This document discusses system integration options for the Higher Education Management Information System (HEMIS) in Afghanistan. It provides an overview of HEMIS, noting that it currently has two functional modules. It then discusses the challenges of integrating the 10 new HEMIS modules being developed, as well as other related systems. The document explores two common integration architectures - hub-and-spoke and bus - and four levels of integration - data, application interface, method, and user interface. It aims to determine the most feasible integration approach for HEMIS given its modular development.
IXL is an online resource that contains many math practice activities aligned to Common Core standards. Teachers can assign specific standards for students to practice, and students can also practice at home. Khan Academy provides hundreds of math tutorials from kindergarten through college, along with practice problems and hints. It is useful for homework help and for parents helping their children learn. Smart Exchange allows teachers to share and modify Smartboard lessons. Shared files can be customized for different classes. Smartboard activities benefit students with disabilities by enabling direct interaction. Math Goodies is an online notebook for students with built-in interactive practice problems. It contains visual examples and is suitable for students who have difficulty copying from the board.
This math test taking checklist provides students with steps to follow when taking a math test, including reading directions and questions carefully, determining what the question is asking, selecting a problem-solving strategy, showing all work, checking answers, and choosing the best answer for multiple choice or writing a complete response for other questions. The checklist aims to help students successfully complete math test problems by following an organized process.
This document provides instructions for adding and subtracting fractions. It begins with a review of simplifying fractions by making the numerator and denominator numbers as small as possible while maintaining the original value. It then explains how to find a common denominator by finding the least common multiple of the denominators and multiplying the numerator and denominator by the same number. Finally, it notes that once fractions have a common denominator, you can add or subtract the numerators and simplify the final answer.
Strategies for solving math word problemsmwinfield1
This document discusses several different methods for solving math word problems:
- The Toolbox Method allows students to choose from multiple strategies to find the one that works best for them.
- The CUBES Method is well-suited for visual learners as it has them dissect and analyze the word problem.
- The STEPS Method provides students with a sequential structure to follow when solving word problems.
- The Step by Step Method also provides a step-by-step process and works well for logical, sequential thinkers.
The document provides an overview of solving word problems, explaining the process as reading the problem, representing unknowns with variables, relating the unknowns to given values, writing an equation, solving the equation, and proving the answer. It also defines odd, even, and consecutive numbers and provides examples of representing and solving word problems involving these types of numbers.
Little Red Riding Hood needs to walk 5 miles to get to her destination. The document shows the time it would take her to walk 5 miles at different speeds: 5 hours if walking at 1 mile per hour, 1 hour if walking at 5 miles per hour, and 0.5 hours or 30 minutes if running at 10 miles per hour. The algebra expression that calculates time for any speed is 5 divided by the speed (5/S). Word problems are translated into algebra expressions so they can be solved mathematically. Examples of key words that translate into different algebra operations are provided.
Mr. Santillana, a mathematics teacher, was traveling by bus with his family when the bus conductor questioned the age of his daughter to verify her half-fare ticket. Irritated, Mr. Santillana confused the conductor with his answer regarding her age. The problem can be solved by representing the present ages of Mr. Santillana, his mother, wife, son, and daughter with variables and equations relating their ages based on the information that the mother's age is the total of all their ages, which is now 69 years old. Solving the equation reveals that the daughter is 6 years old.
The document provides tips for solving math word problems, including reading problems carefully, underlining numbers, ordering numbers, circling key words, choosing the correct operation based on keywords, and using order of operations mnemonics like PEMDAS. The overall goal is to break down word problems step-by-step to determine the correct mathematical operations and solve for the answer.
IXL is an online resource that contains many math practice activities aligned to Common Core standards. Teachers can assign specific standards for students to practice, and students can also practice at home. Khan Academy provides hundreds of math tutorials from kindergarten through college, along with practice problems and hints. It is useful for homework help and for parents helping their children learn. Smart Exchange allows teachers to share and modify Smartboard lessons. Shared files can be customized for different classes. Smartboard activities benefit students with disabilities by enabling direct interaction. Math Goodies is an online notebook for students with built-in interactive practice problems. It contains visual examples and is suitable for students who have difficulty copying from the board.
This math test taking checklist provides students with steps to follow when taking a math test, including reading directions and questions carefully, determining what the question is asking, selecting a problem-solving strategy, showing all work, checking answers, and choosing the best answer for multiple choice or writing a complete response for other questions. The checklist aims to help students successfully complete math test problems by following an organized process.
This document provides instructions for adding and subtracting fractions. It begins with a review of simplifying fractions by making the numerator and denominator numbers as small as possible while maintaining the original value. It then explains how to find a common denominator by finding the least common multiple of the denominators and multiplying the numerator and denominator by the same number. Finally, it notes that once fractions have a common denominator, you can add or subtract the numerators and simplify the final answer.
