Month: September 2024
How Can I Downgrade iOS 18 to 17 from iPhone on a Windows 10 PC?
Hi all,
I have an iPhone 15 Pro Max and recently upgraded to iOS 18. My initial purpose is to test out the new features from iOS 18 but ended up with nothing. My iPhone is running a bit slow after upgrading to iOS 18.0. I heard it is possible to downgrade the iOS on a Windows PC.
Please let me know how to downgrade iOS 18 to 17 on a Windows 10 computer if you know to do this. Much appreciated for your help!
Hi all, I have an iPhone 15 Pro Max and recently upgraded to iOS 18. My initial purpose is to test out the new features from iOS 18 but ended up with nothing. My iPhone is running a bit slow after upgrading to iOS 18.0. I heard it is possible to downgrade the iOS on a Windows PC. Please let me know how to downgrade iOS 18 to 17 on a Windows 10 computer if you know to do this. Much appreciated for your help! Read More
Microsoft Word 2016 – Nested Field Code problem
Hi,
I have problem with Field Codes in Word Office 2016. The field code shows that for page number 10 value should be “test” but when I update field code I see value “REVISED PAGES” on page no 10. What is wrong ? How it is possible ?
Regards
Tom
Hi,I have problem with Field Codes in Word Office 2016. The field code shows that for page number 10 value should be “test” but when I update field code I see value “REVISED PAGES” on page no 10. What is wrong ? How it is possible ? RegardsTom Read More
Microsoft 365 Developer Program – Subscription Issue
I deleted my profile more than 60 days ago. Today, when I tried to create a new developer subscription, it turned out that the old one is still in the system even though it should have been deleted.I want to remove the old one and create a new one. Read More
MOVING/COPYING MY OUTLOOK INBOX TO A CO-WORKER
I am retiring at the end of the month and I would like to move my inbox to a co worker, but I need it to appear as ‘Gordon’s Inbox’ and separate inbox to her own. Is this possible and if so how would I go about it.
Your help would be very much appreciated.
Gordon
I am retiring at the end of the month and I would like to move my inbox to a co worker, but I need it to appear as ‘Gordon’s Inbox’ and separate inbox to her own. Is this possible and if so how would I go about it. Your help would be very much appreciated. Gordon Read More
Camera is not working in Windows
Try all the step
and also, Microsoft trouble shoot team connected with me
They tried several things but same issue came again and again.
my mail – email address removed for privacy reasons
Try all the stepand also, Microsoft trouble shoot team connected with meThey tried several things but same issue came again and again.my mail – email address removed for privacy reasons Read More
Accès à messagerie
Bonjour,
J’accède à ma messagerie outlook avec Windows Live Mail. Savez-vous comment je peux mettre à jour mon compte pour utiliser l’authentification moderne ?
Merci,
ppmh
Bonjour,J’accède à ma messagerie outlook avec Windows Live Mail. Savez-vous comment je peux mettre à jour mon compte pour utiliser l’authentification moderne ?Merci,ppmh Read More
Surface hub 3 MTR wallpaper with Intune
I’m attempting to manage the wallpaper for Surface Hub 3 MTR devices through Intune, but the official Microsoft documentation hasn’t been very helpful. While the XML configuration is mentioned, I keep encountering issues with it.
I’m using the following XML configuration, with the image hosted in a public Azure storage via URL. What could I be doing wrong? If anyone has insights or suggestions, I’d greatly appreciate it.
OMA-URI: ./Device/Vendor/MSFT/CustomSettings
I’m attempting to manage the wallpaper for Surface Hub 3 MTR devices through Intune, but the official Microsoft documentation hasn’t been very helpful. While the XML configuration is mentioned, I keep encountering issues with it.I’m using the following XML configuration, with the image hosted in a public Azure storage via URL. What could I be doing wrong? If anyone has insights or suggestions, I’d greatly appreciate it.OMA-URI: ./Device/Vendor/MSFT/CustomSettings <SkypeSettings> <Theming> <CustomThemeImageUrl> “https://xxxxx/Our-Priorities-3840×2560.png” </CustomThemeImageUrl> </Theming> </SkypeSettings> Read More
Cumulative Updates: September 10th, 2024
Release Date: 9/10/2024
Version: OS Builds 19044.4894 and 19045.4894
Highlights: This update addresses security issues for your Windows operating system.
This update will be downloaded and installed automatically from Windows Update and Microsoft Update.
