FAWN: A Fast Array of Wimpy Nodes http://www.sigops.org/sosp/sosp09/papers/andersen-sosp09.pdf 1. Why does CPU utilization become a concern in the design of a KV store? Why cannot dynamic power scaling provide an effective solution? (Section 2)

FAWN: A Fast Array of Wimpy Nodes http://www.sigops.org/sosp/sosp09/papers/andersen-sosp09.pdf 1. Why does CPU utilization become a concern in the design of a KV store? Why cannot dynamic power scaling provide an effective solution? (Section 2)

Operating at higher frequencies requires a lot of energy and … Read More...
Take Home Exam 3: Special Note Before Starting the Exam: If you scan your solutions to the exam and save it as a pdf or image file and put it on dropbox and I can not read it or open it, you will not receive credit for the exam. Furthermore, if you write the solutions up in word, latex ect. and give me a print out, which does not include all the pages you will not get credit for the missing pages. Also if your folder on dropbox is not clearly labeled and I can not find your exam then you will not get credit for the exam. Finally, please make sure you put your name on the exam!! Math 2100 Exam 3, Out of Class, Due by December 8th, 2015 at 5:00 pm. Name: Problem 1. (15 points) A random variable is said to have the (standard) Cauchy distribution if its PDF is given by f (x) = 1 π 1 1+ x2 , −∞< x <∞ This problem uses computer simulations to demonstrate that a) samples from this distribution often have extreme outliers (a consequence of the heavy tails of the distribution), and b) the sample mean is prone to the same type of outliers. Below is a graph of the pdf a) (5 points) The R commands x=rcauchy(500); summary(x) generate a random sample of size 500 from the Cauchy distribution and display the sample’s five number summary; Report the five number summary and the interquartile range, and comment on whether or not the smallest and largest numbers generated from this sample of 500 are outliers. Repeat this 10 times. b) (5 points) The R commands m=matrix(rcauchy(50000), nrow=500); xb=apply(m,1,mean);summary(xb) generate the matrix m that has 500 rows, each of which is a sample of size n=100 from the Cauchy distribution, compute the 500 sample means and store them in xb. and display the five number summary xb. Repeat these commands 10 times, and report the 10 sets of five number summaries. Compare with the 10 sets of five number summaries from part (a), and comment on whether or not the distribution of the averages seems to be more prone to extreme outliers as that of the individual observations. c) (5 points) Why does this happen? (hint: try to calculate E(X) and V(X) for this distribution) and does the LLN and CLT apply for samples from a Cauchy distribution? Hint: E(X) is undefined for this distribution unless you use the Cauchy Principle Value as such for the mean lim a→∞ xf (x)dx −a a∫ In addition x2 1+ x2 dx = x2 +1−1 1+ x2 dx = 1− 1 1+ x2 " # $ % & ' ∫ ∫ ∫ dx 1 1+ x2 dx = tan−1 ∫ x +C Problem 2. (5 points) A marketing expert for a pasta-making company believes that 40% of pasta lovers prefer lasagna. If 9 out of 20 pasta lovers choose lasagna over other pastas, what can be concluded about the expert's claim? Use a 0.05 level of significance. Problem 3. (10 points) A coin is tossed 20 times, resulting in 5 heads. Is this sufficient evidence to reject the hypothesis that the coin is balanced in favor of the alternative that heads occur less than 50% of the time (essentially is this significant evidence to claim that the coin is unbalanced in favor of tails)? Use a 0.05 level of significance. Problem 4. (25 points) Since the chemical benzene may cause cancer, the federal government has set the maximum allowable benzene concentration in the workplace at 1 part per million (1 ppm) Suppose that a steel manufacturing plant is under investigation for possible violations regarding benzene level. The Occupational Safety and Health Administration (OSHA) will analyze 14 air samples over a one-month period. Assume normality of the population from which the samples were drawn. a) (3 points) What is an appropriate null hypothesis for this scenario? (Give this in symbols) b) (3 points) What is an appropriate alternative hypothesis for this scenario? (Give this in symbols) c) (3 points) What kind of hypothesis test is this: left-tailed, right-tailed or two-tailed? Explain how you picked your answer. d) (3 points) Is this a one-sample t-test or a one-sample test using a normal distribution? Explain how you picked your answer. e) (4 points) If the test using this sample of size 14 is to be done at the 1% significance level, calculate the critical value(s) and describe the rejection region(s) for the test statistic. Show your work. f) (5 points) OHSA finds the following for their sample of size 14: a mean benzene level of 1.51 ppm and a standard deviation of 1.415 ppm. What should be concluded at the 1% significance level? Support your answer with calculation(s) and reasoning. g) (4 points) Calculate the p-value for this test and verify that this answer would lead to the same conclusion you made in part f. Problem 5. (15 points) A normally distributed random variable Y possesses a mean of μ = 20 and a standard deviation of σ = 5. A random sample of n = 31 observations is to be selected. Let X be the sample average. (X in this problem is really x _ ) a)(5 points) Describe the sampling distribution of X (i.e. describe the distribution of X and give μx, σx ) b) (5 points) Find the z-score of x = 22 c) (5 points) Find P(X ≥ 22) = Problem 6. (10 points) A restaurants receipts show that the cost of customers' dinners has a distribution with a mean of $54 and a standard deviation of $18. What is the probability that the next 100 customers will spend a total of at least $5800 on dinner? Problem 7. (10 points) The operations manager of a large production plant would like to estimate the mean amount of time a worker takes to assemble a new electronic component. Assume that the standard deviation of this assembly time is 3.6 minutes and is normally distributed. a) (3 points) After observing 120 workers assembling similar devices, the manager noticed that their average time was 16.2 minutes. Construct a 92% confidence interval for the mean assembly time. b) (2 points) How many workers should be involved in this study in order to have the mean assembly time estimated up to ± 15 seconds with 92% confidence? c) (5 points) Construct a 92% confidence interval if instead of observing 120 workers assembling similar devices, rather the manager observes 25 workers and notice their average time was 16.2 minutes with a standard deviation of 4.0 minutes. Problem 8. (10 points): A manufacturer of candy must monitor the temperature at which the candies are baked. Too much variation will cause inconsistency in the taste of the candy. Past records show that the standard deviation of the temperature has been 1.2oF . A random sample of 30 batches of candy is selected, and the sample standard deviation of the temperature is 2.1oF . a. (5 points) At the 0.05 level of significance, is there evidence that the population standard deviation has increased above 1.2oF ? b. (3 points) What assumption do you need to make in order to perform this test? c. (2 points) Compute the p-value in (a) and interpret its meaning.

