Thematische Bibliographien / Measurement of network parameters

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Auswahl der wissenschaftlichen Literatur zum Thema „Measurement of network parameters“

Autor: Grafiati

Veröffentlicht am 28. Juni 2021

Zuletzt aktualisiert am 1. Februar 2022

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Zeitschriftenartikel zum Thema "Measurement of network parameters"

Rahman, F., A. Kumar, G. Nagendra und G. S. Gupta. „Network Approach for Physiological Parameters Measurement“. IEEE Transactions on Instrumentation and Measurement 54, Nr. 1 (Februar 2005): 337–46. http://dx.doi.org/10.1109/tim.2004.834595.

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Li, Xia. „The Parameters Measurement of the Network Performance“. Applied Mechanics and Materials 380-384 (August 2013): 850–53. http://dx.doi.org/10.4028/www.scientific.net/amm.380-384.850.

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By using active method of injecting test flow data into the network the parameters of throughput, bandwidth, delay jitter, packet loss can be gained, UDP network performance of the single network segment can be tested. According to the measurement results, the network should be properly distributed for the access connection number and allocation of bandwidth for each client to improve the network performance.

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Bianco, Fernando L., German Naldini, Jose Amado, Santiago Chiale und Felipe Gonzalez. „Measurement Module S parameters for vector network analyzer“. IEEE Latin America Transactions 11, Nr. 1 (Februar 2013): 236–41. http://dx.doi.org/10.1109/tla.2013.6502809.

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Shahar, L., und G. Even-Tzur. „Extraction of the deterministic ingredient of a dynamic geodetic control network“. Journal of Geodetic Science 2, Nr. 1 (01.01.2012): 68–75. http://dx.doi.org/10.2478/v10156-011-0027-6.

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Extraction of the deterministic ingredient of a dynamic geodetic control networkA minimum constraints solution, which resolves the datum defect of a control network, is an arbitrary solution that may result in a systematic error in the estimation of the deformation parameters. This error is not derived from measurements and is usually inconsistent with the geophysical reality. A free network is affected only by errors of measurement and, therefore, a free network is an accepted way of coping with this problem. Study of deformations, which is based on the use of geodetic measurements, is usually performed today by defining a kinematic model. Such a model, when used to describe a complex geophysical environment, can lead to the partial estimation of the deterministic dynamics, which characterize the entire network. These dynamics are themselves expressed in measurements, as the adjustment systems' residuals. The current paper presents an extension of the definition of the parameters that are revalued. This extension enables the cleaning of measurements by means of the extraction of datum elements that have been defined by geodetic measurement. This cleaning minimizes the effects of these elements on the revaluated deformation. The proposed algorithm may be applied to achieve the simultaneous estimation of the physical parameters that define the geophysical activity in the network.

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Zhang, Dianjin, Guangyu Zhang und Longqiu Li. „Calibration of a six-axis parallel manipulator based on BP neural network“. Industrial Robot: the international journal of robotics research and application 46, Nr. 5 (19.08.2019): 692–98. http://dx.doi.org/10.1108/ir-12-2018-0248.

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Purpose This paper aims to provide a simple and flexible calibration method of parallel manipulators for improving the position accuracy only using partial pose information. Design/methodology/approach The overall idea of this method is to use BP neural network to fit the relationship between calibration parameters and measurement parameters and then adjust calibration parameters according to measurements. Findings The calibration method significantly improves the position accuracy of the six-axis parallel manipulator. Simulation shows that the accuracy can be improved by increasing the number of positions consisted of samples to train BP neural network, and when the position number is increased, the descent velocity of fitting error is decreased. Originality/value The method is general for various parallel mechanisms and simple for measurement process. It can be applied to the calibration of various mechanisms without analyzing the mathematical relationship between measurements and calibration parameters. The measurement parameters can be flexibly selected to simplify measurement process, which saves calibration cost and time.

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Beckie, Roger. „Measurement Scale, Network Sampling Scale, and Groundwater Model Parameters“. Water Resources Research 32, Nr. 1 (Januar 1996): 65–76. http://dx.doi.org/10.1029/95wr02921.

