• Title/Summary/Keyword: Output Estimation

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Estimating the Market Size of the Marine Environmental Industries and Analyzing Their Economic Effects (해양환경산업의 시장규모 추계 및 경제적 파급효과 분석)

  • Jin, Se-Jun;Park, Se-Hun;Yoo, Seung-Hoon
    • Journal of the Korean Society of Marine Environment & Safety
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    • v.22 no.5
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    • pp.536-546
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    • 2016
  • Using the inter-industry tables over the period 2010-2013 published by the Bank of Korea, this paper attempts to uncover the national economic role of the marine environmental industries through the estimation of their market size and value-added, and to analyze their economic effects through inter-industry analysis. The results show that the market size of the marine environmental industries has increased from 1.34 trillion won in 2010 to 1.97 trillion won in 2013 and their share in total national output went up from 0.04 % in 2010 to 0.05 % in 2013. Moreover, the value-added of the marine environmental industries, 618.5 billion won in 2010, amounted to 841.5 billion won in 2013 and their proportion in total national value-added has grown from 0.05 % in 2010 to 0.06 % in 2013. Three findings emerge to be used demand-driven model from the inter-industry analysis. First, the production-inducing effect of 1.0 won production or investment in the marine environmental industries has decreased from 1.8845 won in 2010 to 1.8115 won in 2013. Second, the value-added creation effect of that has declined from 0.7680 won in 2010 to 0.7063 in 2013. Third, the employment-inducing effect of 1.0 billion won production or investment in the marine environmental industries has went down from 10.17 people in 2010 to 9.18 people in 2013. In short, the market size and value-added of the marine environmental industries show an increasing trend, but their economic effects reveal a diminishing trend.

Estimation of Differently Exposed Low Dynamic Range Images from a Single Bayer Image (단일 Bayer 영상으로 부터 다양한 노출을 가지는 Low Dynamic Range 영상들의 추정)

  • Lee, Tae-Hyoung;Ha, Ho-Gun;Ha, Yeong-Ho
    • Journal of the Institute of Electronics Engineers of Korea SP
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    • v.48 no.2
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    • pp.74-79
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    • 2011
  • HDR(high dynamic range) imaging techniques supports wider dynamic range than normal images captured from general still camera. These usually need several shots to obtain LDR(low dynamic range) images, causing ghosting artifacts. Accordingly, this paper suggests a method to generate new LDR images from a single Bayer image using Exposure LUT(look-up table) by considering channel dependency. We prior construct exposure LUT for each RGB channel, showing the relationship between input and average output luminance values. In the process, by applying the average luminance of input image and current exposure to LUT, new exposures which are determined by user choice are first estimated. Next, LDR images which are corresponded to new exposures are generated based on each LUT. Saturated areas are improved by considering channel dependency in the last procedure. In the experimental comparison, high PSNR values are obtained between estimated and captured images. Also, we have similar appearance on displayed images.

Signal Level Analysis of a Camera System for Satellite Application

  • Kong, Jong-Pil;Kim, Bo-Gwan
    • Proceedings of the KSRS Conference
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    • 2008.10a
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    • pp.220-223
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    • 2008
  • A camera system for the satellite application performs the mission of observation by measuring radiated light energy from the target on the earth. As a development stage of the system, the signal level analysis by estimating the number of electron collected in a pixel of an applied CCD is a basic tool for the performance analysis like SNR as well as the data path design of focal plane electronic. In this paper, two methods are presented for the calculation of the number of electrons for signal level analysis. One method is a quantitative assessment based on the CCD characteristics and design parameters of optical module of the system itself in which optical module works for concentrating the light energy onto the focal plane where CCD is located to convert light energy into electrical signal. The other method compares the design\ parameters of the system such as quantum efficiency, focal length and the aperture size of the optics in comparison with existing camera system in orbit. By this way, relative count of electrons to the existing camera system is estimated. The number of electrons, as signal level of the camera system, calculated by described methods is used to design input circuits of AD converter for interfacing the image signal coming from the CCD module in the focal plane electronics. This number is also used for the analysis of the signal level of the CCD output which is critical parameter to design data path between CCD and A/D converter. The FPE(Focal Plane Electronics) designer should decide whether the dividing-circuit is necessary or not between them from the analysis. If it is necessary, the optimized dividing factor of the level should be implemented. This paper describes the analysis of the electron count of a camera system for a satellite application and then of the signal level for the interface design between CCD and A/D converter using two methods. One is a quantitative assessment based on the design parameters of the camera system, the other method compares the design parameters in comparison with those of the existing camera system in orbit for relative counting of the electrons and the signal level estimation. Chapter 2 describes the radiometry of the camera system of a satellite application to show equations for electron counting, Chapter 3 describes a camera system briefly to explain the data flow of imagery information from CCD and Chapter 4 explains the two methods for the analysis of the number of electrons and the signal level. Then conclusion is made in chapter 5.

