Existing publicly available data of river network generally have low accuracy and even the data of confluence area are inconsistent with the physical characteristics of water flow, which makes it difficult to been directly used for modeling water environments. In this paper, to solve this problem, a semantic modeling method of river network for large-scale 3D virtual water environment is proposed. Firstly, the semantic objects of the river network with hierarchical coupling relationships are constructed by River, Link and Intersection. The constituent areas of the river network are refined, and the topological relationships among different areas of the river network are represented. Secondly, the geometric semantic data of the intersection area are divided into three categories, including intersection boundary, confluence boundary and tributary boundary, based on the influence of the flow dynamics. The Chézy’s formula is introduced to model the tributary boundary, which is significantly impacted by water flow scouring. Finally, the boundary data of various areas in the river network are automatically generated based on these semantic data. The experimental results indicate that high-precision boundary data can be automatically generated for different river network areas, which can improve the realism and reliability of river network virtual simulation. Additionally, the generated boundary data can also be used for large-scale 3D virtual water environment simulation modeling.
{"title":"A semantic modeling method to river networks for large-scale 3D virtual water environment","authors":"Weihua Liu, Ruiqiang Liu, Hua Wang","doi":"10.1117/12.2682333","DOIUrl":"https://doi.org/10.1117/12.2682333","url":null,"abstract":"Existing publicly available data of river network generally have low accuracy and even the data of confluence area are inconsistent with the physical characteristics of water flow, which makes it difficult to been directly used for modeling water environments. In this paper, to solve this problem, a semantic modeling method of river network for large-scale 3D virtual water environment is proposed. Firstly, the semantic objects of the river network with hierarchical coupling relationships are constructed by River, Link and Intersection. The constituent areas of the river network are refined, and the topological relationships among different areas of the river network are represented. Secondly, the geometric semantic data of the intersection area are divided into three categories, including intersection boundary, confluence boundary and tributary boundary, based on the influence of the flow dynamics. The Chézy’s formula is introduced to model the tributary boundary, which is significantly impacted by water flow scouring. Finally, the boundary data of various areas in the river network are automatically generated based on these semantic data. The experimental results indicate that high-precision boundary data can be automatically generated for different river network areas, which can improve the realism and reliability of river network virtual simulation. Additionally, the generated boundary data can also be used for large-scale 3D virtual water environment simulation modeling.","PeriodicalId":440430,"journal":{"name":"International Conference on Electronic Technology and Information Science","volume":"39 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131925736","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}
In geological exploration, the texture and context information generated by different rocks on the inner wall of the drilling hole is of great significance to understand the geological condition. Drilling camera technology can obtain digital drilling video and hole wall images. For a long time, the method of manual interpretation is the main method of studying hole wall images. This method has problems such as poor real-time performance and low work efficiency .In this paper, the processing algorithm is designed based on the imaging characteristics of hole wall image and the method of digital image processing, including image preprocessing, image expansion and image stitching. First, the radius of the area is determined according to the image features, and then the concentric circle expansion method is used to obtain the rectangular expansion image. Finally, the SIFT feature point is used to complete the accurate matching with the Ransac algorithm, and use weighted average method to complete image fusion. The entire algorithm can obtain a panoramic expansion image of the hole wall area, laying the foundation for the quantitative analysis of drilling data.
{"title":"Research on the processing algorithm of drilling image","authors":"Haoqi Yuan, Fuxin Xu, Penglei Fu","doi":"10.1117/12.2682401","DOIUrl":"https://doi.org/10.1117/12.2682401","url":null,"abstract":"In geological exploration, the texture and context information generated by different rocks on the inner wall of the drilling hole is of great significance to understand the geological condition. Drilling camera technology can obtain digital drilling video and hole wall images. For a long time, the method of manual interpretation is the main method of studying hole wall images. This method has problems such as poor real-time performance and low work efficiency .In this paper, the processing algorithm is designed based on the imaging characteristics of hole wall image and the method of digital image processing, including image preprocessing, image expansion and image stitching. First, the radius of the area is determined according to the image features, and then the concentric circle expansion method is used to obtain the rectangular expansion image. Finally, the SIFT feature point is used to complete the accurate matching with the Ransac algorithm, and use weighted average method to complete image fusion. The entire algorithm can obtain a panoramic expansion image of the hole wall area, laying the foundation for the quantitative analysis of drilling data.","PeriodicalId":440430,"journal":{"name":"International Conference on Electronic Technology and Information Science","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116611439","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}
Enterprise information contains a large amount of valuable content. Analyzing enterprise information and clarifying the structure of the industry chain in which the enterprise is located can provide assistance in optimizing the structure of the industry chain. For this reason, this article proposes an enterprise classification model that integrates focal loss and ERNIE-textCNN to classify enterprises. The attention mechanism and textCNN are used to extract semantic features at different levels to solve the problem of missing features and contextual semantic relationships in enterprise short text data. To address the imbalance in enterprise data, the loss function in the model is modified to focal loss function. Experimental verification shows that in all samples, the classification accuracy of a small sample category can be improved by 10%.Finally, the enterprise is matched to the industrial chain graph.
