• Title/Summary/Keyword: Multiple-Chain

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Expression of Chitinase Gene in Solanum tuberosum L.

  • Park, Kyung-Hwa;Yang, Deok-Chun;Jeon, Jae-Heung;Kim, Hyun-Soon;Joung, Young-Hee;Hyouk Joung
    • Journal of Plant Biotechnology
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    • v.1 no.2
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    • pp.85-90
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    • 1999
  • In order to protect fungal diseases, leaf disc explants of Solanum tuberosum cultivar, Belchip, was infected with an Agrobacterium MP90 strain containing chimeric gene construct, consisting of antibiotic resistance and chitinase gene driven by the CaMV 35S promoter, for transformation. Regenerated multiple shoots were selected on a medium containing kanamycin and carbenicillin after exposure to Agrobacterium. The presence and integration of the npt II and chitinase gene were confirmed by polymerase chain reaction(PCR). Northern blot analysis indicated that the genes coding for the enzyme could be expressed in potato plants. The chitinase activity of transgenic potato plants was higher than the control potato.

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Cumulative Sum Control Charts for Simultaneously Monitoring Means and Variances of Multiple Quality Variables

  • Chang, Duk-Joon;Heo, Sunyeong
    • Journal of Integrative Natural Science
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    • v.5 no.4
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    • pp.246-252
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    • 2012
  • Multivariate cumulative sum (CUSUM) control charts for simultaneously monitoring both means and variances under multivariate normal process are investigated. Performances of multivariate CUSUM schemes are evaluated for matched fixed sampling interval (FSI) and variable sampling interval (VSI) features in terms of average time to signal (ATS), average number of samples to signal (ANSS). Multivariate Shewhart charts are also considered to compare the properties of multivariate CUSUM charts. Numerical results show that presented CUSUM charts are more efficient than the corresponding Shewhart chart for small or moderate shifts and VSI feature with two sampling intervals is more efficient than FSI feature. When small changes in the production process have occurred, CUSUM chart with small reference values will be recommended in terms of the time to signal.

Compensator Design for Linear System with Random Delay (불규칙한 시간지연이 존재하는 선형시스템의 제어기 설계)

  • 김선중;송택렬
    • Journal of Institute of Control, Robotics and Systems
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    • v.10 no.7
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    • pp.583-589
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    • 2004
  • Modem control systems often use a communication network to send measurement and control signals between nodes. Communication delays can be time varying. The length of the time delays is often hard to predict and modeled as being random. This paper proposes a combined controller used to compensate network time delay by estimating the delay with the interacting multiple model (IMM). The network delay is modeled as a Markov chain and 3 modes representing heavy, medium, and low network loads are used in the IMM. The proposed method is applied to an optimal control system with double integrators and the results are compared with the existing control methods.

Compensator Design for Linear Systems with Random Delay.

  • Kim, Sun-Jung;Song, Teak-Lyul
    • 제어로봇시스템학회:학술대회논문집
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    • 2003.10a
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    • pp.915-920
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    • 2003
  • Modern control systems often use a communication network to send measurement and control signals between nodes. Communication delays can be time varying. The length of the time delays is often hard to predict and are modeled as being random. This paper proposes a combined controller used to compensate network time delay by estimating the delay with the interacting multiple model (IMM). The network delay is modeled as a Markov chain and 3 modes representing heavy, medium, and low network loads are used in the IMM. The proposed method is applied to an optimal control system with double integrators and the results are compared with the existing control methods.

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Dual priming oligonucleotide system for the multiplex detection of tuberculosis in Hanwoo

  • Shin, Jong-Bong;Park, Nam-Yong;Kim, Yong-Hwan;Cho, Ho-Seong
    • Korean Journal of Veterinary Service
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    • v.30 no.4
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    • pp.527-532
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    • 2007
  • In present study, we described the reliability of the dual priming oligonucleotide (DPO) multiplex polymerase chain reaction (PCR) for the detection of Mycobacterium tuberculosis complex (MTC) and non-Mycobacterium tuberculosis (NMT) in blood samples of the Korea native cattle, Hanwoo. Among 340 samples 22 (6.5%) were positive in using DPO multiplex PCR, 21 (6.2%) were positive in PCR. The relative agreement between 2 tests was 99.7%, and the agreement quotient (kappa), was 0.95 (excellent). In these results, we demonstrated the successful application of DPO multiplex PCR for the diagnosis of bovine tuberculosis in Hanwoo. Multiplex PCR, using DPO primers, can be useful for the simple diagnosis of bovine tuberculosis in bovine blood samples.