Release Date: 9/10/2024 Version: OS Builds 19044.4894 and 19045.4894 Highlights: This update addresses security issues for your Windows operating system. This update will be downloaded and installed automatically from Windows Update and Microsoft Update. Link: https://support.microsoft.com/en-us/topic/september-10-2024-kb5043064-os-builds-19044-4894-and-19045-4894-cd14b547-a3f0-4b8f-b037-4ae3ce83a781 Read More
Issue with plotting order
Hello,
I have been trying to plot a shaded area (right y-axis) behind two lines (left y-axis), as shown in the code below. However, the shaded area always appears last, covering up the two lines. I’ve done this kind of graph before but have never had this issue. Best I can tell, it is because the right y-axis is plotted last. Is there a way to make the right y-axis plotted first? I can’t simply switch which data is on the axis, unfortunately: they need to be in this order. Thanks for any help!
clear; clc; close all;
Data = xlsread("FigureOfMeritResults.xlsx");
% Extract data
Date = Data(469:1908,1);
FoM = Data(469:1908,3);
GHI = Data(469:1908,4);
% Calculate the running average over 5 data points
FoM_avg = movmean(FoM, 5);
GHI_avg = movmean(GHI, 5);
dFoM = zeros(length(FoM),1) + mean(FoM);
ticks = {’12:00AM’,’4:00AM’,’8:00AM’,’12:00PM’,’4:00PM’,’8:00PM’,’12:00AM’};
fz = 15;
%%
fig = figure;
set(gcf,’Color’,’w’,’Units’,’inches’)
set(gcf,’Position’,[1,1,5,6])
GHI_color = [0.8 0.8 1];
yyaxis left;
p1 = scatter(Date, FoM, ‘Marker’, ‘.’, ‘SizeData’, 15, ‘MarkerFaceColor’, "#0072BD");
hold on;
p2 = scatter(Date, dFoM, ‘Marker’, ‘_’, ‘SizeData’, 15, ‘MarkerFaceColor’, ‘black’);
hold on;
ax = gca;
ax.YColor = ‘k’;
yyaxis right;
xData = [Date; flipud(Date)];
yData = [zeros(size(GHI)); flipud(GHI)];
fillHandle = fill(xData, yData, GHI_color,’EdgeColor’,’none’);
hold on;
ax = gca;
ax.YColor = ‘k’;
xlabel(‘Time of Day (hrs)’, ‘FontSize’, fz);
numTicks = length(ticks);
tickPositions = linspace(min(Date), max(Date), numTicks);
xticks(tickPositions);
xticklabels(ticks);
set(gca, ‘FontSize’, fz);
ax = gca;
box on;
set(ax,’BoxStyle’,’full’,’LineWidth’,2,’XGrid’,’off’,’XMinorTick’,’off’,’YGrid’,’off’,…
‘YMinorTick’,’on’);Hello,
I have been trying to plot a shaded area (right y-axis) behind two lines (left y-axis), as shown in the code below. However, the shaded area always appears last, covering up the two lines. I’ve done this kind of graph before but have never had this issue. Best I can tell, it is because the right y-axis is plotted last. Is there a way to make the right y-axis plotted first? I can’t simply switch which data is on the axis, unfortunately: they need to be in this order. Thanks for any help!
clear; clc; close all;
Data = xlsread("FigureOfMeritResults.xlsx");
% Extract data
Date = Data(469:1908,1);
FoM = Data(469:1908,3);
GHI = Data(469:1908,4);
% Calculate the running average over 5 data points
FoM_avg = movmean(FoM, 5);
GHI_avg = movmean(GHI, 5);
dFoM = zeros(length(FoM),1) + mean(FoM);
ticks = {’12:00AM’,’4:00AM’,’8:00AM’,’12:00PM’,’4:00PM’,’8:00PM’,’12:00AM’};
fz = 15;
%%
fig = figure;
set(gcf,’Color’,’w’,’Units’,’inches’)
set(gcf,’Position’,[1,1,5,6])
GHI_color = [0.8 0.8 1];
yyaxis left;
p1 = scatter(Date, FoM, ‘Marker’, ‘.’, ‘SizeData’, 15, ‘MarkerFaceColor’, "#0072BD");
hold on;
p2 = scatter(Date, dFoM, ‘Marker’, ‘_’, ‘SizeData’, 15, ‘MarkerFaceColor’, ‘black’);
hold on;
ax = gca;
ax.YColor = ‘k’;
yyaxis right;
xData = [Date; flipud(Date)];
yData = [zeros(size(GHI)); flipud(GHI)];
fillHandle = fill(xData, yData, GHI_color,’EdgeColor’,’none’);
hold on;
ax = gca;
ax.YColor = ‘k’;
xlabel(‘Time of Day (hrs)’, ‘FontSize’, fz);
numTicks = length(ticks);
tickPositions = linspace(min(Date), max(Date), numTicks);
xticks(tickPositions);
xticklabels(ticks);
set(gca, ‘FontSize’, fz);
ax = gca;
box on;
set(ax,’BoxStyle’,’full’,’LineWidth’,2,’XGrid’,’off’,’XMinorTick’,’off’,’YGrid’,’off’,…
‘YMinorTick’,’on’); Hello,
I have been trying to plot a shaded area (right y-axis) behind two lines (left y-axis), as shown in the code below. However, the shaded area always appears last, covering up the two lines. I’ve done this kind of graph before but have never had this issue. Best I can tell, it is because the right y-axis is plotted last. Is there a way to make the right y-axis plotted first? I can’t simply switch which data is on the axis, unfortunately: they need to be in this order. Thanks for any help!
