Collection

2015 Northeast Section Meeting

Authors

A. Adebayo; E. Ososanya; W. Mahmoud; L. Thompson; S. Haghani; D. Shetty; Naresh Poudel; Ebenezer Acheampong; Batireedui Janjin; Niraj Khanal; Bhuwan Thapa; Bishal Khanal

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2015 Northeast Section Meeting

Authors

Hussain AlHassan; Navarun Gupta

performance. They consider it an essentialbase to affect subject productivity. However, relaxation, calming down, and confidence play majorroles in refining the efficiency of people’ s productivity. This paper concentrates on the internalfactors of individuals observing their performance during activity. It then analyzes brain signalsduring meditation and solving math problems by observing signals from the cerebral cortex of theparticipant using electroencephalography (EEG). Mastering the subconscious leads to improvingsubject productivity and performance. A person can change their habits and better themselveswithout using chemicals or drugs, and everything depends on a self-anchor. Meditation gives directaccess to hidden power and forces the mind to

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2015 Northeast Section Meeting

Authors

Hussain AlHassan; Navarun Gupta

to do. However, thediscomfort can be changed. Scientists have found that stimulating the brain from an unpleasantto a happy thought is possible by fooling the brain, even it is temporary. This study focuses onbrain signals during people’ s interaction with non-familiar situations (diluted mode), monitorstheir performance during familiar activity (concentration mode), and analyzes their performance.Cerebral cortex signals are analyzed from the participant using electroencephalography (EEG).The brain can be trained to deal with unexpected scenarios that lead to frustration. This study canhelp improve a person’ s life by training their brain to take proper action to deal with theirdiscomfort.KeywordsElectroencephalography (EEG), Concentrated

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2015 Northeast Section Meeting

Authors

Tooran Emami Ph. D.

2015 ASEE Northeast Section Conference Computer Simulation Modeling of a Real System in an Undergraduate Computer Control Systems Laboratory Tooran Emami U. S. Coast Guard Academy, New London, CT 06320AbstractThis paper presents the procedures for modeling a real time DC motor based on computersimulation in a Computer Control Systems laboratory. The lab is for undergraduate junior levelElectrical Engineering students at the United States Coast Guard Academy (USCGA). Thislaboratory enhances better understanding fundamental engineering concepts via hands onexperience. The objectives are to identify a continuous time transfer

Collection

2015 Northeast Section Meeting

Authors

Felipe Pait

The Cor dial Scientist Felipe Pait, Universidade de S Paulo May 2015Abstr actUsing the concepts of agency, voice, and authority 2, which lie at the foundations of learning, weargue for the necessity of unpreparing lectures, in opposition to the usual push towards moretechnologically sophisticated methods for preparation and delivery of content.Keywor dsGlobal experiences; disprepared lectures.Agency, Voice, Author itySeveral are the ways of teaching; and 3 are the foundations of learning: agency, voice, andauthority 2.Agency is perhaps the most immediate to the engineer: the learner needs to make herself

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2015 Northeast Section Meeting

Authors

Corinna Fleischmann; Elizabeth Nakagawa; Tyler Kelley

functions: two opposite perceivingfunctions and two opposite judging functions.”2 Isabel Myers and Katherine Briggs theninterpreted Jung’s theory in the MBTI personal type inventory, which is widely used today togive individuals a better understanding of their personality preferences and how they impact theirinteractions with others. Framing the course based on this theory gave the best opportunity toachieve the end goal of being able to excite and reach the entire audience across individuallearning preferences.Employing MBTI as a learning model, instructors focused specifically on the first twodichotomies, Extroversion vs. Introversion (E-I), and Sensing vs. Intuition (S-N). First, the E-Idichotomy focuses on where people direct and get their

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2015 Northeast Section Meeting

