Category Archives: Engineering

Create the Fact and Dimension table attribute and the ER data model diagram for the attributes listed below.

Create the Fact and Dimension table attribute and the ER data model diagram for the attributes listed below. TRANSACTIONPARTITIONKEY TRANSACTIONKEY DAYPARTKEY TRANSACTIONDATEKEY BUSINESSDATEKEY PROFITCENTERKEY STOREKEY STORESTATUSKEY ORGANIZATIONKEY PERIODICORGANIZATIONKEY REGISTERKEY PTXGUID CHARGES DEBIT DISCOUNTS TAXES REMITTANCE GUESTCOUNT DRAWERKEY DEBITAMT REFUNDAMT SSSCOUNT STORESTATUS2KEY PROFITCENTERKEY_ORIG CATERINGKEY MISCCHARGES CREATEDTIME  

Explain how the tensile strength and fatigue strength of a particular metal affect the materials selection process for an automobile valve spring.

Briefly describe the steps that are used to ascertain whether a particular metal alloy is suitable for use in an automobile valve spring. Explain how the tensile strength and fatigue strength of a particular metal affect the materials selection process for an automobile valve spring. For a steel alloy material in a helical spring, explain […]

Why most of the helical springs have spring index between 4 and 12?

ME 3305 MATERIALS’ SCIENCE Define properties of at least 3 different springs as indicated in the above table such as stiffness, modulus of rigidity, maximum shear stress, etc. Discuss the results found and graphs. Classify the spring from the shape of the F vs δ curve. Give some practical applications of helical spring. Compare the […]

Briefly compare the toughness of the materials (hint: toughness is directly related to the absorbed energy)

Izod Impact Test (a) Use the table below with absorbed energy (Joules) results obtained for three materials tested. Calculate the average toughness and standard deviation for each material Izod Impact Test Steel Brass Aluminum 1 2.56 1.87 0.97 2 2.62 1.72 0.79 3 2.68 1.67 0.80 Average absorbed energy       Standard deviation   […]

Discuss the advantages and disadvantages of using UV disinfection versus chlorine disinfection

(10) Match the most appropriate cool term with each definition ( in the box to the left of the definition . , Device used to measure turbidity Quiescent tank where particles settle Model that approximates microbial growth and substrate consumption Unfavorable condition where biological particles don’t settle well The bonding of more than one particle […]

Explain why turbidity measurements are a poor method to use for assessing the presence of small particles (< 0.01 mm) in your water.

Choose your favorite three of the following four questions: (10) Compare the advantages and disadvantages of a combined sewer system versus a separate sewer system. What kind of system does San Francisco have? (10) Explain why turbidity measurements are a poor method to use for assessing the presence of small particles (< 0.01 mm) in […]

What are the substrate and biomass concentrations in your aeration basin?

You MUST answer questions 1, 2, and 3. • You choose your favorite three of the remaining four questions. (25) Your wastewater treatment plant serves a community of 50,000 people. The average person contributes 300 L/day of wastewater to your plant. The aeration basin at your plant has a volume of 6000 m3. The concentration […]

identify the  condition,  status,  reason,  or  piece  of  information that  makes the set of requirements incorrect.

Question 1 (13 × 2 = 26 pts.): Answer the following short answer or multiple choice questions. Circle or underline the answers for the multiple choice questions, or provide you answers for the short answer questions in the provided blank space after the question only (i.e., your short answers should be, well, short ☺).   […]

What is the standard error of the estimated coefficients, R-squared term, and the 95% confidence interval?

Machine Learning Q1 Fit a predictive linear regression model to estimate weight of the fish from its length, height and width? (the data source fish.csv can be found here: https://www.kagnle.com/aungnvaeap/fish-market) (50 points) -Report the coefficients values by using the standard Least Square Estimates -What is the standard error of the estimated coefficients, R-squared term, and […]