Languages–independent text tokenization can aid in classification of languages with few sources.There is a global research effort to generate text classification for any language.Human text classification is a slow p...Languages–independent text tokenization can aid in classification of languages with few sources.There is a global research effort to generate text classification for any language.Human text classification is a slow procedure.Conse-quently,the text summary generation of different languages,using machine text classification,has been considered in recent years.There is no research on the machine text classification for many languages such as Czech,Rome,Urdu.This research proposes a cross-language text tokenization model using a Transformer technique.The proposed Transformer employs an encoder that has ten layers with self-attention encoding and a feedforward sublayer.This model improves the efficiency of text classification by providing a draft text classification for a number of documents.We also propose a novel Sub-Word tokenization model with frequent vocabulary usage in the documents.The Sub-Word Byte-Pair Tokenization technique(SBPT)utilizes the sharing of the vocabulary of one sentence with other sentences.The Sub-Word tokenization model enhances the performance of other Sub-Word tokenization models such pair encoding model by+10%using precision metric.展开更多
Digital assets have been introduced to the global market as one of the innovations with the potential.Even though their impact on the traditional economy is impossible to measure.Security tokens(ST)are the ones that s...Digital assets have been introduced to the global market as one of the innovations with the potential.Even though their impact on the traditional economy is impossible to measure.Security tokens(ST)are the ones that stand out due to the preference they have from producers and consumers.The former obtains financial resources efficiently for their specific projects.While the latter look for STs in global digital platforms of trust and security.Which are regulated by public securities sales offices.The research proposes a method under the fuzzy logic theory and its applied models.It highlights the use of the triangular fuzzy numbers,the Fuzzy Delfi,Expertons,Hamming Distance,and the fuzzy inference system(FIS).The benefits and limitations of the proposal were highlighted when the proposal was used in an agro-export company.The route or algorithm of the value system to be followed in the execution of the investments stands out.Therefore,the research fulfills its objective and is very useful for small and medium export 4.0 companies.Since they are eager to obtain cash flow to improve their technical efficiency and to be able to export their artifacts to global markets.That is to say,the producer of goods can obtain an unprecedented benefit in an agile and efficient way in the context of Industry 4.0.展开更多
The infrastructure finance gap has long-standing implications for economic and social development.Owing to low efficiency,high transaction costs,and long transaction time,conventional infrastructure financing instrume...The infrastructure finance gap has long-standing implications for economic and social development.Owing to low efficiency,high transaction costs,and long transaction time,conventional infrastructure financing instruments are considered to be major contributors to the increasing mismatch between the need for infrastructure development and available financing.Implemented through smart contracts,blockchain tokenization has shown characteristics that are poised to change the capital stack of infrastructure investment.This study analyzed the first SEC-compliant energy asset security token,Ziyen-Coin,from the perspective of the key participants,relevant regulations,and token offering procedures.Results show that tokenization can improve infrastructure assets liquidity,transaction efficiency,and transparency across intermediaries.Conventional infrastructure financing instruments were compared with blockchain tokenization by reviewing the literature on infrastructure finance.The benefits and barriers of tokenizing infrastructure assets were thoroughly discussed to devise ways of improving infrastructure financing.The study also found that the potential of tokenization has not yet been fully realized because of the limited technical infrastructures,regulation uncertainties,volatilities in the token market,and absence of the public sector.This study contributes to the present understanding of how blockchain technology can be implemented in infrastructure finance and the role of tokenization in the structure of public-private partnership and project finance.展开更多
Digital assets have boomed over the past few years with the emergence of Non-fungible Tokens(NFTs).To be specific,the total trading volume of digital assets reached an astounding$55.5 billion in 2022.Nevertheless,nume...Digital assets have boomed over the past few years with the emergence of Non-fungible Tokens(NFTs).To be specific,the total trading volume of digital assets reached an astounding$55.5 billion in 2022.Nevertheless,numerous security concerns have been raised by the rapid expansion of the NFT ecosystem.NFT holders are exposed to a plethora of scams and traps,putting their digital assets at risk of being lost.However,academic research on NFT security is scarce,and the security issues have aroused rare attention.In this study,the NFT ecological process is comprehensively explored.This process falls into five different stages encompassing the entire lifecycle of NFTs.Subsequently,the security issues regarding the respective stage are elaborated and analyzed in depth.A matrix model is proposed as a novel contribution to the categorization of NFT security issues.Diverse data are collected from social networks,the Ethereum blockchain,and NFT markets to substantiate our claims regarding the severity of security concerns in the NFT ecosystem.From this comprehensive dataset,nine key NFT security issues are identified from the matrix model and then subjected to qualitative and quantitative analysis.This study aims to shed light on the severity of NFT ecosystem security issues.The findings stress the need for increased attention and proactive measures to safeguard the NFT ecosystem.展开更多
