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Multiobjective Differential Evolution for Higher-Dimensional Multimodal Multiobjective Optimization

IEEE/CAA Journal of Automatica Sinica 2024年第6期11卷 1458-1475页

作者： Jing Liang Hongyu Lin Caitong Yue Ponnuthurai Nagaratnam Suganthan Yaonan Wang School of Electrical and Information engineering Zhengzhou UniversityZhengzhou 450001 School of Electrical engineering and Automation Henan Institute of TechnologyXinxiang 453003China School of Electrical and Information engineering Zhengzhou UniversityZhengzhou 450001China KINDI center for Computing research Qatar UniversityDohaQatarand also with the Nanyang Technology UniversitySingapore College of Electrical and Information engineering and also with the National Engineering Research Center for Robot Visual Perception and Control TechnologyHunan UniversityChangsha 410082China IEEE

In multimodal multiobjective optimization problems(MMOPs),there are several Pareto optimal solutions corre-sponding to the identical objective *** paper proposes a new differential evolution algorithm to solve MMOPs with higher-dimensional decision *** to the increase in the dimensions of decision variables in real-world MMOPs,it is diffi-cult for current multimodal multiobjective optimization evolu-tionary algorithms(MMOEAs)to find multiple Pareto optimal *** proposed algorithm adopts a dual-population framework and an improved environmental selection *** utilizes a convergence archive to help the first population improve the quality of *** improved environmental selection method enables the other population to search the remaining decision space and reserve more Pareto optimal solutions through the information of the first *** combination of these two strategies helps to effectively balance and enhance conver-gence and diversity *** addition,to study the per-formance of the proposed algorithm,a novel set of multimodal multiobjective optimization test functions with extensible decision variables is *** proposed MMOEA is certified to be effective through comparison with six state-of-the-art MMOEAs on the test functions.

关键词： Benchmark functions diversity measure evolution-ary algorithms multimodal multiobjective optimization.

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What benefit can be obtained from magnetic resonance imaging diagnosis with artificial intelligence in prostate cancer compared with clinical assessments?

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Military Medical research 2024年第2期11卷 268-286页

作者： Li-Tao Zhao Zhen-Yu Liu Wan-Fang Xie Li-Zhi Shao Jian Lu Jie Tian Jian-Gang Liu School of engineering Medicine Beihang UniversityBeijing 100191China School of Biological Science and Medical engineering Beihang UniversityBeijing 100191China CAS Key Laboratory of Molecular Imaging Institute of AutomationBeijing 100190China University of Chinese Academy of Sciences Beijing 100080China Department of Urology Peking University Third HospitalPeking UniversityBeijing 100191China Key Laboratory of Big data‑Based Precision Medicine(Beihang University) Ministry of Industry and Information Technology of the People's Republic of ChinaBeijing 100191China Beijing engineering research center of Cardiovascular Wisdom Diagnosis and treatment Beijing 100029China

The present study aimed to explore the potential of artificial intelligence(AI)methodology based on magnetic resonance(MR)images to aid in the management of prostate cancer(PCa).To this end,we reviewed and summarized the studies comparing the diagnostic and predictive performance for PCa between AI and common clinical assessment methods based on MR images and/or clinical characteristics,thereby investigating whether AI methods are generally superior to common clinical assessment methods for the diagnosis and prediction fields of ***,we found that,in the included studies of the present study,AI methods were generally equal to or better than the clinical assessment methods for the risk assessment of PCa,such as risk stratification of prostate lesions and the prediction of therapeutic outcomes or PCa *** particular,for the diagnosis of clinically significant PCa,the AI methods achieved a higher summary receiver operator characteristic curve(SROC-AUC)than that of the clinical assessment methods(0.87 vs.0.82).For the prediction of adverse pathology,the AI methods also achieved a higher SROC-AUC than that of the clinical assessment methods(0.86 vs.0.75).Second,as revealed by the radiomics quality score(RQS),the studies included in the present study presented a relatively high total average RQS of 15.2(11.0–20.0).Further,the scores of the individual RQS elements implied that the AI models in these studies were constructed with relatively perfect and standard radiomics processes,but the exact generalizability and clinical practicality of the AI models should be further validated using higher levels of evidence,such as prospective studies and open-testing datasets.

