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State of Health Estimation of LiFePO_(4) Batteries for Battery Management Systems

Computers, Materials & Continua 2022年第11期73卷 3149-3164页

作者： Areeb Khalid Syed Abdul Rahman Kashif Noor ul Ain Ali Nasir Department of Electrical Engineering University of Engineering and TechnologyLahorePakistan Department of Electrical Engineering University of Central PunjabLahorePakistan

When considering the mechanism of the batteries,the capacity reduction at storage(when not in use)and cycling(during use)and increase of internal resistance is because of degradation in the chemical composition inside the *** optimize battery usage,a battery management system(BMS)is used to estimate possible aging effects while different load profiles are requested from the *** is specifically seen in a case when the vehicle is connected to the net(online through BMS).During this process,the BMS chooses the optimized load profiles based on the least aging effects on the battery *** major focus of this paper is to design an algorithm/model for lithium iron phosphate(LiFePO4)*** model of the batteries is based on the accelerated aging test data(data from the beginning of life till the end of life).The objective is to develop an algorithm based on the actual battery trend during the whole life of the *** the analysis of the test data,the complete trend of the battery aging and the factors on which the aging is depending on is identified,the aging model can then be recalibrated to avoid any differences in the production process during cell *** validation of the model was carried out at the end by utilizing different driving profiles at different C-rates and different ambient temperatures.A Linear and non-linear model-based approach is used based on statistical *** parameterization was carried out by dividing the data into small chunks and estimating the parameters for the individual ***-adaptive characteristic map using a lookup table was also *** nonlinear model was chosen as the best candidate among all other approaches for longer validation of 8-month data with real driving data set.

关键词： Aging model state of health lithium-ion cells battery management system state of charge battery modeling

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Fe doping promoted electrocatalytic N2 reduction reaction of 2H MoS2

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Chinese Chemical Letters 2020年第9期31卷 2487-2490页

作者： Jiaojiao Guo Tsegaye Tadesse Tsega Ibrahim ul islam Asma Iqbal Jiantao Zai Xuefeng Qian School of Chemistry and Chemical Engineering and State Key Laboratory of Metal Matrix Composites Shanghai Jiao Tong UniversityShanghai 200240China

Electrocatalytic N2 reduction to ammonia is a fascinating alternative to Haber-Bosch process and also considered as an energy sto rage *** work,Fe doped MoS2/carbon cloth(CC) has been studied on the electro-catalysis fix nitrogen indicating the doped Fe can indeed enhance the MoS2 material *** with MoS2/CC,Fe-Mo-S-3/CC not only increases 10 times in the rate of production ammonia,but also 5 times in Faraday efficiency.

关键词： 2H MoS2 Electrocatalytic N2 reduction reaction(NRR) Fe doping Ammonia

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An Efficient and Robust Hand Gesture Recognition System of Sign Language Employing Finetuned Inception-V3 and Efficientnet-B0 Network

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Computer Systems Science & Engineering 2023年第9期46卷 3509-3525页

作者： Adnan Hussain Sareer ul Amin Muhammad Fayaz Sanghyun Seo Department of Computer Science Islamia College UniversityPeshawar25120Pakistan Department of Computer Science and Engineering Chung-Ang UniversitySeoul06974Korea Department of Computer Engineering Cyprus International UniversityLefkosa99010Rep.of North Cyprus College of Art and Technology Chung-Ang.UniversityAnseong17546Korea

Hand Gesture Recognition(HGR)is a promising research area with an extensive range of applications,such as surgery,video game techniques,and sign language translation,where sign language is a complicated structured form of hand *** fundamental building blocks of structured expressions in sign language are the arrangement of the fingers,the orientation of the hand,and the hand’s position concerning the *** importance of HGR has increased due to the increasing number of touchless applications and the rapid growth of the hearing-impaired ***,real-time HGR is one of the most effective interaction methods between computers and *** a user-free interface with good recognition performance should be the goal of real-time HGR ***,Convolutional Neural Network(CNN)shows great recognition rates for different image-level classification *** is challenging to train deep CNN networks like VGG-16,VGG-19,Inception-v3,and Efficientnet-B0 from scratch because only some significant labeled image datasets are available for static hand gesture ***,an efficient and robust hand gesture recognition system of sign language employing finetuned Inception-v3 and Efficientnet-Bo network is proposed to identify hand gestures using a comparative small HGR *** show that Inception-v3 achieved 90%accuracy and 0.93%precision,0.91%recall,and 0.90%f1-score,respectively,while EfficientNet-B0 achieved 99%accuracy and 0.98%,0.97%,0.98%,precision,recall,and f1-score respectively.

