Digital Commons Network^™

Adaptive Task-Driven Lidar Point Cloud Compression For Autonomous Driving, Su Hyun Kim

Master's Theses

Autonomous-driving systems generate large LiDAR point clouds, but compression can damage the sparse object-support structure needed by 3D detectors even when reconstructions appear visually plausible. This thesis asks whether adaptive LiDAR compression can preserve downstream detection better than uniform compression by allocating more fidelity to detector-relevant regions. The main study builds a mask-aware range-image codec with an encoder-decoder bottleneck, an importance head, and an adaptive quantization variant. It compares this adaptive variant package with a confirmed masked uniform baseline under one fixed RangeDet evaluation surface and one fixed KITTI validation subset. Two supporting studies bound the result: a projection-reconstruction PointPillars …

Development Of Proposed Airworthiness Certification Criteria For Interference-Tolerant Radio Altimeter Systems, Matheus B. Furstenberger

Student Works

Radio altimeters provide height-above-ground information to flight deck displays and multiple safety-critical aircraft systems, however legacy certification standards were not developed for high-power terrestrial wireless services operating in adjacent C-Band spectrum. This study addressed the absence of a consolidated airworthiness certification framework for interference-tolerant radio altimeter systems installed on Title 14 Code of Federal Regulations Part 25 transport category airplanes. An archival research synthesis was conducted using publicly available regulations, proposed and final rules, technical standard orders, advisory circulars, airworthiness directives, industry standards, spectrum-management documents, technical studies, and stakeholder comments. Qualitative content analysis and source triangulation were used to identify …

Research And Practice Of Four-Dimensional In-Situ Stress Fields For Deep Coalbed Methane Production: A Case Study Of The Daning-Jixian Block, Ordos Basin, Wang Chengwang, Chen Yiyu, Gao Deli, Zhao Haifeng, Chen Gaojie

Coal Geology & Exploration

Background Deep coalbed methane (CBM) reservoirs are characterized by well-developed microstructures and natural fractures, along with highly heterogeneous rock mechanical properties and in-situ stress field distribution. The CBM production of the reservoirs tends to cause constantly evolving formation pressure and in-situ stress within the control ranges of CBM wells, further enhancing the complexity of stress distribution. Additionally, severe fracturing channeling can be observed between new and old wells. This phenomenon is primarily triggered by in-situ stress variations induced by large-scale fracturing and CBM production. Therefore, accurately assessing the dynamic evolutionary patterns of in-situ stresses in reservoirs after fracturing and during …

A Machine Learning Approach For Water Quality Assessment In The Lower Rio Grande Valley Watershed, Saika Nowshin Nowrin, Chu-Lin Cheng, Jungseok Ho, Jinwoo An, Fatemeh Nazari

Civil Engineering Faculty Publications

Water quality analysis plays an essential role in maintaining the health and sustainability of river ecosystems, especially in semi-arid regions like the Arroyo Colorado Watershed in South Texas. Since the river is a vital source of water supply for local communities, agriculture, and wildlife, it faces significant challenges and pollution from land use changes, climate variation, and agricultural runoff. Continuous monitoring and assessment of water quality parameters and their temporal variability are essential to ensure the drinking water supply and aquatic ecosystem health. However, comprehensive laboratory-based water quality investigations are often constrained by higher costs, logistical complexity, and limited manpower. …

Application Of Palmprint Data For Prediction Of Diabetes, Ramasamy K Mr

Theses and Dissertations

Type 2 diabetes is one among the diabetes mellitus which has strong relation with lifestyle, genetics and metabolic dysfunction. The increasing global prevalence, rising healthcare costs, and high percentage of undiagnosed individuals leads to the need of noninvasive, cost-effective early detection methods. In conventional diagnostic methods, laboratory investigations and periodic clinical visits are needed, which may not be feasible for working and middle-aged populations. To overcome this, the research work proposes an automatic, non-invasive and early prediction of Type 2 diabetes using palmprint image analysis integrated with clinical data for identifying diabetic and non-diabetic individuals. The first proposed method aims …

