• 한국철도학회:학술대회논문집
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• 한국철도학회 2007년도 추계학술대회 논문집
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• pp.989-993
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• 2007

It was intended in this study to seek for the measures to utilize the USN technique, which has high usability due to low price and low power consumption, in air quality monitoring. As a method, the sensors of temperature, humidity, particulate matters (PM10), and carbon dioxide ($CO_2$) were installed in the self-manufactured sensor nodes; the nodes were installed in the waiting rooms and platforms of a subway station and the measurements were collected at real time with use of a computer which micro gateway was built in. Collected data was to be processed by the statistics program installed in the computer; the collected data is to be used in managing the air quality of stations after transmission to the ventilation system of ventilation chambers.

• 한국멀티미디어학회논문지
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• 제13권6호
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• pp.911-923
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• 2010

In wireless sensor networks (WSNs), cluster based data routing protocols have the advantages of reducing energy consumption and link maintenance cost. Unfortunately, most of clustering protocols have been designed for uniformly distributed sensor networks. However, some urgent situations do not allow thousands of sensor nodes being deployed uniformly. For example, air vehicles or balloons may take the responsibility for deploying sensor nodes hence leading a normally distributed topology. In order to improve energy efficiency in such sensor networks, in this paper, we propose a new cluster formation algorithm named DAEEC (Density Aware Energy-Efficient Clustering). In this algorithm, we define two kinds of clusters: Low Density (LD) clusters and High Density (HD) clusters. They are determined by the number of nodes participated in one cluster. During the data routing period, the HD clusters help the neighbor LD clusters to forward the sensed data to the central base station. Thus, DAEEC can distribute the energy dissipation evenly among all sensor nodes by considering the deployment density to improve network lifetime and average energy savings. Moreover, because the HD clusters are densely deployed they can work in a manner of our former algorithm EEVAR (Energy Efficient Variable Area Routing Protocol) to save energy. According to the performance analysis result, DAEEC outperforms the conventional data routing schemes in terms of energy consumption and network lifetime.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제9권8호
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• pp.3079-3089
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• 2015

In this paper, a smart constrained application protocol (CoAP)-based gateway with a border router is proposed for home safety services to remotely monitor the trespass, fire, and indoor air quality. The smart CoAP gateway controls a home safety sensor node with a pyroelectric infrared motion sensor, a fire sensor, a humidity and temperature sensor, and a non-dispersive infrared CO2 sensor and gathers sensing data from them. In addition, it can convert physical sensing data into understandable information and perform packet conversion as a border router for seamless connection between a low-power wireless personal area network (6LoWPAN) and the Internet (IPv6). Implementation and laboratory test results verify the feasibility of the smart CoAP gateway which especially can provide about 97.20% data throughput.

• 로봇학회논문지
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• 제16권3호
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• pp.245-249
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• 2021

In this paper, we present novel simulation contents for drone racing and autonomous flight of drone. With Depth camera and SLAM, we conducted mapping 3 dimensional environment through RTAB-map. The 3 dimensional map is represented by point cloud data. After that we recovered this data in Unreal Engine. This recovered raw data reflects real data that includes noise and outlier. Also we built drone racing contents like gate and obstacles for evaluating drone flight in Unreal Engine. Then we implemented both HITL and SITL by using AirSim which offers flight controller and ROS api. Finally we show autonomous flight of drone with ROS and AirSim. Drone can fly in real place and sensor property so drone experiences real flight even in the simulation world. Our simulation framework increases practicality than other common simulation that ignore real environment and sensor.

• 대한원격탐사학회:학술대회논문집
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• 대한원격탐사학회 2005년도 Proceedings of ISRS 2005
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• pp.392-393
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• 2005

Due to the temporal and spatial simultaneity and the high-frequency repetition, the data set retrieved from the satellite observation is considered to be the most desirable ones for the study of air-sea interaction. With rapidly developing sensor technology, satellite-retrieved data has experienced improvement in the accuracy and the number of parameters. Nevertheless, since it is still impossible to directly measure the heat fluxes between air and sea, the bulk method is an exclusive way for the evaluation of the heat fluxes at the sea surface. It was noted that the large deviation of air temperature in the winter season by the linear regression despite good correlation coefficients. We propose a new algorithm based on the Fourier series with which the SST and the air temperature. We found that the mean of air temperature is a function of the mean of SST with the monthly gradient of SST inferred from the latitudinal variation of SST and the spectral energy of air temperature is related linearly to that of SST. An algorithm to obtain the air temperature over the sea was completed with a proper analysis on the relation between of air temperature and of SST. This algorithm was examined by buoy data and therefore the air temperature over the sea can be retrieved based on just satellite data.

