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Improved Semi-empirical Model of Proton Exchange Membrane Fuel Cell Incorporating Fault Diagnostic Feature

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Journal of Modern Power Systems and Clean Energy 2021年第6期9卷 1566-1573页

作者： Saad saleem khan Hussain Shareef Ahmad Asrul Ibrahim Department of Electrical Engineering College of EngineeringUnited Arab Emirates University IEEE Department of Electrical Electronic and Systems EngineeringFaculty of Engineering and Built EnvironmentUniversiti Kebangsaan Malaysia

The membrane water content of the proton exchange membrane fuel cell(PEMFC)is the most important feature required for water management of the PEMFC *** improper management of water in the fuel cell may lead to system *** various faults,flooding and drying faults are the most frequent in the PEMFC *** paper presents a new dynamic semi-empirical model which requires only the load current and temperature of the PEMFC system as the input while providing output voltage and membrane water content as its major *** other PEMFC systems,the proposed dynamic model calculates the internal partial pressure of oxygen and hydrogen rather than using special internal ***,the membrane water content and internal resistances of PEMFC are modelled by incorporating the load current condition and temperature of the PEMFC *** model parameters have been extracted by using a quantum lightening search algorithm as an optimization technique,and the performance is validated with experimental data obtained from the NEXA 1.2 k W PEMFC *** further demonstrate the capability of the model in fault detection,the variation in membrane water content has been studied via the *** proposed model could be efficiently used in prognostic and diagnosis systems of PEMFC fault.

关键词： Proton exchange membrane fuel cell(PEMFC)fault membrane water content modelling optimization quan-tum lightening search algorithm

INTERACTION OF POLYVINYLPYRROLIDONE WITH METAL CHLORIDE AQUEOUS SOLUTIONS

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Chinese Journal of Polymer Science 2004年第6期22卷 581-584页

作者： Mohammad saleem khan Khaista Gul Najeeb Ur Rehman National Center of Excellence in Physical Chemistry University of Peshawar Peshawar 25120 PakistanNational Center of Excellence in Physical Chemistry University of Peshawar Peshawar 25120 PakistanNational Center of Excellence in Physical Chemistry University of Peshawar Peshawar 25120 Pakistan

Interactions of polyvinylpyrrolidone (PVP) with metal chlorides (MgCl 2 , CaCl 2 , KCl and BaCl 2 ) have been investigated by viscometric and spectrophotometric techniques in aqueous solutions. Intrinsic viscosity [η] of (PVP) has shown a discontinuity with varying concentration of metal chlorides. The decreasing order of effectiveness of cation is K 1+ > Ca 2+ > Mg 2+ > Ba 2+ for poly(vinylpyrrolidone) solution. Changes in the absorption spectra of the cosolutes were observed in the presence of PVP in the lower limit of the UV-visible region i.e. 200-210 nm. These changes were attributed to interaction of PVP molecules with the cosolute molecules. As the concentration of the cosolute increased, a red shift in the peaks was observed, indicating an increase in interaction between PVP and cosolutes.

关键词： Polyvinylpyrrolidone PVP Metal chlorides Interaction Intrinsic Viscosity

Degradation of polyacrylamide (PAM) and methane production by mesophilic and thermophilic anaerobic digestion: Effect of temperature and concentration

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Frontiers of Environmental Science & Engineering 2020年第6期14卷 75-85页

作者： Mona Akbar Muhammad Farooq saleem khan Ling Qian Hui Wang State Key Joint Laboratory of Environment Simulation and Pollution Control School of EnvironmentTsinghua UniversityBeijing 100084China Sino-Japan Friendship Center for Environmental Protection Beijing 100029China

