Journal of Progress in Engineering and Physical Science

Research and Benefit Analysis of High-Performance Fiber-Reinforced Precision Rubber-Plastic Composites for Green Manufacturing

Tao Chen — 2025-08-29

With the increasingly prominent global environmental issues, green manufacturing has become an important direction for the transformation and upgrading of the manufacturing industry. The traditional precision rubber and plastic processing process consumes large amounts of resources and emits a lot of waste, making it difficult to meet the dual requirements of current environmental protection policies and market demands. High-performance fiber-reinforced composites are widely used in aerospace, automobile manufacturing, electronic equipment and other fields due to their excellent mechanical properties and lightweight characteristics. However, the current production process of such materials still has problems of high energy consumption and heavy pollution, and has not yet achieved true green manufacturing. Therefore, the development of a high-performance fiber-reinforced precision rubber-plastic composite material for green manufacturing has important practical significance. This study aims to reduce energy consumption and waste emissions during production by optimizing material formulations and production processes, while improving the mechanical properties and service life of the materials. Through life cycle assessment and cost-benefit analysis, the comprehensive environmental and economic benefits of the new materials are systematically evaluated, and the feasibility and advantages of the new materials in actual production are verified with Qingdao Eager High-Precision Plastic and Rubber Co., Ltd as a case study. The research results will provide technical support for the green transformation of the precision rubber and plastic industry and promote the sustainable development of the industry.

Geospatial Analysis of Flood Vulnerability Using GIS-Based Multi-Criteria Decision—Analysis for Ahoada East and West Local Government Areas of Rivers State, Nigeria

Frank Bikume Mokie Sam — 2025-08-29

Flooding poses a persistent and escalating threat to communities in the Niger Delta, particularly in Ahoada East and Ahoada West, and this study employs a Multi-Criteria Decision Analysis (MCDA) approach to assess the risks and impacts. The primary aim was to identify, map, and assess the spatial distribution of flood-prone areas and the varying degrees of vulnerability, thereby informing effective disaster risk management.

Employing a quantitative research design, the study integrated diverse physical (e.g., elevation, slope, proximity to rivers), environmental (e.g., land use/land cover, drainage density), and socio-economic indicators (e.g., population density, housing quality, access to services). The Analytical Hierarchy Process (AHP) was utilized to determine indicator weights, followed by Weighted Linear Combination (WLC) to generate a composite flood vulnerability map. The findings reveal a heterogeneous spatial distribution of vulnerability, with areas along major river channels and those characterized by low-lying topography exhibiting the highest susceptibility. Crucially, socio-economic sensitivities, such as high population density and informal housing, significantly amplify overall vulnerability, transforming moderately exposed areas into high-risk zones. The study implicitly highlights a pervasive low adaptive capacity, underscoring the communities’ limited ability to cope and recover, further compounded by environmental degradation.

This research contributes a granular, localized flood vulnerability map for Ahoada East and West LGAs, filling a critical knowledge gap and providing actionable intelligence for targeted interventions. It reinforces theoretical frameworks by demonstrating the synergistic interplay of exposure, sensitivity, and adaptive capacity in real-world contexts. Recommendations include implementing targeted flood risk management plans, promoting flood-resilient infrastructure, strengthening socio-economic resilience, investing in environmental restoration, enhancing community engagement, improving data collection, integrating flood risk into land-use planning, and fostering inter-agency collaboration. These measures are vital for building resilient communities and mitigating the escalating impacts of flooding in the Niger Delta.

Integrated Evaluation of Smart City Information Products: A Study on Application Expansion and Urban Governance Enhancement

Jin Zhang — 2025-08-29

Amidst the acceleration of global urbanization, the construction of smart cities has emerged as a crucial approach to enhance urban governance and the quality of public services. This study focuses on the application expansion of smart city information products in diverse scenarios and their impact on urban governance and public services. Relying on the Intelligent Channel Management System (ICMAS), this research delves into the application practices of smart city information products in key areas such as transportation, environmental protection, and public services. Through pilot monitoring and effect evaluation in several selected cities, the results demonstrate that the application of smart city information products can significantly improve the intelligence level of urban governance, optimize the supply of public services, enhance residents’ quality of life, and provide strong support for sustainable urban development. This study offers theoretical basis and practical guidance for the promotion of smart city information products, aiming to advance the modernization of urban governance and formulate the best practice plans for the promotion of smart city information products.

Application of Learning Analytics Technology in Architectural Education Informatics

Hongfei Yu — 2025-08-29

Learning analytics technology, a crucial component of educational informatics, offers educators profound insights into students’ learning behaviors and outcomes. This study investigates the application of learning analytics technology in architectural education informatics, using the “Fundamentals of Architectural Design” course at Huazhong University of Science and Technology as a case study. It explores the application of learning analytics technology in architectural education, including learning behavior analysis, learning outcome prediction, and learning intervention strategies. The findings reveal that learning analytics technology can significantly enhance teaching efficiency, optimize learning experiences, and promote educational equity. The study concludes that learning analytics technology holds great potential for application in architectural education and provides strong support for the informatization reform of architectural education.

