Méthodologie du Projet de cartographie du Transport Public Bamako ( SOTRAMA), un projet financé par la Banque Mondiale et piloté par Billet Express Mali.
Adaptive Traffic Sampling and Management PlatformAmir Krifa
The document describes an adaptive traffic sampling and management platform that aims to:
1) Provide an emulation platform for network-wide traffic sampling and monitoring that allows users to control experiments by tuning parameters like traffic sources, network topology, and sampling rates.
2) Enable experiments to be easily reproduced.
3) Allow developed solutions to be tested in real environments.
4) Be extensible and scale to large scenarios by changing sampling algorithms or adding advanced monitoring methods.
Using sensors in OEM-cars for detecting and updating infrastructure and geographical information for speed maps, sustainability and self-driving cars (HD Maps).
Integrated Transport Mgmt. _ Route Planning PlatformPrashant Khopkar
This document describes an integrated transport management and route planning platform called TRAFFLINE. The platform uses an optimization-based transit routing engine (OTP) and APIs to help travelers plan multi-modal trips across Mumbai. It allows agencies to manage transit data, supports mobile apps for end users, and has capabilities like quickest routing, minimum transfers, and real-time traffic integration. Future enhancements may include previous/next trip information, location search, and real-time vehicle tracking.
The document summarizes the results of a traffic survey conducted by a student group. It includes:
1) The objectives of studying vehicle composition, traffic stream properties, and directional distribution.
2) Findings from the survey such as the predominant vehicle type being personal vehicles and the directional distribution showing more traffic from Panthapath to Russell Square.
3) Limitations of the study related to resources and time constraints.
Adaptive Traffic Sampling and Management PlatformAmir Krifa
The document describes an adaptive traffic sampling and management platform that aims to:
1) Provide an emulation platform for network-wide traffic sampling and monitoring that allows users to control experiments by tuning parameters like traffic sources, network topology, and sampling rates.
2) Enable experiments to be easily reproduced.
3) Allow developed solutions to be tested in real environments.
4) Be extensible and scale to large scenarios by changing sampling algorithms or adding advanced monitoring methods.
Using sensors in OEM-cars for detecting and updating infrastructure and geographical information for speed maps, sustainability and self-driving cars (HD Maps).
Integrated Transport Mgmt. _ Route Planning PlatformPrashant Khopkar
This document describes an integrated transport management and route planning platform called TRAFFLINE. The platform uses an optimization-based transit routing engine (OTP) and APIs to help travelers plan multi-modal trips across Mumbai. It allows agencies to manage transit data, supports mobile apps for end users, and has capabilities like quickest routing, minimum transfers, and real-time traffic integration. Future enhancements may include previous/next trip information, location search, and real-time vehicle tracking.
The document summarizes the results of a traffic survey conducted by a student group. It includes:
1) The objectives of studying vehicle composition, traffic stream properties, and directional distribution.
2) Findings from the survey such as the predominant vehicle type being personal vehicles and the directional distribution showing more traffic from Panthapath to Russell Square.
3) Limitations of the study related to resources and time constraints.
Transport-as-a-Service (TaaS) - How we build next generation plug-and-play IT...Christoffer Vig
The digitalization of everyday life, where the average bus passenger would rather ignore the surroundings and stare blankly into his phone for snapchat updates, creates great opportunities for digitalization of public transport, as well as some challenges. Ruter, Norway’s largest public transport authority, is putting significant effort into improving digital services for customers. However, the current technology stack behind Ruter's operations, is not able to provide the necessary real-time information.
In this talk I will explain how Ruter is participating in the development of new European standards for information technology for public transport (ITxPT), and how Apache Kafka and Kafka streams serve as the core components in building "Transport-as-a-Service".
Presented at Berlin Buzzwords 2018 https://berlinbuzzwords.de/18/session/transport-service-taas-how-we-build-next-generation-plug-and-play-it-systems-public
The document describes the Traffic Shaper project, which aims to develop a mobile application to optimize traffic routing in real-time. Funded by the EU, it collects data from various sources to suggest alternative routes to users based on traffic conditions. The application and back-end system architecture are presented, including data collection, route calculation algorithms, APIs, and interfaces for users and administrators. Current work involves finalizing the routing methodology, integrating pollution data, and completing the mobile app.
T drive enhancing driving directions with taxi drivers’ intelligenceJPINFOTECH JAYAPRAKASH
This paper presents a smart driving direction system that leverages taxi driver intelligence. It models traffic patterns and driver routes using a time-dependent landmark graph constructed from taxi trajectory data. It then designs a two-stage routing algorithm to provide users with the fastest route based on departure time, starting point, and destination. Evaluation shows the system's routes are 60-70% faster than competitors and 50% are at least 20% faster on average.
