• Title/Summary/Keyword: Data digitalization

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The impact of consumer smartness and the perceived intellectual capital of fashion firm on value co-creation behavior intention in virtual worlds (소비자 스마트니스와 지각된 패션기업 지적자본이 가상세계에서의 가치공동창출행동 의도에 미치는 영향)

  • Soo-kyoung Ahn;Eunjeong Ryou
    • The Research Journal of the Costume Culture
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    • v.32 no.2
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    • pp.148-163
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    • 2024
  • With the digitalization of production and consumption environments, consumers are no longer merely targets of marketing, but key players in creating value jointly with companies by participating in various decision-making processes. Much virtual content in particular, such as fashion shows, exhibitions, games, social activities, and shopping, which fashion brands implement in virtual worlds, cannot be completed without consumers' active engagement and interaction. Thus, this study considers consumers' participation in virtual content provided by fashion brands as value co-creation in virtual worlds. This study aims to examine how consumer (i.e., consumer smartness) and fashion firm (i.e., perceived intellectual capital) factors influence value co-creation behavior intention in virtual worlds. Data were collected from 410 consumers in their 20s nationwide through an online survey, and a higher-order structural equation modeling analysis was conducted to test the research model. The results showed that both consumer smartness and perceived intellectual capital positively influenced customer participation behavior and citizenship behavior intentions. Specifically, perceived intellectual capital had a greater impact on value co-creation behavior in the virtual world than consumer smartness. The findings provide empirical evidence that the fashion firms' intangible assets and consumers' competence in the digital shopping environment encourage their intentions to co-create value in virtual worlds.

A Study for DVD Authoring with IEEE 1394 (Desktop PC를 이용한 DVD Authoring에 관한 연구)

  • Lee Heun-Jung;Yoon Young-Doo
    • Proceedings of the Korea Contents Association Conference
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    • 2005.11a
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    • pp.137-143
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    • 2005
  • The popularization of IEEE1394(firewire) configuration in Desktop PC have done much to popularize Non-Linear video editing. DVD has been taking the lead in an age as the movie storage medium which represents a recent decade the place because of decreasing in cost of DVD-RW. But, it is the actual condition which has been had any research data about the process which produces the high quality movie of DVD to most ordinary people. Taking into account to capture the image with Avid Xpress DV and Adobe Premiere Pro which are representative video editing softwares in Desktop PC in general, we would like to close by proposing that DVD Authoring Process is available to keep high quality image in Desktop PC by the using of comparison and analysis of the image quality and export data which are able to be happened to the procedure of digitalization of video Authoring using of Adobe Encore.

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Design and Evaluation of Wireless Sensor Node Application for u-Healthcare (u-헬스케어를 위한 무선센서노드 어플리케이션 구현 및 성능 평가)

  • Lee, Dae-Seok;Chung, Wan-Young
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2007.10a
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    • pp.518-521
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    • 2007
  • The functional wireless sensor node for u-healthcare application was developed. The developed sensor node can check the abnormality of ECG in some simple software in ROM of microprocess in the sensor node. The ECG signal is one of very important health signal form human body, and wavelike signal which is sampled as a sampling frequency between 100 and 400 Hz for digitalization, so the wireless data dor ECG signal is some heavy in Zigbee communication. Thus the sensor send the ECG signal to other sensor nodes or base station when it find abnormality in ECG signal is key technology to reduce the traffic between sensor nodes in wireless sensor network for u-healthcare, The sensor node does not need to transmit ECG data all time in wireless sensor network and to server. Using these sensor nodes, the healthcare system can dramatically reduce wireless data packet overload, the power consumption of battery in the sensor nodes and thus increase the reliability of the wireless system.

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A Study on the Removal of Impulse Noiseusing Wavelet Transform Pair and Adaptive-Length Median filter (웨이브렛 변환쌍과 적응-길이 메디안 필터를 이용한 임펄스 노이즈 제거에 관한 연구)

  • 배상범;김남호
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.7 no.7
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    • pp.1575-1581
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    • 2003
  • As a society has progressed rapidly toward a highly advanced digital information age, a multimedia communication service for acquisition, transmission and storage of image data as well as voice has being commercialized externally and internally. However, in the process of digitalization or transmission of data, noise is generated by several causes, and researches for eliminating those noises have been continued until now. There were the existing FFT(fast fourier transform) and STFT(short time fourier transform) for removing noise but it's impossible to know information about time and time-frequency localization capabilities has conflictive relationship. Therefore, for overcoming these limits, wavelet transform which is presented as a new technique of signal processing field is being applied in many fields recently. Because it has time-frequency localization capabilities it's Possible for multiresolution analysis as well as easy to analyze various signal. And when two wavelet base were designed to form Hilbert transform pair, wavelet pair provide superior performance than the existing DWT(discrete wavelet transform) in data characteristic detection. Therefore in this parer, we removed impulse noise by using adaptive-length median filter and two dyadic wavelet base which is designed by truncated coefficient vector.

