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Real-time visual inspection system for grading fruits using computer vision and deep learning techniques

Information Processing in Agriculture 2022年第1期9卷 24-37页

作者： Nazrul ismail Owais A.Malik Digital Science Faculty of ScienceUniversiti Brunei DarussalamJln Tungku LinkGadong BE1410Brunei Darussalam

Traditional manual visual grading of fruits has been one of the important challenges faced by the agricultural industry due to its laborious nature as well as inconsistency in inspec-tion and classification *** defects detection using computer vision and machine learning has become a promising area of research with a high and direct impact on the domain of visual *** this study,we propose an efficient and effective machine vision system based on the state-of-the-art deep learning techniques and stack-ing ensemble methods to offer a non-destructive and cost-effective solution for automat-ing the visual inspection of fruits’freshness and *** trained,tested and compared the performance of various deep learning models including ResNet,DenseNet,MobileNetV2,NASNet and EfficientNet to find the best model for the grading of *** proposed system also provides a real time visual inspection using a low cost Raspberry Pi module with a camera and a touchscreen display for user *** real time sys-tem efficiently segments multiple instances of the fruits from an image and then grades the individual objects(fruits)*** system was trained and tested on two data sets(apples and bananas)and the average accuracy was found to be 99.2% and 98.6% using EfficientNet model for apples and bananas test sets,***,a slight improvement in the recognition rate(0.03% for apples and 0.06% for bananas)was noted while applying the stacking ensemble deep learning *** performance of the developed system has been found higher than the existing methods applied to the same data sets ***,during real-time testing on actual samples,the accuracy was found to be 96.7% for apples and 93.8% for bananas which indicates the efficacy of the developed system.

关键词： Deep learning Fruit classification Computer vision Real-time system Raspberry Pi Agriculture

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Super-Resolution Based on Curvelet Transform and Sparse Representation

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Computer Systems Science & Engineering 2023年第4期45卷 167-181页

作者： Israa ismail Mohamed Meselhy Eltoukhy Ghada Eltaweel Department of Computer Science Faculty of Computers and InformaticsSuez Canal UniversityIsmailia51422Egypt Department of Information Technology University of JeddahCollege of Computing and Information Technology at KhulaisJeddahSaudi Arabia

Super-resolution techniques are used to reconstruct an image with a high resolution from one or more low-resolution image(s).In this paper,we proposed a single image super-resolution *** uses the nonlocal mean filter as a prior step to produce a denoised *** proposed algorithm is based on curvelet *** converts the denoised image into low and high frequencies(sub-bands).Then we applied a multi-dimensional interpolation called Lancozos interpolation over both *** parallel,we applied sparse representation with over complete dictionary for the denoised *** proposed algorithm then combines the dictionary learning in the sparse representation and the interpolated sub-bands using inverse curvelet transform to have an image with a higher *** experimental results of the proposed super-resolution algorithm show superior performance and obviously better-recovering images with enhanced *** comparison study shows that the proposed super-resolution algorithm outperforms the *** mean absolute error is 0.021±0.008 and the structural similarity index measure is 0.89±0.08.

关键词： Super-resolution Curvelet transform non-local means filter lancozos interpolation sparse representation

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N-Body Simulation Inspired by Metaheuristics Optimization

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Computer Systems Science & Engineering 2022年第6期41卷 1143-1155页

作者： Muhammad Ali ismail Maria Waqas Farah Sadiq National Center in Big Data and Cloud Computing Department of Computer and Info Systems EngineeringNED University of Engineering and TechnologyKarachiPakistan

The N-body problem in classical physics, is the calculation of force ofgravitational attraction of heavenly bodies towards each other. Solving this problem for many heavenly bodies has always posed a challenge to physicists andmathematicians. Large number of bodies, huge masses, long distances and exponentially increasing number of equations of motion of the bodies have been themajor hurdles in solving this problem for large and complex galaxies. Adventof high performance computational machines have mitigated the problem to muchextent, but still for large number of bodies it consumes huge amount of resourcesand days for computation. Conventional algorithms have been able to reduce thecomputational complexity from O n2 ð Þ to O nlogn ð Þ by splitting the space into atree or mesh network, researchers are still looking for improvements. In thisresearch work we propose a novel solution to N-body problem inspired by metaheuristics algorithms. The proposed algorithm is simulated for various time periods of selected heavenly bodies and analyzed for speed and accuracy. Theresults are compared with that of conventional algorithms. The outcomes showabout 50% time saving with almost no loss in accuracy. The proposed approachbeing a metaheuristics optimization technique, attempts to find optimal solution tothe problem, searching the entire space in a unique and efficient manner in a verylimited amount of time.

