• Proceedings of the IEEK Conference
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• 대한전자공학회 2007년도 하계종합학술대회 논문집
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• pp.247-248
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• 2007

본 논문에서는 이미지 센서의 Channel Spectral Sensitivity 특성과 CIE-Color Matching Function과의 관계를 고려하여, Color를 재구성함으로써 기존 영상의 색 정보를 그대로 복원하고, Color Error를 줄이는 방법을 제안한다. 특히 색변환 과정 중 Color Error를 줄일 때, 영상의 Edge와 Noise를 판별하여 Noise boost-up을 방지하고, 화질을 개선하는 방안을 제시한다.

• The Journal of the Korea institute of electronic communication sciences
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• 제10권2호
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• pp.203-210
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• 2015

The ecological environment monitoring system configured with Sensor Node, Gateway, Service Platform, and Web Browser. In this paper, we designed gateway resource tree and service function to do handling in the ecological environment monitoring service. Gateway Service Function based on oneM2M Common Service Function, Gateway Resource Tree configured with Application Part handling Sensor Data and Gateway link handling. lastly Device Registration, Sensing, Control, Profile Management.

• 한국IT서비스학회:학술대회논문집
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• 한국IT서비스학회 2008년도 춘계학술대회
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• pp.419-424
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• 2008

최근 네트워크 및 정보통신 기술의 발달로 유비쿼터스(Ubiquitous) 환경이 구체화되면서 미래의 정보 기술 산업을 주도할 유비쿼터스 센서 네트워크(Ubiquitous Sensor Network : USN)가 주목받고 있다. 이러한 USN기반의 서비스는 각종 센서들로부터 인식된 데이터를 수집하고 이를 가공하여 사용자가 이해하기 쉽게 USN 자원에 대한 정보를 전달해야 한다. 그러나 USN자원에 대한 정보를 사용자가 이해하기 쉽도록 웹 상에서 시각적으로 표현하기 위한 연구는 보이지 않고 있다. 본 논문에서는 USN 데이터를 크게 센싱데이터와 메타데이터로 분류하고 이를 효과적으로 표현할 수 있는 시각적 요소들을 제안하였다. 그리고 사용자 질의에 대한 응답을 분석하여 각 응답 유형에 따라 시각적 요소를 효과적으로 조합하여 사용자가 쉽게 인지할 수 있는 웹 페이지를 설계 및 구현하였다.

• Journal of Sensor Science and Technology
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• 제14권5호
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• pp.308-312
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• 2005

We present a microfluidic chip designed for the detection of antibody by using quantum dots fluorescence and a microbead-based assay. A custom designed PDMS microfluidic chip with multi-layer channel is utilized for capturing microbeads; antibody injection into each micro-well; QD injection; and fluorescence detection. The experiment using the fabricated microfluidic chip has been performed on solutions with various concentrations of antibody and has shown correlated fluorescent intensities.

• Journal of Sensor Science and Technology
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• 제14권2호
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• pp.109-115
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• 2005

Calibration is a prerequisite procedure for employing a camera as a 3D sensor in an automated machines like robots. As accurate sensing is possible only when the vision sensor is calibrated accurately, many different approaches and models have been proposed for increasing calibration accuracy. Particularly an important factor which greatly affects the calibration accuracy is the nonlinearity in the mapping between 3D world and corresponding 2D image. In this paper GMDH algorithm is used to learn the nonlinearity without physical modelling. The technique proposed can be effective in various situations where the levels of noises and characteristics of nonlinear distortion are different. In simulations and an experiment, the proposed technique showed good and reliable results.

• Journal of Sensor Science and Technology
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• 제25권1호
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• pp.71-78
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• 2016

PPG signal measured by pulse oximeter can measure pulse and the oxygen saturation of arterial blood. But the PPG signal is distorted by finger movement or other movement in the body. To detect pulse from the PPG signal with motion artifact, we use band pass filter(BPF), Independent component analysis(ICA) and nonlinear autocorrelation(NAC). BPF is used to remove DC component and high frequency noise in the PPG signal with motion artifacts. ICA is used to separate pulse signal and motion artifact. However, pulse signal separated by ICA have no choice but to accompany signal distortion because pulse signal and motion artifact are not completely independent. So, we use nonlinear autocorrelation to emphasize the pure pulse signal from the distorted signal.

• Journal of Sensor Science and Technology
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• 제25권6호
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• pp.406-411
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• 2016

The application of visual and auditory senses into virtual reality is easily taken for granted, but the sense of smell has been largely ignored. But many researches have shown that olfactory stimulation in virtual environments can increase the immersion and reality. In practical virtual reality, the use of scents is not always able to increase the immersion and reality. An ill-matched scent can decrease the reality. To solve this problem, we developed scent devices that can adjustable scents and scent intensity in order to display a well-matched scents in virtual reality. And we propose simple and practical way to program specific location to display scents and developed API function to control a developed scent device at virtual reality software.

• Journal of Sensor Science and Technology
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• 제25권6호
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• pp.412-417
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• 2016

Scent display is used mainly to augment immersion, reality and emotion, besides provide more tension and suggestion. However, this paper pay attention to effect of smells as ambient media, and propose a notification service using scents without sound and vibration when a user has new mail, test message and phone call. And we designed a scent service platform and API function for easy application of scent notification service. We demonstrated feasibility by experiment using smart phone and self-producted scent device.

• Journal of Sensor Science and Technology
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• 제25권6호
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• pp.399-405
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• 2016

Scent diffuser using micro-pore piezo actuator achieved a commercial success because of its cheap production cost, but it is easy to be use for IT-based contents due to difficulty of scent intensity control. To solve this problem, we control the emission amount of scent diffuser by changing amplitude and frequency of input voltage applied to micro-pore piezo actuator. And, we analyzed the effect of density of cotton core on emission amount and a relationship between hole-size of mesh in piezo actuator and viscosity of scents to design a mechanically optimal scent device.

• Journal of Sensor Science and Technology
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• 제13권1호
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• pp.27-34
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• 2004

Camera calibration is an important and fundamental procedure for the application of a vision sensor to 3D problems. Recently many camera calibration methods have been proposed particularly in the area of robot vision. However, the reliability of data used in calibration has been seldomly considered in spite of its importance. In addition, a camera model can not guarantee good results consistently in various conditions. This paper proposes methods to overcome such uncertainty problems of data and camera models as we often encounter them in practical camera calibration steps. By the use of the RANSAC (Random Sample Consensus) algorithm, few data having excessive magnitudes of errors are excluded. Artificial neural networks combined in a two-step structure are trained to compensate for the result by a calibration method of a particular model in a given condition. The proposed methods are useful because they can be employed additionally to most existing camera calibration techniques if needed. We applied them to a linear camera calibration method and could get improved results.