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Particuology 2016年第6期14卷 143-153页

作者： amit Goel Anu Mittal S.S. Mallick Atul sharma Department of Mechanical Engineering Thapar University Patiala Punjab 147004 India

This paper presents the results of an ongoing investigation into transient pressure pulses using Shan- non entropy. Pressure fluctuations （produced by gas-solid two-phase flow during fluidized dense-phase conveying） are recorded by pressure transducers installed at strategic locations along a pipeline. This work validates previous work on identifying the flow mode from pressure signals （Mittal, Mallick, ＆ Wypych, 2014）. Two different powders, namely fly ash （median particle diameter 45 μm, particle den- sity 1950 kg/m3. loosely poured bulk density 950 kg/m3） and cement （median particle diameter 15 p,m, particle density 3060 kg/m3, loosely poured bulk density 1070 kg/m3）, are conveyed through different pipelines （51 mm I.D. × 70 m length and 63 mm I.D. × 24 m length）. The transient nature of pressure fluc- tuations （instead of steady-state behavior） is considered in investigating flow characteristics. Shannon entropy is found to increase along straight pipe sections for both solids and both pipelines. However, Shannon entropy decreases after a bend. A comparison of Shannon entropy among different ranges of superficial air velocity reveals that high Shannon entropy corresponds to very low velocities （i.e. 3-5 m/s） and very high velocities （i.e. 11-14 m/s） while low Shannon entropy corresponds to mid-range velocities （i.e. 6-8 m/s）.

关键词： Transient pressure fluctuations Fluidized dense phase Shannon entropy Flow pattern Solid loading ratio Superficial air velocity

Influence of tool rotation speeds on mechanical and morphological properties of friction stir processed nano hybrid composite of MWCNT-Graphene-AZ31 magnesium

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Journal of Magnesium and Alloys 2019年第3期7卷 487-500页

作者： Sanjay sharma amit Handa Sahib Sartaj Singh Deepak Verma I.K.Gujral punjab technical university kapurthalaIndia punjabi university patialaindia graphic era hill university dehradunindia

The ever-increasing demand for light weighted hard materials for transportation industries encouraged researchers to develop composites with excellent mechanical properties which can transform it into more economical and *** the metals with carbonaceous nanomaterials are progressively in focus due to their excellent capability to inculcate and tailor the properties of *** the present research,a hybrid nanocomposite of MWCNT-Graphene-AZ31 Mg alloy has been developed by using variable tool rotation speeds with friction stir processing(FSP).Optimized reinforcement ratio of 1.6%*** and 0.3%*** graphene have been used with variable tool rotation speeds,whereas other processing parameters are kept *** developed specimens were investigated using standard testing equipment for evaluating and comparing the mechanical properties on the basis of the microstructure of the processing regions and their morphological analysis,according to the ASTM *** obtained results revealed an improvement of 19.72%in microhardness and 77.5% of compressive strength in comparison with the base metal AZ 31 Magnesium alloy,with a tool rotational speed of *** values of tensile stress and percentage area reduction were recorded as less than that of the base metal matrix,but an increasing trend has been observed in the values of both with the improvement on rotational speeds of the *** effectual strengthening mechanisms are analyzed on the bases of SEM images and observed that discussed and found that grain refinement strengthening is the major contributor to the strength of the nanocomposite.

关键词： MMCs(Metal Matrix composites) Friction stir processing(FSP) Multi-walled carbon nanotubes(MWCCT) Graphene Nano Particular Stir Zone(SZ) Thermo-mechanically affected zone(TMAZ) Heat Affected Zone(HAZ)

Changes in organic structure and mineral phases transformation of coal during heat treatment on laboratory scale

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International Journal of Coal Science & Technology 2016年第4期3卷 418-428页

作者： Vivek Mishra Mamta sharma Sanchita Chakravarty amit Banerjee CSIR - National Metallurgical Laboratory Jamshedpur 831007 India