Take Home Exam 3: Special Note Before Starting the Exam: If you scan your solutions to the exam and save it as a pdf or image file and put it on dropbox and I can not read it or open it, you will not receive credit for the exam. Furthermore, if you write the solutions up in word, latex ect. and give me a print out, which does not include all the pages you will not get credit for the missing pages. Also if your folder on dropbox is not clearly labeled and I can not find your exam then you will not get credit for the exam. Finally, please make sure you put your name on the exam!! Math 2100 Exam 3, Out of Class, Due by December 8th, 2015 at 5:00 pm. Name: Problem 1. (15 points) A random variable is said to have the (standard) Cauchy distribution if its PDF is given by f (x) = 1 π 1 1+ x2 , −∞< x <∞ This problem uses computer simulations to demonstrate that a) samples from this distribution often have extreme outliers (a consequence of the heavy tails of the distribution), and b) the sample mean is prone to the same type of outliers. Below is a graph of the pdf a) (5 points) The R commands x=rcauchy(500); summary(x) generate a random sample of size 500 from the Cauchy distribution and display the sample’s five number summary; Report the five number summary and the interquartile range, and comment on whether or not the smallest and largest numbers generated from this sample of 500 are outliers. Repeat this 10 times. b) (5 points) The R commands m=matrix(rcauchy(50000), nrow=500); xb=apply(m,1,mean);summary(xb) generate the matrix m that has 500 rows, each of which is a sample of size n=100 from the Cauchy distribution, compute the 500 sample means and store them in xb. and display the five number summary xb. Repeat these commands 10 times, and report the 10 sets of five number summaries. Compare with the 10 sets of five number summaries from part (a), and comment on whether or not the distribution of the averages seems to be more prone to extreme outliers as that of the individual observations. c) (5 points) Why does this happen? (hint: try to calculate E(X) and V(X) for this distribution) and does the LLN and CLT apply for samples from a Cauchy distribution? Hint: E(X) is undefined for this distribution unless you use the Cauchy Principle Value as such for the mean lim a→∞ xf (x)dx −a a∫ In addition x2 1+ x2 dx = x2 +1−1 1+ x2 dx = 1− 1 1+ x2 " # $ % & ' ∫ ∫ ∫ dx 1 1+ x2 dx = tan−1 ∫ x +C Problem 2. (5 points) A marketing expert for a pasta-making company believes that 40% of pasta lovers prefer lasagna. If 9 out of 20 pasta lovers choose lasagna over other pastas, what can be concluded about the expert's claim? Use a 0.05 level of significance. Problem 3. (10 points) A coin is tossed 20 times, resulting in 5 heads. Is this sufficient evidence to reject the hypothesis that the coin is balanced in favor of the alternative that heads occur less than 50% of the time (essentially is this significant evidence to claim that the coin is unbalanced in favor of tails)? Use a 0.05 level of significance. Problem 4. (25 points) Since the chemical benzene may cause cancer, the federal government has set the maximum allowable benzene concentration in the workplace at 1 part per million (1 ppm) Suppose that a steel manufacturing plant is under investigation for possible violations regarding benzene level. The Occupational Safety and Health Administration (OSHA) will analyze 14 air samples over a one-month period. Assume normality of the population from which the samples were drawn. a) (3 points) What is an appropriate null hypothesis for this scenario? (Give this in symbols) b) (3 points) What is an appropriate alternative hypothesis for this scenario? (Give this in symbols) c) (3 points) What kind of hypothesis test is this: left-tailed, right-tailed or two-tailed? Explain how you picked your answer. d) (3 points) Is this a one-sample t-test or a one-sample test using a normal distribution? Explain how you picked your answer. e) (4 points) If the test using this sample of size 14 is to be done at the 1% significance level, calculate the critical value(s) and describe the rejection region(s) for the test statistic. Show your work. f) (5 points) OHSA finds the following for their sample of size 14: a mean benzene level of 1.51 ppm and a standard deviation of 1.415 ppm. What should be concluded at the 1% significance level? Support your answer with calculation(s) and reasoning. g) (4 points) Calculate the p-value for this test and verify that this answer would lead to the same conclusion you made in part f. Problem 5. (15 points) A normally distributed random variable Y possesses a mean of μ = 20 and a standard deviation of σ = 5. A random sample of n = 31 observations is to be selected. Let X be the sample average. (X in this problem is really x _ ) a)(5 points) Describe the sampling distribution of X (i.e. describe the distribution of X and give μx, σx ) b) (5 points) Find the z-score of x = 22 c) (5 points) Find P(X ≥ 22) = Problem 6. (10 points) A restaurants receipts show that the cost of customers' dinners has a distribution with a mean of $54 and a standard deviation of $18. What