http://chineseinput.net/에서 pinyin(병음)방식으로 중국어를 변환할 수 있습니다.
변환된 중국어를 복사하여 사용하시면 됩니다.
Waheed U. Bajwa,Robert Calderbank,Sina Jafarpour 한국통신학회 2010 Journal of communications and networks Vol.12 No.4
The problem of model selection arises in a number of contexts, such as subset selection in linear regression, estimation of structures in graphical models, and signal denoising. This paper studies non-asymptotic model selection for the general case of arbitrary (random or deterministic) design matrices and arbitrary nonzero entries of the signal. In this regard, it generalizes the notion of incoherence in the existing literature on model selection and introduces two fundamental measures of coherence—termed as the worst-case coherence and the average coherence—among the columns of a design matrix. It utilizes these two measures of coherence to provide an in-depth analysis of a simple, model-order agnostic one-step thresholding (OST) algorithm for model selection and proves that OST is feasible for exact as well as partial model selection as long as the design matrix obeys an easily verifiable property, which is termed as the coherence property. One of the key insights offered by the ensuing analysis in this regard is that OST can successfully carry out model selection even when methods based on convex optimization such as the lasso fail due to the rank deficiency of the submatrices of the design matrix. In addition, the paper establishes that if the design matrix has reasonably small worst-case and average coherence then OST performs near-optimally when either (i) the energy of any nonzero entry of the signal is close to the average signal energy per nonzero entry or (ii) the signal-to-noise ratio in the measurement system is not too high. Finally, two other key contributions of the paper are that (i)it provides bounds on the average coherence of Gaussian matrices and Gabor frames, and (ii) it extends the results on model selection using OST to low-complexity, model-order agnostic recovery of sparse signals with arbitrary nonzero entries. In particular, this part of the analysis in the paper implies that an AlltopGabor frame together with OST can successfully carry out model selection and recovery of sparse signals irrespective of the phases of the nonzero entries even if the number of nonzero entries scales almost linearly with the number of rows of the Alltop Gabor frame.
Soft Sub-nearsemirings, Soft Ideals and Soft S-Subsemigroups of Nearsemirings
Waheed Ahmad Khan 한국지능시스템학회 2022 INTERNATIONAL JOURNAL of FUZZY LOGIC and INTELLIGE Vol.22 No.3
In this note, we introduce and discuss the notions of soft sub-nearsemirings, soft ideals and softS-subsemigroups of nearsemirings. Some related properties and characterizations of these softalgebraic structures are discussed with illustrative examples. For the sake of investigations, weapply several operations of soft sets including soft intersection sum, soft product and soft uniint product. Based on these operations, we also discuss few characterizations of distributivelygenerated nearsemirings. In due course, we investigate few relationships among these softalgebraic structures and the classical nearsemirings. We also introduce the notion of soft ideals(left and right) of nearsemirings. Firstly, we investigate these ideals by applying few operationson them. Then, we present the relationship between these soft ideals of nearsemiring with theclassical ideals of nearsemirings. Moreover, we introduce the notion of soft S-homomorphismbetween two soft S-subsemigroups and investigate that the homomorphic image of softS-subsemigroup is a soft S-subsemigroup. Throughout, we shift several substructures ofnearsemirings towards the soft algebraic substructures of nearsemirings by utilizing differentalgebraic methods. Consequently, we explore a linkage among the soft set theory, classical settheory and nearsemiring theory. Mainly, our study is the interplay between soft substructuresof nearsemirings and classical substructures of nearsemirings.
Dorsal Hand Vein Pattern Recognition: A Comparison between Manual and Automatic Segmentation Methods
Waheed Ali Laghari,Audrey Huong,Kim Gaik Tay,Chang Choon Chew 대한의료정보학회 2023 Healthcare Informatics Research Vol.29 No.2
Objectives: Various techniques for dorsal hand vein (DHV) pattern extraction have been introduced using small datasetswith poor and inconsistent segmentation. This work compared manual segmentation with our proposed hybrid automaticsegmentation method (HHM) for this classification problem. Methods: Manual segmentation involved selecting a region-ofinterest(ROI) in images from the Bosphorus dataset to generate ground truth data. The HHM combined histogram equalizationand morphological and thresholding-based algorithms to localize veins from hand images. The data were divided intotraining, validation, and testing sets with an 8:1:1 ratio before training AlexNet. We considered three image augmentationstrategies to enlarge our training sets. The best training hyperparameters were found using the manually segmented dataset. Results: We obtained a good test accuracy (91.5%) using the model trained with manually segmented images. The HHMmethod showed slightly inferior performance (76.5%). Considerable improvement was observed in the test accuracy of themodel trained with the inclusion of automatically segmented and augmented images (84%), with low false acceptance andfalse rejection rates (0.00035% and 0.095%, respectively). A comparison with past studies further demonstrated the competitivenessof our technique. Conclusions: Our technique can be feasible for extracting the ROI in DHV images. This strategyprovides higher consistency and greater efficiency than the manual approach.
