• Title/Summary/Keyword: Smart Multi-plug

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Design and Implementation a Remote Control Smart Multi-plug based on Wireless Network (무선 네트워크 기반 원격제어 스마트 멀티 플러그의 설계 및 구현)

  • Lee, Sang Hoon;Won, Hui Chul;Kim, Su-Yeon
    • Journal of Korea Society of Industrial Information Systems
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    • v.20 no.4
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    • pp.47-54
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    • 2015
  • With the spread of smart technology, in the personal and office equipment, many of the products are equipped with smart features. These changes have opened the era that can enforce the user's operation from a remote location. In this study, we design and implement a smart multi-plug system to make a multi-plug installed in the home can be operated anytime and anywhere via wireless network technologies add smart feature to a multi-plug that can be seen easily around us, it is intended to complement the limitations of traditional multi-plugs. The smart multi-plug proposed in this paper, by operating the plug remotely from smart devices at anytime and from anywhere, is possible to provide services required for the weak users such as elderly and children, it is expected that the proposed system are widely used in the various areas requiring remote control of the power supply including u-Farming, terrarium, and smart home, and so on.

A Study of Recognition-Based user Multi-Smart Plug System (사용자 인식 기반 멀티-스마트 플러그에 관한 연구)

  • Oh, Jin-Seok;Lee, Hunseok
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.17 no.12
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    • pp.2976-2983
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    • 2013
  • Interest in reducing standby power is increasing because of electric power shortages. Most of electric equipment are in standby state that does not use a function of the original, most electronic devices consume a lot of electric power even in standby mode. In many countries, research on the smart plug is advanced in order to prevent power consumption due to standby state. However, due to the nature of the function, expensive in many case. These smart plugs would be to cut the standby power using motion detecting sensor or pattern control of the user. Theses features have no advantages because of malfunction of motion detecting sensor and in accordance with the diversification ot user's pattern. In this study, developing a multi-smart plug system that linked with bluetooth function of user's smart phone. Using smart phone bluetooth function, determination of the position of the user. The suggestion smart plug cutting the standby power of the electronic apparatus. It was confirmed that it is able to reduce the power consumption according to the location of the user.

A Case Study of Measuring and Analyzing Electric Energy Usage in University Facilities Using Smart Plug (스마트플러그(IOT)를 이용한 대학시설의 전기에너지 사용량 계측 및 분석 사례 연구)

  • Park, Jun-Young;Lee, Chun-Kyong;Park, Tae-Keun
    • Journal of the Architectural Institute of Korea Structure & Construction
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    • v.34 no.9
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    • pp.27-34
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    • 2018
  • The purpose of this study is to demonstrate and analyze the function of a Smart Plug before and after it is applied on the electrical appliances by controlling standby power usage. The research measures and analyzes the amount of electrical energy used while activating the Smart Plug with two types of appliances in a university facilities. The smart plugs were applied into a Group 1 appliances (Multi-function device, computer, laptop, Air con) which completely hinder the standby power, and a Group 2 appliances (Refrigerator, cold and hot water dispenser) which does not completely hinder the standby powers due to the characteristics of the function. First, the total standby power saving of all electrical appliances (Group 1 and Group 2) using the Smart plug was measured as 4.59%. Second, the energy saving of the Group 1 products was analyzed as 26.43%. Third, the standby power saving of the air conditioners from mid October to early December was measured as 31.06%, during the seasons when air conditioning was not actively in use. The research indicates that all specified appliances did have better energy efficiency with the Smart plug regardless of the amount of energy usage.

Multi-agent-based approach for service discovery in smart meeting spaces (지능형 협업환경에서 서비스 발견을 위한 다중 에이전트 시스템 적용 방법)

  • Bae, Chang-Hyeok;Han, Sang-Woo;Kim, Jong-Won
    • 한국HCI학회:학술대회논문집
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    • 2008.02a
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    • pp.669-673
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    • 2008
  • The service discovery method is an important technology finding and offering users' desirable services in smart meeting spaces. Extensive researches of the service discovery methods are achieved: SSDP(simple service discovery protocol) of UPnP(universal plug & play) and so on. However, there are several limitations to satisfy the requirements of service discovery in smart meeting spaces. In this paper, the requirements of service discovery in smart meeting spaces are investigated and the service discovery method based on multi-agent system is proposed in the practical aspect. Additionally, we explore the possibilities of the proposed approach by implementing a couple of services belonging to the smart meeting spaces.

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Multi-Objective Optimal Predictive Energy Management Control of Grid-Connected Residential Wind-PV-FC-Battery Powered Charging Station for Plug-in Electric Vehicle

  • El-naggar, Mohammed Fathy;Elgammal, Adel Abdelaziz Abdelghany
    • Journal of Electrical Engineering and Technology
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    • v.13 no.2
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    • pp.742-751
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    • 2018
  • Electric vehicles (EV) are emerging as the future transportation vehicle reflecting their potential safe environmental advantages. Vehicle to Grid (V2G) system describes the hybrid system in which the EV can communicate with the utility grid and the energy flows with insignificant effect between the utility grid and the EV. The paper presents an optimal power control and energy management strategy for Plug-In Electric Vehicle (PEV) charging stations using Wind-PV-FC-Battery renewable energy sources. The energy management optimization is structured and solved using Multi-Objective Particle Swarm Optimization (MOPSO) to determine and distribute at each time step the charging power among all accessible vehicles. The Model-Based Predictive (MPC) control strategy is used to plan PEV charging energy to increase the utilization of the wind, the FC and solar energy, decrease power taken from the power grid, and fulfil the charging power requirement of all vehicles. Desired features for EV battery chargers such as the near unity power factor with negligible harmonics for the ac source, well-regulated charging current for the battery, maximum output power, high efficiency, and high reliability are fully confirmed by the proposed solution.

