Modeling SMR Drive Performance

Shafaei, Mansour; Hajkazemi, Mohammad Hossein; Desnoyers, Peter; Aghayev, Abutalib

doi:10.1145/2896377.2901496

Cited by 5 publications

(6 citation statements)

References 3 publications

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“…The EEG feedback and EEG activities (amplitude and frequency) at different body positions were measured to provide feedback signals (a wave, b wave, h wave and sensorimotor rhythm [SMR] wave). The SMR was used to measure variation in the driver's attention (Shafaei, Hajkazemi, Desnoyers, & Aghayev, 2016). In addition, a Careland V R event data recorder (video resolution 1080p; photo pixel: 12 million) was installed on the rearview mirror to record the driving speed, traffic video and driving trajectory.…”

Section: Methodsmentioning

confidence: 99%

Effect of Music Tempo on Long-Distance Driving: Which Tempo Is the Most Effective at Reducing Fatigue?

Chen

Zhang

2019

i-Perception

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This study investigated how music tempo impacted drivers’ fatigue and quality of attention in a long-distance monotonous highway environment. Sixteen drivers were enrolled in four sessions of real-road driving tests under the following four music conditions: no music, slow tempo, medium tempo and fast tempo. Specifically, the drivers’ electroencephalogram parameters and eye movement parameters were recorded to measure their extent of fatigue and quality of attention, respectively. Of the three tempos, medium-tempo music is the best choice to reduce fatigue and maintain attention for a long-distance driving. Slow-tempo music can temporarily boost the quality of attention, but after a long period of driving, it significantly deteriorates the driver’s levels of fatigue and attention. Fast-tempo music helps relieve driver fatigue but significantly deteriorates drivers’ attention after an extended driving time. This study offered practical references for drivers regarding the use of music to avoid fatigue, maintain attention and improve their driving safety. Based on previous theories of music and driving, we have explored the underlying mechanism of how music tempo maintains the alertness of drivers.

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Section: Methodsmentioning

confidence: 99%

Effect of Music Tempo on Long-Distance Driving: Which Tempo Is the Most Effective at Reducing Fatigue?

Chen

Zhang

2019

i-Perception

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“…Vguard maintains an exception map, indicating which tracks have been relocated into cache and where. Due to the relatively small size of the persistent cache and the large granularity (one track) of the mapping, this map is extremely small in comparison to the ∼60 MB reported in SMaRT [68] or the ∼1 MB map seen in commercial E-region-based devices [5]. In particular, if…”

Section: Map Persistencementioning

confidence: 91%

“…To reduce the buffer memory required and duration for which host I/Os are stalled, a band may be cleaned in multiple stages, with each stage reading, persisting, and then re-writing a single buffer of data; read (and sometimes write) operations are interleaved between stages. Vguard uses a cleaning buffer size of 15 MB, roughly the same that seen in commercial DM-STL drives analyzed to date [5,30].…”

Section: Overwrite Band B With the Merged Datamentioning

confidence: 99%

“…Vguard is implemented as extensions to an existing and accurate Python simulator for DM-SMR devices [5]. I compare Vguard with the simulated performance of the Seagate 5 TB drive ("DM-SMR"), using parameters and drive settings shown in…”

Section: Simulation-based Evaluationmentioning

confidence: 99%

“…(5 TB, 3.5") and ST4000LM016 (4 TB, 2.5"), both drive-managed SMR devices, as existing high-capacity storage systems begin the conversion to SMR devices [4], understanding and predicting the behavior of these devices becomes increasingly important. I also explain the general methodology [5,6] used to produce the model for any other arbitrary SMR drive.The resulting light-weight model can be used for multiple purposes. It can serve as a platform for SMR translation layer experimentation, offering a simulation which has been validated against real drive-managed SMR devices.…”

Section: Introductionmentioning

confidence: 99%

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