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395 results · page 2 of 17
Yuxin Du, Takeshi Fujiwara, Habuer, Yue Zhou · 5 authors
No abstract is available for this record.
A. Nieto
No abstract is available for this record.
Feng Chen, Chunjiang Zhao, Xinting Yang, Na Luo · 5 authors
Agri-food safety issues have received widespread attention globally. The emergence of blockchain technology (BCT) effectively addresses trust issues in the agri-food supply chain traceability system (AFSCTS). However, the append-only feature of blockchain has led to continuous linear data growth in BCT-based AFSCTSs, which increases the equipment requirements and has become a bottleneck for BCT-based AFSCTS applications. The storage capacity required by BCT-based AFSCTSs can be effectively reduced by deleting expired data, thereby reducing the storage pressure on blockchain devices and lowering the device requirements. In this paper, we propose an AFSCTS architecture that incorporates redactable blockchain and InterPlanetary file system (IPFS) technologies to achieve traceability with low storage pressure, using the wheat supply chain as a proof of concept. Firstly, the key links were analyzed in agri-food traceability and the demand was proposed for agri-food blockchain traceability based on the timeliness of traceability data. Secondly, a lightweight accountable parallel blockchain architecture called LAP-chain is proposed. This architecture utilizes redactable blockchain technology to offload expired agri-food traceability data to IPFS, thereby reducing the storage pressure on blockchain devices and ensuring data accountability through IPFS. Finally, we evaluate the correctness, collision resistance, and storage performance of the LAP-chain built on the Ethereum private chain. The results show that when expired agri-food traceability data are permanently retained, the storage capacity of the proposed architecture is only 52.38% of that of the traditional blockchain traceability architecture, after running continuously for 36 months. When traceability data of expired agri-food are deleted in accordance with the food laws and regulations of various countries, the storage capacity of the proposed architecture can be reduced from a linear level to a constant level compared to the traditional blockchain traceability architecture. The proposed architecture has the potential to contribute to improving the safety and quality of agri-food.
Nabhan Yousef, Amit Sata, Minal Shukla, Slaheddine Jarboui · 5 authors
The quality control of investment casting remains a critical challenge due to defect detection, real-time processing, and data traceability inefficiencies. This study presents an innovative Blockchain-integrated IoT system for advanced inspection of casting defects, combining a ResNet-based deep learning model for defect detection and dimensional measurement with Blockchain technology to ensure data integrity and traceability. The system demonstrated a significant improvement in defect detection accuracy, achieving an F1-score of 0.94, alongside high data integrity (0.99) and traceability (0.98) metrics. Additionally, it processes each casting in an average of 2.3 s, supporting a throughput of 26 castings per minute. By addressing critical challenges in smart manufacturing, this approach enhances operational efficiency, regulatory compliance, and user confidence. While scalability and energy efficiency remain areas for improvement, the proposed method provides a transformative solution for Industry 4.0, fostering transparency and reliability in manufacturing processes.
Ch Sree Kumar, Aayushman Bhaba Padhy, Akhilendra Pratap Singh, K. Hemant Kumar Reddy
It is becoming harder to manage the growing amounts of waste generated daily at an increasing rate. These problems require an efficient solution that guarantees effectiveness and transparency and maintains trust within the community. To improve the process of traditional waste management, we proposed a unique solution, “GREENLINK”, which uses a combination of blockchain technology with the concept of zero-knowledge proofs (ZKPs), non-fungible tokens (NFTs), and Walrasian equilibrium. Zero-knowledge proofs (cryptographic protocols) are used to verify organizations and prove compliance (e.g., certification, recycling capacity) without disclosing sensitive information. Through an iterative bidding process, the proposed framework employs Walrasian equilibrium, a technique to balance supply and demand, guaranteeing equitable pricing and effective resource distribution among participants. The transactions and waste management activities are securely recorded on an immutable ledger, ensuring accountability, traceability, and transparency. The performance of the proposed model is evaluated. Parameters like average latency, TPS, and memory consumption are calculated using Hyperledger Caliper (a blockchain performance benchmark framework).
