• 수산해양교육연구
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• 제28권6호
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• pp.1812-1821
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• 2016

The purpose of this study is to survey input data error of ship automatic identification system (AIS) and suggest its improvement. The effects of AIS were observed. Input data error of AIS was investigated by dividing it into dynamic data, static data by targeting actual ships and its improvement method was suggested. The findings are as follows. Looking into accidents before and after AIS is enforced to install on the ship, total collision were decreased after AIS installed. Static data error of AIS took place mainly in the case that ship name, call sign, MMSI, IMO number, ship type, location of antenna (ship length and width) were wrongly input or those data were not input initially. Dynamic data error of AIS was represented by input error of ship's heading. As errors of voyage related data take place as well, confusion is made in sailing or ship condition. Counter measures against the above are as follows. First, reliability of AIS data information should be improved. Second, incessant concern and management should be made on the navigation officers.

• 항공우주시스템공학회지
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• 제7권3호
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• pp.33-38
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• 2013

The air data measured from the static pressure, the dynamic pressure and etc. of an airplane is used for calculation of many flight parameters(altitude and airspeed and so on) and these values applied to flight safety and navigation flight. The pitot-static system of the development airplane is calibrated by finding of pitot-static system's error using tower fly-by, trailing cone method and etc. This paper is describing for the introduction of the trailing cone method and major items for test planning, preparation, operation and results for air data calibration flight test performed, considering efficiency and safety during KC-100 development project.

• 한국항공우주학회지
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• 제33권4호
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• pp.47-56
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• 2005

무인기의 INS/GPS/기압고도계 결합항법 시스템에서 수직채널감쇠루프를 사용하여 고도 오차를 보정할 때 비행 고도의 오차를 감소시키기 위해서 기압고도계의 정밀도를 향상시켜야한다. 피토정압관을 사용하여 기압 고도를 측정할 때 비행 속도와 자세 등의 변화에 따라 피토정압관 주위의 압력이 변하여 정압 오차에 의한 기압 고도의 오차를 유발한다. 정압 오차를 보정하기 위하여 풍동 시험과 CFD, 비행 시험 등의 자료를 이용하여 피토정압관 측정 압력의 변화를 분석하고 받음각과 비행 속도에 따른 압력 오차의 모델을 수립하였다. 비행 속도 변화에 의한 오차를 보정하기 위하여 피토정압관의 차압과 차압/정압 비를 사용한 두 가지 오차 모델에 대하여 압력 섭동에 대한 민감도 해석을 하였고 비행 시험에 적용하여 차압/정압 비를 사용한 모델이 고고도 비행 특성이 우수하다는 결론을 얻었다.

• 반도체디스플레이기술학회지
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• 제21권1호
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• pp.85-90
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• 2022

In this paper, an asynchronous nonvolatile memory module using a self-diagnosis function was designed. For the system to work, a lot of data must be input/output, and memory that can be stored is required. The volatile memory is fast, but data is erased without power, and the nonvolatile memory is slow, but data can be stored semi-permanently without power. The non-volatile static random-access memory is designed to solve these memory problems. However, the non-volatile static random-access memory is weak external noise or electrical shock, data can be some error. To solve these data errors, self-diagnosis algorithms were applied to non-volatile static random-access memory using error correction code, cyclic redundancy check 32 and data check sum to increase the reliability and accuracy of data retention. In addition, the possibility of application to an asynchronous non-volatile storage system requiring reliability was suggested.

• 제어로봇시스템학회논문지
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• 제6권1호
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• pp.51-56
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• 2000

This paper presents the characteristics of the dynamic response and calibration technique on a linear variable differential transformer(LVDT). The linear error of the LVDT was proven $\pm$1% in the static calibration and $\pm$0.5% in the dynamic calibration. In this paper, the linearity error generated in the static and dynamic state of the core movement can be eliminated using the correction algorithem of the static and dynamic state derived from the least square linear approximation for the nonlinearity of the curves of direct data fitting and Lagrange polynomials. With the static and dynamic calibration method, the calibration accuracy of the LVDT can be reduced to within $\pm{0.5%.}$.

• 한국BIM학회 논문집
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• 제10권2호
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• pp.21-28
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• 2020

As the number of aging bridges increases, more studies are being conducted on developing effective and reliable methods for the assessment and maintenance of bridges. With the advancement in new sensing systems and data learning techniques through AI technology, there is growing interests in how to evaluate bridges using these advanced techniques. This paper presents a CNN(Convolution Neural Network) deep learning based technique for evaluating the damage existence and for estimating the damage location in PSC bridges using static strain data. Simulation studies were conducted to investigate the proposed method with error analysis. Damage was simulated as the reduction in the stiffness of a finite element. A data learning model was constructed by applying the CNN technique as a type of deep learning. The damage status and its location were estimated using data set built through simulation. It was assumed that the strain gauges were installed in a regular interval under the PSC bridge girders. In order to increase the accuracy in evaluating damage, the squared error between the intact and measured strains are computed and applied for training the data model. Considering the damage occurring near the supports, the results of error analysis were compared according to whether strain data near the supports were included.

