• 대한임베디드공학회논문지
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• 제11권2호
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• pp.97-105
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• 2016

Microcontrollers (MCUs) for endpoint smart sensor devices of internet-of-thing (IoT) are being implemented as system-on-chip (SoC) with on-chip instruction flash memory, in which user firmware is embedded. MCUs directly fetch binary code-based instructions through bit-line sense amplifier (S/A) integrated with on-chip flash memory. The S/A compares bit cell current with reference current to identify which data are programmed. The S/A in reading '0' (erased) cell data consumes a large sink current, which is greater than off-current for '1' (programmed) cell data. The main motivation of our approach is to reduce the number of accesses of erased cells by binary code level transformation. This paper proposes a built-in write/read path architecture using binary code inversion method based on hot-spot region detection of instruction code access to reduce sensing current in S/A. From the profiling result of instruction access patterns, hot-spot region of an original compiled binary code is conditionally inverted with the proposed bit-inversion techniques. The de-inversion hardware only consumes small logic current instead of analog sink current in S/A and it is integrated with the conventional S/A to restore original binary instructions. The proposed techniques are applied to the fully-custom designed MCU with ARM Cortex-M0$^{TM}$ using 0.18um Magnachip Flash-embedded CMOS process and the benefits in terms of power consumption reduction are evaluated for Dhrystone$^{TM}$ benchmark. The profiling environment of instruction code executions is implemented by extending commercial ARM KEIL$^{TM}$ MDK (MCU Development Kit) with our custom-designed access analyzer.

• 센서학회지
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• 제29권5호
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• pp.336-341
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• 2020

The deflection and null balance methods are used for precision force measurement in the precision industry. Since both methods are based on deformation, the performance of the load cell mechanism is important. In this study, the design variables were obtained via the free body diagram of a lever-linked Roberval mechanism (combined with a flexible hinge link and a Roberval mechanism), and the design characteristics were analyzed according to the weight method. Based on the design characteristics, the optimal design was conducted according to the weight method and FEM was used to verify its reliability.

• 한국전기전자재료학회:학술대회논문집
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• 한국전기전자재료학회 2001년도 하계학술대회 논문집
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• pp.186.2-189
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• 2001

요실리콘을 기반으로 하는 박막은 반도체 재료로 Si, Si:Ge, SiC등이 사용되고있으며, 절연박막재료로 SiN, SiOxNy, SiOx 등이 있다. 이들 재료는 국내 반도체 산업의 핵심위치에 있는 물질이다. 한국 산업의 근간이라 할 수 있는 메모리분야에 적용될 뿐만 아니라 TFT-LCD, 태양전지, 각종 센서, X-ray 사진 촬영기 개발에도 응용되고 있다. 본 논문에서는 Silicon-based 박막의 제조기법과 그에 따른 다양한 실리콘 박막 실리콘 트랜지스터를 이용한 능동형 액정과 유기발광 화소제어 활용, 센서 응용 부분에서 태양전지, X-ray 촬영기활용 분야에서 기술현황 시장분석을 통해 차세대 연구개발의 방향을 제시하고자 한다. 현재 국내에서 실리콘 박막의 가장 큰 응용 분야는 메모리 소자의 평판디스플레이의 TFT-LCD 시장이다. 그러나 실리콘 박막으로 가능한 응용분야는 아직 산업계에서 열매를 맺지 못한 분야가 더 많고 실제로 적용할 수 있는 분야의 다양함을 본 논문을 통해 소개한다.

• Interaction and multiscale mechanics
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• 제3권2호
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• pp.111-121
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• 2010

Dynamic analysis of nano/micro bio-sensors based on a multiscale atomistic/continuum theory is introduced. We use a generalized atomistic finite element method (GAFEM) to analyze a bio-sensor which has $3{\times}N_a{\times}N_p$ degrees of freedom, where $N_p$ is the number of representative unit cells and $N_a$ is the number of atoms per unit cell. The stiffness matrix is derived from interatomic potential between pairs of atoms. This work contains two studies: (1) the resonance analysis of nano bio-sensors with different amount of target analyte and (2) the dependence of resonance frequency on finite element mesh. We also examine the Courant-Friedrichs-Lewy (CFL) condition based on the highest resonance frequency. The CFL condition is the criterion for the time step used in the dynamic analysis by GAFEM. Our studies can be utilized to predict the performance of micro/nano bio-sensors from atomistic perspective.

