• Fashion & Textile Research Journal
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• v.24 no.4
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• pp.386-398
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• 2022

This study was conducted to corroborate the factors that influence consumer characteristics and technology acceptance on online luxury platforms, which are rapidly emerging as distribution channels for luxury brands. To this end, the relationship between the degree of technology acceptance and behavioral intention of fashion consumers on online luxury platforms and the effect on specific factors such as age and gender was investigated to see if there was a difference in behavior and use behavior. A survey was conducted on Korean consumers between the age of 20 and 40 who have used online luxury platforms and then, a statistical analysis was conducted. As a result of the study, performance expectancy and facilitating conditions, hedonic motivation, price value, and habit were found to have a significant effect on platform behavioral intention, but effort expectancy and social influence did not have a significant effect. Additionally, both facilitating conditions and habit were found to have a directly significant effect on the platform use behavior, and it was confirmed that the platform behavior intention also had a significant effect on the use behavior. As a result of confirming the moderating effect of gender and age, there was no difference based on gender, but only the relationship between price value and behavioral intention was found to have a moderating effect. It is hoped that domestic online luxury platforms will grow into channels with distinct characteristics and continue to develop in the luxury market by utilizing specific affect factors of this study.

• KSCE Journal of Civil and Environmental Engineering Research
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• v.43 no.5
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• pp.535-542
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• 2023

In order to understand the seismic performance of a bridge, it is common to review through seismic performance evaluation and numerical analysis of the target bridge. Seismic performance evaluation and review through numerical analysis are analysis methods for specific target bridges, and many problems can arise in each management body managing bridges nationwide. Therefore, in this study, research was conducted to estimate the seismic performance of public bridges with various types and characteristics. Seismic performance was estimated by applying the seismic risk assessment method, calculating the seismic fragility curve for the type and specifications of the bridge, and estimating the seismic performance of the bridge in use by applying the domestic seismic design standard. In addition, by installing it on the platform, service items were established so that users can easily review the estimation of seismic performance of domestic bridges.

• Journal of the Korean Society of Clothing and Textiles
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• v.47 no.4
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• pp.711-728
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• 2023

This study aims to validate the user experience associated with the personalized recommendation systems of fashion vertical platforms. The investigation focused on women aged 18 to 30 with prior experience using personalized fashion recommendation systems. The collected data were analyzed using SPSS 26.0 and AMOS 26.0, and the outcomes can be summarized as follows. Firstly, the diversity and usefulness of information quality exerted a positive effect on use satisfaction. Secondly, the affirmative impact of the reliability of system quality on user satisfaction was established, although stability was not confirmed. Thirdly, the study identified a favorable connection between ease-of-use of service quality and user satisfaction, while the influence of tangibles was unsubstantiated. Fourthly, the degree of self-reference was found to have a positive effect on user satisfaction. Fifthly, a constructive relationship emerged between user satisfaction and both continuous-use intention and recommendation intention. Lastly, there was a significant difference in the magnitude of the effect of ease-of-use on satisfaction according to self-regulatory focus. The findings of this study hold the potential to enhance the explanatory and predictive power of the field of consumer behavior within the novel shopping landscape of fashion vertical platforms.

• The Journal of Society for e-Business Studies
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• v.27 no.2
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• pp.21-36
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• 2022

Recently, as COVID-19 has made the e-commerce market expand widely, customers who have different consumption patterns appear in the market. Because companies can obtain opinions and information of customers from reviews, they increasingly face the requirements of managing customer reviews on online platform. In this study, we analyze customers and carry out market segmentation for classifying and defining type of customers in e-commerce. Specifically, K-means clustering was conducted on customer review data collected from Wemakeprice online shopping platform, which leads to the result that six clusters were derived. Finally, we define the characteristics of each cluster and propose a customer management plan. This paper is possible to be used as materials which identify types of customers and it can reduce the cost of customer management and make a profit for online platforms.

• The Journal of Korean Institute of Next Generation Computing
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• v.13 no.3
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• pp.60-71
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• 2017

Smart devices such as smart phones, smart TVs, and smart pads have become essential devices in recent years. As the popularity and demand grows, the performance of smart devices is also getting better and users are dealing with a lot of things such as education and business using smart devices instead of desktop. However, smart devices that still have poor performance compared to desktop, even with improved performance, have difficulty running high performance applications due to limited resources. In this paper, we propose a load balancing algorithm applying the characteristics of smart devices to overcome the resource limitations of devices. in order to verify the algorithm, we implemented the algorithm after adding the distributed processing system service in Android platform. After constructing the cluster on the smart device, various experiments were conducted. Through the analysis of the test results, it is confirmed that the proposed algorithm efficiently improves the overall distributed processing performance by effectively aggregating different amounts of computing resources in heterogeneous smart devices.

• The Journal of the Convergence on Culture Technology
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• v.8 no.3
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• pp.463-468
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• 2022

The prolonged of the Post Corona made many industry's paradigm. It's become very important In the industries products that customers directly touch and use. To cope with this situation, The Cosmetics industry has recently introduced various untact services. many customers would like to try these new services. Typically, online survey services recommend personalized products. but these services reached its limit later. This paper research how to recommend products and define skine type with AI Image diagnosis module combine with legacy survey system.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.23 no.5
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• pp.63-70
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• 2023

In this paper, we propose a Mixed Reality based rehabilitation exercise solution with the goal of mitigating one of the most common chronic conditions among the elderly, musculoskeletal disorders. In modern society, as the number of elderly increases, more people engage in office work and engage in more sedentary activities. Due to repetitive work in the office, muscle strength decreases and this causes many difficulties in daily life. In this study, we developed a mixed reality based exercise platform to solve these chronic musculoskeletal diseases. VR is not appropriate for elderly because of dizziness. In addition, we developed a wearable sensor based on IMU and attached it to important parts of the upper body to motion tracking. We developed a algorithm synchronize to raw data from wearable sensor with in a vr avatar. Ederly can check in real time whether rehabilitation exercises are being performed accurately through the avatar.

