Literatura académica sobre el tema "Traffic analysi"
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Artículos de revistas sobre el tema "Traffic analysi"
Manvelidze, A. B. "Air lines network modelling algorithm". Strategic decisions and risk management, n.º 6 (13 de febrero de 2018): 22–29. http://dx.doi.org/10.17747/2078-8886-2017-6-22-29.
Texto completoCURPEN, Radu, Mihai-Iulian ILIESCU y Florin SANDU. "AN ANALYSIS OF 3G-4G TRAFFIC GUIDANCE METHODS". Review of the Air Force Academy 14, n.º 2 (8 de diciembre de 2016): 123–32. http://dx.doi.org/10.19062/1842-9238.2016.14.2.15.
Texto completoAdje, Erick A., Vinasetan Ratheil Houndji y Michel Dossou. "Features analysis of internet traffic classification using interpretable machine learning models". IAES International Journal of Artificial Intelligence (IJ-AI) 11, n.º 3 (1 de septiembre de 2022): 1175. http://dx.doi.org/10.11591/ijai.v11.i3.pp1175-1183.
Texto completoG, Kothai y Poovammal E. "Performance Analysis of Stationary and Deterministic AODV Model". International Journal of Interactive Mobile Technologies (iJIM) 14, n.º 17 (13 de octubre de 2020): 33. http://dx.doi.org/10.3991/ijim.v14i17.16643.
Texto completoMishra, Shailendra. "Network Traffic Analysis Using Machine Learning Techniques in IoT Networks". International Journal of Software Innovation 9, n.º 4 (octubre de 2021): 1–17. http://dx.doi.org/10.4018/ijsi.289172.
Texto completoJiang, Shi Bao, Chuan Feng Bai y Cui Feng Du. "Traffic Forecast Based on Empirical Mode Decomposition and RBF Neural Network". Advanced Materials Research 846-847 (noviembre de 2013): 1270–73. http://dx.doi.org/10.4028/www.scientific.net/amr.846-847.1270.
Texto completoGajewski, Piotr, Jerzy Łopatka y Piotr Łubkowski. "Performance Analysis of Public Safety Cognitive Radio MANET for Diversified Traffic". Sensors 22, n.º 5 (1 de marzo de 2022): 1927. http://dx.doi.org/10.3390/s22051927.
Texto completoAnupriya y Anita Singhrova. "Comparative Analysis of Time Series Forecasting Models for SDMN Traffic". Journal of Advanced Research in Dynamical and Control Systems 11, n.º 0009-SPECIAL ISSUE (25 de septiembre de 2019): 531–40. http://dx.doi.org/10.5373/jardcs/v11/20192602.
Texto completoLu, Jiazhong, Fengmao Lv, Zhongliu Zhuo, Xiaosong Zhang, Xiaolei Liu, Teng Hu y Wei Deng. "Integrating Traffics with Network Device Logs for Anomaly Detection". Security and Communication Networks 2019 (13 de junio de 2019): 1–10. http://dx.doi.org/10.1155/2019/5695021.
Texto completoSEMENIKHIN, B. A., L. P. KUZNETSOVA, YU A. MALNEVA y A. YU ALTUKHOV. "THE ANALYSIS OF PASSENGER TRAFFIC ON THE ROUTES OF THE BUS OF KURSK". World of transport and technological machines 71, n.º 4 (diciembre de 2020): 37–45. http://dx.doi.org/10.33979/2073-7432-2020-71-4-37-45.
Texto completoTesis sobre el tema "Traffic analysi"
FINAMORE, ALESSANDRO. "Analysis, characterization and classification of Internet traffic". Doctoral thesis, Politecnico di Torino, 2012. http://hdl.handle.net/11583/2497191.
Texto completoROLLO, FEDERICA. "Verso soluzioni di sostenibilità e sicurezza per una città intelligente". Doctoral thesis, Università degli studi di Modena e Reggio Emilia, 2022. http://hdl.handle.net/11380/1271183.
