24-timmars myndigheten, säkerhet, design och definition

Via Internet kan vi sköta många av våra dagliga rutiner. Vi kan handla, betala räkningar, beställa biljetter till diverse evenemang, resor med mera. Även den offentliga sektorn erbjuder alltfler av sina tjänster elektroniskt. Det största hindret för utvecklingen av elektroniska tjänster är den höga säkerhet som måste ställas på exempelvis identifiering och signering. För denna säkerhet kan med fördel PKI, Public Key Infrastructure, användas. Det är en säkerhetsmetod som innebär att man använder privata och publika nycklar. PKI-tekniken skyddar bra mot avlyssning eftersom identifieringen bygger på att ett slumptal krypteras, och att resultatet därför ser olika ut från gång till gång.Socialtjänsten på Borlänge Kommun har påbörjat utvecklingen av en elektronisk tjänst som kommer att innebära att personer som beviljats ekonomiskt bistånd, ska kunna förnya sin ansökan via Internet. Personen i fråga ska även kunna se de uppgifter som Socialtjänsten har ifrån övriga inblandade myndigheter, samt vika utbetalningar som Socialtjänsten gjort och ska göra till personen. I och med detta exjobb kan Borlänge Kommun visa upp en prototyp som fungerar i stort sett som de vill att den skarpa tjänsten ska göraSverige är en av pionjärerna i världen att öppna förvaltningen på Internet, och Borlänge kommun har som en av de första kommunerna i Sverige startat utvecklingen av en tjänst i enlighet med "24-timmars myndigheten".

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.