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Two roads diverge in the yellow pigments metabolic pathway for ABA synthesis

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Molecular Plant 2022年第1期15卷 3-5页

作者： Prateek gupta Varda Mann Joseph Hirschberg Department of Genetics Alexander Silberman Institute of Life SciencesThe Hebrew University of JerusalemJerusalem 9190401Israel

The phytohormone abscisic acid(ABA)is a 15-carbon molecule that fulfills essential functions in all *** regulates many as-pects of plant life,including growth and development,seed dormancy and germination,leaf senescence,and responses to various biotic and abiotic stresses(Finkelstein 2013).Due to the latter functions,ABA is also known as the"stress phytohormone."As in the case of other hormones,the level of ABA in the cells is critical for its precise regulatory functioning.

关键词： hormone metabolic yellow

CFD modeling and laboratory studies of dust cleaning efficacy of an efficient four stage non-clogging impingement filter for flooded-bed dust scrubbers

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International Journal of Coal Science & Technology 2022年第2期9卷 211-219页

作者： Ashish Ranjan Kumar Neeraj gupta Steven Schafrik Department of Mining Engineering University of KentuckyLexingtonKYUSA Department of Mining and Nuclear Engineering Missouri University of Science and Technology1400 N.Bishop AveRollaMO 65401USA

Fibrous-type flters are used to capture dust particles in mining and other occupations where personnel are exposed for prolonged *** cleansing devices including fooded-bed dust scrubbers use these mesh-type multi-layered *** flters trap dust particles efciently on their surface and inside their ***,their continued operation leads to dust build-up and *** results in increased resistance of the flter and lowered airfow rate through the *** could potentially enhance the exposure of the miners.A non-clogging self-cleaning impingement screen type dust flter was designed by the authors for use in mining and industrial dust cleansing *** flter guides dirt-laden air through rapidly turning paths which forces it to shed heavier *** particles impact one of the impermeable solid metallic flter surfaces and are removed from the airstream.A full cone water spray installed upstream prevents any surface buildup of *** paper summaried the computer models generated to show the flter operations and laboratory experiments including optical particle counting to establish the cleaning efciency.

关键词： Dust flter Computational fuid dynamics modeling Iso-kinetic sampling Optical particle counting Flooded-bed dust scrubber

Geographic patterns of genetic diversity and fertility restoration ability of Asian and African origin pearl millet populations

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The Crop Journal 2022年第2期10卷 468-477页

作者： K.Sudarshan Patil Shashi Kumar gupta International Crops Research Institute for the Semi-Arid Tropics(ICRISAT) PatancheruHyderabad 502324TelanganaIndia Professor Jayashankar Telangana State Agricultural University(PJTSAU) RajendranagarHyderabad 500030TelanganaIndia

A set of 45 diverse Asian and African origin/bred populations of pearl millet were investigated multi-locationally for morphological traits including grain yield and assessed for their fertility restoration ability on three cytoplasmic male sterility(CMS) systems in two contrasting seasons. Significant genetic variation was found for all the yield linked traits. Multivariate analysis for grain yield and its component traits grouped these populations into five clusters. Most of the Asian origin populations grouped into single cluster(Cluster III) and separated from the rest of the African origin populations indicating the presence of correspondence between clustering pattern and geographical origin of the populations. Clusters dominated with Asian populations(As-As) had linkages with early flowering, short plant height, more number of tillers, small and thin panicles, small seeded and low grain yield compared to the clusters dominated by African populations(Af-Af) or African origin and Asian bred(Af-As) *** related populations having common parentage were found grouped in same *** restoration/maintainer frequency of 45 populations on three diverse CMS systems revealed that overall fertility restoration frequency was highest for A1(86%) followed by A4(37%) and for A5(7%) CMS system. Five populations were identified as potential sources for developing maintainer lines for all three CMS systems and eight populations were identified specifically for A;and A;CMS systems. A set of 11 and four populations were identified for restorer line development exclusively for A;and A;CMS system,respectively. Six populations were identified for the development of dual restorers for both A;and A;CMS system.

