Projects Day May 7, 2013
Computer Science Clinic
Amazon in OC
Podium: Making Mobile Apps More Social
Liaisons: Will Goo ’01, Bernie Perez
Advisor: Z Sweedyk
Students: Erin Coughlan (PM), Meredith Murphy, Haakon Saxberg, Michael Stock-Matthews
Amazon in OC would like to improve the customer experience with mobile apps on the Kindle Fire and other Android devices by adding in-app commenting. The HMC Clinic team has developed an API that allows mobile app developers to easily integrate with social networks. Customers can now read comments left by their friends while running the app―at a line in a book, a scene in a movie, or a level in a game―as well as leave their own comments.
Automated Candidate Sourcing
Liaisons: Charles Swan, Sabreen Lakhani ’11, Colin Bodell
Advisor: Melissa O’Neill
Students: Zachary Purdy (PM), Rai Feren, Joseph Dearden, Josh Oratz
Amazon.com needs to hire talented software engineers to maintain and develop their online software services. The industry-standard processes for finding candidates miss many strong developers and are time-consuming for Amazon’s recruiters. The goal of this project is to create a tool that improves the efficiency and breadth of Amazon’s candidate search by intelligently mining online resources.
Apatite to Zircon, Inc.
Automatic Fission Track Identification and Analysis in Apatite Crystals
Liaison: Ray Donelick
Advisor: Christopher Stone
Students: Mary Rachel Stimson (PM), Eli Omernick, Colin Bundschu, Peter Andrien
Apatite to Zircon, Inc. is a geological services firm that provides services analyzing grains of apatite crystals from rocks. Previously, apatite grain analysis had been completed by hand. Our team researched and improved upon existing automation techniques by using a number of image-processing and machine-learning algorithms. These automation techniques will make it easier for Apatite to Zircon, Inc. to analyze apatite grains and to educate new geologists.
EMC Isilon Storage
Optimizing SSD Performance for OneFS Workloads
Liaisons: Steve Hubbell ’95, Ben Melhuish ’94
Advisor: Geoff Kuenning
Students: David Ersek, Brad Jensen (PM-S), Stephen Levine (PM-F), Matthew Prince
Isilon recently began offering storage nodes that incorporate solid-state disks (SSDs). Although SSDs differ significantly from hard drives, they employ a flash translation layer that allows them to be treated as hard drives. However, SSDs still have very different optimal access patterns. We developed methods for optimizing writes to SSDs in Isilon’s OneFS file system.
Mobile Document Image Processing
Liaisons: Kurt Rapelje, Ryan Wong, Ed Heaney ’04
Advisor: Z Sweedyk
Students: Jason Yu (PM), Jordan Ezzell, Nick Kinkade, Ben Normoyle
Laserfiche provides content management solutions that include software to digitize and process documents. One capability of Laserfiche’s software is to process images of documents taken with a smartphone camera so they look as if they were scanned. Our goal is to improve the algorithm in this process so that background artifacts and border noise are removed and document text is straightened.
An Open-Source System for Malware Detection
Liaison: Dan Drew
Advisor: Geoff Kuenning
Students: My Diem Ho (PM), Josiah Gaskin, Alex Eng, Lawrence Thibodeaux
Proofpoint, Inc. offers Security-as-a-Service to companies of medium to large size and is dedicated to protecting sensitive information from outside threats such as malware. They asked our Clinic team to develop a system to detect attacks carried in innocent-seeming files. We constructed a system from existing open-source components that can detect suspicious Microsoft Office and Rich Text Format documents by analyzing files statically. The system examines the files for malformed content and structure, and flags suspicious material for more detailed analysis by a sandboxing system.
Augmented Reality Interior Decorator
Liaisons: Parixit Aghera, Vito Bica
Advisor: Colleen Lewis
Students: Jessica Stringham (PM-S), Sam Konowitch (PM-F), Ari Schumer, Zewei Wang
Vuforia™ is a software platform developed by Qualcomm® which enables developers to integrate image recognition-based augmented reality (AR) in their mobile applications. Our task was to design and implement an application that demonstrates the features of Vuforia and potential uses of AR. We developed an Android application that enables users to choose furniture from a physical catalog using Vuforia’s cloud target image recognition, place and manipulate a 3D model in their environment using AR, and take and share photos of their arrangement with the user’s social network.
