• 한국농림기상학회지
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• 제23권4호
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• pp.316-328
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• 2021

본 연구에서는 간척지의 염분 모니터링을 위한 다중 분광 센서를 개발하기 위해 400~1000 nm 초분광센서를 사용하여 봄 감자의 잎 Na 함량 예측 모델을 구축하고자 하였다. 관개조건은 표준, 한해, 염해(2, 4, 8 dS/m)로, 관수량은 증발량을 기준으로 산정하였다. 영양생장기, 괴경형성기, 괴경비대기에 각각 관개를 시작한 후 1주와 2주 후에 잎의 Na 함량을 측정하였다. 잎의 반사율은 10nm 파장 간격을 기준으로 5 nm에서 10nm, 25nm, 50nm FWHM (full width at half maximum)으로 변환되었다. PLS-VIP를 사용하여 봄 감자 잎의 Na 함량에 따른 염분 피해 수준을 예측하기 위한 10개의 밴드비가 선택되었다. 선택된 10개의 밴드비 중 가중치가 가장 낮은 순서대로 밴드비를 하나씩 제거하면서 MLR모델을 추정하였다. 모델의 성능은 R2, MAPE 뿐만 아니라 밴드비의 수, 다중 분광센서를 작게 만들기 위한 최적의 FWHM 수로 비교하였다. 1, 2주차의 영양생장기, 괴경형성기와 2주차의 괴경비대기에서 봄 감자의 잎 Na 함량을 예측하기 위해서는 25 nm의 FWHM을 사용하는 것이 유리하였다. 선택된 밴드필터는 430/440, 490/500, 500/510, 550/560, 570/580, 590/600, 640/650, 650/660, 670/680, 680/690, 690/700, 700/710, 710/720, 720/730, 730/740 nm로 Red 및 Red-edge 영역에서 15개 밴드비가 선택되었다.

• 센서학회지
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• 제13권3호
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• pp.236-243
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• 2004

In this paper, we proposed a brain-computer interface system using EEG signals. It can generate 4 direction command signal from EEG signals captured during imagination of subjects. Bandpass filter used for preprocessing to detect the brain signal, and the power spectrum at a specific frequency domain of the EEG signals for concentration status and non-concentration one is used for feature. In order to generate an adequate signal for controlling the 4 direction movement, we propose a new interface system implemented by using a support vector machine and a time-multiplexing method. Moreover, bio-feed back process and on-line adaptive pattern recognition mechanism are also considered in the proposed system. Computer experimental results show that the proposed method is effective to recognize the non-stational brain wave signal.

• Journal of Biosystems Engineering
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• 제34권1호
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• pp.15-20
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• 2009

This study was conducted to develop a moisture sensor for rapeseed, a bio-diesel material. A typical rapeseed, SUNMANG, was used as a raw material. The rapeseed moisture content sensor consists of three components, such as upper and bottom electrodes, a test material dish, and a fixing housing. To evaluate the performance, a data acquisition system was equipped with the rapeseed moisture sensor, computer, printer, and main board. The findings of this study were: 1) the rapeseed moisture content was inversely proportional to electric resistance, and 2) values of electric resistance were recorded in a range of $10{\sim}100\;M{\Omega}$, depending upon a change of the moisture content. The determination of coefficient ($R^2$) and standard error between rapeseed moisture content and electric resistance were 0.9921 and ${\pm}0.289$, which indicated a highly correlative relationship. The response of rapeseed moisture sensor to temperature change was also observed for further performance test. Satisfying results were obtained, such as the determination of coefficient ($R^2$) of 0.9918, predicted standard error of ${\pm}0.373%$, deviation of 0.103%, measurement error of $0.14{\sim}0.48%$, standard deviation of $0.01{\sim}0.22%$, and measurement time of 28.3 s per point, respectively.

• 대한전자공학회:학술대회논문집
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• 대한전자공학회 2006년도 하계종합학술대회
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• pp.775-776
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• 2006

Ad hoc network does not need any preexisting network infrastructure, and it has been developed as temporal networks in the various fields. Infostation is an efficient system to transfer information which does not have delay sensitive characteristics. In this paper, we propose a disaster emergency management system using sensor attached animals' mobility combined with infostation system. We also analyze the performance of the proposed system. From the performance analysis results, we expect that the proposed system will be very useful to early detect big forest fires which occurs frequently in Korea mountain areas.

