CERS 2013 - College of Engineering Research Symposium

Transcription

PENNSTATE
10th Annual
College of Engineering Research Symposium
~ An initiative of the Engineering Graduate Student Council ~
i
CERS 2011
CERS
2013
Students Industry
Industry Research
Research
Students
Tuesday, April 2, 2013
The Nittany Lion Inn
http://cers.engr.psu.edu
TIME
SYMPOSIUM SCHEDULE
VENUE
8:00 a.m.
Registration & Reception
Atrium
8:30 a.m.
Opening Remarks
Ballroom C
Mohammad Heidarinejad
Chair, College of Engineering Research Symposium 2013
Dr. Julio Urbina
Faculty Advisor, Engineering Graduate Student Council
Associate Professor of Electrical Engineering
9:00 a.m.
Morning Presentations
Energy & The Environment
Material Science & Mechanics
Biomedical Sciences
Simulation & Mathematical Modeling
Ballroom A
Ballroom B
Ballroom D
Ballroom E
10:00 a.m.
Morning Poster Session & Professional Networking Session
Atrium
11:00 a.m.
Morning Presentations Resume
Noon
Lunch
Ballroom C
Carl Patten III
President, Engineering Graduate Student Council
Dr. David Wormley
Harold & Inge Marcus Dean of Engineering
Keynote Speaker: Mr. Brian Schratz (M.S., E E)
Telecom Systems Engineer, Jet Propulsion Laboratory (JPL), NASA
“To Mars on a Collision Course”
1:00 p.m.
Professional Networking Session
1:30 p.m.
Afternoon Presentations
Atrium
Computational Engineering
Systems, Control & Communications
Future Technology & Advanced Design
Ballroom A
Ballroom B
Ballroom D
Ballroom E
2:30 p.m.
Afternoon Poster Session & Professional Networking Session
Atrium
3:30 a.m.
Afternoon Presentations Resume
4:45 p.m.
Closing Remarks and Awards
Closing Remarks
Dr. Renata Engel
Associate Dean for Academic Programs, College of Engineering
Awards Ceremony
Dr. Anthony Atchley
Associate Dean for Research & Administration, College of Engineering
Ballroom C
CONTENTS
Message from the Symposium Chairs .....................................................................2
Keynote Speaker ......................................................................................................3
Symposium Organizers ............................................................................................4
Demographic Distribution of Paper and Poster Submissions ..................................6
Demographic Distribution of Paper and Poster Reviewers .....................................7
Session Schedule ......................................................................................................8
Poster Session ........................................................................................................10
Paper Abstracts ......................................................................................................14
Session MA, Energy & The Environment .................................................14
Session MB, Materials Science & Mechanics ...........................................15
Session MD, Biomedical Sciences ............................................................16
Session ME, Simulation & Mathematical Modeling .................................18
Session AA, Computational Engineering ..................................................19
Session AB, Systems, Control & Communications ...................................21
Session AD, Future Technology & Advanced Design ..............................22
Session AE, Simulation & Mathematical Modeling ..................................24
1
MESSAGE FROM THE SYMPOSIUM CHAIRS
Mohammad Heidarinejad
Chair
Soumalya Sarkar
Co-Chair
On the behalf of Engineering Graduate Student Council (EGSC), we would like to welcome you to 10th
Annual College of Engineering Research Symposium (CERS 2013). CERS is a student-initiated,
student-run event that provides a networking opportunity for undergraduate students, graduate students,
and industry representatives. CERS 2013 showcases the cutting-edge interdisciplinary and multidisciplinary research that is being conducted at Penn State in paper and poster formats.
We are pleased to report that this year’s symposium includes 47 paper presentations (a 47% increase over
last year) and 60 poster presentations (a 107% increase). Architectural Engineering had the highest
contribution rate for paper submissions (9 papers), and Mechanical Engineering students had the highest
poster contribution rate (14). We also would like to recognize the 33 faculty and 37 student reviewers,
with Architectural Engineering and Mechanical Engineering the majority of faculty reviewers (6) and
students (10) from Mechanical Engineering, respectively.
We are pleased to have Brian Schratz return to Penn State as our keynote speaker. His presentation is
entitled “To Mars on a Collision Course.” Mr. Schratz received his Bachelor of Science degree, with
Honors, in Electrical Engineering (SP06), and his Master of Science degree in Electrical Engineering
(FA08). He is currently a Telecom Systems Engineer at the Jet Propulsion Laboratory, and was
instrumental in the successful landing of the Mars Science Laboratory (MSL) Curiosity Rover. MSL
exhibits will be available all day for students to investigate.
In addition to Mr. Schratz, we would like to thank our Titled Sponsor, West Pharmaceutical Services;
Norfolk Southern and Intel, our Titanium Sponsors; and, Philips, our Copper Sponsor. We would like also
to thank the Institute of Electrical and Electronics Engineers (IEEE) for sponsoring two awards that
recognize student members of the Penn State Student Chapter of IEEE. In addition, we would like to
express our appreciation to the University Park Allocation Committee (UPAC) and the College of
Engineering (COE) for their continuing support of CERS. We value your sponsorship and appreciate your
interest and participation in CERS 2013.
We would also like to thank Dr. Julio Urbina (EGSC Faculty Advisor) and Ms. Terry Reed
(Administrative Liaison) for their continuing support throughout the planning process. A special note of
thanks goes to all of the faculty and student contributors to the event – as academic and research
supervisors, members of the audience, paper reviewers, and judges. Last, but not least, we would like to
recognize the creativity our EGSC colleagues and acknowledge them for their commitment and
dedication to ensure the success of CERS 2013.
We would like to thank all of the supporters and participants of CERS 2013. We hope that you enjoy the
symposium and that you will join us again next year.
2
KEYNOTE SPEAKER
Brian Schratz received his Bachelor of Science degree, with Honors, in Electrical Engineering (SP06), and his
Master of Science degree in Electrical Engineering (FA08), both from Penn State. While at Penn State, Mr. Schratz
was a Fellow in NASA's Graduate Student Research Program. As a student, he led and/or developed instruments for
several balloon, rocket, and satellite projects. He was a member of Tau Beta Pi, the National Engineering Honor
Society, and Eta Kappa Nu, the International Honors Society for Electrical and Computer Engineers. Prior to joining
Jet Propulsion Laboratory (JPL) in 2009, Mr. Schratz completed a Fulbright fellowship in Norway. Mr. Schratz was
the lead engineer for the Entry Descent and Landing (EDL) telecommunications on NASA's Mars Science
Laboratory (MSL) Mission, which safely delivered the “Curiosity Rover” to the surface of Mars on August 6,
2012.* He is currently a Telecom Systems Engineer at the Jet Propulsion Laboratory, and was instrumental in the
successful landing of the Mars Science Laboratory (MSL) Curiosity Rover. MSL exhibits will be available all day
for students to investigate. A brief sketch of his talk follows:
“To Mars on a Collision Course”
On the night of August 5, 2012*, JPL engineers at NASA’s JPL in Pasadena, CA anxiously monitored the
EDL events of MSL Mission. Ultimately, the MSL spacecraft that carried the Curiosity rover succeeded in
every step of the most complex landing ever attempted on Mars, including the final severing of the bridle
cords and flyaway maneuver of the rocket-powered sky crane. During the entire landing sequence, Curiosity
was constantly transmitting data to three orbiting Mars spacecraft as well as to tracking stations back on
Earth—relaying its progress every step of the way. After almost three months on the surface, Curiosity has
already returned fascinating images and data from the Red Planet. As a member of the MSL EDL team, and
the engineer responsible for EDL telecommunications, Mr. Schratz will present an overview of the MSL
mission, EDL telecom, and a first-hand account of what it was like to work in mission control that night.
* Note: Technically Curiosity Rover landed at 10:32pm Aug 5, but most sources quote Aug 6, since that was UTC time, and East Coast time.
3
SYMPOSIUM ORGANIZERS
Engineering Graduate Student Council
CERS 2013 Executive Committee
Mohammad Heidarinejad, Chair (Ph.D., M E)
Soumalya Sarkar, Co-Chair (Ph.D., M E)
EGSC Executive Committee
Carl Patten III, President (M.S., ESMCH)
Marie Coralie Brutus, Secretary (M.S., I E)
Freddy Galindo, Webmaster (Ph.D., E E)
Scott Rager, Vice President (Ph.D., CSE)
Lu “Kate” Jia, Treasurer (M.S., I E)
Paper and Poster Reviewers
Faculty/Staff
Student
Mohamed Abdel-Mageed (Research Assistant,
ElectromagneticsCommunications Lab)
Siddharth Advani (Ph.D., CSE)
Steven Ayer (Ph.D., A E)
Alex Bina (B.S., BIO E)
Marie Coralie Brutus (M.S., I E)
Yan Chen (Ph.D., A E)
Tabitha Sprau Coulter (Ph.D., A E)
Adhiraj Dasgupta (Ph.D., M E)
Seyed Safa Eslambolchi (Ph.D., A E)
Zhaohu “Jonathan” Fan (Ph.D., I E)
Freddy Galindo (Ph.D., E E)
Pelin Gultekin (Ph.D., A E)
Mohammad Heidarinejad (Ph.D., M E)
Ming Shih Huang (Ph.D., E E)
Runkun “Justin” Jiang (Ph.D., E E)
Dane Kelsey (M.S., ENV E)
Devesh Kumar Jha (Ph.D., M E)
Harshad Kunte (M.S., M E)
Vanessa Lanas Medina (M.S., ENV E)
Michael McPhail (Ph.D., BIOE)
Atefeh Mohammadpour (Ph.D., A E)
Vivek Raja Raj Mohan (Ph.D., M E)
Shaileshachandra Pandey (Ph.D., E E)
Anjum Parkar (Ph.D., BIOE)
Carl Patten III (M.S., ESMCH)
Scott Rager (Ph.D., CSE)
Parichehr Salimifard (M.S., A E)
Soumalya Sarkar (Ph.D., M E)
Jesse Scott (Ph.D., CSE)
Azar Shahraz (Ph.D., CH E)
Yajuvendra Shekhawat (Ph.D., M E)
Andreas Thorsen (Ph.D., I E)
Nurali Virani (M.S., M E)
Vinod Vishwakarma (Ph.D., M E)
Wenqing Yao (Ph.D., NUC E)
Yin Ting “Tim” Yeh (Ph.D., BIOE)
Qingtao Yu (Ph.D., M E)
Xiao Yuan (Ph.D., A E)
Martha Butler (CEE)
Justin Brown (BIOE)
Wallace Catanach (SEDTAPP)
Chia-Jung Chang (IME)
Dong Hee Choi (A E)
Corina Drapaca (ESM)
Hamideh Etemadnia (College of Ag Sciences)
Massimiliano Fratoni (MNE)
Vikash Gayah (CEE)
Chris Giebink (E E)
Esther Gomez (CH E)
Xiang Gu (E E)
Dong Hwa Kang (A E)
Abdou Jallow (A E)
Akhlesh Lakhtakia (ESM)
Sanghoon Lee (A E)
Robert Leicht (A E)
Eric Marsh (MNE)
Richard Meyer (BIOE)
Prasenjit Mitra (IST)
Scarlett Miller (MNE)
Kamesh Madduri (CSE)
Vishal Monga (E E)
Jason Moore (MNE)
Dragana Nikolic (A E)
Zoubeida Ounaies (MNE)
Christopher Saldana (IME)
Howard Salis (ABENG)
Samia Suliman (ESM)
Bernhard Tittmann (ESM)
Tong Qiu (CEE)
Tak Sing Wong (MNE)
Siyang Zheng (BIOE)
4
Session Chairs
Faculty
Corina Drapaca (ESM)
Hamideh Etemadnia (College of Ag Sciences)
Massimiliano Fratoni (MNE)
Xiang Gu (E E)
Abdou Jallow (A E)
Sanghoon Lee (A E)
Jason Moore (MNE)
Christopher Saldana (IME)
Samia Suliman (ESM)
Julio Urbina (E E)
Samia Suliman (ESM)
Student
Jesse Scott (Ph.D., CSE)
Freddy Galindo (Ph.D., E E)
Pelin Gultekin (Ph.D., A E)
Runkun “Justin” Jiang (Ph.D., E E)
Harshad Kunte (M.S., M E)
Michael McPhail (Ph.D., BIOE)
Atefeh Mohammadpour (Ph.D., A E)
Anjum Parkar (Ph.D., BIOE)
Carl Patten III (M.S., ESMCH)
Scott Rager (Ph.D., CSE)
Parichehr Salimifard (M.S., A E)
Soumalya Sarkar (Ph.D., M E)
Azar Shahraz (Ph.D., CH E)
Yin Ting “Tim” Yeh (Ph.D., BIOE)
Acknowledgments
Special Thanks to Our Industry Sponsors:
West Pharmaceutical Services
Norfolk Southern
Intel
Philips
Title Sponsor
Titanium Sponsor
Titanium Sponsor
Copper Sponsor
University Sponsors:
University Park Allocation Committee, especially Jesse Scott, Elise Howard, Ryan Kocse, Galen Chelko, and Jay
Arcuri
College of Engineering
and
Julio Urbina, EGSC Faculty Advisor
Terry Reed, Administrative Liaison, College of Engineering
Kurt Behers & Mark Raffetto, Engineering Copy Center
Chris Keeler and Linda Lykens, Multimedia & Print Center
The Nittany Lion Inn Staff
We would like to highlight the interdisciplinary and cross-disciplinary collaborations reflected by the
program participants, as well as the external contributors as noted below:
Applied Research Laboratory (ARL), Astronomy and Astrophysics, Biomedical Engineering Institute, College of
Agricultural Science, Environmental Systems Engineering, College of Earth & Mineral Sciences, Hershey Medical
School, Materials Research Institute (MRI), Meteorology, College of Earth & Mineral Sciences, Department of
Physics
We would like to thank the Institute of Electrical and Electronics Engineers (IEEE) for sponsoring two of this
year’s awards to highlight the scientific achievements of the Student Chapter members of IEEE at Penn
State.
