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Influence of university campus spatial morphology on outdoor thermal environment: A case study from Eastern China

Energy and Built Environment 2025年第1期6卷 43-56页

作者： Qi, Yansu Chen, Lan Xu, Jiuzhe Liu, Chao Gao, Weijun Miao, Sheng Innovation Institute for Sustainable Maritime Architecture Research and Technology Qingdao University of Technology Qingdao266033 China Faculty of Environmental Engineering The University of Kitakyushu Kitakyushu808-0135 Japan School of Environmental and Municipal Engineering Qingdao University of Technology Qingdao266033 China School of Information and Control Engineering Qingdao University of Technology Qingdao266033 China

Outdoor thermal comfort is crucial for creating sustainable and livable urban spaces. Studying the distribution and impact factors of the thermal environment can provide theoretical support for improving the thermal environment and spatial planning. This study investigates the influence of well-defined boundary spaces on outdoor thermal comfort and proposes design measures to improve spatial thermal comfort. High-resolution data obtained from unmanned aerial vehicles (UAVs) is integrated into outdoor microclimate simulations to enhance the accuracy and precision of the models. The Physiological Equivalent Temperature (PET) index is employed as an evaluation indicator, considering the categorization of PET values into different comfort levels. Additionally, the axial evaluation method is introduced to assess thermal comfort more accurately, reflecting the perceived thermal comfort by individuals. Through a case study in a mixed-use and clear boundary area, the research identifies the variables that influence outdoor thermal comfort and provides design guidelines to enhance spatial thermal comfort. The correlations between the spatial morphology index and PET were analyzed by multiple regression. The findings contribute to the understanding of outdoor thermal comfort in complex urban environments and offer valuable insights for the design and planning of comfortable and sustainable outdoor spaces. © 2023

关键词： Thermal comfort

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YOLOv8n-CGW: A novel approach to multi-oriented vehicle detection in intelligent transportation systems

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Multimedia Tools and Applications 2025年第7期84卷 3809-3840页

作者： Berwo, Michael Abebe Fang, Yong Sarwar, Nadeem Mahmood, Jabar Aljohani, Mansourah Elhosseini, Mostafa School of Information and Engineering Chang’an University Shaanxi Xi’an710064 China Department of Computer Science Bahria University Lahore Campus Punjab Lahore54600 Pakistan Department of Information Technology Faculty of Computing and Information Technology University of Sialkot Punjab Sialkot51040 Pakistan College of Computer Science and Engineering Taibah University Yanbu46421 Saudi Arabia Computers and Control Systems Engineering Department Faculty of Engineering Mansoura University Mansoura35516 Egypt

In the context of Intelligent Transportation Systems (ITS), the role of vehicle detection and classification is indispensable for streamlining transportation management, refining traffic control, and conducting in-depth accident analyses. However, the intricate task of accurately detecting multi-oriented vehicles in diverse scenarios remains a challenge, even with the advancements in ITS. Factors such as vehicle morphology, design, road conditions, structural details, and climatic variables provide a significant part in the detection. To address this, our study introduces an advanced YOLOv8n model, specifically the YOLOv8n-CGW, which is built upon pre-trained deep learning frameworks. This model is meticulously tailored to enhance the detection capabilities for multi-oriented vehicles. Comprehensive evaluations on esteemed datasets like MtV, MERGED, Custom dataset, DAWN, WEDGE, and UA-DETRAC underscore the superiority of our approach over existing models. Notably, our YOLOv8n-CGW model achieves a remarkable mAP of 83.3% and boasts a swift inference time of 0.0019s, setting a new benchmark in the domain. © The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2024.

关键词： Deep neural networks

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Determination of quantum toric error correction code threshold using convolutional neural network decoders

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Chinese Physics B 2022年第1期31卷 136-142页

作者： Hao-Wen Wang Yun-Jia Xue Yu-Lin Ma Nan Hua Hong-Yang Ma School of Sciences Qingdao University of TechnologyQingdao 266033China School of Information and Control Engineering Qingdao University of TechnologyQingdao 266033China

Quantum error correction technology is an important solution to solve the noise interference generated during the operation of quantum *** order to find the best syndrome of the stabilizer code in quantum error correction,we need to find a fast and close to the optimal threshold *** this work,we build a convolutional neural network(CNN)decoder to correct errors in the toric code based on the system research of machine *** analyze and optimize various conditions that affect CNN,and use the RestNet network architecture to reduce the running *** is shortened by 30%-40%,and we finally design an optimized algorithm for CNN *** this way,the threshold accuracy of the neural network decoder is made to reach 10.8%,which is closer to the optimal threshold of about 11%.The previous threshold of 8.9%-10.3%has been slightly improved,and there is no need to verify the basic noise.

