Xiaomei Hu, Jiahong Weng, Jianfei Chai, Mingnan Zhang, Yilin Li
In order to avoid the occlusion problems and missing important features of streamlines in the flow field, this paper proposes a 3D streamline selection algorithm based on comprehensive similarity. The method starts with a hierarchical clustering of streamline sets and then extracts streamlines with high similarity based on their comprehensive similarity. The comprehensive similarity of streamlines requires the calculation of the distance and contour similarity of the streamlines. In this paper, the Hausdorff distance is improved by proposing a partially matched Hausdorff distance to reduce the influence of streamline length on the similarity calculation. Then the contour similarity is calculated according to the ICP algorithm, and the entropy weighting method is used to calculate the weights to obtain the combined similarity. The final comparison with the result of another algorithm shows that the flow field structure is clearer, more complete and more evenly distributed when the streamlines are selected using this algorithm.
{"title":"A 3D streamline selection algorithm based on comprehensive similarity","authors":"Xiaomei Hu, Jiahong Weng, Jianfei Chai, Mingnan Zhang, Yilin Li","doi":"10.1117/12.2671191","DOIUrl":"https://doi.org/10.1117/12.2671191","url":null,"abstract":"In order to avoid the occlusion problems and missing important features of streamlines in the flow field, this paper proposes a 3D streamline selection algorithm based on comprehensive similarity. The method starts with a hierarchical clustering of streamline sets and then extracts streamlines with high similarity based on their comprehensive similarity. The comprehensive similarity of streamlines requires the calculation of the distance and contour similarity of the streamlines. In this paper, the Hausdorff distance is improved by proposing a partially matched Hausdorff distance to reduce the influence of streamline length on the similarity calculation. Then the contour similarity is calculated according to the ICP algorithm, and the entropy weighting method is used to calculate the weights to obtain the combined similarity. The final comparison with the result of another algorithm shows that the flow field structure is clearer, more complete and more evenly distributed when the streamlines are selected using this algorithm.","PeriodicalId":227528,"journal":{"name":"International Conference on Artificial Intelligence and Computer Engineering (ICAICE 2022)","volume":"44 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-04-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126693757","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 solve the problem that the quality of feature point matching and the computational efficiency cannot be achieved simultaneously, this paper proposes twin network feature point matching algorithm based on metric learning. Features and feature descriptors of image blocks is extracted through twin networks, and similarity measure loss function is used to complete feature matching in this paper. The results of network training and testing on HPatches dataset show that the algorithm is helpful to improve the accuracy and matching efficiency of feature matching point pairs.
{"title":"Feature point matching algorithm based on metric learning","authors":"Changjiang Jiang, Tong Lin, Yuhang Zhang, Changhao Zhao","doi":"10.1117/12.2671321","DOIUrl":"https://doi.org/10.1117/12.2671321","url":null,"abstract":"In order to solve the problem that the quality of feature point matching and the computational efficiency cannot be achieved simultaneously, this paper proposes twin network feature point matching algorithm based on metric learning. Features and feature descriptors of image blocks is extracted through twin networks, and similarity measure loss function is used to complete feature matching in this paper. The results of network training and testing on HPatches dataset show that the algorithm is helpful to improve the accuracy and matching efficiency of feature matching point pairs.","PeriodicalId":227528,"journal":{"name":"International Conference on Artificial Intelligence and Computer Engineering (ICAICE 2022)","volume":"602 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-04-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123207498","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}
Flight test comment is one of the important links in flight test engineering, which plays an important role in summarizing the flight situation, analyzing and locating the fault problems, and arranging follow-up tasks. Aiming at the problems existing in the traditional flight test comment system, such as single evaluation process and method, insufficient data support, insufficient visualization and interactivity, and unsatisfactory effect and efficiency, this paper constructs a digital intelligent flight test comment system based on data mining and software technology. It mainly realizes the functions of basic task information display, key data and scene reconstruction, fault analysis and location, and automatic generation of task evaluation result report, so as to realize the digitalization and intellectualization of the future flight test evaluation business.