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Borovskikh, L. P., und N. G. Chitashvili. „Invariant measurement of three-element two-terminal network parameters“. Measurement Techniques 33, Nr. 1 (Januar 1990): 63–67. http://dx.doi.org/10.1007/bf00866822.

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Jamróz, Dariusz, Tomasz Niedoba, Paulina Pięta und Agnieszka Surowiak. „The Use of Neural Networks in Combination with Evolutionary Algorithms to Optimise the Copper Flotation Enrichment Process“. Applied Sciences 10, Nr. 9 (29.04.2020): 3119. http://dx.doi.org/10.3390/app10093119.

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The paper presents a way of combining neural networks with evolutionary algorithms in order to find optimal parameters of the copper flotation enrichment process. The neural network was used in order to build a model describing the flotation process. The network learning was carried out with the use of samples from previous empirical measurements of the actual process. The model created in this way made it possible to find optimal parameters not only from among the measurement spaces, but also those that go beyond the measurements. Then, evolutionary algorithms were used in order to find optimal flotation parameters. The learned neural network previously described was used to calculate the criterion in the evolutionary algorithm.

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LIU, ZAIWEN, XIAOYI WANG und LIFENG CUI. „AN INTELLIGENT SOFT MEASUREMENT METHOD FOR PREDICTING PARAMETERS“. International Journal of Information Acquisition 04, Nr. 01 (März 2007): 47–56. http://dx.doi.org/10.1142/s0219878907001150.

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An intelligent soft measurement and information processing method for predicting parameters of process control system was proposed. Process neural network (PNN) is a new configuration of artificial neural network put forward in recent years. Some algorithms of PNN were discussed, and these algorithms were based on function orthogonal basis expansion, yet the convergence rate was comparatively low. An improved algorithm for raising training speed based on function orthogonal basis expansion in PNN for soft measurement was researched. After increasing the normalizing rule on the original algorithm, and introducing function momentum adjustment item and learning rate automatically adjustment method for network weight function, the training time of learning algorithm for PNN was reduced, and a good result was represented by simulation in wastewater treatment system.

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Staszek, Kamil, Slawomir Gruszczynski und Krzysztof Wincza. „Tunable multiport system for measurement of two-port scattering parameters“. International Journal of Microwave and Wireless Technologies 9, Nr. 1 (17.08.2015): 99–112. http://dx.doi.org/10.1017/s1759078715001312.

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A novel multiport system, allowing for measurements of scattering parameters in over-two-octave frequency range is proposed. It is composed of two directional couplers and a standard 4 × 4 Butler matrix, and does not require any isolators. The presented system features a uniform power distribution providing the high precision of measurements, which can be further enhanced by a simple adjustment of the system's parameters. A comprehensive analysis of the proposed system configurations, a fully analytical calibration for transmission coefficient measurement, and the estimation of maximum measurement error are given. The proposed measuring system has been experimentally verified in a wide frequency range 1–5 GHz, by measurements of S-parameters of exemplary components. The measurement results are very close to the values obtained with the use of a commercial vector network analyser within the 50 dB range of measured values’ magnitude.

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Dissertationen zum Thema "Measurement of network parameters"

Tobolka, Lukáš. „Problematika návrhu síťové infrastruktury“. Master's thesis, Vysoké učení technické v Brně. Fakulta elektrotechniky a komunikačních technologií, 2021. http://www.nusl.cz/ntk/nusl-442356.

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The aim of this diploma thesis is to look at the design of network infrastructure in practice. There are individual procedures, brands, standards that must be followed when designing. It includes a brief general overview of terminal elements, cable systems and related matters. In general, methods for measuring optical lines and parameters for measuring metallic networks are described here. The possible complications that accompany it are briefly described in the implementation. The network design methodology is also described here on the example of a specific object. Before the actual handover of the work, the entire infrastructure is analyzed and measured with output protocols within the certification of the entire system together with outputs in the form of a measurement protocol.

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Černý, Michal. „Optimalizace a měření parametrů PON sítě FTTx“. Master's thesis, Vysoké učení technické v Brně. Fakulta elektrotechniky a komunikačních technologií, 2011. http://www.nusl.cz/ntk/nusl-218961.

