University of Illinois Urbana-Champaign
Illinois Digital Environment for Access to Learning and Scholarship RepositoryNot a member yet
123813 research outputs found
Sort by
Temperature-centric investigation of speculative decoding with knowledge distillation
No full textSpeculative decoding stands as a pivotal technique to expedite inference in autoregressive (large) language models. This method employs a smaller \textit{draft} model to speculate a block of tokens, which the \textit{target} model then evaluates for acceptance. Despite a wealth of studies aimed at increasing the efficiency of speculative decoding, the influence of generation configurations on the decoding process remains poorly understood, especially concerning decoding temperatures.
This paper delves into the effects of decoding temperatures on speculative decoding’s efficacy. Beginning with knowledge distillation (KD), we first highlight the challenge of decoding at higher temperatures, and demonstrate KD in a consistent temperature setting could be a remedy. We also investigate the effects of out-of-domain testing sets with out-of-range temperatures. Building upon these findings, we take an initial step to further the speedup for speculative decoding, particularly in a high-temperature generation setting. Our work offers new insights into how generation configurations drastically affect the performance of speculative decoding, and underscores the need for developing methods that focus on diverse decoding configurations. Code is publicly available at \texttt{\url{https://github.com/ozyyshr/TempSpec}}.Submission published under a 24 month embargo labeled 'U of I Access', the embargo will last until 2027-12-01The student, Siru Ouyang, accepted the attached license on 2025-04-10 at 11:48.The student, Siru Ouyang, submitted this Thesis for approval on 2025-04-10 at 11:53.This Thesis was approved for publication on 2025-04-10 at 13:13.DSpace SAF Submission Ingestion Package generated from Vireo submission #21738 on 2026-02-19 at 18:45:0
Hope for the best, expect the worse: a framework for understanding belonging fulfillment among Black graduate students
No full textAcross disciplines, Black graduate students continue to show some of the highest levels of attrition (Lively, 2022). Although there can be numerous reasons why they may leave, lack of belonging is a common theme among them (Burt et al., 2018). Because a sense of belonging is related to student academic achievement and retention (Strayhorn, 2019), a way to improve Black graduate student retention is to gain insight into their sense of belonging. Unfortunately, there is a lack of literature that explores how students develop their sense of belonging. A study by Wirth and colleagues (2017) found that those who expect to belong and then don’t, experience greater negative feelings those who do not expect to belong and then don’t. Thus, it can be inferred that expectations may play a critical role in belonging development. This phenomenon is known as belonging fulfillment (Rayford et al., 2023). However, belonging fulfillment has not been fully theorized. This study aimed to understand how a sense of belonging develops by creating a framework of belonging fulfillment through the lens of Black graduate students. To this end, I pose: How do Black graduate students develop and experience the process of belonging fulfillment in their program, or lack thereof? Using Constructivist Grounded Theory Methodology, 16 Black doctoral students in the United States were interviewed. The results highlight a framework that has four processes —adjustment, bootstrapping, connection, support— and six factors— advisor & program faculty, geographic location, funding, program peers, program opportunities, and racial experiences. This study contributes to the literature in understanding a sense of belonging by advancing the constellation of belonging theories by providing a framework that further explains the nuances of this phenomenon, and that can be situated within this new context — graduate studies.Submission published under a 24 month embargo labeled 'U of I Access', the embargo will last until 2027-12-01The student, Taiylor Rayford, accepted the attached license on 2025-08-22 at 12:26.The student, Taiylor Rayford, submitted this Dissertation for approval on 2025-08-22 at 12:30.This Dissertation was approved for publication on 2025-08-25 at 11:58.DSpace SAF Submission Ingestion Package generated from Vireo submission #22777 on 2026-02-19 at 18:45:2
Opto-fluidic neural probes for optogenetic brain interrogation
No full textThe modulation and measurement of neuro-chemical and electrical signals with high sensitivity, spatial precision on the order of neurons, and temporal precision in milli seconds is the holy grail of neuroscience. To achieve this goal, novel tools to capture neurochemical dynamics with high spatiotemporal precision, and vast multiplexing ability are needed. On the other side, tools for neuromodulation at high speeds and high spatial precision are needed to interrogate brain networks at any arbitrary stimulation volume. Optogenetics is an ideal tool for this purpose providing fast dynamics coupled with spatial precision typically brought in by genetic specificity. Several optogenetic tools have been developed in recent years to achieve spatial resolution by beam shaping methods. However, these methods fundamentally lack the ability to focus light along the propagation axis of the beam, limiting the localization of excitation to only two dimensions. Further, the strength of excitation is highest closest to the implant, preventing selective excitation of distant neuronal volumes.
