286 research outputs found
Examining the New Perspectives on the History of Indo-Japan Exchange : The Unexplored Resources in Hindustani
No full textIn: Moinuddin Mohammad, Kokado Minori eds. Reconceptualizing Cross-Border Academic Mobility in the Interdisciplinary Research Agenda, International Affairs Office, School of Letters/Graduate School of Humanities, The University of Osaka, 2025, 93p.This study explores the intellectual and cultural exchanges between Japan and India in the early 20th century, with a particular focus on Urdu-language sources, which have largely been overlooked in previous research. The study examines the contributions of Indian intellectuals, educators, and independence activists who engaged with Japan, particularly those who spent time in the country. Figures such as K. S. Sabharwal, Muhammad Badarul Islam Fazli, and Muhammad Noorul Hasan Barlas played pivotal roles in fostering Indo-Japanese literary and cultural interactions, yet their contributions remain underexplored. It underscores the need for further archival research in both Japan and South Asia to uncover additional primary sources, including newspaper articles, unpublished translations, and personal correspondences
A novel quantum calculus-based complex least mean square algorithm (q-CLMS)
No full textThe Least Mean Square (LMS) algorithm has a slow convergence rate as it is dependent on the eigenvalue spread of the input correlation matrix. In this research, we solved this problem by introducing a novel adaptive filtering algorithm for complex domain signal processing based on q-derivative. The proposed algorithm is based on Wirtinger calculus and is called as q- Complex Least Mean Square (q-CLMS) algorithm. The proposed algorithm could be considered as an extension of the q-LMS algorithm for the complex domain. Transient and steady-state analyses of the proposed q-CLMS algorithm are performed and exact analytical expressions for mean analysis, mean square error (MSE), excess mean square error (EMSE), mean square deviation (MSD) and misadjustment are presented. Extensive experiments have been conducted and a good match between the simulation results and theoretical findings is reported. The proposed q-CLMS algorithm is also explored for whitening applications with satisfactory performance. A modification of the proposed q-CLMS algorithm called Enhanced q-CLMS (Eq-CLMS) is also proposed. The Eq-CLMS algorithm eliminates the need for a pre-coded value of the q-parameter thereby automatically adapting to the best value. Extensive experiments are performed on system identification and channel equalization tasks and the proposed algorithm is shown to outperform several benchmark and state-of-the-art approaches namely Complex Least Mean Square (CLMS), Normalized Complex Least Mean Square (NCLMS), Variable Step Size Complex Least Mean Square (VSS-CLMS), Complex FLMS (CFLMS) and Fractional-ordered-CLMS (FoCLMS) algorithms.
Statistical Beamforming for Multi-Set Space–Time Shift-Keying-Based Full-Duplex Millimeter Wave Communications
No full textFull-duplex (FD) communication has been shown to provide an increased achievable rate, while millimeter wave (mmWave) communications benefit from a large available bandwidth that further improves the achievable rate. On the other hand, the concept of multi-set space-time shift keying (MS-STSK) has been proposed to provide a flexible design trade-off between throughput and performance. Hence, in this work, we consider the design of an FD-aided MS-STSK transceiver for millimeter wave communications. However, a major challenge is that channel reciprocity is not valid in mmWave communications due to shorter channel coherence time. Thus, the uplink (UL) pilots cannot be utilized to estimate the downlink (DL) channel. To overcome this challenge, we propose a beamforming technique based on channel statistics without assuming channel reciprocity. For this purpose, a closed-form expression for the outage probability of the system is derived by employing the characterization of the ratio of the Indefinite Quadratic Form (IQF). The derived analytical expression is then utilized to design optimum beamforming weights using the Sequential Quadratic Programming (SQP)-based heuristic method. Moreover, an Iterative Statistical Method (ISM) of joint transmit and receive beamforming algorithm is also developed by utilizing Principle Eigenvector (PE) and Generalized Rayleigh Quotient (G-RQ) optimization techniques. Finally, we verify our simulation results with the theoretical analysis
Medical ultrasound image speckle reduction and resolution enhancement using texture compensated multi-resolution convolution neural network
No full textUltrasound (US) imaging is a mature technology that has widespread applications especially in the healthcare sector. Despite its widespread use and popularity, it has an inherent disadvantage that ultrasound images are prone to speckle and other kinds of noise. The image quality in the low-cost ultrasound imaging systems is degraded due to the presence of such noise and low resolution of such ultrasound systems. Herein, we propose a method for image enhancement where, the overall quality of the US images is improved by simultaneous enhancement of US image resolution and noise suppression. To avoid over-smoothing and preserving structural/texture information, we devise texture compensation in our proposed method to retain the useful anatomical features. Moreover, we also utilize US image formation physics knowledge to generate augmentation datasets which can improve the training of our proposed method. Our experimental results showcase the performance of the proposed network as well as the effectiveness of the utilization of US physics knowledge to generate augmentation datasets
خطوط بنام رئیس احمد جعفری
No full textThis article presents a selection of letters written to Syed Raees Ahmad Jafri, author of more than 150 books. These letters were written by different scholars such as Syed Abu al-Hasan Ali Nadvi, Moinuddin Ahmad Nadvi, Saeed Ahamd Akbarabadi, Abdul Quddoos Hashmi and Ghulam Jilani Barq. The letters not only shed light on Jafri's academic interests but also highlight important facts about his life
<Special Feature "Publication and Distribution of Islamic Books in South Asia 2">Annotation of Books on Iqbal Studies in the Aqeel Collection
