Pub Date : 2023-06-30DOI: 10.17993/3ctic.2023.122.324-340
Xueyi Liu
The phenomenon of noise interference during vocal transmission can lead to the problem of poor vocal transmission quality. This paper proposes a study on the sustainability of vocal ecology in a digital ecological environment. First, the matching tracking algorithm can extract the time-frequency characteristics of the effective signal, attenuate the interference of noise, and improve the propagation quality. A sustainable development GA-BP network model is established, and the adjustment amount of each weighting coefficient is obtained according to the gradient algorithm and using the inertia adjustment strategy. The coordination is regulated through feedback control strategies to ultimately achieve ecological sustainability of vocal music. The analysis results show that the average relative error of the simulation prediction of the sustainable development GA-BP network model is 3.54%, the maximum relative error is 8.11%, and the average relative error is within 5% of 70%. It has significant superiority and high efficiency in comparison with the prediction degree of the traditional model.
{"title":"Sustainable development of vocal music ecology in a digital ecological environment","authors":"Xueyi Liu","doi":"10.17993/3ctic.2023.122.324-340","DOIUrl":"https://doi.org/10.17993/3ctic.2023.122.324-340","url":null,"abstract":"The phenomenon of noise interference during vocal transmission can lead to the problem of poor vocal transmission quality. This paper proposes a study on the sustainability of vocal ecology in a digital ecological environment. First, the matching tracking algorithm can extract the time-frequency characteristics of the effective signal, attenuate the interference of noise, and improve the propagation quality. A sustainable development GA-BP network model is established, and the adjustment amount of each weighting coefficient is obtained according to the gradient algorithm and using the inertia adjustment strategy. The coordination is regulated through feedback control strategies to ultimately achieve ecological sustainability of vocal music. The analysis results show that the average relative error of the simulation prediction of the sustainable development GA-BP network model is 3.54%, the maximum relative error is 8.11%, and the average relative error is within 5% of 70%. It has significant superiority and high efficiency in comparison with the prediction degree of the traditional model.","PeriodicalId":40869,"journal":{"name":"3C Tic","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"136365493","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}
Pub Date : 2023-06-30DOI: 10.17993/3ctic.2023.122.156-171
Chang Zhang, Yang Chen
In building the ecological civilization of the Yellow River basin, it is of extraordinary importance to preserve and develop the historical and cultural resources of the Yellow River basin to ensure the economic and cultural prosperity of its surroundings. Based on the need to better protect and develop the historical and cultural resources of the Yellow River Basin, we have developed a research system for the conservation and development of the natural and cultural resources of the Yellow River Basin. It covers both the conservation of the natural resources and the development of the cultural heritage of the Yellow River Basin. The assessment results show that in the Yellow River travel assessment score, the score in 2018 was 67.12, and in 2021 the score rises to 76.23, an increase of 13.57%. In the exploitation of the natural and historical resources of the Yellow River Basin, the scores of related travel, books, and transportation have improved significantly. Yellow River-related history books scored only 63.21 in 2018 for books and increased by 16.04% to 73.35 in 2021. In the transportation sector in the Yellow River Basin, the score was 65.37 in 2018, rising to 75 in 2021.
