This document announces a seminar on context-aware and ambient applications that will explore how embedded intelligence can be used. The seminar will discuss how computing is moving from mainframes to desktop PCs to being everywhere. As an example, it describes how an intelligent cellphone could automatically switch to vibration or silence its ringer based on the user's context like being in a busy station, business meeting, or relaxing without direct interaction. It provides the dates and registration details for the three group meetings that will make up the seminar.
This document provides an overview of the Summer 2007 Seminar on Context-Aware and Ambient Applications at the University of Bonn. The seminar will be run like a scientific conference over three dates in April and June 2007. Topics to be covered include context-aware software architectures, indoor and outdoor location sensing, activity recognition, and security and privacy issues in context-aware systems. Students will present topics in 90-second presentations and submit papers by early June. More information can be found on the seminar website.
Ji tt using cloud apps and digital literacy at salt 2012Cynthia Calongne
Presented at the SALT 2012 Conference and during digital literacy presentations with regards to virtual worlds, MOSES and research in STEM education by Dr. Andrew Stricker, Dr. John Cook, Dr. Cynthia Calongne and Dr. Arthur Langer.
This curriculum vitae is for Manojkumar Madam, an Indian national currently living in Germany. He received a Master of Science degree in Embedded Systems from Technische Universität Chemnitz, Germany in 2013-present, and received a Bachelor of Technology degree in Electronics and Communication Engineering from Jawaharlal Nehru Technological University Hyderabad, India from 2008-2012. His projects include work on steganography using Matlab, a home security system using microcontrollers and sensors, weather radar algorithms in Matlab, and investigating lithium-ion battery characteristics in hardware and software. His skills include programming in C, Java, VHDL, and C++, databases, simulations, languages, and
A Community Information System for Ubiquitous Informal Learning SupportNicolaescu Petru
This document discusses the Learning Layers project which aims to support ubiquitous informal learning through near-real time collaborative multimedia annotation on mobile devices and computers. The project is developing a community information system with a 3-tier cloud-enabled architecture to allow seamless user interaction across platforms for tagging videos created in the workplace to support learning. The system will monitor how the annotation tools are used in communities of practice to understand learning and improve the quality of annotations over time. The goals are to scale up support for informal learning in industry clusters through open web services and mobile/web interfaces.
Kevin PLATEL has over 3 years of experience as an Android developer at Netatmo in France, where he develops new mobile applications from specifications through implementation and testing. Previously, he was a lead software developer at ProfileRH in Paris building a human resources management platform using Dart, Docker, and Angular2. He also has experience as a teacher's assistant in software development and programming. PLATEL received a Master's degree in computer engineering from Epitech in France focusing on software development, systems architecture, and mobile applications.
Abdelrahman Abdallah Abdelfatah Elskhawy is seeking a challenging opportunity in digital design and embedded systems. He has a BSc in electronics and communication from Cairo University, graduating with very good grades. His graduation project involved designing a 64-bit floating point adder/subtractor using Verilog. He has experience as an embedded systems developer and has skills in Verilog, VHDL, C programming, and CAD tools like Cadence and Quartus. In his free time he enjoys martial arts, chess, and reading.
This document announces a seminar on context-aware and ambient applications that will explore how embedded intelligence can be used. The seminar will discuss how computing is moving from mainframes to desktop PCs to being everywhere. As an example, it describes how an intelligent cellphone could automatically switch to vibration or silence its ringer based on the user's context like being in a busy station, business meeting, or relaxing without direct interaction. It provides the dates and registration details for the three group meetings that will make up the seminar.
This document provides an overview of the Summer 2007 Seminar on Context-Aware and Ambient Applications at the University of Bonn. The seminar will be run like a scientific conference over three dates in April and June 2007. Topics to be covered include context-aware software architectures, indoor and outdoor location sensing, activity recognition, and security and privacy issues in context-aware systems. Students will present topics in 90-second presentations and submit papers by early June. More information can be found on the seminar website.
Ji tt using cloud apps and digital literacy at salt 2012Cynthia Calongne
Presented at the SALT 2012 Conference and during digital literacy presentations with regards to virtual worlds, MOSES and research in STEM education by Dr. Andrew Stricker, Dr. John Cook, Dr. Cynthia Calongne and Dr. Arthur Langer.
