• 제어로봇시스템학회:학술대회논문집
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• 2005.06a
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• pp.1072-1075
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• 2005

This paper presents that TD method is applied to the human adaptive devices for smart home with context awareness (or recognition) technique. For smart home, the very important problem is how the appliances (or devices) can adapt to user. Since there are many humans to manage home appliances (or devices), managing the appliances automatically is difficult. Moreover, making the users be satisfied by the automatically managed devices is much more difficult. In order to do so, we can use several methods, fuzzy controller, neural network, reinforcement learning, etc. Though the some methods could be used, in this case (in dynamic environment), reinforcement learning is appropriate. Among some reinforcement learning methods, we select the Temporal Difference learning method as a core algorithm for adapting the devices to user. Since this paper assumes the environment is a smart home, we simply explained about the context awareness. Also, we treated with the TD method briefly and implement an example by VC++. Thereafter, we dealt with how the devices can be applied to this problem.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.13 no.6
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• pp.2781-2798
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• 2019

Thanks to internet, as one of indispensable parts of our lives, many devices that we use in our daily lives like TV, air conditioner, refrigerator, washing machine, can be monitored and controlled remotely by becoming more intelligent via Internet of Things (IoT) technology. Smart Home applications as one of the elements of smart cities, are individually the most demanded application without question. In this study, Smart Energy Management (SEM) system, based on NodeMCU and Android, has been designed for SEM, which is a part of the smart home application. With this system, household energy consumption can be monitored in real time, as well as having the ability to record the data comprising of operation times and energy consumption information for each device. Additionally, it is ensured to meet the energy needs on a maximized level possible, during the hours when the energy costs are lower owing to the SEM system. The Android interface provides the users with the opportunity to monitor and change their electricity consumption habits in order to optimize the energy efficiency, along with the opportunity to draw up of a daily and weekly schedule.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.16 no.5
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• pp.27-32
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• 2016

In general, IoT(Internet of things) designate the intelligence technologies and services which interact all necessity information between human and things, things and thing and things and systems with all things connecting through the internet based. The smart home in present of IoT environment fuses the daily supplies/equipment which needs to use for the private life with the internet of things that is the fruit of the converged business through all most private consumption related in vastly. The concept of smart home has been built around early 2000s due to the spread of high speed internet and advanced of smart electronics and internet, furthermore influencing by the enhancement of wireless network and smart devices, it is advanced as a smart home within the internet of things environment. Smart home service inside the house which most closely implemented with personal life is being developed and advanced in various forms. These developments may exert a positive effect, but if it does not resolve the security issues for the smart home service, then it may cause a big plague of privacy and personal life.

• Journal of Convergence for Information Technology
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• v.8 no.1
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• pp.1-7
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• 2018

A smart-home is considered as one of most important alternatives of future homes with rising attention on IT technologies. The purpose of the study was to analyse the trend of smart-home technologies and to see how they reflect changing lifestyle needs. The research method includes a content analysis and a case study. The result shows that 'automation' functions are 35% of total. 'Health'(19%) and 'entertainment'(15%) functions are followed by 'Energy'(15%), 'Information'(11%). and 'relationship(6%).' This study is meaningful in that it examined smart-home technologies centering on the needs of residents rather than technological perspectives. Further researches on specialized smart-homes should be continued reflecting segmented needs of residents such as a medical home and a energy saving home etc.

• IEMEK Journal of Embedded Systems and Applications
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• v.13 no.3
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• pp.133-141
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• 2018

There are increasing interests on smart home systems. However, most of the existing works focus on the functionality itself. In this paper, we propose an extensible smart home system based on low power networking such as CoAP, 6LoWPAN, and Zigbee. The proposed home IoT system consists of Home APP, Home Server, Home Broker, and Power Devices. Each component of the system is connected by the low-power network technologies aforementioned. As the end device, Power Device senses the current consumption of the attached appliance and controls the power to it. Power Device reports the sensing data to Home Server via Home Broker. The Home Broker enhances the scalability of the system. Home Broker extends the service area and the user's services, and it manages the connection of the underlying devices and processes, and transmits data to Home Server from Power Devices. Through the experimental evaluation, we show that the proposed system achieves the design goals such as extensibility and low power networking.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.15 no.3
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• pp.85-90
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• 2015

