• The Bulletin of The Korean Astronomical Society
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• v.42 no.2
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• pp.73.2-73.2
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• 2017

고적색편이의 $Ly{\alpha}$ 방출은하($Ly{\alpha}$ emitter; LAE)는 UV 연속복사에 비해 강한 $Ly{\alpha}$ 방출선을 내는 천체로서 매우 젊고, 낮은 금속함량을 가진 원시은하이다. LAE의 강한 $Ly{\alpha}$ 방출선은 먼지가 매우 적기 때문에 소광이 거의 없이 은하에서 탈출하거나, 먼지의 국지적인 분포 때문에 나타나는 것으로 추정된다. 그러나 기존 전파관측 시설의 낮은 감도 때문에 LAE의 먼지성분은 잘 알려져 있지 않다. 우리는 Atacama Large Millimeter/Submillimeter Array (ALMA)에 의해 우연히 관측된 LAE을 찾아 먼지연속복사를 직접적으로 검출하는 시도를 해 보았다. COSMOS와 ECDFS 영역에서 발견된 약 954개의 LAE 중에서 총 38개가 ALMA로 관측된 영역에 우연히 위치한다는 것을 발견하였고, 이 중 18개의 LAE에 대해 ALMA 관측영상을 모두 더하는 방법(image stacking)을 이용하여, LAE에서 방출되는 먼지연속복사의 상한선을 결정하였다: S(0.50-0.67mm) < $63.2{\mu}Jy$, S(0.21-0.38mm) < $46.7{\mu}Jy$. 본 연구에서는 비록 직접적인 검출에는 실패하였으나, 주어진 LAE 샘플에 대한 ALMA archive 검색, 원자료 다운로드, 영상 만들기, 이미지 합침 과정을 자동화하는 Python 파이프라인을 완성하였다. 이 자동화된 과정을 이용하면, 앞으로 ALMA archive가 늘어남에 따라 감도가 높아진 실험을 쉽게 반복할 수 있을 것으로 기대된다.

• Journal of Radiation Protection and Research
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• v.3 no.1
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• pp.29-32
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• 1978

A shielding calculation has been carried out for a storage vault of $5292(42{\times}42{\times}3)$ waste drums in which the mixed radioactive gamma-emitters are contained. The required ordinary concrete shielding thickness seems to be approximately 50cm. The results in terms of dose rate for polyenergy gammas appear to be considerably higher than those of the averaged energy gamma.

• Journal of Convergence for Information Technology
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• v.7 no.5
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• pp.83-88
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• 2017

This paper describes the azimuth accuracy test of phase comparison direction finding method using F-16 fighter scale-down model. When the antennas are placed on the bottom of a fighter, reflection signals caused by an aircraft structure arises and an azimuth error occurs. In this research, the F-16 fighter scale-down model was made to 5:1, and five antennas were placed on the bottom of the model, then the radio waves of emitters were received by the antennas in the $0-360^{\circ}$ azimuth angles. The accuracy test was performed by numerically analyzing the phases of the radio waves received by the five antennas. The azimuth error of the phase comparison direction finding with scale-down model was measured to be less than $0.5^{\circ}$ when the signal noise ratio was larger then 0dB, and it could be very useful for the design of the phase comparison direction finding method of the fighter.

• Journal of the Institute of Electronics Engineers of Korea SD
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• v.38 no.2
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• pp.114-121
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• 2001

A circuit model for active-controlled field emitter array(ACFEA) as an electron source of active-controlled field emission display(ACFED) has been proposed. The ACFEA with hydrogenated amorphous silicon thin-film transistor(a-Si:H TFT) and Spindt-type molibdenum tips (Spindt-Mo FEA) has been fabricated monolithically on the same glass. A-Si:H TFT is used as a control device of field emitters, resulting in stabilizing emission current and lowering driving voltage. The basic model parameters extracted from the electrical characteristics of the fabricated a-Si:H TFT and Spindt-Mo FEA were implemented into the ACFEA model with a circuit simulator SPICE. The accuracy of the equivalent circuit model was verified by comparing the simulated results with the measured one through DC analysis of the ACFEA. The transient analysis of the ACFEA showed that the gate capacitance of FEA along with the drivability of TFT strongly affected the response time. With the fabricated ACFEA, we obtained a response time of 15$mutextrm{s}$, which was enough to make 4bit/color gray scale with the pulse width modulation (PWM).

• Journal of the Ergonomics Society of Korea
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• v.34 no.5
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• pp.541-548
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• 2015

Objective: We introduce a hand gesture segmentation method using a wrist-worn wearable device which can recognize simple gestures of clenching and unclenching ones' fist. Background: There are many types of smart watches and fitness bands in the markets. And most of them already adopt a gesture interaction to provide ease of use. However, there are many cases in which the malfunction is difficult to distinguish between the user's gesture commands and user's daily life motion. It is needed to develop a simple and clear gesture segmentation method to improve the gesture interaction performance. Method: At first, we defined the gestures of making a fist (start of gesture command) and opening one's fist (end of gesture command) as segmentation gestures to distinguish a gesture. The gestures of clenching and unclenching one's fist are simple and intuitive. And we also designed a single gesture consisting of a set of making a fist, a command gesture, and opening one's fist in order. To detect segmentation gestures at the bottom of the wrist, we used a wrist strap on which an array of infrared sensors (emitters and receivers) were mounted. When a user takes gestures of making a fist and opening one's a fist, this changes the shape of the bottom of the wrist, and simultaneously changes the reflected amount of the infrared light detected by the receiver sensor. Results: An experiment was conducted in order to evaluate gesture segmentation performance. 12 participants took part in the experiment: 10 males, and 2 females with an average age of 38. The recognition rates of the segmentation gestures, clenching and unclenching one's fist, are 99.58% and 100%, respectively. Conclusion: Through the experiment, we have evaluated gesture segmentation performance and its usability. The experimental results show a potential for our suggested segmentation method in the future. Application: The results of this study can be used to develop guidelines to prevent injury in auto workers at mission assembly plants.