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Enhanced Wolf Pack Algorithm (EWPA) and Dense-kUNet Segmentation for Arterial Calcifications in Mammograms

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Computers, Materials & Continua 2024年第2期78卷 2207-2223页

作者： Afnan M.alhassan College of Computing and Information Technology Shaqra UniversityShaqra11961Saudi Arabia

Breast Arterial Calcification(BAC)is a mammographic decision dissimilar to cancer and commonly observed in elderly *** identifying BAC could provide an expense,and be *** Deep Learning(DL)methods have been introduced for automatic BAC detection and quantification with increased ***,classification with deep learning had reached higher efficiency,but designing the structure of DL proved to be an extremely challenging task due to overfitting *** also is not able to capture the patterns and irregularities presented in the *** solve the overfitting problem,an optimal feature set has been formed by Enhanced Wolf Pack Algorithm(EWPA),and their irregularities are identified by Dense-kUNet *** this paper,Dense-kUNet for segmentation and optimal feature has been introduced for classification(severe,mild,light)that integrates DenseUNet and *** bound links exist among adjacent modules,allowing relatively rough data to be sent to the following component and assisting the system in finding higher *** major contribution of the work is to design the best features selected by Enhanced Wolf Pack Algorithm(EWPA),and modified Support Vector Machine(MSVM)based learning for classification.k-Dense-UNet is introduced which combines the procedure of Dense-UNet and kU-Net for image *** bound associations occur among nearby sections,allowing relatively granular data to be sent to the next subsystem and benefiting the system in recognizing smaller *** proposed techniques and the performance are tested using several types of analysis techniques 826 filled digitized *** proposed method achieved the highest precision,recall,F-measure,and accuracy of 84.4333%,84.5333%,84.4833%,and 86.8667%when compared to other methods on the Digital Database for Screening Mammography(DDSM).

关键词： Breast arterial calcification cardiovascular disease semantic segmentation transfer learning enhanced wolf pack algorithm and modified support vector machine

Efficient Authentication Scheme for UAV-Assisted mobile Edge Computing

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Computers, Materials & Continua 2023年第5期75卷 2727-2740页

作者： Maryam alhassan Abdul Raouf Khan Department of Computer Science College of Computer Science and Information TechnologyKing Faisal UniversityAlahssa31982Kingdom of Saudi Arabia

Preserving privacy is imperative in the new unmanned aerial vehicle(UAV)-assisted mobile edge computing(MEC)architecture to ensure that sensitive information is protected and kept secure throughout the ***,efficiency must be considered while developing such a privacy-preserving scheme because the devices involved in these architectures are resource *** study proposes a lightweight and efficient authentication scheme for *** proposed scheme is a hardware-based password-less authentication mechanism that is based on the fact that temporal and memory-related efficiency can be significantly improved while maintaining the data security by adopting a hardwarebased solution with a simple *** proposed scheme works in four stages:system initialization,EU registration,EU authentication,and session *** is implemented as a single hardware chip comprising registers and XOR gates,and it can run the entire process in one clock ***,the proposed scheme has significantly higher efficiency in terms of runtime and memory consumption compared to other prevalent methods in the *** are conducted to evaluate the proposed authentication *** results show that the scheme has an average execution time of 0.986 ms and consumes average memory of 34 *** hardware execution time is approximately 0.39 ns,which is a significantly less than the prevalent schemes,whose execution times range in ***,the security of the proposed scheme is examined,and it is resistant to brute-force *** 1.158×10^(77) trials are required to overcome the system’s security,which is not feasible using fastest available processors.

关键词： MEC UAVs drones security efficiency authentication hardware-based solution password-less authentication

South Carolina forestland owners’ willingness to accept compensations for carbon sequestration

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Forest Ecosystems 2019年第2期6卷 119-131页

作者： Mustapha alhassan Marzieh motallebi Bo Song Clemson University Baruch Institute of Coastal Ecology and Forest Science P. O. Box 596 Georgetown SC 29442 USA U.S. Geological Survey Science and Decisions Center 12201 Sunrise Valley Drive Mail Stop 913 Reston VA 20192 USA

Background: Carbon sequestration through recommended forest management practices is an ecosystem service that helps mitigate climate change and its impacts while generating carbon credits for forestland owners to sell in cap-and-trade programs. The California’s cap-and-trade program (California’s carbon market hereafter) allows forestland owners from any part of the contiguous United States to supply carbon credits to compliance entities. In this study, we estimate South Carolina (SC) private forestland owners’willingness to accept compensations to participate in the California’s carbon market using a contingent valuation method. Results: We estimate forestland owners’mean willingness to accept as$67 per acre per year. Our results reveal higher probability of participation of forestland owners with interests in preserving forest ecosystems than those who do not. Additionally, forestland owners who trust in information about climate change from scientists or government are willing to participate more than those who do not. Conclusions: Various factors hinder landowners’ability to participate in carbon markets. Forestland owners in SC consider legislative uncertainty and long-time commitment as the main barriers to participation in California’s carbon market. From this research, average forestland tenure in SC is 27 years, which is far less than the 100-year time commitment of the California’s carbon market. Of those who agreed to participate, choosing between adopting and not adopting any of the three main forest management practices in the California’s carbon market:28% are likely to adopt improved forest management (IFM) practices, 24% are likely to adopt reforestation due to understocked forestlands, and 14% are likely to adopt avoided conversion. In another development, the concept of aggregation has dominated discussions in the California’s carbon market of late. It is an advocacy to include small-scale forestlands in the California’s carbon market. To aggregate