Whole-Life Carbon–Cost–Circularity Optimization For Ai-Era Data Centers: A Robust Multi-Objective Framework Under Carbon Pricing Uncertainty, Arezou Shafaghat, Da Hu, Ali Keyvanfar

Faculty Articles

The explosive growth of artificial intelligence workloads has triggered unprecedented data center construction, yet environmental assessment remains focused on operational energy efficiency. This paper introduces DC-WLC3O, a framework that simultaneously optimizes three objectives across the full data center lifecycle: whole-life cost, whole-life carbon, and material circularity index. The framework integrates cradle-to-cradle lifecycle assessment with dynamic material flow analysis, employing a four-layer analytical stack: Monte Carlo simulation with Latin Hypercube Sampling and Iman–Conover rank correlation; NSGA-III tri-objective Pareto optimization; Sobol’ variance-based global sensitivity analysis; and Many-Objective Robust Decision Making (MORDM). The framework evaluates 192 design configurations for a 30 MW hyperscale …

Radiation Effects On The Amd Versal Running An Automatic Modulation Classification Model, Allan D. Howe

Theses and Dissertations

With the recent increase of interest into artificial intelligence (AI), graphics processing units (GPUs) have been used as the main hardware architecture for AI computation. Because of their high power consumption and large size, it is necessary to consider other architectures to perform AI computing in outer-space where size, weight, power, and cost (SWaP-C) are tightly constrained. One such architecture is the Advanced Micro Devices (AMD) Versal Adaptive Compute Acceleration Platform (ACAP), which can achieve acceptable AI throughput at a lower power and size compared to a GPU. As the Versal ACAP gets used in space applications, it is necessary …

Chemical Composition Stability Of Cu–Sn And Cu–Zn Journal Bechemical Composition Stability Of Cu–Sn And Cu–Zn Alloys Fabricated By Sand And Permanent Mold Casting With Nickel Alloying, Erwin Erwin, Didik Sugiyanto, Juan Pratama, Trisna Ardi Wiradinata, Abdul Rachmadhan, Muhammad Fikri Andika

Journal of Mechanical Engineering Science and Technology (JMEST)

The processes of moulding and reinforcing chemical elements have a big impact on the balance of chemical composition in copper-based bearing alloys. This has a direct impact on how well the material works. This study examines Cu–Sn alloys produced via sand casting and Cu–Zn alloys fabricated through permanent mould casting, with the incorporation of nickel, which remains uncommon. The objective was to examine the variations in the equilibrium of the chemical composition and the performance potential of the bearing alloy metal when subjected to different casting techniques and nickel concentrations ranging from 0% to 4%. Some of the methods used …

Effect Of Concentration And Temperature Of Tio2-Al2o3 Hybrid Nanofluid On The Corrosion Rate Of Aluminum Radiator, Ratna Monasari, Rizky Maulana Ramadhan, Nike Nur Farida, Ahmad Hanif Firdaus, Supa Kusuma Aji, Yuniarto Agus Winoko, Rizkyansyah Alif Hidayatullah

Journal of Mechanical Engineering Science and Technology (JMEST)

Corrosion of aluminum radiators can reduce cooling system reliability and shorten service life in automotive applications. This study examines the effect of TiO₂-Al₂O₃ hybrid nanofluid concentration and temperature on the corrosion rate of commercially available aluminum radiator material. Hybrid nanoparticles with a TiO₂-Al₂O₃ mass ratio of 50:50 were dispersed in distilled water at concentrations of 0.6 wt.%, 0.8 wt.%, and 1.0 wt.%. Corrosion behavior was evaluated using a 14-day accelerated immersion test at 60°C and 80°C, and the corrosion rate was determined using the gravimetric mass loss method. The results …

Comparative Analysis Of Strain-To-Velocity Conversion Methods For Active-Source Das Data And Collocated Nodal Stations, Prajwal Panthi, Brady R. Cox

