Blockchain Papers

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35 papersLast indexed Aug 31, 2026
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Feb 1, 2021ยทThe Journal of International Scientific Researches
3 cites
Identification of the Variables Effecting the Value of the Cryptocurrency

Necip ฤฐhsan Arฤฑkan

Technically cryptocurrencies often have Distributed Ledger Technology (DLT) and encryption based on infrastructure called blockchain that allows all nodes to verify the validity of a transaction. In terms of monetary theory, cryptocurrencies are currently the most developed virtual currencies that cannot perform all the basic functions of money such as the account, exchange and capital accumulation.The price of cryptocurrency is based on supply and demand, without an intervention of a central authority. Dynamics that affect the value of cryptocurrencies can be classified as internal and external variables. The internal dynamics of cryptocurrencies have been examined under the headings of economic infrastructure and technological infrastructure. External factors that are effective in determining the value are observed as popularity, security, volume, inflation, tax, crypto exchange accidents, perception, speculations / manipulations and news.

Open access
2 source records
Blockchain Technology Applications and Security
Market Dynamics and Volatility
Economic and Technological Innovation
Original source
Mar 31, 2020ยทInternational Journal of Engineering Applied Sciences and Technology
0 cites
DESIGN AND DEVELOP CERTIFICATE VALIDATION SYSTEM USING SMART CONTRACT

Ashwini Bacholkar, Vaibhavi Shinde, Komal Sonawane, Rohit Jagtap ยท 5 authors

Blockchain is a developing innovation that can possibly reform the worldwide business and make a confided in relationship in a multi-party business organize. Square chain is one of the steadiest open records that jelly exchange data, and is hard to produce. Since, the data put away in square chain is not identified with by and by recognizable data, it has the attributes of namelessness. There are various reasonable use situations where blockchain has been applied. All through the instructive course, students get different sort of execution certificates, score transcripts, marksheets and so on which can turn into a critical ascribe for having admissions to new schools or new works. Because of hostile to manufacture mechanism, its simple to make fraud documents. So, as to take care of the issue of falsifying testaments, the advanced authentication framework dependent on blockchain innovation would be proposed. By the unmodifiable property of blockchain, the computerized authentication with hostile to fake and unquestionable status could be made. Through the unmodifiable properties of the blockchain, the framework not just improves the believability of different paper-based endorsements, yet additionally electronically decreases the misfortune dangers of different sorts of authentications.

Open access
2 source records
Impact of AI and Big Data on Business and Society
Big Data and Business Intelligence
Customer churn and segmentation
Original source
Sep 24, 2019ยทAsian Academy of Management Journal of Accounting and Finance
3 cites
Structural Change Analysis of Active Cryptocurrency Market

Chia Yen Tan, You Beng Koh, Kok Haur Ng, Kooi Huat Ng

Motivated by the large frequent price fluctuation and excessive volatility observed in the cryptocurrency market, this study adopts Bai and Perronโ€™s structural change model by incorporating the trading volume and autoregressive variables to examine the number and location of change points in daily closing price, return and volatility proxied by the squared return of Cryptocurrency Index, Cryptocurrency Index 30, and the top 10 cryptocurrencies ranked according to market capitalisation. Results show that the structural changes occur very frequently for the price series, followed by squared return and return series which were consistently observed between December 2017 to April 2018. In addition, the results also reveal that the two cryptocurrency indices may not be beneficial as an indicator to reflect the whole cryptocurrency market for the entire studied period as these two indices do not display consistent structural change in contrast to the top 10 cryptocurrencies that might have significant implications for modelling the cryptocurrency data.

