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A review:Health benefits and physicochemical cha.a.teristics of blended vegetable oils

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Grain & Oil Science and Technology 2024年第2期7卷 113-123页

作者： Hina Daud memon Sarfa.a. Ahmed Mahesar Sirajuddin Huseyin Ka.a.Syed Tufail Hussain Sherazi Mohammad Younis Talpur National Centre of Excellence in a.a.ytical Chemistry University of SindhJamshoro 76080Pakistan International Center for Chemical and Biological Sciences HEJ Research Institute of ChemistryUniversity of KarachiKarachi 75270Pakistan Department of Chemistry Faculty of ScienceSelcuk UniversityKonya 42075Turkey Dr.M.A.Kazi Institute of Chemistry University of SindhJamshoro 76080Pakistan

Oil blending is the method of choice used worldwide to improve oxidative stability and nutritional *** is no such edible oil/fat that meets all the recommendations from the health point of *** fatty acid composition of vegetable oils decides the fate of the *** single oil is unable to provide a ba.a.ced amount of fatty acids(FAs)required/recommended on a daily intake *** oils/fats is an appropriate procedure of physically mixing multiple oils in suitable proportions which may provide functional lipids with improved antioxidant potential and desirable physical and chemical *** review piled up the accessible da.a.on the blending of diverse oils/fats in the combination of binary,ternary,quaternary,or other types of oils into a single blended *** can be found very convincing towards appropriate FA profile,enhancement in physicochemical cha.a.teristics,and augmented stability for the period of storage or when used as cooking/frying processes which could ultimately serve as an effectual dietary intervention towards the health protectiveness.

关键词： Vegetable oil Oil blending Physicochemical properties Nutritional benefits

Research on Iron Loss of Switched Reluctance Starter/Generator for Energy Storage

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Protection and Control of Modern Power Systems 2024年第4期9卷 147-159页

作者： Hao Chen Xing Wang Yongqiang Liu Vuong Dang Quoc Wenju Yan Muhammad Saqib Antonino Musolino Guanjun Wang Yong Qi Ali Asghar memon Alexandros G.Paspatis the Shenzhen Research Institute China University of Mining and TechnologyShenzhen 515100China the School of Electrical Engineering China University of Mining and TechnologyXuzhou 221116China Xinjiang Institute of Engineering Urumqi 830000China the International Joint Research Center of Central and Eastern European Countries on New Energy EV Technology and Equipment Xuzhou 221008China the International Cooperation Joint Laboratory of New Energy Power Generation and EVs of Jiangsu Province Colleges and Universities Xuzhou 221008China the Xuzhou Key Laboratory of New Energy EV Technology and Equipment Xuzhou 221008China the the School of Electrical Engineering China University of Mining and Tech-nologyXuzhou 221116China the Laboratory of High Performance Electric Machines(HiPems) Hanoi VN 10000Viet Nam the University of Engineering and Technology Lahore 54890Pakistan the Department of Energy Pisa Uni-versity of PisaPisa IT 56126Italy the Wuxi Inspection and Testing Certification Research Institute Wuxi 214000China the Nanjing University of Science&Tech-nology Nanjing 210094China the Mehran University of Engi-neering&Technology Jamshoro PK 76062Sindh the National Technical University of Athens Zografou GR 15780Attica

In order to better realize the energy recovery and storage of hybrid EVs(HEVs),a switched reluctance starter/generator(SRS/G)with both starting and power generation functions is investigated in this ***,the iron loss of SRS/G is mainly studied to reduce the motor loss and improve the power generation ***,the energy storage of hybrid EVs can be effectively ***,a magnetic flux density(MFD)waveforms solution method is proposed to solve the difficulty in calculating the iron loss of the SRS/*** with the commonly used finite element method,the proposed solution method has the advantages of simple,fast and small computational ***,considering the different operating conditions of SRS/G,the iron loss models for both the time-domain and frequency-domain are *** addition,the calculation formula of the variable coefficient Bertotti three-term loss sepa.a.ion is *** the hysteresis loss coefficient,the Steinmetz coefficient and the stray loss coefficient are respectively fitted by the Fourier fitting *** method is also applied to solve the iron loss of SRS/***,through an experimental verification,it is indicated that the development of proposed method has high accuracy.

