在计算机中建立设备数据图库

在工艺厂房的配置设计中,设备外形图的绘制既繁琐,又费时。针对这一情况,可在计算机中建立一种以数据文件形式存储的设备图形库。利用AutoCAD中的内嵌语言AutoLISP进行编程,以人机对话的方式建立设备图形库,并可以该方式予以调用。

乡镇土地所建立现代信息化地籍档案数据图库刻不容缓

我国已进入全面建设小康社会、加快推进社会主义现代化建设的新的发展阶段，在这个时期内，经济建设对土地的需求将呈现持续旺盛增长，耕地保护将面临更大的挑战。党中央、国务院及时作出决策，要求发展经济走全面、协调、可持续之路，这是我国人口多、人均耕地少、耕地后备资源不足的国情所决定，也是历史赋予我们的唯一选择。

矿产资源规划数据库图库一致性问题解决策略

本文通过对现有数据库图库一致性问题的研究和分析,总结导致问题的主要原因并提出相应的解决策略,包括统一的数据标准和规范、数据质量监控细则、数据同步和更新机制、数据验证和校验机制。这些策略的实施能够有效解决矿产资源规划数据库图库的一致性问题,提高数据的可靠性和准确性,为矿产资源规划编制提供可靠的数据支持。

1∶10000图库一体化数据质量评价与控制方法研究

以1∶10 000图库一体化数据成果为研究对象,结合1∶10 000图库一体化数据生产流程,分析了图库一体化数据特征,对图库一体化数据生产过程中各个环节的质量控制方法和质量评价内容进行探讨试验,提出了一体化数据的质量评价内容和图库一体化生产环节中的质量控制方法。

制图与建库数据一体化更新技术研究

要实现图库数据同步快速更新,必须有相应的理论基础、技术基础和数据基础支撑,建立一套科学的技术体系,使2种成果数据之间存在关联关系,存储在一个数据库中。通过分析目前建库和制图数据生产和管理的现状,提出图库数据一体化更新的支撑基础,并以MapStore图库数据一体化生产软件为例,提出图库数据一体化更新的技术流程,同时阐述利用MapStore软件进行图库数据一体化更新生产过程中的几个关键技术。

基于图数据库的电力设备全生命周期管理技术分析

设备管理与电网运行业务开始不断融合,对设备的运行状态、质量溯源等管理缺乏良好生命周期管理体系,所以需要积极开展生命周期管理工作。对此,本文阐述了图数据库概述,介绍了常见图数据库类型,并提出以图数据库为基础的知识存储方案,同时介绍了系统实现方法,希望能够为相关人员提供参考。

基于图数据库的电力设备全生命周期管理技术分析

我国提出泛在物联网发展战略目标后,国网公司的电力设备管理部门已经构建相关信息管理平台,以电力设备各个侧面角度对设备采购、调度以及检修维护等方面展开全面管理,积累大量数据信息,为物资、调度等业务提供良好支撑。在国家电网中,电网运行以及电力设备属于核心资产,设备稳定运行情况对于电网安全、稳定运行具有直接影响,对电力设备全生命周期管理进行研究,对于电网稳定运行具有良好意义。对此,本文阐述了图数据库概述,介绍了常见图数据库类型,并提出以图数据库为基础的知识存储方案,同时介绍了系统实现方法,希望能够为相关人员提供参考。

数字信息技术赋能城市地名管理的探索与实践

近年来,随着地名管理模式的改变,国家和社会对地名管理提出更高的要求。结合上海地名地域文化特点,需要通过对地名学、地理信息系统、数字人文、三维建模和数字虚拟等进行跨学科跨领域的交叉融合研究。阐述一系列创新技术,如多源异构人文信息自动挖掘融合、全景式的数字人文可视化输出和沉浸式虚拟交互等应用于地名规划审批、地名文化保护挖掘和地名文化传播的探索,以期为城市地名管理赋能提供更深入、全场景的技术支撑,提升上海城市地名管理的水平,形成示范引领效应。

Auditory attention model based on Chirplet for cross-corpus speech emotion recognition

To solve the problem of mismatching features in an experimental database, which is a key technique in the field of cross-corpus speech emotion recognition, an auditory attention model based on Chirplet is proposed for feature extraction.First, in order to extract the spectra features, the auditory attention model is employed for variational emotion features detection. Then, the selective attention mechanism model is proposed to extract the salient gist features which showtheir relation to the expected performance in cross-corpus testing.Furthermore, the Chirplet time-frequency atoms are introduced to the model. By forming a complete atom database, the Chirplet can improve the spectrum feature extraction including the amount of information. Samples from multiple databases have the characteristics of multiple components. Hereby, the Chirplet expands the scale of the feature vector in the timefrequency domain. Experimental results show that, compared to the traditional feature model, the proposed feature extraction approach with the prototypical classifier has significant improvement in cross-corpus speech recognition. In addition, the proposed method has better robustness to the inconsistent sources of the training set and the testing set.

