作者机构：
[Zhichun Li; Yifa Sheng] School of Electrical Engineering, Uersity of South China, Hengyang, China;[Tongguang Yang] School of Mechanical and Electrical Engineering, Hunan City University, Yiyang, China
会议名称：
2025 4th International Conference on Power System and Energy Technology (ICPSET)
会议时间：
18 July 2025
会议地点：
Chengdu, China
会议论文集名称：
2025 4th International Conference on Power System and Energy Technology (ICPSET)
关键词：
IGBT;Health status;Aging;Monitor
摘要：
Fatigue damage occurs during the operation of IGBTs, and the accumulation of fatigue damage accelerates the aging of IGBTs. Aging is an important cause of IGBT failure, so the monitoring of aging parameters of IGBT module is an important means to ensure the stable operation of the system, according to the IGBT module, the current IGBT module health state assessment is summarized and compared. According to the shortcomings of the current research and the current research status, the research direction of IGBT module health state assessment is prospected.
作者机构：
[Hulin Kuang; Jianxin Wang] Hunan Provincial Key Lab on Bioinformatics, School of Computer Science and Engineering, Central South University, Hunan, China;College of Information and Electronic Engineering, Hunan City University, Yiyang, Hunan, China;[Jiancun Zhou] Hunan Provincial Key Lab on Bioinformatics, School of Computer Science and Engineering, Central South University, Hunan, China<&wdkj&>College of Information and Electronic Engineering, Hunan City University, Yiyang, Hunan, China
会议名称：
Bioinformatics Research and Applications: 21st International Symposium, ISBRA 2025, Helsinki, Finland, August 3–5, 2025, Proceedings, Part II
摘要：
Accurate prediction of pathological complete response (pCR) is useful for clinical precision treatment of lung cancer. Computed tomograph (CT) imaging is widely used for predicting pCR in lung cancer due to its rapid acquisition and ease of use. However, existing classification methods for pCR prediction are primarily limited to either convolutional neural networks (CNNs) or Transformer architectures, which can not capture effective global information or have relatively low computational efficiency. Therefore, this study proposes a novel CNN and Mamba hybrid network with multi-scale awareness module to achieve accurate pCR prediction on CT scans of lung cancer patients. In each stage of the proposed hybrid CNN-Mamba encoder, we first employ channel splitting to significantly reduce the number of parameters, and utilize the designed CNN branch and Mamba branch to extract effective local and global features. Specifically, in the Mamba branch, we propose a novel intra-slice and inter-slice scanning mechanism to implement 8-way 3D scanning to replace the original 2D scanning mechanism, thereby substantially enhancing the model’s ability to capture global information in 3D images. Furthermore, to better fuse CNN and Mamba features, we design a novel multiscale awareness feature fusion module with channel-level and multi-scale spatial level fusion. The proposed method is evaluated on a private dataset that includes CT scans of 108 lung cancer patients who undergone neoadjuvant chemoimmunotherapy. Experimental results demonstrate that our proposed HCM-Net achieves the best accuracy of 83.33% and AUC of 84.08%, outperforming other state-of-the-art methods.
期刊：
PROCEEDINGS OF THE 36TH CHINESE CONTROL AND DECISION CONFERENCE, CCDC 2024,2024年:250-253 ISSN：1948-9439
通讯作者：
Yan, R
作者机构：
[Yan, Rian] Hunan City Univ, Sch Math & Comp Sci, Yiyang 413000, Peoples R China.;[Zhao, Yige] Univ Jinan, Sch Math Sci, Jinan 250022, Peoples R China.
通讯机构：
[Yan, R ] H;Hunan City Univ, Sch Math & Comp Sci, Yiyang 413000, Peoples R China.
会议名称：
2024 36th Chinese Control and Decision Conference (CCDC)
会议时间：
25 May 2024
会议地点：
Xi'an, China
会议主办单位：
[Yan, Rian] Hunan City Univ, Sch Math & Comp Sci, Yiyang 413000, Peoples R China.^[Zhao, Yige] Univ Jinan, Sch Math Sci, Jinan 250022, Peoples R China.
