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2024 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2024

作者： Wen, Xiaoru Sun, Lijun Xie, Lei Zheng, Yanfen Cao, Ben Wang, Bin Dalian University Key Laboratory of Advanced Design and Intelligent Computing Ministry of Education School of Software Engineering Dalian China Dalian University of Technology School of Computer Science and Technology Dalian China

ISBN: (纸本)9798350386226

DNA triple helix structure, as a highly specific gene targeting tool, enable gene regulation by precisely identifying and binding to target DNA sequences. However, the limits of design quality and efficiency affect their wide application in gene therapy. Therefore, in this paper, we propose an antiparallel DNA triple helixes design method-MFN based on matrix chaotic game representation (mCGR) and flow network. Leveraging the structural characteristics of DNA sequences, this method employs the mCGR algorithm to construct an initial matrix, generating a set of DNA sequences that conform to foundational constraints. Then, these sequences are mapped as stream network nodes to screen crosstalk structures by path search, and the whole process is observable and interpretable. Experimental results show that MFN significantly improves the design efficiency of triple helix structure and reduces crosstalk phenomenon. Wet experiments further verify the effectiveness of the method. In summary, MFN achieves an efficient and high-quality design of DNA triple helixes and provides a new idea for targeted gene therapy. © 2024 IEEE.

关键词： Crosstalk

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De-DETR: A More Accurate Real-Time Defect Detection Method 3

De-DETR: A More Accurate Real-Time Defect Detection Method

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3rd International Conference on Big Data, Information and Computer Network, BDICN 2024

作者： Yue, Zhongmu Xu, Hao Zhang, Yifan Xu, Ziwen Ma, Jie School of Artificial Intelligence and Automation Huazhong University of Science and Technology National Key Laboratory of Science and Technology on Multi-spectral Information Processing Wuhan Hubei China China Ship Development and Design Center Wuhan Hubei China

ISBN: (纸本)9798350363821

In industrial production, defect detection technology plays a very important role in improving product yield and increasing enterprise efficiency. At present, defect detection technology based on deep learning mainly focuses on convolutional neural networks. With the gradual application of the Transformer architecture represented by the DETR[1] model in the image field, there is a new direction for the update of defect detection technology. This paper proposes a defect detection method based on DETR. This method focuses on improving the encoding method of defect information, further improving the information fusion efficiency of deep features and shallow features, while maximizing the retention of deep semantic information, effectively improving the overall performance of the model. Experiments show that this method is superior to excellent real-Time detection models such as YOLO and Rt-DETR[2] in terms of defect detection effects on the NEU-DET dataset. © 2024 IEEE.

关键词： Information fusion

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Maximum Distance Separable (MDS) Code Aided GSM-MIMO: design and Optimization

Maximum Distance Separable (MDS) Code Aided GSM-MIMO: Design...

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2024 IEEE Global Communications Conference, GLOBECOM 2024

作者： Yang, Ning Yang, Ping Huang, Yiqian Liu, Jiaqi Quek, Tony Q. S. Zhang, Bo University of Electronic Science and Technology of China National Key Laboratory of Wireless Communications Sichuan 611731 China Singapore University of Technology and Design 487372 Singapore 32806 Troops Beijing100010 China

ISBN: (纸本)9798350351255

In this paper, we propose a new framework by combining the concepts of maximum distance separable (MDS) code and generalized spatial modulation (GSM) for multiple-input multiple-output (MIMO) transmission, namely MDS-GSM-MIMO. In our design, we exploit the powerful MDS code to increase the minimum Hamming distance (MHD) of the code-words, up to 2, and use the concept of space-domain index modulation to enlarge the minimum Euclidean distance (MED) of the achieved multidimensional GSM constellations. Moreover, we add the maximum minimum distance (MMD) precoder and guaranteed Euclidean distance (GED) precoder to enhance the MED further. Therefore, the MDS-GSM-MIMO we proposed with precoding is capable of optimizing both the overall MHD and MED. Then, we conduct theoretical analyses and comparisons with regard to average bit error rate (ABER) bound, MHD and MED of the conventional GSM-MIMO and the proposed MDS-GSM-MIMO. Simulation results show that the MDS-GSM-MIMO exhibits a BER performance gain of 3 dB compared to conventional GSM-MIMO, while the proposed MDS-GSM-MIMO with precoding exhibits a BER performance gain of up to 4 dB compared to the counterpart without precoding. © 2024 IEEE.

