Contribution of the MERISE-Type Conceptual Data Model to the Construction of Monitoring and Evaluation Indicators of the Effectiveness of Training in Relation to the Needs of the Labor Market in the Republic of Congo

This study proposes the use of the MERISE conceptual data model to create indicators for monitoring and evaluating the effectiveness of vocational training in the Republic of Congo. The importance of MERISE for structuring and analyzing data is underlined, as it enables the measurement of the adequacy between training and the needs of the labor market. The innovation of the study lies in the adaptation of the MERISE model to the local context, the development of innovative indicators, and the integration of a participatory approach including all relevant stakeholders. Contextual adaptation and local innovation: The study suggests adapting MERISE to the specific context of the Republic of Congo, considering the local particularities of the labor market. Development of innovative indicators and new measurement tools: It proposes creating indicators to assess skills matching and employer satisfaction, which are crucial for evaluating the effectiveness of vocational training. Participatory approach and inclusion of stakeholders: The study emphasizes actively involving training centers, employers, and recruitment agencies in the evaluation process. This participatory approach ensures that the perspectives of all stakeholders are considered, leading to more relevant and practical outcomes. Using the MERISE model allows for: • Rigorous data structuring, organization, and standardization: Clearly defining entities and relationships facilitates data organization and standardization, crucial for effective data analysis. • Facilitation of monitoring, analysis, and relevant indicators: Developing both quantitative and qualitative indicators helps measure the effectiveness of training in relation to the labor market, allowing for a comprehensive evaluation. • Improved communication and common language: By providing a common language for different stakeholders, MERISE enhances communication and collaboration, ensuring that all parties have a shared understanding. The study’s approach and contribution to existing research lie in: • Structured theoretical and practical framework and holistic approach: The study offers a structured framework for data collection and analysis, covering both quantitative and qualitative aspects, thus providing a comprehensive view of the training system. • Reproducible methodology and international comparison: The proposed methodology can be replicated in other contexts, facilitating international comparison and the adoption of best practices. • Extension of knowledge and new perspective: By integrating a participatory approach and developing indicators adapted to local needs, the study extends existing research and offers new perspectives on vocational training evaluation.

PowerDesigner建模时CDM与PDM的转换原则

介绍了如何利用E-R图建立概念数据模型(CDM),如何将概念数据模型 转换为物理数据模型(PDM),阐述了使用PowerDesigner将概念数据模型转换为物理数 据模型的基本原则.

CDM在建筑结构设计阶段的应用

近年来,随着建筑信息化的推广,BIM技术凭借其可视化、参数化、集成性等优势,在建筑结构设计阶段展现出极大的优势。然而,基于IFC格式的传统BIM技术因其自身的一些弊端终究无法真正服务于实际工程。本文将阐述其存在的弊端并介绍CDM技术以及基于CDM的BIM技术在建筑结构设计中的应用、优势与发展。

中国天气雷达基数据模型与CDM集成研究

现有标准格式雷达基数据解析工具在设计上存在通用性和抽象性不足的问题,不便于雷达数据的解析和处理。为了解决这个问题,本文基于Unidata的CDM(Common Data Model),设计和构建了中国天气雷达基数据模型,在数据模型层面实现了对天气雷达标准格式基数据的访问,并以Unidata开源的NetCDF Java库和IDV(Integrated Data Viewer)可视化软件为基础,形成了一套基于CDM的天气雷达标准格式基数据内容提取和可视化分析工具。本研究以广州雷达新旧两种格式基本反射率数据对比为例,展示了研究成果在多普勒天气雷达标准格式基数据评估中的应用。结果表明:本研究成果方便了雷达标准格式基数据的使用,对雷达标准格式基数据的业务应用起到了促进作用。本研究成果亦可应用于雷达基数据处理与分析相关的实际业务和科研工作中,为雷达资料的应用提供基础支持。

OMOP CDM在临床科研中的应用思考

目的:针对RCT应用于临床研究的不足,借鉴国外经验,探索如何利用临床医疗数据进行观察性研究,挖掘临床医疗数据的价值。方法:从当前临床科研数据利用现状、国外的观测性医疗结果合作组织(OMOP)的通用数据模型(CDM)的经验出发,探讨了CDM与临床科研的关系,并对其应用于临床科研的难点进行了思考与总结。结果:OMOP CDM应用于临床观察性研究有值得借鉴的地方,但仍需要考虑数据结构化程度、数据质量控制、标准化术语、隐私保护等问题。结论:其方法对临床数据应用具有一定的参考价值和借鉴作用。

Applying XML for designing and interchanging information for multidimensional model

In order to exchange and share information among the conceptual models of data warehouse, and to build a solid base for the integration and share of metadata, a new multidimensional concept model is presented based on XML and its DTD is defined, which can perfectly describe various semantic characteristics of multidimensional conceptual model. According to the multidimensional conceptual modeling technique which is based on UML, the mapping algorithm between the multidimensional conceptual model is described based on XML and UML class diagram, and an application base for the wide use of this technique is given.