{"title":"Research on the Protection and Development of Historical and Cultural Resources in the Yellow River Basin from the Perspective of Ecological Civilization","authors":"Chang Zhang, Yang Chen","doi":"10.17993/3ctic.2023.122.156-171","DOIUrl":"https://doi.org/10.17993/3ctic.2023.122.156-171","url":null,"abstract":"In building the ecological civilization of the Yellow River basin, it is of extraordinary importance to preserve and develop the historical and cultural resources of the Yellow River basin to ensure the economic and cultural prosperity of its surroundings. Based on the need to better protect and develop the historical and cultural resources of the Yellow River Basin, we have developed a research system for the conservation and development of the natural and cultural resources of the Yellow River Basin. It covers both the conservation of the natural resources and the development of the cultural heritage of the Yellow River Basin. The assessment results show that in the Yellow River travel assessment score, the score in 2018 was 67.12, and in 2021 the score rises to 76.23, an increase of 13.57%. In the exploitation of the natural and historical resources of the Yellow River Basin, the scores of related travel, books, and transportation have improved significantly. Yellow River-related history books scored only 63.21 in 2018 for books and increased by 16.04% to 73.35 in 2021. In the transportation sector in the Yellow River Basin, the score was 65.37 in 2018, rising to 75 in 2021.","PeriodicalId":40869,"journal":{"name":"3C Tic","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"136365503","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}
Pub Date : 2023-06-30DOI: 10.17993/3ctic.2023.122.15-58
Alireza Abbasnejad, Mahyar Soltani
Arching is one of the most common phenomena that occur in most geotechnical structures. To determine the properties and quality of this phenomenon, a physical model has been designed and constructed. The apparatus comprises rectangular trapdoors with different widths that can yield downward while stresses and deformations are recorded simultaneously. As the trapdoor starts to fail, the whole soil mass deforms elastically. However, after an immediately specified displacement, depending on the width of the trapdoor, the soil mass behaves plastically. This behavior of sand occurs due to the flow phenomenon and continues until the stress on the trapdoor is minimized. Then the failure process develops in the sand, and the measured stress on the trapdoor shows an ascending trend. This indicates a gradual separation of the yielding mass from the whole soil body. Finally, the flow process leads to the establishment of a stable vault of sand called the arching mechanism or progressive collapse of the soil body. To simulate this phenomenon with continuum mechanics, the experimental procedure is modeled in ABAQUS software using stress- dependent hardening in an elastic state and plastic strain-dependent frictional hardening-softening with Mohr Coulomb failure criterion applying user sub-routine. The results show that the experimental data have an acceptable corresponding to the numerical analysis data. So the selected soil behavior could indicate the main aspects of the arching effect, such as the flow that occurs in specific periods of strains. In the following, the stress path in p, q, and p, ν space was extracted from numerical analysis, and the results have been discussed.
{"title":"Study of Stress Paths in Arching Effect Using Frictional Strain Hardening and Softening in Fine Sand","authors":"Alireza Abbasnejad, Mahyar Soltani","doi":"10.17993/3ctic.2023.122.15-58","DOIUrl":"https://doi.org/10.17993/3ctic.2023.122.15-58","url":null,"abstract":"Arching is one of the most common phenomena that occur in most geotechnical structures. To determine the properties and quality of this phenomenon, a physical model has been designed and constructed. The apparatus comprises rectangular trapdoors with different widths that can yield downward while stresses and deformations are recorded simultaneously. As the trapdoor starts to fail, the whole soil mass deforms elastically. However, after an immediately specified displacement, depending on the width of the trapdoor, the soil mass behaves plastically. This behavior of sand occurs due to the flow phenomenon and continues until the stress on the trapdoor is minimized. Then the failure process develops in the sand, and the measured stress on the trapdoor shows an ascending trend. This indicates a gradual separation of the yielding mass from the whole soil body. Finally, the flow process leads to the establishment of a stable vault of sand called the arching mechanism or progressive collapse of the soil body. To simulate this phenomenon with continuum mechanics, the experimental procedure is modeled in ABAQUS software using stress- dependent hardening in an elastic state and plastic strain-dependent frictional hardening-softening with Mohr Coulomb failure criterion applying user sub-routine. The results show that the experimental data have an acceptable corresponding to the numerical analysis data. So the selected soil behavior could indicate the main aspects of the arching effect, such as the flow that occurs in specific periods of strains. In the following, the stress path in p, q, and p, ν space was extracted from numerical analysis, and the results have been discussed.","PeriodicalId":40869,"journal":{"name":"3C Tic","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"136365498","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}
Pub Date : 2023-06-30DOI: 10.17993/3ctic.2023.122.227-242
Jian Wang, Yuzhen Wang
The background of the big data era makes enterprise tax management face many opportunities and challenges, in order to improve the management of enterprise capital operation risks and promote the enterprise to take the road of sustainable development. This paper firstly indexes risk names with the help of web crawler technology, establishes data sources, and then circulates the crawler to obtain the required information. Secondly, a hashing algorithm is applied to compress the massive data into a unique and extremely compact section of hash values by means of constant mapping. Then association rules are used to determine the set of frequent risk items, and the values of the two are continuously changed to derive the final predictive analysis. Finally, a capital operation risk prediction and analysis platform is built by combining the above processes. In this paper, the effectiveness of the proposed platform is verified, and the practical results show that the accuracy of the proposed platform for risk prediction discovery is as high as 97%, and the time spent for risk discovery is controlled within 30 minutes. The relevant data results verify that big data technology improves the accuracy of enterprise capital operation risk prediction and analysis while accelerating the speed of risk discovery.
