Engineering Commons^™

Specialized Named Entity Recognition For Breast Cancer Subtyping, Griffith Scheyer Hawblitzel

Master's Theses

The amount of data and analysis being published and archived in the biomedical research community is more than can feasibly be sifted through manually, which limits the information an individual or small group can synthesize and integrate into their own research. This presents an opportunity for using automated methods, including Natural Language Processing (NLP), to extract important information from text on various topics. Named Entity Recognition (NER), is one way to automate knowledge extraction of raw text. NER is defined as the task of identifying named entities from text using labels such as people, dates, locations, diseases, and proteins. There …

Development Of A Dual-Band Radio Repeater To Be Carried By A Fixed-Wing Small Unmanned Aerial System, Carl Recine

Master's Theses

With the continued rise in wildfires in California, and around the world, technological advancements are needed to improve the safety and effectiveness of wildland firefighters. One area that provides an opportunity for such development is the deployment of temporary communications networks. Currently, radio repeaters are set up on mountain tops in the response area; such repeaters do not provide flexibility once installed, still have blind spots, and require the time of valuable assets like helicopters to install.

This thesis will establish the feasibility of airborne radio repeaters for wildland firefighting. In order to successfully demonstrate the feasibility of such an …

A Course On Advanced Real-Time Embedded Systems, Krista Round

Master's Theses

This thesis discusses the development of an advanced real-time embedded systems course offered at California Polytechnic State University, San Luis Obispo, which aims to prepare students to design modern complex real-time embedded systems. It describes the goals of the real-time embedded systems curriculum, which includes an introductory and advanced course. Finally, this paper discusses the challenges of creating a successful advanced real-time embedded systems course and proposes changes to the current advanced real-time embedded systems course in response to those challenges.

Bearing Fault Detection And Classification Using Artificial Neural Networks, Harnak Singh

Master's Theses

Bearings are the essential components of modern rotating machines. Bearing faults can cause severe machine damages or even breakdowns.

In recent years, artificial intelligence and deep learning have been successfully applied to fault detection. In this thesis, convolutional neural networks (CNN) are employed for bearing fault detection and classification. Computer simulations results demonstrate that the CNN based approach is advantageous over the conventional regression model, with an overall accuracy of 99.5%.

Structural Loads And Preliminary Structural Design For A World Speed Record-Breaking Turbo-Prop Racing Airplane, Matthew G. Slymen

Master's Theses

The Cal Poly SLO Turbo-Prop Racer project aims to design a world speed record-breaking aircraft, capable of flying more than 550 miles per hour on a 3-kilometer closed course. To further this endeavor, this thesis presents the calculations of load distributions across the aircraft’s wing and tail and preliminary structural estimates of primary structural components for verification of the loads calculations and for use in a future finite element model. The aircraft’s fundamental design characteristics effect on the structure of the aircraft, namely the unique Y-tail design, are first examined. Then, loads are calculated in accordance with the regulation dictated …

Model-Based Design Of An Optimal Lqg Regulator For A Piezoelectric Actuated Smart Structure Using A High-Precision Laser Interferometry Measurement System, Grant P. Gallagher

Master's Theses

Smart structure control systems commonly use piezoceramic sensors or accelerometers as vibration measurement devices. These measurement devices often produce noisy and/or low-precision signals, which makes it difficult to measure small-amplitude vibrations. Laser interferometry devices pose as an alternative high-precision position measurement method, capable of nanometer-scale resolution. The aim of this research is to utilize a model-based design approach to develop and implement a real-time Linear Quadratic Gaussian (LQG) regulator for a piezoelectric actuated smart structure using a high-precision laser interferometry measurement system to suppress the excitation of vibratory modes.

The analytical model of the smart structure is derived using the …

Design, Fabrication, And Testing Of Mechanical Hinges With Snap-Fit Locking Mechanisms In Rigid Origami Structures, Colby James Scanlon

Master's Theses

The ancient art of ‘origami’ has recently become the source of inspiration for engineers to create structures that can unfold from a compact state to a fully deployed one. For instance, researchers have currently adopted origami designs in various engineering disciplines, including aerospace engineering, robotics, biomedical engineering, and architecture. In particular, architects have been interested in designing origami-inspired rigid walled structures that can be deployed as disaster-relief shelters. This type of design has three main advantages: transportability, constructability, and rigidity. Although there has been increased interests in deployable structures, limited research has been conducted on evaluating their structural performance, specifically …

