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Automated Video Generation of Moving Digits from Text Using Deep Deconvolutional Generative Adversarial Network

Computers, Materials & Continua 2023年第11期77卷 2359-2383页

作者： anwar ullah Xinguo Yu Muhammad Numan National Engineering Research Center for E-Learning Central China Normal UniversityWuhan430079China Wollongong Joint Institute Central China Normal UniversityWuhan430079China

Generating realistic and synthetic video from text is a highly challenging task due to the multitude of issues involved,including digit deformation,noise interference between frames,blurred output,and the need for temporal coherence across *** this paper,we propose a novel approach for generating coherent videos of moving digits from textual input using a Deep Deconvolutional Generative Adversarial Network(DD-GAN).The DDGAN comprises a Deep Deconvolutional Neural Network(DDNN)as a Generator(G)and a modified Deep Convolutional Neural Network(DCNN)as a Discriminator(D)to ensure temporal coherence between adjacent *** proposed research involves several ***,the input text is fed into a Long Short Term Memory(LSTM)based text encoder and then smoothed using Conditioning Augmentation(CA)techniques to enhance the effectiveness of the Generator(G).Next,using a DDNN to generate video frames by incorporating enhanced text and random noise and modifying a DCNN to act as a Discriminator(D),effectively distinguishing between generated and real *** research evaluates the quality of the generated videos using standard metrics like Inception Score(IS),Fréchet Inception Distance(FID),Fréchet Inception Distance for video(FID2vid),and Generative Adversarial Metric(GAM),along with a human study based on realism,coherence,and *** conducting experiments on Single-Digit Bouncing MNIST GIFs(SBMG),Two-Digit Bouncing MNIST GIFs(TBMG),and a custom dataset of essential mathematics videos with related text,this research demonstrates significant improvements in both metrics and human study results,confirming the effectiveness of *** research also took the exciting challenge of generating preschool math videos from text,handling complex structures,digits,and symbols,and achieving successful *** proposed research demonstrates promising results for generating coherent videos from textual input.

关键词： Generative Adversarial Network(GAN) deconvolutional neural network convolutional neural network Inception Score(IS) temporal coherence Fréchet Inception Distance(FID) Generative Adversarial Metric(GAM)

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High-Resolution Realistic Image Synthesis from Text Description Using Iteratively Generative Adversarial Network

High-Resolution Realistic Image Synthesis from Text Descript...

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作者： anwar ullah 华中师范大学

学位级别：硕士

生成对抗网络(GAN)是两个深层神经网络的结合,即生成器(G)和鉴别器(D)。二者之间通过将一个数据与另一个数据进行对比的竞争方式进行培训,例如“G”生成新数据,而“D”验证数据(即检验生成的数据是真实的或假的)。由于G&D强大的网络能... 详细信息

生成对抗网络(GAN)是两个深层神经网络的结合,即生成器(G)和鉴别器(D)。二者之间通过将一个数据与另一个数据进行对比的竞争方式进行培训,例如“G”生成新数据,而“D”验证数据(即检验生成的数据是真实的或假的)。由于G&D强大的网络能力和竞争性的培训方式,GAN能够通过文本描述合成或生成合理逼真的图像、草图和视频。此外,GAN在图像、草图和视频合成或生成应用方面表现出了巨大的能力。在这项工作中,我们提出了一种新的迭代生成对抗网络(iGAN),它允许我们从文本描述中合成高分辨率的真实图像。从文本描述合成或生成高分辨率真实图像的一个阶段,主要是会出现模糊的伪影和模式折叠问题。为了缓解这些问题,我们将模型分为三个阶段来取代一个阶段的模型。在第一阶段,GAN根据文本描述合成了一幅低分辨率64x64像素的图像,具有较少的模式折叠和模糊的伪影问题。在第二阶段,GAN再次利用第一阶段和文本描述的结果,合成了分辨率更高的128x128像素图像,模式折叠和模糊伪影问题比第一阶段相对降低。在最后一阶段,GAN利用第二阶段和文本描述的结果,合成了一幅高分辨率256x256图像,这时己几乎没有模式折叠和模糊伪影的问题。我们提出的IGAN在CUB birds数据集和Oxford-102 flowers数据集上显示了非常好的结果。与其他最先进的方法相比,iGAN显示出良好的Inception Score和Human Rank。此外,我们也将iGAN应用于MS COCO数据集,以解决更复杂的文本和图像合成问题。

