• Journal of Digital Convergence
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• v.18 no.4
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• pp.389-395
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• 2020

This study is about finding effects of home appliances to home furnishing. Recently, home appliances go beyond smart by technology development to show design integrated with furniture. Accordingly, this study is First, from the perspective of home furnishing, I examined the meaning of living space for millennial. Second, I investigated home appliances that recently released for millennial, and analyzed appliances trends, focused on product concepts and styling keyword. Third, conducted in-depth interview focusing on four parts : meaning of space, experience of home- furnishing, appliance and interior, feeling of current appliances. Research has shown that design considered space relevance can make home appliances the main of interior. Future studies will need to validate quantified statistical data. Through this study, I hope that will help to set the role and design direction of home appliances in the future.

• IEMEK Journal of Embedded Systems and Applications
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• v.10 no.4
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• pp.213-219
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• 2015

Real-time energy monitoring systems is a demand-response system which is reported to be effective in saving energy up to 12%. Real-time energy monitoring system is commonly composed of smart-plugs which sense how much electrical power is consumed and IHD(In-Home Display device) which displays power consumption patterns. Even though the monitoring system is effective, users should themselves match which smart plus is connected to which appliance. In order to make the matching work to be automatic, the monitoring system need to have appliance identification algorithm, and some works have made under the name of NILM(Non-Intrusive Load Monitoring). This paper proposed an algorithm which utilizes multiple classifiers to improve accuracy of appliance identification. The algorithm proposes to understand each classifiers performance, that is, when a classifier make a result how much the result is reliable, and utilize it in choosing the final result among result candidates from many classifiers. By using the proposed algorithm this paper make 4.5% of improved accuracy with respect to using single best classifier, and 2.9% of improved accuracy with respect to other method using multiple classifiers, so called CDM(Commitee Decision Mechanism) method.

• Journal of Information Processing Systems
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• v.13 no.6
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• pp.1459-1466
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• 2017

Recently, the development of the smart home field provides a range of services to install and keep the smart home appliance in a user's residential environment pleasantly. However, the conventional system method is not convenient enough to use properly because users have to select a device and manually operate the device on their own. In this paper, we propose a system to set the priority of the devices selected by the user and proceed with the task. When a user selects a device, the system recommends an optimal device associated with the device. The system compares and sets the priority of each device, carrying out the task one by one according to the set priority. Therefore, the proposed system is expected to provide users with increased convenience and more efficient task management.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.12 no.3
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• pp.89-97
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• 2012

In recent years, efficient energy management technologies are required, as environmental problems have emerged worldwide. In response to this, smart home services focused on efficient energy management technology seems to be emerging. And the integration of technology of user-oriented real-time energy monitoring and control systems is required. In this paper, we present a location-based green home service using smart phones for efficient energy management in a house. We design a green home network system to apply the green home service, and implement an integrated gateway system which connects and controls each appliance in a house. We develop appliance control services and indoor location services on smart phones, and determine whether user's occupancy of each room by measuring the location according to the variation of signal strength. In order to evaluate the performance of the energy savings, we have set up the scenarios of energy usage pattern and have compared the energy variation resulting from the application of the indoor location services with smart meters. A comparison of energy usage demonstrated that the energy saving of a house with the proposed location-based green home service was down up to 30%.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.3 no.1
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• pp.84-95
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• 2009

The ubiquitous smart home is the home of the future, which exploits context information from both the human and the home environment, providing an automatic home service for the human. Human location and motion are the most important contexts in the ubiquitous smart home. In this paper, we present a real-time human tracker that predicts human location and motion for the ubiquitous smart home. The system uses four network cameras for real-time human tracking. This paper explains the architecture of the real-time human tracker, and proposes an algorithm for predicting human location and motion. To detect human location, three kinds of images are used: $IMAGE_1$ - empty room image, $IMAGE_2$ - image of furniture and home appliances, $IMAGE_3$ - image of $IMAGE_2$ and the human. The real-time human tracker decides which specific furniture or home appliance the human is associated with, via analysis of three images, and predicts human motion using a support vector machine (SVM). The performance experiment of the human's location, which uses three images, lasted an average of 0.037 seconds. The SVM feature of human motion recognition is decided from the pixel number by the array line of the moving object. We evaluated each motion 1,000 times. The average accuracy of all types of motion was 86.5%.

