Engineering Science and Technology-An International Journal-Jestech最新文献

Belief game: Verifying smart contract functionality in player dynamic interactions 信念游戏：在玩家动态交互中验证智能合约功能

IF 5.1 2区工程技术 Q1 ENGINEERING, MULTIDISCIPLINARY

Engineering Science and Technology-An International Journal-Jestech

Pub Date : 2024-12-01 DOI: 10.1016/j.jestch.2024.101913

Xu Liu, Junwu Zhu

Smart contracts, being security-critical code, facilitate consensus among players and ensure secure and accurate value transfer, and formal verification is necessary to guarantee functional correctness of contracts. Game theory serves as one of the tools in formal verification by assessing whether the outcomes of contract executions meet the expected goals. While most studies employing game theory to verify smart contract functionality assume rational players, in practice, players may invoke and deploy smart contracts involving irrational behavior, casting doubt on the correctness of verification results. The aim of this study is to propose an alternative game model to verify smart contract functionality in dynamic player interactions where irrational behavior is involved. Specifically, a belief-based smart contract execution game (BSC-game) model was introduced, utilizing belief – the probability that a player believes in the irrationality of others – to capture how the irrational behavior of others affects a player’s contract execution decisions. Reasonable economic incentives were introduced to encourage honest behavior of players. Moreover, a computationally feasible method was designed to update players’ beliefs in large-scale dynamic smart contract executions. Theoretical analysis discloses the existence of equilibrium in the BSC-game, as well as the conditions for the number of faulty players within the system’s fault tolerance. We conducted the simulation experiments, and verified the business-oriented smart contract written in G language by the BSC-game model. The results further indicate that although players’ beliefs impact their decisions to execute contracts, reasonable economic incentives can motivate players to execute contracts honestly. This ensures that smart contract functionality aligns with expected goals, showing that the BSC-game model can verify and guarantee the correctness of contract functions. This new approach significantly contributes to bolstering smart contract security and credibility, positively influencing blockchain stability.

智能合约作为安全关键代码，促进参与者之间的共识，确保安全准确的价值转移，并且需要正式验证来保证合约的功能正确性。博弈论是评估合同执行结果是否达到预期目标的正式验证工具之一。虽然大多数采用博弈论来验证智能合约功能的研究都假设了理性的参与者，但在实践中，参与者可能会调用和部署涉及非理性行为的智能合约，从而对验证结果的正确性产生怀疑。本研究的目的是提出一种替代游戏模型，以验证涉及非理性行为的动态玩家交互中的智能合约功能。具体而言，引入了基于信念的智能合约执行博弈（BSC-game）模型，利用信念（玩家相信他人非理性的概率）来捕捉他人的非理性行为如何影响玩家的合约执行决策。引入合理的经济激励，鼓励玩家的诚实行为。此外，设计了一种计算可行的方法来更新参与者在大规模动态智能合约执行中的信念。理论分析揭示了bsc博弈存在均衡，以及系统容错范围内故障参与人数量的条件。我们进行了仿真实验，通过BSC-game模型验证了用G语言编写的面向业务的智能合约。结果进一步表明，尽管参与者的信念会影响他们的合同执行决策，但合理的经济激励能够激励参与者诚实地执行合同。这确保了智能合约功能与预期目标保持一致，表明BSC-game模型可以验证和保证合约功能的正确性。这种新方法大大有助于增强智能合约的安全性和可信度，对区块链的稳定性产生积极影响。

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引用次数: 0

Day-ahead photovoltaic power generation forecasting with the HWGC-WPD-LSTM hybrid model assisted by wavelet packet decomposition and improved similar day method 基于小波包分解和改进相似日法的HWGC-WPD-LSTM混合模型日前光伏发电预测

