LEADER 05695nam 2200685Ia 450 001 9910458619603321 005 20200520144314.0 010 $a1-280-70766-6 010 $a9786610707669 010 $a0-08-046605-2 035 $a(CKB)1000000000364085 035 $a(EBL)282116 035 $a(OCoLC)505085651 035 $a(SSID)ssj0000311834 035 $a(PQKBManifestationID)11230266 035 $a(PQKBTitleCode)TC0000311834 035 $a(PQKBWorkID)10329214 035 $a(PQKB)11263726 035 $a(MiAaPQ)EBC282116 035 $a(Au-PeEL)EBL282116 035 $a(CaPaEBR)ebr10151417 035 $a(CaONFJC)MIL70766 035 $a(EXLCZ)991000000000364085 100 $a20060615d2006 uy 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 10$aTraffic engineering and QoS optimization of integrated voice & data networks$b[electronic resource] /$fGerald R. Ash 210 $aBoston $cElsevier Morgan Kaufmann$dc2006 215 $a1 online resource (509 p.) 225 1 $aMorgan Kaufmann series in networking 300 $aDescription based upon print version of record. 311 $a0-12-370625-4 320 $aIncludes bibliographical references and index. 327 $aFront Cover; Title Page; Copyright Page; Table of Contents; Foreword; Preface; Acknowledgments; About the Author; Chapter 1 Traffic Engineering and QoS Optimization Models; 1.1 Introduction; 1.2 Terminology and Definitions; 1.3 TQO Background and Motivation; 1.4 TQO Functional Model; 1.4.1 Traffic/Application Layer; 1.4.2 MPLS LSPs/Layer 3; 1.4.3 Logical Links/GMPLS LSPs/Layer 2; 1.4.4 Physical Fiber Transport/Layer 1; 1.4.5 Operational/Management Layer; 1.5 TQO Design; 1.5.1 TQO Design Problem Statement; 1.5.1.1 Traffic/Application Layer Design 327 $a1.5.1.2 MPLS LSP Dynamic Routing and Bandwidth Allocation Layer 3 Design1.5.1.3 GMPLS LSP (Logical Link) Routing and Bandwidth Allocation Layer 2 Design; 1.5.1.4 Physical Fiber Transport/Layer 1 Design; 1.5.1.5 Operational/Management Layer Design; 1.5.2 TQO Design Approach; 1.5.2.1 Design and Operational Experience; 1.5.2.2 Modeling, Analysis, and Case Studies; 1.6 TQO Design and Operational Experience; 1.6.1 Design and Operational Experience in Data Networks; 1.6.1.1 Data Network Routing Layer Design/Operational Experience; 1.6.1.2 Data Network Management Layer Design/Operational Experience 327 $a1.6.2 Design and Operational Experience in Voice Networks1.6.2.1 Voice Network Routing Layer Design/Operational Experience; 1.6.2.2 Voice Network Management Layer Design/Operational Experience; 1.6.2.3 Benefits Derived from TQO Design/Operational Experience in Voice Networks; 1.6.3 TQO Design Principles and Benefits Derived from Experience; 1.7 Modeling, Analysis, and Case Studies; 1.7.1 Analysis, Design, and Optimization Methods Used in Modeling Studies; 1.7.1.1 Routing Design and Optimization Methods; 1.7.1.2 Capacity Design and Optimization Methods; 1.7.1.3 QoS and GoS Performance Measures 327 $a1.7.2 Key Results from Modeling Studies1.8 Generic TQO (GTQO) Protocol and Benefits; 1.9 Standards Needs to Realize GTQO Protocol Requirements; 1.10 Conclusion and Applicability of Requirements; Chapter 2 Call/Session Routing and Connection Routing Methods; 2.1 Introduction; 2.2 Call/Session Routing Methods; 2.3 Connection (Bearer-Path) Routing Methods; 2.3.1 Hierarchical Fixed Routing Path Selection; 2.3.2 Time-Dependent Routing Path Selection; 2.3.3 State-Dependent Routing Path Selection; 2.3.4 Event-Dependent Routing Path Selection; 2.4 Internetwork Routing; 2.5 Modeling of TQO Methods 327 $a2.5.1 Network Design Comparisons2.5.2 Network Performance Comparisons; 2.5.3 Single-Area Flat Topology vs Multiarea Two-Level Hierarchical Network Topology; 2.5.4 Network Modeling Conclusions; 2.6 Summary and Conclusions; 2.7 Applicability of Requirements; Chapter 3 Traffic Engineering and QoS Optimization of MPLS-Based Integrated Voice/Data Dynamic Routing Networks; 3.1 Introduction; 3.2 