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Collection
2013 Fall ASEE Middle Atlantic Section Conference
Authors
Aime V. Mbakop; Ashenafi Lambebo; Lalindra Jayatilleke; Sasan Haghani
Jung, Kiryong Ha, Jeonwoo Lee, “Wireless Body Area Network in a UbiquitousHealthcare System for Physiological Signal Monitoring and Health Consulting”, InternationalJournal of Signal Processing, Image Processing and Pattern Recognition, volume 1, pp. 47[5] Mark A. Hanson, Harry C. Powell Jr., Adam T. Barth, Kyle Ringgenberg, Benton H.Calhoun, James H. Aylor, and John Lach, “Body Area Sensor Networks Challenges andOpportunities”, IEEE Computer Society, Vol.42, Issue 1, January 2009, PP. 58-65[6] Lim, S., Oh, T. H., Choi, Y. B., & Lakshman, T.. “Security Issues on Wireless Body AreaNetwork for Remote Healthcare Monitoring,” 2010 IEEE International Conference on SensorNetworks Ubiquitous and Trustworthy Computing, 2010, pp. 327-332[7] K
Collection
2013 Fall ASEE Middle Atlantic Section Conference
Authors
Gonca Altuger-Genc
DESIGN AND DEVELOPMENT OF A SELF-DIRECTED LEARNING COMPONENT FOR A MECHANICAL ENGINEERING TECHNOLOGY COURSE Gonca Altuger-Genc gencg@farmingdale.edu SUNY Farmingdale State College 2350 Broadhollow Road, Farmingdale, NY, 11735Abstract: ABET criterion 3.h for Baccalaureate Degree in EngineeringTechnology state that students have “an understanding of the need for and anability to engage in self-directed continuing professional development” uponcompletion of their program. In an effort to meet the ABET outcome and tointroduce students to self-directed learning, a semester project is developed to beimplemented in the senior level
Collection
2013 Fall ASEE Middle Atlantic Section Conference
Authors
Tony Kerzmann; Gavin Buxton
A New Research Class as the Capstone to an Alternative Energy Minor Tony Kerzmann 1 and Gavin Buxton 2 1 Department of Engineering, Robert Morris University. Kerzmann@rmu.edu 2 Department of Science, Robert Morris University. Buxton@rmu.edu 6001 University Blvd, Moon Township, PA 15108AbstractThe culmination of the alternative energy minor at Robert Morris University is a capstone coursewhich challenges the students and unleashes their creativity and enthusiasm for the minor. Thecourse, ENGR/ENVS4112 Energy Research Seminar, focuses on the current issues ofimportance in the alternative energy field. Each student
Collection
2013 Fall ASEE Middle Atlantic Section Conference
Authors
Hong Li
AN INNOVATED TEACHING TO MOTIVATE ACTIVE LEARNING - A CASE STUDY IN PROGRAMMING LANGUAGE COURSE Hong Li The New York City College of Technology-CUNY 300 Jay Street N914 Brooklyn, NY 11201 Abstract: In education institutions, most entering college students, with the aid of highly developed digital technology, have developed the intuition that enables them to be active learners. In today’s modern society, students and educators are interested in teaching approaches that enable students to learn at their own pace by leveraging their comfort with
Collection
2013 Fall ASEE Middle Atlantic Section Conference
Authors
Suzanne Keilson
PERSONAL REFLECTION ON A SUMMER EXPERIENCE TEACHING HIGH SCHOOL AND MIDDLE SCHOOL GIRLS Suzanne Keilson skeilson@loyola.edu Loyola University Maryland 4501 North Charles Street, Baltimore, MD 21210Abstract: This paper presents personal reflections on an experience of just a few days of teaching high school andmiddle school girls over the summer in a STEM outreach program. The program is intended to stimulate curiosityand excitement about college in general and education and careers in STEM in particular. This paper intends topromote a deeper conversation about the
Collection
2013 Fall ASEE Middle Atlantic Section Conference
Authors
Adam Paczuski; S.M. Krishnan
ANALYZING PRODUCT FAILURES AND IMPROVING DESIGN: A CASE STUDY IN MEDICAL ROBOTICS Adam Paczuski S.M. Krishnan Ph.D. paczuskia@wit.edu krishnans@wit.edu Wentworth Institute of Technology 550 Huntington Ave, Boston, MA, 02115Abstract: Robotic assistance is utilized in complex surgeries due to claims citingbetter procedure planning, enhanced user training, and overall improved operationwhen compared with conventional surgery. Robot-assisted surgery seems to be anincreasingly viable and acceptable option to the patient community with continualadvances in technology. However, questions arise about the safety aspects of therobotic assistance in
Collection
2013 Fall ASEE Middle Atlantic Section Conference
Authors
JIAJUN XU P.E.
