This paper proposes well-worn approach for verification of Online Signature which is one of the biometric entity. The signature will capture on digitizer the missing points of the signature are calculated from MDDA algorithm. This paper uses a notion to extract the feature vector generation based on CAL-SAL function. To extract the feature vector intermediate transform of row & col will be evaluated and distributed over complex Walsh plane. The mean value for each blocks will be calculated which separates the first and last row & col of mean & density of CAL-SAL components for other transforms. Lastly soft biometric features are added to improve the performance. The results for the unimodal & Multi Algorithmic features vectors are compared. Performance Index & Security Performance Index will be evaluated which delivers the performance of the system.

No abstract

This paper explores the potential use of blockchain technology in fertilizer supply chain management. The project begins by identifying the current issues and challenges in the fertilizer supply chain and how blockchain technology can address them. The project team then designs and implements a blockchain-based supply chain management system for the fertilizer industry. The allocation of subsidies is also covered in the study, along with problems including corruption, poor management, and a lack of openness.. The team utilizes smart contracts, decentralized data storage, and consensus mechanisms to improve transparency, traceability, and efficiency in the fertilizer supply chain. The system is evaluated through user testing, and feedback is collected to identify strengths and weaknesses. The results show that the blockchain-based supply chain management system can significantly improve the efficiency and accountability of the fertilizer supply chain. The project concludes by providing recommendations for the implementation of blockchain technology in the fertilizer industry, emphasizing the need for standardization, collaboration, and stakeholder engagement. This project aims to contribute to the practical application of blockchain technology in the fertilizer industry and provide a foundation for further research in this field.

No abstract

No abstract