Source: Telematics Update
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In the context of WSNs, the D3S has been successful in bringing research results into real‐world, long‐term, operational deployments. Examples are the structural health monitoring of a medieval tower, and the closed‐loop control of lighting in a road tunnel. The scientific results of these projects received the Best Paper Award at IPSN (both in 2009 and 2011) and the Mark Weiser Best Paper Award at PerCom 2012. The WSN-based system deployed in the road tunnel has been granted an EU patent.
Other ongoing projects include: i) a project aimed at large-scale monitoring of the environment and the wildlife dwelling in it; ii) a cross-disciplinary project on smart spaces, iii) a follow-up project of the road tunnel deployment, investigating energy-harvesting devices and wireless actuation.
Although we emphasize real-world applications as a motivation and a concrete opportunity for the validation of our research, the latter is not limited to the immediate needs of WSN deployments. We perform a mix of curiosity-driven and application-driven research. The research challenges tackled by D3S span a broad set of topics, ranging from low-layer issues concerned with the characterization and design of communication protocols to higher-layer issues related with programming platforms and software achitectures for WSNs.
The successful candidate is expected to propose ideas and lead scientific efforts on ongoing research topics, and to coordinate the related activities of junior members of the team.
More information available here
The 12th European Conference on Wireless Sensor Networks (EWSN 2015) will be held in Porto, Portugal on 9-11 February 2015.
The organizers of EWSN 2015, the twelfth meeting in this series, are pleased to announce an updated scope that combines the traditional focus of this conference with emphasis on recent and emerging directions in networked sensing. These new and emerging directions include (i) study of networked sensing in the broader context of larger cyber-physical systems and Internet of Things architectures, (ii) investigation of mobile and human-centric sensing, (iii) exploration of large-scale data and information processing challenges.
* Extended Scope
EWSN 2015 will feature an updated scope, combining the traditional focus of this
conference with emphasis on recent and emerging directions in networked sensing.
* Updated Topics on Emerging Directions
In line with the extended scope, we are soliciting contributions to new and emerging
directions, such as: Human-centric sensing (e.g. crowd-sourcing/crowd-sensing, mobile
sensing) or big (sensor) data challenges (e.g. large-scale information processing,
analysis of sensor data).
* New Additional Paper Format
EWSN 2015 will introduce a smaller paper format for validated early ideas that can be
described by a more concise contribution. Therefore, we solicit two types of original
submissions for oral presentation: full papers (16-pages) and short papers (8 pages).
Topics of Interest
EWSN 2015 welcomes contributions describing original ideas, promising new concepts,
and practical experiences (experimental validation, rebuttal, and/or comparison of
existing approaches) that fall broadly in the following topics:
* Wireless sensor networks and protocols:
-Communication and network protocols
-Information and signal processing
-Software engineering for wireless sensor networks
-Programming abstractions and tools
-Hardware design and implementation
-Sensor network operating systems and resource management
-Cognitive sensor networks
* Sensor network applications and services:
-Sensing in cyber-physical systems
-Internet of Things
-Cooperative object architectures
-Novel uses of sensor data, including healthcare, body area networks, vehicular applications, and smart buildings
-Localization and tracking services
-Security and fault tolerance
-Sensor network middleware
-Models, systems, and experiences with humans as sensors
* Human-centric sensing:
-Smart phone sensing applications
-Opportunistic, participatory, and social sensing
* Big (sensor) data challenges:
-Large-scale information processing, learning, mining, and analysis of sensor data
-Challenges in sensor data stream processing
-Networked data fusion challenges
-Prototypes, testbeds, field experiments
Paper registration: 8-Sep-2014
Paper submission: 15-Sep-2014
Paper notification: 16-Nov-2014
Camera ready: 7-Dec-2014
We are seeking a candidate to conduct research in the context of a funded 3‐year project, starting in 2014, aimed at large‐scale monitoring of the environment, and of the wildlife dwelling in it. To this end, the project employs a mixture of static and mobile (animal‐borne) WSN nodes, which are used in synergy with other monitoring technologies, such as on‐board low‐resolution cameras and remote sensing. As such, the project tackles several open research problems, for instance: protocols supporting opportunistic delivery of data (including camera snapshots) from the mobile WSN nodes; programming approaches enabling users to easily tailor the WSN to their application needs; models and methodologies guiding the integrated acquisition and use of the multi‐scale data provided by remote sensing and on‐ground WSNs.
