Engineering Commons^™

Integrating External Sensors With Crazyflie Drones, Xiaowen Wang, Dheryta Jaisinghani, Andrew Berns

Summer Undergraduate Research Program (SURP) Symposium

• Drones are widely used: Mini drones such as Crazyflie 2.1 are used in a variety of fields.
• Grove Sound Sensor function: Grove Sound Sensor can capture sound, providing more application possibilities for drones.
• The potential of Crazyflie 2.1: Although Crazyflie 2.1 has the potential to be an integrated sensor platform, prior to this project, it was uncertain whether sensors could be connected on it.
• Project motivation: Our project aims to explore whether Crazyflie 2.1 can be connected to the Grove Sound Sensor and collect and process data from the sensor.
• Impact of the project: If successful, this project will open …

Molybdenum Disulfide (Mos₂) As A Nanocellulose Substrate, Mariana Torres, Dylan Seiffert, Elise Hong-Miller, T. E. Kidd

Summer Undergraduate Research Program (SURP) Symposium

Cellulose is a substance abundant in nature, found in fruits and vegetables, plant cell walls (National Center for Biotechnology Information, 2023), and wood (Sjostrom, 1993). The abundance of cellulose is attributable to its linear chemical structure, as it is composed of long strands of glucose molecules linked together by hydrogen atoms, which enable the substance to withstand significant pressure without breaking (Rongpipi et al., 2019). This property—known as high tensile strength—is joined by its non-toxicity and sustainability, given cellulose may be degraded and renewed naturally (Kaur, 2021). These various properties indicate versatility, and its resultant current and desired uses—such as …

Recent Progress Of Bifunctional Electrocatalysts For Oxygen Electrodes In Unitized Regenerative Fuel Cells, Tian-Long Zheng, Ming-Yu Ou, Song Xu, Xin-Biao Mao, Shi-Yi Wang, Qing-Gang He

Journal of Electrochemistry

Unitized regenerative fuel cells (URFCs), which oxidize hydrogen to water to generate electrical power under thefuel cells (FCs) mode and electrolyze water to hydrogen under the water electrolysis (WE) mode for recycling, areknown as clean and sustainable energy conversion devices. In contrast to the hydrogen oxidation reaction (HOR) andhydrogen evolution reaction (HER) on the hydrogen electrode side, the sluggish kinetics of oxygen reduction reaction(ORR) and oxygen evolution reaction (OER) on the oxygen electrode side requires highly efficient bifunctional oxygencatalysts. Conventional precious metal oxygen catalysts combine Pt and IrO₂ with excellent ORR and OER activities toachieve bifunctional electrocatalysis performance, but …

Ultramicroelectrode Experiments: Principles, Fabrications And Voltmmetric Behaviors, Zhen Ma, Jia-Yang Lin, Wen-Jing Nan, Lian-Huan Han, Dong-Ping Zhan

Journal of Electrochemistry

Due to the small size at least in one dimension (< 25 μm), ultramicroelectrode (UME) has small electric-double-layer capacitance, low IR drop, rapid mass transfer rate, fast response, high signal/noise ratio and high spatiotenporal resolution. UME is qualified not only to study the kinetics of fast electrode processes, but also to act as the probe of scanning electrochemical microscopies to obtain the localized chemical or electrochemical reactivity of the substrates. Thus, UMEs play a significant role in various research domains of electrochemistry, and have become an important electrochemical experimental method. Herein, we will introduce the basic principles, a simple fabrication method and voltammetric experimental protocols of UME, providing a guide to carry out the UME experiments.

Band Alignments Of Metal/Oxides-Water Interfaces Using Ab Initio Molecular Dynamics, Yong-Bin Zhuang, Jun Cheng

Journal of Electrochemistry

Band alignments of electrode-water interfaces are of crucial importance for understanding electrochemical interfaces. In the scenario of electrocatalysis, applied potentials are equivalent to the Fermi levels of metals in the electrochemical cells; in the scenario of photo(electro)catalysis, semiconducting oxides under illumination have chemical reactivities toward redox reactions if the redox potentials of the reactions straddle the conduction band minimums (CBMs) or valence band maximums (VBMs) of the oxides. Computational band alignments allow us to obtain the Fermi level of metals, as well as the CBM and VBM of semiconducting oxides with respect to reference electrodes. In this tutorial, we describe …

