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基于DDD和K-Means的汽车服务系统微服务划分方法研究

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新型工业化 2024年第5期14卷 64-73页

作者：李超蔡明高曹愚洪英杰江苏第二师范学院南京210013 一汽(南京)科技开发有限公司南京210013

近年来,随着汽车领域数字化、网络化、智能化的加速发展,传统的软件架构方法面临着巨大挑战。微服务架构因其敏捷性、可伸缩性、灵活性等特性,成为软件工程中流行的一种架构。然而,将汽车服务系统从传统的架构拆分为多个微服务架构缺乏... 详细信息

近年来,随着汽车领域数字化、网络化、智能化的加速发展,传统的软件架构方法面临着巨大挑战。微服务架构因其敏捷性、可伸缩性、灵活性等特性,成为软件工程中流行的一种架构。然而,将汽车服务系统从传统的架构拆分为多个微服务架构缺乏有效的划分标准。针对这一问题,本文提出了一种基于领域驱动设计(domain-driven design,DDD)和K-Means算法的汽车服务系统微服务划分方法。根据微服务的特点和汽车服务业务功能架构,确定业务逻辑与服务的映射关系,进而构建加权图,在此基础上通过K-Means算法得到最优的微服务划分方案。实验结果表明,使用该方法划分的微服务在可靠性、耦合性、容错性、自治性等方面具有一定的优势。

关键词：微服务 DDD K-Means算法

Pseudomonas aeruginosa regulator PvrA binds simultaneously to multiple pseudo-palindromic sites for efficient transcription activation

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Science China(Life Sciences) 2024年第5期67卷 900-912页

作者： Yibo Zhu Bingnan Luo Xingyu Mou yingjie Song Yonghong Zhou Yongbo Luo Bo Sun Youfu Luo hong Tang Zhaoming Su Rui Bao Center of Infectious Diseases Division of Infectious Diseases in State Key Laboratory of BiotherapyWest China HospitalSichuan UniversityChengdu 610041China Department of Geriatrics and National Clinical Research Center for Geriatrics West China HospitalSichuan UniversityChengdu 610041China Key Laboratory of Biodiversity and Environment on the Qinghai-Tibetan Plateau Ministry of EducationSchool of Ecology and EnvironmentTibet UniversityLhasa 850000China Shanghai Advanced Research Institute Chinese Academy of SciencesShanghai 201210China College of Life Science Sichuan Normal UniversityChengdu 610101China Accurate Biotechnology(Hunan)Co. LtdChangsha 410006China

Tetracycline repressor(TetR)family regulators(TFRs)are the largest group of DNA-binding transcription factors and are widely distributed in bacteria and *** play vital roles in controlling the expression of various genes and regulating diverse physiological ***,a TFR protein Pseudomonas virulence regulator A(PvrA),was identified from Pseudomonas aeruginosa as the transcriptional activator of genes involved in fatty acid utilization and bacterial ***,we show that PvrA can simultaneously bind to multiple pseudo-palindromic sites and upregulate the expression levels of target ***-electron microscopy(cryo-EM)analysis indicates the simultaneous DNA recognition mechanism of PvrA and suggests that the bound DNA fragments consist of a distorted B-DNA double *** crystal structure and functional analysis of PvrA reveal a hinge region that secures the correct domain motion for recognition of the promiscuous ***,our results showed that mutations disrupting the regulatory hinge region have differential effects on biofilm formation and pyocyanin biosynthesis,resulting in attenuated bacterial ***,these findings will improve the understanding of the relationship between the structure and function of the TetR family and provide new insights into the mechanism of regulation of *** virulence.

关键词： Pseudomonas aeruginosa transcription regulator TetR protein-structure virulence

Method for the multi-view estimation of fish mass using a two-stage neural network with edge-sensitive module

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International Journal of Agricultural and Biological Engineering 2024年第3期17卷 222-229页

作者： Zeyu Jiao yingjie Cai Qi Zhang Zhenyu Zhong Guangdong Key Laboratory of Modern Control Technology Institute of Intelligent ManufacturingGuangdong Academy of SciencesGuangzhou 510070China Department of Electronic Engineering The Chinese University of Hong KongHong Kong 999077China College of Economics and Management Northwest A&F UniversityYangling 712100ShaanxiChina

