Color is one of the three major elements of print advertising, and different color combinations can trigger different emotional experiences of human beings. At present, the application of color in advertising in China is relatively mature, but it is limited to the traditional application method and has not been combined with big data technology. From the perspective of business needs, this research analyzes the process of visual creativity from the perspective of business value-added, and analyzes the role of big data in it. Then it introduces the semantics of common colors and how to incorporate color semantics into advertising design. And a sequence mining-based advertising click-through rate prediction model is proposed. The Criteo dataset is used as the training set. The AUC value of the model is 0.702 and the loss value is 0.415. Compared with other models, AUC values increased by 10.16%, 4.70%, 2.69% and 2.30%, respectively. Losses decreased by 10.17%, 9.19%, 6.11% and 7.57%, respectively. Finally, the online shopping data of 20 consumers was used as the test set to predict their color preferences, and the prediction accuracy was about 70%. Among them, the prediction accuracy of the group with stable shopping habits was 72.76%, and that of the group who liked to try new things was 70.60%, both meeting the expectation. Through experiments, it is concluded that the model has good performance and stability, and can more accurately judge consumers’ consumption preferences.
{"title":"The application of advertising logo color design for big data and visual communication technology","authors":"Huan Tian","doi":"10.3233/jcm-226700","DOIUrl":"https://doi.org/10.3233/jcm-226700","url":null,"abstract":"Color is one of the three major elements of print advertising, and different color combinations can trigger different emotional experiences of human beings. At present, the application of color in advertising in China is relatively mature, but it is limited to the traditional application method and has not been combined with big data technology. From the perspective of business needs, this research analyzes the process of visual creativity from the perspective of business value-added, and analyzes the role of big data in it. Then it introduces the semantics of common colors and how to incorporate color semantics into advertising design. And a sequence mining-based advertising click-through rate prediction model is proposed. The Criteo dataset is used as the training set. The AUC value of the model is 0.702 and the loss value is 0.415. Compared with other models, AUC values increased by 10.16%, 4.70%, 2.69% and 2.30%, respectively. Losses decreased by 10.17%, 9.19%, 6.11% and 7.57%, respectively. Finally, the online shopping data of 20 consumers was used as the test set to predict their color preferences, and the prediction accuracy was about 70%. Among them, the prediction accuracy of the group with stable shopping habits was 72.76%, and that of the group who liked to try new things was 70.60%, both meeting the expectation. Through experiments, it is concluded that the model has good performance and stability, and can more accurately judge consumers’ consumption preferences.","PeriodicalId":14668,"journal":{"name":"J. Comput. Methods Sci. Eng.","volume":"16 1","pages":"1479-1490"},"PeriodicalIF":0.0,"publicationDate":"2023-01-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"87964069","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 development and maturity of virtual reality (VR for short) and artificial intelligence technology, panoramic VR roaming is applied to more and more industries. In the construction engineering industry, due to the complex structure of some key building nodes, the application of panoramic VR roaming technology modeling will play a role in significantly reducing the workload and understanding difficulty of design, construction and management personnel. Therefore, this study improves the parallax map generation method of the belief propagation (BP) algorithm in the panoramic VR roaming to use the form of limit matching and optimizes the energy function and matching primitives in it, so as to propose a spatial model construction method of the panoramic VR roaming based on the improved BP algorithm. The experimental results show that the panoramic VR roaming space model construction method proposed in this study can significantly improve the quality of spatial modeling of building node images, and the normalized values of structural similarity of VR roaming space models designed based on Improved belief propagation (IBP), GC, BP, and DP algorithms are 3.32, 3.23, 2.96, and 2.84, respectively, when the number of iterations is obtained 200 times, is also the highest among the compared methods, for example, when the number of samples is 400, the calculation time of IBP scheme is 14.73 ± 0.85 min, and the highest time of other three schemes is 6.86 ± 0.67 min. Therefore, this virtual space modeling method is designed to be more suitable for application scenarios that require lower computational timeliness.
