Collection

2008 ASEE Zone 1 Conference

Authors

Syed S. Rizvi; Aasia Riasat; Muhammad S. Rashid

1 Analytical and Speedup Models for Performance Evaluation of a Generic Reconfigurable Coprocessor (RC) Architecture Syed S. Rizvi1, Aasia Riasat2, Muhammad S. Rashid3Computer Science & Engineering Department, University of Bridgeport1, 3, Bridgeport, CT Department of Computer Science, Institute of Business Management2, Karachi, Pakistan {srizvi1, muhammsi3}@bridgeport.edu, aasia.riasat@iobm.edu.pk2AbstractNew analytical and the speedup models for evaluating the performance of a generic reconfigurablecoprocessor (RC) system are presented. We present a generic performance

Collection

2008 ASEE Zone 1 Conference

Authors

Omar A. Shehadeh; Aiman S. Kuzmar

The Opinion of the Engineering Faculty Members at the Hashemite University in Zarka, Jordan on Teaching Engineering Using Arabic Instead of English Omar A. Shehadeh Assistant Professor of Arabic Literature The Department of Arabic Studies, The Hashemite University, Zarka, Jordan Aiman S. Kuzmar, P. E. Assistant Professor of Engineering The Engineering and Engineering Technology Programs Penn State Fayette- The Eberly Campus, Uniontown, PA, USAABSTRACTEnglish is used in engineering education in Jordan. It is the opinion of the two

Collection

2008 ASEE Zone 1 Conference

Authors

Deepak S. Deepawale; Buket D. Barkana

have different AFC parameters, which will help us to classify the noisesource.2. MethodAutocorrelation Method assumes that the samples outside the time interval [n − M , n + M ] are all zeroand extends the prediction error interval i.e., the range over which we minimize the mean squareerror ± ∞ . For convenience, the short-time segment begins at time n and ends attime n + N w − 1( N w = 2 M + 1) .The short-time autocorrelation function can be given as, Nw −1−τφ[τ ] = ∑ s [m]s [m + τ ] m=0 n n (1)wheres n [m] = s[m + n] ∗ w[m] for m = 0,1,2,..., N W − 1 (2

Collection

2008 ASEE Zone 1 Conference

Authors

Gregory S. Parnell; Michael J. Kwinn

The First Course GREGORY S. PARNELL, Ph. D. MICHAEL J. KWINN, Jr., PhD Professor of Systems Engineering Associate Professor Department of Systems Engineering Department of Systems Engineering United States Military Academy United States Military Academy West Point, New York 10996-1779 West Point, New York 10996-1779 Office: (845) 938-4374 Office: (845) 938-5941 Mobile: (914) 720-3989 Mobile: (845)401-8361 FAX: (845) 938-5919

Collection

2008 ASEE Zone 1 Conference

Authors

Jalpa Bani; Syed S. Rizvi

A New Dynamic Cache Flushing (DCF) Algorithm to Prevent Cache Timing Attack Jalpa Bani and Syed S. Rizvi Computer Science and Engineering Department University of Bridgeport, Bridgeport, CT – 06604 {jbani, srizvi}@bridgeport.eduAbstractRijndael algorithm was unanimously chosen as the Advanced Encryption Standard (AES) by the panel ofresearchers at National Institute of Standards and Technology (NIST) in October 2000. Since then,Rijndael was destined to be used massively in various software as well as hardware entities for encryptingdata. However a few years back, Daniel Bernstein devised a

Collection

2008 ASEE Zone 1 Conference

Authors

Aasia Riasat; Syed S. Rizvi; Faraz Arain

1 Innovative Glass-Box Approach: A Better Way to Enhance Learning of Complex Dynamic Systems Aasia Riasat1, Syed S. Rizvi2, and Faraz Arain3 1 Department of Computer Science, Institute of Business Management, Karachi, Pakistan 2, 3 Computer Science and Engineering Department, University of Bridgeport, Bridgeport, CT aasia.riasat@iobm.edu.pk , {srizvi2, farain3}@bridgeport.edu 1 Abstract Due to increasing demand for simulation and

