Construction Activity Analysis of Workers Based on Human Posture Estimation Information

Identifying workers’construction activities or behaviors can enable managers to better monitor labor efficiency and construction progress.However,current activity analysis methods for construction workers rely solely on manual observations and recordings,which consumes considerable time and has high labor costs.Researchers have focused on monitoring on-site construction activities of workers.However,when multiple workers are working together,current research cannot accu rately and automatically identify the construction activity.This research proposes a deep learning framework for the automated analysis of the construction activities of multiple workers.In this framework,multiple deep neural network models are designed and used to complete worker key point extraction,worker tracking,and worker construction activity analysis.The designed framework was tested at an actual construction site,and activity recognition for multiple workers was performed,indicating the feasibility of the framework for the automated monitoring of work efficiency.

Rules-based object-relational databases ontology construction

To solve the problems of shaving and reusing information in the information system, a rules-based ontology constructing approach from object-relational databases is proposed. A 3-tuple ontology constructing model is proposed first. Then, four types of ontology constructing rules including class, property, property characteristics, and property restrictions ave formalized according to the model. Experiment results described in Web ontology language prove that our proposed approach is feasible for applying in the semantic objects project of semantic computing laboratory in UC Irvine. Our approach reduces about twenty percent constructing time compared with the ontology construction from relational databases.

Research on the Curriculum Construction by Promoting Teaching Using Competition Based on Bloom's Taxonomy of Educational Objectives

Based on Bloom's taxonomy of educational objectives,this paper puts forward the construction of curriculum system in the primary stage,intermediate stage and advanced stage by promoting teaching using competition,and provides a theoretical and practical basis for the curriculum construction by promoting teaching using competition,which is of great practical significance to promoting the construction of applied universities.

A Study of the Double Object Construction

Thestudyofthedoubleobjectconstructionhasbeenoneofthetopicsintheliteratureofgenerativegrammar.Themajorquestionsare:1)theCaseproblemsofthetwoobjects;2)therelationbetweenthedoubleobjectconstructionandthedativeconstruction.InGB,Caseisassignedtoanominalun...

Inverse Construction Methods of Heterogeneous NURBS Object Based on Additive Manufacturing

According to the requirement of heterogeneous object modeling in additive manufacturing(AM),the Non-Uniform Rational B-Spline(NURBS)method has been applied to the digital representation of heterogeneous object in this paper.By putting forward the NURBS material data structure and establishing heterogeneous NURBS object model,the accurate mathematical unified representation of analytical and free heterogeneous objects have been realized.With the inverse modeling of heterogeneous NURBS objects,the geometry and material distribution can be better designed to meet the actual needs.Radical Basis Function(RBF)method based on global surface reconstruction and the tensor product surface interpolation method are combined to RBF-NURBS inverse construction method.The geometric and/or material information of regular mesh points is obtained by RBF interpolation of scattered data,and the heterogeneous NURBS surface or object model is obtained by tensor product interpolation.The examples have shown that the heterogeneous objects fitting to scattered data points can be generated effectively by the inverse construction methods in this paper and 3D CAD models for additive manufacturing can be provided.

Language Transfer Evidence in the Acquisition of Double Object Construction by Chinese EFL Learners

Based on the theory of language transfer in second language acquisition, this study explored the dynamic acquisition of English double object construction by Chinese EFL learners through comparative analysis. Altogether 120 subjects participated in this experiment and were required to take the proofreading exercise in limited time. The experimental results showed that Chinese EFL learners at different levels of proficiency acquired the core subclass of double object construction better than peripheral ones;meanwhile, learners at higher levels of proficiency outperformed those at lower levels, especially in the peripheral types. Relevant theoretical interpretations were given thereafter to the above research findings, with the hope to shed some light on the learning of double object construction by Chinese EFL learners.

Construction of Vertical Wind Profile from Satellite-Derived Winds for Objective Analysis of Wind Field

During summer Monex-79, a variety of observing systems viz. research ships, research aircrafts, constant pressure balloons and geostationary satellite etc. were deployed, besides the regular conventional observations. The purpose of these additional systems was to make the best possible data for the studies on various aspects of monsoon circulation. The present study is aimed at the construction of vertical wind profile using cloud motion vectors obtained from GOES (I-O) satellite and to examine whether the constructed wind profiles improves the representation of the monsoon system, flow pattern etc. in the objective analysis. For this purpose, climatological normals of the wind field are considered as the initial guess and the objective analyses of the wind field are made with, first using only data from conventional observations over land areas, subsequently including the constructed winds from cloud motion vectors. These analyses are then compared with the standard analyses of wind field obtained from Quick Look Atlas by T. N. Krishnamurti et al. (1979).It is inferred that satellite estimated mean wind profiles show good agreement with the mean wind profiles of the research ships with RMS errors less than 5 mps below 500 hPa and less than 8 mps above 500 hPa. It is further inferred that the inclusion of constructed winds shows a positive impact on the objective analysis and improvement is seen to be more marked in the data-sparse region of the Arabian sea. Analyses which include the constructed winds show better agreement with the standard analysis, than the analyses obtained using only conventional winds. Thus, results of our study suggest that the wind profiles constructed using cloud motion vectors are of potential use in objective analysis to depict the major circulation features over the Indian region.

