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Effect of thermomechanical cyclic quenching and tempering treatments on microstructure,mechanical and electrochemical properties of AISI 1345 steel

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International Journal of Minerals,Metallurgy and Materials 2021年第4期28卷 688-698页

作者： Muhammad Arslan Hafeez Ameeq Farooq Kaab Bin Tayyab and Muhammad adnan Arshad School of Civil and Environmental Engineering National University of Sciences and TechnologyIslamabad 44000Pakistan Department of Metallurgy&Materials Engineering University of the Punjab54590 LahorePakistan

Thermomechanical cyclic quenching and tempering(TMCT)can strengthen steels through a grain size reduction *** effect of TMCT on microstructure,mechanical,and electrochemical properties of AISI 1345 steel was *** samples heated to 1050℃,rolled,quenched to room temperature,and subjected to various cyclic quenching and tempering heat treatments were named TMCT-1,TMCT-2,and TMCT-3 samples,*** analysis revealed that microstructures of all the treated samples contained packets and blocks of well-refined lath-shaped martensite and retained austenite phases with varying grain sizes(2.8–7.9μm).Among all the tested samples,TMCT-3 sample offered an optimum combination of properties by showing an improvement of 40%in tensile strength and reduced 34%elongation compared with the non-treated *** results were in good agreement with mechanical tests as the TMCT-3 sample exhibited a 51%improvement in indentation hardness with almost identical reduced elastic modulus compared with the non-treated *** electrochemical properties were analyzed in 0.1 M NaHCO_(3) solution by potentiodynamic polarization and electrochemical impedance *** a result of TMCT,the minimum corrosion rate was 0.272 mm/a,which was twenty times less than that of the nontreated *** impedance results showed the barrier film mechanism,which was confirmed by the polarization results as the current density decreased.

关键词： thermomechanical treatment cyclic heat-treatment nanoindentation potentiodynamic polarization electrochemical impedance spectroscopy

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Electromechanical Fields and Their Influence on the Internal Quantum Efficiency of GaN-Based Light-Emitting Diodes

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Acta Mechanica Solida Sinica 2018年第3期31卷 383-390页

作者： Muhammad Usman Kiran Saba adnan Jahangir Muhammad Kamran Nazeer Muhammad Department of Engineering Sciences Ghulam Ishaq Khan Institute of Engineering Sciences and Technology Swabi 23460 Pakistan Department of Mathematics COMSATS Institute of Information Technology Wah Cantt 47040 Pakistan Department of Electrical Engineering COMSATS Institute of Information Technology Wah Cantt 47040 Pakistan

The effect ofelectromechanical fields, i.e., polarization fields, on the efficiency droop of GaN-based light-emitting diodes is presented using both experimental and numerical analyses. The role of incorporating such polarization charge density in device performance is numerically investigated and further compared with the experimental results of internal quantum efficiency of three different devices in consideration.

关键词： Optoelectronic devices Photonic bandgap materials Visible and ultraviolet sources Light-emitting devices

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A New Segmentation Framework for Arabic Handwritten Text Using Machine Learning Techniques

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Computers, Materials & Continua 2021年第8期68卷 2727-2754页

作者： Saleem Ibraheem Saleem adnan Mohsin Abdulazeez Zeynep Orman Department of Information Technology Technical Informatics College of AkreDuhok Polytechnic UniversityDuhok42004Kurdistan RegionIraq Department of Computer Engineering Faculty of EngineeringIstanbul University-CerrahpasaIstanbul34320Turkey

The writer identification(WI)of handwritten Arabic text is now of great concern to intelligence agencies following the recent attacks perpetrated by known Middle East terrorist *** is also a useful instrument for the digitalization and attribution of old text to other authors of historic studies,including old national and religious *** this study,we proposed a new affective segmentation model by modifying an artificial neural network model and making it suitable for the binarization stage based on *** modified method is combined with a new effective rotation model to achieve an accurate segmentation through the analysis of the histogram of binary ***,propose a new framework for correct text rotation that will help us to establish a segmentation method that can facilitate the extraction of text from its *** projections and the radon transform are used and improved using machine learning based on a co-occurrence matrix to produce binary *** training stage involves taking a number of images for model *** images are selected randomly with different angles to generate four classes(0–90,90–180,180–270,and 270–360).The proposed segmentation approach achieves a high accuracy of 98.18%.The study ultimately provides two major contributions that are ranked from top to bottom according to the degree of *** proposed method can be further developed as a new application and used in the recognition of handwritten Arabic text from small documents regardless of logical combinations and sentence construction.

