• Proceedings of the Korea Water Resources Association Conference
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• 2019.05a
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• pp.29-29
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• 2019

급격한 도시화와 기후변화로 인한 자연적인 물순환 구조의 변화는 기존 수자원 이용 경향을 변화시키며 하천건천화 현상을 유발하고 있다. 이를 관리하기 위해 하천건천화 평가 및 예측이 가능한 영향 평가 기술이 필요하며, 국내에서는 GIS 기반의 분포형 수문 모형인 Drying Stream Assessment Tool and Water Flow Tracking (DrySAT-WFT)이 개발되어 활용되고 있다. 그러나 격자기반의 물수지 모형은 단위 cell 안의 수직적인 물의 거동은 파악하기 용이하나, 모형의 특성상 저수지, 댐, 보와 같은 수리 시설물의 방류량에 따른 하도의 흐름 추적에는 어려움이 있다. 본 연구의 목적은 DrySAT-WFT 모형에 댐?보 방류량 자료와 연계한 하도추적 알고리즘을 개발하여 모형의 유출 모의 성능을 개선하고, 1976년부터 2015년까지의 유출 모의를 통해 전국 표준유역을 대상으로 각 유역에 대한 하천건천화 원인 추적 및 평가를 수행하고자 한다. 하천건천화영향요소를 고려하기 위한 모형의 입력 자료로 산림높이, 도로망, 지하수 이용량, 토지이용, 토심, 기상 변화에 대해 1976년부터 2015년까지 구축한 시계열 전국 자료를 활용하였으며, 일별 강우량, 상대습도, 평균풍속, 평균 및 최고, 최저 기온, 일조시간의 기상자료를 구축하였다. 개선된 DrySAT-WFT 유출 모의 결과는 선행 연구와의 비교를 통해 모의 개선점을 정량적으로 제시하고자 한다.

• Smart Structures and Systems
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• v.18 no.3
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• pp.375-387
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• 2016

The classical Kalman filter (KF) can provide effective state estimation for structural identification and vibration control, but it is applicable only when external inputs are measured. So far, some studies of Kalman filter with unknown inputs (KF-UI) have been proposed. However, previous KF-UI approaches based solely on acceleration measurements are inherently unstable which leads to poor tracking and fictitious drifts in the identified structural displacements and unknown inputs in the presence of measurement noises. Moreover, it is necessary to have the measurements of acceleration responses at the locations where unknown inputs applied, i.e., with collocated acceleration measurements in these approaches. In this paper, it aims to extend the classical KF approach to circumvent the above limitations for general real time estimation of structural state and unknown inputs without using collocated acceleration measurements. Based on the scheme of the classical KF, an improved Kalman filter with unknown excitations (KF-UI) and without collocated acceleration measurements is derived. Then, data fusion of acceleration and displacement or strain measurements is used to prevent the drifts in the identified structural state and unknown inputs in real time. Such algorithm is not available in the literature. Some numerical examples are used to demonstrate the effectiveness of the proposed approach.

• Journal of the Korean Solar Energy Society
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• v.39 no.2
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• pp.1-9
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• 2019

In order to increase the power generation efficiency of the photovoltaic system, a new algorithm that can follow the maximum power point of the photovoltaic power generation system having nonlinear output characteristics is proposed. Conventional maximum power point tracking (MPPT) algorithms such as Perturbation and Observation (P&O) and InCond (Increment and Conductance) schemes can not find the global maximum power point at a plurality of pole points in the unmatched state of unbalanced PV modules. However, even if the global maximum power point is found at a plurality of pole points, the global maximum power that can not be the real maximum power by the photovoltaic generation system. In order to solve this problem, a few PV companies propose installing several small PV inverters instead of if big one. However, since this will require additional costs, we herein propose a Multi-MPPT system using individual 3-point MPPT to track true MPPT at a plurality of pole points in the unmatched state of unbalanced PV modules.

• Journal of Astronomy and Space Sciences
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• v.35 no.4
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• pp.295-308
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• 2018

In this study, orbit determination (OD) simulation for the Korea Pathfinder Lunar Orbiter (KPLO) was accomplished for investigation of the observational arc-length effect using a sequential estimation algorithm. A lunar polar orbit located at 100 km altitude and $90^{\circ}$ inclination was mainly considered for the KPLO mission operation phase. For measurement simulation and OD for KPLO, the Analytical Graphics Inc. Systems Tool Kit 11 and Orbit Determination Tool Kit 6 software were utilized. Three deep-space ground stations, including two deep space network (DSN) antennas and the Korea Deep Space Antenna, were configured for the OD simulation. To investigate the arc-length effect on OD, 60-hr, 48-hr, 24-hr, and 12-hr tracking data were prepared. Position uncertainty by error covariance and orbit overlap precision were used for OD performance evaluation. Additionally, orbit prediction (OP) accuracy was also assessed by the position difference between the estimated and true orbits. Finally, we concluded that the 48-hr-based OD strategy is suitable for effective flight dynamics operation of KPLO. This work suggests a useful guideline for the OD strategy of KPLO mission planning and operation during the nominal lunar orbits phase.

• Journal of Power Electronics
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• v.19 no.4
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• pp.835-845
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• 2019

This paper presents a robust-optimal control strategy to improve the output-voltage error-tracking and control capability of a DC-DC boost converter. The proposed strategy employs an optimized Fractional-order Proportional-Integral (FoPI) controller that serves to eliminate oscillations, overshoots, undershoots and steady-state fluctuations. In order to significantly improve the error convergence-rate during a transient response, the FoPI controller is augmented with a pre-stage nonlinear error-modulator. The modulator combines the variations in the error and error-derivative via the signed-distance method. Then it feeds the aggregated-signal to a smooth sigmoidal control surface constituting an optimized hyperbolic secant function. The error-derivative is evaluated by measuring the output-capacitor current in order to compensate the hysteresis effect rendered by the parasitic impedances. The resulting modulated-signal is fed to the FoPI controller. The fixed controller parameters are meta-heuristically selected via a Particle-Swarm-Optimization (PSO) algorithm. The proposed control scheme exhibits rapid transits with improved damping in its response which aids in efficiently rejecting external disturbances such as load-transients and input-fluctuations. The superior robustness and time-optimality of the proposed control strategy is validated via experimental results.

