Proceedings of the 2022 6th International Conference on Electronic Information Technology and Computer Engineering最新文献

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Design and implementation of general integration component for automation platform 自动化平台通用集成组件的设计与实现
Xiaolu Zhou, Ying Liu, Shuai Xu
{"title":"Design and implementation of general integration component for automation platform","authors":"Xiaolu Zhou, Ying Liu, Shuai Xu","doi":"10.1145/3573428.3573540","DOIUrl":"https://doi.org/10.1145/3573428.3573540","url":null,"abstract":"The form translation component that provides support for the integration of ITSM and third-party business platforms is characterized by good reusability, high development efficiency, and strong dynamic integration capability, rapid integration of multiple business scenarios is realized after application, but during the integration of ITSM and automation platform, the relationship mapping between technical service catalog items and automation tools is added, the one-to-one mapping function between business forms and business service catalog items provided by the form translation component makes ITSM unable to select corresponding tools from multiple automated tools. It is urgent to upgrade the form translation component to realize the one to many mapping function between business forms and business service catalog items.","PeriodicalId":314698,"journal":{"name":"Proceedings of the 2022 6th International Conference on Electronic Information Technology and Computer Engineering","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115735646","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Color Search: An efficient region proposal generation method 颜色搜索:一种高效的区域建议生成方法
Kaiyuan Zheng, Zhiyong Zhang, Changzhen Qiu
{"title":"Color Search: An efficient region proposal generation method","authors":"Kaiyuan Zheng, Zhiyong Zhang, Changzhen Qiu","doi":"10.1145/3573428.3573460","DOIUrl":"https://doi.org/10.1145/3573428.3573460","url":null,"abstract":"Inspired by the process of searching for targets by the human eyes, our proposed target candidate region generation method focuses on the color information of the target. Current mainstream target detection algorithms often incorporate an Region Proposal Network (RPN) component for finding out the possible locations and sizes of targets, which facilitates the training and optimization of the backbone network. The RPN network uses more convolutional layers, which makes it impossible to be applied in embedded platforms that require high real-time performance and does not take full advantage of the target's a priori information. In this paper, We convert the image from RGB color model to HSV model and reduce dimensionality to form a color set. After quantizing the color set, we can obtain the Q-HSV of the image by which to find out the possible locations of the target efficiently. With this method, we can find out the possible areas of the target using only one RGB template of the target, and it is not affected by target viewpoint changes, shape changes, etc. Our approach can significantly reduce the image data to be processed by recognition and detection algorithms by more than 80%.","PeriodicalId":314698,"journal":{"name":"Proceedings of the 2022 6th International Conference on Electronic Information Technology and Computer Engineering","volume":"33 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121869083","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Magnetic fluid deformation mirror for large scale aberration correction 用于大尺度像差校正的磁流体变形镜
D. Fu, Zhizheng Wu, Haichun Ding
{"title":"Magnetic fluid deformation mirror for large scale aberration correction","authors":"D. Fu, Zhizheng Wu, Haichun Ding","doi":"10.1145/3573428.3573534","DOIUrl":"https://doi.org/10.1145/3573428.3573534","url":null,"abstract":"With the increasing use of adaptive optics and large telescope projects, new requirements have been placed on wavefront correctors. The magnetic fluid deformable mirror is a new type of wavefront corrector that changes the ferrofluid surface by changing the strength of the external magnetic field. The advantage is that it can provide larger stroke deformation on the basis of satisfying the continuity of the reflecting surface. In this paper, in order to achieve 1mm aberration correction, the device and driving coils of the magnetic fluid deformable mirror are discussed. The coil with built-in permalloy material magnetic column is used as the driver of the magnetic fluid deformable mirror, and the parameters of the coil are designed and optimized. In order to meet the 1mm aberration correction requirement, the influence of the actuator on the magnetic fluid deformation was theoretically analyzed. The Comsol software was used for simulation, and the magnetic fluid deformation mirror was built for experimental verification. The results show that the designed driving coil can support the millimeter-level deformation of the magnetic fluid.","PeriodicalId":314698,"journal":{"name":"Proceedings of the 2022 6th International Conference on Electronic Information Technology and Computer Engineering","volume":"10 10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125933044","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
A Deep Learning-based Recognition Model for Chinese Book Subject Words 基于深度学习的中文图书主题词识别模型
Li Lin, Xiaoxi Guo
