alexandria engineering journal最新文献

{"title":"Novel method for robust bilateral filtering point cloud denoising","authors":"Huan Yang ,&nbsp;Wei Wang ,&nbsp;Yue Wang ,&nbsp;Peng Wang","doi":"10.1016/j.aej.2025.04.099","DOIUrl":"10.1016/j.aej.2025.04.099","url":null,"abstract":"<div><div>Bilateral filtering for point cloud denoising relies on the normal of the points. However, normals are not inherent attributes of point clouds but are estimated using algorithms such as principal component analysis (PCA). Due to inaccuracies in the normals, bilateral filtering may lead to unexpected results, such as smoothing in sharp regions. This study addressed this issue by improving the accuracy of normals. Initially, PCA was employed to estimate the initial normals of the point cloud. The points were then categorized into edge and planar points by fitting a three-dimensional sphere. Subsequently, iterative weighted PCA was applied to refine the normals of the edge points. Finally, the improved normals were integrated into bilateral filtering to achieve point cloud denoising. Additionally, a robust estimator was used instead of a Gaussian function to compute the weights in the bilateral filtering. To assess and compare the performance of this algorithm with related ones, the mean square angular error (MSAE) and angular error distribution (AE) were employed to evaluate the accuracy of normal estimation, while the mean square error (MSE) and signal-to-noise ratio (SNR) were employed to assess the denoising performance. Results indicate that the proposed method yielded the most accurate normals compared to PCA, Jet, and VCM normal estimation algorithms. Moreover, when compared to algebraic point set surfaces (APSS), robust implicit moving least squares (RIMLS), anisotropic weighted locally optimal projection (AWLOP), bilateral filtering, and guided filtering point cloud denoising algorithms, the proposed method consistently achieved the smallest MSE and the highest SNR in most cases on the dataset used in this study.</div></div>","PeriodicalId":7484,"journal":{"name":"alexandria engineering journal","volume":"127 ","pages":"Pages 573-585"},"PeriodicalIF":6.2,"publicationDate":"2025-05-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144084391","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Analysis of combined pressure-driven and electroosmotic hydrothermal features of non-Newtonian nanofluid in variable cross-section microchannel with slip-dependent zeta potential","authors":"Debanjan Banerjee ,&nbsp;Sukumar Pati ,&nbsp;Pankaj Biswas ,&nbsp;László Baranyi","doi":"10.1016/j.aej.2025.05.033","DOIUrl":"10.1016/j.aej.2025.05.033","url":null,"abstract":"<div><div>The present study investigates the hydrodynamic and thermal behavior of combined electroosmotic and pressure-driven flow of non-Newtonian nanofluid through a variable cross-section microchannel considering the effects of slip-dependent zeta potential, magnetic field, Joule heating, viscous dissipation and thermal radiation. The closed-form expressions of electrical double-layer potential, velocity, and temperature distributions have been derived using a biviscosity model of non-Newtonian fluid to compute the shear stress and Nusselt number (Nu). The divergence in the microchannel strengthens the influence of the magnetic field and weakens the influence of hydrodynamic slippage on the axial velocity. Moreover, the variation in channel height significantly affects the shear stress, with substantial impacts of the Hartmann number and apparent viscosity. The Nusselt number (Nu) increases with the divergence in the geometry and such increasing rate is higher for lower Hartmann numbers. Nusselt number becomes zero for higher radiation parameters in the narrow portion of the microchannel and alters significantly due to the apparent zeta potential. The nanoparticle volume fraction has a marginal effect on Nu except at the position of maximum channel height.