关键词：生成对抗网络(GAN) 生成器(G) 和鉴别器(D) Text-to-Image(T2I)Synthesis high-resolution realistic images CUB birds数据集 Oxford-102 flowers数据集 MS COCO数据集 Inception Score Human rank

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Assessment of BRRI Whole Feed Combine Harvester (Model BRRI WCH2021) for Mechanized Rice Harvesting in Bangladesh

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Agricultural Sciences 2024年第2期15卷 274-291页

作者： Arafat ullah Khan Akm Saiful Islam Md. Kamruzzaman Pintu Subrata Paul Md. Durrul Huda Md. anwar Hossen Md. Monirul Islam Md. Moudud Ahmmed Farm Machinery and Postharvest Technology Division Bangladesh Rice Research Institute Gazipur Bangladesh Workshop Machinery & Maintenance Division Bangladesh Rice Research Institute Gazipur Bangladesh

Agricultural mechanization plays a pivotal role in the transition from subsistence to commercial agriculture, with a particular focus on labour-intensive activities like harvesting. This study assesses the operational characteristics of the BRRI Whole Feed Combine Harvester (Model BRRI WCH2021) at the field level. Developed under the SFMRA project, the harvester’s technical performance and loss assessment were conducted during the Boro 2022 and Aman 2022 seasons in farmer fields in Bangladesh’s Rangpur region. The field efficiency of the harvester was determined to be 62.5% and 57.9% in the Boro and Aman seasons, respectively. Fuel consumption rates were recorded at 2.77 l/ha and 2.31 l/ha for the Boro and Aman seasons. The total harvesting losses, encompassing cutter bar, shatter, cylinder, and separation loss, averaged 0.56% and 0.48% in the Boro and Aman seasons, respectively. Mechanized harvesting with the BRRI Whole Feed Combine Harvester significantly reduced paddy losses by 5.81% compared to manual methods. The field evaluation results indicate the combine harvester’s satisfactory performance, highlighting its potential to alleviate labour demands during peak harvesting. The development of the BRRI WCH offers a sustainable solution for rice harvesting mechanization among progressive farmers. It paves the way for the broader adoption of advanced agricultural technology in Bangladesh.

关键词： BRRI Whole Feed Combine Harvester Field Efficiency Fuel Consumption Harvesting Loss

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A Decision-Based Hybrid Proxy Mobile IPv6 Scheme for Better Resources Utilization

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Computers, Materials & Continua 2022年第12期73卷 5151-5167页

作者： Habib ullah Khan anwar Hussain Shah Nazir Department of Accounting and Information Systems College of Business and Economics Qatar UniversityDohaQatar Department of Computer Science University of SwabiAnbarKPPakistan

Seamless mobility is always one of the major requirements of modern-day *** a heterogeneous and massive IoT environment,efficient network-based mobility protocol such as proxy mobile IPv6(PMIPv6),is potentially a good candidate for efficient mobility as well as resource utilization *** extensions are devised for performance in the research ***,a multi-criterion decision-based resourceefficient PMIPv6 extension is required to achieve efficiency when network resources are *** this research,a multi-criterion decision-based PMIPv6 scheme is devised that provides better performance when the Local Mobility Anchor(LMA)or Mobile Access Gateway(MAG)is *** objective is achieved by monitoring the load status of MAG or LMA and based on their status,the proposed scheme adapts itself to provide seamless mobility in addition to optimal *** proposed scheme is compared with the existing LMA and MAG-based mobility management protocol *** on the analysis of the comparison,the obtained results prove that providing a decision-based PMIPv6 scheme is better for service continuity as well as optimal performance in the context of required buffering,handover efficiency,and necessary signaling cost.