• 한국항공우주학회지
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• 제42권1호
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• pp.67-75
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• 2014

항우연에서는 복합재 소형항공기(KC-100)에 대하여 15가지 전기체 시험조건과 7개의 국부적 시험조건들에 대한 전기체 정적구조시험을 수행하였다. 시험요구도, 시험일정, 시험체 및 더미구조, 시험하중산출, 시험장치, 시험장비 등을 소개하였다. 수십개의 제어채널을 사용하는 전기체 구조시험의 하중제어의 정확도를 살펴보기 위하여 U1의 시험데이터를 분석하였다. 분석결과 각 채널별 데이터 획득된 하중값은 허용오차인 SNPE(Static null pacing error)값 이내에서 잘 유지하고 있음을 보였고 본 논문의 저자가 제안한 시험의 하중제어오차 크기 정의방법을 적용한 결과 U1 시험의 하중제어 오차값이 8.6N 이었고 나머지 전기체 시험조건들에 대한 시험데이터를 분석한 결과도 보였다. 마지막으로 U1시험에서 자세제어장치에서 측정된 반력들이 시험하중 증가와 함께 변하는 것을 보였고 전기체 구조시험에서 반력변화 발생의 요인들에 대하여 기술하였다.

• 한국공작기계학회:학술대회논문집
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• 한국공작기계학회 1998년도 추계학술대회 논문집
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• pp.204-209
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• 1998

The acceleration of the performance of machine tools influences the development of the semi-conductor and optical technology as the development of NC and measurement technology. We can mention that a traction role of the acceleration for the development like that depends on the development of the measurement technics Stylus instrument method, STM, SEM, Laser interferometer method which are used for measuring the quasi-static error of machine tools. Because the measurement has been done to unload condition without considering of mechanical stiffness in the case of machining center as we measure the quasi-static error of machine tools on general studies, people who works on the spot has many problems on the data value. Therefor we will help working more accurately on the spot by measuring, analyzing, displaying the deflection of the table and support shaft when we load on the table and the support shaft of machining center using laser interferometer. Also we try to settle new conception of the measurement method and more accurate grasp of the deflection tendency by verifing the tendency of the error measured through the comparison of the simulated error using ANSYS, a common finite element analysis program, which is able to measure heat deformation, material deformation, and error resulted form this study.

• International Journal of Contents
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• 제14권1호
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• pp.18-27
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• 2018

The objective of this study was to derive approximate closed-form error rates for M-ary burst symbol transmission (MBST) of dual-hop adaptive decode-and-forward (ADF) cooperative relay systems over quasi-static Rayleigh fading channels. Within a burst, there are pilot symbols and data symbols. Pilot symbols are used for channel estimation schemes and each relay node's transmission mode selection schemes. At first, our focus was on ADF relay systems' error-events at relay nodes. Each event's occurrence probability and probability density function (PDF) were then derived. With error-event based approach, we derived a tractable form of PDF for combined signal-to-noise ratio (SNR). Averaged error rates were then derived as approximate expressions for arbitrary link SNR with different modulation orders and numbers of relays. Its accuracy was verified by comparison with simulation results.

• 대한교통학회지
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• 제26권4호
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• pp.123-133
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• 2008

최근 교통 물류 분야에서도 유비쿼터스 환경의 정보수집체계 및 이를 응용한 서비스 개발의 필요성이 매년 높아지고 있다. 프로브 차량과 무선통신기술을 활용한 교통정보 수집체계는 그 대표적인 사례로 차량의 기종점 자료를 이용하여 시간대별 OD를 산정하는 것이 가능하다. 그러나 프로브 차량 정보를 활용하여 산정된 OD는 시간적 공간적으로 변동되는 표본OD이기 때문에 이를 정적OD로 전환하기 위해서는 수집정보를 집적하여 적정 표본율을 산정하고, 표본OD를 전수화하는 과정이 필요하다. 본 연구는 제주시를 대상으로 수집된 실제 데이터를 표본OD 산정 및 전수화 알고리즘에 적용하여 표본OD를 산정하고 이를 전수화하였다. 각 링크별 관측교통량과 배분교통량과의 오차를 비교 검토한 결과 링크별 관측교통량 과 배분교통량의 평균 오차율은 22.9%, 상 하위 10%의 이상 자료를 제거한 후의 평균 오차율은 17.6%로 각각 나타났다. 본 연구는 기존OD가 존재하지 않는 지역에서 프로브 차량의 경로정보를 활용하여 정적OD를 산정하였다는 점과 적정 오차율 내 수렴을 위한 적정 표본율을 제시하였다는 점에서 그 의의를 찾을 수 있다.