{"title":"VR technology used to show the practice of architectural node structure","authors":"Dihua Lv","doi":"10.3233/jcm-226695","DOIUrl":"https://doi.org/10.3233/jcm-226695","url":null,"abstract":"With the development and maturity of virtual reality (VR for short) and artificial intelligence technology, panoramic VR roaming is applied to more and more industries. In the construction engineering industry, due to the complex structure of some key building nodes, the application of panoramic VR roaming technology modeling will play a role in significantly reducing the workload and understanding difficulty of design, construction and management personnel. Therefore, this study improves the parallax map generation method of the belief propagation (BP) algorithm in the panoramic VR roaming to use the form of limit matching and optimizes the energy function and matching primitives in it, so as to propose a spatial model construction method of the panoramic VR roaming based on the improved BP algorithm. The experimental results show that the panoramic VR roaming space model construction method proposed in this study can significantly improve the quality of spatial modeling of building node images, and the normalized values of structural similarity of VR roaming space models designed based on Improved belief propagation (IBP), GC, BP, and DP algorithms are 3.32, 3.23, 2.96, and 2.84, respectively, when the number of iterations is obtained 200 times, is also the highest among the compared methods, for example, when the number of samples is 400, the calculation time of IBP scheme is 14.73 ± 0.85 min, and the highest time of other three schemes is 6.86 ± 0.67 min. Therefore, this virtual space modeling method is designed to be more suitable for application scenarios that require lower computational timeliness.","PeriodicalId":14668,"journal":{"name":"J. Comput. Methods Sci. Eng.","volume":"12 1","pages":"1349-1361"},"PeriodicalIF":0.0,"publicationDate":"2023-01-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"74289668","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 a new type of energy which is developing vigorously in China, nuclear energy has been widely concerned in all aspects. The circulating water system in the nuclear power plant takes water from seawater and cools the steam engine through the condenser, and then carries waste heat from the outlet to the sea. If the temperature of the outlet is too high, it will not only cause the temperature rise near the water surface of the atmosphere and the ground layer near the shore, but also affect the ecological environment inside the ocean. In this paper, a model based on the echo state network with variable memory length (VML-ESN) is proposed to predict outlet temperature of the nuclear power plant. It can get memory according to the different input autocorrelation characteristic length to adjust status update equation. The simulation results show that compared with ESN, Leaky-ESN, and Twi-ESN, the proposed model has better prediction performance, with a MAPE of 3.42%. In addition, when the reservoir size is 40, the error of VML-ESN is smaller than that of other models.
{"title":"Water outlet temperature prediction method of nuclear power plant based on echo state network with variable memory length","authors":"Dongmin Yu, C. Duan, Siyuan Fan","doi":"10.3233/jcm-226735","DOIUrl":"https://doi.org/10.3233/jcm-226735","url":null,"abstract":"As a new type of energy which is developing vigorously in China, nuclear energy has been widely concerned in all aspects. The circulating water system in the nuclear power plant takes water from seawater and cools the steam engine through the condenser, and then carries waste heat from the outlet to the sea. If the temperature of the outlet is too high, it will not only cause the temperature rise near the water surface of the atmosphere and the ground layer near the shore, but also affect the ecological environment inside the ocean. In this paper, a model based on the echo state network with variable memory length (VML-ESN) is proposed to predict outlet temperature of the nuclear power plant. It can get memory according to the different input autocorrelation characteristic length to adjust status update equation. The simulation results show that compared with ESN, Leaky-ESN, and Twi-ESN, the proposed model has better prediction performance, with a MAPE of 3.42%. In addition, when the reservoir size is 40, the error of VML-ESN is smaller than that of other models.","PeriodicalId":14668,"journal":{"name":"J. Comput. Methods Sci. Eng.","volume":"22 1","pages":"527-536"},"PeriodicalIF":0.0,"publicationDate":"2023-01-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"81763905","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}
Image fusion can extract the useful information of each channel about the same target to the maximum extent, and get high quality image. However, in this process, the image quality may be affected by noise and reduced. To reduce the image noise’s influence on the image fusion effect as well as improve the image fusion quality, a multi sensor moving image fusion analysis algorithm on the basis of neural network technology is proposed. This study designed a window adaptive strategy, use the probability density function, and built an impulse noise model, and use this model to divide each pixel in the image into noise points or signal points to obtain image impulse noise detection results, and use bilateral filtering algorithm to achieve image denoising processing; The fruit fly optimization algorithm is adopted to detect the edge of the multi sensor moving image, extract the image’s main edge points, and remove the detail edge points and noise points; nonlinear convolutional layer is used to replace most fusion layers to improve the dense network model, and the cross-entropy loss is used as the loss function in training the network, then use guided filters to generate guide maps, and generate final fusion images. According to experimental results, the noise detection method in this paper can also maintain 79.21% non-noise extraction rate under the noise density of 0.7. The highest correlation coefficient between the proposed algorithm and the standard image is 37.41. Its peak signal-to-noise ratio is as low as 0.09 and as high as 0.52. It has a minimum root mean square error of 8.52. The above values are better than other measured methods, and its edge miss rate can be as low as 1%, the image resolution is higher. It can be seen that its image denoising effect is better. Image denoising effect, and low edge missed detection rate, which effectively improves the effect of image fusion.