This curriculum vitae is for Manojkumar Madam, an Indian national currently living in Germany. He received a Master of Science degree in Embedded Systems from Technische Universität Chemnitz, Germany in 2013-present, and received a Bachelor of Technology degree in Electronics and Communication Engineering from Jawaharlal Nehru Technological University Hyderabad, India from 2008-2012. His projects include work on steganography using Matlab, a home security system using microcontrollers and sensors, weather radar algorithms in Matlab, and investigating lithium-ion battery characteristics in hardware and software. His skills include programming in C, Java, VHDL, and C++, databases, simulations, languages, and
A Community Information System for Ubiquitous Informal Learning SupportNicolaescu Petru
This document discusses the Learning Layers project which aims to support ubiquitous informal learning through near-real time collaborative multimedia annotation on mobile devices and computers. The project is developing a community information system with a 3-tier cloud-enabled architecture to allow seamless user interaction across platforms for tagging videos created in the workplace to support learning. The system will monitor how the annotation tools are used in communities of practice to understand learning and improve the quality of annotations over time. The goals are to scale up support for informal learning in industry clusters through open web services and mobile/web interfaces.
Kevin PLATEL has over 3 years of experience as an Android developer at Netatmo in France, where he develops new mobile applications from specifications through implementation and testing. Previously, he was a lead software developer at ProfileRH in Paris building a human resources management platform using Dart, Docker, and Angular2. He also has experience as a teacher's assistant in software development and programming. PLATEL received a Master's degree in computer engineering from Epitech in France focusing on software development, systems architecture, and mobile applications.
Abdelrahman Abdallah Abdelfatah Elskhawy is seeking a challenging opportunity in digital design and embedded systems. He has a BSc in electronics and communication from Cairo University, graduating with very good grades. His graduation project involved designing a 64-bit floating point adder/subtractor using Verilog. He has experience as an embedded systems developer and has skills in Verilog, VHDL, C programming, and CAD tools like Cadence and Quartus. In his free time he enjoys martial arts, chess, and reading.
EMI2lets is a middleware platform that aims to facilitate the development of context-aware mobile applications for ambient intelligence spaces. It uses mobile devices as universal remote controllers of "smart objects" in the environment. The EMI2lets platform allows physical objects and devices to be augmented with computational services, and discovers and interacts with these smart objects. It transfers small software components called EMI2lets from smart objects to mobile devices, allowing users to interact with and control smart objects through their phone or PDA. This transforms the environment into an ambient intelligence space and mobile devices into intelligent assistants.
The document discusses various applications of artificial intelligence including in web technologies, medicine, transportation, heavy industry, and more. It provides definitions of AI and the Turing test. It also outlines several computer science applications of AI such as natural language processing, computer vision, knowledge representation, and data mining.
The document discusses the development of an intelligent multimedia interface system that allows a user to control a pan/tilt camera through speech and hand gestures. The system uses a stationary camera to capture images of the user's hand gestures and a microphone to capture speech commands. By processing images and audio, the system is able to point the pan/tilt camera in the direction indicated by the user's hand gesture and then fine tune the position using voice commands. The system aims to make human-computer interaction more natural by replacing traditional input devices like keyboards and mice with speech and gestures. Experiments were conducted to evaluate the system's accuracy, efficiency, reliability and limitations.
Tangible Contextual Tag Clouds towards Controlled and Relevant Social Inter...Adrien Joly
Presented by Adrien Joly at Bell Labs France during a "SKP" session, this slideshow includes a motivated introduction to his phd thesis subject about contextual filtering of social interactions, its technical approach relying on "contextual tag clouds", and its current state of research.
The document discusses previous research projects related to location modeling and activity recognition using machine learning. It outlines the thesis topic of exploring location modeling and prediction of a person's location and activities. Possible data sources and tools that could be used are also mentioned, along with some issues to consider in the research.
This document summarizes a PhD defense presentation on an observer/controller and ontology/rule-based architecture for context-aware pervasive computing systems. The presentation introduces ubiquitous/pervasive computing and discusses context-aware computing approaches. It proposes a new generic context model called Ubiq-OntoRule-CM that uses an ontology for context modeling and rules for context reasoning and service selection. A new generic architecture is also proposed that supports context detection, rapid adaptation, and context modeling/reasoning techniques. The architecture applies an observer/controller concept from organic computing to supervise adaptive systems.
