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2021 7th International Conference on Systems and Informatics (ICSAI)最新文献

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Cassava Disease Detection Method Based on EfficientNet 基于EfficientNet的木薯病害检测方法
2021 7th International Conference on Systems and Informatics (ICSAI) Pub Date : 2021-11-13 DOI: 10.1109/icsai53574.2021.9664101
Fei Gao, J. Sa, Zhuoer Wang, Zhong-Yuan Zhao
{"title":"Cassava Disease Detection Method Based on EfficientNet","authors":"Fei Gao, J. Sa, Zhuoer Wang, Zhong-Yuan Zhao","doi":"10.1109/icsai53574.2021.9664101","DOIUrl":"https://doi.org/10.1109/icsai53574.2021.9664101","url":null,"abstract":"The monitoring method of cassava disease in this article is based on HSV color space and EfficientNet, which can improve the monitoring and early warning of cassava virus disease, avoid the transportation and selection of diseased stems, and provide the necessary detection technology to ensure the healthy production of cassava. The HSV color space is used for image preprocessing, which improves the detection accuracy of the target area and reduces the loss of information in the image preprocessing stage. The EfficientNet model trains the preprocessed leaf image and extracts multi-dimensional depth, width, and resolution features.","PeriodicalId":131284,"journal":{"name":"2021 7th International Conference on Systems and Informatics (ICSAI)","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133048400","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: 7
ICSAI 2021 7th International Conference on Systems and Informatics [Front cover] ICSAI 2021第七届系统与信息学国际会议[封面]
2021 7th International Conference on Systems and Informatics (ICSAI) Pub Date : 2021-11-13 DOI: 10.1109/icsai53574.2021.9664020
{"title":"ICSAI 2021 7th International Conference on Systems and Informatics [Front cover]","authors":"","doi":"10.1109/icsai53574.2021.9664020","DOIUrl":"https://doi.org/10.1109/icsai53574.2021.9664020","url":null,"abstract":"","PeriodicalId":131284,"journal":{"name":"2021 7th International Conference on Systems and Informatics (ICSAI)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130025157","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
CT Scan Image Segmentation of Asphalt Mixture Based on Improved U-Net 基于改进U-Net的沥青混合料CT扫描图像分割
2021 7th International Conference on Systems and Informatics (ICSAI) Pub Date : 2021-11-13 DOI: 10.1109/icsai53574.2021.9664039
Zhangli Lan, Lin Huang
{"title":"CT Scan Image Segmentation of Asphalt Mixture Based on Improved U-Net","authors":"Zhangli Lan, Lin Huang","doi":"10.1109/icsai53574.2021.9664039","DOIUrl":"https://doi.org/10.1109/icsai53574.2021.9664039","url":null,"abstract":"In the CT scan image of asphalt mixture, there are common factors such as dense mixture area and uneven illumination, which result in low accuracy of local feature segmentation. Through the introduction of the attention mechanism in U-Net, before fusing the features of each resolution in the encoder with the relating features in the decoder, an attention mechanism is added to make the encoder readjust its output features, which is similar to imitating human attention to achieve the effect of paying attention to multiple details at the same time. Achieve channel enhancement of the local characteristic area of the asphalt mixture, and improving the segmentation ability of the network model to the local characteristic area. Those test outcomes indicate that, compared for the universal segmentation algorithm and the classic U-Net model segmentation algorithm, the methodology of segmentation in this paper has better performance in terms of MPA coefficient, MIoU coefficient and Dice coefficient.","PeriodicalId":131284,"journal":{"name":"2021 7th International Conference on Systems and Informatics (ICSAI)","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123002656","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
Head Pose Tracking Method Based on Face Detection And Stereo Visual SLAM 基于人脸检测和立体视觉SLAM的头部姿态跟踪方法
2021 7th International Conference on Systems and Informatics (ICSAI) Pub Date : 2021-11-13 DOI: 10.1109/icsai53574.2021.9664105
Suibin Huang, Hua Xiao, Peng Han, Jian-jua Qiu, Li Peng, Dongmei Liu, Kaiqing Luo
{"title":"Head Pose Tracking Method Based on Face Detection And Stereo Visual SLAM","authors":"Suibin Huang, Hua Xiao, Peng Han, Jian-jua Qiu, Li Peng, Dongmei Liu, Kaiqing Luo","doi":"10.1109/icsai53574.2021.9664105","DOIUrl":"https://doi.org/10.1109/icsai53574.2021.9664105","url":null,"abstract":"For purpose of solving the fine estimation and real time problems of existing head pose tracking methods, we propose a method based on face detection and stereo visual SLAM algorithm. Firstly, the stereo image is pre-processed by Gaussian filter and the face region is localized using adaptive Haar+Adaboost algorithm. Secondly, we use the improved ORB algorithm to extract the feature points in the image grids and match them through stereo vision technology. The invalid 3D points are excluded according to the depth threshold. Thirdly, we obtain 3D-2D matching relations through projecting mappoints from last frame to current frame. Finally, we obtain the optimized head pose through the Bundle Adjustment and the coordinate system transformation relation. The experiments show that the average error of the method in this paper is about 0.5°, indicating that the method has high precision.","PeriodicalId":131284,"journal":{"name":"2021 7th International Conference on Systems and Informatics (ICSAI)","volume":"131 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115190434","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
