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Determination of Natural Logarithm of Diffusion Coefficient and Activation Energy of Thin Layer Drying Process of Ginger Rhizome Slices

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World Journal of Engineering and Technology 2024年第1期12卷 213-228页

作者： austin Ikechukwu Gbasouzor Sam Nna Omenyi Sabuj Mallik Jude E. Njoku Department of Agricultural and Biological Engineering College of Engineering Purdue University West Lafayette IN USA Department of Mechanical Engineering Nnamdi Azikiwe University Awka Nigeria Department of Mechanical and Manufacturing and Built Environment School of Engineering University of Derby Derby UK Faculty of Engineering and Science University of Greenwich Kent UK

This study is an extension of the previous work done with ARS-680 Environmental Chamber. Drying is a complex operation that demands much energy and time. Drying is essentially important for preservation of ginger rhizome. Drying of ginger was modeled, and then the effective diffusion coefficient and activation energy were determined. For this purpose, the experiments were done at six levels of varied temperatures: 10°C, 20°C, 30°C, 40°C, 50°C and 60°C. The values of effective diffusion coefficients obtained in this work for the variously treated ginger rhizomes closely agreed with the average effective diffusion coefficients of other notable authors who determined the drying kinetics and convective heat transfer coefficients of ginger slices.

关键词： Activation Energy Diffusion Coefficients Ginger Rhizomes Drying Model Drying Time Moisture Ratio Thin Layer

Dynamic Signature Verification Using Pattern Recognition

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Journal of Software Engineering and Applications 2024年第5期17卷 214-227页

作者： Emmanuel Nwabueze Ekwonwune Duroha austin Ekekwe Chinyere Iheakachi Ubochi Henry Chinedu Oleribe Department of Computer Science Imo State University Owerri Nigeria Department of Computer Science Gregory University Abia Nigeria ICT Department Alvan Ikoku University of Education Owerri Nigeria

Dynamic signature is a biometric modality that recognizes an individual’s anatomic and behavioural characteristics when signing their name. The rampant case of signature falsification (Identity Theft) was the key motivating factor for embarking on this study. This study was necessitated by the damages and dangers posed by signature forgery coupled with the intractable nature of the problem. The aim and objectives of this study is to design a proactive and responsive system that could compare two signature samples and detect the correct signature against the forged one. Dynamic Signature verification is an important biometric technique that aims to detect whether a given signature is genuine or forged. In this research work, Convolutional Neural Networks (CNNsor ConvNet) which is a class of deep, feed forward artificial neural networks that has successfully been applied to analysing visual imagery was used to train the model. The signature images are stored in a file directory structure which the Keras Python library can work with. Then the CNN was implemented in python using the Keras with the TensorFlow backend to learn the patterns associated with the signature. The result showed that for the same CNNs-based network experimental result of average accuracy, the larger the training dataset, the higher the test accuracy. However, when the training dataset are insufficient, better results can be obtained. The paper concluded that by training datasets using CNNs network, 98% accuracy in the result was recorded, in the experimental part, the model achieved a high degree of accuracy in the classification of the biometric parameters used.

关键词： Verification Security Biometrics Signature Authentication Model Pattern Recognition Dynamic

Analysis of Secured Cloud Data Storage Model for Information

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Journal of Software Engineering and Applications 2024年第5期17卷 297-320页

作者： Emmanuel Nwabueze Ekwonwune Udo Chukwuebuka Chigozie Duroha austin Ekekwe Georgina Chekwube Nwankwo Department of Computer Science Imo State University Owerri Nigeria Department of Computer Science Gregory University Abia Nigeria Department of Computer Science Anambra State University Awka Nigeria

This paper was motivated by the existing problems of Cloud Data storage in Imo State University, Nigeria such as outsourced data causing the loss of data and misuse of customer information by unauthorized users or hackers, thereby making customer/client data visible and unprotected. Also, this led to enormous risk of the clients/customers due to defective equipment, bugs, faulty servers, and specious actions. The aim if this paper therefore is to analyze a secure model using Unicode Transformation Format (UTF) base 64 algorithms for storage of data in cloud securely. The methodology used was Object Orientated Hypermedia Analysis and Design Methodology (OOHADM) was adopted. Python was used to develop the security model;the role-based access control (RBAC) and multi-factor authentication (MFA) to enhance security Algorithm were integrated into the Information System developed with HTML 5, JavaScript, Cascading Style Sheet (CSS) version 3 and PHP7. This paper also discussed some of the following concepts;Development of Computing in Cloud, Characteristics of computing, Cloud deployment Model, Cloud Service Models, etc. The results showed that the proposed enhanced security model for information systems of cooperate platform handled multiple authorization and authentication menace, that only one login page will direct all login requests of the different modules to one Single Sign On Server (SSOS). This will in turn redirect users to their requested resources/module when authenticated, leveraging on the Geo-location integration for physical location validation. The emergence of this newly developed system will solve the shortcomings of the existing systems and reduce time and resources incurred while using the existing system.

