respective crystallization Page 9.683.3temperature, Tpeak, crystallization increases from 503.4 ºC to 556.3 ºC.Proceedings of the 2004 American Society for Engineering Education Annual Conference & Exposition Copyright © 2004, American Society for Engineering EducationThe Kissinger model describes crystallization kinetics during continuous heating and is given by: Ã h Ô /Q lnÄÄ 2 Õ? ÕÕ RT - constant ÄT
Engineering Education Annual Conference & Exposition Copyright © 2003, American Society for Engineering EducationOutcome links represent an estimate of the Course Outcome’s importance to that ProgramOutcome. In a similar manner, Program Outcome – Program Objective links are an estimate ofthe Program Outcome’s importance to a Program Objective. The curriculum emphasis for eachProgram Outcome can be estimated using the expression in Figure 2. for (p = 0; p < M; p++) // each program outcome {programOutcome [p] = 0; for (q = 0; q < L; q++) // each course {for (r = 0; r < K; r++) // each course outcome {ProgramOutcome [p
the following is a statement of the first law of thermodynamics? Q = mc(∆T) W = ∫ p dV Q - W = ∆U all of these 8. Which of the following is a definition of enthalpy? Q/T Q–W mcp 7 U + pV 9. The typical electric power plant relies on which energy conversion cycle? Brayton Otto Rankine Diesel 10. Which of the following expresses the second law of thermodynamics?: (a) Work cannot be completely converted into heat. (b) Heat cannot be completely converted into work. (c) Energy can be neither created nor destroyed in a system. (d) The rate of mass flowing into a system equals the mass flow rate
biomedical imagingapplications is Alzheimer's disease classification. The proposed paper talks about the feature extraction of the MRImages in Alzheimer’s disease. Here we introduce the concept of Non-Separable Wavelet Transform which can beused as an image segmentation technique. We use the Q-shift 10 length filter bank combination which reveals moreinformation in the low frequency signals, thus segmenting the image to highlight the portion of concern. Then weuse the area technique to classify the image. Finally, a GUI is used to show the results based on the proposedmethod.Keywords: - MR Images, DWT, 2DT-CWT, Alzheimer’s disease, Segmented Image.Introduction:Diagnosing patients affected by Alzheimer’s disease at an early stage plays a crucial role
), and self-identity (shyness and confidence toengage in class). In addition, foreign students entering a Mechanics of Materials course havepoor foundational knowledge in subjects like Physics and/or Statics and encounter difficultieslearning in a virtual course delivery model (82% asynchronous and 18% live Q&A sessions).The combination of these challenges exacts a tremendous obstacle to student learning, studentretention, and student persistence.The developed instructional approach uses reduced question sets for homework assignments,which aim to improve the lower-level questioning found in Bloom’s Taxonomy and Costa’sLevels of Thinking and reducing the higher-level questioning. This model helps to decrease thecognitive load that is placed
principle. To do so let Brepresent entropy. The second law of thermodynamics states that entropy can be created withinthe control volume by dissipative processes such as friction. Entropy can cross the controlsurface by convection or without bulk motion as a consequence of heat. The terms of the generalbalance principle applied to entropy are the following. $ $ ? D $ ? / t s V © dA, $ ? / q © dA BCV ? Ð t s dV, B- Ð dV, Bc Ð r Bnc Ð (11) CV CV T CS CS T $ is the dissipation rate, T is the absolute temperature, and q isHere s is the entropy
: function MEAN EXAM SCORE BY QUINTILE(exam, quintile) 2: points = 0 3: max points = 0 4: for q in get questions(exam) do 5: mean = question score by quintile(q, quintile) 6: points = points + mean 7: max points = max points + get max points(q) 8: end for 9: return points/max points10: end functionWe then define the unfairness of a collection of exams for a given quintile as the standarddeviation of the expected scores for that quintile across all of the exams.To be clear, a collection of exams is not necessarily unfair if there is high variance in the studentscores when students are given different exams from this collection. We expect such a variance inscore resulting from a variance in student abilities. We
