Trend Analysis on Clothing Care System of Consumer from Big Data

Koo, Young Seok

doi:10.5805/sfti.2020.22.5.639

Cited by 5 publications

(2 citation statements)

References 11 publications

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“…This site makes data collection and refining processes easier and more convenient than traditional methods using R or Python. The search was conducted exclusively with the portal site Naver because Naver has the highest average inflow rate of all domestic portal sites [8], and online posts about particular topics typically appear across multiple portal sites at the same time [9].…”

Section: Analysis Of Public Perceptionmentioning

confidence: 99%

Design and Implementation of an Innovative Raspberry Pi Auxiliary Device with Mountable Display

Lee

2023

APJCRI

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The purpose of this study is to develop an auxiliary device that securely supports and stabilizes a display device combined with a Raspberry Pi. To this end, the researcher analyzed existing Raspberry Pi boards, commercially available Raspberry Pi stands, and related public perception using big data analytics. As a result, it was found that most existing products had certain limitations. Especially, there were many shortcomings in terms of convenience when combining a display with a Raspberry Pi. Furthermore, through the analysis of public perception, it was possible to identify various key words related to Raspberry Pi. Based on this information, the researcher designed a new Raspberry Pi stand which is proposed in this study. The developments introduced in this study are as follows. The auxiliary device achieves enhanced stability through specially designed plates and fastening holes. Additionally, it enhances mobility and facilitates seamless connections with other devices via a mobility module and coupling member engagement groove. This innovative auxiliary device not only effectively supports the combination of a display device and Raspberry Pi but also provides invaluable support for diverse educational activities involving the Raspberry Pi platform. In this study, the development of a Raspberry Pi stand was presented, but its effectiveness in real-world applications was not verified. Future research should apply this stand in practical settings and conduct its effectiveness verification.

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Section: Analysis Of Public Perceptionmentioning

confidence: 99%

Design and Implementation of an Innovative Raspberry Pi Auxiliary Device with Mountable Display

Lee

2023

APJCRI

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“…빅데이터 분석이란 일반적인 데이터베이스 소프트웨어가 저장, 관 리 그리고 분석할 수 있는 범위를 초과하는 대용량 데이터로서, 데 이터 수집, 검색, 저장, 분석, 시각화 등의 다양한 기술을 포함한다 (Beyer & Laney, 2012). 이러한 빅데이터 분석은 소비자의 감정, 사고, 행동, 태도 등과 함께 시장 흐름 및 트렌드 나아가 새로운 잠재 변수까지 분석 및 도출할 수 있으며, 이를 통해 미래적 차원에서 발 생할 수 있는 사회현상을 예측하고 준비하는 전략적 차원에서 매우 유용하게 활용될 수 있다 (Koo, 2020;Lee et al, 2017…”

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A Study on the Prospects and Development of the Golf Apparel Rental Market Using Big Data Analysis

Lee¹,

Lee²

2023

Korean J Sport Sci

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PURPOSE The purpose of this study was to understand the current market trend for golf apparel rental services and to present basic data to revitalize the golf apparel rental service market and prepare continuous growth plans. METHODS The following keywords were selected for data collection: "golf wear + rental (렌탈)," "golf wear + rental (대여)," "golf apparel + rental (렌탈)," and "golf apparel + rental (대여).“ The analysis period was limited to two years and seven months from January 1, 2020 to July 31, 2022, when COVID-19 began. The analysis was focused on the top 60 keywords to simplify the network. RESULTS Various keywords were extracted through text mining, TF-IDF, connection centrality, emotional analysis, and semantic network analysis of big data analysis. These were then categorized into four factors: “golf apparel rental service,” “self-expression and authentication,” “sharing economy,” and “emotion.” CONCLUSIONS The results of this study show that young golfers are unreluctant and are generally positive in renting golf apparel. Therefore, if the growing paradigm of the consumption behavior of MZ-generation golfers is recognized and analyzed and the requirements are continuously satisfied through various strategies, there will be a higher possibility to help expand the golf apparel rental market.

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Perceptions and Trends of Digital Fashion Technology : A Big Data Analysis

Song¹,

Lim²

2021

FTRJ

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Trend Analysis on Clothing Care System of Consumer from Big Data

Cited by 5 publications

References 11 publications

Design and Implementation of an Innovative Raspberry Pi Auxiliary Device with Mountable Display

Design and Implementation of an Innovative Raspberry Pi Auxiliary Device with Mountable Display

A Study on the Prospects and Development of the Golf Apparel Rental Market Using Big Data Analysis

Perceptions and Trends of Digital Fashion Technology : A Big Data Analysis

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