• Title/Summary/Keyword: Impact Simulation

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Estimation of Traffic Safety Improvement Effect of Forward Collision Warning (FCW) (전방충돌경보(FCW)의 교통안전 증진효과 추정)

  • Kim, Hyung-kyu;Lee, Soo-beom;Lee, Hye-rin;Hong, Su-jeong;Min, hye-Ryung
    • The Journal of The Korea Institute of Intelligent Transport Systems
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    • v.20 no.2
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    • pp.43-57
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    • 2021
  • The Forward Collision Warning, a representative technology of the Advanced Driver Assistance Systems, was selected as the target technology. The cognitive response time, deceleration, and impact were selected as the measures of effectiveness. And the amount of change with and without the Forward Collision Warning was measured. The experimental scenarios included a sudden stop event (1) of the vehicle in front of the driver and an event (2) in which the vehicle intervened in the next lane. All experiments were divided into day and night. As a result of the analysis, response time and the deceleration rate decreased when the forward collision warning system was installed. It was analyzed that the driver's risk situation could be detected quickly and the number of front-end collisions could be reduced as a result. Reflecting the driver's operating habits and diversifying the experimental scenarios will increase the installation effectiveness of ADAS and be used to estimate the effectiveness of other technologies.

A Study on Economic Effects of NAMA Negotiations in the WTO on Automotive Industry of the World (WTO 비농산물협상이 전세계 자동차산업에 미치는 영향에 관한 연구)

  • Ko, Jong-Hwan
    • International Area Studies Review
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    • v.15 no.3
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    • pp.95-126
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    • 2011
  • The objective of this study is to quantify the potential economic effects of Non-Agricultural Market Access (NAMA) negotiations of the WTO on automotive industry of the world using a multi-region, multi-sector Computable General Equilibrium (CGE) model with 21 countries/regions and 22 sectors. According to the December 2008 NAMA modalities text, issued by the chair of the negotiation on NAMA, three different scenarios of tariff liberalization of NAMA are conducted on the basis of the Swiss formula with a coefficient of 8 for developed members and 20 for developing (scenario 1), with a coefficient of 8 for developed members and 22 for developing (scenario 2) and with a coefficient of 8 for developed members and 25 for developing (scenario 3). Simulation results show potential economic effects at the macroeconomic and microeconomic level of 21 countries concerned. In particular, Korea is to be one of the winners of tariff liberalization of NAMA in the WTO and Korean automotive industry is to benefit from it to a large extent in terms of its output, domestic sales, exports and trade balance, which implies that Korea needs to actively engage in NAMA negotiations of the WTO.

Impact of pore fluid heterogeneities on angle-dependent reflectivity in poroelastic layers: A study driven by seismic petrophysics

  • Ahmad, Mubasher;Ahmed, Nisar;Khalid, Perveiz;Badar, Muhammad A.;Akram, Sohail;Hussain, Mureed;Anwar, Muhammad A.;Mahmood, Azhar;Ali, Shahid;Rehman, Anees U.
    • Geomechanics and Engineering
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    • v.17 no.4
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    • pp.343-354
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    • 2019
  • The present study demonstrates the application of seismic petrophysics and amplitude versus angle (AVA) forward modeling to identify the reservoir fluids, discriminate their saturation levels and natural gas composition. Two case studies of the Lumshiwal Formation (mainly sandstone) of the Lower Cretaceous age have been studied from the Kohat Sub-basin and the Middle Indus Basin of Pakistan. The conventional angle-dependent reflection amplitudes such as P converted P ($R_{PP}$) and S ($R_{PS}$), S converted S ($R_{SS}$) and P ($R_{SP}$) and newly developed AVA attributes (${\Delta}R_{PP}$, ${\Delta}R_{PS}$, ${\Delta}R_{SS}$ and ${\Delta}R_{SP}$) are analyzed at different gas saturation levels in the reservoir rock. These attributes are generated by taking the differences between the water wet reflection coefficient and the reflection coefficient at unknown gas saturation. Intercept (A) and gradient (B) attributes are also computed and cross-plotted at different gas compositions and gas/water scenarios to define the AVO class of reservoir sands. The numerical simulation reveals that ${\Delta}R_{PP}$, ${\Delta}R_{PS}$, ${\Delta}R_{SS}$ and ${\Delta}R_{SP}$ are good indicators and able to distinguish low and high gas saturation with a high level of confidence as compared to conventional reflection amplitudes such as P-P, P-S, S-S and S-P. In A-B cross-plots, the gas lines move towards the fluid (wet) lines as the proportion of heavier gases increase in the Lumshiwal Sands. Because of the upper contacts with different sedimentary rocks (Shale/Limestone) in both wells, the same reservoir sand exhibits different response similar to AVO classes like class I and class IV. This study will help to analyze gas sands by using amplitude based attributes as direct gas indicators in further gas drilling wells in clastic successions.

