The document outlines an open data project to provide disaster response workers with convenient access to near real-time aerial imagery. It identifies MODIS satellite data from NASA as an open data source of daily imagery but notes it is difficult to access in the field. The project created a tile server and user-friendly interface using OpenLayers to display the MODIS imagery, resolving the problem by giving responders a convenient way to access the near real-time Earth imagery.
This panel discussion focused on the reliability and liability of crowdsourced and volunteer information in disaster management. It discussed various volunteer technology communities and tools for crowdsourcing mapping data during disasters. Concerns were raised about the verifiability and reliability of crowd-mapped data, specifically regarding who is submitting data and the quality. Approaches to improve reliability through validation, training, source cross-checking and automated tools were presented. Legal risks to volunteers, emergency managers relying on crowdsourced data, and the public making decisions based on unverified data were highlighted as issues to address.
CrisisCommons is a global network of volunteers who help during times of crisis using technology. It was founded in 2009 to unite volunteer technologists, organizations, and innovators to build tools to support crisis response. CrisisCamps are events that bring these groups together to work on tools for crisis preparedness, response, and relief. Over 50 camps have been held in 10 countries. Examples of tools developed include maps of crisis areas and systems to track hospital capacity and resources.
The document proposes a mobile data collection system to improve coordination and efficiency in urban search and rescue efforts. The current practice of manually recording and sharing data results in delays, whereas the new system allows rescuers in the field to collect and share geo-located data, photos, and notes to provide a global picture of the search status. The data is stored locally and uploaded when an internet connection is available, without relying on immediate connectivity. This increases coordination between search and rescue teams and speeds up rescue efforts, which can save lives.
This document discusses how to effectively spend limited resources to address landslides triggered by rainfall. It notes that land development can cause landslides, which are dangerous and common. It proposes collecting crowdsourced data and using design principles to inform decision making about how to spend money to stop landslides, presenting a demo and soliciting user feedback on the potential impact.
PersonFinder Alice Bonhomme-Blais Ross Heflin Chen Li and his UCI students Will Robinson discussed the need to share data and looked for Paul after merging data. A new full-text search feature allows searching on all attributes by modifying the PF codebase to store inverted lists as objects and retrieve and intersect the lists for each keyword. Demos showed the full-text search and a Twitter interface for PersonFinder to search without being tied to the web. The vision is to search for people on Twitter and reply with found entries.
Elaboracion de un marco teorico para proyectos educativos Universidad America...Javier Armendariz
Este documento discute la importancia y funciones del marco teórico en cualquier investigación, ya sea cuantitativa o cualitativa. Explica que el marco teórico ayuda a orientar el estudio, prevenir errores, interpretar resultados e inspirar nuevas líneas de investigación. También describe las etapas de elaboración de un marco teórico, incluyendo la revisión de literatura, selección de una teoría y criterios para evaluar teorías.
The document outlines an open data project to provide disaster response workers with convenient access to near real-time aerial imagery. It identifies MODIS satellite data from NASA as an open data source of daily imagery but notes it is difficult to access in the field. The project created a tile server and user-friendly interface using OpenLayers to display the MODIS imagery, resolving the problem by giving responders a convenient way to access the near real-time Earth imagery.
This panel discussion focused on the reliability and liability of crowdsourced and volunteer information in disaster management. It discussed various volunteer technology communities and tools for crowdsourcing mapping data during disasters. Concerns were raised about the verifiability and reliability of crowd-mapped data, specifically regarding who is submitting data and the quality. Approaches to improve reliability through validation, training, source cross-checking and automated tools were presented. Legal risks to volunteers, emergency managers relying on crowdsourced data, and the public making decisions based on unverified data were highlighted as issues to address.
CrisisCommons is a global network of volunteers who help during times of crisis using technology. It was founded in 2009 to unite volunteer technologists, organizations, and innovators to build tools to support crisis response. CrisisCamps are events that bring these groups together to work on tools for crisis preparedness, response, and relief. Over 50 camps have been held in 10 countries. Examples of tools developed include maps of crisis areas and systems to track hospital capacity and resources.
The document proposes a mobile data collection system to improve coordination and efficiency in urban search and rescue efforts. The current practice of manually recording and sharing data results in delays, whereas the new system allows rescuers in the field to collect and share geo-located data, photos, and notes to provide a global picture of the search status. The data is stored locally and uploaded when an internet connection is available, without relying on immediate connectivity. This increases coordination between search and rescue teams and speeds up rescue efforts, which can save lives.