This document provides an update on open data initiatives in Greater Manchester. It discusses plans to release Metrolink fare data, road traffic accident data, bus route mapping data, and real-time data feeds for car parks, Metroshuttle buses, and Metrolink trams. Challenges and timelines are outlined for making various transit and traffic datasets openly available in open data formats. Approval is still needed for some datasets, and development is ongoing to establish an architecture using Microsoft's Windows Azure cloud platform to host real-time transportation data.
Bransys is a Macedonian company that designs, develops, and sells computer software and services. They aim to understand their clients' needs and offer complete solutions. Their GPS tracking software allows users to track vehicle locations in real-time, view historical data, monitor speed and idling, and generate various reports on mileage, fuel usage, and maintenance. The software can also integrate with other systems like scales, temperature sensors, and RFID card readers for applications like coal transport monitoring.
This document proposes a technique to estimate the least congested route from a source to destination in an urban road network using GPS-equipped vehicles. The concept involves base stations that receive location coordinates from vehicles' GPS systems and update them in a database. This information can then be used to estimate traffic speeds on roads and assign status codes to vehicles in the database. When a driver enters a source and destination, servers attached to relevant base stations communicate to estimate the traffic conditions on possible routes and identify the least congested route, which is then displayed to the driver. The proposed algorithm and system architecture are described, and initial results from testing with sample map and vehicle data are presented.
An information system for tum tums presentation-2Aditya Gupta
This document presents an initial design proposal for a real-time tum-tum tracking system. It outlines problems with the current lack of tum-tum schedule and location information. The proposed system would use GPS or RFID to track tum-tums in real-time, storing data on a central server. Users could then access estimated tum-tum arrival times and locations through SMS, a web interface, or mobile app. The document compares GPS and RFID tracking methods and concludes with an overview of the system design.
MOBIWORK is a hardware and software platform that offers integrated solutions for transport planning and vehicle monitoring. It allows companies to strategically plan trips and routes in advance, monitor vehicle locations and sensor data in real-time, and analyze downloaded data to produce reports and optimize operations. The system installs monitoring devices on vehicles that track location and sensor information, and a web application allows users to view vehicle positions and statuses. It also includes a planning system that optimizes delivery routes and schedules based on orders, costs, and other factors.
'Geo-spatial analysis' covers a wide range of analytical techniques which are used in identifying the patterns in Spatial data. Spatial data provides the better understanding of the problem and also in decision making. In order to explore a Geo spatial phenomena we have to categorize the problem and it is done by the better understanding how the data can be expressed for a feature. High population growth rates have posed new traffic management challenges in the urban areas. We are evaluating how Geo-spatial techniques are utilized in Road traffic analysis by visualizing the traffic congestion areas.
The document discusses a low-cost Bluetooth monitoring system for analyzing traffic flows. Bluetooth signals from vehicles are captured by roadside sensors to identify traffic patterns. Data on vehicle IDs, timestamps and locations are stored and used to derive information like travel times, speeds and origin-destination matrices. The system provides traffic data for management and planning while protecting privacy. Fixed sensors deployed in various cities collect long-term data, while mobile sensors allow short-term intensive monitoring.
i-TINS is an integrated travel information and navigation system that provides real-time multi-modal transportation data to residents and visitors of Abu Dhabi through a mobile app, website, and vehicle navigation systems. It collects data from various sources and provides traffic conditions, public transit arrival times, parking availability and other information to help travelers plan and monitor their journeys. The Darb mobile app was developed to deliver this live transportation data and additional trip planning services to users.
APAS is a software service that generates predicted arrival times for package deliveries based on telemetry data from carriers and other resources. It uses GPS data, delivery activities, distances, and predictive heuristics to calculate arrival times with different confidence levels. The service has an architecture that includes collecting and processing telemetry data via data flows, managing carrier routes and stops, and providing predictions to end users through an analysis filter service.
SC4 Workshop 2: Josep Maria Salanova - Pilot in ThessalonikiBigData_Europe
The document describes a big data transport pilot project in Thessaloniki, Greece. The project utilizes several sources of probe data including static Bluetooth sensors, a fleet of over 1,200 taxis and buses that provide real-time location data, and social media check-ins. This data is used to estimate traffic conditions, travel times, mobility patterns and more. The pilot aims to test processing techniques like travel time estimation, traffic prediction, and data expansion. Lessons learned from the first phase will be applied to improve the algorithms and integrate additional data sources in future pilots.
