• Proceedings of the KIEE Conference
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• 2003.07d
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• pp.2624-2626
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• 2003

TRS 무선망은 셀룰라 시스템과 동일한 네트워크 교환 기술로서 다수의 기지국으로 배치된 광역의 서비스 시스템에 의해 그 내에서는 어디를 가더라도 교신이 가능하도록 되어 있다. TRS 시스템 설계에서 고려해야 하는 우선사항은 용량에 관한 설계이다. 예상된 가입자로부터 지역별 통화량을 조사와 가입자당 통화량을 조사한 후, 각 세부 구역별 통화량 값을 구한 다음 가용 주파수 대역과 가입자당 수용 가입자의 값으로부터 FA당 통화 용량 및 기지국 유형별 가입자 수용용량을 계산한다. 더불어 통화품질 수준을 고려하는 엔지니어링이 필요하게 된다. 본 논문은 TRS 무선망에서의 용량설계 연구내용의 일부로, 최종적인 채널용량을 산정함으로써 최종적 목표인 기지국 수/유형/용량을 결정하는 것을 목표로 한다.

• Journal of the Korean Institute of Intelligent Systems
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• v.16 no.5
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• pp.642-646
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• 2006

The fuzzy TAM(Topographical Attentive Mapping) network is a supervised method of pattern analysis which is composed of input layer, category layer, and output layer. But if we don't know the target value of the pattern, the network can not be trained. In this case, the target value can be replaced by a result induced by using an unsupervised neural network as the SOM (Self-organizing Map). In this paper, we apply the results of SOM to fuzzy TAM network and show its usefulness through the case study.

• Proceedings of the KSR Conference
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• 2009.05b
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• pp.191-198
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• 2009

There are almost no studies on verification of requirements for high speed rolling stocks by means of RAM goals and on setting RAM goals by means of verification on practical reliability, availability and maintainability for high speed rolling stocks though they are covered in specification of an order that RAM goals asked of rolling stocks are shown for gaining high quality of them and availability when they are in operation. This study is for estimating number of high speed train-sets that would be supplementarily placed an order through verification of RAM goals of a project for the introduction of KTX-II 100 cars. It verify that optimized requirements for high speed rolling stocks by relatively comparison with between requirements for train-sets through setting RAM goals and requirements for train-sets through analysis of prospects for management balance with high speed rolling stocks.

• Proceedings of the Korean Statistical Society Conference
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• 2002.11a
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• pp.227-230
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• 2002

표본의 크기가 작을 경우에 이항분포의 모수에 대한 신뢰구간을 구하는 대표적인 방법으로는 Clopper-Pearson 방법과 Blyth-Still 방법이 있다. Clopper-Pearson 방법에 의한 신뢰구간은 이항 모수가 포함되는 커버리지 확률이 목표로 하는 신뢰수준보다 상대적으로 크다는 문제점이 있다. Blyth-Still 방법은 이러한 문제점을 개선시켰다. 그러나, Blyth-Still에 의해서 표로 보고된 신뢰구간을 적용할 경우 표본의 크기와 이항 모수의 값에 따라서 커버리지 확률이 목표하는 신뢰수준보다 작은 경우가 발생한다. 그러나, 이는 Blyth-Still 방법 자체의 문제점이 아니며 단지 보고된 표의 유의한 소수점 자릿수와 관계가 있다. 본 논문은 Blyth-Still 방법에 의한 좀 더 정확한 신뢰구간을 제시한다.

• Journal of Korea Multimedia Society
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• v.7 no.4
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• pp.559-566
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• 2004

In general, the certainty factors of the fuzzy production rules and the certainty factors of fuzzy propositions appearing in the rules are represented by real values between zero and one. If it can allow the certainty factors of the fuzzy production rules and the certainty factors of fuzzy propositions to be represented by interval -valued fuzzy sets, then it can allow the reasoning of rule-based systems to perform fuzzy reasoning in more flexible manner. This paper presents fuzzy Petri nets and proposes an interval-valued fuzzy backward reasoning algorithm for rule-based systems based on fuzzy Petri nets Fuzzy Petri nets model the fuzzy production rules in the knowledge base of a rule-based system, where the certainty factors of the fuzzy propositions appearing in the fuzzy production rules and the certainty factors of the rules are represented by interval-valued fuzzy sets. The algorithm we proposed generates the backward reasoning path from the goal node to the initial nodes and then evaluates the certainty factor of the goal node. The proposed interval-valued fuzzy backward reasoning algorithm can allow the rule-based systems to perform fuzzy backward reasoning in a more flexible and human-like manner.

• Journal of the Earthquake Engineering Society of Korea
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• v.11 no.2 s.54
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• pp.39-45
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• 2007

In this study the probability and the reliability-based seismic performance evaluation procedure proposed in the FEMA-355F was applied to a reinforced concrete moment frame building. For the FEMA procedure, which was originally developed for steel moment frame structures, to be applied to other structural systems, the capacity should be re-defined and the factors reflecting the uncertainties related to capacity and demand need to be determined. To perform the evaluation procedure a prototype building was designed per IBC 2003, and inelastic dynamic analyses were conducted applying site-specific ground motions to determine the parameters for performance evaluation. According to the analysis results, distribution of the determined capacities turned out to be relative]y smaller than that of the demands, which showed that the defined capacity was reasonable. It was also shown that the prototype building satisfied the target performance since the determined confidence levels exceeded the otjectives for both local and global collapses.

• Journal of the Korea Computer Graphics Society
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• v.25 no.2
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• pp.19-29
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• 2019

We develop a complete system that includes data collection, signal processing, and real-time interaction for effective neurofeedback training. Our system supports a sophisticated technique to find threshold values which are quite important for effective neurofeedback system. A therapist specifies a target success rate of positive feedback, allowable error and time. The system computes a current success rate and compare it with the target one. If the difference between two rates exceeds the allowable error for allowable time, we find an optimum threshold value to obtain the target success rate by using numerical optimization technique. We conduct several experiments by varying input parameters: target success rate, allowable error and time, and demonstrate the effectiveness of our technique by showing the desired target success rate is stably obtained and systematically controlled by input parameters.

• Proceedings of the Korean Operations and Management Science Society Conference
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• 1999.10a
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• pp.19-19
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• 1999

• The Transactions of the Korea Information Processing Society
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• v.5 no.4
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• pp.951-958
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• 1998

In this paper, we propose a backward reasoning algorithm which can be utilized in the fuzzy Petri-net representation representing fuzzy production rules. The fuzzy Petri-net representation can be used to model a approximate reasoning system and implement a fuzzy inference engine. The proposed algorithm, which uses the proper belief evaluation functions according to fuzzy concepts in antecedentes and consequents of fuzzy production rules, is more closer to human intuition and reasoning than other methods. This algorithm generates the backward reasoning path from the goal to the initial nodes and evaluates the belief value of the goal node using belief evaluation functions.

• Korean Journal of Cognitive Science
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• v.10 no.4
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• pp.51-62
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• 1999

This paper proposes a fuzzy Petri net representation to represent the fuzzy production rules of a rule-based expert system. Based on the fuzzy Petri net representation. we present a fuzzy reasoning algorithms which consist of forward and b backward reasoning algorithm. The proposed algorithms. which use the proper belief evaluation functions according to fuzzy concepts in antecedent and consequent of a fuzzy production rule. are more closer to human intuition and reasoning than other methods. The forward reasoning algorithm can be represented by a reachability tree as a kind of finite directed tree. The backward reasoning algorithm generates the backward reasoning path from the goal to the initial nodes and then evaluates the belief value of the goal node using belief evaluation functions.