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2015 St.Lawrence Section Meeting

Authors

Xingwu Wang; Bruce B. Rosenthal; Casey J. Busch; Jeff Porter; John L. Cusack

, Research and Sustainable Campus operations,” Journal of Education for Sustainable Development, Vol. 3, (2009), pp. 55-64. 2. R. Medrick, "A Pedagogy for Sustainability Education", Journal of Sustainability Education, Vol. 5, 2013, p 2. http://www.jsedimensions.org/wordpress/content/a-pedagogy-for-sustainability- education_2013_06/. 3. P. A. Minguet, M. P. Martinez-Agut, B. Palacios, A. Pinero, and M. A. Ull, “Introducing Sustainability into University Curricula: an Indicator and Baseline Survey of the Views of University Teachers at the University of Valencia,” Environmental Education Research, Vol. 17, (2011), pp. 145-166. 4. M. Barth, and M. Rieckmann, “Academic Staff

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2015 St.Lawrence Section Meeting

Authors

Abraham L. Howell

hardware robots. Our goal was to create a low-cost, flexible, fully open sourcerobot that can be used as a teaching tool across the educational spectrum and as a research tool inthe area of swarm robotics. OPEN-ROBOT is a two-wheeled, differential drive robot that hasbeen designed to use off-the-shelf components where possible. 4 Proceedings of 2015 St. Lawrence Section of the American Society for Engineering Education Figure 1. Images of OPEN-ROBOT shown with WiFi (left image) and Stonyman vision sensor (right image).Above in FIG 1 it can be seen that OPEN-ROBOT supports popular, off-the-shelf WiFi modulessuch as the MatchPort b/g from Lantronix (left image) and the RN-XV module (right

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2015 St.Lawrence Section Meeting

Authors

Asif Rahman; Gokul Gopakumar

Demand Side Optimization using a Load Shifting Algorithm A proposed load shifting algorithm for reduction of peak power consumption in residential areas

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2015 St.Lawrence Section Meeting

Authors

Carol Stokes-Cawley; Katie Cadwell

Proceedings of 2015 St. Lawrence Section of the American Society for Engineering Education  Project ENGAGE: A Summer Immersion Experience in Engineering for Middle School Girls Carol Stokes-Cawley and Assistant Professor Katie Cadwell Syracuse UniversityIntroductionProject ENGAGE (Empowering the Next Generation: Advancing Girls in Engineering) isSyracuse University's (SU) summer residential engineering program for high-ability middleschool girls. The mission of this program is to increase talented rising 8th and 9th grade girls'knowledge of, and interest in, engineering as a means to contribute to positive societal change.The vision of the

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2015 St.Lawrence Section Meeting

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Anthony DePina; Kevin Burnett; Molly Mariea; Michael Bush; Christina Amendola; William Nowak; Jason Kolodziej

Multidisciplinary Capstone Design: VIA Dynamic Load Simulation On A Journal Bearing Test Rig In 2010, Dresser-Rand, a global supplier of rotating equipment, donated ESH-1 reciprocating compressor to the Rochester Institute of Technologyand has continually sponsored multidisciplinary senior design (MSD) projects. Dr. Jason Kolodziej, Assistant Professor of Mechanical Engineeringat Rochester Institute of Technology, commissioned the construction of a dynamic journal bearing similarity test rig. The objective of this rig is toreduce the time required to perform seed of fault research of journal bearings. The project was split into a two phase build utilizing twoconsecutive multidisciplinary senior design teams. While the

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2015 St.Lawrence Section Meeting

Authors

Matin Meskin; Ilya Y. Grinberg; Mohammed Safiuddin

Test Bed for a Cyber-Physical System Based on Integration of AdvancedPower Laboratory and eXtensible Messaging and Presence Protocol Matin Meskin Ilya Grinberg Mohammed Safiuddin PhD Candidate Professor Professormatinmes@buffalo.edu grinbeiy@buffalostate.edug safium@buffalo.edu Joint SUNY Buffalo State/University at Buffalo Smart Grid LaboratoryAbstract Microgrid ParadigmToday, Supervisory Control and Data Acquisition (SCADA) system is used widely in substations and

