检索结果-南通市图书馆

Journal of Electronics Cooling and Thermal Control 2017年第3期7卷 63-77页

作者： Ibrahim m.Abdel-motaleb syed m.qadri Department of Electrical Engineering Northern Illinois UniversityDeKalbILUSA

We report on the fabrication and characterization of multi-leg bismuth telluride (Bi2Te3) and antimony telluride (Sb2Te3) thermoelectric devices. The two materials were deposited, on top of SiO2/Si substrates, using Pulsed Laser Deposition (PLD). The SiO2 layer was used to provide insulation between the devices and the Si wafer. Copper was used as an electrical connector and a contact for the junctions. Four devices were built, where the Bi2Te3 and Sb2Te3 were deposited at substrate temperatures of 100°C, 200°C, 300°C and 400°C. The results show that the device has a voltage sensitivity of up to 146 μV/K and temperature sensitivity of 6.8 K/mV.

关键词： Thermoelectric Devices Bismuth Telluride Bi2Te3 Antimony Telluride Sb2Te3 Pulsed Laser Deposition PLD Seebeck Effect

Steel Surface Defect Detection Using Learnable memory Vision Transformer

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Computers, materials & Continua 2025年第1期82卷 499-520页

作者： syed Tasnimul Karim Ayon Farhan md.Siraj Jia Uddin Department of Computer Science and Engineering BRAC UniversityDhaka1212Bangladesh Department of AI and Big Data Endicott CollegeWoosong UniversityDaejeon34606Republic of Korea

This study investigates the application of Learnable memory Vision Transformers(LmViT)for detecting metal surface flaws,comparing their performance with traditional CNNs,specifically ResNet18 and ResNet50,as well as other transformer-based models including Token to Token ViT,ViT withoutmemory,and Parallel *** awidely-used steel surface defect dataset,the research applies data augmentation and t-distributed stochastic neighbor embedding(t-SNE)to enhance feature extraction and *** techniques mitigated overfitting,stabilized training,and improved generalization *** LmViT model achieved a test accuracy of 97.22%,significantly outperforming ResNet18(88.89%)and ResNet50(88.90%),aswell as the Token to TokenViT(88.46%),ViT without memory(87.18),and Parallel ViT(91.03%).Furthermore,LmViT exhibited superior training and validation performance,attaining a validation accuracy of 98.2%compared to 91.0%for ResNet 18,96.0%for ResNet50,and 89.12%,87.51%,and 91.21%for Token to Token ViT,ViT without memory,and Parallel ViT,*** findings highlight the LmViT’s ability to capture long-range dependencies in images,an areawhere CNNs struggle due to their reliance on local receptive fields and hierarchical feature *** additional transformer-based models also demonstrate improved performance in capturing complex features over CNNs,with LmViT excelling particularly at detecting subtle and complex defects,which is critical for maintaining product quality and operational efficiency in industrial *** instance,the LmViT model successfully identified fine scratches and minor surface irregularities that CNNs often *** study not only demonstrates LmViT’s potential for real-world defect detection but also underscores the promise of other transformer-based architectures like Token to Token ViT,ViT without memory,and Parallel ViT in industrial scenarios where complex spatial relationships are *** research m

关键词： Learnable memory Vision Transformer(LmViT) Convolutional Neural Networks(CNN) metal surface defect detection deep learning,computer vision image classification learnable memory gradient clipping label smoothing t-SNE visualization

Enhancing Skin Cancer Diagnosis with Deep Learning:A Hybrid CNN-RNN Approach

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Computers, materials & Continua 2024年第4期79卷 1497-1519页

作者： syeda Shamaila Zareen Guangmin Sun mahwish Kundi syed Furqan qadri Salman qadri Faculty of Information Technology Beijing University of TechnologyBeijing100124China Computer Science International Engineering Collage Maynooth UniversityKildareW23 F2H6Irland Research Center for Data Hub and Security Zhejiang LabHangzhou311121China Computer Science Department MNS University of AgricultureMultan59220Pakistan