Collection

2008 ASEE Zone 1 Conference

Authors

Auf Akhtar; Syed S. Rizvi; Khaled M. Elleithy

1 A Novel Approach of Using Data Guard for Disaster Recovery & Rolling Upgrades Auf Akhtar, Syed S. Rizvi, and Khaled M. Elleithy {sakhtar ,srizvi, elleithy}@bridgeport.edu Computer Science and Engineering Department University of Bridgeport Bridgeport, CT 06601Abstract Though we already had a standardized way (from Oracle) for Disaster Recovery policy, a major crash ofthe PLM database made our DBAs to come up with a proposal to execute a procedure using

Collection

2008 ASEE Zone 1 Conference

Authors

Aaron S. Bradshaw; Gary N. McCloskey; Franklin Miguel

Development of a Civil Engineering Design Course Based On Reflective Action Aaron S. Bradshaw, Merrimack College Gary N. McCloskey, O.S.A. Merrimack College Franklin Miguel, Merrimack CollegeAbstractAdded to solid technical skills, there are a number of “soft” skills that a civil engineer must possess to besuccessful in practice. A concept for a course is proposed where students can develop technical and non-technical practice skills using the learning approach of reflective action which was first introduced byDonald Schon in the 1980’s. Reflective action is demonstrated through a design problem involving

Collection

2008 ASEE Zone 1 Conference

Authors

Robert Dees; Ken S. Gilliam; Michael J. Kwinn

Strictly Proper Scoring Rules in an Absolute Grading Environment – Preliminary Findings Robert Dees, MS, United States Military Academy Ken S. Gilliam, MS, United States Military Academy Michael J. Kwinn, Jr. PhD, United States Military AcademyABSTRACT: Strictly proper scoring rules are used to elicit a person’s true probability beliefs about anuncertain outcome. The application of strictly proper scoring rules to grading in an academicenvironment is not new and is typically restricted to classes centered on Decision Analysis. For thepurpose of explanation, a typical application of strictly proper scoring rules in academic grading would beas

Collection

2008 ASEE Zone 1 Conference

Authors

Rajesh G. Bachu; S. Kopparthi; B. Adapa; Buket D. Barkana

Separation of Voiced and Unvoiced using Zero crossing rate and Energy of the Speech Signal Bachu R.G., Kopparthi S., Adapa B., Barkana B.D. Electrical Engineering Department School of Engineering, University of Bridgeport AbstractIn speech analysis, the voiced-unvoiced decision is usually performed in extracting the information fromthe speech signals. In this paper, we performed two methods to separate the voiced- unvoiced parts ofspeech from a speech signal. These are zero crossing rate (ZCR) and energy. In here, we evaluated theresults by dividing the speech sample into

Collection

2008 ASEE Zone 1 Conference

Authors

Ryan A. Ebel; Donald S. Abbott-McCune; David Chang

Undergraduate Mechatronics Couse Design Project MAJ Ryan A. Ebel, United States Military Academy MAJ Donald S. Abbott-McCune, United States Military Academy MAJ David Chang, United States Military AcademyAbstractThere is a real need to educate our engineering students in the application of electronics, controls,mechanics, and software; this multidisciplinary initiative has led to the creation of an undergraduateMechatronics courses at the United States Military Academy (USMA) and many other universitiesaround the world. The focus of these courses is to emphasize application and hands on laboratory work ingeneral, and design projects in particular. This paper presents an

Collection

2008 ASEE Zone 1 Conference

Authors

Frank X. Wright; Marie-Pierre Huguet

Institution-Name of School]’s Introduction to Management,MGMT-1100. This course is designated as one half of the Institute’s communication requirement, and, assuch, awards performance. “The course, by design, makes you “think” by exposing you to managementand business situations, calling upon you to decide “what to do.” This requires both individual andteam performance criteria promoting a participative and active learning environment. The four broadareas of evaluation are (1) class participation and attendance, (2) case write-ups and presentations, (3)final executive presentation and (4) special assignments1.” This paper outlines a nearly eleven-yearchronology of the student’s improved performance as I, the instructor, journeyed into the

