Asymmetric image encryption algorithm based on a new three-dimensional improved logistic chaotic map

Based on some analyses of existing chaotic image encryption frameworks and a new designed three-dimensional improved logistic chaotic map(3D-ILM),an asymmetric image encryption algorithm using public-key Rivest–Shamir–Adleman(RSA)is presented in this paper.In the first stage,a new 3D-ILM is proposed to enhance the chaotic behavior considering analysis of time sequence,Lyapunov exponent,and Shannon entropy.In the second stage,combined with the public key RSA algorithm,a new key acquisition mathematical model(MKA)is constructed to obtain the initial keys for the 3D-ILM.Consequently,the key stream can be produced depending on the plain image for a higher security.Moreover,a novel process model(NPM)for the input of the 3D-ILM is built,which is built to improve the distribution uniformity of the chaotic sequence.In the third stage,to encrypt the plain image,a pre-process by exclusive OR(XOR)operation with a random matrix is applied.Then,the pre-processed image is performed by a permutation for rows,a downward modulo function for adjacent pixels,a permutation for columns,a forward direction XOR addition-modulo diffusion,and a backward direction XOR addition-modulo diffusion to achieve the final cipher image.Moreover,experiments show that the the proposed algorithm has a better performance.Especially,the number of pixels change rate(NPCR)is close to ideal case 99.6094%,with the unified average changing intensity(UACI)close to 33.4634%,and the information entropy(IE)close to 8.

Design and Realization of Block Level Augmented Reality Three-Dimensional Map

In response to the construction needs of “Real 3D China”, the system structure, functional framework, application direction and product form of block level augmented reality three-dimensional map is designed. Those provide references and ideas for the later large-scale production of augmented reality three-dimensional map. The augmented reality three-dimensional map is produced based on skyline software. Including the map browsing, measurement and analysis and so on, the basic function of three-dimensional map is realized. The special functional module including housing management, pipeline management and so on is developed combining the need of residential quarters development, that expands the application fields of augmented reality three-dimensional map. Those lay the groundwork for the application of augmented reality three-dimensional map. .

A modified method of discontinuity trace mapping using three-dimensional point clouds of rock mass surfaces

This paper presents an automated method for discontinuity trace mapping using three-dimensional point clouds of rock mass surfaces.Specifically,the method consists of five steps:(1)detection of trace feature points by normal tensor voting theory,(2)co ntraction of trace feature points,(3)connection of trace feature points,(4)linearization of trace segments,and(5)connection of trace segments.A sensitivity analysis was then conducted to identify the optimal parameters of the proposed method.Three field cases,a natural rock mass outcrop and two excavated rock tunnel surfaces,were analyzed using the proposed method to evaluate its validity and efficiency.The results show that the proposed method is more efficient and accurate than the traditional trace mapping method,and the efficiency enhancement is more robust as the number of feature points increases.

Three-dimensional computed tomography mapping of posterior malleolar fractures

BACKGROUND Posterior malleolar fractures have been reported to occur in<40%of ankle fractures.AIM To reveal the recurrent patterns and characteristics of posterior malleolar fractures by creating fracture maps of the posterior malleolar fractures through the use of computed tomography mapping.METHODS A consecutive series of posterior malleolar fractures was used to create threedimensional reconstruction images,which were oriented and superimposed to fit an ankle model template by both aligning specific biolandmarks and reducing reconstructed fracture fragments.Fracture lines were found and traced in order to generate an ankle fracture map.RESULTS This study involved 112 patients with a mean age of 49,comprising 32 pronationexternal rotation grade IV fractures and 80 supination-external rotation grade IV fractures according to the Lauge-Hansen classification system.Three-dimensional maps showed that the posterior ankle fracture fragments in the supinationexternal rotation grade IV group were relatively smaller than those in the pronation-external rotation grade IV group after posterior malleolus fracture.In addition,the distribution analyses on posterior malleolus fracture lines indicated that the supination-external rotation grade IV group tended to have higher linear density but more concentrated and orderly distribution fractures compared to the pronation-external rotation grade IV group.CONCLUSION Fracture maps revealed the fracture characteristics and recurrent patterns of posterior malleolar fractures,which might help to improve the understanding of ankle fracture as well as increase opportunities for follow-up research and aid clinical decision-making.

A situation awareness assessment method based on fuzzy cognitive maps

The status of an operator’s situation awareness is one of the critical factors that influence the quality of the missions.Thus the measurement method of the situation awareness status is an important topic to research.So far,there are lots of methods designed for the measurement of situation awareness status,but there is no model that can measure it accurately in real-time,so this work is conducted to deal with such a gap.Firstly,collect the relevant physiological data of operators while they are performing a specific mission,simultaneously,measure their status of situation awareness by using the situation awareness global assessment technique(SAGAT),which is known for accuracy but cannot be used in real-time.And then,after the preprocessing of the raw data,use the physiological data as features,the SAGAT’s results as a label to train a fuzzy cognitive map(FCM),which is an explainable and powerful intelligent model.Also,a hybrid learning algorithm of particle swarm optimization(PSO)and gradient descent is proposed for the FCM training.The final results show that the learned FCM can assess the status of situation awareness accurately in real-time,and the proposed hybrid learning algorithm has better efficiency and accuracy.