Skin cancer diagnosis is difficult due to lesion presentation variability. Conventionalmethods struggle to manuallyextract features and capture lesions spatial and temporal variations. This study introduces a deep learning-basedConvolutional and Recurrent Neural Network (CNN-RNN) model with a ResNet-50 architecture which usedas the feature extractor to enhance skin cancer classification. Leveraging synergistic spatial feature extractionand temporal sequence learning, the model demonstrates robust performance on a dataset of 9000 skin lesionphotos from nine cancer types. Using pre-trained ResNet-50 for spatial data extraction and Long Short-Termmemory (LSTm) for temporal dependencies, the model achieves a high average recognition accuracy, surpassingprevious methods. The comprehensive evaluation, including accuracy, precision, recall, and F1-score, underscoresthe model’s competence in categorizing skin cancer types. This research contributes a sophisticated model andvaluable guidance for deep learning-based diagnostics, also this model excels in overcoming spatial and temporalcomplexities, offering a sophisticated solution for dermatological diagnostics research.

关键词： Skin cancer classification deep learning Convolutional Neural Network(CNN) RNN ResNet-50

How Does COVID-19 Affect Demographic,Administrative,and Social Economic Domain?Empirical Evidence from an Emerging Economy

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

International Journal of mental Health Promotion 2022年第5期24卷 635-648页

作者： Safwan qadri Shixiang Chen syed Usman qadri School of Political Science and Public Administration Local Government Public Service Innovation Research CenterWuhan UniversityWuhan430072China Department of management Science Time InstituteMultan60650Pakistan

Worldwide,the COVID-19 pandemic has had a signiﬁcant impact on social and economic conditions as well as mental and physical *** is considered in high ranks on Uncertainty Avoidance Index(UAI).The peo-ple of Pakistan have already faced numerous obstacles in terms of food and housing *** security,inﬂated prices of food items,andﬁnancial distress are the foremost vital challenges of Pakistan’s people during the *** study examines the people’s perception of social,economic,and psychological impact and explores the causes and trends of spreading the COVID-19 pandemic in Pakistan.A primary survey method was conducted to collect the data from all Punjab divisions via questionnaire,and 471 respondents wereﬁnally selected for data *** data collection instrument was a questionnaire,and the data analysis tool was ***,analysts,business professionals,economists,business faculty staff,and civil society are the study’s ***ﬁndings show that the overall social and economic life has been affected(82%of respondents agree)by the COVID-19 pandemic.60.5%of respondents manage their spending through salary(mean value=4.45),while 45%use savings(mean value=4.25).moreover,Government support(mean value=3.95)plays a vital role in managing expenditure in this COVID-19 outbreak in ***,this study conﬁrms that the lock-down implementation measure(mean value=2.20)is not considered useful in reducing COVID-19 due to Pakistan’sﬁnancial and economic *** study concluded the social distance and testing measures are vital tools in reducing the COVID-19 pandemic in ***,the study established that micro-smart lockdown,increased COVID-19 testing kits,and adequate medical equipment in the Hospital of Pakistan are the key mechanism to control the ***,this study recommends that thorough long-term plan-ning be undertaken to mitigate the pandemic’s worst effects and develop a comprehensiv

关键词： COVID-19 health socioeconomic socio-demographic uncertainty avoidance index micro-smart lockdown

Integration of ID and 3D modeling schemes to establish the Farewell Formation as a self-sourced reservoir in Kupe Field, Taranaki Basin, New Zealand

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Frontiers of Earth Science 2021年第3期15卷 631-648页

作者： S.m.Talha qadri md Aminul ISLAm mohamad Ragab SHALABY syed Haroon ALI Department of Earth Sciences University of TorontoToronto M5S2E8Canada Geosciences Program Faculty of ScienceUniversiti Brunei DarussalamBandar Seri Begawan BE 1410Negara Brunei Darussalam Geology Department Faculty of ScienceTanta UniversityTanta 31527Egypt Department of Earth Sciences University of SargodhaSargodha 40100Pakistan

