• Title/Summary/Keyword: Prediction of ground-condition

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Prediction of Wind Farm Noise with Atmospheric Stability (대기 안정 상태에 따른 풍력 단지 소음 전파 예측)

  • Son, Eunkuk;Lee, Seunghoon;Jeon, Minu;Lee, Soogab
    • 한국신재생에너지학회:학술대회논문집
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    • 2011.11a
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    • pp.42.2-42.2
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    • 2011
  • Noise generated from wind turbines has been predicted by numerical methods. Sound pressure level(SPL) on the turbines is predicted after aerodynamic analysis is carried out by Wind Turbine Flow, Aeroacoustics and Structure analysis (WINFAS) code. The level of each panel of acoustic sphere is determined by the sum of tonal, turbulence ingestion and airfoil self noise. With the noise source database, the acoustic sphere, SPL on the ground is calculated using the model based on acoustic ray theory. The model has been designed to consider the effects on the condition of terrain and atmosphere. The variations of SPL on the ground occur not only because of the different source level but also because of the nonuniform distributions of the sound speed along the height. Hence, the profile of an effective sound speed which is the sum of the contribution of sound speed to a temperature gradient and a wind speed variation is used by the theory based on atmospheric stability. With the integrated numerical method, the prediction of sound propagation on the wind farm is carried out with the states of the atmospheric stability.

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Study on Internal Ballistic Performance Analysis for Single-chamber Dual-thrust Rocket Motors (단일연소관 이중추력 로켓모터의 내탄도성능 분석법 연구)

  • Kwon, Hyeokmin
    • Journal of the Korean Society of Propulsion Engineers
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    • v.24 no.4
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    • pp.1-11
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    • 2020
  • In this study, study on the internal ballistic analysis method for single-chamber dual-thrust rocket motors meeting a dual-thrust profile requirement by tailoring the grain burning area is presented. The analysis method, which can acquire variables required for the performance prediction, considering gradual change of burning rate correction factor and specific impulse in the transition phase, is proposed. Improvements compared to the analysis method in the previous study, which do not consider change in the transition phase, are verified through comparison between the newly proposed method and the method in the previous study. Internal ballistic variables are obtained for four different ground firing test conditions using the proposed method, and the performance prediction for each condition is conducted using these variables. These prediction results and the ground test data are in good agreement, so it is confirmed that the performance prediction of dual-thrust motors with same design geometries based on the proposed analysis method is available.

Study of an algorithm for intelligent digital protective relaying (지능형 디지탈 보호계전 알고리즘 연구)

  • 신현익;이성환;강신준;김정한;김상철
    • 제어로봇시스템학회:학술대회논문집
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    • 1996.10b
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    • pp.343-346
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    • 1996
  • A new method for on-line induction motor fault detection is presented in this paper. This system utilizes unsupervised-learning clustering algorithm, the Dignet, proposed by Thomopoulos etc., to learn the spectral characteristics of a good motor operating on-line. After a sufficient training period, the Dignet signals one-phase ground fault, or a potential failure condition when a new cluster is formed and persists for some time. Since a fault condition is found by comparison to a prior condition of the machine, on-line failure prediction is possible with this system without requiring information on the motor of load characteristics.

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Reinforced Feature of Dynamic Search Area for the Discriminative Model Prediction Tracker based on Multi-domain Dataset (다중 도메인 데이터 기반 구별적 모델 예측 트레커를 위한 동적 탐색 영역 특징 강화 기법)

  • Lee, Jun Ha;Won, Hong-In;Kim, Byeong Hak
    • IEMEK Journal of Embedded Systems and Applications
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    • v.16 no.6
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    • pp.323-330
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    • 2021
  • Visual object tracking is a challenging area of study in the field of computer vision due to many difficult problems, including a fast variation of target shape, occlusion, and arbitrary ground truth object designation. In this paper, we focus on the reinforced feature of the dynamic search area to get better performance than conventional discriminative model prediction trackers on the condition when the accuracy deteriorates since low feature discrimination. We propose a reinforced input feature method shown like the spotlight effect on the dynamic search area of the target tracking. This method can be used to improve performances for deep learning based discriminative model prediction tracker, also various types of trackers which are used to infer the center of the target based on the visual object tracking. The proposed method shows the improved tracking performance than the baseline trackers, achieving a relative gain of 38% quantitative improvement from 0.433 to 0.601 F-score at the visual object tracking evaluation.

A Case Study on Reinforcement of Ground and Foundation against Subsidence in Abandoned Mining Area (폐광지역 침하방지를 위한 지반 및 구조물기초 보강)

  • Kim, Do-Hyung;Choi, Chang-Rim;Kim, Dong-Hyun;Lee, Du-Hwa;Lee, Baek-Song;Je, Hae-Chan
    • Tunnel and Underground Space
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    • v.17 no.4
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    • pp.255-265
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    • 2007
  • As the mechanism and effect range of subsidence are altered according to the various conditions (the ground condition, the earth pressure, the geometric condition of underground cavity and the structure load), the analysis and prediction of subsidence in abandoned mining area are very difficult. Also, as the geological characteristics and the mining methods are differed in each mines, the application of the pre-existing reinforcements without improvement has a lot of difficulties and limits. In this study, the various underground investigation such as long-depth core drilling, seismic tomography and BIPS (borehole image processing system) were performed, the distribution of underground cavity and coal seam and rock relaxation condition were analyzed. And we predicted the type of subsidence and estimated the subsidence by theories of mining subsidence. With these results, we analyzed the mechanism of subsidence occurrence in the research object area. Finally, we improved existing methods which were applied to the abandoned mining area and also we established the rational reinforcement for the ground and structure foundation against each subsidence cause.

