Atlantic Ocean
Stream Reasoning in Temporal Datalog
Ronca, Alessandro (University of Oxford) | Kaminski, Mark (University of Oxford) | Grau, Bernardo Cuenca (University of Oxford) | Motik, Boris (University of Oxford) | Horrocks, Ian (University of Oxford)
Consider a number of wind turbines scattered throughout the North Sea. Each turbine is equipped with a Query processing over data streams is a key aspect of Big sensor, which continuously records temperature levels of key Data applications. For instance, algorithmic trading relies on devices within the turbine and sends those readings to a data real-time analysis of stock tickers and financial news items centre monitoring the functioning of the turbines. Temperature (Nuti et al. 2011); oil and gas companies continuously monitor levels are streamed by sensors using a ternary predicate and analyse data coming from their wellsites in order Temp, whose arguments identify the device, the temperature to detect equipment malfunction and predict maintenance level, and the time of the reading. A monitoring task in the needs (Cosad et al. 2009); network providers perform realtime data centre is to track the activation of cooling measures in analysis of network flow data to identify traffic anomalies each turbine, record temperature-induced malfunctions and and DoS attacks (Münz and Carle 2007).
Deep-sea robots are scoping out the secret origins of algae blooms
The North Atlantic Ocean punches far above its weight when it comes to scrubbing carbon dioxide. While it accounts for less than 1.5 percent of the total surface area of the world's oceans, it captures about 20 percent of the CO2 sequestered by the seas. Cold ocean waters help trap planet-warming carbon dioxide lingering in the atmosphere. Then, algae soak up that carbon dioxide during photosynthesis, just like grasses and trees do on land. From the information collected thus far, the scientists have concluded that the spring bloom is preceded by a "winter simmer," when algae tend to lay low.
'Crazy' North Sea wind farm island set for 2027
A'crazy' artificial island in the North Sea that could supply renewable energy to 80 million people in Europe is set to open in 2027. Plans for the 2.3 square mile (6 square km) landmass suggest it will be surrounded by fields of offshore wind turbines and come with its own airstrip and harbour. The'North Sea Wind Power Hub', which will be home to a small team of permanent staff, will send electricity via long-distance cables to Britain and the Netherlands, and later to Denmark, Germany, Norway and Belgium. An artificial island (artist's impression pictured) with an airstrip and harbour is set to be built in the North Sea to help power Europe. Dogger Bank, 78 miles (125 km) off the East Yorkshire coast, has been identified as a potential shallow and windy building site for the £1.3 billion ($1.75 billion) project.
How Innovations in AI Sensor Technology Analyze Ecological Data
Every day, it seems that there is another innovation regarding how artificial intelligence can be used to do things humans couldn't do on their own. Several weeks ago, it was reported that scientists can now use AI to listen to conversations that dolphins are having with each other; an algorithm assists a research team go through millions of echolocation clicks made by these marine mammals found in the Gulf of Mexico. Although this may not seem important, learning about how new innovations with AI sensor technology can sift through ecological data may help to see how climate change and oil spills impact dolphins in this region while being a catalyst to other possible breakthroughs with artificial intelligence. Machine Learning is a component of computer science that allows computers the ability to understand without being programmed explicitly. Evolved from the study of pattern recognition and computational learning theory in artificial intelligence, machine learning explores the study and construction of algorithms that can learn from and make predictions on data.
Scientists eavesdrop on dolphins using AI
Scientists have developed an algorithm to monitor the underwater chatter of dolphins with the help of machine learning. Using autonomous underwater sensors, researchers working in the Gulf of Mexico spent two years making recordings of dolphin echolocation clicks. The result was a data set of 52 million click noises. To sort through this vast amount of information, the scientists employed an "unsupervised" algorithm that automatically classified the noises into categories. Without being "taught" to recognise patterns that were already known, the algorithm was able to seek original patterns in the data and identify types of click.
Episode two Blue Planet II gives glimpse into the deep
Episode two of Blue Planet II could be one of Sir David Attenborough's scariest shows yet - giving us a glimpse of life in total darkness that we are only just starting to explore. The episode also looks at peculiar gardens that are thriving in the pitch black as well as species of coral that have never been seen in shallower waters. The fangtooth (pictured) has the largest teeth relative to body size for any fish in the entire ocean. The filming of Blue Planet involved around 1,000 people from producers to deep sea divers, researchers to scientists, camera crews to helicopter pilots and drone operators. Some 125 expeditions were undertaken across every ocean, with 1,500 days spent at sea and 6,000 hours underwater.
Experts find graveyard of 60 preserved ancient shipwrecks
Dozens of perfectly preserved ancient shipwrecks have been found at the bottom of the Black Sea. A total of 60 wrecks were discovered dating back as far as 2,500 years, including galleys from the Roman, Byzantine and Ottoman empires. Scientists stumbled upon the graveyard while using underwater robots to survey the effects of climate change along the Bulgarian coast. Because the Black Sea contains almost no light or oxygen, little life can survive, meaning the wrecks are in excellent condition. Researchers say their discovery is'truly unrivalled'.
The top 20 industrial IoT applications
The term "industrial Internet of Things" has a more muted-sounding promise of driving operational efficiencies through automation, connectivity and analytics. But the focus of IIoT -- on industry at large -- is broader. Here, we take a comprehensive view, rounding up 20 IIoT leaders and pioneers, drawing on the feedback from industry analysts and consultants. The focus here is not on vendors offering, say, a cloud-based platform for monitoring industrial machines but on the companies that themselves are using IIoT technology to drive their business forward. For the sake of this feature, we focus on organizations that use connected technology in tandem with cloud-based analytics to drive efficiencies and launch new business models.
Why GPS Spoofing Is a Threat to Companies, Countries
When the crew of an $80-million super-yacht in the Ionian Sea checked its computer, they realized they were drifting slightly off course, likely as a result of strong currents buffeting their ship. The crew made adjustments and went back to work--without realizing they were now taking directions from a hacker. In the bowels of the ship, Todd Humphreys, an associate professor in the Department of Aerospace Engineering and Engineering Mechanics at the University of Texas at Austin, worked with his team to feed the super-yacht's crew false navigation data using a few thousand dollars worth of hardware and software. The crew was completely unaware they were now piloting in a direction of Humphreys' choosing. Thankfully, it was all an experiment that took place with the yacht owner's blessing.