By designing an office with window shutters and setting different window sizes, the indoor wind and thermal environments were investigated at different heights. Opening windows improved the thermal conditions in the office, especially in high temperature rooms. Despite generation of high ventilation rates at many locations, the ventilation rates were good within the main areas. It appeared critical to supply air through opening of the windows. A novel simulation method was explored. Meanwhile, an appropriate numerical simulation scheme was chosen to evaluate the effects of various office structures on thermal comfort, which can thus provide an important reference for the office building design.
{"title":"Simulation and analysis of wind and thermal environments in an office with window shutters","authors":"N. Ding, Song Chen","doi":"10.3233/jcm-226773","DOIUrl":"https://doi.org/10.3233/jcm-226773","url":null,"abstract":"By designing an office with window shutters and setting different window sizes, the indoor wind and thermal environments were investigated at different heights. Opening windows improved the thermal conditions in the office, especially in high temperature rooms. Despite generation of high ventilation rates at many locations, the ventilation rates were good within the main areas. It appeared critical to supply air through opening of the windows. A novel simulation method was explored. Meanwhile, an appropriate numerical simulation scheme was chosen to evaluate the effects of various office structures on thermal comfort, which can thus provide an important reference for the office building design.","PeriodicalId":14668,"journal":{"name":"J. Comput. Methods Sci. Eng.","volume":"46 1","pages":"2113-2126"},"PeriodicalIF":0.0,"publicationDate":"2023-06-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85996918","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 the field of computer vision, Field Programmable Gate Array (FGPA) limited de on-chip memory is difficult to meet the power, size and other requirements. To address this phenomenon, the study constructs a partitioning algorithm to achieve a balance between energy consumption and resource utilisation based on the analysis of memory resource allocation, overall power consumption and resource utilisation from the perspective of image processing technology. The power consumption of the balancing algorithm is lower compared to the optimised utilisation algorithm HLS tool, with both Block Ramdom Access Memory (BRAM) power consumption taking the value of 0.005; the dynamic power consumption takes the value range of 0.014–0.082. Compared to the High Level Synthesis (HLS) tool, the overall power consumption of the balancing algorithm and the optimised utilisation algorithm is significantly lower, with the values of 0.251 and 0.252 respectively, both with a reduction rate of approximately 30%. The accuracy rate of the proposed memory optimisation allocation algorithm is the highest among the four memory optimisation allocation algorithms and strategies on all three types of target scales. FPGA memory optimisation allocation strategy can guarantee to have lower power consumption while satisfying the same resource occupancy, and the model has in-depth application value in visual image vision technology.
{"title":"Optimal FPGA memory allocation for image processing","authors":"Bengang Bao, Xiaoling Liang","doi":"10.3233/jcm-226842","DOIUrl":"https://doi.org/10.3233/jcm-226842","url":null,"abstract":"In the field of computer vision, Field Programmable Gate Array (FGPA) limited de on-chip memory is difficult to meet the power, size and other requirements. To address this phenomenon, the study constructs a partitioning algorithm to achieve a balance between energy consumption and resource utilisation based on the analysis of memory resource allocation, overall power consumption and resource utilisation from the perspective of image processing technology. The power consumption of the balancing algorithm is lower compared to the optimised utilisation algorithm HLS tool, with both Block Ramdom Access Memory (BRAM) power consumption taking the value of 0.005; the dynamic power consumption takes the value range of 0.014–0.082. Compared to the High Level Synthesis (HLS) tool, the overall power consumption of the balancing algorithm and the optimised utilisation algorithm is significantly lower, with the values of 0.251 and 0.252 respectively, both with a reduction rate of approximately 30%. The accuracy rate of the proposed memory optimisation allocation algorithm is the highest among the four memory optimisation allocation algorithms and strategies on all three types of target scales. FPGA memory optimisation allocation strategy can guarantee to have lower power consumption while satisfying the same resource occupancy, and the model has in-depth application value in visual image vision technology.","PeriodicalId":14668,"journal":{"name":"J. Comput. Methods Sci. Eng.","volume":"15 1","pages":"1801-1814"},"PeriodicalIF":0.0,"publicationDate":"2023-05-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"87571518","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}
Ideological and political workers in colleges and universities are the main force of ideological and political work of college students. Their innovative behavior has a great impact on the effect of ideological and political work. This paper explores the influencing factors and mechanism of innovative behavior of ideological and political workers in universities, constructing a theoretical model with policy perception as the mediating variable, and using data to verify the model. The results show that each dimension of occupational identity has a significant impact on the innovation behavior of ideological and political workers in colleges and universities and policy perception, which also has a significant impact on their innovation behavior, as a mediating variable of occupational identity.
