Computational Quantification of Map Projection Distortion by Fractal Dimension of Coastlines

Maps, essential tools for portraying the Earth’s surface, inherently introduce distortions to geographical features. While various quantification methods exist for assessing these distortions, they often fall short when evaluating actual geographic features. In our study, we took a novel approach by analyzing map projection distortion from a geometric perspective. We computed the fractal dimensions of different stretches of coastline before and after projection using the divide-and-conquer algorithm and image processing. Our findings revealed that map projections, even when preserving basic shapes, inevitably stretch and compress coastlines in diverse directions. This analysis method provides a more realistic and practical way to measure map-induced distortions, with significant implications for cartography, geographic information systems (GIS), and geomorphology. By bridging the gap between theoretical analysis and real-world features, this method greatly enhances accuracy and practicality when evaluating map projections.

Study on the Spatial Pattern Changes of Land Use Based on Fractal Dimensions in Tianjin New Coastal Area

[Objective] The aim was to discuss the spatial pattern changes of land use in Tianjin new coastal area based on fractal dimensions.[Method] By dint of remote and geographic information system technology to obtain the data of urban land use in new coastal area from 1993 to 2008,the boundary dimension,radius dimension and information dimension of each land use type were calculated based on fractal dimension.In addition,the revealed land use spatial dimension changes characteristics were analyzed.[Result] The spatial distribution of each land use type in new costal area had distinct fractal characteristics.And,the amount and changes of three types of dimension values effectively revealed the changes of complicatedness,centeredness and evenness of spatial pattern of land use in the study area.The boundary dimension of unused land and salty earth increased incessantly,which suggested its increasing complicatedness.The boundary of the port and wharf and shoal land was getting simpler.The radius dimension of the cultivated land was larger than 2,which suggested that its area spread from center to the surroundings;the one in salty land and waters distributed evenly within different radius space to the center of the city;the one in other land use types reduced gradually from center to the surroundings.The information dimension value in the woodland and orchard land,unused land and shoal land was small,and was in obvious concentrated distribution;the spatial distribution of cultivated and salty land concentrated in the outside area;the construction area in the port and wharf spread gradually on the basis of original state;the spatial distribution of waters and residents and mines were even.[Conclusion] Applying fractal dimensions to the study of spatial pattern changes of urban land use can make up for some disadvantages in classical urban spatial pattern quantitative research,which has favorable practical value.

Automatic generation of assembly dimension chain based on tolerance cell

In the process of generating assembly dimension chain automatically, there are many problems such as complex assembly relationship, variety of constraints of components and complex dimension and tolerance relations of components. These problems lead to many difficulties in search process and need lots of man-machine interaction. Because of these difficulties, this paper presents a method of automatic generation of assembly dimension chain based on tolerance cell. This method is realized through obtaining assembly tolerance cell and part tolerance cell first. These two types of tolerance cell are extracted and expressed in the form of linked list structure in computer further. Then assembly dimension chain is searched automatically based on obtained tolerance cell, and the correct assembly dimension chain is extracted finally. A system of generating assembly dimension chain automatically has been developed based on DELMIA and successfully deployed in aircraft assembly simulation in the engineerine practice.

Novel modeling on numerical computing the geo-deformation information in coalmine based on the GIS-Excel

Numerical simulation modeling is a hotspot in the geological engineering computing field. Tak- ing a fast Langrangian analysis of continua in 3 dimensions （FLAC3D） numerical modeling on com- puting the geo-deformation information caused by the mining subsidence in a coalmine for example, a new GIS-Excel modeling method is proposed to build geologic strata within the simulation range combined with the coal-seam dip angle of the underground mining working-planes. First of all, the coal-seam model of the numerical computing is built by using the geographic information system （GIS） according to the stripe-through principle and the calculating formula on the size of the model blocks in the paper defined, then the FLAC3D numerical computing model of all geologic strata with- in the simulation range is also built based on the calculating formula of thickness of each stratum and the Excel fast computing advantages. The GIS-Excel method is good at the higher modeling accuracy, seldom making mistakes and consuming less time. The reliability and validity of the method is veri- fied well by its practical applications in the coalmine area.

