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Electronic Booking System for Laboratories and Laboratory Equipment
Povoda, Lukáš ; Mach, Václav (referee) ; Schimmel, Jiří (advisor)
The main aim of this paper is to create the database structure and the web interface of the reservation system. This system is for the reservation of the laboratories and of the measuring equipement (for hire). System was created by the most widely language intended for creating Web application - language PHP, and database system MySQL, specifficaly base on the storage system InnoDB formed for relation database and the transaction. This paper descbires the princip of the work of modern patterns like Model-View-Presenter or Dependency injection and their both practical use. The code of the web application has been based on PHP framework Nette, on PHP library dibi created for database MySQL, on library mPDF created for generation of the PDF files from HTML code. System has been created according to convention of framework Nette and already mentioned design pattern, so it means that all changes such as spreading, changes of implemented funcions, changes of design of web interface, work with the datas or implemenation of the new interface and of new funcions will be simpler and take less time then for example the use of the system without convention and pattern.
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Machine Understanding for Text Messages Used in Aviation
Lieskovský, Pavol ; Rajnoha, Martin (referee) ; Povoda, Lukáš (advisor)
This work deals with problems of NOTAM in text format, which is used in aeronautics. It documents the difference between text and digital format of NOTAM, special types of NOTAM messages and items from which the NOTAM consist of. It describes syntax and the functions of program, which was made within the frame of this thesis. The program is fully capable of correct parsing and processing of the NOTAM. The program can display each area of processed NOTAM messages in map and also provides detection of collision between these areas and flight plan
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Web Portal for Support of Education
Vicen, Šimon ; Povoda, Lukáš (referee) ; Schimmel, Jiří (advisor)
The thesis is focused on creation of web page based on wordpress development system in work with single sign-on login system via VUT web site in Brno. Thesis stepwise explains SSO atributes and ways how we can achieve this goal to make it work within given web services. Moreover, the thesis also explains functions of eduid.cz federation and technologies that it works with. Practical part is dealing with design of web, web applications, front-end cloud storage accessed by users and page working with login system via VUT sites and registering its users.
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Text Mining Based on Artificial Intelligence Methods
Povoda, Lukáš ; Tučková,, Jana (referee) ; Brezany, Peter (referee) ; Burget, Radim (advisor)
This work deals with the problem of text mining which is becoming more popular due to exponential growth of the data in electronic form. The work explores contemporary methods and their improvement using optimization methods, as well as the problem of text data understanding in general. The work addresses the problem in three ways: using traditional methods and their optimizations, using Big Data in train phase and abstraction through the minimization of language-dependent parts, and introduction of the new method based on the deep learning which is closer to how human reads and understands text data. The main aim of the dissertation was to propose a method for machine understanding of unstructured text data. The method was experimentally verified by classification of text data on 5 different languages – Czech, English, German, Spanish and Chinese. This demonstrates possible application to different languages families. Validation on the Yelp evaluation database achieve accuracy higher by 0.5% than current methods.
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Handwritten text recognition using a sliding window
Ďuriš, Denis ; Povoda, Lukáš (referee) ; Rajnoha, Martin (advisor)
This bachelor thesis deals with optical character recognition. It focuses on recognizing hand-written text. The theoretical introduction describes the methods used for optical character recognition and selected machine learning methods. Subsequently, the work describes two methods for making cutouts of characters, using a sliding window. Cutouts are used in training and testing datasets of machine learning models. The document includes methods to improve the accuracy of character recognition. The accuracy of the models is evaluated in conclusion. Charcters in cutouts are clasified by an automated recognition program.
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Data collection from Twitter
Kmeť, Juraj ; Povoda, Lukáš (referee) ; Komosný, Dan (advisor)
The bachelor thesis deals with creating application for data gathering from social network Twitter. Data is gathered in real time with variable length of gathering. Theoretical part describes social network Twitter as a client but also as a tool for data gathering. The bachelor thesis identifies limits which need to be respected during the creation of Twitter applications. Another topic of the thesis is PlanetLab network, which is well known mainly by the network researchers and developers of network applications. History of PlanetLab is captured within the second chapter and the difference between PlanetLab and other research networks. Practical part contains guide for application development in programming language Python. Process of the application disctribution to the PlanetLab nodes is enclosed as well. Last chapter analyses data collection and maximum speed of data gathering in the created system.
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Tool for Automatic Information Obtaning from the Web
Poliak, Jakub ; Harár, Pavol (referee) ; Povoda, Lukáš (advisor)
This bachelor thesis deals with programming of a tool for collecting positive and negative comments from one of the most popular Chinese e-shop to a database. It will be used for deep learning of an artificial neural network which should distinguish positive text from negative. Application was programmed in Java with the use of JSON-simple and jsoup libraries.
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Job Scheduling in Logistic Warehouses
Povoda, Lukáš ; Uher, Václav (referee) ; Karásek, Jan (advisor)
The main aim of this thesis is flow shop and job shop scheduling problem in logistics warehouses. Managing and scheduling works is currently often problem. There is no simple solution due to complexity of this problem. This problem must be resolved because of a lack efficiency of work with a higher load such as during the christmas holidays. This paper describes the methods used to solve this problem focusing mainly on the use of search algorithms, evolutionary algorithms, specifically grammar guided genetic programming. This paper describes the problem of job shop scheduling on a simple theoretical example. The implemented algorithm for solving this problem was subjected to tests inspired on data from real warehouse, as well as synthetically created tests with more jobs and a greater number of workers. Synthetic tests were generated randomly. All tests were therefore run several times and the results were averaged. In conclusion of this work are presented the results of the algorithm and the optimum parameter settings for different sizes of problems and requirements for the solution. Genetic algorithm has been extended to calculate fitness of individuals with regard to number of collisions, extended to use priority rules during run of evolution, and some parts of algorithm was parallelized.
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