• Title/Summary/Keyword: long-term simulation

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A Simulation Study of Sled Test Method Considering Passenger behavior in Autonomous Emergency Braking (AEB) Events (자동긴급제동 시 탑승자 거동을 고려한 슬레드 시험 방안의 해석적 연구)

  • Young Myoung So;Ho Kim;Junsuk Bae
    • Journal of Auto-vehicle Safety Association
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    • v.16 no.3
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    • pp.38-46
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    • 2024
  • Due to its good repeatability and reproducibility, sled test is an effective way to study the occupant behavior during car crash but sled test is not suitable to simulate long term events (>1000 msec) such as autonomous emergency braking (AEB) which accompanies over 1 second of braking stage before crash. The behavior of dummies at different AEB levels are assessed using the Hybrid-III 50% male dummy and 5% female dummy FE models. Behavior of dummies are studied at different postures like normal posture, relaxed posture, and long-sliding relaxed posture. Dummy behavior from prepositioning (presetting the dummy as dummy will be positioned after AEB activation) and that from full event simulation which includes AEB activation as well as crash will be compared to check the effectiveness of prepositioning. Furthermore, based on the observation that the forward excursion of dummy head remains at a certain level with the lapse of time, we evaluated the applicability of time-shortened pulses method as well. Prepostioning method can be applied to normal posture, but it is not applicable to the relaxed posture, and it is confirmed that it can be corrected by applying the time-shortened pulses method.

A Study on the Influence of the Recent Environmental Changes of Container logistics System on Container Terminal - with a Special Reference to BCTOC - (최근 컨테이너 물류시스템의 환경 변화가 컨테이너 터미널에 미친 영향에 관한 연구 - 부산컨테이너부두운영공사를 중심으로 -)

  • 임봉택;성경빈;류형근;이철영
    • Journal of the Korean Institute of Navigation
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    • v.23 no.1
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    • pp.65-74
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    • 1999
  • For the purpose of analyzing the influence of the recent environmental changes of container logistics system in container terminal, the simulation model of container logistics system on BCTOC is developed in this paper. The simulation model is accomplished by the AweSim simulation language, and the several data which have been used in simulation gained through spot research and basic statistic analysis using the first half of 1998 electronic data in BCTOC. The results of this study are as follows; (1) In the case of BCTOC, the decreasing of container volumes is observed during the first half of 1998 compare with that of 1997. (2) In the container handling service market, the monopolistic market system in the past rapidly diverts to the competition market system from now. (3) From the simulation results, the improving of container logistics system is observed. (4) Because of these results, BCTOC will come to strengthen customer service and competitive power through starting On-Dock service system and operating the team of customer management in the long term.

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A Basic Study on Relationship between Reliability and Congestion Cost of Composite Power System (복합전력계통의 신뢰도와 혼잡비용과의 상관관계성에 관한 기초 연구)

  • Choi, J.S.;Tran, T.T.;Kwon, J.J.;Jeong, S.H.;Bo, Shi;Mount, Timothy;Thomas, Robert
    • Proceedings of the KIEE Conference
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    • 2006.11a
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    • pp.275-278
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    • 2006
  • This paper describes a probabilistic annual congestion cost assessment of a grid at a composite power system derived from a model. This probabilistic congestion cost assessment simulation model includes capacity limitation and uncertainties of the generators and transmission lines. In this paper, the proposed probabilistic congestion cost assessment model is focused on an annualized simulation methodology for solving long-term grid expansion planning issues. It emphasizes the questions of "how should the uncertainties of system elements (generators, lines and transformers, etc.) be considered for annual congestion cost assessment from the macro economic view point"? This simulation methodology comes essentially from a probabilistic production cost simulation model of composite power systems. This type of model comes from a nodal equivalent load duration curve based on a new effective load model at load points. The characteristics and effectiveness of this new simulation model are illustrated by several case studies of a test system.

