• The Journal of Korean Institute of Electromagnetic Engineering and Science
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• v.18 no.3 s.118
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• pp.334-340
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• 2007

The prediction for vegetation attenuation using the RET model recommended in the ITU-R requires six RET input parameters. Among these, 4 parameters are related to the scattering characteristics of vegetation. To extract these parameters, two methods can be used. One is to extract the parameters by curve fitting of the measured vegetation-attenuation curve with the RET prediction model, and the other is to use the additional phase function measurement data. In the former method, fitting is quite complex and it does not result in the unique results in some cases. In addition, the extracted parameters lack the physical meaning as well. Thus, in this paper, the measurement method of phase function, and the method of extracting the RET model parameters which lead to more accurate and physically more meaningful results are presented. The extracted RET model parameters are also presented. The RET modeling method, measurement data, and the extracted RET model parameters presented in this paper were submitted to the ITU-R meeting in 2006, and adapted for ITU-R report and recommendation P.833.

• Geophysics and Geophysical Exploration
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• v.25 no.3
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• pp.99-108
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• 2022

Among induced polarization (IP) methods, spectral IP (SIP) uses alternating current as a transmission source to measure amplitudes and phase of complex electrical resistivity at each source frequency, which disperse with respect to source frequencies. The frequency dependence, which can be explained by a relaxation model such as Cole-Cole model or equivalent models, is analyzed to estimate SIP parameters from dispersion curves of complex resistivity employing multi-objective optimization (MOO). The estimation uses a generic algorithm to optimize two objective functions minimizing data misfits of amplitude and phase based on Cole-Cole model, which is most widely used to explain IP relaxation effects. The MOO-based estimation properly recovered Cole-Cole model parameters for synthetic examples but hardly fitted for the real laboratory measures ones, which have relatively smaller values of phases (less than about 10 mrad). Discrepancies between scales for data misfits of amplitude and phase, used as parameters of MOO method, and it is in necessity to employ other methods such as machine learning, which can deal with the discrepancies, to estimate SIP parameters from dispersion curves of complex resistivity.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.19 no.4
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• pp.99-104
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• 2019

It was proposed the use of an inducive element to measure the SOH of a secondary battery by phase response. As a result of simulating the Randles equivalent model of a secondary battery, the inductive element used as the load has a high response characteristic and increases the maximum phase response frequency band. In order to obtain the frequency band in which the phase response characteristic of the secondary battery is well observed, the phase response was measured with the change of the inductance value of the inductive element, 33uH,49mohm inductive element with the maximum phase response at 631Hz was used. The phase response measurements for secondary battery with different SOH showed that the phase response for each 20% of SOH showed a difference of about 3.8(degree), enabling the SOH diagnosis of secondary battery by the phase measurement for the inductive element.

• The Journal of the Acoustical Society of Korea
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• v.28 no.4
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• pp.328-335
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• 2009

Phase variance of the acoustic signals has to be investigated with the research of the medium, because the phase of the acoustic signals carries the information of the medium. The phase compensation of the received signals is required for the signal processing of SAS (Synthetic Aperture Sonar) and underwater communication. In this paper, the phase variance of the acoustic signals was studied depending on the micro-scale-turbulence of ocean. The turbulence strength of the locally isotropic and homogeneous turbulence was calculated, and the phase variance affected by the turbulence strength was computed along the ray paths. The CTD and ADCP data were acquired from a buoy system near the Mukho port in the East Sea of Korea and the ray paths were calculated by the Bellhop algorithm. As a result, the turbulence strength was mainly determined by the variation of temperature and flow speed, changing the phase variance of the received signals. Hence, we thought the phase variance should be considered in the sonar operating system.

• Spatial Information Research
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• v.22 no.2
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• pp.31-44
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• 2014

According to the purpose of applications, the application program will utilize the most suitable data model and 3D modeling data would be generated based on the selected data model. In these reasons, there are various data sets to represent the same geographical features. The duplicated data sets bring serious problems in system interoperability and data compatibility issues, as well in finance issues of geo-spatial information industries. In order to overcome the problems, this study proposes a spatial data fusion method using topological relationships among spatial objects in the feature classes, called Topological Relation Model (TRM). The TRM is a spatial data fusion method implemented in application-level, which means that the geometric data generated by two different data models are used directly without any data exchange or conversion processes in an application system to provide indoor LBSs. The topological relationships are defined and described by the basic concepts of IndoorGML. After describing the concepts of TRM, experimental implementations of the proposed data fusion method in 3D GIS are presented. In the final section, the limitations of this study and further research are summarized.

• Proceedings of the Korean Society of Precision Engineering Conference
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• 1993.10a
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• pp.681-686
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• 1993

솔리드 모델의 새로운 분야인 복합다양체 모델을 지원하는 자료구조중 Radial-edge 자료구조 Vertex-Based 자료구조, 부분면 자료구조에 대하여, 각각의 위상요소들을 살펴보고 그들의 차이점을 비교 검토하였다. 그 결과 각 자료 구조들은 각각 독특한 장점을 갖고 있음을 알 수 있었다. 즉 Radial-edge 자료구조는 자료의 저장성 및 알고리즘의 복잡성 등에서 무난한 편이며, 부분면 자료구조는 자료 저장공간 측면에서 유리하고, Vertex-based 자료구조는 꼭지점에서의 복합다양체 상황 표현이 가장 명확히 됨을알수 있었다. 이와 같은 복합다양체를 지원하는 자료구조들의 특징과 차이점의 분석을 통하여 복합다양체 모델의 개발을 위한 기초를 마련하였다.