This document discusses how to effectively spend limited resources to address landslides triggered by rainfall. It notes that land development can cause landslides, which are dangerous and common. It proposes collecting crowdsourced data and using design principles to inform decision making about how to spend money to stop landslides, presenting a demo and soliciting user feedback on the potential impact.
PersonFinder Alice Bonhomme-Blais Ross Heflin Chen Li and his UCI students Will Robinson discussed the need to share data and looked for Paul after merging data. A new full-text search feature allows searching on all attributes by modifying the PF codebase to store inverted lists as objects and retrieve and intersect the lists for each keyword. Demos showed the full-text search and a Twitter interface for PersonFinder to search without being tied to the web. The vision is to search for people on Twitter and reply with found entries.
Elaboracion de un marco teorico para proyectos educativos Universidad America...Javier Armendariz
Este documento discute la importancia y funciones del marco teórico en cualquier investigación, ya sea cuantitativa o cualitativa. Explica que el marco teórico ayuda a orientar el estudio, prevenir errores, interpretar resultados e inspirar nuevas líneas de investigación. También describe las etapas de elaboración de un marco teórico, incluyendo la revisión de literatura, selección de una teoría y criterios para evaluar teorías.
The document discusses grids and their potential use for data mining applications in Earth science. Some key points:
- Grids can connect distributed computing and data resources to enable large-scale applications and collaboration.
- The Grid Miner application was developed to mine satellite data on NASA's Information Power Grid as a demonstration.
- Grids could help couple satellite data archives to computational resources, allowing users to process large datasets.
- For this to be realized, data archives need to be connected to grids and tools developed to enable scientists to access and analyze data.
Jim Gray was a software genius at Microsoft Research who was interested in databases and making science more productive. He received the Turing Award and took his sailboat out in 2007 but never returned. He wanted to see a digital survey of the sky created and helped connect World Wind to sky survey data, allowing anyone to explore the known universe. World Wind provides an API that allows any application to visualize and interact with spatial data, serving as a reusable platform for others to build upon.
Advancing open source geospatial software for the do d ic edward pickle openg...Joshua L. Davis
The document discusses OpenGeo, an open source geospatial software company. It summarizes OpenGeo's products and services, including the OpenGeo Suite which bundles several open source geospatial projects. It also discusses how OpenGeo software is being used by organizations for mapping, visualization, and publishing geospatial data.
Application of Distributed processing and Big data in agricultural DSSAnusha Basavaraj
This document outlines a presentation on the Big Weather solution, an agricultural decision support system that utilizes big data and distributed processing. It discusses key concepts like decision support systems, big data, Hadoop, and cloud computing. The Big Weather system architecture is described as having three main modules: a web portal, data server, and Hadoop cluster. Test results showed improved job processing times when increasing the number of virtual machines in the Hadoop cluster. The presentation concludes that the Big Weather solution can help farmers improve productivity based on climate data.
Open Cloud Consortium: An Update (04-23-10, v9)Robert Grossman
The Open Cloud Consortium (OCC) is a non-profit organization that supports the development of cloud computing standards and technologies. It manages several testbeds and working groups focused on areas like large data clouds, interoperability, and disaster relief applications. The document provides updates on the OCC's Intercloud Testbed, which aims to address gaps in cloud standards, as well as its Open Cloud Testbed which offers resources to members through a "condominium cloud" model.
REAL-TIME INTRUSION DETECTION SYSTEM FOR BIG DATAijp2p
The objective of the proposed system is to integrate the high volume of data along with the important
considerations like monitoring a wide array of heterogeneous security. When a real time cyber attack
occurred, the Intrusion Detection System automatically store the log in distributed environment and
monitor the log with existing intrusion dictionary. At the same time the system will check and categorize the
severity of the log to high, medium, and low respectively. After the categorization, the system will
automatically take necessary action against the user-unit with respect to the severity of the log. The
advantage of the system is that it utilize anomaly detection, evaluates data and issue alert message or
reports based on abnormal behaviour.
Integration for Planet Satellite ImagerySafe Software
Planet offers up-to-date, high-quality images of the entire earth from 150+ satellites. Learn how to build automated workflows that integrate your data with these images in various ways. You’ll see how to transform and analyze bands, blend your data with the most up-to-date satellite images, and create cloud-based workflows to deliver images automatically. We’ll walk through an example that overlays live transit data on an up-to-date basemap with minimal cloud coverage. Plus, see what’s in beta for FME 2018 and Planet basemaps.
