• Proceedings of the IEEK Conference
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• 2000.11b
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• pp.172-175
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• 2000

In this paper, we address the requirement of VHDL parser for design rule checker, and the structure and implementing method of design rule checker which checks if IP design is valuable to reuse. This checker builds the grammar trees from the design rules, and the internal graphs representation from IP design data. It maps the nodes of the grammar trees and the internal graphs to check if it violates the design rules. The design rule checker can do the cross reference between source codes and error messages to find error position easy.

• Journal of the Korea Society of Computer and Information
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• v.22 no.1
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• pp.23-32
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• 2017

We can obtain useful knowledge from data by using a subgroup discovery algorithm. Subgroup discovery is a rule model learning method that finds data subgroups containing specific information from data and expresses them in a rule form. Subgroups are meaningful as they account for a high percentage of total data and tend to differ significantly from the overall data. Subgroup is expressed with conjunction of only literals previously. So, the scope of the rules that can be derived from the learning process is limited. In this paper, we propose a method to increase expressiveness of rules through internal disjunctive representation of attribute values. Also, we analyze the characteristics of existing subgroup discovery algorithms and propose an improved algorithm that complements their defects and takes advantage of them. Experiments are conducted with the traffic accident data given from Busan metropolitan city. The results shows that performance of the proposed method is better than that of existing methods. Rule set learned by proposed method has interesting and general rules more.

• Journal of the Korean Society of Clothing and Textiles
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• v.26 no.9
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• pp.1378-1389
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• 2002

This study was to identify dimensions of subjective knowledge and to test the structural model of the effect of subjective knowledge on information search and evaluation rules for apparel products. A questionnaire was administered to 668 females living in Seoul, Taejon, and Cheongju, and the data were analysed by using LISREL 8. The results of this study were as follows: First, consumers' subjective knowledge regarding apparel products consisted of five factors; Style knowledge, Fashion Knowledge, Store Knowledge, Fabric/Management Knowledge, and Brand knowledge. Those factors were influenced by the experience related with apparel products. Second, the subjective knowledge influenced information searches. That is, internal search was significantly influenced by fashion knowledge and store knowledge, while external search was significantly influenced by fashion knowledge and fabric/management knowledge. Third, the subjective knowledge had indirect effects on evaluation rules via search activities (e.g., internal and external), suggesting that the internal search was mediated in relationship between subjective knowledge and compensatory rule, while the urtemal search was mediated in the relationship between subjective knowledge and noncompensatory rule. Therefore, this study implies that subjective knowledge plays an important role to explain consumers' decision making processes such as information search and evaluation.

• Journal of Biomedical Engineering Research
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• v.31 no.1
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• pp.40-49
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• 2010

A rule weight -based fuzzy classification model is proposed to analyze the patterns of admission-discharge of patients as a previous research for differential diagnosis of dyspnea. The proposed model is automatically generated from a labeled data set, supervised learning strategy, using three procedure methodology: i) select fuzzy partition regions from spatial distribution of data; ii) generate fuzzy membership functions from the selected partition regions; and iii) extract a set of candidate rules and resolve a conflict problem among the candidate rules. The effectiveness of the proposed fuzzy classification model was demonstrated by comparing the experimental results for the dyspnea patients' data set with 11 features selected from 55 features by clinicians with those obtained using the conventional classification methods, such as standard fuzzy classifier without rule weights, C4.5, QDA, kNN, and SVMs.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.18 no.3
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• pp.79-88
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• 2008

On the internet, the NIDS(Network Intrusion Detection System) has been widely deployed to protect the internal network. The NIDS builds a set of rules with analysis results on illegal packets and filters them using the rules, thus protecting the internal system. The number of rules is ever increasing as the attacks are becoming more widespread and well organized these days. As a result, the performance degradation has been found severe in the rule application fer the NIDS. In this paper, we propose a multiple pattern matching scheme to improve rule application performance. Then we compare our algorithm with Wu-Mantel algorithm which is known to do high performance multi-pattern matching.

• Journal of Korean Institute of Industrial Engineers
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• v.23 no.1
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• pp.197-213
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• 1997

It is not easy to find a good production schedule which can be used in practice. Therefore, production scheduling simulation with a simple dispatching rule or a set of dispatching rules is used. However, a simple dispatching rule may not create a robust schedule, for the same rule is blindly applied to all internal production processes. The presumption is that there might be a specific combination of appropriate rules that can improve the efficiency of a total production system for a certain type of orders. In order to acquire a better set of dispatching rules, simulation is used to examine the performance of various combinations of dispatching rule sets. There are innumerable combination of rule sets. Hence it takes too much computer simulation time to find a robust set of dispatching rule for a specific production system. Therefore, we propose a concept of the knowledge based simulation to circumvent the problem. The knowledge based simulation consists of knowledge bases, an inference engine and a simulator. The knowledge base is made of rule sets that is extracted from both simulation and human intuition obtained by the simulation studies. For a certain type of orders, the proposed system provides several sets of dispatching rules that are expected to generate better results. Then the scheduler tries to find the best by simulating all proposed set of rules with the simulator. The knowledge-based simulator armed with the acquired knowledge has produced improved solutions in terms of time and scheduling performance.