)," Journal of Heat Transfer-Transactions of the Asme, 130(4).[14] Buongiorno, J., Venerus, D. C., Prabhat, N., McKrell, T., Townsend, J., Christianson, R., Tolmachev, Y. V.,Keblinski, P., Hu, L.-w., Alvarado, J. L., Bang, I. C., Bishnoi, S. W., Bonetti, M., Botz, F., Cecere, A., Chang, Y.,Chen, G., Chen, H., Chung, S. J., Chyu, M. K., Das, S. K., Di Paola, R., Ding, Y., Dubois, F., Dzido, G., Eapen, J.,Escher, W., Funfschilling, D., Galand, Q., Gao, J., Gharagozloo, P. E., Goodson, K. E., Gutierrez, J. G., Hong, H.,Horton, M., Hwang, K. S., Iorio, C. S., Jang, S. P., Jarzebski, A. B., Jiang, Y., Jin, L., Kabelac, S., Kamath, A.,Kedzierski, M. A., Kieng, L. G., Kim, C., Kim, J.-H., Kim, S., Lee, S. H., Leong, K. C., Manna, I., Michel, B., Ni,R
Collection
2013 Fall ASEE Middle Atlantic Section Conference
Authors
Timothy Chen Allen; Valbona Bejleri
ofknowledge about the parameter. Gelman et al [8] describe two basic interpretations about theprior distribution: the population of possible parameter values or our state of knowledge aboutthe parameter. In setting up the prior distribution, we choose a class of distributions based onmathematical convenience, which for a Poisson distribution would be the conjugate class ofgamma distributions, Gam(a,b). The predictive distribution, the distribution of the randomvariable Y|X, is negative binomial NB(r,p) with probability of success p=(bns+1)/(bt+bns+1) andr=z+a, where an integer approximation is taken instead of a. We use this distribution to predictthe annual occurrences of tropical storms. Data that record the number per year of tropical cyclones
Collection
2013 Fall ASEE Middle Atlantic Section Conference
Authors
Ashwin Satyanarayana
tools is that they are expensive and not easily accessible tostudents to download. Considering this, it would be best to use commercial tools for an advanceddata mining course and not for an introductory course. We will see later in this paper, that usingopen source tools for introductory courses is ideal.In this paper we will discuss 3 popular commercial tools: (a) SAS Enterprise Miner (b) MATLAB (c) IBM SPSS ModelerSAS Enterprise MinerSAS Enterprise Miner software streamlines the data mining process to create highly accuratepredictive and descriptive models. The models are based on analysis of vast amounts of datafrom across an enterprise. Interactive statistical and visualization tools help you better search fortrends and anomalies and
Collection
2013 Fall ASEE Middle Atlantic Section Conference
Authors
Franco Capaldi
Education, 2009.[4] DeVore, Statics Tutor, New Jersey: Prentice-Hall, 2000.[5] J. Iano, Shaping Structures: Statics, New York: John Wiley & Sons, 1998.[6] ISDC, "BEST Statics," [Online]. Available: web.umr.edu/~bestmech/preview.html.[7] E. Anderson, R. Taraban and S. Roberstson, "M-Model: A Mental Model based Online Homework Tool," Journal of Online Engineering Education, vol. 1, no. 2, 2010.[8] J. Lux and B. Davidson, "Guildelines for the development of computer-based instruction modules for science and engineering," Mechanical and Aerospace Engineering, 2003.[9] N. Hubing, D. Oglesby, T. Philpot, V. Yellamraju, R. Hall and R. Flori, "Interactive Learning Tools: Animating Statics," in American Society for Engineering Education, 2002
Collection
2013 Fall ASEE Middle Atlantic Section Conference
Authors
Nian Zhang; Charles Williams; Esther Ososanya; Wagdy Mahmoud
point of Q is a saddle point, and differentiating Q can provide the formulas asfollows, using Lagrangian multiplier method to solve the formulas: 𝜕𝑄 = 𝑤 − 𝑙𝑖=1 ∝ 𝑖 ∅ 𝑥 𝑖 = 0 (2) 𝜕𝑤 𝑙 𝜕𝑄 =− ∝𝑖= 0 𝜕𝑏 𝑖=1 𝜕𝑄 = 𝑤 𝑇 − ∅ xi + b + 𝜀 𝑖 − 𝑦 𝑖 = 0 𝜕∝ 𝜕𝑄 = 𝐶𝜀 𝑖 −∝ 𝑖 = 0 𝜕𝜀 𝑖From formulas above: 1 𝑙 1 ∝ 𝑖 ∅(𝑥 𝑖 ) 𝑙𝑗 =1 ∝ 𝑗 ∅ 𝑥𝑗 + 2𝐶 𝑙