关键词： Proxy mobile IPv6 LMA MAG load balancing location-based PMIPv6

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Stochastic Analysis for the Dynamics of a Poliovirus Epidemic Model

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Computer Modeling in Engineering & Sciences 2023年第7期136卷 257-275页

作者： Ali Raza Dumitru Baleanu Zafar ullah Khan Muhammad Mohsin Nauman Ahmed Muhammad Rafiq Pervez anwar Department of Mathematics Government Maulana Zafar Ali Khan Graduate College WazirabadPunjab Higher Education Department(PHED)Lahore54000Pakistan Department of Mathematics Cankaya UniversityBalgatAnkara06530Turkey Department of Medical Research China Medical UniversityTaichung40402Taiwan Institute of Space Sciences Magurele-Bucharest077125Romania Department of Dermatology Rashid Latif Medical College LahoreLahore54000Pakistan Department of Mathematics Technische Universitat ChemnitzChemnitz6209111Germany Department of Mathematics and Statistics The University of LahoreLahore54590Pakistan Department of Mathematics Faculty of Science and TechnologyUniversity of Central PunjabLahore54000Pakistan Department of Biochemistry University of SialkotSialkot51311Pakistan

Most developing countries such as Afghanistan,Pakistan,India,Bangladesh,and many more are still fighting against *** to the World Health Organization,approximately eighteen million people have been infected with poliovirus in the last two *** Asia,still,some countries are suffering from the *** stochastic behavior of the poliovirus through the transition probabilities and non-parametric perturbation with fundamental properties are *** basic properties of the deterministic model are studied,equilibria,local stability around the stead states,and reproduction *** Maruyama,stochastic Euler,and stochastic Runge-Kutta study the behavior of complex stochastic differential *** main target of this study is to develop a nonstandard computational method that restores dynamical features like positivity,boundedness,and dynamical ***,the existing methods failed to fix the actual behavior of the *** comparison of the proposed approach with existing methods is investigated.

关键词： Poliovirus model differential equations methods analysis

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Food Habits and Helminth Parasites of Skittering Frog(Euphlyctis cyanophlyctis)in the Lower Dir,Pakistan

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Journal of Zoological Research 2020年第4期2卷 33-38页

作者： anwar ullah Khan Mohammad Attaullah Wali Khan Abdul Waris Shah Khalid Department of Zoology Shaheed Benazir Bhutto UniversitySheringalDir UpperKhyber PakhtunkhwaPakistan Department of Zoology University of MalakandPakistan Department of Biotechnology Quaid-I-Azam University IslamabadPakistan Department of Zoology Bacha Khan UniversityCharsaddaPakistan

A total of 30 specimens of Skittering frog(Euphlyctis cyanophlyctis),(Anura:Dicroglossidae)were captured from seven selected localities in the Dir Lower,Khyber Pakhtunkhwa province of Pakistan from April to August *** were euthanized with the help of Chloroform(CHcl3)*** biometry of each specimen was measured,then dissected to examine for helminth parasites and *** helminths were isolated,washed with normal saline at room temperature,and then preserved in 70%GL ethyl *** on,the parasites were classified and studied under the electric compound *** a total of 30 specimens,17(56.66%)were found infected with 62 helminths parasites belongs to four different *** four species,one was Cestodes Nematotaenia dispar species and remaining three were Nematodes *** species,Cosmocercoides(Raillietnema species)and Strongyloides *** with a percentage of 56.45%was the most *** the total of 30 specimens’alimentary canal,10 were found empty,containing nothing while in remaining 20 were full of 9 types of food materials which included insects ***,Beetles,Wasps,Spiders,Mosquito larvae and cockroaches,and non-living things like stone pebbles and mollusks *** the serial,flies and snails were in the lowest prevalence and ants were recorded the most important component of the frog *** the insects,ants have occurred in higher prevalence 44.50%and flies 1.15%with the lowest *** results emphasize the significance of further expected studies in the Dir Lower to get a good understanding of the helminth parasites with the ecological relations of their hosts.