IF 5.1 2区工程技术 Q1 ENGINEERING, MULTIDISCIPLINARY

Engineering Science and Technology-An International Journal-Jestech

Pub Date : 2024-11-30 DOI: 10.1016/j.jestch.2024.101889

Ruxue Bai , Jinsong Li , Jinsong Liu , Yuetao Shi , Suoying He , Wei Wei

Precisely forecasting output of solar photovoltaics is crucial for (i) effective solar power management, (ii) integration into the electrical grid, (iii) flexible allocation of power resources. While deep learning algorithms have shown promise in energy applications, single algorithms often struggle with unstable predictions and limited generalizability for predicting photovoltaic (PV) output. This study introduces an innovative hybrid model (HWGC-WPD-LSTM) that integrates an improved similar day algorithm (WGC: weighted grey correlation analysis and cosine similarity), Wavelet Packet Decomposition (WPD), and Long Short-Term Memory neural network (LSTM) for predicting day-ahead power output. The model suggests an approach to identifying similar days by integrating weighted GRA with cosine similarity. It then decomposes power sequences employing WPD to capture various frequency characteristics. Four independent LSTM networks are then applied to these sub-sequences to forecast output, which are then reconstructed to derive the ultimate forecast outcome for solar photovoltaics. The evaluation of the hybrid model is conducted based on data gathered from actual generating station in Shandong Province, China. Then it is compared against other models utilizing similar day selection methods and other hybrid HWGC-BP, HWGC-Elman, HWGC-SVM, HWGC-RF, and HWGC-LSTM models. This comparison is based on four performance metrics: Mean Absolute Error (MAE), Root Mean Square Error (RMSE), normalized Root Mean Square Error (NRMSE), and Mean Absolute Deviation (MAD). Results demonstrate that the HWGC-WPD-LSTM model offers enhanced precision and stability (MAE = 0.2168 MW, RMSE = 0.2996 MW, NRMSE = 6.78 %, MAD = 2.18 %) in day-ahead power generation predictions. This highlights the potency of the hybrid model in enhancing the forecasting capabilities for solar photovoltaics, which is crucial for the strategic enhancement of renewable energy resource exploitation in the context of modern power systems.

准确预测太阳能光伏发电的输出对于(1)有效的太阳能管理，(2)并入电网，(3)灵活分配电力资源至关重要。虽然深度学习算法在能源应用中显示出前景，但单一算法在预测光伏（PV）输出时往往存在不稳定的预测和有限的通用性。本研究引入了一种创新的混合模型（HWGC-WPD-LSTM），该模型集成了改进的相似日算法（WGC：加权灰色关联分析和余弦相似度）、小波包分解（WPD）和长短期记忆神经网络（LSTM），用于预测前一天的功率输出。该模型提出了一种通过将加权GRA与余弦相似度相结合来识别相似天数的方法。然后利用WPD分解功率序列以捕获各种频率特性。然后将四个独立的LSTM网络应用于这些子序列来预测输出，然后对这些子序列进行重建，从而得出太阳能光伏发电的最终预测结果。根据山东省实际电站的数据，对混合模型进行了评价。然后与其他使用相似日选择方法的模型和其他混合HWGC-BP、HWGC-Elman、HWGC-SVM、HWGC-RF和HWGC-LSTM模型进行比较。这种比较基于四个性能指标：平均绝对误差（MAE）、均方根误差（RMSE）、标准化均方根误差（NRMSE）和平均绝对偏差（MAD）。结果表明，HWGC-WPD-LSTM模型在日前发电预测中具有较高的精度和稳定性（MAE = 0.2168 MW, RMSE = 0.2996 MW, NRMSE = 6.78%, MAD = 2.18%）。这突出了混合模型在提高太阳能光伏发电预测能力方面的效力，这对于在现代电力系统的背景下战略性地加强可再生能源的开发至关重要。

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引用次数: 0

Quantifying the impact of construction defects on square RC columns 量化结构缺陷对方形钢筋混凝土柱的影响

