• Korean Journal of Optics and Photonics
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• v.13 no.1
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• pp.9-14
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• 2002

A surface plasmon sensor has been fabricated for detection of concentration and refractive-index of a mixed solution. Based on the Kretschmann-Raether attenuated-total-reflection configuration, the sensor consists of 54 nm-thick Ag metal layer under a prism and a cell containing the mixed solution. We have observed a nonlinear refractive-index change as the ethanol-water concentration increased. The experimental results show us that the detection limit of the SPR sensor is 3$\times$10$^{-2}$ % in ethanol mass ratio. The concentration-to-index curve shows a linear increase in the range of ethanol concentration from 0% to 50%, but a nonlinearity is observed beyond 50%. We have modeled the nonlinearity and compared it with the experimental results.

• Journal of the Korean Institute of Gas
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• v.13 no.5
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• pp.15-19
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• 2009

In this study, the transient responses of hydrogen sensor against abrupt hydrogen release was experimentally studied for three most common types of hydrogen sensors, i.e. the semiconductor type, electrochemical type, and catalytic combustion type. The experimental study was conducted using a 1% hydrogen - 99% nitrogen mixture gas as the standard gas, while the temperature and relative humidity (RH) of the mixture gas was varied from $25^{\circ}C$ to $50^{\circ}C$ and from 50% to 100%, respectively. The temperature of the mixture gas was found to influence the output signal levels of hydrogen sensors, especially the catalytic combustion type. However, the effect of RH on the sensor response was not noticeable in the present experimental study. Thus, the signal levels of hydrogen sensors, in case of catalytic gas sensor need to be calibrated dependent on gas temperature, when the accurate determination of hydrogen concentration is important.

• Journal of the Korea Computer Graphics Society
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• v.24 no.4
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• pp.11-20
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• 2018

Applications about systems integration of sensors and virtual environments have been developed increasingly. Accordingly, there is a need for the ability to represent, control, and manage physical sensors directly in a 3D virtual environment. In this research, a method of representing physical sensor devices in a 3D virtual environment has been defined using mixed and augmented reality, including virtual and real worlds, where sensors and virtual objects co-exist. The research is intended to control and manage various physical sensors through data sharing and interchange between heterogeneous computing environments. In order to achieve this, general sensor types have been classified, and a sensor based 3D scene graph for representing the functions of sensors has been defined. In addition, a sensor data model has been defined using the scene graph. Finally, a sensor 3D viewer has been implemented based on the scene graph and the data model so as to simulate the functions of sensors in indoor and outdoor 3D environments.

• Journal of Sensor Science and Technology
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• v.3 no.2
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• pp.57-64
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• 1994

This paper describes the measurement of tissue blood flow by the the self-mixing effect of laser diode. A Laser doppler signals due to the moving object and the tissue blood flow were detected by the self-mixing effect of laser diode. The Doppler shifted frequency was changed linearly with the driving frequency of moving object and was increase after the exercise. The results of in-vivo experiment were consistent with the result of exercise physiology.

• Proceedings of the Korean Society for Agricultural Machinery Conference
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• 2003.07a
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• pp.434-439
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• 2003

바이오센서는 특정 물질과 선택적으로 결합하여 전기 신호를 발생시킬 수 있는 소자로 구성되어 있다. 감응 물질에 따라 효소 센서, 미생물 센서, 항원/항체 반응을 이용한 센서들이 있으며, 분석 대상 물질에 대해서 선택적으로 감응한다. 따라서, 바이오센서는 특정 물질의 정량에는 우수한 성능을 발휘하고 있으며, 이에 대한 연구가 활발히 진행되고 있다. 그러나, 향기, 주류, 음료 등의 다양한 성분이 혼합되어 있는 시료들은 각 성분의 복합적인 영향에 의해서 품질이 표현되기 때문에, 바이오센서의 적용은 한계를 가지고 있다. (중략)

• Proceedings of the Korean Radioactive Waste Society Conference
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• 2007.05a
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• pp.151-152
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• 2007

