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A DoS Attacks Detection Aglorithm Based on Snort-BASE for Robotic Arm Control Systems
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作者 Nana Li Yong Wang +2 位作者 pengfei shen Shuangfei Li Lin Zhou 《Journal of Computer and Communications》 2022年第4期1-13,共13页
In response to the frequent safety accidents of industrial robots, this paper designs and implements a safety detection system for robot control. It can perform real-time security detection of robot operations on indu... In response to the frequent safety accidents of industrial robots, this paper designs and implements a safety detection system for robot control. It can perform real-time security detection of robot operations on industrial production lines to improve the security and reliability of robot control systems. This paper designs and implements a robot control system based Snort-BASE for real-time online detection of DoS attacks. The system uses a six-degree-of-freedom robotic arm as an example, uses Snort to record the network communication data of the robot arm control system in real time, and filters the network traffic through self-defined rules, and then uses the BASE analysis platform to achieve security analysis of the network traffic. The solution verifies the effectiveness of online real-time detection of attacks and visualisation of attack records by designing simulated robotic arm and real robotic arm attack experiments respectively, thus achieving the security of network communication of the robot remote control system. 展开更多
关键词 Robotic Arms Remote Control Systems Cyber Attacks BASE SNORT Security Protection
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Dynamic Gaussian process regression for spatio-temporal data based on local clustering 被引量:1
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作者 Binglin WANG Liang YAN +3 位作者 Qi RONG Jiangtao CHEN pengfei shen Xiaojun DUAN 《Chinese Journal of Aeronautics》 SCIE EI CAS CSCD 2024年第12期245-257,共13页
This paper introduces techniques in Gaussian process regression model for spatiotemporal data collected from complex systems.This study focuses on extracting local structures and then constructing surrogate models bas... This paper introduces techniques in Gaussian process regression model for spatiotemporal data collected from complex systems.This study focuses on extracting local structures and then constructing surrogate models based on Gaussian process assumptions.The proposed Dynamic Gaussian Process Regression(DGPR)consists of a sequence of local surrogate models related to each other.In DGPR,the time-based spatial clustering is carried out to divide the systems into sub-spatio-temporal parts whose interior has similar variation patterns,where the temporal information is used as the prior information for training the spatial-surrogate model.The DGPR is robust and especially suitable for the loosely coupled model structure,also allowing for parallel computation.The numerical results of the test function show the effectiveness of DGPR.Furthermore,the shock tube problem is successfully approximated under different phenomenon complexity. 展开更多
关键词 Gaussian processes Surrogate model Spatio-temporal systems Shock tube problem Local modeling strategy Time-based spatial clustering
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Laser ablation mechanism and performance of glass fiber-reinforced phenolic composites:An experimental study and dual-scale modelling 被引量:1
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作者 Ran BI pengfei shen +4 位作者 Longyu ZHU Zhengzheng MA Chuyang LUO Yongfeng LI Lijian PAN 《Chinese Journal of Aeronautics》 SCIE EI CAS CSCD 2024年第8期470-485,共16页
Both experimental and simulation approaches were employed to investigate the laser ablation mechanism and performances of Glass Fiber Reinforced Phenolic Composites(GFRP).During the ablation process,the difference in ... Both experimental and simulation approaches were employed to investigate the laser ablation mechanism and performances of Glass Fiber Reinforced Phenolic Composites(GFRP).During the ablation process,the difference in thermal conductivities of the glass fibers and the resin matrix as well as their discrepant physical and chemical reactions form a conical ablation morphology.The formation of a residual carbon layer effectively mitigates the ablation rate in the thickness