Texto completoA smart city is a place where technology is exploited to help public administrations make decisions. The technology can contribute to the management of multiple aspects of everyday life, offering more reliable services to citizens and improving the quality of life. However, technology alone is not enough to make a smart city; suitable methods are needed to analyze the data collected by technology and manage them in such a way as to generate useful information. Some examples of smart services are the apps that allow to reach a destination through the least busy road route or to find the nearest parking slot, or the apps that suggest better paths for a walk based on air quality. This thesis focuses on two aspects of smart cities: sustainability and safety. The first aspect concerns studying the impact of vehicular traffic on air quality through the development of a network of traffic and air quality sensors, and the implementation of a chain of simulation models. This work is part of the TRAFAIR project, co-financed by the European Union, which is the first project with the scope of monitoring in real-time and predicting air quality on an urban scale in 6 European cities, including Modena. The project required the management of a large amount of heterogeneous data and their integration on a complex and scalable data platform shared by all the partners of the project. The data platform is a PostgreSQL database, suitable for dealing with spatio-temporal data, and contains more than 60 tables and 435 GB of data (only for Modena). All the processes of the TRAFAIR pipeline, the dashboards and the mobile apps exploit the database to get the input data and, eventually, store the output, generating big data streams. The simulation models, executed on HPC resources, use the sensor data and provide results in real-time (as soon as the sensor data are stored in the database). Therefore, the anomaly detection techniques applied to sensor data need to perform in real-time in a short time. After a careful study of the distribution of the sensor data and the correlation among the measurements, several anomaly detection techniques have been implemented and applied to sensor data. A novel approach for traffic data that employs a flow-speed correlation filter, STL decomposition and IQR analysis has been developed. In addition, an innovative framework that implements 3 algorithms for anomaly detection in air quality sensor data has been created. The results of the experiments have been compared to the ones of the LSTM autoencoder, and the performances have been evaluated after the calibration process. The safety aspect in the smart city is related to a crime analysis project, the analytical processes directed at providing timely and pertinent information to assist the police in crime reduction, prevention, and evaluation. Due to the lack of official data to produce the analysis, this project exploits the news articles published in online newspapers. The goal is to categorize the news articles based on the crime category, geolocate the crime events, detect the date of the event, and identify some features (e.g. what has been stolen during the theft). A Java application has been developed for the analysis of news articles, the extraction of semantic information through the use of NLP techniques, and the connection of entities to Linked Data. The emerging technology of Word Embeddings has been employed for the text categorization, while the Question Answering through BERT has been used for extracting the 5W+1H. The news articles referring to the same event have been identified through the application of cosine similarity to the shingles of the news articles' text. Finally, a tool has been developed to show the geolocalized events and provide some statistics and annual reports. This is the only project in Italy that starting from news articles tries to provide analyses on crimes and makes them available through a visualization tool.
Wonta, Yonatan. "Performance analysis and modeling of FCIP san traffic in mixed priority IP traffics". Thesis, Wichita State University, 2012. http://hdl.handle.net/10057/5544.
Texto completoThesis (M.S.)--Wichita State University, College of Engineering, Dept. of Electrical Engineering and Computer Science
GRIMAUDO, LUIGI. "Data Mining Algorithms for Internet Data: from Transport to Application Layer". Doctoral thesis, Politecnico di Torino, 2014. http://hdl.handle.net/11583/2537089.
Texto completoLindberg, Gunnar. "Valuation and pricing of traffic safety /". Örebro : Universitetsbiblioteket : Örebro University, 2006. http://urn.kb.se/resolve?urn=urn:nbn:se:oru:diva-787.
Texto completoCaldwell, Sean W. "On Traffic Analysis of 4G/LTE Traffic". Cleveland State University / OhioLINK, 2021. http://rave.ohiolink.edu/etdc/view?acc_num=csu1632179249187618.
Texto completoRuffing, Nicholas Luke. "Analysis of Smartphone Traffic". Cleveland State University / OhioLINK, 2015. http://rave.ohiolink.edu/etdc/view?acc_num=csu1430150923.
Texto completoWegner, Douglas Michael. "AMCROSS message traffic analysis". Master's thesis, This resource online, 1996. http://scholar.lib.vt.edu/theses/available/etd-12232009-020318/.
Texto completoDe, Albuquerque Filho Emilio Alverne Falcão. "Analysis of airspace traffic structure and air traffic control techniques". Thesis, Massachusetts Institute of Technology, 2012. http://hdl.handle.net/1721.1/76097.
