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Steal me your €motion
Rygálová, Monika ; Országhová, MA Kristína (referee) ; Sterec, Pavel (advisor)
The text deals with ways and methods of creating my diploma thesis called Steal me your €motion. The diploma thesis deals with the relationship between machine learning and emotionality. To what extent is artificial intelligence able to undergo emotional relationships and experiences defined by the physicality and experience of the human body. The topic of the work is the creation of a (fictional) inhuman entity that longs to learn from people as many bodily acts as possible that will help it infiltrate the human community. In addition to reflecting the current level of scientific knowledge, I bring an element of fiction and fiction.
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MCUXpresso Web application security
Mittaš, Tomáš ; Heriban, Pavel (referee) ; Roupec, Jan (advisor)
This thesis deals with testing of the security of web application MCUXpresso Web SDK Builder using ethical hacking techniques and tools. At the beginning, the history of ethical hacking and structure of web applications are briefly mentioned. The thesis then analyses the application itself from the user’s point of view, its parts before logging in and after logging in and the operation of this application. The following is a list of the most common vulnerabilities and weaknesses found in web applications to understand any vulnerabilities found. Furthemore, the thesis deals with the techniques and tools of web application security and compares them. The penultimate chapter deals with the use of Analysis and vulnerability scanning technique on the application MCUXpresso Web SDK Builder. Finally, an application security test plan is designed, while part of this plan is automated.
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MCUXpresso Web application security
Mittaš, Tomáš ; Heriban, Pavel (referee) ; Roupec, Jan (advisor)
This thesis deals with testing of the security of web application MCUXpresso Web SDK Builder using ethical hacking techniques and tools. At the beginning, the history of ethical hacking and structure of web applications are briefly mentioned. The thesis then analyses the application itself from the user’s point of view, its parts before logging in and after logging in and the operation of this application. The following is a list of the most common vulnerabilities and weaknesses found in web applications to understand any vulnerabilities found. Furthemore, the thesis deals with the techniques and tools of web application security and compares them. The penultimate chapter deals with the use of Analysis and vulnerability scanning technique on the application MCUXpresso Web SDK Builder. Finally, an application security test plan is designed, while part of this plan is automated.
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Sex assessment of skull using exocranial meshes from CT scans
Musilová, Barbora ; Brůžek, Jaroslav (advisor) ; Friedl, Lukáš (referee)
Sex estimation is a challenging problem in both forensic anthropology and bioarchaeology. Sexual dimorphism is most noticeably displayed by the pelvis; however in instances when it is not preserved, sex is estimated by skull. There is a multitude of approaches that use the skull, however, their population specificity and variable sexual dimorphism oscillation reduces their effectiveness (Bruzek and Murail, 2006). We base our contribution on the study by Abdel Fatah et al. (2014) that estimates sex based on exocranial and endocranial surfaces with a high success rate of 97%. Our approach uses anonymized CT scans of skulls from recent french population, from which the exocranial surface was segmented. On these surfaces, CPD-DCA (Dupej et al., 2014) was performed. We analyzed both form and shape (form after size normalization) of these surfaces in 104 skulls (53 males, 51 females) aged 18 to 92 years. The mean age was 58 years in females and 52.46 years in males. Classification was performed using support vector machines (SVM) with a radial kernel. Leave-one-out crossvalidation was also applied. The highest success rate (87.5 %) was achieved with the first 27 principal components of form. Classification of shape was less accurate by only 2 %. Even though our success rate was lower than that of Abdel...
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Steal me your €motion
Rygálová, Monika ; Országhová, MA Kristína (referee) ; Sterec, Pavel (advisor)
The text deals with ways and methods of creating my diploma thesis called Steal me your €motion. The diploma thesis deals with the relationship between machine learning and emotionality. To what extent is artificial intelligence able to undergo emotional relationships and experiences defined by the physicality and experience of the human body. The topic of the work is the creation of a (fictional) inhuman entity that longs to learn from people as many bodily acts as possible that will help it infiltrate the human community. In addition to reflecting the current level of scientific knowledge, I bring an element of fiction and fiction.
|
|
|
Sex assessment of skull using exocranial meshes from CT scans
Musilová, Barbora ; Brůžek, Jaroslav (advisor) ; Friedl, Lukáš (referee)
Sex estimation is a challenging problem in both forensic anthropology and bioarchaeology. Sexual dimorphism is most noticeably displayed by the pelvis; however in instances when it is not preserved, sex is estimated by skull. There is a multitude of approaches that use the skull, however, their population specificity and variable sexual dimorphism oscillation reduces their effectiveness (Bruzek and Murail, 2006). We base our contribution on the study by Abdel Fatah et al. (2014) that estimates sex based on exocranial and endocranial surfaces with a high success rate of 97%. Our approach uses anonymized CT scans of skulls from recent french population, from which the exocranial surface was segmented. On these surfaces, CPD-DCA (Dupej et al., 2014) was performed. We analyzed both form and shape (form after size normalization) of these surfaces in 104 skulls (53 males, 51 females) aged 18 to 92 years. The mean age was 58 years in females and 52.46 years in males. Classification was performed using support vector machines (SVM) with a radial kernel. Leave-one-out crossvalidation was also applied. The highest success rate (87.5 %) was achieved with the first 27 principal components of form. Classification of shape was less accurate by only 2 %. Even though our success rate was lower than that of Abdel...
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