The successful candidate is expected to propose ideas and lead scientific efforts on the project research topics, and to coordinate the related activities of junior members of the team. The language of the research group is English.
D3S has a successful track of bringing research results into real‐world, long‐term, operational WSN deployments. Examples are the structural health monitoring of a medieval tower, and the closed‐loop control of lighting in a road tunnel, which received Best Paper Awards at IPSN (2009 and 2011) and PerCom (2012).
The Department of Information Engineering and Computer Science is a leading and fast‐growing research institution, characterized by a young and international faculty and by a large, international student population. Indicators for scientific production place the department among the top in Europe. Trento is a vibrant city with a beautifully preserved historic center, consistently ranked at the top for quality of life in Italy. It offers a variety of cultural and sports opportunities all year around, as well as excellent food and wine.
* Ph.D. in computer science, telecommunications, or related fields;
* strong programming and systems skills: hands‐on knowledge of TinyOS and/or Contiki is very welcome, and so is experience with building WSN in‐field deployments;
* knowledge of WSN research: communication issues, MAC and routing protocols, programming platforms;
* good analytical, technical, and problem solving skills;
* good teamwork and organizational skills.
The position is intended to last 2 years (with an intermediate evaluation at 12 months) and can be extended. The indicative start date is February 2014, however other start times can be considered.
The deadline for applications is November 25, 2013.
Applications should contain, in a single PDF document:
* a cover letter stating the applicant’s research goals;
* a detailed CV including publication list;
* names and contact information for three references.
Applications should be sent via e‐mail (subject: “D3S postdoc application”) to gianpietro.picco(AT_symbol)unitn.it. For more information, please contact Prof. Gian Pietro Picco (gianpietro.picco(AT_symbol)unitn.it).
As a side note: Prof. Gian Pietro Picco is attending ACM SenSys in Rome next week, in case any candidate around wants to chat personally about the position and the project.
Your next elevator pitch might actually come from data derived from your elevator. That’s the case for an unnamed elevator manufacturing company that used Splunk’s machine data logging software to track how often its elevators were taking trips in its clients’ buildings. It noticed that the fewer trips people made, the more likely it was that the client would cancel the lucrative maintenance contracts the firm offered.
So it took that data and tweaked its approach. Now when it sees a slowdown it reaches out to the client to try a new plan or just make sure the clients don’t cancel. In the future it may offer new pricing plans to adjust for slack usage.
That’s just one way connected devices and the data they offer can be used for benefitting a business. But the value of constant connectivity to a firm goes far beyond that — and could change the way businesses operate. Even after a product goes out the door, the company responsible can still keep an eye on it. That has big repercussions for business and consumers — and not all of those repercussions may be welcome.
For example, the constant contact can also help tweak a design or improve the function of a product — even out in the field. In a recent conversation, Splunk’s Tapan Bhatt walked me through a few examples such as the one above, where the company’s machine logging data helped businesses adjust. For example, the makers of the Nest thermostat use Splunk to analyze data uploaded from hundreds of thousands of homes, and tune their algorithms for energy performance.
Medical device manufacturer iRhythm uploads remote monitor data to Splunk to make sure devices run as expected, as well as help ensure that patients can use the devices intuitively. In many ways this isn’t new. Jeremy Conrad at Lemnos Labs pointed out to me in a conversation last month that many manufactured devices are tweaked again and again after the first manufacturing run to smooth out perceived and real flaws in the design.
The shift is that it can now happen constantly and that the changes might be implemented weeks or months after the product has been manufactured. Advertising firms and online publications have been using such data to refine their products for years. The Huffington Post’s love of A/B headline testing is well documented, while the use of eye tracking in web site design is a common practice. But more connectivity in devices means the fine-tuning and easy tracking that are common in digital products are now available in the real world.
More info here.
How healthy is your air? How much volatile organic compounds (VOCs) does it has?
If you are curious about it now you could find out. A study conducted in Los Angeles, California, area using the Valarm App and the Yocto-VOC sensor show interesting results. You can follow these steps and do the same thing in your neighborhood or area of interest.
For some people the Los Angeles area is notorious for pollution, but LA covers a lot of area so which parts of town are more dangerous for your health? Air quality can be observed to vary dramatically from the west end of the city (where the ocean is) to the east end, where mountains seem to trap pollutants. There’s also variability from the north to south in air quality (and other health factors).
Full story available here.