• KSII Transactions on Internet and Information Systems (TIIS)
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• v.10 no.8
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• pp.3958-3971
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• 2016

With Internet of Things (IoT) technology, home environment becomes smarter than ever. Not only smart devices such as smart phone or smart TV, but also various IoT devices including sensor, smart thermostat, and smart scale has now become very common on the market. These devices have connectivity to the Internet, so that user can read data from the device or control the device using Internet technology. However, due to diversity of smart home requirements, device collaboration in smart home remains a challenging task still. Usually smart home is built with various technologies to fulfill its own purpose, and these purposes cover very wide area from controlling low-power sensor devices to controlling high-performance devices like smart TV and smart phone. This variety of smart home requirements makes smart home very complicated due to mixed network architecture, protocol and technology. In this paper, a framework to enable managing and collaborating heterogeneous IoT devices in smart home environment is proposed. Several programming models are defined in the proposed framework to make application development for heterogeneous devices more intuitive. The proposed framework has been implemented as a web service, and a case study with real-world smart home IoT devices is presented.

• Knowledge Management Research
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• v.19 no.2
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• pp.163-185
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• 2018

In order to solve problems in an uncertain and complicated management environment of the modern world, a creative solution that combines diverse perspectives, knowledge, and effort based on diversity within an organization is required. Smart work environment provides an opportunity to express the potential diversity of an individual, extending the source of ideas to the organization, enhancing communication, and linking and sharing information and knowledge. So, this results in increased creative behavior. The purpose of this study is to investigate the effect of the process of connecting and sharing information and knowledge of organizational members on creative behavior and the effect of smart work environment in the process. The purpose of this study is to identify roles of job autonomy, self-efficacy, knowledge sharing and smart work environment in creative process. For the study, 353 surveys with work use group(156 people) and unused group(197 people). Statistical analysis included validity and reliability analysis, structural model analysis. The results showed that self-efficacy and job autonomy had positive effects on creative behavior and knowledge sharing, and job autonomy had a positive effect on self-efficacy. Knowledge sharing has a positive effect on creative behavior, and mediates the relationship between self-efficacy, job autonomy and creative behavior. Particularly, knowledge sharing has a more positive effect on smart work use group. In case of smart work use group, self-efficacy and job autonomy have a relatively high influence on knowledge sharing rather than direct influence on creative behavior appear. This result implies that the achievements of smart work are revealed in terms of knowledge sharing and creative behavior.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.26 no.6
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• pp.1455-1459
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• 2016

Recently, the frequency of dealing important information regarding financial services like paying through smart device or internet banking on smart device has been increasing. Also, with the development of smart device execution environment towards open software environment, it became easier for users to download and use random application software, and its security aspect appears to be weakening. This study will inspect features of hardware-based smart device security technology. Furthermore, this study will propose a realization method in MTM hardware-based secure smart device execution environment for application software runs that in smart device.

• International Journal of Fuzzy Logic and Intelligent Systems
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• v.15 no.4
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• pp.260-267
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• 2015

In the past, we implemented a web-based smart education platform, but this is not efficient in a smart or mobile education environment. Therefore, in this paper, we propose an Android-based e-board smart platform for a smart or mobile education system. Here, we use Anoto digital pen- and dot pattern-based technologies. This Android-based smart education platform is efficient for a smart education environment. Further, we implement the hardware and software parts of the technologies, an Anoto-based trajectory recognition algorithm, and a probabilistic neural network for handwritten digit and hand gesture recognition.

• Journal of Digital Convergence
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• v.11 no.4
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• pp.35-44
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• 2013

This article is exploring on the concept and realization conditions of 'Smart Education' including the propulsion environment and problems about 'Smart Education'. Based on the concept and realization conditions of 'Smart Education', this paper will review various aspects, such as the technology, infrastructure, school teachers' preparation situation, ecosystem and distribution system, and propose further policy alternatives of 'Smart Education'.

