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Social and Behavioral Sciences Commons™
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- Affective computing (2)
- 3D face analysis (1)
- Artificial intelligence (1)
- Autism (1)
- Cognitive radio (1)
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- Cognitive radio networks (1)
- Computer vision (1)
- Emotion detection (1)
- Feature extraction (1)
- Feature representation (1)
- Frequency band (1)
- Frequency microwave (1)
- Harmonic detection (1)
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- Hyperspectral image (1)
- Image classification (1)
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- Sparse coding (1)
- Spectrum (1)
Articles 1 - 8 of 8
Full-Text Articles in Social and Behavioral Sciences
Emotion Detection Using An Ensemble Model Trained With Physiological Signals And Inferred Arousal-Valence States, Matthew Nathanael Gray
Emotion Detection Using An Ensemble Model Trained With Physiological Signals And Inferred Arousal-Valence States, Matthew Nathanael Gray
Electrical & Computer Engineering Theses & Dissertations
Affective computing is an exciting and transformative field that is gaining in popularity among psychologists, statisticians, and computer scientists. The ability of a machine to infer human emotion and mood, i.e. affective states, has the potential to greatly improve human-machine interaction in our increasingly digital world. In this work, an ensemble model methodology for detecting human emotions across multiple subjects is outlined. The Continuously Annotated Signals of Emotion (CASE) dataset, which is a dataset of physiological signals labeled with discrete emotions from video stimuli as well as subject-reported continuous emotions, arousal and valence, from the circumplex model, is used for …
Towards Characterizing Adversarial Opportunity And Behavior In Critical Infrastructure Network, Md Sharif Ullah
Towards Characterizing Adversarial Opportunity And Behavior In Critical Infrastructure Network, Md Sharif Ullah
Electrical & Computer Engineering Theses & Dissertations
The growth of information and communication technology is constantly revolutionizing various domains, e.g., energy utility systems, healthcare, the internet of things, etc. This inception of widespread cyber technology enables reliability and first operability of the system, yet simultaneously imposed a risk of significant impact due to disruption of safe and secure operation. The attack surface is expanding, creating a cyber exposure gap which indicates a higher threat landscape and increased risk of compromise. Motivated by this increased threat exposure, this dissertation investigates the attack surface as a static and dynamic indicator of adversary propagation, seeking an efficient modeling paradigm to …
Computational Modeling Of Facial Response For Detecting Differential Traits In Autism Spectrum Disorders, Manar D. Samad
Computational Modeling Of Facial Response For Detecting Differential Traits In Autism Spectrum Disorders, Manar D. Samad
Electrical & Computer Engineering Theses & Dissertations
This dissertation proposes novel computational modeling and computer vision methods for the analysis and discovery of differential traits in subjects with Autism Spectrum Disorders (ASD) using video and three-dimensional (3D) images of face and facial expressions. ASD is a neurodevelopmental disorder that impairs an individual’s nonverbal communication skills. This work studies ASD from the pathophysiology of facial expressions which may manifest atypical responses in the face. State-of-the-art psychophysical studies mostly employ na¨ıve human raters to visually score atypical facial responses of individuals with ASD, which may be subjective, tedious, and error prone. A few quantitative studies use intrusive sensors on …
Sparse Coding Based Feature Representation Method For Remote Sensing Images, Ender Oguslu
Sparse Coding Based Feature Representation Method For Remote Sensing Images, Ender Oguslu
Electrical & Computer Engineering Theses & Dissertations
In this dissertation, we study sparse coding based feature representation method for the classification of multispectral and hyperspectral images (HSI). The existing feature representation systems based on the sparse signal model are computationally expensive, requiring to solve a convex optimization problem to learn a dictionary. A sparse coding feature representation framework for the classification of HSI is presented that alleviates the complexity of sparse coding through sub-band construction, dictionary learning, and encoding steps. In the framework, we construct the dictionary based upon the extracted sub-bands from the spectral representation of a pixel. In the encoding step, we utilize a soft …
Transparent Spectrum Co-Access In Cognitive Radio Networks, Jonathan Daniel Backens
Transparent Spectrum Co-Access In Cognitive Radio Networks, Jonathan Daniel Backens
Electrical & Computer Engineering Theses & Dissertations
The licensed wireless spectrum is currently under-utilized by as much as 85%. Cognitive radio networks have been proposed to employ dynamic spectrum access to share this under-utilized spectrum between licensed primary user transmissions and unlicensed secondary user transmissions. Current secondary user opportunistic spectrum access methods, however, remain limited in their ability to provide enough incentive to convince primary users to share the licensed spectrum, and they rely on primary user absence to guarantee secondary user performance. These challenges are addressed by developing a Dynamic Spectrum Co-Access Architecture (DSCA) that allows secondary user transmissions to co-access transparently and concurrently with primary …
Detection Of Ofdm Signals Using Pilot Tones And Applications To Spectrum Sensing For Cognitive Radio Systems, Ahmed Temtam
Detection Of Ofdm Signals Using Pilot Tones And Applications To Spectrum Sensing For Cognitive Radio Systems, Ahmed Temtam
Electrical & Computer Engineering Theses & Dissertations
Nowadays there are an increasing number of wireless devices which support wireless networking and the need for higher data rate communication is increasing rabidly. As more and more systems go wireless, approaching technologies will face spectral crowding and existence of wireless devices will be an important issue. Because of the limited bandwidth availability, accepting the request for higher capacity and data rates is a challenging task, demanding advanced technologies that can offers new methods of using the available radio spectrum. Cognitive radio introduces a key solution to the spectral increasing issue by presenting the opportunistic usage of spectrum that is …
Sensitive Detection Of Novel Effects And Characteristic Signal Structure Of Higher Harmonic Detection In Wavelength Modulation Spectroscopy, Mohammad Amir Khan
Sensitive Detection Of Novel Effects And Characteristic Signal Structure Of Higher Harmonic Detection In Wavelength Modulation Spectroscopy, Mohammad Amir Khan
Electrical & Computer Engineering Theses & Dissertations
We discuss experimental and theoretical results of absorption features of the oxygen A-band transitions when synchronous detection at higher harmonics using Wavelength Modulation Spectroscopy (WMS) is performed. A key aspect of structure higher harmonic detection is discussed. It is shown that the signal magnitude and spectral locations of turning points and zero crossings of WMS signal demonstrate key signatures of collision dynamics of gaseous specie parameters and lineshape parameters. In addition, it is also shown that these salient features provide sensitive probes for any changes in the gas environment or lineshape parameters. We discuss several advantages and subtle physical effects …
The Development Of A Stepped Frequency Microwave Radiometer And Its Application To Remote Sensing Of The Earth, Richard Forrest Harrington
The Development Of A Stepped Frequency Microwave Radiometer And Its Application To Remote Sensing Of The Earth, Richard Forrest Harrington
Electrical & Computer Engineering Theses & Dissertations
The design, development, application, and capabilities of a variable frequency microwave radiometer are described. This radiometer has demonstrated the versatility, accuracy, and stability required to provide contributions to the geophysical understanding of ocean and ice processes. The design technique utilized a closed-loop feedback method, whereby noise pulses were added to the received electromagnetic radiation to achieve a null balance in a Dicke switched radiometer. Stability was achieved through the use of a constant temperature enclosure around the low loss microwave front end. The Dicke reference temperature was maintained to an absolute accuracy of 0.1 K using a closed-loop proportional temperature …