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Active Directory makes it easy to develop and distribute applications. Application developers need consistent, open, and interoperable interfaces and APIs against which they can code functionality that stores and manages information relating to applications, processes, and services in a distributed information store. We want to be able to create applications and store application and persistent data to an invisible repository through an open interface. This information should be available from anywhere and everywhere on the network, including from an intranet or even the Internet (thanks to the .NET Framework). Developers want to be able to create methods that install an application into a directory on the network for initial con guration and manipulation over the lifetime or use of the application.
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Each part has a default config named Default. There is nothing special about this config; you can rename it and even delete it. There must always be at least one config in the tree, and you cannot delete the current configuration. If you would like to remove a config, then you need to switch to another config first, and then delete it. In relation to assembly configurations, you cannot delete a config if it is being used in an assembly that is open and resolved. In order to delete a config such as this, you need to either close the assembly or change the part config used in the assembly. If you try to delete a configuration being used by an open assembly, SolidWorks simply gives the message None of the selected entities could be deleted without explanation.
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#!/bin/sh # dis_srv: disable service run through inetd if [ $# = 0 ]; then echo name of service> \c read SRV else SRV=$1 fi /usr/local/bin/perl -i -p -e s/^$SRV/#$SRV/ig /etc/inetd.conf pkill -HUP inetd
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where L is the parasitic inductance of the capacitor. The current rise from the generator used for this example was not a ramp with very sharp corners and constant slope. The characteristics of the generator combined with probe effects led to a peaked shape to the L di/dt spike, as shown in Figure A.22. Using Eq. (A.2), the inductance of the capacitor can be calculated. Often, one does not need to calculate ESL or ESR but simply needs to choose a capacitor from those available that has the lowest inductance and/or ESR possible. Soldering the components onto a BNC connector (Figure A.21) works up to 300 MHz. The inductive reactance of the loop formed by the capacitor and resistor will be approximately 20 at 300 MHz (estimating inductance at 10 nH). This is small enough relative to the 100 of resistance in the circuit to not significantly affect the initial current by any degree of magnitude. This test setup is optimal for signals with a 1 2-ns edge transition. If you need to check the capacitor using faster rise times, it is best to build the test setup on a small circuit board with a ground plane and controlled impedances. At this point, the parasitic capacitance of the 50- resistor would also be an issue to be taken into account. Fortunately, such accuracy is often not needed. This is especially true if one is just comparing the relative performance of several capacitors. Data Analysis (Actual Test Results). Figure A.23 shows a sample rise from a test generator. The black square indicates vertical voltage and horizontal time scales. The open-circuit voltage is a little over 4 V with approximately 5-ns-rise-time transition. Figures A.24 A.26 show data obtained from several leaded capacitors (as opposed to surface mount). Two trace measurements were taken of each capacitor. The lower trace was measured at the capacitor body where the leads entered the capacitor. The upper trace includes the minimum amount of lead length to connect the capacitor to a PCB. The upper trace would not be needed for modern surface-mount
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[Pah85a] K. Pahlavan, Comparison between the performance of QPSK, SQPSK, QPR, and SQPR systems over microwave LOS channels, IEEE Trans. Commun., COM-33, 291 296 (1985). [Pah85b] K. Pahlavan, Wireless communications for of ce information networks, IEEE Commun. Mag., 23(6), 19 27 (1985). [Pah87] K. Pahlavan, Spread spectrum for wireless local networks, Proc. IEEE PCCC, Phoenix, AZ, 1987, pp. 215 219. [Pah88b] K. Pahlavan, Signal processing in telecommunications, 22 in C. H. Chen (ed.), Handbook of Signal Processing, Marcel Dekker, New York, 1988. [Pah88c] K. Pahlavan and J. L. Holsinger, Voice-band data communication modems: a historical review, 1919 1988, IEEE Commun. Mag., 26(1), 16 27 (1988). [Pah89] K. Pahlavan, R. Ganesh, and T. Hotaling, Multipath propagation measurements on manufacturing oors at 910 MHz, IEE Electr. Lett., 25, 225 227 (1989). [Pah90a] K. Pahlavan and M. Chase, Spread-spectrum multiple-access performance of orthogonal codes for indoor radio communications, IEEE Trans. Commun., COM-38, 574 577 (1990). [Pah90b] K. Pahlavan and S. J. Howard, Statistical AR models for the frequency selective indoor radio channels, IEE Electr. Lett., 26, 1133 1135 (1990). [Pah90c] K. Pahlavan and J. W. Matthews, Performance of adaptive matched