关键词： Switched reluctance starter/generator energy storage iron loss finite element method magnetic flux density(MFD)

Intrusion Detection System for Smart Industrial Environments with Ensemble Feature Selection and Deep Convolutional Neural Networks

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Intelligent Automation & Soft Computing 2024年第3期39卷 545-566页

作者： a.a. Ra.a.Shahzad memon Muhammad Ali Niza.a.i Mahmood Hussain Shah Dr.AHS Bukhari Postgraduate Centre of Information and Communication Technology Faculty of Engineering and TechnologyUniversity of SindhJamshoro76060Pakistan Newcastle Business School Northumbria UniversityNewcastleNE1UK

Smart Industrial environments use the Industrial Internet of Things(IIoT)for their routine operations and transform their industrial operations with intelligent and driven ***,IIoT devices are vulnerable to cyber threats and exploits due to their connectivity with the *** signature-based IDS are effective in detecting known attacks,but they are unable to detect unknown emerging ***,there is the need for an IDS which can learn from da.a.and detect new *** Machine Learning(ML)and individual Deep Learning(DL)based IDS have been developed,and these individual models achieved low accuracy;however,their performance can be improved with the ensemble stacking *** this paper,we have proposed a Deep Stacked Neural Network(DSNN)based IDS,which consists of two stacked Convolutional Neural Network(CNN)models as base learners and Extreme Gradient Boosting(XGB)as the meta *** proposed DSNN model was trained and evaluated with the next-generation da.a.et,TON_*** pre-processing techniques were applied to prepare a da.a.et for the model,including ensemble feature selection and the SMOTE ***,precision,recall,F1-score,and false positive rates were used to evaluate the performance of the proposed ensemble *** experimental results showed that the accuracy for binary classification is 99.61%,which is better than in the baseline individual DL and ML *** addition,the model proposed for IDS has been compared with similar *** proposed DSNN achieved better performance metrics than the other *** proposed DSNN model will be used to develop enhanced IDS for threat mitigation in smart industrial environments.

关键词： Industrial internet of things smart industrial environment cyber-attacks convolutional neural network ensemble learning

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英语世界 2024年第9期 48-52页

作者： a.a.米尔恩林羽竹

我经常渴望能成为一个食品杂货商。让身边环绕着如此多有趣的东西——沙丁鱼、瓶装覆盆子、砂糖饼干、腌生姜、火腿、玻璃罩扣肉冻,以及一切使生活有意义的东西。一会儿爬上梯子去找肉豆蔻,一会儿钻到柜台下去寻肉桂;给小姑娘提供值半...

我经常渴望能成为一个食品杂货商。让身边环绕着如此多有趣的东西——沙丁鱼、瓶装覆盆子、砂糖饼干、腌生姜、火腿、玻璃罩扣肉冻,以及一切使生活有意义的东西。一会儿爬上梯子去找肉豆蔻,一会儿钻到柜台下去寻肉桂;给小姑娘提供值半便士的梨形糖果,给你我这样的体面人提供一品脱的樱桃杜松子酒。做这些事,不算是从事最好的行当吗?总有一天我会开家食品杂货店。你会发现,在空闲的傍晚,我身着围裙,站在柜台后面。

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Combining ability of Egyptian cotton(Gossypium barbadense L.)reveals genetic potential for improved yield and fiber quality

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Journal of Cotton Research 2024年第2期7卷 109-122页

作者： Abdelghany Ahmed M. El-Banna.a.y a.a. Lamlom Sobhi F El-Sorady Gawha.a.A. Sa.a.a Ehab a.a. Ren Honglei Shaibu Abdulwa.a. S. Yehia Waleed M.B. Crop Science Department Faculty of AgricultureDamanhour UniversityDamanhour 22516Egypt Plant Production Department Faculty of Agriculture Saba BashaAlexandria UniversityAlexandria 21531Egypt Agricultural Botany Department Faculty of Agriculture Saba BashaAlexandria UniversityAlexandria 21531Egypt Heilongjiang a.a.emy of Agricultural Sciences Soybean Research InstituteHarbin 150086China Department of Agronomy Bayero University KanoKano 700001Nigeria Cotton Breeding Department Cotton Research InstituteAgriculture Research CenterGizaEgypt

Background As the most widely cultivated fiber crop,cotton production depends on hybridization to unlock the yield potential of current varieties.A deep understanding of genetic dissection is crucial for the cultivation of enhanced hybrid plants with desired traits,such as high yield and fine fiber *** this study,the general combining ability(GCa.a.d specific combining ability(SCA)of yield and fiber quality of nine cotton parents(six lines and three testers)and eighteen F1 crosses produced using a line×tester mating design were *** The results revealed significant effects of genotypes,parents,crosses,and interactions between parents and crosses for most of the studied ***,the effects of both additive and non-additive gene actions played a notably significant role in the inheritance of most of the yield and fiber quality *** F1 hybrids of(Giza 90×Aust)×Giza 86,Uzbekistan 1×Giza 97,and Giza 96×Giza 97 demonstrated superior performance due to their favorable integration of high yield attributes and premium fiber quality *** a.a.ysis revealed that lint yield has the highest positive direct effect on seed cotton yield,while lint percentage showed the highest negative direct effect on seed cotton *** component a.a.ysis identified specific parents and hybrids associated with higher cotton yield,fiber quality,and other agronomic *** This study provides insights into identifying potential single-and three-way cross hybrids with superior cotton yield and fiber quality cha.a.teristics,laying a foundation for future research on improving fiber quality in cotton.