关键词： Hamming distance

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Influence of Monstera riedrichsthalii bionic textures on the tribological and vibration behavior of rolling bearings

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Friction 2025年第3期13卷 153-170页

作者： Risheng Long Qingyu Shang Shaoni Sun Siwei Wang Chi Ma Jianwei Zhang Max Marian Equipment Reliability Institute Shenyang University of Chemical TechnologyShenyang 110142China Liaoning Provincial Key Laboratory of Efficient Chemical Mixing Technology Shenyang 110142China School of Mechanical Engineering and Automation Northeastern UniversityShenyang 110089China China–Spain Joint Laboratory on Material Science Shenyang University of Chemical TechnologyShenyang 110142China Department of Mechanical and Metallurgical Engineering Pontificia Universidad Católica de ChileMacul 690411Chile Institute of Machine Design and Tribology(IMKT) Leibniz University HannoverAn der Universität 1Garbsen 30823Germany

Surface texturing has been proven to be an effective method for improving the lubrication characteristics and tribological behavior of tribo-pairs under various operating *** by the unique Swiss cheese-like leaves of Monstera riedrichsthalii,eight bionic texture patterns were *** influence of vein features,such as costal vein angles(45°and 60°),vein symmetry(symmetric,asymmetric),and elliptical holes,on the tribological and vibration characteristics of rolling bearings was investigated under starved lubrication through a wear test rig and time‒frequency domain vibration signal *** results show that the average coefficients of friction and wear losses of the Monstera riedrichsthalii bionictextured groups are generally lower than those of the smooth *** amplitudes and parameters(i.e.,peak value,root mean square(RMS),and crest factor)of the time-domain vibration signals of the textured groups are greater than those of the smooth group in the early stages,but the vibration parameters of most textured groups are lower than those of the smooth bearings in the later stages,especially those of the groups with elliptical *** amplitudes and power spectral density(PSD)curves of the frequency-domain vibration signals exhibit similar variations to those of the time-domain *** with the smooth reference,the Monstera riedrichsthalii bionictextured group with a combination of 45°secondary-vein angle,asymmetry,and elliptic holes can provide excellent tribological and vibration *** well-lubricating period,average coefficient of friction(CoF),and mass loss can be effectively prolonged or reduced by 37.4%,7.3%,and 43.9%,respectively.

关键词： rolling bearings Monstera riedrichsthalii bionic textures tribological and vibration behavior starved lubrication

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A fault diagnosis method for ship shaft system based on empirical wavelet transform and particle filtering 2

A fault diagnosis method for ship shaft system based on empi...

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2nd IEEE International Conference on Electrical Engineering, Big Data and Algorithms, EEBDA 2023

作者： He, Yangyang Ni, Chao Science and Technology on Electromagnetic Compatibility Laboratory Wuhan China China Ship Development and Design Center Wuhan China

ISBN: (纸本)9781665462532

In order to solve the problems of excessive redundant information and low fault feature extraction rate of ship shafting vibration signal, a fault feature extraction method based on empirical wavelet transform and particle filter is proposed. Firstly, the original signal is processed by empirical wavelet transform to separate the redundant vibration components, and solve the defects such as end effect and modal aliasing inherent in empirical mode decomposition. Secondly, intrinsic mode functions are filtered and reconstructed based on kurtosis, correlation coefficient and energy ratio to highlight fault information and improve signal-to-noise ratio. Finally, particle filter is applied to the reconstructed fault feature components to eliminate the residual non-linear and non-Gaussian noise in EWT, and the fault type is analyzed by the envelope spectrum. Through the analysis of the experimental bearing signal, the feature extraction ability and noise suppression ability of the method are verified, which can be effectively applied to the fault diagnosis of the ship shaft system. © 2023 IEEE.

关键词： Failure analysis

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Performance Assessment of GPT 4.0 on the Japanese Medical Licensing Examination

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当代医学科学（英文） 2024年第6期44卷 1148-1154页

作者： Hong-lin WANG Hong ZHOU Jia-yao ZHANG Yi XIE Jia-ming YANG Ming-di XUE Zi-neng YAN Wen LI Xi-bao ZHANG Yong WU Xiao-ling CHEN Peng-ran LIU Lin LU Zhe-wei YE Department of Orthopedics Surgery Union HospitalTongji Medical CollegeHuazhong University of Science and TechnologyWuhan 430022China Laboratory of Intelligent Medicine Union HospitalTongji Medical CollegeHuazhong University of Science and TechnologyWuhan 430022China Homes for the Elderly in Hainan Province Hainan 570216China Hainan Wuhua Intelligent Design and Numerical Control Technology Research Institute Hainan 571137China Laboratory of Intelligent Medicine Union HospitalTongji Medical CollegeHuazhong University of Science and TechnologyWuhan 430022China Department of Orthopedics Renmin Hospital of Wuhan UniversityWuhan 430060China

