• International journal of advanced smart convergence
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• v.11 no.4
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• pp.155-162
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• 2022

The purpose of this study is to conduct an empirical study on brand authenticity targeting sportswear brand consumers. Through this, we intend to provide the accumulation and implications of authenticity research. For the research model, first, the authenticity of sportswear brand companies was selected as an independent variable. Brand image and brand attitude were selected as the next parameters. Finally, the dependent variable was the intention to pay the premium. Structural equation model analysis was conducted for the structural relationship between these variables. The subjects of this study are consumers who have purchased sportswear brands within the past year. Convenience sampling was used for the sample survey, and 262 people were finally selected as valid samples. The survey was conducted as a non-face-to-face online survey due to the COVID-19 infection. For data processing, frequency analysis was conducted using SPSS 23 to identify the individual characteristics of the survey subjects. In addition, exploratory factor analysis and reliability analysis were performed to refine the scale of the survey tool. Next, using AMOS 21, confirmatory factor analysis and correlation analysis were conducted to verify the measurement model. In addition, structural equation model analysis was conducted to verify the hypothesis. As a result of the analysis, all six hypotheses selected from the research model were adopted.

• International journal of advanced smart convergence
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• v.12 no.4
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• pp.182-189
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• 2023

A recently research, object detection and segmentation have emerged as crucial technologies widely utilized in various fields such as autonomous driving systems, surveillance and image editing. This paper proposes a program that utilizes the QT framework to perform real-time object detection and precise instance segmentation by integrating YOLO(You Only Look Once) and Mask R CNN. This system provides users with a diverse image editing environment, offering features such as selecting specific modes, drawing masks, inspecting detailed image information and employing various image processing techniques, including those based on deep learning. The program advantage the efficiency of YOLO to enable fast and accurate object detection, providing information about bounding boxes. Additionally, it performs precise segmentation using the functionalities of Mask R CNN, allowing users to accurately distinguish and edit objects within images. The QT interface ensures an intuitive and user-friendly environment for program control and enhancing accessibility. Through experiments and evaluations, our proposed system has been demonstrated to be effective in various scenarios. This program provides convenience and powerful image processing and editing capabilities to both beginners and experts, smoothly integrating computer vision technology. This paper contributes to the growth of the computer vision application field and showing the potential to integrate various image processing algorithms on a user-friendly platform

• International journal of advanced smart convergence
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• v.12 no.4
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• pp.44-54
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• 2023

This paper provides a comprehensive analysis of the implications of the metaverse on the music industry, focusing on copyright issues and potential solutions. It delves into the concept and characteristics of metaverse platforms, describing them as environments that immerse users in a variety of virtual experiences. A significant portion of the paper is dedicated to exploring music use and copyright infringement in the metaverse. It examines how users incorporate existing music into their content, often leading to legal challenges due to copyright infringement. The paper discusses the role of online service providers (OSPs) in this context and the legal implications of their actions. The paper also addresses the 'safe harbor' provisions for OSPs and examines the balance between protecting rights holders and limiting OSP liability. It highlights the challenges and limitations of copyright enforcement in the metaverse, especially given the unique nature of content on platforms such as Roblox. Finally, the article proposes solutions to simplify music licensing in the metaverse, suggesting a shift from property rules to liability rules and the establishment of Collective Management Organizations (CMOs) to streamline the licensing process and better protect copyright holders' interests.

• International journal of advanced smart convergence
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• v.12 no.4
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• pp.75-87
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• 2023

We designed to employ an Artificial Intelligence learning model to predict real estate prices and determine the reasons behind their changes, with the goal of using the results as a guide for policy. Numerous studies have already been conducted in an effort to develop a real estate price prediction model. The price prediction power of conventional time series analysis techniques (such as the widely-used ARIMA and VAR models for univariate time series analysis) and the more recently-discussed LSTM techniques is compared and analyzed in this study in order to forecast real estate prices. There is currently a period of rising volatility in the real estate market as a result of both internal and external factors. Predicting the movement of real estate values during times of heightened volatility is more challenging than it is during times of persistent general trends. According to the real estate market cycle, this study focuses on the three times of extreme volatility. It was established that the LSTM, VAR, and ARIMA models have strong predictive capacity by successfully forecasting the trading price index during a period of unusually high volatility. We explores potential synergies between the hybrid artificial intelligence learning model and the conventional statistical prediction model.

• International journal of advanced smart convergence
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• v.12 no.4
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• pp.378-385
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• 2023

The importance of wearing respiratory protective equipment has been highlighted even more during the COVID-19 pandemic. Even if the suitability of respiratory protection has been confirmed through testing in a laboratory environment, there remains the potential for leakage points in the respirators due to improper application by the wearer, damage to the equipment, or sudden movements in real working conditions. In this paper, we propose a method to detect the occurrence of leak holes by measuring the pressure changes inside the mask according to the wearer's breathing activity by attaching an IoT sensor to a full-face respirator. We designed 9 experimental scenarios by adjusting the degree of leak holes of the respirator and the breathing cycle time, and acquired respiratory data for the wearer of the respirator accordingly. Additionally, we analyzed the respiratory data to identify the duration and pressure change range for each breath, utilizing this data to train a neural network model for detecting leak holes in the respirator. The experimental results applying the developed neural network model showed a sensitivity of 100%, specificity of 94.29%, and accuracy of 97.53%. We conclude that the effective detection of leak holes can be achieved by incorporating affordable, small-sized IoT sensors into respiratory protective equipment.