Collection

2008 ASEE Zone 1 Conference

Authors

Dean M. Aslam; Aixia Shao

provided in [50].Expected Impact Table 1 shows the possible impact on different audiences in different settings and environments. Theefficacy of the program discussed in this paper is based on teaching at the undergraduate/graduate(formal) and K-12 (informal) levels. It may be pointed out that no formal education research wasconducted to generate the Table 1. Thus, the data provided here is qualitative and is based on theassessment of instructors, parents and other professional observers (one of the observers had a doctoratein education). Table 1 Learning level (Basic, Intermediate, Advance), underlying STEMS areas (S, T, E, M), expected impact (Low,Normal, High), learner interest (Low, Normal, High), possible audience types (Families

Collection

2008 ASEE Zone 1 Conference

Authors

R. Radharamanan; Ha Van Vo

this paper clearly indicate the learning opportunities provided to the students at MUSE. Thestudents also participate in the multidisciplinary senior design projects in their final year. Theeffective use of theory classes, design and manufacturing lab facilities, multidisciplinary seniordesign projects, and co-op opportunities provide the students the needed expertise and preparethem well to meet the challenges in the industrial workplace.References[1] Davis, D. C., Gentili, K. L., Trevisa, M. S., and Calkins, D. E., “Engineering Design Assessment Processes and Scoring Scales for Program Improvement and Accountability,” Journal of Engineering Education, Vol. 91 (No. 2), 2002, pp. 211-221.[2] Dym, C. L., Sheppard, S. D., and

Collection

2008 ASEE Zone 1 Conference

Authors

Wei Cao; Yanqing Gao; Jason Robert Mace

different operation platforms work together as aswarming group; the organization and function of a swarming team is just like bees or ants. Theindividual intelligent robot can run in either autonomous mode or cooperative mode. Normally, there isone or more ground station(s) to coordinate and initiate the swarming team. The path planning andobstacle avoidance will become a part of formatted cooperative team work. The communication between the ground station(s) and individual intelligent robots has beendeveloped in a systematic manner in the past decade. However, there is no convinced and reliablephysical communication means between individual robots available. And the fact of that there isn’t anymethodology of information exchanging between

Collection

2008 ASEE Zone 1 Conference

Authors

M.A. Abuhelaleh; T.M. Mismar; A.A. Abuzneid

clustering result for the rest of the round. (see Figure1)Figure1. Cluster organization for sensor networks2.1 LEACH Protocol Routing in LEACH works in rounds and each round divides into two phases, the Setup phase and theSteady State; each sensor know when each round starts using synchronized clock. Initially, each sensor decides if it will be a CH or not based desired percentage of the CHs for thenetwork and the number of times the sensor has been a CH (to control the energy consumption), thisdecision is made by the sensor s choosing a random number between Zero and One. Then it calculates thethreshold for s T(s), then compare the random number with result T(s); if the number is less than T(s), sbecomes CH for the current round. T(s) for x

Collection

2008 ASEE Zone 1 Conference

Authors

Dean M. Aslam; Zongliang Cao; Cyrous Rostamzadeh

paper is based on teaching at theundergraduate/graduate (formal) and K-12 (informal) levels. It may be pointed out that no formal educationresearch was conducted to generate the Table 1. Thus, the data provided here is qualitative and is based on theassessment of instructors, parents and other professional observers (one of the observers had a doctorate ineducation) during 2006-07. Table 1 Learning level (Basic, Intermediate, Advance), underlying STEMS areas (S, T, E, M), expected impact (Low, Normal,High), learner interest (Low, Normal, High), possible audience types (Families, Children, Adults, College Students, Teachers,Professionals, Underserved, Retired, Boy Scouts, Hobbyists and Explorers), and possible locations (Museum, Science &

Collection

2008 ASEE Zone 1 Conference

Authors

Joseph Robert Yost; Randy D. Weinstein

individual department schedule constraints. Ingeneral, a single faculty member from each department is designated to be with the students forthe two week duration. Table 2: EGR 1700 Department Schedule (each for Che, ECE, ME, CEE ) W eek 1 M o nday Tue s day W e dne s day Thurs day Friday Le ctu r e 1 Le ctu re 1 Le ctu re 2 Le ctu r e 2 no thing 1 2 :3 0 -1 :2 0 1 :0 0 -1 :5 0 1 2 :3 0 -1 :2 0 1 :0 0 -1 :5 0 (Se c tio ns 2 ,3 ,4 ) (Se c tio ns 1 ,5 ,6 ) (Se c tio ns 2 ,3 ,4 ) (Se c tio ns 1 ,5 ,6 ) 0

