• Title/Summary/Keyword: 블록 기반 방법

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Application and Future Direction of Blockchain Technology (블록체인 기술의 적용과 미래방향)

  • Myungsuk Lee;Keejoo Kim
    • Journal of Practical Engineering Education
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    • v.15 no.1
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    • pp.133-142
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    • 2023
  • This study aims to examine how blockchain technology is currently being applied in various fields, as well as the methods and limitations involved in constructing blockchain, and to gauge the potential future of blockchain technology. The success or realization of the technology's applications will depend on how quickly certain technical challenges can be overcome. This paper emphasizes that with the advancement of blockchain technology, when transparency and reliability are improved, it will become a significant force in changing not only the industrial sector but also the economic and political domains. Even if the problem awareness demonstrated by blockchain technology cannot be the most effective solution for solving real-world problems, the framework it presents will provide a significant window for us to understand the problems we face in reality.

Intra mode encoding to use probability information in low bit rate condition (저비트율 환경에서 확률 정보를 이용한 화면내 모드 부호화)

  • Kim, Kibaek;Kim, Jaehun;Yoon, Hosun;Jeong, Jechang
    • Proceedings of the Korean Society of Broadcast Engineers Conference
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    • 2012.07a
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    • pp.457-458
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    • 2012
  • 본 논문에서는 저비트율 환경에서 화면내 예측 모드 정보를 적응적으로 부호화하는 방법을 제안한다. 저비트율 환경에서의 예측 모드의 확률정보에 기반하여 특성을 분석한 후 기존의 방법과 제안된 방법을 적응적으로 선택하여 예측 모드 정보를 부호화 한다. 제안된 방법에서는 기존의 MPM을 대체하여 하나의 MB내에서 MPM과 일치하지 않는 블록에 대한 개수에 대한 정보, 해당 블록의 위치 정보, 실제 모드 정보를 부호화하는 방법을 사용하였다. 실험 결과를 통해서, 제안된 기술은 저비트율 환경에서 평균적으로 0.10dB의 BD-PSNR 증가 또는 1.72%의 BD-bitrate를 감소시킴으로써 H264/AVC의 효율을 향상시킴을 확인할 수 있다.

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Motion Estimation by Fermat Number Transform (Fermat Number 변환에 기반한 모션벡터 예측)

  • 김남호;성주승;송문호
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.27 no.7A
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    • pp.705-710
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    • 2002
  • In this paper, we present a method to find motion vectors in frequency domain for video data compression. The proposed algorithm is based on the Format Number Transform (FNT), and it declares the most correlated-block as the best matching block, as opposed to declaring the block with least sum of differences between blocks. We show that the proposed method is equivalent to declaring the block with the minimum L2-norm as the best matching block. Unlike other previous fast algorithms, the time requirement for the proposed algorithm does not defend on the image type for finding the optimum solution.

Efficient RBAC based on Block Chain for Entities in Smart Factory (스마트 팩토리 엔터티를 위한 블록체인 기반의 효율적인 역할기반 접근제어)

  • Lee, YongJoo;Lee, Sang-Ho
    • Journal of the Korea Convergence Society
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    • v.9 no.7
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    • pp.69-75
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    • 2018
  • The key technology of Industry 4.0, Smart factory is evaluated as the driving force of our economic development hereafter and a lot of researches have been established. Various entities including devices, products and managers exist in smart factory, but roles of these entities may be continuous or variable and can become extinct not long after. Existing methods for access control are not suitable to adapt to the variable environment. If we don't consider certain security level, important industrial data can be the targets of attacks. We need a new access control method satisfying desired level of efficiency and security without excessive system loads. In this paper, we propose a new RBAC-PAC which extend AC defined for PKC to the authority attribute of roles. We distribute PACs for roles through block chain method to provide the efficient access control. We verified that RBAC-PAC is more efficient in the smart factory with large number of entities which need a frequent permission update.

A Study on Malicious Code Detection Using Blockchain and Deep Learning (블록체인과 딥러닝을 이용한 악성코드 탐지에 관한 연구)

  • Lee, Deok Gyu
    • KIPS Transactions on Computer and Communication Systems
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    • v.10 no.2
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    • pp.39-46
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    • 2021
  • Damages by malware have recently been increasing. Conventional signature-based antivirus solutions are helplessly vulnerable to unprecedented new threats such as Zero-day attack and ransomware. Despite that, many enterprises have retained signature-based antivirus solutions as part of the multiple endpoints security strategy. They do recognize the problem. This paper proposes a solution using the blockchain and deep learning technologies as the next-generation antivirus solution. It uses the antivirus software that updates through an existing DB server to supplement the detection unit and organizes the blockchain instead of the DB for deep learning using various samples and forms to increase the detection rate of new malware and falsified malware.

