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Does Water Consumption Cause Economic Growth Vice-Versa, or Neither? Evidence from Korea (한국에서의 물소비와 경제성장 -오차수정모형을 이용하여-)

  • Lim, Hea-Jin;Yoo, Seung-Hoon;Kwak, Seung-Jun
    • Journal of Korea Water Resources Association
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    • v.37 no.10
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    • pp.869-880
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    • 2004
  • The purpose of this study is to examine relationship between water consumption and economic growth in Korea, and to obtain policy implications of the results. To this end, we attempt to provide more careful consideration of the causality issues by applying rigorous techniques of Granger causality. Tests for unit roots, co-integration, and Granger causality based on an error-correction model are presented. The existence of bi-directional causality between water consumption and economic growth in Korea is detected. This finding has various implications for policy analysts and forecasters in Korea. Economic growth requires enormous water consumption, though there are many other factors contributing to economic growth, and water consumption is but one part of it. Thus, this study generates confidence in decisions to invest in the water supply infrastructure. Moreover, this study lends support to the argument that an increase in real income, ceteris paribus, gives rise to water consumption. Economic growth results in a higher proportion of national income spent on water supply services and stimulates further water consumption.

A Study on Optimization for Location and type of Dam Considering the Characteristic of Large Fault (대규모 단층특성을 고려한 최적 댐위치 및 형식 선정)

  • Kim, Han-Jung;Lyu, Young-Gwon;Kim, Young-Geun;Lim, Hee-Dae
    • Tunnel and Underground Space
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    • v.22 no.4
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    • pp.227-242
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    • 2012
  • Youngju multipurpose dam is planned to minimizing the damage by flood and obtaining the water for industrial use in Nakdong river region. Faults in rock mass have strong influences on the behaviors of dam structure. Thus, it is very important to analyse for the characteristics of fault rocks in dam design. However, due to the limitation of geotechnical investigation in design stages, engineers have to carry out the additional geological survey including directional boring to find the distribution of faults and the engineering properties of faults for stability of dam. Especially, the selection of location of dam and type of dam considering fault zone must be analyzed through various experimental and numerical analysis. In this study, various geological survey and field tests were carried out to analyse the characteristics of the large fault zone through the complex dam is designed in foundation region. Also, the distribution of structural geology, the shape of faults and the mechanical properties of fault rock were studied for the reasonable design of the location and type of dam for long-term stability of the complex dam.

Genetic Diversity and Population Structure of Liriope platyphylla (Liliaceae) in Korea (한국내 맥문동의 유전적 다양성과 집단 구조)

  • Huh, Hong-Wook;Choi, Joo-Soo;Lee, Bok-Kyu;Huh, Man-Kyu
    • Journal of Life Science
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    • v.17 no.3 s.83
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    • pp.328-333
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    • 2007
  • Genetic diversity and population structure of eleven Liriope platyphylla (Liliaceae) populations in Korea were determined using genetic variation at 20 allozyme loci. The percent of polymorphic loci within the enzymes was 55.9%. Genetic diversity at the species level and at the population level was high(Hes = 0.178; Hep = 0.168, respectively), whereas the extent of the population divergence was relatively low ($G_{ST}$ = 0.064). $F_{IS}$, a measure of the deviation from random mating within the 11 populations, was 0.311. Total genetic diversity values ($H_T$) varied between 0.0 and 0.535, giving an average over all polymorphic loci of 0.323. The interlocus variation in within population genetic diversity ($H_S$) was high (0.305). An indirect estimate of the number of migrants per generation (Nm = 3.66) indicates that gene flow is high among Korean populations of the species. In addition, analysis of fixation indices revealed a substantial heterozygosity deficiency in some populations and at some loci. Mean genetic identity between populations was 0.988. It is highly probable that directional toward genetic uniformity in a relatively the homogenous habitat is thought to be operated among Korean populations of L. platyphylla.

Life Prediction of Low Cycle Fatigue for Ni-base Superalloy GTD111 DS at Elevated Temperature (Ni기 초내열합금 GTD111 DS의 고온 저주기 피로수명 예측)

  • Kim, Jin Yeol;Yoon, Dong Hyun;Kim, Jae Hoon;Bae, Si Yeon;Chang, Sung Yong;Chang, Sung Ho
    • Transactions of the Korean Society of Mechanical Engineers A
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    • v.41 no.8
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    • pp.765-770
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    • 2017
  • GTD111 DS of nickel base superalloy has been used for gas turbine blades. In this study, low cycle fatigue test was conducted on the GTD111 DS alloy by setting conditions similar to the real operating environment. The low cycle fatigue tests were conducted at room temperature, $760^{\circ}C$, $870^{\circ}C$, and various strain amplitudes. Test results showed that fatigue life decreased with increasing total strain amplitude. Cyclic hardening response was observed at room temperature and $760^{\circ}C$; however, tests conducted at $870^{\circ}C$ showed cyclic softening response. Stress relaxation was observed at $870^{\circ}C$ because creep effects occurred from holding time. A relationship between fatigue life and total strain range was obtained from the Coffin-Manson method. The fratography using a SEM was carried out at the crack initiation and propagation regions.