Strategies for solving math word problemsmwinfield1
This document discusses several different methods for solving math word problems:
- The Toolbox Method allows students to choose from multiple strategies to find the one that works best for them.
- The CUBES Method is well-suited for visual learners as it has them dissect and analyze the word problem.
- The STEPS Method provides students with a sequential structure to follow when solving word problems.
- The Step by Step Method also provides a step-by-step process and works well for logical, sequential thinkers.
The document provides an overview of solving word problems, explaining the process as reading the problem, representing unknowns with variables, relating the unknowns to given values, writing an equation, solving the equation, and proving the answer. It also defines odd, even, and consecutive numbers and provides examples of representing and solving word problems involving these types of numbers.
Little Red Riding Hood needs to walk 5 miles to get to her destination. The document shows the time it would take her to walk 5 miles at different speeds: 5 hours if walking at 1 mile per hour, 1 hour if walking at 5 miles per hour, and 0.5 hours or 30 minutes if running at 10 miles per hour. The algebra expression that calculates time for any speed is 5 divided by the speed (5/S). Word problems are translated into algebra expressions so they can be solved mathematically. Examples of key words that translate into different algebra operations are provided.
Mr. Santillana, a mathematics teacher, was traveling by bus with his family when the bus conductor questioned the age of his daughter to verify her half-fare ticket. Irritated, Mr. Santillana confused the conductor with his answer regarding her age. The problem can be solved by representing the present ages of Mr. Santillana, his mother, wife, son, and daughter with variables and equations relating their ages based on the information that the mother's age is the total of all their ages, which is now 69 years old. Solving the equation reveals that the daughter is 6 years old.
The document provides tips for solving math word problems, including reading problems carefully, underlining numbers, ordering numbers, circling key words, choosing the correct operation based on keywords, and using order of operations mnemonics like PEMDAS. The overall goal is to break down word problems step-by-step to determine the correct mathematical operations and solve for the answer.
Towards Enterprise Interoperability Service UtilitiesBrian Elvesæter
This document discusses the development of baseline enterprise interoperability (EI) services as part of the COIN project. It provides an overview of EI challenges and proposes an EI services framework. A state-of-the-art analysis of existing EI tools from FP6 projects is presented. Based on this, 11 proposed baseline EI services across various categories like model-driven, semantic mediation, and data interoperability are described. The benefits of these services for reducing integration costs and enabling collaboration are highlighted. The conclusions discuss positioning the COIN platform to offer these EI services as utilities according to the Software-as-a-Service model.
The document discusses bridging the gap between current operating systems and AI-integrated systems, including transforming from process-driven to data-driven enterprises and the challenges of big data science initiatives; it also provides two case studies on using artificial intelligence for subjective analytics on social media and developing chatbots.
This document discusses accelerating the development of analytic models by subject matter experts (SMEs) at ABB. It describes the traditional process where SMEs worked with developers to create models, which took months to integrate into solutions. The new approach allows SMEs to independently create and evolve models using a drag-and-drop workbench, with models integrated into solutions within minutes by developers. This closes the gaps between SME knowledge and solutions by empowering SMEs as end-user developers and decoupling model development from solution development lifecycles.
Agent based web service communicating different is’s and platformsIAEME Publication
This document presents an agent-based approach to enabling communication between two independent information systems (IS) running on different platforms and operating systems. It proposes using agent-based web services to first discover the architecture of each OS, and then enable communication. Specifically, it analyzes how to determine if a Windows 7 system is 32-bit or 64-bit, and introduces three web service models - one for a legacy 32-bit IS without security, one for a new 64-bit IS with security features, and one that detects the platform and routes requests. The overall goal is integrating old and new systems with minimal performance impact and cost.
Internet of Things (IoT) as a Driver for the Circular Economy – Innovation, Q...Erik G. Hansen
Aufgrund marktlicher und regulatorischer Veränderungen stehen Industrien zunehmend vor der Herausforderung Wertschöpfungsketten vom Ressourcenabbau bis zur Produktentsorgung zu gestalten. Darauf basierend fordert das auch von der europäischen Union vorangetriebene Konzept der „Circular Economy“ Produkte nicht nur zu recyceln, sondern eine verbesserte Ausbeute der Produkte (oder Komponenten) durch Services wie Sharing, Reuse, Repair und Remanufacturing zu erreichen. Hierfür birgt die zunehmende Digitalisierung von Produkten und Prozessen und deren Vernetzung im Internet of Things (IoT) neue Innovationschancen. So kann die Qualität von Smart Products durch Fernüberwachung, -wartung und -identifikation erhöht werden. Als Bestandteil von servicebasierten Geschäftsmodellen, können Kunden per Smartphone Zugang zu einer flexiblen Produktnutzung erhalten. Ortung, Identifikation und digitales Gedächtnis kann die Produktrückführung vereinfachen. Organisatorische und sicherheitsbezogene Herausforderungen sind in der Transformation zum „smarten Dienstleister“ zu meistern.
