Yandex.Trafik "Real-time traffic information for avoiding traffic jam"
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How does Yandex.Trafik gathers information and how does it provide solutions to daily trafic problem. If you are curious about "How does Yandex.Trafik is so accurate" you will be interested in this presentation
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Located on the banks of the Buriganga River, Dhaka is the capital of Bangladesh . Along with its
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This document summarizes a presentation on traffic jams in Dhaka, Bangladesh. It introduces the group members and states their topic is on traffic jams and solutions. It then lists some of the main causes of traffic jams in Dhaka such as insufficient roads, poor traffic administration, wrong parking, unfit vehicles, and indifference of people. Potential solutions discussed include infrastructure development, express highways, more public transportation, and citizens being more conscious of their driving habits.
How to write Traffic essay?
Several factors have contributed to traffic congestion in Abu Dhabi, including a lack of public transportation infrastructure, high private vehicle ownership due to economic growth, and an inability of road infrastructure to keep up with population expansion. This congestion has negative effects such as increased pollution, stress, and wasted time and productivity. While Abu Dhabi faces challenges from heavy reliance on private vehicles, the city aims to reduce traffic issues by improving transportation options in the future.
traffic jam detection using image processing
1. The document discusses using image processing techniques to detect traffic jams through analyzing video frames captured by road cameras.
2. Key steps include extracting frames from video, converting to grayscale and binary, applying morphological operations like erosion and dilation, and comparing frames to detect vehicle motion between frames and count vehicles to assess traffic levels.
3. A proposed system sends frame data from cameras to a server for processing, which analyzes frames to determine traffic status and shares this with a mobile app to help users choose alternative routes.
Traffic jam in dhaka
Traffic jams in Dhaka are a common situation caused by insufficient roads, poor traffic administration, wrong parking, unfit vehicles, illegal licenses, construction works, hawkers, lack of alternative buses, political meetings and rallies, government indifference, public unconsciousness. One example calculation shows that spending an hour in traffic jams daily over a 40-year life adds up to spending 1.6 years stuck in traffic, highlighting the problem. Possible solutions include government actions like stopping corruption, systematic parking, clearing hawkers from roads, separate lanes, alternative transport, and peak hour charges, as well as individual actions like carpooling and increased public consciousness.
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Climate Impact of Software Testing at Nordic Testing Days
My slides at Nordic Testing Days 6.6.2024
Climate impact / sustainability of software testing discussed on the talk. ICT and testing must carry their part of global responsibility to help with the climat warming. We can minimize the carbon footprint but we can also have a carbon handprint, a positive impact on the climate. Quality characteristics can be added with sustainability, and then measured continuously. Test environments can be used less, and in smaller scale and on demand. Test techniques can be used in optimizing or minimizing number of tests. Test automation can be used to speed up testing.
“Building and Scaling AI Applications with the Nx AI Manager,” a Presentation...
“Building and Scaling AI Applications with the Nx AI Manager,” a Presentation...Edge AI and Vision Alliance
For the full video of this presentation, please visit: https://www.edge-ai-vision.com/2024/06/building-and-scaling-ai-applications-with-the-nx-ai-manager-a-presentation-from-network-optix/
Robin van Emden, Senior Director of Data Science at Network Optix, presents the “Building and Scaling AI Applications with the Nx AI Manager,” tutorial at the May 2024 Embedded Vision Summit.
In this presentation, van Emden covers the basics of scaling edge AI solutions using the Nx tool kit. He emphasizes the process of developing AI models and deploying them globally. He also showcases the conversion of AI models and the creation of effective edge AI pipelines, with a focus on pre-processing, model conversion, selecting the appropriate inference engine for the target hardware and post-processing.
van Emden shows how Nx can simplify the developer’s life and facilitate a rapid transition from concept to production-ready applications.He provides valuable insights into developing scalable and efficient edge AI solutions, with a strong focus on practical implementation.How to Get CNIC Information System with Paksim Ga.pptx
Pakdata Cf is a groundbreaking system designed to streamline and facilitate access to CNIC information. This innovative platform leverages advanced technology to provide users with efficient and secure access to their CNIC details.
20240607 QFM018 Elixir Reading List May 2024
Everything I found interesting about the Elixir programming ecosystem in May 2024
GraphSummit Singapore | Enhancing Changi Airport Group's Passenger Experience...
