Automatic Frequency Planning and Optimization Algorithm for Cellular Networks Muhammad Umair‚ Waleed Bin Shahid‚ Masab Javed Abbasi‚ Department of Electrical Engineering Royal Institute of Technology (KTH) SE100-44 Stockholm‚ SWEDEN E-mail: mumair@kth.se‚ waleed.shahid@mcs.edu.pk ‚ masab.abbasi-pc@telenor.com.pk Abstract— Frequency planning in ever growing cellular networks is an extremely arduous task. Any effort to lay down manual frequency plans promulgates inefficiency in the cellular
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UNIT 5 ASSIGNMENT 1 EIGRP versus OSPF Jason Houlden Table of a side by side comparison: EIGRP OSPF EIGRP forms adjacencies and exchanges routing updates with neighbors OSPF forms adjacencies with DR/BDROSPF can be more efficient than EIGRP for large meshed networks EIGRP uses metric based on bandwidth and delay OSPF uses interface cost (inversely proportional to bandwidth)EIGRP may provide more flexibility in selecting best path EIGRP by default limits usage to at most 50% of link bandwidth in worst
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Network Architecture to Identify Spatial Knowledge for Epidemic (An application of datamining) Abstract: Recent developments in information technology have enabled collection and processing of vast amounts of personal data‚ business data and spatial data. It has been widely recognized that spatial data analysis capabilities have not kept up with the need for analyzing the increasingly large volumes of geographic data of various themes that are currently being collected and
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Image registration methods: a survey Barbara Zitová‚ ‚ Jan Flusser Department of Image Processing‚ Institute of Information Theory and Automation‚ Academy of Sciences of the Czech Republic Pod vodárenskou věžı́ 4‚ 182 08 Prague 8‚ Czech Republic http://dx.doi.org/10.1016/S0262-8856(03)00137-9‚ How to Cite or Link Using DOI Abstract This paper aims to present a review of recent as well as classic image registration methods. Image registration is the process of overlaying images (two or
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correctly describes the collision domain design trade-offs? 4. When setting a local Cisco switchport to initiate the negotiation of a trunk link with the remote switch‚ the administrative mode is referred to as ________? 5. Which component of IPv6 neighbor discovery replaces the capabilities of ARP? 6. Which type of UTP cabling is required to connect to hosts back-to-back? 7. Which type of ICMP message will be returned to host by a remote router if that router does not have a route to a network? 8
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Predictive-Corrective Incompressible SPH B. Solenthaler ∗ University of Zurich R. Pajarola † University of Zurich Figure 1: Three examples produced with our incompressible simulation: (Left) 2M particles splashing against the simulation boundaries. (Center) Close-up view of a wave tank. (Right) A fluid represented by 700k particles colliding with cylinder obstacles. Abstract We present a novel‚ incompressible fluid simulation method based on the Lagrangian Smoothed Particle Hydrodynamics (SPH)
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Chapter 16 Cluster Analysis Identifying groups of individuals or objects that are similar to each other but different from individuals in other groups can be intellectually satisfying‚ profitable‚ or sometimes both. Using your customer base‚ you may be able to form clusters of customers who have similar buying habits or demographics. You can take advantage of these similarities to target offers to subgroups that are most likely to be receptive to them. Based on scores on psychological inventories
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POWER ALLOCATION FOR THE NETWORK CODED COGNITIVE COOPERATIVE NETWORK by Major Awal Uddin Ahmed (ID: 1003) Major Md Shariful Islam(ID: 1004) Major K M Hasnut Zamil (ID: 1006) A Project Report submitted to the department of Electrical Electronic and Communication Engineering in partial fulfillment of the requirements for the degree of Bachelor of Engineering in Electrical Electronic and Communication Engineering Advisor: M. Shamim Kaiser Military Institute of Science and Technology Mirpur Cantonment
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Melanin: ItsRole in Human Photoprotection [13]. Cover‚ T. and Thomas‚ J. (1991) Elements of Information Theory. Wiley: New York. [14]. Phillips‚ P.J.‚ Moon‚ H.‚ Rizvi‚ S.A.‚ and Rauss‚ P.J. (2000) The FERET evaluation methodology for face-recognition algorithms [18]. Viveros‚ R.‚ Balasubramanian‚ K.‚ and Balakrishnan‚ N. (1984) Binomial and negative binomial analogues under correlated Bernoulli trials Proced dings of ICPR‚ International Conference on Pattern Recognition Vol. II (2000) 805-808 [20]. S.
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SOFT COMPUTING social sciences behavioral sciences the humanities economics law medicine include quantitative Human sciences methods are methods are often used separately qualitative that means numerical data precise objects conventional logic complicated mathematics computer models that means non-numerical data imprecise objects approximate reasoning interpretation manual work 2 Traditional Approaches to Computerized Modeling • Mathematical
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