{"title":"Research on enterprise classification of ERNIE-textCNN fusion focal loss","authors":"Ning Ma, Chang-yin Luo","doi":"10.1117/12.2682382","DOIUrl":"https://doi.org/10.1117/12.2682382","url":null,"abstract":"Enterprise information contains a large amount of valuable content. Analyzing enterprise information and clarifying the structure of the industry chain in which the enterprise is located can provide assistance in optimizing the structure of the industry chain. For this reason, this article proposes an enterprise classification model that integrates focal loss and ERNIE-textCNN to classify enterprises. The attention mechanism and textCNN are used to extract semantic features at different levels to solve the problem of missing features and contextual semantic relationships in enterprise short text data. To address the imbalance in enterprise data, the loss function in the model is modified to focal loss function. Experimental verification shows that in all samples, the classification accuracy of a small sample category can be improved by 10%.Finally, the enterprise is matched to the industrial chain graph.","PeriodicalId":440430,"journal":{"name":"International Conference on Electronic Technology and Information Science","volume":"12715 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131046871","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}
For achieving fast and flexible retrieval across heterogeneous modalities, unsupervised is more flexible and easy to use than supervised methods, of which the unsupervised method GAN is the most popular. However, GAN has been suffering from the problems of lack of diversity in generated samples, debugging difficulties and training instability. A cross-modal hashing method based on a diffusion model is proposed in the paper. Specifically: (1) For the first time, the diffusion model is applied to the field of cross-modal retrieval, targeting three modalities for mutual retrieval. (2) The combination of adversarial network GAN and diffusion model improves the sample quality and sample diversity, and ameliorates the problems of complex GAN debugging and unstable training. The effectiveness of the proposed method is demonstrated through experiments on three datasets and comparison with state-of-the-art methods.
{"title":"Research on cross-modal hashing method based on diffusion mode","authors":"Wenjiao Li, Zirui Zhong","doi":"10.1117/12.2682410","DOIUrl":"https://doi.org/10.1117/12.2682410","url":null,"abstract":"For achieving fast and flexible retrieval across heterogeneous modalities, unsupervised is more flexible and easy to use than supervised methods, of which the unsupervised method GAN is the most popular. However, GAN has been suffering from the problems of lack of diversity in generated samples, debugging difficulties and training instability. A cross-modal hashing method based on a diffusion model is proposed in the paper. Specifically: (1) For the first time, the diffusion model is applied to the field of cross-modal retrieval, targeting three modalities for mutual retrieval. (2) The combination of adversarial network GAN and diffusion model improves the sample quality and sample diversity, and ameliorates the problems of complex GAN debugging and unstable training. The effectiveness of the proposed method is demonstrated through experiments on three datasets and comparison with state-of-the-art methods.","PeriodicalId":440430,"journal":{"name":"International Conference on Electronic Technology and Information Science","volume":"354 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134200753","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}
W. Sun, Liyan Zhang, Huigang Xu, S. Dou, Changxiang Li
In this paper, a neural network time delay prediction method based on phase space reconstruction is presented. This method reconstructs one-dimensional chaotic time series in phase space according to the internal law through phase space reconstruction, and uses BP neural network algorithm to predict the time delay. Simulation experiments show that this method has good prediction performance.
{"title":"A BP neural network time delay prediction method based on phase space reconstruction","authors":"W. Sun, Liyan Zhang, Huigang Xu, S. Dou, Changxiang Li","doi":"10.1117/12.2682466","DOIUrl":"https://doi.org/10.1117/12.2682466","url":null,"abstract":"In this paper, a neural network time delay prediction method based on phase space reconstruction is presented. This method reconstructs one-dimensional chaotic time series in phase space according to the internal law through phase space reconstruction, and uses BP neural network algorithm to predict the time delay. Simulation experiments show that this method has good prediction performance.","PeriodicalId":440430,"journal":{"name":"International Conference on Electronic Technology and Information Science","volume":"44 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117302984","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}
Electroencephalograms (EEG) signals can be used to decode hand movement parameters. Most of the researches on decoding hand movement parameters concentrated efforts on low-frequency feature of EEG extracted from timefrequency domain. However, complex brain structure and performance of various frequency bands have been less taken into account for hand movement direction decoding. In this paper, the node strength variability (NSV), a novel feature, was proposed to decode hand movement between horizontal and vertical direction. It is generated from discrepancy of connectivity among electrode nodes in two adjacent periods of brain networks constructed based on the phase locking value (PLV) from EEG signals. Five volunteers participated in our experiments, and totally 600 sets of EEG data were collected. NSV of five distinct frequency bands obtained between preparation and movement execution were applied to classify hand movement direction for each subject through a ten-fold cross-validation support vector machine (SVM). The results indicated that NSV of alpha band has the best effect on distinguishing horizontal and vertical hand movement directions, which provides new ideas for hand movement direction decoding.
