Learn to build secure applications from the mindset of the hacker and avoid being exploited.
385
Solutions
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MATLAB is a numerical computing environment and proprietary fourth-generation programming language. MATLAB allows matrix manipulations, plotting of functions and data, implementation of algorithms, creation of user interfaces, and interfacing with programs written in other languages, including C, C++, Java, Fortran and Python. Although MATLAB is intended primarily for numerical computing, an optional toolbox uses the MuPAD symbolic engine, allowing access to symbolic computing capabilities. An additional package, Simulink, adds graphical multi-domain simulation and model-based design for dynamic and embedded systems.
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%Dua's function practice
function xdot = dua_glucose(t,x,u)
%t is time, x is the arrays, u is the insulin infusion rate
% (1) Input
% Exogenous Insulin infusion rate (mU/min)
% % u = 3;
% (2) States
% Plasma Glucose Conc. (mg/dL)
G = x(1,1);
% Plasma Insulin Conc. (mU/L)
I = x(2,1);
% Plasma Insulin Conc. (1/min) in remote compartment
X = x(3,1);
%x is a matrix or (combination of arrays G,X,I). Consisting of a 3(variables) by n
%matrix which n is the time step size.
% (3) Parameters From the original ex
%Assuming these conditions until literature
%is investigated further, For future will need
%Normal person values, and differing diabetic?
% Basal values of glucose and insulin conc. *Normal values
G_basal = 4.5; % mmol/L
%%X_basal = 15; % mU/L *Note there is not xb
I_basal = 15; % mU/L
% For a type-I diabetic These are parameters
P1 = 0.028735; % min-1
P2 = 0.028344; % min-1
P3 = 5.035e-5; % mU/L
%insulin distribution volume
V1 = 12; % L
%the fractional disappearance rate of insulin
n = 5/54; % 1/min
%rate of exogenously infused glucose
Fg = 0.5/t; %mg/min (divide by t?)
%glucose distribution space
Vg = 5; %dL
% (4)
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Learn to build secure applications from the mindset of the hacker and avoid being exploited.
[maxpeaks, idx] = findpeaks(10*log10(psdx),'MinPeakDistance',195,'NPeaks',4,'MinPeakHeight', -Inf, 'SortStr','descend')
Learn to build web apps and services, IoT apps, and mobile backends by covering the fundamentals of ASP.NET Core and exploring the core foundations for app libraries.
earFilename = 'EAR_v1.txt';
stateFilename = 'output_close_tags_video_1.txt';
% read EAR values
earfile = fopen(earFilename,'r');
formatSpec = '%d %f %f';
sizeA = [3 Inf];
earVector = fscanf(earfile, formatSpec, sizeA);
earVector = earVector';
% read state file
statefile = fopen(stateFilename,'r');
formatSpec = '%d %*s';
sizeA = [1 Inf];
stateVector = fscanf(statefile, formatSpec,sizeA);
stateVector = stateVector';
% create a dataset containing framenumber, EAR, state
dataset = [earVector, -1*ones(size(earVector,1),1)];
% for each positive state, +-6 frame are marked as positive
data=[];
for i = stateVector'
rowNumber = find(dataset==i);
for j = -6:6
data=(rowNumber+j);
disp(data)
385
Solutions
457
Contributors
MATLAB is a numerical computing environment and proprietary fourth-generation programming language. MATLAB allows matrix manipulations, plotting of functions and data, implementation of algorithms, creation of user interfaces, and interfacing with programs written in other languages, including C, C++, Java, Fortran and Python. Although MATLAB is intended primarily for numerical computing, an optional toolbox uses the MuPAD symbolic engine, allowing access to symbolic computing capabilities. An additional package, Simulink, adds graphical multi-domain simulation and model-based design for dynamic and embedded systems.
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