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In the same way that category.php and tag.php serve up archive types, date.php does the same thing. It serves up any date-based archive type, including yearly archives, monthly archives, or day-specific archives. This template is used whenever any of the $wp_query properties is_ date, is_month, is_year, or is_day is set to true. If no date.php exists, archive.php handles the workload.
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One compelling feature is the way Microsoft licenses SQL Everywhere. SQL Everywhere can be freely distributed to devices running any of the supported operating systems just mentioned; however, you must purchase SQL Server licensing to leverage remote data access (RDA), merge replication, or to make any other connection to SQL Server from SQL Everywhere. For specifics on SQL Everywhere licensing, see SQL Everywhere s main purpose is to provide a local, on-device database that can serve as either the primary data repository for a mobile application or as an off-line data cache in scenarios where data is being pulled from a server, created/modified on the device, and then pushed back to the server. SQL Everywhere can be integrated into .NET Compact Framework Smart-Device projects using Visual Studio 2005, and offers OLEDBCE support for native applications developed using Visual C++ for Devices within Visual Studio 2005. The major architectural components of SQL Everywhere are shown in Figure 26-1.
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The order of the equations is important. SolidWorks solves the equations in the order in which they are listed in the Equations dialog box. Because the gap is dependent on the spacing, the spacing must be calculated before the gap. If it is done the other way around, you can get into a situation where it takes two rebuilds to finalize a set of equations, or even a situation where in every rebuild, all of the numbers change. This is called a circular relation, and is a common error in order or history dependent functions, not just in SolidWorks, but in many CAD applications. Figure 9.5 shows the resulting set of equations.
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To further investigate a problem, check the SQL Server log. In Management Studio, the log can be viewed under Management SQL Server Logs. SQL Server writes errors and events to an error log file in the \error directory under the MSSQL directory. SQL Server creates a new file every time the server is started. The six previous versions of the file are saved in the same directory. Some errors may also be written to the Windows Application Event Log.
With this configuration the Ubuntu server must also be able to accept email messages from remote email servers. The server can accept email messages for just users on the local server or for users on an entire domain, such as a corporate network. To accept mail messages from remote servers, the Ubuntu server must be listed as a mail provider server in the DNS records using the MX record (again, see 20). The MX record determines whether mail for just the server or for the entire domain is forwarded to the Ubuntu server s address. Remote email servers use this information to decide when to send messages to your Ubuntu server.
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base stations was then investigated, in both non-shadowed and shadowed environments for high data rate users. This work was then extended by the applicationof adaptive modulation techniques, in conjunction with adaptive antenna arrays. The network capacity in terms of the number of users supported was 256 when experiencing no log-normal shadow fading and using no adaptive antenna arrays. However, with the application of two element adaptive antenna arrays the network capacity increased by 27% to 325 users, and when upgrading the system to four element arrays, the capacity of the network increasedby a further 47% to 480 users. When subjected to log-normal shadow fading having a standard deviation 3 dBin conjunction with a maximum fading frequency of of 0.5 Hz, the network capacity without adaptive antennaswas reduced to about 150 users. Again, invoking adaptive antenna arrays at the base stations increased the network capacity to 203 users, and 349 users, when employing two and four array elements, respectively. We then applied independentup- and down-link beamforming. This implied determining separately the optimum weights for both the up- and the down-link, rather than re-using the antenna array weights calculated for the uplink scenario in the downlink. This measure led to further network capacity gains. Specifically, employing independent up- and down-link beamforming resulted in 15% and 7% network capacity increases, for thetwo and four element arrays, respectively, giving total network capacities of 349 and 375 users. Increasing the maximumshadow fading frequency from Hz to 1.0 Hz slightly reduced the maximum 0.5 number of users supportedby the network, resulting a network capacity 144 users within of out beamforming, and capacities of 201 and 333 users, when invoking two and four element arrays, respectively. These absolute network capacity increases corresponded to relative network capacity gainsof 40% and 13 %, respectively. Again, performing independent and 1 updown-link beamforming increased the network capacities, with 225 and 365 users supported by the two and four element adaptive antenna arrays, respectively. Hence, these results show that applying both two and four element adaptive antenna arrays have led to significant network capacity increases both with and without log-normal shadow fading. Furthermore, the capacity of the network was found to be reduced by approximately 40%, when subjected to log-normal shadow fading having a standard deviation of 3 dB. However, increasing the maximum log-normal fading frequency from0.5 Hz to 1.O Hz had little impact on the total network capacity. These results were then extended by applying adaptive modulation techniques, with both and without adaptive antenna arrays, which were performing independent up- and down-link beamforming in conjunction with log-normal shadow fading having a standard deviationof 3 dB as well as maximum fading frequencies 0.5 Hz and 1.O Hz. Without adaptive antenna of arrays the network supported 223 users, at a mean uplink modem throughput of 2.86 BPS. The mean throughput of the downlink was 2.95 BPS. Upon increasing the maximum shadowing frequency from Hz to 1 .0 the network capacity fell slightly 2 18 users, whilst 0.5 Hz to the mean modem throughputs remained essentially unchanged. However, invoking two element adaptive antenna arrays enhanced the network capacities 64% upon encountering by 0.5 Hz shadow fading, and by 56% when subjected to 1.0 Hz shadowing. In both cases the mean modem throughput dropped by approximately 0.3 BPS. A further 0.2 BPS reduction of the mean modem throughput occurred when applying four element adaptive antennaarrays. However, this allowedan extra 30% of users to be supported when subjected toshadow fading fluctuating at a maximum frequency of 0.5 Hz and 35% in conjunction with 1.0 Hz frequency shadowing. Therefore, these results have shown the significant network capacity
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