The document appears to be a presentation by Kirti Verma, who holds the positions of AP and CSE at LNCTE. The presentation does not provide any other details about its content or purpose within the given text.
The document discusses key concepts related to process management in operating systems. It describes that an OS executes programs as processes, which can be in various states like running, waiting, ready etc. It also explains process control blocks that contain details of a process like state, registers, scheduling info etc. The document discusses process scheduling and synchronization techniques used by the OS to share CPU and other resources between multiple processes. It describes mechanisms for process creation, termination and interprocess communication using shared memory and message passing.
This document provides an introduction to operating systems. It discusses what an operating system is, its key functions such as process management, memory management, file management, device management, and security. It describes the evolution of operating systems from early batch systems to modern multiprogramming, time-sharing, and distributed systems. Popular types of operating systems are also outlined, including desktop, server, mobile, and embedded operating systems. Key topics like kernels, system calls, computer architecture, and user interfaces are summarized as well.
L-1 BCE computer fundamentals final kirti.pptKirti Verma
The document defines a computer and describes its key advantages such as speed, accuracy, storage capability, diligence, and versatility. It then discusses some disadvantages like lack of intelligence, dependency on humans, and lack of feelings. The document also provides overviews of several topics related to computing including e-business, bioinformatics, healthcare applications, remote sensing, geographic information systems, meteorology/climatology, and computer gaming. Finally, it describes the fundamental components of a computer including the CPU, memory subsystem, I/O subsystem, and how they are connected via buses. It provides details on registers, instruction format, and the instruction cycle.
C++ has several built-in data types that determine how data is stored and operated on in a program. These include integer types like int for whole numbers, floating point types like float and double for decimal numbers, character type char for single characters, and string type for arrays of characters. C++ also allows user-defined data types for structured data through the use of classes, structures, unions and enumerations.
Prof. Kirti Verma is a professor in the Computer Science and Engineering department at LNCT University in Bhopal, India. The document provides the name and department of Prof. Kirti Verma at LNCT University in Bhopal.
The document discusses algorithms and flowcharts. It defines an algorithm as an ordered sequence of steps to solve a problem and notes that algorithms go through problem solving and implementation phases. Pseudocode is used to develop algorithms, which are then represented visually using flowcharts. The document outlines common flowchart symbols and provides examples of algorithms and corresponding flowcharts to calculate grades, convert between units of length, and calculate an area. It also discusses complexity analysis of algorithms in terms of time and space.
The document discusses several programming paradigms including imperative, object-oriented, and declarative paradigms. Imperative programming uses procedures and functions to manipulate data, exemplified by languages like C and Pascal. Object-oriented programming revolves around objects and classes, promoting concepts like inheritance and encapsulation in languages such as Java and C++. Declarative programming treats computation as the evaluation of mathematical functions, emphasizing immutability and pure functions in languages like Haskell and Lisp. The document also outlines the six phases of the program development life cycle: problem definition, problem analysis, algorithm development, coding and documentation, testing and debugging, and maintenance.
The document discusses key concepts related to process management in operating systems. It describes that an OS executes programs as processes, which can be in various states like running, waiting, ready etc. It also explains process control blocks that contain details of a process like state, registers, scheduling info etc. The document discusses process scheduling and synchronization techniques used by the OS to share CPU and other resources between multiple processes. It describes mechanisms for process creation, termination and interprocess communication using shared memory and message passing.
This document provides an introduction to operating systems. It discusses what an operating system is, its key functions such as process management, memory management, file management, device management, and security. It describes the evolution of operating systems from early batch systems to modern multiprogramming, time-sharing, and distributed systems. Popular types of operating systems are also outlined, including desktop, server, mobile, and embedded operating systems. Key topics like kernels, system calls, computer architecture, and user interfaces are summarized as well.
