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Evolutionary Neural Architecture Search and Its Applications in Healthcare

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Computer Modeling in Engineering & Sciences 2024年第4期139卷 143-185页

作者： Xin liu Jie li Jianwei Zhao Bin Cao Rongge Yan Zhihan Lyu School of Economics and Management Hebei University of TechnologyTianjin300401China School of Artificial Intelligence Hebei University of TechnologyTianjin300401China School of Electrical Engineering Hebei University of TechnologyTianjin300401China Department of Game Design Uppsala UniversityUppsalaS-75105Sweden

Most of the neural network architectures are based on human experience,which requires a long and tedious trial-and-error *** architecture search(NAS)attempts to detect effective architectures without human *** algorithms(EAs)for NAS can find better solutions than human-designed architectures by exploring a large search space for possible *** multiobjective EAs for NAS,optimal neural architectures that meet various performance criteria can be explored and discovered ***,hardware-accelerated NAS methods can improve the efficiency of the *** existing reviews have mainly focused on different strategies to complete NAS,a few studies have explored the use of EAs for *** this paper,we summarize and explore the use of EAs for NAS,as well as large-scale multiobjective optimization strategies and hardware-accelerated NAS *** performs well in healthcare applications,such as medical image analysis,classification of disease diagnosis,and health *** for NAS can automate the search process and optimize multiple objectives simultaneously in a given healthcare *** neural network has been successfully used in healthcare,but it lacks *** data is highly sensitive,and privacy leaks are frequently reported in the healthcare *** solve these problems,in healthcare,we propose an interpretable neuroevolution framework based on federated learning to address search efficiency and privacy ***,we also point out future research directions for evolutionary ***,for researchers who want to use EAs to optimize NNs in healthcare,we analyze the advantages and disadvantages of doing so to provide detailed guidance,and propose an interpretable privacy-preserving framework for healthcare applications.

关键词： Neural architecture search evolutionary computation large-scale multiobjective optimization distributed parallelism healthcare

Artificial selection shapes the lower genomic diversity and higher selective pressures on the sex chromosomes of domestic animals

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Science China(life Sciences) 2024年第5期67卷 1072-1075页

作者： Meiming Wu Dongfeng Wang Meng-Hua li Fenghua Lv College of Animal Science and Technology China Agricultural UniversityBeijing 100193China CAS Key Laboratory of Animal Ecology and Conservation Biology Institute of ZoologyChinese Academy of Science(CAS)Beijing 100101China College of life Sciences University of Chinese Academy of SciencesBeijing 100049China Sanya Institute of China Agricultural University Sanya 572024China

Dear Editor,Sheep and goats were among the earliest domestic animals(Zeder,2008).During the transition from being hunted to being herded,excess males not involved in propagation were slaughtered at young ages under th... 详细信息

关键词： earliest harvest young

A chromosome-level genome assembly of the miiuy croaker(Miichthys miiuy)using nanopore sequencing and Hi-C

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Aquaculture and Fisheries 2024年第2期9卷 218-225页

作者： Tianjun Xu Ye li Weiwei Zheng Yuena Sun Laboratory of Fish Molecular Immunology College of Fisheries and Life ScienceShanghai Ocean UniversityShanghai201306China Laboratory of Marine Biology and Biotechnology Qingdao National Laboratory for Marine Science and TechnologyQingdao266200China Key Laboratory of Exploration and Utilization of Aquatic Genetic Resources(Shanghai Ocean University) Ministry of EducationShanghai201306China National Pathogen Collection Center for Aquatic Animals Shanghai Ocean UniversityShanghai201306China

Miiuy croaker,Miichthys miiuy is an ecologically important teleost species which is widely distributed in southeast coast of *** this study,we present a chromosomal-scale genome assembly of the miiuy croaker which is an important Sciaenidae fish and economical *** adopted Oxford Nanopore and Hi-C sequencing techniques to achieve an assembly with high accuracy and *** investigation of genome characteristic and functional features may provide insights into the study of phylogenetic diversity of miiuy *** study can also be beneficial to improve molecular assisted breeding ***,it can be a great resource to better conduct further study of other sciaenids.

关键词： Miiuy croaker Chromosomal assembly Genome annotation Genome evolution Phylogenetic

Simultaneous measurement of temperature and liquid refractive index based on fiber open Fabry-Pérot cavity and Bragg grating

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Optoelectronics Letters 2024年第8期20卷 477-482页

作者： liU Qinpeng WANG Danyang li Xingrui GAO Hong YU Dakuang College of Science Xi'an Shiyou UniversityXi'an 710065China

A temperature and refractive index sensor based on fiber Bragg grating(FBG)end surface cascade open Fabry-Pérot(FP)cavity has been designed and demonstrated *** open FP cavity has been fabricated on the end face of an FBG by dislocation fusion in this work,the open FP cavity could be used for refractive index sensing,and the temperature is measured by the *** working principle of the sensor and the method of improving the sensitivity are analyzed by theoretical *** refractive index sensitivity of the sensor is 1108.4 nm/RIU,while the maximum fluctuation of the sensor stability experiment detection is 0.005 *** results show that it has satisfactory *** sensor is a compact all-fiber structure,so it has potential applications in the field of temperature refractive index sensing,such as biomedical and capacitor electrolyte detection.