{"title":"The influence of professional identity of ideological and political workers in colleges and universities on innovation behavior-mediating effect based on policy perception","authors":"Tiantian Ning","doi":"10.3233/jcm-226850","DOIUrl":"https://doi.org/10.3233/jcm-226850","url":null,"abstract":"Ideological and political workers in colleges and universities are the main force of ideological and political work of college students. Their innovative behavior has a great impact on the effect of ideological and political work. This paper explores the influencing factors and mechanism of innovative behavior of ideological and political workers in universities, constructing a theoretical model with policy perception as the mediating variable, and using data to verify the model. The results show that each dimension of occupational identity has a significant impact on the innovation behavior of ideological and political workers in colleges and universities and policy perception, which also has a significant impact on their innovation behavior, as a mediating variable of occupational identity.","PeriodicalId":14668,"journal":{"name":"J. Comput. Methods Sci. Eng.","volume":"39 8 1","pages":"1777-1786"},"PeriodicalIF":0.0,"publicationDate":"2023-05-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85637917","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}
Ming Han, Zhijia Lu, Jing-Tao Wang, Tongqiang Zhang
In order to effectively improve the tracking performance of the target in various complex environment in the tracking process, the reinforcement research of target features has become one of the important work. In this paper, a Siamese network target tracking algorithm based on parallel channel attention mechanism (PCAM) is proposed by combining feature cascade algorithm with visual attention. Firstly, the characteristics of SENet network and ECA network are fully analyzed. Secondly, the parallel channel attention mechanism is constructed based on ECA module, which integrates global average pooling and maximum pooling. Parallel channel attention mechanism not only solves the problem of channel correlation reduction of SENet module, but also solves the problem of target feature information enhancement. Thirdly, the output model of channel attention is used as the input of spatial attention model to realize the effective complement to channel attention mechanism. By calculating the weight value of different spatial locations, the structural relation between spatial location information is constructed, the feature expression ability of the model is enhanced. Finally, the algorithm is evaluated on standard data sets OTB100, OTB2013, OTB2015, VOT2016 and VOT2018. Experimental results show that the PCAM has stronger feature extraction performance for complex environment, higher target tracking accuracy and robustness, and has strong advantages compared with other comparative experiments.
