• 대한방사선치료학회지
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• 제31권2호
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• pp.65-74
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• 2019

목 적: 최근 Radixact^® X9에서는 치료테이블의 처짐을 방지하는 Catcher^TM가 추가되었다. 본 연구에서는 정확한 선량전달을 위한 토모테라피의 메가볼트 전산화단층촬영(MVCT) 영상유도방사선치료 시 Tomo-HDA^®의 General Couch와 Radixact^® X9의 Catcer^TM Couch의 치료테이블 처짐 정도를 팬텀을 이용하여 정량적으로 비교하고 그 유용성을 평가하고자 한다. 대상 및 방법: 팬텀연구를 위해 란도팬텀을 이용하였으며, 치료부위에 따른 변화를 위해 두경부와 골반부에 중심점을 설정하였다. 또한, 무게에 따른 변화를 위해 자체 제작한 저용융점납합금을 이용하였다. 납합금의 무게를 점차 증가시켜(A: 15kg, A+B: 30kg, A+B+C: 45kg) MVCT 영상을 획득하였으며, 수직오차 및 회전(Pitch)오차를 측정하였다. 환자연구를 위해 본원에서 토모테라피를 이용하여 방사선치료를 받은 120명의 환자를 선정하였다. Tomo-HDA^®과 Radixact^® X9에서 각각 60명씩 치료를 받았으며, 치료부위는 두경부와 골반부로 30명씩 분류하여 선정하였다. 환자연구 방법으로는 치료 첫 날 획득한 MVCT 영상의 척추를 기준으로 수직오차 및 회전(Pitch) 오차를 측정하여 평균값을 산출하였다. 결 과: 팬텀연구 결과 Tomo-HDA^®의 General Couch에서는 무게가 증가함에 따라 두경부와 골반부 모두 수직 및 회전(Pitch)오차가 비례하여 증가하였고, 두경부에서 최대 7.52mm, 0.38°, 골반부에서 최대 11.94mm, 0.92° 발생하였다. Radixact^® X9의 Catcher^TM Couch에서는 0.02~0.1mm, 0~0.04°의 오차범위가 발생하는 것을 확인할 수 있었다. 환자연구 결과 Radixact^® X9의 Catcher^TM Couch에서 두경부 4.79mm, 0.33°, 골반부 7.66mm, 0.22° 더 낮게 측정되었다. 결 론: 팬텀연구 결과 Tomo-HDA^®의 General Couch에서는 무게가 증가함에 따라 수직오차 및 회전(Pitch) 오차가 비례하여 증가하였으며, 특히 두경부보다는 골반부에서 더 많이 증가하였다. 하지만, 본 연구의 목적인 Radixact^® X9의 Catcher^TM Couch에서는 무게와 부위라는 변수상관 없이 일정한 오차가 발생하였다. 결론적으로 Catcher^TM Couch는 Couch 처짐이라는 Mechanical error를 최소화 할 수 있으며, 두경부보다는 골반부에서 더 유용하게 작용한다는 사실을 알 수 있었다. 토모테라피를 이용한 방사선치료 시 Radixact^® X9의 Catcher^TM Couch를 사용한다면 토모테라피의 특성상 보정할 수 없는 회전(Pitch)오차를 최소화하는데 기여할 수 있을 것이라고 사료된다.

• 한국우주과학회:학술대회논문집(한국우주과학회보)
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• 한국우주과학회 2004년도 한국우주과학회보 제13권2호
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• pp.278-280
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• 2004

GPS Navigation Solutions are used for operational orbit determination for the KOMPSAT-1 spacecraft. GPS point position data are definitely affected by systematic errors as well as noise. Indeed, the systematic error effects tend to be longer term since the GPS spacecrafts have periods of 12 hours. And then, the overlap method of determining orbit accuracy is always optimistic because of the presence of systematic errors with longer term effects. In this paper, we investigated the measurement noise and the system error for the KOMPSAT-l GPS Navigation Solutions. To assess orbit accuracy with this type of data, we use longer data arcs such as 5-7 days instead of 30 hour data arc. For this assessment, we should require much more attention to drag and solar radiation drag parameters or even general acceleration parameters in order to assess orbit accuracy with longer data arcs. Thus, the effects of the consideration of the drag, solar radiation drag, and general acceleration parameters were also investigated.

