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Articles 1381 - 1410 of 52999
Full-Text Articles in Entire DC Network
Intelligent Method Of Dynamic Control For A Class Of Stochastic Nonlinear Systems, Isamidin Khakimovich Siddikov, Davronbek Abdalimovich Khalmatov, Gulchekhra Rakhimjanovna Alimova, Dilnoza Rakhmanovna Khushnazarova
Intelligent Method Of Dynamic Control For A Class Of Stochastic Nonlinear Systems, Isamidin Khakimovich Siddikov, Davronbek Abdalimovich Khalmatov, Gulchekhra Rakhimjanovna Alimova, Dilnoza Rakhmanovna Khushnazarova
Chemical Technology, Control and Management
The paper considered the problems of researching the stabilisation system and backstepping control of stochastic nonlinear systems. The characteristics of stochastic nonlinear dynamic control systems are random signals with normal lawful distribution, which significantly complicates task control. In stochastic control, it is necessary to determine the trajectories of the control variables in order to achieve the desired control objective at minimum cost. Since the mathematical equations of stochastic nonlinear systems are not always constant, not every model-based controller can be accurate. Therefore, in this work, a neuro-fuzzy network is used to evaluate the parameters of the control system with backstepping, …
Possibilities Of Digitizing And Applying Artificial Intelligence To National Occupational Classification (Noc-2025) In Uzbekistan, Shohrux Nurali O‘G‘Li Narzullayev
Possibilities Of Digitizing And Applying Artificial Intelligence To National Occupational Classification (Noc-2025) In Uzbekistan, Shohrux Nurali O‘G‘Li Narzullayev
Chemical Technology, Control and Management
This article examines the process of digitizing National Occupational Classification (NOC-2025) in Uzbekistan, developed on the basis of the International Standard Classification of Occupations (ISCO-08), and the possibilities of applying artificial intelligence technologies to it. Although this classification exists today in a national form, and its digitization and the introduction of artificial intelligence elements to it based on modern technologies remain a pressing issue. In order to digitize the classification, international systems such as the International Standard Classification of Occupations (ISCO-08, ILO), European Skills, Competences, Qualifications and Occupations (ESCO), Occupational Information Network (O*NET, USA) and National Occupational Classification (NOC, Canada) …
Enhanced The Simultaneous Recovery/Extraction Of Combined Heavy Metals Of Lead And Vanadium From Synthetic Wastewater Using An Emulsion Liquid Membrane (Elm) With Nanoparticles And Ionic Liquid, Qusay Al-Obaidi, Nora Yehia Selem, Oumaima Karai, Kaoutar Benabderazak, Muthanna H. Al-Dahhan
Enhanced The Simultaneous Recovery/Extraction Of Combined Heavy Metals Of Lead And Vanadium From Synthetic Wastewater Using An Emulsion Liquid Membrane (Elm) With Nanoparticles And Ionic Liquid, Qusay Al-Obaidi, Nora Yehia Selem, Oumaima Karai, Kaoutar Benabderazak, Muthanna H. Al-Dahhan
Chemical and Biochemical Engineering Faculty Research & Creative Works
Recovery/extracting of a combination of lead (Pb(II)) and vanadium (V(V)) ions from wastewater has been enhanced by an emulsion liquid membrane with the presence of magnesium oxide (MgO) or aluminum oxide (Al2O3) nanoparticles (20–50 nm size range) in the internal/stripping phase (W1) and ionic liquid ([OMIM] PF6) in the organic/oil phase (O). The study found that the recovery/extraction batch time was shortened, enhancing emulsion extraction efficiency and stability. Furthermore, the study outcomes extend the ELM separation techniques to industrial-scale pollutant recovery/extraction applications, especially heavy metal ions, from industrial effluent. The percentage of Pb(II) recovery/extraction was increased …
Crisis Observatory: Extracting Credible Signals During A Crisis In The Age Of Llms, Kuan-Chieh Lo, Pranav Maneriker, Sriram Sai Ganesh, Dominik Winecki, Kelly Garrett, Ayaz Hyder, Arnab Nandi, Valerie Shalin, Shannon A. Bowen Ph.D., Amit Sheth, Srinivasan Parthasarathy
