• 대한치과기공학회지
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• 제36권3호
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• pp.149-158
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• 2014

Purpose: Dental casting Co-Cr-Mo based alloys of five kinds of ingot type and two kinds of shot type were analyzed the melting processes with heating time of high frequency induction centrifugal casting machine using infrared thermal image analyzer. Methods: When Co-Cr-Mo based alloys were put about 30g/charge in the ceramic crucible of high frequency induction centrifugal casting machine and heat, Infrared thermal image analyzer and IR thermometer indicated these alloys in the crucible were set and operated. Results: The melting temperatures of alloys measuring infrared thermal image analyzer were deviated ${\pm}10^{\circ}C$ compared to those of manufacturing company. On the other hand, the melting time of alloys were differently appeared with the shape of alloys(ingot and shot type). Conclusion: The melting temperatures of dental Co-Cr-Mo based alloys were measured the degree of $1,360{\sim}1410^{\circ}C$ and the heating time with the alloys of ingot and shot type were deviated ${\pm}10sec$.

• 생물환경조절학회지
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• 제6권1호
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• pp.55-65
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• 1997

본 연구는 육묘용 로봇 이식기를 개발하기 위한 목적으로 수행되었으며 그 결과는 다음과 같다. 1. 기계시각에 의한 결주 및 불량묘 판별은 72공 플러그묘판의 경우 98.8%, 128공의 플러그묘판의 경우 94.9%, 잎의 방향을 고려한 경우 72공의 플러그묘판의 경우 93.5%, 128공의 경우 91.0%의 정확도를 나타내었다. 2. 로봇 이식기의 기구부와 구동부를 개발하였고, 이를 제어하기 위한 제어기를 개발하였으며, 머니플레이터의 위치제어 정확도는 $\pm$ 1mm로 나타났다. 3. 잎의 방향을 고려하지 않은 이식방법에서의 이식성공률은 72공 플러그묘판의 경우 95.5%, 128공의 플러그묘판의 경우 94.5%로 나타났으며, 잎의 방향을 고려한 이식방법에서의 이식성공률은 72공의 경우 96.0%, 128공의 경우 95.0%로 나타났다.

• 대한치과기공학회지
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• 제40권1호
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• pp.1-8
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• 2018

Purpose: The purpose of this study is to evaluate the trueness and fitness of machined prostheses according to drill radius setting in CAD software. Methods: For this study, standard abutment were replicated in Type IV stone. The stone abutment were scanned using a dental scanner. The CAD design software was designed using scanned abutment data. When designing, the drill radius was set to 0.3 mm and 0 mm, respectively, and saved. The saved design data was milled using a milling machine (n=13). The inner surface of the milled crown was scanned. The trueness and fitness were measured using the inner scan data of prostheses. Independent t-tests were performed to identify significant differences in each data. Results: Trueness values of the data saved with 0.3 mm and 0 mm drill radius were $18.9{\pm}2.3{\mu}m$ and $19.1{\pm}0.9{\mu}m$, respectively. There was no statistically significant difference between the groups. Fitness values of the data saved with 0.3 mm and 0 mm drill radius were $65.5{\pm}0.8{\mu}m$ and $33.8{\pm}1.0{\mu}m$, respectively. There was a statistically significant difference between the groups (p<.05). Conclusion : Setting the drill radius is important to produce clinically good fit prostheses.

• 한국정보통신학회논문지
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• 제25권1호
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• pp.56-62
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• 2021

미세먼지 예보에 대한 높은 정확도가 요구됨에 따라 기계 학습의 알고리즘을 적용하여 예측 정확도를 높이려는 다양한 시도들이 이루어지고 있다. 그러나 미세먼지의 특성과 불균형적인 농도별 발생 비율에 대한 문제로 예측 모델의 학습 및 예측이 잘 이루어지지 않는다. 이러한 문제를 해결하기 위해 특정 농도를 기준으로 미세먼지를 저농도와 고농도로 구분하여 예측을 수행하는 등 다양한 연구가 진행되고 있다. 본 논문에서는 미세먼지 농도의 불균형 특성으로 인한 예측 성능 향상의 문제를 해결하기 위한 미세먼지 농도의 이진 분류 모델을 제안하였다. 분류 알고리즘 중 logistic regression, decision tree, SVM 및 MLP를 이용하여 PM10에 대한 이진분류 모델들을 설계하였다. 오차 행렬을 통해 성능을 비교한 결과, 4가지 모델 중 MLP 모델이 89.98%의 정확도로 가장 높은 이진 분류 성능을 보였다.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제14권2호
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• pp.907-923
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• 2020

