Engineering Commons^™

The Effect Of Weak Confinement On The Orientation Of Nanorods Under Shear Flows, Saman Monjezi, James D. Jones, Alyssa K. Nelson, Joontaek Park

Chemical and Biochemical Engineering Faculty Research & Creative Works

We performed a numerical analysis to study the orientation distribution of a dilute suspension of thin, rigid, rod-like nanoparticles under shearing flow near a solid boundary of weak confinement. Brownian dynamics simulation of a rod was performed under various ratios of shear rate and rod diffusivity (Peclet number), as well as the center-of-mass position (wall confinement). We discuss the effects of Peclet number and wall confinement on the angle distributions, Jeffery orbit distribution and average orientation moments. The average orientation moments, obtained as a function of Peclet number and wall confinement, can be used to improve a previous shear-induced migration …

System, Devices And Methods For Molecular Separation, Sankar Nair, Christopher W. Jones, Fereshteh Rashidi, Ali A. Rownaghi

Chemical and Biochemical Engineering Faculty Research & Creative Works

Systems, devices and methods for molecular separation including a molecular separation device comprising at least a polycrystalline metal-organic framework (MOF) and a nanocrystalline, zeolite MFI, wherein the MOF forms a polycrystalline membrane with zeolite MFI nanoparticles dispersed therein, and the MOF membrane matrix contacting and surrounding the zeolite MFI nanoparticles form a permselective nanoporous structure.

Rupture Of A Cryogenic Composite Overwrapped Pressure Vessel Following A High-Speed Particle Impact, William P. Schonberg

Civil, Architectural and Environmental Engineering Faculty Research & Creative Works

A primary spacecraft design consideration is the anticipation and mitigation of the possible damage that might occur in the event of an on-orbit micro-meteoroid or orbital debris (MMOD) particle impact. While considerable effort has been expended in the study of non-pressurized spacecraft components under room temperature conditions to MMOD impacts, technical and safety challenges have limited the number of tests that have been conducted on pressurized elements of such spacecraft, especially under cryogenic conditions. This paper presents the development of a data-driven equation for composite material pressure vessels under cryogenic operating conditions that differentiate between impact conditions that, given a …

Applications Of Virtual Reality In Construction, Erick Baeza

Construction Management

Virtual reality, a technology that has just been recently introduced to the construction industry, has gained popularity for its many practicalities which include but not limited to; cost savings, time savings and detections of design errors. This case study summarizes the applications and benefits that virtual reality brings to the industry, in particular to Lendlease’s Oceanwide Plaza project located in Downtown Los Angeles alongside drywall subcontractor, Martin Bros. The information for this case study was gathered through means of a phone call interview with Martin Bros’ foreman, Gilbert Benavidez and face-to-face interviews with Lendlease’s field superintendent Wade Nevitt and assistant …

Industry Perspectives On The 40-Hour Work Week As It Relates To Overtime In The Pacific Northwest, John S. Korsmo Iii

Construction Management

The construction industry has a stigma for construction projects often being behind schedule, delayed, or delivered late. Many projects that find themselves in this predicament will utilize overtime to make up for the loss in schedule. However, a number of published studies shows evidence that extended overtime produces a decrease in labor productivity. Does the structure of the 40-hour work week have an affect on this loss of production with overtime? This paper will examine the structure of the 40-hour work week with an emphasis on a 4-day, 10-hour day schedule as well as overtime productivity. This study explores the …

Student-Assistants In Cal Poly, Facilities Planning And Capital Projects, Nicholas Adam Long

Construction Management

The Cal Poly, Facilities Planning and Capital Projects Department has been an under utilized resource for students who desire the opportunity to work in the field while attending school. This internship-like opportunity would give the student an opportunity to step into the shoes as an owner’s representative. With over sixty separate construction projects consistently occurring around campus, students should be given the opportunity to work under supervision of a Cal Poly Project Manager as a student-assistant. Through multiple interviews with the Cal Poly, Facilities Planning and Capital Project Department Project Managers, it was agreed that there was a need to …

A Case Study On The Use Of Bluebeam On Commercial Construction Projects, Victor Michael Beglitsoff