External Contributors:
CWI (the Netherlands), George Mason University, Georgia Institute of Technology, Johns Hopkins University,
Ozyegin University of Istanbul (Turkey), UCLA, University of New Hampshire, University of Vermont, University
of Maryland, University of Stellenbosch (South Africa), U.S. Arid Land Agricultural Research Center, USDA,
Pasture Systems & Watershed Management Research
5
Demographic Distribution of Paper Submissions
Number of Paper Submissions
16
14
12
10
8
6
4
2
0
A E
AERSP
BIOE
C E
CH E
CSE
E E
E MCH
ENV E
ESMCH
IM E
M E
Major
Graduate Paper
Undergraduate Paper
Demographic Distribution of Poster Submissions
16
Number of Poster Submissions
14
12
10
8
6
4
2
0
A E
ABE AERSP BIOE
C E
CH E
CSE
E E
E MCH ENV E ESMCH IME
Major
Graduate Poster
Undergraduate Poster
6
M E NUC E Other
Demographic Distribution of Faculty Paper and Poster Reviewers
16
Number of Faculty Reviewers
14
12
10
8
6
4
2
0
A E
ABENG
BIOE
CEE
CH E
CSE
E E
ESM
IME
MNE
Other SEDTAPP
Department
Demographic Distribution of Student Paper and Poster Reviewers
16
Number of Student Reviewers
14
12
10
8
6
4
2
0
A E
BIOE
CH E
E E
ENV E
ESMCH
Major
Graduate
Undergraduate
7
I E
M E
NUC E
Other
Sessions
9:00
9:20
M
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9:40
10:00
11:00
11:20
11:40
A
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Ballroom A
Ballroom B
Energy & the Environment
Mechanical of Materials
Effect of the Critical Temperature of Adsorbate
on Surface Compression Inside Carbon
Micropores (MA1): Ali Qajar
Improved Battery Design to Address the SelfDischarge of Lithium-Sulfur Batteries (MA2):
Mikhail Gordin
Mode-III Crack-Tip Stress Fields in Gradient
Elasticity Incorporating Surface Effect (MB1):
Alireza Ostadhossein
FASCIA: Fast Approximate Subgraph
Counting and Enumeration (MB2):
George Slota
Cold Spray Coating on Aluminum Substrates
with Nickel Encapsulated Lubricant Particles
(MB3): Maryam Neshastehriz
A Practical Heat Transfer Model for
Geothermal Piles (MA3): Omid Ghasemi Fare
Poster Session & Professional Networking Session
Bioconversion of Cellulose to Ethanol With A
Symbiotic Clostridium Phytofermentans/Yeast
Consortium (MA4): Trevor Zuroff
Building Li-S Cathodes on Multi-Scale SelfAssembly to Achieve Superb Performance
With High Areal Mass Loading (MA5):
Tianren “Terrence” Xu
Comparison of Energy Consumption
Depending on the Indoor Temperature Settings
for Three Retail Buildings (MA6):
Zahira Alhafi
Nanoporous Carbon Spheres as Active and
Selective Catalyst Supports: Synthesis and
Application (MB4):
Maryam Peer Lachegurabi
Organic Fungicides Improve Bindered
Anthracite Briquette Storage in Iron Foundries
(MB5): Dane Kelsey
Ballroom A
Ballroom B
Sessions
Systems, Control and Communications
1:30
A Phase-Lag Boundary Condition for Unsteady
Flows in Turbomachinery Applications (AA1):
Alex Wouden
Robust Map Design for Terrain-Based Vehicle
Localization (AB1): Emil Laftchiev
1:50
Automated Disassembly Sequence Planning
and Optimization (AA2): Deepak Agrawal
2:10
ExpertSeers: A Keyphrase Based Expert
Recommender for Digital Libraries (AA3):
Hung-Hsuan Chen
2:30
Passive Tailboom Vibration Control Using
Fluidic Flexible Matrix Composite (F2mc)
Tubes (AB2): Kentaro Miura
Optimal Movement Strategy Selection in
Shuffleboard With Penalty (AB3):
Joseph Mahoney
3:30
Finding Pseudo-codes and Algorithmic
Procedures in Scholarly Documents (AA4):
Suppawong Tuarob
3:50
Comparison of Cepstrum and SDF Feature
Extraction Methods for Target Detection and
Classification (AA5): Soheil Bahrampour
4:10
IP Pollution in Cloud Computing (AA6):
Jingyao Fan
8
Determination of Minimum State Preview
Time to Prevent Vehicle Rollover s (AB4):
Paul Stankiewicz
A New General and Tractable Probability
Density Function of Turbulence-Induced
Fading for Free Space Optical Systems (AB5):
Mohammadreza Amini Kashani
Fuzzy Formation Control of Autonomous
Underwater Vehicles (AB6): Brian Thomson
Ballroom D
Ballroom E
Sessions
Biomedical Sciences
Simulation & Mathmatical Modeling
9:00
Nanofiber Mediated Osteoinduction Through
Rhoa Gtpase Signaling (MD1): Tugba Ozdemir
9:20
M
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9:40
10:00
11:00
11:20
11:40
A
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Microfluidic Device With Carbon Nanotube
Channel Walls for Blood Plasma Extraction
(MD2): Yin Ting Yeh
Delivery of Chemotherapeutics using
Monodisperse PLGA Microspheres Prepared
via Electrified Liquid Spraying Technique
(MD3): Pouria Fattahi
A Tractable Two-Stage Robust Winner
Determination Model for Truckload Service
Procurement via Combinatorial Auction
(ME1): Bo Zhang
Simulated and Metered Electricity Usage of a
Cancer Institute as an Example of Healthcare
Buildings (ME2): Ibrahim Alanqar
Optimal Location of Discretionary AlternativeFuel Stations on a Tree-Network (ME3):
Seong Wook Hwang
Formation of Arrays of Giant Proteoliposomes
From Hydrogel Stamped Deposits (MD4): You
Jung Kang
Resource-Centric Patient Flow Performance
Comparisons in the Emergency Department
(MD5): Yunfei He
GIS-Based Hierarchical Multi-Objective
Supply Chain Network Design: A Proposed
Tool & Case Study (ME4): Ting Lei
Numerical Modeling of Laminar AxiSymmetric Diffusion Flames With Soot
(ME5): Adhiraj Dasgupta
Nanostructured Hydrogel for Biosensing
Applications (MD6): Gloria Kim
Framing the Building Control Problem for
Multiagent Systems (ME6): Andrew Windham
Ballroom D
Ballroom E
Sessions
Future Technology & Advanced Design
1:30
Identification of Structural Issues in Design and
Construction of Multi-Story Modular Buildings
(AD1): Issa Jafar Ramaji
Developing Adaptive Training Simulation
Based on Self-Regulated Learning in Dynamic
Control Tasks Using Fuzzy Linear Regression
(AE1): Jung Hyup Kim
1:50
2:10
2:30
Rotor Performance Enhancement Through
Evolutionary Strategies and Non-Harmonic
Deployment of Active Devices (AD2):
Frank Kody
Feasibility Assessment of Virtual and
Augmented Reality for Structural Applications
(AD3): Ryan Solnosky
Why Firms Run Out of Cash? A Dynamics
Perspective (AE2): Rattachut Tangsucheeva
Modeling of In-Cylinder Combustion in
Compression-Ignition Engines (AE3): Vivek
Raja Raj Mohan
3:30
Optical Wireless System Using Architectural
Light Sources (AD4): Reza Sadeghi
3:50
Benchmarking and Advancing Construction
Safety: An Owner’s Perspective (AD5): Seyed
Safa Eslambolchi
4:10
Improving the Utility of Product Dissection for
Early-Phase Idea (AD6): Christine Toh
9
Determination of the Optimum Solar Collector
Surface by Taking into Account of Design
Parameters of the Desiccant Wheel (AE4):
Zahra “Mona” Hatami
Investigation Effects of Operating Condition on
the Solar Collector Surface in Desiccant Wheel
Cycle (AE5): Zahra “Mona” Hatami
Breakthrough curve decomposition: A
framework for analyzing solute transport
processes in rivers, independent of numerical
transport models (AE6): Adam Wlostowski
9.