clear; clc; close all;
Data = xlsread("FigureOfMeritResults.xlsx");
% Extract data
Date = Data(469:1908,1);
FoM = Data(469:1908,3);
GHI = Data(469:1908,4);
% Calculate the running average over 5 data points
FoM_avg = movmean(FoM, 5);
GHI_avg = movmean(GHI, 5);
dFoM = zeros(length(FoM),1) + mean(FoM);
ticks = {’12:00AM’,’4:00AM’,’8:00AM’,’12:00PM’,’4:00PM’,’8:00PM’,’12:00AM’};
fz = 15;
%%
fig = figure;
set(gcf,’Color’,’w’,’Units’,’inches’)
set(gcf,’Position’,[1,1,5,6])
GHI_color = [0.8 0.8 1];
yyaxis left;
p1 = scatter(Date, FoM, ‘Marker’, ‘.’, ‘SizeData’, 15, ‘MarkerFaceColor’, "#0072BD");
hold on;
p2 = scatter(Date, dFoM, ‘Marker’, ‘_’, ‘SizeData’, 15, ‘MarkerFaceColor’, ‘black’);
hold on;
ax = gca;
ax.YColor = ‘k’;
yyaxis right;
xData = [Date; flipud(Date)];
yData = [zeros(size(GHI)); flipud(GHI)];
fillHandle = fill(xData, yData, GHI_color,’EdgeColor’,’none’);
hold on;
ax = gca;
ax.YColor = ‘k’;
xlabel(‘Time of Day (hrs)’, ‘FontSize’, fz);
numTicks = length(ticks);
tickPositions = linspace(min(Date), max(Date), numTicks);
xticks(tickPositions);
xticklabels(ticks);
set(gca, ‘FontSize’, fz);
ax = gca;
box on;
set(ax,’BoxStyle’,’full’,’LineWidth’,2,’XGrid’,’off’,’XMinorTick’,’off’,’YGrid’,’off’,…
‘YMinorTick’,’on’); plot, area MATLAB Answers — New Questions
How to read the properties information of kml data
I got geographical information using ‘readgeotable’,
but I want to bring properties information of actual kml data.
In more detail, I would like to bring each field within the kml data and the property information corresponding to the field.
Is there any way?I got geographical information using ‘readgeotable’,
but I want to bring properties information of actual kml data.
In more detail, I would like to bring each field within the kml data and the property information corresponding to the field.
Is there any way? I got geographical information using ‘readgeotable’,
but I want to bring properties information of actual kml data.
In more detail, I would like to bring each field within the kml data and the property information corresponding to the field.
Is there any way? kml, readtable MATLAB Answers — New Questions
Periodic result using ode45 while simulating a parachute decent with 6DOF dynamics
So I’ve been trying to simulate a parachute descent (very basic model, almost a mass body with a coefficient of drag), from a height. While simulating only in the axial direction(z axis), the results coincide with kinematics equations. However, when I give a non-zero initial condition, the outputs go crazy (definitely not correct) with periodic solutions to related terms. I seem to have checked my equations, they seem to be right. Is there anything with ‘odeset’ I can work this out around.
Zero non-axial initial condition:
x0 = [0; 0; -100; 0; 0; 1; 0; 0; 0; 0; 0; 0];
Non-zero IC:
x0 = [0; 0; -100; 0; 1; 1; 0; 0; 0; 0; 0; 0];
0
this is the code i’ve used for these plots. Please feel free to ask any clarifications
%% 6DOF fucntion definition
function [dxdt, aoa_series] = six_DOF_dynamics(t,x)
M_para = 5; %mass of the parachute in Kgs
g = 9.81; %gravitational acceleration in m/s^2
I_x = 1; I_y = 1; I_z = 3; %Inertia matrix diagonal principal of the parachute in kg-m^2
CD_para = 0.9; %coefficient of drag of parachute
CL_para = 0; %coefficient of lift of parachute
rho = 1; %density of the atmosphere in Kg/m^3
x_com = 0; y_com = 0; z_com = -5; %position of COM of the paarchute from the integrated system’s COM(body axis origin) in m
A = 10; %parachute area in m^2
%state variables defining
