Projects Day May 4, 2010

Computer Science Clinic

The Aerospace Corporation

Complex Event Processing of SBIRS Data Streams

Liaisons: Dr. Joe Betser, William Goo ’01, Bernardo Perez, Dr. Matt Presley ’89, Dr. Brian Tung
Advisor: Robert Keller
Students: Joshua Ehrlich (PM), Dan Halloran, Simon Yang, Dav Yust

The Aerospace Corporation proposed a net-centric approach to processing data from the Space-Based Infrared System (SIBRS) of satellites. We developed four prototype application components that demonstrate the potential of this new approach: an information filter construction system, a heat-map display, a recommendation system, and a search system. These components will aid analysts in processing the high volume of data emitting from SIBRS, making it possible to draw conclusions more readily and decrease reaction time to events of significance.

ANP Lighting

ANP Design-A-Light Assembler

Liaison: Ron Foster
Advisor: Melissa O’Neill
Students: Greg Bickerman, Megan Campbell (PM-F), Matthew Wodrich, Alice Zhu (PM-S)

The team has developed an interactive web-based application for creating designs of custom street lamps built from individual parts. Users can select pieces they desire from large collection of components, and our application intelligently assembles them to display a schematic of the completed lamp. Our sponsor builds lamps from these schematics and distributes the products to clients such as the city of Los Angeles, Target, and Walt Disney World. We will discuss and demo our finished application during this presentation.

DreamWorks Animation

SPARQLy: An RDF Store For Regularly Structured Data

Liaisons: Drew Perttula, Michael Seales, Nathan Wilson (F), Gregg Carrier (S), Doug Sherman, Abby Thompson
Advisor: Chris Stone
Students: Joshua Durgin, Zvi Effron, Joshua Swanson (PM), Steven Watanabe

DreamWorks Animation represents some of its working information about movies, scenes, etc. into an RDF (Resource Description Framework) store. RDF is more flexible than conventional relational databases, maintain an unstructured and constantly changing web of relationships between pieces of data. This lack of structure means that searching RDF can be slow. The team has developed an RDF store optimized for subsets of data where the structure is stable and well-defined (for instance, every scene is part of exactly one movie).

Genius.com Inc.

Aggregating Web Application User Interaction for Usability Analysis

Liaisons: Ryan Ausanka-Crues, Alex Korn Advisor: Geoff Kuenning Students: Rachel-Mikel ArceJaeger, James Brown, Sayuri Soejima (PM), Dmitriy Yakovlev

The team developed a web-based JavaScript framework that observes and collects user behavior to assess the usability of Genius.com’s web application. In particular, the framework detects and records mouse movement, screen scrolling, element selection, page navigation, and other user interactions. This framework will allow Genius.com to evaluate the intuitiveness of its application’s user-interface design.

Laserfiche

Laserfiche Mobile

Liaisons: Kurt Rapelje, Karl Chan ’89, Kenneth Leung
Advisor: Elizabeth “Z” Sweedyk
Students: Steven Berler, Bart Broad, Josh Klontz, Alex Yin (PM)

Laserfiche provides enterprise content management software used in a wide range of industries. The Laserfiche Mobile Clinic team is designing and implementing an iPhone application for convenient remote access to Laserfiche repositories. Design challenges include creating a fluid and compact user interface and optimizing communication for acceptable responsiveness over a 3G connection. The application is capable of searching, browsing, viewing, and updating documents and their metadata. It can also upload images of new documents acquired with the iPhone camera.

Computer Science/Physics Clinic

Southwest Research Institute (SwRI)

Data Inversion For a New Spectral Imaging Technique

Liaison: Dr. Craig DeForest
Advisors: Zach Dodds, Richard Haskell
Students: Arthur Eigenbrot, Zeke Koziol, Will Scott (PM), Martin van Schaardenburg

The SHAZAM system is able to take very high resolution data of the Sun’s magnetic field through a new technique called Stereoscopic Spectroscopy. This technique combines a unique instrument setup with new reduction algorithms to allow for full integration over all wavelengths and spatial dimensions. This Clinic project produced a data processing pipeline that performs standard data reduction, cross correlation stereoscopy, and newly developed differential stereoscopy on recorded data in order to produce final magnetograms.