Texto completoCataloged from PDF version of thesis.
Includes bibliographical references (p. 157-163).
Air traffic controller cognitive processes are a limiting factor in providing safe and efficient flow of traffic. Therefore, there has been work in understanding the factors that drive controllers decision-making processes. Prior work has identified that the airspace structure, defined by the reference elements, procedural elements and pattern elements of the traffic, is important for abstraction and management of the traffic. This work explores in more detail this relationship between airspace structure and air traffic controller management techniques. This work looks at the current National Airspace System (NAS) and identifies different types of high altitude sectors, based on metrics that are likely to correlate with tasks that controllers have to perform. Variations of structural patterns, such as flows and critical points were also observed. These patterns were then related to groupings by origins and destinations of the traffic. Deeper pilot-controller voice communication analysis indicated that groupings by flight plan received consistent and repeatable sequences of commands, which were identified as techniques. These repeated modifications generated patterns in the traffic, which were naturally associated with the standard flight plan groupings and their techniques. The identified relationship between flight plan groupings and management techniques helps to validate the grouping structure-base abstraction introduced by Histon and Hansman (2008). This motivates the adoption of a grouping-focused analysis of traffic structures on the investigation of how new technologies, procedures and concepts of operations will impact the way controllers manage the traffic. Consideration of such mutual effects between structure and controllers' cognitive processes should provide a better foundation for training and for engineering decisions that include a human-centered perspective.
by Emilio Alverne Falcão de Albuquerque Filho.
S.M.
Shi, Ping. "WWW traffic analysis and simulation". Thesis, National Library of Canada = Bibliothèque nationale du Canada, 1998. http://www.collectionscanada.ca/obj/s4/f2/dsk2/ftp01/MQ35527.pdf.
Texto completoLibros sobre el tema "Traffic analysi"
American Telephone and Telegraph Company., ed. Basic traffic analysis. Englewood Cliffs, N.J: Prentice Hall, 1994.
Buscar texto completoUnited States. Federal Highway Administration. Office of Research, Development, and Technology. Traffic analysis toolbox. McLean, VA: U.S. Dept. of Transportation, Federal Highway Administration, Research, Development, and Technology, 2004.
Buscar texto completoUnited States. Federal Highway Administration. Office of Research, Development, and Technology., ed. Traffic analysis toolbox. McLean, VA: U.S. Department of Transportation, Federal Highway Administration, Research, Development, and Technology, 2004.
Buscar texto completoFletcher, Peter, Alex Poon, Ben Pearce y Peter Comber. Practical Web Traffic Analysis. Berkeley, CA: Apress, 2002. http://dx.doi.org/10.1007/978-1-4302-5366-2.
Texto completoSteiner, Moritz, Pere Barlet-Ros y Olivier Bonaventure, eds. Traffic Monitoring and Analysis. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-17172-2.
Texto completoDainotti, Alberto, Anirban Mahanti y Steve Uhlig, eds. Traffic Monitoring and Analysis. Berlin, Heidelberg: Springer Berlin Heidelberg, 2014. http://dx.doi.org/10.1007/978-3-642-54999-1.
Texto completoDomingo-Pascual, Jordi, Yuval Shavitt y Steve Uhlig, eds. Traffic Monitoring and Analysis. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-20305-3.
Texto completoPescapè, Antonio, Luca Salgarelli y Xenofontas Dimitropoulos, eds. Traffic Monitoring and Analysis. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-28534-9.
Texto completoPapadopouli, Maria, Philippe Owezarski y Aiko Pras, eds. Traffic Monitoring and Analysis. Berlin, Heidelberg: Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-642-01645-5.
Texto completoRicciato, Fabio, Marco Mellia y Ernst Biersack, eds. Traffic Monitoring and Analysis. Berlin, Heidelberg: Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-12365-8.
Texto completoCapítulos de libros sobre el tema "Traffic analysi"
Gazis, Denos C. "Traffic Analysis". En Encyclopedia of Operations Research and Management Science, 1564–70. Boston, MA: Springer US, 2013. http://dx.doi.org/10.1007/978-1-4419-1153-7_1054.
