• Proceedings of the Korean Information Science Society Conference
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• 2012.06b
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• pp.336-338
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• 2012

본 연구에서는 고차 데이터 분류를 위해 순차적 베이지만 샘플링 기반의 진화연산 기법을 이용한 하이퍼네트워크 모델의 학습 알고리즘을 제시한다. 제시하는 방법에서는 모델의 조건부 확률의 사후(posterior) 분포를 최대화하도록 학습이 진행된다. 이를 위해 사전(prior) 분포를 문제와 관련된 사전지식(prior knowledge) 및 모델 복잡도(model complexity)로 정의하고, 측정된 모델의 분류성능을 우도(likelihood)로 사 용하며, 측정된 사전분포와 우도를 이용하여 모델의 적합도(fitness)를 정의한다. 이를 통해 하이퍼네트워크 모델은 고차원 데이터를 효율적으로 학습 가능할 뿐이 아니라 모델의 학습시간 및 분류성능이 개선될 수 있다. 또한 학습 시에 파라미터로 주어지던 하이퍼에지의 구성 및 모델의 크기가 학습과정 중에 적응적으로 결정될 수 있다. 제안하는 학습방법의 검증을 위해 본 논문에서는 약 25,000개의 유전자 발현정보 데이터셋에 대한 분류문제에 모델을 적용한다. 실험 결과를 통해 제시하는 방법이 기존 하이퍼네트워크 학습 방법 뿐 아니라 다른 모델들에 비해 우수한 분류 성능을 보여주는 것을 확인할 수 있다. 또한 다양한 실험을 통해 사전분포로 사용된 사전지식이 모델 학습에 끼치는 영향을 분석한다.

• Journal of the Institute of Convergence Signal Processing
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• v.2 no.2
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• pp.7-12
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• 2001

In this paper, an estimation method of hybrid feature was proposed to detect linear feature such as the road network from SAR(synthetics aperture radar) images that include speckle noise. First we considered the mean intensity ratio or the statistical properties of locality neighboring regions to detect linear feature of road. The responses of both methods are combined to detect the entire road network. The purpose of this paper is to extract the segments of road and to mutually connect them according to the identical intensity road from the locally detected fusing images. The algorithm proposed in this paper is to define MRF(markov random field) model of the priori knowledge on the roads and applied it to energy function of interacting density points, and to detect the road networks by optimizing the energy function.

• Journal of the Korean Institute of Intelligent Systems
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• v.9 no.6
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• pp.591-597
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• 1999

When fuzzy logic controllers which are designed based on plant models and intuitive base are applied to real plants, the control systems may not give satisfactory control results due to the modeling error and the lack of knowledge on the plants. In that case. the controller must be retuned by adjusting the control parameters; this retuning process may require a large number of trial-and-error evaluations and thus much time and cost. In order to resolve these problems, we propose a systematic and efficient procedure for designing a fuzzy logic controller using response surface methodology. First wc select the initial optimal conditions of control parameters using a genetic algorithm, in which a nominal plant model with intrinsic modeling errors is used. And then we determine the tinal optimal conditions of the control parameters using response surface methodology. Computer simulations are performed to verify the capability of the proposed method.

• The Journal of Asian Finance, Economics and Business
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• v.7 no.5
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• pp.217-224
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• 2020

This study investigates the impact levels of determinants on the Balanced Scorecard application in evaluating the performance of tourism firms in Hanoi. The tourism industry not only promotes economic development, but also contributes to expanding cultural exchanges and improving people's knowledge. However, Vietnam's tourism industry is under fierce competitive pressure, with the participation of foreign enterprises, with large amount of capital, high professionalism and wide network. The rivalry is happening aggressively on many aspects such as products and human resources. Therefore, tourism firms are in urgent needs of having effective methods to evaluate its performance in order to improve business and development efficiency. This study uses data of tourism firms in Hanoi during 2018-2019. The data used for analysis and regression consists of 135 observations. We use Cronbach's Alpha, EFA and regression model to learn the effect of different variables on the Balanced scorecard application in evaluating the performance. The results show that two determinants, including internal factors of tourism firms (IF) and external factors of tourism firms (EF) had positive relationships with the Balanced scorecard application in evaluating the performance. Based on the findings, recommendations are given for improving the Balanced scorecard application in evaluating the performance of tourism firms in Hanoi.

• Asian Journal of Business Environment
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• v.7 no.4
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• pp.11-15
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• 2017

Purpose - This study aims to provide a clue on which factors current managers and many more potential entrepreneurial applicants were required to concentrate on presenting effective research methods in the effects of purchasing companies' perception of service quality about suppliers of MRO industrial goods on the quality of relationships. Research design, data, and methodology - To accomplish the purpose of this study, we plan to conduct a research model with factors of MRO service quality as the leading variables and conduct a causal analysis using regression analysis on their influence relations. Results - In order to achieve the above purpose, it is necessary to select service quality factors suitable for the characteristics of MRO industrial goods supplier companies. And it is necessary to develop a plan for improving the relationship quality with buyer companies by understanding the sales orientation of MRO industrial goods supplier companies. Also, they develop a combined strategy capable of facilitating relationship quality by clarifying the role of rapport. Conclusions - It is expected that these results will provide strategic clues which service quality factors should be improved from the perspective of supplier companies and will provide various information on educational training sales skills of the sales staff.