• 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.

• 한국항공우주학회지
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• 제36권10호
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• pp.1017-1025
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• 2008

본 연구에서는 무인항공기의 대기속도 및 압력고도를 측정하는 공력자료시스템(ADS)을 개발하였다. ADS는 비행제어시스템에 항공기 속도와 고도를 제공함으로써 실속속도 이하에서의 비행을 막고 고도유지 비행을 가능하게 하는 시스템이다. 무인항공기의 속도와 고도를 정확하게 측정하는 것은 비행성능을 확인하고 항공기의 안전성을 보장하기 위한 중요한 부분이다. 본 논문에서 개발된 ADS는 MEMS 압력센서, 저역통과필터, 마이크로 컨트롤러 그리고 피토튜브로 구성되어 있다. 온도보정과 압력보정을 통해 ADS 데이터의 오차를 줄였으며 비행시험에서 GPS 데이터와 ADS 데이터를 비교하였다.

• 한국전기전자재료학회논문지
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• 제29권1호
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• pp.23-29
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• 2016

In this paper, in order to quantify the peristalsis occurrence in a guinea pig's large intestine, a miniaturized air-gap capacitive pressure sensor was fabricated through micro-electro-mechanical system (MEMS). The proposed pressure sensor is a two-layered biocompatible polyimide substrate consisting of an air-gap capacitive plates between the substrates. The proposed pressure sensor was designed with a careful consideration of the structure and motility mechanism of the guinea pig's large intestine. Artificial pellets were mounted on a prototype pressure sensor to provide some redundancies in the form of size and shape of the guinea pig feces. Capacitance of a prototype sensor was recorded to be 2.5 ~ 3 pF. This capacitance value was later converted to count value using a lab fabricated data conversion system. Sensitivity of the pressure sensor was recorded to be below 1 mmHg per atmospheric pressure. During in vivo testing, artificial peristalsis caused by drug injection was measured by inserting the prototype pressure sensor into the guinea pig's large intestine and pressure data obtained due to artificial peristalsis was graphed using a labview program. The proposed pressure sensor could measure the pressure changes in the proximal, medial, and distal parts of the large intestine. The results of the experiment confirmed that pressure changes of guinea pig's large intestine was proportional to the degree of drug injection.

• 항공우주시스템공학회지
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• 제11권5호
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• pp.20-27
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• 2017

본 논문에서는 멀티콥터 대기자료센서의 최적의 장착위치 선정을 위한 멀티콥터 주변 유동장 해석을 과정을 기술하였다. 유동해석을 위해서는 상용유동해석 프로그램인 STAR-CCM+를 사용하였으며 다면체기반의 격자시스템과 k-w SST 난류 모델링을 사용하였다. 회전하는 4개의 프로펠러의 상대운동을 모사하기 위해서는 비정렬격자 기반 중첩격자기법을 사용하였다. 해석과정에서는 정지비행, 전진비행, 상승 및 하강비행에 대하여 해석을 수행하였고 센서위치에 대하여 측정오차를 분석하였다. 장착위치 분석결과 센서의 위치가 회전면에서 프로펠러 지름 높이 이상에 위치하면 하강비행을 제외한 멀티콥터의 운용과정에서 1m/s 정도 이내의 속도오차를 보이므로 비교적 정확한 측정이 가능할 것으로 예측되었다.

• 한국군사과학기술학회지
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• 제23권6호
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• pp.639-649
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• 2020

Air data systems measure airspeed, pressure altitude, angle of attack and angle of sideslip. These measurements are essential for operating flight control laws to ensure safe flights. Since the loss or corruption of air data measurements is considered as catastrophic, a high level of operational reliability needs to be achieved for air data systems. In the case of unmanned air vehicles, failure of any of air data sensors is more critical due to the absence of onboard pilot decision aid. This paper presents design of a dual redundancy air data system and the integration process for an unmanned air vehicle. The proposed dual-redundant architecture is based on two independent air data probes and redundancy management by central processing in two independent flight control computers. Starting from unit testing of single air data sensor, details are provided of system level tests used to meet overall requirements. Test results from system integration demonstrate the efficiency of the proposed process.