ACP(Advanced Spent Fuel Conditioning Process)의 금속전환로에 $U_{3}O_{8}$을 공급하기 위하여 20 kgHM/batch의 $UO_{2}$ 펠릿(pellets)을 처리할 수 있는 공기산화로가 개발되고 있다. 그림 1은 산소농도 조절이 가능한 공기산화로이다. 공기산화로 이전의 공정인 슬리팅 장치에서 탈피복된 $UO_{2}$ 펠릿은 공기산화로로 운반되고, $500^{\circ}C$온도에서 공기를 공급하여 일정한 입도범위의 균질한 $U_{3}O_{8}$을 만든다. 그리고 다음공정의 금속전환장치로 이동된다. 본 논문에서는 모의연료의 산화에 대한 정확한 산소농도를 측정하고자 한다. 이를 위해서 갈바닉 센서와 지르코니움 센서가 사용되었고, 그 특성이 비교되었다. 14종의 금속 산화물이 혼합된 모의연료를 제조하여 산화실험이 수행되었으며, 시간변화에 따라 산소농도가 측정되었다. 산소농도 컨트롤러와 산소 센서를 사용한 공기산화로는 산소조절기에 의해 산소농도 100%까지 측정될 수 있다. 그림 2는 공기산화로의 산소농도를 조절할 수 있는 산소농도 측정시스템이다. 유량조절기(Mass Flow Controller)를 사용하여 질소와 산소의 혼합비를 변화시킬 수 있다. 또한 산소농도 측정시스템은 측정된 산소농도 값을 이용하여 $UO_{2}$의 산화시간을 계산하기 위하여 제작하였다. 산화시간 계산방법은 다음과 같다. 산소와 질소의 가스는 각각 40 L의 압력 봄베에 의해서 산소농도를 조절할 수 있는 공기산화로의 산소농도 측정시스템 안으로 유입된다. 유입된 산소와 질소의 배합은 컨트롤시스템 안에 있는 산소 유량조절기와 질소 유량 조절기를 사용하여 조절하며, 일정하게 혼합된 산소농도는 장치의 입구와 출구에서 산소 센서에 의해서 측정된다. 투입된 $UO_{2}$ 펠릿이 $500^{\circ}C$에서 반응하면서 공기산화로의 내부에 있는 산소농도가 감소된다. 이때 초기에 같았던 입력과 출력 농도가 시간의 흐름에 따라 감소되며, 펠릿이 완전히 산화됨과 동시에 출력 산소농도가 입력농도와 다시 같아질 때까지 소요된 구간이 산화시간이 된다.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.20 no.9
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• pp.1747-1754
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• 2016

This paper presents a high accuracy and fast hybrid on-chip temperature sensor. The proposed temperature sensor combines a SAR type temperature sensor with a ${\Sigma}{\Delta}$ type temperature sensor. The SAR type temperature sensor has fast temperature searching time but it has more error than the ${\Sigma}{\Delta}$ type temperature sensor. The ${\Sigma}{\Delta}$ type temperature sensor is accurate but it is slower than the SAR type temperature sensor. The proposed temperature sensor uses both the SAR and ${\Sigma}{\Delta}$ type temperature sensors, so that the proposed temperature sensor has high accuracy and fast temperature searching. Also, the proposed temperature sensor includes a temperature error compensating circuit by storing the temperature errors in a memory circuit after chip fabrication. The proposed temperature sensor was fabricated in 3.3V CMOS $0.35{\mu}m$ process. Its temperature resolution, power consumption, and area are $0.15^{\circ}C$, $540{\mu}W$, and $1.2mm^2$, respectively.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.15 no.8
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• pp.1820-1831
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• 2011

When both types of periodic and aperiodic tasks are required to run on a sensor node platform with limited energy resources, we propose an energy-efficient hybrid task scheduling technique that guarantees the deadlines of real-time tasks and provides non-real-time tasks with good average response time. The proposed hybrid task scheduling technique achieved better performance than existing EDF-based DVS scheduling techniques available in the literature, the FIFO-based TinyOS scheduling technique, and the task-clustering based non-preemptive real-time scheduling technique.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.23 no.5
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• pp.63-70
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• 2023

In this paper, we propose a Mixed Reality based rehabilitation exercise solution with the goal of mitigating one of the most common chronic conditions among the elderly, musculoskeletal disorders. In modern society, as the number of elderly increases, more people engage in office work and engage in more sedentary activities. Due to repetitive work in the office, muscle strength decreases and this causes many difficulties in daily life. In this study, we developed a mixed reality based exercise platform to solve these chronic musculoskeletal diseases. VR is not appropriate for elderly because of dizziness. In addition, we developed a wearable sensor based on IMU and attached it to important parts of the upper body to motion tracking. We developed a algorithm synchronize to raw data from wearable sensor with in a vr avatar. Ederly can check in real time whether rehabilitation exercises are being performed accurately through the avatar.

• Journal of KIISE:Software and Applications
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• v.41 no.8
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• pp.586-597
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• 2014

The next generation mobile computing technology is recently attracting attention that smartphone and wearable device imbedded with various sensors are being deployed in the world. Existing activity and posture recognition research can be divided into two different ways considering feature of one's movement. While activity recognition focuses on catching distinct pattern according to continuous movement, posture recognition focuses on sudden change of posture and body orientation. There is a lack of research constructing a system mixing two separate patterns which could be applied in real world. In this paper, we propose a method to use both smartphone and wearable device to recognize activity and posture in the same time. To use smartphone and wearable sensor data together, we designed a pre-processing method and constructed recognition model mixing signal vector magnitude and orientation pattern features of vertical and horizontal. We considered cycling, fast/slow walking and running activities, and postures such as standing, sitting, and laying down. We confirmed the performance and validity by experiment, and proved the feasibility in real world.