• 한국측량학회지
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• 제34권6호
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• pp.619-627
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• 2016

Cells of a PV (photovoltaic) module can suffer defects due to various causes resulting in a loss of power output. As a malfunctioning cell has a higher temperature than adjacent normal cells, it can be easily detected with a thermal infrared sensor. A conventional method of PV cell inspection is to use a hand-held infrared sensor for visual inspection. The main disadvantages of this method, when applied to a large-scale PV power plant, are that it is time-consuming and costly. This paper presents an algorithm for automatically detecting defective PV panels using images captured with a thermal imaging camera from an UAV (unmanned aerial vehicle). The proposed algorithm uses statistical analysis of thermal intensity (surface temperature) characteristics of each PV module to verify the mean intensity and standard deviation of each panel as parameters for fault diagnosis. One of the characteristics of thermal infrared imaging is that the larger the distance between sensor and target, the lower the measured temperature of the object. Consequently, a global detection rule using the mean intensity of all panels in the fault detection algorithm is not applicable. Therefore, a local detection rule was applied to automatically detect defective panels using the mean intensity and standard deviation range of each panel by array. The performance of the proposed algorithm was tested on three sample images; this verified a detection accuracy of defective panels of 97% or higher. In addition, as the proposed algorithm can adjust the range of threshold values for judging malfunction at the array level, the local detection rule is considered better suited for highly sensitive fault detection compared to a global detection rule. In this study, we used a panel area extraction method that we previously developed; fault detection accuracy would be improved if panel area extraction from images was more precise. Furthermore, the proposed algorithm contributes to the development of a maintenance and repair system for large-scale PV power plants, in combination with a geo-referencing algorithm for accurate determination of panel locations using sensor-based orientation parameters and photogrammetry from ground control points.

• 인터넷정보학회논문지
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• 제17권6호
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• pp.1-8
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• 2016

기존의 실내 침입 탐지 및 대상 객체의 이동 경로 추정은 객체가 수신 장치를 갖고 있어야 하는 문제점과 단일 셀(약 $100cm{\times}100cm$)의 공간 내에 객체의 수와 이동 범위를 파악할 수 없는 문제가 지적되어 왔다. 이러한 방법을 해결하기 위해 보편적으로 사용되는 기술인 CCTV를 이용한 방법은 환경적인 변수로 인하여 상당히 제한적일 뿐만 아니라 음영 지역에서(e.g., 상황인식 시스템이 설치되지 않은 곳, 광량이 현저히 낮아 환경의 상황을 파악할 수 없을 경우) 서비스를 받을 수 없다. 이에 본 논문은 센서 네트워크(Sensor Network) 시스템 기반의 객체 탐지 및 대응의 범위 확대가 가능함과 동시에 대상 객체의 이동경로 추적을 능동적으로 대응할 수 있는 실내 보안감시 시스템을 제안한다. 제안된 시스템은 가상의 시나리오에 기반을 두어 구현되었으며, 기존 시설에서 발생할 수 있는 환경적인 단점인 신호의 단절 및 사물의 위치 추정에 대한 손실을 보완하며, 위급한 상황 및 객체에 대한 행동 패턴의 신속한 분석이 가능케 되어, 비상시 사고 예방 및 발생된 상황에 대한 유연한 대처가 가능하리라 사료된다.

• 한국식품위생안전성학회지
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• 제13권3호
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• pp.206-212
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• 1998

Salmonella spp.의 신속한 검출을 위하여 엷은 박막형태의 수정결정을 사용하는 압전류적(piesoelectric) 항체센서 시스템을 개발하고 증류수, 완충용액, 식염용액 등의 여러 매질 중에서 보여주는 진동 특성을 검토하였다. Salmonella spp. 균 구조항원(Common structural antigen)에 대한 항체를 수정결정에 PEI pre-coating, BSA 가교화, 3-APTES silanizaition, protein A와 DTBP thiolation의 5가지 방법에 의해 고정화한 후 항체 센서의 안정성을 살펴보았다. Salmonella 균을 주입하였을 때 Salmonella 균과 수정 결정에 고정화한 항체와의 결함반응에 의해 수정결정의 질량증가와 이에 따른 진동수 감소가 나타났다. 고정화방법 중 protein A와 DTBP를 이용하여 고정화하는 방법이 센서반응을 가장 안정적이고 재현성 있게 나타내줌을 알 수 있었다. $7.45{\times}10^{7}\;CFU/ml$의 Salmonella 균을 반응 cell 내에 주입하였을 때 protein A를 이용한 고정화의 경우 80Hz, DTBP를 이용한 고정화의 경우 283 Hz의 진동수 감소가 나타났으며, 압전류적 항체센서를 이용할 경우 40분 이내에 Salmonella spp.의 검출이 가능하였다.

