• The Journal of the Korea institute of electronic communication sciences
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• v.17 no.4
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• pp.729-738
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• 2022

Existing wardrobes have been used only for storing simple clothes. Since it has a function to store clothes, there is only one way to control the environment such as humidity or temperature, and there is only one way to purchase and store items such as a desiccant. In this paper, by increasing the convenience in the existing wardrobe, automatic temperature and humidity control and various convenient functions were added. In line with the smart home market and smart phone application market that have grown over the past several years, along with the development of a wardrobe with sensors, the temperature and humidity control function and other functions inside the wardrobe through Bluetooth pairing between the wardrobe and the smartphone can be customized to the user using a smartphone. Through the clothing selection function and the weather data in the application, we want to implement convenient functions such as the function of recommending clothes in the closet to match the weather.

• The Journal of the Convergence on Culture Technology
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• v.8 no.6
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• pp.899-904
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• 2022

As the world becomes an aging society due to a decrease in the birth rate and an increase in life expectancy, a system for health management of the elderly population is needed. Among them, various studies on occupancy and activity types are being conducted for smart home care services for indoor health management. In this paper, we propose a random forest model that classifies activity type as well as occupancy status through indoor temperature and humidity, CO2, fine dust values and UWB radar positioning for smart home care service. The experiment measures indoor environment and occupant positioning data at 2-second intervals using three sensors that measure indoor temperature and humidity, CO2, and fine dust and two UWB radars. The measured data is divided into 80% training set data and 20% test set data after correcting outliers and missing values, and the random forest model is applied to evaluate the list of important variables, accuracy, sensitivity, and specificity.

• Journal of agriculture & life science
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• v.45 no.3
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• pp.43-51
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• 2011

This project was conducted to measure actual temperature, relative humidity (RH), and light intensity at different apartment floors and to suggest suitable indoor plants by investigating morphological changes of Treophelosparmum asiatioum and Fittonia verchaffeltii var. argyroneura as affected by light intensity. Temperature and RH in apartment verandas were measured in three different (2nd, 9th, and 16th) floors on three different buildings for 30 days seasonally. The light intensity, temperature, and RH were recorded outside (parking area) and inside apartment verandas for 24 hours on a selected sunny summer day (between Aug. 19 and Sept. 14, 2008). Based on the first study, we investigated effect of simulated light intensity (40, 70, 100, and $600{\mu}mol{\cdot}m^{-2}{\cdot}s^{-1}$) on changes in growth and development of T. asiatioum and F. verchaffeltii var. argyroneurain growth chambers. However, daily mean light intensity of 2nd, 9th, and 16th floors was different each other as it was about 40, 70, and $100{\mu}mol{\cdot}m^{-2}{\cdot}s^{-1}$, respectively. In the growth chamber experiment, plant height, internode length, and leaf length and width were not affected significantly by light intensity, but changes in leaf color were apparent in the new leaves with the increasing light intensity. The results suggest that T. asiatioum could be best fit to high, and F. verchaffeltii var. argyroneura to lower floor verandas, considering their aesthetic values.

• The Journal of the Korea institute of electronic communication sciences
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• v.17 no.6
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• pp.1293-1300
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• 2022

In this paper, research was conducted to prevent various safety accidents that may occur from infant vehicles carrying children and to use infant vehicles easier. In order to prevent the infant vehicle from driving without protection, a brake function is mounted on the infant vehicle wheels using a pressure sensor and a sub motor, and a pressure sensor and an LCD are used to determine whether a seat belt is fastened to prevent the infant from falling from the infant vehicle. In addition, it is designed to turn on the warning light when exceeding a certain temperature and humidity using LCD and LED so that infants can be in a pleasant environment when using a baby vehicle.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2019.05a
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• pp.118-120
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• 2019

최근 IoT 모듈 즉, 사물 인터넷 기반 기술에 대한 연구가 활발히 진행되고 있으며, 다양한 제품들이 출시되고 있다. 대표적인 IoT 제품으로 가정에서 인터넷과 모바일 앱을 이용하여 카메라, 전등, 보일러 등을 제어하는 것을 볼 수 있다. 하지만 보통의 IoT모듈은 센서로 값을 추출하는 것이 목적이기 때문에 센서의 정확성과 고장 유 무를 판단하기 힘들다. 본 논문에서는 아두이노와 무선통신, 웹서버, 안드로이드 어플리케이션을 이용해 센서에서 추출된 값을 비교 분석한 표준편차를 이용해 센서의 고장 유 무를 판단 할 수 있는 모바일 앱을 설계 및 구현하고자 한다. 아두이노의 와이파이, 온습도센서 모듈 등을 이용하여 통신 연결을 하고 각종 환경, 제어정보들을 HTTP통신을 이용하여 웹서버와 통신하여 전달하고 제어한다. 이로써 사용자가 직접 IoT모듈에 가지 않아도 스마트폰 어플리케이션을 통해 센서 상태를 모니터링 및 진단하고 고장 유 무를 파악하여 교체시기를 알려주는 기능을 구현하였다.