Authors

Md. M. Rashid; Mahbub Ahmed

2015 ASEE Northeast Section ConferenceHow to Make Our Syllabus Mor e Effective to Student’ s L ear ning Exper ience By Md. M. Rashid, P.E.1, and Mahbub Ahmed2AbstractSyllabus provides basic course related information to students, and creates a first impressionabout an instructor and his or her attitudes toward teaching. A syllabus is seen as an agreementthat serves as a “ virtual handshake” between an instructor and students regarding mutual rightsand responsibilities. Research indicates that a traditional syllabus contains checklists of itemsthat provide basic information such as course goals, course requirements, grading, schedule andso on. The existing literature contains many of

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2015 Northeast Section Meeting

Authors

Yu Wang; Farrukh Zia; Ohbong Kwon; Xiaohai Li

# 1003712). Digilent Inc provided the electronic components.References1 L. H. Jamieson and J. R. Lohmann, “ Innovation with impact: Creating a culture for scholarly and systematic innovation in engineering education,” Amer. Soc. Eng., Washington, DC, USA, 2012.2 J.E. Froyd, M. Borrego, S. Cutler, C. Henderson, and M. J. Prince, “ Estimates of Use of Research-Based Instructional Strategies in Core Electrical or Computer Engineering Courses,” IEEE Transactions on Education, Volume: 56 , Issue: 4, 2013 , Page(s): 393 - 3993 http://www.abet.org/4 A. Steinkogler, P. Leibl, A. Seemuller, “ Education for Collaboration,” 2012 the 18th International Conference on Engineering, Technology and Innovation (ICE), June 2012, Page(s): 1 - 95

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2015 Northeast Section Meeting

Authors

Gazi Murat Duman; Elif Kongar

. In supporting Paradiand Zhu14, Lau 12 discussed that based on DEA’ s simplicity of use and flexibility in datarequirement, it has become a popular tool 12. In his study, Mostafa 15 explained that the DEAtechnique is an adequate tool for benchmarking, since it allows the identification of a group ofefficient DMUs for each non-efficient one 15. Furthermore, Lee and Kim 16 mentioned that thegreatest merit of DEA is that it provides benchmarking guidelines for inefficient DMUs. For each 2 © American Society for Engineering Education, 2015 2015 ASEE Northeast Section Conferenceinefficient DMU

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2015 Northeast Section Meeting

Authors

Prerana Pal Karmokar; Shwetha Krishna Pondicherry; Elif Kongar

turning them into meaningful information to be used forproject management software selection problem. The collected data consists of a number ofvariables, objectives, quantitative, and conflicting in nature. The study predominantly focuses ofthe literature review of AHP and proposes an approach to the use of AHP for selecting projectmanagement software.KeywordsAnalytical Hierarchy Process (AHP), analytical hierarchy risk, decision making, projectmanagement, project management software.IntroductionManaging projects is a very challenging task and even more challenging is completing projectswithin budget and on time as well as meeting the industry’ s quality standards. Projectmanagement (PM) is clearly a risky endeavor with too many projects being

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2015 Northeast Section Meeting

Authors

Leonard Anderson; Michael Davidson

faculty and t e group’ external collaborator( ) mentor( ). The review was conducted outside of the design studio in a conference room with the options of teleconferencing if an external collaborator was not able to be on campus. Each team member was graded based on technical content and contribution, quality of presentation material, quality of presentation and how questions were addressed. These 4 categories are equally weighted in grading of the presentation. After the review, each group prepared an External Collaborator(s) Mid-term Report noting significant issues addressed, decisions made, and issues raised but not resolved at the Mid-term review

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2015 Northeast Section Meeting

Authors

Mahbub K. Ahmed; Kendra J. Ahmed; Md. M. Rashid; Scott McKay

of this work is to examine how students view online assessment in introductory engineering courses likestatics. Quizzes and tests with mostly formula type questions were used for assessment in this study. Through the use of assessmenttools and options available, tests and quizzes were designed so that each student obtained different versions of the exam or the quiz. Atthe end of semester, surveys were distributed to obtain student feedback on the assessment methods. The questionnaires were designedto obtain a student’ s r esponse on effectiveness, scheduling, flexibility, and lear ning r obustness, to name a few. As a r esul t, this studyfound that students prefer certain aspects of online assessment. This assessment type allows students