关键词： CMS systems Fertility restoration Morphological diversity Pearl millet Populations

Multifunctional Bidirectional Charging System for EVs and Grid with Improved Power Quality Using a Sparse Proportionate-NLMF Based Method

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CSEE Journal of Power and Energy Systems 2023年第3期9卷 1203-1213页

作者： Dulichand Jaraniya Urvashi gupta Shailendra Kumar Arvind Mittal department of Electrical Engineering Maulana Azad National Institute of TechnologyBhopal(M.P.)India Energy Centre Maulana Azad National Institute of TechnologyBhopal(M.P.)India

Electric vehicles(EVs)are one of the more emerging and significant areas,representing the future of ***,the increased demand for EVs brings greater attention toward the development of the charging ***,this paper addresses the multifunctional charging system integrated with the grid,EV battery and household *** presents an improved idea about the charging system with grid connection and its connection to the varying local nonlinear *** consists of a voltage source converter(VSC)tied to the grid and bidirectional converter,which charges/discharges the battery and also regulates the constant voltage across the DC bus,where all the vehicles are connected for *** also shows the operations of charging/discharging the battery of EVs and the voltage and current profile across the battery as per the state of charge(SOC)***,the sparse constrained proportionate normalized least mean fourth(SCP-NLMF)based method is used to control the charging system by estimating the active component of load *** derived mean square error(MSE)of load current is improved due to low convergence rates in later *** adaptation process becomes more accurate by mitigating the MSE error of load current to converge faster and the dynamic response is further *** simulated and tested results validate the accuracy and efficacy of the SCPNLMF technique and charging system.

关键词： Multifunctional charging power quality SCPNLMF voltage source converter

Sustainable remediation of failed slope using helical soil nails

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Journal of Mountain Science 2023年第6期20卷 1742-1758页

作者： Saurabh RAWAT Ashok Kumar gupta Pankaj SHARMA Department of Civil Engineering Jaypee University of Information Technology Department of Civil Engineering Chitkara University Institute of Engineering and TechnologyChitkara University

The performance of a helical soil nailed structure is dependent on the installation torque required and the consequent pullout resistance *** present research work aims at proposing theoretical models to estimate the required torque during installation of helical soil ***,theoretical models are also developed to predict the pullout capacity of single and group of the helical nail for uniform and staggered *** proposed model predicts the pure-elastic and elastic-plastic pullout behavior of different helical *** equation for estimating the capacity-totorque Ratio(Kt)has also been developed for different nail shaft *** results from the proposed models are validated with experimental results obtained from model testing of both single and group of helical *** predicted results are also compared for validation with the published *** results for installation torque and pullout load depict that the developed models predict values which are in accordance with the experimental results and are also found in good agreement with the published ***,the proposed models can effectively be used by the filed engineers for estimating the required installation torque and corresponding pullout capacities for single or double plate helical soil nails in cohesionless soil under surcharge pressure range of 0–50k Pa.

关键词： Theoretical torque Pullout force Pure elastic Elastic plastic Capacity to torque ratio

Deep Learning Based Automated Detection of Diseases from Apple Leaf Images

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Computers, Materials & Continua 2022年第4期71卷 1849-1866页

作者： Swati Singh Isha gupta Sheifali gupta Deepika Koundal Sultan Aljahdali Shubham Mahajan Amit Kant Pandit Department of Electronics and Communication Engineering University Institute of TechnologyHimachal Pradesh UniversityShimla171005India Chitkara University Institute of Engineering and Technology Chitkara UniversityPunjabIndia Department of Systemics School of Computer ScienceUniversity of Petroleum and Energy StudiesDehradunIndia Department of Computer Science College of Computers and Information TechnologyTaif UniversityP.O.Box 11099Taif 21944Saudi Arabia School of Electronics&Communication Shri Mata Vaishno Devi UniversityKatra185320India

In Agriculture Sciences, detection of diseases is one of the mostchallenging tasks. The mis-interpretations of plant diseases often lead towrong pesticide selection, resulting in damage of crops. Hence, the automaticrecognition of the diseases at earlier stages is important as well as economicalfor better quality and quantity of fruits. Computer aided detection (CAD)has proven as a supportive tool for disease detection and classification, thusallowing the identification of diseases and reducing the rate of degradationof fruit quality. In this research work, a model based on convolutional neuralnetwork with 19 convolutional layers has been proposed for effective andaccurate classification of Marsonina Coronaria and Apple Scab diseases fromapple leaves. For this, a database of 50,000 images has been acquired bycollecting images of leaves from apple farms of Himachal Pradesh (H.P)and Uttarakhand (India). An augmentation technique has been performedon the dataset to increase the number of images for increasing the *** performance analysis of the proposed model has been compared with thenew two Convolutional Neural Network (CNN) models having 8 and 9 layersrespectively. The proposed model has also been compared with the standardmachine learning classifiers like support vector machine, k-Nearest Neighbour, Random Forest and Logistic Regression models. From experimentalresults, it has been observed that the proposed model has outperformed theother CNN based models and machine learning models with an accuracy of99.2%.