Along with conventional methods,this paper proposed a method in which ID and 3D models are integrated to identify the self-sourced reservoir potential of the Farewell Formation in the Kupe Gas Field within the Taranaki Basin,New *** rock characteristics were evaluated at both field and basin scales by investigating source rock maturity,type of organic matter,and hydrocarbon generation potential by rock pyrolysis,using Rock-Eval 2 and *** ID thermal and burial history model established the rate of sedimentation and thermal history of the Kupe 4 *** characterization at field-scale was determined by seismic interpretation,well log analysis,and 3D structural and petrophysical *** sediments of the Farewell Formation contain types Ⅱ-Ⅲ(oil/gas prone)and type Ⅲ(gas prone)and have fair-to-excellent generation *** oxygen and hydrogen indices ranged from 3 to 476 mg C0_(2)/g TOC and 26 to 356 mg HC/g TOC,respectively,whereas the thermal maturity determined by vitrinite reflectance values ranged between 0.3%and 0.72%,indicating that the Farewell Formation is in immature-to-mature hydrocarbon generation ***,Farewell Formation was verified to be a good source ***,structural interpretations demonstrated the structural complexity of an extensional and contractional regime within the reservoir *** faults indicated a good reservoir property there with a trapping mechanism as well as migration paths.A well-log-based petrophysical analysis established the presence of up to 70%hydrocarbon saturation within the pore spaces of Farewell *** 3D models confirmed that the Farewell Formation has significant sand zones and hydrocarbon-saturated zones,thereby proving its very good reservoir *** has been proved that the ID and 3D structural schemes,integrated with geological techniques,was vital in identifying the Kupe Field as a self-sourced reservoir.

关键词： self-sourced reservoir Kupe Field Farewell Formation Taranaki Basin

Analysis of genetic relationship in mutant silkworm strains of Bom-byx mori using inter simple sequence repeat (ISSR) markers

在线全文

学校读者我要写书评

暂无评论

Journal of Genetics and Genomics 2008年第5期35卷 291-297页

作者： Dhanikachalam Velu Kangayam m. Ponnuvel murugiah muthulakshmi Randhir K. Sinha syed m.H. qadri Biotechnology Laboratory Central Sericultural Germplasm Resources Centre Hosur-635109 Tamil Nadu India

Amplified inter simple sequence repeats （ISSR） markers were used to determine genetic relationships among mutant silkworm strains of Bombyx mori. Fifteen ISSR primers containing simple sequence repeat （SSR） motifs were used in this study. A total of 113 markers were produced among 20 mutant strains, of which 73.45% were found to be polymorphic. In selected mutant genetic stocks, the average number of observed allele was （1.7080 ± 0.4567）, effective alleles （1.5194 ± 0.3950） and genetic diversity （Ht）（0.2901 ± 0.0415）. The dendrogram produced using the unweighted pair group method with arithmetic means （UPGmA） and cluster analysis made using Nei＇s genetic distance resulted in the formation of one major group containing 6 groups separated 20 mutant silkworm strains. Therefore, ISSR amplification is a valuable method for determining the genetic variability among mutant silkworm strains. This efficient molecular marker would be useful for characterizing a considerable number of silkworm strains maintained at the germplasm center.

关键词： genetic diversity Bombyx mori mutant strains ISSR

Robust stability analysis of Takagi-Sugeno uncertain stochastic fuzzy recurrent neural networks with mixed time-varying delays

在线全文

学校读者我要写书评

暂无评论

Chinese Physics B 2011年第8期20卷 1-15页

作者： m.syed Ali Department of mathematics Thiruvalluvar UniversityVellore-632 106TamilnaduIndia

In this paper, the global stability of Takagi-Sugeno （TS） uncertain stochastic fuzzy recurrent neural networks with discrete and distributed time-varying delays （TSUSFRNNs） is considered. A novel LmI-based stability criterion is obtained by using Lyapunov functional theory to guarantee the asymptotic stability of TSUSFRNNs. The proposed stability conditions are demonstrated through numerical examples. Furthermore, the supplementary requirement that the time derivative of time-varying delays must be smaller than one is removed. Comparison results are demonstrated to show that the proposed method is more able to guarantee the widest stability region than the other methods available in the existing literature.

