National Repository of Grey Literature 13 records found  previous11 - 13  jump to record: Search took 0.01 seconds. 
Modelling potential distribution of invasive plants Indigo bush (Amorpha fruticosa) and Goji berry (Lycium barbarum) in the Czech Republic
Müllerová, Soňa ; Moudrý, Vítězslav (advisor) ; Barták, Vojtěch (referee)
Biological invasions are currently considered to be one of the major threats to biodiversity. Invasive species are introduced species naturalized in regions outside their native range with both ecological and economic impact known from many regions all over the world. In the Czech Republic, vascular plants constitute a major group of invasive species. They are characterized by the ability to adapt, spread and occupy new sites. Early identification of potentially dangerous species constitute a possible way to prevent further spread. This bachelor thesis presents the use of species distribution modelling technique as a tool for assessing invasive potential and predicting species invasions. The aim was to create the model of invasive shrub species Indigo bush (Amorpha fruticosa) and Goji berry (Lycium barbarum) potential distribution in the Czech Republic and explore the significance of each predictor variable including variables derived from digital elevation model. Models were created in the resolution of 100 m using Maxent method based on presence-only data and ten predictor variables including three topographic variables: elevation, slope and aspect. The results show that the most significant variables for both species are elevation, land cover which is the most important one for Amorpha fruticosa, and temperature annual range. Slope variable is significant for Lycium barbarum. Aspect is not significant. In terms of AUC discrimination measure, high values were achived for both species. AUC value for Amorpha fruticosa is 0,961 and 0,906 for Lycium barbarum. However, the realism and quality of the model is significantly influenced by the stage of invasion and also by complexity and accuracy of input data.
Application Specific Processor for Stateful Network Traffic Processing
Kučera, Jan ; Matoušek, Jiří (referee) ; Kekely, Lukáš (advisor)
This bachelor's thesis deals with the design and implementation of an application-specific processor for high-speed network traffic processing. The main goal is to provide complex system for hardware acceleration of various network security and monitoring applications. The application-specific processor (hardware part of the system) is implemented on an FPGA card and has been designed with respect to be used in 100 Gbps networks. The design is based on the unique combination of high-speed hardware processing and flexible software control using a new concept called Software Defined Monitoring (SDM). The performance and throughput of the proposed system has been verified and measured.
Fast Detection of Application Protocols
Grochol, David ; Vašíček, Zdeněk (referee) ; Sekanina, Lukáš (advisor)
Master thesis is focused on classification of application protocols based on application data taken from layer L7 of ISO/OSI model. The aim of the thesis is to suggest a classifier for SDM system (Software defined monitoring) so it could be used for links with throughput up to 100 Gb/s. At the same time it should classify with the fewest possible errors.Designed classifier consists of two parts. First part depicts encoders for encoding selected attributes. Second part deals with evaluating circuit which detects series characteristic for particular application protocols on the output from the first part. Considered attributes and series are taken from statistic analyzes of application protocol data.The classifier itself is designed so it can be implemented in FPGA and enables modification set of application protocols who intended for classification. The quality of  designed classifier is tested on real network data. The results of classification are compared with current methods used for classification of application protocols.

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