• The KIPS Transactions:PartD
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• v.11D no.3
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• pp.741-746
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• 2004

As electronic commerce progresses, the temporal association rule is developed from partitioned data sets by time to offer personalized services for customer's interest. In this paper, we proposed a temporal association rule with exponential smoothing method that is giving higher weights to recent data than past data. Through simulation and case study, we confirmed that it is more precise than existing temporal association rules but consumes running time.

• The KIPS Transactions:PartD
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• v.11D no.3
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• pp.545-552
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• 2004

Association rules mining, which is one of data mining technologies, searches data among which are frequent and related to each other in database. But, although the data are not of frequent and rare in database, they have the enough worth of business information if the data ares important and strongly related to each other, In this paper, we propose the algorithm discovering association rules that consist of data, which are rare but, important and strongly related to each other in database. The proposed algorithm was evaluated through simulation. We found that the proposed algorithm discovered efficiently association rules among data, which are not frequent but, important.

• Journal of Information Technology Services
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• v.14 no.4
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• pp.45-60
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• 2015

Governments around the world invest in research and development (R&D) for different purposes : national economy, defence, environment, health, etc. as a means of national survival beyond the means of national competitiveness. These are usually programs with high social impact but low short-term economic impact or large scientific programs that are too expensive and risky for private sector investment alone. The Republic of Korea has also shown a very successful model of economic progress and social development through government R&D programs. However, there have been many corruption scandals behind it while selecting awardees for government R&D programs in Korea. So, the Republic of Korea focused on reforming appraisal system for government R&D and began preparation for "Clean Appraisal System" last year. In this study, first we analyzed the related appraisal tasks through the review of laws and administrative rules and typed appraisal tasks according to the flow of the actors and time. Thus securing the information infrastructure and finally we drew the conceptual model of the system according to an open appraisal tasks by introducing an element of the OECD on open government typed appraisal tasks.

• Industrial Engineering and Management Systems
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• v.2 no.1
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• pp.9-27
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• 2003

In a wafer fabrication factory, the completion time of an order is affected by many factors related to the specifics of the order and the status of the system, so is difficult to predict precisely. The level of influence of each factor on the order completion time may also depend on the production system characteristics, such as the rules for releasing and dispatching. This paper presents a method to identify those factors that significantly impact upon the order completion time under various combinations of scheduling rules. Computer simulations and statistical analyses were used to develop effective due date assignment models for improving the due date related performances. The first step of this research was to select the releasing and dispatching rules from those that were cited so frequently in related wafer fabrication factory researches. Simulation and statistical analyses were combined to identify the critical factors for predicting order completion time under various combinations of scheduling rules. In each combination of scheduling rules, two efficient due date assignment models were established by using the regression method for accurately predicting the order due date. Two due date assignment models, called the significant factor prediction model (SFM) and the key factor prediction model (KFM), are proposed to empirically compare the due date assignment rules widely used in practice. The simulation results indicate that SFM and KFM are superior to the other due date assignment rules. The releasing rule, dispatching rule and due date assignment rule have significant impacts on the due date related performances, with larger improvements coming from due date assignment and dispatching rules than from releasing rules.

• Proceedings of the KIEE Conference
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• 1987.07b
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• pp.1097-1099
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• 1987

This paper describes a method which detects the phrase and clause in Korean sentences. By analysing modificatory relation of modifier and modified word in Korean, two rules are defined. (1) The rules of phrase and clause. (2) The rules of separation points. As the result of this method, the conceptual units are easily elicited from the Korean sentence.

• Proceedings of the KIEE Conference
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• 2005.11b
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• pp.362-364
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• 2005

In abroad, thousands of generator testing were accomplished because of importance about generator stability parameters. But it was introduced TWBP and processing in Korea. In addition to, related rules of generator testing had been weaken. Without guidelines, practical uses are much limited. So, it studied compliance life cycle about generator facility parameters for stability analysis. This paper presents security scheme and working rules using generator testing and disturbance recordings, considering domestic circumstance.

• The KIPS Transactions:PartD
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• v.9D no.1
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• pp.21-30
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• 2002

The active database system introduces the active rules detecting specified state. As the condition evaluation of the active rules is performed every time an event occurs, the performance of the system has a great influence, depending on the conditions processing method. In this paper, we propose the conditions processing system with the preprocessor which determines the delta tree structure, constructs the classification tree, and generates the aggregate function table. Due to the characteristics of the active database through which the active rules can be comprehended beforehand, the preprocessor can be introduced. In this paper, the delta tree which can effectively process the join, selection operations, and the aggregate function is suggested, and it can enhance the condition evaluation performance. And we propose the classification tree which effectively processes the join operation and the aggregate function table processing the aggregate function which demands high cost. In this paper, the conditions processing system can be expected to enhance the performance of conditions processing in the active rules as the number of conditions comparison decreases because of the structure which is made in the preprocessor.

• Korean Journal of Social Welfare
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• v.46
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• pp.236-262
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• 2001

This discovery-oriented study explored 31 social workers' perceptions of discrepancies between explicit and implicit rules in their work places that are supposed to affect the quality of social work services, and identified eight categories of dilemmas: (a) confused accountability or purpose, (b) ambiguous principle, (c) improper authority, (d) confused role of social workers, (e) conflict between ideal and reality, (f) confused work ethics, (g) confused boundary of workers' rights, and (h) binds. These eight categories revealed the real philosophy and purposes of social work agencies, work ethics and values prevalent among social work agencies, agencies' orientation toward clients, and the conditions of social support from the society in large. Instead of searching for discrete variables as separately responsible for inefficient social work services, this approach probed malfunctioning implicit rules in a holistic context to see if inefficient or ineffective provision of social work services is a logical response to a much larger and deeper nexus. Insight into discrepant rules does not solely ensure the improvement of social work practice in the field, particularly if their identification is simply used as another opportunity to blame and avoid self-responsibility. However, such discrepancies between implicit and explicit rules are real enough to the staff workers and agency administrators that they may want to begin the dialogue of contradictory rules as a way of sanctioning discussion of previously forbidden topics. This study provided the ground-work for the dialogue.

• The KIPS Transactions:PartD
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• v.8D no.5
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• pp.513-522
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• 2001

Active database execute an action of active rule defined in advance which is triggered automatically, whenever an event with the matching event specifications occurs, its condition is evaluated. Because these rules may in turn trigger other rules, the set of rules may be triggered each other indefinitely, Therefore, we propose a termination analysis method to guarantee termination. This proposed method considers composite event as well as rule execution time. Above all, the method not only uses deactivation graph combined to trigger graph for exact analysis, but also improves the complexity of analysis. Also the proposed method enhances accuracy of analysis result.

• The KIPS Transactions:PartD
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• v.8D no.6
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• pp.823-834
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• 2001

In the active databases, whenever an event occurs, active rules with the matching event specifications are triggered automatically, its action will be executed. Because these rules may in turn trigger other rules including themselves, the set of rules may be executing each other indefinitely. These problem can be solved by rule termination analysis, and it is efficient for the rule termination to execute in compile time of rule. In this paper we not only design rule compiler with rule termination analyzer, but also propose its execution model and algorithm. The completeness of proposed model is verified by algorithm formalization of rule termination analysis.