x_pos = x(1); y_pos = x(2); z_pos = x(3); %postion variables
u = x(4); v = x(5); w = x(6); %velocity variables
phi = x(7); theta = x(8); psi = x(9); %attitude/euler angles variables
p = x(10); q = x(11); r = x(12); %euler angular rate variables
%rate of change of postion -> velocity
dx_pos = u;
dy_pos = v;
dz_pos = w;
%Gravity moment of the parachute along x,y and z components
GravityMoment_para_x = M_para*g*cos(theta)*(y_com*cos(phi) – z_com*sin(phi));
GravityMoment_para_y = M_para*g*(z_com*sin(theta) – x_com*cos(theta)*cos(phi));
GravityMoment_para_z = M_para*g*(x_com*cos(theta)*sin(phi) + y_com*sin(theta));
V_total = sqrt(u^2 + v^2 + w^2); %net speed
persistent angle_of_attack %defining this variable to take it as a output outside ode45
alpha = acos(w/V_total); %angle of attack calculated in radians
angle_of_attack = [angle_of_attack; alpha]; %concatinating current iterated angle of attack in global variable
%Componetize CD and CL into tangential and normal force coefficients
CT = CD_para*cos(alpha) – CL_para*sin(alpha);
CN = CL_para*cos(alpha) + CD_para*sin(alpha);
% Aerodynamic force along x,y,z axes F = 0.5*rho*v^2*A
if (u == 0 & v == 0)
Aerodynamic_force_x = 0;
Aerodynamic_force_y = 0;
Aerodynamic_force_z = -0.5*rho*CT*V_total*V_total*A;
else
Aerodynamic_force_x = -0.5*rho*CN*V_total*V_total*A*(u/(u^2 + v^2)^0.5);
Aerodynamic_force_y = -0.5*rho*CN*V_total*V_total*A*(v/(u^2 + v^2)^0.5);
Aerodynamic_force_z = -0.5*rho*CT*V_total*V_total*A;
end
%Moment caused by aerodynamic force along x,y,x
Aerodynamic_moment_x = y_com*Aerodynamic_force_z – z_com*Aerodynamic_force_y;
Aerodynamic_moment_y = z_com*Aerodynamic_force_x – x_com*Aerodynamic_force_z;
Aerodynamic_moment_z = x_com*Aerodynamic_force_y – y_com*Aerodynamic_force_x;
%rate change of velocity definition
du = v*r – w*q + g*sin(theta) + Aerodynamic_force_x/M_para;
dv = -u*r + w*p + g*cos(theta)*sin(phi) + Aerodynamic_force_y/M_para;
dw = u*q – v*p + g*cos(theta)*cos(phi) + Aerodynamic_force_z/M_para;
%rate change of euler angles definition
dphi = p + (r*cos(phi) + q*sin(phi))*tan(theta);
dtheta = q*cos(phi) – r*sin(phi);
dpsi = (cos(theta)^-1)*(r*cos(phi) + q*sin(phi));
%rate change of angular rates definition
dp = (1/I_x)*(Aerodynamic_moment_x + GravityMoment_para_x);
dq = (1/I_y)*(Aerodynamic_moment_y + GravityMoment_para_y);
dr = (1/I_z)*(Aerodynamic_moment_z + GravityMoment_para_z);
dxdt = [dx_pos; dy_pos; dz_pos; du; dv; dw; dphi; dtheta; dpsi; dp; dq; dr];
%block to output angle of attack
if nargout>1
aoa_series = angle_of_attack;
end
end
tspan = [0 3];
x0 = [0; 0; -100; 0; 1; 1; 0; 0; 0; 0; 0; 0];
[t, x] = ode45(@six_DOF_dynamics, tspan, x0);
[~, aoa_series] = six_DOF_dynamics(t,x);
%adding alpha as a part of x
% Plot results
figure;
subplot(4,1,1);
plot(t, x(:,1:3));
title(‘Position’);
legend(‘x’, ‘y’, ‘z’);
subplot(4,1,2);
plot(t, x(:,4:6));
title(‘Velocity’);
legend(‘u’, ‘v’, ‘w’);
subplot(4,1,3);
plot(t, x(:,7:9));
title(‘Euler Angles’);
legend(‘phi’, ‘theta’, ‘psi’);
subplot(4,1,4);
plot(t, x(:,10:12));
title(‘Euler Rates’);
legend(‘p’, ‘q’, ‘r’);So I’ve been trying to simulate a parachute descent (very basic model, almost a mass body with a coefficient of drag), from a height. While simulating only in the axial direction(z axis), the results coincide with kinematics equations. However, when I give a non-zero initial condition, the outputs go crazy (definitely not correct) with periodic solutions to related terms. I seem to have checked my equations, they seem to be right. Is there anything with ‘odeset’ I can work this out around.
