• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2016.10a
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• pp.700-702
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• 2016

The Doppler Radar that mounted on Electro Optical Tracking System has been operated to measure range and velocity during the initial mission of space launch vehicle at Naro space center. In this paper, we mentioned configuration of MFCW(Multi frequency Continuous Wave) and FMCW(Frequency Modulation Continuous Wave) Doppler Radar on Electro Optical Tracking System and described method of range measurement.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2014.05a
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• pp.400-401
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• 2014

본 논문에서는 이동 에드혹 네트워크(Mobile Ad hoc Network: MANET)에서의 상황인식 기반의 스케쥴링 기법인 DDV(Dynamic Direction Vector)-hop알고리즘을 제안한다. 기존 MANET에서는 노드의 이동성으로 인한 동적 네트워크 토폴리지, 네트워크 확장성 결여의 대한 취약성을 지니고 있다. 본 논문에서는 계층적 클러스터 단위의 동적인 토폴로지에서 노드가 이동하는 방향성 및 속도에 대한 노드의 이동 속성 정보를 고려하여 클러스터를 생성 및 유지하는 DDV-hop 알고리즘을 제안한다. 제안된 알고리즘은 클러스터 헤드노드를 기준으로 클러스터 멤버노드의 방향성 및 속도의 속성 정보를 비교하여 유사한 노드간 클러스터링을 구성하고, 이로부터 헤드노드를 선택하는 방법이다. 실험결과, 제안하는 알고리즘이 네트워크의 부하를 감소시키고 네트워크 토폴로지를 안정적으로 유지할 수 있음을 확인하였다.

• Annual Conference of KIPS
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• 2013.11a
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• pp.936-938
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• 2013

늘어나는 항공 수요의 증가로 인하여 항공 트래픽은 날로 증가하고 있으며, 이에 따라 항공기의 사고 가능성이 점차 늘어나고 있다. 항공기를 안전하게 관제하기 위하여는 항공기의 향후 이동 경로와 그때의 고도와 속도, 예상 도착 시간을 사전에 연산하는 궤도 모델링 기법이 필수적으로 요구되고 있다. 이에 본 논문에서는 궤도 모델링에 필수적으로 사용되는 항공기의 이동 속도와 그때의 고도 계산 알고리즘을 제안하고 환경 파라미터의 변화에 따라 이동 속도가 변경됨을 확인하였다.

• Journal of Drive and Control
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• v.20 no.1
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• pp.27-33
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• 2023

From the perspective of dental chair manufacturers, it is important to of localizing hydraulic system in order to secure market competitiveness. This study aims to develop the analysis model of a dental chair which overseas companies secure core technologies. The study follows the steps below. First, the component parts of the solenoid valve unit of a foreign leading company are analyzed and implemented in virtual environment. Second, dynamic behavior scenario is established based on solenoid valve signal chart provided by a foreign leading company. The analysis model is verified and its performance is analyzed using dynamic behavior according to each scenario. Third, a simulation is carried out to determine whether the cylinder velocity of designed hydraulic system surpasses 1cm/s as required by the design.

• The Journal of Korea Robotics Society
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• v.18 no.3
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• pp.260-270
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• 2023

We introduce a novel Visual Inertial Odometry (VIO) algorithm designed to improve the performance of thermal-inertial odometry. Thermal infrared image, though advantageous for feature extraction in low-light conditions, typically suffers from a high noise level and significant information loss during the 8-bit conversion. Our algorithm overcomes these limitations by approximating a 14-bit raw pixel histogram into a Gaussian mixture model. The conversion method effectively emphasizes image regions where texture for visual tracking is abundant while reduces unnecessary background information. We incorporate the robust learning-based feature extraction and matching methods, SuperPoint and SuperGlue, and zero velocity detection module to further reduce the uncertainty of visual odometry. Tested across various datasets, the proposed algorithm shows improved performance compared to other state-of-the-art VIO algorithms, paving the way for robust thermal-inertial odometry.

