ANALYSIS & STUDY OF AI TECHNIQUES FORAUTOMATIC CONDITION MONITORING OFRAILWAY TRACK INFRASTRUCTURE : Artificial Intelligence Techniques

Since the last decade the problem of surface inspection has been receiving great attention from the scientific community, the quality control and the maintenance of products are key points in several industrial applications.The railway associations spent much money to check the railway infrastructure. The railway infrastructure is a particular field in which the periodical surface inspection can help the operator to prevent critical situations. The maintenance and monitoring of this infrastructure is an important aspect for railway association.That is why the surface inspection of railway also makes importance to the railroad authority to investigate track components, identify problems and finding out the way that how to solve these problems. In railway industry, usually the problems find in railway sleepers, overhead, fastener, rail head, switching and crossing and in ballast section as well. In this thesis work, I have reviewed some research papers based on AI techniques together with NDT techniques which are able to collect data from the test object without making any damage. The research works which I have reviewed and demonstrated that by adopting the AI based system, it is almost possible to solve all the problems and this system is very much reliable and efficient for diagnose problems of this transportation domain. I have reviewed solutions provided by different companies based on AI techniques, their products and reviewed some white papers provided by some of those companies. AI based techniques likemachine vision, stereo vision, laser based techniques and neural network are used in most cases to solve the problems which are performed by the railway engineers.The problems in railway handled by the AI based techniques performed by NDT approach which is a very broad, interdisciplinary field that plays a critical role in assuring that structural components and systems perform their function in a reliable and cost effective fashion. The NDT approach ensures the uniformity, quality and serviceability of materials without causing any damage of that materials is being tested. This testing methods use some way to test product like, Visual and Optical testing, Radiography, Magnetic particle testing, Ultrasonic testing, Penetrate testing, electro mechanic testing and acoustic emission testing etc. The inspection procedure has done periodically because of better maintenance. This inspection procedure done by the railway engineers manually with the aid of AI based techniques.The main idea of thesis work is to demonstrate how the problems can be reduced of thistransportation area based on the works done by different researchers and companies. And I have also provided some ideas and comments according to those works and trying to provide some proposal to use better inspection method where it is needed.The scope of this thesis work is automatic interpretation of data from NDT, with the goal of detecting flaws accurately and efficiently. AI techniques such as neural networks, machine vision, knowledge-based systems and fuzzy logic were applied to a wide spectrum of problems in this area. Another scope is to provide an insight into possible research methods concerning railway sleeper, fastener, ballast and overhead inspection by automatic interpretation of data.In this thesis work, I have discussed about problems which are arise in railway sleepers,fastener, and overhead and ballasted track. For this reason I have reviewed some research papers related with these areas and demonstrated how their systems works and the results of those systems. After all the demonstrations were taking place of the advantages of using AI techniques in contrast with those manual systems exist previously.This work aims to summarize the findings of a large number of research papers deploying artificial intelligence (AI) techniques for the automatic interpretation of data from nondestructive testing (NDT). Problems in rail transport domain are mainly discussed in this work. The overall work of this paper goes to the inspection of railway sleepers, fastener, ballast and overhead.

HR-funktionens förändrade roll : En studie om linjechefers uppfattning av HR-funktionen i Falu och Avesta kommun