关键词： recurrent neural networks linear matrix inequality Lyapunov stability time-varyingdelays TS fuzzy model

Novel delay-dependent stability analysis of Takagi-Sugeno fuzzy uncertain neural networks with time varying delays

在线全文

学校读者我要写书评

暂无评论

Chinese Physics B 2012年第7期21卷 49-60页

作者： m. syed Ali Department of mathematics Thiruvalluvar University

This paper presents the stability analysis for a class of neural networks with time varying delays that are represented by the Takagi^ugeno IT-S） model. The main results given here focus on the stability criteria using a new Lyapunov functional. New relaxed conditions and new linear matrix inequality-based designs are proposed that outperform the previous results found in the literature. Numerical examples are provided to show that the achieved conditions are less conservative than the existing ones in the literature.

关键词： neutral neural networks linear matrix inequality Lyapunov stability time varying delays

Stability analysis of markovian jumping stochastic Cohen Grossberg neural networks with discrete and distributed time varying delays

在线全文

学校读者我要写书评

暂无评论

Chinese Physics B 2014年第6期23卷 131-137页

作者： m.syed Ali Department of mathematics Thiruvalluvar University

In this paper, the global asymptotic stability problem of markovian jumping stochastic Cohen-Grossberg neural networks with discrete and distributed time-varying delays （mJSCGNNs） is considered. A novel LmI-based stability criterion is obtained by constructing a new Lyapunov functional to guarantee the asymptotic stability of mJSCGNNs. Our results can be easily verified and they are also less restrictive than previously known criteria and can be applied to Cohen-Grossberg neural networks, recurrent neural networks, and cellular neural networks. Finally, the proposed stability conditions are demonstrated with numerical examples.

关键词： Cohen-Grossberg neural networks global asymptotic stability linear matrix inequality Lyapunovfunctional time-varying delays

mapping cloud computing in university e-governance system

在线全文

学校读者我要写书评

暂无评论

International Journal of Intelligent Computing and Cybernetics 2018年第1期11卷 141-162页

作者： maroof Naieem.qadri S.m.K.Quadri Directorate of IT&SS University of KashmirSrinagarIndia and PG Department of Computer ScienceUniversity of KashmirSrinagarIndia Department of Computer Science Jamia Millia IslamiaNew DelhiIndia

Purpose–The purpose of this paper is to propose a model to map the on-premise computing system of the university with cloud computing for achieving an effective and reliable university e-governance(e-gov)***/methodology/approach–The proposed model incorporates the university’s internal e-gov system with cloud computing in order to achieve better reliability,accessibility and availability of e-gov services while keeping the recurring expenditure *** model has been implemented(and tested on a university e-gov system)in the University of Kashmir(UOK);case study of this implementation has been chosen as the research methodology to discuss and demonstrate the proposed ***–According to the results based on practical implementation,the proposed model is ideal for e-governed systems as it provided adequate cost savings and high availability(HA)with operational ease,apart from continuing to have the necessary security in place to maintain confidential information such as student details,grades,*** implications–The implication of this study is to achieve HA and to reduce the cost from using external clouds,mapping internal IT servers of the university with the external cloud computing ***/value–Because no established mapping model for universities has been provided for effective,low-cost,highly available university e-gov system,the proposed mapping model through this paper closes this gap and provides guidelines to implement a hybrid-mapped e-gov model for universities while keeping the recurring expenditure on cloud computing *** paper provides the perceptions of its adoption at UOK for achieving high reliability,accessibility and uptime of its e-gov applications while keeping the recurring expenditure on cloud computing minimal.

关键词： Universities Cloud computing Cloud services Hybrid computing mapped computing University e-governance