The document describes algorithms for efficiently transforming digital images represented in run length encoding under various geometric transformations like rotation, flipping, and shearing. It presents several existing algorithms for performing such transformations in linear time or better and identifies limitations in those algorithms. Improved algorithms are proposed that can perform rotations and other transformations in one pass of the run length encoded image data in linear or near-linear time.
This is a Question Papers of Mumbai University for B.Sc.IT Student of Semester - IV [Quantitative Technology] (Revised Course). [Year - October / 2016] . . . Solution Set of this Paper is Coming soon . . .
Visualising is essential for data science process because it allows as to look at the portrait of our data and develop new hypotheses about our problem. However, visualisation does not scale very well as we are limited by the number of pixels in the our screen (at least for static graphics). This deck talks about the approach - Bin - Summarize - Smooth approach to visualise big data which has been developed by Hadley Wickham and then implemented in an R package in Bigvis.
Even though exploring data visually is an integral part of the data analytic pipeline, we struggle to visually explore data once the number of dimensions go beyond three. This talk will focus on showcasing techniques to visually explore multi dimensional data p 3. The aim would be show examples of each of following techniques, potentially using one exemplar dataset. This talk was given at the Strata + Hadoop World Conference @ Singapore 2015 and at Fifth Elephant conference @ Bangalore, 2015
Holographic interfaces are a great way to interact with the physical world in ways that users understand. We are often are restricted to dealing with our digital universe with flat 2 dimensional screen or VR interfaces.
In this session i am going to talk about how we can create an interactive holographic display which is perfect to be used in a interactive commerce context allowing users to experience new ways to checkout and interact with the digital space.
Using braintree we can also create a payment vault in the Holographic space to allow a much faster and seamless checkout experience for the user.
This is a Question Papers of Mumbai University for B.Sc.IT Student of Semester - IV [Quantitative Technology] (Revised Course). [Year - October / 2016] . . . Solution Set of this Paper is Coming soon . . .
Visualising is essential for data science process because it allows as to look at the portrait of our data and develop new hypotheses about our problem. However, visualisation does not scale very well as we are limited by the number of pixels in the our screen (at least for static graphics). This deck talks about the approach - Bin - Summarize - Smooth approach to visualise big data which has been developed by Hadley Wickham and then implemented in an R package in Bigvis.
Even though exploring data visually is an integral part of the data analytic pipeline, we struggle to visually explore data once the number of dimensions go beyond three. This talk will focus on showcasing techniques to visually explore multi dimensional data p 3. The aim would be show examples of each of following techniques, potentially using one exemplar dataset. This talk was given at the Strata + Hadoop World Conference @ Singapore 2015 and at Fifth Elephant conference @ Bangalore, 2015
Holographic interfaces are a great way to interact with the physical world in ways that users understand. We are often are restricted to dealing with our digital universe with flat 2 dimensional screen or VR interfaces.
In this session i am going to talk about how we can create an interactive holographic display which is perfect to be used in a interactive commerce context allowing users to experience new ways to checkout and interact with the digital space.
Using braintree we can also create a payment vault in the Holographic space to allow a much faster and seamless checkout experience for the user.
Meeting, Talking, Learning, Reflecting, Creating and Innovating! Melbourne eCommerce is a Meetup which focuses on the fast paced world of internet retailing for Australia Retailers. Hear from inspirational, dynamic, successful and switched on people in this for ever changing industry.
http://www.meetup.com/MelbourneEcommerce/events/220045627/
Music is a great way to capture the hearts minds and imagination of the young and old but what if we created new ways to interact with technology around us.
Using Javascript i will create some live music using nothing but code and a Macbook air to create a musical symphony the likes of which that hasn't been seen since the onset of the technical age.
Also in this session i will look at how we can take an everyday item, like a PayPal Here, to connect via some computer generated music to create a symphonic music and light show that will be the talk of the town, interacting via our API's in a whole new way.
