79 research outputs found

    Chemometrics approach for species identification of pinus densiflora Sieb. et Zucc. and Pinus densiflora for. erecta Uyeki: -Species classification using near-infrared spectroscopy in combination with multivariate analysis

    Get PDF
    A model was designed to identify wood species between Pinus densiflora for. erecta Uyeki and Pinus densiflora Sieb. et Zucc. using the near-infrared (NIR) spectroscopy in combination with principal component analysis (PCA) and partial least square discriminant analysis (PLS-DA). In the PCA using all of the spectra, Pinus densiflora for. erecta Uyeki and Pinus densiflora Sieb. et Zucc. could not be classified. In the PCA using the spectrum that has been measured in sapwood, however, Pinus densiflora for. erecta Uyeki and Pinus densiflora Sieb. et Zucc. could be identified. In particular, it was clearly classified by sapwood in radial section. And more, these two species could be perfectly identified using PLS-DA prediction model. The best performance in species identification was obtained when the second derivative spectra was used; the prediction accuracy was 100%. For prediction model, the Rp 2 value was 0.86 and the RMSEP was 0.38 in second derivative spectra. It was verified that the model designed by NIR spectroscopy with PLS-DA is suitable for species identification between Pinus densiflora for. erecta Uyeki and Pinus densiflora Sieb. et Zucc

    A Simple Test for Optimal Fiscal and Monetary Policy Regimes: The Case of Korea (Written in Korean)

    No full text