Runge-Kutta method for flow of dusty fluid along exponentially stretching cylinder
Waheed Iqbal,Mudassar Jalil,Mohamed A. Khadimallah,Hamdi Ayed,Muhammad N. Naeem,Muzamal Hussain,Souhail Mohamed Bouzgarrou,S.R. Mahmoud,E. Ghandourah,Muhammad Taj,Abdelouahed Tounsi 국제구조공학회 2020 Steel and Composite Structures, An International J Vol.36 No.5
The present manuscript focuses on the flow and heat transfer of the dusty fluid along exponentially stretching cylinder. Enormous attempts are made for fluid flow along cylinder but the study of fluid behavior along exponentially stretching cylinder is discussed lately. Using appropriate transformations, the governing partial differential equations are converted to non-dimensional ordinary differential equations. The transformed equations are solved numerically using Shooting technique with Runge-Kutta method. The influence of the physical parameters on the velocity and temperature profiles as well as the skin fraction coefficient and the local Nusselt number are examined in detail. The essential observations are as the fluid velocity decreases but temperature grows with rise in particle interaction parameter, and both the fluid velocity and temperature fall with increase in mass concentration parameter, Reynold number, Particle interaction parameter for temperature and the Prandtl number.
Tourism and CO2 Emissions: A Case Study of Selected South Asian Countries
Waheed AHMAD,Muhammad Tariq MAJEED,Ayesha NAZ,Zubaria ANDLIB,TANVEER 한국유통과학회 2020 Asian Journal of Business Environment (AJBE) Vol.10 No.4
Purpose: The present study examines the effects of tourism on carbon dioxide emissions for selected South Asian economies over the time from 1995 to 2016. Research design, data and methodology: The present study is an annual time series analysis of tourism and CO2 emissions. The data is taken from World Development Indicators, an official data bank of World Bank. The study sample covers four South Asian countries, namely Bangladesh, India, Pakistan, Sri Lanka and Nepal. The empirical analysis is conducted by employing Pedroni panel cointegration, Fully Modified OLS, and Dynamic OLS approaches of estimation. Results: Tourism significantly increases environmental degradation in selected South Asian economies. The empirical estimated results indicate, that 1 % increase in tourism related activities leads to 0.16 % increase in CO2 emissions. In addition energy consumption and GDP are also causing an upsurge in CO2 emissions in the selected panel of South Asian economies. As the empirical results indicate that 1% increase in GDP stimulates carbon dioxide emissions by 0.23%. Conclusion: In order to protect the environment, the study emphasizes that sustainable tourism practices need to be promoted in the selected South Asian countries. Policy implication and provided and discussed.
Waheed Iqbal,Mudassar Jalil,Mohamed A. Khadimallah,Muzamal Hussain,Muhammad N. Naeem,Abdullah F. Al Naim,S.R. Mahmoud,Abdelouahed Tounsi 국제구조공학회 2021 Steel and Composite Structures, An International J Vol.38 No.1
The Runge-Kutta method of 6th-order has been employed in this paper to analyze the flow of Casson nanofluid along permeable exponentially stretching cylinder. The modeled PDEs are changed into nonlinear ODEs through appropriate nonlinear transformations. The aim of the paper is to investigate the effects of different parameters such as Casson fluid parameter, slip parameter, suction parameter, Prandtl number, Lewis number, Brownian motion parameter, and thermophoresis parameter, with the variation of mass concentration profile. Numerical results are attained using a renowned numerical scheme shooting technique and for the authenticity of present methodlogy, the results are verified with earlier open text.