• 농업과학연구
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• 제46권1호
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• pp.57-65
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• 2019

The purpose of this study was to develop an environment field monitoring system to measure crop growth. The environment field monitoring system consisted of sensors, a data acquisition system, and GPS. The sensors used in the environment field monitoring system consisted of an ambient sensor, a soil sensor, and an intensity sensor. The temperature and humidity of the atmosphere were measured with the ambient sensor. The temperature, humidity, and EC of the soil were measured with the soil sensor. The data acquisition system was developed using the Arduino controller. The field monitoring data were collected before a rainy day, on a rainy day, and after the rainy day. The measured data using the environment field monitoring system were compared with the Daejeon regional meteorological office data. The correlation between the data from the environment field monitoring system and the data from the Daejeon regional meteorological office was analyzed for performance evaluation. The correlation of the temperature and humidity of the atmosphere was analyzed because the Daejeon regional meteorological office only provided data for the temperature and humidity of the atmosphere. The correlation coefficients were 0.86 and 0.90, respectively. The result showed a good correlation between the data from the environment field monitoring system and the data from the Daejeon regional meteorological office. Therefore, the developed system could be applied to monitoring the field environment of agricultural crops.

• 한국진공학회:학술대회논문집
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• 한국진공학회 2014년도 제46회 동계 정기학술대회 초록집
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• pp.229.1-229.1
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• 2014

Tactile sensors have widely been researched in the areas of electronics, robotic system and medical tools for extending to the form of bio inspired devices that generate feeling of touch mimicking those of humans. Recent efforts in adapting the tactile sensor have included the use of novel materials with both scalability and high sensitivity [1]. Graphene, a 2-D allotrope of carbon, is a prospective candidate for sensor technology, having strong mechanical properties [2] and flexibility, including recovery from mechanical stress. In addition, its truly 2-D nature allows the formation of continuous films that are intrinsically useful for realizing sensing functions. However, very few investigations have been carrier out to investigate sensing characteristics as a device form with the graphene subjected to strain/stress and pressure effects. In this study, we present a sensor of vertical forces based on single-layer graphene, with a working range that corresponds to the pressure of a gentle touch that can be perceived by humans. In spite of the low gauge factor that arises from the intrinsic electromechanical character of single-layer graphene, we achieve a resistance variation of about 30% in response to an applied vertical pressure of 5 kPa by introducing a pressure-amplifying structure in the sensor. In addition, we demonstrate a method to enhance the sensitivity of the sensor by applying resistive single-layer graphene.

• 한국농업기계학회:학술대회논문집
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• 한국농업기계학회 2017년도 춘계공동학술대회
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• pp.156-156
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• 2017

Most crop damages have been occurred by vermin(e.g., wild birds and herbivores) during the period between seeding and the cotyledon level. In this study, to minimize the damage by vermin and acquire the benefits such as protection against weeds and maintenance of water content in soil, immediately vinyl mulching after seeding was devised. Vinyl mulching has been generally covered with black color vinyl, that crop seeding locations cannot be detected by visible light range. Before punching vinyl, non-contact and non-destructive methods that can continuously determine the locations are necessary. In this study, a crop position detection method was studied that uses infrared thermal image sensor to determine the cotyledon position under vinyl mulch. The moving system for acquiring image arrays has been developed for continuously detecting crop locations under plastic mulching on the field. A sliding mechanical device was developed to move the sensor, which were arranged in the form of a linear array, perpendicular to the array using a micro-controller integrated with a stepping motor. The experiments were conducted while moving 4.00 cm/s speed of the IR sensor by the rotational speed of the stepping motor based on a digital pulse width modulation signal from the micro-controller. The acquired images were calibrated with the spatial image correlation. The collected data were processed using moving averaging on interpolation to determine the frame where the variance was the smallest in resolution units of 1.02 cm. For this study, the spline method was relatively faster than the other polynomial interpolation methods, because it has a lower maximum order of formulation when using a system such as the tridiagonal linear equation system which provided the capability of real-time processing. The temperature distribution corresponding to the distance between the crops was 10 cm, and the more clearly the leaf pattern of the crop was visually confirmed. The frequency difference was decreased, as the number of overlapped pixels was increased. Also the wave pattern of points where the crops were recognized were reduced.