    The optimal choice of the tax rate and the inflation rate framework is extended to yield relevant interpretations for the optimal fiscal and monetary policy regime in Korea. To study the relationship between the government budget and monetary growth in different environments of policy coordination, two models assuming different degrees of fiscal dominance are developed. By modelling differing institutional arrangements of the fiscal and the monetary authority from an optimal government finance viewpoint, we find the optimal relationship among some important fiscal and monetary variables. By testing the existence of the relationship empirically, we find the characteristics of the optimal policy-mix regime in Korea. The first model-the strong from of fiscal dominance-studies the optimal collection of seigniorage in a period-by-period optimization with standard assumptions on the income velocity of money, deriving a general testable result: the optimal inflation/tax rate ratio co-vary with the marginal revenue ratio. The second model-the weak form of fiscal dominance-studies an implication of the inflationary bias of discretionary monetary policy in the presence of fiscal side distortions. This model shows that the tax rate and the inflation rate can have a positive correlation. Empirical tests of the theoretical results are done for the Korean economy for 1972-1989 period. The test results show that the macroeconomic policy regime in Korea can be characterized by the strong form of fiscal dominance, implying the importance of the government budget in explaining money growth and inflation

    Correlating Video Quality Metrics to User Experience: an Event-based Approach

    No full text
    MasterMultimedia services have become an important part of todayโ€™s network offering. How to guarantee userโ€™s perception of delivered video quality is a critical problem for all content providers, especially when the underlying transportation uses a shared network infrastructure.In this thesis, we present an event-based model to correlate video quality metrics to user experience, as part of VIDAR - a comprehensive VIDeo quality Analyzer in Real time. Our model maps objective frame-level metrics to perceivable video defects with correlated user experience, using machine learning techniques.Through experiments, our model shows good classification accuracy of defect events while keeping the training time reasonable. Furthermore, we have developed user perception models for each event, which also show good prediction of the user experience when subjected to the specific type of events

    An Analysis of Macroeconomic Effects of Defence Expenditure and Policy Issues on the Structure of Defence Budget in Korea (Written in Korean)

    No full text
    ๋ณธ ๋…ผ๋ฌธ์—์„œ๋Š” ์šฐ๋ฆฌ๋‚˜๋ผ ๊ตญ๋ฐฉ์˜ˆ์‚ฐ ์šด์˜์˜ ๊ตญ๋ฏผ๊ฒฝ์ œ์  ํŒŒ๊ธ‰ํšจ๊ณผ์— ๋Œ€ํ•œ ์‹ค์ฆ๋ถ„์„์— ๊ธฐ์ดˆํ•˜์—ฌ ๊ตญ๋ฐฉ์˜ˆ์‚ฐ ๊ทœ๋ชจ๋…ผ์Ÿ์— ๋Œ€ํ•œ ๊ฒ€ํ† , ์ง€์ถœ๊ตฌ์กฐ์˜ ๊ฐœ์„ ๋ฐฉ์•ˆ, ๊ทธ๋ฆฌ๊ณ  ์ง€์ถœ๊ตฌ์กฐ ๊ฐœ์„ฑ์„ ์œ„ํ•œ ๊ตญ๋ฐฉ๋ถ€๋ฌธ์˜ ํšจ์œจํ™” ๋ฐฉํ–ฅ์„ ์ œ์‹œํ•˜์˜€๋‹ค. ์‹ค์ฆ๋ถ„์„์„ ์œ„ํ•ด Feder-Ram 2๋ถ€๋ฌธ-์™ธ๋ถ€ํšจ๊ณผ๋ชจํ˜•์— ๊ธฐ์ดˆํ•˜์—ฌ 1970๋…„๋Œ€ ์ดํ›„ ์ด๊ตญ๋ฐฉ๋น„โ€ค์šด์˜์œ ์ง€๋น„โ€ค๋ฐฉ์œ„๋ ฅ๊ฐœ์„ ๋น„ ๋“ฑ 3๊ฐ€์ง€์˜ ๊ตญ๋ฐฉ๋ถ€๋ฌธ ์ง€ํ‘œ๋ฅผ ์ด์šฉํ•œ ์‹ค์ฆ๋ถ„์„ ๊ฒฐ๊ณผ, ๋ฐฉ์œ„๋ ฅ๊ฐœ์„ ๋น„๊ฐ€ ๊ตญ๋ฏผ์ด์ƒ์‚ฐ์— ๋Œ€ํ•ด ์œ ์˜ํ•œ ์ •์˜ ํšจ๊ณผ๋ฅผ ๊ฐ–๋Š” ๊ฒƒ์œผ๋กœ ๋‚˜ํƒ€๋‚ฌ๋‹ค. ์ด๊ตญ๋ฐฉ๋น„์˜ ๊ฒฝ์šฐ ์œ ์˜์„ฑ์ด ์—†์—ˆ์œผ๋ฉฐ, ์šด์˜์œ ์ง€๋น„์˜ ๊ฒฝ์šฐ ์œ ์˜ํ•œ ๋ถ€์˜ ํšจ๊ณผ๋ฅผ ๊ฐ–๋Š” ๊ฒƒ์œผ๋กœ ๋‚˜ํƒ€๋‚ฌ๋‹ค. ๊ตญ๋ฐฉ์˜ˆ์‚ฐ ๊ทœ๋ชจ๋…ผ์Ÿ๊ณผ ๊ด€๋ จํ•˜์—ฌ, ์ตœ๊ทผ GDP ๋Œ€๋น„ ๊ตญ๋ฐฉ๋น„ ๋น„์ค‘๊ณผ ์•ˆ๋ณด์œ„ํ˜‘์„ ๊ณ ๋ คํ•œ ๊ตญ๊ฐ€๊ตฐ๋ณ„ ๋น„๊ต ๋“ฑ์„ ํ†ตํ•ด๋ณผ ๋•Œ, ์ง€๊ธˆ๊นŒ์ง€์˜ ์šฐ๋ฆฌ๋‚˜๋ผ ๊ตญ๋ฐฉ๋น„๊ทœ๋ชจ์˜ ์ƒ๋Œ€์  ๋น„์ค‘์ด ํ•˜๋ฝํ•˜๋Š” ์ถ”์„ธ๋ฅผ ๋” ์ด์ƒ ๊ธฐ๋Œ€ํ•˜๊ธฐ๋Š” ์–ด๋ ต๋‹ค๊ณ  ๋ณด๋Š” ๊ฒƒ์ด ํ˜„์‹ค์ ์ธ ์ธ์‹์ด๋ผ๊ณ  ํŒ๋‹จ๋œ๋‹ค. ์ด์ œ ๊ตญ๋ฐฉ์˜ˆ์‚ฐ ๊ด€๋ จ ๋…ผ์˜์˜ ์ดˆ์ ์€ ์ƒ๋Œ€์  ๊ทœ๋ชจ๋ฅผ ํฌํ•จํ•˜์—ฌ ๊ตญ๋ฐฉ์˜ˆ์‚ฐ๊ทœ๋ชจ ์ž์ฒด๋ณด๋‹ค๋Š” ๊ตญ๋ฐฉ์˜ˆ์‚ฐ์˜ ์ง€์ถœ๊ตฌ์กฐ์™€ ๋‚ด์—ญ์— ๋งž์ถ”์–ด์ ธ์•ผ ํ•˜๊ณ , ๊ตญ๋ฐฉ์˜ˆ์‚ฐ ์šด์˜์˜ ๋‚ญ๋น„์‚ฌ๋ก€๋ฅผ ๋ฐฉ์ง€ํ•˜๊ณ  ํšจ์œจ์„ฑโ€คํˆฌ๋ช…์„ฑ์„ ๋†’์—ฌ์„œ ์ ์ ˆํ•œ ์ง€์ถœ๊ตฌ์กฐ์™€ ๋ฐฐ๋ถ„๋‚ด์—ญโ€ค๋ฐฉ์‹์„ ์ด๋ฃจ๋Š” ๊ฒƒ์ด ๋˜์–ด์•ผ ํ•œ๋‹ค๊ณ  ํŒ๋‹จ๋œ๋‹ค. ๊ตญ๋ฐฉ์˜ˆ์‚ฐ ์ง€์ถœ๊ตฌ์กฐ์˜ ๊ฐœ์„ ์„ ์œ„ํ•ด์„œ ํˆฌ์ž๋น„ ์„ฑ๊ฒฉ์˜ ๋ฐฉ์œ„๋ ฅ๊ฐœ์„ ๋น„ ๋น„์ค‘์„ ๋†’์ด๋Š” ์˜ˆ์‚ฐ๊ตฌ์กฐ์ƒ์˜ ๊ฐœ์„ ์ด ๋งค์šฐ ์ค‘์š”ํ•œ ๊ณผ์ œ์ด๋‹ค. ์ด๋ฅผ ์œ„ํ•ด ๊ฐ์ข… ๊ฒฝ์‚ฌ๊ฒฝ๋น„์— ๋Œ€ํ•œ ์˜์ ๊ธฐ์ค€์˜ ๊ฒ€ํ† ์ž‘์—…๊ณผ ๋”๋ถˆ์–ด ์ธ๋ ฅ๊ณผ ์žฅ๋น„์˜ ๋Œ€์ฒด, ์ธ๋ ฅ๊ตฌ์กฐ์˜ ์กฐ์ • ๋“ฑ์„ ํ†ตํ•ด ๊ธฐ์ˆ ์ง‘์•ฝํ˜• ์ „๋ ฅ๊ตฌ์กฐ๋ฅผ ์ง€ํ–ฅํ•˜๋Š” ๋ณด๋‹ค ๊ทผ๋ณธ์ ์ธ ๊ตฌ์กฐ์กฐ์ •๋…ธ๋ ฅ์ด ์ด๋ฃจ์–ด์ ธ์•ผ ํ•  ๊ฒƒ์ด๋‹ค. ๋ฏธ๋ž˜์ „ ์–‘์ƒ์— ๋Œ€๋น„ํ•œ ๊ตฐ ์ฒจ๋‹จํ™”์˜ ํ•ต์‹ฌ์ธ ํ•ด์ƒ๋ฐฉ์œ„๋ ฅ ๋ฐ ํ•ญ๊ณต๋ ฅ ์ฆ๊ฐ• ๋“ฑ์ด ํ•„์ˆ˜์ ์ด๋ฉฐ, ์ง€์ƒ๊ตฐ ์œ„์ฃผ์—์„œ ์ƒ๋Œ€์ ์œผ๋กœ ํ•ดโ€ค๊ณต๊ตฐ ์ค‘์‹ฌ์˜ ๊ตฐ ๊ตฌ์กฐ๋กœ ๊ฐœ์„ ๋˜์–ด์•ผ ํ•  ๊ฒƒ์ด๋‹ค. ๊ตฌ์กฐ๊ฐœ์„ ์˜ ์™„๊ธ‰์กฐ์ ˆ๊ณผ ๊ตฐ๋ณ„๋ฐฐ๋ถ„์˜ ์ˆ˜ํ‰์  ๊ตฌ์กฐ๊ฐœ์„ ์„ ํ†ตํ•ด์„œ ์˜ˆ์‚ฐ๊ทœ๋ชจ์˜ ์ปค๋‹ค๋ž€ ์ฆ๋Œ€ ์••๋ ฅ ์—†์ด ์ถ”์ง„ ํ•  ์ˆ˜ ์žˆ๋Š” ๊ตฌ์กฐ๊ฐœ์„ ์€ ์‹œ๊ธ‰ํžˆ ์‹คํ˜„๋˜์–ด์•ผ ํ•  ๊ฒƒ์ด๋ฉฐ, ๊ตฌ์กฐ์กฐ์ • ์žฌ์›์˜ ์ƒ๋‹น๋ถ€๋ถ„์€ ๊ตฐ ๋‚ด๋ถ€์˜ ๋‚ญ๋น„์‚ฌ๋ก€๋ฅผ ๋ง‰๊ณ  ์ƒ์‚ฐ์„ฑ์„ ํš๊ธฐ์ ์œผ๋กœ ์ œ๊ณ ํ•ด์„œ ํ™•๋ณดํ•  ์ˆ˜ ์žˆ์–ด์•ผ ํ•  ๊ฒƒ์ด๋‹ค. ๊ตญ๋ฐฉ์˜ˆ์‚ฐ ์šด์˜์˜ ํšจ์œจ์„ฑโ€คํˆฌ๋ช…์„ฑ ์ œ๊ณ ๋ฅผ ์œ„ํ•ด์„œ๋Š” ๊ตฐ ๋‚ด๋ถ€ ์ž์›๊ด€๋ฆฌ๊ธฐ๋Šฅ์ด ๊ฐ•ํ™”๋˜์–ด์•ผ ํ•˜๊ณ , ๊ตฐ์กฐ์ง ์šด์˜์— ์žˆ์–ด์„œ๋„ ๋ฏผ๊ฐ„๋ถ€๋ฌธ์— ์ƒ์‘ํ•˜๋Š” ๊ฒฝ์˜ํšจ์œจ์„ฑ ๊ฐœ๋…์˜ ๊ณผ๊ฐํ•œ ๋„์ž…์ด ์š”๊ตฌ๋œ๋‹ค. ์ง€๊ธˆ๊นŒ์ง€์˜ โ€˜๊ตญ๋ฐฉ์ „๋ ฅ ๊ทน๋Œ€ํ™”โ€™๋ฅผ ์œ„ํ•œ ๊ตฐ์ธ์ค‘์‹ฌ์˜ ํš์ผ์ โ€คํ์‡„์  ๊ตฐ์กฐ์ง ์šด์˜์—์„œ ๋ฒ—์–ด๋‚˜ ์กฐ์งโ€ค์ธ์‚ฌโ€ค์˜ˆ์‚ฐ ์šด์˜ ์ „๋ฐ˜์— ๊ฑธ์นœ ๊ฒฝ์˜ํ˜์‹ ์„ ์ด๋ฃจ์–ด๋‚˜๊ฐ€๋Š” ์ฃผ์š” ์ •์ฑ…๋ฐฉํ–ฅ์€ ์ผ๋ถ€ ๊ธฐ๋Šฅโ€ค์กฐ์ง์˜ ๋ฏผ์˜ํ™” ๋ฐ ๋ฏผ๊ฐ„์œ„ํƒ์˜ ํ™•๋Œ€, ๋ฏผ๊ฐ„์ „๋ฌธ์ธ๋ ฅ์˜ ํ™œ์šฉ๋„ ์ œ๊ณ , ์ž์œจ์  ์ฑ…์ž„๊ฒฝ์ด ํ•„์š”ํ•œ ๋ถ€๋ฌธ์„ ๋Œ€์ƒ์œผ๋กœ ํ•œ ใ€Œ์ฑ…์ž„๊ฒฝ์˜์‚ฌ์—…์†Œ(Agency)์ œ๋„ใ€์˜ ๋„์ž… ๋“ฑ์ด๋‹ค. ๋˜ํ•œ ์œ ์‚ฌ๊ธฐ๋Šฅ์„ ๊ฐ–๋Š” ์กฐ์ง๊ณผ ๊ฐ๊ตฐ๋ณ„๋กœ ๋ณ„๋„๋กœ ์„ค๋ฆฝ๋˜์–ด ์ค‘๋ณต๋˜๋Š” ๊ธฐ๋Šฅ์„ ์ˆ˜ํ–‰ํ•˜๋Š” ๊ธฐ๊ด€์„ ํ†ตํŽ˜ํ•ฉํ•ด์•ผ ํ•  ๊ฒƒ์ด๋‹ค

    An Annual Macroeconomic Model of the Korean Economy and Policy Shock Simulation (Written in Korean)

    No full text
    ๋ณธ๊ณ ์˜ ใ€Œ์—ฐ๊ฐ„๊ฑฐ์‹œ๋ชจํ˜•ใ€์€ ๊ฒฝ์ œ๊ตฌ์กฐ๊ฐ€ ๋น„๊ต์  ๋™์งˆ์ ์ด๋ผ ํ•  ์ˆ˜ ์žˆ๋Š” 1970๋…„๋Œ€ ์ดํ›„์˜ ์—ฐ๊ฐ„์ž๋ฃŒ๋ฅผ ์ด์šฉํ•˜์—ฌ ์ฃผ์š”์ด๋Ÿ‰์ง€ํ‘œ์˜ ๋ณ€๋™์„ ํ†ตํ•ฉยท๋‹จ์ˆœํ™”๋œ ๊ตฌ์กฐ์‹์œผ๋กœ ํŒŒ์•…ํ•จ์œผ๋กœ์จ, ๊ฑฐ์‹œ๊ฒฝ์ œ์ •์ฑ… ํšจ๊ณผ๋ถ„์„๊ณผ ์ค‘ยท๋‹จ๊ธฐ ์˜ˆ์ธก์— ์ ํ•ฉํ•˜๋„๋ก ๊ฐœ๋ฐœ๋˜์—ˆ๋‹ค. ๋™ ๋ชจํ˜•์€ ์ฃผ์š”๊ฐ€๊ฒฉ๋ณ€์ˆ˜๋“ค์˜ ๋‚ด์ƒํ™”์™€ GNP๊ฐญ๋ณ€์ˆ˜์˜ ๋„์ž…์„ ํ†ตํ•ด ๊ธฐ์กด๋ชจํ˜•๋“ค์˜ ๊ฐ€๊ฒฉ์˜ ๋‚ด์ƒ์„ฑ ๊ฒฝ์‹œ ๋ฐ ๊ณต๊ธ‰์ธก๋ฉด ๊ฒฝ์‹œ์  ๊ตฌ์กฐ๋ฅผ ๋ณด์™„ํ•˜๊ณ  ์žˆ์œผ๋ฉฐ, 80๋…„๋Œ€ ์ดํ›„ ์ตœ๊ทผ์— ์ด๋ฅด๊ธฐ๊นŒ์ง€ ์šฐ๋ฆฌ ๊ฒฝ์ œ์˜ ๊ฑฐ์‹œ๊ฒฝ์ œ๋ณ€๋™์„ ์ƒ๋‹นํžˆ ์•ˆ์ •์ ์œผ๋กœ ์ถ”์ ํ•˜๋Š” ๊ฒƒ์œผ๋กœ ๋‚˜ํƒ€๋‚ฌ๋‹ค. ใ€Œ์—ฐ๊ฐ„๊ฑฐ์‹œ๋ชจํ˜•ใ€์— ์˜ํ•œ ํ†ตํ™”ยท๊ธˆ๋ฆฌ์ •์ฑ… ํšจ๊ณผ์˜ ๋ถ„์„ ๊ฒฐ๊ณผ, ์—ฌยท์ˆ˜์‹ ๊ธˆ๋ฆฌ์˜ ์ธ์ƒ์€ ์†Œ๋“ ๋ฐ ๋ฌผ๊ฐ€์˜ ํ•˜๋ฝ๊ณผ ๊ตญ์ œ์ˆ˜์ง€์˜ ๊ฐœ์„ ์„ ๊ฐ€์ ธ์˜ค๋Š” ๊ฒƒ์œผ๋กœ ๋‚˜ํƒ€๋‚ฌ์œผ๋ฉฐ, ๊ณ„์†์ถฉ๊ฒฉ์˜ ๊ฒฝ์šฐ ์—ฌยท์ˆ˜์‹ ๊ธˆ๋ฆฌ 1%ํฌ์ธํŠธ์˜ ์ธ์ƒ์€ ํ‰๊ท  0.277%์˜ ์‹ค์งˆ์†Œ๋“ ๊ฐ์†Œํšจ๊ณผ๋ฅผ ๊ฐ–๋Š” ๊ฒƒ์œผ๋กœ ๋‚˜ํƒ€๋‚ฌ๋‹ค. ๊ณ„์†์ ์ธ ํ†ตํ™”๋Ÿ‰ 1%์˜ ์ฆ๊ฐ€๋Š” ๋ฌผ๊ฐ€๋ฅผ ๋ˆ„์ ์ ์œผ๋กœ ์ƒ์Šน์‹œ์ผœ์„œ 4๋…„ํ›„์—๋Š” ์ƒ์Šนํšจ๊ณผ๊ฐ€ 0.249%์— ๋‹ฌํ•˜๊ฒŒ ๋˜๋Š” ๊ฒƒ์œผ๋กœ ๋‚˜ํƒ€๋‚ฌ๋‹ค. ๋™ ๋ชจํ˜•์—์„œ๋Š” ์—ฌ์‹ ๊ธˆ๋ฆฌ์˜ ์ธ์ƒ์ด ๊ฒฝ์ œ์•ˆ์ •ํ™” ํšจ๊ณผ๋ฅผ ํ†ตํ•ด ์˜คํžˆ๋ ค ์‹ค์งˆ๊ธˆ๋ฆฌ์˜ ์•ˆ์ •์— ๊ธฐ์—ฌํ•˜๋Š” ๊ฒƒ์œผ๋กœ ๋‚˜ํƒ€๋‚ฌ๋‹ค. ์žฌ์ •์ •์ฑ…์˜ ์ •์ฑ…์‹คํ—˜ ๊ฒฐ๊ณผ, ์ •๋ถ€์†Œ๋น„์˜ ์ฆ๊ฐ€๋กœ ๋‚˜ํƒ€๋‚˜๋Š” ์žฌ์ •๊ทœ๋ชจ ์ฆ๋Œ€์˜ ๊ฒฝ์šฐ ์žฌ์ •์ ์ž๋ฅผ ์ˆ˜๋ฐ˜ํ•˜๋Š” ๊ฒฝ์šฐ์™€ ์ˆ˜๋ฐ˜ํ•˜์ง€ ์•Š๋Š” ๊ฒฝ์šฐ์˜ ์ฐจ์ด๊ฐ€ ๋‹จ์ ์œผ๋กœ ๋‚˜ํƒ€๋‚ฌ๋‹ค. ์žฌ์ •๊ทœ๋ชจ์˜ ์ฆ๋Œ€๋Š” ๋‘๊ฐ€์ง€ ๊ฒฝ์šฐ ๋ชจ๋‘์— ์žˆ์–ด์„œ ๋ฌผ๊ฐ€์ƒ์Šน์„ ์œ ๋ฐœํ•˜์ง€๋งŒ ๊ทธ ์‹ค์ œ์  ํฌ๊ธฐ๋Š” ์žฌ์ •์ ์ž๋ฅผ ์ˆ˜๋ฐ˜ํ•˜๋Š” ๊ฒฝ์šฐ ํ›จ์”ฌ ํฌ๊ฒŒ ๋‚˜ํƒ€๋‚ฌ๋‹ค. ์žฌ์ •๊ทœ๋ชจ์˜ ์ฆ๊ฐ€๊ฐ€ ์ผ์‹œ์ ์ผ ๊ฒฝ์šฐ, ๋‘๊ฐ€์ง€ ๊ฒฝ์šฐ ๋ชจ๋‘์— ์žˆ์–ด ๋ฌผ๊ฐ€์— ๋Œ€ํ•œ ์ •์˜ ํšจ๊ณผ๋Š” ์ง€์†์ ์ธ ๋ฐ˜๋ฉด ์‹ค์งˆ์†Œ๋“์— ๋Œ€ํ•œ ํšจ๊ณผ๋Š” ์ผ์‹œ์ ์ธ ๊ฒƒ์œผ๋กœ ๋‚˜ํƒ€๋‚ฌ๋‹ค
    • โ€ฆ
    corecore