• Journal of Information Technology Services
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• v.17 no.2
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• pp.17-33
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• 2018

The purpose of this study is to verify the moderating effect of mobile divide on the relationship between individual characteristics and the use outcomes of smart device. Data was collected through a survey for periods from May 12, 2017, to May 17, 2017. As a result of multiple regression analysis based on collected data, self-efficacy, information seeking desire and culture capital have a positive effect on the use outcomes of smart device. To examine the moderating effect of mobile divide, we conducted a hierarchical regression analysis by calculating the interaction variables of the independent variable and the mobile literacy. As a result of the analysis, it was found that mobile literacy has negative moderating effect between self-efficacy and the use outcomes of smart device. The results of this study can be interpreted as the higher the self-efficacy and information desire for ICT technology users are. In addition, it can be interpreted that the smart device is convenient in the cultural activities of individuals, and therefore, it is highly utilized. Next, among those who have excellent mobile use ability, those who have high confidence in ICT technology can be interpreted as having low utilization because they recognize that the benefits provided by smart devices are familiar and natural. The results of this study confirm that the digital divide problem in the smart environment is influenced by individual characteristics as well as demographic variables. Therefore, we expect the government to set appropriate policies considering the characteristics of individuals.

• Journal of the Korea Society of Computer and Information
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• v.24 no.4
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• pp.65-71
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• 2019

IAs smart device penetration rate is more than 90%, mobile transaction ratio using smart device is increasing. Smart contracts are used in various areas of real life including smart trading. By applying smart contracts to the platform for smart transactions through block-chain technology, the threat of hacking or forgery can be reduced. However, various threats to devices in smart transactions can pose a threat to the use of block chain Etherium, an important element in privilege and personal information management. Smart contract used in block chain Ethereum includes important information or transaction details of users. Therefore, in case of an attack of privilege elevation, it is very likely to exploit transaction details or forge or tamper with personal information inquiry. In this paper, we propose a detection and countermeasure method for privilege escalation attack, which is especially important for block chain for secure smart transaction using block chain Ethereum. When comparing the results of this study with the results of similar applications and researches, we showed about 12~13% improvement in performance and suggested the future countermeasures through packet analysis.

• Journal of the Korea Society of Computer and Information
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• v.22 no.11
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• pp.49-55
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• 2017

Recently, for safety of people, there are proposed so many technologies which detect density of people at the specific place or space. The representative technology for crowd density estimation was using image analysis method from CCTV images. However, this method had a weakness which could not be used and which's accuracy was lower at the dark or smog space. Therefore, in this paper, to solve this problem, we proposed a user density estimation system at closed space using high frequency and smart device. The system send inaudible high frequencies to smart devices and it count the smart devices which detect the high frequencies on the space. We tested real-time user density with the proposed system and ten smart devices to evaluate performance. According to the testing results, we confirmed that the proposed system's accuracy was 95% and it was very useful. Thus, because the proposed system could estimate about user density at specific space exactly, it could be useful technology for safety of people and measurement of space use state at indoor space.

• Journal of Digital Convergence
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• v.11 no.3
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• pp.353-361
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• 2013

In this study, to analyze the factors affecting the purchase of smart device applications, research model based on AHP(Analytic Hierarchy Process) model was employed and derived consumers' priorities of smart device game applications in the framework of contents characteristic factors. Survey was conducted with 10 experts who are involved in the smart game industry. The empirical result showed that the most important purchasing factor was story(0.217). And fame(0.171), graphics(0.134), operability(0.111), information(0.093), difficulty(0.085), speed(0.068), characters(0.053), price(0.042), genre(0.028) are presented in order in terms of the importance. The order of consumers' preferences to smart device game application was RPG, Tycoon, action, simulation, sports/leisure, quiz/puzzle/board, etc. gamble. It suggested that under the environment of smart devices consumers could enjoy not only simple puzzle and board game but also complicated and difficult games such as RPG and tycoon game due to the development of smart devices.

