• Journal of the Institute of Electronics and Information Engineers
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• v.52 no.10
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• pp.161-167
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• 2015

This paper presented an occupancy-based energy saving system for appliance energy saving in smart house. The developed system is composed of a sensing system and a home gateway system. The sensing system is set of wireless sensor nodes which have pyroelectric infrared (PIR) sensor to detect a motion of human and set of smart plugs which measure the current using CT (current transformer) sensor and send the current to home gateway wirelessly. We measured current consumption of appliances in real time using smart plugs, and checked the occupation of residents using occupancy sensors installed on the door and room. The proposed system saves electric energy to switch off the supply power of unnecessary usages in the unoccupied spaces. Experiments conducted have shown that electric energy usage of appliances can be saved about 34% checked by using occupation.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2011.10a
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• pp.835-838
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• 2011

This paper presented an occupancy-based smart plug system for appliance energy saving in home. We measured current consumption of appliances in real time using smart plugs, and check the occupation of residents using occupancy sensors installed on the door. The proposed system saves energy to switch off the supply power of unnecessary usages in the unoccupied spaces. Experiments conducted have shown that current usage of appliances can be measured by using smart plugs and presence can be checked by using occupancy sensors.

• Proceedings of the KAIS Fall Conference
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• 2011.12b
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• pp.690-692
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• 2011

본 논문은 가정에서 사용되는 가전기기의 대기전력을 사용자의 위치에 따라 자동으로 제어하는 시스템을 설계 및 구현한다. 현재 사용되고 있는 대기전력 제어 시스템의 대부분은 사용자의 임의에 의해 On/Off 제어를 수행하거나 일정시간 해당 가전기기의 사용이 이루어지고 있지 않는 상태를 자동감지하여 대기전력을 차단하는 형태로 이루어져 있다. 그러나 이러한 시스템들은 사용자의 개입에 의해 수동으로 재가동해야 하므로 기기 사용자의 불편함을 초래하고 있다. 또한, 전체의 재실을 감지하여 모든 구역의 대기전력을 차단 혹은 해제하는 시스템의 경우는 모든 구역의 대기전력을 사용자 부재시까지 모두 해제하게 되므로 이로 인한 에너지 낭비를 초래하게 된다. 이에 본 논문은 재실자의 구역에 따라 미사용 가전기기들의 대기전력을 자동으로 On/Off 제어할 수 있는 사용자 위치에 기반한 대기전력 제어 시스템을 제안한다.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.14 no.6
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• pp.235-243
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• 2014

In this paper, we propose an efficient control system for intelligent LED indoor lighting. The proposed an efficient control system for intelligent LED indoor lighting were included to elements such as daylight intensity measured through the PIR sensor and illuminance sensor at lighting style by the schedule defined and the occupancy detection. And it was controlled lighting through to the wireless sensor network, and was designed for the energy savings. Also, the lighting control of indoor lighting based on occupancy detection detect fine movements using a PIR sensor. And an unnecessary lighting intensity control of the window-side and the inside were controlled according to daylight level measurement result using the light sensor. In daylight inflow many case, the window-side lighting was to automatically darker, and in daylight inflow less case, was designed to be automatically bright. The efficiency validate results of an efficient control system for intelligent LED indoor lighting, the brightness of the indoor light were to maximize the energy saving by controlling in real time when entering as indoor a little that external lighting or daylight.

• 한국태양에너지학회:학술대회논문집
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• 2009.11a
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• pp.136-141
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• 2009

Considerable part of energy consumption is occurred by through buildings. Especially, Lighting energy consumption is most part of one in building. There is very various ways and systems for saving lighting energy. In method, It can be divided Passive Daylighting System and Active Daylighting System. Louver, Screen and use of window's character is representative ways of passive system. Reflection mirror, optical pipe and optical fiber is representative method of active system. Introducing day light on which place can't be introduced day light by typical method is important advantage of active system. Except introducing day lighting methods, efficient lighting management system can save lighting energy. It called lighting automation system. Representatively, Occupancy-related automation and Brightness-related automation system is that. According to occupancy and introducing daylighting level properly operate lamp's intensity of illumination that can save lots of energy. Though Introducing daylighting method, effective lighting system we can get proper intensity of illuminance level and energy saving.