Engineering Clinic

AeroVironment, Inc.

Using RFID in Small Unmanned Aircraft Systems

Liaisons: Dave Wilbur ‘68, Peter Crescenti, Phil Tokumaru
Advisors: Carl Baumgaertner (S), Donald Remer (F)
Students: Austin Anderson (F), Timothy Challener (F), Corrine Cho (TL-F), Kevin Hsu (TL-S), Christian Jolivet (S), Alexander Kurtis, Alexander McAuley (S)

AeroVironment would like to investigate the feasibility of using radio frequency identification (RFID) to speed up their shipping process for their Unmanned Aerial Vehicles (UAV). In addition, AV would like to investigate embedding an RFID integrated circuit into the UAV to automatically update flight configurations for their UAVs by scanning the tags located on the UAV parts.

AlloGenesis, LLC

Natural Mixtures From Human Platelets For Tissue Engineering

Liaisons: Mark Roedersheimer ’91, Alan Baron ’89
Advisor: Elizabeth Orwin
Students: Jordan Ciciliano (TL-F), Esther Hwang (F), Chris Koo, Jennifer Lee (F), Winfong Lee (S), Christopher Ramos (S), Clark Zhang (TL-S)

The AlloGenesis Clinic team is focused on optimizing the process variable involved in extracting and purifying growth factors from human platelets that can easily be scaled up in a cost effective manner. The effectiveness of the growth factor mixture is evaluated and determined through stem cell viability results which will ultimately be expanded to be used in research and clinical applications.

Association of Universities for Research in Astronomy (AURA)/National Optical Astronomy Observatory (NOAO)

Ultra-Low Noise Readout System for Charge Coupled Devices

Liaisons: Mark Hunten, Peter Moore
Advisor: Charles Thangaraj
Students: Kevin Chan (F), Christopher Feruson (S), Aaron Guillen (TL-S), Matthew Keeter (S), Masato Kocberber (TL-F), Narayan Propato (F), Timothy Nguyen (S)

Currently, terrestrial-based astronomical observatories run by NOAO use analog data acquisition systems for reading charge coupled devices in telescopes. These analog electrical systems introduce a considerable amount of noise in the output signal. NOAO would like the team to create a digital data acquisition system and to implement the technique of over-sampling to filter any noise. Reduction of noise will improve image quality and reduce the time required to obtain high-quality images.

Beckman Coulter Foundation

Design and Development of a Low-Cost Air Quality Monitoring Instrument

Liaisons: Dr. Andrea Polidori, Dobson Okawa
Advisor: Ruye Wang
Students: Raffi Attarian (TL-F), Laurent Goudet (EX), Rachid Grimes (F), Nathan Jones (TL-S), Jason Kang (S), Jason Wang

The Beckman Coulter Foundation has tasked our clinic team to design and develop a low-cost air quality monitoring device. This monitoring instrument will sample ambient air and analyze the black carbon (BC) content, providing a relative measurement of the BC concentration. The collected data will form a historical record of BC concentration to identify pollutant trends. The final deliverable to Beckman Coulter will be a fully tested functioning device that is ready for outdoor deployment for further testing.