关键词： Gossypium barbadense L. Combining ability Seed cotton yield Fiber quality Cluster a.a.ysis Path a.a.ysis

Fault Detection and Identification Using Deep Learning Algorithms in Induction Motors

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Computer Modeling in Engineering & Sciences 2022年第11期133卷 435-470页

作者： Majid Hussain Ta.a. Din memon Imtiaz Hussain Zubair Ahmed memon Dileep Kumar Department of Electronic Engineering Quaid-e-Awam University of Engineering Science and TechnologyNawabshah67480Pakistan NCRA Condition Monitoring Systems Lab Mehran University of Engineering and TechnologyJamshoro76062Pakistan Department of Electronic Engineering Mehran University of Engineering and TechnologyJamshoro76062Pakistan Design and Creative Technology Torrens University AustraliaMelbourneAustralia Department of Electronics and Power Engineering Pakistan Navy Engineering College NUSTKarachi75350Pakistan

Owing to the 4.0 industrial revolution condition monitoring maintenance is widely accepted as a useful approach to avoiding plant disturbances and ***,Motor Current Signature a.a.ysis(MCSA)is widely reported as a condition monitoring technique in the detection and identification of individual andmultiple Induction Motor(IM)***,checking the fault detection and classification with deep learning models and its comparison among them selves or conventional approaches is rarely reported in the ***,in this work,wepresent the detection and identification of induction motor faults with MCSa.a.d three Deep Learning(DL)models namely MLP,LSTM,and ***,we have developed the model of Squirrel Cage induction motor in MATLAB and simulated it for single phasing and stator winding faults(SWF)using Fast Fourier Transform(FFT),Short Time Fourier Transform(STFT),and Continuous Wavelet Transform(CWT)to detect and identify the healthy and unhealthy conditions with phase to ground,single phasing and in multiple fault conditions using Motor Current Signature *** faults impact on stator current is presented in the time and frequency domain(i.e.,power spectrum).The simulation results show that the scalogram has shown good results in time-frequency a.a.ysis for fault and showing its impact on the energy of current during individual fault and multiple fault *** is further investigated with three deep learning models(i.e.,MLP,LSTM,and 1D-CNN)for checking the fault detection and identification(i.e.,classification)improvement in a three-phase induction *** simulating the three-phase induction motor in various healthy and unhealthy conditions in MATLAB,we have collected current signature da.a.in the time domain,labeled them accordingly and created the 50 thousand samples da.a.et for DL *** the DL models are trained and validated with a suitable number of architecture *** simulation,the multiclass confusion

关键词： Condition monitoring motor fault diagnosis stator winding faults deep learning signal processing

Embedded System Development for Detection of Railway Track Surface Deformation Using Contour Feature Algorithm

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Computers, Materials & Continua 2023年第5期75卷 2461-2477页

作者： Tarique Rafique memon Ta.a. Din memon Imtiaz Hussain Kalwar Bha.a.i Shankar Chowdhry NCRA-HHCMS Lab Mehran University of Engineering&Technology Jamshoro76062Pakistan Department of Electronic Engineering Quaid-e-Awam University of EngineeringScience&Technology Nawabshah67480Pakistan Design and Creative Technology Torrens University Australia196 Flinders StreetMelbourneVIC 3000Australia Department of Electronic Engineering Mehran University of Engineering and TechnologyJamshoro76062Pakistan Department of Electronics and Power Engineering Pakistan Navy Engineering CollegeNUST Karachi75350Pakistan

Derailment of trains is not unusual all around the world,especially in developing countries,due to unidentified track or rolling stock faults that cause massive casualties each *** this purpose,a proper condition monitoring system is essential to avoid accidents and heavy ***,the detection and classification of railway track surface faults in real-time requires massive computational processing and memory resources and is prone to a noisy ***,in this paper,we present the development of a novel embedded system prototype for condition monitoring of railway *** proposed prototype system works in real-time by acquiring railway track surface images and performing two tasks a)detect deformation(i.e.,faults)like squats,shelling,and spalling using the contour feature algorithm and b)the vibration signature on that faulty spot by synchronizing acceleration and image da.a.A new illumination scheme is also proposed to avoid the sunlight reflection that badly affects the image acquisition *** contour detection algorithm is applied here to detect the uneven shapes and discontinuities in the geometrical structure of the railway track surface,which ultimately detects unhealthy *** works by converting Red,Green,and Blue(RGB)images into binary images,which distinguishes the unhealthy regions by making them white color while the healthy regions in black *** have used the multiprocessing technique to overcome the massive processing and memory *** embedded system is developed on Raspberry Pi by interfacing a vision camera.a. accelerometer,a proximity sensor,and a Global Positioning System(GPS)sensors(i.e.,multi-sensors).The developed embedded system prototype is tested in real-time onsite by installing it on a Railway Inspection Trolley(RIT),which runs at an average speed of 15 km/*** functional verification of the proposed system is done successfully by detecting and recording the various railway track surface faul