Demonstration of visual based and audio-based hci systemeSAT Journals
This document describes the development of a visual-based and audio-based human-computer interaction system using MATLAB. The researchers created a graphical user interface with buttons for color input and speech input. For color recognition, the system could detect primary colors like red, green, and blue in real-time video frames or offline images. For speech recognition, audio input was compared to pre-recorded audio files to perform operations like opening a web browser. The algorithms and results of the color detection and speech recognition are explained in detail with figures and flowcharts. The system achieved 98% accuracy in color detection and could open programs based on the detected speech input.
An introductory lecture on Context-Oriented Programming, part of the course LINGI2252 “Software Maintenance and Evolution”, given by Prof. Kim Mens at UCL, Belgium. This particular lecture was made by Dr. Sebastian Gonzalez in close collaboration with Prof. Kim Mens.
AI for UI: How AI technology may support human-technology interaction by Roop...Mindtrek
AI IN FUTURE TECHNOLOGIES - Wednesday 29th
ROOPE RAISAMO, Professor, Tampere University
Smart City Mindtrek 2020 – conference
28th-29th January
Tampere, Finland
www.mindtrek.org/2020/
This document discusses context awareness and context-aware computing. It defines context as any information that can help characterize an entity's situation, including a user's environment, location, identity, and activity. Context-aware systems use context to provide relevant information and services to users. The document classifies different types of context and discusses how context-aware systems sense context, interpret it ("think"), and take appropriate actions. It also outlines some challenges in building context-aware applications, such as accurately representing and inferring context.
Research Group 'Multimedia Communication' Presentation (March 2015)hellwagner
The document describes the Research Group Multimedia Communication (MMC) at the Alpen-Adria-Universität Klagenfurt in Austria. The MMC conducts research in areas related to multimedia communication, quality of experience, adaptive video streaming, and more. Current research projects include BRIDGE, which develops technologies for emergency response, and CONCERT, an international basic research project on intelligent content adaptation. The group is led by Prof. Hermann Hellwagner and Associate Prof. Christian Timmerer and has been involved in several European Commission and Austrian funded projects.
The quest for realizing Smart Environments has taken place for the last 30 years. Diverse adaptations of the original UbiComp vision have been developed, each highlighting diverse aspects who have been considered critical to enable a wider and more acceptable adoption of Smart Environments. Notable examples of such interesting adaptations are Context-aware Computing, Sentient Computing, Ambient Intelligence, Ambient Assisted Living and Internet of Everything. Under those different umbrella terms, researchers have explored the 3 stage enabling equation for Smart Environments, i.e. “SENSE + PROCESS = ACT”, i.e. spaces where the environment is aware of the needs, profiles and preferences from the sensed users and accommodates its behaviour to ease their daily interactions. Contributions around these different perspectives and applied to distinct environments, i.e. Smart Offices, Smart Homes, Smart Factories or Smart Cities, have been produced, all addressing the challenges posed by ever more complex systems of systems populated by multiple users. This talk will exemplify research results on how to accomplish these three core steps. Firstly, in the SENSE part, the importance of location sensing and the spread of low cost highly dense sensing environments (RFID, NFC or low range Bluetooth) will be described. Secondly, the PROCESS stage where ever more sophisticated analytics mechanisms to take into account historic and real-time data are considered, combining domain-driven (rules) and data-driven solutions, will be analysed. Thirdly, the ACT stage will be explored, considering the evolution from reactive to learning persuasive environments which aim to collaborate with their users. Thus, a middle ground fostering collaboration between smart things and people will be defended giving place to Smarter environments. The implications of the Smarter environments approach will be illustrated with use cases in the Open Government and Efficient Energy Management domains.
A Survey Of Context-Aware Mobile Computing ResearchKelly Lipiec
This document provides a survey of research on context-aware mobile computing systems and applications. It discusses definitions of context, including categories of context like computing context, user context, physical context, and time context. The document also defines context as the set of environmental states and settings that determine an application's behavior or where application events occur and are interesting to the user. It surveys context-aware applications and how they sense and model contextual information. The difficulties and potential solutions outlined will help researchers make context-aware computing a reality.
This document presents a prototype for a distributed emergency context service (DECS) that uses mobile devices and cloud computing. It discusses (1) the architecture of DECS, including its event-based workflow and use of Google App Engine and Web Toolkit, (2) the development of three prototypes with different client-server implementations, and (3) the evaluation of web application frameworks for ubiquitous computing applications.