Post-2020 Emission Projection and Potential Reduction Analysis in Agricultural Sector (2020년 이후 농업부문 온실가스 배출량 전망과 감축잠재량 분석)

  • Jeong, Hyun Cheol;Lee, Jong Sik;Choi, Eun Jung;Kim, Gun Yeob;Seo, Sang Uk;Jeong, Hak Kyun;Kim, Chang Gil
    • Journal of Climate Change Research
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    • v.6 no.3
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    • pp.233-241
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    • 2015
  • In 2014, the United Nations Framework Convention on Climate Change (UNFCCC) agreed to submit the Intended Nationality Determined Contributions (INDCs) at the conference of parties held in Lima, Peru. Then, the South Korean government submitted the INDCs including GHGs reduction target and reduction potential on July, 2015. The goal of this study is to predict GHGs emission and to analyze reduction potential in agricultural sector of Korea. Activity data to estimate GHGs emission was forecast by Korea Agricultural Simulation Model (KASMO) of Korea Rural Economic Institute and estimate methodology was taken by the IPCC and guideline for MRV (Measurement, Reporting and Verification) of national greenhouse gases statistics of Korea. The predicted GHGs emission of agricultural sectors from 2021 to 2030 tended to decrease due to decline in crop production and its gap was less after 2025. Increasing livestock numbers such as sheep, horses, swine, and ducks did not show signigicant impact the total GHGs emission. On a analysis of the reduction potential, GHGs emission was expected to reduce $253Gg\;CO_{2-eq}$. by 2030 with increase of mid-season water drainage area up to 95% of total rice cultivation area. The GHGs reduction potential with intermittent drainage technology applied to 10% of the tatal paddy field area, mid-drainage and no organic matter would be $92Gg\;CO_{2-eq}$. by 2030.

Machine Learning Based Structural Health Monitoring System using Classification and NCA (분류 알고리즘과 NCA를 활용한 기계학습 기반 구조건전성 모니터링 시스템)

  • Shin, Changkyo;Kwon, Hyunseok;Park, Yurim;Kim, Chun-Gon
    • Journal of Advanced Navigation Technology
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    • v.23 no.1
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    • pp.84-89
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    • 2019
  • This is a pilot study of machine learning based structural health monitoring system using flight data of composite aircraft. In this study, the most suitable machine learning algorithm for structural health monitoring was selected and dimensionality reduction method for application on the actual flight data was conducted. For these tasks, impact test on the cantilever beam with added mass, which is the simulation of damage in the aircraft wing structure was conducted and classification model for damage states (damage location and level) was trained. Through vibration test of cantilever beam with fiber bragg grating (FBG) sensor, data of normal and 12 damaged states were acquired, and the most suitable algorithm was selected through comparison between algorithms like tree, discriminant, support vector machine (SVM), kNN, ensemble. Besides, through neighborhood component analysis (NCA) feature selection, dimensionality reduction which is necessary to deal with high dimensional flight data was conducted. As a result, quadratic SVMs performed best with 98.7% for without NCA and 95.9% for with NCA. It is also shown that the application of NCA improved prediction speed, training time, and model memory.