A design of MASBM (Multi-Agent Service Bundle Manager) architecture for Smart Space Middleware (Smart Space Middleware를 위한 MASBM (Multi-Agent Service Bundle Manager) 구조 설계)

  • Son, Min-Woo;Shim, Ghi-Taek;Lee, Ju-Yeon;Shin, Dong-Il;Shin, Dong-Kyoo
    • Proceedings of the Korean Information Science Society Conference
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    • 2005.11b
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    • pp.625-627
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    • 2005
  • 사용자가 시간과 장소에 구애 받지 않고 컴퓨터를 자연스럽고 효율성 있게 사용할 수 있는 환경을 의미하는 유비쿼터스 컴퓨팅은 네트워크와 센서(Sensor), smart devices, 무선 통신과 smart middleware(UPnP(Universal Plug and Play), Jini, HAVi(Home Audio Video Interoperability) IEEE 1394, PLC (Power Line Communication) 등) 등을 기반으로 Smart Space를 만들 수 있다. 그러나 여러 종류의 가전제품들이 늘어나고 수많은 사용자들의 요구를 충족시키기엔 smart middleware의 단일 제어로는 처리가 불가능하여 본 논문에서는 이기종간의 미들웨어간의 상호작용을 위해 개발된 OSGi(Open Service Gateway Initiative) Spec. 3에서 제공하는 서비스 플랫폼(Service Platform)을 기반으로 사용자/디바이스 관리 및 분산 시스템 등의 취약점들을 보완하여 Smart Space상에서 효율적인 서비스 번들을 관리하기 위해 MASBM(Multi-Agent Service Bundle Manager)을 제안하였다.

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Comparison of Intelligent Charging Algorithms for Electric Vehicles to Reduce Peak Load and Demand Variability in a Distribution Grid

  • Mets, Kevin;D'hulst, Reinhilde;Develder, Chris
    • Journal of Communications and Networks
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    • v.14 no.6
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    • pp.672-681
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    • 2012
  • A potential breakthrough of the electrification of the vehicle fleet will incur a steep rise in the load on the electrical power grid. To avoid huge grid investments, coordinated charging of those vehicles is a must. In this paper, we assess algorithms to schedule charging of plug-in (hybrid) electric vehicles as to minimize the additional peak load they might cause. We first introduce two approaches, one based on a classical optimization approach using quadratic programming, and a second one, market based coordination, which is a multi-agent system that uses bidding on a virtual market to reach an equilibrium price that matches demand and supply. We benchmark these two methods against each other, as well as to a baseline scenario of uncontrolled charging. Our simulation results covering a residential area with 63 households show that controlled charging reduces peak load, load variability, and deviations from the nominal grid voltage.

Smart Multi-Plug System with Remote Control (원격제어가 가능한 스마트 멀티플러그 시스템)

  • Kim, Tae-Sun;Park, Byung-Jun;Park, Jun-Hong;Jung, Won-Hee
    • Proceedings of the Korean Society of Computer Information Conference
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    • 2022.01a
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    • pp.307-308
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    • 2022
  • 현대사회는 대부분의 생활을 전자기기를 통해 생활하며 전자기기가 없어서는 안 되는 사회가 되었다. 전자기기의 사용을 제어할 수 있으면 어떨까 라는 생각과 함께 전기 사고로 인한 화재와 전기 사용으로 인한 불안감이 증가하고 있는 점에 주목하였다. 요즘 사회는 전자기기의 사용이 증감함에 따라 대기 전력에 대한 이슈 또한 증가하면서 대기 전력에 관한 관심이 증가하고 있으며 이를 줄이기 위한 정부와 지자체에서 다각도의 노력이 진행 중이다. 매년 1천 건 이상의 전기로 인한 사고가 발생하며 사망자는 50명을 넘어가고 있다. 이러한 위험성을 줄이고 전기로 인한 사고를 예방하기 위해 아두이노와 앱을 무선통신하여 가전제품의 전력사용량을 확인할 수 있으며, 애플리케이션을 통한 제어가 가능하고 전력사용량에 따른 전기세의 계산 또한 가능한 '원격제어가 가능한 스마트 멀티플러그 시스템'을 계발하게 되었다.

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Monitoring and Prediction of Appliances Electricity Usage Using Neural Network (신경회로망을 이용한 가전기기 전기 사용량 모니터링 및 예측)

  • Jung, Kyung-Kwon;Choi, Woo-Seung
    • 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.

전력선통신 기반 A/V 신호 송수신기 설계 및 특성분석

  • Kim, Ji-Hyeong;Kim, Yong-Gap
    • Proceedings of the Korean Institute of Electrical and Electronic Material Engineers Conference
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    • 2009.11a
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    • pp.285-285
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    • 2009
  • Due to a development of a modem technology as Power Line Communication(PLC) over 200 Mbps, the high-speed multi-media data trasmission could be currently possible. In This paper we develop a high quality media transmitter-receiver based on merging the HomePlug AV, which is 200 Mbps class PLC technology and HDMI Interface technology. Smart Live 6 software were used for the assessment of audio property. As the result of measurement of the HD class images by capturing from the receiver of the PLC, the quality of images couldn't be confirm any deterioration, which has compared with original reflections. In case of audio part as the result of confirmation of the Phase, Magnitude, it has been confirmed that over 90% of nomal transmition and receiving of acoustic signal.

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