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2023

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Articles 5941 - 5970 of 9780

Full-Text Articles in Engineering

Hydrothermal Liquefaction Of Saccharina Latissima For The Production Of Biofuel, Mayokun A. Oke Apr 2023

Hydrothermal Liquefaction Of Saccharina Latissima For The Production Of Biofuel, Mayokun A. Oke

Mechanical Engineering Theses

We performed hydrothermal liquefaction of brown macroalga (Saccharina latissima) in the presence of homogenous and heterogenous catalysts such as KOH, Na2CO3, Pd/C, HZSM-5, Ce/HZSM-5, and Ni/SiO2-Al2O3 in hot compressed water, to investigate their effects on product yield and composition in the biocrude. To investigate hydrocarbon production, we used methanol as co-solvent (methanol-to-water 1/4 vol.%) and as the only liquefaction solvent. We carried out the experiments in a batch reactor at 330oC and 120-130 bar, and varying temperature, algae-to-water ratio, residence time, and pretreatment method. The biocrude yields …


Structural Integrity Assessment Of Shell And Tube Heat Exchanger Tube-To-Tubesheet Joints Fabricated Using Conventional And Nonconventional Manufacturing Processes, Dinu Thomas Thekkuden Apr 2023

Structural Integrity Assessment Of Shell And Tube Heat Exchanger Tube-To-Tubesheet Joints Fabricated Using Conventional And Nonconventional Manufacturing Processes, Dinu Thomas Thekkuden

Dissertations

Tubes and tubesheets, integral components of shell and tube heat exchangers, have an important role in the functioning of the heat transfer between the tube-side and shell-side fluids. Tube-to-tubesheet joints act as a barrier to prevent the mixing of the transfer fluids in addition to aiding the structural rigidity of the shell and tube heat exchanger. Tube expansion process and welding are the manufacturing processes used for fabricating structurally rigid tube-to-tubesheet joints. Many instances of tube-totubesheet joint failures leading to the complete collapse of the heat exchangers demand attention to assessing the mechanical and metallurgical characteristics of tube-totubesheet joints fabricated …


Capturing Maximum Photovoltaic Power With Machine Learning: Maximum Current Prediction, Mppt Methodology, And Adjustable Ml-Based Controller, Zahi Mohamed Mohamed Apr 2023

Capturing Maximum Photovoltaic Power With Machine Learning: Maximum Current Prediction, Mppt Methodology, And Adjustable Ml-Based Controller, Zahi Mohamed Mohamed

Dissertations

The primary aim of this doctoral thesis is to examine the potential application of machine learning (ML) in optimizing Maximum Power Point Tracking (MPPT) and devising a flexible ML-based controller for photovoltaic (PV) systems. The lack of MPPT mechanisms leads to fixed voltage and current points for PV modules, resulting in substantial power loss when environmental conditions vary. The limitations of conventional and enhanced MPPT methods, as well as finding an alternative controller to classical Proportional-Integral (PI) controllers, have spurred the search for substitute approaches to maximize PV power. To address these limitations, this thesis proposes using ensemble ML techniques, …


Integrated Experimental And Dft Study Of Palladium And Nickel Metals Supported On Reducible Metallic Oxides For Selective Hydrogenation Of Alkynes And Dienes Bonds, Toyin Daniel Shittu Apr 2023

Integrated Experimental And Dft Study Of Palladium And Nickel Metals Supported On Reducible Metallic Oxides For Selective Hydrogenation Of Alkynes And Dienes Bonds, Toyin Daniel Shittu

Dissertations

This dissertation investigates the capacity of ceria (CeO2) to serve as a stand-alone reactive catalyst, and to act as catalyst support for different catalyst configurations. Experimental and density functional theory (DFT) approach were used to critically predict and to design ceria-containing catalysts. Ceria owes the catalytic propensity to the ability to undergo switch in the oxidation state from the +4 to +3 states. Motivated by experimental studies involving CeO2 catalysts, defects CeO2 surface with an oxygen vacancy (CeO2(111)_Vo) was used to explore the decomposition chemistry of methanethiol based on DFT. The potential formation pathways revealed that …