关键词： Helminths parasites Diet composition E.cyanophlyctis Dir Lower Pakistan

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Hash Table Assisted Efficient File Level De-Duplication Scheme in SD-IoV Assisted Sensing Devices

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Intelligent Automation & Soft Computing 2023年第10期38卷 83-99页

作者： Ghawar Said Ata ullah anwar Ghani Muhammad Azeem Khalid Yahya Muhammad Bilal Sayed Chhattan Shah Department of Computer Science International Islamic UniversityIslamabad44000Pakistan Department of Computer Science National University of Modern LanguagesIslamabad44000Pakistan Department of Electrical and Electronics Engineering Nisantasi UniversityIstanbul34467Turkey Department of Computer Engineering Hankuk University of Foreign StudiesYongin-siGyeonggi-do17035Korea Department of Information and Communication Engineering Hankuk University of Foreign StudiesYongin-siGyeonggi-do17035Korea

The Internet of Things(IoT)and cloud technologies have encouraged massive data storage at central ***-defined networks(SDN)support the processing of data and restrict the transmission of duplicate *** is necessary to use a data de-duplication mechanism to reduce communication costs and storage *** State of the art schemes suffer from computational overhead due to deterministic or random tree-based tags generation which further increases as the file size *** paper presents an efficient file-level de-duplication scheme(EFDS)where the cost of creating tags is reduced by employing a hash table with key-value pair for each block of the ***,an algorithm for hash table-based duplicate block identification and storage(HDBIS)is presented based on fingerprints that maintain a linked list of similar duplicate blocks on the same *** tables normally have a consistent time complexity for lookup,generating,and deleting stored data regardless of the input *** experiential results show that the proposed EFDS scheme performs better compared to its counterparts.

关键词： Hash table de-duplication linked list IoT sensing devices

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Pashto Characters Recognition Using Multi-Class Enabled Support Vector Machine

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Computers, Materials & Continua 2021年第6期67卷 2831-2844页

作者： Sulaiman Khan Shah Nazir Habib ullah Khan anwar Hussain Department of Computer Science University of SwabiSwabiPakistan Department of Accounting and Information Systems College of Business and EconomicsQatar UniversityDohaQatar

During the last two decades signicant work has been reported in the eld of cursive language’s recognition especially,in the Arabic,the Urdu and the Persian *** unavailability of such work in the Pashto language is because of:the absence of a standard database and of signicant research work that ultimately acts as a big barrier for the research *** slight change in the Pashto characters’shape is an additional challenge for *** paper presents an efcient OCR system for the handwritten Pashto characters based on multi-class enabled support vector machine using manifold feature extraction *** feature extraction techniques include,tools such as zoning feature extractor,discrete cosine transform,discrete wavelet transform,and Gabor lters and histogram of oriented gradients.A hybrid feature map is developed by combining the manifold feature *** research work is performed by developing a medium-sized dataset of handwritten Pashto characters that encapsulate 200 handwritten samples for each 44 characters in the Pashto *** results are generated for the proposed model based on a manifold and hybrid feature *** overall accuracy rates of 63.30%,65.13%,68.55%,68.28%,67.02%and 83%are generated based on a zoning technique,HoGs,Gabor lter,DCT,DWT and hybrid feature maps *** of the proposed model is also tested by comparing its results with a convolution neural network *** convolution neural network-based model generated an accuracy rate of 81.02%smaller than the multi-class support vector *** highest accuracy rate of 83%for the multi-class SVM model based on a hybrid feature map reects the applicability of the proposed model.

