• Journal of Korean Academy of Dental Administration
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• v.10 no.1
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• pp.76-83
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• 2022

This study was undertaken to confirm the relationship between the manner of focus and job performance of clinical dental hygienists. A survey was conducted, and the results of the survey were analyzed using multiple regression analysis. As a result, in the correlation between job performance ability and focusing manner and appreciation of the experience process, which are sub-factors of job performance ability and focusing manner, r=.161 (p<0.1) and appropriate distance r=.229 (p<0.1) indicated a positive (+) correlation. Multiple regression analysis revealed that the factors that have the greatest influence on job performance are type of workplace (β=-0.381), focusing attitude (β=0.166), marital status (β=-0.156), and age (β=0.152). Therefore, by confirming the relationship between focusing and job performance ability, we intend to provide the basic data necessary to prepare measures to improve dental hospital management and job performance.

• Proceedings of the Korean Society of Computer Information Conference
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• 2023.07a
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• pp.183-184
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• 2023

스토리를 제대로 전달하려는 관점에서 제작자는 관객들이 무엇을 보게 할 것인가에 대한 고민이 필요하다. 즉, 관객의 시선을 시종일관 끌고 다녀야 한다. 그러한 관점과 더불어 관객이 일상에서 익숙한 공간감을 스크린 내에서도 확보해 줄 필요가 있다. 그러기 위해서는 영상의 깊이를 충분히 고려해야 하는데 이는 관객의 시선을 유도하는 반면에 현실 공간감을 확보하는 것이다. 스크린 내의 물체들을 자연 그대로의 원근감을 갖도록 촬영 환경을 구성하는 것도 필요하지만 스토리를 전개하는 피사체를 배경과 분리시킴으로써 자연스럽게 초점과 영점을 맞출 수 있도록 장면을 구현하는 것이다. 이를 위해서 제작(production) 단계에서는 촬영기법으로, 후반작업(post-production) 단계에서는 아웃 포커싱 등의 효과를 적용하는 방법 등이 고려될 수 있다. 본 논문에서는 영상의 깊이를 확보해야만 하는 이유와 이의 방법 등을 고찰해 본다.

• The KIPS Transactions:PartA
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• v.18A no.2
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• pp.45-52
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• 2011

In the past, a patient went to the room where an ultrasound image diagnosis device was set, and then he or she was examined by a doctor. However, currently a doctor can go and examine the patient with a handheld ultrasound device who stays in a room. However, it was implemented with only fundamental functions, and can not meet the high performance required by the focusing algorithm of ultrasound beam which determines the quality of ultrasound image. In addition, low energy consumption was satisfied for the mobile ultrasound device. To satisfy these requirements, this paper proposes a high-performance and low-power single instruction, multiple data (SIMD) based multi-core processor that supports a representative beamforming algorithm out of several focusing methods of mobile ultrasound image signals. The proposed SIMD multi-core processor, which consists of 16 processing elements (PEs), satisfies the high-performance required by the beamforming algorithm by exploiting considerable data-level parallelism inherent in the echo image data of ultrasound. Experimental results showed that the proposed multi-core processor outperforms a commercial high-performance processor, TI DSP C6416, in terms of execution time (15.8 times better), energy efficiency (6.9 times better), and area efficiency (10 times better).

• Korean Journal of Optics and Photonics
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• v.34 no.2
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• pp.53-60
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• 2023

We designed a catadioptric objective lens with a 0.6 numerical aperture (NA) for semiconductor inspection at 193 nm. The objective lens meets major requirements such as a spatial resolution of 200 nm and a field of view (FOV) of 0.15 mm or more. We selected a wavelength of 266 nm for autofocus based on the availability of the light source. First, we built the objective lenses of three lens groups: a focusing lens group, a field-lens group, and an NA conversion group. In particular, the NA conversion group is a group of catadioptric lenses that convert the numerical aperture of the beam focused by the prior groups to the required value, i.e., 0.6. The last design comprises 11 optical elements with root-mean-squared (RMS) wavefront aberrations less than λ/80 over the entire field of view. We also achieved the athermalization of the objective lens with focus-shift alone satisfying the performance of RMS wavefront aberration below λ/30 at a temperature range of 20 ± 1.2 ℃.

• Journal of the Korean Crystal Growth and Crystal Technology
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• v.14 no.3
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• pp.101-104
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• 2004

It was realized that MC-XRD is useful for phase analyzing of inclusions in crystals because it can focus the X-Ray beam to the small particles sized dozens of $\mu\textrm{m}$ with high S/N ratio. By using this MC-XRD, needle-like inclusions which are seen generally in corundum crystals known as rutile was found to be the iron titanium oxide and iron oxide which has the chemical composition of $Fe_2TiO_4,\; Fe_2TiO_5,\; Fe_2O_3$respectively

• Proceedings of the KSME Conference
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• 2004.04a
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• pp.1643-1648
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• 2004

When a shock wave propagates into a Helmholtz resonator, very complicated wave phenomena are formed both inside and outside the resonator tube. Shock wave reflection, shock focusing phenomena and shock-vortex interactions cause strong pressure fluctuations inside the resonator, consequently leading to powerful sound emission. In the present study, the wave phenomena inside and outside the Helmholtz resonator are, in detail, investigated with a help of CFD. The Mach number of the incident shock wave is varied below 2.0 and several types of resonators are tested to investigate the influence of resonator geometry on the wave phenomena. A TVD scheme is employed to solve the axisymmetric, compressible, Euler equations. The results obtained show that the configuration of the Helmholtz resonator significantly affects the peak pressure of shock wave focusing, its location, the amplitude of the discharged wave and resonance frequency.

