A preliminary exploration of the data to better understand its characteristics. Techniques used in data exploration include summary statistics, visualization, and online analytical processing (OLAP). Summary statistics provide numerical summaries of the data, visualization converts data into visual formats to detect patterns, and OLAP represents data in multidimensional arrays to enable analysis across different dimensions and levels of aggregation.
Pg. 01Question Three Assignment 1Deadline Satur.docxkarlhennesey
Pg. 01
Question Three
Assignment 1
Deadline: Saturday 05/10/[email protected] 23:59
[Total Mark for this Assignment is 6]
Web Technologies
IT230
College of Computing and Informatics
Question One
1 Marks
Learning Outcome(s):
LO1: Identify the elements and attributes of web pages.
Users prefer to stream high quality videos (e.g., watch YouTube) without lagging (i.e., slow loading). In this context, explain how UDP is better than TCP when streaming videos?
Question Two
3 Marks
Learning Outcome(s):
LO3: Create web pages using XHTML and Cascading Styles sheets.
Consider the given output for customer payment information to write the correct HTML/CSS code.
Instructions:
· Customer payment information should be sent to (payment.com).
· Card type options: Visa, Mastercard and American Express.
· Write your code and provide a screenshot of the output.
Question Three
2 Marks
Learning Outcome(s):
LO3: Create web pages using XHTML and Cascading Styles sheets.
<ol>
<li id="Y"><a href ="home.php">HOME </a> </li>
<li ><a id ="Z" href ="login.php">LOGIN </a> </li>
<li><a href ="register.php">REGISTER </a> </li>
</ol>
<p>This is First paragraph </p>
<p>This is Second paragraph with a
<a href="link1.html">link 1</a>
</p>
<br />
<a href="link2.html">link 2</a>
<p class="X"> This is Third Paragraph</p>
<p class="X"> This is Fourth Paragraph</p>
Write the CSS rules needed to:
1. Change the color of the link Login to Yellow
2. Change the color of the link (link 1) to green
3. Change the color of the third and the fourth paragraphs to red
4. Change the color of the remainder of the Web page text to blue
1.Obtain one of the data sets available at the UCI Machine Learning Repository and apply as many of the different visualization techniques described in the chapter as possible. The bibliographic notes and book Web site provide pointers to visualization software.
2.Discuss the advantages and disadvantages of using sampling to reduce the number of data objects that need to be displayed. Would simple random sampling(without replacement) be a good approach to sampling? Why or why not?
3.Describe one advantage and one disadvantage of a stem and leaf plot withrespect to a standard histogram.
4.Compare sepal length, sepal width, petal length, and petal width, using Figure3.12.
5.Comment on the use of a box plot to explore a data set with four attributes:age, weight, height, and income.
6.Give a possible explanation as to why most of the values of petal length andwidth fall in the buckets along the diagonal in Figure 3.9.
7.Simple line plots, such as that displayed in Figure 2.12 on page 56, whichshows two time series, can be used to effectively display high-dimensional data.For example, in Figure 2.12 it is easy to tell that the frequencies of the twotime series are different. What characteristic of time series allows the effectivevisualization of high-dimensional data?
8.Describe the ...
Pg. 01Question Three Assignment 1Deadline Satur.docxkarlhennesey
Pg. 01
Question Three
Assignment 1
Deadline: Saturday 05/10/[email protected] 23:59
[Total Mark for this Assignment is 6]
Web Technologies
IT230
College of Computing and Informatics
Question One
1 Marks
Learning Outcome(s):
LO1: Identify the elements and attributes of web pages.
Users prefer to stream high quality videos (e.g., watch YouTube) without lagging (i.e., slow loading). In this context, explain how UDP is better than TCP when streaming videos?
Question Two
3 Marks
Learning Outcome(s):
LO3: Create web pages using XHTML and Cascading Styles sheets.
Consider the given output for customer payment information to write the correct HTML/CSS code.
Instructions:
· Customer payment information should be sent to (payment.com).
· Card type options: Visa, Mastercard and American Express.
· Write your code and provide a screenshot of the output.
Question Three
2 Marks
Learning Outcome(s):
LO3: Create web pages using XHTML and Cascading Styles sheets.