Fundamental Theories of Spatial Similarity Relations in Multi-scale Map Spaces

Similarity relation is one of the spatial relations in the community of geographic information science and cartography.It is widely used in the retrieval of spatial databases, the recognition of spatial objects from images, and the description of spatial features on maps.However, little achievements have been made for it by far.In this paper, spatial similarity relation was put forward with the introduction of automated map generalization in the construction of multi-scale map databases;then the definition of spatial similarity relations was presented based on set theory, the concept of spatial similarity degree was given, and the characteristics of spatial similarity were discussed in detail, in-cluding reflexivity, symmetry, non-transitivity, self-similarity in multi-scale spaces, and scale-dependence.Finally a classification system for spatial similarity relations in multi-scale map spaces was addressed.This research may be useful to automated map generalization, spatial similarity retrieval and spatial reasoning.

A CADASTRAL SPATIAL DATA STORAGE STRUCTURE BASED ON RELATIONAL DATABASE

This paper presents a cadastral spatial data storage structure based on relational database,the method and the procedure to realize it.The paper consists of three parts.In the first part,some existing problems in some developed cadastral management systems are discussed.These problems are the following four.1) The security of cadastral spatial data is difficult to be assured.2) It is difficult to varify cadastral data and the integrality of cadastral data is difficult to be kept.3) To transmit and share cadastral data is difficult.4) The efficiency of data access is low.In the second part,the feasibility of using relational database to store spatial data is analyzed and a new cadastral spatial data storage structure is presented.At the same time,the related table structures and field descriptions are given,and then the merits and demerits of this storage structure are analyzed in detail.In the last part,through a real example,the detailed methods to make the new storage structure a reality are given.Moreover,some involving key techniques of the new storage structure are discussed.These techniques are:1) the application of database transaction,2) the application of database trigger,3) and the application of secure recovery of database.

Preserving the literary past, looking to the future: the first Hong Kong Literature Database

In the last two decades of the 20th century, there has been an increasing interest in and emphasis on the study of the Hong Kong literature in both the academic and general public in Hong Kong. Recognizing the emergent need of the resources on Hong Kong literature, the University Library System of the Chinese University of Hong Kong set up the Hong Kong Literature Database （the “Database”）, which was the first Chinese literature database in the Internet in 2000. The paper will examine how the database is constructed using XML technology andometadata schema, The database also employs Unicode UTF-8 as the internal code. A mapping table for traditional and simplified Chinese characters was created based on Unihan and is used behind the scene so that a user can either input traditional or simplified Chinese characters and retrieval will give both traditional and simplified Chinese characters. Currently 65% of journals use OCR technology so that full-text searching is possible. The Chinese OCR technology will be examined in greater detail. Special features of the Database such as, page-by-page browse mode, position-highlight for full-page newspaper, linking Table-Of-Contents and book jackets from the Library catalogue, etc. are described. The paper will also bring out the problem of massive downloading and compare the state-of-the-art technology and their shortcomings. This paper shows how the Hong Kong Literature Database facilitates future collaboration and data exchange by using open standard, shareable structure and the latest technology.

VCN & Its Role of Engineering in Human Society

A novel broad concept of numbers was given out based upon the analyzing of numbers′ carrying rule. In international mathematics & computer science, all researches on numbers are only confined to same varying rule of the FCN (fixed carrying numbers). The concept of VCN (variable carrying numbers) was presented, and some applied examples of practice were given out. So the engineering application of VCN for n-figures is wider than that of FCN in human society.

A method for improving graph queries processing using positional inverted index (P.I.I) idea in search engines and parallelization techniques

The idea of positional inverted index is exploited for indexing of graph database. The main idea is the use of hashing tables in order to prune a considerable portion of graph database that cannot contain the answer set. These tables are implemented using column-based techniques and are used to store graphs of database, frequent sub-graphs and the neighborhood of nodes. In order to exact checking of remaining graphs, the vertex invariant is used for isomorphism test which can be parallel implemented. The results of evaluation indicate that proposed method outperforms existing methods.

