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Books on the topic 'Methods network planning'

Author: Grafiati

Published: 30 May 2022

Last updated: 31 May 2022

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1

Network optimization: Continuous and discrete methods. Belmont, Mass: Athena Scientific, 1998.

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2

Türke, Ulrich. Efficient Methods for WCDMA Radio Network Planning and Optimization. Wiesbaden: Vieweg+Teubner, 2007. http://dx.doi.org/10.1007/978-3-8350-5456-1.

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3

Türke, Ulrich. Efficient Methods for WCDMA Radio Network Planning and Optimization. Wiesbaden: Deutscher Universitäts-Verlag | GWV Fachverlage GmbH, Wiesbaden, 2008.

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4

Nuzzolo, Agostino. Transit network modelling: The schedule- based dynamic approach. Milano: F. Angeli, 2003.

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5

Guizani, Mohsen. Network modeling and simulation: A practical perspective. Chichester, West Sussex, U.K: Wiley, 2010.

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6

Thome, Castro Luciano, and Consoli Matheus Alberto, eds. Marketing methods to improve company strategy: Applied tools and frameworks to improve company's competitiveness using a network approach. New York, NY: Routledge, 2009.

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7

Neves, Marcos Fava. Marketing methods to improve company strategy: Applied tools and frameworks to improve a company's competitiveness using a network approach. New York, NY: Routledge, 2009.

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8

Livingston, David L. Investigation of automated task learning, decomposition and scheduling. Norfolk, Va: Old Dominion University Research Foundation, 1990.

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9

Scott, Kelso J. A., Volchenkov Dimitri, and SpringerLink (Online service), eds. Mathematical Analysis of Urban Spatial Networks. Berlin, Heidelberg: Springer Berlin Heidelberg, 2009.

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10

Vartiainen, Perttu. Method of description for the urban network in the Baltic Sea region. Helsinki: Ministry of the Environment, 2000.

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11

Brandimarte, Paolo. Introduction to distribution logistics. Hoboken, N.J: John Wiley, 2007.

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12

Zundong, Zhang, and Qin Yong active 2013, eds. Cheng shi dao lu jiao tong wang luo duo mo tai jie gou dong tai xing yan jiu: Multimodal Dynamics of Urban Road Traffic Networks. Beijing: Ke xue chu ban she, 2013.

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13

1952-, Delahaye Paine Katie, and Paarlberg William T, eds. Measuring the networked nonprofit: Using data to change the world. San Francisco: Jossey-Bass, a Wiley imprint, 2012.

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14

Russo, Giovanni, Vito Latora, and Vincenzo Nicosia. Complex Networks: Principles, Methods and Applications. Cambridge University Press, 2017.

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15

Wulff, F. Network Analysis in Marine Ecology: Methods and Applications. Springer, 2011.

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16

Wulff, F., J. G. Field, and K. H. Mann. Network Analysis in Marine Ecology: Methods and Applications. Springer, 1989.

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17

Fredrik, Wulff, Field J. G, and Mann K. H. 1923-, eds. Network analysis in marine ecology: Methods and applications. Berlin: Springer-Verlag, 1989.

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18

Graph Theoretic Methods In Multiagent Networks. Princeton University Press, 2010.

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19

Egerstedt, Magnus, and Mehran Mesbahi. Graph Theoretic Methods in Multiagent Networks. Princeton University Press, 2010.

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20

Egerstedt, Magnus, and Mehran Mesbahi. Graph Theoretic Methods in Multiagent Networks. Princeton University Press, 2010.

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21

Smith, David K. Networks and Graphs: Techniques and Computational Methods. Horwood Publishing Limited, 2003.

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22

Wulff, F., and John G. Field. Network Analysis in Marine Ecology: Methods and Applications (Coastal and Estuarine Studies). Springer-Verlag, 1990.

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23

Guizani, Mohsen, Ammar Rayes, Ala Al-Fuqaha, and Bilal Khan. Network Modeling and Simulation: A Practical Perspective. Wiley & Sons, Incorporated, John, 2010.

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24

Mohsen, Guizani, ed. Network modeling and simulation: A practical perspective. Chichester, West Sussex, U.K: Wiley, 2010.

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25

Network Modelling and Simulation: Concepts and Applications. John Wiley & Sons, 2007.

