• The Journal of The Korea Institute of Intelligent Transport Systems
• /
• v.23 no.3
• /
• pp.17-28
• /
• 2024

In this study, the capacity of the tunnel and the general section was calculated and compared using the VDS detector data, and the decrease rate in capacity of the tunnel section was analyzed by tunnel type. To compare the capacity of the tunnel and the general section, the Product Limit Method (PLM) was applied to the VDS detector data. As a result of comparing the capacity of the tunnel and general section, the capacity of the tunnel section decreased by about 6.5% compared to the general section. To classify the tunnel type, the tunnel extension and the number of lanes were used as variables, and there was a difference in the decrease rate of capacity by tunnel group classified by each criterion.

• The Journal of The Korea Institute of Intelligent Transport Systems
• /
• v.20 no.6
• /
• pp.47-54
• /
• 2021

The number of freeway traffic accidents in Korea is about 4,000 as of 2020, and deaths per traffic accident is about 3.7 times higher than other roads due to non-recurring congestion and high driving speed. Most of the accident types on freeways are side and rear-end collisions, and one of the main factors is hazard traffic flow caused by merge, diverge and accidents. Therefore, the hazard traffic flow, which appears in a continuous flow such as a freeway, can be said to be important information for the driver to prevent accidents. This study tried to classify hazard traffic flows, such as the speed change point and the section where the speed difference by lane, using individual vehicle information. The homogeneous segment of speed was classified using spatial separation based on geohash and space mean speed that can indicate the speed difference of individual vehicles within the same section and the speed deviation between vehicles. As a result, I could extract the diverging influence segment and the hazard traffic flow segment that can provide dangerous segments information of freeways.

• Proceedings of the Korea Water Resources Association Conference
• /
• 2006.05a
• /
• pp.1830-1834
• /
• 2006

본 연구에서는 강우의 수문학적 특성을 고려하여 도시지역에서의 시간분포를 분석하고, Huff의 무차원 누가곡선 및 Yen과 Chow의 무차원 특성변수를 제시하였으며, 강우의 수문학적 특성은 지속기간, 강우의 발생원인(장마, 태풍, 집중호우, 전선형 강우), 강우강도 등으로 분류하였다. 본 연구의 수행으로 인해 얻어진 결과를 요약하면 다음과 같다. 첫째, 국내 도시지역의 단시간 강우의 최대강우강도는 전방위구간에서 발생할 확률이 가장 높게 나타났으며, 둘째, 강우발생원인별 분류에서도 전반적으로 전방위구간에서, 태풍의 경우에는 후방위구간에서 최대강우강도가 발생하였다. 셋째, 평균강우강도이하의 경호우와 평균강우강도이상의 중 호우에서는 전방위구간에서 최대강우강도가 발생하였다. 넷째, 전기간 강우자료를 이용한 기존 연구들의 무차원 누가곡선 및 특성변수와의 비교를 실시하여, 수문학적 특성에 따라 무차원 누가곡선의 위치 및 특성변수의 값에서 차이가 발생한다는 것을 알 수 있었다.

• Proceedings of the Korean Environmental Sciences Society Conference
• /
• 2004.05a
• /
• pp.252-254
• /
• 2004

수영천의 식물상은 모두 38과 68속 82분류군으로 조사되었는데 수영천 본류에서는 75분류군, 온천천에서는 42분류군으로 조사되어 온천천보다는 수영천 본류에서 많은 다양한 종이 출현하였다. 수영천에서 조사된 식물 82종류중 국화과(Compositae) 식물이 10속 14종(17.1%)으로 가장 많이 조사되었고 다음으로 화본과(Gramineae) 식물이 5속 6종(7.3%), 마디풀과 (Pologonaceae) 식물이 2속 5종, 십자화과(Cruciferae) 식물이 5속 5종, 콩과(Leguminosae) 식물이 5속 5종으로 각 6.1%를 차지하으며 기타 41속 47종(57.3%)으로 조사되었는데 다른 하천변 식물의 출현양상과도 유사함을 보였다. 또한 조사된 식물 중 대부분은 수영천 본류의 하천변에서 성장하고 있었으며 온천천에서는 꽃창포(Iris ensatra)를 비롯한 7분류군이 식재되어 외관상 보기에 좋도록 조성되어져 있었고 돼지풀(Ambrosia artemisiifolia var. elatior)을 비롯한 12분류군의 귀화식물이 대부분 온천천에서 자라고 있었다. 도시화의 척도로서 이용되는 도시화 지수(UI)는 수영천 본류에서 25.3%, 온천천에서 28.6%로 다른 하천변의 도시화 지수보다 높게 조사되었다.

• Proceedings of the Korean Information Science Society Conference
• /
• 2010.06c
• /
• pp.429-432
• /
• 2010

주차장에서는 다양한 형태의 사건 사고가 발생하는데, 기존 DVR(CCTV)는 단순 영상녹화 기능만 지원하므로, 이를 효과적으로 분석하는데는 한계가 있다. 따라서, DVR의 영상카메라와 마이크를 통해서 입력되는 영상과 사운드 신호를 대상으로, 해당 영상이 발생하는 음향 신호의 종류를 파악하여, 특정 음향이 발생한 영상구간을 저장하여 이를 검색할 수 있다면, 주차장 관리자가 효과적으로 사건 사고를 대처할 수 있게 된다. 본 연구에서는 주차장에서 발생하는 차량관련 음향(충돌음, 과속음, 경적음, 유리파손, 비명)을 분류하기 위해 효과적인 특징벡터를 제안하고, 제안한 특징벡터를 이용하여 신경망 차량음향분류기를 설계하여 성능을 평가함으로써, 효과적으로 차량음향을 분류하기 위한 방법을 제안하였다. 또한, 신경망 차량음향분류기를 DVR시스템과 연동하여, 마이크로부터 입력되는 음향신호를 실시간 분석하고, 특정 소리가 발생한 영상구간을 기록함으로써, 음향 키워드에 의해서 해당 사고영상을 검색 및 디스플레이하는 시스템을 개발하였다.

