EGH404 Research In Engineering Practice

EGH404 Research In Engineering Practice

Free Samples

EGH404 Research In Engineering Practice

.cms-body-content table{width:100%!important;} #subhidecontent{ position: relative;
overflow-x: auto;
width: 100%;}

EGH404 Research In Engineering Practice

1 Download8 Pages / 1,918 Words

Course Code: EGH404
University: Queensland University Of Technology

MyAssignmentHelp.com is not sponsored or endorsed by this college or university

Country: Australia

Questions:
1. On the basis of the measurements recorded in Bolts.csv, which supplier (if any) would you recommend, and why?2. Provide any code or visualisations you use to justify your response.

Answer:
Recommending a bolt supplier
Your firm works in construction and buys ASTM A325M8S bolts in very large numbers.
You are interested in purchasing bolts from different suppliers and have obtained and tested samples of 200 bolts from three suppliers: Allnutt, Boltzman, Coachers.
You have tested these in your new bolt testing machine, purchased after you had discovered your old bolt testing machine was performing erratically. (For the purposes of this question, you are safe to assume that the new machine works perfectly and that its results are in MPa.)
Your firm wants to ensure that the tensile strengths of the bolts it buys are

as high as possible
as consistent as possible (i.e., the variability of bolt strengths is as lowas possible)

It is critical that the tensile strength of these bolts exceeds 830MPa.
You should draw on the unit contentconcerning summary statistics to answer this question.
On the basis of the measurements recorded in Bolts.csv, which supplier (if any) would you recommend, and why?(Provide any code or visualisations you use to justify your response.)
Edit your response to this question here.
filename = ‘Bolts.xls’;
[numbers, TEXT, file] = xlsread(filename);
T = cell2mat(st1)
t1=T(1:100)
t2=T(101:200)
t3=T(201:400)
for count1
limit=850;
for i=1:200
    if (t1(i,1))>=limit
    {
     count1=count1+1    
     else
     {
         count1+1
      }
end
     }
    end
for count2
for( i=1:200)
    if (t2(i,1))>=limit
{
     count2=count2+1   
}
     else
{
         count2=count2
}
     end
end
for count3
for( i=1:200)
    if (t3(i,1))>=limit
{
     count3=count3+1
}    
     else
{
         count3=count3
}
     end
        printf(‘Tensile strength  count >830 from Allnuttn’,count1);
        printf(‘Tensile strength  count >830 from Boltzmannn’,count2);
        printf(‘Tensile strength  count > 830 from Coachersn’,count3);
histfit(t1)
true
histfit(t2)
true
histfit(t3)
false
Tensile strengths  count more than 830 from Allnutt= 40.
Tensile strengths  count more than 830 from Boltzmann= 100.
Tensile strengths  count more than 830 from Coachers= 160(approx).
 
ILLUSTRATION 1
From statistical analysis it has been found that tensile strength of the Bolt supplied by Coacher is having the highest count compared to other two suppliers. And from the bar plot, we can conclude that consistency of bolt strength or the variability of strength from coacher is lower compared to other two sellers
Changes in Air Quality Over Time
The state government’s Department of the Environment and Heritage Protection are concerned about air pollution levels in Brisbane city. You have been provided with data for two sites, the Brisbane CBD and South Brisbane, for 2010 and 2016 in the following four files:

brisbanecbd-aq-2010.csv
brisbanecbd-aq-2016.csv
southbrisbane-aq-2010.csv
southbrisbane-aq-2016csv

You have been asked to advise the Government:

If air pollution is related across the two sites, and if so, has this relationship changed between 2010 and 2016