关键词： Pashto multi-class support vector machine handwritten characters database zoning and histogram of oriented gradients

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Measuring quality of experience for 360-degree videos in virtual reality

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Science China(Information Sciences) 2020年第10期63卷 108-122页

作者： Muhammad Shahid anwar Jing WANG Asad ullah Wahab KHAN Sadique AHMAD Zesong FEI School of Information and Electronics Beijing Institute of Technology Faculty of Engineering Sciences and Technology Iqra University

In recent years, we witness dramatic growing attention in immersive media technologies like 360-degree videos and virtual reality(VR). However, measuring the quality-of-experience(QoE) for 360-degree VR videos is not a trivial task. Streaming such videos to head mounted displays(HMDs) is extremely bandwidth-demanding when compared to traditional 2D videos. In HTTP adaptive streaming, QoE tends to deteriorate significantly during fluctuating network conditions, which results in various bitrate changes and causes multiple stalling events during playback. Thus, understanding how the human visual system perceives 360-degree video with the effect of stalling and different bitrate levels becomes inevitable. In this paper, we investigate the impact of stalling on users QoE under different bitrate levels and the interaction between stalling event and bitrate level for 360-degree videos in VR. To aim this, we first build a 360-degree videos database by encoding videos in three different bitrate levels(1, 5, and 15 Mbps) with 4 K resolutions(3840×1920 pixels). We then simulate various stalling events in the videos and conduct a subjective experiment in a virtual reality environment to investigate the human responses. Finally, we use a Bayesian method to estimate and predict the QoE while measuring the quality drop owing to various stalling events and bitrate changes. Proposed solution and prediction results show a strong dependency between playback stalling and bitrate of 360-degree video in VR. Stalling always impacts the QoE of 360-degree videos, but the strength of this negative impact depends on the video bitrate level. The adverse effect of stalling events is more profound when bitrate level approaches to the high and low end, which is in close agreement with subjective opinion.

关键词： quality of experience stalling virtual reality 360-degree video

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Floristic composition and ecological gradient analyses of the Liakot Forests in the Kalam region of District Swat,Pakistan

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Journal of Forestry Research 2019年第4期30卷 1407-1416页

作者： Sohail anwar Shujaul Mulk Khan Zeeshan Ahmad Zahid ullah Majid Iqbal Department of Plant Sciences Quaid-i-Azam UniversityIslamabad 45320Pakistan Centre for Plant Science and Biodiversity University of SwatSwat 19130Pakistan

Kalam Kohistan is a dry,temperate hilly region in the Hindu Raj Series of the Greater Hindu Kush Mountains with diverse *** plant distribution and composition is expression of a range of various environmental variables,ecological and floristic attributes of vegetation in the Laikot Forests were therefore evaluated via consecutive explorative *** forests have not been evaluated ecologically before due to harsh climatic conditions and issues of accessibility and the study in hand is one of the first in its *** ecological techniques were used to sample forest vegetation and identify species in quadrats of 2 m×2 m for herbs,5 m×5 m for shrubs and 10 m×10 m for *** the data of 195 plant species and environmental factors were analyzed via Two-way Cluster Analysis and Canonical Correspondence Analysis using PCORD and CANOCO *** 195 plant species from 63 families were 27 species of Asteraceae,the most-speciose family,followed by Poaceae(20 spp.).The dominant life form was therophyte(86 spp.;44%share),followed by phanerophyte(41 spp.;21%share).For the leaf size spectrum,most prevalent was nanophyll(73 spp.;44%)followed by microphyll(66 spp.,34%)and mesophyll(44 spp.;23%).Calcium carbonate,pH,potassium,sand,silt,organic matter,slope aspect and grazing significantly influenced species composition,distribution and *** floristic variation in the region was diverse due to elevational and aspect gradients and thus devided into three *** vegetation zonation can be utilized for forest management,species and habitat *** in situ and ex situ conservation of threatened plant species may improve their conservation status in future if address properly.

关键词： Floristic composition Ecological factors Life form spectra Leaf form classes Elevation zones Canonical correspondence analysis(CCA)

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