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Development of VPPE-BE Testing System to Evaluate Modulus under Post-Compaction Variation in Matric Suction for Unsaturated Compacted Soils (다짐지반의 모관흡수력 변화에 따른 탄성계수 평가를 위한 VPPE-BE 시험 시스템 개발)

  • Lee, Sei-Hyun;Seo, Won-Seok;Choo, Yun-Wook;Kim, Dong-Soo
    • Journal of the Korean Geotechnical Society
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    • v.24 no.5
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    • pp.117-127
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    • 2008
  • The volumetric pressure plate extractor (VPPE) was modified for the measurement of shear wave velocity ($V_s$) at various levels of matric suction as well as soil water characteristic curve (SWCC). A non-destructive technique with a pair of bender element (BE) was employed in order to measure the $V_s$ and the corresponding maximum shear modulus ($G_{max}$) of unsaturated soil specimens. Three types of soil were collected from different road construction sites in Korea. For all test soils, the variations in $G_{max}$ with the various levels of water content and matric suction were investigated using the developed apparatus. Compared with the preceding results from the suction-controlled torsional shear (TS) testing system and in-situ seismic tests, the feasibility fur evaluating modulus characteristics of unsaturated compacted soils with the developed VPPE-BE system was assessed. It was confirmed that the newly developed system would be potentially helpful in modeling seasonal variation of modulus.

Comparison of Machine Learning Models to Predict the Occurrence of Ground Subsidence According to the Characteristics of Sewer (하수관로 특성에 따른 지반함몰 발생 예측을 위한 기계학습 모델 비교)

  • Lee, Sungyeol;Kim, Jinyoung;Kang, Jaemo;Baek, Wonjin
    • Journal of the Korean GEO-environmental Society
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    • v.23 no.4
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    • pp.5-10
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    • 2022
  • Recently, ground subsidence has been continuously occurring in downtown areas, threatening the safety of citizens. Various underground facilities such as water and sewage pipelines and communication pipelines are buried under the road. It is reported that the cause of ground subsidence is the deterioration of various facilities and the reckless development of the underground. In particular, it is known that the biggest cause of ground subsidence is the aging of sewage pipelines. As an existing study related to this, several representative factors of sewage pipelines were selected and a study to predict the risk of ground subsidence through statistical analysis has been conducted. In this study, a data SET was constructed using the characteristics of OO city's sewage pipe characteristics and ground subsidence data, The data set constructed from the characteristics of the sewage pipe of OO city and the location of the ground subsidence was used. The goal of this study was to present a classification model for the occurrence of ground subsidence according to the characteristics of sewage pipes through machine learning. In addition, the importance of each sewage pipe characteristic affecting the ground subsidence was calculated.

A Study on the Development of Urban Roads Convoy Driving Service and Effect Analysis (도시부 도로 호송주행(Convoy Driving) 서비스 개발 및 효과분석)

  • Son, Seung-neo;Lee, Ji-yeon;Cho, Yong-sung;Park, Ji-hyeok;So, Jae-hyun(Jason)
    • The Journal of The Korea Institute of Intelligent Transport Systems
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    • v.21 no.1
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    • pp.51-63
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    • 2022
  • Convoy driving is one of the technologies of multi-vehicle cooperation driving along with platoon driving. All over the world, research on vehicle control mechanisms to maintain vehicle formation during convoy driving convoy driving has been actively conducted and in Europe's Autonet 2030 project has developed and demonstrated convoy driving services for highways. But, even the concept of convoy driving is still insufficient in Korea. Therefore, in this study, the concept of convoy driving service was established and scenarios and communication messages for service application on urban roads were developed. And its effectiveness was verified through simulation analysis. As a result of comparing and analyzing individual vehicle cooperative driving and convoy driving for the blind spot support service and dilemma zone safety support service, which are representative V2I cooperative driving services on urban roads, the number of conflicts(indicator of traffic safety) and delays and stops(indicator of traffic efficiency) are significantly improved in convoy driving compared to individual vehicle cooperative driving.

