The two jobs of the slow machine will indeed benefit from moving if the parameters are chosen appropriately (as their completion times on both machines will be approximately 2s). Let s′=⌊s⌋, and ρ=s−s′(0≤ρ<1). We use two parameters: a large value M such that M>3s+1 ...
Three moving-boat tests were conducted as the boat was carried by spill flow in a south to north (y) direction at 10 m, 20 m and 50 m distances from the hydrophone array located on spillway piers. The remote boat moved at an active speed of 0.2–0.4 m/s, while the average flow ...
moving least squaresIn order to reduce computational costs in structural reliability analysis, it has been suggested to utilize approximate response functions for reliability assessment. One well-established class of methods to deal with suitable approximations is the Response Surface Method. The basic ...
for Standardization (ISO) Moving Picture Experts Group (MPEG) Standards and International Telecommunications Union-Telecommunications Standardization Sector (ITU-T) H.26x standards for aliasing reduction. The use of long filters result in significant increases for memory storage and computational complexity....
The major difficulty with energy minimization for computer vision lies in the enormous computational costs. Energy functions for computer vision typically have many local minima. Also, the space of possible labelings has the dimension |P| which is many thousands....
6. Conclusions The Utopian goal of providing "ideal networking" service universally is an elusive target (due to the moving target nature of "ideal networking" and the lack of affordability of advanced technologies in challenging markets). A lot of experience has highlighted the fidelity-convenience...
To tackle this issue, they suggested a comprehensive approach that integrates the autoregressive moving average model with exogenous inputs (ARIMAX) and machine learning (ML) models. They also conducted a comparison between these advanced methods and traditional univariate benchmarks. The multivariate ...
Therefore, the current development of the IC industry in AI is gradually moving toward the direction in which edge devices can operate independently. The design development of such devices is moving towards lower power consumption, higher throughput, and a smaller area. Amongst various reasons for ...
We also consider the exponentially weighted moving-average (EWMA) forecasting method, which is quite popular among practitioners. In Section 4, we analyze the performance of the point forecasts for count processes with overdispersion or zero inflation, for higher-order autoregressions, for different ...
Therefore, the current development of the IC industry in AI is gradually moving toward the direction in which edge devices can operate independently. The design development of such devices is moving towards lower power consumption, higher throughput, and a smaller area. Amongst various reasons for ...