• Journal of Engineering Education Research
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• v.23 no.1
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• pp.3-9
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• 2020

The purpose of the study was to develop the Arduino based STEAM instruction materials for creative engineering design class. PDIE model was used in this study. We developed a STEAM lesson plan and a STEAM lesson worksheet for a total of six sessions through the steps of preparation, development, implementation and evaluation. The validity of the instruction materials was evaluated by the 10 experts using a survey. The instruction materials were applied to the class (52 students attended) of the creative engineering designs unit in technology and home economics subject. The class satisfaction and the creative solving-problem ability were examined after the calss. The class satafacition was high as the average of 10 item was 4.57 (out of 5). The paired t-test was conducted to compare the means of the creative solving-problem ability. It was observed that 'understanding and mastery of knowledge, thought, function and skills in a specific domain', 'divergent thinking', 'critical and logical thinking' and ' motivational factors' were significantly increased after the class. The instruction materials develped in this study were successfully designed to enhance the creative solving-problem ability by designing creative tasks and to intrique the interest by adding visual and auditory stimuli with the Arduino.

• Proceedings of the Korean Information Science Society Conference
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• 2012.06b
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• pp.181-183
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• 2012

최근 자연어 및 정형언어 처리, 인공지능 알고리즘 등을 활용한 효율적인 의미 기반 지식모델의 생성과 분석 방법이 제시되고 있다. 이러한 의미 기반 지식모델은 효율적 의사결정트리(Decision Making Tree)와 특정 상황에 대한 체계적인 문제해결(Problem Solving) 경로 분석에 활용된다. 특히 다양한 복잡계 및 사회 연계망 분석에 있어 정적 지표 생성과 회귀 분석, 행위적 모델을 통한 추이분석, 거시예측을 지원하는 모의실험(Simulation) 모형의 기반이 된다. 본 연구에서는 이러한 의미 기반 지식모델을 통합에 있어 텍스트 마이닝을 통해 도출된 토픽(Topic) 모델 간 통합 방법과 정형적 알고리즘을 제시한다. 이를 위해 먼저, 텍스트 마이닝을 통해 도출되는 키워드 맵을 동치적 지식맵으로 변환하고 이를 의미적 지식모델로 통합하는 방법을 설명한다. 또한 키워드 맵으로부터 유의미한 토픽 맵을 투영하는 방법과 의미적 동치 모델을 유도하는 알고리즘을 제안한다. 통합된 의미 기반 지식모델은 토픽 간의 구조적 규칙과 정도 중심성, 근접 중심성, 매개 중심성 등 관계적 의미분석이 가능하며 대규모 비정형 문서의 의미 분석과 활용에 실질적인 기반 연구가 될 수 있다.

• Journal of Korean Physical Therapy Science
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• v.27 no.2
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• pp.36-47
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• 2020

Background: This study purposed to provide meaningful information for the accumulation of knowledge on coordinative locomotor training in patients with stroke. Design: Meta-analysis. Methods: This study collected articles which the coordinative locomotor training in patients with stroke. For systematic meta-analysis, 6 articles were finally selected after searching based on the PICOSD criteria. This meta-analysis was conducted according to PRISMA guidelines. Randomized controlled trials were included and the risk of bias was evaluated for each study. Pooled standardized mean differences were calculated using a random effects model. To extract the effect size of each study, the R 3.5.3 software was used. Results: The meta-analysis showed that a total effects size was 1.23 indicating that coordinative locomotor training for patients with stroke had a maximum effect size. Conclusion: A meta-analysis is warranted for further research to determine the effects of coordinative locomotor training in patients with stroke on muscle strength, walking and range of motion.

• Transactions of the Korean Society of Automotive Engineers
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• v.8 no.3
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• pp.181-189
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• 2000

The aerodynamic characteristics of large transport vehicle has become more and more important in recent vehicle design to improve driving performance in high speed cruising and raise the product valve with regard to a comfortable driving condition. Hence, detailed knowledge of the flow field around truck coner vane is essential to improve fuel efficiency and reduce the dirt contamination on vehicle body surface. In this study, three-dimensional flow characteristics around corner vane attached to truck cabin were computed for the steady, incompressible, and high speed viscous flow, adopting the RNG k-$\varepsilon$ turbulence model. In order to investigate the influence of configuration and structure of corner vane, computations were carried out for four cases at a high Reynolds number, Re=4.1$\times$106 (based on the cabin height). The global flow patterns, drag coefficient and the distributions such as velocity magnitude, turbulent kinetic energy around the corner vane, were examined. As a result of this study, we could identify the flow characteristics around corner vane for the variation of corner vane length and width. Also, suggest the improved structure to reduce the dirt contamination in cabin side.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.11 no.11
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• pp.5625-5641
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• 2017

Certificateless public key cryptography resolves the certificate management problem in traditional public key cryptography and the key escrow problem in identity-based cryptography. In recent years, some good results have been achieved in speeding up the computation of bilinear pairing. However, the computation cost of the pairing is much higher than that of the scalar multiplication over the elliptic curve group. Therefore, it is still significant to design cryptosystem without pairing operations. A multi-signer universal designated multi-verifier signature scheme allows a set of signers to cooperatively generate a public verifiable signature, the signature holder then can propose a new signature such that only the designated set of verifiers can verify it. Multi-signer universal designated multi-verifier signatures are suitable in many different practical applications such as electronic tenders, electronic voting and electronic auctions. In this paper, we propose a certificateless multi-signer universal designated multi-verifier signature scheme and prove the security in the random oracle model. Our scheme does not use pairing operation. To the best of our knowledge, our scheme is the first certificateless multi-signer universal designated multi-verifier signature scheme.