关键词： N-body problem metaheuristics optimization particle swarm optimization heavenly bodies

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Demonstration of synaptic and resistive switching characteristics in W/TiO_(2)/HfO_(2)/TaN memristor crossbar array for bioinspired neuromorphic computing

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Journal of Materials Science & Technology 2022年第1期96卷 94-102页

作者： Muhammad ismail Umesh Chand Chandreswar Mahata Jamel Nebhen Sungjun Kim Division of Electronics and Electrical Engineering Dongguk UniversitySeoul 04620South Korea Department of Electrical and Computer Engineering National University SingaporeSingapore 117583Singapore College of Computer Engineering and Sciences Prince Sattam bin Abdulaziz UniversityAl-Kharj 11942Saudi Arabia

In this study,resistive random-access memory(RRAM)-based crossbar arrays with a memristor W/TiO_(2)/HfO_(2)/TaN structure were fabricated through atomic layer deposition(ALD)to investigate synaptic plasticity and resistive switching(RS)characteristics for bioinspired neuromorphic computing.X-ray photoelectron spectroscopy(XPS)was employed to explore oxygen vacancy concentrations in bilayer TiO_(2)/HfO_(2)*** fitting for O1s peaks confirmed that the HfO_(2)layer contained a larger number of oxygen vacancies than the TiO_(2)*** addition,HfO_(2)had lower Gibbs free energy(ΔG°=-1010.8 kJ/mol)than the TiO_(2)layer(ΔG°=-924.0 kJ/mol),resulting in more oxygen vacancies in the HfO_(2)*** results andΔG°magnitudes confirmed that formation/disruption of oxygen-based conductive filaments took place in the TiO_(2)*** W/TiO_(2)/HfO_(2)/TaN memristive device exhibited excellent and repeatable RS characteristics,including superb 10^(3) dc switching cycles,outstanding 107 pulse endurance,and high-thermal stability(10^(4) s at 125℃)important for digital computing ***,some essential biological synaptic characteristics such as potentiation-depression plasticity,paired-pulse facilitation(PPF),and spike-timing-dependent plasticity(STDP,asymmetric Hebbian and asymmetric anti-Hebbian)were successfully mimicked herein using the crossbar-array memristive *** on experimental results,a migration and diffusion of oxygen vacancy based physical model is proposed to describe the synaptic plasticity and RS *** study demonstrates that the proposed W/TiO_(2)/HfO_(2)/TaN memristor crossbar-array has a significant potential for applications in non-volatile memory(NVM)and bioinspired neuromorphic systems.

关键词： Resistive switching Crossbar-array memristive device Synaptic plasticity TiO_(2)/HfO_(2)film Oxygen vacancy

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Optimizing the thickness of Ta_(2)O_(5) interfacial barrier layer to limit the oxidization of Ta ohmic interface and ZrO_(2) switching layer for multilevel data storage

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Journal of Materials Science & Technology 2022年第11期106卷 98-107页

作者： Muhammad ismail Haider Abbas Chandreswar Mahata Changhwan Choi Sungjun Kim Division of Electronics and Electrical Engineering Dongguk UniversitySeoul 04620Republic of Korea Division of Materials Science and Engineering Hanyang UniversitySeoul 04763Republic of Korea

The multilevel storage capability of nonvolatile resistive random access memory(ReRAM)is greatly de-sired to accomplish high functioning memory *** this study,Ta_(2)O_(5) thin film with different thick-nesses(2,4,and 6 nm)was exploited as an appropriate interfacial barrier layer for limiting the formation of the interfacial layer between the 10 nm thick sputtering deposited resistive switching(RS)layer and Ta ohmic electrode to improve the switching cycle endurance and *** show that lower form-ing voltage,narrow distribution of SET-voltages,good dc switching cycles(10^(3)),high pulse endurance(10^(6) cycles),long retention time(10^(4) s at room temperature and 100℃),and reliable multilevel resis-tance states were obtained at an appropriate thickness of∼2 nm Ta_(2)O_(5) interfacial barrier layer instead of without Ta_(2)O_(5) and with∼4 nm,and∼6 nm Ta_(2)O_(5) barrier layer,ZrO_(2)-based memristive ***,multilevel resistance states have been scientifically investigated via modulating the compliance current(CC)and RESET-stop voltages,which displays that all of the resistance states were distinct and stayed stable without any considerable deprivation over 10^(4) s retention time and 104 pulse endurance *** I-V characteristics of RESET-stop voltage(from−1.7 to−2.3 V)of HRS are found to be a good linear fit with the Schottky *** can be seen that Schottky barrier height rises by increasing the stop-voltage during RESET-operation,resulting in enhancing the data storage memory window(on/offratio).Moreover,RESET-voltage and CC control of HRS and LRS revealed the physical origin of the RS mecha-nism,which entails the formation and rupture of conducting *** is thoroughly investigated that proper optimization of the barrier layer at the ohmic interface and the switching layer is essential in memristive *** results demonstrate that the ZrO_(2)-based memristive device with an optimized∼2 nm Ta_(2)O_(5) barrier

