• Journal of the Korea Society of Computer and Information
• /
• v.21 no.10
• /
• pp.99-105
• /
• 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.

• Proceedings of the Korean Operations and Management Science Society Conference
• /
• 2005.05a
• /
• pp.157-163
• /
• 2005

Nowadays, the web service was based on composing the e-business and distributed computing environment. But existing workflow management systems have many problems with the interoperability between companies because they are made before most web services. For these problems, the workflow based composition language such as the Business Process Execute Language for Web Services (BPEL4WS or BPEL) appeared in expressing the web service composition. In this paper, we present an event based rule management system architecture that executes automatically the BPEL using the Event-Condition-Action (ECA) rules. The event based rule management system consists of the event manager, rule manager, and Jess. The Jess is the part of executing and deciding the condition.

• International Journal of Internet, Broadcasting and Communication
• /
• v.10 no.3
• /
• pp.88-97
• /
• 2018

Chronic diseases management can be effectively achieved through early detection, continuous treatment, observation, and self-management, rather than a radar approach where patients are treated only when they visit a medical facility. However, previous studies have not been able to provide integrated chronic disease management services by considering generalized services such as hypertension and diabetes management, and difficult to expand and link to other services using only specific sensors or services. This paper proposes clinical rule flow model based on medical data analysis to provide personalized care for chronic disease management. Also, we implemented that as Rule-based Smart Healthcare System (RSHS). The proposed system executes chronic diseases management rules, manages events and delivers individualized knowledge information by user's request. The proposed system can be expanded into a variety of applications such as diet and exercise service in the future.

• Proceeding of Spring/Autumn Annual Conference of KHA
• /
• 2002.11a
• /
• pp.287-293
• /
• 2002

In this study, we purpose to indicate the concept of the Greenery Management System with resident participation at Experimental Housing NEXT21 as the mechanism that residents participate to the management of greenery independently, In this paper we clarified the whole process of the examination of the management rule by the analysis of the records of the process of the examination of the management rule from September 1999 to march 2002, and then we examined the possibility of the Greenery Management System with resident participation at Experimental Housing NEXT21

• Proceedings of the Korea Inteligent Information System Society Conference
• /
• 2007.11a
• /
• pp.362-366
• /
• 2007

최근 기업 경영활동의 의사결정시 사용되는 비즈니스 룰(Business Rule)을 정형화하고 하나의 시스템으로 구축하여 효과적으로 기업의 경쟁력을 제고하기 위한 노력이 다양하게 시도되고 있다. 비즈니스 룰 시스템 구축 작업의 경우 기업 내부에 비정형적으로 존재하는 비즈니스 룰을 체계적으로 관리하기 위해 BRMS(Business Rule Management System)와 같은 전문 관리 도구를 도입하나, 대부분의 경우 비즈니스 룰 리포지토리(Repository)를 단순히 기능별 혹은 업무별로 구성함으로 인해 동일한 내용의 룰이 서로 다른 룰 리포지토리에 중복 존재하게 되는 등 구조상의 문제점을 발생시킨다. 이로 인해 각 어플리케이션 간의 룰 또는 룰 세트(Rule Set) 공유 관계가 수동 관리되거나 중복 룰의 수정으로 인한 룰 세트별 버전 관리 문제 등 비즈니스 룰 리포지토리 운영의 어려움에 봉착하게 된다. 본 연구에서는 금융보험사의 룰웨어하우스 구축 사례를 통해 다양한 어플리케이션에서 참조되는 전사 수준의 비즈니스 룰 관리 아키텍처 구성 방법 및 각 방법이 지닌 장단점에 대해 분석한다. 본 연구의 결과를 토대로 다양한 어플리케이션에서 참조되고 수시로 변경되는 전사 수준의 통합 비즈니스 룰 관리 시스템 구축 방안에 대한 연구가 활성화되기를 기대한다.

• Journal of information and communication convergence engineering
• /
• v.8 no.1
• /
• pp.89-94
• /
• 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.

• International conference on construction engineering and project management
• /
• 2009.05a
• /
• pp.1161-1165
• /
• 2009

Safety of workers and productivity in construction site are affected according to the conflict status of work spaces which are performed at a time. The interference among the work spaces in construction site should be minimized because it becomes a blocking factor that causes construction delay and low productivity. Those factors can be managed by reasonable H&S (Health & Safety) practice. This research suggests the requirements of H&S practice and rules to establish the strategy of H&S management based on the literature reviews related to H&S rule. The suggested H&S rule can be visualized for searching space conflict point if the rule is linked with visual simulation tool. Accordingly the research results can be used for improving and visualizing construction productivity by work space control in 4D/nD CAD system.

• Korean Management Science Review
• /
• v.20 no.2
• /
• pp.17-31
• /
• 2003

A workflow management system is a software system to support accurate execution, control and management of business processes. It has been known that the system automatically executes complex processes and effectively manages them to improve the productivities. However though existing systems assure the automatic execution of an individual process, there is a room for enhancement from the view of efficient execution of all the processes. In this paper, we propose a method of executing business processes efficiently by introducing the PERT/CPM techniques in the workflow management systems. We first consider the differences between workflow process models and PERT/CPM models, and then develop a method of calculating the critical path and slack time in workflow processes. This leads us to develop a dispatching rule that can guide task performers to prioritize their tasks to increase the efficiency of ail the processes. We have carried out a set of simulation experiments and analyzed the results to demonstrate the effectiveness of the proposed method.

• Journal of the Korean Operations Research and Management Science Society
• /
• v.25 no.4
• /
• pp.81-95
• /
• 2000

A knowledge-based system with fuzzy production rules is a representation of static knowledge of an expert. On the other hand, a real system such as the stock market is dynamic in nature. Therefore we need a strategy to reflect the dynamic nature of real system when we make inferences with a knowledge-based system. This paper proposes a strategy of dynamic inferencing for a knowledge-based system with fuzzy production rules. The strategy suggested in this paper applies weights of attributes of conditions of a rule in the knowledge-base. A degree of match(DM) between actual input information and a condition of a rule is represented by a value [0,1]. Weights of relative importance of attributes in a rule are obtained by AHP(Analytic Hierarcy Process) method. Then these weights are applied as exponents for the DM, and the DMs in a rule are combined, with MIN operator, into a single DM for the rule. In this way, overall DM for a rule changes depending on the importance of attributes of the rule. As a result, the dynamic nature of a real system can be incorporated in an inference with fuzzy production rules.

• Journal of the Korean Operations Research and Management Science Society
• /
• v.30 no.2
• /
• pp.185-199
• /
• 2005

With the growth of internet shopping malls, there is increasing interest in comparison shopping mall. However most comparison sites compare only book prices by collecting simple XML data and do not provide .the exact comparison Including precise shipping costs. Shipping costs vary depending on each customer's address, the delivery method, and the category of selected goods, so rule based system is required in order to calculate exact shipping costs. Therefore, we designed and implemented comparison shopping mall which compares not only book prices but also shipping costs using rule based inference. By adopting the extensible Rule Markup language (XRML) approach, we proposed the methodology of extracting delivery rules from Web pages of each shopping mall. The XRML approach can facilitate nearly automatic rule extraction from Web pages and consistency maintenance between Web pages and rule base. We developed a ConsiderD system which applies our rule acquisition methodology based on XRML. The objective of the ConsiderD system is to compare the exact total cost of books including the delivery cost over Amazon.com, BarnesandNoble.com, and Powells.com. With this prototype, we conducted an experiment to show the potential of automatic rule acquisition from Web pages and illustrate the effect of delivery cost.