Has the level of air pollution at either site changed from 2010 to 2016? Have these changes across the two sites been consistent?
You have been advised to focus on the PM10 data series.
You should draw on the unit contentconcerning summary statistics and correlation to answer this question.
(Provide any code or visualization’s you use to justify your response.)
Edit your response to this question here
filename = ‘brisbanecbd-aq-2010.xls’;
sheet = 1;
[numbers, TEXT, file] = xlsread(filename);
br1=file(:,7);
S1 = cell2mat(br1);
filename = ‘brisbanecbd-aq-2016.xls’;
sheet = 1;
[numbers, TEXT, file] = xlsread(filename);
br2=file(:,7);
S2 = cell2mat(br2);
filename = ‘southbrisbane-aq-2010.xls’;
sheet = 1;
[numbers, TEXT, file] = xlsread(filename);
br3=file(:,7);
S3 = cell2mat(br3);
filename = ‘southbrisbane-aq-2016.xls’;
sheet = 1;
[numbers, TEXT, file] = xlsread(filename);
br4=file(:,7);
S4 = cell2mat(br4); //concatenating the cells in the matrix
size(S1);
size(S2);
size(S3);
size(S4);
z=1:1:8760;
S1=S1(1:8760);
S2=S2(1:8760);
S3=S3(1:8760);
S4=S4(1:8760);
[S1(1:8760) S2(1:8760) S3(1:8760) S4(1:8760)];
hist(S1)//histogram(S1)
hold on
hist(S2)//histogram(S2)
Ethanol engine emission testing
Your engine testing company has been evaluating the relationship between engine capacity (in cubic cm) and particulate emissions (in particles per milliliter) across a range of engines. Now you have received results from tests of 100 ethanol-fuelled engines and your supervisor has sent you the following email about that:
Take a look at the emissions data for the 100 ethanol engines in thefile “Engines.csv” and write an email to your supervisor explaining your findings.You should draw on the unit content concerning correlation and regression to answer this question.(Provide any code or visualisations you use to justify your response.)
Edit your response to this question here
filename = ‘Engine.xls’;
sheet = 1;
[numbers, TEXT, file] = xlsread(filename);
eng1=file(:,2);
eng2=file(:,3);
S1 = cell2mat(eng1);   //concatenating cells with the matrix
S2 = cell2mat(eng2);
[S1 S2] //scattering of the cells after the desired concatenation
scatter(S1,S2)
R = corcoeff(S1,S2) //calculating the corelation coefficient
corr(S1,S2)
fitlm(S1,S2) //adjusting the size to fit
Estimated Coefficients:
                   Estimate        SE        tStatpValue
                   _________    _________    ______    __________
    (Intercept)       90.767        4.237    21.423    9.3819e-39
    x1             -0.014376    0.0014379    -9.998    1.2227e-16
Number of observations: 100, Error degrees of freedom: 98
Root Mean Squared Error: 3.61
R-squared: 0.505,  Adjusted R-Squared 0.5
F-statistic vs. constant model: 100, p-value = 1.22e-16
Estimating Concrete Strength
You work for a construction firm who need to be able to accurately predict the compressive strength of concrete given variables including the concrete composition and its age. You are aware that the relationship between these different components and the concrete strength is complex, however you have been asked to investigate how well a simple linear regression model works for prediction. Using the provided data (Concrete_Data.xls), develop models to predict:

Concrete strength from the single best indicator variable;
Concrete strength from all variables.

With the second model, determine if any variables are not contributing significantly to the model, and what impact removing these has on prediction performance. Comment on the final model and its accuracy.
You should draw on the unit contentconcerning correlation and regression to answer this question.
(Provide any code or visualisations you use to justify your response.)
Edit your response to this question here
compressive strength, concrete composition and its age
filename = ‘Concrete_Data.xls’;
sheet = 1;
[numbers, TEXT, file] = xlsread(filename);
no1=file(1);
no2=file(2);
no3=file(3);
no4=file(4);
no5=file(5);
no6=file(6);
no7=file(7);
no8=file(8);
no9=file(9);
Timestamp1 = cell2mat(no1);
Timestamp2 = cell2mat(no2);
Timestamp3 = cell2mat(no3);
Timestamp4 = cell2mat(no4);
Timestamp5 = cell2mat(no5);
Timestamp6 = cell2mat(no6);
Timestamp7 = cell2mat(no7);
Timestamp8 = cell2mat(no8);
Timestamp9 = cell2mat(no9);
plot(T1,T9,’*’)
lsline
X=[ones(size(T9)) T9]; //adjusting the size from T1 To T9 beta=regress(T1,X)
% scatter(T1,yCalc1) //calculating the %age of scattering
solution:  
y = 0.086x + 13.445R² = 0.2508
CORRL: 0.497832952
From statistical analysis it has been found that Cement (component 1)(kg in a m^3 mixture) having the highest impact on Concrete compressive strength(MPa, megapascals). It is holding positive linear correlation and the correlation coefficient is found to be 0.497832722. Blast Furnace Slag (component 2)(kg in a m^3 mixture) and Fly Ash (component 3)(kg in a m^3 mixture) has low effect on Concrete compressive strength(MPa, megapascals). Superplasticizer (component 5)(kg in a m^3 mixture has positive impact on  Concrete compressive strength(MPa, megapascals)
Predicting Missing Bikeway Data
Brisbane City Council (BCC) is considering upgrades to the bikeway networks. They are using data they have gathered from sensors placed along the bike paths, which record the number of cyclists, to plan the upgrades, however there have been a number of sensor failures which have resulted in their dataset missing a number of entries. BCC have requested that you investigate if it possible to predict missing data from data gathered from other sensors on the bike path network.
You have been provided with three years worth of data (Bike-Ped-Auto-Counts-2014.csv, Bike-Ped-Auto-Counts-2015.csv, and Bike-Ped-Auto-Counts-2016.csv). As an initial investigation, you have been asked to consider only these data series:

BicentennialBikewayCyclistsInbound
GoBetweenBridgeCyclistsInbound
KangarooPointBikewayCyclistsInbound
NormanParkCyclistsInbound
RiverwalkCyclistsInbound
StoryBridgeWestCyclistsInbound

Using the three years data, you are to:

Determine which counters are best suited to predicting the missing data in others (i.e. which, if any counters, could be used to predict BicentennialBikewayCyclistsInbound).
Predict missing data where appropriate to generate a more “complete” database.
Comment on the resulting corrected dataset. In particular:

What problems, if any, may arise from this approach?
How effective has this been in reducing missing data?
How trustworthy are the predicted values?

You should draw on the unit contentconcerning correlation and regression to answer this question.
(Provide any code or visualisations you use to justify your response.)
Edit your response to this question here
filename =’bike_ques.xls’;
sheet = 1;
[numbers, TEXT, file] = xlsread(filename);
no1=file(1);
no2=file(2);
no3=file(3);
no4=file(4);
no5=file(5);
no6=file(6);
no7=file(7);
no8=file(8);
no9=file(9);
Timestamp1 = cell2mat(no1);
Timestamp2 = cell2mat(no2);
Timestamp3 = cell2mat(no3);
Timestamp4 = cell2mat(no4);
Timestamp5 = cell2mat(no5);
Timestamp6 = cell2mat(no6);
Timestamp7 = cell2mat(no7);
Timestamp8 = cell2mat(no8);
Timestamp9 = cell2mat(no9);
 
plot(T1,T9,’*’)
lsline
X=[ones(size(T9)) T9]; //adjusting the size from T1 To T9
beta=regress(T1,X)
% scatter(T1,yCalc1) //calculating the %age of scateering
ARTIFICIAL NEURAL NETWORK TECHNIQUE
file1 = ‘Bike-Ped-Auto-Counts-2014.xls’;
file2= ‘Bike-Ped-Auto-Counts-2015.xls’;
file3 = ‘Bike-Ped-Auto-Counts-2016.xls’;
file4= ‘Bikeway-counts—Counter-locations.xls’;
file5= ‘bike_ques5.xls’;
a=[3333]
4515
4249
2818
3384
4908
4211
.
.
.
3436
4190
3622
3269
2851
  % sTimestamp1=file(1);
 % sTimestamp2=file(2);
 % sTimestamp3=file(3);
 % sTimestamp4=file(4);
% sTimestamp5=file(5);
% sTimestamp6=file(6);
% sTimestamp7=file(7);
% sTimestamp8=file(8);
% sTimestamp9=file(9);
% Timestamp1 = cell2mat(sTimestamp1);
% Timestamp2 = cell2mat(sTimestamp2);
% Timestamp3 = cell2mat(sTimestamp3);
% Timestamp4 = cell2mat(sTimestamp4);
% Timestamp5 = cell2mat(sTimestamp5);
% Timestamp6 = cell2mat(sTimestamp6);
% Timestamp7 = cell2mat(sTimestamp7);
% Timestamp8 = cell2mat(sTimestamp8);
% Timestamp9 = cell2mat(sTimestamp9);
%
% plot(Timestamp9,Timestamp1,’*’)
% X=[ones(size(Timestamp9)) Timestamp9];
% beta=regress(Timestamp1,X)    //regression of Timestamp1 with respect to timestamp
% % scatter(Timestamp1,yCalc1) //Scaterring of the obtained image after calculations
CONCLUSIONS DRAWN
(I)Hence,from this approach of artificial neural network, visual problems may arise which hampers the data sets defined in a boundary.Moreover, challenges persistent to weather conditions may also prevail
(2)The approach has widely been used to prevent missing data as these are customed to sensors which has records of both coming and going transports.
(3)The predicted values are true to my knowledge as these are tested in prevailing conditions and has shown definite results during sensor failures.