{"title":"Multi sensor moving image fusion analysis algorithm on the basis of neural network technology","authors":"Keqiang Zhan","doi":"10.3233/jcm-226704","DOIUrl":"https://doi.org/10.3233/jcm-226704","url":null,"abstract":"Image fusion can extract the useful information of each channel about the same target to the maximum extent, and get high quality image. However, in this process, the image quality may be affected by noise and reduced. To reduce the image noise’s influence on the image fusion effect as well as improve the image fusion quality, a multi sensor moving image fusion analysis algorithm on the basis of neural network technology is proposed. This study designed a window adaptive strategy, use the probability density function, and built an impulse noise model, and use this model to divide each pixel in the image into noise points or signal points to obtain image impulse noise detection results, and use bilateral filtering algorithm to achieve image denoising processing; The fruit fly optimization algorithm is adopted to detect the edge of the multi sensor moving image, extract the image’s main edge points, and remove the detail edge points and noise points; nonlinear convolutional layer is used to replace most fusion layers to improve the dense network model, and the cross-entropy loss is used as the loss function in training the network, then use guided filters to generate guide maps, and generate final fusion images. According to experimental results, the noise detection method in this paper can also maintain 79.21% non-noise extraction rate under the noise density of 0.7. The highest correlation coefficient between the proposed algorithm and the standard image is 37.41. Its peak signal-to-noise ratio is as low as 0.09 and as high as 0.52. It has a minimum root mean square error of 8.52. The above values are better than other measured methods, and its edge miss rate can be as low as 1%, the image resolution is higher. It can be seen that its image denoising effect is better. Image denoising effect, and low edge missed detection rate, which effectively improves the effect of image fusion.","PeriodicalId":14668,"journal":{"name":"J. Comput. Methods Sci. Eng.","volume":"122 1","pages":"1209-1224"},"PeriodicalIF":0.0,"publicationDate":"2023-01-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"82600632","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 improve the image quality, reduce the image noise and improve the image definition, the image depth fusion processing is realized by using the sp CNN network (Super pixel level convolution neural network, sp CNN). The improved non-local mean method is used to de-noise the image to highlight the role of the center pixel of the image block; the de-noised image is segmented by the improved CV model (Chan-Vese, CV), and the globally optimal multi-scale image segmentation result is obtained after optimization; From the perspective of regional features, the similarity measurement of image regions is carried out to realize image preprocessing. The sp-CNN network is constructed, and with the help of the idea of pyramid pooling, the average pooling is used to extract the features of each layer from the global and local levels of the convolutional features, and the training data set is generated for training, thereby realizing multi-scale image fusion. The experimental results show that the optimal value of the root mean square error index of the proposed method is 0.58. The optimal value of structural similarity index is 41.22. On the average slope index, the optimal value is 21.39. The optimal value of cross entropy index is 2.21. This shows that the proposed method has high image definition and good visual effect, which verifies the effectiveness of the method.
