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4th International Conference on data Intelligence and Security, ICDIS 2022

作者： Du, Xun Tao, Zhenchao Li, Lei School of Computer Science and Information Engineering Hefei University of Technology Hefei China The First Affiliated Hospital University of Science and Technology of China Hefei China Hefei University of Technology Ministry of Education Key Laboratory of Knowledge Engineering with Big Data Hefei China

ISBN: (数字)9781665459686

ISBN: (纸本)9781665459693

As the study of graph pattern matching (GPM) attracts more and more scholars, the research of GPM in the medical field begins to emerge, from protein structure analysis to breast cancer classification diagnosis, and GPM is more and more widely adopted. However, in medical knowledge graphs (MKG), when the pattern graph dynamically changes, to obtain the matching results of the changed pattern graph, the traditional method has to carry out global matching instead of local matching, which causes a waste of resources and takes a lot of time. To quickly return the matching results of the dynamic pattern graph in MKGs, in this paper, we introduce a caching mechanism to cache the previous matching results and propose a new longest common path matching (M-LCPM) algorithm based on multithreading. The algorithm only performs partial matching on the changed pattern graph and can quickly obtain the matching result. Considering that the M-LCPM algorithm cannot get matching results when the pattern graph changes completely and there may be missing matching subgraphs when the M-LCPM algorithm performs matching, we optimize the M-LCPM algorithm and propose the M-LCPM-Enhance algorithm. Experimental results on two data sets show that our dynamic algorithm is more efficient than existing algorithms. © 2022 IEEE.

关键词： graph pattern matching longest common path medical knowledge graphs

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Extracting High-order Connectivity of EEG-based Dynamic Functional Connectivity Networks for Diagnosis of Major Depressive Disorder 24

Extracting High-order Connectivity of EEG-based Dynamic Func...

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4th Asia-Pacific Artificial Intelligence and big data Forum, AIBDF 2024

作者： Zhao, Feng Fan, Wenxuan Han, Zhongwei Chen, Hongyu School of Computer Science and Technology Shandong Technology and Business University Shandong Yantai China Yantai Key Laboratory of Big Data Modeling and Intelligent Computing Shandong Yantai China Immersion Technology and Evaluation Shandong Engineering Research Center Shandong Yantai China Information Engineering College Yantai Institute of Technology Shandong Yantai China Shandong Technology and Business University Shandong Yantai China

ISBN: (纸本)9798400710865

Functional connectivity networks (FCNs), particularly those utilizing the phase lag index (PLI) method, have been instrumental in elucidating the pathological features of Major Depressive Disorder (MDD) by assessing the synchrony and lag of electroencephalogram (EEG) signal waveforms. Currently, the more prevalent methods are traditional FCNs that quantify phase synchronization as scalar values and dynamic FCNs (D-FCNs) that employ sliding window approaches to capture the instantaneous variations in functional connectivity. However, these two methods merely capture the low-level functional connections between paired regions of interest (ROIs) from both the static and dynamic perspectives, and fail to reflect the high-level functional connections involving multiple ROIs. Moreover, the feature dimension of the dynamic FCN is excessively high, and there exists a phase mismatch issue between different samples, which renders it impossible to be directly applied to the classification task, and no better solution is available at present. To mitigate these issues, we proposed a comprehensive framework that includes segmenting EEG sequences based on PLI to construct dynamic FCNs;employing seventh-order central moments for feature extraction to form low-order FCNs (Lo-FCNs);and establishing high-order FCNs (Ho-FCNs) based on Pearson correlation theory derived from Lo-FCNs. We conducted classification experiments across four distinct EEG frequency bands using our proposed framework while analyzing relevant features through graph theory and brain topological mapping techniques. The experiments showed that the proposed framework has a high classification accuracy rate in the classification experiments of MDD and NC, and proved the importance of high-order features in classification experiments, indicating that they may serve as physiological markers for MDD diagnosis. © 2024 Copyright held by the owner/author(s).

关键词： Electroencephalography

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SR-FoT: A Syllogistic-Reasoning Framework of Thought for Large Language Models Tackling knowledge-based Reasoning Tasks

arXiv

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arXiv 2025年

作者： Wan, Wentao Yang, Zhuojie Chen, Yongcan Luo, Chenglin Wang, Ruilin Cai, Kehao Kang, Nan Lin, Liang Wang, Keze School of Computer Science and Engineering Sun Yat-sen University China Guangdong Key Laboratory of Big Data Analysis and Processing China South China Normal University China

Deductive reasoning is a crucial logical capability that assists us in solving complex problems based on existing knowledge. Although augmented by Chain-of-Thought prompts, Large Language Models (LLMs) might not follow the correct reasoning paths. Enhancing the deductive reasoning abilities of LLMs, and leveraging their extensive built-in knowledge for various reasoning tasks, remains an open question. Attempting to mimic the human deductive reasoning paradigm, we propose a multi-stage Syllogistic-Reasoning Framework of Thought (SR-FoT) that enables LLMs to perform syllogistic deductive reasoning to handle complex knowledge-based reasoning tasks. Our SR-FoT begins by interpreting the question and then uses the interpretation and the original question to propose a suitable major premise. It proceeds by generating and answering minor premise questions in two stages to match the minor premises. Finally, it guides LLMs to use the previously generated major and minor premises to perform syllogistic deductive reasoning to derive the answer to the original question. Extensive and thorough experiments on knowledge-based reasoning tasks have demonstrated the effectiveness and advantages of our SR-FoT. Copyright © 2025, The Authors. All rights reserved.

