• Journal of the Society of Disaster Information
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• v.10 no.1
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• pp.33-39
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• 2014

Chemical accidents are the cause of the accident site during the initial responders to quickly and easily see materials and concentration method for the U.S. Environmental Protection Agency(EPA) is widely used in the initial response team direct reading detection equipment used. Ministry of the tubular gas detection equipment to detect direct reading detection equipment used in the event of an accident scene, and shell-and-tube gas detector for rapid detection and identification and precise analysis of causative pollutants before about strategically can identify the quantitative and qualitative useful equipment. However, those who initially respond to the scene of a direct reading detection equipment and a simple lack of understanding of how to use the numbers only because of the way you want to check the accuracy of detection results have been raising questions about the increase. The scene of the accident in order to obtain an accurate detection results used in this paper, the Ministry of Environment of gas detectors detect tubular Kitagawa and Draeger detector tube to check the reactivity of the material on-site detection of early response of those who were to raise the accuracy of the results.

• Journal of the Korean Institute of Gas
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• v.11 no.2 s.35
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• pp.5-9
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• 2007

There have been 3E problems of energy, economy and environment since the earth has its history. Especially, the energy and environment problems have been getting serious after the modem industry revolution. Therefore, the demand of gas as an eco-friendly energy source is getting increased. With the demand of gas, the installation and use of gas boiler is also increased, so human life injury by the waste gas(CO) of boiler goes on increasing every you. Hence, we want to find out the harm to human body through the study on the concentration of CO by the length of the straight exhaust tube of gas boiler. The allowable concentration of CO is 50 ppm. The 3 m of once bended tube starts exceeding the allowable concentration of CO after 5 minutes, and the 4 m and 5 m starts exceeding after 3 minutes.

• Journal of the Korean Society for Precision Engineering
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• v.19 no.2
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• pp.220-227
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• 2002

The design of suction muffler for compressor aims to achieve a maximum noise reduction and a minimum pressure loss. Until now, the design process has been performed experimentally rather than theoretically. In this paper, to achieve the maximum noise reduction and minimum pressure loss. we studied the effect of the shape and volume of the expansion tube of the muffler on TL and pressure drop. We made an extensive use of computer program such as SYSNOISE. FLUENT, and STAR-CD to calculate the TL and pressure distribution of suction muffler. The design of the muffler is optimized with respect to flow loss and TL. Experiments are performed to check the result of design change, which proves satisfactory results. It is expected that this process can reduce time to design a muffler in the fields.

• Journal of Distribution Science
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• v.18 no.6
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• pp.37-46
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• 2020

Purpose: This research aims to explain the influence of social media influencer (SMI), electronic word of mouth (EWOM), and perceived quality (PQ) on purchase intention (PI) of beauty products on YouTube. Youtube as the number 1 social media in Indonesia, has an important role as a promotional strategy media for beauty products. Research design, data and methodology: This study used the online survey to 210 female respondents aged 17-30 years who became a subscriber of an Indonesian beauty influencer. Simple regression and multiple regressions were performed to analyze the independent variables towards the dependent variable. Results: The results show that social media influencer, electronic word of mouth, and perceived quality simultaneously have a significant influence on purchase intention. Nevertheless, only two variables individually have a significant influence on purchase intention, which is social media influencer and perceived quality. Conclusions: Perceived quality and social media influencer could be the best strategies to increase consumers when promoting through the influencer's Youtube channel by utilizing a subscriber. While e-WOM can be influential on other social media platforms rather than on the Youtube platform. Therefore, suggested that digital marketer must use multiple social media platforms to increase consumers' purchase intention.

• Journal of the Korean Electrochemical Society
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• v.12 no.3
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• pp.282-286
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• 2009

The synthesis and characterization of catalysts supported on multi-walled carbon nanotubes (CNTs). $Pt/Au/TiO_2$ is added to a CNTs(cabon nano tube) carbon support to improve the performance of a direct methanol fuel cell. XRD and SEM showed that uniform anatase $TiO_2$ and Pt/Au particles were about 200 nm and 20${\sim}$25 nm in diameter. The composite catalyst activities were measured by cyclic voltammetry (CV), demonstrating that it is more promising for use in fuel cells.

• Journal of Internet Computing and Services
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• v.19 no.5
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• pp.77-87
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• 2018

Since the inception of the platform business in educational contents, the prominence of the online educational video has flipped the educational environment. Educational contents have been produced on the internet and allowed learners to access more flexible and student-centered. In fact, the number of people watching the educational content online, such as TED talks and YouTube, has increased during the past decade. The ways of delivering the lecture and the course information in online educational videos are totally different from the traditional lectures. In this paper, we aimed to examine and categorize the online educational videos based on the user's engagement and interest in the course contents. For the study, a negative binomial regression analysis was applied to estimate the effects of the attributes of the traditional lectures by comparatively analyzing the educational videos online. Several values are determined as engaging factors in the online educational videos; hybrid production of education and entertainment, shorter duration, and the number of presenters. From the study, we suggests how to produce engaging educational contents which will appeal the attentions from the users. Moreover, the result of the study may use as a guide to the providers making the productive educational videos.

