• Strategy21
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• s.39
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• pp.114-139
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• 2016

Korea and China are neighboring countries with close contacts in many areas from long time ago, and have shared interests in maintaining peace and stability on the Korean Peninsula, and in deepening economic relationship which has been mutually complementary in their nature. Therefore their bilateral relations has been developed at a remarkable pace to the extent that it can't be better than now. However, the differences in their responses to North Korean nuclear test and ensuing long-range ballistic missile test-fire and the Chinese strong concern on the possible deployment of THAAD (Terminal High Altitude Air Defence) anti-missile system in Korea show that there are some weaknesses in their relations. For example, Korea is not still confident that China would fully implement the sanction measures contained in the UNSC resolution and I argue that Chinese proposal of parallel negotiation of the denuclearization and the replacement of Korean armistice with the Peace Agreement is not much persuasive. In THAAD issue, if Korea comes to conclusion in the future that THAAD is the most effective way to counter North Korean threats, Korea should make every efforts to assure China that Korea-US alliance is not targeting China, and the THAAD is a defensive system, not damaging Chinese security. In the longer-term, deepening strategic distrust and competition between the US and China in this part of East Asia, changing nature of economic cooperation between Korea and China, and the revival of 'great country mentality' by Chinese people together with the rising nationalism in both Korea and China would cast shadow on Korea-China relation in the years ahead, unless properly handled. In this regard, I suggest that the security communications between the two countries be further strengthened, and the tri-lateral dialogue channel be established among the three countries of Korea, the US and China, particularly on North Korean issues. I also suggest the new pattern of economic cooperation be sought, considering the changing economic environment in China, while strengthening the efforts to understand each other through more interactions between the two peoples.

• Science of Emotion and Sensibility
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• v.15 no.4
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• pp.585-592
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• 2012

Food is crucial for the nutrition and survival of humans. Taste system is one of the fundamental senses. Taste cells detect and respond to five basic taste modalities (sweet, bitter, salty, sour, and umami). However, the cortical processing of taste sensation is much less understood. Recently, there were many efforts to observe the brain activation in response to taste stimulation using functional magnetic resonance imaging (fMRI), magnetoencephalography (MEG), and optical imaging. These different techniques do not provide directly comparable data each other, but the complementary investigations with those techniques allowed the description and understanding of the sequence of events with the dynamics of the spatiotemporal pattern of activation in the brain in response to taste stimulation. The purpose of this study is the understanding of the brain activities to taste stimuli in sensory and affective aspects and the reviewing of the recent research of the gustotopic map by functional brain mapping.

• Asian-Australasian Journal of Animal Sciences
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• v.22 no.8
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• pp.1091-1101
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• 2009

In an attempt to understand the biochemical mechanism for the synthesis of the anabolic steroid, 19-nortestosterone, produced by prepubertal boar testes and its physiological role, normalized complementary DNA (cDNA) from boar testes was generated. DNA sequencing of 2,016 randomly selected clones yielded 794,116 base pairs of high quality nucleotide sequence. Computer-assisted assembly of the nucleotide sequence of each clone resulted in 423 contigs and 403 singletons including several genes for steroidogenic enzymes and molecules related to steroid metabolism. Analysis of gene expression pattern by use of the presently-fabricated cDNA microarray identified a number of genes that were differentially expressed during the postnatal development period in boar testes. Two genes of unknown function were identified to be highly expressed in the testis of 2-weeks-old neonatal boar. In addition, the sequencing of open reading frames of these genes revealed their homology with human alpha hemoglobin and Homo sapiens hypothetical LOC643669, transcript variant 1. Moreover, the transcripts of these genes were also detected in porcine muscle and adipocytes, in addition to Leydig cells of pigs.