GPU Data Compression and Analysis Library
Liaisons: Michael Kamprath, Silvius Rus, Esteban Molina-Estolano ’06, Chauncey Brooks
Advisor: Ran Libeskind-Hadas
Students: Scott Breyfogle, Andrew Carter, Dietrich Langenbach (PM-F), Jack Ma (PM-S)
Quantcast Corporation is interested in using GPUsto reduce workload on their CPUs by migrating computationally intensive tasks to the GPU. They have identified operations such as data compression and string search, which require significant CPU time on their system, as possible targets for this migration. The team designed and implemented a versatile GPU library that can execute these operations both on the CPU, and on the GPU using both CUDA and OpenCL frameworks. The team implemented and benchmarked six compression algorithms and a string search algorithm using the framework.
Sandia National Laboratories
Development of an Advanced Finite Element Implementation for Atomistic-to-Continuum Modeling
Liaisons: Jeremy Templeton, PhD, Jonathan Zimmerman, PhD, Reese Jones, PhD
Advisor: Robert Keller
Students: Jordan Librande (PM), Jacob Bandes-Storch, Jay Jonsson, Michael Morton
The Atomistic-to-Continuum software package (AtC), developed by Sandia National Laboratories, couples the modeling techniques of Molecular Dynamics and Finite Element Analysis in order to simulate a wide variety of complex nanoscalesystems. Our goal was to increase the parallel performance of AtC, thereby making larger simulations more computationally feasible in multicore environments. To this end, we designed and implemented parallel matrix multiplication algorithms and distributed Finite Element data and calculations across processors more intelligently.
A User Interface for VMware’s VProbes Software
Liaisons: Ricardo Gonzalez, Radu Rugina, Avi Shai
Advisor: Christopher A. Stone
Students: Amelia Nybakke, Max Kukartsev (PM-S), Milo Toor, Sarah Johnson (PM-F)
VMware, Inc. is a leading developer of virtual machine technology. In order to diagnose software running within the virtual setting, VMware provides a script-based instrumentation technology called VProbes. However, this technology has a steep learning curve and requires the user to be familiar with the underlying system of VMware’s software. In our Clinic project we made VProbes accessible to non-programmers by exposing some of its common functionality via a web-based user interface.
Walt Disney Animation Studios
Interactive Documentation Collaboration System
Liaisons: Dan Candela, Chuck Tappan, Lawrence Chai ’88/89
Advisor: Robert Keller
Students: Beryl Egerter, Julius Elinson (PM), Jessica Hester, August Toman-Yih
Artists and developers at Walt Disney Animation Studios work with rapidly evolving internal software and complex commercial packages. Staying current with new features, best practices, and studio-specific workflows can be challenging. Users frequently have questions about software capabilities or discover aspects that would be useful to their colleagues. However, there formerly was no effective means of making inquiries or sharing such information. We have developed CPlane, a program that will enable users to create and share this documentation easily.
The Aerospace Corporation
Low Power Radar for Debris and Object Detection on a Picosat
Liaisons: Samuel S. Osofsky ’85, Andrew Y. Chin ’07
Advisor: Ruye Wang
Students: Steven Hang (TL-S), Alec Storrie-Lombardi (TL-F), Kevin Samrick (F), Tyler Smelt, Sarah Lichtman, Sarah Sedky (S)
The Aerospace Clinic team commits to design, build, and demonstrate a low-power, compact object detection radar system for integration in a Picosat cube satellite. The scope of the project covers all aspects of radar design, including radio frequency analysis and hardware design, digital hardware design, and signal processing algorithms. The final deliverable is a prototype of the system that satisfies the design constraints of size, power, and minimum range.
Adapting Brain Based Prosthetic Control for Everyday Use
Liaisons: Dr. Geoffrey Meltzner ’95, Dr. Troy Lau
Advisor: Chris Clark
Students: Andrew Loeb (TL-S), Kate Crawford (TL-F), Kyle Carbon, Chris Lauinger, Josh Edelman (S), Madeline Goldkamp (F)
Brain Machine Interfaces (BMI) have the potential to radically alter how humans interact with modern technology. Unfortunately, the large majority of BMIs are only effective under ideal, laboratory conditions. Using a commercial neuroheadset, the goal of this project is to reliably detect and identify these signals between different test subjects under ideal and non-ideal conditions for the eventual control of a prosthetic limb.