IF 5.1 2区工程技术 Q1 ENGINEERING, MULTIDISCIPLINARY

Engineering Science and Technology-An International Journal-Jestech

Pub Date : 2024-11-29 DOI: 10.1016/j.jestch.2024.101916

Eyad Alsuhaibani , El-Said Abd-Allah Bayoumi

Reinforced concrete (RC) columns are integral to structural integrity, and their performance is highly dependent on precise construction practices. This study investigates the influence of construction defects on the behavior of RC columns, focusing on key parameters such as misplaced longitudinal (vertical) reinforcing bars, honeycombed concrete, variations in stirrup spacing, casting eccentricity, and the effectiveness of square welded wire mesh for confinement. An experimental program was conducted with thirteen square RC column specimens designed to simulate potential construction defects. The findings demonstrate a clear relationship between defect types and column performance. Misplacement of vertical reinforcing bars by up to 50 % resulted in a 17 % reduction in ultimate load capacity. Honeycombed concrete, due to inadequate compaction, was identified as the most harmful defect, leading to a 46 % decrease in ultimate load and a 34 % reduction in toughness. Conversely, reducing stirrup spacing, while maintaining reinforcement quantity, enhanced column performance; a 33 % reduction in spacing resulted in comparable ultimate load but a 36 % increase in toughness. Increased casting eccentricity negatively impacted performance, with a 30 mm eccentricity causing a 46 % reduction in ultimate load capacity. The addition of square welded wire mesh over stirrups significantly improved performance, yielding a 13 % increase in ultimate load, while the use of welded wire mesh alone was ineffective, resulting in nearly a 50 % decrease in load capacity. These results underscore the importance of proper construction practices for the safety and durability of concrete structures. Accurate reinforcement placement, thorough concrete compaction, and precise column alignment are crucial. The research also suggests that using square welded wire mesh alongside stirrups can mitigate some construction defects’ adverse effects. Future studies should explore a broader range of column designs and loading conditions, as well as the effectiveness of various repair and strengthening techniques for columns with existing defects.

钢筋混凝土（RC）柱是结构完整性的组成部分，其性能高度依赖于精确的施工实践。本研究研究了结构缺陷对钢筋混凝土柱性能的影响，重点研究了关键参数，如错位的纵向（垂直）钢筋、蜂窝状混凝土、箍筋间距的变化、浇注偏心以及方形焊接钢丝网的约束效果。采用13个矩形钢筋混凝土柱试件进行试验，模拟潜在的施工缺陷。研究结果显示了缺陷类型和柱性能之间的清晰关系。竖向钢筋错位放置高达50%，导致极限承载能力降低17%。蜂窝状混凝土由于压实不足，被认为是最有害的缺陷，导致极限荷载降低46%，韧性降低34%。反之，减小箍条间距，在保持配筋量的同时，增强柱的性能；减小33%的间距导致了类似的极限载荷，但韧性增加了36%。增加的铸件偏心会对性能产生负面影响，30毫米的偏心会导致极限承载能力降低46%。在马镫上添加方形焊接钢丝网显著提高了性能，使极限载荷增加了13%，而单独使用焊接钢丝网是无效的，导致载荷能力下降了近50%。这些结果强调了适当的施工实践对混凝土结构的安全性和耐久性的重要性。准确的钢筋安置，彻底的混凝土压实，和精确的柱对齐是至关重要的。研究还表明，在马镫旁边使用方形焊接钢丝网可以减轻一些施工缺陷的不利影响。未来的研究应探索更广泛的柱设计和荷载条件，以及各种修复和加固技术对存在缺陷的柱的有效性。

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引用次数: 0

Human face localization and detection in highly occluded unconstrained environments 高度闭塞无约束环境下的人脸定位与检测