Solution to the Traffic Problem
Pune Traffic Police department requires a modern framework to manage the growing traffic and the growing boundaries of the city. They also have a requirement to digitize records and administration of fines in order to prevent corruption. They are keen to involve citizens to backfill the shortage of police staff. The project calls for a total redesign of their technology and tools from scratch.
The proposed technology should enable development of light-weight applications like the following. You are welcome to imagine additional use cases and propose solutions.
1. Online Traffic Signal Management
a. Enable Police Control Room to monitor traffic patterns and control traffic signals in real time
b. Enable emergency vehicles to override signals for rapid passage
2. Curb Corruption
a. Develop an audio-visual tool to capture officer’s interactions with offenders
3. Instafine
a. Police can take pictures of traffic violations
b. They can select the category and severity of violation, and submit immediately
c. Information about fines can be dispatched by post, email, Whatsapp, SMS, etc.
4. Citizen Police
a. Citizens can take pictures of traffic violations and submit to the Control Room
b. Control Room processes the complaints and sends fines to offenders
Speed and Position Control of Train Sytem Using GPSIOSR Journals
This document summarizes a system for controlling the speed and position of a train using GPS. The system includes modules on the train and at a railway control board (RBC) section. On the train, GPS is used to determine the current position and speed, which is sent to the RBC via Zigbee wireless transmission. At the RBC, the train's position and speed are displayed. The system can also automatically control the speed of the train and activate level crossing gates based on the train's position. The goal is to help avoid accidents by monitoring the train's location and speed in real-time.
Speed and Position Control of Train Sytem Using GPS IOSR Journals
The passengers face some problems regarding the arrival time of the train and they go on asking the
ticket checkers about the arrival. This creates trouble to the ticket checker to keep answering thousands of
passengers who are boarding the train. The GPS (Global Positioning System) gives the position of any object on
which it as placed with respect to the latitude and longitude of the earth. This technique would be helpful in tracking
the exact location of the train and as well the speed of the moving object. Some of the human activities causing
accidents include railway level crossing during the approach of train, misplaced fish plates and high speed at places
where speed should actually be less. So the system designed here which is called as ATCS (Advanced train control system) helps in reducing the accidents to an extent.
A survey on real time bus monitoring systemIRJET Journal
This document summarizes several techniques for real-time bus monitoring systems:
1) WiLocator uses surrounding WiFi access points to track and predict bus arrival times but relies on unstable WiFi signals.
2) EasyTracker requires transit agencies to install apps on smartphones in each bus but produces accurate route maps and schedules.
3) A GPS-GSM system tracks bus locations on Google Maps via a web application but requires users to open two apps.
4) An adaptive vehicle tracking methodology processes user requests for bus locations via SMS and collects bus information using mobile phones installed on each bus.
This document proposes an automated toll gate system that uses RFID tags and readers to track vehicles and automatically manage toll payments. The system would identify approaching vehicles, record their details from the RFID tag like owner name and vehicle information, and open the toll gate if the vehicle is authorized, deducting the toll from the associated account. This system aims to improve traffic management and monitoring of vehicles on roads by automating the toll process and recording travel details.
Neural Network Based Parking via Google Map GuidanceIJERA Editor
This document describes an intelligent parking guidance system that uses neural networks and algorithms to predict travel times between locations and allocate parking spaces. It consists of an Intelligent Trip Modeling System (ITMS) that uses a Speed Prediction Neural Network System (SPNNS) and Dynamic Traversing Speed Profile (DTSP) algorithm to accurately predict traffic speed and travel times. The system also includes an intelligent parking guidance component that provides information on nearby parking availability and allows users to reserve spaces based on their predicted time of arrival. The overall goal is to help drivers efficiently find parking by predicting travel times and allocating spaces in advance.
Yemen is experiencing rapid urbanization and population growth, increasing transportation demands. The traditional traffic system relies on traffic police and paper maps, causing terrible congestion problems. To address this, intelligent transportation systems (ITS) are needed to reduce traffic jams, detect accidents, and guide travelers using sensors on roads and vehicles. ITS involves monitoring real-time traffic conditions through collected data, which is sent to traffic management centers (TMC) that store data and control infrastructure like traffic lights to manage traffic flow.
Data Transport, is a non-profit organization that works to improve African
mobility through transit Data.
#TransitMapping #DataPortal #Standardization GTFS+ #DataViz #API
We have started in 2017
Transport-as-a-Service (TaaS) - How we build next generation plug-and-play IT...Christoffer Vig
The digitalization of everyday life, where the average bus passenger would rather ignore the surroundings and stare blankly into his phone for snapchat updates, creates great opportunities for digitalization of public transport, as well as some challenges. Ruter, Norway’s largest public transport authority, is putting significant effort into improving digital services for customers. However, the current technology stack behind Ruter's operations, is not able to provide the necessary real-time information.
