Digital Commons Network^™

Mitigating Urban Heat Island And Enhancing Indoor Thermal Comfort Using Terrace Garden, Girish Visvanathan, Kailas Patil, Yogesh Suryawanshi, Vishal Meshram, Shrikant Jadhav

Faculty Research, Scholarly, and Creative Activity

The United Nations advocates for sustainable urban planning and design, emphasizing green infrastructure initiatives to mitigate urban heat island effects and enhance the resilience and livability of cities globally. To address urban heat challenges, a study was conducted in Chennai, India, from April to June 2023. The study focused on assessing temperature dynamics on a building's terrace by comparing a well-maintained garden area with an exposed region. Temperature and humidity sensors were deployed in both the garden and exposed areas of the terrace, as well as within rooms beneath it, to monitor hourly temperature fluctuations. The findings indicate a significant …

Critical Minerals Mining And Native American Sovereignty: Comparing Case Studies Of Lithium, Copper, Antimony, Nickel And Graphite Mining In The United States, Macdonald Amoah, Benjamin K. Sovacool, Dustin Mulvaney, Morgan D. Bazilian, Richard Luarkie, Daniel Cardenas

Faculty Research, Scholarly, and Creative Activity

Owing to the historical patterns of colonialism and settlement, many of the remaining undeveloped mineral resources needed for a low-carbon energy transition are located on lands that have historic, ancestral, or cultural significance to Native American Tribes and Indigenous communities, as well as are near environmental-sensitive areas. While some mining projects occur on private land, the majority of mining projects are proposed for lands owned by the United States Federal Government and managed by multiple agencies (United States Forest Service, Bureau of Land Management etc.) with goals across the spectra from natural resource development to cultural resource conservation. Through a …

An Animation Production Extension Of Spirit Spider, Jayden Abbott

Postgraduate

The Spirit Spider project comprises two components, a creative work called Spirit Spider and this accompanying exegesis. This project exemplifies a deep exploration of the animation process, emphasizing the iterative nature of creative development over the interpretation of the final product. Through each phase, from initial storyboarding to overcoming technical challenges and refining skills in Blender, the project has adhered to a methodology that prioritizes creative problem-solving and adaptability.

This exegesis has examined the careful selection of tools, such as Blender, and the integration of newly learned techniques that continuously shaped the project’s direction. By dedicating focused time to both …

In The Mix: Hip Hop's Impact On Genre Development And Cultural Influence In African And Jamaican Music, Kinzi Kabadeh

Postgraduate

In this exegesis, I contend that certain compositional elements and production methods of dancehall, amapiano, and afrobeats demonstrate hip hop’s influence on contemporary Jamaican and African electronic music. In particular, the drum programming, track mixing, and use of sampling demonstrate a cross-pollination and cultural transfer between the two forms of music (on one hand, the African and Jamaican genres of dancehall, amapiano, and afrobeats, and on the other, the African American music of hip hop). These genres are fundamental to contemporary Black culture and share origins as vehicles for resistance to oppressive forces.

Digital Synthesis And Music Making : A Comprovisational Approach To Music Making Through Digital Synthesis And Sound Manipulation, Joshua Cusack

Postgraduate

This exegesis documents my practice and process through the development and production of three albums of electronic music. Employing a methodology where the exploration of sound design drives the music making process. I used experimental music making approaches and “practice-led research” methodologies to make these creative works (Smith & Dean, 2009, p. 5). Through the exploration of the sound design process, I developed a methodology that enables the creation of musical material to serve as the foundation for the pieces I produced. Exploring iterative processes in music making, I employed a “Comprovisational” approach (Dale, 2008, p.5). Listening while recording, I …

Influence Of Head Sway On The Availability Of Visual Information In An Affordance Task, Ron Dickson Jr.

