. Figure 3. Block diagram and SIMULINK model for the 1DOF systemAssume the mass of a printed circuit board (“PCB”) board M is 25 gram and the spring constantK is 40 N/mm. The input half-sine function is defined by the JEDEC standard as peakacceleration A0 is 1500 Gs and time duration ϖ is 0.5 milliseconds. With these parameters definedin the MATLAB/SIMULINK model, the input pulse and system dynamic response for the outputdisplacement and acceleration are obtained in Figures 4-6. The horizontal axis is time (s) and thevertical axis is the input excitation corresponding to Gs, displacement (m), and acceleration (Gs),respectively. The output displacement oscillates up and down with the same peak value
key enzyme in NAD+ regeneration, the glycolytic flux shifts from homolactic to mixed acid fermentation with the redirection of pyruvate towards production of formate, acetate, ethanol and carbon dioxide. A mathematical model of the pyruvate metabolism pathway that enhances our understanding of ethanol production was developed from in vivo nuclear magnetic resonance (NMR) time series measurements that describes the dynamics of the metabolites in L. lactis. An S-system model based on the power law representation was able to capture the observed dynamics of the pyruvate metabolism pathway in L. lactis in vivo. The model provides insights into the maximization of selectivity
Blue llow data po ointsare with t motor ru the unning at 100 power: B with a s 0% Blue small hub fo the pulley, Yellow wit a or , th [5]large hub The Red data points ar with the m b. d re motor runnin at 50% wi the small hub . ng ith lGiven the graphs and an overview on basic p e d w physics, the
equilibrate between temperature readings.Analysis:The heat diffusion equation for one dimensional, steady state conduction with constantthermal conductivity is as follows: 1 3 1T 5 1 2T 7k 8 = 0 2 2 = 0 1x 4 1 x 6 1xThe general solution is as follows.T(x) = C1 x + C2Boundary conditions are determined from the student’s experiment. The followingexample uses data for a polycarbonate block 1 cm thick. Polycarbonate was chosenbecause its glass transition temperature is about 150oC and therefore it won’t soften ormelt on the mug warmer surface.T(0) = Tw,s 1 T(0) = 122 o C and T(L) = Tp,s 1 T(0.01m) = 88.8 o CThe particular solution is in symbolic and numeric form: T 1TT(x) = p,s w,s x + Tw,s
. IntroductionWiMAX has been standardized by IEEE 802.16 standards for broadband wireless accesssystems, moreover it has been also adopted by ITU as one of the IMT-2000 technologies inNovember 2007.802.16c addressed primarily the line of sight (LOS) environment at frequencybandwidth of (10-16 GHz) .WiMAX bandwidth is assumed to be 70 Mbit/s over 31 miles[1].To provide such data rates requires higher capacity backhaul networks. If we look at thebackhaul networks presently providing services for conventions wireless networks. They do nothave enough capacity to provide the required bandwidth for WiMAX access points.Clever utilization of twisted pair has given some consumers network access of 128 Kb/S to 2.3Mb/S even though most access of this kind through
learning about stereo amplifier operation in order to test, troubleshoot,repair, and in some cases upgrade the equipment. Moreover, we are a satellite campus2 andkeeping our equipment and facilities up to date is always a difficult challenge. As such, evenused equipment is often attractive.Periodically, customers who sent equipment to this company for repair decided it was better toreplace their old amplifier(s) with new ones rather than pay the sometimes fairly expensive repairbill. Thus, this local employer proposed donating some of these old amplifiers, along with theparts needed for repair, and letting us repair and use them. In addition to returning them toservice as amplifiers, it is also straightforward to convert them into fairly high
and figuresprovided and mostly open white space that allowed for student work and student + instructorwork. A sample of blank note slides is provided in Figure 1. Page 14.1374.3 Root Locus – Controller Design R (s ) + 1 Y (s ) s ⋅ (s + 4 ) ⋅ (s + 6 ) K
: W ? bhL τ g (3)Where τ is the mass density and g ? 9.81 m s 2 .The problem is one of multi-objective optimization, namely, the simultaneous minimization ofυm and W , with b and h as design variables.Several interesting and informative points arise at this juncture. The aim here is to raise somequestions, and answer some of them, that should expand student horizons and make them moreaware, in particular, of some design issues. 6 PLLet f1 ( … bhL τ g ) be the weight objective function and f 2 ( … ) be the stress objective