<ol>
<li id="Y"><a href ="home.php">HOME </a> </li>
<li ><a id ="Z" href ="login.php">LOGIN </a> </li>
<li><a href ="register.php">REGISTER </a> </li>
</ol>
<p>This is First paragraph </p>
<p>This is Second paragraph with a
<a href="link1.html">link 1</a>
</p>
<br />
<a href="link2.html">link 2</a>
<p class="X"> This is Third Paragraph</p>
<p class="X"> This is Fourth Paragraph</p>
Write the CSS rules needed to:
1. Change the color of the link Login to Yellow
2. Change the color of the link (link 1) to green
3. Change the color of the third and the fourth paragraphs to red
4. Change the color of the remainder of the Web page text to blue
1.Obtain one of the data sets available at the UCI Machine Learning Repository and apply as many of the different visualization techniques described in the chapter as possible. The bibliographic notes and book Web site provide pointers to visualization software.
2.Discuss the advantages and disadvantages of using sampling to reduce the number of data objects that need to be displayed. Would simple random sampling(without replacement) be a good approach to sampling? Why or why not?
3.Describe one advantage and one disadvantage of a stem and leaf plot withrespect to a standard histogram.
4.Compare sepal length, sepal width, petal length, and petal width, using Figure3.12.
5.Comment on the use of a box plot to explore a data set with four attributes:age, weight, height, and income.
6.Give a possible explanation as to why most of the values of petal length andwidth fall in the buckets along the diagonal in Figure 3.9.
7.Simple line plots, such as that displayed in Figure 2.12 on page 56, whichshows two time series, can be used to effectively display high-dimensional data.For example, in Figure 2.12 it is easy to tell that the frequencies of the twotime series are different. What characteristic of time series allows the effectivevisualization of high-dimensional data?
8.Describe the ...
Descriptive statistics are methods of describing the characteristics of a data set. It includes calculating things such as the average of the data, its spread and the shape it produces.
Data Mining Exploring DataLecture Notes for Chapter 3OllieShoresna
Data Mining: Exploring Data
Lecture Notes for Chapter 3
Introduction to Data Mining
by
Tan, Steinbach, Kumar
What is data exploration?Key motivations of data exploration includeHelping to select the right tool for preprocessing or analysisMaking use of humans’ abilities to recognize patterns People can recognize patterns not captured by data analysis tools
Related to the area of Exploratory Data Analysis (EDA)Created by statistician John TukeySeminal book is Exploratory Data Analysis by TukeyA nice online introduction can be found in Chapter 1 of the NIST Engineering Statistics Handbook
http://www.itl.nist.gov/div898/handbook/index.htm
A preliminary exploration of the data to better understand its characteristics.
Techniques Used In Data Exploration In EDA, as originally defined by TukeyThe focus was on visualizationClustering and anomaly detection were viewed as exploratory techniquesIn data mining, clustering and anomaly detection are major areas of interest, and not thought of as just exploratory
In our discussion of data exploration, we focus onSummary statisticsVisualizationOnline Analytical Processing (OLAP)
Iris Sample Data Set Many of the exploratory data techniques are illustrated with the Iris Plant data set.Can be obtained from the UCI Machine Learning Repository
http://www.ics.uci.edu/~mlearn/MLRepository.htmlFrom the statistician Douglas FisherThree flower types (classes): Setosa Virginica VersicolourFour (non-class) attributes Sepal width and length Petal width and length
Virginica. Robert H. Mohlenbrock. USDA NRCS. 1995. Northeast wetland flora: Field office guide to plant species. Northeast National Technical Center, Chester, PA. Courtesy of USDA NRCS Wetland Science Institute.
Summary StatisticsSummary statistics are numbers that summarize properties of the data
Summarized properties include frequency, location and spread Examples: location - mean
spread - standard deviation
Most summary statistics can be calculated in a single pass through the data
Frequency and ModeThe frequency of an attribute value is the percentage of time the value occurs in the
data set For example, given the attribute ‘gender’ and a representative population of people, the gender ‘female’ occurs about 50% of the time.The mode of a an attribute is the most frequent attribute value The notions of frequency and mode are typically used with categorical data
PercentilesFor continuous data, the notion of a percentile is more useful.
Given an ordinal or continuous attribute x and a number p between 0 and 100, the pth percentile is a value of x such that p% of the observed values of x are less than .