Beckman Laser Institute

Design of an Endoscopic Mucosal Metabolic Imaging Sensor using Diffuse Optical Spectroscopy and Optical Coherence Tomography

Liaisons: Albert Cerussi, Ph.D.; Zhonping Chen, Ph.D.; Sucbei Moon, Ph.D; Bruce Tromberg, Ph.D.; Vasan Venugopalan, Ph.D.
Advisor: Qimin Yang
Students: Carolina de Freitas (TL-S), Susanna Lin (F), Benjamin Margolis, Roque Muna (S), Lauren Nishioku (S), Kevin Ryan (F), Matthew Streshinsky (F)

In trauma situations, the declination of fluids and metabolism in the patients’ body core quickly becomes irreversible after it begins. BLI has developed technologies that could quantitatively characterize mucosal tissue structure, blood flow, and oxygen utilization. The HMC Clinic team is asked to design, develop and demonstrate a mucosal metabolic imaging sensor, which combines two biophotonic technologies: Optical Coherence Tomography (OCT) and Diffuse Optical Spectrosopy (DOS). Using these technologies in conjunction will provide a robust and real-time measure of patient metabolism.

Center of Integration for Medicine and Innovative Technology (CIMIT)

Closed Circuit Xenon Delivery System for Nueroprotective Therapy

Liaisons: Alex Pranger, Dr. Bill Wiesmann, Dr. Jussi Saukkonen
Advisor: Patrick Little
Students: Jin Soo Jo, Matthew Phillips (S), Raquel Robinson (TL-S), Allison Russell (S), Bryan Teague (TL-F), Max Wishman (F)

The CIMIT team’s aim is to develop a closed circuit breathing system to deliver Xenon gas as a neuro-protectant, in a controlled manner. This circuit will be used to treat individuals who have experienced varying degrees of brain trauma. Upon completion, the prototype will move directly to animal testing. If this testing phase is successful, the device will be used in the medical industry and ultimately on the battle field as well.

DirecTV, Inc.

Design and Implementation of a Tool for Satellite Link Analysis

Liaisons: Shamik Maitra and Patrick Loner/b Advisors: Charles Thangaraj, Carl Baumgaertner (F) Students: Dillon Ayers (F), Donald Bolton (TL-F), Daniel Bujalski (TL-S), Steven Gordon (S), Jenni Rinker (S), Andrew Xue (S), Kevin Yeung (F)

DirecTV prides itself in its ability to provide quality satellite TV broadcasting service to its customers. Thus, the company requires many tools to predict the quality of signals for given locations. Our Clinic project’s goal is to create an easy-to-use PC-based tool by which DirecTV can analyze various satellite links in their system, taking into account all significant interference and attenuation factors that will affect signal availability.

Fillmore Irrigation Company

Water Diversion on Sespe Creek

Liaison: Barbara Filkins ’75
Advisor: Mary Cardenas
Students: Mobashwir Khan, Katherine Maddalena (S), Megan Pham, Erin Powers (S), Benjamin Ryan (F), Dorian Scrima (TL), Victoria Wu (F)

The Fillmore Irrigation Company in Fillmore, CA, has the legal right to divert surface water from the Sespe Creek, a habitat of the endangered steelhead trout. Previous methods of diverting water, such as the annual reconstruction of an earthen dam, have proven insufficient from multiple perspectives. Thus, the goal of the project was to design a water diversion system that would help FIC maintain its water right and provide enough water to augment its current supply, while minimizing environmental impacts.

Honeywell Aerospace

Early Detection of Ice Buildup on Aircraft Heat Exchangers

Liaison: Joe Borghese
Advisor: Anthony Bright
Students: Ian Bullock (TL-S), Julia Diaz (F), Marco Fernandez (F), Benyue Liu (TL-S), Andrew Macrae (S), Christopher Nield (TL-F)

Heat exchangers used in environmental control systems often experience significant ice buildup during use. Currently, severe ice buildup is detected by pressure sensors, and hot air is used to melt the ice. Our project is concerned with designing and testing a novel sensor system to enable reliable detection of small amounts of ice so that the ice can be melted earlier to provide more efficient and consistent system performance.