is the probability that the next 100 customers will spend a total of at least $5800 on dinner? Problem 7. (10 points) The operations manager of a large production plant would like to estimate the mean amount of time a worker takes to assemble a new electronic component. Assume that the standard deviation of this assembly time is 3.6 minutes and is normally distributed. a) (3 points) After observing 120 workers assembling similar devices, the manager noticed that their average time was 16.2 minutes. Construct a 92% confidence interval for the mean assembly time. b) (2 points) How many workers should be involved in this study in order to have the mean assembly time estimated up to ± 15 seconds with 92% confidence? c) (5 points) Construct a 92% confidence interval if instead of observing 120 workers assembling similar devices, rather the manager observes 25 workers and notice their average time was 16.2 minutes with a standard deviation of 4.0 minutes. Problem 8. (10 points): A manufacturer of candy must monitor the temperature at which the candies are baked. Too much variation will cause inconsistency in the taste of the candy. Past records show that the standard deviation of the temperature has been 1.2oF . A random sample of 30 batches of candy is selected, and the sample standard deviation of the temperature is 2.1oF . a. (5 points) At the 0.05 level of significance, is there evidence that the population standard deviation has increased above 1.2oF ? b. (3 points) What assumption do you need to make in order to perform this test? c. (2 points) Compute the p-value in (a) and interpret its meaning.

No expert has answered this question yet. You can browse … Read More...
1 Laboratory 3 – Sinusoids in Engineering: Measurement and Analysis of Harmonic Signals 3.1 Laboratory Objective The objective of this laboratory is to understand the basic properties of sinusoids and sinusoid measurements. 3.2 Educational Objectives After performing this experiment, students should be able to: 1. Understand the properties of sinusoids. 2. Understand sinusoidal manipulation 3. Use a function generator 4. Obtain measurements using an oscilloscope 3.3 Background Sinusoids are sine or cosine waveforms that can describe many engineering phenomena. Any oscillatory motion can be described using sinusoids. Many types of electrical signals such as square, triangle, and sawtooth waves are modeled using sinusoids. Their manipulation incurs the understanding of certain quantities that describe sinusoidal behavior. These quantities are described below. 3.3.1 Sinusoid Characteristics Amplitude The amplitude A of a sine wave describes the height of the hills and valleys of a sinusoid. It carries the physical units of what the sinusoid is describing (volts, amps, meters, etc.). Frequency There are two types of frequencies that can describe a sinusoid. The normal frequency f is how many times the sinusoid repeats per unit time. It has units of cycles per second (s-1) or Hertz (Hz). The angular frequency ω is how many radians pass per second. Consequently, ω has units of radians per second. Laboratory 3 – Sinusoids in Engineering: Measurement and Analysis of Harmonic Signals 2 Period The period T is how long a sinusoid takes to repeat one complete cycle. The period is measured in seconds. Phase The phase φ of a sinusoid causes a horizontal shift along the t-axis. The phase has units of radians. TimeShift The time shift ts of a sinusoid is a horizontal shift along the t-axis and is a time measurement of the phase. The time shift has units of seconds. NOTE: A sine wave and a cosine wave only differ by a phase shift of 90° or ?2 radians. In reality, they are the same waveform but with a different φ value. 3.3.2 Sinusoidal Relationships Figure 3.1: Sinusoid The general equation of a sinusoid is given below and refers to Figure 3.1. ?(?) = ????(?? +?) (3.1) The angular frequency is related to the normal frequency by Equation 3.2. ?= 2?? (3.2) The angular frequency is also related to the period by Equation 3.3. ?=2?? (3.3) By inspection, the normal frequency is related to the period by Equation 3.4. ? =1? (3.4) ?? Laboratory 3 – Sinusoids in Engineering: Measurement and Analysis of Harmonic Signals 3 The time shift is related to the phase (radians) and the frequency by Equation 3.5. ??= ∅2?? (3.5) 3.3.3 Equipment 3.3.3.1 Inductors Inductors are electrical components that resist a change in the flow of current passing through them. They are essentially coils of wire. Inductors are electromagnets too. They are represented in schematics using the following symbol and physically using the following equipment (with or without exposed wire): Figure 3.2: Symbol and Physical Example for Inductors 3.3.3.2 Capacitors Capacitors are electrical components that store energy. This enables engineers to store electrical energy from an input source such as a battery. Some capacitors are polarized and therefore have a negative and positive plate. One plate is straight, representing the positive terminal on the device, and the other is curved, representing the negative one. Polarized capacitors are represented in schematics using the following symbol and physically using the following equipment: Figure 3.3: Symbol and Physical Example for Capacitors 3.3.3.3 Function Generator A function generator is used to create different types of electrical waveforms over a wide range of frequencies. It generates standard sine, square, and triangle waveforms and uses the analog output channel. 