WIRELESS NETWORK COMMUNICATION AS A VITAL TOOL FOR LIVESTOCK MANAGEMENT AND PRODUCTION IN NIGERIA

Author(s):  
Peiying Zhang ◽  
Gagangeet Singh ◽  
Neeraj Kumar ◽  
Mohsen Guizani

2021 ◽  
Vol 2021 ◽  
pp. 1-14
Author(s):  
Lingyu Dong

In recent years, wireless sensor network technology has continued to develop, and it has become one of the research hotspots in the information field. People have higher and higher requirements for the communication rate and network coverage of the communication network, which also makes the problems of limited wireless mobile communication network coverage and insufficient wireless resource utilization efficiency become increasingly prominent. This article is aimed at studying a support vector regression method for long-term prediction in the context of wireless network communication and applying the method to regional economy. This article uses the contrast experiment method and the space occupancy rate algorithm, combined with the vector regression algorithm of machine learning. Research on the laws of machine learning under the premise of less sample data solves the problem of the lack of a unified framework that can be referred to in machine learning with limited samples. The experimental results show that the distance between AP1 and AP2 is 0.4 m, and the distance between AP2 and Client2 is 0.6 m. When BPSK is used for OFDM modulation, 2500 MHz is used as the USRP center frequency, and 0.5 MHz is used as the USRP bandwidth; AP1 can send data packets. The length is 100 bytes, the number of sent data packets is 100, the gain of Client2 is 0-38, the receiving gain of AP2 is 0, and the receiving gain of AP1 is 19. The support vector regression method based on wireless network communication for regional economic mid- and long-term predictions was completed well.


2021 ◽  
Vol 2021 ◽  
pp. 1-18
Author(s):  
Dongmei Zhang

The experience of learning a series of English languages is not only a series of knowledge acquisition but also a process that enables students to have a continuous psychological transformation. The development of English learning psychology determines the final effect of English learning. Translation ability is an indispensable ability in English learning. The development of translation ability has a profound impact on English learning psychology. Domestic and foreign scholars have conducted related investigations on English translation ability and college students’ English learning psychology, but these studies have not established a connection between English translation ability and psychological barriers and have not clearly solved the problem. There is also a large gap in research methods. Theory. This research is aimed at exploring the interaction between translation ability and psychological barriers in English learning under the background of wireless network communication and promoting the improvement of college students’ comprehensive English ability. This article first discusses the content of English translation and expounds the types of learning disabilities and the specific manifestations of learning disabilities. Then, through the questionnaire survey method, it analyzes the translation ability and English learning psychology of the current college students in our country. Finally, the Apriori data association algorithm is used to explain the relationship between them, and specific solutions are proposed based on the survey results. Studies have shown that 72.6% of students have poor English translation skills, and 69.4% of students have psychological obstacles in English learning. Apriori = 0.89 , close to 1, indicating that college students’ English translation ability is closely related to psychological barriers.


2021 ◽  
Vol 2021 ◽  
pp. 1-12
Author(s):  
Ze Gao ◽  
Lin Lin

With the development of technology and the times, the development of new media technology and interactive installation art has slowly entered the vision of our audience. It is simply “silent art.” The public no longer “retires” like the traditional one, but participates in it and swims with the artists in the world of art. This article is aimed at studying the application of artificial intelligence and wireless network communication to the application of interactive installation art. Through the optimization of various communication equipment and the continuous advancement of various algorithms, we can strengthen the communication and connection between our interactive installation art. This article proposes that with the addition of artificial intelligence and wireless network communication, the interaction between artists and audiences may be more fun, so that we can be more colorful in our lives. The experimental results in this article show that when performing wireless network communication, the communication delay rate of the intelligent algorithm with artificial intelligence is much lower than that of the one without it, which shows that they can better transmit information to the control end. When affected by the outside world, the bit error rate of wireless network communication will increase, however, the artificial intelligence algorithm is added to his impact range, and his bit error rate increase is obviously not so high. In the process of wireless network communication, the improved algorithm is definitely better than the nonimproved algorithm in terms of energy consumption, communication delay, and bit error rate. Through the enhancement of signals and the selection of materials for communication equipment, these are all in continuous progress, and in this respect, are in continuous exploration. Compared with other algorithms, the ml algorithm has improved positioning accuracy by about 70%, 65%, and 30%. Increasing the number of nodes in the transmission signal can greatly reduce the number of hops between nodes, correspondingly reducing the hop distance error, correspondingly reducing the distance estimation error, and improving the positioning accuracy. It can solve the technical barriers of interactive installation art faster.


2021 ◽  
Vol 2021 ◽  
pp. 1-9
Author(s):  
Ling Zhen

English mobile learning platform is affected by external interference signals, resulting in poor remote transmission ability of English information. To solve this problem, a design of the English mobile learning platform based on the GSM-R wireless network communication system is proposed. The overall framework of the English mobile learning platform is designed. MSP430F149 single-chip microcomputer is selected as the hardware microcontrol unit of the platform, and R-C reset circuit is designed. The reset circuit is used to reset the single-chip microcomputer platform to prevent external signal interference. The modem is initialized according to AT instruction, and the main program flow of the single-chip microcomputer of the English mobile learning platform is designed on this basis. GSM-R wireless network communication system is used to plan the course module. After planning, the platform operation management function is designed, the interactive learning environment is established, the user information template is designed, and the platform database is built. The experimental results show that the designed English mobile learning platform can meet the learning needs and improve students’ comprehensive ability after application.


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