关键词： Forestland owners Carbon markets Willingness to accept

A Survey of Synthetic Data Augmentation Methods in Machine Vision

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Machine Intelligence Research 2024年第5期21卷 831-869页

作者： alhassan Mumuni Fuseini Mumuni Nana Kobina Gerrar Cape Coast Technical University Cape CoastDL 50Ghana University of Mines and Technology Tarkwa237Ghana

The standard approach to tackling computer vision problems is to train deep convolutional neural network(CNN)models using large-scale image datasets that are representative of the target ***,in many scenarios,it is often challenging to obtain sufficient image data for the target *** augmentation is a way to mitigate this challenge.A common practice is to explicitly transform existing images in desired ways to create the required volume and variability of training data necessary to achieve good generalization *** situations where data for the target domain are not accessible,a viable workaround is to synthesize training data from scratch,i.e.,synthetic data *** paper presents an extensive review of synthetic data augmentation *** covers data synthesis approaches based on realistic 3D graphics modelling,neural style transfer(NST),differential neural rendering,and generative modelling using generative adversarial networks(GANs)and variational autoencoders(VAEs).For each of these classes of methods,we focus on the important data generation and augmentation techniques,general scope of application and specific use-cases,as well as existing limitations and possible ***,we provide a summary of common synthetic datasets for training computer vision models,highlighting the main features,application domains and supported ***,we discuss the effectiveness of synthetic data augmentation *** this is the first paper to explore synthetic data augmentation methods in great detail,we are hoping to equip readers with the necessary background information and in-depth knowledge of existing methods and their attendant issues.

关键词： Data augmentation generative modelling neural rendering data synthesis synthetic data neural style transfer(NsT)

Testing the effect of solar wind parameters and geomagnetic storm indices on Galactic cosmic ray flux variation with automatically-selected Forbush decreases

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Research in Astronomy and Astrophysics 2021年第9期21卷 207-216页

作者： Jibrin Adejoh alhassan Ogbonnaya Okike Augustine Ejikeme Chukwude Department of Physics and Astronomy University of NigeriaNsukka 400001Nigeria Department of Industrial Physics Ebonyi State UniversityAbakaliki 840001Nigeria

Forbush decrease(FD),discovered by Scott *** about 80 years ago,is referred to as the non-repetitive short-term depression in Galactic cosmic ray(GCR)flux,presumed to be associated with large-scale perturbations in solar wind and interplanetary magnetic field(IMF).It is the most spectacular variability in the GCR intensity which appears to be the compass for investigators seeking solar-terrestrial *** method of selection and validation of FD events is very important to cosmic ray(CR)*** have deployed new computer software to determine the amplitude and timing of FDs from daily-averaged CR data at Oulu Neutron monitor *** code selected 230 FDs between 1998 and *** an attempt to validate the new FD automated catalog,the relationship between the amplitude of FDs,and IMF,solar wind speed(SWS)and geomagnetic storm indices(Dst,kp,ap)is tested here.A two-dimensional regression analysis indicates significant linear relationship between large FDs(CR(%)≤-3)and solar wind data and geomagnetic storm indices in the present *** implications of the relationship among these parameters are discussed.

关键词： methods:data analysis methods:statistical Sun:coronal mass ejections(CMEs) (Sun:)solar-terrestrial relations (Sun:)solar wind (ISM:)cosmic rays

Investigation of the relation between space-weather parameters and Forbush decreases automatically selected from moscow and Apatity cosmic ray stations during solar cycle 23

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Research in Astronomy and Astrophysics 2021年第11期21卷 28-34页

We present the results of an investigation of the relation between space-weather parameters and cosmic ray(CR)intensity modulation using algorithm-selected Forbush decreases(FDs)from moscow(moSC)and Apatity(APTY)neutron monitor(NM)stations during solar cycle *** FD location program detected 408 and 383 FDs from moSC and APTY NM stations respectively.A coincident computer code employed in this work detected 229 FDs that were observed at the same Universal Time(UT)at the two *** of the 229 simultaneous FDs,we formed a subset of 139 large FDs(%)≤-4 at the moSC *** performed a two-dimensional regression analysis between the FD magnitudes and the space-weather data on the two *** find that there were significant space-weather disturbances at the time of the CR flux *** correlation between the space-weather parameters and decreases in galactic cosmic ray(GCR)intensity at the two NM stations is statistically *** implications of the present space-weather data on CR intensity depressions are highlighted.

