• 제어로봇시스템학회논문지
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• 제19권10호
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• pp.896-900
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• 2013

In this paper, we develop a dust detection sensor system capable of identifying types of dust for an improvement of a robot vacuum cleaner. The dust detection sensor system is composed of a set of infra-red sensors: a single transmitter and multiple receivers. Given the fixed amount of light transmitted from the transmitter, the amount of light coming in multiple receiver sensors varies, depending on the type and density of dust that is passing between the transmitter and the receivers. Therefore, the type of dust can be identified by means of observing the change of the amount of light from the receiver sensors. For experiments, we use two types of dust, rice and sesame, and validate the effectiveness of the proposed method.

• International journal of advanced smart convergence
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• 제9권1호
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• pp.63-69
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• 2020

The rapid development in modern industrialization pollutant the water and atmospheric air across the globe that have a major impact on the human and livings health. In worldwide, every country government increasing the importance to improve the outdoor air pollution monitoring and control to provide quality of life and prevent the citizens and livings life from hazard disease. We proposed the environmental dust level detection method for outdoor facilities using sensor fusion technology to measure precise micro-dust level and monitor in realtime. In this proposed approach use the camera sensor and commercial dust level sensor data to predict the micro-dust level with data fusion method. The camera sensor based dust level detection uses the optical flow based machine learning method to detect the dust level and then fused with commercial dust level sensor data to predict the precise micro-dust level of the outdoor facilities and send the dust level informations to the outdoor air pollution monitoring system. The proposed method implemented on raspberry pi based open-source hardware with Internet-of-Things (IoT) framework and evaluated the performance of the system in realtime. The experimental results confirm that the proposed micro-dust level detection is precise and reliable in sensing the air dust and pollution, which helps to indicate the change in the air pollution more precisely than the commercial sensor based method in some extent.

• 한국군사과학기술학회지
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• 제13권6호
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• pp.1006-1012
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• 2010

For the autonomous navigation of an unmanned ground vehicle in the rough terrain and combat, the dust environment should necessarily be overcome. Therefore, we propose a robust obstacle detection methodology using laser range sensor and radar. Laser range sensor has a good angle and distance accuracy, however, it has a weakness in the dust environment. On the other hand, radar has not better the angle and distance accuracy than laser range sensor, it has a robustness in the dust environment. Using these characteristics of laser range sensor and radar, we use laser range sensor as a main sensor for normal times and radar as a assist sensor for the dust environment. For fusion of laser range sensor and radar information, the angle and distance data of the laser range sensor and radar are separately transformed to the angle and distance data of virtual range sensor which is located in the center of the vehicle. Through distance comparison of laser range sensor and radar in the same angle, the distance data of a fused virtual range sensor are changed to the distance data of the laser range sensor, if the distance of laser range sensor and radar are similar. In the other case, the distance data of the fused virtual range sensor are changed to the distance data of the radar. The suggested methodology is verified by real experiment.

• 한국인터넷방송통신학회논문지
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• 제21권1호
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• pp.121-129
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• 2021

최근 중국에서 발생하는 황사와 더불어 국내에서는 뉴스 등 미디어를 통해 미세먼지가 큰 화제가 되고 있다. 외부에서 발생하는 미세먼지도 있지만, 외부 미세먼지가 내부로 유입되면서 공기 청정기 제품의 구입율이 높아지고 있다. 공기 청정기는 내부에 필터를 사용하고 있으며, 센서를 통해 필터의 교체 유무를 LED 알람을 통해 사용자에게 알려준다. 하지만, 현재 필터율이 얼마나 감소하였는지 측정하고, 작동하는 송풍기의 압력을 결정해주는 제품은 없는 상태이다. 따라서 본 논문에서는 IoT 기기인 아두이노와 미세먼지 센서, 차압 센서를 활용하여 데이터를 직접 생성하고, 측정된 미세먼지와 압력 값을 계산하여 필터율에 따라 필터가 얼마나 노화되었는지 확인할 수 있는 프로그램을 파이썬 프로그래밍을 이용하여 개발하였다.

• 한국정밀공학회:학술대회논문집
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• 한국정밀공학회 1995년도 추계학술대회 논문집
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• pp.304-307
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• 1995

In this paper, an optical sensing system has been developed to detect the dust in vacuum cleaner. The system works well through self-tuning mechanism, even though there are systemic variance and characteristic change which is caused by the pollution on the surface of the optical elements. Using the developed sensing system, a novel suction power control system has been proposed, which is able to be used for a long time.