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26

Methods for evaluating new digital interexchange transmission systems as a guide to national network planning. Geneva: International Telecommunication Union, 1988.

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27

Even Better Mathematics (Network Continuum Education). Network Continuum Education, 2007.

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28

Volchenkov, Dimitri, and Philippe Blanchard. Mathematical Analysis of Urban Spatial Networks. Springer, 2010.

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29

Urban, Pappi Franz, ed. Methoden der Netzwerkanalyse. München: Oldenbourg, 1987.

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30

Pappi, Franz Urban. Techniken der empirischen Sozialforschung, Bd.1, Methoden der Netzwerkanalyse. Oldenbourg, 1990.

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31

Office, General Accounting. Air pollution: National air monitoring network is inadequate : report to congressional requesters. Washington, D.C: The Office, 1989.

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32

M, Slator Brian, ed. Electric worlds in the classroom: Teaching and learning with role-based computer games. New York: Teachers College Press, 2006.

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33

Beckwith, Richard T., and Harold Chaput. Electric Worlds in the Classroom: Teaching And Learning With Role-based Computer Games (Technology, Education--Connections (Tec) Series). Teachers College Press, 2006.

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34

(Editor), Brian M. Slator, ed. Electric Worlds in the Classroom: Teaching And Learning With Role-Based Computer Games (Technology, Education--Connections (the Tec Series)). Teachers College Press, 2006.

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35

Zotteri, Giulio, and Paolo Brandimarte. Introduction to Distribution Logistics. Wiley & Sons, Incorporated, John, 2007.

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36

Introduction to Distribution Logistics (Statistics in Practice). Wiley-Interscience, 2007.

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37

Forte, Maurizio, and Helena Murteira, eds. Digital Cities. Oxford University Press, 2020. http://dx.doi.org/10.1093/oso/9780190498900.001.0001.

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The guiding premise of this book is the role of the study of the city, its display and dissemination, in the information network of digital cities. A collection of essays on the ways the city can now be studied and presented, this book surveys the current situation in regard to various visualizations of cities of the past and present, built on historical evidence and scientific hypothesis. The chapters reflect the authors’ wide-ranging fields of interest and experience, from archeology to urban planning. Current methods of visualization, including 3D models and virtual reality simulations, are described and critiqued, primarily in regard to the field of cyber-archeology. Thus, the book offers a view of cities in the digital realm as simultaneously memory, imagination, and experience. In this way, it depicts how the ever-changing character of the past, present, and future is reformulated and re-presented in our digital era.

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38

Ślusarski, Marek. Metody i modele oceny jakości danych przestrzennych. Publishing House of the University of Agriculture in Krakow, 2017. http://dx.doi.org/10.15576/978-83-66602-30-4.