In this dissertation, a novel metamaterial based beam shaper that can be integrated into thin neural probe shanks is presented along with its integrated photonics backbone. These beam shapers are experimentally demonstrated to focus light to a variable volume from 2 cubic micron to as small as 0.06 cubic micron, corresponding to NAs as high as 0.95. The focusing ability of these beam shapers in scattering media is demonstrated with the ability to localize light to a single neuron’s excitation volume along the axis of propagation. The preserving of focal volume despite tissue scattering due to the high numerical aperture of these lenses is also shown.
Parallelly, the supporting building blocks of high yield fluidic packaging, a film stress tuning mechanism for straight microneedle fabrication, and an integration and co-packaging scheme with photonics are established to support the development of a state-of-the-art fluidics neural probe platform.Submission published under a 24 month embargo labeled 'U of I Access', the embargo will last until 2027-12-01The student, Hrishikesh Iyer, accepted the attached license on 2025-09-09 at 16:21.The student, Hrishikesh Iyer, submitted this Dissertation for approval on 2025-09-09 at 17:32.This Dissertation was approved for publication on 2025-09-10 at 13:21.DSpace SAF Submission Ingestion Package generated from Vireo submission #22795 on 2026-02-19 at 18:45:2
The effect of scaffold structure and biologic factors on bone regeneration in cap-based scaffolds measured using machine learning
No full textBone regeneration conduits are necessary in critically large defects. Hydroxyapatite (HAp) scaffolds are osteoconductive, synthetic grafts that provide an alternative to natural grafts, which have limitations. We and others have fabricated HAp scaffolds with a hierarchical structure that has macropores between orthogonal rods - into which bone can grow, and micropores within those rods. Our previous research has shown that these micropores create a capillary effect and, with the macropores, pull in fluid from the defect at implantation, encouraging bone regeneration. There is a limited understanding in the effect of different components of the defect fluid (cells and serum) and extracellular vesicles (EVs) on bone regeneration. In addition, the effect of relaxing HAp scaffold rod orthogonality has not been experimentally studied. This work aims to understand the effect of these structural and biological factors on bone regeneration in HAp scaffolds.
We investigate the effect of scaffold structure (control rectilinear, optimized rectilinear, and optimized curvilinear), biologic treatments (control-dry, cells, serum, EVs), implantation site (anterior, middle, and posterior), and dry vs. wet implantation conditions (to further explore the capillary effect) on bone regeneration. Bone regeneration is measured using segmented micro-computed tomography (Micro-CT) images of implanted scaffolds, a challenging segmentation problem because of the similar mineral composition, and thus attenuation, between scaffold and ingrown bone.
Convolutional U-Net models are increasingly used for segmentation of biomedical images as they do not require large training sets. Model segmentation performance is typically reported using aggregate metrics such as dice similarity coefficient (DSC), precision, and recall. These metrics, while useful, are reported as mean ± standard deviation without consideration of the context. As a result, these common metrics may not reflect the key results that are relevant to the application. Here, the key result is in accurately quantifying bone regeneration and in characterizing spatial variations in bone regeneration in HAp scaffolds.
