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吉林广播电视大学学报 2022年第5期 150-153页

作者：张平吉林开放大学吉林长春130022

21世纪早已进入了大数据时代,大数据产生时的高并发特性使得其在产生并被写入数据库磁盘时可能存在诸如数据不一致、不完整的质量问题。作为后端软件开发人员,在业务需求实现时或多或少都遇到过这种问题,这就要求我们必须了解和应用数... 详细信息

21世纪早已进入了大数据时代,大数据产生时的高并发特性使得其在产生并被写入数据库磁盘时可能存在诸如数据不一致、不完整的质量问题。作为后端软件开发人员,在业务需求实现时或多或少都遇到过这种问题,这就要求我们必须了解和应用数据库的事务特性。本文重点研究基于my sql数据库如何保证事务的四大特性以及事务并发会带来哪些问题,最后总结提出了事务隔离级别的一些解决方案。

关键词： my sql 事务数据库

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基于my sql的江苏设施农业智能数据库的设计与实现

基于MY SQL的江苏设施农业智能数据库的设计与实现

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中国畜牧兽医学会信息技术分会2011年学术研讨会

作者：凡燕曹静朱科峰戴起伟江苏省农业科学院农业经济与信息研究所南京　210014

针对目前江苏设施农业信息资源管理存在的问题，提出了江苏设施农业智能数据库研究方案，对该数据库的功能需求进行了全面分析，并根据功能需求构建了基于my sql的江苏设施农业数据库，实现了对江苏设施农业信息资源的智能化管理。

关键词： my sql 设施农业智能数据库信息资源管理

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Component Stacks for Enterprise Applications

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IEEE SOFTWARE 2016年第2期33卷 93-98页

作者： Louridas, Panos Athens Univ Econ & Business Athens Greece

Mobile enterprise application development is transitioning from sql-based traditional servers toward JavaScript for server and client. MEAN as a component stack is replacing LAMP, with a growing number of adopters and Web applications. As the world turns faster, we'll see increasingly flexible and evolving component stacks. In this instalment of the Software Technology department, Panos Louridas gives an introduction to LAMP and MEAN and shows how to practically use MEAN. I look forward to hearing from both readers and prospective column authors.

关键词： Servers Databases HTML Browsers Programming Software Linux Software Engineering MEAN LAMP Linux Apache my sql PHP Java Script Mongo DB No sql sql Express Jode Js Angular JS Relational Databases Software Development

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Auto JSON: An Automatic Transformation Model for Converting Relational Database to Non-relational Documents

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INTERNATIONAL JOURNAL OF ADVANCED COMPUTER SCIENCE AND APPLICATIONS 2023年第3期14卷 661-668页

作者： Revathi, K. Tamilselvi, T. Dhanwanth, Batini Dhivya, M. Panimalar Engn Coll Dept Comp Sci & Engn Chennai India Panimalar Inst Technol Dept Comp Sci & Engn Chennai India

In recent days, the demand for dealing large set of distributed data obsoletes the relational database and its structured query language (sql) solutions in practice and paves the way for novel solutions in the name of non-relational database as not-only sql (Nosql). The Nosql offers dynamic, flexible, scalable, highly available, greater performance and near real-time access to the distributed nature of voluminous data used for current industrial applications. Apart from these giant features of Nosql, the sql is still found to be in operation because of its popularity and standard. This paper projected an algorithm to convert the relational documents of mysql into any document oriented Nosql databases automatically without destructing the existing relational database setup and installing the Nosql from scratch in the core machines. Java Script Object Notation (JSON) is a human readable data interchange format, being used in web development. The characteristics of JSON widened its use cases from web development to database storage. The Mongo DB, one of the most popular document oriented Nosql adapts JSON format for its storage. The proposed algorithm is built based on its schema definition and the performance is captured through evaluating it against a sample database from hospital management system. The findings are discussed with great interest of addressing the challenges and revealing the scope for improvement.

关键词： -Distributed data document oriented NOsql hospital management system Mongo DB my sql

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Smart Parking With Automated Billing System 15

Smart Parking With Automated Billing System

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15th International Conference for Internet Technology and Secured Transactions (ICITST)

作者： Hunusekattte, Dhruva PES Inst Technol Dept Elect & Commun Bengaluru India

ISBN: (纸本)9781913572211

In this paper, aptly named as 'Smart Parking with Automated Billing System', a system is proposed with least human intervention to achieve an efficient billing system for a parking lot. By managing an efficient and automated billing system, the waiting time of each user is reduced, and thereby allowing the user to have a seamless and hassle-free experience. It also helps in lowering the amount of daily vehicle emissions by reducing the waiting period. This system is implemented on an ARM CORTEX M3 Board which has a low power consumption and functions in real time connected with an ESP-8266, mysql (an open source database management system), RFID tags, a reader module and a GSM module for mobile communication.

关键词： ESP-8266 my sql Rfid tags ARM CORTEX M3 GSM module

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Real-Time Machine Learning for Air Quality and Environmental Noise Detection 8

Real-Time Machine Learning for Air Quality and Environmental...

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8th IEEE International Conference on Big Data (Big Data)

作者： Shah, Sayed Khushal Tariq, Zeenat Lee, Jeehwan Lee, Yugyung Univ Missouri Sch Comp & Engn Kansas City MO 64110 USA Univ Seoul Coll Architecture Myongji Seoul South Korea

ISBN: (纸本)9781728162515

In metropolitan cities, outdoor air pollution and ambient outdoor noise transmission are significant environmental hazards, degrading indoor environmental quality. Natural ventilation is often a viable option for diluting indoor air pollutants, but transportation noise transmission is a crucial ecological conflict. Therefore, personal control over the concentration of outdoor/indoor air pollutants and noise levels is a significant threshold for natural ventilation availability. This study proposes real-time data detection and notification solutions using sensors and artificial intelligence (AI) to improve indoor air quality and outdoor air quality and outdoor noise transmission. An intelligent real-time detection and notification system was implemented in a distributed computing framework with cloud and edge computing. The objective of this study is placed on three facets: (1) development of sensors and NVIDIA Jetson Nano prototype for air quality and noise level detection, (2) application of machine learning for air quality and noise level prediction and classification, and (3) web interface for real-time monitoring and prediction for air quality and noise level detection. The results showed that the proposed user interface provides building occupants with real-time data of outdoor/indoor Air Quality Index (AQI) and noise levels for the optimized occupant control over Indoor Air Quality (IAQ). The personal control over indoor environmental quality (IEQ) enables occupants to promote natural ventilation behaviors and integrate with the existing building system on optimized IEQ by interacting with AI-based real-time data.

关键词： Internet of Things (IoT) Arduino Uno Jetson Nano my sql Web-interface Indoor air quality Indoor environment Machine Learning

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Stock Exchange Analysis using Hadoop user experience (Hue)

Stock Exchange Analysis using Hadoop user experience (Hue)

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International Conference on Intelligent Sustainable Systems (ICISS)

作者： Sirisha, N. Kiran, K. V. D. K L Univ Dept Comp Sci & Engn Vaddeswaram Andhra Pradesh India MLR Inst Technol Dept Comp Sci & Engn Hyderabad India

ISBN: (纸本)9781538619599

Stock exchange is the place where trading of shares is done in terms of sales and purchase. The purpose of this work is to create a software that analyse the previous stock data of certain companies with the help of certain software like java, visual basics,. Net etc.., The procedure after obtaining different stock market analysis based upon different factors like inflation, dollar, other economic factors etc.., we need to apply different data obtaining algorithms to check which data mining algorithms is efficient. The tool that is used is Hadoop. It is concluded from the study that in order to improve the index value of books, it is necessary to manage macroeconomics factors effectively. The government, banks must always keep an eye on this factor because this factors influence the price return of NSE NIFTY.