• 전자공학회논문지C
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• 제34C권11호
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• pp.95-103
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• 1997

A robust center estimation tecnique of n-fold engineering parts is presented, which use self-organizing neural networks with generating and merging learning for training neural units. To estimate the center of the n-fold engineering parts using neural networks, the segmented boundaries of the interested part are approximated to strainght lines, and the temporal estimated centers by thecosine theorem which formed between the approximaged straight line and the reference point, , are indexed as (.sigma.-.theta.) parameteric vecstors. Then the entries of parametric vectors are fed into self-organizing nerual network. Finally, the center of the n-fold part is extracted by mean of generating and merging learning of the neurons. To accelerate the learning process, neural network uses an adaptive learning rate function to the merging process and a self-adjusting activation to generating process. Simulation results show that the centers of n-fold engineering parts are effectively estimated by proposed technique, though not knowing the error distribution of estimated centers and having less information of boundaries.

• 한국환경과학회지
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• 제23권4호
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• pp.543-552
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• 2014

Fixed Electromagnetic Wave Surface Velocimetry (Fixed EWSV) has been started to be used to measure flood discharge in the mountain stream, since it has various advantages such that it works well to continuously measure stream discharge even in the night time as well as very strong weather. On the contrary, the Fixed EWSV only measures single point surface velocity, thus it does not consider varying feature of the transverse velocity profile in the given stream cross-section. In addition, a conventional value of 0.85 was generally used as the ratio for converting the measured surface velocity into the depth-averaged velocity. These aspects could bring in error for accurately measuring the stream discharge. The capacity of the EWSV for capturing rapid flow velocity was also not properly validated. This study aims at conducting error analysis of using the EWSV by: 1) measuring transverse velocity at multiple points along the cross-section to assess an error driven by the single point measurement; 2) figuring out ratio between surface velocity and the depth-averaged velocity based on the concurrent ADCP measurements; 3) validating the capacity of the EWSV for capturing rapid flow velocity. As results, the velocity measured near the center by the fixed EWSV overestimated about 15% of the cross-sectional mean velocity. The converting ratio from the surface velocity to the depth-averaged velocity was 0.8 rather than 0.85 of a conventional ratio. Finally, the EWSV revealed unstable velocity output when the flow velocity was higher than 2 m/s.

• 한국게임학회 논문지
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• 제19권1호
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• pp.5-14
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• 2019

본 논문에서는 두 타원체 사이의 중심 간 방향으로의 최단 근접 거리를 구하는 실용적인 방법을 제안한다. 이는 타원체로 근사한 강체 및 변형체의 물리기반 동적 시뮬레이션에서 타원체 사이의 충돌을 처리 하는 핵심 기술이다. 본 논문에서는 외부에서 접하는 두 타원체의 중심 간 거리와 접촉점 및 접촉방향에 관한 조건식을 세우고 고정점 반복법 및 Aitken의 델타 자승 절차를 이용하여 최단 근접 거리를 구하는 방법을 개발한다. 또한 실제 오차에 따른 종료 조건을 도입함으로써 게임 등의 실시간 응용에서 최단 근접 거리를 더욱 빠르게 구할 수 있게 한다. 다양한 실험을 통해 제안된 방법의 효율성 및 실용성을 보인다.

• 한국정밀공학회:학술대회논문집
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• 한국정밀공학회 1996년도 추계학술대회 논문집
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• pp.479-484
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• 1996

This paper describes a method of measuring tilt motion. This method measures the tilt motion of drilling machines using a laser interferometer, a simple sliding linear bearing, measurement of the probe and the LSC(least square center) method. The next order of business is discussing the procedure of measurement. First, The measured position is considered to be the point of contact between the drill shank and the probe. The revolution of the drill axis delivers the point of contact to the probe. Second, because the laser interferometer is attached on the sliding linear bearing, any movement of probe influences laser reflector. Thus, the laser program displays the moving factor of laser reflector. Namely, this is tilt factor. Third. the points of measurement are a full circle which has 8 points (each are 45$^{\circ}$), After it is finished measuring the 8 points, let the spindle of the drilling machine move down about 5 cm. Repeating this procedure three times, we can get tilt motion's values which are calculated by LSC method. Many error factors affect the accurate measurement of tilt motion. However in this paper we ignore some error factors because they are less significant than tilt motion.