Barling Bay, LLC
Infrared Asset-Tracking System
Liaisons: Michael Joost ’72, David Gissentanna
Advisor: Peter Gough
Students: Brett Burley (TL), Michael Bowerman, Alexandre Paul (EX), Kerry Chin, Nicole Yu, Li Yip Koh (F), Brent Stapleton (F)
Asset-tracking is the process of tracking items for inventory management. Common forms of asset tracking include radio frequency identification (RFID) and barcode scanners. The Barling Bay Clinic team is designing and evaluating a system similar to RFID that implements infrared rather than radio signals for communication. The system can be easily installed with receivers communicating through a building’s existing powerline, accessible through any wall outlet, and is more affordable than other similar solutions.
Vacuum Augmented Pump for Infusion at Reduced Expense
Liaison: Bob Butterfield
Advisor: Elizabeth Orwin
Students: Thomas Carey (TL-S), Divina Allan (TL-F), Aaron Atzil, J Emery (S), Katherine Anderson (S), Jason Bluhm, Alice Zhang (S), Michelle Seguin (F)
To reduce tubing deformation due to repeated compression by a peristaltic IV pump, the team first characterized the behavior of several PVC IV tubings of various durometers and dimensions under atmospheric and multiple vacuum conditions. Using the results of this analysis, the team designed a peristaltic pump with an integrated vacuum chamber that reduced tube deformation by applying a negative pressure to the exterior of the tubing.
Designing an Ethernet Testing Device and Android Application
Liaison: Johnny Shum
Advisor: Ruye Wang
Students: Thomas Specte (EX-TL),Max Friefeld, Stephen Cefali, Sean Velazquez(S), Cierra Owens (S), Sami Mourad (F), Vyas Savanur (F)
The project consists in creating a handheld device capable of troubleshooting any router to assist DIRECTV technicians in installing products in the customer’s house. That device transmits the test results over Bluetooth to an Android phone running an application that the team will design. In addition, the team will evaluate whether a wireless device can be used to reliably approximate the wireless capabilities of another wireless device which has more antennas.
Eaton Corporation, LLC
Aircraft Nose Wheel Steering Control System
Liaisons: Galen Chui ’05, Mark Abrams, Olavo Jordao
Advisor: Ziyad Duron
Students: Nash Witkin (TL-S), David Marangoni-Simonsen (TL-Fall), Chet Corcos, Kevin Leyden, Lauren Nishizaki (S), Ray Hurwitz (F)
Aircraft nose wheel steering systems are currently developed for each set of aircraft hardware using a tuning process that can take months due to the precision required by federal regulations. Eaton is interested in developing a methodology for designing and tuning of nonlinear control algorithms that is modular across all aircraft platforms with a simplified tuning process. The team will present their algorithm recommendation, based on analysis and testing results baselined against the current algorithm, and a method to expedite algorithm development.
Division by Fused Multiply Adds
Liaison: Dr. Warren Ferguson
Advisor: Josef Spjut
Students: Dylan Stow (TL), Carl Pearson, Jeffrey Steele (F), Dong-hyeon Park (S), Gurchetan Singh (S), Adam Parower (F), Shreyasha Paudel (F)
Floating point division is a common arithmetic operation in scientific and high-performance computing.
This high-performance work is targeted by Intel’s Many Integrated Core architecture: many small x86 cores on a single chip. It is our goal to design a division algorithm for this architecture. To keep the cores small and efficient, the algorithm must run in a constant number of cycles and take advantage of existing floating-point hardware modules; specifically addition and multiplication.
Interactive Projected Display System
Liaison: Muntaquim Chowdhury, Abhay Dharmadhikari
Advisor: Karl Wang
Students: Katie Hauser (TL-S), Ayyappa Vemulkar (TL-F), Lauren Lieu, Christine Rhee, David Derry (S), Courtney Keeler (S), Rohaine Hsu (F), Soh Myoung Koo (F)
The Intel Touch Display Team has designed and built a human-computer interface system that allows users to interact with projected displays and other surfaces through mouse emulation and gesture tracking. The system is portable, userfriendly, and flexible for use in a variety of applications. This wireless alternative computer control promotes information sharing in an intuitive way for many environments.