• 한국HCI학회:학술대회논문집
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• 2007.02a
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• pp.643-648
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• 2007

유비쿼터스 컴퓨팅 기술이 문화예술 분야에 접목되면서 수동적이었던 전시 관람 형태가 능동적인 관람 형태로 바뀌고 있다. 특히, 지능형 가이드 시스템의 등장은 기존의 관람 문화를 크게 변화시켰다. 지능형 가이드 시스템이란 사용자에게 전시물에 대한 정보 및 전시장의 위치 정보를 제공해주는 시스템을 말한다. 현재 상용화되고 있는 지능형 가이드 시스템은 크게 휴대폰, PDA, 게임기 등의 휴대형 장치 기반의 가이드 시스템과 HMD와 같은 착용형 장치 기반의 가이드 시스템으로 나뉠 수 있다. 본 논문에서는 이러한 현재 상용화된 시스템들의 한계(예를 들어, 특정 장치를 직접 착용 혹은 소지해야 함)를 서술하고, 이를 보완하는 프로젝터 기반의 가이드 시스템에서 더 나아가 임의의 공간에 원하는 전시물 구성, 설치 등을 신속, 정확하게 수행하는 지능형 가이드 시스템을 제안한다. 프로젝터 기반의 지능형 가이드 시스템은 기반 기술로 지능형 프로젝션 기술을 필요로 하는데, 이는 임의의 환경에서 임의의 위치에 다수의 사용자에게 고화질, 대화면 영상 정보를 제공해 준다. 그러나, 기존의 지능형 프로젝션 기술은 성능 및 안정성을 위해 대부분 가시적인 패턴 및 마커를 사용하는데, 이는 사용자에게 제공되는 정보를 관찰하는 데 방해가 될 수 있다. 본 논문에서는 사용자의 관점에서 유용한 비간섭 지능형 프로젝션 기술을 사용한다. 즉, 본 논문에서는 마커나 패턴을 사용함으로써 정확성이나 안정성은 보장하지만, 마커나 패턴을 은닉하여 사용자의 눈에 띄지 않도록 함으로써, 사용자는 원하는 정보를 아무런 방해 없이 제공받을 수 있다. 제안된 시스템을 미술 작품 감상을 위한 가이드 시스템으로 적용해 본 결과, 사용자는 자유로운 환경에서 자신의 위치나 작품에 대한 설명을 대화면으로 제공받으면서, 편안하게 그림을 감상할 수 있었다.

• Journal of IKEEE
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• v.23 no.4
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• pp.1257-1264
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• 2019

A 3-GSymbol/s/lane transceiver, which supports the mobile industry processor interface (MIPI) C-physical layer (PHY) specification version 1.1, is proposed. It performs channel mismatch correction to improve the signal integrity that is deteriorated by using three-level signals over three channels. The proposed channel mismatch correction is performed by detecting channel mismatches in the receiver and adjusting the delay times of the transmission data in the transmitter according to the detection result. The channel mismatch detection in the receiver is performed by comparing the phases of the received signals with respect to the pre-determined data pattern transmitted from the transmitter. The proposed MIPI C-PHY receiver is designed using a 65 nm complementary metal-oxide-semiconductor (CMOS) process with 1.2 V supply voltage. The area and power consumption of each transceiver lane are 0.136 ㎟ and 17.4 mW/GSymbol/s, respectively. The proposed channel mismatch correction reduces the time jitter of 88.6 ps caused by the channel mismatch to 34.9 ps.

• The Journal of the Acoustical Society of Korea
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• v.23 no.8
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• pp.570-575
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• 2004

In the underwater acoustic systems. we can receive signals and retrieve information about a target by using a beamforming method. The most important thing in the beamforming is finding the way to optimize the mainlobe beamwidth and the sidelobe level to the desired value. One of the prominent results of beamforming method. which has been studied. is Philip's weighting function method(1) . Philip's method adaptively adjusts its weights of array to meet the desired mainlobe beamwidth and sidelobe level. It is very similar to the design method in adaptive filter. However. this method cannot easily bring us to the desired sidelobe level due to complementary relation between mainlobe beamwidth and sidelobe level. In this paper, we propose a new algorithm using partial constrained adaptation. This method makes us circumvent the above problem and meet the specification of design easily. The proposed algorithm presents a Pattern synthesis that designer can easily control the mainlobe beamwidth and the sidelobe level to the desired value while calculation time to converge is decreasing.

