Engineering

PANPACIFIC UNIVERSITYSchool Of EngineeringProblem set1. What is the value of surface tension of a small drop of water 0.3mm in diameter which is in contact with air if the pressure within the droplet is 561Pa?2. A Hg barometer at the base of Mt. Pek reads 600mm and at the same time another barometer at the top reads 450mm. What is the approximate height of Mt. Pek?3. A building in Panpacific University is 30m high above the street level. The required static pressure of water line at the top of the building is 20kg per square meter. What must be the pressure in kPa in themain water line located 4m below the street level?4. The viscosity of water at 20?C is 1.008 centipoise. Compute for the following: a. Absolute viscosity in Pa-s b. Kinematic viscosity in m²/s and stokes5. Estimate the height to which water at 70?F will rise in a tube of diameter 0.120in. Surface tension is 0.00497lb/ft. Express your answer in inches.6. In the figure shown what is the static pressure in kPa in the air chamber?2mOil 4m2m sg=0.803mH207. For the manometer shown, determine the difference in pressure between A and BOil, sg=0.85800mmB2000mmA Water8. Air is kept at a pressure of 200kPa absolute and at a temperature of 30?C in a 500-liter container. What is the mass of the air?9. A liquid compressed in a container has a volume of 2liter at a pressure of 1MPa and a volume of 1 liter at a pressure of 2MPa. What is the bulk modulus of elasticity of the liquid?10. Determine the pressure difference between pipes A and B.WaterA 1.50mB1.0m0.50m 1.30mMercury11. A vertical rectangular gate 2m wide and 4m high is submerged in water with its top edge 2m below the water surface. Find the total pressure acting on one side of the gate and itslocation from the bottom.12. A vertical triangular surface of height 3m and horizontal base width of 1.5 m is submerged in a liquid with its vertex at the liquid surface. Determine the total force F acting on oneside and its location from the liquid surface.13. A 20m long Dam retains 8m of water. Find the total resultant force acting on the dam and the location of the center of pressure from the bottom.14. A dam is triangular in cross section with the upstream face vertical. Water is flushed withthe top. The dam is 8m high and 6m wide at the base. The coefficient of friction between thebase and foundation is 0.8. Determine the factors of safety against a) overturning ; b)sliding.15. The section of a concrete gravity dam shown in the figure. The depth of water at the upstream side is 6m. Neglect hydrostatic uplift and use unit weight of concrete equal to23.5 kN/m³. Coefficient of friction between the base of the dam and the foundation is 0.60.Determine the following; a) factor of safety against sliding; b) the factor of safety againstoverturning; c) the overturning moment acting against the dam in kN-m.

Engineering Skills and Ethics – GENEG107, SPRING 2021ASSIGNMENT# 2Date due: February 14 (Sunday), 2021Objective: Demonstrate improved communication skills (CLO 4) Read the sample project “Design of a Multifunction Pen” posted on the blackboard then write a two-page (1000 words) analysis, as a critique, on the following:• The abstract• The introduction• Identifying constraints and criteria of success (The Properties, Weight, and Justification, step3, page 6 of the report).• The analysis of each potential solution (Step 5, page 14 of the report).• The conclusion• The format of the report.Qatar University College of EngineeringDepartment of Electrical Engineering

Programming Problem:1. [42 points] In this problem, we write a program to estimate the parameters for an unknown polynomial using the polyfit() function of the numpy package.1) Please plot the noisy data and the polynomial you found (in the same figure). You can use any value of m selected from 2, 3, 4, 5, 6.2) Plot MSE versus order m, for m = 1, 2, 3, 4, 5, 6, 7, 8 respectively. Identify the best choice of m.3) Change variable noise_scale to 150, 200, 400, 600, 1000 respectively, re-run the algorithm and plot the polynomials with the m found in 2). Discuss the impact of noise scale to the accuracy of the returned parameters. [You need to plot a figure like in 1) for each choice of noise_scale.]4) Change variable number_of_samples to 40, 30, 20, 10 respectively, re-ran the algorithm and plot the polynomials with the m found in 2). Discuss the impact of the number of samples to the accuracy of the returned parameters. [You need to plot a figure like in 1) for each choice of number_of_samples.]A simulated dataset will be provided as below. The polynomial used is y = 5 * x + 20 * x2 + x3.Simulated data is given as follows in Python: import matplotlib.pyplot as plt plt.style.use(‘seaborn-whitegrid’) import numpy as npnoise_scale = 100number_of_samples = 50x = 25*(np.random.rand(number_of_samples, 1) – 0.8)y = 5 * x + 20 * x**2 + 1 * x**3 + noise_scale*np.random.randn(number_of_samples, 1) plt.plot(x,y,’ro’)

need a presentation of atleast 10 slides on blockchain technology in Aerospace/defense with being in the format of1. Overview of the industry2. Gap and issues in the industry3. Proposed Solution4. Steps to Implement.