{"title":"The application of big data technology in the predictive analysis of enterprise capital operation risk","authors":"Jian Wang, Yuzhen Wang","doi":"10.17993/3ctic.2023.122.227-242","DOIUrl":"https://doi.org/10.17993/3ctic.2023.122.227-242","url":null,"abstract":"The background of the big data era makes enterprise tax management face many opportunities and challenges, in order to improve the management of enterprise capital operation risks and promote the enterprise to take the road of sustainable development. This paper firstly indexes risk names with the help of web crawler technology, establishes data sources, and then circulates the crawler to obtain the required information. Secondly, a hashing algorithm is applied to compress the massive data into a unique and extremely compact section of hash values by means of constant mapping. Then association rules are used to determine the set of frequent risk items, and the values of the two are continuously changed to derive the final predictive analysis. Finally, a capital operation risk prediction and analysis platform is built by combining the above processes. In this paper, the effectiveness of the proposed platform is verified, and the practical results show that the accuracy of the proposed platform for risk prediction discovery is as high as 97%, and the time spent for risk discovery is controlled within 30 minutes. The relevant data results verify that big data technology improves the accuracy of enterprise capital operation risk prediction and analysis while accelerating the speed of risk discovery.","PeriodicalId":40869,"journal":{"name":"3C Tic","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"136365500","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}
Pub Date : 2023-06-30DOI: 10.17993/3ctic.2023.122.77-95
Fang Zhou
As a relatively mature energy storage technology, charge/discharge devices are bound to develop significantly in the contemporary society among them energy is increasingly scarce. The traditional charging and discharging device is not smart enough, slow charging and discharging and other shortcomings have limited its further high-speed development. The application of functional materials and high-voltage pulse technology can drive the further development of charging and discharging devices. In this study, a safe, low-cost, functional material with high adsorption capacity was developed. At the same time, this functional material is applied to the charging and discharging device to improve the storage capacity and discharge efficiency of the device. In addition, we combine high-voltage electric pulse technology with charging and discharging technology to improve the charging and discharging rate of the charging and discharging device. It has certain guidance and reference values for the development of high-voltage electric pulse charging and discharging devices. According to the test results, the dynamic adjustment time of the charging module output current is only 20ms, and the dynamic adjustment response time of the discharging module input current is about 0.14s. The device provides a new idea for the development of high-voltage electric pulse charging and discharging equipment.
{"title":"Development of high voltage electric pulse charging and discharging device based on functional materials","authors":"Fang Zhou","doi":"10.17993/3ctic.2023.122.77-95","DOIUrl":"https://doi.org/10.17993/3ctic.2023.122.77-95","url":null,"abstract":"As a relatively mature energy storage technology, charge/discharge devices are bound to develop significantly in the contemporary society among them energy is increasingly scarce. The traditional charging and discharging device is not smart enough, slow charging and discharging and other shortcomings have limited its further high-speed development. The application of functional materials and high-voltage pulse technology can drive the further development of charging and discharging devices. In this study, a safe, low-cost, functional material with high adsorption capacity was developed. At the same time, this functional material is applied to the charging and discharging device to improve the storage capacity and discharge efficiency of the device. In addition, we combine high-voltage electric pulse technology with charging and discharging technology to improve the charging and discharging rate of the charging and discharging device. It has certain guidance and reference values for the development of high-voltage electric pulse charging and discharging devices. According to the test results, the dynamic adjustment time of the charging module output current is only 20ms, and the dynamic adjustment response time of the discharging module input current is about 0.14s. The device provides a new idea for the development of high-voltage electric pulse charging and discharging equipment.","PeriodicalId":40869,"journal":{"name":"3C Tic","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"136366674","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}
Pub Date : 2023-06-30DOI: 10.17993/3ctic.2023.122.278-298
Puhong Qin
Under the guidance of the innovation ecology strategy, our country's higher vocational education should strengthen the cultivation of innovative talents, so as to provide a large number of high-quality technical talents with an innovative spirit for our country's macroeconomic transformation and industrial upgrading. This paper proposes research on the cultivation path of innovative and entrepreneurial talents in colleges and universities based on the theory of innovation ecology. Firstly, according to the theory of the social-ecological system, it provides a new perspective for innovation and entrepreneurship education. By exploring various environmental systems of social ecology, this paper explores new paths for the development of innovation and entrepreneurship education from the macro, meso, and micro system levels, constructs a model of innovation and entrepreneurship education for college students that can self-manage, grow and correct themselves, establishes an evaluation index system, and uses the fuzzy analytic hierarchy process to evaluate it, the evaluation value is as high as 93.348, provides theoretical and practical guidance for promoting the development of innovation and entrepreneurship education in colleges and universities in our country.
