Papers by Muhammad Bin Saeed
arXiv (Cornell University), Jan 2, 2014
Particle swam optimization (PSO) is a popular stochastic optimization method that has found wide ... more Particle swam optimization (PSO) is a popular stochastic optimization method that has found wide applications in diverse fields. However, PSO suffers from high computational complexity and slow convergence speed. High computational complexity hinders its use in applications that have limited power resources while slow convergence speed makes it unsuitable for time critical applications. In this paper, we propose two techniques to overcome these limitations. The first technique reduces the computational complexity of PSO while the second technique speeds up its convergence. These techniques can be applied, either separately or in conjunction, to any existing PSO variant. The proposed techniques are robust to the number of dimensions of the optimization problem. Simulation results are presented for the proposed techniques applied to the standard PSO as well as to several PSO variants. The results show that the use of both these techniques in conjunction results in a reduction in the number of computations required as well as faster convergence speed while maintaining an acceptable error performance for time-critical applications.
2019 5th International Conference on Frontiers of Signal Processing (ICFSP)
This work proposes a distributed estimation algorithm for wireless sensor network, based on the i... more This work proposes a distributed estimation algorithm for wireless sensor network, based on the incremental scheme. The proposed algorithm utilizes the noise variance in order to improve performance. The derivation and mean analysis are shown. The mean analysis of the algorithm is performed which show the range of step size and the stability of the algorithm. Under different scenarios experimental results show the superiority of the proposed algorithm.
ArXiv, 2019
The incremental least mean square (ILMS) algorithm was presented in \cite{Lopes2007}. The article... more The incremental least mean square (ILMS) algorithm was presented in \cite{Lopes2007}. The article included theoretical analysis of the algorithm along with simulation results under different scenarios. However, the transient analysis was left incomplete. This work presents the complete transient analysis, including the learning behavior. The analysis results are verified through several experimental results.
2012 Proceedings of the 20th European Signal Processing Conference (EUSIPCO), 2012
In this work, a particle swarm optimization (PSO) algorithm is used to cooperatively estimate a m... more In this work, a particle swarm optimization (PSO) algorithm is used to cooperatively estimate a monitored parameter by sensor nodes in an ad-hoc wireless sensor network (WSN). In the proposed algorithm, every sensor node of a wireless sensor network is equipped with a modified particle swarm optimization (MPSO) algorithm to estimate a parameter of interest. A diffusion scheme is used to cooperatively estimate this parameter by sharing the local best particle and the corresponding particle error value to the neighboring nodes. Thus the performance of the wireless sensor network is improved by exploiting the spatial and temporal diversity of the network by collaboratively estimating this parameter. The simulation results show that the diffusion MPSO (DMPSO) algorithm outperforms the non-cooperative MPSO (NCMPSO) algorithm, the diffusion least-mean-squares (DLMS) algorithm and the diffusion recursive-least-squares (DRLS) algorithm by considerable margin.
Nanotechnology from the very beginning has been implicated to be useful in various fields of scie... more Nanotechnology from the very beginning has been implicated to be useful in various fields of science, owing to its interdisciplinary dimensions. Various studies around the globe have resulted in a plethora of information regarding the diagnostic and therapeutic potentials of nanotechnology. Different kinds of nano-structures have been produced with unique properties due to their peculiar sizes with propositions in medicine and healthcare. Such nano-scale structures with their prospective geometries are very important in relation to their functionalities. Moreover, modifications on surface of nanoparticles have been impregnated to bring changes that can provide desired effects. Targeted drug therapy by nanoparticles is a subject of recent interest, as it focuses on removing the side effects of certain conventional therapies. Various viral infections have been explored by targeting effects of nanotechnology. Conventional methods, targeting viral infections have certain drawbacks, whic...
The objective of this study was to investigative the influence of high insertion torques on the s... more The objective of this study was to investigative the influence of high insertion torques on the stress distribution around dental implants with variations in thread pitch and reductions in buccal cortical bone thickness. Two bone level dental implants (3.8mm and 5.0mm diameters and a standard length of 10mm) were modeled each having a thread pitch of 0.4mm and 0.65mm. Each implant was placed in two mandibular bone segments having buccal cortical bone thickness set at 2.0mm and 1.5mm. A total of 8 such models were created and discretized with hexahedral mesh elements with an average element size of 0.2mm. Implant-bone interface was simulated with non-linear contacts and friction. Static torque values from 50Ncm to 90Ncm were applied with an increment of 5Ncm on each fully inserted implant. Maximum von-Mises along with maximum frictional stresses were used to record stress distribution within each model. Maximum stresses seem to follow a linear relation with insertion torque showing a...