: Neural Networks, ART, FAM, GFAM, GEAM, Hybrid, Genetic Algorithm I. INTRODUCTIONTHE Adaptive Resonance Theory (ART) architecture was developed by Grossberg (1976) [1].In 1992 Mr. Carpenter developed a Neural Network (NN) called Fuzzy ARTMAP (FAM) [2].FAM architectures became very popular and were used in the literature to successfully solvemany classification problems. Researchers then developed other ART NN‟s such as EAM [5]and GAM [6] that used different category representations to attain better performance and toreduce the effect of a phenomenon called Category Proliferation (CP) (Creating extra categoriesfor better performance especially when used with noisy data). The authors noted that FAM,GAM and EAM
engineering or relevant field, be California licensed structural engineer (S.E.) with at least ten years experience as a structural engineer.Currently in ARCE department, of the thirteen full time faculty members, (a) three have Ph.D.’s, (b) five have Ph.D.’s and are California licensed P.E.’s., (c) three have MS and are California licensed S.E.’s and (d) two have Ph.D.’s and are California licensed S.E.’s.This shows that, with seventy seven percent of the faculty licensed P.E.’s in California and thirtyeight percent licensed as California S.E.’s bring the environment of the consulting engineer tothe ARCE program. This human resource data is an envy of any structural engineeringconsulting company. The faculty in the
graduation on designingthese types of projects.IntroductionMasonry construction dates back as early as man’s civilization when cut stone was used to buildpyramids. Burned clay bricks have been in use for a long time and use of grouted brick masonrydates in the U.S.A. as far back as in the 1860’s. Laws governing construction with masonry goesback to the 18th century with the Code of Hammurabi; “If a house collapses and kills the owner’sson, the son of the builder shall be put to death”. To date, design and construction requirementsfor masonry structures are specified in the International Building Code which references the Page 14.718.2MSJC.In
number of universities beyond Oregon State University to develop evidence of the portability and generalizable use of the virtual laboratory instructional materials. Table 2 lists the institutions that have used the Virtual CVD laboratory remotely. Table 2. Summary of experimental activity of the Virtual CVD Laboratories outside OSUClass Term Students Groups Runs Measurements Virtual CostU Oregon Su 06 11 3 40 538 $240,350U Oregon Su 07 10 3 57 610 $330,750UC Berkeley S 07 25 25 96
2Solution Page 14.929.5To find the damped natural frequencies of the system one sets: ms 2 + (c1 + c 2 ) s + k1 + k 2 (c 2 l 2 − c1l1 ) s + k 2 l 2 − k1l1 det 2 2 2 2 2 = 0. (c 2 l 2 − c1l1 ) s + k 2 l 2 − k1l1 Js + (l 2 c 2 + l1 c1 ) s + l 2 k 2 + l1 k1 With the aid of MATLAB and using given system’s parameters, one finds the followingdamped natural frequencies with their corresponding damping ratio and naturalfrequencies. ωd 1 = 4.9676rad / s
were essentially viscously damped, with amaximum discrepancy between theory and experiment of 5% 6. The motion of that sphere isbeing used here as a convenient reference with which that of the golf ball can be compared.Table 2. Sample experimental data for two spheres Metal Metal Golf Golf Time(s) x(cm) Log(x) x(cm) Log(x) 0 1.94 0.662688 1.875 0.628609 25 1.645 0.49774 1.525 0.421994 50 1.4 0.336472 1.3 0.262364 75 1.3 0.262364 1.1 0.09531 100 1.15 0.139762 0.93 -0.07257 125 1.01 0.00995 0.775 -0.25489 150 0.905 -0.09982 0.675 -0.39304 175 0.875 -0.13353
government beginning in the 1960s and secured the technologicalsuperiority of the United States during the latter part of the 20th century.America was once again shocked into reassessing the adequacy of our future science andengineering (S&E) workforce after the September 11, 2001 terrorist attacks. That self-examination, and the need to put more people to work on technical solutions to the problems ofterrorism, war, and national security, led Congress to authorize the Department of Defense tocreate the SMART (Science, Mathematics, and Research for Transformation) pilot programunder the Ronald W. Reagan National Defense Authorization Act (NDAA) for Fiscal Year 2005.The immediate positive response to the SMART program prompted Congress to make
was measured using a “catch and time” approach. A beaker was placed inthe lower reservoir to collect solution while a stopwatch was used to determine the time passed.Before each obstruction experiment, fluid volumes were collected over three time intervals: 5minutes, 4 minutes, and 3 minutes. Each volume was divided by its respective time to get anaverage fluid flow rate in mL/s. The lowest flow rate we used in our trials was 0.092 mL/s andthe highest was 0.262 mL/s. The apparatus is capable of sustaining higher flow rates, but theflows were turbulent. Velocity was measured by observing the distance a particle in the flowmoved between two sequential video frames, i.e. ∆t = 1/30 s = 0.033 s. Four trials were averagedto calculate the mean