Hydrogen Storage In Depleted Gas Reservoirs: A Comprehensive Review, Nasiru S. Muhammed, Md Bashirul Haq, Dhafer A. Al Shehri, Amir Al-Ahmed, Mohammad M. Rahman, Ehsan Zaman, Stefan Iglauer Apr 2023

Hydrogen Storage In Depleted Gas Reservoirs: A Comprehensive Review, Nasiru S. Muhammed, Md Bashirul Haq, Dhafer A. Al Shehri, Amir Al-Ahmed, Mohammad M. Rahman, Ehsan Zaman, Stefan Iglauer

Research outputs 2022 to 2026

Hydrogen future depends on large-scale storage, which can be provided by geological formations (such as caverns, aquifers, and depleted oil and gas reservoirs) to handle demand and supply changes, a typical hysteresis of most renewable energy sources. Amongst them, depleted natural gas reservoirs are the most cost-effective and secure solutions due to their wide geographic distribution, proven surface facilities, and less ambiguous site evaluation. They also require less cushion gas as the native residual gases serve as a buffer for pressure maintenance during storage. However, there is a lack of thorough understanding of this technology. This work aims to provide …


Potential Of Flow Energy Reduction By Coral Reef: Hydrodynamic Analysis On Acropora Species, Faisal Karim Apr 2023

Potential Of Flow Energy Reduction By Coral Reef: Hydrodynamic Analysis On Acropora Species, Faisal Karim

Theses

One of the most crucial components of the ocean ecology is coral reefs. Being environmentally sustainable, natural structures like coral reefs have recently drawn a lot of attention as a means of reducing the flow energy. The absence of scientific validations on the potential of coral reefs in reducing high-energy flow limits engineering applications of coral reefs to the benefit of civilization. In this research, extensive experimental studies were carried out to investigate the capabilities of coral reefs, to reduce high-energy flows. To determine the high-energy wave reduction by coral reefs, the coral roughness coefficient along with the coral structure …


Reference-Based Screentone Transfer Via Pattern Correspondence And Regularization, Zhansheng Li, Nanxuan Zhao, Zongwei Wu, Yihua Dai, Junle Wang, Yanqing Jing, Shengfeng He Apr 2023

Reference-Based Screentone Transfer Via Pattern Correspondence And Regularization, Zhansheng Li, Nanxuan Zhao, Zongwei Wu, Yihua Dai, Junle Wang, Yanqing Jing, Shengfeng He

Research Collection School Of Computing and Information Systems

Adding screentone to initial line drawings is a crucial step for manga generation, but is a tedious and human-laborious task. In this work, we propose a novel data-driven method aiming to transfer the screentone pattern from a reference manga image. This not only ensures the quality, but also adds controllability to the generated manga results. The reference-based screentone translation task imposes several unique challenges. Since manga image often contains multiple screentone patterns interweaved with line drawing, as an abstract art, this makes it even more difficult to extract disentangled style code from the reference. Also, finding correspondence for mapping between …


Nftdisk: Visual Detection Of Wash Trading In Nft Markets, Xiaolin Wen, Yong Wang, Xuanwu Yue, Feida Zhu, Min Zhu Apr 2023

Nftdisk: Visual Detection Of Wash Trading In Nft Markets, Xiaolin Wen, Yong Wang, Xuanwu Yue, Feida Zhu, Min Zhu

Research Collection School Of Computing and Information Systems

With the growing popularity of Non-Fungible Tokens (NFT), a new type of digital assets, various fraudulent activities have appeared in NFT markets. Among them, wash trading has become one of the most common frauds in NFT markets, which attempts to mislead investors by creating fake trading volumes. Due to the sophisticated patterns of wash trading, only a subset of them can be detected by automatic algorithms, and manual inspection is usually required. We propose NFTDisk, a novel visualization for investors to identify wash trading activities in NFT markets, where two linked visualization modules are presented: a radial visualization module with …


