Visual Basic中Data数据控件的使用

Visual Basic内嵌的Data数据控件是访问数据库的一种方便工具,它提供有限的不需编程而能访问现存数据库的功能.数据控件本身不能显示数据库的数据,需通过设置数据控件的一些属性,链接指定的数据库文件,再借助其他常用控件显示字段的内容.文本框、标签和图片框常用来显示数据库的数据.把数据控件和显示数据的控件结合到一起称为数据绑定.

在Visual Basic中用Data控件操作Access数据库

用Data控件对Access数据库操作,实现对数据库表的增加、删除、定位功能。

Development of Management and Application System of Basic Meteorological Data

Based on convenience and safety of historical data application, B/S mode is used instead of database management structure of C/S mode, and it can not only combine database and network, but also realize the safe use of historical data online. High-level programming language is used to develop a online management and application system of historical meteorological data based on B/S mode. System data import function can import ground report file sequence of Xuzhou （ including five county-level stations） into the database, construct Oracle database of Xuzhou and the five stations since 1953, and establish data tables of time, day, ten-day, monthly, quarterly and annual historical data, weather information and so forth. Management software of database server is established to realize instruction-level management and scheduling of database and a balanced distribution of resources among users. At the same time, a Web-based management application interface is set up to meet users＇ needs to retrieve a variety of repositories, and it provides statistical query of time, day, ten-day, monthly, quarterly and annual historical data and climate data for each meteorological element, thereby meeting the needs of meteorological research and all sectors of society for statistical query of meteorological data.

To Whom Do Data Belong?——Data Ownership and Protection in the Context of Web-Crawlers

Platform data has already become an important asset for web-based companies,but this sort of data frequently includes large amounts of personal information.Platform data can be seen as belonging to an individual,belonging to a platform,belonging to some combinations of the two,or can be seen as a form of Internet-based public data.Analysis of legal clauses and doctrines as well as analysis based in legitimacy and consequentialism both fail to completely delineate data ownership.One potential reason for this is that there are many types of platform data,and that each type is highly dependent on circumstances.The determination of rights in regard to platform data should be done in a way which revolves around a contextual regulatory framework,one in which the rules of reason is applied on a case-by-case basis and in which gradual changes are done in a bottom-up manner,and not one which seeks to establish a universal set of data regulations.In actual judgments,factors such as the nature of the platform and the nature of the data crawling behavior should be comprehensively considered while ensuring a balance of data circulation and data protection.

Protection of Basic Human Rights in the Application of Big Data to Counter Terrorism

In the era of big data,the ways people work,live and think have changed dramatically,and the social governance system is also being restructured.Achieving intelligent social governance has now become a national strategy.The application of big data technology to counterterrorism efforts has become a powerful weapon for all countries.However,due to the uncertainty,difficulty of interpretation and potential risk of discrimination in big data technology and algorithm models,basic human rights,freedom and even ethics are likely to be impacted and challenged.As a result,there is an urgent need to prioritize basic human rights and regulate the application of big data for counter terrorism purposes.The legislation and law enforcement regarding the use of big data to counter terrorism must be subject to constitutional and other legal reviews,so as to strike a balance between safeguarding national security and protecting basic human rights.

Conflicts in Defining Data Ownership in China’s Digital Transformation and the Regulatory Path

China is aggressively pursuing digital transformation,and data,alike labor,technology,capital,and knowledge,has become as a crucial factor of production.Digital transformation is accelerating the emergence of a data-intensive society,and the ensuing difficulties of balancing freedom and responsibility,openness and security,as well as free sharing and legal regulation are posing new challenges to national and social governance.Among these challenges,defining data ownership,the social disorder and anomie brought about by the unclear definition of data ownership,and data ownership regulatory path are new propositions that need to be urgently addressed in this data-intensive society.This paper systematically explains the theoretical meaning and practical value of data ownership through a literature review on the analysis of domestic and foreign scholars as well as research think tanks,compares the differences and inherent conflicts between the definition of data ownership by the government,enterprises,and society in China,thoroughly compares the definition standards of the European Union,the United States,and Japan,and on this basis,discusses the formation of a definition of data ownership that meets the requirements of China’s digital transformation.