DETECTION METHOD OF SPOT WELDING BASED ON MULTI-INFORMATION FUSION AND FRACTAL

A novel detection method of support vector machine （SVM） based on fractal dimension of signals is presented. And models of SVM are made based on nugget size defects of spot welding. Classification using these trained SVM models is done to signals of spot welding. It is shown from effect of different SVM models that these models with different inputs. In detection of defects, these models with inputs including sound signal have a high percentage of accuracy, the detection accuracy of these models with inputs including voltage signal will reduce. So the SVM models based on fractal dimensions of sound are some optimal nondestructive detection ones. At last a comparison between SVM detection model and ANNS detection model is researched which indicates that SVM is a more effective measure than Artificial neural networks in detection of nugget size defects during spot welding.

A Fourier Series Proof That the Axial like the Transverse Optical Doppler Shift Impacts Time and Information Rates

In writings on relativity time, the various relations are only changed by the transverse shift. This paper proves that the axial Doppler shift does that as well and gives some impacts of that on common differential relations in physics. When a modulated signal lasting a time = T is subjected to an optical Doppler shift K (either axial or transverse or both), where K is shifted frequency/original frequency, the Doppler shifted signal will last T/K. This because all shifted harmonics of its Fourier series (with a fundamental period of T) will last 1/K times the period of the original harmonic. The reader can graph any Fourier series and then graph its shifted series. The reader will see the shifted period is T/K. The Fourier series of the original repeats when time is greater than T and the shifted one when time is greater than T/K, which means the original series only represents the signal from time = 0 to T and the shifted series represents the shifted signal from time = 0 to T/K. Hence, the shifted one has all of the information in T/K as the original has in T. Therefore everything in the series including information is T/K long in the shifted series. Therefore, both the axial and the transverse Doppler shift change time periods in a vacuum, independent of material involved. That has not been obvious for over 100 years the axial shift changes time from the definition of frequency = 1/time.

Construction of Smart Library Based on the Agricultural Information from Metaverse Horizon

Metaverse is a virtual world,but it is possible and even becomes a trend that metaverse interacts with the real world along with the sci-tech and social development.Smart library is a main direction of modern library development,from informatization to digitization and then intelligent-based,modernization of library has been improved qualitatively.Emergence of metaverse brings a brand-new horizon to the generation and application of agricultural information,this paper made primary explorations the requirements and action mechanism of agricultural information on the construction of smart library within the external constraint of metaverse.

Mobile and Context-Aware GeoBI Applications: A Multilevel Model for Structuring and Sharing of Contextual Information

With the requirements for high performance results in the today’s mobile, global, highly competitive, and technology-based business world, business professionals have to get supported by convenient mobile decision support systems (DSS). To give an improved support to mobile business professionals, it is necessary to go further than just allowing a simple remote access to a Business Intelligence platform. In this paper, the need for actual context-aware mobile Geospatial Business Intelligence (GeoBI) systems that can help capture, filter, organize and structure the user mobile context is exposed and justified. Furthermore, since capturing, structuring, and modeling mobile contextual information is still a research issue, a wide inventory of existing research work on context and mobile context is provided. Then, step by step, we methodologically identify relevant contextual information to capture for mobility purposes as well as for BI needs, organize them into context-dimensions, and build a hierarchical mobile GeoBI context model which (1) is geo-spatial-extended, (2) fits with human perception of mobility, (3) takes into account the local context interactions and information-sharing with remote contexts, and (4) matches with the usual hierarchical aggregated structure of BI data.

融合多时间维度视觉与语义信息的图像描述方法

传统的图像描述方法仅使用当前时刻的视觉信息和语义信息来生成预测词,而没有考虑过去时刻的视觉信息和语义信息,从而导致模型输出的信息在时间维度上比较单一,因此生成的描述语句在准确性上有所欠缺。针对此问题,提出一种融合多时间维度视觉与语义信息的图像描述方法,有效地融合了过去时刻的视觉信息和语义信息,并设计一种门控机制动态地对两种信息进行选择利用。在MSCOCO数据集上进行实验验证,结果表明该方法能够更准确地生成描述语句,和当前最主流的图像描述方法进行对比,性能在各项评价指标上都得到了可观的提升。

