Digital Commons Network^™

Mixed Reality For In-Field Construction Activities: A Systematic Literature Review To Identify Challenges And Solutions, Sumanth Sai. P., Jason Lucas

The Professional Constructor

With the new industrial revolution, “Industry 4.0,” it is important to understand and incorporate the new standards and technologies evolving in the market. Industry 4.0 relies on the integrated use of big data and analytics coupled with various technologies to help make decisions and manage projects. This revolution has brought Mixed Reality (MR) into the construction field. Mixed reality (MR) offers significant benefits for smart industries, such as enhancing productivity, training, manufacturing, error correction, assembly, and packaging processes. But how feasible are Mixed Reality Technologies (MRTs) considering the high initial investment required for acquiring devices, subscribing to services, planning and …

Pa2blo: Low-Power, Personalized Audio Badge, Hemanth Sabbella, Dulaj Sanjaya Weerakoon, Manoj Gulati, Archan Misra

Research Collection School Of Computing and Information Systems

We present the hardware design and software pipeline for an ultra-low power device, in the form factor of a wearable badge, that supports energy efficient sensing, processing and wireless transfer of human voice commands and interactions. The proposed system, called PA2BLO, is envisioned to support both: (a) real-time, scalable, authorized voice based interaction and control of devices and appliances, and (b) longitudinal, low-power logging of natural voice interactions. PA2BLO in-troduces two key novel capabilities. First, it includes a low power, low-complexity voice authentication module that is able to reliably authenticate an authorized user only using low sampling rate (500 Hz) …

Infrared Investigation In Singapore (Iris) Observatory: Urban Heat Island Contributors And Mitigators Analysis Using Neighborhood-Scale Thermal Imaging, Clayton Miller, Vasantha Ramani, Clayton Miller

Research Collection College of Integrative Studies

This paper studies heat fluxes from contributors and mitigators of urban heat islands using thermal images and weather data. Thermal images were collected by a rooftop observatory between November 2021 and April 2022. Over the same period, weather stations were operating at several locations on a university campus in Singapore. From collected data, a method was defined to estimate sensible and latent heat fluxes from building façades, vegetation, and traffic. Before analyzing heat fluxes using the method, thermal images were calibrated against measurements made with contact surface sensors. Results show that the method can be used to study heat fluxes …

Circular Economy Policies For Decarbonization Of Us Commercial Building Stocks: Data Integration And System Dynamics Coflow Modeling Approach, Radwa Eissa, Islam H. El-Adaway

Civil, Architectural and Environmental Engineering Faculty Research & Creative Works

Despite the recognition of the built environment as a sector with high potential for reducing embodied emissions, there is a lack of national-level data on embodied carbon emissions attributed to the US commercial building stocks. Hence, there is a need to benchmark the current state of embodied emissions attributed to the commercial built environment and the impact of circular economy (CE) policies for their decarbonization to facilitate well-informed decision-making. This paper fills this knowledge gap through providing policy makers with a framework that estimates the current and future projections of embodied carbon emissions attributable to the US commercial building stocks …

Jet-Driven Mixing Regimes Identified In The Unsteady Isothermal Filling Of Rectangular Municipal Water Storage Tanks, Pramod Narayan Bangalore, K. (Kelly) O. Homan

Mechanical and Aerospace Engineering Faculty Research & Creative Works

Poor mixing of old and new water in municipal water storage vessels is a well-documented basis for potentially harmful water quality degradation in drinking water distribution systems. This numerical study investigates the effects of inflow and operational variables on mixing in the jet-driven filling process, with a particular focus on the transition from inadequate to sufficient mixing levels. An isothermal unsteady reynolds-averaged-navier-stokes volume-of-fluid (RANS-VOF) simulation is used to model the variable-volume filling process, accounting for the moving free surface following a draw-down in the stored water volume. A low diffusivity tracer is used to mark the old-water volume, and a …

Natural Gas Induced Vegetation Stress Identification And Discrimination From Hyperspectral Imaging For Pipeline Leakage Detection, Pengfei Ma, Ying Zhuo, Genda Chen, Joel G. Burken

Civil, Architectural and Environmental Engineering Faculty Research & Creative Works

Remote Sensing Detection of Natural Gas Leaks Remains Challenging When using Ground Vegetation Stress to Detect Underground Pipeline Leaks. Other Natural Stressors May Co-Present and Complicate Gas Leak Detection. This Study Explores the Feasibility of Identifying and Distinguishing Gas-Induced Stress from Other Natural Stresses by Analyzing the Hyperspectral Reflectance of Vegetation. the Effectiveness of This Discrimination is Assessed Across Three Distinct Spectral Ranges (VNIR, SWIR, and Full Spectra). Greenhouse Experiments Subjected Three Plant Species to Controlled Environmental Stressors, Including Gas Leakage, Salinity Impact, Heavy-Metal Contamination, and Drought Exposure. Spectral Curves Obtained from the Experiments Underwent Preprocessing Techniques Such as Standard …

