Research on Micro-Grid Group Intelligent Decision Mechanism under the Mode of Block-Chain and Multi-Agent Fusion

Fu, Xiaolin; Wang, Hong; Wang, Zhi-Jie; Shi, Zhong; Yang, Wanhao; Ma, Pengchi

doi:10.3390/en12214196

Cited by 5 publications

(4 citation statements)

References 18 publications

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“…Among the poems published by poets who have committed suicide, first-person singular and death-related words are frequently used [ 3 ]. Fu, Wang, et al first manually marked some suicide words as a seed dictionary, and then extended the suicide dictionary based on the similarity between Word2Vec words by training the Word2Vec model [ 4 ]. Chen, S. uses the semantic information in HowNet to guide deep online learning of deeper word semantic information to expand the LIWC dictionary, and achieved good results [ 5 ].…”

Section: Introductionmentioning

confidence: 99%

Intelligent Assessment of Mental Health Based on Multisource Information Fusion

Jing

2022

Journal of Healthcare Engineering

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Mental health problems will seriously damage social harmony and family happiness. This paper proposes a study on mental health intelligence assessment based on multisource information fusion. Combining the data description of UPI and SCL-90 and the corresponding task requirement analysis, the multisource information fusion visualization based on the Circos diagram is designed and realized, and the parallel coordinate visualization is established. The MDS algorithm is used to project multidimensional survey objects into low-dimensional visualization space, and the actual UPI and SCL-90 questionnaire data for 278 students of a certain major at a university provided by the cooperative unit are used. The results show that the mental health problems of student A are serious, and the symptoms of depression and schizophrenia are prominent, so it is necessary to seek psychological experts for corresponding treatment in time. By contrast, student B's mental health problems are also serious, and the user judges that student B still needs further diagnosis and treatment. The correlation analysis results of multisource information fusion are roughly the same as the actual situation, which is convincing. Therefore, the multisource mental health information fusion of college students has a certain correlation and complementarity.

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Section: Introductionmentioning

confidence: 99%

Intelligent Assessment of Mental Health Based on Multisource Information Fusion

Jing

2022

Journal of Healthcare Engineering

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“…In equation (7), β is the average path loss value at a given distance obtained in the model, λ is the corresponding standard deviation, and the unit is dB.…”

Section: Methods and Related Conceptsmentioning

confidence: 99%

“…It reveals the law of group intelligent decision-making under the multitask of microgrid. There are still some limitations in their research [7]. In Xu et al's article, the orthogonal experiment method was used to obtain and analyze the acoustic emission and vibration acceleration signal data in the CNC machine tool processing under different tool wear levels and different cutting conditions.…”

Section: Significance Interactive Installation Art Has Been Formedmentioning

confidence: 99%

The Intelligent Integration of Interactive Installation Art Based on Artificial Intelligence and Wireless Network Communication

Gao

Lin

2021

Wireless Communications and Mobile Computing

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With the development of technology and the times, the development of new media technology and interactive installation art has slowly entered the vision of our audience. It is simply “silent art.” The public no longer “retires” like the traditional one, but participates in it and swims with the artists in the world of art. This article is aimed at studying the application of artificial intelligence and wireless network communication to the application of interactive installation art. Through the optimization of various communication equipment and the continuous advancement of various algorithms, we can strengthen the communication and connection between our interactive installation art. This article proposes that with the addition of artificial intelligence and wireless network communication, the interaction between artists and audiences may be more fun, so that we can be more colorful in our lives. The experimental results in this article show that when performing wireless network communication, the communication delay rate of the intelligent algorithm with artificial intelligence is much lower than that of the one without it, which shows that they can better transmit information to the control end. When affected by the outside world, the bit error rate of wireless network communication will increase, however, the artificial intelligence algorithm is added to his impact range, and his bit error rate increase is obviously not so high. In the process of wireless network communication, the improved algorithm is definitely better than the nonimproved algorithm in terms of energy consumption, communication delay, and bit error rate. Through the enhancement of signals and the selection of materials for communication equipment, these are all in continuous progress, and in this respect, are in continuous exploration. Compared with other algorithms, the ml algorithm has improved positioning accuracy by about 70%, 65%, and 30%. Increasing the number of nodes in the transmission signal can greatly reduce the number of hops between nodes, correspondingly reducing the hop distance error, correspondingly reducing the distance estimation error, and improving the positioning accuracy. It can solve the technical barriers of interactive installation art faster.

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“…Multi-Agent is a distributed computing method developed in recent years. By defining individual behaviors of a single Agent and interactions between individuals, as well as between individuals and the environment, this method can realize group behaviors different from individual behaviors [4].…”

Section: Introductionmentioning

confidence: 99%

Research on Information Fusion Algorithm Based on Multi-Agent Group Decision Mechanism

Tian¹,

Jin²,

Huang³

et al. 2022

Advances in Transdisciplinary Engineering

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Aim at the problem of rough and low precision in the classifier fusion of sorting layer output, an information fusion algorithm based on multi-agent theory is presented. This algorithm proposes based on multi-agent as classifier combination. It applies the collating of individual agent are classified with Clustering Analysis method, according to the result of classification, multi-agent is classified into several groups and the weight coefficient is given to every agent. By building relative matrixes between sort set and sort making order, and classified sort set on relative matrixes, the method constructs an optimization decision making model. According to fused group consensus in rank making. After those are achieved, combination decision is made. According to experiments on speech emotion recognition database, the result of the experience indicates the model is simple and feasible.

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Research on Micro-Grid Group Intelligent Decision Mechanism under the Mode of Block-Chain and Multi-Agent Fusion

Cited by 5 publications

References 18 publications

Intelligent Assessment of Mental Health Based on Multisource Information Fusion

Intelligent Assessment of Mental Health Based on Multisource Information Fusion

The Intelligent Integration of Interactive Installation Art Based on Artificial Intelligence and Wireless Network Communication

Research on Information Fusion Algorithm Based on Multi-Agent Group Decision Mechanism

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