Multi-dimensional database design and implementation of dam safety monitoring system

To improve the effectiveness of dam safety monitoring database systems, the development process of a multi-dimensional conceptual data model was analyzed and a logic design wasachieved in multi-dimensional database mode. The optimal data model was confirmed by identifying data objects, defining relations and reviewing entities. The conversion of relations among entities to external keys and entities and physical attributes to tables and fields was interpreted completely. On this basis, a multi-dimensional database that reflects the management and analysis of a dam safety monitoring system on monitoring data information has been established, for which factual tables and dimensional tables have been designed. Finally, based on service design and user interface design, the dam safety monitoring system has been developed with Delphi as the development tool. This development project shows that the multi-dimensional database can simplify the development process and minimize hidden dangers in the database structure design. It is superior to other dam safety monitoring system development models and can provide a new research direction for system developers.

Hubble Diagram Test of 280 Supernovae Redshift Data

We compare the Hubble diagram calculated from the observed redshift (RS)/magnitude (μ) data of 280 Supernovae in the RS range of z = 0.0104 to 8.1 with Hubble diagrams inferred on the basis of the exponential tired light and the Lambda Cold Dark Matter (ΛCDM) cosmological model. We show that the experimentally measured Hubble diagram follows clearly the exponential photon flight time (tS)/RS relation, whilst the data calculated on the basis of the ΛCDM model exhibit poor agreement with the observed data.

THE CNSDTF TOPOLOGICAL VECTOR MODEL AND STRUCTURE

Geo-Spatial Data Transfer Standard is an important part of 'National Spatial Data Infrastructure(NSDI)' ,as well as a necessary means for data sharing. 'Chinese National Geo-Spatial Data Transfer Format (CNSDTF)' was approved by National Quality Technology Supervise Bureau in 1999 with the standard serial number of 17798-1999. It is designed to support vector and raster spatial data. This paper describes the vector part of CNSDTF, including design ideas, main characters, conceptual model, definition of spatial object, and file structure.

Modelling and Analysis of the Hubble Diagram of 280 Type SNIa Supernovae and Gamma Ray Bursts Redshifts with Analytical and Empirical Redshift/Magnitude Functions

Based on an analysis of 280 Type SNIa supernovae and gamma-ray bursts redshifts in the range of z = 0.0104 - 8.1 the Hubble diagram is shown to follow a strictly exponential slope predicting an exponentially expanding or static universe. At redshifts > 2 - 3 ΛCDM models show a poor agreement with the observed data. Based on the results presented in this paper, the Hubble diagram test does not necessarily support the idea of expansion according to the big-bang concordance model.

Integration of biosafety surveillance through Biosafety Surveillance Conceptual Data Model

The global movement of people and goods has increased the risk of biosecurity threats and their potential to induce large economic,social,and environmental harm.Integration of biosafety monitoring networks has become a top priority for addressing biosafety issues.In order to resolve the data standards and integration problems in the field of biosafety in China,the Biosafety Surveillance Conceptual Data Model(BSCDM),which is an object-oriented,hierarchically designed,flexible and scalable biosafety surveillance concept data model,is proposed in this article.This model is based on the integration of business process management and data resources of disease surveillance,animal disease surveillance and potential invasive biological monitoring.In reference to the Public Health Conceptual Data Model(PHCDM)and Federal Enterprise Architecture(FEA),BSCDM conducts a thorough analysis of biosafety monitoring activities,records basic information requirements of biosafety monitoring and provides data set standards for biosafety-related activities.It is developed with the Unified Modeling Language(UML)and could be applied as an open standard for accelerating data analysis and promoting collaboration.This study attempts to integrate biosafety monitoring data and the presented model has been tested in the detection of dengue fever in China and will be applied to other biosafety fields.