盾构施工诱发临近桥梁安全风险评价

针对地铁盾构施工诱发临近桥梁安全风险评估结果不完善、存在失真等问题,提出一种基于变权可拓云模型的盾构施工诱发临近桥梁安全风险评价方法。首先,结合以往研究基础和实际工程经验,建立盾构施工诱发临近桥梁安全事故机理模型,进而确定孕险环境、致险因子和承险体3个1级指标,其中包括有岩土层物理性能参数、隧道工程条件、盾构施工条件、盾构施工参数、施工管理风险、桥梁现状及桥梁自身条件7个2级指标和内摩擦角、弹性模量等27个3级指标为依据建立盾构施工诱发临近桥梁安全风险评价指标体系。其次,通过改进CRITIC客观赋权法获取评价指标权重,并采用变权可拓云模型构建盾构施工诱发临近桥梁安全风险评价模型,其中引入变权理论得到使评价结果更加科学合理的变化权重。最后,对某市轨道交通1号线一期工程Ⅱ标段沿线桥梁进行实例分析。研究结果表明,4座盾构施工临近桥梁安全风险等级分别为Ⅲ、Ⅱ、Ⅱ、Ⅰ级。其中,该施工场地各项土体指标、隧道覆跨比、隧道埋深、隧道直径及桥桩与隧道的相对位置等指标风险较大,即该段隧道盾构施工时对于桥梁自身情况及其施工场地环境需要重点监测,并严格做好周围土体加固等各项技术措施。研究结果可为盾构施工诱发临近桥梁安全风险防控提供科学有效的参考依据。

高质量发展视域下的中小学校本研修现状与改善策略研究

校本研修作为促进教师专业发展的可靠保障,在教育高质量发展的当下备受教育界的关注。对长春地区13个县(市)区的学校、教师抽样调查表明,教师在校本研修中存在思想认识不足、研修目标不够准确,以及学校的相应制度建设短板明显、对教师专业引领的作用发挥不足等问题。基于长期的教育科研实践与观察来分析校本研修实践中存在问题的根源及解决策略,以加大宣传力度、强化理论学习、健全研修制度、加强干预措施、完善教育信息化设备等途径,提升中小学校本研修的成效,提高教师的综合素质和专业水平,能够有效推动教育事业的高质量发展。

基于OBE理念的专业课程目标达成评价研究

当前,许多高校专业课程教学存在教学理念缺失、学习目标描述不清、教学方法和考核评价方式单一等诸多问题,势必影响专业人才培养目标的达成,因此,在工程教育认证驱动下,开展专业课程教学改革非常必要。文章以《汽车构造Ⅰ》课程为例,融合OBE理念,制定课程学习目标,剖析课程目标与毕业要求对应关系,构建考核评价体系,从课程成绩考核和学生问卷调查角度定性定量地开展课程目标达成评价,并提出持续改进措施,以期为应用型专业的课程教学改革提供参考。

数字经济刑法客体的理论构造:安全与发展

全面发展数字经济的既定重大方针,已触发中国式数字经济刑法的萌芽与生长,也开启了传统经济刑法的数字转型。围绕传统经济刑法客体的讨论、分歧与共识,既凸显客体及内容的重要地位,也显示出理论研究的复杂性。尽管可以吸取上述讨论中的“先见”,但更应扎根数字经济,经由数字经济刑法的前提设定新的犯罪客体及其内容。现阶段,侧重围绕数据犯罪的客体论争虽具有一定的现实合理性,却也一定程度上遮蔽了数字经济刑法客体的特定性、整体性与周全性。全面兼顾安全与发展是数字经济的终极追求与价值根基,也应当是数字经济刑法的基本理念与一般规律。围绕数字经济的应用场景,结合数字经济刑法的内外生态,可将安全与发展的保护内容予以具体化、类型化。

多目标免疫的风景园林植物布局规划模型

常规景观植物布局规划模型构建方法主要采用大数据技术,通过构建双层规划模型实现景观园林布局规划目标,无法有效剖析植物景观布局影响因子的作用机制,导致模型求解出的目标值高于实际布局规划方案的目标值。基于多目标免疫算法构建风景园林植物布局规划模型,对植物景观布局的影响因子进行分析,明确其作用机制,以此为数据基础,利用多目标免疫算法提取景观群空间尺度特征信息。基于特征信息提取要素,以景观关联度最高、生态环境破坏度最小和空间利用度最大为目标构建综合景观植物布局规划模型,实现风景园林植物布局的合理规划。以实际公园为测试对象,对构建的景观植物布局规划模型进行性能验证。结果证明:所提模型求解出的风景园林植物布局规划目标值均优于对比方案的目标值,提高了景观关联关系值、降低了生态环境破坏值和空间利用实现最大化。