VB中运用Data和ADO Data连接数据库的方法

该文首先介绍了visual basic中Data控件和ADO Data控件的主要功能,然后详细介绍了使用Data控件和ADO Data控件实现visual basic和数据库的连接方法,并给出了操作数据库控件的属性和方法。

DETERMINGING BPA UNDER UNCERTAINTY ENVIRONMENTS AND ITS APPLICATION IN DATA FUSION

Dempster-Shafer (DS) theory of evidence has been widely used in many data fusion ap- plication systems. However, how to determine basic probability assignment, which is the main and the first step in evidence theory, is still an open issue. In this paper, a new method to obtain Basic Probability Assignment (BPA) is proposed based on the similarity measure between generalized fuzzy numbers. In the proposed method, species model can be constructed by determination of the min, average and max value to construct a fuzzy number. Then, a new Radius Of Gravity (ROG) method to determine the similarity measure between generalized fuzzy numbers is used to calculate the BPA functions of each instance. Finally, the efficiency of the proposed method is illustrated by the classi- fication of Iris data.

Air-combat behavior data mining based on truncation method

This paper considers the problem of applying data mining techniques to aeronautical field.The truncation method,which is one of the techniques in the aeronautical data mining,can be used to efficiently handle the air-combat behavior data.The technique of air-combat behavior data mining based on the truncation method is proposed to discover the air-combat rules or patterns.The simulation platform of the air-combat behavior data mining that supports two fighters is implemented.The simulation experimental results show that the proposed air-combat behavior data mining technique based on the truncation method is feasible whether in efficiency or in effectiveness.

DETERMINATION OF PERMANENT OPTIMAL DATA POINTS AND AN EFFICIENT ALGORITHM FOR LAD PROBLEM

This paper gives a definition of permanent optimal data point of Least Absolute Deviation(LAD)problem.Some theoretical results on non-degenerate LAD problem are obtained.For computing LAD problem,an efficient,algorithm is given according to the idea of permanent optimal data point.Numerical experience shows that our algorithm is better than many of others,including the famous B R algorithm.

Rural Habitation Multistage Nature Boundary Extraction Based on Geographic Name Database

In order to extract the boundary of rural habitation, based on geographic name data and basic geographic information data, an extraction method that use polygon aggregation is raised, it can extract the boundary of three levels of rural habitation consists of town, administrative village and nature village. The method first extracts the boundary of nature village by aggregating the resident polygon, then extracts the boundary of administrative village by aggregating the boundary of nature village, and last extracts the boundary of town by aggregating the boundary of administrative village. The related methods of extracting the boundary of those three levels rural habitation has been given in detail during the experiment with basic geographic information data and geographic name data. Experimental results show the method can be a reference for boundary extraction of rural habitation.

利用ADO Data控件实现与不同数据库的连接

Visual Basic是一种通用性很强的程序设计语言,无论通讯、数据库、多媒体、工具程序甚至Internet,都可以使用Visual Basic。就数据库而言,使用Visual Basic可以让从未接触数据库的用户一行程序也不写,就能创建出一个可以浏览。

开发无DATA语句的READ命令

在BASIC语言中,通过READ语句给变量赋值是常用的数据输入手段。READ与循环语句配合使用,可以向多个变量送入数据,而编程却极其简洁。在数据量很大的情况下,使用READ的优点尤为明显。但是READ所读的数据必须事先用手工输入到DA-TA语句中,这个要求在实时处理的场合是难以满足的。 在某些实时测量工作中,需要对每次采集的数据加以整理和计算。

DBT-PDP:Provable data possession with outsourced data batch transfer based on blockchain

In the scenario of large-scale data ownership transactions,existing data integrity auditing schemes are faced with security risks from malicious third-party auditors and are inefficient in both calculation and communication,which greatly affects their practicability.This paper proposes a data integrity audit scheme based on blockchain where data ownership can be traded in batches.A data tag structure which supports data ownership batch transaction is adopted in our scheme.The update process of data tag does not involve the unique information of each data,so that any user can complete ownership transactions of multiple data in a single transaction through a single transaction auxiliary information.At the same time,smart contract is introduced into our scheme to perform data integrity audit belongs to third-party auditors,therefore our scheme can free from potential security risks of malicious third-party auditors.Safety analysis shows that our scheme is proved to be safe under the stochastic prediction model and k-CEIDH hypothesis.Compared with similar schemes,the experiment shows that communication overhead and computing time of data ownership transaction in our scheme is lower.Meanwhile,the communication overhead and computing time of our scheme is similar to that of similar schemes in data integrity audit.