</div></div>","PeriodicalId":7484,"journal":{"name":"alexandria engineering journal","volume":"127 ","pages":"Pages 541-549"},"PeriodicalIF":6.2,"publicationDate":"2025-05-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144072156","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"A new statistical model with Monte Carlo simulation: Theory and applications in music education and reliability engineering","authors":"Yining Wang ,&nbsp;Xintao Ma ,&nbsp;Xiaowei Huang ,&nbsp;ELsiddig Idriss Mohamed ,&nbsp;Alhanouf Alburaikan ,&nbsp;Huda M. Alshanbari","doi":"10.1016/j.aej.2025.04.055","DOIUrl":"10.1016/j.aej.2025.04.055","url":null,"abstract":"<div><div>Probability distributions are fundamental to the study of real-world phenomena, but there are occasionally very few practical ways to achieve peak performance. As a result of this fact, therefore, numerous researchers have started to pursue new statistical models. This study also proposes a novel statistical model called arcsine tangent flexible Weibull (ASTF-Weibull) distribution. The ASTF-Weibull distribution is the product of combining the flexible Weibull extension distribution with an established trigonometric distributional method. Certain distributional properties, particularly those related to quartiles, are derived for the ASTF-Weibull distribution. The maximum likelihood estimation method is employed to obtain the estimators for the parameters of the ASTF-Weibull distribution. In addition, a simulation study is performed to evaluate the reliability of these estimators. Finally, we conduct a practical exploration of the practicality of the ASTF-Weibull distribution by analyzing two different data sets. Music education is the subject of the first data set, while reliability engineering is the subject of the second data set. Our empirical study provides convincing evidence that the ASTF-Weibull distribution is suitable for modeling both data sets. When comparing the ASTF-Weibull distribution with the conventional and unconventional probability distributions, it is clear that the ASTF-Weibull distribution is superior.</div></div>","PeriodicalId":7484,"journal":{"name":"alexandria engineering journal","volume":"127 ","pages":"Pages 550-561"},"PeriodicalIF":6.2,"publicationDate":"2025-05-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144072059","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Performance enhancement of cross-axis-wind-turbine: Design and CFD analysis of an omni-directional flow concentrator","authors":"Christopher Clement Rusli ,&nbsp;Keen Kuan Kong ,&nbsp;Shin Yee Khoo ,&nbsp;Su Xian Long ,&nbsp;Wen Tong Chong","doi":"10.1016/j.aej.2025.05.034","DOIUrl":"10.1016/j.aej.2025.05.034","url":null,"abstract":"<div><div>Wind energy harvesting faces challenges in turbulent, low-speed, and variable wind conditions, particularly in urban or complex terrain environments. Cross-axis wind turbines (CAWTs) aim to combine advantages of horizontal-axis wind turbines (HAWTs) and vertical-axis wind turbines (VAWTs), but previous designs using flat plate deflectors show suboptimal performance due to insufficient vertical wind redirection and lack of omni-directional capabilities. This study introduces a novel omni-directional flow concentrator (ODFC) to enhance CAWT performance, addressing these limitations. The ODFC was designed and refined through computational fluid dynamics (CFD) simulations, investigating parameters such as layer number, diameter, deflection angle, and fin count. Results demonstrate that the ODFC redirects wind vertically at 67.17–76.33 % of initial speed, improving upon the flat plate deflector by 50.66 %. Prototype fabrication and experimental validation confirmed these findings. Through CFD analysis, the CAWT-ODFC showed performance improvement of 100 %, 150 %, and 12 % compared to CAWT-flat plate, VAWT, and HAWT, respectively. Preliminary CFD analysis of a scaled-up integrated CAWT-ODFC yielded a promising power coefficient of 0.50, indicating potential for efficient energy harvesting in full-scale applications. These findings demonstrate that the ODFC significantly enhances the CAWT performance in diverse settings and challenging wind conditions including urban and remote areas.</div></div>","PeriodicalId":7484,"journal":{"name":"alexandria engineering journal","volume":"127 ","pages":"Pages 500-521"},"PeriodicalIF":6.2,"publicationDate":"2025-05-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144072155","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"An intelligent framework for sarcasm detection in Arabic tweets using deep learning with Al-Biruni earth radius optimization algorithm","authors":"Reema G. AL-anazi ,&nbsp;Muhammad Swaileh A. Alzaidi ,&nbsp;Majdy M. Eltahir ,&nbsp;Wafa Sulaiman Almukadi ,&nbsp;Samah Hazzaa Alajmani ,&nbsp;Abdulbasit A. Darem ,&nbsp;Mohammed Alshahrani ,&nbsp;Nawaf Alhebaishi","doi":"10.1016/j.aej.2025.05.040","DOIUrl":"10.1016/j.aej.2025.05.040","url":null,"abstract":"<div><div>Social media networks play a major role