• 제목/요약/키워드: Key chain

검색결과 807건 처리시간 0.024초

계층 구조에서의 해쉬 체인과 랜덤난수의 논리 연산을 이용한 그룹키 생성 기법 (Group Key Generation Scheme using Logical Operation of HashChain and Random Number in Hierarchy Structures)

  • 김현철;이영구;김정재;이광형
    • 한국산학기술학회논문지
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    • 제11권5호
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    • pp.1693-1701
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    • 2010
  • 본 논문에서는 조직내 상하 역할 구분이 명확한 계층 구조 환경에서의 효율적인 그룹키 생성을 위한 요구 조건을 제시하고 이를 만족하는 그룹키 생성 기법을 제안한다. 제안하는 기법은 일방향성의 해쉬 체인을 이용해 생성한 계층식별자와 접근권한에 따라 랜덤하게 생성하여 관리되는 그룹식별자와의 논리합 연산을 통해 키를 생성한다. 이를 통해, 기존의 정적 그룹키 생성 기법의 상위그룹 사용자로 하여금 과도한 키 생성 정보 소유 문제를 해결함과 동시에 하위그룹 사용자로 하여금 상위그룹 사용자의 키 정보를 유추할 수 없도록 하였다. 또한, 기존의 슈퍼그룹키 생성 기법, 다중 계층 그룹키 생성 기법과의 실험을 통한 비교분석 결과 생성되는 전체키의 수, 사용자 소유키의 수, 정보 암 복호화에 사용되는 키의 수, 키 자체 확장성 등과 같은 여러 항목에서 기존 기법과 동일하거나 우수함을 확인할 수 있었다.

Distribution of Product Value Chain: Do Farmers Receive the Lowest Benefits? The Case of Snubnose Pompano Fishery

  • Duy Ngoc NGUYEN;Nga Thi NGUYEN;Ngoc Van NGUYEN;Chau Minh HO
    • 유통과학연구
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    • 제22권6호
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    • pp.45-56
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    • 2024
  • Purpose: This study utilizes value chain analysis to investigate the distribution of benefits in the snubnose pompano product value chain, aiming to ascertain how these benefits are obtained by the farmers. Research design, data and methodology: The study approaches the assessment components from the economic analysis framework of the value chain. It investigates the various actors involved in the value chain of snubnose pompano fishery products in the South-Central Coast region of Vietnam from 2020 to 2022. Data collection is conducted through direct interviews with the actors utilizing survey questionnaires. Results: The results indicate that farmers, traders, and processors are key actors in the chain. The distribution of benefits between farmers and other actors has improved and tended towards greater harmony over the years. However, farmers receive benefits that are not commensurate with their value-added contribution. Farmers contribute the greatest value-added, but their profit margin share is not commensurate with the ratio of their value-added contribution to the chain. Farmers suffer the highest degrees of losses caused by price fluctuation and production risks, while other actors face smaller risks. Conclusions: The study offers some recommendations to adjust the distribution of benefits and risks among participants in this value chain.

3D Markov chain based multi-priority path selection in the heterogeneous Internet of Things

  • Wu, Huan;Wen, Xiangming;Lu, Zhaoming;Nie, Yao
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • 제13권11호
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    • pp.5276-5298
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    • 2019
  • Internet of Things (IoT) based sensor networks have gained unprecedented popularity in recent years. With the exponential explosion of the objects (sensors and mobiles), the bandwidth and the speed of data transmission are dwarfed by the anticipated emergence of IoT. In this paper, we propose a novel heterogeneous IoT model integrated the power line communication (PLC) and WiFi network to increase the network capacity and cope with the rapid growth of the objects. We firstly propose the mean transmission delay calculation algorithm based the 3D Markov chain according to the multi-priority of the objects. Then, the attractor selection algorithm, which is based on the adaptive behavior of the biological system, is exploited. The combined the 3D Markov chain and the attractor selection model, named MASM, can select the optimal path adaptively in the heterogeneous IoT according to the environment. Furthermore, we verify that the MASM improves the transmission efficiency and reduce the transmission delay effectively. The simulation results show that the MASM is stable to changes in the environment and more applicable for the heterogeneous IoT, compared with the other algorithms.

