• Journal of Digital Contents Society
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• v.7 no.1
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• pp.25-33
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• 2006

As becoming the age of ubiquitous, there are many discussion and publication for standards to express platform profile. These various platform profiles have some problems. The solve these problems, we propose and develop a new posting mechanism which improve the performance of contents adaptation engine by simplifying platform profile and processing various type of platform profiles; we introduce the way to integrate different profiles to solve nut to recognize the profile which is used by different adaptation system and simplify platform profile by grouping the similar attributes of platform profiles. Proposed system can processing different profiles and also the system overhead to processing a profile and creating a dynamic profile has reduced. As a result overall performance of content adaptation system has increased.

• Journal of Korea Multimedia Society
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• v.14 no.4
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• pp.577-584
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• 2011

Since korean mobile communication companies each use different mobile platforms, developers must configure and translate their game contents to run under each of the smart phone platforms so that they can be serviced correctly. Nevertheless, such translation tasks require lengthy times and costs. This is one of the reasons why a variety of contents could not be provided. In order to mitigate such difficulty, this paper implemented the mobile contents converter system that converts mobile game contents of the GNEX platform to smart phone contents of the iPhone platform(iOS). The GNEX-to-iPhone automatic mobile contents translation system helps minimize the amount of time and cost required in servicing contents to different mobile communication companies by promptly translating platform-specific-contents to run under iPhone smart phone platforms. Also, the automatic translation and servicing of existing contents increases the reusability of these contents and also the productivity of new contents thereby offering users with a more variety of games.

• International Journal of Computer Science & Network Security
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• v.21 no.6
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• pp.275-285
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• 2021

Ministries of Education are integrating different Learning Management Systems (LMS) to enhance teaching and learning during the lockdown to avoid academic loss. The key factor for delivering a high-quality education through LMS platforms is teachers' acceptance and adoption of the platform. Madrasati platform (which means My school) was introduced by Saudi Arabian Ministry of education as the formal teaching and learning for distance education for public education levels. This study aims to examine the effectiveness, usability and adoption of "Madrasati" platform from teachers' perspectives in Saudi Arabia. "SUS, CSUQ" tests were used to test the usability of the new platform. Using quantitative research design, data were collected using questionnaire. 200 teachers were selected randomly answered the survey. Data was analysed descriptively and inferentially using SPSS (25). The results obtained indicate that the teachers are highly satisfied using Madrasati platform and technically it is well designed. Also, Madrasati has positive effect on teaching quality. Moreover, Madrasati has high usability in teaching. One of the key findings were that the quality of the information content in Madrasati has a strong effect on teachers' perception of the Madrasati usefulness that led to a positive attitude towards Madrasati. These findings would be useful to the ministry of education and institutions trying to integrate technology in their teaching and learning processes. Thus, this paper contributes towards more effective utilisation of the extensive functionalities that Madrasati have to offer, which will contribute toward the development of pedagogy in Saudi Arabia.

• Journal of Platform Technology
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• v.10 no.1
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• pp.29-34
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• 2022

The emergence of new diseases such as the Covid 19 pandemic that occurs in the 21st century and the occurrence of health abnormalities according to the busy daily life of modern people are increasing. Accordingly, the importance of health care management and data-based health management is being highlighted, and in particular, interest in personal health management data based on personal health care data of patients is rapidly increasing. In this study, to solve the difficult problems of personal health management, we developed a personal health care platform incorporating IT for self-diagnosis and solution and developed an application that measures bio-signals generated in the human body and transmits them to the platform. A health management system was established. Through this, not only the health care of modern people, but also the psychological and emotional care support needs through psychological and emotional monitoring of the developmentally disabled and the vulnerable who have difficulty in expressing their opinions are to be addressed. In addition, the overall health and living environment data of the individual was integrated to develop an optimized medical and health management service for the individual.