POSTER SESSION
1.
3-D Imaging of Flames in a Gas Turbine
Combustor
Ramal Janith Samarasinghe (Ph.D., M E), Bryan
Quay (Research Staff), and Domenic Santavicca
(Faculty)
2.
A Study of Product Dissection’s Impact on
Engineering Creativity
Christine Toh (M.S., I E / Ph.D., M E) and
Scarlett Miller (Faculty)
3.
Acoutically-Driven Microswimmers
Daniel Ahmed (Ph.D., ESMCH), Mengqian Lu
(Ph.D., ESMCH), Hari Muddana (Ph.D., BIOE),
Paul Lammert (Faculty), Vincent Crespi
(Faculty), and Jun “Tony” Huang (Faculty)
4.
5.
6.
7.
8.
Describing Damage to Stream Modification
Projects
Cidney Jones (M.S., C E) and Peggy Johnson
(Faculty)
10. Design of the Next Generation Mobile Health
Clinic for South Africa
Erick Froede (M.S., M E), Bryan Lewis (Ph.D.,
M E), Matthew Parkinson (Faculty), Hendrik
Bosman (University of Stellenbosch), Barend de
Viliers ( University of Stellenbosch), Cornie
Scheffer (University of Stellenbosch)
11. Designing Sustainable Closed-Loop Supply
Chain Networks
Subramanian Pazhani (Ph.D., I E), A. Ravi
Ravindran (Faculty), and Akhil Kumar (Faculty,
Smeal College of Business)
12. Designing the Blood Supply Chain to Minimize
Platelet Wastage
Suchithra Rajendran (M.S., I E), Keerthana
Rajagopal (M.S., Health Policy &
Administration), Paronkasom Indradat (Ph.D.,
I E), and A. Ravi Ravindran (Faculty)
Advanced Needle Coatings for Improved
Lumbar Drain Procedure
Megan Doerzbacher (B.S., M E), Andrew Barnett
(Ph.D., M E), Nicholas Brandmeir (M.D.,
Hershey Medical Center), Doug Wolfe (Faculty),
Siyang Zheng (Faculty), and Jason Moore
(Faculty)
13. Determination of Minimum State Preview Time
to Prevent Vehicle Rollover
Paul Stankiewicz (B.S., M E), Alex Brown (Ph.D.,
M E), and Sean Brennan (Faculty)
14. Determination of The Optimum Solar Collector
Parameters of the Desiccant Wheel
Zahra “Mona” Hatami (Ph.D., A E)
Aligning Optical Wireless Communication With
Built Environment Lighting Quality
Reza Sadeghi Nahrkhalaji (Ph.D., A E), Kevin
Houser (Faculty), and Mohsen Kavehrad
(Faculty)
15. Development and Applications of a Robot
Tracking System for NIST Test Methods
Herschel Pangborn (B.S., M E), Sean Brennan
(Faculty), Karl Reichard (Research Associate,
Applied Research Laboratory)
All-Optical Amplify-And-Forward Relaying
System for Atmospheric Channels
Mohammadreza Aminikashani (Ph.D., E E),
Murat Uysal (Faculty, Ozyegin University of
Istanbul, Turkey), and Mohsen Kavehrad
(Faculty)
16. Development of a Low Cost Semi-Autopilot
System for a Small-Scale Outdoor Blimp
Ilker Oruc (M.S., AERSP) and Cengiz Camci
(Faculty)
ChemXSeer: Mining and Searching Chemical
Documents
Madian Khabsa (Ph.D., CSE), Prasenjit Mitra
(Faculty), Karl Mueller (Faculty, Chemistry), C.
Lee Giles (Faculty)
17. Development of ‘Nano-Scale’ Aircraft: Design,
Fabrication, and Flight Testing of a 600mg Air
Vehicle
Benjamin Pipenberg (M.S., AERSP) and Mark
Maughmer (Faculty)
Cold Spray Coating on Aluminum Substrates
With Nickel Encapsulated Lubricant Particles
Maryam Neshastehriz (Ph.D., ESMCH), Ivi Smid
(Faculty), Albert Segall (Faculty), Tim Eden
(Faculty), and Lisa Stark (M.S., E MCH)
18. Droplet Wetting Behavior on Grooved Solid
Surfaces: From Nano-Scale to Macro-Scale
Azar Shahraz (Ph.D., CH E), Ali Borhan
(Faculty), Kristen Fichthorn (Faculty)
10
19. Dynamic Control Feasibility of Maneuvering a
Human Powered Aircraft
Peter Blasco (M.S., AERSP) and Davide Conte
(M.S., AERSP)
28. Measurements of Heat Release Rate Fluctuation
in Technically Premixed Flames using
Reconstruction Method
Poravee Orawannukul (Ph.D., M E), Bryan Quay
(Research Staff), and Domenic Santavicca
(Faculty)
20. Effect of the Critical Temperature of Adsorbate
on Surface Compression inside Carbon
Micropores
Ali Qajar (Ph.D., CH E), Maryam Peer
Lachegurabi (Ph.D., CH E), Ramakrishnan
Rajagopalan (Research Associate, Materials
Research Institute), and Henry Foley (Faculty)
29. Mechanistic Model for Simulating the Stability
of Elastomeric Bearings at Large Lateral
Displacements
Xing Han (Ph.D., C E) and Gordon Warn
(Faculty)
21. Enhanced Human Lysozyme Production by
Kluyveromyces Lactis K7 in Biofilm Reactor
With Plastic Composite Support
Duygu Ercan (Ph.D., ABENG) and Ali Demirci
(Faculty, ABENG)
30. Membrane Arrays for Studying Amyloid BetaMembrane Interactions
Soohyun Park (Ph.D., BIOE), You Jung Kang
(M.S., BIOE), and Sheereen Majd (Faculty)
22. Feasibility and Completeness of Cryptographic
Tasks in the Quantum World
Serge Fehr (CWI, the Netherlands), Jonathan
Katz (University of Maryland), Fang Song (Ph.D.,
CSE), Hong-Sheng Zhou (University of
Maryland), Vassilis Zikas (UCLA)
31. Nanofiber Mediated Osteoinduction Through
Rhoa Gtpase Signaling
Tugba Ozdemir (Ph.D., BIOE), Lichong Xu
(Biomedical Engineering Institute, Hershey
Medical School), Christopher Siedlecki
(Biomedical Engineering Institute, Hershey
Medical School), and Justin Brown (Faculty)
23. Feed Instead of Waste: Sustainable Duckweed
Harvesting for Maximum Nutrient Removal
From Wastewater
Andrew Nathan Kreider (M.S., ENV E) and
Rachel Brennan (Faculty)
32. Nanoporous Carbon Spheres as Active and
Selective Catalyst Supports: Synthesis and
Application
Maryam Peer Lachegurabi (Ph.D., CH E), Ali
Qajar (Ph.D., CH E), Ramakrishnan Rajagopalan
(Research Associate, Materials Research
Institute), and Henry Foley (Faculty)
24. Flame Transfer Function Measurements and
Velocity Fluctuation Mechanisms
Nicholas Bunce (Ph.D., M E), Bryan Quay
(Research Staff), and Domenic Santavicca
(Faculty)
33. Network Traffic Characterization for Multi-core
Systems
Mahshid Sedghi Ghozloocheh (Ph.D., CSE) and
Chita Das (Faculty)
25. Giant Lipid Vesicles for Studying MembraneActive Enzymes
You Jung Kang (M.S., BIOE) and Sheereen Majd
(Faculty)
34. Novel (Poly) Caprolactone (PCL) Scaffold
Architecture for Tendon Tissue Engineering
Applications
Brittany Banik (Ph.D., BIOE) and Justin Brown
(Faculty)
26. Harvesting Geothermal Energy Through Pile
Foundations
Omid Ghasemi Fare (Ph.D., C E), Cory Kramer
(M.S., C E), and Prasenjit Basu (Faculty)
35. Over-The-Counter Medication Packaging:
Looking for Improvements
Brittany Murphy (B.S., I E), Scarlett Miller
(Faculty), Tim Simpson (Faculty)
27. Investigation of Needle-Tissue Friction and
Needle Placement Accuracy
Arif Abdullah (M.S., M E), Douglas Wolfe
(Faculty, MATSE), Jason Moore (Faculty)
36. Observability and Controllability of Neuronal
Network Motifs
Andrew Whalen (Ph.D., M E), Tim Sauer (George
Mason University), Sean Brennan (Faculty),
Steven Schiff (Neurosurgery)
11
37. Occurrence and Vertical Transport of
Endocrine Disrupting Compounds in a
Wastewater-Irrigated System
Senorpe Asem-Hiablie (Ph.D., ABENG), Herschel
Elliott (Faculty), Clinton Church (USDA –ARS
Pasture Systems &Watershed Management
Research Unit), Jack Watson (Faculty, Crop &
Soils), and Clinton Williams (USDA-ARS AridLand Agricultural Research Center, Maricopa,
AZ)
44. Production of Phytase by Microbial Submerged
Fermentation and Optimization of Process
Conditions
Hasan Bugra Coban (Ph.D., ABENG) and Ali
Demirci (Faculty)
38. On the Effect of Turbulence on the Evolution of
Underdense Specular Meteors: Preliminary
Results
Freddy Galindo (Ph.D., E E), Julio Urbina
(Faculty), Lars Dyrud (Applied Physics
Laboratory, John Hopkins University), and
Jonathan Fentzke (Applied Physics Laboratory,
John Hopkins University)
46. Removal of 17β-Estradiol by the White-rot
Fungus Trametes Versicolor Grown in
Secondary Wastewater Treatment Plant
Effluent
Michael Shreve (Ph.D., ENV E) and Rachel
Brennan (Faculty)
45. Quantifying Effective Flow and Transport
Properties in Heterogeneous Porous Media
Peyman Heidari (Ph.D., Energy and Mineral
Engineering) and Li Li (Faculty)
47. Seismic Risk of Highway Bridges in Flood-Prone
Regions
Taner Yilmaz (Ph.D., C E), Swagata Banerjee
(Faculty), Peggy Johnson (Faculty), and Thierno
Oumar Bah (B.S., C E)
39. Optimization of X-Ray Production Via
Bremsstrahlung for Active Interrogation of
Nuclear Materials
Daniel Abercrombie (B.S., NUC E) and Igor
Jovanovic (Faculty)
48. Rotor Performance Enhancement Through
Deployment of Active Devices
Frank Kody (M.S., AERSP) and Sven Schmitz
(Faculty)
40. Optimal Relay Placement in Cooperative FreeSpace Optical Communication Systems
Mohammadreza Aminikashani (Ph.D., E E),
Murat Uysal (Ozyegin University of Istanbul,
Turkey), and Mohsen Kavehrad (Faculty)
49. Shrinkage Characteristics of Alkali-activated
Slag Cements
Christopher Cartwright (M.S., C E), Farshad
Rajabipour (Faculty), and Aleksandra Radlinska
(Faculty)
41. Output Feedback Control of Distributed
Parameter Systems Based on Adaptive Model
Reduction
Davood Babaei Pourkargar (Ph.D., CH E) and
Antonios Armaou (Faculty)
50. Simulated and Metered Electricity Usage of a
Buildings
Ibrahim Alanqar (M.S., A E), Atefeh
Mohammadpour (Ph.D., A E), Jelena Srebric
(Faculty), and Chimay Anumba (Faculty)
42. Performance Analysis of Meshing Face Gears
Erick Froede (M.S., M E), Suren Rao (Senior
Scientist, Applied Research Laboratory) Zihni
Saribay (Post-Doctoral Scholar, A E), Martin
Trethewey (Faculty), Edward Smith (Faculty)
51. Substrate Stiffness Regulates Cellular Uptake
Changjin Huang (Ph.D., ESMCH), Peter Butler
(Faculty), Sheng Tong ( Biomedical Engineering,
Georgia Institute of Technology and Emory
University), Hari Muddana (Research Staff,
BIOE), Gang Bao (Biomedical Engineering,
Georgia Institute of Technology and Emory
University), and Sulin Zhang (Faculty)
43. Probing Fast Biomolecular Processes Using
Precisely Time-Controlled Chemical Waveforms
in Microfluidic Channels
Daniel Ahmed (Ph.D., ESMCH), Hari Muddana
(Research Staff, BIOE), Mengqian Lu (Ph.D.,
ESMCH), Jarrod French (Postdoctoral Scholar,