A Mobile Voting DApp Implementation and Security Issues (모바일 투표 Dapp 실행 및 보안 이슈)

  • KHERLEN, NARANTUYA;Park, Jun Beom;Park, Jong Sou
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2019.05a
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    • pp.290-292
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    • 2019
  • Since the advent of blockchain and bitcoin, decentralization has been accelerating around the world as a public blockchain ethereum with smartcontract has begun. Developers can use Ethereum's blockchain development platform to develop "distributed applications" (DApp) running on a decentralized P2P network, and various types of devices from IoT to mobile can participate in a block-chain distributed environment have. Using Ethereum's blockchain development platform, developers can develop "Decentralized Application (DApp)" that run on a decentralized P2P network and various types of devices from IOT to mobile can participate in distributed blockchain environments. There are many ways to interact with the blockchain and the smart contract, but users tend to prefer the mobile methods due to their convenience and accessibility advantages. Therefore, the author developed an Android based voting DApp and researched related issues. Since the current development methods of DApp are not adequately researched and standardized, efficient methods for developing user-friendly DApp were studied. Because DApp has to spend a certain amount of fees to interact with blockchain, it has intensively investigated the gas problem of Smart Contract code and the security problem of code, and author would like to introduce it in this paper.

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Secure Healthcare Data Management and Sharing Platform Based on Hyperledger Fabric (하이퍼레저 패브릭 기반의 안전한 헬스케어 데이터 관리 및 공유 플랫폼 개발 연구)

  • Choi, Ye-Jin;Kim, Kyoung-jin
    • Journal of Internet Computing and Services
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    • v.21 no.1
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    • pp.95-102
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    • 2020
  • In this paper, we present a healthcare data integration management and sharing platform based on a permissioned blockchain-based system called the Hyperledger fabric. The Hyperledger fabric allows patients to easily access their data, share the data with agencies that need it, and also reward participants. The healthcare data is stored in the blockchain by a de-identification process. Privacy is protected by setting detailed access rights to the stored data. The proposed model provides higher security than other models using a public blockchain. This study confirms that patient data can be stored more securely, by comparing the data stored in the blockchain with that from existing information storage methods.

A Block-Based Volume Rendering Algorithm Using Shear-Warp factorization (쉬어-왑 분해를 이용한 블록 기반의 볼륨 렌더링 기법)

  • 권성민;김진국;박현욱;나종범
    • Journal of Biomedical Engineering Research
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    • v.21 no.4
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    • pp.433-439
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    • 2000
  • Volume rendering is a powerful tool for visualizing sampled scalar values from 3D data without modeling geometric primitives to the data. The volume rendering can describe the surface-detail of a complex object. Owing to this characteristic. volume rendering has been used to visualize medical data. The size of volume data is usually too big to handle in real time. Recently, various volume rendering algorithms have been proposed in order to reduce the rendering time. However, most of the proposed algorithms are not proper for fast rendering of large non-coded volume data. In this paper, we propose a block-based fast volume rendering algorithm using a shear-warp factorization for non-coded volume data. The algorithm performs volume rendering by using the organ segmentation data as well as block-based 3D volume data, and increases the rendering speed for large non-coded volume data. The proposed algorithm is evaluated by rendering 3D X-ray CT body images and MR head images.

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Performance Analysis of HEVC SCC Hash-based IntraBC through Modified Hash Stucture (다양한 해시 구성을 활용하는 HEVC 스크린 콘텐츠 코딩 화면 내 블록 카피 기법의 코딩 성능 분석)

  • Lee, Junghyun;Jeong, Jechang
    • Proceedings of the Korean Society of Broadcast Engineers Conference
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    • 2017.06a
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    • pp.95-98
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    • 2017
  • 기존의 자연영상에 초점이 맞춰져 있던 HEVC 동영상 압축 표준은 스크린 콘텐츠 코딩(SCC)을 제안하여 문자와 그래픽 효과가 많이 포함된 스크린 콘텐츠 영상의 압축 성능을 향상시켰다. SCC의 화면 내 블록 카피 기법은 스크린 콘텐츠 영상의 특성상 한 화면 내 반복되는 무늬들을 찾아 예측에 활용한다. 이에 본 논문은 화면 내 블록 카피 기법에서 사용되는 블록 탐색 방법에 대해 연구하였다. 특히, 전역 탐색에서 사용되는 해시 기반의 탐색기법의 해시 값 구성의 분석을 통해, 해시 구성 요소들의 비중을 감소와 새로운 해시 구성 요소를 활용하여 최대 0.330% 비트레이트율 감소 및 0.328% 비트레이트율 감소 효과를 확인할 수 있었다.

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Human Visual System Based Adaptive Watermarking in Frequency Domain (HVS 기반 주파수 공간에서의 적응적인 워터마킹)

  • Park, Ki-Hong;Yoon, Byung-Min;Kim, Yoon-Ho
    • Journal of Advanced Navigation Technology
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    • v.9 no.2
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    • pp.170-176
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    • 2005
  • In this paper, we proposed watermarking algorithm based on wavelet transform. Discrete wavelet transform is involved to calculate additive energy strength. Considering imperceptibility, after computing contrast and texture sensitivity in gray-level image, we inserted watermark with variable weight due to the feature of coefficient block. Consequently, applying human visual system, the experimental results showed that the proposed algorithm satisfied the properties of robustness and imperceptibility that are the major conditions of watermarking.

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