Structural changes due to coalification and oxidation influence the coal quality, geochemically and petrologically. Understanding of the coal structures helps to predict the behaviour of coal at various processes. The objective of this paper is to study the changes in organic structure and mineral phase transformation during combustion. Different density fractions were generated and then heated at different temperatures from 200 to 1000 ℃. Petrography, Fourier transform infrared spectroscopy （FTIR） and X-ray diffraction （XRD） were carried out on all the density fractions aimed to accomplish this objective. Here, through petrography, it was observed that the vitrinite and liptinite macerals disappear at higher temperature while porous inertinite is seen. The inertinite structure is exposed which is assumed by the presence of -OH and C-O-C stretches with the aromatic nucleus （CH） and three to four adjacent H from FTIR spectra. Moreover, it can be concluded that aliphatic groups get collapsed at high temperature. In case of inorganic matter, through XRD and FTIR, it is also revealed that with increasing temperature, clay minerals converted into elemental oxides. Hence, this study is suggesting that the structures of coal are altered by the degree of contact metamorphism.

关键词： Coal Heat treatment Oxidation Petrography FTIR XRD

Optimized ANN for LiFePO_(4) battery charge estimation using principal components based feature generation

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Green Energy and Intelligent Transportation 2024年第4期3卷 59-71页

作者： Chaitali Mehta amit V.Sant Paawan sharma Department of Computer Science and Engineering School of TechnologyPandit Deendayal Energy UniversityRaysanGandhinagar 382007India Department of Electrical Engineering School of Energy TechnologyPandit Deendayal Energy UniversityRaysanGandhinagar 382007India Department of Information and Communication Technology School of TechnologyPandit Deendayal Energy UniversityRaysanGandhinagar 382007India

Electric vehicles(EVs)have gained prominence in the present energy transition *** adoption of EVs necessitates an accurate State of Charge estimation(SoC)*** predictive SoC estimations with smart charging strategies not only optimizes charging efficiency and grid reliability but also extends battery lifespan while continuously enhancing the accuracy of SoC predictions,marking a crucial milestone in sustainable electric vehicle *** this research study,machine learning methods,particularly Artificial Neural Networks(ANN),are employed for SoC estimation of LiFePO4 batteries,resulting in efficient and accurate estimation *** investigation first focuses on developing a custom-designed battery pack with 12V,4 Ah capacity with a facility for real-time data collection through a dedicated hardware *** voltage,current and open-circuit voltage of the battery are monitored with computerized battery *** battery temperature is sensed with a DHT22 temperature sensor interfaced with Raspberry *** components are derived for the collected battery data set and analyzed for feature *** principal components were generated as input parameters for the developed *** Stopping for the ANN was also implemented to achieve faster convergence of the *** considering eleven combinations for ten different optimizers loss function is *** analysis of hyperparameter tuning and optimizer selection revealed that the Adafactor optimizer with specific settings produced the best results with an RMSE value of 0.4083 and an R2 Score of *** proposed algorithm was also implemented for two different types of datasets,a UDDS drive cycle and a standard cell-level *** results obtained were in line with the results obtained with the ANN model developed based on the data collected from the developed experimental setup.

关键词： Battery Feature engineering Principal component analysis Artificial neural networks Optimizers

Effect of heterogeneity and injection rates on the recovery of oil from conventional sand packs:A simulation approach

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Petroleum Research 2023年第1期8卷 96-102页

作者： Anurag Pandey Himanshu Kesarwani amit Saxena Reza Azin Shivanjali sharma Department of Petroleum Engineering and Geological Sciences Rajiv Gandhi Institute of Petroleum TechnologyIndia Department of Petroleum Engineering Faculty of PetroleumGas and Petrochemical EngineeringPersian Gulf UniversityBushehrIran

The study of flow through porous media has been of cardinal gravity in oil and gas applications like enhanced oil recovery(EOR),acidizing,fracturing,*** of the most anticipated apprehensions is that the core flooding and simulation have become prevalent to understand the flow through porous *** study aims at simulating and analyzing the effect of alkaline surfactant flooding through heterogeneous permeability conditions in the lab-scale *** conventional methods of core flood deal with the effective permeability of the system without considering the effect of heterogeneity within the *** heterogeneous studies are conducted by simulating a finely meshed 2-D axisymmetric model of the sand *** novel Karanj oil surfactant extracted from Pongamia Pinnata,and partially hydrolyzed polyacryl amide polymer are considered for the physicochemical properties of displacing fluid used in the *** heterogeneity combinations and displacing fluid injection flow rates are introduced for a single absolute permeability *** indicate a trend of oil recovery upright with increasing vertical permeability.A lower areal sweep efficiency and early breakthrough are observed in models with high horizontal ***,the effect of heterogeneity on oil recovery is reduced with the increase in injection flow rates of displacing *** present work utilizes computational fluid dynamics to model multiphase flow through a heterogeneous permeability media and its effect on oil recovery.

