The document discusses different techniques for improving the efficiency of union-find algorithms, including union-by-size, path compression, and union-by-height. Union-by-size works by making the root of the smaller tree the child of the larger tree during a union operation, keeping tree heights small. Path compression further optimizes find operations by updating the parent pointers along the search path. Together these optimizations allow union-find algorithms to run in almost linear time for practical purposes.
Union is clearly a constant time operation. Running time of find(i) is proportional to the height of the tree containing node i.If unions are done by weight (size), the depth of any element is never greater than log2n.
Mergesort is a divide and conquer algorithm that does exactly that. It splits the list in half
Mergesorts the two halves Then merges the two sorted halves together Mergesort can be implemented recursively
Using Machine Learning in Metabolic System Analysis: Explanation and PredictionChun-Ming Chang
- A pilot project to analyze metabolic pathways in point of view of machine learning researchers
- This work is collaborated with Metabolic Engineering and Synthetic Biology Laboratory, UCLA, which is supervised by Prof. James C. Liao, website: http://www.seas.ucla.edu/liao_lab/team.html
Union is clearly a constant time operation. Running time of find(i) is proportional to the height of the tree containing node i.If unions are done by weight (size), the depth of any element is never greater than log2n.
Mergesort is a divide and conquer algorithm that does exactly that. It splits the list in half
Mergesorts the two halves Then merges the two sorted halves together Mergesort can be implemented recursively
Using Machine Learning in Metabolic System Analysis: Explanation and PredictionChun-Ming Chang
- A pilot project to analyze metabolic pathways in point of view of machine learning researchers
- This work is collaborated with Metabolic Engineering and Synthetic Biology Laboratory, UCLA, which is supervised by Prof. James C. Liao, website: http://www.seas.ucla.edu/liao_lab/team.html
The process of sorting has been one of those problems in computer science that have been around almost from the beginning of time. For example, the tabulating machine (IBM, 1890’s Census) was the first early data processing
unit able to sort data cards for people in the USA. After all the first census took around 7 years to be finished, making all the stored data obsolete. Therefore, the need for sorting. It is more, studying the different techniques of sorting
allows for a more precise introduction of the algorithm concept. Some corrections were done to a bound for the max-heapfy... My deepest excuses for the mistakes!!!
Existing parallel digging calculations for visit itemsets do not have a component that empowers programmed parallelization, stack adjusting, information conveyance, and adaptation to non-critical failure on substantial bunches. As an answer for this issue, we outline a parallel incessant itemsets mining calculation called FiDoop utilizing the MapReduce programming model. To accomplish compacted capacity and abstain from building contingent example bases, FiDoop joins the incessant things Ultrametric tree, as opposed to ordinary FP trees. In FiDoop, three MapReduce occupations are actualized to finish the mining undertaking. In the essential third MapReduce work, the mappers autonomously disintegrate itemsets, the reducers perform mix activities by building little Ultrametric trees, and the genuine mining of these trees independently. We actualize FiDoop on our in-house Hadoop group. We demonstrate that FiDoop on the group is touchy to information dissemination and measurements, in light of the fact that itemsets with various lengths have diverse decay and development costs. To enhance FiDoop's execution, we build up a workload adjust metric to quantify stack adjust over the group's registering hubs. We create FiDoop-HD, an augmentation of FiDoop, to accelerate the digging execution for high-dimensional information investigation. Broad tests utilizing genuine heavenly phantom information exhibit that our proposed arrangement is productive and versatile.
The answer is that, yes, we don’t want the function to change the parameter, but neither do we want to use up time and memory creating and storing an entire copy of it. So, we make the original object available to the called function by using pass-by-reference. We also mark it constant so that the function will not alter it, even by mistake.
The process of sorting has been one of those problems in computer science that have been around almost from the beginning of time. For example, the tabulating machine (IBM, 1890’s Census) was the first early data processing
unit able to sort data cards for people in the USA. After all the first census took around 7 years to be finished, making all the stored data obsolete. Therefore, the need for sorting. It is more, studying the different techniques of sorting
allows for a more precise introduction of the algorithm concept. Some corrections were done to a bound for the max-heapfy... My deepest excuses for the mistakes!!!
Existing parallel digging calculations for visit itemsets do not have a component that empowers programmed parallelization, stack adjusting, information conveyance, and adaptation to non-critical failure on substantial bunches. As an answer for this issue, we outline a parallel incessant itemsets mining calculation called FiDoop utilizing the MapReduce programming model. To accomplish compacted capacity and abstain from building contingent example bases, FiDoop joins the incessant things Ultrametric tree, as opposed to ordinary FP trees. In FiDoop, three MapReduce occupations are actualized to finish the mining undertaking. In the essential third MapReduce work, the mappers autonomously disintegrate itemsets, the reducers perform mix activities by building little Ultrametric trees, and the genuine mining of these trees independently. We actualize FiDoop on our in-house Hadoop group. We demonstrate that FiDoop on the group is touchy to information dissemination and measurements, in light of the fact that itemsets with various lengths have diverse decay and development costs. To enhance FiDoop's execution, we build up a workload adjust metric to quantify stack adjust over the group's registering hubs. We create FiDoop-HD, an augmentation of FiDoop, to accelerate the digging execution for high-dimensional information investigation. Broad tests utilizing genuine heavenly phantom information exhibit that our proposed arrangement is productive and versatile.