We implement a U-Net model trained with three loss functions—Cross-Entropy loss (widely used), Soft Dice loss (to address class imbalance) and Accuracy-based loss. We consider the parameter ΔBGF, the difference in bone growth fraction (BGF) between predicted output and ground truth images, and its correlations of the more standard metrics with |ΔBGF| for the models using the three loss functions. Accuracy is the most representative metric of performance relative to our outcome of interest, measuring ingrown bone. We show that the model is robust to changes in orientation, and resolution, and contrast – representing different imaging micro-CT conditions - supporting its potential for broader application.
Using the results from the U-Net segmentation, we quantify bone regeneration in the scaffolds considering the treatments above and compare the outcomes in order to understand what factors contribute most to bone regeneration. The analysis considers both anatomic factors (implantation site (A, M, P), depth of scaffold in the defect (Hb/s)) and geometric factors created by the surgical procedures (defect to scaffold diameter ratio (∅d/s) – or the gap between scaffold and defect - and scaffold tilt (tan(θ))). The quantitative analysis shows that scaffolds implanted in the middle implantation site had significantly higher BGF than scaffolds in the anterior implantation site (p < 0.05). BGF variation is caused by other factors like bone contact fraction (BCF), defect to scaffold diameter ratio (∅d/s), the fraction of the scaffold height within the defect (Hb/s), and the tilt (tan(θ)) within the defect. When we isolate the BGF from BCF, ∅d/s, Hb/s, and tan(θ), we observe that all dry scaffolds (control rectilinear - dry, optimized rectilinear, optimized curvilinear) had significantly higher BGF than all wet scaffolds (cells, serum, EVs) (p < 0.05). This result is important because it supports our previous findings: fluid in the defect acts synergistically with these HAp scaffolds with multiscale porosity, through their capillarity, in enhancing bone regeneration [1,2]. The current study shows that this capillary effect is prominent after accounting for other factors like those caused by bone anatomy or geometry of the defect. The results further show that the combination of endogenous biologic components in the defect fluid is also synergistic compared to the individual components (cells, serum, EVs). All together, this study provides guidance for implant design at the scale of the defect and scaffold size and shape, as well as at the scale of the microstructural features of the scaffold that can generate the capillary forces to draw in fluid.Submission published under a 24 month embargo labeled 'U of I Access', the embargo will last until 2027-12-01The student, Sohaila Aboutaleb, accepted the attached license on 2025-11-25 at 13:04.The student, Sohaila Aboutaleb, submitted this Dissertation for approval on 2025-11-25 at 13:11.This Dissertation was approved for publication on 2025-11-30 at 11:46.DSpace SAF Submission Ingestion Package generated from Vireo submission #22950 on 2026-02-19 at 18:45:5
Identifying fall prevention and management needs of people post-stroke who use wheelchairs and scooters
No full textPeople post-stroke who use wheelchairs or scooters (WC/S) for mobility represent an understudied and underserved population in fall prevention research. While falls are widely documented among people post-stroke who are ambulatory, little is known about fall incidence, consequences, contributing factors, and fall prevention programs among people post-stroke who use WC/S full-time. The purpose of this dissertation was to identify the fall prevention and management needs of people post-stroke who use WC/S and to generate understanding and knowledge to guide development of tailored, evidence-informed fall prevention and management programming.
This dissertation used a mixed-methods approach consisting of two phases. Phase I was a systematic review of fall incidence, consequences, contributing factors, and existing fall prevention and management programs for people post-stroke who use WC/S. Seven studies met inclusion criteria. Review findings revealed high fall incidence (up to 47% during inpatient rehabilitation), with falls commonly occurring during transfers and wheelchair operation. Injuries were typically minor but may have been underestimated due to the controlled inpatient environment. Risk factors included impaired balance and postural control, spatial and cognitive deficits, behavioral impulsivity, and inadequate WC/S transfer training. Few intervention studies were identified, and no comprehensive, community-based fall prevention programs existed for this population.
