• Journal of Korea Society of Digital Industry and Information Management
• /
• v.8 no.4
• /
• pp.263-272
• /
• 2012

Lately, as domestic smart phone users exceeds 10 millions, Korea entered into real smart era in which smart contents market grows very quickly. One of feature for smart contents market is that there is few entry barrier for market penetration. So, it is essential for domestic digital contents providers to transform existing digital contents into smart contents to protect the entry of foreign firms into domestic market and to take advantage of opportunities to advance to foreign contents markets. The objective of this study is analyzing strategies of abroad companies which has penetrated into smart contents market successfully and classifying them systematically and the way to execute the proposed strategies. Future works of companies and governments to expand smart contents markets can be summarized as follows. First, they must prepare reliable data to elicitate proper market penetration strategies. Second, it is highly desirable to fuse contents industry and culture industry together. Third, it is urgent to formulate policies to promote SOHO contents companies.

• KSII Transactions on Internet and Information Systems (TIIS)
• /
• v.8 no.6
• /
• pp.2152-2170
• /
• 2014

With advances in smart and ICT(information and communication technology) technologies, our life style has been changing dramatically. Now everybody can enjoy the benefits of such technologies in every aspect of his/her daily life. Currently more and more people are trying to have smart devices such as smart phones and tablet PCs so that smart devices become the bare necessities. New smart technologies have created a new concept called smart learning in education area. As educational smart contents become popular, we need quality standards for the contents. Those standards are essential for evaluating the smart contents and suggesting guidance for future smart contents production. Although there are some standards for the existing e-learning environments, to our best knowledge, there are no standards for educational smart contents in the literature. The purpose of this paper is to develop quality standards for educational smart contents. The proposed quality standards are based on the existing quality standards in e-learning environments and include some characteristics of smart learning. For development of quality standards, wide experts group from academy and industry are selected and surveyed. Their responses are analyzed based on thorough statistical analysis so that final quality standards for educational smart contents are developed.

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

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

• International Journal of Contents
• /
• v.7 no.4
• /
• pp.64-69
• /
• 2011

Recently, as smart devices are distributed more and more, the need for education of developing contents based on smart media increases. In order to develop contents based on smart media, it is necessary to learn new programming language as well as to understand the structure of platforms as device-manufacturers and communication companies have different platforms. Generally, the problem in education of programming is that it can provide learning to understand the language stage by stage, but it is difficult to suggest a clear result such as completion of learner's project from macroscopic and integrated approach. Especially, there is a difficult of learning several programming languages due to the characteristics of platforms in developing smart contents. Accordingly, in the education of programming for developing smart contents, it is not appropriate to use the traditional teaching method of programming which conducts projects from an integrated point of view after learning the grammatical elements of the language. This paper aims to suggest the top-down teaching method as an effective teaching method for developing contents based on smart media, and to analyze the effect after developing and applying the suggested teaching model.

• International Journal of Internet, Broadcasting and Communication
• /
• v.16 no.3
• /
• pp.298-304
• /
• 2024

The smart factory promotion project is a project that uses ICT technology to improve the production process and the entire management environment system. In Korea, the smart factory promotion project has been continuously implemented since 2014, and the Smart Factory Promotion Team is supporting it nationally. The smart factory promotion project has shown positive results in some companies even in difficult environments such as the COVID-19 situation. In order for each company to promote the smart factory project, it must receive business approval through an evaluation based on the business plan. In order to receive business approval, it is important that the main contents described in the business plan (introduction (business) goals, qualitative goals, quantitative goals, functional composition diagram, etc.) are described consistently. In this study, we studied the cases of several companies to determine whether the main contents of the companies' business plans were consistent. The main contents to be maintained in consistency were the purpose and necessity of introduction, quantitative goals, qualitative goals, functional composition diagram, and expected effects.

• Journal of Digital Convergence
• /
• v.11 no.10
• /
• pp.123-131
• /
• 2013

This study aims to investigate development directions for smart contents to support enhancing adaptive behavior skills of children with autistic disorder in elementary school. AHP survey of experts including special education teachers and directors in educational institution for disability children was performed to analyze importance weight for smart contents development necessity and effectiveness in adaptive behavior skills. And the smart contents development suitability through pre-discussion for idea generation for various development method and AHP survey with smart application development experts was evaluated. The results show that the effective and suitable adaptive behavior skills for smart contents development were understanding of languaging, time management and keeping, movement skills, wearing clothes, and personal hygiene in order of importance. Based on this study, education authorities should make an effort not to develop fragmentary educational smart contents but to support development of smart contents and service systems with better effectiveness and usability to meet demand for special education teachers and parents considering characteristics of children with autism.

• IEMEK Journal of Embedded Systems and Applications
• /
• v.8 no.1
• /
• pp.11-16
• /
• 2013

With the development and general use of a variety of Android/iOS-based smart phones and smart pads, the existing e-learning contents need to be changed in such a way that they can be carried out on different smart device platforms. This paper shows what changes are needed for that aim, and, in particular, for the compatibility of different platforms by designing and implementing Android/iOS-based smart learning contents in the form of a hybrid app. This paper will hopefully help you consider what elements are required to develop smart-learning contents on a variety of platforms for mobile devices.

• Journal of the Korea Society of Computer and Information
• /
• v.20 no.8
• /
• pp.7-13
• /
• 2015

Recently, there are serviced user customized advertisement of various type using smart device. Representative services are advertisement service using light of smart TV screen or audible sound of smart TV to transmit advertisement information. However, those services have to do a specific action of smart device user for advertisement information or need audible audio information of TV contents. To overcome those weakness, therefore, we propose an advertisement method using inaudible sound of speaker based on smart device. This method supports the transfer of advertising content to the smart device user with no additional action or TV audio signal required to access that content. The proposed method used two high frequencies among 18kHz ~ 22kHz of audible frequency range which smart TV can send out. And it generates those frequencies synthesized with audio of TV contents as trigger signal which can send advertisements to smart device. Next, smart device analysis the trigger signal and request advertisement contents related to the signal to server. After then, smart device can show the downloaded contents to user. Because the proposed method uses the high frequencies of sound signals via the inner speaker of the smart device, its main advantage is that it does not affect the audio signal of TV content. To evaluate the efficacy of the proposed method, we developed an application to implement it and subsequently carried out an advertisement transmission experiment. The success rate of the transmission experiment was approximately 97%. Based on this result, we believe the proposed method will be a useful technique in introducing a customized user advertising service.

• Journal of Korea Society of Industrial Information Systems
• /
• v.18 no.4
• /
• pp.73-79
• /
• 2013

Recently, smart TVs have widely spread in our daily lives. However, it is difficult for users to find proper TV contents among a lot of TV and application contents because of inconvenience of input devices compared with those of smart phones or smart pads, so there are some problems with very low utilization of the smart functionalities of smart TVs. We suggest a personalized contents recommender system on smart TVs to resolve these problems and help for users to search appropriate contents easily and quickly in this research. We design and implement an intelligent system for personalized contents recommendation on the smart TVs based on multi-dimensional analysis considering user profiles and preferences, watching patterns of TV programs, and TV contents use statistics of TV users.