{"title":"Design of digital intelligent flight test comment system","authors":"Guowang Zhang, Hao Wang, Yongling Guo","doi":"10.1117/12.2671330","DOIUrl":"https://doi.org/10.1117/12.2671330","url":null,"abstract":"Flight test comment is one of the important links in flight test engineering, which plays an important role in summarizing the flight situation, analyzing and locating the fault problems, and arranging follow-up tasks. Aiming at the problems existing in the traditional flight test comment system, such as single evaluation process and method, insufficient data support, insufficient visualization and interactivity, and unsatisfactory effect and efficiency, this paper constructs a digital intelligent flight test comment system based on data mining and software technology. It mainly realizes the functions of basic task information display, key data and scene reconstruction, fault analysis and location, and automatic generation of task evaluation result report, so as to realize the digitalization and intellectualization of the future flight test evaluation business.","PeriodicalId":227528,"journal":{"name":"International Conference on Artificial Intelligence and Computer Engineering (ICAICE 2022)","volume":"272 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-04-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124266427","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}
Yan Zhou, Haohai Wu, Xiangyu Liu, Fanzhi Zeng, Yuexia Zhou
With face recognition playing a crucial role in biometric identification technology, Face Anti-Spoofing (FAS) has powerful effects on finding out whether a presented face is live or spoof. As the most common attacks such as photo attacks, print attacks, and video replay attacks can be effectively resolved, high-resolution attacks are easy to occur but still challenging for effective face spoofing because of the rich local facial details. In this paper, a Diagonal-Fusion Transformer network (DFT) which adds self-attention from the vision transformer is proposed. It is designed to learn the facial context information and relation between the local features of the face, and thus enhance the discriminative features of the real face and the fake face to improve the classification efficiency. Furthermore, a Spoofing Region Detection network (SRD) parallel with the DFT network is proposed for fine- grained spoof detection through the enlargement of local facial details. Through comprehensive experiments, the model achieves state-of-the-art results on public benchmark datasets such as OULU and CelebA-Spoof.
{"title":"Learning facial details for high-resolution face anti-spoofing","authors":"Yan Zhou, Haohai Wu, Xiangyu Liu, Fanzhi Zeng, Yuexia Zhou","doi":"10.1117/12.2671328","DOIUrl":"https://doi.org/10.1117/12.2671328","url":null,"abstract":"With face recognition playing a crucial role in biometric identification technology, Face Anti-Spoofing (FAS) has powerful effects on finding out whether a presented face is live or spoof. As the most common attacks such as photo attacks, print attacks, and video replay attacks can be effectively resolved, high-resolution attacks are easy to occur but still challenging for effective face spoofing because of the rich local facial details. In this paper, a Diagonal-Fusion Transformer network (DFT) which adds self-attention from the vision transformer is proposed. It is designed to learn the facial context information and relation between the local features of the face, and thus enhance the discriminative features of the real face and the fake face to improve the classification efficiency. Furthermore, a Spoofing Region Detection network (SRD) parallel with the DFT network is proposed for fine- grained spoof detection through the enlargement of local facial details. Through comprehensive experiments, the model achieves state-of-the-art results on public benchmark datasets such as OULU and CelebA-Spoof.","PeriodicalId":227528,"journal":{"name":"International Conference on Artificial Intelligence and Computer Engineering (ICAICE 2022)","volume":"72 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-04-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126366002","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}
Jiejie Jia, Xiaolei Dong, Jiachen Shen, Zhenfu Cao
With the continuous progress of new energy technology, new energy vehicles have gradually become the mainstream. More and more new Energy Vehicles (EV) are put into use, which not only brings challenges to the current Smart Grid (SG) system, but also brings brand new opportunities. Vehicle-to-grid (V2G) is a new technology, which not only realizes the power transmission from the grid to the Vehicle, but also realizes the auxiliary power transmission ability from the vehicle to the grid. But the privacy problem and the fairness of the transaction are still an urgent problem to be solved. Privacy issues can lead to the user's privacy being obtained and analyzed by malicious participants, resulting in the user's property being threatened. Fair exchange means that in the transaction process, if one party is malicious, the honest party has no loss or the loss is negligible, or if both parties are malicious or honest, there is no loss for either party. This paper proposes a Vehicle-to-grid privacy protection fair exchange system based on blockchain. Homomorphic commitment and hash chain are introduced to achieve privacy protection and fair exchange.