Adaptation Of High Spatio-Temporal Resolution Weather/Load Forecast In Real-World Distributed Energy-System Operation, Amir Ali Safaei Pirooz, Mohammad J. Sanjari, Young Jin Kim, Stuart Moore, Richard Turner, Wayne Weaver, Dipti Srinivasan, Josep M. Guerrero, Mohammad Shahidehpour Apr 2023

Adaptation Of High Spatio-Temporal Resolution Weather/Load Forecast In Real-World Distributed Energy-System Operation, Amir Ali Safaei Pirooz, Mohammad J. Sanjari, Young Jin Kim, Stuart Moore, Richard Turner, Wayne Weaver, Dipti Srinivasan, Josep M. Guerrero, Mohammad Shahidehpour

Michigan Tech Publications, Part 1

Despite significant advances in distributed renewable energy systems (DRES), the technology still faces several substantial challenges that prevent the large-scale adoption of these systems into a country’s energy sector. The intermittency of renewables, uncertainties associated with real-time multi-horizon weather and load forecasts, and lack of comprehensive control systems are among the main technical and regulatory challenges for the real-world adoption of DRES. This paper outlines the current state of knowledge in the real-world operation of DRES and also describes pathways and methodologies that enable and facilitate the uptake of DRES in a country’s energy sector.


Influencing Factors Of Ionic-Wind In A Spherical Structure Propulsion System For Silent Airplane, Tha’Er Khaled Ibrahem Apr 2023

Influencing Factors Of Ionic-Wind In A Spherical Structure Propulsion System For Silent Airplane, Tha’Er Khaled Ibrahem

Theses

Since the first airplane invented 100 years ago, most or all airplanes propulsion systems are based on moving parts powered by fossil-fuel which is impacting our environment by producing unwanted gases such as carbon dioxide, methane, greenhouse gases and more, furthermore, it is well known that there is a degradation in Oil & Gas resources on earth. Therefore, scientists are interested in finding an alternative way to fly an object. Recently, ionic wind-induced by Direct-Current (DC) Corona discharge have been introduced to enhance the future generation of airplanes without the need for moving objects. Corona discharge phenomena occurs when high …


Data-Driven Modeling Of Student Performance In The Time Of Distance Learning, Iman Saad Megdadi Apr 2023

Data-Driven Modeling Of Student Performance In The Time Of Distance Learning, Iman Saad Megdadi

Theses

One of the important aspects that all academic institutions work towards improving is Student Performance. It is obviously the primary indicator of success or failure of institutions. Student performance predictions are vital to instructors and educational decision makers to help, across all levels, tailor learning according to the students’ needs. Therefore, it is essential for Higher Education Institutions to predict student performance in distance learning which has been, and remains, the primary method of learning in some countries due to Corona Virus pandemic. For this reason, this research is going to predetermine a fitting definition of student performance in time …


Heat Transfer Analysis Of Microchannels Heat Sink With Sidewall Fins, Ahmad Ala Eddin Rahhal Apr 2023

Heat Transfer Analysis Of Microchannels Heat Sink With Sidewall Fins, Ahmad Ala Eddin Rahhal

Theses

This study aims to investigate Microchannel Heat Sinks with side wall fins through a model-based approach. The primary objective of the project is to design and analyze the thermal performance of straight Microchannel Heat Sinks with square and triangle-shaped fins on sidewalls. To examine their performance, a computational fluid dynamics (CFD) simulation study is conducted using the ANSYS Fluent software. The study starts by creating a CAD model of the heat sink and then analyzing its thermal properties with the ANSYS Fluent software. From the CFD simulation study, numerical results are obtained for different operational and geometrical conditions. The study …


A Parametric Numerical Analysis Investigation To Optimize The Performance Of The Ranque-Hilsch Vortex Tube, Muneer Ahmad Sungur Apr 2023

A Parametric Numerical Analysis Investigation To Optimize The Performance Of The Ranque-Hilsch Vortex Tube, Muneer Ahmad Sungur

