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Given the importance of knowing the location of a node in the network, a natural question is whether it would be feasible to determine the location before deployment If so, the location of the node can be preprogrammed into the node before deployment However, this will be unlikely in a majority of the cases Due to random deployment of the nodes in an ad hoc network, the location of each node cannot typically be predetermined Further, in case of sensor networks, sensors are typically quite light and hence could be easily displaced by various environmental factors such as wind or water Mobility of these nodes is also another important factor that has to be considered Thus, in many cases the location of the nodes would have to be determined after their deployment The objective of location determination, also called localization in the following, is to determine the location of one or more wireless devices based on measurements or on observations There have been many localization schemes proposed for wireless networks These schemes typically require methods adapted to the underlying technology allowable or being used in the network These schemes typically consist of two phases namely ranging and computation During the ranging phase, a node in the network gathers information related to its distances from one or more reference points in the network The location of the reference point is assumed to be known The computation phase then consists of the node taking the information gathered during the ranging phase and combining this information with other data such as the known locations of the reference points to compute its location This phase typically involves mathematical operations We next illustrate the above using an example Consider a network that uses radio frequency (RF) signals Consider two nodes A and B in such a network such that node B is the reference point Hence, the location of node B is known During the ranging phase, we nd the distance between these two nodes by determining the time taken by the RF signal (also called the time of ight) to traverse between them and multiplying this by the speed of the RF waves (speed of light) During the computation phase, we then try to estimate the location of node A using the information gathered during the ranging phase in addition to the locations of the reference point(s) such as node B above Unfortunately, in this case the information gathered during the ranging phase is not suf cient for us to achieve the objective of estimating the location of node A As a result the computation phase will be incomplete unless we have some additional information This additional information might be the angle between the two points or the distance of the point in question with two additional points with known locations We show this in Figure 71 by considering just the range information between nodes A and B as well as assuming that the angle of arrival of the signal from node B is known at node A.



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Total wage payments made to employees during the year The subset of wages paid that is subject to FUTA taxes Minus payments made to state unemployment funds

Internet Testing Internet delivery of tests is convenient and exible, and sometimes no special software or hardware is required Through a version of secure Internet testing, we were able to implement a relatively low cost university-based eld test program for the computerized examination This afforded us a mechanism for obtaining pretest data in a non-operational setting and created an invaluable





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There is no legal requirement for retaining payroll deduction information related to any types of garnishments However, a company should have a standard retention policy that retains this information for the same time period listed for wage information retention, since this information is a deduction from wages Also, if a lawsuit arises in which the records may be called into question, they should be retained for the duration of the lawsuit, even if this time period extends beyond that of the wage information retention policy Base-level information to retain should include the court order that garnishes the wages, a record of the periodic deductions from employee pay that met the requirements of the court order, any administrative fees charged, and a record of when garnishments were stopped Most of this information is probably contained within a company s standard wage records or can be reconstructed from them, so much of it is already addressed by recordkeeping policies for wage information Thus, the primary additional record to retain is the court order document

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When employees take leaves of absence, the Family and Medical Leave Act (FMLA) requires that the following records be kept, in addition to the basic wage information items noted earlier: The hours when leave was taken, if the leave was less than a day The days when leave was taken, if whole days were used The written leave notification signed by the employee Notes regarding any disputes with the employee over the leave designation Premium payments made for the benefits of employees who are on leave Please note that these recordkeeping requirements only apply to those businesses that fall under the jurisdiction of the FMLA, which is described in 14

Many states have laws requiring a business to pay them the amount of any wages that have not been claimed by employees after a certain period of time Under these laws, one must usually retain a record of an employee s name and last known address for whatever time period is specified by the relevant state The typical retention period is between five and ten years

opportunity to connect us to one of our most important stakeholder groups, newly graduating accounting students Feedback from the participants was very positive, and provided an unexpected source of support for the innovations in the new test It was possible to retain secure delivery of new test content outside of brick-and-mortar testing centers, at the convenience of the students, and on their own campuses There are many challenges in this area, such as speedy delivery of complex content via the Internet and through local area networks that only meet minimum requirements for hardware and software Internet testing is not a mature technology Despite the exibility of computer languages and platforms, we experienced signi cant dif culties when changes were made to the commercially available software to represent our test content and complex performances Server availability, delays caused by Internet traf c, and other variations in standard installations sometimes led to slow screen refresh rates, and even termination of the eld test event for a given student However, the technologists working in this area have made good progress Secure Internet testing is becoming a reality and we continue to rely on this important resource to maintain our testing program into the future Internet testing already provides splendid diagnostic and practice opportunities for assessment

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