This paper describes a cloud computing platform called CryoCloud that is designed to enable open and collaborative cryosphere science. CryoCloud provides a simple and cost-effective managed cloud environment for training users in cloud workflows and determining best
OpenRelief is developing unmanned aerial vehicles and sensor modules to gather information in disaster zones to help relief efforts. Their first project is a flexible robotic plane that can take off from small areas, map landscapes, and measure conditions using modular sensors. The goal is for these open source tools to provide critical data to existing disaster management platforms to help get aid to those who need it most.
This document discusses efficient analysis of big data using the MapReduce framework. It introduces the challenges of analyzing large and complex datasets, and describes how MapReduce addresses these challenges through its map and reduce functions. MapReduce allows distributed processing of big data across clusters of computers using a simple programming model.
1) Jim Gray was a renowned software engineer at Microsoft Research known for his work in databases and transaction processing systems. He received the Turing Award in 1998.
2) Gray wanted to create a digital survey of the sky. With his leadership and support from Microsoft, the World Wind project was able to visualize astronomical data and allow users to explore the known universe.
3) For NASA projects to be more successful as open source, they should provide generic, API-centric technologies in commonly used open source licenses to inspire broader collaboration and reuse of capabilities.
Project Matsu: Elastic Clouds for Disaster ReliefRobert Grossman
The document discusses Project Matsu, an initiative by the Open Cloud Consortium to provide cloud computing resources for large-scale image processing to assist with disaster relief. It proposes three technical approaches: 1) Using Hadoop and MapReduce to process images in parallel across nodes; 2) Using Hadoop streaming with Python to preprocess images into a single file for processing; and 3) Using the Sector distributed file system and Sphere UDFs to process images while keeping them together on nodes without splitting files. The overall goal is to enable elastic computing on petabyte-scale image datasets for change detection and other analyses to support disaster response.
How to develop a mobile app for events and conferences with little to no reso...Matthew Shoup
This document discusses developing a mobile app for a conference with 3200+ attendees on a tight 2-month schedule. It outlines building the app's core features like the agenda, connections, and ratings. It also covers technical details like using PhoneGap and HTML5 for cross-platform support, Node.js and caching for scalability, and pushing last-minute updates. The timeline shows starting with iOS first due to app approval times and tracking the growing engagement metrics like members, page views, and connections over subsequent conferences.
This document discusses big data and Hadoop frameworks for managing large volumes of data. It begins with an overview of how data generation has increased exponentially from employees to users to machines. Next, it discusses the history of big data technologies like Google File System and MapReduce, which were combined to create Hadoop. The document then covers sources of big data, challenges of big data, and how Hadoop provides a solution through distributed processing and its core components like HDFS and MapReduce. Finally, data processing techniques with traditional databases versus Hadoop are compared.
"Scaling RAG Applications to serve millions of users", Kevin GoedeckeFwdays
How we managed to grow and scale a RAG application from zero to thousands of users in 7 months. Lessons from technical challenges around managing high load for LLMs, RAGs and Vector databases.
Have you ever been confused by the myriad of choices offered by AWS for hosting a website or an API?
Lambda, Elastic Beanstalk, Lightsail, Amplify, S3 (and more!) can each host websites + APIs. But which one should we choose?
Which one is cheapest? Which one is fastest? Which one will scale to meet our needs?
Join me in this session as we dive into each AWS hosting service to determine which one is best for your scenario and explain why!
The document discusses grids and their potential use for data mining applications in Earth science. Some key points:
- Grids can connect distributed computing and data resources to enable large-scale applications and collaboration.
- The Grid Miner application was developed to mine satellite data on NASA's Information Power Grid as a demonstration.
- Grids could help couple satellite data archives to computational resources, allowing users to process large datasets.
- For this to be realized, data archives need to be connected to grids and tools developed to enable scientists to access and analyze data.
Jim Gray was a software genius at Microsoft Research who was interested in databases and making science more productive. He received the Turing Award and took his sailboat out in 2007 but never returned. He wanted to see a digital survey of the sky created and helped connect World Wind to sky survey data, allowing anyone to explore the known universe. World Wind provides an API that allows any application to visualize and interact with spatial data, serving as a reusable platform for others to build upon.
