期刊：
ACM International Conference Proceeding Series,2022年:1–6
通讯作者：
Liu, Changhua(liuch@whpu.edu.cn)
作者机构：
[He, Xuyan; Liu, Changhua] School of Mathematics and Computer Science, Wuhan Polytechnic University, Hubei, Wuhan, China;[Guan, Wenjie] Oil Crops Research Institute, Chinese Academy of Agricultural Sciences, Hubei, Wuhan, China
会议名称：
6th International Conference on Computer Science and Application Engineering, CSAE 2022
会议时间：
October 21, 2022 - October 22, 2022
会议地点：
Virtual, Online, China
会议论文集名称：
CSAE '22: Proceedings of the 6th International Conference on Computer Science and Application Engineering
摘要：
<jats:title>Abstract</jats:title>
<jats:p>Aerial images of brassica napus in field were taken by UAV equipment but often contained unnecessary areas, which caused interferences and inconveniences to the subsequent study of identification of flowering stage by brassica napus images. To solve above problems, YOLO-V4 object detection algorithm based on Convolutional Neural Network (CNN) is adopted to build a model to detect brassica napus distribution area in aerial images, and model is trained iteratively by training data sets and setting initial parameters. As a result, the mean average precision (mAP) of the object detection model reached 96.24%, and the average loss is only 0.5843. In addition, the generalization and robustness ability of model have been evaluated by testing data sets. Conclusion shows the model proposed in this paper can indeed achieve an application of object detection and automatic labeling in aerial brassica napus images with a good performance.</jats:p>
期刊：
ACM International Conference Proceeding Series,2021年:1–6
作者机构：
[Liu, Zhenqi] University of Sheffield, Automatic Control and Systems Engineering, South Yorkshire, Sheffield, United Kingdom;[Liu, Changhua; Chen, Jiaxi] School of Mathematics and Computer Science, Wuhan Polytechnic University, Hubei, Wuhan, China
会议名称：
5th International Conference on Computer Science and Application Engineering, CSAE 2021
会议时间：
October 19, 2021 - October 21, 2021
会议地点：
Virtual, Online, China
会议论文集名称：
CSAE '21: Proceedings of the 5th International Conference on Computer Science and Application Engineering
期刊：
Journal of Physics: Conference Series,2020年1575(1):012094 ISSN：1742-6588
通讯作者：
Zhao, Juanjuan
作者机构：
[Zhao, Juanjuan; Liu, Changhua] Wuhan Polytech Univ, Dept Math & Comp, POB 430023, Wuhan, Hubei, Peoples R China.
通讯机构：
[Zhao, Juanjuan] W;Wuhan Polytech Univ, Dept Math & Comp, POB 430023, Wuhan, Hubei, Peoples R China.
会议名称：
5th Annual International Conference on Information System and Artificial Intelligence (ISAI)
会议时间：
MAY 22-23, 2020
会议地点：
Zhejiang, PEOPLES R CHINA
会议主办单位：
[Zhao, Juanjuan;Liu, Changhua] Wuhan Polytech Univ, Dept Math & Comp, POB 430023, Wuhan, Hubei, Peoples R China.
会议论文集名称：
Journal of Physics Conference Series
摘要：
<jats:title>Abstract</jats:title>
<jats:p>According to the “Top Ten Security Vulnerabilities List” (OWASPTop 10) released by OWASP in 2017, SQL injection attacks are still at the top of the list, and there are many ways of SQL injection attacks, which cause great harm. Although there are many vulnerability scanning tools, there is still a high rate of false negatives. Aiming at the current problems of SQL injection vulnerability detection, this paper proposes a scanning tool for SQL injection vulnerabilities. First, use the crawler framework scrapy to obtain the URL associated with the form and the a tag, and segment the URL based on the improved simhash algorithm. Deduplicate the link, then analyze the injection point to modify the URL parameter value injection test, and determine whether there is a vulnerability based on the response result of the server. The experimental results show that the detection method achieves a 96.50% URL deduplication rate in the crawler module, which greatly reduces the rate of false negatives. It is more suitable for detecting whether a website has a SQL injection vulnerability.</jats:p>
期刊：
Lecture Notes in Electrical Engineering,2018年474:727-733 ISSN：1876-1100
通讯作者：
Ruan Ling
作者机构：
[Liu Changhua; Wang Yuling; Ruan Ling] Wuhan Polytech Univ, Coll Math & Comp Sci, Wuhan 430023, Hubei, Peoples R China.
通讯机构：
[Ruan Ling] W;Wuhan Polytech Univ, Coll Math & Comp Sci, Wuhan 430023, Hubei, Peoples R China.
会议名称：
12th KIPS International Conference on Ubiquitous Information Technologies and Applications (CUTE) / 9th International Conference on Computer Science and its Applications (CSA)
会议时间：
DEC 18-20, 2017
会议地点：
Taichung, TAIWAN
会议主办单位：
[Ruan Ling;Liu Changhua;Wang Yuling] Wuhan Polytech Univ, Coll Math & Comp Sci, Wuhan 430023, Hubei, Peoples R China.