Open access
2 source records
q-fin.ST
econ.EM
stat.AP
Original source
May 1, 2019ยทRevue d intelligence artificielle
26 cites
Avoiding Interoperability and Delay in Healthcare Monitoring System Using Block Chain Technology

V. Lakshman Narayana, Arepalli Peda Gopi, Kosaraju Chaitanya

Blockchain is using in every aspect now because of its distributed ledger which is immutable. It provides the information to the users directly without any third party involvement. It mediates the transactions directly between the interacting parties securely. It also eliminates the friction and also the cost of current intermediaries. It is now using in healthcare system to provide the interoperability, security, decentralization and other. EMR is presently using in healthcare which has some issues. The issues in healthcare are patient cannot access the data of his/her own health information. So by this healthcare has issues like interoperability and delay in communication and some other. These issues can be solved by using the Blockchain in healthcare. By this Blockchain provide security by giving the patients to access their own data rather than provider.

Open access
Big Data and Business Intelligence
Artificial Intelligence in Healthcare
Customer churn and segmentation
Original source
Feb 22, 2019ยทProceedings of the 20th International Workshop on Mobile Computing Systems and Applications
5 cites
CryptoCurrency Mining on Mobile as an Alternative Monetization Approach

Sinh Huynh, Kenny Tsu Wei Choo, Rajesh Krishna Balan, Youngki Lee

Can cryptocurrency mining (crypto-mining) be a practical ad-free monetization approach for mobile app developers? We conducted a lab experiment and a user study with 228 real Android users to investigate different aspects of mobile crypto-mining. In particular, we show that mobile devices have computational resources to spare and that these can be utilized for crypto-mining with minimal impact on the mobile user experience. We also examined the profitability of mobile crypto-mining and its stability as compared to mobile advertising. In many cases, the profit of mining can exceed mobile advertising's. Most importantly, our study shows that the majority (72%) of the participants are willing to allow crypto-mining as means to replace ads to trade-off for benefits such as a better user experience.

Open access
Big Data and Business Intelligence
Customer churn and segmentation
Spam and Phishing Detection
Original source
Jan 1, 2019ยทInternational Journal of Big Data Management
78 cites
The use of data-driven technologies for customer-centric marketing

Mark Anthony Camilleri

The latest technologies are shifting how businesses capture, analyse and distribute data from the individual users' online activity. Therefore, this contribution critically reviews the latest developments on big data analytics and programmatic advertising. Moreover, it sheds light on the use of blockchain; as this distributed ledger technology provides secure, verified transactions among marketplace stakeholders. The findings suggest that the service providers are increasingly utilising data-driven technologies including programmatic advertising tools to target and re-target individuals online or on their mobile. However, individuals and organisations are becoming increasingly aware on data protection issues, as they often block marketers from tracking them and serving them ads. In conclusion, this contribution puts forward a theoretical framework that explains how, why, where and when practitioners are capturing, analysing and distributing data. In sum, it implies that the data-driven technologies are facilitating the businesses' customer-centric marketing.

Open access
3 source records
Big Data and Business Intelligence
Digital Marketing and Social Media
Customer churn and segmentation
Original source
Apr 30, 2018ยทThe Korean Data Analysis Society
4 cites
Big Data Analysis of Cryptocurrencies : Evidence from Top Cryptocurrency Websites

