|
|
Human Activity Recognition Using Smartphone
Novák, Andrej ; Červenák, Rastislav (referee) ; Burget, Radim (advisor)
The increase of mobile smartphones continues to grow and with it the demand for automation and use of the most offered aspects of the phone, whether in medicine (health care and surveillance) or in user applications (automatic recognition of position, etc.). As part of this work has been created the designs and implementation of the system for the recognition of human activity on the basis of data processing from sensors of smartphones, along with the determination of the optimal parameters, recovery success rate and comparison of individual evaluation. Other benefits include a draft format and displaying numerous training set consisting of real contributions and their manual evaluation. In addition to the main benefits, the software tool was created to allow the validation of the elements of the training set and acquisition of features from this set and software, that is able with the help of deep learning to train models and then test them.
|
|
|
Employing the ACP protocol in payment systems
Novák, Andrej ; Burda, Karel (referee) ; Strašil, Ivo (advisor)
Bachelors work focuses on the protocol for the cryptographic systems in payment systems developed for ÚTKO. The work summarizes the current state of the system for payment between the two devices, and work will show how protocol allows for pair of devices within the required activities to negotiate the transaction, negotiate the authentication method, make an authentication, deliver the access parameters and transfer statement. The purpose of this work is to develop scenarios inclusive protocol ACP in the payment system and evaluate them from the aspect of safety, performance data and universality.
|
|
|
Application for automatic labeling of multimedia data
Novák, Andrej ; Burget, Radim (referee) ; Číka, Petr (advisor)
Bachelor thesis focuses on issues of managing Multimedia database focusing on standard MPEG-7, the components and criteria of this standard will be the key to the managing of static digital images, because the MPEG-7 standard defines the description of multimedia content. Practical part will contain a programmed application, which will work with managing and storing multimedia database based on MPEG-7 standard.
|
|
|
Employing the ACP protocol in payment systems
Novák, Andrej ; Burda, Karel (referee) ; Strašil, Ivo (advisor)
Bachelors work focuses on the protocol for the cryptographic systems in payment systems developed for ÚTKO. The work summarizes the current state of the system for payment between the two devices, and work will show how protocol allows for pair of devices within the required activities to negotiate the transaction, negotiate the authentication method, make an authentication, deliver the access parameters and transfer statement. The purpose of this work is to develop scenarios inclusive protocol ACP in the payment system and evaluate them from the aspect of safety, performance data and universality.
|
|
|
Application for automatic labeling of multimedia data
Novák, Andrej ; Burget, Radim (referee) ; Číka, Petr (advisor)
Bachelor thesis focuses on issues of managing Multimedia database focusing on standard MPEG-7, the components and criteria of this standard will be the key to the managing of static digital images, because the MPEG-7 standard defines the description of multimedia content. Practical part will contain a programmed application, which will work with managing and storing multimedia database based on MPEG-7 standard.
|
|
|
Human Activity Recognition Using Smartphone
Novák, Andrej ; Červenák, Rastislav (referee) ; Burget, Radim (advisor)
The increase of mobile smartphones continues to grow and with it the demand for automation and use of the most offered aspects of the phone, whether in medicine (health care and surveillance) or in user applications (automatic recognition of position, etc.). As part of this work has been created the designs and implementation of the system for the recognition of human activity on the basis of data processing from sensors of smartphones, along with the determination of the optimal parameters, recovery success rate and comparison of individual evaluation. Other benefits include a draft format and displaying numerous training set consisting of real contributions and their manual evaluation. In addition to the main benefits, the software tool was created to allow the validation of the elements of the training set and acquisition of features from this set and software, that is able with the help of deep learning to train models and then test them.
|
guest ::
RSS feed.