Deep Information Fusion-Driven POI Scheduling for Mobile Social Networks

Guo, Zhiwei; Yu, Keping; Bashir, Ali Kashif; Zhang, Di; Al‐Otaibi, Yasser D.; Guizani, Mohsen

doi:10.1109/mnet.102.2100394

Cited by 64 publications

(16 citation statements)

References 15 publications

(18 reference statements)

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“…When a user registers with the system for the first time, the system determines the user's subordinate status based on the user's predefined attributes, and in this scheme, the user status can be divided into: data owner, data acquirer and third-party organization. When the user enters the system, the system will be based on the user ID and agent license as the identity authentication, and the return result is whether it is a legitimate identity or a legitimate unique identity [28]. Users can be divided into three categories after executing the identity contract IC, for each storage there exists data index, before accessing the data index you must run the access control contract APC.…”

Section: Results and Analysis A Testing Of The Blockchain Structurementioning

confidence: 99%

An Intelligent Optimization Control Method for Enterprise Cost Under Blockchain Environment

Liu

Yao

Yu³

2023

IEEE Access

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This paper uses blockchain technology to conduct in-depth research and analysis on enterprise cost optimization control. Based on the analysis of the status of cost control in my enterprise, the concept of target cost optimization control and specific control ideas are proposed, and the study of optimization control under target cost based on genetic algorithm is carried out in combination with the current three major controls of quality, schedule, and cost. It provides the technical basis for the realization of the target profit of the enterprise. The Optimized Scalable Byzantine Fault Tolerance (OSBFT) algorithm, which is suitable for spectrum sharing, is proposed based on PBFT (Practical Byzantine Fault Tolerance) algorithm. So, in this paper, an improved consensus algorithm OSBFT (Optimized Scalable Byzantine Fault Tolerance) is proposed based on it. The improved genetic algorithm is used to solve the objective function and verify the validity, reasonableness and applicability of the model and algorithm. It is shown that the introduction of delay cost in the multilevel inventory model reduces the total cost of the optimized model by 16.87% compared to previous studies. The algorithm reduces the consensus steps, incorporates a data synchronization mechanism, and enables nodes to join and exit consensus.

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Section: Results and Analysis A Testing Of The Blockchain Structurementioning

confidence: 99%

An Intelligent Optimization Control Method for Enterprise Cost Under Blockchain Environment

Liu

Yao

Yu³

2023

IEEE Access

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“…In recent years, with the rapid development of network and database technology, people have accumulated more and more data [1], and there is a lot of useful information hidden behind these data [2], which has been widely used, and the ability to exploit them becomes increasingly important [3]. The same is true in the field of education.…”

Section: Introductionmentioning

confidence: 99%

A Data-Driven Smart Evaluation Framework for Teaching Effect Based on Fuzzy Comprehensive Analysis

Gong

Wang

2023

IEEE Access

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In recent years, the epidemic of communicable diseases has boosted the prevalence of online teaching activities. But how to make smart evaluation towards teaching effect has always been a technical barrier. As consequence, this paper utilizes fuzzy comprehensive analysis to deal with this problem from the perspective of big data mining. In particular, it proposes a data-driven smart evaluation framework for teaching effect based on fuzzy comprehensive analysis. Firstly, business data is timely collected from online courses as the basis, including teacher performance, teaching contents, student feedback, etc. Specifically, the initial data is encoded into structured format, from which characteristics of students behaviors can be analyzed. Then, the fuzzy comprehensive analysis is utilized to calculate evaluation results of teaching effect. Some simulation experiments are conducted based on the computer programming design, in which the proposal technical framework is implemented on a developed Web platform. The experiments reflect that the proposal can well realize evaluation of teaching effect.

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“…On this basis, the computer algorithms are used to precisely connect each layer FIGURE 1: A typical example that illustrates scenarios of robust visual SLAM for additive manufacturing to form a layer stack to quickly realize the additive manufacturing of parts [16], [17]. Contemporarily, the application of additive manufacturing technology has bee more and more general in the automotive industry [18], [19],liu2022human. In this context, some brand-name automotive companies currently choose to use additive manufacturing technology in the automotive development stage to achieve the purpose of rapid verification and optimization of components [20], [21].…”

Section: Introductionmentioning

confidence: 99%

A Robust Visual SLAM Method for Additive Manufacturing of Vehicular Parts Under Dynamic Scenes

Wen-bo

Fan

et al. 2023

IEEE Access

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Deep Information Fusion-Driven POI Scheduling for Mobile Social Networks

Cited by 64 publications

References 15 publications

An Intelligent Optimization Control Method for Enterprise Cost Under Blockchain Environment

An Intelligent Optimization Control Method for Enterprise Cost Under Blockchain Environment

A Data-Driven Smart Evaluation Framework for Teaching Effect Based on Fuzzy Comprehensive Analysis

A Robust Visual SLAM Method for Additive Manufacturing of Vehicular Parts Under Dynamic Scenes

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