Mehwish Nisar

Accurate modeling of electromagnetic wave scattering from large-scale ground profiles is essential in remote sensing applications. However, the computational burden associated with the underlying numerical methods — particularly those based on full-wave solvers — can become prohibitive. To address the simulation of scattering from one-dimensional random rough surfaces, we have developed specialized parallel implementations of a Method of Moments (MoM)-based solver, optimized for various heterogeneous computing platforms, including shared-memory multicore CPUs, manycore GPUs, and distributed-memory multinode systems. For solving the resulting dense linear systems in parallel via LU factorization across different architectures, we leverage cutting-edge numerical libraries developed in the HPC research community, such as PLASMA, MAGMA, and ScaLAPACK. These libraries serve as parallelized counterparts to the well-known LAPACK suite, each tailored to exploit distinct levels of hardware parallelism. Representative case studies are presented to validate the numerical behavior of the implemented solvers across diverse computational architectures. Parallel performance is thoroughly assessed through empirical benchmarks, demonstrating significant speedup, scalability, and computational efficiency. The developed parallel prototypes effectively harness the different degrees of parallelism available, enabling faster EM simulations, evaluation of scattering phenomena at higher resolutions, and higher-fidelity modeling of electrically large surfaces. This work paves the way for the efficient computation of electromagnetic scattering from complex and/or multilayered structures, facilitating large-scale simulations on current super-computing infrastructures.

This paper addresses the development of a multi-level parallel algorithm for detecting single scatterers in SAR tomography, targeted at multi-node multi-GPU distributed computational architectures. Taking into account the computational structure of the canonical processing scheme based on the Generalized Likelihood Ratio Test (GLRT) considered in this paper, an appropriate problem decomposition is adopted to devise and formulate an efficient parallel algorithm tailored for heterogeneous high-performance computing platforms, thereby enabling a hierarchical exploitation of different levels of parallelism, including both distributed and shared memory models. Experimental evaluations conducted on a multi-node, GPU-enabled HPC cluster, using a high-resolution SAR dataset, exhibit substantial acceleration and scalability. These results quantitatively confirm the effectiveness of the proposed multi-level parallel framework and position the developed prototype as a promising, scalable solution for large-scale SAR tomographic processing applications. This is particularly relevant in light of upcoming SAR missions, which are expected to generate unprecedented volumes of data, thus demanding scalable and high-performance processing solutions.

Urinary incontinence is defined by international continence society as “a condition in which involuntary loss of urine is objectively demonstrable and is a social hygiene problem “It refers to the involuntary leakage of urine can be associated with a systemic complication. Its prevalence is higher in women than in men thought it can affect men and women equally. It has the high prevalence due to its impact on the quality of life. The presence of urinary incontinence can be associated with anger; embarrassment related to any clinical condition, with loss of self-esteem and decrease motivation and decrease social, physical quality of life. Moment plausibility is that the bladder is presently overactive because of the surgery or changes in the pelvic floor musculature related with hysterectomy. Urge incontinence causes spillage of urine all of a sudden, related with critical ness and the powerlessness to smother such inclinations. Objective: Aim of this study is to determine urinary incontinence in women with hysterectomy. To assess the impact of urinary incontinence on quality of life of women undergone hysterectomy. Background: Furthermore, this study highlighted the presence of pain, discomfort, alteration of Quality of life and functional limitation due to incontinence of urine associated after Hysterectomy. An observational survey from different hospitals of Rawalpindi and Islamabad was conducted to collect relevant information. Methods: Standard questionnaire tools (UDI-6) and (KHQ) was used to collect data from 100 women using convenient random sampling technique in different hospitals of Rawalpindi and Islamabad. Results: The result revealed that urinary incontinence in women with hysterectomies strongly associated with altered quality of life causing loss of self-esteem leading to an impairment. Conclusion: This study concluded urinary incontinence associated with hysterectomy had pronounced effects on quality of life of women causing physical, social and psychological role limitations and participation restriction.

In this article, we study a homogenization model for cloaking applications. In the given model, we consider an isotropic inner layer, which is coated with a multilayer anisotropic circular cylinder. We describe the electrostatic response of a polarly radially anisotropic (PRA) multilayer circular cylinder. It consists of different components of permittivity in radial and tangential directions for each layer. We have shown the mathematical derivation of the polarizability and effective permittivity of a PRA multilayer circular cylinder. Moreover, we demonstrate the cloaking behavior using a PRA multilayer circular cylinder. Meanwhile, we test our formation with advanced computational approaches. During our numerical test, we have investigated the numerical results of the polarizability of a PRA multilayer circular cylinder. We employ an inner cloak surrounded by a multilayer anisotropic circular cylinder. However, for an ideal cloak, the contrast between the permittivity parameters approaches infinity.