Department of Chemistry), Brian Kiraly (Ph.D.,
ESMCH), Xiaole Mao (Ph.D., ESMCH), Xiaoyun
Ding (Ph.D., ESMCH), Peter Butler (Faculty),
Andreas Manz (--, Department of Chemistry),
Stephen Benkovic ( --, Department of Chemistry),
and June “Tony” Huang (Faculty)
52. Tailoring Ecological Wastewater Treatment to
Developing Communities
Victoria Whyte (M.S., ENV E) and Rachel
Brennan (Faculty)
12
53. The Arecibo Search for Radio Flares From the
Coolest Brown Dwarfs
Matthew Route (Ph.D., Astronomy and
Astrophysics) and Alexander Wolszczan (Faculty)
54. The Pericyclic Transmission
Erick Froede (M.S., M E), Suren Rao (Senior
Scientist, Applied Research Laboratory), Zihni
Saribay (Post-Doctoral Scholar, A E), Martin
Trethewey (Faculty), Edward Smith (Faculty)
55. Three-Dimensional Simulation of Electric
Propulsion Devices with Octree Adaptive Mesh
Refinement and Parallelization Strategies
Burak Korkut (Ph.D., AERSP), Zheng Li
(Research Staff, AERSP) and Deborah Levin
(Faculty)
56. Treatability Studies on Different Refinery
Wastewater Samples Using High-Throughput
Microbial Electrolysis Cells
Lijiao Ren (Ph.D., ENV E), Michael Siegert
(Postdoctoral Scholar), Ivan Ivanov (Ph.D.,
Electrochemistry), John Pisciotta (Ph.D.,
Microbiology), and Bruce Logan (Faculty)
57. Understanding the Trade-off between the PostEarthquake Structural Safety of Bridges and the
Transportation Network Operations
Mehmet Unal (Ph.D., C E), Gordon Warn
(Faculty), Vikash Gayah (Faculty)
58. USTM-TIES: Teaching Engineering
Entrepreneurship in North Africa
Samantha Adams (M.S., I E), Scarlett Miller
(Faculty), and Zoubeida Ounaies (Faculty)
59. Vibration Tissue Cutting for Blunt Hollow
Needles
Andrew Barnett (Ph.D., M E), Arif Abdullah
(M.S., M E), Adam Gordon (B.S., M E), and
Jason Moore (Faculty)
60. Why Firms Run Out of Cash? A Dynamics
Perspective
Rattachut Tangsucheeva (Ph.D., I E) and
Vittaldas Prabhu (Faculty)
13
lithium-sulfur batteries; one that has only been
minimally addressed to date is their self-discharge – the
batteries’ tendency to lose capacity when not in use.
Preliminary work showed that baseline lithium-sulfur
cells can lose as much as 60% of their capacity after
resting for just 10 hours at 40°C – an unacceptable loss
by all practical standards. This work demonstrates that
lithium-sulfur battery self-discharge can be significantly
curtailed by design of superior battery electrolytes and
discusses some of the mechanisms by which this
improvement can occur.
PAPER ABSTRACTS
Morning Session (MA)
Energy & The Environment
9:00 - 10:00 a.m. & 11:00 - 11:40 a.m.
Ballroom A
Effect of the Critical Temperature of Adsorbate on
Surface Compression inside Carbon Micropores
Ali Qajar (Ph.D., CH E), Maryam Peer Lachegurabi
(Ph.D., CH E), Ramakrishnan Rajagopalan (Research
Associate, Materials Research Institute), Henry Foley
(Faculty)
A Practical Heat Transfer Model for Geothermal
Piles
Omid Ghasemi Fare (Ph.D., C E) and Prasenjit Basu
(Faculty)
It is commonly believed that porous materials with
surface homogeneity can follow the Langmuir model
even at high gas uptakes. However, in such assumption
the role of lateral interactions is completely neglected.
Here we have investigated the effect of lateral
interactions on the energetics of adsorption as a function
of critical temperature of the adsorbate in microporous
carbons. The carbons were synthesized via
carbonization and CO2 activation of polyfurfuryl
alcohol (PFA). The carbons possessed mean pore sizes
ranging from ~ 5-8 Å and pore volumes from ~ 0.2-1
cc/g. Adsorption of subcritical and supercritical light
gases on the microporous carbons near room
temperature and at elevated pressures was measured
using a custom-made adsorption instrument. Studying
the energetics of the adsorption process for all gases
showed monotonic reduction in the heat of adsorption at
high gas uptakes. Ono-Kondo coordinates was used to
deconvolute lateral and surface interactions. The
modeling along with spectroscopic measurements
revealed the significant role of the lateral interactions on
the loss of heat of adsorption. Our study showed that
behavior of the adsorbed phase largely deviated from
Gurvitch’s rule. The deviation was linearly decreasing
with increase in the critical temperature.
Idealized heat source models, which assume constant
heat flux along the entire length of heat sources, cannot
be used for accurate quantification of ground
temperature response during thermal operation of
geothermal heat exchanger piles. This paper presents an
annular cylinder heat source model that can realistically
simulate heat transport by the fluid circulating through
the tubes embedded in heat exchanger piles. The
proposed model can capture the effects of different
design, operational and site specific variables on heat
transfer performance of a geothermal heat exchanger
pile. A finite difference code is developed for
simultaneous solution of partial differential equations,
which describe both transient and steady-state heat
transfer from a heat exchanger pile to the surrounding
soil. Results show that the use of a constant heat flux
along the entire length of a vertical geothermal heat
exchanger would significantly overestimate ground
temperature response over time after the start of heat
exchange operation. The impact of different model
parameters on the performance of an energy pile is
investigated through a sensitivity study. Based on the
results from sensitivity study, initial temperature
difference between ground and circulation fluid, thermal
conductivity of soil, and radius of circulation tube are
identified to be the most important parameters that
affect thermal efficiency of a heat exchanger pile.
Improved Battery Design to Address the SelfDischarge of Lithium-Sulfur Batteries
Mikhail Gordin (Ph.D., M E), Shuru Chen (Ph.D.,
M E), Fang Dai (Research Staff), Tianren “Terrence”
Xu (Ph.D., M E), Jiangxuan Song (Research Staff),
and Donghai Wang (Faculty)
Bioconversion of Cellulose to Ethanol With A
Symbiotic Clostridium Phytofermentans/Yeast
Consortium
Trevor Zuroff (Ph.D., CH E), Salvador Barri Xiques
(Visiting Scholar), and Wayne Curtis (Faculty)
New, high-performance energy storage devices are
necessary to support the growth of many promising
technologies, including electric vehicles, implantable
devices, and wind and solar power. Lithium-sulfur
batteries are one of the most promising options for this,
as the specific capacity of sulfur cathodes is much
higher than that of traditional lithium ion battery
cathodes. There are many challenges still facing
Conversion of lignocellulose (i.e. plant biomass) to
ethanol is a viable, “clean” alternative to traditional
petroleum-based fuel production. Simultaneous
breakdown and fermentation of biomass is considered
one of the most economically feasible approaches to
14
heating capacity. Different annual energy requirements
were calculated using the indoor temperatures required
for thermal comfort as well as the measured indoor
temperatures. By comparing the simulation results, it is
identified that there is a potential for the retail stores,
especially the ones with a large volume, to save energy.
For example, in a cooling season, the studied retail
stores could potentially realize 20% or more in energy
savings with every 5 degrees in indoor temperature
increase. Therefore, the room temperature setting and
control are the key factors to realize these potential
energy savings.
lignocellulosic ethanol production. However, no single
organism is capable of efficient, direct biomass
conversion to ethanol. Consortia, or mixtures of
microbes, may be a more practical approach to the
realizing lignocellulosic ethanol. In this work, ethanol is
produced from α-cellulose using a consortium of
Clostridium phytofermentans and yeast that is
maintained by controlled oxygen transport. The yeast
“protects” C. phytofermentans from introduced oxygen
in return for soluble sugars released by C.
phytofermentans hydrolysis. With added cellulase, this
cooperative consortium improves ethanol production
greater than two-fold resulting in 22 g/L ethanol
compared to a mono-culture maximum of 9 g/L. This
work represents a significant step toward developing
consortia- based bioprocessing systems which could
make biomass-based biofuels a reality.
Morning Session (MB)
Material Science & Mechanics
9:00 - 10:00 a.m. & 11:00 - 11:40 a.m.
Ballroom B
Building Li-S Cathodes on Multi-Scale SelfAssembly to Achieve Superb Performance With
High Areal Mass Loading
Tianren “Terrence” Xu (Ph.D., M E), Donghai Wang
(Faculty), Jiangxuan Song (Research Staff), Mikhail
Gordin (Ph.D., M E)
Mode-III Crack-Tip Stress Fields in Gradient
Elasticity Incorporating Surface Effect
Alireza Ostadhossein (Ph.D., ESMCH)
The surface effect is examined in the mode-III nanocrack problem under anti-plane traction in a linearly
elastic solid based on strain gradient elasticity
formulated by Aifantis. Since the surface to volume
ratio increases on this scale, the usual continuum theory
which neglects the surface effects, fails to provide
reasonable results. The surface mechanics are
incorporated
resorting
the
continuum
based
surface/interface model of Gurtin and Murdoch.
Neumann expansion and Filon’s method has been
adopted to solve the integral equation for obtaining the
stress and deformation fields, numerically. Due to
surface elasticity incorporation, it is observed that,
contrary to the LEFM and the strain gradient results, the
stress at the crack-tip remains finite and depends on
crack size. Moreover, as gradient elasticity theory
predicts, the crack closes smoothly, not completely
sharp as in LEFM, at its physical tip.
