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Trading tactics, or timing, determines specific entry and exit points. Timing is especially crucial in futures trading. Because of the low margin requirements and the resulting high leverage, there isn t much room for error. It s quite possible to be correct on the direction of the market, but still lose money on a trade if the timing is off. Timing is almost entirely technical in nature. Therefore, even if the trader is fundamentally oriented, technical tools must be employed at this point to determine specific entry and exit points. The simplest way to summarize the three different elements is that price forecasting tells the trader what to do (buy or sell), trading tactics or timing helps decide when to do it, and money management determines how much to commit to the trade. The techniques discussed in this chapter really have to do with the element of timing your entry and exit points and using different methods to capitalize on price direction.

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The watchdog packet overhears the responses of the neighboring beacon nodes It then determines its location using the reported location of each BN in turn, and then it compares the value against its true location If the difference is within a certain margin of error, then the corresponding BN is considered benign, and its reputation increases If the difference is greater than the margin of error, then that BN is considered malicious and its reputation is decreased From a sensor node perspective, there is no rsthand information gathered by sensor nodes through direct observations They rely completely on the second-hand information passed to them from nearby beacon nodes during the location request stage..

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While some performance loss may result in separating source and channel coding to the point of data fusion among this group, beyond this the problem reduces to a pure network coding (or routing) problem, with no further consideration of source coding Furthermore, in the limit of very strong decay of signals with distance, the relative SNRs of the best and next best sensor will in likelihood be quite large so that even optimal fusion buys little performance gain, allowing separation of source and channel coding even at the local level This suggests a two-scale design approach: For local regions, a solution speci c to the underlying physical model is devised, which may involve some combined source coding/routing/channel coding scheme, while for long-range transport only communications considerations apply The corresponding optimization problem can be conceived of as a two-step process.

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DRBTS also includes a method by which BNs can send out location requests disguised as SNs, in case of low network activity. However, unlike CONFIDANT, DRBTS does not differentiate rst-hand information into personal experience and direct observation. Information Sharing. DRBTS does make use of second-hand information to update the reputation of its neighboring nodes. However, information sharing is only with respect to BNs. SNs do not share any information since they do not collect any by virtue of their own observation of their neighborhood. In DRBTS, nodes are allowed to share both positive and negative reputation information. This is allowed to ensure a quick learning time. Information Modeling. Let BN j respond to a SN s request. Then BN i, in the range of j updates its reputation entry of j using the direct observation as follows. RNew = 1 RCurrent + (1 1 ) ki ki (13.5)

The rst step is the selection of a cost function that will control the set of nodes that will be locally cooperating, given a cooperation protocol One may then select the cooperation protocol from a set of candidates For a signi cant set of practical scenarios.

where = 1 if the location was deemed to be truthful and = 0 otherwise, and 1 is a weight factor. To use second-hand information, assume Bj is reporting about BN k to BN i. Now BN i rst performs a deviation test to check if the information provided by BN j is compatible. |RCurrent RCurrent | d ji ki (13.6)

the number of nodes involved and their time of involvement are the most important resource questions For example, in short-range radio communications, power is consumed simply from the fact of a radio being on, with transmission power being a secondary issue The power and bandwidth requirements linearly depend upon their duty cycle Similarly, the time spent processing is related to the amount of data being collected, again a function of the duty cycle of involvement The amount of processing (or communications) required is often an exponential function of the number of nodes involved, again suggesting that minimization of the number of nodes involved (while meeting the delity constraint) is a primary consideration This type of cost function also leads to a reasonable set of optimization problems, as follows.

java ean 13 reader

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java ean 13 reader

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