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    Wireless Sensor Network

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    WIRELESS SENSOR NETWORK (Reshma Bhat‚ 3rd sem‚EC) Abstract A Wireless Sensor network (WSN) consists of spatially distributed autonomous sensors to cooperatively monitor physical or environmental conditions‚ such as temperature‚ sound‚ vibration‚ pressure‚ motion or pollutants. The development of wireless sensor networks was motivated by military applications such as battlefield surveillance and are now used in many industrial and civilian application areas‚ including industrial

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    Heat Exchanger Network

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    Heat Exchanger Network Design for the Cumene Process | C.A.K.E. Because We’re Just that Delicious Iowa State University Ames IA‚ 50010 | Crego‚ Courtney LHines‚ KirkMonterrubio‚ AmyToohey‚ Erin | Abstract Often a major consideration of a chemical process plant is the high cost of utilities used for heating and cooling of process streams. Heat integration of process streams is an effective way to reduce the cost of these utilities‚ and this process is often referred to as a MUMNE (minimum

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    Wireless Mesh Network

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    TOWARDS A BRIGHTER FUTURE FINAL YEAR PROJECT PROPOSAL FACULTY : ENGINEERING DEPARTMENT : ELECTRICAL AND ELECTRONICS ENGINEERING OPTION : ELECTRONICS AND TELECOMMUNICATION ENGINEERING PROJECT TITTLE : Design of a mesh network for full Wi-Fi coverage in 3D CASE STUDY : KIST master plan PROJECT NO ETE / 5FT / 11 / 02 SUBMITTED BY : REBE Roselyne MUCYO AUNALI Aswif NGANJORY MANZI Patrick GS20070527 GS20070257 GS20070756 Phone

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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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    Network Design Report

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    IT220 COURSE PROJECT You and your fellow team members are employees of a consulting firm called “Network Solutions”. Your firm’s responsibilities include determining the following: • What type of network would best suit each particular customer (e.g.‚ peer-to-peer or client/server)? • Does the customer need a LAN and/or a WAN? • What type of network topology will best suit the customer? • Which cabling media will meet the customer’s needs now and in the near future? • Brands of hardware

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    Worldwide Network Security

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    MARKET ANALYSIS Worldwide Network Security 2012–2016 Forecast and 2011 Vendor Shares John Grady IDC OPINION The worldwide network security market grew by 6.1% in 2011. The total market‚ which includes firewall‚ unified threat management (UTM)‚ intrusion detection and prevention (IDP)‚ and virtual private network (VPN) solutions‚ reached $7.4 billion in 2011. UTM revenue saw the strongest growth at 17.4% and reached $2.2 billion. The IDP market saw more moderate growth at 4.5%‚ reaching $1.9

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    Network Planning and Design

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    NETWORK PLANNING AND DESIGN by Richard Van Slyke Polytechnic University rvslyke@poly.edu © R. Van Slyke 2000‚2001 Revised 1/21/01 Network Planning and Design Rev. January 21‚ 2001 p. 1 NETWORK PLANNING AND DESIGN I. The Project Environment—The Big Picture Organizational Strategy and Culture Business role of applications in the organization Technology push/ demand pull Technological risk; the “bleeding edge” External Factors II. Planning System Development Methodologies III. Design

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    3g Wireless Network

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    3G WIRELESS NETWORKS: OPPORTUNITIES‚ CHALLENGES AND COMPARISON BETWEEN 3G & 4G TECHNOLOGY By: Piyush Chandra EIILM UNIVERSITY‚ SIKKIM Email id:piyush.chandra20@gmail

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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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    If the project was to be done again‚ there were various things that the project management team could do to better position the project for success. Better estimation of project complexity In order to meet the airport’s planned opening date‚ the project needed to be completed in just two years. The underestimation of complexity led to a corresponding underestimation of the effort involved. There are several approaches that the project management team should have taken to make better estimation

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