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Attribute Reduction of Hybrid Decision Information Systems Based on Fuzzy Conditional Information Entropy

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Computers, Materials & Continua 2024年第5期79卷 2063-2083页

作者： Xiaoqin Ma Jun Wang Wenchang Yu Qinli Zhang School of Big data and Artificial Intelligence Chizhou UniversityChizhou247000China Anhui Education Big data intelligent Perception and Application engineering research center Chizhou247000China

The presence of numerous uncertainties in hybrid decision information systems(HDISs)renders attribute reduction a formidable *** available attribute reduction algorithms,including those based on Pawlak attribute importance,Skowron discernibility matrix,and information entropy,struggle to effectively manages multiple uncertainties simultaneously in HDISs like the precise measurement of disparities between nominal attribute values,and attributes with fuzzy boundaries and abnormal *** order to address the aforementioned issues,this paper delves into the study of attribute reduction *** of all,a novel metric based on the decision attribute is introduced to solve the problem of accurately measuring the differences between nominal attribute *** newly introduced distance metric has been christened the supervised distance that can effectively quantify the differences between the nominal attribute ***,based on the newly developed metric,a novel fuzzy relationship is defined from the perspective of“feedback on parity of attribute values to attribute sets”.This new fuzzy relationship serves as a valuable tool in addressing the challenges posed by abnormal attribute ***,leveraging the newly introduced fuzzy relationship,the fuzzy conditional information entropy is defined as a solution to the challenges posed by fuzzy *** effectively quantifies the uncertainty associated with fuzzy attribute values,thereby providing a robust framework for handling fuzzy information in hybrid information ***,an algorithm for attribute reduction utilizing the fuzzy conditional information entropy is *** experimental results on 12 datasets show that the average reduction rate of our algorithm reaches 84.04%,and the classification accuracy is improved by 3.91%compared to the original dataset,and by an average of 11.25%compared to the other 9 state-of-the-art reduction *** comprehensive analysis o

关键词： Hybrid decision information systems fuzzy conditional information entropy attribute reduction fuzzy relationship rough set theory(RST)

Effect of post rolling stress on phase transformation behavior of microalloyed dual phase steel

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Journal of Iron and Steel research International 2024年第3期31卷 688-699页

作者： Wen-quan Sun Sheng-yi Yong Tie-heng Yuan Ting-song Yang An-rui He Chao Liu Rui-chun Guo National engineering research center for Advanced Rolling and intelligent Manufacturing University of Science and Technology BeijingBeijing 100083China

The slow phase transformation of microalloyed dual phase steel makes the nonuniform stress and temperature fields during the post rolling cooling process have a significant impact on the phase transformation *** the relatively slow phase transformation of DP780 steel within the microalloyed dual phase steel series,the influence of stress on the phase transformation behavior of DP780 steel was *** quantify the nonuniform thermal and stress conditions in the steel coil,a thermo-mechanical coupled finite element model of the hot-rolled strip cooling process was *** on the simulation data,DP780 steel was chosen as the research material,and Gleeble 3500 thermal simulation equipment was used for experimental *** thermal expansion curves were analyzed through regression to establish the dynamic model of DP780 steel phase transformation under ***,metallographic analysis was conducted to determine phase transformation type and grain size of DP780 *** results confirmed that the stress promotes the occurrence of semi-diffusion-type bainite ***,an appropriate level of stress facilitates the growth of bainitic grains,while the increased stress inhibits the growth of ferritic grains.

关键词： Microalloyed dual phase steel Stress Bainitic transformation Grain Finite element method

Deep learning-based semantic segmentation of human features in bath scrubbing robots

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Biomimetic Intelligence & Robotics 2024年第1期4卷 70-79页

作者： Chao Zhuang Tianyi Ma Bokai Xuan Cheng Chang Baichuan An Minghuan Yin Hao Sun School of Artificial Intelligence and data Science Hebei University of TechnologyTianjin 300401China engineering research center of intelligent Rehabilitation Device and Detection Technology Ministry of EducationTianjin 300401China

With the rise in the aging population,an increase in the number of semidisabled elderly individuals has been noted,leading to notable challenges in medical and healthcare,exacerbated by a shortage of nursing *** study aims to enhance the human feature recognition capabilities of bath scrubbing robots operating in a water fog *** investigation focuses on semantic segmentation of human features using deep learning ***,3D point cloud data of human bodies with varying sizes are gathered through light detection and ranging to establish human ***,a hybrid filtering algorithm was employed to address the impact of the water fog environment on the modeling and extraction of human ***,the network is refined by integrating the spatial feature extraction module and the channel attention module based on *** results indicate that the algorithm adeptly identifies feature information for 3D human models of diverse body sizes,achieving an overall accuracy of 95.7%.This represents a 4.5%improvement compared with the PointNet network and a 2.5%enhancement over mean intersection over *** conclusion,this study substantially augments the human feature segmentation capabilities,facilitating effective collaboration with bath scrubbing robots for caregiving tasks,thereby possessing significant engineering application value.

