• Title/Summary/Keyword: power trade

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A Study on the Status and Prospects of Korean Female Travelers in Outbound Travel Market from Service Trade Point of View

  • Seo, Hyun;Kim, Kyung-Han
    • International Commerce and Information Review
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    • v.8 no.1
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    • pp.437-453
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    • 2006
  • Services could move over the world where they want to go. Especially, travel services shared 29.4 percent of total world exports, 625 billion dollars in 2004 (WTO, 2005). Tourism is a very important sector in service trade in the world. Of developing countries, Korea has been experiencing remarkable development in female outbound travel market since the complete liberalization on overseas travels in 1989, with about 3.85 million travelers in 2005, 2,000 percent growth rate over 1988. It means woman's social status has been increasing in Korea. Especially, in the study young housekeepers, solely office ladies, and college students were described as very important market segments in Korean woman outbound travel market. They were not only major decision makers, but also executors because of both enough economic power and social status improvement on small sized family. This study indicated that woman outbound travel market gets larger because their buying power and status are going to go improved in Korean social system. It is recommended that marketers be worth watching Korean woman travellers as a major target market through continuos observation and analysis.

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Prediction on Busan's Gross Product and Employment of Major Industry with Logistic Regression and Machine Learning Model (로지스틱 회귀모형과 머신러닝 모형을 활용한 주요산업의 부산 지역총생산 및 고용 효과 예측)

  • Chae-Deug Yi
    • Korea Trade Review
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    • v.47 no.2
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    • pp.69-88
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    • 2022
  • This paper aims to predict Busan's regional product and employment using the logistic regression models and machine learning models. The following are the main findings of the empirical analysis. First, the OLS regression model shows that the main industries such as electricity and electronics, machine and transport, and finance and insurance affect the Busan's income positively. Second, the binomial logistic regression models show that the Busan's strategic industries such as the future transport machinery, life-care, and smart marine industries contribute on the Busan's income in large order. Third, the multinomial logistic regression models show that the Korea's main industries such as the precise machinery, transport equipment, and machinery influence the Busan's economy positively. And Korea's exports and the depreciation can affect Busan's economy more positively at the higher employment level. Fourth, the voting ensemble model show the higher predictive power than artificial neural network model and support vector machine models. Furthermore, the gradient boosting model and the random forest show the higher predictive power than the voting model in large order.

Machine Learning and Deep Learning Models to Predict Income and Employment with Busan's Strategic Industry and Export (머신러닝과 딥러닝 기법을 이용한 부산 전략산업과 수출에 의한 고용과 소득 예측)

  • Chae-Deug Yi
    • Korea Trade Review
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    • v.46 no.1
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    • pp.169-187
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    • 2021
  • This paper analyzes the feasibility of using machine learning and deep learning methods to forecast the income and employment using the strategic industries as well as investment, export, and exchange rates. The decision tree, artificial neural network, support vector machine, and deep learning models were used to forecast the income and employment in Busan. The following were the main findings of the comparison of their predictive abilities. First, the decision tree models predict the income and employment well. The forecasting values for the income and employment appeared somewhat differently according to the depth of decision trees and several conditions of strategic industries as well as investment, export, and exchange rates. Second, since the artificial neural network models show that the coefficients are somewhat low and RMSE are somewhat high, these models are not good forecasting the income and employment. Third, the support vector machine models show the high predictive power with the high coefficients of determination and low RMSE. Fourth, the deep neural network models show the higher predictive power with appropriate epochs and batch sizes. Thus, since the machine learning and deep learning models can predict the employment well, we need to adopt the machine learning and deep learning models to forecast the income and employment.