An overview of the ICARUS project provided during the European Big Data Value Forum, Parallel Session 1.3 “Transforming Transport”, on November 12th, 2018, in Vienna.
Development of an Interactive Simulation of Steel Cord Manufacturing for Indu...Gurdal Ertek
We developed an interactive simulation program to be used in industrial engineering education, based on an earlier simulation study of a steel cord manufacturing plant. In the class project, the students are asked to design strategies/algorithms for finding the optimal values of operational decision variables by using the program.
http://research.sabanciuniv.edu.
TNO is a Dutch research organization focused on technological innovation. The document discusses trends in commercial vehicle automation, including a focus on both single vehicle and multiple vehicle automation to improve cost efficiency and safety. It outlines TNO's roadmaps for developing automated commercial vehicle technologies and applying scenario-based safety methodologies and validation techniques to speed up large-scale deployment. The conclusion emphasizes that cooperative vehicle automation will transform logistics and calls for collaboratively building real-life safety scenario databases.
“Semantic Technologies for Smart Services” diannepatricia
Rudi Studer, Full Professor in Applied Informatics at the Karlsruhe Institute of Technology (KIT), Institute AIFB, presentation “Semantic Technologies for Smart Services” as part of the Cognitive Systems Institute Speaker Series, December 15, 2016.
This document summarizes a presentation given by Prof. Dr. Petra Schubert and Söhnke Grams at the Center for Enterprise Information Research (CEIR) Social Connections conference in Berlin on October 16-17, 2018. The presentation discussed the 10-year history of the UniConnect collaboration platform, which is based on IBM Connections. It described how the platform started as an internal network at CEIR and the University of Koblenz-Landau and has expanded to include over 35 academic institutions worldwide. It also reviewed key events and developments that helped grow the user network and highlighted some of the research conducted using the platform.
Top Software Engineering & Applications Research articles of 2019ijseajournal
The International Journal of Software Engineering & Applications (IJSEA) is a bi-monthly open access peer-reviewed journal that publishes articles which contribute new results in all areas of the Software Engineering & Applications. The goal of this journal is to bring together researchers and practitioners from academia and industry to focus on understanding Modern software engineering concepts & establishing new collaborations in these areas.
Systems engineering is a modern discipline that deals with the proper, cost effective and quality oriented creation of complex, multidisciplinary systems.
Modern trends in Systems Engineering orient its practice towards better quality management, increased Reuse, maximum interoperability and, of course, universal reuse.
In order to cope with such complex challenges, massive knowledge storage and management is necessary.
This presentation introduces the concept of Knowledge Centric Systems engineering, and develops its ground pillars.
Ontologies are used as the basic representation schemas for system knowledge.
Webinar Industrial Data Space Association: Introduction and ArchitectureThorsten Huelsmann
Industrial Data Space Association is an industry and user driven initiative to develop a global Industrial Data Space standard and reference architecture which provides data sovereignty. The work bases on use cases and supports certifiable software solutions and business models for the data economy. The Webinar by Lars Nagel and Sebastian Steinbuss gives and overview to the Industrial Data Space initiative and explains the Reference Architecture and ist main components.
DataBench session @ BDV Meet-Up Riga: The case of HOBBIT, 27/06/2019DataBench
The document provides an overview of the HOBBIT project, which aimed to benchmark big linked data tools and technologies. It developed benchmarks based on real-world datasets and requirements. It created an open-source and universal benchmarking platform hosted online for running experiments. The platform was used to benchmark over 200 systems through various challenges, and gathered over 13,000 experiments with 300+ users. Future work involves continuing to develop the platform and use it for additional projects.
http://ainyc19.xnextcon.com
I will describe what is available in terms of Open Source and Proprietary tools for automating Data Science tasks and introduce 2 new tools: one to visualize any sized data set with one click, another: to try multiple ML models and techniques with a single call. I will provide the Github Repos for both for free in the talk.
The document discusses xAPIsec, an initiative to develop security best practices for the xAPI specification. As xAPI usage grows in commercial and public sectors, it is important to ensure tools that provide, collect, and analyze xAPI data conform to information security standards. The xAPIsec initiative aims to create a community-driven document defining these standards to ultimately establish security certifications for xAPI technologies. The talk will provide details on the initiative and ways for participants to get involved.
Engineering the Aggregate - Talk at Software Engineering for Intelligent and ...Danilo Pianini
A distributed system can be seen as a single computational machine rather than a collection of multiple communicating machines, as it is usually perceived. Reasoning on the aggregate of situated devices under this privileged point of view can lead to interesting engineering solutions that allow for abstracting away the networking protocols, and focusing on producing advanced, self-stabilizing coordination algorithms.