The answer is that, yes, we don’t want the function to change the parameter, but neither do we want to use up time and memory creating and storing an entire copy of it. So, we make the original object available to the called function by using pass-by-reference. We also mark it constant so that the function will not alter it, even by mistake.
DevOps and Testing slides at DASA ConnectKari Kakkonen
My and Rik Marselis slides at 30.5.2024 DASA Connect conference. We discuss about what is testing, then what is agile testing and finally what is Testing in DevOps. Finally we had lovely workshop with the participants trying to find out different ways to think about quality and testing in different parts of the DevOps infinity loop.
Builder.ai Founder Sachin Dev Duggal's Strategic Approach to Create an Innova...Ramesh Iyer
In today's fast-changing business world, Companies that adapt and embrace new ideas often need help to keep up with the competition. However, fostering a culture of innovation takes much work. It takes vision, leadership and willingness to take risks in the right proportion. Sachin Dev Duggal, co-founder of Builder.ai, has perfected the art of this balance, creating a company culture where creativity and growth are nurtured at each stage.
Connector Corner: Automate dynamic content and events by pushing a buttonDianaGray10
Here is something new! In our next Connector Corner webinar, we will demonstrate how you can use a single workflow to:
Create a campaign using Mailchimp with merge tags/fields
Send an interactive Slack channel message (using buttons)
Have the message received by managers and peers along with a test email for review
But there’s more:
In a second workflow supporting the same use case, you’ll see:
Your campaign sent to target colleagues for approval
If the “Approve” button is clicked, a Jira/Zendesk ticket is created for the marketing design team
But—if the “Reject” button is pushed, colleagues will be alerted via Slack message
Join us to learn more about this new, human-in-the-loop capability, brought to you by Integration Service connectors.
And...
Speakers:
Akshay Agnihotri, Product Manager
Charlie Greenberg, Host
GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using Deplo...James Anderson
Effective Application Security in Software Delivery lifecycle using Deployment Firewall and DBOM
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.
The software team must secure its software delivery process to avoid vulnerability and security breaches. This needs to be achieved with existing tool chains and without extensive rework of the delivery processes. This talk will present strategies and techniques for providing visibility into the true risk of the existing vulnerabilities, preventing the introduction of security issues in the software, resolving vulnerabilities in production environments quickly, and capturing the deployment bill of materials (DBOM).
Speakers:
Bob Boule
Robert Boule is a technology enthusiast with PASSION for technology and making things work along with a knack for helping others understand how things work. He comes with around 20 years of solution engineering experience in application security, software continuous delivery, and SaaS platforms. He is known for his dynamic presentations in CI/CD and application security integrated in software delivery lifecycle.
Gopinath Rebala
Gopinath Rebala is the CTO of OpsMx, where he has overall responsibility for the machine learning and data processing architectures for Secure Software Delivery. Gopi also has a strong connection with our customers, leading design and architecture for strategic implementations. Gopi is a frequent speaker and well-known leader in continuous delivery and integrating security into software delivery.
State of ICS and IoT Cyber Threat Landscape Report 2024 previewPrayukth K V
The IoT and OT threat landscape report has been prepared by the Threat Research Team at Sectrio using data from Sectrio, cyber threat intelligence farming facilities spread across over 85 cities around the world. In addition, Sectrio also runs AI-based advanced threat and payload engagement facilities that serve as sinks to attract and engage sophisticated threat actors, and newer malware including new variants and latent threats that are at an earlier stage of development.
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
Expansion of bot farms – how, where, and why
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/
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
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
Smart TV Buyer Insights Survey 2024 by 91mobiles.pdf91mobiles
91mobiles recently conducted a Smart TV Buyer Insights Survey in which we asked over 3,000 respondents about the TV they own, aspects they look at on a new TV, and their TV buying preferences.
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
PHP Frameworks: I want to break free (IPC Berlin 2024)Ralf Eggert
In this presentation, we examine the challenges and limitations of relying too heavily on PHP frameworks in web development. We discuss the history of PHP and its frameworks to understand how this dependence has evolved. The focus will be on providing concrete tips and strategies to reduce reliance on these frameworks, based on real-world examples and practical considerations. The goal is to equip developers with the skills and knowledge to create more flexible and future-proof web applications. We'll explore the importance of maintaining autonomy in a rapidly changing tech landscape and how to make informed decisions in PHP development.
This talk is aimed at encouraging a more independent approach to using PHP frameworks, moving towards a more flexible and future-proof approach to PHP development.
LF Energy Webinar: Electrical Grid Modelling and Simulation Through PowSyBl -...DanBrown980551
Do you want to learn how to model and simulate an electrical network from scratch in under an hour?
Then welcome to this PowSyBl workshop, hosted by Rte, the French Transmission System Operator (TSO)!
During the webinar, you will discover the PowSyBl ecosystem as well as handle and study an electrical network through an interactive Python notebook.
PowSyBl is an open source project hosted by LF Energy, which offers a comprehensive set of features for electrical grid modelling and simulation. Among other advanced features, PowSyBl provides:
- A fully editable and extendable library for grid component modelling;
- Visualization tools to display your network;
- Grid simulation tools, such as power flows, security analyses (with or without remedial actions) and sensitivity analyses;
The framework is mostly written in Java, with a Python binding so that Python developers can access PowSyBl functionalities as well.
What you will learn during the webinar:
- For beginners: discover PowSyBl's functionalities through a quick general presentation and the notebook, without needing any expert coding skills;
- For advanced developers: master the skills to efficiently apply PowSyBl functionalities to your real-world scenarios.
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