Zero non-axial initial condition:
x0 = [0; 0; -100; 0; 0; 1; 0; 0; 0; 0; 0; 0];
Non-zero IC:
x0 = [0; 0; -100; 0; 1; 1; 0; 0; 0; 0; 0; 0];
0
this is the code i’ve used for these plots. Please feel free to ask any clarifications
%% 6DOF fucntion definition
function [dxdt, aoa_series] = six_DOF_dynamics(t,x)
M_para = 5; %mass of the parachute in Kgs
g = 9.81; %gravitational acceleration in m/s^2
I_x = 1; I_y = 1; I_z = 3; %Inertia matrix diagonal principal of the parachute in kg-m^2
CD_para = 0.9; %coefficient of drag of parachute
CL_para = 0; %coefficient of lift of parachute
rho = 1; %density of the atmosphere in Kg/m^3
x_com = 0; y_com = 0; z_com = -5; %position of COM of the paarchute from the integrated system’s COM(body axis origin) in m
A = 10; %parachute area in m^2
%state variables defining
x_pos = x(1); y_pos = x(2); z_pos = x(3); %postion variables
u = x(4); v = x(5); w = x(6); %velocity variables
phi = x(7); theta = x(8); psi = x(9); %attitude/euler angles variables
p = x(10); q = x(11); r = x(12); %euler angular rate variables
%rate of change of postion -> velocity
dx_pos = u;
dy_pos = v;
dz_pos = w;
%Gravity moment of the parachute along x,y and z components
GravityMoment_para_x = M_para*g*cos(theta)*(y_com*cos(phi) – z_com*sin(phi));
GravityMoment_para_y = M_para*g*(z_com*sin(theta) – x_com*cos(theta)*cos(phi));
GravityMoment_para_z = M_para*g*(x_com*cos(theta)*sin(phi) + y_com*sin(theta));
V_total = sqrt(u^2 + v^2 + w^2); %net speed
persistent angle_of_attack %defining this variable to take it as a output outside ode45
alpha = acos(w/V_total); %angle of attack calculated in radians
angle_of_attack = [angle_of_attack; alpha]; %concatinating current iterated angle of attack in global variable
%Componetize CD and CL into tangential and normal force coefficients
CT = CD_para*cos(alpha) – CL_para*sin(alpha);
CN = CL_para*cos(alpha) + CD_para*sin(alpha);
% Aerodynamic force along x,y,z axes F = 0.5*rho*v^2*A
if (u == 0 & v == 0)
Aerodynamic_force_x = 0;
Aerodynamic_force_y = 0;
Aerodynamic_force_z = -0.5*rho*CT*V_total*V_total*A;
else
Aerodynamic_force_x = -0.5*rho*CN*V_total*V_total*A*(u/(u^2 + v^2)^0.5);
Aerodynamic_force_y = -0.5*rho*CN*V_total*V_total*A*(v/(u^2 + v^2)^0.5);
Aerodynamic_force_z = -0.5*rho*CT*V_total*V_total*A;
end
%Moment caused by aerodynamic force along x,y,x
Aerodynamic_moment_x = y_com*Aerodynamic_force_z – z_com*Aerodynamic_force_y;
Aerodynamic_moment_y = z_com*Aerodynamic_force_x – x_com*Aerodynamic_force_z;
Aerodynamic_moment_z = x_com*Aerodynamic_force_y – y_com*Aerodynamic_force_x;
%rate change of velocity definition
du = v*r – w*q + g*sin(theta) + Aerodynamic_force_x/M_para;
dv = -u*r + w*p + g*cos(theta)*sin(phi) + Aerodynamic_force_y/M_para;
dw = u*q – v*p + g*cos(theta)*cos(phi) + Aerodynamic_force_z/M_para;
%rate change of euler angles definition
dphi = p + (r*cos(phi) + q*sin(phi))*tan(theta);
dtheta = q*cos(phi) – r*sin(phi);
dpsi = (cos(theta)^-1)*(r*cos(phi) + q*sin(phi));
%rate change of angular rates definition
dp = (1/I_x)*(Aerodynamic_moment_x + GravityMoment_para_x);
dq = (1/I_y)*(Aerodynamic_moment_y + GravityMoment_para_y);
dr = (1/I_z)*(Aerodynamic_moment_z + GravityMoment_para_z);
dxdt = [dx_pos; dy_pos; dz_pos; du; dv; dw; dphi; dtheta; dpsi; dp; dq; dr];
%block to output angle of attack
if nargout>1
aoa_series = angle_of_attack;
end
end
tspan = [0 3];
x0 = [0; 0; -100; 0; 1; 1; 0; 0; 0; 0; 0; 0];
[t, x] = ode45(@six_DOF_dynamics, tspan, x0);
[~, aoa_series] = six_DOF_dynamics(t,x);
%adding alpha as a part of x
% Plot results
figure;
subplot(4,1,1);
plot(t, x(:,1:3));
title(‘Position’);
legend(‘x’, ‘y’, ‘z’);
subplot(4,1,2);
plot(t, x(:,4:6));
title(‘Velocity’);
legend(‘u’, ‘v’, ‘w’);
subplot(4,1,3);
plot(t, x(:,7:9));
title(‘Euler Angles’);
legend(‘phi’, ‘theta’, ‘psi’);
subplot(4,1,4);
plot(t, x(:,10:12));
title(‘Euler Rates’);
legend(‘p’, ‘q’, ‘r’); So I’ve been trying to simulate a parachute descent (very basic model, almost a mass body with a coefficient of drag), from a height. While simulating only in the axial direction(z axis), the results coincide with kinematics equations. However, when I give a non-zero initial condition, the outputs go crazy (definitely not correct) with periodic solutions to related terms. I seem to have checked my equations, they seem to be right. Is there anything with ‘odeset’ I can work this out around.