지식경영의 동태적 가치사슬 모형 구축 (Dynamic Value Chain Modeling of Knowledge Management)

  • 이영찬
    • 한국정보시스템학회지:정보시스템연구
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    • 제17권3호
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    • pp.205-233
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    • 2008
  • This study suggests the dynamic value chain model, that will be able to not only show changing processes to organization's significant capital by integrating an individual, implicit, and explicit knowledge which affect organizational decision making, but also distinguish the key driver for raising organizational competitive power because it makes possible to analyze sensitivity of performance along with decision making alternatives and policy changes from dynamic view by connecting knowledge management capability, knowledge management activity, and relations with organizational performance with specific strategic map. Recently, a lot of organizations show interest in measuring and evaluating their performance synthetically. In organizations taking knowledge management, they introduce effective value chain model like a dynamic balanced scorecard (DBSC), and therefore they can reflect their knowledge management condition as well as show their changes by checking performance of established vision and strategy periodically. Furthermore, they can ask for their inner members' understanding and participation by communicating with and inspiring their members with awareness that members are one of their group, present a base of benchmarking, and offer significant information for later decision making. The BSC has been a successful framework for measuring an organization's performance in various perspectives through translating an organization's vision and strategy into an interrelated set of key performance indicators and specific actions. The BSC, while having significant strengths over traditional performance measurement methods, however, has its own limitations, due to its static nature, such as overlooking two-way causation between performance indicators and neglecting the impact of delayed feedback flowing from the adoption of new strategies or policy changes. To overcome these limitations, this study employs SD, a methodology for understanding complex systems where dynamic feedback among the interrelated system components significantly impact on the system outcomes. The SD simulation model in the form of DBSC would serve as a useful strategic teaming tool for facilitating an organization's communication process through various scenario analyses as well as predicting the dynamic behavior pattern of their key performance measures over a future time frame. For the demonstration purpose, this study applied the DBSC model to Prototype of Korea manufacturing and service firm.

Identification and Functional Analysis of the Chain Length Determinant Gene ste8 Involved in the Biosynthesis of Ebosin by Streptomyces sp. 139

  • Yang, Zhang;Li, Xiaohua;Qi, Xiaoqaing;Shan, Junjie;Jiang, Rong;Guo, Lianhong;Zhang, Ren;Li, Yuan
    • Journal of Microbiology and Biotechnology
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    • 제23권11호
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    • pp.1500-1508
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    • 2013
  • Ebosin, a novel exopolysaccharide produced by Streptomyces sp. 139, has obvious antirheumatic arthritis activity in vivo, and its biosynthesis gene cluster (ste), consisting of 27 open reading frames, has been identified. This paper reports our study of the gene functionality of ste8, the predicted protein product of which is homologous to some bacterial chain length determinant Wzz proteins. For characterization of Ste8, ste8 was cloned and expressed in the mutant strain E. coli 086:H2 (${\Delta}wzz$). The functional complementation of wzz by ste8 was demonstrated by the restoration of wild-type lipopolysaccharide biosynthesis and increased levels of serum resistance of E. coli 086:H2 (${\Delta}wzz$) (pET30a-ste8). To examine the function of ste8 in ebosin biosynthesis, the gene was knocked out with a double crossover via homologous recombination. The molecular weight of the ebosin derivative EPS-8m produced by the mutant Streptomyces sp. 139 ($ste8^-$) was much lower than that of ebosin, and the binding activity of EPS-8m for IL-1R decreased significantly compared with ebosin. These results demonstrate that ste8 encodes a chain length determinant (Wzz) that functions in ebosin biosynthesis.

가역 도약 마르코프 연쇄 몬테 카를로 방법을 이용한 물성 역산 기술 소개 (Introduction to Subsurface Inversion Using Reversible Jump Markov-chain Monte Carlo)

  • 전형구;조용채
    • 지구물리와물리탐사
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    • 제25권4호
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    • pp.252-265
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    • 2022
  • 지하 매질의 물성 정보는 지층 구조의 정확한 영상화를 위해 필요하며, 예측된 매질 물성 자체도 지하 매질 특성에 대한 중요한 정보를 제공해줄 수 있기 때문에 다양한 종류의 지층 물성 도출 알고리듬들이 개발되고 적용되어왔다. 그 중 마르코프 연쇄 몬테 카를로를 이용한 확률론적인 접근 방법은 기존의 결정론적인 접근 방법과는 달리 지역 최소값 문제를 완화시킬 수 있으며 역산 결과의 불확실성을 정량화할 수 있다는 부분에서 장점을 가진다. 따라서 마르코프 연쇄 몬테 카를로를 이용한 지층 물성 역산 알고리듬이 다양한 지구 물리 자료의 역산에 적용되어 왔으나 그 사례는 결정론적 접근 방법에 비해 매우 적다. 본 논문에서는 여러 형태의 마르코프 연쇄 몬테 카를로 역산 알고리듬 중 가역 도약을 적용한 가역 도약 마르코프 연쇄 몬테 카를로 역산을 탄성파 자료 역산에 적용한 다양한 사례들을 소개하고 각각의 특성을 설명한다. 또한 가역 도역 마르코프 연쇄 몬테 카를로 역산의 장단점에 대해 분석하고 향후 해당 알고리듬의 연구 방향 및 국내의 활용성에 대해 논의한다.

