Digital Commons Network^™

Designing Exterior Lighting For Safety And Comfort While Minimizing Light Pollution, Energy Consumption, And Cost, Stephen Michael Simmons

Masters Theses

"Artificial light at night brings many benefits to society. However, these benefits do not come without costs. One environmental issue that is often overlooked in the design of public spaces and infrastructure is light pollution. At the expense of large amounts of energy, light pollution causes numerous harmful effects on human health, ecosystems, and the night sky. Today, the problem is becoming more widespread, especially with the increasing use of bright, white LED luminaires. Thus, it is imperative for designers and engineers to create smarter lighting designs that not only allow for safety and comfort at night but also promote …

Investigating Michigan’S Skilled Construction Laborer Shortage Within The Great Lakes Region, Jennifer E. Russell

Master's Theses and Doctoral Dissertations

The construction industry has been facing a decline in skilled trade labor for decades. This study asks three overarching questions: (a) What are the causes and influencing factors of Michigan’s skilled construction laborer shortage? (b) How are Michigan stakeholders in the Great Lakes Region remedying the shortage? (c) What new solutions can be implemented to remedy Michigan’s skilled construction laborer shortage? A literature review was conducted to identify causes, influencing factors, and research gaps. Closed surveys questioning 69 construction project managers and 101 skilled trade laborers in Michigan were conducted online and on construction sites. A quantitative analysis of the …

How Can Visual Programing Be Used To Aid The Development Of A Structural Scheme Design Process Utilising Geometric Data Within An Architectural Revit Model?, Ed Carthy, Kieran Lakhera O'Shea

Reports

The early-stage structural scheme design of a building is a complex task requiring the collection of multiple information categories such as geometry, loading and materials. The collection and review of this information is traditionally conducted in a 2D environment. This is inefficient, time-consuming, and tedious. This paper provides a review of how structural engineers’ understanding and implementation of BIM has evolved significantly in recent years, validated by extant literature in areas such as BIM automation, visual programming, and structural optimisation in the structural engineering sector. Structural engineers are growing more aware that BIM provides a vast repository of data to …

Numerical Study Of Sediment Suspension Affected By Rigid Cylinders Under Unidirectional And Combined Wave-Current Flows, Sha Lou, Xiaolan Chen, Shengyu Zhou, Gangfeng Ma, Shuguang Liu, Larisa Dorzhievna Radnaeva, Elena Nikitina, Irina Viktorovna Fedorova

Civil & Environmental Engineering Faculty Publications

Sediment transport modeling for flows with cylinders is very challenging owing to the complicated flow–cylinder–sediment interactions, especially under the combined wave-current flows. In this paper, an improved formulation for incipient sediment suspension considering the effect of cylinder density (i.e., solid volume fraction) is employed to simulate the bottom sediment flux in the flow with cylinders. The proposed model is calibrated and validated using laboratory measurements under unidirectional and combined wave-current flows in previous studies. It is proved that the effects of cylinders on sediment suspension can be accounted for through a modified critical Shields number, and the proposed model is …

Automating Intersection Marking Data Collection And Condition Assessment At Scale With An Artificial Intelligence-Powered System, Kun Xie, Huiming Sun, Xiaomeng Dong, Hong Yang, Hongkai Yu

Civil & Environmental Engineering Faculty Publications

Intersection markings play a vital role in providing road users with guidance and information. The conditions of intersection markings will be gradually degrading due to vehicular traffic, rain, and/or snowplowing. Degraded markings can confuse drivers, leading to increased risk of traffic crashes. Timely obtaining high-quality information of intersection markings lays a foundation for making informed decisions in safety management and maintenance prioritization. However, current labor-intensive and high-cost data collection practices make it very challenging to gather intersection data on a large scale. This paper develops an automated system to intelligently detect intersection markings and to assess their degradation conditions with …

Inspire Newsletter Fall 2023, Missouri University Of Science And Technology. Inspire - University Transportation Center

INSPIRE Newsletters

No abstract provided.

Coating Compositions And Methods For Using The Same, Fateme Rezaei, Thomas P. Schuman, Glenn C. Morrison

Patents

Coating compositions and methods for using the same are disclosed. The coating compositions can include an aminosilica adsorbent. The coating compositions can adsorb CO2.

