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Molecular dynamics evaluation of self-diffusion coefficients in two-dimensional dusty plasmas

Chinese Physics B 2025年第4期34卷 457-466页

作者： Muhammad Asif Shakoori Misbah Khan Haipeng Li Aamir Shahzad Maogang He Syed Ali Raza School of Materials Science and Physics China University of Mining and TechnologyXuzhou 221116China Department of Refrigeration and Cryogenic Engineering School of Energy and Power EngineeringXi’an Jiaotong UniversityXi’an 710049China Department of Physics Government College University Faisalabad(GCUF)Allama Iqbal RoadFaisalabad 38000Pakistan Key Laboratory of Thermo-Fluid Science and Engineering of Ministry of Education(MOE) Xi’an Jiaotong UniversityXi’an 710049China School of Electrical Engineering Xi’an Jiaotong UniversityXi’an 710049China

We employ the Green–Kubo(G-K)and Einstein relations to estimate the self-diffusion coefficients(denoted as D_(G)and D_(E),respectively)in two-dimensional(2D)strongly coupled dusty plasmas(SC-DPs)via equilibrium molecular dynamics(EMD)simulations.D_(G)and D_(E)are computed for a broad domain of screening length(κ)and coupling parameters(Г)along with different system *** is observed that both D_(G)and D_(E)decrease linearly with increasing G in warm liquid states and increase with increasingκ.In cold liquid states,the Einstein relation accurately predicts D_(E)in 2D SC-DPs because diffusion motion is close to normal diffusion,but the G-K relation provides overestimations of D_(G),because VACF indicates anomalous diffusion;thus,D_(G)is not *** new simulation outcomes reveal that D_(G)and D_(E)remain independent of system ***,our investigations demonstrate that at higher temperatures,D_(G)and D_(E)converge,suggesting diffusion motion close to normal diffusion,while at lower temperatures,these two values *** find reasonable agreement by comparing current and existing numerical,theoretical and experimental ***,when normalizing diffusion coefficients by the Einstein frequency and testing against the universal temperature scaling law,D_(G)deviates from theoretical curves at low temperatures and k,whereas D_(E)only disagrees with theory at very smallκ(■0.10).These findings provide valuable insight into diagnosing dust component parameters within 2D DP systems and contribute to the broader understanding of diffusion processes in DP environments.

关键词： dusty(complex)plasmas self-diffusion coefficients molecular dynamics simulation Green-Kubo and Einstein relations

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Molecular Generation and Optimization of Molecular Properties Using a Transformer Model

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Big Data Mining and Analytics 2024年第1期7卷 142-155页

作者： Zhongyin Xu xiujuan Lei Mei Ma Yi Pan School of Computer Science Shaanxi Normal UniversityXi'an 710119China Faculty of Computer Science and Control Engineering Shenzhen Institute of Advanced TechnologyChinese Academy of SciencesShenzhen 518055China

Generating novel molecules to satisfy specific properties is a challenging task in modern drug discovery,which requires the optimization of a specific objective based on satisfying chemical ***,we aim to optimize the properties of a specific molecule to satisfy the specific properties of the generated *** Matched Molecular Pairs(MMPs),which contain the source and target molecules,are used herein,and logD and solubility are selected as the optimization *** main innovative work lies in the calculation related to a specific transformer from the perspective of a matrix *** intervals and state changes are then used to encode logD and solubility for subsequent *** the experiments,we screen the data based on the proportion of heavy atoms to all atoms in the groups and select 12365,1503,and 1570 MMPs as the training,validation,and test sets,*** models are compared with the baseline models with respect to their abilities to generate molecules with specific *** show that the transformer model can accurately optimize the source molecules to satisfy specific properties.

