• Title/Summary/Keyword: AIR 모델

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Study of The Air Jet Normally Injected into Supersonic Stream (초음속 자유유동에 수직으로 분사되는 제트유동장에 관한 연구)

  • 구병수;김희동
    • Journal of the Korean Society of Propulsion Engineers
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    • v.4 no.4
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    • pp.42-49
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    • 2000
  • A computation using the mass-averaged implicit Wavier-Stokes equations has been applied to solve the flow fields of the supersonic jets normally injected into supersonic freestreams and several types of turbulence model has been employed to close the governing equations. The ratio of the freestream to injection flow total pressures has been varied to elucidate the major characteristics of the mixing flow of the two streams. The freestream Mach number has been varied to investigate some change in the injection flow field. The results show that the positions of the separation and reattachment, locating upstream and downstream of the injection hole respectively, are strongly dependent on the ratio of total pressures and the freestream Mach number.

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Development of Control Software for KOREA Standard EMU (도시철도차량용 국내 표준모델의 주제어 S/W개발(2))

  • 안태기;한성호;백종현;이수길;박현준
    • Proceedings of the KSR Conference
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    • 1999.11a
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    • pp.302-309
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    • 1999
  • This paper is intended to provide a method to design control software fur the TCMS, train control and monitoring system. The TCMS with this control software will be applied KOREA Standard EMU. The control software is designed by SCADE Case tool to concern safety and reliability. The function for the EMU is implemented in software easily programmed, using a functional block, graphic programming language. the control software has modular design and each module is tested with SCADE simulator. This time we focus a HVAC(heater, ventilation and air conditioner controller) control module, present a design method and a simulation method for that module.

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Analysis of Input Factors of DNN Forecasting Model Using Layer-wise Relevance Propagation of Neural Network (신경망의 계층 연관성 전파를 이용한 DNN 예보모델의 입력인자 분석)

  • Yu, SukHyun
    • Journal of Korea Multimedia Society
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    • v.24 no.8
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    • pp.1122-1137
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    • 2021
  • PM2.5 concentration in Seoul could be predicted by deep neural network model. In this paper, the contribution of input factors to the model's prediction results is analyzed using the LRP(Layer-wise Relevance Propagation) technique. LRP analysis is performed by dividing the input data by time and PM concentration, respectively. As a result of the analysis by time, the contribution of the measurement factors is high in the forecast for the day, and those of the forecast factors are high in the forecast for the tomorrow and the day after tomorrow. In the case of the PM concentration analysis, the contribution of the weather factors is high in the low-concentration pattern, and that of the air quality factors is high in the high-concentration pattern. In addition, the date and the temperature factors contribute significantly regardless of time and concentration.

H-infinity controller design for robust speed control against disturbance and model uncertainty of DC motors (외란과 모델 불확실성에 강인한 DC모터의 속도 제어용 H-infinity 제어기 설계)

  • JEONG, Tae-Young;KIM, Dong-Geun
    • Journal of the Korean Society of Fisheries and Ocean Technology
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    • v.58 no.3
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    • pp.241-250
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    • 2022
  • This paper describes the design of H-infinity controller for robust control of a DC motor system. The suggested controller can ensure robustness against disturbance and model uncertainty by minimizing H-infinity norm of the transfer function from exogenous input to performance output and applying the small gain theorem. In particular, the controller was designed to reduce the effects of disturbance and model uncertainty simultaneously by formalizing these problems as a mixed sensitivity problem. The validity of the proposed controller was demonstrated by computer simulations and real experiments. Moreover, the effectiveness of the proposed controller was confirmed by comparing its performance with PI controller, which was tested under the same experimental condition as the H-infinity controller.

Air conditioner anomaly detection and real-time monitoring using Convolution AutoEncoder (합성곱 AutoEncoder를 이용한 공기조화기 이상 감지와 실시간 모니터링)

  • Lee, Se-hoon;Kim, Min-Ji;Im, Yu-Jin;Cho, Bi-gun
    • Proceedings of the Korean Society of Computer Information Conference
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    • 2021.07a
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    • pp.5-6
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    • 2021
  • 본 논문에서는 Semi-supervised Learning 방식의 이상감지 방법을 제안한다. 취득한 소음 데이터를 이미지화 시킨 후 Convolution AutoEncoder 학습 방법을 이용하여 모델을 학습한다. 고장 데이터와 정상 데이터 간의 데이터 불균형 문제가 대두되기 때문에 정상 데이터만을 활용한 이상감지는 실제 산업현장의 상황에 알맞게 사용할 수 있을 것이라 기대한다.

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Smart Farming Preliminary production phase service based on Big data Analysis (빅 데이터 분석 기반의 스마트 농업 생산 전 단계를 위한 서비스)

  • Kim, Dong Il;Chung, Hee Chang
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2021.05a
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    • pp.194-196
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    • 2021
  • This focuses on the Cultivation Plan Service at the preliminary production phase is critical in that it supports agricultural producers' decision by providing related information such as predicted crop production or expected profits for consulting or other agricultural information when they plan to cultivate. This paper describes the reference architecture of the farming sector will benefit immensely from the implementation of farming data in farming contents repository which will serve as the knowledge base for the Cultivation Plan Service at the pre-production stage based on Big data analysis.

