With the exponential growth of various network resources, the use of search engine has become one of the most basic skills of everyone in today's society, and an efficient information retrieval model is also of more significance. The traditional text-based music information retrieval method can retrieve music data by inputting text information such as song name, composer, singer and album name. The content-based music information retrieval queries the target music through the input music melody information. In the actual music information retrieval scene, there is interaction between the user and the retrieval model. The user gives feedback on the retrieval results, and the retrieval model returns a new page of document according to this feedback. The existing ranking learning model regards ranking as a one-time process, ignores user feedback, and the ranking effect needs to be improved. With the increasing demand for digital music information and the continuous expansion of application fields based on massive music data sets, content-based music information retrieval method is attracting more and more researchers' attention.
Physical movements are an important part of people’s activities and communication. The movements of the hands and upper limbs are relatively fast, and the postures in the lower part of the ordinary camera will produce smears, and the images will be clearly obtained only when they are stopped, which seriously affects the recognition speed. This article takes the hands-guessing game in the communication robot as an example. Using a high-speed camera, the corresponding posture can be recognized when the posture is not completed during the hands-guessing game. It is expected that postures can be recognized in a more timely manner in human posture recognition, and the sense of delay in communication can be reduced. The corresponding data is collected and the model is generated after deep learning. In the fast-moving stage of postures, using a ordinary camera, the percentage of time that different postures are unrecognizable is between 50% and 60%. Compared with ordinary cameras, using high-speed cameras, the unrecognizable time percentage of different postures is reduced from 50%-60% to 0%, and the effect is obvious. In human-computer interaction, using ordinary cameras to infer postures, the people participating in the test have a significant sense of delay. With a high-speed camera, this feeling of delay is barely noticeable.
In recent years, economic and information globalization, e-commerce booming, and the application and popularization of the Internet and mobile payments have accelerated the development of the e-commerce industry. People are relying more and more on the Internet for shopping, and all kinds of shopping needs can basically be met online. For e-commerce companies, the construction of e-commerce service platforms can help promote the improvement of corporate economic benefits; for users, it is greatly satisfy their shopping needs. Based on this, the purpose of this paper is to study the construction of e-commerce service platform under hybrid genetic algorithm. This article first conducts a system analysis, expounds the design of an e-commerce service platform based on hybrid genetic algorithm, and clarifies the overall design framework and specific functional modules of the e-commerce service platform. Finally, this article has carried on the performance and the function test to the system. The test results show that the average response time of system login is less than 2 seconds when there are more than 10 to 1500 users concurrently; when more than 10 to 2000 users are concurrently, the business data declaration time is less than 4 seconds. It can be seen that the system has good performance.
In recent years, with the rapid development and wide application of modern information technology, the management environment and management concept of enterprises have been changed. The environment of enterprise accounting has changed greatly, and the accounting data system came into being. The application of accounting data system not only brings convenient and fast information services to enterprises, but also brings many security risks due to its own openness and the vulnerability of data storage media. With the expansion of the scope of use of computers, it is common to use computers for corruption, fraud and criminal activities. For example, the data stored on computer disks is easy to be tampered with; The data of the database is highly centralized, and unauthorized personnel may invade the enterprise's database through the computer network, browse all data files, copy, forge and destroy important data of the enterprise. Because computer crime has great concealment and harmfulness. Therefore, it is particularly important to strengthen the security of accounting data. This paper uses DES algorithm to encrypt accounting data.
Prefabricated buildings have been highly recognized for their advantages such as ease of construction and construction, and the scope of popularity is becoming wider and more numerous, and there are still a large number of building construction plans to use this type of building form. Under such circumstances, what we need to do most is the design of prefabricated buildings, especially through BIM technology application to improve the design quality of prefabricated buildings, to better guide the construction of prefabricated buildings. To ensure the efficiency and quality of building construction, and reasonably control costs. This article first analyzes the advantages of BIM technology in the design of prefabricated buildings, and then mainly introduces the design of prefabricated buildings based on BIM and conducts research and analysis on BIM technology application in building construction.