关键词： Pretrained CNN hand gesture recognition transfer learning

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Synthesis and applications of fungal mycelium-based advanced functional materials

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Journal of Bioresources and Bioproducts 2021年第1期6卷 1-10页

作者： Sehrish Manan Muhammad Wajid ullah Mazhar ul-islam Omar Mohammad Atta Guang Yang Department of Biomedical Engineering Huazhong University of Science and TechnologyWuhan 430074China Department of Chemical Engineering College of EngineeringDhofar UniversitySalalahSultanate of Oman

Over the last couple of decades,the introduction of living systems to material science for the synthesis of functional materials from biological resources is receiving immense *** is also in accordance with the need for green and sustainable development of new *** example,the growing concerns of the degradation of synthetic plastics are shifting the direction of materials-related research to the use of polymeric materials acquired from renewable *** example,the fungal mycelium-based materials are produced by growing the vegetative part of mushroom-forming fungi on different organic *** fungi are known for their ability to degrade agricultural wastes such as straws and *** mycelium-based composites having tailored structural,physical,chemical,mechanical,and biological properties are relying on the strain,feeding substrate,and the manufacturing *** mycelium cell wall mainly contains the chitin,glucans,proteins,and lipids,whose concentrations depend upon the feeding substrate that ultimately defines the final properties of the synthesized *** mycelium-based functional materials with tunable properties are synthesized by selecting the desired components and the synthesis *** pure and composites of stiff,elastic,porous,less dense,fast-growing,and low-cost mycelium-derived materials with efficient antimicrobial,antioxidant,and skin whitening properties pave their way in various applications such as construction,packaging,medicine,and *** review describes the synthesis and structural organization of mycelium-based *** further discusses the effect of different factors on the material ***,it summarizes different applications of mycelium-based materials in medicine,cosmetics,packaging,and construction fields.

关键词： Mycelium Material science Biomedical Cosmetics Packaging Construction

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Structural and optoelectronic properties of CsLnZnTe_(3)(Ln=La,Pr,Nd and Sm)

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Journal of Rare Earths 2023年第3期41卷 388-396,I0003页

作者： Imad Khan Ihsan ullah Izaz ul Haq Akbar Ali A.Dahshan Zahid Ali Iftikhar Ahmad Center for Computational Materials Science Department of PhysicsUniversity of MalakandChakdaraPakistan Department of Physics Faculty of ScienceKing Khalid UniversityP.O.Box 9004AbhaSaudi Arabia Department of Physics Faculty of SciencePort Said UniversityPort SaidEgypt Gomal University Dera Ismail KhanPakistan

Zinc telluride is a versatile wide band gap semiconductor used in many *** it has certain limitations like large dimensions and large band *** alkali metal to its bulk lattice(3D)can reduce its dimensions and lanthanide can produce a red shift in the energy gap by converting it into quaternary *** alkali and lanthanide incorporated quaternary zinc tellurides CsLnZnTe_(3)(Ln=La,Pr,Nd and Sm)form layered crystal structure in which_(∞)^(2)[LnZnTe_(3)]-layers are separated by Cs+*** famous lanthanide contraction is experimental both from lattice constants and bond *** calculated band gaps are 2.26,2.28,2.12,2.05 eV for CsLaZnTe_(3),CsPrZnTe_(3),CsNdZnTe_(3) and CsSmZnTe_(3),*** compounds show direct band gap *** energy band gaps of these compounds have not been evaluated yet both experimentally and *** loss functions,refractive index and dielectric functions were also calculated to explore the potential applications of CsLnZnTe_(3) in optoelectronic devices.

关键词： Chalcogenides Optical materials Electronic structure Dimensions reduction Ab-initio calculations Rare earths

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Development of Molecular Marker Linked with Cercospora Leaf Spot (CLS) Disease Resistance in Vigna radiata, Cloning, and Expression for Evaluating Antifungal Activity against Cercospora canescens

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Phyton-International Journal of Experimental Botany 2023年第4期92卷 1289-1300页

作者： Maria Babar Siddra Ijaz Imran ul Haq Muhammad Sarwar Khan Centre of Agricultural Biochemistry and Biotechnology(CABB) University of Agriculture FaisalabadFaisalabad38040Pakistan Department of Plant Pathology University of Agriculture FaisalabadFaisalabad38040Pakistan