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Multi-Regional Resources Management Practice using Water-Energy-Food Nexus Simulation Model

  • Wicaksono, Albert;Jeong, Gimoon;Kang, Doosun
    • Proceedings of the Korea Water Resources Association Conference
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    • 2019.05a
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    • pp.163-163
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    • 2019
  • The rapidly growing global population increases the awareness of water, energy, and food security worldwide. The concept of Water, Energy, and Food nexus (hereafter, WEF nexus) has been widely introduced as a new resources management concept that integrate the water, energy, and food in a single management framework. Recently, WEF nexus analyzes not only the interconnections among the resources, but also considers the external factors (such as environment, climate change, policy, finance, etc) to enhance the resources sustainability by proper understanding of their relations. A nation-level resources management is quite complex task since multiple regions (e.g., watersheds, cities, and counties) with different characteristics are spatially interconnected and transfer the resources each other. This study proposes a multiple region WEF nexus simulation and transfer model. The model is equipped with three simulation modules, such as local nexus simulation module, regional resources transfer module, and optimal investment planning module. The model intends to determine an optimal capital investment plan (CIP), such as build-up of power plants, water/waste water treatment plants, farmland development and to determine W-E-F import/export decisions among areas. The objective is to maximize overall resources sustainability while minimize financial cost. For demonstration, the proposed model is applied to a semi-hypothetical study area with three different characterized cities. It is expected the model can be used as a decision support tool for a long-term resources management planning process.

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Thermal-hydraulic study of air-cooled passive decay heat removal system for APR+ under extended station blackout

  • Kim, Do Yun;NO, Hee Cheon;Yoon, Ho Joon;Lim, Sang Gyu
    • Nuclear Engineering and Technology
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    • v.51 no.1
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    • pp.60-72
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    • 2019
  • The air-cooled passive decay heat removal system (APDHR) was proposed to provide the ultimate heat sink for non-LOCA accidents. The APDHR is a modified one of Passive Auxiliary Feed-water system (PAFS) installed in APR+. The PAFS has a heat exchanger in the Passive Condensate Cooling Tank (PCCT) and can remove decay heat for 8 h. After that, the heat transfer rate through the PAFS drastically decreases because the heat transfer condition changes from water to air. The APDHR with a vertical heat exchanger in PCCT will be able to remove the decay heat by air if it has sufficient natural convection in PCCT. We conducted the thermal-hydraulic simulation by the MARS code to investigate the behavior of the APR + selected as a reference plant for the simulation. The simulation contains two phases based on water depletion: the early phase and the late phase. In the early phase, the volume of water in PCCT was determined to avoid the water depletion in three days after shutdown. In the late phase, when the number of the HXs is greater than 4089 per PCCT, the MARS simulation confirmed the long-term cooling by air is possible under extended Station Blackout (SBO).

A CELP Coder using the Band-Divided Long Term Prediction (대역 분할 장구간 예측을 이용한 CELP 부호화기)

  • Choi, Young-Soo;Kang, Hong-Goo;Lim, Myoung-Seob;Ahn, Dong-Soon;Youn, Dae-Hee
    • The Journal of the Acoustical Society of Korea
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    • v.14 no.4
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    • pp.38-45
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    • 1995
  • In this paper a way to improve the performance of the long term prediction is proposed, which adopts the Multi-band Excitation (MBE) method in addition to the Code-Excited Linear Prediction (CELP) method at low bit rates below 4.8 kbps. In the proposed method, the multiband long term prediction is performed on the periodic components which still remain after the long term prediction of the conventional CELP method. At this point, the whole frequency region is divided into subbands whose size is equal to the spacing between the harmonics of the fundamental frequency, and the periodic multiband excitation signals. are represented as the sum of sine waves approximately as large as the spectrum of the excitation signals, so that the actual characteristics of the excitation signals can be better taken into account. To evaluate the performance of the proposed method, computer simulation is performed at 4.8 kbps. The 4.8 kbps DoD CELP and the 4.4 kbps IMBE were chosen as the reference vocoders for the speech quality measure. The result of the perceptual speech quality measure showed that the performance of the proposed method is better than that of the 4.8 kbps DoD CELP vocoder, and similar to that of the 4.4 kbps IMBE vocoder.