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2015 St.Lawrence Section Meeting

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Yasha Chaturvedi; Morgan Thomas

  Figure 4: Basics of grid. a) PLC b) Ethernetlower peak demand to off peak times.  c) Wireless ReferencesHowever, robust communication  Table 1: : Illustrates best technology according to the requirement

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2015 St.Lawrence Section Meeting

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Katie Knowles; Nick Bovee; Duc Le; Keith Martin; Mollie Pressman; Jonathan Zimmermann; Rick Lux; Raymond Ptucha

Based on Particle Filter,” in IEEE 8th Conference on Industrial Electronics and Applications (ICIEA 2013), 2013.[14] R.W. Ptucha, A. Savakis, “LGE-KSVD: Robust Sparse Representation Classification”, IEEE Transactions on Image Processing, Volume 23, Issue 4, 2014.[15] G. E. Hinton, S. Osindero, and T. Yee-Whye, "A fast learning algorithm for deep belief nets," Neural Computation, vol. 18, pp. 1527-54, 07/ 2006.[16] Z. Kalal, J. Matas, and K. Mikolajczyk, “P-N learning: Bootstrapping binary classifiers by structural constraints,” CVPR, 2010.[17] B. Babenko, M.-H. Yang and S. Belongie, "Robust Object Tracking with Online Multiple Instance Learning," IEEE Trans. PAMI, 2011. 12

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2015 St.Lawrence Section Meeting

Authors

Tun Zhang; Ji Yang

Signal Processing in the Electrification of Vehicular Transportation L. C. Smith College of Engineering & Computer Science, Syracuse University Tun Zhang & Ji Yang A charging EV may present a load to the electric grid of the same order INTRODUCTION of magnitude as a typical home. The connection of loads of this

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2015 St.Lawrence Section Meeting

Authors

Arnav Kavadia; Sanjna Pawar; Tomislav Bujanovic

The Smart Grid: Operational, Privacy, Security & Economic Issues Arnav Kavadia, Sanjna Pawar and Prof. Dr. Tomislav Bujanovic Problems with Implementing a Smart Grid Introduction Issues

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2015 St.Lawrence Section Meeting

Authors

Xiaoyu Guo; Anirban Ganguly

Power Grid Fault Detection in Noisy Environment using PMU Xiaoyu Guo and Anirban Ganguli The examples of sinusoid approximation based on a 3‐sample window filter The noise suppression rate increase with the length of the window. The INTRODUCTION

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2015 St.Lawrence Section Meeting

Authors

Jinnan Hussain; Wolf Peter Jean-Philippe

Adaptive Frequency Estimation in Smart Grids Jinnan Hussain and Wolf Peter Jean Philippe Date: 4/6/2015Introduction Simulations Conclusion The system frequency of a power grid is the frequency

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2015 St.Lawrence Section Meeting

Authors

Elena V. Brewer; Anthony P. Dalessio

Proceedings of 2015 St. Lawrence Section of the American Society for Engineering Education Providing On-Line Access to State-of-the-art Nanotechnology Instrumentation to STEM Programs Dr. Elena V. Brewer & Anthony P. Dalessio Erie Community CollegeAbstractIn the current economic environment, it is not feasible to equip each college with the state-of-the-art equipment necessary to teach certain technology intensive disciplines. One example ofsuch a discipline is the field of nanotechnology, which encompasses: semiconductor fabrication;medical, pharmaceutical and biological applications; and material science amongst many

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2015 St.Lawrence Section Meeting

