Memristive PAD three-dimensional emotion generation system based on D–S evidence theory

Zhang, Mengxian; Wang, Chunhua; Sun, Yichuang; Li, Tao

doi:10.1007/s11071-023-09264-2

Nonlinear Dyn

2024

DOI: 10.1007/s11071-023-09264-2

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Memristive PAD three-dimensional emotion generation system based on D–S evidence theory

Mengxian Zhang,

Chunhua Wang,

Yichuang Sun

et al.

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Cited by 2 publications

References 54 publications

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A Study on Coping with the Psychology of Employment and Entrepreneurship Stress among College Students under the Cognitive Interaction Model (CIM)

Dang

2024

Applied Mathematics and Nonlinear Sciences

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It is especially important to solve the psychological pressure of college students’ employment if they want to complete their employment and get better development. This paper proposes a cognitive interaction model based on the full information emotion theory and develops the psychological analysis of employment and entrepreneurial pressure on college students on this basis. In the construction of the cognitive interaction model, the basic assumptions of the all-information affective theory are first proposed, the concepts of the individual’s a priori information, a posteriori information, actual information, and expected information are introduced, the individual’s emotional model is established, and the assumption of information-emotional equivalence is proposed. Combining the PDA model with the information theory of emotional motivation completes the model construction based on this basic assumption. In the model performance test, the accuracy of emotion dimension recognition in this paper’s model is more than 95%, which is better than other models. Taking college students in 2 general colleges and universities in Hunan Province, China, as the research object, the study shows that the total psychological mean score of college students’ employment and entrepreneurship stress is 2.75, and the stress psychology is at a medium level. In the data of the randomly sampled student samples, 70% of the student’s emotional tendencies are anxiety, and anxiety is the mainstream emotion of college students. College students’ feelings of employment and entrepreneurship stress and negative coping styles are both at a high-intensity level.

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A Study on Coping with the Psychology of Employment and Entrepreneurship Stress among College Students under the Cognitive Interaction Model (CIM)

Dang

2024

Applied Mathematics and Nonlinear Sciences

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Modeling of Unmanned Aerial Vehicles for Smart Agriculture Systems Using Hybrid Fuzzy PID Controllers

Amertet,

Gebresenbet,

Alwan

2024

Applied Sciences

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Unmanned aerial vehicles have a wide range of uses in the military field, non-combat situations, and civil works. Due to their ease of operation, unmanned aerial vehicles (UAVs) are highly sought after by farmers and are considered the best agricultural technologies, since different types of controller algorithms are being integrated into drone systems, making drones the most affordable option for smart agriculture sectors. PID controllers are among the controllers frequently incorporated into drone systems. Although PID controllers are frequently used in drones, they have some limitations, such as sensitivity to noise and measurement errors, which can lead to instability or oscillations in the system. On the other hand, PID controllers provide improved accuracy in drone system responses. When using PID controllers to achieve the best performance in a drone system, it is better to share the advantages of PID controllers with other intelligence controllers. One promising option is the fuzzy PID controller. The aim of this study was to control quadcopter states (rolling, altitude, and airspeed) by leveraging quadcopter technology and adding hybrid fuzzy PID controls into the system. The quadcopter system and its controllers were mathematically modeled using the Simulink/MATLAB platform, and the system was controlled by fuzzy PID controllers. For validation purposes, the fuzzy PID controller was compared with a classically tuned PID controller. For roll, height, and airspeed, the fuzzy PID controller provided an improvement of 41.5%, 11%, and 44%, respectively, over the classically tuned PID controller. Therefore, the fuzzy PID controller best suits the needs of farmers and is compatible with smart agriculture systems.

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Memristive PAD three-dimensional emotion generation system based on D–S evidence theory

Cited by 2 publications

References 54 publications

A Study on Coping with the Psychology of Employment and Entrepreneurship Stress among College Students under the Cognitive Interaction Model (CIM)

A Study on Coping with the Psychology of Employment and Entrepreneurship Stress among College Students under the Cognitive Interaction Model (CIM)

Modeling of Unmanned Aerial Vehicles for Smart Agriculture Systems Using Hybrid Fuzzy PID Controllers

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