• Title/Summary/Keyword: global estimate

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Estimation of Solar Radiation Distribution in Korea Using a Satellite (인공위성을 이용한 국내 일사량 분포 예측)

  • Jo, Dok-Ki;Yun, Chang-Yeol;Kim, Kwang-Deuk;Kang, Young-Heack
    • Journal of the Korean Solar Energy Society
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    • v.31 no.2
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    • pp.99-106
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    • 2011
  • Since the solar energy resource is the main input for sizing any solar photovoltaic system, it is essential to utilize the solar radiation data as an application and development of solar energy system increase. It will be necessary to understand and evaluate the insolation data. The Korea Institute of Energy Research(KIER) has begun collecting horizontal global insolation data since May, 1982 at 16 different locations in Korea and for the more detailed analysis, images taken by geostationary satellite may be used to estimate solar irradiance fluxes at earth"s surface. It is based on the empirical correlation between a satellite derived cloud index and the irradiance at the ground. From the results, the measured data has been collected at 16 different stations and estimated using satellite at 23 different stations over the South Korea from 1982 to 2009. The Result of analysis shows that the annual-average daily global radiation on the horizontal surface is 3.56 kWh/ $m^2$/day and estimated solar radiation fluxes show reliable results for estimating the global radiation with average deviation of -7.27 to +3.65% from the measured values.

Knuckle Design of Hand-made Electric Vehicle Based on Vehicle Dynamics Simulation (차량 동역학 모델 해석에 기반한 자작 전기차 너클의 설계)

  • Lee, C.S.;Choi, H.S.;Kwon, Y.S.;Lee, T.S.
    • Journal of the Korean Society of Mechanical Technology
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    • v.20 no.6
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    • pp.947-956
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    • 2018
  • This research has been conducted to design upright parts of hand-made vehicles with the purpose of reducing material and machining cost while ensuring structural safety. Aluminum knuckles were modelled with three parts in order to enhance design flexibility as well as to reduce CNC machining cost. A vehicle model was constructed in CAD program and simulated in ADAMS View in order to estimate joint forces developing during 20 degree step steering condition at 60km/h. The joint forces obtained in the vehicle dynamics simulation were used for the structural analysis in ANSYS and dimensions of knuckle parts were adjusted until the lowest safety factor reached 2.0. The weight of knuckle decreased by 50% compared to the previous version that was designed without the structural analysis. The overall manufacturing cost decreased by 33% due to the reduction in the material as well as the CNC machining effort.

Output SINR Analysis of GPS Adaptive Interference Canceler Based on Modified Despreader (변형된 역확산기 기반의 GPS 적응 간섭제거기의 출력 SINR 해석)

  • Hwang, Suk-Seung
    • The Journal of the Korea institute of electronic communication sciences
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    • v.9 no.2
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    • pp.195-202
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    • 2014
  • The Global Positioning System (GPS), which has various military and commercial applications, is designed to estimate the location of the specific user or object. In order to accurately estimate the location, GPS requires at least four satellite signals. The GPS receiver operates on extremely low signal-to-noise ratio (SNR) environment and it may suffer from various interference signals with the extremely high power. In this paper, we introduce a blind adaptive receiver based on the modified despreader, which suppress interference signals and detect GPS signals of interest without requiring explicit angle-of-arrival (AOA) information. We, also, provide the mathematical analysis for the signal-to-interference and noise ratio (SINR) of the modified despeader beamformer output. A representative computer simulation example is presented to illustrate the interference suppression performance of the considered GPS receiver and mathematical analysis of the SINR.

Long-term Outlook and Implications of the Marine Biotechnology Market in Korea and Abroad (국내외 해양생명공학 산업시장의 장기예측 및 함의)

  • Jang, Duckhee;Kang, Gilmo;Chae, Gi-Young;Kim, Soo-Ji;Jo, Min-Ju;Cha, Jeong-Mi;Ham, Hyun-Kyung
    • Ocean and Polar Research
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    • v.35 no.2
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    • pp.93-105
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    • 2013
  • The marine biotechnology industry is very significant as compared to other industries as one of the driving forces for economic growth in the next generation in Korea. However, the marine biotechnology market has been considered as a component of the biotechnology industry market which made difficult for creating separate research areas in relation to the scope of the relevant industry market as well as making it difficult to establish its own R&D policy strategies. Accordingly, this study was executed to estimate the future long-term market value of the marine biotechnology within the limit of industrial field and to verify the importance of national R&D investment in marine biotechnology on the basis of estimations within the industrial perspective. To this end, we classified the marine biotechnology industry into the four sub-sectors and estimated the domestic and global industrial market in 2010 and 2024. According to the results, the domestic and global market of the marine biotechnology industry will see a remarkable growth by 2024. In particular, the bio-energy, pharmaceutical and functional foods industry markets will achieve astonishing advances. On the basis of the analysis results, Korea has to establish more progressive and aggressive R&D investment strategies to strengthen national competitiveness through the marine biotechnology industry.