Mechanical and hydraulic interaction between braced wall and groundwater (흙막이 벽체와 그라우트 특성에 따른 구조.수리상호 작용)

  • Nam, Teak-Soo;Yoon, Jau-Ung;Kwon, Oh-Yeob;Shin, Jong-Ho
    • Proceedings of the Korean Geotechical Society Conference
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    • 2010.03a
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    • pp.1172-1177
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    • 2010
  • For the deep excavation in urban area, the braced-cut method is mainly adopted. In this case, inadequate consideration of ground water level may result in wrong prediction of structural behavior. In this study, the effects of hydraulic interaction between wall and grout were investigated using the finite element method. The maximum stress in case of confined ground water condition is obtained at the final excavation stage in the range of 70~80% of excavation depth. The stress of impermeable case is about 50% larger than that of permeable case. When the relative permeabililty of wall-grout become smaller, the stress is getting bigger. And the stress tends to converge in case of 1/100 or less of the relative permeability.

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Prediction of Ground-Condition Ahead of the Tunnel Face by Using 3-Dimensional Absolute Displacements (3차원 절대내공변위를 이용한 터널 막장전방의 지반면화 예측기법)

  • Lee, In-Mo;Gang, Gi-Don;Park, Gwang-Jun
    • Geotechnical Engineering
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    • v.14 no.4
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    • pp.17-32
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    • 1998
  • has been much progress in theories and construction techniques to secure the stability of the underground structures. Recently, several studios have shown that it is possible to predict the existence of discontinuities ahead of a tunnel face by analyzing 3-dimensional absolute displacements measured during tunnel excavation. This paper concentrated on the development of a methodology to predict the existence and location of the discontinuities, or the void space(abandoned mine) , by performing 3-dimensional FEM analysis and considering the stress relocation caused by arching effect during excavation. Also, this study tried to verify deformation for choosing the most suitable support system. The results of this study might provide a way of safer and economical tunnel construction by utilizing the in-situ monitoring data.

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Prediction of Residual Settlement of Ground Improved by Vertical Drains Using the Elasto-Viscous Consolidation Model (I) - Verification of the Applicability of Theory - (탄-점성 압밀이론에 의한 버티칼 드레인 타설지반의 잔류침하 예측 (I) -이론의 적용성 검증)

  • Baek, Won-Jin
    • Journal of the Korean Geotechnical Society
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    • v.23 no.4
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    • pp.69-77
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    • 2007
  • In this study, the consolidation behavior of clayey ground improved by vertical drain method was analyzed by the finite difference method based on the three-dimensional elasto-viscous consolidation theory, which can express the behavior of the secondary consolidation without considering the distinction of the normally consolidated and overconsolidated states. And the applicability of the elasto-viscous consolidation theory was discussed by comparing with the test results obtained from the model test of ground improved by vertical drain system. From these results, it is found that the amount of the settlement when the excess pore water pressure almost dissipated in the clay ground with vertical drains became smaller than that of the one-dimensional condition, and then the amount and rate of the residual settlement at secondary consolidation process became larger than those of the one-dimensional condition. finally, the effect of soil parameter on behavior of consolidation process was investigated by the results of a series of numerical analysis for the normalized and overconsoldiated states.

Prediction of Assistance Force for Opening/Closing of Automobile Door Using Support Vector Machine (서포트 벡터 머신을 이용한 차량도어의 개폐 보조력 예측)

  • Yang, Hac-Jin;Shin, Hyun-Chan;Kim, Seong-Kun
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.17 no.5
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    • pp.364-371
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    • 2016
  • We developed a prediction model of assistance force for the opening/closing of an automobile door depending on the condition of the parking ground. The candidates of the learning models for the operating assistance force were compared to determine the proper force according to the slope and user's force, etc. The reduced experimental model was developed to obtain learning data for the estimation model. The learning algorithm was composed to predict the assistance force to incorporate real assistance force data. Among these algorithms, an Artificial Neural Network (ANN) and Support Vector Machine(SVM) were applied and the adaptability was compared between these models. The SVM provided more adaptability for the learning process of the door assistance force prediction. This paper proposes a system for determining the assistance force to control a door motor to compensate for the deviation of required door force in the slope condition, as needed in the plane condition.

The Characteristics of Soil Remediation by Soil Flushing System Using PVDs (연직배수재를 이용한 토양세정시스템의 오염토양정화 특성)

  • Park, Jeong-Jun
    • Journal of the Korean Society of Environmental Restoration Technology
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    • v.10 no.5
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    • pp.76-86
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    • 2007
  • For the purpose of ground improvement by means of soil flushing systems. Incorporated technique with prefabricated vertical drains have been used for dewatering from fine-grained soils. The laboratory model tests were performed by using the flushing tracer solutions for silty soils and recorded the tracer concentration changes with the elapsed time and flow rates. A mathematical model for prediction of contaminant transport using the PVD technology has been developed. The clean-up times for the predictions on both soil condition indicate more of a sensitivity to the dispersivity parameter than to the extracted flow rate and vertical velocity parameters. Based on the results of the analyses, numerical analysis indicate that the most important factor to the in-situ soil remediation in prefabricated vertical drain system is the effective diameter of contaminated soil.