Complex Insight - Understanding our world
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Complex Insight  - Understanding our world
A few things the Symbol Research team are reading.  Complex Insight is curated by Phillip Trotter (www.linkedin.com/in/phillip-trotter) from Symbol Research
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The new smart city – from hi-tech sensors to social innovation

The new smart city – from hi-tech sensors to social innovation | Complex Insight  - Understanding our world | Scoop.it

At last week's Smart City World Expo in Barcelona, Jong-Sung Hwang, former CIO of the Seoul metropolitan government, informed of the city's attempt to capture real-time traffic data. For years the city invested millions of dollars in sensors embedded into the road infrastructure.

"But we failed again and again," said Hwang. "It cost a lot ... but the traffic information was not correct so could not be used." In 2012, however, the city's 25,000 taxis introduced a touchcard payment system using GPS technology, effectively giving Seoul the real-time traffic information it had long craved at a fraction of the cost. "A smart city can now use smart technology and solve problems without changing the city infrastructure", said Hwang.

Phillip Trotter's insight:

Good article on how smart cities can be implemented using technologies that are increasingly being deployed for related developments.

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IBM and Libelium Launch Internet of Things Starter Kit - Wall Street Journal

IBM and Libelium Launch Internet of Things Starter Kit - Wall Street Journal | Complex Insight  - Understanding our world | Scoop.it
IBM and Libelium Launch Internet of Things Starter Kit Wall Street Journal IBM (NYSE: IBM) and Libelium, a wireless sensor network hardware provider, today released an Internet of Things Starter Kit to enable dozens of sensor applications ranging...
Phillip Trotter's insight:

As a big fan of Libelium's wireless sensor network hardware - its good to see them gain a big industry partner in IBM and launch their starter kits to a bigger audience.   

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Ingredients for Semantic Sensor Networks

Ingredients for the Semantic Sensor WebJožef Stefan InstituteLjubljana, SloveniaSeptember 23rd 2011Oscar CorchoFacultad de Inform
Phillip Trotter's insight:

Great presentation on semantic analysis of data captured by sensor networks  by Oscar Corcho of the Jozef Stefan Institute, Slovenia. 

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Networks of Sensors Annual Technology Showcase - International Environmental Technology

Networks of Sensors Annual Technology Showcase - International Environmental Technology | Complex Insight  - Understanding our world | Scoop.it

This year’s Showcase will feature the practical outcomes of three years of research, discussing the installations, hardware, software, and results of six very different types of Sensor Networks. In addition to the presentations, there will be opportunities for attendees to see the hardware and software, and to meet the teams. - See more at: http://www.envirotech-online.com/news/water-wastewater/9/nerc/networks_of_sensors_annual_technology_showcase/27271/#sthash.WN0G6gvn.dpuf

Phillip Trotter's insight:

This year's event is likely to be a tipping point for UK environmental monitoring and will undoubtedly help inform future UK govt  and industry policies. The results of the research and different network configurations  showcase will be of interest to anyone using environment sensing data be it in simulations (like us) or for direct data analysis. 

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Markov Network Brains

Markov Network Brains | Complex Insight  - Understanding our world | Scoop.it
In a general sense, a Markov Network Brain (MNB) implements a probabilistic finite state machine, and as such is a Hidden Markov Model (HMM). MNBs act as controllers and decision makers for agents ...
Phillip Trotter's insight:

If like me, you are old enough to remember the animals to animats proceedings from the early 1990's which detailed early researchon  agent based modeling, reinforcement learning algorithms and autonomous robots using neural networks, genetic algorithms and other probabilistic finite state machines as control architectures this will be of interest. If you are not -try and find a copy and read up - since a lot of current research is based on early ideas presented in those proceedings. The Adamilab have produced a stable implementation and platform for hidden markov model based controllers for agent based models and robotics. Code is available on Github and the Markov Network Brains article gives a good overview of why its of interest and underlying reasoning behind the implementation for anyone working on agent based simulation and autonomous robot and sensor platforms.

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Libelium Launches Waspmote Plug & Sense | EON: Enhanced Online News

Libelium Launches Waspmote Plug & Sense | EON: Enhanced Online News | Complex Insight  - Understanding our world | Scoop.it

One of our favourite sensor companies had a big announcement last week/ Wireless sensor networks platform provider Libelium has launched Waspmote Plug & Sense! a new line of Libelium encapsulated wireless sensor devices allowing system integrators to implement scalable, modular wireless sensor networks and reduce installation time from days to hours.  “We have reduced the complexity of installation with a solution that provides low-cost maintenance and a high degree of scalability, ensuring the  shortest time to market for system integrators and end users.” Waspmote Plug & Sense! models are pre-configured to create such widely applicable services as Smart Cities, Smart Parking, Smart Agriculture, Air Quality, Smart Security, Ambient Control and, Radiation Control, out of the box. Unlike other platforms, Waspmote Plug & Sense! sensor nodes are ready for deployment anywhere in the world, in terms of available  radio frequencies (2.4GHz, 868/900Mhz) and certification (CE, FCC, IC).       Plug & Sense are set to send information to Meshlium, the sensor gateway that uploads data to the Cloud, making the data accessible from anywhere and easy to integrate into third-party applications. Cilck on the image or title to learn more.

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