关键词： Cloud Data Information Model Data Storage Cloud Computing Security System Data Encryption

Common workflows for computing material properties using different quantum engines

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npj Computational Materials 2021年第1期7卷 1202-1213页

作者： Sebastiaan P.Huber Emanuele Bosoni Marnik Bercx Jens Bröder Augustin Degomme Vladimir Dikan Kristjan Eimre Espen Flage-Larsen Alberto Garcia Luigi Genovese Dominik Gresch Conrad Johnston Guido Petretto Samuel Poncé Gian-Marco Rignanese Christopher J.Sewell Berend Smit Vasily Tseplyaev Martin Uhrin Daniel Wortmann Aliaksandr V.Yakutovich austin zadoks Pezhman Zarabadi-Poor Bonan Zhu Nicola Marzari Giovanni Pizzi Theory and Simulation of Materials(THEOS)and National Centre for Computational Design and Discovery of Novel Materials(MARVEL) École Polytechnique Fédérale de LausanneLausanneSwitzerland Institut de Ciència de Materials de Barcelona ICMAB-CSICBellaterraSpain Peter Grünberg Institut and Institute for Advanced Simulation Forschungszentrum JülichJülichGermany Department of Physics RWTH Aachen UniversityAachenGermany CEA IRIG-MEM-L_SimUniv.Grenoble-AlpesGrenobleFrance Nanotech@surfaces Laboratory Swiss Federal Laboratories for Materials Science and Technology(Empa)DübendorfSwitzerland SINTEF Industry Materials PhysicsOsloNorway Department of Physics University of OsloOsloNorway Microsoft Station Q University of CaliforniaSanta BarbaraCAUSA Atomistic Simulation Centre School of Mathematics and PhysicsQueen’s University BelfastBelfastUK UCLouvain Institut de la Matière Condensée et des Nanosciences(IMCN)Louvain-la-NeuveBelgium Laboratory of Molecular Simulation(LSMO) Institut des sciences et ingénierie chimiques(ISIC)École Polytechnique Fédérale de Lausanne(EPFL)ValaisSionSwitzerland Department of Chemistry Claverton DownUniversity of BathBathUK The Faraday Institution DidcotUK Department of Chemistry University College LondonLondonUK

The prediction of material properties based on density-functional theory has become routinely common,thanks,in part,to the steady increase in the number and robustness of available simulation *** plurality of codes and methods is both a boon and a *** providing great opportunities for cross-verification,these packages adopt different methods,algorithms,and paradigms,making it challenging to choose,master,and efficiently use *** demonstrate how developing common interfaces for workflows that automatically compute material properties greatly simplifies interoperability and *** introduce design rules for reusable,code-agnostic,workflow interfaces to compute well-defined material properties,which we implement for eleven quantum engines and use to compute various material *** implementation encodes carefully selected simulation parameters and workflow logic,making the implementer’s expertise of the quantum engine directly available to *** workflows are made available as open-source and full reproducibility of the workflows is guaranteed through the use of the AiiDA infrastructure.

关键词： quantum routine material

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通用汽车想为车载系统另起炉灶

商业周刊（中文版） 2024年第7期 56-61页

作者： austin CARR DAVID WELCH ARIEL DAVIS(图) 汪泽(译) 不详

2024款雪佛兰开拓者EV(Chevrolet Blazer EV)是迈克尔·沃尔德伦(Michael Waldron)拥有过的最漂亮的座驾。他去年11月购买了这辆6.2万美元的电动SUV,深深地迷上了它的“炫红”色彩,丝滑流畅的加速以及豪华的内饰,简洁的显示屏排列在仪... 详细信息

2024款雪佛兰开拓者EV(Chevrolet Blazer EV)是迈克尔·沃尔德伦(Michael Waldron)拥有过的最漂亮的座驾。他去年11月购买了这辆6.2万美元的电动SUV,深深地迷上了它的“炫红”色彩,丝滑流畅的加速以及豪华的内饰,简洁的显示屏排列在仪表盘上。只是少了一样重要事物:苹果公司(Apple)的CarPlay。

关键词：车载系统仪表盘座驾通用汽车内饰 SUV 苹果公司沃尔德

法医检案中常见客体上接触性DNA检验效果比较

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绍兴文理学院学报 2024年第2期44卷 78-87页

作者：范光耀鞠天格 WUO NIXON austin 彭长秀绍兴文理学院医学院浙江绍兴312000 绍兴文理学院生命与环境科学学院浙江绍兴312000

目的:接触性DNA在鉴定犯罪嫌疑人身份方面起着至关重要的作用.因客体表面材质的差异,嫌疑人接触过的某些客体上DNA常难于保留而不易检测.若能对不同种类客体的接触性DNA检验效果进行合理预判,对后续的法医基因分型将至关重要.材料:模拟2... 详细信息