For instance, the 50th percentile is the value such that 50% of all values of x are less than .
Measures of Location: Mean and MedianThe mean is the most common measure of the location of a set of points. However, the mean is very sensitive to outliers. ...
Data Science & AI Road Map by Python & Computer science tutor in MalaysiaAhmed Elmalla
The slides were used in a trial session for a student aiming to learn python to do Data science projects .
The session video can be watched from the link below
https://youtu.be/CwCe1pKOVI8
I have over 20 years of experience in both teaching & in completing computer science projects with certificates from Stanford, Alberta, Pennsylvania, California Irvine universities.
I teach the following subjects:
1) IGCSE A-level 9618 / AS-Level
2) AP Computer Science exam A
3) Python (basics, automating staff, Data Analysis, AI & Flask)
4) Java (using Duke University syllabus)
5) Descriptive statistics using SQL
6) PHP, SQL, MYSQL & Codeigniter framework (using University of Michigan syllabus)
7) Android Apps development using Java
8) C / C++ (using University of Colorado syllabus)
Check Trial Classes:
1) A-Level Trial Class : https://youtu.be/v3k7A0nNb9Q
2) AS level trial Class : https://youtu.be/wj14KpfbaPo
3) 0478 IGCSE class : https://youtu.be/sG7PrqagAes
4) AI & Data Science class: https://youtu.be/CwCe1pKOVI8
https://elmalla.info/blog/68-tutor-profile-slide-share
You can get your trial Class now by booking : https://calendly.com/ahmed-elmalla/30min
And you can contact me on
https://wa.me/0060167074241
by Python & Computer science tutor in Malaysia
Descriptive statistics are methods of describing the characteristics of a data set. It includes calculating things such as the average of the data, its spread and the shape it produces.
Data Mining Exploring DataLecture Notes for Chapter 3OllieShoresna
Data Mining: Exploring Data
Lecture Notes for Chapter 3
Introduction to Data Mining
by
Tan, Steinbach, Kumar
What is data exploration?Key motivations of data exploration includeHelping to select the right tool for preprocessing or analysisMaking use of humans’ abilities to recognize patterns People can recognize patterns not captured by data analysis tools
Related to the area of Exploratory Data Analysis (EDA)Created by statistician John TukeySeminal book is Exploratory Data Analysis by TukeyA nice online introduction can be found in Chapter 1 of the NIST Engineering Statistics Handbook
http://www.itl.nist.gov/div898/handbook/index.htm
A preliminary exploration of the data to better understand its characteristics.
Techniques Used In Data Exploration In EDA, as originally defined by TukeyThe focus was on visualizationClustering and anomaly detection were viewed as exploratory techniquesIn data mining, clustering and anomaly detection are major areas of interest, and not thought of as just exploratory
In our discussion of data exploration, we focus onSummary statisticsVisualizationOnline Analytical Processing (OLAP)
Iris Sample Data Set Many of the exploratory data techniques are illustrated with the Iris Plant data set.Can be obtained from the UCI Machine Learning Repository
http://www.ics.uci.edu/~mlearn/MLRepository.htmlFrom the statistician Douglas FisherThree flower types (classes): Setosa Virginica VersicolourFour (non-class) attributes Sepal width and length Petal width and length
Virginica. Robert H. Mohlenbrock. USDA NRCS. 1995. Northeast wetland flora: Field office guide to plant species. Northeast National Technical Center, Chester, PA. Courtesy of USDA NRCS Wetland Science Institute.
Summary StatisticsSummary statistics are numbers that summarize properties of the data
Summarized properties include frequency, location and spread Examples: location - mean
spread - standard deviation
Most summary statistics can be calculated in a single pass through the data
Frequency and ModeThe frequency of an attribute value is the percentage of time the value occurs in the
data set For example, given the attribute ‘gender’ and a representative population of people, the gender ‘female’ occurs about 50% of the time.The mode of a an attribute is the most frequent attribute value The notions of frequency and mode are typically used with categorical data
PercentilesFor continuous data, the notion of a percentile is more useful.
Given an ordinal or continuous attribute x and a number p between 0 and 100, the pth percentile is a value of x such that p% of the observed values of x are less than .
For instance, the 50th percentile is the value such that 50% of all values of x are less than .