highlyexpressive and widely used in formal verification tools such as the model checkers SPIN [8] andNuSMV [2] . LTL is also used in the runtime verification of Java programs [18]. Formulas in LTL are constructed from elementary propositions and the usual Boolean operatorsfor not, and, or, imply (¬, ∧, ∨, →, respectively). In addition, LTL provides the temporal operatorsnext (X), eventually ( ), always (✷), until, (U), weak until (W), and release (R). These formulasassume discrete time, i.e., states s = 0, 1, 2, . . . The meanings of the temporal operators arestraightforward1 • The formula Xp holds at state s if p holds at the next state s + 1, • p U q is true at state s, if there is a state s ≥ s at which q is true and, if s is such a state, then
green technology jobs. Given these goals, it is important that SJSU contribute notonly research and development but also well-educated graduates to advance the cause of thisimportant endeavor.At the state level in California, energy research will be accelerated by state law AB 32. AB 32mandates aggressive standards for emissions in California by 2020. Economists have found that,in order to meet AB 32’s goals, businesses will generate tens of thousands of new jobs forCalifornia2. According to a World Wide Fund for Nature study3, California is expected to gainover 140,000 new clean tech jobs by 2020. Along with new jobs, Californian industries willinvest heavily in research and development efforts in renewable energy.When it comes to developing
become “mutually dependent” so that advancement is done as acohesive unit with each member making contributions to the group (shared responsibility). Learning communities have some key parts of the successful Treisman’s Model.10 In theearly 1980’s Uri Treisman created programs that enlisted African-American students to excel inmathematics rather than a program created solely to help them evade failure. Like LCs,Treisman’s emphasis is on collaborative learning among the students through the use of “smallgroup teaching methods.” Students are not just expected to be remediated, but expectations areraised based on what Treiman observed to be the strength of some groups of students on hiscampus: their ability to merge academic and social lives
(2) I SWhere S = I/ym, which is also known as the sectional modulus of the cross section. Page 14.1046.4If we denote the cross-sectional area of the beam as A and the aspect ratio by , then wehave, A bd (3a ) b/d (3b)We also have, ym d / 2 (3c)The quantity S = I/ym the section modulus can be written in terms of the quantities A and as: I A3 / 2 S (4) ym 6 1 / 2Now we
shows atwo dimensional computer-aided design drawing of the retailer station drawn in AutoCADsoftware. The drawing was plotted on an ANSI D- 22 x 34 in. (landscape layout) size paper andthen laminated. There is one laminated retailer layout for each of the groups that play the beergame in class. One player in each group is assigned to the retailer stage to role play this supplychain partner. The end customer is the retailer’s customer and is the source for the orders of beerat the retailer station. Once the retailer fills the end customer’s order, s/he sends another order tothe wholesaler.Figure 1. Drawing of the retailer station. The wholesaler is the retailer’s supplier and therefore is the next partner in the supplychain layout of
entrepreneurial elements.Literature further indicates that benchmarking, a benchmark of this course, is an industry trend,and a must-practice for market leadership, profitability and sustainability. Furthermore, the 2 ECo-TIES and nano-research projects are cutting edge and unique to CNCMM; ECo-TIES addresses the problems associated with the currently-in-use, fossil fuel-based power systems such as air pollution, environmental pollution from oil spills, global warming, dependence on imported oil, lack of sustainability and homeland security issues. The course is introduced via such concepts as “Productivity /S-Curve” and market entry strategies
, Page 14.575.2such as seniors and juniors, to supervise and mentor younger college students. A faculty advisorPage 14.575.3Page 14.575.4 The amount of students who choose Engineering Technology majors within thedepartment has increased from 12 to 14 percent and is expected to continue in this trend (seeTable 2). Table 2: Percent Engineering Technology Per Academic Semester F 08 S 05 14% 12% F 05 S 08
