Secure Social Internet of Things Based on Post-Quantum Blockchain

Yi, Haibo

doi:10.1109/tnse.2021.3095192

Cited by 63 publications

(33 citation statements)

References 43 publications

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“…Based on this point, with the progress of science and technology, people should use system concepts not only for the study and recognization of complex management systems, but also for the activity in various fields such as operation, finance, planning, remuneration, and performance. Only by understanding management from the perspective of system integrity, can people correctly evaluate various management activities and formulate appropriate and reasonable countermeasures for various problems in management, so as to improve the management ability of the organization and create a new situation of efficient management (Dimitrov, 2019;Yi, 2021;Chen& Sivakumar, 2021).…”

Section: Management Accounting Information Theorymentioning

confidence: 99%

Analysis of Human Interactive Accounting Management Information Systems Based on Artificial Intelligence

Qu¹

2021

Journal of Global Information Management

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BACKGROUND: With the gradual improvement of market economy, people' s consumption level is constantly improving, and the quality requirements are getting higher and higher. OBJECTIVES: In order to study the management accounting information analysis platform based on Artificial Intelligence (AI) and realize the goal of accounting computerization, the application of AI in expert system is applied to the field of accounting information analysis. METHODS: The combination of subsystems is applied to the construction of AI accounting information Web system, and the feasibility analysis of its theory and technology is carried out. RESULTS: The results show that its effect is obvious: accelerating the flow of all information and promoting the change of enterprise management mode. Moreover, compared with the traditional system algorithm, the accuracy of the system model is improved by 6% and the time delay is reduced by 9ms, which makes the overall management level of the enterprise further improved, the scope of enterprise competition further expanded, the cost of enterprise saved

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Section: Management Accounting Information Theorymentioning

confidence: 99%

Analysis of Human Interactive Accounting Management Information Systems Based on Artificial Intelligence

Qu¹

2021

Journal of Global Information Management

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“…Real datasets were used to test the performance of the model. The results show that the performance of the model is better than the most advanced method (He et al, 2020;Yi, 2021, Yu et al, 2021. In order to more effectively solve health-related queries, Youneng and Xiuli (2020) proposed an online medical expert recommendation model based on Labelled-LDA, which mainly uses the Labelled-LDA model to identify potential topics of online health problems and match them with doctors' specialties.…”

Section: Key Technology Analysismentioning

confidence: 99%

Global Multi-Source Information Fusion Management and Deep Learning Optimization for Tourism

2021

Journal of Organizational and End User Computing

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The purpose is to solve the problems of sparse data information, low recommendation precision and recall rate and cold start of the current tourism personalized recommendation system. First, a context based personalized recommendation model (CPRM) is established by using the labeled-LDA (Labeled Latent Dirichlet Allocation) algorithm. The precision and recall of interest point recommendation are improved by mining the context information in unstructured text. Then, the interest point recommendation framework based on convolutional neural network (IPRC) is established. The semantic and emotional information in the comment text is extracted to identify user preferences, and the score of interest points in the target location is predicted combined with the influence factors of geographical location. Finally, real datasets are adopted to evaluate the recommendation precision and recall of the above two models and their performance of solving the cold start problem.

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“…In recent years, the emergence of new technologies including blockchain, artificial intelligence, and machine learning and their applications has grown in the field of healthcare [1][2][3][4][5][6][7][8]. In 2020, Wang et al constructed a new efficient hybrid learning framework, namely the CMWOAFS-SVM [9][10][11][12][13][14][15], for support vector machine (SVM), which was successfully applied to diagnose different diseases, including breast cancer, diabetes, and ES [16][17][18][19][20][21]. In 2019, Zhao et al proposed a new efficient diagnostic approach to integrate machine learning and gas chromatography-mass spectrometry (GC-MS), named GEE, to identify paraquat (PQ) poisoned patients.…”

Section: Introductionmentioning

confidence: 99%

Evaluation and Classification Risks of Implementing Blockchain in the Drug Supply Chain with a New Hybrid Sorting Method

et al. 2021

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In blockchain technology, all registered information, from the place of production of the product to its point of sale, is recorded as permanent and unchangeable, and no intermediary has the ability to change the data of other members and even the data registered by them without public consensus. In this way, users can trust the accuracy of the data. Blockchain systems have a wide range of applications in the medical and health sectors, from creating an integrated system for recording and tracking patients’ medical records to creating transparency in the drug supply chain and medical supplies. However, implementing blockchain technology in the supply chain has limitations and sometimes has risks. In this study, BWM methods and VIKORSort have been used to classify the risks of implementing blockchain in the drug supply chain. The results show that cyberattacks, double spending, and immutability are very dangerous risks for implementation of blockchain technology in the drug supply chain. Therefore, the risks of blockchain technology implementation in the drug supply chain have been classified based on a literature review and opinions of the experts. The risks of blockchain technology implementation in the supply chain were determined from the literature review.

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Secure Social Internet of Things Based on Post-Quantum Blockchain

Cited by 63 publications

References 43 publications

Analysis of Human Interactive Accounting Management Information Systems Based on Artificial Intelligence

Analysis of Human Interactive Accounting Management Information Systems Based on Artificial Intelligence

Global Multi-Source Information Fusion Management and Deep Learning Optimization for Tourism

Evaluation and Classification Risks of Implementing Blockchain in the Drug Supply Chain with a New Hybrid Sorting Method

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