L-1 BCE computer fundamentals final kirti.pptKirti Verma
The document defines a computer and describes its key advantages such as speed, accuracy, storage capability, diligence, and versatility. It then discusses some disadvantages like lack of intelligence, dependency on humans, and lack of feelings. The document also provides overviews of several topics related to computing including e-business, bioinformatics, healthcare applications, remote sensing, geographic information systems, meteorology/climatology, and computer gaming. Finally, it describes the fundamental components of a computer including the CPU, memory subsystem, I/O subsystem, and how they are connected via buses. It provides details on registers, instruction format, and the instruction cycle.
C++ has several built-in data types that determine how data is stored and operated on in a program. These include integer types like int for whole numbers, floating point types like float and double for decimal numbers, character type char for single characters, and string type for arrays of characters. C++ also allows user-defined data types for structured data through the use of classes, structures, unions and enumerations.
Prof. Kirti Verma is a professor in the Computer Science and Engineering department at LNCT University in Bhopal, India. The document provides the name and department of Prof. Kirti Verma at LNCT University in Bhopal.
The document discusses algorithms and flowcharts. It defines an algorithm as an ordered sequence of steps to solve a problem and notes that algorithms go through problem solving and implementation phases. Pseudocode is used to develop algorithms, which are then represented visually using flowcharts. The document outlines common flowchart symbols and provides examples of algorithms and corresponding flowcharts to calculate grades, convert between units of length, and calculate an area. It also discusses complexity analysis of algorithms in terms of time and space.
The document discusses several programming paradigms including imperative, object-oriented, and declarative paradigms. Imperative programming uses procedures and functions to manipulate data, exemplified by languages like C and Pascal. Object-oriented programming revolves around objects and classes, promoting concepts like inheritance and encapsulation in languages such as Java and C++. Declarative programming treats computation as the evaluation of mathematical functions, emphasizing immutability and pure functions in languages like Haskell and Lisp. The document also outlines the six phases of the program development life cycle: problem definition, problem analysis, algorithm development, coding and documentation, testing and debugging, and maintenance.
This document provides an overview of computer networks. It begins by defining a computer network as interconnecting two or more computer systems or peripheral devices to enable communication and sharing of resources. The key components of a network are identified as computers, cables, network interface cards, connecting devices, networking operating systems, and protocol suites. Advantages of networking include sharing hardware and software, increasing productivity through file sharing, backups, cost effectiveness, and saving time. Disadvantages include high installation costs, required administration time, single point of failure risk, cable faults interrupting connectivity, and security risks from hackers that require firewalls and antivirus software. The document discusses peer-to-peer and client-server network architectures and covers switching techniques like circuit
The document discusses the benefits of exercise for mental health. Regular physical activity can help reduce anxiety and depression and improve mood and cognitive functioning. Exercise boosts blood flow, releases endorphins, and promotes changes in the brain which help regulate emotions and stress levels.
Computer security involves protecting computing systems and data from theft or damage. It ensures confidentiality, integrity, and availability of data. Common computer security threats include unauthorized access, hackers, viruses, and social engineering. Antivirus software, firewalls, and keeping systems updated help enhance security. Laws also aim to prevent cybercrimes like privacy violations, identity theft, and electronic funds transfer fraud. Overall computer security requires technical safeguards and vigilance from users.
NumPy is a Python library that provides multidimensional arrays and matrices for numerical computing along with high-level mathematical functions to operate on these arrays. NumPy arrays can represent vectors, matrices, images, and tensors. NumPy allows fast numerical computing by taking advantage of optimized low-level C/C++ implementations and parallel computing on multicore processors. Common operations like element-wise array arithmetic and universal functions are much faster with NumPy than with native Python.
Pandas Dataframe reading data Kirti final.pptxKirti Verma
Pandas is a Python library used for data manipulation and analysis. It provides data structures like Series and DataFrames that make working with structured data easy. A DataFrame is a two-dimensional data structure that can store data of different types in columns. DataFrames can be created from dictionaries, lists, CSV files, JSON files and other sources. They allow indexing, selecting, adding and deleting of rows and columns. Pandas provides useful methods for data cleaning, manipulation and analysis tasks on DataFrames.