{"title":"Research on the training path of innovative and entrepreneurial talents in colleges and universities based on the theory of innovation ecology","authors":"Puhong Qin","doi":"10.17993/3ctic.2023.122.278-298","DOIUrl":"https://doi.org/10.17993/3ctic.2023.122.278-298","url":null,"abstract":"Under the guidance of the innovation ecology strategy, our country's higher vocational education should strengthen the cultivation of innovative talents, so as to provide a large number of high-quality technical talents with an innovative spirit for our country's macroeconomic transformation and industrial upgrading. This paper proposes research on the cultivation path of innovative and entrepreneurial talents in colleges and universities based on the theory of innovation ecology. Firstly, according to the theory of the social-ecological system, it provides a new perspective for innovation and entrepreneurship education. By exploring various environmental systems of social ecology, this paper explores new paths for the development of innovation and entrepreneurship education from the macro, meso, and micro system levels, constructs a model of innovation and entrepreneurship education for college students that can self-manage, grow and correct themselves, establishes an evaluation index system, and uses the fuzzy analytic hierarchy process to evaluate it, the evaluation value is as high as 93.348, provides theoretical and practical guidance for promoting the development of innovation and entrepreneurship education in colleges and universities in our country.","PeriodicalId":40869,"journal":{"name":"3C Tic","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"136365495","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}
Pub Date : 2023-06-30DOI: 10.17993/3ctic.2023.122.97-115
Jun Wang
Due to the new development stage, it is especially important to improve the education quality of private undergraduate universities. As a result, it is a new hot issue for the construction of a mechanism and assessment system for the quality improvement of private undergraduate education. In this paper, after analyzing and researching the quality of undergraduate education in present-day universities, the mechanism of deep learning is applied to the establishment of the assessment system. Finally, 1082 samples collected from the data center platform of a private university are analyzed as the research object. From the results, the final size of the combined weights of the seven evaluation items constituting the assessment system differed basically little. They were 12.81%, 15.78%, 15.28%, 14.38%, 12.83%, 12.81%, 15.01%, and 13.27%, respectively. In the comparison of this paper's method with FAHP+TOPSIS combined evaluation, euclidean map method, and genetic algorithm assignment, the difference between the seven weight values of the euclidean map method is larger, 5.56%. The evaluation times of the four methods were 41 s, 38 s, 47 s, and 118 s. Compared with the other three methods, the genetic algorithm assignment took the most time.
