• 유통과학연구
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• 제18권10호
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• pp.89-99
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• 2020

Purpose: There has been a growing focus on E-wallet adoption especially in emerging markets as it offers a convenient method for users to conduct cashless transactions. This study examines antecedents influencing the decision of Generation Z to adopt E-wallet. It looks into the effect of determining factors including compatibility, perceived convenience, perceived trust, perceived reputation, perceived usefulness, perceived ease of use and social influence on users' intention to use. The moderator role of social influence is also under examination. Research design, data and methodology: The quantitative method has been adopted to collect data from 170 Generation Z users. SmartPLS 3.0 was applied to examine the constructed hypotheses. Results: The results indicate an indirect effect between Compatibility, Perceived Ease of Use, Perceived Trust and Social Influence toward intention to adopt Electronic wallet, or both of those factors are mediated by Perceived Convenience, Perceived Usefulness, and Reputation. Moreover, research finding highlights the role of Perceived Usefulness as Generation Z's intention determinant to use E-Wallet. Conclusions: This study is substantial as it selected the promising customer segment - Generation Z to examine the factors influencing their decision to adopt Electronic wallet. Marketers can navigate which dimensions should be included in marketing campaigns to encourage Generation Z's adoption.

• Human Ecology Research
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• 제60권3호
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• pp.377-390
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• 2022

This study identified and compared family values within and across different generations concerning gender roles, attitudes toward diverse families, children, and parental roles. Data were obtained from the 2020 Seoul Family Report Survey. There were 1,949 study subjects, including first- and second-generation baby boomers and individuals in generations X, Y, and Z in Korea. Latent profile analyses were conducted using M-plus. Perceptions and views concerning family values were classified into different types. The main findings were as follows. Two types were identified among first baby boomers, and three were identified among second baby boomers. Most of the first and second baby boomers belonged to the "moderate" type. Two types were detected among those in Generation X. Regarding gender roles, most views of Generation X were slightly progressive, while their other family values were more moderate. Three types were identified among those in Generation Y: "progressive," "moderate," and "very liberal." Generation Z was identified as a "progressive" group. This study provides basic data to explore the direction of the coexistence of generations by identifying and comparing diverse family values within and across generations.

• Journal of Sport and Applied Science
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• 제8권3호
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• pp.13-19
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• 2024

Purpose: This study aims to investigate the consumption patterns of the MZ generation in relation to eSports and traditional professional sports, focusing on the similarities and differences in spending behavior on game items and professional sports viewing. Research design, data, and methodology: The research utilizes a comparative analysis of eSports and professional sports consumption trends within the MZ generation. Data was collected through surveys targeting MZ generation consumers and analyzed using statistical methods to assess the impact of consumption behaviors on spending. The study particularly focuses on the expenditure behaviors in game items (eSports) versus traditional sports viewing expenses. Results: The analysis revealed that the MZ generation displays distinct consumption behaviors between eSports and traditional sports. eSports consumption is characterized by higher spending on in-game items, driven by personalization and competitive advantages, whereas spending on professional sports viewing is influenced by fan loyalty and event participation. Conclusions: The findings underscore the growing economic significance of eSports, driven by the unique consumption behaviors of the MZ generation. These insights suggest that the eSports industry should continue to adapt its strategies to capitalize on this trend, while traditional sports organizations may need to innovate in engagement strategies to maintain consumer interest and expenditure.

• 대한조선학회논문집
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• 제34권2호
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• pp.85-89
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• 1997

주어진 곡면에 대한 Marking Data의 자동생성 알고리즘과 이에 의거한 전산 시스템의 개발은 강판의 곡가공 자동화 시스템 구축에 있어서 우선적으로 선행되어야 할 연구로서, 이 논문에서는 실제 곡면모델을 대상으로 기 개발한 전산시스템이 생성하는 Marking Data에 의거하여 실험을 수행함으로써 Marking Data의 자동생성을 위한 알고리즘과 개발된 전산시스템의 정당성을 확인하는 것에 중점을 주었다. 실제 곡면모텔에 대한 실험은 기 개발한 전산시스템의 결과 즉 Marking Data와 가열선에 대한 가열조건에 따라 현장에서 수행하였으며 그 결과를 Marking Data 생성 전산 시스템의 결과와의 비교를 통해 개발한 Marking Data 생성 전산 시스템의 현장에서 실용적 적용 가능성을 확인할 수 있었다. 끝으로 개발한 전산시스템의 보완과 확장에 대해 기술하였다.

• 정보처리학회논문지D
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• 제10D권6호
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• pp.907-916
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• 2003

데이터베이스 벤치마크는 많은 양의 데이터에 대한 효과적 생성을 요구한다. 본 논문은 개발된 데이터 생성기의 시스템 구성도, 데이터 생성 동작, 특성을 기술한다. 본 데이터 생성기 특성은 대용량 데이터 생성 지원, 칼럼 단위 데이터 생성, 다양항 데이터 분포 지원 및 검증, 실데이터 생성 등이다. 또한 타 데이터 생성기들과 기능 관점에서 비교하였다. 마지막으로 대용량 데이터 생성시의 입출력 병목현상 해결을 위해 RAID 시스템과 비 RAID 시스템간의 성능을 실험적으로 비교하였으며, 실험 결과에 근거하여 시스템 구성 가이드를 제시한다.

