Edge Computing to Solve Security Issues for Infectious Disease Intelligence Prevention

Nowadays, with the rapid development of intelligent technology, it is urgent to effectively prevent infectious diseases and ensure people's privacy. The present work constructs the intelligent prevention system of infectious diseases based on edge computing by using the edge computing algorithm, and further deploys and optimizes the privacy information security defense strategy of users in the system, controls the cost, constructs the optimal conditions of the system security defense, and finally analyzes the performance of the model. The results show that the system delay decreases with the increase of power in the downlink. In the analysis of the security performance of personal privacy information, it is found that six different nodes can maintain the optimal strategy when the cost is minimized in the finite time domain and infinite time domain. In comparison with other classical algorithms in the communication field, when the intelligent prevention system of infectious diseases constructed adopts the best defense strategy, it can effectively reduce the consumption of computing resources of edge network equipment, and the prediction accuracy is obviously better than that of other algorithms, reaching 83%. Hence, the results demonstrate that the model constructed can ensure the safety performance and forecast accuracy, and achieve the best defense strategy at low cost, which provides experimental reference for the prevention and detection of infectious diseases in the later period.

Intelligent Technology and Automation in Hospitality

Based on the growing evolution of intelligent technology and automation in the provision of services, this chapter analyzes its incorporation into the 4- and 5-star national hotels and its consequent impact on decision and consumer choice. In this sense, the authors proceeded to characterize the technologies with greater appetence concerning the reality of the hotel industry. Furthermore, they investigated the appreciation made by the guests, researched trends, advantages, inconveniences, changes in behavior and procedures, given the COVID-19 pandemic.

Opportunities and Challenges for Field Experiment Equipment

Modern seed industry development could contribute up to 40 percent to increase agricultural production and effi ciency. Mechanization of fi eld experiments is an important means to improve the effi ciency and precision of fi eld breeding experiments. There is a big gap in the mechanization level and development of fi eld experiments in diff erent countries of the world. The International Association on Mechanization of Field Experiments established in 1964 has played a great role in promoting the development of fi eld experiment mechanization in the world. At present, the advanced fi eld experiment equipment is mainly concentrated in international manufacturers such as Wintersteiger in Austria, Almaco in the United States, Haldrup and Zürn in Germany. As a great agricultural country, China’s demand for rice and maize seeds, the major food crops in the last 10 years, is about 250 million kilograms and 1.15 billion kilograms, respectively. A large amount of demand for seeds prompted China’s fi eld experiment mechanization that has made great progress. The research team of Qingdao Agricultural University has developed 16 types of new plot planters and plot harvesters which have been popularized and applied in China. But diff erent crops, planting patterns and regional characteristics put forward higher requirements for adaptability of fi eld experiment equipment. The precision of the seeder, the cleaning performance of the seeding and harvesting equipment and the intelligent technology of the equipment need to be further improved. In future development, more attention should be paid to the integration of modern information technology and intelligent technology into fi eld test equipment, to improve operational effi ciency and accuracy.

Systematic Literature Review of the Role of Fuzzy Logic in the Development of Cryptographic and Steganographic Techniques

The rapid technological revolution had an impact on a variety of information security techniques. This will be important because information can be confidential to some entities that communicate with each other. Internet in intelligent technology will be a loophole for cryptanalysts to look for information vulnerabilities. Cryptography is a method of securing data and information which is currently still supported by the development of the method. However, the data and information that are secured will still have vulnerabilities in their delivery. The combination of fuzzy logic techniques with cryptographic techniques has been applied to support the improvement of information security. This study applies a systematic literature review method, to find articles that combine the two fields. The purpose of this study is to see the development of information security techniques with a fuzzy logic approach. As a result, it is found that the development of cryptographic and steganographic techniques that utilize fuzzy logic to help improve information security. In addition, the use of fuzzy logic is also not limited to increasing security. Fuzzy logic also plays a role in selecting the best key and password and issuing random numbers from a Pseudo-Random Number Generator (PRNG).

Application of Artificial Intelligence and Wireless Networks to Music Teaching

The study is aimed at improving student’s learning ability and constructing an intelligent, all-around, and three-dimensional innovative classroom by using intelligent technology. Middle school C is taken as the research object. First, the current situation of music teaching in middle school C is analyzed, and an intelligent music teaching mode suitable for middle school C is designed. Second, the intelligent music teaching mode is applied in the actual teaching process, and students’ feelings for intelligent music classrooms are explored by a questionnaire survey. Finally, the teaching effect is analyzed. The results show that 96.7% of the students hold a positive attitude towards the new teaching mode, indicating that contemporary students have relatively high adaptation to and recognition with the development of artificial intelligence (AI). 84% of the students are not particularly skilled in the operation of the intelligent network platform, and 9.3% of the students believe that the operation of the platform is relatively difficult. Therefore, teachers should teach students how to use tablets. 95% of the students hold that teachers can quickly find teaching resources related to the course content on the tablet and introduce them to students in the teaching process, indicating that teachers are familiar with the usage of new teaching equipment. On the whole, students have a good experience of the new teaching mode. This new teaching mode based on AI is a response to the new course concept proposed in China.