in expressing people’s feelings, reviews, and thoughts. One of the popular linguistic patterns to express or criticize one’s ideas with ridicule is sarcasm, where they have unintended and intended meanings in written text. The sarcastic text is used to reverse the polarity of the sentiment. As a result, sarcasm detection in the text positively affects the sentimental analysis (SA) tasks and improves accuracy. The sarcasm recognition of Arabic content is constrained even though Arabic is the most popular language for web content sharing, and yet still naive owing to various challenges, such as the insufficient data sources, the multiple dialects, and the morphological structure of the Arabic language. This study presents an Artificial Intelligence Driven Sarcasm Detection using Optimal Deep Learning (AIDSD-ODL) technique on Arabic tweets. In the AIDSD-ODL technique, a hyperparameter-tuned DL model is utilized to identify sarcastic or non-sarcastic Arabic tweets. At the initial stage, the AIDSD-ODL method undergoes data pre-processing to convert the input tweets into a compatible format. In the next phase, the Glove word embedding process is used in the AIDSD-ODL technique. The self-attention bidirectional long short-term memory (SA-BiLSTM) model is utilized for sarcasm detection. The Al-Biruni Earth Radius (BER) model is implemented for the hyperparameter selection process to enhance the performance of the SA-BiLSTM network. The experimental results of the AIDSD-ODL method are examined under the Arabic tweets dataset. The comparison study of the AIDSD-ODL method portrayed a superior accuracy value of 94.20 % over existing models.</div></div>","PeriodicalId":7484,"journal":{"name":"alexandria engineering journal","volume":"127 ","pages":"Pages 562-572"},"PeriodicalIF":6.2,"publicationDate":"2025-05-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144072392","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Intelligent integration of AI and IoT for advancing ecological health, medical services, and community prosperity","authors":"Abdulrahman Alzahrani ,&nbsp;Patty Kostkova ,&nbsp;Hamoud Alshammari ,&nbsp;Safa Habibullah ,&nbsp;Ahmed Alzahrani","doi":"10.1016/j.aej.2025.05.046","DOIUrl":"10.1016/j.aej.2025.05.046","url":null,"abstract":"<div><div>Artificial Intelligence (AI) and the Internet of Things (IoT) are developing so fast that they can bring revolutionary changes in ecological sustainability, public health, and community welfare. In contrast, the present waste management system has a set of inefficiencies due to some challenges, such as poor waste stream segregation, limited real-time data analysis, and negligible integration of recent technology. These challenges lead to environmental degradation, public health hazards, and inefficient usage of resources. This research targets these challenges by designing an IWM framework like AI-IoT for smart waste management. The system employs AI models powered by IoT sensors for efficient waste collection, classification, and optimization of recycling schedules. CNN (convolutional neural networks) with transfer learning enabled by Res-Net provides high-accuracy image recognition, which can be used for waste classification. Bidirectional Encoder Representations from Transformers (BERT) allow multilingual users to interact and communicate properly in any linguistic environment. Data collected from IoT-enabled smart bins is transmitted in real-time to a central control system for dynamic decision-making and follow-up analysis. A pilot exercise to verify the system's effectiveness was implemented in metropolitan settings to show the transformation: landfill dependency was decreased by 30 %, recycling efficiency was greatly increased to 90 %, and thus the cost of waste management was optimized. At the same time, environmental health inequity, causing pathogen-related threats, was reduced by 35 %. The model has an accuracy of 96.8 %. The features of the proposed framework not only provide solutions to the existing inefficiencies but also enhance scalability, cost-effectiveness, and global environmental standardization. This dawns the futuristic growth of AI- and IoT-enabled waste management systems, which hinge on sustainability, public health, and resource efficiency. This research also sets standards for how new technologies can be successfully interfaced toward waste-environment, waste-health, and waste-community issues.