Honors Theses

This thesis investigated how varying postural conditions and environmental challenges influence human affordance perception in virtual environments, focusing specifically on participants’ judgments about whether they could stand upright on sloped surfaces. Using virtual reality (VR) to simulate ramps at various inclines, participants assessed their ability to stand on these slopes under different postural constraints (unaided standing, leaning, and touch-supported). Data was collected on head movement dynamics, including movement magnitude, variability, and complexity, using measures such as Euclidean distance and effort-to-compress (ETC). Logistic and linear regression analyses revealed that slope angle and stance significantly impacted participants' affordance judgments and movement patterns, …

Exploring The Potential Of Arecanut Fibers And Fly Ash In Enhancing The Performance Of Self-Compacting Concrete, Sreedhara B. Marulasiddappa, Asif Khan H, Gireesh Mailar, Muttana S. Balreddy

Open Access archive

Self-compacting concrete (SCC) is an innovative material for construction that offers excellent workability and flowability while achieving effective and uniform compaction without the need for external vibration. Using an experimental approach, this study investigates the effect of incorporating arecanut fibers on the performance of self-compacting concrete (SCC). The focus is on optimizing the fiber content for improved concrete characteristics. The study examines three different fiber lengths (8 mm, 10 mm, and 12 mm) and three volume fractions (1%, 2%, and 3%) while partially replacing 30% of the cement by weight with fly ash. Tests on the workability of the SCC …

Investigating The Potential Advancements For Electric Vehicle Charging Technologies Through Various Converters Topology, N. S. Jayalakshmi, Madhurika Sathe, Anubhav Kumar Pandey, Vinay Kumar Jadoun

Open Access archive

In the era of various automobiles, petrol and diesel vehicles proved to be the best-suited means of transportation. However, the adverse impacts of these fuels on the atmosphere have propelled the world to approach and promote electrified transportation. It is essential to comprehensively discuss various integral aspects of Electric Vehicles (EVs) especially the battery technology, battery charging schemes, standards and management. This paper discusses the importance of various new technologies proposed for the fast charging of EVs in which a detailed analysis of one such attractive and promising technology i.e., Solid-State Transformers (SST) built EV charging station. The work also …

Arima-Genetic Algorithm Approach For Forecasting Milk Production In India, Pramit Pandit, Bishvajit Bakshi, Moumita Paul, B. S. Pooja

Open Access archive

Background: Dairying in India has witnessed a radical transformation from a largely unorganised activity into a thriving organised industry. However, there are only a limited number of earlier attempts that specifically evaluated the milk production pattern of India. Moreover, most of these earlier studies are quite dated and have employed autoregressive integrated moving average (ARIMA) models, which suffer from the problem of local optima. To overcome this lacuna, we have utilised a genetic algorithm (GA) in the ARIMA framework. Its suitability to forecast the annual milk production in India has also been assessed comparatively with respect to the traditional ARIMA …

Enhancing Multiclass Brain Tumor Diagnosis Using Svm And Innovative Feature Extraction Techniques, Mustafa Basthikodi, M. Chaithrashree, B. M. Ahamed Shafeeq, Ananth Prabhu Gurpur

Open Access archive

In the field of medical imaging, accurately classifying brain tumors remains a significant challenge because of the visual similarities among different tumor types. This research addresses the challenge of multiclass categorization by employing Support Vector Machine (SVM) as the core classification algorithm and analyzing its performance in conjunction with feature extraction techniques such as Histogram of Oriented Gradients (HOG) and Local Binary Pattern (LBP), as well as the dimensionality reduction technique, Principal Component Analysis (PCA). The study utilizes a dataset sourced from Kaggle, comprising MRI images classified into four classes, with images captured from various anatomical planes. Initially, the SVM …

Solar Pv Focused Lfc Studies Utilizing An Sfs-Optimized Pid With Fractional Derivative (Piddμ), And Incorporating Bess And Fess Applications, S. B. Masikana, Gulshan Sharma, Sachin Sharma, Pitshou N. Bokoro

Open Access archive

This study investigates the application of a PID controller with a fractional derivative component (PIDD^μ), optimized using the stochastic fractional search (SFS) technique, for load frequency control (LFC) in power systems. Additionally, solar PV and battery energy storage systems (BESS) and flywheel energy storage systems (FESS) are integrated as backup sources to enhance the LFC performance. To assess the effectiveness of the proposed approach, three error metrics—Integral Time Absolute Error (ITAE), Integral Time Multiplied Square Error (ITSE), and Integral of Absolute Error (IAE)—are evaluated. The results are compared with recent optimization-based LFC techniques across various scenarios. It is …

State-Of-The-Art Titanium Carbide Hard Coatings: A Comprehensive Review Of Mechanical And Tribological Behaviour, Samrat Kavishwar, Vinod Bhaiswar, Sonika Kochhar, Ashish Fande