Theses

A vortex tube is a device that separates compressed air into two streams: one with a higher temperature (hot stream) and the other with a lower temperature (cold stream). It is a popular cooling option because it is small, safe, and affordable. The main objective of this thesis is to examine the energy separation performance of RHVT by varying the internal tapering angles of convergent angles (2°, 1.75°, 1.5°, 1.25°, 1°, 0.75°, and 0.5°), straight angles (0°), and divergent angles (0.5°, 1°, 2°, 4°, and 6°), While the cold mass fraction is constant (0.317). Length-to-diameter ratio (Lt/Dt), inlet pressure, and …


A Novel Approach For Detection Fault In The Aircraft Exterior Body Using Image Processing, Noura Nayef Almansoori Apr 2023

A Novel Approach For Detection Fault In The Aircraft Exterior Body Using Image Processing, Noura Nayef Almansoori

Theses

The primary objective of this thesis is to develop innovative techniques for the inspection and maintenance of aircraft structures. We aim to streamline the entire process by utilizing images to detect potential defects in the aircraft body and comparing them to properly functioning images of the aircraft. This enables us to determine whether a specific section of the aircraft is faulty or not. We achieve this by employing image processing to train a model capable of identifying faulty images. The image processing methodology we use involves the use of images of both defective and operational parts of the aircraft's exterior. …


Approximate Computing Based Processing Of Mea Signals On Fpga, Mohammad Emad Hassan Apr 2023

Approximate Computing Based Processing Of Mea Signals On Fpga, Mohammad Emad Hassan

Dissertations

The Microelectrode Array (MEA) is a collection of parallel electrodes that may measure the extracellular potential of nearby neurons. It is a crucial tool in neuroscience for researching the structure, operation, and behavior of neural networks. Using sophisticated signal processing techniques and architectural templates, the task of processing and evaluating the data streams obtained from MEAs is a computationally demanding one that needs time and parallel processing.
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/="/">This thesis proposes enhancing the capability of MEA signal processing systems by using approximate computing-based algorithms. These algorithms can be implemented in systems that process parallel MEA channels using the Field …


Optimal Component Sizing And Control Of A Multi-Source Elecctric Vehicle Based On An Improved Optimization Algorithm And A Novel Energy Management System, Prasanthi Achikkulath Apr 2023

Optimal Component Sizing And Control Of A Multi-Source Elecctric Vehicle Based On An Improved Optimization Algorithm And A Novel Energy Management System, Prasanthi Achikkulath

Dissertations

Electric vehicles (EVs) are considered the ultimate solution for a sustainable transportation alternative to reduce the global warming and energy crisis. The public's perception of EVs is still adverse despite advancements in EV technology because of issues with driving range, high initial costs, the added weight of the energy source, and an unpredictably short lifespan of the EV system. To administer the same performance as compared to modern fossil fuel-based vehicles, hybridization of multiple energy sources is significant for EVs. The most pressing issues with multi-source EVs are optimum source sizing and regulating power flow from hybridization sources with the …


Flexible Materials And Applications For Wearable Sensors, Brock Ferrari Apr 2023

Flexible Materials And Applications For Wearable Sensors, Brock Ferrari

Senior Honors Theses

This literature review aimed to address the limitations of rigid wearable sensors in the medical community by investigating the development of flexible materials for remote health monitoring. A keyword search was conducted on Google Scholar, PubMed, and the Jerry Falwell Library, which yielded 9,102 articles. After applying filtering techniques, the results were narrowed down to 21 articles, which were categorized into "Present Market Conditions," "Flexible Materials for Medical Use," "Applications for Wearable Sensors," and "Potential Use Cases." Discussions were held on prominent materials such as substrate, nanocomposite, and liquid metal materials, exploring their potential applications for chemical and physical sensing, …


Development Of Graphene Oxide/Carbon Nanofiber Hybrid Structure, Greta Liu Bo Wilkins Apr 2023

Development Of Graphene Oxide/Carbon Nanofiber Hybrid Structure, Greta Liu Bo Wilkins