目的:接触性DNA在鉴定犯罪嫌疑人身份方面起着至关重要的作用.因客体表面材质的差异,嫌疑人接触过的某些客体上DNA常难于保留而不易检测.若能对不同种类客体的接触性DNA检验效果进行合理预判,对后续的法医基因分型将至关重要.材料:模拟24种不同客体上的接触性DNA.方法:双拭子法采集DNA,Microcon■离心浓缩,GlobalFilter■扩增试剂盒基因分型和Quantifiler■Duo试剂盒定量DNA.分别比较24种客体和进一步归类五种材质上的接触性DNA的平均峰高度(APH)、平均峰面积(APA)和等位基因检出率.结果:旋转式开关的检验效果最好,眼镜框架、塑料袋封条和笔筒次之.塑料类客体表面上的DNA检出成功率优于玻璃、金属、木质和橡胶类客体.结论:不同类客体之间的接触性DNA检验效果存在差异.

关键词：法医学接触性DNA 客体短串联重复 DNA分型图谱

Mitigating the Prevalence of Diabetic Retinopathy in the United States: Utilization of the Chronic Care Model as a Public Health Framework

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Open Journal of Ophthalmology 2024年第2期14卷 103-116页

作者： Anthony Obiyom Kamalu austin Ebhodaghe Ekeoba Emeka Canice Uzor Christian Chukwuka Duru Obinna Princewill Anyatonwu Ogemdi Emmanuel Adiele Chibuike Reginald Amuzie Chima Lawrence Odoemenam Public Health Department Louisiana State University Shreveport Shreveport USA College of Optometry State University of New York New York USA Faculty of Medicine and Health Sciences Department of Optometry Imo State University Owerri Nigeria Epidemiology and Global Health Unit Department of Public Health and Clinical Medicine Umea University Umea Sweden College of Medicine Georgetown University Washington DC USA Public Health Department School of Allied Health Professionals Louisiana State University Health Shreveport Shreveport USA

As the prevalence of diabetic retinopathy continues to be on the rise, the Chronic Care Model (CCM) offers a transformative, patient-focused approach for efficient diabetic retinopathy care, emphasizing the need for urgent and innovative strategies in the United States. The model integrates community resources, healthcare organizations, self-management support, delivery system design, decision support, and clinical information systems. Addressing challenges and solutions, the model emphasizes proactive and preventive measures, collaborative multidisciplinary care, technological integration, and overcoming resistance to change. This paper proposes the utilization of the Chronic Care Model (CCM) as a possible public health framework for comprehensive management of diabetic retinopathy in the United States. Implementing the CCM offers a comprehensive approach to diabetic retinopathy care, addressing both individual and systemic factors, essential for improving public health outcomes.

关键词： Chronic Care Model Diabetes Diabetic Retinopathy Model Implementation Vision Care

High surface area biocarbon monoliths for methane storage

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Green Energy & Environment 2023年第5期8卷 1308-1324页

作者： Elizabeth Michaelis Renfeng Nie Douglas austin Yanfeng Yue Department of Chemistry Delaware State UniversityDoverDE 19901United States College of Chemical Engineering Zhengzhou UniversityZhengzhouHenan450001China

New energy sources that reduce the volume of harmful gases such as SO_(x)and NO_(x)released into the atmosphere are in constant *** gas,primarily made up of methane,is being widely used as one reliable energy source for heating and electricity generation due to its high combustion ***,natural gas accounts for a large portion of electricity generation and chemical feedstock in manufacturing plastics and other commercially important organic *** the near future,natural gas will be widely used as a fuel for ***,a practical storage device for its storage and transportation is very beneficial to the deployment of natural gas as an energy source for new *** this tutorial review,biomaterials-based carbon monoliths(CMs),one kind of carbonaceous material,was reviewed as an adsorbent for natural gas(methane)adsorption and storage.

关键词： Activated carbon Carbon monolith Methane storage High surface area Activation agent

Prerequisite Relations among Knowledge Units:A Case Study of Computer Science Domain

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Computer Modeling in Engineering & Sciences 2022年第12期133卷 639-652页

作者： Fatema Nafa Amal Babour austin Melton Department of Computer Science Salem State UniversitySalemMA 01970USA Information Systems Department Faculty of Computing and Information TechnologyKing Abdulaziz UniversityJeddah21589Saudi Arabia Department of Computer Science Kent State UniversityKentOH 44240USA

The importance of prerequisites for education has recently become a promising research *** work proposes a statistical model for measuring dependencies in learning resources between knowledge *** are expected to present knowledge units in a semantically well-organized manner to facilitate students’understanding of the *** proposed model reveals how inner concepts of a knowledge unit are dependent on each other and on concepts not in the knowledge *** help understand the complexity of the inner concepts themselves,WordNet is included as an external knowledge base in *** goal is to develop a model that will enable instructors to evaluate whether or not a learning regime has hidden relationships which might hinder students’ability to understand the *** evaluation,employing three textbooks,shows that the proposed model succeeds in discovering hidden relationships among knowledge units in learning resources and in exposing the knowledge gaps in some knowledge units.

关键词： Knowledge graph text mining knowledge unit graph mining