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2015 Northeast Section Meeting

Authors

Frank Caserta; James McCusker; Bo Tao; Gloria Ma

tothe application (the control group). Using Student’ s t-test, the students’ mean performanceimproved at a nearly, statically significance level. IntroductionSeveral faculty who teach mechanical and electrical engineering commented that students aresometimes weak in vector algebra [1,2,3]. This prompted us to do a preliminary survey ofstudents in classes taught by one of us. We found that first-year students were weak intrigonometry. Students at University choose engineering either because they like to do it, forfinancial reasons or they want to contribute to humanity [4]. Preliminary data in this study andfrom teaching experience suggest that they have some weakness in vector mathematics whichtends to

Collection

2015 Northeast Section Meeting

Authors

Anne L. van de Ven; Mary H. Shann; Srinivas Sridhar

from other STEM disciplines. Of these 50trainees, 50% have completed their Ph.D., 44% are progressing toward their Ph.D., with 6% havecompleted a terminal M.S. degree. The program’ s commitment toward diversity is exemplifiedby the fact that 54% of trainees were women and 22% were underrepresented minorities. Bioengineering Chemical Engineering Mechanical and Industrial Eng. Electrical and Computer Engineering Materials Science and Engineering

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2015 Northeast Section Meeting

Authors

Jeffrey R. Mountain

student outcomes. At this institution, the gradingprocess involves faculty evaluations of both the written and oral reports by faculty members thatwere not the project advisors; further strengthening the assessment while simultaneouslymitigating differences in expectations among different project advisors. While the direct effecton the ABET evaluation cannot be directly determined, the existence of the documentation wasproven useful in focusing an ABET evaluator’ s attention to the assessment and evaluationevidence necessary to conduct the program evaluation in a timely manner. Specific aspects ofthe relevant documents, the design project evaluation process, and an ABET evaluation scenariowill be presented.KeywordsABETAssessmentSenior Capstone

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2015 Northeast Section Meeting

Authors

Michael J. Davidson

mistakes? This discussionpresents the author’ s view on how to balance the use of software with the “ archaic” methods ofour ancestors in teaching structural engineering courses.Keywords: Structural Engineering, Software, EducationBackgroundWentworth Institute of Technology has been a fixture in Boston, Massachusetts for over 100years. The Institute has graduated hundreds of students in the civil engineering technology field(BSCET) and graduated it first class of students in civil engineering (BSCE) in August, 2014.The Institute is well respected for its hands-on approach to education. As a graduationrequirement, all civil engineering and technology students are required to have two – onesemester long co-op experiences. In an ever changing

Collection

2015 Northeast Section Meeting

Authors

Ramadhan J. Mstafa; Khaled M. Elleithy

Block Code, Embedding Efficiency, EmbeddingPayload.IntroductionDue to technological advances and the speed of the Internet, people are concerned that theirpersonal information will be stolen by hackers. In today’ s society, many data hiding algorithmsand steganographic algorithms have been introduced in order to protect valuable information.Steganography is one of the methods that protects and hides valuable data from unauthorizedpeople without hackers having any suspicion of the data’ s existence. The Human Visual System(HVS) cannot recognize a slight change that occurs in the cover data such as audio, image andvideo1,2. Unfortunately, many strong steganography analyzing tools have been provided tounauthorized users in order for them to

Collection

2015 Northeast Section Meeting

Authors

David Willis; Jeremy Vaillant

targeted questions were compiled toaddress both the committee’ s perspectives and concerns regarding the existing first year experi-ence as well as the general outcomes and observations from the focus group study. The overalloutcomes from this human-centered study included10: The students felt strongly about delivering relevant hands-on experiences. According to the students hands-on activities are important for maintaining motivation and connection to the discipline during their first year experience.10 The students’ responses suggested a strong preference for skills-based instruction and core engineering content over ‘ introductory information’ such as campus orientation. Skills-based instruction included