This document discusses context awareness and context-aware systems. It begins by defining context as the surrounding environment, location, or situation that determines the meaning of an event. An entity is defined as anything relevant to the interaction between a user and an application, including the user and application themselves.
The document then classifies different types of context, including computing, user, environmental, and physical context. It explains that context awareness allows a system to sense and act upon information about its environment. Context-aware systems can take automatic action or provide intelligent assistance based on sensed context like location, time, temperature, or user identity.
Finally, the document discusses challenges in building context-aware systems and applications, such as representing context
Research Overview about the Multimedia Communications Lab (KOM) - Technische Universität Darmstadt - Germany
Research areas towards Adaptive Seamless Multimedia Communications are: Knowledge & Educational Technologies, Multimedia Technologies & Serious Games, Mobile Systems & Sensor Networks, Self-organizing Systems & Overlay Communications, Service-oriented Computing
Novi Sad AI is the first AI community in Serbia with goal of democratizing knowledge of AI. On our first event we talked about Belief networks, Deep learning and many more.
Eye(I) Still Know! – An App for the Blind Built using Web and AIDr. Amarjeet Singh
This paper proposes eye(I) still know!, a voice control solution for the visually impaired people. The main purpose is even though the blind cannot see they can still know where to go and what to do! Nearby 60% of total blind population across the world is present in India. In a time where no one likes to rely on anyone, this is a small effort to make the blind independent individuals. This can be achieved using wireless communication, voice recognition and image scanning. The application with the use of object identification will priorly inform about the barriers in the path.
The software will use the camera of the device and scan all the obstacles with their corresponding distances from the user. This will be followed by audio instructions through audio output of the device.
This will efficiently direct the user through his/her way.
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.
Let's Integrate MuleSoft RPA, COMPOSER, APM with AWS IDP along with Slackshyamraj55
Discover the seamless integration of RPA (Robotic Process Automation), COMPOSER, and APM with AWS IDP enhanced with Slack notifications. Explore how these technologies converge to streamline workflows, optimize performance, and ensure secure access, all while leveraging the power of AWS IDP and real-time communication via Slack notifications.
EMI2lets is a middleware platform that aims to facilitate the development of context-aware mobile applications for ambient intelligence spaces. It uses mobile devices as universal remote controllers of "smart objects" in the environment. The EMI2lets platform allows physical objects and devices to be augmented with computational services, and discovers and interacts with these smart objects. It transfers small software components called EMI2lets from smart objects to mobile devices, allowing users to interact with and control smart objects through their phone or PDA. This transforms the environment into an ambient intelligence space and mobile devices into intelligent assistants.
The document discusses various applications of artificial intelligence including in web technologies, medicine, transportation, heavy industry, and more. It provides definitions of AI and the Turing test. It also outlines several computer science applications of AI such as natural language processing, computer vision, knowledge representation, and data mining.
The document discusses the development of an intelligent multimedia interface system that allows a user to control a pan/tilt camera through speech and hand gestures. The system uses a stationary camera to capture images of the user's hand gestures and a microphone to capture speech commands. By processing images and audio, the system is able to point the pan/tilt camera in the direction indicated by the user's hand gesture and then fine tune the position using voice commands. The system aims to make human-computer interaction more natural by replacing traditional input devices like keyboards and mice with speech and gestures. Experiments were conducted to evaluate the system's accuracy, efficiency, reliability and limitations.
Tangible Contextual Tag Clouds towards Controlled and Relevant Social Inter...Adrien Joly
Presented by Adrien Joly at Bell Labs France during a "SKP" session, this slideshow includes a motivated introduction to his phd thesis subject about contextual filtering of social interactions, its technical approach relying on "contextual tag clouds", and its current state of research.
The document discusses previous research projects related to location modeling and activity recognition using machine learning. It outlines the thesis topic of exploring location modeling and prediction of a person's location and activities. Possible data sources and tools that could be used are also mentioned, along with some issues to consider in the research.
This document summarizes a PhD defense presentation on an observer/controller and ontology/rule-based architecture for context-aware pervasive computing systems. The presentation introduces ubiquitous/pervasive computing and discusses context-aware computing approaches. It proposes a new generic context model called Ubiq-OntoRule-CM that uses an ontology for context modeling and rules for context reasoning and service selection. A new generic architecture is also proposed that supports context detection, rapid adaptation, and context modeling/reasoning techniques. The architecture applies an observer/controller concept from organic computing to supervise adaptive systems.
