• Journal of the Korea Institute of Information and Communication Engineering
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• v.18 no.10
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• pp.2562-2570
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• 2014

One of the important hints for inferring the function of unknown proteins is the knowledge about protein subcellular localization. Recently, there are considerable researches on the prediction of subcellular localization of proteins which simultaneously exist at multiple subcellular localization. In this paper, label power-set classification is improved for the accurate prediction of multiple subcellular localization. The predicted multi-labels from the label power-set classifier are combined with their prediction probability to give the final result. To find the accurate probability estimates of multi-classes, this paper employs pair-wise comparison and error-correcting output codes frameworks. Prediction experiments on protein subcellular localization show significant performance improvement.

• Proceedings of the Korean Information Science Society Conference
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• 1998.10a
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• pp.386-388
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• 1998

Multiprotocol Label Switching(MPLS)는 기존 인터넷 라우팅에서 사용하는 longest prefix match 방식 대신에 short label exact match 방식을 사용함으로써 더 단순한 고속 포워딩 기술을 제공한다. 또한, 동일한 Forwarding Equivalence Class(FEC)에속하는 플로우들을 합성하여 하나의 레이블을 사용하는 방법 즉, Multipoint-to-point Tree(MPT)를 형성함으로써 확장설을 향상시켰다. 본 논문에선 현재 이슈가 괴고 있는 "IP address prefix"와 "host LSP"의 FEC타입과는 전송방식이 다른 브로드캐스팅을 위한"broadcast"FEC 타입을 제안하였으며, 브로드캐스트 패킷을 전송하는데 있어서 각각의Label Switched Path(LSP)제어 방식을 사용할 경우의 문제점을 분석하고, 유니캐스팅과 브로드캐스팅의 서로 다른 레이블 할당방식으로 인한 레이블 충돌을 해결하기 위해서 레이블 범위를 분류하여 사용하는 방식을 제안한다.해서 레이블 범위를 분류하여 사용하는 방식을 제안한다.

• Proceedings of the IEEK Conference
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• 2002.07c
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• pp.1851-1854
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• 2002

The Internet with conventional routing scheme cannot meet user demands driven from drastic growth in the Internet user and various service and traffic type. MPLS(Multi Protocol Label Switching) was introduced to the Internet fur solution to resolve this problem. MPLS is a paradigm to integrate higher layer’s software routing functions including layer-3 routing with layer-2 switching. But, the exponential growth of Internet traffic brings out of label space. One scalable solution to cope with this problem is to introduce flow merge technique, i. e. a group of flows is forwarded using the same label. Specially, IETF(Internet Engineering Task Force) recommends that ATM based MPLS system may include VC merge function, so it is scalable to increase of internet traffic. We implemented the MPLS LER system that includes the look-up and forwarding function in incoming path and VC merging function and limited traffic management function in outgoing path. This paper describes the implementation of the LER’s outgoing parts.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.26 no.6A
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• pp.1060-1066
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• 2001

레이어2 스위칭과 레이어3 라우팅의 통합 모델로써 MPLS(Multi-Protocol Label Switching) 환경에서 ATM LSR(Label-Switching Routers)은 백본망에서의 고속 전송이 가능하여 현재의 라우터 구조로써 제안되어지고 있다. MPLS가 코어 라이터로써 적용이 될 경우 확장성을 위해 label merging이라는 기술이 필요하다. VC(Virtual Circuit) merging은 ATM LSR에서 많은 IP 라우터를 하나의 라벨로 매핑을 시키며 수천 개의 목적지에 전송할 수 있는 확장성 있는 매핑 기술이다. VC merging은 같은 목적지인 다른 패킷들 간의 셀들의 섞임을 방지하기 위해 재 조합 버퍼가 요구된다. 재 조합 버퍼 사용시 일시적인 체증 현상이 발생하며 Non-VC merging과 비교시 많은 셀 손실과 많은 버퍼를 요구하게 된다. 본 논문에서는 RED(Random Early Detection) 알고리즘을 적용하여 VC merging이 필요한 버퍼의 요구량과 셀 손실을 줄였다.

• Journal of the Korea Society of Computer and Information
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• v.6 no.4
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• pp.68-73
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• 2001

MPLS(Multi protocol Label Switching) is standard skill for added to speed and control the Network Traffic. MPLS concerned the routing protocol to relative Pack line, Each Pack composed label and node, saved the time to seek the address of node. MPLS worked IP, ATM and Network protocol of flame rely. MPLS is Network OSI suport model, 2Layer send to most of Packinsted of 3Layer Switching. MPLS is added speed Traffic of QoS and effective controled the Network.