Zero non-axial initial condition:
x0 = [0; 0; -100; 0; 0; 1; 0; 0; 0; 0; 0; 0];
Non-zero IC:
x0 = [0; 0; -100; 0; 1; 1; 0; 0; 0; 0; 0; 0];
0
this is the code i’ve used for these plots. Please feel free to ask any clarifications
%% 6DOF fucntion definition
function [dxdt, aoa_series] = six_DOF_dynamics(t,x)
M_para = 5; %mass of the parachute in Kgs
g = 9.81; %gravitational acceleration in m/s^2
I_x = 1; I_y = 1; I_z = 3; %Inertia matrix diagonal principal of the parachute in kg-m^2
CD_para = 0.9; %coefficient of drag of parachute
CL_para = 0; %coefficient of lift of parachute
rho = 1; %density of the atmosphere in Kg/m^3
x_com = 0; y_com = 0; z_com = -5; %position of COM of the paarchute from the integrated system’s COM(body axis origin) in m
A = 10; %parachute area in m^2
%state variables defining
x_pos = x(1); y_pos = x(2); z_pos = x(3); %postion variables
u = x(4); v = x(5); w = x(6); %velocity variables
phi = x(7); theta = x(8); psi = x(9); %attitude/euler angles variables
p = x(10); q = x(11); r = x(12); %euler angular rate variables
%rate of change of postion -> velocity
dx_pos = u;
dy_pos = v;
dz_pos = w;
%Gravity moment of the parachute along x,y and z components
GravityMoment_para_x = M_para*g*cos(theta)*(y_com*cos(phi) – z_com*sin(phi));
GravityMoment_para_y = M_para*g*(z_com*sin(theta) – x_com*cos(theta)*cos(phi));
GravityMoment_para_z = M_para*g*(x_com*cos(theta)*sin(phi) + y_com*sin(theta));
V_total = sqrt(u^2 + v^2 + w^2); %net speed
persistent angle_of_attack %defining this variable to take it as a output outside ode45
alpha = acos(w/V_total); %angle of attack calculated in radians
angle_of_attack = [angle_of_attack; alpha]; %concatinating current iterated angle of attack in global variable
%Componetize CD and CL into tangential and normal force coefficients
CT = CD_para*cos(alpha) – CL_para*sin(alpha);
CN = CL_para*cos(alpha) + CD_para*sin(alpha);
% Aerodynamic force along x,y,z axes F = 0.5*rho*v^2*A
if (u == 0 & v == 0)
Aerodynamic_force_x = 0;
Aerodynamic_force_y = 0;
Aerodynamic_force_z = -0.5*rho*CT*V_total*V_total*A;
else
Aerodynamic_force_x = -0.5*rho*CN*V_total*V_total*A*(u/(u^2 + v^2)^0.5);
Aerodynamic_force_y = -0.5*rho*CN*V_total*V_total*A*(v/(u^2 + v^2)^0.5);
Aerodynamic_force_z = -0.5*rho*CT*V_total*V_total*A;
end
%Moment caused by aerodynamic force along x,y,x
Aerodynamic_moment_x = y_com*Aerodynamic_force_z – z_com*Aerodynamic_force_y;
Aerodynamic_moment_y = z_com*Aerodynamic_force_x – x_com*Aerodynamic_force_z;
Aerodynamic_moment_z = x_com*Aerodynamic_force_y – y_com*Aerodynamic_force_x;
%rate change of velocity definition
du = v*r – w*q + g*sin(theta) + Aerodynamic_force_x/M_para;
dv = -u*r + w*p + g*cos(theta)*sin(phi) + Aerodynamic_force_y/M_para;
dw = u*q – v*p + g*cos(theta)*cos(phi) + Aerodynamic_force_z/M_para;
%rate change of euler angles definition
dphi = p + (r*cos(phi) + q*sin(phi))*tan(theta);
dtheta = q*cos(phi) – r*sin(phi);
dpsi = (cos(theta)^-1)*(r*cos(phi) + q*sin(phi));
%rate change of angular rates definition
dp = (1/I_x)*(Aerodynamic_moment_x + GravityMoment_para_x);
dq = (1/I_y)*(Aerodynamic_moment_y + GravityMoment_para_y);
dr = (1/I_z)*(Aerodynamic_moment_z + GravityMoment_para_z);
dxdt = [dx_pos; dy_pos; dz_pos; du; dv; dw; dphi; dtheta; dpsi; dp; dq; dr];
%block to output angle of attack
if nargout>1
aoa_series = angle_of_attack;
end
end
tspan = [0 3];
x0 = [0; 0; -100; 0; 1; 1; 0; 0; 0; 0; 0; 0];
[t, x] = ode45(@six_DOF_dynamics, tspan, x0);
[~, aoa_series] = six_DOF_dynamics(t,x);
%adding alpha as a part of x
% Plot results
figure;
subplot(4,1,1);
plot(t, x(:,1:3));
title(‘Position’);
legend(‘x’, ‘y’, ‘z’);
subplot(4,1,2);
plot(t, x(:,4:6));
title(‘Velocity’);
legend(‘u’, ‘v’, ‘w’);
subplot(4,1,3);
plot(t, x(:,7:9));
title(‘Euler Angles’);
legend(‘phi’, ‘theta’, ‘psi’);
subplot(4,1,4);
plot(t, x(:,10:12));
title(‘Euler Rates’);
legend(‘p’, ‘q’, ‘r’); 6dof, parachute, periodic MATLAB Answers — New Questions
Optimizing Hyperparameters for trainnet fucntion
Hi there I have built my own TCN model in matlab to predict a contunious output and am trying to figure out the best way to optimize the hyperparmeters: Filter Size, Number of Filters, Number of Blocks, and Drop out Factor. I am attempting to use the bayespot function, but am not sure what to use as my function handel and if this is the best method for this kind of network. Should I be using the experiment manger to do this instead (https://www.mathworks.com/help/deeplearning/ug/tune-experiment-hyperparameters-using-bayesian-optimization.html) Does anyone have an suggestions for my code or if there is another way to perform hyperparmeter optimization for this type of network achetecture? Thanks so much.