{"title":"Research on the Realization Mechanism and Evaluation System of High-Quality Undergraduate Education in Private Universities Based on Deep Learning","authors":"Jun Wang","doi":"10.17993/3ctic.2023.122.97-115","DOIUrl":"https://doi.org/10.17993/3ctic.2023.122.97-115","url":null,"abstract":"Due to the new development stage, it is especially important to improve the education quality of private undergraduate universities. As a result, it is a new hot issue for the construction of a mechanism and assessment system for the quality improvement of private undergraduate education. In this paper, after analyzing and researching the quality of undergraduate education in present-day universities, the mechanism of deep learning is applied to the establishment of the assessment system. Finally, 1082 samples collected from the data center platform of a private university are analyzed as the research object. From the results, the final size of the combined weights of the seven evaluation items constituting the assessment system differed basically little. They were 12.81%, 15.78%, 15.28%, 14.38%, 12.83%, 12.81%, 15.01%, and 13.27%, respectively. In the comparison of this paper's method with FAHP+TOPSIS combined evaluation, euclidean map method, and genetic algorithm assignment, the difference between the seven weight values of the euclidean map method is larger, 5.56%. The evaluation times of the four methods were 41 s, 38 s, 47 s, and 118 s. Compared with the other three methods, the genetic algorithm assignment took the most time.","PeriodicalId":40869,"journal":{"name":"3C Tic","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"136365502","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}
Pub Date : 2023-06-30DOI: 10.17993/3ctic.2023.122.300-322
Yuqi Li
With the continuous progress and development of society and the outstanding achievements of football in the field of competitive sports in recent years, the enthusiasm of citizens to participate in sports and fitness has become higher and higher. The course turf ecology is a multi-layered organic whole composed of many natural and social factors, which is an important symbol of football competitiveness. It can be predicted that the relationship between sports and the environment and the impact of environmental changes on consumer intentions are global and long-term. Therefore, according to the annual change status and formation factors of ecological benefits such as carbon sequestration and oxygen release, transpiration water release, and heat absorption in the turf of a football field in a city, the time series stability test method and the multiple regression analysis method are used to discuss the comprehensive application of the lawn ecology of the football field in enhancing the intention of sports consumption. The experimental results verify that the ecological benefits of lawns have a significant positive effect on sports consumption intentions, which can not only optimize the unreasonable sports consumption structure, improve the level of sports consumption, and increase the proportion of consumption amount of more than 5,000 yuan from 5.06% to 23.34%, but also make the leading sports consumption motivation from a more symbolic display of personality, status symbols, and social entertainment to a sportsmanlike physique, entertainment, spiritual enjoyment, and positive guidance of sports consumption motivation.
{"title":"The comprehensive application of the lawn ecology of the football field in enhancing the intention of sports consumption","authors":"Yuqi Li","doi":"10.17993/3ctic.2023.122.300-322","DOIUrl":"https://doi.org/10.17993/3ctic.2023.122.300-322","url":null,"abstract":"With the continuous progress and development of society and the outstanding achievements of football in the field of competitive sports in recent years, the enthusiasm of citizens to participate in sports and fitness has become higher and higher. The course turf ecology is a multi-layered organic whole composed of many natural and social factors, which is an important symbol of football competitiveness. It can be predicted that the relationship between sports and the environment and the impact of environmental changes on consumer intentions are global and long-term. Therefore, according to the annual change status and formation factors of ecological benefits such as carbon sequestration and oxygen release, transpiration water release, and heat absorption in the turf of a football field in a city, the time series stability test method and the multiple regression analysis method are used to discuss the comprehensive application of the lawn ecology of the football field in enhancing the intention of sports consumption. The experimental results verify that the ecological benefits of lawns have a significant positive effect on sports consumption intentions, which can not only optimize the unreasonable sports consumption structure, improve the level of sports consumption, and increase the proportion of consumption amount of more than 5,000 yuan from 5.06% to 23.34%, but also make the leading sports consumption motivation from a more symbolic display of personality, status symbols, and social entertainment to a sportsmanlike physique, entertainment, spiritual enjoyment, and positive guidance of sports consumption motivation.","PeriodicalId":40869,"journal":{"name":"3C Tic","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"136365695","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}
Pub Date : 2023-06-30DOI: 10.17993/3ctic.2023.122.261-276
Xiaoxiao Zhang
Blended teaching is a model of teaching that combines traditional classroom teaching with online teaching. The integration of blended teaching is not only the integration of carrier means but also the breakthrough of teaching mode and the expansion of teaching time and space. Based on the theory of education ecology, this paper first analyzes the mixture of college English translation teaching modes and indicates that the college English translation teaching system from the dimension of the language training system, cultivation system, and communication dimensions cultural dimensions of three parts, and communicative dimension culture contains three platforms, four interaction, five links. Then, the hardware and software of the hybrid teaching ecosystem are designed to realize translation teaching. In the test to verify the system performance in this paper, it was found that the overall iteration value of the system presented a rising trend with the increasing number of tests, and in 6 tests, the maximum iteration value of the system in this paper was always 3-12 higher than the maximum iteration value of the teaching system in the traditional protocol data test group. Therefore, the hybrid teaching ecosystem designed in this paper has obvious advantages in reliability and practicality.
