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5th International Seminar on Artificial Intelligence, Networking and information technology, AINIT 2024

作者： Si, Haoyue Xie, Xinlin Duan, Zeyun Wang, Quanyi School of Electronic and Information Engineering Taiyuan University of Science and Technology Taiyuan China

ISBN: (纸本)9798350385557

Focus on the low computational efficiency of semantic segmentation in traffic scenes, large number of model parameters, and loss of information for small objects, a lightweight attention fusion dual-branch feature network for semantic segmentation is proposed. First, we propose a lightweight convolution-based asymmetric residual module to extract multi-scale information from different receptive fields while decreasing computational and parametric quantities. Secondly, we propose spatial detail extraction modules using shallow wide structures that establish local dependencies for each pixel to preserve detail information. Finally, a lightweight feature fusion module with a bilateral pooling attention strategy is proposed to enhance semantic consistency between different branch features in channel and space dimensions. Experimental results show that the proposed method achieves an accuracy of 77.20% mean IoU at the number of model parameters of 3.04M on Cityscapes data sets. The proposed method demonstrated robustness for small objects and object edges in traffic scene images. © 2024 IEEE.

关键词： Semantic Segmentation

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Hybrid Energy Storage Control for Photovoltaic Microgrids Based on Improved Dung Beetle Optimization Algorithm 4

Hybrid Energy Storage Control for Photovoltaic Microgrids Ba...

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4th International Conference on Energy engineering and Power Systems, EEPS 2024

作者： Jiao, Guoqi Yu, Shaojuan Liu, Liqun School of electronic information engineering Taiyuan University of Science and Technology Taiyuan China

ISBN: (纸本)9798350366914

In photovoitaic DC micro grid the imbalance between photovoitaic output power and load consumption power will trigger the problem of power fluctuation, the PI controller in the traditional frequency division control operates in a fixed mode and unchanging parameters can not accurately regulate the fluctuating power of the dynamically changing, to address the problem, a hybrid energy storage control strategy based on the improved dung-beetle algorithm is proposed. Firstly, the population is initialized and optimized, then the sinusoidal algorithm is introduced during the position update process, and the parameters of the PI controller in the crossover control strategy are optimized using the improved dung beetle algorithm. The improved dung beetle algorithm control is verified by MATLAB/Simulink simulation and experimental validation that the fluctuating power can be allocated efficiently in all cases. © 2024 IEEE.

关键词： Hybrid power

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Measurement of Robotic Arm Joint Angles Based on Marker Point Position 4

Measurement of Robotic Arm Joint Angles Based on Marker Poin...

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4th International Conference on electronic information engineering and Computer science, EIECS 2024

作者： Fan, Xinran Zhu, Yifeng School of Electronic Information Engineering Changchun University of Science and Technology Changchun China

ISBN: (纸本)9798331531409

Aiming at the current problem that the accurate measurement method of the joint angle of the robotic arm relies on the known position and attitude of the end of the robotic arm and the structural dimensions of the robotic arm, a method of measuring the joint angle of the robotic arm based on the position of the marker points is proposed. The method uses a binocular photogrammetric system to obtain the position data of the co-operative targeting ring assembled on each joint surface of the robotic arm and affixed with marking points, and further calculates the joint angles of the robotic arm by geometrical methods using the attitude data in the position data. The experimental results show that the measurement method can effectively measure the angle of each joint of the robotic arm, and the average relative error of the measurement is 0.13627%, with small measurement repeatability error and high measurement accuracy. © 2024 IEEE.

关键词： Photogrammetry

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Semi-Supervised Semantic Segmentation in Remote Sensing Images Using Active Learning and Deep Global Second Order Pooling Network 20

Semi-Supervised Semantic Segmentation in Remote Sensing Imag...

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20th International Computer Conference on Wavelet Active Media technology and information Processing, ICCWAMTIP 2023

作者： Sarpong, Kwabena Qin, Zhinguang Addo, Daniel Patamia, Rutherford Agbesi Ekong, Favour Khamis, Asha Mzee School of Information and Software Engineering University of Electronic Science and Technology of China Sichuan Chengdu610054 China

ISBN: (纸本)9798350318982

Training convolutional neural networks (CNNs) for semi-semantic segmentation in remote sensing images is difficult due to the substantial amount of labelled data required. The scarcity of dense pixel-level annotations hampers the model's ability to extract meaningful information from the images. We propose a novel semi-supervised semantic segmentation network called 3S-Net, designed explicitly for high-resolution remote sensing imagery to overcome this challenge. This network leverages a limited number of labelled examples and many unlabeled examples to generate pseudo-labels, expanding the labelled training set. The Deep Global Second-Order Pooling Network (DG2oPN) is employed to learn discriminative and representative features from the entire image information throughout the network. Our approach involves two main steps: First, an active learning-based sampling strategy is utilized to select a representative set of labelled data. Secondly, we introduce the 3S-Net, which learns from limited annotated data and effectively leverages unlabeled images by utilizing the second-order statistics of the entire image. Experimental results on two public remote sensing datasets demonstrate that our semi-supervised semantic model efficiently and effectively addresses the issue of limited labelled samples, outperforming other state-of-the-art methods. © 2023 IEEE.

