Jasmint: Language To User-Friendly Ast With Emphasis On Translation, 2018 California Polytechnic State University, San Luis Obispo
Jasmint: Language To User-Friendly Ast With Emphasis On Translation, John E. Bradbury
The goal of this project was to create a language (JASMINT) which would be easily transformable into other languages. With this, a library could be built which provides a rich set of functions, including typechecking, interpreting, and serialization, in order to make user modules easy to write. These modules are able to translate this AST into other languages and through the translation blocks can add new functionalities to JASMINT. The final state of the project at submission includes a library which handles all features except dynamic memory, transpilers (JasmintCxxTranspiler and JasmintPythonTranspiler) which handle most features except classes and dynamic memory ...
Modeling Of Swimming Cells From Nano-Scale To Micro-Scale, 2018 Washinton University in St. Louis
Modeling Of Swimming Cells From Nano-Scale To Micro-Scale, Yicheng Zhao
Engineering and Applied Science Theses & Dissertations
Certain human genetic diseases -- primary ciliary dyskinesia, infertility, and hydrocephalus -- are characterized by changes in beat frequency and waveform of cilia and flagella. Chlamydomonas reinhardtii, which is a single-cell green alga about ten micrometers in diameter that swims with two flagella, serves as an excellent biological model because its flagella share the same structure and genetic background as mammalian cilia and flagella. This study uses the finite element method to investigate the behavior of C. reinhardtii swimming from nano-scale to micro-scale. At the device-level, micro-scale modeling indicates that well-designed acoustic microfluidic devices can be used to trap groups of C ...
Why Latent Representations In Convolutional Neural Networks Fall Outside Visual Space, 2018 Pavlov Institute of Physiology of the Russian Academy of Sciences
Why Latent Representations In Convolutional Neural Networks Fall Outside Visual Space, Katerina Malakhova
It is common to compare properties of visual information processing by artificial neural networks and the primate visual system.
Some remarkable similarities were observed in the responses of neurons in IT cortex and units in higher layers of CNNs. Here I show that latent representations formed by weights in convolutional layers do not necessarily reflect visual domain. Instead they are strongly dependent on a choice of training set and cost function.
The most striking example is when an individual unit, which is highly selective to some members of a category is, nevertheless, inhibited by visually similar objects of the same ...
X-Means Clustering Implementing The Gap Statistic For Multiple Positron Emission Particle Tracking, 2018 University of Tennessee, Knoxville
X-Means Clustering Implementing The Gap Statistic For Multiple Positron Emission Particle Tracking, Matthew Herald
EURēCA: Exhibition of Undergraduate Research and Creative Achievement
The most efficient and accurate method for clustering Coincidence Lines (CL) for Positron Emission Particle Tracking (PEPT) is undetermined. A number of methods have been created to perform this task. A novel clustering method featuring x-means is presented using an automated k-value estimator for k-means clustering. Gap statistic is used to select the best k-value. Geant4 Application for Tomographic Emission is used to simulate particles of 50 µCi and the detection and electronic chain associated with the Siemens Inveon Pre-Clinical Scanner. The simulation produces an array of coincident lines (CL) in a format consistent with scanner output. The CL are ...
Design Of A Distributed Real-Time E-Health Cyber Ecosystem With Collective Actions: Diagnosis, Dynamic Queueing, And Decision Making, 2018 University of Nebraska - Lincoln
Design Of A Distributed Real-Time E-Health Cyber Ecosystem With Collective Actions: Diagnosis, Dynamic Queueing, And Decision Making, Yanlin Zhou
Theses, Dissertations, and Student Research from Electrical & Computer Engineering
In this thesis, we develop a framework for E-health Cyber Ecosystems, and look into different involved actors. The three interested parties in the ecosystem including patients, doctors, and healthcare providers are discussed in 3 different phases. In Phase 1, machine-learning based modeling and simulation analysis is performed to remotely predict a patient's risk level of having heart diseases in real time. In Phase 2, an online dynamic queueing model is devised to pair doctors with patients having high risk levels (diagnosed in Phase 1) to confirm the risk, and provide help. In Phase 3, a decision making paradigm is ...
Re-Evaluating Performance Measurement: New Mathematical Methods To Address Common Performance Measurement Challenges, Jordan David Benis
Electronic Theses and Dissertations
Performance Measurement is an essential discipline for any business. Robust and reliable performance metrics for people, processes, and technologies enable a business to identify and address deficiencies to improve performance and profitability. The complexity of modern operating environments presents real challenges to developing equitable and accurate performance metrics. This thesis explores and develops two new methods to address common challenges encountered in businesses across the world. The first method addresses the challenge of estimating the relative complexity of various tasks by utilizing the Pearson Correlation Coefficient to identify potentially over weighted and under weighted tasks. The second method addresses the ...