3.3.3.5 Oscilloscope An oscilloscope is a type of electronic test instrument that allows observation of constantly varying voltages, usually as a two-dimensional plot of one or more signals as a function of time. It displays voltage data over time for the analysis of one or two voltage measurements taken from the analog input channels of the Oscilloscope. The observed waveform can be analyzed for amplitude, frequency, time interval and more. Laboratory 3 – Sinusoids in Engineering: Measurement and Analysis of Harmonic Signals 4 3.4 Procedure Follow the steps outlined below after the instructor has explained how to use the laboratory equipment 3.4.1 Sinusoidal Measurements 1. Connect the output channel of the Function Generator to the channel one of the Oscilloscope. 2. Complete Table 3.1 using the given values for voltage and frequency. Table 3.1: Sinusoid Measurements Function Generator Oscilloscope (Measured) Calculated Voltage Amplitude, A (V ) Frequency (Hz) 2*A (Vp−p ) f (Hz) T (sec) ω (rad/sec) T (sec) 2.5 1000 3 5000 3.4.2 Circuit Measurements 1. Connect the circuit in figure 3.4 below with the given resistor and capacitor NOTE: Vs from the circuit comes from the Function Generator using a BNC connector. Figure 3.4: RC Circuit Laboratory 3 – Sinusoids in Engineering: Measurement and Analysis of Harmonic Signals 5 2. Using the alligator to BNC cables, connect channel one of the Oscilloscope across the capacitor and complete Table 3.2 Table 3.2: Capacitor Sinusoid Function Generator Oscilloscope (Measured) Calculated Vs (Volts) Frequency (Hz) Vc (volts) f (Hz) T (sec) ω (rad/sec) 2.5 100 3. Disconnect channel one and connect channel two of the oscilloscope across the resistor and complete table 3.3. Table 3.3: Resistor Sinusoid Function Generator Oscilloscope (Measured) Calculated Vs (Volts) Frequency (Hz) VR (volts) f (Hz) T (sec) ω (rad/sec) 2.5 100 4. Leaving channel two connected across the resistor, clip the positive lead to the positive side of the capacitor and complete table 3.4 Table 3.4: Phase Difference Function Generator Oscilloscope (Measured) Calculated Vs (volts) Frequency (Hz) Divisions Time/Div (sec) ts (sec) ɸ (rad) ɸ (degrees) 2.5 100 5. Using the data from Tables 3.2, 3.3, and 3.4, plot the capacitor sinusoidal equation and the resistor sinusoidal equation on the same graph using MATLAB. HINT: Plot over one period. 6. Kirchoff’s Voltage Law states that ??(?)=??(?)+??(?). Calculate Vs by hand using the following equation and Tables 3.2 and 3.3 ??(?)=√??2+??2???(??−???−1(????)) Laboratory 3 – Sinusoids in Engineering: Measurement and Analysis of Harmonic Signals 6 3.5 New MATLAB Commands hold on  This command allows multiple graphs to be placed on the same XY axis and is placed after the first plot statement. legend (’string 1’, ’string2’, ‘string3’)  This command adds a legend to the plot. Strings must be placed in the order as the plots were generated. plot (x, y, ‘line specifiers’)  This command plots the data and uses line specifiers to differentiate between different plots on the same XY axis. In this lab, only use different line styles from the table below. Table 3.5: Line specifiers for the plot() command sqrt(X)  This command produces the square root of the elements of X. NOTE: The “help” command in MATLAB can be used to find a description and example for functions such as input.  For example, type “help input” in the command window to learn more about the input function. NOTE: Refer to section the “MATLAB Commands” sections from prior labs for previously discussed material that you may also need in order to complete this assignment. Laboratory 3 – Sinusoids in Engineering: Measurement and Analysis of Harmonic Signals 7 3.6 Lab Report Requirements 1. Complete Tables 3.1, 3.2, 3.3, 3.4 (5 points each) 2. Show hand calculations for all four tables. Insert after this page (5 points each) 3. Draw the two sinusoids by hand from table 3.1. Label amplitude, period, and phase. Insert after this page. (5 points) 4. Insert MATLAB plot of Vc and VR as obtained from data in Tables 3.2 and 3.3 after this page. (5 points each) 5. Show hand calculations for Vs(t). Insert after this page. (5 points) 6. Using the data from the Tables, write: (10 points) a) Vc(t) = b) VR(t) = 7. Also, ???(?)=2.5???(628?). Write your Vs below and give reasons why they are different. (10 points) a) Vs(t) = b) Reasons: 8. Write an executive summary for this lab describing what you have done, and learned. (20 points)