Kona Coffee Farmers Association

Efficient Air-Drying of Processed Coffee

Liaison: Dr. Robert Kraus
Advisor: Nancy Lape
Students: Marc Davidson (TL-S), Bryan Downs, Mary Moore-Simmons (TL-F), Thomas Oh, Kristina Runas (S), Allison Wynn (F)

The goal of this project is to dry post-harvest processed coffee to the desired moisture content (10-15%) as quickly as possible. The most common drying method is to spread the beans out on a patio to let the sun and wind dry them. Many farmers have difficulty drying to the required moisture content due to high humidity, rain, lack of sun, and other factors. Long drying times may degrade the quality and taste of the coffee. Our system will dry coffee beans more efficiently while using as little electricity from the grid as possible.

Lawrence Livermore National Laboratory (LLNL)

Ultracompact Cryogenic Insulation for LH2 Automobiles Group #1

Liaison: Gene Berry
Advisor: Joseph King
Students: Matthew Cummins (F), Jonathan Cloud Dragon Hubbard, Sean Kim (TL-F), Kyle Klipfel (S), Kevin Lee (TL-S), Ashley Nelson (S), Harry Wornick (F)

Lawrence Livermore National Laboratory needs HMC Clinic team to design and build 1/10th scale prototype suspension, insulation, and vacuum jackets, and test their cryogenic insulation performance using LH2. The design goal for the team is maximum volumetric efficiency with heat leak less than 1 Watt using only one insulating layer.

Lawrence Livermore National Laboratory (LLNL)

Ultracompact Cryogenic Insulation for LH2 Automobiles Group #2

Liaison: Gene Berry
Advisor: Joseph King
Students: Nick Card (S), Brandyn Carlson (S), Michael Lee, Joshua Ray, David Turner (F), Jessica Witt (TL)

Lawrence Livermore National Laboratory needs HMC Clinic team to design and build 1/10th scale prototype suspension, insulation, and vacuum jackets, and test their cryogenic insulation performance using LH2. The design goal for the team is maximum volumetric efficiency with heat leak less than 1 Watt using only one insulating layer. Livermore National Laboratory needs HMC Clinic team to design and build 1/10th scale prototype suspension, insulation, and vacuum jackets, and test their cryogenic insulation performance using LH2. The design goal for the team is maximum volumetric efficiency with heat leak less than 1 Watt using only one insulating layer.

Los Alamos National Laboratory (LANL).

Thermal Imaging System for the LANSCE 1L Target

Liaisons: Mike Borden, Doug Gilpatrick, Mark Gulley, Brian Smith Advisors: Lori Bassman (HMC), Trinh Pham (CSULA) Students: Scott Butters (TL-F), Wesley Ducey, Ryan Green (CSULA), Kevin King, Jason Miller (CSULA), Richard Nguyen (CSULA)

Current particle beam diagnostic instruments have not been able to withstand the intense thermal and radiation environment of the Los Alamos Neutron Science Center particle accelerator. The team has been tasked with the design of a system that determines the position and distribution of the proton beam by thermal image analysis. This system will contain a beam-intercepting surface, an image relay system composed of mirrors and lenses, and infrared camera, and image analysis software.sed as a renewable energy resource. We have been tasked to design and prototype a device to de-water the fresh solids to 50% water content, a targeted improvement of 46% in water removal compared to M2R’s existing de-watering configuration.

National Institute for Nano-Engineering (NINE)

Unwinding Spooled Electrospun Nanofibers

Liaisons: Dr. Tim Boyle, Sarah Hoppe
Advisor: Nancy Lape
Students: Doo Hyun Chung (S), Mike McNeece, Nadia M’Tarrah, David Rolfe (F), Michelle Walker (TL-F), Alex Young (TL-S)

Nanofibers, fibers 100 to 1,000 times narrower than a human hair, have a wide range of technological applications because of their outstanding surface area to mass ratio. Applications include medical filtration and advanced lithium-ion batteries. An infrastructure does not yet exist for the storage and transport of nanofibers for use at secondary processing facilities. To this end, we designed, built, and tested a system to store nanofibers on a spool and unwind them for reuse later.