Civil and Environmental Engineering Student Research

Distributed Acoustic Sensing (DAS) provides dense spatial measurements of the dynamic strain along fiber optic cables, offering high-resolution wave sensing for ground motion monitoring and subsurface imaging applications. However, DAS records the axial strain or strain rate, whereas traditional seismic and engineering ground motion equipment and derived metrics are based on particle displacement, velocity, or acceleration, necessitating reliable strain-to-velocity conversion methods. This study evaluates three widely used conversion approaches: the fk-rescaling, curvelet-based conversion, and slant-stack methods. These approaches are applied to a unique high-energy, near-field, active-source dataset collected at the Birds Landing Site in Sherman Island, California. The dataset includes …

Nutrient Enrichment Of Palm Oil Mill Effluent Digestate (Pomed) With Fish Amino Acid And Boiler Ash For Biofertilizer Production, Aryati Putri Maharani, Ziyaulhaq Umar, Shahrul Ismail, Zulkarnaini Zulkarnaini

Journal of Environmental Science and Sustainable Development

Palm oil mill effluent digestate (POMED) has potential as a biofertilizer. However, its application is limited by unbalanced macronutrient composition, particularly low nitrogen (N), phosphorus (P), and potassium (K). This study investigated a laboratory-scale nutrient enrichment strategy for POMED using fish amino acid (FAA) as an organic nitrogen source and boiler ash (BA) as a potassium source. Nitrogen content was determined using a CHNS– O analyzer, while phosphorus and potassium were analyzed using inductively coupled plasma (ICP). Fertilizer quality was evaluated based on the standards and industrial research institute of Malaysia (SIRIM) and Indonesian national standard (SNI 2803:2010). FAA and …

Developing A Natural Language Interface For Knowledge Graphs, Ruth Assefa, Sarah Mendoza, Luke Voinov, Oyku Serap Ogut, Nurcan Yuruk

SMU Journal of Undergraduate Research

This paper proposes to solve the challenge of making databases more user-friendly by interfacing them with OpenAI's ChatGPT-3.5 model. We implemented this solution to assist researchers in easily finding others with similar research interests. Our study involves 184 researchers from 14 departments at Southern Methodist University (SMU). We collected researchers' areas of expertise and biographies and stored them in a Neo4j graph database. We used OpenAI's embedding models to create vector representations of the collected data, allowing for accurate similarity assessments via Neo4j's built-in algorithms. By integrating this system with LangChain, we enabled natural language queries. The results demonstrated high …

Corrigendum To " Urban Transportation Strategy As Urban Sustainable Indicator Frameworks Study Of Masdar City, Abu Dhabi", Rania Badawy Shokry

Mansoura Engineering Journal

No abstract is required for this article.

Straw As A Potential Vegetable Fibre Insulative Infill In Framed Constructions - Material Testing\Tnotereftnote1, Patrick Daly

Journal of Sustainable Construction Materials and Technologies

The construction sector faces increasing pressure to reduce embodied carbon and adopt circular material strategies, with bio-based materials offering a promising pathway. Straw-based insulation, particularly in loose-fill form, has gained traction in Europe, where several products have achieved certification under EAD 040138-01-1201. This study investigates the potential of Irish-processed straw chip as a bio-based insulative infill for framed construction by evaluating its material properties and thermal conductivity–density performance relative to European ETA-certified reference products. A programme of laboratory testing was undertaken on commercially available Irish straw samples, including material characterisation (moisture content, particle morphology, and dust content) and thermal conductivity …

Development And Characterization Of Mycelium-Based Biocomposites From Ganoderma Lucidum Using Spent Yerba Mate And Residual Sunflower Oil For Sustainable Insulation In Construction, Paula V. Alfieri, Guadalupe Canosa

Journal of Sustainable Construction Materials and Technologies

The construction industry urgently requires sustainable alternatives to petroleum-based insulation materials such as expanded polystyrene (EPS) and mineral wool. Mycelium-based biocomposites offer a promising solution by valorizing agricultural waste while delivering competitive thermal and acoustic performance. In this study, developed and characterized biocomposites using Ganoderma lucidum mycelium combined with spent yerba mate and residual sunflower oil (70 g/30 mL), both commonly generated as waste in Argentine institutions. Two formulations were evaluated: high density (HD: 280 ± 5 kg/m³) and low density (LD: 185 ± 5 kg/m³). Samples were cultivated for 90 days at 28 °C and 65% relative humidity and …