关键词： Semantic Segmentation

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Tibetan Few-Shot Learning Model Based on Matching Networks

Tibetan Few-Shot Learning Model Based on Matching Networks

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2023 International Conference on Neuromorphic Computing, ICNC 2023

作者： Zhang, Ziyue Xiong, Gaojie Yu, Yongbin Wang, Xiangxiang Feng, Xiao Tashi, Nyima University of Electronic Science and Technology of China School of Information and Software Engineering Chengdu610054 China Tibet University School of Information Science and Technology Lhasa850000 China

ISBN: (纸本)9798350316889

This paper highlights the low-resource Tibetan few-shot learning model and establishes accuracy benchmarks utilizing Matching Networks (MN). Addressing the issues of low quality and limited usability in the existing Tibetan-Chinese parallel corpus, this paper constructs a small-scale and high-quality Tibetan-Chinese parallel corpus containing 110,000 sentence pairs using data filtering, deduplication, deletion of blank lines, and special symbol processing. Based on full context embeddings, Softmax-based attention mechanisms, and similarity metrics, the Tibetan few-shot learning model based on MN is proposed to help the model learn logical Tibetan knowledge rapidly from few-shot data. Different distance metrics on Cosine, Euclidean, Poincare, and Minkowski distances are used to test the accuracy of the Tibetan k-shot learning model, which provides a unified and reliable benchmark for the Tibetan few-shot learning tasks. This research provides substantial assistance in solving the issues of machine learning performing poorly in low-resource settings. The experiment results demonstrate that the accuracy of all metrics is improved with the number of shots increased, and Euclidean distance performs well in 5-way 1-shot learning, cosine performs well in 5-way 2-shot learning, and Minkowski distance (mathrmp=3) shows excellent accuracy in 5-way 3-shot learning. Notably, we used our own Tibetan data set and succeeded in enhancing accuracy by a noteworthy 1.6% in a 5-way 3-shot setup. © 2023 IEEE.

关键词： Machine learning

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Enhancement of charging performance of quantum battery via quantum coherence of bath

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Chinese Physics B 2023年第1期32卷 161-171页

作者：于文莉张允李海魏广芬韩丽萍田峰邹建 School of Computer Science and Technology Shandong Technology and Business UniversityYantai 264005China School of Information and Electronic Engineering Shandong Technology and Business UniversityYantai 264005China School of Science Tianjin University of TechnologyTianjin 300384China School of Physics Beijing Institute of TechnologyBeijing 100081China

An open quantum battery(QB)model of a single qubit system charging in a coherent auxiliary bath(CAB)consisting of a series of independent coherent ancillae is *** to the collision charging protocol we derive a quantum master equation and obtain the analytical solution of QB in a steady *** find that the full charging capacity(or the maximal extractable work(MEW))of QB,in the weak QB-ancilla coupling limit,is positively correlated with the coherence magnitude of *** with the numerical simulations we compare with the charging properties of QB at finite coupling strength,such as the MEW,average charging power and the charging efficiency,when considering the bath to be a thermal auxiliary bath(TAB)and a CAB,*** find that when the QB with CAB,in the weak coupling regime,is in fully charging,both its capacity and charging efficiency can go beyond its classical counterpart,and they increase with the increase of coherence magnitude of *** addition,the MEW of QB in the regime of relative strong coupling and strong coherent magnitude shows the oscillatory behavior with the charging time increasing,and the first peak value can even be larger than the full charging MEW of *** also leads to a much larger average charging power than that of QB with TAB in a short-time charging *** features suggest that with the help of quantum coherence of CAB it becomes feasible to switch the charging schemes between the long-time slow charging protocol with large capacity and high efficiency and the short-time rapid charging protocol with highly charging power only by adjusting the coupling strength of *** work clearly demonstrates that the quantum coherence of bath can not only serve as the role of“fuel”of QB to be utilized to improve the QB's charging performance but also provide an alternative way to integrate the different charging protocols into a single QB.

关键词： quantum battery quantum coherence maximal extractable work charging power

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CAAF: An NDN-Based Cache-Aware Adaptive Forwarding Strategy for Reliable Content Delivery in VANETs

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IEEE Transactions on Mobile Computing 2025年第7期24卷 6361-6375页

作者： Wang, Haodong Han, Jiangping Xue, Kaiping Yang, Jiayu Li, Jian Sun, Qibin Lu, Jun Pengcheng Laboratory Guangdong Shenzhen518000 China University of Science and Technology of China Department of Electronic Engineering and Information Science Anhui Hefei230027 China University of Science and Technology of China School of Cyber Science and Technology Anhui Hefei230027 China

