COMPUTERIZED PREDICTION SYSTEM FOR THERMOPHYSICAL PROPERTIES

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The Influence of Social Media on College Choice among Undergraduates Majoring in Big Data Management and Application in China:Taking Guilin University of Electronic Technology as an Example

This study aims to investigate the influence of social media on college choice among undergraduates majoring in Big Data Management and Application in China.The study attempts to reveal how information on social media platforms such as Weibo,WeChat,and Zhihu influences the cognition and choice process of prospective students.By employing an online quantitative survey questionnaire,data were collected from the 2022 and 2023 classes of new students majoring in Big Data Management and Application at Guilin University of Electronic Technology.The aim was to evaluate the role of social media in their college choice process and understand the features and information that most attract prospective students.Social media has become a key factor influencing the college choice decision-making of undergraduates majoring in Big Data Management and Application in China.Students tend to obtain school information through social media platforms and use this information as an important reference in their decision-making process.Higher education institutions should strengthen their social media information dissemination,providing accurate,timely,and attractive information.It is also necessary to ensure effective management of social media platforms,maintain a positive reputation for the school on social media,and increase the interest and trust of prospective students.Simultaneously,educational decision-makers should consider incorporating social media analysis into their recruitment strategies to better attract new student enrollment.This study provides a new perspective for understanding higher education choice behavior in the digital age,particularly by revealing the importance of social media in the educational decision-making process.This has important practical and theoretical implications for higher education institutions,policymakers,and social media platform operators.

A Rule Management System for Knowledge Based Data Cleaning

In this paper, we propose a rule management system for data cleaning that is based on knowledge. This system combines features of both rule based systems and rule based data cleaning frameworks. The important advantages of our system are threefold. First, it aims at proposing a strong and unified rule form based on first order structure that permits the representation and management of all the types of rules and their quality via some characteristics. Second, it leads to increase the quality of rules which conditions the quality of data cleaning. Third, it uses an appropriate knowledge acquisition process, which is the weakest task in the current rule and knowledge based systems. As several research works have shown that data cleaning is rather driven by domain knowledge than by data, we have identified and analyzed the properties that distinguish knowledge and rules from data for better determining the most components of the proposed system. In order to illustrate our system, we also present a first experiment with a case study at health sector where we demonstrate how the system is useful for the improvement of data quality. The autonomy, extensibility and platform-independency of the proposed rule management system facilitate its incorporation in any system that is interested in data quality management.

Web-Based Data Management and Sharing System for Electron Proke Micro-analysis

This paper proposes a useful web-based system for the management and sharing of electron probe micro-analysis( EPMA)data in geology. A new web-based architecture that integrates the management and sharing functions is developed and implemented.Earth scientists can utilize this system to not only manage their data,but also easily communicate and share it with other researchers.Data query methods provide the core functionality of the proposed management and sharing modules. The modules in this system have been developed using cloud GIS technologies,which help achieve real-time spatial area retrieval on a map. The system has been tested by approximately 263 users at Jilin University and Beijing SHRIMP Center. A survey was conducted among these users to estimate the usability of the primary functions of the system,and the assessment result is summarized and presented.

XBase系统下的数据文件格式的比较与研究

本文介绍了Xbase系列数据库管理系统尤其Fox和VFP数据文件的差异 ,分析了VFP下的数据文件 ,结果表明系统对项目文件、数据库、表的管理均为二维表方式 ,在此基础上进一步分析研究了Fox与VFP数据文件的存储格式 ,对其在物理结构上的差异作了更为详尽地阐述。

DBASEⅢ中数值算法的实现

ＤＢＡＳＥⅢ，是一个数据库管理系统，但在数值计算上很弱，本文举出一些实例说明如何在ＤＢＡＳＥⅢ上实现数值计算上一些典型算法，同时也给出ＤＢＡＳＥⅢ的一些编程技巧。

Consistency maintenance for constraint in role-based access control model

Constraint is an important aspect of role based access control and is sometimes argued to be the principal motivation for role based access control (RBAC). But so far few authors have discussed consistency maintenance for constraint in RBAC model. Based on researches of constraints among roles and types of inconsistency among constraints, this paper introduces corresponding formal rules, rule based reasoning and corresponding methods to detect, avoid and resolve these inconsistencies. Finally, the paper introduces briefly the application of consistency maintenance in ZD PDM, an enterprise oriented product data management (PDM) system.

Advances in Educational Data Mining Models and the Application of Its Algorithms

In order to find an effective way to improve the quality of school management,finding valuable information from students' original data and providing feedback for student management are necessary. Firstly,some new and successful educational data mining models were analyzed and compared. These models have better performance than traditional models( such as Knowledge Tracing Model) in efficiency,comprehensiveness,ease of use,stability and so on. Then,the neural network algorithm was conducted to explore the feasibility of the application of educational data mining in student management,and the results show that it has enough predictive accuracy and reliability to be put into practice. In the end,the possibility and prospect of the application of educational data mining in teaching management system for university students was assessed.

A Certifiable Framework for Health Monitoring and Management

The scope of this paper is to provide an E2 Eperspective of health monitoring and management(HMM)and structural health mornitoring(SHM)as an integrated system element of an integrated system health monitoring and management(ISHM)system.The paper will address two main topics:(1)The importance of a diagnostics and prognostic requirements specification to develop an innovative health monitoring and management system;(2)The certification of a health monitoring and management system aiming at a maintenance credit as an integral part of the maintenance strategies.The development of a maintenance program which is based on combinations of different types of strategies(preventive,condition-based maintenance(CBM)and corrective maintenance…)for different subsystems or components and structures of complex systems like an aircraft to achieve the most optimized solution in terms of availability,cost and safety/certification is a real challenge.The maintenance strategy must satisfy the technical-risk and cost feasibility of the maintenance program.