1 Laboratory 3 – Sinusoids in Engineering: Measurement and Analysis of Harmonic Signals 3.1 Laboratory Objective The objective of this laboratory is to understand the basic properties of sinusoids and sinusoid measurements. 3.2 Educational Objectives After performing this experiment, students should be able to: 1. Understand the properties of sinusoids. 2. Understand sinusoidal manipulation 3. Use a function generator 4. Obtain measurements using an oscilloscope 3.3 Background Sinusoids are sine or cosine waveforms that can describe many engineering phenomena. Any oscillatory motion can be described using sinusoids. Many types of electrical signals such as square, triangle, and sawtooth waves are modeled using sinusoids. Their manipulation incurs the understanding of certain quantities that describe sinusoidal behavior. These quantities are described below. 3.3.1 Sinusoid Characteristics Amplitude The amplitude A of a sine wave describes the height of the hills and valleys of a sinusoid. It carries the physical units of what the sinusoid is describing (volts, amps, meters, etc.). Frequency There are two types of frequencies that can describe a sinusoid. The normal frequency f is how many times the sinusoid repeats per unit time. It has units of cycles per second (s-1) or Hertz (Hz). The angular frequency ω is how many radians pass per second. Consequently, ω has units of radians per second. Laboratory 3 – Sinusoids in Engineering: Measurement and Analysis of Harmonic Signals 2 Period The period T is how long a sinusoid takes to repeat one complete cycle. The period is measured in seconds. Phase The phase φ of a sinusoid causes a horizontal shift along the t-axis. The phase has units of radians. TimeShift The time shift ts of a sinusoid is a horizontal shift along the t-axis and is a time measurement of the phase. The time shift has units of seconds. NOTE: A sine wave and a cosine wave only differ by a phase shift of 90° or ?2 radians. In reality, they are the same waveform but with a different φ value. 3.3.2 Sinusoidal Relationships Figure 3.1: Sinusoid The general equation of a sinusoid is given below and refers to Figure 3.1. ?(?) = ????(?? +?) (3.1) The angular frequency is related to the normal frequency by Equation 3.2. ?= 2?? (3.2) The angular frequency is also related to the period by Equation 3.3. ?=2?? (3.3) By inspection, the normal frequency is related to the period by Equation 3.4. ? =1? (3.4) ?? Laboratory 3 – Sinusoids in Engineering: Measurement and Analysis of Harmonic Signals 3 The time shift is related to the phase (radians) and the frequency by Equation 3.5. ??= ∅2?? (3.5) 3.3.3 Equipment 3.3.3.1 Inductors Inductors are electrical components that resist a change in the flow of current passing through them. They are essentially coils of wire. Inductors are electromagnets too. They are represented in schematics using the following symbol and physically using the following equipment (with or without exposed wire): Figure 3.2: Symbol and Physical Example for Inductors 3.3.3.2 Capacitors Capacitors are electrical components that store energy. This enables engineers to store electrical energy from an input source such as a battery. Some capacitors are polarized and therefore have a negative and positive plate. One plate is straight, representing the positive terminal on the device, and the other is curved, representing the negative one. Polarized capacitors are represented in schematics using the following symbol and physically using the following equipment: Figure 3.3: Symbol and Physical Example for Capacitors 3.3.3.3 Function Generator A function generator is used to create different types of electrical waveforms over a wide range of frequencies. It generates standard sine, square, and triangle waveforms and uses the analog output channel. 3.3.3.5 Oscilloscope An oscilloscope is a type of electronic test instrument that allows observation of constantly varying voltages, usually as a two-dimensional plot of one or more signals as a function of time. It displays voltage data over time for the analysis of one or two voltage measurements taken from the analog input channels of the Oscilloscope. The observed waveform can be analyzed for amplitude, frequency, time interval and more. Laboratory 3 – Sinusoids in Engineering: Measurement and Analysis of Harmonic Signals 4 3.4 Procedure Follow the steps outlined below after the instructor has explained how to use the laboratory equipment 3.4.1 Sinusoidal Measurements 1. Connect the output channel of the Function Generator to the channel one of the Oscilloscope. 2. Complete Table 3.1 using the given values for voltage and frequency. Table 3.1: Sinusoid Measurements Function Generator Oscilloscope (Measured) Calculated Voltage Amplitude, A (V ) Frequency (Hz) 2*A (Vp−p ) f (Hz) T (sec) ω (rad/sec) T (sec) 2.5 1000 3 5000 3.4.2 Circuit Measurements 1. Connect the circuit in figure 3.4 below with the given resistor and capacitor NOTE: Vs from the circuit comes from the Function Generator using a BNC connector. Figure 3.4: RC Circuit Laboratory 3 – Sinusoids in Engineering: Measurement and Analysis of Harmonic Signals 5 2. Using the alligator to BNC cables, connect channel one of the Oscilloscope across the capacitor and complete Table 3.2 Table 3.2: Capacitor Sinusoid Function Generator Oscilloscope (Measured) Calculated Vs (Volts) Frequency (Hz) Vc (volts) f (Hz) T (sec) ω (rad/sec) 2.5 100 3. Disconnect channel one and connect channel two of the oscilloscope across the resistor and complete table 3.3. Table 3.3: Resistor Sinusoid Function Generator Oscilloscope (Measured) Calculated Vs (Volts) Frequency (Hz) VR (volts) f (Hz) T (sec) ω (rad/sec) 2.5 100 4. Leaving channel two connected across the resistor, clip the positive lead to the positive side of the capacitor and complete table 3.4 Table 3.4: Phase Difference Function Generator Oscilloscope (Measured) Calculated Vs (volts) Frequency (Hz) Divisions Time/Div (sec) ts (sec) ɸ (rad) ɸ (degrees) 2.5 100 5. Using the data from Tables 3.2, 3.3, and 3.4, plot the capacitor sinusoidal equation and the resistor sinusoidal equation on the same graph using MATLAB. HINT: Plot over one period. 