• The Journal of the Convergence on Culture Technology
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• v.7 no.3
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• pp.469-474
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• 2021

Nowadays, a lot of software engineers struggle with the efficient back-end design of mobile application programs operated on the new mobile platform. It is simply because not only their lack of experiences in developing large scale system but also the unstructured nature of the mobile software, where there are no standard solutions. Furthermore, since big data is at the center of many challenges in system design of mobile software, so an efficient system design scheme is required for the development of such data-intensive applications. In this paper, we propose a systematic and efficient system design method that can figure out the substantial nature of the mobile software and solve the difficulties of the back-end software engineers.

• KIPS Transactions on Computer and Communication Systems
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• v.6 no.11
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• pp.463-468
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• 2017

To sense a wide area with mobile nodes, the uniformity of node deployment is a very important issue. In this paper, we consider the coverage problem to sense big data in sparse mobile ad hoc networks. In most existing works on the coverage problem, it has been assumed that the number of nodes is large enough to cover the area in the network. However, the coverage problem in sparse mobile ad hoc networks differs in the sense that a long-distance between nodes should be formed to avoid the overlapping coverage areas. We formulate the sensor coverage problem in sparse mobile ad hoc networks and provide the solution to the problem by a self-organized approach without a central authority. The experimental results show that our approach is more efficient than the existing ones, subject to both of coverage areas and energy consumption.

• Smart Media Journal
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• v.8 no.1
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• pp.9-18
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• 2019

In the era of the 4th industrial revolution, the big data industry is gathering attention for new business models in the public and private sectors by utilizing various information collected through the internet and mobile. However, although the big data integration and analysis are performed with de-identification techniques, there is still a risk that personal privacy can be exposed. Recently, there are many studies to invent effective methods to maintain the value of data without disclosing personal information. In this paper, a personal information protection system is investigated to boost big data utilization in industrial sectors, such as healthcare and agriculture. The criteria for evaluating the de-identification adequacy of personal information and the protection scope of personal information should be differently applied for each industry. In the field of personal sensitive information-oriented healthcare sector, the minimum value of k-anonymity should be set to 5 or more, which is the average value of other industrial sectors. In agricultural sector, it suggests the inclusion of companion dogs or farmland information as sensitive information. Also, it is desirable to apply the demonstration steps to each region-specific industry.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2011.10a
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• pp.765-768
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• 2011

At present, the smart mobile device has been big recognition in general due to fusion, mobility and convenience. On the one hand Industy also needs smart mobile device because more and complex data processing. Hereupon this thesis will study reflected industry needs smart mobile pad's design structure, and applicable area to use this device.

• Journal of Information Technology Applications and Management
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• v.26 no.3
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• pp.121-134
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• 2019

The Fourth Industrial Revolution has differentiated technologies such as artificial intelligence, IoT(Internet of things), big data, and mobile. As the civilization develops more and more, humanity enjoy the cultural activities more than economic activity for the food and shelter. The platform structure based on the advanced information technology of the present will expand the cultural contents area in a variety of ways. Cultural contents respond sensitively to changes in consumer and will be useful experiences of human activities. Therefore, it should be noted again that the contents industry should not be limited to the discussion of the application of the fourth technology, but should be produced with emphasis on useful experiences of human being. In other words, the discussion of human activities around cultural contents should be focused on how to apply beyond the use of fourth industrial technology. Therefore, it is necessary to analyze the basis of the successful storytelling of the planning stage to connect the fourth industrial technology and human useful experience as a method for developing cultural contents, and to build and propose a model as a strategic method. This study analyzes domestic and foreign cases made by using big data among the visual contents which show continuous increase of consumption among culture industry field, and draws success factors and limit points. Next, we extract what is the successful matching factor that influenced consumer 's consciousness, and find out that the structure of culture prototype has been applied in the long history of mankind, and presents it as a storytelling model. Through the above research, this study aims to present a new interpretation and creative activity of cultural contents by presenting a storytelling model as a methodology for connecting creative knowledge, away from the general interpretation of social phenomenon applied with big data.