for a fixed number of stages in the column.In addition, this paper provides the VBA code to find real roots of any cubic equation: such afunction can also be useful in other Excel applications.The inputs to the spreadsheet are the x-y equilibrium data, the feed composition and “q-value”(usually, the liquid mole fraction of the feed: formally defined as the heat required to vaporizeone mole of feed at the entering conditions divided by the molar latent heat of vaporization of thefeed8 (equation 11.4-12, page 710)), the desired tops and bottoms purity, the reflux ratio, and theMurphree efficiency. The outputs are the location of the azeotrope (if present), the intersectionpoint of the feed line with the equilibrium curve, the required number of
included theselabs and design project. Each lab was then granted a score (0-3 or 0-4) in each evaluativecategory depending on the lab’s level of adoption of that category. The two researchers thendiscussed and reconciled their results into one final result set, which is what is presented in theresults that follows.Results and DiscussionAfter the final agreement was met on the scores, a summary of the overall scores wasgenerated, as seen in Table 1. Table 1: Summary Statistics from Final Data SetIt can be seen that every lab failed to attain a majority of total points with the exception ofthe Software Design Project (SDP), which ranked first in most categories. The Quality andProductivity (Q&P) lab was also much higher
-equilibrium equation of the link about its other end. E In the hypothetical sub-mechanism, Figure 3, this means that B j is determined from the moment-equilibrium equation of link i about H E E E E ÂM js h ? Ri · B j - Rgi · fi - qi ? Ri e jsi · B j e j - Rgi e jsi · fi e ji i - q i ? Ri B j sin*s j / s i + - Rgi f i sin*i i / s i + - q i ? 0 (15) Therefore Page 13.101.8
theunambiguous symbol CHX will be used. In principle the conductance is calculated by Q& ave C HX = (6) FG ⋅ LMTDAny heat transfer textbook will recite this formula where Q& ave is the average heat transfer rate, FG is the geometrical correction factor, and LMTD is the log mean temperature difference.The preceding measurement function is deceptively simple in appearance. In fact asshown below, both the heat rate and the LMTD are rather complicated. The best estimate of the heat rate is the average between the rate that heat isadsorbed by
of the system and the surroundings. Based on this study, a change seems warranted forthe first and second laws analysis relating to the electrical work.BackgroundA typical thermodynamic problem is solved by the traditional methodology of analysis thatcombines the first and second laws of thermodynamics. The first law describes the principle ofconservation of energy and is defined as the net energy transfer into the system being equal tothe change of the total energy in the system. Although there may be minor differences indescribing the principle by different authors, the first law of thermodynamics is usually given ina general equation form as Q – W = ΔE or Qin - Qout + Win – Wout = ΔE for closed systems where
. Topics emphasized in this chapter See example in Sections 2.2 − 2.6. Input valve A1 Q 1 + ∆Q 1 Establish the control goals
to its three outputs. The input vector is denoted as I (A, B, C),potential to minimize power consumption and enhance while the output vector is represented as O (P, Q, R). Thecomputational efficiency. Numerous studies have examined relationship between the inputs and outputs follows specificthe role of reversible logic gates in the development of logical operations: P = A, Q = A ⊕ B (XOR operation), andenergy-efficient sequential circuits, leading to remarkable R = (A ⋅ B) ⊕ C (AND followed by XOR). Since the Peresprogress in digital circuit design. gate is reversible, it preserves information, making it highly In [1
Web: hubs and authorities. Ahub is a page that links to other pages; an authority is a page that is linked to by other pages. The Page 26.1736.7ranking philosophy behind HITS is a mutually reinforcing relationship: “a good hub is a page thatpoints to many good authorities; a good authority is a page that is pointed to by many goodhubs” 11 . HITS is usually implemented in an iterative manner. In each iteration, the updating rulesfor the authority value Auth(p) and hub value Hub(p) of page p are formulated as Auth(p) ← Hub(q) (5