关键词： Writer identification handwritten Arabic biometric systems artificial neural network segmentation skew detection model

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Hybridization of CNN with LBP for Classification of Melanoma Images

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Computers, Materials & Continua 2022年第6期71卷 4915-4939页

作者： Saeed Iqbal adnan N.Qureshi Ghulam Mustafa Faculty of Information Technology University of Central PunjabLahorePakistan Department of Computer Sciences Bahria University Lahore CampusPakistan

Skin cancer(melanoma)is one of the most aggressive of the cancers and the prevalence has significantly increased due to increased exposure to ultraviolet ***,timely detection and management of the lesion is a critical consideration in order to improve lifestyle and reduce *** this end,we have designed,implemented and analyzed a hybrid approach entailing convolutional neural networks(CNN)and local binary patterns(LBP).The experiments have been performed on publicly accessible datasets ISIC 2017,2018 and 2019(HAM10000)with data augmentation for in-distribution *** a novel contribution,the CNN architecture is enhanced with an intelligible layer,LBP,that extracts the pertinent visual *** of Basal Cell Carcinoma,Actinic Keratosis,Melanoma and Squamous Cell Carcinoma has been evaluated on 8035 and 3494 cases for training and testing,*** outcomes with cross-validation depict a plausible performance with an average accuracy of 97.29%,sensitivity of 95.63%and specificity of 97.90%.Hence,the proposed approach can be used in research and clinical settings to provide second opinions,closely approximating experts’intuition.

关键词： Skin cancer convolutional neural network feature extraction local binary pattern classification

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A Facile and Template-Free One-Pot Synthesis of Mn_3O_4 Nanostructures as Electrochemical Supercapacitors

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Nano-Micro Letters 2016年第2期8卷 165-173页

作者： Zhenjun Qi adnan Younis Dewei Chu Sean Li School of Materials Science and Engineering University of New South Wales

In this paper, we report an effective, simple, and cost-effective strategy of electrochemical deposition to prepare hausmannite Mn_3O_4 thin films for the applications of supercapacitors. Various precursor concentrations and deposition durations were manipulated to tailor the surface morphologies of Mn_3O_4 nanostructures and to optimize their electrochemical performances. The Mn_3O_4 samples prepared at 0.05 M Mn(NO3)2solution for 30 min delivered a large gravimetric specific capacitance of 210 F g-1at a current density of 0.5 A g-1, and a good rate capability over other samples. This superior electrochemical performance may be attributed to the improved electrode conductivity with increased accessible area for electrolytes ions. Furthermore, a nanocomposite film based on Mn_3O_4/carbon foam was fabricated by utilizing the developed optimized conditions. The Mn_3O_4/carbon foam films exhibit an excellent specific capacitance with negligible degradation in retaining specific capacitance values up to 4000 cycles. These findings could further broaden the applications of hausmannite Mn_3O_4 in electrochemical energy storage electrodes.

关键词： Electrochemical deposition Supercapacitors Charge storage

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Generalized contraction mapping principle in intuitionistic Menger spaces and application to differential equations

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Applied Mathematics and Mechanics(English Edition) 2007年第6期28卷 799-809页

作者： Servet Kutukcu adnan Tuna Atakan T. Yakut Department of Mathematics Faculty of Science and ArtsOndokuz Mayis UniversityKurupelit55139 SamsunTurkey Department of Mathematics Faculty of Science and ArtsGazi UniversityTeknikokullar06500 AnkaraTurkey Department of Mathematics Faculty of Science and ArtsNigde UniversityNigdeTurkey

Using the idea of Atanassov, we define the notion of intuitionistic Menger spaces as a netural generalizations of Menger spaces due to Menger. We also obtain a new generalized contraction mapping and utilize this contraction mapping to prove the existance theorems of solutions to differential equations in intuitionistic Menger spaces.

关键词： generalized contraction mapping intuitionistic Menger space intuitionistic Menger normed space intuitionistic probabilistic bounded set

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Deep Reinforcement Learning for Addressing Disruptions in Traffic Light Control

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Computers, Materials & Continua 2022年第5期71卷 2225-2247页

作者： Faizan rasheed Kok-Lim Alvin Yau Rafidah Md Noor Yung-Wey Chong School of Engineering and Computer Science University of HertfordshireHatfieldAL109ABUK Department of Computing and Information Systems Sunway UniversitySubang Jaya47500Malaysia Faculty of Computer Science and Information Technology University of MalayaKuala Lumpur50603Malaysia National Advanced IPv6 Centre Universiti Sains MalaysiaUSMPenang11800Malaysia

This paper investigates the use of multi-agent deep Q-network(MADQN)to address the curse of dimensionality issue occurred in the traditional multi-agent reinforcement learning(MARL)*** proposed MADQN is applied to traffic light controllers at multiple intersections with busy traffic and traffic disruptions,particularly *** is based on deep Q-network(DQN),which is an integration of the traditional reinforcement learning(RL)and the newly emerging deep learning(DL)*** enables traffic light controllers to learn,exchange knowledge with neighboring agents,and select optimal joint actions in a collaborative manner.A case study based on a real traffic network is conducted as part of a sustainable urban city project in the Sunway City of Kuala Lumpur in *** is also performed using a grid traffic network(GTN)to understand that the proposed scheme is effective in a traditional traffic *** proposed scheme is evaluated using two simulation tools,namely Matlab and Simulation of Urban Mobility(SUMO).Our proposed scheme has shown that the cumulative delay of vehicles can be reduced by up to 30%in the simulations.