关键词： Hive Hue Sqoop Hadoop NASDAQ data sets my sql

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Rainfall forecasting using parallel and distributed analytics approaches on big data clouds

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JOURNAL OF DISCRETE MATHEMATICAL SCIENCES & CRYPTOGRAPHY 2019年第4期22卷 687-695页

作者： Alam, Mahboob Amjad, Mohd Jamia Milia Islamia Univ Dept Comp Engn New Delhi 110025 India

In cloud environment, big data analytics is a very innovative idea;Big data is defined as a very huge quantity of data. To extract meaning full value from it we need different technologies for analysis of the data. Big data Analytic is used to study pattern of historical data and the effect of changes of different parameters. Rainfall Forecasting has been a standout amongst the most intriguing and captivating space and it assumes a noteworthy part in meteorology and daily human life. Rainfall forecasting is used to estimate the probability of whether it will rain or not. Rainfall situation is the state of atmosphere at a given time in terms of different parameter like temperature, humidity and wind speed. Forecasting of rainfall is important to facilitate preparing for the finest and the nastiest of the climate. India is agrarian country so it is essential to know in advance about climate. This paper presents big data analytics for Rainfall forecasting and studies the advantage of using it. The algorithm which is used in this project is Time Series. The intention of time series analysis is generally in two ways, one is to recognize or representation the stochastic mechanisms that gives rise to an observed series and second is to predict or forecast the future value of an arrangement in light of the historical backdrop of that arrangement. Forecasts are prepared for new data when the actual result may not be known until some future date. What's to come is being anticipated, yet all earlier perceptions are quite often treated similarly.

关键词： Big data my sql HDFS Hadoop MapReduce Cloud

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sql Server和mysql在高职教学中异同性的分析与比较

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数字技术与应用 2021年第1期39卷 204-206页

作者：张海越范曦无锡科技职业学院江苏无锡214028

数据库课程是高等职业教育中计算机及其相关专业的基础核心课程,同时也作为一门通识教育课程在很多其它专业进行选修,sql Server和mysql作为两种非常典型的关系型数据库[1]常常用于数据库课程的教学中[1]。文章根据笔者多年的教学经验... 详细信息

数据库课程是高等职业教育中计算机及其相关专业的基础核心课程,同时也作为一门通识教育课程在很多其它专业进行选修,sql Server和mysql作为两种非常典型的关系型数据库[1]常常用于数据库课程的教学中[1]。文章根据笔者多年的教学经验和实验实践总结,对sql Server和mysql数据库在高职教学中的相似性与差异性进行了详细的分析与比较,期望对学习数据库的学生及从事数据库教学的老师有一定的帮助作用。

关键词： sql Server my sql 数据库 DML 触发器

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DEVELOPMENT AND IMPLEMENTATION OF FINANCIAL MANAGEMENT SYSTEM FOR E-GOVERNANCE AT PUNJAB AGRICULTURAL UNIVERSITY

DEVELOPMENT AND IMPLEMENTATION OF FINANCIAL MANAGEMENT SYSTE...

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作者： Ashu Mittal Punjab Agricultural University

学位级别：硕士

These days, it seems like everything is happening online, and accounting is no exception. While many financial bookkeeping practices have been computerized for some time, online accounting and bookkeeping is still relatively new. In a large organization, accounting requires a lot of paperwork, and maintaining accurate records can be terribly difficult. So there is an essence of computer software that provides applications for easy data entry and record of financial transactions. Keeping this in mind, Financial Management System application software has been developed. FMS application software enhances the way organizations record financial transactions and flow information through their divisions and departments. It allows easy updation of financial records electronically, without having to deal with stacks of paper. Also software application help speed the time it takes to update records and keep employees informed of important financial information. FMS plays significant role in decision making processes. This software helps senior management to prepare financial statements such as income statements. The database has been designed using mysql and the application has been developed using PHP, JavaScript, AJAX, CSS and HTML.

关键词： Financial Management System (FMS) my sql PHP Java Script AJAX CSS HTML

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