• 전자통신동향분석
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• 제34권5호
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• pp.14-25
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• 2019

As the Internet of Things, artificial intelligence and big data have received a lot of attention as key growth engines in the era of the fourth industrial revolution, data acquisition and utilization in mobile, automotive, robotics, manufacturing, agriculture, health care and national defense are becoming more important. Due to numerous data-based industrial changes, demand for sensor technologies is exploding, especially for intelligent sensor technologies that combine control, judgement, storage and communication functions with the sensors's own functions. Intelligent sensor technology can be defined as a convergence component technology that combines intelligent sensor units, intelligent algorithms, modules with signal processing circuits, and integrated plaform technologies. Intelligent sensor technology, which can be applied to variety of smart IT convergence services such as smart devices, smart homes, smart cars, smart factory, smart cities, and others, is evolving towards intelligent and convergence technologies that produce new high-value information through recognition, reasoning, and judgement based on artificial intelligence. As a result, development of intelligent sensor units is accelerating with strategies for miniaturization, low-power consumption and convergence, new form factor such as flexible and stretchable form, and integration of high-resolution sensor arrays. In the future, these intelligent sensor technologies will lead explosive sensor industries in the era of data-based artificial intelligence and will greatly contribute to enhancing nation's competitiveness in the global sensor market. In this report, we analyze and summarize the recent trends in intelligent sensor technologies, especially those for four core technologies.

• 한국건축시공학회:학술대회논문집
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• 한국건축시공학회 2012년도 춘계 학술논문 발표대회
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• pp.39-40
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• 2012

Construction IT convergency proposes advanced management abilities of a construction project. Sensing data provided by various sensor technologies can be utilized for diverse management areas. This study analyzes required functions of sensors for implementing time, cost, safety and quality management, focusing on the ground works including excavation, pipe installation, retaining wall etc. Therefore, this study first generates essential management areas, analyzes cutting-edge sensor technologies appropriated for the areas, and finally proposes a matrix system that represents relationships between the management areas and sensor technologies, The proposed system is expected to reinforce construction management abilities by integrating sensor technologies.

• 전자통신동향분석
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• 제34권4호
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• pp.76-88
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• 2019

With advances in olfactory sensor technologies, the number of reports on various intelligent applications using multiple sensors (sensor arrays) are continuously increasing for fields such as medicine, environment, security, etc. For intelligent and point-of-care applications, it is not only important for the sensor technology to perform chemical or physical measurements rapidly and accurately, but it is also important for artificial intelligence technology to recognize and quantify specific chemicals or diagnose diseases such as lung cancer and diabetes. In particular, great advances in pattern recognition technologies, including deep learning algorithms, as well as sensor array technologies, are expected to enhance the potential of various types of olfactory intelligence applications, including early cancer diagnosis, drug seeking, military operations, and air pollution monitoring.

• 한국전자통신학회논문지
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• 제4권1호
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• pp.70-77
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• 2009

본 논문에서는 21세기의 사회적 환경적 그리고 기술 발전의 방향까지도 대표하는 유비쿼터스 환경에 적합한 센서 네트워크 기술에 대해 발전 동향을 살펴본다. 지금 연구되고 있는 다양한 유비쿼터스 센서 네트워크의 기술들을 이해하고 앞으로의 발전 방향을 예측하기 위해 센서 네트워크 기술 개요를 살펴보고, 센서 네트워크의 요소기술인 하드웨어 플랫폼과 센서 OS 기술을 알아보며, 센서 인터페이스 기술과 센서 미들웨어에 대해 연구한다.

• 센서학회지
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• 제31권6호
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• pp.403-410
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• 2022

Flexible and wearable sensing technologies have emerged as a result of developments in interdisciplinary research across several fields, bringing together various subjects such as biology, physics, chemistry, and information technology. Moreover, various types of flexible wearable biocompatible devices, such customized medical equipment, soft robotics, bio-batteries, and electronic skin patches, have been developed over the last several years that are extensively employed to monitor biological signals. As a result, we present an updated overview of new bio-implantable sensor technologies for various applications and a brief review of the state-of-the-art technologies.