Demonstration of visual based and audio-based hci systemeSAT Journals
This document describes the development of a visual-based and audio-based human-computer interaction system using MATLAB. The researchers created a graphical user interface with buttons for color input and speech input. For color recognition, the system could detect primary colors like red, green, and blue in real-time video frames or offline images. For speech recognition, audio input was compared to pre-recorded audio files to perform operations like opening a web browser. The algorithms and results of the color detection and speech recognition are explained in detail with figures and flowcharts. The system achieved 98% accuracy in color detection and could open programs based on the detected speech input.
An introductory lecture on Context-Oriented Programming, part of the course LINGI2252 “Software Maintenance and Evolution”, given by Prof. Kim Mens at UCL, Belgium. This particular lecture was made by Dr. Sebastian Gonzalez in close collaboration with Prof. Kim Mens.
AI for UI: How AI technology may support human-technology interaction by Roop...Mindtrek
AI IN FUTURE TECHNOLOGIES - Wednesday 29th
ROOPE RAISAMO, Professor, Tampere University
Smart City Mindtrek 2020 – conference
28th-29th January
Tampere, Finland
www.mindtrek.org/2020/
This document discusses context awareness and context-aware computing. It defines context as any information that can help characterize an entity's situation, including a user's environment, location, identity, and activity. Context-aware systems use context to provide relevant information and services to users. The document classifies different types of context and discusses how context-aware systems sense context, interpret it ("think"), and take appropriate actions. It also outlines some challenges in building context-aware applications, such as accurately representing and inferring context.
Research Group 'Multimedia Communication' Presentation (March 2015)hellwagner
The document describes the Research Group Multimedia Communication (MMC) at the Alpen-Adria-Universität Klagenfurt in Austria. The MMC conducts research in areas related to multimedia communication, quality of experience, adaptive video streaming, and more. Current research projects include BRIDGE, which develops technologies for emergency response, and CONCERT, an international basic research project on intelligent content adaptation. The group is led by Prof. Hermann Hellwagner and Associate Prof. Christian Timmerer and has been involved in several European Commission and Austrian funded projects.
The quest for realizing Smart Environments has taken place for the last 30 years. Diverse adaptations of the original UbiComp vision have been developed, each highlighting diverse aspects who have been considered critical to enable a wider and more acceptable adoption of Smart Environments. Notable examples of such interesting adaptations are Context-aware Computing, Sentient Computing, Ambient Intelligence, Ambient Assisted Living and Internet of Everything. Under those different umbrella terms, researchers have explored the 3 stage enabling equation for Smart Environments, i.e. “SENSE + PROCESS = ACT”, i.e. spaces where the environment is aware of the needs, profiles and preferences from the sensed users and accommodates its behaviour to ease their daily interactions. Contributions around these different perspectives and applied to distinct environments, i.e. Smart Offices, Smart Homes, Smart Factories or Smart Cities, have been produced, all addressing the challenges posed by ever more complex systems of systems populated by multiple users. This talk will exemplify research results on how to accomplish these three core steps. Firstly, in the SENSE part, the importance of location sensing and the spread of low cost highly dense sensing environments (RFID, NFC or low range Bluetooth) will be described. Secondly, the PROCESS stage where ever more sophisticated analytics mechanisms to take into account historic and real-time data are considered, combining domain-driven (rules) and data-driven solutions, will be analysed. Thirdly, the ACT stage will be explored, considering the evolution from reactive to learning persuasive environments which aim to collaborate with their users. Thus, a middle ground fostering collaboration between smart things and people will be defended giving place to Smarter environments. The implications of the Smarter environments approach will be illustrated with use cases in the Open Government and Efficient Energy Management domains.
A Survey Of Context-Aware Mobile Computing ResearchKelly Lipiec
This document provides a survey of research on context-aware mobile computing systems and applications. It discusses definitions of context, including categories of context like computing context, user context, physical context, and time context. The document also defines context as the set of environmental states and settings that determine an application's behavior or where application events occur and are interesting to the user. It surveys context-aware applications and how they sense and model contextual information. The difficulties and potential solutions outlined will help researchers make context-aware computing a reality.
