Tag: Iot

Coastal communities in the Southern United States are frequently impacted by flooding from storm surge, rain, and tides. To help monitor and enhance flood emergency preparedness, the Virginia Institute of Marine Science (VIMS) at the College of William & Mary has been providing tidal forecasts since 2012 for a dozen locations in the lower Chesapeake Bay through its VIMS TideWatch Network. To expand and enhance these capabilities along Virginia’s seaside Eastern Shore, VIMS developed StormSense. The StormSense project works closely with coastal local governments leveraging a network of Internet of Things (IoT)-enabled water level sensors, VIMS’s hydrodynamic flood modeling and forecasting capabilities, and the VIMS TideWatch Network to improve flood resilience in the region.

The UCLA School of Medicine’s BREATHE (Biomedical REAl-Time Health Evaluation) project for pediatric asthma wanted to know if real-time data collection could pinpoint ways to predict and prevent asthma attacks in children. To explore this, the School of Medicine Research Computing (RC) Team designed an Amazon Web Services (AWS) environment that uses 24/7 data collection, machine-learning algorithms, and heavy computation that their on-premises cluster could not handle.

Transportation and traffic management are hot topics when city planners and administrations think about ways to make a city smarter and more livable. Recent statistics tell us that drivers in the U.S. spend an average of 42 hours per year in traffic in cities and lose $1,400 on gas, while idling. In Europe, cities like London and Paris show an average of 74 and 69 hours spent idling per year respectively. Researchers in England found adding an additional 20 minutes of commuting per day has the same negative effect on job satisfaction as receiving a 19% pay cut. These statistics and an increasing desire to be more environment friendly are reasons why city leaders are looking to tackle this problem.

Recife, the capital of Brazil’s northeastern state of Pernambuco, is distinguished by its many rivers, bridges, islets, and peninsulas. The municipality of Recife, with an estimated population of 1.62 million, is at the center of a metropolitan region formed by 13 municipalities and around 94 neighborhoods. The cost to maintain such a large metropolis is great, requiring a complex public-cleaning operation with thousands of vehicles and employees, which was consuming nearly 10% of the city’s budget. Before implementing a new technology solution, supervising contractors and controlling the quality of street-cleaning services throughout the city was challenging.

Public sector organizations worldwide have responsibility for high-value assets and operations associated with utilities, public venues, roads, bridges, transit and mobility systems, airports, ports, and public health systems. Unexpected downtime can lead to critical outages that cost millions of dollars in lost productivity, but replacing or fixing broken equipment can also cost tens of thousands of dollars in extra expenses. Predictive maintenance analytics capture the state of the equipment, so you can identify potential breakdowns before they impact operations.

Cities worldwide are improving citizen services and economic and environmental outcomes through technology, while also seeking to create a vision of what a smart, connected, and sustainable city of the future will look like. While you can start building and experimenting today, it’s important to have a long-term vision and a set of principles to guide you in building cost-effective, adaptable, secure, and low-risk solutions during a time of rapid technological change.

Data collected by the Internet of Things (IoT) devices can be used by organizations to measure the effectiveness of their work and steer their interventions towards greater impact for global good. By creating a culture of data, organizations and stakeholders are able to self-correct, evaluate, and improve health systems. But even with multiplying interventions based around IoT, many global health initiatives lack the transparent and objective field data needed.

With sensor technology, the Internet of Things (IoT) and machine learning capabilities, smart cities are coming online. Cities can use technology to quickly and effectively identify areas needing government attention. Sensors can measure things from noise pollution to the fullness of public trashcans. As these technologies become more common, policymakers around the world are proving that the path to a smart, connected city begins with its residents.

Fifty-one Las Vegas area students attended re:Invent to learn about cloud computing and how they can get involved with technology beginning with a STEM (Science, Technology, Engineering and Math) educational path – and ultimately leading to a cloud computing career.

September 8, 2021: Amazon Elasticsearch Service has been renamed to Amazon OpenSearch Service. See details. From introductory material to in-depth architectures, the AWS Public Sector Summit featured sessions relevant to healthcare and life science researchers. The full set of session videos are located here, along with slides to match, but in this post, we will […]