关键词： Clinically significant prostate cancer Adverse pathology Radiomics quality score Artificial intelligence Magnetic resonance imaging

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Graphene effectively activating "dead" water molecules between manganese dioxide layers in potassium-ion battery

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Journal of Energy Chemistry 2024年第6期93卷 306-315,I0008页

作者： Xinhai Wang Wensheng Yang Shengshang Lu Shangshu Peng Tong Guo Quan Xie Qingquan Xiao Yunjun Ruan Institute of Advanced Optoelectronic Materials and Technology College of Big Data and Information EngineeringGuizhou UniversityGuiyang 550025GuizhouChina

Aqueous potassium-ion batteries(APIBs),recognized as safe and reliable new energy devices,are considered as one of the alternatives to traditional *** MnO_(2),serving as the main cathode,exhibits a lower specific capacity in aqueous electrolytes compared to organic systems and operates through a different reaction *** application of highly conductive graphene may effectively enhance the capacity of APIBs but could complicate the potassium storage *** this study,a MnO_(2) cathode pre-intercalated with K~+ions and grown on graphene(KMO@rGO) was developed using the microwave hydrothermal method for ***@rGO achieved a specific capacity of 90 mA h g^(-1) at a current density of 0.1 A g^(-1),maintaining a capacity retention rate of>90% after 5000 cycles at 5 A g^(-1).In-situ and exsitu characterization techniques revealed the energy-storage mechanism of KMO@rGO:layered MnO_(2)traps a large amount of "dead" water molecules during K~+ions ***,the introduction of graphene enables these water molecules to escape during K~+ ions insertion at the *** galvanostatic intermittent titration technique and density functional theory confirmed that KMO@rGO has a higher K~+ions migration rate than MnO_(2).Therefore,the capacity of this cathode depends on the interaction between dead water and K~+ions during the energy-storage *** optimal structural alignment between layered MnO_(2) and graphene allows electrons to easily flow into the external *** charge compensation forces numerous low-solvent K~+ions to displace interlayer dead water,enhancing the *** unique reaction mechanism is unprecedented in other aqueous battery studies.

关键词： Graphene K-ion batteries Mn-based layered oxide Water molecules Density functional theory

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A Comparison of Four Neural Networks Algorithms on Locomotion Intention Recognition of Lower Limb Exoskeleton Based on Multi-source Information

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Journal of Bionic engineering 2024年第1期21卷 224-235页

作者： Duojin Wang Xiaoping Gu Hongliu Yu Institute of Rehabilitation engineering and Technology University of Shanghai for Science and Technology516 Jungong RoadShanghai 200093China Shanghai engineering research center of Assistive Devices 516 Jungong RoadShanghai 200093China

Lower Limb Exoskeletons(LLEs)are receiving increasing attention for supporting activities of daily *** such active systems,an intelligent controller may be *** this paper,we proposed a locomotion intention recognition system based on time series data sets derived from human motion *** of input data and Deep Learning(DL)algorithms,this framework enables the detection and prediction of users’movement *** makes it possible to predict the detection of locomotion modes,allowing the LLEs to provide smooth and seamless *** pre-processed eight subjects were used as input to classify four scenes:Standing/Walking on Level Ground(S/WOLG),Up the Stairs(US),Down the Stairs(DS),and Walking on Grass(WOG).The result showed that the ResNet performed optimally compared to four algorithms(CNN,CNN-LSTM,ResNet,and ResNet-Att)with an approximate evaluation indicator of 100%.It is expected that the proposed locomotion intention system will significantly improve the safety and the effectiveness of LLE due to its high accuracy and predictive performance.

关键词： Lower limb exoskeletons(LLEs) Locomotion intention ResNet Multi-source

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In-situ growth of MIL-53(Fe)on charcoal sponge as a highly efficient and recyclable photocatalyst for removal of Cr(Ⅵ)

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Rare Metals 2024年第9期43卷 4344-4355页

作者： Zhuo-Fan Yu Ye Yang Hai-Feng Zhuang Sheng-Dao Shan Mihail-Simion Beldean-Galea Qing-Quan Xue Xiao-Feng Shen Shi-Jie Li Key Laboratory of Recycling and Eco-treatment of Waste Biomass of Zhejiang Province School of Environmental and Natural ResourcesZhejiang University of Science and TechnologyHangzhou 310023China Faculty of Environmental Science and engineering Babes-Bolyai University400294 Cluj-NapocaRomania Key Laboratory of Pollution Exposure and Health Intervention of Zhejiang Province Interdisciplinary Research Academy(IRA)Zhejiang Shuren UniversityHangzhou 310015China National engineering research center for Marine Aquaculture Institute of Innovation&ApplicationZhejiang Ocean UniversityZhoushan 316022China

The application of metalDorganic frameworks(MOFs)is hindered by several crucial factors,including low photocatalytic efficiency,poor stability and challenges in *** this study,MIL-53(Fe)was grown in situ on a charcoal sponge(CS)with a large surface area,excellent mechanical properties,and high photocatalytic efficiency using a solvothermal method,thus addressing the above-mentioned shortcomings of MOF ***,CS/MIL-53(Fe)has an amazing light-harvesting capacity in the visible range,leading to a significant improvement in the utilization of *** results of the experiments indicate that CS/MIL-53(Fe)displays a higher photocatalytic activity(87%Cr(Ⅵ))when exposed to visible light than CS(58%)or MIL-53(Fe)(27%),attributing to the increased separation of photogenerated carriers.e-is the main reactive radical and dominates the photocatalytic reduction process,rooting from that e-can reduce Cr(Ⅵ)to low-toxicity Cr(Ⅲ).This study presents a novel method for constructing photocatalysts with large surface areas,superior mechanical characteristics,and enhanced photocatalytic ***,it achieves the resource utilization of agricultural and forestry waste.