Crisis Observatory: Extracting Credible Signals During A Crisis In The Age Of Llms, Kuan-Chieh Lo, Pranav Maneriker, Sriram Sai Ganesh, Dominik Winecki, Kelly Garrett, Ayaz Hyder, Arnab Nandi, Valerie Shalin, Shannon A. Bowen Ph.D., Amit Sheth, Srinivasan Parthasarathy
Publications
Systems for crisis response have required several different models for the analysis of unstructured text, such as identifying needs, locations, topics, routing, and matching of needs with available responders. Large Language Models (LLMs) have replaced task-specific models across various language processing tasks. However, LLMs are known to be limited by their training data, collected before the crisis. In this demo, we explore the use of LLMs for crisis response scenarios with rapidly evolving information environments. We show how the augmentation of these models with external reliable sources of crisis-specific information can help build adaptive systems for response. The demonstration video …
Mine Tailings As A Sustainable Filler For Asphalt Binder–Mastics: A Review, Daniel O. Oguntayo, Nuha S. Mashaan, Sanjay K. Shukla
Mine Tailings As A Sustainable Filler For Asphalt Binder–Mastics: A Review, Daniel O. Oguntayo, Nuha S. Mashaan, Sanjay K. Shukla
Research outputs 2022 to 2026
Sustainability has become a primary focus on a global scale. However, there is a threat to sustainable development due to the substantial generation of waste from urbanization and industrialization. Particularly, the accumulation of mine tailings is a problem, an industrial waste by-product from the mining sector. To support sustainable development and promote circular economy, it is imperative to utilize the materials in the production of asphalt mastics. This review examines the performance of mining waste-modified asphalt binder–mastic to create an idea of what tailings might be used for in subsequent studies. This review contributes to knowledge by consolidating research efforts …
Analysis Of Modern Research In The Field Of Automation And Digitalization Of The Dairy Industry, N.A Kabulov, U.K. Sabirov, A.K. Oqilov
Analysis Of Modern Research In The Field Of Automation And Digitalization Of The Dairy Industry, N.A Kabulov, U.K. Sabirov, A.K. Oqilov
Chemical Technology, Control and Management
This article presents a systematic analysis of modern research aimed at the advancement of automation and digitalization technologies in the dairy industry, with particular emphasis on the processes of product sorting and quality control. The main directions of digital solution implementation are examined, including the use of robotic sorting lines, computer vision systems, spectral analysis sensors, and artificial intelligence tools for the automatic verification of product compliance with established standards. A comparative analysis of existing approaches to the implementation of intelligent control systems within the technological cycle — from raw material intake to packaging and finished product logistics — is …
Physicochemical Analysis Of Carbon-Containing Materials Obtained From Vulcanized Rubber Waste And Their Application As Filler Pigments, N.S. Baxranova, Sh.T. Jurayev, D.R. Muminova, Jurayev Shohruh Tulqinovich
Physicochemical Analysis Of Carbon-Containing Materials Obtained From Vulcanized Rubber Waste And Their Application As Filler Pigments, N.S. Baxranova, Sh.T. Jurayev, D.R. Muminova, Jurayev Shohruh Tulqinovich
Chemical Technology, Control and Management
The article presents the results of chemical and scanning electron microscopic analyses of the solid fraction of carbon-containing materials obtained through thermo-oxidative pyrolysis of vulcanized rubber waste. Elemental analysis of the solid product formed during high-temperature pyrolysis of rubber-technical products at 650–700 °C is provided. In addition, the potential use of the carbonaceous material as a pigment is examined. Raman spectroscopic analysis of worn automobile tires showed that their composition consists of approximately 80 wt.% C, 7 wt.% H, 0.4 wt.% N, 1.5 wt.% S, 3 wt.% O, and 8 wt.% inorganic substances.
