| 1. |
- Deivasigamani, M., et al.
(författare)
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Concept and design of exhaustive-parallel search algorithm for Network-on-Chip
- 2011
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Ingår i: Int. Syst. Chip Conf.. - 9781457716164 ; , s. 150-155
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Konferensbidrag (refereegranskat)abstract
- This paper presents the concept and design of exhaustive-parallel search algorithm for Network-on-Chip. The proposed parallel algorithm searches minimal path between source and destination in a forward-wave-propagation manner. The algorithm guarantees setup latency if the setup path exists. A high performance switch is designed to support exhaustive-parallel search algorithm. The NoC fabric is designed for 88 mesh architecture and its performance is evaluated.
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| 2. |
- Mallhi, Tauqeer Hussain, et al.
(författare)
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Mental Health and Coping Strategies among University Staff during the COVID-19 Pandemic : A Cross-Sectional Analysis from Saudi Arabia
- 2023
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Ingår i: Sustainability. - : MDPI. - 2071-1050. ; 15:11
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Tidskriftsartikel (refereegranskat)abstract
- This study examined psychological health and coping strategies among faculty and staff at a Saudi Arabian university. A web-based self-administered survey was used to assess probable anxiety, depression, post-traumatic stress disorder (PTSD), and coping strategies by using the Generalized Anxiety Disorder-7 (GAD-7), Patient Health Questionnaire-9 (PHQ-9), Impact of Event Scale-Revised (IES-R), and Brief-COPE scale, respectively. Of 502 participants (mean age 36.04 +/- 10.32 years, male: 66.3%), 24.1% (GAD-7 >= 10) had probable anxiety. Anxiety score was significantly higher in females (p < 0.001), those with a history of COVID-19 infection (p = 0.036), and participants with less work experience (p = 0.019). Approximately 40% of participants met the criteria of probable depression, with females (p < 0.001) and participants with less experience having more depressive symptoms. Around one-fourth (27.7%) of study participants indicated probable PTSD (score +/- 33), with higher symptoms in females (p <0.001), less experienced staff (p < 0.00 1), and academic staff (p = 0.006). Correlation analysis indicated a significant positive correlation between anxiety and depression (r = 0.844, p < 0.001), anxiety and PTSD (r = 0.650, p < 0.001), and depression and PTSD (r = 0.676, p < 0.001). Active coping, religious/spiritual coping, and acceptance were common coping strategies, while substance use was the least adopted coping method among the study participants. This study indicated a high prevalence of probable psychological ailments among university staff.
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| 3. |
- Saadatmand, Mehrdad, et al.
(författare)
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Monitoring capabilities of schedulers in model-driven development of real-time systems
- 2012
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Ingår i: 2012 IEEE 17th Conference On Emerging Technologies & Factory Automation (ETFA). - : IEEE. - 9781467347372 ; , s. 6489589-
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Konferensbidrag (refereegranskat)abstract
- Model-driven development has the potential to reduce the design complexity of real-time embedded systems by increasing the abstraction level, enabling analysis at earlier phases of development, and automatic generation of code from the models. In this context, capabilities of schedulers as part of the underlying platform play an important role. They can affect the complexity of code generators and how the model is implemented on the platform. Also, the way a scheduler monitors the timing behaviors of tasks and schedules them can facilitate the extraction of runtime information. This information can then be used as feedback to the original model in order to identify parts of the model that may need to be re-designed and modified. This is especially important in order to achieve round-trip support for model-driven development of real-time systems. In this paper, we describe our work in providing such monitoring features by introducing a second layer scheduler on top of the OSE real-time operating system's scheduler. The goal is to extend the monitoring capabilities of the scheduler without modifying the kernel. The approach can also contribute to the predictability of applications by bringing more awareness to the scheduler about the type of real-time tasks (i.e., periodic, sporadic, and aperiodic) that are to be scheduled and the information that should be monitored and logged for each type.
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| 4. |
- Saadatmand, Mehrdad, et al.
(författare)
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The Role of Schedulers in Model-Driven Development of Real-Time Systems
- 2012
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Rapport (övrigt vetenskapligt/konstnärligt)abstract
- Design of real-time embedded systems is a complex and challenging task. Model-driven development has the potential to reduce the design complexity of real-time embedded systems by increasing the abstraction level, enabling analysis at earlier phases of development, and automatic generation of code from the models. In this context, capabilities of schedulers as part of the underlying platform play an important role. They can affect the complexity of code generators and how the model is implemented on the platform. Also, the way a scheduler monitors timing behaviors of tasks and schedules them can facilitate extraction of runtime information. This information can then be used as feedback to the original model in order to identify parts of the model that may require to be re-designed and modified. In this paper, we describe our work in providing these features by introducing a second layer scheduler on top of OSE real-time operating system’s scheduler. The approach can also contribute to the predictability of systems by bringing more awareness to the scheduler about the type of real-time tasks (i.e., periodic, sporadic, and aperiodic) that are to be scheduled, and the information that should be monitored and logged for each type.
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