Free Membership to World’s Largest Sample Bank

To View this & another 50000+ free samples. Please put
your valid email id.

E-mail

Yes, alert me for offers and important updates

Submit 

Download Sample Now

Earn back the money you have spent on the downloaded sample by uploading a unique assignment/study material/research material you have. After we assess the authenticity of the uploaded content, you will get 100% money back in your wallet within 7 days.

UploadUnique Document

DocumentUnder Evaluation

Get Moneyinto Your Wallet

Total 8 pages

PAY 5 USD TO DOWNLOAD

*The content must not be available online or in our existing Database to qualify as
unique.

Cite This Work
To export a reference to this article please select a referencing stye below:

APA
MLA
Harvard
OSCOLA
Vancouver

My Assignment Help. (2021). Research In Engineering Practice. Retrieved from https://myassignmenthelp.com/free-samples/egh404-research-in-engineering-practice/weather-conditions.html.

“Research In Engineering Practice.” My Assignment Help, 2021, https://myassignmenthelp.com/free-samples/egh404-research-in-engineering-practice/weather-conditions.html.

My Assignment Help (2021) Research In Engineering Practice [Online]. Available from: https://myassignmenthelp.com/free-samples/egh404-research-in-engineering-practice/weather-conditions.html[Accessed 18 December 2021].

My Assignment Help. ‘Research In Engineering Practice’ (My Assignment Help, 2021) accessed 18 December 2021.

My Assignment Help. Research In Engineering Practice [Internet]. My Assignment Help. 2021 [cited 18 December 2021]. Available from: https://myassignmenthelp.com/free-samples/egh404-research-in-engineering-practice/weather-conditions.html.

×
.close{position: absolute;right: 5px;z-index: 999;opacity: 1;color: #ff8b00;}

×

Thank you for your interest
The respective sample has been mail to your register email id

×

CONGRATS!
$20 Credited
successfully in your wallet.
* $5 to be used on order value more than $50. Valid for
only 1
month.

Account created successfully!
We have sent login details on your registered email.

User:

Password:

Over the years, MyAssignmenthelp.com has bagged the number one spot for providing the best accounting assignment help service. The students have relied on our writers as we offer legitimate assignment help service. We provide on-time delivery and unlimited revisions, if you are dissatisfied with the quality of the write-up. To prove transparency in the process, we accept payments through secure gateways like PayPal and net banking.

Latest Management Samples

div#loaddata .card img {max-width: 100%;
}

MPM755 Building Success In Commerce
Download :
0 | Pages :
9

Course Code: MPM755
University: Deakin University

MyAssignmentHelp.com is not sponsored or endorsed by this college or university

Country: Australia

Answers:
Introduction
The process of developing a successful business entity requires a multidimensional analysis of several factors that relate to the internal and external environment in commerce. The areas covered in this current unit are essential in transforming the business perspective regarding the key commerce factors such as ethics, technology, culture, entrepreneurship, leadership, culture, and globalization (Nzelibe, 1996; Barza, 2…
Read
More

SNM660 Evidence Based Practice
Download :
0 | Pages :
8

Course Code: SNM660
University: The University Of Sheffield

MyAssignmentHelp.com is not sponsored or endorsed by this college or university

Country: United Kingdom

Answers:
Critical reflection on the objective, design, methodology and outcome of the research undertaken Assessment-I
Smoking and tobacco addiction is one of the few among the most basic general restorative issues, particularly to developed nations such as the UK. It has been represented that among all risk segments smoking is the fourth driving purpose behind infections and other several ailments like asthma, breathing and problems in the l…
Read
More
Tags:
Australia Maidstone Management Business management with marketing University of New South Wales Masters in Business Administration 