• International journal of advanced smart convergence
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• v.12 no.4
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• pp.237-245
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• 2023

In the cloud service, system resource such as CPU, memory, I/O bandwidth are shared among multiple users. Particularly, in Linux containers environment, I/O bandwidth is distributed in proportion to the weight of each container through the BFQ I/O scheduler. However, since the I/O scheduler can only be applied to conventional block storage devices, it cannot be applied to Zoned Namespace(ZNS) SSD, a new storage interface that has been recently studied. To overcome this limitation, in this paper, we implemented a weighted proportional I/O bandwidth sharing scheme for ZNS SSDs in dm-zoned, which emulates conventional block storage using ZNS SSDs. Each user receives a different amount of budget, which is required to process the user's I/O requests based on the user's weight. If the budget is exhausted I/O requests cannot be processed and requests are queued until the budget replenished. Each budget refill period, the budget is replenished based on the user's weight. In the experiment, as a result, we can confirm that the I/O bandwidth can be distributed on their weight as we expected.

• International journal of advanced smart convergence
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• v.12 no.4
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• pp.418-425
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• 2023

This study examined the importance of screening for changing bodybuilding and fitness category. The screening criteria for bodybuilding, the background and reason for the creation of new bodybuilding and fitness items, the screening criteria for new items, and the use of drugs were described. The current bodybuilding gives high marks to excessive muscles and excessive diet conditions, and new bodybuilding category have been newly established in line with the recent global trend of pursuing natural beauty over abnormally excessive muscles, and the screening criteria also prioritize the balance of ideal and overall muscles to fit your height and weight. In addition, fitness events such as physique and bikini are gaining popularity with the establishment because they focus on not excessive muscles and natural elements of the body that ordinary people can challenge. Since athletes as well as ordinary people are using drugs to increase muscles and suffer side effects, IFBB(International Federation of BodyBuilding) and KBBF(Korea Body Building Federation) should consider and improve the current bodybuilding screening standards that avoid excessive muscles, and it is believed that bodybuilding and fitness events will develop only when strict punishment and continuous anti-doping education are carried out.

• International journal of advanced smart convergence
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• v.12 no.4
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• pp.314-320
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• 2023

This paper examines how the design of female characters in Disney animations is evolving over time, and explores whether these changes are related to the social status of women in modern society. We analyze in detail how Disney's female character design has undergone changes in form, characteristics, and personality with the transition from 2D animation to 3D animation, and show that the change in perception of women in modern society is behind this change. It shows. It deals with changes in the design and personality of female characters, focusing on major Disney animation works before and after 2010. Starting with the movie <Rapunzel>, released in 2010, female characters showed stronger and more active characteristics and changed from traditional Disney princesses. Disney is bringing about this social change by breaking away from the image of an independent woman and showing the growth process of overcoming hardships based on one's abilities and the support of one's family, as well as the increasing number of female characters of various races and appearances. The conclusion was reached that it shows a conscious and active willingness to accept it.

• International journal of advanced smart convergence
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• v.12 no.4
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• pp.328-333
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• 2023

Breaking the fourth wall is a very popular concept right now, and depictions of breaking the barrier between virtuality and reality are often used in game advertising. In VR games, game manufacturers describe the experience after breaking the fourth wall as an experiencer who will be completely immersed in the virtual world, as if they are actually living in the virtual world. At the same time, research in the field of traditional drama also shows that breaking the fourth wall can also bring a sense of alienation to the player, allowing the experiencer to clearly realize that he and the character are in a completely different world, and to conduct aesthetic criticism of related works of art.So why there are two completely different feelings after breaking the fourth wall will be the content of this article. This article will focus on the theoretical analysis of the relationship between two different cognitions and two completely different cognitions after breaking the fourth wall. Finally, it will be analyzed from three directions: game perspective, game art style, and different world views of the game. Finally, it was concluded that when players break the fourth wall in the game, these three factors will cause the experiencer to have two completely different cognitions.

• International journal of advanced smart convergence
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• v.12 no.4
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• pp.395-406
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• 2023

Ten women in their 20s and 10 women in their 50s were selected to investigate the effect of an elastic band exercise program for 8 weeks according to age on women's knee speed expression rate and balance. Knee isokinetic muscle strength measurement, single-legged standing with eyes closed, and YBT were performed 1 week before and after the exercise program. The measured data were analyzed through a mixed design two-way ANOVA, and if there was a significant difference, post hoc verification was performed using the bonferoni method. In our study, as a result of an 8-week elastic band exercise program, there was no difference in the speed development rate according to the measurement period, and the speed development rate according to age was found to be higher in people in their 50s than in their 20s. In our study, there was no difference in balance ability depending on the measurement period, and there was also no difference in balance ability depending on age. Discussing the results of our study, we found that 8 weeks of elastic band exercise cannot bring about significant changes in speed development ability and balance ability, which become more accurate with age.