{"title":"Multi-scale image depth fusion method based on superpixel-level convolutional neural network","authors":"Xiaojie Chai, Rongsheng Wang, Junming Wang, Riqiang Zhang","doi":"10.3233/jcm-226706","DOIUrl":"https://doi.org/10.3233/jcm-226706","url":null,"abstract":"In order to improve the image quality, reduce the image noise and improve the image definition, the image depth fusion processing is realized by using the sp CNN network (Super pixel level convolution neural network, sp CNN). The improved non-local mean method is used to de-noise the image to highlight the role of the center pixel of the image block; the de-noised image is segmented by the improved CV model (Chan-Vese, CV), and the globally optimal multi-scale image segmentation result is obtained after optimization; From the perspective of regional features, the similarity measurement of image regions is carried out to realize image preprocessing. The sp-CNN network is constructed, and with the help of the idea of pyramid pooling, the average pooling is used to extract the features of each layer from the global and local levels of the convolutional features, and the training data set is generated for training, thereby realizing multi-scale image fusion. The experimental results show that the optimal value of the root mean square error index of the proposed method is 0.58. The optimal value of structural similarity index is 41.22. On the average slope index, the optimal value is 21.39. The optimal value of cross entropy index is 2.21. This shows that the proposed method has high image definition and good visual effect, which verifies the effectiveness of the method.","PeriodicalId":14668,"journal":{"name":"J. Comput. Methods Sci. Eng.","volume":"48 1","pages":"1237-1250"},"PeriodicalIF":0.0,"publicationDate":"2023-01-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"80706311","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}
At a time when communication network technology is developing rapidly, the security of the Internet has aroused widespread concern in the academic community. In particular, electronic payment, which has been booming in recent years, has great security risks and people are prone to information leakage and property loss in the process of payment. In order to solve these problems, this study adopts the AES to encrypt the information in the payment process, introduces the RSA Public Key System (RSA) and the SM4 packet cipher algorithm for comparison, and analyses their encryption (decryption) speed, decryption (decryption) speed and encryption speed respectively. (decryption) speed, as well as PR curve, Loss function and sensitivity. The results show that the AES algorithm has a faster encryption (decryption) speed compared to the other two algorithms. In the PR curve, the AES algorithm has an AP value of 0.9988, which is significantly higher than the other two algorithms, and has a better balance between accuracy and recall, and better performance. In the sensitivity analysis, the AES algorithm can have the highest sensitivity of 97.88%. This is significantly higher than the 93.47% and 96.59% of the other two algorithms. Moreover, as shown by the Loss function of the AES algorithm, it converges faster and the Liss value varies between 0.1 and 0.9. In summary, the AES algorithm has a faster encryption speed and is better in terms of accuracy, convergence speed and security factor in all aspects. This also demonstrates the feasibility and effectiveness of this algorithm for information security protection in electronic payment processes.
{"title":"A generic model for security algorithms in mobile electronic payment systems","authors":"Quan Yuan, Wei-Chao Chang, Shenglin Xu","doi":"10.3233/jcm-226694","DOIUrl":"https://doi.org/10.3233/jcm-226694","url":null,"abstract":"At a time when communication network technology is developing rapidly, the security of the Internet has aroused widespread concern in the academic community. In particular, electronic payment, which has been booming in recent years, has great security risks and people are prone to information leakage and property loss in the process of payment. In order to solve these problems, this study adopts the AES to encrypt the information in the payment process, introduces the RSA Public Key System (RSA) and the SM4 packet cipher algorithm for comparison, and analyses their encryption (decryption) speed, decryption (decryption) speed and encryption speed respectively. (decryption) speed, as well as PR curve, Loss function and sensitivity. The results show that the AES algorithm has a faster encryption (decryption) speed compared to the other two algorithms. In the PR curve, the AES algorithm has an AP value of 0.9988, which is significantly higher than the other two algorithms, and has a better balance between accuracy and recall, and better performance. In the sensitivity analysis, the AES algorithm can have the highest sensitivity of 97.88%. This is significantly higher than the 93.47% and 96.59% of the other two algorithms. Moreover, as shown by the Loss function of the AES algorithm, it converges faster and the Liss value varies between 0.1 and 0.9. In