• KIPS Transactions on Software and Data Engineering
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• v.4 no.7
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• pp.297-300
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• 2015

In medical ultrasonography, transit time and contrast enhancement patterns are considered as important parameters to analyze liver diseases. In many recent researches, time-intensity curves(TIC) have been used for calculating the transit time of the contrast agents. However, the intensity curve may include the variations which are caused by the micro-bubble effect of contrast agents. In this paper, we propose a complementary approach to diagnostic parameter extraction which utilizes a density information as well as the intensity data. The proposed technique improves the accuracy in extraction of the transit time and velocity of contrast agents for detection and characterization of focal liver lesions. Through the experiments using a set of clinical data, we show that the proposed methods can improve the reliability of the parametric image data.

• Proceedings of the Technology Innovation Conference
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• 2004.02a
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• pp.288-315
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• 2004

This paper has examined the leapfrogging thesis with the case of catch-up in digital TV by the Korean firms. Despite the disadvantages implied by the technological regime of digital TV and the risks facing early entrants in trajectory choice and initial market formation, the Korean firms had achieved a 'path-creating catch-up' in the sense they chose a different path from the Japanese forerunning firms. As they have been closely watching the technological trends and the standard setting process, there was less risk of choosing the right or wrong technological trajectory. Also, despite the lack of sufficient capability and core knowledge base, the Korean firms had some complementary asset, such as the experience of producing analogue TV, and were able to develop the prototype digital TV and the ASIC chips, given the accesses to the foreign knowledge via overseas R&D posts and acquisition of a foreign company. To secure the initial market size, the Korean targeted the US market from the beginning, and their sources for competitive advantages were the speedy setting up the production system for mass production of products at the initial stage. The initial failure of the Japanese firms and the success of the Korean firms do suggest that the period of paradigm shift, like this toward digital technology, can serve as a window of opportunity for late-comers while penalizing the forerunner.

• Journal of Korea Game Society
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• v.11 no.2
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• pp.57-68
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• 2011

This study approaches how newly emerged game companies has implemented strategies for product diversification according to market growth cycle(beginninggrowing-mature) by empirical case study through evolutionary theory and resource based theory approach. At the beginning, online game companies had grown with different strategies(technology based, service based) by initial condition(genre, technological level, user attribute). After market growth, for product diversification, these companies carried out path-dependent alliance strategy(complementary, competitive) depending on resource base(technology capacity, service capacity based). As online game market getting mature, these companies has adapted flexibly in responding to market growth cycle by integrated strategy(naturally selected to mobilize every possible resource capability). By analyzing the alliance strategies pattern of online game companies in newly emerged game industry according to market growth cycle through combination of resource based theory and evolutionary theory, these results suggest that new industrial, theoretical, policy model is required.

• Journal of Biomedical Engineering Research
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• v.41 no.1
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• pp.48-54
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• 2020

In this paper, we deal with a liver fibrosis classification problem using ultrasound B-mode images. Commonly representative methods for classifying the stages of liver fibrosis include liver biopsy and diagnosis based on ultrasound images. The overall liver shape and the smoothness and roughness of speckle pattern represented in ultrasound images are used for determining the fibrosis stages. Although the ultrasound image based classification is used frequently as an alternative or complementary method of the invasive biopsy, it also has the limitations that liver fibrosis stage decision depends on the image quality and the doctor's experience. With the rapid development of deep learning algorithms, several studies using deep learning methods have been carried out for automated liver fibrosis classification and showed superior performance of high accuracy. The performance of those deep learning methods depends closely on the amount of datasets. We propose an enhanced U-net architecture to maximize the classification accuracy with limited small amount of image datasets. U-net is well known as a neural network for fast and precise segmentation of medical images. We design it newly for the purpose of classifying liver fibrosis stages. In order to assess the performance of the proposed architecture, numerical experiments are conducted on a total of 118 ultrasound B-mode images acquired from 78 patients with liver fibrosis symptoms of F0~F4 stages. The experimental results support that the performance of the proposed architecture is much better compared to the transfer learning using the pre-trained model of VGGNet.