Objective:To evaluate the accuracy and parsing ability of GPT 4.0 for Japanese medical practitioner qualification examinations in a multidimensional way to investigate its response accuracy and comprehensiveness to medical ***:We evaluated the performance of the GPT 4.0 on Japanese Medical Licensing Examination(JMLE)questions(2021-2023).Questions are categorized by difficulty and type,with distinctions between general and clinical parts,as well as between single-choice(MCQ1)and multiple-choice(MCQ2)*** levels were determined on the basis of correct rates provided by the JMLE Preparatory *** accuracy and quality of the GPT 4.0 responses were analyzed via an improved Global Qualily Scale(GQS)scores,considering both the chosen options and the accompanying *** statistics and Pearson Chi-square tests were used to examine performance across exam years,question difficulty,type,and *** 4.0 ability was evaluated via the GQS,with comparisons made via the Mann-Whitney U or Kruskal-Wallis ***:The correct response rate and parsing ability of the GPT4.0 to the JMLE questions reached the qualification level(80.4％).In terms of the accuracy of the GPT4.0 response to the JMLE,we found significant differences in accuracy across both difficulty levels and option *** to the GQS scores for the GPT 4.0 responses to all the JMLE questions,the performance of the questionnaire varied according to year and choice ***:GTP4.0 performs well in providing basic support in medical education and medical research,but it also needs to input a large amount of medical-related data to train its model and improve the accuracy of its medical knowledge *** integration of ChatGPT with the medical field could open new opportunities for medicine.

关键词： large language model ChatGPT artificial intelligence Japanese medical licensing examination

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DeepRank: Test Case Prioritization for Deep Neural Networks 35

DeepRank: Test Case Prioritization for Deep Neural Networks

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35th International Conference on Software Engineering and Knowledge Engineering, SEKE 2023

作者： Li, Wei Zhang, Zhiyi Jian, Yifan Liu, Chen Huang, Zhiqiu Collage of Computer Science and Technology Nanjing University of Aeronautics and Astronautics Nanjing China Collaborative Innovation Center of Novel Software Technology and Industrialization Nanjing China Science and Technology on Reactor System Design Technology Laboratory Nuclear Power Institute of China Chengdu China School of Marxism Yangzhou University Yangzhou China Ministry Key Laboratory for Safety-Critical Software Development and Verification Nanjing University of Aeronautics and Astronautics Nanjing China

Deep neural networks (DNNs) have been widely used in safety-critical fields such as autonomous driving and medical diagnosis. However, DNNs are easily disturbed to make wrong decisions, which may lead to loss of life or property. Therefore, it is vital to test DNN adequately. In practice, to reveal the incorrect behavior of DNN and improve its robustness, testers usually need massive labeled data to test and optimize DNN. However, labeling test inputs to detect the correctness of DNN predictions is an expensive and time-consuming task that even affects the efficiency of DNN testing. To relieve the labeling-cost problem, we propose DeepRank, a test case prioritization technique based on cross-entropy loss. The key idea of DeepRank is that the higher the loss value of a test case relative to the DNN, the more likely it is to be mispredicted and the more conducive it is to improve the robustness of the DNN through retraining. Therefore, the cross-entropy loss value can be used for test case prioritization. We experimentally validate our approach on two datasets and three DNNs models. The experimental results demonstrate that DeepRank is significantly better than existing test case prioritization methods regarding fault-revealing capability and retraining effectiveness. © 2023 Knowledge Systems Institute Graduate School. All rights reserved.

关键词： Deep neural networks

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Self-supported porous heterostructure WC/WO_(3−x)ceramic electrode for hydrogen evolution reaction in acidic and alkaline media

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Journal of Advanced Ceramics 2022年第8期11卷 1208-1221页

作者： Feihong WANG Binbin DONG Junwei WANG Nianwang KE Chuntian TAN Anding HUANG Yutong WU Luyuan HAO Liangjun YIN Xin XU Yuxi XIAN Simeon AGATHOPOULOS CAS Key Laboratory of Materials for Energy Conversion Department of Materials Science and EngineeringUniversity of Science and Technology of ChinaHefei 230026China School of Materials Science and Engineering Henan Key Laboratory of Special Protective MaterialsLuoyang Institute of Science and TechnologyLuoyang 471023China Yangtze Delta Region Institute(Huzhou) University of Electronic Science and Technology of ChinaHuzhou 313001China School of Energy Science and Engineering University of Electronic Science and Technology of ChinaChengdu 611731China CAS Key Laboratory of Mechanical Behaviors and Design of Materials Department of Modern MechanicsUniversity of Science and Technology of ChinaHefei 230026China Department of Materials Science and Engineering University of IoanninaIoannina GR-45110Greece