• Journal of Korea Society of Digital Industry and Information Management
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• v.9 no.4
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• pp.177-188
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• 2013

Since the world entered the age called "Smart Revolution", there has also been a lot of changes in the field of education. In educational environment, there is a growing interest in smart learning based on mobile contents, with the development of Smart Devices and ubiquitous technology. This paper is about a research on what effects smart learning has on leaner side when learners make active use of mobile contents in this age of Smart Revolution. First, we embodied teaching plans for some practical classes in forms of mobile contents using M-bizmaker. After the learning process based on the embodied contents for students, we analyzed the survey results on 4 sections-their use of apps, screen composition, technical support, interactions. We also studied the results of a questionnaire on 4 sections-contents, information offering, feedback systems, learner assessment-to evaluate their satisfaction. The research suggests that learner satisfaction can be improved with smart learning based on mobile contents embodied for leaners.

• Journal of Advanced Information Technology and Convergence
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• v.8 no.2
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• pp.129-137
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• 2018

Smart machines are one of the topics of our society recently. A smart machine should have a wiser or smarter function than the past. In the modern society, the environment of each family is being improved toward the direction of smart home. In this environment, smart speakers are now increasingly serving as interfaces for controlling various devices in the home, from devices that listen to conventional music. In this paper, we review the technology development trends of domestic and foreign smart speaker market, and describe the core technologies required. In Korea, while SKT and KT are dominant in the speaker market, major IT companies such as Amazon, Google and Apple are focusing on launching related products and technology development.

• Proceedings of the KIEE Conference
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• 2003.07d
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• pp.2744-2746
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• 2003

ISO/IEC 15408 requires the TOE(Target of Evaluation) Security Environment section of a Protection Profile(PP) or Security Target(ST) to contain a list of assumptions about the TOE security environment or the intended usage of the TOE. This paper presents a specific conditions should be assumed to exist in the smart card environment and the analysis of those conditions developer of smart card PP must consider.

• International Journal of Computer Science & Network Security
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• v.22 no.3
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• pp.303-311
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• 2022

The tremendous growth of the Internet of things is unbelievable. Many IoT devices have emerged on the market over the last decade. This has made our everyday life easier inside our homes. The technology used at home has changed significantly over the past several decades, leading to what is known today as the smart home. However, this growth has also brought new challenges to our home security and privacy. With the smart home becoming more mainstream, cybersecurity issues have become a fundamental concern. The smart home is an environment where heterogeneous devices and appliances are interconnected through the Internet of Things (IoT) to provide smart services to residents. These services include home climate control, energy management, video on demand, music on-demand, remote healthcare, remote control, and other similar services in a ubiquitous manner. Smart home devices can be controlled via the Internet using smartphones. However, connecting smart home appliances to wireless networks and the Internet makes individuals vulnerable to malicious attacks. Remote access within the same environment or over the Internet requires an effective access control mechanism. This paper intends to shed light on how smart home devices are working as well as the type of security and privacy threats of the smart home. It also illustrated the types of authentication methods that can be used with smart home devices. In addition, a comparison of Smart home IoT-based security protocols was presented along with a security countermeasure that can be used in a smart home environment. Finally, a few open problems were mentioned as future research directions for researchers.

• Journal of Korea Multimedia Society
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• v.19 no.2
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• pp.325-333
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• 2016

The development of smart technology has brought the conversion of closed traditional e-learning contents into open flexible smart learning contents consisting of learner-centered modules, without the constraints of time and space by use of smart devices from the uniformed and passive classroom between teachers and learners. It has been demanded an open, personalized and customized teaching and learning contents of smart education and training systems according to wide supply of various smart devices. In this paper, we discuss about the status of the smart teaching and learning systems and analyze the characteristics and structure of the web contents for smart education and training systems by use of smart devices. And we propose a method how to block web contents, to extract them, and adapt personalized segments of web contents by adaptive algorithm into smart learning devices. We extract blocks from the web contents based on the smart device information and the preference information of the learners from existing web contents without the hassle of learners environment. After specifying a block priority from the extracted web contents by the adaptive segment algorithm, it can be displayed directly to the screen to fit the individual learning progress of the learners.