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The Application of Adaptive Network-based Fuzzy Inference System (ANFIS) for Modeling the Hourly Runoff in the Gapcheon Watershed (적응형 네트워크 기반 퍼지추론 시스템을 적용한 갑천유역의 홍수유출 모델링)

  • Kim, Ho Jun;Chung, Gunhui;Lee, Do-Hun;Lee, Eun Tae
    • KSCE Journal of Civil and Environmental Engineering Research
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    • v.31 no.5B
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    • pp.405-414
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    • 2011
  • The adaptive network-based fuzzy inference system (ANFIS) which had a success for time series prediction and system control was applied for modeling the hourly runoff in the Gapcheon watershed. The ANFIS used the antecedent rainfall and runoff as the input. The ANFIS was trained by varying the various simulation factors such as mean areal rainfall estimation, the number of input variables, the type of membership function and the number of membership function. The root mean square error (RMSE), mean peak runoff error (PE), and mean peak time error (TE) were used for validating the ANFIS simulation. The ANFIS predicted runoff was in good agreement with the measured runoff and the applicability of ANFIS for modelling the hourly runoff appeared to be good. The forecasting ability of ANFIS up to the maximum 8 lead hour was investigated by applying the different input structure to ANFIS model. The accuracy of ANFIS for predicting the hourly runoff was reduced as the forecasting lead hours increased. The long-term predictability of ANFIS for forecasting the hourly runoff at longer lead hours appeared to be limited. The ANFIS might be useful for modeling the hourly runoff and has an advantage over the physically based models because the model construction of ANFIS based on only input and output data is relatively simple.

Estimation of Climatological Precipitation of North Korea by Using a Spatial Interpolation Scheme (지형기후학적 공간내삽에 의한 북한지역 강수기후도 작성)

  • Yun Jin-Il
    • Korean Journal of Agricultural and Forest Meteorology
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    • v.2 no.1
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    • pp.16-23
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    • 2000
  • A topography-precipitation relationship derived from the southern part of Korean Peninsula was applied to North Korea where climate stations are few and widely separated. Two hundred and seventy seven rain gauge stations of South Korea were classified into 8 different groups depending on the slope orientation (aspect) of the region they are located. Monthly precipitation averaged over 10 year period (1986-1995) was regressed to topographical variables of the station locations. A 'trend precipitation' for each gauge station was extracted from the precipitation surface interpolated from the monthly precipitation data of 24 standard stations of the Korea Meteorological Administration and used as a substitute for y-axis intercept of the regression equation. These regression models were applied to the corresponding regions of North Korea, which were identified by slope orientation, to obtain monthly precipitation surface for the aspect regions. 'Trend precipitation' from the 10 year data of 27 North Korean standard stations was also used in the model calculation. Output grids for each aspect region were mosaicked to form the monthly and annual precipitation surface with a 1km$\times$1km resolution for the entire territory of North Korea. Spatially averaged annual precipitation of North Korea was 938 mm with the standard deviation of 246 mm.

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Soil Moisture Modelling at the Topsoil of a Hillslope in the Gwangneung National Arboretum Using a Transfer Function (전이함수를 통한 광릉 산림 유역의 토양수분 모델링)

  • Choi, Kyung-Moon;Kim, Sang-Hyun;Son, Mi-Na;Kim, Joon
    • Korean Journal of Agricultural and Forest Meteorology
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    • v.10 no.2
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    • pp.35-46
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    • 2008
  • Soil moisture is one of the important components in hydrological processes and also controls the subsurface flow mechanism at a hillslope scale. In this study, time series of soil moisture were measured at a hillslope located in Gwangneung National Arboretum, Korea using a multiplex Time Domain Reflectometry(TDR) system measuring soil moisture with bi-hour interval. The Box-Jenkins transfer function and noise model was used to estimate spatial distributions of soil moisture histories between May and September, 2007. Rainfall was used as an input parameter and soil moisture at 10 cm depth was used as an output parameter in the model. The modeling process consisted of a series of procedures(e.g., data pretreatment, model identification, parameter estimation, and diagnostic checking of selected models), and the relationship between soil moisture and rainfall was assessed. The results indicated that the patterns of soil moisture at different locations and slopes along the hillslope were similar with those of rainfall during the measurment period. However, the spatial distribution of soil moisture was not associated with the slope of the monitored location. This implies that the variability of the soil moisture was determined more by rainfall than by the slope of the site. Due to the influence of vegetation activity on soil moisture flow in spring, the soil moisture prediction in spring showed higher variability and complexity than that in early autumn did. This indicates that vegetation activity is an important factor explaining the patterns of soil moisture for an upland forested hillslope.