of bio-char between 20-30 mesh particle size, the elemental analysisresults are presented in Table 5. Only the elements heavier that K were detected, making themethod impractical for carbon detection, but detailed analysis on materials not picked up by anyother method were obtained.Using XPS, peaks for six elements: C, O, N, Ca, S, and Si were found. The atomic fraction ofeach element in the sample is listed in Table 6. The XPS values have an error of ± 10%. Table 5. Composition of 20-30 Mesh Particles of Bio-Char Sample from XRF (Test Done at MURR) Element Composition K 0.65
temperature (and with that performance)of solar modules, is the airflow around them. With only average daily and not hourly wind data available from anearby town, this data may only be used to verify a visual trend of any impact stronger winds may have onmodule temperature. Figure 4 gives an example of this data, the trend-line creating a very clear divide on highinsolation days, between higher winds (red- above 2.65m/s) and lower winds (blue- less than 2.65m/s).This didnot hold up for some other months, as seen in Figure 5. While seemingly random, all high winds for themonth(>=3m/s – Figure 6) did correlate to lower temperatures (though not vice versa). This is expected to bedue to the necessity for much stronger winds in order to cool the
Renewable Energy Systems Courses D. J. Burnham,⋆ J. C. Campbell,⋆ S. Santoso,⋆ A. Compean,⋆⋆ J. Ramos⋆⋆1 IntroductionIn recent years wind turbine technologies have made significant advances, and more than 30 U.S.states have implemented aggressive renewable portfolio standards. These standards require thatelectric utilities obtain 10% to 30% of their energy from renewable sources, with target datesbetween 2020 and 2030.1 In support of this effort the U.S. Department of Energy is consideringthe viability of wind energy to supply up to 20% of nation’s electricity by 2030.2 In addition tothe technical challenge of integrating wind power into the national grids, another criticalchallenge in the 20% wind power scenario involves preparing the
A Hybrid Approach to Evaluate the Performance of Engineering Schools School of Engineering University of Bridgeport Bridgeport, CT 06604 ABSTRACTScience and engineering (S&E) are two disciplines that are highly receptive to the changes indemand for products and services. These disciplines can either be leading in nature, viz., they createthe demand in the market (push) for new products and/or services, or can adopt the changes causedby the varying market conditions (pull). Regardless of the reason, both science and engineering havethe responsibility to be compatible
or newer designs which are too time-consuming and expensive to built. Rsoft’sOptSim simulation tools have been our focus system simulation CAD tool for fiber opticlinks.[1]• Experiment 8: OPTSIM NRZ Optical System and OSNR Spectrum Chart (added in Fall 2008)Students use OptSim to calculate the Optical Signal-to-Noise Ratio (OSNR) and optical spectralcontent of a10 Gb/s optical system with EDFA preamplifiers, mid-link amplifiers and boosteramplifiers. The 10 Gb/s NRZ optical signal is launched into 3 spans of Dispersion-Shifted singlemode fiber, each 50 Km in length. The fiber loss is recovered by 980-nm pumped EDFA beforeeach span and after the third span. The optical signal is passed through a raised-cosine filter anddetected by a
and prevention.Simultaneously, business and industry are increasingly seeking graduates withappropriate background and training in this emerging and lucrative field of biomedicalengineering and technology. The United States Labor Department supports this area ofconcentration by forecasting a job growth of 31.4 percent through 2010, double the ratefor all other jobs combined. The aging U. S. population as well as the increase demandfor improved medical devices and systems, are contributing to this increase in demand.Women will be motivated so that the stagnant or even decreasing 20 percent level ofenrollment in engineering and technology fields nationwide may be lifted byunderstanding that the careers in this area are exciting, rewarding
various learning styles by individual learners can be catered to by drifting awayfrom typical scholastic activities: lecture – reading – theory-reinforcing calculation exercises –examination. The 21 learning activities listed in Table 2 can address most of the eight MI.Course evaluations will be undoubtedly more favorable if every student finds his/her favoriteniche activities during the course.QFD for Defining Course ActivitiesQuality Function Deployment (QFD) technique parallels engineering procedures used forexamining specifications and performances of products and processes 10, 11. Developed in the1970’s in Japan and used in Kobe Shipyard of Mitsubishi Heavy Industries, QFD methodologystemmed from quality improvement tables and was originally