Printing and graphics (asp.net)
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This document provides code samples for printing in .NET Framework and drawing graphics in VB.NET. It includes code to print text to a page using a PrintDocument component, as well as code to draw lines, ellipses, and text on a form using the Graphics object. The document demonstrates how to initialize components, handle button click events to trigger printing or drawing, and includes namespaces and imports used. It also briefly mentions running the printing application and shows an output sample.
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Program.csusing System; using System.Collections.Generic; usin.pdf
Program.cs
using System;
using System.Collections.Generic;
using System.Linq;
using System.Threading.Tasks;
using System.Windows.Forms;
namespace Population_Database
{
static class Program
{
static void Main()
{
Application.EnableVisualStyles();
Application.SetCompatibleTextRenderingDefault(false);
Application.Run(new Form1());
}
}
}
Form1.cs
using System;
using System.Collections.Generic;
using System.ComponentModel;
using System.Data;
using System.Drawing;
using System.Linq;
using System.Text;
using System.Threading.Tasks;
using System.Windows.Forms;
namespace Population_Database
{
public partial class Form1 : Form
{
public Form1()
{
InitializeComponent();
}
private void cityBindingNavigatorSaveItem_Click(object sender, EventArgs e)
{
this.Validate();
this.cityBindingSource.EndEdit();
this.tableAdapterManager.UpdateAll(this.cityDataSet);
}
private void Form1_Load(object sender, EventArgs e)
{
// TODO: This line of code loads data into the \'cityDataSet.City\' table. You can move,
or remove it, as needed.
this.cityTableAdapter.Fill(this.cityDataSet.City);
}
private void btnAscPopulation_Click(object sender, EventArgs e)
{
// Sort the table by population in ascending order
this.cityTableAdapter.FillByAscPopulation(this.cityDataSet.City);
}
private void btnDescPopulation_Click(object sender, EventArgs e)
{
// Sort the table by population in descending order
this.cityTableAdapter.FillByDescPopulation(this.cityDataSet.City);
}
private void btnName_Click(object sender, EventArgs e)
{
this.cityTableAdapter.FillByCity(this.cityDataSet.City);
}
private void btnTotal_Click(object sender, EventArgs e)
{
// Declare variable to hold total population.
double totalPopulation;
// Get the total population.
totalPopulation = (double)this.cityTableAdapter.TotalPopulation();
// Display the total population.
MessageBox.Show(\"Total Population: \" + totalPopulation.ToString(\"n0\"));
}
private void btnAverage_Click(object sender, EventArgs e)
{
// Declare variable to hold average population.
double averagePopulation;
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averagePopulation = (double)this.cityTableAdapter.AveragePopulation();
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private void btnMaxPopulation_Click(object sender, EventArgs e)
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// Declare variable to hold highest population.
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maxPopulation = (double)this.cityTableAdapter.MaxPopulation();
// Display the highest population.
MessageBox.Show(\"Highest Population: \" + maxPopulation.ToString(\"n0\"));
}
private void btnMinPopulation_Click(object sender, EventArgs e)
{
// Declare variable to hold lowest population.
double minPopulation;
// Get the lowest population.
minPopulation = (double)this.cityTableAdapter.MinPopulation();
// Display the lowest population.
MessageBox.Show(\"Lowest Population: \" + minPopulation.ToString(\"n0\"));
}
private void btnExit_Click(object sender, EventArgs e)
{
// Cl.
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Program.cs
using System;
using System.Collections.Generic;
using System.Linq;
using System.Threading.Tasks;
using System.Windows.Forms;
namespace Population_Database
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Form1.cs
using System;
using System.Collections.Generic;
using System.ComponentModel;
using System.Data;
using System.Drawing;
using System.Linq;
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using System.Threading.Tasks;
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Cloud computing provides economic benefits through common infrastructure, location independence, online connectivity, utility pricing, and on-demand resources. Pooled, standardized resources lower overhead costs and increase utilization through statistical multiplexing. Aggregating independent workloads reduces variability, lowering the cost per delivered resource. In reality, workloads may be correlated, limiting these statistical economies. However, mid-size providers can achieve scale benefits by aggregating independent demands. Large cloud providers utilize scale through low-cost components and automation.
Week 1 lecture material cc
Cloud computing provides on-demand access to shared computing resources like networks, servers, storage, applications and services. It has essential characteristics like on-demand self-service, broad network access, resource pooling and rapid elasticity. The cloud services models include Software as a Service (SaaS), Platform as a Service (PaaS), and Infrastructure as a Service (IaaS). The deployment models are private cloud, community cloud, public cloud and hybrid cloud.
Mod05lec25(resource mgmt ii)
This document discusses resource management in cloud computing. It begins by defining different types of resources, including physical resources like computers and disks, and logical resources like execution and communication applications. It then discusses the objectives and challenges of resource management, such as scalability, quality of service, and reducing overheads and latency. The document outlines various aspects of resource management including provisioning, allocation, mapping, adaptation, discovery, brokering, estimation, and modeling. It also discusses approaches to resource provisioning, allocation, mapping, adaptation and lists some key performance metrics.
Mod05lec24(resource mgmt i)
This document discusses resource management in cloud computing and strategies for improving energy efficiency. It describes different resource types, including physical and logical resources. It then discusses how resource management controls access to cloud capabilities. The document outlines how data center power consumption is growing rapidly and motivating the need for green computing approaches. These include power-aware and thermal-aware scheduling of virtual machines, optimized data center design, and minimizing the size of virtual machine images to reduce energy usage. The overall summary advocates an integrated green cloud framework combining various efficiency techniques.