Effects of Fisheries Technological Innovation on Growth per Capita across OECD Countries (수산부문 기술혁신이 OECD 회원국의 성장률에 미친 효과)

  • Lee, Yoonsuk;Chang, Jae Bong
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.18 no.4
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    • pp.349-357
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    • 2017
  • The environmental problems affecting marine resources and slow growth in the fisheries industry is causing many countries to look for alternative inputs that can boost the fisheries sector. This study focuses on the effects of technological innovation in the fisheries industry on the gross domestic product (GDP) per capita across Organization for Economic Cooperation and Development (OECD) countries. Using a panel dataset, this study attempts to estimate the different effects of technological innovations in the fisheries industry from country to country using the differences-in-differences (DiD) method. After the DiD method, the Granger causality test is applied to determine the interactive relations between economic growth and the selected variables associated with technological innovation in the fisheries industry, such as government spending on fisheries R&D, the number of patents in fisheries, and employment. The results obtained from the DiD estimation show that government spending on fisheries R&D, fisheries technology development, and fisheries employment positively influences the GDP per capita across OECD counties. From the causality test, we found different bi-directional causal relationships between the GDP per capita and (spending) on fisheries technology development across countries.

Container Image Recognition using Fuzzy-based Noise Removal Method and ART2-based Self-Organizing Supervised Learning Algorithm (퍼지 기반 잡음 제거 방법과 ART2 기반 자가 생성 지도 학습 알고리즘을 이용한 컨테이너 인식 시스템)

  • Kim, Kwang-Baek;Heo, Gyeong-Yong;Woo, Young-Woon
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.11 no.7
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    • pp.1380-1386
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    • 2007
  • This paper proposed an automatic recognition system of shipping container identifiers using fuzzy-based noise removal method and ART2-based self-organizing supervised learning algorithm. Generally, identifiers of a shipping container have a feature that the color of characters is blacker white. Considering such a feature, in a container image, all areas excepting areas with black or white colors are regarded as noises, and areas of identifiers and noises are discriminated by using a fuzzy-based noise detection method. Areas of identifiers are extracted by applying the edge detection by Sobel masking operation and the vertical and horizontal block extraction in turn to the noise-removed image. Extracted areas are binarized by using the iteration binarization algorithm, and individual identifiers are extracted by applying 8-directional contour tacking method. This paper proposed an ART2-based self-organizing supervised learning algorithm for the identifier recognition, which improves the performance of learning by applying generalized delta learning and Delta-bar-Delta algorithm. Experiments using real images of shipping containers showed that the proposed identifier extraction method and the ART2-based self-organizing supervised learning algorithm are more improved compared with the methods previously proposed.

Development of Remote Sensing Reflectance and Water Leaving Radiance Models for Ocean Color Remote Sensing Technique (해색 원격탐사를 위한 원격반사도 및 수출광 모델의 개발)

  • 안유환
    • Korean Journal of Remote Sensing
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    • v.16 no.3
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    • pp.243-260
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    • 2000
  • Ocean remote sensing reflectance of just above water level was modeled using inherent optical properties of seawater contents, total absorption (a) and backscattering(bb) coefficients ($R_{rs}$=0.046 $b_b$/(a+$b_b$). This modeling was based on the specific absorption and backscattering coefficients of 5 optically active seawater components; phytoplankton pigments, non-chlorophyllous suspended particles, dissolved organic matters, heterotrophic microorganisms, and the other unknown particle components. Simulated remote sensing reflectance($R_{rs}$) and water leaving radiance(Lw) spectra were well agreed with in-situ measurements obtained using a bi-directional fields remote spectrometer in coastal waters and open ocean. $R_{rs}$ values in SeaWiFS bands from the model were analyzed to develop 2-band ratio ocean color chlorophyll with those observed insitu. Also, chlorophyll algorithm based on remote reflectance developed in this study fell in those obtained by a SeaBAM working group. The model algorithms were examined and compared with those observed insitu. Also, chlorophyll algorithm based on remote reflectance developed in this study fell in those obtained by a SeaBAM working group. The remote reflectance model will be very helpful to understand the variation of water leaving radiances caused by the various components in the seawater, and to develop new ocean color algorithm for CASE-II water using neural network method or other analytical method, and in the model of fine atmospheric signal correction.