6. Kirchoff’s Voltage Law states that ??(?)=??(?)+??(?). Calculate Vs by hand using the following equation and Tables 3.2 and 3.3 ??(?)=√??2+??2???(??−???−1(????)) Laboratory 3 – Sinusoids in Engineering: Measurement and Analysis of Harmonic Signals 6 3.5 New MATLAB Commands hold on  This command allows multiple graphs to be placed on the same XY axis and is placed after the first plot statement. legend (’string 1’, ’string2’, ‘string3’)  This command adds a legend to the plot. Strings must be placed in the order as the plots were generated. plot (x, y, ‘line specifiers’)  This command plots the data and uses line specifiers to differentiate between different plots on the same XY axis. In this lab, only use different line styles from the table below. Table 3.5: Line specifiers for the plot() command sqrt(X)  This command produces the square root of the elements of X. NOTE: The “help” command in MATLAB can be used to find a description and example for functions such as input.  For example, type “help input” in the command window to learn more about the input function. NOTE: Refer to section the “MATLAB Commands” sections from prior labs for previously discussed material that you may also need in order to complete this assignment. Laboratory 3 – Sinusoids in Engineering: Measurement and Analysis of Harmonic Signals 7 3.6 Lab Report Requirements 1. Complete Tables 3.1, 3.2, 3.3, 3.4 (5 points each) 2. Show hand calculations for all four tables. Insert after this page (5 points each) 3. Draw the two sinusoids by hand from table 3.1. Label amplitude, period, and phase. Insert after this page. (5 points) 4. Insert MATLAB plot of Vc and VR as obtained from data in Tables 3.2 and 3.3 after this page. (5 points each) 5. Show hand calculations for Vs(t). Insert after this page. (5 points) 6. Using the data from the Tables, write: (10 points) a) Vc(t) = b) VR(t) = 7. Also, ???(?)=2.5???(628?). Write your Vs below and give reasons why they are different. (10 points) a) Vs(t) = b) Reasons: 8. Write an executive summary for this lab describing what you have done, and learned. (20 points)

info@checkyourstudy.com
The charge required to operate the flash lamp of a camera is 30uC. if a capacitor charged with a 6 volt battery is used to supply this charge, what is its capacitance and how much energy does it store ? a) C=2uF;U=9*10-5J, b) C=5uF;U=9*10-5J, c) C=5uF;U=1.8*10-4 J, d) C=180uF;U=4.5*10-5J, e) C=180uF;U=9*10-5J,

The charge required to operate the flash lamp of a camera is 30uC. if a capacitor charged with a 6 volt battery is used to supply this charge, what is its capacitance and how much energy does it store ? a) C=2uF;U=9*10-5J, b) C=5uF;U=9*10-5J, c) C=5uF;U=1.8*10-4 J, d) C=180uF;U=4.5*10-5J, e) C=180uF;U=9*10-5J,

The charge required to operate the flash lamp of a … Read More...
Dynamo: Amazon’s Highly Available Key-value Store http://www.read.seas.harvard.edu/~kohler/class/cs239-w08/decandia07dynamo.pdf 1. Why is commonly-accepted performance-oriented SLA specification using average, median, and expected variance inadequate at Amazon, who desires to provide all customers a good experience? (Section 2.2)

Dynamo: Amazon’s Highly Available Key-value Store http://www.read.seas.harvard.edu/~kohler/class/cs239-w08/decandia07dynamo.pdf 1. Why is commonly-accepted performance-oriented SLA specification using average, median, and expected variance inadequate at Amazon, who desires to provide all customers a good experience? (Section 2.2)

Amazon follows a decentralized service destined infrastructure. For example: wherever … Read More...
What closing time should Citywide Spirits Shoppe choose to maximize profits? Calculate the increase in profits (relative to the current closing time of 10pm) that would result from extending store hours to 4am. If you recommend a different closing time, calculate the increase in profits (again relative to the current closing time) that would result from your recommendation.

What closing time should Citywide Spirits Shoppe choose to maximize profits? Calculate the increase in profits (relative to the current closing time of 10pm) that would result from extending store hours to 4am. If you recommend a different closing time, calculate the increase in profits (again relative to the current closing time) that would result from your recommendation.

What closing time should Citywide Spirits Shoppe choose to maximize … Read More...