关键词： 3D point cloud Human model LiDAR Semantic segmentation

Removal of rubidium from brine by an integrated film of sulfonated polysulfone/graphene/potassium copper ferricyanide

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Chinese Journal of Chemical engineering 2024年第5期69卷 112-121页

作者： Huanxi Xu Peihua Lin Pei-Jun Liu Hai-Gang Liu Hui-Bin Guo Chao-Xiang Wu Ming Fang Xu Zhang Guan-Ping Jin Anhui Province engineering research center of Flexible and intelligent Materials School of Chemistry and Chemical EngineeringHefei University of TechnologyHefei 230009China Chemical Design and research Institute Co. LTD of Qinghai ProvinceQinghai Engineering and Technology Research Center of Fine ChemicalXining 810008China

A novel integrated film of sulfonated polysulfone/graphene/potassium copper ferricyanide(KCuFC/SPSG)was used for selectively extracting rubidium ion(Rb^(+))from *** form KCuFC/SPSG,the precursor film of sulfonated polysulfone/graphene(SPSG)was synthesized by phase conversion process,which was alternately immersed in 0.1 mol·L^(-1)CuSO_(4)/K_(4)[Fe(CN)_(6)]by in-situ adsorption coupled co-precipitation *** data such as nuclear magnetic resonance spectrometer,Fourier transform infrared spectroscope,X-ray photoelectron spectroscope,X-ray diffraction,scanning electron microscope,and energy dispersive spectroscopy all verified that abundant KCuFC were uniformly located on the *** resulting KCuFC/SPSG was used in film separation *** the solution was fed into the system,the Rb^(+)could be selectively adsorption by KCuFC/*** the saturation adsorption,0.5 mol·L^(-1)NH_(4)Cl/HCl was fed into the film cell,Rb^(+)could be quickly desorbed by ion-exchange between Rb^(+)and NH_(4)^(+)in the lattice of *** purpose of separating and recovering Rb^(+)from the brine can be achieved after the repeated *** effects of pH,adsorption time,and interferential ions on the adsorption capacity of Rb^(+)were investigated by batch *** adsorption behavior fits the pseudo-second order kinetic process,while KCuFC has a higher adsorption capacity(Langmuir maximum sorption 165.4 mg·g^(-1)).In addition,KCuFC/SPSG shows excellent selectivity for Rb^(+)even in complex brine ***/SPSG could maintain 93.5%extraction efficiency after five adsorption/desorption cycles.

关键词： Rubidium extraction Potassium copper ferricyanide Sulfonated polysulfone Graphene oxide Adsorption

Spleen volume is associated with overt hepatic encephalopathy after transjugular intrahepatic portosystemic shunt in patients with portal hypertension

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World Journal of Gastrointestinal Surgery 2024年第7期16卷 2054-2064页

作者： Chun-Juan Zhao Chao Ren Zhen Yuan Guo-Hui Bai Jin-Yu Li Long Gao Jin-Hui Li Ze-Qi Duan Dui-Ping Feng Hui Zhang College of Medical Imaging Shanxi Medical UniversityTaiyuan 030001Shanxi ProvinceChina Department of Radiology The First Hospital of Shanxi Medical UniversityTaiyuan 030001Shanxi ProvinceChina Department of Occupational Health School of Public HealthShanxi Key Laboratory of Environmental Health Impairment and PreventionNHC Key Laboratory of PneumoconiosisMOE Key Laboratory of Coal Environmental Pathogenicity and PreventionShanxi Medical UniversityTaiyuan 030001Shanxi ProvinceChina Department of Oncological and Vascular Intervention The First Hospital of Shanxi Medical UniversityTaiyuan 030001Shanxi ProvinceChina shanxi Provincial Clinical research center for Interventional Medicine The First Hospital of Shanxi Medical UniversityTaiyuan 030001Shanxi ProvinceChina First Clinical Medical College Shanxi Medical UniversityTaiyuan 030001Shanxi ProvinceChina shanxi Key Laboratory of intelligent Imaging and Nanomedicine The First Hospital of Shanxi Medical UniversityTaiyuan 030001Shanxi ProvinceChina intelligent Imaging Big data and Functional Nano-imaging engineering research center of shanxi Province The First Hospital of Shanxi Medical UniversityTaiyuan 030001Shanxi ProvinceChina