In this talk I will explain how Ruter is participating in the development of new European standards for information technology for public transport (ITxPT), and how Apache Kafka and Kafka streams serve as the core components in building "Transport-as-a-Service".
Presented at Berlin Buzzwords 2018 https://berlinbuzzwords.de/18/session/transport-service-taas-how-we-build-next-generation-plug-and-play-it-systems-public
The document describes the Traffic Shaper project, which aims to develop a mobile application to optimize traffic routing in real-time. Funded by the EU, it collects data from various sources to suggest alternative routes to users based on traffic conditions. The application and back-end system architecture are presented, including data collection, route calculation algorithms, APIs, and interfaces for users and administrators. Current work involves finalizing the routing methodology, integrating pollution data, and completing the mobile app.
T drive enhancing driving directions with taxi drivers’ intelligenceJPINFOTECH JAYAPRAKASH
This paper presents a smart driving direction system that leverages taxi driver intelligence. It models traffic patterns and driver routes using a time-dependent landmark graph constructed from taxi trajectory data. It then designs a two-stage routing algorithm to provide users with the fastest route based on departure time, starting point, and destination. Evaluation shows the system's routes are 60-70% faster than competitors and 50% are at least 20% faster on average.
This document provides an update on open data initiatives in Greater Manchester. It discusses plans to release Metrolink fare data, road traffic accident data, bus route mapping data, and real-time data feeds for car parks, Metroshuttle buses, and Metrolink trams. Challenges and timelines are outlined for making various transit and traffic datasets openly available in open data formats. Approval is still needed for some datasets, and development is ongoing to establish an architecture using Microsoft's Windows Azure cloud platform to host real-time transportation data.
Bransys is a Macedonian company that designs, develops, and sells computer software and services. They aim to understand their clients' needs and offer complete solutions. Their GPS tracking software allows users to track vehicle locations in real-time, view historical data, monitor speed and idling, and generate various reports on mileage, fuel usage, and maintenance. The software can also integrate with other systems like scales, temperature sensors, and RFID card readers for applications like coal transport monitoring.
This document proposes a technique to estimate the least congested route from a source to destination in an urban road network using GPS-equipped vehicles. The concept involves base stations that receive location coordinates from vehicles' GPS systems and update them in a database. This information can then be used to estimate traffic speeds on roads and assign status codes to vehicles in the database. When a driver enters a source and destination, servers attached to relevant base stations communicate to estimate the traffic conditions on possible routes and identify the least congested route, which is then displayed to the driver. The proposed algorithm and system architecture are described, and initial results from testing with sample map and vehicle data are presented.
An information system for tum tums presentation-2Aditya Gupta
This document presents an initial design proposal for a real-time tum-tum tracking system. It outlines problems with the current lack of tum-tum schedule and location information. The proposed system would use GPS or RFID to track tum-tums in real-time, storing data on a central server. Users could then access estimated tum-tum arrival times and locations through SMS, a web interface, or mobile app. The document compares GPS and RFID tracking methods and concludes with an overview of the system design.
MOBIWORK is a hardware and software platform that offers integrated solutions for transport planning and vehicle monitoring. It allows companies to strategically plan trips and routes in advance, monitor vehicle locations and sensor data in real-time, and analyze downloaded data to produce reports and optimize operations. The system installs monitoring devices on vehicles that track location and sensor information, and a web application allows users to view vehicle positions and statuses. It also includes a planning system that optimizes delivery routes and schedules based on orders, costs, and other factors.
'Geo-spatial analysis' covers a wide range of analytical techniques which are used in identifying the patterns in Spatial data. Spatial data provides the better understanding of the problem and also in decision making. In order to explore a Geo spatial phenomena we have to categorize the problem and it is done by the better understanding how the data can be expressed for a feature. High population growth rates have posed new traffic management challenges in the urban areas. We are evaluating how Geo-spatial techniques are utilized in Road traffic analysis by visualizing the traffic congestion areas.
The document discusses a low-cost Bluetooth monitoring system for analyzing traffic flows. Bluetooth signals from vehicles are captured by roadside sensors to identify traffic patterns. Data on vehicle IDs, timestamps and locations are stored and used to derive information like travel times, speeds and origin-destination matrices. The system provides traffic data for management and planning while protecting privacy. Fixed sensors deployed in various cities collect long-term data, while mobile sensors allow short-term intensive monitoring.
i-TINS is an integrated travel information and navigation system that provides real-time multi-modal transportation data to residents and visitors of Abu Dhabi through a mobile app, website, and vehicle navigation systems. It collects data from various sources and provides traffic conditions, public transit arrival times, parking availability and other information to help travelers plan and monitor their journeys. The Darb mobile app was developed to deliver this live transportation data and additional trip planning services to users.
