• Journal of Information Technology Applications and Management
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• v.26 no.2
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• pp.13-26
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• 2019

The purpose of this study is to examine the effect of each of the two technology acceptance factors(employees' attitude toward smart factory technology, and ease of smart factory technology use) on the introduction level of each of the three smart factory technologies (manufacturing big data technology, automation technology, and supply chain integration technology), and in turn, the effect of each of the three smart factory technologies on manufacturing performance. This study employed PLS statistics software package to empirically validate a structural equation model with survey data from 100 domestic small-and medium-sized manufacturing firms (SMMFs). The analysis results revealed the followings. First, it is founded that employees' attitude toward smart factory technology influenced all of the three smart factory technology introduction levels in a positive manner. In particular, SMMFs of which employees had more favorable attitude toward smart factory technology tended to increase introduction levels of both automation technology and supply chain integration technology more than in the case of manufacturing big data technology. Second, ease of smart factory technology use also had a positive impact on each of the three smart factory technology introduction levels, respectively. A noteworthy finding is this : SMMFs which perceived smart factory technology as easier to use would like to elevate the introduction level of manufacturing big data technology more than in the cases of either automation technology or supply chain integration technology. Third, smart factory technologies such as automation technology and supply chain integration technology had affirmative impacts on manufacturing performance of SMMFs. These results shed some valuable insights on the introduction of smart factory technology : The success of smart factory heavily depends on organization-and people-related factors such as employees' attitude toward smart factory technology and employees' perceived ease of smart factory technology use.

• Journal of Smart Tourism
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• v.2 no.1
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• pp.5-19
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• 2022

Smart tourism is seen as a revolution in the tourism industry, involving innovative and transformative theoretical-practical approaches for the sector. As a result of its application in the tourist context, benefits can be seen such as more sustainable practices, greater mobility and better accessibility in destinations, evolution of processes and experiences of tourists. Much of this is achieved through the support of technological solutions. However, despite the immense expectations, and the many researches carried out on it, a literature summary regarding the dimensions that can be observed in each application of this smart tourism has not yet been proposed. Therefore, supported by the PRISMA recommendation, this research proposed to carry out an integrative review of the literature on smart tourism (in its different levels of application, such as the city, the destination and the smart tourism region), with the objective of mapping the dimensions that underlie it. Thus, from an initial scope of 833 intellectual productions obtained, inputs were found for the dimensions in 363 of them after a thorough analysis. The compilation of data obtained from these productions supported the proposition of 14 operational dimensions of smart tourism, namely: collaboration, technology, sustainability, experience, accessibility, knowledge management, innovation management, human capital, marketing, customized services, transparency, safety, governance and mobility. With this set of dimensions, it is envisaged that the implementation of smart tourism projects can present more comprehensive and assertive results. In addition, shortcomings and opportunities for new research that support the evolution of the theory and practice of smart tourism are highlighted.

• Journal of Smart Tourism
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• v.2 no.4
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• pp.1-3
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• 2022

• Journal of Internet Computing and Services
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• v.14 no.6
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• pp.59-70
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• 2013

With advances in information and communication technologies, many innovative technologies have been developed. Those technologies are changing every aspect of our daily life. Especially smart technologies are changing our life dramatically. Smart devices such as tablet PCs and smart phones are used in education so that new concept called "smart learning" is created and used. Currently smart learning becomes popular in accordance with wide distribution of smart devices and smart contents in schools. In order to compare and check the current status and progress of individuals in smart environment, we need smart literacy standards. However, there has been only few works for smart literacy standards for teachers and students. Also, those standards need to be improved. The purpose of this paper is to develop smart literacy standards for teachers and students in smart learning environment. The proposed literacy standards are developed based on the existing ICT literacy standards. In this work, smart literacy standards consist of four main areas, smart education, smart knowledge, smart application, and smart ethics, respectively. For development of smart literacy, wide experts from teachers, professors, and researchers are selected and surveyed. Their responses are analyzed using through statistical analysis so that final smart literacy standards are obtained.

