• 제어로봇시스템학회:학술대회논문집
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• 제어로봇시스템학회 1996년도 한국자동제어학술회의논문집(국내학술편); 포항공과대학교, 포항; 24-26 Oct. 1996
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• pp.792-795
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• 1996

In TIG welding of pipe, back bead size monitoring is important for weld quality assurance. Many researches have been performed on estimation of the back bead size by heat conduction analysis. However numerical conduction model based on many uncertain thermal parameters causes remarkable errors and thermomechanical phenomena in molten pool can not be considered. In this paper, filler wire feeding force in addition to weld current, wire feedrate, torch travel speed and orbital position angle is monitored to estimate back bead size in orbital TIG welding. Monitored welding process variables are fed into an artificial neural network estimator which has been trained with the monitored process variables (input patterns) and actual back bead size (output patterns). Experimental verification of the proposed estimation method was performed. The predicted results are in a good agreement with the actual back bead shape. The results are quite promising in that estimation of invisible back bead shape can be achieved by analyzing the welding parameters without any conventional NDT of welds.

• 전기학회논문지
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• 제56권3호
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• pp.632-640
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• 2007

The low force estimation method of skeletal muscle was proposed by using ICA(independent component analysis) and neuro-transmission model. An EMG decomposition is the procedure by which the signal is classified into its constituent MUAP(motor unit action potential). The force index of electromyography was due to the generation of MUAP. To estimate low force, current analysis technique, such as RMS(root mean square) and MAV(mean absolute value), have not been shown to provide direct measures of the number and timing of motoneurons firing or their firing frequencies, but are used due to lack of other options. In this paper, the method based on ICA and chemical signal transmission mechanism from neuron to muscle was proposed. The force generation model consists of two linear, first-order low pass filters separated by a static non-linearity. The model takes a modulated IPI(inter pulse interval) as input and produces isometric force as output. Both the step and random train were applied to the neuro-transmission model. As a results, the ICA has shown remarkable enhancement by finding a hidden MAUP from the original superimposed EMG signal and estimating accurate IPI. And the proposed estimation technique shows good agreements with the low force measured comparing with RMS and MAV method to the input patterns.

• 한국산업보건학회지
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• 제28권2호
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• pp.190-199
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• 2018

Objectives: The purpose of this case study is to assess the current airflow and find the ideal ventilation conditions in tank reactors for minimizing the possibility of exposure respiratory dusts(size of $2.5{\mu}m$, $10{\mu}m$) when workers exchange catalysts in the tank reactors. Methods: A Numerical study was performed to determine ideal ventilation conditions, We considered two sizes of airborne respiratory particles($2.5{\mu}m$, $10{\mu}m$) at 12points from the bottom of tank reactor. We changed input & output ventilation conditions and analyzed the particle motion in the tank reactor. The star-ccm+, computational fluid dynamics tool was used to predict air & particle flow patterns in the tank reactor and a numerical simulation was achieved by applying the realized ${\kappa}-{\varepsilon}$ turbulence model and the Lagrangian particle tracking method. Results: From the results, the increase of recirculation air had a significant impact on removing dusts because they are removed by HEPA filter. To the contrary, Increasing the clean air quantity or changing the input position of clean air is not good for workers because it causes the exit of respiratory dusts through workers' entrance or cause it to remail suspended in the air in the workplace tank.

• 전력전자학회논문지
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• 제18권3호
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• pp.217-224
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• 2013

This paper presents a diagnostic method for a sparse matrix converter that detects faults in any single switch or a pair of switches. The sparse matrix converter is functionally equivalent to the standard matrix converter but has a reduced number of switches. The proposed diagnostic method is based in the measurement of input and output currents. The currents have respective characteristic according to the location of faulty switches. This method not only detects the switches of open-circuit fault but identifies the location of the faulty switching devices without complicated calculations. The simulation and experimental results verify that, based on the proposed method, the fault of sparse matrix converter can be easily and fast detected.

