Electronic Engineering homework help. Present Your Data and Analysis
In week 4’s submission, you are going to cover your Chapter III Methodology (6 pages).
Also, you need to demonstrate in Chapter IV Results of your data collection, analysis, statistical test, charts, and conclusion on your hypothesis. (9 pages).
Finally, you need to cover your Chapter V Discussions, Conclusions and Recommendations of your project (5 pages).
A template will be uploaded for reference, you need to follow the template how its formatted. Continue on Chapter III of the template!
Purpose Statement
The focus of this research will be the ability of the Northrop Grumman MQ-8B Fire Scout to augment humanitarian aid operations for mitigating loss of life after natural disasters. The research will analyze the mishap rates of the MQ-8B compared to the MH-60, and will look at how the Fire Scout can be used mutually for military operations, as well its capacity for provisioning humanitarian aid. As such, the analysis will evaluate which between manned aircraft and UAVs are the most effective in timely provision of humanitarian aid during natural disasters as a means of preventing loss of human lives. Given their available speed and ability to access high risk places, the MQ-8B Fire Scout can offer a solution to the existing problem (Gomez & Purdie, 2017).
Research Question and Hypothesis
This study aims to answer the following research questions (RQ):
RQ1: How viable is the deployment of the MQ-8B Fire Scout for a more expedient and cost-effective solution to delivering humanitarian aid compared to using the MH-60 Sea Hawk?
RQ2: What are the advantages and disadvantages that could be associated with the use of the MQ-8B Fire Scout for identifying victims, water drops for wildfire hotspots, and first aid drops for survivors post natural disaster?
The following hypothesis (H) has been formulated for the study:
H0: There is no statistical difference in safety when using the Northrop Grumman MQ-8B Fire Scout when compared to manned vehicles to provision humanitarian aid in areas affected by a disaster.
H1: There is a statistical difference in safety when using the Northrop Grumman MQ-8B Fire Scout when compared to manned vehicles to provision humanitarian aid in areas affected by a disaster.
Methodology from your proposal
In the proposed study, quantitative research methods will be used to analyze existing data on the usability of UAVs in disaster-stricken areas. A mathematical model will be developed to replicate mishaps which may occur during the humanitarian aid using MQ-8B fire scout and the MH-60 Sea hawk. This method will provide objective, data-based evidence regarding the prospects of employing UAVs in disaster-stricken areas. (Gomez & Purdie, 2017). A qualitative study would be insufficient to satisfy the hypothesis given its subjectivity and inability to sufficiently answer the research questions outlined above.
Developing the model
Data provided by a model created by Choudhury et al. (2017) will be used in this study. The model replicates the mishap rates to evaluate the effectiveness of the use of the MQ-8B compared to the MH-60 in disaster-stricken areas, several guidelines will be followed. The logistics network is expressed in the form of smooth continuous functions. The logistics network is represented in a two-dimensional space with demand points represented by discrete points within the service area in the two-dimensional space (Gomez & Purdie, 2017). The demand for humanitarian aid in the demand points will be modelled as Poisson processes. Using the model created by Gomez and Purdie, different scenarios will be simulated to obtain the said data.
The model will incorporate the rates of mishaps for both the MQ-8B and the MH-60 in different types of disasters and landscapes. More specifically, the two modes of delivery will be compared in terms of mishap rates in mountainous landscapes, shrub lands, coasts and wetlands. The rates are encountered in such disasters as hurricanes, tsunamis, fires and earthquakes will also be integrated in the model to ensure it depicts the real-world mishaps rates.
Such factors as speed and ability to access the disaster-stricken areas will be incorporated into the model. UAVs are faster and have the ability to be deployed in areas that may be inaccessible to disaster response utility trucks.
The model, therefore, will be used to compare the rates of mishaps in a simulated scenario. The viability of the use of UAVs in provision will be evaluated by using this method. The rates of mishaps for MQ-8B Fire Scout will be compared with those of the MH-60. A t-test will be carried out on the independent means of mishap rates for both aircraft systems. If the P-value that will be obtained during the hypothesis will be less than the chosen alpha value, the null hypothesis (H0) will be rejected. If the P-value is greater than the chosen alpha value, then the null hypothesis will be upheld.
Additional Notes:
Collecting and analyzing your data is critical to the successful completion of your capstone project.
Your approved proposal defined “how” you would collect and analyze your data, but often times, the process of collecting and analyzing data comes with challenges.
These challenges are generally not insurmountable, as long as they are identified early in the process.
Collecting and analyzing your data early in the capstone process ensures the data is available, that it is valid, and that it is reliable.
Although a formal and complete analysis is not critical at this point, you need to make sure you have the data needed to make informed analysis and decisions.
Submit the data you have identified to your instructor. If you have already performed a statistical analysis, submit your analysis as well. Your instructor will respond using the Document Viewer in the Grades area with comments and any necessary guidance.

Electronic Engineering homework help