Han Woo Park, Sejung Park

์ด ์—ฐ๊ตฌ๋Š” ์›น๋ณด๋ฉ”ํŠธ๋ฆญ์Šค ๋น…๋ฐ์ดํ„ฐ ๊ธฐ๋ฒ•์„ ํ™œ์šฉํ•œ ์•”ํ˜ธํ™”ํ ์˜จ๋ผ์ธ ์˜ํ–ฅ๋ ฅ์„ ์กฐ์‚ฌํ–ˆ๋‹ค. ๊ตฌ์ฒด์ ์œผ๋กœ 2017๋…„ 12์›” ์‹œ๊ฐ€์ด์•ก ํ†ฑ50๊ฐœ ํ™”ํ๋ฅผ ๋Œ€์ƒ์œผ๋กœ ์˜จ๋ผ์ธ์—ฐ๊ฒฐ๋ง์„ ์ธก์ •ํ–ˆ๋‹ค. ์›น๋ณด๋ฉ”ํŠธ๋ฆญ์Šค์— ๊ธฐ๋ฐ˜ํ•œ ๋น…๋ฐ์ดํ„ฐ ๋ถ„์„์„ ์‹ค์‹œํ•ด ์•”ํ˜ธํ™”ํ ํ™ˆํŽ˜์ด์ง€์™€ ์—ฐ๊ฒฐ๋œ ์™ธ๋ถ€๋งํฌ๋ฅผ ์กฐ์‚ฌํ•˜์—ฌ ๊ฐ ์•”ํ˜ธํ™”ํ์˜ ๋Œ€์ค‘์  ์ธ์ง€๋„๋ฅผ ํŒŒ์•…ํ•˜๊ณ , ๋‚˜์•„๊ฐ€ ์•”ํ˜ธํ™”ํ๋“ค์˜ ๊ด€๊ณ„์  ํŠน์„ฑ์„ ๋ถ„์„ํ–ˆ๋‹ค. ์—ฐ๊ตฌ๊ฒฐ๊ณผ bitcoin.org, bitcoin.com, steemit.com์˜ ์˜จ๋ผ์ธ ์˜ํ–ฅ๋ ฅ์ด ๊ฐ€์žฅ ๊ฐ•ํ•œ ๊ฒƒ์œผ๋กœ ๋‚˜ํƒ€๋‚ฌ๋‹ค. ํŠนํžˆ steemit.com์ด ์™ธ๋ถ€๋กœ๋ถ€ํ„ฐ์˜ ๋งํฌ ์ˆ˜๊ฐ€ ๊ฐ€์žฅ ๋งŽ์•˜์œผ๋ฉฐ ์ƒํ˜ธ๋งํฌ ๊ด€๊ณ„๋ง์—์„œ ์ค‘๊ฐœ์ž์˜ ์œ„์น˜๋ฅผ ์ ํ•˜๊ณ  ์žˆ์—ˆ๋‹ค. bitcoin.org์€ ์™ธํ–ฅ์ค‘์‹ฌ์„ฑ ๊ฐ’์ด ๊ฐ€์žฅ ๋†’๊ฒŒ ๋‚˜ํƒ€๋‚˜ ์ ๊ทน์ ์ธ ์ •๋ณด์ „์†ก์ž๋กœ ์ž๋ฆฌ๋งค๊น€ํ•˜๊ณ  ์žˆ๋Š” ๋ฐ˜๋ฉด bitcoin.com์€ ๋‚ดํ–ฅ์ค‘์‹ฌ์„ฑ์—์„œ 1๋“ฑ์„ ์ฐจ์ง€ํ•˜๋ฉด์„œ ๊ถŒ์œ„์  ์ •๋ณดํ—ˆ๋ธŒ๋กœ์„œ ๊ธฐ๋Šฅํ•˜๊ณ  ์žˆ์Œ์„ ๋ฐœ๊ฒฌํ–ˆ๋‹ค. ๋‚˜์•„๊ฐ€ ์‚ฌํšŒ์—ฐ๊ฒฐ๋ง ์ง€ํ‘œ์™€ ์™€์ด์Šค(Weiss) ํ‰๊ฐ€์ ์ˆ˜์™€์˜ ํ†ต๊ณ„์  ์ƒ๊ด€์„ฑ์„ ๋ฐœ๊ฒฌํ•˜์—ฌ ๋น…๋ฐ์ดํ„ฐ ๋ถ„์„์ด ์‹œ์žฅ ์˜ˆ์ธก๋„ ๊ฐ€๋Šฅํ•˜๋‹ค๋Š” ๊ฒƒ์„ ์‹œ์‚ฌํ•œ๋‹ค. ์•”ํ˜ธํ™”ํ๋ฅผ ๋‘˜๋Ÿฌ์‹ผ ์ •๋ถ€๊ทœ์ œ๊ฐ€ ๊ณ„๋Ÿ‰ํ™”๋œ ๋ฐ์ดํ„ฐ ์—†์ด ์ฃผ๊ด€์  ๋น„ํ‰๊ณผ ์ •์„ฑ์  ์ธก๋ฉด์—์„œ ์ ‘๊ทผ๋˜๋ฉด์„œ ๋…ผ๋ž€์ด ์žˆ๋Š” ๊ฐ€์šด๋ฐ, ์ด ๋…ผ๋ฌธ์€ ์•”ํ˜ธํ™”ํ์˜ ํ˜„ํ™ฉ์„ ์›น๋ณด๋ฉ”ํŠธ๋ฆญ์Šค ๋ฐฉ๋ฒ•์œผ๋กœ ์ธก์ •ํ•˜์—ฌ ์ •์ฑ…์ง€์›์˜ ๊ณผํ•™์  ์ˆ˜๋‹จ์„ ์ œ๊ณตํ•œ๋‹ค.This study explored presence and influence of cryptocurrencies on the web. A network of top 50 cryptocurrencies in terms of market capitalization was mapped on December 12, 2017. Webometric analytics was conducted to examine online presence and influence of each cryptocurrency as well as the relations between cryptocurrencies by tracing the external links from each site. The results suggest that bitcoin.org, bitcoin.com and steemit.com were the most influential sites based on the number of hit counts. Interestingly, steemit.com received the largest amount of links from other sites and bridged the sites of the other cryptocurrencies in the network. It is noteworthy that bitcoin.org with the highest outdegree centrality played a role as an active informant while bitcoin.com with the highest indegree centrality was a hub in the network. This study also found positive correlations between the results of Weiss ratings and key social network analysis indicators, including hit counts, Betweeness centrality, Out2Step, OutARD, InARD and 2StepBet. The result implies that webometric analytics is useful to predict a market. This data-driven approach to online influence and presence of cryptocurrencies is valuable to policy-makers who continue to debate about the societal impact and the regulations of cryptocurrencies.