Random Forests For Detecting Weak Signals And Extracting Physical Information: A Case Study Of Magnetic Navigation, Mohammadamin Moradi, Zheng-Meng Zhai, Aaron Nielsen, Ying-Cheng Lai, Aaron P. Nielsen

Faculty Publications

It has been recently demonstrated that two machine-learning architectures, reservoir computing and time-delayed feed-forward neural networks, can be exploited for detecting the Earth’s anomaly magnetic field immersed in overwhelming complex signals for magnetic navigation in a GPS-denied environment. The accuracy of the detected anomaly field corresponds to a positioning accuracy in the range of 10–40 m. To increase the accuracy and reduce the uncertainty of weak signal detection as well as to directly obtain the position information, we exploit the machine-learning model of random forests that combines the output of multiple decision trees to give optimal values of the physical …

People With Degenerative Cervical Myelopathy Have Impaired Reactive Balance During Walking, Timothy F. Boerger, Learon Mcginn, Megan Bellman, Marjorie C. Wang, Brian D. Schmit, Allison S. Hyngstrom

Physical Therapy Faculty Research and Publications

Background

People with degenerative cervical myelopathy are known to have impaired standing balance and walking abilities, but less is known about balance responses during walking.

Research question

The aim of this project was to assess reactive balance impairments during walking in people with degenerative cervical myelopothy (PwDCM). We hypothesized that center of mass motion following perturbations would be larger in PwDCM and gluteus medius electromyographic amplitude responses would be decreased in PwDCM.

Methods

Reactive balance responses were quantified during unanticipated lateral pulls to the waist while treadmill walking. Walking biomechanics data were collected from 10 PwDCM (F=6) and 10 non-myelopathic …

Optimization Of Factors Affecting The Performance Of A Fluidized Bed Dryer, Soner Celen, Sultan Pektas

The Philippine Agricultural Scientist

This study investigated the theoretical, analytical, and experimental effects of parameters such as bed height, air velocity, and air temperature on drying using a fluidized bed dryer. The objective was to examine how these parameters influence the drying process of salt products in a pilot fluidized bed dryer and establish the foundation for the development of a future full-scale machine. Salt products with an initial moisture content of 3% were used in all experimental trials. The pressure drop was determined by calculating the minimum fluidization rate, Archimedes and Reynolds number. The calculated values were compared with the analyses conducted using …

Design, Fabrication, And Determination Of The Optimum Working Conditions Of A Peanut (Arachis Hypogaea L.) Pneumatic Bagging System, Selcuk Ugurluay, Ali Somay

The Philippine Agricultural Scientist

The peanut bagging process is not mechanized, it requires a large amount of human labor. In addition, the shovel or canister used in bagging breaks the peanut shell that causes losses. The purpose of this study is to reduce the required workforce by mechanizing the peanut bagging process, and to determine the optimum working criteria (hose diameter and air velocity) of the prototype machine. A peanut pneumatic bagging machine powered by a tractor power takeoff (PTO) was designed and fabricated to convey peanut pods from the ground and fill the product into the bags. To determine the optimum working conditions …

Environmental Analysis Of Codfish Production And Consumption In Portugal, Ayla Frost, Joana Almeida, Joana Dionisio, Radu Godina, Cátia Magro

Journal of Critical Global Issues

Codfish, a typical dish consumed frequently in Portugal, is fished in the cold Northern Atlantic waters far from the Portuguese coast. Thus, regional tensions and the environmental impacts of Portuguese codfish importation and production are significant current issues. The present study uses a life cycle assessment methodology to evaluate the array of environmental impacts of the production of 1 kg of codfish, following a cradle to gate approach. The life cycle inventory was grouped into catch and preprocessing, transit, and curing stages. The data collection of products and processes in each stage was based on scientific peer reviewed documents, technical …

Guided Missiles: Nanoparticles Enhancing Cisplatin's Cancer-Fighting Accuracy, Leroy Rueben Alvares

International Conference on ‘NANOSCIENCE AND NANOTECHNOLOGY'

No abstract provided.

Diagnosis And Treatment Of Ovarian Cancer Using Magnetic Nanoparticles, E John, T Anil

International Conference on ‘NANOSCIENCE AND NANOTECHNOLOGY'

No abstract provided.

Nanotechnology In Dental Caries Prevention And Treatment., Neetha Shenoy

International Conference on ‘NANOSCIENCE AND NANOTECHNOLOGY'

No abstract provided.

Application Of Nanomaterials In Ovarian Tissue Engineering, Maya Lakshmanan, Manasa Nune

International Conference on ‘NANOSCIENCE AND NANOTECHNOLOGY'

No abstract provided.

Functional Analysis Of The Role Of Extracellular Vesicles In Pathogenesis Of Diabetic Foot Ulcers, Apoorva Jnana, Malatesh Sangappa Devati, Manjunath B Joshi, Thokur Sreepathy Muralli

International Conference on ‘NANOSCIENCE AND NANOTECHNOLOGY'

No abstract provided.

Rising Innovations: A Review Of Applications Of Titanium Dioxide Nanostructures For Advances In Dentistry, Ratnapriya Thakur, Jagriti Boruah

International Conference on ‘NANOSCIENCE AND NANOTECHNOLOGY'

No abstract provided.

"Innovations At The Nanoscale: A Critical Analysis Of Nanomedicine's Role In Medicine", A Abhilipsa, S Chatterjee

International Conference on ‘NANOSCIENCE AND NANOTECHNOLOGY'

No abstract provided.

Development Of Surface Modified Mesoporous Silica Nanoparticles For Co-Delivery Of Resveratrol And Tamoxifen Citrate For Localized Breast Cancer Therapy, Manasa Cm, Pooja Kotian, Usha Y Nayak

International Conference on ‘NANOSCIENCE AND NANOTECHNOLOGY'

No abstract provided.

Nanoparticles Enhanced Microfluidic Biosensing In Liquid Biopsy For Early Detection Of Oral Squamous Cell Carcinoma - Current Trends And Future Perspectives, Pavithra V, Monica Charlotte Solomon, Mary Mathew, Adarsh Kudva, T.R.Yoithap Prabhunath

International Conference on ‘NANOSCIENCE AND NANOTECHNOLOGY'

No abstract provided.

Consumers' Acceptance To Buy And Dispose Of Recycling Textile Products, Roa Alsayed

Theses and Dissertations

The textile industry is the second most polluting worldwide, following food manufacturing. It is one of the industries that is rarely scrutinized in the Middle East and North Africa (MENA) region. This work analyzes the fashion industry from the perspective of consumer attitudes towards the purchase and disposal of clothing, and their behavior with regards to old garments. The study was conducted in Saudi Arabia and Egypt, two countries that achieved similar results in the fashion industry. The methodology is divided into three phases. First, the manuscript begins with a review of topics such as sustainability, consumer behavior in the …

Prediction Of Distresses In Pavement Networks: A Machine Learning Approach, Mahmoud Kotb

Theses and Dissertations

The quality of pavement networks is greatly affected by different distresses. These distresses appear in many forms, such as cracking, potholes, rutting and different types of deformation. As a result, to ensure effective pavement management, accurate modeling of these different distresses has become essential. Moreover, machine learning models have shown great potential in modeling pavement performance in recent years. The objective of this research is to develop machine learning models for modeling key parameters of pavement distress, specifically the International Roughness Index (IRI), fatigue and longitudinal cracking. Data for this investigation were extracted from the Long-Term Pavement Performance (LTPP) database, …

Properties Of Portland Cement Concrete Incorporating Basalt-Based Pozzolanic Cement, Rana Khalil

Theses and Dissertations

Over the last decade, the world's population has increased dramatically. Due to this growth, the demand for concrete and Portland cement, in return, have increased. Manufacturing of Portland cement is an energy-intensive process that, alone, contributes to about 8% of global CO2. For decades, efforts have been exerted to reduce the harmful environmental impacts of Portland cement by reducing its use in concrete as well as considering alternate binders that may fully or partially replace it. This study aims to assess the properties of concrete incorporating a novel basalt-based pozzolanic cement. To meet this objective, four sets of concrete mixtures …

Assessing Adoption Barriers Of Sustainable Packaging In Egypt, Carol Ramses Morgan

Theses and Dissertations

Sustainable packaging has become an essential part of business decisions and corporate directions. With the rise of environmental damages due to improper waste management and unsustainable practices, businesses have a major responsibility to analyze their products’ life cycles and redesign them with sustainability in mind. Applying sustainable packaging could save companies large amounts of resources, therefore cutting costs, while also achieving the legal and social duty as a corporation towards society and the environment. Many developing countries, with specific focus on Egypt, have recently focused on legislative and corporate decisions in order to encourage more sustainable practices. Egypt’s new Waste …

Applicability Of Using Bio-Receptive Concrete For Building Facades In Egypt, Gina Roupheil

Theses and Dissertations

The significant increase in carbon dioxide emissions caused by the construction industry is detrimental to our planet. This is rapidly increasing with the urbanization of cities that is gradually taking its toll on the available green spaces, which help in balancing such emissions. Recently, researchers have been trying to make use of bio-receptivity to create biomaterial systems that could be spread on building envelopes and support the growth of small plant species and microorganisms to establish on. Out of those materials, comes the concrete as a promising material for bio-colonization.