关键词： Resistive switching Ta_(2)O_(5)/ZrO_(2)bilayer film Barrier layer thickness Multilevel resistance states RESET-stop voltage

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Issues and challenges in diabetic neuropathy management:A narrative review

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World Journal of Diabetes 2023年第6期14卷 741-757页

作者： Che Aishah Nazariah ismail Department of Physiology School of Medical SciencesUniversity Sains Malaysia Health CampusKubang Kerian 16150KelantanMalaysia

Diabetic neuropathy(DN)is a devastating disorder with an increasing prevalence *** epidemic can pose a critical burden on individuals and communities,subsequently affecting the productivity and economic output of a *** more people living a sedentary lifestyle,the incidence of DN is escalating *** researchers have relentlessly worked on ways to combat this devastating *** efforts have given rise to a number of commercially available therapies that can alleviate the symptoms of ***,most of these therapies are only partially *** still,some are associated with unfavorable side *** narrative review aims to highlight current issues and challenges in the management of DN,especially from the perspective of molecular mechanisms that lead to its progression,with the hope of providing future direction in the management of *** improve the approaches to diabetic management,the suggested resolutions in the literature are also discussed in this *** review will provide an in-depth understanding of the causative mechanisms of DN,apart from the insights to improve the quality and strategic approaches to DN management.

关键词： Diabetic neuropathy Pathophysiology Diabetic management Diabetic medication

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Implementation of natural hand gestures in holograms for 3D object manipulation

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虚拟现实与智能硬件(中英文) 2023年第5期5卷 439-450页

作者： Ajune Wanis ismail Muhammad Akma IMAN Mixed and Virtual Environment Research Lab(Mivielab) ViCubeLabUniversiti Teknologi MalaysiaJohore 81310Malaysia Faculty of Computing Universiti Teknologi MalaysiaJohore 81310Malaysia

Holograms provide a characteristic manner to display and convey information, and have been improved to provide better user interactions Holographic interactions are important as they improve user interactions with virtual objects. Gesture interaction is a recent research topic, as it allows users to use their bare hands to directly interact with the hologram. However, it remains unclear whether real hand gestures are well suited for hologram applications. Therefore, we discuss the development process and implementation of three-dimensional object manipulation using natural hand gestures in a hologram. We describe the design and development process for hologram applications and its integration with real hand gesture interactions as initial findings. Experimental results from Nasa TLX form are discussed. Based on the findings, we actualize the user interactions in the hologram.

关键词： Hologram Gesture interaction Natural hand gesture Three-dimensional object manipulation Gesture recognition

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GA-Stacking:A New Stacking-Based Ensemble Learning Method to Forecast the COVID-19 Outbreak

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Computers, Materials & Continua 2023年第2期74卷 3945-3976页

作者： Walaa N.ismail Hessah A.Alsalamah Ebtesam Mohamed Department of Management Information Systems College of Business AdministrationAl Yamamah UniversityRiyadh11512Saudi Arabia Faculty of Computers and Information Minia UniversityMinia61519Egypt Information Systems Department College of Computer and Information SciencesKing Saud UniversityRiyadh4545Saudi Arabia Computer Engineering Department College of Engineering and ArchitectureAl Yamamah UniversityRiyadh11512Saudi Arabia