Optimization method for a radar situation interface from error-cognition to information feature mapping

With the rapid development of digital and intelligent information systems, display of radar situation interface has become an important challenge in the field of human-computer interaction. We propose a method for the optimization of radar situation interface from error-cognition through the mapping of information characteristics. A mapping method of matrix description is adopted to analyze the association properties between error-cognition sets and design information sets. Based on the mapping relationship between the domain of error-cognition and the domain of design information, a cross-correlational analysis is carried out between error-cognition and design information.We obtain the relationship matrix between the error-cognition of correlation between design information and the degree of importance among design information. Taking the task interface of a warfare navigation display as an example, error factors and the features of design information are extracted. Based on the results, we also propose an optimization design scheme for the radar situation interface.

Balanced Functional Maps for Three-Dimensional Non-Rigid Shape Registration

Three-dimensional(3D)shape registration is a challenging problem,especially for shapes under non-rigid transformations.In this paper,a 3D non-rigid shape registration method is proposed,called balanced functional maps(BFM).The BFM algorithm generalizes the point-based correspondence to functions.By choosing the Laplace-Beltrami eigenfunctions as the function basis,the transformations between shapes can be represented by the functional map(FM)matrix.In addition,many constraints on shape registration,such as the feature descriptor,keypoint,and salient region correspondence,can be formulated linearly using the matrix.By bi-directionally searching for the nearest neighbors of points’indicator functions in the function space,the point-based correspondence can be derived from FMs.We conducted several experiments on the Topology and Orchestration Specification for Cloud Applications(TOSCA)dataset and the Shape Completion and Animation of People(SCAPE)dataset.Experimental results show that the proposed BFM algorithm is effective and has superior performance than the state-of-the-art methods on both datasets.

Application of Three-dimensional Laser Scanning Technology in the Teaching Practice of Surveying and Mapping of Ancient Buildings

Based on the study of the application of three-dimensional laser scanning technology in ancient building surveying and mapping,this paper briefly describes the working principle and flow of three-dimensional laser scanning technology.Based on the practical application,this paper puts forward the discussion of related problems and matters needing attention.This has a certain reference significance for the study of new technology in surveying and mapping of ancient buildings.

CRITICAL ENVIRONMENTAL SITUATION IN THE MIDDLE REACHES OF THE YELLOW RIVER IN CHINA

This paper researches and analyses the critical envirormental situation in the Middle Reaches of the Yellow River and compiles the map of critical environmental situation of this area (1:2,000,000). Five types of environmental situation (ES) are divided, namely, conflict ES, critical ES, crisis ES, disastrous ES and accidental ES and 7 groups of main factors are used to identify and classify the critical environmental situation after considering the speciality of this region and the law of guiding factors. They are pollution, endemic disease, soil erosion, drought and water-shortage, forest degeration, wind-erosion and desertification, and soil salinization. Based on mapping and analysis, the paper also concludes the regional distribution law of critical environmental situation of this region and divides it into 8 small districts through combining the critical envirormental situation, regional distribution law and guiding factors. This can provide scientific basis and reference for preserving and renovating the environments with different fragile types and fragile levels.

Online Teaching Practice under the Epidemic Situation of Novel Coronavirus Pneumonia

In the context of preventing and controlling novel coronavirus pneumonia,how to ensure the quality of higher education has become a hot issue of social concern in China.In this article,the problems and challenges are analyzed from teacher,student and technology levels,the teaching pattern of"re-flipped classroom"and the teaching model of"SPOC+MOOC+live broadcast"are proposed,the three teaching methods of PBL,OBE and mind mapping are integrated,the teaching evaluation is introduced to teaching design,and finally,the implementation suggestions are put forward to ensure the quality of teaching.

基于MapGIS的土地利用现状图绘制

土地利用现状图作为土地调查工作的一项成果,具有十分重要的意义。而MapGIS是通用的工具型地理信息系统软件,具有强大的空间数据的图形显示功能及各类地图制图的制作功能。分析了如何利用MapGIS制作某地土地利用现状图,主要讲解了图形文件在其图形的输入和编辑上的几个关键的技术步骤。