• Journal of Platform Technology
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• v.11 no.1
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• pp.11-22
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• 2023

Various video conferencing and collaboration applications have emerged due to the global epidemic of new viral infections. In addition to real-time video conferencing, video conferencing applications provide features such as chat and file sharing on various platforms. Because various personal information is stored through functions such as chatting, file and screen sharing, these video conferencing applications are the major target of analysis from a digital forensic investigation. In the case of applications that provide cross-platform, the form of stored data is different depending on the platform. Therefore, to utilize data of video conferencing application for forensic investigation, preliminary research on artifacts stored by platform is required. In this paper, we used the video conferencing applications GoToWebinar and GoToMeeting and analyzed the artifacts generated. As a result, we list the main data from a digital forensic investigation. We identify data stored for each platform provided by GoToWebinar and GoToMeeting and organize artifacts that can estimate user behavior. Also, we classify the data that can be acquired according to the role and environment within the video conference.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2021.10a
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• pp.6-8
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• 2021

Recently, the Internet of Things technologies are continuously advanced, and IoT devices are being used in various domain. IoT platforms should not only collect and manage data by connecting to various devices, but also monitor and control them. However, conventional IoT platforms have different data types and protocols, and have the problem of not monitoring or controlling cross-platform devices. This research proposes an ontology-based IoT platform to resolve this problem. Therefore, this research analyzes the types and characteristics of conventional IoT platforms, and this paper proposes a new platform architecture based on the analysis. The proposed platform is expected to flexible data management and improvement of interoperability between other platforms by utilizing ontology technology.

• Journal of KIISE:Computer Systems and Theory
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• v.35 no.5
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• pp.231-236
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• 2008

This paper proposes a cost-efficient and flexible FPGA-based logic circuit emulation platform. By improving the performance and adding more features, this new platform is an enhanced version of our LAPG. It consists of an FPGA-based hardware engine and software element to drive the emulation and monitor the results. It also provides an interactive verification environment which uses an efficient communication protocol through a bi-directional serial link between the host and the FPGA board. The experimental results show that this new approach saves $55%{\sim}99%$ of communication overhead compared with other methods. According to the test results, the new LAPG is more area efficient in complex circuits with many I/O ports.

• The KIPS Transactions:PartA
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• v.10A no.4
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• pp.411-418
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• 2003

After the general and multi-function PC age is gone, A new type of computing devices is developing. The need of consumer increases a new device with very necessary function instead of all-mighty functional PC. The operating system of this works is linux because of open source licensing and a strong developer community. The Post PC industry represents and environment that will foster dramatic growth and new development. The adoption of embedded linux in this market will not be driven by simple replacement of expensive proprietary operating systems. In this paper we describe the practical design and implementation project of Post-PC Platform. We illustrate "the development of digital consumer Post-PC platform technology," focus the fourth project, and describe the development works of this project.s project.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.22 no.5
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• pp.139-146
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• 2022

Recently, solving industrial and social problems and creating new values based on big data and AI is being discussed as the main policy goal. The new government also set the digital platform government as a national task in order to achieve new value creation based on big data and AI. However, studies that summarize and diagnose discussions over the past five years are insufficient. Therefore, this study diagnoses the discussions over the past 5 years using the 4th industrial revolution as a keyword. After collecting news editorials from 2017 to 2022 by applying the text mining technique, 9 major topics were discovered. In conclusion, this study provided implications for the government's task to prepare for the future society.

• Fashion & Textile Research Journal
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• v.24 no.5
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• pp.577-592
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• 2022

This study aims to confirm which factors related to technology acceptance affect generation MZ's use of luxury fashion platforms. For this purpose, Internet self-efficacy and technology readiness were added as new exogenous and moderating variables using extended UTAUT. Then, performance expectancy, effort expectancy, social influence, and facilitating condition as a factor of UTAUT were set as mediating factors. Response data were collected through questionnaires for generation MZ with experience in using luxury fashion platforms, and a factor analysis, reliability analysis, correlation analysis, and path analysis were conducted using the SPSS and AMOS statistical programs. According to the results, the Internet self-efficacy of generation MZ significantly affected on performance expectancy, effort expectancy, social influence, and facilitating conditions on the luxury fashion platform. Moreover, performance expectancy and social influence had a significant effect on the use intention of luxury fashion platforms, but effort expectancy and facilitating condition did not have a significant effect on use intention and use behavior. Additionally, as the moderating effect of technology readiness affects only the relationship between social influence and behavioral intention, it was confirmed that social influence is an important variable with the characteristics of MZ consumers. Therefore, it is deemed necessary to recognize the importance of social influence when trying to use new technologies targeting generation MZ in the fashion industry.