No full textThe “Aqeel Collection” at Kyoto University, one of the largest collections of Urdu books and magazines regarding South Asian studies in the world, was founded by the prominent scholar Dr. Moinuddin Aqeel (Mu‘īn al-Dīn ‘Aqīl). This collection consists of books of various fields such as Urdu literature, history, and social science. Since Dr. ‘Aqeel’s interest was focused on the Muslims’ political and social movements in South Asia, this collection has plenty of books in this field. That is why this collection has more than 1, 100 books on the works of Muhammad Iqbal (Muḥammad Iqbāl, 1877–1938), who is regarded a “Poet of the East (Shā‘ir-e Mashriq)” and the spiritual founder of Pakistan, as Iqbal expressed the idea of the autonomous control of Muslims in South Asia in 1940. In Pakistan, Iqbal studies is called “Iqbāliyāt” and several institutions of Iqbal studies have been publishing books and magazines and in universities there is a course curriculum of “Iqbāliyāt”, so many books on Iqbal have been published in Pakistan. Among those innumerable books, the Aqeel Collection has some rare and high quality books on Iqbal. This annotation focuses on such books as basic or rare books on Iqbal Studies, for example the list of books and papers on Iqbal, “Encyclopedia of Iqbāliyāt, ” essential books on Iqbal’s life and works, or books written by some important figures such as Javed Iqbal, Iqbal’s son or ‘Alī Shari‘atī. This annotation also introduces some books on Iqbaliyat which were recently published and showed some new dimensions on Iqbal Studies
Conflict of law and the methodology of Tarjīẖ : a study in Islamic legal theory
No full textIslamic law never achieved unity but expressed itself in, at least, four surviving schools. More interestingly, contemporary Muslim communities are still divided among themselves on a number of issues related to their laws. This work describes how problem of legal conflicts have been tackled by Muslim jurists. It is an attempt to examine closely the phenomenon of conflict in Islamic law from the standpoint of usūl-al-fiqh or Islamic legal theory. In fact, much is heard nowadays of the contradiction in the body of Islamic law. Whilst in contrast, little is presented in terms of the methodology of removing this conflict. The present work therefore, attempts to redress this balance. The emphasis of the work will be concerned primarily with tarjīh methodology ; how to give preference to one piece of evidence or argument over the other when they conflict. Nevertheless, considerable concern is given to investigating the background to the conflict of law in the Shari'ah.
This study of a neglected area in Islamic legal scholarship will be an important source of reference to students, both practising and theoretical jurists or to anyone who merely wishes to increase his knowledge of legal themes, particularly legal conflict. The very aim of the work is to argue that conflict is a natural and unavoidable consequence of legal study because legal conflict is only conflicting principles and arguments adduced by both the classical and modern jurists to reach what is actually intended by God in the target case. Therefore, conflicts are inevitable in most of the cases in fiqh owing to the variety of principles set out to deal with one piece of legal evidence, let alone with all the pieces of legal evidence in question.
Tarjīh is therefore, an important and workable instrument in the re-examination of these conflicts and in arriving at the most accurate principle for establishing the law for as long as this is possible. It is hoped that the discovery of new facts and the increase of knowledge which results from the broadening and deepening of the research will positively contribute to the process of unification of Islamic law
Regularized Linear Discriminant Analysis Using a Nonlinear Covariance Matrix Estimator
No full textLinear discriminant analysis (LDA) is a widely used technique for data classification. The method offers adequate
performance in many classification problems, but it becomes inefficient when the data covariance matrix is
ill-conditioned. This often occurs when the feature space’s dimensionality is higher than or comparable to the training
data size. Regularized LDA (RLDA) methods based on regularized linear estimators of the data covariance matrix have
been proposed to cope with such a situation. The performance of RLDA methods is well studied, with optimal
regularization schemes already proposed. In this paper, we investigate the capability of a positive semidefinite
ridge-type estimator of the inverse covariance matrix that coincides with a nonlinear (NL) covariance matrix estimator.
The estimator is derived by reformulating the score function of the optimal classifier utilizing linear estimation methods,
which eventually results in the proposed NL-RLDA classifier. We derive asymptotic and consistent estimators of the
proposed technique’s misclassification rate under the assumptions of a double-asymptotic regime and multivariate
Gaussian model for the classes. The consistent estimator, coupled with a one-dimensional grid search, is used to set
the value of the regularization parameter required for the proposed NL-RLDA classifier. Performance evaluations based
on both synthetic and real data demonstrate the effectiveness of the proposed classifier. The proposed technique
outperforms state-of-art methods over multiple datasets. When compared to state-of-the-art methods across various
datasets, the proposed technique exhibits superior performance
Joint Optimization of Microstrip Patch Antennas Using Particle Swarm Optimization for UWB Systems
No full textUltra wideband (UWB) systems are the most appropriate for high data rate wireless transmission with low power consumption. However, the antenna design for UWB has been a challenging task. Moreover, it is always desirable to have more freedom by designing different shape antennas with identical characteristics so that they can be used in either transmitter or receiver depending on other physical constraints such as area. To tackle these issues, in this paper, we have investigated a joint optimization of three different shape-printed monopole antennas, namely, printed square monopole antenna, printed circular monopole antenna and printed hexagonal monopole antenna, for UWB applications. More specifically, we have obtained the optimized geometrical parameters of these antennas by minimizing the mean-square-error for desired lower band edge frequency, quality factor, and bandwidth. The objective of joint optimization is to have identical frequency characteristics for the aforementioned three types of PMA which will give a freedom to interchangeably use them at either side, transmitting or receiving. Moreover, we employ particle swarm optimization (PSO) algorithm for our problem as it is well known in the literature that PSO performs well in electromagnetic and antenna applications. Simulation results are presented to show the performance of the proposed design
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