IF 5.1 2区工程技术 Q1 ENGINEERING, MULTIDISCIPLINARY

Engineering Science and Technology-An International Journal-Jestech

Pub Date : 2024-11-29 DOI: 10.1016/j.jestch.2024.101893

Abdulaziz Alashbi , Abdul Hakim H.M. Mohamed , Ayman A. El-Saleh , Ibraheem Shayea , Mohd Shahrizal Sunar , Zieb Rabie Alqahtani , Faisal Saeed , Bilal Saoud

Significant advancements have been achieved in the field of computer vision pertaining to the detection of human faces. This technological development holds great potential for a wide range of applications including but not limited to identification, surveillance and expression recognition. Unconstrained face identification has been significantly improved by the advancements in Deep Learning algorithms (DL). However, the presence of severe occlusion is an ongoing obstacle particularly when it obstructs a substantial section of the facial area, resulting in the absence of crucial facial characteristics. Furthermore, the limited availability of comprehensive datasets containing substantially obscured faces exacerbates the problem, impeding the efficacy of face detection programs. This study presents a new methodology, which incorporates an advanced occluded face detection (OFD) model, in order to enhance feature extraction and detection network. A dataset was developed specifically for training and testing the model. The new dataset includes faces with significant occlusion. The utilization of contextual-based annotation approaches improves the depiction of crucial facial characteristics. The OFD model exhibits exceptional performance and attaining a notable accuracy rate of 57.84%, a precision rate of 73.70% and a recall rate of 42.63%. These results surpass those achieved by alternative methods such as YOLO-v3 and Mobilenet-SSD. This study shows the capacity to make substantial progress in detecting occluded faces, hence offering the ability to make a positive influence on the domains of identification, surveillance and expression recognition.

计算机视觉领域在人脸检测方面取得了重大进展。这项技术的发展具有广泛的应用潜力，包括但不限于身份识别、监视和表情识别。深度学习算法（DL）的进步极大地改善了无约束人脸识别。然而，严重闭塞的存在是一个持续的障碍，特别是当它阻塞了面部区域的很大一部分时，导致关键面部特征的缺失。此外，包含大量模糊人脸的综合数据集的有限可用性加剧了这一问题，阻碍了人脸检测程序的有效性。本文提出了一种新的方法，该方法结合了一种先进的遮挡人脸检测模型，以增强特征提取和检测网络。专门为训练和测试模型开发了一个数据集。新的数据集包括具有明显遮挡的人脸。基于上下文的注释方法的使用改善了对关键面部特征的描述。OFD模型表现出优异的性能，准确率达到57.84%，准确率达到73.70%，召回率达到42.63%。这些结果超过了YOLO-v3和Mobilenet-SSD等替代方法所取得的结果。这项研究显示了在检测遮挡人脸方面取得实质性进展的能力，从而提供了在识别、监视和表情识别领域产生积极影响的能力。

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引用次数: 0

Development of high-speed scanning acoustic microscopy system: Simplified design and stabilization 高速扫描声学显微镜系统的开发：简化设计和稳定

IF 5.1 2区工程技术 Q1 ENGINEERING, MULTIDISCIPLINARY

Engineering Science and Technology-An International Journal-Jestech

Pub Date : 2024-11-29 DOI: 10.1016/j.jestch.2024.101911

Donghyeok Kim , Hanmin Oh , Jaeyeop Choi , Tan Hung Vo , Dinh Dat Vu , Sudip Mondal , Van Hiep Pham , Byeong-il Lee , Junghwan Oh