The 3d Abstract Tile Assembly Model Is Intrinsically Universal, 2018 Iowa State University
The 3d Abstract Tile Assembly Model Is Intrinsically Universal, Aaron Koch, Daniel Hader, Matthew J. Patitz
Computer Science and Computer Engineering Undergraduate Honors Theses
In this paper, we prove that the three-dimensional abstract Tile Assembly Model (3DaTAM) is intrinsically universal. This means that there is a universal tile set in the 3DaTAM which can be used to simulate any 3DaTAM system. This result adds to a body of work on the intrinsic universality of models of self-assembly, and is specifically motivated by a result in FOCS 2016 showing that any intrinsically universal tile set for the 2DaTAM requires nondeterminism (i.e. undirectedness) even when simulating directed systems. To prove our result we have not only designed, but also fully implemented what we believe to ...
Library Awesome Sauce Undergraduate Research, 2018 Southwestern Oklahoma State University
Library Awesome Sauce Undergraduate Research, Jeremy Evert, Phillip Joe Fitzsimmons, Hector Lucas
Faculty Articles & Research
Library Awesome Sauce Undergraduate Research was a presentation at the 2018 CADRE Conference in Stillwater, OK. The presenters discussed their collaboration on a video project to film interviews of students giving progress reports about their software engineering projects. The videos were posted on the institutional repository.
The speakers discussed Student-Led research and the role that academic libraries play in facilitating student and faculty research and publishing for all disciplines on campus.
Image Processing Applications In Real Life: 2d Fragmented Image And Document Reassembly And Frequency Division Multiplexed Imaging, 2018 Louisiana State University
Image Processing Applications In Real Life: 2d Fragmented Image And Document Reassembly And Frequency Division Multiplexed Imaging, Houman Kamran Habibkhani, Houman Kamran Habibkhani
LSU Doctoral Dissertations
In this era of modern technology, image processing is one the most studied disciplines of signal processing and its applications can be found in every aspect of our daily life. In this work three main applications for image processing has been studied.
In chapter 1, frequency division multiplexed imaging (FDMI), a novel idea in the field of computational photography, has been introduced. Using FDMI, multiple images are captured simultaneously in a single shot and can later be extracted from the multiplexed image. This is achieved by spatially modulating the images so that they are placed at different locations in the ...
Automated Classification To Improve The Efficiency Of Weeding Library Collections, 2018 San Jose State University
Automated Classification To Improve The Efficiency Of Weeding Library Collections, Kiri Lou Wagstaff, Geoffrey Liu
Geoffrey Z. Liu
Navigational Heads-Up Display, 2018 The University of Akron
Navigational Heads-Up Display, Alex Walenchok, Nicholas Seifert, Joshua Reed, Joshua Humphrey
Honors Research Projects
One problem drivers face is distraction from looking at their mobile device while navigating rather than watching the road. This problem can be solved with a heads-up display placed directly on the driver’s windshield. By using a mobile device with a custom GPS application, the following design will be able to send GPS data to a device that will display navigational information on a car windshield. The design includes two primary components, a mobile device and a System Unit, where the System Unit is composed of a portable power supply, a single board computer, and a display. For the ...
High-Order Integral Equation Methods For Quasi-Magnetostatic And Corrosion-Related Field Analysis With Maritime Applications, Robert Pfeiffer
Theses and Dissertations--Electrical and Computer Engineering
This dissertation presents techniques for high-order simulation of electromagnetic fields, particularly for problems involving ships with ferromagnetic hulls and active corrosion-protection systems.
A set of numerically constrained hexahedral basis functions for volume integral equation discretization is presented in a method-of-moments context. Test simulations demonstrate the accuracy achievable with these functions as well as the improvement brought about in system conditioning when compared to other basis sets.
A general method for converting between a locally-corrected Nyström discretization of an integral equation and a method-of-moments discretization is presented next. Several problems involving conducting and magnetic-conducting materials are solved to verify the accuracy ...
Investigating Smoke Exposure And Chronic Obstructive Pulmonary Disease (Copd) With A Calibrated Agent Based Model (Abm) Of In Vitro Fibroblast Wound Healing., James A. Ratti
Theses and Dissertations
COPD is characterized by tissue inflammation and impaired remodeling that suggests fibroblast maintenance of structural homeostasis is dysregulated. Thus, we performed in vitro wound healing experiments on normal and diseased human lung fibroblasts and developed an ABM of fibroblasts closing a scratched monolayer using NetLogo to evaluate differences due to COPD or cigarette smoke condensate exposure. This ABM consists of a rule-set governing the healing response, accounting for cell migration, proliferation, death, activation and senescence rates; along with the effects of heterogeneous activation, phenotypic changes, serum deprivation and exposure to cigarette smoke condensate or bFGF. Simulations were performed to calibrate ...