Los Alamos National Laboratory
Monitoring and Management Strategy for Liquid Cooling of LANL’s Data Center
Liaison: Josip Loncaric
Advisor: Erik Spjut
Students: Leslie Forrester (TL-S), Moriah Gelder (TL-F), James Anderson, Andrew Hilger, Samantha Kobus (F), Tuan Nguyen (S)
The Los Alamos National Laboratory (LANL) Clinic team designed a strategy to minimize water usage of the laboratory’s server cooling system while limiting maintenance costs due to scaling and corrosion. During the Fall semester, the team evaluated five design options that reduce water use in the cooling system. The Spring semester goals included detailed investigation of the most promising options identified during the Fall and design of a pilot plant to test proposed filters and control strategies.
Northrop Grumman Corporation
Correcting a Microelectromechanical Systems (MEMS)-Based InertialMeasurement Unit (IMU) for Temperature Variations
Liaisons: Sam Dimashkie, Eugene Elbert, Steven M. Kim, Chandrakant Patel, MS EE, Ragini Saxena, Ph. D
Advisor: Katherine Candler
Students: Karen Beaty, Kevin Kim (TL-F), Tiffany Liu (TL-S), James McConnaughey (F), Maggie Thompson (F), Chanel Chang (S), Brett Manning (S)
Northrop Grumman is investigating the possibility of using commercially available microelectromechanical systems (MEMS) based inertial measurement units (IMUs). However, the performance of these MEMS devices degrades in thermally dynamic environments. The Northrop Grumman Clinic Team aims to develop, test, and compare two methods to address the thermal sensitivity of inertial sensors. One method actively controls the temperature of the IMU; the other applies a thermal compensation algorithm to the raw output data of the sensors.
Mechanical Part Handling and Sorting for Video Inspection
Liaisons: Cameron Field-Eaton, Benjamin Howard ’06, Ron Tsan
Advisor: Lori Bassman
Students: Hannah Groshong (TL-S), J Brill (TL-F), Richard Hsieh, Grant Ukropina, Emma Bodell (S), Stephen Pinto (S), Ginah Han (F), Samuel Yim (F)
The Parco Clinic Team has worked to re-engineer the O-ring separation unit of Parco’s video inspection machine. The goal has been to optimize the process of guiding O-rings from a part hopper into a single file line, thus improving overall part throughput of the system. After prototyping several design alternatives during the fall semester, the team selected and pursued a final design in the spring and has integrated it into Parco’s video inspection machine.
Shell Exploration and Production, Inc.
Implementation of Safety Systems to Eliminate Personnel Injuries at Drilling and Completion Sites
Liaisons: Jose Mota ’95, Lake Johnson
Advisor: Peter Gough
Students: Kenny Buyco (TL-S), Logan Kroloff (TL-F), Jonathan Schwartz, Brady Sutton, Emma Frederick (F), Kate Kryder (S), Jennifer Phuong
The HMC Shell Oil Clinic Team used RFID (Radio Frequency Identification) technology to develop a safety system to eliminate personnel injuries on drilling and completion sites due to moving vehicles. An RFID-based safety system was purchased from a commercial vendor, was tested and characterized by the team, and a prototype of a working system was developed to fit the specific needs of Shell Oil.
Skyline Eco-Adventures, LLC
Speed Limiting or Adjustable BrakingTrolley
Liaison: Mike Teske
Advisor: Lori Bassman
Students: Diana Chen (TL-S), Michelle DeRienzo (TL-F), James Best (S), Brian Cheney (S), Kate Spiesman (S), Neil Pearson (F), Katie Shepherd (F), Kyle Siegel (F)
The team designed, fabricated, and tested a speedlimiting trolley for use on Skyline Eco-Adventures’ ziplines. The trolley relies on fluid drag from an adjustable rotary damper to reduce riders’ speeds to within a consistent range for a variety of ziplines. The trolley system is effective for various rider weights and weather conditions and requires minimal adjustment by the operator.
Digital Driver and Front End for Turnable Diode Laser Spectroscopy
Liaisons: Mathias Schrempel, Keith Helbley, Bill Boyle
Advisor: Qimin Yang
Students: Johnathan Chai (TL-S), Max Korbel (TL-F), Katie Vinnedge, Alexandre Asselin, Joshua Vasquez (S), Tyler Robinson (F)
The SpectraSensors Clinic team is working to develop an embedded system for a gas analyzer product line. The analyzers use tunable diode laser absorption spectroscopy to detect gases, including moisture, hydrogen sulfide, and carbon dioxide particles, at the scale of parts per million. The success of this project will enable SpectraSensors to replace their existing analog electronic systems with more reliable digital components.