direction.A higher power density results in a faster ablation rate,while a longer irradiation time leads to a larger ablation pit diameter.To account for the variation in thermal conductivity between the fiber and resin,a macro-mesoscale model was developed to differentiate the matrix from the fiber components.Finite element analysis revealed that laser irradiation leads to phenolic decomposition,glass fiber melting vaporization,and residual carbon skeleton evaporation.The dual-scale model exhibits precise prediction capabilities concerning the laser ablation process of GFRP,and its accuracy is confirmed through the comparison of simulation and experimental results for the GFRP laser ablation process.This model provides a feasible method for performance evaluation and lifetime prediction of GFRP subjected to continuous wave laser irradiation. 展开更多
关键词 Polymer-matrix composites Continuous-wave laser Microstructural analysis Ablation mechanism Finite element method
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Mutations in epigenetic regulator KMT2C detected by liquid biopsy are associated with worse survival in prostate cancer patients 被引量:1
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作者 SHA ZHU NANWEI XU +10 位作者 JIAYU LIANG FENGNIAN ZHAO ZILIN WANG YUCHAO NI JINDONG DAI JINGE ZHAO XINGMING ZHANG JUNRU CHEN GUANGXI SUN pengfei shen HAO ZENG 《Oncology Research》 SCIE 2023年第4期605-614,共10页
Background:KMT2(lysine methyltransferase)family enzymes are epigenetic regulators that activate gene transcription.KMT2C is mainly involved in enhancer-associated H3K4me1,and is also one of the top mutated genes in ca... Background:KMT2(lysine methyltransferase)family enzymes are epigenetic regulators that activate gene transcription.KMT2C is mainly involved in enhancer-associated H3K4me1,and is also one of the top mutated genes in cancer(6.6%in pan-cancer).Currently,the clinical significance of KMT2C mutations in prostate cancer is understudied.Methods:We included 221 prostate cancer patients diagnosed between 2014 and 2021 in West China Hospital of Sichuan University with cell-free DNA-based liquid biopsy test results in this study.We investigated the association between KMT2C mutations,other mutations,and pathways.Furthermore,we evaluated the prognostic value of KMT2C mutations,measured by overall survival(OS)and castration resistance-free survival(CRFS).Also,we explored the prognostic value of KMT2C mutations in different patient subgroups.Lastly,we investigated the predictive value of KMT2C mutations in individuals receiving conventional combined anti-androgen blockade(CAB)and abiraterone(ABI)as measured by PSA progression-free survival(PSA-PFS).Results:The KMT2C mutation rate in this cohort is 7.24%(16/221).KMT2C-mutated patients showed worse survival than KMT2C-wild type(WT)patients regarding both CRFS and OS(CRFS:mutated:9.9 vs.WT:22.0 months,p=0.015;OS:mutated:71.9 vs.WT 137.4 months,p=0.012).KMT2C mutations were also an independent risk factor in OS[hazard ratio:3.815(1.461,9.96),p=0.006]in multivariate analyses.Additionally,we explored the association of KMT2C mutations with other genes.This showed that KMT2C mutations were associated with Serine/Threonine-Protein Kinase 11(STK11,p=0.004)and Catenin Beta 1(CTNNB1,p=0.008)mutations.In the CAB treatment,KMT2C-mutated patients had a significantly shorter PSA-PFS compared to KMT2C-WT patients.(PSA-PFS:mutated:9.9 vs.WT:17.6 months,p=0.014).Moreover,KMT2C mutations could effectively predict shorter PSA-PFS in 10 out of 23 subgroups and exhibited a strong trend in the remaining subgroups.Conclusions:KMT2C-mutated patients showed worse survival compared to KMT2C-WT patients in terms of both CRFS and OS,and KMT2C mutations were associated with STK11 and CTNNB1 mutations.Furthermore,KMT2C mutations indicated rapid progression during CAB therapy and could serve as a potential biomarker to predict therapeutic response in prostate cancer. 展开更多
关键词 KMT2C Epigenetic regulator Liquid biopsy Prostate cancer SURVIVAL Biomarker
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Prediction of Superhard BN_(2) with High Energy Density
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作者 Yiming Zhang Shuyi Lin +5 位作者 Min Zou Meixu Liu Meiling Xu pengfei shen Jian Hao Yinwei Li 《Chinese Physics Letters》 SCIE CAS CSCD 2021年第1期125-130,共6页
