• Journal of Korea Society of Industrial Information Systems
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• v.28 no.4
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• pp.21-34
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• 2023

Federated Learning is divided into synchronous federated learning and asynchronous federated learning. Asynchronous federated learning has a time advantage over synchronous federated learning, but asynchronous federated learning still has some challenges to obtain better performance. In particular, preventing performance degradation in non-IID training datasets, selecting appropriate clients, and managing stale gradient information are important for improving model performance. In this paper, we deal with K-asynchronous federated learning by using non-IID datasets. In addition, unlike traditional method using static K, we proposed an algorithm that adaptively adjusts K and we can reduce the learning time. Additionally, the we show that model performance is improved by using stale gradient handling method. Finally, we use a method of judging model performance to obtain strong model stability. Experiment results show that overall algorithm can obtain advantages of reducing training time, improving model accuracy, and improving model stability.

• Information and Communications Magazine
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• v.22 no.12
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• pp.134-142
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• 2005

현재 인터넷전화 서비스는 SIP, H.323, MEGACO/H.248 등 다양한 신호 프로토콜이 존재하고, 인터넷 프로토콜도 IPv4와 IPv6가 혼재함에 따라 인터넷전화 구축에 따른 기술적 복잡성이 지속적으로 증대하고 있다. 이러한 기술적 복잡성으로 인해 인터넷전화 서비스의 상호운용성 및 안정성이 취약하고, 관리의 복잡성과 구축${\cdot}$관리비용도 증가하고 있다. 특히, 전자정부통신망 등의 공공분야에 VoIP 도입이 본격화됨에 따라 공공분야에서의 인터넷전화 상호운용성 및 안정성 확보는 매우 시급한 사안으로 대두되고 있다. 본 원고에서는 All-IP기반 네트워크의 핵심기술인 차세대인터넷(IPv6) 환경에서 공공분야의 인터넷전화 상호운용성 및 안정성을 확보하기 위한 VoIPv6 참조모델을 제안하고자 한다. 이 참조모델은 IPv6와 VoIP 분야 전문가 30 여명의 자문 및 문헌 검토를 통해 수립되었으며, 주요내용은 신호 프로토콜, 음성패킷전송기술, VoIP 음성코텍기술, VoIP 정보보호기술 및 서비스기술 등의 구성요소, 연계기술 및 서비스 품질 확보방안 등이다. 본 원고에서 제안하는 VoIPv6 참조모델은 정부${\cdot}$공공기관의 인터넷전화구축 지침 및 가이드라인으로 활용되어 이후 공공분야의 인터넷전화 구축 프로세스를 효율화하고, 나아가 공공분야의 인터넷전화 서비스 상호운용성 확보 및 서비스 품질 제고에 크게 기여할 것으로 기대된다.

• Journal of Digital Convergence
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• v.15 no.8
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• pp.391-400
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• 2017

The purpose of this paper is to present the effect of image stimulation on body stability as a conceptual model and to investigate the effect of image stimulus(2D, VR) on body stability(hand stability) through experiments Recently, stereoscopic images such as virtual and augmented reality are combined with smart phones and exercise equipments, and the diffusion is becoming active. The possibility of a safety accident or human error is also increasing as it temporarily affects the balance of the body and hand stability after the image stimulus is removed. The conceptual model is presented based on the results of previous studies. Based on the experimental results, the conceptual model has been explained in combination with the human information processing process and cognitive resource models that take place in the brain. Twenty subjects were exposed to 2D and VR stimuli, and display fatigue was measured by cybersickness questionnaire and hand stability by hand steadiness tester. Experimental results show that VR images induce higher display fatigue and lower hand stability than 2D. In this study, it is meaningful that hand stability according to image type and display fatigue level which have not been tried yet is revealed through conceptual model and experiment.

• Journal of the Institute of Electronics Engineers of Korea CI
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• v.41 no.3
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• pp.79-90
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• 2004

Systematical robust stability analysis and design scheme for the feedback linearization control systems via fuzzy modeling are proposed. It is considered that uncertainty and disturbances are included in the Takagi-Sugeno fuzzy models representing the nonlinear plants. Robust stability of the closed system is analyzed by casting the systems into the diagonal norm bounded linear differential inclusions and by converting the analysis and design problems into the linear matrix inequality optimization, a numerical method for finding the maximum stable ranges of the fuzzy feedback linearization control gains is also proposed. To verify the effectiveness of the proposed scheme, the robust stability analysis and control design examples are given.