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.
Towards Enterprise Interoperability Service UtilitiesBrian Elvesæter
This document discusses the development of baseline enterprise interoperability (EI) services as part of the COIN project. It provides an overview of EI challenges and proposes an EI services framework. A state-of-the-art analysis of existing EI tools from FP6 projects is presented. Based on this, 11 proposed baseline EI services across various categories like model-driven, semantic mediation, and data interoperability are described. The benefits of these services for reducing integration costs and enabling collaboration are highlighted. The conclusions discuss positioning the COIN platform to offer these EI services as utilities according to the Software-as-a-Service model.
The document discusses bridging the gap between current operating systems and AI-integrated systems, including transforming from process-driven to data-driven enterprises and the challenges of big data science initiatives; it also provides two case studies on using artificial intelligence for subjective analytics on social media and developing chatbots.
This document discusses accelerating the development of analytic models by subject matter experts (SMEs) at ABB. It describes the traditional process where SMEs worked with developers to create models, which took months to integrate into solutions. The new approach allows SMEs to independently create and evolve models using a drag-and-drop workbench, with models integrated into solutions within minutes by developers. This closes the gaps between SME knowledge and solutions by empowering SMEs as end-user developers and decoupling model development from solution development lifecycles.
Agent based web service communicating different is’s and platformsIAEME Publication
This document presents an agent-based approach to enabling communication between two independent information systems (IS) running on different platforms and operating systems. It proposes using agent-based web services to first discover the architecture of each OS, and then enable communication. Specifically, it analyzes how to determine if a Windows 7 system is 32-bit or 64-bit, and introduces three web service models - one for a legacy 32-bit IS without security, one for a new 64-bit IS with security features, and one that detects the platform and routes requests. The overall goal is integrating old and new systems with minimal performance impact and cost.
Internet of Things (IoT) as a Driver for the Circular Economy – Innovation, Q...Erik G. Hansen
Aufgrund marktlicher und regulatorischer Veränderungen stehen Industrien zunehmend vor der Herausforderung Wertschöpfungsketten vom Ressourcenabbau bis zur Produktentsorgung zu gestalten. Darauf basierend fordert das auch von der europäischen Union vorangetriebene Konzept der „Circular Economy“ Produkte nicht nur zu recyceln, sondern eine verbesserte Ausbeute der Produkte (oder Komponenten) durch Services wie Sharing, Reuse, Repair und Remanufacturing zu erreichen. Hierfür birgt die zunehmende Digitalisierung von Produkten und Prozessen und deren Vernetzung im Internet of Things (IoT) neue Innovationschancen. So kann die Qualität von Smart Products durch Fernüberwachung, -wartung und -identifikation erhöht werden. Als Bestandteil von servicebasierten Geschäftsmodellen, können Kunden per Smartphone Zugang zu einer flexiblen Produktnutzung erhalten. Ortung, Identifikation und digitales Gedächtnis kann die Produktrückführung vereinfachen. Organisatorische und sicherheitsbezogene Herausforderungen sind in der Transformation zum „smarten Dienstleister“ zu meistern.
An overview of the ICARUS project provided during the European Big Data Value Forum, Parallel Session 1.3 “Transforming Transport”, on November 12th, 2018, in Vienna.
Development of an Interactive Simulation of Steel Cord Manufacturing for Indu...Gurdal Ertek
We developed an interactive simulation program to be used in industrial engineering education, based on an earlier simulation study of a steel cord manufacturing plant. In the class project, the students are asked to design strategies/algorithms for finding the optimal values of operational decision variables by using the program.
http://research.sabanciuniv.edu.
TNO is a Dutch research organization focused on technological innovation. The document discusses trends in commercial vehicle automation, including a focus on both single vehicle and multiple vehicle automation to improve cost efficiency and safety. It outlines TNO's roadmaps for developing automated commercial vehicle technologies and applying scenario-based safety methodologies and validation techniques to speed up large-scale deployment. The conclusion emphasizes that cooperative vehicle automation will transform logistics and calls for collaboratively building real-life safety scenario databases.
“Semantic Technologies for Smart Services” diannepatricia
Rudi Studer, Full Professor in Applied Informatics at the Karlsruhe Institute of Technology (KIT), Institute AIFB, presentation “Semantic Technologies for Smart Services” as part of the Cognitive Systems Institute Speaker Series, December 15, 2016.
This document summarizes a presentation given by Prof. Dr. Petra Schubert and Söhnke Grams at the Center for Enterprise Information Research (CEIR) Social Connections conference in Berlin on October 16-17, 2018. The presentation discussed the 10-year history of the UniConnect collaboration platform, which is based on IBM Connections. It described how the platform started as an internal network at CEIR and the University of Koblenz-Landau and has expanded to include over 35 academic institutions worldwide. It also reviewed key events and developments that helped grow the user network and highlighted some of the research conducted using the platform.
