• 한국IT서비스학회지
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• 제21권1호
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• pp.145-161
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• 2022

The data is a key catalyst for the development of the fourth industry, and has been viewed as an essential element of the new industry, with technology convergence such as artificial intelligence, augmented/virtual reality, self-driving and 5 G. This will determine the price and value of the data as the user uses data in which the data is based on the context of the situation, rather than the data itself of the past supplier-centric data. This study began with, what factors will increase the value of data from a user perspective not a supplier perspective The study was limited to public data and users conducted research on users using data, such as analysis or development based on data. The study was designed to gauge the value of data that was not studied in the user's perspective, and was instrumental in raising the value of data in the jurisdiction of supplying and managing data.

• 지식경영연구
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• 제18권1호
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• pp.67-81
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• 2017

As the important breakthrough continues in the field of machine learning and artificial intelligence recently, there has been a growing interest in the analysis and the utilization of the big data which constitutes a foundation for the field. In this background, while the economic value of the data held by the corporates and public institutions is well recognized, the research on the evaluation of its economic value is still insufficient. Therefore, in this study, as a part of the economic value evaluation of the data, we have conducted the economic value measurement of the data generated through the small business guarantee program of Korean Federation of Credit Guarantee Foundations (KOREG). To this end, by examining the previous research related to the economic value measurement of the data and intangible assets at home and abroad, we established the evaluation methods and conducted the empirical analysis. For the data value measurements in this paper, we used 'cost-based approach', 'revenue-based approach', and 'market-based approach'. In order to secure the reliability of the measured result of economic values generated through each approach, we conducted expert verification with the employees. Also, we derived the major considerations and issues in regards to the economic value measurement of the data. These will be able to contribute to the empirical methods for economic value measurement of the data in the future.

• 한국IT서비스학회지
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• 제21권5호
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• pp.1-13
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• 2022

With the rapid development of computer technology and communication networks in modern society, human economic activities in the almost every field of our society depend on various electronic devices. The huge amount of digital data generated in these circumstances is refined by technologies such as artificial intelligence and big data, and its value has become larger and larger. However, until now, it is the reality that the digital data has not been clearly defined as an economic asset, and the institutional criteria for expressing its value are unclear. Therefore, this study organizes the definition and characteristics of digital data, and examines the matters to be considered when considering digital data in terms of accounting assets. In addition, a method that can objectively measure the value of digital data was presented as a quantitative calculation model considering the time value of profits and costs.

• 스마트미디어저널
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• 제10권1호
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• pp.108-115
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• 2021

본 연구는 기업의 빅데이터 분석가들을 대상으로 빅데이터의 분석능력과 가치, 그리고 비즈니스 성과와의 관련성을 살펴보았다. 빅데이터가 가져올 수 있는 가치를 거래적 가치, 전략적 가치, 변혁적 가치, 정보적 가치로 분류하였고, 이러한 가치들이 비즈니스 성과로 연결되는 지를 검증하고자 하였다. 빅데이터 분석을 수행한 경험이 있는 직원들을 대상으로 200부의 설문을 수거하여 분석하였다. 구조방정식 모형으로 가설을 검정하였고, 빅데이터 분석능력은 빅데이터의 가치와 비즈니스 성과에 의미있는 영향력을 미치는 것으로 나타났다. 빅데이터 가치들 중에서 거래적 가치, 전략적 가치, 그리고 변혁적 가치는 비즈니스 성과에 긍정적인 영향을 미치지만, 정보적 가치의 영향은 입증되지 않았다. 본 연구의 결과는 빅데이터를 활용하여 비즈니스 성과를 얻으려는 기업들에게 유용한 정보를 제공할 수 있을 것으로 기대된다.

• 산업진흥연구
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• 제8권3호
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• pp.201-210
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• 2023

본 연구는 데이터 생태학 이론에 기초하여 중국 지방자치단체의 공개 공공 데이터를 연구 대상으로 삼았다. 데이터 자산가치 평가방법을 데이터 비즈니스 운영의 새로운 관점에서 비교하였다. 계층적 분석방법(AHP)을 사용한 평가 모형을 이용한 연구결과는 전통적인 비용, 수익 및 시장 방법보다 정부 개방형데이터 자산의 상업적 가치를 더 객관적으로 반영할 수 있었으며, 데이터 가치지수를 종합적으로 평가할 수 있다는 장점을 보여주었다. 그리고 지역 데이터 가치에 대한 종합적인 검색결과를 더 잘 반영되고 있었다. 자료를 보면 지방정부의 데이터 가치평가지수는 지역의 디지털 경제발전지수에 비례하여 디지털 경제에 대한 효과가 나타났다. 본 연구는 지방정부의 데이터 가치를 이해하는데 기여하였다. 이로 인하여 데이터 혁신 및 데이터 비즈니스 운영모델구축을 촉진하고, 사회복지를 개선하며, 데이터 실현을 위해 디지털 경제의 빠른 발전을 촉진하는 연구 및 실천하는 계기를 만들고자 하였다.

