Report Assignment 1 for Site Surveying module which requires us to do levelling measurement around the campus carpark, for the Bachelor of Quantity Surveying (BQS) Course Semester 2, Taylor's University Lakeside Campus
It will give you a fundamentals on different types of map and an introduction on topographic mapping.
This presentation is made for my report in Basic Geography Class
Surveying is the technique, profession, and science of determining the terrestrial or three-dimensional positions of points and the distances and angles between them.
Surveying is used to prepare military map, geological map, archaeological map.
Report Assignment 1 for Site Surveying module which requires us to do levelling measurement around the campus carpark, for the Bachelor of Quantity Surveying (BQS) Course Semester 2, Taylor's University Lakeside Campus
It will give you a fundamentals on different types of map and an introduction on topographic mapping.
This presentation is made for my report in Basic Geography Class
Surveying is the technique, profession, and science of determining the terrestrial or three-dimensional positions of points and the distances and angles between them.
Surveying is used to prepare military map, geological map, archaeological map.
By the end of the lesson students should be able to:
-explain how height is shown on maps
-recognise slope types
-some will identify landscape features from looking at contours
Email Assignment Grading Criteria – 40 points
· Content (15 points)
· Informative subject line
· Effective buffer sentence(s) followed by …
· Clear, direct message that gives the most important information
· Full explanation of “why”
· Respectful, professional tone throughout
· Structure (15 points)
· Follows structure as outlined on “Email Writing” PPT
· Message is organized logically (buffer, main point, reasons why, etc.)
· No rambling/topic drift
· Short paragraphs and sentences
· Uses brevity tools to guide the reader and highlight key points
· Language (10 points)
· Use Grammar and Language Checklist as a guide
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Parallax
&
Stellar Distances
NAME:
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Image
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Image 2
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Distance Measurement MethodsA. Parallax from Images
In this exercise, you will determine the distances to stars that appear in a pair of images taken 3 months apart. Some stars are in different positions in the two images. You will also determine the minimum distance to those stars for which there is no measurable parallax.
Take a look at the two star field images. You can assume that the patch of sky in these images is near the plane of the ecliptic. (Note that these images are actually artificial constructions to make it possible to measure many stellar parallaxes in one image. In reality, stars that are close enough to us to have measurable parallaxes wouldn’t be so close together on the sky.) The images are “negatives,” so that stars appear black on a white background. The size of a star in the images is determined not by the star’s physical dimensions, but by its brightness. The brighter stars appear bigger than faint ones.
Step 1: Compare the two star images carefully, looking for stars that appear in different locations in the two images. You may find it helpful to lay image #1 on top of image #2, and hold them up to a light. Be careful to align the two images well (most stars will line up perfectly). You can also try using a ruler to check if separations or alignments between stars have changed.
Step 2: Mark each star that has moved noticeably with an arrow on image #1 • Draw the arrows in BELOW the stars, so they point “up” at the stars. Label each star with a number, letter or name.
Step 3: For each star that moves, estimate its center by eye as best you can on image #1,and make a small dot there with a pen or pencil. Then lay image #1 on top of image #2, and look for where each star moved to in image #2. Make a small dot on image #1 at the location where the star is centered in image #2. You should now have two dots on image #1 associated with each star that moves.
Step 4: Use a ruler to measure how far each star has shifted in the three-month period between image #1 and image #2. Make the measurements in millimeters (mm), and record each measurement in the second column of Table 1 on your worksheet.
Step 5: Convert your measurements in millimeters to an angular size using the f.