Measures of Location: Mean and MedianThe mean is the most common measure of the location of a set of points. However, the mean is very sensitive to outliers. ...
Data Science & AI Road Map by Python & Computer science tutor in MalaysiaAhmed Elmalla
The slides were used in a trial session for a student aiming to learn python to do Data science projects .
The session video can be watched from the link below
https://youtu.be/CwCe1pKOVI8
I have over 20 years of experience in both teaching & in completing computer science projects with certificates from Stanford, Alberta, Pennsylvania, California Irvine universities.
I teach the following subjects:
1) IGCSE A-level 9618 / AS-Level
2) AP Computer Science exam A
3) Python (basics, automating staff, Data Analysis, AI & Flask)
4) Java (using Duke University syllabus)
5) Descriptive statistics using SQL
6) PHP, SQL, MYSQL & Codeigniter framework (using University of Michigan syllabus)
7) Android Apps development using Java
8) C / C++ (using University of Colorado syllabus)
Check Trial Classes:
1) A-Level Trial Class : https://youtu.be/v3k7A0nNb9Q
2) AS level trial Class : https://youtu.be/wj14KpfbaPo
3) 0478 IGCSE class : https://youtu.be/sG7PrqagAes
4) AI & Data Science class: https://youtu.be/CwCe1pKOVI8
https://elmalla.info/blog/68-tutor-profile-slide-share
You can get your trial Class now by booking : https://calendly.com/ahmed-elmalla/30min
And you can contact me on
https://wa.me/0060167074241
by Python & Computer science tutor in Malaysia
Hybrid optimization of pumped hydro system and solar- Engr. Abdul-Azeez.pdffxintegritypublishin
Advancements in technology unveil a myriad of electrical and electronic breakthroughs geared towards efficiently harnessing limited resources to meet human energy demands. The optimization of hybrid solar PV panels and pumped hydro energy supply systems plays a pivotal role in utilizing natural resources effectively. This initiative not only benefits humanity but also fosters environmental sustainability. The study investigated the design optimization of these hybrid systems, focusing on understanding solar radiation patterns, identifying geographical influences on solar radiation, formulating a mathematical model for system optimization, and determining the optimal configuration of PV panels and pumped hydro storage. Through a comparative analysis approach and eight weeks of data collection, the study addressed key research questions related to solar radiation patterns and optimal system design. The findings highlighted regions with heightened solar radiation levels, showcasing substantial potential for power generation and emphasizing the system's efficiency. Optimizing system design significantly boosted power generation, promoted renewable energy utilization, and enhanced energy storage capacity. The study underscored the benefits of optimizing hybrid solar PV panels and pumped hydro energy supply systems for sustainable energy usage. Optimizing the design of solar PV panels and pumped hydro energy supply systems as examined across diverse climatic conditions in a developing country, not only enhances power generation but also improves the integration of renewable energy sources and boosts energy storage capacities, particularly beneficial for less economically prosperous regions. Additionally, the study provides valuable insights for advancing energy research in economically viable areas. Recommendations included conducting site-specific assessments, utilizing advanced modeling tools, implementing regular maintenance protocols, and enhancing communication among system components.
About
Indigenized remote control interface card suitable for MAFI system CCR equipment. Compatible for IDM8000 CCR. Backplane mounted serial and TCP/Ethernet communication module for CCR remote access. IDM 8000 CCR remote control on serial and TCP protocol.
• Remote control: Parallel or serial interface.
• Compatible with MAFI CCR system.
• Compatible with IDM8000 CCR.
• Compatible with Backplane mount serial communication.
• Compatible with commercial and Defence aviation CCR system.
• Remote control system for accessing CCR and allied system over serial or TCP.
• Indigenized local Support/presence in India.
• Easy in configuration using DIP switches.
Technical Specifications
Indigenized remote control interface card suitable for MAFI system CCR equipment. Compatible for IDM8000 CCR. Backplane mounted serial and TCP/Ethernet communication module for CCR remote access. IDM 8000 CCR remote control on serial and TCP protocol.
Key Features
Indigenized remote control interface card suitable for MAFI system CCR equipment. Compatible for IDM8000 CCR. Backplane mounted serial and TCP/Ethernet communication module for CCR remote access. IDM 8000 CCR remote control on serial and TCP protocol.