Open Access archive

This present paper focuses on various conventional and advanced surface modification techniques to enhance surface characteristics, tribological behaviour, and mechanical properties of metals and alloys exposed to abrasive or corrosive environments. A particular importance is given on the utilization of hard protective coatings, notably Titanium Carbide (TiC), known for its exceptional attributes including high chemical and thermal stability, elevated hardness, substantial elastic modulus and a low coefficient of friction. TiC coatings significantly contribute to the improved hardness, wear and corrosion resistance of metals and alloys. Deposition of TiC coatings using various technologies including chemical vapor deposition (CVD), physical vapour deposition …

Modeling And Analysis Of The Effects Of Age Hardening, Magnesium Dissolution, And Sic Reinforcement On Wear Properties In Eutectic Al-Si Composites Using Full Factorial Techniques, Ashwin Shetty, Thirumaleshwara Bhat, Sathyashankara Sharma, Ravikantha Prabhu

Open Access archive

This study aims to explore the effects of age-hardened traces, magnesium (Mg) dissolution, and silicon carbide (SiC) reinforcement on the wear properties of eutectic aluminum-silicon (Al-Si) matrix composites, focusing on optimizing their performance for industrial applications. A systematic investigation was conducted using a full factorial experimental design, with analysis of variance (ANOVA) performed through Minitab software to quantify the individual and interactive effects of these factors on the wear rate and coefficient of friction (COF). The results demonstrated that age-hardened traces significantly enhance wear resistance by promoting the formation of finely dispersed hardening precipitates at moderate ageing temperatures, while over-ageing …

Cultivating And Sustaining Community Engagement At The Kachemak Bay National Estuarine Research Reserve, Rose Masui

Student Projects for Graduate Degrees

The Kachemak Bay National Estuarine Research Reserve (KBNERR) was established in Homer, Alaska in 1999 with an overarching purpose of conducting community relevant place-based research, education, training, and outreach within our region. The need to have the Reserve reflective of community needs was also captured within KBNERR’s 2021-2026 Management Plan. As of 2024, the process for engaging the community both to share information and to inform focus areas at the Reserve is not being implemented in a unified approach. Since 2021, three-quarters of the positions at KBNERR have experienced staffing turnovers. A need to re-establish the role the community plays …

Positive Behavior Intervention And Supports (Pbis) Data Systems, Drenushe Hukali

Student Projects for Graduate Degrees

The Anchorage Schools District (ASD), a large and diverse educational system, currently operates without standardized systems, tools and training for effectively capturing and analyzing student data. This limitation, coupled with reliance on outdated disciplinary practices, has resulted in a predominantly reactive organizational approach. Through the successful implementation of Positive Behavior Interventions and Supports (PBIS) framework to PreK- 12+ students at all Anchorage School District (ASD) school sites, this project aims to evaluate the effectiveness of an optimized documentation process within the district. This evidence-based, tiered framework supports students’ behavioral, academic, social, emotional, and mental health, which has been proven to …

The Evolution And Preservation Of Video Games: An Artistic And Cultural Journey, Dhru Fuletra

ART 108: Introduction to Games Studies

From the first time I held a game controller, video games have been a fundamental part of my life. They started as simple, pixel-filled adventures on early consoles and have grown into the vast, immersive worlds we explore on today’s advanced systems. For me, they’ve always been more than just a way to pass the time; they’ve been gateways to alternate realities where creativity, interaction, and storytelling seamlessly come together. Over the years, video games have transformed from casual hobbies into intricate cultural phenomena and, importantly, into a recognized art form. In this essay, I contend that video games are …

The Evolution Of Artificial Intelligence In Gaming, Aditi Jorapur

ART 108: Introduction to Games Studies

No abstract provided.

Cgbi_Yolo: Lightweight Land Target Detection Network, Ruiyang Wang, Siyu Lu, Jiawei Tian, Lirong Yin, Lei Wang, Xiaobing Chen, Wenfeng Zheng

Faculty Publications

Object detection algorithms for optical remote sensing images often face challenges in computational efficiency, particularly when detecting small and densely packed targets. This paper introduces CGBi_YOLO, a novel lightweight land target detection network designed to optimize computational resource utilization while maintaining detection capabilities for small-scale targets. Our approach incorporates an innovative lightweight optimization strategy featuring a new lightweight backbone feature extraction network: CSPGhostNet. This model significantly enhances the detection ability of small objects within optical remote sensing images without increasing computational demands. The efficacy of the proposed model is validated through rigorous experimentation on the DOTA dataset. Compared to the …