• 사상체질의학회지
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• 제22권4호
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• pp.20-29
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• 2010

1. Objectives Our goal is to observe the feasibility of constitution discrimination from computing quantitative roughness index from dynamic friction coefficients and their gradients with the measurement device of skin friction with 3-Axis load cell sensor. 2. Methods In the traditional Korean medicine, skin diagnosis is one of the examination methods to discriminate Sasang constitution since it was known that Tae-eumin has rough skin, and Soyangin has smooth one. It is based on the skin roughness on the back of one's hand for the discrimination. The measurement device of skin friction with 3-axis load cell sensor has been developed in order to provide quantitative skin roughness through dynamic friction coefficients. The effective interval of the coefficients is obtained from the automatic sampling algorithm to use their curvature and slope. Then, Fisher's discriminant function of them makes the discrimination. 3. Results The success rate of extracting the effective interval was about 90% and the discriminant accuracy between Tae-eumin and Soyangin was 70% and 68% for men and women, respectively. The entire methods showed the possibility to distinguish between Tae-eumin and Soyangin by using stochastic properties of roughness index, which can make the entire system to include the measurement, the computation of the roughness index and the discrimination of constitution automatical. 4. Conclusions The measurement device, the automatic sampling algorithm of dynamic friction coefficients and the constitution discrimination algorithm were developed, respectively, and their combination can become the serial and automatic procedure for quantitative and objective skin diagnosis, which mimics the movement of the Oriental medical doctors' skin diagnosis. It can be applied to healthcare as well as the diagnosis of constitution in a u-Health system soon.

• 한국전자통신학회논문지
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• 제17권1호
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• pp.125-132
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• 2022

본 논문에서는 물류센터나 실내의 정해진 위치까지 짐을 자동으로 운반할 수 있는 카트를 라즈베리 파이4를 기반으로 구현하였다. 카트는 초음파 센서를 이용하여 장애물을 인식해 충돌을 방지하고 우회한다. RFID에 방향 제어 코드를 입력해 교차로나 목적지 등 주요 포인트에 설치하였고, 카트의 RFID 리더기가 RFID를 인식하면 정지하거나 상황에 따라 방향을 전환할 수 있도록 하였다. 운송이 끝난 후, 로드 셀(무게추 센서)이 물건이 내려짐을 인식하면 카트가 다시 출발 지점으로 돌아와 회수된다. 카트는 운송 과정에 필요한 인력의 소모를 줄이고 운송 과정을 편리하게 해결할 수 있도록 구현하였다.

• International Journal of Precision Engineering and Manufacturing
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• 제9권3호
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• pp.3-6
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• 2008

Electrolytic in-process dressing (ELID) grinding is a new technique for achieving a nanoscale surface finish on hard and brittle materials such as optical glass and ceramics. This process applies an electrochemical dressing on the metal-bonded diamond wheels to ensure constant protrusion of sharp cutting grits throughout the grinding cycle. In conventional ELID grinding, a constant source of pulsed DC power is supplied to the ELID cell, but a feedback mechanism is necessary to control the dressing power and obtain better performance. In this study, we propose a new closed-loop wheel dressing technique for grinding wheel truing that addresses the efficient correction of eccentric wheel rotation and the nonuniformity in the grinding wheel profile. The technique relies on an iterative control algorithm for the ELID power supply. An inductive sensor is used to measure the wheel profile based on the gap between the sensor head and wheel edge, and this is used as the feedback signal to control the pulse width of the power supply. We discuss the detailed mathematical design of the control algorithm and provide simulation results that were confirmed experimentally.