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Full-Text Articles in Computer Engineering
Mindful: A Novel Virtual System Migration Decision-Making Framework For Automated Cyber-Resiliency, Nicholas James Lowing
Mindful: A Novel Virtual System Migration Decision-Making Framework For Automated Cyber-Resiliency, Nicholas James Lowing
Theses and Dissertations
Virtual system migration has revolutionized modern computing. As an advantageous byproduct of virtualization, virtual system migration has allowed for cheaper, more robust cloud management. The selection of a destination host during migration is a key component of migration management. However, there is currently no state-of-the-art, standardized framework for making this decision. Previous work related to automated load balancing is plentiful, but when load balancing is not the primary focus of the cloud management strategy there is a lack of research. We focus on this case, where virtual systems are no longer moved based on some predefined optimization pattern, but rather …
Mitigating Loss Of Control In General Aviation: A Human-Systems Integrated Flight Test Method For Mapping Pilot Cognition And Aircraft Dynamics, Tiziano Bernard
Mitigating Loss Of Control In General Aviation: A Human-Systems Integrated Flight Test Method For Mapping Pilot Cognition And Aircraft Dynamics, Tiziano Bernard
Theses and Dissertations
General aviation (GA) loss of control accidents, in the United States, have continued to occur despite efforts by government and non-government research agencies. The lack of data during loss of control events (due to the absence of data recorders in small aircraft) does not allow for an accurate reconstruction of the accidents, causing accident investigators to focus on generic causes like pilot error. Flight test research has shown that there are various systems induced causal factors that can potentially set up an aircraft to depart controlled flight and do not aid pilot efforts. An example of these causal factors is …
A Framework For Characterizing The Security Posture Of Cyber Systems, Matthew Ridley
A Framework For Characterizing The Security Posture Of Cyber Systems, Matthew Ridley
Theses and Dissertations
Modern day applications can be spread across multiple virtual or physical systems, and be accessed or attacked by pretty much any one any where. Cybersecurity is used to mitigate these cyber threats but there are limited resources that can be dedicated to security. As result, trade-offs and decisions must be made around what is prioritized and what isn’t. Cyber risk management provides methodologies for identifying threats, evaluating risks and making decisions, however, it can be difficult to determine whether the system is actually secure enough and the risk is actually within an acceptable parameters. This thesis provides a framework for …
Holistic Approach For Characterizing The Performance Of Wireless Sensor Networks, Amar Yusof Jaffar
Holistic Approach For Characterizing The Performance Of Wireless Sensor Networks, Amar Yusof Jaffar
Theses and Dissertations
Researchers are actively investigating wireless sensor networks (WSNs) with respect to node design, architecture, networking protocols, and processing algorithms. However, few researchers consider the impact of deployments on the performance of a system. As a result, an appropriate deployment simulator that estimates the performance of WSNs concerning several deployment variables is needed. This research presents a holistic deployment framework that assists decision makers in making optimum WSN deployment choices by considering the terrain of their region of interest and type of deployment. This framework employs empirical propagation models to predict the performance of the deployment in terms of connectivity, coverage, …
Real-Time Facial Expression And Speech Emotion Recognition App Development On Mobile Phones Using Cloud Computing, Humaid Saif Saeed Alasli Alshamsi
Real-Time Facial Expression And Speech Emotion Recognition App Development On Mobile Phones Using Cloud Computing, Humaid Saif Saeed Alasli Alshamsi
Theses and Dissertations
Emotion plays a vital role in humans’ daily lives. Understanding emotions and recognizing how to react to others’ feelings are fundamental to engaging in successful social interactions. Emotion recognition through facial expression and speech play a significant role in human communication. This subject is becoming important in academic research as new techniques such as emotion recognition from speech context inspire us to recognize how emotions are related to the content we are uttering. The demand and importance of emotion recognition have highly increased in many applications in recent years, such as video games, human-computer interactions, cognitive computing, and affective computing. …
Vanishing Connections: Application Resiliency Through Cross-Network Tcp Migration, David Elliott
Vanishing Connections: Application Resiliency Through Cross-Network Tcp Migration, David Elliott
Theses and Dissertations
Computer applications are subject to a plethora of security challenges, ranging from concerns over network monitoring to avoiding expensive and damaging intrusion and compromise. A vast number of techniques exist to mitigate applications’ vulnerability to these threats: network policies can be adjusted, traffic can be rerouted, firewalls can be installed, hosts can be hardened, applications can be patched. A large body of research exists to improve the security of hosts in this context. However, for applications that have already been the subject of damaging attacks, we no longer focus primarily on security, but shift to resiliency, or the capacity of …
Design And Simulation Of An Intelligent Self-Adaptive System For A Smart Home, Basman M. Hasan Alhafidh
Design And Simulation Of An Intelligent Self-Adaptive System For A Smart Home, Basman M. Hasan Alhafidh