The estimation of fish mass is one of the most basic and important tasks in *** the mass of fish at different growth stages is of great significance for feeding,monitoring the health status of fish,and making breeding plans to increase *** existing estimation methods for fish mass often stay in the 2D plane,and it is difficult to obtain the 3D information on fish,which will lead to the *** solve this problem,a multi-view method was proposed to obtain the 3D information of fish and predict the mass of fish through a two-stage neural network with an edge-sensitive *** the first stage,the side-and downward-view images of the fish and some 3D information,such as side area,top area,length,deflection angle,and pitch angle,were captured to estimate the size of the fish through two vertically placed *** the area of the fish at different views was estimated accurately through the pre-trained image segmentation neural network with an edgesensitive *** the second stage,a fully connected neural network was constructed to regress the fish mass based on the 3D information obtained in the previous *** experimental results indicate that the proposed method can accurately estimate the fish mass and outperform the existing estimation methods.

关键词： fish mass multi-view estimation two-stage neural network edge-sensitive module image segmentation

Real-time litchi detection in complex orchard environments: A portable, low-energy edge computing approach for enhanced automated harvesting

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Artificial Intelligence in Agriculture 2024年第1期11卷 13-22页

作者： Zeyu Jiao Kai Huang Qun Wang Zhenyu Zhong yingjie Cai Guangdong Key Laboratory of Modern Control Technology Institute of Intelligent ManufacturingGuangdong Academy of SciencesGuangzhouChina School of Economics and Management Beihang UniversityBeijingChina Department of Electronic Engineering The Chinese University of Hong KongHong Kong

Litchi,a succulent and perishable fruit,presents a narrow annual harvest window of under two *** advent of smart agriculture has driven the adoption of visually-guided,automated litchi harvesting ***,conventional approaches typically rely on laboratory-based,high-performance computing equipment,which presents challenges in terms of size,energy consumption,and practical application within litchi *** address these limitations,we propose a real-time litchi detection methodology for complex environments,utilizing portable,low-energy edge computing ***,the litchi orchard imagery is collected to enhance data ***,a convolutional neural network(CNN)-based single-stage detector,YOLOx,is constructed to accurately pinpoint litchi fruit locations within the *** facilitate deployment on portable,low-energy edge devices,we employed channel pruning and layer pruning algorithms to compress the trained model,reducing its size and ***,the knowledge distillation technique is harnessed to fine-tune the *** findings demonstrated that our proposed method achieved a 97.1%compression rate,yielding a compact litchi detection model of a mere 6.9 MB,while maintaining 94.9%average precision and 97.2%average *** 99 frames per second(FPS),the method exhibited a 1.8-fold increase in speed compared to the unprocessed ***,our approach can be readily integrated into portable,low-computational automatic harvesting equipment,ensuring real-time,precise litchi detection within orchard settings.

关键词： Litchi detection Automated harvesting Edge computing Neural networks Model compression

Whole-exome sequencing identified novel DNAH5 homozygous variants in two consanguineous families with primary ciliary dyskinesia

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中华医学杂志(英文版) 2024年第1期137卷 115-116页

作者： Yang Binyi Lei Cheng Xu yingjie Yang Danhui Lu Chenyang Liu Ying Guo Ting Luo hong Department of Pulmonary and Critical Care Medicine The Second Xiangya Hospital 3. Central South University 4. Changsha 5. Hunan 410011 6. China

Primary ciliary dyskinesia (PCD) is a rare autosomal recessive inherited disease characterized by dysfunction of the motile cilia. DNAH5, the most frequently mutated gene in PCD, encodes a heavy chain of the ciliary outer dynein arms (ODAs). Herein, we report two patients with Kartagener syndrome (sinusitis, bronchiectasis, and situs inversus) in two consanguineous families carrying two novel homozygous DNAH5 variants [Supplementary Figures 1A and 1B, http://***/CM9/B598].

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Research on Underwater Navigation and Positioning Method Based on Sea Surface Buoys and Undersea Beacons

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Research on Underwater Navigation and Positioning Method Bas...

