The implementation of a Beijing Opera interactive display system based on motion recognition

Hou, Jianfeng; He, Shanshan; Heng, Zilong; Zeng, Wei; Yu, Nu

doi:10.1109/icaica52286.2021.9498245

Cited by 3 publications

(2 citation statements)

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“…We use the similarity evaluation equation to calculate the similarity between the data sets after dividing them. The calculation process consists of three steps: (1) We obtain the partition number, the number of data sets to be divided, and the size of each data set. (2) We use the similarity evaluation equation to compute the conditional entropy and information entropy for each data set.…”

Section: Combine Similar Itemsmentioning

confidence: 99%

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A fast Apriori algorithm for telecom fraud

Yi,

Shi,

Liu

2023

Fifth International Conference on Artificial Intelligence and Computer Science (AICS 2023)

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Telecom fraud has become a pressing issue, with most research targeting effective countermeasures. However, extracting valuable rules from fraud data to improve case handling efficiency remains under-explored. The Apriori algorithm, commonly used for association rule mining, faces challenges due to its low efficiency and scalability arising from numerous frequent and candidate item sets. To address this problem, we propose a fast Apriori algorithm. The main idea is as follows: First, we establish a similarity measurement model based on information entropy, and combine similar items to significantly reduce the number of frequent item sets and candidate item sets. Second, we optimize the process of generating frequent item sets and candidate item sets and reduce the number of database scans. Third, we apply the improved algorithm to mine the data set of telecom fraud cases in a city, and obtain some meaningful association rules that reflect the relationships among the duration of the crime, the reporting time, and the amount of fraud. These rules provide a new perspective and idea for investigating telecom fraud cases.

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Section: Combine Similar Itemsmentioning

confidence: 99%

“…Telecom fraud is a type of crime that uses the telephone or Internet to deceive victims remotely and without physical contact, aiming to obtain financial benefits 1 . In recent years, the incidence of telecom network fraud has been high and growing rapidly.…”

Section: Introductionmentioning

confidence: 99%

A fast Apriori algorithm for telecom fraud

Yi,

Shi,

Liu

2023

Fifth International Conference on Artificial Intelligence and Computer Science (AICS 2023)

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Design and Application of Cultural Digital Display System based on Interactive Technology

Peng

2023

2023 International Conference on Data Science and Network Security (ICDSNS)

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Research on Chinese traditional opera costume recognition based on improved YOLOv5

2023

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In order to protect the cultural heritage of opera costumes, establish visual labels for opera costumes, accelerate the establishment of a database for opera costumes, and increase the dissemination of opera culture, we propose an improved You Only Look Once (YOLO) v5-based opera costume recognition model for opera costumes with a wide range of styles, rich colors, and complex stage environments. By adding Coordinate Attention (CA) mechanism to the backbone of YOLOv5, the network can focus on more interesting information when extracting features; replacing the original feature pyramid module with a weighted bidirectional feature pyramid module in the Neck part to achieve efficient fusion of features; replacing the original loss function GIOU with DIOU to improve the detection accuracy and convergence speed. The average detection accuracy of the improved YOLOv5 model reaches 86.3% and its inference speed reaches 28 ms per frame through experiments on the homemade Chinese costume dataset, which improves the average detection accuracy by 3.1% compared with the original model, and has good robustness in detecting complex scenes such as covered targets, light-colored costumes, cross targets, dense targets and different angles. The model meets the requirements for accuracy and real-time costume recognition in complex theatrical environments.

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The implementation of a Beijing Opera interactive display system based on motion recognition

Cited by 3 publications

References 0 publications

A fast Apriori algorithm for telecom fraud

A fast Apriori algorithm for telecom fraud

Design and Application of Cultural Digital Display System based on Interactive Technology

Research on Chinese traditional opera costume recognition based on improved YOLOv5

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