会议论文集名称：
2024 36th Chinese Control and Decision Conference (CCDC)
关键词：
Fractional boundary value problem;Positive solution;phi-Laplacian operator
摘要：
In this paper, a class of boundary value problems of nonlinear fractional differential equations with phi-Laplacian operator is investigated. Based on the Schauder fixed point theorem, a new existence result for positive solutions, in terms of the value of the parameter h is obtained. Finally, an example is given to illustrate the main result.
期刊：
2024 24TH INTERNATIONAL CONFERENCE ON CONTROL, AUTOMATION AND SYSTEMS, ICCAS 2024,2024年:1042-1047 ISSN：2093-7121
通讯作者：
Zhao, YG
作者机构：
[Zhao, Yige; Han, Jing] Univ Jinan, Sch Math Sci, Jinan 250022, Peoples R China.;[Yan, Rian] Hunan City Univ, Sch Math & Comp Sci, Yiyang 413000, Peoples R China.
通讯机构：
[Zhao, YG ] U;Univ Jinan, Sch Math Sci, Jinan 250022, Peoples R China.
会议名称：
2024 24th International Conference on Control, Automation and Systems (ICCAS)
会议时间：
29 October 2024
会议地点：
Jeju, Korea, Republic of
会议主办单位：
[Zhao, Yige;Han, Jing] Univ Jinan, Sch Math Sci, Jinan 250022, Peoples R China.^[Yan, Rian] Hunan City Univ, Sch Math & Comp Sci, Yiyang 413000, Peoples R China.
会议论文集名称：
2024 24th International Conference on Control, Automation and Systems (ICCAS)
关键词：
Fractional boundary value problem;Positive solution;phi-Laplacian operator
摘要：
This paper investigates the existence of positive solutions to boundary value problems for nonlinear fractional differential equations with φ-Laplacian operator, which is fundamental to the study of control theory for such problems. Based on fixed point theorems, several new existence results for positive solutions, in terms of the value of parameters h<inf xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">1</inf>,h<inf xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">2</inf>,h<inf xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">3</inf> are obtained. Finally, two examples are given to illustrate the main results.
会议名称：
20th International Symposium on Bioinformatics Research and Applications (ISBRA)
会议时间：
JUL 19-21, 2024
会议地点：
Kunming, PEOPLES R CHINA
会议主办单位：
[Zhou, Jiancun;Kuang, Hulin;Wang, Yahui;Wang, Jianxin] Cent South Univ, Sch Comp Sci & Engn, Hunan Prov Key Lab Bioinformat, Changsha, Hunan, Peoples R China.^[Zhou, Jiancun] Hunan City Univ, Coll Informat & Elect Engn, Yiyang, Hunan, Peoples R China.
会议论文集名称：
Lecture Notes in Bioinformatics
关键词：
Hybrid Network;Low-Complexity Self-Attention;Neoadjuvant Chemoimmunotherapy;Lung Cancer Tumor Prediction
摘要：
Neoadjuvant chemoimmunotherapy is an effective treatment for lung cancer. Accurate prediction of lung cancer tumor after neoadjuvant chemoimmunotherapy from Computed tomography (CT) scans is of significance as it can enable clinicians to quickly select patients who will obtain good outcomes after treatments and evaluate patients' prognosis in advance. Therefore, this study proposes a new hybrid Convolutional Neural Network (CNN) and low-complexity Transformer network with attention-based feature fusion to achieve lung cancer tumor prediction after neoadjuvant chemoimmunotherapy on CT scans. In each stage, we first use channel split to reduce the parameters, then we design both CNN branch and low-complexity Transformer branch to learn the effective local and global features. To reduce the computational complexity of the Transformer, we introduce a novel low-complexity self-attention computation method via feature aggregation and element-wise multiplication. Additionally, to effectively fuse CNN and Transformer features, we design an attention-based feature fusion module with coarse fusion, attention computing and fine fusion. The proposed method is evaluated on a private lung cancer dataset including CT scans of 232 patients undergone neoadjuvant chemoimmunotherapy. Experimental results demonstrate that our proposed method achieves the highest Dice of 47.04% with the fewest parameters of 2.91M and floating point operations (FLOPs) of 52.95G, outperforming several state-of-the-art methods. Diameter analysis shows the predicted diameters of lung cancer tumors are promising to provide support information for treatment planning.