GPS AOA Choosing Algorithm in Environment of High-Power Interference Signals (고 전력 간섭 환경에서의 GPS AOA 선택 알고리즘)

  • Hwang, Suk-Seung
    • Journal of Advanced Navigation Technology
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    • v.16 no.4
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    • pp.649-656
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    • 2012
  • The Global Positioning System (GPS) is widely utilized for commercial and military applications to estimate the location of the user or object. The GPS suffers from various intentional or unintentional interferers and it requires estimating the accurate angle-of-arrival (AOA) of the GPS signal to suppress interference signals and to efficiently detect GPS data. Since the power of GPS signal is very low comparing with the noise and interference signals, it is extremely difficult to estimate GPS AOA before despreading. Although AOA of GPS signal is usually estimated after despreading, it requires choosing the GPS AOA among results of AOA estimation because they include AOAs of interference and GPS signals when existing high-power interferers. In this paper, we propose the efficient choosing algorithm of the GPS signal among the estimated AOAs. The proposed algorithm compares the estimated results before despreading and after despreading for choosing AOA of GPS signal. Computer simulation examples are presented to illustrate the performance of the proposed algorithm.

An Empirical Study on the Estimate of Rational Real Estate Bubble in Korea (한국 부동산 시장의 합리적 버블 추정에 관한 실증연구)

  • Chun, Hae-Jung
    • Journal of the Economic Geographical Society of Korea
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    • v.17 no.1
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    • pp.147-159
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    • 2014
  • The present study was aimed to estimate the rational bubble by using the state space model and Kalman filter, of the national, capital, non-capital, Gangnam, and Gangbuk regions housing sales price from November 2003 to August 2013, for the whole period, and before and after the global financial crisis. For the whole period, Gangnam marked the highest rational bubble of 25.4%, followed by Gangbuk 21.3%, capital region 20.1%, whole country 18.9%, and non-capital region 14.3%. Prior to the global financial crisis, Gangnam showed 26.7% of bubble, which is approximately 7.4% higher than Gangbuk with 19.3%. On the other hand, after the global financial crisis, the bubble has collapsed a lot with Gangnam 13.2% and Gangbuk 10.7%; however, the non-capital region showed rather an increase of about 15% from 4.2% before the crisis to 9.0% after the crisis. The main cause of this is that the trading price has declined but the rents have risen in the capital region including Gangnam and Gangbuk, while the transaction price has gone up in non-capital region due to various positive signs like the moving of public institutions.

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The Impact of COVID-19 and Korea's New Southern Policy on Its Global Value Chain

  • Yoo, Jeong-Ho;Park, Seul-Ki;Cheong, In-Kyo
    • Journal of Korea Trade
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    • v.24 no.8
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    • pp.19-38
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    • 2020
  • Purpose - The Korean government has been promoting the New Southern Policy (NSP) prior to the onset of the COVID-19 pandemic, which damage global value chain (GVC). The purpose of this paper is to emphasize that the NSP should be developed to provide tangible support in corporate GVC adjustment, away from diplomatic activities in order to offset GVC losses due to COVID-19 and expand export capabilities. Design/methodology - Two research methodologies are combined for this paper: A computational general equilibrium (CGE) model is used to estimate the impacts of the COVID-19 pandemic and NSP on Korea's exports, and the decomposition methodology (Wang, Wei and Zhu, 2013) to evaluate the stability of GVC. The conventional CGE model was modified to obtain an estimate for decomposition. The research methodology adopted in this study was attempted for the first time, and it can be widely used in future GVC research. Findings - Results found the effects of COVID-19 reduced Korea's total exports by 27% and GVC by more than 30%. In particular, VA in Korea's exports to the NSP region was found to have a huge impact in heavy industries and textiles, and its exports to Vietnam seemed to suffer the largest loss in GVC among ASEAN countries. If the NSP is implemented properly, it appears that it could offset much of the negative impacts of COVID-19, implying the importance of the effectiveness of the NSP. Originality/value - Many papers have assessed the NSP descriptively, and the GVC has been a topic for many publications. However, the impact of COVID-19 on Korea's GVC with the NSP countries has not been quantitatively studied. This paper emphasizes that the NSP should be pursued based on the results of quantitative analysis. In addition, the research methodology of this paper can be used for other GVC research with relevant modifications.