APAS is a software service that generates predicted arrival times for package deliveries based on telemetry data from carriers and other resources. It uses GPS data, delivery activities, distances, and predictive heuristics to calculate arrival times with different confidence levels. The service has an architecture that includes collecting and processing telemetry data via data flows, managing carrier routes and stops, and providing predictions to end users through an analysis filter service.
SC4 Workshop 2: Josep Maria Salanova - Pilot in ThessalonikiBigData_Europe
The document describes a big data transport pilot project in Thessaloniki, Greece. The project utilizes several sources of probe data including static Bluetooth sensors, a fleet of over 1,200 taxis and buses that provide real-time location data, and social media check-ins. This data is used to estimate traffic conditions, travel times, mobility patterns and more. The pilot aims to test processing techniques like travel time estimation, traffic prediction, and data expansion. Lessons learned from the first phase will be applied to improve the algorithms and integrate additional data sources in future pilots.
Solution to the Traffic Problem
Pune Traffic Police department requires a modern framework to manage the growing traffic and the growing boundaries of the city. They also have a requirement to digitize records and administration of fines in order to prevent corruption. They are keen to involve citizens to backfill the shortage of police staff. The project calls for a total redesign of their technology and tools from scratch.
The proposed technology should enable development of light-weight applications like the following. You are welcome to imagine additional use cases and propose solutions.
1. Online Traffic Signal Management
a. Enable Police Control Room to monitor traffic patterns and control traffic signals in real time
b. Enable emergency vehicles to override signals for rapid passage
2. Curb Corruption
a. Develop an audio-visual tool to capture officer’s interactions with offenders
3. Instafine
a. Police can take pictures of traffic violations
b. They can select the category and severity of violation, and submit immediately
c. Information about fines can be dispatched by post, email, Whatsapp, SMS, etc.
4. Citizen Police
a. Citizens can take pictures of traffic violations and submit to the Control Room
b. Control Room processes the complaints and sends fines to offenders
Speed and Position Control of Train Sytem Using GPSIOSR Journals
This document summarizes a system for controlling the speed and position of a train using GPS. The system includes modules on the train and at a railway control board (RBC) section. On the train, GPS is used to determine the current position and speed, which is sent to the RBC via Zigbee wireless transmission. At the RBC, the train's position and speed are displayed. The system can also automatically control the speed of the train and activate level crossing gates based on the train's position. The goal is to help avoid accidents by monitoring the train's location and speed in real-time.
Speed and Position Control of Train Sytem Using GPS IOSR Journals
The passengers face some problems regarding the arrival time of the train and they go on asking the
ticket checkers about the arrival. This creates trouble to the ticket checker to keep answering thousands of
passengers who are boarding the train. The GPS (Global Positioning System) gives the position of any object on
which it as placed with respect to the latitude and longitude of the earth. This technique would be helpful in tracking
the exact location of the train and as well the speed of the moving object. Some of the human activities causing
accidents include railway level crossing during the approach of train, misplaced fish plates and high speed at places
where speed should actually be less. So the system designed here which is called as ATCS (Advanced train control system) helps in reducing the accidents to an extent.
A survey on real time bus monitoring systemIRJET Journal
This document summarizes several techniques for real-time bus monitoring systems:
1) WiLocator uses surrounding WiFi access points to track and predict bus arrival times but relies on unstable WiFi signals.
2) EasyTracker requires transit agencies to install apps on smartphones in each bus but produces accurate route maps and schedules.
3) A GPS-GSM system tracks bus locations on Google Maps via a web application but requires users to open two apps.
4) An adaptive vehicle tracking methodology processes user requests for bus locations via SMS and collects bus information using mobile phones installed on each bus.
This document proposes an automated toll gate system that uses RFID tags and readers to track vehicles and automatically manage toll payments. The system would identify approaching vehicles, record their details from the RFID tag like owner name and vehicle information, and open the toll gate if the vehicle is authorized, deducting the toll from the associated account. This system aims to improve traffic management and monitoring of vehicles on roads by automating the toll process and recording travel details.