Spherical sulfur-carbon composite was synthesized as
the cathode material for lithium-sulfur batteries. As the
conductive network for the active material, porous
carbon spheres were designed at multiple length-scales
to optimize the performance of lithium-sulfur batteries.
The nano-scaled pores in the carbon framework ensure a
high pore volume for sulfur infiltration. The micronscaled particle size is optimum for achieving effective
sulfur trapping, high conductivity of electrodes, and
easiness of battery fabrication. The material was
characterized with various techniques, including
electron microscopy, elemental mapping, N2 sorption,
X-ray diffraction, and further tested in battery cells as
the cathode material. This material was shown to deliver
high capacity and good retention over cycles. This work
provides insights on the challenges and methods of
improvement for utilizing lithium-sulfur batteries as the
next-generation rechargeable battery system.
FASCIA: Fast Approximate Subgraph Counting and
Enumeration
George Slota (Ph.D., CSE) and Kamesh Madduri
(Faculty)
Comparison of Energy Consumption Depending on
the Indoor Temperature Settings for Three Retail
Buildings
Zahira Alhafi (Ph.D., A E), Shi Shu (Research Staff),
and Jelena Srebric (Faculty)
Counting the frequency of occurrences for a subgraph
within a large network is a key problem arising in many
fields. The biological sciences especially find subgraph
counting important to characterize and compare
different biological networks. Subgraph enumeration is
a computer-intensive problem. For large networks
consisting of millions of nodes, obtaining exhaustive
counts is extremely challenging. This current research
develops a parallel approximate subgraph counting
This study conducted experimental measurements of
indoor temperatures continuously for 5 days in three
retail stores. Energy simulation software was used to
calculate the cooling and heating annual energy
requirements in these stores. The simulation results
showed good agreement with the designed cooling and
15
Organic Fungicides Improve Bindered Anthracite
Briquette Storage in Iron Foundries
Dane Kelsey (M.S., ENV E), Cesar Nieto-Delgado
(Research Staff), Rachel Brennan (Faculty), and Fred
Cannon (Faculty)
algorithm for use on shared memory systems. Prior
efforts have only considered out of- core parallelization
on distributed systems, which suffer considerable
slowdown due to I/O bottlenecks. With data layout and
algorithmic improvements, as well as parallel
performance optimizations, we achieve a considerable
speedup over prior state-of-the-art approaches.
Coke, a conventional fuel source in metal foundries, is
produced from increasingly rare and expensive coal
sources. Alternatively, anthracite coal fines can be
bound together to form briquettes using a binder
comprised mostly of organic waste materials. However,
in extended storage, the physical strength of the binder
can be diminished if fungal growth proliferates. The
goal of this research is to create a safe, inexpensive
fungicide by combining low doses of copper with
organic neem oil and azadirachtin to prevent binder
consumption. First, fungi were exposed to growth media
containing different doses of azadirachtin or neem oil to
select appropriate concentrations. Currently, fungal
activity in lab-scale briquettes is being tested after the
briquettes are manufactured, treated with fungicide
variations, and incubated, mimicking full-scale
production and storage. Results are expected to yield the
appropriate fungicide loading for the production and
storage of bindered anthracite briquettes to be used as
an alternative to foundry coke.
Cold Spray Coating on Aluminum Substrates with
Nickel Encapsulated Lubricant Particles
Maryam Neshastehriz (Ph.D., ESMCH), Ivi Smid
(Faculty), Albert Segall (Faculty), Tim Eden
(Faculty), and Lisa Stark (M.S., E MCH)
Unlike the conventional coating methods that are
usually performed at high temperature, the cold spray
method is a low-temperature process to apply coatings
on different surfaces. This method introduces a very
unique opportunity for application of coating materials
that are sensitive to high temperature, such as lubricious
materials. In this study, the performance of a selflubricating coating composed of Hexagonal-BoronNitride particles encapsulated with Nickel is examined
for coating Aluminum substrates via the cold spray
process. Preliminary test results using coated Aluminum
substrate showed great improvement in wear resistance
and a reduction of surface friction. Results also
demonstrated unexpectedly high bond strength between
the coating layer and the substrate. The reason for this
high coating bond strength is not fully understood. It is
possible that this is related to the potential hardenability
of the encapsulate Nickel in the material composition.
Morning Session (MD)
Biomedical Sciences
9:00 - 10:00 a.m. & 11:00 - 11:40 a.m.
Ballroom D
Nanofiber Mediated Osteoinduction Through Rhoa
Gtpase Signaling
Tugba Ozdemir (Ph.D., BIOE), Lichong Xu
(Biomedical Engineering Institute, Hershey Medical
School), Christopher Siedlecki ((Biomedical
Engineering Institute, Hershey Medical School), and
Justin Brown (Faculty)
Nanoporous Carbon Spheres as Active and Selective
Catalyst Supports: Synthesis and Application
Maryam Peer Lachegurabi (Ph.D., CH E), Ali Qajar
(Ph.D., CH E), Ramakrishnan Rajagopalan (Research
Associate, Materials Research Institute), and Henry
Foley (Faculty)
Porous carbon–based materials have unique textural
properties which make them a good candidate for a
wide range of applications. Catalysis is one of those
applications in which carbon shows high performance
due to high surface area and thermal stability. In this
work, polyfurfuryl alcohol-derived carbon spheres were
synthesized using a surfactant as the template. Size and
morphology of carbon structures were controlled by
adjusting surfactant and monomer concentration, acid
molarity (polymerization initiator) and solvent
composition. Carbon spheres synthesized this way were
used as catalyst support by embedding platinum
nanoparticles within their porous structure and showed
high activity and selectivity in liquid phase
hydrogenation reactions.
The ability to sense and respond to physicochemical
cues allows cells to adapt to a variety of different
environments. Cells have demonstrated an ability to
differentially respond to surface geometry, stiffness,
chemistry, wettability, energy, and charge. In designing
biomaterial scaffolds for bone tissue engineering
applications, multiple variables are often dependent on
one another. This complicates the process of explaining
and examining how each parameter alters the cellular
response. On the other hand, unraveling the
physicochemical mechanisms is necessary if
osteoinductive (inherently inducing bone regeneration
in mesencymal stem cells) scaffolds are to be designed
without requiring the use of growth factors. Studies
mimicking the geometry of the native extracellular
microenvironment, such as fibers have shown success
16
the size, shape, and drug release profile of 1, 3-bis
(2-chloroethyl)-1-nitrosourea (BCNU)-loaded poly
(lactic-co-glycolic
acid)
(PLGA)
microspheres
generated using the electrospraying technique. We also
estimate the effective diffusion coefficient of BCNU in
PLGA microspheres by comparing in vitro drug release
profile with the predictions of mathematical model of
drug release from PLGA microspheres.
but the exact mechanism explaining how cells sense and
translate the fibrous topography into intracellular
signaling changes have not been unveiled yet. Here we
proposed an intracellular topography sensing
mechanism that leads to stiffness alterations inside cells
due to curved topography presented by a fibrous
scaffold that leads to bone regeneration.
Microfluidic Device With Carbon Nanotube Channel
Walls for Blood Plasma Extraction
Yin Ting Yeh (Ph.D., BIOE), Nestor Perea-Lopez
(Research Staff, Department of Physics), Archi
Dasgupta (Ph.D., CHEM), Ramdane Harouaka
(Ph.D., BIOE), Mauricio Terrones (Faculty) and
Siyang Zheng (Faculty)
Formation of Arrays of Giant Proteoliposomes From
Hydrogel Stamped Deposits
You Jung Kang (M.S., BIOE), Erin E Richards
(Ph.D., BIOE), Harrison S Wostein (B.S., BIOE), and
Sheereen Majd (Faculty)
Giant liposomes and proteoliposomes closely mimic
natural cell membranes and represent excellent model
systems for membrane processes such as membrane
fusion and lipid-protein interactions. Arrays of
liposomes are, therefore, ideal platforms for highthroughput screening of such processes. Here, we
present a novel and simple approach to form arrays of
giant liposomes and proteoliposomes. In this approach,
hydrogel stamps pattern lipid and protein deposits on an
electrode surface. Electroformation of these patterned
deposits results in the growth of giant liposome arrays
of a desired composition. By varying the stamp features,
we control the number of liposomes grown per deposit.
We demonstrate the ability to form arrays of giant
proteoliposomes by electroforming stamped aquaporincontaining membrane deposits and cell membrane
fragments. Moreover, we utilize this versatile technique
to form giant liposomes in physiological solutions.
Finally, we study protein-lipid interactions by screening
the binding interactions of annexin-V protein with
phosphatidylserine-containing liposomes.
The human plasma biomarker analysis is promised to be
a revolution for disease diagnosis and therapeutic
monitoring, but it also presents major technical
challenges that need to be addressed. Plasma extract
from whole blood is the first step for plasma biomarker
analysis. This paper reports a new microfluidic device
with channel walls made of nitrogen-doped carbon
nanotubes (CNxCNT) as a point-of-care device to
continuously extract plasma from human whole blood.
The cross flow microfiltration principle is applied in this
plasma extraction device. The blood sample is
transported within the double spiral channels. The
plasma diffuses through the porous CNxCNT wall into
the spiral plasma channel while blood cells continue to
flow inside the spiral blood sample channel.
Delivery of Chemotherapeutics using Monodisperse
PLGA Microspheres Prepared via Electrified Liquid
Spraying Technique
Pouria Fattahi (Ph.D., CH E), Ali Borhan (Faculty),
and Mohammad Reza Abidian (Faculty)
Resource-Centric Patient Flow Performance
Comparisons in the Emergency Department
Yunfei He (M.S., I E), Ting Lei (M.S., I E), and Gül
Okudan Kremer (Faculty)
A brain tumor is a worldwide public health problem,
with tens of millions of people suffering from this fatal
disease. Despite different treatments available for brain
tumors (e.g. surgery, radiotherapy and chemotherapy),
malignant gliomas (high grade brain tumor) remains
uniformly deadly and the median survival is only about
a year. During chemotherapy, a final step of tumor
treatment, a high dosage of chemotherapeutic agents
needs to be administered to pass through the blood brain
barrier (BBB). However, the high dosage not only kills
cancer cells but also damages healthy tissues and can
cause serious side effects. Nowadays, researchers are
investigating different systems of targeted drug delivery
to reduce the chemotherapeutic agents’ side effects.
Despite of some successes using different methods of
drug delivery, there is still a need of having a sustained
and controlled drug delivery device for local treatment
of brain tumors. Here, we report a systematic study on
Emergency Department overcrowding has been a major
problem in the United States for almost two decades.