Electrochemical Scanning Tunneling Microscopy: Taking The Initial Stage Of Cu Electrodeposition On Au(111) As An Example, Zhuo Tan, Kai-Xuan Li, Bing-Wei Mao, Jia-Wei Yan

Journal of Electrochemistry

Electrochemical scanning tunneling microscopy (ECSTM) plays an important role in the field of electrochemistry, which can obtain potential-dependent structural information of electrode surface with high spatial resolution and observe some reaction processes in electrolyte solutions, and provide a powerful way to understand the interfacial structure and electrode processes from the perspective of high spatial resolution. In this article, the study of electrodeposition of Cu on Au (111) by ECSTM is taken as an example to introduce the experimental methods required for ECSTM and share our experience with other electrochemical groups. Firstly, the working principle of STM is introduced so that …

Serum Metabolomic Profiling For Colorectal Cancer Using Machine Learning, Ria Nur Puspa Sari, Diah Balqis Ikfi Hidayati, Arleni Bustami

Indonesian Journal of Medical Chemistry and Bioinformatics

Background: Colorectal cancer is one of the deadliest diseases with a high prevalence worldwide and is characterized by the appearance of adenomatous polyps in the colon mucosa which are at high risk of developing into colorectal cancer. This study aims to use serum metabolites as promising non-invasive biomarkers for colorectal cancer detection and prognostication. Differences in serum metabolites in patients with adenomatous polyps, colorectal cancer, and healthy controls are considered to be able to support the prognosis of colorectal cancer. Methods: Metabolite dataset is taken from the Metabolomic Workbench. Analysis and validation are carried out in silico using machine learning …

The Unstoppable Rise Of Ai: An Interview With Dr. John Sanford, Spencer Burrows, And Anna Birchler, Brandon Powell, Spencer Burrows

International Journal of Emerging and Disruptive Innovation in Education : VISIONARIUM

AI can both help and hurt the education field (higher education and secondary education). Despite Hollywood’s depiction of artificial intelligence solely in the form of killer death robots decades into the future, AI is much more versatile - and far more dangerous - than any killer robot could be. As artificial intelligence develops at a breakneck pace, its effect on our society will increase exponentially.

Emerging Technology And Pedagogical Application In Design Education, Ritesh Ranjan, Pooja Rana Ms.

International Journal of Emerging and Disruptive Innovation in Education : VISIONARIUM

This research paper investigates the emerging technologies and pedagogical applications in design education. The rapid development of technology has opened up new possibilities for design education, and it is important to explore how these emerging technologies can be used to enhance pedagogical practices. This paper aims to provide a comprehensive understanding of the potential of emerging technologies in design education and their impact on pedagogical practices.

The study employs a qualitative research methodology and draws on a range of literature sources, including academic articles, books, and reports. The research explores the use of emerging technologies such as virtual reality, augmented …

Rebranding Originality For The Age Of Ai, Jason Gulya

International Journal of Emerging and Disruptive Innovation in Education : VISIONARIUM

"Originality" has been a longstanding focal point within the college classroom, with students being encouraged to embrace creativity and boldness. The traditional view of originality, relying solely on one's wit and imagination, has lost its effectiveness in the present era. The concept of learning has undergone a significant transformation, no longer resembling the isolated ivory tower of the past where individuals would immerse themselves in books, hoping to be inspired. Instead, modern learning has become more social and collaborative. Students compare and contrast class material with online resources, engaging in conversations, both in person and virtually, to solidify their understanding. …

Finchain: Adaptation Of Blockchain Technology In Finance And Business - An Ethical Analysis Of Applications, Challenges, Issues And Solutions, Naresh Kshetri, Keith Miller, Gaurango Banerjee, Bikesh Raj Upreti

International Journal of Emerging and Disruptive Innovation in Education : VISIONARIUM

Blockchain Technology is a distributed database technology that has emerged as a ground-breaking technology with several possible solutions to critical applications, say from supply chain management, agribusiness, marketing to healthcare industry including internet of medical things. Although it started as a digital coin (popularly known as bitcoin), it is slowly influencing business, marketing policy and society. We have presented an in-depth study and ethical analysis of how blockchain is applied over the economic and financial sector including banks, credit unions and other retail giants. During our research, we have also investigated how blockchain technology can affect financial institutions around the …

An Investigation Of The Advantages And Disadvantages Of University Students As Avatars In Virtual Learning Spaces, Gary Burnett, Catherine Harvey

International Journal of Emerging and Disruptive Innovation in Education : VISIONARIUM

Authors have noted the increasing importance of avatars in Higher Education, as more teaching is conducted virtually, drawing upon gaming conventions. However, it is also recognised that little is known about how students make use of avatars (especially over an extended period) and the subsequent impact on learning experiences. For the last three years, a university module has been conducted within a persistent virtual world – where students (49 in 2020; 95 in 2021; 122 in 2022) predominantly interact with each other and teaching staff in avatar form. Observation data constitutes 60 hours of video recordings of virtual world seminars. …

Editor's Forward, James Hutson

International Journal of Emerging and Disruptive Innovation in Education : VISIONARIUM

No abstract provided.