Northrop Grumman Corporation

Modeling Damage Accumulation in Solder Joints

Liaisons: Todd Uramoto, Bill Vanier, and Charles Volk
Advisor: Philip Cha
Students: Scott Almond (F), Shawn Duenas (TL-S), Nicolas Hasegawa, Alex Krause, Brendan Smith (S), Lou Zellinger (TL-F)

The goal of this project was to identify, test, and verify, a model to predict the number of times a particular circuit board can be subjected to its thermal cycling acceptance test before significant damage is accumulated in the form of crack initiation at the solder joints. A finite element analysis was employed to predict the time to crack initiation. Results from the model were compared to an experimental test in an environmental chamber using the aforementioned profile.

Northrop Grumman Corporation

Calibrating Space-Based Infrared Sensorss

Liaisons: Dr. Anthony DiNardo, Dr. Leona Charles, Dr. Qiong Jackson
Advisor: Sam DiMaggio
Students: Andrew Armas, Brian Bosak (TL-S), Ian Jimenez (S), Sarah Nitzan, Jake Rowley (TL-F), Sarah Yi (F)

Abstract Removed by Request of Sponsor

Oregon Biomedical Engineering Institute (OBEI)

The Design of a Therapeutic Stem Cell Injector

Liaisons: Dr. Kenton Gregory, Teresa Pineda ’06
Advisor: Elizabeth Orwin
Students: Steven Dell (TL-F), Marie Godla (S), Cassie Nguyen, Tom Strizic (S), Hannah Troisi (F), Jessica Wen (TL-S)

The OBEI Clinic team is designing a therapeutic stem cell injector to aid in delivering bone marrow stem cells to muscle tissue to treat compartment syndrome. The design of a needle array involving a customized diffuser head and novel irrigation needles should promote a uniform dispersion of cells, minimize cell fluid loss, and increase the efficiency of the current therapeutic injection process.

Orthodyne Electronics

Machine Vision for Automated Wire Bonding

Liaisons: Howard Olsen, Mark Delsman ’98/99
Advisor: Ruye Wang
Students: Alexandre Amert (EX), Daniel Bobrowsky (TL-F), Zachary Flom (S), Paige Pruitt (F), Daniel Taller (TL-S)

The team’s client is Orthodyne Electronics, a company that produces wire bonding equipment for semiconductor, automotive, and industrial purposes. The goal of this project was to write a computer program to help operate a robotic arm. More specifically, we were tasked with writing an algorithm that takes image input from a camera. Based on this information, the algorithm tells the robotic arm where it ought to move to accomplish its tasks.

QUALCOMM, Incorporated

Reconfigurable Modem Datapath

Liaisons: Aaron Lamb ’96, Ken Easton ’89
Advisor: David Money Harris
Students: Leo Altmann (F), Kyle Baran (S), Jaakko Karras (TL-F), Tae Lee (F), Andrew Pozo (TL-S), Kramer Straube (S)

Harvey Mudd College 2009-2010 Qualcomm Clinic Team designed a reconfigurable modem datapath capable of performing the FFT and FOR filtering. The team developed a pipelined datapath intended for high throughput and efficient hardware utilization. This design was coded in Verilog and implemented on an FPGA for testing. To create an overall system with higher thoughput, multiple pipelined datapaths were run in parallel. In this implementation, the flow of data into and out of the system was controlled by a soft processor.

Sandia National Laboratories

High-Temperature High-Speed Data Link for Geothermal Systems

Liaisons: Joseph Henfling, Douglas Blankenship
Advisor: Ziyad Duron
Students: Ariel Berman (F), Michael Ho, Daniel Ihlenfeldt (S), Julia Karl, Ben Keller (TL), Madeleine Ong (S)

Sandia National Laboratories is interested in improving real-time communications with instrumentation mounted near the drill bits of geothermal drilling rigs. High-speed data links between these instruments and surface readouts allow for rapid corrections to drilling procedure and minimize the risk of damaged bits, reducing the overall cost of geothermal drilling. The team was tasked with designing a low-cost readout system that could interpret data sent at high data rates over long cables.

