The document discusses the future governance of Caltrain and identifies several issues that need to be addressed. It notes that the region has seen over 1 million new jobs and 700,000 new households added which increases fragmentation in areas like fares, schedules and information. It also questions whether operations should be separated from long-range planning and how to balance urban and suburban needs. The document lists goals for a project related to improving Caltrain service and connectivity to other transit lines, reducing congestion, and supporting economic growth.
The document discusses PlugShare, an app that helps electric vehicle drivers locate charging stations. It provides key features of the PlugShare app including being able to locate over 30,000 charging stations in the US and Canada. The document also lists various services PlugShare offers like white label app development, in-vehicle charging stations, and data licensing. Charts show the growth of electric vehicle chargers in Canada from 2012 to 2015.
This document proposes a crowd-sourced mobile and web application called Transit Tracker to provide real-time public transportation arrival information. It aims to increase ridership by making schedules more accessible and reducing wait times. Users would report bus locations to receive arrival times in return. The system would integrate this crowd-sourced data with static schedule data to provide customizable, accessible arrival predictions on phones and online. It has the potential to improve health, accessibility and reduce traffic by encouraging more public transit use.
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.
Making the Most of Long-Range Models for Automated and Connected Vehicle Planning poster was presented at the 95th Annual Transportation Research Board (TRB) Annual Meeting in January 2016.
Automated/Connected Vehicle technology (AV/CV) is expected to have significant impacts on travel behavior. The
potential transformative nature of these technologies to alter
or influence future travel behavior and demand is quite significant.
This document provides an overview of Azure Maps and its mobility services. Azure Maps is a platform of geospatial APIs powered by integration with mobility and data partners. It offers various APIs for rendering maps, routing, search, spatial operations, traffic data, time zones, geolocation, and mobility services for public transit data. The document discusses getting started with Azure Maps and provides code samples for calling APIs like finding nearby transit stops and routes. It also covers data structures and best practices for using the mobility services, including geocoding addresses and determining the appropriate metro area. Finally, it mentions building accessible applications with Azure Maps.
As part of the April 12, 2017 Show&Tell: Smart Cities/IoT event, we asked 3 people to each give a 5 minute talk on how the featured technology will impact our lives 3-5 years from now. One of them was Nathaniel Horadam, a graduate student at Georgia Tech in the city planning program with a focus on transportation planning and connected autonomous vehicles. Prior to grad school, Nathaniel worked with a management consultant for Accenture helping governments solve problems with technology.
Leveraging Technology to Increase Ridership and The Passenger Experience- Spe...Jeff Lougheed
This document discusses how emerging technologies can benefit fixed route transit systems. It outlines technologies like mobile device applications, GPS, and real-time mapping that can provide riders with self-serve transit information. This includes finding the closest bus stop, trip planning between locations, real-time arrival times, and notifications of delays. These mobile technologies give riders access to real-time transit information anytime, improving the customer experience and satisfaction. The document argues this increased access to real-time information using mobile apps and technologies can help increase ridership on fixed route transit systems.
The document discusses the future governance of Caltrain and identifies several issues that need to be addressed. It notes that the region has seen over 1 million new jobs and 700,000 new households added which increases fragmentation in areas like fares, schedules and information. It also questions whether operations should be separated from long-range planning and how to balance urban and suburban needs. The document lists goals for a project related to improving Caltrain service and connectivity to other transit lines, reducing congestion, and supporting economic growth.
The document discusses PlugShare, an app that helps electric vehicle drivers locate charging stations. It provides key features of the PlugShare app including being able to locate over 30,000 charging stations in the US and Canada. The document also lists various services PlugShare offers like white label app development, in-vehicle charging stations, and data licensing. Charts show the growth of electric vehicle chargers in Canada from 2012 to 2015.
This document proposes a crowd-sourced mobile and web application called Transit Tracker to provide real-time public transportation arrival information. It aims to increase ridership by making schedules more accessible and reducing wait times. Users would report bus locations to receive arrival times in return. The system would integrate this crowd-sourced data with static schedule data to provide customizable, accessible arrival predictions on phones and online. It has the potential to improve health, accessibility and reduce traffic by encouraging more public transit use.