</div></div>","PeriodicalId":7484,"journal":{"name":"alexandria engineering journal","volume":"127 ","pages":"Pages 522-540"},"PeriodicalIF":6.2,"publicationDate":"2025-05-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144072157","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Aerodynamic model identification of supersonic aircraft using Bayesian approach-based Box–Jenkins structure","authors":"Muhammad Fawad Mazhar ,&nbsp;Muhammad Wasim ,&nbsp;Manzar Abbas ,&nbsp;Imran Shafi ,&nbsp;Jamshed Riaz ,&nbsp;Tai-hoon Kim ,&nbsp;Imran Ashraf","doi":"10.1016/j.aej.2025.04.059","DOIUrl":"10.1016/j.aej.2025.04.059","url":null,"abstract":"<div><div>Nonlinear aerodynamics complexities of trending supersonic fighter aircraft entail formulation of a robust and reliable System Identification (Sys ID) technique that is capable of giving deep insight into its nonlinear characteristics and being self-capable of fitting into future advancements. This study discovers a decoupled longitudinal aerodynamic model of an open-loop supersonic aircraft using a novel algorithm that blends grey-box modeling architecture i.e. Box–Jenkins (BJ) structure with Bayesian approach, named as Box–Jenkins–Bayesian–Estimation (BJBE). BJ model utilizes a nonlinear least square estimator for parameter identification, which has been improved by the Levenberg–Marquardt algorithm for parameter error minimization, and further refinement is accomplished through Bayes’ theorem using its maximum-a-posteriori characteristics. Bayesian estimation, due to its a-priori feature, fully explores grey-box modeling BJ structure, which no other estimation technique does. The proposed solution involves the construction of a discrete-time BJ model using a simulated input–output dataset generated from the Flight Dynamic Model of F-16 aircraft, followed by the reduced-order model using Bayesian information criteria and parameter optimization using Bayesian theorem. A closer analysis of results has been conducted through statistical techniques like residual analysis, best-fit percentage, fit percentage error, mean squared error, and model order. Results show good agreement between model predictions and simulated flight data with an accuracy of 82.42%. Based upon this research, control laws of supersonic jets have been investigated through a novel technique, further leading to the development of its flight simulator module.</div></div>","PeriodicalId":7484,"journal":{"name":"alexandria engineering journal","volume":"127 ","pages":"Pages 472-485"},"PeriodicalIF":6.2,"publicationDate":"2025-05-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144069788","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Enhancing the robustness of solar photovoltaic fault classification based on depthwise separable group equivariant CNNs","authors":"Jielong Guo ,&nbsp;Chak Fong Chong ,&nbsp;Pedro Henriques Abreu ,&nbsp;Chao Mao ,&nbsp;Chan-Tong Lam ,&nbsp;Benjamin K. Ng","doi":"10.1016/j.aej.2025.04.063","DOIUrl":"10.1016/j.aej.2025.04.063","url":null,"abstract":"<div><div>Solar photovoltaic (PV) power generation has experienced significant growth and thermal infrared (IR) imaging via unmanned aerial vehicles (UAVs) has become an efficient method for inspecting large-scale PV plants. However, variations in UAV flight paths and weather conditions cause orientation changes, luminance variations, and increased noise, challenging the robustness of fault classification models. This study introduces <em>p4(m)</em> depthwise separable group equivariant convolution module to address these challenges. The proposed models offer advantages in terms of model size, parameter count, fault classification performance, and robustness for solar PV panel images. Without data augmentation, the proposed model achieves 84.0% accuracy for the 12-Class task and 75.0% for the 11-Class task on the Infrared Solar Module dataset. Compared to data augmentation-based methods, the proposed model shows 1.7% higher accuracy in the 12-Class task and 4.2% in the 11-Class task. Additionally, the proposed model achieves a 7.3% improvement over non-augmented ensemble models in the 12-Class task, while maintaining model size and parameters below 20% of baseline models. Robustness evaluation reveals significant accuracy improvements under real-world image transformations: 9.25% for rotational changes, 8.66% for luminance variations, and 28.37% for noise interference. These results demonstrate the model’s effectiveness in handling challenging conditions while maintaining computational efficiency.