基于知识图谱的我国品牌拟人化设计研究热点及前沿态势分析

目的应用科学知识图谱,探究我国品牌拟人化设计研究现状与热点,明晰我国品牌拟人化设计的研究前沿态势及发展创新方向,为品牌拟人化设计相关研究和创新实践提供参考借鉴。方法利用CiteSpace和VOSviewer文献计量软件,以2003—2023年中国知网数据库收录的“品牌拟人化设计”相关研究文献319篇为样本,结合文献内容分析对作者与研究机构分布特征、研究内容演化、关键词聚类、关键词突现、研究战略坐标等进行知识图谱可视化研究,探讨我国品牌拟人化设计研究状况、研究热点及前沿态势。结论20年来我国品牌拟人化设计相关研究快速增长,经历了探索、拓展和纵深3个研究阶段;研究者和研究机构合作紧密有待加强。我国品牌拟人化设计研究热点主题逐渐从品牌个性层面向品牌情感、人机交互、社会化媒体等多元层面延伸,人工智能拟人化交互、机器人服务失败、产品拟人化交互和拟人化品牌态度成为该领域值得关注的重点研究内容。我国品牌拟人化设计研究前沿发展向基于人机交互的品牌拟人化设计、基于视觉识别的品牌拟人化设计和基于消费者感知的品牌拟人化设计3个方向深入推进。

MapX在VC++中集成实现空情标图的方法

军事标图是指挥决策不可或缺的重要环节。随着军队指挥自动化的逐步实现,计算机技术的日趋成熟,用计算机标图取代传统的手工标图已成为现实。本文是以军队信息化、一体化建设思想为指导,从远方空情自动标图的实现入手,分析了采用计算机技术替代传统人工操作的可行性,提出在VC++环境下集成MapX控件实现军事标图解决方案,探讨了MapX在VC++中实现标图的基本方法,实现了远方空情与信息系统一体化。

基于CiteSpace的我国历史文化村镇研究文献分析

历史文化村镇是我国文化遗产的重要组成部分,也是传承中华文明的重要载体。文章以中国知网(CNKI)数据库中我国“历史文化村镇”相关文献为基础,运用CiteSpace文献分析可视化软件,分析其作者合作、研究机构合作、关键词共现与聚类等知识图谱,根据分析结果总结研究现状和热点。结果表研究内容上可分为理论构建与本体认知、保护研究和发展利用研究三方面,研究特点趋向于多学科交叉研究、新背景下的新理念新视角解读、定性和定量方法结合;研究者之间呈局部集中但整体分散,研究机构之间合作较少;研究热点为“新型城镇化”“影响因素”“乡村振兴”和“文旅融合”等方面。基于上述历史文化村镇的研究现状和热点,提出在新的发展背景下,提升研究综合质量,增强学科间融合、创新研究方法等建议,以期为后续研究提供参考。

机场数字化航空器引导系统设计及应用

针对目前机场场面航空器、车辆运行采用引导车引导、灯光引导的方式,存在运行效率低、高成本、难部署、无信息共享、易“错忘漏”等问题,研究设计机场场面航空器、车辆运行数字化引导方法及系统。本方法及系统采用机/车协同路径规划、数字化冲突解脱与引导等关键技术,并通过5G AeroMACS通信向机载、车载终端发送航空器、车辆运行态势以及引导控制信息,实现飞行员、车辆驾驶员、管制员共同态势感知以及实时数字地图引导,达到ICAO A-SMGCS Ⅴ级运行要求。本系统具备低成本、周期短、易部署、易维护等特点,推广应用后可提高机场场面引导运行安全、效率。

一种基于Google Map的虚拟战场防空态势显示方法

把复杂的、不可见的战场态势以可视化的方式表现出来是本文的研究方向。本文基于Google-Map,介绍了一种针对虚拟战场防空态势显示方法,内容包括系统框架设计及Google Map地图调用方法,防空态势显示方式,并以一实例进一步介绍了战场防空态势推演过程。此方法具备极大的扩展性,为红蓝对抗、雷达组网探测、点迹数据融合、智能辅助决策和复杂战场态势推演等提供了一种新的参考。

空域运行态势分析系统设计和应用

以民航高质量发展指标体系框架(试行)为基础,从空域管理的角度提出空域评估指标体系,结合各项指标计算过程中所需数据源和方法进行说明,基于该指标体系创新性提出空域运行态势分析系统设计,对系统架构、功能设计、实现和应用进行了详细的阐述。

智能型测绘卫星工程发展现状及创新技术探讨

在现阶段,测绘卫星技术已经被广泛应用于诸多领域,成为现代测绘技术中的重要组成部分。此外,数据处理技术的不断创新也为测绘卫星工程的应用提供了更为准确、高效的数据支撑。本文旨在探讨智能型测绘卫星工程的发展现状及数据处理技术创新,为相关领域的研究和实践提供参考。

基于态势感知的配电网空间负荷预测系统

针对动态地区配电网空间负荷优化预测问题,设计了一种基于实时自控态势感知的配电网空间负荷预测系统。首先构建配电网空间负荷预测目标决策要素经验池;然后利用深度长短期神经网络对配电网历史运行数据集进行处理,实现配电网实时自控态势感知;最后利用深度确定性策略梯度算法构建空间负荷预测与目标决策要素经验池之间的耦合模型,实现配电网空间负荷高效精准预测。对模型展开了实际算例分析,多类型配网供电区域场景下配电网空间负荷预测精度达到91.03%,多类型配网供电区域场景下配电网空间负荷预测效率提高了23.71%。