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.
Making the Most of Long-Range Models for Automated and Connected Vehicle Planning poster was presented at the 95th Annual Transportation Research Board (TRB) Annual Meeting in January 2016.
Automated/Connected Vehicle technology (AV/CV) is expected to have significant impacts on travel behavior. The
potential transformative nature of these technologies to alter
or influence future travel behavior and demand is quite significant.
This document provides an overview of Azure Maps and its mobility services. Azure Maps is a platform of geospatial APIs powered by integration with mobility and data partners. It offers various APIs for rendering maps, routing, search, spatial operations, traffic data, time zones, geolocation, and mobility services for public transit data. The document discusses getting started with Azure Maps and provides code samples for calling APIs like finding nearby transit stops and routes. It also covers data structures and best practices for using the mobility services, including geocoding addresses and determining the appropriate metro area. Finally, it mentions building accessible applications with Azure Maps.
As part of the April 12, 2017 Show&Tell: Smart Cities/IoT event, we asked 3 people to each give a 5 minute talk on how the featured technology will impact our lives 3-5 years from now. One of them was Nathaniel Horadam, a graduate student at Georgia Tech in the city planning program with a focus on transportation planning and connected autonomous vehicles. Prior to grad school, Nathaniel worked with a management consultant for Accenture helping governments solve problems with technology.
Leveraging Technology to Increase Ridership and The Passenger Experience- Spe...Jeff Lougheed
This document discusses how emerging technologies can benefit fixed route transit systems. It outlines technologies like mobile device applications, GPS, and real-time mapping that can provide riders with self-serve transit information. This includes finding the closest bus stop, trip planning between locations, real-time arrival times, and notifications of delays. These mobile technologies give riders access to real-time transit information anytime, improving the customer experience and satisfaction. The document argues this increased access to real-time information using mobile apps and technologies can help increase ridership on fixed route transit systems.
Continual analyzes voice and data usage patterns for all subscribers, 24/7, flagging adverse network experiences that affect subscribers and connected vehicles. Using advanced ML it correlates all the important parameters and establishes the impact of these experiences on subscribers.
This document proposes the development of a City Bus application for Android phones to help commuters using B.E.S.T. (Brihanmumbai Electric Supply and Transport) buses in Mumbai. The application would allow users to find the nearest bus stop, view bus routes and schedules, search from source to destination, and estimate bus arrival times to make bus travel more efficient. It aims to automate B.E.S.T. services and provide better public transportation using features integrated with maps, GPS, and a user-friendly interface. The conclusion states this application could enhance services for commuters by planning journeys in advance through easy access from the Google Play store.
Through its various offerings and mobility portfolio, we bring together satellite operator, inflight connectivity company’s providing-Wi-Fi, mobile voice and data, antenna systems, hardware, and software into a single, easy- to-use platform that allows SITAONAIR to deliver the best inflight mobility solution.
Bus Karo: Economic Opportunity through Public Transport ConnectivityWRI India
This document discusses using an accessibility tool to analyze public transportation connectivity and economic opportunity in cities. The tool calculates accessibility values based on travel times from different locations to jobs and other destinations using public transit and road network data. It can measure the current accessibility in a city and compare accessibility under different transportation scenarios. The document provides an example application of the tool to analyze job accessibility from different areas of Bangalore using the existing bus network and a proposed metro route. It discusses limitations of the tool and opportunities for further improvements.
Regional options for caltrain governanceAdina Levin
This document discusses options for regional governance of Caltrain and transit connectivity in the Bay Area. It outlines Caltrain's evolution from standalone commuter rail to a vision of integrated, all-day regional service. A key part of this vision is improving connections to benefit equity. The region now has an opportunity to organize itself to deliver needed capital investments by considering a network manager approach. A network manager could coordinate functions like planning, funding, customer experience, and operations across transit agencies at various levels from light to strong coordination. The document closes by noting upcoming discussions and studies that could impact Caltrain governance and regional rail integration.
The Parking Availability Network is a proposed system that uses sensors embedded in parking spaces and vehicles to track parking availability across a city. Static sensors mark spaces and provide information like occupancy. Mobile sensors in vehicles scan static sensors to tag spaces as occupied or not. This creates a map of parking availability that is integrated with vehicle navigation to help drivers find spaces and reduce congestion. The system also enables dynamic pricing to encourage use of less popular spaces.