• Remote control: Parallel or serial interface
• Compatible with MAFI CCR system
• Copatiable with IDM8000 CCR
• Compatible with Backplane mount serial communication.
• Compatible with commercial and Defence aviation CCR system.
• Remote control system for accessing CCR and allied system over serial or TCP.
• Indigenized local Support/presence in India.
Application
• Remote control: Parallel or serial interface.
• Compatible with MAFI CCR system.
• Compatible with IDM8000 CCR.
• Compatible with Backplane mount serial communication.
• Compatible with commercial and Defence aviation CCR system.
• Remote control system for accessing CCR and allied system over serial or TCP.
• Indigenized local Support/presence in India.
• Easy in configuration using DIP switches.
CFD Simulation of By-pass Flow in a HRSG module by R&R Consult.pptxR&R Consult
CFD analysis is incredibly effective at solving mysteries and improving the performance of complex systems!
Here's a great example: At a large natural gas-fired power plant, where they use waste heat to generate steam and energy, they were puzzled that their boiler wasn't producing as much steam as expected.
R&R and Tetra Engineering Group Inc. were asked to solve the issue with reduced steam production.
An inspection had shown that a significant amount of hot flue gas was bypassing the boiler tubes, where the heat was supposed to be transferred.
R&R Consult conducted a CFD analysis, which revealed that 6.3% of the flue gas was bypassing the boiler tubes without transferring heat. The analysis also showed that the flue gas was instead being directed along the sides of the boiler and between the modules that were supposed to capture the heat. This was the cause of the reduced performance.
Based on our results, Tetra Engineering installed covering plates to reduce the bypass flow. This improved the boiler's performance and increased electricity production.
It is always satisfying when we can help solve complex challenges like this. Do your systems also need a check-up or optimization? Give us a call!
Work done in cooperation with James Malloy and David Moelling from Tetra Engineering.
More examples of our work https://www.r-r-consult.dk/en/cases-en/
Student information management system project report ii.pdfKamal Acharya
Our project explains about the student management. This project mainly explains the various actions related to student details. This project shows some ease in adding, editing and deleting the student details. It also provides a less time consuming process for viewing, adding, editing and deleting the marks of the students.
Industrial Training at Shahjalal Fertilizer Company Limited (SFCL)MdTanvirMahtab2
This presentation is about the working procedure of Shahjalal Fertilizer Company Limited (SFCL). A Govt. owned Company of Bangladesh Chemical Industries Corporation under Ministry of Industries.
Welcome to WIPAC Monthly the magazine brought to you by the LinkedIn Group Water Industry Process Automation & Control.
In this month's edition, along with this month's industry news to celebrate the 13 years since the group was created we have articles including
A case study of the used of Advanced Process Control at the Wastewater Treatment works at Lleida in Spain
A look back on an article on smart wastewater networks in order to see how the industry has measured up in the interim around the adoption of Digital Transformation in the Water Industry.
Explore the innovative world of trenchless pipe repair with our comprehensive guide, "The Benefits and Techniques of Trenchless Pipe Repair." This document delves into the modern methods of repairing underground pipes without the need for extensive excavation, highlighting the numerous advantages and the latest techniques used in the industry.
Learn about the cost savings, reduced environmental impact, and minimal disruption associated with trenchless technology. Discover detailed explanations of popular techniques such as pipe bursting, cured-in-place pipe (CIPP) lining, and directional drilling. Understand how these methods can be applied to various types of infrastructure, from residential plumbing to large-scale municipal systems.
Ideal for homeowners, contractors, engineers, and anyone interested in modern plumbing solutions, this guide provides valuable insights into why trenchless pipe repair is becoming the preferred choice for pipe rehabilitation. Stay informed about the latest advancements and best practices in the field.
Overview of the fundamental roles in Hydropower generation and the components involved in wider Electrical Engineering.
This paper presents the design and construction of hydroelectric dams from the hydrologist’s survey of the valley before construction, all aspects and involved disciplines, fluid dynamics, structural engineering, generation and mains frequency regulation to the very transmission of power through the network in the United Kingdom.
Author: Robbie Edward Sayers
Collaborators and co editors: Charlie Sims and Connor Healey.
(C) 2024 Robbie E. Sayers