• Journal of Information Processing Systems
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• v.16 no.2
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• pp.460-477
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• 2020

As one of the most significant challenges in the virtual data center, the virtual data center embedding has attracted extensive attention from researchers. The existing research works mainly focus on how to design algorithms to increase operating revenue. However, they ignore the energy consumption issue of the physical data center in virtual data center embedding. In this paper, we focus on studying the energy-aware virtual data center embedding problem. Specifically, we first propose an energy consumption model. It includes the energy consumption models of the virtual machine node and the virtual switch node, aiming to quantitatively measure the energy consumption in virtual data center embedding. Based on such a model, we propose two algorithms regarding virtual data center embedding: one is heuristic, and the other is based on particle swarm optimization. The second algorithm provides a better solution to virtual data center embedding by leveraging the evolution process of particle swarm optimization. Finally, experiment results show that our proposed algorithms can effectively save energy while guaranteeing the embedding success rate.

• Journal of the Korean Society for Library and Information Science
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• v.54 no.3
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• pp.285-314
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• 2020

The healthcare environment is becoming increasingly dependent on health information technology (HIT), with healthcare providers, patients, and other people engaged in the field producing and sharing information to improve healthcare delivery. This focus has raised the issue of Health Information Infrastructure (HII) to the forefront of policy, design, and law. While several studies have examined each element of HII, little attention has been paid to the overall infrastructure as a collection of technologies, institutions, standards, and practices. In order to fill the gap, this study focuses on medication reconciliation as an example of the wider phenomenon of HII. In particular, the study examines a medication reconciliation process (MRP) as an example to understand the key challenges facing the development of HII, how the challenges are interrelated, and how they can be met as a whole. Following a mixed methodology, involving workflow study, focus group discussions, and in-depth interviews, the study examines "data friction" along technical, institutional, regulatory, and legal dimensions. This study constitutes one of the first efforts to comprehensively investigate health information infrastructure and how technology and other dimensions in infrastructure are interrelated. The study therefore contributes to a better understanding of HII and the practical challenges that hinder the seamless flow of information in the healthcare environment.

• IEMEK Journal of Embedded Systems and Applications
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• v.19 no.2
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• pp.83-90
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• 2024

CNC tools contribute to the production of high-precision and consistent results. However, employing damaged CNC tools or utilizing compromised numerical control can lead to significant issues, including equipment damage, overheating, and system-wide errors. Typically, the assessment of external damage to CNC tools involves capturing a single viewpoint through a camera to evaluate tool wear. This study aims to enhance existing methods by using only a single manually focused Microscope camera to enable comprehensive external analysis from multiple perspectives. Applying the NeRF (Neural Radiance Fields) algorithm to images captured with a single manual focus microscope camera, we construct a 3D rendering system. Through this system, it is possible to generate scenes of areas that cannot be captured even with a fixed camera setup, thereby assisting in the analysis of exterior features. However, the NeRF model requires considerable training time, ranging from several hours to over two days. To overcome these limitations of NeRF, various subsequent models have been developed. Therefore, this study aims to compare and apply the performance of Instant NGP, Mip-NeRF, and DS-NeRF, which have garnered attention following NeRF.

• Journal of the Korean Society of Clothing and Textiles
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• v.38 no.4
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• pp.482-494
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• 2014

This study researched TV makeup types with a focus on Korean aesthetics. First, natural beauty is expressed with a random form that excluded artificial techniques or decorations often shown in the form of incompletion and space through TV entertainment programs. Incompletion is what excludes artificial technique and denies the whole completion in expressing a face, it shows the intentional incompletion that leaves it as a bare face that has no type, no color, and no decoration. A pursuit for purity, as nature leads to realizing the internal world of concentrating on the essence of object. Space is what makes it empty without filling, it offers a mental space in the inner side so that diverse images can be imagined beyond external form. This trend is indicated similarly to the tendency that the recent global interest in naturalism yearns for purity in nature and wellbeing. The presentation of skin (preferably healthy looking skin) is given attention; consequently, the similarity was being shown between the TV makeup that focuses on expressing skin and recent trends.

• International Journal of Contents
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• v.7 no.2
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• pp.17-25
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• 2011

Technophobia is described as the 'abnormal fear or anxiety about the effects of advanced technology', affecting one third of the population, causing health problems and the inability to work efficiently. The development of the mobile phone, both in its design process and its following socioeconomic success, has a prominent effect on our society in general; this point will be explicated in this paper. The negative effects of these developments have also been assessed with questionnaire-based interviews, focus groups and media analysis in order to focus on those who are most susceptible to the effects of technophobia, to discover the possible causes and to develop a solution for overcoming the phobia. The findings of the literature review and empirical research have been debated; the results proved inconclusive. All age and sex and groups displayed levels of anxiety around technology. Therefore, designers cannot afford to abandon these individuals in the future, and attention should be directed into inclusive product design. Therefore, various solutions have been suggested for support for these sufferers, such as tuition and bespoke, 'built to specification' mobile phones.

