19 papers · ranked by Valyu relevance
Sushil Kumar, D. K. Lobiyal
Sensing coverage problem in wireless sensor networks is a measure of quality of service (QoS). Coverage refers to how well a sensing field is monitored or tracked by the sensors. Aim of the paper is to have a priori estimate for number of sensors to be deployed in a harsh environment to achieve desired coverage. We…
Dong Han, Hlaing Minn
—In this paper, we consider a new large-scale communication scheme where randomly distributed AmBC nodes are involved as secondary users to primary transmitter (PT) and primary receiver (PR) pairs. The secondary communication between a backscatter transmitter (BT) and a backscatter receiver (BR) is conducted by the…
Jianing Guo, Yunshan Sun, Ting Liu, Yanqin Li + 2 more
In existing coverage challenges within wireless sensor networks, traditional sensor perception models often fail to accurately represent the true transmission characteristics of wireless signals. In more complex application scenarios such as warehousing, residential areas, etc., this may lead to a large gap between the…
Russell Costa, Thomas A. Wettergren, Charalampos Konstantopoulos, Antonio Lázaro
'Antonio Lázaro'] A new method is derived for finding the best positions in which to locate the sensors in a distributed sensor network in order to achieve a desired variation, or pattern, in spatial coverage over a specified domain. Such patterning is important in situations when there are not enough sensors to…
Paul Kabaila, Rupert E. H. Kuveke
We derive a computationally convenient formula for the large sample coverage probability of a confidence interval for a scalar parameter of interest following a preliminary hypothesis test that a specified vector parameter takes a given value in a general regression model. Previously, this large sample coverage…
Qinyu Wei, Peng Wang, Ping Yin
This article focuses on the construction of a confidence interval for vaccine efficacy against contagious coronavirus disease-2019 (COVID-19) in a fixed number of events design. Five different approaches are presented, and their performance is investigated in terms of the two-sided coverage probability, non-coverage…
Sandro Gallo, Nancy L. Garcia
We consider the following coverage model on N. For each site i ∈ N we associate a pair (ξi, Ri) where {ξ0, ξ1, . . .} is a 1-dimensional undelayed discrete renewal point process and {R0, R1, . . .} is an i.i.d. sequence of N-valued random variables. At each site where ξi = 1 we start an interval of length Ri. Coverage…
Harris K. Armeniakos, Petros S. Bithas, Κωνσταντίνος Μαλιάτσος, Αthanasios G. Kanatas
RF-powered IoT Networks Authors: ['Harris K. Armeniakos' 'Petros S. Bithas' 'Κωνσταντίνος Μαλιάτσος' 'Αthanasios G. Kanatas'] This letter studies the joint energy and signal-to-interference-plus-noise (SINR)-based coverage probability in Unmanned Aerial Vehicle (UAV)-assisted radio frequency (RF)-powered Internet of…
Stephen Portnoy
We consider the problem of finding a proper confidence interval for the mean based on a single observation from a normal distribution with both mean and variance unknown. Portnoy (2018) characterizes the scale-sign invariant rules and shows that the Hunt-Stein construction provides a randomized invariant rule that…
Anxing Shan, Xianghua Xu, Zongmao Cheng, Mohamed F. Younis
Sensing coverage is a fundamental problem in wireless sensor networks (WSNs), which has attracted considerable attention. Conventional research on this topic focuses on the 0/1 coverage model, which is only a coarse approximation to the practical sensing model. In this paper, we study the target coverage problem, where…
Alberto Florez Prada, Guido Uguzzoni, Darren J. Hart
Directed evolution requires screening of large mutagenesis libraries, but accurate calculation of library sizes needed to discover functional variants remains challenging. Existing models provide baseline estimates, yet current computational approaches for finding the best variants scale poorly with library complexity.…
Yu-Ning Chen, Wu-Hsiung Lin, Chiuyuan Chen
The coverage problem is a fundamental problem for almost all applications in wireless sensor networks (WSNs). Many applications even impose the requirement of multilevel (k) coverage of the region of interest (ROI). In this paper, we consider WSNs with uncertain properties. More precisely, we consider WSNs under the…
Ben O’Neill
We examine the problem of computing the highest density region (HDR) in a computational context where the user has access to a density function and quantile function for the distribution (e.g., in the statistical language R). We examine several common classes of continuous univariate distributions based on the shape of…
Inbal Preuss, Ben Galili, Zohar Yakhini, Leon Anavy
This study introduces a novel model for analyzing and determining the required sequencing coverage in DNA-based data storage, focusing on combinatorial DNA encoding. We explore the application of the coupon collector model for combinatorial-letter reconstruction, post-sequencing, which ensure efficient data retrieval…
Anna Hutchinson, Hope Watson, Chris Wallace
Genome Wide Association Studies (GWAS) have successfully identified thousands of loci associated with human diseases. Bayesian genetic fine-mapping studies aim to identify the specific causal variants within GWAS loci responsible for each association, reporting credible sets of plausible causal variants, which are…
Jo-Anne Bright, Duncan Taylor, James Curran, John Buckleton
Two methods for applying a lower bound to the variation induced by the Monte Carlo effect are trialled. One of these is implemented in the widely used probabilistic genotyping system, STRmix^™^. Neither approach is giving the desired 99% coverage. In some cases the coverage is much lower than the desired 99%. The…
Authors not listed
This work focuses on the impact of lateral interactions on the thermophysical properties of adsorbates. We present different parameterizations for coverage-dependent enthalpy, entropy, and heat capacity in a mean-field microkinetic model. These models are tested against two systems, CO/Pt(111) and CO/Co(0001), using…
Authors not listed
Traditional electron-configuration notation (e.g. 1s^2 2s^2 2p^6) compresses multi-electron quantum information into integer occupancies that convey allowed maxima and most-probable arrangements but obscure the underlying probabilistic distribution and the spread of possible measurement outcomes. We present a…
Authors not listed
Predicting how often molecules collide in dilute solution remains a long-standing challenge often with several orders of magnitude difference between theoretical values and experimental values also among different experimental values. Traditional frameworks from Smoluchowski and Langmuir rely on the formation of stable…