数字化转型背景下高校图书馆数字基座的构建探索:以复旦大学图书馆为例

高校图书馆数字基座是一种支撑图书馆数字化转型的数字基础设施,其核心结构由数据中心、业务中心、基础服务中心、物联中心和AI服务中心组成,为业务转型和服务创新提供数据能力、通用业务能力和数字技术应用能力的支撑。本文以复旦大学图书馆数字基座的建设和成效为例,探索高校图书馆数字基座的建设思路、策略和方法,提出数字基座的建设需要在数字化转型战略指引下,适度超前规划并完善总体信息技术架构;围绕用户需求,从平台工具、数据资源、运营机制、场景创新、标准规范等方面进行系统性的构建和持续演进。

Sybase SQL Server与管理信息系统设计

从运行方式、数据库组织内容、事务管理方式、维护数据完整机制、安全保密措施、管理工具性能等方面，概括了ＳＱＬＳｅｒｖｅｒ的优点。

大数据时代高校学生管理信息化建设的战略研究

大数据背景下互联网、云计算以及人工智能等技术开始应用各个领域与行业中。从高校层面看,大数据技术为学生管理信息化建设提供技术支撑,同时也对高校学生管理工作提出新的要求。高校作为国内发展人才兴国战略的重要资源储备地,其管理水平将直接决定人才培育的质量。在这种情况下,高校应积极利用大数据技术不断强化教育管理质量,将管理工作的针对性、全面性与精确性提升新的水准,以此夯实高校育人管理工作基础,提升高校人才培养质量。

计算机在采矿登记工作中的应用——DBASE编程和MIS软件的比较

应用管理软件在行政管理工作中的作用及投入的重要性。以采矿登记管理为例，通过对ＤＢＡＳＥ数据库编程和ＭＩＳ管理软件各自特点的分析比较，结论是：应用ＭＩＳ管理软件可进行方便、快速的检索、查询和分析，无须手工编程的繁琐。

数据挖掘技术在高校学生评教中的应用研究

文章从当前高校学生评教的现实情况入手,概括论述了与数据挖掘技术相关的一系列内容,诸如数据挖掘的定义、过程以及方式,进而分析了数据挖掘技术在高校学生评教中的优势与价值,并重点阐述了数据挖掘技术在高校学生评教系统中的具体应用。旨在进一步突出数据挖掘技术与高校教育教学工作的紧密联系度,同时证明数据挖掘技术在促进高校学生评教方式改革以及切实提高高校教育教学质量中所产生的深远影响。

基于学生满意度的旅游目的地管理课程改革分析——以北京联合大学为例

旅游目的地管理课程是教育部《旅游管理类教学质量国家标准》规定的4门核心课程之一。因此,该课程的课程建设至关重要。从学生角度进行课堂教学满意度调查和评价是以“学生为中心”教学理念的一种体现。该文以旅游目的地管理课程为例,通过问卷调查了解旅游管理大类专业学生对该课程的满意度,并运用SPSS25.0进行问卷数据的统计分析,探讨与学生满意度有关的课程内容、教师教学等因素存在的问题,进一步挖掘学生对课程改革满意高低的深层原因,并尝试提出对策。

基于大数据技术的高校学生教育管理平台建设研究

大数据时代的来临为高校教育管理工作创新发展奠定了坚实的技术基础,大数据分析技术的广泛应用为学生管理工作开启了全新的视角。基于对大数据技术赋能高校教育管理工作的价值分析,探寻大数据分析技术在学生管理工作中的具体应用策略,并从技术层面深入探寻基于大数据技术的学生管理平台架构设计,对学生管理平台架构的相关技术和算法进行阐述,旨在为大数据时代背景下,高校学生管理工作应用大数据分析技术提供参考性建议。

数据可视化Power BI在职业院校学生管理中的应用

职业院校学生管理是一个重要而复杂的任务,需要学校管理人员的精心组织和有效执行。随着信息技术的发展和校园信息化建设的需求,部分职业院校的学生管理服务系统已初步建成。BI数据可视化可以有效地利用大量的系统数据,为院校管理者提高决策和治理水平提供依据。本文通过对BI数据可视化过程和结构进行分析,比较Power BI与传统型BI的差异,通过对Power BI数据可视化在职业院校学生管理中的应用分析和实践案例,验证数据可视化PowerBI在学生管理中的重要作用。

大数据背景下高校学生管理的挑战与对策

在大数据时代视域下,高校利用大数据技术,整合教育管理相关信息,可以更好开展学生管理活动,实施多样化评价,关注学生生活,为学生提供全面的教育教学资源。但在大数据技术的应用中,高校学生管理工作却面临数据整合、数据伦理及团队建设等方面的挑战,要求高校教师结合大数据的内涵、特点及作用的前提下,探索出科学合理的应对策略。

中东石油平台项目法兰管理特殊注意事项

中东石油平台项目,由于中东油品硫化氢含量高,硫化氢属于有毒有害气体,泄露的话对人体危害大,所以中东项目管线系统密封性要求高,特别是一些含硫化氢等酸性流体的系统,对于法兰密封的要求就更高,对于法兰类型的选择,相应特殊工艺对法兰管理方法和要求也提出相对于常规油气项目的一些特殊要求。为了保证法兰密封效果,就需要对法兰材料选择,法兰管理方式,螺栓摩擦系数等参数正确选择。