• 한국콘텐츠학회논문지
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• 제17권12호
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• pp.138-147
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• 2017

본 논문에서는 농작물의 생육 관리를 위하여 농작물에 설치된 센서 정보를 수집하고 모니터링 할 수 있는 스마트 멀티 센서와 환경 모니터링 시스템 소개하고자 한다. 기존의 농작물 모니터링 시스템에서는 각 센서의 정보를 취득하기 위해 센서를 종류별로 농작물에 설치하였다. 이 과정에서 각 센서들의 설치 비용이 발생하며 센서 설치 위치를 수동으로 설정해야 하는 번거로움이 있었다. 따라서 본 논문에서는 센서의 설치 비용을 최소화하기 위하여 센서들을 단일화한 스마트 멀티 센서를 설계 및 구현하였고 RFID 통신을 이용하여 설치된 스마트 멀티 센서의 위치 정보 및 센서 정보를 모니터링 할 수 있도록 설계하였다.

• 한국산학기술학회논문지
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• 제14권10호
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• pp.4799-4804
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• 2013

저탄소 녹색 환경 조성 및 성장을 위한 그린 IT 기술 개발은 미래형 신기술 분야이다. 따라서, 본 논문에서는 응용 RFID 모듈에 대한 보안 데이터를 생성하여 건물 환경에 대한 통합 감시 및 관리를 할 수 있는 스마트 그린빌딩 조성용 다기능 센서 통합 모듈 시스템을 개발하였다. 논문에서 구현한 다기능 센서 통합 모듈 시스템은 열 감지센서, 온도 감지센서, 스모그 감지센서, CO2 감지센서, O2 감지센서, 장력 감지센서 및 파손 감지센서를 통합 모듈로 개발하고 이를 실시간으로 모니터링 해줌으로써 건물 내부 환경에 대한 스마트 그린빌딩 환경을 구현할 수 있는 시스템을 설계, 개발하였다.

• Smart Structures and Systems
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• 제30권6호
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• pp.583-599
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• 2022

In this paper, a multi-objective wireless sensor network configuration optimization method is proposed. The proposed method aims to determine the optimal information and lifespan wireless sensor network for structural health monitoring of large-scale infrastructures. In particular, cluster-based wireless sensor networks with multi-type of sensors are considered. To optimize the lifetime of the wireless sensor network, a cluster-based network optimization algorithm that optimizes the arrangement of cluster heads and base station is developed. On the other hand, based on the Bayesian inference, the uncertainty of the estimated parameters can be quantified. The coefficient of variance of the estimated parameters can be obtained, which is utilized as a holistic measure to evaluate the estimation accuracy of sensor configurations with multi-type of sensors. The proposed method provides the optimal wireless sensor network configuration that satisfies the required estimation accuracy with the longest lifetime. The proposed method is illustrated by designing the optimal wireless sensor network configuration of a cable-stayed bridge and a space truss.

• 센서학회지
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• 제27권3호
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• pp.186-191
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• 2018

Smart textile industries have been precipitously developed and extended to electronic textiles and wearable devices in recent years. In particular, owing to an increasingly aging society, the elderly healthcare field has been highlighted in the smart device industries, and pressure sensors can be utilized in various elderly healthcare products such as flooring, mattress, and vital-sign measuring devices. Furthermore, elderly healthcare products need to be more lightweight and flexible. To fulfill those needs, textile-based pressure sensors is considered to be an attractive solution. In this research, to apply a textile to the second layer using a pressure sensing device, a novel type of conductive textile was fabricated using vapor phase polymerization of poly(3,4-ethylenedioxythiophene) (PEDOT). Vapor phase polymerization is suitable for preparing the conductive textile because the reaction can be controlled simply under various conditions and does not need high-temperature processing. The morphology of the obtained PEDOT-conductive textile was observed through the Field Emission Scanning Electron Microscope (FESEM). Moreover, the resistance was measured using an ohmmeter and was confirmed to be adjustable to various resistance ranges depending on the concentration of the oxidant solution and polymerization conditions. A 3-layer 81-point multi-pressure sensor was fabricated using the PEDOT-conductive textile prepared herein. A 3D-viewer program was developed to evaluate the sensitivity and multi-pressure recognition of the textile-based multi-pressure sensor. Finally, we confirmed the possibility that PEDOT-conductive textiles could be utilized by pressure sensors.