An Improved PayWord Protocol Supporting Multiple Payment with Single Hash Chain (단일 해쉬 체인으로 다중 지불을 지원하는 개선된 PayWord 프로토콜)

  • Park, Ae-Young;Lim, Hyeong-Seok
    • Annual Conference of KIPS
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    • 2001.10b
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    • pp.899-902
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    • 2001
  • 공개키 연산을 이용하는 고액 지불 시스템(Macro Payment System)은 높은 수수료로 인해 경제성이 맞지 않아 소액 지불(Micro Payment)에는 적합하지 않다. 해쉬 연산을 이용한 PayWord 프로토콜은 저렴한 메커니즘 비용과 신속한 트랜잭션 처리, 거래과정에서 브로커의 오프라인 참여로 소액 대금 결재에 적합하다. 그러나 특정 상점에만 사용 가능한 화폐가치를 포함하여, 사용자가 거래하는 상점이 많아지면 관리 저장해야 하는 해쉬 체인의 수가 늘어나는 단점이 있다. 본 논문에서는 전자화폐에 해당하는 해쉬 체인을 하나만 생성하여 여러 상점들에 안전한 지불을 수행하는 개선된 소액 지불 프로토콜을 제안한다. 제안한 방법은 지불과정에 MAC(Message Authentication Code)을 이용한 해쉬 간을 추가하여, 상점들의 공모 및 악의적인 수정을 방지한다. 따라서 사용자는 하나의 해쉬 체인만을 생성함으로써 기존의 PayWord보다 계산부담이 줄고, 여러 상점들과의 일시적인 거래관계에서도 효율적인 지불을 수행한다.

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Offsetting Inventory Cycle of Items Sharing Storage using Mixed Integer Programming & Genetic Algorithm (혼합정수계획법 및 유전자 알고리즘을 이용한 다품목 재고 시스템의 주문 주기 상쇄에 관한 연구)

  • 문일경;차병철;김선권
    • Proceedings of the Korean Operations and Management Science Society Conference
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    • 2003.11a
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    • pp.81-84
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    • 2003
  • The ability to determine the optimal frequencies and offsets for independent and unrestricted ordering cycles for multiple items can be very valuable for managing storage capacity constrained facilities in a supply chain. The complexity of this problem has resulted in researchers focusing on more tractable surrogate problems that are special cases of the base problem. Murthy et al. (European Journal of Operation Research 2003) developed insights leading to solution of the original problem and present a heuristic for offsetting independent and unrestricted ordering cycles for items to minimize their joint storage requirements. However, their study cannot find optimal solution due to the Greedy Heuristic solution procedure. In this paper, we present a complete procedure to find the optimal solution for the model with a integer programming optimization approach and genetic algorithm. Numerical examples are included to compare each model with that of Murthy et at. Research of this type may prove useful in solving the more general problem of selecting order policies to minimize combined holding, ordering, and storage costs.

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Bayesian Inference and Model Selection for Software Growth Reliability Models using Gibbs Sampler (몬테칼로 깁스방법을 적용한 소프트웨어 신뢰도 성장모형에 대한 베이지안 추론과 모형선택에 관한 연구)

  • 김희철;이승주
    • Journal of Korean Society for Quality Management
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    • v.27 no.3
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    • pp.125-141
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    • 1999
  • Bayesian inference and model selection method for software reliability growth models are studied. Software reliability growth models are used in testing stages of software development to model the error content and time intervals between software failures. In this paper, we could avoid the multiple integration by the use of Gibbs sampling, which is a kind of Markov Chain Monte Carlo method to compute the posterior distribution. Bayesian inference and model selection method for Jelinski-Moranda and Goel-Okumoto and Schick-Wolverton models in software reliability with Poisson prior information are studied. For model selection, we explored the relative error.

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Performance Evaluations of Professional Baseball Players using DEA/OERA (DEA/OERA를 이용한 프로야구 선수들에 대한 성과 측정)

  • Lee, Deok-Joo;Yang, Won-Mo
    • IE interfaces
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    • v.17 no.4
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    • pp.440-449
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    • 2004
  • The OERA(Offensive Earned-Run Average) is a methodology for the performance evaluation of baseball players, which is based on a well- known Markov chain model. The DEA(Data Envelopment Analysis) is an LP-based evaluation technique for performance analysis of DMUs (Decision Making Units), whose production activities are characterized by multiple inputs and outputs. In this paper, the performances of Korean professional baseball players are analytically evaluated using both OERA and DEA methods. We discuss methodological strengths and drawbacks of two kinds of baseball evaluation techniques, by comparing both results. Finally to overcome the shortcomings of both methods, we develop a new analytical approach for baseball evaluation by combining OERA with DEA.

Integrated Production-Distribution Planning for Single-Period Inventory Products Using a Hybrid Genetic Algorithm (혼성 유전알고리듬을 이용한 단일기간 재고품목의 통합 생산-분배계획 해법)

  • Park, Yang-Byung
    • IE interfaces
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    • v.16 no.3
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    • pp.280-290
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    • 2003
  • Many firms are trying to optimize their production and distribution functions separately, but possible savings by this approach may be limited. Nowadays, it is more important to analyze these two functions simultaneously by trading off the costs associated with the whole. In this paper, I treat a production and distribution planning problem for single-period inventory products comprised of a single production facility and multiple customers, with the aim of optimally coordinating important and interrelated decisions of production sequencing and vehicle routing. Then, I propose a hybrid genetic algorithm incorporating several local optimization techniques, HGAP, for integrated production-distribution planning. Computational results on test problems show that HGAP is effective and generates substantial cost savings over Hurter and Buer's decoupled planning approach in which vehicle routing is first developed and a production sequence is consequently derived. Especially, HGAP performs better on the problems where customers are dispersed with multi-item demand than on the problems where customers are divided into several zones based on single-item demand.