Scanning acoustic microscopy (SAM) is a useful tool for nondestructive inspection and provides inner structural information or defects that can adversely affect the product quality. Several SAM systems have been developed for application in various fields. Conventional SAM systems operate with a limited scanning range or long scanning time, which can cause inefficient economic and labor gains. Numerous studies have been conducted to reduce the scanning time, but these are too complicated or consume a large amount of time. In this study, a simple high-speed SAM system that provides high-quality images with high resolution within a short period of time is proposed. The scanning module is based on a single slider-crank and ball-screw mechanism to provide fast movement and low-cost development. When the system is operated at a high speed, the vibrations have a negative effect on the image quality. A stabilization process was applied to obtain high-quality images. Based on stress analysis, the main parts of the scanning module were optimized, and the counterweight was designed by applying simple mathematical modelling. To verify these vibration-reduction solutions, several samples were scanned using the developed high-speed SAM system. The obtained images successfully provided useful internal information and demonstrated the performance of the developed high-speed SAM system. Compared to other conventional SAM systems, the high-speed SAM system reduces the scanning time by approximately 77.2% with an acceptable scanning range, which shows its powerful application potential in various fields.

扫描声学显微镜（SAM）是一种有用的无损检测工具，可以提供内部结构信息或可能对产品质量产生不利影响的缺陷。已经开发了几种地对空导弹系统，用于各个领域。传统的地对空导弹系统在有限的扫描范围和较长的扫描时间内工作，这可能导致低效率的经济和劳动力收益。为了减少扫描时间，已经进行了大量的研究，但这些研究过于复杂或耗费大量的时间。本研究提出了一种简单的高速地对空成像系统，在短时间内提供高分辨率的高质量图像。扫描模块基于单滑块曲柄和滚珠丝杠机构，以提供快速运动和低成本的开发。当系统高速运行时，振动会对图像质量产生负面影响。采用稳定化处理获得高质量图像。在应力分析的基础上，对扫描模块的主要部件进行了优化，并应用简单的数学模型对配重进行了设计。为了验证这些减振方案，使用开发的高速SAM系统对几个样品进行了扫描。获得的图像成功地提供了有用的内部信息，并证明了所开发的高速地对空导弹系统的性能。与其他常规地对空导弹系统相比，高速地对空导弹系统的扫描时间缩短了约77.2%，且扫描范围可接受，显示出其在各个领域的强大应用潜力。

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引用次数: 0

06 February 2023 Kahramanmaraş earthquakes (Mw = 7.8 and 7.6) field observations and preliminary assessment report 2023 年 2 月 6 日卡赫拉曼马拉什地震（Mw = 7.8 和 7.6）实地观测和初步评估报告

IF 5.1 2区工程技术 Q1 ENGINEERING, MULTIDISCIPLINARY

Engineering Science and Technology-An International Journal-Jestech

Pub Date : 2024-11-26 DOI: 10.1016/j.jestch.2024.101898

Şenol Gürsoy, Fatma Büşra Çekim Aydoğan

Türkiye, in Pazarcık and Elbistan districts of Kahramanmaraş, two major earthquakes occurred on 6 February 2023. 11 provinces were directly affected by these earthquakes, and 239,151 buildings were severely damaged or destroyed. In this article, many structural deficiencies and errors, such as the quality of building materials, soft and weak storeys, short column effect, strong beams-weak columns, oversized and heavy overhangs, frame discontinuity, reinforced concrete columns with insufficient stirrup, constructive details, and workmanship errors are observed, and the earthquake regulations requirements are compared. Thus, an overview of the damages observed after earthquakes is provided. The findings revealed that many heavily damaged or collapsed buildings did not meet Türkiye building earthquake code requirements.

2023 年 2 月 6 日，土耳其卡赫拉曼马拉什的帕扎克和埃尔比斯坦地区发生了两次大地震。这两次地震直接波及 11 个省，239 151 栋建筑物严重受损或被毁。本文观察了许多结构缺陷和错误，如建筑材料质量、软弱层、短柱效应、强梁弱柱、过大过重的悬挑、框架不连续性、箍筋不足的钢筋混凝土柱、构造细节和工艺错误，并对抗震法规要求进行了比较。因此，对地震后观察到的损坏情况进行了概述。研究结果表明，许多严重受损或倒塌的建筑物不符合土耳其建筑抗震规范的要求。

