Application of Data Mining Methods in Internet of Things Technology for the Translation Systems in Traditional Ethnic Books

Luo, Yujing; Xiang, Yueting

doi:10.1109/access.2020.2994551

Cited by 8 publications

(11 citation statements)

References 27 publications

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“…Luo et al applied the improved genetic algorithm to data hiding and publishing, which can better protect the privacy of original data from leaking [15]. Li et al applied multiobjective particle swarm optimization to multiclassification [16].…”

Section: Research On Dmmentioning

confidence: 99%

Construction and Effect Analysis of College Students’ Physical Education Teaching Mode Based on Data Mining Algorithm

Wang

2022

Journal of Sensors

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With the wide application of computer technology, communication technology, network technology, and multimedia technology in modern education, teaching methods tend to be diversified and scientific. Based on the DM (data mining) algorithm, this paper implements a sports achievement management system. Through this system, the efficiency of inputting and counting students’ achievements can be improved, and teachers can be freed from the complicated achievement management. Aiming at the problem that SVM (Support Vector Machine) is slow in training large sample sets in DM classification, a DM classification algorithm based on improved SVM, PSO_SVM, is proposed, which applies the density of adjacent samples to the design of membership function to reduce the influence of noise points on classification. The results show that the training time of this algorithm is increased by 54.26 s and 55.69 s compared with SVM and K -means, respectively, and the accuracy is increased by 35.62%. The results obtained by the DM algorithm will be helpful for teachers to diagnose teaching problems and construct PET (physical education teaching) model for college students with characteristics.

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Section: Research On Dmmentioning

confidence: 99%

Construction and Effect Analysis of College Students’ Physical Education Teaching Mode Based on Data Mining Algorithm

Wang

2022

Journal of Sensors

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“…Under the guidance of power demand and the government, the scale return of China's power enterprises has changed in three stages, from increasing to constant to decreasing. At present, most Chinese enterprises, especially the energy industry, have gradually stabilized their demand for electric energy, and the change of electricity price will not have a significant impact on the change of enterprise production [5].…”

Section: Introductionmentioning

confidence: 99%

Data Transmission and Processing Analysis of Power Economic Management Terminal Based on the Internet of Things

Tang¹

2022

Journal of Sensors

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In order to explore how the power economy can realize the data transmission and processing of the management terminal, this paper presents a data transmission and processing analysis of the power economy management terminal based on the Internet of Things. This method explores the research on how to realize the data transmission and processing of management terminal in power economy through the key technical problems and solutions of information recommendation based on the Internet of Things. The research shows that the efficiency of data transmission and processing analysis of power economic management terminal based on the Internet of Things is about 65% higher than that of traditional data analysis. Improve the overall quality of employees in power enterprises and inject new vitality into the development of power economy.

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“…Bilingual Evaluation Understudy (BLEU) reveals the performance of translation algorithms [40], as expressed in Eq. ( 34).…”

Section: Rementioning

confidence: 99%

Deep Learning in Computational Linguistics for Chinese Language Translation

Feng

Xie

Wei

et al. 2023

ACM Trans. Asian Low-Resour. Lang. Inf. Process.

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Applying Artificial Intelligence to Chinese language translation in CL (Computational Linguistics) is of practical significance for economic boosts and cultural exchanges. In the present work, the Bi-directional Long Short-Term Memory (BiLSTM) network is employed to extract Chinese text features regarding the overlapping semantic roles in Chinese language translation and hard-to-converge training of high-dimensional text word vectors in text classification during translation. Besides, the AlexNet is optimized to extract the local features of the text and meanwhile update and learn network parameters in the deep network. Then, the attention mechanism is introduced to build a forecasting algorithm of Chinese language translation based on BiLSTM and improved AlexNet. At last, the forecasting algorithm is simulated to validate its performance. Some state-of-art algorithms are selected for a comparative experiment, including Long Short-Term Memory, Regions with Convolutional Neural Networks features, AlexNet, and Support Vector Machine. Results demonstrate that the forecasting algorithm proposed here can achieve a feature identification accuracy of 90.55%, at least an improvement of 4.24% over other algorithms. Besides, it provides an Area Under the Curve of above 90%, a training duration of about 54.21s, and a test duration of about 19.07s. Regarding the performance of Chinese language translation, the algorithm proposed here provides a Bilingual Evaluation Understudy (BLEU) value of 28.21 on the training set, with a Performance Gain Ratio (PGR) reaching 111.55%; on the test set, its BLEU reaches 40.45, with a PGR of 129.80%. Hence, this forecasting algorithm is notably superior to other algorithms, which can enhance the machine translation performance. Through experiments, the Chinese language translation algorithm constructed here improves translation performance while ensuring a high correct identification rate, providing experimental references for the later intelligent development of Chinese language translation in CL.

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Application of Data Mining Methods in Internet of Things Technology for the Translation Systems in Traditional Ethnic Books

Cited by 8 publications

References 27 publications

Construction and Effect Analysis of College Students’ Physical Education Teaching Mode Based on Data Mining Algorithm

Construction and Effect Analysis of College Students’ Physical Education Teaching Mode Based on Data Mining Algorithm

Data Transmission and Processing Analysis of Power Economic Management Terminal Based on the Internet of Things

Deep Learning in Computational Linguistics for Chinese Language Translation

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