Waste Reduction and Green Solutions for Chafing Fuel Products
Liaisons: Mike Pacharis, Joe Lepe, Shane Peck
Advisors: Kash Gokli, Erik Spjut
Students: Martha Cuenca (TL-S), Carlo Vaccari (TL-F), Alyssa Siegman, Mia Cooledge (S), Kevin Lau (S), Angela Medina (S), Anthony Chung (F), Victoria Feudo (F)
SternoCandleLamp is the nation’s #1 chafing fuel supplier. Their liquid chafing fuel cans are selfcontained standalone fuel sources designed to keep food at safe temperatures in chafing dishes. These cans are usually discarded after one use and not recycled. Additionally, the cost of the can constitutes a large portion of the product’s overall production cost. To address these issues, the team designed a means to reduce chafing fuel can waste without compromising current product performance, while also minimizing lifecycle cost.
Cold Flow Model of a Fluidized Bed Reactor
Liaison: Kevin Mills, PE
Advisor: Mary Cardenas
Students: Matthew Kweon (TL-S), Ilona Phipps-Morgan (TL-F), Sydney Hanson, Monica Hwang, Edward Ruan, Alexandra Wright (S)
Fluidized bed reactors convert carbonaceous solids to syngas, with minimal environmental impacts. The Technip Clinic team designed, built, and tested a nominal 1/6th6th-scale cold flow physical model of a fluidized bed reactor and a filter system. The team took measurements measured of air flow and system static pressures within the system to determine the effects of changing the air flow rate with a variety of solid particles. Technip will use this information to verify and tune their computational model of a reactor.
ARINC Standard 830: Air-Ground Information Exchange
Liaisons: Wolfram Sonnenberg, Claire Robinson ’11
Advisor: Karl Wang
Students: Garrett Menghini (TL-S), Will Ferenc (TL-F), Kenny Huang, Michelle Liu, Austin Chen (S), Emily Cheng (S), Carolina Reyes (F)
The Aeronautical Radio, Inc. (ARINC) Standard 830, also known as Air-Ground Information Exchange (AGIE), defines an internet-protocol-based framework for exchanging data between aircraft and ground. AGIE standardizes interfaces across vendors and airlines to create a more efficient aircraft communication network. The Teledyne Controls Clinic team has implemented and tested a proof-of-concept design to validate, and recommend amendments to, the AGIE standard.
Immersive 3D Audio Game Development Kit
Liaison: Sourabh Ravindran, PhD
Advisor: Josef Spjut
Students:Allison Card (TL-F), Kacyn Fujii (TL-S), Hannah Kastein, Paula Ning, Stephanie Fawaz (S), Matt Tambara (F)
The goal of the Texas Instruments (TI) Clinic project was to design an open-source game development
kit (GDK) comprised of the hardware platform and software framework required to create a portable immersive gaming experience. The system uses TI hardware and 3D audio algorithms to enable development of novel gameplay on a mobile platform. To showcase the capabilities of the GDK, the team developed an immersive Android demonstration.
Warner Bros. Entertainment Inc.
Sunlight Concentrator from Repurposed DVD and Blu-Ray Discs
Liaisons: Vicky Colf ’95, Patrick Harman, Lewis Ostrover, Kim Vu
Advisor: Adrian Hightower
Students: Crystal Bong, Samantha Ipser, Kim Kilday, Liya Temin, Lisa Lam, Sun Hwi Bang
Through initiatives such as Warner Bros.’ Disc-to-Digital program, consumers are converting their Blu-ray and DVD discs to cloud-based media. Warner Bros. would like to give these physical discs a “second life” for another beneficial application. Our project includes evaluating the disc properties and determining their potential for solar concentration applications. The team, using this analysis, will design and develop a water purification system.
