Abstract Free Space Optics has capabilities to transfer multimedia content, and this work addresses this potential. This optical wireless communication has the potential to be used with features such as realization speed, and flow. Cost reduction is possible by using microwaves, telecommunication networks and optical network technologies so that all large, medium and small organisations benefit from them. Optical wireless/laser communication... Free Space Optics has capabilities to transfer multimedia content, and this work addresses this potential. This optical wireless communication has the potential to be used with features such as realization speed, and flow. Cost reduction is possible by using microwaves, telecommunication networks and optical network technologies so that all large, medium and small organisations benefit from them. Optical wireless/laser communication is used with modulated optical rays for developing wireless transmission. Traditional linear combinational techniques are employed for fading elimination, which is called the Selective Combining (SC) technique. It is based on the selection of a branch which is the most significant ratio of the mean power of the signal and the noise power, assuming that the power of the noise in all branches is equal. The MRC that is the Maximum Ratio Combining technique is viewed as equivalent to signal combination. The MRC is performed to enhance the efficiency. Read More Read Less

Abstract This article studies the teaching mode of college English in a network environment based on genetic algorithms and multimedia technology. With the development of information technology, the online environment provides new opportunities and challenges for English teaching. In this environment, students can access more learning resources, but at the same time, they also need to have a certain level of... This article studies the teaching mode of college English in a network environment based on genetic algorithms and multimedia technology. With the development of information technology, the online environment provides new opportunities and challenges for English teaching. In this environment, students can access more learning resources, but at the same time, they also need to have a certain level of information literacy and learning ability. Therefore, exploring teaching models that adapt to this environment has important practical significance. The study adopted methods based on genetic algorithms and multimedia technology to analyze the English learning process in a network environment and develop a teaching plan more aligned with students' needs. This plan fully considers factors such as students' learning styles and cognitive levels and adopts various teaching strategies, such as situational and cooperative learning. At the same time, the study also utilizes multimedia technologies such as speech recognition and artificial intelligence to provide students with a more personalized and intelligent learning experience. This teaching model improves students' English proficiency and cultivates their autonomous and cooperative learning abilities. Read More Read Less

Abstract This article analyzes the visual processing module of table tennis using an offline learning network model. By training and learning a large amount of video data from table tennis matches, offline learning network models can automatically extract features from table tennis movements and accurately perform object detection, trajectory prediction, and action recognition. Unlike traditional visual processing methods, offline learning network... This article analyzes the visual processing module of table tennis using an offline learning network model. By training and learning a large amount of video data from table tennis matches, offline learning network models can automatically extract features from table tennis movements and accurately perform object detection, trajectory prediction, and action recognition. Unlike traditional visual processing methods, offline learning network models have higher accuracy and efficiency. Summarized the advantages and disadvantages of visual processing module analysis for table tennis based on an offline learning network model. Offline learning network models can automatically extract features, reduce manual intervention, and improve processing efficiency. At the same time, this model requires a large amount of training data and computing resources, resulting in high time and computational costs. In future research, offline learning network models can be further optimized to improve their processing speed and accuracy, providing more accurate and efficient visual aids for table tennis players. Read More Read Less