Analysis of climate change impact on flow duration characteristics in the Mekong River (기후변화에 따른 메콩강 유역의 미래 유황변화 분석)

  • Lee, Daeeop;Lee, Giha;Song, Bonggeun;Lee, Seungsoo
    • Journal of Korea Water Resources Association
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    • v.52 no.1
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    • pp.71-82
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    • 2019
  • The purpose of this study is to analyze the Mekong River streamflow alteration due to climate change. The future climate change scenarios were produced by bias corrections of the data from East Asia RCP 4.5 and 8.5 scenarios, given by HadGEM3-RA. Then, SWAT model was used for discharge simulation of the Kratie, the main point of the Mekong River (watershed area: $646,000km^2$, 88% of the annual average flow rate of the Mekong River). As a result of the climate change analysis, the annual precipitation of the Kratie upper-watershed increase in both scenarios compared to the baseline yearly average precipitation. The monthly precipitation increase is relatively large from June to November. In particular, precipitation fluctuated greatly in the RCP 8.5 rather than RCP 4.5. Monthly average maximum and minimum temperature are predicted to be increased in both scenarios. As well as precipitation, the temperature increase in RCP 8.5 scenarios was found to be more significant than RCP 4.5. In addition, as a result of the duration curve comparison, the streamflow variation will become larger in low and high flow rate and the drought will be further intensified in the future.

Method for evaluating the safety performance and protection ability of the mobile steel protective wall during the high-explosive ammunition test (고폭탄 탄약시험 간 이동형 강재 방호벽의 안전성능 판단 및 유효 방호력 평가 방법)

  • Jeon, In-Beom
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.22 no.6
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    • pp.573-582
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    • 2021
  • In this study, a series of processes for evaluating the effective protection against barriers that should be equipped in institutions that perform reliability tests on high-risk ammunition, such as high-explosive ammunition, were introduced. The impact that high-explosive bombs can have on personnel includes damage to the eardrum and lungs caused by explosion overpressure and penetrating wounds that can be received by fragments generated simultaneously with the explosion. Therefore, a high-explosive with COMP B explosives as its contents were set up, and an explosion protection theory investigation to calculate the degree of damage, numerical calculations and simulations were performed to verify the protection power. A numerical calculation revealed the maximum explosion overpressure on the protective wall when the high-explosive exploded and the penetration force of the fragment against a 50 mm-thick protective wall to be 77.74 kPa and 41.34 mm, respectively. In the simulation verification using AUTODYN, the maximum explosion overpressures affecting the firewall and personnel were 56.68 kPa and 18.175 kPa, respectively, and the penetration of fragments was 35.56 mm. This figure is lower than the human damage limit, and it was judged that the protective power of the barrier would be effective.

Applications of Surface Cover Materials for Reduction of Soil Erosion (토양유실 저감을 위한 지표피복재 적용)