• Journal of the Korea Society of Computer and Information
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• v.29 no.8
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• pp.77-84
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• 2024

In this paper, we design and implement an online exhibition application based on an Android platform that can showcase the artistic works of disabled artists. This application considers user convenience for disabled artists, particularly providing STT(Speech-to-Text) and TTS(Text-to-Speech) features for visually and hearing impaired individuals. Additionally, for the exhibition of works by disabled artists, the application implements disability certification during registration using disability certificates and registration numbers, ensuring that only authenticated disabled artists can exhibit their works. The database storing personal information of disabled artists and information about art pieces is implemented using MySQL. The server module utilizes RestAPI to transmit data in Json format. To address the large data size of art piece information, it is stored using Firebase Storage, eliminating data size limitations on the server. This application can alleviate issues such as a lack of exhibition space for disabled artists and a lack of communication with the general public.

• The Journal of the Korea institute of electronic communication sciences
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• v.19 no.5
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• pp.1041-1050
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• 2024

BIM technology, which was introduced to systematically manage buildings, is also being combined with augmented reality technology to provide users with realistic services. In order for the BIM model to be accurately positioned in the real space, it is necessary to align the BIM modeling space with the augmented reality space. In this paper, we propose a method to accurately position a BIM model at the designed location when augmenting it into real space. In the proposed method, an augmented reality application is implemented by applying the Unity 3D game engine and the ARCore platform, which uses the plane recognition function of ARCore. We generate a marker on the detected plane to set the location of a BIM model, and correct the direction of the model using the normal vectors from the wall and floor. Implementation results show that the proposed method utilizes ARCore's plane recognition library to effectively compensate for spatial differences and accurately place the model in real-world space.

• Proceedings of the Korean Society for Emotion and Sensibility Conference
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• 2009.11a
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• pp.79-82
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• 2009

본 연구는 인터넷의 진화 및 이미징 디바이스 전반의 발달에 따른 디지털 카메라의 진화 전략을 다룬 논문이다. 오늘날의 카메라 기술은 하루가 다르게 발전해 나가고 있다. 수동 필름 카메라에서부터 최첨단 하이브리드(hybrid) 카메라에 이르기 까지 카메라는 끊임없이 진화해 왔으며 사용자 계층 역시 다양해지고 있다. 디지털이 적용된 디지털 카메라의 경우, 웹의 발전과 더불어 활용도가 다양해 짐에 따라서 기존에는 전문가와 비전문가 계층으로 명확하게 나뉘던 사용자 계층도 그 경계가 모호해졌으며 사용자의 수 역시 비약적으로 증가하였다. 수많은 사업자들이 디지털 카메라 시장에 진출함에 따라, 높은 성장세가 지속되던 컴팩트 카메라 (compact camera)시장은 과포화기에 접어들어 성장성이 점차 감소하는 추세에 있으며, 전문가의 영역으로 여겨졌던 DSLR 시장 역시 선발업체의 높은 진입장벽과 이를 극복하기 위한 후발업체의 지속적인 도전으로 인해 경쟁은 치열하고 이익은 내기 어려운 레드 오션(red ocean)이 되었다. 이러한 상황 속에서 디지털 카메라가 활용될 수 있는 대표적 매체인 웹 역시 '웹 2.0' 이라는 용어가 생길 정도로 발전했다. 웹2.0시대가 본격화되어 서로 다른 사용자들이 자유롭게 컨텐츠를 공유하고 누구든지 쉽게 정보의 생산에 동참할 수 있게 됨으로써 기존의 웹에서 일어나지 않았던 다양한 변화들이 생겨나게 되었다. 본 연구에서는 변화의 특징들을 살펴보기 위해 웹 2.0 시대의 대표적인 컨텐츠 공유 커뮤니티로 자리매김한 야후(Yahoo)사(社) 플리커(Flickr)의 사례를 통해 디지털 카메라 사용자들의 디지털 카메라 사용패턴을 살펴보고 이를 통해 디지털 카메라의 진화를 설명하고자 한다. 인터넷이 발전하며 디지털 카메라와 관련 되어 나타난 대표적인 변화는 일반 소비자가 진화하는 점 이라고 볼 수 있다. 컨텐츠의 공유가 자유로운 웹 플랫폼의 등장, 카메라 기술이 결합된 소형 디지털 단말기의 발전 등으로 인해 비전문가 영역에 속해있던 일반 소비자 계층에 Flickr와 같은 웹 커뮤니티에서의 활동을 통해 준전문가 계층으로 진입하려는 욕구가 생기게 되었는데, 이렇게 형성된 욕구에 따라 디지털 카메라 시장 역시 새로운 수요를 만나게 되었다. 본 연구에서는 경쟁이 치열한 시장 상황 속에서 디지털 카메라의 향후 발전 방향을 알아보기 위해 우선 디지털 카메라 기능을 나누어 본 후, 이미징 디바이스 시장과 웹의 발전 형태에 대해 분석해보았다. 이어 본 연구에서는 분류된 디지털 카메라의 기능을 바탕으로 웹 2.0 시대에 시장을 주도할 수 있는 디지털 카메라의 변화방향에 대해서 알아보았다. 본 연구는 감성적 및 이성적 측면에서 디지털 카메라의 향후 전개방향을 살펴보았다는 점에서 이론적 실무적 함의를 가지는 논문이라고 사료된다.