Introduction
Health and human right are important factors of a country. These two needs to be emphasized for the development of human resources (Kos, 2019). Great Britain follows a model provided by Lord William Beverage in their health management system. As per this model, the government is Continue reading
Book Review: Indians in Singapore, 1819 – 1945 – Diaspora in the Colonial Port City
Diaspora is one of the highlighted topics in studying population evolution and its features. The book “Indians in Singapore, 1819-1945: Diaspora in Colonial Port City” written by Rajesh Rai focuses on the topic of Diaspora and its associated features. The meticulously researched data is Continue reading
Introduction
The hotel industry is considered a service industry as it involves different types of facilities that are provided to customers such as lodging and accommodation (Luu, 2017). In addition to this, there are various types of hotels that include budget & value hotels, Beach & Vacation resorts, Continue reading
%Fit using polyfit in matlab for best fit checking plot
table = xlsread(‘Project04′,’Stepped-Shaft Torsion Data, A-E’)
[p S] = polyfit(table(:,1),table(:,2),5) Continue reading
#include <stdio.h>
#include <string.h> //for string manipulation
#include <unistd.h>
#include <stdlib.h> Continue reading
I. Problem statement
Most often it is observed that the skill and experience of executive or C suite managers have a direct bearing on the performance of the corporation. The success and attitude of them impact the future of the corporation too. Thus it is essential and inevitable to ensure they are well Continue reading
/* Contains basic functions to read/write integer, floating-point and
* string data types from/to the UART. Continue reading
Introduction
The connection between health and wealth is known as the “gradient”: health progresses when the pay increases and the needy have harsher fitness than the wealthy, which means the greater the gradient improved will be the health. Money is always related to a person’s well-being. The Continue reading
Introduction
Today’s world has been steadily moving towards a generation where children are addicted to mobile phones and televisions. It is as if they have not yet tasted the good old golden days when children used to play outdoors and develop physical as well as mental growth. However, Continue reading
Discussion:
Background on the Disease (demographic distribution, prevalence, etc)
Acute nephritic syndrome (ANS) refers to a group of symptoms that come to the surface with some specific disorders that trigger the swelling and inflammation of the glomeruli in the kidney, or glomerulonephritis (Medline Plus, 2020). The prevalence rate of this disease is quite wider in Continue reading
function A09Prob1_sphereVol_kang401(radius)
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% ENGR 132
% Program Description
% The code computes volume of a sphere as a function of height of fluid
% The input to function call is radius
% The function does not return any variable Continue reading
A=imread(‘one.png’)
signImage=rgb2gray(A);
figure(1)
imshow(signImage)
%Detect features of first image that is read above%
signPoints=detectSURFFeatures(signImage)
figure(3)
imshow(signImage)
title(‘100 strongest features from sign image’)
hold on
%Top 100 strongest features
plot(selectStrongest(signPoints,100))
[signFeatures2, signPoints2] = extractFeatures(signImage, signPoints)
B=imread(‘two.png’)
signImage2=rgb2gray(B);
figure(4)
imshow(signImage2)
%Detect features of first image that is read above%
signPoints2=detectSURFFeatures(signImage2)
figure(5)
imshow(signImage2)
title(‘100 strongest features from sign image’)
hold on
%Top 100 strongest features
plot(selectStrongest(signPoints2,300))
[signFeatures2, signPoints2] = extractFeatures(signImage2, signPoints2)
%Punitive point matches in both the images%
picPairs=matchFeatures(signFeatures, signFeatures2);
matchedSignPoints = signPoints(picPairs(:,1),:);
matchedFindPoints = signPoints2(picPairs(:,2),:);
figure(6)
showMatchedFeatures(signImage,signImage2,matchedSignPoints, matchedFindPoints, ‘montage’)
title(‘Matched points both images’)
%Locate objects using Punitive matches%
%[tform, inlierBoxPoints, inlierScenePoints] =estimateGeometricTransform(matchedSignPoints, matchedFindPoints);
%figure;
%showMatchedFeatures(signImage, signImage2, inlierBoxPoints,inlierScenePoints, ‘montage’);
%title(‘Matched Points (Inliers Only)’);
files=["in_abc10.txt","in_abc100.txt"] outFiles=["out_abc10a.txt","out_abc100a.txt"] finalOutputFile=["out10b.txt","out100b.txt"] Continue reading
import java.util.ArrayList;
import java.util.Scanner;
public class BubbleSotr
{
public static void main(String[] args) Continue reading
library(readxl)
CSDATA <- read_excel(“CSDATA.xlsx”)
dim(CSDATA)
#Fitting the linear regression on all the independent variables Continue reading