{"title":"An efficient fair exchange privacy-preserving protocol for V2G based on blockchain","authors":"Jiejie Jia, Xiaolei Dong, Jiachen Shen, Zhenfu Cao","doi":"10.1117/12.2671437","DOIUrl":"https://doi.org/10.1117/12.2671437","url":null,"abstract":"With the continuous progress of new energy technology, new energy vehicles have gradually become the mainstream. More and more new Energy Vehicles (EV) are put into use, which not only brings challenges to the current Smart Grid (SG) system, but also brings brand new opportunities. Vehicle-to-grid (V2G) is a new technology, which not only realizes the power transmission from the grid to the Vehicle, but also realizes the auxiliary power transmission ability from the vehicle to the grid. But the privacy problem and the fairness of the transaction are still an urgent problem to be solved. Privacy issues can lead to the user's privacy being obtained and analyzed by malicious participants, resulting in the user's property being threatened. Fair exchange means that in the transaction process, if one party is malicious, the honest party has no loss or the loss is negligible, or if both parties are malicious or honest, there is no loss for either party. This paper proposes a Vehicle-to-grid privacy protection fair exchange system based on blockchain. Homomorphic commitment and hash chain are introduced to achieve privacy protection and fair exchange.","PeriodicalId":227528,"journal":{"name":"International Conference on Artificial Intelligence and Computer Engineering (ICAICE 2022)","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-04-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125610075","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}
Water quality testing has important application value for agricultural ecological restoration. It is of great significance for the growth of farm crops and the protection of ecological environment through the detection and management of water quality in farm ponds. In order to realize the effective development of water quality detection of unmanned ships, solve the problems of immature monitoring system technology and poor real-time data of small, unmanned ships, a three-dimensional visualization information system for water quality detection unmanned ships was designed based on virtual reality technology. The test results showed that the system has good real-time performance and stability, which proves the feasibility of the system, and provides a new idea for the design and development of unmanned ship remote monitoring system.
{"title":"3D visualization information system for water quality detection unmanned ship based on virtual reality technology","authors":"Ye Jiang, Anxi Cao, Jie Ren","doi":"10.1117/12.2671141","DOIUrl":"https://doi.org/10.1117/12.2671141","url":null,"abstract":"Water quality testing has important application value for agricultural ecological restoration. It is of great significance for the growth of farm crops and the protection of ecological environment through the detection and management of water quality in farm ponds. In order to realize the effective development of water quality detection of unmanned ships, solve the problems of immature monitoring system technology and poor real-time data of small, unmanned ships, a three-dimensional visualization information system for water quality detection unmanned ships was designed based on virtual reality technology. The test results showed that the system has good real-time performance and stability, which proves the feasibility of the system, and provides a new idea for the design and development of unmanned ship remote monitoring system.","PeriodicalId":227528,"journal":{"name":"International Conference on Artificial Intelligence and Computer Engineering (ICAICE 2022)","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-04-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129996113","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 solve the problem of low accuracy of road network information extraction in high-resolution remote sensing images due to complex ground object environment, this paper proposes an improved deep learning semantic segmentation model CP-Unet. In this model, the CBAM full-connection layer module is used to enhance the feature fusion of the model. At the same time, the subpixel convolution up sampling module is introduced to reduce the loss of definition caused by the amplification of the dimension of the feature map in the up sampled convolution. Finally, the model is more suitable for road network extraction in high-resolution remote sensing images. In order to verify the reliability of CP-Unet model, an area of Xinjiang Road network was taken as the object of the experiment. The overall extraction accuracy index IoU score of the model in this paper is 81.73%, which is 6.66% higher than that of U-Net. It can better overcome the complex environmental interference and extract the road network in a more complete way. It provides method reference for road network information checking and updating.
