检索结果-南通市图书馆

在线全文

同方期刊数据库

学校读者我要写书评

暂无评论

移动端垃圾分类软件设计与实现

福建电脑 2023年第7期39卷 102-105页

作者：陆公正江思源苏州城市学院计算科学与人工智能学院江苏苏州215104 苏州市职业大学计算机工程学院江苏苏州215104

垃圾分类的实施过程中存在配套设施不完善、居民的分类意识浅薄和分类的正确性较低的问题。为了提高垃圾分类的准确度,降低二次分拣成本,本文基于深度学习中的图像识别技术设计和实现了一款移动端垃圾分类软件。该软件分为前端与后端,... 详细信息

垃圾分类的实施过程中存在配套设施不完善、居民的分类意识浅薄和分类的正确性较低的问题。为了提高垃圾分类的准确度,降低二次分拣成本,本文基于深度学习中的图像识别技术设计和实现了一款移动端垃圾分类软件。该软件分为前端与后端,前端向用户提供图像识别、垃圾检索、模型优化等服务,后端响应用户的请求并进行模型的训练。通过对60种垃圾图像的识别结果,识别准确度达54%,说明该软件可以帮助居民提高对生活垃圾分类的准确度。

关键词：图像识别 TensorFlowLite框架垃圾分类神经网络

在线全文

学校读者我要写书评

暂无评论

以大语言模型为核心的校园问答系统

福建电脑 2024年第10期40卷 95-98页

作者：陆公正刘诚志苏州城市学院计算科学与人工智能学院江苏苏州215104

目前,众多学校的信息检索系统存在检索效率低、准确性差的问题。为解决这类问题,本文开发一款智能校园问答系统。首先,利用Scrapy从校园官网爬取文本数据;然后,通过Elasticsearch搜索引擎结构化存储爬取的数据并实现标准索引功能;最后,... 详细信息

目前,众多学校的信息检索系统存在检索效率低、准确性差的问题。为解决这类问题,本文开发一款智能校园问答系统。首先,利用Scrapy从校园官网爬取文本数据;然后,通过Elasticsearch搜索引擎结构化存储爬取的数据并实现标准索引功能;最后,利用大语言模型ChatGLM理解和分析用户输入的问题文本,结合知识图谱技术,提高检索结果准确性。实验结果表明,系统的检索准确性都有较大的提升。

关键词：大语言模型校园问答系统 Elasticsearch搜索引擎爬虫 Vue框架

在线全文

学校读者我要写书评

暂无评论

以赛证融通为导向的软件测试课程改革研究

福建电脑 2022年第3期38卷 37-40页

作者：陆公正刘阅兵周诗竣程媛苏州市职业大学计算机工程学院江苏苏州215104

为了培养高质量的软件测试技能型人才,本文以“赛证融通”为导向,结合全国职业院校技能大赛和Web应用“1+X”认证的相关内容和标准,对现有软件测试课程从教学内容、考核机制、评价体系三个方面进行改革,形成嵌入式的教学内容、递进式的... 详细信息

为了培养高质量的软件测试技能型人才,本文以“赛证融通”为导向,结合全国职业院校技能大赛和Web应用“1+X”认证的相关内容和标准,对现有软件测试课程从教学内容、考核机制、评价体系三个方面进行改革,形成嵌入式的教学内容、递进式的考核机制、过程式的评价体系,并在实践过程中取得了很好的效果。

关键词：全国职业院校技能大赛 “1+X”证书软件测试课程改革

基于众测平台的“软件测试”教学模式改革研究

在线全文

学校读者我要写书评

暂无评论

镇江高专学报 2020年第1期33卷 94-97,120页

作者：陆公正秦思奇张睿施冬梅苏州市职业大学计算机工程学院江苏苏州215104 苏州信息职业技术学院计算机科学与技术系江苏苏州215200

“软件测试”传统教学模式在教学内容安排、教学质量反馈、实践能力培养等方面存在系统性、及时性、针对性、实用性不足的问题。基于众测平台的教学模式可以提升软件测试人才培养质量,满足新工科背景下对应用型人才的需求。

关键词：众测平台软件测试能力培养课堂组织模式课程评价

An embedded electron current layer observed at the edge of the plasma sheet in the Earth’s magnetotail

在线全文

学校读者我要写书评

暂无评论

Earth and Planetary Physics 2025年第1期9卷 148-158页

作者： ChenChen Zhan RongSheng Wang QuanMing lu San lu XinMin Li Deep Space Exploration Laboratory/School of Earth and Space Sciences University of Science and Technology of ChinaHefei 230026China Chinese Academy of Sciences(CAS)Center for Excellence in Comparative Planetology/CAS Key Laboratory of Geospace Environment/Anhui Mengcheng National Geophysical Observatory University of Science and Technology of ChinaHefei 230026China Collaborative Innovation Center of Astronautical Science and Technology Harbin 150001China

The formation of an embedded electron current sheet within the magnetotail plasma sheet has been poorly *** this article,we present an electron current layer detected at the edge of the magnetotail plasma *** ions were demagnetized inside the electron current layer,but the electrons were still frozen in with the magnetic field ***,this decoupling of ions and electrons gave rise to a strong Hall electric field,which could be the reason for the formation of the embedded thin current *** magnetized electrons,the absence of the nongyrotropic electron distribution,and negligible energy dissipation in the layer indicate that magnetic reconnection had not been triggered within the embedded thin current *** highly asymmetric plasma on the two sides of the current layer and low magnetic shear across it could suppress magnetic *** observations indicate that the embedded electric current layer,probably generated by the Hall electric field,even down to electron scale,is not a sufficient condition for magnetic reconnection.