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Práce rozebírá současný vývoj na poli pasivních optických sítí a jednotlivé generace přenosových standardů. Podrobněji se zabývá parametry ODN, metodami jejich měření a volbou potřebných měření v praxi. Hlavní část práce je zaměřena na měření pasivního WDM prvku, kde je provedena analýza vstupů a výstupů, měření vložného útlumu a přelechů podle ORL na provozních vlnových délkách.

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Dong, Wei. „Identification of Electrical Parameters in A Power Network Using Genetic Algorithms and Transient Measurements“. Thesis, University of Nottingham, 2009. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.523043.

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Sukup, Luboš. „Metody měření výkonnostních a kvalitativních parametrů datových sítí“. Master's thesis, Vysoké učení technické v Brně. Fakulta elektrotechniky a komunikačních technologií, 2013. http://www.nusl.cz/ntk/nusl-264927.

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Master thesis involves the development of quality measurement issues and performance parameters in data networks. It describes the main technologies as they affect the quality and performance parameters and the effect of these parameters for voice, video and data services. Next are listed some methods for measuring parameters of the data network.In the practical part is selected one method of measuring network parameters and properties of this method are demonstrated by illustrative examples.

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Yunda, Lozano Daniel. „Improving vertical handover performance for RTP streams containing voice : Using network parameters to predict future network conditions in order to make a vertical handover decision“. Thesis, KTH, Kommunikationssystem, CoS, 2007. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-92019.

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Wireless local area networks WLAN and Voice over IP technologies enable local low cost wireless telephony, while cellular networks offer wide-area coverage. The use of dual mode WLAN-cellular terminals should allow cost savings by automatically switching from GSM to WLAN networks whenever it is feasible. However, in order to allow user mobility during a call, a handover procedure for transferring a call between the WLAN interface and the cellular network should be defined. The decision algorithm that triggers such a handover is critical to maintain voice quality and uninterrupted communication. Information or measurements collected from the network may be used to anticipate when the connection will degrade to such a point that a handover is desirable in order to allow a sufficient time span for the handover’s successful execution. It is the delay in detecting when to make a handover and the time to execute it that motivates the need for a prediction. The goal of this thesis is therefore to present a method to predict when a handover should be made based upon network conditions. We selected a number of WLAN and VoIP software tools and adapted them to perform the measurements. These tools allowed us to measure parameters of the WLAN’s physical and link layers. Packet losses and jitter measurements were used as well. We have assumed that there is ubiquitous cellular coverage so that we only have to be concerned with upward handovers (i.e, from the WLAN to the cellular network and not the reverse). Finally we have designed and evaluated a mechanism that triggers the handover based in these measurements.
WLAN, trådlöst lokalt nätverk, och IP-telefoni tillsammans gör det möjligt med billig trådlös telefoni, samtidigt som mobiltelefoninätverk erbjuder stor signal beläggning. Att använda WLAN-mobil med dubbla hårdvaruterminaler skulle ge en kostnadsreducering genom att automatisk byta från GSM till WLAN när det är möjligt. Emellertid för att kunna flytta pågående samtal mellan ett WLAN- och ett mobilt gränssnitt, måste en handovermekansim definieras. En beslutsalgoritm som utlöser sådan handover är av stor vikt för att bibehålla röstkvalitet och oavbruten kommunikation. För att tillåta ett tillräckligt tidsspann för handoverns utförande kan information tagen från nätverket användas för att förutse när kommunikationen ska degraderas till en sådan punkt att en handover är önskvärd. Förseningen i detekteringen när en handover ska ske och tiden för utförandet motiverar behovet av förutsägelse. Det här exjobbet introducerar en metod som förutsäger när handover ska börja baserade på nätverksförhållandena. Vi har valt några WLAN och VoIP-program och anpassat dem för att genomföra mätningarna. Programmen tillät oss att mäta WLANs parameter för fysiska och datalänksskikten. Pecket Loss och jitter-mätningar användes likaså. Vi antog att det fanns GSM tjänst på alla platser så att vi endast behövde göra uppg aende handover(t.ex. från WLAN till mobilt nätverk och inte tvärtom). Vi framkallade och testade en mekanism att starta handovern baserade på nätverksmätningarna.
This is the same Ian Marsh as advisor who authored the disseratation http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-10572

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Sosa, Martin Daniel. „Software Automation For Measurement-Based Behavioral Models Of Microwave“. Scholar Commons, 2009. https://scholarcommons.usf.edu/etd/30.

