• Journal of Convergence for Information Technology
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• v.10 no.10
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• pp.47-52
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• 2020

The general flatbed printer system is composed of a PC and a dedicated S/W, which is inconvenient to use. In the end, there is a need for a technology that can easily and conveniently use various types of printing through simplification, smartization, etc. of a flatbed printer system configuration. That is, there is an increasing demand for multi-dimensional printer capable of printing on various types of materials with one printer and capable of printing various types of products. Therefore, in this paper, we developed a flatbed printer system capable of multi-dimensional printing using Head Encoder/Trigger control. To this end, we developed a flatbed printer that connects the internal module of the flatbed printer with an input type detection sensor and controls all operating states by the head encoder and head trigger signals of the printer through separate main controllers. Through this, the development and diffusion of IoT technology will expand the printer control of the smart environment to the developed form throughout the industry. It is expected to contribute to the development of the 3D printing industry in the future.

• Journal of the Korea Convergence Society
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• v.9 no.5
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• pp.137-143
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• 2018

The 4th industrial revolution will have brought smart furniture integrated with IT technology and provide a convenient and comfortable environment for our lives. Therefore, this study analyzed the design characteristics of fusion integrated furniture based on changes of the times. In 20th centuries, characteristic of fusion design was based on architectural structure, new material and function. In 21st centuries, smart home furniture and network system was developed based on IT technology. In addition, due to the increase of single-person households and various consumer purchasing patterns, combined functions for small spaces and multi-function furniture was also developed. In conclusion, the trends of convergence design furniture from 20 to 21st century showed that furniture industry has a significant potential for high-tech technology. This study may be a useful information in developing convergence design furniture industry.

• Journal of the Korea Convergence Society
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• v.11 no.1
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• pp.33-39
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• 2020

Specialists have developed pillows that take into account sleep science and ergonomics, such as comfort for lying on your side. This pillow is made of natural latex material, and improved resilience after a certain period of time. A new idea was added to the pillow, which was naturally used for sleep, but could it add additional features for health care. Here, health care targets sleep apnea, which is known to be associated with serious illness. The purpose of this paper is to design a comprehensive service that uses a pressure sensor and a voice sensor to obtain information and to identify abnormal symptoms related to diseases from this information and to refer them to a specialist. It also covers the basic design and implementation to confirm the success of this system. Based on this design, the information obtained will be converted into a DB, and a server system for consultation with a specialist will be completed to upgrade the role of assistive health devices for sleep apnea.

• Smart Media Journal
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• v.4 no.4
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• pp.93-100
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• 2015

Markets of e-book and app book in Korea see novel as genre literature and webtoon account for 80 percents in sales so that market share is too based towards some specific fields. In readiblily and easy-to-buy convenience, different from paper books mostly sold off-line, app books are more advantageous but it works as a weak point to take long to publicly spread them before they are generally accepted. Meanwhile, the sales of the e-book market in Korea has been steeply risen. Further, the market is not only restricted to genre literature but also has come into the stage that various experimental challenges are issued in the field of publication contents. This study is aimed at developing the sightseeing app book as a future web-mobile platform with planning and develping the first app book dealing with localized contents based on Busan tour contents, making up for its defect that it offers only current simple information and then suggesting a strategy that the travelers' app book should be available for constant utilization connected to purchase by charged download.

• Journal of Korea Game Society
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• v.14 no.2
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• pp.45-54
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• 2014

With the spread of game platforms fueled by the development of smartphones, such classic games as and have been transplanted in smartphone and visual media. Which stirred an issue among gamers because classic games were the materials used. However, there is a lot of room for improvement because it developed from a different viewpoint from the experiences of gamers in many cases. Based on the judgment that the reasons why the experiences of gamers were not reproduced in visual media lay in intertextuality between games and visual media, this study analyzed "Pixels" as a case of good intertexts. The analysis results of intertextuality in the game show that it applied quotation, summary, mending, and satirical travesty to the elements only known to gamers in addition to a simple arrangement of representations and parody, thus succeeding in reproducing the experiences of gamers. It also took into account popular appeal with a fresh direction not familiar to non-gamers.