Within this context, this study aims at investigating the applicability …

Dynamics Of Nanocluster Aerosol In The Indoor Atmosphere During Gas Cooking, Satya S. Patra, Jinglin Jiang, Xiaosu Ding, Chunxu Huang, Emily K. Reidy, Vinay Kumar, Paige Price, Connor Keech, Gerhard Steiner, Philip Stevens, Nusrat Jung, Brandon E. Boor

Purdue University Libraries Open Access Publishing Fund

Nanocluster aerosol (NCA: particles in the size range of 1–3 nm) are a critically important, yet understudied, class of atmospheric aerosol particles. NCA efficiently deposit in the human respiratory system and can translocate to vital organs. Due to their high surface area-to-mass ratios, NCA are associated with a heightened propensity for bioactivity and toxicity. Despite the human health relevance of NCA, little is known regarding the prevalence of NCA in indoor environments where people spend the majority of their time. In this study, we quantify the formation and transformation of indoor atmospheric NCA down to 1 nm via high-resolution online …

Granular Estimation Of User Cognitive Workload Using Multi-Modal Physiological Sensors, Jingkun Wang, Christopher Stevens, Winston Bennett, Denny Yu

Purdue University Libraries Open Access Publishing Fund

Mental workload (MWL) is a crucial area of study due to its significant influence on task performance and potential for significant operator error. However, measuring MWL presents challenges, as it is a multi-dimensional construct. Previous research on MWL models has focused on differentiating between two to three levels. Nonetheless, tasks can vary widely in their complexity, and little is known about how subtle variations in task difficulty influence workload indicators. To address this, we conducted an experiment inducing MWL in up to 5 levels, hypothesizing that our multi-modal metrics would be able to distinguish between each MWL stage. We measured …

Path-Bigbird: An Ai-Driven Transformer Approach To Classification Of Cancer Pathology Reports, Mayanka Chandrashekar, Isaac Lyngaas, Heidi A. Hanson, Shang Gao, Xiao Cheng Wu, John Gounley

School of Public Health Faculty Publications

PURPOSE: Surgical pathology reports are critical for cancer diagnosis and management. To accurately extract information about tumor characteristics from pathology reports in near real time, we explore the impact of using domain-specific transformer models that understand cancer pathology reports. METHODS: We built a pathology transformer model, Path-BigBird, by using 2.7 million pathology reports from six SEER cancer registries. We then compare different variations of Path-BigBird with two less computationally intensive methods: Hierarchical Self-Attention Network (HiSAN) classification model and an off-the-shelf clinical transformer model (Clinical BigBird). We use five pathology information extraction tasks for evaluation: site, subsite, laterality, histology, and behavior. …

Formulation And Aerosol Jet Printing Of Nickel Nanoparticle Ink For High-Temperature Microelectronic Applications And Patterned Graphene Growth, Nicholas Mckibben, Michael Curtis, Olivia Maryon, Mone’T Sawyer, Maryna Lazouskaya, Josh Eixenberger, Zhangxian Deng, David Estrada

Materials Science and Engineering Faculty Publications and Presentations

Aerosol jet printing (AJP) is an advanced manufacturing technique for directly writing nanoparticle inks onto target substrates. It is an emerging reliable, efficient, and environmentally friendly fabrication route for thin film electronics and advanced semiconductor packaging. This fabrication technique is highly regarded for its rapid prototyping, the flexibility of design, and fine feature resolution. Nickel is an attractive high-temperature packaging material due to its electrical conductivity, magnetism, and corrosion resistance. In this work, we synthesized nickel nanoparticles and formulated an AJP ink, which was printed on various material surfaces. Thermal sintering experiments were performed on the samples to explore the …

Research And Optimization Of Yolo-Based Method For Automatic Pavement Defect Detection, Hui Yao, Yaning Fan, Xinyue Wei, Yanhao Liu, Dandan Cao, Zhanping You

Michigan Tech Publications

According to the latest statistics at the end of 2022, the total length of highways in China has reached 5.3548 million kilometers, with a maintenance mileage of 5.3503 million kilometers, accounting for 99.9% of the total maintenance coverage. Relying on inefficient manual pavement detection methods is difficult to meet the needs of large-scale detection. To tackle this issue, experiments were conducted to explore deep learning-based intelligent identification models, leveraging pavement distress data as the fundamental basis. The dataset encompasses pavement micro-cracks, which hold particular significance for the purpose of pavement preventive maintenance. The two-stage model Faster R-CNN achieved a mean …