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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,etc.One of the most anticipated apprehensions is that the core flooding and simulation have become prevalent to understand the flow through porous media.This study aims at simulating and analyzing the effect of alkaline surfactant flooding through heterogeneous permeability conditions in the lab-scale methods.The conventional methods of core flood deal with the effective permeability of the system without considering the effect of heterogeneity within the core.The heterogeneous studies are conducted by simulating a finely meshed 2-D axisymmetric model of the sand pack.The 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 simulations.Different heterogeneity combinations and displacing fluid injection flow rates are introduced for a single absolute permeability system.Results 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 permeabilities.Further,the effect of heterogeneity on oil recovery is reduced with the increase in injection flow rates of displacing fluid.The 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

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Pancreatic Cancer Data Classification with Quantum Machine Learning

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Journal of Quantum Computing 2023年第1期5卷 1-13页

作者： amit saxena Smita saxena Centre for Development of Advanced Computing(C-DAC) Pune411008India Bioinformatics Centre Savitribai Phule Pune UniversityPune411007India

Quantum computing is a promising new approach to tackle the complex real-world computational problems by harnessing the power of quantum mechanics principles.The inherent parallelism and exponential computational power of quantum systems hold the potential to outpace classical counterparts in solving complex optimization problems,which are pervasive in machine learning.Quantum Support Vector Machine(QSVM)is a quantum machine learning algorithm inspired by classical Support Vector Machine(SVM)that exploits quantum parallelism to efficiently classify data points in high-dimensional feature spaces.We provide a comprehensive overview of the underlying principles of QSVM,elucidating how different quantum feature maps and quantum kernels enable the manipulation of quantum states to perform classification tasks.Through a comparative analysis,we reveal the quantum advantage achieved by these algorithms in terms of speedup and solution quality.As a case study,we explored the potential of quantum paradigms in the context of a real-world problem:classifying pancreatic cancer biomarker data.The Support Vector Classifier(SVC)algorithm was employed for the classical approach while the QSVM algorithm was executed on a quantum simulator provided by the Qiskit quantum computing framework.The classical approach as well as the quantum-based techniques reported similar accuracy.This uniformity suggests that these methods effectively captured similar underlying patterns in the dataset.Remarkably,quantum implementations exhibited substantially reduced execution times demonstrating the potential of quantum approaches in enhancing classification efficiency.This affirms the growing significance of quantum computing as a transformative tool for augmenting machine learning paradigms and also underscores the potency of quantum execution for computational acceleration.

关键词： Quantum computing quantum machine learning quantum support vector machine multiclass classification

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High Oxygen Nanocomposite Barrier Films Based on Xylan and Nanocrystalline Cellulose

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Nano-Micro Letters 2010年第4期2卷 235-241页

作者： amit saxena Thomas J.Elder Jeffrey Kenvin Arthur J.Ragauskas School of Chemistry and Biochemistry Georgia Institute of Technology USDA-Forest Service Southern Research Station Micromeritics Instrument Corporation

The goal of this work is to produce nanocomposite film with low oxygen permeability by casting an aqueous solution containing xylan,sorbitol and nanocrystalline cellulose.The morphology of the resulting nanocomposite films was examined by scanning electron microscopy and atomic force microscopy which showed that control films containing xylan and sorbitol had a more open structure as compared to xylan-sorbitol films containing sulfonated nanocrystalline cellulose.The average pore diameter,bulk density,porosity and tortuosity factor measurements of control xylan films and nanocomposite xylan films were examined by mercury intrusion porosimetry techniques.Xylan films reinforced with nanocrystalline cellulose were denser and exhibited higher tortuosity factor than the control xylan films.Control xylan films had average pore diameter,bulk density,porosity and tortuosity factor of 0.1730 μm,0.6165 g/ml,53.0161% and 1.258,respectively as compared to xylan films reinforced with 50% nanocrystalline cellulose with average pore diameter of 0.0581 μm,bulk density of 1.1513 g/ml,porosity of 22.8906% and tortuosity factor of 2.005.Oxygen transmission rate tests demonstrated that films prepared with xylan,sorbitol and 5%,10%,25% and 50% sulfonated nanocrystalline cellulose exhibited a significantly reduced oxygen permeability of 1.1387,1.0933,0.8986 and 0.1799 cm^3×μm/m^2×d×k Pa respectively with respect to films prepared solely from xylan and sorbitol with a oxygen permeability of 189.1665 cm^3×μm/m^2×d×k Pa.These properties suggested these nanocomposite films have promising barrier properties.

