Speech corpora subset selection based on time-continuous utterances features

Dong, Luobing; Guo, Qiumin; Wu, Weili

doi:10.1007/s10878-018-0350-2

Cited by 44 publications

(32 citation statements)

References 13 publications

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“…In order to improve the coverage of the new SNS network platform of college Chinese teaching, to improve the coverage of the network, and to carry out the route repair design, the network teaching platform for college Chinese teaching is designed by using the network method of SNS network [12,13]. The routing node optimization design of the new SNS network platform for college Chinese teaching covers the related node n1, n2 for the empty edge node set.…”

Section: Node Coverage Of Sns Network Platformmentioning

confidence: 99%

RETRACTED ARTICLE: Research on new college Chinese teaching strategy based on SNS network platform and improved particle swarm optimization

Bian

Chaomin

Zhao

2020

J Wireless Com Network

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With the rapid development of network technology, college Chinese teaching needs to be reformed as so to adapt to the network environment. This paper puts forward a new strategy of college Chinese teaching based on SNS (social network services) network platform, constructs the model of college Chinese teaching resource allocation, and designs the college Chinese teaching network teaching platform using SNS network method. The routing nodes of SNS network platform are optimized, and the improved PSO (particle swarm optimization) is used to optimize the location of SNS network platform nodes. Based on the node distribution model of PSO, the node overlay connectivity graph of the new SNS network platform of college Chinese teaching is reconstructed to realize the network coverage optimization. The experimental results show that the proposed SNS network platform has better performance of resource scheduling and network connectivity.

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Section: Node Coverage Of Sns Network Platformmentioning

confidence: 99%

RETRACTED ARTICLE: Research on new college Chinese teaching strategy based on SNS network platform and improved particle swarm optimization

Bian

Chaomin

Zhao

2020

J Wireless Com Network

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“…According to the above discussion, the models established in this paper are as follows: According to the collected panel data of listed commercial banks, this paper firstly carries out the fixed effect regression and then carries out the Hausman test according to the obtained parameters. The test results show that the individual effect has nothing to do with the regression variables, so the random effect model is used to regression the sample panel data, and the equation results are as follows [21,22]:…”

Section: Block Chain Financial Risk Assessmentmentioning

confidence: 99%

Research on the risk of block chain technology in Internet finance supported by wireless network

Chen

Zhang

Zhou

2020

J Wireless Com Network

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In this paper, a cascaded depth learning framework is constructed. A cascaded depth model is successfully implemented by studying and analyzing the specific feature transformation, feature selection, and classifier algorithm used in the framework. A feature combination method based on enhanced feature selection and classification is proposed according to the different features learned by each layer of the model. Combining block chain cryptography technology, distributed technology, consensus accounting mechanism of technology innovation, transaction data encapsulation into specific format data unit, encapsulated into a linear list in chronological order, using encryption algorithm trading transparency, traceability of data, security, credibility, and uniqueness in financial data analysis. The experimental results show that with the increase of the number of model layers, our method can significantly improve the classification accuracy. This result also verifies that the proposed model can learn more effective data representation features and also verifies the effectiveness of the proposed feature combination method.

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“…During the operation of the loading excavator, various sensors are used to monitor various data of the cooling system [18,19]. These data include video and pictures of the radiator, temperature parameters, etc [20,21]. Using sensors to obtain large amounts of data for condition assessment can help us adjust the cooling system to achieve the best condition [22].…”

Section: Test Instrument and Data Acquisition Point Arrangementmentioning

confidence: 99%

Heat Dissipation Performance of Loader-Digger Cooling System based on Simulation and Test Data

Chen

Liu

et al. 2020

Preprint

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High temperature of the radiator group is harmful to the power system and hydraulic system. In order to improve the heat dissipation performance of the loader, the flow field characteristics of the cooling chamber are analyzed by simulation and heat balance test. Firstly, the mathematical model of heat flow is established. Secondly, the flow field in the cooling chamber under different speeds is simulated based on CFX. And then the influence of fan position and internal flow field distribution on radiator performance is studied. Through the simulation of four different distances, it is concluded that the optimal distance between cooling fan and radiator is 76mm. Finally, a testing system is built for the temperature acquisition of engine water radiator, torque converter oil radiator, hydraulic oil radiator and air-to-air cooler of the hood structure, and then the simulation results are verified. The test results show that the heat dissipation performance of the whole machine meets the requirements after optimization, and the optimized scheme can make the loader-digger in an efficient and energy-saving operation state.

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Speech corpora subset selection based on time-continuous utterances features

Cited by 44 publications

References 13 publications

RETRACTED ARTICLE: Research on new college Chinese teaching strategy based on SNS network platform and improved particle swarm optimization

RETRACTED ARTICLE: Research on new college Chinese teaching strategy based on SNS network platform and improved particle swarm optimization

Research on the risk of block chain technology in Internet finance supported by wireless network

Heat Dissipation Performance of Loader-Digger Cooling System based on Simulation and Test Data

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