关键词： magnetotail plasma sheet magnetic reconnection

Understanding the local structure and thermophysical behavior of Mg-La liquid alloys via machine learning potential

维普期刊数据库评论

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

International Journal of Minerals,Metallurgy and Materials 2025年第2期32卷 439-449页

作者： Jia Zhao Taixi Feng Guimin lu National Engineering Research Center for Integrated Utilization of Salt Lake Resource East China University of Science and TechnologyShanghai 200237China Joint International Laboratory for Potassium and Lithium Strategic Resources East China University of Science and TechnologyShanghai 200237China

The local structure and thermophysical behavior of Mg-La liquid alloys were in-depth understood using deep potential molecular dynamic(DPMD) simulation driven via machine learning to promote the development of Mg-La alloys. The robustness of the trained deep potential(DP) model was thoroughly evaluated through several aspects, including root-mean-square errors(RMSEs), energy and force data, and structural information comparison results;the results indicate the carefully trained DP model is reliable. The component and temperature dependence of the local structure in the Mg-La liquid alloy was analyzed. The effect of Mg content in the system on the first coordination shell of the atomic pairs is the same as that of temperature. The pre-peak demonstrated in the structure factor indicates the presence of a medium-range ordered structure in the Mg-La liquid alloy, which is particularly pronounced in the 80at% Mg system and disappears at elevated temperatures. The density, self-diffusion coefficient, and shear viscosity for the Mg-La liquid alloy were predicted via DPMD simulation, the evolution patterns with Mg content and temperature were subsequently discussed, and a database was established accordingly. Finally, the mixing enthalpy and elemental activity of the Mg-La liquid alloy at 1200 K were reliably evaluated,which provides new guidance for related studies.

关键词： magnesium-lanthanum liquid alloys local structure macroscopic properties thermodynamic behavior deep potential mo-lecular dynamic simulation

Dynamical complexity of Anosov systems driven by a quasi-periodic force

在线全文

学校读者我要写书评

暂无评论

Science China Mathematics 2025年第1期 89-136页

作者： Wen Huang Zeng Lian Kening lu Department of Mathematics University of Science and Technology of China School of Mathematics Sichuan University

Consider C2Anosov systems on a compact manifold driven by a quasi-periodic *** study their dynamical complexity on various levels from the perspectives of both path-wise dynamics and stochastic *** that these systems are non-wandering（i.e.,every point in the phase space is nonwandering）,we prove a set of results:（1） the existence of abundance of random periodic points;（2） a random Liv?ic theorem;（3） a random Ma?é-Bousch-Conze-Guivarc'h lemma;（4） the existence of strong random ***,a concrete example constructed on a 2-dimensional torus is also given to uncover some interesting phenomena of the systems.

关键词：

同方期刊数据库

Ru doping triggering reconstruction of cobalt phosphide for coupling glycerol electrooxidation with seawater electrolysis

在线全文

学校读者我要写书评

暂无评论

Journal of Energy Chemistry 2025年第1期100卷 317-326页

作者： Binglu Deng Jie Shen Jinxing lu Chuqiang Huang Zhuoyuan Chen Feng Peng Yunpeng Liu School of Materials Science and Hydrogen Energy Foshan University School of Chemistry and Chemical Engineering Guangzhou University Guangdong Key Laboratory for Hydrogen Energy Technologies

Seawater electrolysis is a promising approach for sustainable energy without relying on precious ***,the large-scale seawater electrolysis is hindered by low catalytic efficiency and severe anode corrosion caused by the harmful *** contrast to the oxygen evolution reaction （OER）and chlorin ion oxidation reaction （ClOR）,glycerol oxidation reaction （GOR） is more thermodynamically and kinetically favorable ***,a Ru doping cobalt phosphide （Ru-CoP2） is proposed as a robust bifunctional electrocatalyst for seawater electrolysis and GOR,for the concurrent productions of hydrogen and value-added *** in situ and ex situ characterization analyses demonstrated that Ru doping featured in the dynamic reconstruction process from Ru-CoP2to Ru-CoOOH,accounting for the superior GOR *** coupling GOR with hydrogen evolution was realized by employing Ru-CoP2as both anode and cathode,requiring only a low voltage of 1.43 V at 100 mA cm-2,which was 250 m V lower than that in alkaline *** work guides the design of bifunctional electrocatalysts for energy-efficient seawater electrolysis coupled with biomass resource upcycling.

关键词： Glycerol electrooxidation Hydrogen evolution Ru doping Cobalt phosphide Bifunctional electrocatalysts

A quantum-search-based multi-classifier for image recognition

在线全文

同方期刊数据库

学校读者我要写书评

暂无评论

Science China(Physics,Mechanics & Astronomy) 2025年第1期Mechanics & Astronomy) .卷 21-31页

作者： lu Liu Xingyu Wu lufan Zhang Chuan Wang School of Artificial Intelligence Beijing Normal University Applied Optics Beijing Area Major Laboratory Beijing Normal University

The multi-class classification of images is a pivotal challenge within the realm of image processing. As the volume of visual data continues to expand, there is a burgeoning interest in harnessing the unique capabilities of quantum computation to augment the efficiency of classification tasks. However, many existing methods for training quantum image multi-classifiers parallel classical machine learning techniques, where the requisite circuit measurements increase linearly with the volume of training data. This work introduces a novel approach for training a quantum image multi-classifier based on the quantum search algorithm. We have meticulously conducted rigorous experiments on a handwritten digit dataset, a classic benchmark in the field. The results have been meticulously compared with previous works, and the comparative analysis not only validates the efficiency of our proposed approach, requiring only O(N/b) measurements during training, but also highlights a significant quadratic speedup of the algorithm.

关键词： quantum computation image recognition quantum search algorithm