• The Transactions of the Korea Information Processing Society
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• v.4 no.4
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• pp.895-907
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• 1997

The mining of assciation rules disovers the trndency of events ocuring simultaneously in large databases. Previous announced research on association rules deals with associations with associations with respect to the whole transaction. However, xome association rules could have very high confidence in a sub-range of the time domain, even though they do not have quite high confidence in the whole time domain. Such kind of association rules are ecpected to be very usdful in various decion making problems.In this paper, we define transient association rule, as an association with high cimfidence worthy of special attention in a partial time interval, and propose an dfficeint algorithm wich finds out the time intervals appropriate to transient association rules from large-databases.We propose the data-driven retrival method excluding unecessary interval search, and design an effective data structure manageable in main memory obtined by one scanning of database, which offers the necessary information to next retrieval phase. In addition, our simulation shows that the suggested algorithm has reliable performance at the time cost acceptable in application areas.

• Journal of the Korean Institute of Intelligent Systems
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• v.14 no.4
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• pp.451-456
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• 2004

Signature based intrusion detection system (IDS), having stored rules for detecting intrusions at the library, judges whether new inputs are intrusion or not by matching them with the new inputs. However their policy has two restrictions generally. First, when they couldn't make rules against new intrusions, false negative (FN) errors may are taken place. Second, when they made a lot of rules for maintaining diversification, the amount of resources grows larger proportional to their amount. In this paper, we propose the learning algorithm which can evolve the competent of anomaly detectors having the ability to detect anomalous attacks by genetic algorithm. The anomaly detectors are the population be composed of by following the negative selection procedure of the biological immune system. To show the effectiveness of proposed system, we apply the learning algorithm to the artificial network environment, which is a computer security system.

• Journal of the Korean Institute of Intelligent Systems
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• v.22 no.4
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• pp.405-413
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• 2012

Low misclassification performance is significant with high classification accuracy for a reliable diagnosis of ECG signals, and diagnosing abnormal state as normal state can especially raises a deadly problem to a person in ECG test. In this paper, we propose detection and classification method of abnormal rhythm by rule-based rhythm classification reflecting clinical criteria for disease. Rule-based classification classifies rhythm types using rule-base for feature of rhythm section, and rule-base deduces decision results corresponding to professional materials of clinical and internal fields. Experimental results for the MIT-BIH arrhythmia database show that the applicability of proposed method is confirmed to classify rhythm types for normal sinus, paced, and various abnormal rhythms, especially without misclassification in detection aspect of abnormal rhythm.

• The Journal of Korea Institute of Information, Electronics, and Communication Technology
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• v.5 no.4
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• pp.224-231
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• 2012

In this paper, we introduce a fuzzy inference systems based on fuzzy c-means clustering algorithm for fuzzy modeling of nonlinear process. Typically, the generation of fuzzy rules for nonlinear processes have the problem that the number of fuzzy rules exponentially increases. To solve this problem, the fuzzy rules of fuzzy model are generated by partitioning the input space in the scatter form using FCM clustering algorithm. The premise parameters of the fuzzy rules are determined by membership matrix by means of FCM clustering algorithm. The consequence part of the rules is expressed in the form of polynomial functions and the coefficient parameters of each rule are determined by the standard least-squares method. And lastly, we evaluate the performance and the nonlinear characteristics using the data widely used in nonlinear process.

• Environmental and Resource Economics Review
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• v.31 no.4
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• pp.733-753
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• 2022

Korean government established the Nationally Determined Contribution (NDC) in 2015. After revising in 2019, the government updated an enhanced target at the end of last year. When the NDC is addressed, the emission targets of each sector, such as power generation, industry, and buildings, are also set. This paper analyzes the emission target of each sector by applying a claims problem or bankruptcy problem developed from cooperative game theory. The five allocation rules from a claims problem are introduced and the properties of each rule are considered axiomatically. This study applies the five rules on allocating carbon emission by sector under the NDC target and compares the results with the announced government target. For the power generation sector, the government target is set lower than the emissions allocated by the five rules. On the other hand, the government target for the industry sector is higher than the results of the five rules. In other sectors, the government's targets are similar to the results of the rule that allocates emissions in proportion to each claim.

• 주택과사람들
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• no.56 s.73
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• pp.4-4
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• 1996

• 식품위생정보
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• s.223
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• pp.4-4
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• 2009

• Journal of Korean Library and Information Science Society
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• v.41 no.2
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• pp.251-272
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• 2010

Resource Description and Access(RDA) was published in 2008, reflecting IFLA IME ICC's International Cataloguing Principles(ICP), conceptual model for cataloging of Functional Requirement for Bibliographic Records(FRBR), and conceptual model for authority data of Functional Requirement for Authority Data(FRAD). Therefore, new tags and fields have been added to MARC21 format, and researches about the prototype have been studied to implement FRBR as envisioned by the new RDA standard. According to the innovative international cataloging environments, KCR and KORMARC must be revised to accommodate RDA description. This study was to grasp occurrence rate of work and expression element of FRBR and RDA among MARC field of Hansung University library and to analyze limitation of MARC data for RDA. Based on this limitations, cataloging rules and tags and fields of KORMARC were suggested to accommodate RDA in national cataloging environment. This study reviewed cataloging rules such like representation, main entry and rule of three, preferred title, types of content, media and carrier. This study is to suggest the consideration of KCR and KORMARC for RDA in Korea.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.22 no.1
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• pp.94-103
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• 2021

The purpose of this study was to identify the association between regular physical activity (PA) types and metabolic syndrome (MetS) in fertile women. Data were obtained from the seventh Korea National Health and Nutrition Examination Survey (KNHANES VII-3, 2018). The sample consisted of 4,172 fertile women over 19 years of age. The data were analyzed using an independent t-test, χ2 test, and multiple logistic regression analysis for examining the association of regular PA and MetS. The prevalence of MetS in fertile women was 3.1% (n =128), and 1,972 fertile women (47.2%) practiced regular PA. Compared to the non-regular PA group, regular PA resulted in a significantly lower systolic blood pressure (p =.002), lower waist circumference (p <.001), lower fasting blood sugar (p =.007), and higher high-density lipoprotein cholesterol (p <.001). After controlling the confounding variables, multiple logistic regression showed that the regular PA group (odds ratio 0.59, 95% confidence interval 0.35-0.98, p =.040) and the regular muscle-strengthen PA group (odds ratio 0.34, 95% confidence interval 0.14-0.80, p =.013) were associated with a decreased risk of MetS. Therefore, regular PA, including muscle-strengthen PA should be considered to develop effective MetS intervention in fertile women.

• The Journal of the Korea institute of electronic communication sciences
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• v.6 no.4
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• pp.499-504
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• 2011

This paper propose the rule of coding for the characters and symbol, etc which are used in computer, information devices, etc. When they use the rule of coding, they may improve the efficiency of transmission in data communications by reducing the number of scrambling during the line coding in the coder in the transmitter. The paper considered the codes of one byte of 3bits column ${\times}$ 4bits rows. ASCII code is one of the representative code for the codes of one byte of 3bits column ${\times}$ 4bits rows. Therefore, this paper applied ASCII code to study the coding rule of the characters and symbols, etc.