Zodiac Aerospace –Zodiac Water & Waste Systems
Characterization and Evaluation of Template Assisted Crystallization Scale Prevention Systems
Liaisons: Razmik Boodaghians, Christina Ortolan
Advisor: Mary Cardenas
Students: Liana Boraas (TL-F), Abby Korth (TL-S), Say Young Cook, Julie Zhang, Alex Flake (S), Por Katanyutanon (S), Emily Ross (F)
The purpose of this project was to characterize template assisted crystallization media and to evaluate the effectiveness of the media in the prevention of scale deposits, specifically on heating appliances found in aircraft galleys. The characterization was accomplished using Fourier-transform infrared spectroscopy and the effectiveness was evaluated through a variety of batch and continuous process tests conducted in a test rig designed to simulate aircraft galley conditions.
Aerosol Dynamics, Inc.
A Portable, Tippable Airborne Particle Counter
Liaisons: Dr. Steve Spielman ’86, Dr. Susanne Hering
Advisors: Nancy Lape, Tom Donnelly
Students: Brad Perfect (TL-S), Bennett Naden (TL-F), Jake Leonardis, Tracey Luke, Brianna Thielen
Aerosol Dynamics has patented a novel process called diffusive mixing that could be used to grow water droplets around airborne nanoscale particles and improve the efficiency of aerosol counters. The Clinic team’s project is to develop computational models to simulate diffusive mixing, and then design and build a prototype aerosol counter which implements the diffusive mixing technique.
Lawrence Livermore National Laboratory (LLNL)
A Tunable Resonant Microwave Cavity for the Axion Dark Matter eXperiment
Liaisons: Gianpaolo Carosi ’00
Advisors: Richard Haskell, Katherine Candler
Students: Jean-Claude de Sugny (S), Lorcan McGonigle (F), Tyler Ochiai, Jesse Streitz, Rebecca Streitz, Will Villagomez (TL)
The LLNL Clinic Team has simulated, designed, built, and tested a large-volume, high-frequency
resonant microwave cavity to be used in the Axion Dark Matter eXperiment (ADMX). Multiple conductive tuning posts within the cavity are used to manipulate the characteristic modes of the system, allowing the cavity to potentially detect axions, a possible candidate for dark matter, by tuning the cavity resonant frequency.
Sandia National Laboratories
Measuring Nanoparticle Permittivity in Colloidal Suspension
Liaison: Dr. Todd Monson
Advisors: Adrian Hightower, Richard Haskell
Students: John Eom (TL-F), Michael Loy (TL-S), Eric Anderson, Christopher Gage, Daniel Contreras (F), Frances Su (S), Mitul Verma (S)
The Sandia National Laboratories Clinic Team at Harvey Mudd College has characterized the permittivity of barium titanate particles in colloidal suspension as a function of primary particle size, synthesis method, and surfactant choice using electrochemical impedance spectroscopy. To accomplish this goal, the team has built a sample holder to contain the suspension, developed a procedure to extract nanoparticle permittivity from the suspension permittivity, and integrated both of these deliverables into a testing procedure.
Trivec Avant Corporation, a COBHAM Company
Developing a Compact, Planar, Ultra-Wideband Antenna
Liaisons: David Macy, John Fenick
Advisor: John Molinder
Students: Trevor Apple (TL-S), Matt Goodwin (TL-F), Parker Martin, Diana Mar (S), Douglas Hu (F), Brett Mills (F)
Most antennas with wideband range and high directionality are three dimensional in shape, with spiral and bicone antenna geometries as notably useful and common examples. A three dimensional shape makes antennas non-ideal for aerospace applications. Trivec Avant asked the Clinic team to develop a planar, ultra-wideband antenna (225MHz-2000MHz) with return loss below -5dB and directivity at azimuth above -6dBi across the entire frequency band.
Intel Corporation with Technion University, Israel
Semi-Automated C++ Code Transformations
Liaisons: Dr. Ajit Dingankar, Andrey Ayupov, Bob Condon, Thomas Nagler
Advisors: Ben Wiedermann, Dr. Ayal Zaks (Technion)
Students: Jessi Peck (PM), Jeff Hemphill, Gary Lent (POM), Gal Dalal (Technion), Nir Greshler (Technion), Gal Greshler (Technion)
Intel Corp. designs specialized hardware modules to repeatedly execute data processing algorithms. These algorithms are initially written and tested in C++. Experts then develop descriptions of hardware modules using SystemC (a C++ library for describing and simulating hardware) using the algorithms as reference. The transformation from general C++ to SystemC is slow and repetitive, so we designed a tool that automates parts of the process.