Machine Learning-Based Drone And Aerial Threat Detection For Increased Turret Gunner Survivability, Nikolas Koutsoubis

Theses and Dissertations

The introduction of aerial drones on the modern battlefield has transformed combat operations, posing a significant threat to ground-based military operations. Detecting drones in safety scenarios is crucial. However, modern machine learning (ML)-based object detectors struggle to detect small objects like drones. This thesis presents three main contributions: (a) data and algorithmic modifications to improve small object detection in YOLO to aid in drone detection, (b) the development of a benchmark drone detection dataset called DyViR, and (c) the implementation of explainable artificial intelligence (XAI) to ensure transparent and trustworthy decision-making. To boost the performance of small object detection, we …

An Investigative Study On Quick Switching System Using Fuzzy And Neutrosophic Poisson Distribution, Uma G, Nandhitha S

Neutrosophic Systems with Applications

Stephens and Larson (1967) stated the sampling system as an allotted grouping of two or three sampling plans and the rules for switching between the plans for sentencing the lots of manufactured products. Quick Switching System (QSS) by Romboski (1969) is a sampling system with reference to the Single Sampling Plan (SSP) involves normal and tightened plans by adopting a switching rule. QSS provides quality protection and a reduction in the cost of inspection. The idea of fuzzy logic is adopted in the system to handle situations of fraction non-confirmation, uncertainty, or vagueness present in the parameters. The sampling plans …

Performance Evaluation And Thermal Management Solutions For A Sustainable Microsized Hydrogen-Powered Turbo-Shaft Engine, Nikolai Baranov

Discovery Undergraduate Interdisciplinary Research Internship

Analyzing the aerospace and automotive industries, there is a transition to sustainable energy generation. Aiming to bridge industrial emissions with the worldwide net zero goal by 2050, one widely considered solution for long-range drones and small aircraft is compact turbo-shaft engines combusting clean hydrogen gas to produce shaft work. The small size and energy-dense fuel allow for a universal powerplant with high specific power output that fits a wide variety of existing solutions. One such micro-sized turboshaft internal combustion engine was created to test the potential power output, thermal management, and combustor optimization of the existing stainless steel assembly. The …

Comparing Fishbone Drilling And Hydraulic Fracturing In Ultra-Low Permeability Geothermal Reservoirs, Aimene Aihar, Nassim Bouabdallah, Ghoulem Ifrene, Doina Irofti

Petroleum Engineering Posters and Presentations

Harnessing geothermal energy through Enhanced Geothermal Systems (EGS) offers a sustainable and renewable means of tapping the Earth's subsurface heat. However, in ultra-low permeability formations like those found in the Williston Basin, the effectiveness of conventional hydraulic fracturing techniques is limited. This study evaluates the potential of fishbone drilling technology as an alternative approach, focusing on the efficiency and engineering aspects of both methods in the context of geothermal reservoirs with extremely low permeability.

We carried out an extensive literature review, numerical simulations, and case studies to compare fishbone drilling and hydraulic fracturing in EGS applications. Fishbone drilling, which involves …

Evaluating The Permeability Of Porous Aggregate Concrete Using Electrical Resistivity-Based Measurements, Ariel Miguel Mendez Aragoncillo

Theses and Dissertations

Recycled concrete aggregates (RCA) and lightweight aggregates (LWA) are popular alternative aggregates for concrete. However, due to their highly porous structure, concrete with RCA and LWA shows a different microstructure and higher permeability than conventional concrete. Thus, the existing relationships used to evaluate the permeability and, consequently, the durability of concrete are not applicable in concretes with RCA and LWA. This research examined the permeation properties of recycled aggregate concrete (RAC) and lightweight aggregate concrete (LWAC). The relationships between electrical resistivity-based measurements in RAC and LWAC and their permeation properties were determined and compared to that of normal weight aggregate …