Optimal Toll Estimate of a Toll Road Using Fuzzy Approximate Reasoning - Forced on the Geoga Bridge - (퍼지근사추론을 이용한 유료도로의 적정요금 산정 - 거가대교를 중심으로 -)

  • Ha Man-Box;Kim Kyung-Whan;Kim Yeong
    • International Journal of Highway Engineering
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    • v.8 no.3 s.29
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    • pp.63-76
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    • 2006
  • For a private toll road project, deciding optimal toll is an important element of economic analysis for the project and a challengeable work. In this study, the optimal toll of a private toll bridge, Geoga Bridge which connects Geoje Island of Gyeongnam Province and Gaduk Island of Busan was estimated using Stated Preference (SP) data. The SP data were collected by interviewing the passenger car drivers travelling on the National Road 14. They are latent users of the bridge. A fuzzy approximate reasoning model to estimate the optimal toll was built using the SP data. For the input variable of the model, the saved travel time and toll level were employed and the diversion rate to the bridge was employed for the output variable. The diversion rates for each toll level and saved travel time were estimated and the toll level which had maximized the toll revenue was decided as optimal toll. The optimal toll was tested by comparing with the average pay rate of passenger car drivers. Since the optimal toll for passenger cars at one hour saving, the 6,250 won is about 50 % of the average pay rate of passenger car divers, the toll was evaluated not to be high. The technique employed in this study may be used for the estimation of the optimal tolls for other kinds of vehicles.

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Estimation of Economic Impacts of SARS Disaster to Tour Demands of Four Major Countries in Korea

  • Kim, Geun-Young;Moore II, James E.;Chae, Seon-Hee
    • Journal of the Korean Society of Hazard Mitigation
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    • v.9 no.6
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    • pp.77-87
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    • 2009
  • Potential risks of communicable disease outbreaks have significantly increased in the era of global society. However, contingency planning of local governments for communicable diseases is not prepared to the proper level in various governmental sectors of many countries. Human being has been remarkable advances in medical science and public health. However, Severe Acute Respiratory Syndrome (SARS) still remains as a very dangerous transmissible disease that has great potential to create catastrophic consequences of casualties. The SARS outbreak between November 2002 and July 2003 resulted in 8,096 known infected cases and 774 deaths with a mortality rate of 9.6% worldwide (WHO, 2004). It is regarded as one of the human health disasters. Since about sixty-six percent of total SARS cases in the world were reported in People's Republic of China, Korean tour industry was significantly affected as a neighboring country. The objective of this research is to investigate major factors of Korea entry data sets, and to analyze economic impacts of Korean tour business interruption due to the period of SARS outbreak with tourist cases of four countries: Japan, U.S.A., China, and Taiwan. Results from this research show the seasonal and long-term trends of entry data sets of four countries, and direct and indirect impacts of SARS to Korean tour industry.

Increment Method of Radar Range using Noise Reduction (잡음 감소 기법을 활용한 레이다의 최대 거리 향상 기법)

  • Lee, Dong-Hyo;Chung, Daewon;Shin, Hanseop;Yang, Hyung-Mo;Kim, Sangdong;Kim, Bong-seok;Jin, Youngseok
    • Journal of Korea Society of Industrial Information Systems
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    • v.24 no.6
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    • pp.1-10
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    • 2019
  • This paper proposes a method to improve the detectable distance by reducing noise to perform a signal processing technique on the received signals. To increase the radar detection range, the noise component of the received signal has to be reduced. The proposed method reduces the noise component by employing two methods. First, the radar signals received with multiple pulses are accumulated. As the number of additions increases, the noise component gradually decreases due to noise randomness. On the other hand, the signal term gradually increases and thus signal to noise ratio increases. Secondly, after converting the accumulated signal into the frequency spectrum, a Least Mean Square (LMS) filter is applied. In the case of the radar received signal, desired signal exists in a specific part and most of the rest is a noise. Therefore, if the LMS filter is applied in the time domain, the noise increases. To prevent this, the LMS filter is applied after converting the received signal into the entire frequency spectrum. The LMS filter output is then transformed into the time domain and then range estimation algorithm is performed. Simulation results show that the proposed scheme reduces the noise component by about 25 dB. The experiment was conducted by comparing the proposed results with the conventional results of the radars held by the Korea Aerospace Research Institute for the international space station.

Estimation of Economic Value of the Film Industry in the National Economy (영화산업의 경제적 파급효과 분석)

  • Bae, Ki-Hyung
    • The Journal of the Korea Contents Association
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    • v.12 no.9
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    • pp.172-181
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    • 2012
  • The film industry is a high value-added industry, boosts the self-esteem of the people as a measure of a country's culture industry, and is one of the strategic industries to be fostered. However, the film industry is struggling due to the lack of national consensus on the importance and value of the film industry. Therefore, in order to resolve this issue, the study used the film Input-Output Table of year 2009 of korea to analyze how much the film industry contributes to the national economy. The results shows that film industry induce 82,838.7 billion won of national production, especially the film industry(the sector of film product & distribution and film screenings) shows that production inducement coefficient is 2.324(2.240, 2.478), Index of the power of dispersion is 1.163(1.121, 1.240), index of the sensitivity of dispersion is 0.825(0.825, 0.501), value-added coefficient is 0.884(0.479, 0.547), income inducement coefficient is 0.454(0.211, 0.236), tax inducement coefficient is 0.110(0.090, 0.146) and employment inducement coefficient is 0.017(0.014, 0.022).