(defprocess root (fuzziness)
 (defvariable blobs #’union)
 (always
  (when (eq (read-sensor ’image) ’black)
   (subprocess (measure-blob) :gradient fuzziness)
   (setf blobs
    (list (get-from-sub (measure-blob) blob)))))
 (avoid
  (read-sensor ’query)
  (let ((q (first (read-sensor ’query))))
   (cond
    ((eq q ’blobs)
     (actuate ’response (regional blobs)))
    ((eq q ’area)
     (actuate ’response
      (fold #’+ (mapcar #’second
       (regional blobs)))))))))
(defprocess measure-blob ()
 (defvariable uid #’max :atomic :base 0 :init (random 1))
 (defvariable area #’sum :reduction :base 0 :init 1)
 (defvariable blob :local)
 (always
  (setf blob (list uid area))))

Code to find a set of fuzzy blobs and their areas in a binary image. Each contiguous black area of the image runs a connected measure-blob pro- cess that names it and calculates its area. The set of blobs is collected by the root process and made accessible to the user on the response actuator...

Are there yet ZigBee products on the market?

Yes, there are. Some implement an actual ZigBee stack while others feature a ZigBee ready platform like EmberNet.

Examples in the residential space include Control4 (lighting), Eaton (home automation), Golden Power Manufacturing (sprinklers and thermostats), Hawking Technology (home gateways), Kalirel (heating), Mija (fire extinguishers), Nice (shutters), and TSC Systems (home automation).

Examples in the commercial space include Mija (fire extinguishers), Philips (lighting), Siemens (building automation), and TAC (building automation).

Networks of coupled dynamical systems have been used to model ... and many other self-organizing systems. Ordinarily, the connection topology is assumed to be either completely regular or completely random. But many biological, technological and social networks lie somewhere between these two extremes. Here we explore simple models of networks that can be tuned through this middle ground: regular networks 'rewired' to introduce increasing amounts of disorder. We find that these systems can be highly clustered, like regular lattices, yet have small characteristic path lengths, like random graphs. We call them 'small-world' networks, by analogy with the small-world phenomenon (popularly 6 degrees of separation. The neural network of the worm Caenorhabditis elegans, the power grid of the western United States, and the collaboration graph of film actors are shown to be small-world networks.

Strategic Management Database in Brief
To help the busy executive keep a half-step ahead of the game