To solve the problems of the cumbersome process in medical record authorization, the low efficiency in record sharing and the difficulty in identity authentication in current medical systems, a method of asymmetric encryption technology combining with blockchain technology was proposed to make medical records cross-domain sharing traceable, data tamper-resistant and identity authentication simplified by applying charatistics of asymmetric encryption technology like high safety and simple cooperation to the peer-to-peer network constructed by blockchain technology. Firstly, based on the anti-tampering of blockchain technology and with asymmetric encryption technology combined, file synchronization contract and authorization contract were designed, in which the distributed storage advantages secure the privacy of user's medical information. Secondly, cross-domain acquisition contracts were designed to validate the identity of both parties and improve authentication efficiency, so that non-legitimate users can be securely filtered without third-party notary agency. The experimental and analysis results show that the proposed scheme has obvious advantages in data guard against theft, multi-party authentication and data access control compared with the traditional scheme of using cloud computing method to solve medical record sharing problem. The proposed method provides a good application demonstration for solving the security problems in the data sharing process across medical institutions and a reference for cross-domain identity verification in the process of sharing data by using decentralization and auditability of blockchain technology.

At present, enterprise's business are more and more circumscribed by the laws, regulations, standards and internal control system. How to enforce enterprises process-aware information system compliant has already become an important issue in Information System (IS) research. Ensure compliance of the process model is the important premise to realize process perception system compliance. In view of the compliance of process model at the process design stage, by extending previous work on executabililty checking for the semantically annotated process model, an annotation-based compliance checking was proposed, which mainly included techniques for generating annotation expressions for the compliance rule patterns and analyzing compliance annotated process model. Compliance annotation expressions specify the involved activities and constraints, which are the essential information for compliance debugging and run-time detection and evaluation. By using Satisfiability (SAT) solver, the compliance annotated process model can be efficiently checked and debugged.

In recommendation system, it is difficult to predict the behavior of users on items and give the accurate recommendation. In order to improve the accuracy of recommendation system, the recommendation potential was introduced and a novel personalized hybrid recommendation model fused with recommendation potential was proposed. Firstly, the trend momentum was calculated according to the visits of items in recent short time and long time; then, the current recommendation potential was calculated utilizing trend momentum; finally, the hybrid recommendation model was achieved according to the fusion of recommendation potential and personalized recommendation model. The experimental results show that the personalized trend prediction fused with recommendation potential can improve the accuracy of recommendation system in a large scale.