IoT Commerce using Ruby, PHP and Arduino Steven Cooper
The internet of things industry has been booming for a while now and the number of IoT devices surpassed the number of people on the planet in 2008 bringing with it a number of emerging technology opportunities. For Developer, retailers and customers other than offering a form of cheap and easy to scale hardware it allows buyer and seller to connect in ways that they could not have done so previously.
One thing i have taken through a number of countries is a Arduino Yun powered IoT commerce printer which, when a order on a website is received, will automatically print a receipt out thus offering a merchant a very inexpensive way to automatically receive real world notifications when orders have been placed.
In a user case example this means that the likes of a restaurant can accept payment for coffee and other items on a website and have a receipt print out and be for-filled very easily and very quickly and all for under $120 USD.
Solutions like this encourage not only growth within the industry but help in the facilitation of creating new ways for customers to transact but id like to hear some more thoughts on even if IoT Commerce is something that has a place not only in Tech industry circles but within business
The history of PayPal from idea to global platform looks at where it all started with some code along away.
*Note this is an animated deck with sound which may not show on slideshare
The Emergence of IoT and How its Reshaping How We Interact With The Digital W...Steven Cooper
Keynote for the http://www.mosc.my/ conference in Malaysia covering how we have created a digital universe that we are trying to interact with via the world of IoT
PHP has been around for many years and has been used any number of ways and in projects large and small, one of its little known and seldom used functions is in that of raw audio generation and output.
In a show of its extreme versatility for the awesomeness that is PHP, we are going to hear what php code can sound like helping push one of the little known and often rarely used functions to create music from elegant symphonies to some of the latest tunes. We will also hear what code from some of the more well known platforms sounds like.
Building the future as a full stack devSteven Cooper
As developers we deal with an ever-changing and always growing industry, with new and exciting ways of being able to deliver awesome projects keeping up with any one single stream is always something a developer needs to keep on top of. From backend, frontend and ops, the opportunities to build cool things within each stream is endless.
From Lua, Ruby and Node we can look at the similarities between some of the core languages and how you can use the knowledge of one to build into another, learning at least the fundamental behaviour within a stream language or bridging into a new stream.
In this talk, I will share my experience of working on projects for some big name companies as a developer and why being polyglot was an important part of being able to deliver scalable projects on time and for being able to manage a team of developers for busy and thriving digital agencies.
Securing your Kubernetes cluster_ a step-by-step guide to success !KatiaHIMEUR1
Today, after several years of existence, an extremely active community and an ultra-dynamic ecosystem, Kubernetes has established itself as the de facto standard in container orchestration. Thanks to a wide range of managed services, it has never been so easy to set up a ready-to-use Kubernetes cluster.
However, this ease of use means that the subject of security in Kubernetes is often left for later, or even neglected. This exposes companies to significant risks.
In this talk, I'll show you step-by-step how to secure your Kubernetes cluster for greater peace of mind and reliability.
Dev Dives: Train smarter, not harder – active learning and UiPath LLMs for do...UiPathCommunity
💥 Speed, accuracy, and scaling – discover the superpowers of GenAI in action with UiPath Document Understanding and Communications Mining™:
See how to accelerate model training and optimize model performance with active learning
Learn about the latest enhancements to out-of-the-box document processing – with little to no training required
Get an exclusive demo of the new family of UiPath LLMs – GenAI models specialized for processing different types of documents and messages
This is a hands-on session specifically designed for automation developers and AI enthusiasts seeking to enhance their knowledge in leveraging the latest intelligent document processing capabilities offered by UiPath.
Speakers:
👨🏫 Andras Palfi, Senior Product Manager, UiPath
👩🏫 Lenka Dulovicova, Product Program Manager, UiPath
JMeter webinar - integration with InfluxDB and GrafanaRTTS
Watch this recorded webinar about real-time monitoring of application performance. See how to integrate Apache JMeter, the open-source leader in performance testing, with InfluxDB, the open-source time-series database, and Grafana, the open-source analytics and visualization application.
