Scroll through and explore these exciting next-generation application in various stages of development. All these applications use next-gen technologies like software-defined networking, local cloud and gigabit to end-user and are transforming how we live, work, learn and play. If you have an application you would like to include in this growing list, please following the instruction below and join the US Ignite community.
Track and know each other ETA for an event to prevent texting or calling while driving. it also time stamps each persons arrival
Using smart meter data to provide consumers Smart insight in consumption: total, classified appliances, stand-by. 24/7/365. Real-time.
A cloud-based platform for integrating city system data in a central information model for real-time visualization, analysis, and archiving.
Cityzenith's 5D Smart City UI and app stack platform empower cities around the world to cities develop and deploy standards-based solutions.
SIGFOX uses a UNB (Ultra Narrow Band) based radio technology to connect devices to its global network. The use of UNB is key to providing a scalable, high-capacity network, with very low energy consumption, while maintaining a simple and easy to rollout star-based cell infrastructure.
This application, targeted for use by Healthcare Providers and/or Hospitals, will enable secure and tiered access to resources over a network optimized for end-user experience that is: 1) Policy-based; 2) On-Demand; and 3) Access anytime, anywhere & any device. In this demo we will employ Software-Defined Networking technology to show case: Policy-optimized Networks Optimize network experience (speed, security, differentiated Quality-of-Service) based on user identity, location, application, and duration. Provide role-based (Doctor, Guest) access to authorized resources. E.g. :Doctor can access Patient Health Information (PHI) records and Regular Internet and Guest can access Regular Internet only. Provision role-based (Doctor, Guest) virtual network slices on top of the same physical network. Demonstrate performance isolation between the slices where excessive traffic on “Guest” Network Slice will have no impact on the performance of the “Doctor” network slice. Automatically re-provision network as user switches from one application to another on his/her hand-held device. E.g: when a doctor transitions from accessing PHI records (low bandwidth requirements) to making a tele-health call (high bandwidth requirements) the the network reprovisions itself from a high hop-count low bandwidth path to a low hop-count high bandwidth path without any perceiviabe performance detorioration. Transfer network experience from location to location. E.g: a doctor making a tele-health call from his home will get the same network experience as he would from the hospital regardless of the network serivce-provider and the underlying physical network.
See the latest network monitoring/troubleshooting and testing technologies - using inline microprobes and virtual test agents. JDSU would display live demonstrations of JDSU's innovative PacketPortal technology using Laptop based applications and an external network switch, equipped with PacketPortal 1G Ethernet SFProbes. This would be used to display live remote traffic monitoring.
This team will showcase its deployment of smart plugs on various devices in buildings. The city has installed pilot “smart plugs” which are inserted between a wall outlet and electrical devices and transmit power output data via Wi-Fi to a portal on a mobile device or desktop. Using the plugs and a management system, the city can monitor power consumption in city buildings and determine what devices are top energy users. The user can also turn off power to a particular device remotely – enabling the city and citizens to reduce energy consumption and save money. To date, through a pilot, the city has found that soda vending machines and coffee pots used the most electricity. When power to those devices was managed through smart plugs, it saved the city money. The city is looking at a 50 percent average in savings using plug load controls year over year.