关键词： fiber refractive cavity

DGConv: A Novel Convolutional Neural Network Approach for Weld Seam Depth Image Detection

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Computers, Materials & Continua 2024年第2期78卷 1755-1771页

作者： Pengchao li Fang Xu Jintao Wang Haibing Guo Mingmin liu Zhenjun Du State Key Laboratory of Robotics Shenyang Institute of AutomationChinese Academy of SciencesShenyang110016China Institutes for Robotics and Intelligent Manufacturing Chinese Academy of SciencesShenyang110169China University of Chinese Academy of Sciences Beijing100049China Shenyang SIASUN Robot&Automation Co. Ltd.Shenyang110168China

We propose a novel image segmentation algorithm to tackle the challenge of limited recognition and segmentation performance in identifying welding seam images during robotic intelligent ***,to enhance the capability of deep neural networks in extracting geometric attributes from depth images,we developed a novel deep geometric convolution operator(DGConv).DGConv is utilized to construct a deep local geometric feature extraction module,facilitating a more comprehensive exploration of the intrinsic geometric information within depth ***,we integrate the newly proposed deep geometric feature module with the Fully Convolutional Network(FCN8)to establish a high-performance deep neural network algorithm tailored for depth image ***,we enhance the FCN8 detection head by separating the segmentation and classification *** enhancement significantly boosts the network’s overall detection ***,for a comprehensive assessment of our proposed algorithm and its applicability in real-world industrial settings,we curated a line-scan image dataset featuring weld *** dataset,named the Standardized linear Depth Profile(SLDP)dataset,was collected from actual industrial sites where autonomous robots are in ***,we conducted experiments utilizing the SLDP dataset,achieving an average accuracy of 92.7%.Our proposed approach exhibited a remarkable performance improvement over the prior method on the identical ***,we have successfully deployed the proposed algorithm in genuine industrial environments,fulfilling the prerequisites of unmanned robot operations.

关键词： Weld image detection deep learning semantic segmentation depth map geometric feature extraction

Response of maize growth and soil biological characteristics to planting density under fertigation in a semi-arid region

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International Journal of Agricultural and Biological Engineering 2024年第2期17卷 186-192页

作者： Peng Jiang Lei li Dejia Xu Rui Wang Quan Sun School of Forestry and Prataculture Ningxia UniversityYinchuan 750021China Institute of Agricultural Resources and Environment Ningxia Academy of Agriculture and Forestry SciencesYinchuan 750002China School of Agriculture Ningxia UniversityYinchuan 750021China

Increasing the planting density can exacerbate crop competition for water,nutrients and space which results in a decline in the crop ***,the effect of increasing planting density on crop growth and soil biological characteristics in barren sandy land in the semi-arid regions are still *** this study,we investigated the effects of six planting densities(5.4×10^(4),6.45×10^(4),7.95×10^(4),9.5×10^(4),9.75×10^(4) and 10.5×10^(4) plants/hm^(2))on maize growth,photosynthesis characteristics,yield and soil biological characteristics in barren sandy soil in the semi-arid region of Ningxia,*** results indicated that the stem diameter and spike length decreased linearly with increasing planting *** plant height,spike weight,grain weight and 100-grain weight decreased with increasing plating ***,the root length increased with increasing planting *** diameter,volume and activity increased and then decreased with increasing planting *** was no significant difference(p>0.05)in the effect of planting density on transpiration rate intercellular CO_(2) *** well,the soil microbial biomass carbon and microbial biomass nitrogen decreased with increasing planting *** soil catalase activities increased and then decreased with increasing planting *** alkaline phosphatase activity,the amounts of soil bacteria and actinomycetes increased with increasing planting ***,a moderately increasing planting density can improve maize yield when water and nutrients are *** optimal planting density was 8.29×10^(4) plants/hm^(2) and the highest yield was 15.84 t/hm^(2) in barren sandy soil in semi-arid region of Ningxia,*** study provides a theoretical basis for high yield and high efficiency of maize.