summary, the AES algorithm has a faster encryption speed and is better in terms of accuracy, convergence speed and security factor in all aspects. This also demonstrates the feasibility and effectiveness of this algorithm for information security protection in electronic payment processes.","PeriodicalId":14668,"journal":{"name":"J. Comput. Methods Sci. Eng.","volume":"23 1","pages":"1425-1438"},"PeriodicalIF":0.0,"publicationDate":"2023-01-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"81692605","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 increasingly rich recreational activities of college students, diversified learning needs and complex physical education resources bring challenges to college physical education. In order to optimize the teaching effect of calisthenics in colleges and universities, this paper proposes a matching method of posture features based on dynamic time warping. Firstly, the dynamic time warping algorithm is introduced, and then the matching model of posture features of calisthenics is constructed on this basis. Finally, the application effect of the model is tested and analyzed. The results show that the model can capture the video frame accurately, and its matching accuracy reaches 94.8%, which greatly improves the accuracy of aerobics action recognition. Good posture matching effect is conducive to teachers to obtain a clear learning situation of students, and provide a reference for adjusting the teaching progress and teaching methods of calisthenics. Under the teaching mode of this model, the average professional score of the students in calisthenics reaches 85 points, which is 25 points higher than that under the convolutional neural network model. It also proves the validity and feasibility of this method in the course of calisthenics in colleges and universities, which is beneficial to enhance the physical quality of college students and enrich the content of calisthenics teaching.
{"title":"Application of action and posture feature information matching algorithm in college aerobics","authors":"Hui Wang","doi":"10.3233/jcm-226709","DOIUrl":"https://doi.org/10.3233/jcm-226709","url":null,"abstract":"With the increasingly rich recreational activities of college students, diversified learning needs and complex physical education resources bring challenges to college physical education. In order to optimize the teaching effect of calisthenics in colleges and universities, this paper proposes a matching method of posture features based on dynamic time warping. Firstly, the dynamic time warping algorithm is introduced, and then the matching model of posture features of calisthenics is constructed on this basis. Finally, the application effect of the model is tested and analyzed. The results show that the model can capture the video frame accurately, and its matching accuracy reaches 94.8%, which greatly improves the accuracy of aerobics action recognition. Good posture matching effect is conducive to teachers to obtain a clear learning situation of students, and provide a reference for adjusting the teaching progress and teaching methods of calisthenics. Under the teaching mode of this model, the average professional score of the students in calisthenics reaches 85 points, which is 25 points higher than that under the convolutional neural network model. It also proves the validity and feasibility of this method in the course of calisthenics in colleges and universities, which is beneficial to enhance the physical quality of college students and enrich the content of calisthenics teaching.","PeriodicalId":14668,"journal":{"name":"J. Comput. Methods Sci. Eng.","volume":"209 1","pages":"1335-1347"},"PeriodicalIF":0.0,"publicationDate":"2023-01-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"80572016","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 improve the economy of the multi energy system and the efficiency of energy utilization, the research adopts the non dominated sorting genetic algorithms II (NSGA-II) to expand the population space. The elite strategy is introduced to improve the intelligent algorithm, and then the diversity of the population is retained to improve the optimization accuracy of the algorithm. In addition, the adaptive operator is introduced to improve the NSGA-II algorithm to improve the global search efficiency. The performance test of fast non dominated sorting genetic algorithm shows that the improved algorithm using elite strategy has better performance in coverage index, diversity index and convergence index. For example, in terms of convergence index, the improved NSGA-II algorithm has improved 0.0159, 0.822, 0.0243 and 0.0171 in four ZDT test functions. On the energy optimization operation for the integration of wind and hydrogen, the improved NSGA-II algorithm has obtained lower cost, with a total configuration cost of 606 million yuan, while the total system configuration cost corresponding to the unimproved NSGA-II algorithm is 624 million yuan, so the total system cost after the algorithm improvement has decreased by 18 million yuan. Therefore, this method has better economy and higher energy efficiency.