关键词： Deep learning convolutional neural network apple leaves apple scab support vector machine

Microstructural image based convolutional neural networks for efficient prediction of full-field stress maps in short fiber polymer composites

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Defence Technology（防务技术） 2023年第6期24卷 58-82页

作者： S.gupta T.Mukhopadhyay V.Kushvaha Department of Civil Engineering Indian Institute of Technology JammuJ&KIndia Department of Aerospace Engineering Indian Institute of Technology KanpurUPIndia

The increased demand for superior materials has highlighted the need of investigating the mechanical properties of composites to achieve enhanced constitutive ***-reinforced polymer composites have emerged as an integral part of materials development with tailored mechanical ***,the complexity and heterogeneity of such composites make it considerably more challenging to have precise quantification of properties and attain an optimal design of structures through experimental and computational *** order to avoid the complex,cumbersome,and labor-intensive experimental and numerical modeling approaches,a machine learning(ML)model is proposed here such that it takes the microstructural image as input with a different range of Young’s modulus of carbon fibers and neat epoxy,and obtains output as visualization of the stress component S11(principal stress in the x-direction).For obtaining the training data of the ML model,a short carbon fiberfilled specimen under quasi-static tension is modeled based on 2D Representative Area Element(RAE)using finite element *** composite is inclusive of short carbon fibers with an aspect ratio of 7.5that are infilled in the epoxy systems at various random orientations and positions generated using the Simple Sequential Inhibition(SSI)*** study reveals that the pix2pix deep learning Convolutional Neural Network(CNN)model is robust enough to predict the stress fields in the composite for a given arrangement of short fibers filled in epoxy over the specified range of Young’s modulus with high *** CNN model achieves a correlation score of about 0.999 and L2 norm of less than 0.005 for a majority of the samples in the design spectrum,indicating excellent prediction *** this paper,we have focused on the stage-wise chronological development of the CNN model with optimized performance for predicting the full-field stress maps of the fiber-reinforced composite ***

关键词： Micromechanics of fiber-reinforced composites Machine learning assisted stress prediction Microstructural image-based machine learning CNN based stress analysis

Drop weight impact analysis of GFRP tubes with hollow glass particle-filled matrix

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Defence Technology（防务技术） 2023年第11期29卷 1-9页

作者： Daniel Paul R.Velmurugan N.K.gupta Department of Aerospace Engineering Indian Institute of Technology MadrasChennaiIndia Department of Applied Mechanics Indian Institute of Technology DelhiNew DelhiIndia

Protecting occupants or payloads in crashes and blasts is of utmost importance in both moving and immobile *** way of achieving this is by using a sacrificial energy *** tubes have been studied as potential energy absorbers due to their ability to fail progressively under axial *** this study,the energy absorption capability of these tubes is enhanced by adding hollow glass particles to the ***-weight tests are performed on composite tubes,and a digital image correlation(DIC)-based technique is used to capture their load-displacement *** eliminates the use of electronic data acquisition systems,load cells,and *** load-displacement curves of the tubes are obtained from the DIC-based technique and examined to understand their crushing *** the mean crush load shows a drop,an increase in crush length is *** specific energy absorbed by the tubes improves with an increase in GMB volume *** addition of 0.1,0.2,0.3 and 0.4 vol fractions of GMB results in the specific energy absorption increasing by6.6%,14.7%,24%and 36.6%,respectively,compared to neat glass fibre-epoxy *** examination of the tubes and comparison with tubes subject to quasi-static compression is also performed.

关键词： Composite tubes Syntactic foam Impact Axial compression Digital image correlation

Fault Detection for Microgrid Feeders Using Features Based on Superimposed Positive-sequence Power

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Journal of Modern Power Systems and Clean Energy 2023年第6期11卷 1948-1958页

作者： Salauddin Ansari Om Hari gupta Om P.Malik Department of Electrical Engineering National Institute of TechnologyJamshedpur 831014India IEEE Department of Electrical and Software Engineering University of Calgary2500 University Drive NWCalgary Alberta T2N 1N4Canada

With the integration of distributed generation(DG) into a microgrid, fault detection has become a major task to accomplish. A scheme for microgrid feeder protection based on a newly proposed feature, ΔRP, defined as the ratio of the sum of positive-sequence real power(PSRP) at the two ends of the feeder to the larger of the PSRPs among the two ends, is proposed. If ΔRP is larger than a threshold, an internal fault is detected;otherwise, the fault is external or there is no fault. The proposed scheme is tested in various scenarios, including fault type, fault resistance, fault location, fault inception angle, varying DG penetration levels, and simultaneous, evolving, and composite faults. In addition to this, the proposed scheme offers a robust performance when subjected to noise, synchronization error, changes in sampling frequency, and changes in the topology of a microgrid. The dominancy of the proposed scheme is proven by a comprehensive comparative study with various available recent schemes. Test results on the IEEE 13-bus network indicate the viability of the proposed protection scheme for a microgrid. Finally, the proposed scheme has been validated on a real-time simulator.

关键词： Fault detection distributed generation microgrid protection superimposed power