关键词： Artificial intelligence traffic light control traffic disruptions multi-agent deep Q-network deep reinforcement learning

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Multifaceted Strategies Used by Root-Knot Nematodes to Parasitize Plants-A Review

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Phyton-International Journal of Experimental Botany 2020年第2期89卷 205-215页

作者： adnan Shakeel Abrar Ahmad Khan Mohammad Haris Division of Environmental Botany Department of BotanyAligarh Muslim UniversityAligarh202002India

Root-knot nematodes being omnipresent in agricultural and horticultural soils are tallied among the most important economic pathogens around the *** successful parasitism,these nematodes use various strategies to control and manipulate the host plant’s cell *** strategies include the mole-cular mimicry of some host genes by some nematode secreted effector proteins,secretion of cell wall digesting enzymes and other effector proteins that are responsible for the suppression of defence by the host *** these secretions which are released through the stylet,contribute to the formation of specialized feeding sites or giant *** effector proteins interfere with the normal physiology,cytology and biochemistry of the host *** present review brings novel insights by summarizing some novel effectors that have been discovered recently like MgPDI,MiMIF,MiIDL1,MiISE6,Mg16820,*** also discusses some novel mechanisms through which these effector proteins target different pathways of host plants and thus facilitate nematode parasitism.

关键词： Effector proteins meloidogyne parasitism mimicry

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Ether-IoT:A Realtime Lightweight and Scalable Blockchain-Enabled Cache Algorithm for IoT Access Control

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Computers, Materials & Continua 2023年第5期75卷 3797-3815页

作者： Hafiz adnan Hussain Zulkefli Mansor Zarina Shukur Uzma Jafar Universiti Kebangsaan Malaysia Bangi43000Malaysia

Several unique characteristics of Internet of Things(IoT)devices,such as distributed deployment and limited storage,make it challenging for standard centralized access control systems to enable access control in today’s large-scale IoT *** solve these challenges,this study presents an IoT access control system called Ether-IoT based on the Ethereum Blockchain(BC)infrastructure with Attribute-Based Access Control(ABAC).Access Contract(AC),Cache Contract(CC),Device Contract(DC),and Policy Contract(PC)are the four central smart contracts(SCs)that are included in the proposed *** offers a way to save user characteristics in a local cache system to avoid delays during transactions between BC and IoT *** is the fundamental program users typically need to run to build an access control *** offers a means for storing the resource data created by devices and a method for querying that *** offers administrative settings to handle ABAC policies on users’***-IoT,combined with ABAC and the BC,enables IoT access control management that is decentralized,fine-grained and dynamically *** research gives a real-world case study to illustrate the suggested framework’s *** the end,a simulation experiment is performed to evaluate the system’s *** ensure data integrity in dispersed systems,the results show that Ether-IoT can sustain high throughput in contexts with a large number of requests.

关键词： Blockchain Internet of Things IoT access control ABAC Ethereum distributed system

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A Survey of VASNET Framework to Provide Infrastructure-Less Green IoTs Communications for Data Dissemination in Search and Rescue Operations

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Journal of Electronic Science and Technology 2016年第3期14卷 220-228页

作者： Mohamad Nazim Jambli adnan Shahid Khan Sia Chiu Shoon the Faculty of Computer Science and Information Technology Universiti Malaysia Sarawak94300 Kota SamarahanMalaysia

implementation of wireless technologies based on the vehicular ad hoc sensor network （VASNET） may provide support for the search and rescue （SAR） team to operate effectively in natural disaster events, such as landslide, earthquake, flooding, and tsunami. The operations of SAR team are very challenging in such events due to the possible damages of the existing telecommunication infrastructures. The existing deployment of the cellular communications infrastructure may be partially or completely destroyed after the occurrence of these natural disasters. Thus, the current VASNET infrastructure must be able to support the infrastructure-less network by integrating other green wireless technologies that can benefit the SAR team, which can indirectly save more human lives and reduce the number of casualties. Therefore, the integration of green Internet of things （loT） and VASNET is proposed to form a heterogeneous framework for data dissemination in SAR operations. In addition, this paper also discusses the existing lot framework in disaster scenarios with future research direction for IoT using on any aspect, especially related to the natural disaster scenarios.

关键词： Framework green Internet of things (loT) SAR operations vehicular ad hoc sensor network (VASNET).

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