PEMROGRAMAN DENGAN MATLAB. PEMROGRAMAN MENGENAI TRAFFIC. The ITSC monitors
ADFA network traffic to the outside world on an hourly basis.
>>
ex1(:,4)=[10 11 12]'
ex1 =
1
4 7 10
0
2
-5 8 11
-5
3
6 9 12
0
>> ex1(:,2)=2
ex1 =
1
2 7 10
0
2
2 8 11
-5
3
2 9 12
0
Addressing &
Manipulation (Cont)
>> ex2
ex2 =
1
2 3
4
5 6
7
8 9
>> ex1 =
ex2(:,3:-1:1)
ex1 =
3
2 1
6
5 4
9
8 7
>> ex3 =
ex1(3:-1:1,3:-1:1)
ex3 =
7
8 9
4
5 6
1
2 3
>> ex3 =
ex2(:,[1 2])
ex3 =
1
2
4
5
7
8
>> ex3(2,:) =
[]
ex3 =
1
2
7
8
Addressing &
Manipulation (Cont)
>> ex2
ex2 =
1
2 3
4
5 6
7
8 9
>> ex2(1)
ans =
1
>> ex2(2)
ans =
4
>> ex2(8)
ans =
6
>> ex2([1 3 5
7 9])
ans =
1
7 5 3
9
>> diary off
19.10 Example – Network Traffic
The ITSC monitors
ADFA network traffic to the outside world on an hourly basis.
For the week of
6/2/1999 till 13/2/1999 those figures have been transformed into a 7 (days)
by 24 (hours) matrix.
|
We require a program
to summarise that data in various forms showing periods of high and low
usage.
|
Kami ada di
Jakarta Selatan. KAMI MEMBERIKAN KURSUS MATLAB ONLINE - HUBUNGI MASTER ENGINEERING
EXPERT (MEE) 081219449060. Kami
membuka kursus Matlab untuk pemula dan mahasiswa atau insinyur yang ingin
memperdalam Matlab dan menerapkan dalam bidang teknikal, engineering,
rekayasa, dsb.
Dijamin Bisa, atau bisa mengulang kembali. Kami juga dapat membantumembuatkan aplikasi atau program matlab/lainnya. Anda akan dilatih oleh Tim Profesional - HUBUNGI MASTER ENGINEERING EXPERT (MEE) 081219449060. Email: kursusmatlab@gmail.com |
>> traffic
For the week in
question the following stats apply:
Average hourly load:
57280706 bytes
Maximum load in 1
hour: 209145298 bytes
Minimum load in 1
hour: 784427 bytes
Hour with highest
traffic for whole week: 1600 (1050634002 bytes)
Day with highest
traffic: 5 (1915641748 bytes)
>> diary off
19.11 Traffic Code
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% traffic.m
% A script to analyse the network
traffic
% between ADFA & the outside
world. The
% traffic is recorded as a table of
7 rows
% one for each day of the week, and
24
% columns (one for each hour).
|
% The script finds average loads,
worst
% times, etc.
|
% Author: Spike
% Date: 18/2/1999
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% Pull in the saved
data
% A 7x24 matrix
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
load dayByHour;
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% Start summarising
the data in
% various ways
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
hourlyMean =
mean(dayByHour); % Vector
of 24
% elements
dailyMean =
mean(dayByHour'); % Vector of 7
% elements
[hourWorst
whichHour] = max(hourlyMean);
% Heaviest hour
% across all week
[dayWorst whichDay]
= max(dailyMean);
% Heaviest day
highestLoad =
max(max(dayByHour));
% Single heaviest
hour
lowestLoad =
min(min(dayByHour));
% Single lightest
hour
averageLoad =
mean(mean(dayByHour)); %
hourly av.
Traffic Example
(Cont)
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% display the
results of the analysis
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
disp(' ');
disp('For the week
in question the following stats apply:');
fprintf('Average hourly
load: %8.0f bytes\n',averageLoad);
fprintf('Maximum
load in 1 hour: %8.0f bytes\n',highestLoad);
fprintf('Minimum
load in 1 hour: %8.0f bytes\n',lowestLoad);
fprintf('Hour with
highest traffic for whole week: %02.0f00 (%8.0f bytes)\n',...
|
Kami ada di
Jakarta Selatan. KAMI MEMBERIKAN KURSUS MATLAB ONLINE- HUBUNGI MASTER ENGINEERING
EXPERT (MEE) 081219449060. Kami
membuka kursus Matlab untuk pemula dan mahasiswa atau insinyur yang ingin
memperdalam Matlab dan menerapkan dalam bidang teknikal, engineering, rekayasa,
dsb.
Dijamin Bisa, atau bisa mengulang kembali. Kami juga dapat membantumembuatkan aplikasi atau program matlab/lainnya. Anda akan dilatih oleh Tim Profesional - HUBUNGI MASTER ENGINEERING EXPERT (MEE) 081219449060. Email: kursusmatlab@gmail.com |
whichHour,hourWorst*7);
fprintf('Day with
highest traffic: %1d (%9.0f bytes)\n',...
|
whichDay,dayWorst*24);
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% Generate two
separate Figures, the
% first showing
hourly rates of traffic
% the 2nd showing
daily rates.
