• 한국공작기계학회논문집
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• 제13권1호
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• pp.22-27
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• 2004

A new method that estimates the sensing ability of HH smart sensor is proposed. The new signal processing method have been developed that can distinguish among different materials relatively. The HH smart sensor was developed far recognition of materials. The HH smart sensor was made for experiment. Then, it was estimated the ability to recognize objects according to acceleration value. The sensing ability of HH smart sensor has been estimated with the $R_{SAI}$ method. Experiments and analysis were executed to estimate the ability to recognize objects according to acceleration value changing. Dynamic characteristics of HH smart sensor were evaluated relatively through a new $R_{SAI}$ method that uses the power spectrum density. Applications of this method are for finding abnormal conditions of objects (auto-manufacturing), feeling of objects (medical product), robotics, safety diagnosis of structure, etc.

• Smart Structures and Systems
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• 제12권3_4호
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• pp.399-414
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• 2013

The smart sensor technology has opened new horizons for assessing and monitoring structural health of civil infrastructure. Smart sensor's unique features such as onboard computation, wireless communication, and cost effectiveness can enable a dense network of sensors that is essential for accurate assessment of structural health in large-scale civil structures. While most research efforts to date have been focused on realizing wireless smart sensor networks (WSSN) on bridge structures, relatively less attention is paid to applying this technology to buildings. This paper presents a decentralized damage detection using the WSSN for building structures. An existing flexibility-based damage detection method is extended to be used in the decentralized computing environment offered by the WSSN and implemented on MEMSIC's Imote2 smart sensor platform. Numerical simulation and laboratory experiment are conducted to validate the WSSN for decentralized damage detection of building structures.

• 한국구조물진단유지관리공학회 논문집
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• 제11권2호
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• pp.134-144
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• 2007

본 연구에서는 구조물의 모니터링 시스템을 위하여 최근에 급속하게 발전하는 스마트 센서 기술을 이용하여 스마트 센서 장치를 개발하였고 다양한 실험을 통하여 개발한 스마트 센서의 기본적 성능 평가와 모형 구조물을 이용한 손상 검출 실험을 실시하였다. 본 논문은 Part 1로써 스마트 센서의 개발과 성능 평가에 관한 것이고 Part 2에서는 스마트 센서를 이용한 손상 검출 결과를 유선 계측 시스템을 이용한 실험결과와 비교하였다. 스마트 센서는 고 출력의 무선 모뎀과 고 성능 MEMS 센서, AVR 마이크로컨트롤러를 이용하여 개발하였으며 센서의 제어와 운영을 위한 임베디드 프로그램을 개발하였다. 스마트 센서의 성능을 검증하기 위하여 민감도와 분해능 분석 실험과 캔틸레버 보와 가진기를 이용한 데이터 획득 실험, 실 구조물을 이용한 현장 적용 실험을 실시하였다. 실험 결과, 개발한 스마트 센서의 성능에 대한 만족스런 결과를 얻었다.

• Smart Structures and Systems
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• 제4권5호
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• pp.517-530
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• 2008

This paper deals with civil infrastructures in general, sensor and smart structure technology, and smart steel structures in particular. Smart structures technology, an integrated engineering field comprising sensor technology, structural control, smart materials and structural health monitoring, could dramatically transform and revolutionize the design, construction and maintenance of civil engineering structures. The central core of this technology is sensor and sensor networks that provide the essential data input in real time for condition assessment and decision making. Sensors and robust monitoring algorithms that can reliably detect the occurrence, location, and severity of damages such as crack and corrosion in steel structures will lead to increased levels of safety for civil infrastructure, and may significantly cut maintenance or repair cost through early detection. The emphasis of this paper is on sensor technology with a potential use in steel structures.

• Journal of information and communication convergence engineering
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• 제6권2호
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• pp.207-212
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• 2008

There are several sensors in the liquid cargo ship. In the liquid cargo ship, we can get values from various sensors that are level sensor, temperature sensor, pressure sensor, oxygen sensor, VOCs sensor, high overfill sensor, etc. It is important to guarantee the reliability of sensors. In order to guarantee the reliability of sensors, we have to study the diagnosis of sensor fault. The technology of smart sensor is widely used. In this paper, the technology of smart sensor is applied to diagnosis of level sensor fault for liquid cargo ship. In order to diagnose sensor fault and find the sensor position, in this paper, we proposed algorithms of diagnosis of sensor fault using independent sensor diagnosis unit and self fault diagnosis using sensor modeling. Proposed methods are demonstrated by experiment and simulation. The results show that the proposed approach is useful. Proposed methods are useful to develop smart level sensor.