Estimation of GNSS Zenith Tropospheric Wet Delay Using Deep Learning (딥러닝 기반 GNSS 천정방향 대류권 습윤지연 추정 연구)

  • Lim, Soo-Hyeon;Bae, Tae-Suk
    • Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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    • v.39 no.1
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    • pp.23-28
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    • 2021
  • Data analysis research using deep learning has recently been studied in various field. In this paper, we conduct a GNSS (Global Navigation Satellite System)-based meteorological study applying deep learning by estimating the ZWD (Zenith tropospheric Wet Delay) through MLP (Multi-Layer Perceptron) and LSTM (Long Short-Term Memory) models. Deep learning models were trained with meteorological data and ZWD which is estimated using zenith tropospheric total delay and dry delay. We apply meteorological data not used for learning to the learned model to estimate ZWD with centimeter-level RMSE (Root Mean Square Error) in both models. It is necessary to analyze the GNSS data from coastal areas together and increase time resolution in order to estimate ZWD in various situations.

Global Sensitivity Analysis of Joints for Plug-in Digital Framework (플러그인 디지털 프레임웍을 위한 연결부 전역민감도 해석)

  • Lee, Dooho;Won, Young-Woo;Kwon, Jong-Hyun
    • Transactions of the Korean Society of Mechanical Engineers A
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    • v.40 no.5
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    • pp.483-488
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    • 2016
  • Plug-In Digital Framework is a system response analysis tool that is employed when system components are composed of black-box modules. Generally, the dynamic characteristics of joints between the system components significantly affect system responses, and they lead to displacement- and frequency-dependent stiffness and loss factor. Thus, the sensitivity of each joint parameters should be estimated from a global perspective. In this study, we introduce a global sensitivity analysis procedure under the Plug-In Digital Framework. To efficiently calculate the system responses, we introduce the frequency response function (FRF)-based substructuring method. Using the random balance designs (RBD), we generate the system responses and estimate the global first-order sensitivities for each joint stiffness. We apply the proposed global sensitivity analysis method to an interior noise problem of a passenger car, and we evaluate the efficiency of the global sensitivity analysis method.

Global Carbon Budget Study using Global Carbon Cycle Model (탄소순환모델을 이용한 지구 규모의 탄소 수지 연구)

  • Kwon, O-Yul;Jung, Jaehyung
    • Journal of Environmental Science International
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    • v.27 no.12
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    • pp.1169-1178
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    • 2018
  • Two man-made carbon emissions, fossil fuel emissions and land use emissions, have been perturbing naturally occurring global carbon cycle. These emitted carbons will eventually be deposited into the atmosphere, the terrestrial biosphere, the soil, and the ocean. In this study, Simple Global Carbon Model (SGCM) was used to simulate global carbon cycle and to estimate global carbon budget. For the model input, fossil fuel emissions and land use emissions were taken from the literature. Unlike fossil fuel use, land use emissions were highly uncertain. Therefore land use emission inputs were adjusted within an uncertainty range suggested in the literature. Simulated atmospheric $CO_2$ concentrations were well fitted to observations with a standard error of 0.06 ppm. Moreover, simulated carbon budgets in the ocean and terrestrial biosphere were shown to be reasonable compared to the literature values, which have considerable uncertainties. Simulation results show that with increasing fossil fuel emissions, the ratios of carbon partitioning to the atmosphere and the terrestrial biosphere have increased from 42% and 24% in the year 1958 to 50% and 30% in the year 2016 respectively, while that to the ocean has decreased from 34% in the year 1958 to 20% in the year 2016. This finding indicates that if the current emission trend continues, the atmospheric carbon partitioning ratio might be continuously increasing and thereby the atmospheric $CO_2$ concentrations might be increasing much faster. Among the total emissions of 399 gigatons of carbon (GtC) from fossil fuel use and land use during the simulation period (between 1960 and 2016), 189 GtC were reallocated to the atmosphere (47%), 107 GtC to the terrestrial biosphere (27%), and 103GtC to the ocean (26%). The net terrestrial biospheric carbon accumulation (terrestrial biospheric allocations minus land use emissions) showed positive 46 GtC. In other words, the terrestrial biosphere has been accumulating carbon, although land use emission has been depleting carbon in the terrestrial biosphere.