MANAGEMENT OF SPATIO-TEMPORAL DATA OF CADASTRAL INFORMATION SYSTEM IN CHINA

Cadastral Information System (CIS) is designed for the office automation of cadastral management. With the development of the market economics in China, cadastral management is facing many new problems. The most crucial one is the temporal problem in cadastral management. That is, CIS must consider both spatial data and temporal data. This paper reviews the situation of the current CIS and provides a method to manage the spatiotemporal data of CIS, and takes the CIS for Guangdong Province as an example to explain how to realize it in practice.

The Development of Intelligent Operation Method of Urban Public Infrastructure Driven by Accurate Spatio-temporal Information

Urban public infrastructure is an important basis for urban development.It is of great significance to deepen the research on intelligent management and control of urban public infrastructure.Spatio-temporal information contains the law of state evolution of urban public infrastructure,which is the information base of intelligent control of infrastructure.Due to the needs of operation management and emergency response,efficient sharing and visualization of spatio-temporal information are important research contents of comprehensive management and control of urban public infrastructure.On the basis of summarizing the theoretical research and application in recent years,the basic methods and current situation of the acquisition and analysis of spatio-temporal information,the forecast and early warning,and the intelligent control of urban public infrastructure are reviewed in this paper.

Construction of Smart City Spatio-Temporal Information Cloud Platform in Weifang,China

On the basis of the digital Weifang geospatial framework,Smart Weifang spatio-temporal information cloud platform(WFCP)integrated legal person information,population,place name and address data,macroeconomic data and so on.And it also expanded the data contents,such as the indoor and outdoor data,the overground and underground data,panoramic data and real data.It also introduced the contents of historical geographical information in different periods and real-time location information,address information of sensing equipment,real-time perception and interpreting information.It has overcome the difficulties of real-time access of Internet of Things(IoT)perception,multi-node collaboration,64-bit support,cluster deployment and has the characteristics of spatio-temporal management,ondemand service,large data analysis and micro-service architecture.It built spatio-temporal information big data center and spatio-temporal information cloud platform,realized the convergence and management of the distributed big data,deeply applied for land,transportation,environmental protection,police and subdistrict five areas,by supporting the integrated application of multi-source information and supporting intelligent deep application.In the aspect of hardware environment construction,according to the top-level design and unified arrangement of Smart Weifang,the WFCP was migrated to Weifang cloud computing center,to achieve the on-demand computing resources and dynamic scheduling load-based computing resources,to support the generalizing load map application.

Spatial/temporal indexing and information visualization genre for environmental digital libraries

Protecting and preserving our environmental systems require the ability to understand the spatio-temporal distri- bution of soils, parent material, topography, and land cover as well as the effects of human activities on ecosystems. Space-time modelling of ecosystems in an environmental digital library is essential for visualizing past, present, and future impacts of changes occurring within such landscapes (e.g., shift in land use practices). In this paper, we describe three novel features, spa- tio-temporal indexing, visualization, and geostatistical genre, for the environmental digital library, Environmental Visualization and Geographic Enterprise System (ENVISAGE), currently in progress at the University of Florida.

Constructing a raster-based spatio-temporal hierarchical data model for marine fisheries application

Marine information has been increasing quickly. The traditional database technologies have disadvantages in manipulating large amounts of marine information which relates to the position in 3-D with the time. Recently, greater emphasis has been placed on GIS （geographical information system）to deal with the marine information. The GIS has shown great success for terrestrial applications in the last decades, but its use in marine fields has been far more restricted. One of the main reasons is that most of the GIS systems or their data models are designed for land applications. They cannot do well with the nature of the marine environment and for the marine information. And this becomes a fundamental challenge to the traditional GIS and its data structure. This work designed a data model, the raster-based spatio-temporal hierarchical data model （RSHDM）, for the marine information system, or for the knowledge discovery fi＇om spatio-temporal data, which bases itself on the nature of the marine data and overcomes the shortages of the current spatio-temporal models when they are used in the field. As an experiment, the marine fishery data warehouse （FDW） for marine fishery management was set up, which was based on the RSHDM. The experiment proved that the RSHDM can do well with the data and can extract easily the aggregations that the management needs at different levels.