• Journal of Korean Tunnelling and Underground Space Association
• /
• v.11 no.2
• /
• pp.151-162
• /
• 2009

This study proposes a new methodology for quantitative rock classification in unsampled rock zone, which occupies the most of tunnel design area. This methodology is to train an ANN (artificial neural network) by using results from a drilling investigation combined with electric resistivity survey in sampled zone, and then apply the trained ANN to making a prediction of grade of rock classification in unsampled zone. The prediction is made at the center point of a shifting window by using a number of electric resistivity values within the window as input reference information. The ANN training in this study was carried out by the RPROP (Resilient backpropagation) training algorithm and Early-Stopping method for achieving a generalized training. The proposed methodology is then applied to generate a rock grade distribution on a real tunnel site where drilling investigation and resistivity survey were undertaken. The result from the ANN based prediction is compared with one from a conventional kriging method. In the comparison, the proposed ANN method shows a better agreement with the electric resistivity distribution obtained by field survey. And it is also seen that the proposed method produces a more realistic and more understandable rock grade distribution.

• Journal of the Korean Institute of Intelligent Systems
• /
• v.17 no.6
• /
• pp.792-798
• /
• 2007

In this paper, we propose a hierarchical fuzzy-rough classification method based on statistical information for maximizing the performance of pattern classification and reducing the number of rules without learning approaches such as neural network, genetic algorithm. In the proposed method, statistical information is used for extracting the partition intervals of antecedent fuzzy sets at each layer on hierarchical fuzzy-rough classification systems and rough sets are used for minimizing the number of fuzzy if-then rules which are associated with the partition intervals extracted by statistical information. To show the effectiveness of the proposed method, we compared the classification results(e.g. the classification accuracy and the number of rules) of the proposed with those of the conventional methods on the Fisher's IRIS data. From the experimental results, we can confirm the fact that the proposed method considers only statistical information of the given data is similar to the classification performance of the conventional methods.

• Journal of the Korean GEO-environmental Society
• /
• v.3 no.3
• /
• pp.5-13
• /
• 2002

In tunnel design, geotechnical survey of over 200m tunnel depth is required because of its characteristical topography. For this reason, there are difficulties in collecting information of basic data in tunnel design because of large-scale costs in borehole tests, of limits to a geotechnical analysis by the existing refraction seismic survey and of analytical errors in steep mountainous area. Seismic tomography has many advantages as follows; 1) seismic velocity as absolute value is more reliable than electrical resistivity, 2) geotechnical analysis in deep tunnel depth is available by seismic velocity, 3) analytical errors is reduced in steep mountainous area. In this paper, it was found out a correlation of seismic velocity and Q in tunnel design in the neighborhood of the National Capital region and the reduction effect of tunnel construction cost using reliable rock quality by seismic tomography compared with by borehole data and electricity resistivity data.

• Proceedings of the Korean Institute of Intelligent Systems Conference
• /
• 1998.03a
• /
• pp.11-15
• /
• 1998

일반적으로 러프집합은 지식베이스 시스템에서 근사공간을 이용한 불확실한 데이터의 분류, 추론 및 의사결정 등에 사용된다. 지식베이스 시스템의 데이터 중에서 연속적인 구간 특성을 갖는 정량적 속성값이 불연속적일 때 중복 또는 불일치 등의 불확실성이 발생된다. 본 논문은 러프집합의 정량적 속성값들의 정성적 속성으로 변환시킬 때 식별 불가능 영역에 있는 정량적 속성값들을 명확한 경계를 갖는 보조구간으로 분리하여 불확실성을 제거함으로써 러프집합의 분류능력을 향상시키는 방법을 제안한다.

• Korean Journal of Plant Taxonomy
• /
• v.53 no.2
• /
• pp.126-147
• /
• 2023

The taxonomic identity of Elaeagnus ×maritima and E. ×submacrophylla (Elaeagnaceae) in Korea is unclear, yet they are presumed to be hybrid taxa based on their morphology. To determine their hybrid origins, a morphological analysis (field surveys and specimen examinations) and a molecular analysis involving two nuclear ribosomal DNA (nrDNA) regions (internal transcribed spacer and 5S non-transcribed spacer) and one chloroplast DNA (cpDNA) region (matK) were conducted. The morphological analysis revealed that E. ×maritima showed certain morphological similarities to E. glabra, whereas E. ×submacrophylla showed certain morphological similarities to E. pungens. However, the molecular analysis indicated that E. ×maritima exhibited additive species-specific sites of E. glabra and E. macrophylla in the nrDNA regions. Notably, E. ×submacrophylla showed various aspects, with some individuals exhibiting additive species-specific sites of E. pungens and E. macrophylla in the nrDNA and E. macrophylla sequences in the cpDNA regions, some individuals exhibiting E. macrophylla sequences in the nrDNA and E. pungens sequences in the cpDNA regions, and some individuals displaying E. macrophylla sequences in both the nrDNA and cpDNA regions, despite an intermediate morphology between E. pungens and E. macrophylla. These results indicate that these two species are of hybrid origin and frequently cross between parental and hybrid individuals.