Call For Abstracts - Resrb 2018, June 18-20, Brussels, Belgium, 2017 Wojciech Budzianowski Consulting Services
Call For Abstracts - Resrb 2018, June 18-20, Brussels, Belgium, Wojciech M. Budzianowski
No abstract provided.
Information Technology Use In West African Agriculture – Challenges And Opportunities: A Panel Discussion, 2017 University of Missouri - St Louis
Information Technology Use In West African Agriculture – Challenges And Opportunities: A Panel Discussion, Maurice Dawson, Damon Walker, Ashley Moss
Multiphase Flow Modeling For Design And Optimization Of A Novel Down-Flow Bubble Column, 2017 Louisiana State University and Agricultural and Mechanical College
Multiphase Flow Modeling For Design And Optimization Of A Novel Down-Flow Bubble Column, Mutharasu Lalitha Chockalingam
LSU Doctoral Dissertations
The application of the Euler-Euler framework based Computational Fluid Dynamics (CFD) models for simulating the two-phase gas-liquid bubbly flow in down-flow bubble columns is discussed in detail. Emphasis is given towards the modelling and design optimization of a novel down-flow bubble column. The design features of this novel down-flow bubble column and its advantages over a conventional Plunging Jet down-flow bubble column are discussed briefly. Then, some of the present challenges in simulating a conventional Plunging Jet down-flow bubble column in the Euler-Euler framework is highlighted, and a sigmoid function based drag modification function is implemented to overcome those challenges ...
Whitespace Exploration, 2017 California Polytechnic State University, San Luis Obispo
Whitespace Exploration, Jason Lloyd Daniel
Master's Theses and Project Reports
As engineering systems grow in complexity so too must the design tools that we use evolve and allow for decision makers to efficiently ask questions of their model and obtain meaningful answers. The process of whitespace exploration has recently been developed to aid in engineering design and provide insight into a design space where traditional design exploration methods may fail. In an effort to further the research and development of whitespace exploration algorithms, a software package called Thalia has been created to allow for automated data collection and experimentation with the whitespace exploration methodology.
In this work, whitespace exploration is ...
State-Based Peridynamic Particle Method, 2017 University of New Mexico
State-Based Peridynamic Particle Method, Siavash Nikravesh Kazeroni
Civil Engineering ETDs
In this study, a novel discrete Peridynamics framework called the “State-Based Peridynamic Particle Model (SPPM)” is introduced. In this approach, a solid body is simulated by neither solving differential equations nor integral equations; instead, the simulation is accomplished by directly solving discrete systems of equations using finite summations. SPPM is formulated for a random distribution of particles, hence, it can be considered as a meshfree method. The assumptions of continuity and homogeneity are not necessary for this approach. The SPPM is a generalization of the “State-Based Peridynamic Lattice Model (SPLM)”. In the SPLM formulation, for sake of simplicity and computational ...
A Smart Internet Of Things (Iot) Prototype For Accurate People Counting Towards Energy Efficient Buildings, 2017 Schoo of Architecture, SIUC
A Smart Internet Of Things (Iot) Prototype For Accurate People Counting Towards Energy Efficient Buildings, Qian Huang, Kane Rodriguez, Chao Lu
ASA Multidisciplinary Research Symposium
According to the U.S. Department of Energy, 30% of the energy used in commercial buildings is wasted. If the number of humans in each pre-determined thermal zone is aware, a building automation system (BAS) is able to intelligently adjust HVAC operation for each thermal zone to provide “just-enough” heating, cooling and ventilation to building users. Therefore, a people counting device that can be widely deployed with low price and failure rate, small form-factor, good usability, and conserved user privacy is highly desirable. Existing room occupancy detection sensors (e.g., passive infrared, camera, acoustic, RFID, CO2) cannot meet all ...
A High Quality, Eulerian 3d Fluid Solver In C++, 2017 California Polytechnic State University, San Luis Obispo
A High Quality, Eulerian 3d Fluid Solver In C++, Lejon Anthony Mcgowan
Fluids are a part of everyday life, yet are one of the hardest elements to properly render in computer graphics. Water is the most obvious entity when thinking of what a fluid simulation can achieve (and it is indeed the focus of this project), but many other aspects of nature, like fog, clouds, and particle effects. Real-time graphics like video games employ many heuristics to approximate these effects, but large-scale renderers aim to simulate these effects as closely as possible.
In this project, I wish to achieve effects of the latter nature. Using the Eulerian technique of discrete grids, I ...