Senior Honors Theses

Graphene oxide (GO) and carbon nanofibers have unique individual properties that could be combined complimentarily to be utilized in a variety of fields. Combining these two materials together into self-standing structures would enable them to maximize their high surface area and electrically conductive properties into applications from lithium batteries to biosensors. This thesis aims to use a two-step process to develop a self-standing carbon nanofiber/GO structure. The first process is the electroless deposition process, and it is used to coat the GO with a metal catalyst. In the second step, a chemical vapor deposition technique is used to deposit carbon …


Application Of Image Processing In Soil Mechanics, Luke Knodel Apr 2023

Application Of Image Processing In Soil Mechanics, Luke Knodel

Senior Honors Theses

Whenever someone digs a hole in the ground or takes a relaxing walk on the beach, they directly interact with the soil. In its basic form, soil consists of solid, water, and air phases. Unlike water and metals, soil is a particulate media, and the relative proportion of the individual phases significantly influences its physical properties. Various studies have analyzed soil using image processing to determine its morphological properties. Research involving the digital processing of X-ray Computed Tomography (X-ray CT) images of soil to retrieve physically meaningful information is gaining recognition. This study investigates two-dimensional X-ray CT images of unsaturated …


Serviceability Analysis And Feasibility Study Of Rooftop Pv System On Commercial Buildings In New York City, Daniel A. Shedo Apr 2023

Serviceability Analysis And Feasibility Study Of Rooftop Pv System On Commercial Buildings In New York City, Daniel A. Shedo

Master's Theses

Concrete Masonry Unit (CMU) blocks (Ballasts) to counterbalance an uplift wind pressure on Photovoltaic (PV) panels have been used widely. In contrast to mechanically attaching PV panels through penetration of a roof slab, the use of CMU blocks is preferred by many building owners, as penetrating and attaching the panels to a roof slab will pose a serious threat to the warranty of roof membranes, which typically last for 30 years. On the other hand, placing CMU blocks along with PV panels and other system components on a rooftop slab adds additional dead load, which may raise a concern regarding …


On Hydrophobic Deep Eutectic Solvents: Thermo-Physical Properties And Applications In Gas Solubility, Shan Khai Liew Apr 2023

On Hydrophobic Deep Eutectic Solvents: Thermo-Physical Properties And Applications In Gas Solubility, Shan Khai Liew

Masters Theses

Carbon dioxide (CO2) has been widely recognized as one of the greenhouse gases (GHGs) in the atmosphere. GHGs cause global warming, which will bring a lot of problems and irreversible changes. To curb CO2 emissions, much effort has been done. There are many technologies available for CO2 capture, such as amine scrubbing, pressure or temperature swing adsorption, membrane separation, and many solvents and absorbents that have been proposed for CO2 capture (e.g., zeolite, silica materials, graphene, activated carbon, etc.) at every stage (pre-combustion, post-combustion, oxy-combustion). However, these materials have their own drawbacks. Hydrophobic deep eutectic solvents (HDES) is a green …


Towards An Evolved Immersive Experience: Exploring 5g-And Beyond-Enabled Ultra-Low-Latency Communications For Augmented And Virtual Reality, Ananya Hazarika, Mehdi Rahmati Apr 2023

Towards An Evolved Immersive Experience: Exploring 5g-And Beyond-Enabled Ultra-Low-Latency Communications For Augmented And Virtual Reality, Ananya Hazarika, Mehdi Rahmati

Electrical and Computer Engineering Faculty Publications

Augmented reality and virtual reality technologies are witnessing an evolutionary change in the 5G and Beyond (5GB) network due to their promising ability to enable an immersive and interactive environment by coupling the virtual world with the real one. However, the requirement of low-latency connectivity, which is defined as the end-to-end delay between the action and the reaction, is very crucial to leverage these technologies for a high-quality immersive experience. This paper provides a comprehensive survey and detailed insight into various advantageous approaches from the hardware and software perspectives, as well as the integration of 5G technology, towards 5GB, in …