For the severe haze situation in the Beijing-Tianjin-Hebei region, conventional fine particulate matter (PM2.5) concentration prediction methods based on pollutant data face problems such as incomplete data, which may lead to poor prediction performance. Therefore, this paper proposes a method of predicting the PM2.5 concentration based on image analysis technology that combines image data, which can reflect the original weather conditions, with currently popular machine learning methods. First, based on local parameter estimation, autoregressive (AR) model analysis and local estimation of the increase in image blur, we extract features from the weather images using an approach inspired by free energy and a no-reference robust metric model. Next, we compare the coefficient energy and contrast difference of each pixel in the AR model and then use the percentages to calculate the image sharpness to derive the overall mass fraction. Furthermore, the results are compared. The relationship between residual value and PM2.5 concentration is fitted by generalized Gauss distribution (GGD) model. Finally, nonlinear mapping is performed via the wavelet neural network (WNN) method to obtain the PM2.5 concentration. Experimental results obtained on real data show that the proposed method offers an improved prediction accuracy and lower root mean square error (RMSE).

• 한국수정란이식학회지
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• 제10권3호
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• pp.203-208
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• 1995

This study was carried out to efficiently use the ultrarapid freezing method in the cryopreservation of mouse ova. For this, the effects of dehydration method, oval vigour and $0^{\circ}C$ controlling method on post-thawing viability were investigated. Fresh mouse ova were dehydrated in mPBS with 3.5M DMSO and /or 0.25M sucrose, and directly immersed in L$N_2$ for ultrarapidly freezing. The frozen ova were thawed at 37$^{\circ}C$, rehydrated in mPBS with 0.25M sucrose, and then repeatedly washed in HAM's Fl0 before evaluating the morphological normality of frozen-thawed ova. The results obtained showed that there was difference between treatments in a experiment. 1) The post-thawing viability of ova dehydrated in multi-step (48.4$\pm$13.8%) was higher than that of ova in two-step (40.9$\pm$14.0%). 2) The post-thawing viability of fertilized ova (87$\pm$14.0%) was significantly(p<0.0l) higher than that of unfertilized ova (5.4$\pm$5.4%). 3) The post-thawing viability of ova dehydrated and rehydrated using a cooling machine (95.8$\pm$4.2%) was significantly(p<0.05) higher than that on ice(84.1$\pm$9.9). In conclusion, in order to efficiently cryopreserve ova in vitro with ultrarapidly freezing method, highly viable embryos should be selected, heavy osmotic shock to the dehydrating ova should be avoided, and embryos in high osmotic condition were dehydrated and rehydrated in a constantly low temperature.

• 한국생산제조학회지
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• 제22권5호
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• pp.824-830
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• 2013

In ultra-precision machining, the inside temperature should be controlled precisely. The important factors are environmental conditions (outside temperature, humidity) and temperature conditions (cutting heat, spindle heat). Thus, in this study, an environmental control cell for the ultra-precision machine that could control the inside temperature and minimize effects of the surrounding environment to achieve a thermal deformation of less than 400nm of a specimen was designed and verified through C.F.D. Further, a method that could control the temperature precisely by using a blower, heat exchanger and heater was evaluated. As a result, this study established a C.F.D technic for the environmental control cell, and the specimen temperature was controlled to be within $17.465{\pm}0.055^{\circ}C$.