Advancing open source geospatial software for the do d ic edward pickle openg...Joshua L. Davis
The document discusses OpenGeo, an open source geospatial software company. It summarizes OpenGeo's products and services, including the OpenGeo Suite which bundles several open source geospatial projects. It also discusses how OpenGeo software is being used by organizations for mapping, visualization, and publishing geospatial data.
Application of Distributed processing and Big data in agricultural DSSAnusha Basavaraj
This document outlines a presentation on the Big Weather solution, an agricultural decision support system that utilizes big data and distributed processing. It discusses key concepts like decision support systems, big data, Hadoop, and cloud computing. The Big Weather system architecture is described as having three main modules: a web portal, data server, and Hadoop cluster. Test results showed improved job processing times when increasing the number of virtual machines in the Hadoop cluster. The presentation concludes that the Big Weather solution can help farmers improve productivity based on climate data.
Open Cloud Consortium: An Update (04-23-10, v9)Robert Grossman
The Open Cloud Consortium (OCC) is a non-profit organization that supports the development of cloud computing standards and technologies. It manages several testbeds and working groups focused on areas like large data clouds, interoperability, and disaster relief applications. The document provides updates on the OCC's Intercloud Testbed, which aims to address gaps in cloud standards, as well as its Open Cloud Testbed which offers resources to members through a "condominium cloud" model.
REAL-TIME INTRUSION DETECTION SYSTEM FOR BIG DATAijp2p
The objective of the proposed system is to integrate the high volume of data along with the important
considerations like monitoring a wide array of heterogeneous security. When a real time cyber attack
occurred, the Intrusion Detection System automatically store the log in distributed environment and
monitor the log with existing intrusion dictionary. At the same time the system will check and categorize the
severity of the log to high, medium, and low respectively. After the categorization, the system will
automatically take necessary action against the user-unit with respect to the severity of the log. The
advantage of the system is that it utilize anomaly detection, evaluates data and issue alert message or
reports based on abnormal behaviour.
Integration for Planet Satellite ImagerySafe Software
Planet offers up-to-date, high-quality images of the entire earth from 150+ satellites. Learn how to build automated workflows that integrate your data with these images in various ways. You’ll see how to transform and analyze bands, blend your data with the most up-to-date satellite images, and create cloud-based workflows to deliver images automatically. We’ll walk through an example that overlays live transit data on an up-to-date basemap with minimal cloud coverage. Plus, see what’s in beta for FME 2018 and Planet basemaps.
This paper describes a cloud computing platform called CryoCloud that is designed to enable open and collaborative cryosphere science. CryoCloud provides a simple and cost-effective managed cloud environment for training users in cloud workflows and determining best
OpenRelief is developing unmanned aerial vehicles and sensor modules to gather information in disaster zones to help relief efforts. Their first project is a flexible robotic plane that can take off from small areas, map landscapes, and measure conditions using modular sensors. The goal is for these open source tools to provide critical data to existing disaster management platforms to help get aid to those who need it most.
This document discusses efficient analysis of big data using the MapReduce framework. It introduces the challenges of analyzing large and complex datasets, and describes how MapReduce addresses these challenges through its map and reduce functions. MapReduce allows distributed processing of big data across clusters of computers using a simple programming model.
1) Jim Gray was a renowned software engineer at Microsoft Research known for his work in databases and transaction processing systems. He received the Turing Award in 1998.
2) Gray wanted to create a digital survey of the sky. With his leadership and support from Microsoft, the World Wind project was able to visualize astronomical data and allow users to explore the known universe.
3) For NASA projects to be more successful as open source, they should provide generic, API-centric technologies in commonly used open source licenses to inspire broader collaboration and reuse of capabilities.
Project Matsu: Elastic Clouds for Disaster ReliefRobert Grossman
The document discusses Project Matsu, an initiative by the Open Cloud Consortium to provide cloud computing resources for large-scale image processing to assist with disaster relief. It proposes three technical approaches: 1) Using Hadoop and MapReduce to process images in parallel across nodes; 2) Using Hadoop streaming with Python to preprocess images into a single file for processing; and 3) Using the Sector distributed file system and Sphere UDFs to process images while keeping them together on nodes without splitting files. The overall goal is to enable elastic computing on petabyte-scale image datasets for change detection and other analyses to support disaster response.