|
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
figure(1);
bar(hourlyMean);
xlabel('Hour of the
Day');
ylabel('Bytes');
title('Average Load
on an Hourly Basis');
figure(2);
bar(dailyMean*24);
xlabel('Day of the
Week');
ylabel('Bytes');
title('Daily
Loads');
19.12 Traffic Example Plots
19.13 Special Matrices
• Matlab provides a
number of mechanisms for creating “special” matrices:
>> %% unity
>> ones(3,4)
ans =
1
1 1 1
1
1 1 1
1
1 1 1
>> %% catching
zeds
>> zeros(2)
ans =
0
0
0
0
>> %% identity
>> eye(2,4)
ans =
1
0 0 0
0
1 0 0
19.14 Special Matrices Example
>> %% random
between 0 and 1
>> rand(4,2)
ans =
0.95013 0.8913
0.23114 0.7621
0.60684 0.45647
0.48598 0.018504
>> %% random
with mean 0, std. dev 1
>> randn(2,4)
ans =
-0.43256 0.12533 -1.1465 1.1892
-1.6656 0.28768 1.1909 -0.037633
>> %%
reproduce copies of a matrix
>>
repmat(pi,3,2)
ans =
3.1416 3.1416
3.1416 3.1416
3.1416 3.1416
>> diary off
19.15 Array Sizes
• Sometimes it is
necessary to determine the size of an array at run-time
- programs more general if they
work for any size array
- may need to iterate over all
values or employ in some calculation
- Matlab arrays can grow and
shrink across runtime
>> %% A 3 by 4
matrix
>>
ex=pi+zeros(3,4)
ex =
3.1416 3.1416 3.1416 3.1416
3.1416 3.1416 3.1416 3.1416
3.1416 3.1416 3.1416 3.1416
>> shape =
size(ex)
shape =
3
4
>> [row
column] = size(ex)
row =
3
column =
4
19.16 Array Sizes Example
>> row =
size(ex,1)
row =
3
>> column =
size(ex,2)
column =
4
>>
length(ex) % Largest dimension
ans =
4
>> ex2 =
1:100;
>> size(ex2)
ans =
1
100
>> length(ex2)
ans =
100
19.17 Multi-dimensional Arrays
• There is no
logical limit of arrays to 2 dimensions
- many real-world objects have a
high dimensionality
• In Matlab 5 (and
later versions) arrays of dimension 3 and higher are also supported
- many of Matlab’s array creation
functions can create higher dimensioned data
- by appropriate indexing arrays
can be split into lower dimensioned data (e.g., vectors & matrices)
19.18 Linear Equations
• One of Matlab’s
design goals was the solution of linear equations of the form:
Consider a combat
simulation in which different mixtures of three different unit types are
considered in a fixed scenario (same enemy force).
|
Three different
simulations are run with different percentages of each of the three unit
types. Each time a score is provided for that battle (between 0 and 100 with
0 being absolute victory and 0 being absolute loss).
|
What might the
relative value of the units be?
19.19 Linear Equations Example
>> balances =
[75 20 5; 60 30 10; 65 20 15]
balances =
75
20 5
60
30 10
65
20 15
>> scores =
[40 55 70]
scores =
40
55 70
>>
det(balances)
ans =
10000
>> values =
balances \ scores
??? Error using
==> \
Matrix dimensions
must agree.
|
Kami ada di
Jakarta Selatan. KAMI MEMBERIKAN KURSUS MATLAB ONLINE - HUBUNGI MASTER ENGINEERING
EXPERT (MEE) 081219449060. Kami
membuka kursus Matlab untuk pemula dan mahasiswa atau insinyur yang ingin
memperdalam Matlab dan menerapkan dalam bidang teknikal, engineering,
rekayasa, dsb.
Dijamin Bisa, atau bisa mengulang kembali. Kami juga dapat membantumembuatkan aplikasi atau program matlab/lainnya. Anda akan dilatih oleh Tim Profesional - HUBUNGI MASTER ENGINEERING EXPERT (MEE) 081219449060. Email: kursusmatlab@gmail.com |
HASIL
PENCARIAN MATLAB
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solution FIT3D (From Images to 3D) Matlab Toolbox by Isaac Esteban;
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berikut
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UMJ,
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[watermark_matlab.rar] - 数字水印算法的matlab实现代码，已经通过matlab调试使用，运用了DCT变换
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Perkembangan
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Extension, Program Kelas Karyawan, program-kelas-karyawan-unkris.akuntan.us, .
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Kurikulum Kekhususan di S1 Perkuliahan Khusus, Pmb, . Kurikulum Kekhususan di
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Mata
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...
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MATLAB Pelatihan yang ditujukan untuk peserta yang ingin memahami
dan membuat program berbasis numerik sehingga memudahkan dalam menganalisis
kinerja dari suatu ...
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March
2014 | puzzpa
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Rumah
Gates terletak di tepi bukit di sudut Danau Washington dekat Seattle, dengan
luas 20 hektar dengan ruang makan seluas 300 m2. Gates juga mempunyai kolam
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BAB
1 PENDAHULUAN 1.1 LATAR BELAKANG Dewasa ini teknologi informasi berkembang
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...
326.
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Contact
us. Jl. Kalibeber Km.03 Wonosobo FASTIKOM UNSIQ Jawa Tengah di Wonosobo Tel -
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...
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VI
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mahasiswa-mahasiswa Teknik Informatika serta adanya praktikum tentang
pengenalan
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DIBERITAHUKAN
Kepada Mahasiswa/I STMIK BUDIDARMA Program Studi S1 – Teknik Informatika
Khususnya Konsentrasi Sistem Informasi yang akan mengambil SKRIPSI, bahwa ...
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Malemmmm
Sobat.. :) Lagi apa nih malem ini? Saya lagi coba belajar MATLAB, demi
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aplikasi pengolahan signal menggunakan MATLAB, Efek yg akan dievakuasi
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pulau
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penginapan pulau tidung, pulau tidung murah
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semester 3 jurusan Teknik Informatika dapat: ... 15 Minggu XV Uji
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IRAWAN,
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