Collection

2009 Fall ASEE Middle Atlantic Section Conference

Authors

B. Samanta

TIME SERIES PREDICTION USING COMPUTATIONAL INTELLIGENCE B. Samanta biswanath.samanta@villanova.edu Department of Mechanical Engineering Villanova University, Villanova, PA 19085. Abstract: In this paper, two CI techniques, namely, single multiplicative neuron (SMN) model and adaptive neuro-fuzzy inference system (ANFIS), have been proposed for time series prediction. A variation of particle swarm optimization (PSO) with co-operative sub-swarms, called COPSO, has been used for estimation of SMN model parameters leading to COPSO-SMN. The prediction effectiveness of COPSO

Collection

2009 Fall ASEE Middle Atlantic Section Conference

Authors

Carl A. Erikson

I TEGRATED PROJECTS CURRICULUM: OPPORTU ITIES FOR HA DS-O ALTER ATIVE E ERGY PROJECTS Carl A. Erikson, Jr. mailto: erikson@messiah.edu Messiah College Department of Engineering Box 3034 One College Avenue Grantham, PA 17027 The Department of Engineering started a new curriculum called the Integrated Projects Curriculum (IPC) in 2007. It is a seven course sequence starting in the sophomore year of

Collection

2009 Fall ASEE Middle Atlantic Section Conference

Authors

B. Samanta; Chiraag Nataraj; Sanjeev Reddy; Mark Woods; C. Nataraj

SWARM ROBOTICS: RESEARCH EXPERIENCE FOR HIGH SCHOOL STUDENTS B. Samanta1*, Chiraag Nataraj2, Sanjeev Reddy3, Mark Woods4, C. Nataraj5 Abstract: The paper reports an exploratory project to provide research experiences on swarm robotics to high school students. A group of three simple mobile robots (Lego NXT) was used to study ‘search and rescue’ operation. A bio-inspired global optimization technique called particle swarm optimization (PSO) was used as the main algorithm. Each robot was placed in pre-defined positions with a target position corresponding to a single target. The robots would search in spirals till the target was found by any one of the

Collection

2009 Fall ASEE Middle Atlantic Section Conference

Authors

Sunghoon Jang; Kenneth Markowitz; Hong Li

modulating frequencies in order to find the best fit for the currentglucose sensing system. The data shown in Figure 4(a) was obtained from DC output of the lock-in amplifier by changing angle of the 2nd polarizer and various system gains were also applied.Then the system sensitivity was measured DC output of the lock-in amplifier using a fit of thedata as shown in Figure 4(b). We found the system sensitivity of 6.4429 V/Degree, which meansevery 10 millidegree of rotation gives about 64.429 mV VDC output. This sensitivity would begood enough to detect few millidegrees rotation of a glucose molecule. Calibration of Ope n Loop Optical Glucose Se ns or 14

Collection

2009 Fall ASEE Middle Atlantic Section Conference

Authors

Kevin Dahm; Thomas Merrill; William Riddell

gave a final presentation and submitted a final report. The full grading rubrics forthese assignments are given in Appendices B and C. Specifications included that the reportshould be a comprehensive description of the project, with detailed calculations supporting allquantitative results. Presentations by contrast would be no more than 10 minutes long and wouldfocus on the team’s most convincing evidence that the proposed product was feasible, had amarket and was worth funding for further development. Thus, the project provided a realisticexample of the roles of these two different forms of communication. The entrepreneurial projectalso offered an advantage over many previous SEC II design projects in that each presentationcovered a unique

Collection

2009 Fall ASEE Middle Atlantic Section Conference

Authors

Robert M. Brooks; Amithraj Amavasai

, B. and Ramage, J. 2003. Energy Systems and Sustainability. Oxford, UK, Oxford University Press. 5. Haldar, A and Mahadevan, S. 2000. “Probability, Reliability and statistical Methods in Engineering Design”, John Wiley and sons, New York. 6. Kuebler R. and Smith, 1976. “Statistics”, John Wiley and sons, Inc. New York.Table 1. Grading Formulas Control group Pretest group (Percent) (Percent)1. Assignments 20 202. Attendance and class participation 10 103. Mid-term examination 30 04.Final Examination 40