In this webinar, we will review the benefits of leveraging InfluxDB and Grafana when executing load tests and demonstrate how these tools are used to visualize performance metrics.
Length: 30 minutes
Session Overview
-------------------------------------------
During this webinar, we will cover the following topics while demonstrating the integrations of JMeter, InfluxDB and Grafana:
- What out-of-the-box solutions are available for real-time monitoring JMeter tests?
- What are the benefits of integrating InfluxDB and Grafana into the load testing stack?
- Which features are provided by Grafana?
- Demonstration of InfluxDB and Grafana using a practice web application
To view the webinar recording, go to:
https://www.rttsweb.com/jmeter-integration-webinar
Epistemic Interaction - tuning interfaces to provide information for AI supportAlan Dix
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.
Neuro-symbolic is not enough, we need neuro-*semantic*Frank van Harmelen
Neuro-symbolic (NeSy) AI is on the rise. However, simply machine learning on just any symbolic structure is not sufficient to really harvest the gains of NeSy. These will only be gained when the symbolic structures have an actual semantics. I give an operational definition of semantics as “predictable inference”.
All of this illustrated with link prediction over knowledge graphs, but the argument is general.
Essentials of Automations: Optimizing FME Workflows with ParametersSafe Software
Are you looking to streamline your workflows and boost your projects’ efficiency? Do you find yourself searching for ways to add flexibility and control over your FME workflows? If so, you’re in the right place.
Join us for an insightful dive into the world of FME parameters, a critical element in optimizing workflow efficiency. This webinar marks the beginning of our three-part “Essentials of Automation” series. This first webinar is designed to equip you with the knowledge and skills to utilize parameters effectively: enhancing the flexibility, maintainability, and user control of your FME projects.
Here’s what you’ll gain:
- Essentials of FME Parameters: Understand the pivotal role of parameters, including Reader/Writer, Transformer, User, and FME Flow categories. Discover how they are the key to unlocking automation and optimization within your workflows.
- Practical Applications in FME Form: Delve into key user parameter types including choice, connections, and file URLs. Allow users to control how a workflow runs, making your workflows more reusable. Learn to import values and deliver the best user experience for your workflows while enhancing accuracy.
- Optimization Strategies in FME Flow: Explore the creation and strategic deployment of parameters in FME Flow, including the use of deployment and geometry parameters, to maximize workflow efficiency.
- Pro Tips for Success: Gain insights on parameterizing connections and leveraging new features like Conditional Visibility for clarity and simplicity.
We’ll wrap up with a glimpse into future webinars, followed by a Q&A session to address your specific questions surrounding this topic.
Don’t miss this opportunity to elevate your FME expertise and drive your projects to new heights of efficiency.
Accelerate your Kubernetes clusters with Varnish CachingThijs Feryn
A presentation about the usage and availability of Varnish on Kubernetes. This talk explores the capabilities of Varnish caching and shows how to use the Varnish Helm chart to deploy it to Kubernetes.
This presentation was delivered at K8SUG Singapore. See https://feryn.eu/presentations/accelerate-your-kubernetes-clusters-with-varnish-caching-k8sug-singapore-28-2024 for more details.
The Art of the Pitch: WordPress Relationships and SalesLaura Byrne
Clients don’t know what they don’t know. What web solutions are right for them? How does WordPress come into the picture? How do you make sure you understand scope and timeline? What do you do if sometime changes?
All these questions and more will be explored as we talk about matching clients’ needs with what your agency offers without pulling teeth or pulling your hair out. Practical tips, and strategies for successful relationship building that leads to closing the deal.
UiPath Test Automation using UiPath Test Suite series, part 4DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 4. In this session, we will cover Test Manager overview along with SAP heatmap.