Simulating Electric Vehicle Short-Notice Wildfire Evacuation In California Rural Communities, Gudrun Derickson

Master's Theses

The transportation sector in California has begun a shift toward adopting Electric Vehicles (EVs) as a primary source of individual and corporate mobility. The US Government and the State of California are initiating public-sector financed charging station infrastructure to help in this change-over to EVs. Automobile companies and private enterprises are also heavily investing in Battery Electric Vehicle (BEV) infrastructure going forward. The state of California is subject to natural disasters such as Fire, Earthquakes, and periodic flooding. Increasing numbers of BEVs may add new challenges to mass evacuations that are often associated with natural disasters. This work focuses on …

Development Of A Body Weight Reduction Algorithm In Micro-Gravity Treadmills™, Alexander Hibbert

Master's Theses

Boost Treadmills™, a company specializing in the use of differential air-pressure (DAP) technology in the realm of exercise and rehabilitation, is developing their second-generation micro-gravity treadmill™ named the Boost 2. This machine will allow individuals in all types of fitness environments to move and exercise at a fraction of their normal body weight, reducing the impact forces on lower body extremities and allowing for accelerated returns to activity.

The purpose of this thesis was to create an algorithm to be implemented on the Boost 2 that related the percentage of body weight reduction of a user to a required pressure …

Strainer: State Transcript Rating For Informed News Entity Retrieval, Thomas M. Gerrity

Master's Theses

Over the past two decades there has been a rapid decline in public oversight of state and local governments. From 2003 to 2014, the number of journalists assigned to cover the proceedings in state houses has declined by more than 30\%. During the same time period, non-profit projects such as Digital Democracy sought to collect and store legislative bill and hearing information on behalf of the public. More recently, AI4Reporters, an offshoot of Digital Democracy, seeks to actively summarize interesting legislative data.

This thesis presents STRAINER, a parallel project with AI4Reporters, as an active data retrieval and filtering system for …

Evaluating And Improving Domain-Specific Programming Education: A Case Study With Cal Poly Chemistry Courses, Will Fuchs

Master's Theses

Programming is a key skill in many domains outside computer science. When used judiciously, programming can empower people to accomplish what might be impossible or difficult with traditional methods. Unfortunately, students, especially non-CS majors, frequently have trouble while learning to program. This work reports on the challenges and opportunities faced by Physical Chemistry (PChem) students at Cal Poly, SLO as they learn to program in MATLAB. We assessed the PChem students through a multiple-choice concept inventory, as well as through “think-aloud” interviews. Additionally, we examined the students’ perceptions of and attitudes towards programming. We found that PChem students are adept …

Aldi++: Automatic And Parameter-Less Discord And Outlier Detection For Building Energy Load Profiles, Matias Quintana, Till Stoeckmann, Young June Park, Marian Turowski, Veit Hagenmeyer, Clayton Miller

Research Collection College of Integrative Studies

Data-driven building energy prediction is an integral part of the process for measurement and verification, building benchmarking, and building-to-grid interaction. The ASHRAE Great Energy Predictor III (GEPIII) machine learning competition used an extensive meter data set to crowdsource the most accurate machine learning workflow for whole building energy prediction. A significant component of the winning solutions was the pre-processing phase to remove anomalous training data. Contemporary pre-processing methods focus on filtering statistical threshold values or deep learning methods requiring training data and multiple hyper-parameters. A recent method named ALDI (Automated Load profile Discord Identification) managed to identify these discords using …

Targeting Occupant Feedback Using Digital Twins: Adaptive Spatial-Temporal Thermal Preference Sampling To Optimize Personal Comfort Models, Mahmoud M. Abdelrahman, Clayton Miller

Research Collection College of Integrative Studies

Collecting intensive longitudinal thermal preference data from building occupants is emerging as an innovative means of characterizing the performance of buildings and the people who use them. These techniques have occupants giving subjective feedback using smartphones or smartwatches frequently over the course of days or weeks. The intention is that the data will be collected with high spatial and temporal diversity to best characterize a building and the occupant’s preferences. But in reality, leaving the occupant to respond in an ad-hoc or fixed interval way creates unneeded survey fatigue and redundant data. This paper outlines a scenario-based (virtual experiment) method …

Static Testing Of Hybrid Rocket Engine Using Biomass Waste, Saleh Mohammed Musaed Badi