3053 its japan_2013_tnbus_apts_english_present_allen_v1.68Hsieh-Chang Chen
The document discusses the development history of the dynamic bus information system in Tainan City, Taiwan. It describes the implementation of the Tainan Bus Automatic Passenger Transport System (APTS), which includes three main components - the Logic Algorithm Center for accuracy, the Algorithm Dispatch Platform for scalability, and the Information Merge & Publish Platform for stability. The system provides real-time bus location and arrival times to passengers through a website and mobile apps, and has increased annual passenger ridership while reducing management costs for bus operators.
This document discusses how artificial intelligence will change navigation by providing more accurate real-time traffic information and smarter routing recommendations. Key points include:
- AI systems can combine historical traffic data with live GPS updates to predict traffic patterns and forecast congestion.
- Predictive maps factor in events like accidents to suggest alternate routes in real-time.
- Over time, navigation systems will integrate more contextual data like locations of businesses and points of interest.
- Traffic management systems using AI aim to lower economic costs of congestion, like the $10 billion annually in Delhi, by providing smarter routing guidance.
Provides basic data services like maps, schedules, etc.
Transaction: Manages transactional services like reservations, purchases, etc.
Location: Tracks locations of users and objects.
Controller: Manages the overall system and coordinates between other servers.
Database: Stores persistent user profiles, device profiles, content data, transaction state etc.
The servers communicate with each other and with the clients over the wireless infrastructure.
System Scalability
A key requirement for Rover is to scale to a very large number of clients, for example, thousands
of users. To achieve this, Rover employs a distributed, concurrent software architecture at the
servers. The key aspects are:
- Fine-g
This document describes a guide cane mobile application that aims to help visually impaired people navigate and communicate more easily. The application would allow blind users to locate nearby buses, get directions, make phone calls, read messages, check their location and battery level using text-to-speech and speech-to-text features. It follows a typical project structure, outlining objectives, existing systems and their disadvantages, the proposed system, advantages, system specifications, implementation details, use case diagrams, sequence diagrams, class diagrams and data flow diagrams. The goal is to provide blind individuals with independence and privacy by allowing independent use of their mobile devices.
“Bus Tracking Application” is an application for Smart phones that works on Android Operating system. This application uses the GPS function. This application at a specific pickup point will send the current location of the bus to students when they request. This app generate predictions of bus arrivals at stops along the route. This application uses a variety of technologies to track the locations of buses in real time
This document proposes a smart city surveillance system that utilizes vehicle-mounted cameras and sensors to crowdsource real-time data about urban events and conditions. Vehicles would collect image and location data using cameras and GPS and upload it to a cloud server. The server would store the data and make it accessible to the public. The system aims to provide detailed, efficient monitoring of cities to benefit residents and officials. It was tested and shown to perform well under increasing workload.
"Mobile App Flipbook - OptiSol provides a detailed flipbook for beginners who startup mobile app services. It's covers topics such as overview of app development, platforms, technologies, testing, monetization and app launch."
Location Based Services, Change in Profile and Notification IRJET Journal
This document discusses a proposed location-based services application for Android devices. It would allow automatic profile changing, weather detection, and message sending based on the user's location. The application would use GPS and internet access to determine the user's location. It describes how location-based services work and the typical components involved, including mobile devices, applications, communication networks, positioning systems like GPS, and backend servers. The proposed application aims to provide these location-based functions for Android smartphones in a simple, automatic way.
This document presents a proposed system for a GPRS-based bus monitoring system in India. Some key points:
- Buses are the main form of public transportation in India but current systems provide little information to passengers about bus locations and arrival times.
- The proposed system would use GPS to track bus locations in real-time and predict arrival times at stops using algorithms. It would provide this information to passengers through a mobile app.
- The app would allow passengers to view bus stops on a map, get estimated arrival times, receive notifications when nearing their stop, and get recommendations for alternate routes if needed.