• Cross-Cultural Studies
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• v.36
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• pp.241-270
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• 2014

The aim of this article is to review the traditional methodologies of teaching translation that concentrate on text-typologies and, as an alternative, to propose an eclectic multi-componential approach that involves a set of interdisciplinary skills with a view to improving the trainee translators' competences and skills. To this end, three approaches, namely a minimalist approach, a pre-transferring adjustment approach and a revision vs. editing approach are proposed to shift the focus of attention from teacher-centred approaches towards student-centred approaches. It has been shown that translator training programmes need to focus on improving the trainee translators' competences and skills, such as training them how to produce and select among the different versions they produce by themselves with justified confidence as quickly as they can (minimalist approach), adjust the original text semantically, syntactically and/or textually in a way that the source text supplely accommodates itself in the linguistic system of the target language (pre-transferring adjustment), and revise and edit others' translations. As the validity of the approach proposed relies partially on instructors' competences and skills in teaching translation, universities, particularly in the Arab world, need to invest in recruiting expert practitioners instead of depending mainly on bilingual teachers to teach translation.

• Smart Media Journal
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• v.10 no.1
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• pp.79-87
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• 2021

In recent years research on automatic font generation with machine learning mainly focus on using transformation-based methods, in comparison, generative model-based methods of font generation have received less attention. Transformation-based methods learn a mapping of the transformations from an existing input to a target. This makes them ambiguous because in some cases a single input reference may correspond to multiple possible outputs. In this work, we focus on font generation using the generative model-based methods which learn the buildup of the characters from noise-to-image. We propose a novel way to train a conditional generative deep neural model so that we can achieve font style control on the generated font images. Our research demonstrates how to generate new font images conditioned on both character class labels and character style labels when using the generative model-based methods. We achieve this by introducing a modified generator network which is given inputs noise, character class, and style, which help us to calculate losses separately for the character class labels and character style labels. We show that adding the character style vector on top of the character class vector separately gives the model rich information about the font and enables us to explicitly specify not only the character class but also the character style that we want the model to generate.

• 한국정보교육학회:학술대회논문집
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• 2021.08a
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• pp.175-179
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• 2021

Computer Science Unplugged activities are activities to learn about computer science through learning tools other than programming programs. Existing unplugged activities focus on the procedural thinking process and focus on guiding the thinking process through play. There is a lack of research on unsupervised learning, which plays an important role in machine learning, which has recently attracted attention. In this study, we designed and conducted an unplugged activities for unsupervised learning that analyzes data using video media familiar to elementary school students. The results on the effectiveness of the class were analyzed using the bebras challenge. As a result of analyzing the scores of the pre-test and post-test, it was confirmed that the students' computational thinking and problem-solving ability improved.

• Korean Journal of Cognitive Science
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• v.15 no.1
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• pp.13-24
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• 2004

This paper deals with the anaphoric usage of demonstratives when they refer to what are already mentioned in the context. We examine syntactic, semantic and pragmatic factors that contribute to the choice of demonstratives. As for anaphoric usage, English and Spanish show the even distribution between proximal and distal demonstratives with the meaning of their deictic counterparts. Korean and Russian, however, show the uneven distribution of the more prevalent form (unmarked on) and the lesser one (market one). This study aims at a typological explanation for the anaphoric usage of demonstratives through comparison and contrast with such factors as the distance to the antecedent, cognitive status, psychological distance and the center of attention.

• Journal of Korea Multimedia Society
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• v.24 no.11
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• pp.1580-1587
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• 2021

Currently, the development and sale of various emoticons has given users a wider range of choices, but a systematic and specific approach to the recognition and use of emoticons by actual users is lacking. Therefore, this study tried to investigate the subjective perception and visual attention concentration of actual users on negative emotional expression emoticons through a survey and eye tracking experiment. First, as a result of subjective recognition analysis, it was found that emoticons are frequently used because their appearance is important, and they can express various emotions in a fun and interesting way. In particular, it was found that emoticons that express negative emotions are often used because they can indirectly express negative emotions through various and concretely expressed visual elements. Next, as a result of the eye tracking experiment, it was found that the negative emotional expression emoticons focused on the large elements that visually emphasized or emphasized the emotional expression elements, and it was found that the focus was not only on the facial expression but also on the physical behavioral responses and language of expression of emotions. These results will be used as basic data to understand users' perceptions and utilization of the diversified emoticons. In addition, for the long-term growth and activation of the emoticon industry market in the future, continuous research should be conducted to understand the various emotions of real users and to develop differentiated emoticons that can maximize the empathy effect appropriate to the situation.