Theses

This work investigates experimentally for the first time the performance of two solid biomass wastes as propellants for a Hybrid Rocket Motor based on the combustion and propulsion parameters such as combustion chamber pressure, thrust force, chamber temperature, combustion characteristics, and flame length generated. The main objective of this study is to examine the performance of the proposed biomass fuels (Date stone powder and Jojoba waste powder) in comparison with typical hydrocarbon fuels. To make an accurate comparison, Paraffin Wax-based propellant was used in this study as a reference fuel to compare with biomass performance using the same testing facility …

Hepatic Artery Flow, Inspired Oxygen, And Hemoglobin Determine Liver Tissue Saturation Measured With Visible Diffuse Reflectance Spectroscopy (Vis-Drs) In An In Vivo Swine Model, Stylianos Voulgarelis, Faraneh Fathi, Bing Yu, Barbara Palkovic, Nikolaos A. Chatzizacharias, Kenneth P. Allen, Astrid G. Stucke

Biomedical Engineering Faculty Research and Publications

Background

Prompt diagnosis of vascular compromise following pediatric liver transplantation and restoration of oxygen delivery to the liver improves organ survival. vis-DRS allows for real-time measurement of liver tissue saturation.

Methods

The current study used vis-DRS to determine changes in liver saturation during clinically relevant conditions of reduced oxygen delivery. In an in vivo swine model (n = 15), we determined liver tissue saturation (S_tO₂) during stepwise reduction in hepatic artery flow, different inspiratory oxygen fraction (FiO₂), and increasing hemodilution. A custom vis-DRS probe was placed directly on the organ.

Results

Liver tissue …

Modeling And Simulating Brain Damage From Football Helmet Impacts, Tate Russell Fonville

Doctoral Dissertations and Projects

The objective of this research was to present a model for brain damage to investigate the head’s response to mechanical loadings. A Finite Element (FE) head and brain mesh used throughout this dissertation was constructed from Magnetic Resonance Imaging (MRI) scan data of one of the authors and validated in previous research. A computational modal analysis was first conducted on the whole head and an isolated brain to identify the resonant frequencies, mode shapes, and locations. A physics-based Internal State Variable (ISV) constitutive model for polymers was modified to include damage in the form of pore growth. The brain damage …

Physical Plugging Of Lost Circulation Fractures At Microscopic Level, Chengyuan Xu, Honglin Zhang, Yili Kang, Jingyi Zhang, Yingrui Bai, Juan Zhang, Zhenjiang You

Research outputs 2022 to 2026

Drilling fluid loss into formation fractures is one of the most common and costly problems encountered during the exploration and development of oil and gas resources. At present, the most extensive solution is to use physical lost circulation materials (LCMs) to form high-strength plugging zone in fractures. However, it is still unclear how the plugging is initiated and formed in the fracture. In this paper, a microscopic visualization experimental device for the formation of plugging zone is used to observe the dynamic plugging performance of spherical materials, flaky materials and fibers in fracture. Experimental results show that the formation of …

Functional Carbon Nitride Materials In Photo-Fenton-Like Catalysis For Environmental Remediation, Jingkai Lin, Wenjie Tian, Zheyu Guan, Huayang Zhang, Xiaoguang Duan, Hao Wang, Hongqi Sun, Yanfen Fang, Yingping Huang, Shaobin Wang

Research outputs 2022 to 2026

Among various advanced oxidation processes, coupled photocatalysis and heterogeneous Fenton-like catalysis (known as photo-Fenton-like catalysis) to generate highly reactive species for environmental remediation has attracted wide interests. As an emerging metal-free photocatalyst, graphitic carbon nitride (g-C3N4, CN) has been recently recognized as a promising candidate to catalyze robustly heterogeneous photo-Fenton-like reactions for wastewater remediation. This review summarizes recent progress in fabricating various types of CN-based catalysts for the photo-Fenton-like reaction process. Innovative engineering strategies on the CN matrix are outlined, ranging from morphology control, defect engineering, nonmetal atom doping, organic molecule doping to modification by metal-containing species. The photo-Fenton-like catalytic …

Monitoring Of Renewable Energy Systems By Iot-Aided Scada System, Ohirul Qays, Musse M. Ahmed, M. A. Parvez Mahmud, Ahmed Abu-Siada, S. M. Muyeen, Liton Hossain, Farhana Yasmin, Momtazur Rahman

Research outputs 2022 to 2026

With the rapid increase of renewable energy generation worldwide, real-time information has become essential to manage such assets, especially for systems installed offshore and in remote areas. To date, there is no cost-effective condition monitoring technique that can assess the state of renewable energy sources in real-time and provide suitable asset management decisions to optimize the utilization of such valuable assets and avoid any full or partial blackout due to unexpected faults. Based on the Internet of Things scheme, this paper represents a new application for the Supervisory Control and Data Acquisition (SCADA) system to monitor a hybrid system comprising …