{"title":"Application of hybrid teaching mode in translation teaching from the perspective of ecological concept teaching","authors":"Xiaoxiao Zhang","doi":"10.17993/3ctic.2023.122.261-276","DOIUrl":"https://doi.org/10.17993/3ctic.2023.122.261-276","url":null,"abstract":"Blended teaching is a model of teaching that combines traditional classroom teaching with online teaching. The integration of blended teaching is not only the integration of carrier means but also the breakthrough of teaching mode and the expansion of teaching time and space. Based on the theory of education ecology, this paper first analyzes the mixture of college English translation teaching modes and indicates that the college English translation teaching system from the dimension of the language training system, cultivation system, and communication dimensions cultural dimensions of three parts, and communicative dimension culture contains three platforms, four interaction, five links. Then, the hardware and software of the hybrid teaching ecosystem are designed to realize translation teaching. In the test to verify the system performance in this paper, it was found that the overall iteration value of the system presented a rising trend with the increasing number of tests, and in 6 tests, the maximum iteration value of the system in this paper was always 3-12 higher than the maximum iteration value of the teaching system in the traditional protocol data test group. Therefore, the hybrid teaching ecosystem designed in this paper has obvious advantages in reliability and practicality.","PeriodicalId":40869,"journal":{"name":"3C Tic","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"136365830","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}
Pub Date : 2023-06-30DOI: 10.17993/3ctic.2023.122.137-154
Weiqi Zhu
The development of the transportation industry can effectively accelerate the speed of economic development, in which bridges occupy an important position in transportation. The safety of the bridge design and construction process is a key part of bridge construction, and relying on human resources to investigate safety hazards greatly affects efficiency. In this paper, we combine deep learning technology and BIM model to explore the synergistic effect of both on the quality management of bridge construction phase and analyze the measured data. The results show that the application of BIM model can improve the efficiency by 35% compared with the traditional 2D CAD drawings, and the accuracy of data analysis can be improved by 12.51% and 14.26% for DNN and DBN models based on deep learning, respectively. The addition of the GSO algorithm leads to a further 19.19% improvement in the training accuracy of the coupled model. Finally, the optimization model was used to analyze the load factors and force majeure factors that affect the safety of the bridge, and to find the structural factors that affect the safety of the bridge design, which provides guidance to ensure the quality of the bridge during the construction process.
{"title":"Study on the application of deep learning technology and BIM model in the quality management of bridge design and construction stage","authors":"Weiqi Zhu","doi":"10.17993/3ctic.2023.122.137-154","DOIUrl":"https://doi.org/10.17993/3ctic.2023.122.137-154","url":null,"abstract":"The development of the transportation industry can effectively accelerate the speed of economic development, in which bridges occupy an important position in transportation. The safety of the bridge design and construction process is a key part of bridge construction, and relying on human resources to investigate safety hazards greatly affects efficiency. In this paper, we combine deep learning technology and BIM model to explore the synergistic effect of both on the quality management of bridge construction phase and analyze the measured data. The results show that the application of BIM model can improve the efficiency by 35% compared with the traditional 2D CAD drawings, and the accuracy of data analysis can be improved by 12.51% and 14.26% for DNN and DBN models based on deep learning, respectively. The addition of the GSO algorithm leads to a further 19.19% improvement in the training accuracy of the coupled model. Finally, the optimization model was used to analyze the load factors and force majeure factors that affect the safety of the bridge, and to find the structural factors that affect the safety of the bridge design, which provides guidance to ensure the quality of the bridge during the construction process.","PeriodicalId":40869,"journal":{"name":"3C Tic","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"136365491","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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