{"title":"Optimal operation strategy of wind-hydrogen integrated energy system based on NSGA-II algorithm","authors":"Teng Sun, Weidong Wang, X. Wen","doi":"10.3233/jcm-226730","DOIUrl":"https://doi.org/10.3233/jcm-226730","url":null,"abstract":"In order to improve the economy of the multi energy system and the efficiency of energy utilization, the research adopts the non dominated sorting genetic algorithms II (NSGA-II) to expand the population space. The elite strategy is introduced to improve the intelligent algorithm, and then the diversity of the population is retained to improve the optimization accuracy of the algorithm. In addition, the adaptive operator is introduced to improve the NSGA-II algorithm to improve the global search efficiency. The performance test of fast non dominated sorting genetic algorithm shows that the improved algorithm using elite strategy has better performance in coverage index, diversity index and convergence index. For example, in terms of convergence index, the improved NSGA-II algorithm has improved 0.0159, 0.822, 0.0243 and 0.0171 in four ZDT test functions. On the energy optimization operation for the integration of wind and hydrogen, the improved NSGA-II algorithm has obtained lower cost, with a total configuration cost of 606 million yuan, while the total system configuration cost corresponding to the unimproved NSGA-II algorithm is 624 million yuan, so the total system cost after the algorithm improvement has decreased by 18 million yuan. Therefore, this method has better economy and higher energy efficiency.","PeriodicalId":14668,"journal":{"name":"J. Comput. Methods Sci. Eng.","volume":"12 1","pages":"499-511"},"PeriodicalIF":0.0,"publicationDate":"2023-01-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"74594731","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 the power transmission tower shared equipment, there are strong current wireless interference and complex grounding environment, which leads to problems such as unstable operation of the shared equipment. Based on the multi-grade surge protector and new grounding technology, through the impulse experiments, we apply simulated lightning current generated from combined wave generator (1.2/50 μs, 8/20 μs) on the modle, and an oscilloscope is used to collect residual voltage and current data to calculate the absorbed energy of the grounding unit. It is concluded that when the impulse voltage is between 300 V and 3500 V, as the impulse voltage increases, after passing through the multi-grade surge protector and grounding unit, the residual voltage and current value continue to increase, and the residual voltage value is 23.4 V–29.6 V increases linearly, and the increase is small; the internal resistance of the grounding unit decreases with the increase of the impulse voltage. The energy absorbed by the grounding unit is positively correlated with the impulse voltage and negatively correlated with the internal resistance, and its energy absorption percentage decays linearly. The multi-grade surge protector can effectively clamp the residual voltage value within a safe value, and its discharge effect is better than that of the traditional protection mode. It provides a theoretical basis and data reference for the lightning protection and anti-interference projects of the actual transmission tower sharing equipment, and has certain practical value.
对于输变电塔共享设备，存在较强的电流无线干扰和复杂的接地环境，导致共享设备运行不稳定等问题。基于多级浪涌保护器和新型接地技术，通过脉冲实验，将组合波发生器产生的模拟雷击电流(1.2/50 μs、8/20 μs)施加在模型上，并用示波器采集剩余电压和电流数据，计算接地单元吸收能量。由此得出，当冲击电压在300 V ~ 3500 V之间时，随着冲击电压的增大，通过多级浪涌保护器和接地单元后，残余电压和电流值继续增大，残余电压值为23.4 V ~ 29.6 V线性增大，且增大幅度较小;接地单元的内阻随着冲击电压的增大而减小。接地单元吸收的能量与冲击电压正相关，与内阻负相关，其能量吸收百分比呈线性衰减。多级浪涌保护器能有效箝位剩余电压值在安全范围内，放电效果优于传统保护方式。为实际输电塔共用设备的防雷抗干扰工程提供了理论依据和数据参考，具有一定的实用价值。
{"title":"Lightning protection technology and grounding technology of transmission tower shared equipment","authors":"Liang Hong, Kaibin Wu, Mengmeng Yue","doi":"10.3233/jcm-226682","DOIUrl":"https://doi.org/10.3233/jcm-226682","url":null,"abstract":"For the power transmission tower shared equipment, there are strong current wireless interference and complex grounding environment, which leads to problems such as unstable operation of the shared equipment. Based on the multi-grade surge protector and new grounding technology, through the impulse experiments, we apply simulated lightning current generated from combined wave generator (1.2/50 μs, 8/20 μs) on the modle, and an oscilloscope is used to collect residual voltage and current data to calculate the absorbed energy of the grounding unit. It is concluded that when the impulse voltage is between 300 V and 3500 V, as the impulse voltage increases, after passing through the multi-grade surge protector and grounding unit, the residual voltage and current value continue to increase, and the residual voltage value is 23.4 V–29.6 V increases linearly, and the increase is small; the internal resistance of the grounding unit decreases with the increase of the impulse voltage. The energy absorbed by the grounding unit is positively correlated with the impulse voltage and