Intelligent Decision-Making Systems In Smart Greenhouses, Muso Berdiyor Ugli Allanov
Intelligent Decision-Making Systems In Smart Greenhouses, Muso Berdiyor Ugli Allanov
Chemical Technology, Control and Management
Smart greenhouses offer a solution to sustainable food production under climate uncertainty, yet their management often depends on fixed rules or human intuition. This study proposes an intelligent decision-making framework that integrates optimization, simulation, and a neural set into a self-learning system. By generating “conditionally real data” through simulation and evolutionary algorithms, the system can predict microclimatic changes and optimize control of water, energy, and nutrients. Continuous digital feedback enables adaptive, data-efficient operation even with limited real data. Experimental results demonstrate reduced resource use and improved yield stability, advancing the development of autonomous and resilient greenhouse ecosystems.
Development Of Fire Prediction And Prevention Digital System Algorithms, Oybek Zokirovich Koraboshev
Development Of Fire Prediction And Prevention Digital System Algorithms, Oybek Zokirovich Koraboshev
Chemical Technology, Control and Management
This research work is devoted to the development of algorithms for a digital system aimed at early detection, prediction and prevention of fire hazards. In the work, the process of fire hazard assessment is modeled on the basis of modern information technologies and artificial intelligence tools. The main focus is on collecting data in real time, analyzing it and creating algorithms that determine the level of danger. In the process of research, methods of data cleaning, normalization and determination of correlation between variables were used to process multidimensional data streams obtained from various sensors (temperature, smoke, gas concentration and humidity …
Reinforcement Learning In A Virtual World: A Study Of Ppo And Sac Within Unity Ml Agents, Rufat Mammadzada
Reinforcement Learning In A Virtual World: A Study Of Ppo And Sac Within Unity Ml Agents, Rufat Mammadzada
Chemical Technology, Control and Management
This study explores the use of Unity3D as a versatile platform for developing, training, and evaluating intelligent agents through reinforcement learning. Leveraging the Unity ML-Agents Toolkit, a dynamic 3D environment was created to examine agent learning behavior using two advanced algorithms: Proximal Policy Optimization (PPO) and Soft Actor-Critic (SAC). The simulation environment consisted of navigable terrain bounded by red borders, with collectible blue balls serving as rewards and a purple cube representing the agent. A carefully designed reward system was implemented to encourage goal-directed behavior and penalize inefficiency, while time constraints introduced an additional challenge requiring both precision and speed. …
Powder Bed Fusion Of Stainless Steel 304l-Nbc Nanocomposite Produced By Ball Milling Method Using A Laser Beam, Khalid Hussain Solangi, Junaid Iqbal Bhatti, Irfan Ali Tunio, Imdad Ali Memon, Temoor Abbas Larik, Lianyi Chen
Powder Bed Fusion Of Stainless Steel 304l-Nbc Nanocomposite Produced By Ball Milling Method Using A Laser Beam, Khalid Hussain Solangi, Junaid Iqbal Bhatti, Irfan Ali Tunio, Imdad Ali Memon, Temoor Abbas Larik, Lianyi Chen
Mechanical and Aerospace Engineering Faculty Research & Creative Works
Metal powders with uniformly dispersed nanoparticles, suitable shape, and size for additive manufacturing (AM) processes are highly demanded. However, it is difficult to manufacture metal matrix nanocomposite powders (MMNCs) with uniform dispersion of nanoparticles, optimized shape, and size. This study used high-energy ball milling to disperse NbC nanoparticles with an average length of 400 nm (ex-situ reinforcement) in a Stainless Steel (SS) 304 L matrix. In detail, SS304L-5wt% NbC powders were ball-milled from 4 to 10 h. The results showed that the milled powder particles experienced significant cold-welding during the milling time of 4–6 h, with a wide size distribution. …
