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Sökning: db:Swepub > Örebro universitet > Mälardalens universitet

  • Resultat 1-10 av 442
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1.
  • Abrahamsson, Gun, 1977-, et al. (författare)
  • Ekonomiska ansvarsenheter
  • 2013. - 1
  • Ingår i: Perspektiv på ekonomistyrning. - Stockholm : Liber. - 9789147096947 ; , s. 14-35
  • Bokkapitel (övrigt vetenskapligt/konstnärligt)
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2.
  • Afshar, Sara, et al. (författare)
  • Resource Sharing among Prioritized Real-Time Applications on Multiprocessors
  • 2015
  • Ingår i: ACM SIGBED Review - Special Issue on the 6th International Workshop on Compositional Theory and Technology for Real-Time Embedded Systems. - : Association for Computing Machinery (ACM). ; , s. 46-55
  • Konferensbidrag (refereegranskat)abstract
    • In this paper, we propose a new protocol for handling resource sharing among prioritized real-time applications composed on a multiprocessor platform. We propose an optimal priority assignment algorithm which assigns unique priorities to the applications based on information in their interfaces. We have performed experimental evaluations to compare the proposed protocol (called MSOS-Priority) to the current state of the art locking protocols under multiprocessor partitioned scheduling, i.e., MPCP, MSRP, FMLP, MSOS, and OMLP. The valuations show that MSOS-Priority mostly performs significantly better than alternative approaches.
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3.
  • Afshar, Sara, et al. (författare)
  • Resource Sharing under Multiprocessor Semi-Partitioned Scheduling
  • 2012
  • Ingår i: 18th IEEE International Conference on Embedded and Real-Time Computing Systems and Applications (RTCSA'12). - : IEEE. - 9781467330176 - 9780769548241 ; , s. 290-299
  • Konferensbidrag (refereegranskat)abstract
    • Semi-partitioned scheduling has become the subject of recent interest for multiprocessors due to better utilization results, compared to conventional global and partitioned scheduling algorithms. Under semi-partitioned scheduling, a major group of tasks are assigned to fixed processors while a low number of tasks are allocated to more than one processor. Various task assigning techniques have recently been proposed in a semi-partitioned environment. However, a synchronization mechanism for resource sharing among tasks in semi-partitioned scheduling has not yet been investigated. In this paper we propose and evaluate two methods for handling resource sharing under semi-partitioned scheduling in multiprocessor platforms. The main challenge addressed in this paper is to serve the resource requests of tasks that are assigned to different processors.
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4.
  • Afshar, Sara, et al. (författare)
  • Towards Resource Sharing under Multiprocessor Semi-Partitioned Scheduling
  • 2012
  • Ingår i: 7th IEEE International Symposium on Industrial Embedded Systems (SIES'12). - : IEEE. - 9781467326834 - 9781467326858 ; , s. 315-318
  • Konferensbidrag (refereegranskat)abstract
    • Semi-partitioned scheduling has been the subject of recent interest, compared with conventional global and partitioned scheduling algorithms for multiprocessors, due to better utilization results. In semi-partitioned scheduling most tasks are assigned to fixed processors while a low number of tasks are split up and allocated to different processors. Various techniques have recently been proposed to assign tasks in a semi-partitioned environment. However, an appropriate resource sharing mechanism for handling the resource requests between tasks in semi-partitioned scheduling has not yet been investigated. In this paper we propose two methods for handling resource sharing under semi-partitioned scheduling in multiprocessor platforms. The main challenge is to handle the resource requests of tasks that are split over multiple processors.
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5.
  • Agnew, Louise, et al. (författare)
  • Factors associated with work ability in patients with chronic whiplash-associated disorder grade II-III : a cross-sectional analysis
  • 2015
  • Ingår i: Journal of Rehabilitation Medicine. - : FOUNDATION REHABILITATION INFORMATION. - 1650-1977 .- 1651-2081. ; 47:6, s. 546-551
  • Tidskriftsartikel (refereegranskat)abstract
    • Objective: To investigate the factors related to self-perceived work ability in patients with chronic whiplash-associated disorder grades II-III.Design: Cross-sectional analysis.Patients: A total of 166 working age patients with chronic whiplash-associated disorder.Methods: A comprehensive survey collected data on work ability (using the Work Ability Index); demographic, psychosocial, personal, work- and condition-related factors. Forward, stepwise regression modelling was used to assess the factors related to work ability.Results: The proportion of patients in each work ability category were as follows: poor (12.7%); moderate (39.8%); good (38.5%); excellent (9%). Seven factors explained 65% (adjusted R-2 = 0.65, p < 0.01) of the variance in work ability. In descending order of strength of association, these factors are: greater neck disability due to pain; reduced self-rated health status and health-related quality of life; increased frequency of concentration problems; poor workplace satisfaction; lower self-efficacy for performing daily tasks; and greater work-related stress.Conclusion: Condition-specific and psychosocial factors are associated with self-perceived work ability of individuals with chronic whiplash-associated disorder.
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6.
