Search for dissertations about: "systems automation"
Showing result 1 - 5 of 597 swedish dissertations containing the words systems automation.
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1. On intelligent automation systems
Abstract : Developing automation systems that are capable of handling dynamic and unpredictable situations is a challenging task, as it requires adapting to a changing environment and managing potentially unforeseen action outcomes. In contrast to traditional automation, where control code is explicitly pro- grammed, a model-based approach might be a more appropriate solution for automating such systems. READ MORE
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2. Advancing Automation in Digital Forensic Investigations
Abstract : Digital Forensics is used to aid traditional preventive security mechanisms when they fail to curtail sophisticated and stealthy cybercrime events. The Digital Forensic Investigation process is largely manual in nature, or at best quasi-automated, requiring a highly skilled labour force and involving a sizeable time investment. READ MORE
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3. Representing human-automation challenges
Abstract : Automation technology is widely implemented in process control domains due to its benefits of improving efficiency and enhancing control. However, use of automation also introduces an often complex intermediary between the human and the controlled domain, which can obscure from the operator how system functioning is achieved. READ MORE
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4. Architecting Autonomous Automotive Systems : With an emphasis on Cooperative Driving
Abstract : The increasing usage of electronics and software in a modern automobile enables realization of many advanced features. One such feature is autonomous driving. Autonomous driving means that a human driver’s intervention is not required to drive the automobile; rather, theautomobile is capable of driving itself. READ MORE
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5. Falsification of Signal-Based Specifications for Cyber-Physical Systems
Abstract : In the development of software for modern Cyber-Physical Systems, testing is an integral part that is rightfully given a lot of attention. Testing is done on many different abstraction levels, and especially for large-scale industrial systems, it can be difficult to know when the testing should conclude and the software can be considered correct enough for making its way into production. READ MORE