引用次数: 0

A comparative study of thermal sprayed Al2O3-TiO2 coatings on PM AISI 316L PM AISI 316L 上热喷涂 Al2O3-TiO2 涂层的比较研究

IF 5.1 2区工程技术 Q1 ENGINEERING, MULTIDISCIPLINARY

Engineering Science and Technology-An International Journal-Jestech

Pub Date : 2024-11-25 DOI: 10.1016/j.jestch.2024.101895

Kenan Tankal , Bekir Güney , Mehmet Akif Erden

The widespread use of stainless steels (SS) in various applications is hindered by their inadequate wear resistance, hardness and high density. Structural metallic components fabricated via powder metallurgy (PM) exhibit lower densities compared to those produced by conventional methods due to their inherent high porosity. However, this compromises their mechanical and corrosion performance. This study has investigated the application of pure Al₂O₃ and Al₂O₃ + 13 %TiO2 powders with varying particle sizes on PM AISI 316L substrates to enhance their mechanical and wear properties. The phase composition, microhardness, coating morphology, surface roughness, porosity and wear rate of coated and uncoated samples were comparatively analysed to elucidate the influence of both TiO₂ addition and coating powder particle size on the mechanical properties and surface morphology of the samples. Microstructural and XRD studies confirmed good mechanical and metallurgical bonding of the coatings to the substrate. All of the coated samples exhibited 24 to 34 times higher surface roughness and 1.3 to 2.1 times lower porosity values compared to the substrate. The finer sized TiO₂ added alumina-based coating powder reduced the surface roughness and porosity value to 1.8 and 1.4 times respectively while the use of the coarser sized one reduced these values to 1.3 and 1.2 times respectively compared to the pure Al₂O₃ coated surface. 8-times higher hardness and 70-times lower wear rate values compared to the substrate were the most significant improvements observed in the pure Al₂O₃ coated surface among all coated samples. Although TiO₂ addition to the coating powder decreased hardness by 1.1 times and increased wear rate by 1.8 times, spraying finer TiO₂ added coating powders resulted in a slight improvement in both hardness and wear resistance compared to the coarser one.

不锈钢（SS）的耐磨性、硬度和高密度不足，阻碍了其在各种应用中的广泛使用。与传统方法相比，通过粉末冶金（PM）制造的结构性金属部件由于其固有的高孔隙率而表现出较低的密度。然而，这也影响了它们的机械和腐蚀性能。本研究调查了不同粒度的纯 Al2O3 和 Al2O3 + 13 %TiO2 粉末在粉末冶金 AISI 316L 基材上的应用，以提高其机械和磨损性能。对涂层和未涂层样品的相组成、显微硬度、涂层形貌、表面粗糙度、孔隙率和磨损率进行了比较分析，以阐明 TiO2 添加量和涂层粉末粒度对样品机械性能和表面形貌的影响。微观结构和 XRD 研究证实了涂层与基体之间良好的机械和冶金结合。与基底相比，所有涂层样品的表面粗糙度提高了 24 至 34 倍，孔隙率降低了 1.3 至 2.1 倍。与纯 Al2O3 涂层表面相比，添加了氧化铝的较细二氧化钛涂层粉末将表面粗糙度和气孔率值分别降低到 1.8 倍和 1.4 倍，而使用较粗的涂层粉末则将这些值分别降低到 1.3 倍和 1.2 倍。与基底相比，纯 Al2O3 涂层表面的硬度提高了 8 倍，磨损率降低了 70 倍，这是在所有涂层样品中观察到的最显著的改进。虽然在涂层粉末中添加 TiO2 会使硬度降低 1.1 倍，磨损率增加 1.8 倍，但与较粗的涂层粉末相比，喷涂较细的添加 TiO2 的涂层粉末会使硬度和耐磨性略有提高。

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引用次数: 0

LightYOLO: Lightweight model based on YOLOv8n for defect detection of ultrasonically welded wire terminations LightYOLO：基于 YOLOv8n 的轻量级模型，用于超声波焊接电线终端的缺陷检测