Polyacrylamide(PAM)is generally employed in wastewater treatment processes such as sludge dewatering and therefore exists in the ***,it degrades slowly and can deteriorate methane yield during anaerobic digestion(AD).The impact or fate of PAM in AD under thermophilic conditions is still *** study mainly focuses on PAM degradation and enhanced methane production from PAM-added sludge during 15 days of thermophilic(55°C)AD compared to mesophilic(35°C)*** and PAM dose from 10 to 50 g/kg TSS were *** results showed that PAM degraded by 76%to 78%with acrylamide(AM)content of 0.2 to 3.3 mg/L in thermophilic ***,it degraded only 21%to 30%with AM content of 0.5 to 7.2 mg/L in mesophilic *** methane yield was almost 230 to 238.4 mL/g VSS on the 8th day in thermophilic AD but was 115.2 to 128.6 mL/g VSS in mesophilic *** investigation revealed that thermophilic AD with continuous stirring not only enhanced PAM degradation but also boosted the organics release from the sludge with added PAM and gave higher methane yield than mesophilic AD.

关键词： Polyacrylamide(PAM)degradation Acrylamide(AM) Mesophilic anaerobic digestion Thermophilic anaerobic digestion Methane production

Early Detection of Diabetic Retinopathy Using Machine Intelligence throughDeep Transfer and Representational Learning

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Computers, Materials & Continua 2021年第2期66卷 1631-1645页

作者： Fouzia Nawaz Muhammad Ramzan Khalid Mehmood Hikmat Ullah khan saleem Hayat khan Muhammad Raheel Bhutta Department of Computer Science and Information Technology University of SargodhaSargodha40100Pakistan and School of Systems and TechnologyUniversity of Management and TechnologyLahore54782Pakistan Department of Computer Science COMSATS University IslamabadWah CampusIslamabadPakistan University Hospital Birmingham BirminghamUK Shifa International Hospital IslamabadPakistan Department of Computer Science and Engineering Sejong UniversitySeoulKorea

Diabetic retinopathy (DR) is a retinal disease that causes irreversible *** occurs due to the high blood sugar level of the patient, and it is clumsy tobe detected at an early stage as no early symptoms appear at the initial level. To preventblindness, early detection and regular treatment are needed. Automated detectionbased on machine intelligence may assist the ophthalmologist in examining thepatients’ condition more accurately and efficiently. The purpose of this study is toproduce an automated screening system for recognition and grading of diabetic retinopathyusing machine learning through deep transfer and representational *** artificial intelligence technique used is transfer learning on the deep neural network,Inception-v4. Two configuration variants of transfer learning are applied onInception-v4: Fine-tune mode and fixed feature extractor mode. Both configurationmodes have achieved decent accuracy values, but the fine-tuning method outperformsthe fixed feature extractor configuration mode. Fine-tune configuration modehas gained 96.6% accuracy in early detection of DR and 97.7% accuracy in gradingthe disease and has outperformed the state of the art methods in the relevant literature.

关键词： Diabetic retinopathy artificial intelligence automated screening system machine learning deep neural network transfer and representational learning

Autonomous Parking-Lots Detection with Multi-Sensor Data Fusion Using Machine Deep Learning Techniques

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Computers, Materials & Continua 2021年第2期66卷 1595-1612页

作者： Kashif Iqbal Sagheer Abbas Muhammad Adnan khan Atifa Ather Muhammad saleem khan Areej Fatima Gulzar Ahmad School of Computer Science National College of Business Administration&EconomicsLahore54000Pakistan Department of Computer Sciences GC UniversityLahore54000Pakistan Department of Computer Science Lahore Garrison UniversityLahore54000Pakistan Department of Computer Science Comsats University IslamabadLahore CampusLahore54000Pakistan

