Drawing organization Charts in VIVO
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This document discusses using VIVO to automatically generate organizational charts from linked data. It describes how the program was designed to create charts for institutions using over 100 graphs created for the University of Florida. The initial charts uncovered data problems and generated interest. The program has evolved and can now find all sub-organizations of UF and will be extended to show relationships between people and their affiliations. An interactive demo is available online.
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This document discusses various online platforms and applications for ICT development. It defines an online platform as technologies grouped to be used as a base for developing other applications, processes, or technologies. Examples of platforms discussed include presentation/visualization tools like Prezi, SlideShare, and MindMeister; cloud computing services like Google Drive and Dropbox; social media sites like Twitter, Facebook, Tumblr, and LinkedIn; web page creators like Wix and Weebly; file management tools like Zamzar and Word2PDF; and mapping services like Google Maps.
Driving Employee Engagement Through A Social Intranet - Federal Communicators...
Driving Employee Engagement Through A Social Intranet - Federal Communicators...Federal Communicators Network
Slides from Kelly Osborn at the U.S. government's National Archives, from an event January 16, 2014, Driving Employee Engagement Through A Social Intranet.Similar to Drawing organization Charts in VIVO (20)
Social Media for HR masterclass to Philips India HR Team
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Athabasca University e-Lab Launch November 2, 2012
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GNSS spoofing via SDR (Criptored Talks 2024)
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.
Mutation Testing for Task-Oriented Chatbots
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.
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Main news related to the CCS TSI 2023 (2023/1695)
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 .
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JavaLand 2024: Application Development Green Masterplan
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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!
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As artificial intelligence inference transitions from cloud environments to edge locations, computer vision applications achieve heightened responsiveness, reliability and privacy. This migration, however, introduces the challenge of operating within the stringent confines of resource constraints typical at the edge, including small form factors, low energy budgets and diminished memory and computational capacities. Axelera AI addresses these challenges through an innovative approach of performing digital computations within memory itself. This technique facilitates the realization of high-performance, energy-efficient and cost-effective computer vision capabilities at the thin and thick edge, extending the frontier of what is achievable with current technologies.
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“Temporal Event Neural Networks: A More Efficient Alternative to the Transfor...
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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.
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Webinar Recording: https://www.panagenda.com/webinars/hcl-notes-und-domino-lizenzkostenreduzierung-in-der-welt-von-dlau/
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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
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Drawing organization Charts in VIVO
- 1. Drawing Organization Charts Using VIVO by Alex Rockwell
- 2. Introduction • Purpose • Program Design • Use Cases • Extending to People
- 3. Purpose • One of the goals of VIVO is to show which organizations faculty, staff, and students belong to. • UF's academic structure is highly complex and does not correspond to its financial structure. • UF does not have a facility to create organizational charts. Most organization charts are created by hand.
- 4. Original Uses • Demonstrate how to work with VIVO's linked data • Create org charts automatically for each institution • Create poster sized drawings for marketing purposes
- 6. Art vs Science • More than 60% of my time on the project has been spent drawing graphs. • Over 100 graphs have been created. • Drawing graphs with 500+ nodes and including labels is extremely difficult.
- 7. First Graph • Extends several feet in both directions • This first result was so bad I nearly scrapped the whole project...
- 8. Evolution
- 9. Evolution
- 10. Evolution
- 11. Evolution
- 12. Immediate Impact • The original picture generated substantial interest in the program. • Showed that writing interesting 3rd party applications on the VIVO platform is possible. • Many problems including missing, misplaced, and duplicated data have been uncovered by the crawler.
- 13. Finding all UF organizations • Over 100 external organizations were added to VIVO during CV entry of the showcase departments. • SPARQL cannot do recursive queries, so we did not have a tool to automatically find all sub-organizations of UF. • Extended the ontology locally with a rootOrganization data property to mark organizations as children of UF.
- 14. Finding Data Problems • Looking at graphs generated by the program has uncovered many problems in our data, including missing, misplaced, and duplicated records. • We can understand the organizational structure much faster by looking at the graph rather than manually following the links from one organization to another.
- 15. Extending to People • Plan to show the relationship between people and their affiliations with departments, centers and institutes. • Need to import data to show the heads of departments. • Finding the right representation will be challenging because UF's VVIO will include close to 30,000 people by the end of the grant.
- 16. Interactive Graph Demo • Demo available at http://qa.vivo.ufl.edu/ infovis/demo.html • Created with JavaScript InfoVis Toolkit (http://thejit.org)
- 17. Contact Information • Alex Rockwell (alexhr@ufl.edu) • Source code available at github.com/arockwell/vivo_org_chart