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Study on the Prediction of Motion Response of Fishing Vessels using Recurrent Neural Networks (순환 신경망 모델을 이용한 소형어선의 운동응답 예측 연구)

  • Janghoon Seo;Dong-Woo Park;Dong Nam
    • Journal of the Korean Society of Marine Environment & Safety
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    • v.29 no.5
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    • pp.505-511
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    • 2023
  • In the present study, a deep learning model was established to predict the motion response of small fishing vessels. Hydrodynamic performances were evaluated for two small fishing vessels for the dataset of deep learning model. The deep learning model of the Long Short-Term Memory (LSTM) which is one of the recurrent neural network was utilized. The input data of LSTM model consisted of time series of six(6) degrees of freedom motions and wave height and the output label was selected as the time series data of six(6) degrees of freedom motions. The hyperparameter and input window length studies were performed to optimize LSTM model. The time series motion response according to different wave direction was predicted by establised LSTM. The predicted time series motion response showed good overall agreement with the analysis results. As the length of the time series increased, differences between the predicted values and analysis results were increased, which is due to the reduced influence of long-term data in the training process. The overall error of the predicted data indicated that more than 85% of the data showed an error within 10%. The established LSTM model is expected to be utilized in monitoring and alarm systems for small fishing vessels.

A Development of Underwater Sound Signal Recognition Algorithm for Acoustic Releaser in the Seafloor (심해저용 원격 착탈 시스템 제어를 위한 수중음향신호 인식 알고리즘의 개발)

  • 김영진;우종식;조영준;허경무
    • Journal of Institute of Control, Robotics and Systems
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    • v.10 no.5
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    • pp.421-427
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    • 2004
  • In order to exploit underwater resources successfully, the first step would be a marine environmental research and exploration in the seafloor. Generally one sets up a long-term underwater experimental unit in the seafloor and retrieves the unit later after a certain period time. Essential to these applications is the reliable teleoperation and telemetering of the unit. In this paper we presents a robust underwater sound recognition algorithm by which we can identify the sound signal without the influence of disturbances due to underwater environmental changes. The proposed method provides a means suitable for the acoustic releaser which requires low power dissipation and long-time underwater operation. We demonstrate its ability of securing stability and fast sound recognition through simulation methods.

Comparing Energy Consumption following Flight Pattern for Quadrotor

  • Jee, Sunho;Cho, Hyunchan
    • Journal of IKEEE
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    • v.22 no.3
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    • pp.747-753
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    • 2018
  • Currently, many companies have succeeded in logistics delivery experiments utilizing drone and report it. When a drone is used commercially, long-term flight is an important performance that a drone should have. However, unlike vehicles operated on the ground, drone is a vehicle that continues to consume energy when maintaining the current altitude or moving to the destination. Therefore, the drones can fly for a long time as the capacity of the battery is large, but the batteries with large capacity are restricted by heavy weight and it acts as a limiting factor in a commercial use. To address this issue, we attempt to compare how far we can fly than forward flight based on the flight pattern with the same energy consumption condition. In this paper, the comparison of energy consumption was performed in three flight pattern, forward flight without altitude change and forward flight with altitude change, by computer simulation and it shows the increasing of flight distances when the quadrotor fly with altitude change from high altitude to low altitude.

Development of Fruit and Vegetable Peels Extracts for Memory Improvement of Prevention and Treatment of Cognitive Impairment

  • Kim, Hyun-Kyoung
    • International journal of advanced smart convergence
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    • v.7 no.3
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    • pp.1-7
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    • 2018
  • This study relates to a composition for improvement of memory or prevention and treatment of cognitive impairment using waste resources rich in beneficial substances. This study makes good effects to inhibit the activity of acetylcholinesterase in brain tissue and to improve the cognitive functions in a simulation model of cognitive impairment induced by scopolamine, so it can be available in the promotion of memory and the prevention and treatment of cognitive impairment. The composition uses the extract of fruit peels, which have long been used without causing toxicity in a wide range of food applications; therefore, it can be used safely without a risk of side effects, even in the case of a long-term administration for the preventive purpose. Furthermore, this research is a very beneficial invention in the environment-friendly aspect in association with the recycling of resources, as it is based on the novel efficacies of fruit peels, which have been conventionally disposed as a refuse of fruits due to their poor sensory qualities despite the content of beneficial substances.