{"title":"Road network information extraction from high-resolution remote sensing images based on improved U-Net","authors":"Liang Zhao, Dudu Guo, Q. Xu","doi":"10.1117/12.2671228","DOIUrl":"https://doi.org/10.1117/12.2671228","url":null,"abstract":"In order to solve the problem of low accuracy of road network information extraction in high-resolution remote sensing images due to complex ground object environment, this paper proposes an improved deep learning semantic segmentation model CP-Unet. In this model, the CBAM full-connection layer module is used to enhance the feature fusion of the model. At the same time, the subpixel convolution up sampling module is introduced to reduce the loss of definition caused by the amplification of the dimension of the feature map in the up sampled convolution. Finally, the model is more suitable for road network extraction in high-resolution remote sensing images. In order to verify the reliability of CP-Unet model, an area of Xinjiang Road network was taken as the object of the experiment. The overall extraction accuracy index IoU score of the model in this paper is 81.73%, which is 6.66% higher than that of U-Net. It can better overcome the complex environmental interference and extract the road network in a more complete way. It provides method reference for road network information checking and updating.","PeriodicalId":227528,"journal":{"name":"International Conference on Artificial Intelligence and Computer Engineering (ICAICE 2022)","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-04-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130272563","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}
Yongming Liu, Qiang Ma, Lei Fu, Zhuanzhe Zhao, Zhibo Liu, Zhijian Tu
Due to the confidentiality of RV reducer's performance indicators and other issues, it is difficult to obtain its technical data and bring some difficulties to its theoretical calculation. At the same time, the performance indicators calculated theoretically are often limited by various factors and can only be used as reference values. Transmission efficiency is one of the most important performance indicators of RV reducer. Therefore, this paper takes the transmission efficiency of RV reducer as an example, aiming at the problem that the coaxiality error of the traditional RV reducer testing system is lack of compensation and adjustment, based on the error compensation principle, a coaxiality error compensation mechanism is proposed to adjust the coaxiality error of the RV reducer to reach the allowable range. Finally, the prototype experiment shows that this mechanism can realize the coaxiality error compensation, and the average transmission efficiency in the steady state is 31.98%, which verifies the accuracy of the compensation mechanism. This research has certain theoretical significance and practical value for improving the performance detection accuracy of RV reducer.
{"title":"Coaxiality error compensation and experimental verification of RV reducer test system based on laser displacement sensor","authors":"Yongming Liu, Qiang Ma, Lei Fu, Zhuanzhe Zhao, Zhibo Liu, Zhijian Tu","doi":"10.1117/12.2671243","DOIUrl":"https://doi.org/10.1117/12.2671243","url":null,"abstract":"Due to the confidentiality of RV reducer's performance indicators and other issues, it is difficult to obtain its technical data and bring some difficulties to its theoretical calculation. At the same time, the performance indicators calculated theoretically are often limited by various factors and can only be used as reference values. Transmission efficiency is one of the most important performance indicators of RV reducer. Therefore, this paper takes the transmission efficiency of RV reducer as an example, aiming at the problem that the coaxiality error of the traditional RV reducer testing system is lack of compensation and adjustment, based on the error compensation principle, a coaxiality error compensation mechanism is proposed to adjust the coaxiality error of the RV reducer to reach the allowable range. Finally, the prototype experiment shows that this mechanism can realize the coaxiality error compensation, and the average transmission efficiency in the steady state is 31.98%, which verifies the accuracy of the compensation mechanism. This research has certain theoretical significance and practical value for improving the performance detection accuracy of RV reducer.","PeriodicalId":227528,"journal":{"name":"International Conference on Artificial Intelligence and Computer Engineering (ICAICE 2022)","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-04-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134078138","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}
Wei Xie, Haishun Du, Wenming Pan, Helong Wang, Hongxin Liu, Mingxing Zhang, J. Wang
With the promulgation of the notice of market-oriented reform of coal-fired power generation, the reform of transmission and distribution electricity price has entered a substantive reform stage. General industry and Commerce have all entered the market, the proportion of electricity marketization has increased significantly, and the profit space of power grid companies has been further narrowed. Facing the dual pressure of performance assessment of state-owned assets management commission and verification of transmission and distribution electricity price, investment, as an important driver of business growth, the scientific value of its front-end decision-making has an important impact on stabilizing transmission and distribution electricity price and improving the company's business performance. However, the current investment plan arrangement of front-end infrastructure projects is not effectively connected with the key elements of transmission and distribution electricity price verification, and there is still great uncertainty about the supporting role of transmission and distribution electricity price. There is a lack of overall arrangement in advance, which is not conducive to improving the company's operating performance. Therefore, this paper excavates the investment and asset formation laws of infrastructure projects, makes the linkage relationship between investment, asset formation rate, transmission and distribution price and business performance smoother, studies and builds a power grid investment decision-making model based on the constraints of key elements of transmission and distribution price, provides quantitative reference for investment arrangement, and improves the scientific value and rationality of investment arrangement at the source.
