• 한국컴퓨터정보학회논문지
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• 제21권10호
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• pp.99-105
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• 2016

The active rule system is a key element of the rule-based mobile agent middleware system for activeness and autonomy of the sensor network. The rule manager, which is the main components of active rule based mobile agent framework and active rule system, performs the control and management of the rule-related processes. In this paper, we design and implement the roles and functions of the rule manager in detail. The proposed rule manager plays an important role in the sensor network environment. The sensor data server loads the active rule on the mobile agent by the rule manager according to the situations, and the mobile agent migrates to the destination node and performs the designated action. This active rule-based mobile agent middleware system presents the usefulness for the various sensor network applications. Through the rule execution experiment using the rule-based mobile agent, we show the adaptability and applicability of rule-based mobile agent middleware system to the dynamic environmental changes in sensor networks.

• Nonlinear Functional Analysis and Applications
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• 제26권5호
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• pp.935-947
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• 2021

An efficient adaptive scheme based on a triple mixed quadrature rule of precision nine for approximate evaluation of line integral of analytic functions has been constructed. At first, a mixed quadrature rule SM₁(f) has been formed using Gauss-Legendre three point transformed rule and five point Booles transformed rule. A suitable linear combination of the resulting rule and Clenshaw-Curtis seven point rule gives a new mixed quadrature rule SM₁₀(f). This mixed rule is termed as triple mixed quadrature rule. An adaptive quadrature scheme is designed. Some test integrals having analytic function integrands have been evaluated using the triple mixed rule and its constituent rules in non-adaptive mode. The same set of test integrals have been evaluated using those rules as base rules in the adaptive scheme. The triple mixed rule based adaptive scheme is found to be the most effective.

• 한국수자원학회논문집
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• 제47권10호
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• pp.891-906
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• 2014

본 연구는 수계관리 측면에서 물 공급의 기준이 되는 하류 제어지점에서 발생할 수 있는 물 부족을 최소 허용하면서 저수지군 최적 운영방안을 제공할 수 있도록 위험도 평가기준을 목적함수 및 제약조건에 반영한 hedging rule을 혼합정수계획법(MIP, Mixed Integer Programming)으로 구성하고 이에 대한 이행도를 분석함으로써 기존의 용수공급 신뢰도에 중점을 두었던 저수지군 최적 운영 분석기법을 개선하고자 하였다. 이를 위해 한강수계 5개 저수지(소양강댐, 충주댐, 화천댐, 청평댐, 팔당댐)군을 대상으로 수계관리를 위한 모형을 구축하였으며, 한강수계 내에 총 8개의 가상 제어지점을 구성하여 댐 하류 제어지점에서의 물 부족에 대해 위험도를 평가하였으며, 개발된 hedging rule의 적정성을 검증하기 위하여 2개의 유입량 계열('93. 1월~'97. 12월, '99. 1월~'03. 12월)에 대하여 적용 검토하였다. 팔당댐 하류 제어지점의 월별 최소유량을 비교하면 '93. 1월~'97. 12월의 모의기간에서는 hedging rule 적용 시 $317.5{\times}10^6m^3$으로 단독운영의 $310.6{\times}10^6m^3$, 연계운영의 $56.3{\times}10^6m^3$ 보다 많은 유량을 보였으며, '99. 1월~'03. 12월의모의기간에서도 hedging rule 적용시 $243.7{\times}10^6m^3$ 으로 단독운영의 $204.2{\times}10^6m^3$, 연계운영의 $111.2{\times}10^6m^3$에 비해 최소 유량이 많은 것을 확인하였으며, 이는 제안한 hedging rule에 의해 하류 제어지점에서의 최대 물 부족량이 감소하는 결과를 보여주고 있다.

• Journal of applied mathematics & informatics
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• 제32권5_6호
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• pp.635-647
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• 2014

In this paper, a generalized perturbed midpoint rule is established. Various error bounds for this generalization are also obtained.

• 한국안광학회지
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• 제6권1호
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• pp.71-76
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• 2001

본 연구는 연령과 난시축 변화 관계를 알아보기 위해 안과적 질환이 없는 굴절이상안 4277안을 대상으로 타각적, 자각적 굴절검사를 실시하였다. 그 결과 전체 굴절이상안 가운데 난시안은 76.5%로 나타났으며, 연령별로는 20대가 32.1%로 가장 높게, 50대 이상에서는 10.3%로 가장 낮게 나타났다. 난시안의 분포는 직난시 51.4%, 도난시 31.7%, 사난시 16.9%로 직난시 비율이 가장 높게 나타났다. 연령별 난시축의 분포에서 직난시 비율은 10대에서 68.3%로 가장 높았으며, 도난시 비율은 50대 이상에서 72.6%로 가장 놓게 나타났다. 30대에서는 직난시와 도난시의 비율이 비슷하였고, 30대를 기준으로 30대 이전에는 직난시의 비율이, 30대 이후에는 도난시의 비율이 높게 나타났다. 연령이 증가할수록 직난시는 감소하는 반면, 도난시는 증가는 경향을 나타냈는데 이는 젊었을 때의 직난시가 나이가 들면서 도난시로 변화되었다고 추정된다. 사난시는 연령 변화에 크게 영향을 받지 않는 것으로 조사되었다.

