All of the articles in this proceedings volume have been presented at the [DESD2024] during [November 8th-10th, 2024] in [Nanjing, Jiangsu, China]. These articles have been peer reviewed by the members of the [Scientific Committee] and approved by the Editor-in-Chief, who affirms that this document is...

Objective: To improve the accuracy of fall risk prediction for the elderly, establish an efficient prediction model based on neural network, and thus reduce the number of fall events, improve the quality of life and safety level of the elderly. Methods: A comprehensive study of the sports, health and...

This article adopts research methods such as literature review, questionnaire survey, and expert interviews to explore the O2O hybrid training model for pure sports education instructors based on the OBE concept from four aspects: clarifying training objectives, innovating training processes, emphasizing...

This article explores the optimization construction of talent cultivation ideas that adapt to the development of the garment industry in the digital era, develops digital talents outputting in the garment industry, and accelerates the transformation, upgrading, and reconstruction of the garment industry...

With the rapid development of information technology, all kinds of data have achieved explosive growth, and human society has entered the era of data explosion. Big data plays an increasingly critical role in online marketing, and online marketing based on big data has become an important means of marketing,...

This study aims to enhance the response efficiency of intelligent voice assistants in tourism industry services by analyzing technical performance improvements and application strategies. It thoroughly examines the application of these assistants in tourism, assessing their functionality in information...

Spatial ability, a fundamental aspect of human cognition, has been the focus of extensive research, particularly within the Purdue Spatial Visualization Test: Rotations (PSVT: R) framework. This study employs bibliometric analysis to explore the landscape of PSVT: R application research, aiming to address...

This study aims to optimize the sharing and allocation of teaching resources for cybersecurity courses by applying reinforcement learning technology, thereby improving resource utilization efficiency and teaching quality. The deep Q-network (DQN) algorithm was used to design and implement an intelligent...

With the rapid development of logistics industry, the demand for logistics talents is also increasing. Logistics education in higher vocational colleges plays an important role in training logistics talents. However, there are still some deficiencies in the training mode of logistics talents in higher...

This exploration aims to study how machine learning technology can identify student behavior and thus strengthen the supervision and management efficiency of educational venues. High-definition monitoring equipment was deployed in a middle school, and advanced sound capture technology was used with the...

The purpose of this study is to deeply analyze the application scope of virtual reality technology in architectural English teaching, and to use specific examples and effectiveness evaluation to prove its potential value in enhancing students’ professional English ability and practical skills. It also...

Library services are reflected through reader behavior, and the intentions behind these behaviors provide a basis for improving library services. Therefore, studying the carbon footprint of reader behavior in the process of library services is of great practical significance for enhancing the quality...

This paper aims to explore the definition, composition and innovative practices of intelligent economic management system in data-driven decision-making, artificial intelligence integration and blockchain application, and look forward to its future development direction, so as to provide reference for...

This study is dedicated to analyzing the role of artificial intelligence technology in curriculum development and teaching activities, with a special focus on the contribution of intelligent tutoring systems to improving students’ English learning outcomes. In an urban public high school, an optimized...

Big data has put forward new requirements for traditional financial accounting theory and practice. However, the research and publication of textbooks on financial big data analysis are still in their infancy. RPA supports code-free development, which is relatively easier to use than Python and more...

Jade fish is a kind of fish-shaped jade ornaments in ancient times, the use of jade fish throughout the history of Chinese jade culture. The Shang Dynasty was the heyday of jade fish development. Due to the unique religious form of the Shang Dynasty, the jade fish of this period not only has wearing...

In order to ensure safe production and solve the problem of time-consuming and labor-intensive for human mental workload detection, we have developed a fast detection platform for human mental workload. This platform can quickly detect the mental load of subjects by analyzing their voice data, physiological...

This paper explores the challenging task of housing price prediction using machine learning algorithms. Leveraging a dataset of Beijing housing prices from 2011 to 2017, various preprocessing techniques, including handling missing values and feature extraction, were employed. Attributes were selected...

Teacher’s classroom speech has a significant impact on students’ learning experience and teaching effect, and is the key to connect mathematical knowledge with practical problems. Firstly, the traditional analysis method of teachers’ classroom speech, the application status of deep learning in education,...

When computer graphics software is used as a design tool for fonts, it becomes very convenient for fonts to be enlarged, reduced, elongated, flattened, and slanted, and the artistic production effects such as metal characters, woodgrain characters, crystal characters, flame characters, and embossed characters...

Legal risk assessment during constructing “Public Security Brain” is an essential part of building a scientifically intelligent police system. The legal risk factors affecting the construction of the “Public Security Brain” are summarised and extracted, realistic and feasible research and evaluation...

The article analyzes existing cross-provincial and cross-regional electricity spot market clearing models. Then, aiming to minimize total generation cost and cross-provincial transmission cost, a clearing model for cross-provincial and cross-regional electricity spot markets is established. By integrating...

With the continuous progress of new energy systems and the comprehensive and in-depth reform of China’s electricity market, the introduction of the electricity reserve market trading mechanism is extremely important. In this context, computer technology, big data analysis, automation, and mechanical...

Virtual power plant is a collection of multiple distributed power sources, loads and energy storage devices. It can operate as a special power plant and provide demand response services and grid auxiliary services. Customer portrait technology can be used to accurately locate high-quality users with...