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- Abbas Ali, Syed
(författare)
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WCET Analysis and Certification of Automatically Generated Code for CC-Systems AB
- 2007
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Rapport (övrigt vetenskapligt)abstract
- In industry, certification of safety critical computer system is aiming to improve and project the safety of critical systems by following standards of design, development and manufacturing with professional responsibility.In the process of attaining certification we come across with different issues from inception till decommissioning, like which standard or standards are available and fit for product. Is process based certification enough for assuring system performance/reliability? What about legacy systems and how to certify them? Does the use of automated tools and code generation affect the certification? Which non-functional properties are useful for certification? Last but not least how useful is WCET analysis for certification along with the legal aspects of certification on component supplier, and metric for reliability?A case study of bridge panelÇs subsystem has been considered to suggest the solution of the above issues using the standards IEC 61508 and IEC 60945. IEC 61508 is a generic standard, but for safety industryÇs own standard are recommended. The targeted Safety Integrity Level for this product is SIL level 2, with respect to the software requirement.Certification does not guarantee, but they increases the chance that the product developed using the standards will be a safer product. The regulatory body also needed to be credible as it plays an important role by determining conformance with the standard and detail of the system.
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| 2. |
- Abelli, Björn, 1961-
(författare)
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On Stage! Playwriting, Directing and Enacting the Informing Processes
- 2007
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Doktorsavhandling (övrigt vetenskapligt)abstract
- Within the discipline of information systems sometimes the conception of the main object is that the information system must be computer based. An example of an information system that is non-computer based is the scenic theatre performance. Input is the message or knowledge the participants of the theatre production want to pass over to the audience; output is the information and experiences the performance in itself mediates to the audience. This has been produced through a system development process; although the developers not always have been aware about what development model has been used.The dissertation combines some of the concepts found in theatre production with traditional system development concepts, and hence introduces new perspectives into the area of information systems. Some of the main findings in the study of theatre productions were the triplicity of a theatre production as a development process, an information system and an organization at the same time; the integrated relations of context, developers and users, which leads to spontaneous changes and overlaps of development roles; and the narrative and dramaturgical approach in the practical use of methods and techniques.These aspects should be useful also in development of other types of information systems, whether computer based or using other information technologies. The triplicity gives arguments to redefine each of these concepts. The generalizability of this approach has been validated through a second study, at a folk high school, which showed that models and concepts from theatre productions are possible to generalize to other information system areas than theatre, and that the borders of the organization coincides with the borders of the information system. Especially temporary organizations must be seen as ongoing, continuous development processes.
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| 5. |
- Abrahamsson, Henrik
(författare)
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Network overload avoidance by traffic engineering and content caching
- 2012
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Doktorsavhandling (övrigt vetenskapligt)abstract
- The Internet traffic volume continues to grow at a great rate, now driven by video and TV distribution. For network operators it is important to avoid congestion in the network, and to meet service level agreements with their customers. This thesis presents work on two methods operators can use to reduce links loads in their networks: traffic engineering and content caching.This thesis studies access patterns for TV and video and the potential for caching. The investigation is done both using simulation and by analysis of logs from a large TV-on-Demand system over four months.The results show that there is a small set of programs that account for a large fraction of the requests and that a comparatively small local cache can be used to significantly reduce the peak link loads during prime time. The investigation also demonstrates how the popularity of programs changes over time and shows that the access pattern in a TV-on-Demand system very much depends on the content type.For traffic engineering the objective is to avoid congestion in the network and to make better use of available resources by adapting the routing to the current traffic situation. The main challenge for traffic engineering in IP networks is to cope with the dynamics of Internet traffic demands.This thesis proposes L-balanced routings that route the traffic on the shortest paths possible but make sure that no link is utilised to more than a given level L. L-balanced routing gives efficient routing of traffic and controlled spare capacity to handle unpredictable changes in traffic. We present an L-balanced routing algorithm and a heuristic search method for finding L-balanced weight settings for the legacy routing protocols OSPF and IS-IS. We show that the search and the resulting weight settings work well in real network scenarios.
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| 6. |
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| 7. |
- Abut, Hüseyin, et al.