Iranian Journal of Child Neurology, 2014
Objective Bart’s syndrome is defined as congenital localized absence of skin, and associated with... more Objective Bart’s syndrome is defined as congenital localized absence of skin, and associated with epidermolysis bullosa. A newborn with Bart’s syndrome is reported because it is a very rare condition, especially when associated with corpus callosum agenesis and concomitant choanal atresia. Clinically it is characterized by raw beefy areas of denuded skin mainly on hands and feet. We report a rare case of a term female newborn born to non-consanguineous parents who presented with congenital absence of skin in, face, trunk and extremities. To the best of our knowledge, this is the first report presenting a case of Bart’s syndrome associated with corpus callosum agenesis.
EURASIP Journal on Advances in Signal Processing, 2020
A new variable step-size strategy for the least mean square (LMS) algorithm is presented for dist... more A new variable step-size strategy for the least mean square (LMS) algorithm is presented for distributed estimation in adaptive networks using the diffusion scheme. This approach utilizes the ratio of filtered and windowed versions of the squared instantaneous error for iteratively updating the step-size. The result is that the dependence of the update on the power of the error is reduced. The performance of the algorithm improves even though it is at the cost of added computational complexity. However, the increase in computational complexity can be minimized by careful manipulation of the update equation, resulting in an excellent performance-complexity trade-off. Complete theoretical analysis is presented for the proposed algorithm including stability, transient and steady-state analyses. Extensive experimental analysis is then done to show the performance of the proposed algorithm under various scenarios.
IEEE Transactions on Circuits and Systems II: Express Briefs, 2019
A lot of research has been done in the diffusion paradigm for the wireless sensor networks. Howev... more A lot of research has been done in the diffusion paradigm for the wireless sensor networks. However, not enough attention has been given to the incremental strategy. Despite having better performance than the diffusion scheme, incremental based algorithms have been generally ignored. This work presents an incremental variable step-size strategy for distributed estimation. A detailed analysis of the performance of the algorithm is shown. The mean analysis and mean square analysis are given along with steady-state results. The mean square analysis, as presented here, is being performed for the first time and provides closed form results, unlike previous works present in the literature.
Journal of Dermatological Treatment, 2019
This study documented the response of erosive oral lichen planus to exclusive treatment with 0.1%... more This study documented the response of erosive oral lichen planus to exclusive treatment with 0.1% topical tacrolimus over a 12-month period or until the patient became unresponsive to therapy. MATERIALS AND METHODS: A retrospective cohort design was used to acquire data on 12 patients with recalcitrant OLP that were prescribed 0.1% tacrolimus. These patients were prescribed 0.1% tacrolimus after failing to respond to conventional corticosteroid therapy. Information about their response to medication initially and on flare ups were included in this study. RESULTS: The sample consisted of 9 women and 3 men. All patients were given 0.1% tacrolimus to be applied 3 times a day. Two patients did not respond to the treatment at all, 4 patients showed partial response to tacrolimus treatment. Six patients showed complete initial response to treatment. CONCLUSION: 50% of our patients showed a suboptimal response to 0.1% tacrolimus use for erosive OLP, thus suggesting that in some cases 0.1% tacrolimus may be an ineffective option for managing erosive OLP.
Cureus, Jan 4, 2018
Central pontine myelinolysis is a rare condition arising from the myelinolysis of white matter tr... more Central pontine myelinolysis is a rare condition arising from the myelinolysis of white matter tracts in the pons, most commonly in response to iatrogenic hypertonic stress caused by the rapid correction of hyponatremia. Here, we present an interesting case of central pontine myelinolysis subsequent to normal saline infusion despite strict adherence to the guideline protocol.
Saudi Medical Journal, 2006
To study the prevalence of sternalis muscle in the Kingdom of Saudi Arabia (KSA) and resolve the ... more To study the prevalence of sternalis muscle in the Kingdom of Saudi Arabia (KSA) and resolve the question of its genesis by studying the innervation of this uncommon variant of anterior chest wall musculature. A morphological study of 75 adult cadavers of both sexes was carried out over a 5-year period by macroscopic dissection. We also retrospectively studied the medical records of 1580 adult females who had undergone screening and diagnostic mammographic imaging at King Khalid University Hospital, Riyadh, KSA, from 1997 to 2001. Out of 75 cadavers studied, 3 cases of sternalis muscle were observed. Two adult male cadavers had well developed bilateral sternalis muscles whereas one female cadaver exhibited right sided unilateral sternalis. All 5 sternalis muscles were positioned vertically, in a parasternal position superficial to the medial part of pectoralis major and innervated by branches of intercostal nerves. None of the 1580 women, however, who had undergone mammographic imaging were found to be sternalis positive. Consistent with other geographic populations of the world, the frequency of sternalis in KSA is approximately 4%; however, its innervation by the intercostal nerves, as observed in our study is not common. This study highlights the need for familiarity with sternalis, which may mimic a focal density in medial breast craniocaudal mammograms and may be encountered during reconstructive surgery of breast and chest wall.
