Electronic evidence of forensic medical images plays a key role in forensic identification. The existing deposit technology is difficult to cope with the dual challenges of image format change and AI forgery, and the fusion mechanism of digital watermarking and blockchain has the problems of robustness and traceability accuracy imbalance. This article proposes a dynamic trusted certificate storage system that integrates deep learning perceptual hash and alliance chain. A semantic hash generation network based on multi-scale frequency domain features is designed, and a lightweight intelligent contract architecture optimized by SM2/SM3 algorithm of state secrets is established. The full link traceability is realized by combining adaptive frequency domain and time domain nested watermarking algorithms. Experiments show that under the attacks of Gaussian noise, JPEG compression and geometric deformation, the Hamming distance of the hash is stable within 3 bits, which is better than the mutation of more than 30 bits in the traditional cryptographic hash. When the rotation is 10, the false recognition rate is less than 1%, and the sample collision probability is maintained at a very low order of magnitude; When the watermark embedding strength increases, the PSNR remains above 45 dB, and the normalized cross-correlation coefficient is higher than 0.92 under the condition of JPEG compression quality of 70. In the alliance chain scenario, the consensus delay of 30 nodes is 180 ms, and the delay rises to 320ms after the expansion of 100 nodes, and the system throughput is not significantly attenuated. In this study, the synergy between robustness, transparency and traceability efficiency is optimized, which can provide a reference technical scheme for judicial acceptance of forensic electronic evidence chain.
With the increasing demand for fair trading in the energy sector, the use of blockchain technology as a new model for energy trading has begun to come into the public eye. However, there are problems such as the lack of a third party to endorse, relatively low efficiency, and unreasonable distribution. The innovative integration of the dynamic proof of stake (PoS) mechanism and entropy regulation strategy in the energy trading sharding system was proposed to solve problems such as trust deficiency, low transaction efficiency and uneven energy distribution existing in traditional energy trading. In the optimized triangular model, verifiable random functions were adopted to select validators, and the staking weights were dynamically adjusted in combination with the real-time status of nodes and transaction activity. Quantify the distribution of equity using Shannon entropy and set a threshold to trigger redistribution. The Pareto frontier solution set for the three objectives of throughput, security and decentralization was solved through the NSGA. A mechanism was adopted to dynamically adjust the equity weight based on the real-time status of nodes and the activity level of energy transactions, effectively enhancing the efficiency and fairness of transaction verification. The regulation was introduced for quantification to reduce the uncertainty and chaos of the energy trading system, ensuring the rational allocation and efficient utilization of energy resources. The experimental results show that optimized system throughput and attack cost have been significantly improved. Meanwhile, the degree of decentralization has risen to 89%, and the overall performance has increased by 12.8 times. This scheme has advantages such as good transaction efficiency, security and energy conservation and consumption reduction, which is conducive to reducing energy transaction costs, enhancing the transparency and stability of the energy transaction market.
In view of the core pain points of traditional supply chain finance, such as financing difficulties for secondary and above suppliers, opaque transaction information, and difficulty in confirming accounts receivable of small and medium-sized enterprises, this study proposes a blockchain-based supply chain finance management method and system. The system builds a consortium chain network composed of core enterprise nodes, factoring company nodes, supplier nodes, upstream enterprise nodes and information notary nodes, relying on blockchain core technologies such as distributed ledgers and smart contracts to realize the whole process management of credit line issuance, digital bill issuance, circulation endorsement, maturity redemption and discounting. As the core carrier, digital bills have the characteristics of splitting, circulation and discounting, realizing the cross-level transmission of core enterprise credit; The distributed architecture and information notarization mechanism of the consortium chain ensure that transaction information is transparent, traceable, and cannot be tampered with, effectively reducing information asymmetry and transaction risks. Through multi-node collaboration and automated processes, the system not only alleviates the financing pressure of small and medium-sized enterprises, optimizes the efficiency of supply chain capital flow, but also enhances supply chain synergy and the competitiveness of core enterprises, providing practical solutions for the digital transformation of supply chain finance.