Data Driven Method To Assess Safety And Energy On Freeway And Intersection Performance Using Probe Vehicle, Rezwana Kabir

Wayne State University Dissertations

Traffic congestion in cities is becoming a more pressing issue as travel demand increases, leading to safety and mobility problems and wasteful use of vehicle energy. Both freeways and signalized corridors are important in creating an efficient transportation network, and congestion on these infrastructure types presents a significant mobility concern in the United States. With advances in sensing technologies for intelligent transportation systems, probe vehicles equipped with GPS-enabled devices such as cell phones and in-vehicle telematics or navigation systems are increasingly being used to gather more information about traffic conditions. While fixed point detectors can be limited by their geographical …

Hdd Dataset: Optimising Retrofitted Insulation For Irish Residential Building Walls, Rakshit D. Muddu, Aimee Byrne, Anthony James Robinson

Datasets

In this study, a thermal-economic analysis was conducted to determine the optimum insulation thickness of retrofitted insulation walls in different regions in Ireland. This was based on the Heating Degree Day method (HDD). This dataset contains optimum insulation thickness, payback period, cost savings and carbon emission for all 25 counties in the Republic of Ireland

Predictions Of The Dynamic Complex Modulus Of Non-Conventional Asphalt Concrete Using Machine Learning Techniques, Annie Benson

College of Graduate Studies: Theses & Dissertations

The complex dynamic modulus (|E*|) is a characterization property that defines the stiffness of an asphalt mixture. The dynamic modulus can be found through lab testing or predictions. Since lab testing can be time-consuming and expensive, the prediction method can be used as an alternative method. While a statistical method has been traditionally used for the |E*| prediction such as the Witczak’s predictive equations, machine learning (ML) is recently emerging as an alternative way that |E*| predictions can be made. This research attempted to predict the |E*| using several ML techniques including linear regression, support vector machines (SVM), decision trees, …

Weigh-In-Motion Data-Driven Pavement Performance Prediction Models, Mohhammad Afsar Sujon

Graduate Theses, Dissertations, and Problem Reports (ETD)

The effective functioning of pavements as a critical component of the transportation system necessitates the implementation of ongoing maintenance programs to safeguard this significant and valuable infrastructure and guarantee its optimal performance. The maintenance, rehabilitation, and reconstruction (MRR) program of the pavement structure is dependent on a multidimensional decision-making process, which considers the existing pavement structural condition and the anticipated future performance. Pavement Performance Prediction Models (PPPMs) have become indispensable tools for the efficient implementation of the MRR program and the minimization of associated costs by providing precise predictions of distress and roughness based on inventory and monitoring data concerning …

Leveraging Data Science To Promote Sustainable Resource Recovery From Organic Waste Streams In Rural Regions, Mohammed Tamim Zaki

Graduate Theses, Dissertations, and Problem Reports (ETD)

Conventional organic waste management practices such as landfilling contribute to global warming and degrade environmental and human health. Alternatively, organic waste can be treated to recover energy, nutrients, and carbon through resource recovery technologies. Data science could benefit such technologies by improving their efficiency through data-driven process modeling along with reducing environmental and economic burdens via life cycle assessment (LCA) and techno-economic analysis (TEA), respectively.

A critical review of 616 peer-reviewed articles published during 2002–2022 was conducted on the use of data science methods in resource recovery from organic waste. Although applications of machine learning (ML) methods have drastically increased …

Promoting Enhanced Decision-Making And Proactive Management For Modularization In The Construction Industry Using Risk-Based Approach, Analytical Hierarchy Process, And Graph Theory, Mohamad Abdul Nabi

Doctoral Dissertations

"Modularization is an approach that can potentially mitigate many of the current construction industry’s challenges. Despite the documented advantages of modularization, the industry is still not able to capitalize on its full potential and benefits. The latter is due to the outdated decision-making models that may not reflect the multiple factors involved in modular construction, the unique source of risks associated with modular construction methods, need for continuous improvement, and complex contractual requirements and disputes. As such, the goal is to promote the use of modularization in the construction industry by enhancing decision-making and proactive risk management. The associated objectives …

Deep Reinforcement Learning For Approximate Policy Iteration: Convergence Analysis And A Post-Earthquake Disaster Response Case Study, Abhijit Gosavi, L. (Lesley) H. Sneed, L. A. Spearing

Engineering Management and Systems Engineering Faculty Research & Creative Works

Approximate Policy Iteration (API) is a Class of Reinforcement Learning (RL) Algorithms that Seek to Solve the Long-Run Discounted Reward Markov Decision Process (MDP), Via the Policy Iteration Paradigm, Without Learning the Transition Model in the Underlying Bellman Equation. Unfortunately, These Algorithms Suffer from a Defect Known as Chattering in Which the Solution (Policy) Delivered in Each Iteration of the Algorithm Oscillates between Improved and Worsened Policies, Leading to Sub-Optimal Behavior. Two Causes for This that Have Been Traced to the Crucial Policy Improvement Step Are: (I) the Inaccuracies in the Policy Improvement Function and (Ii) the Exploration/exploitation Tradeoff Integral …

