Games play a very important role in people’s daily life, and human-computer interaction, as an indispensable element in the interface design of computer games, has been increasingly emphasized. In computer games, the human-computer interaction of interface design has a great influence on the user’s experience, operation mode and gameplay. Based on this, this paper discusses human-computer interaction in game interface design from the basic principles of human-computer interaction in computer game interface design.

There is a high degree of compatibility between the community with a shared future for mankind and the community with a shared future for classes. Universities should focus on the fundamental task of cultivating socialist builders and successors, draw on the theory of the community with a shared future for mankind, and use institutional policy culture, environmental interconnection culture, team collaboration culture, competitive technology culture, and think tank culture as supporting elements to construct a “five in one” pattern of class culture construction, fully leveraging the core field characteristics of the class, Committed to achieving the common development of individual college students and class collectives, and improving the quality of education in universities.

With the increasing severity of global climate change, achieving carbon peak and carbon neutrality has become a shared responsibility of the international community. As an important way to reduce greenhouse gas emissions and promote energy structure transformation, the coordinated development of the industrial chain and innovation chain of new energy vehicles has become the key to achieving the “dual carbon” goal. This article aims to explore how to promote the effective integration and coordinated development of the new energy vehicle industry chain and innovation chain through policy guidance, technological innovation, and market mechanism optimization under the guidance of the “dual carbon” goal, in order to provide strategic support for achieving the dual goals of sustainable economic development and environmental protection.

The French philosopher Bernard Stiegler’s philosophy of technology is wide spread all over China, while the researchers do not pay the same amount of passion in critical analysis and uncritical applications. Few articles have been issued on the topic of the originality of general organology. Through problematic analysis and research of thought of history, the academic significance and contemporary value of general organology has been revealed, which is a synthesis of the study of the history of the body and the history of technology that helps to scientifically understand the technical reality and psychological reality in contemporary eras.

Under the perspective of the rapid development of information technology, the field of mechanical design and manufacturing has ushered in unprecedented changes. Traditional design methods and manufacturing processes gradually show limitations under the wave of digitalization and intelligence, such as low work efficiency, limited design accuracy, high production cost and other problems have become the bottleneck of the development of the industry. In order to solve these problems, this paper focuses on the integrated application of computer aided design (CAD), automatic manufacturing technology and intelligent monitoring system, aiming to improve the design accuracy, optimize the manufacturing process, reduce costs, so as to promote the development of mechanical design and manufacturing industry to a more efficient and accurate direction.

Addressing the challenges of limited noise suppression, inaccurate edge detection, and poor adaptability encountered in the detection of workpiece image edges in complex industrial environments, this study introduces an adaptive algorithm for edge detection that integrates morphological processing with the Canny operator. Firstly, a weighted adaptive morphological processing is designed to extract the gradient magnitude and direction. Secondly, this extracted information is weighted fused with the gradient magnitude and direction obtained from the traditional Canny operator. Subsequently, an adaptive dual threshold algorithm is devised for edge detection and connection. Finally, the proposed algorithm is experimentally validated using images collected from industrial robot assembly lines. The results demonstrate that the proposed algorithm outperforms traditional methods, detecting more effective and continuous edges with significant noise reduction.

This article discusses in depth the innovation strategy of English teaching mode in colleges and universities under the perspective of big data, aiming at solving the challenges faced by the traditional teaching mode in the era of information technology. The article firstly puts forward the main problems existing in the current English teaching in colleges and universities, including the dispersion of learning resources, students’ insufficient knowledge of English learning and inappropriate learning methods. Subsequently, three major innovative strategies are proposed: using big data to optimise the design of personalised learning paths, constructing data-driven teaching content and assessment systems based on data, and promoting the integration of collaborative learning and practical applications. Through real-life case studies, the paper demonstrates how these strategies can be implemented in concrete terms and discusses their positive impacts on improving teaching efficiency, enhancing learning experiences, and fostering students’ comprehensive English application skills. Finally, it summarises the important role of big data technology in the innovation of English teaching in colleges and universities, and looks forward to the future development trend of the teaching model. This paper provides innovative ideas and practical guidance based on big data technology for the field of English teaching in colleges and universities, aiming to promote the continuous improvement of education quality and optimisation of learning effects.

Post internship is a way for students to participate in production work directly after learning knowledge and skills, which is of great significance for students’ future employment and development. As a place to train high-quality and skilled talents, on-the-job practice is an important link in education and an important way to complete the talent training program. In order to effectively improve students’ mastery of professional knowledge and complete the cultivation of students’ good quality and professionalism, secondary vocational colleges should actively lead students to carry out on-the-job internships, so as to effectively promote the development of students and the construction of secondary vocational colleges.