• Smart Media Journal
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• v.10 no.3
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• pp.60-67
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• 2021

This study attempted to examine the effects of SW education using EPL and coding robots on computing thinking and problem-solving skills among various teaching and learning methods of software education. To this end, a survey was conducted on 350 students from middle schools A and B in Gwangju and Jeollanam-do, and the difference in mean was analyzed through t-verification and one-way analysis of variance in order to investigate the relationship between variables. Based on the research results obtained through this, we will identify the effects, strengths, and weaknesses of SW education using EPL and coding robots, provide basic data and information for efficient teaching and learning methods of SW education, and further suggest better directions in terms of academic and practical aspects.

• Smart Media Journal
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• v.9 no.4
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• pp.162-169
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• 2020

Design is a key factor that determines the competitiveness of products in the textile and fashion industry. It is very important to measure the similarity of the proposed design in order to prevent unauthorized copying and to confirm the originality. In this study, a deep learning technique was used to quantify features from images of textile designs, and similarity was measured using Spearman correlation coefficients. To verify that similar samples were actually detected, 300 images were randomly rotated and color changed. The results of Top-3 and Top-5 in the order of similarity value were measured to see if samples that rotated or changed color were detected. As a result, the VGG-16 model recorded significantly higher performance than did AlexNet. The performance of the VGG-16 model was the highest at 64% and 73.67% in the Top-3 and Top-5, where similarity results were high in the case of the rotated image. appear. In the case of color change, the highest in Top-3 and Top-5 at 86.33% and 90%, respectively.

• Journal of Powder Materials
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• v.29 no.2
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• pp.159-165
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• 2022

Rare earth elements, which are important components of motors, are in high demand and thus constantly get more expensive. This tendency is driven by the growth of the electric vehicle market, as well as environmental issues associated with rare-earth metal manufacturing. TC 298 of the ISO manages standardization in the areas of rare-earth recycling, measurement, and sustainability. Korea, a resource-poor country, is working on international standardization projects that focus on recycling and encouraging the domestic adoption of international standards. ITU-T has previously issued recommendations regarding the recycling of rare-earth metals from e-waste. ISO TC 298 expands on the previous recommendations and standards for promoting the recycling industry. Recycling-related rare earth standards and drafts covered by ISO TC 298, as well as Korea's strategies, are reviewed and discussed in this article.

• Applied Chemistry for Engineering
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• v.34 no.4
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• pp.347-356
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• 2023

Liquid crystal elastomer (LCE) fibers have been widely applied in various fields, such as soft robots and biomimetic actuators, in a one-dimensional form. LCEs possess the characteristics of both fluidity and solid order, as well as the elasticity of rubber, and exhibit stimulus-response based on these properties. In particular, by programming the responsiveness to various stimuli such as heat, light, electric fields, and magnetic fields in terms of shape-changing, various movements such as lifting, twisting, and rotating can be realized with high degrees of freedom. Therefore, LCE fibers have the potential for application in various fields such as artificial muscles, soft robots, wearable technologies, and sensing technologies. The research on liquid crystal elastomer fibers is evaluated to have high applicability in various fields in the Fourth Industrial Revolution as a smart material that can include various functionalities beyond simple fibers. In this review, we introduce the structure and basic characteristics of liquid crystal elastomer fibers, the latest research trends on orientation-based fabrication methods, and various applications such as artificial muscles, smart fabrics, and soft robots.

• Smart Media Journal
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• v.11 no.11
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• pp.92-98
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• 2022

Identifying defects in textiles is a key procedure for quality control. This study attempted to create a model that detects defects by analyzing the images of the fabrics. The models used in the study were deep learning-based VGGNet and ResNet, and the defect detection performance of the two models was compared and evaluated. The accuracy of the VGGNet and the ResNet model was 0.859 and 0.893, respectively, which showed the higher accuracy of the ResNet. In addition, the region of attention of the model was derived by using the Grad-CAM algorithm, an eXplainable Artificial Intelligence (XAI) technique, to find out the location of the region that the deep learning model recognized as a defect in the fabric image. As a result, it was confirmed that the region recognized by the deep learning model as a defect in the fabric was actually defective even with the naked eyes. The results of this study are expected to reduce the time and cost incurred in the fabric production process by utilizing deep learning-based artificial intelligence in the defect detection of the textile industry.