Essays about: "Mobiltelefoner"

Showing result 1 - 5 of 129 essays containing the word Mobiltelefoner.

1. 1. Context-aware security testing of Android applications : Detecting exploitable vulnerabilities through Android model-based security testing

   University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Author : Ivan Baheux; [2023]
   Keywords : Android Application Security; Vulnerability Detection; Context-Awareness; Model-Based Security Testing; Domain Specific Language; Sécurité des Applications Android; Détection de Vulnérabilités; Sensibilité au Contexte; Tests de Sécurité Basés sur les Modèles; Langage Dédiés; Android-applikationssäkerhet; Upptäckt av sårbarheter; Kontextmedvetenhet; Modellbaserad säkerhetstestning; Domänspecifikt språk;

   Abstract : This master’s thesis explores ways to uncover and exploit vulnerabilities in Android applications by introducing a novel approach to security testing. The research question focuses on discovering an effective method for detecting vulnerabilities related to the context of an application. READ MORE

3. 2. Mobile phones and attention : An experimental study examining mobile phone distraction

   University essay from Luleå tekniska universitet/Institutionen för hälsa, lärande och teknik

   Author : Moa Taube; Linda Åkerlund; [2023]
   Keywords : attention; distraction; mobile phone; working memory; uppmärksamhet; distraktion; mobiltelefon; arbetsminne;

   Abstract : Mobile phones have become a natural part in our lives and with them, challenges and concerns rise. Mobile phones are designed to catch our attention, which equals unwanted distractions in many situations. Previous research is ambiguous as to in what situations mobile phones harm our attention and cause distraction. READ MORE

4. 3. Machine Learning Model for Localization in an Urban Environment

   University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Author : Erik Wallinder-Mähler; Magdalena Björk; [2023]
   Keywords : ;

   Abstract : The indoor localization problem has seen great improvements during the last tenyears and today it is possible to determine the location of electronic devices, such assmartphones, with centimeter precision. The aim of this project is to apply similar localizationmethods on multichannel antenna data gathered outdoors in an urban environment andanalyze the viability of this approach. READ MORE

5. 4. Automatic compilation and summarization of documented Russian equipment losses in Ukraine : A method development

   University essay from Försvarshögskolan

   Author : Carl Zaff; [2023]
   Keywords : Russian Equipment loss; Russo-Ukrainian War; Method development; Machine learning; Tesseract OCR; Oryxspioenkop; OSINT; Ryssland; Materielförlust; Rysk-ukrainska kriget; Metodutveckling; Maskininlärning; Tesseract OCR; Oryxspioenkop; OSINT;

   Abstract : Since the Russian invasion of Ukraine on the 24th of February 2022 – most of the United Nations have, in one way or another, participated in the most significant war of many decades. The war is characterized by Russia’s atrocious war crimes, illegal annexations, terror, propaganda, and complete disrespect for international law. READ MORE

6. 5. Exploration and Evaluation of RNN Models on Low-Resource Embedded Devices for Human Activity Recognition

   University essay from KTH/Mekatronik och inbyggda styrsystem

   Author : Helgi Hrafn Björnsson; Jón Kaldal; [2023]
   Keywords : Recurrent Neural Networks; Long Short-Term Memory Networks; Embedded Systems; Human Activity Recognition; Edge AI; TensorFlow Lite Micro; Recurrent Neural Networks; Long Short-Term Memory Networks; Innbyggda systyem; Mänsklig aktivitetsigenkänning; Edge AI; TensorFlow Lite Micro;

   Abstract : Human activity data is typically represented as time series data, and RNNs, often with LSTM cells, are commonly used for recognition in this field. However, RNNs and LSTM-RNNs are often too resource-intensive for real-time applications on resource constrained devices, making them unsuitable. READ MORE