Effect Of Biochar On Desiccation Of Marine Soils Under Constant And Cyclic Temperatures, Thellen Kumar Puspanathan, Vihan Shenal Jayawardane, Suvash Chandra Paul, Kong Sih Ying, Sanjay Kumar Shukla, Vivi Anggraini

Research outputs 2022 to 2026

Biochar has recently been gaining increasing attention as a stable and sustainable soil amendment material. However, the effect of biochar amendment on the desiccation behaviour of coastal soils has not yet been examined. Consequently, the present study primarily investigated the effect of exposing biochar-amended marine soil (BAS) to constant and cyclic temperatures on its swell–shrink, evaporation and desiccation cracking characteristics. Biochar contents of 1%, 2%, 4% and particle size ranges of PS-1 (600 μm < D ≤ 2000 μm), PS-2 (300 μm < D ≤ 600 μm), PS-3 (D ≤ 75 μm) (D: biochar particle diameter) were employed. It was revealed that the absolute volumetric shrinkage of both unamended and biochar-amended specimens increased as the number of thermal cycles increased. Under continuous heat exposure, 4% (PS-3) BAS in compacted state achieved the maximum reduction in volumetric shrinkage which was 42%. Moreover, under continuous heat exposure, 2% (PS-1) BAS in slurry state achieved the highest reduction in desiccation cracking, which was 73%. The present study highlights the importance of identifying the most effective combination of biochar content and particle size required to achieve a desired outcome, in order to gain the maximum benefit of biochar as an amendment material at the lowest possible cost.

One Factor At A Time Analysis To Modify Potting Technique For Manufacturing Of Bubble-Free High-Voltage Polyester Insulated Automotive Coils, Ahmad Nawaz, Ishaq Ahmad, Waseem Akram, Bilal Islam, Danil Yurievich Pimenov, Khaled Giasin, Muhammad Aamir

Research outputs 2022 to 2026

The current study focuses on minimising the bubbles in polyester-insulated ignition coils, which were produced with a defect level of ~21–25% or 210–250 coils per 1000 batch size by using the potting method. This high-level rejection makes a substantial financial impact by increasing waste material, manufacturing, and after-sales costs. Hence, to control the bubbled problem without using expensive and maintenance-heavy techniques, the process parameters in the potting method were alternated and investigated using one factor at a time, which played a vital role in the formation/ reduction of bubbles in the ignition coil insulation. Process parameters, including pre/process heating, the …

Effects Of Wettability, Lithology, And Permeability On The Optimum Slug Size Of Low Salinity Water Flooding In Carbonates: An Experimental Approach, Hala Khaled Hasan Alshadafan

Theses

Low salinity water flooding has attracted academic and industry communities due to its relatively simple and applicable technology. One of the drawbacks of applying the IOR/EOR technique is the lack of the availability of low salinity water in large quantities at the reasonable cost required for a technically and environmentally successful project. To overcome this problem, the industry proposed to use produced water/sea water after dilution, and reverse osmosis filter technology to achieve the required salinity. Both techniques are quite costly and might hinder the project's economic success. Low salinity water as slug size followed by high salinity water was …

Human Detection From Aerial Imagery For Search And Rescue Operations, Namat Ahmad Bachir

Theses

Mountain recreation is becoming more popular with mountaineering, rock climbing, skiing, mountain biking, hiking, and mushroom picking among the most popular sports. Despite this tendency, there is currently limited research available explaining the rise in search and rescue (SAR), as well as the injuries and illnesses that entail SAR aid in tourist-friendly mountain and desert areas. The objective of a search and rescue operation is to scan the farthest area feasible in the shortest amount of time in order to locate a lost or wounded individual. In the past decade, several new and spectacular uses for drones, including search and …

Freed: An Efficient Privacy-Preserving Solution For Person Re-Identification, Bowen Zhao, Yingjiu Li, Ximeng Liu, Hwee Hwa Pang, Robert H. Deng

Research Collection School Of Computing and Information Systems

Person Re-IDentification (Re-ID) is a critical technology to identify a target person from captured person images by surveillance cameras. However, person Re-ID has triggered great concerns of personal image privacy. Although the law (e.g., GDPR) has stipulated person images are personal private data, there is no an efficient solution to tackle the image privacy concern for person Re-ID. To this end, we propose FREED, the first system solution for privacy-preserving person Re-ID, which supports the state-of-the-art person Re-ID operations on encrypted feature vectors of person images. To handle the encryption of feature vectors effectively and enable person Re-ID operations on …