Yanchu Liu, Shengdong Zhang, Duosi Zheng
Abstract In 2021, 12 fraudulent cases were identified in the Chinese carbon market. As a critical component of this emerging market, China’s carbon-credit scheme in the automotive sector faces several shortcomings, including informational opacity and operational inefficiency, which affect market functionality and fairness. This study develops an information system that integrates blockchain technology and the Internet of Things to manage a carbon-credit scheme. Specifically, we attached carbon credits to each vehicle with radio frequency identification electronic tags and a chained data structure to ensure the traceability and reliability of information flow. We use the distributed ledger technology and establish five distinct types of smart contracts for decentralized operations to ensure that all procedures of the Chinese carbon-credit scheme are standardized and under public scrutiny. The proposed infrastructure has the potential to significantly enhance the transparency and efficiency of China’s carbon-credit schemes.
Dwivedi, Ashutosh Dhar, Tadayoni, Reza
The global transition towards a circular economy demands the creation of advanced digital tools that enable transparency, trust, and sustainability across product lifecycles. Decentralized Digital Product Passports (DPP) are emerging as a transformative solution to address these challenges. This paper investigates digital product passports based on distributed ledger and Internet of Things (IoT) technologies. The framework aims to securely record, store, and share product-related data, such as material composition, environmental impact, and usage history, in a tamper-proof and decentralized manner. Using the immutable nature of distributed ledgers and integrating real-time IoT data collection, the DPP framework aligns stakeholder actions with circular economy objectives, including improved resource efficiency, increased product reuse, and optimized recycling processes.
Annanya Sood, Sandeep Kumar Sharma, Vijay Shankar Sharma, Atul Srivastav
No abstract is available for this record.
Emanuele Scala, Gianmarco Mazzante, Leonardo Mostarda
No abstract is available for this record.
Aziza Syzdykova
Мақсаты: алмастырылмайтын токендердің (Non-Fungible Token- NFT) қаржылық болашағын түсіну және талдау. Әдісі: Зерттеуде алмастырылмайтын токендердің нарығы мен негізгі ерекшеліктері қарастырылды. Осы тақырып бойынша жинақталған кейбір деректер талданып, әлемдегі NFT нарығының дамуы мен ағымдағы жағдайы бағаланды. Зерттеудің теориялық және әдіснамалық негізі шетелдік ғалымдардың еңбектері мен Statista және DOIT Software ұйымдарының статистикалық есептері болып табылады. Мақалада талдау, индукция және дедукция, салыстырмалы талдау әдістері қолданылды. Қорытынды: NFT-лер әдетте сандық өнер туындыларына немесе ойын материалдарына меншік құқығын анықтау үшін пайдаланылғанымен, цифрлық әлемде пайдаланушылар жасаған мазмұнның барлық түрлеріне меншік құқығын анықтау және коммерцияландыру мәселесі жаңа өріс ретінде пайда болады. Бұл иелік шектеулі немесе бірегей өнер туындыларына қатысты болуы мүмкін және ақылды келісімшарттар туралы келісімшарттың тарапы ретінде көрінеді. NFT-лер 2021 жылы нарық үлесінің артуымен цифрлық экономикада өз орнын алды. Әсіресе өнер туындылары мен заманауи өнерде айтарлықтай серпіліс болған NFT сатылымдары 2022 жылы біршама төмендеді, алайда болашақта қайтадан артады деп болжануда. Тұжырымдама: NFT дәстүрлі активтер сыныптарын цифрландыру арқылы активтерді токенизациялау саласындағы серпінді технология ретінде ерекшеленеді. NFT өнер туындыларынан сандық коллекциялық заттарға дейінгі активтердің кең ауқымында бірегейлікті қамтамасыз ету арқылы инвесторларға әртараптандыру мен өтімділікті ұсынады. Сондай-ақ, қаржылық инновацияның бөлігі ретінде NFT ақылды келісімшарттарды пайдалану арқылы транзакция жылдамдығы мен қауіпсіздігін арттырады, осылайша қаржылық қызметтерді тиімдірек көрсетуге мүмкіндік береді.
Rouwaida Abdallah, Robert Istrate, Óscar Ansótegui Adarve, García García Ruben · 14 authors
This document establishes a comprehensive framework for digital traceability in the critical raw materials (CRM) supply chain, focusing on secure, verifiable data management to ensure transparency, accountability, and sustainability. It outlines the implementation of a Digital Product Passport (DPP), leveraging blockchain, distributed ledger technologies (DLTs), and Life Cycle Assessment (LCA) to meet regulatory and industry standards. Key topics include CRM certification, environmental compliance, material fingerprinting, risk assessment using the P.A.S.T.A. methodology, and the creation of a unified Digital Materials Passport Data Model.
P. Ramya, Yanamadini Harshini, Prof.T.Kiruba Rani, Turaga Naga Vidya Harini
No abstract is available for this record.