Neural Network Based Parking via Google Map GuidanceIJERA Editor
This document describes an intelligent parking guidance system that uses neural networks and algorithms to predict travel times between locations and allocate parking spaces. It consists of an Intelligent Trip Modeling System (ITMS) that uses a Speed Prediction Neural Network System (SPNNS) and Dynamic Traversing Speed Profile (DTSP) algorithm to accurately predict traffic speed and travel times. The system also includes an intelligent parking guidance component that provides information on nearby parking availability and allows users to reserve spaces based on their predicted time of arrival. The overall goal is to help drivers efficiently find parking by predicting travel times and allocating spaces in advance.
Yemen is experiencing rapid urbanization and population growth, increasing transportation demands. The traditional traffic system relies on traffic police and paper maps, causing terrible congestion problems. To address this, intelligent transportation systems (ITS) are needed to reduce traffic jams, detect accidents, and guide travelers using sensors on roads and vehicles. ITS involves monitoring real-time traffic conditions through collected data, which is sent to traffic management centers (TMC) that store data and control infrastructure like traffic lights to manage traffic flow.
Similar a Methodology Projet de cartographie du Transport Public Bamako ( SOTRAMA) (20)
Data Transport, is a non-profit organization that works to improve African
mobility through transit Data.
#TransitMapping #DataPortal #Standardization GTFS+ #DataViz #API
We have started in 2017
Data transport : We Improve African Mobility Through Databamaemmanuel
Data Transport, is a non-profit organization that working to improve African mobility through transport Data. #DataCollect #Mapping #GTFS #DataViz #DataApps
Déploiement de la solution Libre de cloud computing : Nextcloudbamaemmanuel
Nextcloud vous donne un contrôle fin sur l'accès aux données, facilite la synchronisation de fichiers et permet de partager entre les appareils. Il est une excellente solution pour les utilisateurs
non seulement privés mais aussi pou les organisations.
Il prend en charge plusieurs bases de données, comme Oracle, SQLite, PosgreSQL et MySQL.
This document lists the names, countries, and industries of 2019 Tony Elumelu Entrepreneurs from several African countries, including: Algeria, Angola, Benin, Botswana, Burundi, Cameroon, Cape Verde, Central African Republic, Chad, Comoros, Congo, Cote d'Ivoire, Djibouti, Egypt, Equatorial Guinea, Eritrea, Ethiopia, Gabon, Gambia, Ghana, Guinea, Guinea-Bissau, Kenya, Lesotho, Liberia, Libya, Madagascar, Malawi, Mali, and more. The entrepreneurs work in a variety of industries such as agriculture, ICT, manufacturing, healthcare,
This document provides an overview of open data in Africa based on several studies and analyses. It finds that while open data initiatives exist across many African countries, there is still progress to be made in completeness, timeliness, and consistency of open data publication. Country case studies on Kenya, South Africa, Ghana, Rwanda, Burkina Faso, and Morocco find some impact from open data including in sectors like agriculture, transportation, and health. However, challenges remain around legal frameworks, engagement between stakeholders, and measuring long term impact. Overall, open data in Africa presents opportunities but still requires more support through addressing recommendations around leadership, capacity building, and sustainable ecosystems.
le Guide des 7 Questions Clés Qu'un Entrepreneur Social Doit Se Poserbamaemmanuel
Vous avez décidé de vous engager en mettant votre talent et votre énergie dans un projet d’entrepreneuriat social, votre activité fonctionne mais vous vous demandez :
-Comment vous développer sans perdre de vue votre mission sociale ?
Comment apporter une réponse proportionnelle à l’enjeu de société ?
Comment mesurer et démultiplier votre impact social ?
Comment engager d’autres secteurs de la société pour accélérer votre développement ?
Prendre du temps maintenant pour en économiser plus tard...
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.
Best 20 SEO Techniques To Improve Website Visibility In SERPPixlogix Infotech
Boost your website's visibility with proven SEO techniques! Our latest blog dives into essential strategies to enhance your online presence, increase traffic, and rank higher on search engines. From keyword optimization to quality content creation, learn how to make your site stand out in the crowded digital landscape. Discover actionable tips and expert insights to elevate your SEO game.
Monitoring and Managing Anomaly Detection on OpenShift.pdfTosin Akinosho
Monitoring and Managing Anomaly Detection on OpenShift
Overview
Dive into the world of anomaly detection on edge devices with our comprehensive hands-on tutorial. This SlideShare presentation will guide you through the entire process, from data collection and model training to edge deployment and real-time monitoring. Perfect for those looking to implement robust anomaly detection systems on resource-constrained IoT/edge devices.
Key Topics Covered
1. Introduction to Anomaly Detection
- Understand the fundamentals of anomaly detection and its importance in identifying unusual behavior or failures in systems.