• KSCE Journal of Civil and Environmental Engineering Research
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• v.38 no.3
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• pp.457-465
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• 2018

This study proposes a novel approach to explore a "travel time budget (TTB)" using a mobile phone signaling data (MPSD), which are passively generated between a mobile phone and a base station. The data analyzied in this study were provided from KT for 8 days (from May 19 to 26 in 2016). They were about 45 million signals passively generated from users whose stay area during night was classified as three areas in Mapo-gu, Seoul and in the city of Sejong. The estmation of TTB was implemented with various pre-processing techniques on the MPSD data in a data-driven analysis. As a result, the TTBs of Mapo-gu, Seoul and Sejong were 82.94 and 80.70 minutes, respectively. The results in this study were also compared with those based on the traditional methods. The authors expect that this result will help transport experts improve the use of MPSD.

• Journal of the Korea Society of Computer and Information
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• v.23 no.6
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• pp.59-66
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• 2018

Recently, the use of mobile payment, called "Pay" payment, is increasing such as 'KakaoPay' and 'SamsungPay'. In Korea, various mobile payment services are running and emerging. The purpose of this study is to examine the intention to switch from using existing credit cards or check card to mobile payment service based on the two-factor theory. We empirically examined the effect of the two factors, the factors that enable switching and the factors that inhibit switching. Therefore, the study use switching cost and switching benefit as parameters to confirm the effect on the switching intention. In addition, this study intends to analyze the differences between two subgroups by the degree of personal innovativeness. We survey smartphone users and credit card or check card users, and analyzed the Smart PLS 3.0 using structural equation model to verify the significance of the research hypothesis.

• Asian Journal of Innovation and Policy
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• v.7 no.2
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• pp.338-363
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• 2018

Mobile marketing is a brand new phenomenon. In Malaysia, marketeers do not seem to understand well enough the perceptions of consumers according to mobile marketing, especially to the mobile service users. This study analyses and evaluates any significant relationship between consumer perceptions and intentions with respect to mobile marketing, and seeks to determine the expectations, preferences, pattern and usage of the consumers of Mobile Marketing Product and Service (MMP&S). The data was obtained by convenience sampling in the big cities of Malaysia. A total of 500 questionnaires were distributed and a sample of 112 usable questionnaires was selected. The result of this research applying the Technology Acceptance Model (TAM) point to the fact that perceived usefulness, perceived ease of use, perceived innovative, social influence have a direct positive relationship with the intention to use mobile marketing. This, in turn, can shed light on the main factors determining consumer intentions to use mobile marketing that may control consumer adoption of mobile marketing.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.19 no.6
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• pp.203-212
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• 2019

Along with the recent fourth industrial revolution, the world's manufacturing powerhouses are pushing for national strategies to revive the sluggish manufacturing industry. Moon Jae-in, the government is in accordance with the trend, called 'advancement of science and technology is leading the fourth round of the Industrial Revolution' strategy. Intelligent information technology such as IoT, Cloud, Big Data, Mobile, and AI, which are key technologies that lead the fourth industrial revolution, is promoting the emergence of new industries such as robots and 3D printing and the smarting of existing major manufacturing industries. Advances in technologies such as smart factories have enabled IoT-based sensing technology to measure various data that could not be collected before, and data generated by each process has also exploded. Thus, this paper uses data generators to generate virtual data that can occur in smart factories, and uses them to analyze the cause of the defect in real time and to predict the replacement cycle of the facility.

• Journal of Digital Convergence
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• v.13 no.8
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• pp.331-336
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• 2015

Lately, the development and utilization of technology of the Internet of Things(IoT), and Fintech have been on the rise and amid the emerging convergence of system and service, mobile payment system and location based service technology have received much attention. Considering the fact that smartphone users are currently utilizing mobile payment frequently, many corporations are introducing various methods to the market for easy payment process of consumers by grafting various technologies, and by utilizing the technology based on BLE technology and location based technology, it is emerging as new method applied to payment service such as ZEP, for easy payment process. And by checking the existence of security threats and studying the attack techniques in these payment services, we strive to suggest a method of response based on big data platform.