{"title":"Research on Siamese network algorithm based on parallel channel attention mechanism for target tracking","authors":"Ming Han, Zhijia Lu, Jing-Tao Wang, Tongqiang Zhang","doi":"10.3233/jcm-226837","DOIUrl":"https://doi.org/10.3233/jcm-226837","url":null,"abstract":"In order to effectively improve the tracking performance of the target in various complex environment in the tracking process, the reinforcement research of target features has become one of the important work. In this paper, a Siamese network target tracking algorithm based on parallel channel attention mechanism (PCAM) is proposed by combining feature cascade algorithm with visual attention. Firstly, the characteristics of SENet network and ECA network are fully analyzed. Secondly, the parallel channel attention mechanism is constructed based on ECA module, which integrates global average pooling and maximum pooling. Parallel channel attention mechanism not only solves the problem of channel correlation reduction of SENet module, but also solves the problem of target feature information enhancement. Thirdly, the output model of channel attention is used as the input of spatial attention model to realize the effective complement to channel attention mechanism. By calculating the weight value of different spatial locations, the structural relation between spatial location information is constructed, the feature expression ability of the model is enhanced. Finally, the algorithm is evaluated on standard data sets OTB100, OTB2013, OTB2015, VOT2016 and VOT2018. Experimental results show that the PCAM has stronger feature extraction performance for complex environment, higher target tracking accuracy and robustness, and has strong advantages compared with other comparative experiments.","PeriodicalId":14668,"journal":{"name":"J. Comput. Methods Sci. Eng.","volume":"33 1","pages":"1829-1845"},"PeriodicalIF":0.0,"publicationDate":"2023-05-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"91171937","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}
Dong-yuan Ge, Wenjiang Xiang, Shixiong Zhu, Xi-fan Yao
With the promotion of Industry 4.0 reform, the trend of intelligent and precise production in the production workshop is gradually highlighted. This directly leads to higher requirements for robot hand eye coordination accuracy in automated workshops. In order to achieve more precise robot hand eye coordination control, this study designed a new mean calculation method based on the probability density theory, and designed a new mean robot hand eye calibration algorithm based on this. After the test, it is found that the translation error and rotation error calculated by the new mean algorithm are 0.26 and 0.92 respectively, which are significantly lower than other comparison algorithms when using all test samples of normal distribution. And the calculation time of the algorithm when using all the test samples is 2115 ms, which is also significantly lower than the comparison algorithm. The simulation results show that the new mean hand eye calibration method designed in this study can achieve more accurate hand eye coordination control of robots, and has certain application potential in high-precision industrial production scenarios.
{"title":"Hand-eye calibration method and machine vision research based on sensor network","authors":"Dong-yuan Ge, Wenjiang Xiang, Shixiong Zhu, Xi-fan Yao","doi":"10.3233/jcm-226846","DOIUrl":"https://doi.org/10.3233/jcm-226846","url":null,"abstract":"With the promotion of Industry 4.0 reform, the trend of intelligent and precise production in the production workshop is gradually highlighted. This directly leads to higher requirements for robot hand eye coordination accuracy in automated workshops. In order to achieve more precise robot hand eye coordination control, this study designed a new mean calculation method based on the probability density theory, and designed a new mean robot hand eye calibration algorithm based on this. After the test, it is found that the translation error and rotation error calculated by the new mean algorithm are 0.26 and 0.92 respectively, which are significantly lower than other comparison algorithms when using all test samples of normal distribution. And the calculation time of the algorithm when using all the test samples is 2115 ms, which is also significantly lower than the comparison algorithm. The simulation results show that the new mean hand eye calibration method designed in this study can achieve more accurate hand eye coordination control of robots, and has certain application potential in high-precision industrial production scenarios.","PeriodicalId":14668,"journal":{"name":"J. Comput. Methods Sci. Eng.","volume":"118 1","pages":"1815-1828"},"PeriodicalIF":0.0,"publicationDate":"2023-05-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"88243182","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 explore the flexural performance of the two-span simply supported to continuous T-beam using UHPC material instead of prestressed tendons in the negative bending moment zone and the effect of the UHPC material connection length on the bearing capacity of the test beam, the flexural tests of three beams with different UHPC connection lengths were carried out. The results show that by using UHPC material instead of prestressed tendons to make continuous beams in the negative bending moment region, the tensile properties and high elastic modulus characteristics of UHPC material can be better exerted. The three test beams were all resistant to bending failure, and the cracks were distributed in the two positive and negative bending moment sections. Increasing the connection length of the UHPC material will increase the distribution range of cracks and the number of cracks in the positive moment section and the cracking load in the negative moment section. The ductility was reduced. When the connection length was increased from 300 mm to 2200 mm and 2300 mm, respectively, the bearing capacity of the test beam was increased by 4% and 6%, respectively, and the mid-span ultimate displacement was reduced by 7% and 12%, respectively. The flexural performance of the test beam was improved.