Construction Management

No matter the size, every construction project has their own unique characteristics and logistics that come with it. But one thing is certain, every project has a specific set of construction documents that include; contracts, drawings, specifications and other important information. To guarantee the overall success of the project, companies must find ways to be the most effective and efficient to reach their specific goals. Using a technological software such as Bluebeam allows companies to excel in what they do best. Using Bluebeam as their primary PDF viewer on construction projects allows them to approach their project with a positive …

Deep Learning Nuclei Detection In Digitized Histology Images By Superpixels, Sudhir Sornapudi, R. Joe Stanley, William V. Stoecker, Haidar Almubarak, Rodney Long, Sameer Antani, George Thoma, Rosemary Zuna, Shelliane R. Frazier

Electrical and Computer Engineering Faculty Research & Creative Works

Background: Advances in image analysis and computational techniques have facilitated automatic detection of critical features in histopathology images. Detection of nuclei is critical for squamous epithelium cervical intraepithelial neoplasia (CIN) classification into normal, CIN1, CIN2, and CIN3 grades.

Methods: In this study, a deep learning (DL)-based nuclei segmentation approach is investigated based on gathering localized information through the generation of superpixels using a simple linear iterative clustering algorithm and training with a convolutional neural network.

Results: The proposed approach was evaluated on a dataset of 133 digitized histology images and achieved an overall nuclei detection (object-based) accuracy of 95.97%, with …

Modeling Of Aggregation And Gelation Of Nanoparticles Using Quadrature Method Of Moments, Elsayed Abdelfatah, Maysam Pournik

Mechanical Engineering Faculty Publications

Applications of Nanotechnology are growing significantly in the petroleum industry such as oil recovery, and well stimulation. In aqueous media, silica nanoparticles aggregate if there is sufficient attractive energy between nanoparticles. Aggregate size distribution evolves as aggregation continues, and once it spans the space, it forms a gel. The objective of this study is to study the aggregation and gelation kinetics in the batch. Population Balance equation (PBE) is used to model the kinetics of aggregation. Quadrature method of moments (QMOM) is used to convert the PBE with continuous distribution of nanoparticle size into a set of moment equations for …

Standalone Wireless Humming Music Synthesizer (Humsynth), Anna Shabrova, Chad Carlson

Electrical Engineering

The HumSynth is a voice controlled music synthesizer. Unlike the commonly found voice modulators on the market, this product uses a vocal input in place of the traditional keyboard interface. This allows the instrument to serve as an intuitive learning tool for those not proficient in music theory. By using their voice, the consumer is able to get a feel for different scales and keys additionally bypassing the physical learning curve of learning a traditional instrument. By the date of submission this project performs basic functions in recreating the pitch input but does not meet the full specs. The enclosure …

People Like Me: Providing Relatable And Realistic Role Models For Underrepresented Minorities In Stem To Increase Their Motivation And Likelihood Of Success, Nir Aish, Philip Asare, Elif Eda Miskioglu

Faculty Conference Papers and Presentations

Despite efforts to increase participation of racial and ethnic minorities (excluding Asians) in science, technology, engineering and mathematics (STEM) in the United States, this group remains underrepresented in these fields. Many efforts to increase minority participation focus on support structures to help this group “get through” the pipeline. However, less attention has been paid to increasing their intrinsic motivation to pursue careers in STEM. Our work is focused on increasing this intrinsic motivation, looking at role models as external influences. Underrepresented minorities are faced with a limited role model pool and in many cases with role models (who we call …

Fixation And Confusion: Investigating Eye-Tracking Participants' Exposure To Information In Personas, Joni Salminen, Bernard J. Jansen, Jisun An, Soon-Gyo Jung, Lene Nielsen, Haewoon Kwak

Research Collection School Of Computing and Information Systems

To more effectively convey relevant information to end users of persona profiles, we conducted a user study consisting of 29 participants engaging with three persona layout treatments. We were interested in confusion engendered by the treatments on the participants, and conducted a within-subjects study in the actual work environment, using eye-tracking and talk-aloud data collection. We coded the verbal data into classes of informativeness and confusion and correlated it with fixations and durations on the Areas of Interests recorded by the eye-tracking device. We used various analysis techniques, including Mann-Whitney, regression, and Levenshtein distance, to investigate how confused users differed …