{"title":"Node strength variability of brain network applied to single-hand movement directions decoding","authors":"Yanjiao Wang, Qin Wei","doi":"10.1117/12.2682331","DOIUrl":"https://doi.org/10.1117/12.2682331","url":null,"abstract":"Electroencephalograms (EEG) signals can be used to decode hand movement parameters. Most of the researches on decoding hand movement parameters concentrated efforts on low-frequency feature of EEG extracted from timefrequency domain. However, complex brain structure and performance of various frequency bands have been less taken into account for hand movement direction decoding. In this paper, the node strength variability (NSV), a novel feature, was proposed to decode hand movement between horizontal and vertical direction. It is generated from discrepancy of connectivity among electrode nodes in two adjacent periods of brain networks constructed based on the phase locking value (PLV) from EEG signals. Five volunteers participated in our experiments, and totally 600 sets of EEG data were collected. NSV of five distinct frequency bands obtained between preparation and movement execution were applied to classify hand movement direction for each subject through a ten-fold cross-validation support vector machine (SVM). The results indicated that NSV of alpha band has the best effect on distinguishing horizontal and vertical hand movement directions, which provides new ideas for hand movement direction decoding.","PeriodicalId":440430,"journal":{"name":"International Conference on Electronic Technology and Information Science","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126044206","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}
Combined navigation system is a navigation and positioning system composed of inertial navigation system and BeiDou satellite navigation system. Most of the navigation system models in combined navigation are nonlinear, but the traditional Kalman filtering algorithm is not well applied to nonlinear equations, and the Unscented Kalman filtering algorithm and Extended Kalman filtering algorithm which can be applied to nonlinear equations are constant in the fusion process of noise, so it will cause filtering divergence. In this paper, on the basis of Unscented Kalman filtering algorithm proposed will introduce the square root traceless Kalman filter algorithm, the algorithm through QR decomposition and Cholesk decomposition, the Sage-Husa algorithm combined with Square Root Unscented Kalman Filter algorithm, directly calculate the state error covariance matrix prediction and estimation of the square root factor, maintain the stability of the filtering, through practice proved that compared to Kalman filtering .The Nonlinear adaptive regression square root Kalman filter filter has a good navigation and positioning function, as the filtering is more convergent and the position accuracy can be within 5m, the speed error can be between 0.5m/s-1m/s. Compared with KF algorithm, the position error is increased by about 75%, and the speed error is increased by about 50%.
{"title":"NASRUKF UAV based on combined navigation algorithm","authors":"Yih-Farn Wang, Guifen. Chen, X. Li, Guangjiao Chen","doi":"10.1117/12.2682503","DOIUrl":"https://doi.org/10.1117/12.2682503","url":null,"abstract":"Combined navigation system is a navigation and positioning system composed of inertial navigation system and BeiDou satellite navigation system. Most of the navigation system models in combined navigation are nonlinear, but the traditional Kalman filtering algorithm is not well applied to nonlinear equations, and the Unscented Kalman filtering algorithm and Extended Kalman filtering algorithm which can be applied to nonlinear equations are constant in the fusion process of noise, so it will cause filtering divergence. In this paper, on the basis of Unscented Kalman filtering algorithm proposed will introduce the square root traceless Kalman filter algorithm, the algorithm through QR decomposition and Cholesk decomposition, the Sage-Husa algorithm combined with Square Root Unscented Kalman Filter algorithm, directly calculate the state error covariance matrix prediction and estimation of the square root factor, maintain the stability of the filtering, through practice proved that compared to Kalman filtering .The Nonlinear adaptive regression square root Kalman filter filter has a good navigation and positioning function, as the filtering is more convergent and the position accuracy can be within 5m, the speed error can be between 0.5m/s-1m/s. Compared with KF algorithm, the position error is increased by about 75%, and the speed error is increased by about 50%.","PeriodicalId":440430,"journal":{"name":"International Conference on Electronic Technology and Information Science","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133062593","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}
With the rapid development of deep learning-based neural network models, traditional general-purpose chips can hardly meet the needs of large-scale neural network computing tasks, so artificial intelligence chips come out along with the trend. In the application area of artificial intelligence chips, many computational tasks are related to multiplication, and multipliers are used very frequently. Due to the complexity and optimizability of multipliers themselves, their approximate design can effectively reduce the power consumption and improve the computational power of artificial intelligence chips. In this paper, we design two approximate multipliers based on Karatsuba algorithm and radix-8 booth multiplication, which reduce the power consumption by more than 45% and can be well adapted to various different neural network models to replace the exact multiplication unit of artificial intelligence chips.