- This system aims to improve the efficiency and reliability of public bus transportation in India by reducing
PWAs For Travel_ How To Build A PWA Travel App.pdfLucas Lagone
Explore the impact of Progressive Web Apps on the travel industry. Learn how to build an SEO-friendly PWA Travel App and drive business expansion with technical insights.
Read More: PWA Travel App: Building an SEO-Friendly PWAs for Travel
JAVA 2013 IEEE MOBILECOMPUTING PROJECT A scalable server architecture for mob...IEEEGLOBALSOFTTECHNOLOGIES
To Get any Project for CSE, IT ECE, EEE Contact Me @ 09849539085, 09966235788 or mail us - ieeefinalsemprojects@gmail.com-Visit Our Website: www.finalyearprojects.org
A scalable server architecture for mobile presence services in social network...IEEEFINALYEARPROJECTS
To Get any Project for CSE, IT ECE, EEE Contact Me @ 09849539085, 09966235788 or mail us - ieeefinalsemprojects@gmail.co¬m-Visit Our Website: www.finalyearprojects.org
DOTNET 2013 IEEE MOBILECOMPUTING PROJECT A scalable server architecture for m...IEEEGLOBALSOFTTECHNOLOGIES
To Get any Project for CSE, IT ECE, EEE Contact Me @ 09849539085, 09966235788 or mail us - ieeefinalsemprojects@gmail.com-Visit Our Website: www.finalyearprojects.org
Location-aware and mapping applications have gone from a desirable feature to an essential
part of any smart phone. Whether a user is checking into a social network, looking for a
pharmacy in the middle of the night, or located in somewhere and needs help, the key is always
the same: location.
In this project, an Android mapping application is developed. The application is able to display
the map of the whole world while online or, display a pre-downloaded map while offline, track
the user’s location, display a compass to determine north, send the user’s location to others in
case of emergency using SMS, receive and interpret received location from the message, display
it on the map, and notify the user by the reception of the location.
The application was developed using agile methodology. It, met its objectives and successfully
passed 91% of the final system test, recording that some limitations were discovered, the
application needs further testing and can be implemented for particular company or university
using their own maps or editing the maps in OSM (open street maps).
Smart government transportation with cloud securityIRJET Journal
This document describes a proposed smart government transportation system that uses cloud computing and security. The system would allow users to generate passenger monthly passes online through an Android app, reducing paperwork and wait times. It uses GPS to track government vehicle locations and schedules. The system has separate logins for users and administrators. Users can renew passes and refill accounts as needed. Administrators can view user details and balances. Cloud security frameworks are used to securely maintain user data in the cloud. The system aims to provide efficient, reliable transportation services for the public.
Continual analyzes voice and data usage patterns for all subscribers, 24/7, flagging adverse network experiences that affect subscribers and connected vehicles. Using advanced ML it correlates all the important parameters and establishes the impact of these experiences on subscribers.
This document proposes the development of a City Bus application for Android phones to help commuters using B.E.S.T. (Brihanmumbai Electric Supply and Transport) buses in Mumbai. The application would allow users to find the nearest bus stop, view bus routes and schedules, search from source to destination, and estimate bus arrival times to make bus travel more efficient. It aims to automate B.E.S.T. services and provide better public transportation using features integrated with maps, GPS, and a user-friendly interface. The conclusion states this application could enhance services for commuters by planning journeys in advance through easy access from the Google Play store.
Through its various offerings and mobility portfolio, we bring together satellite operator, inflight connectivity company’s providing-Wi-Fi, mobile voice and data, antenna systems, hardware, and software into a single, easy- to-use platform that allows SITAONAIR to deliver the best inflight mobility solution.
Bus Karo: Economic Opportunity through Public Transport ConnectivityWRI India
This document discusses using an accessibility tool to analyze public transportation connectivity and economic opportunity in cities. The tool calculates accessibility values based on travel times from different locations to jobs and other destinations using public transit and road network data. It can measure the current accessibility in a city and compare accessibility under different transportation scenarios. The document provides an example application of the tool to analyze job accessibility from different areas of Bangalore using the existing bus network and a proposed metro route. It discusses limitations of the tool and opportunities for further improvements.