  • Won, Chul-hee;Shin, Min-hwan;Choi, Yong-hun;Shin, Jae-young;Park, Woon-ji;Choi, Joong-dae
    • Journal of Korean Society on Water Environment
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    • v.27 no.6
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    • pp.848-854
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    • 2011
  • The objective of this research was to experimentally test the effect of rice straw mats on the reduction of runoff, sediment and discharge under a laboratory scale with different rainfall intensity and slopes. We used the small runoff plots of $1m{\times}1m{\times}0.65m$ ($L{\times}W{\times}H$) in size were filled with loamy sand. Experimental treatments were bare (control), rice straw mats + PAM(SP), rice straw mats + PAM + sawdust(SPS) and rice straw mats + PAM + rice husks(SPR); slope of 10% or 20%; and rainfall intensity of 30 or 60 mm/hr. Runoff volume and coefficient from covered plots were significantly lower than those from control plots. Under the 30 mm/hr and 10% simulations, average runoff coefficient of covered plots decreased more than 92%. Under 60 mm/hr and 20% simulations, the ratios were between 39.8~58.1%. Under the condition of 30 mm/hr rainfall and 10% slope, sediment discharge from covered plots was practically zero. And at 20% plots, sediment reduction ratio was more than 95%. Under the condition of 60 mm/hr rainfall, sediment reduction ratio of 10 and 20% plots ranged between 86.3~95.3% and between 79.8~86.5%, respectively. The differences in initial runoff time, runoff and sediment discharge among different cover materials were not significant. Rainfall intensity showed higher impact on initial runoff time, runoff, and sediment discharge than slope. It was also shown that even if runoff reduction by surface cover were low, sediment discharge reduction could be very significant and contribute to improve the water quality of streams in sloping agricultural regions. It was concluded that the use of straw mat and PAM on sloping agricultural fields could reduce soil erosion and muddy runoff significantly and help improve the water quality and aquatic ecosystem in receiving waters.

Characteristics of loci on Line-to-Earth Voltage according to Earth Fault in Earthing System for Ships (선박의 접지 시스템에서 지락 고장에 따른 대지 전압 변동 특성)

  • Kim, Jong-Phil;Ryu, Ki-Tak;Lee, Yun-Hyung
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.22 no.2
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    • pp.487-495
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    • 2021
  • The voltages mainly used in ships are 450 [V], 6.6 [kV], and 11 [kV], and an earthed system is applied to ensure the stability of the power distribution system. In general, low-voltage ships using 450 [V] apply an unearthed system, while high-voltage ships using 6.6 [kV] or 11 [kV] use a high-resistance earthed system. When an earth fault occurs in a ship's power distribution system, the voltage of the healthy phase increases to the line-to-line voltage or higher, which causes an excessive impact on the insulation of the cable. Thus, analyzing this behavior is very important. In this paper, we investigate the characteristics of the line-to-earth voltage variation according to earth faults and a recognition procedure of a faulty phase using the symmetrical coordinate method for a high-resistance earthed system and unearthed system. A mathematical model of the line-to-earth voltage was derived through the symmetric coordinate method, and the ship voltage for simulations was selected as 6.6 [kV] and 450 [V]. A MATLAB simulation proved that this method can determine the highest increase of the line-to-earth voltage, which leads by 120° on the faulty phase, and it accurately judges the faulty phase in both earthed systems.

Development of an Input File Preparation Tool for Offline Coupling of DNDC and DSSAT Models (DNDC 지역별 구동을 위한 입력자료 생성 도구 개발)

  • Hyun, Shinwoo;Hwang, Woosung;You, Heejin;Kim, Kwang Soo
    • Korean Journal of Agricultural and Forest Meteorology
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    • v.23 no.1
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    • pp.68-81
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    • 2021
  • The agricultural ecosystem is one of the major sources of greenhouse gas (GHG) emissions. In order to search for climate change adaptation options which mitigate GHG emissions while maintaining crop yield, it is advantageous to integrate multiple models at a high spatial resolution. The objective of this study was to develop a tool to support integrated assessment of climate change impact b y coupling the DSSAT model and the DNDC model. DNDC Regional Input File Tool(DRIFT) was developed to prepare input data for the regional mode of DNDC model using input data and output data of the DSSAT model. In a case study, GHG emissions under the climate change conditions were simulated using the input data prepared b y the DRIFT. The time to prepare the input data was increased b y increasing the number of grid points. Most of the process took a relatively short time, while it took most of the time to convert the daily flood depth data of the DSSAT model to the flood period of the DNDC model. Still, processing a large amount of data would require a long time, which could be reduced by parallelizing some calculation processes. Expanding the DRIFT to other models would help reduce the time required to prepare input data for the models.