• 대한전기학회:학술대회논문집
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• 대한전기학회 2005년도 제36회 하계학술대회 논문집 A
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• pp.840-842
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• 2005

Since 2001, Korea government has been purchasing the generation from renewable generation facilities with the higher incentive prices than market price in order to increase the penetration of renewable energies. Generally, the incentive purchase tariff is calculated on the base of the generation cost of renewable power facilities. This paper constructs the input data for economic analysis and evaluates the generation cost of PV, wind power, LFG and small hydro power using LCCA model.

• KEPCO Journal on Electric Power and Energy
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• 제6권4호
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• pp.433-438
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• 2020

Accurate forecasting of wind power is important for grid operation. Wind power has intermittent and nonlinear characteristics, which increases the uncertainty in wind power generation. In order to accurately predict wind power generation with high uncertainty, it is necessary to analyze the factors affecting wind power generation. In this paper, 6 factors out of 11 are selected for more accurate wind power generation forecast. These are wind speed, sine value of wind direction, cosine value of wind direction, local pressure, ground temperature, and history data of wind power generated.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제13권6호
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• pp.2964-2985
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• 2019

Global data center IP traffic is expected to reach 20.6 zettabytes (ZB) by the end of 2021. Intra-data center networks (Intra-DCN) will account for 71.5% of the data center traffic flow and will be the largest portion of the traffic. The understanding of traffic distribution in IntraDCN is still sketchy. It causes significant amount of bandwidth to go unutilized, and creates avoidable choke points. Conventional transport protocols such as Optical Packet Switching (OPS) and Optical Burst Switching (OBS) allow a one-sided view of the traffic flow in the network. This therefore causes disjointed and uncoordinated decision-making at each node. For effective resource planning, there is the need to consider joining the distributed with centralized management which anticipates the system's needs and regulates the entire network. Methods derived from Kalman filters have proved effective in planning road networks. Considering the network available bandwidth as data transport highways, we propose an intelligent enhanced SDN concept applied to OBS architecture. A management plane (MP) is added to conventional control (CP) and data planes (DP). The MP assembles the traffic spatio-temporal parameters from ingress nodes, uses Kalman filtering prediction-based algorithm to estimate traffic demand. Prior to packets arrival at edges nodes, it regularly forwards updates of resources allocation to CPs. Simulations were done on a hybrid scheme (1+1) and on the centralized OBS. The results demonstrated that the proposition decreases the packet loss ratio. It also improves network latency and throughput-up to 84 and 51%, respectively, versus the traditional scheme.

• 한국의상디자인학회지
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• 제25권1호
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• pp.83-96
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• 2023

The purpose of this study is to compare and analyze the perception of retro fashion and new-tro fashion using big data. TEXTOM allowed the collection of big data on the words 'retro fashion' and 'new-tro fashion', which was refined afterwards. As for the data collection period, Jan. 1, 2019 to Nov. 30, 2022 was set. A top 50 list of words were extracted from this data based on appearance frequency. The extracted words were processed through Network centrality analysis and CONCOR analysis using Ucinet 6. The results are as follows. 1) In retro fashion, the appearance frequency of 'style' was the highest, followed by 'sensibility', 'color', 'trend', 'fashion', and 'brand'. These words came up with high TF-IDF values. Network centrality analysis discovered that 'color', 'style', 'trend', 'sensibility', and 'design' had high level of connectivity with other words. CONCOR analysis showed a total of four significant groups; trends, styles, looks, and photos. 2) In new-tro fashion, the appearance frequency of 'retro' was the highest, followed by 'trend', 'generation', 'style', 'brand', and 'fashion'. These words also came up with high TF-IDF values. Network centrality analysis found that 'retro', 'trend', 'generation', and 'brand' had high level of connectivity with other words. CONCOR analysis showed a total of four significant groups; style, brand, clothing, and trend. 3) New-tro fashion is included in retro fashion in that it reproduces the styles of the past. However, it is taken completely differently from generation to generation. Unlike the older generations, millennials actively accept newly created clothes and brands based on the past styles. They perceive it as a fashion that reveals their own unique tastes and tastes.

• 대한임베디드공학회논문지
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• 제13권5호
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• pp.253-259
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• 2018

Recently, small satellite industries are rapidly changing. Demand for high performance small satellites is increasing with the expansion of Earth Observation Satellite market. A next-generation small satellites require a higher resolution image storage capacity than before. However, there is a problem that the HW configuration of the existing small satellite image storage device could not meet these requirements. The conventional data storing system uses SDRAM to store image data taken from satellites. When SDRAM is used in small satellite platform of a next generation, there is a problem that the cost of physical space is eight times higher and satellite price is two times higher than NAND Flash. Using the same satellite hardware configuration for next-generation satellites will increase the satellite volume to meet hardware requirements. Additional cost is required for structural design, environmental testing, and satellite launch due to increasing volume. Therefore, in order to construct a low-cost, high-efficiency system. This paper shows a next-generation solid state recorder unit (SSRU) using MRAM and NAND Flash instead of SDRAM. As a result of this research, next generation small satellite retain a storage size and weight and improves the data storage space by 15 times and the storage speed by 4.5 times compare to conventional design. Also reduced energy consumption by 96% compared to SDRAM based storage devices.