Collection

2008 ASEE Zone 1 Conference

Authors

Peter Thomas Tkacik

camaraderie). 1Lastly, the race car outing generated immense publicity and Mechanical Engineering Technology studentsin particular have become engaged in the program. Both MET students and their faculty have sincejoined the Mechanical Engineering race teams and participate strongly. The Mechanical Engineeringclass prerequisites for “Motorsports Instrumentation” will be modified to accept the best of the METseniors for the upcoming fall semester class.What is in the motorsports program for the student‟s future?To get a feel for the immensity of the engineering need in this industry, consider that Nascar racingsupports 154 Sprint cup, Nationwide series, and Craftsman truck teams, in addition to a

Collection

2008 ASEE Zone 1 Conference

Authors

Eman Abdelfattah

distance vector routing for ad-hoc networks. A sequencenumber is used to tag each route. A route with higher sequence number is more favorable than a routewith lower sequence number. However, if two routes have the same sequence number, the route withfewer hops is more favorable. In case of route failure, its hop number is set to infinity and its sequencenumber is increased to an odd number where even numbers are reserved only to connected paths.1.2 Dynamic Source Routing (DSR)DSR is an on-demand protocol. It is composed of route discovery and route maintenance. In routediscovery, a node tries to discover a route to destination if it has to send data to this destination and thereis currently no known route(s). A node broadcasts a route request

Collection

2008 ASEE Zone 1 Conference

Authors

Elif Kongar; Paul Kontogiorgis; Nancy L. Russo; Tarek Sobh

most girls reporting a loss ofinterest in STEM around the age of twelve 9, there are now many studies reporting cases10 where womenenrollment is much higher than men in engineering societies. The collaborative environment of theactivities arranged by these societies may be a contributing factor in the change.Historically, about one-third of all bachelor’s degrees have been awarded in science and engineering.Even though women are 56% of the college population, women earned only 19.5% of engineeringbachelor's degrees in 200511. Despite this high retention rate, in the long run we observe an increasingtrend: Since 1970, the number of bachelor’s degrees in science and engineering (S&E) awarded annuallyto men has fluctuated around 200,000

Collection

2008 ASEE Zone 1 Conference

Authors

David I. Schwartz

internal measure) can represent a gamestate9. By dynamically adjusting difficulty, a game can adapt to different player abilities9, 10.Adapting the formalism and state4, 9, a score function at time t assigns a score s to a temporal game stateg: s: g →ℤ (3)where s ∊ Z and g = G(t). Thus, a score can provide a basic measure of temporal game state. FromSection 2, G(t) represents an abstract measure of temporal game state—state is an arbitrary representationof G’s components (Equation 1) at a specific time t. Thus, in Figure 2, state can replace score, usingEquation 3.For discrete systems (e.g., turn-based play), we can instead refer to time ti, score si

Collection

2008 ASEE Zone 1 Conference

Authors

Paul G. Ranky

-assessment ispossible. This means that students become more self-critical as they participatedirectly in their own learning process. Team, group and class assessment isintegrated into every module of our programs (supported by active codespreadsheets, computer programs, often with embedded 3D objects, video-clipsand animations) that the students can interrogate to understand either thequestion(s) or the answers better.The important observation about millennial generation students is that all of thenoted attributes should be respected, and that the education system should adjustto delivering these customer expectations at a high quality level. In this paper 1some tested

Collection

2008 ASEE Zone 1 Conference

Authors

Abdelshakour Abuzneid; Sarosh Patel; Viqar U. Mohammed; Varun Kumar Godula

power (1mW) and is therefore designed for short-range use of less than 10 meters.Bluetooth can support an asymmetric link with up to 723.2 kb/s in one direction and 57.6 kb/s in the return direction,or a symmetric link with 433.9 kb/s in both directions at once. Bluetooth devices switch frequencies 1600 times perseconds (frequency hopping) making it almost immune to security risks and external interference even though thedevices share the ISM band with many other wireless technologies. 1 Bluetooth devices are capable of both point-to-point and point-to-multipoint communications. Due to powerlimitations Bluetooth operates in