Collection
2013 Fall ASEE Middle Atlantic Section Conference
Authors
Neelesh Kumar; Philippe Moussavou; Naresh Poudel; Devdas Shetty
MECHATRONIC INTEGRATION FOR PORTABLE HARNESS AMBULATORY SYSTEM FOR REHABILITATION OF GAIT DISORDERS OF ELDERLY AND STROKE SURVIVORS Neelesh Kumar a,b Naresh Poudelb neel5278@csio.res.in naresh.poudel1@gmail.com Philippe Moussavoub Devdas Shettyb philippemoussavou@gmail.com devdas.shetty@udc.edu Biomedical Instrumentation Unit, CSIR-CSIO, Chandigarh Indiaa School of Engineering & Applied Sciences, UDC, Washington DC USAbAbstract: Innovation in design, safety and feature enhancement of medical
Collection
2013 Fall ASEE Middle Atlantic Section Conference
Authors
Ralph Belton; Ahmet Zeytinci
have strengths in their knowledge of the building, testing,operation, and maintenance of building systems with the ability to produce and utilize basicconstruction documents and perform basic analysis and design of system components,whereas baccalaureate degree graduates are prepared to analyze and design systems, specifyproject methods and materials, perform cost estimates and analyses, and manage technicalactivities in support of architectural projects. OutcomesAssociate degree programs must demonstrate that graduates are capable of: a. employing concepts of architectural theory and design in a design environment; b. utilizing modern instruments, methods and techniques to produce A/E documents and
Collection
2013 Fall ASEE Middle Atlantic Section Conference
Authors
Birajan Singh Bista; Paul Cotae
. The transfer function of an IIR filter is given by the following equation: 𝐻 ( 𝑧) = ∑ 𝑘=0 𝑏(𝑘)𝑧 −𝑘 𝑀−1 1−∑ 𝑘=1 𝑎(𝑘)𝑧 −𝑘 𝑁 (2) where {a(k)} and {b(k)} are the filter coefficients. These filters are also known as recursive filters because its output depends upon the pastvalues of the output as well. So, in order to represent the past values of the output, a feedbacksystem is required. In other words these can be considered as system
Collection
2013 Fall ASEE Middle Atlantic Section Conference
Authors
Faruk Yildiz
loads (AC receptacles, LED light bulbs, heater, AC motor)power inverter and step-down transformerbattery (with protection fuse)solar thermal air heating systemsolar thermal water heating systemDMMs and amp-meterstemperature, light, sound, mass, rotary, force, VI, rainfall, humidity sensorsbarometric pressure, heat index, wind chill, dew point sensorspiezoelectric materialsfriction, thermoelectric, and flywheel kitsVarious renewable energy kits were purchased or built for the K-12 grade level students. Thesekits are usually accompanied with lab manuals which are more simplified and in greater detail tooffer more experiments and demonstrations. The units are a) Power House Green EssentialsEdition, b) Solar Super Racing Car, c) 6 in 1 Educational
Collection
2013 Fall ASEE Middle Atlantic Section Conference
Authors
Abdullah Alkharashi; Mark Rajai; Alireza Kabirian; Saeid Moslehpour
, Street, Northridge, Northridge, CA CA 91330 91330Abstract In this paper, the authors discuss the reality of the credit crunch in the U.S. and where it will lead in thefuture. They also investigate the role of government actions and interventions during the recent crisis and comparethis recent economic recession to previous recessions. Finally, recommendations are presented for avoiding similarcrises in the future such as lowering corporate tax rates, offering a payroll tax holiday to U.S. workers, protectinghome mortgages, offering states a $500 per capita federal distribution, reducing crippling regulations for business,making the U.S. educational system more