• 한국의류산업학회지
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• 제10권4호
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• pp.473-478
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• 2008

Since the late 1990, "Smart clothing" has been developed in a various way to meet user centered design and human engineering that considered usability, wearability with clothing. Under this circumstance, research and development of smart clothing has been demanded usability and wearability test. But, Study of the usability evaluation for sensor based smart clothing is insufficient. In this study, we suggest criterion of usability evaluation for sensor based smart clothing that evaluate on the point of view such as wearability of clothing, interaction of clothing and devices, interaction of body and devices. we performed qualitative and quantitative test with developed smart clothing to present usability evaluation criterion for sensor based smart clothing. As a result, total 7 categories such as 'usefulness', 'wearability', 'appearance', 'riskness', 'facility of management', 'perceived change', were extracted as the usability and wearability criterion. Additionally, 28 factors of evaluation criterion for sensor based smart clothing were indicated on the result of this research. This study have meaning to indicate usability evaluation criterion for sensor based smart clothing.

• 한국정보전자통신기술학회논문지
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• 제9권6호
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• pp.624-629
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• 2016

Recently various types of disaster monitoring system using smart-phones are under active studying. In this paper, we propose a system that automatically performs the disaster and fire detection. Additionally we implement the Arduino-based smart image sensor system in the web platform. When a fire is detected, an SMS is sent to the Fire and Disaster Management Agency. In order to improve fire detection probability, we proposed a smart Arduino fire detection sensor simulation which searches the smart sensor inference algorithm using fuzzy rules.

• 정보통신설비학회논문지
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• 제9권4호
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• pp.147-152
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• 2010

Gas sensor array can be widely applied to atmosphere environment, quality control of food, and medical fields etc. So for the commercialization and popularization of sensor technology, this paper looked into the method to provide users with general purpose smart phone and gas sensor array linked together. The reviewed system can detect unknown gas in the air and inform users using smart phone by arraying 8 kinds of common use gas sensor. This system is composed of the sensor module, communication module between sensor array and smart phone application software. In this paper, this prototype system demonstrate convincingly that the application of Gas sensor array to smart phone is a good outlook.

• 전자공학회논문지SC
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• 제45권6호
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• pp.82-94
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• 2008

웹 센서는 원격지 사용자에게 측정된 센서 데이터와 관련된 정보를 전송하는데 목적이 있다. 웹 센서는 사용자가 원격지에 존재하기 때문에 센서의 정보를 신뢰 할 수 있어야 하고, 센서들의 진단이 쉽게 다루어져야 한다. 이러한 문제를 해결하기위해 센서를 스마트화시키는 IEEE 1451이 발표되었다. 본 연구에서는 스마트 웹 센서를 제안한다. 제안된 스마트 웹 센서는 IEEE 1451.0을 기반으로, 대부분의 센서 인터페이스에 사용이 가능하고, TEDS 정보를 이용하여 스마트 센서를 구현할 수 있다. 또 한 XML을 이용하여 사용하기 쉬운 웹 서비스로 원격지 사용자가 센서의 모든 정보를 쉽게 다룰 수 있게 한다. 본 연구에서는 스마트 웹 센서를 위한 참조 모델을 제시하고, 가스 센서를 이용한 웹서비스의 구현을 통해 유용함을 증명한다.

• 한국정밀공학회지
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• 제19권1호
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• pp.48-55
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• 2002

This paper deals with the sensing ability of the smart sensor that has the sensing ability to distinguish materials according to the input condition changing. This is a study of dynamic characteristics of sensor. We have developed a new signal processing method that can distinguish among different materials. The smart sensor was developed for recognition of materials. Experiments and analysis were executed to estimate ability to recognize objects according to the input condition. First, we developed the advanced smart sensor. Second, we developed the new method, which has the capability sensing of different materials. Dynamic characteristics of the smart sensor were evaluated relatively through a new $R_{SAI}$ method. According to frequency changing, influence of the smart sensor are evaluated through a new recognition index ($R_{SAI}$) that ratio of sensing ability index. Applications of this method are for finding abnormal conditions of objects (auto-manufacturing), feeling of objects (medical product), robotics, safely diagnosis of structure, etc.