Probabilistic Analysis of Electronic Systems via Adaptive Hierarchical Interpolation

Ukhov, Ivan; Eles, Petru; Peng, Zebo

doi:10.1109/tcad.2017.2705117

Cited by 5 publications

(2 citation statements)

References 33 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Hierarchical interpolation refers to decomposing data into several levels or segments and then interpolating these segments separately [33,34]. This concept has been successfully used in many fields, including electronic systems and hyperspectral image compression [34,35].…”

Section: B Hierarchical-based Data Analysismentioning

confidence: 99%

Hierarchical Eye-Tracking Data Analytics for Human Fatigue Detection at a Traffic Control Center

Chen

et al. 2020

IEEE Trans. Human-Mach. Syst.

View full text Add to dashboard Cite

Eye-tracking-based human fatigue detection at traffic control centers suffers from an unavoidable problem of low-quality eye-tracking data caused by noisy and missing gaze points. In this study, the authors conducted pioneering work by investigating the effects of data quality on eyetracking-based fatigue indicators and by proposing a hierarchical-based interpolation approach to extract the eyetracking-based fatigue indicators from low-quality eyetracking data. This approach adaptively classified the missing gaze points and hierarchically interpolated them based on the temporal-spatial characteristics of the gaze points. In addition, the definitions of applicable fixations and saccades for human fatigue detection were proposed. Two experiments were conducted to verify the effectiveness and efficiency of the method in extracting eye-tracking-based fatigue indicators and detecting human fatigue. The results indicated that most eye-tracking parameters were significantly affected by the quality of the eye-tracking data. In addition, the proposed approach could achieve much better performance than the classic velocity threshold identification algorithm (I-VT) and a state-of-the-art method (U'n'Eye) in parsing low-quality eye-tracking data. Specifically, the proposed method attained relatively stable eye-tracking-based fatigue indicators and reported the highest accuracy in human fatigue detection. These results are expected to facilitate the application of eye movementbased human fatigue detection in practice.

show abstract

Section: B Hierarchical-based Data Analysismentioning

confidence: 99%

Hierarchical Eye-Tracking Data Analytics for Human Fatigue Detection at a Traffic Control Center

Chen

et al. 2020

IEEE Trans. Human-Mach. Syst.

View full text Add to dashboard Cite

show abstract

“…The techniques for analysis and design under process variation proposed in [111] and [112] are amalgamated in Chapter 5. The approach to analysis under workload variation introduced in [113] is elaborated on in Chapter 6. The work on workload 1.…”

Section: Publication Overviewmentioning

confidence: 99%

System-Level Analysis and Design under Uncertainty

Ukhov¹

Self Cite

View full text Add to dashboard Cite

One major problem for the designer of electronic systems is the presence of uncertainty, which is due to phenomena such as process and workload variation. Very often, uncertainty is inherent and inevitable. If ignored, it can lead to degradation of the quality of service in the best case and to severe faults or burnt silicon in the worst case. Thus, it is crucial to analyze uncertainty and to mitigate its damaging consequences by designing electronic systems in such a way that uncertainty is effectively and efficiently taken into account.We begin by considering techniques for deterministic system-level analysis and design of certain aspects of electronic systems. These techniques do not take uncertainty into account, but they serve as a solid foundation for those that do. Our attention revolves primarily around power and temperature, as they are of central importance for attaining robustness and energy efficiency. We develop a novel approach to dynamic steady-state temperature analysis of electronic systems and apply it in the context of reliability optimization.We then proceed to develop techniques that address uncertainty. The first technique is designed to quantify the variability in process parameters, which is induced by process variation, across silicon wafers based on indirect and potentially incomplete and noisy measurements. The second technique is designed to study diverse system-level characteristics with respect to the variability originating from process variation. In particular, it allows for analyzing transient temperature profiles as well as dynamic steady-state temperature profiles of electronic systems. This is illustrated by considering a problem of design-space exploration with probabilistic constraints related to reliability. The third technique that we develop is designed to efficiently tackle the case of sources of uncertainty that are less regular than process variation, such as workload variation. This technique is exemplified by analyzing the effect that workload units with uncertain processing times have on the timing-, power-, and temperature-related characteristics of the system under consideration.We also address the issue of runtime management of electronic systems that are subject to uncertainty. In this context, we perform an early investigation into the utility of advanced prediction techniques for the purpose of finegrained long-range forecasting of resource usage in large computer systems.All the proposed techniques are assessed by extensive experimental evaluations, which demonstrate the superior performance of our approaches to analysis and design of electronic systems compared to existing techniques. The research presented in this thesis has been partially funded by the National Computer Science Graduate School (cugs) in Sweden.v Sammanfattning Ett stort problem för designern inom elektroniska system är förekomsten av osäkerhet, som beror på sådana fenomen som variationer relaterade till tillverkning och arbetsbelastning. Osäkerhet är i många fall naturlig och oundv...

show abstract