Ded Printing Process Modeling Using Metal Matrix Composites: In-Situ Feedstock Mixing With Variable Compositions And Empirical Validation, Muhammad Arif Mahmood, Sabin Mihai, Diana Chioibasu, Andrei C. Popescu, Frank Liou
Ded Printing Process Modeling Using Metal Matrix Composites: In-Situ Feedstock Mixing With Variable Compositions And Empirical Validation, Muhammad Arif Mahmood, Sabin Mihai, Diana Chioibasu, Andrei C. Popescu, Frank Liou
Mechanical and Aerospace Engineering Faculty Research & Creative Works
Directed Energy Deposition (DED) is a promising technology for producing metal matrix composites (MMXCs), but precise control over deposited layer dimensions, particularly in multi-material systems, remains difficult to achieve due to the complex interdependence of operating parameters such as laser parameters, feedstock flow rate, and beam energy attenuation. To address these problems, this work proposes an analytical model that predicts the width, height, and depth of the deposited layers using mixed feedstock compositions in-situ, with a focus on Inconel-718 and TiC MMXCs. The model takes into account variables such as laser power, feedstock density, and mixing ratios to improve layer …
Bending Fatigue In Additively Manufactured Metals: A Review Of Current Research And Future Directions, Md Bahar Uddin, Sriram Praneeth Isanaka, Frank Liou
Bending Fatigue In Additively Manufactured Metals: A Review Of Current Research And Future Directions, Md Bahar Uddin, Sriram Praneeth Isanaka, Frank Liou
Mechanical and Aerospace Engineering Faculty Research & Creative Works
Metal additive manufacturing (MAM), also referred to as 3D printing, has proven remarkable in the fabrication of complex metal components in multiple sectors. However, the assessment of this revolutionary process through bending fatigue is frequently impeded due to concerns about mechanical and physical conditions of the printed components. The unique layer-by-layer production process results in varied microstructures, anisotropy, and intrinsic defects that considerably differ from traditionally manufactured wrought metals. This review article aims to integrate and evaluate historical and contemporary research on the bending fatigue of additively manufactured materials. More specifically, the impact of process parameters, build orientation, surface conditions, …
Interface And Mechanical Properties Of 1d And 1d-2d Carbon Nanomaterials In Copper Matrix, Abigail L. Eaton, Arun K. Nair
Interface And Mechanical Properties Of 1d And 1d-2d Carbon Nanomaterials In Copper Matrix, Abigail L. Eaton, Arun K. Nair
Mechanical Engineering Faculty Publications and Presentations
Low-dimensional carbon nanomaterials have unique electron density distributions which warrant their classification as 1D and 2D, and they are useful for a wide variety of nanocomposite applications. This group includes 1D carbyne, which has high stiffness, and a 1D-2D hybrid composed of carbyne and a highly elastic cyclo[18] carbon ring (2D). We use density functional theory and molecular dynamics methods to study the interface properties of carbyne and the hybrid on Cu (111) surface and determine the mechanical properties of nanocomposites comprised of the nanomaterials as a fiber in Cu matrix at varying temperatures. We predict that on Cu (111) …
Comparative Fire Hazards Of Lithium-Ion Battery Chemistries: Linking Thermal Behavior, Gas Toxicity, And State-Of-Charge To Composite Risk Profiles, Aamir Iqbal, Ashish Kakoria, Syed Talha Riaz, Jingmin Xu, Robert Illango Pushparaj, Guang Xu
Comparative Fire Hazards Of Lithium-Ion Battery Chemistries: Linking Thermal Behavior, Gas Toxicity, And State-Of-Charge To Composite Risk Profiles, Aamir Iqbal, Ashish Kakoria, Syed Talha Riaz, Jingmin Xu, Robert Illango Pushparaj, Guang Xu
Mining Engineering Faculty Research & Creative Works
