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for i = 0,1,2, ... ,j - 2. It then follows that [Golub and van Loan, 1996]

(2.5.36) (2.5.37)

Then from (2.5.23) and (2.5.37)

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Dec 18, 2014 · Michael has a large pile of handwritten notepads that he would like to ... OCR works best with high-quality printed materials and worst of all with ...

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a sensor node when the sensor node receives a message; every keyword de nes events occurring periodically due to a timer time-out; and the expire keyword de nes the events occurring when a timer is expired. If a sensor node receives a message that is intended for it and contains a script, the sensor node then executes the script. Although SQTL is proposed, different types of SQDDP can be developed for various applications. The use of SQDDPs may be unique to each application.

(2.5.38)

giving (2.5.39)

(2.5.43)

be the L norm. From (2.5.40) and (2.5.42),

Il r i-111 2

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144 MOBILE SENSOR NETWORKS DEPLOYMENT A mobile sensor network is composed of a distributed collection of nodes, each of which in addition to sensing, computation and communication also has locomotion capabilities Locomotion facilitates a number of useful network capabilities, including the ability to selfdeploy and self-repair The use of mobile sensor networks includes applications ranging from urban combat scenarios to search-and-rescue operations and emergency environment monitoring An example is a scenario involving a hazardous materials leak in an urban environment In general, we would like to be able to throw a number of sensor nodes into a building through a window or doorway The nodes are equipped with chemical sensors that allow them to detect the relevant hazardous material, and deploy themselves throughout the building in such a way that they maximize the area covered by these sensors.

-t--

require 'drb' server = DRbObjectnew_with_uri("druby://127001:61676") hello = serversay_hello puts helloinspect

(2.5.44)

From (2.5.30) and using (2.5.35),

(2.5.45) (2.5.46)

Ti-l, and using (2.5.37),

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Data from the nodes are transmitted to a base station located safely outside the building, where they are assembled to form a live map showing the concentration of hazardous compounds within the building For the sensor network to be useful in this scenario, the location of each node must be determined In urban environments, accurate localization using GPS is generally not possible (due to occlusions or multipath effects), while landmark-based approaches require prior models of the environment that may be either unavailable (destroyed), incomplete or inaccurate This is particularly true in disaster scenarios, were the environment may have undergone recent (and unplanned) structural modi cations Therefore it is of interest to determine the location of network nodes using the nodes themselves as landmarks This particular technique, however, requires that nodes maintain line-of-sight relationships with one another.

(2.5.47a)

(2.5.47b)

[_tIITi=-1~2 ]

(2.5.48a)

This condition also enables establishment of line-of-sight communications links which operate with minimum energy consumption An additional demand is that nodes should deploy in such a way that they maximize the area covered by the network, while simultaneously ensuring that each node can be seen by at least one other node The concept of coverage as a paradigm for evaluating multi-robot [98 114] systems was introduced in Gage [93] Three basic types of coverage were de ned: blanket coverage, where the objective is to achieve a static arrangement of nodes that maximizes the total detection area; barrier coverage, where the objective is to minimize the probability of undetected penetration through the barrier; and sweep coverage, which is more or less equivalent to a moving barrier The problem of exploration and map-building by a single robot in an unknown environment has been considered by a number of authors [113 115].

2 Pi = I T i-111 Il r i-211 2

If we were to run this, we would see something like the following printed from the client:

(2.5.48b)

To summarize, the conjugate gradient algorithm for symmetric positive definite matrix is as follows:

(2.5.49) (2.5.50) (2.5.51) (2.5.52) (2.5.53) (2.5.54)

Tol1 Oil = -I t - -

The frontier-based approach described in References [113,114] proceeds by incrementally building a global occupancy map of the environment, which is then analyzed to nd the frontiers between free and unknown space The robot is directed to the nearest such frontier The network deployment algorithm described in Howard et al [98] shares a number of similarities with [113] It also builds a global occupancy grid of the environment and.

Tl = TO For i 2: 2,

2 Pi = I T i-111 IT 2 i-211 d i = Ti-l + Pidi-l IT 2 i-111

(2.5.55) (2.5.56) (2.5.57) (2.5.58) (2.5.59)

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