• 한국해안해양공학회지
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• 제14권1호
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• pp.8-18
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• 2002

본 논문에서는 밑이 뚫린 원통형 진동수주 파력발전장치에 의한 파 에너지 흡수효율을 살펴보았다. 경계치 문제는 공기실내의 변동압력이 없을 때 입사파에 의한 산란문제와 공기실 내부의 변동압력에 의한 방사문제로 나누어진다. 공기실 내에서 공기 흐름에 대한 연속방정식을 적용하여 변동압력을 구하였다. 이로부터 진동수주 파력발전장치가 흡수한 시간평균 마력과 에너지 취득 폭을 구하였다. 수치계산에서는 원통형 공기실의 반지름과 잠긴 깊이 그리고 입사파의 주파수를 바꿔가면서 공기실 내부의 유량 변화와 에너지 취득 폭을 살펴보았다. 수학적으로 구한 최적의 터빈 상수를 대입하며 구한 에너지 취득 폭의 최대값은 원통형 공기실의 공진 모드 중에서 첫 번째 공진 모드인 Helmholtz모드에서 나타난다. 따라서 효율적인 파력발전장치를 제작하기 위해서는 설치될 해역의 파의 주파수와 공기실의 고유주파수가 일치되도록 공기실의 형상을 설계하여야 한다.

• 한국안전학회지
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• 제23권2호
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• pp.1-6
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• 2008

The present study investigates on improvement of inhalation efficiency of hood in ventilation system for elimination of industrial dust. The hood, one of local exhaust ventilation system, has an important function to inhale a pollution source such as harmful dust and industrial waste. In this study, in order to improve the inhalation efficiency of the industrial hood, a new device named "gas-guide-device" was attached to inside of hood. The thermal fluid commercial code "Phoenics ver 3.1" was used to analyze the flow velocity distribution at the hood inlet and around the hood after gas-guide-device was installed. And the flow velocity on each position inside and around the hood was actually measured using the hot wire type anemometer under the same condition as that of numerical analysis. Also, in order to identify the optimum shape of gas-guide-device, numerical analysis and experiments are performed under various conditions and their results are presented. The results of this study revealed that the hood attached with gas-guide-device was higher the inhalation efficiency than that for without one and can be possible to improve the capture velocity of the industrial dust. And the optimum shape of gas-guide-device was identified that the ratio of two sizes of gas-guide-device, X to Y, has 4 to 6 on the basis of the hood size in use and the width (b) of gas-guide-device.

• 한국컴퓨터그래픽스학회논문지
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• 제23권2호
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• pp.41-47
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• 2017

본 논문은 Kinect와 같은 저가형 동작 포착 기기로부터 획득한 부정확한 동작데이터를 보정하여 올바른 동작을 생성하는 기술을 제안한다. 미리 정의된 동기화된 동작 데이터베이스를 활용하여 보정하는 것을 핵심아이디어로, 동기화된 데이터베이스란 Kinect와 함께 전문동작 포착 장비로 다양한 동작을 동시에 포착하여 시간축 상에서 동기화시켜 구성한 것을 의미한다. 구축된 동기화된 데이터베이스와 함께 오류가 있는 Kinect 동작 포착 데이터를 입력으로 받으면, 데이터베이스 검색을 통해 비슷한 자세군을 얻고 이로부터 올바른 자세를 통계학적으로 예측하는 지연학습방식의 보정방법을 제안한다. 본 방법의 유효성을 검증하기 위해 다양한 동작들에 대해 자세 보정을 실시하여 보정이 이뤄지는 것을 보였다.

• 대기
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• 제28권3호
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• pp.317-324
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• 2018

In this study, we review the ground-based whole-sky camera (WSC), which is developed to continuously capture day and night cloud images using the illumination data from a precision Lightmeter with a high temporal resolution. The WSC is combined with a precision Lightmeter developed in IYA (International Year of Astronomy) for analysis of an artificial light pollution at night and a DSLR camera equipped with a fish-eye lens widely applied in observational astronomy. The WSC is designed to adjust the shutter speed and ISO of the equipped camera according to illumination data in order to stably capture cloud images. And Raspberry Pi is applied to control automatically the related process of taking cloud and sky images every minute under various conditions depending on illumination data from Lightmeter for 24 hours. In addition, it is utilized to post-process and store the cloud images and to upload the data to web page in real time. Finally, we check the technical possibility of the method to observe the cloud distribution (cover, type, height) quantitatively and objectively by the optical system, through analysis of the captured cloud images from the developed device.

• 한국전기전자재료학회논문지
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• 제14권3호
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• pp.241-245
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• 2001

In this paper, we present parameter optimization technique for GaAs/AlGaAs multiple quantum well avalanche photodiodes used for image capture mechanism in high-definition system. Even under flawless environment in semiconductor manufacturing process, random variation in process parameters can bring the fluctuation to device performance. The precise modeling for this variation is thus required for accurate prediction of device performance. The precise modeling for this variation is thus required for accurate prediction of device performance. This paper will first use experimental design and neural networks to model the nonlinear relationship between device process parameters and device performance parameters. The derived model was then put into genetic algorithms to acquire optimized device process parameters. From the optimized technique, we can predict device performance before high-volume manufacturign, and also increase production efficiency.