BACKGROUND Portal shunt and immune status related to the spleen are related to the occurrence of hepatic encephalopathy(HE).It is unknown whether spleen volume before transjugular intrahepatic portosystemic shunt(TIPS)is related to postoperative *** To investigate the relationship between spleen volume and the occurrence of *** This study included 135 patients with liver cirrhosis who underwent TIPS,and liver and spleen volumes were elevated upon computed tomography *** Kaplan-Meier curve was used to compare the difference in the incidence rate of HE among patients with different spleen *** and multivariate Cox regression analyses were performed to identify the factors affecting overt HE(OHE).Restricted cubic spline was used to examine the shapes of the dose-response association between spleen volumes and OHE *** The results showed that 37(27.2%)of 135 patients experienced OHE during a 1-year follow-up *** with preoperative spleen volume(901.30±471.90 cm3),there was a significant decrease in spleen volume after TIPS(697.60±281.0 cm^(3))in OHE *** the severity of OHE increased,the spleen volume significantly decreased(P<0.05).Compared with patients with a spleen volume≥782.4 cm^(3),those with a spleen volume<782.4 cm^(3) had a higher incidence of HE(P<0.05).Cox regression analysis showed that spleen volume was an independent risk factor for post-TIPS OHE(hazard ratio=0.494,P<0.05).Restricted cubic spline model showed that with an increasing spleen volume,OHE risk showed an initial increase and then decrease(P<0.05).CONCLUSION Spleen volume is related to the occurrence of OHE after *** spleen volume is an independent risk factor for post-TIPS OHE.

关键词： Hepatic encephalopathy Transjugular intrahepatic portosystemic shunt Spleen volume Portal hypertension Cirrhosis

Tb(Ⅲ)functionalized MOF based self-calibrating sensor integrated with logic gate operation for efficient epinephrine detection in serum

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Journal of Rare Earths 2024年第5期42卷 987-994,I0006页

作者： Dongsheng Zhao Wenqian Li Rongmei Wen Wencui Li Xin Liu Xiutang Zhang Liming Fan shanxi Key Laboratory of Advanced Carbon Electrode Materials Shanxi Coal Mine Water Treatment Technology Innovation CenterSchool of Chemistry and Chemical EngineeringNorth University of ChinaTaiyuan030051China Key Laboratory of Advanced Energy Materials Chemistry(Ministry of Education) College of ChemistryNankai UniversityTianjin300071China

By anchoring Tb^(3+)ions on its free carboxyl groups of the nanocaged NiMOF,a dual-emission self-calibrating sensor of Tb^(3+)@NiMOF was fabricated through coordination post-synthetic modification(PSM)*** Tb^(3+)ions as the secondary fluorescent signal and sensing active sites,Tb^(3+)@NiMOF presents great potentials in visually and efficiently monitoring EPI in serum,with high sensitivity and selectivity,fast response,excellent recyclable,and the low detection limit(LOD,3.06 ng/mL).Furthermore,a tandem combinational logic gate based intelligent detection system was constructed to improve the practicability and convenience of epinephrine(EPI)detection in serum by comparing the light emitted colour with the series standard colour cards preset in the *** work provides a promising approach of developing metal-organic frameworks(MOFs)based self-calibrating sensors for intelligent detection of bioactive molecules.

