Research on intelligent optimization of parameters of deurring process with fluid-impact to automobile master cylinder cross hole

Hu, Haiyan; Yang, Jiandong; Tian, Chunlin

doi:10.3233/jifs-169590

Cited by 9 publications

(2 citation statements)

References 4 publications

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“…Collaborative filtering recommendation: it is not related to the domain of recommendation system, and there are two In the literature, the authors designed a collaborative filtering algorithm based on label weighting with time decay and implemented a music recommendation system [13].…”

Section: Related Workmentioning

confidence: 99%

[Retracted] Optimization of an Intelligent Music‐Playing System Based on Network Communication

Zhang

2021

Complexity

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Streaming media server is the core system of audio and video application in the Internet; it has a wide range of applications in music recommendation. As song libraries and users of music websites and APPs continue to increase, user interaction data are generated at an increasingly fast rate, making the shortcomings of the original offline recommendation system and the advantages of the real-time streaming recommendation system more and more obvious. This paper describes in detail the working methods and contents of each stage of the real-time streaming music recommendation system, including requirement analysis, overall design, implementation of each module of the system, and system testing and analysis, from a practical scenario. Moreover, this paper analyzes the current research status and deficiencies in the field of music recommendation by analyzing the user interaction data of real music websites. From the actual requirements of the system, the functional and performance goals of the system are proposed to address these deficiencies, and then the functional structure, general architecture, and database model of the system are designed, and how to interact with the server side and the client side is investigated. For the implementation of data collection and statistics module, this paper adopts Flume and Kafka to collect user behavior data and uses Spark Streaming and Redis to count music popularity trends and support efficient query. The recommendation engine module in this paper is designed and optimized using Spark to implement incremental matrix decomposition on data streams, online collaborative topic model, and improved item-based collaborative filtering algorithm. In the system testing section, the functionality and performance of the system are tested, and the recommendation engine is tested with real datasets to show the discovered music themes and analyze the test results in detail.

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Section: Related Workmentioning

confidence: 99%

[Retracted] Optimization of an Intelligent Music‐Playing System Based on Network Communication

Zhang

2021

Complexity

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“…An incomplete statistical data shows that by the end of summer 2001, the total number of computers connected internationally exceeded 10 million, and the number of Internet users reached more than 26 million. By now, the Internet users are close to half of the number of the country's population, and the international Internet sites and domain names are also continuing to increase rapidly [19][20][21]. e number of e-commerce market has grown in multiples since the initial stage to the rapid development stage.…”

Section: Related Workmentioning

confidence: 99%

[Retracted] Optimization of Intelligent Management System for Crafts Production Based on Internet of Things

Xiao-Hong

2021

Complexity

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Crafts are a special kind of personalized goods that can be personalized with the help of the Internet to better meet consumers’ individuality and make them part of the personalized craft design. The development of information technology has made it possible to grasp personal information and talk to individuals, and the past practice of grasping consumers’ needs by age level has become obsolete, and providing one-to-one product service to customers through the Internet will become a new market growth point. The design and implementation of the system hardware are introduced by focusing on the functional circuits of various sensors of the data collection terminal, The functional circuit of the wireless communication module CC2530, the functional circuit of the microprocessor STM32, and the functional circuit of the collection terminal. In addition, this paper introduces the development environment of IAR software, the implementation of sensor acquisition function, 4 G module communication function, and coordinator network from the software point of view and provides a detailed explanation using program flowcharts. Next, by comparing the three filtering algorithms, an error optimization algorithm can be used to optimize the filtered data errors and obtain better results. By establishing an experimental platform for collecting all kinds of data, a network formation experiment is performed, and the coordinator normally forms the network, and the collected and processed data by the algorithm are matched to the MATLAB simulation platform. The Topix is compared with the exact data measured by the sensor. Finally, calculations show that two dry batteries can be used to maintain the system over 6 months. The system provides power and low-power design is practical and effective.

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Research on mobile real time monitoring technology based on Intelligent mountaineering stick

Hu,

Chang,

Yuan

et al. 2022

2022 International Conference on Intelligent Transportation, Big Data &Amp; Smart City (ICITBS)

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Research on intelligent optimization of parameters of deurring process with fluid-impact to automobile master cylinder cross hole

Cited by 9 publications

References 4 publications

[Retracted] Optimization of an Intelligent Music‐Playing System Based on Network Communication

[Retracted] Optimization of an Intelligent Music‐Playing System Based on Network Communication

[Retracted] Optimization of Intelligent Management System for Crafts Production Based on Internet of Things

Research on mobile real time monitoring technology based on Intelligent mountaineering stick

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