• Proceedings of the Korean Society for Noise and Vibration Engineering Conference
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• 2003.05a
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• pp.932-937
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• 2003

When oil pressure of damper is lost or relative stiffness of spring drops in vibration system, it can be fatally dangerous situation. A fault diagnosis method for vibration system using Support Vector Machine(SVM)is suggested in the paper. SVM is used to classify input data or applied to function regression. System status can be classified by judging input data based on optimal separable hyperplane obtained using SVM which learns normal and abnormal status. It is learned from the relationship of system state variables in term of spring, mass and damper. Normal and abnormal status are learned using phase plane as in put space, then the learned SVM is used to construct algorithm to predict the system status quantitatively

• Proceedings of the Korea Information Processing Society Conference
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• 2019.05a
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• pp.485-486
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• 2019

Simulated driving behavior is an important aspect of realistic simulation systems. To simulate natural driving behavior, this paper proposes an imitation learning method based on active learning that combines demonstration and experience. Driving demonstrations are collected from human drivers in a driving simulator. A driving behavior policy is learned from these demonstrations. The driving demonstration dataset is augmented with new demonstrations that the original demonstrations did not contain, in the form of behaviors from another driving behavior policy learned from experience. The final driving behavior policy is learned from an augmented demonstration dataset.

• Proceedings of the Korea Information Processing Society Conference
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• 2022.05a
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• pp.173-175
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• 2022

국방 각급 부대는 망연계 자료교환 시스템에 의해 인터넷과 국방망을 연계하여 데이터를 수집하고 있다. 또한, 안전한 국방 데이터수집과 빅데이터 환경조성을 위해 악성코드를 내재한 데이터들을 차단 및 분류하는 데이터 검열을 수행한다. 그러나 수집되는 데이터들이 새로운 악성코드를 내재할 경우, 현재 운용되고 있는 국방 시스템으로 식별하는 것이 불가능하여 외부로부터의 보안위협이 존재한다. 따라서 본 논문에서는 새로운 악성코드 위협에도 대응할 수 있는 Learned MAPE-K 기반 자료교환 시스템을 제안한다.

• Korean Journal of Construction Engineering and Management
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• v.22 no.5
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• pp.39-47
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• 2021

As domestic construction companies, which used to be concentrated in the Middle East, have expanded their overseas orders to new markets in Asia and Latin America, they have to cope with various conditions. The EPC plant project, which undertakes construction projects such as civil engineering and construction, design, purchase, construction and commissioning, has expanded its scope. As a result, it is important to collect Lessons Learned from the previous project, systematize it, and use it to respond to changes in the environment. However, many employees do not share their skills or experiences voluntarily. To do so, it is necessary to create and systematize a culture that shares experience and technology. In order to understand and analyze the current situation, a questionnaire was conducted on the EPC project-related departments of construction companies implementing the EPC plant project. About 74% of the participants said Lessons Learned's collection and utilization helped. About 53% of the people who collected and registered actual cases and 39% of the people who had experience in preventing problems using cases were identified as employees' perception and utilization of Lessons Learned systems. Detailed analysis showed differences in workplace, duties, and rank. Through this study, the current status of Lessons Learned collection and utilization of EPC plant projects is understood, and the research on collection and utilization improvement is being carried out.

• Proceedings of the Korean Institute of Intelligent Systems Conference
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• 2000.11a
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• pp.163-167
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• 2000

The eligibility is used to solve the credit-assignment problem which is one of important problems in reinforcement learning. Conventional eligibilities which are accumulating eligibility and replacing eligibility make ineffective use of rewards acquired in learning process. Because only an executed action in a visited state is learned by these eligibilities. Thus, we propose a new eligibility, called the weighted eligibility with which not only an executed action but also neighboring actions in a visited state are to be learned. The fuzzy Q-learning algorithm using proposed eligibility is applied to a cart-pole balancing problem, which shows improvement of learning speed.

• Proceedings of the Korean Geotechical Society Conference
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• 2006.10a
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• pp.3-20
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• 2006

The following lessons have been learned from the application of reliability methods in the practice of geotechnical engineering: 1. Establishing Goals Is Important; 2. Mitigating Consequences Can Be Effective; 3. Performance Depends on Systems; 4. Physical Factors Are Important in Statistical Models; 5. Too Much and Too Little Conservatism Are Both Problems; 6. Value of Information Depends on Decision Making; and 7. Effective Communication Is Essential. While the potential for application of reliability methods in the future is unlimited, there are major needs related to each of these lessons that will have to be addressed in order to realize this potential.

• 제어로봇시스템학회:학술대회논문집
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• 1992.10a
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• pp.613-618
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• 1992

We propose a new control architecture which consists of a PI controller and a neural network(NN) controller connected together in parallel. This architecture is well adapted to a wide range of uncertainties and variations of systems. The NN controller is learned through weights of the emulator which identify the dynamic chracteristics of the systems. A performance evaluation level of two NN's decides automatically which controller of the two controllers will be used mainly. The PI controller operates mainly during learning phase of the NN controller whereas a good performance is obtained from the NN controller only, when the NN controller is learned sufficiently.

• Speech Sciences
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• v.5 no.2
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• pp.7-16
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• 1999

Starting as a poet, I learned about the sounds of words with David Abercrombie. Then, remembering my background in physics, I moved to studying acoustic phonetics and speech synthesis. From there I learned about psychology and how. to test perceptual theories. A meeting with a physiologist led to work on the use of the respiratory muscles in speech. Later I landed in Africa teaching English phonetics and learning about African languages. When I went to UCLA to set up a lab I was able to find bright students who helped make computer models of the vocal tract and taught me linguistic theory. And I was able to continue wandering around the world, describing the sounds of a wide range of languages.

• Proceedings of the Korean Powder Metallurgy Institute Conference
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• 2006.09b
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• pp.901-902
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• 2006

Powder forging has progressed in three decades through the stages of incubation, growth, and maturity, now accounting for 8% of the $5 B global PM market. In this presentation, a history of the technical development of powder forging will be recounted, from early failed attempts and misconceptions, through seminal academic and industrial research, to technical and commercial success. Discussion covers the contributions of government and industrial funding, fundamental knowledge development, and industrial champions for successful implementation. The focus is on lessons learned that may be beneficial to the transition of other technologies for the powder metallurgy industry.

• IEMEK Journal of Embedded Systems and Applications
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• v.15 no.6
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• pp.299-305
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• 2020

We have developed a scheduler that additionally consider network performance by extending the Kubernetes developed to manage lots of containers in cloud computing nodes. The network delay adapt characteristics of the compute nodes were learned during server operation and the learned results were utilized to develop placement algorithm by considering the existing measurement units, CPU, memory, and volume together, and it was confirmed that the low delay network service was provided through placement algorithm.