1,721,370 research outputs found
Blockchain in Agri-Food Traceability Systems: A Model Proposal for a Typical Italian Food Product
No full textControlling the product quality in food industry throughout its supply chain is today one of the most challenges in the world especially when it comes to typical food products. In recent years, various companies are trying to experiment with joint use of Blockchain and Radio Frequency Identification technologies to solve problems in scenarios where numerous untrusted actors get involved. Blockchain is gaining increasing popularity as a technology to enable product traceability in a certified and immutable way from the farm to the fork of food products and to avoid fraud and counterfeiting by guaranteeing trusted, transparent and shared information in the agri-food supply-chain. By combining smart contracts, Interplanetary File System and Internet of Things technologies, this paper tries to address these issues and presents a proposal of an implementation model for the supply chain management of a typical Italian food product - Carasau bread. The main goal of the model proposal is to guarantee and certify a transparent, secure and auditable traceability in such a way each actor of the supply chain can verify the quality of the product
Going Beyond Counting First Authors in Author Co-citation Analysis
Full text linkThe present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
A Blockchain Oriented Software Application in the Revised Payments Service Directive context
No full textThe new European Payments Service Directive (Directive (EU) 2015/2366) introduces a novelty for users of online accounts: the possibility of accessing their own bank statements or making payment transactions directly through software created by Third Party Providers. The new players authorized by the directive represent the real novelty with respect to the previous one (Directive 2007/64/CE), and introduce for the first time a strong risk of disintegration between the Bank and its customers. New authorized parties include the Account Servicing Payment Service Provider, the Payment Initiation Service Provider and the Account Information Service Provider. This new mechanism for accessing information on personal bank statements or for the payment will stimulate a remodeling of the offers for customers. In this work a first attempt to implement a service of account information and a service of account storing through a blockchain oriented software application is presented
Stato attuale della presenza di ungulati selvatici nel territorio appenninico della provincia di Alessandria.
No full textBesu vs. Quorum: Comparative Analysis in the Context of Simulated Energy Communities
Full text linkThis paper presents a comparative analysis of two private blockchains, Besu and Quorum, both built on the Ethereum Virtual Machine (EVM) in order to manage the simulated production, consumption and exchange of energy in the context of a Renewable Energy Community (REC).
The research focuses on simulating energy production through photovoltaic panels within a community, utilizing energy storage systems. The simulated data serve as input for two private blockchains, leveraging smart contracts to transform the simulated energy production into tokens. The study further explores the simulation of tokenized energy transactions, encompassing buying and selling within the energy community. The final phase
involves a comprehensive comparison of Besu and Quorum, evaluating their computational resource usage and
performance metrics.
The findings contribute to the comprehension of blockchain technologies within energy communities, offering valuable insights into the efficiency and suitability of BESU and QUORUM for tokenized energy transactions. Our research confirms that simulating an energy community scenario with 20 producers, trading energy via tokens, demonstrates no performance gap in terms of TPS and RPS between the two blockchains. However, at larger scales, Quorum appears to outperform Besu in terms of both TPS and RPS efficiency
Predictions of bitcoin prices through machine learning based frameworks
Full text linkThe high volatility of an asset in financial markets is commonly seen as a negative factor. However short-term trades may entail high profits if traders open and close the correct positions. The high volatility of cryptocurrencies, and in particular of Bitcoin, is what made cryptocurrency trading so profitable in these last years. The main goal of this work is to compare several frameworks each other to predict the daily closing Bitcoin price, investigating those that provide the best performance, after a rigorous model selection by the so-called k-fold cross validation method. We evaluated the performance of one stage frameworks, based only on one machine learning technique, such as the Bayesian Neural Network, the Feed Forward and the Long Short Term Memory Neural Networks, and that of two stages frameworks formed by the neural networks just mentioned in cascade to Support Vector Regression. Results highlight higher performance of the two stages frameworks with respect to the correspondent one stage frameworks, but for the Bayesian Neural Network. The one stage framework based on Bayesian Neural Network has the highest performance and the order of magnitude of the mean absolute percentage error computed on the predicted price by this framework is in agreement with those reported in recent literature works
Variations on the Author
Full text link“Variations on the Author” discusses two of Eduardo Coutinho’s recent films (Um Dia na Vida, from 2010, and Últimas Conversas, posthumously released in 2015) and their contribution to the general question of documentary authorship. The director’s filmography is characterized by a consistent yet self-effacing form of authorial self-inscription: Coutinho often features as an interviewer that rather than express opinions propels discourses; an interviewer that is good at listening. This mode of self-inscription characterizes him as an author who is not expressive but who is nonetheless markedly present on the screen. In Um Dia na Vida, however, Coutinho is completely absent form the image, while Últimas Conversas, on the contrary, includes a confessional prologue that moves the director from the margins to the center of his films. This article examines the ways in which these works stand out in the filmography of a director who offers new insights into the notion of cinematic authorship
Appropriate Similarity Measures for Author Cocitation Analysis
Full text linkWe provide a number of new insights into the methodological discussion about author cocitation analysis. We first argue that the use of the Pearson correlation for measuring the similarity between authors’ cocitation profiles is not very satisfactory. We then discuss what kind of similarity measures may be used as an alternative to the Pearson correlation. We consider three similarity measures in particular. One is the well-known cosine. The other two similarity measures have not been used before in the bibliometric literature. Finally, we show by means of an example that our findings have a high practical relevance.information science;Pearson correlation;cosine;similarity measure;author cocitation analysis
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