• 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.

• Proceedings of the Korean Society of Computer Information Conference
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• 2016.07a
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• pp.209-210
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• 2016

본 논문은 WebRTC를 통해 웹 브라우저 안에서 플러그인의 도움 없이 peer-to-peer로 실시간 화상회의 서비스를 구현하였다. 영상, 음성과 채팅 서비스를 지원하며 WebRTC, Javascript, HTML, Node.js, CSS 기반으로 구현하였다. 시그널링 관련 STUN과 TURN 서버의 사용을 위해서는 ICE 프레임워크를 사용하였다. PC와 스마트폰에서의 일 대 일 화상회의 서비스의 작동 결과를 확인하였다.

• The Journal of Korean Association of Computer Education
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• v.14 no.6
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• pp.83-89
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• 2011

In this study a smart HDMI switch is proposed to detect newly formed video stream and automatically change the transfer path to the corresponding port without pulling the HDMI plug and putting it again in the desired port manually and physically. Furthermore the proposed switch is designed in the advanced wireless video transmission scheme based on millimeter band technology. The proposed system shows its feasibility by the hardware experiment in the full-HD video transmission performance including the function of the smart port change.

• Proceedings of the KIEE Conference
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• 2015.07a
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• pp.39-40
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• 2015

가정용 가전제품의 전력사용량을 절감하기 위한 방법은 인력과 ICT 융합형 관리시스템으로 가능하다. 인력에 의한 방안은 사용하지 않는 가전제품의 코드를 매번 콘센트와 분리하여야 하는 번거로움이있어 효과가 있음에도 활용도가 낮았다. 반면에 통합관리스템은 전체 가전제품을 원격으로 관리할 수 있도록 하나의 네트워크로 묶어 모니터링하고 관리하는 기술을 구현해야 하는 어려움이 있다. 본 논문에서는 스마트 플러그와 IPTV를 이용하여 대기전력의 차단과 사용량을 절감하기 위한 방안을 제시하고자 한다. 이를 통해 소요되는 비용을 최소화하고 이용은 편리하게 하여 성과를 높이고자 한다.

• Proceedings of the Korean Information Science Society Conference
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• 2005.07a
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• pp.535-537
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• 2005

본 논문에서는 스마트 센서 네트워크에서 컨텍스트 인지 서비스를 제공하는 미들웨어를 제안한다. 미들웨어는 UPnP를 이 용하여 어플리케이션과 스마트 센서 네트워크가 플러그 앤 플레이로 서비스의 상호운용을 제공하며, 컨텍스트 인지 서비스 에이전트를 통해 XML 기반의 서비스 명세가 개별 센서 네트워크에서 자동으로 실행 될 수 있는 코드를 생성한다. 이상의 미들웨어를 이용하여 개발자는 UPnP나 스마트 센서 네트워크에 대한 고려 없이 XML을 이용한 간단한 서비스 명세만으로 손쉽게 컨텍스트 인지 서비스를 지원하는 어플리케이션을 개발 할 수 있다.

• Proceedings of the Korea Information Processing Society Conference
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• 2019.05a
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• pp.739-742
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• 2019

기숙사와 같이 여러 사람이 세탁기를 공유하는 상황에서 세탁상황을 알 수 없어 세탁물을 가지고 세탁실에 갔다가 모든 세탁기가 사용 중인 상황이 많이 발생하여 학생들의 불편함이 크다. 이에 본 논문에서는 기존 세탁기를 그대로 사용하고 사물인터넷 기술이 적용된 스마트플러그를 개발하여 서버와 통신하게 하고, EBS(Efficient Book System) 세탁기앱을 통해 세탁상황을 원격에서 알 수 있고, 예약할 수 있으며, 세탁시간을 추천해 하는 시스템을 개발한다. 실제 기숙사 세탁실 세탁기에 적용하여 테스트했으며, 실현 가능성을 보였다.

• Korea Science and Art Forum
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• v.19
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• pp.561-568
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• 2015

A lot of electrical energy is used in our daily life. While energy saving concerns are overall, consumption practices of people in general are very different. People want to control their energy use and by knowing the amount of energy they use. Smart plug is a new device that measures electricity usage through each plug at an outlet with on/off control. User experience for electrical devices in regards to electricity usage should be newly designed. In this study, based on the survey, personas have been devised and their energy use experience in relation with smart plugs have been designed. Service models have been designed as well. By designing service with smart plug, user could enhance the experience of energy usage and saving and energy consumption practices could be improved in a sustainable manner.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.9 no.2
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• pp.339-346
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• 2008

Ubiquitous computer can be interfaced with many several peripheral devices for information acquisition. Users should be able to easily use these devices without considering when these devices were interfaced, how to use these devices, and interoperability issues (such as plug and play, the installation of device drivers, and so on). Further, computers and their users need an interface technology that provides five-senses information (the recognition and expressions of the user) such that multimodal interaction can be enabled. In this paper, we proposed an IEEE 1451 standard that uses a smart interface standard for interfacing devices with ubiquitous computer. IEEE 1451 describes the property information of a transducer in the transducer electronic data sheet (TEDS). Further, by using the TEDS format, the interoperability between devices can be enabled by means of the plug-and-play function; it also makes the inconvenient installations of device drivers unnecessary.

• Journal of the Korea Society of Computer and Information
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• v.16 no.8
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• pp.137-146
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• 2011

In order to support increased consumer awareness regarding energy consumption, we present new ways of monitoring and predicting with energy in electric appliances. The proposed system is a design of a common electrical power outlet called smart plug that measures the amount of current passing through current sensor at 0.5 second. To acquire data for training and testing the proposed neural network, weather parameters used include average temperature of day, min and max temperature, humidity, and sunshine hour as input data, and power consumption as target data from smart plug. Using the experimental data for training, the neural network model based on Back-Propagation algorithm was developed. Multi layer perception network was used for nonlinear mapping between the input and the output data. It was observed that the proposed neural network model can predict the power consumption quite well with correlation coefficient was 0.9965, and prediction mean square error was 0.02033.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.21 no.9
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• pp.1718-1724
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• 2017

Recently, Smart plugs for real time monitoring of household appliances based on IoT(Internet of Things) have been activated. Through this, consumers are able to save energy by monitoring real-time energy consumption at all times, and reduce power consumption through alarm function based on consumer setting. In this paper, we measure the alternating current from a wall power outlet for real-time monitoring. At this time, the current pattern for each household appliance was classified and it was experimented with deep learning to determine which product works. As a result, we used a cross validation method and a bootstrap verification method in order to the classification performance according to the type of appliances. Also, it is confirmed that the cost function and the learning success rate are the same as the train data and test data.