Accordingly, numerous efforts have been put forth into
eliminating the adverse effects that come along with it,
such as long waiting times, patients leaving without
being seen and deterioration of quality of care. From the
published patient flow improvement interventions, we
focus on strategies that are widely discussed in the
relevant literature: fast track, physician triage, and team
triage. The effectiveness of these interventions is shown
through mostly observational and a limited number of
controlled studies, where only a specific intervention is
studied. However, these “success stories” help little
when alternatives are not compared properly. To
17
overcome this problem, we propose a simulation
approach to examine these interventions in a controlled
environment and to enable the sensitivity analyses of
critical ED parameters such as resources or patients’
inputs, and performance measures. The impact on
patients of different urgency level is also addressed so
that generalized conclusions on the effectiveness of
interventions can be made to guide future
implementations.
Simulated and Metered Electricity Usage of a
Buildings
Ibrahim Alanqar (M.S., A E), Atefeh Mohammadpour
(Ph.D., A E), Jelena Srebric (Faculty), and Chimay
Anumba (Faculty)
The purpose of this research is to increase the
simulation accuracy for a cancer institute as an example
of new healthcare buildings. Healthcare buildings have
been major energy consumers with a significant
contribution to the total annual energy consumption in
commercial buildings. The total energy used by a
typical healthcare building per square-foot is about 2
times the usage of a typical office building. The
building’s facility management provided building plans
as well as metered electric energy consumption data.
The study simulates the annual energy consumption,
and compares it against the actual consumption. This
comparison further enables identification of important
simulation inputs that affect the accuracy. The following
parameters had an important contribution on the
simulation accuracy: equipment and occupancy
schedules, equipment loads, and temperature and
humidity set-points. Using a set of recommended input
parameters, the simulation accuracy of the electric
energy was within 12% of the actual energy usage of the
building. In addition, pattern of predicted energy, which
represents the electricity demand, also followed the
actual energy use pattern.
Nanostructured Hydrogel for Biosensing
Applications
Gloria Kim (Ph.D., BIOE) and Mohammad Reza
Abidian (Faculty)
Quantification of glucose can be a useful diagnostic tool
for the early detection of diabetes and other neurological
disorders. Current enzyme-based glucose biosensors
still lack sensitivity and longevity. Here we report a
highly sensitive amperometric glucose biosensor using
electrospun PEG hydrogel fibers with physically
entrapped enzyme glucose oxidase.
Morning Session (ME)
9:00 - 10:00 a.m. & 11:00 - 11:40 a.m.
Ballroom E
A Tractable Two-Stage Robust Winner
Determination Model for Truckload Service
Procurement via Combinatorial Auction
Bo Zhang (Ph.D., I E), Tao Yao (Faculty), Terry
Friesz (Faculty)
Optimal Location of Discretionary Alternative-Fuel
Stations on a Tree-Network
Seong Wook Hwang (Ph.D., I E), Sang Jin Kweon
(Ph.D., I E), and Jose Ventura (Faculty)
A combinatorial auction is a widely adopted mechanism
for truckload (TL) service procurement. The shipper
faces a well-known winner determination problem
(WDP): the shipper, as the auctioneer, is given bids
submitted by a group of carriers. In most literature,
WDP is modeled as a deterministic mixed-integer
program (MIP) and is solved by standard MIP
algorithms. This paper proposes a new tractable twostage robust optimization (RO) approach to solve WDP
for TL service procurement under shipment volume
uncertainty. We conduct numerical tests on real world
sized instances of on TL service procurement to
demonstrate the applicability of our proposed robust
method. Moreover, we compare our robust approach
with benchmark methods and show that our robust
approach is more tractable and is more robust to highlevel uncertainty.
Due to global concerns about environmental
sustainability in ground logistics, there has been
widespread research into alternative-fuel (alt-fuel)
vehicles. Compressed natural gas buses have been
successfully deployed on a commercial scale in public
transportation. Also, sales of electric cars have been
gradually increasing. However, uses of other alt-fuel
vehicles are in their early stages because developing an
infrastructure with refueling stations requires a huge
investment. When setting up such an infrastructure, it is
necessary to decide the number of refueling stations to
be built and where they should be located to cover the
maximum traffic flow that can be refueled on a given
road network. In this research, we propose a
mathematical model to determine optimal locations for
a pre-determined number of refueling stations to
maximize the traffic flow covered on a tree-network,
which is a common structure of toll roads in many
states. This model includes four types of constraints to
identify the number of trips covered for four possible
18
detailed soot model, the Method of Moments with
Interpolative Closure (MOMIC) has also been
incorporated in the model.
ranges of travel distances between all possible pairs of
vehicle origins and destinations.
GIS-Based Hierarchical Multi-Objective Supply
Chain Network Design: A Proposed Tool & Case
Study
Ting Lei (M.S., I E) and Gül Okudan Kremer
(Faculty)
Framing the Building Control Problem for
Multiagent Systems
Andrew Windham (Ph.D., A E) and Stephen Treado
(Faculty)
The purpose of this paper is to frame the problem of
building mechanical systems control within the context
of multiagent systems and to detail a position on future
work. Uncertainty, broad operating conditions, and
intuitive control interfaces are identified as key factors
in the problem. A survey of previous work into
multiagent building control systems is presented. Three
exterior fields are prevalent in the body of work. They
are: Smart Grid, Ambient Intelligence, and Sensor
Networks. Influenced by the literature survey and
expertise with building mechanical systems, a
multiagent building control framework is offered that
takes into account the key challenges of building
control. We also introduce basic theory used for a
critical process in the framework. It builds from
probabilistic graphical modeling and game theory to
drive a distributed decision process for near-optimal
control. From this, our logical foundation is established,
acting as an anchor for the detailing of theory,
algorithms, structures, and implementation.
With the globalization of markets and increasing
concerns on environmental sustainability, complexities
of selecting green suppliers have increased
substantially. Since 1980s, several mathematical models
have been proposed, but few of them paid attention to
economic, environmental and geographical elements
simultaneously. This research presents a new approach
to supplier selection and thus network design that makes
use of Geographical Information Systems (GIS) and
mathematical programming in a synergistic and
hierarchical way. In the first stage, using GIS spatial
data and World Bank country performance indices, a
subset of countries is selected. In the second stage, a
multi-objective mixed-integer programming model is
used to help the management select suitable suppliers
and allocate the optimum order quantities, considering
optimizing costs, carbon footprint, quality, and delivery
reliability. Budget, demand, suppliers’ capacity, and
carbon emission cap constraints are also considered.
These two stages are implemented in a user-friendly
software using existing open-source technologies, i.e.,
WorldWind for GIS spatial data information and geomapping of facility locations. With the implementation
of this system, companies can efficiently design supply
chain networks objectively and in a visual manner. The
developed method along with the software
implementation is shown on a bicycle manufacturing
supplier selection.
Afternoon Session (AA)
1:30 - 2:30 p.m.
Ballroom A
A Phase-Lag Boundary Condition for Unsteady
Flows in Turbomachinery Applications
Alex Wouden (Ph.D., M E), John Cimbala (Faculty),
and Bryan Lewis (Ph.D., M E)
Numerical Modeling of Laminar Axi-Symmetric
Diffusion Flames With Soot
Adhiraj Dasgupta (Ph.D., M E), Somesh Roy (Ph.D.,
M E), and Daniel Haworth (Faculty)
Using computational fluid dynamics (CFD), the phaselag boundary condition is evaluated for use in
turbomachinery applications. The phase-lag boundary
condition reduces the required computational domain to
a single blade passage per blade row such that the
realistic unsteady blade interaction is still captured.
Documented in literature since the 1970’s, this
boundary condition has been implemented successfully
in specialized software. OpenFOAM, an open-source
C++ computing package, is used to develop the phaselag boundary condition. The boundary condition is
applied to a single two-dimensional stator blade passage
and a coupled rotor/ stator blade passage. In the first
model, the upstream rotary is represented by a traveling
sinusoidal velocity profile. In the second model, the
In this work a numerical model to study axi-symmetric
laminar diffusion flames has been developed based on
the open source CFD code OpenFOAM. The model
takes into account the effect of differential diffusion for
the gas-phase species, as well as the formation, growth
and oxidation of soot in such a flame. A semi-empirical
two-equation soot model has been implemented and
validated against experimental data for an ethylene
flame. Radiative effects were found to be significant in
this flame configuration, and an optically thin model
was included to account for these effects. Initial results
using these models have shown good agreement with
experimental data and as a next step of this work, a
19
corporations can potentially exploit the framework to
discover the experts of interest within the organization.
To demonstrate the power of ExpertSeers, we use the
framework to build two expert recommendation
systems. The first one, CSSeers, is based on CiteSeerX
digital library to recommend experts in the computer
science field. The second one, ChemSeers, employs
publicly available documents from Royal Society of
Chemistry (RSC) to recommend experts for chemists.
The two systems are both publicly available; initial
experiments on the platform show promising results.
First, there is reasonable coverage of the corresponding
discipline. Second, the recommended authors are
usually prestigious researchers who have published
several papers related to the query term. Third, the
related keyphrase lists are mostly meaningful and
relevant terms.
rotor utilizes a dynamic mesh with a data-passing
interface separating the stator. The computed velocity
profile shows good agreement with that of the full
domain simulation.
Automated Disassembly Sequence Planning and
Optimization
Deepak Agrawal (Ph.D., I E), Phani Nallamothu
(M.S., I E), Supreet Mandala (Ph.D., I E), Soundar
Kumara (Faculty), Daniel Finke (Research Associate,
ARL)
Disassembly is an important activity, which directly
governs the cost of products. The literature reveals that
much of the research has been focused on assembly
sequence planning. The disassembly planning problem,
however, needs a separate consideration on account of
the need for partial disassembly and other constraints.
This paper reports the seamless design and
implementation of a software system which
automatically determines how to disassemble a product
completely, given only a geometric description of the
assembly. The system is conceptually divided into two
stages. The first stage takes the CAD model of the
product assembly as input, which generates interference
matrices for principal directions (±x, ±y, ±z). A
precedence relationship is determined from these
interference matrices to aid in the generation of
disassembly sequences. In the second stage a user
defined fitness function is proposed with the objective
of minimizing the number of reorientations and tool
changes during disassembly. An enhanced Genetic
Algorithm was designed and implemented to generate
optimum solution(s) with the help of this function. A
module was implemented to visually simulate the
optimum disassembly sequence generated by the above
algorithm. The system was found to efficiently generate
logical, optimum disassembly sequences.
Finding Pseudo-codes and Algorithmic Procedures
in Scholarly Documents
Suppawong Tuarob (Ph.D., CSE), Sumit Bhatia
(Ph.D., CSE), Prasenjit Mitra (Faculty), and C. Lee
Giles (Faculty)
A large volume of scholarly articles contain algorithms
that provide concise descriptions for solving a wide
variety of computational problems. For example,
Dijkstra’s algorithm describes how to find shortest paths
between two nodes in a graph. Automatic identification
and extraction of these algorithms from scholarly digital
documents would enable to automate algorithm
indexing, searching, and analysis. In this paper, we
present a novel set of techniques for automatic detection
of algorithms from scholarly documents. We identify
different types of algorithm representations commonly
appearing in scholarly documents, namely pseudo-codes
and algorithmic procedures. We then develop a set of
techniques for automatic detection of each type of the
algorithm representation. Our methods yield a precision
of 87.37% and a recall of 67.17% in pseudo-code
detection, and a precision of 69.56% and a recall of
49.00% in algorithmic procedure detection. We also
describe how different algorithm representations are
linked to produce a set of unique algorithms. Our
linking algorithm yields an accuracy of 85.15%.