This document presents a prototype for a distributed emergency context service (DECS) that uses mobile devices and cloud computing. It discusses (1) the architecture of DECS, including its event-based workflow and use of Google App Engine and Web Toolkit, (2) the development of three prototypes with different client-server implementations, and (3) the evaluation of web application frameworks for ubiquitous computing applications.
This document discusses context awareness and context-aware systems. It begins by defining context as the surrounding environment, location, or situation that determines the meaning of an event. An entity is defined as anything relevant to the interaction between a user and an application, including the user and application themselves.
The document then classifies different types of context, including computing, user, environmental, and physical context. It explains that context awareness allows a system to sense and act upon information about its environment. Context-aware systems can take automatic action or provide intelligent assistance based on sensed context like location, time, temperature, or user identity.
Finally, the document discusses challenges in building context-aware systems and applications, such as representing context
Research Overview about the Multimedia Communications Lab (KOM) - Technische Universität Darmstadt - Germany
Research areas towards Adaptive Seamless Multimedia Communications are: Knowledge & Educational Technologies, Multimedia Technologies & Serious Games, Mobile Systems & Sensor Networks, Self-organizing Systems & Overlay Communications, Service-oriented Computing
Novi Sad AI is the first AI community in Serbia with goal of democratizing knowledge of AI. On our first event we talked about Belief networks, Deep learning and many more.
Eye(I) Still Know! – An App for the Blind Built using Web and AIDr. Amarjeet Singh
This paper proposes eye(I) still know!, a voice control solution for the visually impaired people. The main purpose is even though the blind cannot see they can still know where to go and what to do! Nearby 60% of total blind population across the world is present in India. In a time where no one likes to rely on anyone, this is a small effort to make the blind independent individuals. This can be achieved using wireless communication, voice recognition and image scanning. The application with the use of object identification will priorly inform about the barriers in the path.
The software will use the camera of the device and scan all the obstacles with their corresponding distances from the user. This will be followed by audio instructions through audio output of the device.
This will efficiently direct the user through his/her way.
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.
Let's Integrate MuleSoft RPA, COMPOSER, APM with AWS IDP along with Slackshyamraj55
Discover the seamless integration of RPA (Robotic Process Automation), COMPOSER, and APM with AWS IDP enhanced with Slack notifications. Explore how these technologies converge to streamline workflows, optimize performance, and ensure secure access, all while leveraging the power of AWS IDP and real-time communication via Slack notifications.
leewayhertz.com-AI in predictive maintenance Use cases technologies benefits ...alexjohnson7307
Predictive maintenance is a proactive approach that anticipates equipment failures before they happen. At the forefront of this innovative strategy is Artificial Intelligence (AI), which brings unprecedented precision and efficiency. AI in predictive maintenance is transforming industries by reducing downtime, minimizing costs, and enhancing productivity.
Nunit vs XUnit vs MSTest Differences Between These Unit Testing Frameworks.pdfflufftailshop
When it comes to unit testing in the .NET ecosystem, developers have a wide range of options available. Among the most popular choices are NUnit, XUnit, and MSTest. These unit testing frameworks provide essential tools and features to help ensure the quality and reliability of code. However, understanding the differences between these frameworks is crucial for selecting the most suitable one for your projects.
In the rapidly evolving landscape of technologies, XML continues to play a vital role in structuring, storing, and transporting data across diverse systems. The recent advancements in artificial intelligence (AI) present new methodologies for enhancing XML development workflows, introducing efficiency, automation, and intelligent capabilities. This presentation will outline the scope and perspective of utilizing AI in XML development. The potential benefits and the possible pitfalls will be highlighted, providing a balanced view of the subject.
We will explore the capabilities of AI in understanding XML markup languages and autonomously creating structured XML content. Additionally, we will examine the capacity of AI to enrich plain text with appropriate XML markup. Practical examples and methodological guidelines will be provided to elucidate how AI can be effectively prompted to interpret and generate accurate XML markup.
Further emphasis will be placed on the role of AI in developing XSLT, or schemas such as XSD and Schematron. We will address the techniques and strategies adopted to create prompts for generating code, explaining code, or refactoring the code, and the results achieved.
The discussion will extend to how AI can be used to transform XML content. In particular, the focus will be on the use of AI XPath extension functions in XSLT, Schematron, Schematron Quick Fixes, or for XML content refactoring.