Comparative Life Cycle Assessment Of Hemp Walls In Residential Construction In Morocco, Hicham Kaddouri, Rachida Elbarghmi, Firyal Latrache, Marwane Hammouti, Abderrahim Abidouche, Ismael Driouch

Journal of Sustainable Construction Materials and Technologies

This study analyzes the energy and environmental performance of hemp-based wall solutions applied to Moroccan residential buildings by combining dynamic thermal simulation and life cycle assessment (LCA). A reference building is assessed under four representative Moroccan climates (Al Hoceima, Oujda, Marrakech, and Ouarzazate), comparing a conventional wall retrofitted with hemp plaster and a wall incorporating hemp concrete. The results show that hemp concrete significantly reduces annual heating and cooling energy demands by 20–24% depending on the climate, with heating needs decreasing by up to 40% and cooling needs by approximately 15%, particularly in hot and arid regions. The LCA reveals …

Dual-Waste Integration For Geotechnical Improvement: Silica Fume And Eggshell Ash In Kaolin Soil Stabilization, Ng Jun Shen, Muzamir Hasan, Siti Sarah Eliyun, Md. Ikramul Hoque, Mohamad Afiq Jazrin Mohamad Sidek

Journal of Sustainable Construction Materials and Technologies

This study reveals the potential substitution of silica fume and eggshell ash in the technique of soil stabilization, varying across distinct proportions in the modification of geotechnical parameters. The untreated kaolinitic soil which has low soil bearing capacity in nature is frequently reflected in its mechanical instability, for instance, soil settlement and extreme compressibility. By associating the industrial and agricultural material, it is potentially to resolve the above-mentioned issues with explicit designs. A number of laboratory approaches have been implemented in the assessment of basic geotechnical properties, including grain size distribution, Atterberg limits, specific gravity, proctor properties, and shear strength …

Sustainable Hydrogel From Biowaste: Synthesis And Characterization Of Pectin And Starch-Based Hydrogels Derived From Fruit Peel, Aneesa Rasheed Anwar, Roudha Sultan Almarri, Munawwar Ali Khan, Pramod Kumbhar

All Works

Arid regions such as the United Arab Emirates face persistent challenges in agricultural productivity due to water scarcity, poor soil quality, and the overuse of chemical fertilizers. As a sustainable alternative, biodegradable hydrogels offer promising solutions owing to their high swelling capacity, water retention ability, and controlled release of water and nutrients. This study explored the synthesis and characterization of eco-friendly hydrogels derived from pectin and starch extracted from orange and banana peels, respectively. These biopolymers are cross-linked using calcium and polyvinyl alcohol, forming hydrogels suitable for agricultural applications. The quality of the extracted biopolymers was assessed by analyzing moisture …

Application Of Cost-Effective High-Resolution Remote Sensing To Characterize Flooding In Mountain River Corridors, Ishwar Joshi, Ian Gowing, Brian M. Crookston

Civil and Environmental Engineering Student Research

This study evaluated a cost-effective UAV-based multi-sensor approach for characterizing river corridor conditions during and after moderate floods in two mountain river corridors in Northern Utah, USA: the Logan River and Blacksmith Fork River. These study reaches included urban, rural, and agricultural areas, hydraulic structures and bridges, and fish passage structures. A DJI Matrice 300 UAV was used with two separate payloads: an AgEagle Altum-PT multispectral camera and an R3 Pro V2 two-return LiDAR system. The workflow included UAV flight planning and data collection, post-processing of the multi-spectral and LiDAR sensor data, spatial resolution and accuracy assessment, and interpretation of …

Instructional Slides From Molten Salt Electrochemistry Symposium (Moses) 2026, Devin Rappleye, Carlos Mejia, Alex Peroff

Faculty Publications

This instructional slide set was developed for the 2026 Molten Salt Electrochemistry Symposium (MoSES) as an introduction and review of fundamental electrochemical concepts and methods used in molten salt systems. The material is intended for students, researchers, and practitioners seeking to better understand and interpret electrochemical measurements in high-temperature molten salts.