• Proceedings of the Korean Vacuum Society Conference
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• 2013.08a
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• pp.110-110
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• 2013

진공중을 전파하는 번치된 전자빔은 공간전하 효과로 빔이 퍼지게 된다. 본 연구의 중점 내용은 S-band 고주파 전자 가속기를 개발하는데 있다. 전자 가속기란 전자를 수 MeV의 에너지로 가속시키는 장치이다. 가속기의 중요한 3대 요소는 진공, 전자석, RF이다. 본 연구에서는 가속기에서 중요한 좋은 진공상태에서 좋은 전자석을 사용하여 실험하였다. S-band(2852~2860 MHz) 고주파 전자가속기의 캐비티내 전기장의 효과로 가속되는 번치된 전자빔의 집속 및 스티어링 효과를 얻기 위하여 스티어링 및 솔레노이드 전자석을 제작하여 실험에 사용하였고, 실제 빔을 인출 후 포커싱 및 스티어링 효과를 관찰 할 수 있었다.

• Transactions of the Korean Society for Noise and Vibration Engineering
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• v.18 no.1
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• pp.11-19
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• 2008

This paper proposes small VCM(voice coil motor) type, auto-focusing and zoom actuators for mobile information devices. In order to meet the large output displacement within small height restriction, the proposed auto-focusing actuator adopts curved suspensions, which are similar to a leaf-spring type suspension of optical disk drives. The sensitivity of design parameters on output displacement and dynamic performance is implemented using ANSYS (3D FEM tool) to determine the optimal geometry and stiffness of the curved suspensions. This paper also investigates a new zoom actuator without a suspension supporting a bobbin. The zoom actuator uses a moving rail and a stoper mechanism by generating rotational force at lens holder. Magnetic flux density of the zoom actuator are calculated by both the FEM and permeance method. Experiments using prototypes of the proposed focusing and zoom models show that both actuators meet the required displacement and performance.

• Proceedings of the Korea Information Processing Society Conference
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• 2004.05a
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• pp.727-730
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• 2004

영상은 복잡한 객체들의 집합으로 이루어져 있기 때문에 영상에 포함된 객체를 분리하는 일은 컴퓨터 비전이나 인식 등 많은 분야에서 중요시 된다. 영상 처리 측면에서 객체를 분할하기 위해서 색상, 모양, 질감, 움직임 등 다양한 기법들이 이용되고 있다. 본 논문에서는 정확한 색상의 비교를 위해서 CIE 색상 모델을 이용하고 있으며 이것을 기반으로 객체를 추출하고 있다. 그리고 추출된 객체의 해석과 검증을 위해서 모양 기반의 분석법을 이용하고 있다. 본 논문에서는 Pan/Tilt 카메라의 타겟팅(Targeting)과 포커싱(Focusing)을 위해 영상 내에 포함되어진 객체를 검출하기 위한 방법론을 제안하고자 한다. 객체를 인식하기 위해 CIE 색상 모델을 이용한 색상 매칭 기법을 제안하고 있다. 색상의 분포를 파악하기 위해서 CIE 모델이 생성해내는 Lab 블록을 통계적인 방법으로 분석한다. 그리고 분석된 결과는 CIE 블록 매칭(Bock Matching) 기법의 기준이 되며 이것을 이용해서 후보 객체 영역(Candidate Object Area)을 추출하게 된다. 추출된 후보 객체 영역을 검증하기 위해서 모멘트를 이용한 모양 기반의 분석을 활용하고 있다.

• Journal of the Korea Society of Computer and Information
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• v.26 no.3
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• pp.51-57
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• 2021

In this paper, we propose a method to find the DoF(Depth of field) that is blurred in an image by focusing and out-focusing the camera through a efficient convolutional neural network. Our approach uses the RGB channel-based cross-correlation filter to efficiently classify the DoF region from the image and build data for learning in the convolutional neural network. A data pair of the training data is established between the image and the DoF weighted map. Data used for learning uses DoF weight maps extracted by cross-correlation filters, and uses the result of applying the smoothing process to increase the convergence rate in the network learning stage. The DoF weighted image obtained as the test result stably finds the DoF region in the input image. As a result, the proposed method can be used in various places such as NPR(Non-photorealistic rendering) rendering and object detection by using the DoF area as the user's ROI(Region of interest).