Journal of the Dow University of Health Sciences, 2007
Vertebral artery (VA) is the largest branch of the first part o f the subclavian artery and the c... more Vertebral artery (VA) is the largest branch of the first part o f the subclavian artery and the chief source ofblood supply to brainstem, cerebellum, occipital lobe o f cerebrum and posterior cranial fossa. Anomalousorigin, course and or branching pattern of VA may lead to disturbance in veitebro-basilar hemodynamics,risking cerebro-vascular insufficiency. A unique case of right VA having usual origin, but anomalous courseand branching pattern in its prevertebral segment is described. Moreover the right thyrocervical trunk wasabsent in present case and inferior thyroid artery branched off the variant VA. The ligation o f such vertebralartery may cause a compromise to thyroid in addition to posterior cranial fossa blood supply. The informationabout its course is crucial during diagnostic investigations and surgical procedures in the head and neckregion.
Journal of the College of Physicians and Surgeons Pakistan Jcpsp, Feb 1, 2015
Recent studies advocate early treatment with DMARDs as window of opportunity lies in first year o... more Recent studies advocate early treatment with DMARDs as window of opportunity lies in first year of illness. 10 This study applied the treat-to-target approach in our local patients with early RA in routine clinical practice as per standard of care guidelines developed by EULAR.
2012 Conference Record of the Forty Sixth Asilomar Conference on Signals, Systems and Computers (ASILOMAR), 2012
This work shows how to develop distributed versions of block blind estimation techniques that hav... more This work shows how to develop distributed versions of block blind estimation techniques that have been proposed before for batch p rocessing. Using diffusion ada p tation tech niques, data are accumulated at the nodes to form estimates of the auto-correlation matrices and to carry out local SVD and/or Cholesky decom p osition ste p s. Local estimates at neighborhoods are then aggregated to p rovide online streaming estimates of the p arameters of interest. Sim ulation results illustrate the p erformance of the algorithms.
EURASIP Journal on Advances in Signal Processing, 2014
Until recently, a lot of work has been done to develop algorithms that utilize the distributed st... more Until recently, a lot of work has been done to develop algorithms that utilize the distributed structure of an ad hoc wireless sensor network to estimate a certain parameter of interest. However, all these algorithms assume that the input regressor data is available to the sensors, but this data is not always available to the sensors. In such cases, blind estimation of the required parameter is needed. This work formulates two newly developed blind block-recursive algorithms based on singular value decomposition (SVD) and Cholesky factorization-based techniques. These adaptive algorithms are then used for blind estimation in a wireless sensor network using diffusion of data among cooperative sensors. Simulation results show that the performance greatly improves over the case where no cooperation among sensors is involved.
Journal of Ayub Medical College, Abbottabad : JAMC
Restoration of dentition leads to an improvement in the oral health related quality of life. Comp... more Restoration of dentition leads to an improvement in the oral health related quality of life. Complete dentures are used to restore this oral cavity disability to its original condition. This study was designed to compare satisfaction levels between two groups of edentulous patients for whom two different border moulding techniques: 'conventional green stick' and 'polyvinyl siloxane material' were employed. This was a cross-sectional questionnaire based study. A questionnaire was designed in the Department of Prosthodontics at the Armed Forces Institute of Dentistry to compare the satisfaction levels between two groups by assessing the following four variables: 'retention', 'stability', 'comfort during final impression procedure' and…
The particle swarm approach provides a low complexity solution to the optimization problem among ... more The particle swarm approach provides a low complexity solution to the optimization problem among various existing heuristic algorithms. Recent advances in the algorithm resulted in improved performance at the cost of increased computational complexity, which is undesirable. Literature shows that the particle swarm optimization algorithm based on comprehensive learning provides the best complexity-performance tradeoff. We show how to reduce the complexity of this algorithm further, with a slight but acceptable performance loss. This enhancement allows the application of the algorithm in time critical applications, such as, realtime tracking, equalization etc.
2013 1st International Conference on Communications, Signal Processing, and their Applications (ICCSPA), 2013
ABSTRACT Recently several algorithms have been developed to exploit the distributive nature of an... more ABSTRACT Recently several algorithms have been developed to exploit the distributive nature of an ad hoc wireless sensor network to estimate a certain parameter of interest. However, none of the proposed algorithms addresses the issue of sparse system identification over an adaptive network. Recently, several LMS-based sparse estimation algorithms have been devised. This work proposes a distributed sparse LMS algorithm for parameter estimation over adaptive networks. Two different distributed schemes have been used for incorporating the sparse LMS algorithm into the adaptive network framework. Mean transient analysis has been carried out. Simulation results show that in a sparse environment the proposed algorithms perform better than the LMS algorithm.
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Papers by Muhammad Bin Saeed