Considering that pressure-induced formation of short,strong covalent bonds in light-element compounds can produce superhard materials,we employ structure searching and first-principles calculations to predict a new cl... Considering that pressure-induced formation of short,strong covalent bonds in light-element compounds can produce superhard materials,we employ structure searching and first-principles calculations to predict a new class of boron nitrides with a stoichiometry of BN_(2),which are stable relative to alpha-B and alpha-N_(2) at ambient pressure.At ambient pressure,the most stable phase has a layered structure(h-BN_(2)) containing hexagonal BN layers between which there are intercalated N_(2) molecules.At 25 GPa,a three-dimensional P4_(2)/mmc structure with single N-N bonds becomes the most stable.Dynamical,thermal,and mechanical stability calculations reveal that this structure can be recovered under ambient conditions.Its calculated stress-strain relations demonstrate an intrinsic superhard nature with an estimated Vickers hardness of ~43 GPa.This structure has a potentially high energy density of ~4.19 kJ/g. 展开更多
关键词 AMBIENT STRUCTURE HEXAGONAL
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Luteinizing hormone-releasing hormone receptor agonists and antagonists in prostate cancer:effects on long-term survival and combined therapy with next-generation hormonal agents
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作者 Jinge Zhao Junru Chen +2 位作者 Guangxi Sun pengfei shen Hao Zeng 《Cancer Biology & Medicine》 CSCD 2024年第11期1012-1032,共21页
Prostate cancer is a leading cause of cancer-related death in men worldwide.Luteinizing hormone-releasing hormone receptor(LHRH-R)agonists and antagonists are known to achieve castration-level testosterone suppression... Prostate cancer is a leading cause of cancer-related death in men worldwide.Luteinizing hormone-releasing hormone receptor(LHRH-R)agonists and antagonists are known to achieve castration-level testosterone suppression;however,long-term data comparing the survival benefits of these therapies are insufficient to inform treatment decisions.Furthermore,the advent of nextgeneration hormonal agents(NHAs),such as abiraterone and enzalutamide,have shifted the paradigm of managing prostate cancer.Although LHRH-R agonists and antagonists remain the cornerstone treatment across various stages of prostate cancer,they are increasingly administered with NHAs,because the combination treatment confers a survival advantage.Nevertheless,the differences in efficacy and safety profiles among various combinations of LHRH-R agonists and antagonists and NHAs remain unclear.Hence,this narrative review is aimed at providing a comprehensive overview of the long-term outcomes of various LHRH-R agonists and antagonists.Key data from major clinical studies are summarized,categorized by disease stage.LHRH-R agonists and antagonists,particularly goserelin,have demonstrated long-term survival benefits in patients with localized and locally advanced prostate cancer.The clinical outcomes of different LHRH-R agonists and antagonists in combination with NHAs have also been evaluated.Among the various combinations,goserelin plus abiraterone appears to have a manageable safety profile with relatively low rates of hot flushes and fatigue.Overall,long-term survival data and safety profiles should be considered in selecting optimal combination therapies for prostate cancer treatment. 展开更多
关键词 Luteinizing hormone-releasing hormone receptor agonists luteinizing hormone-releasing hormone receptor antagonists prostate cancer long-term survival next-generation hormonal agents
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低维金属卤化物的结构与光学调控:化学合成与物理高压 被引量:1
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作者 申鹏飞 李茜 +3 位作者 罗志山 谭丽 韦祎 权泽卫 《科学通报》 EI CAS CSCD 北大核心 2021年第25期3261-3271,共11页
金属卤化物作为一类新型光电材料,在发光二极管、太阳能电池、光电探测器、激光器等领域具有重要的应用前景.其晶体结构丰富且易被调节,通过在分子尺度上的控制,可由三维(3D)逐渐扩展至二维(2D)、一维(1D)及零维(0D).与三维金属卤化物相... 金属卤化物作为一类新型光电材料,在发光二极管、太阳能电池、光电探测器、激光器等领域具有重要的应用前景.其晶体结构丰富且易被调节,通过在分子尺度上的控制,可由三维(3D)逐渐扩展至二维(2D)、一维(1D)及零维(0D).与三维金属卤化物相比,低维金属卤化物通常展现出更大的结构扭曲、更强的量子限域效应以及显著提升的激子结合能,使其成为在照明和显示领域备受关注的高效发光材料.现阶段,低维金属卤化物结构和光学性调控在依赖于传统化学手段的同时,也能够通过高压等物理手段完成.与传统化学调控手段不同,高压技术能够在不改变化学组分的前提下,对金属卤化物的结构和性能进行连续调制.本文首先介绍了传统化学手段对金属卤化物的结构和光学性质调控,随后讨论了高压技术在金属卤化物结构演变和光学性质优化方面的应用,重点阐述了其结构与光学性能之间的内在联系.本文为发光低维金属卤化物的合理设计与精准合成提供了重要的思路. 展开更多
关键词 低维金属卤化物 光学性质 结构调控 高压
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