关键词： molecular optimization transformer Matched Molecular Pairs(MMPs) logD solubility

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Defending Federated Learning System from Poisoning Attacks via Efficient Unlearning

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computers, Materials & Continua 2025年第4期83卷 239-258页

作者： Long Cai Ke Gu Jiaqi Lei School of Computer and Communication Engineering Changsha University of Science and TechnologyChangsha410114China

Large-scale neural networks-based federated learning(FL)has gained public recognition for its effective capabilities in distributed ***,the open system architecture inherent to federated learning systems raises concerns regarding their vulnerability to potential *** attacks turn into a major menace to federated learning on account of their concealed property and potent destructive *** altering the local model during routine machine learning training,attackers can easily contaminate the global *** detection and aggregation solutions mitigate certain threats,but they are still insufficient to completely eliminate the influence generated by ***,federated unlearning that can remove unreliable models while maintaining the accuracy of the global model has become a *** some existing federated unlearning approaches are rather difficult to be applied in large neural network models because of their high computational ***,we propose SlideFU,an efficient anti-poisoning attack federated unlearning *** primary concept of SlideFU is to employ sliding window to construct the training process,where all operations are confined within the *** design a malicious detection scheme based on principal component analysis(PCA),which calculates the trust factors between compressed models in a low-cost way to eliminate unreliable *** confirming that the global model is under attack,the system activates the federated unlearning process,calibrates the gradients based on the updated direction of the calibration *** on two public datasets demonstrate that our scheme can recover a robust model with extremely high efficiency.

关键词： Federated learning malicious client detection model recovery machine unlearning

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Resonant tunneling diode cellular neural network with memristor coupling and its application in police forensic digital image protection

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Chinese Physics B 2025年第5期34卷 289-301页

作者： Fei Yu Dan Su Shaoqi He Yiya Wu Shankou Zhang Huige Yin School of Computer and Communication Engineering Changsha University of Science and TechnologyChangsha 410114China

Due to their biological interpretability,memristors are widely used to simulate synapses between artificial neural *** a type of neural network whose dynamic behavior can be explained,the coupling of resonant tunneling diode-based cellular neural networks(RTD-CNNs)with memristors has rarely been reported in the ***,this paper designs a coupled RTD-CNN model with memristors(RTD-MCNN),investigating and analyzing the dynamic behavior of the *** on this model,a simple encryption scheme for the protection of digital images in police forensic applications is *** results show that the RTD-MCNN can have two positive Lyapunov exponents,and its output is influenced by the initial values,exhibiting ***,a set of amplitudes in its output sequence is affected by the internal parameters of the memristor,leading to nonlinear ***,the rich dynamic behaviors described above make the RTD-MCNN highly suitable for the design of chaos-based encryption schemes in the field of privacy *** tests and security analyses validate the effectiveness of this scheme.

关键词： memristor hyperchaos resonant tunneling diode-based cellular neural network(RTD-CNN) dynamic analysis image encryption

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Video Colorization:A Survey

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Journal of computer science & technology 2024年第3期39卷 487-508页

作者：彭中正杨艺新唐金辉潘金山 School of Computer Science and Engineering Nanjing University of Science and TechnologyNanjing210094China CCF IEEE ACM

Video colorization aims to add color to grayscale or monochrome *** existing methods have achieved substantial and noteworthy results in the field of image colorization,video colorization presents more formidable obstacles due to the additional necessity for temporal ***,there is rarely a systematic review of video colorization *** this paper,we aim to review existing state-of-the-art video colorization *** addition,maintaining spatial-temporal consistency is pivotal to the process of video *** gain deeper insight into the evolution of existing methods in terms of spatial-temporal consistency,we further review video colorization methods from a novel *** colorization methods can be categorized into four main categories:optical-flow based methods,scribble-based methods,exemplar-based methods,and fully automatic ***,optical-flow based methods rely heavily on accurate optical-flow estimation,scribble-based methods require extensive user interaction and modifications,exemplar-based methods face challenges in obtaining suitable reference images,and fully automatic methods often struggle to meet specific colorization *** also discuss the existing challenges and highlight several future research opportunities worth exploring.

