• Proceedings of the Korea Information Processing Society Conference
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• 2024.05a
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• pp.298-301
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• 2024

클라우드 환경에서 컨테이너 사용이 증가하면서 컨테이너 환경을 대상으로 하는 여러 보안 위협이 증가하고 있다. 대표적인 악성 컨테이너는 크립토재킹 컨테이너로, 인스턴스 소유자의 승인 없이 리소스를 탈취하여 암호화폐를 채굴하는 공격이다. 이러한 공격은 리소스 낭비를 초래할 뿐 아니라 자원을 공유하는 정상 컨테이너나 호스트 인프라에까지도 영향을 미칠 수 있다. 따라서 본 논문에서는 크립토재킹 컨테이너를 탐지하기 위한 앙상블 기반의 크립토재킹 컨테이너 탐지 프레임워크 설계를 제안한다. 또한, 앙상블 모델 학습을 위한 데이터 수집에 있어 크립토재킹 컨테이너의 동적 특징을 나타내는 시스템 콜 및 네트워크 플로우 기반의 특성 활용 가능성을 사례 연구를 통해 분석하였다.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.15 no.7
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• pp.4522-4527
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• 2014

Info-communication software contains various functions and services. A software test is the only acceptance test step. Recently, however, all development steps have become important. In particular, the software acceptance step is very high, and a study of the effective use of limited time and resources on acceptance step is needed. This study examined the efficiency of the Test Design Technique for Software Test. The proposed Test Design process was applied to the domain systems of info-communication and the degree of improvement was measured. This paper establishes Software Test design process Infrastructure based on the developed software.

• Journal of Internet Computing and Services
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• v.7 no.2
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• pp.1-8
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• 2006

Study of effective synthesis has been amplified in working-level image process corresponding to one of postproduction synthesis ares. However, it is very role to recognize the overall procedure of image composition and unprepared state on a research on variety and complexity for the specific composition method, it is necessary to materialize the overall pattern that can understand stream of image and standardization. In order to embody, it may be desirable that improve working efficiency of database by form called resources. In this paper, by providing the several values such as matte, key, motion, scale, position, or opacity characteristics, we directed th solving problems through the detailed examples while the user has the difficulty on image synthesis.

• Journal of Convergence for Information Technology
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• v.9 no.1
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• pp.92-98
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• 2019

Due to the development of hologram display technology, various studies are being conducted to provide realistic contents for augmented reality. In the case of the HMD for hologram, since augmented reality objects must be rendered by a small processor, it is necessary to use a low-capacity content. To solve this problem, there is a need for a technique of rendering resources by providing resources through a network. In the case of the existing augmented reality system, there is no problem of contents modulation because the resources are loaded and rendered in the internal storage space. However, when providing resources through the network, security problems such as content tampering and malicious code insertion should be considered. Therefore, in this paper, we propose a network rendering technique applying security techniques to provide augmented reality contents in a holographic HMD device.

• Proceedings of the Korean Society of Computer Information Conference
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• 2022.07a
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• pp.81-84
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• 2022

제조 산업에서의 이상치 검출은 생산품의 품질과 운영비용을 절감하기 위한 중요한 요소로 최근 딥러닝을 사용하여 자동화되고 있다. 이상치 검출을 위한 딥러닝 기법에는 CNN이 있으며, CNN을 계층적으로 구성할 경우 단일 CNN 모델에 비해 상대적으로 성능의 향상을 보일 수 있다는 것이 많은 선행 연구에서 나타났다. 이에 MVTec-AD 데이터셋을 이용하여 계층 CNN이 다중 클래스 이상치 판별 문제에 대해 효과적인지를 탐구하고자 하였다. 실험 결과 단일 CNN의 정확도는 0.7715, 계층 CNN의 정확도는 0.7838로 다중 클래스 이상치 판별 문제에 있어 계층 CNN 방식 접근이 다중 클래스 이상치 탐지 문제에서 알고리즘의 성능을 향상할 수 있음을 확인할 수 있었다. 계층 CNN은 모델과 파라미터의 개수와 리소스의 사용이 단일 CNN에 비하여 기하급수적으로 증가한다는 단점이 존재한다. 이에 계층 CNN의 장점을 유지하며 사용 리소스를 절약하고자 하였고 K-means, GMM, 계층적 클러스터링 알고리즘을 통해 제작한 새로운 클래스를 이용해 계층 CNN을 구성하여 각각 정확도 0.7930, 0.7891, 0.7936의 결과를 얻을 수 있었다. 이를 통해 Clustering 알고리즘을 사용하여 적절히 물체를 분류할 경우 물체에 따른 개별 상태 판단 모델을 제작하는 것과 비슷하거나 더 좋은 성능을 내며 리소스 사용을 줄일 수 있음을 확인할 수 있었다.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2022.10a
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• pp.430-432
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• 2022