As a result of the increased number of COVID-19 cases,Ensemble Machine Learning(EML)would be an effective tool for combatting this pandemic *** ensemble of classifiers can improve the performance of single machine learning(ML)classifiers,especially stacking-based ensemble *** utilizes heterogeneous-base learners trained in parallel and combines their predictions using a meta-model to determine the final prediction ***,building an ensemble often causes the model performance to decrease due to the increasing number of learners that are not being properly ***,the goal of this paper is to develop and evaluate a generic,data-independent predictive method using stacked-based ensemble learning(GA-Stacking)optimized by aGenetic Algorithm(GA)for outbreak prediction and health decision aided ***-Stacking utilizes five well-known classifiers,including Decision Tree(DT),Random Forest(RF),RIGID regression,Least Absolute Shrinkage and Selection Operator(LASSO),and eXtreme Gradient Boosting(XGBoost),at its first *** also introduces GA to identify comparisons to forecast the number,combination,and trust of these base classifiers based on theMean Squared Error(MSE)as a fitness *** the second level of the stacked ensemblemodel,a Linear Regression(LR)classifier is used to produce the final *** performance of the model was evaluated using a publicly available dataset from the Center for Systems Science and Engineering,Johns Hopkins University,which consisted of 10,722 data *** experimental results indicated that the GA-Stacking model achieved outstanding performance with an overall accuracy of 99.99%for the three selected ***,the proposed model achieved good performance when compared with existing baggingbased *** proposed model can be used to predict the pandemic outbreak correctly and may be applied as a generic data-independent model 3946 CMC,2023,vol.74,no.2 to pre

关键词： COVID-19 ensemble machine learning genetic algorithm machine learning stacking ensemble unbalanced dataset vaccine

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Surface-tailoring chlorine resistant materials and strategies for polyamide thin film composite reverse osmosis membranes

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Frontiers of Chemical Science and Engineering 2022年第5期16卷 564-591页

作者： Pei Sean Goh Kar Chun Wong Tuck Whye Wong Ahmad Fauzi ismail Advanced Membrane Technology Research Centre(AMTEC) School of Chemical and Energy EngineeringFaculty of EngineeringUniversiti Teknologi Malaysia81310 Johor BahruMalaysia

Polyamide thin film composite membranes have dominated current reverse osmosis market on account of their excellent separation performances compared to the integrally skinned *** their very promising separation performance,chlorine-induced degradation resulted from the susceptibility of polyamide toward chlorine attack has been regarded as the Achilles’s heel of polyamide thin film *** free chlorine species present during chlorine treatment can impair membrane performance through chlorination and depolymerization of the polyamide selective *** material point of view,a chemically stable membrane is crucial for the sustainable application of membrane separation process as it warrants a longer membrane lifespan and reduces the cost involved in membrane *** strategies,particularly those involved membrane material optimization and surface modifications,have been established to address this *** review discusses membrane degradation by free chlorine attack and its correlation with the surface chemistry of *** advancement in the development of chlorine resistant polyamide thin film composite membranes is reviewed based on the state-of-the-art surface modifications and tailoring approaches which include the in situ and postfabrication membrane modifications using a broad range of functional *** challenges and future directions in this field are also highlighted.

关键词： reverse osmosis polyamide thin film composite membranes chlorine resistance surface modification

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Nrf2 modulates the benefits of evening exercise in type 2 diabetes

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Sports Medicine and Health Science 2023年第4期5卷 251-258页

作者： Babatunde Fasipe ismail Laher Faculty of Basic Clinical Sciences Department of Pharmacology and TherapeuticsBowen UniversityIwoNigeria Faculty of Medicine Department of AnesthesiologyPharmacology and TherapeuticsThe University of British ColumbiaVancouverCanada

Exercise has well-characterized therapeutic benefits in the management of type 2 diabetes mellitus(T2DM).Most of the beneficial effects of exercise arise from the impact of nuclear factor erythroid 2 related factor-2(Nrf2)activation of glucose ***2 is an essential controller of cellular anti-oxidative capacity and circadian *** circadian rhythm of Nrf2 is influenced by circadian genes on its expression,where the timing of exercise effects the activation of Nrf2 and the rhythmicity of Nrf2 and signaling,such that the timing of exercise has differential physiological *** in the evening has beneficial effects on diabetes management,such as lowering of blood glucose and *** mechanisms responsible for these effects have not yet been associated with the influence of exercise on the circadian rhythm of Nrf2 activity.A better understanding of exercise-induced Nrf2 activation on Nrf2 rhythm and signaling can improve our appreciation of the distinct effects of morning and evening *** review hypothesizes that activation of Nrf2 by exercise in the morning,when Nrf2 level is already at high levels,leads to hyperactivation and decrease in Nrf2 signaling,while activation of Nrf2 in the evening,when Nrf2 levels are at nadir levels,improves Nrf2 signaling and lowers blood glucose levels and increases fatty acid *** the effects of Nrf2 activators on rhythmic signaling could also provide valuable insights into the optimal timing of their application,while also holding promise for timed treatment of type 2 diabetes.

关键词： Nrf2 exercise evening

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