Frequency Analysis Of A New Empirical Model To Predict Underwater Transmission Loss During Impact Pile Driving, Mariam S. Makoleo

UNF Graduate Theses and Dissertations

Over the years, anthropogenic noise generated by pile driving activities has increased, posing a significant concern for marine organisms and their ecosystems. This study aims to entail a comprehensive frequency analysis of a new empirical model to predict underwater transmission loss during impact pile driving. To achieve this objective, extensive data collection was undertaken, and spectral and frequency analyses were conducted to examine the frequency content and attenuation patterns of the sound. The results of the study reveal that sound attenuation is frequency-dependent. Notably, low frequencies, typically below 100 Hz, and very high frequencies, approximately 10 kHz, were found to …

Extracting Road Surface Marking Features From Aerial Images Using Deep Learning, Michael Kimollo

UNF Graduate Theses and Dissertations

The traffic and roadway safety agencies spend significant efforts each year collecting roadway data, including lane configurations and other road surface marking data, such as areas with school zone markings, sidewalks, left turns, right turns, bicycle lanes, etc., for safety analysis and planning purposes. The current manual data collection methods pose significant operational and quality control challenges as they are costly and prone to errors. In addition to that the manual data collection is labor intensive and takes too much time involving high equipment costs, questionable data accuracy guarantees, and concerns about the safety of the crew.

This study aims …

Predicting Florida's Extreme Wind Events: A Deep Learning Approach, Irene Josephat Byemerwa

UNF Graduate Theses and Dissertations

Extreme wind events, such as hurricanes and tropical storms, have devastating impacts on infrastructure, economy, and public safety in Florida. Traditional predictive methods, linear regression, logistic regression, and autoregressive integrated moving-average (ARIMA) models have limitations in accounting for non-stationarity and nonlinearity in meteorological data, leading to less accurate predictions. The primary objective of this study is to leverage the capabilities of deep learning algorithms, specifically, Feedforward Neural Networks (FFNNs), to develop a predictive model that outperforms traditional predictive methods in forecasting extreme wind events in Florida. The deep learning model was trained, validated, and tested using historical wind speed data …

Quantifying The Impact Of Wide Base Tires On Pavement Performance In Michigan, Lei Yin

Dissertations, Master's Theses and Master's Reports

This study aimed to investigate the use of wide base tires (WBT) in Michigan to quantify the effect of different percentages of WBT loads on flexible and rigid pavements. Surveys and field investigations were conducted to quantify the WBT usage in Michigan. The JULEA (for flexible pavements) and Illislab (for JPCP) software programs were used to calculate the mechanical response between dual tire (DT) and WBT loads, while the Mechanical-Empirical (ME) pavement design process was utilized for damage accumulation and pavement distress analysis. Investigation results rationalized the assumption of WBT proportion for design purposes as 10% currently and up to …

Predicting The Reactivities And Reaction Mechanisms Of Photochemically Produced Reactive Intermediates, Benjamin Barrios Cerda

Dissertations, Master's Theses and Master's Reports

Photochemically produced reactive intermediates (PPRIs) such as the hydroxyl radical, carbonate radical (CO₃^•-) singlet oxygen (¹O₂) and triplet state of chromophoric dissolved organic matter (³CDOM^*) are formed in sunlit natural waters upon photoexcitation of chromophoric dissolved organic matter (CDOM). PPRIs react with the organic compounds involved in key environmental processes, resulting in transformation products of smaller molecular weight than their parent compounds. Photochemical transformation of these key water constituents due to their reactions with PPRIs may pose potential effects on human and aquatic ecosystems. Consequently, there is a need …

Optimizing Technical And Economic Aspects Of Off-Grid Hybrid Renewable Systems: A Case Study Of Manoka Island, Cameroon, Reagan J. J. Molu, Serge R. D. Naoussi, Patrice Wira, Wulfran F. Mbasso, Saatong T. Kenfack, Barun K. Das, Enas Ali, Muhannad J. Alshareef, Sherif S. M. Ghoneim

