• 조명전기설비학회논문지
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• 제17권5호
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• pp.94-102
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• 2003

본 연구에서는 능동 데이터베이스를 이용하여 배전선로의 운전을 자동화하는 방안을 제시하였다. 기존의 선로운 전자동화 시스템에서는 수동형 데이터베이스를 사용으로 인위에 의한 실수로 광역정전 또는 과부하 구간의 파급등이 발생될 우려가 있었다. 그러나 제시된 능동 데이터베이스는 선로운전 자동화 시스템 데이터베이스의 상태를 항상 감시하고 스위치의 상태나 계통의 전류 또는 부하량이 변경되었을 경우 그에 상응하는 일련의 작업을 사용자의 개입없이 능동 규칙이용하여 데이터베이스 스스로 수행하도록 함으로써 인위에의한 실수를 최소화 할 수 있다. 제시된 방식을 실 계통인 서울의 K지점의 모의 배전계통에 적용하여 그 유용성을 입증하였다.

• 한국통신학회논문지
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• 제25권8A호
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• pp.1085-1095
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• 2000

이 논문에서는 시스템의 라우팅 구성 장애를 진단하고 복구하기 위한 규칙과 알고리즘을 제시하고 이를 이용하여 피관리 시스템에서 발생한 라우팅 구성장애를 자동으로 관리할수 있는 시스템을 JAVA를 이용하여 설계하고 구현하였다. 라우팅 구성장애 관리를 위하여 네트워크 구성 관리 생성 규칙 라우팅 구성장애 진단 생성규칙 라우팅 구성 장애 복구 생성규칙을 제안하였으며 후향 추론 알고리즘을 기반으로 이런 생성규칙간의 상호 연동을 위하여 메타 규칙을 적용하여 시스템을 구현하였다 구현한 시스템을 시나리오에 기반하여 규칙 Blackboard 목표의 변화과정을 보여줌으로써 실험결과를 제시하였다. 이 논문에서는 이질적으로 급변하는 네트워크 환경에 능동적으로 대처할수 있는 시스템 구현을 통해서 시스템의 라우팅 구성장애 관리에 드는 비용과 시간을 줄이고 시스템의 네트워크 구성 장애 관리를 위한 방법론을 제시하고자 한다.

• 한국정보처리학회논문지
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• 제6권11호
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• pp.2875-2888
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• 1999

In this paper we present compiler-based active rule system to efficiently maintain spatial integrity constraints in a heterogeneous, distributed environment. Specially, the prototype active rule system presented has been developed as a component of a whole middleware system called SDBC(Spatile DataBase Connectivity). Due to this reason, our active rule system is provided for heterogeneous ODBMSs in a distributed environment and used to define spatial integrity constraints using the active rules in E-C-A(Event-Condition-Action) type. Using this active rule system, an application programmer can free himself from a heavier burden on the integrity maintenance of application objects. In the compiler-based approach, active rules applicable to events raised by a database program are directly inserted into the program in a function type by the preprocessor, and then they are compiled with the application program source codes. One advantage of this approach is that there is no run-time overhead accompanied by monitoring all the database transitions when preprocessed program is executed. This active rule system also provides facilities to manage changed rules and dynamically interpret those rules at run-tuime.

• 반도체디스플레이기술학회지
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• 제18권1호
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• pp.74-78
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• 2019

As software becomes larger and network technology develops, the management of distributed data becomes more popular. Therefore, it is becoming increasingly important to use blockchain technology that can guarantee the integrity of data in various fields by utilizing existing infrastructure. Blockchain is a distributed computing technology that ensures that servers participating in a network maintain and manage data according to specific agreement algorithms and rules to ensure integrity. As smart contracts are applied, not only passwords but also various services to be applied to the code. In order to reinforce existing research on smart contract applied to the blockchain, we proposed a dynamic conditional rule of smart contract that can formalize rules of smart contract by introducing ontology and SWRL and manage rules dynamically in various situations. In the previous research, there is a module that receives the upper rule in the blockchain network, and the rule layer is formed according to this module. However, for every transaction request, it is a lot of resources to check the top rule in a blockchain network, or to provide it to every blockchain network by a reputable organization every time the rule is updated. To solve this problem, we propose to separate the module responsible for the upper rule into an independent server. Since the module responsible for the above rules is separated into servers, the rules underlying the service may be transformed or attacked in the middleware. Therefore, the security mechanism using TLS and PKI is added as an agent in consideration of the security factor. In this way, the benefits of computing resource management and security can be achieved at the same time.

• 한국인터넷방송통신학회논문지
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• 제14권1호
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• pp.237-243
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• 2014

본 논문에서는 SI산업 시장에서의 효율적인 비즈니스 룰 작성을 위한 시스템을 제시하였다. 단순히 워드나 PPT를 이용하여 룰을 작성하는 것 보다 개발자와 현업 직원간의 의사소통을 더욱 원활히 진행할 수 있게 해 주는 시스템을 구현하였다. 본 논문에서 사용된 시스템은 템플릿을 제시하여 이 템플릿에 맞는 문장을 작성하게 하는 것을 목표로 하였다. 비즈니스 룰의 주제별로 문장을 작성할 수 있는 템플릿을 제시하였고 이 템플릿들에 따라 문장을 더욱 명확히 입력할 수 있도록 하는 입력 툴을 같이 제시하였다.