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An Analysis of Aircraft Lessor Business Model Based on Financing Structure (항공기 리스사 자금조달 구조에 따른 사업모델 분석)

  • Jie Yong Park;Woon-Kyung Song
    • Journal of the Korean Society for Aviation and Aeronautics
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    • v.31 no.4
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    • pp.28-44
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    • 2023
  • This study investigates aircraft lessor business models by studying cases and interviewing experts to analyze investors and business strategies of aircraft lessor. The results confirm that there is a wide range of investors including institutional investors, financial institutions, insurance companies, corporations, and wealthy individuals for aircraft lessor. Aircraft lessors can be categorized based on its required rate of return (cost of capital) into bank-investing core, institutional investor-investing value-added, and hedge fund-investing opportunistic. Aircraft lessor decides leasing rate by aircraft purchasing price and lessee's credit rating. Core aircraft lessors invest in new aircrafts for new placement or sale-and-leaseback strategy requiring little technical risk in aircraft, value-added lessors invest in middle-aged aircrafts for re-leasing, opportunistic lessors invest in old aircrafts for freighter conversion or part-out strategy requiring high level of expertise. This study provides insights for future Korean aircraft lessor establishment and investment.

RLTA: Implementation of AI Stock Trading using Reinforcement Learning (RLTA: 강화학습을 이용한 AI 트레이딩 구현)

  • Min-Ji Kang;Yun-Jeong Choi;JiSung Lee;Gyuyoung Lee
    • Annual Conference of KIPS
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    • 2023.11a
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    • pp.1063-1064
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    • 2023
  • 인류는 주가를 과학적으로 예측하기 위해 수많은 학문적 노력을 기울여왔지만, 아직까지도 풀지 못한 난제로 남아 있다. 이에 본 연구에서는 깊은 수학적 원리에 기반하고 알파고 등에서 인간을 능가하는 성능을 보여준 강화학습 기술을 주식 트레이딩에 적용한 RLTA 모델을 제안하고, 실험을 통해 그 유용성을 입증하였다.

Land Use Regression Model for Assessing Exposure and Impacts of Air Pollutants in School Children (Land Use Regression 모델을 이용한 수도권 초등학교 대기오염 노출 분석)

  • Lee, Ji-Young;Leem, Jong-Han;Kim, Hwan-Cheol;Hwang, Seung-Sik;Jung, Dal-Young;Park, Myung-Sook;Kim, Jung-Ae;Lee, Je-Joon;Park, No-Wook;Kang, Sung-Chan
    • Journal of Korean Society for Atmospheric Environment
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    • v.28 no.5
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    • pp.571-580
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    • 2012
  • Epidemiologic studies of air pollution need accurate exposure assessments at unmonitored locations. A land use regression (LUR) model has been used successfully for predicting traffic-related pollutants, although its application has been limited to Europe, North America, and a few Asian region. Therefore, we modeled traffic-related pollutants by LUR then examined whether LUR models could be constructed using a regulatory monitoring network in Metropolitan area in Korea. We used the annual-mean nitrogen dioxide ($NO_2$) in 2010 in the study area. Geographic variables that are considered to predict traffic-related pollutants were classified into four groups: road type, traffic intensity, land use, and elevation. Using geographical variables, we then constructed a model to predict the monitored levels of $NO_2$. The mean concentration of $NO_2$ was 30.71 ppb (standard deviation of 5.95) respectively. The final regression model for the $NO_2$ concentration included five independent variables. The LUR models resulted in $R^2$ of 0.59. The mean concentration of $NO_2$ of elementary schools was 34.04 ppb (standard deviation of 5.22) respectively. The present study showed that even if we used regulatory monitoring air quality data, we could estimate $NO_2$ moderately well. These analyses confirm the validity of land use regression modeling to assign exposures in epidemiological studies, and these models may be useful tools for assessing health effects of long-term exposure to traffic related pollution.

Numerical Analysis of Pressurized Air Flow and Acting Wave Pressure in the Wave Power Generation System Using the Low-Reflection Structure with Wall-Typed Curtain (저반사구조물을 이용한 파력발전에 있어서 압축공기흐름 및 작용파압에 관한 수치해석)

  • Lee, Kwang-Ho;Choi, Hyun-Seok;Kim, Chang-Hoon;Kim, Do-Sam;Cho, Sung
    • Journal of Korean Society of Coastal and Ocean Engineers
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    • v.23 no.2
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    • pp.171-181
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    • 2011
  • Recently, many studies have been attempted to save the cost of production and to build the ocean energy power generating system. The low-reflection structure with the wall-typed curtain which has a wave power generation system of OWC is known as the most effective energy conversion system. A three-dimensional numerical model was used to understand the characteristics of velocity of flows about compressed air and to estimate the pressure acting on the low-reflection structure due to the short-period waves. The three-dimensional numerical wave flume which is the model for the immiscible two-phase flow was applied in interpretation for this. The numerical simulation showed well about the changes in velocity of compressed air and the characteristics of pressure according to the change in the wave height and depth of the curtain wall. Additionally, the results found that there was the point of the maximum velocity of the compressed air when the reflection coefficient is at its lowest point.