高分辨率特征保持的头部姿态软阶段回归算法

针对在头部姿态估计推理过程中由于上下采样操作而导致的姿态特征损失问题,提出了一种高分辨率特征保持的头部姿态软阶段回归算法。该算法首先利用编码器HR-Net对原始人脸图像进行高分辨率特征保持的多尺度特征编码,并在其卷积块中加入TA维度交互模块以捕获更多空间与通道之间的交互信息;然后使用解码器SSR-Net算法对HR-Net输出的不同尺度特征图进行关键参数解码和头部姿态软阶段回归,并引入了高效通道注意力ECA以加强特征通道间的信息交互,减少冗余特征。实验结果表明,所提算法在公开数据集AFLW2000和BIWI上均有优秀表现,其MAE分别降低至4.19和3.00。

基于扎根理论的我国图书资料专业职称评审条件的评价维度及导向研究

基于扎根理论,借助质性分析软件NVivo12plus,对我国31个省(自治区、直辖市)的图书资料专业研究馆员职称评审条件文本进行编码分析。抽取出4个基本评价维度:思想政治与道德品质、基本资格、业务水平以及科研水平,梳理出以德为先,优先高学历人员,鼓励长期从事图书资料专业工作,分类评价,关注专业人员工作对社会和行业发挥实际作用,鼓励潜心研究长期沉淀,“重论文”而不“唯论文”的导向,以及重成果轻实效的导向。分析了目前职称评审条件还可能存在加剧职业倦怠,导致馆员职业发展“功利主义”,团队合力难以凝聚等潜在风险。

融合物理信息的多材料模拟学习模型

物理动画(PBA)的目的是通过初始帧信息迭代生成多帧物理现象动画。而现有的基于深度学习的材料模拟模型基本采用编解码器来提高模型的拟合能力,没有充分利用材料本身的物理信息,导致模拟的效率和精度较差。针对该问题,提出了融合物理信息的多材料模拟学习模型(PILMMS)。该模型将整个流程按物理概念分为内部力、外部力和边界处理等多个功能模块。根据对应的物理相关概念和机制对功能模块进行设计,让每个模块通过输入特征融合对应物理信息。而基于卷积网络实现的各个模块能充分利用局部区域信息。此外,卷积模块引入了维度拓宽和缩减。在压缩信息的同时,也保证信息的精度。该模型分别被用于学习液体、沙子、雪等材料,并生成对应结果。经实验验证,该模型具有较强的信息提取能力,并在客观评价指标上都优于现有模型。

量纲统一在滑坡易发性评价中的影响分析

以往的区域性滑坡易发性评价研究多以对比不同评价模型结果和改进模型为主,而忽视了所选致灾因子的信息保留以及因子量纲如何统一的问题。为探究致灾因子的相关性和量纲对易发性评价结果的影响,以甘肃省靖远县北部地区作为研究区,选取高程、坡度、坡向和地形起伏度等12个因子,利用主成分分析提取的新因子参与易发性评价,并采用数据标准化、滑坡密度和信息量值替代法统一致灾因子的量纲,最后基于GIS平台绘制研究区滑坡易发性分区图。通过ROC曲线评估各模型的易发性评价结果精度。结果表明:在信息量模型、逻辑回归模型和感知机模型中,经主成分分析处理的因子得到的模型评价结果精度更高,采用信息量值替代法统一因子的量纲能够进一步提升逻辑回归和感知机模型的评价结果精度;同时,3种评价模型中感知机模型的结果精度最高(AUC=0.9367),优于信息量模型(AUC=0.9173)和逻辑回归模型(AUC=0.9272),是该研究区滑坡易发性评价的理想模型,应优先考虑。研究结果可为类似地区的防灾减灾工作提供基础数据和理论参考。

中国个人信息保护应用与技术进展研究——基于科学知识图谱视角

[目的/意义]大数据时代,公众对个人信息保护的需求日渐多维化,基于科学知识图谱视角分析近十年中国个人信息保护演化趋势与前沿热点有其必要性。[方法/过程]基于文献计量、突现检测、科学知识图谱等多种方式展开分析,以CSSCI和CSCD刊源分别表征应用与技术维度,梳理近十年国内个人信息保护研究的双维度发展趋势。[结果/结论]我国个人信息保护研究文献数量呈现阶段性增长模式;个人、机构的合作方式以内部学术交流、地域性联系为主,多学科交叉格局有待形成;在应用维度上以图情类主导、公共化、数字化为研究趋势;在技术维度上以计算机类主导、精细化、智能化为研究趋势。全民监督与数据共治成为应对大数据时代个人信息保护新挑战的可行之策。