Using Metal-Organic Frameworks (Mof) To Reduce The Carbon Footprint Of Concrete, Mona Ibrahim El-Hallak

Theses

The production of concrete by the construction industry has a massive impact on the environment. The process of manufacturing its main component, cement, releases a considerable amount of anthropogenic carbon dioxide. This thesis is concerned with the production of sustainable and eco-friendly concrete that integrates metal-organic frameworks (MOF) to capture and offset the CO₂ emissions emitted during the production of cement. The main objective is to synthesize a MOF capable of capturing CO₂ in concrete through accelerated carbonation curing and to assess its impact on concrete performance. Different parameters were examined, including the MOF content, initial curing duration, …

Evaluation Of Polymer Binder Technisoil G5® In Concrete Mixture, Shadi Saadeh, Pritam Katawal

Mineta Transportation Institute

Plastic is everywhere, and with its increasing use in so many everyday materials, the production and demand of plastic has skyrocketed. Unfortunately, this has resulted in the accumulation of a mammoth amount of plastic waste and adverse effects on the environment. To optimize the huge amount of materials required by the pavement industry each year and reuse recycled plastics, the use of reclaimed asphalt pavement (RAP) has been common practice. This research studied the use of a binder completely made from recycled waste plastic named Technisoil G5® and compared it with performance grade PG 70-22 mix containing virgin aggregates and …

Covid-19 Public Transportation Air Circulation And Virus Mitigation Study, Aly Tawfik, Deify Law, Juris Grasis, Joseph Oldham, Moe Salem

Mineta Transportation Institute

COVID-19 may have forever changed our world. Given the limited space and air circulation, potential infections on public transportation could be concerningly high. Accordingly, this study has two objectives: (1) to understand air circulation patterns inside the cabins of buses; and (2) to test the impact of different technologies in mitigating viruses from the air and on surfaces inside bus cabins. For the first objective, different devices, metrics and experiments (including colored smoke; videotaping; anemometers; pressure differentials; particle counts; and 3D numerical simulation models) were utilized and implemented to understand and quantify air circulation inside different buses, with different characteristics, …

Influence Of Level 1 And Level 2 Automated Vehicles On Fatal Crashes And Fatal Crash Occurrence, Hardik Gajera, Srinivas S. Pulugurtha, Sonu Mathew

Mineta Transportation Institute

Connected and automated vehicles (CAVs) are expected to improve safety by gradually reducing human decisions while driving. However, there are still questions on their effectiveness as we transition from almost 0% CAVs to 100% CAVs with different levels of vehicle autonomy. This research focuses on synthesizing literature and identifying risk factors influencing fatal crashes involving level 1 and level 2 CAVs in the United States. Fatal crashes involving level 0 vehicles—ones that are not connected and automated—were compared to minimize unobserved heterogeneity and randomness associated with the influencing risk factors. The research team used the fatal crash data for the …

Impact Of Dedicated Bus Lanes On Intersection Operations And Travel Time Model Development, Stephen Arhin, Babin Manandhar, Kevin Obike, Melissa Anderson

Mineta Transportation Institute

Over the years, public transit agencies have been trying to improve their operations by continuously evaluating best practices to better serve patrons. Washington Metropolitan Area Transit Authority (WMATA) oversees the transit bus operations in the Washington Metropolitan Area (District of Columbia, some parts of Maryland and Virginia). One practice attempted by WMATA to improve bus travel time and transit reliability has been the implementation of designated bus lanes (DBLs). The District Department of Transportation (DDOT) implemented a bus priority program on selected corridors in the District of Columbia leading to the installation of red-painted DBLs on corridors of H Street, …

One-Stage Blind Source Separation Via A Sparse Autoencoder Framework, Jason Anthony Dabin

Dissertations

Blind source separation (BSS) is the process of recovering individual source transmissions from a received mixture of co-channel signals without a priori knowledge of the channel mixing matrix or transmitted source signals. The received co-channel composite signal is considered to be captured across an antenna array or sensor network and is assumed to contain sparse transmissions, as users are active and inactive aperiodically over time. An unsupervised machine learning approach using an artificial feedforward neural network sparse autoencoder with one hidden layer is formulated for blindly recovering the channel matrix and source activity of co-channel transmissions. The BSS sparse autoencoder …