The UiPath Test Manager overview with SAP heatmap webinar offers a concise yet comprehensive exploration of the role of a Test Manager within SAP environments, coupled with the utilization of heatmaps for effective testing strategies.
Participants will gain insights into the responsibilities, challenges, and best practices associated with test management in SAP projects. Additionally, the webinar delves into the significance of heatmaps as a visual aid for identifying testing priorities, areas of risk, and resource allocation within SAP landscapes. Through this session, attendees can expect to enhance their understanding of test management principles while learning practical approaches to optimize testing processes in SAP environments using heatmap visualization techniques
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:
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
UiPath Test Automation using UiPath Test Suite series, part 3DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 3. In this session, we will cover desktop automation along with UI automation.
Topics covered:
UI automation Introduction,
UI automation Sample
Desktop automation flow
Pradeep Chinnala, Senior Consultant Automation Developer @WonderBotz and UiPath MVP
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
Transcript: Selling digital books in 2024: Insights from industry leaders - T...BookNet Canada
The publishing industry has been selling digital audiobooks and ebooks for over a decade and has found its groove. What’s changed? What has stayed the same? Where do we go from here? Join a group of leading sales peers from across the industry for a conversation about the lessons learned since the popularization of digital books, best practices, digital book supply chain management, and more.
Link to video recording: https://bnctechforum.ca/sessions/selling-digital-books-in-2024-insights-from-industry-leaders/
Presented by BookNet Canada on May 28, 2024, with support from the Department of Canadian Heritage.
5. Create directory is linear
offset = 0;
for (line = 0; line < hight; line++)
{
{
length = 0;
while (length < width)
{
length += run.getLength();
run.next();
offset++;
}
output(offset);
}
}
6. The Geometric Operations
OP Procedure
No op Copy source to destination row by row run by run.
Column flip Read input columns in reverse order.
Row flip Read input rows in reverse order.
Rotate 180° Do row flip and column flip.
Diagonal flip Swap rows with columns.
Rotate 90° (CCW) Do column flip and then diagonal flip.
Rotate 270° (CW) Do row flip and then diagonal flip.
Opposite diagonal flip Do 180° rotation and diagonal flip.
Rotate by 0° < α ≤ 45°
Rotate by 0° > α ≥ 45°
Rotate by any angle
8. The Columns flip operation.
• for (line = 0; line < height; i++)
• {
• start = directory[line];
• ends = directory[line + 1];
• // go backwards
• for (index = ends – 1; index >= start; index--)
• {
• output_run(image[index]);
• }
• }
9. The Rows flip operation.
• for (line = 0; line < height; line++)
• {
• start = directory[height - line - 1];
• ends = directory[height - line];
• // go forwards
• for (index = start; index < end; index++)
• {
• output_run(image[index]);
• }
• }
10. The Rotation by 180°
operation.
• for (line = 0; line < height; line++)
• {
• start = directory[height - line - 1];
• ends = directory[height - line];
• // go backwards
• for (index = ends – 1; index >= start; index--)
• {
• output_run(image[index]);
• }
• }
11. The Diagonal Flip operation.
• Merging process
• For each line sequence runi={leni,colouri}
• Create ordered list {Σi
j=0 lenj,colouri}
• Use regular merging algorithm
• Compare colours while merging.
The 1 st the 2 nd and 3 rd cases are when two runs have the same colour. In all of these cases we know that no output run should be created, at least in the overlapping region, and this overlapping region ends at the minimum of the two runs. Therefore what is needed to do is just to record this minimum column. These three cases are described in figures one to three below.
The 4th the 5 th and 6 th cases are when two runs don’t have the same colour. Now if two runs from two successive lines have an overlapping span then it is obvious that a run in the flipped image terminate and new runs start as can seen form the next pictures. Output run should be created from the last recorded column of unmatched colour up to the minimum of the runs. The column of the minimum run is recorded as it was recorded in the previous cases.