Structural Behavior Of Reactive Powder Concrete Under Harmonic Loading, Shatha D. Mohammed, Teghreed H. Ibrahim, Ban F. Salman, Abbas A. Allawi

Faculty Publications

Industrial buildings usually are designed to sustain several types of load systems, such as dead, live, and dynamic loads (especially the harmonic load produced by rotary motors). In general, these buildings require high-strength structural elements to carry the applied loads. Moreover, Reactive Powder Concrete (RPC) has been used for this purpose because of its excellent mechanical strength and endurance. Therefore, this study provides an experimental analysis of the structural behaviors of reinforced RPC beams under harmonic loads. The experimental program consisted of testing six simply supported RPC beams with lengths of 1500 mm, widths of 150 mm, and thicknesses of …

Evaluation Of Hybrid Prediction Models For Accurate Rate Of Penetration (Rop) Prediction In Drilling Operations, Abdelhakim Khouissat, Mohamed Riad Youcefi, Ghoulem Ifrene, Doina Irofti

Petroleum Engineering Posters and Presentations

The precise prediction of the rate of penetration (ROP) is of utmost importance for optimizing drilling operations and minimizing costs while increasing efficiency. However, the complex and nonlinear nature of the drilling process can pose significant challenges in achieving accurate ROP predictions. To address this challenge, multiple hybrid prediction models have been developed, and their accuracy in ROP prediction has been compared.

To accomplish this objective, we created three different hybrid models, including Artificial Neural Network – Genetic Algorithm (ANN-GA), Artificial Neural Network-Particle Swarm Optimization (ANN-PSO), and Support Vector Regression (SVR) to estimate ROP. These models were trained and tested …

62nd Annual Rocky Mountain Conference On Magnetic Resonance

Rocky Mountain Conference on Magnetic Resonance

Final program, abstracts, and information about the 62nd annual meeting of the Rocky Mountain Conference on Magnetic Resonance, co-endorsed by the Colorado Section of the American Chemical Society and the Society for Applied Spectroscopy. Held in Sonesta Denver Downtown, Denver, Colorado, July 23-27, 2023.

Multifunctional Graphene–Polymer Nanocomposite Sensors Formed By One-Step In Situ Shear Exfoliation Of Graphite, Ali Ashraf, Elizabeth Chang, Md Ashiqur Rahman, Dipannita Ghosh, Nazmul Islam, Jennifer K. Lynch-Branzoi

Mechanical Engineering Faculty Publications

Graphene nanocomposites are a promising class of advanced materials for sensing applications; yet, their commercialization is hindered due to impurity incorporation during fabrication and high costs. The aim of this work is to prepare graphene–polysulfone (G−PSU) and graphene–polyvinylidene fluoride (G−PVDF) nanocomposites that perform as multifunctional sensors and are formed using a one-step, in situ exfoliation process whereby graphite is exfoliated into graphene nanoflakes (GNFs) directly within the polymer. This low-cost method creates a nanocomposite while avoiding impurity exposure since the raw materials used in the in situ shear exfoliation process are graphite and polymers. The morphology, structure, thermal properties, and …

An Investigative Study On Quick Switching System Using Fuzzy And Neutrosophic Poisson Distribution, Uma G, Nandhitha S

Neutrosophic Systems with Applications

Stephens and Larson (1967) stated the sampling system as an allotted grouping of two or three sampling plans and the rules for switching between the plans for sentencing the lots of manufactured products. Quick Switching System (QSS) by Romboski (1969) is a sampling system with reference to the Single Sampling Plan (SSP) involves normal and tightened plans by adopting a switching rule. QSS provides quality protection and a reduction in the cost of inspection. The idea of fuzzy logic is adopted in the system to handle situations of fraction non-confirmation, uncertainty, or vagueness present in the parameters. The sampling plans …

Design Of Asic Based Electrical Impedance Tomography Microendoscopic System For Prostate Cancer Surgical Marginal Assessment, Mohsen Shahghasemi

Dartmouth College Ph.D Dissertations

Prostate cancer is the second most common cancer in the United States. It is typically treated by surgically excising the cancerous section of the prostate. Because there is not always a visible distinction between the healthy and cancerous sections, surgery often leaves some cancerous tissue behind. This is referred to as a positive surgical margin and it requires adjuvant treatment with adverse side effects. Electrical impedance tomography (EIT) is a low-cost low-form-factor method that can be used to assess surgical marginal intraoperatively to ensure that no cancerous tissue is left behind. EIT-based surgical margin assessment works on the principle that …