This paper proposes a blockchain-based system as a secure, efficient, and cost-effective alternative to SWIFT for cross-border remittances. The current SWIFT system faces challenges, including slow settlement times, h...This paper proposes a blockchain-based system as a secure, efficient, and cost-effective alternative to SWIFT for cross-border remittances. The current SWIFT system faces challenges, including slow settlement times, high transaction costs, and vulnerability to fraud. Leveraging blockchain technology’s decentralized, transparent, and immutable nature, the proposed system aims to address these limitations. Key features include modular architecture, implementation of microservices, and advanced cryptographic protocols. The system incorporates Proof of Stake consensus with BLS signatures, smart contract execution with dynamic pricing, and a decentralized oracle network for currency conversion. A sophisticated risk-based authentication system utilizes Bayesian networks and machine learning for enhanced security. Mathematical models are presented for critical components, including transaction validation, currency conversion, and regulatory compliance. Simulations demonstrate potential improvements in transaction speed and costs. However, challenges such as regulatory hurdles, user adoption, scalability, and integration with legacy systems must be addressed. The paper provides a comparative analysis between the proposed blockchain system and SWIFT, highlighting advantages in transaction speed, costs, and security. Mitigation strategies are proposed for key challenges. Recommendations are made for further research into scaling solutions, regulatory frameworks, and user-centric designs. The adoption of blockchain-based remittances could significantly impact the financial sector, potentially disrupting traditional models and promoting financial inclusion in underserved markets. However, successful implementation will require collaboration between blockchain innovators, financial institutions, and regulators to create an enabling environment for this transformative system.展开更多
Web3,also known as Web 3.0,has recently been attracting increasing attention from industry and academia.Leveraging the potential of blockchain technologies,Web3 has emerged as a pivotal foundation in the realm of meta...Web3,also known as Web 3.0,has recently been attracting increasing attention from industry and academia.Leveraging the potential of blockchain technologies,Web3 has emerged as a pivotal foundation in the realm of metaverse development,which is considered by many as the next-generation Internet.Specifically,Web3 technologies such as smart contracts and protocols like non-fungible tokens(NFTs)have supported the immersive and content-rich experience of current Web3 metaverse projects.展开更多
To better understand the potential and limitations of the tokenization of real asset mar-kets,empirical studies need to examine this radically new organization of financial mar-kets.In our study,we examine the financi...To better understand the potential and limitations of the tokenization of real asset mar-kets,empirical studies need to examine this radically new organization of financial mar-kets.In our study,we examine the financial and economic consequences of tokenizing 58 residential rental properties in the US,particularly those in Detroit.Tokenization aims at fragmented ownership.We found that the residential properties examined have 254 owners on average.Investors with a greater than USD 5,000 investment in real estate tokens,diversify their real estate ownership across properties within and across the cities.Property ownership changes about once yearly,with more changes for proper-ties on decentralized exchanges.We report that real estate token prices move accord-ing to the house price index;hence,investing in real estate tokens provides economic exposure to residential house prices.展开更多
The aims of this study were threefold:1)study the research gap in carpark and price index via big data and natural language processing,2)examine the research gap of carpark indices,and 3)construct carpark price indice...The aims of this study were threefold:1)study the research gap in carpark and price index via big data and natural language processing,2)examine the research gap of carpark indices,and 3)construct carpark price indices via repeat sales methods and predict carpark indices via the AutoML.By researching the keyword“carpark”in Google Scholar,the largest electronic academic database that coversWeb of Science and Scopus indexed articles,this study obtained 999 articles and book chapters from 1910 to 2019.It confirmed that most carpark research threw light on multi-storey carparks,management and ventilation systems,and reinforced concrete carparks.The most common research method was case studies.Regarding price index research,many previous studies focused on consumer,stock,press and futures,with many keywords being related to finance and economics.These indicated that there is no research predicting carpark price indices based on an AutoML approach.This study constructed repeat sales indices for 18 districts in Hong Kong by using 34,562 carpark transaction records from December 2009 to June 2019.Wanchai’s carpark price was about four times that of Yuen Long’s carpark price,indicating the considerable carpark price differences inHong Kong.This research evidenced the features that affected the carpark price indices models most:gold price ranked the first in all 19 models;oil price or Link stock price ranked second depending on the district,and carpark affordability ranked third.展开更多
基金funded by Princess Nourah bint Abdulrahman University Researchers Supporting Project number(PNURSP2022R113),Princess Nourah bint Abdulrahman University,Riyadh,Saudi Arabia.