关键词： methods:data analysis methods:statistical Sun:coronal mass ejections(CMEs) (Sun:)solar terrestrial relations (Sun:)solar wind (ISM:)cosmic rays

Testing the Empirical Relationship between Forbush Decreases and Cosmic Ray Diurnal Anisotropy

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Research in Astronomy and Astrophysics 2022年第5期22卷 129-135页

The abrupt aperiodic modulation of cosmic ray(CR)flux intensity,often referred to as Forbush decrease(FD),plays a significant role in our understanding of the Sun-Earth *** and precise determinations of FD magnitude and timing are among the intractable problems in FD-based *** identification is complicated by CR diurnal *** anisotropy can increase or reduce the number and amplitude of *** is therefore important to remove its contributions from CR raw data before FD ***,an attempt was made,using a combination of the Fourier transform technique and FD-location machine,to address ***,two FD catalogs and amplitude diurnal variation(ADV)were calculated from filtered(FD1 and ADV)and raw(FD2)CR *** the current work,we test the empirical relationship between FD1,FD2,ADV and solar-geophysical *** analysis shows that two types of magnetic fields-interplanetary and geomagnetic(Dst)-govern the evolution of CR flux intensity reductions.

关键词： methods data analysis-methods statistical-catalogs-Sun coronal mass ejections (CMEs)-(Sun:) solar wind-(Sun:)solar-terrestrial relations-(ISM:)cosmic rays

Bayesian model averaging(BMA)for nuclear data evaluation

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Nuclear Science and Techniques 2024年第11期35卷 193-218页

作者： E.alhassan D.Rochman G.Schnabel A.J.Koning SCK CEN(Belgian Nuclear Research Centre) Boeretang 2002400 MolBelgium Laboratory for Reactor Physics and Thermal‑Hydraulics Paul Scherrer Institute5232 VilligenSwitzerland Nuclear Data Section International Atomic Energy Agency(IAEA)ViennaAustria Division of Applied Nuclear Physics Department of Physics and AstronomyUppsala UniversityUppsalaSweden

To ensure agreement between theoretical calculations and experimental data,parameters to selected nuclear physics models are perturbed and fine-tuned in nuclear data *** approach assumes that the chosen set of models accurately represents the‘true’distribution of considered ***,the models are chosen globally,indicating their applicability across the entire energy range of ***,this approach overlooks uncertainties inherent in the models *** this work,we propose that instead of selecting globally a winning model set and proceeding with it as if it was the‘true’model set,we,instead,take a weighted average over multiple models within a Bayesian model averaging(BMA)framework,each weighted by its posterior *** method involves executing a set of TALYS calculations by randomly varying multiple nuclear physics models and their parameters to yield a vector of calculated ***,computed likelihood function values at each incident energy point were then combined with the prior distributions to obtain updated posterior distributions for selected cross sections and the elastic angular *** the cross sections and elastic angular distributions were updated locally on a per-energy-point basis,the approach typically results in discontinuities or“kinks”in the cross section curves,and these were addressed using spline *** proposed BMA method was applied to the evaluation of proton-induced reactions on ^(58)Ni between 1 and 100 *** results demonstrated a favorable comparison with experimental data as well as with the TENDL-2023 evaluation.

关键词： Bayesian model averaging(BMA) Nuclear data Nuclear reaction models model parameters TALYS code system Covariances

掺纤维的桥面铺装层混凝土的收缩和时间响应(英文)

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硅酸盐学报 2010年第9期38卷 1638-1644页

作者： alhassan A mo.ammad Indiana-Purdue University Fort Wayne (IPFW) Fort Wayne Indiana 46805 USA

研究了用于桥面铺装层掺不连续合成纤维(非金属纤维)混凝土的干燥收缩和时间响应。所研究的混凝土包括:乳胶改性混凝土(latex-modified concrete,LMC)、硅灰混凝土(micro-silica concrete,MSC)和粉煤灰混凝土(fly ash concrete,FAC)。... 详细信息

研究了用于桥面铺装层掺不连续合成纤维(非金属纤维)混凝土的干燥收缩和时间响应。所研究的混凝土包括:乳胶改性混凝土(latex-modified concrete,LMC)、硅灰混凝土(micro-silica concrete,MSC)和粉煤灰混凝土(fly ash concrete,FAC)。这些桥面铺装层即使经过仔细的配合比设计和精细施工仍会出现早期和后期的收缩开裂,这是因为铺装层暴露于干燥环境中的巨大表面积、低水灰比和仅约55mm的厚度。因此,一般认为在铺装层中添加合成短纤维不仅可增强其抗拉强度和韧性,而且能降低混凝土的干缩应变。分别浇注了LMC,MSC和FAC素混凝土和掺有纤维的混凝土铺装层,并在同种混凝土中采用了不同类型的纤维。考虑到可施工性,其纤维的最大掺量为1.78kg/m3。对各种不同类型的铺装层混凝土均按照ASTM C157进行干缩应变测量。干缩测试结果表明掺有纤维的混凝土较之素混凝土具有较低的干缩应变。同时测定了各种混凝土的干缩经时变化、抗压强度与抗折强度及渗透性,并进行了对照分析。

关键词：铺装层纤维收缩渗透性桥面乳胶改性混凝土硅灰混凝土粉煤灰混凝土