• East Asian Economic Review
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• 제23권3호
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• pp.285-309
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• 2019

Unlike the popular belief, digital transformation mainly gets stymied by legal and regulatory issues related with legacy institutions in Asia rather than technical difficulties. The real challenges triggered by the PSD2 (Payment Services Directive 2) are how the region would overcome the overly fragmented, centralized, and hierarchical legacy framework to allow necessary changes to respond to the digital single market initiatives as promulgated by the European counterpart. The PSD2 is expected to bring about substantial changes in the payment ecosystem by allowing payment service providers to access customers' accounts and transactions information via API that have been traditionally controlled by banks. This paper suggests an incentive-compatible mechanism design for open collaboration among legacy institutions in the region to help them adapt to the PSD2. As evidenced by case studies in Korea, the Asian equivalent of PSD2 can be implemented and further expanded to create region-wide PCS (payment-clearing-settlement) network by reconnecting the dots of legacy infrastructures. These decentralized, diverse, small payment networks can be further combined with the expanded RTGS-CDS platform to evolve into the next phase of Asian Financial Network.

• 한국멀티미디어학회논문지
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• 제25권2호
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• pp.247-256
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• 2022

Visual tracking of selected target objects is fundamental challenging problems in computer vision. Object tracking localize the region of target object with bounding box in the video. We propose a Siam-FPN based custom fully CNN to solve visual tracking problems by regressing the target area in an end-to-end manner. A method of preserving the feature information flow using a feature map connection structure was applied. In this way, information is preserved and emphasized across the network. To regress object region and to classify object, the region proposal network was connected with the Siamese network. The performance of the tracking algorithm was evaluated using the OTB-100 dataset. Success Plot and Precision Plot were used as evaluation matrix. As a result of the experiment, 0.621 in Success Plot and 0.838 in Precision Plot were achieved.

• 대한의용생체공학회:의공학회지
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• 제22권3호
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• pp.231-239
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• 2001

This paper proposes a region segmenting method for the Pap-smear image. The proposed method uses a pixel classifier based on neural network, which consists of four stages : preprocessing, feature extraction, region segmentation and postprocessing. In the preprocessing stage, brightness value is normalized by histogram stretching. In the feature extraction stage, total 36 features are extracted from $3{\times}3$ or $5{\times}5$ window. In the region segmentation stage, each pixel which is associated with 36 features, is classified into 3 groups : nucleus, cytoplasm and background. The backpropagation network is used for classification. In the postprocessing stage, the pixel, which have been rejected by the above classifier, are re-classified by the relaxation algorithm. It has been shown experimentally that the proposed method finds the nucleus region accurately and it can find the cytoplasm region too.

• 디지털산업정보학회논문지
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• 제12권3호
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• pp.75-85
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• 2016

MANET is a network composed only mobile network having limited resources and has dynamic topology characteristics. Therefore, every mobile node acts as a route and delivers data by using multi-hop method. In particular, group communication such as multicast is desperately needed because of characteristics such as battery life of limited wireless bandwidth and mobile nodes. However, the multicast technique can have different efficient of data transmission according to configuring method of a virtual topology by the movement of the nodes and the performance of a multicast can be significantly degraded. In this paper, the region based security multicast technique is proposed in order to increase the efficiency of data transmission by maintaining an optimal path and enhance the security features in data transmission. The group management node that manages the state information of the member nodes after the whole network is separated to area for efficient management of multicast member nodes is used. Member node encrypts using member key for secure data transmission and the security features are strengthened by sending the data after encrypted using group key in group management node. The superiority of the proposed technique in this paper was confirmed through experiments.

• 농촌계획
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• 제23권2호
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• pp.43-54
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• 2017

When an age of low growth and population decline, population migration plays an important role in spatial structure of region. There have been many researches on migration and regional spatial structure. The purpose of this study is to examine the changes of Gwangju and Jeonnam region's spatial structure and central area using social network analysis methods. For analysis it was used that population and migration data and passenger OD(Origin and Destination) travel data released by Statistics Korea and Korea Transport Database(KTDB). Using Gephi 0.8.2, migration and passenger OD networks were visualized, and this describe network flow and density. The results of the network centrality analysis show that the most populated village is not always network center though population mass is an important factor of central places. The average eigenvector centrality of 2010 migration is the lowest during 2005-2015, and it means few regions have high centralities. When comparing migration and travel networks, travel data is more effective than migration data in determining the central location considering spatial functions.

• 대한전기학회:학술대회논문집
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• 대한전기학회 1992년도 하계학술대회 논문집 A
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• pp.476-479
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• 1992

This paper presents a neural network method for tuning PlD controller of a time-varying process. Three gains of PlD controller are tuned for a certain desirable response pattern by back-propagation neural network. The neural network is trained using changes of output features vs. changes of PlD gains. But sometimes it needs longer training time and larger structure to train the correlation between the process and controller on entire region of the process. The difficulty in system identification is that the inverse function of the system can not be clearly stated. To cope with the problem, we do not train the neural network to respond correctly for the entire regions but train for only local region where the system is heading toward by training the neural network and tuning of the PlD controller. It may be trained for fine-tuning itself. Simulation results show that the adaptive PID controller using neural network trained in the local area performs remarkably for time-varying second order process.

