This article first respectively introduces the characteristics of product design and digital media technology, combined with knowledge of the new economic background and user participation trends in innovation, analyz...This article first respectively introduces the characteristics of product design and digital media technology, combined with knowledge of the new economic background and user participation trends in innovation, analyzed the shortcomings of traditional design expression and digital media technology, through the use of digital media flash design expression and method, to solve the problem of traditional design expression. Finally, through the expression model of digital media and interactive animation based on flash animation technology, showed that flash obtained the rapid development and application in the multimedia platform.展开更多
The informatization of higher vocational education is the future development trend,and it is also encouraged and promoted by the Ministry of Education.This article focuses on the road and bridge major,combined with th...The informatization of higher vocational education is the future development trend,and it is also encouraged and promoted by the Ministry of Education.This article focuses on the road and bridge major,combined with the author’s experience in introducing virtual simulation and three-dimensional(3D)animation technology into relevant course teaching in recent years,discusses the application of virtual simulation and 3D animation technology in higher vocational education and promotes classroom revolution,to obtain better teaching effect.展开更多
The integration of Artificial Intelligence(AI)into dairy farm management through biometric facial recognition of cows marks a significant milestone in livestock care.This comprehensive review explores the development,...The integration of Artificial Intelligence(AI)into dairy farm management through biometric facial recognition of cows marks a significant milestone in livestock care.This comprehensive review explores the development,implementation,and challenges associated with AI-powered biometric facial identification in dairy agriculture.It emphasizes the pivotal role of this innovation in enabling precise monitoring of individual cows,thereby facilitating thorough tracking of their health,behaviors,and productivity levels.Derived from facial recognition technologies originally designed for humans,this approach harnesses distinctive features of cow faces for gentle and immediate observation within large-scale farming operations.The evolution of AI from basic pattern recognition to advanced Convolutional Neural Networks(CNNs)and deep learning frameworks signifies a transition toward data-driven agriculture.This analysis addresses notable challenges such as environmental variability,data collection difficulties,ethical considerations,and technological limitations.Furthermore,it compares various AI frameworks,highlighting their unique advantages and suitability in the dairy farming context.Despite these obstacles,facial recognition technology holds promise for enhancing farm efficiency,improving animal welfare,and promoting sustainable practices,underscoring the need for ongoing research and innovation.We advocate for future investigations focused on enhancing adaptability to diverse environments,ensuring ethical AI deployment,fostering compatibility across different breeds,and integrating with complementary agricultural technologies.Ultimately,this review underscores the transformative impact of AI in advancing dairy farming towards a data-centric future while prioritizing responsible agricultural practices.展开更多
文摘This article first respectively introduces the characteristics of product design and digital media technology, combined with knowledge of the new economic background and user participation trends in innovation, analyzed the shortcomings of traditional design expression and digital media technology, through the use of digital media flash design expression and method, to solve the problem of traditional design expression. Finally, through the expression model of digital media and interactive animation based on flash animation technology, showed that flash obtained the rapid development and application in the multimedia platform.
基金2021 Chongqing Energy Vocational College Science and Technology Department Teaching Reform Project"Discussion and Practice of Teaching Reform of"Bridge and Culvert Engineering Construction Technology"Based on Road and Bridge Simulation Software"(202106)。
文摘The informatization of higher vocational education is the future development trend,and it is also encouraged and promoted by the Ministry of Education.This article focuses on the road and bridge major,combined with the author’s experience in introducing virtual simulation and three-dimensional(3D)animation technology into relevant course teaching in recent years,discusses the application of virtual simulation and 3D animation technology in higher vocational education and promotes classroom revolution,to obtain better teaching effect.
文摘The integration of Artificial Intelligence(AI)into dairy farm management through biometric facial recognition of cows marks a significant milestone in livestock care.This comprehensive review explores the development,implementation,and challenges associated with AI-powered biometric facial identification in dairy agriculture.It emphasizes the pivotal role of this innovation in enabling precise monitoring of individual cows,thereby facilitating thorough tracking of their health,behaviors,and productivity levels.Derived from facial recognition technologies originally designed for humans,this approach harnesses distinctive features of cow faces for gentle and immediate observation within large-scale farming operations.The evolution of AI from basic pattern recognition to advanced Convolutional Neural Networks(CNNs)and deep learning frameworks signifies a transition toward data-driven agriculture.This analysis addresses notable challenges such as environmental variability,data collection difficulties,ethical considerations,and technological limitations.Furthermore,it compares various AI frameworks,highlighting their unique advantages and suitability in the dairy farming context.Despite these obstacles,facial recognition technology holds promise for enhancing farm efficiency,improving animal welfare,and promoting sustainable practices,underscoring the need for ongoing research and innovation.We advocate for future investigations focused on enhancing adaptability to diverse environments,ensuring ethical AI deployment,fostering compatibility across different breeds,and integrating with complementary agricultural technologies.Ultimately,this review underscores the transformative impact of AI in advancing dairy farming towards a data-centric future while prioritizing responsible agricultural practices.
