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Automatic Parking System using Background Subtraction with CCTV Environment
Jungseok Cho,Jinrak Park,Untae Baek,Donghyun Hwang,Seibum Choi,Soohyun Kim,Kyungsoo Kim 제어로봇시스템학회 2016 제어로봇시스템학회 국제학술대회 논문집 Vol.2016 No.10
In this paper, a new automatic parking approach that uses a surveillance camera is suggested. Many parking lots have surveillance cameras. Vehicle position, attitude, and parking space detection methods using a based on CCTV environment are introduced. An entire auto parking system is realized using a small experimental vehicle. Existing auto parking systems are primarily ADAS (advanced driver assistance systems) that use extra sensors such as external cameras, ultrasonic sensors, and so on. The authors suggest an automatic parking system that does not impose an economic burden on drivers. Instead, drivers can use an automatic parking system based on CCTV environment, a central process computer, and a communication method between the computer and the driver’s car.
Donghyun Kim,Sora Park,Sung-ik Park,Seokhyun Yoon,Youngtae Lee 대한전자공학회 2008 ITC-CSCC :International Technical Conference on Ci Vol.2008 No.7
In this paper, the performance of equalization-based on-channel repeater for terrestrial DMB is analyzed. A primary concern in on-channel repeater is the performance degradation due to the echo and one of key component for on-channel repeater is the echo canceller, which usually employs LMS algorithm utilizing the repeater output as a reference for echo channel estimation and compensation. One problem using LMS algorithm is the tracking capability and there necessarily exists residual echo that has not been cancelled. To effectively remove the residual echo, we consider an equalization based on-channel repeater where the echo-canceller is followed by an equalizer that performs channel estimation using pilot symbol and the channel inversion utilizing homomorphic decomposition. According to the simulation result, the performance degradation caused by the residual echo can be considerably alleviated by using the equalizer following the echo-canceller.
The Potential Impact of the U.S. Federal Reserve’s Monetary Policy Normalization on Emerging Asia
Donghyun Park,Arief Ramayandi,Shu Tian 한국APEC학회 2017 Journal of APEC Studies Vol.9 No.2
In response to the global financial crisis of 2008-2009, which threatened to paralyze the global financial system and world economy, the U.S. Federal Reserve embarked on an unprecedented monetary expansion to support financial stability and economic growth. In response to improving economic conditions, the Fed has begun to normalize monetary policy since December 2015. In addition to gradually raising benchmark interest rates, which had reached virtually zero, the Fed will unwind the huge amounts of debt securities it had acquired to keep down long-term interest rates. There are widespread concerns in emerging Asia and other emerging markets that the Fed’s interest rate hikes and balance sheet unwinding will have serious repercussions for financial stability. In this paper, we attempt to analyze the effect of the Fed’s monetary policy normalization on emerging Asia. Our analysis indicates that the overall impact of normalization on the region’s financial stability is likely to be manageable and relatively limited in the short run. However, beyond the short run, the Fed’s policies are likely to herald a tightening of global liquidity conditions. Therefore, it is in emerging Asia’s interest to strengthen its financial conditions and remain vigilant.
The Prospects for Further Economic Integration in ASEAN
Park, Donghyun 세종대학교 국제경제연구소 1999 Journal of Economic Integration Vol.14 No.3
The Association of Southeast Asian Nations (ASEAN), which celebrated its 30th anniversary in 1997, has enjoyed remarkable success as a forum for political coperation among the states of Southeast Asia. The challenge for ASEAN now is to replicate its political success in the sphere of economic cooperation, where it has had much less success up to now. The main goal of our paper is to investigate the likelihood that ASEAN can, in fact, become an engine of greater economic integration among the countries of Southeast Asia. In particular, we explore the future prospects for AFTA, the regional free trade area. (JEL Classification: F15, F14, F02)
Park, Donghyun,Choi, Sun Shim Elsevier 2009 FEBS letters Vol.583 No.7
<P>This article has been retracted at the request of the Editor-in-Chief. Please see Elsevier Policy on Article Withdrawal (http://www.elsevier.com/locate/withdrawalpolicy).</P><P>Reason: The authors have plagiarized part of a paper that had already appeared in Pál, C., Papp, B. and Lercher, M.J. An integrated view of protein evolution. <I>Nature Rev. Genet.</I>, 7 (2006) 337–348, doi:10.1038/nrg1838.</P><P>One of the conditions of submission of a paper for publication is that authors declare explicitly that their work is original and has not appeared in a publication elsewhere. Re-use of any data should be appropriately cited. As such this article represents a severe abuse of the scientific publishing system. The scientific community takes a very strong view on this matter and we apologize to readers of the journal that this was not detected during the submission process.</P>
( Donghyun Lee ),( Jae-hyun Park ),( Kwang-ho Kim ),( Jeong-sik Park ),( Ji-hwan Kim ),( Gil-jin Jang ),( Unsang Park ) 한국인터넷정보학회 2017 KSII Transactions on Internet and Information Syst Vol.11 No.9
In this paper, maximum likelihood-based automatic lexicon generation using mixed-syllables is proposed for unlimited vocabulary voice interface for East Asian languages (e.g. Korean, Chinese and Japanese) in AI-assistant based interaction with mobile devices. The conventional lexicon has two inevitable problems: 1) a tedious repetition of out-of-lexicon unit additions to the lexicon, and 2) the propagation of errors during a morpheme analysis and space segmentation. The proposed method provides an automatic framework to solve the above problems. The proposed method produces a level of overall accuracy similar to one of previous methods in the presence of one out-of-lexicon word in a sentence, but the proposed method provides superior results with the absolute improvements of 1.62%, 5.58%, and 10.09% in terms of word accuracy when the number of out-of-lexicon words in a sentence was two, three and four, respectively.