• Journal of Convergence for Information Technology
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• v.11 no.11
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• pp.137-142
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• 2021

Although the internet has gained many conveniences and benefits, it is causing economic and social damage to users due to intelligent malware. Most of the signature-based anti-virus programs are used to detect and defend this, but it is insufficient to prevent malware variants becoming more intelligent. Therefore, we proposes a model that detects and defends the intelligent malware that is pouring out in the paper. The proposed model learns by imaging the characteristics of malware based on deeplearning, and detects newly detected malware variants using the learned model. It was shown that the proposed model detects not only the existing malware but also most of the variants that transform the existing malware.

• Child Health Nursing Research
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• v.27 no.3
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• pp.211-224
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• 2021

Purpose: Obesity among children from low-income families is becoming a social problem. The aim of this study was to evaluate the effectiveness of an obesity prevention program that included physical activity, nutrition education, behavioral modification, and primary caregiver participation components among children from low-income families. Methods: The study analyzed a nonequivalent control group using a pretest-posttest design. A total of 77 children were recruited from six community childcare centers using purposive sampling. For the intervention group (n=40), the pretest was administered before the combined intervention program involving the participants' primary caregivers was conducted for 8 weeks. The posttest was conducted immediately after the program and again four weeks after the program. Results: Flexibility (F=4.64, p=.020), muscular endurance (F=11.22, p<.001), nutritional knowledge scores (F=4.79, p=.010), body image satisfaction scores (F=4.74, p=.012), and self-esteem scores (F=3.81, p=.029) showed significant differences and interactions between group and time for the intervention and control groups. Conclusion: Strategies to actively engage the primary caregivers of low-income families in children's obesity programs are needed. Obesity prevention programs for children based on the program in this study should be routinely developed, and continuing attention should be given to children from low-income families.

• Journal of the Korean Society of Laryngology, Phoniatrics and Logopedics
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• v.29 no.2
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• pp.67-69
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• 2018

The development of office-based, unsedated transnasal esophagoscopy (TNE) has proven to be a major technological advance and with time and experience the application of this technology is becoming more widespread. TNE has allowed otolaryngologists to perform a variety of diagnostic and therapeutic procedures in the office setting. Studies consistently demonstrate that the image quality and diagnostic capability of TNE is equivalent to conventional esophagoscopy. The modern TNE endoscopes offer high quality optics, air-insufflation, and irrigation capability through a 2-mm working channel, and the ability to perform biopsies and select procedures. In general, the role of TNE in the head and neck patient is three-fold : to screen for synchronous and metachronous esophageal squamous cell carcinoma (ESCC) ; to differentiate post-treatment changes/symptoms from malignancy ; and to perform certain office-based procedures. TNE offers many specific advantages to the head and neck patient that are not afforded by conventional esophagoscopy. Because of surgical and postirradiation changes, many HNSCC patients have trismus or neck stiffness preventing completion of conventional transoral esophagoscopy. Perhaps most importantly, TNE provides enhanced patient safety, increased tolerability, better practice efficiency, and cost savings. For these reasons, TNE has become a particularly useful tool in the otolaryngologist's armamentarium.

• Journal of the Semiconductor & Display Technology
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• v.18 no.2
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• pp.58-62
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• 2019

Diffractive Optical Elements(DOEs) diffracts incident light using the diffraction phenomenon of light to generate a desired diffraction image. In recent years, the use of diffraction optics, which can replace existing refractive optical elements with flat plates, has been increased by implementing various optical functions that could not be implemented in refractive optical devices and by becoming miniaturized and compacted optical elements. Direct laser lithography is typically used to effectively fabrication such a diffractive optical element in a large area with a low process cost. In this study, the process conditions for fabricating patterns of diffractive optical elements in various shapes were found using direct laser lithographic system, and optical performance evaluation was performed through fabrication.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2014.05a
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• pp.367-369
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• 2014

Digital data are mostly comprised of unstructured data such as text file, office file, image file, video file, and drawing file. The recent digital data being generated and used within enterprise are sharply increasing in quantity. Those digital data are becoming significant as digital assets, but the value of digital assets is not properly evaluated. Accordingly, this study will present a model to evaluate the value of unstructured data as digital assets within enterprise and will also present a differentiated management plan for unstructured data as assets.