Implementation of GLCM/GLDV-based Texture Algorithm and Its Application to High Resolution Imagery Analysis (GLCM/GLDV 기반 Texture 알고리즘 구현과 고 해상도 영상분석 적용)

  • Lee Kiwon;Jeon So-Hee;Kwon Byung-Doo
    • Korean Journal of Remote Sensing
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    • v.21 no.2
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    • pp.121-133
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    • 2005
  • Texture imaging, which means texture image creation by co-occurrence relation, has been known as one of the useful image analysis methodologies. For this purpose, most commercial remote sensing software provides texture analysis function named GLCM (Grey Level Co-occurrence Matrix). In this study, texture-imaging program based on GLCM algorithm is newly implemented. As well, texture imaging modules for GLDV (Grey Level Difference Vector) are contained in this program. As for GLCM/GLDV Texture imaging parameters, it composed of six types of second order texture functions such as Homogeneity, Dissimilarity, Energy, Entropy, Angular Second Moment, and Contrast. As for co-occurrence directionality in GLCM/GLDV, two direction modes such as Omni-mode and Circular mode newly implemented in this program are provided with basic eight-direction mode. Omni-mode is to compute all direction to avoid directionality complexity in the practical level, and circular direction is to compute texture parameters by circular direction surrounding a target pixel in a kernel. At the second phase of this study, some case studies with artificial image and actual satellite imagery are carried out to analyze texture images in different parameters and modes by correlation matrix analysis. It is concluded that selection of texture parameters and modes is the critical issues in an application based on texture image fusion.

Ocean Surface Winds Over the Seas Around Korea Measured by the NSCAT(NASA Scatterometer) (NSCAT (NASA Scatterometer)에 의한 한국근해의 해상풍)

  • 이동규
    • Korean Journal of Remote Sensing
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    • v.14 no.1
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    • pp.37-52
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    • 1998
  • The NSCAT(NASA Scatterometer) carried by the japanese Advanced Earth Observing Satellite(ADEOS) was the first high resolution(25 km) device for the direct wind measurement over the ocean. Even it was ceased to operate in lune of 1977 because of the power failure, it gave the first opportunity to the marine meteorologists to study the direct measured ocean wind during its 9 months of operation, especially around Korea. This study is to show monthly mean ocean wind and wind stress curl fields around Korea from January, 1997 to June, 1997. Mean ocean winds in January are predominantly northwesterly and the strongest wind(12 m/s) is found near Vladivostok. The winds in the western East Sea are strongly inf1uenced by the mountain range in Korea and these topographically influenced winds make about five times larger wind stress curl fields than previous estimates based on the weather maps. The calculation of Sverdrup transport in the East Sea shows the possibility of the directional change of the East Korean Cold Current from southward to northward direction caused by the winter wind. The downwelling area near North Korea has maximum estimated speed of 45 m in january and this wind induced downwelling makes good condition for the formation of Intermediate East Sea Water together with vigorous mixing by the strong wind.

Aristotle's conception of kinesis (아리스토텔레스의 변화 개념)

  • Jeon, Jae-won
    • Journal of Korean Philosophical Society
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    • v.129
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    • pp.291-313
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    • 2014
  • The aim of this paper is to clarify the Aristotle's conception of change(kinesis). Aristotle defines the change as a process which actualize a potentiality. From Aristotle's definition of the change, a number of consequences flow directly about how to conceptualize it. First, the change is fundamentally directional. Second, if we do not know what the change is directed toward, we do not understand what the change is. Third, everything that changes is caused to change by a distinct cause of change, a changer. Fourth, there is a single actualization of cause and subject of the change. All change, for Aristotle, is the change of an enduring subject. And all change occur in the infinite(to apeiron) which is time, space, matter. It would be absurd to equate the whole and the infinite, for that would be to say that the unlimited had a limit. The infinite does not contain, but in so far as it is infinite, is contained. And due at least in part to its potentiality, the infinite is unknowable. Because it lacks a form. The infinite traditionally derived its dignity from being thought of as a whole in which everything is contained. But Aristotle removes the infinite from its position of majesty. Aristotle's this idea was a revolution in philosophical perspective.