Precision electronic warfare (PREW) is an application to solve many problems that are difficult to solve with current electronic warfare methods. However, the current issues related to designing jamming waveforms suit...
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Various information systems in libraries generate a large amount of transaction data during their operation. these data contain rich learning behavior information of learners, as well as their interests. If the intere...
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ISBN:
(纸本)9798400708305
Various information systems in libraries generate a large amount of transaction data during their operation. these data contain rich learning behavior information of learners, as well as their interests. If the interest features in these data are mined, it will be possible to achieve the goal of "birds of a feather flock together", which is helpful for clustering learning resources and mining user interest groups. Community detection technology is such a means to achieve this goal, and the research on this technology has positive significance for improving the intelligent service level of libraries. this paper first analyzes the key data for implementing community detection, which contains user's interest information. then designs the system architecture and proposes a local community discovery algorithm based on the core-skeleton. Finally, explores the application value of virtual learning communities.
作者：
Tongmonwit, BoonyakonTamee, KreangsakNaresuan University
Faculty of Science Department of Computer Science and Information Technology Phitsanulok65000 Thailand Naresuan University
Research Center for Academic Excellence in Nonlinear Analysis and Optimization Faculty of Science Department of Computer Science and Information Technology Phitsanulok65000 Thailand
Counting number of object is very important for data collection. this research had experimented in counting number of motorcycle with object detection and tracking technology by using YOLOv4 model for object detection...
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Withthe wide application of the AFDX (Avionics Full Duplex Switched Ethernet) network, the demand for AFDX terminal system testing increases daily. However, the content of AFDX is complex, the testing-related work is...
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Children are the future of this world. therefore, teaching them to have a better future is very important. Also, as the adults we have to motivate them to overcome the obstacles and challenges they face throughout the...
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BERT is widely used pre-trained language model in the field of sentiment analysis. the success of the BERT lies in the powerful role of the self-attention mechanism in Transformer. BERT has shown to be effective at ca...
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information sharing is becoming popular for its efficiently processing and modeling in intelligent era. During the information sharing procedure, especially in the Industrial Internet area, some problems should be con...
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Withthe rapid development of the Internet, SaaS applications delivered as services through internet become an important alternative of traditional software. While using the services, users need real time usage inform...
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ISBN:
(纸本)9781467302395
Withthe rapid development of the Internet, SaaS applications delivered as services through internet become an important alternative of traditional software. While using the services, users need real time usage information, and they also need to dig out useful knowledge. As a result, data processing and data mining techniques are designed to cope with such problems, and using log data is an effective method to record the SaaS usage information in a standard format. However, as the size of data grows, traditional distributed log data processing systems are not able to processing massive log data from SaaS applications with millions of users. this paper proposes a mass log data processing and data mining methods based on Hadoop to achieve scalability and performance. the model, process, architecture, and implementation of the data processing and mining methods are proposed, and the experimental results is shown and analyzed to prove the effectiveness of the methods.
For the past decades, the prevalence of dermatological disorders, especially human skin diseases, has been rising. the majority of these diseases are contagious and are also based on visual perceptions. Although many ...
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We investigate the problem of solving large sparse linear complementarity problems. First, we propose an extrapolated relaxation Hermitian and skew-Hermitian splitting iteration method for solving large sparse linear ...
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