How to develop a mobile app for events and conferences with little to no reso...Matthew Shoup
This document discusses developing a mobile app for a conference with 3200+ attendees on a tight 2-month schedule. It outlines building the app's core features like the agenda, connections, and ratings. It also covers technical details like using PhoneGap and HTML5 for cross-platform support, Node.js and caching for scalability, and pushing last-minute updates. The timeline shows starting with iOS first due to app approval times and tracking the growing engagement metrics like members, page views, and connections over subsequent conferences.
This document discusses big data and Hadoop frameworks for managing large volumes of data. It begins with an overview of how data generation has increased exponentially from employees to users to machines. Next, it discusses the history of big data technologies like Google File System and MapReduce, which were combined to create Hadoop. The document then covers sources of big data, challenges of big data, and how Hadoop provides a solution through distributed processing and its core components like HDFS and MapReduce. Finally, data processing techniques with traditional databases versus Hadoop are compared.
Similar to RHoK 2 Chicago - Open data project-1 (20)
"Scaling RAG Applications to serve millions of users", Kevin GoedeckeFwdays
How we managed to grow and scale a RAG application from zero to thousands of users in 7 months. Lessons from technical challenges around managing high load for LLMs, RAGs and Vector databases.
Have you ever been confused by the myriad of choices offered by AWS for hosting a website or an API?
Lambda, Elastic Beanstalk, Lightsail, Amplify, S3 (and more!) can each host websites + APIs. But which one should we choose?
Which one is cheapest? Which one is fastest? Which one will scale to meet our needs?
Join me in this session as we dive into each AWS hosting service to determine which one is best for your scenario and explain why!
"Frontline Battles with DDoS: Best practices and Lessons Learned", Igor IvaniukFwdays
At this talk we will discuss DDoS protection tools and best practices, discuss network architectures and what AWS has to offer. Also, we will look into one of the largest DDoS attacks on Ukrainian infrastructure that happened in February 2022. We'll see, what techniques helped to keep the web resources available for Ukrainians and how AWS improved DDoS protection for all customers based on Ukraine experience
The Department of Veteran Affairs (VA) invited Taylor Paschal, Knowledge & Information Management Consultant at Enterprise Knowledge, to speak at a Knowledge Management Lunch and Learn hosted on June 12, 2024. All Office of Administration staff were invited to attend and received professional development credit for participating in the voluntary event.
The objectives of the Lunch and Learn presentation were to:
- Review what KM ‘is’ and ‘isn’t’
- Understand the value of KM and the benefits of engaging
- Define and reflect on your “what’s in it for me?”
- Share actionable ways you can participate in Knowledge - - Capture & Transfer
"Choosing proper type of scaling", Olena SyrotaFwdays
Imagine an IoT processing system that is already quite mature and production-ready and for which client coverage is growing and scaling and performance aspects are life and death questions. The system has Redis, MongoDB, and stream processing based on ksqldb. In this talk, firstly, we will analyze scaling approaches and then select the proper ones for our system.
In the realm of cybersecurity, offensive security practices act as a critical shield. By simulating real-world attacks in a controlled environment, these techniques expose vulnerabilities before malicious actors can exploit them. This proactive approach allows manufacturers to identify and fix weaknesses, significantly enhancing system security.
This presentation delves into the development of a system designed to mimic Galileo's Open Service signal using software-defined radio (SDR) technology. We'll begin with a foundational overview of both Global Navigation Satellite Systems (GNSS) and the intricacies of digital signal processing.
The presentation culminates in a live demonstration. We'll showcase the manipulation of Galileo's Open Service pilot signal, simulating an attack on various software and hardware systems. This practical demonstration serves to highlight the potential consequences of unaddressed vulnerabilities, emphasizing the importance of offensive security practices in safeguarding critical infrastructure.
Freshworks Rethinks NoSQL for Rapid Scaling & Cost-EfficiencyScyllaDB
Freshworks creates AI-boosted business software that helps employees work more efficiently and effectively. Managing data across multiple RDBMS and NoSQL databases was already a challenge at their current scale. To prepare for 10X growth, they knew it was time to rethink their database strategy. Learn how they architected a solution that would simplify scaling while keeping costs under control.
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.
Session 1 - Intro to Robotic Process Automation.pdfUiPathCommunity
👉 Check out our full 'Africa Series - Automation Student Developers (EN)' page to register for the full program:
https://bit.ly/Automation_Student_Kickstart
In this session, we shall introduce you to the world of automation, the UiPath Platform, and guide you on how to install and setup UiPath Studio on your Windows PC.