L 8 introduction to machine learning final kirti.pptxKirti Verma
Machine learning is the study of algorithms that improve performance on tasks based on experience. There are different types of machine learning including supervised learning (classification and regression), unsupervised learning (clustering), and reinforcement learning. Machine learning has many applications such as autonomous vehicles, speech recognition, computer vision, and bioinformatics. Deep learning is a new area of machine learning using neural networks that has achieved state-of-the-art results in areas like speech recognition and computer vision.
The document discusses the benefits of exercise for mental health. Regular physical activity can help reduce anxiety and depression and improve mood and cognitive functioning. Exercise boosts blood flow and levels of serotonin and endorphins which elevate mood and may help prevent mental illness.
This document discusses machine learning tasks, techniques, and performance metrics. It describes two main types of machine learning tasks: predictive tasks which predict unknown future values, and descriptive tasks which find patterns in past data. It outlines techniques for classification, clustering, association rule discovery, sequential pattern discovery, and regression. The document also defines common performance metrics for machine learning like accuracy, precision, recall, F1-score, and the receiver operating characteristic curve. It provides a confusion matrix to define true positives, false positives, true negatives, and false negatives.
Introduction to python history and platformsKirti Verma
This document provides an introduction to Python and discusses popular tools used in data science, the evolution of Python, advantages of using Python, coding environments including Integrated Development Environments (IDEs) like PyCharm, Jupyter Notebook, and Spyder. It describes features of these IDEs and how they can be used for coding, debugging, and data analysis in Python.
Informed Search Techniques new kirti L 8.pptxKirti Verma
This document discusses various informed search techniques, including generate-and-test, hill climbing, best-first search, A* algorithm, and AO* algorithm. It provides details on the algorithms of hill climbing (simple, steepest-ascent, stochastic), best-first search, A*, and AO*, including their steps, advantages, and disadvantages. Examples are given to illustrate the workings of best-first search and A* on problems. The key differences between A* and AO* are that AO* may not find an optimal solution but uses less memory than A* and cannot get stuck in loops.
Production systems are computer programs that use rules to provide artificial intelligence. A production system consists of a set of condition-action rules, one or more knowledge databases, a rule applier that implements the control strategy, and a mechanism for resolving conflicts. There are several types of production systems including monotonic, partially commutative, non-monotonic, and commutative systems which differ in how rule application can affect later rule applications and the importance of rule application order. Monotonic systems never prevent later rule applications while non-monotonic systems can change direction as the knowledge base increases.
Breath first Search and Depth first searchKirti Verma
The document discusses graph traversal algorithms depth-first search (DFS) and breadth-first search (BFS). DFS uses a stack and traverses deeper nodes before shallower ones, outputting different traversal orders depending on the starting node. BFS uses a queue and traverses all neighbors of a node before moving to the next level, always outputting the same traversal order. Examples are given of applying DFS and BFS to a sample graph. Applications of the algorithms include computing distances, checking for cycles, and determining reachability between nodes.
The document provides an overview of the Python programming language. It outlines the presentation which includes topics like Python overview, data types, control structures, input/output, functions, file handling, exceptions, modules, classes, examples comparing Python and Java, and useful tools. It then delves into more details on each of these topics, providing information on Python's history, versions, features, syntax, variables, statements, indentation and data types. It also discusses who uses Python and for what purposes.
Computer Fundamentals Input and Output devicesKirti Verma
Peripheral devices that allow communication between the computer and outside world are called input/output devices. Input devices supply data and programs to the computer and include keyboards, mice, scanners, microphones. Output devices allow the computer to communicate information to users and include printers, monitors, speakers. Common input devices described are keyboards, mice, scanners, microphones. Common output devices described are printers, monitors, and speakers.