关键词： Cr(Ⅵ) Charcoal sponge MIL-53(Fe) Photocatalysis Light absorption

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AIoT for Aircraft Final Assembly:An intelligent and Collaborative Framework

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Journal of Communications and Information Networks 2024年第3期9卷 262-276页

作者： Cheng Ren Xiaojing Wen Xinping Guan Cailian Chen Yehan Ma Department of Automation Shanghai Jiao Tong UniversityShanghai 200240China Key Laboratory of System Control and Information Processing Ministry of Education of ChinaShanghai 200240China Shanghai engineering research center of intelligent Control and Management Shanghai 200240China School of Electronic Information and Electrical engineering Shanghai Jiao Tong UniversityShanghai 200240China

Aircraft final assembly line(AFAL)involves thousands of processes that must be completed before ***,the heavy reliance on manual labor in most assembly processes affects the quality and prolongs the delivery *** the advent of artificial intelligence of things(AIoT)technologies has introduced advancements in certain AFAL scenarios,systematically enhancing the intelligence level of the AFAL and promoting the widespread deployment of artificial intelligence(AI)technologies remain significant *** address these challenges,we propose the intelligent and collaborative aircraft assembly(ICAA)framework,which integrates AI technologies within a cloud-edge-terminal *** ICAA framework is designed to support AI-enabled applications in the AFAL,with the goal of improving assembly efficiency at both individual and multiple process *** analyze specific demands across various assembly scenarios and introduce corresponding AI technologies to meet these *** three-tier ICAA framework consists of the assembly field,edge data platform,and assembly cloud platform,facilitating the collection of heterogeneous terminal data and the deployment of AI *** framework enhances assembly efficiency by reducing reliance on manual labor for individual processes and fostering collaboration across multiple *** provide detailed descriptions of how AI functions at each level of the ***,we apply the ICAA framework to a real AFAL,focusing explicitly on the flight control system testing *** practical implementation demonstrates the effectiveness of the framework in improving assembly efficiency and promoting the adoption of AIoT technologies.

关键词： intelligent aircraft final assembly line AIoT cloud-edge-terminal framework design

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A Mendelian randomisation,propensity score matching study to investigate causal association between serum homocysteine and intracranial aneurysm

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Stroke & Vascular Neurology 2024年第3期9卷 202-211,I0104-I0109页

作者： Zhuohua Wen Xin Feng Xin Tong Chao Peng Anqi Xu Haiyan Fan Yiming Bi Wenchao Liu Zhenjun Li Shenquan Guo Fa Jin Ran Li Yanchao Liu Shixing Su Xin Zhang Xifeng Li Xuying He Aihua Liu Chuanzhi Duan Neurosurgery center Department of Cerebrovascular SurgeryEngineering Technology Research Center of Education Ministry of China on Diagnosis and Treatment of Cerebrovascular DiseaseZhujiang HospitalSouthern Medical UniversityGuangzhouChina Beijing Neurosurgical Institute Beijing Tiantan HospitalCapital Medical UniversityBeijingChina Department of Neurosurgery Guangdong Provincial People's Hospital(Guangdong Academy of Medical Sciences)Southern Medical UniversityGuangzhouChina

Background and purpose Recent observational studies have reported that serum total homocysteine(tHcy)is associated with intracranial aneurysms(IAs).However,the causal effect of tHcy on IAs is *** leveraged large-scale genetic association and real-world data to investigate the causal effect of tHcy on IA *** We performed a two-sample Mendelian randomisation(MR)using publicly available genome-wide association studies summary statistics to investigate the causal relationship between tHcy and IAs,following the recommendations of the Strengthening the Reporting of Observational Studies in Epidemiology-MR ***,a propensity score matching(PSM)analysis was conducted to evaluate the detailed effects of tHcy on risk of IA formation by utilizing real-world multicentre data,including 9902 patients with and without IAs(1:1 matched).Further interaction and subgroup analyses were performed to elucidate how tHcy affects risk of IA *** MR analyses indicated that genetically determined tHcy was causally associated with IA risk(OR,1.38,95%CI 1.07 to 1.79;p=0.018).This is consistent with the more conservative weighted median analysis(OR,1.41,95%CI 1.03 to 1.93;p=0.039).Further sensitivity analyses showed no evidence of horizontal pleiotropy or heterogeneity of single nucleotide polymorphisms in causal *** to the PSM study,we found that,compared with low tHcy(≤15μmol/L),moderate tHcy(>15-30μmol/L)(OR 2.13,95%CI 1.93 to 2.36)and high tHcy(>30μmol/L)(OR 3.66,95%CI 2.71 to 4.95)were associated with a higher IA risk(p trenddata support a causal as

