通常只要在写的shader里出现了sampling就不能用在RTR中。但由于Temporal Anti-Aliasing,时间和空间的滤波方式,以及sample的复用的方式,越来越多的基于sampling的方法得以在RTR中应用。 但不管采样能不能做,我们还是希望能避免采样。 • Observation - If the BRDF is glossy — small support! - If the BRDF is ...
Ultimately, in Section 5.1.2, a summary and comparison of approaches, evaluation types, tools, pros and cons, and evaluation factors are described. 5.1.1 Review of resource-management-based approaches Due to the priority of the health emergency tasks in the smart homes Wang et al. (Wang et...
Precise time synchronization is an essential technique required for financial transaction systems, industrial automation and control systems, as well as land and ocean observation networks. However, the time synchronization signals based on the global-positioning-system (GPS), or global-navigation-satellite...
However, these measures were also highly collinearly related to submergence time and the apparent relationships observed were partly the result of time correlated with itself. The effect of time is highlighted further in the observation that measures of mean DBA could not significantly predict rates ...
It should be pointed out that in order for the ML processor to achieve the optimal performance, the observation sample space has to be large enough; the envi- ronments should be free of reverberation; the delay has to be constant; and the observation signals should be station- ary processes...
4.3. Pros and cons of the proposed method as well as GISA 2.0 From a methodological point of view, we proposed a new global ISA mapping framework that aims to improve the global ISA mapping in terms of the consistency of existing ISA datasets. The merits of our method include: i) In th...
In this chapter, we introduce three such tools developed by different research groups in the past 10 years, namely Time Capture Tool (TimeCat), Work Observation Method by Activity Timing (WOMBAT), and T&M Data Collector. The features of each of these tools are described, followed by a ...
We assume discrete time sampling at regular intervals. This is hard to model because we only observe one realization of the path of the process. The components of a time series are: Trend: the longterm structure (could be linear or exponential) Seasonality: something that repeats at regular ...
On the right () a section (duration, 90 s) of a hawkmoth’s flight trajectory of a long term observation flight is shown. Every mark represents one waypoint. Due to the detectors sampling rate approximately 102 waypoints were recorded per second. If no position could be determined, the ...
Furthermore, we outline the process of synthetic data generation and discuss the pros and cons of the trained machine learning models for estimating the scaling parameter of a time series. We then apply these trained machine learning models in Section 5 to estimate the scaling exponent of three ...