Tungsten carbide(WC)-based materials are widely considered as the hydrogen evolution reaction(HER)process catalysts due to their“Pt-like”electronic ***,traditional powder electrodes have a high cost,and display problems related to the process itself and the poor stability over operation *** paper presented a self-supported asymmetric porous ceramic electrode with WO_(3-x)whiskers formed in situ on the walls of the finger-like holes and membrane surface,which was prepared by combining phase inversion tape-casting,pressureless sintering,and thermal treatment in a CO_(2) *** optimized ceramic electrode displayed good catalytic HER activity and outstanding stability at high current *** specifically,it demonstrated the lowest overpotentials of 107 and 123 mV and the lowest Tafel slopes of 59.3 and 72.4 mV·dec^(-1)at 10 mA·cm^(-2)in acidic and alkaline media,*** superior performance was ascribed to the structure of the ceramic membrane and the charge transfer efficiency,which was favored by the in situ developed WC/WO_(3-x)heterostructure and the oxygen vacancies.

关键词： hydrogen evolution reaction(HER) porous ceramic membrane WC/WO_(3−x)heterostructure self-supported electrode oxygen vacancies

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design and optical performance investigation of all-sprayable ultrablack coating

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Nano Research 2023年第12期16卷 12901-12909页

作者： Chen Shen Huiyong Li Shuai Sun Hui Zhang Lanqin Yan Zhong Zhang CAS Key Laboratory of Nanosystem and Hierarchical Fabrication CAS Center for Excellence in NanoscienceNational Center for Nanoscience and TechnologyBeijing 100190China University of Chinese Academy of Sciences Beijing 100049China Key Lab of Organic Optoelectronics and Molecular Engineering of Ministry of Education Laboratory of Flexible Electronics Technology Department of ChemistryTsinghua UniversityBeijing 100084China CAS Key Laboratory of Mechanical Behavior and Design of Materials Department of Modern MechanicsUniversity of Science and Technology of ChinaHefei 230027China

Although ultrablack surfaces are urgently needed in wide applications owing to their extremely low reflectance over a broadband wavelength,obtaining simultaneously the ultrablackness and mechanical robustness by simple process technique is still a great ***,by decoupling different light extinction effects to different layers of coating,we design an ultrablack coating that is all-sprayable in whole *** coating presents low reflectance over visible–mid-infrared(VIS–MIR)wavelength(av.R≈1%in VIS),low multi-angle scattering(bidirectional reflection distribution function(BRDF)=10-2–10-3 sr-1),together with good substrate adhesion grade and self-cleaning ability,which are superior to most reported sprayable ultrablack *** light extinction effects of each layer are *** method is also applicable in other material systems.

关键词： ultrablack spray-coating carbon nanomaterials multiple scattering intermediate layer

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PCA-W: An Simulation Algorithm for Waterlogging in Ground Point Cloud Based on Principal Component Analysis 3

PCA-W: An Simulation Algorithm for Waterlogging in Ground Po...

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3rd International Conference on Big Data, Information and Computer Network, BDICN 2024

作者： Duan, Yucong Zhang, Yifan Xu, Ziwen Ma, Jie National Key Laboratory of Science and Technology on Multi-spectral Information Processing School of Artificial Intelligence and Automation Huazhong University of Science and Technology Hubei Wuhan China China Ship Development and Design Center Wuhan Hubei China

ISBN: (纸本)9798350363821

In the context of autonomous driving, ground point clouds play an important role in system decision-making. However, in the case of adverse weather, ground point clouds may suffer from a certain degree of missing data, which will have a negative impact on some downstream tasks of autonomous driving. With the development of autonomous driving algorithms, deep learning has achieved better results in this field. However, due to the lack of point cloud data sets under adverse weather conditions, the network cannot be effectively trained. This paper proposes a simulation algorithm for ground point clouds with water accumulation, which simulates the phenomenon of missing data in the ground point clouds due to road water accumulation in adverse weather. As a data augmentation method, it can expand the data set for downstream tasks. We evaluated the method on the STF dataset and proved its effectiveness. © 2024 IEEE.

关键词： Decision making

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