Class-of-Service Routing; 3.2.1 Class-of-Service Identification; 3.2.2 Routing Table Derivation; 3.2.3 Class-of-Service Routing Steps; 3.3 Dynamic Bandwidth Allocation, Protection, and Reservation Principles 327 $a3.3.1 Per-VNET Bandwidth Allocation, Protection, and Reservation 330 $aThis book describes, analyzes, and recommends traffic engineering (TE) and quality of service (QoS) optimization methods for integrated voice/data dynamic routing networks. These functions control a network's response to traffic demands and other stimuli, such as link failures or node failures. TE and QoS optimization is concerned with measurement, modeling, characterization, and control of network traffic, and the application of techniques to achieve specific performance objectives. The scope of the analysis and recommendations include dimensioning, call/flow and connection routing, QoS resou 410 0$aMorgan Kaufmann series in networking 606 $aTelecommunication$xTraffic$xManagement 606 $aComputer networks$xQuality control 606 $aInternet telephony$xQuality control 608 $aElectronic books. 615 0$aTelecommunication$xTraffic$xManagement. 615 0$aComputer networks$xQuality control. 615 0$aInternet telephony$xQuality control. 676 $a621.382/1 700 $aAsh$b Gerald R$0971128 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910458619603321 996 $aTraffic engineering and QoS optimization of integrated voice & data networks$92207447 997 $aUNINA LEADER 02720nam 2200505 450 001 9910795451803321 005 20230807203119.0 010 $a3-8325-9432-9 035 $a(CKB)4340000000244403 035 $a(MiAaPQ)EBC5247153 035 $a58a1c68b-0d98-4f60-ae10-3edeb0dd2d03 035 $a(EXLCZ)994340000000244403 100 $a20180509d2015 uy 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aImplant system for the recording of internal muscle activity to control a hand prosthesis /$fvon Lait Abu Saleh, aus Majdal Shams, Golanho?hen 210 1$aBerlin :$cLogos Verlag Berlin,$d[2015] 215 $a1 online resource (xiii, 198 pages) $cillustrations 225 0 $aWissenschaftliche Beitra?ge zur Medizinelektronik ;$vVolume 5 300 $a"Vom Promotionsausschuss der Technischen Universita?t Hamburg-Harburg zur Erlangung des akademischen Grades Doktor-Ingenieur (Dr. -Ing.) genehmigte Dissertation, von Lait Abu Saleh, aus, Majdal Shams, Golanho?hen, 2015". 311 $a3-8325-4153-5 320 $aIncludes bibliographical references. 330 $aLong description: An implantable system to invasively acquire muscle activity for controlling a bionic hand prosthesis is presented. The system utilizes two wireless interfaces for data and power transmission. Furthermore, a multichannel custom made low-power application specific integrated circuit (ASIC) was designed in 130 nm technology to amplify, filter and digitize the analogue muscle-activity. A trade-off between power consumption, silicon area and noise was considered during the design phase. The implant system was successfully tested by several animal experiments (sheep and rhesus macaques). The invasively recorded muscle activity possesses a higher amplitude, higher selectivity and more stability than its surface recorded counterpart. It provides an opportunity for simple and smooth control of a hand prosthetic system with high number of degrees of freedom. 606 $aMedical innovations 606 $aArtificial hands 606 $aBiomedical materials 606 $aProsthesis 615 0$aMedical innovations. 615 0$aArtificial hands. 615 0$aBiomedical materials. 615 0$aProsthesis. 676 $a617.575 700 $aSaleh$b Lait Abu$f1980-$01551764 702 $aShams$b aus Majdal 702 $aGolanhohen 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910795451803321 996 $aImplant system for the recording of internal muscle activity to control a hand prosthesis$93811420 997 $aUNINA