• 정보처리학회논문지D
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• 제10D권1호
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• pp.33-44
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• 2003

XML은 웹 데이터의 표현과 정보교환을 위한 표준이다. XML의 급격한 사용증가로 인하여 XML 저장 관리 시스템 및 XML 문서의 변화에 자동으로 대응할 수 있는 규칙기반의 기술개발에 대한 연구가 활발히 진행되고 있다. 능동 규칙은 사건, 조건, 조치로 구성되며 데이터베이스의 상태 변화에 자동으로 대응할 수 있는 특성이 있으므로 이러한 요구를 충족시킨다. 따라서 이 논문에서는 XML 문서를 자동으로 관리하기 위한 XML 기반의 능동 규칙 언어를 제안하고 이 규칙언어로 정의되는 능동 규칙에 대한 종료 분석 방법을 제시한다. 아울러 XML 문서의 능동적 관리를 위한 규칙의 적용 사례를 제시하고 분석 방법의 효율성에 대해 검증한다.

• Bulletin of the Korean Chemical Society
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• 제32권12호
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• pp.4233-4238
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• 2011

Based on the exact quantization rule for the nonrelativistic Schrodinger equation, the exact quantization rule for the relativistic one-dimensional Klein-Gordon equation is suggested. Using the new quantization rule, the exact relativistic energies for exactly solvable potentials, e.g. harmonic oscillator, Morse, and Rosen-Morse II type potentials, are obtained. Consequently the new quantization rule is found to be exact for one-dimensional spinless relativistic quantum systems. Though the physical meanings of the new quantization rule have not been fully understood yet, the present formal derivation scheme may shed light on understanding relativistic quantum systems more deeply.

• 통상정보연구
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• 제10권4호
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• pp.395-416
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• 2008

The advance information for oceangoing cargoes destined to th United States enable CBP to evaluate the potential risk of smuggling WMD and to facilitate the prompt release of legitimate cargo following its arrival in the Unites States. On January 1, 2008, CBP promulgate regulations, also known as 10+2 rule, to require the electronic transmission of additional data elements for improved high-risk targeting, including appropriate security elements of entry data for cargo destined to the United States by vessel prior to loading of such cargo on vessels at foreign seaports. The potential impact to an importer's international supply chain will be as follows ; Firstly, importers will take incremental supply chain costs and filing costs. Secondly, anticipate delay in shipment of containerized cargo. Thirdly, importers could be charged fines if they fail to file and file inaccurate or missing data. Companies exporting to the United States should be interested in 10+2 rule, analyze their current processes and procedures to ensure that they are prepared to handle the additional filing requirements of 10+2 rule. And they should focus on how 10+2 impacts their supply chain in terms of costs and sourcing. They will be necessary to revise service legal agreements with their forwarders, customs brokers or carriers in order to meet filing requirements of 10+2 rule.

• International Journal of Fuzzy Logic and Intelligent Systems
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• 제2권3호
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• pp.210-214
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• 2002

Association rule mining is an exploratory learning task to discover some hidden dependency relationships among items in transaction data. Quantitative association rules denote association rules with both categorical and quantitative attributes. There have been several works on quantitative association rule mining such as the application of fuzzy techniques to quantitative association rule mining, the generalized association rule mining for quantitative association rules, and importance weight incorporation into association rule mining fer taking into account the users interest. This paper introduces a new method for generalized fuzzy quantitative association rule mining with importance weights. The method uses fuzzy concept hierarchies fer categorical attributes and generalization hierarchies of fuzzy linguistic terms fur quantitative attributes. It enables the users to flexibly perform the association rule mining by controlling the generalization levels for attributes and the importance weights f3r attributes.

• Journal of information and communication convergence engineering
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• 제8권1호
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• pp.89-94
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• 2010

The most important of rule-base system is the knowledge base that determines the power of rule-base system. The important form of this knowledge is how to descript kinds of rules. The Rule-Base System (RBS) has been using in many field that need reflect quickly change of business rules in management system. As far, when develop the Rule-Based System, we must make a rule engine with a general language. There are three disadvantage of in this developed method. First, while there are many data that must be processed in the system, the speed of processing data will become very slow so that we cannot accept it. Second, we cannot change the current system to make it adaptive to changes of business rules as quickly as possible. Third, large data make the rule engine become very complex. Therefore, in this paper, we propose the two important methods of raising efficiency of Rule-Base System. The first method refers to using the Relational database technology to process the rules of the Rule-Base System, the second method refers to a algorithm of according to Quine McCluskey formula compress the rows of rule table. Because the expressive languages of rule are still remaining many problems, we will introduce a new expressive language, which is Rule-Base Data Model short as RBDM in this paper.