ExpertSeers: A Keyphrase-Based Expert
Recommender for Digital Libraries
Hung-Hsuan Chen (Ph.D., CSE) and C. Lee Giles
(Faculty)
In this paper, we propose ExpertSeers, a generic
framework for expert recommendation based on a
digital library. Given a query term q, ExpertSeers
recommends experts of q by retrieving authors who
published relevant papers. In addition, a relevant
keyphrases list of q is provided for reference. Users may
get a more complete expert list by browsing through the
relevant topics. ExpertSeers can be directly applied to
several different disciplines because it is highly
automated and not tailored to a specific discipline. For
example, digital library providers can employ the
system to enrich their service content. Institutes and
Comparison of Cepstrum and SDF Feature
Extraction Methods for Target Detection and
Classification
Soheil Bahrampour (Ph.D., E E) and Asok Ray
(Faculty)
Unattended ground sensor (UGS) systems are deployed
in the border regions for target detection and
classification (e.g., monitoring of human intruders).
However, the performance of UGS systems is often
20
However, system noise remains a significant challenge
affecting both model extraction and localization. This
paper introduces a novel approach to model extraction
that maximizes the robustness of the extracted model
map to inertial measurement unit noise. There are two
mechanisms that are employed. First, the model map is
represented as a tiered tree, with models describing
successively finer data decimations in lower tree levels.
Second, during the extraction process the models and
the transitions between models are chosen to accentuate
the outlier end point that denotes the transition event.
An additional benefit of the presented algorithm is that
it generates model maps independently given a fixed
model order. This provides a convenient method of
efficiently adding new information to the vehicle’s map.
The approach is tested using vehicle pitch data collected
in State College, Pennsylvania.
limited by high false alarm rates, possibly due to
inadequacies of the underlying feature extraction and
pattern classification algorithms. From this perspective,
the paper proposes a symbolic dynamic filtering (SDF)based feature extraction method that is computationally
efficient. In this method, sensor time series data are first
symbolized to construct probabilistic finite state
automata (PFSA) that, in turn, generate lowdimensional feature vectors. In conjunction with
existing pattern classification algorithms, the SDF-based
feature extraction algorithm has been validated by
comparison with Cepstrum-based feature extraction on
the field data of seismic and passive infrared (PIR)
sensors for target detection and human/animal
classification. The results show consistently superior
performance of SDF-based feature extraction over
Cepstrum-based feature extraction in terms of
successful detection, false alarm, and overall correct
classification rates.
Passive Tailboom Vibration Control Using Fluidic
Flexible Matrix Composite (F2mc) Tubes
Kentaro Miura (Ph.D., M E)
IP Pollution in Cloud Computing
Jingyao Fan (Ph.D, CSE), Darshan Suresh (M.S.,
CSE), Chuangang Ren (Ph.D., CSE), and Cheng
Wang (Ph.D., CSE)
Cloud computing is the use of computing resources that
are delivered as a service over the network. It provides
flexible and scalable service models as well as easy
deployment features. However, the security and privacy
issues of cloud computing become the main challenges
against the benefits of clouds due to the inherent nature
of resource sharing. The literatures on cloud security
often focus on the attack/defense from the external
network or within the cloud. In this paper we propose a
novel attack based on IP Pollution which takes
advantages of other forms of attacks to pollute the
floating IP addresses. We then provide real world
scenarios to demonstrate the practicality of the attack.
Different defenses are proposed against the attack. We
implement the attack on the OpenStack cloud platform.
Our experiments and statistical analysis show that such
attacks does happen in OpenStack cloud and can have
severe consequences in the real world.
Due to low inherent structural damping, helicopter
tailbooms are susceptible to bending mode excitation.
The resulting vibrations fatigue structural elements in
the tailboom, as well as reduce ride quality for
passengers. Light-weight and low-profile, fluidic
flexible matrix composite (F2MC) tubes are a promising
new class of vibration treatments for aerospace
structures. This paper investigates the feasibility of
passive tailboom vibration control using F2MC tubes. A
model of F2MC tubes is integrated into a cantilevered
beam model of a helicopter tailboom. Using this model,
a novel damped absorber comprising F2MC tubes
coupled with an inertia track is explored. A preliminary
damped absorber design consisting of four tubes, each
0.3m long and 2cm in diameter, provides 22 dB of
attenuation at the first tailboom lateral bending mode.
Results of a parameter study show that this damped
absorber can be modified to behave as a damper, with a
trial design adding 4.97% damping at the first mode.
Optimal Movement Strategy Selection in
Shuffleboard With Penalty
Joseph M. Mahoney (Ph.D., ESMCH) and Joseph
Cusumano (Faculty)
Afternoon Session (AB)
Systems, Control, and Communications
1:30 - 2:30 p.m.
Ballroom B
We looked at a simple shuffleboard task and a variation
of the task that imposes a penalty after the target line. A
proposed stochastic optimal control system was
developed that determined the dynamics of repeated
trials. The control system minimized a cost function
composed of the error-squared, signed-error, an
ergonomic component, and input effort. An
experimental version of the system was developed and
data was collected from sixteen subjects. We compared
Robust Map Design for Terrain-Based Vehicle
Localization
Emil Laftchiev (Ph.D., E E), Constantino Lagoa
(Faculty), and Sean Brennan (Faculty)
Using terrain data and dynamical models is a promising
approach to map-based passenger vehicle localization.
21
the dynamic behavior between the two conditions and
saw no significant difference. We then compared the
mean operating between conditions and observed the
mean operating point was significantly farther from the
target line in the task with penalty. Finally, we
calculated the weights that subjects applied to their cost
function and observed that subjects were concerned
more about overshooting in the task than with penalty.
Fuzzy Formation Control of Autonomous
Underwater Vehicles
Brian Thomson (Ph.D., E E) and Benjamin B.
Thompson (Faculty)
In this paper, a fuzzy formation controller, or collection
of fuzzy inference systems (FIS), is shown to provide
formation control of multiple autonomous underwater
vehicles (AUVs) given state information of the AUVs.
A leader-follower approach is presented wherein the
leader represents the reference vehicle for the formation,
and the followers comprise other AUVs in the group.
Given a defined leader AUV, each follower AUV is
assigned an arbitrary initial direction and position in a
two-dimensional space. The objective is for each
follower AUV to converge to a desired position relative
to the leader. Under the assumption that the follower
AUVs can perfectly sense the state (i.e. velocity,
position for the scope of this problem) of the leader
AUV and that the leader is already defined, the fuzzy
formation controller generates velocity commands for
each follower while the leader traverses an arbitrary
path. The advantage of this approach is that fuzzy
formation controllers can be tuned for any set of
possible AUV states. Thus, only the set of possible
AUV states are required to develop a comprehensive
formation controller.
Determination of Minimum State Preview Time to
Prevent Vehicle Rollover
Paul Stankiewicz (B.S., M E), Alex Brown (Ph.D.,
M E), and Sean Brennan (Faculty)
This research focuses on determining the minimum
preview time needed to predict and prevent vehicle
rollover. Statistics show that although rollover only
occurs in 2.2% of total highway crashes, it accounts for
10.7% of total fatalities. There are several dynamic
rollover metrics in use that measure a vehicle's rollover
propensity under specified conditions. However, in
order to prevent a rollover event from occurring, it is
necessary to predict a vehicle's future rollover
propensity. This research uses a novel vehicle rollover
metric, called the zero-moment point (ZMP), to predict
a vehicle's rollover propensity. Comparing different
amounts of preview, the results show that short-range
predictions as little as 0.75 seconds ahead of the vehicle
are sufficient to prevent nearly all dynamics-induced
rollovers in typical shoulders and medians.
Afternoon Session (AD)
Future Technology & Advance Design
1:30 – 2:30 p.m.
Ballroom D
A New General and Tractable Probability Density
Function of Turbulence-Induced Fading for Free
Space Optical Systems
Mohammadreza Aminikashani (Ph.D., E E), Murat
Uysal (Faculty, Ozyegin University), and Mohsen
Kavehrad (Faculty)
Identification of Structural Issues in Design and
Construction of Multi-Story Modular Buildings
Issa Jafar Ramaji (Ph.D., A E) and Ali Memari
(Faculty)
In this paper, we develop a new probability distribution
function which describes turbulence-induced fading
under every degree of turbulence severity for free space
optical (FSO) systems. The proposed mode, termed
Double-GG distribution, is based on a doubly stochastic
theory of scintillation and developed via the product of
two so called Generalized Gamma (GG) distributions.
The Double-GG distribution generalizes many
commonly used models in a closed-form expression and
provides an excellent fit to the simulation data. We
compare our model with Gamma-Gamma and Double
Weibull models and assess their accuracy based on
published plane and spherical waves simulation data.
This paper initially introduces different types of
modular multi-story or high-rise construction systems.
The structural systems including gravity and lateral load
resisting systems are then discussed. The challenges that
structural designers face in addressing load path
continuity and gravity and lateral load transfer between
adjacent structural components are reviewed.
Approaches for system and building modeling needed
for structural analysis as well as relevant building code
requirements are discussed. Furthermore, the challenges
in the design and detailing of different structural
members and components/systems are evaluated. The
paper also provides an overview of any special
structural safety issues for design and construction.
Finally, the paper outlines the R&D needs for advancing
the technology of multi-story modular building design
and construction.
22
Virtual Reality (VR) and Augmented Reality (AR). VR
uses strictly virtual settings to interactive and immersive
spaces and interfaces while AR uses a combination of
virtual models with physical overlays. The complexity,
criticality and reliability needed by structural systems
lend itself nicely to have applications in both VR and
AR. The primary discussion focuses on current efforts
being developed and used as a whole in the AEC
Industry. From here structural options are discussed and
postulated in whether these two environments can have
structural applications. Currently, there are several
structural applications in their infancy in both settings
focusing on education learning and construction
enhancement. These applications include virtual
educational tools on stability, simulation with Finite
Element Analysis, model overlay for in-field
inspections and visual verification. Lastly, this paper
will postulate new applications based on what is
existing for future work in the field of VR and AR with
structures.
Rotor Performance Enhancement Through
Deployment of Active Devices
Frank Kody (M.S., AERSP) and Sven Schmitz
(Faculty)
The world of helicopters is very complicated.
Helicopters are some of the most useful flight vehicles
in existence, but they are also very expensive to operate
and maintain. There is high demand for more able and
sophisticated concepts, but the industry is slow to react
and develop new designs due to the extremely complex
nature of generating and developing new designs. Since
both of these problems are connected, it would make
sense that a solution to these issues would also be
connected. A study is introduced that aims at reducing
the power required of a UH-60A Blackhawk helicopter
during high-speed forward flight through the use of nonharmonically deploying active control devices (flaps,
slats, morphing, etc.). This is completed through the
coupling of an evolutionary algorithm based optimizer,
Covariance Matrix Adaptation Evolutionary Strategy
(CMA-ES), and a helicopter analysis tool, Rotorcraft
Comprehensive Analysis System (RCAS). First, the
geometric twist distribution of the UH- 60A’s rotor
blade is optimized at this high-speed flight condition to
determine the minimum power required of the aircraft.