For the Unit VIII Case Study, you will focus on terrorism and terrorism prevention in southern California. Start by conducting research around Southern California for examples of mitigation and prevention against terrorism. When looking for terrorism in Southern California, consider examples such as an active shooter threat or actual occurrence or a bomb threat or occurrence. For example, if you are in the Boston area, consider the Boston Marathon bombing, prevention methods used in museums, metal detectors, etc. If you are not in an area where terrorism is a concern, research an area that is, and use online images.Use photographs of what you find so that you can show your professor what your area has done to address the issue of terrorism. If you are unable to find prevention methods in your community, you may use a nearby community or research one.Using what you learned about southern California and what you learned about past disasters from this course, write a case study, a minimum of four pages in length, that addresses the following points.Explain what has been done with regard to mitigation, recovery, and/or response efforts within your community or the community you researched. Mitigation examples include security, cameras, and metal detectors.Explain who conducted these efforts and the vulnerabilities they faced in their community and include the role these individuals or groups play with mitigating, responding, and/or recovering from the risk.Research at least one major disaster that resulted due to terrorism. Explain the mitigation and recovery efforts.What can your community, or the community you researched, learn from past disasters?Consider the types of communication that would need to be used in the event of a terror attack. Discuss the organizations that would be involved, the forms of media that would be used, and the types of communication that would need to be provided to the public.Your paper should be a minimum of four pages in length not counting the title and reference pages. You are required to use a minimum of three outside sources as part of your case study. All sources, including the textbook, must be cited and referenced according to APA guidelines.Additionally, include at least four visual aids/images that support your content (one 4-by-4 inch image per page maximum). Please incorporate those into your paper in APA format.Edit question’s attachments..

Discussion Question 1: Define data mining. Why are there many names and definitions for data mining?Discussion Question 2: What are the main reasons for the recent popularity of data mining?Discussion Question 3: Discuss what an organization should consider before making a decision to purchase data mining software.Discussion Question 4: Distinguish data mining from other analytical tools and techniques.Discussion Question 5: Discuss the main data mining methods. What are the fundamental differences among them?Exercise #1: Visit teradatauniversitynetwork.com. Identify case studies and white papers about data mining. Describe recent development in the field of data mining and predictive modeling.