Excel Review Assignment #1 – ISM3011 Ask before/after/during class or come into office/online hours if you have questions on any of this. Refer to the syllabus on Academic Dishonesty and group/individual work and allowable help for all projects – also remember it’s your responsibility to protect your work. Before you start — read this whole assignment and use your optional text and/or review the tutorials as necessary on Canvas or www.bwarner.org/tips. A project overview for each project is also available. Part 1 – Create / Download / Parts • Create a blank workbook. Name it using your Last name followed by your initials and _ 1EX (underscore then 1EX). For Example: WarnerBL_1EX .xlsx. Either extension is fine. • Download the Word file Ex1 Data1-F15.docx and copy/paste Word table from the file into the 2nd worksheet in your workbook. Name the tab ‘2014 Sales’. • Download the Word file Ex1 Data2-F15.docx and copy/paste Word table from the file into the 3rd worksheet in your workbook. Name the tab ‘2015 Sales’. • Adjust the column widths of both Sales worksheets so that no data is cut off. • Do not add any formulas or cells to the Sales worksheets Part 2 – Summary Worksheet • Create a summary sheet from the Sales worksheets. Name the worksheet ‘Summary’. Build two summaries on this worksheet. Summary 1: Comparison of Sales by Month and Summary 2: Comparison of Sales by Store ID. • Use the project overview as a guide for the format. Use colors, borders and backgrounds to make the worksheet look professional. o Include the following:  Month and Store ID headings that reference the 2014 Sales worksheet. This means if ‘January’ is changed to ‘Jan’ in the 2014 Sales worksheet, the summary worksheet heading will also change. Do the same with the Store ID and 2014 Sales worksheet.  Formulas that reference the 2014 and 2015 Sales worksheets. If the Sales worksheets change, the summary worksheet should also adjust automatically.  Correct format for all book totals (commas, no decimal places)  Correct % change formulas in both tables. This is how much the totals have changed compared to the 2014 totals.  Correct format for all % change (% sign, 1 decimal place).  Use borders and background colors on the column & row headings for both tables of data • On the summary worksheet, use conditional formatting to highlight any % change cell that greater than zero with a bright color background. If the % change is negative, display the value with a red font and no background color. o There should be only two conditional formats set on each cell. o **Note – to do the conditional formatting steps, you can set the conditional formatting for one cell and then use the format painter to apply to other appropriate cells. If the values are all changed, the conditional formatting should still work. Once you have it working, check by changing some values & see if the conditional formatting changes correctly. Return to the original values/formulas in the cell before you submit. If you don’t use the format painter for this be sure you still try it out & understand how it works. Part 3 – Chart • Create 2 column graphs displaying Totals by Month and Totals by Store ID. Include: • Titles on both chart as well as labeling on the x and the y axis. • Color fonts for the title and axis labels (not dark blue or black) • Large font for the title (at least 16 point) • Include a legend • Format the background (chart area/walls) of the graph with a texture – use one that is easy to see. • Be sure that if any headings or numbers in the worksheets change, these changes are automatically reflected in your chart. • Add a star or banner shape between the two charts and add your name. Be sure the text is part of the shape (not a shape and a separate text box). Part 4 – Finishing Up • Be sure your worksheet tabs are named correctly and if possible, make each worksheet tab a distinctly different color. If your version of Excel doesn’t allow this, don’t worry about it. But do delete any additional worksheets in the workbook. • Create a title in the first row of your summary worksheet. Use the merge and center feature (across all columns with data) and a larger font & different font color (not blue or black). Also add a background color. Add a comment with your email address and the date your spreadsheet was created. • Below the title, add a row with the current date (use the today or now formula) so it is updated whenever the spreadsheet is opened). • Check your formulas, be sure they are correct and make sense. For example, if you are subtracting 2 numbers don’t use the SUM formulas (sum is for adding). Excel may figure out what you mean, but we want the formulas to be used correctly (show that you understand how to use them). • Check your worksheet for errors! Potential errors in cells show up as small green triangles in the top left corner of each cell. Do a little Googling on error checking for your version of Excel and be sure you have error checking turned on and that you reconcile each error so they don’t display when we open your project for grading. Sample: Project Submission Instructions / Notes: • Office/online hours get busy as deadlines approach. If you procrastinate and wait until the last days to work on your project, you may not be able to get all the help you want. • The only way we can fairly grade the projects is if we check for each requirement. Please go through the instructions before you submit & be sure you have done each one correctly so you don’t miss out on points. Compare your solution to the project overview. • Submitting: o Remember to leave all of the internal file properties intact for your project, if they are modified or deleted, you project won’t be accepted (see syllabus for more on this). o Read and follow the instructions in the Assignments section of Canvas on uploading and checking your upload. If you follow these instructions you can ensure that your project is uploaded correctly (and is the correct project). Be sure that Access / Excel are closed before you try to upload your project files. o If your project doesn’t upload correctly before the due date, it will be considered late and be assessed the late penalty – even it was finished on time. This is the only way we can ensure that students check their Canvas submissions. • Technology problems relating to your home computer (Windows based or Mac), internet connection or slow Canvas access are not valid excuses for late/missing work, unless Canvas is down for 6+ hours on the due date. Computers at USF computer labs and the library are available; leave enough time to access them as needed. Also give yourself enough time that if a TA can’t answer a question, you’ll have time to contact me & I can either help you or make an allowance in your grade. If you wait until the last days, I may not be able to do either.