</div></div>","PeriodicalId":7484,"journal":{"name":"alexandria engineering journal","volume":"127 ","pages":"Pages 486-499"},"PeriodicalIF":6.2,"publicationDate":"2025-05-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144069789","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Active/robotic capsule endoscopy - A review","authors":"Yasmin Khattab ,&nbsp;Peter P. Pott","doi":"10.1016/j.aej.2025.05.032","DOIUrl":"10.1016/j.aej.2025.05.032","url":null,"abstract":"<div><div>Capsule endoscopy represents an appealing alternative to conventional endoscopic procedures that cause discomfort to the patient and are considered tedious to the operator due to difficulty of endoscope manipulation because of the limited degrees of freedom (DOF). Therefore, active capsule endoscopy has become an important research topic as it enables targeted intestinal examination by controlling the capsule’s movements inside the gastrointestinal (GI) tract. An overview of the current state of art of active capsule endoscope systems is provided in this paper, discussing their different locomotion methods that can be classified to internally actuated and externally actuated. In addition to providing an overview of capsule endoscope functions, since the requirements of capsule endoscopy actuation (passive or active locomotion) might derive from the purpose/ function of the capsule. Developed capsule endoscope systems are discussed and systems with similar locomotion methods are compared. Generalized control schemes are presented to demonstrate the general control strategies implemented in each group of active capsule endoscope systems.</div></div>","PeriodicalId":7484,"journal":{"name":"alexandria engineering journal","volume":"127 ","pages":"Pages 431-451"},"PeriodicalIF":6.2,"publicationDate":"2025-05-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144069786","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Understanding the characteristics of SO2 capture: Effect of solar-assisted adsorbent, isotherms, kinetics, thermodynamics, and mechanism","authors":"Divya Baskaran ,&nbsp;L. Nagarajan ,&nbsp;Panchamoorthy Saravanan ,&nbsp;Hun-Soo Byun","doi":"10.1016/j.aej.2025.05.031","DOIUrl":"10.1016/j.aej.2025.05.031","url":null,"abstract":"<div><div>The study contributed to developing sustainable clean energy technologies by providing a novel approach for SO₂ capture, which is essential for reducing emissions and mitigating climate change. Due to its high stability and corrosion resistance, reduced graphene oxide (RGO) is preferred for SO₂ capture. In this study, GO was reduced sustainably using sunlight (SARGO) and was employed for SO₂ adsorption. By using various characterization techniques, it was confirmed that the synthesized SARGO adsorbent has a mesoporous structure with potential functional groups, great thermal stability, high surface area (713.4 m²/g), pore size (4.89 nm), and pore volume (0.79 cm³/g). The maximum adsorption capacity and efficiency were 23.72 mg/g and 93.8 %. Sips isotherm and Pseudo-second order kinetic models are more appropriate for relating the SO₂ adsorption to the SARGO adsorbent. Along with thermodynamic studies, the adsorption mechanism and photoreduction mechanism were detailed. The SO₂ adsorption process belongs to exothermic, spontaneous, and physical adsorption. Further, the obtained wide functional groups of O–H, –COOH, and –O– are favorable for SO₂ adsorption onto the adsorbent via hydrogen bonding, acid-base interactions, dipole-dipole interactions, and covalent bonds. SARGO has excellent reusability and stability for industrial applications. The approximate cost was roughly calculated to be $1.25/mg of SO₂ adsorbed onto SARGO adsorbent. The study findings successfully demonstrated the potential for environmental engineering, particularly in air pollution control, sustainable energy, and clean technologies, emphasizing the potential of solar-assisted adsorbents for reducing emissions and optimizing industrial processes. The study provided a thorough understanding of the adsorbent characteristics, including isotherms, kinetics, thermodynamics, and mechanisms, offering valuable insights for industrial applications.</div></div>","PeriodicalId":7484,"journal":{"name":"alexandria engineering journal","volume":"127 ","pages":"Pages 452-471"},"PeriodicalIF":6.2,"publicationDate":"2025-05-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144069787","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}