1,721,225 research outputs found
A Petri net-based model for investigating disposable addresses in Bitcoin system
The most Bitcoin users are very careful about keeping their anonymity. In this work we investigate the use of disposable addresses, a very common method adopted by users to protect their identity and propose a method to recognize these addresses, We applied it on the first 180,000 blocks of the Bitcoin Blockchain. Results highlighted that a large part of Bitcoin transactions involves disposable addresses. Further, they showed that many of these transactions form chains whose length is characterized by a power-law distribution
Topics Analysis and Trends on Blockchain Applications in the Energy Sector
Blockchain technology is increasingly finding its way into application areas as it offers major improvements in efficiency, security, and transparency in a wide range of activities. Among others, blockchain has enormous potential for influence in the energy sector, particularly in the field of renewable energy. This paper analyzes the most interesting applications of this technology in the energy sector from the topics most discussed on technical forums. Specifically, this study seeks to identify and examine the most discussed topics through a topic analysis on a dataset of articles extracted from CoinDesk. It is proposed, from these texts, to identify important topics related to energy markets, energy communities, energy traceability, and energy certification. The results were obtained using a Bidirectional Encoder Representations from Transformers (BERT) model for deep topic analysis. BERT provides detailed insight into blockchain technology and renewable energy discussions using natural language processing to extract latent topics and trends. This research attempts to contribute to the existing knowledge set by offering a systematic analysis of the most important topics in the application of blockchain to the energy sector. The results of this study can help technologists identify the interests of the community and foster progress in integrating blockchain into the renewable energy paradigm
A Blockchain-Based Decentralized System for Proper Handling of Temporary Employment Contracts
Temporary work is an employment situation useful and suitable in all occasions in which business needs to adjust more easily and quickly to workload fluctuations or maintain staffing flexibility. Temporary workers play therefore, an important role in many companies, but this kind of activity is subject to a special form of legal protections and many aspects and risks must be taken into account for both employers and employees. In this work, we propose a blockchain-based system that aims to ensure respect for the rights for all actors involved in a temporary employment, in order to provide employees with the fair and legal remuneration (including taxes) of work performances and a protection in the case employer becomes insolvent. At the same time, our system wants to assist the employer in processing contracts with a fully automated and fast procedure. To resolve these problems, we propose the D-ES (Decentralized Employment System). We first model the employment relationship as a state system. Then we describe the enabling technology that makes us able to realize the D-ES. In fact, we propose the implementation of a DLT (Decentralized Ledger Technology) based system, consisting in a blockchain system and of a web-based environment. Thanks to the decentralized application platforms that makes us able to develop smart contracts. We define a discrete event control system that works inside the blockchain. In addition, we discuss the temporary work in agriculture as a interesting case of study
On the use of Petri Nets in Smart Contracts modeling, generation and verification
We discuss the contribution of the Petri net formalism to the BOSE for Smart Contract design and development. We address this discussion based on the analysis of recently published literature works we obtained by querying Scopus and Google Scholar. Different types of Petri nets, including coloured Petri nets and workflow nets, and different types of tools emerge from our analysis. Our discussion includes the classification into three categories of application of the Petri net formalism in the design and development of Smart Contracts, namely modeling, generation, and verification
Opportunities and challenges of Blockchain-Oriented systems in the tourism industry
The tourism industry is increasingly influenced by the evolution of information and communication technologies (ICT), which are revolutionizing the way people travel. In this work we want to investigate the use of innovative IT technologies by DMOs (Destination Management Organizations), focusing on blockchain technology, both from the point of view of research in the field, and in the study of the most relevant software projects. In particular, we intend to verify the benefits offered by these IT tools in the management and monitoring of a destination, without forgetting the implications for the other stakeholders involved. These technologies, in fact, can offer a wide range of services that can be useful throughout the life cycle of the destination
Going Beyond Counting First Authors in Author Co-citation Analysis
The 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
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