Phase II included three complementary studies: (1) a convergent parallel mixed-methods study with people post-stroke who use WC/S (online survey + semi-structured interviews), identified their perception of fall risks, consequences, contributing factors, and fall recovery strategies based on the unique personal insights, (2) qualitative interviews with care partners and clinicians, gathered their perspectives on the perception of fall risks, consequences, contributing factors, and fall recovery strategies, and (3) qualitative interviews with three stakeholder groups (people post-stroke who use WC/S, care partners, and clinicians), explored their experiences with existing fall prevention programs they had received or delivered, and highlighted the key elements needed for a tailored fall prevention and management program. Quantitative findings demonstrated high levels of fall concerns, frequent environmental and transfer-related fall circumstances, and multidimensional fall consequences affecting physical, functional, psychosocial, and social domains. All three stakeholder groups reported people post-stroke who use WC/S had trouble recovering independently from falls and described prolonged time on the ground as a major safety concern. Qualitative data revealed that falls often occurred during toileting, transfers, reaching, or navigating uneven surfaces, and were strongly influenced by stroke-related impairments, inadequate training in safe WC/S skills, and environmental barriers. Across all groups: people post-stroke, care partners, and clinicians, there was consensus that current fall prevention education is insufficient, overly focused on ambulatory populations, and not delivered consistently in clinical care. All groups’ participants emphasized the need for WC/S-specific training, peer-supported learning, individualized problem-solving, care partner involvement, and practical, scenario-based education extending beyond inpatient rehabilitation.
Findings across phases converged to demonstrate that people post-stroke who use WC/S face substantial and unique fall risks that are not addressed by existing fall prevention programs. This dissertation identified critical gaps in research and clinical practice and outlines key components for future interventions, including WC/S and transfer skills training, environmental navigation strategies, cognitive and behavioral fall risk management, fall recovery techniques, and comprehensive, community-based education. These findings provided essential groundwork for the development of tailored fall prevention and management programs that better reflect the needs and preferences of people post-stroke who use WC/S.Submission published under a 24 month embargo labeled 'U of I Access', the embargo will last until 2027-12-01The student, Ziwei Li, accepted the attached license on 2025-11-26 at 20:46.The student, Ziwei Li, submitted this Dissertation for approval on 2025-11-26 at 21:04.This Dissertation was approved for publication on 2025-12-01 at 16:35.DSpace SAF Submission Ingestion Package generated from Vireo submission #22973 on 2026-02-19 at 18:46:0
A sound of Korea: Hunminjeongeum by Byunghee Oh
No full textChoral musicians worldwide are eager to explore new music characterized by diverse languages, backgrounds, and messages. The growing number of languages found in choral repertoires performed internationally is reflective of a global trend in choral music conducting. There is a significant surge of interest in music by women and, amid this growing global enthusiasm for female choral composers, women are currently at the forefront of the choral scene in South Korea. Even the most acclaimed Korean composers’ work, both male and female, often remains unrecognized internationally due to language barriers and the challenges of grasping traditional Korean melodies and rhythms.