• Journal of the Korean Society for Railway
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• v.14 no.1
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• pp.24-30
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• 2011

Conventional slope stability analysis is focused on calculating minimum factor of safety or maximum probability of failure. To minimize inherent uncertainty of soil properties and analytical model and to reflect various analytical models and its failure shape in slope stability analysis, slope stability analysis method considering simultaneous failure probability for multi failure mode was proposed. Linear programming recently introduced in system reliability analysis was used for calculation of simultaneous failure probability. System reliability analysis for various analytical models could be executed by this method. For application analysis for embankment, the results of this method shows that system stability of embankment calculate quantitatively.

• Proceedings of the Korean Institute of Navigation and Port Research Conference
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• 2011.11a
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• pp.8-9
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• 2011

본 논문에서는 수상 및 수중운동체의 안정성 및 안정화기법에 관해 고찰한다. 선박이 운동을 하게 되면 부가질량이 변하게 되고 대칭인 시스템행렬이 비대칭이 된다. 비대칭성에 따라 시스템의 안정성해석방법도 달라지는데 예를 들어 가속도 피드백을 통해 비대칭요소를 제거하여 대칭으로 변환시키는 것이 가장 대표적인 해석 및 안정화 기법이다. 시스템 모델자체는 어디까지나 모델이기 때문에 대상시스템을 명확하게 수식으로 표현할 수 없으므로 피드백에 의한 비대칭요소를 소거시키는 방법은 타당하지 못하다. 따라서 본 논문에서는 대칭행렬이 비대칭행렬로 변하는 제약에 구애받지 않는, 보다 일반성을 갖는 안정성해석법을 제안한다.

• Journal of the Korean Geotechnical Society
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• v.39 no.9
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• pp.13-24
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• 2023

To investigate the stability of temporary retaining walls during excavation, it is essential to develop reverse analysis technologies capable of precisely evaluating the properties of the ground and a learning model that can assess stability by analyzing real-time data. In this study, we targeted excavation sites where the C.I.P method was applied. We developed a Deep Neural Network (DNN) model capable of evaluating the stability of the retaining wall, and estimated the physical properties of the ground being excavated using a Differential Evolution Algorithm. We performed reverse analysis on a model composed of a two-layer ground for the applicability analysis of the Differential Evolution Algorithm. The results from this analysis allowed us to predict the properties of the ground, such as the elastic modulus, cohesion, and internal friction angle, with an accuracy of 97%. We analyzed 30,000 cases to construct the training data for the DNN model. We proposed stability evaluation grades for each assessment factor, including anchor axial force, uneven subsidence, wall displacement, and structural stability of the wall, and trained the data based on these factors. The application analysis of the trained DNN model showed that the model could predict the stability of the retaining wall with an average accuracy of over 94%, considering factors such as the axial force of the anchor, uneven subsidence, displacement of the wall, and structural stability of the wall.

• Korean Journal of Construction Engineering and Management
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• v.9 no.2
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• pp.190-198
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• 2008

Recently construction equipments have been used in line with building the structures that have become taller, larger and complex. And as the works at the elevated level for apartment and residential-commercial building projects have been on the rise, the number of tower cranes mobilized tends to be increased too. Due to such an increase in using the equipment serves the critical factor for the project management. The climbing-type tower crane, which increases its height following the structure, has been increased and the need for selecting the optimal model has been increasingly Important in securing the stability. The study hereby proposes the model to evaluate the stability of the climbing-type tower crane. The model was designed to assist in selecting the type of crane as well as in developing the design of Collar comprising the 3 types of support member, evaluating the stability and designing the embed. The model proposed is expected to make commitment in selecting the optimal type of equipment and evaluating the support member and embed for enhancing the stability, thereby ultimately enabling to implement the prefect in efficient way.

• Journal of the Korean Institute of Intelligent Systems
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• v.14 no.4
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• pp.481-486
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• 2004

The biped robot has the better mobility than the conventional wheeled robot. Since a biped robot tends to tip over easily, it is necessary to take stability into account when determining a walking pattern. To ensure the dynamic stability of the biped robot, we have to adapt the ground conditions with a foot motion and maintain motion, and ensure its stability through the kinematics and dynamics analysis. But its mathematic model is not too easy. In this paper, in order to ensure the dynamic stability of a biped robot, we design the fuzzy model and confirm the realization possibility of the proposed method through some simulations.

• Plant Journal
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• v.12 no.4
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• pp.44-50
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• 2016

To model the compression system with more integrity, the pipeline dynamic model was applied to the compression system model. To combine the pipeline dynamic model and the compression system model, appropriate boundary conditions were selected on each end of connecting pipe with compressor, plenum and throttle valve. Simulation result illustrate the effect of pipeline dynamic model on the stability of compression system.