{"title":"A Deep Learning-based Recognition Model for Chinese Book Subject Words","authors":"Li Lin, Xiaoxi Guo","doi":"10.1145/3573428.3573734","DOIUrl":"https://doi.org/10.1145/3573428.3573734","url":null,"abstract":"In order to effectively identify subject words in Chinese books and documents, this paper proposes an automatic recognition model for subject words based on deep learning. The model first builds word vectors with the word to vector (Word2vec) model to obtain the feature information at the semantic granularity level of the vocabulary, and then uses the deep neural network (DNN) model to train the feature weights of the vocabulary to predict the probability that the keywords belong to the subject words to achieve binary classification. Finally, experimental results on a library bibliographic data set show that the TopicDNN model has a prediction accuracy of 85.32%, which has better performance for subject words recognition than traditional machine learning methods.","PeriodicalId":314698,"journal":{"name":"Proceedings of the 2022 6th International Conference on Electronic Information Technology and Computer Engineering","volume":"69 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125958027","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Improved YOLOv5 lightweight grassland smoke detection algorithm 改进的YOLOv5轻量级草地烟雾检测算法
Jiaxin Su, Zhiqiang Liu, Xu Zhang, Wenjing Li, Mixue Zhu
{"title":"Improved YOLOv5 lightweight grassland smoke detection algorithm","authors":"Jiaxin Su, Zhiqiang Liu, Xu Zhang, Wenjing Li, Mixue Zhu","doi":"10.1145/3573428.3573724","DOIUrl":"https://doi.org/10.1145/3573428.3573724","url":null,"abstract":"To address the problems of low detection performance and large memory consumption of traditional smoke and fire detection methods in complex scenes such as grasslands. Based on the YOLOv5 model, a YOLOv5-GDE optimization model is proposed. The C3 module in YOLOv5 is replaced by GhostC3 with a smaller number of parameters, and some standard convolution blocks are replaced by depth-separable convolutions to make the model more lightweight. Finally, to solve the problem of unstable target regression frame, the EIoU loss function is introduced, which effectively improves the convergence speed and detection accuracy of the model. Experimental results on the homemade grassland smoke dataset show that the optimized model reduces the number of parameters and computational effort by 65.4% and 65.8%, respectively, compared with the original model, and the model size is only 36.8% of the original model, which is more suitable for smoke target detection in grassland scenes and more suitable for deployment in embedded devices with limited computational power, under the premise of ensuring detection accuracy.","PeriodicalId":314698,"journal":{"name":"Proceedings of the 2022 6th International Conference on Electronic Information Technology and Computer Engineering","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130570080","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Research on the Application of Digital Education Resource Data Security Sharing Based on Blockchain and Access Control 基于区块链和访问控制的数字教育资源数据安全共享应用研究
Jiao Peng, Shulin Yang, Xiang Li, Meiqi Zhou, Yongliang Huang
{"title":"Research on the Application of Digital Education Resource Data Security Sharing Based on Blockchain and Access Control","authors":"Jiao Peng, Shulin Yang, Xiang Li, Meiqi Zhou, Yongliang Huang","doi":"10.1145/3573428.3573639","DOIUrl":"https://doi.org/10.1145/3573428.3573639","url":null,"abstract":"With the rapid development of online education, the security sharing of digital education resources has become a hot topic. Blockchain technology is difficult to be tampered with, decentralized and other characteristics, suitable for protecting the copyright of digital education resources, but the on-chain data is transparent and open, there are hidden dangers of on-chain data security. Secondly, blockchain has limited storage capacity and is not suitable for storing a large number of digital educational resources. The education resource access control model proposed in this paper combines distributed file system with blockchain, which stores the summary information of education resource data. Based on the one-to-many sharing scenario of digital education resources, Ciphertext-Policy Attribute Based Encryption is adopted to implements fine-grained access control. Based on the storage demand of massive education data, IPFS is used to distribute all kinds of digital education resource files to share the storage pressure of blockchain.","PeriodicalId":314698,"journal":{"name":"Proceedings of the 2022 6th International Conference on Electronic Information Technology and Computer Engineering","volume":"84 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131235315","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Performance of interleaved CA-Polar concatenated codes in VLC System 交错ca -极性级联码在VLC系统中的性能
Wenkai Liu, Wen-Hsu Chen, Menglong Wu
{"title":"Performance of interleaved CA-Polar concatenated codes in VLC System","authors":"Wenkai Liu, Wen-Hsu Chen, Menglong Wu","doi":"10.1145/3573428.3573607","DOIUrl":"https://doi.org/10.1145/3573428.3573607","url":null,"abstract":"The emerging visible light communication (VLC) technology, which has the advantages of high communication speed, security, and indoor lighting, has become a research hot point of indoor wireless communication technology. As the only forward error correction (FEC) coding technology theoretically proven to achieve Shannon's capabilities, Polar codes are adopted to improve communication performance in VLC systems. This paper proposes concatenated CRC-aided polar codes (CA-Polar codes) schemes with interleaving techniques for VLC systems. The results show that it can effectively correct errors in VLC systems. Compared to the polar codes, the CA-Polar codes are more suitable as the inner code of the concatenated polar codes. The experimental results demonstrate that the RS-CA-Polar scheme has a more significant descent slope. Under BER (10-6), it requires 1.3dB less signal-to-noise ratio than BCH-CA-polar scheme.","PeriodicalId":314698,"journal":{"name":"Proceedings of the 2022 6th International Conference on Electronic Information Technology and Computer Engineering","volume":"17 13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131239060","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Design and Simulation of 1.2kV Semi-Super Junction FRD with Vertical Variation Doping 垂直变化掺杂的1.2kV半超结FRD设计与仿真
