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Despite the nal error of this method, which is greater than that of trilateration, a smaller amount of processor resources is used compute the intersection of squares than to compute the intersection of circles. 11.3.5 Central Position in Relation to the Reference Nodes By the assumption that the most probable position of a node is the central point among all the reference nodes, we can compute the position of an unknown node without the need of estimating distances or angles, but only by using the communication range, as explained in Section 11.2.4.

c {1,... ,N}

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This low reading generally occurs when the market is at a high and is accepted as a sell signal Moreover, if the stock market is rising, the more confident investors are convinced that the trend will never end This condition is when the market is most vulnerable to a downturn or correction Historically, readings below 20 are considered a red flag or a warning signal to bulls, especially when the markets are in a rallying mode Simply put, a low VIX reading means that sellers of options prevail and are aggressive and confident that the market will most likely not move Buyers are not interested in acquiring puts for protection against their core cash positions, causing a decline in demand for options In essence, the VIX acts like a contrarian indicator.

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In this case, the position of a node is computed by using the following equation [32]: ( , y) = x

Wab (t) = max[Ua ab (c (t))

(11.9)

(c (t))

where n is the number of reference nodes This method is the most simple in terms of computational resources and required information Only 2n + 2 oat point operations (where n is the number of reference nodes) are required to compute a position On the other hand, the obtained solutions are not accurate, mainly when the number of reference nodes is low 1136 Comments About the Position Computation In previous subsections, we showed a number of methods that can be used to compute the position of an unknown node based on the gathered information of positions and distances to the reference nodes A number of other methods exist that aim to compute the position of a node.

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When there is a consensus that the market won t move or that volatility will remain low, a believer in contrarian theory would conclude that the opposite would be true This observation brings up an important point: A rise in volatility could be from price increases as well as decreases This point is important because a low VIX reading does not always signal that prices will drop; prices could rally and increase the volatility level When prices of the stock market were at extreme lows, the VIX was as high as 45 and even reached an intraday high of 56 in July 2002 Based on VIX theory, as the markets declined, the volatility increased as did the fear in the market This high reading was construed as a buy signal, indicating that the downturn was nearly complete.

Location Fingerprinting is a method where the signal characteristics obtained from a set of locations are cataloged, and then the position computation of a node now consists in comparing its signal characteristics with the ones that were previously cataloged This technique is used by Bahl and Padmanabhan [44] and others indoors localization systems, but the need for generating a signal signature database makes this technique unfeasible for the most scenarios of the WSNs Some works use a variant of the trilateration that uses only two reference nodes In this case, two possible solutions, which is the intersection of two circles, result from the system The choice between these two possible positions is made by using extra multihop information or even the direction of the localization recursion, as done by Oliveira and co-workers [11, 12] In the APIT algorithm, He et al.

(t), 0]

[32] use triangles formed by three beacon nodes, and a node decides if it is inside or outside these triangles by comparing its signal strength measurements with the measurements of its neighbors The position of the node is computed by nding the centroid of the intersection of the beacon triangles that the node is inside Other works concentrate all information of distances among the nodes into a central node and uses mathematical optimization techniques to compute the positions of the nodes As examples, we have (a) the work of Doherty et al [5], which formulated the localization problem as a convex optimization problem based only in connectivity-induced constraints and used semide nite program (SDP) to solve the problem, and (b) the work of Shang et al [7, 45] that used multidimensional scale (MDS) The choice of what method to use can also impact the nal performance of the localization system.

a,b ab (P, S(t))Wab (t)

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java pdf 417 reader

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java pdf 417 reader

java pdf 417 reader

java pdf 417 reader

java pdf 417 reader

java pdf 417 reader

java pdf 417 reader

java pdf 417 reader

java pdf 417 reader

java pdf 417 reader

java pdf 417 reader

java pdf 417 reader

java pdf 417 reader

java pdf 417 reader