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.

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.

Mapping theme trends and knowledge structures for human neural stem cells:a quantitative and co-word biclustering analysis for the 2013-2018 period

Neural stem cells,which are capable of multi-potential differentiation and self-renewal,have recently been shown to have clinical potential for repairing central nervous system tissue damage.However,the theme trends and knowledge structures for human neural stem cells have not yet been studied bibliometrically.In this study,we retrieved 2742 articles from the PubMed database from 2013 to 2018 using "Neural Stem Cells" as the retrieval word.Co-word analysis was conducted to statistically quantify the characteristics and popular themes of human neural stem cell-related studies.Bibliographic data matrices were generated with the Bibliographic Item Co-Occurrence Matrix Builder.We identified 78 high-frequency Medical Subject Heading(MeSH)terms.A visual matrix was built with the repeated bisection method in gCLUTO software.A social network analysis network was generated with Ucinet 6.0 software and GraphPad Prism 5 software.The analyses demonstrated that in the 6-year period,hot topics were clustered into five categories.As suggested by the constructed strategic diagram,studies related to cytology and physiology were well-developed,whereas those related to neural stem cell applications,tissue engineering,metabolism and cell signaling,and neural stem cell pathology and virology remained immature.Neural stem cell therapy for stroke and Parkinson’s disease,the genetics of microRNAs and brain neoplasms,as well as neuroprotective agents,Zika virus,Notch receptor,neural crest and embryonic stem cells were identified as emerging hot spots.These undeveloped themes and popular topics are potential points of focus for new studies on human neural stem cells.

Science Letters:Dynamic concision for three-dimensional reconstruction of human organ built with virtual reality modelling language (VRML)

This research studies the process of 3D reconstruction and dynamic concision based on 2D medical digital images using virtual reality modelling language (VRML) and JavaScript language, with a focus on how to realize the dynamic concision of 3D medical model with script node and sensor node in VRML. The 3D reconstruction and concision of body internal organs can be built with such high quality that they are better than those obtained from the traditional methods. With the function of dynamic concision, the VRML browser can offer better windows for man-computer interaction in real-time environment than ever before. 3D reconstruction and dynamic concision with VRML can be used to meet the requirement for the medical observation of 3D reconstruction and have a promising prospect in the fields of medical imaging.

基于科学知识图谱的弹药毁伤评估技术发展现状与趋势研究

为厘清弹药毁伤评估技术演进规律,展望未来发展趋势,基于中国知网(CNKI)数据库,以1993-2022年收录的911篇毁伤评估技术文献为研究样本,运用CiteSpace软件绘制弹药毁伤评估技术研究发文机构、发文作者、研究现状以及研究热点知识图谱并进行可视化计量分析.研究发现,毁伤评估技术对充分发挥武器装备的战斗性能、作战水平、火力打击方案、合理配置作战资源有着重要的支撑保障作用,通过关键词词频、聚类、时间线以及突现分析,提出弹药毁伤评估技术应在协同毁伤、毁伤评估实时性、计算机技术与毁伤评估技术融合等方面进一步研究,将更好地完善弹药毁伤评估技术的理论与实践发展体系.

国内生物质气化研究热点、演进与趋势分析

为客观全面地分析我国生物质气化领域的发展脉络及研究动态,以近30年关于“生物质气化”的1722篇文献作为数据源,利用知识图谱软件对发文量、机构及关键词等进行文献计量与内容分析,解析该领域的前沿热点和发展趋势。研究表明:生物质气化发文量可分为初出萌芽期、蓬勃发展期和小幅下降期;我国生物质气化研究的热点集中在拓展生物质气化原料选择范围及优化气化技术、提高气化产物效率等方面,从重产率转向重社会效益。未来我国生物质气化的研究趋势为生物质原料外扩、气化反应机理、气化反应过程和气化产物高值化利用等方向。

中国儿童福利研究的演进、热点与展望:基于CiteSpace的可视化分析

儿童福利是社会保障体系的重要组成部分,发展儿童福利能为社会可持续发展提供宝贵资源与不竭动力。借助CiteSpace软件,对1992—2023年北大中文核心与CSSCI期刊检索出的556篇儿童福利领域相关文献进行研究进展和热点梳理。研究表明,当前中国儿童福利领域已出现一些具有较高影响力的学者和机构,相关研究数量呈逐年递增的态势。中国儿童福利的研究大致经历了初步探索期、深化发展期和稳步提升期三个发展阶段,该领域的研究热点主要集中于儿童福利的内涵界定、儿童福利的责任分野、儿童福利政策理念、儿童福利立法和儿童托育服务五个主题,研究的视角和内容逐渐趋向多样化、深层次。未来研究者应立足于既有成果,从不同角度继续深化儿童福利研究,以设计出合乎中国国情的儿童福利政策。

