Sökning: "traffic classification"

Visar resultat 1 - 5 av 69 avhandlingar innehållade orden traffic classification.

1. 1. Characterization and Classification of Internet Backbone Traffic

   Författare :Wolfgang John; Chalmers tekniska högskola; []
   Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; Characterization; Measurement; Backbone; Internet; Classification; Traffic; Passive;

   Sammanfattning : We contribute to an improved understanding of Internet traffic characteristics by measuring and analyzing modern Internet backbone data. We start the thesis with an overview of several important considerations for passive Internet traffic collection on large-scale network links. LÄS MER

3. 2. On Measurement and Analysis of Internet Backbone Traffic

   Författare :Wolfgang John; Chalmers tekniska högskola; []
   Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; Packet Header; Internet Backbone; Header Anomaly; Malicious Traffic; Connection Behavior; Peer-to-Peer; Measurement; Passive; Classification; Traffic Analysis;

   Sammanfattning : In the last decade, the Internet emerged undoubtedly as the key component for commercialand personal communication. The success of the Internet is mainly based on its versatilityand flexibility, allowing for the development of network applications ranging from simpletext based utilities to complex systems for e-commerce and multi-media content. LÄS MER

4. 3. Modelling of Traffic Loads on Bridges Based on Measurements of Real Traffic Loads in Sweden

   Författare :Fredrik Carlsson; Avdelningen för Konstruktionsteknik; []
   Nyckelord :TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; heavy vehicles; traffic intensity; Peaks Over Thresholds; axle and bogie pressure; traffic load effects; probability based classification; Technological sciences; Teknik;

   Sammanfattning : This thesis treats traffic load effects in road bridges and in particular bending moment and shear force in different types of bridges. All traffic load effects are described in terms of statistical distribution functions for annual extreme values. LÄS MER

5. 4. Towards Smart Maintenance : Machine-Learning Based Prediction of Retroreflectivity and Color of Road Traffic Signs

   Författare :Roxan Saleh; Hasan Fleyeh; Moudud Alam; Arend Hintze; Darko Babic; Högskolan Dalarna; []
   Nyckelord :TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Road traffic signs; Retroreflectivity; Chromaticity; Maintenance; Predictive models; classification; Survival analysis; Kaplan Estimator; Machine Learning;

   Sammanfattning : Proper maintenance of road traffic signs is vital for safety, as their low visibility can cause accidents and fatalities. Many countries, including Sweden, lack a systematic approach for replacing signs due to the risky, costly, and complex methods needed to measure their color and retroreflectivity. LÄS MER

7. 5. Traffic and Road Sign Recognition

   Författare :Hasan Fleyeh; Högskolan Dalarna; []
   Nyckelord :Traffic signs; color segmentation; recognition;

   Sammanfattning : This thesis presents a system to recognise and classify road and traffic signs for the purpose of developing an inventory of them which could assist the highway engineers’ tasks of updating and maintaining them. It uses images taken by a camera from a moving vehicle. LÄS MER