• 한국전자파학회:학술대회논문집
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• 한국전자파학회 2005년도 종합학술발표회 논문집 Vol.15 No.1
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• pp.289-292
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• 2005

Two planar inverted-F antenna (PIFA) arrays are proposed as an alternative model to generate input and radiation characteristics of two orthogonal oriented circular loops, which has polarization diversity, but inherent mechanical instability of two orthogonal loops, in particular, in installation and operation conditions. Two $1\times2$ PIFA sub-arrays are orthogonally placed on a ground plane and two different feeding networks are applied to control horizontal and vertical radiation current flows for each sub-array, respectively. Equivalence of scattering parameters and radiation patterns between two antennas are validated by the available commercial simulator.

• 제어로봇시스템학회:학술대회논문집
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• 제어로봇시스템학회 2005년도 ICCAS
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• pp.1020-1024
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• 2005

In this paper, an approach to dynamic systems control is addressed based on exploiting the potential features of the new nonlinear neural oscillator. Neural oscillators have recently enabled robots to exhibit natural dynamics using their robustness and entrainment properties. To technically accomplish this objective, the neural oscillator should be connected to the robot joints under the sensory feedback. This also requires the neural oscillator to adapt to the non-periodic nature of arbitrary input patterns. However, even in the most widely-used Matsuoka oscillator, when an unknown quasi-periodic or non-periodic signal is applied, its output signal is not always closely entrained. Therefore, current neural oscillators may not be applied to the precise control of the dynamic systems response. We illustrate the enhanced entrainment properties of the new neural oscillator by numerical simulation and show the possibility for implementation to control a variety of dynamic systems. It is verified that the oscillator can produce rhythmic signals for generating actuator signals which can be naturally modified by incorporating sensory feedback to adapt to outer circumstances.

• 대한의용생체공학회:의공학회지
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• 제33권1호
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• pp.15-24
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• 2012

Classification of human thought is an emerging research field that may allow us to understand human brain functions and further develop advanced brain-computer interface (BCI) systems. In the present study, we introduce a new approach to classify various mental states from noninvasive electrophysiological recordings of human brain activity. We utilized the full spatial and spectral information contained in the electroencephalography (EEG) signals recorded while a subject is performing a specific mental task. For this, the EEG data were converted into a 2D spatiospectral pattern map, of which each element was filled with 1, 0, and -1 reflecting the degrees of event-related synchronization (ERS) and event-related desynchronization (ERD). We evaluated the similarity between a current (input) 2D pattern map and the template pattern maps (database), by taking the inner-product of pattern matrices. Then, the current 2D pattern map was assigned to a class that demonstrated the highest similarity value. For the verification of our approach, eight participants took part in the present study; their EEG data were recorded while they performed four different cognitive imagery tasks. Consistent ERS/ERD patterns were observed more frequently between trials in the same class than those in different classes, indicating that these spatiospectral pattern maps could be used to classify different mental states. The classification accuracy was evaluated for each participant from both the proposed approach and a conventional mental state classification method based on the inter-hemispheric spectral power asymmetry, using the leave-one-out cross-validation (LOOCV). An average accuracy of 68.13% (${\pm}9.64%$) was attained for the proposed method; whereas an average accuracy of 57% (${\pm}5.68%$) was attained for the conventional method (significance was assessed by the one-tail paired $t$-test, $p$ < 0.01), showing that the proposed simple classification approach might be one of the promising methods in discriminating various mental states.

• 전기전자학회논문지
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• 제12권1호
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• pp.59-64
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• 2008

본 논문에서는 기존 산업분야에 사용되고 있는 제품을 대체 할 수 있는 효율적인 SMPS를 설계하고 구현하였다. 기존의 분산제어시스템에서 사용하고 있는 SMPS의 성능을 분석하기 위하여 입력전압 및 부하 변동에 따른 출력 값 변화, 리플전압과 잡음 전압의 최대값 등을 측정하고 분석하였다. 그 결과 기존의 SMPS는 스위칭 주파수가 17KHz로 가청잡음이 발생하며, 하나의 변압기로 전 출력을 인출하였고, 출력선로에 경보 로직 회로를 구성하고 있기 때문에 전류가 흐를 수 있는 동박면(Pattern)이 부족하고 잡음이 크게 발생하는 것을 확인하였다. 이런 문제를 해결하기 위해 본 논문에서는 스위칭 주파수를 70KHz로 높이고, 경보회로 부분과 PWM 제어회로 부분을 하위의 보드(Sub-board)로 처리하여 전류가 흐를 수 있는 동박면을 충분히 확보하였다. 그 결과 모든 설정 조건에서 기존의 SMPS보다 잡음이 32% 이하로 감소하며, 입력전압변동 및 부하변동 특성이 향상되는 것을 실험을 통해 확인할 수 있었다.