#Data communication #transmission medias
Here is a presentation about transmission medias used in Data communication.
for such more presentation kindly visit my profile and youtube channel TECHISEASY
#network devices #computer network
hi guys,
here is a presentation about network devices.
for more computer network ppt , refer my profile.
you can also visit my YouTube channel TECHISEASY for videos on this topic.
Freshworks Rethinks NoSQL for Rapid Scaling & Cost-EfficiencyScyllaDB
Freshworks creates AI-boosted business software that helps employees work more efficiently and effectively. Managing data across multiple RDBMS and NoSQL databases was already a challenge at their current scale. To prepare for 10X growth, they knew it was time to rethink their database strategy. Learn how they architected a solution that would simplify scaling while keeping costs under control.
This document provides an overview of computer networks. It begins by defining a computer network as interconnecting two or more computer systems or peripheral devices to enable communication and sharing of resources. The key components of a network are identified as computers, cables, network interface cards, connecting devices, networking operating systems, and protocol suites. Advantages of networking include sharing hardware and software, increasing productivity through file sharing, backups, cost effectiveness, and saving time. Disadvantages include high installation costs, required administration time, single point of failure risk, cable faults interrupting connectivity, and security risks from hackers that require firewalls and antivirus software. The document discusses peer-to-peer and client-server network architectures and covers switching techniques like circuit
The document discusses the benefits of exercise for mental health. Regular physical activity can help reduce anxiety and depression and improve mood and cognitive functioning. Exercise boosts blood flow, releases endorphins, and promotes changes in the brain which help regulate emotions and stress levels.
Computer security involves protecting computing systems and data from theft or damage. It ensures confidentiality, integrity, and availability of data. Common computer security threats include unauthorized access, hackers, viruses, and social engineering. Antivirus software, firewalls, and keeping systems updated help enhance security. Laws also aim to prevent cybercrimes like privacy violations, identity theft, and electronic funds transfer fraud. Overall computer security requires technical safeguards and vigilance from users.
NumPy is a Python library that provides multidimensional arrays and matrices for numerical computing along with high-level mathematical functions to operate on these arrays. NumPy arrays can represent vectors, matrices, images, and tensors. NumPy allows fast numerical computing by taking advantage of optimized low-level C/C++ implementations and parallel computing on multicore processors. Common operations like element-wise array arithmetic and universal functions are much faster with NumPy than with native Python.
Pandas Dataframe reading data Kirti final.pptxKirti Verma
Pandas is a Python library used for data manipulation and analysis. It provides data structures like Series and DataFrames that make working with structured data easy. A DataFrame is a two-dimensional data structure that can store data of different types in columns. DataFrames can be created from dictionaries, lists, CSV files, JSON files and other sources. They allow indexing, selecting, adding and deleting of rows and columns. Pandas provides useful methods for data cleaning, manipulation and analysis tasks on DataFrames.
L 8 introduction to machine learning final kirti.pptxKirti Verma
Machine learning is the study of algorithms that improve performance on tasks based on experience. There are different types of machine learning including supervised learning (classification and regression), unsupervised learning (clustering), and reinforcement learning. Machine learning has many applications such as autonomous vehicles, speech recognition, computer vision, and bioinformatics. Deep learning is a new area of machine learning using neural networks that has achieved state-of-the-art results in areas like speech recognition and computer vision.
The document discusses the benefits of exercise for mental health. Regular physical activity can help reduce anxiety and depression and improve mood and cognitive functioning. Exercise boosts blood flow and levels of serotonin and endorphins which elevate mood and may help prevent mental illness.
This document discusses machine learning tasks, techniques, and performance metrics. It describes two main types of machine learning tasks: predictive tasks which predict unknown future values, and descriptive tasks which find patterns in past data. It outlines techniques for classification, clustering, association rule discovery, sequential pattern discovery, and regression. The document also defines common performance metrics for machine learning like accuracy, precision, recall, F1-score, and the receiver operating characteristic curve. It provides a confusion matrix to define true positives, false positives, true negatives, and false negatives.