数据产权法律构造论

在数字经济环境中,数据已成为一种新型生产要素,需要更好地挖掘和开发其经济价值。数据不同于传统有体物以及知识产权客体的特征和属性使其在法律制度构建和运行上也具有特殊性。数据产权制度是数据基础制度的核心内容,其应涵盖保护数据主体合法权益、协调和平衡数据利益关系、促进数据有序流动和分享、促进数据要素利益公平分配等内容。数据产权的法律构造旨在建立数据资源持有权、数据加工使用权和数据产品经营权的数据动态流转和价值实现机制,最终服务于数字经济发展目标。

数据要素市场化配置的法治推进——兼论《数据二十条》相关条款设计

数据要素市场化配置的程度与水平决定了充分释放数据要素动能的程度,对加快数据产业链、价值链重构与转型升级意义重大。数据要素市场化配置的前提是明确数据产权归属,基础是构建统一开放的数据要素市场,发展是健全高效的定价机制,底线是保障数据要素安全发展。我国虽已明确了数据这一新型生产要素的重要地位,但相关法律尚未明确数据的产权归属,全国统一的数据要素市场尚未建立,数据要素定价机制尚未明确,数据要素市场交易与监管的边界也尚未清晰,所有这些阻碍了数据要素市场化配置的充分实现。故需立足数据要素市场的特征与现实,以数据产权结构性分置制度促进数据动态权属流动,构建统一开放的数据要素交易市场机制,同时厘清数据监管边界,保障数据要素市场安全发展,实现数据要素高水平、高质量、高效率的市场化配置。

气象基础信息一张图设计和实现

气象基础信息一张图作为气象数据资源与行业间数据融合的应用示范,通过构建时空联动的气象大数据应用基础,解决多源气象数据融合应用服务问题。气象基础信息一张图基于高分辨率气象网格数据空间化处理、长序列海量网格数据任意时空范围检索以及气象数据与三维地形融合服务3项关键技术,实现多源异构时空数据的统一接入、处理、存储、管理和服务。气象基础信息一张图整合基础地理、自然资源、生态环境、社会经济、气象五大数据资源,面向不同气象应用场景,通过动态组合构建专题服务,实现多源数据快速服务和高效应用。气象基础信息一张图为2022年北京冬奥会及冬残奥会的圆满举办等国家重大活动、2021年郑州“7·20”特大暴雨气象预报复盘服务以及气象数据的社会化服务共享提供应用服务保障,在服务“生命安全、生产发展、生活富裕、生态良好”方面提供有效支撑。

大数据赋能基础教育学业质量评价的机理、困境与破解路径

大数据重塑了教育评价生态,推动了基础教育学业质量评价的转型与变革。大数据通过革新评价理念、优化评价方式、扩展评价内容、改进评价结果,全面赋能基础教育学业质量评价。然而,囿于大数据的“双刃剑”属性,基础教育学业质量评价面临着数据滥用、教师数据素养缺失、学生主体性消解等现实困境。为破解困境,大数据赋能基础教育学业质量评价应从加强顶层设计、提升教师数据素养、厘清数据技术价值观念等方面着力,推动基础教育高质量发展。

数字经济时代数据安全风险防范体系之构建与优化

随着人工智能技术的发展,全球进入“数据驱动”时代,数据流动创造价值的同时也带来日趋严重的安全危机。针对以数据滥用、数据泄露、数据污染为代表的数据安全事件,亟须通过建立全面、科学、有效的数据安全风险防范体系加以解决。然而,数据的法律属性与权利归属在理论上尚未廓清,数据流通边界的界定、数据安全综合防御机制的建立、公权与私权的博弈、数据安全保护与数据开发利用之间的内在张力都在不同程度上影响和制约了数据安全风险防范体系的建构。通过明确数据共享的权责归属,健全数据流动安全保护机制以及建立数据全生命周期风险预警防御机制有助于深入探明数据安全保障的政策法制完善之路。

基础教育资源配置大数据分析平台的整体架构与运行保障

教育大数据是反映基础教育资源配置现状、需求和问题的数据集合,也是重塑基础教育资源配置结构、构建良好教育生态的有效工具。教育大数据能够为资源精准配置提供客观依据、助力理性决策、拓展实践路径、提供监测反馈,可从数据资源层、处理层、分析层和可视化层,整体架构基础教育资源配置大数据分析平台,实现多学段基础教育数据精准采集、多模态基础教育数据分类储存、多因素基础教育数据指标计量、多维度基础教育数据结果呈现。基础教育资源配置大数据分析平台顺利运行的保障措施主要包括:政策跟进,赋予数据驱动合法地位;强化治理,保障平台教育数据质量;注重成效,发挥数据分析平台价值;多元联动,助力数据分析平台共建。通过这些措施,努力实现数据驱动基础教育资源优化配置,促进决策科学化、供给精准化、评估动态化。