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To make it possible for the algorithm to work a grid of beacon nodes must be previously created so that all nodes have at least three beacon nodes in their communication range. This infrastructure can be considered as a disadvantage of the system, but Cricket is very accurate and able to work in indoor scenarios. 11.4.7 Comments About the Localization Algorithm The localization algorithm is the main component of a localization system. This component de nes how the available information that is provided by the beacon nodes, by the distances estimations, and by the position computations will be manipulated in order to allow the localization information to expand from the beacon nodes to the nodes of the sensor network. As previously mentioned, the localization systems, especially the ones with multihop, had been extensively studied with the advent of the WSN. This way, a number of other localization algorithms have recently been proposed that focus on different aspects like errors, number of beacons, number of settled nodes, or GPS usage,. 39 Extended In VS .NET Using Barcode drawer for .Related: Print Codabar .NET , .NET ITF-14 Generator , Interleaved 2 of 5 Generator .NET

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The collected stellar radiation is transferred by the telescope optics to the polarimetric modulator As a result, the initial polarization may be altered before it is measured by the instrument attached at the telescope s focus The most common spurious effect is that any collected unpolarized light becomes weakly polarized The amount of polarization introduced is referred to as the instrumental polarization There may be additional sources contributing to the instrumental polarization other than the telescope mirrors It is usual practice in any observing programme to investigate the instrumental polarization by making measurements of unpolarized standard stars The mean values of the NSPs for these measurements may be represented by q I and u I , and the position of the instrumental polarization can be plotted in a normalized Stokes vector diagram For measurement of other stars, the reduction procedure involves shifting the origin, O, of the measurements to that of the instrumental polarization position, O0 (see igure 55) This is best done by subtracting the offset, q I , u I , from the q, u values of the program stars The process corresponds to a vector subtraction of the instrumental offset by the inversion of the principle of the Additivity Theorem for Small Polarizations (see Section 45) If the source of instrumental polarization is identi able as occurring in the telescope fore-optics, and can be expressed as a Mueller matrix, a more accurate reduction would involve an inversion procedure to obtain revised values according to the elements of this matrix In the simplest case, the matrix would be that of a weak polarizer; in some cases, there may also be a small phase change introduced by the optics and this would need to be incorporated into the matrix (see further discussion in 7) It is also possible that the telescope optics effect a depolarization to any collected polarized light (see Section 74), this being a true reduction of a degree of polarization and not simply a linear-to-circular conversion Depolarization is a dif cult parameter to investigate, the best that can be done is to inter-compare results taken by different instrumental setups If its effects on all the Stokes parameters are known, and are expressible in the form of a Mueller matrix, in principle, any.

A HashTable is a form of Dictionary, derived from the DictionaryBase class Dictionary collections store pairs of objects, usually referred to as Key and Value pairs In the same way that a real-world dictionary provides us with a way to associate pairs of items (a word and its de nition or translation), so a Dictionary collection allows us to associate pairs of objects Normally, the Key object is a value that would be looked up (like looking up a word in the Oxford English Dictionary) and the Value object is the object that is returned from the look-up In this way, we can build complex structures that allow us to collect pairs of objects, where one is used as a way of accessing the other Typically, the Key of an entry in a Dictionary collection is a string that uniquely identi es the Value object; for example we could use a person s social security number as the key to an object containing other data referring to the person, or a licence number as the key to an object containing a lot of data about a speci c car A HashTable gets its name from the way data is stored and retrieved in it A hashing function, or hash function, is a function that takes some data, jumbles it up and converts it into a number that is seemingly random This type of function, fairly useless on its own, is ideal for distributing a lot of key values evenly across a numeric range To see why this is useful, consider the job done by a local post of ce sorting of ce Mail is arranged into bins, where each bin contains mail for a particular area Since the actual areas (normally a postman s walk ) can be selected by the post of ce, they are organized so that each area (and bin) will be approximately the same size, and will therefore receive a similar amount of mail This is organizationally sensible Now consider a situation where we cannot predetermine how items would be distributed Organizing items into bins by the initial letter of someone s urname, for example, would be more haphazard We call the property or piece of data that we use to identify an item its key and although the aim is to have an even distribution of keys, this is unlikely for real-world data We would not divide the population of a country into 26 groups, where each group is of people with the same initial letter to their surname, and expect each group to be the same size If we used the initial letter of a surname, for example, we would have 26 bins, one for each letter A to Z (see Figure 64) However, each bin would not be likely to have to accommodate a similar amount of mail In the UK, names beginning with certain letters are quite unlikely (X and Z for example) These two bins would be nearly.

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