Collection
2013 Fall ASEE Middle Atlantic Section Conference
Authors
Raju Shrestha; Paul Cotae
+ ) 𝑁where C is the capacity in bits/second, B is the bandwidth of the channel in Hertz, and S/N is thesignal to noise ratio. According to information theory, the channel capacity is the maximumaverage information that can be sent per channel use. Mutual information is the function ofprobability distribution of transmitted signal. By changing the probability distribution oftransmitted signal, we receive different I(X; Y).A maximum mutual information achieved for a given transition probability matrix (a fixed 𝐶 𝑥 = max 𝑝 𝑥 𝐼(𝑋; 𝑌)channel characteristics) is the channel capacity.The mutual information I(X; Y) is the relative entropy between the joint distribution and the
Collection
2013 Fall ASEE Middle Atlantic Section Conference
Authors
Rebecca Arielle Citrin
ASSESSMENT STRAGIES FOR SUSTAINABILITY EDUCATION MODULES Rebecca Arielle Citrin Lafayette College 111 Quad Drive, Box #8407, Easton, PA 18042AbstractIn order to evaluate the effectiveness of informal environmental engineeringeducation for students ranging from grades K – 12, assessment techniques will beresearched and developed. Environmental engineering modules implemented ininformal settings, such as in after school programs or museum-based settings,with a specific focus on sustainability, will be used as a basis for this research.Literature reviews will be conducted in order to determine what a goodassessment tool consists of for
Collection
2013 Fall ASEE Middle Atlantic Section Conference
Authors
Toure Cort; Adityen Sudhakaran; Shankar Krishnan
3D Rapid Prototyping and Prosthetic Mitral Valve Design Toure Cort Adityen Sudhakaran Shankar Krishnan, Ph.D cortt2@wit.edu sudhakarana@wit.edu krishnans@wit.edu Wentworth Institute of Technology 550 Huntington Ave, Boston, MA, USA 02115Abstract: Heart diseases lead to a large number of deaths globally. Some of thesediseases can be a result of mechanical, electrical, or biochemical complications within theheart. Among heart valve diseases, mitral valve diseases are common. A diseased mitralvalve negatively affects the amount of blood that fills the left ventricle, thus decreasingcardiac output. It is reported that over 2 million Americans
Collection
2013 Fall ASEE Middle Atlantic Section Conference
Authors
Adityen Sudhakaran; Toure Cort; Shankar Krishnan
problems at an undergraduate level lay a good foundation for learning design and product development. Undergraduate research is not mandatory in many Biomedical Engineering (BME) programs, especially in 4-year colleges. However, getting involved with a research project for academic credit or for gaining research experience will be very beneficial to students in the BME program. With respect to product design, medical implantables offer a complex and interesting challenge for BME students. The need to understand the three-dimensional form of the constituent parts and how they fit in the sub-assembly and in the main product, with the help of modern techniques such as 3D Rapid Prototyping could be highly rewarding to
Collection
2013 Fall ASEE Middle Atlantic Section Conference
Authors
Alan Wheatley; David Baglee; Mike Knowles; Alastair Irons
THE ROLE OF HIGHER EDUCATION PROVIDERS INPROMOTING MANUFACTURING GROWTH WITHIN THE UK Alan Wheatley David Baglee Mike Knowles Alastair Irons Alan.wheatley@sunderland.ac.uk david.baglee@sunderland.ac.uk michael.knowles@sunderland.ac.uk alastair.irons@sunderland.ac.uk Department of Computing, Engineering and Technology, University of Sunderland St Peters Way, Sunderland, SR6 0DD, UKAbstract: Manufacturing is crucial in the UK, contributing some £150bn ($231bn)pa to the economy. Since 2009, there has been something of a post-recessionrecovery in both the UK and the EU, but this has been relatively insignificant, suchthat manufacturing output in the UK remains below that of