Development of a New Duplex Real-Time Polymerase Chain Reaction Assay for Detection of Dicer in G. gallus

  • Ji, Xiaolin;Wang, Qi;Gao, Yulong;Wang, Yongqiang;Qin, Liting;Qi, Xiaole;Gao, Honglei;Wang, Xiaomei
    • Journal of Microbiology and Biotechnology
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    • 제23권5호
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    • pp.630-636
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    • 2013
  • Recently, there has been a growing body of evidence showing that cellular microRNAs (miRNAs) are involved in virus-host interactions. Numerous studies have focused on analyses of the expression profiles of cellular miRNAs, but the expression patterns of Dicer, which is responsible for the generation of miRNAs, have only rarely been explored in Gallus gallus. We developed a duplex real-time reverse transcriptase polymerase chain reaction (RT-PCR) assay for the relative quantification of the mRNAs of Dicer and ${\beta}$-actin in G. gallus. To apply this method, the expression of Dicer in avian cells after infection with avian leukosis virus subgroup J (ALV-J) was detected using our established duplex real-time RT-PCR. The duplex real-time RT-PCR assay is sufficiently sensitive, specific, accurate, reproducible, and cost-effective for the detection of Dicer in G. gallus. Furthermore, this study, for the first time, demonstrated that ALV-J can induce differential expression of Dicer mRNA in the ALV-J-infected cells.

Work chain-based inverse kinematics of robot to imitate human motion with Kinect

  • Zhang, Ming;Chen, Jianxin;Wei, Xin;Zhang, Dezhou
    • ETRI Journal
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    • 제40권4호
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    • pp.511-521
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    • 2018
  • The ability to realize human-motion imitation using robots is closely related to developments in the field of artificial intelligence. However, it is not easy to imitate human motions entirely owing to the physical differences between the human body and robots. In this paper, we propose a work chain-based inverse kinematics to enable a robot to imitate the human motion of upper limbs in real time. Two work chains are built on each arm to ensure that there is motion similarity, such as the end effector trajectory and the joint-angle configuration. In addition, a two-phase filter is used to remove the interference and noise, together with a self-collision avoidance scheme to maintain the stability of the robot during the imitation. Experimental results verify the effectiveness of our solution on the humanoid robot Nao-H25 in terms of accuracy and real-time performance.

무선 센서 네트워크에서의 효율적 Broadcast Authentication 방안 (An efficient Broadcast Authentication Scheme for Wireless Sensor Networks)

  • 문형석;이성창
    • 대한전자공학회논문지TC
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    • 제43권6호
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    • pp.23-29
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    • 2006
  • 자원 제한적인 노드들로 구성되는 무선 센서 네트워크의 보안 알고리즘은 짧은 패킷 길이와 메모리, 컴퓨팅 능력, 전력 등의 자원 문제 때문에 기존의 보안 알고리즘을 적용하기가 힘들다. 주로 센서의 자원 사용이 상대적으로 덜하고, 키 길이가 짧은 공유키 기반의 알고리즘이 많이 사용되고 있지만 베이스스테이션의 브로드캐스트 패킷에 대한 인증을 위해서 단순히 전체 노드가 동일한 공유키를 가지는 방식은 적합하지 못하다. 최근 센서 네트워크에 적합한 형태의 브로드캐스트 인증 알고리즘으로, one-way 해쉬 함수를 이용한 키 체인생성과 키 체인의 각 키를 이용한 Message Authentication Code 생성, 지연된 키 공개를 이용한 알고리즘이 제안 되었다. 이러한 방식은 무선 센서 네트워크 환경에 적합한 인증 방식을 제공하지만 브로드캐스트 율, 키 체인 레벨 등, 네트워크의 각 조건에 따라 비효율적인 결과를 초래하기도 한다. 본 논문에서는 키 체인 링크 및 주기적 키 공개 방식을 이용하여 낮은 인증 딜레이를 보장하며, 패킷 송수신량과 수신 노드의 메모리 및 컴퓨팅 리소스를 효율적으로 사용할 수 있도록 개선된 브로드캐스트 인증 알고리즘을 제안하고, TinyOS의 TOSSIM으로 그 성능을 검증한다.

Evaluating Green Supply Chain Management with Incomplete Information

  • Tseng, Ming-Lang;Lin, Ru-Jen;Chiu, Anthony Shun Fung
    • Industrial Engineering and Management Systems
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    • 제11권2호
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    • pp.165-169
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    • 2012
  • There has been a growing interest in firms' environmental sustainability activities to improve environmental practices in their supply chain. This study aims to deal with supplier evaluation of firm's green supply chain management (GSCM) criteria with incomplete information. Nevertheless, the suitable supplier is a key strategic direction in eliminating environmental impact on supply chain management for manufacturing firms. The firm's GSCM criteria and supplier selection need to be unified as a system to improve the firm's performance.