In the process of building materials supply chain management, there are problems such as information opacity, low logistics coordination efficiency, difficulty in material quality traceability, and weak trust mechanism among supply chain entities, which lead to rising costs, low efficiency, and waste of resources. In addition, the construction industry has a large amount of carbon emissions, and the impact of supply chain management on carbon emission reduction cannot be ignored. To this end, this paper introduces blockchain technology to improve supply chain transparency, optimize logistics management, enhance material quality traceability, and explore its role in carbon emission reduction. This paper constructs a blockchain-based building materials supply chain management system, using distributed ledgers to ensure data transparency, smart contracts to automate procurement, acceptance and payment, which is a material traceability system to ensure quality control, the Internet of Things combined with blockchain to optimize logistics management, and establish a carbon emission monitoring and optimization mechanism to achieve real-time data recording and low-carbon scheduling. The system built in this study shows significant advantages in multiple key indicators. The overall carbon emissions of the supply chain in the experimental group are 88 tons of CO2, a 12% decrease compared to 100 tons of CO2 in the control group. The average transportation time in the experimental group is 4.5 hours, while that in the control group is 8.2 hours, a 45.1% decrease. The application of blockchain technology has effectively improved the efficiency and transparency of building materials supply chain management, optimized logistics and material quality control, and played a positive role in carbon emission reduction.
This study explores the optimization path of the e-commerce supply chain logistics management model using blockchain technology, breaks the bottlenecks of information barriers, low operational efficiency and high costs in the traditional operation model, adopts design strategies to build a blockchain technology application architecture, integrates distributed ledger technology, smart contract functions, Internet of Things technology and decentralized identity authentication methods, and implements refined improvements in each stage of the e-commerce supply chain. Data collection is conducted on the order execution process, logistics distribution links and cost components of the three e-commerce platforms A, B and C, and an in-depth comparative analysis is conducted on the differences between the traditional model and the blockchain optimization model in terms of efficiency, economic cost and customer satisfaction. The research results show that the optimization measures using blockchain technology have significantly improved the efficiency of order processing and distribution, effectively reduced logistics cost expenditures, and significantly increased customer satisfaction levels.
With the rapid development of communication technology and automation technology, sensors are becoming more and more intelligent. This study proposes an environmental accounting system model based on artificial intelligence blockchain and embedded sensors. A high-precision sensor system based on embedded technology is first built, which not only avoids the shortcomings of analog data transmission, but also has high performance and price advantages. At the same time, it can be easily combined into a simple sensor network, and array measurement can be realized through the development of blockchain technology. However, the current blockchain system has the disadvantage of storage limitation. The problem is particularly serious when a large amount of data needs to be stored in the blockchain, especially when the blockchain is combined with big data. As a comprehensive field of accounting, ecology, and environmental science, environmental accounting has made great contributions to sustainable development in the field of accounting. The theoretical research in the field of environmental accounting in China started late, and a unified environmental accounting system has not actually been established. Under the conditions of immature theoretical and policy basis, companies have almost no actual surveys on environmental accounting. The characteristics of blockchain technology, such as decentralization, transparency, and changes in information unavailability, can fully solve the problem that the current accounting information system cannot consolidate transaction information and the accounting process. The reliability assurance mechanism of the accounting information system based on blockchain technology can greatly ensure the reliability of the accounting information system, effectively suppress accounting fraud, and improve the transparency of information.
Huilin Zhang, Wenrui Zhu, Cai Wang, Ye Wang · 5 authors
Abstract As an important supplementary method to help market entities to complete consumption responsibility weights of renewable energy in China, excessive consumption transaction needs an efficient and security trading mechanism. Therefore, a decentered listing trading system based on blockchain smart contract is proposed, which utilizes P2P transaction mode to complete the listing and delisting process of excessive consumption transaction. The feasibility of this trading system is verified by an example designed on Ethereum platform with compiling and allocating of smart contract, synchronization of ethernet and smart contract, and announcement of transaction information.
Abstract As a disruptive Internet technology, blockchain technology is more open, authentic, and traceable than traditional Internet technology. Compared with the traditional food safety tracing system, the food safety tracing system based on blockchain technology has the advantages of reducing costs, improving efficiency, and facilitating supervision by the regulatory department or the general public. However, due to the short development time of the blockchain technology, the food safety under the “blockchain + agriculture” model will still face challenges such as lack of infrastructure and talent, higher hazards of information and data leakage, and lagging of relevant laws and regulations.