We developed a molecular marker for MAS of mungbean resistant varieties against CLS from the consensus sequence(MB-CLsRG)of identified RGAs(MB-ClsRCaG1 and MB-ClsRCaG2).The MB-CLsRG sequence-specific primer pair was used to screen Cercospora leaf spot(CLS)resistant varieties of mungbean in genomic analysis that showed congruency with phenotypic *** of molecular marker linkage with CLS resistance was performed using rtPCR in transcriptomic *** sequenced PCR products showed 100%homology with MB-CLsRG sequence and putative disease resistance proteins that confirmed the linkage of molecular marker with CLS resistance in *** antifungal potential of MB-CLsRG gene encoding protein was *** MB-CLsRG gene sequence was cloned in the *** expression vector for recombinant protein *** recombinant protein was then investigated for its in vitro antifungal potential against Cercospora *** in vitro investigation showed strong antifungal activity of recombinant protein as it restricted the growth of fungal mycelial *** results validated the linkage of developed marker with CLS-resistant mungbean varieties;therefore,it can be used to screen resistant varieties from a large population in ***,the recombinant protein of the MB-CLsRG gene sequence revealed antifungal potential,which proved the gene sequence could be suitable to use in transgenic plants technology to develop fungal-resistant transgenic crops.

关键词： Molecular marker mungbean MAS recombinant protein antifungal potential

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Nanosuspension enhances dissolution rate and oral bioavailability of Terminalia arjuna bark extract in vivo and in vitro

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Asian Pacific Journal of Tropical Biomedicine 2020年第4期10卷 164-171页

作者： Fatiqa Zafar Nazish Jahan Khalil-Ur-Rahman Muhammad Rafique Asi Waseeq-ul-islam Zafar Department of Chemistry University of OkaraOkaraPakistan Department of Chemistry University of AgricultureFaisalabadPakistan Department of Biochemistry University of AgricultureFaisalabadPakistan Food Toxicology Lab Plant Protection DivisionNuclear Institute for Agriculture and BiologyFaisalabadPakistan Department of Computer Science COMSATS University of Information and TechnologyIslamabadPakistan

Objective:To enhance the dissolution rate and oral bioavailability of Terminalia arjuna bark extract by formulating its ***:Nanoprecipitation approach was used for the formulation of nanosuspension using polysorbate-80 as a *** formulated nanosuspension was assessed for particle size,polydispersity index,zeta potential value and for in vitro dissolution *** bioavailability studies were carried out in Wistar male albino rats by administering a single dose(50 mg/***)of the formulated nanosuspension and coarse *** storage stability of the formulated nanosuspension was determined after three months of storage at room temperature and under the refrigerated *** assay was carried out to evaluate the toxicity of the formulated nanosuspension using two mutant strains(Salmonella typhimurium TA100 and Salmonella typhimurium TA98).Results:The mean particle size of the formulated nanosuspension was 90.53 nm with polydispersity index and zeta potential values of 0.175 and-15.7 m V,*** arjuna nanosuspension showed improved dissolution rate and 1.33-fold higher oral bioavailability than its coarse *** formulated nanosuspension also showed better stability under the refrigerated condition and was non-mutagenic against both ***:Our study demonstrates that nanosuspension technology can effectively enhance the dissolution rate and oral bioavailability of Terminalia arjuna bark extract.

关键词： Terminalia arjuna Nanosuspension Bioavailability Stability Toxicity Polysorbate-80

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Prediction of Anoxic Sulfide Biooxidation Under Various HRTs Using Artificial Neural Networks

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Biomedical and Environmental Sciences 2007年第5期20卷 398-403页

作者： QAISAR MAHMOOD PING ZHENG DONG-LEI WU XU-SHENG WANG HAYAT YOUSAF ejaz ul-islam MUHAMMAD JAFFAR HASSAN GHulAM JILANI MUHAMMAD RASHID AZIM Department of Environmental Engineering College of Environment and Resource Science Zhejiang University Hangzhou 310029 Zhejiang China Institute of Statistical Genetics Zhejiang University Hangzhou 310029 Zhejiang China tUniversity of Arid Agriculture Rawalpindi Pakistan University of Arid Agriculture Rawalpindi Pakistan Federal Government Post-graduate College Sector H-8 Islamabad Pakistan

Objective During present investigation the data of a laboratory-scale anoxic sulfide oxidizing （ASO） reactor were used in a neural network system to predict its performance. Methods Five uncorrelated components of the influent wastewater were used as the artificial neural network model input to predict the output of the effluent using back-propagation and general regression algorithms. The best prediction performance is achieved when the data are preprocessed using principal components analysis （PCA） before they are fed to a back propagated neural network. Results Within the range of experimental conditions tested, it was concluded that the ANN model gave predictable results for nitrite removal from wastewater through ASO process. The model did not predict the formation of sulfate to an acceptable manner. Conclusion Apart from experimentation, ANN model can help to simulate the results of such experiments in finding the best optimal choice for ASO based denitrification. Together with wastewater collection and the use of improved treatment systems and new technologies, better control of wastewater treatment plant （WTP） can lead to more effective maneuvers by its operators and, as a consequence, better effluent quality.