• Educational Technology International
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• 제18권1호
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• pp.27-47
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• 2017

Smart devices have a variety of affordances to foster meaningful learning in elementary school. For the design of smart learning environments, more research is needed to understand students' smart device usage and their perception of learning with smart devices. In order to capture smart device usage profiles among elementary school students in South Korea, this study carried out Latent Profile Analysis with three constructs: information search, communication, and study. Participants (n=253), who ranged from the fourth to the sixth grade students, were classified into three profiles of smart device usage: low-activity, communication, and high-activity groups. The smart device usage profiles varied depending on smartphone usage experience, and the profiles were significantly related with smart device addiction, not with smart device usage ability. Perceptions of smart education were also significantly associated with the profiles. The high-activity group showed more positive attitudes toward smart education than the others, but no significant difference was found in regard to negative attitudes. Based on the findings, this study discussed implications for the use of smart devices in elementary school.

• 대한전기학회:학술대회논문집
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• 대한전기학회 2003년도 춘계학술대회 논문집 전기기기 및 에너지변환시스템부문
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• pp.402-404
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• 2003

Radio frequency identification (RF-ID) is an automatic data capture (ADC) technology that comprises small data-carrying device(is called Tag) and fixed or mobile device(is called reader). Tags are attached or deattached device. Readers may be installed at locations where data capture is required, and may also be in the form of portable readers. In this paper, we are proposing an application for the subway station using the RF-ID system and a system for the gateless fare collection passing through the booth in only carrying the card. In this system that RF-ID system and Bluetooth are applied. We designed two wireless communication channels. One is the 125kHz communication channel by FSK and PSK for power supplying on the card and identification and the other is 2.4GHz channel for the collection.

• PNF and Movement
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• 제18권2호
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• pp.287-296
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• 2020

Purpose: The study aims were to develop a wearable inertial sensor-based gait analysis device that uses machine learning algorithms, and to validate this novel device using temporal gait parameters. Methods: Thirty-four healthy young participants (22 male, 12 female, aged 25.76 years) with no musculoskeletal disorders were asked to walk at three different speeds. As they walked, data were simultaneously collected by a motion capture system and inertial measurement units (Reseed®). The data were sent to a machine learning algorithm adapted to the wearable inertial sensor-based gait analysis device. The validity of the newly developed instrument was assessed by comparing it to data from the motion capture system. Results: At normal speeds, intra-class correlation coefficients (ICC) for the temporal gait parameters were excellent (ICC [2, 1], 0.99~0.99), and coefficient of variation (CV) error values were insignificant for all gait parameters (0.31~1.08%). At slow speeds, ICCs for the temporal gait parameters were excellent (ICC [2, 1], 0.98~0.99), and CV error values were very small for all gait parameters (0.33~1.24%). At the fastest speeds, ICCs for temporal gait parameters were excellent (ICC [2, 1], 0.86~0.99) but less impressive than for the other speeds. CV error values were small for all gait parameters (0.17~5.58%). Conclusion: These results confirm that both the wearable inertial sensor-based gait analysis device and the machine learning algorithms have strong concurrent validity for temporal variables. On that basis, this novel wearable device is likely to prove useful for establishing temporal gait parameters while assessing gait.

• 대한기계학회논문집A
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• 제37권9호
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• pp.1093-1098
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• 2013

방탄소재로서 사파이어 재료가 대두되고 있지만 고속 충돌관련 동적거동 및 파괴특성에 관한 연구는 부족한 실정이다. 탄자와 취성세라믹재료간의 상호작용을 연구하기 위해서는 고화질의 초고속 연속영상이 필수적이다. 본 연구에서는 고속충돌 및 관통 현상을 순차적으로 촬영할 수 있는 장치를 개발하였다. 이 장치는 속도측정장치, 마이크로프로세서를 사용한 카메라 구동장치 그리고 다수의 CCD카메라로 이루어져있다. 선형배열센서를 사용한 속도측정장치는 직경 1-2 mm 탄자의 마하 3 속도를 측정할 수 있다. 발사된 탄자가 속도측정장치를 통과하면 속도와 시간이 측정되고 탄자가 비행하는 동안 카메라 구동장치가 정확한 충돌시간을 계산하여 다수의 카메라에 순차적으로 트리거 신호를 보내서 충돌 전후의 형상을 순차적으로 촬영한다. 정확한 충돌시간 예측을 못하면 고해상도의 사진촬영이 거의 불가능하다. 본 연구에서 개발된 정밀 촬영장치를 사용하여 고해상도의 영상을 확보할 수 있었다.

• 한국정밀공학회:학술대회논문집
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• 한국정밀공학회 2001년도 춘계학술대회 논문집
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• pp.296-299
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• 2001

We developed a motion capture system to get angle data of human joints in the walking mode. The motion capture system is a pair of leg-shape device, which is composed of three links with ankle, knee and pelvis joints. The sensors for measurement of the joint angle are potentiometers. We used an A/D converter to get digital data from joint angles, and which are used to simulate and coordinate the biped-walking robot developed in our laboratory. To simulate and analyze walking motion, animation based on three-dimension motion is performed using the open inventor software.