Yuefeng Wu, Yu Wu, Xintian Zhou, Feng Liu, Lei Zong
{"title":"Design and Simulation of 1.2kV Semi-Super Junction FRD with Vertical Variation Doping","authors":"Yuefeng Wu, Yu Wu, Xintian Zhou, Feng Liu, Lei Zong","doi":"10.1145/3573428.3573500","DOIUrl":"https://doi.org/10.1145/3573428.3573500","url":null,"abstract":"A 1200V vertical variable doped semi-super junction fast recovery diode (VVD-Semi-SJ-FRD) is presented in this paper. In super junction structure, P-pillar and drift region are needed to maintain charge balance. As a result, the reverse breakdown voltage of the semi-super junction fast recovery diode is very sensitive to the doping concentration of P-pillar, resulting in a narrow process window for ion implantation of P-pillar. The structure proposed in this paper uses three epitaxial layers, the epitaxial layer near the side of the P-type region and the epitaxial layer below the P-pillar is low-doping, and the middle is high-doping. By analyzing the influence of P-pillar concentration on reverse breakdown voltage and the electric field distribution at different concentrations, it is shown that the proposed structure can effectively reduce the sensitivity of reverse breakdown voltage to P-pillar doping concentration, thus enlarges the process window of P-pillar ion implantation.","PeriodicalId":314698,"journal":{"name":"Proceedings of the 2022 6th International Conference on Electronic Information Technology and Computer Engineering","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129882629","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Virtual Network Function Resource Requirements Prediction Model Based on CNN-GRU 基于CNN-GRU的虚拟网络功能资源需求预测模型
Chunqiao Mao, Peng Yi, Dan Li, Juan Shen
{"title":"Virtual Network Function Resource Requirements Prediction Model Based on CNN-GRU","authors":"Chunqiao Mao, Peng Yi, Dan Li, Juan Shen","doi":"10.1145/3573428.3573627","DOIUrl":"https://doi.org/10.1145/3573428.3573627","url":null,"abstract":"The rise of network function virtualization (NFV) technology makes the realization of network function change from hardware middleware to virtual network function (VNF). The existing methods allocate fixed resources to each VNF instance, but this resource allocation method will cause resource waste, which will affect the quality of service. The resource requirements prediction model solves the resource allocation problem by predicting the change of resource requirements. In this paper, deep learning is used to solve the regression prediction problem, and a VNF resource requirements prediction model based on convolutional neural network (CNN) and gated recurrent unit (GRU) is proposed. Compared with other single model and combined model, the experimental results show that the prediction error rate of the proposed model is reduced by 23.3%.","PeriodicalId":314698,"journal":{"name":"Proceedings of the 2022 6th International Conference on Electronic Information Technology and Computer Engineering","volume":"404 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115865667","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Ensemble Learning for Diabetic Foot Ulcer Segmentation based on DFUC2022 Dataset 基于DFUC2022数据集的集成学习糖尿病足溃疡分割
P. Xu, Xin Wu, Yanyi Li, Ejaz Ul Haq, Jianping Yin, Kuan-Ching Li
{"title":"Ensemble Learning for Diabetic Foot Ulcer Segmentation based on DFUC2022 Dataset","authors":"P. Xu, Xin Wu, Yanyi Li, Ejaz Ul Haq, Jianping Yin, Kuan-Ching Li","doi":"10.1145/3573428.3573737","DOIUrl":"https://doi.org/10.1145/3573428.3573737","url":null,"abstract":"In order to increase the segmentation impact of the Diabetic Foot Ulcer Challenge 2022 dataset, we train a selection of popular deep learning segmentation algorithms and improve training methods, such as adding Dice term to loss function, employing transfer learning and poly learning rate update strategy, etc., in this paper. Experiments show that our method is effective, we get a Dice score of 0.7045, which is better than the official baseline result of 0.6277. Moreover, we integrate the above segmentation models using four ensemble methods to evaluate segmentation performance, such as Averaging, Weighting, Voting, and Stacking. We observed that our proposed one-layer CNN stacking network exhibits superior segmentation performance (Dice score: 0.7142) compared to single CNN model and other three ensemble methods. Our performance surpasses the baseline result, placing us in the top 10 in the Diabetic Foot Ulcer Challenge 2022.","PeriodicalId":314698,"journal":{"name":"Proceedings of the 2022 6th International Conference on Electronic Information Technology and Computer Engineering","volume":"391 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116014855","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
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