Deep-learning-based GPR Data Interpretation Technique for Detecting Cavities in Urban Roads (도심지 도로 지하공동 탐지를 위한 딥러닝 기반 GPR 자료 해석 기법)

  • Byunghoon, Choi;Sukjoon, Pyun;Woochang, Choi;Churl-hyun, Jo;Jinsung, Yoon
    • Geophysics and Geophysical Exploration
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    • v.25 no.4
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    • pp.189-200
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    • 2022
  • Ground subsidence on urban roads is a social issue that can lead to human and property damages. Therefore, it is crucial to detect underground cavities in advance and repair them. Underground cavity detection is mainly performed using ground penetrating radar (GPR) surveys. This process is time-consuming, as a massive amount of GPR data needs to be interpreted, and the results vary depending on the skills and subjectivity of experts. To address these problems, researchers have studied automation and quantification techniques for GPR data interpretation, and recent studies have focused on deep learning-based interpretation techniques. In this study, we described a hyperbolic event detection process based on deep learning for GPR data interpretation. To demonstrate this process, we implemented a series of algorithms introduced in the preexisting research step by step. First, a deep learning-based YOLOv3 object detection model was applied to automatically detect hyperbolic signals. Subsequently, only hyperbolic signals were extracted using the column-connection clustering (C3) algorithm. Finally, the horizontal locations of the underground cavities were determined using regression analysis. The hyperbolic event detection using the YOLOv3 object detection technique achieved 84% precision and a recall score of 92% based on AP50. The predicted horizontal locations of the four underground cavities were approximately 0.12 ~ 0.36 m away from their actual locations. Thus, we confirmed that the existing deep learning-based interpretation technique is reliable with regard to detecting the hyperbolic patterns indicating underground cavities.

Improvement of sound insulation performance of windows according to the specifications of the external electric blinds (외부 전동블라인드의 사양에 따른 창호 차음성능 개선 효과)

  • Min-Woo, Kang;Hee-Dong, Lee;Yang-Ki, Oh
    • The Journal of the Acoustical Society of Korea
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    • v.41 no.6
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    • pp.621-628
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    • 2022
  • The most realistic way to reduce noise outside the building, such as road traffic noise and aircraft noise, is to strengthen the sound insulation performance at the sound collecting points such as balconies, windows, and exterior walls of each building. However, in light of the reality that shading devices outside buildings are not yet widely used, there are not many studies on sound insulation performance improvement using external windows and window devices such as louvers and blinds. In particular, external blinds can not only block the inflow of strong sunlight in the morning and evening from the outside of the building, but also target the sound insulation effect that blocks the peak noise that occurs during commuting hours. In this study, a study was conducted to improve sound insulation performance against external noise by using an external electric blind (EEB), which is one of the most efficient window and door external shading devices. Various sound insulation performance tests were conducted while changing the configuration of external electric blinds developed for light blocking purposes. Through this, it was verified that an additional sound insulation performance of 6 dB can be obtained by installing an external electric blind compared to the reduction performance of general windows.

Development of Deep Learning Model for Detecting Road Cracks Based on Drone Image Data (드론 촬영 이미지 데이터를 기반으로 한 도로 균열 탐지 딥러닝 모델 개발)

  • Young-Ju Kwon;Sung-ho Mun
    • Land and Housing Review
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    • v.14 no.2
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    • pp.125-135
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    • 2023
  • Drones are used in various fields, including land survey, transportation, forestry/agriculture, marine, environment, disaster prevention, water resources, cultural assets, and construction, as their industrial importance and market size have increased. In this study, image data for deep learning was collected using a mavic3 drone capturing images at a shooting altitude was 20 m with ×7 magnification. Swin Transformer and UperNet were employed as the backbone and architecture of the deep learning model. About 800 sheets of labeled data were augmented to increase the amount of data. The learning process encompassed three rounds. The Cross-Entropy loss function was used in the first and second learning; the Tversky loss function was used in the third learning. In the future, when the crack detection model is advanced through convergence with the Internet of Things (IoT) through additional research, it will be possible to detect patching or potholes. In addition, it is expected that real-time detection tasks of drones can quickly secure the detection of pavement maintenance sections.