Development Study on CBTC Related Techniques Based on Systematically Analyzing Granted Patents of Nippon Signal Company 基于日本信号公司授权专利系统分析的CBTC相关技术开发研究
2021 7th International Conference on Systems and Informatics (ICSAI) Pub Date : 2021-11-13 DOI: 10.1109/icsai53574.2021.9664033
Jiajun Chen, Shuo Ma, Zhangjing Wang, Wei Nai, Y. Xing
{"title":"Development Study on CBTC Related Techniques Based on Systematically Analyzing Granted Patents of Nippon Signal Company","authors":"Jiajun Chen, Shuo Ma, Zhangjing Wang, Wei Nai, Y. Xing","doi":"10.1109/icsai53574.2021.9664033","DOIUrl":"https://doi.org/10.1109/icsai53574.2021.9664033","url":null,"abstract":"Communication based train control (CBTC), which has the advantage of high-precision train positioning without relying on track circuit and realizing real time train-ground wireless communication, has been widely adopted in urban rail transit system. Studying the technical development of CBTC is of great significance for comparing the characteristics and differences of relevant technologies, and mastering these technologies, so as to ensure the operation safety of urban rail transit system and improve its operation efficiency. By considering that Japan started early in the development of rail transit system, and Nippon Signal company is a well-known enterprise in the field of rail transit signal control, in this paper, Nippon Signal company has been set as the target enterprise to understand the development trend of CBTC, its patent development context has been analyzed, the most important technologies reflected in its innovation patents applied including train-borne devices, ground devices, train control system and train have also been discussed in detail.","PeriodicalId":131284,"journal":{"name":"2021 7th International Conference on Systems and Informatics (ICSAI)","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131745207","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: 2
Low Dose CT Noise Artifact Reduction Based on Multi-scale Weighted Convolutional Coding Network 基于多尺度加权卷积编码网络的低剂量CT噪声伪影降噪
2021 7th International Conference on Systems and Informatics (ICSAI) Pub Date : 2021-11-13 DOI: 10.1109/icsai53574.2021.9664134
Jin Liu, Zhenyu Xia, Yanqin Kang, Jun Qiang
{"title":"Low Dose CT Noise Artifact Reduction Based on Multi-scale Weighted Convolutional Coding Network","authors":"Jin Liu, Zhenyu Xia, Yanqin Kang, Jun Qiang","doi":"10.1109/icsai53574.2021.9664134","DOIUrl":"https://doi.org/10.1109/icsai53574.2021.9664134","url":null,"abstract":"Low dose computed tomography becomes increasingly important to alleviate X-ray radiation damage. However, low tube current or short exposure time scanning protocols often lead to degraded CT images with increased amplified spot noise and radial streak artifacts. In this paper, we aims to obtain high-quality images from LDCT image using a multi-scale weighted convolutional coding network (MW-CCN). Referenced by the iterative shrinkage thresholding algorithms (ISTA), we transformed the traditional convolutional sparse coding to its reweighted convolutional representation and learning update form. Further, to extract multi-scale image features we use a series of dilated convolution layers, which promote our model to capture the hierarchy features of different scales. To automatically correct the weights of the feature maps code, the channel attention mechanism is adopted. At last, our method combined the multi-scale image features extraction and weighted convolutional coding with a learning-based deep CNN. The whole network architecture yields better interpretation. Compared with the recent state-of-the-art methods, our network's processing effect is more significant in the experiments.","PeriodicalId":131284,"journal":{"name":"2021 7th International Conference on Systems and Informatics (ICSAI)","volume":"167 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128630862","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: 1
Deep Homography Estimation based on Attention Mechanism 基于注意机制的深度单应性估计
2021 7th International Conference on Systems and Informatics (ICSAI) Pub Date : 2021-11-13 DOI: 10.1109/ICSAI53574.2021.9664027
Shuang Wang, Feiyun Yuan, Bo Chen, Haifei Jiang, Wangqiao Chen, Yi Wang
{"title":"Deep Homography Estimation based on Attention Mechanism","authors":"Shuang Wang, Feiyun Yuan, Bo Chen, Haifei Jiang, Wangqiao Chen, Yi Wang","doi":"10.1109/ICSAI53574.2021.9664027","DOIUrl":"https://doi.org/10.1109/ICSAI53574.2021.9664027","url":null,"abstract":"Since the existing supervised learning has a strong dependence on the real ground labeling and ignores the importance of depth differences and moving objects in the image, an unsupervised homography estimation algorithm is proposed. Firstly, a resnet34 backbone network is constructed, and two feature extraction modules with shared weights are used. Then, each initial feature extraction module is embedded with an Shuffle attention mechanism (SA), which is used to extract features that can provide greater help for model training. Secondly, the triple loss function is used as the loss function of the neural network, so that the neural network can better learn the difference of the input image, and learn the alignment between the corrected image generated by the estimated homography matrix and the input image. Finally, the proposed algorithm is compared with the existing methods, and the results show that the proposed method has good adaptability and performance in low texture and low brightness images.","PeriodicalId":131284,"journal":{"name":"2021 7th International Conference on Systems and Informatics (ICSAI)","volume":"41 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128191341","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