Lithium-ion batteries (LIB) are widely used in electric vehicles (EVs) for their high energy density. However, their fire safety causes concerns because of the toxic gases emission and the challenge to extinguish. The type and quantity of toxic gases released during battery fires remain among the least studied hazards, with limited data available despite their serious health risks. This study examines the thermal and gaseous emission behavior of LIB cells after thermal runaway (TR). Five cell types, Lithium Iron Phosphate (LFP), Lithium Titanate (LTO), and three Lithium Nickel Manganese Cobalt oxide (NMC). The three NMC variants share the same base …
Pricing Strategies In Global Channels: Considering The Effects Of Parallel Trade, Yuan-Mao Kao, Yang Yang, Shih-Fen Cheng, Cheng-Hung Wu
Pricing Strategies In Global Channels: Considering The Effects Of Parallel Trade, Yuan-Mao Kao, Yang Yang, Shih-Fen Cheng, Cheng-Hung Wu
Research Collection School Of Computing and Information Systems
Pricing a global product differently across multiple regions is a common but controversial practice. Although price differentiation helps capture unique market characteristics, it also encourages parallel trade, which may affect the overall corporate performance of a global company. We study this problem with a single global business unit (GBU) and multiple local business units (LBUs). The GBU manufactures a product and sets a transfer price for supplying the product to all LBUs, and LBUs decide retail prices for their respective regional markets. Customers can purchase products in any region by comparing LBUs’ prices and other parallel-imported factors, and we construct …
Fabrication Of Multimodal Anion Exchange Membrane For Chromatographic Purification Of Full Adeno-Associated Viral Capsids, Xiaolei Hao, Sumith Ranil Wickramasinghe, Xianghong Qian
Fabrication Of Multimodal Anion Exchange Membrane For Chromatographic Purification Of Full Adeno-Associated Viral Capsids, Xiaolei Hao, Sumith Ranil Wickramasinghe, Xianghong Qian
Biomedical Engineering Faculty Publications and Presentations
A multi-modal anion exchange ligand 2-methyl-phenylimidazole has been successfully functionalized on highly porous electrospun regenerated cellulose membrane substrate for the separation of full and empty adeno-associated viral (AAV) capsids. The functionalized membrane has an average pore size of 0.5 mu m and exhibits both charge and hydrophobic functionality. The ligand is able to distinguish the subtle physio-chemical differences between the full and empty viral capsids. The multi-modal anion exchange membrane is able to separate the full capsids from affinity-captured mammalian AAV2 using both gradient and two-step elution methods with superior performance. A full capsid recovery of 72.9% at 85.3% purity …
Marine Environmental Protection : An Investigation Into Existing Global Laws Addressing Marine Plastic Pollution, Maryland De Castro
Marine Environmental Protection : An Investigation Into Existing Global Laws Addressing Marine Plastic Pollution, Maryland De Castro
World Maritime University Dissertations
No abstract provided.
An Analysis Of The Legal And Policy Challenges For Developing Countries In Implementing The Imo’S 2023 Ghg Strategy : A Case Study Of South Africa And Indonesia, Mduduzi Godson Qwabe
An Analysis Of The Legal And Policy Challenges For Developing Countries In Implementing The Imo’S 2023 Ghg Strategy : A Case Study Of South Africa And Indonesia, Mduduzi Godson Qwabe
World Maritime University Dissertations
No abstract provided.
The Problem Of Noise Pollution In Chinese Waters : Can The Current National Legal Framework Tackle The Problem?, Zhou Wang
World Maritime University Dissertations
No abstract provided.
Assessment Of Recreational Safety Protocols In Philippine Beaches And Resorts : A Coast Guard Perspective, Jazzyneth Cacnio
Assessment Of Recreational Safety Protocols In Philippine Beaches And Resorts : A Coast Guard Perspective, Jazzyneth Cacnio
World Maritime University Dissertations
No abstract provided.