Collection
2013 Fall ASEE Middle Atlantic Section Conference
Authors
Steven Chetcuti; Hans Thomas; Brent Pafford
understanding. This paper will present the development, structure and lessons learned during the establishment of a blended flipped classroom for engineering students at the undergraduate level. A range of topics including software used for video development to evaluation and assessment techniques is discussed. Problem solving is a critical component of engineering education; an engineering student must be able to apply the knowledge gained from a lecture. However, duration of student contact in the classroom is constrained by credit hours. For many students, graded homework assignments and exams are the only experiences they have in solving complex engineering problems. Virtual lectures provide students the opportunity to apply their
Collection
2013 Fall ASEE Middle Atlantic Section Conference
Authors
Mustafa Yasin Yenice; Valbona Bejleri
, World Development Indicators, 2012, covering the US data from 1949 to 2011. The results suggest that Fossil Fuel Price has a long term relationship with CO2, and Renewable energy consumption. In the short term, we found bidirectional causality between CO2 emission and Fossil Fuel prices. However, the presence of uni-directional causality seems to run from GDP as well as renewable energy to fossil fuel prices. Keywords: Renewable Energy, Johensen cointegration, Vector Error Correction Model, Granger Causality, USA1. Introduction Beginning from the industrial revolution in the 1800s, energy from fossilfuels, particularly oil, has been very important for economic growth, inmanufacturing and industrial sectors. However, energy
Collection
2013 Fall ASEE Middle Atlantic Section Conference
Authors
Daniel Gebremicheal; Paul Cotae
channels (2, 3) DMC,Threshold devices, Probability of false alarm, Stochastic Resonance (SR), Signal to noise ratio(SNR).I. INTRODUCTION In Binary-Input Ternary-Output Discrete Memoryless Channels, the optimumdetector compares the input signal with a set of three arbitrarily defined thresholdsin the presence of Additive White Gaussian Noise [1]. The placing of thethresholds as shown in Fig.(1) is in such a way that minimizes the probability oferror and maximize the probability of correct detection. Threshold devices can enhance the efficiency of a distributed wireless sensornetworks and reduce the cost of target detection by minimizing the probability offalse alarm under noisy and realistic conditions. In underwater acoustic wirelesssensor
Collection
2013 Fall ASEE Middle Atlantic Section Conference
Authors
Aiman S. Kuzmar
for fifteen days in the period between the spring and summer terms. An investigation was conducted to compare this type of course delivery to the normal fall and spring terms. It was found that intensive short courses achieved the same results with a slight advantage. Materials were delivered as expected. Students performed better, and as a result grades were better. Both the instructor and the students liked this type of course delivery. Several factors contributed to this slight increase in efficiency. The study however showed that this type of offering courses might not be suitable for all courses. It might not fit all students either.Key Words: Course Duration, Intensive courses, Students’ Comprehension, Education