The Verification Of Green Soil Material Characteristics For Slope Protection (사면 보호를 위한 녹생토 재료 특성 검증)

  • Lee, Byung-Jae;Heo, Hyung-Seok;Noh, Jae-Ho;Jang, Young-Il
    • Asia-pacific Journal of Multimedia Services Convergent with Art, Humanities, and Sociology
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    • v.7 no.6
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    • pp.681-692
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    • 2017
  • In recent years, large-scale construction projects such as road pavement construction and new city construction have been carried out nationwide with by the expansion of social overhead facilities and base on the economic development planning, resulting in a rapid increase in artificial slope damage. The existing vegetation-based re-installation method of the slope surface greening method reveals various problems such as lack of bonding force, drying, and lack of organic matter. In this study, research was carried out using vegetation-based material and environmentally friendly soil additives, were are used in combination with natural humus, Bark compost, coco peat, and vermiculite. Uniaxial compressive strength was measured according to the mixing ratio of soil additives and the strength was analyzed. Experiments were carried out on the characteristics of the soil material to gauge the slope protection properties by using the soil compaction test method wherein the soil and the soil additive materials are mixed in relation to the soil height, the number of compaction, the compaction method (layer) and the curing condition. As a result of the experiment, excellent strength performance was demonstrated in soil additives using gypsum cement, and it satisfied vegetation growth standards by using performance enhancer and pH regulator. It was confirmed that the strength increases with the mixing of soil and soil additive, and the stability of slope protection can be improved.

Exploration of the Dance Career Intervention by AHP Method: Focusing on Vocational Guidance, Career Education and Career Counseling (AHP분석을 활용한 무용진로개입의 체계적 접근 방안 : 직업지도, 진로교육 및 상담을 중심으로)

  • Kim, Ji Young;Lim, Su Jin;Kim, Hyoung Nam
    • 한국체육학회지인문사회과학편
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    • v.55 no.6
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    • pp.661-676
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    • 2016
  • The purpose of this study is to draw a systematic access method of career intervention for dance majors. This study conducted Delphi survey and Analytic Hierarchy Process(AHP). As a result of study, 16 elements of career intervention were produced in total 4 areas. Results show that vocational guidance puts emphasis on the understanding of the various vocations, career education on the career planning and goal, career counseling on the macro-narrative to the life and career intervention network on the dance job fair and workshop. In the complex weight of all factors, ratings of weight show that dance vocation guidance and career education are demanded significantly. Results show that expansion of career alternatives, application of diversified dance career development road map to the curriculum, development of test tool and outcome standard, dance educators' systematic career intervention education and systematization of network for career support were suggested as measures for dance career intervention. This study discussed about dynamic reality and systematic access method for dance majors based on theories of Holland(1997), Super(1990), and Savickas(2005).

Analysis of the road surface runoff at the continuous section (연속구간 도로의 표면흐름 분석)