• 한국생산제조학회지
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• 제20권5호
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• pp.576-581
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• 2011

In this paper, deformation of dust cap in the automotive wheel bearing produced during press-fit process was numerically analyzed. The commercial software, MSC.MARC which is based on the finite element method was used to calculate the deformation. From those results, interference between dust cap and sensor was investigated. To verify the analysis results, experiments were performed and compared experiment results with analysis results. To avoid the interference between dust cap and sensor, 4 modified designs were proposed and the best design was derived from them.

• 대한전자공학회:학술대회논문집
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• 대한전자공학회 2003년도 컴퓨터소사이어티 추계학술대회논문집
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• pp.61-64
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• 2003

Technological progress in integrated, low-power, CMOS communication devices and sensors makes a rich design space of networked sensors viable. These sensors can be deeply embedded in the physical world and spread throughout sensor network environment like smart dust. So ubiquitous computing will be come true. SmartDust project is the one of ubiquitous computing approach. It produces TinyOS, mote(mica, mica2, rene2, mica2dot, etc.), NesC, TinyDB, etc. We constructs sensor network test bed and tests to approach sensor network and ubiquitous computing.

• 한국정보통신학회논문지
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• 제26권1호
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• pp.140-145
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• 2022

고도화된 현대사회는 도시산업화와 대중교통으로 인한 대기오염 물질 중 미세먼지는 실외에서 실내로 유입되는 현상이 있다. 실내에서 사용하는 미세먼지 측정기는 제한적인 정보 제공과 오염 수치가 다르게 측정되어 사용자에게 원하는 데이터와 모니터링을 할 수 없는 문제점이 발생하고 있다. 이러한 문제점을 해결하기 위해 본 논문에서는 실내 공기 질 데이터 미세먼지와 초미세먼지인 Dust(PM1.0, PM2.5, PM10), VOC(Volatile Organic Compounds)와 PIR(Passive Infrared Sensor)로 미세먼지 측정기와 모니터링시스템을 설계 및 구현하였다. 측정기는 지정한 구역에 설치하여 미세먼지를 실시간 측정하고 Google Cloud Platform의 App Engine을 통하여 데이터 수집 및 저장하고 시각화하여 사용자에게 제공하는 미세먼지 측정기와 모니터링시스템을 제안한다.

• 대한전기학회:학술대회논문집
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• 대한전기학회 2006년 학술대회 논문집 정보 및 제어부문
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• pp.470-472
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• 2006

Sensor networks are the results of convergence of very important technologies such as wireless communication and micro electromechanical systems. In recent years, sensor networks found a wide applicability in various fields such as environment and health, industry scene system monitoring, etc. A very important step for these many applications is pattern classification and recognition of data collected by sensors installed or deployed in different ways. But, pattern classification and recognition are sometimes difficult to perform. Systematic approach to pattern classification based on modem learning techniques like Multivariate Gaussian mixture models, can greatly simplify the process of developing and implementing real-time classification models. This paper proposes a new recognition system which is hierarchically composed of many sensor nodes having the capability of simple processing and wireless communication. The proposed system is able to perform context classification of sensed data using the Multivariate Gaussian function. In order to verify the usefulness of the proposed system, it was applied to intelligent dust collecting system.

• 한국음향학회지
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• 제42권1호
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• pp.7-15
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• 2023

최근 차량 내 공기 질에 대한 관심이 증가함에 따라 공기 질 측정을 위한 미세먼지 감지 센서의 사용이 보편화되고 있다. 차량 내 에어컨 시스템에 설치되는 미세먼지 감지 센서 내에는 센서에 직접적으로 먼지가 가라앉지 않도록 하기 위한 축류팬이 삽입되어 있다. 센서 작동 시 축류팬의 회전으로 인한 유동 소음은 미세먼지 감지 센서의 주요 소음원으로 작용한다. 차량의 전동화가 급격화가 진행되면서 이러한 유동소음은 미세먼지센서의 제품 경쟁력의 하나로 인식되고 있다. 본 연구에서는 이러한 미세먼지센서용 소형 축류팬의 유동 성능을 개선하여 동일 유량에서 소음을 점감하였다. 먼저 대상 소형 축류팬의 공기역학적 성능을 분석하기 위해 약 2000만 개의 격자로 구성된 가상 팬 성능시험기를 구축하였다. 또한, 유량의 정확한 예측 뿐만 아니라 유동소음의 직접 계산을 위하여 압축성 대와류모사법을 사용하여 유동장을 모사하였다. 수치방법의 유효성은 예측결과와 실험 결과와의 비교를 통하여 확인하였다. 유효성이 검증된 수치 기법을 이용하여 피치각이 유동 성능에 미치는 영향을 분석하였고, 유량을 최대화할 수 있는 피치각을 도출하였다. 최적 피치각을 적용한 축류팬을 사용했을 때 유량은 8.1 % 증가하고 동일 유량에서 소음이 0.8 dBA 감소함을 확인하였다.