关键词： quantum error correction toric code convolutional neural network(CNN)decoder

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A high performance stacked band-pass filter with frequency doubling suppression

A high performance stacked band-pass filter with frequency d...

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2024 International Applied Computational Electromagnetics Society Symposium, ACES-China 2024

作者： Wu, Wenhan Xu, Ruofeng Wang, Jun Zhao, Lei Hu, Yunze Pan, Guoqing China University of Mining and Technology School of Information and Control Engineering Xuzhou China Beijing Aerospace Measurement and Control Technology Co. Ltd Beijing China

ISBN: (纸本)9798350355581

In this paper, a high performance stacked bandpass filter based on frequency doubling suppression is proposed. The proposed filter consists of an interdigital structure and a stepped impedance resonator (SIR). The two structures are combined in a laminated manner and connected by vertical metal vias. The filter has compact size, excellent passband performance and wide stopband. The proposed miniaturized bandpass filter is expected to be applied in modern communication systems. © 2024 IEEE.

关键词： Bandpass filters

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Time-Varying Formation Tracking control of Heterogeneous Multi-Agent Systems With Intermittent Communications and Directed Switching Networks

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IEEE/CAA Journal of Automatica Sinica 2025年第1期12卷 294-296页

作者： Yuhan Wang Zhuping Wang Hao Zhang Huaicheng Yan the Shanghai Research Institute for Intelligent Autonomous Systems Tongji University the National Key Laboratory of Autonomous Intelligent Unmanned Systems the Frontiers Science Center for Intelligent Autonomous System of Ministry of Education the College of Electronic and Information Engineering the Department of Control Science and Engineering Tongji University the Key Laboratory of Advanced Control and Optimization for Chemical Processes of Ministry of Education the School of Information Science and Engineering East China University of Science and Technology

Dear Editor,This letter is concerned with the problem of time-varying formation tracking for heterogeneous multi-agent systems(MASs) under directed switching networks. For this purpose, our first step is to present so... 详细信息

关键词： Switches Topology Observers Formation control Event detection Switched systems Multi-agent systems control theory Autonomous systems Stability

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Robust Aerodynamic Parameter Estimation of Unmanned Aircraft Based on Two-step Identification

Periodica polytechnica Electrical engineering and computer s...

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Periodica polytechnica Electrical engineering and computer science 2023年第4期67卷 394-402页

作者： Kimathi, Stephen Lantos, Bela Department of Control Engineering and Information Technology Faculty of Electrical Engineering and Informatics Budapest University of Technology and Economics Magyar tudósok krt. 2. BudapestH-1117 Hungary

This paper presents the estimation of stability and control derivatives of an unmanned aircraft. The aerodynamics are described using regressors composed of velocity, angular rates, flow angles and control surface deflections. The flight data is generated from numerical simulation of postulated equations of motion describing the aerodynamics model. Least squares based on the equation error method is used to estimate the parameters representing the different force and moment aerodynamic coefficients. Statistical analysis is done on the estimates to determine the accuracy and adequacy of the estimates to describe the aerodynamic model. A dynamic simulation based on the identified aerodynamic model is used to improve the parameter estimates through regression of the errors between the flight data and the model response. The aircraft under consideration is a scaled Yak-54 fixed wing unmanned aerial vehicle. © 2023 Budapest University of technology and Economics. All rights reserved.

关键词： Fixed wings

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TIPS:Tailored information Extraction in Public Security Using Domain-Enhanced Large Language Model

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Computers, Materials & Continua 2025年第5期83卷 2555-2572页

作者： Yue Liu Qinglang Guo Chunyao Yang Yong Liao School of Cyber Science and Technology University of Science and Technology of ChinaHefei230026China National Engineering Research Center for Public Safety Risk Perception and Control by Big Data China Academy of Electronics and Information TechnologyBeijing100041China

Processing police incident data in public security involves complex natural language processing(NLP)tasks,including information *** data contains extensive entity information—such as people,locations,and events—while also involving reasoning tasks like personnel classification,relationship judgment,and implicit ***,utilizing models for extracting information from police incident data poses a significant challenge—data scarcity,which limits the effectiveness of traditional rule-based and machine-learning *** address these,we propose *** collaboration with public security experts,we used de-identified police incident data to create templates that enable large language models(LLMs)to populate data slots and generate simulated data,enhancing data density and *** then designed schemas to efficiently manage complex extraction and reasoning tasks,constructing a high-quality dataset and fine-tuning multiple open-source *** showed that the fine-tuned ChatGLM-4-9B model achieved an F1 score of 87.14%,nearly 30%higher than the base model,significantly reducing error *** corrections further improved performance by 9.39%.This study demonstrates that combining largescale pre-trained models with limited high-quality domain-specific data can greatly enhance information extraction in low-resource environments,offering a new approach for intelligent public security applications.