Visualisation for BusinessANL 201The Art of Data Visua.docxjessiehampson
Visualisation for Business
ANL 201
The Art of Data Visualisation
Study Unit 3
January 2020
Visual Cues
3
Visual Cues
The eight components of visual cues
1. Position (e.g., scatterplot)
2. Length (e.g., bar chart)
3. Angle (e.g., pie chart)
4. Direction (e.g., line graph)
5. Shape (e.g., scatterplot)
6. Area (e.g., square area graph)
7. Volume
8. Colour
4
Visual Cues
Mun Teng
Sticky Note
normally attributed to the scatter plot, useful for spotting outliers, good for relatively comparison between points, not so good for telling you the exact data points and when many data points are close to one another
Mun Teng
Sticky Note
always start from 0 scale
Mun Teng
Sticky Note
the larger the circle of a chart, the bigger the size
5
Visual Cues
6
Visual Cues
Colour — the Red-Green-Blue (RGB) colour system
‣ The basic idea of the RGB colour system is that any coloured light can be
matched by a weighted sum of any three distinct primary colours
C ≡ rR + gG + bB,
where
C is the colour to be matched
R, G, and B are primary sources to be used to create a match
r, g, and b are the amounts of each primary source
≡ denotes a perceptual match
Mun Teng
Sticky Note
colors are good at segmenting categories
Mun Teng
Sticky Note
only supplementary on math, need to know this only thoroughly for this module
7
Visual Cues
Colour — the CIE colour system
‣ The CIE colour system uses a set of abstract primaries called tristimulus values
that are labelled XYZ. These values are chosen for their mathematical
properties, and not because they match any set of actual lights
‣ The CIE colour system is by far the most widely adopted colour system to
measure coloured lights. We should always use the CIE colour system when
precise colour specification is required
8
Visual Cues
Colour — the HSV colour system
‣ The HSV colour system uses colour hue, colour saturation, and black-white
brightness (i.e., value) to specify the surface colours
‣ In the HSV colour system, hue refers to which part of the rainbow colour map a
colour belongs to, such as red or green. Saturation refers to how rich a colour
hue is, for example, neon colours are very saturated, while pastel colours are
less saturated. Value denotes how bright a colour is, or in other words, how close
a colour is to pure white or pure black
Coordinate Systems
10
Coordinate Systems
The cartesian coordinate system
‣ The cartesian coordinate system specifies each data point on a plane by a pair
of numerical coordinates. The numerical coordinates are the signed distances
from the data point to the two fixed perpendicular reference lines, called the x-
axis and y-axis
‣ Both axes meet at a point, called the origin, which is usually represented by the
ordered pair (0, 0)
‣ The numerical coordinates can also be expressed as a signed distance from the
origin
Mun Teng
Sticky Note
distance can be plus or minus that's why it is signed distance
C ...
This presentation focuses on Creation of image to image georeferencing in Arcgis of a particular area
A geographic information system (GIS) is a system designed to capture, store, manipulate, analyze, manage, and present spatial or geographic data.
115L Lab TwoUsing Graphs to Recognize Mathematical Relatio.docxhyacinthshackley2629
115L Lab Two
Using Graphs to Recognize Mathematical Relations:
Displacement, Velocity and Acceleration
1 Introduction
Many of the things that are studied using physics are processes that change
over time. A system being studied will have some initial configuration at the
beginning of the observation. As time goes on, the system will evolve into a
new configuration. One of the most common practices in scientific study is to
keep detailed records of a systems configuration through a period of time. This
allows the observer to look back at the systems evolution as a function of
time. Often, the function will follow a consistent mathematical relation that
leads to the equations used to model physical processes and predict the behavior
of systems.
Today you will look at a simple system, a cart moving in one dimension
along a track. You will look at separate functions for the cart’s position along
the track, the rate of change of that position (the velocity), and the rate of
change of the velocity or amount that the cart is speeding up or slowing down
(the acceleration). Plots of the functions, all functions of time, reveal the simple
mathematical relations that each follows. Features of the plots also clearly show
the connections between the three functions: position, velocity and acceleration.
Theses connections are what led Newton and Liebniz to invent calculus. Study-
ing the connections between the graphs of these functions is an illuminating
illustration of the basic principles of calculus, and how they appear in the phys-
ical world.
2 Making a Graph of Position as a Function of
Time
You have a track set up at a low angle, and a low friction cart to roll down the
track. At the top of the track there is a motion detector. The motion detector
sends an ultrasonic pulse, and then detects the reflection. The time delay be-
tween the sent and received pulse allows the detector to calculate the distance
to the object that the pulse reflected from. A series of these measurements over
time allows the motion of an object to be tracked.
1
• Make sure the detector’s switch is set on the narrow-beam setting.
• Make sure the detector is aimed parallel to the track.
• Open the DataStudio file PS115L.Position1.
• Hold the cart about 20 cm from the detector. Make a note of the
starting position:
• Click “start” on the DataStudio interface and release the cart.
Try to time your release of the cart as close as possible to the
start of the data collection. Click stop just as the cart reaches
the bottom of the ramp.
Catch the cart as it reaches the bottom!!
• Identify the initial position of the cart.
