A Requirement-Driven Expert System for Blockchain Consensus Mechanism Selection

AN UNCERTAINTY-AWARE MULTI-CRITERIA FRAMEWORK FOR EVALUATING BLOCKCHAIN-BASED TRACEABILITY SYSTEMS

Blockchain technology has transformed data management by offering a decentralized, transparent, and secure way to record transactions. In order to improve supply chain visibility, security, authenticity, and dependability, these blockchain-based tracking and tracing system capabilities are essential. Choosing the best architecture and configuration becomes a difficult decision-making task as industries use these systems more and more. Furthermore, a wide range of factors, including cost, security, and scalability, influence decision-making. This study assesses different blockchain-based tracking systems using the fuzzy framework. The COCOSO model was introduced in the study within the Picture Fuzzy (PF) framework. By considering several conflicting factors, this decision-making tool assesses the actual situation of a blockchain-based tracking and tracing system. Furthermore, the importance of decision-making in blockchain-based systems has been established, along with their implications for society, risk reduction, ethics, and the environment. Additionally, a comparison analysis was carried out to demonstrate the effectiveness of the suggested model in order to confirm the validity and dependability of the suggested strategy. The concluding remarks, which outline the topic's advantages, disadvantages, and future course, bring the conversation to an end. KEYWORDS: COCOSO method, multi-criteria decision making (MCDM), blockchain-based tracking and tracing system, and picture fuzzy number (PFN)

A survey of blockchain transaction processing and scalability: toward a trust infrastructure for AI agents

This survey investigates the transaction processing and expanding methods from different perspectives, and presents the existing technologies systematically and highlights their importance.

Blockchain-Based Spatial Registry and Management in Multi-User Mixed Reality

Persistent spatial anchors are essential for enabling shared and collaborative mixed reality (MR) experiences, but current anchor management mechanisms are typically centralized and lack transparent governance across multiple stakeholders. To this end, we explore a blockchain-based approach for governing spatial anchors in multi-user MR environments. We design and implement a decentralized anchor registry using a permissioned blockchain architecture that supports auditable anchor lifecycle management and cross-organization validation. A prototype system integrating a blockchain network, gateway services, and an MR client is developed to evaluate feasibility. Experimental results demonstrate that the proposed architecture can govern anchor lifecycle operations without degrading on-device rendering performance, while revealing a substantial gap between server-side and headset-experienced synchronization latency. We further analyze system performance from both server-side and device-side perspectives, highlighting the importance of client-experienced latency in MR deployments. The evaluation also shows that appropriate blockchain configuration can significantly reduce governance latency: tuning BatchTimeout from 2s to 500ms lowers latency by about 70% (from 5449ms to 1635ms) without affecting rendering performance on the MR device.

Proposed Requirements for a Blockchain-Based Electronic Laboratory Notebook

Electronic Laboratory Notebooks (ELNs) is used to support experimental documentation, data management in a collaborative landscape while adhering to regulatory requirements in a centrally controlled system. The use of blockchain technology could provide cryptographically verifiable data, evidence and subsequent alterations. However, the use of blockchain in ELN has not been clearly defined. This study aimed to identify requirements for a blockchain-based ELN. A preliminary scoping review on ELN requirements via PubMed search was conducted for publications indexed on or before 30 June 2026. Forty-one records were identified; of which, 11 were included. The identified requirements were grouped into three categories: system and compliance, data capture and data usage. These findings were integrated with blockchain-specific considerations. A hybrid architecture is proposed comprising an ELN application layer, an encrypted off-chain repository, a blockchain integrity layer, an identity and key-management service and an interoperability layer. Twenty-eight requirement domains are presented, including source data capture, cryptographic hashing, digital signatures, trusted timestamps, role-based access, disaster recovery and governance. Blockchain should supplement rather than replace conventional ELN infrastructure.

A BLOCKCHAIN-BASED ELECTRONIC VOTING SYSTEM WITH AUTOMATED LEADERLESS BFT CONSENSUS

Design and Implementation of a Blockchain-based Traceability System for Green Transformation in Optoelectronic Enterprises

A blockchain-based traceability framework to support the green transformation of optoelectronic enterprises through secure, transparent, and intelligent supply network operations and a reinforcement learning-based procurement decision model to optimize raw material purchasing strategies, inventory management, and cost control.