军事概念模型研究综述

军事概念模型是一切军事建模仿真系统开发的共同起点,军事概念模型及其相关技术是解决建模仿真重用、互操作和VV&A的关键因素之一,对于军事建模仿真系统开发具有重要的意义。概述了军事概念建模研究的主要内容,包括军事概念模型相关的概念、定义、建模语言、建模过程、关键技术和工具,简介了其用途,并对未来的发展进行了展望。

数据仓库技术研究

在数据仓库及其相关技术方面,人们进行了大量的研究和探索,产生了许多的方法和技术,介绍数据仓库的概念模型、数据组织、元数据和数据集市等方面的研究成果,并提出需进一步研究的有关问题。

数据仓库概念模型的设计

要设计一个能够正确反映用户的需求 ,又能够使用户易于理解的数据仓库概念模型是一项不同于传统事务处理系统概念模式设计的重要工作 .文章提出了一个类似于传统事务的 ER模型的 DWER模型 ,给出了对 DWER模型的评价 ,并与其它相关的模型进行了比较 。

OHDSI通用数据模型及医学术语标准国内应用现状分析

介绍观察性健康医疗数据科学与信息学计划(OHDSI)及通用数据模型(CDM)工作原理,选取中美两国从事临床、术语标准研究的相关人员开展问卷调查,总结国内CDM及医学术语标准应用现状,分析应用难点并提出发展建议。

基于数据挖掘的产品概念设计建模研究

在产品概念设计过程中,引入数据挖掘技术和方法,提出了基于数据挖掘的全息虚拟产品概念设计模型,开发了数据挖掘工具,建立了面向产品概念设计方案生成的数据仓库;研究建立决策树算法的数据挖掘模型,以支持度为目标,实现从所建立的机械产品库、设计规则库、领域知识库中挖掘相关数据、信息和知识,从而极大地支持机械产品方案创新设计过程。以机床传动机构设计为例,说明了采用决策树方法的数据挖掘模型来实现机械产品概念设计的功能结构映射过程。

室内地图空间数据矢量化采集方法研究

室内地图空间数据是室内地图可视化表达的基础,底图矢量化是目前室内地图空间数据采集的主要方式。由于室内外空间环境及其对象特征存在较大差别,传统矢量化方法对室内地图的适用性较差。根据室内地图的特点和概念模型,研究了矢量化采集室内地图空间数据的主要流程与方法,重点分析了提高采集效率的智能化处理方式。最后,结合开发的试验系统给出了室内地图数据采集的应用示例。

基于UML的多维数据概念建模方法研究

针对数据仓库中的概念建模,提出了一种改进的多维数据概念建模方法。该方法利用UML(unifiedmodelinglanguage)的扩展机制,通过定义相应的类,可以对数据仓库中概念建模的各种情况进行图形化描述。根据具体背景对该方法的应用进行了描述,并与其它的相关概念建模方法进行了对比。

家庭健康档案概念数据模型及其应用研究

目的构建家庭健康档案概念数据模型和数据模板,为家庭健康档案的数据采集、信息共享和信息系统建设提供标准支持。方法概念框架以居民健康档案相关业务规范为依据,数据模型参照HL7参考信息模型(RIM)和HL7数据类型,数据模板参照IHE PCC已发布的标准模板,将现行的武威市居民新型电子健康档案系统中家庭电子健康档案模块的数据项与模型和模板进行对照。建模方法采用统一建模语言(UML)。结果家庭健康档案概念数据模型包含家庭标识信息和家庭健康及其影响因素2个维度,家族性疾病等14个子维度。数据模板包含标识类、一般记录项目、家族性疾病,共产生72个数据元,现有系统中尚缺30个数据元。结论家庭健康档案概念数据模型和数据模板有助于实现健康档案内容的完整性,保证信息表达的规范化和标准化。

星链ER模型:一种数据仓库概念设计模型

对于流程工业中的数据仓库建设 ,存在一贯性质量分析的需求 ,即前一个工序的工艺可能影响下一个工序的产品质量 .针对这种需求 ,提出了一种数据仓库的概念设计模型 ,星链 ER模型 .其中引入了链式事实主题结构的概念 ,并把度量细分为传递型度量与非传递型度量 ,给出了星链 ER模型的图形表示法以及由概念模型到逻辑模型的转换规则 .该模型可以方便地转化成多种逻辑模型如星型模式、雪花模式以及星座模式 .