Work-In-Progress: Transformation Of A School Of Engineering Technology Gateway Experience, Rustin Webster, Matthew Turner, Brittany Newell Apr 2023

Work-In-Progress: Transformation Of A School Of Engineering Technology Gateway Experience, Rustin Webster, Matthew Turner, Brittany Newell

School of Engineering Technology Faculty Publications

This work-in-progress (WIP) paper begins to 1) describe the transformation of a School of Engineering Technology (SoET) gateway experience and 2) explore students’ outcomes and perceptions in the general areas of preparedness for success, satisfaction, learning preference, and competency development. In the Fall of 2022, the SoET gateway experience was transformed from two unintegrated/decoupled courses to a single course, based in part on observational problems with course design, curriculum, instructional methods, grading, assessments, integration, and documentation. Overall course objectives aimed to introduce students to foundational engineering technology (ET) knowledge, skills, and abilities (KSAs) needed for success in future SoET courses …


Extracting A Body Of Knowledge As A First Step Towards Defining A United Software Engineering Curriculum Guideline, Anton Kiselev Apr 2023

Extracting A Body Of Knowledge As A First Step Towards Defining A United Software Engineering Curriculum Guideline, Anton Kiselev

Doctoral Dissertations and Master's Theses

In general, the computing field is a rapidly changing environment, and as such, software engineering education must be able to adjust quickly to new needs. Industry adapts to technologies as fast as it can, but the critical issue is a need for recent graduates with the necessary expertise and knowledge of new trends, technologies, and practical experience. The industries that employ graduates of computing degree programs aim to hire those who are familiar with the latest technical traits, tools, and methodologies to meet these needs, and the software engineering curriculum needs to respond quickly to these needs. Still, unfortunately, software …


Para Cima Y Pa’ Abajo: Building Bridges Between Hci Research In Latin America And In The Global North, Pedro Reynolds-Cuéllar, Marisol Wong-Villacres, Karla A. Badillo-Urquiola, Mayra Donaji Barrera-Machuca, Franceli L. Cibrian, Marianela Ciolfi Felice, Carolina Fuentes, Laura Sanely Gaytán-Lugo, Vivian Genaro Motti, Monica Perusquía-Hernández, Oscar A. Lemus Apr 2023

Para Cima Y Pa’ Abajo: Building Bridges Between Hci Research In Latin America And In The Global North, Pedro Reynolds-Cuéllar, Marisol Wong-Villacres, Karla A. Badillo-Urquiola, Mayra Donaji Barrera-Machuca, Franceli L. Cibrian, Marianela Ciolfi Felice, Carolina Fuentes, Laura Sanely Gaytán-Lugo, Vivian Genaro Motti, Monica Perusquía-Hernández, Oscar A. Lemus

Engineering Faculty Articles and Research

The Human-computer Interaction (HCI) community has the opportunity to foster the integration of research practices across the Global South and North to begin overcoming colonial relationships. In this paper, we focus on the case of Latin America (LATAM), where initiatives to increase the representation of HCI practitioners lack a consolidated understanding of the practices they employ, the factors that influence them, and the challenges that practitioners face. To address this knowledge gap, we employ a mixed-methods approach, comprising a survey (66 respondents) and in-depth interviews (19 interviewees). Our analyses characterize a set of research perspectives on how HCI is practiced …


Detecting Fast Frequency Events In Power System: Development And Comparison Of Two Methods, Hussain A. Alghamdi, Midrar Adham, Umar Farooq, Robert B. Bass Apr 2023

Detecting Fast Frequency Events In Power System: Development And Comparison Of Two Methods, Hussain A. Alghamdi, Midrar Adham, Umar Farooq, Robert B. Bass

Electrical and Computer Engineering Faculty Publications and Presentations

In power systems, frequency deviation from nominal value can occur due to reasons such as loss of generation, loss of load, or major faults in the grid. Such frequency fluctuations can lead to serious subsequent outages and damages to both end-user and utility equipment. Therefore, a proper frequency deviation detection methodology must be in place to effectively identify frequency events in a timely manner. This manuscript provides a comparative analysis between two frequency deviation detection algorithms. One is based on signal processing and statistical analysis. The other is a regression-based algorithm. Both of these algorithms have multiple adjustable parameters, making …