The rapid development and progress in deep machine-learning techniques have become a key factor in solving the future challenges of ***-based target detection and object classification have been improved due to the development of deep learning *** fusion in autonomous driving is a fact and a prerequisite task of data preprocessing from multi-sensors that provide a precise,well-engineered,and complete detection of objects,scene or *** target of the current study is to develop an in-vehicle information system to prevent or at least mitigate traffic issues related to parking detection and traffic congestion *** this study we examined to solve these problems described by(1)extracting region-of-interest in the images(2)vehicle detection based on instance segmentation,and(3)building deep learning model based on the key features obtained from input parking *** build a deep machine learning algorithm that enables collecting real video-camera feeds from vision sensors and predicting free parking *** augmentation techniques were performed using edge detection,cropping,refined by rotating,thresholding,resizing,or color augment to predict the region of bounding boxes.A deep convolutional neural network F-MTCNN model is proposed that simultaneously capable for compiling,training,validating and testing on parking video frames through *** results of proposed model employing on publicly available PK-Lot parking dataset and the optimized model achieved a relatively higher accuracy 97.6%than previous reported ***,this article presents mathematical and simulation results using state-of-the-art deep learning technologies for smart parking space *** results are verified using Python,TensorFlow,OpenCV computer simulation frameworks.

关键词： Smart parking-lot detection deep convolutional neural network data augmentation region-of-interest object detection

Magnesium-reinforced Electrospun Synthetic-polymer Nanofibers Designed for Promoting Tissue Growth

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Journal of Bionic Engineering 2024年第3期21卷 1412-1426页

作者： Muheeb Rafiq Anjum Hamid Rather Rumysa saleem khan Taha Umair Wani Haseeb A.khan Abdullah S.Alhomida Faheem A.Sheikh Nanostructured and Biomimetic Lab Department of NanotechnologyUniversity of Kashmir HazratbalSrinagarJammu and Kashmir190006India Non-Clinical Evaluation Center Biomedical Research InstituteJeonbuk National University HospitalJeonjuJeollabuk-do54907South Korea College of Pharmacy and Research Institute of Pharmaceutical Sciences Gyeongsang National UniversityJinju52828South Korea Research Chair for Biomedical Applications of Nanomaterials Department of BiochemistryCollege of ScienceKing Saud UniversityRiyadh11451Saudi Arabia

The creation of 3D nanofibers offering desirable functions for bone regeneration is developed due to the latest improvisations to the electrospinning *** polymers are among the best choices for medical usage due to their lower costs,high tensile properties,and ease of spinnability compared to natural *** this communication,we report a series of interventions to polymers modified with Mg-based fillers for ideal tissue engineering *** literature survey indicated that these filler materials(e.g.,nano-sized particles)enhanced biocompatibility,antibacterial activity,tensile strength,and anti-corrosive *** review discusses electrospinning parameters,properties,and applications of the poly(ε-caprolactone),poly(lactic acid),poly(3-hydroxybutyric acid-co-3-hydroxy valeric acid),polyurethane,and poly(vinyl pyrrolidone)nanofibers when modified with Mg-based *** report encourages researchers to use synthetic polymers with Mg as fillers and validate them for tissue engineering applications.

关键词： Bone regeneration Magnesium Nanofibers Tissue engineering

Corrosion Inhibition of X80 Steel in Simulated Marine Environment with Marinobacter aquaeolei

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Acta Metallurgica Sinica(English Letters) 2019年第11期32卷 1373-1384页

作者： M.saleem khan Dake Xu Dan Liu Yassir Lekbach Ke Yang Chunguang Yang Institute of Metal Research Chinese Academy of SciencesShenyang 110016China University of Chinese Academy of Sciences Beijing 100049China Corrosion and Protection Division Shenyang National Laboratory for Material SciencesNortheastern UniversityShenyang 110819China Laboratory of Microbial Biotechnology Faculty of Science and TechnologySidi Mohamed Ben Abdellah UniversityB.P.2202FezMorocco

In the present study, a novel bacterium( Marinobacter aquaeolei) was examined for its corrosion inhibiting behaviour against X80 pipeline steel. Electrochemical results showed that X80 steel immersed in the solution inoculated with M. aquaeolei possessed very high corrosion resistance compared to that of abiotic control. Besides, scanning electron microscopy, confocal laser scanning microscopy and energy-dispersive X-ray spectroscopy were employed to analyse the corrosion product and the biofi lm formed on the metal surface. Fourier-transform infrared spectroscopy was also applied to determine the composition of extracellular polymeric substances(EPS). Above results indicated that the corrosion inhibition effciency observed in biotic medium was very high(91%), proving that M. aquaeolei was an effective inhibitive agent for the corrosion of carbon steel. The inhibition was credited to the formation of bacterial biofi lm and the compact protective layer of the secreted EPS. Thus, this study will introduce a natural, environmentally friendly and cost-effective system for the corrosion control of the carbon steel.