• 한국공작기계학회:학술대회논문집
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• 한국공작기계학회 2005년도 춘계학술대회 논문집
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• pp.468-472
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• 2005

In this paper, the static and dynamic stiffness of the air bearing stage for micro-micro machine tool are examined experimentally. For stiffness and precision concerns, air bearing stages are adapted for 3-axis micro-milling machine which is size of $200x200\;mm^2$. The air bearings in the stage are preloaded by permanent magnets to achieve desired bearing clearance and stiffness for vertical direction. As the stiffness of the air bearing is primary interests, static stiffness test were performed on XY stage in Z direction and Z column in Y direction. Dynamic test were performed on XY stage and Z column, respectively. Both static and dynamic tests were performed in different air pressure conditions. The vertical stiffness of XY stage is about 9 N/ pm where Y stiffness of Z column is much smaller as $1\;N/{\mu}m$ because of the large moment generated by Y force on the column.

• International Journal of Precision Engineering and Manufacturing
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• 제8권2호
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• pp.32-37
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• 2007

This paper proposes a dual-mode ultra precision positioning system for machine tools and measuring machines. The objective was to position a machine table with a picometer order of resolution, i.e., pico-positioning. A twist-roller friction drive (TFD) was used in coarse-mode positioning. The TFD, which was driven by an AC servomotor, is a kind of lead screw in mechanical terms, and several centimeters of machine table movement was controlled with a nanometer order of positioning resolution. To eliminate lateral vibration caused by the TFD, an active aerostatic coupling driven by piezoelectric actuators was inserted between the TFD and the machine table. This active aerostatic coupling was also applied as a feed drive device for fine-mode positioning; in the fine mode, the positioning resolution was 50 pm. Factors influencing pico-positioning, such as how noise from displacement sensors and vibrations in the aerostatic guideway affect positioning resolution, are discussed.

• Radiation Oncology Journal
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• 제21권1호
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• pp.100-106
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• 2003

목적 : 네트워크를 이용해 영상수집을 하여 방사선치료를 수행하는데 요구되는 기계중심점과 종양중심점의 일치여부 및 환자자세의 재현성을 확인하는 기능 등을 수행할 수 있는 환자자세검증도구를 개발하고자 한다. 대상 및 방법 : 전산화단층촬영 영상으로부터 재구성한 디지털화재구성사진(digitally reconstructed radiography, DRR) 영상과 투과 영상인 모의치료영상, 상용전자포탈 영상장치에서 수집한 포탈영상 밑 CCD 카메라로부터 획득한 디지털영상 등을 네트워크를 통해 수집하였고, 이를 조작할 수 있는 분석용 프로그램을 프로그램 제작툴인 IDL(IDL 5.4, Research systems, USA)을 이용해 작성하였다. 이를 환자자세 검증도구(patients setup verification tool for RT, PSVTS)라 명명하였다. 기계중심점과 종양중심점의 일치여부 확인은 전산화단층촬영영상으로부터 재구성한 DRR 영상과 모의치료영상을 이용하여 위치변위를 분석함으로써 치료조준오차를 구하였다. 환자자세의 재현성 확인은 첫 치료 시에 얻은 포탈 영상과 매 치료 시마다 얻는 포탈영상을 비교, 분석하는 방법과 디지털영상을 이용하는 방법을 사용하였다. 결과 : 방사선치료 시 요구되는 기계 중심점과 종양중심점의 일치여부 및 환자자세의 재현성을 확인할 수 있는 사용자편의방식의 소프트웨어와 환자자세검증도구를 개발하였다. 종양중심점과 기계중심점의 일치여부 확인 결과 치료조준오차는 두경부에서 전후, 좌우 각각 0.8$\pm$0.2 mm, 1.0$\pm$0.3 mm이었고, 골반부에서 1.1$\pm$0.5 mm, 1.0$\pm$0.6mm이었다. 환자자세 재현성은 영상을 실시간으로 획득하여 환자 자세 위치 변화를 시각적으로 평가할 수 있어실용성 있음을 알 수 있었다. 결론 : 환자자세의 재현성 및 종양중심점과 기계중심점의 일치여부를 파악할 수 있는 환자자세검증도구를 개발하였고, DRR 영상의 질 증진, 사용자편의방식의 소프트웨어를 보완한다면 임상응용에 가능할 것으로 사료된다.