Regional options for caltrain governanceAdina Levin
This document discusses options for regional governance of Caltrain and transit connectivity in the Bay Area. It outlines Caltrain's evolution from standalone commuter rail to a vision of integrated, all-day regional service. A key part of this vision is improving connections to benefit equity. The region now has an opportunity to organize itself to deliver needed capital investments by considering a network manager approach. A network manager could coordinate functions like planning, funding, customer experience, and operations across transit agencies at various levels from light to strong coordination. The document closes by noting upcoming discussions and studies that could impact Caltrain governance and regional rail integration.
The Parking Availability Network is a proposed system that uses sensors embedded in parking spaces and vehicles to track parking availability across a city. Static sensors mark spaces and provide information like occupancy. Mobile sensors in vehicles scan static sensors to tag spaces as occupied or not. This creates a map of parking availability that is integrated with vehicle navigation to help drivers find spaces and reduce congestion. The system also enables dynamic pricing to encourage use of less popular spaces.
3053 its japan_2013_tnbus_apts_english_present_allen_v1.68Hsieh-Chang Chen
The document discusses the development history of the dynamic bus information system in Tainan City, Taiwan. It describes the implementation of the Tainan Bus Automatic Passenger Transport System (APTS), which includes three main components - the Logic Algorithm Center for accuracy, the Algorithm Dispatch Platform for scalability, and the Information Merge & Publish Platform for stability. The system provides real-time bus location and arrival times to passengers through a website and mobile apps, and has increased annual passenger ridership while reducing management costs for bus operators.
This document discusses how artificial intelligence will change navigation by providing more accurate real-time traffic information and smarter routing recommendations. Key points include:
- AI systems can combine historical traffic data with live GPS updates to predict traffic patterns and forecast congestion.
- Predictive maps factor in events like accidents to suggest alternate routes in real-time.
- Over time, navigation systems will integrate more contextual data like locations of businesses and points of interest.
- Traffic management systems using AI aim to lower economic costs of congestion, like the $10 billion annually in Delhi, by providing smarter routing guidance.
Provides basic data services like maps, schedules, etc.
Transaction: Manages transactional services like reservations, purchases, etc.
Location: Tracks locations of users and objects.
Controller: Manages the overall system and coordinates between other servers.
Database: Stores persistent user profiles, device profiles, content data, transaction state etc.
The servers communicate with each other and with the clients over the wireless infrastructure.
System Scalability
A key requirement for Rover is to scale to a very large number of clients, for example, thousands
of users. To achieve this, Rover employs a distributed, concurrent software architecture at the
servers. The key aspects are:
- Fine-g
This document describes a guide cane mobile application that aims to help visually impaired people navigate and communicate more easily. The application would allow blind users to locate nearby buses, get directions, make phone calls, read messages, check their location and battery level using text-to-speech and speech-to-text features. It follows a typical project structure, outlining objectives, existing systems and their disadvantages, the proposed system, advantages, system specifications, implementation details, use case diagrams, sequence diagrams, class diagrams and data flow diagrams. The goal is to provide blind individuals with independence and privacy by allowing independent use of their mobile devices.
“Bus Tracking Application” is an application for Smart phones that works on Android Operating system. This application uses the GPS function. This application at a specific pickup point will send the current location of the bus to students when they request. This app generate predictions of bus arrivals at stops along the route. This application uses a variety of technologies to track the locations of buses in real time
This document proposes a smart city surveillance system that utilizes vehicle-mounted cameras and sensors to crowdsource real-time data about urban events and conditions. Vehicles would collect image and location data using cameras and GPS and upload it to a cloud server. The server would store the data and make it accessible to the public. The system aims to provide detailed, efficient monitoring of cities to benefit residents and officials. It was tested and shown to perform well under increasing workload.
"Mobile App Flipbook - OptiSol provides a detailed flipbook for beginners who startup mobile app services. It's covers topics such as overview of app development, platforms, technologies, testing, monetization and app launch."
Location Based Services, Change in Profile and Notification IRJET Journal
This document discusses a proposed location-based services application for Android devices. It would allow automatic profile changing, weather detection, and message sending based on the user's location. The application would use GPS and internet access to determine the user's location. It describes how location-based services work and the typical components involved, including mobile devices, applications, communication networks, positioning systems like GPS, and backend servers. The proposed application aims to provide these location-based functions for Android smartphones in a simple, automatic way.