• Journal of IKEEE
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• v.23 no.3
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• pp.826-831
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• 2019

The stand-alone photovoltaic power systems are widely used for lighting equipment and CCTV. In order for these devices to be competitive, the life of power storage devices such as batteries is very important. The characteristic Hybrid supercapacitor is the high power density and long life. We have proposed a stand-alone photovoltaic power system that uses hybrid supercapacitor. The charge and discharge characteristics and the internal resistance of the hybrid capacitor were measured to configure the power converter. A stable maximum output point tracking control algorithm is proposed even with the change in solar radiation. In order to verify the validity of the proposed system, a prototype was fabricated and tested using a 18W hybrid capacitor and a 10W solar cell.

• Journal of Korea Multimedia Society
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• v.22 no.9
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• pp.1011-1019
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• 2019

In this paper, we propose a system that can more precisely identify and monitor the position of the tool used in the assembling workplace such as automobile production. The proposed positioning monitoring system is a combination of UWB communication module and MEMS IMU sensor. Since UWB does not need modulation and demodulation function and has low power density, UWB is widely used in indoor positioning field. However, it may cause positioning error due to errors in RF transmission and reception process, which may cause positioning accuracy. Therefore, in this paper, we propose an algorithm that uses IMU as an auxiliary means to compensate for errors that may occur in positioning using only UWB. The tag and anchor of UWB module measure the transmission / reception time by transmitting signals to each other and then estimate the distance between tag and anchor. The MEMS IMU sensor serves to provide positioning calibration information. The tag, which is a mobile node and attached to a moving tool, measures the three-dimensional position of the tool and transfers the coordinate data to the anchor. Thus, it is possible to confirm whether or not the specific tool is properly used according to the prescribed regulations.

• Proceedings of the Korean Society of Broadcast Engineers Conference
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• 2018.06a
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• pp.297-298
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• 2018

증강현실 콘텐츠에서 가려짐 표현은 사실감을 위한 필수적이다. 가려짐이란 가상 물체의 일부가 실제 사물에 의해서 가려져서 표현되는 것을 의미한다. 이는 카메라의 트래킹 정보와 함께 현재 관찰하고 있는 실제 세계의 3차원 스캔 정보를 같이 획득해야 한다. 카메라 트래킹이란 현재 카메라가 세상의 어디에 위치해있는지, 어떤 자세로 바라보고 있는지에 대한 정보를 실시간으로 획득하는 기술이다. 3차원 스캐닝이란 실제 물체를 이루는 모든 점들의 3차원 위치 관계를 파악하는 과정이다. 가상물체의 3차원 위치와 자세가 실제물체의 위치/자세와의 관계를 통해서 가상물체의 그려야할 부분과 그리지 말아야할 부분을 판단할 수 있다. 본 논문에서는 트래킹과 스캐닝을 동시에 처리하여 가려짐 표현이 가능한 증강현실용 트래킹 기술을 제안한다. 카메라 트래킹이 실내외에서도 제약없이 동작하기 위해서 스테레오 카메라를 활용하였다. 트래킹은 카메라 프레임간 특징점들의 상호 관계를 파악하는 방법에 의해서 구하였다. 스테레오 카메라 이미징을 통해서 매 프레임마다 실세계의 3차원 깊이정보를 파악하게 되고, 이를 앞서구한 카메라 위치자세를 통해서 3차원 깊이 데이터를 병합하는 과정으로 스캐닝기술을 구현하였다.

• Journal of the Semiconductor & Display Technology
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• v.20 no.3
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• pp.1-5
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• 2021

Sleep apnea refers to a condition in which a person does not breathe during sleep, and is a dangerous symptom that blocks oxygen supply in the body, causing various complications, and the elderly and infants can die if severe. In this paper, we present an algorithm that classifies sleep breathing by analyzing the intensity of breathing with images alone in preparation for the risk of sleep apnea. Only the chest of the person being measured is set to the Region of Interest (ROI) to determine the breathing strength by the differential image within the corresponding ROI area. The adult was selected as the target of the measurement and the breathing strength was measured accurately, and the difference in breathing intensity was also distinguished using depth information. Two videos of sleeping babies also show that even microscopic breathing motions smaller than adults can be detected, which is also expected to help prevent infant death syndrome (SIDS).

• International Journal of Naval Architecture and Ocean Engineering
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• v.12 no.1
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• pp.314-324
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• 2020

Due to the nonlinearity and environmental uncertainties, the design of the ship's steering controller is a long-term challenge. The purpose of this study is to design an intelligent autopilot based on Extended Kalman Filter (EKF) trained Radial Basis Function Neural Network (RBFNN) control algorithm. The newly developed free running model scaled surface vessel was employed to execute the motion control experiments. After describing the design of the EKF trained RBFNN autopilot, the performances of the proposed control system were investigated by conducting experiments using the physical model on lake and simulations using the corresponding mathematical model. The results demonstrate that the developed control system is feasible to be used for the ship's motion control in the presences of environmental disturbances. Moreover, in comparison with the Back-Propagation (BP) neural networks and Proportional-Derivative (PD) based control methods, the EKF RBFNN based control method shows better performance regarding course keeping and trajectory tracking.