{"title":"Experimental study of continuous T-beams with negative bending moment using UHPC instead of prestressed tendons under flexure","authors":"Runtao Dong, Yanmin Jia, Dongsheng Guo","doi":"10.3233/jcm-226821","DOIUrl":"https://doi.org/10.3233/jcm-226821","url":null,"abstract":"In order to explore the flexural performance of the two-span simply supported to continuous T-beam using UHPC material instead of prestressed tendons in the negative bending moment zone and the effect of the UHPC material connection length on the bearing capacity of the test beam, the flexural tests of three beams with different UHPC connection lengths were carried out. The results show that by using UHPC material instead of prestressed tendons to make continuous beams in the negative bending moment region, the tensile properties and high elastic modulus characteristics of UHPC material can be better exerted. The three test beams were all resistant to bending failure, and the cracks were distributed in the two positive and negative bending moment sections. Increasing the connection length of the UHPC material will increase the distribution range of cracks and the number of cracks in the positive moment section and the cracking load in the negative moment section. The ductility was reduced. When the connection length was increased from 300 mm to 2200 mm and 2300 mm, respectively, the bearing capacity of the test beam was increased by 4% and 6%, respectively, and the mid-span ultimate displacement was reduced by 7% and 12%, respectively. The flexural performance of the test beam was improved.","PeriodicalId":14668,"journal":{"name":"J. Comput. Methods Sci. Eng.","volume":"54 1","pages":"1765-1776"},"PeriodicalIF":0.0,"publicationDate":"2023-05-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"87040478","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}
Red culture was born in the revolutionary war era. It contains a rich revolutionary spirit and profound historical and cultural connotations. It plays a pivotal role in education, politics, economy and society, and has a crucial influence in all aspects. In this paper, based on the analysis of big data and IoT-related theories, the current issues of red culture dissemination and influence development are obtained through interviews and questionnaire surveys. In terms of red culture dissemination channels, based on big data, solutions such as establishing a digital red culture database, pinpointing demand groups and combining recommendation algorithms are proposed to improve the speed and impact of dissemination. The coordinated red culture has been improved in terms of dissemination speed, dissemination efficiency, depth of influence, number of influencers, and breadth of influence. The innovation of this paper is to study the development of red culture through big data and Internet of things technology, explore the problems existing in the development of red culture from a new perspective, and put forward corresponding strategies, which is of great innovation.
{"title":"Influence of Chinese red culture on foreign communication under the background of big data and Internet of Things","authors":"W. Chai, Xiaohang Li","doi":"10.3233/jcm-226804","DOIUrl":"https://doi.org/10.3233/jcm-226804","url":null,"abstract":"Red culture was born in the revolutionary war era. It contains a rich revolutionary spirit and profound historical and cultural connotations. It plays a pivotal role in education, politics, economy and society, and has a crucial influence in all aspects. In this paper, based on the analysis of big data and IoT-related theories, the current issues of red culture dissemination and influence development are obtained through interviews and questionnaire surveys. In terms of red culture dissemination channels, based on big data, solutions such as establishing a digital red culture database, pinpointing demand groups and combining recommendation algorithms are proposed to improve the speed and impact of dissemination. The coordinated red culture has been improved in terms of dissemination speed, dissemination efficiency, depth of influence, number of influencers, and breadth of influence. The innovation of this paper is to study the development of red culture through big data and Internet of things technology, explore the problems existing in the development of red culture from a new perspective, and put forward corresponding strategies, which is of great innovation.","PeriodicalId":14668,"journal":{"name":"J. Comput. Methods Sci. Eng.","volume":"67 1","pages":"1733-1744"},"PeriodicalIF":0.0,"publicationDate":"2023-05-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"74324881","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}
Ximing Wan, X. Wen, Taorong Gong, S. Chen, Qinfei Sun
Studying the grid integration of renewable energy power generation is crucial for achieving the goal of carbon neutrality since it may have a significant influence on the secure and reliable functioning of the power system. In order to solve the problem of deviation impact caused by renewable energy fluctuations and the optimal scheduling of VPP (Virtual Power Plant), the study divides the internal aggregation unit of the virtual power plant into two parts to model. One part is the source equipment, including wind power generation equipment, gas turbine, gas boiler and waste heat boiler. And the other part is the generalized Energy storage, including electric vehicles, air conditioners and alternative response loads. Ultimately, a generalized energy storage-based virtual power plant operation optimization model is developed under multi-market coordination of electricity-gas-heat-carbon. According to the study’s findings, adding more power-to-gas technology boosts revenue in the carbon trading market by 25.24 percent. The energy market’s revenue is equal to that in the absence of a carbon trading market, and the income of the natural gas market increases by $ 32.96. The income of the carbon trading market is $ 181.51, and the final operating cost is reduced by $ 180.80, a drop of 7.81%. To sum up, the suggested approach may more effectively achieve the best distribution of different energy sources, increase the dependability of VPP operation, and make it more low-carbon.