Top Software Engineering & Applications Research articles of 2019ijseajournal
The International Journal of Software Engineering & Applications (IJSEA) is a bi-monthly open access peer-reviewed journal that publishes articles which contribute new results in all areas of the Software Engineering & Applications. The goal of this journal is to bring together researchers and practitioners from academia and industry to focus on understanding Modern software engineering concepts & establishing new collaborations in these areas.
Systems engineering is a modern discipline that deals with the proper, cost effective and quality oriented creation of complex, multidisciplinary systems.
Modern trends in Systems Engineering orient its practice towards better quality management, increased Reuse, maximum interoperability and, of course, universal reuse.
In order to cope with such complex challenges, massive knowledge storage and management is necessary.
This presentation introduces the concept of Knowledge Centric Systems engineering, and develops its ground pillars.
Ontologies are used as the basic representation schemas for system knowledge.
Webinar Industrial Data Space Association: Introduction and ArchitectureThorsten Huelsmann
Industrial Data Space Association is an industry and user driven initiative to develop a global Industrial Data Space standard and reference architecture which provides data sovereignty. The work bases on use cases and supports certifiable software solutions and business models for the data economy. The Webinar by Lars Nagel and Sebastian Steinbuss gives and overview to the Industrial Data Space initiative and explains the Reference Architecture and ist main components.
DataBench session @ BDV Meet-Up Riga: The case of HOBBIT, 27/06/2019DataBench
The document provides an overview of the HOBBIT project, which aimed to benchmark big linked data tools and technologies. It developed benchmarks based on real-world datasets and requirements. It created an open-source and universal benchmarking platform hosted online for running experiments. The platform was used to benchmark over 200 systems through various challenges, and gathered over 13,000 experiments with 300+ users. Future work involves continuing to develop the platform and use it for additional projects.
http://ainyc19.xnextcon.com
I will describe what is available in terms of Open Source and Proprietary tools for automating Data Science tasks and introduce 2 new tools: one to visualize any sized data set with one click, another: to try multiple ML models and techniques with a single call. I will provide the Github Repos for both for free in the talk.
The document discusses xAPIsec, an initiative to develop security best practices for the xAPI specification. As xAPI usage grows in commercial and public sectors, it is important to ensure tools that provide, collect, and analyze xAPI data conform to information security standards. The xAPIsec initiative aims to create a community-driven document defining these standards to ultimately establish security certifications for xAPI technologies. The talk will provide details on the initiative and ways for participants to get involved.
Engineering the Aggregate - Talk at Software Engineering for Intelligent and ...Danilo Pianini
A distributed system can be seen as a single computational machine rather than a collection of multiple communicating machines, as it is usually perceived. Reasoning on the aggregate of situated devices under this privileged point of view can lead to interesting engineering solutions that allow for abstracting away the networking protocols, and focusing on producing advanced, self-stabilizing coordination algorithms.
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 und Domino Lizenzkostenreduzierung in der Welt von DLAUpanagenda
Webinar Recording: https://www.panagenda.com/webinars/hcl-notes-und-domino-lizenzkostenreduzierung-in-der-welt-von-dlau/
DLAU und die Lizenzen nach dem CCB- und CCX-Modell sind für viele in der HCL-Community seit letztem Jahr ein heißes Thema. Als Notes- oder Domino-Kunde haben Sie vielleicht mit unerwartet hohen Benutzerzahlen und Lizenzgebühren zu kämpfen. Sie fragen sich vielleicht, wie diese neue Art der Lizenzierung funktioniert und welchen Nutzen sie Ihnen bringt. Vor allem wollen Sie sicherlich Ihr Budget einhalten und Kosten sparen, wo immer möglich. Das verstehen wir und wir möchten Ihnen dabei helfen!
Wir erklären Ihnen, wie Sie häufige Konfigurationsprobleme lösen können, die dazu führen können, dass mehr Benutzer gezählt werden als nötig, und wie Sie überflüssige oder ungenutzte Konten identifizieren und entfernen können, um Geld zu sparen. Es gibt auch einige Ansätze, die zu unnötigen Ausgaben führen können, z. B. wenn ein Personendokument anstelle eines Mail-Ins für geteilte Mailboxen verwendet wird. Wir zeigen Ihnen solche Fälle und deren Lösungen. Und natürlich erklären wir Ihnen das neue Lizenzmodell.
Nehmen Sie an diesem Webinar teil, bei dem HCL-Ambassador Marc Thomas und Gastredner Franz Walder Ihnen diese neue Welt näherbringen. Es vermittelt Ihnen die Tools und das Know-how, um den Überblick zu bewahren. Sie werden in der Lage sein, Ihre Kosten durch eine optimierte Domino-Konfiguration zu reduzieren und auch in Zukunft gering zu halten.