(författare)
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Real-World Data Collection with UYANIK
- 2009
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Ingår i: Vehicle Corpus and Signal Processing for Driver Behavior. - 978-0-387-79581-2 (Print) 978-0-387-79582-9 (Online)
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Bokkapitel (övrigt vetenskapligt)
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| 8. |
- Ahmed, Mobyen Uddin
(författare)
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A case-based multi-modal clinical system for stress management
- 2010
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Licentiatavhandling (övrigt vetenskapligt)abstract
- A difficult issue in stress management is to use biomedical sensor signal in the diagnosis and treatment of stress. Clinicians often make their diagnosis and decision based on manual inspection of physiological signals such as, ECG, heart rate, finger temperature etc. However, the complexity associated with manual analysis and interpretation of the signals makes it difficult even for experienced clinicians. Today the diagnosis and decision is largely dependent on how experienced the clinician is interpreting the measurements. A computer-aided decision support system for diagnosis and treatment of stress would enable a more objective and consistent diagnosis and decisions.A challenge in the field of medicine is the accuracy of the system, it is essential that the clinician is able to judge the accuracy of the suggested solutions. Case-based reasoning systems for medical applications are increasingly multi-purpose and multi-modal, using a variety of different methods and techniques to meet the challenges of the medical domain. This research work covers the development of an intelligent clinical decision support system for diagnosis, classification and treatment in stress management. The system uses a finger temperature sensor and the variation in the finger temperature is one of the key features in the system. Several artificial intelligence techniques have been investigated to enable a more reliable and efficient diagnosis and treatment of stress such as case-based reasoning, textual information retrieval, rule-based reasoning, and fuzzy logic. Functionalities and the performance of the system have been validated by implementing a research prototype based on close collaboration with an expert in stress. The case base of the implemented system has been initiated with 53 reference cases classified by an experienced clinician. A case study also shows that the system provides results close to a human expert. The experimental results suggest that such a system is valuable both for less experienced clinicians and for experts where the system may function as a second option.
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| 9. |
- Ahmed, Mobyen Uddin, et al.
(författare)
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A Computer Aided System for Post-operative Pain Treatment Combining Knowledge Discovery and Case-Based Reasoning
- 2012
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Ingår i: Lecture Notes in Computer Science, vol. 7466. - Springer. - 978-364232985-2 ; s. 3-16
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Bokkapitel (övrigt vetenskapligt)abstract
- The quality improvement for individual postoperative-pain treatment is an important issue. This paper presents a computer aided system for physicians in their decision making tasks in post-operative pain treatment. Here, the system combines a Case-Based Reasoning (CBR) approach with knowledge discovery. Knowledge discovery is applied in terms of clustering in order to identify the unusual cases. We applied a two layered case structure for case solutions i.e. the treatment is in the first layer and outcome after treatment (i.e. recovery of the patient) is in the second layer. Moreover, a 2nd order retrieval approach is applied in the CBR retrieval step in order to retrieve the most similar cases. The system enables physicians to make more informed decisions since they are able to explore similar both regular and rare cases of post-operative patients. The two layered case structure is moving the focus from diagnosis to outcome i.e. the recovery of the patient, something a physician is especially interested in, including the risk of complications and side effects.
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| 10. |
- Ahmed, Mobyen Uddin, 1976-
(författare)
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A Multimodal Approach for Clinical Diagnosis and Treatment
- 2011
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Doktorsavhandling (övrigt vetenskapligt)abstract
- A computer-aided Clinical Decision Support System (CDSS) for diagnosis and treatment often plays a vital role and brings essential benefits for clinicians. Such a CDSS could function as an expert for a less experienced clinician or as a second option/opinion of an experienced clinician to their decision making task. Nevertheless, it has been a real challenge to design and develop such a functional system where accuracy of the system performance is an important issue.This research work focuses on development of intelligent CDSS based on a multimodal approach for diagnosis, classification and treatment in medical domains i.e. stress and post-operative pain management domains. Several Artificial Intelligence (AI) techniques such as Case-Based Reasoning (CBR), textual Information Retrieval (IR), Rule-Based Reasoning (RBR), Fuzzy Logic and clustering approaches have been investigated in this thesis work.Patient’s data i.e. their stress and pain related information are collected from complex data sources for instance, finger temperature measurements through sensor signals, pain measurements using a Numerical Visual Analogue Scale (NVAS), patient’s information from text and multiple choice questionnaires. The proposed approach considers multimedia data management to be able to use them in CDSSs for both the domains.The functionalities and performance of the systems have been evaluated based on close collaboration with experts and clinicians of the domains. In stress management, 68 measurements from 46 subjects and 1572 patients’ cases out of ≈4000 in post-operative pain have been used to design, develop and validate the systems. In the stress management domain, besides the 68 measurement cases, three trainees and one senior clinician also have been involved in order to conduct the experimental work. The result from the evaluation shows that the system reaches a level of performance close to the expert and better than the senior and trainee clinicians. Thus, the proposed CDSS could be used as an expert for a less experienced clinician (i.e. trainee) or as a second option/opinion for an experienced clinician (i.e. senior) to their decision making process in stress management. In post-operative pain treatment, the CDSS retrieves and presents most similar cases (e.g. both rare and regular) with their outcomes to assist physicians. Moreover, an automatic approach is presented in order to identify rare cases and 18% of cases from the whole cases library i.e. 276 out of 1572 are identified as rare cases by the approach. Again, among the rare cases (i.e. 276), around 57.25% of the cases are classified as ‘unusually bad’ i.e. the average pain outcome value is greater or equal to 5 on the NVAS scale 0 to 10. Identification of rear cases is an important part of the PAIN OUT project and can be used to improve the quality of individual pain treatment.
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