Authors

Ryan Milcarek; Ryan Falkenstein-Smith; Jeongmin Ahn

Proceedings of 2015 St. Lawrence Section of the American Society for Engineering Education Developing T-Shaped Professional Energy Systems Engineers Ryan Milcarek1, Ryan Falkenstein-Smith1, and Dr. Jeongmin Ahn1 1 Department of Mechanical and Aerospace Engineering, Syracuse University, Syracuse NY, 13244Abstract A fuel cell science and technology course was created to promote the development of T-shaped professional energy systems engineers. The course structure consists of lectures as wellas laboratory sections to reinforce principles discussed in class. Survey results conducted on thefirst day of class, at the midterm and on

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2015 St.Lawrence Section Meeting

Authors

Tian Wen; Kangping Li

Observing the Power Grid by Real-time Frequency Data Tian Wen & Kangping Li Method Frequency Introduction deviation patterns The traditional power grid has been fairly opaque from a We combine operational frequency pattern

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2015 St.Lawrence Section Meeting

Authors

Iulian Gherasoiu; Mohammed Abdallah; Digendra Das; Daniel K. Jones; Harry Efstathiadis

Proceedings of 2015 St. Lawrence Section of the American Society for Engineering Education Nanotechnology Education at SUNY PolyIulian Gherasoiu1, Mohammed Abdallah1, Digendra Das1, Daniel K. Jones1, Harry Efstathiadis2 1 College of Engineering, SUNY Polytechnic Institute 2 Colleges of Nanoscale Science + Engineering, SUNY Polytechnic InstituteAbstractOver the last decade, New York State has become a hub of nanotechnology for the east coast andone of the leading centers in the country in this field. The creation of new nanoelectronicsfacilities and the expansion of others has generated a need for highly skilled, yet adaptable workforce to

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2015 St.Lawrence Section Meeting

Authors

Danush Tumkur Ravishankar; McCleve Paul‐Gerald Joseph

renewable sources are not available equally at all places and at all times. Hybridand large power plants to consumers, but Electric Vehicle is a viable answer to most of the existing problems because of some ofthe system is just about to change, to satisfy its advantages over its competitors :some emerging needs. Electric Vehicle (EV) is 1) The energy storage capacity of the batteries are increasing everyday. With the introduction of Li-Pol(Lithium ion polymer batteries) there has been a majorseen as a suitable solution to most of the change in electric vehicle industry.existing problems as it also presents a 2) The

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2015 St.Lawrence Section Meeting

Authors

Zachary Gallagher

  response so they cannot be used for  utilization of wasted wind energy. Charging of  providing power during transient Electrical Energy is the energy due to  energy storage systems can occur at night  operations.  These systems include a difference in electrical potential when wind energy is at its peak and loading  electrolysis, pumped hydro, and Energy storage devices store this  is at its minimum compressed air systems. energy in other forms such as chemical, thermal, magnetic, and other forms.Efficiency is the

Collection

2015 St.Lawrence Section Meeting

Authors

McCleve Paul‐Gerald Joseph; Danush Tumkur Ravishankar

. The DC‐Link voltage is maintained at the expectedThe large number of electric vehicles (EV) in the The system was modeled on Matlab Simulink. On The purpose of the simulation is to test the value of 680V and the THD of the dischargingglobal markets in near future implies that the the grid‐side, as shown in Fig.2, a voltage source performance of the proposed charger in both Grid‐ process is around 2.54% which shows a goodengineering community must develop bidirectional control is employed for AC system bus voltage and to‐Vehicle and Vehicle‐to‐Grid scenarios. stability in Fig.7.charger system that would allow efficient

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2015 St.Lawrence Section Meeting

Authors

Zhengyan Wang; Yuan Yuan

Demand‐side Management in the Smart Grid Zhengyan Wang & Yuan Yuan Syracuse University INTRODUCTION ARCHITECTURE OF FUTURE GRID SIMULATION RESULTSAt every second in power grid, energy generated is equal to energy  Information domain for future smart grid Simulation of direct load scheduling for EV charging consumed. This process is dynamic and should be controlled. If the  Demand side control strategies are practical  only  when digital  In a