基于科学知识图谱的劈裂注浆研究热点与发展态势分析

针对传统建筑科学分析方法对工程领域研究存在的局限性,引入科学知识图谱及大数据计量等人工智能方法,借助可视化软件Citespace,检索Web of Science(WOS)核心合集数据库,得到2007~2022年主题为劈裂注浆的文献709篇,对发文总量、学科归属、期刊分布、核心作者、区域合作、关键词和被引文献等方面做科学知识图谱分析。通过区域合作关系图谱的寻径,理清现阶段国际合作的格局,指出中国未来国际合作的主要任务。依据成果数量和突现时间,评析贡献较大的代表性作者。提取318个研究关键词,以发文频次和中心性为导向,筛选精炼了现阶段研究热点。从10个聚类的特性分组出发,展示了理论研究、应用实践和数值模拟的发展脉络,明确了研究的前沿方向。排列10条聚类发展时间线,精炼了注浆效率和封堵效率两条热门主线,同时提示了较难取得研究成果的线路。通过聚焦关键词的时区分布态势,总结热点演进的两个规律,并预测今后两年新热点与2017年研究成果之间的潜在关联。根据文献共被引关系发生的时间,对比4组年度切片的变化,评价了学科知识基础的发展脉络和未来走向。结果表明:科学知识图谱作为人工智能分析方法,能总结分析劈裂注浆近年来的研究热点,并可以预测劈裂注浆在未来阶段的学术研究发展态势。

社区农园国内外研究热点及发展趋势——基于CiteSpace的可视化对比研究

社区农园的建设及其展开的理论研究与实践日益增多,文章利用知识图谱可视化工具CiteSpace对国内外社区农园研究的发文地域、关键词、突现词知识图谱进行了分析。研究表明,国内外在社区农园研究历程、内容和深度方面既有相似性又存在显著差别,未来我国社区农园发展趋势应积极探索其作为破解“一老一少”困局和提升社区治理水平的有效路径之一。

国产冰箱的迭代图谱及设计趋势研究

通过对于国产冰箱的案例搜集与分析,依据政策变化将其发展历史划分为四个阶段,从设计学角度构建起国产冰箱的迭代图谱。基于社会学视角剖析中国不同历史时期人民的生活方式,探索国产冰箱设计发展演变中的内在逻辑,通过分析迭代图谱与社会生活变迁的相互关系,以期论证以生活方式预测家电产品设计趋势的潜在可能性。基于以上研究,结合当前社会热点和人民生活方式特点,提出了国产冰箱设计的两大发展趋势:产品使用场景的跨越与人工智能技术的深度融合,旨在为未来的冰箱设计提供启示与借鉴。

基于CiteSpace的中国科技奖励研究现状与趋势分析

文章以中国知网(CNKI)数据库检索到的970篇相关文献为数据源,基于文献计量分析方法,利用CiteSpace软件对1992-2023年科技奖励研究成果的论文发文量、机构、关键词聚类、关键词突现等进行可视化呈现和对比分析,了解国内科技奖励研究的趋势、研究热点和演进分析结果。结果显示,国内科技奖励研究领域发文机构跨区域的合作明显;研究围绕科技奖励政策、奖励成果转化、科技创新发展思路等主题,聚焦科技奖励制度的改革、科技奖励对科研人员的激励、对基础科学的激励、对工业产权战略的推动作用等方面开展。文章揭示了国内科技奖励研究的热点与趋势,以期对相关研究人员了解最新情况有所帮助。