Texto completoWeik, Martin H. "traffic analysis". En Computer Science and Communications Dictionary, 1803. Boston, MA: Springer US, 2000. http://dx.doi.org/10.1007/1-4020-0613-6_19817.
Texto completoCoull, Scott E. "Traffic Analysis". En Encyclopedia of Cryptography and Security, 1311–13. Boston, MA: Springer US, 2011. http://dx.doi.org/10.1007/978-1-4419-5906-5_120.
Texto completoTreiber, Martin y Arne Kesting. "Stability Analysis". En Traffic Flow Dynamics, 257–301. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-32460-4_15.
Texto completoMuhlrad, Nicole, Gilles Vallet, Ilona Butler, Victoria Gitelman, Etti Doveh, Emmanuelle Dupont, Heike Martensen et al. "Analysis of Road Safety Management Systems in Europe". En Traffic Safety, 1–17. Hoboken, NJ, USA: John Wiley & Sons, Inc., 2016. http://dx.doi.org/10.1002/9781119307853.ch1.
Texto completoSalter, R. J. "Traffic assignment". En Highway Traffic Analysis and Design, 63–70. London: Macmillan Education UK, 1996. http://dx.doi.org/10.1007/978-1-349-13423-6_9.
Texto completoSalter, R. J. "Traffic assignment". En Highway Traffic Analysis and Design, 64–69. London: Macmillan Education UK, 1989. http://dx.doi.org/10.1007/978-1-349-20014-6_9.
Texto completoFoley, Alan y Bob Regan. "Web Traffic Analysis". En The Web Professional’s Handbook, 372–93. Berkeley, CA: Apress, 2003. http://dx.doi.org/10.1007/978-1-4302-5362-4_12.
Texto completoFernandez, Rodrigo, Muhammad Haroon Yousaf, Timothy J. Ellis, Zezhi Chen y Sergio A. Velastin. "Traffic Flow Analysis". En Computer Vision and Imaging in Intelligent Transportation Systems, 131–62. Chichester, UK: John Wiley & Sons, Ltd, 2017. http://dx.doi.org/10.1002/9781118971666.ch6.
Texto completoMarczak, Florian, Winnie Daamen y Christine Buisson. "Empirical Analysis of Lane Changing Behavior at a Freeway Weaving Section". En Traffic Management, 139–51. Hoboken, NJ, USA: John Wiley & Sons, Inc., 2016. http://dx.doi.org/10.1002/9781119307822.ch10.
Texto completoActas de conferencias sobre el tema "Traffic analysi"
Babic, Dario, Darko Babic y Andelko Šcukanec. "The Impact of Road Familiarity on the Perception of Traffic Signs – Eye Tracking Case Study". En Environmental Engineering. VGTU Technika, 2017. http://dx.doi.org/10.3846/enviro.2017.131.
Texto completo"[Front matter]". En 2017 Network Traffic Measurement and Analysis Conference (TMA). IEEE, 2017. http://dx.doi.org/10.23919/tma.2017.8002895.
Texto completoGonzalez, Roberto, Lili Jiang, Mohamed Ahmed, Miriam Marciel, Ruben Cuevas, Hassan Metwalley y Saverio Niccolini. "The cookie recipe: Untangling the use of cookies in the wild". En 2017 Network Traffic Measurement and Analysis Conference (TMA). IEEE, 2017. http://dx.doi.org/10.23919/tma.2017.8002896.
Texto completoGrailet, Jean-Francois y Benoit Donnet. "Towards a renewed alias resolution with space search reduction and IP fingerprinting". En 2017 Network Traffic Measurement and Analysis Conference (TMA). IEEE, 2017. http://dx.doi.org/10.23919/tma.2017.8002907.
Texto completoWachs, Matthias, Quirin Scheitle y Georg Carle. "Push away your privacy: Precise user tracking based on TLS client certificate authentication". En 2017 Network Traffic Measurement and Analysis Conference (TMA). IEEE, 2017. http://dx.doi.org/10.23919/tma.2017.8002897.