%Network
numFilters = 64;
filterSize = 5;
droupoutFactor = 0.005;
numBlocks = 5;
net = dlnetwork;
layer = sequenceInputLayer(numFeatures,Normalization="rescale-symmetric",Name="input");
net = addLayers(net,layer);
for i = 1:numBlocks
dilationFactor = 2^(i-1);
layers = [
convolution1dLayer(filterSize,numFilters,DilationFactor=dilationFactor,Padding="causal",Name="conv1_"+i)
layerNormalizationLayer
spatialDropoutLayer(Name= "spat_drop_"+i,Probability=droupoutFactor)
convolution1dLayer(filterSize,numFilters,DilationFactor=dilationFactor,Padding="causal")
layerNormalizationLayer
reluLayer
spatialDropoutLayer(Name="spat_drop2_"+i,Probability=droupoutFactor)
additionLayer(2,Name="add_"+i)];
% Add and connect layers.
net = addLayers(net,layers);
net = connectLayers(net,outputName,"conv1_"+i);
end
net = connectLayers(net,outputName,"fc");
%Training Options
options = trainingOptions("adam", …
‘MaxEpochs’, 60, …
‘MiniBatchSize’, 1, …
‘InputDataFormat’, "CTB", …
‘Metrics’, "rmse", …
‘Verbose’, 0);
filtsize = optimizableVariable(‘filterSize’,[1,10],’Type’,’integer’)
numfilt = optimizableVariable(‘numFilters’,[20,60],’Type’,’integer’)
numblock = optimizableVariable(‘numBlocks’,[1,10],’Type’,’integer’)
dropout = optimizableVariable(‘dropoutfactor’,[0.001,0.01],’Type’,’integer’)
net = trainnet(traningdataX,trainingdataY,net,"mse",options);
fun = (x)@ %Not sure what to put here!
reuslts = bayesopt(,[filtsize, numfilt, numblock, droupout])Hi there I have built my own TCN model in matlab to predict a contunious output and am trying to figure out the best way to optimize the hyperparmeters: Filter Size, Number of Filters, Number of Blocks, and Drop out Factor. I am attempting to use the bayespot function, but am not sure what to use as my function handel and if this is the best method for this kind of network. Should I be using the experiment manger to do this instead (https://www.mathworks.com/help/deeplearning/ug/tune-experiment-hyperparameters-using-bayesian-optimization.html) Does anyone have an suggestions for my code or if there is another way to perform hyperparmeter optimization for this type of network achetecture? Thanks so much.
%Network
numFilters = 64;
filterSize = 5;
droupoutFactor = 0.005;
numBlocks = 5;
net = dlnetwork;
layer = sequenceInputLayer(numFeatures,Normalization="rescale-symmetric",Name="input");
net = addLayers(net,layer);
for i = 1:numBlocks
dilationFactor = 2^(i-1);
layers = [
convolution1dLayer(filterSize,numFilters,DilationFactor=dilationFactor,Padding="causal",Name="conv1_"+i)
layerNormalizationLayer
spatialDropoutLayer(Name= "spat_drop_"+i,Probability=droupoutFactor)
convolution1dLayer(filterSize,numFilters,DilationFactor=dilationFactor,Padding="causal")
layerNormalizationLayer
reluLayer
spatialDropoutLayer(Name="spat_drop2_"+i,Probability=droupoutFactor)
additionLayer(2,Name="add_"+i)];
% Add and connect layers.
net = addLayers(net,layers);
net = connectLayers(net,outputName,"conv1_"+i);
end
net = connectLayers(net,outputName,"fc");
%Training Options
options = trainingOptions("adam", …
‘MaxEpochs’, 60, …
‘MiniBatchSize’, 1, …
‘InputDataFormat’, "CTB", …
‘Metrics’, "rmse", …
‘Verbose’, 0);
filtsize = optimizableVariable(‘filterSize’,[1,10],’Type’,’integer’)
numfilt = optimizableVariable(‘numFilters’,[20,60],’Type’,’integer’)
numblock = optimizableVariable(‘numBlocks’,[1,10],’Type’,’integer’)
dropout = optimizableVariable(‘dropoutfactor’,[0.001,0.01],’Type’,’integer’)
net = trainnet(traningdataX,trainingdataY,net,"mse",options);
fun = (x)@ %Not sure what to put here!
reuslts = bayesopt(,[filtsize, numfilt, numblock, droupout]) Hi there I have built my own TCN model in matlab to predict a contunious output and am trying to figure out the best way to optimize the hyperparmeters: Filter Size, Number of Filters, Number of Blocks, and Drop out Factor. I am attempting to use the bayespot function, but am not sure what to use as my function handel and if this is the best method for this kind of network. Should I be using the experiment manger to do this instead (https://www.mathworks.com/help/deeplearning/ug/tune-experiment-hyperparameters-using-bayesian-optimization.html) Does anyone have an suggestions for my code or if there is another way to perform hyperparmeter optimization for this type of network achetecture? Thanks so much.