This dissertation addresses these challenges through an in-depth study of Hunminjeongeum (훈민정음, 2021), a 70-minute choral composition by a prominent Korean composer, Byunghee Oh. Inspired by the historical origins of the Korean writing system, Hangeul (한글), the work blends traditional Korean musical idioms with modern choral textures. Many ideas and materials explored will be familiar to Korean readers; however, the primary effort of this work is to synthesize and translate elements to facilitate an increased understanding by a larger choral conducting audience—and in a manner that will be engaging and accessible to conductors and ensembles worldwide. By providing detailed linguistic analysis, including International Phonetic Alphabet (IPA) transcriptions, this research aims to support non-Korean-speaking conductors and performers in approaching the work with linguistic and stylistic accuracy. Ultimately, this paper contributes to the broader effort of making contemporary Korean choral music more accessible to international audiences and encourages a more inclusive and diverse choral repertoire worldwide.Submission published under a 24 month embargo labeled 'U of I Access', the embargo will last until 2027-12-01The student, Seungah Kwon, accepted the attached license on 2025-12-02 at 12:53.The student, Seungah Kwon, submitted this Dissertation for approval on 2025-12-02 at 23:30.This Dissertation was approved for publication on 2025-12-03 at 10:50.DSpace SAF Submission Ingestion Package generated from Vireo submission #23006 on 2026-02-19 at 18:46:2
Diversifying crop systems by developing intercropping breeding strategies for improving forage yield and quality in oat-legume mixtures
No full textIntercropping is a critical yet underutilized strategy for enhancing agricultural system resilience in U.S. Midwest cropping systems. Chapter 1 reviews the historical, economic, and ecological factors that have entrenched monoculture in the Midwest, highlighting the resulting vulnerabilities to climate variability, soil degradation, and input dependence. We build a case for spatial re-diversification through intercropping to enhance agroecosystem resilience and productivity. The chapter examines benefits of intercropping alongside adoption barriers, including yield penalties and management complexities. From a breeding perspective, we explore opportunities for addressing these challenges, with emphasis on cereal-legume mixed intercropping. We highlight recent technological advances with the potential to accelerate progress in breeding for intercrop systems. Finally, we outline practical strategies and discuss future priorities for intercrop breeding and research.
One particularly promising application of cereal-legume intercropping is in forage systems, where mixtures enhance both yield and quality compared to monocultures, offering a sustainable approach for meeting rising global demand for high-quality livestock feed. In the Midwest, oat (Avena sativa L.) is commonly intercropped with field pea (Pisum sativum L.) to improve forage performance. Despite these advantages, breeding progress for forage mixtures remains slow due to the logistical challenges of evaluating numerous genotype combinations under field conditions. To address this constraint, efficient intercrop breeding requires preliminary understanding of genetic variation, trait heritability and correlations, and the relationship between monoculture and mixture performance to streamline selection strategies. We used oat-pea mixtures as a use case for the potential of cereal-legume intercropping systems.
In chapter 2 presents a comprehensive oat-pea mixed intercropping case study, whereby 24 spring oat and 5 field pea genotypes were evaluated in monoculture and intercrop conditions across three seasons for forage yield (YLD), crude protein (CP), neutral detergent fiber (NDF), acid detergent fiber (ADF), total digestible nutrients (TDN), and relative feed value (RFV). Genetic variance, heritability, general mixing ability (GMA), and specific mixing ability (SMA) were analyzed using mixed models; intercrop advantage was evaluated using net effect ratio (NER) and transgressive overyielding index (TOI). Forage traits exhibited moderate to high heritability (H² = 0.48–0.66) with substantial genetic variance. GMA effects were highly significant for all oat traits, while SMA effects were non-significant, indicating mixture performance is determined by genotype additive effects. Monoculture performance predicted 38–74% of mixture GMA variance, highest for fiber traits (TDN r² = 0.74; NDF r² = 0.64). Transgressive overyielding for crude protein was frequent (76–93 mixtures per season exceeding best monoculture by up to 38%), and positive net effects (NER = 1.07–1.14) indicated improved land-use efficiency. These results support staged breeding strategies combining early-generation monoculture screening for highly heritable and predictable traits followed by targeted mixture evaluation in advanced trials for traits less predictable from monoculture.
