Abstract.As a novel construction material with exceptional tensile toughness and crack control capability, the durability of Engineered Cementitious Composites (ECC) in cold environments is of significant importance. This paper systematically investigates the performance evolution and mechanisms of ECC under freeze-thaw cycles. The research indicates that freeze-thaw cycles lead to a reduction in the peak stress of ECC, coarsening of the internal pore structure, and weakening of the fiber-matrix interface. However, the bridging action of fibers can effectively inhibit the propagation of macro-cracks. … Read more →

Abstract.As the core support of the intelligent connected vehicle industry, the Internet of Vehicles (IoV) is a key carrier for the integrated development of "electrification, intelligence, and connectivity". This paper systematically sorts out the evolution process of IoV technology forms, and analyzes its core technical architecture and practical characteristics from the Perception Layer, Network Layer, and Application Layer. Combining global and China's industrial development data, it explores the core trends such as industrial ecological reconstruction and technological integration innovation. It … Read more →

Abstract.The research shows that the quality of indoor environment directly affects people's physical and mental health, comfort and work efficiency. In view of the defects of the existing humidification and dehumidification integrated machine in the current market, this design integrates the humidification and dehumidification functions on the basis of retaining its original functions. The internal structure is mainly divided into upper and lower working areas. The upper working area is a dehumidification area, which thoroughly purifies the inhaled air by inhaling moist air, and then filters it … Read more →

Abstract.As critical transportation infrastructure, the structural integrity of bridges and pavements directly impacts the safety and service life of transportation systems. Traditional manual crack detection methods suffer from inefficiency, subjectivity, and difficulties in result quantification. In recent years, the rapid advancement of computer vision technologies and artificial intelligence theories has provided effective solutions to these challenges, particularly through intelligent crack segmentation methods based on deep learning, which have demonstrated significant advantages.This paper … Read more →

Abstract.The dynamic and distributed nature of the "End-Edge-Cloud" collaborative architecture increases the uncertainty of task offloading decisions, leading to higher computational latency and energy consumption. This paper proposes the Improved Puma Optimization Algorithm (IPOA) to address the multi-objective optimization problem in the "End-Edge-Cloud" collaborative architecture. The IPOA enhances the traditional Puma Optimization Algorithm (POA) by introducing an adaptive solution acceptance strategy driven by charging dynamics and the Levy flight mechanism. Additionally, a multi-objective … Read more →

Abstract.The long-standing stagnation of North African integration is due to a complex and diverse set of reasons, including structural factors such as political divisions, economic disparities, and external intervention, as well as deeper socio-cultural variables such as religion. As a crucial region of Islamic civilization, North Africa's population, with over 90% sharing an Islamic identity, provides a potential value foundation and cultural resource for regional integration. However, when religion is politicized or conflicts with the interests of core countries, its spillover effects can weaken the … Read more →

Abstract.Based on grey correlation and RBF neural network-multi-island genetic algorithm, combined with finite element simulation to optimize the structural parameters of the monolithic elastic righting device to improve its reset force performance. The righting device is a circumferentially symmetric structure, and the model is simplified to a single bow piece model of 1/6. The bow piece chord length, width, and thickness are selected as the key parameters, and a three-factor, four-level orthogonal experiment is conducted to analyze the influence of each parameter with the help of the gray correlation … Read more →

Abstract.Video keyframe extraction technology, as a core component of video summarization, retrieval, and content analysis, continues to receive widespread attention in the field of computer vision. With the rapid development of diverse applications such as smart cities, autonomous driving, and human-computer interaction, the sources and scenarios of video data have become increasingly complex, placing higher demands on keyframe extraction techniques. In dynamic scenes, factors such as intense environmental interference and highly variable motion of subjects often cause traditional extraction methods … Read more →

Abstract.Since most iron ores are buried underground and costly, similar materials play an important role in model tests. To meet the demand for similar materials in simulation tests such as iron ore mining, similar materials for iron ore were prepared using quartz sand and iron powder as aggregates, and cement and gypsum as binders. The orthogonal test design method was adopted, with four influencing factors selected: cement content, quartz sand content, iron powder content and gypsum content, and each factor was set at four levels. Through weighing and uniaxial compression tests under 16 different … Read more →

Abstract.To investigate and compare the performance of different machine learning algorithms in forecasting, this paper presents a case study on predicting industrial land use. We conduct a benchmarking study employing four representative algorithms: Linear Regression, Random Forest, Naïve Bayes, and Artificial Neural Networks (ANN). The historical data of Shandong Province from 2001 to 2022 was established as the dataset for this study, in which GDP, FAI(Fixed Asset Investment), and IOVAS(Industrial Output Value Above Scale) were set as independent variables, while ILV(Industrial Land Volume)was used … Read more →