研究可再生能源发电并网对实现碳中和目标至关重要,因为它可能对电力系统的安全可靠运行产生重大影响。为了解决可再生能源波动带来的偏差影响和VPP (Virtual Power Plant)的最优调度问题,本研究将虚拟电厂内部聚合单元分成两部分进行建模。一部分是源设备,包括风力发电设备、燃气轮机、燃气锅炉和余热锅炉。另一部分是广义储能,包括电动汽车、空调和备用响应负荷。最后,建立了电-气-热-碳多市场协调下基于广义储能的虚拟电厂运行优化模型。根据研究结果,增加更多的电转气技术将使碳交易市场的收入增加25.24%。能源市场的收入与没有碳交易市场的收入相等,天然气市场的收入增加了32.96美元。碳交易市场的收益为181.51美元,最终运营成本减少180.80美元,下降幅度为7.81%。综上所述,建议的方法可以更有效地实现不同能源的最佳分配,增加VPP运行的可靠性,并使其更加低碳。
{"title":"The low-carbon economic operation strategy of virtual power plant under different electricity-gas-heat-carbon multi-market synergy scenarios","authors":"Ximing Wan, X. Wen, Taorong Gong, S. Chen, Qinfei Sun","doi":"10.3233/jcm-226814","DOIUrl":"https://doi.org/10.3233/jcm-226814","url":null,"abstract":"Studying the grid integration of renewable energy power generation is crucial for achieving the goal of carbon neutrality since it may have a significant influence on the secure and reliable functioning of the power system. In order to solve the problem of deviation impact caused by renewable energy fluctuations and the optimal scheduling of VPP (Virtual Power Plant), the study divides the internal aggregation unit of the virtual power plant into two parts to model. One part is the source equipment, including wind power generation equipment, gas turbine, gas boiler and waste heat boiler. And the other part is the generalized Energy storage, including electric vehicles, air conditioners and alternative response loads. Ultimately, a generalized energy storage-based virtual power plant operation optimization model is developed under multi-market coordination of electricity-gas-heat-carbon. According to the study’s findings, adding more power-to-gas technology boosts revenue in the carbon trading market by 25.24 percent. The energy market’s revenue is equal to that in the absence of a carbon trading market, and the income of the natural gas market increases by $ 32.96. The income of the carbon trading market is $ 181.51, and the final operating cost is reduced by $ 180.80, a drop of 7.81%. To sum up, the suggested approach may more effectively achieve the best distribution of different energy sources, increase the dependability of VPP operation, and make it more low-carbon.","PeriodicalId":14668,"journal":{"name":"J. Comput. Methods Sci. Eng.","volume":"24 1","pages":"2237-2254"},"PeriodicalIF":0.0,"publicationDate":"2023-05-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85718993","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}
The use of traditional reinforcement methods in construction sites often causes problems such as pore water pressure, which can not effectively form a solid foundation. Aiming at this problem, the evaluation model of soft soil foundation reinforcement effect of prefabricated buildings is established based on BP neural network, combined with the geological characteristics of soft soil and the elements of foundation reinforcement; The L-M algorithm is used to optimize the slow convergence problem of BP neural network, and finally its evaluation effect is verified through practical application. The results show that the strengthening effect of 1550 kN⋅m/m2 is better than that of 2000 kN⋅m/m2 with the more times of tamping for marine and river facies, and there is a positive correlation between the times of strengthening and the effect. At the same time, similar qualitative conditions also show that the greater the burial depth, the worse the reinforcement effect. When the overlying soil layer is soft, the shallow buried soil layer can be reinforced by laying a cushion to improve the overall reinforcement effect. The laws reflected in the final model output data are the same as those reflected in the construction, and the accuracy of the proposed model is up to 87%, indicating that the model has superior performance in the reinforcement effect evaluation.
