Journal of Progress in Engineering and Physical Science

Dynamics of Atmospheric Environment: Key to Understanding Climate Change

2025-06-27T10:37:42+00:00

Understanding the dynamics of the atmospheric environment is fundamental to comprehending the mechanisms and impacts of climate change at both regional and global scales. This paper provides an in-depth review of key atmospheric processes, including the structural composition and functions of atmospheric layers, global wind and pressure systems, mechanisms of moisture transport, and ozone layer behavior. Particular attention is given to the intricate ways in which anthropogenic activities influence these atmospheric processes. The dynamics of the atmosphere regulate critical climatic variables such as global temperature distribution, rainfall variability, and the frequency and intensity of extreme weather phenomena. Notably, this review explores how modifications in atmospheric circulation patterns—such as the shifting of Hadley Cells, alterations in jet streams, and stratospheric-tropospheric interactions—are reshaping climate behavior across latitudes. The ozone layer, which plays a vital role in maintaining thermal equilibrium and shielding the biosphere from harmful ultraviolet radiation, is also examined in the context of its degradation and its feedback effect on climate systems. Human-induced drivers, including the emission of greenhouse gases, land-use change, deforestation, and industrial emissions, are identified as catalysts of atmospheric instability and climate anomalies. Drawing upon authoritative scientific assessments from bodies such as the Intergovernmental Panel on Climate Change (IPCC), NASA, and the World Meteorological Organization (WMO), the paper underscores the urgent need for integrated climate governance. It concludes that a comprehensive grasp of atmospheric dynamics is indispensable for designing effective climate adaptation and mitigation strategies. The study advocates for enhanced atmospheric research and reinforced global cooperation to mitigate climate risks and foster environmental sustainability.

Efficient Energy-Saving LED Lighting Systems in the US Market: Localization and Innovative Practices of Shenzhen Romanso Electronic Co., Ltd.

2025-06-27T10:39:37+00:00

This paper explores the localization and innovative practices of efficient energy-saving LED lighting systems in the US market through the case study of Shenzhen Romanso Electronic Co., Ltd. (hereinafter referred to as “Romanso”). It examines the technical adaptability, energy-saving effects, user experience, and market feedback of Romanso’ LED lighting products in the US market, analyzes its successful experiences and challenges in meeting US market demands, and proposes corresponding strategic recommendations. Through case analysis and data support, this paper demonstrates Romanso’ technological innovation capabilities and market competitiveness in the LED lighting field, providing useful references for other companies entering the US market.

Design and Optimization of High-Efficiency and Energy-Saving LED Luminaires

2025-06-27T10:40:54+00:00

With the increasing global emphasis on energy conservation and emission reduction, LED luminaires have become a hot topic in the field of lighting due to their high efficiency and energy-saving characteristics. This paper aims to explore the design and optimization of high-efficiency and energy-saving LED luminaires to improve their luminous efficacy, heat dissipation performance, and energy efficiency. First, the optical characteristics of LED luminaires, including the principles of light emission, light intensity distribution, and beam angle, are analyzed, and the basic principles and common methods of optical design are introduced. Then, through the use of optical simulation software, the light distribution is optimized, and optimization strategies for light distribution in different application scenarios are proposed. In terms of thermal management, the selection and layout of heat sinks are studied, and the advantages and disadvantages of heat sinks made of different materials are analyzed. The thermal performance is verified through experiments and numerical simulations. In addition, the design of high-efficiency driver circuits, including constant current driving and dimming functions, is explored to enhance the energy efficiency of the luminaires. Finally, through case studies of practical applications, the importance of integrated design of optics, thermodynamics, and circuits is demonstrated, and suggestions for further optimization of luminaire design are put forward. The research results show that by comprehensively optimizing the optical design, thermal management, and driver circuits, the performance of LED luminaires can be significantly improved, contributing to energy conservation and emission reduction.

Energy Consumption Analysis and Optimization Strategies in Silicone Rubber Production

2025-06-27T10:42:21+00:00

This paper investigates the current status of energy consumption in silicone rubber production and proposes corresponding optimization strategies. Through on-site surveys and data analysis, the main energy-consuming processes in silicone rubber production, including mixing, forming, vulcanization, and post-processing, have been identified. The study reveals that these processes account for a significant proportion of energy consumption and have considerable potential for energy savings. To address this, a series of optimization measures are proposed, including equipment upgrading and retrofitting, process parameter optimization, application of energy management systems, and utilization of renewable energy sources. Additionally, the importance of establishing energy-saving management systems, enhancing employee training and awareness, and policy support for energy consumption optimization is discussed. Through case analysis, the effectiveness and feasibility of the proposed optimization strategies are verified. The results show that by comprehensively applying energy-saving technologies and management measures, the energy consumption level of silicone rubber production enterprises can be significantly reduced, with substantial improvements in economic and environmental benefits. This research provides a systematic energy optimization plan for silicone rubber production enterprises, which holds significant theoretical and practical value.

