We track multiple human subjects using ultra-wide band (UWB) radar based on their target signatures. To resolve the correspondence problem, the use of CLEAN algorithm is proposed. Walking two human subjects are measured by UWB radar. The feasibility of classification is investigated using the suggested method.

 In this paper we characterize all $2times 2$ idempotent and nilpotent matrices over an integral domain and then we characterize all $2times 2$ strongly nil-clean matrices over a PID. Also, we determine when a $2times 2$ matrix  over a UFD is nil-clean.

Background: Health care-associated infections (HAI) continue to be a significant global community health issue and concern patient safety despite progress in infection control strategies. Among the most often reported illnesses acquired hospitals are surgical site (SSI) (HAI). Methods: This prospective observational study was held various Surgical departments of Bakhtawar Amin Trust Teaching Ho...

We prove a relationship between the Cleaning problem and the Balanced Vertex– Ordering problem, namely that the minimum total imbalance of a graph equals twice the brush number of a graph. This equality has consequences for both problems. On one hand, it allows us to prove the NP-completeness of the Cleaning problem, which was conjectured by Messinger et al. [7]. On the other hand, it also enab...

Linear depolarization ratios in clean air ranges were measured with POLIS-6 at 355 and 532 nm. The mean deviation from the theoretical values, including the rotational Raman lines within the filter bandwidths, amounts to 0.0005 at 355 nm and to 0.0012 at 532 nm. The mean uncertainty of the measured linear depolarization ratio of clean air is about 0.0005 at 355 nm and about 0.0006 at 532 nm.