A Study on Simulation Analysis for the Transmission Delay on the Process bus network in IEC 61850 Digital Substation (디지털변전소 통합 IED 용 Process Bus 네트워크 통신지연 시뮬레이션 연구)

  • Kim, Seok-Kon;An, Yong-Ho;Jang, Byung-Tae;Choi, Jong-Kee;Lee, Nam-Ho;Han, Jung-Yeol;Lee, You-Jin
    • Journal of the Korean Institute of Illuminating and Electrical Installation Engineers
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    • v.29 no.8
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    • pp.18-22
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    • 2015
  • Digitalization of the substation in Korea has been in progress so far with focusing on Station Bus. However, its application to Process Bus has been delayed due to some technical issues. IEDs based on Process Bus use the data values of SV and GOOSE. As the size of communication data on Process Bus is comparatively bigger than that of Station Bus, it is very important for the evaluating the performance of Process Bus to analyze the transferring speed and quality of data from the first equipment, which is located on process level, to station level. According to the results of related studies, it is said that the most important factor for the design and operation of Process Bus network is the communication delay with consideration of the volume of packets. In the paper, the results of performance test for the network with and without application of VLAN on Process Bus system that uses integrated IEDs are presented. Additionally, the paper proposes the optimal method to analyze the communication delays of network systems through evaluating the maximum delay time, link process ratio and the amount of lost packets by using a simulation tool.

Access Management Using Knowledge Based Multi Factor Authentication In Information Security

  • Iftikhar, Umar;Asrar, Kashif;Waqas, Maria;Ali, Syed Abbas
    • International Journal of Computer Science & Network Security
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    • v.21 no.7
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    • pp.119-124
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    • 2021
  • Today, both sides of modern culture are decisively invaded by digitalization. Authentication is considered to be one of the main components in keeping this process secure. Cyber criminals are working hard in penetrating through the existing network channels to encounter malicious attacks. When it comes to enterprises, the company's information is a major asset. Question here arises is how to protect the vital information. This takes into account various aspects of a society often termed as hyper connected society including online communication, purchases, regulation of access rights and many more. In this research paper, we will discuss about the concepts of MFA and KBA, i.e., Multi-Factor Authentication and Knowledge Based Authentication. The purpose of MFA and KBA its utilization for human.to.everything..interactions, offering easy to be used and secured validation mechanism while having access to the service. In the research, we will also explore the existing yet evolving factor providers (sensors) used for authenticating a user. This is an important tool to protect data from malicious insiders and outsiders. Access Management main goal is to provide authorized users the right to use a service also preventing access to illegal users. Multiple techniques can be implemented to ensure access management. In this paper, we will discuss various techniques to ensure access management suitable for enterprises, primarily focusing/restricting our discussion to multifactor authentication. We will also highlight the role of knowledge-based authentication in multi factor authentication and how it can make enterprises data more secure from Cyber Attack. Lastly, we will also discuss about the future of MFA and KBA.

Prediction of the Probability of Job Loss due to Digitalization and Comparison by Industry: Using Machine Learning Methods

  • Park, Heedae;Lee, Kiyoul
    • Journal of Korea Trade
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    • v.25 no.5
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    • pp.110-128
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    • 2021
  • Purpose - The essential purpose of this study is to analyze the possibility of substitution of an individual job resulting from technological development represented by the 4th Industrial Resolution, considering the different effects of digital transformation on the labor market. Design/methodology - In order to estimate the substitution probability, this study used two data sets which the job characteristics data for individual occupations provided by KEIS and the information on occupational status of substitution provided by Frey and Osborne(2013). In total, 665 occupations were considered in this study. Of these, 80 occupations had data with labels of substitution status. The primary goal of estimation was to predict the degree of substitution for 607 of 665 occupations (excluding 58 with markers). It utilized three methods a principal component analysis, an unsupervised learning methodology of machine learning, and Ridge and Lasso from supervised learning methodology. After extracting significant variables based on the three methods, this study carried out logistics regression to estimate the probability of substitution for each occupation. Findings - The probability of substitution for other occupational groups did not significantly vary across individual models, and the rank order of the probabilities across occupational groups were similar across models. The mean of three methods of substitution probability was analyzed to be 45.3%. The highest value was obtained using the PCA method, and the lowest value was derived from the LASSO method. The average substitution probability of the trading industry was 45.1%, very similar to the overall average. Originality/value - This study has a significance in that it estimates the job substitution probability using various machine learning methods. The results of substitution probability estimation were compared by industry sector. In addition, This study attempts to compare between trade business and industry sector.