• Proceedings of the Korean Society of Precision Engineering Conference
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• 1996.11a
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• pp.799-805
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• 1996

In many cases, the magnetic farce model is linearized at the origin in designing the controller of a magnetic bearing system. However. this linear assumption is violated by the unmodeled nonlinear effect such as sensor dislocation and backup bearing dislocation. Therefore, a direct probe into the nonlinear magnetic force model in an active magnetic bearing system is necessary. To analyze the nonlinear magnetic force model of a magnetic bearing system, phase plot analysis which is to plot the numerical solution of the nonlinear equation in several initial points in the interested region is applied. Phase plot analysis is used to observe a nonlinear dynamic system qualitatively (not quantitatively). With this method, we can get much useful information of the nonlinear system. Among this information, a bifurcation graph that represents stability and locations of fixed points is essential. From the bifurcation graph, a stability criterion of magnetic bearing system is derived.

• Proceedings of the Korean Information Science Society Conference
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• 2006.06b
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• pp.232-234
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• 2006

본 논문에서는 마르코프 결정 문제 (Markov decision problem)의 풀이 효율을 잴 수 있는 척도를 알아보기 위해 복잡계 네트워크 (complex network) 의 관점에서 MDP를 하나의 그래프로 나타내고, 그 그래프의 위상학적 성질들을 여러 네트워크 척도 (network measurements)들을 이용하여 측정하고 그 MDP의 풀이 효율과의 관계를 분석하였다. 실세계의 여러 문제들이 MDP로 표현될 수 있고, 모델이 알려진 경우에는 평가치 반복(value iteration)이나 모델이 알려지지 않은 경우에도 강화 학습(reinforcement learning) 알고리즘등을 사용하여 풀 수 있으나, 이들 알고리즘들은 시간 복잡도가 높아 크기가 큰 실세계 문제에 적용하기 쉽지 않다. 이 문제를 해결하기 위해 제안된 것이 MDP를 계층적으로 분할하거나, 여러 단계를 묶어서 수행하는 등의 시간적 추상화(temporal abstraction) 방법들이다. 시간적 추상화를 도입할 경우 MDP가 보다 효율적으로 풀리는 꼴로 바뀐다는 사실에 착안하여, MDP의 풀이 효율을 네트워크 척도를 이용하여 측정할 수 있는 여러 위상학적 성질들을 기반으로 분석하였다. 다양한 구조와 파라미터를 가진 MDP들을 사용해 네트워크 척도들과 MDP의 풀이 효율간의 관계를 분석해 본 결과, 네트워크 척도들 중 평균 측지 거리 (mean geodesic distance) 가 그 MDP의 풀이 효율을 결정하는 가장 중요한 기준이라는 사실을 알 수 있었다.

• Proceedings of the KIEE Conference
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• 2007.07a
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• pp.1738-1739
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• 2007

초음파 모터는 고정자와 회전자를 가압마찰하기 위해서 내부에 원형 판 스프링을 이용하고 있다. 출력 토크를 높이기 위해서 이러한 내부 스프링의 강도를 크게 하면 홀딩 토크 역시 커지게 된다. 이로 인하여 기동 시 많은 전류가 소모되며 일반적인 구동 파라미터에 따른 속도 특성 등 기존의 스프링 강도를 지닌 초음파모터(모델명 : 신생공업사(일) USR60-s1)의 특성과는 전혀 다른 특성을 보인다. 본 논문에서는 스프링이 강화된 새로운 타입의 초음파모터(모델명 : 신생공업사(일) USR60-s3)를 가지고 무부하 시의 속도 특성을 실험하였다. 이를 위해 FPGA를 이용해서 디지털 다중 초음파 모터 제어기를 설계하였고, 2상입력 전원의 주파수, 위상차, 주파수-위상차 다중 파라미터 등을 조절하면서 무부하 속도 특성을 측정하였다. 그 결과 홀딩토크가 강화된 초음파 모터의 경우 일반적인 기존 초음파 모터와 비교했을 때 전혀 다른 특성을 보이고, 위상차-주파수 다중 파라미터 조절방식이 조절방식임을 보인다.

• Journal of Energy Engineering
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• v.27 no.4
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• pp.13-19
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• 2018

In this study, the lightweight design of butterfly valve disc component for power plant based on topology optimization was performed. Here, commercial finite element (FE) analysis software was used. The external shape of the basic disc model was not deformed, and the internal element density was removed to make it lightweight. Optimal design was performed each other after the disc plate and two brackets attached on the surface of the disc were separated. Once the optimal shapes were selected, they were assembled to build up the 3-D lightweight valve disc model. After applying pressure to this model, FE analysis was performed to confirm the structural safety.