Introduction to python history and platformsKirti Verma
This document provides an introduction to Python and discusses popular tools used in data science, the evolution of Python, advantages of using Python, coding environments including Integrated Development Environments (IDEs) like PyCharm, Jupyter Notebook, and Spyder. It describes features of these IDEs and how they can be used for coding, debugging, and data analysis in Python.
Informed Search Techniques new kirti L 8.pptxKirti Verma
This document discusses various informed search techniques, including generate-and-test, hill climbing, best-first search, A* algorithm, and AO* algorithm. It provides details on the algorithms of hill climbing (simple, steepest-ascent, stochastic), best-first search, A*, and AO*, including their steps, advantages, and disadvantages. Examples are given to illustrate the workings of best-first search and A* on problems. The key differences between A* and AO* are that AO* may not find an optimal solution but uses less memory than A* and cannot get stuck in loops.
Production systems are computer programs that use rules to provide artificial intelligence. A production system consists of a set of condition-action rules, one or more knowledge databases, a rule applier that implements the control strategy, and a mechanism for resolving conflicts. There are several types of production systems including monotonic, partially commutative, non-monotonic, and commutative systems which differ in how rule application can affect later rule applications and the importance of rule application order. Monotonic systems never prevent later rule applications while non-monotonic systems can change direction as the knowledge base increases.
Breath first Search and Depth first searchKirti Verma
The document discusses graph traversal algorithms depth-first search (DFS) and breadth-first search (BFS). DFS uses a stack and traverses deeper nodes before shallower ones, outputting different traversal orders depending on the starting node. BFS uses a queue and traverses all neighbors of a node before moving to the next level, always outputting the same traversal order. Examples are given of applying DFS and BFS to a sample graph. Applications of the algorithms include computing distances, checking for cycles, and determining reachability between nodes.
The document provides an overview of the Python programming language. It outlines the presentation which includes topics like Python overview, data types, control structures, input/output, functions, file handling, exceptions, modules, classes, examples comparing Python and Java, and useful tools. It then delves into more details on each of these topics, providing information on Python's history, versions, features, syntax, variables, statements, indentation and data types. It also discusses who uses Python and for what purposes.
Computer Fundamentals Input and Output devicesKirti Verma
Peripheral devices that allow communication between the computer and outside world are called input/output devices. Input devices supply data and programs to the computer and include keyboards, mice, scanners, microphones. Output devices allow the computer to communicate information to users and include printers, monitors, speakers. Common input devices described are keyboards, mice, scanners, microphones. Common output devices described are printers, monitors, and speakers.
#Data communication #transmission medias
Here is a presentation about transmission medias used in Data communication.
for such more presentation kindly visit my profile and youtube channel TECHISEASY
#network devices #computer network
hi guys,
here is a presentation about network devices.
for more computer network ppt , refer my profile.
you can also visit my YouTube channel TECHISEASY for videos on this topic.
Freshworks Rethinks NoSQL for Rapid Scaling & Cost-EfficiencyScyllaDB
Freshworks creates AI-boosted business software that helps employees work more efficiently and effectively. Managing data across multiple RDBMS and NoSQL databases was already a challenge at their current scale. To prepare for 10X growth, they knew it was time to rethink their database strategy. Learn how they architected a solution that would simplify scaling while keeping costs under control.
Monitoring and Managing Anomaly Detection on OpenShift.pdfTosin Akinosho
Monitoring and Managing Anomaly Detection on OpenShift
Overview
Dive into the world of anomaly detection on edge devices with our comprehensive hands-on tutorial. This SlideShare presentation will guide you through the entire process, from data collection and model training to edge deployment and real-time monitoring. Perfect for those looking to implement robust anomaly detection systems on resource-constrained IoT/edge devices.