Transcriptome Profiling Of A Synergistic Volumetric Muscle Loss Repair Strategy, Kevin Roberts, John Taehwan Kim, Jacob Schluns, Grady Dunlap, Jamie Hestekin, Jeffery Wolchok Apr 2023

Transcriptome Profiling Of A Synergistic Volumetric Muscle Loss Repair Strategy, Kevin Roberts, John Taehwan Kim, Jacob Schluns, Grady Dunlap, Jamie Hestekin, Jeffery Wolchok

Biomedical Engineering Faculty Publications and Presentations

Volumetric muscle loss overwhelms skeletal muscle’s ordinarily capable regenerative machinery, resulting in severe functional deficits that have defied clinical repair strategies. In this manuscript we pair the early in vivo functional response induced by differing volumetric muscle loss tissue engineering repair strategies that are broadly representative of those explored by the field (scaffold alone, cells alone, or scaffold + cells) to the transcriptomic response induced by each intervention. We demonstrate that an implant strategy comprising allogeneic decellularized skeletal muscle scaffolds seeded with autologous minced muscle cellular paste (scaffold + cells) mediates a pattern of increased expression for several genes known …


A Survey Of Text Representation And Embedding Techniques In Nlp, Rajvardhan Patil, Sorio Boit, Venkat Gudivada, Jagadeesh Nandigam Apr 2023

A Survey Of Text Representation And Embedding Techniques In Nlp, Rajvardhan Patil, Sorio Boit, Venkat Gudivada, Jagadeesh Nandigam

Open Access Publishing Support Funded Articles

Natural Language Processing (NLP) is a research field where a language in consideration is processed to understand its syntactic, semantic, and sentimental aspects. The advancement in the NLP area has helped solve problems in the domains such as Neural Machine Translation, Name Entity Recognition, Sentiment Analysis, and Chatbots, to name a few. The topic of NLP broadly consists of two main parts: the representation of the input text (raw data) into numerical format (vectors or matrix) and the design of models for processing the numerical data. This paper focuses on the former part and surveys how the NLP field has …


Law Informs Code: A Legal Informatics Approach To Aligning Artificial Intelligence With Humans, John J. Nay Apr 2023

Law Informs Code: A Legal Informatics Approach To Aligning Artificial Intelligence With Humans, John J. Nay

Northwestern Journal of Technology and Intellectual Property

Artificial Intelligence (AI) capabilities are rapidly advancing. Highly capable AI could cause radically different futures depending on how it is developed and deployed. We are unable to specify human goals and societal values in a way that reliably directs AI behavior. Specifying the desirability (value) of AI taking a particular action in a particular state of the world is unwieldy beyond a very limited set of state-action-values. The purpose of machine learning is to train on a subset of states and have the resulting agent generalize an ability to choose high value actions in unencountered circumstances. Inevitably, the function ascribing …


Capabilities Of Conductive Thread Twisted-And-Coiled Actuators As Sarcomeres, Bryan T. Le , '23 Apr 2023

Capabilities Of Conductive Thread Twisted-And-Coiled Actuators As Sarcomeres, Bryan T. Le , '23

Senior Theses, Projects, and Awards

Twisted-and-coiled actuators (TCAs) have shown great potential as an artificial muscle for robotics in terms of material cost and production expenses. However, the power-to-force efficiency of these artificial muscles falls short of biological muscles. Soft robotics takes inspiration from biological organisms for more natural movement, and biological mimicry helps increase the efficiency of robotics. Taking inspiration from how sarcomeres are structured in natural muscles, improvements in the energy efficiency of artificial muscles are possible. In this paper, an experiment was designed to analyze the effects on the efficiency of emulating biological sarcomere structures in artificial muscles. Specifically, this experiment used …