SYSTEM FOR AUTOMATIC GENERALIZATION OF TOPOGRAPHIC MAPS

With the construction of spatial data infi＇astructure, automated topographic map generalization becomes an indispensable component in the community of cartography and geographic information science. This paper describes a topographic map generalization system recently developed by the authors. The system has the following characteristics： 1） taking advantage of three levels of automation, i.e. fully automated generalization, batch generalization, and interactive generalization, to undertake two types of processes, i.e. intelligent inference process and repetitive operation process in generalization; 2） making use of two kinds of sources for generalizing rule library, i.e. written specifications and cartographers＇ experiences, to define a six-element structure to describe the rules; 3） employing a hierarchical structure for map databases, logically and physically; 4） employing a grid indexing technique and undo/redo operation to improve database retrieval and object generalization efficiency. Two examples of topographic map generalization are given to demonstrate the system. It reveals that the system works well. In fact, this system has been used for a number of projects and it has been found that a great improvement in efficiency compared with traditional map general- ization process can be achieved.

Application of RgMap system on digital regional geological survey

Digital geological mapping fundamentally broke through the traditional working pattern,successfully carried out the geological mapping digitalization.By using the RGMAP system to field digital geological mapping,the authors summarized the method of work and the work flow of the RGMAPGIS during the field geological survey.First,we prepared material,set up the PRB gallery,then put the geographic base map under the background maplayer and organizing the field hand map,forming the field factual datum map.At last,the geological space database is formed.

Construction and application of knowledge graph of Treatise on Febrile Diseases

Objective To establish the knowledge graph of“disease-syndrome-symptom-method-formula”in Treatise on Febrile Diseases(Shang Han Lun,《伤寒论》)for reducing the fuzziness and uncertainty of data,and for laying a foundation for later knowledge reasoning and its application.Methods Under the guidance of experts in the classical formula of traditional Chinese medicine(TCM),the method of“top-down as the main,bottom-up as the auxiliary”was adopted to carry out knowledge extraction,knowledge fusion,and knowledge storage from the five aspects of the disease,syndrome,symptom,method,and formula for the original text of Treatise on Febrile Diseases,and so the knowledge graph of Treatise on Febrile Diseases was constructed.On this basis,the knowledge structure query and the knowledge relevance query were realized in a visual manner.Results The knowledge graph of“disease-syndrome-symptom-method-formula”in the Treatise on Febrile Diseases was constructed,containing 6469 entities and 10911 relational triples,on which the query of entities and their relationships can be carried out and the query result can be visualized.Conclusion The knowledge graph of Treatise on Febrile Diseases systematically realizes its digitization of the knowledge system,and improves the completeness and accuracy of the knowledge representation,and the connection between“disease-syndrome-symptom-treatment-formula”,which is conducive to the sharing and reuse of knowledge can be obtained in a clear and efficient way.

Design of Conceptual Model in Digital Map Database

The components of map information are analyzed theoretically in this paper,and the map information includes mainly the spatial information,attributive information and temporal characteristics information.Then the digital map entity is defined according to construction characteristics of the map information.Finally,on the basis of the analyses of the construction characteristics of digital map entity and present conceptual model of digital map database,an abstracted conceptual model of digital map database is presented.And the Normal Form theory of relational database is discussed particularly.

Interactive Generalization on Large-Scale Topographical Map Supported by a Database Platform

This paper makes astudy on the interactive digital gener-alization, where map generalizationcan be divided into intellective reason-ing procedure and operational proce-dure, which are done by human andcomputer, respectively. And an inter-active map generalization environmentfor large scale topographic map is thendesigned and realized. This researchfocuses on: ① the significance of re-searching an interactive map generali-zation environment, ② the features oflarge scale topographic map and inter-active map generalization, ③ the con-struction of map generalization-orien-ted database platform.

BGIDB:A fundus ground truth building tool with automatic DDLS classification for glaucoma research

Taking advantage of the new standard HTML5,we designed an online tool called a browser/server-based glaucoma image database builder(BGIDB)for the demarcation of the optic disk and cup’s ellipse-like boundaries.The B-spline interpolation algorithm is used,and a specially designed algorithm is proposed for classifying the disease grade according to the disc damage likelihood scale criterion,which is correlated strongly with the glaucoma process by quantity.This tool exhibits the best performance with a low overlapping error of 4.34%for the optic disk demarcation and 8.31%for the optic cup demarcation.It also has preferable time-consuming as compared to other tools and is a cross-platform system.This tool has already been utilized in building the ophthalmic image database in the cooperation of Center for Ophthalmic Imaging Research and The Second Xiangya Hospital.