• Journal of the Ergonomics Society of Korea
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• v.31 no.4
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• pp.585-591
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• 2012

Objective: The aim of this study is to propose the contactless gesture-based interface on smart mobile devices for especially rhythm action games. Background: Most existing approaches about interactions of smart mobile games are tab on the touch screen. However that way is such undesirable for someone or for sometimes, because of the disabled person, or the inconvenience that users need to touch/tab specific devices. Moreover more importantly, new interaction can derive new possibilities from stranded game genre. Method: In this paper, I present a smart mobile game with contactless gesture-based interaction and the interfaces using computer vision technology. Discovering the gestures which are easy to recognize and research of interaction system that fits to game on smart mobile device are conducted as previous studies. A combination between augmented reality technique and contactless gesture interaction is also tried. Results: The rhythm game allows a user to interact with smart mobile devices using hand gestures, without touching or tabbing the screen. Moreover users can feel fun in the game as other games. Conclusion: Evaluation results show that users make low failure numbers, and the game is able to recognize gestures with quite high precision in real time. Therefore the contactless gesture-based interaction has potentials to smart mobile game. Application: The results are applied to the commercial game application.

• Journal of Integrative Natural Science
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• v.11 no.3
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• pp.148-153
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• 2018

In this paper, we propose a hybrid-recognition system to obtain the state information and control the Internet of Things (IoT) based smart devices using two recognitions. First, we use a facial recognition for checking the owner of the mobile devices, i.e., smartphones, tablet PCs, and so on, and obtaining the state information of the IoT based smart devices, i.e., smart cars, smart appliance, and so on, and then we use a fingerprint recognition to control them. Further, in the conventional system, the message of the state and control information between the mobile devices and smart devices is only exchanged through the cellar mobile network. Thus, we also propose a direct communication to reduce the total transmission time. In addition, we develop a testbed of the proposed system using smartphones, desktop computers, and Arduino vehicle as one of the smart devices. We evaluate the total transmission time between the conventional and direct communications and show that the direct communication with the proposed system has better performance.

• Journal of Digital Contents Society
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• v.18 no.7
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• pp.1465-1474
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• 2017

The study analyzed how the user uses the smart mobile device to assess the effects of the user's acceptance factor and user-factors affecting the work performance of Public Agencies. And Prove that leveraging smart devices can improve your business performance, It was aimed at making strategic recommendations to improve the suitability of smart mobile devices and Tasks. Smart mobile devices User Innovation has affected Usefulness, such as B=.296. p.000, it also affected Perceived Ease-of-Use, such as B=.326, p.000. job fitness has affected Perceived Ease-of-Use, such as B=.261, p.001. Usefulness and Ease-of-Use had a positive affect on work performance. Each of affect on much of B=.382 and B=.488(p.000). At the conclusion, it has been validated that the effects of smart mobile devices user Innovation and job fitness on work performances are mediated by perceived usability and perceived ease of use of the smart mobile device.

• Journal of Information Technology Applications and Management
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• v.23 no.3
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• pp.49-59
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• 2016

Rapid technological advancements and widespread adoption of smart phones in recent years provide students with new opportunities for getting knowledge and making researches in innovation century. As the penetration of smart phone devices in education increases, there is a large growth in the use of these devices especially among the youth. In spite of increasing importance of smart devices in education, the significant features of these technology devices for general learning have not been experientially addressed. In this study we are going to investigate the comparison of smart phone devices and find the necessary conditions for using mobile devices as an educational tool by a conjoint method. There will be five attributes: screen size, batter type, mobile OS, memory capacity and price. By surveying we got the results which showed us the respondents' desire of using specific smart phone; thus, we defined that screen size attribute is the most important device characteristic.

• Smart Media Journal
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• v.1 no.4
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• pp.44-51
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• 2012

A software platform for the next-generation, smart user-interface of mobile devices is described as in this paper. The proposed platform is developed to adapt new devices that may appear in the future through extending the Android platform. Dynamic loading function of software module is developed in order to download and install new software modules for the new devices. Also, platform technology for utilizing external devices to improve quality of service and dynamic switching of wireless interface to reduce power consumption of platform are developed.

• Journal of information and communication convergence engineering
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• v.9 no.5
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• pp.567-572
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• 2011

As the mobile devices have powerful CPUs and memories, it is possible to carry the large volumes of design drawings, such as DXF files, on mobile devices. However, since the format of a DXF file is the ASCII, it has the shortcoming where the size of a file is larger than a binary formatted file and it is difficult to display the entities of drawings quickly on mobile devices. In this paper, we design the DXF manager system on a smart phone. To speed up the rate of the display and panning, the DXF manager hires the spatial index, the fixed grid file. We also implement the system on the Samsung Omnia-1$^{(R)}$ to exploit the Windows Mobile$^{(R)}$ operating system.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.22 no.2
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• pp.284-294
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• 2018

Statistical methods have been widely used to estimate the remaining battery runtime of mobile smart devices, such as smart phones, smart gears, tablets, and etc. However, existing work available in the literature only considers a particular statistical method. Thus, it is difficult to determine whether statistical methods are applicable to estimating thr remaining battery runtime of mobile devices or not. In this paper, we evaluated the performance of statistical methods applicable to estimating the remaining battery runtime of mobile smart devices. The statistical estimation methods evaluated in this paper are as follows: simple and moving average, linear regression, multivariate adaptive regression splines, auto regressive, polynomial curve fitting, and double and triple exponential smoothing methods. Research results presented in this paper give valuable data of insight to IT engineers who are willing to deploy statistical methods on estimating the remaining battery runtime of mobile smart devices.

• Journal of Welding and Joining
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• v.31 no.4
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• pp.34-41
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• 2013

In the smart life era where the majority of economically active population uses mobile devices, smart devices have formed a new service market. In this study, we developed a shipyard quality management application using mobile devices such as smart phones and tablet PCs. For this purpose, the problems were derived through the analysis of the quality management work on shipyard and the considerations were extracted to build a smart work environment by analyzing the case studies of smart work in other industrial fields. Among the shipyard quality management work, functions thought to be highly utilized when converted to a mobile system has been developed as a mobile application. The application was developed by applying an object-oriented component-based development (ooCBD) methodology, and is expected to improve the user experience and the efficiency of quality management operations in shipyard.

• Proceedings of the Korea Information Processing Society Conference
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• 2011.04a
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• pp.40-42
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• 2011

Smart hand-held devices like iPhone, iPad, Andriod and other mobile-OS machines are becoming a well known part of our daily lives. Utilization of these devices has gone beyond the expectations of their inventors. Evolution of Apple's iOS from a mobile phone Operating System to a wholesome platform for Portable Gaming is an adequate proof. Using these smart devices people are downloading applications from numerous online App Stores. Utilizing remote storage facilities and confining themselves to computing power far below than an entry level laptop, netbooks have emerged. Google's idea of Chrome OS coupled with Google's AppEngine is an eye-opener for researchers and developers. Keeping all these industry-proven innovations in mind we are proposing a Context-Driven Cloud-Oriented Application Architecture for smart devices. This architecture enables our smart devices to behave smarter by utilizing very less of local resources.

• Journal of the Semiconductor & Display Technology
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• v.19 no.1
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• pp.23-28
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• 2020

In Smart mobile devices embedding big.LITTLE architectures, the conventional multi-core assignment scheme for user applications may incur wasteful energy consumption and long response time. In this paper, we propose a user experience assisted energy-efficient multicore assignment scheme. Our simulation results show that the proposed scheme achieves at 40% less energy consumption and at 20% less response time comparing to the legacy scheme.