The resulting loading distribution from this study is then
used as a goal when modifying the loading distribution
of the UH-60A rotor by active devices. The optimized
twist distribution and a first cut approach at applying
active devices to match the resulting loading yields a
savings of required power between 5% and 15%. This
result provides promise that a significant efficiency
increase and an improved design can be realized by
coupling modern optimization tools, such as
evolutionary algorithms, with existing comprehensive
design codes.
Optical Wireless System Using Architectural Light
Sources
Reza Sadeghi Nahrkhalaji (Ph.D., A E) and Kevin
Houser (Faculty)
With the recent advances in the technology, the use of
Light Emitting Diodes (LEDs) for the general
illumination of the built environment has become a
reality. One of the unique characteristics of LEDs is
their capability in flickering at the speed that is beyond
human sensitivity. Researchers in the area of
information and communication have been extensively
working on this aspect of LEDs to create a wireless
network utilizing the visible range of the radiant power
instead of the current Wi-Fi wireless network, which
employs the radio waves range of spectrum. This
relatively new technology responds to the need of
providing a wireless network in the environments where
the use of radio frequency is prohibited such as the
aviation industry and health care facilities. Also, it has
many advantages over the Wi-Fi wireless system
including the potential to provide a faster, cheaper and
more secure wireless network. This paper investigates
the required technologies to achieve optical wireless
system and its potential application in the built
environment. Also, the remaining challenges that need
to be addressed to make this technology mainstream are
studied.
Feasibility Assessment of Virtual and Augmented
Reality for Structural Applications
Ryan L. Solnosky, (Ph.D., A E)
As Building Information Modeling (BIM) is becoming a
the dominant technique used by the Architecture
Engineering and Construction (AEC) Industry, new
applications and working environments are being
developed to enhance the design and construction
experience. Presently, traditional methods such as 2-D
and 3-D visual interfaces limit interaction while
traditional paper documentation limits the user
experience to visually and analytically develop and
construct better projects. For several years now there
has been a push to create more friendly and useful
environments to promote human interaction on a
project. From this research two classes have emerged,
Benchmarking and Advancing Construction Safety:
An Owner’s Perspective
Seyed Safa Eslambolchi (Ph.D., A E) and Robert
Leicht (Faculty)
Historically, owners would rather take a “hands-off”
approach when it comes to contractor safety mainly due
23
to the liability associated with the injury of construction
workers. Today, with the law suits arising from
construction accidents, owners could be held liable for
the damages. Literature shows that involvement of
owners in selecting, monitoring, and mentoring safe
contractors should significantly reduce recordable
incidents on projects. This paper presents a research
effort on benchmarking and advancing construction
safety. The goal of this study is to pilot the ability to
compare the level of involvement of owners in project
safety. The study involves benchmarking safety
standards and practices for owners by an in-depth
review of published literature on owner involvement in
construction safety and review of processes, documents
and safety programs of owners in the Higher Education
sector. The paper describes different levels of owners’
involvement in safety during a construction project.
regression. The Self- Regulated Learning (SRL) is one
of the most popular concepts in the research area of
metacognition. It provides a broad picture of learning
competencies that influence metacognitive process such
as self-reflection and control of learning. However, the
nature of human learning process is so ambiguous and
imprecise that it is hard to understand the internal
cognitive process of SRL. This study investigated fuzzy
patterns of the decision making procedure for their selfevaluation in a simulated environment, and proposed a
general framework for the training simulation of the
SRL model in order to design advanced trainingmethods for inexperienced workers within a dynamic
environment.
Why Firms Run Out of Cash? A Dynamics
Perspective
Rattachut Tangsucheeva (Ph.D., I E) and Vittaldas
Prabhu (Faculty)
Improving the Utility of Product Dissection for
Early-Phase Idea
Christine Toh (M.S., I E / Ph.D., M E) and Scarlett
Miller (Faculty)
Managing modern supply chains involves dealing with
complex dynamics of materials, information, and cash
flows around the globe, and is a key determinant of
business success today. One of the well-recognized
challenges in supply chain management is the inventory
bullwhip effect in which demand forecast errors are
amplified as it propagates upstream from a retailer, in
part because of lags and errors in information flows.
Adverse effects of such bullwhip effect include
excessive inventory and wasteful swings in
manufacturing production. In this paper we postulate
that there can be a corresponding bullwhip in the cash
flow across the supply chain and it can be one of many
reasons why firms run out of cash. Furthermore, we
explore ways to predict its impact by using a cash flow
forecasting model and identify a potential strategy to
engineer a solution for controlling working capital by
using portfolio optimization theory. To the best of our
knowledge, this line of investigation is first of its kind
and there are no publications in open literature.
Although product dissection is a widely adopted tool in
engineering academia and industry, researchers have
just begun to explore how dissection affects creativity in
design and little research to date has explored how
variations in dissection activities affect creativity.
Therefore, in this paper we present a controlled
experiment developed to understand how the type and
number of products dissected and the structure and
medium (electronic versus physical) of the dissection
task affects the creativity and originality of engineering
design concepts. Our quantitative findings (from
ANOVAs) are paired with qualitative analysis
(interview results) to provide rationale for the findings
and insights into the cognitive underpinnings of our
results. These research findings show that variations in
dissection activities impact design creativity.
Afternoon Session (AE)
Simulation and Mathematical Modeling
1:30 - 3:30 p.m.
Ballroom E
Modeling of In-Cylinder Combustion in
Compression-Ignition Engines
Vivek Raja Raj Mohan (Ph.D., M E) and Daniel
Haworth (Faculty)
Developing Adaptive Training Simulation Based on
Self-Regulated Learning in Dynamic Control Tasks
Using Fuzzy Linear Regression
Jung Hyup Kim (Ph.D., I E)
A thorough understanding of in-cylinder combustion
processes is essential in developing new ideas to
improve combustion efficiency with near-zero
emissions. A transported probability density function
(PDF) model is used to simulate the in-cylinder
combustion processes in a compression-ignition heavyduty engine. In chemically reacting turbulent flows such
as the in-cylinder flows in a compression-ignition
engine, turbulent fluctuations are coupled with the
reaction-rate chemistry in highly non-linear ways.
The use of Interactive simulation models has gained increasing popularity because of the need to develop more
advanced on-the-job training methods in many
industries. In this paper, we investigated the new
approach to evaluate trainees’ self-regulated learning
process in dynamic control tasks by using fuzzy linear
24
have determined by taking into account of operating
conditions such as outside temperature, outside relative
humidity, regeneration air temperature and total solar
irradiance. In this cooling process, a mathematical
model has used that shows the physical properties of air.
The results of this study show that necessary solar
collector surface will be decreased by increasing inlet
air temperature, inlet air humidity ratio and solar
irradiance and will be increased by increasing the
regeneration air temperature.
Hence, the combustion models should be able to capture
the interactions between the reaction-rate chemistry and
the unresolved turbulent fluctuations in composition and
temperature. The transported PDF model has the unique
advantage of capturing these turbulent-chemistry
interactions (TCI) in a direct manner with minimal
approximations. In this paper, recent results from incylinder combustion simulations using the transported
PDF model for two different operating conditions for a
heavy duty engine are presented. The computed
pressure traces agree reasonably well with experimental
data. More importantly, significant differences are
found between the results obtained using the transported
PDF model that explicitly accounts for TCI and those
obtained using a model that does not account for TCI. .
In addition, sensitivities to variations in gas-phase
chemistry models are studied using different chemical
mechanisms. These results indicate that the choice of
gas-phase chemical mechanism is critical in predicting
the in-cylinder combustion characteristics accurately.
Breakthrough Curve Decomposition: A Framework
for Analyzing Solute Transport Processes in Rivers,
Independent of Numerical Transport Models
Adam Wlostowski (Ph.D., C E), Michael N. Gooseff
(Faculty), William Bowden (University of Vermont),
Wilfred M. Wollheim (University of New
Hampshire)
Advection, dispersion, and transient storage are three
dominant solute transport processes in natural stream
channels. 1D numerical transient storage models are
often used to simulate these processes along with stream
flow gains and losses, in order to understand the relative
spatial and temporal scales of each process. Here we
promote a new approach to determining the influence of
advection, dispersion, transient storage, and longer-term
exchanges by directly analyzing the solute data
collected from stream tracer experiments, with no
parameteric modeling required. The inherent challenges
of using solute transport models include issues related to
model appropriateness and parameter identification.
Using this new approach, we are able to parse the
timescales and quantity of labeled water (i.e., tracer
mass) that experience each process. We are better able
to discern the relative influence of advection/dispersion,
transient storage, and long time-scale exchange across
conditions in a single stream, and across different
stream systems. We apply our approach to several slug
injections of dissolved salt on three different streams in
arctic Alaska, and are able to compare and contrast the
characteristic transport processes of each stream.
Determination of the Optimum Solar Collector
Parameters of the Desiccant Wheel
This work presents the optimization of a solar collector
surface in a solar desiccant wheel cycle which for
cooling process with typical configuration naming the
desiccant wheel, heat exchanger and water spray
evaporative cooler. In this cooling cycle the thermal
solar energy has used to heat the regeneration air of the
desiccant wheel cycle. The optimum solar collector
surface has determined by taking into account of design
parameters such as velocity of air, wheel speed,
thickness of the desiccant and hydraulic diameter of the
desiccant wheel. For this purpose, the effect of desiccant
wheel parameters has investigated on the solar collector
surface. After that, optimum design parameters and
minimum solar collector surface have calculated. In this
cooling process, a mathematical model has used that
shows the physical properties of air. The calculated
values for the design condition show that necessary
solar collector surface has decreased about 45% in
comparison of an empirical model in equal operating
conditions.
Investigation Effects of Operating Conditions on the
Solar Collector Surface in Desiccant Wheel Cycle
In this work, effects of the operating condition of the
solar desiccant wheel cycle which for cooling process
with typical configuration naming the desiccant wheel,
heat exchanger and water spray evaporative cooler will
be investigated. The variations of solar collector surface
25
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27
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28
NOTES
29
i
CERS 2011
2013
Students
Students Industry
Industry Research
Research
http://cers.engr.psu.edu
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programs, facilities, admission, and employment without regard to personal characteristics not related to ability,
performance, or qualifications as determined by University policy or by state or federal authorities. It is the
policy of the University to maintain an academic and work environment free of discrimination, including
harassment. The Pennsylvania State University prohibits discrimination and harassment against any person
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to the Affirmative Action Director, The Pennsylvania State University, 328 Boucke Building, University Park,
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U.Ed. ENG 13-34

CERS 2013 - College of Engineering Research Symposium

Transcription

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