What are three network security management best practices? Please explain182

Discussion 1:In today’s world, data is being generated from various sources and in various formats; as the internet utilization is drastically increasing from different devices like sensors, cc cameras, laptops, workstations, tablets and iPad’s; the data available from internet is in unstructured formats and available in the form of text files, pdf files, images, videos, tweets and other formats (García, Luengo & Herrera, 2015). The collected is not normalized, clean, availability of incomplete data, de-normalized and unprocessed data. Using direct raw or unprocessed data produced false results and it is not useful for analytics.To process the data and used for the analytics, the quality of data is based on the three factors like accuracy, completeness, and consistency. Initially the data need to be accurate where the inaccuracy causes by human enters random data or chance of entering error data so incorrect and duplication of data causes inaccuracy in data processing. The other factor make sure is completeness where the incomplete data caused by data unavailability, and deleting consistent data. The third factor is consistency, to process the data in order to produce the analytical results maintaining the consistent data is one of the key factors.To perform various analysis where using processed data helps in generating various graphs and tables in decision making. The four stages that include preprocessing the data are data cleaning, data integration, data reduction and data transformation (Kamiran, & Calders, 2012). The first stage data cleaning involves identifying the missing values and eliminating noisy data. In order to remove noisy data different techniques used are binning, regression and outlier analysis. The second stage is data integration- data is being collected from various sources it is necessary to integrate the data to identify the related or correlated data. The third stage is data reduction- using different techniques data reduction helps in eliminating the duplicate data and reduces large volumes of data. Final stage is data transformation- data transformation helps in forming appropriate data in performing various algorithms and analytic techniques.ReferencesGarcía, S., Luengo, J., & Herrera, F. (2015). Data preprocessing in data mining (pp. 195-243). Cham, Switzerland: Springer International Publishing.Kamiran, F., & Calders, T. (2012). Data preprocessing techniques for classification without discrimination. Knowledge and Information Systems, 33(1), 1-33.Discussion 2:Why are the original/raw data not readily usable by analytics tasks?Raw data is usually dirty, inaccurate and misaligned. This means that it cannot be utilized in its raw format (Sharda et al., 2020). Moreover, raw data can be unstructured and overly complicated. This means that data analytics have to be performed to transform raw data into refined data (Sharda et al., 2020). Therefore, data analytics is a critical approach to transform raw data into refined data.What are the main data preprocessing steps?The process starts with data consolidation, which collects, selects and integrates data. It may involve filtering any unnecessary data before its adequately utilized. The next step data cleaning, which ensures that errors are removed from the data (Sharda et al., 2020). Moreover, in this step, data is usually imputed and eliminates any duplication of data. The third step, data transformation, involves standardization, where data is placed in a range between the smallest and largest data. Nevertheless, discretion involves the categorization of data into different classifications (Alasadi & Bhaya, 2017). In data transformation, there is the creation of different attributes of data. The last step in data preprocessing is data reduction, which ensures reduced dimension, reduced volume and balanced data (Alasadi & Bhaya, 2017). The last step ensures that there is no too much data, which may be challenging to handle.List and explain their importance in analytics.Data consolidation, the first step, is essential because it allows for data collection, selection and integration. In this step, all the unnecessary data is usually eliminated to ensure that only appropriate data is available (Losarwar, V., & Joshi, 2012). In data cleaning, data scrubbing is vital because it ensures that all the data with errors is removed. Moreover, the step ensures that there is a reduction in duplication, removing data redundancy. Data transformation enables easier categorization of data (Alasadi & Bhaya, 2017). This is important because when data is organized into categories, it can efficiently be utilized, which would be impossible when data is unstructured (Sharda et al., 2020). Data reduction enables data balancing to ensure that some of the data is not over or under-sampled. Therefore, the process of preprocessing is necessary for data analytics.

The assignment is to write about how aging aircraft effects maintenance. What are the struggle in maintaining aging aircraft in service and proper procedures for doing so.

****Only use these three online repositories to locate these sources—do not consult Google or any other search engine.**** Open these three links to digital repositories containing resources related to the dropping of the atomic bomb. Browse through each repository (Truman Library Collections, Voices of the Manhattan Project, and National Security Archive), and think about how useful these repositories would be to you if you were a historian seeking to write a biography on the scientist Leo Szilard (pronounced SIL-lard) who helped develop the atomic bomb and also campaigned against its use. https://www.trumanlibrary.gov/library https://www.manhattanprojectvoices.org/ https://www.atomicheritage.org/ As you explore each repository, try to locate the following primary sources that you might consult to write a chapter about Szilard’s campaign against dropping the atomic bomb. Each primary source is located in only one of the above repositories. Try your best to locate each source, but it is OK if you are not able to locate all three. If you are successful in your search, try skimming through the sources you find. 1.The transcription of the oral history interview with Tom Evans, a close friend of President Truman’s, discussing scientists’ opposition to the use of the atomic bomb 2.A petition against the use of the atomic bomb circulated by Szilard directed toward President Truman 3.An interview with Lilli Hornig, a scientist who signed Szilard’s petition against the use of the atomic bomb To do this, develop search terms similar to the examples shown in the Module Two Module Overview. Only use these three online repositories to locate these sources—do not consult Google or any other search engine. Take notes on the search terms that are successful and keep the links to the sources you find. In two to three sentences, respond to each question. To develop your responses, combine your experience using search terms to locate the three primary sources in this module with your own reflections on the questions posed. Regardless of whether or not you were able to find all three primary sources, complete all question prompts before you submit your responses. If you were not able to find the primary sources, let your instructor know what search terms you did use so he or she can provide you with feedback on how to develop effective search terms. 1.Describe your overall experience locating these primary sources. Was it challenging or straightforward? Do you learn anything interesting along the way? 2.Were you able to locate an interview with Tom Evans, a close friend of President Truman’s, who interacted with scientists who were trying to reach Truman with their campaign against the use of the atomic bomb? Share your search terms and a link to the primary source. 3.Were you able to locate a petition against the use of the atomic bomb circulated by Leo Szilard directed toward President Truman? Share your search terms and a link to the primary source.4.Were you able to locate an interview with Lilli Hornig, a scientist who signed Szilard’s petition against the use of the atomic bomb? Share your search terms and a link to the primary source