Wi-Fi Positioning Dataset with Multiusers and Multidevices Considering Spatio-Temporal Variations

Precise information on indoor positioning provides a foundation for position-related customer services.Despite the emergence of several indoor positioning technologies such as ultrawideband,infrared,radio frequency identification,Bluetooth beacons,pedestrian dead reckoning,and magnetic field,Wi-Fi is one of the most widely used technologies.Predominantly,Wi-Fi fingerprinting is the most popular method and has been researched over the past two decades.Wi-Fi positioning faces three core problems:device heterogeneity,robustness to signal changes caused by human mobility,and device attitude,i.e.,varying orientations.The existing methods do not cover these aspects owing to the unavailability of publicly available datasets.This study introduces a dataset that includes the Wi-Fi received signal strength(RSS)gathered using four different devices,namely Samsung Galaxy S8,S9,A8,LG G6,and LG G7,operated by three surveyors,including a female and two males.In addition,three orientations of the smartphones are used for the data collection and include multiple buildings with a multifloor environment.Various levels of human mobility have been considered in dynamic environments.To analyze the time-related impact on Wi-Fi RSS,data over 3 years have been considered.

Spatio-temporal epidemic type aftershock sequence model for Tangshan aftershock sequence

Shallow earthquakes usually show obvious spatio-temporal clustering patterns. In this study, several spatio-temporal point process models are applied to investigate the clustering characteristics of the well-known Tangshan sequence based on classical empirical laws and a few assumptions. The relative fit of competing models is compared by Akalke Information Criterion. The spatial clustering pattern is well characterized by the model which gives the best fit to the data. A simulated aftershock sequence is generated by thinning algorithm and compared with the real seismicity.

Investigating Spatio-Temporal Pattern of Relative Risk of Tuberculosis in Kenya Using Bayesian Hierarchical Approaches

Proper understanding of global distribution of infectious diseases is an important part of disease management and policy making. However, data are subject to complexities caused by heterogeneities across host classes and space-time epidemic processes. This paper seeks to suggest or propose Bayesian spatio-temporal model for modeling and mapping tuberculosis relative risks in space and time as well identify risks factors associated with the tuberculosis and counties in Kenya with high tuberculosis relative risks. In this paper, we used spatio-temporal Bayesian hierarchical models to study the pattern of tuberculosis relative risks in Kenya. The Markov Chain Monte Carlo method via WinBUGS and R packages were used for simulations and estimation of the parameter estimates. The best fitting model is selected using the Deviance Information Criterion proposed by Spiegelhalter and colleagues. Among the spatio-temporal models used, the Knorr-Held model with space-time interaction type III and IV fit the data well but type IV appears better than type III. Variation in tuberculosis risk is observed among Kenya counties and clustering among counties with high tuberculosis relative risks. The prevalence of HIV is identified as the determinant of TB. We found clustering and heterogeneity of TB risk among high rate counties and the overall tuberculosis risk is slightly decreasing from 2002-2009. We proposed that the Knorr-Held model with interaction type IV should be used to model and map Kenyan tuberculosis relative risks. Interaction of TB relative risk in space and time increases among rural counties that share boundaries with urban counties with high tuberculosis risk. This is due to the ability of models to borrow strength from neighboring counties, such that nearby counties have similar risk. Although the approaches are less than ideal, we hope that our study provide a useful stepping stone in the development of spatial and spatio-temporal methodology for the statistical analysis of risk from tuberculosis in Kenya.