Demonstration of controlled high-dimensional quantum teleportation

Controlled quantum teleportation(CQT), which is regarded as the prelude and backbone for a genuine quantum internet, reveals the cooperation, supervision, and control relationship among the sender, receiver, and controller in the quantum network within the simplest unit. Compared with low-dimensional counterparts, high-dimensional CQT can exhibit larger information transmission capacity and higher superiority of the controller's authority. In this article, we report a proof-of-principle experimental realization of three-dimensional(3D) CQT with a fidelity of 97.4% ± 0.2%. To reduce the complexity of the circuit, we simulate a standard 4-qutrit CQT protocol in a 9×9-dimensional two-photon system with high-quality operations. The corresponding control powers are 48.1% ± 0.2% for teleporting a qutrit and 52.8% ± 0.3% for teleporting a qubit in the experiment, which are both higher than the theoretical value of control power in 2-dimensional CQT protocol(33%). The results fully demonstrate the advantages of high-dimensional multi-partite entangled networks and provide new avenues for constructing complex quantum networks.

基于混沌免疫聚类的网络信息流异常检测方法

为了保证网络安全运行,维持高质量数据储存环境,提出了基于混沌算法的无线网络信息流异常检测方法。根据无线网络异常因素划分信息流异常类型,根据不同信息流异常类型的特点建立无线网络分布模型。基于上述模型将重叠维数与异常信息流相关维度聚类,获得无线网络维度数据。利用异常因素法对已划分的聚类进行属性判定,初始化原始数据和参变量,标注集合内聚簇类别,通过不同阈值实行混沌免疫聚类算法计算,完成网络信息流异常检测。通过实验证明所提方法能够精准检测出异常信息流,且通信开销较低,可保证网络环境安全。

基于扎根理论的服装设计师品牌孵化影响因素研究

在经济迅速发展的当下,消费者个性化的需求为服装设计师品牌的成长与发展提供了土壤,吸引了不少设计师创建和孵化新品牌。本文以我国服装设计师品牌为研究对象,通过访谈及扎根理论方法,探索服装设计师品牌孵化的影响因素,发现影响服装设计师品牌孵化的因素主要包括品牌特征、供应链资源和所选择的营销模式,并探讨了各个因素的构成维度,得出品牌孵化各影响因素之间的关系逻辑,为我国服装设计师品牌孵化提出相应的对策建议,以供参考。

基于GIS+BIM的地铁工程实景三维可视化关键技术及应用

针对地铁工程项目可视化管理中存在的模型精细化不足、数据集成与展示不充分及真实性欠缺等问题,本研究提出了利用GIS和BIM技术作为解决方案,提升地铁工程实景三维建设的效果。首先研究构建了地铁工程实景三维平台的建设框架,分析了数据集成与融合、动态层次加载、模型轻量化与显示等关键技术。随后以深圳地铁14号线工程为案例,进行了实景三维可视化平台的建设与功能应用。案例涵盖了工程建设管理图、空间分析可视化、多视角场景漫游及BIM可视化与属性查询等内容,实现了地铁工程项目多源异构数据与模型的集成,提供了多尺度的实景三维可视化展示,为项目管理与决策提供了有力支持。

二维稳态热传导方程的无监督自适应激活函数物理信息神经网络方法求解

为了解决传统数值方法的不足,使用神经网络求解偏微分方程成为了数值计算领域的研究热点。以二维稳态热传导方程为例,尝试采用基于无监督学习的传统物理信息神经网络(physics-informed neural network,PINN)方法和自适应激活函数PINN方法求解偏微分方程,讨论采样点选取以及网络结构对PINN方法求解精度的影响。结果表明,PINN可以实现二维稳态热传导方程的无监督学习;在传统PINN方法中引入自适应激活函数加快了二维稳态热传导方程求解的速度;采样点选取相较于网络结构对PINN方法求解精度影响更大。因此,自适应激活函数PINN方法相较于传统PINN方法具有速度更快精度更高的优势。

精准思政课:“一核两驱三维四融”模式探索

精准思政课以学生需求为核心(“一核”),以前沿信息技术、机制创新为驱动(“两驱”),以时代发展、现实需求、理论创新为维度(“三维”),以融入思政课堂、智慧校园、实践课程和教师信息化素养为路径(“四融”),是一种契合时代、平衡供需、引领未来的思政课模式。