Now when an output run is to be created there are two things that are needed, the colour and the length. The colour of the run is just the colour of the top run. The length of the run is the difference between the line index of the bottom line and the index of the line where this line started. Now all what is needed is to remember on which line this run started, it started of course when a run above it terminated, or at the top of the image. In order to "remember" where each run started, the algorithm will use an auxiliary array called start that keeps track on the starting line of output runs that are not yet written. To clarify it lets look at a bit mapped grid virtually laid over the run length encoded image together with the auxiliary start array at the top row. And assume that the lines that are merged are lines 3 and 4. Then the situation will be like the following
Destination pixel at (1:7) does not have any source, No source pixel is mapped to (1:7) Destination pixel at (0:7) has two sources. In reverse trans pixel (1:7) will not be sampled and pixel (0:7) will be sampled twice. It is not reversible.
Perform rotation by three successive sheering transformation.
Vertical sheering is not efficient in bit mapped image because of memory architecture. It is also not natural for run length encoded images. Can do vertical sheering by transposing and horizontal sheering.
Assume one wish to rotate by a small angle an image that consists of horizontal stripes that alternate their colours each line. The output image is likely to have the same order of the input image, but the intermediate images after the 90° rotation will have a very big size, since it is an image of vertical stripes, and this kind of image does not compress well with run length encoding.
The 1 st case is when the two runs ends after a breaking line but before the next breaking line, and the top run ends after the bottom run, as the next picture shows. In this case no output run ends, and the merge process continues.
In the 2 nd case is when to top run ends before or together with the bottom line, but not at a breaking line. I this case an output run is created
In 3 rd case the bottom run ends exactly at a breaking line, while the top run continues. Now since a run ends only when the colour changes, we know that a top run must ends, and a run should be created.
In the 4 th case the top run ends after the breaking line while the bottom run ends before the breaking line. In this case it is possible that the top run colour will return and the previous colour will be restored and the top run will continue. Therefore we don’t create a run yet.
The 5 th is when the top and bottom run ends exactly at a breaking line, case is similar two the 3 rd case, and as result an output run should be created.
In the 6 th is similar to the 4 th and the same reasoning apply.
In the 7 th case the top run ends at a breaking line but the bottom run continues. In this case no output run is created and the merge process continues.
In the 1 st case we need to create a run at each breaking line, the fate of the last segment is still unknown.
In the 2 nd case when the bottom run ends at a breaking line leaves us with another unclosed run since the bottom line change colour, and it is possible that it will change colour two the top line colour.
The 3 rd case is just like the 2 nd as we still don’t know how the segment will end.
The 4 th case is the same.
The 5 th case ditto.
Cohen algorithm for digital image rotation is a source to destination algorithm. As it takes each of the original image pixels and put it in the destination image. One can look at this algorithm as taking imaginary lines that passes trough the centre of the pixels of the top horizontal line and the centre of the pixels of the left vertical line, rotate these lines and the use Bresenham algorithm in order to create parallel filling pattern, as shown in the next picture.
The Cohen algorithm can be described by the next equation. Where for small θ the multiplication result approximate a rotation matrix. And therefore Cohen's algorithm is suitable for small angles only, where it has a marginal speed advantage.
From this equation one learn that there is a need to scale down each line by a factor of the sinus of rotation angle and to scale up the vertical dimension of the image by a factor of the secant of the rotation angle. Scaling up an image in the vertical dimension can be done by replicating some of the input lines, while scaling down a line can be done by deleting pixels from lines. In order to delete pixels from input line in linear time an auxiliary array "outcol" that maps each input column to output columns will be used. Both the scale up and the calculation of the "octcol" array can be done using Bresenham, DDA or any other algorithm of choice. The modified algorithm scales correctly the input image and does it in linear time, but it is irreversible. The irreversibility is a direct consequence of the scale down operation that might cause small runs to disappear.