关键词： video colorization deep convolutional neural network spatial-temporal consistency

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Ultrasonic Metal Recognition Based on a Time-Frequency Feature Multi-Scale Fusion Network 24

Ultrasonic Metal Recognition Based on a Time-Frequency Featu...

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14th International Conference on Communication and Network Security, ICCNS 2024

作者： Li, Aiguo Jia, Yanbo School of Computer Science and Technology Xi'an University of Science and Technology Shaanxi Xi'an China

ISBN: (纸本)9798400717994

When identifying metals with the same appearance and material non - destructively, the existing ultrasonic metal identification methods often overlook unknown - class identification, have poorly constructed data sets and limited practicality. This paper proposes an ultrasonic metal identification method based on the multi - scale fusion network of time - frequency features. It uses the multi - head multi - scale residual convolution module to extract and fuse time - frequency features, and combines the attention mechanism to process the fused features, which overcomes the over - fitting problem of a single time - domain feature and improves the generalization ability. An independent data set including training, validation and test sets is constructed. The training and validation sets each contain ultrasonic data of 12 test blocks, and the test set contains 13 classes (the 13th class is 5 test blocks of unknown categories). The test - set data are not used in model training to simulate actual scenarios. Experiments show that this method can efficiently identify metals in the self - built data set, and its effectiveness in classifying long sequences is verified on the UCR data set. © 2024 Copyright held by the owner/author(s). Publication rights licensed to ACM.

关键词： Ultrasonic testing

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Multi-Scene Fire Smoke Detection Algorithm Based on YOLO v8 24

Multi-Scene Fire Smoke Detection Algorithm Based on YOLO v8

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14th International Conference on Communication and Network Security, ICCNS 2024

作者： Li, Aiguo Song, xiaowan School of Computer Science and Technology Xi'an University of Science and Technology Shaanxi Xi'an China

ISBN: (纸本)9798400717994

Aiming at the problems of semi-transparent smoke misdetection and fire missing detection in multi-scene fire smoke detection, a multi-scene fire smoke detection algorithm based on YOLOv8 is proposed. Firstly, deformable convolution DCN V2 is introduced to solve the problems of great difference in size and shape of flame target and high difficulty in detection, so as to achieve full feature extraction. Secondly, dynamic sparse attention is used to filter out irrelevant key-value pairs at the rough area level, so as to enhance the focus on fire. Finally, by fusing generalized feature pyramid GFPN to enrich the multi-scale feature sensing field, further improve the performance of the algorithm and save computational resources. Experimental results show that the precision rate of YOLOv8-FS algorithm is 94.7% mAP50 reaches 96.1% and the model size is only 7.2 MB. The algorithm can balance precision and lightweight, and can meet the requirements of fire detection in complex scenes. © 2024 Copyright held by the owner/author(s). Publication rights licensed to ACM.

关键词： Smoke detectors

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Adaptive Dynamic VSLAM: Refining Semantic-Geometric Fusion and Static Background Inpainting 27th

Adaptive Dynamic VSLAM: Refining Semantic-Geometric Fusion a...

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27th International Conference on Pattern Recognition, ICPR 2024

作者： Mu, Qi Guo, Baizhang Guo, Shuai Li, Zhanli School of Computer Science and Technology Xi’an University of Science and Technology Xi’an710054 China