• Journal of the Semiconductor & Display Technology
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• v.14 no.4
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• pp.13-19
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• 2015

In this paper, the principle of devices which can magnify images without distorting the images is described. When the device is put on a smart phones, viewers can see the magnified images. Magnified images can be few 100 times bigger than the original images. Therefore, viewers can see movie theater size images with the device put on a smart phone. Two different schemes are explained in the paper and one realization of the device is presented. The device can be used in many different application areas.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2015.05a
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• pp.170-171
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• 2015

At the present time it continues to be the smart device released has also been commercialization device accessories accordingly. Such accessories are getting great response to consumers in the form of an external device to a character commercialization design. However, these products are not useful in the functional aspects of using the external form of the device is concentrated only. This study documents the management app to give the game character acts on the application category grouping the ability to efficiently manage the smart device. Research method is to study the existing product released to find out how it works come from the smart device management side, The device app management features added to the game play will be produced based on them.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.19 no.11
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• pp.2546-2553
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• 2015

Falling can happen to anyone, anywhere at anytime and especially it is one of the risk factor that can lead causes of death of persons aged 65 and over. Recently, the study of fall detection mechanisms as a smart healthcare service based on the IoT(Internet of Things) are being actively investigated. In this paper, we implement a fall detection system using arduino as a smart sensor communicates with a smart device. When transmitting the information of the acceleration on a sensor smart sensor with a BLE(Bluetooth Low Energy), the smart device processing and analyzing this information. and determines a fall situation. A fall detection system based on the Internet of Things which using smart sensor and smart device, has the advantage of being able to overcome the mobility and portability constraints.

• Architectural research
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• v.18 no.1
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• pp.13-20
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• 2016

Smart Home has achieved remarkable developments over the past few decades. In the ICT(Information and Communications Technology) field, 'app ecosystem'-a collection of multiple devices such as mobile phones and tablets, software (operating system and development tools), companies (manufacturers, carriers, app-stores, etc.) and the process through which data is transferred/shared by a user from one device to another device or by the device itself-has come into wide use since the advent of the smart phone. Due to the synergy effect of the 'app ecosystem', it has been applied to various fields such as televisions and automobile industries. As a result, both the Smart TV and connected vehicle have developed their own ecosystem. Although much research has been conducted on these two ecosystems, there is a lack of research regarding 'App Ecosystem based Smart Home' (AESH). This research focuses on the building scenarios based on 'Tracking, Analyzing, Imaging, Deciding, and Acting (T.A.I.D.A), a future prediction method process. Rather than taking an approach from the perspective of providing and applying advanced technology for research on building future scenarios, this paper focuses on research from the perspective of architectural planning. As a result, two future scenarios of AESH are suggested.

• Proceedings of the Korea Information Processing Society Conference
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• 2013.11a
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• pp.501-504
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• 2013

Smart Device의 성능은 기존 Embedded System과는 비교가 무의미할 만큼 성장하였다. 하지만 실시간으로 외부의 다양한 데이터를 처리하기 위해서는 아직 Smart Device의 자원이 충분하지 않다. 이를 해소하기 위한 방안으로 신호의 처리와 관리는 풍부한 자원을 가진 서버에서 수행하고 스마트 기기는 신호 전달 및 처리 결과 수신의 제한적인 역할을 수행할 수 있는 Cloud System이 필요하며 덧붙여, 시스템을 다양한 계측 분야에서 유연하게 활용하기 위해 여러 종류의 신호들을 다양하게 처리해 줄 수 있는 Cloud Cluster와 이를 관리해줄 Platform의 구축이 이뤄져야한다. 본 연구는 그 중에서도 실시간성을 요하는 모델을 고려하여 Real Time Cloud System Platform의 구축을 위한 기반연구로서, Smart Device와 Senser 간의 Interoperability에 초점을 두고 Proto Type의 구현과 몇몇 세부 쟁점에 대한 실험 및 연구 분석 결과를 포함한다.

• Journal of Korea Game Society
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• v.13 no.4
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• pp.35-46
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• 2013

In this paper, we show a real-time lightning simulation for smart device game. Our proposed method uses physically based Dielectric Breakdown Model to similar real world lightning path and we simplify the algorithm for real-time simulation in smart device. In addition, the rendering process can render multiple lightning and can real-time render in smart device. Finally, our lightning can support interactive with user. The simulation method will be effectively useful for a game that needs a real-time simulation as its game element in smart device environment.