• Korean Institute of Interior Design Journal
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• no.28
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• pp.44-50
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• 2001

This study propose the new concept of residence by analyzing the change of residence through the characteristic of popularity and degree of development of technology on home network information appliance for intelligent home. Accordingly, Cyber village represented as home automation and extend to information of society. it encourage need of information and multimedia of home. It expect home information infrastructure for accepting informations, which make smart home to linked home-working home-learning home-treatment. home-shopping and home-banking. The system of intelligent home is the intelligence of human-biology in the side of environmental friendly and multi-function. it distinguish the system of security, controlling system of inside environment, supporting system of house-working, automatic controlling, house working. Future house require to meet demand of young generation, such as small residental space, the multi-functional space, the flexible space, making mood for dual income couple and of single as intelligent home. Accordingly, basic purpose which are pleasantness, the safe and the convenience the mobile multi-function as well as networking with controlling of temperature, security, health-test, home-entertainment, home-office and consider environment together.

• Journal of Korean Institute of Industrial Engineers
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• v.38 no.3
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• pp.182-190
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• 2012

With the progress of both wire and wireless home networking technology, various projects on smart home have been carried out in the world (Harper, 2003), and at the same time, new approaches to interact with smart home systems efficiently and effectively have also been investigated. A gesture-based interface is one of these approaches. Especially with advance of gesture recognition technologies, a variety of research studies on gesture interactions with the functions of IT devices have been conducted. However, there are few research studies which suggested and investigated the use of gestures for controlling smart home appliances. In this research the gestures for selected smart home appliances are suggested based on a user centered approach. A total of thirty-eight functions were selected, and a total of thirty participants generated gestures for each function. Based on the Nielsen (2004), Lee et al. (2010) and Kuhnel et al. (2011), the gesture with the highest frequency for each function (Top gesture) has been suggested and investigated.

• Journal of the Korean Institute of Intelligent Systems
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• v.19 no.6
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• pp.860-864
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• 2009

In this paper, we propose effective integration and operation methods for environment-friendly smart home appliance which are applying hardware integration technology using high speed Ethernet network technology and software integration technology using RT middleware. We also describe the integration of distributed hardware device by using high speed Ethernet and software integration technology by using RT middleware. We implement the integration management system of environment-friendly smart home appliance applying high speed Ethernet and RT middleware technology.

• KIISE Transactions on Computing Practices
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• v.21 no.8
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• pp.555-560
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• 2015

In this paper, we analyzed the existing control methods of the legacy wearable-based CE devices and identified the requirements for improvements. In the conventional system, users waste their time configuring the initial network and registering their devices with the management server. To overcome these hurdles, we implemented the Easy-Setup framework for smart phones to personalized cloud devices.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2013.10a
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• pp.737-740
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• 2013

The widespread use of smart home appliances with smart home networking is leading to a next generation of a new technology that exploit user contextual information to provide a richer experience. However, in the most part of home networking systems the intelligent personalization services between user and home appliances have not been adequately supplied in respect of the long lifespan of the legacy home appliances. In addition, without installing smart home appliances when constructing new building the users can not use this service. To use this service, the legacy home appliance need to attach enabler equipped with the various sensors just as it is smart home appliances. The goal is to create a service that enables appliances to exchange information and control their actions through the IoT gateway to achieve nonintrusive behavior and customized services without human intervention. In this paper, we propose a ontology model to represent the user context to be able to induce right service automatically and use it to discover, utilize and enhance different services in real time that the user may be interested in.