SEAmagine Hydrospace Corporation

Novel Oil Recovery Sensor System

Liaison: William Kohnen Advisor: David Money Harris Students: Alex Grammar (TL-S), Caitlin Jacques (F), Matthew Kurtis, Kirsten McAfee (S), Alex Randall, Jonathan Simkin (TL-F)

The SEAmagine team has designed a novel sensor system to be used in the clean-up of heavy oil spills. Various sensor technologies have been investigated to evaluate effectiveness at determining the presence of oil in suctioned water. The team constructed a scaled prototype of the suction and sensor system and experimented with various collection techniques.

Southwest Research Institute (SwRI)

Moving Object Detection with Optimal Image Subtraction)

Liaison: Dr. Marc W. Buie
Advisor: Patrick Little
Students: Steven Berry (F), Austin Lee (TL-S), Cullen McMahon (S), Claire Robinson (F), Chris Sauro, Florian Scheulen (TL-F)

The Southwest Research Institute Clinic team was tasked with improving the execution time and output quality of an image subtraction algorithm. This software is important both for the study of Pluto as well as asteroid detection. The first half of this project is focused on code improvement and efficiency. The second half is focused on analyzing a large set of images to locate a Kuiper Belt Object that the New Horizons spacecraft can target after passing Pluto in 2015.

Space Systems/Loral (SS/L)

Modeling Shock Propagation In Satellite Instrumentation Panels

Liaisons: Adam Maher, Dan Thunnissen, Gerrit van Ommering
Advisors: Philip Cha, Ziyad Duron
Students: Joel Brown (F), Chelsea Drenick(TL-S), Betsy Ellis (TL-F), Ben Hsieh (S), Eric Nieters(S), Ben Smith, Elliot Smith (S)

Space Systems/Loral (SSL) manufactures satellite systems for a variety of clients. Their satellites include honeycomb aluminum panels for which there currently exists no good analytical model of shock propagation. The system is complicated by the addition of instrumentation, which adds weight to the panel. Therefore, SSL must employ costly testing and use conservative designs. The goal of this Clinic project is to create and experimentally verify a model of shock propagation through the honeycomb panels with point masses attached.

Engineering/Physics Clinic

Lawrence Livermore National Laboratory (LLNL)

Liquid Organic Scintillator Detectors for Nuclear Material Monitoring

Liaisons: Steven Dazeley, Ph.D.; Gregory Keefer, Ph.D.; Nathaniel Bowden, Ph.D; Adam Bernstein, Ph.D.
Advisor: Richard Haskell
Students: Roger Billingsley, Chen Lim, Steven Ning (PHY), Alex Steinkamp (TL-PHY), Yoichi Sagawa

The joint Physics-Engineering project sponsored by LLNL aims to research a potential liquid organic scintillator for use in an antineutrino detector. Such a detector must have neutron-gamma discrimination capabilities, and the HMC team will test those capabilities for various cell dimensions and reflectivity levels. The team will also investigate the relative efficacy of two different algorithms for discriminating between neutron and gamma events. The result of the team’s research will inform the direction of LLNL’s next antineutrino detector.

Global Clinic

Harvey Mudd College/University of Iceland

Waste Heat Reclamation Via a Small-Scale Organic Rankine Cycle

Advisors: Anthony Bright, Rnar Unnthrsson
Students: Robert Best, Masanori Honda (TL-F), Kristín Jónsdóttir (UI), Visar Jahiu (S), Róbert Kristjánsson (UI), Einar Magnússon (UI), Javier Morquecho (S), Alyssa Pierson (TL-S)

The team designed a small-scale Organic Rankine Cycle to generate usable electricity from waste heat sources. A novel heat transfer fluid, Novec, was used as the working fluid to eliminate the negative environmental effects resulting from traditional refigerants. Capturing waste heat for energy has the potential to increase the efficiency of existing power generation systems.