Key Topics Covered
1. Introduction to Anomaly Detection
- Understand the fundamentals of anomaly detection and its importance in identifying unusual behavior or failures in systems.
2. Understanding Edge (IoT)
- Learn about edge computing and IoT, and how they enable real-time data processing and decision-making at the source.
3. What is ArgoCD?
- Discover ArgoCD, a declarative, GitOps continuous delivery tool for Kubernetes, and its role in deploying applications on edge devices.
4. Deployment Using ArgoCD for Edge Devices
- Step-by-step guide on deploying anomaly detection models on edge devices using ArgoCD.
5. Introduction to Apache Kafka and S3
- Explore Apache Kafka for real-time data streaming and Amazon S3 for scalable storage solutions.
6. Viewing Kafka Messages in the Data Lake
- Learn how to view and analyze Kafka messages stored in a data lake for better insights.
7. What is Prometheus?
- Get to know Prometheus, an open-source monitoring and alerting toolkit, and its application in monitoring edge devices.
8. Monitoring Application Metrics with Prometheus
- Detailed instructions on setting up Prometheus to monitor the performance and health of your anomaly detection system.
9. What is Camel K?
- Introduction to Camel K, a lightweight integration framework built on Apache Camel, designed for Kubernetes.
10. Configuring Camel K Integrations for Data Pipelines
- Learn how to configure Camel K for seamless data pipeline integrations in your anomaly detection workflow.
11. What is a Jupyter Notebook?
- Overview of Jupyter Notebooks, an open-source web application for creating and sharing documents with live code, equations, visualizations, and narrative text.
12. Jupyter Notebooks with Code Examples
- Hands-on examples and code snippets in Jupyter Notebooks to help you implement and test anomaly detection models.
Dandelion Hashtable: beyond billion requests per second on a commodity serverAntonios Katsarakis
This slide deck presents DLHT, a concurrent in-memory hashtable. Despite efforts to optimize hashtables, that go as far as sacrificing core functionality, state-of-the-art designs still incur multiple memory accesses per request and block request processing in three cases. First, most hashtables block while waiting for data to be retrieved from memory. Second, open-addressing designs, which represent the current state-of-the-art, either cannot free index slots on deletes or must block all requests to do so. Third, index resizes block every request until all objects are copied to the new index. Defying folklore wisdom, DLHT forgoes open-addressing and adopts a fully-featured and memory-aware closed-addressing design based on bounded cache-line-chaining. This design offers lock-free index operations and deletes that free slots instantly, (2) completes most requests with a single memory access, (3) utilizes software prefetching to hide memory latencies, and (4) employs a novel non-blocking and parallel resizing. In a commodity server and a memory-resident workload, DLHT surpasses 1.6B requests per second and provides 3.5x (12x) the throughput of the state-of-the-art closed-addressing (open-addressing) resizable hashtable on Gets (Deletes).
For the full video of this presentation, please visit: https://www.edge-ai-vision.com/2024/06/how-axelera-ai-uses-digital-compute-in-memory-to-deliver-fast-and-energy-efficient-computer-vision-a-presentation-from-axelera-ai/
Bram Verhoef, Head of Machine Learning at Axelera AI, presents the “How Axelera AI Uses Digital Compute-in-memory to Deliver Fast and Energy-efficient Computer Vision” tutorial at the May 2024 Embedded Vision Summit.
As artificial intelligence inference transitions from cloud environments to edge locations, computer vision applications achieve heightened responsiveness, reliability and privacy. This migration, however, introduces the challenge of operating within the stringent confines of resource constraints typical at the edge, including small form factors, low energy budgets and diminished memory and computational capacities. Axelera AI addresses these challenges through an innovative approach of performing digital computations within memory itself. This technique facilitates the realization of high-performance, energy-efficient and cost-effective computer vision capabilities at the thin and thick edge, extending the frontier of what is achievable with current technologies.