As the population in Korea is feastly aging, various issues for living environment for elderly people are reported. Context-aware-based smart home system is also considered as one of the issues and the needs of it increases. Even though many researches are recently reported about context-aware-based smart home system, it is hardly found for elderly-people-optimized system. Therefore, in this paper, we surveys in three categories: general context-aware system, system for smart home, and context-aware home system for elderly people. After analyzing the surveys, we address issues to be solved for elderly-people-optimized context-aware-based smart home system and proposed appropriate research directions for the system.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2011.05a
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• pp.351-354
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• 2011

Home network system makes it available for controlling inside home and for controlling from outside as well with personal computer, cellular phone or smart phone, by connecting diverse information equipments within home such as lighting, gas, and heating equipments with network Integrated server and wall-pad, which form home network system, have demerits as saying of being high-priced and of needing to implement network infrastructure. Also, there is also risk, which is unavailable for controlling equipments inside home, or can cause malfunction of equipments given the occurrence of a problem about integrated server This study suggested the intelligent home network system, which uses smart phone of supplementing these merits of home network system. It substituted high-specification input & output equipment in the currently and widely supplied smart phone for display and touch screen, which are user interface part of the existing wall-pad, and suggest the common home network system by concentrating management and control function of home network on smart phone.

• Journal of Technology Innovation
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• v.28 no.4
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• pp.97-126
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• 2020

This study evaluated its potentials by quantitatively analyzing the national economic impact of the smart home-related industry, which is attracting attention as a core industry of the 4th industrial revolution. For the analysis, the smart home-related industries were classified into manufacturing and service industries through a literature review of the previous studies. Using the 2018 input-output table, this paper analyzed linkage effects between industries as well as spillover effects in the production, value-added, employment and job. As a result, the smart home manufacturing and service sectors showed a higher spillover effect in value-added than other industries in each industrial field. In the smart home industry, the spillover effects of manufacturing sector to service sector are larger than those of service sector to manufacturing sector. Moreover, it was confirmed that smart home industry was highly related to not only the technology-intensive industry, but also the service sector for smart cities, smart cars, Fin-tech, and etc. On the other hand, the smart home manufacturing sector is a final demanding industry with relatively higher backward linkage effect than forward linkage effect. In the smart home service sector, the forward linkage effect was relatively high compared with the backward linkage effect, indicating that it was an industry with a high supply function to other industries.

• Convergence Security Journal
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• v.20 no.4
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• pp.169-176
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• 2020

Recently, the era in which various services using smart devices are used is sometimes referred to as the so-called "smart era". Among these, Smart Home Service' have not only brought about significant changes in the residential environment and culture, but are evolving very rapidly. and The 'Smart Home Service' provides more convenient services to users through communication between various electronic products in general homes, and has a bright future in the future. In particular,'Smart Home Service' provides various services combined based on IoT(Internet of Things) technology and wired/wireless communication in connection between various devices. However, such a "smart home service" inherits the security vulnerabilities of the underlying technologies such as the Internet of Things and wired and wireless communication technologies, and accidents that lead to the leakage of personal information and invasion of privacy continue to occur. So, it is necessary to prepare a countermeasure and prevention against the weak factors of the underlying technologies. Therefore, this paper is expected to be used as basic data for future application technology development and countermeasure technology by examining various security vulnerability factors of 'Smart Home Service'.

• KIPS Transactions on Computer and Communication Systems
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• v.6 no.3
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• pp.143-158
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• 2017

Smart Home Appliance which makes people to operate machines in the home by remote control is service or technology to provide convenience. It is close to home, so it has privacy problem and security problem. If Smart Home Applications is attacked, Scale of damage is anticipated. In case of products from overseas country, various vulnerability has been announced every year. Therefore, It is necessary to identify and to analysis threats of Smart Home Appliance using systematically method for using safe Smart home appliance service. In this paper, we present check list for identifying and analyzing threats using Threat Modeling and then we analyzed the Domestic Smart Home Appliance using check list which we present.