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

• Fashion & Textile Research Journal
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• v.8 no.4
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• pp.420-426
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• 2006

Korean prior studies on smart clothing seeking complete mixture of clothing and computer with diverse functions in the ubiquitous environment were so mere, while there have been aggressive activities to develop diverse smart clothing products led by the relevant industries and universities in foreign countries. Given prospective growth of the smart clothing market, there should be customers' evaluation of functions and utility of and sensitivity to smart clothing as well. This study conducted a questionnaire to Korean customers in their twenties regarding their perception and liking of and willingness to use smart clothing, and examined the needs of new functions of smart clothing. As a result, the customers in their twenties turned out to like well-designed and comfortable clothing, and be exposed to diverse and continuous computing environment. Also, they have relatively low perception but considerably high liking of smart clothing, indicating their high willingness to use smart clothing products. They cited 'selectable functions' and 'mobile and convenient ' as merits, and 'too expensive' and 'easy to wash' as demerits of smart clothing. In the respect, they proposed many interesting smart clothing ideas, such as 'clothing with automatic temperature-sensing function, which gets higher heat- insulating function by tightening the textile structure in winter and higher ventilating function by loosening the textile structure in summer.' We hope the results of this study will serve basic data for development of more efficient smart clothing in the future.

• Journal of Information Technology Services
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• v.19 no.3
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• pp.139-149
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• 2020

There are now many different commercial weather sensors suitable for smart farms, and various smart farm devices are being developed and distributed by companies participating in the government-led smart farm expansion project. However, most do not comply with standard specifications and are therefore limited to use in smart farms. This paper proposed the connecting structure of operating non-standard node devices in smart farms following standard specifications supporting smart greenhouse. This connecting structure was proposed as both a virtual node module method and a virtual node wrapper method. In addition, the SoftFarm2.0 system was experimentally operated to analyze the performance of the implementation of the two methods. SoftFarm2.0 system complies with the standard specifications and supports non-standard smart farm devices. According to the analysis results, both methods do not significantly affect performance in the operation of the smart farm. Therefore, it would be good to select and implement the method suitable for each non-standard smart farm device considering environmental constraints such as power, space, distance of communication between the gateway and the node of the smart farm, and software openness. This will greatly contribute to the spread of smart farms by maximizing deployment cost savings.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.37B no.9
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• pp.831-836
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• 2012

To provide convenient life, we consider the situation of using the smart phone to control smart TV and PC in home and office. In this paper, we design the interworking platform between smart TV, smart phone and PC, and implement their applications. Our smart phone application controls the smart TV and PC, where our smart TV application communicates with the smart phone and PC can be booted by the login and password information given form our smart phone application. We hope that our platform design and application implementation will be contributed to be a foundation of interworking between various smart devices in the near-future real smart life.

• International Journal of Advanced Culture Technology
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• v.5 no.2
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• pp.44-53
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• 2017

The purpose of this study was to investigate the relationship between self-identity and smart phone addiction among University students. This study used descriptive cross sectional study to analyze the relationship between self-identity and smart phone addiction. Study participants included 357 University students located in C province who selected through volunteered, but 10 missing data were excluded and finally 347 participants completed the study. The study data were collected using self-identity tool made by Park A chung in 1996 which was composed of Independence, Proprioception, Future conviction, Goal orientation, Initiate, and Intimacy and Smart phone addiction tool made by National information society agency. The self-identity's Cronbach's alpha was .937 and Smart phone was .670. All data analyses were performed using SPSS 18.0. Results showed that most students were not addicted(97.1%) in Smart phone using and middle level(73.2%) of self identity. Also, there was a difference in self - identity level according to gender and grade(the ratio of smart phone general users, not at all addicted, was 90.79% for males and 98.53% for females), and there was difference in Smart phone addiction level according to gender and residence type(the ratio of Smart phone general users, not at all addicted, is 99.32% for commute, 97.04% for dormitory, and 89.66% for self governing). Also there were strongly related with self-identity and Smart phone addiction(p < .001). This results reveled that self-identity affect to Smart phone addiction, therefore it is important to raise self-identity to prevent Smart phone addiction for University students.

• Transactions of the Korean Society of Machine Tool Engineers
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• v.15 no.2
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• pp.99-106
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• 2006

In this paper, the new method that estimates a sensing ability of smart sensor will be proposed. A study is estimation method that evaluates sensing ability about smart sensor respectively. According to acceleration(g) and displacement changing, we estimated sensing ability of smart sensor using SAI(Sensing Ability Index) method respectively. Smart sensors was made fer experiment. The types of smart sensor are two types(hard and soft smart sensor). Smart sensors developed for recognition of material. Experiment and analysis are executed for estimate the SAI method. In develop a smart sensor, the SAI method will be useful for finding optical design condition of smart sensor that can sense a material. And then dynamic characteristics of smart sensors(frequency changing, acceleration changing, critical point, etc.) are evaluated respectively through new method(SAI) that use the power spectrum density. Dynamic characteristic of sensor is evaluated with SAI method relatively. We can use the SAI for finding critical point of smart sensor, too.