  • Kim, Jung Soo;Jo, Jun Beom;Kim, Soo Youl;Lee, Sung Ho
    • Proceedings of the Korea Water Resources Association Conference
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    • 2020.06a
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    • pp.242-242
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    • 2020
  • 도시화와 산업화에 따른 유출환경의 변화로 인해 도심지에서 발생하는 대부분의 유출은 도로표면을 따라 이동하고 도로변에 설치된 빗물받이에 의해 배수된다. 이 때 빗물이 원활하게 배수되지 않아 노면수가 정체되고, 이 노면수가 인근 주택지로 유입되어 침수 피해가 발생한다. 이러한 현상은 유출량이 집중되는 도심지 저지대에서 주로 발생하며 설계 한도를 초과하지 않는 정상적인 강우 조건에서도 빈번히 나타나고 있다. 이는 최근의 기후 변화로 인한 집중 호우 등을 고려하여 설계 기준이 지속적으로 조정되어야 함과 동시에 도로 노면수의 배수 능력 평가를 위한 실제적인 연구가 이루어져야 한다는 필요성을 나타내고 있다. 특히 도로 빗물받이의 효율은 주로 종경사 및 횡경사 등의 도로 조건, 표면 유출 우수량, 빗물받이의 형상 등에 의존한다. 그러므로 상향된 설계빈도 및 도로 조건을 고려한 도로 표면 유출에 대한 흐름 분석과 빗물받이 특성을 고려한 실증연구의 분석 및 설계 해석 알고리즘의 개발이 시급한 실정이다. 본 연구에서는 도로 노면수의 배수 능력 증대를 위해 연속 설치된 빗물받이 조건 및 도로 경사조건을 고려하여 도로 배수시설의 표면 유출 모델 설계 알고리즘을 개발하였다. 표면 유출 유량은 도로의 차선(2~4차선), 경사(종경사 2~10% 및 횡경사 2~10%) 및 설계빈도(최대 30년)를 고려하였으며 유량이 노면 진행방향을 따라 연속적으로 증가하는 부등류 흐름 해석 방법을 채택하였다. 또한, 빗물받이 설치간격(L)과 도로의 폭(W)의 곱으로 계산되는 단순 직사각형 형태의 노면 형상이 아닌 도로 종경사 및 횡경사에 따른 유달거리를 산정하여 평행사변형 형태의 노면 형상을 계산하고 이에 따른 면적(A), 도달시간(tc) 및 강우강도(I)를 산정하였다. 이와 같은 1차원 흐름분석을 통해 도로 표면흐름 및 빗물받이 설치 간격을 제시하고 기존의 제시된 빗물받이 설치 간격과 비교하여 본 연구에서 제시한 설계 알고리즘을 검증하였다. 또한, 수리 실험을 통해 측정된 빗물받이 차집효율을 이용하여 연속 구간에서의 도로 표면 유출 모델의 적용성을 제시하였다. 이는 빗물받이 유입구를 통해 모든 유량이 유출된다고 가정하고 단독 구간에서의 수리분석 결과만을 고려하여 이를 확장시켜 개발된 기존의 도로 표면 유출 모델을 보완할 수 있을 것으로 기대된다. 본 연구에서 제시하고 있는 설계 알고리즘을 적용한다면 도로 전체 구간에서의 흐름 변화 분석과 배수효율의 정량적인 분석이 가능하므로 향후 도로 표면 침수 피해 저감 및 배수능력 증대를 위한 실증적이고 정량적인 분석 방법이 될 것으로 판단된다.

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May 24 Measures and Future North Korea Policy (5.24 대북조치와 향후 대북정책 과제)

  • Kim, Tae-Woo
    • Strategy21
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    • s.34
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    • pp.128-148
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    • 2014
  • In south Korea, the so-called 'conservative-liberal' rivalry over the assessment of the government's North Korean policies is seen to be impeding the road to right policy choices. For example, the liberals accused former President Lee Myung-bak's hardline policy of provoking Pyongyang and leading to a deterioration of inter-Korean relations, while the conservatives appreciated it for helping nurture mutually beneficial inter-Korean relations in the longer term by compelling North Korea to observe international norms. However, such debate over the vices and virtues of Seoul's North Korea policies is hardly meaningful as the measuring sticks used by the liberals and the conservatives are entirely different matters. The two major goals South Korea must pursue with its North Korean policies should be 'peaceful management of division' and 'change in North Korea'. The former is related to maintaining stability within South Korea and promoting co-prosperity with North Korea. For this, the nation needs to engage, encompass and assist the Pyongyang regime. The second goal is also necessary since South Korea, as a divided nation, must seek a unified Korea under the system of democracy and market economies by bringing change in North Korea. For this, South Korea needs powerful leverages with which it can persuade and coerce the North. This means that the nation is destined to simultaneously chase the above-mentioned two goals, while also both recognizing and negating the legitimacy of the North Korean regime. This situation necessitates Seoul to apply flexibility in reconciling with Pyongyang while applying firm principles to sever the vicious circle involving the North's military provocations. The May 25 Measures, which banned trade and economic cooperation with the North except those related to humanitarian assistance, were taken as sanctions against Pyongyang for sinking the South Korean corvette Chonan in March 2010. The Measures were taken by the Seoul government immediately after a multinational investigation team discovered evidence confirming that the South Korean naval ship had been torpedoed by a midget North Korean submarine. Naturally, the May 24 Measures have since then become a major stumbling block in inter-Korean exchange, prompting opposition politicians and concerned entrepreneurs to demand Seoul to unilaterally lift the Measures. Given the significant damages the Measures have inflicted on inter-Korean economic relations, removing them remains as homework for both Koreas. However, the Measures pertains to the 'principles on national security' the Seoul government must adhere to under all circumstances. This is why North Korea's apology and promises not to repeat similar provocations must come first. For now, South Korea has no alternative but to let North Korea solve the problems it has created. South Korea's role is to help the North do so.