• International Journal of Precision Engineering and Manufacturing
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• 제7권2호
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• pp.18-24
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• 2006

This paper proposes a LuGre Model-Based Neural Network (MBNN) friction compensation algorithm for a linear motor stage. For matching the friction phenomena in both the motion-start region and the motion-reverse region, the LuGre dynamic model is employed into the proposed compensation algorithm. After training of the model-based neural network is completed, the estimated friction for compensation is obtained. From the obtained result we find that the new structure gains advantage over the non-friction compensation system on the performance of the compensator in both regions. The proposed compensator is evaluated and compared experimentally with an uncompensated system on a microcomputer controlled linear motor tracking system in the final section of the paper. The experimental results show the improvement on the maximum velocity error and the root mean square tracking error in the motion-start region ranges from 34% to 53% and from 53% to 75% respectively, and in the motion-reverse region from 48% to 65% and from 79% to 90% respectively.

• 공학교육연구
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• 제18권1호
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• pp.47-53
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• 2015

이 논문의 목적은 메가 시티 서울의 기술상용화 네트워크 도시 형성의 가능성을 고찰하는 데 있다. 1960년대 이후 우리나라는 국가적 차원에서 볼 때, 급속한 경제 성장을 경험하고 있지만, 지역적 차원에서 살펴보면, 서울을 포함한 수도권과 비수도권 간 심각한 지역불균등 발전을 경험하고 있다. 필자는 이와 같은 지역불균등 발전의 해결 방안으로 서울을 중심으로 기술상용화 네트워크 도시 형성의 필요성을 제시하고자 한다. 기술상용화 네트워크 도시는 남북도시협력 축(통일 R&BD 지향-복합기술 R&BD 축), 메가 시티 확장 축(녹색 수출 R&BD 지향-녹색 수출 R&BD 확장 축), 중소도시 연계 축(평창 올림픽 R&BD 지향-생명기술 R&BD축), 메갈로 폴리스 축(R&D-R&BD 연계 협력 지향-기초기술 R&BD 축) 등 4가지 축으로 이루어진다.

• 대한지리학회지
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• 제43권4호
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• pp.526-543
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• 2008

본 연구는 고령친화산업의 제조부문과 관련된 행위주체 네트워크를 사회 네트워크 분석 방법을 이용하여 구조적, 공간적 특성을 분석한 것이다. 기존의 경제지리학 연구들이 네트워크 거버넌스 측면에 강조를 둔 것에 비해 본 연구는 네트워크 구조 분석에 초점을 두었다. 행위주체를 기업과 조직으로 나누어 네트워크 매트릭스 자료를 구축하고, 중심성 지수를 이용하여 네트워크의 위상구조적 특성을 분석하였다. 또한 공간구조적 분석을 위해서 행위주체의 지역별 비율을 비교하고, 중심성 지수와 거리 지표들의 상관관계를 분석하였다. 블록모델링을 이용하여 행위주체간 네트워크를 지역간 네트워크로 변환하여 공간적 분석을 실시하였다. 분석 결과, 초기 제도구축 과정에 있는 고령친화산업은 정부의 산업진흥 정책으로 비수도권 지역에 위치한 조직들이 네트워크에서의 영향력이 높게 나타났으며, 비수도권 간의 네트워크 역시 활발한 것으로 나타났다.

• 한국경제지리학회지
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• 제5권1호
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• pp.25-48
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• 2002

$\ulcorner$중원문화권$\urcorner$의 문화산업의 지역적 변화와 위상정립을 특산품과 지역축제, 문화산업을 대상으로 고찰한 결과 다음과 같은 점이 밝혀졌다. $\ulcorner$중원문화권$\urcorner$은 고구려, 백제, 신라 삼국의 접경지역으로서 독자적인 문화의 창조가 아직 이루어지지 않아 현대적인 의미에서 세 나라의 문화와 역사가 바탕이 된 문화상품을 개발하여야 할 것이다. 21세기 $\ulcorner$중원문화권$\urcorner$의 문화산업은 북한의 주요 문화가 고구려 문화에 바탕을 둔 점에서 볼 때 $\ulcorner$중원문화권$\urcorner$은 고구려 문화와의 연결지로서의 역할을 할 수 있다는 점을 강조하여야 한다고 생각한다. 장소 마케팅인 $\ulcorner$중원문화권$\urcorner$의 지역축제는 봄.가을에 집중되어 지역간에 네트워크를 형성하여 팩키지형 축제로 나아가도록 유도하여야 할 것이다. $\ulcorner$중원문화권$\urcorner$은 삼국이 접했던 지역으로 21세기에는 이 지역이 평화의 장소로 극대화 될 수 있는 곳이고 접근성이 높다는 이점을 살려 각종 문화산업을 유치하고, 또 지식.정보사회의 발달로 좁은 의미의 문화산업단지를 청주시를 중심으로 지역 네트워크화 하여 육성시켜야 할 것이다.