The presentation aims to deliver a comprehensive overview of AI usage in XML development, providing attendees with the necessary knowledge to make informed decisions. Whether you’re at the early stages of adopting AI or considering integrating it in advanced XML development, this presentation will cover all levels of expertise.
By highlighting the potential advantages and challenges of integrating AI with XML development tools and languages, the presentation seeks to inspire thoughtful conversation around the future of XML development. We’ll not only delve into the technical aspects of AI-powered XML development but also discuss practical implications and possible future directions.
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.
Main news related to the CCS TSI 2023 (2023/1695)Jakub Marek
An English 🇬🇧 translation of a presentation to the speech I gave about the main changes brought by CCS TSI 2023 at the biggest Czech conference on Communications and signalling systems on Railways, which was held in Clarion Hotel Olomouc from 7th to 9th November 2023 (konferenceszt.cz). Attended by around 500 participants and 200 on-line followers.
The original Czech 🇨🇿 version of the presentation can be found here: https://www.slideshare.net/slideshow/hlavni-novinky-souvisejici-s-ccs-tsi-2023-2023-1695/269688092 .
The videorecording (in Czech) from the presentation is available here: https://youtu.be/WzjJWm4IyPk?si=SImb06tuXGb30BEH .
Skybuffer AI: Advanced Conversational and Generative AI Solution on SAP Busin...Tatiana Kojar
Skybuffer AI, built on the robust SAP Business Technology Platform (SAP BTP), is the latest and most advanced version of our AI development, reaffirming our commitment to delivering top-tier AI solutions. Skybuffer AI harnesses all the innovative capabilities of the SAP BTP in the AI domain, from Conversational AI to cutting-edge Generative AI and Retrieval-Augmented Generation (RAG). It also helps SAP customers safeguard their investments into SAP Conversational AI and ensure a seamless, one-click transition to SAP Business AI.
With Skybuffer AI, various AI models can be integrated into a single communication channel such as Microsoft Teams. This integration empowers business users with insights drawn from SAP backend systems, enterprise documents, and the expansive knowledge of Generative AI. And the best part of it is that it is all managed through our intuitive no-code Action Server interface, requiring no extensive coding knowledge and making the advanced AI accessible to more users.
GraphRAG for Life Science to increase LLM accuracyTomaz Bratanic
GraphRAG for life science domain, where you retriever information from biomedical knowledge graphs using LLMs to increase the accuracy and performance of generated answers
Fueling AI with Great Data with Airbyte WebinarZilliz
This talk will focus on how to collect data from a variety of sources, leveraging this data for RAG and other GenAI use cases, and finally charting your course to productionalization.
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!
TrustArc Webinar - 2024 Global Privacy SurveyTrustArc
How does your privacy program stack up against your peers? What challenges are privacy teams tackling and prioritizing in 2024?
In the fifth annual Global Privacy Benchmarks Survey, we asked over 1,800 global privacy professionals and business executives to share their perspectives on the current state of privacy inside and outside of their organizations. This year’s report focused on emerging areas of importance for privacy and compliance professionals, including considerations and implications of Artificial Intelligence (AI) technologies, building brand trust, and different approaches for achieving higher privacy competence scores.
See how organizational priorities and strategic approaches to data security and privacy are evolving around the globe.
This webinar will review:
- The top 10 privacy insights from the fifth annual Global Privacy Benchmarks Survey
- The top challenges for privacy leaders, practitioners, and organizations in 2024
- Key themes to consider in developing and maintaining your privacy program
Trusted Execution Environment for Decentralized Process MiningLucaBarbaro3
Presentation of the paper "Trusted Execution Environment for Decentralized Process Mining" given during the CAiSE 2024 Conference in Cyprus on June 7, 2024.
Taking AI to the Next Level in Manufacturing.pdfssuserfac0301
Read Taking AI to the Next Level in Manufacturing to gain insights on AI adoption in the manufacturing industry, such as:
1. How quickly AI is being implemented in manufacturing.
2. Which barriers stand in the way of AI adoption.
3. How data quality and governance form the backbone of AI.
4. Organizational processes and structures that may inhibit effective AI adoption.
6. Ideas and approaches to help build your organization's AI strategy.
Generating privacy-protected synthetic data using Secludy and MilvusZilliz
During this demo, the founders of Secludy will demonstrate how their system utilizes Milvus to store and manipulate embeddings for generating privacy-protected synthetic data. Their approach not only maintains the confidentiality of the original data but also enhances the utility and scalability of LLMs under privacy constraints. Attendees, including machine learning engineers, data scientists, and data managers, will witness first-hand how Secludy's integration with Milvus empowers organizations to harness the power of LLMs securely and efficiently.
