In this paper, we study the perimeter coverage problem where the perimeter of a big object needs to be monitored, but each sensor can only cover a single continuous portion of the perimeter.
It is assumed that each sensor can only monitor a single continuous portion of the perimeter, and no sensor can monitor the whole perimeter as shown in Figure 1.
The first paper, entitled "Perimeter coverage scheduling in wireless sensor networks using sensors with a single continuous cover range" by Hung and Lui, studies the perimeter coverage problem in sensor networks, where the perimeter of an object needs to be monitored by multiple sensors, but each sensor can only cover a single continuous portion of the perimeter.
The continuous portion of the mixture model also included these covariates, whereas the discrete portion included only FPG.
Both the discrete, zero-inflated portion and continuous portion of single-cell expression data are meaningful for detecting outliers.
The second component of the model describes the continuous portion of the data with probability 1− πA as truncated log-normal distribution using a sigmoidal Emax function: where Base is the baseline value for free receptor, Emax is maximal drug effect, Cp is drug concentration, EC50 is the concentration of drug at half-maximal response, and γ is the Hill coefficient.
In the future, we plan to study the perimeter coverage scheduling issues on the scenario where a sensor can monitor multiple continuous portions of the perimeter on the target object instead of a single continuous portion.
In this paper, architecture of combined modeling for supply chain simulation is proposed, which includes the equation of continuous portion in the supply chain and how these equations can be used in the supply chain simulation models.
The continuous system portion of grid model ΣEP is feedback linearizable[17], which implies the continuous system is differentially flat and consequently that ΣEP admits a finite abstraction.