Koushik Reddy Chaganti, Bhupender Kumar, Pruthvi Krishna Gutta, Sivananda Lahari Reddy Elicherla · 6 authors
No abstract is available for this record.
Eid Alotaibi, Ashraf Khallaf, Abed Al‐Nasser Abdallah, Taisier A. Zoubi · 5 authors
This study examines the use of blockchain technology in ESG reporting, with a focus on carbon emissions accounting within supply chains. Using a design science methodology, it develops a blockchain-based framework that integrates automated data collection, verification, and analysis. The framework enables precise tracking of carbon emissions, enhances compliance with ESG standards, and resolves key issues like data reliability and standardization. Results show improved reporting accuracy through immutable data records and automated verification processes. This advancement allows organizations to optimize decision-making, reduce carbon footprints, and achieve sustainability goals. The study contributes theoretically by introducing an innovative blockchain-integrated ESG reporting model and practically by offering a validated framework for companies to streamline carbon accountability and improve ESG compliance.
Sultan Al-Shehhi, Ahmad Musamih, Khaled Salah, Ahmad Mayyas · 5 authors
As the world transitions toward sustainable energy, hydrogen has emerged as a critical component in reducing carbon emissions and addressing climate change. However, ensuring the sustainability and traceability of hydrogen production remains a significant challenge due to the complexity of its life-cycle emissions and the lack of standardized verification mechanisms. This paper presents a blockchain application for hydrogen certification, designed to bolster the integrity, traceability, and security of hydrogen’s life-cycle carbon emissions. By leveraging the inherent features of blockchain technology—decentralization, immutability, and transparency—our solution orchestrates a framework that verifies the sustainability of hydrogen production. We delve into the technical intricacies of Ethereum smart contracts (SCs) and propose an architecture that integrates stakeholders, smart meters, and oracles within a comprehensive system. The paper provides a meticulous exploration of the algorithms driving the certification process, which underscores our solution’s alignment with international sustainability standards. Through detailed cost and security analyses, we affirm the practicality, security, and resilience of our proposed system. The paper concludes by showcasing the key findings of our proposed solution, along with generalization guidelines across various sustainability fields.
Deo Shao, Martha Shaka, Fredrick Ishengoma, George Bennett · 6 authors
Once mined, gold passes through various stakeholders (from miners to consumers), often erasing origin signatures, resulting in an illegal gold chain. Tracing the origin and all custodians of a given gold bar ensures that fraud, illegal practices, and gold mined by criminal gangs or in conflict zones are avoided. Recently, blockchain technology has been considered the best solution for tracking gold bars in the gold supply chain because blockchain-based ledgers make it easier for all stakeholders to track gold, guarantee its provenance, and make it more difficult for malicious parties to forge receipts. Through a design science research approach, this study conceptualised and simulated a proof-of-concept prototype called GoldNet. GoldNet was simulated in a Ganache – a local blockchain platform used to deploy smart contracts in a bid to make them immutable and trustworthy. The implementation used Solidity, ReactJS, and Web3JS Software Development Kit. The study contributes to the theory and practice of the gold industry by applying design knowledge obtained through an iterative design process and serving as an edifice for integrating emerging digital technologies, particularly blockchain, in the mining sector.
J. Gregory Jenkins, Eric M. Negangard, Mark D. Sheldon
ABSTRACT Global markets are moving toward requiring firms to track and report greenhouse gas emissions across their value chain. This includes self-generated emissions (i.e., Scope 1), emissions from power providers (i.e., Scope 2), and emissions from upstream suppliers and downstream parties (i.e., Scope 3). Yet, obtaining reliable emissions data is a complex task that often relies on cumbersome legacy processes and becomes especially challenging with upstream and downstream emissions. Using the Design Science Research Methodology, we propose and prototype (early-stage) a technological solution that uses blockchain, non-fungible tokens, and smart contracts to track and report greenhouse gas emissions across a firm’s value chain. The proposed model demonstrates how these tools can create a reliable classification and provenance of emissions that all value chain members can access for reporting purposes. Experts in the field evaluate the proposed model, find it technologically feasible, and call attention to some of its challenges. JEL Classifications: C81; P28; Q51; Q55; Q56.
Peng Xing, Mingxing Wang
No abstract is available for this record.
Lu Xiao, Yu Ping Ouyang, Qiang Lin, Yujuan Guo
No abstract is available for this record.