Mod05lec23(map reduce tutorial)
The document describes MapReduce, a programming model developed at Google for processing large datasets in a distributed computing environment. It discusses how MapReduce works, with mappers processing input data in parallel to generate intermediate key-value pairs, and reducers then merging all intermediate values associated with the same key. Three examples of MapReduce problems and their solutions are provided to illustrate how MapReduce can be used to calculate averages, group data by gender to find totals and averages, and categorize words by length.
Mod05lec22(cloudonomics tutorial)
1. The document discusses the economic properties of cloud computing including common infrastructure, location independence, online connectivity, utility pricing, and on-demand resources.
2. It provides details on utility pricing models and how cloud computing can be cheaper than owning resources depending on the ratio of peak to average demand.
3. On-demand cloud resources allow organizations to dynamically scale up or down based on changing demand levels without penalty, which provides significant economic benefits over static resource provisioning.
Mod05lec21(sla tutorial)
The document discusses service level agreements (SLAs) in cloud computing. It defines an SLA as a formal contract between a service provider and consumer that defines the level of availability and performance guaranteed by the provider. SLAs contain service level objectives that are measurable conditions used to select cloud providers. The document provides two example problems, the first calculating if an availability guarantee was violated given total outage time, and the second calculating the effective cost for a service given availability percentages and outage durations were below guarantees.
Lecture29 cc-security4
This document discusses security issues in collaborative Software as a Service (SaaS) cloud environments. It presents four objectives: 1) developing a framework to select a trustworthy SaaS cloud provider, 2) recommending access requests from anonymous users, 3) mapping authorized permissions to local roles, and 4) dynamically detecting and removing access policy conflicts. The document outlines challenges in securing loosely coupled collaborations in clouds and motivates addressing security in SaaS cloud delivery through risk estimation, access conflict mediation, and establishing trust in cloud service providers.
Lecture28 cc-security3
The document summarizes research on security risks in cloud computing due to multi-tenancy. It discusses how researchers were able to:
1) Map the physical layout of Amazon EC2 instances to determine placement parameters to achieve co-residence with target VMs.
2) Verify co-residence through network checks and a covert channel with over 60% success.
3) Cause co-residence by launching many probes or targeting recently launched instances, achieving up to 40% success.
4) Exploit co-residence to measure cache usage and network traffic, allowing for load monitoring and covert channels to leak information.
Lecture27 cc-security2
The document discusses security issues related to cloud computing. It begins by defining cloud computing and its economic advantages for consumers and providers. However, security concerns are a barrier to wider adoption of cloud computing. The document then examines seven specific security risks identified by Gartner: privileged user access, regulatory compliance and audit, data location, data segregation, recovery, investigative support, and long-term viability. Additional security issues discussed include virtualization, access control, application security, and data life cycle management. Throughout, the document emphasizes the importance of customers understanding security responsibilities and having visibility into a cloud provider's security practices.
Lecture26 cc-security1
This document discusses cloud computing security and covers the following key points in 15 sentences or less:
Cloud security involves ensuring confidentiality, integrity, and availability of data. There are four main types of security attacks: interruption, interception, modification, and fabrication. Security threats can be classified as disclosure, deception, disruption, or usurpation. Security policies define what is and is not allowed, while mechanisms enforce these policies. Security aims to prevent attacks, detect violations, and enable recovery from any successful attacks. Trust and assumptions underlie all aspects of security policies, mechanisms, operations, and issues.
Lecture 30 cloud mktplace
This document discusses the development of a cloud computing broker that can intelligently select cloud providers and services for customers based on their requirements. It aims to address issues like varying quality of service across providers, flexibility in customer needs, and avoiding vendor lock-in. The proposed broker uses fuzzy logic techniques to select suitable providers based on promised quality of service and trustworthiness. It also monitors services and can trigger migration to another provider if service level agreements are not met. Case studies on infrastructure and software marketplaces demonstrate that the fuzzy-based broker performs better than conventional cost-based approaches.
Week 7 lecture material
Mobile cloud computing combines cloud computing, mobile computing and wireless networks to provide data storage and processing services to mobile users without requiring powerful device hardware. This allows mobile apps to be built and updated quickly using cloud services and to seamlessly continue across different devices. Key benefits include improved data access, reliability and flexibility compared to relying solely on local device resources. Effective mobile cloud computing requires dynamic partitioning of apps between mobile devices and cloud servers to optimize for factors like energy usage and execution time.
Gurukul Cse cbcs-2015-16
This document outlines the revised syllabus for the Bachelor of Technology in Computer Science and Engineering program at Gurukula Kangri Vishwavidyalaya in Haridwar, India effective from the 2015-2016 academic year. It lists the courses, subjects, evaluation schemes, credits and codes for each semester of the 4-year program. The syllabus includes both theory and practical courses covering topics such as engineering chemistry, mathematics, programming, data structures, operating systems, databases and more. It provides the framework for the BTech CSE degree over 8 semesters of study.
Microprocessor full hand made notes
The document discusses the benefits of exercise for both physical and mental health. It notes that regular exercise can reduce the risk of diseases like heart disease and diabetes, improve mood, and reduce feelings of stress and anxiety. The document recommends that adults get at least 150 minutes of moderate exercise or 75 minutes of vigorous exercise per week to gain these benefits.
Transfer Leaning Using Pytorch synopsis Minor project pptx
Mini-Project of B.tech ,Transfer Leaning Using Pytorch,Transfer Learning , Pytorch , Ant-Bees Classification using Pytorch,
https://github.com/ankitAMD/1Ant_Bees_classification_Pytorch
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