Types of business model in the 4th industrial revolution (4차 산업혁명시대의 비즈니스 모델 유형)

  • Jung, Sang-hee;Chung, Byoung-gyu
    • Journal of Venture Innovation
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    • v.1 no.1
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    • pp.1-14
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    • 2018
  • The 4th Industrial Revolution is making a big change for our company like the tsunami. The CPS system, which is represented by the digital age, is based on the data accumulated in the physical domain and is making business that was not imagined in the past through digital technology. As a result, the business model of the 4th Industrial Revolution era is different from the previous one. In this study, we analyze the trends and the issues of business innovation theory research. Then, the business innovation model of the digital age was compared with the previous period. Based on this, we have searched for a business model suitable for the 4th Industrial Revolution era. The existing business models have many difficulties to explain the model of the digital era. Even though more empirical research should be supported, Michael Porter's diamond model is most suitable for four cases of business models by applying them. Type A sharing outcome with customer is a model that pay differently according to the basis of customer performance. Type B Value Chain Digitalization model provides products and services to customers with faster and lower cost by digitalizing products, services and SCM. Type C Digital Platform is the model that brings the biggest ripple effect. It is a model that can secure profitability by creating new market by creating the sharing economy based on digital platform. Finally, Type D Sharing Resources is a model for building a competitive advantage model by collaborating with partners in related industries. This is the most effective way to complement each other's core competencies and their core competencies. Even though numerous Unicorn companies have differentiated digital competitiveness with many digital technologies in their respective industries in the 4th Industrial Revolution era, there is a limit to the number of pieces to be listed. In future research, it is necessary to identify the business model of the digital age through more specific empirical analysis. In addition, since digital business models may be different in each industry, it is also necessary to conduct comparative analysis between industries

A Study on the Intention to Use Personal Financial Product Recommendation MyData Service (금융상품 비교/추천 마이데이터 서비스 이용 의도에 관한 연구)

  • Sung Hoon Cho;Jung Sook Jin;Joo Seok Park
    • The Journal of Bigdata
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    • v.7 no.2
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    • pp.173-193
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    • 2022
  • With the revision of the Data 3 Act, the financial MyData industry was created newly. MyData services collect the financial customers' data scattered in various financial companies and provide personalized services such as personal financial product recommendation, personal expenditure advice, etc. Although MyData service started in 2022, but the use of the service has not been significantly activated. This study attempted to analyze the factors affecting the use of MyData services from the perspective of financial consumers through VAM, UTAUT2 model. The factors related to the perceived value and intention to use MyData services of financial consumers were verified using benefit and sacrifice variables. Personal Innovativeness was used as a moderating variable. As a result of this study, it was found that personal product recommendation service has an important influence on the use of MyData services, and personal innovativeness has an effect as a modulating variable. It can be said that it is meaningful as a preceding study in terms of timing because it studied the perceived value of consumers less than a year after the MyData service began. From the practical perspectives, it was possible to show the change direction and marketing points of the MyData service. In practice, it was possible to confirm the direction of the service and the marketing point.

A Study on the Improvement of Entity-Based 3D Artwork Data Modeling for Digital Twin Exhibition Content Development (디지털트윈 전시형 콘텐츠 개발을 위한 엔티티 기반 3차원 예술작품 데이터모델링 개선방안 연구)

  • So Jin Kim;Chan Hui Kim;An Na Kim;Hyun Jung Park
    • Smart Media Journal
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    • v.13 no.1
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    • pp.86-100
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    • 2024
  • Recently, a number of virtual reality exhibition-type content services have been produced using archive resources of visual art records as a means of promoting cultural policy-based public companies. However, it is by no means easy to accumulate 3D works of art as data. Looking at the current state of metadata in public institutions, there was no digitalization of resources when developing digital twins because it was built based on old international standards. It was found that data modeling evolution is inevitable to connect multidimensional data at a capacity and speed that exceeds the functions of existing systems. Therefore, the elements and concepts of data modeling design were first considered among previous studies. When developing virtual reality content, when it is designed for the migration of 3D modeling data, the previously created metadata was analyzed to improve the upper elements that must be added to 3D modeling. Furthermore, this study demonstrated the possibility by directly implementing the process of using newly created metadata in virtual reality content in accordance with the data modeling process. If this study is gradually developed in the future, metadata-based data modeling can become more meaningful in the use of public data than it is today.