摘要：
Images obtained by compressive push-broom hyperspectral imaging systems may be affected by serious stripe noise, which will significantly reduce the image quality and affect the subsequent image processing. In this paper, we propose a destriping method via matrix decomposition and sparsity constraints for compressive hyperspectral images (CoHSIs). The original noise-free CoHSI is decomposed into a spectral information matrix and a spatial information matrix. The sparsity of spatial information matrix, the smoothness of spectral information matrix and the sparsity of stripe noise are used to remove the stripe noise while preserving spatial details and spectral information of the original image. Numerical tests with both simulated and real datasets show that the proposed method can achieve good results.
期刊：
2024 International Conference on HVDC (HVDC),2024年:180-186
作者机构：
[Siyi Qi; Yuanhao Wan; Wei Liu; Xiaojun Zhang] Electric Power Research Institute, State Grid Xinjiang Electric Power Co., Ltd., Xinjiang Key Laboratory of Extreme Environment Operation and Detection Technology on Power Transmission &Transformation Equipment,Xinjiang,China,830011;[Fangru Dong] Hunan City University, Xinjiang Key Laboratory of Extreme Environment Operation and Detection Technology on Power Transmission &[Siyi Qi; Yuanhao Wan; Fangru Dong; Wei Liu; Xiaojun Zhang] Transformation Equipment,Xinjiang,China,830011
会议名称：
2024 International Conference on HVDC (HVDC)
会议时间：
08 August 2024
会议地点：
Urumqi, China
会议论文集名称：
2024 International Conference on HVDC (HVDC)
关键词：
pollution flashover;insulators;PSCAD;feed pump frequency converter
摘要：
Pollution flashover is one of the important reasons for the decrease in insulation strength of transmission lines. The occurrence of pollution flashover in transmission lines is mainly due to the special climate of the environment in which they are located, and the dissolution and conductivity of attachments on the surface of insulators, significantly reducing the insulation level of insulators. The paper uses PSCAD transient simulation software to model and simulate the 220kV Jinmou Second Line operated and maintained by an energy supply company. The results show that the B phase of the 220kV Jinmou Second Line did indeed experience a tripping phenomenon. Through on-site investigation, it was found that the insulators were heavily contaminated and did not comply with regulations. Under the influence of heavy fog weather, pollution flashover is prone to occur. Subsequently, through the analysis of the action of the feed pump frequency converter, it was found that the accident occurred indirectly due to the load fluctuation range exceeding the controllable range of the frequency converter during the restart process, resulting in overcurrent protection actions of the 1st and 2nd frequency converters; And the water supply of boiler 4 did not meet the demand, resulting in boiler shutdown. Based on the analysis of the case, prevention and control measures for differential transformation of insulators and optimization of the feed pump frequency converter were proposed.
会议名称：
20th International Conference on Intelligent Computing (ICIC)
会议时间：
AUG 05-08, 2024
会议地点：
Tianjin Univ Sci & Tech, Tianjin, PEOPLES R CHINA
会议主办单位：
Tianjin Univ Sci & Tech
会议论文集名称：
Lecture Notes in Bioinformatics
关键词：
Lung Cancer Segmentation;Convolutional Neural Network;Transformer;Hybrid Network;Feature Fusion
摘要：
Segmentation of lung cancer lesions can assist physicians in diagnosing the condition. Transformer typically has high computational complexity, and how to effectively integrate Convolutional Neural Network (CNN) and Transformer for lung cancer segmentation remains an unresolved issue. Therefore, this paper introduces a novel hybrid CNN and Transformer network for lung cancer segmentation. The designed method consists of a CNN encoder, a Transformer encoder, a fusion module, and a CNN decoder. The CNN encoder is employed to extract local features, while the Transformer encoder captures global features. We propose a new self-attention-free Transformer block, which replaces the self-attention mechanism with a combination of shifting operations and depth-wise convolution to reduce computational complexity while maintaining performance. In addition, to enhance the interaction between CNN features and Transformer features, we introduce an innovative local-global attention fusion module, which performs feature fusion from both local and global views, resulting in better feature representations. The proposed approach is evaluated on a lung cancer segmentation dataset. Experimental results show that the proposed method achieves a Dice of 0.714 for lung cancer segmentation, outperforming several state-of-the-art methods.