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This thesis presents a study and implementation of several measurement procedures used to efficiently generate non-linear measurement-based behavioral models primary for microwave amplifiers. Behavioral models are a solution for representing devices that can present linear and/or non-linear behavior when little or no information about the internal structure is known. Measurement-based behavioral models are an advantage since they can be extracted from a direct measurement of the device. This work addresses some of the challenges of these types of measurements. A set of software modules has been produced that combine several modern techniques to efficiently generate practical models using equipment commonly available in a typical microwave lab. Advanced models using new and more complex equipment are also discussed. Modeling of the non-linear operation of power amplifiers is a common subject of study since it provides a path to improved system simulations. However, the measurement process used for non-linear behavioral modeling of PAs requires either non-linear measurement instrumentation, not yet widely available, or numerous measurements that makes the process tedious and susceptible to errors. Power dependent S-Parameters obtained with a conventional Vector Network Analyzers (VNA) can be used to extract AM-to-AM and AM-to-PM behavior of a device and to generate, simple but useful, behavioral models. A careful analysis of the characteristics of common RF measurement instrumentation combined with knowledge of common non-linear phenomena provides with the conditions under which useful models can be generated. The results of this work are presented as several programs implemented in National Instruments LabVIEW that will sequence through the different measurements required for the generation of measurement-based behavioral models. The implemented models are known as P2D and S2D models available with Agilent Advanced Design System (ADS.) The code will communicate with the measurement instrumentation and decide on the most efficient way to extract the data. Once the data is extracted, the code will put into the appropriate syntaxes required by the model for direct and convenient setup of the generated models in ADS.

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Benedik, Christopher. „Modeling and Minimization of Integrated Circuit Packaging Parasitics at Radio Frequencies“. Wright State University / OhioLINK, 2013. http://rave.ohiolink.edu/etdc/view?acc_num=wright1376605018.

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Julínek, Pavel. „Měření a modelování pokrytí bezdrátových sítí“. Master's thesis, Vysoké učení technické v Brně. Fakulta elektrotechniky a komunikačních technologií, 2015. http://www.nusl.cz/ntk/nusl-221257.

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The diploma thesis describes mobile communication systems GSM and UMTS including the operating principle of these systems. It also deals with the GPS issues and the determination of the location by this system. The signal path losses issues between the transmitter and receiver are also described. The focus is also put on Telit UC864-G model and the measurement system, operated by the created programme with the graphic user interface, which measures parameters of the cellular network according to entered input parameters and saves the measured values into the file. The part of the diploma thesis describes another created programme with the graphic user interface displaying the measured network parameters in map data with the possibility to compare the distribution of the measured signal value in both outdoor and indoor environment and the theoretical value set by the propagation models.

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Lindh, Thomas. „Performance monitoring in communication networks“. Doctoral thesis, KTH, Microelectronics and Information Technology, IMIT, 2004. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-3724.

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Performance monitoring in communication networks, which isthe main topic of this thesis, is an essential part ofperformance and network management. The applications cover anumber of different areas such as daily operations andmaintenance, usage information for billing purposes, customerreports, traffic control, planning, and dimensioning.

The main purpose of the thesis is to develop a single methodfor measurement of the most significant network performanceparameters in IP networks. It is a continuation from a previouslicentiate thesis that focused on performance monitoring incell-based networks.

The development of a measurement method that combines activeand passive approaches using monitoring blocks is the maincontribution of this work. A traffic flow performance meterbased on these principles has been implemented as an extensionto the open source flow meter NeTraMet and tested. Theresolution and precision of the results are determined by thesize of the monitoring block, which is the methods mainparameter. Relevant statistical issues regarding packet lossesand delays are analysed. Finally, the measurement method isdiscussed in the context of applications, as well as networkand service management systems in general.

