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    Results Properties of social networks Mean network size was 80.67 (SD = 39.84‚ Mdn = 75)‚ with a range of 10–279 (Figure 1). The shape of the distribution is similar to that found in other studies of social networks (Bernard et al.‚ 1990; Hill & Dunbar‚ 2003). The size of the kin and friend networks is given in Table 1. Multilevel models The results of the two models are presented Table 2. The intraclass correlations (ICCx) of the models were 0.18 for Model 1 and 0.24 for Model 2

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    Artificial Neural Networks

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    PAPER ON ARTIFICIAL NEURAL NETWORKS ABSTRACT The developments in Artificial Intelligence (AI) appear promising‚ but when applied to real world intelligent task such as in speech‚ vision and natural language processing‚ the AI techniques show their inadequacies and ‘brittleness’ in the sense that they become highly task specific. The computing models inspired by biological neural networks can provide new directions to solve problems arising in natural tasks.

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    Wireless Sensor Network

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    & Filters‚ Impedance * GPS * Touch Screen * Ultrasonic * Access Control * Intelligent Transport System * Sensors Network - Wireless Sensors Network * Automation and Control * Automotive * Energy Management * Power Systems * Consumer Electronics * Industrial Electronics * Encryption and Decryption * CAN / DAS / DCS / PLC / SCADA * Artificial Intelligence / Fuzzy Logic / Neural Networks * IVRS / SMS * Instrumentation * Level & Analytical Instrumentation * Measurement and Control System * Process Control

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    to Network Management Phase 3 Discussion Board Professor Shawn Murray April 25‚ 2012 In comparing Osi models to non-Osi models I chose to discuss the FCAPS model. The acronym FCAPS stands for the five layers it is comprised of; 1. Fault management- network faults or problems are found and fixed. Potential problems are identified and addressed thus preventing them from reoccurring in the future. This minimizes downtime and potential costs. 2. Configuration management- The network is controlled

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    Pajek and Social Networks

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    Pajek Program for Analysis and Visualization of Large Networks Reference Manual List of commands with short explanation version 2.00 Vladimir Batagelj and Andrej Mrvar Ljubljana‚ September 26‚ 2010 c 1996‚ 2010 V. Batagelj‚ A. Mrvar. Free for noncommercial use. PdfLaTex version October 1‚ 2003 Vladimir Batagelj Department of Mathematics‚ FMF University of Ljubljana‚ Slovenia http://vlado.fmf.uni-lj.si/ vladimir.batagelj@fmf.uni-lj.si Andrej Mrvar Faculty of Social Sciences University

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    GSM -> Architecture Architecture of the GSM network MobileStation BaseStationSubsystem Network Subsystem Following is the simple architecture diagram of GSM Network. [pic] A GSM network is composed of several functional entities‚ whose functions and interfaces are defined. Figure 1 shows the layout of a generic GSM network.  The GSM network can be divided into three broad parts. The Mobile Station is carried by the subscriber‚ the Base Station Subsystem controls

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    1976 Movie Network

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    The 1976 film‚ “Network” beautifully illustrates the connections between society and the media that we choose to consume. The film is centered around the fictional television network UBS (short for Union Broadcasting System’s). It details the fall‚ rise‚ and fall of a long-term anchor of the network; all while showing the audience the inner-workings of a major media conglomerate. We see executives choose profit over morals and human decency‚ as well as‚ the mental stress that individuals in the entertainment

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    Body Area Networks

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    Body Area Networks ∗ Arif Onder ISIKMAN∗ ‚ Loris Cazalon† ‚ Feiquan Chen‡ ‚ Peng Li§ Email: isikman@student.chalmers.se‚ † Email: loris.cazalon@telecom-bretagne.eu‚ ‡ Email: feiquan@student.chalmers.se‚ § Email: lpeng@student.chalmers.se Chalmers University of Technology‚ SE-412 96‚ Gothenburg‚ Sweden Abstract—Recent technologies in electronics allow to build wireless sensor networks in on or around the human body. Body Area Networks (BAN‚ is also called Body Sensor Networks) is not only used

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    Virtual Private Network

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    “virtual” network that is kept private by “tunneling” private data through the underlying infrastructure of a public Internet. VPN technology provides a way of using public network infrastructures‚ such as the Internet‚ to provide private‚ secure access to applications and company resources to employees in remote or home offices‚ to business partners‚ and even to customers. A VPN is one or more WAN links over a shared public network‚ typically over the Internet or an IP backbone from a Network Service

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    COMPUTER NETWORKS 4TH MARCH 2012 Examination Paper Answer ALL questions. Clearly cross out surplus answers. Time: 2 hours Any reference material brought into the examination room must be handed to the invigilator before the start of the examination. ANSWER ALL QUESTIONS Marks QUESTION 1 a) State FOUR (4) principles underpinning the Open Systems Interconnection (OSI) Reference Model. b) Describe the purpose of the physical layer of the OSI Reference Model. c) State THREE (3) elements

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