• Asia Marketing Journal
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• 제21권2호
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• pp.51-71
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• 2019

L&P Cosmetic, the leading company selling mask packs on the global market, produces MEDIHEAL, the number-one best-selling mask pack brand in Korea and the best-selling imported mask pack brand in China (2017). The company pioneered the premium market for mask packs through its launch of premium mask packs in 2009, and has subsequently achieved outstanding success in Korea and China. Three key factors have contributed to the success of L&P Cosmetic: product leadership with R&D capability, strategic marketing programs tailored for each market segment, and operational excellence focusing on strategic outsourcing and partnership management. Nonetheless, globalization beyond the Chinese market remains a major challenge for the potential of L&P Cosmetic. The company has embarked upon a collaboration with BTS, the world's top K-pop stars, as an optimally effective way to achieve its goals and a highly efficient strategy to manage the risks of globalization. The global branding collaboration project with BTS has succeeded in generating primary demand for mask packs on the global market, spreading brand awareness of MEDIHEAL, and establishing global channel networks. L&P Cosmetic will continue to grow worldwide on the basis of this outstanding performance.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제9권2호
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• pp.637-658
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• 2015

The development of multimedia applications has followed the development of high-speed networks. By improving the performance of mobile devices, it is possible to provide high-transfer-speed broadband and seamless mobile multicasting services between indoor and outdoor environments. Multicasting services support efficient group communications. However, mobile multicasting services have two constraints: tunnel convergence and handoff latency. In order to solve these problems, many protocols and handoff methods have been studied. In this paper, we propose inter local mobility anchor (inter-LMA) optimized handoff model for mobile multicasting services in proxy mobility IPv6 based (PMIPv6-based) networks. The proposed model removes the tunnel convergence issue and reduces the router processing costs. Further, it the proposed model allows for the execution of fast handoff operations with adaptive transmission mechanisms. In addition, the proposed scheme exhibits low packet delivery costs and handoff latency in comparison with existing schemes and ensures fast handoff when moving the inter-LMA domain.

• 한국전자통신학회논문지
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• 제11권9호
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• pp.861-868
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• 2016

센서 네트워크에서 광역 도청에 대응하여 기지국이나 근원지들의 위치 기밀을 유지하기 위해서는 일반적으로 더미 메시지들을 발행해야한다. 이 논문에서는 기지국과 근원지들 간에 통신 경로를 확보하는 한편, 요구되는 기밀 수준을 고려하여 일정 수의 노드들을 아무런 활동도 하지 않는 휴면 상태로 전환하도록 하여 전체 더미 메시지들의 발생을 줄이는 방법을 제안한다. 시뮬레이션을 통해 기지국과 근원지들 간의 경로 설정 성공률과 그들의 위치 기밀 수준을 검증한다.

• 한국정보통신학회:학술대회논문집
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• 한국해양정보통신학회 2008년도 추계종합학술대회 B
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• pp.365-368
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• 2008

This paper presents a new concept of IP-based wireless sensor networks and also introduces a routing protocol that is based on clustering for global healthcare information system. Low-power wireless personal area networks (LoWPANs) conform the standard by IEEE 802.15.4-2003 to IPv6 that makes 6lowpan. It characterized by low bit rate, low power, and low cost as well as protocol for wireless connections. The 6lowpan node with biomedical sensor devices fixed on the patient body area network that should be connected to the gateway in personal area network. Each 6lowpan nodes have IP-addresses that would be directly connected to the internet. With the help of IP-address service provider can recognize or analysis patient biomedical data from anywhere on globe by internet service provider equipments such as cell phone, PDA, note book. The system has been evaluated by technical verification, clinical test, user survey and current status of patient. We used NS-2.33 simulator for our prototype and also simulate the routing protocols. The result shows the performance of biomedical data packets in multi-hope routing as well as represents the topology of the networks.

• 한국통신학회논문지
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• 제38C권7호
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• pp.605-611
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• 2013

본 논문은 차량이 사고가 발생하였을 때, 사고 차량이 가까이에 있는 주위 차량에 긴급메시지를 전파하여, 다른 차량의 운전자들이 사고지점을 인지하고 회피할 수 있도록 효과적이고 빠른 브로드캐스트 기법에 관하여 기술하였다. 본 논문에서는 GPS(Global Position System)가 장착된 도심환경의 차량 네트워크에서 긴급 메시지를 빠르게 전파하는 방법을 제안한다. 전송 차량은 연속적이고 효과적인 메시지 전파를 위해 가장 멀리 있는 차량을 다음 릴레이 차량으로 미리 선정하고 전파를 하는 기법을 제안한다. 그리고 RSU(Road Side Unit)의 도움 없이 교차로를 인식할 수 있는 알고리즘을 제안하며, 끊어진 네트워크 상황에 대처하기 위해 헬로 메시지를 이용한 SCF(Store-Carry-Forward) 기법을 제안한다.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제6권1호
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• pp.341-360
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• 2012