2. Understanding Edge (IoT)
- Learn about edge computing and IoT, and how they enable real-time data processing and decision-making at the source.
3. What is ArgoCD?
- Discover ArgoCD, a declarative, GitOps continuous delivery tool for Kubernetes, and its role in deploying applications on edge devices.
4. Deployment Using ArgoCD for Edge Devices
- Step-by-step guide on deploying anomaly detection models on edge devices using ArgoCD.
5. Introduction to Apache Kafka and S3
- Explore Apache Kafka for real-time data streaming and Amazon S3 for scalable storage solutions.
6. Viewing Kafka Messages in the Data Lake
- Learn how to view and analyze Kafka messages stored in a data lake for better insights.
7. What is Prometheus?
- Get to know Prometheus, an open-source monitoring and alerting toolkit, and its application in monitoring edge devices.
8. Monitoring Application Metrics with Prometheus
- Detailed instructions on setting up Prometheus to monitor the performance and health of your anomaly detection system.
9. What is Camel K?
- Introduction to Camel K, a lightweight integration framework built on Apache Camel, designed for Kubernetes.
10. Configuring Camel K Integrations for Data Pipelines
- Learn how to configure Camel K for seamless data pipeline integrations in your anomaly detection workflow.
11. What is a Jupyter Notebook?
- Overview of Jupyter Notebooks, an open-source web application for creating and sharing documents with live code, equations, visualizations, and narrative text.
12. Jupyter Notebooks with Code Examples
- Hands-on examples and code snippets in Jupyter Notebooks to help you implement and test anomaly detection models.
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.
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
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.
Ocean lotus Threat actors project by John Sitima 2024 (1).pptxSitimaJohn
Ocean Lotus cyber threat actors represent a sophisticated, persistent, and politically motivated group that poses a significant risk to organizations and individuals in the Southeast Asian region. Their continuous evolution and adaptability underscore the need for robust cybersecurity measures and international cooperation to identify and mitigate the threats posed by such advanced persistent threat groups.
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.
HCL Notes und Domino Lizenzkostenreduzierung in der Welt von DLAUpanagenda
Webinar Recording: https://www.panagenda.com/webinars/hcl-notes-und-domino-lizenzkostenreduzierung-in-der-welt-von-dlau/
DLAU und die Lizenzen nach dem CCB- und CCX-Modell sind für viele in der HCL-Community seit letztem Jahr ein heißes Thema. Als Notes- oder Domino-Kunde haben Sie vielleicht mit unerwartet hohen Benutzerzahlen und Lizenzgebühren zu kämpfen. Sie fragen sich vielleicht, wie diese neue Art der Lizenzierung funktioniert und welchen Nutzen sie Ihnen bringt. Vor allem wollen Sie sicherlich Ihr Budget einhalten und Kosten sparen, wo immer möglich. Das verstehen wir und wir möchten Ihnen dabei helfen!
Wir erklären Ihnen, wie Sie häufige Konfigurationsprobleme lösen können, die dazu führen können, dass mehr Benutzer gezählt werden als nötig, und wie Sie überflüssige oder ungenutzte Konten identifizieren und entfernen können, um Geld zu sparen. Es gibt auch einige Ansätze, die zu unnötigen Ausgaben führen können, z. B. wenn ein Personendokument anstelle eines Mail-Ins für geteilte Mailboxen verwendet wird. Wir zeigen Ihnen solche Fälle und deren Lösungen. Und natürlich erklären wir Ihnen das neue Lizenzmodell.
Nehmen Sie an diesem Webinar teil, bei dem HCL-Ambassador Marc Thomas und Gastredner Franz Walder Ihnen diese neue Welt näherbringen. Es vermittelt Ihnen die Tools und das Know-how, um den Überblick zu bewahren. Sie werden in der Lage sein, Ihre Kosten durch eine optimierte Domino-Konfiguration zu reduzieren und auch in Zukunft gering zu halten.
Diese Themen werden behandelt
- Reduzierung der Lizenzkosten durch Auffinden und Beheben von Fehlkonfigurationen und überflüssigen Konten
- Wie funktionieren CCB- und CCX-Lizenzen wirklich?
- Verstehen des DLAU-Tools und wie man es am besten nutzt
- Tipps für häufige Problembereiche, wie z. B. Team-Postfächer, Funktions-/Testbenutzer usw.
- Praxisbeispiele und Best Practices zum sofortigen Umsetzen
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
Ivanti’s Patch Tuesday breakdown goes beyond patching your applications and brings you the intelligence and guidance needed to prioritize where to focus your attention first. Catch early analysis on our Ivanti blog, then join industry expert Chris Goettl for the Patch Tuesday Webinar Event. There we’ll do a deep dive into each of the bulletins and give guidance on the risks associated with the newly-identified vulnerabilities.
