• Proceedings of the Korean Institute of Interior Design Conference
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• 2006.11a
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• pp.91-94
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• 2006

This study aimed at researching Healthcare by the Smart Technology and the current change of people's need for Healthcare in the Bathroom. In future, it is necessary to develop the Bathroom of varied purpose. The Smart-healthcare will be the major issues at Smart Home design. Because increasing interest in Healthcare. Smart Technology is able to apply the design a bathroom for the architectural relations and realizes a remote healthcare in the Bathroom. This study will be analyze change function of Bathroom and the Smart Technology and Healthcare Systems. Therefore this study make proposal for the design of the Bathroom and the remote control of Healthcare using Smart Technology System in harmony with the special property for hygiene, physiology and Healthcare in the Bathroom.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.40 no.2
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• pp.313-324
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• 2015

In this paper, in order to support the construction of a smart home environment of low power consumption, we propose a heterogeneous interface determination engine and architecture. Technology of "smart home" is in the spotlight according to the development of IT technology nowadays. Smart homes are configured with multiple sub-networks, and each sub-network is formed by the smart devices using various communication interfaces. Thus, in the smart home environment, interlocking technology between heterogeneous interfaces is essentially required for supporting communication between different networks. Further, each communication interface is a difference in power consumption, and home smart devices are often operated in 24 hours, especially smart phones and other wireless devices are sensitive to power consumption. Therefore, in order to build a energy efficient home network, It is important to select the appropriate interface to handle traffic depending on the situation. In this paper, we propose "The Heterogeneous Interface Decision Engine and Architecture for constructing of Low Power Home Network," and analyze the performance of the proposed method and verify the validity through experiments on the test bed.

• Journal of Korean Home Economics Education Association
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• v.25 no.1
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• pp.155-172
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• 2013

This study developed smart education programs on clothing in Home Economics education for middle school students and assessed the validity of the programs. To create a self-directed adaptive learning model, 'Textile fibers' was selected as a topic. A digital textbook was developed to provide an adaptive learning experience to each student. The students can learn the contents of the digital textbook via their smart phones or tablet PCs in their Home Economics classes. To create a cooperative learning model for a good communication, 'Recycling clothes' was selected as a topic. Students can cooperate to solve the problems via Google docs and facebook in their Home Economics classes. The programs gained more than 4.5 on a 5-point Likert scale. The results of the assessment indicated that the smart education programs on clothing are appropriate to enhancing the self-directed learning, communication, and cooperation competencies of the students in Home Economics classes.

• Journal of Intelligence and Information Systems
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• v.13 no.4
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• pp.105-120
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• 2007

The primary purpose of this study lies in developing an intelligence level measurement model which can be applied to information home appliances. To accomplish the study purpose, the literature on computer engineering and intelligence is comprehensively researched and critical elements necessary for measuring the intelligence of smart home appliances are extracted. Then an intelligence level measurement model is derived, and the model is validated by several academic and practical experts using Delphi technique. The measurement model developed in the study, on the one hand, can provide users with some objective standards to evaluate the intelligence level of smart home appliances. On the other hand, it can help home appliance product developers or related service providers decide the target intelligence level of the products or services more specifically. Consequently, the model can contribute to the revitalization of the smart home appliance industry as a whole.

• The Journal of Korean society of community based occupational therapy
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• v.1 no.2
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• pp.61-69
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• 2011

This paper proposes that people with disability can be successfully supported by smart homes only when their needs of the technological interventions are understood and integrated in traditional universal design. Understanding the patient's home environment is an integral part of treatment and discharge planning. This paper suggests on architectural barriers commonly found in the home, ways to eliminate them and a general overview of methods for assessment and intervention. It is expected that the electronics, information and communication technology can be an alternative of traditional universal designs for motor dysfucntion, sensory dysfunction and cognitive dysfunction.

• 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.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.11 no.3
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• pp.67-74
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• 2011

With the rapid increase of recent smart phone diffusion, the convergences of home network environments and intelligent home appliances such as digital TV, internet refrigerator, DVD, digital video, communication appliance using a smart phone are highly focussed and become the recent trends in IT industry. In this paper, we design and implement home appliance control system based on the smart phone(Android) network environments. Through several experiments using Android smart phone, we confirmed that the proposed system can control and monitor indoor home appliances conveniently anywhere and anytime from outdoor.

• International journal of advanced smart convergence
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• v.11 no.2
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• pp.211-218
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• 2022

Pandemic situations such as COVID-19 can occur supply chain crisis. Under the supply chain crisis, delivering farm products from the farm to the city is also very challenging. Therefore it is essential to prepare food sufficiency people who live in a city. We firmly insist on food self-production/consumption systems in each home. However, since it is impossible to grow high-quality crops without expertise knowledge. Therefore expert system is essential to grow high-quality crops in home. To address this problem, we propose a smart kitchen farm as a data-based monitoring system and platform with ICT convergence technology. Our proposed approach 1) collects data and makes judgments based on expert knowledge for home users, 2) increases product quality of the smart kitchen farms by predicting abnormal/normal crops, and 3) controls each personal home cultivation environment through data-based monitoring within the smart central server. We expect people can cultivate high-quality crops in thir kitchens through this system without expert knowledge about cultivation.

• Journal of the Korean Institute of Intelligent Systems
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• v.17 no.2
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• pp.179-184
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• 2007

This paper deals with a context-aware application based on Bayesian network in the smart home. Bayesian network is a powerful graphical tool for learning casual dependencies between various context events and obtaining probability distributions. So we can recognize the resident's activities and home environment based on it. However as the sensors become various, learning the structure become difficult. We construct Bayesian network simple and efficient way with mutual information and evaluated the method in the virtual smart home.

• Journal of the Korean Institute of Gas
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• v.23 no.6
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• pp.97-102
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• 2019

In this study, city gas is the most commonly used in homes, and gas accidents are increasing as demand increases. Among them, accidents due to user carelessness are the most and we try to provide information by establishing scenarios to effectively prevent this. The gas leak in the home is an enclosed space, and the appropriate Gaussian model is applied. As smart home control technology is developed by the 4th industrial revolution, it will make a foundation to provide information through program to predict and prevent gas leakage accidents and apply it to smart home safety platform.