• Proceedings of the KIEE Conference
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• 2008.09a
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• pp.87-91
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• 2008

전력량계의 성능시험은 계량오차와 전자파, 고조파 등 주변환경에 의한 오동작의 원인과 해결방안을 모색하기 위한 연구개발과 온습도, 전기, 기계적 환경 등 기타 제반환경이 전력량계에 미치는 실증시험 연구와 기술개발을 위해 필수적이다. 본 연구는 한전납품대상 전력량계의 신규 개발시 실증시험을 통한 성능검증과 전자식 전력량계의 확대 사용에 따른 전력량계의 오동작 원인 분석, 전력품질향상 등의 품질검증 기반을 마련하고자 전력계량시스템의 실증적 연구 및 시험분석을 위한 인프라 구축에 관한 연구논문임.

• Journal of Bio-Environment Control
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• v.20 no.4
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• pp.394-398
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• 2011

The effect of two-fluid fogging system on the control of Bemisia tabaci in tomato cultivation was evaluated in a greenhouse. The number of Bemisia tabaci was decreased by 87% from the fog treatment for 7 days. During the fog treatment, the mean daily temperature was decreased by $2^{\circ}C$ and the mean daily relative humidity was increased by 3~4% as compared to the non-treatment. The reduction of Bemisia tabaci in the treatment might not be resulted from the differences in temperature and humidity in the greenhouse. The sound coming from the two-fluid fogging system did not affect when it was operated without water inside. Therefore it was concluded that water droplets coming out the nozzle reduced the growth and the movement of whiteflies because the suspension of tiny water droplets were attached on the skin of whiteflies.

• Smart Media Journal
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• v.8 no.1
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• pp.74-81
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• 2019

Recently, machine learning technology has had a significant impact on society, particularly in the medical, manufacturing, marketing, finance, broadcasting, and agricultural aspects of human lives. In this paper, we study how to apply machine learning techniques to foods, which have the greatest influence on the human survival. In the field of Smart Farm, which integrates the Internet of Things (IoT) technology into agriculture, we focus on optimizing the crop growth environment by monitoring the growth environment in real time. KT Smart Farm Solution 2.0 has adopted machine learning to optimize temperature and humidity in the greenhouse. Most existing smart farm businesses mainly focus on controlling the growth environment and improving productivity. On the other hand, in this study, we are studying how to apply machine learning with respect to harvest time so that we will be able to harvest fruits of the highest quality and ship them at an excellent cost. In order to apply machine learning techniques to the field of smart farms, it is important to acquire abundant voluminous data. Therefore, to apply accurate machine learning technology, it is necessary to continuously collect large data. Therefore, the color, value, internal temperature, and moisture of greenhouse-grown fruits are collected and secured in real time using color, weight, and temperature/humidity sensors. The proposed FPSML provides an architecture that can be used repeatedly for a similar fruit crop. It allows for a more accurate harvest time as massive data is accumulated continuously.

• Proceedings of the KIEE Conference
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• 2008.04a
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• pp.182-183
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• 2008

환기시설이 열악한 도시 지하철역 내의 대기환경은 지상보다 열악할 수밖에 없다. 현재 지하철역을 주로 사용하는 시민들의 안전을 보호 하고 지하철의 대기환경을 개선하기 위해 스크린 도어, 자동 제어 환기시설, 종합 영상 감지시스템 등 다양한 노력을 기울이고 있다. 하지만 일부 지하철역에 설치되어 있는 공기질 모니터링 시스템은 수입품에 의존하고 고가의 장비이므로 초기설치 비용뿐만 아니라 유지보수의 어려움을 겪고 있다. 본 논문에서는 이러한 문제점을 해결하기 위해 무선 센서 네트워크 기술을 적용하여 저가형 대기환경 모니터링 시스템을 개발했다. 이 시스템의 구성은 센서노드(ZED : ZigBee End Deice), 네트워크 코디네이터(ZCM : ZigBee Coordinator Modem), 수신서버로 구성된다. 지하철역 내부의 미세먼지, CO2, CO, 온습도, VOCs 데이터를 센싱할 수 있는 확장 센서보드를 설계한 후, 지하공간에서의 열악한 통신환경에서 QoS를 보장할 수 있도록 ZigBee 라우팅 기술을 이용한 센서노드(ZED)를 인터페이스하여 하나의 통합된 대기환경 센서 노드(ZED)를 개발했다. 또한 수신서버에 USB방식으로 연결되어 각각의 ZED로부터 데이터를 수신하는 센서노드(ZCM)과 전송된 데이터를 저장 및 처리하여 언제 어디서나 누구든지 인터넷을 통해 확인 가능하도록 지하철 대기환경 모니터링을 위한 수신서버를 개발했다.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2017.05a
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• pp.603-604
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• 2017

In this paper, we propose system that automatically controlls greenhouse to make best environment to grow crops. The proposed system is consist of the function to automatically open and close water-roof, control the tublar well of groundwater and remote monitor information of greenhouse.