• Journal of Electrical Engineering and Technology
• /
• v.12 no.4
• /
• pp.1369-1375
• /
• 2017

This paper presents an optimal operation scheduling algorithm for a smart home with energy storage system, electric vehicle and distributed generation. The proposed algorithm provides the optimal charge and discharge schedule of the EV and the ESS. In minimizing the electricity costs of the smart home, it considers not only the cost of energy purchase from the grid but also the life cost of batteries. The life costs of batteries are calculated based on the relation between the depth of discharge and life time of battery. As the life time of battery depends on the charge and discharge pattern, optimal charge and discharge schedule should consider the life cost of batteries especially when there is more than one battery with different technical characteristics. The proposed algorithm can also be used for optimal selection of size and type of battery for a smart home.

• Journal of the Korea Academia-Industrial cooperation Society
• /
• v.10 no.10
• /
• pp.2741-2749
• /
• 2009

There have been many researches to detect and recover from faults on smart home environment, because these faults should lower its reliability. while, most of these researches have addressed functional defects of devices or software malfunction, few attempts have been made to deal with faults which may occur due to the inter relationships among devices. In this paper, we define the relationships among devices as rules, and propose a method for generating fault diagnosis knowledge which defines the symptoms and causes of faults. We classify the contexts of devices into two sets, depending on whether it satisfies the rules or not. when this method is applied to smart home environment, it is feasible not only to detect faults that may occur due to the relationships among devices but to identify their causes at real time.

• Journal of Distribution Science
• /
• v.18 no.5
• /
• pp.15-23
• /
• 2020

Purpose: This research focused on the fact that the Internet platform is integral to IoT products such as Smart home and studied consumer buying decisions when products are sold bundled with internet service. Contrary to the sales strategies of telecommunication companies, some companies sell IoT products alone, for example Google, Kakao, and Naver. In this market situation, the sales strategies of Korean telecommunication companies were analyzed with bundling theory and technology acceptance model, then it was conducted to figure out which sales and distribution strategies could affect consumers' purchase behavior. Research design, data, methodology: Data was collected by149 questionnaires from groups who are familiar with IoT smart home systems, then exploratory factor analysis and regression were used to analyze the research model. Results: The results revealed that the perceived ease of use and the perceived usefulness affect the purchase intention of IoT-based products; however, this effect was not found in the case of bundled products. In other words, it is found that selling and distributing Internet services and IoT products together does not affect consumers' purchases. Conclusion: It is suggested that Korean telecommunications companies' existing sales and distribution strategies for IoT products need to be changed according to its characteristics.

• KSII Transactions on Internet and Information Systems (TIIS)
• /
• v.14 no.5
• /
• pp.1967-1983
• /
• 2020

The goal of this paper is to analyze and build an algorithm to recognize hand gestures applying to smart home applications. The proposed algorithm uses image processing techniques combing with artificial neural network (ANN) approaches to help users interact with computers by common gestures. We use five types of gestures, namely those for Stop, Forward, Backward, Turn Left, and Turn Right. Users will control devices through a camera connected to computers. The algorithm will analyze gestures and take actions to perform appropriate action according to users requests via their gestures. The results show that the average accuracy of proposal algorithm is 92.6 percent for images and more than 91 percent for video, which both satisfy performance requirements for real-world application, specifically for smart home services. The processing time is approximately 0.098 second with 10 frames/sec datasets. However, accuracy rate still depends on the number of training images (video) and their resolution.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
• /
• 2017.10a
• /
• pp.267-269
• /
• 2017

As the Internet technology of things is developed, a variety of things Internet devices are emerging. Manufacturers of such Internet devices are registering with the IFTTT to control the device so that the user can use the service. However, most object Internet devices are controlled by smartphone applications, so when a manufacturer uses different devices, many applications should be installed and used. In this paper, we design a smart home service remote control that can control various smart home devices in cooperation with IFTTT automated service platform.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
• /
• 2014.05a
• /
• pp.850-852
• /
• 2014

Recently, the development of Machine to Machine (M2M) communication has been largely accomplished in a variety of fields including smart home. In M2M communication, the role of sensor node is only limited to gather data and send them to upper application layers. In this research, the limited role of the sensor node in traditional M2M communication is improved in order for the devices to make inference, which makes it possible to provide basic context-aware services within sensor node level. Therefore, implementation of rule-based inference system on microcontroller for smart home is proposed.