A Study on the Culture Marketing Using the "Digital Costume Avatar"

  • Kim, Young-Sam
    • Proceedings of the Korea Society of Costume Conference
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    • 2003.10a
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    • pp.77-77
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    • 2003
  • If we look closely to the power shift of the powerful countries historically. during the 16th century Spain's power came from gold, colony trade, the mercenary force, close relation with the thrown, 17th century Netherlands owes their power to trade, capital market, the marines, 18th century France owes it to population, agriculture, public administration, and the army. Also, England had their industry, political unity, finance and trust, the marines, liberalistic principles, a geographical merit of being an island which can be defended well and the 20th century America has their cosmopolitan culture, supernational communication, the capacity of the economy, science technology, military strength, alliances, liberalism international formation. But in the 21st century culture and art will prevail over the information age where technology and knowledge was the key, and it is predicted that this will be the source of power for a strong country. Rolfe Yesson, the head of The Copenhagen Research Center for future studies said, "Information age has ended and in the future Dream Society will arrive which focuses on making distinctions by delivering dreams and emotions to consumers". As cyberspace gradually substitutes reality, cyberspace has become more than an information search engine and has become a place where people fulfill their desires and exchange culture. And as a medium for diffusing culture, the importance of the digital dress-up avatar is predicted to increase gradually.gradually.

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Space-Stretch Tradeoff Optimization for Routing in Internet-Like Graphs

  • Tang, Mingdong;Zhang, Guoqiang;Liu, Jianxun
    • Journal of Communications and Networks
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    • v.14 no.5
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    • pp.546-553
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    • 2012
  • Compact routing intends to achieve good tradeoff between the routing path length and the memory overhead, and is recently considered as a main alternative to overcome the fundamental scaling problems of the Internet routing system. Plenty of studies have been conducted on compact routing, and quite a few universal compact routing schemes have been designed for arbitrary network topologies. However, it is generally believed that specialized compact routing schemes for peculiar network topologies can have better performance than universal ones. Studies on complex networks have uncovered that most real-world networks exhibit power-law degree distributions, i.e., a few nodes have very high degrees while many other nodes have low degrees. High-degree nodes play the crucial role of hubs in communication and inter-networking. Based on this fact, we propose two highest-degree landmark based compact routing schemes, namely HDLR and $HDLR^+$. Theoretical analysis on random power-law graphs shows that the two schemes can achieve better space-stretch trade-offs than previous compact routing schemes. Simulations conducted on random power-law graphs and real-world AS-level Internet graph validate the effectiveness of our schemes.

Design and Implementation of Low-power CSD Considering Beacon Period and Channel Scan Time (비컨 주기와 채널 탐색기간을 고려한 저전력 CSD의 설계 및 구현)

  • Kim, Taek-Hyun;Park, Se-Young;Choi, Hoon;Baek, Yun-Ju
    • Journal of KIISE:Computing Practices and Letters
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    • v.16 no.1
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    • pp.50-54
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    • 2010
  • A Container Security Device (CSD) which is different existing RFID Tag strengthens the physical security as mounted inside the container and the information security as encrypts doubly a data. CSD must use the resources efficiently in order to operate with the battery. Therefore, it needs low-power mechanism which repeats the sleep period and channel scan period. However, by adjusting these periods, the trade-off occurs between energy efficiency and network connectivity. In this paper, we implement low-power CSD and resolve this problem by adjusting beacon period and channel scan time. As a result, We guarantee the network connectivity 95% or more and maximum life up to 16 days using common AA batteries.

An Empirical Study on the Effect of Inflation Targeting on PPP: Evidence From 19 OECD countries (물가안정목표제가 구매력평가에 미친 영향: 19개의 OECD 국가들을 대상으로)