Research outputs 2022 to 2026

The lack of accessible and reliable electrical energy in Cameroon has become a pervasive obstacle to the nation's progress, with energy availability, quality, and cost identified as key hindrances to development over the past 15 years. Conventional solutions that rely on combustion engines and electrochemical storage systems have proven to be cost-prohibitive, limited in power output, and constrained in capacity. The dependence on traditional diesel generators has perpetuated maintenance challenges and a continuous demand for fuel supply, while the accompanying noise and pollution have restricted their use in residential areas. Recognizing the imperative of reducing dependence on fossil fuels and …

Estimation Of Respiratory Disease Burden Attributed To Particulate Matter From Biomass Burning In Northern Thailand Using 1-Km Resolution Maiac-Aod, Anuttara Hongthong, Kampol Nanthapong, Thongchai Kanabkaew

Applied Environmental Research

The upper northern Thailand suffers from air pollution due to open burning, which has been known for a long time. It was also found that different respiratory diseases were attributed to air pollution, especially particulate matter. This study estimated the health impacts attributed to PM10 between 2014 and 2016 using the burden of disease in terms of the disability adjusted life year (DALYs). The spatial correlation was evaluated based on applicable remote sensing data using the geographically weighted regression (GWR) model. The average measured PM10 concentrations for the summer and annual periods between 2014 and 2016 were 73 and 89 …

The Combination Of Activated Sludge And A Constructed Wetland For Treating Soybean Wastewater, Tri Nguyen Minh, Nhan Nguyen Thi, Hoan Le Thi-Hai, Thanh Pham Van

Applied Environmental Research

Soybean is a nutritious and popular material in the Vietnamese food industry. Soybean processing wastewater contains a significant amount of organic compounds, which have a negative impact on aquatic life due to light penetration and oxygen consumption limitations. Therefore, this study was carried out to determine whether the combination of activated sludge and a constructed wetland using VA06 grass could be effective in treating soybean wastewater. Various amounts of activated sludge were investigated. To be specific, a 20% additional sludge percentage resulted in the shortest treatment time for chemical oxygen demand (COD), total nitrogen (TN), and phosphorus (TP). Additionally, the …

Groundwater Potential Mapping At Highly Populated Sub-Districts Of Thimphu District Using Fuzzy Analytic Hierarchy Process, Thongley Thongley, Tshering Choki, Kuenzang Choden

Applied Environmental Research

Groundwater is important when there is an insufficient spring water supply for daily needs. The population growth and expansion of the cities demand more water. Thimphu is the capital city of Bhutan and facing water shortage in recent times due to urban expansion and population growth. This study aims to find the potential area for groundwater using the Fuzzy Analytic Hierarchy Process. The factors used for this study are elevation, slope, curvature, topographic wetness index, drainage density, normalized difference vegetation index, distance from fault density, rainfall distribution map, soil texture map, and drainage density. The rating for the factors and …

Riverine Microplastics Pollution In Vietnam: A Review Of Current Scientific Knowledge And Legal Policies, Sang Truong Tran Nguyen, Emilie Strady, Thuy Chung Kieu Le, Thi Minh Tam Le, Phuoc Dan Nguyen, Ngoc Bao Pham, Yukako Inamura

Applied Environmental Research

Plastic litter and microplastic pollution in the aquatic environment have become a major concern since scientists, politicians, and citizens began to learn about the impacts in recent years. This in-depth desk review of scientific papers and Vietnamese policies aims to state the current knowledge, legal framework, and action plan relative to microplastic assessment, release, and control in Vietnamese aquatic environments, especially rivers. Regarding scientific literature, this paper focuses on (i) the occurrence of microplastics in riverine surface water and sediments, (ii) the fate and transfer of microplastics in Vietnam’s canals-riverine- estuarine systems, (iii) their accumulation in biota, and (iv) effects …

Banana Stem (Musa Balbisiana Colla) As Potential Biosorbent To Remove Methylene Blue Dye In Wastewater: Isotherm, Kinetic, Thermodynamic Studies And Its Application, Rahmiana Zein, Clalitya Akmal, Safni Safni, Syiffa Fauzia, Putri Ramadhani

Applied Environmental Research

Textile industries discharge various waste including dye waste to the environment. Dye waste such as methylene blue taints both aquatic and land ecosystem. Thus, the recent study employs banana stem (Musa balbisiana Colla), as an economical and environmentally friendly biosorbent for methylene blue removal. The chemically activated banana stem indicates the significant methylene blue uptake at pH 5, initial concentration of 800 mg L-1, contact time of 60 min, temperature at 25 °C with adsorption capacity of 71.5470 mg g-1. The adsorption process follows the Langmuir isotherm model (R2 = 0.9965) and pseudo order model which involve monolayer …