Texto completoTraverso, Stefano, Martino Trevisan, Leonardo Giannantoni, Marco Mellia y Hassan Metwalley. "Benchmark and comparison of tracker-blockers: Should you trust them?" En 2017 Network Traffic Measurement and Analysis Conference (TMA). IEEE, 2017. http://dx.doi.org/10.23919/tma.2017.8002898.
Texto completoManzoor, Jawad, Idilio Drago y Ramin Sadre. "How HTTP/2 is changing web traffic and how to detect it". En 2017 Network Traffic Measurement and Analysis Conference (TMA). IEEE, 2017. http://dx.doi.org/10.23919/tma.2017.8002899.
Texto completoYeganeh, Bahador, Reza Rejaie y Walter Willinger. "A view from the edge: A stub-AS perspective of traffic localization and its implications". En 2017 Network Traffic Measurement and Analysis Conference (TMA). IEEE, 2017. http://dx.doi.org/10.23919/tma.2017.8002900.
Texto completoScheitle, Quirin, Oliver Gasser, Minoo Rouhi y Georg Carle. "Large-scale classification of IPv6-IPv4 siblings with variable clock skew". En 2017 Network Traffic Measurement and Analysis Conference (TMA). IEEE, 2017. http://dx.doi.org/10.23919/tma.2017.8002901.
Texto completoShah, Anant, Romain Fontugne, Emile Aben, Cristel Pelsser y Randy Bush. "Disco: Fast, good, and cheap outage detection". En 2017 Network Traffic Measurement and Analysis Conference (TMA). IEEE, 2017. http://dx.doi.org/10.23919/tma.2017.8002902.
Texto completoInformes sobre el tema "Traffic analysi"
Newman, Richard E., Ira S. Moskowitz, Paul Syverson y Andrei Serjantov. Metrics for Traffic Analysis Prevention. Fort Belvoir, VA: Defense Technical Information Center, enero de 2003. http://dx.doi.org/10.21236/ada465471.
Texto completoLakhina, Anukool, Konstantina Papagiannaki, Mark Crovella, Christophe Diot, Eric D. Kolaczyk y Nina Taft. Structural Analysis of Network Traffic Flows. Fort Belvoir, VA: Defense Technical Information Center, noviembre de 2003. http://dx.doi.org/10.21236/ada439086.
Texto completoCrovella, Mark y Eric Kolaczyk. Graph Wavelets for Spatial Traffic Analysis. Fort Belvoir, VA: Defense Technical Information Center, julio de 2002. http://dx.doi.org/10.21236/ada442573.
Texto completoParker, Jr, Mosca Raymond y Carl. Preliminary First Destination Guaranteed Traffic Cost Analysis. Fort Belvoir, VA: Defense Technical Information Center, marzo de 1986. http://dx.doi.org/10.21236/ada170706.
Texto completoLee, Daniel C. Reliability Analysis of Networks Carrying Critical Mission Traffic. Fort Belvoir, VA: Defense Technical Information Center, enero de 1998. http://dx.doi.org/10.21236/ada336880.
Texto completoLiu, Hongrui y Rahul Ramachandra Shetty. Analytical Models for Traffic Congestion and Accident Analysis. Mineta Transportation Institute, noviembre de 2021. http://dx.doi.org/10.31979/mti.2021.2102.
Texto completoBenke, G., J. Brandt, H. Chen, S. Dastangoo y G. J. Miller. Performance analysis of ATM ABR service under self-similar traffic in the presence of background VBR traffic. Office of Scientific and Technical Information (OSTI), mayo de 1996. http://dx.doi.org/10.2172/373938.
Texto completoLam, Warren M. y Gregory W. Wornell. Multiscale Analysis and Control of Networks with Fractal Traffic. Fort Belvoir, VA: Defense Technical Information Center, octubre de 1998. http://dx.doi.org/10.21236/ada457839.
Texto completoMears, Brad. Advanced Traffic Management Systems (ATMS) Research Analysis Database System. Fort Belvoir, VA: Defense Technical Information Center, junio de 2001. http://dx.doi.org/10.21236/ada388177.
Texto completoRinghand, Madlen, Maximilian Bäumler, Christian Siebke, Marcus Mai y Felix Elrod. Report on validation of the stochastic traffic simulation (Part A). Technische Universität Dresden, 2021. http://dx.doi.org/10.26128/2021.242.
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