Oregon Biomedical Engineering Institute (OBEI) with Kogakuin University, Japan
Decontamination of Radioactive Isotopes from Skin
Liaisons: Kenton Gregory, M.D; Teresa Pineda’06, Jian Guo, PhD, Lisa Lucchesi, M.S.
Advisors: Elizabeth Orwin, Masanori Shiomi (KU), Sebastian Brooke (KU)
Students: Braden Neufeld (TL-S), J Emery (TL-F), Brianna Posadas, Jaclyn Olmos-Silverman, Maya Johnson, Meghan Jimenez (S), Naohito Banzai (KU), Ryosuke Yokosawa (KU), Yusuke Watabe (KU)
As the use of nuclear technology continues to advance and expand around the world, the risk of accidental exposure to radioactive isotopes grows for civilian and military workers alike. The goal of this project was to create a portable device to quickly and effectively decontaminate skin that has been exposed to ionizing radiation. Working jointly with Kogakuin University in Tokyo, the team designed several prototypes and developed a method for evaluating their effectiveness in removing contaminants from skin.
E. & J. Gallo Winery
Livingston Cooperage Problem
Liaisons: Joseph Allen, Deepak Tirumalasetty
Advisor: Susan Martonosi
Students: Eric Autry, Corinne McElwain, Stephanie Porter, Elizabeth Schofield (PM)
E. & J. Gallo Winery has requested a program to evaluate the size, type, and quantity of new tanks required to accommodate increased volume and variety of wine production at their Livingston winery facility. Our team focused on modeling the allocation of storage tanks to a full harvest of different wine types, with a target solve time of only a few minutes. Our program recommends new tanks to purchase based on the projected harvest, costs of varying tanks, and quality constraints.
InstaMed Communications, LLC
Estimating Health Care Prices Using Historical Data
Liaisons: Brian Bentow ’05, Chris Seib ’00
Advisor: Talithia Williams
Students: Matt Hin (PM-S),Peter Loftus (PM-F), Leverett Morgan, Lisbeth Santana
The 2012-2013 InstaMed Clinic Project seeks to implement and evaluate algorithms that use past healthcare claims in order to provide prompt cost estimates of medical services for doctors and patients. The team approaches the project using a simple statistical, heuristic approach as well as more advanced machine learning archetypes of decision trees and neural networks. The team also intends to provide InstaMed with a platform suitable to evaluate the accuracy, precision, and versatility of algorithms.
Jane Street Capital
Analyzing the Effects of Market Legislation on Market Behavior
Liaison: Andy Niedermaier ’04
Advisor: Weiqing Gu
Students: Devin Bowers (PM), Matt Johnson, Jeehyun Kim, Matt Toal
Recent events have prompted the Securities and Exchange Commission to institute new regulations to prevent extreme market behavior. These regulations take effect for short periods of time when individual securities rapidly change in price. However, the impact of these regulations on market behavior has not yet been extensively studied. Our project is to apply quantitative techniques on high-frequency market data to determine the impact of these rules on securities.
Shell Exploration and Production Inc.
Optimizing Drilling Rate with Machine Learning
Liaisons: Xianping (Sean) Wu
Advisor: Rachel Levy
Students: Kyle Chakos, Sam Gray, Xanda Schofield (PM), John Wentworth
Shell E&P spends millions of dollars every day on offshore drilling operations. To monitor this process, a substantial amount of drilling data is collected and transmitted to an onshore operations center in real time. The team worked to find a method to analyze the aggregated data to determine for similar rigs when drilling is not proceeding at an optimal rate. The algorithm implemented identifies these suboptimal conditions and then proposes changes of drilling parameters to optimize drilling speed.
Southern California Gas Company
Manual Meter Reading Cost Minimization
Liaisons: Brad Davis, Rick Jefferson, Ron Johnson, Gary Mgeryan, Hugo Rimbert
Advisor: Lisette DePillis
Students: Ben Gross, Katarina Hoeger (PM), Kevin Varela-O’Hara, Tim Yee
Southern California Gas (SCG) Company is converting manually read meters to automated meters, obviating the need for employees to visit and read gas meters in person. As clusters of meters throughout Southern California become automated over time, the number of remaining manually read meters will diminish until all meters have become automated. Our team is developing a tool that uses the locations of the remaining manually read meters to generate new cost-minimizing meter reading routes.