关键词： Karanj oil Simulation Enhanced oil recovery(EOR) Heterogenous permeability ASP Flooding

Leukocyte adhesion defect:Where do we stand circa 2019?

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Genes & Diseases 2020年第1期7卷 107-114页

作者： Jhumki Das Avinash sharma Ankur Jindal Vaishali Aggarwal amit Rawat Allergy Immunology Unit Department of PediatricsAdvanced Pediatrics CentrePostgraduate Institute of Medical Education and ResearchChandigarhIndia Department of Pediatrics Dr Rajendra Prasad Government Medical CollegeTandaKangraHimachal PradeshIndia

Migration of polymorphonuclear leukocytes from bloodstream to the site of inflammation is an important event required for surveillance of foreign *** trafficking of leukocytes from bloodstream to the tissue occurs in several distinct steps and involves several adhesion *** in adhesion of leukocytes to vascular endothelium affecting their subsequent migration to extravascular space gives rise to a group of rare primary immunodeficiency diseases(PIDs)known as Leukocyte Adhesion Defects(LAD).Till date,four classes of LAD are discovered with LAD I being the most common *** I is caused by loss of function of common chain,cluster of differentiation(CD)18 of β2 integrin *** patients suffer from life-threatening bacterial infections and in its severe form death usually occurs in childhood without bone marrow *** II results from a general defect in fucose *** patients suffer from less severe bacterial infections and have growth and mental *** blood group phenotype is also observed in these *** III is caused by abnormal integrin *** III patients suffer from severe bacterial and fungal *** frequently show delayed detachment of umbilical cord,impaired wound healing and increased tendency to *** IV is the most recently described *** is caused by defects in β2 and α4β1 integrins which impairs lymphocyte *** IV patients have monogenic defect in cystic-fibrosis-transmembraneconductance-regulator(CFTR)gene,resulting in cystic *** and genetic etiology of all LAD syndromes are discussed in detail in this paper.

关键词： Neutrophilic defect Neutrophilic leukocytosis Phagocyte rolling Phagocytes Primary immunodeficiency disorders

MRMR Based Feature Vector Design for Efficient Citrus Disease Detection

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Computers, Materials & Continua 2022年第9期72卷 4771-4787页

作者： Bobbinpreet Sultan Aljahdali Tripti sharma Bhawna Goyal Ayush Dogra Shubham Mahajan amit Kant Pandit Department of Electronics&Communication Engineering Chandigarh UniversityMohali140413India Department of Computer Science College of Computers and Information TechnologyTaif UniversityTaif21944Saudi Arabia Ronin Institute Mont ClairNJ07043USA School of Electronics&Communication Engineering Shri Mata Vaishno Devi UniversityKatra182320India

In recent times,the images and videos have emerged as one of the most important information source depicting the real time *** images nowadays serve as input for many applications and replacing the manual methods due to their capabilities of 3D scene representation in 2D *** capabilities of digital images along with utilization of machine learning methodologies are showing promising accuracies in many applications of prediction and pattern *** of the application fields pertains to detection of diseases occurring in the plants,which are destroying the widespread *** the disease detection process was done by a domain expert using manual examination and laboratory *** is a tedious and time consuming process and does not suffice the accuracy *** creates a room for the research in developing automation based methods where the images captured through sensors and cameras will be used for detection of disease and control its *** digital images captured from the field’s forms the dataset which trains the machine learning models to predict the nature of the *** accuracy of these models is greatly affected by the amount of noise and ailments present in the input images,appropriate segmentation methodology,feature vector development and the choice of machine learning *** ensure the high rated performance of the designed system the research is moving in a direction to fine tune each and every stage separately considering their dependencies on subsequent *** the most optimum solution can be obtained by considering the image processing methodologies for improving the quality of image and then applying statistical methods for feature extraction and *** training vector thus developed is capable of presenting the relationship between the feature values and the target *** this article,a highly accurate system model for detecting the diseases occurring in citrus fruits