Empirical Evidence for a Descriptive Model of Principles of Information Security Course

The purpose of this study is to examine the nature and content of the rapidly evolving undergraduate Principles of Information/Cybersecurity course which has been attracting an ever-growing attention in the computing discipline, for the past decade. More specifically, it is to provide an impetus for the design of standardized principles of Information/Cybersecurity course. To achieve this, a survey of colleges and universities that offer the course was conducted. Several schools of engineering and business, in universities and colleges across several countries were surveyed to generate necessary data. Effort was made to direct the questionnaire only to Computer Information System (CIS), Computer Science (CS), Management Information System (MIS), Information System (IS) and other computer-related departments. The study instrument consisted of two main parts: one part addressed the institutional demographic information, while the other focused on the relevant elements of the course. There are sixty-two (62) questionnaire items covering areas such as demographics, perception of the course, course content and coverage, teaching preferences, method of delivery and course technology deployed, assigned textbooks and associated resources, learner support, course assessments, as well as the licensure-based certifications. Several themes emerged from the data analysis: (a) the principles course is an integral part of most cybersecurity programs;(b) majority of the courses examined, stress both strong technical and hands-on skills;(c) encourage vendor-neutral certifications as a course exit characteristic;and (d) an end-of-course class project, remains a standard requirement for successful course completion. Overall, the study makes it clear that cybersecurity is a multilateral discipline, and refuses to be confined by context and content. It is envisaged that the results of this study would turn out to be instructive for all practical purposes. We expect it to be one of the most definitive descriptive models of such a cardinal course, and help to guide and actually, shape the decisions of universities and academic programs focusing on information/cyber security in the updating and upgrading their curricula, most especially, the foundational principles course in light of new findings that are herein articulated.

测绘地理信息科学的变革与展望——基于《地理空间信息》院士论坛专辑的深度解析

基于《地理空间信息》院士论坛专辑,对12位院士撰写的37篇论文进行研究,将论文涉及领域归纳为现代测绘基准、基础地理信息、地理信息服务平台3大方向,从发展历程、最新成果和应用场景3个方面,多维度探讨了院士论坛专辑对测绘地理信息科学发展的推动作用,并展望了未来的发展趋势。

Visual method of analyzing COVID-19 case information using spatio-temporal objects with multi-granularity

Coronavirus disease 2019(COVID-19)is continuing to spread globally and still poses a great threat to human health.Since its outbreak,it has had catastrophic effects on human society.A visual method of analyzing COVID-19 case information using spatio-temporal objects with multi-granularity is proposed based on the officially provided case information.This analysis reveals the spread of the epidemic,from the perspective of spatio-temporal objects,to provide references for related research and the formulation of epidemic prevention and control measures.The case information is abstracted,descripted,represented,and analyzed in the form of spatio-temporal objects through the construction of spatio-temporal case objects,multi-level visual expressions,and spatial correlation analysis.The rationality of the method is verified through visualization scenarios of case information statistics for China,Henan cases,and cases related to Shulan.The results show that the proposed method is helpful in the research and judgment of the development trend of the epidemic,the discovery of the transmission law,and the spatial traceability of the cases.It has a good portability and good expansion performance,so it can be used for the visual analysis of case information for other regions and can help users quickly discover the potential knowledge this information contains.

同行对标敏感信息差分隐私保护系统设计

由于海量同行对标敏感信息受到攻击影响,造成敏感信息发布密度低而导致隐私保护效果不佳的问题,设计了同行对标敏感信息差分隐私保护系统。设计攻击检测器,通过数据平面粗粒度配合协作完成整个敏感信息检测。捕获敏感信息包获取相关信息。设计芯片保护结构,保证系统在受到外界攻击时稳定运行。构建基于差分隐私保护的防御模型,根据同行对标敏感程度,计算系统需要保护的敏感信息量,实现敏感信息的实时检测和保护。采用匿名隐私保护方式抵抗外界攻击,设定隐私预算保护力度,延长差分隐私保护周期。由测试结果可知,该系统查询误差最高为0.15,且能够获取发布的全部敏感信息。

Human tracking in camera network with non-overlapping FOVs

An adaptive human tracking method across spatially separated surveillance cameras with non-overlapping fields of views （FOVs） is proposed. The method relies on the two cues of the human appearance model and spatio-temporal information between cameras. For the human appearance model, an HSV color histogram is extracted from different human body parts （head, torso, and legs）, then a weighted algorithm is used to compute the similarity distance of two people. Finally, a similarity sorting algorithm with two thresholds is exploited to find the correspondence. The spatio- temporal information is established in the learning phase and is updated incrementally according to the latest correspondence. The experimental results prove that the proposed human tracking method is effective without requiring camera calibration and it becomes more accurate over time as new observations are accumulated.