Diese Themen werden behandelt
- Reduzierung der Lizenzkosten durch Auffinden und Beheben von Fehlkonfigurationen und überflüssigen Konten
- Wie funktionieren CCB- und CCX-Lizenzen wirklich?
- Verstehen des DLAU-Tools und wie man es am besten nutzt
- Tipps für häufige Problembereiche, wie z. B. Team-Postfächer, Funktions-/Testbenutzer usw.
- Praxisbeispiele und Best Practices zum sofortigen Umsetzen
Conversational agents, or chatbots, are increasingly used to access all sorts of services using natural language. While open-domain chatbots - like ChatGPT - can converse on any topic, task-oriented chatbots - the focus of this paper - are designed for specific tasks, like booking a flight, obtaining customer support, or setting an appointment. Like any other software, task-oriented chatbots need to be properly tested, usually by defining and executing test scenarios (i.e., sequences of user-chatbot interactions). However, there is currently a lack of methods to quantify the completeness and strength of such test scenarios, which can lead to low-quality tests, and hence to buggy chatbots.
To fill this gap, we propose adapting mutation testing (MuT) for task-oriented chatbots. To this end, we introduce a set of mutation operators that emulate faults in chatbot designs, an architecture that enables MuT on chatbots built using heterogeneous technologies, and a practical realisation as an Eclipse plugin. Moreover, we evaluate the applicability, effectiveness and efficiency of our approach on open-source chatbots, with promising results.
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
Your One-Stop Shop for Python Success: Top 10 US Python Development Providersakankshawande
Simplify your search for a reliable Python development partner! This list presents the top 10 trusted US providers offering comprehensive Python development services, ensuring your project's success from conception to completion.
Programming Foundation Models with DSPy - Meetup SlidesZilliz
Prompting language models is hard, while programming language models is easy. In this talk, I will discuss the state-of-the-art framework DSPy for programming foundation models with its powerful optimizers and runtime constraint system.
Driving Business Innovation: Latest Generative AI Advancements & Success StorySafe Software
Are you ready to revolutionize how you handle data? Join us for a webinar where we’ll bring you up to speed with the latest advancements in Generative AI technology and discover how leveraging FME with tools from giants like Google Gemini, Amazon, and Microsoft OpenAI can supercharge your workflow efficiency.
During the hour, we’ll take you through:
Guest Speaker Segment with Hannah Barrington: Dive into the world of dynamic real estate marketing with Hannah, the Marketing Manager at Workspace Group. Hear firsthand how their team generates engaging descriptions for thousands of office units by integrating diverse data sources—from PDF floorplans to web pages—using FME transformers, like OpenAIVisionConnector and AnthropicVisionConnector. This use case will show you how GenAI can streamline content creation for marketing across the board.
Ollama Use Case: Learn how Scenario Specialist Dmitri Bagh has utilized Ollama within FME to input data, create custom models, and enhance security protocols. This segment will include demos to illustrate the full capabilities of FME in AI-driven processes.
Custom AI Models: Discover how to leverage FME to build personalized AI models using your data. Whether it’s populating a model with local data for added security or integrating public AI tools, find out how FME facilitates a versatile and secure approach to AI.
We’ll wrap up with a live Q&A session where you can engage with our experts on your specific use cases, and learn more about optimizing your data workflows with AI.
This webinar is ideal for professionals seeking to harness the power of AI within their data management systems while ensuring high levels of customization and security. Whether you're a novice or an expert, gain actionable insights and strategies to elevate your data processes. Join us to see how FME and AI can revolutionize how you work with data!
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Monitoring and Managing Anomaly Detection on OpenShift.pdfTosin Akinosho
Monitoring and Managing Anomaly Detection on OpenShift
Overview
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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?
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4. Deployment Using ArgoCD for Edge Devices
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5. Introduction to Apache Kafka and S3
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6. Viewing Kafka Messages in the Data Lake
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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.
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[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.
[OReilly Superstream] Occupy the Space: A grassroots guide to engineering (an...
System integration for HEMIS
1. System Integration for HEMIS
(EAI)
Ghezal Ahmad Zia
Technical University of Berlin
August 11, 2016
Ghezal Ahmad Zia (Technical University of Berlin) EAI August 11, 2016 1 / 43
2. Outline
1 HEMIS
Problem
2 What is System Integration?
The Integration Problem (i.e. Opportunity)
3 EAI Architecture
Hub/Spoke
BUS
4 EAI Types
Data Level
User Interface Level
Method Level
Application Interface Level
5 Conclusions
Ghezal Ahmad Zia (Technical University of Berlin) EAI August 11, 2016 2 / 43
3. Forward
This presentation, represent the current situation of HEMIS,
Development of 10 Modules of HEMIS by ITCC, System
Integration of HEMIS which mostly focus on which architecture
and type of integration is feasible for HEMIS.