In this presentation, Verhoef unveils his company’s pioneering chip technology and demonstrates its capacity to deliver exceptional frames-per-second performance across a range of standard computer vision networks typical of applications in security, surveillance and the industrial sector. This shows that advanced computer vision can be accessible and efficient, even at the very edge of our technological ecosystem.
[OReilly Superstream] Occupy the Space: A grassroots guide to engineering (an...Jason Yip
The typical problem in product engineering is not bad strategy, so much as “no strategy”. This leads to confusion, lack of motivation, and incoherent action. The next time you look for a strategy and find an empty space, instead of waiting for it to be filled, I will show you how to fill it in yourself. If you’re wrong, it forces a correction. If you’re right, it helps create focus. I’ll share how I’ve approached this in the past, both what works and lessons for what didn’t work so well.
The Microsoft 365 Migration Tutorial For Beginner.pptxoperationspcvita
This presentation will help you understand the power of Microsoft 365. However, we have mentioned every productivity app included in Office 365. Additionally, we have suggested the migration situation related to Office 365 and how we can help you.
You can also read: https://www.systoolsgroup.com/updates/office-365-tenant-to-tenant-migration-step-by-step-complete-guide/
For the full video of this presentation, please visit: https://www.edge-ai-vision.com/2024/06/temporal-event-neural-networks-a-more-efficient-alternative-to-the-transformer-a-presentation-from-brainchip/
Chris Jones, Director of Product Management at BrainChip , presents the “Temporal Event Neural Networks: A More Efficient Alternative to the Transformer” tutorial at the May 2024 Embedded Vision Summit.
The expansion of AI services necessitates enhanced computational capabilities on edge devices. Temporal Event Neural Networks (TENNs), developed by BrainChip, represent a novel and highly efficient state-space network. TENNs demonstrate exceptional proficiency in handling multi-dimensional streaming data, facilitating advancements in object detection, action recognition, speech enhancement and language model/sequence generation. Through the utilization of polynomial-based continuous convolutions, TENNs streamline models, expedite training processes and significantly diminish memory requirements, achieving notable reductions of up to 50x in parameters and 5,000x in energy consumption compared to prevailing methodologies like transformers.
Integration with BrainChip’s Akida neuromorphic hardware IP further enhances TENNs’ capabilities, enabling the realization of highly capable, portable and passively cooled edge devices. This presentation delves into the technical innovations underlying TENNs, presents real-world benchmarks, and elucidates how this cutting-edge approach is positioned to revolutionize edge AI across diverse applications.
HCL Notes and Domino License Cost Reduction in the World of DLAUpanagenda
Webinar Recording: https://www.panagenda.com/webinars/hcl-notes-and-domino-license-cost-reduction-in-the-world-of-dlau/
The introduction of DLAU and the CCB & CCX licensing model caused quite a stir in the HCL community. As a Notes and Domino customer, you may have faced challenges with unexpected user counts and license costs. You probably have questions on how this new licensing approach works and how to benefit from it. Most importantly, you likely have budget constraints and want to save money where possible. Don’t worry, we can help with all of this!
We’ll show you how to fix common misconfigurations that cause higher-than-expected user counts, and how to identify accounts which you can deactivate to save money. There are also frequent patterns that can cause unnecessary cost, like using a person document instead of a mail-in for shared mailboxes. We’ll provide examples and solutions for those as well. And naturally we’ll explain the new licensing model.
Join HCL Ambassador Marc Thomas in this webinar with a special guest appearance from Franz Walder. It will give you the tools and know-how to stay on top of what is going on with Domino licensing. You will be able lower your cost through an optimized configuration and keep it low going forward.
These topics will be covered
- Reducing license cost by finding and fixing misconfigurations and superfluous accounts
- How do CCB and CCX licenses really work?