Research Overview On Urban Heat Islands Driven By Computational Intelligence, Chao Liu, Siyu Lu, Jiawei Tian, Lirong Yin, Lei Wang, Wenfeng Zheng

Faculty Publications

In recent years, the intensification of the urban heat island (UHI) effect has become a significant concern as urbanization accelerates. This survey comprehensively explores the current status of surface UHI research, emphasizing the role of land use and land cover changes (LULC) in urban environments. We conducted a systematic review of 8260 journal articles from the Web of Science database, employing bibliometric analysis and keyword co-occurrence analysis using CiteSpace to identify research hotspots and trends. Our investigation reveals that vegetation cover and land use types are the two most critical factors influencing UHI intensity. We analyze various computational intelligence techniques, …

Current Situation And Prospect Of Geospatial Ai In Air Pollution Prediction, Chunlai Wu, Siyu Lu, Jiawei Tian, Lirong Yin, Lei Wang, Wenfeng Zheng

Faculty Publications

Faced with increasingly serious environmental problems, scientists have conducted extensive research, among which the importance of air quality prediction is becoming increasingly prominent. This article briefly reviews the utilization of geographic artificial intelligence (AI) in air pollution. Firstly, this paper conducts a literature metrology analysis on the research of geographical AI used in air pollution. That is, 607 documents are retrieved from the Web of Science (WOS) using appropriate keywords, and literature metrology analysis is conducted using Citespace to summarize research hotspots and frontier countries in this field. Among them, China plays a constructive role in the fields of geographic …

Root Plasticity Of Selected Corn (Zea Mays L.) Varieties Grown For Food And Forage In Response To Fertigroe®-N And Urea, Vanica Apostol, Edna Aguilar, Lilia Fernando, Lourdes Edano Ma., Tonette Laude, Eureka Teresa Ocampo

The Philippine Agricultural Scientist

Root plasticity, the capacity of a corn root system to modify its growth and development in response to varying environmental conditions, is a crucial adaptability trait for optimizing water and nutrient uptake, especially in a challenging environments. Understanding root plasticity provides insights into the pattern basis of crop adaptation, contributing to the development of improved corn varieties and agricultural practices that optimize the production of both ear shoots and forage. This study assessed root traits and other morphological-physiological responses of three corn varieties (NK8840, IPB Var 6, and Pearl Sweet) grown for food (ear shoots) and forage (baby corn fodder) …

Surgical Suturing Skill Assessment Using Estimated Hand Roll Angle From A Deep-Learning Computer Vision Algorithm, Jianxin Gao, Amir Mehdi Shayan, Simar P. Singh, Joe Bible, Ravikiran Singapogu, Richard E. Groff

Publications

This paper proposes a deep-learning computer vision algorithm to estimate hand roll angles for metric-based assessment of surgical suturing skills. The number of rolls metric, previously calculated directly from IMU data, counts the number of hand roll reversals during a single suture. To calculate this metric using computer vision, we apply a deep-learning algorithm that can reliably estimate hand roll angles after training on suturing videos collected on the SutureCoach simulator. Results show that the estimation accuracy of the deep-learning algorithm is robust to different video backgrounds. The number of rolls metrics were used to analyze suturing performance in the …

Ellipticity-Controlled Exceptional Points From Nanoscale Metasurfaces, Benjamin Goldberg

McKelvey School of Engineering Graduate Student Theses & Dissertations

Precise control over light polarization is critical for advancing technologies in telecommunica- tions, quantum computing, and image sensing. However, existing methods for manipulating polarization around exceptional points in non-Hermitian systems, have exclusively focused on circular polarization and work with reflected light. To address this limitation, we de- velop a novel metasurface platform with high-Q resonators that enables tunable control of polarization exceptional points across arbitrary ellipticity for transmitted light. Our design uses orthogonally polarized guided mode resonators in a two-layer silicon metasurface, where careful tuning of the dipolar guided mode resonances (DGMRs) and layer spacing allows us to control the …

Gotcha ! This Model Uses My Code ! Evaluating Membership Leakage Risks In Code Models, Zhou Yang, Zhipeng Zhao, Chenyu Wang, Jieke Shi, Dongsum Kim, Donggyun Han, David Lo

Research Collection School Of Computing and Information Systems

Leveraging large-scale datasets from open-source projects and advances in large language models, recent progress has led to sophisticated code models for key software engineering tasks, such as program repair and code completion. These models are trained on data from various sources, including public open-source projects like GitHub and private, confidential code from companies, raising significant privacy concerns. This paper investigates a crucial but unexplored question: What is the risk of membership information leakage in code models? Membership leakage refers to the vulnerability where an attacker can infer whether a specific data point was part of the training dataset. We present …

Book Review Of Richard Joslyn And Bruce Stronach. The History Of Temple University Japan: An Experiment In International Education. Philadelphia: Temple University Press,

Journal of Comparative & International Higher Education

No abstract provided.