The network topology for a wide area sensor network has to support connectivity and a prolonged lifetime for the many applications used within it. The concepts of structure and group in sociology are similar to the concept of cluster in wireless sensor networks. The clustering method is one of the preferred ways to produce a topology for reduced electrical energy consumption. We herein propose a cluster topology method based on sociological structures and concepts. The proposed sociological clustering topology (SOCT) is a method that forms a network in two phases. The first phase, which from a sociological perspective is similar to forming a state within a nation, involves using nodes with large transmission capacity to set up the global area for the cluster. The second phase, which is similar to forming a city inside the state, involves using nodes with small transmission capacity to create regional clusters inside the global cluster to provide connectivity within the network. The experimental results show that the proposed method outperforms other methods in terms of energy efficiency and network lifetime.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제15권9호
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• pp.3204-3220
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• 2021

We perform the task of video object segmentation by incorporating a conditional random field (CRF) and convolutional neural networks (CNNs). Most methods employ a CRF to refine a coarse output from fully convolutional networks. Others treat the inference process of the CRF as a recurrent neural network and then combine CNNs and the CRF into an end-to-end model for video object segmentation. In contrast to these methods, we propose a novel higher-order CRF model to solve the problem of video object segmentation. Specifically, we use CNNs to establish a higher-order dependence among pixels, and this dependence can provide critical global information for a segmentation model to enhance the global consistency of segmentation. In general, the optimization of the higher-order energy is extremely difficult. To make the problem tractable, we decompose the higher-order energy into two parts by utilizing auxiliary variables and then solve it by using an iterative process. We conduct quantitative and qualitative analyses on multiple datasets, and the proposed method achieves competitive results.

• 한국전자통신학회논문지
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• 제18권2호
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• pp.349-354
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• 2023

최근 인테리어에 관심을 가지는 인구가 증가함에 따라 세계적으로 인테리어 시장이 크게 성장하고 있으며, 글로벌 인테리어 업체들은 다양한 인테리어 요소에 대한 시뮬레이션 서비스를 개발하여 제공하고 있다. 벽지의 디자인은 가장 중요한 인테리어 요소임에도 불구하고, 기존 벽지 디자인 시뮬레이션 서비스들은 예상되는 결과물과 실제 결과물 간 차이, 긴 시뮬레이션 작업시간, 전문적인 기술의 필요 등의 단점으로 인해 사용에 어려움이 있다. 본 논문에서는 벽지 인테리어 시뮬레이션을 위한 Cycle GAN(: Generative Adversarial Networks) 기반의 벽지 이미지 변환 기법을 제안한다. 제안하는 기법은 다양한 모양의 벽지가 사용된 인테리어 이미지 데이터를 기반으로 모델을 학습하여, 사용자에게 짧은 시간 내에 벽지 인테리어 시뮬레이션을 제공할 수 있다.

• 지역연구
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• 제15권2호
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• pp.5-19
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• 1999

This paper identifies five factors that limited urban network formation in Northeast Asia over the past half millennium, questions the extent to which they are being overcome in the 1990s, and sketches a network of cities that could boost regionalism. It briefly traces the historical evolution of these factors, including comparisons with European integration, while focusing primarily on the policies of the 1990s that have affected their continuing role. First is the factor of closed national markets with weak regional integration. Second is the preeminence of administrative means of integration over commercial ones. Third is the character of localism, shackled by overcentralization and weak cross-border linkages. Fourth is the limited nature of internationalism, dominated by state catch-up policies with one-sided global involvement. Fifth is a lack of regional consciousness. Just as national urban integration was essential for regional networks to form, without regional integration it is difficult to contemplate Northeast Asian cities taking their rightful place in a global urban network. After noting the failures of the 1990s, the paper points to the potential role as dragon's heads for sub-regional urban networks of potential front-line cities: Tumen, Sapporo, Irkutsk, and what I call the Amur triangle. Also of interest are how the capitals of Beijing, Moscow, Seoul, and Tokyo will adjust to a transformed urban network. After all, their current skepticism must be overcome with a program that links the benefits on all sides in order to build trust in regionalism. This requires internationalism and symbols of a balanced approach to each country's needs.

• 한국방송∙미디어공학회:학술대회논문집
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• 한국방송공학회 2005년도 학술대회
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• pp.191-194
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• 2005

본 논문에서는 방송 영상에서 조명효과와 크기변화 등에 강인한 얼굴패턴 검출기법을 제시한다. 제안된 얼굴검출 모델은 영상 전처리 과정과 얼굴패턴 검출 과정으로 이루어진다. 전처리 과정은 조명변화에 대한 보정기능과 다중필터에 의한 후보영역 선별기능으로 구분된다. 얼굴패턴 검출과정은 다단계의 특징지도 생성과정과 패턴분류 과정으로 이루어진다. 특징지도를 생성하기 위하여 가보(Gabor) 필터계층을 포함하는 CNN(Convolutional Neural Networks)모델을 도입하였다. 다양한 배경을 고려한 효과적인 학습을 위하여 본 논문에서는 억제성의 뉴런(Inhibitory neuron)을 포함하는 구조의 CNN모델을 적용한다. CNN으로부터 추출되는 특징집합은 최종 단계에서 WFMM(Weighted Fuzzy Min Max) 모델을 사용하여 분류된다. 이때 사용되는 특징집합의 크기는 분류기의 규모 및 계산량의 결정적인 역할을 준다. 이에 본 연구에서는 최종 분류 과정에 사용되는 특징의 수를 효과적으로 줄이기 위해 FMM모델을 사용하는 적응적인 특징 선별 기법을 제안한다. 또한 실제 영상을 통한 실험결과로부터 제안된 이론의 타당성을 고찰한다.