Integrating Environmental Impact Assessment Into International Shipping Governance : A Bbnj-Pssa Synergy Framework, Thi Thuy Linh Pham
Integrating Environmental Impact Assessment Into International Shipping Governance : A Bbnj-Pssa Synergy Framework, Thi Thuy Linh Pham
World Maritime University Dissertations
No abstract provided.
Analyzing Surface Spectral Signature Shifts In Fire-Affected Areas Of Elko County Nevada, Ibtihaj Ahmad, Haroon Stephen
Analyzing Surface Spectral Signature Shifts In Fire-Affected Areas Of Elko County Nevada, Ibtihaj Ahmad, Haroon Stephen
Civil and Environmental Engineering and Construction Faculty Research
This study investigates post-fire vegetation transitions and spectral responses in the Snowstorm Fire (2017) and South Sugarloaf Fire (2018) in Nevada using Landsat 8 Operational Land Imager (OLI) surface reflectance imagery and unsupervised ISODATA classification. By comparing pre-fire and post-fire conditions, we have assessed changes in vegetation composition, spectral signatures, and the emergence of novel land cover types. The results revealed widespread conversion of shrubland and conifer-dominated systems to herbaceous cover with significant reductions in near-infrared reflectance and elevated shortwave infrared responses, indicative of vegetation loss and surface alteration. In the South Sugarloaf Fire, three new spectral classes emerged post-fire, …
Pyrolysis Of Foliage From 24 U.S. Plant Species With Recommendations For Physics-Basedwildland Fire Models, Mahsa Alizadeh, Thomas H. Fletcher
Pyrolysis Of Foliage From 24 U.S. Plant Species With Recommendations For Physics-Basedwildland Fire Models, Mahsa Alizadeh, Thomas H. Fletcher
Faculty Publications
Pyrolysis of 24 samples of foliage from three U.S. regions with frequent wildland fires (Southeastern U.S., northern Utah and Southern California) was studied in a fuel-rich flat-flame burner system at 765 ◦C (for Southeastern U.S. samples) and 725 ◦C (for northern Utah and Southern California species), with a heating rate of approximately 180 ◦C/s. These conditions were selected to mimic the conditions of wildland fires. Individual plant samples were introduced to the high temperature zone in a flat-flame burner and pyrolysis products were collected. Tar was extracted and later analyzed by GC/MS. Light gases were collected and analyzed by GC/TCD. …
A Gas-Tight Bonding/Sealing Of Different Bulk Ceramics For Robust Oxygen Separation At Ultra-High Temperatures, Guoan Wang, Xingjian Xue
A Gas-Tight Bonding/Sealing Of Different Bulk Ceramics For Robust Oxygen Separation At Ultra-High Temperatures, Guoan Wang, Xingjian Xue
Faculty Publications
Oxygen transport membrane (OTM) is an economic technology for oxygen separation and high-purity oxygen production. To mitigate various issues induced by high temperatures, intermediate temperature OTM technology has been pursued in recent years. However, in certain circumstances, high operating temperatures are unavoidable, such as in situ oxygen production using OTMs for direct oxy-combustion. Nevertheless, the lack of reliable high temperature gas-tight sealing imposes great challenges on OTM technology for such applications. Herein, a novel sealing strategy is developed to obtain a gas-tight bonding/sealing of two different bulk ceramics using ceramic slurry in combination with phase inversion process. The sealing strategy …
Streamflow Reconstruction For The Upper Indus Basin, Syeda Saria Bukhary, Sajjad Ahmad
Streamflow Reconstruction For The Upper Indus Basin, Syeda Saria Bukhary, Sajjad Ahmad
Civil and Environmental Engineering and Construction Faculty Research
The sustainability of water resources in Pakistan faces mounting challenges due to population growth, climate change, and declining groundwater reserves. The Indus River, vital for the country’s agriculture, energy, and economy, suffers from limited instrumental discharge records that do not capture long-term hydrologic variability or extreme flow events. This study addressed this gap by developing streamflow reconstructions for the Upper Indus Basin (UIB) using tree-ring chronologies (TRC) combined with sea surface temperature (SST) data—an approach not previously applied in this region—for four discharge stations: Partab, Daniyor, Besham Qila, and Kachora. Stepwise linear regression models using TRC and SST predictors explained …