{"title":"Low-power approximate multipliers for artificial intelligence chips","authors":"Hui Xiao","doi":"10.1117/12.2682332","DOIUrl":"https://doi.org/10.1117/12.2682332","url":null,"abstract":"With the rapid development of deep learning-based neural network models, traditional general-purpose chips can hardly meet the needs of large-scale neural network computing tasks, so artificial intelligence chips come out along with the trend. In the application area of artificial intelligence chips, many computational tasks are related to multiplication, and multipliers are used very frequently. Due to the complexity and optimizability of multipliers themselves, their approximate design can effectively reduce the power consumption and improve the computational power of artificial intelligence chips. In this paper, we design two approximate multipliers based on Karatsuba algorithm and radix-8 booth multiplication, which reduce the power consumption by more than 45% and can be well adapted to various different neural network models to replace the exact multiplication unit of artificial intelligence chips.","PeriodicalId":440430,"journal":{"name":"International Conference on Electronic Technology and Information Science","volume":"38 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133274549","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}
In order to achieve reliable terahertz communication at ultra-high data rates, this paper proposes Turbo coding with S-random interleaver combining circular propagation constraint and circular shift, firstly, the overall structure is optimized mainly by using parallel loops for multi-core computation and reserving memory in advance, secondly, the coding structure is optimized, then S-random interleaver with circular propagation constraint and circular shift is used, and finally, the decoding The structure is optimized. Through simulation experiments, it can be concluded that the proposed Turbo coding method improves the coding operation rate and reduces the BER and transmission delay.
{"title":"Turbo code optimization based on terahertz communication","authors":"Yuanming Ding, Lanting Zhao, Jianxin Feng","doi":"10.1117/12.2682394","DOIUrl":"https://doi.org/10.1117/12.2682394","url":null,"abstract":"In order to achieve reliable terahertz communication at ultra-high data rates, this paper proposes Turbo coding with S-random interleaver combining circular propagation constraint and circular shift, firstly, the overall structure is optimized mainly by using parallel loops for multi-core computation and reserving memory in advance, secondly, the coding structure is optimized, then S-random interleaver with circular propagation constraint and circular shift is used, and finally, the decoding The structure is optimized. Through simulation experiments, it can be concluded that the proposed Turbo coding method improves the coding operation rate and reduces the BER and transmission delay.","PeriodicalId":440430,"journal":{"name":"International Conference on Electronic Technology and Information Science","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115717066","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}
As one of the seven basic units in the International System of Units (SI), the temperature quantity is also the most important physical parameter of the ocean. The development of high-performance temperature sensing technology methods and sensors to achieve high-precision measurement of ocean temperature and compensation of elemental parameters is an important guarantee to improve ocean monitoring technology and promote the development of ocean resources. In this paper, we use mask lithography method combined with magnetron sputtering method to study the effect of microstructure size parameters of platinum film resistors on their temperature sensing performance, such as temperature coefficient, measurement accuracy, etc. This experiment simply and accurately determines the effect of the length and width of the resistor wire on the measurement error and temperature coefficient (TCR) of the platinum film resistor, and achieves the preparation of high precision and high stability platinum film resistors by controlling the structural parameters of the platinum film resistor wire.
{"title":"Research on platinum film resistance temperature sensing method","authors":"Cunbao Huang, Fengxiang Guo, Wei-Lian Sun, Xueping Chai, Xueyu Zhang, Shousheng Liu, Guangsen Xia, Zhigang Gai","doi":"10.1117/12.2682543","DOIUrl":"https://doi.org/10.1117/12.2682543","url":null,"abstract":"As one of the seven basic units in the International System of Units (SI), the temperature quantity is also the most important physical parameter of the ocean. The development of high-performance temperature sensing technology methods and sensors to achieve high-precision measurement of ocean temperature and compensation of elemental parameters is an important guarantee to improve ocean monitoring technology and promote the development of ocean resources. In this paper, we use mask lithography method combined with magnetron sputtering method to study the effect of microstructure size parameters of platinum film resistors on their temperature sensing performance, such as temperature coefficient, measurement accuracy, etc. This experiment simply and accurately determines the effect of the length and width of the resistor wire on the measurement error and temperature coefficient (TCR) of the platinum film resistor, and achieves the preparation of high precision and high stability platinum film resistors by controlling the structural parameters of the platinum film resistor wire.","PeriodicalId":440430,"journal":{"name":"International Conference on Electronic Technology and Information Science","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122329945","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}
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