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Behera, Soom Satyam. „Detecting Communities in Networks and Performance Prediction Based on Relation Strength Measurement“. Thesis, Université d'Ottawa / University of Ottawa, 2016. http://hdl.handle.net/10393/34347.

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Complex networks is an interdisciplinary research area which focuses on the study of properties of complex systems that have many functional or structural subunits. Community detection algorithms are one of the major approaches to analyse complex networks with multilevel or overlapping community structures. This research work focuses on constructing a novel community detection approach for simplification of a given complex demographic network. The general process of the abstraction from concrete problems as well as the general definition of communities have not been well defined and all the existing methods are derived from specific backgrounds, leaving the reliabilities in other fields open to ques- tion. This specificity of the existing methods reveals the need for a general approach for community definition and detection. Here, we devise a general procedure to find community structures in concrete problems by classifying the concrete networks into two basic types: Transmission networks and Similarity networks. The relation among nodes in transmission networks are constructed by material transmission and the ones in similarity network are constructed by the similarity in properties of the nodes. We show that both the types can be represented based upon an unified graph model. Based on the model, we propose a generic approach, Relation Strength Measurement (RSM), to define the communities. We have demonstrated that the Effective Resistance Function (ERF), from the Klein and Randic’s electrical network model, is applicable for quantifying the relation among nodes. We have also introduced a community threshold parameter (CP) based on which, the RSM algorithm categorizes the network nodes into communities. We have compared the performance of our algorithm with other well known community detection methods. The simulation results show that the algorithm accurately obtains the division of community structure both in real-world and synthetic networks.

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Bücher zum Thema "Measurement of network parameters"

Mavaddat, R. Network scattering parameters. Singapore: World Scientific, 1996.

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Network scattering parameters. Singapore: World Scientific, 1996.

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Methods of measuring environmental parameters. Hoboken, New Jersey: John Wiley & Sons, 2014.

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Dovrolis, Constantinos, Hrsg. Passive and Active Network Measurement. Berlin, Heidelberg: Springer Berlin Heidelberg, 2005. http://dx.doi.org/10.1007/b135479.

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Barakat, Chadi, und Ian Pratt, Hrsg. Passive and Active Network Measurement. Berlin, Heidelberg: Springer Berlin Heidelberg, 2004. http://dx.doi.org/10.1007/b96961.

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Moon, Sue B., Renata Teixeira und Steve Uhlig, Hrsg. Passive and Active Network Measurement. Berlin, Heidelberg: Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-642-00975-4.

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Uhlig, Steve, Konstantina Papagiannaki und Olivier Bonaventure, Hrsg. Passive and Active Network Measurement. Berlin, Heidelberg: Springer Berlin Heidelberg, 2007. http://dx.doi.org/10.1007/978-3-540-71617-4.

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Claypool, Mark, und Steve Uhlig, Hrsg. Passive and Active Network Measurement. Berlin, Heidelberg: Springer Berlin Heidelberg, 2008. http://dx.doi.org/10.1007/978-3-540-79232-1.

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M, Chaudhari Qasim, Hrsg. Synchronization in wireless sensor networks: Parameter estimation, performance benchmarks, and protocols. Cambridge: Cambridge University Press, 2009.

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Glas, Cees A. W. Modeling variability in item parameters in educational measurement. Newtown, PA: Law School Admission Council, 2006.

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Buchteile zum Thema "Measurement of network parameters"

Kolehmainen, Mikko, Hannu Martikainen, Teri Hiltunen und Juhani Ruuskanen. „Forecasting Air Quality Parameters Using Hybrid Neural Network Modelling“. In Urban Air Quality: Measurement, Modelling and Management, 277–86. Dordrecht: Springer Netherlands, 2000. http://dx.doi.org/10.1007/978-94-010-0932-4_30.

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Kulik, Vyacheslav, Ruslan Kirichek, Alexey Borodin und Andrey Koucheryavy. „Measurement System Architecture for Measuring Network Parameters of e2e Services“. In Communications in Computer and Information Science, 291–306. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-66836-9_25.