关键词： X80 pipeline steel Corrosion inhibition Marinobacter aquaeolei

Insight into fluorescence properties of 14 selected toxic single-ring aromatic compounds in water:Experimental and DFT study

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Frontiers of Environmental Science & Engineering 2020年第3期14卷 59-74页

作者： Muhammad Farooq saleem khan Jing Wu Cheng Cheng Mona Akbar Bo Liu Chuanyang Liu Jian Shen Yu Xin State Key Joint Laboratory of Environment Simulation and Pollution Control School of EnvironmentTsinghua UniversityBeijing 100084China Research Institute for Environmental Innovation(Suzhou) Tsinghua UniversitySuzhou 215000China School of Physical Science and Technology&Jiangsu Key Laboratory of Thin Films Soochow UniversitySuzhou 215006China

Various single-ring aromatic compounds in water sources are of great concern due to its hazardous impact on the environment and human *** fluorescence excitation-emission matrix(EEMs)spectrophotometry is a useftil method to identify organic pollutants in *** study provides a detailed insight into the fluorescence properties of the 14 selected toxic single-ring aromatic compounds by experimental and theoretical *** theoretical analysis were done with Time-Dependent Density Functional Theory(TD-DFT)and B3LYP/6-31G(d,p)basis set,whereas,Polarizable Continuum Model(PCM)was used to consider water as *** selected compounds displayed their own specific excitation-emission(Ex/Em)wavelengths region,at ExCl>Br>I).In this study the theoretical results are in line with experimental *** understanding of fluorescence and photophysical properties are of great importance in the identification of these compounds in the water.

关键词： Fluorescence Photophysical properties Effect of the substituent Toxic aromatic compounds

Recent progress in MXenes incorporated into electrospun nanofibers for biomedical application: Study focusing from 2017 to 2022

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Chinese Chemical Letters 2023年第7期34卷 38-44页

作者： Muheeb Rafiq Sami-ullah Rather Taha Umair Wani Anjum Hamid Rather Rumysa saleem khan Anees Ellahi khan Ibtisam Hamid Haseeb A.khan Abdullah S.Alhomida Faheem A.Sheikh Nanostructured and Biomimetic Lab Department of NanotechnologyUniversity of Kashmir Hazratbal.Jammu and KashmirSrinagar 190006India Department of Chemical and Materials Engineering King Abdulaziz University.Jeddah 21589Saudi Arabia Research Chair for Biomedical Applications of Nanomaterials Department of BiochemistryCollege of ScienceKing Saud UniversityRiyadh 11451Saudi Arabia

After discovering a new class of two-dimensional(2D) material, i.e., MXene, a further new scope, came into existence for researchers. Due to their remarkable physical, chemical, and biological properties, MXenes find their role in almost every research discipline. They have been used in biosensors, bioimaging,tissue engineering, drug delivery systems, and other areas. The MXenes can be functionalized with a wide range of atoms/molecules, making them diverse materials. Therefore, the potential of using MXenes in nanofibers can be much more than expected. In this review, we will understand the structure, synthesis,and general properties of MXenes. We will explain using MXenes while encasing them into nanofibers,providing their specific properties. For instance, MXenes-incorporated nanofibers are used in biomedical applications, including soft and hard-tissue engineering and delivery of antimicrobials. Furthermore, MXenes, when incorporated into nanofibers, are used in promoting cellular differentiation, wound healing,and neural tissue restoration, which are briefly discussed in this communication.

关键词： MXenes Nanofibers Tissue engineering Antimicrobial Electrospinning