IF 5.1 2区工程技术 Q1 ENGINEERING, MULTIDISCIPLINARY

Engineering Science and Technology-An International Journal-Jestech

Pub Date : 2024-11-22 DOI: 10.1016/j.jestch.2024.101896

Jianshu Xu , Lun Zhao , Yu Ren , Zhigang Li , Zeshan Abbas , Lan Zhang , Md Shafiqul Islam

Defect inspection of the surface in ultrasonically welded wire terminations is an important inspection procedure to ensure welding quality. However, the detection task of ultrasonic welding defects based on deep learning still faces the challenges of low detection accuracy and slow inference speed. Therefore, to solve the above problems, we propose a fast and effective lightweight detection model based on You Only Look Once v8 (YOLOv8n), named LightYOLO. Specifically, first, to achieve fast feature extraction, a Two-Convolution module with FasterNet block and Efficient multi-scale attention (CTFE) structures is introduced in the backbone network. Secondly, Group-Shuffle Convolution (GSConv) is used to construct the feature fusion structure of the neck, which enhances the fusion efficiency of multi-level features. Finally, an auxiliary head training method is introduced to extract shallow details of the network. To verify the effectiveness of the proposed method, we constructed a surface defect data set of ultrasonic welding wire terminals and conducted a series of experiments. The results of experiments show that the precision of LightYOLO is 93.4%, which is 3.5% higher than YOLOv8n(89.9%). In addition, the model size was reduced to 1/2 of the baseline model. LightYOLO shows the potential for rapid detection on edge computing devices. The source code and dataset for our project is accessible at https://github.com/JianshuXu/LightYOLO.

超声波焊接焊丝终端表面的缺陷检测是确保焊接质量的重要检测程序。然而，基于深度学习的超声波焊接缺陷检测任务仍然面临着检测精度低、推理速度慢的挑战。因此，为了解决上述问题，我们提出了一种基于 You Only Look Once v8（YOLOv8n）的快速有效的轻量级检测模型，命名为 LightYOLO。具体来说，首先，为了实现快速特征提取，我们在骨干网络中引入了具有 FasterNet block 和 Efficient multi-scale attention (CTFE) 结构的 Two-Convolution 模块。其次，利用组卷积（GSConv）构建颈部特征融合结构，提高了多级特征的融合效率。最后，引入辅助头部训练方法，提取网络的浅层细节。为了验证所提方法的有效性，我们构建了超声波焊丝端子表面缺陷数据集，并进行了一系列实验。实验结果表明，LightYOLO 的精度为 93.4%，比 YOLOv8n（89.9%）高出 3.5%。此外，模型大小减少到基线模型的 1/2。LightYOLO显示了在边缘计算设备上进行快速检测的潜力。我们项目的源代码和数据集可在 https://github.com/JianshuXu/LightYOLO 上查阅。

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引用次数: 0

Prediction and optimization of electrical resistivity and unconfined compressive strength of cement-treated subgrade soil using I-optimal response surface methodology 利用 I-优化响应面方法预测和优化水泥处理过的基层土壤的电阻率和无压抗压强度

IF 5.1 2区工程技术 Q1 ENGINEERING, MULTIDISCIPLINARY

Engineering Science and Technology-An International Journal-Jestech

Pub Date : 2024-11-22 DOI: 10.1016/j.jestch.2024.101878

Frank Siaw Ackah , Richmond Owusu , Yuanjie Xiao , Joseph Ali

This paper addressed the challenge of effectively evaluating and controlling the compaction quality of cement-stabilized subgrade soil during construction. It proposed using soil electrical resistivity as a geophysical technique to assess soil properties, alongside statistical analysis and optimization methods. Through I-optimal response surface methodology, the study modeled and optimized relationships between key soil properties and electrical resistivity. Statistical tools enhanced understanding of the interplay between soil electrical resistivity and unconfined compressive strength. Microscopic analysis revealed cation exchange and pozzolanic reactions contributing to soil stabilization. The desirability function was employed for multi-objective optimization, determining optimal values for electrical resistivity and unconfined compressive strength. Overall, the research provides a practical approach for deploying soil electrical resistivity systems in compaction quality control, potentially improving the efficiency and effectiveness of subgrade construction processes.