This document presents a proposed system for a GPRS-based bus monitoring system in India. Some key points:
- Buses are the main form of public transportation in India but current systems provide little information to passengers about bus locations and arrival times.
- The proposed system would use GPS to track bus locations in real-time and predict arrival times at stops using algorithms. It would provide this information to passengers through a mobile app.
- The app would allow passengers to view bus stops on a map, get estimated arrival times, receive notifications when nearing their stop, and get recommendations for alternate routes if needed.
- This system aims to improve the efficiency and reliability of public bus transportation in India by reducing
PWAs For Travel_ How To Build A PWA Travel App.pdfLucas Lagone
Explore the impact of Progressive Web Apps on the travel industry. Learn how to build an SEO-friendly PWA Travel App and drive business expansion with technical insights.
Read More: PWA Travel App: Building an SEO-Friendly PWAs for Travel
JAVA 2013 IEEE MOBILECOMPUTING PROJECT A scalable server architecture for mob...IEEEGLOBALSOFTTECHNOLOGIES
To Get any Project for CSE, IT ECE, EEE Contact Me @ 09849539085, 09966235788 or mail us - ieeefinalsemprojects@gmail.com-Visit Our Website: www.finalyearprojects.org
A scalable server architecture for mobile presence services in social network...IEEEFINALYEARPROJECTS
To Get any Project for CSE, IT ECE, EEE Contact Me @ 09849539085, 09966235788 or mail us - ieeefinalsemprojects@gmail.co¬m-Visit Our Website: www.finalyearprojects.org
DOTNET 2013 IEEE MOBILECOMPUTING PROJECT A scalable server architecture for m...IEEEGLOBALSOFTTECHNOLOGIES
To Get any Project for CSE, IT ECE, EEE Contact Me @ 09849539085, 09966235788 or mail us - ieeefinalsemprojects@gmail.com-Visit Our Website: www.finalyearprojects.org
Location-aware and mapping applications have gone from a desirable feature to an essential
part of any smart phone. Whether a user is checking into a social network, looking for a
pharmacy in the middle of the night, or located in somewhere and needs help, the key is always
the same: location.
In this project, an Android mapping application is developed. The application is able to display
the map of the whole world while online or, display a pre-downloaded map while offline, track
the user’s location, display a compass to determine north, send the user’s location to others in
case of emergency using SMS, receive and interpret received location from the message, display
it on the map, and notify the user by the reception of the location.
The application was developed using agile methodology. It, met its objectives and successfully
passed 91% of the final system test, recording that some limitations were discovered, the
application needs further testing and can be implemented for particular company or university
using their own maps or editing the maps in OSM (open street maps).
Smart government transportation with cloud securityIRJET Journal
This document describes a proposed smart government transportation system that uses cloud computing and security. The system would allow users to generate passenger monthly passes online through an Android app, reducing paperwork and wait times. It uses GPS to track government vehicle locations and schedules. The system has separate logins for users and administrators. Users can renew passes and refill accounts as needed. Administrators can view user details and balances. Cloud security frameworks are used to securely maintain user data in the cloud. The system aims to provide efficient, reliable transportation services for the public.
IRJET- Smart Bus Ticket System using IoT TechnologyIRJET Journal
This document proposes a smart bus ticket system using IoT technology to improve the reliability of public transportation. It involves collecting real-time location data from buses using devices like e-ticketing systems or Android tablets, transmitting the data using MQTT protocol to a scalable IoT backend, and making the location data accessible to users through APIs and mobile/web applications. The system aims to reduce wait times at bus stops by providing estimated arrival times based on current traffic conditions.
IRJET- Automatic Vehicle Monitoring System based on Wireless Sensor NetworkIRJET Journal
This document summarizes an automatic vehicle monitoring system based on wireless sensor networks. The system uses a network of low-cost wireless sensors to track and monitor vehicles moving toward a city in real-time. It provides location services and monitors weather/environment conditions. The system addresses limitations of previous wired vehicle monitoring systems by using wireless sensors that reduce costs and enable faster response times for traffic safety applications.