Accelerating genetic gain for forage yield and quality in cereal-legume intercrop mixtures requires innovative phenotyping strategies to address the logistical challenge of evaluating yield and quality across numerous species and genotype combinations. While UAV-based high-throughput phenotyping is well established in monocrops, few studies examine its application in intercropping field experiments. As detailed in chapter 3, we tested the utility of UAV-derived multispectral vegetation indices (VIs) for predicting forage yield and nutritive quality traits in oat–pea mixtures, evaluated as described above. Five VIs—three near-infrared-based (NDVI, GNDVI, NDRE) and two green-band indices (EXG, EXGR)—were incorporated as secondary traits in multivariate mixed models to assess predictive ability in cross-validation studies. VIs exhibited moderate to high heritability (H² = 0.37–0.79) and significant correlations with forage traits in mixtures ranging between 0.19 to 0.57. Models combining all five VIs achieved the highest predictive ability (0.32–0.83). A novel pattern emerged: green-band VIs were particularly effective for predicting CP and RFV, reflecting sensitivity to pea canopy-cover and leaf area, whereas NIR-based VIs were more associated with yield and fiber, characteristic of oat biomass. These complementary associations indicate that VIs capture species composition and biomass partitioning in mixed stands. Integrating NIR- and green-band indices was essential for maximizing prediction accuracy. UAV-based VIs are effective for high-throughput selection in oat-pea intercrop breeding.
Finally, accelerating the rate of genetic gain for these complex forage traits requires reducing the breeding cycle time. In Chapter 4, we developed and validated a novel greenhouse protocol, ‘Single-Seed-SpeedBulks,’ that combines ‘speed breeding’ (22 h extended photoperiod) with a high-density, modified single-seed descent (mSSD) method using sand media to accelerate the development of uniform fixed oat breeding germplasm. Our results showed that plants grown in high-density sand under 22 h of light flowered approximately 20 days earlier than those grown under standard 16 h control conditions, while about 85% of plants produced a single seed, closely matching single-seed descent assumptions and substantially reducing space and labor requirements. We translated these findings into a standard operating procedure that advances oat populations from F2 to near-homozygous F4 lines within one year, thereby shortening breeding cycle. Integrating this protocol into spring oat breeding pipelines can accelerate the rate of genetic gain by speeding the development of oat lines to be trialed for cereal–legume intercropping systems.Submission published under a 24 month embargo labeled 'U of I Access', the embargo will last until 2027-12-01The student, Milcah Kigoni, accepted the attached license on 2025-12-01 at 15:18.The student, Milcah Kigoni, submitted this Dissertation for approval on 2025-12-01 at 15:31.This Dissertation was approved for publication on 2025-12-03 at 11:14.DSpace SAF Submission Ingestion Package generated from Vireo submission #23009 on 2026-02-19 at 18:46:2
How social status shapes U.S. children’s beliefs about social mobility
No full textChildren grow up within social hierarchies that shape their everyday lives. Social mobility is a core mechanism through which societies either challenge or maintain existing inequalities. The present study examined how U.S. children’s social status—both experimentally manipulated and measured at the national level—shapes their beliefs about social mobility for themselves and their high- and low-status peers. Children (N=130; 3-8 years; 70 girls, 59 boys, 1 non-binary; 12.3% Asian, 6.9% Black, 11.6% Latine, 20.7% Multiracial, and 48.5% White) were randomly assigned to either experimentally advantaged or disadvantaged groups. They were then assessed on their 1) general expectations about social mobility, 2) effort-contingent expectations for mobility, and 3) post-hoc explanations upward and downward mobility. We found that compared to experimentally-disadvantaged children, experimentally-advantaged children were more likely to have higher expectations for themselves and high-status peers, but lower expectations for low-status peers. With age, both experimentally- and nationally-disadvantaged children exhibited higher expectations for themselves and lower expectations for high-status peers, whereas experimentally- and nationally-advantaged children’s expectations remained stable. Older children were also more likely to believe working hard leads to upward mobility and attribute upward/downward mobility to individual effort. This tendency was especially pronounced for their own upward (vs. downward) mobility, but less so when evaluating the upward mobility of high-status peers (vs. themselves). These results suggest that children’s beliefs about social mobility develop throughout childhood, differ by target, and are shaped by their own social status.Submission published under a 24 month embargo labeled 'U of I Access', the embargo will last until 2027-12-01The student, Junyi Mei, accepted the attached license on 2025-12-03 at 10:41.The student, Junyi Mei, submitted this Thesis for approval on 2025-12-03 at 10:49.This Thesis was approved for publication on 2025-12-03 at 14:38.DSpace SAF Submission Ingestion Package generated from Vireo submission #23042 on 2026-02-19 at 18:46:4
Maximizing indoor air quality and thermal comfort in naturally ventilated education buildings
No full textEducation buildings in the United States are a critical part of the nation's infrastructure, serving 29% of the US population who spend a major part of their daytime indoors. These buildings represent 14% of the total commercial floor space and are the third major consumer of energy. Furthermore, the majority of these education buildings are aging, with 61% built before 1990, and they often suffer from poor ventilation and antiquated heating systems. These conditions of poor indoor air quality (IAQ) and thermal discomfort have been reported to negatively impact the health, wellbeing, and academic performance of students and faculty. Accordingly, building owners and designers need to carefully analyze and optimize the design of these buildings in order to maximize indoor air quality and thermal comfort while minimizing construction costs.
