• Journal of Forest and Environmental Science
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• v.24 no.2
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• pp.99-109
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• 2008

This study conducted 6 times of roadkill investigations in national road 121 km (about 10%) of Chungcheongnam-do. As a result of the investigation, 94 individuals were found dead on the road. The roadkill statuses by construction of road were 44 times (1.13 times/km) at two traffic lanes, 1 time (1.90 times/km) at three lanes, and 23 times (0.35 times/km) at four traffic lanes. Also, land use on the frequency of roadkill were 26 times between mountain region and cultivated land, 25 times between cultivated land and cultivated land, and 20 times between mountain region and mountain region. So, particular attention is needed at the construction and facilities of road to reduce roadkill.

• Journal of the Korean Society of Environmental Restoration Technology
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• v.6 no.5
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• pp.48-58
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• 2003

This study was carried out to select proper species for early stage replantation in granite forest road cut-slope. From one to thirteen year elapsed forest roads in five regional areas of Chungcheong-do and Kyungsangbuk-do, sample plots were selected, and their vegetations and environmental factors were investigated. Soil organic matter, total nitrogen, soil moisture content, and bulk density in the granite weathering soils were below 0.5%, 0.02%, 10%, and above 1.2g/$cm^3$, respectively. The environmental factors affecting distribution of species in the granite forest road were the elapsed year, elevation, cut-slope aspect, and cut-slope. Sowing plants of Dactylis glomerata, Lolium perenne, and Eragrostis curvula were found in the early stage of forest road-cut. Annual herbs of Youngia denticulata, Erigeron annuus, etc. were found in the 2-3 years elasped forest road-cut. Perennial herbs of Artemisia princeps var. orientalis, Miscanthus sinensis, etc., parachute woody plants of Weigela subsessilis, Pinus densiflora, etc., and gravitative trees of Prunus sargentii, Lindera obtusiloba, Quercus sp., etc. were found in the forest road cut-slope after 3 years of road-cut. Leguma of Lespedeza cureata, Amorpha fruticosa, Lespedeza bicolor, Pueraria thunbergiana, Albizzia julibrissin, etc., herbs of Artemisia keiskeana, Artemisia princeps var. orientalis, Miscanthus sinensis, etc., and woody plants of Rubus crataegifolius, Weigela subsessilis, Zanthoxylum schinifolium, Pinus densiflora, etc. were considered as proper species for replantation in granite forest road cut-slope.

• Geomechanics and Engineering
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• v.35 no.5
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• pp.511-523
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• 2023

Canal-side roads frequently collapse due to an unexpectedly greater soft-clay thickness with a rapid drawdown situation. This causes annually increased repair and reconstruction costs. This paper aims to explore the effect of soft-clay thickness on the failure in the canal-side road in the case study of Phra Nakhon Si Ayutthaya rural road no. 1043 (AY. 1043). Before the actual construction, a field vane shear test was performed to determine the undrained shear strength and identify the thickness of the soft clay at the AY. 1043 area. After establishing the usability of AY. 1043, the resistivity survey method was used to evaluate the thickness of the soft clay layer at the failure zone. The screw driving sounding test was used to evaluate the undrained shear strength for the road structure with a medium-stiff clay layer at the failure zone for applying to the numerical model. This model was simulated to confirm the effect of soft-clay thickness on the failure of the canal-side road. The monitoring and testing results showed the tendency of rapid drawdown failure when the canal-side road was located on > 9 m thick of soft clay with a sensitivity > 4.5. The result indicates that the combination of resistivity survey and field vane shear test can be successfully used to inspect the soft-clay thickness and sensitivity before construction. The preliminary design for preventing failure or improving the stability of the canal-side road should be considered before construction under the critical thickness and sensitivity values of the soft clay.

• Proceedings of the KSRS Conference
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• 2002.10a
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• pp.17-22
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• 2002

This paper is concerned with a local detection of road on an airborne SAR image. The roads can be characterized by their geometry and radiometry. Roads are assumed as linear, thin, and elongated objects that are darker than their surroundings on an airborne SAR image. With these assumptions, a series of morphological filters are applied and tested successively. This approach is simple and almost non parametric and has been successfully applied to an airborne SAR image.