Excel Review Assignment #1 – ISM3011 Ask before/after/during class or come into office/online hours if you have questions on any of this. Refer to the syllabus on Academic Dishonesty and group/individual work and allowable help for all projects – also remember it’s your responsibility to protect your work. Before you start — read this whole assignment and use your optional text and/or review the tutorials as necessary on Canvas or www.bwarner.org/tips. A project overview for each project is also available. Part 1 – Create / Download / Parts • Create a blank workbook. Name it using your Last name followed by your initials and _ 1EX (underscore then 1EX). For Example: WarnerBL_1EX .xlsx. Either extension is fine. • Download the Word file Ex1 Data1-F15.docx and copy/paste Word table from the file into the 2nd worksheet in your workbook. Name the tab ‘2014 Sales’. • Download the Word file Ex1 Data2-F15.docx and copy/paste Word table from the file into the 3rd worksheet in your workbook. Name the tab ‘2015 Sales’. • Adjust the column widths of both Sales worksheets so that no data is cut off. • Do not add any formulas or cells to the Sales worksheets Part 2 – Summary Worksheet • Create a summary sheet from the Sales worksheets. Name the worksheet ‘Summary’. Build two summaries on this worksheet. Summary 1: Comparison of Sales by Month and Summary 2: Comparison of Sales by Store ID. • Use the project overview as a guide for the format. Use colors, borders and backgrounds to make the worksheet look professional. o Include the following:  Month and Store ID headings that reference the 2014 Sales worksheet. This means if ‘January’ is changed to ‘Jan’ in the 2014 Sales worksheet, the summary worksheet heading will also change. Do the same with the Store ID and 2014 Sales worksheet.  Formulas that reference the 2014 and 2015 Sales worksheets. If the Sales worksheets change, the summary worksheet should also adjust automatically.  Correct format for all book totals (commas, no decimal places)  Correct % change formulas in both tables. This is how much the totals have changed compared to the 2014 totals.  Correct format for all % change (% sign, 1 decimal place).  Use borders and background colors on the column & row headings for both tables of data • On the summary worksheet, use conditional formatting to highlight any % change cell that greater than zero with a bright color background. If the % change is negative, display the value with a red font and no background color. o There should be only two conditional formats set on each cell. o **Note – to do the conditional formatting steps, you can set the conditional formatting for one cell and then use the format painter to apply to other appropriate cells. If the values are all changed, the conditional formatting should still work. Once you have it working, check by changing some values & see if the conditional formatting changes correctly. Return to the original values/formulas in the cell before you submit. If you don’t use the format painter for this be sure you still try it out & understand how it works. Part 3 – Chart • Create 2 column graphs displaying Totals by Month and Totals by Store ID. Include: • Titles on both chart as well as labeling on the x and the y axis. • Color fonts for the title and axis labels (not dark blue or black) • Large font for the title (at least 16 point) • Include a legend • Format the background (chart area/walls) of the graph with a texture – use one that is easy to see. • Be sure that if any headings or numbers in the worksheets change, these changes are automatically reflected in your chart. • Add a star or banner shape between the two charts and add your name. Be sure the text is part of the shape (not a shape and a separate text box). Part 4 – Finishing Up • Be sure your worksheet tabs are named correctly and if possible, make each worksheet tab a distinctly different color. If your version of Excel doesn’t allow this, don’t worry about it. But do delete any additional worksheets in the workbook. • Create a title in the first row of your summary worksheet. Use the merge and center feature (across all columns with data) and a larger font & different font color (not blue or black). Also add a background color. Add a comment with your email address and the date your spreadsheet was created. • Below the title, add a row with the current date (use the today or now formula) so it is updated whenever the spreadsheet is opened). • Check your formulas, be sure they are correct and make sense. For example, if you are subtracting 2 numbers don’t use the SUM formulas (sum is for adding). Excel may figure out what you mean, but we want the formulas to be used correctly (show that you understand how to use them). • Check your worksheet for errors! Potential errors in cells show up as small green triangles in the top left corner of each cell. Do a little Googling on error checking for your version of Excel and be sure you have error checking turned on and that you reconcile each error so they don’t display when we open your project for grading. Sample: Project Submission Instructions / Notes: • Office/online hours get busy as deadlines approach. If you procrastinate and wait until the last days to work on your project, you may not be able to get all the help you want. • The only way we can fairly grade the projects is if we check for each requirement. Please go through the instructions before you submit & be sure you have done each one correctly so you don’t miss out on points. Compare your solution to the project overview. • Submitting: o Remember to leave all of the internal file properties intact for your project, if they are modified or deleted, you project won’t be accepted (see syllabus for more on this). o Read and follow the instructions in the Assignments section of Canvas on uploading and checking your upload. If you follow these instructions you can ensure that your project is uploaded correctly (and is the correct project). Be sure that Access / Excel are closed before you try to upload your project files. o If your project doesn’t upload correctly before the due date, it will be considered late and be assessed the late penalty – even it was finished on time. This is the only way we can ensure that students check their Canvas submissions. • Technology problems relating to your home computer (Windows based or Mac), internet connection or slow Canvas access are not valid excuses for late/missing work, unless Canvas is down for 6+ hours on the due date. Computers at USF computer labs and the library are available; leave enough time to access them as needed. Also give yourself enough time that if a TA can’t answer a question, you’ll have time to contact me & I can either help you or make an allowance in your grade. If you wait until the last days, I may not be able to do either.

No expert has answered this question yet. You can browse … Read More...