• Proceedings of the KIEE Conference
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• 2004.07d
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• pp.2553-2555
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• 2004

본 논문은 사용자의 손가락 및 손의 움직임을 이용하여 키보드와 마우스로 사용하도록 개발된 착용형 입력장치 ($SCURRY^{TM}$)의 손가락 움직임을 감지하는 클릭인식 성능의 향상 방법을 제안한다. 제작된 착용형 입력장치는 클릭 감지용 가속도계가 장착된 손가락 부분과 손 움직임 감지용 각속도계가 장착된 손등 부분, 그리고 화면상의 가상키보드의 구성된다. 제안하는 클릭 감지 방법은 사용자의 클릭 의도를 파악하는 특징 추출부, 클릭 동작을 수행한 손가락을 판별하는 유효클릭 인식부, 그리고 손 움직임에 의해 발생된 외도하지 않은 클릭신호를 제거하는 신호혼선 제거부로 구성된다. 제안된 방법을 이용하여 착용형 입력장치의 클릭 일시성능이 향상됨을 실험으로부터 확인하였다.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.11 no.2
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• pp.485-490
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• 2010

We propose the equivalent circuit model including all parasitic components in input gate of sense amplifier of DDI DRAM with butting contact structure. We analysed the effect of parasitic schottky diode by using the proposed model in the operation of sense amplifier. The cause of single side fail and the temperature dependence of fail rate in DDI DRAM are due to creation of the parasitic schottky diode in input gate of sense amplifier. The parasitic schottky diode cause the voltage drop in input gate, and result in decreasing noise margin of sense amplifier. therefore single side fail rate increase.

• Fire Science and Engineering
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• v.31 no.2
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• pp.44-51
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• 2017

Accurate predictions of the activation time for smoke detectors using a fire simulation is are required to ensure the reliability of the RSET (Required Safe Egress Time) calculation in the process of PBD (Performance-Based Design). The objective of this study was to enhance the accuracy of input parameters for the numerical models of smoke detector based on the FDS. To this end, a Fire Detector Evaluator (FDE) developed in previous studies was improved. The uniformities of flow and smoke inside the FDE were improved and accurate measurements of the obscuration per meter (OPM) related to detector operation were also performed through a decrease in the forward scattering of smoke particles. The input parameters using the improved FDE showed a significant difference from the previous FDE quantitatively. In particular, a larger difference was found in a photoelectric detector compared to an ionization detector. Considering that the operating conditions of smoke detectors are affected by the detector type, combustibles, smoke particulars, and color, the database (DB) on the input parameters for various detectors and combustibles should be built to improve the reliability of PBD in future studies.

• Fire Science and Engineering
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• v.18 no.4
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• pp.42-51
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• 2004

This paper presents a study on the analysis of fire detection system using fuzzy logic with input variables of temperature and smoke density. The input variables for the fuzzy logic algorithm are measured by fire experiment of small scale with temperature detector and smoke detector. The antecedent part of fuzzy rules consists of temperature and smoke density, and the consequent part consists of fire possibility. Also the triangular fuzzy membership function is chosen for input variables and fuzzy rules to simplify computation. In order to calculate fuzzy values of such fuzzy system, a computer program is developed with Matlab based on graphics user interface. The experiment was conducted with paper and ethanol to simulate flaming fire and with plastic and sawdust to model smoldering fire. The results showed that the fire detection system presented here was able to diagnose fire very precisely. With the help of algorithms using fuzzy logic we could distinguish whether fire or not.

• Proceedings of the Korea Information Processing Society Conference
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• 2014.11a
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• pp.902-904
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• 2014

사람감지를 통한 영상녹화 시스템은 컴퓨터가 입력받은 영상으로부터 사람인 부분을 감지하고 녹화하는 시스템이다. 영상처리를 기반으로 한 사람감지 방법은 그 내용이 비교적 난해하고 학습량이 방대하기 때문에 관련 분야의 입문자들이 직접 구현하기에 어려움이 수반된다. 따라서 이 논문은 초보자들이 해당 분야에 보다 쉽게 접근할 수 있도록 하기 위해 공개 소스 컴퓨터 비전(OpenCV) 라이브러리의 사람 감지 API를 제공한다. 또한, 이를 이용해 웹캠을 통해 입력받은 영상에서 사람인 부분을 표시해주고, 녹화하는 시스템을 구현하였다.

