How well did your predictions match the drought monitor map? Describe areas where your predictions were correct and areas where they did not match. 10. Of the two main types of data you examined—precipitation and the streamflow—which of the two seems to be a better predictor of drought conditions identified by the Drought Monitor layer?
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10. Of the two main types of data you examined—precipitation and the streamflow—which of the two seems to be a better predictor of drought conditions identified by the Drought Monitor layer?
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- We have to build a web portal for an indoor air quality system. The portal needs to display the air pollutant readings sent by the air quality sensing device. The web portal has a subscription based model where every user is allowed to see the air quality parameters readings sensed by his/her device on the web portal after subscribing to the system. However, the company owning the system can view all users’ devices data on the web portal for further advance analytics. The users are provided with interactive info graphics to see the real time status of their surrounding indoor ambience, and the interfaces are kept as simple as possible to increase the system usability. Considering the above system, which design pattern or patterns are most suitable, describe in detail. You can use class diagrams to enhance your explanation.Please explain in detail the 3X3 forecasting model, 2X2 forecasting model, and Receiver Operator Characteristic (ROC) curve. Please provide references.In no more than 5 lines, define the water fall model.
- Is it feasible to display each sort of anomaly?Tarassud Plus is an App deployed in the Middle East for the implementation of COVID-19 Surveillance System. COVID- 19 Patients search for the nearby hospitals with the help of this system. Public can get general COVID-19 information and statistical information related to the spread of COVID-19 by using this system. COVID-19 Patients could also have directed with the help of this system by reporting their symptoms. Once the patients are diagnosed, this system tracks their location with the help of the tracking bracelet. In addition to this it also tracks the locations of the people, who are in Quarantine and send alert to concerned ministry official if there are any violations in their locations. Another feature of this system enables the Medical officials to track the cases and their details. Assume that you are assigned as one of the group member to develop the above system application. Draw Context Diagram and Level 0 Logical Data Flow Diagram for the system development.Tarassud Plus is an App deployed in the Middle East for the implementation of COVID-19 Surveillance System. COVID-19 Patients search for the nearby hospitals with the help of this system. Public can get general COVID-19 information and statistical information related to the spread of COVID-19 by using this system. COVID-19 Patients could also have directed with the help of this system by reporting their symptoms. Once the patients are diagnosed, this system tracks their location with the help of the tracking bracelet. In addition to this it also tracks the locations of the people, who are in Quarantine and send alert to concerned ministry official if there are any violations in their locations. Another feature of this system enables the Medical officials to track the cases and their details. Assume that you are assigned as one of the group member to develop the above system application. Draw Context Diagram and Level 0 Logical Data Flow Diagram for the system development.
- Assume you are giving a dataset that is based on user surveys. You notice that many surveys have missing fields. You also notice that some surveys have fields on a scale of 1 to 5 while others are on a scale of 1 to 10. The survey has mixed information using metric measurements and the imperial system. There are some different fields depending on the country, but they all relate to the location of the participant. You also notice that some values just don't make sense. What analysis would you do on the data set to come up with a data cleaning plan? What are some normalization and cleaning tasks you could do based on the information provided in this description? Edit View Insert Format Tools Table 12pt v Paragraph BIU Αν 2 T² : PAYTO THE MARCELLA M. SERRANO PEDRO GOMEZ 3610 COUNTRY TRAILS PH. 619 S BONITA, CA 91902 91902 Ale 2512 12759 Eraser ser made in ape g GRIP 12 31 Super Polymer Lead PentelAssume you are giving a dataset that is based on user surveys. You notice that many surveys have missing fields. You also notice that some surveys have fields on a scale of 1 to 5 while others are on a scale of 1 to 10. The survey has mixed information using metric measurements and the imperial system. There are some different fields depending on the country, but they all relate to the location of the participant. You also notice that some values just don’t make sense. What analysis would you do on the data set to come up with a data cleaning plan? What are some normalization and cleaning tasks you could do based on the information provided in this description?How does an email seem in your mind? Messages sent over email always begin and end at the same point. Be sure to keep track of your findings. To begin with, why are there distinctions? Notice how the levels of detail (or lack thereof) in the models vary.
- Any values for dynamic characteristics are indicated in instrument data sheets and only apply when the instrument is used underspecified environmental conditions. True O FalseQ3 Measurements on call-failures in a Telephone Central Office (TCO) compiled over eight bimonthly data, i = 1, 2, ..., 6 indicate random values (RVS) with corresponding frequency of occurrence (n.). Relevant assessments done at two independent sites of TCO X and TCO Y and pertinent details are listed below. (The percentage values (Cx and Cy) shown are measures off- sets of call-failures with respect to a reference of zero value) Bimonthly Index TCO X Cx, % n TCO Y Determine the following: i=1 i-2 i-3 SA 81 Answer (Check!) 2.5 6.4 33 12 (7.26, 22.92): (5.68, (6.29, 38.35) 8.25) i-4-5 i-6 li=7 i=8 3.4 75 7.8 134 5.9 Cy, % 19 EIP 18 30 2.5 21 16 8 10 17 43 32 23 17 22 19 Hint: The associated RV refers to: (Percentage of call-failures (Cx or Cy) x n/100) - Actual number of call-failures iii iv (4.82-3.92, (+ 2.456, 8.19)-4.12) +1.998) 42 8.7 48 19 (v) Skewness of central tendency of the RV in terms of relevant Pearson coefficient 147 (i) Expected average and variance of the RV in each…Suppose we have to build a web portal for an indoor air quality system. The portal needs to display the air pollutant readings sent by the air quality sensing device. The web portal has a subscription based model where every user is allowed to see the air quality parameters readings sensed by his/her device on the web portal after subscribing to the system. However, the company owning the system can view all users’ devices data on the web portal for further advance analytics. The users are provided with interactive info graphics to see the real time status of their surrounding indoor ambience, and the interfaces are kept as simple as possible to increase the system usability. Considering the above system, which design pattern or patterns are most suitable?