Performance Evaluation of Spaceborne Atomic Clock for BDS-3 Basic System

第十一届中国卫星导航年会

作者： Wei Zhai Jiali Wu Yaru Chen Zengzeng Jing Guang Sun yingjie hong Yi Fan Shunxi Fan Xi’an Aerors Data Technology Co.Ltd Xi’an Institute of Optics and Precision Mechanics of Cas

When underwater vehicles and underwater robots are used for underwater tasks such as resource sampling,environmental exploration and wreck salvage,the positioning system is capable of reflecting the l

关键词： Underwater vehicle Positioning RTK Undersea beacons

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Performance Evaluation of Spaceborne Atomic Clock for BDS-3 ...

温度对考虑黏弹性的钢-橡胶对滚结构动态力学特性的影响

第十一届中国卫星导航年会

作者： Guang Sun Lirong Shen Tongyuan Zou Xiaolin Jia Xiaogang Liu Meijun Guo Wei Zhai yingjie hong Jiali Wu Xi’an Aerors Data Technology Co.Ltd School of Aerospace Science and Technology Xidian University Xi’an Research Institute of Surveying and Mapping Xi’an Institute of Optic and Precision Mechanics of Cas

At present, China’s BDS-3 basic system has been completed and started to provide global services. However, the accuracy of satellite clock difference seriously restricts the service performance of BDS

关键词： BDS spaceborne atomic clock clock model Spectrum analysis Periodic characteristic

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北京工业大学学报 2021年第10期47卷 1104-1112页

作者：初红艳王瑞陈其洪英洁先进制造技术北京市重点实验室北京100124 北京工业大学先进制造与智能技术研究所北京100124

为研究温度对考虑黏弹性的钢-橡胶对滚结构的动态力学特性的影响,通过钢-橡胶对滚结构实验平台进行钢-橡胶对滚结构动态力学特性实验,测得在连续转动过程中橡胶辊的温度变化以及压深变形量、接触宽度等,分析温度对橡胶辊压深变形量及接... 详细信息

为研究温度对考虑黏弹性的钢-橡胶对滚结构的动态力学特性的影响,通过钢-橡胶对滚结构实验平台进行钢-橡胶对滚结构动态力学特性实验,测得在连续转动过程中橡胶辊的温度变化以及压深变形量、接触宽度等,分析温度对橡胶辊压深变形量及接触宽度的影响.采用与实验平台橡胶辊相同材料的圆盘形试样进行动态热分析实验,得到不同温度下的橡胶应力松弛曲线以及不同频率下的损耗因子;基于此实验数据,对橡胶材料进行本构模型参数辨识,得到不同温度下超弹、黏弹参数;最后对钢-橡胶对滚结构进行不同温度下的瞬态动力学仿真,讨论橡胶辊的黏弹性强弱与温度的关系,分析不同温度下橡胶辊的压深变形量、接触宽度、von Mises应力应变、接触压力以及接触刚度等特性.结果表明:橡胶辊的黏弹性程度随温度的升高而减弱;温度对橡胶辊动态力学特性的显著影响表现在von Mises应力、接触压力及接触刚度随温度的升高而减小,von Mises应变、压深变形量及接触宽度随温度的升高而增大.

关键词：橡胶对滚结构本构模型温度黏弹性动态力学特性

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再生稻收割机的视觉导航路径检测方法

福建农林大学学报（自然科学版） 2017年第3期46卷 356-360页

作者：郭翰林洪瑛杰张翔林建福建农林大学机电工程学院福建福州350002

采用机器视觉技术研究再生稻收割机导航路径检测方法.根据农田再生稻图像特点,基于HSV空间的S分量结合Otsu算法得到初始分割阈值T;为更好地保留不同成熟度再生稻植株特征,加入修正因子-a,得到分割阈值T-a二值化图像.将土壤路径从再生稻... 详细信息

采用机器视觉技术研究再生稻收割机导航路径检测方法.根据农田再生稻图像特点,基于HSV空间的S分量结合Otsu算法得到初始分割阈值T;为更好地保留不同成熟度再生稻植株特征,加入修正因子-a,得到分割阈值T-a二值化图像.将土壤路径从再生稻植株中分割出来,根据形成的植株左右边界区域特征,提出逐行扫描图像动态检测导航路径的中间离散点集,利用基于已知点的Hough变换检测出稻桩行间导航路径.结果表明:处理一幅像素419×310的图像平均耗时0.064 s,具有较好的实时性,对稻叶交叠现象具有较强的适应性,拟合的导航线符合人眼视觉感官判断.

关键词：再生稻农田环境视觉导航 Hough变换直线检测