Advanced Electromagnetics

This study presents a dual-path collaborative generation framework for art concept maps based on multimodal inputs, including textual descriptions, hand-drawn sketches, and style reference images. The system integrates a precise control flow, leveraging ControlNet for structural and semantic alignment, with a creative inspiration flow guided by a style memory module to enhance artistic expression…

Efficient semantic relevance ranking is essential for intelligent information delivery in modern wireless communication and data-driven service systems, where accurate content matching can improve the utilization of communication resources and user experience. To overcome the limitations of conventional BERT models in semantic understanding, business knowledge integration, and real-time inference…

“Thoughts of the Sun” is an orchestral work composed by Gao Weijie in 1986 during the rise of New Wave Music in China after the Reform and Opening-up. In this period, Chinese composers actively explored the localization of Western modernist techniques and sought international expressions for Chinese music. As a representative academic composer, Gao Weijie neither fully followed avant-garde experi…

Against the background of manufacturing upgrading and the high-quality development of vocational education, the cultivation of craftsman spirit has become an important requirement for training skilled engineering personnel. This requirement is particularly relevant to precision manufacturing fields such as antenna assembly, electromagnetic material processing, microwave device fabrication, and fu…

Skin wound repair remains a major challenge in regenerative medicine, particularly for chronic wounds requiring sustained bioactive regulation and intelligent therapeutic intervention. Recent advances in smart textile fiber scaffolds (STFS) have provided versatile platforms for localized drug delivery and responsive biomedical applications, with increasing relevance to wearable sensing and electr…

In the context of the new era, China’s higher art education has entered a stage of high-quality transformation in which aesthetic education, cultural development, and diversified talent demand jointly require renewal of university vocal music teaching. Taking bel canto vocal education as the research object, this study examines the limitations of the traditional one-to-one and skill-centered teac…

In traditional artistic creation, inspiration relies heavily on subjective experience and occasional associations, resulting in limited systematicity and controllability during the early conception stage. Similar challenges also exist in intelligent visual design and information presentation for engineering applications, where efficient human–machine interaction and semantic visualization are inc…

Natural dyes and textile substrates have gained renewed attention due to their environmental compatibility, material diversity, and potential use in sustainable functional textiles. In addition to artistic expression, the colour stability, surface characteristics, and substrate treatment of dyed textiles may affect the development of electromagnetic shielding fabrics, wearable antenna substrates,…

Distributed intelligent systems increasingly require collaborative learning across heterogeneous data sources while preserving data confidentiality, a challenge that is also relevant to networked sensing and communication environments. To address the security and efficiency limitations of centralized training in textile enterprises, this study develops a federated-learning-based English job skill…

Efficient material traceability and lifecycle management are essential for achieving circular utilization in indoor renovation projects. This study proposes a reversible decoration framework based on a Digital Material Cycle Map (DMCM) to support the tracking, recovery, and reuse of construction materials throughout their service lifecycle. The framework integrates Digital Product Passport concep…

In urban traffic big data scheduling, this paper proposes an intelligent scheduling model combining Optimal Transport theory and the Sinkhorn algorithm to address insufficient flow optimization, with consideration of traffic resource allocation in connected transportation environments supported by wireless sensing, road-side communication, and electromagnetic information infrastructure. In the sp…

To address the challenge of jointly optimizing employee performance and functional textile quality in intelligent manufacturing environments, this study proposes a multi-objective collaborative optimization framework based on an improved Double Deep Q-Network (DDQN). A multidimensional state-space model is constructed by integrating employee behavioral indicators, production process parameters, a…

Kesi, a traditional Chinese silk-weaving technique centered on the core craft of “tong jing duan wei”, is renowned as the “sacred art of weaving.” Its ability to render lines and create layered textures provides a unique carrier for the three-dimensional presentation of calligraphy art. This paper systematically sorts out the historical context of the integration between calligraphic textures and…

The spirit of the Party’s self-revolution provides important guidance for governance innovation in textile enterprises. Marx’s statement in Capital that “the relations of production must adapt to the development of productive forces” reveals the internal law that corporate governance systems must evolve with the times. As an important part of traditional advantageous industries, textile enterpris…

Global warming intensifies heat exposure in rural mountain-forest scenic areas of humid-hot regions, making landscape morphology optimization important for improving climatic comfort. Taking the Western Sichuan Bamboo Sea Scenic Area as a case, this study integrates field measurements of temperature, humidity, and wind speed with thermal-response questionnaire surveys to characterize local microc…

Reliable early-warning systems in complex information environments require efficient feature extraction, adaptive parameter optimization, and accurate classification of high-dimensional data. This study proposes a data-driven intelligent warning framework integrating principal component analysis (PCA), an improved particle swarm optimization (PSO) algorithm, and support vector machines (SVM). PCA…

With the expansion of university scale and the complexity of campus environment, campus safety has evolved into a comprehensive system involving multiple dimensions such as personnel flow, facility operation, and emergencies, including the management of laboratories, public facilities and high-density activity areas. The traditional security assessment methods for universities have limitations su…

The rapid advancement of digital technologies has created new opportunities for transforming college physical education through the integration of reinforcement learning, smart wearable systems, and intelligent sensing technologies. As wireless communication infrastructures and electromagnetic information transmission increasingly support real-time interaction between wearable devices and mobile …

As the global energy mix shifts toward cleaner sources, the large-scale grid integration of photovoltaic (PV) power poses severe challenges to microgrid frequency stability and security. From a fundamental physical perspective, the solar radiation driving photovoltaic conversion consists of electromagnetic waves on the micrometer scale; as these waves traverse the atmosphere, they undergo intense…

This study presents an Internet-of-Things-enabled movement recognition framework (MRA-IoT) for real-time monitoring and assessment of athletic performance. The system employs a wearable sensor array to acquire multi-joint kinematic signals, which are processed through high-precision floating-point computation, gradient analysis, and vector operations to detect subtle biomechanical deviations. A m…