Collection

2009 Fall ASEE Middle Atlantic Section Conference

Authors

Laura Borowski; Mary Lowe; Robert Bailey

expressed by the equation S 2µ S (2) µF = µ B + twhere t is the average thickness of the film. This equation is modeled after an equation byTrapeznikov [8]. µB was measured to be 0.95 x 10-3 Ns/m2, using a Gilmont falling ballviscometer. We were not able to measure µSS. Instead, we used Vorobieff and Ecke’s value forµSS, 1.5 x 10-5 g/s. Average film thickness t was calculated by dividing the flow rate by theproduct of the velocity and the width of the film [1]. Our calculations of Re=ρVd/µF ranged from77 to 551. Because of the uncertainty in the value of µSS and the film velocity, we sought a wayto test the

Collection

2009 Fall ASEE Middle Atlantic Section Conference

Authors

Robert M. Brooks

,” John Wiley and sons, Inc., 2007. 2. Nash, R.f., 1988. The Rights of ature: A history of Environmental Ethics. Madison: University of Wisconsin Press. 3. Falk, Donald A., and Joy B. Zedler. 2005. Foundations of Restoration Ecology. Washington, D.C., Island Press 4. D. Pimentel et al., 1997. Water Resources: Agriculture, the Environment, and Society. Bioschienfe 4, 2. 5. Schiefer, H.B., D.G. Irvine, and S.C.Buzik. 1997. Understanding Toxicology: Chemicals, Their Benefits and Risks: Boca Raton, Fla. 6. Keller, E.A., and R.H. Blodgett. 2006. atural Hazards. Upper Saddle River, N.J.. Printice Hall. 7. Boyle, G., Everett, B. and Ramage, J. 2003. Energy Systems and Sustainability. Oxford, UK, Oxford

Collection

2009 Fall ASEE Middle Atlantic Section Conference

Authors

Kunhee Choi

lane width.CA4PRS OutputsAgency engineers, contractors, and consultants can use CA4PRS to determine the duration ofproject and to estimate the probability of project accomplishment within a given project duration.The former is called the deterministic analysis and the latter is referred to as the probabilisticanalysis. More specifically, the deterministic analysis determines (a) the duration of project, (b)maximum production rate, (c) critical resources, and (d) material volumes. It provides answers tothe following management questions: • How many lane-km could be finished within a closure? • How many closures in total are needed to finish the whole project, and what is the total duration of the closures? In

Collection

2009 Fall ASEE Middle Atlantic Section Conference

Authors

Sandeep Dilwali

mathematics content ofmost careers related to STEM disciplines is overwhelming, and therefore would muchrather pursue other careers which may be related to liberal arts, management, finance etc. This issue was analyzed and various factors were considered which possibly leadto this. Some of these factors were identified to be : (a) Career related aspects. Students do not know much about careers in the STEM fields, regarding 1. what the job entails, 2. compensation, 3. types of positions, 4. whether there will be enough jobs in those fields in the future 5. are jobs in those fields difficult to do 6. where are those jobs located(b) Education related aspects

Collection

2009 Fall ASEE Middle Atlantic Section Conference

Authors

Chien-tsung Lu; Mark Sherman

) mishap probability with Negligible (4) hazardseverity is also unacceptable because the hazard could be immediately mitigated with avery low cost (i.e., tool misplacement) otherwise hazard accumulation (i.e., complacency)may lead to a larger scale of damage. System safety tools implementation and regulatory compliance. This phaseprocesses the information/reports and receives the hazard probability from previousprocessing stage. The accident case of “Federal Express Flight 1478” was selected usingFTA (See Appendix A) and O&SHA for a conceptual demonstration (See Appendix B).The genuine value of this phase is to apply System Safety tools to conduct a detailedhazard-accident-incident analysis and provide counter-measures. The reports

Collection

2009 Fall ASEE Middle Atlantic Section Conference

Authors

S. Ranglin; D. Das; A. Mingo; O. Ukinamemen; G. Gailani; S. Cowin; L. Cardoso

Development of a Mechanical System for Osteon Isolation S. Ranglin 1, D. Das. 2, A. Mingo1, O. Ukinamemen 1, G. Gailani 1, S. Cowin2, 3, & L. Cardoso 3 1 Mechanical Engr. Tech. Dept., New York City College of Technology 2 Mechanical Engr. Dept., City College of New York 3 Biomedical Engineering Dept, City College of New York Abstract Osteons are small semi cylindrical hard tissues that exist in long bones of humans and some animals. Their diameter is in the range of 250 – 300 micrometers approximately. They contain the osteocytes