Chain Of Preference Optimization: Improving Chain-Of-Thought Reasoning In Llms, Xuan Zhang, Chao Du, Tianyu Pang, Qian Liu, Wei Gao, Min Lin

Research Collection School Of Computing and Information Systems

The recent development of chain-of-thought (CoT) decoding has enabled large language models (LLMs) to generate explicit logical reasoning paths for complex problem-solving. However, research indicates that these paths are not always deliberate and optimal. The tree-of-thought (ToT) method employs tree-searching to extensively explore the reasoning space and find better reasoning paths that CoT decoding might overlook. This deliberation, however, comes at the cost of significantly increased inference complexity. In this work, we demonstrate that fine-tuning LLMs leveraging the search tree constructed by ToT allows CoT to achieve similar or better performance, thereby avoiding the substantial inference burden. This is achieved …

Impact Of Irrigation Systems On Water Use And Water Productivity: A Case Study Using Aquacrop In Khartoum, Sudan, Abdalhakam Almagzoop

Department of Agricultural and Biological Systems Engineering: Masters Project Reports

Water scarcity significantly challenges agricultural productivity in arid regions like Khartoum, Sudan. This study evaluates the impact of three irrigation systems—furrow, sprinkler, and surface drip—on the water use and productivity of sorghum (Sorghum bicolor L.) under different climatic conditions using the AquaCrop model. Simulations were conducted for three representative years: a wet year (2022), a normal year (2015), and a dry year (2018). The results demonstrate that irrigation substantially improved water use efficiency and crop yield compared to non-irrigated (rainfed) conditions. Rainfed crops resulted in lower biomass, harvest index, and yield, particularly in the dry year, highlighting the importance …

Enhancing Water Sustainability In North Africa: Literature Review And Synthesis Of Current Knowledge Gaps In Sudan, Osman M. A. Adam

Department of Agricultural and Biological Systems Engineering: Masters Project Reports

This study delves into the critical role of groundwater in addressing global water challenges, with a focus on the Nubian Sandstone Aquifer System (NSAS) in north Africa. Groundwater constitutes a source of potable water, irrigation, and industrial use, especially in arid regions where surface water is limited. We analyzed the status of water quantity, withdrawals, recharge, and geological characteristics in the NSAS, specifically in Sudan, Egypt, and Libya. Though the NSAS is largely an untapped resource, water withdrawals from the NSAS in Egypt, Sudan, and Libya are projected to increase substantially from 2000 to 2100 due to population growth, with …

Development And Characterization Of Organic Electrocatalysts For Use In Zinc-Air Batteries, Christopher John Merkel

Department of Chemical and Biomolecular Engineering: Dissertations, Theses, and Student Research

The global deployment of solar photovoltaic and wind power is projected by the International Energy Agency as the primary pathway to reduce dependence on fossil fuels. However, these technologies face a critical bottleneck: their inherently intermittent power generation. For “intermittent renewables” to become the dominant source of electrical energy, efficient energy storage systems are essential. Current storage solutions are not viable on a global scale due to material scarcity, safety concerns, and high capital costs. Among emerging technologies, zinc-air batteries (ZABs) have garnered significant interest. ZABs offer a theoretical energy density five times greater than traditional lithium-ion batteries, utilize safe …

Impacts Of Stream Bed Adjustment On Local Bridge Morphology At Highway 281, Molly G. Likins

Department of Civil and Environmental Engineering: Dissertations, Theses, and Student Research

Nebraska sand-bed rivers have long been a part of sediment transport studies and have been used in the development of numerous well-known empirical bedload equations. Some of these studies have shown how adjustments in streambed elevation led to changes in local stream morphology. The sand-bed rivers of Nebraska are highly susceptible to such changes due to their wide, shallow cross-sections and erodibility. The objective of our study is to synthesize a hydrodynamic model with high-resolution field data and improved methods of representing sediment transport to better predict both short and long-term channel adjustments for an aggraded sand-bed river.

The field …