A Scoping Review Of Aviation Loss Of Control Inflight Research, Brian J. Roggow
A Scoping Review Of Aviation Loss Of Control Inflight Research, Brian J. Roggow
Journal of Aviation/Aerospace Education & Research
Loss of control – inflight (LOC-I) contributes to aircraft accidents at unacceptably high rates. Significant industry efforts and research have aimed to improve LOC-I prevention, detection, and recovery. This scoping review of literature systematically analyzed LOC-I literature between 2014 and 2024. The scoping review synthesized research findings and recommendations from 116 relevant articles. The research findings and recommendations were also categorized using the SHELL model to identify prevalent and understudied themes. Significant research has examined angle of attack indicators, integrated flight directors, automated LOC-I avoidance, detection, and recovery systems, as well as associated nonlinear aerodynamic modeling. Additionally, human performance shaping …
Teaching Machine Learning To Undergraduate Electrical Engineering Students, Gerald L. Fudge, Anika Rimu, William Zorn, July Ringle, Cody Barnet
Teaching Machine Learning To Undergraduate Electrical Engineering Students, Gerald L. Fudge, Anika Rimu, William Zorn, July Ringle, Cody Barnet
Faculty Publications
Proficiency in machine learning (ML) and the associated computational math foundations have become critical skills for engineers. Required areas of proficiency include the ability to use available ML tools and the ability to develop new tools to solve engineering problems. Engineers also need to be proficient in using generative artificial intelligence (AI) tools in a variety of contexts, including as an aid to learning, research, writing, and code generation. Using these tools properly requires a solid understanding of the associated computational math foundation. Without this foundation, engineers will struggle with developing new tools and can easily misuse available ML/AI tools, …
Cross-Linked Cellulose Ester/Linseed Oil Composites For Controlled Release Fertilizers, Ian Stark
Cross-Linked Cellulose Ester/Linseed Oil Composites For Controlled Release Fertilizers, Ian Stark
USF Tampa Graduate Theses and Dissertations
Food scarcity is an ever-present concern for a growing population but can be mitigated through innovations in agriculture. Fertilizers are required to produce a sufficient amount of food, and while they contain key nutrients for crop growth, these nutrients can leech into the surrounding environment. Controlled release fertilizers slow the release of nutrients, encasing the prills in a semi permeable coating. Current coatings are non-biodegradable, causing microplastic soil contamination, which is very difficult to remove. Cellulose esters offer a compelling alternative, with an ability to cross-link into thin films that can be applied as coatings. The cellulose esterification was completed …
A Radiation-Hardened 4-Bit Flash Adc With Compact Fault-Tolerant Logic For Seu Mitigation, Fnu Naveed, Jeff Dix
A Radiation-Hardened 4-Bit Flash Adc With Compact Fault-Tolerant Logic For Seu Mitigation, Fnu Naveed, Jeff Dix
Electrical Engineering and Computer Science Faculty Publications and Presentations
This paper presents a radiation-hardened 4-bit flash analog-to-digital converter (ADC) implemented in a 22 nm fully depleted silicon-on-insulator (FD-SOI) process for high-reliability applications in radiation environments. To improve single-event upsets (SEU) tolerance, the design introduces a compact fault-tolerant logic scheme based on Dual Modular Redundancy (DMR), offering reliability comparable to Triple Modular Redundancy (TMR) while using two storage nodes instead of three, and a simple XOR-based check in place of a majority voter. A distributed sampling architecture mitigates SEU vulnerabilities in the input path, while thin-oxide devices are used in analog-critical circuits to enhance total ionizing dose (TID) resilience. Post-layout …