  • Eun-Son Lim
    • Korea Trade Review
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    • v.47 no.5
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    • pp.75-93
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    • 2022
  • Purchasing Power Parity (hereafter, PPP) means the purchasing power of two currencies is the same when one is converted into the other one. According to previous studies on PPP, as the volatility of the real exchange rate is smaller, PPP may be more likely to hold. Since New Zealand adopted the inflation targeting policy in December 1989, many countries started to adopt it as their monetary policy frame. Previous studies on inflation targeting found that inflation targeting policy has positive effects on not only achieving price stability but also reducing the volatility of nominal/ real exchange rates. Therefore, in this study, I explored whether inflation targeting policy has positive effects on purchasing power parity subject to 19 OECD countries, applying an Exponential Smooth Transition Autoregressive (ESTAR) model during the sample periods, from 1974:Q1 to 2019:Q4. Based on the ESTAR estimate results, I found limited favorable evidence of PPP for only two countries- England and Switzerland- among 9 inflation targeters, compared to non-inflation targeters, and also I found that favorable evidence of PPP only for these two countries among 9 inflation targeters during post-inflation targeting, but not during pre-inflation targeting. These findings imply that the positive effects of inflation targeting on PPP may be questionable unlike Ding and Kim (2012) and Kim (2014)'s study.

Desk-Top Robot with Power Factor Correction (역률개선 회로를 적용한 Desk-Top Robot)

  • Chun, Kwang-Su;Kim, Hak-Jin
    • Proceedings of the KIPE Conference
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    • 2007.07a
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    • pp.343-346
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    • 2007
  • Recently, many nations have released standard such as EN61000-3-2 to impose a limit on the harmonic current to prevent distortion of AC line and to save energy. Also, the limit on the harmonic current makes use of a trade barrier. Therefore, Power factor correction must have been suitable for a limit on the harmonic current. This paper presents AC servo motor drive to have merits of high power factor for Desk-Top Robot.

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A Study on the Improvement of Competitive Power of Small and Medium Export Business through using the BPO and SCF (BPO·공급망금융의 이용을 통한 중소수출기업의 경쟁력 제고방안에 관한 연구)

  • Jang, Eun-Hee;Hwang, Jee-Hyon
    • Korea Trade Review
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    • v.42 no.5
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    • pp.233-252
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    • 2017
  • The fast changes of global financial environment in recent years increase the risk of trade settlement. This means are required to minimize risk of non payment and to maximize secure payment. Open Account trade accounts for 90% of global trade flows. The O/A system means that the goods, along with all the necessary documents, are shipped and delivered before payment is due, usually within a time frame from 30 to 90 days. Meanwhile, Korean small and medium-sized export enterprises are compelled to globalize their activities owing to limitation and competitiveness of domestic marketplace. To keep face with the global trade settlement system and to support globalization of small and medium-sized export firms, the BPO together with Supply Chain Finance will be solutions. The introduction of the BPO system will allow banks to broaden O/A offerings to their client base and due to secure safety, sellers could ship the goods without delay according to orders and buyers could settle promptly by payment undertaking of correspondent banks. Therefore, it is more effective for companies which have sustainable customers and stable transaction. This study take a look at the trend of the global payment systems and suggested limitation of existed payment in order to derive improvement measures of electronic payment for small and medium-sized export enterprises.

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Electrothermal Analysis for Super-Junction TMOSFET with Temperature Sensor

  • Lho, Young Hwan;Yang, Yil-Suk
    • ETRI Journal
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    • v.37 no.5
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    • pp.951-960
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    • 2015
  • For a conventional power metal-oxide-semiconductor field-effect transistor (MOSFET), there is a trade-off between specific on-state resistance and breakdown voltage. To overcome this trade-off, a super-junction trench MOSFET (TMOSFET) structure is suggested; within this structure, the ability to sense the temperature distribution of the TMOSFET is very important since heat is generated in the junction area, thus affecting its reliability. Generally, there are two types of temperature-sensing structures-diode and resistive. In this paper, a diode-type temperature-sensing structure for a TMOSFET is designed for a brushless direct current motor with on-resistance of $96m{\Omega}{\cdot}mm^2$. The temperature distribution for an ultra-low on-resistance power MOSFET has been analyzed for various bonding schemes. The multi-bonding and stripe bonding cases show a maximum temperature that is lower than that for the single-bonding case. It is shown that the metal resistance at the source area is non-negligible and should therefore be considered depending on the application for current driving capability.