%Network
numFilters = 64;
filterSize = 5;
droupoutFactor = 0.005;
numBlocks = 5;
net = dlnetwork;
layer = sequenceInputLayer(numFeatures,Normalization="rescale-symmetric",Name="input");
net = addLayers(net,layer);
for i = 1:numBlocks
dilationFactor = 2^(i-1);
layers = [
convolution1dLayer(filterSize,numFilters,DilationFactor=dilationFactor,Padding="causal",Name="conv1_"+i)
layerNormalizationLayer
spatialDropoutLayer(Name= "spat_drop_"+i,Probability=droupoutFactor)
convolution1dLayer(filterSize,numFilters,DilationFactor=dilationFactor,Padding="causal")
layerNormalizationLayer
reluLayer
spatialDropoutLayer(Name="spat_drop2_"+i,Probability=droupoutFactor)
additionLayer(2,Name="add_"+i)];
% Add and connect layers.
net = addLayers(net,layers);
net = connectLayers(net,outputName,"conv1_"+i);
end
net = connectLayers(net,outputName,"fc");
%Training Options
options = trainingOptions("adam", …
‘MaxEpochs’, 60, …
‘MiniBatchSize’, 1, …
‘InputDataFormat’, "CTB", …
‘Metrics’, "rmse", …
‘Verbose’, 0);
filtsize = optimizableVariable(‘filterSize’,[1,10],’Type’,’integer’)
numfilt = optimizableVariable(‘numFilters’,[20,60],’Type’,’integer’)
numblock = optimizableVariable(‘numBlocks’,[1,10],’Type’,’integer’)
dropout = optimizableVariable(‘dropoutfactor’,[0.001,0.01],’Type’,’integer’)
net = trainnet(traningdataX,trainingdataY,net,"mse",options);
fun = (x)@ %Not sure what to put here!
reuslts = bayesopt(,[filtsize, numfilt, numblock, droupout]) optimization, machine learning, hyperparameters MATLAB Answers — New Questions
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Hello Team, We are trying to develop a teams bot and came across the Teams toolkit extension in vscode, and plan to use it, we are successfully able to publish the bot, but the problem is we are not able to understand the internal working of the bot, how is it processing the request and once it gets the chunks from my search AI, how does it generate the response for the user.
Hello Team, We are trying to develop a teams bot and came across the Teams toolkit extension in vscode, and plan to use it, we are successfully able to publish the bot, but the problem is we are not able to understand the internal working of the bot, how is it processing the request and once it gets the chunks from my search AI, how does it generate the response for the user. Read More
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When signing up for the MEXC cryptocurrency exchange, you can benefit from various advantages by using a special referral code. By entering “1RnSQ” as the referral code during registration, you can access opportunities such as a welcome bonus of up to 91,600 USDT and a 20% lifetime discount on trading fees.
ExchangeMEXCMEXC Referral Code1RnSQTrading Fee Discount 50%Welcome BonusUp to $100000 USDTDate2024-25
When signing up for the MEXC cryptocurrency exchange, you can benefit from various advantages by using a special referral code. By entering “1RnSQ” as the referral code during registration, you can access opportunities such as a welcome bonus of up to 91,600 USDT and a 20% lifetime discount on trading fees.ExchangeMEXCMEXC Referral Code1RnSQTrading Fee Discount 50%Welcome BonusUp to $100000 USDTDate2024-25 Read More
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HI There,
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Hello community or microsoft team,
we have a big problem with the booking calendar tool.
Available appointments are listed there, but they are occupied in the Outlook calendar. I am not the only one experiencing this problem, I have also been told by a colleague that he has also noticed this.
In the settings for the “Service”, the “Bookable when staff are free” option is activated under Available.
What can we do?
Hello community or microsoft team, we have a big problem with the booking calendar tool.Available appointments are listed there, but they are occupied in the Outlook calendar. I am not the only one experiencing this problem, I have also been told by a colleague that he has also noticed this.In the settings for the “Service”, the “Bookable when staff are free” option is activated under Available. What can we do? Read More
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The business is not ready to outright block all unmanaged device access.
Any help appreciated.
We are in the process of testing policies to restrict unmanaged device access to Microsoft 365. We have implemented Session policies in Defender for Cloud Apps to block cut/copy, print and download activities and these are confirmed working. The only issue we are experiencing is the user can still download the file if they click on the Editing drop down in Word/Excel Online and click Open in Desktop. The business is not ready to outright block all unmanaged device access. Any help appreciated. Read More
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