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Kim, Jinsul, Minsoo Hahn und Hyun-Woo Lee. „Smart SoftPhone Device for the Network Quality Parameters Discovery and Measurement“. In Universal Access in Human-Computer Interaction. Ambient Interaction, 898–907. Berlin, Heidelberg: Springer Berlin Heidelberg, 2007. http://dx.doi.org/10.1007/978-3-540-73281-5_98.

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Yang, Guosheng, Xiangling Fu, Nanfang Xu, Kailai Zhang und Ji Wu. „A Landmark Estimation and Correction Network for Automated Measurement of Sagittal Spinal Parameters“. In Communications in Computer and Information Science, 213–21. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-63820-7_24.

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Nitnaware, Dhiraj. „Smart Solar Panel: Wireless Sensor Network-Based Measurement and Monitoring of Performance Parameters of Solar Panel“. In Information and Communication Technology for Sustainable Development, 151–59. Singapore: Springer Singapore, 2017. http://dx.doi.org/10.1007/978-981-10-3932-4_16.

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Han, Fengling, Xinghuo Yu, Yong Feng und Huifeng Dong. „Phase-to-Phase Wave Parameters Measurement of Distribution Lines Based on BP Networks“. In Developments in Applied Artificial Intelligence, 284–92. Berlin, Heidelberg: Springer Berlin Heidelberg, 2002. http://dx.doi.org/10.1007/3-540-48035-8_28.

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Ahmed, Mohammed Moyed, Gorre Narsimhulu und D. Sreenivasa Rao. „Instrumentation for Measurement of Geotechnical Parameters for Landslide Prediction Using Wireless Sensor Networks“. In Advances in Intelligent Systems and Computing, 437–45. Singapore: Springer Singapore, 2019. http://dx.doi.org/10.1007/978-981-13-3393-4_45.

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Dahari, Nur Azie, und Herman Wahid. „Determination of Modeling Parameters for a Low Cost Air Pollution Measurement System Using Feedforward Neural Networks“. In Communications in Computer and Information Science, 685–96. Singapore: Springer Singapore, 2017. http://dx.doi.org/10.1007/978-981-10-6463-0_58.

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Chowdhury, Dhiman Deb. „Timing Parameters“. In NextGen Network Synchronization, 17–32. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-71179-5_2.

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Krisch, A. D. „Measurement of Spin Parameters“. In Antiproton-Nucleon and Antiproton-Nucleus Interactions, 159–65. Boston, MA: Springer US, 1990. http://dx.doi.org/10.1007/978-1-4613-0595-8_10.

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Konferenzberichte zum Thema "Measurement of network parameters"

Fangling Pu, Fangli Chen, Zongyang Liu, Hao Sun und Xin Xu. „Protocol design for airdropping meteorological parameters measurement network“. In 2013 IEEE Sensors Applications Symposium (SAS). IEEE, 2013. http://dx.doi.org/10.1109/sas.2013.6493563.

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Kalyani, S., und D. Vydeki. „Measurement and Analysis of QoS Parameters in RPL Network“. In 2018 Tenth International Conference on Advanced Computing (ICoAC). IEEE, 2018. http://dx.doi.org/10.1109/icoac44903.2018.8939052.

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Cerny, P. „Parameters measurement of power amplifier using vector network analyzer“. In 2013 13th Conference on Microwave Techniques (COMITE). IEEE, 2013. http://dx.doi.org/10.1109/comite.2013.6545065.

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Guaña-Moya, Javier, Tarquino Sánchez-Almeida und Nelson Salgado-Reyes. „Measurement of agricultural parameters using wireless sensor network (WSN)“. In INTERNATIONAL CONFERENCE ON ELECTRICAL, ELECTRONICS, MATERIALS AND APPLIED SCIENCE. Author(s), 2018. http://dx.doi.org/10.1063/1.5031971.

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Yang, Ning, Christophe Caloz und Ke Wu. „Measurement of balanced antennas using mixed-mode network parameters“. In 2011 XXXth URSI General Assembly and Scientific Symposium. IEEE, 2011. http://dx.doi.org/10.1109/ursigass.2011.6050309.

