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Smart Fitness Assistent
Matějka, Martin ; Orság, Filip (referee) ; Goldmann, Tomáš (advisor)
The thesis addresses the issue of determining repetitions and measuring the performance of athletes in public fitness centers. It proposes a combination of software and hardware capable of providing feedback to fitness center users. The process of developing software and hardware for data measurement and evaluation is outlined. These results are processed almost immediately after the completion of the exercise and can be presented to the user immediately. The presented combination of technologies offers a new way of monitoring and improving performance in the fitness environment from the perspective of the fitness center.
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Perfecting the analysis of 10Gbit/s computer network
Ťápal, Tomáš ; Polívka, Michal (referee) ; Škorpil, Vladislav (advisor)
The master’s thesis consists of several parts. Describes the technology 10 Gbps Ethernet. Analyzer Ixia and Endace presents, especially their use for traffic analysis and stress testing the network devices. It deals with documents RFC concerning the routers and switch testing. Thesis includes the reports of tests switches and router performed by RFC 2544 and RFC 2889 documents. Part of the thesis is dedicated to COMBO FPGA cards. Documentations to the analyzers is created in this thesis and macro is on the CD for presentation of measurement results.
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Machine Learning Optimization of KPI Prediction
Haris, Daniel ; Burget, Radek (referee) ; Bartík, Vladimír (advisor)
This thesis aims to optimize the machine learning algorithms for predicting KPI metrics for an organization. The organization is predicting whether projects meet planned deadlines of the last phase of development process using machine learning. The work focuses on the analysis of prediction models and sets the goal of selecting new candidate models for the prediction system. We have implemented a system that automatically selects the best feature variables for learning. Trained models were evaluated by several performance metrics and the best candidates were chosen for the prediction. Candidate models achieved higher accuracy, which means, that the prediction system provides more reliable responses. We suggested other improvements that could increase the accuracy of the forecast.
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Machine Learning Optimization of KPI Prediction
Haris, Daniel ; Burget, Radek (referee) ; Bartík, Vladimír (advisor)
This thesis aims to optimize the machine learning algorithms for predicting KPI metrics for an organization. The organization is predicting whether projects meet planned deadlines of the last phase of development process using machine learning. The work focuses on the analysis of prediction models and sets the goal of selecting new candidate models for the prediction system. We have implemented a system that automatically selects the best feature variables for learning. Trained models were evaluated by several performance metrics and the best candidates were chosen for the prediction. Candidate models achieved higher accuracy, which means, that the prediction system provides more reliable responses. We suggested other improvements that could increase the accuracy of the forecast.
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Aplikace Business Intelligence v online retailu
Haloun, Petr ; Pour, Jan (advisor) ; Šedivá, Zuzana (referee)
The thesis focuses on application of business intelligence in online retail. The work summarizes the benefits of BI usage in online retail and provides an overview of the areas, where BI and Analytics is commonly used. Further, the thesis includes theoretical research with primary focus on business performance evaluation metrics and describes BI market leaders. The performance metrics theoretical research is supported by a survey in a global online fashion retail company that author conducted and summarized. Moreover, a practical design and implementation of a specific real-life BI solution is proposed and presented. The thesis added value is mainly author s proposal of BI solution design and its implementation for a global online retail company, which was successfully deployed as a main BI reporting system of the company. The description includes data integration part, data modelling part and the presentation layer. Thesis includes also practical examples of the outputs based on the final solution. Besides, highly valuable is also author s theoretical research in the field.
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Perfecting the analysis of 10Gbit/s computer network
Ťápal, Tomáš ; Polívka, Michal (referee) ; Škorpil, Vladislav (advisor)
The master’s thesis consists of several parts. Describes the technology 10 Gbps Ethernet. Analyzer Ixia and Endace presents, especially their use for traffic analysis and stress testing the network devices. It deals with documents RFC concerning the routers and switch testing. Thesis includes the reports of tests switches and router performed by RFC 2544 and RFC 2889 documents. Part of the thesis is dedicated to COMBO FPGA cards. Documentations to the analyzers is created in this thesis and macro is on the CD for presentation of measurement results.
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Customizing MMSP methodology fot performance testing with IBM Rational Performance tester
Vomáčko, Vít ; Buchalcevová, Alena (advisor) ; Doležel, Michal (referee)
This thesis aims to extend the MMSP methodology with performance testing intended for the Competence Center for Quality management on VŠE. Through general introduction to performance testing, definition of terms and metrics, detailed description of the preparation and implementation of performance testing and to it tightly connected testing known as operability. Processed functionality will be demonstrated on a selected tool intended for a performance testing and the functionality of the application will be veryfied at the Competence Centre. The methodology should bring order to the team and elevate it to a level that is requested by customers. The work is aimed both at professional audience in the field of testing, where focus is on explaining methodology for performance testing, and also at small testing teams in general, for which it describes how to approach small team testing. Access to methodology could also help centers in other areas to be able to add more added value to their services. My knowledge comes from QA teams of Sun Microsystems, VŠE Competency center on project for IBM and CZNIC registrar of domain names .CZ, which takes care of Czech domain operation.
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