{"title":"Evaluation of soft soil foundation reinforcement effect of prefabricated building based on BP neural network","authors":"M. Cheng","doi":"10.3233/jcm-226808","DOIUrl":"https://doi.org/10.3233/jcm-226808","url":null,"abstract":"The use of traditional reinforcement methods in construction sites often causes problems such as pore water pressure, which can not effectively form a solid foundation. Aiming at this problem, the evaluation model of soft soil foundation reinforcement effect of prefabricated buildings is established based on BP neural network, combined with the geological characteristics of soft soil and the elements of foundation reinforcement; The L-M algorithm is used to optimize the slow convergence problem of BP neural network, and finally its evaluation effect is verified through practical application. The results show that the strengthening effect of 1550 kN⋅m/m2 is better than that of 2000 kN⋅m/m2 with the more times of tamping for marine and river facies, and there is a positive correlation between the times of strengthening and the effect. At the same time, similar qualitative conditions also show that the greater the burial depth, the worse the reinforcement effect. When the overlying soil layer is soft, the shallow buried soil layer can be reinforced by laying a cushion to improve the overall reinforcement effect. The laws reflected in the final model output data are the same as those reflected in the construction, and the accuracy of the proposed model is up to 87%, indicating that the model has superior performance in the reinforcement effect evaluation.","PeriodicalId":14668,"journal":{"name":"J. Comput. Methods Sci. Eng.","volume":"33 1","pages":"1787-1800"},"PeriodicalIF":0.0,"publicationDate":"2023-05-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"80783982","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 this paper we have designed an interactive device of bionic flower based on linkage mechanism by studying the shape and structure of flowers. Firstly, in order to solve the problem of variable morphology of the bionic flower, we have built the internal skeletal structure of the bionic flower in accordance with the working principle of the hinge linkage mechanism; secondly, based on the internal skeletal structure, we have tested a variety of ductile materials, and identified the multifunctional paper material that can be shape-shifting and color-changing; thirdly, we have used the key technology of Arduino to build the intelligent sensors and hardware, and solved the opening and closing sequence and response range of multiplecluster interactive objects. This article research provides new ideas for the display of flower and plant science to the public from the perspective of bionics, and gives new application areas and cultural values to the interactive bionic design of plants and flowers.
{"title":"Research on bionic flower interaction technology based on linkage mechanism","authors":"Dongna Cai, Shihan Zhang","doi":"10.3233/jcm-226776","DOIUrl":"https://doi.org/10.3233/jcm-226776","url":null,"abstract":"In this paper we have designed an interactive device of bionic flower based on linkage mechanism by studying the shape and structure of flowers. Firstly, in order to solve the problem of variable morphology of the bionic flower, we have built the internal skeletal structure of the bionic flower in accordance with the working principle of the hinge linkage mechanism; secondly, based on the internal skeletal structure, we have tested a variety of ductile materials, and identified the multifunctional paper material that can be shape-shifting and color-changing; thirdly, we have used the key technology of Arduino to build the intelligent sensors and hardware, and solved the opening and closing sequence and response range of multiplecluster interactive objects. This article research provides new ideas for the display of flower and plant science to the public from the perspective of bionics, and gives new application areas and cultural values to the interactive bionic design of plants and flowers.","PeriodicalId":14668,"journal":{"name":"J. Comput. Methods Sci. Eng.","volume":"1 1","pages":"1897-1911"},"PeriodicalIF":0.0,"publicationDate":"2023-05-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"74839458","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}