ISBN: (纸本)9783031781124

To tackle the challenges of adaptability and precision in VSLAM for dynamic environments, we propose a joint refined semantic-geometric approach that improves SLAM’s performance across various dynamic settings. Our method integrates semantic segmentation networks with morphological processing to extract stable boundary features from potential dynamic objects accurately. By restoring depth information and applying geometric constraints that account for camera motion, we facilitate the precise identification and removal of dynamic objects. Additionally, we exploit static scene information to inpaint the background areas occluded by dynamic objects, thus enabling complete scene reconstruction. Quantitative evaluation using dynamic sequences from the TUM dataset reveals a significant reduction in RMSE for both high and low dynamic sequences compared to ORB-SLAM2, DynaSLAM, Yolo-SLAM and Blitz-SLAM. Specifically, there is 95.23%–32.30% decrease in RMSE for high dynamic sequences and 44.7%–5.52% decrease for low dynamic sequences, respectively. These results demonstrate the method’s enhanced adaptability and localization accuracy across different levels of dynamic scenes. Furthermore, the dense reconstruction maps derived from the Static Background Inpainting process offer more complete static scene information than original maps, providing adequate technical support for autonomous localization and mapping of robots in dynamic environments. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2025.

关键词： Semantic Segmentation

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An efficient schedulability analysis based on worst-case interference time for real-time systems

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science China(Information sciences) 2024年第9期67卷 88-104页

作者： Hongbiao LIU Mengfei YANG Lei QIAO xi CHEN Jian GONG School of Computer Science and Technology Xidian University China Academy of Space Technology Beijing Institute of Control Engineering

Real-time systems are widely implemented in the Internet of Things(IoT) and safety-critical systems, both of which have generated enormous social value. Aiming at the classic schedulability analysis problem in real-time systems, we proposed an exact Boolean analysis based on interference(EBAI) for schedulability analysis in real-time systems. EBAI is based on worst-case interference time(WCIT), which considers both the release jitter and blocking time of the task. We improved the efficiency of the three existing tests and provided a comprehensive summary of related research results in the field. Abundant experiments were conducted to compare EBAI with other related results. Our evaluation showed that in certain cases, the runtime gain achieved using our analysis method may exceed 73% compared to the stateof-the-art schedulability test. Furthermore, the benefits obtained from our tests grew with the number of tasks, reaching a level suitable for practical application. EBAI is oriented to the five-tuple real-time task model with stronger expression ability and possesses a low runtime overhead. These characteristics make it applicable in various real-time systems such as spacecraft, autonomous vehicles, industrial robots, and traffic command systems.

关键词： five-tuple real-time task model real-time system spacecraft Internet of Things exact schedulability analysis worst-case interference time

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Optimal regulation of flexible loads in rural residential buildings considering mobile batteries:A case study in Shaanxi Province

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Building Simulation 2024年第7期17卷 1065-1083页

作者： xi Luo Wence Shi School of Building Services Science and Engineering Xi'an University of Architecture and Technology(XAUAT)Xi'an 710055China State Key Laboratory of Green Building Xi'an 710055China

While the grid-connected capacity of rural household photovoltaics is increasing rapidly,achieving dynamic supply-demand matching despite fluctuations in solar energy is *** the rapid development of rural electrification,battery-powered technologies,such as electric vehicles and electric agricultural machinery,are becoming increasingly popular in rural *** this context,utilizing idle mobile batteries to assist in energy storage for rural residential buildings offers a new way to solve the problem of dynamic supply-demand *** this study,a field survey was conducted on several typical fruit-growing villages in the Central Shaanxi Plain in Shaanxi Province of *** rural households were selected to calculate the electricity loads of the residential buildings,with due consideration to the intervention of mobile *** the premise of installing 3 kW household photovoltaic systems in rural households,an economical efficiency-oriented model was built for the optimal regulation of flexible *** results were compared in the context of two patterns of electricity consumption,i.e.,unidirectional charging of mobile batteries from buildings and bidirectional charging and discharging between mobile batteries and *** bidirectional pattern significantly increased the photovoltaic consumption of typical rural households on various typical ***,during both scenarios of not implementing time-of-use and implementing time-of-use,the typical day of the winter slack farming season exhibited the best photovoltaic consumption effect among all types of typical ***,the bidirectional pattern also result in a significant increase in the annual electricity sales revenues for typical rural households.

关键词： demand-side response flexible load mobile battery household photovoltaics

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