关键词： Railway track surface faults condition monitoring system fault detection contour detection deep learning image processing rail wheel impact

The Development Trends and Research Fronts in Orbital Angular Momentum Technology:A Bibliometric a.a.ysis

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China Communications 2023年第2期20卷 289-310页

作者： Saleemullah memon Xiuping Li Kamran Ali memon Yuhan Huang Junaid Ahmed Uqaili Muhammad Ishfaq School of Electronic Engineering Beijing University of Posts and TelecommunicationsBeijing 100876China Beijing Key Laboratory of Work Safety Intelligent Monitoring Beijing University of Posts and TelecommunicationsBeijing 100876China Department of Telecommunication Engineering Quaid-e-Awam University of EngineeringScience&TechnologyPakistan

Orbital angular momentum(OAM)technology,refers to Laguerre-Gaussian(LG)beams,twisted beams,vector/vortex beams,acoustic vortex beams and fractional vortex *** is an emerging and promising technology to improve the communication ca.a.ity,spectral efficiency,and anti-jamming ca.a.ility due to its helical phase fronts and infinite orthogonal *** the OAM research began in the 1990s,the developing trends,current status,issues and cha.a.teristics through a systematic observation have not yet been *** paper presents a knowledge-based evolution of OAM research published in the Web of Science(WoS)from 2011 to 2021 using bibliometric a.a.ysis in *** results demonstrate that the bandwidth,efficiency,gain,divergence,phase quantization,bulky and complex feeding structures,misalignment,distortion,interferences atmospheric turbulence and diffraction were the key issues found in the OAM *** main research hotspots and categories,influential authors,leading journals,best institutions of OAM show a strong bias in favor of their functions and technology *** research on OAM was mainly performed by the counties that have developed the 5G and now moving towards 6G communications like China,USa.a.d South *** study would serve as an inclusive guide on the future research trends and status especially for the OAM researchers.

关键词： orbital angular momentum(OAM) vortex beams bibliometric a.a.ysis CiteSpace

Hydrodynamics and Heat Transfer a.a.ysis of Airflow in a Sinusoidally Curved Channel

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Computers, Materials & Continua 2022年第6期71卷 4835-4853页

作者： Abid.A.memon M.Asif memon Kaleemullah Bhatti Thanin Sitthiwirattham Nichaphat Pa.a.a.a.eelert Department of Mathematics and Social Sciences Sukkur IBA UniversitySukkur65200SindhPakistan Mathematics Department Faculty of Science and TechnologySuan Dusit UniversityBangkok10300Thailand Department of Mathematics Faculty of Applied ScienceKing Mongkut’s University of Technology North BangkokBangkok10800Thailand

For heat transfer enhancement in heat exchangers,different types of channels are often *** performance of heat exchangers can be made better by considering geometry composed of sinusoidally curved *** research studies the modeling and simulation of airflow through a 2πunits long sinusoidally curved wavy *** the purpose,two-dimensional Navier Stokes equations along with heat equations are under *** simulate the fluid flow problem,the finite element-based software COMSOL Multiphysics 5.4 is *** pa.a.etric study for Reynolds number from Re=100 to Re=1000 and the period of vibration P from 0 to 5 are *** surface plots,streamline patterns,contours,and graphs are presented for the velocity field magnitude,temperature,and pressure a.a.nst the Reynolds number as well as period of *** results are compared with various *** is found that due to the creation of periodic contraction regions the velocity magnitude of the flow is continuously increasing with the increase of Reynolds number,on the contrary the pressure is decreasing from inlet to outlet of the ***,a periodic variation in the pressure distribution along the vibrating boundaries has been found with an average increase of 500%for the high Reynolds number.A novel work was done by expressing the rotation rate per second in terms of local Reynolds number for the recirculating regions found due to the periodic oscillation of the *** average temperature near the outlet where a fixed temperature is imposed initially is decreasing with an increase in Reynolds *** convection process is weakened due to an increase of periodic vibration of boundaries.

关键词： Simulation of fluid flow heat transfer cosine function wavy channel