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The quality of data collected in official spatial databases is crucial in making strategic decisions as well as in the implementation of planning and design works. Awareness of the level of the quality of these data is also important for individual users of official spatial data. The author presents methods and models of description and evaluation of the quality of spatial data collected in public registers. Data describing the space in the highest degree of detail, which are collected in three databases: land and buildings registry (EGiB), geodetic registry of the land infrastructure network (GESUT) and in database of topographic objects (BDOT500) were analyzed. The results of the research concerned selected aspects of activities in terms of the spatial data quality. These activities include: the assessment of the accuracy of data collected in official spatial databases; determination of the uncertainty of the area of registry parcels, analysis of the risk of damage to the underground infrastructure network due to the quality of spatial data, construction of the quality model of data collected in official databases and visualization of the phenomenon of uncertainty in spatial data. The evaluation of the accuracy of data collected in official, large-scale spatial databases was based on a representative sample of data. The test sample was a set of deviations of coordinates with three variables dX, dY and Dl – deviations from the X and Y coordinates and the length of the point offset vector of the test sample in relation to its position recognized as a faultless. The compatibility of empirical data accuracy distributions with models (theoretical distributions of random variables) was investigated and also the accuracy of the spatial data has been assessed by means of the methods resistant to the outliers. In the process of determination of the accuracy of spatial data collected in public registers, the author’s solution was used – resistant method of the relative frequency. Weight functions, which modify (to varying degree) the sizes of the vectors Dl – the lengths of the points offset vector of the test sample in relation to their position recognized as a faultless were proposed. From the scope of the uncertainty of estimation of the area of registry parcels the impact of the errors of the geodetic network points was determined (points of reference and of the higher class networks) and the effect of the correlation between the coordinates of the same point on the accuracy of the determined plot area. The scope of the correction was determined (in EGiB database) of the plots area, calculated on the basis of re-measurements, performed using equivalent techniques (in terms of accuracy). The analysis of the risk of damage to the underground infrastructure network due to the low quality of spatial data is another research topic presented in the paper. Three main factors have been identified that influence the value of this risk: incompleteness of spatial data sets and insufficient accuracy of determination of the horizontal and vertical position of underground infrastructure. A method for estimation of the project risk has been developed (quantitative and qualitative) and the author’s risk estimation technique, based on the idea of fuzzy logic was proposed. Maps (2D and 3D) of the risk of damage to the underground infrastructure network were developed in the form of large-scale thematic maps, presenting the design risk in qualitative and quantitative form. The data quality model is a set of rules used to describe the quality of these data sets. The model that has been proposed defines a standardized approach for assessing and reporting the quality of EGiB, GESUT and BDOT500 spatial data bases. Quantitative and qualitative rules (automatic, office and field) of data sets control were defined. The minimum sample size and the number of eligible nonconformities in random samples were determined. The data quality elements were described using the following descriptors: range, measure, result, and type and unit of value. Data quality studies were performed according to the users needs. The values of impact weights were determined by the hierarchical analytical process method (AHP). The harmonization of conceptual models of EGiB, GESUT and BDOT500 databases with BDOT10k database was analysed too. It was found that the downloading and supplying of the information in BDOT10k creation and update processes from the analyzed registers are limited. An effective approach to providing spatial data sets users with information concerning data uncertainty are cartographic visualization techniques. Based on the author’s own experience and research works on the quality of official spatial database data examination, the set of methods for visualization of the uncertainty of data bases EGiB, GESUT and BDOT500 was defined. This set includes visualization techniques designed to present three types of uncertainty: location, attribute values and time. Uncertainty of the position was defined (for surface, line, and point objects) using several (three to five) visual variables. Uncertainty of attribute values and time uncertainty, describing (for example) completeness or timeliness of sets, are presented by means of three graphical variables. The research problems presented in the paper are of cognitive and application importance. They indicate on the possibility of effective evaluation of the quality of spatial data collected in public registers and may be an important element of the expert system.

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39

J, Schensul Jean, ed. Mapping social networks, spatial data & hidden populations. Walnut Creek, Calif: AltaMira Press, 1999.

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40

Betancourt, Theresa S., William Beardslee, Catherine Kirk, Katrina Hann, Moses Zombo, Christine Mushashi, Fredrick Kanyanganzi, Morris Munyana, and Justin I. Bizimana. Working with vulnerable populations. Oxford University Press, 2015. http://dx.doi.org/10.1093/med/9780199680467.003.0007.

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We discuss key issues to consider when conducting clinical trials with vulnerable children, youths, and families, with particular attention to groups affected by communal violence/war and families affected by HIV/AIDS. Across these settings, there is an overlap of several forms of adversity and vulnerability which require careful research attention. We also discuss ethical practices with vulnerable groups, including the use of qualitative methods to enhance understanding of local perspectives and language around mental health problems and resilience, planning for risk of harm referral networks, and applications of community-based participatory research (CBPR) techniques. Such approaches can raise community awareness and increase engagement for addressing mental health in vulnerable populations while also informing and promoting practice and policy change. Drawing from examples of work in Sub-Saharan Africa and with refugees in the US, we conclude with a series of recommendations for advancing sensitive research practices with vulnerable populations.

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41

Researcher roles & research partnerships. Walnut Creek, Calif: AltaMira Press, 1999.

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42

J, Schensul Jean, and LeCompte Margaret Diane, eds. The ethnographer's toolkit. Walnut Creek, Calif: AltaMira Press, 1999.

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43

National Institute on Drug Abuse and National Institute on Drug Abuse. Public Information Branch, eds. Drug abuse prevention for the general population. Rockville, MD (5600 Fishers Lane, Rockville 20857): U.S. Dept. of Health and Human Services, National Institute of Health, National Institute on Drug Abuse, Office of Science Policy and Communications, Public Information Branch, 1997.

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