📕 Detailed agenda:
What is RPA? Benefits of RPA?
RPA Applications
The UiPath End-to-End Automation Platform
UiPath Studio CE Installation and Setup
💻 Extra training through UiPath Academy:
Introduction to Automation
UiPath Business Automation Platform
Explore automation development with UiPath Studio
👉 Register here for our upcoming Session 2 on June 20: Introduction to UiPath Studio Fundamentals: https://community.uipath.com/events/details/uipath-lagos-presents-session-2-introduction-to-uipath-studio-fundamentals/
AppSec PNW: Android and iOS Application Security with MobSFAjin Abraham
Mobile Security Framework - MobSF is a free and open source automated mobile application security testing environment designed to help security engineers, researchers, developers, and penetration testers to identify security vulnerabilities, malicious behaviours and privacy concerns in mobile applications using static and dynamic analysis. It supports all the popular mobile application binaries and source code formats built for Android and iOS devices. In addition to automated security assessment, it also offers an interactive testing environment to build and execute scenario based test/fuzz cases against the application.
This talk covers:
Using MobSF for static analysis of mobile applications.
Interactive dynamic security assessment of Android and iOS applications.
Solving Mobile app CTF challenges.
Reverse engineering and runtime analysis of Mobile malware.
How to shift left and integrate MobSF/mobsfscan SAST and DAST in your build pipeline.
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.
"$10 thousand per minute of downtime: architecture, queues, streaming and fin...Fwdays
Direct losses from downtime in 1 minute = $5-$10 thousand dollars. Reputation is priceless.
As part of the talk, we will consider the architectural strategies necessary for the development of highly loaded fintech solutions. We will focus on using queues and streaming to efficiently work and manage large amounts of data in real-time and to minimize latency.
We will focus special attention on the architectural patterns used in the design of the fintech system, microservices and event-driven architecture, which ensure scalability, fault tolerance, and consistency of the entire system.
This talk will cover ScyllaDB Architecture from the cluster-level view and zoom in on data distribution and internal node architecture. In the process, we will learn the secret sauce used to get ScyllaDB's high availability and superior performance. We will also touch on the upcoming changes to ScyllaDB architecture, moving to strongly consistent metadata and tablets.
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.
Essentials of Automations: Exploring Attributes & Automation ParametersSafe Software
Building automations in FME Flow can save time, money, and help businesses scale by eliminating data silos and providing data to stakeholders in real-time. One essential component to orchestrating complex automations is the use of attributes & automation parameters (both formerly known as “keys”). In fact, it’s unlikely you’ll ever build an Automation without using these components, but what exactly are they?
Attributes & automation parameters enable the automation author to pass data values from one automation component to the next. During this webinar, our FME Flow Specialists will cover leveraging the three types of these output attributes & parameters in FME Flow: Event, Custom, and Automation. As a bonus, they’ll also be making use of the Split-Merge Block functionality.
You’ll leave this webinar with a better understanding of how to maximize the potential of automations by making use of attributes & automation parameters, with the ultimate goal of setting your enterprise integration workflows up on autopilot.
The Microsoft 365 Migration Tutorial For Beginner.pptxoperationspcvita
This presentation will help you understand the power of Microsoft 365. However, we have mentioned every productivity app included in Office 365. Additionally, we have suggested the migration situation related to Office 365 and how we can help you.
You can also read: https://www.systoolsgroup.com/updates/office-365-tenant-to-tenant-migration-step-by-step-complete-guide/
How information systems are built or acquired puts information, which is what they should be about, in a secondary place. Our language adapted accordingly, and we no longer talk about information systems but applications. Applications evolved in a way to break data into diverse fragments, tightly coupled with applications and expensive to integrate. The result is technical debt, which is re-paid by taking even bigger "loans", resulting in an ever-increasing technical debt. Software engineering and procurement practices work in sync with market forces to maintain this trend. This talk demonstrates how natural this situation is. The question is: can something be done to reverse the trend?
11. MODIS Data is only available in the form of single, gigantic (90M) files which are split by region.
12. We set up a "tile server" and imported key files into this server. We then use the Open Layers platform to display this data in a user-friendly manner which can be scrolled through, zoomed, etc. SOLUTION
13. PROBLEM RESOLVED! We Now Have A Convenient User Interface Which Accesses Near Real Time Earth Imagery.