Optimal Algorithm for Shared Network Communication Bandwidth in IoT Applications

Mhmed, ..; Al-Masri, Ahmed N.

doi:10.54216/ijwac.020103

Cited by 6 publications

(1 citation statement)

References 17 publications

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“…As a new emerging language, information-assisted speech recognition based on the Internet of ings network has attracted widespread attention from people from all walks of life and developed rapidly after its emergence [11]. At the same time, due to the development of network communication technology and the high popularity of the Internet, the development of network communication technology has also brought new challenges to the speech recognition system, making people have more needs for the translation of Internet of ings information [12]. And these demands will provide more extensive, flexible, and diverse and more pertinent, more practical, and more maneuverable texts for interactive English translation based on the Internet.…”

Section: Design and Implementation Of Interactive English Translation...mentioning

confidence: 99%

Design and Implementation of an Interactive English Translation System Based on the Information-Assisted Processing Function of the Internet of Things

Mo¹

2022

Mathematical Problems in Engineering

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As a new type of language expression, interactive translation is widely used in English, and based on the Internet of Things technology, text harmony and glyphs are combined for information exchange. This design adopts B/S mode to realize the relational query of document content. This paper adopts the B/S architecture mode to design, implement, and test its functional modules and related data analysis to provide a friendly interactive English translation system service to the user group. In this paper, the development of the Internet of Things information-assisted translation system mainly focuses on the semantic embedding and correlation analysis based on the Internet of Things as well as the realization of interactive functions. On this basis, an interactive English translation process based on corpus and text data sets is designed and completed. This method can not only effectively solve the problems of large amount of text and high difficulty of expression but also can make the translation more concise and clear to achieve the required expression effect of the original text. At the same time, the system can automatically perform statistical analysis on the translation results to verify the accuracy and completeness of the translation results, providing reference value for subsequent function implementation. In this paper, we mainly study the realization of interactive functions and propose solutions to its existing problems and deficiencies. The experimental results show that the average BLEU of the system in this paper is 0.985, which indicates that the translation quality of the system is good and the interaction with users is improved.

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Section: Design and Implementation Of Interactive English Translation...mentioning

confidence: 99%

Design and Implementation of an Interactive English Translation System Based on the Information-Assisted Processing Function of the Internet of Things

Mo¹

2022

Mathematical Problems in Engineering

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Information Fusion and Its Intelligent Sensing for Learning Intervention Model of Educational Big Data

Pei

2021

Wireless Communications and Mobile Computing

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With the continuous development of science and technology, a large number of devices containing high technology began to appear in people’s lives. With the popularity of big data, it not only drives the development of the whole information industry in society but also leads to different degrees of innovation and development in the reform industry worldwide. The purpose of this paper is to study how to use information fusion and its intelligent sensing technology to play an active role in the education industry, to help students identify problems in the learning process, to give timely intervention and guidance, and to help students complete their learning tasks with high quality. This paper proposes to use information fusion and its intelligent sensing technology to take advantage of learning analytics to collect, organize, analyze, and guide the learning data generated by students in the learning process and then to generate interventions that can have an impact on learning and improve learning methods for students. The experimental results of this paper show that after the learning intervention, the students’ frequency in discussion and communication was 72 in the first four weeks and reached 300 after the intervention, and the learning resources changed from 95 to 370 after the learning intervention, which is very significant progress.

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Structure Optimization of Carbon Nanotubes Based on Swarm Intelligence Algorithm and Evolutionary Computation

Liu

2022

Journal of Nanomaterials

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Swarm intelligence algorithm is an emerging evolutionary computing technology, which has become the focus of more and more researchers. It has a very special connection with artificial life, especially evolutionary strategies and genetic algorithms. The swarm intelligence algorithms you see include genetic algorithm, particle swarm optimization algorithm, and ant colony algorithm. This part of the content has been supplemented in the article. Evolutionary computing is a group-oriented random search technology and method produced by simulating the evolutionary process of organisms in nature. Evolutionary computing is based on natural selection strategy: survival of the fittest, elimination of the unfit, and individuals with large fitness values have a higher survival probability than individuals with small fitness values. The purpose of this paper is to study the structure optimization of carbon nanotubes based on swarm intelligence algorithm and evolutionary computation. It is expected to optimize the structure of carbon nanotube materials with the help of intelligent evolution algorithm, so that it can be used in more fields. In this paper, the preparation process and principle of carbon nanotube-based gas sensors are studied, and the preparation process of the side-heated gas sensor is selected. This paper focuses on the strain sensing performance of carbon nanotubes, analyzes various parameters that characterize the sensing performance, and proposes feasible technical routes for improvement, optimization and improvement. The experimental results in this paper show that when different proportions of oxides are added, the tensile strength of carbon nanotube materials is increased by about 8%, and the elastic modulus is increased by up to 40%. After adding CNFs, the tensile strength increased by up to 18%, and the elastic modulus increased by up to 50%.

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Optimal Algorithm for Shared Network Communication Bandwidth in IoT Applications

Cited by 6 publications

References 17 publications

Design and Implementation of an Interactive English Translation System Based on the Information-Assisted Processing Function of the Internet of Things

Design and Implementation of an Interactive English Translation System Based on the Information-Assisted Processing Function of the Internet of Things

Information Fusion and Its Intelligent Sensing for Learning Intervention Model of Educational Big Data

Structure Optimization of Carbon Nanotubes Based on Swarm Intelligence Algorithm and Evolutionary Computation

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