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박강호,최낙진,양우석,이홍열,이상균,최창억,김종대,Park, K.H.,Choi, N.J.,Yang, W.S.,Lee, H.Y.,Lee, S.K.,Choi, C.A.,Kim, J.D. 한국전자통신연구원 2009 전자통신동향분석 Vol.24 No.6
지능형 센서 네트워크 기반의 첨단 IT 시스템을 이용한 실시간 환경 관리 및 보안 서비스를 제공하는 스마트 빌딩에서 다양한 빌딩내 환경 및 보안 정보를 감지하여 실시간으로 전달, 판단, 처리 및 제어할 수 있는 지능형 센서노드 플랫폼의 핵심 부품인 각종 센서의 제품 기술과 산업 현황을 분석하고 관련 센서 기술 및 산업의 미래 전망을 예측하였다.
뉴로모픽 감각 인지 기술 동향 - 촉각, 후각을 중심으로
박강호,이형근,강유성,김도엽,임정욱,제창한,윤조호,김정연,이성규,K.-H. Park,H.-K. Lee,Y. Kang,D. Kim,J.W. Lim,C.H. Je,J. Yun,J.-Y. Kim,S.Q. Lee 한국전자통신연구원 2023 전자통신동향분석 Vol.38 No.6
In response to diverse external stimuli, sensory receptors generate spiking nerve signals. These generated signals are transmitted to the brain along the neural pathway to advance to the stage of recognition or perception, and then they reach the area of discrimination or judgment for remembering, assessing, and processing incoming information. We review research trends in neuromorphic sensory perception technology inspired by biological sensory perception functions. Among the various senses, we consider sensory nerve decoding technology based on sensory nerve pathways focusing on touch and smell, neuromorphic synapse elements that mimic biological neurons and synapses, and neuromorphic processors. Neuromorphic sensory devices, neuromorphic synapses, and artificial sensory memory devices that integrate storage components are being actively studied. However, various problems remain to be solved, such as learning methods to implement cognitive functions beyond simple detection. Considering applications such as virtual reality, medical welfare, neuroscience, and cranial nerve interfaces, neuromorphic sensory recognition technology is expected to be actively developed based on new technologies, including combinatorial neurocognitive cell technology.
졸-겔법으로 증착된 ZnO 나노막대를 이용한 고감도 이산화질소 가스 센서 제작 및 특성 연구
박소정 ( S. J. Park ),곽준혁 ( J. H. Kwak ),박종혁 ( J. H. Park ),이홍열 ( H. Y. Lee ),문승언 ( S. E. Moon ),박강호 ( K. H. Park ),김종대 ( J. Kim ),김규태 ( G. T. Kim ) 한국센서학회 2008 센서학회지 Vol.17 No.2
Multiple ZnO nanorod device detecting NO2 gas was fabricated by sol-gel growth method and gas response characteristics were measured as a chemical gas sensor. The device is mainly composed of sensing electrode and sensing nano material. To acquire high sensitivity of the device for NO2 gas it was heated by a heat chuck up to 400oC. The sensing part was easily made using the CMOS compatible process, for example, the large area and low temperature nano material growth process, etc. The sensors were successfully demonstrated and showed high sensitive response for NO2 gas sensing.
스마트 IT 융합 플랫폼을 위한 지능형 센서 기술 동향
김혜진,진한빛,염우섭,김이경,박강호,Kim, H.J.,Jin, H.B.,Youm, W.S.,Kim, Y.G.,Park, K.H. 한국전자통신연구원 2019 전자통신동향분석 Vol.34 No.5
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.