Evaluation Of E-Waste Generation Through G-Pestle Analysis In The City Of Zamboanga, Philippines: Basis For Management Strategies, Mary Ann Beth L. Kong, Edwin R. De Los Reyes, Francis Dave C. Siacor

Applied Environmental Research

Due to a growth in the production of electronic waste (e-waste), the Philippines, particularly Zamboanga City, a top-tier, highly urbanized city on the Zamboanga Peninsula, is coping with an e-waste problem. Understanding the outside forces influencing e-waste management is necessary for creating effective strategies. With the help of a G-PESTLE analysis (geographical, political, economic, social, technical, legal, and environmental) and recommendations for improvement, this study assessed the city's existing e-waste management situation. The study looks at possibilities and problems, then offers management tactics based on the results. The study employed a hybrid methodology. Using the G-PESTLE analysis framework, the external …

Assessing The Compliance Of A Coastal Municipality To The Ecological Solid Waste Management Act Of 2000 (Ra 9003), Michelle Del Rosario

Applied Environmental Research

To bring about a significant change in the SWM situation in the Philippines, the Ecological Solid Waste Management Act of 2000 (RA 9003) was enacted to provide local government units with frameworks that would help them solve the looming garbage problem in the country. Despite the presence of the decree, managing wastes remains a problem in the country particularly in the CALABARZON. This study was conducted to assess the extent of compliance of a coastal municipality to RA 9003 in terms of institutional mechanism, comprehensive solid waste management, incentives, and financial solid waste management and compare the assessments of 72 …

Phosphorus Speciation And Heavy Metal Levels In Ogun River Sediments At Different Anthropogenic Locations In Abeokuta, Ogun State, Olayinka Oluwafunmilayo Olasunbo, Opatoyinbo Oluwabamise Esther, Olujimi Olarenwaju Olusoji, Azeez Jamiu Oladipupo, Oyebanji Adedayo Olamide

Applied Environmental Research

Phosphorus (P) is an essential nutrient for phytoplankton growth in water bodies and an important element in biochemical processes. Also, excessive P in river causes eutrophication which endangers aquatic organisms while sediment acts as sink for inorganic and organic pollutants and nutrients. To assess the availability of P and heavy metals (HMs) in Ogun River, surface sediment samples were collected at twelve anthropogenic sites for three months. The surface sediment samples were sequentially extracted to determine five phosphorus fractions [loosely-sorbed P (LS-P), iron-bound P (Fe-P), authigenic apatite, biogenic apatite and CaCO3-bound P (CFA-P), detrital apatite (Det-P) and other inorganic P …

The Effect Of Incubation Time And Drainage Ph On The Immobilization Of Copper In Post Coal Mine Soil Using Sumatera Brown Coal Char, Muhammad Haviz, Damris Muhammad, Maria Vabylita, Miftahul Djana, Rizka Mayasari, Ashruri -, Sandri Erfani, Yuli Darni, Opik Taufik Purwadi, Simparmin Ginting

Applied Environmental Research

Post coal mine (PCM) activities pose significant environmental challenges. Soils affected by PCM often exhibit increased acidity and elevated levels of heavy metals. In the case of Sungai Buluh PCM in the Jambi Province, Indonesia, copper (Cu) levels in the soil reach 94.79 mg kg-1, surpassing the Indonesian standard of 40 mg kg-1. Sumatera brown coal (SBC), typically is not considered as fuel due to its properties, offers a cost-effective solution for Cu immobilization in such soils. In this study, SBC was subjected to pyrolysis at 400°C for 1 h, sieved through a 10-mesh sieve, and characterized using SEM and …

Dual-Polarimetric Radar Applications For Investigating Severe Thunderstorms In Northern Thailand During The Pre-Monsoon Season, Nattapon Mahavik, Sarintip Tantanee, Fatah Masthawee

Applied Environmental Research

Understanding the physical characteristics of severe pre-monsoon thunderstorms is crucial for mitigating the adverse impacts of natural disasters on people in tropical regions. On April 23, 2020, a severe storm affected the Chiang Khong District of the Chiang Rai Province in Northern Thailand, causing devastation to more than 500 houses with hail and strong winds. This study investigated the storm's physical characteristics using dual-polarimetric radar data from the Thai Meteo-rological Department (TMD). Using a combination of polarimetric radar variables, such as reflectivity (ZH), specific differential phase (KDP), differential reflectivity (ZDR), and copolar correlation coefficient (ρhv), fuzzy logic was utilized to …