• Journal of Korean Traditional Oncology
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• v.13 no.1
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• pp.1-11
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• 2008

Objectives: To grasp the traditional stream of cancer treatment inherited from the previous doctors. Methods: The author's research has been performed cancer treatment based on JIJU(積聚) taking the original text as a reference. Results & Conclusion: The general three outlines and five detailed rules of cancer treatment have been obtained as follows. The first outline of cancer treatment is that reinforced vital function makes cancer reduce naturally. the second is that Harmless cancer can coexist in human beings and aging with them. and the third is that Elimination and reinforcing therapies should be executed in appropriate era and those therapies should utilize appropriate methods. The first detailed rule of cancer treatment is when using reinforcing therapy, it must applicate mildly and when using elimination therapy, it must applicate calmly. The second detailed rule is that the methods of cancer treatment are different from each cancer stage. The concentration should be made on reinforcing therapy at early stage while reinforcing and elimination therapies must be conducted together at middle stage. At terminal stage reinforcing therapy is the sole method to be taken. The third detailed rule is that the basis property of cancer drug is warm nature and extremely biased property should be avoided and when complication arises (eg. inflamatory disease, cancer fever, etc), cold or cool nature can be applied. The fourth detailed rule is that Cancer drug must have the effect eliminating the blood stasis, phlegm and excessive fluid, all together. The fifth detailed rule is that Physicians have to control patient's stress or stress related symptom and teach patients about right way of taking care of themselves and patients should take hygienic rules with their free will by themselves (eg diet, exercise, stress, etc)

• The Transactions of the Korean Institute of Electrical Engineers A
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• v.48 no.12
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• pp.1479-1485
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• 1999

This paper proposes a fuzzy decision making method for power transformer protection to identify an internal fault from other transient states such as inrush, over-excitation and an external fault with current transformer (CT) saturation. In this paper, analyzing over 300 EMTP simulations of disturbances, four input variables are selected and fuzzified. At every sampling interval from half to one cycle after a disturbance, from the EMPT simulations, different fuzzy rule base is composed of twelve if-then fuzzy rules associated with their basic probability assignments for singleton- or compound-support hypotheses. Dempster's rule of combination is used to process the fuzzy rules and get the final decision. A series of test results clearly indicate that the method can identify not only an internal fault but also the other transients. The average of relay operation times is about 12(ms). The proposed method is implemented into a Digital Signal Processor (TMS320C31) and tested.

• 제어로봇시스템학회:학술대회논문집
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• 1993.10a
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• pp.842-846
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• 1993

Because of complexity, neural network is difficult to learn. So if internal representation[1] can be performed successfully, it is possible to use perceptron learning rule. As a result, learning is easier. Therefore the method of internal representations applied to the "XOR" problem, and the "spirals" problem. And then using the above results, the structure of neural network for computing is embodied.mputing is embodied.

• Journal of Arbitration Studies
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• v.30 no.4
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• pp.163-177
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• 2020

There are several ways to implement charter parties in the operation of the vessel. Under the time charter party, the charterer borrows the vessel from the shipowner and uses the vessel to benefit his business. The time charter party's legal relationship can be divided into internal and external relationships. This article deals with an internal relationship. The legal matters between the shipowner and charterer are regulated by the agreement. The NYPE is the most widely circulated type of time charter party. According to the NYPE, navigational matters fall upon the shipowner while business matter falls upon the time charterer. There are vague parts in interpreting NYPE articles. NYPE Art. 8, called the employment clause, is one of them. The Master employed by the shipowner should follow the order of the charterer. Whether the charterer has the right to order the Master of the vessel to follow the navigating route recommended by him was addressed in the Hill Harmony case by the UK Supreme Court. The court was affirmative. Under the Ocean Victory case, whether the time charterer has an obligation to order the Master to go out to escape heavy weather from the berth at the port was at issue. The Japanese lower court decided negatively. There is a tendency that many countries insert default rule in the maritime law to apply it to the case at issue in a case where there is no agreement. It serves the enhancement of legal stability; China, Japan, and Germany are such countries. The author thinks that Korea should follow the above three countries' revision of their maritime law.