Topics include electrochemical thermodynamics, kinetics, mass transfer, electrode potentials, cyclic voltammetry, chronopotentiometry, chronoamperometry, square-wave voltammetry, electrochemical impedance spectroscopy (EIS), and common approaches for analyzing electrochemical data. Emphasis is placed on building physical intuition, understanding underlying assumptions, recognizing common experimental artifacts, and connecting electrochemical signals to real chemical and transport …

Transmogrifying Coding Into A Social Studies Technology Tool: Using Participatory Design With Engineers And Social Studies Educators To Design Data Visualization Tools For Social Studies Data Literacy Education, Bahare Naimipour, Jessica Zhang, Tamara Shreiner, Mark Guzdial

Journal of Pre-College Engineering Education Research (J-PEER)

Our work aims to inform, design, and create data visualization tools that are meant to be integrated specifically into social studies classes. In this essay we discuss the use of participatory design methods to learn what social studies teachers (both pre-service and in-service) want in their classrooms and test the usability of real tools with these participants. Through this approach we iteratively engage our users, and they inform the design and development of learning tools for the learning and instruction of social studies data literacy. Using a social construction of technology lens, we describe the scaffolding embedded in our tools …

Understanding Transgender And Gender-Nonconforming Students’ Experiences In Precollege Engineering Education: A Latent Profile Analysis, Jialing Wu, Medha Dalal, Rachel Figard, Adam R. Carberry

Journal of Pre-College Engineering Education Research (J-PEER)

Promoting gender equity and inclusion in STEM education remains a central priority, yet empirical research inclusive of transgender and gendernonconforming (TGNC) students is limited, particularly in precollege engineering contexts. This study leverages social cognitive career theory (SCCT) to identify latent profiles of students’ engineering-related beliefs while examining how TGNC students are represented across these profiles relative to their cisgender and gender nonreporting peers. The study draws on four years (2019–2023) of repeated cross-sectional survey data from a national precollege engineering initiative involving 75 high schools across 20 US states. Seven SCCT-related constructs were measured and used as part of latent …

Analyzing Energy Use In 2d & 3d Imaging Systems And Workflows, Michael J. Bennett

Published Works

This study examines energy consumption in cultural heritage imaging systems and workflows, addressing a gap in sustainability research that has to date focused primarily on data storage infrastructure estimations. Using Home Assistant edge computing and Z-Wave smart plugs, seven distinct imaging systems were monitored over 203 hours, capturing 55,211 images, and rendering 2,448 objects. Results show an average energy requirement of 11.1 Wh per object, with an annual total of 747 kWh for digitization activities. Findings highlight opportunities to reduce energy demand and improve efficiency, such as automating continuous light shutoff and optimizing postprocessing routines that support institutional sustainability goals …

Identifying Failure Behaviors In Stereolithography From Varied Print Orientations, Kevin Veltre

Theses and Dissertations

Stereolithography (SLA) is an additive manufacturing (AM) technique that utilizes photopolymerization to create three-dimensional shapes by strategically printing layers of material. Printing parameters such as layer orientation, print resolution and post cure can affect a specimen’s homogeneity, longevity and mechanical characteristics. Because of this variability, print parameters must be carefully considered when designing products and print processes for desired components, as manufacturers often fail to include all relevant print settings when advertising mechanical properties. For this study, 130 SLA-printed specimens were created with 100-micron print layer thickness and print orientations varying between 0 and 90, including intermediate orientations, to observe …

Innovation-Driven Development Of Advanced Manufacturing Industry Clusters: Trends, Issues, And Implications For 15th Five-Year Plan, Mu Rongping, Jingjing Guo, Yuchen Li, Qiang Li, Ze Feng, Mengyuan Zhu

Bulletin of Chinese Academy of Sciences (Chinese Version)

Advanced manufacturing industry clusters have emerged as a key driver of global manufacturing transformation and upgrading, playing an increasingly significant role in technological innovation, industrial collaboration, supply chain resilience, and green, low-carbon development. This study systematically analyzes the innovation development trends of advanced manufacturing clusters worldwide, outlining the strategic layouts, policy measures, and implementation pathways adopted by major countries. Based on a comprehensive review of China’s current development status and prominent challenges in this field, the study proposes targeted policy orientations and recommendations. These policy recommendations include strengthening the innovation capacity of clusters, improving collaborative innovation networks, promoting the integration …