With the recent increase in interest in the open science movement in science and technology fields such as open access, open data, and open source, the movement to share and utilize publicly funded research products is materializing and revitalizing. In line with this trend, many efforts are being made to establish and revitalize a system for sharing and utilizing research data, which is a key resource for research in Korea. These efforts are mainly focused on collecting research data by field and institution, and linking it with DataON, a national research data platform, to search and utilize it. However, developed countries are building a system that can share and utilize not only such research data but also various types of R&D-related computing resources such as IaaS, PaaS, SaaS, and MLaaS. EOSC (European Open Science Cloud), ARDC (Australian Research Data Commons), and CSTCloud (China S&T Cloud) are representative examples. In Korea, the Korea Research Data Commons (KRDC) is designed and a core framework is being developed to facilitate the sharing of these computing resources. In this study, the necessity, concept, composition, and future plans of KRDC are introduced.

• The Journal of the Korea institute of electronic communication sciences
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• v.12 no.1
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• pp.47-52
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• 2017

This study is BIT(: Bus Information Terminal) features that take advantage of KEPCO eIoT(: energy Internet of Thing) platform, and it's Network configuration is composed of display terminal device, gateway, platform, and the service server. The key features are parts for processing protocol data between the gateway and the device using LoRa(: Long Range) technology, Intelligent applications and SIP(: Session Initiation Protocol) data handling connected to the Taxi reservation system. And the resource tree provided BIT for the service, which commonly used in the application server and the device.

• The Journal of the Korea institute of electronic communication sciences
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• v.11 no.11
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• pp.1107-1112
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• 2016

This study is the Smart Office features that take advantage of KEPCO eIoT(: energy Internet of Thing) platform, and it's Network configuration is composed of sensing device, gateway, platform, and the service server. The key features are parts for processing protocol data between the gateway and the device using LoRa(: Long Range) technology, Intelligent applications and public safety data connected to the PS-LTE(: Public Safety-Long-Term Evolution) system. And the resource tree provided Smart Office for the service, which commonly used in the application server and the device.

• Journal of Korea Multimedia Society
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• v.11 no.8
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• pp.1169-1178
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• 2008

Most of information in Web2.0 is constructed by users and can be classified by tags which are also constructed and added by users. However, as we known, referring by the related works such as automatic tagging techniques and tag cloud's construction techniques, the research to be classified information and resources by tags effectively is to be given users which is still up to the mark. In this paper, we propose and implement a clustering system that does mapping each other according to relationships of the resource's tags collected from Web and then makes the mapping result into clusters to retrieve images. Tn addition, we analyze our system's efficiency by comparing our proposed system's image retrieval result with the image retrieval results searched by Flickr website.

• The Journal of the Korea institute of electronic communication sciences
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• v.13 no.5
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• pp.1109-1116
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• 2018

The purpose of this study is to solve the loss of personal belongings by utilizing monitoring function of IoT platform. The beacon to combined with personal belongings are registered with the application server, the trigger processing function according to the occurrence of the lost event is performed intelligently through the device, the app, the IoT network, and the application server.