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Zhihui Luo, Feng Liu und Yun Xie. „User-perceived FTP service QoS parameters and measurement“. In 2009 IEEE International Conference on Network Infrastructure and Digital Content (IC-NIDC 2009). IEEE, 2009. http://dx.doi.org/10.1109/icnidc.2009.5360792.

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Zhang, Jianmin, Marina Y. Koledintseva, David P. Pommerenke, James L. Drewniak, Konstantin N. Rozanov, Giulio Antonini und Antonio Orlandi. „Extraction of Dispersive Material Parameters Using Vector Network Analyzers and Genetic Algorithms“. In 2006 IEEE Instrumentation and Measurement Technology. IEEE, 2006. http://dx.doi.org/10.1109/imtc.2006.328518.

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Jianmin Zhang. „Extraction of Dispersive Material Parameters Using Vector Network Analyzers and Genetic Algorithms“. In 2006 IEEE Instrumentation and Measurement Technology. IEEE, 2006. http://dx.doi.org/10.1109/imtc.2006.237107.

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Dosoudil, Rastislav, Kornel Lisy und Vladimir Durman. „Two-Port Frequency-Domain Measurement of Material Parameters Using Network Analysis Method“. In 2019 12th International Conference on Measurement. IEEE, 2019. http://dx.doi.org/10.23919/measurement47340.2019.8779996.

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Bin Zeng und Lu Yao. „Study of measurement mechanism for TCP rate control parameters“. In 2015 4th International Conference on Computer Science and Network Technology (ICCSNT). IEEE, 2015. http://dx.doi.org/10.1109/iccsnt.2015.7490911.

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Berichte der Organisationen zum Thema "Measurement of network parameters"

Fernandez, J. A measurement of the parity-violating parameter A(B) with electrons at the SLD using a neural network. Office of Scientific and Technical Information (OSTI), Januar 2004. http://dx.doi.org/10.2172/826652.

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Shenker, S., und J. Wroclawski. General Characterization Parameters for Integrated Service Network Elements. RFC Editor, September 1997. http://dx.doi.org/10.17487/rfc2215.

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Dunwoodie, William. A Measurement of PSI(2S) Resonance Parameters. Office of Scientific and Technical Information (OSTI), November 2002. http://dx.doi.org/10.2172/808673.

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Raisanen, V., G. Grotefeld und A. Morton. Network performance measurement with periodic streams. RFC Editor, November 2002. http://dx.doi.org/10.17487/rfc3432.

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Tierney, Brian L., Jeff Boote, Eric Boyd, Aaron Brown, Maxim Grigoriev, Joe Metzger, Martin Swany, Matt Zekauskas und Jason Zurawski. Instantiating a Global Network Measurement Framework. Office of Scientific and Technical Information (OSTI), Dezember 2008. http://dx.doi.org/10.2172/946807.

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Law, B. E. AmeriFlux Measurement Network: Science Team Coordination. Office of Scientific and Technical Information (OSTI), Oktober 2002. http://dx.doi.org/10.2172/839249.

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Law, B. E. AmeriFlux Measurement Network: Science Team Research. Office of Scientific and Technical Information (OSTI), Dezember 2012. http://dx.doi.org/10.2172/1057202.

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Day-Lewis, Frederick, Kamini Singha, Roy Haggerty, Tim Johnson, Andrew Binley und John Lane. Geoelectrical Measurement of Multi-Scale Mass Transfer Parameters. Office of Scientific and Technical Information (OSTI), Januar 2014. http://dx.doi.org/10.2172/1114652.

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O'Donnell, Thomas. Precision Measurement of Neutrino Oscillation Parameters with KamLAND. Office of Scientific and Technical Information (OSTI), Dezember 2011. http://dx.doi.org/10.2172/1082203.

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Day-Lewis, Frederick David, Kamini Singha, Timothy C. Johnson, Roy Haggerty, Andrew Binley und John W. Lane. Geoelectrical Measurement of Multi-Scale Mass Transfer Parameters. Office of Scientific and Technical Information (OSTI), November 2014. http://dx.doi.org/10.2172/1164392.

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