International Journal of Engineering Research and DevelopmentIJERD Editor
This document summarizes an architecture called PresenceCloud that is proposed to address scalability issues in mobile presence services for large-scale social networks. PresenceCloud organizes presence server nodes in a quorum-based overlay network with low diameter to efficiently search for users' buddy lists. It employs a one-hop caching strategy where each node caches the user lists of its neighboring nodes to reduce search latency. When a search request is received, the directed search algorithm first checks the local user list and cache, then forwards the remaining search targets to neighboring nodes based on their identifiers to minimize messages. Analysis shows this architecture reduces the communication cost of buddy searches and presence updates to a constant compared to a linear cost for a simple replication approach.
This document summarizes a research paper that proposes an efficient and scalable server architecture called "Presence Cloud" to address problems in large-scale mobile presence services. Presence Cloud organizes presence servers in a quorum-based overlay network with balanced load and small diameter. It employs a one-hop caching strategy and directed search algorithm to reduce message transmission and provide fast buddy list searches with low latency. The performance of Presence Cloud is analyzed in terms of search cost and satisfaction level.
This app helps in simplifying and easing commute services throughout the mega cities for all citizens through one click on your mobile at anytime and from any place as long as you have internet data on your phone.
1) Mobile agents are autonomous software programs that can migrate between network nodes, transporting their code and state between environments.
2) A mobile agent system consists of agents, places that host agents, and supports for execution, management, security, and communication.
3) The Wireless Application Protocol (WAP) enables access to information and services over mobile wireless networks through a browser. WAP uses Wireless Markup Language (WML) instead of HTML and is designed for microbrowsers on devices like phones.
Similar to Navigation.And.Locality.Survey.System (20)
Salesforce Integration for Bonterra Impact Management (fka Social Solutions A...Jeffrey Haguewood
Sidekick Solutions uses Bonterra Impact Management (fka Social Solutions Apricot) and automation solutions to integrate data for business workflows.
We believe integration and automation are essential to user experience and the promise of efficient work through technology. Automation is the critical ingredient to realizing that full vision. We develop integration products and services for Bonterra Case Management software to support the deployment of automations for a variety of use cases.
This video focuses on integration of Salesforce with Bonterra Impact Management.
Interested in deploying an integration with Salesforce for Bonterra Impact Management? Contact us at sales@sidekicksolutionsllc.com to discuss next steps.
Project Management Semester Long Project - Acuityjpupo2018
Acuity is an innovative learning app designed to transform the way you engage with knowledge. Powered by AI technology, Acuity takes complex topics and distills them into concise, interactive summaries that are easy to read & understand. Whether you're exploring the depths of quantum mechanics or seeking insight into historical events, Acuity provides the key information you need without the burden of lengthy texts.
Main news related to the CCS TSI 2023 (2023/1695)Jakub Marek
An English 🇬🇧 translation of a presentation to the speech I gave about the main changes brought by CCS TSI 2023 at the biggest Czech conference on Communications and signalling systems on Railways, which was held in Clarion Hotel Olomouc from 7th to 9th November 2023 (konferenceszt.cz). Attended by around 500 participants and 200 on-line followers.
The original Czech 🇨🇿 version of the presentation can be found here: https://www.slideshare.net/slideshow/hlavni-novinky-souvisejici-s-ccs-tsi-2023-2023-1695/269688092 .
The videorecording (in Czech) from the presentation is available here: https://youtu.be/WzjJWm4IyPk?si=SImb06tuXGb30BEH .
5th LF Energy Power Grid Model Meet-up SlidesDanBrown980551
5th Power Grid Model Meet-up
It is with great pleasure that we extend to you an invitation to the 5th Power Grid Model Meet-up, scheduled for 6th June 2024. This event will adopt a hybrid format, allowing participants to join us either through an online Mircosoft Teams session or in person at TU/e located at Den Dolech 2, Eindhoven, Netherlands. The meet-up will be hosted by Eindhoven University of Technology (TU/e), a research university specializing in engineering science & technology.
Power Grid Model
The global energy transition is placing new and unprecedented demands on Distribution System Operators (DSOs). Alongside upgrades to grid capacity, processes such as digitization, capacity optimization, and congestion management are becoming vital for delivering reliable services.