Collection

2009 Fall ASEE Middle Atlantic Section Conference

Authors

R. Radharamanan; Jeng-Nan Juang

anysignificant factors [7, 8]. For the factors that were found to be significant, regression equationswere developed followed by residual analyses. MethodologyThe largest problem that a project manager faces when dealing with software is how to managequality [9]. Poor quality often leads to schedule and cost overruns that can jeopardize futureworkload. Of the many factors that go into software development, the most prominent factors areexperience of the employee (A), complexity of the change (B), and the lines of code in thechange (C). Based on these three factors, the project manager should be able to predict whethera particular change will encounter quality issues in the future. By predicting when there

Collection

2009 Fall ASEE Middle Atlantic Section Conference

Authors

Muhammad M. Baig; Rafiqul Islam

using both assembly and high-level language programming. But it is neither sufficient nor in pace with our industry’s latest state of development. Most notable reasons are the: non- availability of (a) Text Book, (b) Experiment Book, and (c) Development Tools for both educators and students. Therefore, an educator must search here and there to complete and deliver each of his lessons adequately; thus, leaving the student feeling frustrated and unfulfilled in this course of study. This paper will intend to highlight difficulties and problems being faced in producing engineers & technologists who can be readily and respectfully absorbed in the

Collection

2009 Fall ASEE Middle Atlantic Section Conference

Authors

M. Nazrul Islam

it generates a very sharp and highly distinctive correlation peak.Then a different version of the same target fingerprint recorded at a different time is introducedinto the input scene as shown in Fig. 3(b). Though the input image varies significantly from thereference image in the database, but the proposed technique is observed to be very successful inrecognizing the fingerprint by producing a distinct correlation peak as shown in Fig. 3(c). Now anon-target fingerprint is employed in the input scene as shown in Fig. 4(b). The correlationsignals in Fig. 4(c) rejects the fingerprint by generating noisy signal where there is no distinctivepeak.Next, the proposed technique is investigated employing an input scene shown in Fig. 5(b

Collection

2009 Fall ASEE Middle Atlantic Section Conference

Authors

Ahmad Al-Daraiseh

inputspace of a specific problem while 1.b shows the opposite. The organization of this paper is as follows: In section 2 we present HART. In Section 3, wedescribe the experiments and the datasets used to assess the performance of HART, and we alsocompare HART to other ART and Genetic ART networks that attempted to resolve the categoryproliferation problem in ARTMAP. In Section 4, we summarize our work and draw someconclusions. II. EVOLVING HYBRID FAM/EAM NETWORKS (HART) In this article we assume that the reader is familiar with the Fuzzy ARTMAP (FAM) neuralnetwork architecture, its training phase, and its network parameters (for more info see [2]). Forevery classification problem (dataset) that we experimented with we

Collection

2009 Fall ASEE Middle Atlantic Section Conference

Authors

David Hergert

design project.References:Story, Louise. "New Bar Codes Can Talk With Your Cellphone." New York Times 1 Apr. 2007, natl. ed. : B1+.Fu, Gonzalez, and Lee, Robotics: Control, Sensing, Vision, and Intelligence, McGraw Hill, 1987.Groover, Automation, Production Systems, and Computer-Integrated Manufacturing, Prentice Hall, Second Edition,2001.Mark, Lamarche, Beginning iPhone Development: Exploring the iPhone SDK. Apress, 2009.Tables and FiguresFigure 1. Labview Barcode GeneratorFigure 2. Data Acquisition Using BarcodesFigure 3. iPhone Photo of Computer Screen"A" 100001001 "B" 001001001 "C" 101001000 "D" 000011001"E" 100011000 "F" 001011000 "G" 000001101 "H" 100001100 "J" 000011100 "K" 100000011

Collection

2009 Fall ASEE Middle Atlantic Section Conference

Authors

Orla LoPiccolo

. Given the same time duration to review their assigned visual aid – 12 minutes 3. Told that they would be asked one question after their review 4. After their review the visual aid was removed from each student or the projector screen and each student in each group was given a sheet of paper where they had to circle the visual aid they had reviewed (video or diagram) and answer the following question: “Please list five Passive Housing Concepts from your review of the visual material circled above.”Results:Please see Charts A and B, and Table C at the end of this manuscript.Conclusion:The test results support existing studies that show 65% of students to be ‘visual learners,’[43] andthat graphics with text provide a

Collection

2009 Fall ASEE Middle Atlantic Section Conference

Authors

Ti Lin Liu

frame is driven by input data. Second the frame issolved in Mathcad. Both Excel and Mathcad are used as equation solver. (Appendix A and B)2. Four bar linkage kinematic analysis in Excel with numerical differentiation. Thedisplacements of the linkage are driven analytically. The velocities and accelerations are solvednumerically. Both tabular and chart results of velocities and accelerations are given based oncenter difference formulas with Working Model 2D simulation (Appendix C).3. Short column with eccentric load. A 3D model in Solid Works is created with 3x4x8-in andimport into ALGOR FEMPRO meshing, imposing the boundary conditions /load and processing.The comparison of the CAE results and strength of materials results is given to show