关键词： Metal-organic framework Post-synthetic modification Self-calibrating sensor Logic gate operation Epinephrine detection Rare earths

Artificial optical microfingerprints for advanced anticounterfeiting

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Nano research 2024年第5期17卷 4371-4378页

作者： Xueke Pang Qiang Zhang Jingyang Wang Xin Jiang Menglin Wu Mingyue Cui Zhixia Feng Wenxin Xu Bin Song Yao He Suzhou Key Laboratory of Nanotechnology and Biomedicine Institute of Functional Nano&Soft Materials&Collaborative Innovation Center of Suzhou Nano Science and Technology(NANO-CIC)Soochow UniversitySuzhou 215123China School of Sensing Science and engineering Shanghai Engineering Research Center for Intelligent Diagnosis and Treatment InstrumentSchool of Electronic Information and Electrical EngineeringShanghai Jiao Tong UniversityShanghai 200240China

Artificial optical microfingerprints,known as physically unclonable functions(PUFs)offer a groundbreaking approach for ***,these PUFs artificial optical microfingerprints suffer from a limited number of challenge-response pairs,making them vulnerable to machine learning(ML)attacks when additional error-correcting units are *** study presents a pioneering demonstration of artificial optical microfingerprints that combine the advantages of PUFs,a large encoding capacity algorithm,and reliable deep learning authentication against ML *** approach utilizes the triple-mode PUFs,incorporating bright-field,multicolor fluorescence wrinkles,and the topography of surface enhanced Raman scattering in the mechanical and optical ***,the quaternary encoding of these PUFs artificial microfingerprints allows for an encoding capacity of 6.43×10^(24082) and achieves 100%deep learning recognition ***,the PUFs artificial optical microfingerprints exhibit high resilience against ML attacks,facilitated by generative adversarial networks(GAN)(with mean prediction accuracy of~85.0%).The results of this study highlight the potential of utilizing up to three PUFs in conjunction with a GAN training system,paving the way for achieving encoded information that remains resilient to ML attacks.

关键词： artificial microfingerprints physically unclonable functions deep learning anti-counterfeiting

Combining permissioned blockchain and Bayesian best-worst method for transparent supplier selection in supply chain management

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Science China(Technological Sciences) 2024年第8期67卷 2579-2593页

作者： LIU JiaJun ZHANG Jie LENG JieWu Shanghai engineering research center of Industrial Big data and intelligent System Institute of Artificial IntelligenceDonghua UniversityShanghai 201620China State Key Laboratory of Precision Electronic Manufacturing Technology and Equipment Guangdong University of TechnologyGuangzhou 510006China

Supplier selection is an important business activity in order to realize the purchasing function in supply chain *** supplier selection process includes four stages,i.e.,bidding inviting,bidding,group decision-making,and results disclosure,involving the participation of manufacturing service demanders(MSDs),manufacturing service suppliers(MSSs),and ***,all the participants have raised concerns about the increased transparency in supplier ***,this study proposes a transparent supplier selection method by considering the engagement of *** this method,the Bayesian best-worst method(Bayesian BWM)is used to aggregate decision-makers'preferences into the overall optimal weights of the alternative MSSs,and the MSS with the largest weight is considered the suitable MSS for ***,blockchain is introduced to record the decision-making process information about supplier selection through a customized smart contract,where MSSs act as supervisors to supervise the decision-making process through the distributed consensus mechanism rather than directly participate in the decision-making ***,a case study of supplier selection in purchasing vibration acceleration sensors is *** result shows that the proposed method can support MSDs in selecting suitable MSS from alternative MSSs by aggregating decision-makers'preferences,and blockchain can provide credible information about the supplier selection process for MSSs,MSDs,and *** this way,the transparency of supplier selection is enhanced.

关键词： blockchain supplier selection supply chain transparency Bayesian BWM group decision-making

research on concrete structure defect repair based on three-dimensional printing

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Frontiers of Structural and Civil engineering 2024年第5期18卷 731-742页

作者： Yang GU Wei LI Xupeng YAO Guangjun LIU School of Mechanical engineering Tongji UniversityShanghai 201804China College of Civil engineering Tongji UniversityShanghai 200092China Shanghai engineering research center for Safety intelligent Control of Building Machinery Shanghai 200032China

Quality assurance and maintenance play a crucial role in engineering construction,as they have a significant impact on project *** common issue in concrete structures is the presence of *** enhance the automation level of concrete defect repairs,this study proposes a computer vision-based robotic system,which is based on three-dimensional(3D)printing technology to repair *** system integrates multiple sensors such as light detection and ranging(LiDAR)and *** is utilized to model concrete pipelines and obtain geometric parameters regarding their ***,a convolutional neural network(CNN)is employed with a depth camera to locate defects in concrete ***,a method for coordinate transformation is presented to convert the obtained coordinates into executable ones for a robotic ***,the feasibility of this concrete defect repair method is validated through simulation and experiments.

关键词： concrete defect detection 3D printing deep learning point cloud data