国内外语课程思政研究动态科学知识图谱分析——以CNKI 2019—2023年间核心期刊文献为例

以国内2019—2023年间中国知网(CNKI)数据库中有关外语课程思政研究的230篇中文核心期刊文献为数据来源,借助可视化软件CiteSpace 6.2.R6绘制科学知识图谱,分别对研究趋势、研究热点及高被引文献进行分析。结果表明:近五年来国内外语课程思政研究的发文量整体呈上升趋势;研究热点主要围绕“大学英语”“立德树人”“外语课程思政”等主题展开;高被引文献主要涵盖外语课程思政的内涵、实施路径、教学设计三个方面。建议未来研究能够缩减不同学段间的研究成果差距,进一步探究外语课程思政评价体系的构建原则,以构建科学、完善的外语课程思政评价体系。

基于CiteSpace可视化分析的高校智慧教育空间研究进展与启示

存量时代下,高校教育空间随数字化教学模式的改变而逐步迭代升级,随之而来的校园教育空间智慧化建设也为教育设施的效能提升、情境预测提供了新的方法与工具。本文运用CiteSpace可视化工具,呈现近十年来国内外高校智慧教育空间的研究热点,总结其研究现状与发展趋势,归纳出高校智慧校园建设的四个阶段及智慧教育空间所呈现的低碳化、人本化、多元化、复合化的阶段特征,以期为后续校园教育空间的更新与建设提供参考。

中国人工智能研究热点与趋势——基于中文社会科学引文索引(CSSCI)论文的分析

人工智能对伦理、创新、教育和法律带来的影响日益凸显,但传统上关于人工智能的研究多以定性为主、少有数据分析,少数定量研究关注的维度较为单一。为更准确地把握人工智能研究的前沿热点,对发表于中文社会科学引文索引(CSSCI)数据库中2017—2023年有关人工智能的文献进行计量分析和系统评述,运用文献分析软件,对文献发表时间、出版期刊、核心作者、发文机构等方面进行可视化分析和知识图谱分析,识别出关于人工智能研究领域的热点。结果发现:中国人工智能的有关研究在2017年进入发展期,2018年进入爆发期,主要从哲学、管理学、教育学和法学的角度开展;人工智能伦理、管理方式变革、教育管理与政策以及人工智能的法律规制成为当前人工智能研究的主要内容;未来人工智能的热点前沿主要包括人工智能与数字经济的结合、人工智能发展的伦理困境、人工智能机器的地位辨析和人工智能对劳动力市场的影响等议题;未来学术界关于人工智能的研究重点会随着技术的进一步迭代和政策的持续深化而变化,研究主题会更为集中且向纵深发展,从识别一般规律到探寻具体对象的可操作化路径,研究路径从理论探索到实践指引演化。

互花米草领域研究热点与前沿分析——基于CiteSpace的大数据可视化研究

为了全面探析互花米草的研究热点和发展趋势,利用文献计量学软件CiteSpace 6.1 R2对Web of Science和中国知网数据库互花米草文献进行梳理和可视化分析。结果表明:(1)国内外互花米草研究发文量呈上升趋势,2018年起国内总发文量超越国外。(2)国外互花米草研究机构以Louisiana State University为首,形成了以Bertness M-Silliman B-Iribarne O团队、Mendelssohn I-Hester M团队、Morris JWigand C团队为核心的研究力量;国内研究机构以中国科学院大学为首,核心研究团队是李博-安树青团队、张利权团队、仝川-曾从盛-王维奇团队,但国内外研究合作仍待加强。(3)互花米草研究历经以保滩护岸为目的的认识阶段、以生理学和生态学为主的理论研究阶段、应对互花米草扩散及入侵的防治技术研发和实施阶段。(4)国内外互花米草研究核心内容基本一致,但近10年来国内研究聚焦于互花米草入侵对本土植物影响、入侵机制及防治技术等。基于此,文章指出:国内互花米草研究应从治理技术零散、防治成本高、再次入侵、潜在污染风险大等方面给予更多关注,尽快形成适应中国地理环境特征的互花米草可持续治理技术;互花米草研究目前仍处于快速发展期,研究广度和深度不断增强,未来一段时间内,强化互花米草防治科技支撑、实施互花米草治理全过程跟踪评估仍是该领域的关注热点。

基于CiteSpace可视化分析经方麻杏石甘汤的研究应用与发展

目的运用CiteSpace软件对经方麻杏石甘汤的研究现状及发展趋势进行可视化分析。方法在中国知网数据库中检索与麻杏石甘汤相关的文献,检索时间为1980年1月1日至2023年1月1日,运用CiteSpace软件绘制该领域相关文献关键词共现分析、关键词聚类分析、关键词突现分析的科学知识图谱。