Collection

2009 Fall ASEE Middle Atlantic Section Conference

Authors

Qinghai Gao

patterns consist of durations for each letter typed and latencies betweenkeytrokes. Monrose, Reiter, Li and Wetzel [3] proposed to harden a user’s password withkeystroke dynamics.Let φ1, φ2, …, φm denote the number of features that are measured during logins. For each featureφi, let Ti∈ℜ be a fixed parameter of the system. Let µi and σi be the mean and standard deviationof the measurements φi(j1),…, φi(jH) where j1,…, jH are the last H successful logins and H∈Ν is afixed parameter of the system.φi is a distinguishing feature for the last H successful logins if |µi – Ti | >K•σi, where K∈ℜ isanother system parameter.Let b(φi) be the bit representation of feature φi. Thenb(φi)=0, if Ti >µi + K•σi means the user consistently measures below Ti on

Collection

2009 Fall ASEE Middle Atlantic Section Conference

Authors

Philip L. Brach; Ahmet Zeytinci

instructor. To account for thesedifferences in faculty “rigor”, the authors propose the following ratio for “Handicapping” theinstructor’s performance in a given course. The ratio is called the “Instructor Handicap” (IH) andis equal to the ratio of the average cumulative grade point average (ACGPA) of all the studentsin the class divided by the average grade (AG) earned by the students in the course. IH = ACGPA / AG (1) For example: if the average grade of all students in a course was a C (2.000) and the averagecumulative grade point average of all the students was a B (3.000), than the Instructor Handicap 2(IH) would equal 3/2= 1.5. Likewise

Collection

2009 Fall ASEE Middle Atlantic Section Conference

Authors

Brian Linhares; Sharifa Happy; Hossein Rahemi

say that a new door will be opened to the concept idea offarmers cultivating their own technology to become the architects of their own agriculture.References:[1] Todd Rohde, Yaskawa. Yaskawa Electric America, Inc. 2009. [2] Phelan, Benjamin. How We Evolve. Seed Magazine. 2008. .[3] Bellis, Mary. History of American Agriculture. 2009. .[4] Bar-On, David. Hessel, Lior. Self Contained Fully Automated Robotic Crop Production Facility. 2002..[5] Useful Plant: Bamboo: What’s Bamboo? .[6] RHex Devours Rough Terrain. Boston Dynamics, 2009. .Tables and Figures: Figure 1: Evolution of Agriculture and Technology Figure 2: Orthographical views of concept robot (a) top view (b) right side view (c) front side

Collection

2009 Fall ASEE Middle Atlantic Section Conference

Authors

RAMAN LALL; TIMOTHY J. DONOHUE; JULIE C. MITCHELL

grant from the Department of Energy as partof the Genomics:GTL program (DE-FG02-04ER25627). The authors also thank Daniel Noguera andLaura Vanderploeg of the University of Wisconsin for support during the project.6. REFERE CES1. [Sjoberg et. al.] Sjoberg A, Persson I, Quednau M, Hahn-Hagerdal B The influence of limiting and non-limiting growth conditions on glucose and maltose metabolism in Lactococcus lactis ssp. lactis strain. Appl Microbiol Biotechnol 42:931-938 (1995)2. [Thomas et. al.] Thomas TD, Turner KW, Crow VL (1980) Galactose fermentation by Streptococcus lactis and Streptococcus cremoris: Pathways, products and regulation. J Bacteriol 144:672-682 (1980)3. Neves AR Metabolic Strategies to Reroute Carbon Fluxes in

Collection

2009 Fall ASEE Middle Atlantic Section Conference

Authors

Daryl Gruar

end of the ‘radius arm track’. This force is applied in thecentre of the channel with the force distributed through the side walls of the channel and carriedinto the cargo structure by the two bolts previously mentioned. • The resulting loads applied at each bolt location, are: Bolt ‘A’ 22.5N and Bolt ’B’ 194.0N. • The selected 6.4mm (1/4in) dia. bolt for the installation will need support a τave = 2.75MPa. • The ‘radius arm-track’, with 3mm side walls, will need be manufactured of a material that can withstand a shear stress of 1.52MPa.‘Radius arm’ – designThe radius arm is a 1292 mm (50.9in) long arm (with an effective length of 1242 mm (48.9in))that provides the drive from the motor/gearbox to the radius arm