Dynamic Protocol Adaptation Mechanism and Standardization Path for Cross-Border Hotel Direct-Connect Interfaces

Chao Zhang — 2025-08-29

The rapid development of the cross-border hotel reservation market has highlighted the significance of direct-connect interface technology as a crucial means to enhance reservation efficiency and user experience. However, protocol compatibility poses a significant challenge to this technology. This study focuses on the standardization of direct-connect technology and proposes an innovative dynamic protocol adaptation mechanism to address the compatibility issues arising from protocol differences among various hotel systems. By conducting an in-depth analysis of the limitations of existing direct-connect interface technologies, this paper constructs a theoretical framework for the dynamic protocol adaptation mechanism and designs and implements the key technical modules of this mechanism, including protocol parsing and conversion, dynamic adaptation strategies, and data exchange and validation. Additionally, this study explores the standardization path based on the dynamic protocol adaptation mechanism and proposes specific plans for protocol specification formulation, interface standard unification, and the integration of security and privacy protection standards.

Through a case study of Zhang Chao’s successful application of the dynamic protocol adaptation mechanism in a hotel-led supplier direct-connect project, this paper verifies the effectiveness of the mechanism in solving protocol compatibility issues and improving operational efficiency. The research findings indicate that the dynamic protocol adaptation mechanism not only significantly enhances the compatibility and stability of cross-border hotel direct-connect interfaces but also provides strong support for the standardization development of the industry. This study offers new insights and methods for the technological development of the cross-border hotel reservation industry and holds important theoretical and practical significance.

Research on the Self-Organization and Automation Mechanism of Cross-Border Supply Chains Empowered by Intelligent Perception and Their Adaptability

Dingsong Ni — 2025-08-29

In the context of accelerating global economic integration, cross-border supply chains are confronted with complex challenges such as multi-party involvement, dynamic demand, and rigid processes. Traditional supply chain management models exhibit significant deficiencies in coping with dynamic demand and are unable to efficiently adapt to the rapidly changing market environment. This study focuses on the application of intelligent perception technology in cross-border supply chains, aiming to construct a self-learning and self-optimizing self-organization and automation mechanism to enhance the adaptability of cross-border supply chains to dynamic demand. The study first establishes an intelligent perception system, integrating the real-time data acquisition capability of intelligent workstation systems, multi-category product feature recognition technology, and the dynamic tracking function of cross-border orders, to build a ubiquitous perception network covering suppliers, logistics providers, and customers, thereby providing robust data support for self-organizing decision-making. Based on this, a self-organization and automation mechanism is designed. By investigating the automation rule engines of various supply chain stages, a closed-loop mechanism of “demand triggering-resource matching-process reconfiguration-performance feedback” is constructed to achieve adaptive scheduling of multi-category products in cross-border scenarios, with a particular focus on breaking through the challenge of rapid response to small-batch, high-frequency orders.

Integration and Cost Optimization of Lightweight IoT Technology in the Renovation of Small and Medium-Sized Apartments

Han Liu — 2025-08-29

The rapid development of the Internet of Things (IoT) has brought challenges to the digital transformation of small and medium-sized apartment (SMA) enterprises, such as high costs and high technical barriers for IoT transformation. This paper proposes a lightweight IoT solution suitable for apartments with a scale of 100 to 500 units, aiming to reduce the transformation threshold and achieve energy saving and cost reduction. The research focuses on the selection criteria and integration methods of low-cost intelligent sensors (such as hundred-yuan level smart locks and energy consumption monitoring modules), and through the practical case of lightweight transformation of the “Dynamic Energy Consumption Monitoring System”, the feasibility of controlling the transformation cost of a single apartment within 300 yuan is verified. This paper not only elaborates on the integration application of lightweight IoT technology in the renovation of small and medium-sized apartments, but also provides a technical path and data support for small and medium-sized apartment enterprises through cost optimization strategies and benefit analysis, offering references for the digital transformation of the industry.

Small-Pitch LED Display Technology Innovation Path and Commercial Value: From Technological Progress to Industrial Ecosystem Construction

Hong Liang — 2025-08-29

This article explores the development of small-pitch LED display technology, analyzing its evolution and market applications from three dimensions: technological innovation, business models, and industrial ecosystem. On the technical side, optimizations in epitaxy and chip technology, advancements in mass transfer technology, and full-color solutions drive pixel pitch reduction to micron levels, enhancing display performance. Business models include vertical integration, specialized division of labor, and technology licensing, each adapting to different market needs. In the industrial ecosystem, Chinese enterprises form competitive advantages through patent accumulation and supply chain optimization, but face challenges in technical standardization and cost control. The study shows that small-pitch LED technology, through continuous innovation, is reshaping the display industry landscape and will expand applications in professional displays, commercial advertising, and other fields in the future, promoting a display era of higher resolution and more efficient performance. According to the 2025 market outlook, the Micro LED chip market is expected to grow at a compound annual growth rate of 93% to $744.7 million.