The data table may have several readings near the beginning of
the data set with values that do not vary, or vary only slightly.
Use the average of these values as the initial position of the cart
before the release.
• Identify the last relevant data point.
If you timed your “stop” correctly, you will be able to use the
data all the way to the end..
Similar to Lesson 9 How Do I Measure Height On A Map (20)
Generative AI Deep Dive: Advancing from Proof of Concept to ProductionAggregage
Join Maher Hanafi, VP of Engineering at Betterworks, in this new session where he'll share a practical framework to transform Gen AI prototypes into impactful products! He'll delve into the complexities of data collection and management, model selection and optimization, and ensuring security, scalability, and responsible use.
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In this work, we equipped AFL, a popular fuzzer, with DIAR and examined two critical Linux libraries -- Libxml's xmllint, a tool for parsing xml documents, and Binutil's readelf, an essential debugging and security analysis command-line tool used to display detailed information about ELF (Executable and Linkable Format). Our preliminary results show that AFL+DIAR does not only discover new paths more quickly but also achieves higher coverage overall. This work thus showcases how starting with lean and optimized seeds can lead to faster, more comprehensive fuzzing campaigns -- and DIAR helps you find such seeds.
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SAP Sapphire 2024 - ASUG301 building better apps with SAP Fiori.pdfPeter Spielvogel
Building better applications for business users with SAP Fiori.
• What is SAP Fiori and why it matters to you
• How a better user experience drives measurable business benefits
• How to get started with SAP Fiori today
• How SAP Fiori elements accelerates application development
• How SAP Build Code includes SAP Fiori tools and other generative artificial intelligence capabilities
• How SAP Fiori paves the way for using AI in SAP apps
Unlocking Productivity: Leveraging the Potential of Copilot in Microsoft 365, a presentation by Christoforos Vlachos, Senior Solutions Manager – Modern Workplace, Uni Systems
Alt. GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using ...James Anderson
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The modern software delivery process (or the CI/CD process) includes many tools, distributed teams, open-source code, and cloud platforms. Constant focus on speed to release software to market, along with the traditional slow and manual security checks has caused gaps in continuous security as an important piece in the software supply chain. Today organizations feel more susceptible to external and internal cyber threats due to the vast attack surface in their applications supply chain and the lack of end-to-end governance and risk management.
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Speakers:
Bob Boule
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Paper presented at SYNERGY workshop at AVI 2024, Genoa, Italy. 3rd June 2024
https://alandix.com/academic/papers/synergy2024-epistemic/
As machine learning integrates deeper into human-computer interactions, the concept of epistemic interaction emerges, aiming to refine these interactions to enhance system adaptability. This approach encourages minor, intentional adjustments in user behaviour to enrich the data available for system learning. This paper introduces epistemic interaction within the context of human-system communication, illustrating how deliberate interaction design can improve system understanding and adaptation. Through concrete examples, we demonstrate the potential of epistemic interaction to significantly advance human-computer interaction by leveraging intuitive human communication strategies to inform system design and functionality, offering a novel pathway for enriching user-system engagements.
Dr. Sean Tan, Head of Data Science, Changi Airport Group
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UiPath Test Automation using UiPath Test Suite series, part 4DianaGray10
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What will you get from this session?
1. Insights into SAP testing best practices
2. Heatmap utilization for testing
3. Optimization of testing processes
4. Demo
Topics covered:
Execution from the test manager
Orchestrator execution result
Defect reporting
SAP heatmap example with demo
Speaker:
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The latest edition of the OT/ICS and IoT security Threat Landscape Report 2024 also covers:
State of global ICS asset and network exposure
Sectoral targets and attacks as well as the cost of ransom
Global APT activity, AI usage, actor and tactic profiles, and implications
Rise in volumes of AI-powered cyberattacks
Major cyber events in 2024
Malware and malicious payload trends
Cyberattack types and targets
Vulnerability exploit attempts on CVEs
Attacks on counties – USA
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In-depth analysis of the cyber threat landscape across North America, South America, Europe, APAC, and the Middle East
Why are attacks on smart factories rising?
Cyber risk predictions
Axis of attacks – Europe
Systemic attacks in the Middle East
Download the full report from here:
https://sectrio.com/resources/ot-threat-landscape-reports/sectrio-releases-ot-ics-and-iot-security-threat-landscape-report-2024/
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