IMF Predicts S. Korea's Economy to Grow 3.5% in 2012

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IMF Predicts S. Korea's Economy to Grow 3.5% in 2012

机译：国际货币基金组织预测韩国经济将在2012年增长3.5％

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The International Monetary Fund (IMF) predicted on April 17 that South Korea's economy will grow 3.5% this year as forecast earlier in January and 4% next year. But its outlook for the South Korea's annual economic growth rate in 2012 is 0.5% points lower than its previous estimate in September last year and same as the revised recent forecast by the Bank of Korea.

机译：国际货币基金组织（IMF）在4月17日预测，韩国的经济今年将增长3.5％，如一月初预测的那样，明年将增长4％。但是，韩国对2012年韩国经济年增长率的预期比去年9月的预期低了0.5％，与韩国银行最近的修正预测相同。

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《The Korea Metal Journal》 |2012年第20期|共1页
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1. IMF Predicts S. Korea's Economy to Grow 3.5% in 2012 [J] . The Korea Metal Journal . 2012,第11a20期

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5. A family affair: The political economy of media ownership in the Republic of Korea (1998-2012). [D] . Kim, Chunhyo. 2014

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6. Burden and predictors of Staphylococcus aureus and S. pseudintermedius infections among dogs presented at an academic veterinary hospital in South Africa (2007–2012) [O] . Daniel N. Qekwana, James Wabwire Oguttu, Fortune Sithole, -1

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7. EEG Signal Discrimination using Non-linear Dynamics in the EMD Domain S. M. Shafiul Alam,S. M. Shafiul Alam,Aurangozeb, and Syed TarekShahriar Abstract—An EMD-chaos based approach is proposed todiscriminate EEG signals corresponding to healthy persons,and epileptic patients during seizure-free intervals and seizureattacks. An electroencephalogram (EEG) is first empiricallydecomposed to intrinsic mode functions (IMFs). The nonlineardynamics of these IMFs are quantified in terms of the largestLyapunov exponent (LLE) and correlation dimension (CD).This chaotic analysis in EMD domain is applied to a large groupof EEG signals corresponding to healthy persons as well asepileptic patients (both with and without seizure attacks). It isshown that the values of the obtained LLE and CD exhibitfeatures by which EEG for seizure attacks can be clearlydistinguished from other EEG signals in the EMD domain.Thus, the proposed approach may aid researchers in developingeffective techniques to predict seizure activities. Index Terms—Electroencephalogram (EEG), empiricalmode decomposition (EMD), largest Lyapunov exponent (LLE),correlation dimension (CD), epileptic seizures. The Authors are with the Electrical and Electronic EngineeringDepartment, Bangladesh University of Engineering and Technology,Dhaka-1000, Bangladesh (e-mail: imamul@eee.buet.ac.bd) PDF Cite: S. M. Shafiul Alam,S. M. Shafiul Alam,Aurangozeb, and Syed Tarek Shahriar, "EEG Signal Discrimination using Non-linear Dynamics in the EMD Domain," International Journal of Computer and Electrical Engineering vol. 4, no. 3, pp. 326-330, 2012. PREVIOUS PAPER Perception of Emotions Using Constructive Learningthrough Speech NEXT PAPER Physical Layer Impairments Aware OVPN Connection Selection Mechanisms Copyright © 2008-2013. International Association of Computer Science and Information Technology Press (IACSIT Press) [O] . S. M. Shafiul Alam, Syed TarekShahriar 2012

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机译：经济概况：韩国，众议院对183个国家的国内企业的监管比较。

IMF Predicts S. Korea's Economy to Grow 3.5% in 2012

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