Collection

2015 Northeast Section Meeting

Authors

Ashwag G. Battarjee

. Using a systematic literature review, thestudy found out that e health played a significant role in improving the storage and retrieval ofmedical information, assisting doctors and healthcare practitioners when making decisions and inproviding healthcare to patients located in remote locations. The research however found out thatmost policy makers have a problem in quantifying the benefits of e health and cannot thereforesolicit enough funding and support to implement such systems. Poon, E.G., et al.25 document thatthe uses of modern IT solutions and bar code readers have significantly improved procurementand administration of prescriptions. Bar codes verify medications preventing errors andenhancing the patient’ s safety. Studies by Ammenwerth

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2015 Northeast Section Meeting

Authors

Junling Hu; Ruoxu Jia; Xiao Huang; Xingguo Xiong; Kai-tak Wan

θ affects the droplet wetdiameter d and height h during the droplet spreading process. Thespreading factor (d/D0) is the dimensionless wet diameter at thecontact, and the apex height (h/D0) is the dimensionless dropletheight at the centerline, both normalized by the droplet initialdiameter D0.Figure 2. Schematic of droplet attached to a surface: θ, contactangle; h, droplet height; d, droplet wet diameterResults and Discussion The paper studied a water droplet of diameter 2.7 mm impinging onto a solid wax surface withan impacting velocity of 1.55 m/s. The material properties of the water droplet and air are listedin Table 1. The Reynolds number, Weber number, Capillary number and Ohnesorge number are

Collection

2015 Northeast Section Meeting

Authors

Moses Tefe; Tara Kulkarni

Engineering Education, 2015 2015 ASEE Northeast Section ConferenceThis paper examines some of the programs that exist for engineering professors, and are aimed ataddressing the challenges that are faced by faculty, particularly in the small institutions whosefocus on teaching is different from the large research institutions that provide the doctoraltraining. 2. The nature of graduate studiesGraduate school provides opportunity for students to pursue master’ s degrees and doctoraldegrees. While masters degrees often provide students an opportunity to gain expertise in aspecialized field and return to professional practice, a few students continue to earn doctoraldegrees. Some of the doctoral students also end up working

Collection

2015 Northeast Section Meeting

Authors

Benjamin D. McPheron

© Amer ican Society for Engineer ing Education, 2015 2015 ASEE Nor theast Section Confer enceThis method is currently being implemented in an introductory digital signal processing (DSP)course. This course was chosen because previous work has demonstrated that hands-onexperiences in DSP courses can increase student’ s desire to learn5. Additionally, DSP laboratoryexercises are typically software based, not requiring any further hardware than student’ s personallaptops, which makes the mixed learning approach feasible6. Finally, the course possesses arelatively small student population from a variety of disciplines, making it a good choice forapplying this method.The studio laboratory exercises are designed to be

Collection

2015 Northeast Section Meeting

Authors

Vazgen Shekoyan; Sunil Dehipawala

Community College (QCC). QCC typically offers 4 lecture sections of thecourse with about 30 students in each section. Weekly distribution of course hours is 2.5 hoursfor lecture, 1 hour for recitation and 2 hours for lab. The official textbook for the course wasSerway & Vuille “ College Physics” .The second author (S. Dehipawala) was the lecture instructor for two sections of the course; onesection served as a control group and the other as an experimental group. In both sections weeklyhomework assignments consisted of end-of-chapter textbook problems. The course had threewritten class tests, several quizzes and one final exam. After homework collection solutions wereposted on the course web-page. Collected homework were graded and returned

Collection

2015 Northeast Section Meeting

Authors

Matthew Stein

instant in time. Also seen in Figure 5 is ablock of text added by the student stating “ Tip velocity when bar was horizontal was 172in/s whichis 14.25ft/s. Calculated value was 14.32ft/s.” Note also that Figure 5 is a kinetic simulation of therod falling under the effect of gravity, whereas the previous figures demonstrated only kinematicsimulation. 5 © American Society for Engineering Education, 2015 2015 ASEE Northeast Section Conference Training engineers to devise their own means of teaching themselves is critical to an ABETaccredited program, yet it is not clear that traditional homework