Dr. Sean Tan, Head of Data Science, Changi Airport Group
Discover how Changi Airport Group (CAG) leverages graph technologies and generative AI to revolutionize their search capabilities. This session delves into the unique search needs of CAG’s diverse passengers and customers, showcasing how graph data structures enhance the accuracy and relevance of AI-generated search results, mitigating the risk of “hallucinations” and improving the overall customer journey.
Building Production Ready Search Pipelines with Spark and Milvus
Spark is the widely used ETL tool for processing, indexing and ingesting data to serving stack for search. Milvus is the production-ready open-source vector database. In this talk we will show how to use Spark to process unstructured data to extract vector representations, and push the vectors to Milvus vector database for search serving.
HCL Notes und Domino Lizenzkostenreduzierung in der Welt von DLAU
Webinar Recording: https://www.panagenda.com/webinars/hcl-notes-und-domino-lizenzkostenreduzierung-in-der-welt-von-dlau/
DLAU und die Lizenzen nach dem CCB- und CCX-Modell sind für viele in der HCL-Community seit letztem Jahr ein heißes Thema. Als Notes- oder Domino-Kunde haben Sie vielleicht mit unerwartet hohen Benutzerzahlen und Lizenzgebühren zu kämpfen. Sie fragen sich vielleicht, wie diese neue Art der Lizenzierung funktioniert und welchen Nutzen sie Ihnen bringt. Vor allem wollen Sie sicherlich Ihr Budget einhalten und Kosten sparen, wo immer möglich. Das verstehen wir und wir möchten Ihnen dabei helfen!
Wir erklären Ihnen, wie Sie häufige Konfigurationsprobleme lösen können, die dazu führen können, dass mehr Benutzer gezählt werden als nötig, und wie Sie überflüssige oder ungenutzte Konten identifizieren und entfernen können, um Geld zu sparen. Es gibt auch einige Ansätze, die zu unnötigen Ausgaben führen können, z. B. wenn ein Personendokument anstelle eines Mail-Ins für geteilte Mailboxen verwendet wird. Wir zeigen Ihnen solche Fälle und deren Lösungen. Und natürlich erklären wir Ihnen das neue Lizenzmodell.
Nehmen Sie an diesem Webinar teil, bei dem HCL-Ambassador Marc Thomas und Gastredner Franz Walder Ihnen diese neue Welt näherbringen. Es vermittelt Ihnen die Tools und das Know-how, um den Überblick zu bewahren. Sie werden in der Lage sein, Ihre Kosten durch eine optimierte Domino-Konfiguration zu reduzieren und auch in Zukunft gering zu halten.
Diese Themen werden behandelt
- Reduzierung der Lizenzkosten durch Auffinden und Beheben von Fehlkonfigurationen und überflüssigen Konten
- Wie funktionieren CCB- und CCX-Lizenzen wirklich?
- Verstehen des DLAU-Tools und wie man es am besten nutzt
- Tipps für häufige Problembereiche, wie z. B. Team-Postfächer, Funktions-/Testbenutzer usw.
- Praxisbeispiele und Best Practices zum sofortigen Umsetzen
Cosa hanno in comune un mattoncino Lego e la backdoor XZ?
ABSTRACT: A prima vista, un mattoncino Lego e la backdoor XZ potrebbero avere in comune il fatto di essere entrambi blocchi di costruzione, o dipendenze di progetti creativi e software. La realtà è che un mattoncino Lego e il caso della backdoor XZ hanno molto di più di tutto ciò in comune.
Partecipate alla presentazione per immergervi in una storia di interoperabilità, standard e formati aperti, per poi discutere del ruolo importante che i contributori hanno in una comunità open source sostenibile.
BIO: Sostenitrice del software libero e dei formati standard e aperti. È stata un membro attivo dei progetti Fedora e openSUSE e ha co-fondato l'Associazione LibreItalia dove è stata coinvolta in diversi eventi, migrazioni e formazione relativi a LibreOffice. In precedenza ha lavorato a migrazioni e corsi di formazione su LibreOffice per diverse amministrazioni pubbliche e privati. Da gennaio 2020 lavora in SUSE come Software Release Engineer per Uyuni e SUSE Manager e quando non segue la sua passione per i computer e per Geeko coltiva la sua curiosità per l'astronomia (da cui deriva il suo nickname deneb_alpha).