• The Research Journal of the Costume Culture
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• v.29 no.2
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• pp.222-239
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• 2021

In this study, six mainland Chinese designer brands-Xander Zhou, Sankuanz, Sean Suen, Feng Chen Wang, Pronounce, and Angel Chen-were selected that had their works presented at both Chinese and global fashion shows between 2016 and 2021. By analyzing the design characteristics of each brand, it is possible to understand the style characteristics and trends of Chinese menswear designs. A case study approach was adopted utilizing literature data, whereby 1663 photos were collected from the fashion information website POP (www.pop-fashion.com). Changes in Chinese men's image and the menswear market were identified. The design characteristics of modern Chinese menswear are as follows. First, the results from analyzing the target brands show that each brand has a distinct personality. Compared with the traditional or formal style, urban casual and sports styles (based on street style) account for a larger proportion. Second, the boundaries between different styles are becoming ambiguous, and contrasting styles are harmoniously expressed by breaking down boundaries through changes and combinations of colors, materials, and details. Third, after examining the overall trend, 2018 was a watershed point, after which the design trend has changed from either conservative or exaggerated to a practical and everyday style, demonstrating a genderless trend.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.16 no.1
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• pp.231-244
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• 2022

With the improvement of people's living standards and the development of tourism, tourists have greater freedom in choosing destinations. Therefore, as an indicator of satisfaction with scenic spots, tourist comments are becoming increasingly prominent. This paper aims to compare and analyze the landscape image of the Five Great Mountains in China and provide specific strategies for its development. The online reviews of tourists on the Online Travel Agency (OTA) website about the Five Great Mountains from 2015 to 2018 are collected as research samples. The text analysis method and R language are used to analyze the content of the tourist reviews, while the high-frequency words in the word cloud are used for visual display. In addition, the entropy weight method is used to determine the index weight and tourist satisfaction is evaluated to understand the weaknesses of those scenic spots. The results of the study show that firstly, the tourist satisfaction with the Five Great Mountains is basically consistent with its popularity. Secondly, through weight analysis, tourists pay special attention to the landscape features and environmental health of the scenic area, so that relevant departments should focus on building the landscape characteristics and improving the environmental health of the scenic area. At the same time, the accommodation and service management of the scenic spot cannot be ignored. Finally, according to the analysis results, suggestions are made on how to improve the tourist satisfaction with the Five Great Mountains.

• International journal of advanced smart convergence
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• v.11 no.2
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• pp.7-12
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• 2022

Safety and security are the topmost priority in every environment. With the aid of Artificial Intelligence (AI), many objects are becoming more intelligent, conscious, and curious of their surroundings. The recent scientific breakthroughs in autonomous vehicular designs and development; powered by AI, network of sensors and the rapid increase of Internet of Things (IoTs) could be utilized in maintaining safety and security in our environments. AI based on deep learning architectures and models, such as Deep Neural Networks (DNNs), is being applied worldwide in the automotive design fields like computer vision, natural language processing, sensor fusion, object recognition and autonomous driving projects. These features are well known for their identification, detective and tracking abilities. With the embedment of sensors, cameras, GPS, RADAR, LIDAR, and on-board computers in many of these autonomous vehicles being developed, these vehicles can properly map their positions and proximity to everything around them. In this paper, we explored in detail several ways in which these enormous features embedded in these autonomous vehicles, such as the network of sensors fusion, computer vision and natural image processing, natural language processing, and activity aware capabilities of these automobiles, could be tapped and utilized in safeguarding our lives and environment.

• The Journal of Information Systems
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• v.31 no.2
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• pp.159-177
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• 2022

Purpose Online reviews are critical for sales of online shopping platforms because they provide useful information to consumers. As the eCommerce market grows rapidly, the role of online reviews is becoming more important. The purpose of this study is to analyze how online reviews written by domestic consumers affect product sales by classifying the types of products. Design/methodology/approach This study analyzed how the effects of review characteristics(reviewer reputation, reviewer exposure, review length, time, rating, image, and emotional score) on the usefulness of online reviews differ depending on the product types. Subsequently, how the impact of review attributes (review usefulness, number of reviews, ratings, and emotional scores) on product sales differs according to each product type was compared. Based on the FCB Grid model, the product type was classified into high involvement-rational, high involvement-emotional, low involvement -rational, and low involvement-emotional product types. Findings According to the analysis result, the characteristics of reviews useful to consumers were different for each product type, and the review attributes affecting product sales were also different for each product type. This study confirmed that it revealed that product characteristics are major consideration in evaluating the review usefulness and the factors affecting product sales.

• The Research Journal of the Costume Culture
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• v.30 no.5
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• pp.766-778
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• 2022

Image-oriented information is becoming increasingly important on social networking services (SNS); the background of this trend is the popularity of selfies. Currently, camera applications using augmented reality (AR) and artificial intelligence (AI) technologies are gaining traction. An AR camera app is a smartphone application that converts selfies into various interesting forms using filters. In this study, we investigated the change of keywords according to the time flow of selfies in Goolgle News articles through semantic network analysis. Additionally, we examined the effects of using an AR camera app on appearance satisfaction and self-esteem when taking a selfie. Semantic network analysis revealed that in 2013, postings of specific people were the most prominent selfie-related keywords. In 2019, keywords appeared regarding the launch of a new smartphone with a rear-facing camera for selfies; in 2020, keywords related to communication through selfies appeared. As a result of examining the effect of the degree of use of the AR camera app on appearance satisfaction, it was found that the higher the degree of use, the higher the user's interest in appearance. As a result of examining the effect of the degree of use of the AR camera app on self-esteem, it was found that the higher the degree of use, the higher the user's negative self-esteem.