Architecture Commons^™

Spatial Release From Masking In Anechoic And Reverberant Environments, Drake Andrew Hintz

Durham School of Architectural Engineering and Construction: Dissertations, Thesis, and Student Research

Listening with both ears provides children with access to binaural and monaural cues that are helpful for understanding speech in competing babbles. Specifically, when the target and masker are spatially separated, children can gain an intelligibility benefit which is known as spatial release from masking (SRM). Recent work [Peng et al., 2021 JASA] suggested that school-age children demonstrated immature SRM using binaural cues that are distorted by reverberation. In this follow-up study, we further investigate the effect of reverberant distortion on individual auditory spatial cues, namely binaural and monaural head shadow cues. We compare SRM between adults and school-age children …

Continuous Time Recurrent Network For Human Activity Detection, Abdallah Al Zubi

Durham School of Architectural Engineering and Construction: Dissertations, Thesis, and Student Research

Human activity detection is crucial to personalize the control of the building environment. For example, understanding certain human activities (e.g., walking, sitting, etc.) for an occupant in a building helps provide the proper thermal comfort control. However, these applications require large-scale neural networks that are challenging to implement and train.

In this thesis, we implemented a continuous-time recurrent neural network implementation (CTRNN) network that can solve real-time human activity detection with a smaller-size network. The CTRNN uses differential equations with a time constant to describe the neuron equations. It was implemented and trained for the first time using TensorFlow. Specifically, …

Framework Development For Evaluating The Impacts Of Nursing Home Acoustics On Older Adults, Brian J. Puckett

Durham School of Architectural Engineering and Construction: Dissertations, Thesis, and Student Research

Nursing homes are complex, multi-faceted environments which provide necessary medical supervision and housing for older adults in need of long-term care. With cognitive and sensory impairments being common adversities faced throughout the aging process, research is needed to better understand characteristics of the built environment which may contribute to difficulties for nursing home residents. Noise, in particular, has been shown to be problematic for nursing home residents in a variety of ways including disrupting sleep, associating with behavioral and psychological symptoms of dementia, and leading to increased readmission to hospitals due to verbal communication misunderstandings. As the older adult population …

Data-Driven Framework For Predicting And Scheduling Household Charging Of Evs, Ahmad Almaghrebi

Durham School of Architectural Engineering and Construction: Dissertations, Thesis, and Student Research

The increasing prevalence of EV charging poses challenges for power grid stability and quality due to high charging load demands. Without effective energy management strategies for EV charging, the simultaneous power demand from numerous EVs can strain the electric grid, impacting power quality and the wholesale electricity market. To address these challenges, this dissertation presents a comprehensive framework comprising five critical tasks: analyzing EV charging behavior, optimizing charging schedules, developing predictive models, analyzing aggregated impacts, and evaluating implications of predicted user behavior on scheduling. By examining EV charging behavior at household and public charging stations, this study aims to understand …

Signal Classification Based On Analog Computing Using Mems Network, Mohammad Okour

Durham School of Architectural Engineering and Construction: Dissertations, Thesis, and Student Research

The rising complexity of machine learning algorithms and Artificial Intelligence in many applications, such as smart building, has prompted the development of alternate computing options. Because of their compact size, low power consumption, and diverse functionality, microelectromechanical systems (MEMS) have emerged as a possible candidate. This thesis focuses on using MEMS networks as computing units to classify a simple signal classification task using neural network methodology. The study intends to show the potential of using MEMS as an analog computing unit by discussing the advantage of the bi-stability pull-in behavior and hysteresis to create an accurate classifier of these waveforms. …

Airborne Infection Risks From Covid-19 In Meat Processing Plants And Different Solutions To Mitigate The Risks, Debayan Shom

Durham School of Architectural Engineering and Construction: Dissertations, Thesis, and Student Research

Meat processing plants are linked to the rapid spread of COVID-19 cases. A related literature review shows a lack of proper ventilation standards for the meat processing plants for workers’ health and safety. Ventilation rates in these plants are considered adequate if the meat products are unadulterated. Thus, the air distribution and ventilation rate experiments were conducted in three meat processing plants. These measured ventilation rates were either compared to ASHRAE Std. 62.1 (2019) for a similar space or the design values provided by the plant’s administration. The measured values were low in common spaces, such as the cafeteria and …