A New Revocable And Re-Delegable Proxy Signature And Its Application, Shengmin Xu, Guomin Yang, Yi Mu

Research Collection School Of Computing and Information Systems

With the popularity of cloud computing and mobile Apps, on-demand services such as on-line music or audio streaming and vehicle booking are widely available nowadays. In order to allow efficient delivery and management of the services, for large-scale on-demand systems, there is usually a hierarchy where the service provider can delegate its service to a top-tier (e.g., countrywide) proxy who can then further delegate the service to lower level (e.g., region-wide) proxies. Secure (re-)delegation and revocation are among the most crucial factors for such systems. In this paper, we investigate the practical solutions for achieving re-delegation and revocation utilizing proxy …

Constant-Size Ciphertexts In Threshold Attribute-Based Encryption Without Dummy Attributes, Willy Susilo, Guomin Yang, Fuchun Guo, Qiong Huang

Research Collection School Of Computing and Information Systems

Attribute-based encryption (ABE) is an augmentation of public key encryption that allows users to encrypt and decrypt messages based on users' attributes. In a (t, s) threshold ABE, users who can decrypt a ciphertext must hold at least t attributes among the s attributes specified by the encryptor. At PKC 2010, Herranz, Laguillaumie and Raft& proposed the first threshold ABE with constant-size ciphertexts. In order to ensure the encryptor can flexibly select the attribute set and a threshold value, they use dummy attributes to satisfy the decryption requirement. The advantage of their scheme is that any addition or removal of …

Scaling Human Activity Recognition Via Deep Learning-Based Domain Adaptation, Md Abdullah Hafiz Khan, Nirmalya Roy, Archan Misra

Research Collection School Of Computing and Information Systems

We investigate the problem of making human activityrecognition (AR) scalable–i.e., allowing AR classifiers trainedin one context to be readily adapted to a different contextualdomain. This is important because AR technologies can achievehigh accuracy if the classifiers are trained for a specific individualor device, but show significant degradation when the sameclassifier is applied context–e.g., to a different device located ata different on-body position. To allow such adaptation withoutrequiring the onerous step of collecting large volumes of labeledtraining data in the target domain, we proposed a transductivetransfer learning model that is specifically tuned to the propertiesof convolutional neural networks (CNNs). Our model, …

Optimization Of A New Array Noise Tool; Analysis & Interpretation Of Case Studies Of Down- Hole Leak Detection, Moustafa Mahmoud Hassan Ismail

Theses

This thesis is concerned with the optimization and analysis of new array noise tools. Various lab and field case studies are analyzed to test the capabilities and determine the optimum operating conditions of the new tool for leak detection purposes. The purpose of this study is to optimize the logging procedure of real-time array noise tool, selecting adequate gain parameters and frequency band in the processing phase, and to analyze the data acquired through multiple labs and field tests. The study methodology involved the following steps:

1. Performing lab and field tests for the tool in a range of different …

Performance Control Of A Spray Passive Down-Draft Evaporative Cooling System, Daeho Kang, Richard K. Strand

Publications and Research

A spray passive down-draft evaporative cooling system has been regarded as a low-energy cooling system that leads significant energy savings in the cooling of buildings. While the energy saving capability of the system has been proven, the ability to control a comfortable indoor environment is still inadequate due to strong climatic dependency. This study seeks viable solutions to advance the control competence of the system by mitigating critical problems of the system to be a reliable cooling application in the cooling of buildings. It proposes potential control strategies for the system and alternative operations. It develops a control algorithm for …

Occupational Noise Dose Reduction Via Behavior Modification Using In-Ear Dosimetry Among Usaf Personnel Exposed To Continuous Impulse Noise, Jesse A. Trawick

Theses and Dissertations

The purpose of this research was to investigate the use of in-ear noise dosimetry and worker feedback to reduce noise exposures among combat arms instructors and heavy equipment operators in the Air Force. Specifically, this thesis sought to determine how effectively hearing protection devices (HPDs) are being utilized currently, and whether providing at-ear noise exposure data to workers results in reduced noise exposures or changes in worker attitude. These questions were addressed by performing a six-month field study using dosimeters to record worker noise exposures under HPDs. Subjects served as their own control, receiving feedback in only the latter half …

