{18:2},\;C_{18:2},\;C_{18:2})$, 13.8%$(C_{16:0},\;C_{18:2},\;C_{16:0})$, 8.3%$(C_{18:2},\;C_{18:1},\;C_{18:2})$, 6.2%$(C_{18:2},\;C_{18:1},\;C_{18:1})$, 4.1%$(C_{18:1},\;C_{18:1},\;C_{14:0})$, 3.4%$(C_{16:0},\;C_{18:1},\;C_{16:0})$, 2.3%$(C_{18:1},\;C_{18:2},\;C_{16:0})$, 2.2%$(C_{18:1},\;C_{18:1},\;C_{18:1})$, 1.0%$(C_{14:0},\;C_{18:2},\;C_{18:1})$.