Ghezal Ahmad Zia (Technical University of Berlin) EAI August 11, 2016 3 / 43
4. HEMIS
The HEMIS (Higher Education Management Information
Systems) was established in 2008.[IT Conference]
Ghezal Ahmad Zia (Technical University of Berlin) EAI August 11, 2016 4 / 43
5. HEMIS
The HEMIS (Higher Education Management Information
Systems) was established in 2008.[IT Conference]
The goal of HEMIS is to improve management, data collection,
and analysis.
Ghezal Ahmad Zia (Technical University of Berlin) EAI August 11, 2016 4 / 43
6. HEMIS
The HEMIS (Higher Education Management Information
Systems) was established in 2008.[IT Conference]
The goal of HEMIS is to improve management, data collection,
and analysis.
Currently, two modules of HEMIS are functional.
Ghezal Ahmad Zia (Technical University of Berlin) EAI August 11, 2016 4 / 43
7. 11th IT Conference
On the 11th IT Conference, the concept of Module-based
distributed HEMIS was presented.[IT Conference]
Ghezal Ahmad Zia (Technical University of Berlin) EAI August 11, 2016 5 / 43
11. Ghezal Ahmad Zia (Technical University of Berlin) EAI August 11, 2016 9 / 43
12. 11th IT Conference
The ITCC (IT Competence Center of Afghanistan) started
developing 10 modules of HEMIS recently.
Ghezal Ahmad Zia (Technical University of Berlin) EAI August 11, 2016 10 / 43
14. System development over the last 20 years has been tended to
emphasize core functionality as opposed to integration [iConexio]
Many systems are highly stovepiped and difficult to integrate with
other similar systems.
Ghezal Ahmad Zia (Technical University of Berlin) EAI August 11, 2016 12 / 43
16. What is System Integration?
Ghezal Ahmad Zia (Technical University of Berlin) EAI August 11, 2016 14 / 43
17. What is System Integration?
Definition
It is the combination of processes, software, standards and hardware
resulting in the seamless integration of two or more enterprise systems
allowing them to operate as one. [EAI]
Ghezal Ahmad Zia (Technical University of Berlin) EAI August 11, 2016 15 / 43
18. The Problem
”70% of all code written today consists of interfaces, protocols,
and other procedures to establish linkages among various systems”
[IBM]
Ghezal Ahmad Zia (Technical University of Berlin) EAI August 11, 2016 16 / 43
19. The Problem
”70% of all code written today consists of interfaces, protocols,
and other procedures to establish linkages among various systems”
[IBM]
”30% of entire IT budget is spent on building, maintaining, and
supporting application integration” [FORRESTER]
Ghezal Ahmad Zia (Technical University of Berlin) EAI August 11, 2016 16 / 43
20. The Integration Problem (i.e. Opportunity)
Definition
Multiple, disparate applications
Custom
Legacy
Packaged
Ghezal Ahmad Zia (Technical University of Berlin) EAI August 11, 2016 17 / 43
21. The Integration Problem (i.e. Opportunity)
Definition
Multiple, disparate applications
Custom
Legacy
Packaged
Multiple platforms
Ghezal Ahmad Zia (Technical University of Berlin) EAI August 11, 2016 17 / 43
22. The Integration Problem (i.e. Opportunity)
Definition
Multiple, disparate applications
Custom
Legacy
Packaged
Multiple platforms
Multiple databases
Ghezal Ahmad Zia (Technical University of Berlin) EAI August 11, 2016 17 / 43
23. The Integration Problem (i.e. Opportunity)
Definition
Multiple, disparate applications
Custom
Legacy
Packaged
Multiple platforms
Multiple databases
Multiple transaction processors
Ghezal Ahmad Zia (Technical University of Berlin) EAI August 11, 2016 17 / 43
24. The Integration Problem (i.e. Opportunity)
Definition
Multiple, disparate applications
Custom
Legacy
Packaged
Multiple platforms
Multiple databases
Multiple transaction processors
Multiple data entry points
Ghezal Ahmad Zia (Technical University of Berlin) EAI August 11, 2016 17 / 43
25. The Integration Problem (i.e. Opportunity)
Definition
Multiple, disparate applications
Custom
Legacy
Packaged
Multiple platforms
Multiple databases
Multiple transaction processors
Multiple data entry points
Multiple versions of the same data
Ghezal Ahmad Zia (Technical University of Berlin) EAI August 11, 2016 17 / 43
26. The Integration Problem (i.e. Opportunity)
Definition
Multiple, disparate applications
Custom
Legacy
Packaged
Multiple platforms
Multiple databases
Multiple transaction processors
Multiple data entry points
Multiple versions of the same data
Incompatible business data
Ghezal Ahmad Zia (Technical University of Berlin) EAI August 11, 2016 17 / 43
27. EAI
Enterprise Application Integration or EAI, is a technical term
since the early 2000.