  • Ahmed, Mobyen Uddin, 1976-, et al. (författare)
  • A case-based patient identification system using pulseoximeter and a personalized health profile
  • 2012
  • Ingår i: Proceedings of the ICCBR 2012 Workshops. - Lyon, France. ; , s. 117-128
  • Konferensbidrag (refereegranskat)abstract
    • This paper proposes a case-based system framework in order to identify patient using their health parameters taken with physiological sensors. It combines a personalized health profiling protocol with a Case-Based Reasoning (CBR) approach. The personalized health profiling helps to determine a number of individual parameters which are important inputs for a clinician to make the final diagnosis and treatment plan. The proposed system uses a pulse oximeter that measures pulse rate and blood oxygen saturation. The measurements are taken through an android application in a smart phone which is connected with the pulseoximeter and bluetooth communication. The CBR approach helps clinicians to make a diagnosis, classification and treatment plan by retrieving the most similar previous case. The case may also be used to follow the treatment progress. Here, the cases are formulated with person’s contextual information and extracted features from sensor signal measurements. The features are extracted considering three domain analysis:1) time domain features using statistical measurement, 2) frequency domain features applying Fast Fourier Transform (FFT), and 3) time-frequency domain features applying Discrete Wavelet Transform (DWT). The initial result is acceptable that shows the advancement of the system while combining the personalized health profiling together with CBR.
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7.
  • Ahmed, Mobyen Uddin, 1976-, et al. (författare)
  • Health monitoring for elderly : an application using case-based reasoning and cluster analysis
  • 2013
  • Ingår i: ISRN Artificial Intelligence. - Sweden : Hindawi Limited. - 2090-7435 .- 2090-7443. ; 2013:2013, s. 1-11
  • Tidskriftsartikel (refereegranskat)abstract
    • This paper presents a framework to process and analyze data from a pulse oximeter which measures pulse rate and blood oxygen saturation from a set of individuals remotely. Using case-based reasoning (CBR) as the backbone to the framework, records are analyzed and categorized according to how well they are similar. Record collection has been performed using a personalized health profiling approach where participants wore a pulse oximeter sensor for a fixed period of time and performed specific activities for pre-determined intervals. Using a variety of feature extraction in time, frequency and time-frequency domains, and data processing techniques, the data is fed into a CBR system which retrieves most similar cases and generates alarm and flag according to the case outcomes. The system has been compared with an expert's classification and 90% match is achieved between the expert's and CBR classification. Again, considering the clustered measurements the CBR approach classifies 93% correctly both for the pulse rate and oxygen saturation. Along with the proposed methodology, this paper provides a basis for which the system can be used in analysis of continuous health monitoring and be used as a suitable method as in home/remote monitoring systems.
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8.
  • Ahmed, Mobyen Uddin, 1976-, et al. (författare)
  • Physical Activity Classification for Elderly based on Pulse Rate
  • 2013
  • Ingår i: Studies in Health Technology and Informatics, vol. 189. - : IOS Press. - 9781614992677 ; , s. 152-157
  • Konferensbidrag (refereegranskat)abstract
    • Physical activity is one of the key components for elderly in order to be actively ageing. However, it is difficult to differentiate and identify the body movement and actual physical activity using only accelerometer measurement. Therefore, this paper presents an application of case-based retrieval classification scheme to classify the physical activity of elderly based on pulse rate measurements. Here, case-based retrieval approach used the features extracted from both time and frequency domain. The evaluation result shows the best accuracy performance while considering the combination of time and frequency domain features. According to the evaluation result while considering the control measurements, the sensitivity, specificity and overall accuracy are achieved as 95%, 96% and 96% respectively. Considering the test dataset, the system was succeeded to identify 13 physical activities out of 16 i.e. the percentage of the correctness was 81%.
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9.
  • Ahmed, Mobyen Uddin, 1976-, et al. (författare)
  • Physical activity identification using supervised machine learning and based on pulse rate
  • 2013
  • Ingår i: International Journal of Advanced Computer Sciences and Applications. - : The Science and Information (SAI) Organization. - 2158-107X .- 2156-5570. ; 4:7, s. 210-217
  • Tidskriftsartikel (refereegranskat)abstract
    • Physical activity is one of the key components for elderly in order to be actively ageing. Pulse rate is a convenient physiological parameter to identify elderly’s physical activity since it increases with activity and decreases with rest. However, analysis and classification of pulse rate is often difficult due to personal variation during activity. This paper proposed a Case-Based Reasoning (CBR) approach to identify physical activity of elderly based on pulse rate. The proposed CBR approach has been compared with the two popular classification techniques, i.e. Support Vector Machine (SVM) and Neural Network (NN). The comparison has been conducted through an empirical experimental study where three experiments with 192 pulse rate measurement data are used. The experiment result shows that the proposed CBR approach outperforms the other two methods. Finally, the CBR approach identifies physical activity of elderly 84% accurately based on pulse rate
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10.
  • Akalin, Neziha, 1988-, et al. (författare)
  • A Taxonomy of Factors Influencing Perceived Safety in Human–Robot Interaction
  • 2023
  • Ingår i: International Journal of Social Robotics. - : Springer Science and Business Media B.V.. - 1875-4791 .- 1875-4805.
  • Tidskriftsartikel (refereegranskat)abstract
    • Safety is a fundamental prerequisite that must be addressed before any interaction of robots with humans. Safety has been generally understood and studied as the physical safety of robots in human–robot interaction, whereas how humans perceive these robots has received less attention. Physical safety is a necessary condition for safe human–robot interaction. However, it is not a sufficient condition. A robot that is safe by hardware and software design can still be perceived as unsafe. This article focuses on perceived safety in human–robot interaction. We identified six factors that are closely related to perceived safety based on the literature and the insights obtained from our user studies. The identified factors are the context of robot use, comfort, experience and familiarity with robots, trust, the sense of control over the interaction, and transparent and predictable robot actions. We then made a literature review to identify the robot-related factors that influence perceived safety. Based the literature, we propose a taxonomy which includes human-related and robot-related factors. These factors can help researchers to quantify perceived safety of humans during their interactions with robots. The quantification of perceived safety can yield computational models that would allow mitigating psychological harm.
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