• Proceedings of the Korean Society of Computer Information Conference
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• 2022.07a
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• pp.29-30
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• 2022

Curriculum learning은 딥러닝의 성능을 향상시키기 위해 사람의 학습 과정과 유사하게 일종의 'curriculum'을 도입해 모델을 학습시키는 방법이다. 대부분의 연구는 학습 데이터 중 개별 샘플의 난이도를 기반으로 점진적으로 모델을 학습시키는 방안에 중점을 두고 있다. 그러나, coarse-to-fine 메카니즘은 데이터의 난이도보다 학습에 사용되는 class의 유사도가 더욱 중요하다고 주장하며, 여러 난이도의 auxiliary task를 차례로 학습하는 방법을 제안했다. 그러나, 이 방법은 혼동행렬 기반으로 class의 유사성을 판단해 auxiliary task를 생성함으로 다중 레이블 분류에는 적용하기 어렵다는 한계점이 있다. 따라서, 본 논문에서는 multi-label 환경에서 multi-class와 binary task를 생성하는 방법을 제안해 coarse-to-fine 메카니즘 적용을 위한 방안을 제시하고, 그 결과를 분석한다.

• The Journal of Asian Finance, Economics and Business
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• v.9 no.4
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• pp.409-417
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• 2022

This research uses a panel data set of selected developed and emerging economies to investigate the relationship between firm value and the Islamic label. A low-debt company is a proxy for excellent governance, and good governance has a significant positive impact on a company's valuation. We can claim that the Islamic label may also be a proxy for excellent governance and will significantly impact a company's economic value because it reflects low debt Sharia-compliant companies. To explore this relationship, cross-country data from non-financial enterprises in Pakistan, the United States, Malaysia, and Indonesia was acquired from 2010 to 2015. The study's findings indicate that the Islamic label has a positive significant impact on the firm's worth in the whole sample, including all countries. With the exception of the United States, we have also collected the same information at the country level. We also discovered that the corporate governance index at the firm level has a positive significant impact on firm value. The findings show that the Islamic label reflects good governance and hence can be used as a proxy for good governance. The analysis differentiates between Islamic labeled and conventional enterprises in developed and emerging nations, adding to our understanding of who contributes to enhanced corporate financial performance.

• Journal of Korean Society of Transportation
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• v.22 no.4 s.75
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• pp.85-96
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• 2004

Given a Path represented by a sequence of link numbers in a transportation network, the reasonable path is defined as a path that any link is appeared multiple times in it. Application of the link labelmethod(LLM) to the shortest path algorithms(SPA) enables to model the reasonable path choice behavior in urban networks. This study aims at expanding the LLM to a Kth shortest path algorithms(KPSA), which adopts the node label setting method. The small-scaled network test demonstrated that the proposed algorithm works correctly and the revised Sioux fall network test showed that the path choice behaviors are reasonably reflected. In the large-scaled network based on the South Korea peninsula, drivers' route diversion perceptions are included as cost terms in total cost. The algorithm may be applied as an alternative route information tools for the deployment of ATIS.

• The Journal of the Korea institute of electronic communication sciences
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• v.15 no.4
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• pp.709-716
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• 2020

In social media, when posting a post, tag information of an image is generally used because the search is mainly performed using a tag. Users want to expose the post to many people by attaching the tag to the post. Also, the user has trouble posting the tag to be tagged along with the post, and posts that have not been tagged are also posted. In this paper, we propose a method to find an image similar to the input image, extract the label attached to the image, find the posts on instagram, where the label exists as a tag, and recommend other tags in the post. In the proposed method, the label is extracted from the image through the model of the convolutional neural network (CNN) deep learning technique, and the instagram is crawled with the extracted label to sort and recommended tags other than the label. We can see that it is easy to post an image using the recommended tag, increase the exposure of the search, and derive high accuracy due to fewer search errors.

• Journal of Korea Trade
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• v.26 no.5
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• pp.106-124
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• 2022

Purpose - The increasing share of Korean private label products (PLPs) in the domestic market helped generate lucrative revenue. In recent years, major South Korean retailers have begun to cast their sights on overseas markets and actively export their PLPs. In China, the proportion of private label fresh food (PLFF) is gradually expanding amid the development of the new retailing model. A profound understanding of the relationship between private label fresh produce and purchase intention may be the answer to helping Chinese retailer private labels expand supply chains in Korea. This study, taking Chinese retailers as an example, examines the impacts of selection factors of private label fresh food and perceived value on purchase intention. Apart from that, the relationship between the selection factors and purchase intention will be analyzed with perceived value as a mediator. Design/methodology - This work aims to empirically analyze the purchase intention of private label fresh food using statistical analysis. In this study, a hypothetical causal model consisting of 6 latent variables and 24 measured variables is developed based on the literature review. To validate the research hypotheses and the research model, SPSS23.0/AMOS23.0 is used to analyze factors such as validity and reliability, as well as structural equation modeling. Findings - The hypothetical model established in this study is of general applicability. In respect to PLFF, perceived value, while significantly influencing purchase intention in combination with four selection factors (perceived quality, perceived price, brand trust, and store image), mediates partially between the first three factors and purchase intention, which rules out the impact and mediating effect of store image on purchase intention. Originality/value - These research results, as helpful insights into the present circumstances of Chinese PLFF in the domestic market, provide useful information and guidance for Korean retailers and service providers to innovate production and service, as well as develop marketing and promotion strategies, so that they can shift private label goods with advantages from domestic demand to export, thus increasing overseas profitability. Further, this work will also contribute to relevant research.