• Journal of the Korean Society of Safety
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• v.30 no.6
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• pp.139-147
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• 2015

This study deals with actual commuting distance and influence of risk factors depending on commuting distance and mode in order to reestablish actual commuting zone of primary school students. Data mining analysis(CHAID) was applied for this reestablishment using survey results from 6,927 primary school students in Seoul Metro. Six risk factors; convenience level of commuting path condition, convenience level of road crossing condition, vehicle speed on commuting path, segregation level between commuter and vehicle, congestion level of commuting path, and public security level and two mode; walking and cycle are considered in the analysis. As the results of CHAID analysis, commuting distance was divided into four zones; Internal Zone(0.491km under), External Zone(0.492 ~ 1.492km, 1.493 ~ 2.699km), Commutable Zone(2.70km over), and awareness level on safety is declined as commuting distance is increased. The risk factor affecting on safety is recognized differently by students depending on commuting distance and mode. For students commuting by walking, vehicle speed on commuting path and convenience level of commuting path condition are recognized as the prime risk factor within Internal Zone and Commutable Zone, respectively. For students commuting by cycle, convenience level of road crossing condition and vehicle speed on commuting path are recognized as the prime risk factor within Commutable Zone. Analysis results show that improved plan and program for commuting path for primary school students are required considering actual commuting distance and method.

• Journal of Sensor Science and Technology
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• v.28 no.2
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• pp.94-100
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• 2019

Drivable area detection is a major task in advanced driver assistance systems. For drivable area detection, several studies have proposed vision-sensor-based approaches. However, conventional drivable area detection methods that use vision sensors are not suitable for environments with changes in road elevation. In addition, if the boundary between the road and vegetation is not clear, judging a vegetation area as a drivable area becomes a problem. Therefore, this study proposes an accurate method of detecting drivable areas in environments in which road elevations change and vegetation exists. Experimental results show that when compared to the conventional method, the proposed method improves the average accuracy and recall of drivable area detection on the KITTI vision benchmark suite by 3.42%p and 8.37%p, respectively. In addition, when the proposed vegetation area removal method is applied, the average accuracy and recall are further improved by 6.43%p and 9.68%p, respectively.

• Proceedings of the Korea Society of Design Studies Conference
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• 2004.05a
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• pp.332-333
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• 2004

• Macromolecular Research
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• v.15 no.2
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• pp.129-133
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• 2007

Significant progress has been realized in the design and synthesis of light emitting polymers that emit over the entire visible spectrum. However, up to seventy-five percent of charge recombination events can lead to triplet states that decay non-radiatively. Following the pioneering work in the field of small molecule organic light emitting devices, it has been found that solution processible iridium polymer complexes can be used to harness the wasted triplet energy. In this paper, new results with respect to the electrophosphorescence of solution processible tethered iridium polymer derivatives are presented. Furthermore, our approaches to the design of new high triplet energy conjugated polymer hosts are also reported.

• Journal of Auto-vehicle Safety Association
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• v.16 no.3
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• pp.79-88
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• 2024

The study aims to introduce three new lighting device technologies designed to improve the visibility and awareness of stopped school buses, especially during nighttime, to enhance the safety of children boarding and disembarking. Recent accidents involving various school transportation vehicles underscore the need for effective child safety signals. Analysis of traffic accident data from the Korea Road Traffic Authority's system indicates significant differences between daytime and nighttime incidents. Existing research suggests current lighting devices are inadequate in safeguarding children. Therefore, the study seeks to propose new technologies that better alert surrounding drivers to stopped school buses, compared to existing devices, and explore factors influencing the adoption of technologies like road projections, VMS, and line lamps.

• Journal of Electrical Engineering and Technology
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• v.10 no.4
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• pp.1836-1842
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• 2015

On road networks, the clustering of moving objects is important for traffic monitoring and routes recommendation. The existing schemes find out density route by considering the number of vehicles in a road segment. Since they don’t consider the features of each road segment such as width, length, and directions in a road network, the results are not correct in some real road networks. To overcome such problems, we propose a clustering method for congested routes discovering from the trajectories of moving objects on road networks. The proposed scheme can be divided into three steps. First, it divides each road network into segments with different width, length, and directions. Second, the congested road segments are detected through analyzing the trajectories of moving objects on the road network. The saturation degree of each road segment and the average moving speed of vehicles in a road segment are computed to detect the congested road segments. Finally, we compute the final congested routes by using a clustering scheme. The experimental results showed that the proposed scheme can efficiently discover the congested routes in different directions of the roads.