Optimization of Optical Design for LED Luminaires

2025-06-27T10:44:16+00:00

With the rapid development of LED technology, the application of LED luminaires in the field of lighting is becoming increasingly widespread. However, how to improve the light efficiency and uniformity of light distribution of LED luminaires remains a significant challenge. This paper takes the LED luminaire products of Shenzhen Starsteck Co. Ltd. as the research object and explores methods and practices for optimizing optical design. By employing advanced optical design software and optimization algorithms, combined with practical experimental verification, this paper proposes a systematic process for optical design optimization. Experimental results show that the optimized LED luminaires have achieved significant improvements in both light efficiency and uniformity, not only enhancing lighting quality but also improving user experience. This study provides important references and guidance for the design and development of LED luminaires, with significant theoretical and practical significance.

High-Performance Hardware Accessories and Metal Products

2025-06-27T10:45:48+00:00

With the rapid development of modern industry, high-performance hardware accessories and metal products play a vital role in numerous fields. This paper delves into the development strategies, technological innovation applications, and market prospects of high-performance hardware accessories and metal products. By conducting a comprehensive analysis of the global hardware and metal products industry and integrating the rich practical experience of companies such as Suzhou McNichol Machinery and Equipment Co., Ltd., this study reveals the opportunities and challenges currently faced by the industry and proposes a series of recommendations to promote the high-quality development of the hardware and metal products industry. It is hoped that these research findings will provide valuable references for relevant enterprises, helping them stand out in fierce market competition and achieve sustainable development.

Climate Shift Observation in Nigeria: The General Impact on the Climatic Zones

2025-06-27T10:47:13+00:00

This study examines the impacts of climate change across Nigeria’s diverse climatic, and ecological zones, including the Sahelian, Sudanian, Guinea Savannah, Mangrove, freshwater, and rainforest regions. Over the past 50 years, significant temperature increases and erratic precipitation patterns have led to substantial declines in agricultural productivity, particularly in staple crops like maize, sorghum, cassava, and yams. Water bodies and such as Lake Chad and the Niger River, have shrunk considerably, exacerbating water scarcity issues. Health impacts include rising incidences of vector-borne diseases and heat-related illnesses. Climate models project further temperature increases and extreme weather events by 2050, underscoring the need for robust adaptation and mitigation strategies. Community-driven adaptation efforts are in place but require enhanced support for greater effectiveness. This comprehensive analysis highlights the urgent need for coordinated action to ensure Nigeria’s socio-economic stability and environmental sustainability. Residences of most of Nigerian cities are complaining of heat wave, people tend to tire out without easily, it has been observed the fan are blowing hot air.

Research on Optimization of Species Classification Algorithms for Metagenomic Data Based on Deep Learning

2025-07-04T01:23:45+00:00

Traditional methods for the analysis of complex microbial communities are subject to several limitations, including the difficulty of distinguishing closely related species due to high sequence similarity, the susceptibility to data noise from sequencing errors and host DNA contamination, and the limited ability of existing deep learning models to effectively extract features from long sequences. In order to address these challenges, this study investigates deep learning-based optimization strategies for metagenomic species classification algorithms. It is suggested that an enhanced approach be adopted, incorporating k-mer frequency statistics in conjunction with sequence truncation, with the objective of mitigating noise interference. Additionally, an attention mechanism is to be integrated into a CNN framework, with the intention of enhancing the weighting of critical features. Furthermore, the introduction of Focal Loss is proposed, with the aim to address class imbalance in species classification. Our tests using both artificial and natural metagenomic samples show clear improvements with the enhanced method. The upgraded algorithm works better than standard machine learning techniques and the basic CNN model. It identifies and classifies microbial species more accurately across all tested datasets. Performance gains appear consistently in all evaluation metrics. The method’s superior capability is particularly evident when handling complex, real-world microbiome data. These results confirm the practical value of our optimization approach for microbial community analysis.