The high mobility in Vehicular Ad-hoc Networks (VANETs) significantly affects the reliability of data transmission. To solve this problem, Named Data Networking (NDN)-based VANETs are proposed, utilizing in-network caching and named-based forwarding to overcome the dual challenges of mobility and connectivity. Although in-network caching enhances content availability, a strategy that accurately locates and efficiently utilizes the cached content in VANETs with highly dynamic environments is still lacking. In this paper, we propose a novel NDN-based cache-aware adaptive forwarding (CAAF) strategy for VANETs. CAAF proactively predicts content locations and ensures reliable content retrieval by adaptively selecting forwarding nodes that prioritize fast delivery and stable transmission. Specifically, we design a content information table for each vehicle to record information about the Interest packets it receives. Furthermore, these tables are updated periodically across all vehicles and a prediction model is used to predict real-time in-network caching during the update interval. Subsequently, we execute a filter mechanism to sieve candidate forwarding vehicles that satisfy both the accessibility and stability requirements. These candidates are then evaluated using a multi-attribute decision-making method across diverse parameters to determine the optimal forwarding node. Our extensive simulation results demonstrate that the proposed CAAF outperforms the state-of-the-art forwarding strategy regarding content retrieval delay and Interest satisfaction ratio across diverse scenarios. © 2002-2012 IEEE.

关键词： Vehicular ad hoc networks

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User story clustering in agile development:a framework and an empirical study

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Frontiers of Computer science 2023年第6期17卷 43-59页

作者： Bo YANG Xiuyin MA Chunhui WANG Haoran GUO Huai LIU Zhi JIN School of Information Science and Technology Beijing Forestry UniversityBeijing 100083China Engineering Research Center for Forestry Oriented Intelligent Information Processing National Forestry and Grassland AdministrationBeijing 100083China School of Information Science and Technology North China University of TechnologyBeijing 100144China College of Computer Science and Technology Inner Mongolia Normal UniversityHohhot 010020China Department of Computer Science and Software Engineering Swinburne University of TechnologyHawthorn VIC 3122Australia Key Laboratory of High Confidence Software Technologies(Peking University) Ministry of EducationBeijing 100871China Institute of Software School of Computer SciencePeking UniversityBeijing 100871China

Agile development aims at rapidly developing software while embracing the continuous evolution of user requirements along the whole development *** stories are the primary means of requirements collection and elicitation in the agile development.A project can involve a large amount of user stories,which should be clustered into different groups based on their functionality’s similarity for systematic requirements analysis,effective mapping to developed features,and efficient ***,the current user story clustering is mainly conducted in a manual manner,which is time-consuming and subjective to human *** this paper,we propose a novel approach for clustering the user stories automatically on the basis of natural language ***,the sentence patterns of each component in a user story are first analysed and determined such that the critical structure in the representative tasks can be automatically extracted based on the user story *** similarity of user stories is calculated,which can be used to generate the connected graph as the basis of automatic user story *** evaluate the approach based on thirteen datasets,compared against ten baseline *** results show that our clustering approach has higher accuracy,recall rate and F1-score than these *** is demonstrated that the proposed approach can significantly improve the efficacy of user story clustering and thus enhance the overall performance of agile *** study also highlights promising research directions for more accurate requirements elicitation.

关键词： user story agile development user story mapping clustering

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Moving Target Detection Algorithm Based on Improved YOLOv10 4

Moving Target Detection Algorithm Based on Improved YOLOv10

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4th International Conference on electronic information engineering and Computer science, EIECS 2024

作者： Zhao, Shihao Hao, Ziqiang Zhang, Qingbao Wang, Zelong School of Electronic Information Engineering Changchun University of Science and Technology Changchun China

ISBN: (纸本)9798331531409

This paper proposes a moving target detection algorithm based on improved YOLOv 10. Alarge number of target motion videos are shot with high-definition industrial cameras, and then the YOLOv10 model is used to detect moving targets. The coordinate attention mechanism is proposed to improve the original PSA attention mechanism, and a dynamic upsampling strategy is introduced in the neck network. Experiments have shown that this method can accurately identify moving targets in videos and greatly improve the accuracy. © 2024 IEEE.

关键词： Target tracking

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Design of a Nested Observer for Composite Disturbances Based on Characteristic Extraction

Design of a Nested Observer for Composite Disturbances Based...

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2024 China Automation Congress, CAC 2024

作者： Gao, Xudong Wen, Xinyu Dong, Yaling Wang, Zhihao School of Electronic Information Engineering Taiyuan University of Science and Technology Taiyuan China

ISBN: (纸本)9798350368604

To address composite disturbances in the system, this paper proposes a disturbance rejection method. The considered disturbances include both regular and irregular components. First, by extracting the characteristics of the frequency components, a frequency compensation observer(FCO) is designed to fully utilize the disturbance characteristics, processing only the regular disturbances. Next, the remaining irregular components and the errors of the regular disturbances are estimated and compensated using a nonlinear extended state observer (NESO). In the proposed method, the multi-loops are independent of each other, which reduces the computational complexity to a large extend. The two types of observers form a nested structure, handling disturbances more targetedly, making the method more suitable for addressing composite disturbances in the ***, the effectiveness of the proposed method is verified through simulations. © 2024 IEEE.

关键词： Disturbance rejection

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