• 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.

• The Journal of the Convergence on Culture Technology
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• v.5 no.1
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• pp.297-303
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• 2019

This study aims to investigate the characteristics, concepts, types, and strategies of unplugged coding for young children based on computing thinking. The key to unplugged coding for young children is computing thinking. Unplugged coding based on computing thinking for young children can be used to solve problems that can be encountered in everyday life through playing games based on logical thinking by positively utilizing algorithm boards, s-blocks, coding robots, and smart devices without using programs And find new ways to play. Types of unplugged coding for young children include direct input to smart devices, using coding robots with dedicated apps, practicing coding procedures using algorithms, and using hybrid methods. Strategies include understanding algorithms, drawing flowcharts, dividing into smaller parts, finding patterns, inserting, and predicting outcomes.

• Proceedings of the Korean Society of Computer Information Conference
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• 2020.01a
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• pp.155-156
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• 2020

세상은 4차 산업 혁명 시대에 들어섰고 사회의 많은 부분들이 스마트화되었다. 이러한 기술들의 발전으로 집 안의 가전기기들을 태블릿 pc, 스마트폰 등을 통하여 장소와 시간에 구애받지 않고 관리할 수 있게 되었다. 하지만 모든 전자 제품들이 전력 사용량을 알 수 있는 것은 아니다. 그렇기에 대부분의 가정이 전력이 과소비되고 있는 것은 아닌지 외출 시 전열 기구의 전원이 제대로 꺼졌는지 등 이를 확인이 쉽지 않다. 본 과제물은 위의 문제를 해결하기 위해 아두이노로 라즈베리파이와 앱을 무선통신하여 '전력사용 확인이 가능한 전원제어 시스템'을 고안했다. 전력측정이 가능한 플러그를 사용하여 가전제품의 전력 사용량을 측정할 수 있으며 전원을 원격으로 제어할 수 있다. 또한, 터치스크린으로도 이것을 실시간으로 확인할 수 있으며, 애플리케이션과 같은 역할 수행이 가능하다. 이 기능으로 전력의 과소비 및 누전으로 인한 화재를 막고 전기세를 최대한으로 줄이면서 동시에 편리함을 증대 시킬 수 있다.

• TTA Journal
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• s.155
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• pp.78-83
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• 2014

• Proceedings of the Korean Information Science Society Conference
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• 2010.06d
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• pp.412-415
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• 2010

첨단 주택에서 가전기기의 에너지 소모량을 모니터링하기 위하여 센서 네트워크를 이용한 스마트 플러그를 제안한다. 제안한 시스템은 전기 콘센트 형태로, 매 초마다 홀센서를 지나가는 전류량을 측정하여 센서 네트워크를 통해 홈 게이트웨이에 전송한다. 홈 게이트웨이는 전송된 데이터를 전력량으로 변환하여 저장하고, 모니터링 프로그램을 통해 전력량을 표시한다. 실험 결과 제안한 시스템은 에너지 소모와 사용을 관리함에 있어서 우수한 성능을 확인하였다.

• 한국신재생에너지학회:학술대회논문집
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• 2008.10a
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• pp.349-352
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• 2008

The most concerning issue in these days is the energy crisis by increasing threat of global warming and depletion of natural resources. In the situations, the Plug-in Hybrid Electric Vehicle (PHEV) is drawing attention from many countries for the next generation's car which has higher fuel efficiency and lower environmental impact. This paper presents simulation results about the limit capacity of central power-grid which doesn't have enough surplus electric power for charging PHEVs. Therefore, this paper also presents a smart charging system that can charge the PHEVs with a function of distributing demands of charging. The smart charging system is an agent facility between the government and consumer, which can recommend the best time to charge the battery of PHEVs by the lowest energy cost. This function of choosing time-slots is the technical system for the government which wants to control the consumption rate of electric power for PHEVs. Finally, this paper presents the economic feasibility of PHEVs from the two kinds of price system, midnight electric price and home electric price.

• KIISE Transactions on Computing Practices
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• v.22 no.4
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• pp.195-200
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• 2016

With development of wearable devices, there is an increased interest in bio-signal monitoring techniques that can measure the user's health condition. However, embedding several bio-signal sensors in one wearable device has some inherent problems in terms of limited resources such as its size. Furthermore, such problem also arise when new bio-signal sensors are added. In this paper, we introduced the Bio-Cradle, which is a Plug-in module that can transfer the biological signals in real time from the accelerometer, ECG, or PPG sensor to other wearable devices at the request from the user of wearable devices. When the Bio-Cradle plugged in to the other device, it can transfer several synchronized bio-signals regardless of the type of device.

• Proceedings of the SAREK Conference
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• 2008.06a
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• pp.838-843
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• 2008

Cause of struggling to escape from dependency of fossil fuels, the fuel cell and the Plug-in Hybrid Electric Vehicle (PHEV) draw attention in the all of the world. Especially, the Polymer Electrolyte Membrane Fuel Cell (PEMFC) systems have been anticipated for next generation's energy supplying system, and we can predict the PHEV will enlarge the market share in the next few years to reduce not only the air pollution in the metropolis but the fuel-expenses of commuters. This paper presents simulation results about the strategy of smart charging system for PHEV in the residential house which has 1 kW PEMFC cogeneration system. The smart charging system has a function of recommending the best time to charge the battery of PHEV by the lowest energy cost. The simulated energy cost for charging the battery based on the electricity demand data pattern in the house. The house which floor area is $132\;m^2$ (40 pyeong.). In these conditions, the annual gasoline, electricity, and total energy cost to fuel the PHEV versus Conventional Vehicle (CV) have been simulated in terms of cars' average life span in Korea.

• Journal of Satellite, Information and Communications
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• v.6 no.2
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• pp.131-135
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• 2011

In this paper, we describe the design and implementation of wireless smart plug having AC power sensor and intelligent standby power control algorithm for energy sensor network. The adaptive standby power control algorithm has function to apply different threshold of standby power by using learning algorithm depending on electric equipments. As using the proposed algorithm, user convenience will be more better and power consumption can be more reduced. The implemented prototypes of wireless smart plug and wireless access point were tested to verify the required functions and performance. As a result, we confirmed practicality of wireless smart power sensor and satisfaction of given design specifications.