D. Srinivasa Rao, C. Rajasekhar, P. M. K. Prasad, GBSR Naidu
Cryptocurrency has seen an increased popularity with the introduction of Bitcoins. It has been adapted in several countries and has become an alternate solution to conventional currency. Despite its benefits, some controversies surround the manufacturing of bitcoins. While all the countries are moving to sustainability development and global warming control, Bitcoin production has raised several concerns about environmental pollution and sustainability. The increased carbon emissions and high electrical consumption have accompanied the popularity of cryptocurrency. Hence, there is an immediate need to reduce the carbon footprint and electricity consumption caused by human cryptocurrency for a sustainable future. This study presents the current scenario and trends of worldwide cryptocurrency growth and discusses the environmental impact of cryptocurrency mining. It explores crypto mining worldwide and provides a qualitative review. Further, this article highlights the need to take necessary measures to control cryptocurrency circulation.
Shuhei Yamauchi, Shoji Kasahara
This study introduces a system using Non-Fungible Tokens (NFTs) to track and report carbon emissions in supply chains accurately. It addresses the problem of double counting, which occurs when the same emissions are recorded multiple times due to product segmentation and integration. Our system uses blockchain technology to ensure NFTs are traceable and tamper-proof, enhancing data reliability. The system includes three types of NFTs: Parent NFTs (P-NFTs) for energy and raw material data, Child NFTs (C-NFTs) for manufacturing emissions, and Integration NFTs (I-NFTs) that compile the carbon footprint of final products. This method improves accurate emission tracking and transparency across the supply chain.
Nuthanakanti Bhaskar, G. Simi Margarat, Mohammed Al-Farouni, K. Nagaraju · 6 authors
To address these challenges, this research will adopt a federated learning method and implement the use of a blockchain system to implement a traceability system on the agricultural chain. Based on the voluntary collaboration of decentralized datasets and blockchain-based ledgers, the technology is poised to enhance the transparency, effectiveness, and reliability of the agricultural chain. TensorFlow Federated utilized in the development of the federated learning model exhibits cifar-10 acuracy of 0. 92, precision of 0. 88, recall of 0. 94 and F1 score of 0, indicating that the classifier significantly outperforms the baseline random forest classifier. 91. The model is tested for joint training from the distributed data sources and shows relatively reasonable training time (12 hrs) and communication complexity (8. 5 GB). The state of affairs of blockchain transactions show that successful transaction records up to 1800 are registered with various activities such as product registration, quality certification of the product, record of transportation of the products, and storage records of the products etc. The datasets included here include various types of agricultural data that cover activities taking place on the farming fields and in processing plants, distributor’s centers, and retail stores amongst other areas of concern and may cover data such as crop yields, weather updates, and transportation routes among others. Some of the software tools used in the development process include Python that can be used for data preprocessing and analysis; TensorFlow Federated which can be used in the creation of federated learning models; Ethereum can be used in the implementation of blockchain. This approach provides an invaluable roadmap for successfully tackling important demands in agricultural SCM systems and optimizing the success of decision-makers and entities along the food supply chain.
Mritunjay Shall Peelam, Kunjan Shah, Vinay Chamola, Biplab Sikdar
The traditional landscape of vehicle lifecycle management systems has several issues, including widespread fraud, opaque processes, and limited accessibility. As a result, there is a need for a paradigm change toward modernized vehicle management techniques, which is connected with the emergence of Intelligent Transport Systems (ITS). This work is a novel solution in the shape of a Blockchain-Assisted Vehicle State Tracking System that is claimed to transform how automobiles are identified, registered, tracked, and controlled inside an Intelligent Transport System. The proposed model offers a secure, auditable ledger for tracking vehicle states. Incorporating federated learning-based predictive maintenance ensures timely servicing while protecting the privacy of user data. This paper explores the intricate architecture and promising capabilities to not only address the shortcomings of existing frameworks but also promote the evolution towards a seamlessly integrated, technologically driven ecosystem for vehicle management and Intelligent Transport Systems.
Massimiliano Pirani, Alessandro Cucchiarelli, Luca Spalazzi
Blockchain technologies and paradigms can provide new ground for the management of complex socio-technical problems like supply chains. The contribution of this work is a work-in-progress experimental setting to demonstrate the effectiveness of a novel distributed business process management scheme that integrates the RMAS (Relational-model Multi Agent System) and the Blockchain frameworks. The research work is conducted in a food supply chain case study aiming to sustainability and social good through a purposeful organisation of the autonomous behaviour of the actors in the system.