Takagi–Sugeno Fuzzy System and MTF-based Panchromatic Sharpening

Ali, Syed Taha; Riaz, Muhammad Mohsin; Ghafoor, Abdul; Javed, Umer; Baig, Mirza Waqar; Arif, Madeha

doi:10.1007/s00500-014-1526-z

Cited by 4 publications

(2 citation statements)

References 30 publications

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“…Mobile terminals such as smartphones and tablet PCs have become popular, and mobile terminal-based English learning third-party applications have become increasingly popular [3], such as Apps for listening, speaking, reading, and writing, and have emerged in large numbers [5]. Mobile terminals have incomparable advantages of traditional vocabulary teaching, such as portability and no time and space limitations, and [6] believes that vocabulary learning is a continuous process with a lifelong nature, and the application of mobile terminals to junior high-school English vocabulary teaching is to cultivate secondary school students' lifelong ability to learn English vocabulary. What are the impacts of mobile terminals on English vocabulary teaching in junior high schools and what are the corresponding strategies to face these impacts?…”

Section: Introductionmentioning

confidence: 99%

Construction of College English Mobile Learning Model Based on Distributed Terminal

Wang¹,

Lei

2021

Scientific Programming

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The quality of English teaching cannot be separated from the students’s accumulation and mastery of vocabulary, and sufficient vocabulary can ensure that students feel easy and comfortable in the language application. However, there are still some problems in teaching English vocabulary in colleges and universities, such as single presentation method, lack of real context, and other difficulties. With the rapid development of mobile Internet, the share of smart mobile devices among college students has increased, which in turn has laid the foundation for the development of new learning modes. The mobile terminal-mediated learning mode in English classroom teaching has become a hot topic of research nowadays, of which English vocabulary teaching has become a typical example. This paper is designed as a system model of edge computing, in which the user terminal device can connect wirelessly with each MECS and offload the tasks to be processed on the MECS, which helps the user terminal device to process and return the results to the user terminal device. The research in this paper also provides a basis for students’ independent and lifelong learning of English words and for schools’ information technology to serve English vocabulary teaching and learning.

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Section: Introductionmentioning

confidence: 99%

Construction of College English Mobile Learning Model Based on Distributed Terminal

Wang¹,

Lei

2021

Scientific Programming

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“…Still, there are some areas that need to be improved. First, there is waste when the robot looks for the minimum parameter (cell value); that is, if there are more than two identical minimum values, the last one is chosen [20]. Second, when costs and benefits contain the same value, the robot can be stuck in one location in the search space, even if the other area has not been searched.…”

Section: Analysis Of Simulation Resultmentioning

confidence: 99%

Artificial Intelligence Optimization Design Analysis of Robot Control System

Guo¹,

Wang²,

Wang³

et al. 2022

Journal of Sensors

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In order to improve the accuracy of robot control system, a scheme based on artificial intelligence is proposed. On the basis of the software environment of reinforcement learning simulation platform, a kind of rounding scheme in dynamic environment is designed and simulated. The results show that when the inclination sensor is placed on an inclined plane of 300 and collected for ten times, the maximum error of measurement that can be seen from the experimental data is 0.40. The relative included angles were 30°, 45°, 60°, and 90°, respectively, by compass sensor. The measurement was carried out, and the average value of each angle was measured 5 times. It can be seen from the experimental data that the measurement error meets the requirements of the system. Therefore, it is feasible to use artificial intelligence algorithm to optimize the robot control system.

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Efficient pattern classification model with neuro-fuzzy networks

Meher

2016

Soft Comput

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Takagi–Sugeno Fuzzy System and MTF-based Panchromatic Sharpening

Cited by 4 publications

References 30 publications

Construction of College English Mobile Learning Model Based on Distributed Terminal

Construction of College English Mobile Learning Model Based on Distributed Terminal

Artificial Intelligence Optimization Design Analysis of Robot Control System

Efficient pattern classification model with neuro-fuzzy networks

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