Engineering

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.

Your presentation will consist of the following elements: an overall explanation of the technology, the technology’s history, how the technology is currently used in the world (this can be more than one slide), its advantages and disadvantages, what country this technology is most prevalently used in and why, organizations that currently build this technology, and your opinion whether this technology is or is not a good asset to the world we now live. IN the note section of each slide, you will have to provide your talking points or a summary of the slide. This summary should consist of at least 100 words. Please do not copy word for word what was said on the website where you found your information (you can paraphrase). You should have a minimum of five reference websites on your final slide.

An unexpected result of the Covid-19 pandemic is that there has been a dramatic increase in bicycle sales as people look for safe, outdoor activities. As a result, there is currently a global shortage of bicycles.A company is going to build a new facility to manufacture bicycles. Your project team has been hired to perform a detailed analysis and design for a new bicycle manufacturing facility to take advantage of an increased demand from casual, recreational riders.Due to limited access to the company personnel, your project team will need to research bicycle design and processing methods and make the best assumptions possible where data is not available, and within the available time for this assignment. The Team Project Template will provide an outline of the general requirement and flow for the project. This can be a very interesting project and will prepare you for completing an actual facility design if required in your professional career. The following is key information for this project: The product is beach cruiser style bicycles; 1 men’s style bicycle in 3 colors and 1 women’s style bicycle in the same 3 colors. Beach cruisers are single speed, basic bicycles. Your bikes will only be made in one wheel-size of 26” to simplify production; The company will construct and paint the bicycle frame from raw tubing; all other parts will be purchased components; The company currently projects sale demand at 10,000 the first year of operation and 12,000 for subsequent years; Provide space and facilities for support personnel (you need to determine what job functions will be required to your best ability);The team must estimate realistic reject and rework rates; Creating a box diagram on Autocad

Consider a technology invented outside of the U.S. in electrical engineering (750 words minimum) (a) Describe the cultural and social factors that led to this technology’s “invention.” You need to describe two factors specifically (cultural, social, economic, etc). (b) Describe how this invention has evolved and influenced the culture of the U.S. Note that you should NOT write about World Wide Web

Your task this week is to write a research paper discussing the concept of risk modelling. Please also evaluate the importance of risk models. Lastly, construct an approach to modelling various risks and evaluate how an organization may make decisions about techniques to model, measure, and aggregate risks. Be approximately four to six pages in length, not including the required cover page and reference page. Follow APA7 guidelines. Your paper should include an introduction, a body with fully developed content, and a conclusion. Support your answers with the readings from the course and at least two scholarly journal articles to support your positions, claims, and observations, in addition to your textbook

Need to do a single-page paper for  Critical Infrastructure Vulnerability Assessment (CISA)  which is described below to identify known risks, threats, and vulnerabilities and organize them. What is an analyzing threat? What are the Unintentional threats? The purpose of the seven domains of. a typical IT infrastructure is to help organize the roles, responsibilities, and accountabilities for risk. management and risk mitigation. This lab requires to identify risks, threats, and vulnerabilities. Include the references at the end of your paper (using APA format). Include Citations for each reference (using APA format) in the text wherever they apply NO need of a coversheet

Submit a minimum of a 200-word answer for each of the following questions: Explain what is a core competency and provide examples. What is (or will be) your venture’s core competency and it is vital to your Value Proposition? For more information check: https://en.wikipedia.org/wiki/Core_competency

Consider an abrupt Si pn + junction that has 1015 acceptors cm-3 on the p-side and 1019 donors on the inside. The minority carrier recombination times are ?e = 490 ns for electrons in the p-side and ?h = 2.5 ns for holes in the n -side. The cross-sectional area is 1 mm2. Assuming a long diode, calculate the current, I, through the diode at room temperature when the voltage, V, across it is 0.6 V. What are V/I and the incremental resistance (rd) of the diode and why are they different?

Consider an abrupt Si pn + junction that has 1015 acceptors cm-3 on the p-side and 1019 donors on the inside. The minority carrier recombination times are ?e = 490 ns for electrons in the p-side and ?h = 2.5 ns for holes in the n -side. The cross-sectional area is 1 mm2. Assuming a long diode, calculate the current, I, through the diode at room temperature when the voltage, V, across it is 0.6 V. What are V/I and the incremental resistance (rd) of the diode and why are they different?