BSBHRM513 Manage Workforce Planning
Download :
0 | Pages :
20

Course Code: BSBHRM513
University: Tafe NSW

MyAssignmentHelp.com is not sponsored or endorsed by this college or university

Country: Australia

Answer:
Task 1
1.0 Data on staff turnover and demographics
That includes the staffing information of JKL industries for the fiscal year of 2014-15, it can be said that the company is having problems related to employee turnover. For the role of Senior Manager in Sydney, the organization needs 4 managers; however, one manager is exiting. It will make one empty position which might hurt the decision making process. On the other hand, In Brisba…
Read
More

MKT2031 Issues In Small Business And Entrepreneurship
Download :
0 | Pages :
5

Course Code: MKT2031
University: University Of Northampton

MyAssignmentHelp.com is not sponsored or endorsed by this college or university

Country: United Kingdom

Answer:
Entrepreneurial ventures
Entrepreneurship is the capacity and willingness to develop, manage, and put in order operations of any business venture with an intention to make profits despite the risks that may be involved in such venture. Small and large businesses have a vital role to play in the overall performance of the economy. It is, therefore, necessary to consider the difference between entrepreneurial ventures, individual, and c…
Read
More
Tags:
Turkey Istanbul Management University of Employee Masters in Business Administration 

MN506 System Management
Download :
0 | Pages :
7

Course Code: MN506
University: Melbourne Institute Of Technology

MyAssignmentHelp.com is not sponsored or endorsed by this college or university

Country: Australia

Answer:
Introduction
An operating system (OS) is defined as a system software that is installed in the systems for the management of the hardware along with the other software resources. Every computer system and mobile device requires an operating system for functioning and execution of operations. There is a great use of mobile devices such as tablets and Smartphones that has increased. One of the widely used and implemented operating syste…
Read
More
Tags:
Australia Cheltenham Computer Science Litigation and Dispute Management University of New South Wales Information Technology 

Next

Our Essay Writing Service Features

Qualified Writers
Looming deadline? Get your paper done in 6 hours or less. Message via chat and we'll get onto it.
Anonymity
We care about the privacy of our clients and will never share your personal information with any third parties or persons.
Free Turnitin Report
A plagiarism report from Turnitin can be attached to your order to ensure your paper's originality.
Safe Payments
The further the deadline or the more pages you order, the lower the price! Affordability is in our DNA.
No Hidden Charges
We offer the lowest prices per page in the industry, with an average of $7 per page
24/7/365 Support
You can contact us any time of day and night with any questions; we'll always be happy to help you out.
$15.99 Plagiarism report
$15.99 Plagiarism report
$15.99 Plagiarism report
$15.99 Plagiarism report
$3.99 Outline
$21.99 Unlimited Revisions
Get all these features for $65.77 FREE
Do My Paper

Frequently Asked Questions About Our Essay Writing Service

Academic Paper Writing Service

Our essay writers will gladly help you with:

Essay
Business Plan
Presentation or Speech
Admission Essay
Case Study
Reflective Writing
Annotated Bibliography
Creative Writing
Report
Term Paper
Article Review
Critical Thinking / Review
Research Paper
Thesis / Dissertation
Book / Movie Review
Book Reviews
Literature Review
Research Proposal
Editing and proofreading
Other
Find Your Writer

Latest Feedback From Our Customers

Customer ID:  # 678224
Research Paper
Highly knowledgeable expert, reasonable price. Great at explaining hard concerts!
Writer: Raymond B.
08/10/2021
Customer ID: # 619634
Essay (any type)
Helped me with bear and bull markets right before my exam! Fast teacher. Would work with Grace again.
Writer: Lilian G.
08/10/2021
Customer ID: # 519731
Research Paper
If you are scanning reviews trying to find a great tutoring service, then scan no more. This service elite!
Writer: Grace P.
08/10/2021
Customer ID: #499222
Essay (any type)
This writer is great, finished very fast and the essay was perfect. Writer goes out of her way to meet your assignment needs!
Writer: Amanda B.
08/10/2021
Place an Order

Calculate the price of your order

You will get a personal manager and a discount.
We'll send you the first draft for approval by at
Total price:
$0.00
×

Powered by essayworldwide.com

× WhatsApp Us