Automating condition monitoring of vegetation on railway trackbeds and embankments

Vegetation growing on railway trackbeds and embankments present potential problems. The presence of vegetation threatens the safety of personnel inspecting the railway infrastructure. In addition vegetation growth clogs the ballast and results in inadequate track drainage which in turn could lead to the collapse of the railway embankment. Assessing vegetation within the realm of railway maintenance is mainly carried out manually by making visual inspections along the track. This is done either on-site or by watching videos recorded by maintenance vehicles mainly operated by the national railway administrative body. A need for the automated detection and characterisation of vegetation on railways (a subset of vegetation control/management) has been identified in collaboration with local railway maintenance subcontractors and Trafikverket, the Swedish Transport Administration (STA). The latter is responsible for long-term planning of the transport system for all types of traffic, as well as for the building, operation and maintenance of public roads and railways. The purpose of this research project was to investigate how vegetation can be measured and quantified by human raters and how machine vision can automate the same process. Data were acquired at railway trackbeds and embankments during field measurement experiments. All field data (such as images) in this thesis work was acquired on operational, lightly trafficked railway tracks, mostly trafficked by goods trains. Data were also generated by letting (human) raters conduct visual estimates of plant cover and/or count the number of plants, either on-site or in-house by making visual estimates of the images acquired from the field experiments. Later, the degree of reliability of(human) raters’ visual estimates were investigated and compared against machine vision algorithms. The overall results of the investigations involving human raters showed inconsistency in their estimates, and are therefore unreliable. As a result of the exploration of machine vision, computational methods and algorithms enabling automatic detection and characterisation of vegetation along railways were developed. The results achieved in the current work have shown that the use of image data for detecting vegetation is indeed possible and that such results could form the base for decisions regarding vegetation control. The performance of the machine vision algorithm which quantifies the vegetation cover was able to process 98% of the im-age data. Investigations of classifying plants from images were conducted in in order to recognise the specie. The classification rate accuracy was 95%.Objective measurements such as the ones proposed in thesis offers easy access to the measurements to all the involved parties and makes the subcontracting process easier i.e., both the subcontractors and the national railway administration are given the same reference framework concerning vegetation before signing a contract, which can then be crosschecked post maintenance.A very important issue which comes with an increasing ability to recognise species is the maintenance of biological diversity. Biological diversity along the trackbeds and embankments can be mapped, and maintained, through better and robust monitoring procedures. Continuously monitoring the state of vegetation along railways is highly recommended in order to identify a need for maintenance actions, and in addition to keep track of biodiversity. The computational methods or algorithms developed form the foundation of an automatic inspection system capable of objectively supporting manual inspections, or replacing manual inspections.

Analysis and Evaluation of EndpointSecurity Solutions

The main objective for this degree project was to analyze the Endpoint Security Solutions developed by Cisco, Microsoft and a third minor company solution represented by InfoExpress. The different solutions proposed are Cisco Network Admission Control, Microsoft Network Access Protection and InfoExpress CyberGatekeeper. An explanation of each solution functioning is proposed as well as an analysis of the differences between those solutions. This thesis work also proposes a tutorial for the installation of Cisco Network Admission Control for an easier implementation. The research was done by reading articles on the internet and by experimenting the Cisco Network Admission Control solution. My background knowledge about Cisco routing and ACL was also used. Based on the actual analysis done in this thesis, a conclusion was drawn that all existing solutions are not yet ready for large-scale use in corporate networks. Moreover all solutions are proprietary and incompatible. The future possible standard for Endpoint solution might be driven by Cisco and Microsoft and a rude competition begins between those two giants.

Sothönans ( Fulica atra ) miljökrav vid häckning i utbredningsområdets randzon

In Sweden you will find the coot chiefly in the southern parts. The species winters in the southern part of the Baltic Sea and along the coasts of northern Europe. The number of coots is heavily decreased by harsh winters. The population of the coots in Sweden is estimated to 20 000 to 30 000 pairs. The region of Dalarna is the random zone for the breeding of coots in Sweden . During the summer of 2006 the coot was reported to reproduce in at least 31 lakes and rivers preferably in the southern part of the Dalarna region. From Lake Brunnsjön at least 50 pairs of coots were reported. Lake Brunnsjön is by far the most nutrient rich lake in Dalarna.From the three lakes that are included in the study, namely Lake Glistjärn, Lake Limsjön and Lake Kyrkbytjärn, the water analysis shows high pH values, well-buffered waters and meso- trophic waters.The number of successful breedings was eleven. Lake Glistjärn zero breeding, Lake Limsjön four and Lake Kyrkbytjärn seven breedings. The northernmost lake in Dalarna where breeding occurred is Lake Limsjön.

A study visit to a vitual company

To integrate study visits to different workplaces in higher education implies important benefits for the course quality. The study visit gives the students a better understanding for the real situations they will meet in working life. However for practical and economical reasons is that not always possible. The purpose of this project is to create a virtual company that shall replace the real one for study visits. The goal is to create a realistic picture and that intended use of it can come as close as possible to a real study visit. It is also important to facilitate linking theory and practice. The virtual company is built up by pictures, videos and text. All material is made available on a web page and when entering the students will meet a layout of the company. From that position is it possible to walk around and look at videos from different workstations. Besides that can they also listen to interviews with managers and representatives of staff as well as reading reports concerning productivity and the work environment. The focus of the study visit is work sciences, therefore the material also include some visualized information about work hazards. On the web page there are also a number of tasks for the students to carry out. Until the autumn 2011, 132 students at Dalarna University have visited and produced reports from the virtual company. They were studying in programs for mechanical engineering, production technicians and human resource management. An evaluation among some ten students showed that the study visit to the virtual company is flexible in time and effective, but that students wish to have even more detailed information about the company. Experiences from four years of use in a number of classes show that the concept is worth further development. Furthermore with production of new material the concept is likely to be applicable for other purposes.