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2015 Northeast Section Meeting

Authors

Kathryn Schulte Grahame; Diane Schilder; Christos Zahopoulos

of Engineering’ E ’s female ennrollment of 25%). Moreeover,the majorrity of the peersisting stud dents remainned minorityy as shown inn Figure 1. Figure 1. Race/Ethn nicity of Perrsisting Stud dents Hispaniic African n American Asian Mixed 9% % 4% 22

Collection

2015 Northeast Section Meeting

Authors

Colleen Symansky; Hudson Jackson; Kassim Tarhini

local communities to ensure theprojects resemble future work that the students will experience as a civil engineer upongraduation. After a temporary list of projects is generated, the projects are grouped by discipline.Effort is made to have at least one project in each civil engineering subfield-structuralengineering, geotechnical engineering, environmental engineering, and construction or multiplecombinations of these depending on faculty interest and expertise. This list is then given to thestudents and feedback is solicited where they are able to rank order their top three project choicesas well as provide input on potential team members, or project focuses that they would prefer.With this input and an understanding of each student’ s

Collection

2015 Northeast Section Meeting

Authors

Linfeng Zhang

0 100 200 300 400 500 600 Time (s) Figure 6 The voltage and current outputs at irradiance 1000w/m2 Figure 6 is the dynamic response from the system as the resistance decreases from 10Ω to1Ω. Here, the sampling time is one second. The response is relatively short and the maximumovershoot is 11%.4. Conclusion The simulator can generate power with the current-voltage characteristics as a real PVmodule with maximum power points under different solar irradiances. It can be used for thedevelopment of maximum power point trackers, converters, and inverters. More tests will bedone on the response time and overshoot.References1. Arnaud

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2015 Northeast Section Meeting

Authors

Michael Geselowitz; John Vardalas

, the EC2000 Standards of ABET require that studentsreceiving the bachelor’ s degree “ understand the impact of engineering solutions in a global,economic, environmental, and societal context, while other national bodies have similarstandards2. We argued that history of technology and engineering, rather than ethics oreconomics—the common non-engineering courses taken by engineers—is the ideal lens throughwhich to address ABET’ s recognition that that, by its definition as the application of scientificknowledge to the solution of real-world human problems, engineering must respond to changingeconomic, political and social contexts.From 1990 to 2014, The IEEE History Center was located at and formally co-sponsored byRutgers, the State University

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2015 Northeast Section Meeting

Authors

Naser M. Alajmi; Khaled M. Elleithy

. Walters, et al., "Wireless sensor network security: A survey," Security in distributed, grid, mobile, and pervasive computing, p. 367, 2007.[5] Karlof, C. and Wagner, D., “ Secure routing in wireless sensor networks: Attacks and countermeasures” , Elsevier’ s Ad Hoc Network Journal, Special Issue on Sensor Network Applications and Protocols, September 2003.[6] Bo Yu and Bin Xiao, “ Detecting Selective Forwarding Attacks in Wireless Sensor Networks” , In Parallel and Distributed Processing Symposiun, 2007. ISSNIP 2006, 20th International, page 8 pp., 2006.[7] Bin Xiao, Bo Yu, and Chuanshan Gao, “ CHEMAS: Identify Suspect Nodes in Selective Forwarding Attacks” , In Parallel and Distributed Processing Symposiun

Collection

2015 Northeast Section Meeting

Authors

John E. Patterson

(FR) H2 Square footage (SF) H11 Surge risk (SR) H3 Perimeter length (PL) H12 Soil (S) H4 Lot size (LS) H13 Topographical elevations (TE) H5 Building value (BV) H14 Wetlands (WL) H6 Evaluation teams (ET) H15 Slow surge (SS) H7 Code date (CD) H16 Fast surge (FS) H8 Risk summary (RS) H17 Coastal buffers (CB) H9 Flood risk (FR) H18 Watermark (WM)The analysis of the above variables has several interconnections. The differing variables areused to evaluate the dependent