Volume 16 Issue 6

This study takes City S, a mega-city in North China, as the research object. Based on a thorough review of relevant literature and theoretical foundations, it employs the Principal Component Analysis (PCA) method to construct a multidimensional indicator system encompassing population, economy, society, and ecology. Using statistical data from 2013...

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This paper proposes a waste heat recovery system that integrates a small-scale Organic Rankine Cycle (ORC) power generation unit with an air compressor using lubricating oil. An innovative design directly connects the capacitor to the scroll expander, replacing the traditional generator. Experimental results show that when the lubricating oil is at...

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In today's world, High-Performance Computing (HPC) is driving scientific research forward at an astonishing rate, but behind every top HPC device lies a high-load power grid, which has sparked deep concern among environmentalists. This study develops a mathematical model to evaluate the power consumption of global HPC equipment and quantify its env...

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Environmentally friendly lead-free metal halide scintillators have attracted significant research interest in recent years in the field of radiation detection due to their low toxicity and outstanding radioluminescent properties. However, enhancing the luminescence performance of lead-free metal halide scintillators and fabricating thin films that ...

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In the era of digital communication, the exponential growth of user-generated content across social media and online platforms has intensified the demand for effective emotion analysis tools. Traditional text-based sentiment analysis methods, however, often fall short in accurately capturing the nuances of human emotions due to their reliance on a ...

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Against the backdrop of Electric Vehicle (EV) proliferation, accurately predicting the spatiotemporal distribution of charging demand is crucial. However, traditional methods face considerable challenges. This study aims to uncover the dynamic patterns of charging demand and construct a predictive framework. Methodologically, the ARIMA time series ...

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Accurate viewport prediction is crucial for enhancing user experience in 360-degree video streaming. However, due to significant behavioral differences among user groups, traditional single LSTM models tend to fall into local optima and fail to achieve precise predictions. To address this, this paper proposes a hybrid prediction model based on user...

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Dielectric loss microwave absorbing materials have been widely used to mitigate electromagnetic interference and achieve radar stealth. Their design and optimization involve multiple electromagnetic parameters, such as dielectric constant, magnetic permeability, and loss factors. Traditional optimization methods typically require extensive computat...

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This paper presents a comprehensive review of the key technologies and recent developments in the field of Civil Unmanned Aerial Vehicle (CUAV), systematically analyzing the latest developments in flight platform technology, propulsion and energy technology, and navigation and control systems. Special attention is given to the performance character...

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With the rapid development of industries such as artificial intelligence and big data, the demand for liquid cooling in data centers is continuously increasing. Among various technologies, cold plate liquid cooling has become one of the most widely applied methods. The performance and quality of components in the cooling system directly affect its ...

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