• 센서학회지
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• 제24권5호
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• pp.281-286
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• 2015

The importance of air quality monitoring is rapidly increasing. Even though state-of-the-art air quality monitoring technologies such as mass spectrometry, gas chromatography, and optical measurement enable high-fidelity measurement of air pollutants, they cannot be widely used for portable or personalized platforms because of their high cost and complexity. Recently, personalized and localized environmental monitoring, rather than global and averaged environmental monitoring, has drawn greater attention with the advancement of mobile telecommunication technologies. Here, micro- and nano-technologies enable highly integrated and ultra-compact sensors to meet the needs of personalized environmental monitoring. In this paper, several examples of MEMS-based gas sensors for compact and personalized air quality monitoring are explained. Additionally, the principles and usage of functional nanomaterials are discussed for highly sensitive and selective gas sensors.

• 디지털콘텐츠학회 논문지
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• 제13권1호
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• pp.129-139
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• 2012

최근 소형화, 저가격, 저전력 기술의 발달에 힘입어 무선 통신이 가능한 스마트 센서 기술이 발전하고 있다. 특히 스마트 센서의 소형화 기술인 MEMS (micro-electro-mechanical system) 및 NEMS(nano-electro mechanical system) 기반의 센서 기술을 바탕으로 무선 센서 네트워크에 대한 연구가 활발하게 진행되고 있다. 그러나 무선 센서 네트워크는 각종 물리적 자원에 대한 제약이 심하기 때문에 네트워크 보안을 유지하기 어렵다. 본 논문에서는 무선 센서 네트워크 환경에서 제한된 자원으로 안전한 키 확립하는 방법과 센싱된 정보의 암호화를 위해 사용할 수 있는 키 관리 메커니즘 및 키 관리 프로토콜, 보안 기술을 위한 제안한다.

• 한국컴퓨터정보학회논문지
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• 제15권10호
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• pp.137-145
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• 2010

본 논문은 USN(Ubiquitous Sensor Network) 기술 기반의 적외선 센서를 사용한 비접촉식 식물 생장 측정 시스템을 제안한다. 제안된 시스템은 식물 생장을 측정할 때 식물의 생장 피해를 줄이기 위하여 비접촉 센서를 사용하였다. 이 시스템은 직경, 단면적, 비대 형상과 같은 식물 생장 요소를 실시간 비접촉 방식으로 측정할 수 있다. 측정된 데이터는 센서 네트워크 기술을 사용하여 원격 서버까지 전송되고, 서버에서 저장 및 분석되며, 최종적으로 분석된 데이터는 사용자에게 제공될 수 있도록 구성하였다. 본 논문에서 제안된 식물 생장 측정시스템은 측정 방식과 장치에 비접촉 적외선 센서를 사용하여 설계 및 구현을 하였다. 그리고 시스템의 성능은 필드에서 측정 실험을 통하여 검증해 보았다.

• 한국ITS학회 논문지
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• 제21권4호
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• pp.157-166
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• 2022

IoT 기술 중에서 가장 많이 쓰이는 무선 통신 기술에는 ZigBee, WiFi, Bluetooth, Z-Wave 등이 있다. 그 중에서 Z-Wave는 현재 세계 시장 점유율이 60%로 선호하는 기술 중 하나이다. 본 논문에서는 Z-Wave 프로토콜을 이용한 온습도 센서 모듈을 구현하였다. 온습도 센서 모듈의 동작을 위하여 Z-Wave 프로토콜을 분석하고, 컨트롤러 모듈의 펌웨어를 탑재하여 구현하였고, 센서 모듈은 데이터 시트를 참고하여 설계 및 제작하였다. 또한 센서의 온습도 정보를 모니터링하는 프로그램을 개발하여 이를 확인하였으며, Z-Wave 모듈의 통달거리 시험, 수신데이터 성공률, 저전력 시험 등을 통하여 성능을 확인하였다.

• 센서학회지
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• 제25권4호
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• pp.257-263
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• 2016

Among several technologies related to human brain, Brain Computer Interface (BCI) system is one of the most notable technologies recently. Conventional BCI for direct communication between human brain and machine are discomfort because normally electroencephalograghy(EEG) signal is measured by using multichannel EEG sensor. In this study, we propose 2-channel EEG sensor-based application control system which is more convenience and low complexity to wear to get EEG signal. EEG sensor module and system algorithm used in this study are developed and designed and one of the BCI methods, Motor Imagery (MI) is implemented in the system. Experiments are consisted of accuracy measurement of MI classification and driving control test. The results show that our simple wearable system has comparable performance with studies using multi-channel EEG sensor-based system, even better performance than other studies.