组织协同进化分类算法

提出了一种有效的用于数据挖掘分类任务的方法———组织协同进化分类算法 (OrganizationalCoEvolution aryalgorithmforClassification ,OCEC) ,与现有遗传分类方法的运行机制不同 ,它的进化操作直接作用于数据而不是规则 ,进化结束后再从各组织中提取规则 ,这样有利于避免在进化过程中产生无意义的规则 .提出了三种组织进化算子———增减算子、交换算子与合并算子和一种组织选择机制 ,给出了属性重要度的进化方式并基于此定义了组织适应度 .作者将算法用于UCI数据集 ,并与现有的基于遗传和非遗传的分类方法进行了比较 .实验结果表明该文方法获得了更高的预测准确率 ,产生了更小的规则集 ;对同一数据集进行k 次交叉验证 ,其预测准确率的波动较小 。

高校图书馆信息资源建设质量评价指标体系研究

文章介绍了高校图书馆信息资源建设质量评价的研究现状,提出应用定标比超法对高校图书馆信息资源进行优化研究。分析了信息资源建设质量评价指标体系的构建原则,建立了包括8个方面,相应的29个评价指标的高校图书馆信息资源建设质量评价指标体系。

跟踪误差下积极资产组合投资的风险约束机制

TEV(Tracking Error Volatility)优化是积极资产管理的流行方法,但因其存在的固有缺陷,会导致基金管理人员的行为使得投资者的资产承受更大的风险,进而引发委托代理问题。Jorion(2003)认为利用固定TEV(Con-stan-TEV)优化可以对TEV优化加以改进。本文通过对TEV优化和固定TEV优化的研究,发现Jorion(2003)的判断不完全正确,并基于成本、效率、基准组合的作用、风险偏好等方面,进行深入地分析。而且,设计了一种更为有效的风险约束机制。

基于开源GIS的城市基准地价信息发布平台的设计与实现

采用开源的Geotools平台和jfreechart软件作为基础,基于JavaApplet构建小型城市基准地价信息发布平台。平台的构架设计以定级估价数据库标准为基础,紧密结合城市基准地价信息发布工作流程和数据流程,并且采用Java的远程对象和相关的远程方法调用(RMI)作为权限控制设计的模式,实现了能够执行城市土地级别、基准地价、标定地价等空间信息在多用户条件下的图形显示控制、属性查询统计以及图属互查等复杂操作的基准地价信息发布功能,可以满足目前国内大多数中小城市的基准地价信息发布的需求。

基于专利情报定标比超分析的中国机器人产业发展研究

从专利情报定标比超角度,以日本机器人产业作为定标比超对象,分析比较中日两国机器人产业发展的差异,发现中国机器人产业无论在产业发展阶段、技术创新能力还是在技术成熟度等方面与日本相比都存在较大的差距。中国机器人产业未来发展潜力和空间巨大,但是存在核心技术比较缺乏,关键技术有待突破,技术创新体系以高校为主,产学研合作不够紧密等问题,因此,应从扶持政策、技术创新体系的重构以及产业龙头企业的培育等方面予以解决。

基于定标比超分析的我国高校信息素质教育现状研究

根据定标比超的基本内涵及其应用在高等教育领域的意义,提出了对我国高校信息素质教育进行定标比超分析的具体流程与步骤。结合对信息素质教育教学质量评价体系的初步探索,建立竞争力评价指标体系,据此对国内外高校信息素质教育进行了客观全面的比较与思考。依据定标比超的分析结果,提出了未来在我国高校开展信息素质教育的建议与对策。

我国与英美日三国情报学研究生教育的定标比超研究及对策

运用定标比超的方法将我国情报学研究生教育的代表性机构与英国、美国、日本代表性培养单位从培养模式、课程教学、科学研究、就业情况等多方面进行比较,找出我国目前情报学研究生培养存在的差距,并提出具体的改进策略。