Evolutionary Learning Of Boosted Features For Visual Inspection Automation, Meng Zhang

Theses and Dissertations

Feature extraction is one of the major challenges in object recognition. Features that are extracted from one type of objects cannot always be used directly for a different type of objects, therefore limiting the performance of feature extraction. Having an automatic feature learning algorithm could be a big advantage for an object recognition algorithm. This research first introduces several improvements on a fully automatic feature construction method called Evolution COnstructed Feature (ECO-Feature). These improvements are developed to construct more robust features and make the training process more efficient than the original version. The main weakness of the original ECO-Feature algorithm …

Towards Tools For Achieving Third-Party Ip Assurance, Sean Talbot Jensen

Theses and Dissertations

Intellectual Property (IP) is used to speed up the design process and save money. The use of IP and complex CAD tools reduce visibility into the design and what is actually happening during synthesis and implementation. All of the complexity makes it easier for an attacker to insert malicious logic or tamper with the design in ways that are difficult to detect. Not very much work has been done towards the creation of tools to facilitate the safe use of 3rd-party IP. This work presents Physical and Functional Assurance, two approaches that aim to accomplish this task through physically and …

Toward A Production Ready Fbj Process For Joining Dissimilar Combinations Of Gadp 1180 Steel And Aa 7085-T76, Kevin Alexander Shirley

Theses and Dissertations

Friction Bit Joining (FBJ) is a new technology that can be used to join dissimilar materials together. This ability makes it a good candidate for creating light weight structures for the automotive industry by combining lightweight materials such as aluminum to stronger materials like advanced high-strength steels. The automotive industry and many other industries have great interest in reducing structure weight to increase fuel efficiency. The purpose of this research is to make FBJ of GADP 1180 to AA 7085-T76 a production ready process by (1) better understanding the effects of process parameters, bit design and tool design on joint …

Water Main Break Rates In The Usa And Canada: A Comprehensive Study, Steven Folkman

Mechanical and Aerospace Engineering Faculty Publications

The economic prosperity of modern cities is based on a complex infrastructure network located both above and below ground. A critical component to public health and economic well-being is our drinking water which is brought to the tap through an elaborate network of underground pipe distribution systems. Since most of this infrastructure is underground, it is out of sight and often neglected. Empirical data on water main breaks helps utilities in their repair and replacement decision making processes in order to deliver clean drinking water to their customers at an affordable price. This report documents the survey results of water …

Les Taux De Rupture De Conduites D’Eau Aux États-Unis Et Au Canada : Une Étude Complète, Steven Folkman

Mechanical and Aerospace Engineering Faculty Publications

La prospérité économique des villes modernes est basée sur un réseau d’infrastructures complexe à la fois en surface et sous la terre. Un élément essentiel pour la santé publique et le bien-être économique est notre eau potable, qui est acheminée jusqu’à notre robinet à travers un réseau complexe de conduites de distribution d’eau souterraines. Étant donné que la plus grande partie de cette infrastructure se trouve sous terre, elle est hors de vue et souvent négligée. Disposer de données empiriques sur des ruptures de conduites d’eau aide les services publics avec leurs processus de prises de décision quant aux réparations …

Poster: Institutional Barriers To Black And Latino Male Collegians' Success In Engineering And Related Stem Fields, Leroy L. Long Iii, Trevion S. Henderson

Publications

Diverse people and perspectives are needed to spur innovation and tackle societal problems. A wealth of untapped intellectual and economic potential exists among historically underrepresented racial/ethnic groups –including Blacks and Latinos–who have not had equitable access to engineering and related STEM fields. For Blacks and Latinos who are accepted into engineering and related STEM fields, they face a number of barriers to their success which lead to low retention and graduation rates. In historically male-dominated fields such as engineering and related STEM disciplines, Black and Latino men have remained underrepresented at the student and faculty ranks. To uncover and tackle …