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!
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.
Threats to mobile devices are more prevalent and increasing in scope and complexity. Users of mobile devices desire to take full advantage of the features
available on those devices, but many of the features provide convenience and capability but sacrifice security. This best practices guide outlines steps the users can take to better protect personal devices and information.
2. Data collection
1. Meeting and exchange with the syndicates of Sotrama
The purpose of this meeting is to inform syndicates and
transport operators about the data collection project and also to
collect information from them such as: the number of lines,
number of sotrama being moved, time and frequency of
movement, operators and the dispatching of sotrama in Bamako
City.
2. Field data collection
This is the step where the collector agents will be deployed in
the city of Bamako based on the sotrama lines for data
collection. 2 interviewers per line, will make 2 trips on the same
line (round trip/peak time and round trip/hour with little traffic)
-First we will identify the lines making up the urban transport
network of Bamako specific to Sotrama.
-Then the assignment of collecting agents on all lines,
this collection will be done from 7am (rush hour) to 12pm (little
traffic).
- The collecting agents will be on board the sotrama serving the
main lines to collect the data, they will exceptionally be
positioned with the driver near the windscreen to allow a good
reception of satellite signals and to ensure a good accuracy of the
collected points.
It should be noted that the collection tool (osmtraker,
kobotoolbox) used works without the Internet.
3. Types of data to be collected
- Departure points sotrama
-Sotrama operator (company name, address)
-Stops of each of the sotrama lines
-Destinations (arrival points)
-On traffic days.
-Time of course between 2 courses of a line. A trip is a distance
between the starting point and the destination, between 2 stops,
one station and the final destination.
Schedules (rush hour and off-peak hour) for running to stop
points
-Transportation line (name of the line)
-GPS traces (geo-referenced polyline)
-The direction of the roads (round trip)
-The cost of transport on all lines and stops
-Collect data: the segments that cannot be used in rain, the time
3. period, the stopping time by sotrama drivers during this period
This collected information will be used to digitalize the sotrama
transport network and to create the GTFS format.
Digitization and consolidation will be performed on a daily basis
by another team located in a connected space.
The collected data will be processed, digitized and sent to the
OpenStreetMap database.
Data Digitalization
The data being digitized in OpenStreetMap:
- Sotrama Departure points
-Sotrama operator
-Sotrama stop
-Transport line
-GPS Tracking
Establishment of
the GTFS Data
A GTFS feed, which contains static transit information, is
composed of a number of text (.txt) files that are contained in a
single ZIP file. Each file describes a particular aspect of transit
information: stops, routes, trips, fares, etc.
For the constitution of this file tools will be necessary please see
the tools table. But the types of data collected are essential in
the GTFS constitution, each of these files will receive specific
data.
- agency.txt will receive information on the transport service
(sotrama operator).
-calendar.txt will receive data on sotrama traffic days.
-routes.txt will receive the data on the direction of the roads (in
the direction) of departure and destination.
-stops.txt will receive the data of geographical type, the starting
and stopping points of sotrama, the destinations.
-trips.txt will provide the link between services (agency), roads
and traffic regimes
-stops_times.txt will receive data on trip schedules at stop
points.
-shapes.txt the data of types of transport line, GPS traces will
allow to build this file.
-frequencies.txt this file will receive the data of type Time of
course between 2 trips of a line.
4. Tools
Process Tools
Kick
description of
the tool
More detail
Platform
/Equipment
Data Collection
-OSM Tracker
-KoboToolBox
GPS Trace
recorder and
data collection
- GPX tracker
- Stops
geographically
registred
- Picture
- Notes…
Survey
-Question
-
Smartphone :
-Android
Data
Digitalization -JOSM
Data editor for
OpenStreetMap
(OSM)
Loading GPX
tracks,
background
imagery and
OSM data
from local
sources as
well as from
online sources
and allows to
edit the OSM
data
Computer :
-Windows
-Linux
-Mac
Data Quality
- OSMOSE
-OSM Inspector
-PT Assistant
- GTFS Validator
-Quality
assurance tools
for detecting
issues and
showing them
on OSM
-Web
debugging tool
-Validation of
Public
Transport
Route
-Quality
assurance for
GTFS data
- Detect
contributor’s
and conflation
issues
- Show those
identified
anomalies on
a map
- Allow to fix
anomalies
- Useful for
integrating
external Data
Base
Computer :
-Web tools
-OSM Plugin
Export data to -Edit, and Computer :