关键词： Nanocomposites Xylan Nanocrystalline cellulose Oxygen barrier

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Nested Levels of Hybrid Cryptographical Technique for Secure Information Exchange

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Journal of Computer and Communications 2024年第2期12卷 201-210页

作者： Pawan Kumar Vipin saxena Department of Computer Science Babasaheb Bhimrao Ambedkar University Lucknow India

Data security is a very important part of data transmission over insecure channels connected through high-speed networks. Due to COVID-19, the use of data transmission over insecure channels has increased in an exponential manner. Hybrid cryptography provides a better solution than a single type of cryptographical technique. In this paper, nested levels of hybrid cryptographical techniques are investigated with the help of Deoxyribonucleic Acid (DNA) and Paillier cryptographical techniques. In the first level, information will be encrypted by DNA and at the second level, the ciphertext of DNA will be encrypted by Paillier cryptography. At the decryption time, firstly Paillier cryptography will be processed, and then DAN cryptography will be processed to get the original text. The proposed algorithm follows the concept of Last Encryption First Decryption (LEFD) at the time of decryption. The computed results are depicted in terms of tables and graphs.

关键词： Encryption Decryption DNA Paillier Cryptography Nested Levels Hybrid Cryptography

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Software Defect Prediction Using Hybrid Machine Learning Techniques: A Comparative Study

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Journal of Software Engineering and Applications 2024年第4期17卷 155-171页

作者： Hemant Kumar Vipin saxena Department of Computer Science Babasaheb Bhimrao Ambedkar University Lucknow India

When a customer uses the software, then it is possible to occur defects that can be removed in the updated versions of the software. Hence, in the present work, a robust examination of cross-project software defect prediction is elaborated through an innovative hybrid machine learning framework. The proposed technique combines an advanced deep neural network architecture with ensemble models such as Support Vector Machine (SVM), Random Forest (RF), and XGBoost. The study evaluates the performance by considering multiple software projects like CM1, JM1, KC1, and PC1 using datasets from the PROMISE Software Engineering Repository. The three hybrid models that are compared are Hybrid Model-1 (SVM, RandomForest, XGBoost, Neural Network), Hybrid Model-2 (GradientBoosting, DecisionTree, LogisticRegression, Neural Network), and Hybrid Model-3 (KNeighbors, GaussianNB, Support Vector Classification (SVC), Neural Network), and the Hybrid Model 3 surpasses the others in terms of recall, F1-score, accuracy, ROC AUC, and precision. The presented work offers valuable insights into the effectiveness of hybrid techniques for cross-project defect prediction, providing a comparative perspective on early defect identification and mitigation strategies. .

关键词： Defect Prediction Hybrid Techniques Ensemble Models Machine Learning Neural Network

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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 detection.Face rotation is a variable component and makes face detection a complex and challenging task with varied angles and rotation.This problem has been investigated,and a novice algorithm,namely RIFDS(Rotation Invariant Face Detection System),has been devised.The objective of the paper is to implement a robust method for face detection taken at various angle.Further to achieve better results than known algorithms for face detection.In RIFDS Polar Harmonic Transforms(PHT)technique is combined with Multi-Block Local Binary Pattern(MBLBP)in a hybrid manner.The MBLBP is used to extract texture patterns from the digital image,and the PHT is used to manage invariant rotation characteristics.In this manner,RIFDS can detect human faces at different rotations and with different facial expressions.The RIFDS performance is validated on different face databases like LFW,ORL,CMU,MIT-CBCL,JAFFF Face Databases,and Lena images.The 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

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Investigation of 58Ni(n, p)58Co reaction cross-section with covariance analysis

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Chinese Physics C 2024年第2期48卷 78-90页

作者： Akash Hingu S.Mukherjee Siddharth Parashari Arora Sangeeta A.Gandhi Mahima Upadhyay Mahesh Choudhary Sumit Bamal Namrata Singh G.Mishra Sukanya De Saurav Sood Sajin Prasad G.saxena Ajay Kumar R.G.Thomas B.K.Agrawal K.Katovsky A.Kumar Department of Physics Faculty of ScienceThe M.S.University of BarodaVadodara 390002India Faculty of Electrical Engineering and Communication Brno University of TechnologyBrnoCzech Republic Department of Physics Faculty of ScienceUniversity of ZagrebBijenička c.32Zagreb 10000Croatia Department of Physics University Institute of SciencesChandigarh UniversityGharuanMohali 140413PunjabIndia Department of Physics Banaras Hindu UniversityVaranasi 221005India Horia Hulubei National Institute for Physics and Nuclear Engineering Măgurele 077125Romania Nuclear Physics Division Bhabha Atomic Research CentreMumbai 400085India Health Physics Division Bhabha Atomic Research CentreMumbai 400085India Department of Physics(H&S) Government Women Engineering CollegeAjmer 305002India Saha Institute of Nuclear Physics Kolkata 700064India Homi Bhabha National Institute Anushakti NagarMumbai 400094India