• 한국컴퓨터정보학회논문지
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• 제11권1호
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• pp.27-34
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• 2006

최근 공간 정보들을 효과적으로 이용할 수 있는 기술에 대한 연구가 활발하게 이루어지고 있다. 효율적인 지식 탐사를 위해 다양한 기존의 데이터 마이닝 방법들이 확장되어 공간 데이터 마이닝에 사용되고 있다. 그러나 기존의 공간 연관 규칙 탐사 시스템들은 프레디킷 간의 연산을 통해 규칙을 발견함에 따라 질의 결과에 다양한 비공간 속성들을 반영하지 못하는 문제점을 가지고 있다. 본 논문에서는 이러한 문제점을 해결하기 위해 공간 데이터베이스에서 사용되는 질의를 확장하고, 위상정보에 따른 데이터를 구성한 후 비공간 객체 속성간의 연관 규칙을 발견하는 시스템을 제안한다. 특히 지리 정보 시스템에 적용 가능한 모델을 구현하였다. 이렇게 구현된 시스템은 사용 중인 공간 데이터베이스를 확장하므로 이식성이 뛰어나고, 공간 속성뿐만 아니라 다양한 비공간 속성을 고려함으로써 좀 더 실생활에 유용한 공간 연관 규칙을 발견할 수 있다.

• 대한전기학회:학술대회논문집
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• 대한전기학회 2004년도 심포지엄 논문집 정보 및 제어부문
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• pp.126-128
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• 2004

As e-mail is becoming increasingly important in every day life activity, mail users spend more and more time organizing and classifying the e-mails they receive into folder. Many existing recommendation systems or text classification are mostly focused on recommending the products for the commercial purposes or web documents. So this study aims to apply these application to e-mail more necessary to users. This paper suggests a dynamic recommendation agent system based on Rule Filtering Component recommending the relevant category to enable users directly to manage the optimum classification when a new e-mail is received as the effective method for E-Mail Management. Moreover we try to improve the accuracy as eliminating the limits of misclassification that can be key in classifying e-mails by category. While the existing Bayesian Learning Algorithm mostly uses the fixed threshold, we prove to improve the satisfaction of users as increasing the accuracy by changing the fixed threshold to the dynamic threshold. We designed main modules by rule filtering component for enhanced scalability and reusability of our system.

• 대한원격탐사학회:학술대회논문집
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• 대한원격탐사학회 2008년도 International Symposium on Remote Sensing
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• pp.266-269
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• 2008

Urban is more intelligent continuously with the help of the convergence with IT technology. And it requires an integrated control system, which can manage urban facilities or monitor large-scale events based on GIS data, to provide its citizen with various ubiquitous services such as u-Health, u-Traffic, context-awareness etc. In order to realize the intelligent city geo-sensors that have the functionalities of generic sensing as well as location awareness will be established everywhere in the near future. Our system we presented have a rule engine to handle a atomic event as well as complex events that contain control flow or branch among them. And it can allow for visualization and monitoring the results through KML (Keyhole Mark-up Language) in the Google Maps. This paper describes au-GIS event processing system that can deal effectively with u-GIS events coming from various geo-sensor data in ubiquitous computing environments.

• International Journal of Control, Automation, and Systems
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• 제4권3호
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• pp.372-381
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• 2006

The purpose of this study was to develop a process management system to manage ingot fabrication and improve ingot quality. The ingot is the first manufactured material of wafers. Trace parameters were collected on-line but measurement parameters were measured by sampling inspection. The quality parameters were applied to evaluate the quality. Therefore, preprocessing was necessary to extract useful information from the quality data. First, statistical methods were used for data generation. Then, modeling was performed, using the generated data, to improve the performance of the models. The function of the models is to predict the quality corresponding to control parameters. Secondly, rule extraction was performed to find the relation between the production quality and control conditions. The extracted rules can give important information concerning how to handle the process correctly. The dynamic polynomial neural network (DPNN) and decision tree were applied for data modeling and rule extraction, respectively, from the ingot fabrication data.

• 디지털산업정보학회논문지
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• 제19권3호
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• pp.129-136
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• 2023

In this paper, we describe a rule-based risk classification algorithm to perform Risk-based Inspection (RBI) on imported goods at customs. The RBI system is a method to automatically select which cargos have to be inspected and manage potential risks in boarder. In this study, we designed a rule-based risk classification algorithm for RBI solutions and implemented them using the Svelte web application framework. The risk classification algorithm proposed in this paper uses different indicative risk factors such as HS code, country of origin, importer's reliability, trade relationships, and logistics routes to classify cargos into Green, Yellow, and Red channels. To achieve this, we assigned risk categories to each risk factor and randomly generated risk scores within a specific range for each risk category. This system is expected to contribute to the increased efficiency of customs operations and protect public safety by minimizing the risk of imported hazardous materials.