Corrosion Behavior Of Plasma Nitrided And Nitrocarburised Supermartensitic Stainless Steel, Frederico Augusto Pires Fernandes, Carlos Alberto Picone, George Totten, Luiz Carlos Casteletti

Mechanical and Materials Engineering Faculty Publications and Presentations

Supermartensitic stainles steels (SMSS's) are a new generation of martensitic steels that have been increasingly used in oil and gas applications due to their adequate corrosion resistance and mechanical properties. In the present study, SMSS specimens (UNS S41425) were solution heat treated and air cooled followed by plasma nitriding and nitrocarburising at 400, 450 and 500°C for 5h. The produced layers were characterized by optical microscopy, microhardness testing, X-ray diffraction and corrosion testing in NaCl 3.5% solution. Surface alloying with nitrogen or both nitrogen and carbon results in increased surface hardness and homogeneous layers in which layer thickness increases with …

An Efficient Coal Pyrolysis Model For Detailed Tar Species Vaporization, Jianqing Li, Simcha L. Singer

Mechanical Engineering Faculty Research and Publications

An accurate and computationally efficient model for the vaporization of many tar species during coal particle pyrolysis has been developed. Like previous models, the molecular fragments generated by thermal decomposition are partitioned into liquid metaplast, which remains in the particle, and vapor, which escapes as tar, using a vapor-liquid equilibrium(VLE) sub-model. Multicomponent VLE is formulated as a rate-based process, which results in an ordinary differential equation (ODE) for every species. To reduce the computational expense of solving many ODEs, the model treats tar and metaplast species as a continuous distribution of molecular weight. To improve upon the accuracy of …

Predicting The Vote Using Legislative Speech, Aditya Budhwar

Master's Theses

As most dedicated observers of voting bodies like the U.S. Supreme Court can attest, it is possible to guess vote outcomes based on statements made during deliberations or questioning by the voting members. In most forms of representative democracy, citizens can actively petition or lobby their representatives, and that often means understanding their intentions to vote for or against an issue of interest. In some U.S. state legislators, professional lobby groups and dedicated press members are highly informed and engaged, but the process is basically closed to ordinary citizens because they do not have enough background and familiarity with the …

Applying Neural Networks For Tire Pressure Monitoring Systems, Alex Kost

Master's Theses

A proof-of-concept indirect tire-pressure monitoring system is developed using neural net- works to identify the tire pressure of a vehicle tire. A quarter-car model was developed with Matlab and Simulink to generate simulated accelerometer output data. Simulation data are used to train and evaluate a recurrent neural network with long short-term memory blocks (RNN-LSTM) and a convolutional neural network (CNN) developed in Python with Tensorflow. Bayesian Optimization via SigOpt was used to optimize training and model parameters. The predictive accuracy and training speed of the two models with various parameters are compared. Finally, future work and improvements are discussed.

Manufacture Of Complex Geometry Component For Advanced Material Stiffness, David Russell Bydalek

Master's Theses

The manufacture, laminate design, and modeling of a part with complex geometry are explored. The ultimate goal of the research is to produce a model that accurately predicts part stiffness. This is validated with experimental results of composite parts, which refine material properties for use in a final prototype part model. The secondary goal of this project is to explore manufacturing methods for improved manufacturability of the complex part. The manufacturing portion of the thesis and feedback into material model has incorporated a senior project team to perform research on manufacturing and create composite part to be used for experimental …

Functionalized Graphene Oxide As Reinforcement In Epoxy Based Nanocomposites, F. V. Ferreira, F. S. Brito, W. Franceschi, E. A. N. Simonetti, L. .S Cividanes, Mircea Chipara, Karen Lozano

Mechanical Engineering Faculty Publications

The effects of amine-modified graphene oxide on dispersion and micro-hardness of epoxy based nanocomposites are reported. Graphene oxide was prepared by the modified Hummers method followed by hexamethylenediamine functionalization. Analysis conducted through Fourier transform infrared spectroscopy, Raman spectroscopy, X-ray photoelectron spectroscopy and atomic force microscopy-based infrared spectroscopy show that the functionalization process effectively promoted a replacement of oxygen with amine groups while simultaneously creating defects in the graphitic structure. An increase in hardness was observed for the developed nanocomposites.