The excitation function of the 58Ni(n,p)58Co reaction was measured using the well-established neutron activation technique andγ-ray spectroscopy.Neutrons in the energy range of 1.7 to 2.7 MeV were generated using the 7Li(p,n)reaction.The neutron flux was measured using the standard 115In(n,n’)115mIn monitor reaction.The results of the neutron spectrum averaged cross-section of 58Ni(n,p)58Co reactions were compared with existing cross-section data available in the EXFOR data library as well as with various evaluated data libraries such as ENDF/B-VIII.0,JEFF-3.3,JENDL-4.0,and CENDL-3.2.Theoretical calculations were performed using the nuclear reaction code TALYS.Various nuclear level density(NLD)models were tested,and their results were compared with the present findings.Realistic NLDs were also obtained through the spectral distribution method(SDM).The cross-section results,along with the absolute errors,were obtained by investigating the uncertainty propagation and using the covariance technique.Corrections forγ-ray true coincidence summing,low-energy background neutrons,andγ-ray self attenuation were performed.The experimental cross-section obtained in the present study is consistent with previously published experimental data,evaluated libraries,and theoretical calculations carried out using the TALYS code.

关键词： nuclear reactions (n,p)reaction cross-section measurement covariance analysis nuclear level density

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Grid Tied Solar PV System with Power Quality Enhancement Using Adaptive Generalized Maximum Versoria Criterion

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CSEE Journal of Power and Energy Systems 2023年第2期9卷 722-732页

作者： Manoj Badoni Alka Singh Ankit Kumar Singh Hemant saxena Rajeev Kumar Delhi Technological University Delhi 110042India.A.K.Singh is with Netaji Subhas University of TechnologyDelhi 110078India Netaji Subhas University of Technology Delhi 110078India Electrical and Electronics Engineering Department KIET Group of InstitutionsGhaziabadIndia Electrical Engineering Department Jamia Millia IslamiaNew DelhiIndia

A three phase grid tied solar photovoltaic(PV)system with power quality compensation features is presented in this paper.This system is used to transfer power generated from a solar PV array to feed linear and nonlinear loads along with compensation for several power quality(PQ)issues,such as harmonics,redundant reactive power and load unbalancing.The generated DC power from the PV array is converted into AC by implementing a three-phase voltage source converter(VSC).In order to transfer active power and mitigate PQ problems,an efficient control technique is required for the grid tied solar PV system.This study presents the use of an adaptive generalized maximum Versoria criterion(AGMVC)controller for VSC used in a solar PV energy conversion system.Efficient utilization of the solar PV array is accomplished by using the Perturb and Observe based maximum power point tracking(MPPT)algorithm.The experimental setup of the grid integrated PV system is implemented in the laboratory using an IGBT based VSC and DSP(dSPACE DS-1202).The performance of the AGMVC control technique is verified experimentally using laboratory prototype.This control technique is compared with different conventional controllers,such as synchronous reference frame theory(SRFT)and instantaneous reactive power theory(IRPT)along with recently developed weight-based controllers viz.,least mean square(LMS),least mean mixed norm(LMMN)and normalized kernel least mean fourth-neural network(NKLMFNN).Numerous terms,such as fundamental weight convergence,steady state error,computational complexity,phase lock loop(PLL)requirement and harmonic compensation capability,are considered for comparison purposes of AGMVC with the above listed control techniques.The system performance is verified according to the IEEE-519 standard.

关键词： Harmonics maximum versoria criterion power factor corection(PFC) solar photovoltaic

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Thermodynamic Performance Analysis of a Low-Cost,Recycled and Energy-Efficient Solar Air Heater with Waste Beverage Cans:An Experimental Research

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Journal of Thermal Science 2023年第4期32卷 1657-1670页