Emergent Bilinguals’ Participation In Multilingual Engineering Learning Ecologies, Alberto Esquinca, Maria Teresa De La Piedra, Lidia Herrera-Rocha

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

Students classified as English language learners (ELLs), many of whom are also Hispanic/Latine´/x, are at times excluded from opportunities to engage in engineering design experiences due to the emphasis on learning English. In dual language bilingual education, however, language policies that allow for the use and development of more than one language afford opportunities for ELLs that are not available in monolingual environments. We draw on a multilingual learning ecology theoretical framework to analyze data gathered from a two-year ethnographic study. During approximately 200 hours of field work, we gathered multiple forms of data through ethnographic methods, to include field …

Exploring Scenario-Based Assessment Of Students' Global Engineering Competency: Building Evidence Of Validity Of A China-Based Situational Judgment Test, Kirsten A. Davis, Brent Jesiek, David B. Knight

School of Engineering Education Faculty Publications

Background

Engineers operate in an increasingly global environment, making it important that engineering students develop global engineering competency to prepare them for success in the workplace. To understand this learning, we need assessment approaches that go beyond traditional self-report surveys. A previous study (Jesiek et al., Journal of Engineering Education 2020; 109(3):1–21) began this process by developing a situational judgment test (SJT) to assess global engineering competency based in the Chinese context and administering it to practicing engineers.

Purpose

We built on this previous study by administering the SJT to engineering students to explore what prior experiences related to their …

Scalable Production Of Peptides For Enhanced Struvite Formation Via Expression On The Surface Of Genetically Engineered Microbes, Jacob D. Hostert, Quincy A. Spitzer, Paola Giammattei, Julie N. Renner

Faculty Scholarship

A promising method for recycling phosphate from wastewater is through precipitation of struvite (MgNH4PO4·6H2O), a slow-release fertilizer. Peptides have been shown to increase the yield of struvite formation, but producing peptides via solid phase synthesis is cost prohibitive. This work investigates the effects of peptide-expressing bacteria on struvite precipitation to provide a sustainable and cost-efficient means to enhance struvite precipitation. A peptide known for increased struvite yield was expressed on a membrane protein in Escherichia coli(E. coli), and then 5 mL precipitation reactions were performed in 50 mL culture tubes for at least 15 min. The yield of struvite crystals …

Exfoliation And Spray Deposition Of Graphene Nanoplatelets In Ethyl Acetate And Acetone: Implications For Additive Manufacturing Of Low-Cost Electrodes And Heat Sinks, Muhammed Ramazan Oduncu, Zhifan Ke, Bingyuan Zhao, Zhongxia Shang, Robin Simpson, Haiyan Wang, Alexander Wei

Department of Chemistry Faculty Publications

Nonaqueous dispersions of graphene nanoplatelets (GrNPs) can be used to prepare thin films and coatings free of surfactants, but typically involve polar organic solvents with high boiling points and low exposure limits. Here, we describe the mechanochemical exfoliation and dispersion of GrNPs in volatile aprotic solvents such as ethyl acetate (EtOAc) and acetone, which rank favorably in green solvent selection guides. GrNPs in powder form were exfoliated with a solvent on a horizontal ball mill for 48 h and then sonicated at moderate power to produce suspensions in excess of 300 μg/mL with minimum loss of dispersion stability over 7 …

Designing Intelligent Energy Efficient Scheduling Algorithm To Support Massive Iot Communication In Lora Networks, Jui Mhatre

Master of Science in Computer Science Theses

We are about to enter a new world with sixth sense ability – “Network as a sensor -6G”. The driving force behind digital sensing abilities is IoT. Due to their capacity to work in high frequency, 6G devices have voracious energy demand. Hence there is a growing need to work on green solutions to support the underlying 6G network by making it more energy efficient. Low cost, low energy, and long-range communication capability make LoRa the most adopted and promising network for IoT devices. Since LoRaWAN uses ALOHA for multi-access of channels, collision management is an important task. Moreover, in …

Editorial: Intervertebral Disc Degeneration And Osteoarthritis: Mechanisms Of Disease And Functional Repair., Graciosa Q Teixeira, Jana Riegger, Raquel M Gonçalves, Makarand V. Risbud

Department of Orthopaedic Surgery Faculty Papers

No abstract provided.