关键词： knowledge based systems

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NucleiFormer: A Nuclei Segmentation Model Optimized by Joint Haar Wavelet and Adaptive Feature Calibration

NucleiFormer: A Nuclei Segmentation Model Optimized by Joint...

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International Conference on Acoustics, Speech, and Signal Processing (ICASSP)

作者： Yulin Chen Qian Huang Zhijian Wang Ziyang Yin Meng Geng Key Laboratory of Water Big Data Technology of Ministry of Water Resources Hohai University Nanjing China College of Computer Science and Software Engineering Hohai University Nanjing China

ISBN: (数字)9798350368741

ISBN: (纸本)9798350368758

Nucleus segmentation plays a vital role in medical image analysis. However, existing segmentation methods frequently encounter hurdles, such as the loss of crucial image details during downsampling and issues like noise and spatial displacement. In this study, we propose NucleiFormer, where Haar wavelet transforms are employed in the encoder to replace conventional downsampling techniques. Additionally, we utilize an adaptive feature calibration module to align and calibrate features of different scales, reduce feature redundancy, suppress noise, and enhance the spatial awareness of the model. Extensive experiments validate our model’s superior segmentation performance in accurately delineating nucleus boundaries and minimizing errors.

关键词： Wavelet transforms Adaptation models Image segmentation Image analysis Noise Termination of employment Calibration Speech processing Optimization Biomedical imaging

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PRM: Pose Recalibration Module for Action Recognition

PRM: Pose Recalibration Module for Action Recognition

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International Conference on Image, Vision and Intelligent Systems, ICIVIS 2021

作者： Tian, Guixiong Yi, Yang Meng, Zijian Li, Zhonghong Song, Jialun School of Computer Science and Engineering Sun Yat-Sen University Guangzhou China Guangzhou Xinhua University Guangzhou China Guangdong Province Key Laboratory of Big Data Analysis and Processing Guangzhou China

ISBN: (纸本)9789811669620

Two-stream convolutional network is the mainstream method of human action recognition, which can achieve excellent recognition precision in most datasets. However, the challenge of two-stream convolutional network is that it can not model human action well. To tackle this issue, this paper proposes Pose Recalibration Module (PRM) to better model human action features. The proposed PRM is composed of three components: (1) Part Affinity Fields pose estimator Module to explicitly capture human actions and generate human joint heatmap, (2) Multi-scale Action Extraction Module to construct different scales of joint heatmap sequence at different time intervals, and (3) Action Classification Module to classify action. Finally, this paper arranges late fusion strategy to fuse pose modalities and the two-stream network to obtain the final classification score. Experimental results on UCF101 and HMDB51 show that our approach can boost the performance of two-stream network. Meanwhile, our method obtains a competitive performance compared with state-of-the-art methods. © 2022, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： Convolution

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Neural Adaptive Dynamic Surface Control of PMSMs with Input Saturation and output constraint

Neural Adaptive Dynamic Surface Control of PMSMs with Input ...

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2022 Chinese Automation Congress, CAC 2022

作者： Lv, Dongchao Li, Shaobo Zhang, Tao Wu, Fengbin Li, Menghan Zheng, Chaojie Guizhou University School of Mechanical Engineering Guiyang China Guizhou University State Key Laboratory Of Public Big Data Guiyang China Guizhou University School of Computer Science and Technology Guiyang China

ISBN: (纸本)9781665465335

This paper discusses an adaptive neural tracking control of permanent magnet synchronous motors subject to input saturation and output constraint. The difficulty is to consider output constraints and input saturation. Firstly, the adaptive dynamic surface control design process is systematized by embedding many existing tools into the classical backstepping framework. Then, a nonlinear transformation function is proposed to transform the output constrained system into an unconstrained system. Furthermore, using radial basis function neural networks to Process the unknown terms, the Gaussian error function is utilized to describe the continuously differentiable asymmetric saturation nonlinearity. It turns out that all signals in the proposed scheme are bounded. The simulation results are provided to further show the feasibility of the proposed method. © 2022 IEEE.

