Semantic search

1. connected, city-wide mobile resources; public wifi
2. last mile, multi-modal transport between and to/from Hubs (car share, bike share, ride share, preferably electric vehicles with EV-charging at Hub)
3. GPS / GIS / location services
4. Bus rapid transit, preferably electric, running non-stop Hub to Hub

• Deployment of solar waste compacting bins, ultrasonic fill-level sensors and trackers/beacons
• Utilization of data resource management platform to monitor & analyze various data points

• Deployment of solar waste compacting bins, ultrasonic fill-level sensors and trackers/beacons
• Utilization of data resource management platform to monitor & analyze various data points
• Increase operational efficiency, reduction in collection frequency, strategic asset allocation, labor costs, and greenhouse gases

The smart decisions that balance energy usage with desired water quality and quantity will be supported through the development of cloud-based analytics that is driven with the “Big Data” from distributed array of environmental sensors. These “Internet of Things (IOT)” environmental sensors will be used to both monitor and control the environment. The new data will be supplemented with the data from the existing infrastructure such as SCADA historian databases and meter data. Additional data needs will be examined carefully to reduce their impact on operations. For example, water meter data is usually collected on a daily basis to prolong the battery life whereas the same data may be needed at five-minute intervals to generate an accurate demand picture. Innovative approaches that provide additional data through low-cost sensing and citizen participation will be explored.

• Deploy security infrastructure comprising cameras, sensors and wireless connectivity in a mesh network architecture connected to the IFS vehicle
• Cameras and sensors provide the real time surveillance and trigger alerts to IFS which will be able to immediately respond to the situation
• Multiple IFS from neighboring clusters will provide the redundancy and support to any surge in demand in any particular cluster
• Several IFS can cover a large urban center to provide the immediate real-time security coverage and immediate response to any public safety and security incident(s)

This project has successfully conducted a small pilot phase with non-profit and corp partners. In this stage, we will build on that pilot to encompass a broad array of smart city issues, technologies, tools and diverse low income populations.

1. The project seeks to create an instrumented, interconnected and intelligent work, social and living environment that engender positive real-time interaction of people, places, things and processes with the Covenant University community.
2. The goal is to create a smart community through an integration of relevant emergent technologies such as Internet of things (IoT), cloud computing, ICT networks, wireless sensor networks, artificial intelligence, and Big Data analytics.
3. The emphasis is on the creation of a model Smart City, using Covenant University as the case study.

The possibilities for creating public/ private sector revenue generating ecosystems are vast (e.g. selling recyclables and compostable waste to the highest bidder, revenue sharing with citizens to reward participation). Concert IoT’s Service Exposure and Monetization modules make it possible to expose services to partners for further innovation such that they can be consumed in a secure access and payments/settlements charging policy enforced manner.

• Apply modeling to address multiple-flood types to determine the probable areas at risk by utilizing fixed sensors, crowd-sourced data collection verified by post-flood analysis.
• Use new state-of-the-art high resolution hydrodynamic models driven with atmospheric model weather predictions to forecast flooding from storm surge, rain, and tides at the street-level scale to improve disaster preparedness.

This Cluster will deploy both proven, and newly devised, large-scale Smart City and Region supercomputing predictive analytics to model regional pathways into resiliency with identification of scientific and marketplace solutions to provision and deploy the right Smart City and Region solution stacks.

AI models will include the next generation of Artificial Intelligence, including Complex Systems Simulations, Emulation, and Optimization in order to create highly efficient and robust “autonomous systems” and portfolio-scale analytics and automated services. The predictive analytics developed by Innovation Corridor’s national lab partners will be part of the initial portfolio and baseline.

The Action Cluster will develop a repository of Artificial Intelligence technologies and architectures from founders (Innovation Corridor and Powering IoT) together with eco-system partners in order to fast track the next generation of automated, resilient, cyber secure, environmentally friendly and intelligence-driven distributed systems for Smart Cities and Smart Regions. In addition, new forms of Artificial Intelligence technologies and systems will be developed within this Action Cluster such as a "Personal Digital Twin" - a personal digital avatar that will purposefully and mindfully serves each citizen within a society.

Large-scale compute intensive data sets will train Artificial Intelligence solutions prior to deployment, which will be sourced from a range of partners, jurisdictions and localities and used to refine our Cluster Artificial Intelligence predictive analytics. An eco-system of cities, regions, federal research labs, private sector technology companies and universities provide a unique framework and sandbox to support the deployment of Smart Cities enabling technologies and the provision of resiliency-based and Artificial Intelligence solutions for Smart Cities and Smart Regions.

• Once this matching mechanism matures, Taiwan’s smart city industry will be in full motion and many solutions will be quickly copied by other international cities. At that point, Taipei will become a focal point for the smart city brand and best practice model.

• turning the city into a living lab, meaning Taipei City is the test ground for innovative city solutions.
• making Taipei City government function as a platform for city stakeholders to innovate the city, rather than as a planning and directing organisation.
• turn Taipei Smart City into an independent platform, supported by multiple city stakeholders, including the government, industry partners and knowledge institutes.

This effort is also integrated into a larger national initiative called TeSA (TechSkills Accelerator) to improve the employability of Singaporeans and to meet the demand for skilled tech workforce by different industries across the economy. TeSA involves key industry and employer associations, tech companies in different sectors of the economy, key enterprise users of technology in different industries, government agencies both economic and regulatory ones, labour unions, students and professionals. TeSA is steered through a national Governing Council and various Sector Committees representing different industries. TeSA is led by the Infocomm Media Development Authority of Singapore (IMDA), with other partner agencies.

Both TeSA and talentguru AI-driven platform have been launched. New efforts are being developed and launched on an on-going basis.

The system proactively provides early notification of potential and active public safety incidents to command and control authorities. If the city deems it appropriate they then notify the appropriate first responders. By leveraging advanced analytics including machine learning technologies, the system “learns” normal patterns and detects patterns that appear abnormal. The initial use cases are limited to specific types of incidents that can be detected through video and sound sensor analytics running on edge compute devices as well as social media monitoring. As the system evolves, we expect to expand detection capabilities to detect and alert to a wider variety of incident types.

Our current solution includes technology for “lost person” identification and “vehicle identification”, to assist should an Amber Alert be issued. It also includes wrong way vehicle detection. Future plans could also include facial recognition modules or other advanced detection components and may also include more automated incident response component for greater awareness of the developing situation.

• New environmentally conscious smart city “Mobile Edge cloud-based AI platform and services” plans by upgrading used smartphones and tablet PCs to IoT things that not use anymore and kept in drawer.
• One old smart device is upgraded to IoT things and integrates with various smart services (e.g. smart transportation signals, floor type smart phone crosswalk signals, smartphone digital multi advertisement signage) communication and other edge services to Suwon city and Sejong city in Korea.