期刊：
2024 24TH INTERNATIONAL CONFERENCE ON CONTROL, AUTOMATION AND SYSTEMS, ICCAS 2024,2024年:1048-1053 ISSN：2093-7121
通讯作者：
Zhao, YG
作者机构：
[Li, Yabing; Zhao, Yige] Univ Jinan, Sch Math Sci, Jinan 250022, Peoples R China.;[Yan, Rian] Hunan City Univ, Sch Math & Comp Sci, Yiyang 413000, Peoples R China.
通讯机构：
[Zhao, YG ] U;Univ Jinan, Sch Math Sci, Jinan 250022, Peoples R China.
会议名称：
2024 24th International Conference on Control, Automation and Systems (ICCAS)
会议时间：
29 October 2024
会议地点：
Jeju, Korea, Republic of
会议主办单位：
[Li, Yabing;Zhao, Yige] Univ Jinan, Sch Math Sci, Jinan 250022, Peoples R China.^[Yan, Rian] Hunan City Univ, Sch Math & Comp Sci, Yiyang 413000, Peoples R China.
会议论文集名称：
2024 24th International Conference on Control, Automation and Systems (ICCAS)
关键词：
Variable-order;Existence;Fixed point theorem
摘要：
The existence and uniqueness of solutions of nonlinear fractional differential equations is the key point for stability theory and the design of feedback stabilization controllers. In this paper, we investigate the existence of solutions for initial problems of fractional hybrid differential equations of variable-order 0 < sigma (rho) < 1. Based on the generalized intervals and piecewise constant functions, the existence of solutions is established with the help of a fixed point theorem in the Banach algebra due to Dhage.
期刊：
2023 4th International Conference on Information Science, Parallel and Distributed Systems (ISPDS),2023年:608-611
作者机构：
Hunan Provincial Key Laboratory of Remote Sensing, Monitoring of Ecological Environment in Dongting Lake Area, Changsha, Hunan, China;School of Municipal and Surveying Engineering, Hunan City University, Yiyang, Hunan, China;[Zhen Xi; Yun Xue] Hunan Provincial Key Laboratory of Remote Sensing, Monitoring of Ecological Environment in Dongting Lake Area, Changsha, Hunan, China<&wdkj&>School of Municipal and Surveying Engineering, Hunan City University, Yiyang, Hunan, China
会议名称：
2023 4th International Conference on Information Science, Parallel and Distributed Systems (ISPDS)
会议时间：
14 July 2023
会议地点：
Guangzhou, China
会议论文集名称：
2023 4th International Conference on Information Science, Parallel and Distributed Systems (ISPDS)
关键词：
Water quality assessment;Support vector machine;Dongting Lake
摘要：
This paper presents 15 SVM models optimized by machine learning methods in water quality assessment. Through comparative analysis, we found that all the models reached reasonable accuracy during the training and testing process. In particular, SAA-SVM-PI, GWO-SVM-PI, GWO-SVM-TN, PSO-SVM-TP models have the highest accuracy, the highest squared correlation and the lowest mean squared error when testing the three indexes of PI, TN and TP. In order to study the spatial distribution characteristics of water quality in Dongting Lake, GWO-SVM-PI, GWO-SVM-TN and PSO-SVM-TP models were respectively used for single-factor water quality classification. The results showed that: As far as the PI is concerned, the water quality is mainly in grade I and II; As far as TN is concerned, the water quality is mainly of grade IV and V, with the worst water quality in the East Dongting Lake and the outlet profile; In terms of TP, the water quality is mainly of grade III, IV and V, with the best inlet water quality, the worst water quality in the South Dongting Lake.