文摘Languages–independent text tokenization can aid in classification of languages with few sources.There is a global research effort to generate text classification for any language.Human text classification is a slow procedure.Conse-quently,the text summary generation of different languages,using machine text classification,has been considered in recent years.There is no research on the machine text classification for many languages such as Czech,Rome,Urdu.This research proposes a cross-language text tokenization model using a Transformer technique.The proposed Transformer employs an encoder that has ten layers with self-attention encoding and a feedforward sublayer.This model improves the efficiency of text classification by providing a draft text classification for a number of documents.We also propose a novel Sub-Word tokenization model with frequent vocabulary usage in the documents.The Sub-Word Byte-Pair Tokenization technique(SBPT)utilizes the sharing of the vocabulary of one sentence with other sentences.The Sub-Word tokenization model enhances the performance of other Sub-Word tokenization models such pair encoding model by+10%using precision metric.
文摘Digital assets have been introduced to the global market as one of the innovations with the potential.Even though their impact on the traditional economy is impossible to measure.Security tokens(ST)are the ones that stand out due to the preference they have from producers and consumers.The former obtains financial resources efficiently for their specific projects.While the latter look for STs in global digital platforms of trust and security.Which are regulated by public securities sales offices.The research proposes a method under the fuzzy logic theory and its applied models.It highlights the use of the triangular fuzzy numbers,the Fuzzy Delfi,Expertons,Hamming Distance,and the fuzzy inference system(FIS).The benefits and limitations of the proposal were highlighted when the proposal was used in an agro-export company.The route or algorithm of the value system to be followed in the execution of the investments stands out.Therefore,the research fulfills its objective and is very useful for small and medium export 4.0 companies.Since they are eager to obtain cash flow to improve their technical efficiency and to be able to export their artifacts to global markets.That is to say,the producer of goods can obtain an unprecedented benefit in an agile and efficient way in the context of Industry 4.0.
文摘The infrastructure finance gap has long-standing implications for economic and social development.Owing to low efficiency,high transaction costs,and long transaction time,conventional infrastructure financing instruments are considered to be major contributors to the increasing mismatch between the need for infrastructure development and available financing.Implemented through smart contracts,blockchain tokenization has shown characteristics that are poised to change the capital stack of infrastructure investment.This study analyzed the first SEC-compliant energy asset security token,Ziyen-Coin,from the perspective of the key participants,relevant regulations,and token offering procedures.Results show that tokenization can improve infrastructure assets liquidity,transaction efficiency,and transparency across intermediaries.Conventional infrastructure financing instruments were compared with blockchain tokenization by reviewing the literature on infrastructure finance.The benefits and barriers of tokenizing infrastructure assets were thoroughly discussed to devise ways of improving infrastructure financing.The study also found that the potential of tokenization has not yet been fully realized because of the limited technical infrastructures,regulation uncertainties,volatilities in the token market,and absence of the public sector.This study contributes to the present understanding of how blockchain technology can be implemented in infrastructure finance and the role of tokenization in the structure of public-private partnership and project finance.