- Understanding the DLAU tool and how to best utilize it
- Tips for common problem areas, like team mailboxes, functional/test users, etc
- Practical examples and best practices to implement right away
How to Interpret Trends in the Kalyan Rajdhani Mix Chart.pdfChart Kalyan
A Mix Chart displays historical data of numbers in a graphical or tabular form. The Kalyan Rajdhani Mix Chart specifically shows the results of a sequence of numbers over different periods.
Ivanti’s Patch Tuesday breakdown goes beyond patching your applications and brings you the intelligence and guidance needed to prioritize where to focus your attention first. Catch early analysis on our Ivanti blog, then join industry expert Chris Goettl for the Patch Tuesday Webinar Event. There we’ll do a deep dive into each of the bulletins and give guidance on the risks associated with the newly-identified vulnerabilities.
Skybuffer SAM4U tool for SAP license adoptionTatiana Kojar
Manage and optimize your license adoption and consumption with SAM4U, an SAP free customer software asset management tool.
SAM4U, an SAP complimentary software asset management tool for customers, delivers a detailed and well-structured overview of license inventory and usage with a user-friendly interface. We offer a hosted, cost-effective, and performance-optimized SAM4U setup in the Skybuffer Cloud environment. You retain ownership of the system and data, while we manage the ABAP 7.58 infrastructure, ensuring fixed Total Cost of Ownership (TCO) and exceptional services through the SAP Fiori interface.
Essentials of Automations: Exploring Attributes & Automation ParametersSafe Software
Building automations in FME Flow can save time, money, and help businesses scale by eliminating data silos and providing data to stakeholders in real-time. One essential component to orchestrating complex automations is the use of attributes & automation parameters (both formerly known as “keys”). In fact, it’s unlikely you’ll ever build an Automation without using these components, but what exactly are they?
Attributes & automation parameters enable the automation author to pass data values from one automation component to the next. During this webinar, our FME Flow Specialists will cover leveraging the three types of these output attributes & parameters in FME Flow: Event, Custom, and Automation. As a bonus, they’ll also be making use of the Split-Merge Block functionality.
You’ll leave this webinar with a better understanding of how to maximize the potential of automations by making use of attributes & automation parameters, with the ultimate goal of setting your enterprise integration workflows up on autopilot.
5th LF Energy Power Grid Model Meet-up SlidesDanBrown980551
5th Power Grid Model Meet-up
It is with great pleasure that we extend to you an invitation to the 5th Power Grid Model Meet-up, scheduled for 6th June 2024. This event will adopt a hybrid format, allowing participants to join us either through an online Mircosoft Teams session or in person at TU/e located at Den Dolech 2, Eindhoven, Netherlands. The meet-up will be hosted by Eindhoven University of Technology (TU/e), a research university specializing in engineering science & technology.
Power Grid Model
The global energy transition is placing new and unprecedented demands on Distribution System Operators (DSOs). Alongside upgrades to grid capacity, processes such as digitization, capacity optimization, and congestion management are becoming vital for delivering reliable services.
Power Grid Model is an open source project from Linux Foundation Energy and provides a calculation engine that is increasingly essential for DSOs. It offers a standards-based foundation enabling real-time power systems analysis, simulations of electrical power grids, and sophisticated what-if analysis. In addition, it enables in-depth studies and analysis of the electrical power grid’s behavior and performance. This comprehensive model incorporates essential factors such as power generation capacity, electrical losses, voltage levels, power flows, and system stability.
Power Grid Model is currently being applied in a wide variety of use cases, including grid planning, expansion, reliability, and congestion studies. It can also help in analyzing the impact of renewable energy integration, assessing the effects of disturbances or faults, and developing strategies for grid control and optimization.
What to expect
For the upcoming meetup we are organizing, we have an exciting lineup of activities planned:
-Insightful presentations covering two practical applications of the Power Grid Model.
-An update on the latest advancements in Power Grid -Model technology during the first and second quarters of 2024.
-An interactive brainstorming session to discuss and propose new feature requests.
-An opportunity to connect with fellow Power Grid Model enthusiasts and users.