关键词： matching random centre

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CAGCN:Centrality-Aware Graph Convolution Network for Anomaly Detection in Industrial Control Systems

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Journal of Computer Science & Technology 2024年第4期39卷 967-983页

作者： Jun Yang Yi-Qiang Sheng Jin-Lin Wang Hong Ni National Network New Media engineering research center Institute of AcousticsChinese Academy of SciencesBeijing 100190China School of Electronic Electrical and Communication EngineeringUniversity of Chinese Academy of SciencesBeijing 100049China

In industrial control systems,the utilization of deep learning based methods achieves improvements for anomaly ***,most current methods ignore the association of inner components in industrial control *** industrial control systems,an anomaly component may affect the neighboring components;therefore,the connective relationship can help us to detect anomalies *** this paper,we propose a centrality-aware graph convolution network(CAGCN)for anomaly detection in industrial control *** the traditional graph convolution network(GCN)model,we utilize the concept of centrality to enhance the ability of graph convolution networks to deal with the inner relationship in industrial control *** experiments show that compared with GCN,our CAGCN has a better ability to utilize this relationship between components in industrial control *** performances of the model are evaluated on the Secure Water treatment(SWaT)dataset and the Water Distribution(WADI)dataset,the two most common industrial control systems datasets in the field of industrial anomaly *** experimental results show that our CAGCN achieves better results on precision,recall,and F1 score than the state-of-the-art methods.

关键词： graph convolution network(GCN) data mining network centrality anomaly detection industrial control system

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D-scheduler:A scheduler in time-triggered distributed system through decoupling dependencies between tasks and messages

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Science China(Technological Sciences) 2024年第1期67卷 183-196页

作者： YANG TingTing ZHANG YuQi YUE FengLai WUNIRI QiQiGe TONG Chao School of Computer Science&engineering Beihang UniversityBeijing 100191China State Key Laboratory of Virtual Reality Technology and Systems Beihang UniversityBeijing 100191China National Innovation center of intelligent and Connected Vehicles Beijing 100176China

Time-triggered architecture,as a mainstream design of the distributed real-time system,has been successfully applied in the aerospace,automotive and mechanical ***,time-triggered scheduling is a challenging NP-hard *** are few studies that could quickly solve the scheduling problem of large distributed time-triggered *** solve this problem,a communication affinity parameter is defined in this paper to describe the degree of bias of the shaper task towards sending or receiving *** on this,an innovative task-message decoupling model named D-scheduler is built to reduce the computation complexity of the scheduling problem in large-scale ***,we provide mathematical proof that our model is a convex optimization that is easy to solve with existing computational *** experiments substantiate the efficacy of the *** dramatically reduces the scheduling complexity of large-scale real-time systems with a small loss of solving space compared to the federal scheduler.

关键词： time-triggered architecture time-triggered scheduling communication affinity parameter task-message decoupling model

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data Driven Vibration Control:A Review

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IEEE/CAA Journal of Automatica Sinica 2024年第9期11卷 1898-1917页

作者： Weiyi Yang Shuai Li Xin Luo Chongqing Institute of Green and intelligent Technology Chinese Academy of SciencesChongqing 400714 Chongqing School University of Chinese Academy of SciencesChongqing 400714China Faculty of Information Technology and Electrical engineering University of OuluOulu 90570 VTT-Technology research center of Finland Oulu 90570Finlan College of Computer and Information Science Southwest UniversityChongqing 400715China

With the ongoing advancements in sensor networks and data acquisition technologies across various systems like manufacturing,aviation,and healthcare,the data driven vibration control(DDVC)has attracted broad interests from both the industrial and academic *** shaping(IS),as a simple and effective feedforward method,is greatly demanded in DDVC *** convolves the desired input command with impulse sequence without requiring parametric dynamics and the closed-loop system structure,thereby suppressing the residual vibration *** on a thorough investigation into the state-of-the-art DDVC methods,this survey has made the following efforts:1)Introducing the IS theory and typical input shapers;2)Categorizing recent progress of DDVC methods;3)Summarizing commonly adopted metrics for DDVC;and 4)Discussing the engineering applications and future trends of *** doing so,this study provides a systematic and comprehensive overview of existing DDVC methods from designing to optimizing perspectives,aiming at promoting future research regarding this emerging and vital issue.

关键词： data driven vibration control(DDVC) data science designing method feedforward control industrial robot input shaping optimizing method residual vibration

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