lter receivers over fading multipath channels, IEEE Trans. Commun., COM-38, 2106 2113 (1990). [Pah93] K. Pahlavan, S. J. Howard, and T. A. Sexton, Decision feedback equalization of the indoor radio channel, IEEE Trans. Commun., COM-41, 164 170 (1993). [Pah91] K. Pahlavan, Nonlinear quantization and multi-level/phase modulation and coding, IEEE Trans. Commun., (1991). [Pah95] K. Pahlavan and A. Levesque, Wireless Information Networks, Wiley, New York, 1995. [Pah98] K. Pahlavan, P. Krishnamurthy, and J. Beneat, Wideband radio channel modeling for indoor geolocation applications, IEEE Commun. Mag., 36(4), 60 65 (1998). [Pah00] K. Pahlavan, P. Krishnamurthy, A. Hatami, M. Ylianttila, J. M kel , R. Pichna, and a a J. Vallstr m, Handoff in hybrid mobile data networks (invited paper), IEEE Pers. Commun. o Mag., 7(2), 34 47 (2000). [Pah02a] K. Pahlavan and P. Krishnamurthy, Principles of Wireless Networks: A Uni ed Approach, Prentice Hall, Upper Saddle River, NJ, 2002. [Pah02b] K. Pahlavan, X. Li, and J.-P. M kel , Indoor geolocation science and technology, a a IEEE Commun. Mag., 40(2), 112 118 (2002). [Pal91] M. Pallas and G. Jourdain, Active high resolution time delay estimation for large BT signals, IEEE Trans. Signal Process., SP-39(4), 781 788 (1991). [Pan02] A. Pandharipande, Principles of OFDM, IEEE Potentials, Apr./May 2002, pp. 16 19. [Par89] J. D. Parsons and J. G. Gardiner, Mobile Communication Systems, Blackie, Glasgow, 1989. [Pas79] S. Pasupathy, Minimum shift keying: a spectrally ef cient modulation, IEEE Commun. Mag., 17(4), 14 22 (1979). [Pet72] W. W. Peterson and E. J. Weldon, Jr., Error-Correcting Codes, 2nd ed., MIT Press, Cambridge, MA, 1972. [Pot00] G. J. Pottie and W. J. Kaiser, Wirelesss integrated network sensors, Commun. ACM, 43(5), 51 58 (2000). [Pra88] R. Prasad and J. Arnbak, Enhanced throughput in packet radio channels with shadowing, IEE Electr. Lett., 24, 986 988 (1988). [Pra02] G. S. Prabhu and P. M. Shankar, Simulation of at fading using MATLAB for classroom instruction, IEEE Trans. Educ., 45(1), 19 25 (2002).
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Microsoft SQL Server data mirroring: Data mirroring, new in SQL 2005, will mirror a database between two servers. It requires a third SQL Server (called a witness) that will determine when the source server goes offline, and will failover clients to the destination server. Data mirroring uses continuous log shipping under the covers. It works well for mid-size databases under medium load. Clustering: Clustering involves specialized hardware and requires different versions of the OS. Clustering involves sharing a database, SQL Server, or resource between nodes. Clients connect to a virtualized SQL Server, which will connect to an underlying node to access the shared resource. If a resource fails, the virtualized SQL Server/resource will be migrated to the failover node, with little impact on the clients. Clustering is not a data distribution technology, but rather a fault-tolerant solution designed to minimize downtime or provide high availability. Clustering should be used for fault tolerance over replication; it distributes an entire SQL server. Software data mirroring: These products install a file system driver that interrupts file activity and replicates this activity to a destination server. These host-based products consume RAM and CPU on the host (source server). They offer similar functionality to hardware data mirroring but they don t offer the same performance (although they come close). An example of a software data mirroring provider is Double-Take. Hardware data mirroring: Hardware data mirroring, offered as hardware products by vendors such as Hitachi Data Systems, EMC, or Veritas, replicate changes that happen on the byte level from one disk array to another array. These solutions make heavy use of caching and tend to be very expensive and complex, but they are required when the cost of downtime is significant. The preceding list is ordered according to level of granularity. For instance, the first three alternatives distribute data at the transaction level. DTS and replication are performed on an article or table level. Log shipping and data mirroring are performed on a database level. Clustering, and hardware and software data mirroring, mirror servers or disk arrays. These solutions are also ordered according to required skill set for the DBA and expense, although the expense of programming distributed transactions can be considerable.
User Equipment User Equipment Domain User Equipment in-band IDenti cation Universal Mobile Telecommunications System Uplink Common Packet CHannel User Service Identity Module UMTS Terrestrial Radio Access UMTS Terrestrial Radio Access Network Wideband CDMA
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Whether you choose to adjust the properties from Management Studio s graphical tool or from code is completely up to you, but not every property is available from Management Studio using the graphical interface or queries. While the graphical interface has the advantages of being easy to use and walks you through easy to understand dialogs that prompt for the possible options in a pick and choose format, it lacks the repeatability of a T-SQL script run as a query.
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