A model-based collaborate filtering algorithm based on stacked AutoEncoder

Yu, Ming; Quan, Tianqi; Peng, Qinglong; Yu, Xu; Liu, Lei

doi:10.1007/s00521-021-05933-8

Cited by 107 publications

(74 citation statements)

References 16 publications

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“…In the same direction, the distance between the inner concentric rings increases with the reference of the focus ring. In contrast, the distance between the outer concentric rings decreases [22,23]. e formula is modified as follows:…”

Section: Large-scale Hierarchical Information Visualizationmentioning

confidence: 99%

Designing a Teaching Assistant System for Physical Education Using Web Technology

Zhang

2021

Mobile Information Systems

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An efficient and effective management is mandatory for the success of every organization, especially educational institutes. Following the course curriculum and completing it in time are beneficial for the students and the colleges’ reputation in educational institutes. In this paper, intelligent management of physical education curriculum is designed using a Web-based teaching assistant system. The multilayer designed system provides convenience for teachers and students of health and physical education. The data layer collects input data from users and transmits it to the storage layer after being compiled by the decoder. The layer uses memory to save the transmitted data and integrate the saved data into the expansion chip and transmit it to the transmission layer. The Web server at this layer outputs the transmitted data in the form of an HTML structure file through a CGI program and feeds back the output to the browser of the application layer. The man-machine interaction interface of the application layer uses a large-scale hierarchical information visualization method to show data on the browser to users. The experimental results show that the system has comprehensive functions, fast processing speed, and low energy consumption. It has a good page display effect, which is in line with the user’s visual cognition; the recall rate of curriculum scheduling data and curriculum selection data is always higher than 96%, and the data analysis ability is excellent.

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Section: Large-scale Hierarchical Information Visualizationmentioning

confidence: 99%

Designing a Teaching Assistant System for Physical Education Using Web Technology

Zhang

2021

Mobile Information Systems

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“…The hypervisors are the virtual machine monitors. As a result, the attackers get full access to all virtual machines and the OS hosting those virtual machines [55], [78], [93].…”

Section: ) Infrastructure As a Service (Iaas)mentioning

confidence: 99%

Sensor-Cloud Architecture: A Taxonomy of Security Issues in Cloud-Assisted Sensor Networks

et al. 2021

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The orchestration of cloud computing with wireless sensor network (WSN), termed as sensor-cloud has recently gained remarkable attention from both the academia and industry. It enhances the processing and storage capabilities of the resources-constrained sensor networks in various applications such as healthcare, habitat monitoring, battlefield surveillance, and disaster management etc. The diverse nature of sensor network applications imposes processing and storage limitation on the sensor networks, which can be overcome through integrating them with the cloud paradigm. Sensor-cloud offers numerous benefits such as flexibility, scalability, collaboration, automation, virtualization with enhanced processing and storage capabilities. However, these networks suffer from limited bandwidth, resources optimization, reliability, load balancing, latency , and security threats. Therefore, it is very important to secure the sensor-cloud architecture from various security attacks to preserve its integrity. The main components of the sensor-cloud architecture which can be attacked are : (i) the sensor nodes; (ii) the communication medium; and (iii) the remote cloud architecture. Although, security issues of these components are extensively studied, in the existing literature; however, a detailed analysis of various security attacks on the sensor-cloud architecture is still required. The main objective of this research is to present state-of-theart literature in the context of security issues of the sensor-cloud architecture along with their preventive measures. Moreover, several taxonomies of the security attacks from the architectural perspective of the sensor-cloud along with their innovative solutions are also provided.

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“…For a specific layer user, it can call some services provided by the current layer protocol entity through service primitives. In the process, the current layer protocol entity will also call service primitives to return some status information to the user [32,33]. e IEEE 802.15.4 and Zigbee alliance are committed to making low energy consumption, low-rate transmission, and low cost as important goals.…”

Section: Acquisition Of Drama Resources On the Network Platformmentioning

confidence: 99%

An Effective Quantum Genetic Algorithm Based on Drama Resource Mining Using Wireless Sensing Technology

Dong

2021

Scientific Programming

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Wireless sensor technology has penetrated various domains of today’s life and plays a vital role in the advanced technology. Numerous researchers have combined this outstanding technology with other fields such as resource mining, industry, healthcare, automobile system, gaming industry, and dramas. However, in traditional resource mining, long mining time leads to incomplete mining results along with low accuracy. In order to improve the effect of resource mining, we have proposed an effective Quantum Generic Algorithm (QGA) based on drama resource mining by using wireless sensor technology. In our proposed scheme, we have combined the RFID technology of wireless sensor with wireless network protocol stack for the purpose of collecting drama resources on the network platform. We have classified the drama resources on the network platform by using QGA based on the results of resources collection. Additionally, we have mined the semantic association features of frequent patterns of the drama resources on the platform and combined with the fuzzy attribute feature detection method. The experimental results show that this method is superior to the traditional methods in terms of resource mining time, mining results’ comprehensiveness, and mining results’ accuracy, which shows that this method has practical application value.

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A model-based collaborate filtering algorithm based on stacked AutoEncoder

Cited by 107 publications

References 16 publications

Designing a Teaching Assistant System for Physical Education Using Web Technology

Designing a Teaching Assistant System for Physical Education Using Web Technology

Sensor-Cloud Architecture: A Taxonomy of Security Issues in Cloud-Assisted Sensor Networks

An Effective Quantum Genetic Algorithm Based on Drama Resource Mining Using Wireless Sensing Technology

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