• 한국생산제조학회지
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• 제24권1호
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• pp.103-109
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• 2015

This paper introduces a multi-purpose smart fusion sensor. Normally, this type of sensor can contribute to energy savings specifically related to lighting and heating/air conditioning systems by detecting individuals in an office building. If a fire occurs, the sensor can provide information regarding the presence and location of residents in the building to a management center. The system consists of four sensors: a thermopile sensor for detecting heat energy, an ultrasonic sensor for measuring the distance of objects from the sensor, a fire detection sensor, and a passive infrared sensor for detecting temperature change. The system has a wireless communication module to provide the management center with control information for lighting and heating/air conditioning systems. We have also demonstrated the usefulness of the proposed system by applying it to a real environment.

• 한국멀티미디어학회논문지
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• 제17권8호
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• pp.1020-1024
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• 2014

The environment information such as dust, temperature, humidity, illumination and gas are very important in daily life. We implemented multi-sensor system which made for measuring an environment by using Arduino, ZigBee, and Appinventor. We also designed a packet for transmitting environment data. The data are sent to the server via ZigBee and then it communicates to a smart phone via WI-Fi. In this study, we added divers sensors, designed a protocol which made for transfer several kinds of data and improve mobility for real time monitoring by using smart phones. The system was worked well and the data was transmitted correctly to the smart phone.

• 동력기계공학회지
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• 제13권1호
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• pp.65-71
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• 2009

To address the need for new intelligent sensing, this paper introduces nano sensors made of carbon nanotube (CNT) composites and presents their preliminary experiments. Having smart material properties such as piezoresistivity, chemical and bio selectivity, the nano composite can be used as smart electrodes of the nano sensors. The nano composite sensor can detect structural deterioration, chemical contamination and bio signal by means of its impedance measurement (resistance and capacitance). For a structural application, the change of impedance shows specific patterns depending on the structural deterioration and this characteristic is available for an in-situ multi-functional sensor, which can simultaneously detect multi symptoms of the structure. This study is anticipated to develop a new nano sensor detecting multiple symptoms in structural, chemical and bio applications with simple electric circuits.

• 한국멀티미디어학회논문지
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• 제16권8호
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• pp.962-971
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• 2013

본 논문은 멀티센서를 장착한 스마트의류에서 수집된 데이터를 기반으로 사용자 상황 및 행동을 추론하는 기법을 제안하고 이를 스마트폰 앱으로 구현하였다 제안된 스마트 의류는 자이로, 온도, 가속도 센서로 착용자의 건강상태와 활동 수준을 모니터링 할 수 있다. 스마트의류에 생체신호는 블루투스로 스마트폰에 전달된다. 이를 통해, 사용자는 스마트 앱에서 사용자의 상태와 활동수준에 대한 실시간 정보를 확보할 수 있다. 멀티 센서로 사용자 상황 및 행동 추론은 매우 어려우며, 외 내부 환경, 온도, 진동 등에 따라 센서의 측정값이 달라지는 잡음환경에서, 잡음을 줄이면서도 사용자 행동을 판단할 수 있는 디지털 필터와 추론 알고리즘이 요구된다. 본 논문에서는 멀티블록필터를 적용하고, 행동인지를 위한 3축 값을 하나의 대표 값으로 처리하는 SVM을 사용하였다.

• Smart Structures and Systems
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• 제9권2호
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• pp.145-164
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• 2012

In this paper, solar-powered, multi-scale, vibration-impedance sensor node on Imote2 platform is presented for hybrid structural health monitoring (SHM) in cable-stayed bridge. In order to achieve the objective, the following approaches are proposed. Firstly, vibration- and impedance-based hybrid SHM methods are briefly described. Secondly, the multi-scale vibration and impedance sensor node on Imote2-platform is presented on the design of hardware components and embedded software for vibration- and impedance-based SHM. In this approach, a solar-powered energy harvesting is implemented for autonomous operation of the smart sensor nodes. Finally, the feasibility and practicality of the smart sensor-based SHM system is evaluated on a full-scale cable-stayed bridge, Hwamyung Bridge in Korea. Successful level of wireless communication and solar-power supply for smart sensor nodes are verified. Also, vibration and impedance responses measured from the target bridge which experiences various weather conditions are examined for the robust long-term monitoring capability of the smart sensor system.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제7권9호
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• pp.2213-2231
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• 2013

Compressed sensing is a novel technology used in the field of wireless communication and sensor networks for channel estimation, signal detection, data gathering, network monitoring, and other applications. It plays a significant role in highly secure, real-time, well organized, and cost-effective data communication in smart-grid (SG) systems, which consist of multi-tier network standards that make it challenging to synchronize in power management communication. In this paper, we present a multi-layer communication model for SG systems and propose compressed-sensing based data transmission at every layer of the SG system to improve data transmission performance. Our approach is to utilize the compressed-sensing procedure at every layer in a controlled manner. Simulation results demonstrate that the proposed monitoring devices need less transmission power than conventional systems. Additionally, secure, reliable, and real-time data transmission is possible with the compressed-sensing technique.