• Proceedings of the Korean Institute of Industrial Safety Conference
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• 2002.05a
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• pp.82-87
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• 2002

지금까지의 화재감지시스템은 하나의 입력요소에 대하여 화재, 비화재로 판단하는 단순한 형태의 신호를 발신하여 하나의 요소로만 화재를 판단하여 왔다. 또한 기존의 화재감지시스템은 화재 시에 발생되는 열, 연기, 불꽃 등에 대하여 감지기회로에서의 미리 지정한 고정값과의 비교를 통하여 정해진 기준을 넘을 경우 화재로 판정한다. 그러나 고정값을 기준으로 신호를 발신하게 되어있는 화재감지기의 동작은 상황에 따라 불확실한 경우가 발생한다.(중략)

• Journal of the Korean Institute of Telematics and Electronics S
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• v.36S no.1
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• pp.93-103
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• 1999

To detect obstacles and lane-markers for driving vehicles, a new moving window scheme where moving windows are assigned to an image frame captured by a camera is addressed. For the detection of obstacles, it is important to estimate lane-markers precisely and rapidly. For this purpose, selecting some partes of an image frame at the expected lane locations, i.e., selecting window are generally adopted for extracting lane-markers efficiently. In this paper, a new scheme that extracts lane-markers precisely by assigning variable size windows at the expected locations of lane-markers considering the road curvature and finally detects obstacles within a driving lane is proposed. The accuracy improvement using this moving window scheme is showed by comparing to the conventional fixed window method and to using radar to laser sensors.

• Proceedings of the KIEE Conference
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• 2015.07a
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• pp.107-108
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• 2015

본 논문의 목적은 먼지 감지 센서, 우적 센서, 조도 감지센서와 자동 장치를 창문에 부착하고 Arduino에 연결하여 외부 환경에 따라 자동으로 창문을 여닫도록 하는데 있다. 입사광의 산란 검출을 기반으로 하는 먼지센서, 비가 내리는 양에 따른 저항 값의 변화를 감지하는 우적센서, 빛의 밝기에 따라 저항 값이 바뀌는 조도 감지 센서를 제어용 컴퓨터인 아두이노에 연결하여 데이터를 입력 받도록 한다. 사용자의 설정에 따라 입력 받은 데이터를 이용하여 창문의 여닫음을 결정하고 이를 창문에 부착한 자동장치를 통해 능동적으로 구현한다. 본 연구를 통해 사용자의 편의성을 향상시킬 수 있으며 나아가 냉난방기 사용을 줄여 에너지를 절약하는 효과를 기대한다.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.15 no.6
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• pp.141-146
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• 2015

In order to classify and analyze variously compounded sound and voice signal from FPGA microphone, there are numerous systems to detect abnormality signal, however, they have a lot of problems to implement the abnormality signal detection efficiently and effectively. Therefore, we proposed a method that implements classifying the signal effectively and outputting the detection efficiently based on the algorithm applied FIFO structure (First-in First-out) by using microphone sensor which able to input the sound signal, and statistical variance and coefficient of variation (CV). The result showed 96.3% detection when the experiment was performed more than 100 times with the proposed algorithm applied system.

• Journal of IKEEE
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• v.24 no.3
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• pp.719-726
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• 2020

A threshold-voltage sensing circuit is proposed to compensate for pixel aging in active matrix organic light-emitting diodes. The proposed threshold-voltage sensing circuit consists of sample-hold (S/H) circuits and a single-ended successive approximation register (SAR) analog-to-digital converter (ADC) with a resolution of 10 bits. To remove a scale down converter of each S/H circuit and a voltage gain amplifier with a signl-to-differentail converter, the middle reference voltage calibration and input range calibration for the single-ended SAR ADC are performed in the capacitor digital-to-analog converter and reference driver. The proposed threshold-voltage sensing circuit is designed by using a 180-nm CMOS process with a supply voltage of 1.8 V. The ENOB and power consimption of the single-ended SAR ADC are 9.425 bit and 2.83 mW, respectively.