关键词： maize growth planting density yield fertigation soil enzyme activity

Design of multi-section luffing apple pruning equipment and cutting test of the key components

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International Journal of Agricultural and Biological Engineering 2024年第1期17卷 109-117页

作者： Siyuan Tong Wenbin li Yaxiong Wang Lei Zhang Feng Kang School of Technology Beijing Forestry UniversityKey Lab of State Forestry and Grassland Administration for Forestry Equipment and AutomationBeijing 100083China

In order to reduce the labor intensity and improve the efficiency of pruning,this study designed a multi-section luffing apple pruning equipment suitable for apple orchards in hilly and mountainous areas of *** the essay,the structure and working principle of the equipment are expounded,the cutter was analyzed,and the parameters were *** the self-made test bench to simulate the field experiment,this study selected the ratio of cutting speed to feeding speed and feeding speed as the influencing factors and took the cut-off rate,cutting efficiency and cutting power as the objectives to carry out single factor experiment and quadratic regression orthogonal *** test results show that the cutting power increases with the increase of ratio of cutting speed to feeding speed,and the cut-off rate and cutting efficiency first increase and then *** the feeding speed increases,the cutting efficiency and power increase,and the cut-off rate *** the cutoff rate was greater than 80%,the optimal combination of operating parameters was the feeding speed of 0.55 m/s and ratio of cutting speed to feeding speed of *** this combination,the cut-off rate was 84.9%,the cutting efficiency was 13.1,and the cutting power was 175.7 *** error between the predicted target value of the model and the average measured target value was less than 7%,so the test results are *** to the obtained optimal operating parameters,the actual cutting experiment of the pruning equipment in the field was carried out,and the cutting rate was 96.3%,which meet the design *** study can also meet the needs of mechanized pruning of fruit trees with different crown shapes,improve the applicability of pruning equipment,and provide support for the development of mechanized pruning equipment in China.

关键词： apple pruning equipment cutting test optimal parameters regression analysis

Conditions for the enrichment of karst hydrothermal resources in Bohai Bay Basin

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Energy Geoscience

Energy Geoscience 2024年第1期5卷 172-183页

作者： Pengwei li Zhiliang He Zongquan Hu Ying Zhang Jianyun Feng Petroleum Exploration and Production Research Institute SINOPECBeijing100083China SINOPEC Beijing100728China

Drilling for karst hydrothermal resources in eastern China has posed challenges,including disparities between the temperature and yield of geothermal *** is evident that relying solely on geothermal anomalies or indications of karst reservoirs is inadequate for the exploration of karst hydrothermal *** study seeks to elucidate the cause of geothermal sweet spots by analyzing the interplay between geothermal anomalies and karst reservoirs and the underlying geological conditions for karst hydrothermal *** findings include:(1)the Bohai Bay Basin has been geologically favorable for the development of karst hydrothermal resources since the Mesozoic era;(2)the karst hydrothermal enrichment varies significantly between the basin’s margin and its *** the basin margin,the enrichment is largely driven by groundwater activity and faults,particularly where faults facilitate the upwelling of geothermal *** contrast,within the basin’s interior,karst hydrothermal resources are predominantly influenced by buried hills and are especially enriched in areas facilitating the discharge of deep geothermal waters.

关键词： Buried hill Karst hydrothermal resources Enrichment regularity Bohai bay basin

Surface Defect Detection and Evaluation Method of Large Wind Turbine Blades Based on an Improved Deeplabv3+Deep Learning Model

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Structural Durability & Health Monitoring 2024年第5期18卷 553-575页

作者： Wanrun li Wenhai Zhao Tongtong Wang Yongfeng Du Institution of Earthquake Protection and Disaster Mitigation Lanzhou University of TechnologyLanzhou730050China International Research Base on Seismic Mitigation and Isolation of GANSU Province Lanzhou University of TechnologyLanzhou730050China Disaster Prevention and Mitigation Engineering Research Center of Western Civil Engineering Lanzhou University of TechnologyLanzhou730050China

The accumulation of defects on wind turbine blade surfaces can lead to irreversible damage,impacting the aero-dynamic performance of the *** address the challenge of detecting and quantifying surface defects on wind turbine blades,a blade surface defect detection and quantiﬁcation method based on an improved Deeplabv3+deep learning model is ***,an improved method for wind turbine blade surface defect detection,utilizing Mobilenetv2 as the backbone feature extraction network,is proposed based on an original Deeplabv3+deep learning model to address the issue of limited ***,through integrating the concept of pre-trained weights from transfer learning and implementing a freeze training strategy,signiﬁcant improvements have been made to enhance both the training speed and model training accuracy of this deep learning ***,based on segmented blade surface defect images,a method for quantifying blade defects is *** method combines image stitching algorithms to achieve overall quantiﬁcation and risk assessment of the entire *** results show that the improved Deeplabv3+deep learning model reduces training time by approximately 43.03%compared to the original model,while achieving mAP and MIoU values of 96.87%and 96.93%,***,it demonstrates robustness in detecting different surface defects on blades across different *** application of a blade surface defect quantiﬁcation method enables the precise quantiﬁcation of dif-ferent defects and facilitates the assessment of risk levels associated with defect measurements across the entire *** method enables non-contact,long-distance,high-precision detection and quantiﬁcation of surface defects on the blades,providing a reference for assessing surface defects on wind turbine blades.

关键词： Structural health monitoring computer vision blade surface defects detection Deeplabv3+ deep learning model