Wideband beamspace squint user grouping algorithm based on subarray collaboration

The beam direction constrained problem is one of the important issues to be solved in millimeter-wave (mmWave) wideband communications when serving multi-user with squint beams whose direction varies with frequency. In this paper, we improve the number of simultaneous users served by collaboratively transmitting squint beams among multi-subarray at the base station (BS) end in a downlink multi-user line-of-sight (LoS) scenario, and reduce the interference among co-channel squint beams by a beam domain approach. The optimization problem of maximizing the number of users served in the system by transmitting beams in the two-dimensional beamspace of the planar antenna subarray is proposed and its suboptimal algorithm is given. Finally, the feasibility of the proposed method and the performance of the proposed algorithm are verified by numerical simulations.

K-means for shared frailty models

Background The purpose of this research was to see how the k-means algorithm can be applied to survival analysis with single events per subject for defining groups, which can then be modeled in a shared frailty model to further allow the capturing the unmeasured confounding not already explained by the covariates in the model. Methods For this purpose we developed our own k-means survival grouping algorithm to handle this approach. We compared a regular shared frailty model with a regular grouping variable and a shared frailty model with a k-means grouping variable in simulations as well as analysis on a real dataset. Results We found that in both simulations as well as real data showed that our k-means clustering is no different than the typical frailty clustering even under different situations of varied case rates and censoring. It appeared our k-means algorithm could be a trustworthy mechanism of creating groups from data when no grouping term exists for including in a frailty term in a survival model or comparing to an existing grouping variable available in the current data to use in a frailty model.

Optimized Energy Conservation Procedure for Heterogeneous Wireless Sensor Network

A WSN is composed of device with dissimilar energy levels. For saving energy, a grouping algorithm is obligatory and it also intensification the epoch time of the network and the firmness epoch of the network. For securing the energy conservation of the network, energy-efficient grouping etiquettes are designed for the HWSN. We projected the protocol for the energy-efficient grouping scheme which is an enhanced version of the protocols such as EDEEC, SEP, DEEC, and DDEEC. Simulation outcomes demonstrate that the proposed mechanism is well recovering than the SEP (A Stable Election Protocol), DEEC (Distributed Energy Efficient Grouping Protocol), EDEEC (Enhanced Distributed Energy-Efficient Protocol), DDEEC (Developed DEEC) in standings of the network duration, number of packets delivered to the BS, amount of CH selected and number of nodes alive per smoothed. The CH will be selected founded on the original energy and the left-over energy of the device.

Constraining Type Ia Supernova Delay Time with Spatially Resolved Star Formation Histories

We present the delay time distribution (DTD) estimates of Type Ia supernovae (SNe Ia) using spatially resolved SN Ia host galaxy spectra from MUSE and MaNGA. By employing a grouping algorithm based on k-means and earth mover’s distances (EMDs), we separated the host galaxy stellar population age distributions (SPADs) into spatially distinct regions and used maximum likelihood method to constrain the DTD of SN Ia progenitors. When a power-law model of the form DTD(t) ∝ t s (t > τ) is used, we find an SN rate decay slope s = − 1.41 − 0.33 + 0.32 and a delay time τ = 120 − 83 + 142 Myr . Moreover, we tested other DTD models, such as a broken power-law model and a two-component power-law model, and found no statistically significant support for these alternative models.

Trafficking in persons: cluster analysis of sending and receiving countries

The objective of this article is to deepen the understanding of the problem of human trafficking by analyzing the patterns of the distribution of traffic across countries, based on international statistics on various socio-economic indicators. We conducted cluster analysis using neuro network grouping algorithm of Kohonen self-organizing maps, basing on 44 variables reflecting different social and economical aspects for 144 countries. Countries were grouped according to the type and level of risk of trafficking-related crimes, and traffic distribution maps were built based on generally accepted hypotheses about traffic factors. As a result of the study, a number of hypotheses explaining the nature of traffic were tested. The results reveal the linkage between the risk of incoming and outgoing trafficking and the socio-economic parameters of the countries and groups.

Categorizing and measurement satellite image processing of fire in the forest greece using remote sensing

This paper has been utilized satellite Sentinel-2A imagery, this satellite is a polar-orbiting, multispectral high-resolution to cover Athens city, Greece that located at latitude (37° 58′ 46″) N, (23° 42′ 58″) E.,the work aims to measurement and study the wildfires natural resourcesbefore and after fire break out that happenedin forests of Athens city in Greece for a year (2007, 2018) and analysis the damage caused by these wildfiresand their impact on environment and soil by categorize the satellite images for the interested region before and after wildfires for a year (2007) and a year (2018) and Discuss techniques that compute the area covered of each class and lessen or limit the rapidly spreading wildfires damage.The categorizing utilizing the moments with (K-Means) grouping algorithm in RS (remote sensing). And the categorizing results show five unique classes (water, trees, buildings without tree, buildings with tree, bare lands) where, it can be notice that the region secured by each class before and after wildfires and the changed pixels for all classes.The experimental resulted of categorizing technique shows that the good performance exactness with a good categorizing and result analysisa bout the harms resulted from the fires in the forest Greece for a years (2007 and 2018).