Technology and Data Analysis
Big Data Technologies and Applications
Customer churn and segmentation
Original source
Dec 1, 2008ยทCSUN ScholarWorks (California State University, Northridge)
0 cites
Investment Betting Algorithm

Jarrod Long

All bettors, including the ???House,??? experience losing streaks and winning streaks. The House typically has a ???bankroll??? that is orders of magnitude larger than that of any individual bettor, and so can survive losing streaks without going bankrupt, thus remaining solvent long enough to win. Online wagering provides a new twist to this age-old scenario. We use elementary mathematical principles together with the idea of a virtual infinite sample size and the elimination of time as a constraint to develop a fail-proof system that generates the greatest possible exponential growth of capital. Let ?? (stake) be the amount you wish to invest or wager each time and ?? (return) be your return or odds on a proposition. Let n (number) be the sum of consecutive loosing investments or number of times you can loose on an identical proposition before depleting a specified amount of investment capital called ?? ( bankroll). The resultant equation, which I call the: Investment Betters Algorithm (click on thesis to view)
\nprovides the answer to remaining solvent long enough to outlast the irrationality of the simulated online ??? wagers open market ??? through a geometric progression. The augmented bankroll ?? , calculated slightly higher than the typical sum of the Geometric Series, can serve as a safeguard to capital ruin by it extreme disproportion to. Consider further the expected value of even money propositions, a virtual infinite sample size, and the elimination of time as a constraint and you have a no fail system to generate the greatest progressive exponential growth of capital. Current problems associated with financial return optimization algorithms are identified and discussed. Probable solutions to those problems are also prescribed along with improvements to diversified portfolio design.

Open access
Big Data Technologies and Applications
Big Data and Business Intelligence
Customer churn and segmentation
Original source