• Journal of Power Electronics
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• 제13권6호
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• pp.1000-1007
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• 2013

This paper proposes a sliding-mode-based direct power control (DPC) method in a three-phase boost rectifier without the use of a voltage sensor. This sliding-mode-based DPC is used to improve transient-state response characteristics. This DPC can eliminate voltage sensors by calculating a voltage using a sensorless method, thus considerably reducing cost. This DPC first presents an effective algorithm that does not significantly affect the previous performance and does not need a voltage sensor. Thereafter, the effectiveness of the algorithm is verified by simulations and experiments.

• 대한전기학회:학술대회논문집
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• 대한전기학회 2001년도 하계학술대회 논문집 D
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• pp.1961-1963
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• 2001

In a target tracking problem, the radar glint noise has non-Gaussian heavy-tailed distribution and will seriously affect the target tracking performance. In this study, an extended robust $H_{\infty}$ was developed which can significantly improve the tracking performance when glint noise is present. Through the computer simulations, the proposed filter showed superior and robust tracking performance compared with other extended Kalman filters.

• 한국정보과학회:학술대회논문집
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• 한국정보과학회 2001년도 가을 학술발표논문집 Vol.28 No.2 (1)
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• pp.598-600
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• 2001

DNA chip technology enables us to monitor thousands of gene expressions per sample simultaneously. Typically, DNA microarray data has at least several thousands of variables (genes) wish relatively smal1 number of samples. Thus feature (gene) selection by dimensionality reduction is necessary for efficient data analysis. In this paper we employ the partial least squares (PLS) method for gene selection and the principal component analysis (PCA) method for classification. The useful behavior of the PLS is verified by computer simulations.

• International Journal of Computer Science & Network Security
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• 제22권2호
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• pp.131-138
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• 2022

Soft sensors are used to anticipate complicated model parameters using data from classifiers that are comparatively easy to gather. The goal of this study is to use artificial intelligence techniques to design and build soft sensors. The combination of a Long Short-Term Memory (LSTM) network and Grey Wolf Optimization (GWO) is used to create a unique soft sensor. LSTM is developed to tackle linear model with strong nonlinearity and unpredictability of manufacturing applications in the learning approach. GWO is used to accomplish input optimization technique for LSTM in order to reduce the model's inappropriate complication. The newly designed soft sensor originally brought LSTM's superior dynamic modeling with GWO's exact variable selection. The performance of our proposal is demonstrated using simulations on real-world datasets.

• Advances in nano research
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• 제13권2호
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• pp.135-146
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• 2022

The accurate assessment of the performance of nonuniform systems requires a thorough understanding of stability analysis. As a result, the theoretical modeling of the influence of various variables on the performance of small-scale nonuniform structures with conventional and non-conventional geometries is presented in this paper. According to the fundamental computer simulation based on mathematical and mechanical principles, the stability of the nonuniform structures is examined. Thus, a numerical procedure is used to simulate the stability and instability characteristics of the nonuniform small-scale structures via computer aid. Theoretic simulation methods provide a great deal of the design and production of small-scale structures at a low cost compared to experimental simulations. Thus, this paper provides a good presentation of the stability analysis of the nonuniform nanoscale structures with high accuracy without actual experimental.

• 한국컴퓨터그래픽스학회논문지
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• 제29권3호
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• pp.45-57
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• 2023

Unity is a powerful game engine that can be used to create 2D or 3D content. The current study focuses on the use of Unity for 3D computer animations, covering the strengths, basic concepts and tools for creating and integrating 3D animations in Unity, including the use of keyframe animation, animation controllers, and blend trees. Also covering advanced topics such as skeletal animation, procedural animation and their applications in games, simulations, and other interactive media. Case studies that showcase the potential of Unity for 3D animation will be analyzed and discussed taking in the quality of visuals and the receptance by the public in general.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제12권11호
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• pp.5218-5233
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• 2018

The coexisting wireless body area networks (WBAN) is a very challenging issue because of strong inter-networks interference, which seriously affects energy consumption and spectrum utilization ratio. In this paper, we study a power control strategy with nearest neighbor nodes distribution for coexisting WBAN based on stochastic geometry. Using homogeneous Poisson point processes (PPP) model, the relationship between the transmission power and the networks distribution is analytically derived to reduce interference to other devices. The goal of this paper is to increase the transmission success probability and throughput through power control strategy. In addition, we evaluate the area spectral efficiency simultaneously active WBAN in the same channel. Finally, extensive simulations are conducted to evaluate the power control algorithm.

• 한국전자파학회논문지
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• 제17권1호
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• pp.8-16
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• 2006

본 논문에서는 관심 주파수의 파장에 비하여 매우 섬세한 구조의 해석에 있어서 기존의 FDTD보다 효율적인 해석이 가능한 ADI-FDTD의 차분방정식 계산 방법에 대하여 연구하였다. 반복 구간에서 계산되는 서로 다른 계산 방법을 유도하고 두 개의 상보적인 2차원 문제를 해석하여 경계 조건의 적용 관점에서 그 특성을 논하였다.

• Nuclear Engineering and Technology
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• 제52권2호
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• pp.287-295
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• 2020

Group method of data handling (GMDH) is considered one of the earliest deep learning methods. Deep learning gained additional interest in today's applications due to its capability to handle complex and high dimensional problems. In this study, multi-layer GMDH networks are used to perform uncertainty quantification (UQ) and sensitivity analysis (SA) of nuclear reactor simulations. GMDH is utilized as a surrogate/metamodel to replace high fidelity computer models with cheap-to-evaluate surrogate models, which facilitate UQ and SA tasks (e.g. variance decomposition, uncertainty propagation, etc.). GMDH performance is validated through two UQ applications in reactor simulations: (1) low dimensional input space (two-phase flow in a reactor channel), and (2) high dimensional space (8-group homogenized cross-sections). In both applications, GMDH networks show very good performance with small mean absolute and squared errors as well as high accuracy in capturing the target variance. GMDH is utilized afterward to perform UQ tasks such as variance decomposition through Sobol indices, and GMDH-based uncertainty propagation with large number of samples. GMDH performance is also compared to other surrogates including Gaussian processes and polynomial chaos expansions. The comparison shows that GMDH has competitive performance with the other methods for the low dimensional problem, and reliable performance for the high dimensional problem.

• 전기전자학회논문지
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• 제4권2호
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• pp.202-211
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• 2000

회로 시뮬레이터인 SPICE를 이용하여 1.9GHz 대역의 CMOS up-conversion 믹서를 설계하였고, 회로 설계를 위한 시뮬레이션 과정을 소자 모델링을 포함하여 상세히 설명하였다. $0.5{\mu}m$ 표준 CMOS 공정을 이용하여 칩을 제작한 결과, 제작된 칩의 특성과 초기 시뮬레이션에 의해 예상되는 특성 사이에 큰 차이점이 발견되어 이에 대한 원인 분석을 시도하였다. 발견된 문제점들을 고려한 경우의 시뮬레이션을 통해 시도한 시뮬레이션 방법의 타당성을 증명하였고, 이러한 문제점들을 보완할 경우 사용한 표준 CMOS 공정으로도 GaAs MESFET 공정을 사용한 유사 칩의 특성에 근접하는 칩 특성의 구현이 가능함을 보였다.