Collection

2009 Fall ASEE Middle Atlantic Section Conference

Authors

Harvey I. Lyons

,schedule the critical needs for a project’s development and link the project’s development withmanufacturing processes, ergonomics, codes and standards and safety. The two-semester, typicalproject sequence follows:Senior Year: First Semester 1. Retrospective search 2. Development of ideas 3. Development of Proposal a. Scheduling/Critical Path b. Cost Factors c. Alternative designs d. Suggested specifications e. Prototype requirements f. Preliminary report 4. Submission of Initial Design ProposalSenior Year: Second Semester 1. Proposal returned with comments 2. Re-development of design 3. Re-development of scheduling 4. Prototype completion (if required) 5. Draft of final

Collection

2009 Fall ASEE Middle Atlantic Section Conference

Authors

Tom M. Warms

recursive function, the trace moves to the right, and the firstvalue that is entered is that of the return address (RET). The rest of the trace is as before. In theprogram in Figure 8, a recursive function, getLarge, is used to calculate the largest element in anarray. The return address marked a is in the top-level call, at the point where the result of thecalculation is assigned to large. The return address marked b is in getLarge, and is at the pointwhere the result of the recursive call is assigned to tempLarge. In the trace, the first 3 arrayelements are assumed to have values of 12, 28, and 15, and nElts is assumed to equal 3.The software supportFor each program in a variety of C++ programs that are encountered in the introductorycomputer

Collection

2009 Fall ASEE Middle Atlantic Section Conference

Authors

Elimchili Lyaro; Jennifer Biddle; Jaclyn Stanfield

Diagram 4Figure 3 – (a) Vehicle – Vehicle Communication (b) MHOVLS – Vehicle Communication (c) Vehicle – Driver Communication Figure 4 – (a) Acceleration System (b) Braking System Figure 5 – (a) Steering (b) Lane – Vehicle (c) Hazard 54.2. Functional analysisThe functional analysis of this design report describes the overall functions and options theSmart Car System encounters during an operational scenario. Each function has a color codesdesignation as shown in Figure 6. Figure 7 shows a high level operational scenario. Figure 6 – Smart Vehicle System Color

Collection

2009 Fall ASEE Middle Atlantic Section Conference

Authors

Suzanne Keilson

PRI CIPLES OF U IVERSAL DESIG FOR E GI EERI G STUDE TS Suzanne Keilson mailto: skeilson@loyola.edu Loyola University Maryland 4501 North Charles Street, Baltimore, MD 21210 The language and principles of universal design and accessibility represent an important shift in emphasis in design and design education. This has initially been most important for those designing homes for independent living for the aged and disabled and has had a broad impact in home design fields. Another area where accessible and universal design has made inroads is in web

Collection

2009 Fall ASEE Middle Atlantic Section Conference

Authors

Qinghai Gao; Xiaowen Zhang; Michael Anshel

functions, which are believed to bedescriptive for information security professionals. 4 We further developed the two ciphers to improve their security and proposed methods toapply them for information security. Specifically, we proposed to use DNA, RNA and proteinalphabets to represent information, to use pseudo random sequence to intronize plaintext, and touse modified genetic code for information translation. Future research will be on designing an encryption scheme in which a single ciphertext canbe decrypted into different plaintexts based on key(s).References[1] Landau, S. (2006). Find Me a Hash. Notices of the American Mathematical Society, 53(3): 330-332.[2] Pappu, R., Recht, B., Taylor

Collection

2009 Fall ASEE Middle Atlantic Section Conference

Authors

Ajaz Sana; Samir Saddawi; Akhil Lal

.22, No.11, November2004[4] Y Luo et al “A QoS Archetechture of Integrating GEPO and WiMAX in the Access etwork”, SarnoffSymposium, 2006 IEEE, pp.1-4, March 2006.[5] G. Kramer , B. Mukherjee, S. Dixit “Supporting Differentiated Classes of Services in Ethernet Passive Optical etworks,” OSA Journal of Optical Networking,vol.1,no 8/9, pp.280-289,August. 02.[6] Hussain, S.; Fernando, X.; “EPO : An extensive review for up-to-date dynamic bandwidth allocation schemes,“IEEE ,CCECE 2008. pp 511-516Control plane: AP 1310 nm channelData plane: Upstream:1310 nm channel Downstream:1550 nm channel AP