Power Grid Model is an open source project from Linux Foundation Energy and provides a calculation engine that is increasingly essential for DSOs. It offers a standards-based foundation enabling real-time power systems analysis, simulations of electrical power grids, and sophisticated what-if analysis. In addition, it enables in-depth studies and analysis of the electrical power grid’s behavior and performance. This comprehensive model incorporates essential factors such as power generation capacity, electrical losses, voltage levels, power flows, and system stability.
Power Grid Model is currently being applied in a wide variety of use cases, including grid planning, expansion, reliability, and congestion studies. It can also help in analyzing the impact of renewable energy integration, assessing the effects of disturbances or faults, and developing strategies for grid control and optimization.
What to expect
For the upcoming meetup we are organizing, we have an exciting lineup of activities planned:
-Insightful presentations covering two practical applications of the Power Grid Model.
-An update on the latest advancements in Power Grid -Model technology during the first and second quarters of 2024.
-An interactive brainstorming session to discuss and propose new feature requests.
-An opportunity to connect with fellow Power Grid Model enthusiasts and users.
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.
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
HCL Notes and Domino License Cost Reduction in the World of DLAUpanagenda
Webinar Recording: https://www.panagenda.com/webinars/hcl-notes-and-domino-license-cost-reduction-in-the-world-of-dlau/
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!
We’ll show you how to fix common misconfigurations that cause higher-than-expected user counts, and how to identify accounts which you can deactivate to save money. There are also frequent patterns that can cause unnecessary cost, like using a person document instead of a mail-in for shared mailboxes. We’ll provide examples and solutions for those as well. And naturally we’ll explain the new licensing model.
Join HCL Ambassador Marc Thomas in this webinar with a special guest appearance from Franz Walder. It will give you the tools and know-how to stay on top of what is going on with Domino licensing. You will be able lower your cost through an optimized configuration and keep it low going forward.
These topics will be covered
- Reducing license cost by finding and fixing misconfigurations and superfluous accounts
- How do CCB and CCX licenses really work?
- Understanding the DLAU tool and how to best utilize it
- Tips for common problem areas, like team mailboxes, functional/test users, etc
- Practical examples and best practices to implement right away
Generating privacy-protected synthetic data using Secludy and MilvusZilliz
During this demo, the founders of Secludy will demonstrate how their system utilizes Milvus to store and manipulate embeddings for generating privacy-protected synthetic data. Their approach not only maintains the confidentiality of the original data but also enhances the utility and scalability of LLMs under privacy constraints. Attendees, including machine learning engineers, data scientists, and data managers, will witness first-hand how Secludy's integration with Milvus empowers organizations to harness the power of LLMs securely and efficiently.
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.
Digital Marketing Trends in 2024 | Guide for Staying AheadWask
https://www.wask.co/ebooks/digital-marketing-trends-in-2024
Feeling lost in the digital marketing whirlwind of 2024? Technology is changing, consumer habits are evolving, and staying ahead of the curve feels like a never-ending pursuit. This e-book is your compass. Dive into actionable insights to handle the complexities of modern marketing. From hyper-personalization to the power of user-generated content, learn how to build long-term relationships with your audience and unlock the secrets to success in the ever-shifting digital landscape.
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.
OpenID AuthZEN Interop Read Out - AuthorizationDavid Brossard
During Identiverse 2024 and EIC 2024, members of the OpenID AuthZEN WG got together and demoed their authorization endpoints conforming to the AuthZEN API
Skybuffer SAM4U tool for SAP license adoptionTatiana Kojar
Manage and optimize your license adoption and consumption with SAM4U, an SAP free customer software asset management tool.
SAM4U, an SAP complimentary software asset management tool for customers, delivers a detailed and well-structured overview of license inventory and usage with a user-friendly interface. We offer a hosted, cost-effective, and performance-optimized SAM4U setup in the Skybuffer Cloud environment. You retain ownership of the system and data, while we manage the ABAP 7.58 infrastructure, ensuring fixed Total Cost of Ownership (TCO) and exceptional services through the SAP Fiori interface.