The main goal of this research study is to develop novel models for optimizing the design of naturally-ventilated education buildings that provide the capability of maximizing indoor air quality and occupant thermal comfort while minimizing construction cost. To accomplish this goal, the research objectives of this study are to develop: (1) a novel multi-objective optimization model for generating optimal tradeoffs between maximizing indoor air quality in naturally-ventilated classrooms and minimizing their construction cost; (2) an innovative multi-objective optimization model for optimizing the building envelope design to maximize the thermal comfort of its occupants while minimizing its initial cost; and (3) an original multi-objective occupant comfort model that is capable of generating optimal tradeoffs between maximizing weighted indoor air quality, maximizing weighted thermal comfort, and minimizing building envelope cost.
The performance of the developed optimization models was analyzed and verified using case studies of naturally-ventilated education buildings. The results of this analysis illustrated the original contributions of the developed models and their novel methodologies for (i) generating optimal tradeoffs between classroom air quality and related construction cost; (ii) quantifying and optimizing classroom thermal comfort using the ASHRAE Adaptive Model; (iii) accounting for varying occupant loads across different building spaces using original weighted metrics for indoor air quality and thermal comfort; and (iv) maximizing weighted indoor air quality and weighted thermal comfort while minimizing envelope cost. These novel and unique capabilities are expected to support building designers in their ongoing efforts to enhance the indoor air quality of learning spaces, improve the thermal comfort of building occupants, and reduce the construction cost of education buildings. These improved learning environments will positively impact the academic performance, health, and well-being of students, faculty, and staff.Submission published under a 24 month embargo labeled 'U of I Access', the embargo will last until 2027-12-01The student, Dario Acosta Acosta, accepted the attached license on 2025-12-03 at 18:08.The student, Dario Acosta Acosta, submitted this Dissertation for approval on 2025-12-03 at 18:20.This Dissertation was approved for publication on 2025-12-04 at 20:27.DSpace SAF Submission Ingestion Package generated from Vireo submission #23054 on 2026-02-19 at 18:46:4
Localization of robot and landmark with indistinguishability
No full textWe research localization problems with robots and landmarks related to the aspect of indistinguishability in multi-dimensional spaces. With the initial position ranges for the robot and landmarks using specific measurement models, we develop a general algorithm for minimizing the position ranges under various conditions, which are related to the number of dimensions, the number of landmarks, and the value of the measurement model radius. We also study the characteristics of indistinguishable systems to derive propositions that are useful to help us distinguish the optimal ranges for robots and landmarks.Submission published under a 24 month embargo labeled 'U of I Access', the embargo will last until 2027-12-01The student, Ye Liu, accepted the attached license on 2025-12-04 at 12:06.The student, Ye Liu, submitted this Thesis for approval on 2025-12-04 at 12:13.This Thesis was approved for publication on 2025-12-11 at 10:15.DSpace SAF Submission Ingestion Package generated from Vireo submission #23059 on 2026-02-19 at 18:46:4