关键词： Citrus diseases classification feature vector design plant disease detection redundancy reduction

Myocarditis in scrub typhus-An uncommon presentation

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Asian Pacific Journal of Tropical Medicine 2023年第11期16卷 524-526页

作者： Rajendra Prasad Bangam Rao Lalatendu Mohanty amit Jajodia Santosh sharma Department of Medicine Kalinga Institute of Medical Sciences(KIMS)BhubaneswarOdishaIndia

Scrub typhus is a disease caused by bacteria *** tsutsugamushi and spreads through bites of infected larval mites rapidly emerging particularly in Asia-Pacific countries[1].The disease became severe with organ involve... 详细信息

关键词： involvement encephalitis Myo

Secure Rotation Invariant Face Detection System for Authentication

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Computers, Materials & Continua 2022年第1期70卷 1955-1974页

作者： amit Verma Mohammed Baljon Shailendra Mishra Iqbaldeep Kaur Ritika Saini Sharad Saxena Sanjay Kumar sharma Department of Computer Science&Engineering Chandigarh Group of CollegesMohali140317India Department of Computer Engineering College of Computer&Information ScienceMajmaah University11952Saudi Arabia Department of Computer Science and Engineering Thapar Institute of Engineering&TechnologyPatiala147004India Department of Computer Centre&Campus Network Facility Science Complex PO Central UniversityGachibowliHyderabad500046TelanganaIndia

Biometric applications widely use the face as a component for recognition and automatic *** rotation is a variable component and makes face detection a complex and challenging task with varied angles and *** problem has been investigated,and a novice algorithm,namely RIFDS(Rotation Invariant Face Detection System),has been *** objective of the paper is to implement a robust method for face detection taken at various *** to achieve better results than known algorithms for face *** RIFDS Polar Harmonic Transforms(PHT)technique is combined with Multi-Block Local Binary Pattern(MBLBP)in a hybrid *** MBLBP is used to extract texture patterns from the digital image,and the PHT is used to manage invariant rotation *** this manner,RIFDS can detect human faces at different rotations and with different facial *** RIFDS performance is validated on different face databases like LFW,ORL,CMU,MIT-CBCL,JAFFF Face Databases,and Lena *** results show that the RIFDS algorithm can detect faces at varying angles and at different image resolutions and with an accuracy of 99.9%.The RIFDS algorithm outperforms previous methods like Viola-Jones,Multi-blockLocal Binary Pattern(MBLBP),and Polar HarmonicTransforms(PHTs).The RIFDS approach has a further scope with a genetic algorithm to detect faces(approximation)even from shadows.

关键词： Pose variations face detection frontal faces facial expressions emotions

Recent advances in chronic granulomatous disease

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Genes & Diseases 2020年第1期7卷 84-92页

作者： Gummadi Anjani Pandiarajan Vignesh Vibhu Joshi Jitendra Kumar Shandilya Dharmagat Bhattarai Jyoti sharma amit Rawat Allergy Immunology Unit Department of PediatricsAdvanced Pediatrics CentrePostgraduate Institute of Medical Education and ResearchChandigarhIndia

Chronic granulomatous disease(CGD)is an inherited defect of phagocyte function due to defective NADPH *** with CGD are not able to effectively clear the infections because of the defect in the phagocyte production of oxygen free radicals and are prone to recurrent bacterial and fungal *** complications are also noted in CGD such as colitis,non-infective granulomas causing gastrointestinal or urinary tract obstruction,hemophagocytic lymphohistiocytosis,and *** on toll-like receptor pathways and neutrophil extracellular traps in CGD have shed light on the role of NADPH oxidase in the innate immunity and pathogenesis of infections in *** reports also indicate a reduction of memory B cells and defective production of functional antibodies in *** the exact mechanisms for non-infective inflammatory complications in CGD are not yet clear,studies on efferocytosis and defective autophagy with inflammasome activation have made a substantial contribution to our understanding of the pathogenesis of inflammation in *** also discuss the clinical and molecular features of p40phox defects and a newer genetic defect,*** phenotypes of X-linked carriers of CYBB are also discussed.

关键词： Chronic granulomatous disease Colitis EROS Genetics Infections Inflammation p40phox