关键词： Backstepping

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Multiuser Communication Aided by Movable Antenna 24

Multiuser Communication Aided by Movable Antenna

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24th IEEE International Workshop on Signal Processing Advances in Wireless Communications, SPAWC 2023

作者： Zhu, Lipeng Ma, Wenyan Ning, Boyu Zhang, Rui University of Electronic Science and Technology of China National Key Laboratory of Science and Technology on Communications 611731 China The Chinese University of HongKong Shenzhen Research Institute of Big Data Shenzhen518172 China National University of Singapore Department of Electrical and Computer Engineering Singapore117583 Singapore

ISBN: (纸本)9781665496261

This paper investigates the multiuser communication aided by movable antenna (MA) via antenna position optimization, where the uplink transmission from multiple user terminals (UTs) each equipped with a single MA to a base station (BS) with a fixed-position antenna (FPA) array is considered. Specifically, we formulate an optimization problem for minimizing the total transmit power of UTs, subject to a minimum-achievable-rate requirement for each UT, where the positions of MAs and the transmit powers of UTs, as well as the receive combining matrix at the BS are jointly optimized. To solve this non-convex optimization problem, we first express the combining matrix of the BS and the total transmit power of UTs as a function of the MAs' position vectors, which are then optimized by using the gradient descent method in an iterative manner. Simulation results demonstrate that compared to conventional FPA systems, the proposed MA-enhanced multiple access systems can significantly decrease the total transmit power of UTs by moving antennas within small regions of several-wavelength size. © 2023 IEEE.

关键词： Convex optimization

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Sentiment Analysis of Semester Learning Essays in Design Education

Sentiment Analysis of Semester Learning Essays in Design Edu...

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2023 IEEE International Conference on Industrial engineering and engineering Management, IEEM 2023

作者： Wang, Z.H. Ming, Z.J. Wang, G.X. Mistree, F. Allen, J.K. School of Mechanical Engineering Beijing Institute of Technology Beijing China Yangtze Delta Region Academy of Beijing Institute of Technology Jiaxing China Ministry of Industry and Information Technology Key Laboratory of Industry Knowledge & Data Fusion Technology and Application Beijing China The University of Oklahoma The Systems Realization Laboratory Norman United States

ISBN: (纸本)9798350323153

AME4163: Principles of engineering Design is a design, build and test course offered at the University of Oklahoma, Norman, USA. Throughout the semester students are expected to reflect on authentic and immersive experiences and write Take-aways and Learning Statements. At the end of the semester each student submits a summative Semester Learning Essay. Between 2019-2021 we collected about 10,000 Take-aways and Learning Statements from the Semester Learning Essays of nearly 400 students. In this paper, we attempt to help instructors gain insight of what students have learned through these materials and thence improve the delivery of the course in the future. We analyze their Take-aways from summative Semester Learning Essays by using dictionary-based sentiment analysis to assess students' subjective feelings toward what they have learned. The results prove that we gain insight into their learning thereby providing instructors with evidence-based guidance on modifying the course from different perspectives. The method proposed is generalizable to courses that involve authentic immersive experiences. © 2023 IEEE.

关键词： Assessment of learning learning by reflecting on doing sentiment analysis summative assessment

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Design of a clever carbon monoxide monitoring system

Design of a clever carbon monoxide monitoring system

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第35届中国控制与决策会议

作者： Yanxi Cao Hongyan Ma Yingda Zhang Wei He School of Electrical and Information Engineering Beijing University of Civil Engineering and Architecture School of Electrical and Information Engineering Institute of Distributed Energy Storage Safety Big DataBeijing Key Laboratory of Intelligent Processing for Building Big Data Beijing University of Civil Engineering and Architecture

Carbon monoxide is a colorless and odorless gas that is extremely *** monoxide cannot be accurately detected or eliminated by the senses in high concentrations in the body under relatively airtight *** a result,the human body can only inhale it *** monoxide inhalation can deplete the body's oxygen supply,causing symptoms such as nausea,dizziness,headaches,and,in severe cases,*** response to the event's insidiousness,urgency,and ***,because the current carbon monoxide monitoring system is not portable,it is proposed to design a microcontroller as the core,with a concentration collection module,a wireless transmission module,an LCD module,and so *** with information between intelligent monitoring systems via wireless transmission module and mobile phone *** system consists of a microcontroller,concentration acquisition module,wireless transmission module,and LCD display *** the performance of the system is tested by changing the environmental conditions,while a control test is *** results show that the system has a fast and stable transmission rate,small size,and wireless monitoring *** can be informed of environmental conditions via their mobile phones,providing early warning and quick alarms.

关键词： Wi-Fi transmission carbon monoxide monitoring microcontroller unit indoor real-time monitoring

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Enhancing stimulated Brillouin scattering in the waveguide grating

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Optoelectronics Letters 2022年第3期18卷 143-147页

作者： WANG Minghai CUI Fengtao YANG Yang DONG Wei State Key Laboratory on Integrated Optoelectronics College of Electronic Science and EngineeringJilin UniversityChangchun 130012China Big Data and Network Management Center Jilin UniversityChangchun 130012China Changchun Automotive Test Center Co. Ltd.Changchun 130012China

We obtain the enhanced stimulated Brillouin scattering(SBS)by adding the optimized Bragg grating to an As_(2)S_(3) chalcogenide half suspended-core rectangle *** half suspended-core waveguide grating is characterized by the period of 344.67 nm and the refractive index modulation depth of *** simulation experiments,the obtained Brillouin gain is 58.5 dB and the 3 dB bandwidth can reduce to 7.8 *** half suspended-core waveguide structure can decrease the size of the chip while the periodic structure can enhance the slow light effect,so we have improved the integration of the waveguide and enhanced SBS by combining these two advantages.

关键词： waveguide scattering Brillouin

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