Earth Observatory of Singapore (EOS)/Nanyang Technological University (NTU)

Development of a Low-Cost, Rapidly Deployable System for Monitoring Volcanoes

Liaison: Ian McLoughlin, Ph.D.
Advisors: Mike Erlinger, David Butler (NTU), Law Choi Look (NTU)
Students: Nick George (PC), Rebecca Glick (S), Angus Ho, Jackie Lam (TL), Choo Weiqiang Daniel (NTU), He Weijie (NTU), Li Yiyang (NTU)

In conjunction with the Earth Observatory of Singapore, the Global Clinic team designed a low-cost, rapidly-deployable volcano monitoring system to be used on volcanoes in the Sumatra region of Indonesia. The system consists of a network of sensing nodes, which use radio telemetry to transmit data to a base station capable of relaying it to researchers. The network monitors gas concentration, crater deformation, and seismic activity.

Lien Institute for the Environment (LIFE)/Nanyang Technological University (NTU)

Wastewater Treatment in Rural China

Liaison: Chai Kok Chiew
Advisor: Lisette dePillis
Students: Fred Johnson, Erin Partlan (S), Cidney Scanlon (TL-S), Claire Walker (TL-F)

The Lien Institute for the Environment (LIFE) works in individual communities within developing countries to produce appropriate and life saving water, sanitation, and shelter technologies. A team of students from Nanyang Technological University and Harvey Mudd College Global Clinic are designing a wastewater treatment system for use in the Jiaoyuan village, in the Sichuan province of the People’s Republic of China. The team is designing and testing systems to treat the blackwater and greywater from individual households in the village.

Mathematics Clinic

CareFusion

Modeling Fluid Transport in Subcutaneous Tissue

Liaisons: Bob Butterfield, Bob Siefert Advisor: Rachel Levy Students: Ben Goldenberg (PM), Chris Fathauer, Samuel Just, Daniel Patterson

CareFusion is a leading manufacturer of IV pumps. The goal of this project is to provide CareFusion with information about fluid flow in subcutaneous tissue. The project has had three foci: (1) to conduct in vitro experiments on fluid flow in non-living tissue, (2) to further develop two mathematical models of fluid flow in tissue from the Clinic project last year, and (3) to design a protocol for in vivo experiments to validate and inform these models.

Los Alamos National Laboratory (LANL)

A Multi-Criteria Optimization Model for Trade-Offs Between Services and Costs in Computer Support Services

Liaisons: John McDermon, Sharon Seitz
Advisor: Talithia Williams
Students: Rick O’Toole, Kaylin Spitz (PM), Will Terry, David Zitter

The Department of Computer Services (DCS) at Los Alamos National Laboratory (LANL) provides computer support to a variety of computing environments. Different organizations within the lab require different levels of computer support. DCS has tasked us with quantifying the difference between these organizations, based on information regarding an organization’s current computing environment and level of received support. A statistical model, measuring the complexity of these computing environments, has been developed, allowing the adequate distribution of computing support to organizations at LANL.

Southwest Research Institute (SwRI)

Application of Iterative Blind Deconvolution Algorithms

Liaisons: Eliot Young, Rick Puetter, Franck Marchis
Advisors: Weiqing Gu (F), Hank Krieger (S)
Students: Jeffrey Burkert, Bryce Lampe, Taiki Sakai (PM), Jason Wyman

Blind image deconvolution is an important area of research for the reconstruction of images that contain both blurring and noise, such as images of objects in outer space taken by the Hubble Space Telescope. We present the mathematics behind this process and discuss two software packages that tackle this problem, Pixon and AIDA. In particular, we will discuss our work with AIDA, and the additions we have made to the existing algorithm.