keskiviikko 7. lokakuuta 2009
Laitoksen vaiko organisaation koko kelpoisuusehtona syöttötariffiin
Näin pienet yksiköt voisivat yhdistyä yhdeksi suureksi, joskin hajautetuksi "laitostoksi". Tuotantoa seurattaisiin sisäisesti ja yksikkökohtaisesti ja koottaisiin keskitetysti yhteiseen raporttiin.
Nyt vaan luovuus kukkimaan asianosaisilla. Ehkäpä nykyinenkin säännöstö voisi tähän taipua - kunhan koko laitoksen ei tarvitse sijaita kokonaisenä yhdessä ja samassa paikassa?
Johtui mieleeni uutisesta: http://www.vihrealanka.fi/uutiset/pientuotanto-jäi-syöttötariffin-ulkopuolelle
tiistai 2. kesäkuuta 2009
Roadmapping Bluetooth Sensor Networks and Social Networks for Pandemic Desease Monitoring and Modeling Data Recording
Most of todays mobile phones, some GPS navigators and other personal electronic gadgets have bluetooth - a near distance radio frequency connectivity primarily used for wireless headsets, data transfer, networking etc. However, more creative "social" use is also possible. Namely each device has a unique identity code that can be used in tracking. This "Bluetooth Device Address" can represent the owner of the device. It is visible to other bluetooth devices in nearby physical proximity and can thus be used to track encounters with other people. It is required, however, that the bluetooth is set active or "discoverable" in device settings.
Technically, there is nothing new in bluetooth tracking. It has already been done succesfully. For example, bluetoothtracking.org in the Neatherlands has collected data near highways and created statistics of the amount of devices per hour - people have their mobile phones and GPS navigators in their vechicles. Also, based on the default values of "Bluetooth Device Names", they were able to compose a list of the most common mobile phones and GPS navigators encountered. This is possible since manufacturers ofthen default the Bluetooth Device Names to the manufacturer name and the model.
Online social networks take the bluetooth tracking to the next level. Services like aka-aki.com, brightkite.com, hyves.net, loopt.com, nearconn.com, next2friends.com, and zyb.com let users engage in "bluedating" by connecting their profiles with their personal bluetooth encounter information. This can be done by a custom mobile phone software for each user. When activated, it keeps track of other nearby bluetooth devices and collects the data on the online servers. There it is checked against the registered users to determine whether you have encountered someone who also has a profile on the same service or also, as at aka-aki.com, wheter the uknown IDs have been detected earlier by someone registered to the service or wheter someone registered is on a 2 km / 1.2 miles "walking distance" based on cell information of the mobile phone network in use. Thus, blueotooth enabled social networks cultivate social curiocity and help to organize the social life.
Picture. Aka-aki can be used to track Bluetooth encounters with their mobile phone and iPhone clients. Users' own encounter data is visible on the personal aka-aki page.
The tracking idea can be taken even further and applied more serious matters. Because bluetooth can be used to track peoples' encounters, they could also be used to track the proliferation of infectious desease among the population. Encounter information could be used to track infection paths and to give supporting information to the pandemic computational models of the proliferation of infections.
There are a number of practical reasons on the way that all contribute negatively to the critical mass of penetration: Would we get enough data to begin with? Do we get enough people to participate? Do we get the related companies to create usable and supportive services, practices, and (non-over-) pricing models in order to work towards the greater goal and for, not against, the critical mass.
- Do we get enough people to participate: to a) enable their bluetooth, set their bluetooth devices to "discoverable"; to b) register, install, and log-in to appropriate bluetooth enabled social network with appropriate mobile client; to c) accept the possible data transfer costs or possibly introduce them to a better mobile data plan.
- Do we get monetazing-savvy technology oriented companies towards common goal? Are they motivated to implement such systems? Are they willing to work with possible competitors towards open public standards? Can they still monetize the situation?
- Are governments able to realize this potential and able to develope the legislation quickly enough when it comes to privacy rights against common good on population level?
We have reasons to believe users might react to this even quite positively. In 2008, Skinner and Finkelstein reviewed 23 articles where mobile phones were used in disease management telemedicine application. They found out that "[u]ser compliance and satisfaction with mobile phone based healthcare applications was high for all patient populations." It is interesting to note that applications include not only disease management and disease monitoring but also disease prevention and patient education. Innovation on all these four sections could be used to make the technology more appealing for the different parties, and thus closing in the gap to the critical mass.
For more information, you might want to see the following links:
- Integrating Social Networks and Sensor Networks in January, 2009, a paper published on W3C Workshop on the Future of Social Networking
- http://en.wikipedia.org/wiki/List_of_PAN_dating_software
- http://en.wikipedia.org/wiki/Bluedating
- Google Internet Summit 2009: Wireless and Sensor Technology. Check out this video of a session to see current and future visions of the wireless sensor applications and technology enabling them. Bluetooth is only one but good example of a technology enabling distributed sensor network data gathering. [Update 01-June-2009]
PS. When it comes to pandemic threats, don't panic, there's no reason. Act rationally and practically, it helps a lot: http://en.wikipedia.org/wiki/Influenza#Infection_control
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