作者： Pinar Mert CUCE Abhishek saxena Erdem CUCE Yusuf Nadir YILMAZ Saboor SHAIK GUO Shaopeng Department of Architecture Faculty of Engineering and ArchitectureRecep Tayyip Erdogan UniversityZihni Derin CampusRize53100Turkey Pinar Mert Cuce Low/Zero Carbon Energy Technologies Laboratory Faculty of Engineering and ArchitectureRecep Tayyip Erdogan UniversityZihni Derin CampusRize53100Turkey Mechanical Engineering Department School of EngineeringDev Bhoomi Uttarakhand UniversityDehradunIndia Solar Energy Research Lab PandharpurMaharashtraIndia Department of Mechanical Engineering Faculty of Engineering and ArchitectureRecep Tayyip Erdogan UniversityZihni Derin CampusRize53100Turkey School of Mechanical Engineering Vellore Institute of Technology VelloreVelloreTamil Nadu632014India School of Energy and Environment Inner Mongolia University of Science and TechnologyBaotou014010China

Solar air heaters are at the centre of interest owing to their widespread use for various purposes.In the study,thermal performance analysis of a solar air heater that can be easily produced from daily waste materials is done.The system has a low-cost structure with both waste material use and a simple design.The proposed system is tested under different climatic conditions,and the energetic and the exergetic performance figures are obtained for the first time in literature.It is observed from the experimental tests that the results are stable and coherent as well as in good accordance with the similar attempts in literature with some cost reductions and performance improvements.Thermodynamic performance analyses indicate that the maximum energy efficiency of the system is about 21%,whereas the exergy efficiency is 1.8%.The energetic and exergetic outputs of the system are also determined to be 27 W and 3 W,respectively,which is promising.

关键词： solar air heaters absorber design waste beverage cans energy and exergy efficiency

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Heart rate response and recovery during exercise predict future delirium risk——A prospective cohort study in middle-to older-aged adults

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Journal of Sport and Health Science 2023年第3期12卷 312-323页

作者： Lei Gao Aden Gaba Peng Li Richa saxena Frank A.J.LScheer Oluwaseun Akeju Martin K.Rutter Kun Hu Department of Anesthesia Critical Care and Pain MedicineMassachusetts General HospitalHarvard Medical SchoolBostonMA 02114USA Medical Biodynamics Program Brigham and Women's HospitalBostonMA 02115USA Division of Sleep Medicine Harvard Medical SchoolBostonMA 02115USA Broad Institute of Massachusetts Institute of Technology and Harvard CambridgeMA 02142USA Center for Genomic Medicine Massachusetts General HospitalBostonMA 02114USA Division of Diabetes Endocrinology and GastroenterologySchool of Medical SciencesFaculty of BiologyMedicine and HealthManchester Academic Health Science CentreUniversity of ManchesterManchester M139PLUK Diabetes Endocrinology and Metabolism CentreManchester University National Health Service Foundation TrustManchester M139WLUK

Background:Delirium is a neurocognitive disorder characterized by an abrupt decline in attention,awareness,and cognition after surgical/illness-induced stressors on the brain.There is now an increasing focus on how cardiovascular health interacts with neurocognitive disorders given their overlapping risk factors and links to subsequent dementia and mortality.One common indicator for cardiovascular health is the heart rate response/recovery(HRR)to exercise,but how this relates to future delirium is unknown.Methods:Electrocardiogram data were examined in 38,740 middle-to older-aged UK Biobank participants(mean age=58.1 years,range:40-72 years;47.3%males)who completed a standardized submaximal exercise stress test(15-s baseline,6-min exercise,and 1-min recovery)and required hospitalization during follow-up.An HRR index was derived as the product of the heart rate(HR)responses during exercise(peak/resting HRs)and recovery(peak/recovery HRs)and categorized into low/average/high groups as the bottom quartile/middle 2 quartiles/top quartile,respectively.Associations between 3 HRR groups and new-onset delirium were investigated using Cox proportional hazards models and a2-year landmark analysis to minimize reverse causation.Sociodemographic factors,lifestyle factors/physical activity,cardiovascular risk,comorbidities,cognition,and maximal workload achieved were included as covariates.Results:During a median follow-up period of 11 years,348 participants(9/1000)newly developed delirium.Compared with the high HRR group(16/1000),the risk for delirium was almost doubled in those with low HRR(hazard ratio=1.90,95%)confidence interval(95%CI):1.30-2.79,p=0.001)and average HRR(hazard ratio=1.54,95%CI:1.07-2.22,p=0.020)).Low HRR was equivalent to being 6 years older,a current smoker,or>3 additional cardiovascular disease risks.Results were robust in sensitivity analysis,but the risk appeared larger in those with better cognition and when only postoperative delirium was considered(n=147;hazard ratio=2.66,95%CI:1.46-4.85,p=0.001).Co

关键词： Brain health Delirium Exercise stress test UK Biobank

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