本文探讨了如何在施工过程中有效评估和控制水泥稳定基层土壤的压实质量。它建议使用土壤电阻率作为一种地球物理技术来评估土壤特性，同时使用统计分析和优化方法。通过 I-optimal 响应面方法，该研究对关键土壤特性和电阻率之间的关系进行了建模和优化。统计工具增强了对土壤电阻率和无约束抗压强度之间相互作用的理解。显微分析表明，阳离子交换和胶凝反应有助于稳定土壤。在多目标优化中使用了可取函数，确定了电阻率和无压抗压强度的最佳值。总之，这项研究为在压实质量控制中部署土壤电阻率系统提供了一种实用方法，有可能提高基层施工过程的效率和效果。

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引用次数: 0

Application of pre-magnetic separation to address grinding classification density effects and enhance iron-copper separation in deep polymetallic magnetite ores 应用预磁选技术解决磨矿分级密度效应，提高深层多金属磁铁矿的铁铜分离效果

IF 5.1 2区工程技术 Q1 ENGINEERING, MULTIDISCIPLINARY

Engineering Science and Technology-An International Journal-Jestech

Pub Date : 2024-11-21 DOI: 10.1016/j.jestch.2024.101912

Shiteng Qin , Sheng Dou , Yang Hu , Shijie Ma , Fulai Lai , Chuan Zhang , Chong Shen , Hongyu Zhao

This study investigates the challenges faced in the grinding and classification process of a polymetallic magnetite ore from Anhui, particularly focusing on low classification efficiency, significant over-grinding, and decreased metal recovery rates. By analyzing the mineralogical properties of the ore, specifically mineral composition, intergrowth relationships, intergrowth particle size, and liberation degree, with an emphasis on magnetite, chalcopyrite, cobalt minerals, and precious metal minerals, this research aims to identify the underlying causes of these issues. Subsequent single-factor experiments were conducted to assess the effects of magnetic field strength and grinding parameters on the enrichment of magnetite and chalcopyrite. Under optimal processing conditions, with a magnetizing current of 0.25 A and a grinding fineness of 65% passing through a 200-mesh sieve, the application of butyl xanthate as a collector during mixed rough flotation achieved a copper recovery rate of 89.54%. Building on these findings, the study further discusses the impact of various process flow optimizations on grinding, classification operations, and the recovery of target minerals. Additionally, it evaluates the advantages and disadvantages of different processing methods in practical applications and ultimately proposes a suitable mineral processing flow for intermediate to deep ore deposits.

本研究调查了安徽一种多金属磁铁矿在磨矿和分级过程中面临的挑战，特别是分级效率低、过磨严重和金属回收率降低等问题。通过分析矿石的矿物学特性，特别是矿物成分、互生关系、互生粒度和解离度，重点是磁铁矿、黄铜矿、钴矿物和贵金属矿物，该研究旨在找出造成这些问题的根本原因。随后进行了单因素实验，以评估磁场强度和研磨参数对磁铁矿和黄铜矿富集的影响。在最佳处理条件下，磁化电流为 0.25 A，磨矿细度为 65%，通过 200 目筛，在混合粗浮选过程中使用黄原酸丁酯作为捕收剂，铜回收率达到 89.54%。在这些发现的基础上，研究进一步讨论了各种工艺流程优化对磨矿、分级操作和目标矿物回收的影响。此外，研究还评估了不同选矿方法在实际应用中的优缺点，并最终提出了适合中深层矿床的选矿流程。

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