Traditionellt har HR-arbetet främst varit fokuserat på administrativa uppgifter och inte ansetts vara tillräckligt effektivt och värdeskapande. För att HR-arbetet ska bli mer strategiskt behöver funktionen organiseras så att den tillgodoser dessa behov (Boglind et al, 2013). Vi menar att HR-funktionens relation till ledare och linjechefer är avgörande för hur framgångsrikt deras arbete blir. Syftet med detta arbete är därför att undersöka hur chefer uppfattar HR-funktionens förändrade roll och vilken typ av stöd de förväntar sig av den. Vi vill också undersöka om uppfattningen av HR-funktionen skiljer sig åt beroende på hur den är organiserad. Undersökningen är baserad på en multipel fallstudie utförd på Falu och Avesta kommun. Totalt har tretton djupintervjuer genomförts, där fem personer representerar HR-avdelningarna och åtta personer representerar linjecheferna. Falu kommun började genomföra en HR-transformation vid årsskiftet 2013/2014, Avesta kommun har inte genomfört en HR-transformation utan har funktionen uppdelad i två team. Av empirin framkommer att linjecheferna i båda kommunerna har en ganska vag uppfattning om HR-funktionens organisation och trots de strukturella skillnaderna mellan kommunerna efterfrågar linjecheferna något mer. I Avesta är samtliga respondenter överens om att en samsyn kring HR-funktionens arbetsuppgifter inte finns på grund av att en tydlig strategi för HR-funktionen saknas. Cheferna i Avesta efterfrågar ett arbete med personalfrågor från grunden samt ett mer strategiskt arbete. I Falun visar empirin att linjechefer och HR-personer har olika åsikter kring huruvida det finns en samsyn. Även om flera linjechefer i Falun anser att HR-funktionen fungerar bättre efter transformationen efterfrågar samtliga en kontakt med en specifik HR-person istället för att kontakta ett HR-center. Trots att de organisationer vi studerat har HR-funktioner som skiljer sig åt i storlek och struktur kan vi konstatera många likheter. Vi drar därför slutsatsen att de problem som linjecheferna beskriver inte är relaterade till HR-avdelningens organisering, utan snarare kan kopplas till en obalans i HR-arbetets inneboende dualitet som uppstått i och med ett mer strategiskt fokus. Vi anser att båda kommunernas HR-funktioner bör ha en tydlig och kontinuerlig dialog med linjecheferna för att maximera värdeskapandet dem emellan. Sammanfattningsvis menar vi att kommunerna bör lägga fokus på att identifiera vilka aspekter av personalarbetet som är värdefulla och unika för just deras organisation samt arbeta strategiskt utifrån dessa.

Gravitational self-localization for spherical masses

In this work, I consider the center-of-mass wave function for a homogenous sphere under the influence of the self-interaction due to Newtonian gravity. I solve for the ground state numerically and calculate the average radius as a measure of its size. For small masses, M≲10−17 kg, the radial size is independent of density, and the ground state extends beyond the extent of the sphere. For masses larger than this, the ground state is contained within the sphere and to a good approximation given by the solution for an effective radial harmonic-oscillator potential. This work thus determines the limits of applicability of the point-mass Newton Schrödinger equations for spherical masses. In addition, I calculate the fringe visibility for matter-wave interferometry and find that in the low-mass case, interferometry can in principle be performed, whereas for the latter case, it becomes impossible. Based on this, I discuss this transition as a possible boundary for the quantum-classical crossover, independent of the usually evoked environmental decoherence. The two regimes meet at sphere sizes R≈10−7 m, and the density of the material causes only minor variations in this value.

Effective measures to decrease air contaminants through risk and control visualization : a study of the effective use of QR codes to facilitate safety training

Woodworking industries still consists of wood dust problems. Young workers are especially vulnerable to safety risks. To reduce risks, it is important to change attitudes and increase knowledge about safety. Safety training have shown to establish positive attitudes towards safety among employees. The aim of current study is to analyze the effect of QR codes that link to Picture Mix EXposure (PIMEX) videos by analyzing attitudes to this safety training method and safety in student responses. Safety training videos were used in upper secondary school handicraft programs to demonstrate wood dust risks and methods to decrease exposure to wood dust. A preliminary study was conducted to investigate improvement of safety training in two schools in preparation for the main study that investigated a safety training method in three schools. In the preliminary study the PIMEX method was first used in which students were filmed while wood dust exposure was measured and subsequently displayed on a computer screen in real time. Before and after the filming, teachers, students, and researchers together analyzed wood dust risks and effective measures to reduce exposure to them. For the main study, QR codes linked to PIMEX videos were attached at wood processing machines. Subsequent interviews showed that this safety training method enables students in an early stage of their life to learn about risks and safety measures to control wood dust exposure. The new combination of methods can create awareness, change attitudes and motivation among students to work more frequently to reduce wood dust.