文摘Digital assets have boomed over the past few years with the emergence of Non-fungible Tokens(NFTs).To be specific,the total trading volume of digital assets reached an astounding$55.5 billion in 2022.Nevertheless,numerous security concerns have been raised by the rapid expansion of the NFT ecosystem.NFT holders are exposed to a plethora of scams and traps,putting their digital assets at risk of being lost.However,academic research on NFT security is scarce,and the security issues have aroused rare attention.In this study,the NFT ecological process is comprehensively explored.This process falls into five different stages encompassing the entire lifecycle of NFTs.Subsequently,the security issues regarding the respective stage are elaborated and analyzed in depth.A matrix model is proposed as a novel contribution to the categorization of NFT security issues.Diverse data are collected from social networks,the Ethereum blockchain,and NFT markets to substantiate our claims regarding the severity of security concerns in the NFT ecosystem.From this comprehensive dataset,nine key NFT security issues are identified from the matrix model and then subjected to qualitative and quantitative analysis.This study aims to shed light on the severity of NFT ecosystem security issues.The findings stress the need for increased attention and proactive measures to safeguard the NFT ecosystem.
文摘This paper proposes a blockchain-based system as a secure, efficient, and cost-effective alternative to SWIFT for cross-border remittances. The current SWIFT system faces challenges, including slow settlement times, high transaction costs, and vulnerability to fraud. Leveraging blockchain technology’s decentralized, transparent, and immutable nature, the proposed system aims to address these limitations. Key features include modular architecture, implementation of microservices, and advanced cryptographic protocols. The system incorporates Proof of Stake consensus with BLS signatures, smart contract execution with dynamic pricing, and a decentralized oracle network for currency conversion. A sophisticated risk-based authentication system utilizes Bayesian networks and machine learning for enhanced security. Mathematical models are presented for critical components, including transaction validation, currency conversion, and regulatory compliance. Simulations demonstrate potential improvements in transaction speed and costs. However, challenges such as regulatory hurdles, user adoption, scalability, and integration with legacy systems must be addressed. The paper provides a comparative analysis between the proposed blockchain system and SWIFT, highlighting advantages in transaction speed, costs, and security. Mitigation strategies are proposed for key challenges. Recommendations are made for further research into scaling solutions, regulatory frameworks, and user-centric designs. The adoption of blockchain-based remittances could significantly impact the financial sector, potentially disrupting traditional models and promoting financial inclusion in underserved markets. However, successful implementation will require collaboration between blockchain innovators, financial institutions, and regulators to create an enabling environment for this transformative system.
文摘Web3,also known as Web 3.0,has recently been attracting increasing attention from industry and academia.Leveraging the potential of blockchain technologies,Web3 has emerged as a pivotal foundation in the realm of metaverse development,which is considered by many as the next-generation Internet.Specifically,Web3 technologies such as smart contracts and protocols like non-fungible tokens(NFTs)have supported the immersive and content-rich experience of current Web3 metaverse projects.
文摘To better understand the potential and limitations of the tokenization of real asset mar-kets,empirical studies need to examine this radically new organization of financial mar-kets.In our study,we examine the financial and economic consequences of tokenizing 58 residential rental properties in the US,particularly those in Detroit.Tokenization aims at fragmented ownership.We found that the residential properties examined have 254 owners on average.Investors with a greater than USD 5,000 investment in real estate tokens,diversify their real estate ownership across properties within and across the cities.Property ownership changes about once yearly,with more changes for proper-ties on decentralized exchanges.We report that real estate token prices move accord-ing to the house price index;hence,investing in real estate tokens provides economic exposure to residential house prices.
文摘The aims of this study were threefold:1)study the research gap in carpark and price index via big data and natural language processing,2)examine the research gap of carpark indices,and 3)construct carpark price indices via repeat sales methods and predict carpark indices via the AutoML.By researching the keyword“carpark”in Google Scholar,the largest electronic academic database that coversWeb of Science and Scopus indexed articles,this study obtained 999 articles and book chapters from 1910 to 2019.It confirmed that most carpark research threw light on multi-storey carparks,management and ventilation systems,and reinforced concrete carparks.The most common research method was case studies.Regarding price index research,many previous studies focused on consumer,stock,press and futures,with many keywords being related to finance and economics.These indicated that there is no research predicting carpark price indices based on an AutoML approach.This study constructed repeat sales indices for 18 districts in Hong Kong by using 34,562 carpark transaction records from December 2009 to June 2019.Wanchai’s carpark price was about four times that of Yuen Long’s carpark price,indicating the considerable carpark price differences inHong Kong.This research evidenced the features that affected the carpark price indices models most:gold price ranked the first in all 19 models;oil price or Link stock price ranked second depending on the district,and carpark affordability ranked third.
