Artificial Intelligence Interactive Design System Based on Digital Multimedia Technology

Liu, Chengcheng

doi:10.1155/2022/4679066

Cited by 6 publications

(4 citation statements)

References 13 publications

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“…Some learners of spoken English fail to master the learning rules of English knowledge points very well, which lead to mistakes in their application process. In addition, the tension during the assessment process, the lack of focus, and many other unfavorable factors can result in a number of errors made by learners of spoken English [8,9]. Compared with the self-study content of spoken English based on the basic knowledge of English, this learning mode is mainly developed based on the error or misunderstanding model of spoken English learners, which can effectively identify the errors or misunderstandings of spoken English learners by self-study.…”

Section: Hmm Across the Statementioning

confidence: 99%

Self-Study System Assessment of Spoken English considering the Speech Scientific Computing Knowledge Assessment Algorithm

Tao¹,

Zhang

2022

Wireless Communications and Mobile Computing

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For the purpose of effectively improving the assessment accuracy of spoken English self-study quality of English learners, a speech scientific computing knowledge assessment algorithm is introduced into the assessment of the self-study system of spoken English. Through the combination of spoken English speech assessment and accuracy detection, a DSP-based self-study assessment system for spoken English is designed. This system is mainly divided into two parts: voice signal processing and hardware circuit design. The features of spoken English self-study speech are extracted based on the multilayer wavelet feature conversion method, and the English pronunciation is detected and analyzed by adaptive filtering based on the characteristic values obtained. The corresponding wavelet entropy features of spoken English self-study speech are automatically assessed and assessed for the self-study quality. Finally, a practical case is analyzed, and the results indicate that the system proposed in this paper has high accuracy and excellent stability in assessing the quality of self-study in spoken English. Hence, it is of practical value in self-study assessment of spoken English.

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Section: Hmm Across the Statementioning

confidence: 99%

Self-Study System Assessment of Spoken English considering the Speech Scientific Computing Knowledge Assessment Algorithm

Tao¹,

Zhang

2022

Wireless Communications and Mobile Computing

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“…For the evaluation of the developed system, digital multimedia technology was applied with the assistance of a case study. 12 Lin 13 has performed a study for the development of a fractal model consisting of self-combined nonlinear function changes based on the applications of cultural symbols grounded on AI. By the efficient integration of nonlinear transformations and multi-parameter adjustments, different kinds of fractal architectures can be obtained automatically.…”

Section: Related Workmentioning

confidence: 99%

“…For the proposed architecture, a detailed analysis of the digital multimedia technique was performed. For the evaluation of the developed system, digital multimedia technology was applied with the assistance of a case study 12 . Lin 13 has performed a study for the development of a fractal model consisting of self‐combined nonlinear function changes based on the applications of cultural symbols grounded on AI.…”

Section: Related Workmentioning

confidence: 99%

Ranking the art design and applications of artificial intelligence and machine learning

Nazir

2022

J Software Evolu Process

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Art design is a method of conveying human feelings and emotions, particularly via the use of visual structures such as paintings or sketches. Every element of our life, including arts and crafts, has been positively affected by the introduction of novel technologies such as artificial intelligence (AI) and machine learning (ML). In today's modern environment, these technologies have altered the techniques of art creation, consumption, and distribution. In today's environment, ML and human emotions are the two most important aspects for interactive and high‐quality art design. Whereas traditional learning systems can be extremely effective in the teaching and learning process of art‐related subjects, AI and ML can be very effective in the teaching and learning process of art‐related subjects for the advancement of learners' artistic skills. The productive and active role of AI and ML in the developments and advancements of art design has been given a very comprehensive and detailed overview in this study. Following a detailed examination of the existing techniques, distinct characteristics have been identified. Six of the most widely utilized features were chosen from the literature to execute the analytical hierarchy process (AHP). For ranking the options based on the weights derived by AHP, the TOPSIS algorithm is used. The option with the best performance came in first, whereas the one with the worst performance came in last.

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“…Artificial intelligence technology has been applied in many people's lives, and it can liberate more labor. It can also replace people to perform more dangerous and complex tasks, which has brought great convenience to people's lives [9,10]. e core of artificial intelligence technology being able to perform these tasks is that it can process these complex data very well.…”

Section: Introductionmentioning

confidence: 99%

Design and Optimization of Hotel Management Information System Based on Artificial Intelligence

Zhou

Liu

2022

Scientific Programming

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With the improvement of people’s living standards, the traditional hotel management model has been unable to meet the needs of customers. The traditional hotel management model also has the defects of low efficiency. The hotel management model is also gradually developing towards the direction of intelligence. The combination of artificial intelligence technology and hotel management can not only improve the operation efficiency of the hotel but also solve the operation cost of the hotel. For customers, artificial intelligence technology can bring smarter and more comfortable accommodation conditions to customers. This study uses the convolutional neural network (CNN) and long short-term memory (LSTM) technology in artificial intelligence technology to conduct related research on the in-store mode, entertainment mode, sleep mode, and out-of-store mode in hotel management. CNN is used to extract the spatial features of hotel management, and LSTM is used to extract the temporal features of hotel management. The research results show that CNN and LSTM technology can help hotel management achieve intelligent management and optimization. CNN and LSTM techniques can better predict related factors in-store entry mode, entertainment mode, and sleep mode. For the correlated predictions of these four modes, the maximum prediction error is only 2.81%. The linear correlation coefficient also reached above 0.96. The relevant parameters of artificial intelligence technology are also suitable for the optimization and design of hotel information systems.

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Artificial Intelligence Interactive Design System Based on Digital Multimedia Technology

Cited by 6 publications

References 13 publications

Self-Study System Assessment of Spoken English considering the Speech Scientific Computing Knowledge Assessment Algorithm

Self-Study System Assessment of Spoken English considering the Speech Scientific Computing Knowledge Assessment Algorithm

Ranking the art design and applications of artificial intelligence and machine learning

Design and Optimization of Hotel Management Information System Based on Artificial Intelligence

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