• 대한환경공학회지
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• 제28권4호
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• pp.453-458
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• 2006

수질의 빠르고 정확한 COD(Chemical Oxygen Demand)의 측정을 위하여 전극표면 연마장치가 부착된 전기화학적 측정 센서시스템을 연구하였다. 수질 내 유기물에 대한 Cu의 산화작용이 COD 측정의 기본원리로 이용되었으며, 3전극계를 적용한 전기화학 셀을 COD 측정시스템에 적용하였다. 장시간의 COD 측정에 대비하여, Cu전극의 내구성과 안정성을 유지시키기 위해 회전되는 연마석을 이용한 자동연마장치를 부착하였다. 유기물을 함유한 인공시료 및 실제 현장시료를 이용하여 COD 변화에 대한 측정가능성을 실험하였고, $COD_{Mn}$ 수치와 COD 측정용 센서를 이용하여 측정한 Coulombic yield와의 사이에 높은 상관관계($r^2=0.93$)를 가지며 이 측정값을 EOD(electrochemical oxygen demand)로 표현할 수 있다는 것을 확인하였다. 이러한 측정 결과를 토대로 이 시스템이 폐수처리장 및 하수에 연속 COD 측정 장치로 적용할 수 있는 가능성이 있을 것으로 확인하였다.

• 생물환경조절학회지
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• 제31권4호
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• pp.452-459
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• 2022

스마트팜 요소들 중에서 중요한 요인 중 하나는 환경 계측이다. 본 연구에서는 오픈 소스 프로그램인 아두이노, 앱 인벤터와 노드 레드를 이용하여 로라와 블루투스 무선 통신을 통한 환경 계측 모니터링 시스템을 설계하였다. 이 시스템은 아두이노, 로라 쉴드, 온습도 센서(SHT10), 이산화탄소 센서(K30)로 구성되었다. 아두이노(Arduino) 프로그램에서 사용된 라이브러리로는 LoRa.h, Sensirion.h, LiquidCrystal_I2C.h와 K30_I2C.h를 사용하였다. 일정한 주기로 센서에서 환경 데이터를 받을 때, 데이터의 안정화를 위해 평균값을 사용한 코딩을 사용하였다. 사용자 인터페이스로 노드 레드와 앱 인벤터 프로그램을 이용하여 안드로이드 기반의 앱을 개발하였다. 아두이노의 시리얼 화면과 스마트 폰의 화면 및 노드 레드의 사용자 인터페이스에 출력되는 화면으로 센서에 위한 환경 자료가 잘 수집되어 디스플레이되는 것을 볼 수 있었다. 이러한 오픈소스 기반의 플랫폼과 프로그램들은 다양한 농업 응용 분야에 적용될 것이다.

• 센서학회지
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• 제20권2호
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• pp.137-144
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• 2011

Wireless sensor network(WSN) has the potential to greatly effect many aspects of u-healthcare. By outfitting the potential with WSN, wearable sensor node can collects real-time data on physiological status and transmits through base station to server PC. However, there is a significant gap between WSN and healthcare. WSN has the limited resource about computing capability and data transmission according to bio-sensor sampling rates and channels to apply healthcare system. If a wearable node transmits ECG and accelerometer data of 4 channel sampled at 100 Hz, these data may occur high loss packets for transmitting human activity and ECG to server PC. Therefore current wearable sensor nodes have to solve above mentioned problems to be suited for u-healthcare system. Most WSN based activity and ECG monitoring system have been implemented some algorithms which are applied for signal vector magnitude(SVM) algorithm and ECG noise algorithm in server PC. In this paper, A wearable sensor node using integrated ECG and 3-axial accelerometer based on wireless sensor network is designed and developed. It can form multi-hop network with relay nodes to extend network range in WSN. Our wearable nodes can transmit 1-channel activity data processed activity classification data vector using SVM algorithm to 3-channel accelerometer data. ECG signals are contaminated with high frequency noise such as power line interference and muscle artifact. Our wearable sensor nodes can remove high frequency noise to clear original ECG signal for healthcare monitoring.