新农科背景下“Python数据科学导引”公共课程建设

为适应新农科背景下社会对具有数据科学思维的复合型人才的需求,文中通过分析国内外高等院校本科生的数据科学教育现状,详细阐述了国内高等农林院校建设数据科学课程体系的必要性。以内蒙古农业大学为例,在“新农科”背景下,依托计算机公共课程开展数据科学课程建设,具体从课程的教学目标、内容及安排、考核办法、资源建设等方面出发,实现了面向农林专业通识教育的数据科学课程设置与实践,为农林院校培养复合型人才开辟了新思路,也有助于计算机公共课程的进一步发展。

工程认证驱动下应用型高校新工科建设探索--以浙江万里学院电子信息工程专业为例

应用型高校为产业发展建立,它是新工科建设的主力军。工程认证是工科专业建设和教学质量保障的有效途径。针对应用型高校人才培养特点以及工科教学现状,对电子信息工程专业的培养目标、课程体系、实践教学、教学模式和质量保障开展“四方协同”“四元融合”“四阶递进”“四维联动”“四层连环”“四化发展”,六个“四”的新工科建设。实践表明,工程认证驱动的新工科建设培养目标、课程系统更符合新产业、新业态需求,教学模式更适合当代青年学生,教学质量得到有效保障,育人成效更显著。

面向复杂施工环境的实时目标检测算法

针对施工环境下普遍存在的环境杂乱、目标被遮挡、目标尺度范围大、正负样本不平衡、现有检测算法实时性不足等问题,提出一种面向复杂施工环境的实时目标检测算法YOLO-C。将提取到的低层特征与高层特征相融合,增强网络全局感知能力;设计小目标检测层,提高算法对不同尺度目标的检测精度;设计通道-空间注意力(CSA)模块,增强目标特征,抑制背景特征;在损失函数部分,采用VariFocal Loss计算分类损失,解决正负样本不平衡问题;GhostConv作为基本卷积块构建GCSP(Ghost Cross Stage Partial)结构,降低参数量和计算量;针对复杂施工环境,构建混凝土施工现场目标检测数据集,在构建的数据集上与多个算法进行对比分析实验。实验结果表明,YOLO-C算法的检测精度更高,参数量更小,更适合复杂施工环境下的目标检测任务。

数字乡村建设对农民获得感的影响研究

【目的】在界定农民获得感内涵的基础上,探究数字乡村建设对农民获得感的影响机理并提出相应假说。【方法】利用中国家庭追踪调查2018年数据与县域宏观匹配数据实证探究数字乡村建设是否对农民获得感存在影响,结论通过内生性和多种稳健性检验。【结果】1)数字乡村建设对农民获得感具有显著的正向影响,且这种正向影响主要体现在对农民客观获得的维度,而非农民主观获得感的维度;2)区域创新创业活跃度强化了乡村数字基础设施建设对农民客观获得的正向影响;3)数字乡村建设对于经济发展落后地区、受教育程度较低的农民群体获得感的影响更为显著。【结论】加大数字乡村建设投入力度的同时,确保农民作为数字乡村建设的主体地位,推动农民客观获得与主观获得感的双提升。同时,还需注重农民的心理建设,提高区域创新创业水平,因地制宜、因人制宜地精准推进数字乡村发展战略。

基于区域映射深度优化的动态多特征RGBD-SLAM算法

针对RGBD-SLAM在特征提取环节,由深度相机得到的深度图易出现深度不连续以及突然出现动态物体造成轨迹误差增大的问题,提出一种基于区域映射深度优化的动态多特征RGBD-SLAM算法。利用轻量级的语义分割网络获取RGB帧中的语义信息,将得到的语义掩码映射到其对应的深度图像中,并在掩码映射后的区域内进行近邻修复以完成深度图的优化。为减少动态物体对SLAM系统轨迹精度的影响,通过迭代最近点求解相机位姿,结合多视图几何得到物体位姿、运动估计矩阵以及动态视觉误差,进而估计物体运动状态并剔除动态物体。根据双向映射背景修复模型补全剔除区域的静态信息,并进行点线面特征的提取以完成定位与建图的任务。在公开数据集TUM中进行验证,实验结果表明所提算法相较于ORB-SLAM3、RGBD-SLAM、DS-SALM的平均绝对轨迹误差分别减少了78.2%、81.4%以及17.6%,表现了良好的轨迹精度与构图能力。