关键词： Public security information extraction large language model prompt engineering

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Design of Belt No-load Detection System Based on Image Processing technology

IAENG International Journal of Computer Science

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IAENG International Journal of Computer Science 2024年第11期51卷 1731-1739页

作者： Sun, Jiali Xu, Shaochuan Liu, Dehua He, Jing School of Electronic Information University of Science and Technology Liaoning Anshan114051 China School of Control Science and Engineering University of Science and Technology Liaoning Anshan114051 China Anshan Liaoning University of Science and Technology 114051 China

Belts are mainly used for transporting coal. During the conveying process, the belt may be idling. Manual inspections not only lead to reduced efficiency, but also pose safety hazards. As a result, it is proposed a belt no-load monitoring system based on the improved algorithm of support vector machine. The belt is used for on-site monitoring of belt idling problems. An initial image of the belt is acquired by a camera unit and the image is preprocessed. According to the belt images of different working conditions, feature selection is performed for images affected by external light sources, belt surface trace features and ore state distribution. Then support vector machine models using different kernel functions are constructed to classify the belts. Therefore, the belt no-load detection method proposed in this paper can to a certain extent solve the problem that artificial cannot monitor the belt status in real time and timely warning. This method reduces the chance of belt conveyor failures and makes the belt work more efficiently. © (2024), (International Association of Engineers). All rights reserved.

关键词： Belt conveyors

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Asymmetric network pseudo labels mutual refinement for unsupervised domain adaptation person re-identification

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Multimedia Tools and Applications 2024年第40期83卷 88091-88111页

作者： Yun, Xiao Chen, Jiawang Zhang, Xiaoguang Dong, Kaiwen Li, Song Sun, Yanjing School of Information and Control Engineering China University of Mining and Technology Xuzhou221116 China Xi’an Key Laboratory of Heterogeneous Network Convergence Communication Xi’an710054 China

In the task of unsupervised domain adaptation person re-identification, the traditional symmetric dual-branch network only generates one single feature, which ignores the difference and complementarity of the network and is prone to produce wrong cluster results. To solve this problem, the asymmetric network pseudo labels mutual refinement (ANPR) algorithm is proposed to design an asymmetric network (ASNet), containing diverse features for mutual supervision. One branch of ASNet employs convolutional operations with constrained receptive fields to extract local information, and the other branch uses the contextual transformer block to capture global features. Secondly, this paper constructs the pseudo labels mutual refinement (PMR) module, which generates two sets of clustering results using global and local potential features of unlabeled samples. PMR suppresses the inconsistent clustering results and retains the consistent ones, which gradually improves the quality of pseudo labels for dual-brach mutual supervision. In addition, the feature space loss (FSL) function is designed to focus on the relative distance of samples in the feature layer without relying on the pseudo labels in the task layer, which effectively avoids the influence of noisy pseudo labels in the optimization process. The proposed method is evaluated on three popular datasets, and extensive experimental results demonstrate its effectiveness. © The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2024.

关键词： Clustering algorithms

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A REVIEW OF PAVEMENT DEFECT DETECTION BASED ON VISUAL PERCEPTION

International Journal of Mechatronics and Applied Mechanics

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International Journal of Mechatronics and Applied Mechanics 2024年第17期2024卷 131-146页

作者： Yang, Chenchen Yang, Li Duan, Hailong Deng, Jingwei School of Automation and Electrical Engineering Tianjin University of Technology and Education Tianjin300222 China Tianjin Key Laboratory of Information Sensing and Intelligent Control Tianjin300222 China

The inspection of roads for defects, as basic transportation infrastructure, is critical to maintain the efficient and safe operation of the transportation system. Visual perception-based pavement defect detection methods can efficiently and accurately identify pavement issues and provide data support for intelligent preventive maintenance. This paper summarizes the development of pavement defect detection technology, from feature extraction to automatic feature extraction. Deep learning-based pavement defect detection methods are analyzed and compared in three aspects: classification, object detection, and segmentation. By integrating recent research methods, the paper further reviews innovative approaches to pavement defect detection modeling in four areas: information flow models, Transformer models, attention mechanisms, and the application of 3D technology. Additionally, various defect types, pavement defect datasets, and defect detection systems are introduced. Finally, the paper provides an outlook on future trends and summarizes the key findings. © 2024, Cefin Publishing House. All rights reserved.

关键词： Preventive maintenance

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