performance in a subsequent course (e.g., intermediate thermodynamics or heat transfer).ConstraintsAs an important and fundamental restriction to this project, students are prohibited fromapproaching the problem by analyzing the refrigeration system, i.e., the refrigerant flow. Instead,students must explore the meaning of the quantities involved, particularly heat and work, byexamining the refrigerator compartments. In other words, instead of investigating where theenergy is going to, students should question where it is coming from.It should be noted that the actual COP may also be defined in terms of the rate of energy transfer: Q˙ c COP actual
differential equations2: q = −∇ • (k∇T ) + ρ C P • ∇T (1) ρ • ∇ = ∇p + µ ∇ (2)where q, k, T, ρ, Cp, u, p, and µ represent heat flow, thermal conductivity, density, heat capacity,velocity vector, pressure, and viscosity, respectively. Unfortunately, an analytical solution to Page 12.393.3these equations is not available except for the simplest geometries and flow patterns. Therefore,a practical engineering approach based on Newton’s law of cooling is presented to undergraduateengineering students for describing the
(Summary & Resources)Cybersecurity Engineering with CYBI- 4336ML/AI Fall 2024Module 1 SummarySummary: What is ML/AI, Applications in Cybersecurity (CS) Module 1 Introduces ML/AI. It introduces AI/ML Applications in CS.Readings/ Module 01 Slides.Watching: Video Lecture.Resources: • Module 01 Notes [Power Point Slides]/Video Lecture.Deliverables/ 1. Description: Set up Anaconda with CPU/GPU.Assignments: 2. Participate in the discussion Q/A session with your TA Module 02 (Summary & Resources)Cybersecurity Engineering with CYBI
Experiences for All Students Rotterdam, The Netherlands: Sense Publishers2 Patton, M. Q.(1990). Qualitative evaluation and research methods. Newbury Park, CA: Sage Publications3 Strauss, A., & Corbin, J. (1998). Basics of qualitative research: Techniques and procedures for developing groundedtheory (2nd ed.). Thousand Oaks, CA: Sage Publications Page 22.1519.21Memorandum To: Thermodynamic Analysis Team From: Sharon Parker, Cal Poly Supermileage Team Date: June 30, 2010 Re: Engine Performance AnalysisEach year, Cal Poly’s Supermileage Vehicle Team competes in the Shell Eco-Marathon
management courses with bonus points for the in-class problem solving relatedto each topic of the course. The survey questions are presented in Figure 2. The first two questionswere asked to understand the students’ perceptions and attitudes about the course content andalignment. The third question introduced the active learning concept and its effect. Q.1. Did tests reflect the material covered in the class? a. Excellent (5) b. Above Average (4) c. Average (3) d. Below Average (2) e. Very Poor (1) Q.2. Is there a good agreement between the course outline and the course content? a. Excellent (5) b. Above Average (4) c. Average (3
ordifficulties with demonstrating their KSAs in machine design are rapidly uncovered with weekly conceptquizzes. Finally, the outcomes of the pilot and full implementation of a machine design course usingcompetency-based assessment will be presented, with a discussion of future planned work.KeywordsMachine Design, Competency, Course DesignIntroductionAssessing student knowledge, skill, and ability in a senior-level machine design course typically oftenrelies on a combination of homework (HW), quizzes (Q), and major exams (E). The HW may includethree to four problems and may be scored for completion and/or correctness, assuming that students maybe working in collaborative teams to complete their work outside of a class setting. Whereas Q and E areoften
bythe instructor and the final class grades. To understand the effect of in-class problem-solving onthe perceptions and attitudes of students, surveys were conducted at the end of the semester withthree questions to compare the students’ learning experiences. The survey questions are presentedin Figure 1. The first two questions were asked to understand the students’ perceptions andattitudes about the course content and alignment. The third question introduced the in-classproblem-solving and its effect. Q.1. Did tests reflect the material covered in the class? a. Excellent (5) b. Above Average (4) c. Average (3) d. Below Average (2) e. Very Poor (1) Q.2. Is there a good