• Journal of Electrochemical Science and Technology
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• 제11권4호
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• pp.346-351
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• 2020

The removal characteristics of copper (Cu) from electrochemical surface by voltage-activated reaction were reviewed to assess the applicability of electrochemical-mechanical polishing (ECMP) process in three types of electrolytes, such as HNO₃, KNO₃ and NaNO₃. Electrochemical surface conditions such as active, passive, transient and trans-passive states were monitored from its current-voltage (I-V) characteristic curves obtained by linear sweep voltammetry (LSV) method. In addition, the oxidation and reduction process of the Cu surface by repetitive input of positive and negative voltages were evaluated from the I-V curve obtained using the cyclic voltammetry (CV) method. Finally, the X-ray diffraction (XRD) patterns and energy dispersive spectroscopy (EDS) analyses were used to observe the structural surface states of a Cu electrode. The electrochemical analyses proposed in this study will help to accurately control the material removal rate (MRR) from the actual ECMP process because they are a good methodology for predicting optimal electrochemical process parameters such as current density, operating voltage, and operating time before performing the ECMP process.

• 한국해양학회지:바다
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• 제18권4호
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• pp.234-265
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• 2013

중등학교 과학 및 지구과학 교과서의 해류도는 해양에 대한 학생들의 호기심과 관심을 유도하는 데 중요한 역할을 한다. 이 해류도들은 급변하는 기후변화와 지구상의 에너지 균형 문제와 관련이 있는 해류에 대해 학생들이 학습할 수 있는 중요한 기회를 제공할 수 있다. 그럼에도 불구하고 중등학교 교과서의 해류도들은 최근의 해류관련 과학적 지식과 비교해 볼 때 다양한 과학적 오류들을 내포하고 있었다. 이 연구는 오류가 없는 해류도를 제작하고 다양한 동해 해류도들을 하나로 통일하기 위하여 해류도 제작의 기본적인 틀과 방법을 제안하였다. 먼저 중등 과학교과서 27종의 해류도와 기존의 과학 연구 논문에서 제시한 주요 해류도 27개의 도법을 통일하였으며 동해의 난류와 한류들의 수치화된 정량적인 위치 정보를 추출하였다. 대한해협에서 대마난류의 분지 양상, 대마난류의 일본연안분지와 외해분지, 동한난류의 연안거리와 북상한계, 쓰가루해협, 소야해협을 통한 대마난류의 유출 양상과 환류, 리만한류와 북한한류의 분포 양상 등 해류도 제작을 위한 분석 항목들을 선정하였다. 해양 현장관측을 기반으로 형성된 해양학자들의 과학적 전문지식과 연구결과들을 활용하여 동해 해류도 초안을 제작한 후 이를 바탕으로 국내 학회 회원들을 대상으로 동해 해류도 초안에 대한 의견을 묻는 설문조사를 실시하였다. 또한 2013년 춘계 해양학회 특별세션을 기획하여 학회의 의견을 수집하였으며 해양학자들과의 수차례에 걸친 논의를 통하여 일련의 동해 해류도를 제작하고 수정하는 과정을 반복하였다. 최종적으로 해류도에 대한 학계 해류 전문가들의 평가와 의견을 모았으며 이를 최종해류도 제작을 위하여 해류도를 수정하는데 활용하였다. 향후 교과서 해류도 제작과정에서의 오류를 방지하기 위하여 완성된 동해 해류도 결과를 디지털화하여 위 경도 정보를 제시하였다. 이 연구는 황해와 북서태평양을 포함한 우리나라 주변해의 종합적인 해류도를 완성하기 위한 첫걸음이며 향후 중등학교 교과서 해류도 완성을 위한 해양학자들의 관심을 촉진하는 계기가 될 것으로 기대된다.