Letter and Document Automation for Bonterra Impact Management (fka Social Sol...Jeffrey Haguewood
Sidekick Solutions uses Bonterra Impact Management (fka Social Solutions Apricot) and automation solutions to integrate data for business workflows.
We believe integration and automation are essential to user experience and the promise of efficient work through technology. Automation is the critical ingredient to realizing that full vision. We develop integration products and services for Bonterra Case Management software to support the deployment of automations for a variety of use cases.
This video focuses on automated letter generation for Bonterra Impact Management using Google Workspace or Microsoft 365.
Interested in deploying letter generation automations for Bonterra Impact Management? Contact us at sales@sidekicksolutionsllc.com to discuss next steps.
Unlock the Future of Search with MongoDB Atlas_ Vector Search Unleashed.pdfMalak Abu Hammad
Discover how MongoDB Atlas and vector search technology can revolutionize your application's search capabilities. This comprehensive presentation covers:
* What is Vector Search?
* Importance and benefits of vector search
* Practical use cases across various industries
* Step-by-step implementation guide
* Live demos with code snippets
* Enhancing LLM capabilities with vector search
* Best practices and optimization strategies
Perfect for developers, AI enthusiasts, and tech leaders. Learn how to leverage MongoDB Atlas to deliver highly relevant, context-aware search results, transforming your data retrieval process. Stay ahead in tech innovation and maximize the potential of your applications.
#MongoDB #VectorSearch #AI #SemanticSearch #TechInnovation #DataScience #LLM #MachineLearning #SearchTechnology
Unlock the Future of Search with MongoDB Atlas_ Vector Search Unleashed.pdf
90seconds Presentation
1. Prof. Dr. Armin B. Cremers, Prof. Dr. Albrecht Schmidt, Holger Mügge, Dagmar Kern, Paul Holleis, Julia Kuck, Alexander Goth, Tobias Rho, Daniel Speicher , Pascal Bihler
3. Context aware communication • Human interaction with communication devices. • Example: how people get affected in presence and absence of these devices. 1) Grocery store. 2) Ringing of mobile phones or other communication 3) Many more……… • Question arise how to sort out the related issues.? • Solution : Context aware communication. • Location based device concept. • Evolves M to M and H to M interaction. device in mobile restricted areas.
5. Seminar Context-Aware and Ambient Applications Topic: Context-Awareness realization and User Interface Design Ming QI , 276777 Media Informatics
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9. Location and context-aware user interfaces - Flexible User Interfaces for Mobile Devices Ming QI , 276777 Media Informatics Tim Clerckx and Karin Coninx Hasselt University
10. Ming QI , 276777 Media Informatics Carnegie Mellon University
11. Seminar Context-Aware and Ambient Applications Ming QI , 276777 Media Informatics Thanks for attention! Detail information is been compiling! Vielen Dank!
20. From Context to Situation – Applying Formal Concept Analysis ? Hongqi Wang
21. From Context to Situation – Applying Formal Concept Analysis
22. What is Formal Concept Analysis Concept Formal Concept Analysis information information information Concept Lattice of Information Concept C = (E,P)
23. Example O X O X Wednesday Morning O O X X Tuesday Evening O X O X Monday Morning X O X O Sunday Noon Family Train Car Laptop
24. Example Family Car Laptop O2: Tue Eve Train O1: Sun Noon O3: Wed Morning O4: Mon Morning
25. FCA in Ambient Computing Situation Information Information Information Concept Information Information Information
26. Example Family Car Laptop O2:Tue Eve Train O1:Sun Noon O3:Wed Morning O4:Mon Morning Family Vocation Business Trip
27. FCA in Ambient Computing e.g. Situation ->Service Situation Situation Situation Situation
29. Architectures and middleware for context-aware systems - Context-Specific discovery of Services using Ontological Florian Kronenberg
30. Context-aware service-oriented architectures Architectures and middleware for contex-aware systems Context-specific discovery of services context management: representation and reasoning informal representations, e.g. natural language formal representations, e.g. ontology-based dedicated context provider services dynamically adapting autonomous devices B-IT Seminar ”Context-aware and ambient systems” Florian Kronenberg