Vehicle Artificial Intelligence System Based on Intelligent Image Analysis and 5G Network

Liu, Baojing; Han, Chenye; Liu, Xinxin; Li, Wei

doi:10.1007/s10776-021-00535-6

Cited by 20 publications

(15 citation statements)

References 41 publications

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“…With the coming of knowledge age and information society, information data are developing at an unprecedented speed. In the face of a large number of data in the communication network, the effectiveness of natural intelligence is getting lower, so it is an important topic to use artificial intelligence to realize the intelligent processing of information data 1 . Artificial intelligence was first proposed by Dartmouth society in 1965.…”

Section: Introductionmentioning

confidence: 99%

“…In the face of a large number of data in the communication network, the effectiveness of natural intelligence is getting lower, so it is an important topic to use artificial intelligence to realize the intelligent processing of information data. 1 Artificial intelligence was first proposed by Dartmouth society in 1965. During the meeting, McCarthy, Minsky, Rochester, and Shannon jointly discussed the machine simulation of human intelligence and created the subject of artificial intelligence.…”

Section: Introductionmentioning

confidence: 99%

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Retracted: Artificial intelligence point‐to‐point signal communication network optimization based on ubiquitous clouds

Lin

Deng

et al. 2020

Int J Communication

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Summary At present, the application of communication network has spread to every area of social life. The progress of network technology has driven the development of information technology industry and the advancement of cloud computing. With the application of artificial intelligence and deep learning technology, the network becomes more and more intelligent, so the application of artificial intelligence theory in communication network optimization modeling is more extensive. In this paper, we propose the ubiquitous clouds framework and apply the artificial intelligence optimization scheme to the point‐to‐point (P2P) signal transmission network optimization scheme. For different application scenarios, this paper analyzes and experiments the proposed method. The experimental results show that the proposed method makes full use of the advantages of communication network resources which improves the efficiency of communication network optimization and also reduces the optimization cost to a certain extent compared with the state‐of‐the‐art approaches.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Retracted: Artificial intelligence point‐to‐point signal communication network optimization based on ubiquitous clouds

Lin

Deng

et al. 2020

Int J Communication

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show abstract

“…For multifault detection, the method is not applicable when the uncertain state needs to be processed and recorded to cover all necessary information. Liu et al [19] proposed a new Bayesian classifier model that removes the basic assumption of independence between Naive Bayesian features. Aiming at the problem that the performance improvement of the nearest neighbor classifier is limited by the noisy, redundant, and weakly correlated features, Rahman et al [20] proposed a new feature weighting scheme based on the combination of the imputation method and the Kolmogorov-Smirnov noparameter statistical test.…”

Section: Related Workmentioning

confidence: 99%

Fault Diagnosis of Subway Mechanical Equipment Based on 5G Intelligent Sensor Network Signal Processing

2022

Journal of Sensors

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The application of traditional feature extraction methods in subway mechanical fault diagnosis has attracted the attention of researchers. Based on the 5G intelligent sensor network signal processing theory, this paper constructs a fault diagnosis model for subway machinery and equipment and analyzes the effectiveness of the information redundancy calculation method proposed in this paper by using the on-site vibration data of subway units. The model is obtained by analyzing the entropy characteristics of the vector vibration signal in each bearing section of the subway machinery and equipment. The entropy value quantitatively reflects the vibration complexity of the rotor in the section from different angles and solves the problem of data quantitative analysis. In the simulation process, based on the 5G intelligent sensor network signal and the fuzzy mean clustering information fusion method, in the process of identifying the fault state of the subway unit, a relatively optimistic identification result was obtained. The experimental results show that, no matter whether the Gaussian kernel or the polynomial kernel is selected, the number of kernel principal components whose cumulative contribution rate is greater than 0.85 decreases with the increase of the kernel parameter, and the fault identification support rate is 85%, that is, the diagnosis results of 3 sets of sample data are nonrolling element faults, which significantly improves the performance of the bearing.

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“…Gallium nitride (GaN)-based high electron mobility transistors (HEMTs) are popular for radiofrequency (RF) front-end applications due to their excellent properties, especially with the development of wireless communication systems [1][2][3] in which the evaluation of linearity is essential for ensuring the * Author to whom any correspondence should be addressed. quality of the communication signal [4][5][6]. However, current RF communication systems with GaN HEMTs are challenging in terms of meeting the necessary requirements combined with linearity, power-added efficiency (PAE) and output power density (P out ) [7,8].…”

Section: Introductionmentioning

confidence: 99%

Investigation of multi-fingers drain field plate in dual-threshold coupling AlGaN/GaN high electron mobility transistors for optimizing linearity at high electrical fields in the Ka band

Wang

Chen

et al. 2023

Semicond. Sci. Technol.

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GaN-High-electron-mobility transistors (GaN-HEMTs) were fabricated and investigated in detail to improve the linearity at high operation voltage. The scheme of dual-threshold coupling was adopted to mitigate the transconductance (Gm) non-linearity, and multi-finger drain field plate was employed to alleviate the high electric field. The proposed devices yielded Gm plateau of 5.5 V, 10 dB improvement in output third order intercept power. The load-pull measurements at 30 GHz delivered peak power-added-efficiency of 52.5 %, and saturation output-power-density of 5.5 W/mm, whose 2.4 dB improvement in gain compression, and 2 dB enhancement in 1-dB compression point, respectively.

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Vehicle Artificial Intelligence System Based on Intelligent Image Analysis and 5G Network

Cited by 20 publications

References 41 publications

Retracted: Artificial intelligence point‐to‐point signal communication network optimization based on ubiquitous clouds

Retracted: Artificial intelligence point‐to‐point signal communication network optimization based on ubiquitous clouds

Fault Diagnosis of Subway Mechanical Equipment Based on 5G Intelligent Sensor Network Signal Processing

Investigation of multi-fingers drain field plate in dual-threshold coupling AlGaN/GaN high electron mobility transistors for optimizing linearity at high electrical fields in the Ka band

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