• 한국수소및신에너지학회논문집
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• 제33권6호
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• pp.692-698
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• 2022

With the expansion of domestic hydrogen fuelling station infrastructure, it is necessary to secure reliability among hydrogen traders, and for this, technology to accurately measure hydrogen is important. In this study, 4 types of hydrogen trading volume calculation models (model 1-4) were presented to improve the accuracy of the hydrogen trading volume. In order to obtain the reference value of model 4, and experiment was conducted using a flow rate measurement equipment, and the error rate of the calculated value for each model was compared and analyzed. As a result, model 1 had the lowest metering accuracy, model 2 had the second highest metering accuracy and model 3 had the highest metering accuracy until a certain point. But after the point, model 2 had the highest metering accuracy and model 3 had the second metering accuracy.

• 시스템엔지니어링학술지
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• 제20권spc1호
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• pp.90-96
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• 2024

In this paper, we propose a technique to model high resolution seafloor topography with 1m intervals using actual water depth data near the east coast of the Korea with 1.6km distance intervals. Using a feature point extraction algorithm that harris corner based on deep learning, the location of the center of seafloor mountain was calculated and the surrounding topology was modeled. The modeled high-resolution seafloor topography based on deep learning was verified within 1.1m mean error between the actual warder dept data. And average error that result of calculating based on deep learning was reduced by 54.4% compared to the case that deep learning was not applied. The proposed algorithm is expected to generate high resolution underwater topology for the entire Korean peninsula and be used to establish a path plan for autonomous navigation of underwater vehicle.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제18권3호
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• pp.670-684
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• 2024

3D Cross-Modal Retrieval (3DCMR) is a task that retrieves 3D objects regardless of modalities, such as images, meshes, and point clouds. One of the most prominent methods used for 3DCMR is the Cross-Modal Center Loss Function (CLF) which applies the conventional center loss strategy for 3D cross-modal search and retrieval. Since CLF is based on center loss, the center features in CLF are also susceptible to subtle changes in hyperparameters and external inferences. For instance, performance degradation is observed when the batch size is too small. Furthermore, the Mean Squared Error (MSE) used in CLF is unable to adapt to changes in batch size and is vulnerable to data variations that occur during actual inference due to the use of simple Euclidean distance between multi-modal features. To address the problems that arise from small batch training, we propose a Noisy Center Loss (NCL) method to estimate the optimal center features. In addition, we apply the simple Siamese representation learning method (SimSiam) during optimal center feature estimation to compare projected features, making the proposed method robust to changes in batch size and variations in data. As a result, the proposed approach demonstrates improved performance in ModelNet40 dataset compared to the conventional methods.

• 한국축산시설환경학회지
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• 제8권3호
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• pp.165-170
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• 2002

This study was carried out to measure the 3D-distance of a cow model teat for an application possibility on Robotic Milking System(RMS). A teat recognition algorithm was made to find 3D-distance of the model by using Gonzalrez's theory. Some of the results are as follows. 1 . In the distance measurement experiment on the test board, as the measured length, and the length between the center of image surface and the measured image point became longer, their error values increased. 2. The model teat was installed and measured the error value at the random position. The error value of X and Y coordinates was less than 5㎜, and that of Z coordinates was less than 20㎜. The error value increased as the distance of camera's increased. 3. The equation for distance information acquirement was satisfied with obtaining accurate distance that was necessary for a milking robot to trace teats, A teat recognition algorithm was recognized well four model cow teats. It's processing time was about 1 second. It appeared that a teat recognition algorithm could be used to determine the 3D-distance of the cow teat to develop a RMS.