作者机构：
[Jiangxi Yu] International Office, Guangzhou Academy of Fine Arts, Guangzhou, China;[Cheng Yan] College of Physical Education, Hunan City University, Yiyang, China;[Xianrong Liang; Qi Song] School of Art and Design, Guangdong University of Finance and Economics, Guangzhou, China
会议名称：
2023 2nd International Conference on Artificial Intelligence, Human-Computer Interaction and Robotics (AIHCIR)
会议时间：
08 December 2023
会议地点：
Tianjin, China
会议论文集名称：
2023 2nd International Conference on Artificial Intelligence, Human-Computer Interaction and Robotics (AIHCIR)
关键词：
stochastic differential equation;Fokker-Planck equation;intelligent tennis practicing device;data screening;precision test
摘要：
This Research focuses on the intelligent tennis practicing device design based on stochastic differential equations. By constructing the Fokker-Planck equation, we aim to test the accuracy of the algorithm and improve the precision of data feedback. We use the intelligent tennis practicing device of the Hong Kong Swallowsing Sports Technology Co., LTD., as the research object. By reading the data of simulated physical tennis through sensors, such as moving acceleration, angular velocity, and tennis rotation speed, we perform data selection and calculation to generate the virtual three-dimensional tennis trajectory and landing point in the tennis court. At the same time, we provide corresponding training guidance based on the athlete's performance and training needs to improve the training effect. This research provides a new method and approach for the design and accuracy verification of intelligent tennis practicing device.
作者机构：
[Shuguang Liao; Jiehong Liu; Lihui Liu] Changsha Maxxom High-Tech Co., Ltd., Changsha, China;[Xinqiao Zhang] School of Municipal Engineering and Surveying and Mapping of Hunan City University, Yiyang, China;[Quan Zhang] College of Civil Engineering, Hunan University, Changsha, China;[Feihu Chen] School of Municipal Engineering and Surveying and Mapping of Hunan City University, Yiyang, China<&wdkj&>College of Civil Engineering, Hunan University, Changsha, China
会议名称：
2023 International Seminar on Computer Science and Engineering Technology (SCSET)
会议时间：
April 2023
会议地点：
New York, NY, USA
会议论文集名称：
2023 International Seminar on Computer Science and Engineering Technology (SCSET)
关键词：
Performance calculation;finite-time thermodynamics;Air source heat pump water heater unit;Hourly operation conditions throughout the year;Energy efficiency ratio;Hot water demand
摘要：
At present, air source heat pump water heater units are widely used and have formed relevant national standards. However, the unit energy efficiency ratio is greatly affected by the outdoor meteorological conditions, and the hot water demand usually varies with the season and the user's water use habits. It is difficult to accurately and objectively reflect the actual energy saving effect only by using the unit operating energy efficiency ratio under nominal conditions. In this paper, the finite-time thermodynamic analysis method is introduced for four cities with typical distribution of air source heat pump water heater units, combined with regional meteorological conditions and actual application of users. A continuous energy efficiency evaluation integral model is proposed. Then the actual energy efficiency of the air source heat pump water heater unit is evaluated based on the annual comprehensive operating conditions to determine a more reasonable evaluation standard. The analysis results show that the comprehensive energy efficiency evaluation of the air source heat pump water heater unit is more accurate and more in line with the actual operation of the system by using the annual comprehensive operation hourly working condition as the reference working point. This case can be used as a reference for the evaluation of this type of thermal system.
期刊：
2023 International Conference on Data Science and Network Security (ICDSNS),2023年:1-5
作者机构：
Hunan City University, Yiyang, Hunan, China;San Yu University, Seoul, South Korea;[Run Zeng] Hunan City University, Yiyang, Hunan, China<&wdkj&>San Yu University, Seoul, South Korea
会议名称：
2023 International Conference on Data Science and Network Security (ICDSNS)
会议时间：
28 July 2023
会议地点：
Tiptur, India
会议论文集名称：
2023 International Conference on Data Science and Network Security (ICDSNS)
关键词：
remote sensing image fusion;urban space design;colour correlation
摘要：
With economic and social development, urbanisation is accelerating and human activities are increasingly interfering with the natural environment, leading to a series of ecological and environmental problems. To solve these problems, rational planning and management of cities is required. One of the important tools is to guide urban construction through urban colour landscapes. At present, many large and medium-sized cities in China have the phenomenon of “a thousand cities in one”, which not only affects people's quality of life, but also restricts the shaping of urban characteristics. Therefore, how to use remote sensing technology to obtain high-resolution satellite images and combine with GIS platform to achieve multi-source data integration application has become one of the current research hotspots. The experimental results show that the composition integrity of urban space design colors based on remote sensing image fusion algorithm can reach up to 94.8%.