Weakly Supervised Breast Lesions Detection in Dynamic Contrast Enhancement Magnetic Resonance Imaging 弱监督乳腺病变动态增强磁共振成像检测
2021 7th International Conference on Systems and Informatics (ICSAI) Pub Date : 2021-11-13 DOI: 10.1109/icsai53574.2021.9664072
Chuanling Wei, S. Nie
{"title":"Weakly Supervised Breast Lesions Detection in Dynamic Contrast Enhancement Magnetic Resonance Imaging","authors":"Chuanling Wei, S. Nie","doi":"10.1109/icsai53574.2021.9664072","DOIUrl":"https://doi.org/10.1109/icsai53574.2021.9664072","url":null,"abstract":"Breast cancer detection is a key part of breast computer-aided detection system, which has its significance for assisting doctors to diagnose breast cancer. The objective is to develop a weakly supervised approach via deep learning for breast cancer detection in dynamic contrast enhancement magnetic resonance imaging, and to reduce the cost of manually marking the database and doctors' workload, improves breast cancer detection rates. In our ablation experiments, the proposed structure is effective. The performance of classification network showed 94.67% accuracy, the weakly supervised detection showed the IoU of 0.803.","PeriodicalId":131284,"journal":{"name":"2021 7th International Conference on Systems and Informatics (ICSAI)","volume":"140 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115533904","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: 1
An Automatic Data Acquisition Device for Transformer Oscillating Switching Impulse Voltage Tests 变压器振荡开关冲击电压测试自动数据采集装置
2021 7th International Conference on Systems and Informatics (ICSAI) Pub Date : 2021-11-13 DOI: 10.1109/icsai53574.2021.9664158
Mei-Feng Huang, Zhaohui Li, Weimin Ouyang, Chunlei Li, Lisheng Pang
{"title":"An Automatic Data Acquisition Device for Transformer Oscillating Switching Impulse Voltage Tests","authors":"Mei-Feng Huang, Zhaohui Li, Weimin Ouyang, Chunlei Li, Lisheng Pang","doi":"10.1109/icsai53574.2021.9664158","DOIUrl":"https://doi.org/10.1109/icsai53574.2021.9664158","url":null,"abstract":"The oscillating switching impulse voltage test plays important role in the assessment of transformers. An automatic data acquisition device is developed for this test. Four synchronous A/D conversion channels with 12 bits resolution and up to 10 MHz sampling rate for each channel are assigned to acquire the voltages at the both sides of the tested transformer as well as the currents at the neutral point and on the core earthing line. A smart algorithm to detect the test waveform according to the voltage applied to transformer is developed. It runs in parallel with the sampling program to automatically pickup just the complete test waveform in the sampling data stream. This device greatly facilitates the test operation.","PeriodicalId":131284,"journal":{"name":"2021 7th International Conference on Systems and Informatics (ICSAI)","volume":"84 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123179680","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
Comprehensive Evaluation of AC/DC Distribution Network of Flexible Substation Based on Triangular Fuzzy Analytic Hierarchy Process 基于三角模糊层次分析法的柔性变电站交直流配电网综合评价
2021 7th International Conference on Systems and Informatics (ICSAI) Pub Date : 2021-11-13 DOI: 10.1109/icsai53574.2021.9664170
Ke Lv, Yan Lu, Meng Yang, Chen Cheng, Min Yu
{"title":"Comprehensive Evaluation of AC/DC Distribution Network of Flexible Substation Based on Triangular Fuzzy Analytic Hierarchy Process","authors":"Ke Lv, Yan Lu, Meng Yang, Chen Cheng, Min Yu","doi":"10.1109/icsai53574.2021.9664170","DOIUrl":"https://doi.org/10.1109/icsai53574.2021.9664170","url":null,"abstract":"With the improvement of energy utilization level, how to efficiently realize power distribution has become a key research problem. In order to solve the problems of low conversion efficiency and serious power loss of traditional rigid distribution network, AC-DC distribution network technology based on flexible transformer station was implemented. This paper sets up a comprehensive evaluation index system including 11 first-level indexes and 26 second-level indexes from five aspects of technical performance, economic benefit, environmental impact, social benefit and policy impact. The triangular fuzzy analytic hierarchy process is used to establish a fuzzy comprehensive evaluation, and the technical and economic performance of AC/DC transmission technology based on flexible transformer station is analyzed, which provides a reference basis for later project development.","PeriodicalId":131284,"journal":{"name":"2021 7th International Conference on Systems and Informatics (ICSAI)","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127855492","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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