Towards 2035: Future Forms And Strategic Path Of Chinese Agriculture, Liu Tao, Zeyu Yang, Zhaohui Dong

Bulletin of Chinese Academy of Sciences (Chinese Version)

Agricultural modernization is an integral component of the national modernization. Toward 2035, China’s agricultural system confronts multiple challenges, including increasing resource and environmental pressures, rapid upgrading of residents’ consumption structure, and in-depth adjustments in the international supply chain pattern. Meanwhile, it also embraces a series of opportunities brought by transformations in agricultural production technologies and models driven by artificial intelligence, biotechnology, and engineering technology. Based on the perspective of national medium and long-term development strategy, this study sorts out the internal constraints, external opportunities, and development drivers faced by China’s agriculture. It explores six major strategic trends—ecological, intelligent, customized, facility-based, …

Research On Development Strategy Of China’S High-End Medical Device Industry, Liu Zhihong, Hui Zhu, Wei Wu, Jiani Li, Yingke Xu, Jianxin Zhang

Bulletin of Chinese Academy of Sciences (Chinese Version)

High-end medical device industry serves as a critical technological foundation for modern healthcare systems and represents an important indicator of a country’s innovation capacity, advanced manufacturing capability, and industrial governance effectiveness. Amid intensifying global technological competition, upgrading healthcare demands, reshaping regulatory regimes and restructuring global supply chains, promoting the high-quality development of the high-end medical device industry has become essential for enhancing indigenous innovation capacity and ensuring industrial security. This study examines international experiences from the United States, Germany, Japan, and other countries in innovation ecosystem development, regulatory review optimization, market payment incentives, participation in international rules, and governance of …

Perspectives On Promoting Cultivation Of Intelligent Connected Vehicle Industry For Modern Industrial System, Yu Jiang, Yingxiu Zhang, Feng Chen

Bulletin of Chinese Academy of Sciences (Chinese Version)

Promoting the development of intelligent connected vehicles (ICVs) has strategic significance for China to consolidate and expand its leadership in the new energy vehicle industry, accelerate the construction of a strong country in science and technology as well as transportation, and build a modern industry system with international competitiveness. Starting from the progressiveness and safety characteristics of the modern industrial system, and combining the three key requirements of “strategic guidance”, “innovation driven”, and “risk regulation” in the cultivation of emerging industries, this study reviews the innovation practices of major countries in the world to promote the development of the ICV …

Building China’S Space Station Intellectual Property Protection System: Strategic Demands, International Rule Competition, And Institutional Pathways, Xiao Youdan, Bing Xiao, Yi Zheng, Xianghui Liu

Bulletin of Chinese Academy of Sciences (Chinese Version)

As China’s space station transitions into its application and development phase, on-orbit research outputs are entering a period of concentrated yield. The protection of space station intellectual property (IP) has evolved from a theoretical proposition into a pressing institutional demand. For decades, developed economies, notably the United States and European nations, have dominated the development of international space IP rules. Their core approach extends the traditional principle of territoriality through “legal fiction”, establishing jurisdiction based on the “State of registry’s jurisdiction”—that is, treating space objects as extensions of the registering State’s territory, thereby extending the reach of domestic IP law …

Policy Reflections On Promoting Strategic Oriented Basic Research In China: Insights From The U. S. Department Of Energy’S Basic Research Funding System, You Yu, Yun Liu, Wenneng Zhou

Bulletin of Chinese Academy of Sciences (Chinese Version)

Strategy-oriented basic research is a key pathway to driving major original breakthroughs at the frontiers of science, serving national strategic needs, and securing a leading position in global science and technology. It is also a vital pillar for achieving high-level self-reliance and self-strengthening in science and technology and enhancing the capacity for original innovation. Faced with the urgent need to build a science and technology powerhouse and achieve breakthroughs in key core technologies, China has gradually improved its organizational framework for advancing strategy-oriented basic research and has established a solid foundation for policy support and resource allocation. Nevertheless, when measured …