关键词： Artificial neural networks Effluent sulfide prediction Effluent nitrite prediction Principal components analysis Wastewater treatment ASO reactor

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Inhibitor tolerance and bioethanol fermentability of levoglucosan-utilizing Escherichia coli were enhanced by overexpression of stress-responsive gene ycfR:The proteomics-guided metabolic engineering

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Synthetic and Systems Biotechnology 2021年第4期6卷 384-395页

作者： Dongdong Chang Zia ul islam Junfang Zheng Jie Zhao Xiaoyong Cui Zhisheng Yu College of Resources and Environment University of Chinese Academy of SciencesBeijing100049PR China Department of Chemistry Mississippi State UniversityMississippi StateMS 39762USA Department of Biochemistry and Molecular Biology School of Basic Medical SciencesCapital Medical UniversityBeijing100069PR China Yanshan Earth Critical Zone and Surface Fluxes Research Station Chinese Academy of SciencesNo.380 Huaibei TownHuairou DistrictBeijing101408PR China RCEES-IMCAS-UCAS Joint-Lab of Microbial Technology for Environmental Science Beijing100085PR China

Pretreatment of lignocellulosic biomass is crucial for the release of biofermentable sugars for biofuels production,which could greatly alleviate the burgeoning environment and energy crisis caused by the massive usage of traditional fossil *** is a cost-saving pretreatment process that can readily decompose biomass into levoglucosan,a promising anhydrosugar;however,many undesired toxic compounds inhibitory to downstream microbial fermentation are also generated during the pyrolysis,immensely impeding the bioconversion of levoglucosan-containing ***,we took the first insight into the proteomic responses of a levoglucosan-utilizing and ethanol-producing Escherichia coli to three representative biomass-derived inhibitors,identifying large amounts of differentially expressed proteins(DEPs)that could guide the downstream metabolic engineering for the development of inhibitor-resistant *** up-and eight down-regulated DEPs were further identified as the biomarker stress-responsive proteins candidate for cellular tolerance to multiple *** these biomarker proteins,YcfR exhibiting the highest expression fold-change level was chosen as the target of overexpression to validate proteomics results and develop robust strains with enhanced inhibitor tolerance and fermentation ***,based on four plasmid-borne genes encoding the levoglucosan kinase,pyruvate decarboxylase,alcohol dehydrogenase,and protein YcfR,a new recombinant strain *** LGE-ycfR was successfully created,showing much higher acetic acid-,furfural-,and phenol-tolerance levels compared to the control without overexpression of *** specific growth rate,final cell density,ethanol concentration,ethanol productivity,and levoglucosan consumption rate of the recombinant were also remarkably *** the proteomics-guided metabolic engineering and phenotypic observations,we for the first time corroborated that YcfR is a stress-induced protein responsi

关键词： Lignocellulosic biomass Levoglucosan Inhibitor Proteomics Gene overexpression Bioethanol

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High-performance and Multi-functional Control of Transformerless Single-phase Smart Inverter for Grid-connected PV System

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Journal of Modern Power Systems and Clean Energy 2021年第6期9卷 1386-1394页

作者： Kamran Zeb Saif ul islam Waqar Uddin Imran Khan Muhammad Ishfaq Tiago Davi Curi Busarello H.J.Kim Department of Electrical Engineering Pusan National University School of Electrical Engineering and Computer Science National University of Sciences and Technology Department of Control Automation and Computing EngineeringFederal University of Santa Catarina Blumenau

Highly reliable and flexible control is required for distributed generation(DG) to efficiently connect to the *** inverters play a key role in the control and integration of DG into the power grid and provide advanced functionalities. In this paper, an energy-based single-phase voltage-source smart inverter(SPV-SSI) of 5 k VA is designed and analyzed in detail. SPV-SSI is capable of supplying the power to local load and the utility load up to the rated capacity of the inverter, injecting the power into the grid, storing the energy in lead-acid battery bank, controlling the voltage at the point of common coupling(PCC) during voltage sags or faults, and making decisions on real-time pricing information obtained from the utility grid through advanced metering. The complete design of smart inverter in dq frame, bi-directional DC-DC buck-boost converter, IEEE standard 1547 based islanding and recloser, and static synchronous compensator(STATCOM) functionalities is presented in this paper. Moreover, adaptive controllers, i. e., fuzzy proportional-integral(F-PI) controller and fuzzy-sliding mode controller(F-SMC) are designed. The performances of F-PI controller and F-SMC are superior, stable, and robust compared with those of conventionally tuned PI controllers for voltage control loop(islanded mode) and current control loop(grid-connected mode).

关键词： Distributed generation(DG) inverter convert-er fuzzy-sliding mode controller(F-SMC) fuzzy proportionalintegral(F-PI)controller

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