Mind map of terminologies used in context of Generative AI
Mind map of common terms used in context of Generative AI.
Essentials of Automations: The Art of Triggers and Actions in FME
In this second installment of our Essentials of Automations webinar series, we’ll explore the landscape of triggers and actions, guiding you through the nuances of authoring and adapting workspaces for seamless automations. Gain an understanding of the full spectrum of triggers and actions available in FME, empowering you to enhance your workspaces for efficient automation.
We’ll kick things off by showcasing the most commonly used event-based triggers, introducing you to various automation workflows like manual triggers, schedules, directory watchers, and more. Plus, see how these elements play out in real scenarios.
Whether you’re tweaking your current setup or building from the ground up, this session will arm you with the tools and insights needed to transform your FME usage into a powerhouse of productivity. Join us to discover effective strategies that simplify complex processes, enhancing your productivity and transforming your data management practices with FME. Let’s turn complexity into clarity and make your workspaces work wonders!
Uni Systems Copilot event_05062024_C.Vlachos.pdf
Unlocking Productivity: Leveraging the Potential of Copilot in Microsoft 365, a presentation by Christoforos Vlachos, Senior Solutions Manager – Modern Workplace, Uni Systems
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HCL Notes und Domino Lizenzkostenreduzierung in der Welt von DLAU
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Cosa hanno in comune un mattoncino Lego e la backdoor XZ?
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Mind map of terminologies used in context of Generative AI
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Yandex.Trafik "Real-time traffic information for avoiding traffic jam"
- 2. Erhan Erdogan Traffic manager Real-time traffic information for avoiding traffic jam
- 4. 4 How does it work? 50.446076 30.552857
- 5. 5 How does it work? 50.446076 30.552857
- 6. 6 100 000 signals processed
- 8. Automatic signals analysis • Where is the car? • Is it a car? • Other cars • Real situation
- 10. Algorithm: 5+ years of experience
- 12. Delivery of traffic information to drivers Suggesting the best way Traffic information changes decisions Avoiding jams
- 13. 13 Desktop
- 14. 14 Mobile
- 15. 15 Radio • Radio
- 16. 16 TV
- 18. 19 On your website
- 19. 20 On navigation devices
- 20. Delivery of traffic information to drivers Suggesting the best way Traffic information changes decisions Avoiding jams
- 21. 23 Routing avoiding traffic
- 22. Delivery of traffic information to drivers Suggesting the best way Traffic information changes decisions Avoiding jams
- 26. Analysis
- 27. 30 Congestion during the day Winter 2012/2013
- 29. 32 Usual traffic picture
- 30. Feel free to ask for any kind of data analysis for press and urban purposes
- 31. 34 • GPS is the most efficient way to collect traffic data • Information about traffic affects drivers’ behavior • Spreading the information about traffic minimizes traffic jams Conclusion
- 32. Erhan Erdogan Traffic Manager +90 (530) 498-91-55 erhan@yandex-team.com @erhanerdogan
Editor's Notes
- Introduction of myselfIntroduction of Yandex
- Introduction of Yandex.Traffic and the presentation*****
- (collecting part starting) We are collecting the data as anonymous from our mobile maps application users on the road. We always underline that we don’t know the user and user phone. We only know that something is moving as anonymous.
- We are showing users a detailed city map with traffic information. Not only for main roads, but also for smaller roads. As you see that in colorful Istanbul map, there are nearly 100k signals in that colorful Istanbul map.
- We are trying to be as accurate as possible at real time. Also, we are trying to answer another big question. What will be the traffic information in an hour later? We also have a traffic prediction algorithm for short time period. People also can gain from this information in their daily routines. ******
- (avoding jams part is starting) With the help of our platform, people can avoid traffic jams. Traffic data that we provided can be at every moment of people’s daily life.
- We are delivering information to drivers. They can reach our traffic information from Yandex website and mobile interfaceswhile listening a popular radio show while watching news on TVAt the billboards outdoorOr at the popular websites that they are using everyday.
- We have a long period prediction feature. People can look at the next week days and can change their decisions for their future plans.
- Please feel free to ask for any kind of data analysis for press and urban purposes. We are ready to help you.