Robert Gyorodi

A comparative study: MongoDB vs. MySQL

In this paper we will try to present a comparative study of non-relational databases and relational databases. We mainly focus our presentation on one implementation of the NoSQL database technology, namely MongoDB, and make a comparison with another implementation of relational databases, namely MySQL, and thus justifying why MongoDB is more efficient than MySQL. We will also present the advantages of using a non-relational database compared to a relational database, integrated in a forum in the field of personal and professional development. The NoSQL database used to develop the forum is MongoDB, and was chosen from a variety of non-relational databases, thanks to some aspects that we will highlight in this article. The database integration in the framework will also be presented.

AFOPT algorithm for multilevel databases

With the widespread computerization in business, government, and science, the efficient and effective discovery of interesting information from large databases becomes essential. Previous studies on data mining have been focused on the discovery of knowledge at single conceptual level, either at the primitive level or at a rather high conceptual level. This paper presents an algorithm based on the AFOPT algorithm for multilevel databases that uses the benefits of multileveled databases, by using the information gained by studying items from one concept level for the study of the items from the following concept levels.

A Comparative Study Between the Capabilities of MySQl Vs. MongoDB as a Back-End for an Online Platform

In this article we present a comparative study between the usage capabilities of MongoDB, a non-relational database, and MySQL’s usage capabilities, a relational database, as a back-end for an online platform. We will also present the advantages of using a non-relational database, namely MongoDB, compared to a relational database, namely MySQL, integrated in an online platform, which allows users to publish different articles, books, magazines and so on, and also gives them the possibility to share online their items with other people. Nowadays, most applications have thousands of users that perform operations simultaneously thus, it takes more than one operation to be executed at a time, to really see the differences between the two databases. This paper aims to highlight the differences between MySQL and MongoDB, integrated in an online platform, when various operations were executed in parallel by many users.

Precise ratio control structure for nonlinear blend processes

This paper proposes a precise structure solution for the ratio control of nonlinear processes blend stations. The main feature of the proposed structure is to give a good ratio performance for both set-point changes and load disturbances that might occur in any one of the loops. For each loops (two or more) a nonlinear structure based on a multiple model and nonlinearity compensator is proposed. The main advantages consist in a classic tuning procedure for each of the controllers and a very simple procedure for nonlinearity determination, suitable for industrial applications. All components of control structure ware implemented on real time control application.

A Novel Representation and Searching Algorithm for Opening Hours

Opening Hours can be considered a data type having a human representation; this means that it can be easily understood by human beings and hardly understood by computers because the lack of a standard structured representation. In essence, the opening hours gives us a simple information: opening state at a certain date and time, and this is our focus in this paper. So far, this kind of functionality does not exists in todays database management systems because there are no algorithms developed in this way. The purpose of this paper is to presents a novel and easy to implement algorithm for encoding opening hours in order to quickly search and get the opening state for records.

A Comparative Study between Applications Developed for Android and iOS

Now-a-days, mobile applications implement complex functionalities that use device’s core features extensively. This paper realizes a performance analysis of the most important core features used frequently in mobile application development: asynchronous multi-threaded code execution, drawing views/elements on the screen and basic network communications. While multiple mobile platforms have emerged in recent years, in this paper two well-established and popular operating systems were considered for comparison and testing: Android and iOS. Thus, two basic applications featuring the same functionality and complexity were developed to run natively on both platforms. Applications were developed by using development languages and tools recommended for each operating system. This paper aims to highlight the differences between the two operating systems by analyzing core feature performance metrics for both functionally identical mobile applications developed for each platform. Results obtained could be further used for guiding the optimization of application’s development process for each considered operating system.

A Comparative Study of Databases with Different Methods of Internal Data Management

The purpose of this paper is to present a comparative study between a non-relational MongoDB database and a relational Microsoft SQL Server database in the case of an unstructured representation of data, in XML or JSON format. We mainly focus our presentation on exploring all the possibilities that each type of database offers us, in the case that the data, which has to be stored, cannot or is not wanted to be normalized. This is a scenario most often found in production when, for the application that is being developed we are extracting unstructured data from social networks or all kinds of different channels that the user might have. The comparative study is based on the creation of a benchmark application developed in C# using Visual Studio 2013, which accesses databases created beforehand with proper optimizations that will be described.

Improve Query Performance On Hierarchical Data. Adjacency List Model Vs. Nested Set Model

Hierarchical data are found in a variety of database applications, including content management categories, forums, business organization charts, and product categories. In this paper, we will examine two models deal with hierarchical data in relational databases namely, adjacency list model and nested set model. We analysed these models by executing various operations and queries in a web-application for the management of categories, thus highlighting the results obtained during performance comparison tests. The purpose of this paper is to present the advantages and disadvantages of using an adjacency list model compared to nested set model in a relational database integrated into an application for the management of categories, which needs to manipulate a big amount of hierarchical data.

Acquaintance reminder using Google Glass

Our paper is about designing and developing an Android application, for Google Glass, called MyDetect and associated services, that can detect, save and recognize persons from different pictures taken with your wearable device. We designed and developed this innovative application to work on a pair of Google Glass [9], the future of wearable technology. The app has two modules: one that saves persons into a database, and another one to look over previously saved pictures to recognize and retrieve information about persons. We can save, practically, an unlimited number of persons into the database via the available Wi-Fi option from Google Glass, and also to send requests to find someone, so there is no need for additional devices to do all this work.

A Comparative Study of Relational and Non- Relational Database Models in a Web- Based Application

The purpose of this paper is to present a comparative study between relational and non-relational database models in a web-based application, by executing various operations on both relational and on non-relational databases thus highlighting the results obtained during performance comparison tests. The study was based on the implementation of a web-based application for population records. For the non-relational database, we used MongoDB and for the relational database, we used MSSQL 2014. We will also present the advantages of using a non-relational database compared to a relational database integrated in a web-based application, which needs to manipulate a big amount of data.