• International Journal of Internet, Broadcasting and Communication
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• 제13권2호
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• pp.218-223
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• 2021

The five elements of big data are said to be Volume, Variety, Velocity, Veracity, and Value. Among them, data lacking the Veracity of the data or fake data not only makes an error in decision making, but also hinders the creation of value. This study analyzed YouTube's revenue structure to focus the effect of data integrity on data valuation among these five factors. YouTube is one of the OTT service platforms, and due to COVID-19 in 2020, YouTube creators have emerged as a new profession. Among the revenue-generating models provided by YouTube, the process of generating advertising revenue based on click-based playback was analyzed. And, analyzed the process of subtracting the profits generated from invalid activities that not the clicks due to viewers' pure interests, then paying the final revenue. The invalid activity in YouTube's revenue structure is Raw Data, not pure viewing activity of viewers, and it was confirmed a direct impact on revenue generation. Through the analysis of this process, the new Data Value Chain was proposed.

• International Journal of Advanced Culture Technology
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• 제9권4호
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• pp.392-401
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• 2021

When a data file is shared through various methods on the Internet, the data file may be damaged in various cases. To prevent this, some websites provide the checksum value of the download target file in text data type. The checksum value provided in this way is then compared with the checksum value of the downloaded file and the published checksum value. If they are the same, the file is regarded as the same. However, the checksum value provided in text form is easily tampered with by an attacker. Because of this, if the correct checksum cannot be verified, the reliability and integrity of the data file cannot be ensured. In this paper, a checksum value is generated to ensure the integrity and reliability of a data file, and this value and related file information are stored in the blockchain. After that, we will introduce the research contents for designing and implementing a system that provides a function to share the checksum value stored in the block chain and compare it with other people's files.

• ETRI Journal
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• 제28권2호
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• pp.191-204
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• 2006

Many previous studies of data quality have focused on the realization and evaluation of both data value quality and data service quality. These studies revealed that poor data value quality and poor data service quality were caused by poor data structure. In this study we focus on metadata management, namely, data structure quality and introduce the data quality management maturity model as a preferred maturity model. We empirically show that data quality improves as data management matures.

• 대한의용생체공학회:의공학회지
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• 제16권3호
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• pp.271-278
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• 1995

An ECG data compression algorithM using max-min slope update is proposed and a real time 3 channel ECG transmission system is implemented using the proposed algorithm. In order to effectively compress ECG data, we compare a threshold value with the max-min slope difference (MMSD) which is updated at each sample values. If this MMSD value is smaller than the threshold value, then the data is compressed. Conversely, when the MMSD value is larger than threshold value, the data is transmitted after storing the value and the length between the data which is beyond previous threshold level. As a result, it can accurately compress both the region of QRS, P, and T wave that has fast-changing and the region of the base line that slope is changing slow. Therefore, it Is possible to enhance the compression rate and the percent roms difference. In addition, because of the simplicity, this algorithm is more suitable for real-time implementation.

• 한국멀티미디어학회논문지
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• 제24권6호
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• pp.768-788
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• 2021

The reversible data hiding technique safely transmits secret data to the recipient from malicious attacks by third parties. In addition, this technique can completely restore the image used as a transmission medium for secret data. The reversible data hiding schemes have been proposed in various forms, and recently, the reversible data hiding schemes based on interpolation are actively researching. The reversible data hiding scheme based on the interpolation method expands the original image into the cover image and embed secret data. However, the existing interpolation-based reversible data hiding schemes did not embed secret data during the interpolation process. To improve this problem, this paper proposes embedding the first secret data during the image interpolation process and embedding the second secret data into the interpolated cover image. In the embedding process, the original image is divided into blocks without duplicates, and the maximum and minimum values are determined within each block. Three way searching based on the maximum value and two way searching based on the minimum value are performed. And, image interpolation is performed while embedding the first secret data using the PVD scheme. A stego image is created by embedding the second secret data using the maximum difference value and log function in the interpolated cover image. As a result, the proposed scheme embeds secret data twice. In particular, it is possible to embed secret data even during the interpolation process of an image that did not previously embed secret data. Experimental results show that the proposed scheme can transmit more secret data to the receiver while maintaining the image quality similar to other interpolation-based reversible data hiding schemes.