• CELLMED
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• v.7 no.3
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• pp.11.1-11.3
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• 2017

The aim of this article is to argue that a valuable tool to calm impatience is to listen to Sijo. The author seeks to argue that the best way to calm impatience is to listen to Sijo. Sijo refers to a slow and mellow music in the family of Han Ak (Korean music, 韓樂). The term slow is a revered keyword in our culture. "Slow" is a blank word in Han Ak (Korean music, 韓樂). The soul of Wol-ha Kim's Sijo is a beauty of space and easiness. Therefore, her voice will help relax the muscles of the listener and calm the soul. It is akin to the struggles of modern people competing for something excessively but ending up with nothing. We often find that gentle jogging is better than sprinting. Slow music is thus good for one's health. For example, we know that our skin can become beautiful and that real beauty can be obtained only when the body and mind are at rest and in comfort. Physical appearance depends on a healthy mind and body. The author believes that Sijo for music therapy is good for our mental health. If its effectiveness is confirmed after performing tests on animals and humans in an experimental study, we can use this type of music to treat patients with psychological illnesses.

• Journal of the Korean Society of Clothing and Textiles
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• v.45 no.4
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• pp.630-647
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• 2021

As generations Y and Z gain influence, luxury fashion brands are interacting with younger digital consumers through fashion film, seeking to offer them a differentiated brand experience. Using a literature review addressing characteristics of fashion films as a communication medium and luxury fashion brands' heritage in the digital era, this study examines how brands express their heritage through fashion film, categorizing those expressions in terms of implicit meaning. The case study analyzed films from Louis Vuitton, Chanel, Dior, and Burberry uploaded to YouTube between 2018 and 2020. First, to retain their status as luxury, brands emphasize historical legitimacy. Specifically, they highlight their iconic historical image, their succession of creative directors, valuable historic locations, and diversity of consumer's brand experiences. Second, by stressing craftsmanship, integrating contemporary art and local culture, and utilizing a museum aura, they use brand heritage to acquire luxury status. Third, they attempt to mythify the founders by creating the persona of the fashion designer and the artist. The results show that the heritage depicted in fashion films is a key way in which luxury fashion brands resolve the tension between accessibility and exclusivity that they encounter and to get consumers emotionally engaged with brands.

• International Journal of Computer Science & Network Security
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• v.21 no.5
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• pp.256-266
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• 2021

The Convolutional Neural Network (CNN) has recently made potential improvements in face verification applications. In fact, different models based on the CNN have attained commendable progress in the classification rate using a massive amount of data in an uncontrolled environment. However, the enormous computation costs and the considerable use of storage causes a noticeable problem during training. To address these challenges, we focus on relevant data trained within the CNN model by integrating a lifting method for a better tradeoff between the data size and the computational efficiency. Our approach is characterized by the advantage that it does not need any additional space to store the features. Indeed, it makes the model much faster during the training and classification steps. The experimental results on Labeled Faces in the Wild and YouTube Faces datasets confirm that the proposed CNN framework improves performance in terms of precision. Obviously, our model deliberately designs to achieve significant speedup and reduce computational complexity in deep CNNs without any accuracy loss. Compared to the existing architectures, the proposed model achieves competitive results in face recognition tasks

• Journal of Distribution Science
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• v.19 no.4
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• pp.25-35
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• 2021

Purpose: This study aims to analyze the factors affecting customer satisfaction in the customer reviews of omni-channel, posted on Internet blogs, cafes, and YouTube using text mining analysis. Research, data, and Methodology: In this study, frequency analysis is performed and the LDA (Latent Dirichlet Allocation) is used to analyze social big data to respond to reviewers' reaction to the recently opened omni-channel shopping reviews by L Shopping Company. Additionally, based on the topic analysis, we conduct a sentiment analysis on purchase reviews and analyze the characteristics of each topic on the positive or negative sentiments of omni-channel app users. Results: As a result of a topic analysis, four main topics are derived: delivery and events, economic value, recommendations and convenience, and product quality and brand awareness. The emotional analysis reveals that the reviewers have many positive evaluations for price policy and product promotion, but negative evaluations for app use, delivery, and product quality. Conclusions: Retailers can establish customized marketing strategies by identifying the customer's major interests through text mining analysis. Additionally, the analysis of sentiment by subject becomes an important indicator for developing products and services that customers want by identifying areas that satisfy customers and areas that evoke negative reactions.