• Computers and Concrete
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• v.30 no.5
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• pp.369-375
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• 2022

Current exertion reports the numerical analysis of boundary layer slip flow of Casson Nano fluid along a permeable cylinder that is stretching in exponential manner. The modeled PDEs are changed into nonlinear ODEs through appropriate nonlinear transformations. Numerical results are attained using a renowned numerical scheme shooting method with Runge-Kutta procedure of 6^th-order. Influential role of relevant parameters like Reynolds, suction, Casson fluid and slip parameters on velocity profile is investigated. The effect of influence of slip parameter γ on temperature profile is seen through graph. To ensure the authenticity of numerical procedure, outcomes of some special cases of present work are compared with published work and strong agreement is noticed.

• Proceedings of the Korean Society of Computer Information Conference
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• 2023.01a
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• pp.91-92
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• 2023

본 논문에서는 Yolov5와 Deepsort를 사용한 Tracking by detection을 구현하여 특정 영역을 통과하는 차량의 수를 집계하고, 각 차량의 추정속도를 계산하는 시스템을 구현한다. 실시간 객체 탐지 기능을 수행하는 Yolov5 모델의 학습에는 Kaggle의 개방 데이터인 '도요타 자동차 이미지'를 사용한다. 이미지 크기 640*640, 배치사이즈 16, Early stopping 플래그를 사용하여 학습했을때, Yolov5의 객체 탐지 성능은 정확도 98%, 정밀도 0.961, mAP 0.72을 보여주었다.

• Annual Conference of KIPS
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• 2023.05a
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• pp.555-557
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• 2023

해양의 영향을 많이 받는 우리나라의 지리적 특성상 해양 상황은 산업 및 생업과 밀접한 관계가 있다. OPEN API 를 이용하여 유향/유속, 조위등 해양 환경관련 실시간 시계열 데이터를 수집한 후 2 차원 공간에 표시하여 순환 신경망 모델을 이용하여 학습한다. 학습된 모델을 실제 데이터에 적용하여 파랑을 예측한다. 시계열의 성격이 있고 공간상에 표시할 수 있는 데이터라면 본 논문에서 제시한 체계를 통해 예측할 수 있을 것이라 예상한다.

• Journal of the Korean GEO-environmental Society
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• v.21 no.6
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• pp.5-11
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• 2020

Recently, due to the liquefaction caused by earthquakes in Pohang and surrounding areas, the importance of researches on the liquefaction assessment has increased. The possibility of liquefaction can be assessed using the geotechnical information. The cyclic resistance ratio (CRR) value used in the assessment of liquefaction can be determined by using the SPT-N values or shear wave velocity, V_s value. A study was conducted to compare the accuracy of the liquefaction assessment using these two types of geotechnical information, and concluded that the results using SPT-N values are more accurate than those using V_s values. The previous study speculated that the used V_s value was measured at a depth of 12 m uniformly without considering the critical depth of liquefaction. Therefore, 10 empirical equations that convert SPT-N values measured at critical depth of liquefaction into V_s values to confirm the validity of geotechnical information measured at 12 m points uniformly are used to assess the liquefaction possibility and the results were compared with the actual liquefaction results to confirm the accuracy. As a result, 7 out of 10 cases considering critical depth for liquefaction show higher accuracy than those not considered.

• Journal of Korea Society of Industrial Information Systems
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• v.27 no.6
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• pp.25-40
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• 2022

This study is about how the quality of M2M big data that provides real-time information affects users. Recently, there are many difficulties in acquiring and managing data because data types such as variety, data volume, and data velocity are changing rapidly and diversified. This not only leads to a decrease in data quality but also it can give a negative impact when making decisions using data. Generally, the quality of data is defined as 'suitability for use', which means that data quality must meet the expectations of user needs. Therefore, data providers need activities to improve data quality for this purpose, and the key is to identify data quality dimensions in each field where data is used and provide data suitable for the level of user needs. In this study, the relationship between the quality area of real-time M2M data used in the traffic information system and user satisfaction was analyzed. Research models and hypotheses were established to analyze the effects between variables related to M2M big data. In order to test the hypothesis, a causal relationship between the major factors was identified by conducting a survey and analyzing the data users.