Theses and Dissertations
Home automation and control systems as basic elements of smart cities have played a key role in the development of our homes environments . They have a wide range of applications in many fields at home such as security and monitoring, healthcare, energy, and entertainment applications. The improvement of humans’ living standards make people keep trying to delegate many of their needs to a home automation system. Such a system has been built with capabilities of predicting what the user intends to do in smart home environment. However, there are many issues that need more investigation and solutions, such as: …
Human-Centered Design Of A 3d-Augmented Strategic Weather Management System For The Aviation Community, Sébastien Léonce Paul Boulnois
Human-Centered Design Of A 3d-Augmented Strategic Weather Management System For The Aviation Community, Sébastien Léonce Paul Boulnois
Theses and Dissertations
Convective weather is one of the main causes of accidents in the National Airspace System according to the Federal Aviation Administration. The purpose of this research, aligned with current NextGen research efforts, was to determine how weather information, presented in 2D and/or 3D, and associated with interaction features, could impact airline pilots’ weather-related situation awareness and decision-making capabilities. Human-Centered Design principles, along with Design Thinking, were used and led to the design of a 3D-Augmented Strategic Weather Management System aiming to satisfy this research question. The system is called “Onboard Weather Situation Awareness System” (OWSAS) in the scope of this …
Improving Stb Devices’ Parental Control, Mahmood Fawzi Alfathe
Improving Stb Devices’ Parental Control, Mahmood Fawzi Alfathe
Theses and Dissertations
In this dissertation, an IPTV system was designed with new viewer parental control authentication method. People deal with traditional IPTV systems that use simple authentication numeric passcodes, and this topic did not receive the attention to overcome its security problems. In this dissertation two contributions were introduced, the first one is to design and implement an IPTV system that uses humans’ Biometrics authentication instead of numeric passwords; the second contribution was presented by integrating and testing the efficiency of the suggested solution as an authentication key against traditional numerical passcodes. Also, the characteristics of this new method were tested. In …
Automatic Speech Recognition Adaptation For Various Noise Levels, Azhar Sabah Abdulaziz
Automatic Speech Recognition Adaptation For Various Noise Levels, Azhar Sabah Abdulaziz
Theses and Dissertations
The automatic speech recognition (ASR) is a set of complicated algorithms that convert the intended spoken utterance into a textual form. Acoustic features, which are extracted from the speech signal, are matched against a trained network of linguistic and acoustic models. The ASR performance is degraded significantly when the ambient noise is different than that of the training data. Many approaches have been introduced to address this problem with various degrees of complexity and improvement rates. The general pattern of solving this issue lies in three categories: empowering features, train a general acoustic model and transform models to match noisy …
Digital Automatic Speech Recognition Using Kaldi, Sarah Habeeb Alyousefi
Digital Automatic Speech Recognition Using Kaldi, Sarah Habeeb Alyousefi
Theses and Dissertations
The Automatic speech recognition (ASR) system is one of most important technologies that used for human-machine interaction. The main goal of the ASR system is to recognize different natural languages that are spoken by humans. The difficulties of these recognition systems depend on many factors, such as noises, variability of the speakers, and problems of continuous speech. For that reason, many researchers and foundations have designed different kinds of licensed toolkits and software that are specialized in building speech recognition systems, including , Julius, Sphinx-4, RWTH ASR, and HTK toolkits. In this thesis, Kaldi toolkit, which is one of the …
Speech Emotion Recognition Using Connectionist Models In A Tandem System, Mary Najafi
Speech Emotion Recognition Using Connectionist Models In A Tandem System, Mary Najafi
Theses and Dissertations
This article presents a tandem Speech Emotion Recognition (SER) system by which 8 archetypal emotions can be differentiated based upon two different types of acoustic features as inputs to Artificial Neural Network (ANN) models. The two types of features that are fed into the classifiers reveal the degree of excitement and pleasentness of speech. The author has implied the time-based characteristics of speech in the feature extraction method by monitoring the trend of local features through time. Thus, two global features are proposed that are derived from Teager Energy Operator (TEO)-based (T EOg) and spectral features, Mel-Frequency Cepstral Coeffcients (MF …
Pollen Grains Recognition Based On Computer Vision Methods, Amar Idrees Daood
Pollen Grains Recognition Based On Computer Vision Methods, Amar Idrees Daood
Theses and Dissertations
The classification of pollen grains is a main task in many disciplines including ecology, forensic sciences, allergy control, and oil exploration. In these application areas, visual inspection is the common method used for classifying pollen. However, recognition by visual inspection consumes much time and effort. Even though some level of automation exists, the automatic recognition of pollen grains remains an open problem. Current pollen-classification solutions rely on measurements of visual cues such as contour or texture. However, these features do not capture the visual complexity of information needed for discriminating among various species of pollen, especially when both a large-scale …