• Journal of Korea Trade
• /
• v.26 no.8
• /
• pp.1-20
• /
• 2022

Purpose - The paper aims to develop the theory of TAM and perceived risk through a more comprehensive and rigorous understanding of the influencing factors of the consumer's adoption of LG HomNet smart home from the perspective of trade-offs. Design/methodology - Based on the TAM and perceived risk theory, combined with the individual characteristics of consumers in the context of information technology as the external factors of the technology acceptance model, this paper constructs a theoretical model of the factors affecting the use intention of the consumer. It was empirically tested by using SEM, and survey data was collected from 458 respondents. Findings - The research results show that 9 hypotheses of the research model are supported and have reliable prediction accuracy. Consumers' perceived interest, perceived connectivity and perceived controllability have a significant positive impact on their intention to use. In addition, this paper also confirmed the mediating effect of perceived usefulness and perceived ease of use. Originality/value - Consumers are very concerned about gains and losses. Low-level performance risks, security risks, and financial risks will drive the consumer to have a stronger intention to use, and financial risks have the strongest impact. This research provides a useful implication and guidance for smart home equipment manufacturers and service providers in product and service innovation and marketing and promotion strategies.

• The Journal of the Institute of Internet, Broadcasting and Communication
• /
• v.16 no.6
• /
• pp.25-31
• /
• 2016

With the development of IOT technology and the expansion of ICT services recently, a variety of home network services have been advanced based on wired and wireless high speed telecommunication. Domestic and global companies have been studying on the innovative technology for the users using IOT based technology and the environment for the smart home services has been gradually developed. The users live their lives with more convenience due to the expansions and developments of smart phones. However, the threatening on the security of the smart home network had occurred by various attacks with the connection to the smart environment telecommunication, lack of applications on low powered and light weight telecommunication, and the problems of security guideline. In addition, the solutions are required for the new and variant attacking cases such as data forgery and alteration of the device for disguising approach with ill will. In this article, the safe communication protocol was designed using certification management technique based on AKI which supplemented the weakness of PKI, the existing certification system in the smart environment. Utilizing the signature technique based on ECDSA, the efficiency on the communication performance was improved, and the security and the safety were analyzed on the security threat under the smart home environment.

• Journal of the Korean Home Economics Association
• /
• v.49 no.6
• /
• pp.13-22
• /
• 2011

This study investigated the influence of product attribute on initial trust and purchase intention of sensor-based smart clothing. Questionnaires were administered to 256 university students in Daegu, Korea. The results were as follows: First, there were 5 factor solutions in product attribute of smart clothing; comfortableness, health usefulness, management easiness, safety, and aesthetic appearance. Second, there were significant effects on initial trust in heath usefulness, management easiness and safety. Third, there were significant effects on purchase intention in health usefulness, management easiness and aesthetic appearance. Fourth, there was a significant effect on purchase intention in initial trust.

• Journal of the Korean housing association
• /
• v.27 no.6
• /
• pp.105-112
• /
• 2016

Although smart homes have been much developed in China, smart homes has been mainly towards the adoption of new technologies. There is little development of smart homes to consider and meet residents' needs in China. This study investigated residents' living in apartments in China using a questionnaire to identify their demands on smart homes. Through the survey, this study analyzed residents' space use patterns, daily living patterns etc. according to their ages. The results implied that there are significant differences in the use of spaces and demands on daily living within apartments. The results of this study should be considered for the development of smart homes in future. For example, it might be easier for people in the 20's to adopt Internet of Things (IoT) and environmental control systems compared to other age groups because most of them in the 20's use smart phones effectively without difficulties. In case of people in their 50's who stay home more times for taking a rest and eating meals compared to other age groups, smart technologies should be applied to support their health care and works in housings. This research emphasizing residents' experiences could be basis for the development of smart homes in China.