negatively correlated with the internal resistance, and its energy absorption percentage decays linearly. The multi-grade surge protector can effectively clamp the residual voltage value within a safe value, and its discharge effect is better than that of the traditional protection mode. It provides a theoretical basis and data reference for the lightning protection and anti-interference projects of the actual transmission tower sharing equipment, and has certain practical value.","PeriodicalId":14668,"journal":{"name":"J. Comput. Methods Sci. Eng.","volume":"109 1","pages":"1197-1207"},"PeriodicalIF":0.0,"publicationDate":"2023-01-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"80582873","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 5G sensors, the development of low cost, low power consumption, and miniaturization is also constantly progressing, and 5G sensor networks have achieved great development. Node positioning technology is an important support for 5G sensors, so it has been a hot research direction in recent years. This article has carried on the basic discussion to the speech broadcasting technology, and introduced the speech broadcasting coding in many aspects, including the development history, the current situation and the compression coding algorithm. This article has launched a basic analysis and discussion on the voice broadcast algorithm, such as its basic principles and classification. In order to minimize the property losses and casualties caused by urban fires and improve the efficiency and success rate of urban fire emergency systems, it is necessary to be able to query fire information in a timely and effective manner and formulate emergency protection. As we all know, China’s current economic development is in a period of steady improvement, and the process of urbanization is gradually accelerating, especially the number of high-rise and super high-rise buildings has increased significantly. Therefore, once a city fire occurs, it will not only cause huge losses of property, but also may cause a large number of casualties. Although the current fire protection system in Chinese cities is relatively complete, there are still some problems that have not been resolved in actual work, such as insufficient technical equipment and insufficient response speed in some areas due to economic constraints. Therefore, it is very necessary to establish an efficient urban fire emergency information system, not only to be able to query fire information in a timely and effective manner, but also to be able to formulate emergency support plans for specific actual situations.
{"title":"Voice broadcast based on 5G sensor in urban fire emergency system application","authors":"Ying Huang, Gang-song Dong, Zhangyin Liu, Jiong Zhu, Weidong Peng","doi":"10.3233/jcm-226691","DOIUrl":"https://doi.org/10.3233/jcm-226691","url":null,"abstract":"With the rapid development of 5G sensors, the development of low cost, low power consumption, and miniaturization is also constantly progressing, and 5G sensor networks have achieved great development. Node positioning technology is an important support for 5G sensors, so it has been a hot research direction in recent years. This article has carried on the basic discussion to the speech broadcasting technology, and introduced the speech broadcasting coding in many aspects, including the development history, the current situation and the compression coding algorithm. This article has launched a basic analysis and discussion on the voice broadcast algorithm, such as its basic principles and classification. In order to minimize the property losses and casualties caused by urban fires and improve the efficiency and success rate of urban fire emergency systems, it is necessary to be able to query fire information in a timely and effective manner and formulate emergency protection. As we all know, China’s current economic development is in a period of steady improvement, and the process of urbanization is gradually accelerating, especially the number of high-rise and super high-rise buildings has increased significantly. Therefore, once a city fire occurs, it will not only cause huge losses of property, but also may cause a large number of casualties. Although the current fire protection system in Chinese cities is relatively complete, there are still some problems that have not been resolved in actual work, such as insufficient technical equipment and insufficient response speed in some areas due to economic constraints. Therefore, it is very necessary to establish an efficient urban fire emergency information system, not only to be able to query fire information in a timely and effective manner, but also to be able to formulate emergency support plans for specific actual situations.","PeriodicalId":14668,"journal":{"name":"J. Comput. Methods Sci. Eng.","volume":"34 1","pages":"1363-1380"},"PeriodicalIF":0.0,"publicationDate":"2023-01-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"78983538","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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