Abstract.Tectonic coal is a product of intense deformation and transformation of coal under tectonic stress. The complexity of its pore structure directly affects the occurrence and migration efficiency of coalbed methane (CBM), which is one of the key factors restricting CBM development in high-stress mining areas. Located in the northeastern part of the Qinshui Basin, the Yuwu Mining Area is characterized by frequent regional tectonic activities, with various tectonic types such as faults and folds developed, resulting in the extensive distribution of tectonic coal and significant differences in … Read more →

Abstract.Aiming at the problem of low efficiency in logistics management of shipbuilding enterprises in China,this paper proposes an intelligent manufacturing workshop logistics tracking system based on digital twin technology. The system utilizes Internet of Things (IoT) technology, RFID tags, and sensing devices to achieve real-time monitoring and visual management of the entire process of materials from procurement, warehousing, and outbound to production. Application results show that this system can significantly improve the logistics efficiency of shipbuilding enterprises, reduce operational … Read more →

Abstract.As transportation infrastructure gradually ages and maintenance costs continue to rise, efficient and precise defect detection of bridges, road surfaces, and concrete structures has become a critical factor in ensuring operational safety. Traditional manual crack identification methods are not only inefficient and subjective but also pose safety risks. The rapid advancement of computer vision and artificial intelligence technologies, particularly deep learning, offers effective solutions to address these challenges. This paper systematically reviews research on the application of deep learning … Read more →

Abstract.Photovoltaic (PV) power data exhibits strong non-stationarity due to solar irradiance fluctuations, diurnal temperature variations, and operating condition changes. Traditional Discrete Wavelet Transform (DWT)-LSTM models are limited by fixed wavelet bases and static fusion strategies, failing to effectively capture dynamic multi-scale features. To address this, we propose an Adaptive Dynamic Wavelet Fusion-LSTM (ADWF-LSTM) model, which integrates an Adaptive Dynamic Wavelet Fusion (ADWF) module with LSTM. The ADWF module dynamically optimizes wavelet basis parameters and multi-scale fusion … Read more →

Abstract.This study examines the nighttime economy of Zhaoqing Qilou Street, conducting interviews with 18 tourists from Zhaoqing, Chaoshan, Guangzhou, Foshan, Yunfu, Dongguan, Jiangmen, and Shenzhen. Using text analysis software ROST CM6 and NVIVO15, the research evaluates tourists' experiences and perceptions of the Qilou Street nighttime economy. The findings reveal current challenges including subpar service quality, inadequate public facilities, low cultural adaptation, and homogenized business formats. The study proposes five recommendations: 1) Enhance service quality; 2) Improve public … Read more →

Abstract.Structural health monitoring is crucial for ensuring the safe operation of civil engineering infrastructure. With the deep integration of computer vision technology and traditional inspection methods, along with the rapid advancement of smart maintenance concepts, image enhancement and quality improvement techniques for crack images captured in complex environments-such as above water, underwater, and in tunnels-have become increasingly important. These images often suffer from issues like blurriness, low contrast, and significant noise interference. By systematically reviewing spatial domain … Read more →

Abstract.To investigate the frost resistance and mechanical performance stability of Polyvinyl Alcohol Engineered Cementitious Composites (PVA-ECC) in cold regions, a series of rapid freeze-thaw tests were conducted on PVA-ECC specimens with four fiber volume contents (0%, 1.0%, 1.5%, and 2.0%). The effects of freeze-thaw cycles (0, 50, 100, 150, and 200 cycles) on the surface morphology, mass loss rate, relative dynamic elastic modulus, and cubic compressive strength of the specimens were systematically analyzed. The results indicate that freeze-thaw cycles cause cumulative damage to PVA-ECC, … Read more →

Abstract.Aiming at the residual deformation problem caused by thermal stress in metal 3D printing, this study proposes a topology optimization design method incorporating manufacturing constraints. Efficient prediction of residual deformation and experimental validation are achieved by extracting inherent strain loads through elastoplastic thermo-mechanical coupled finite element analysis. Combined with the Floating Projection Topology Optimization (FPTO) framework, the sensitivity of residual deformation is derived, establishing a multi-condition multi-objective optimization algorithm that minimizes … Read more →

Abstract.With the rapid development of offshore oil and gas resources exploitation, deep-sea pipelines, as the core of marine energy transportation, face severe challenges in regular inspection and maintenance. Autonomous Underwater Vehicle (AUV) cluster technology has become a promising solution to address the limitations of single AUV in efficiency, coverage, and reliability during deep-sea operations. This paper focuses on the application of AUV cluster control in deep-sea pipeline inspection. First, it analyzes the technical difficulties of deep-sea pipeline inspection and the advantages of AUV … Read more →