Collection

2008 ASEE Zone 1 Conference

Authors

Rashmi Jain; Keith Sheppard; Elisabeth McGrath; Bernard Gallois

design, encourage a mindset in which students seek technicalsolutions often rooted in a specific engineering discipline with little regard for the context in which theirproduct, system, or service may be deployed, the societal or business need(s) it may fulfill or even itsrelations to all the other engineering, business or ‘environmental’ domains that can contribute to success.In order to better prepare engineers with a systems perspective and the competencies to be effective insystem design, there is a need to promote the development of systems thinking in engineeringundergraduates. Coupled to these efforts we also see the merits of seeding this approach even earlier inK-12 communities as part of a movement to incorporate pre-engineering into

Collection

2008 ASEE Zone 1 Conference

Authors

David J. Palazzo; Chad C. Schools

acceleration, 3.8 g, is in accordance with many of today's roller coasters, where coasterengineers typically design for a maximum acceleration of 4 g. 9 o’clock 2 o’clock Figure 2a: Plot of Speed (m/s) vs. time (s) for the front cart. Figure 2b: Plot of Total Acceleration (m/s2) vs. Time (s) for the front cart. This analysis could easily be scaled to varying levels of difficulty and may also be suitable forengineering disciplines as well. Other physical phenomena which could be investigated from this casestudy include conservation of energy, non-conservative forces acting on the cart during its motion throughthe

Collection

2008 ASEE Zone 1 Conference

Authors

Beena Sukumaran; Joshua Bonzella; Kevin McGarvey; Heather Klein

distribution system projects in Honduras, El Salvador and Thailand and a fishhatchery and geothermal power generation design for Cheyenne, S. Dakota. One of the emphases ofEngineers without Borders is that project personnel involved with implementation of projects in differentregions of the world also maintain long standing relationships with them. In addition, a social survey isrequired of the local population and designs being implemented be approved by and not disrupt the socialfabric of the community. Previous works in the area that will be utilized by the projects include productredesign for the developing world as described by Weiss et al2. In their paper, they have described effortsat developing products that can be redesigned using local

Collection

2008 ASEE Zone 1 Conference

Authors

Bassem Alhalabi; M.K. Hamza; Ali Abu-El Humos

experiment’s parameters and Components control points, such as motors, solenoids, heating Figure 1. Remote Lab Environment (RLE) Components element, switches, etc.• Data acquisition & control unit (DAQ): an interface between the sensors and actuators, other instrument devices and computer- server(s). This module’s chief functionality is to communicate the computer commands to actuators as well as communicate the data measurements to the computer.• Computer (microcontroller): this component basically runs the experiment software and goes through the experiment steps and interacts with the user via the DAQ and sensors/actuators. Many controllers are available in the market. The National

Collection

2008 ASEE Zone 1 Conference

Authors

M.G. Guvench

fact the junior electronics courses (ELE342and ELE343) constituting prerequisites for this course also emphasize design but at a smaller scale andusing discrete BJT and off-the-shelf ICs rather than at the chip level using CMOS technology. Thisemphasis on “design” in our electronics sequence of courses has been implemented starting with an NSFgrant to establish and develop a “Computer-Integrated-Electronics” Laboratory (C.I.E. Lab) in the early1990’s. The concept of “Computer-Integrated-Electronics Laboratory” simply brings computers into theelectronics lab where designs implemented are tested for verification. Availability of PC-basedcomputational and graphics software along with inexpensive circuit simulation tools like “PSpice

Collection

2008 ASEE Zone 1 Conference

Authors

Eugeny Sosnovsky; Bradleigh Windsor; Yiming Rong

which function. From the customer’s order the design teamhas to develop a categorized list of functions. At this stage the design team specifies the mechanismtype(s) that perform(s) the functions the customer listed. From the categorized required function list thedesign team can extract the customer’s specifications for the mechanism to be designed.From the customer’s specifications for the mechanism to be designed the design team has to develop aproblem statement. A well–structured problem statement will outline the problem the mechanism issupposed to solve using non–restrictive language. Once the problem statement is made, the performancespecifications are outlined. The performance specifications include two components: functionalrequirements