in the sketch.Following the online performance, however, the facilitators, like sports analysts, recap thesituation and ask the student audience to comment regarding how they feel. The students respondusing the Zoom Q&A feature to enter comments and questions which are addressed by thefacilitators. Instead of bringing student audience members into the Zoom team, the actors areinterviewed, on-screen and in character, and asked how they feel about what happened, why theydid what they did, and how they think their actions made the other characters feel. The studentaudience is encouraged to ask questions of the characters using the Q&A feature and to “upvote”questions to help determine which questions have the most audience interest
condenser coil. As thetemperatures rise, the system can transfer the excess heat to a thermal battery. A thermal batteryis a device that stores energy [5]. For this, water could be used for testing (explored later). Thissystem could be tested with major appliances such as refrigerators and ovens/stoves, with theidea being to store and redistribute the energy needed to heat the water.The potential energy that can be harnessed can be represented by the heat transfer equation Q = A × G × η × ΔTQ(BTU) = the amount of heat gathered and storedA = the surface areaG = solar irradiance (BTUs/hour)η = the efficiency of the solar paneΔT = the temperature difference between the panel temperature and the storage
frontend that contains a “down-converter,” which converts the RFsignals at the received frequency into two parts: the I signal (in-phase) and Q (quadrature) signal,which is 90 degrees out of phase (relative to I). To perform down-conversion, we use a Tayloedetector 6 . The detector is a simple, inexpensive circuit that does a complete quadrature down-conversion. The I and Q signals feed directly into the soundcard of the PC, where they areconverted from analog to digital signals using the soundcard’s A/D converter.Once converted by the soundcard, I and Q signals are demodulated. This process consists of thefollowing basic steps for receiving7-10. 1. Time-domain shift: while I and Q are in the time domain, their (center) frequencies are
capacitance in quasistatic equilibrium in inversion toavoid undershooting into deep depletion. 3. Models for MOS Capacitance CharacteristicsFor an MOS structure built on a uniformly doped semiconductor the Poisson equation [5] can besolved exactly to get the electric field, Es and the total charge the semiconductor has stored in itsspace charge (or depletion) layer, Qs as a function of the electrostatic potential ψs its surface hasreached under the influence of the gate field applied. The resulting equations are given below. 2. k. T . ψ s . Εs ψs F ψs q. L D ψ s Qs ψs ε Si. Ε s ψ swhere β
Method, a series of two equations must be used. First, the log mean temperature difference must be found using the equation below: ∆T1 − ∆T2 (1) ∆Tlm = ln(∆T1 / ∆T2 ) where ∆T1 is the temperature difference at the hot fluid inlet, and ∆T2 is the temperature difference at the hot fluid exit. Once this is found, the overall heat transfer coefficient, U, is found using the equation: Q&= U As ∆Tlm (2) where
finite line of charge of length and linear charge density of tL(C/m2) along the z-axis. For a differential element of charge dQ = tLdz, one can computethe electric force exerted on the charge q located at a distance t (cylindrical coordinatest,h,z are used here) from the line using Coulomb’s law asdFy = q dQ cos c/(4rg0R2) (g0 = 8.854 x 10-12 F/m is the free space permittivity) Page 11.523.5where c is the angle from the y-axis and R2 = t2 + z2. With cos c = t/R and integratingto get total force (also utilizing the symmetry of the problem)Fy = 2 Ð q tL t d z /(4rg0R3) where integration is from z = 0 to z = /2.Fy = q tL t I /(2rg0) with
Int Ext Int Ext Int Ext Int Ext Int Ext Int Ext California Polytechnic State University S √ University of California, Irvine Q √ University of California, Riverside Q √ √ University of Central Florida S √ √ University of Colorado at Boulder S √ Colorado State University S √ Columbia University S √ University of Delaware
methods to evaluate physics instruction and assessesundergraduate engineering students’ understanding of certain topics in thermal physics.PER documents students’ difficulties with the conceptions of heat and temperature5, 6, 7.Much of this research suggests that many students hold an intuitive belief about theconceptual relationship of heat (Q) and temperature (T) which might be represented bythis proportionality: Q∝TAs opposed to the established physics principle that heat transfer is proportional to thechange in temperature: Q ∝ ∆TMany research-based conceptual diagnostic surveys are openly available for assessinglearning in physics. The Heat and Temperature and