EAI is an approach, or more accurately, a general category of
approaches, to providing interoperability between the multiple
disparate systems.
Ghezal Ahmad Zia (Technical University of Berlin) EAI August 11, 2016 18 / 43
28. EAI Architecture
There are two basic architectures to achieve this.
[EAI-Architecture]
HUB/SPOKE
BUS
Ghezal Ahmad Zia (Technical University of Berlin) EAI August 11, 2016 19 / 43
29. Hub/Spoke
Uses a centralized broker (Hub) and adapters (Spoke)
Spoke connect to application and convert application data format
to a format which Hub understands and vice versa.
Hub on the other hand brokers all messages and takes care of
content transformation/translation of the incoming message.
Ghezal Ahmad Zia (Technical University of Berlin) EAI August 11, 2016 20 / 43
33. BUS
Bus architecture uses a central messaging backbone (bus) for
message propagation.
Applications would publish messages to bus using adapters.
These messages would flow to subscribing applications using
message bus.
Subscribing applications will have adapters which would take
message from bus and transform the message into a format
required for the application.
Ghezal Ahmad Zia (Technical University of Berlin) EAI August 11, 2016 24 / 43
43. EAI Types
+ The business
process and data
is accessed
through the
interfaces with
this approach.
+ This approach is
mostly used with
the packaged
applica9ons.
+ Message brokers
are used as
preferred solu9on
+ The data is moved
from one data
store to another
and processes the
informa9on if
required.
+ There is no code
change which
saves the cost of
redevelopment.
• Data Level • Applica-on
Interface
Level
• Method
Level
01 02 03EAI Types
Ghezal Ahmad Zia (Technical University of Berlin) EAI August 11, 2016 34 / 43
44. EAI Types
+ The business
process and data
is accessed
through the
interfaces with
this approach.
+ This approach is
mostly used with
the packaged
applica9ons.
+ Message brokers
are used as
preferred solu9on
+ A method can be
accessed by many
applica9ons.
+ In this approach
we reuse the
business logic,
means reusing the
exis9ng
applica9on.
+ The data is moved
from one data
store to another
and processes the
informa9on if
required.
+ There is no code
change which
saves the cost of
redevelopment.
• Data Level • Applica-on
Interface
Level
• Method
Level
• User
Interface
Level
01 02 03 04EAI Types
Ghezal Ahmad Zia (Technical University of Berlin) EAI August 11, 2016 35 / 43
45. EAI Types
+ The business
process and data
is accessed
through the
interfaces with
this approach.
+ This approach is
mostly used with
the packaged
applica9ons.
+ Message brokers
are used as
preferred solu9on
+ A method can be
accessed by many
applica9ons.
+ In this approach
we reuse the
business logic,
means reusing the
exis9ng
applica9on.
+ Bundles the
applica9ons use
their user
interfaces
+ The mainframe
applica9ons can
be accessed
through this
approach.
+ Not preferred
approach.
+ The data is moved
from one data
store to another
and processes the
informa9on if
required.
+ There is no code
change which
saves the cost of
redevelopment.
• Data Level • Applica-on
Interface
Level
• Method
Level
• User
Interface
Level
01 02 03 04EAI Types
Ghezal Ahmad Zia (Technical University of Berlin) EAI August 11, 2016 36 / 43
46. Integration on the Data Source Level [AI]
Ghezal Ahmad Zia (Technical University of Berlin) EAI August 11, 2016 37 / 43
47. Integration on the Business Logic Level [AI]
Ghezal Ahmad Zia (Technical University of Berlin) EAI August 11, 2016 38 / 43
48. Integration on the User Interface Level [AI]
Ghezal Ahmad Zia (Technical University of Berlin) EAI August 11, 2016 39 / 43
49. Level of Integration [AI]
Ghezal Ahmad Zia (Technical University of Berlin) EAI August 11, 2016 40 / 43
50. Conclusions
The current developed modules of HEMIS has been explained.
The integration architectures and levels defined.
The role of adapter and its complexity
The easy and suitable integration level are proposed for HEMIS.
Ghezal Ahmad Zia (Technical University of Berlin) EAI August 11, 2016 41 / 43
51. References
IBM
FORRESTER
https://go.forrester.com/
EAI
Tariq Rahim Soomro & Abrar Hasnain Awan
Challenges and Future of Enterprise Application Integration
11th IT Conference
ZiiK-Report Nr. 41
, Page 20 - 21
8th IT Conference
ZiiK-Report Nr. 31
, Page 23 - 24
Heiko Paulheim & Florian Probst
Application Integration on the User-Interface Level
Atul Apte
Adapters and EAI
Ghezal Ahmad Zia (Technical University of Berlin) EAI August 11, 2016 42 / 43