Engineering

Need help with an APA 5 page paper research paper about “Hazard communication”. A bibliography page must be in this paper that need to consist of sources relevant to the topic.You can also put small pictures in the paper.Title page, abstract and reference page do not count as a page numberWHEN WRITING THE PAPER MOSTLY FOCUS ON THESE ITEMSBibliography page, Paper Introduction, Paper Development, Paper Organization, Paper Conclusion

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

INDUSTRIAL AND MANUFACTURING SYSTEMS ENGINEERING4 questions in this assessment?test students’ working of the concepts in quality management, philosophies, and quality management method

Chemical Engineering DepartmentAssignment 3 (15%)Semester Online Spring Year 2021Course Title Chemical Engineering Sophomore SeminarCourse Code CHE 200 Section O1Student Name Student IDDue Date Refer to Moodle Instructor Mr. Jenson Jen JacobGuidelines for Solution Please read and apply the following points carefully:1. Your submitted solution can be either typed or handwritten.2. Write your name and ID# clearly on the submitted file.3. Provide detailed answers including steps, equations, and units according to question type.4. For handwritten submissions:a) Use blue penb) Write your name and ID clearly on the first page.c) Make sure that your answers are very clear and organized.d) Redraw required tables and graphs whenever applies.e) If your answers are related to a figure, mention it clearly.5. Scan the assignment (hard copy) and save it as one pdf file.6. Submit the pdf (only one file) file through the assignment submission link on your Moodle sectionpage.7. You can submit your assignment no more than twice. So, make it count.8. Students are fully responsible for submitting a correct file. Make sure it is the correct file, it is not corrupted, and it is readable. Unclear or absent answers would be deducted.9. Inaccurate or corrupted files would result in a deduction as per grading policy.10. Late submission will be allowed with penalty:a) Delay by 1 calendar Day – 40% Deduction (grade is multiplied by 0.6)b) Delay by 2 calendar Days – 60% Deduction (grade is multiplied by 0.4)c) Delay by 3 calendar Days or more – zero grade. No submission is accepted.Question 1: [60 pts]In a petrochemical plant, a tank receives a liquid chemical from an incoming stream. In order to control the levelof liquid inside the tank, the pressure is monitored in the bottom while it is being filled. The tank is equippedwith a pressure relief valve on top that ensures the pressure inside the tank is the same as atmospheric pressure.The liquid has a density of 840 kg/m3 and the tank is 120 ft high.1. What is the pressure on top of the liquid being filled in the tank? [10 pts]2. If the gauge in the bottom of the tank is showing 35 psi, what should be the level of liquid in the tank (in ft.)?[25 pts]3. What value of gauge pressure (in psi) will you read in the bottom of the tank when it is full? [25 pts]Question 2: [40 pts]A steam turbine is used to generate power in an industrial process. Steam (water vapor) enters the turbine at atemperature of 650?. The absolute pressure of steam should not exceed 5 bar.An engineer was measuring the pressure and he found that gauge pressure was equal to 70 psi.1. Calculate the absolute pressure of steam that is entering the turbine. [20 pts]2. According to the calculated value in part a, is this pressure acceptable by the industry?

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.

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.

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..

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.