{"title":"Research on power grid investment decision model based on constraints of key factors of transmission and distribution price","authors":"Wei Xie, Haishun Du, Wenming Pan, Helong Wang, Hongxin Liu, Mingxing Zhang, J. Wang","doi":"10.1117/12.2671310","DOIUrl":"https://doi.org/10.1117/12.2671310","url":null,"abstract":"With the promulgation of the notice of market-oriented reform of coal-fired power generation, the reform of transmission and distribution electricity price has entered a substantive reform stage. General industry and Commerce have all entered the market, the proportion of electricity marketization has increased significantly, and the profit space of power grid companies has been further narrowed. Facing the dual pressure of performance assessment of state-owned assets management commission and verification of transmission and distribution electricity price, investment, as an important driver of business growth, the scientific value of its front-end decision-making has an important impact on stabilizing transmission and distribution electricity price and improving the company's business performance. However, the current investment plan arrangement of front-end infrastructure projects is not effectively connected with the key elements of transmission and distribution electricity price verification, and there is still great uncertainty about the supporting role of transmission and distribution electricity price. There is a lack of overall arrangement in advance, which is not conducive to improving the company's operating performance. Therefore, this paper excavates the investment and asset formation laws of infrastructure projects, makes the linkage relationship between investment, asset formation rate, transmission and distribution price and business performance smoother, studies and builds a power grid investment decision-making model based on the constraints of key elements of transmission and distribution price, provides quantitative reference for investment arrangement, and improves the scientific value and rationality of investment arrangement at the source.","PeriodicalId":227528,"journal":{"name":"International Conference on Artificial Intelligence and Computer Engineering (ICAICE 2022)","volume":"269 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-04-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134242710","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}
Minte Song, Nan Liu, Zhanqiang Ru, Zhizhen Yin, Peng Ding, Zhengguang Wang, Suzhen Cheng, Xiaofang Meng, Helun Song
The calculation of transcendental functions is a common step in industrial control algorithms. Taking up a large number of CPU cycles, the transcendental function calculation by software compresses the computing resources of real-time control algorithms. As the complexity of industrial control system increases, hardware accelerators have become one of the strategies to solve this contradiction. In this paper, we designed a multi-thread, high-performance, configurable hardware accelerator for transcendental functions, which is based on the iterative calculation. It supports the calculations of sine cosine, arc-tangent, modulus, exponent and logarithm. The accelerator uses the standard cell library of SMIC 40nm Eflash platform for synthesis, achieving a frequency of 200MHz and a synthesis area of 176,840um2.
{"title":"A design of transcendental function accelerator","authors":"Minte Song, Nan Liu, Zhanqiang Ru, Zhizhen Yin, Peng Ding, Zhengguang Wang, Suzhen Cheng, Xiaofang Meng, Helun Song","doi":"10.1117/12.2671394","DOIUrl":"https://doi.org/10.1117/12.2671394","url":null,"abstract":"The calculation of transcendental functions is a common step in industrial control algorithms. Taking up a large number of CPU cycles, the transcendental function calculation by software compresses the computing resources of real-time control algorithms. As the complexity of industrial control system increases, hardware accelerators have become one of the strategies to solve this contradiction. In this paper, we designed a multi-thread, high-performance, configurable hardware accelerator for transcendental functions, which is based on the iterative calculation. It supports the calculations of sine cosine, arc-tangent, modulus, exponent and logarithm. The accelerator uses the standard cell library of SMIC 40nm Eflash platform for synthesis, achieving a frequency of 200MHz and a synthesis area of 176,840um2.","PeriodicalId":227528,"journal":{"name":"International Conference on Artificial Intelligence and Computer Engineering (ICAICE 2022)","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-04-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134252552","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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