• Proceedings of the Korea Information Processing Society Conference
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• 2013.11a
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• pp.389-391
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• 2013

실내공간에서 사용자 재실인원수를 파악하기 위한 일반적인 방법으로는 출입구의 내 외부 벽면에 인체감지용 센서를 두 개 이상 설치하여 센서 ID별로 감지되는 순서에 따라 사용자의 입 퇴실 상황을 판별하는 것이다. 기존에 사용되고 있는 대부분의 인체 감지용 센서시스템은 동일한 종류의 센서를 조합한 형태로서 각 센서의 종류에 따른 동작방식 및 하드웨어적 특징에 따라 빛이나 온도 등의 주변 환경 요소와 장애물 등에 의해 오작동하는 문제점을 가지고 있다. 이에 본 논문에서는 적외선, 초음파, 마이크로웨이브 등 세 가지 인체감지용 센서를 다양하게 조합할 수 있는 하이브리드 센서 모듈을 이용하여 사용자의 입 퇴실 상황과 공간 내 재실인원수를 정확하게 인식하기 위한 최적의 센서 조합을 파악한다. 실험 결과, 내부/외부 모두 적외선 센서 또는 마이크로웨이브 센서를 조합하거나 내부/외부에 적외선 및 마이크로웨이브 센서를 조합한 시스템이 타 센서를 조합한 시스템에 비해 우수한 성능을 보였다.

• Transactions of the Korean Society of Mechanical Engineers A
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• v.36 no.11
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• pp.1433-1439
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• 2012

This paper introduces a sensor system based on indoor locations in order to implement the Building Energy Management System. This system consists of a thermopile sensor and an ultrasonic sensor. The sensor module is rotated by $360^{\circ}$ and yawed up-and-down by two electric motors. Therefore, it can simultaneously detect the number and location of the inhabitants in the room. It uses wireless technology to communicate with the building manager or the smart-home server, and it can save electric energy by controlling the lighting system or heating/air conditioning equipment automatically. We also demonstrate the usefulness of the proposed system by applying it to a real environment.

• Proceedings of the Korea Information Processing Society Conference
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• 2018.10a
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• pp.664-665
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• 2018

효과적인 에너지 절약 시스템을 구현하기 위해서는 실내의 재실자 존재 여부를 판별할 수 있는 근거가 필요하다. 본 연구에서는 천장에 광각렌즈 카메라를 설치하여 재실자 수를 탐지하는 방법을 소개한다. 인식 기술은 합성 곱 신경망의 한 종류인 Yolo v2를 사용하였으며, 건물 내부의 다양한 장소의 천장에 카메라 센서를 설치하여 필요한 데이터를 수집하였다. 수집한 2,200장의 데이터를 기준으로 학습을 수행하였고, 인식의 정확도를 측정해본 결과 96.15%의 정확도와 91.72%의 재현율을 얻어냈다.

• 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 the Institute of Convergence Signal Processing
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• v.19 no.1
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• pp.28-34
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• 2018

This paper is composed of a passenger management system using a temperature sensing module, a PIR sensor module for detecting movement inside a room, and a smart breath sensing module for determining a sleeping state. An embedded sensor module and a communication system integrated the sensing part and the algorithm driving part. As the aging society is accelerating and becoming more upgraded, the social cost of Silver Care increases, and in order to protect privacy, it is necessary to reduce costs by developing efficient smart silver care devices. The proposed non - image human body detection IOT sensor system is implemented by hardware and software and has superior performance compared with conventional image monitoring method.