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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

Investigation of proton structure function F_(2)^(p)at HERA in light of an analytical solution to the Balitsky–Kovchegov equation

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Communications in Theoretical Physics 2024年第3期76卷 120-126页

作者： ranjan Saikia Pragyan Phukan Jayanta kumar Sarma HEP laboratory Department of PhysicsTezpur UniversityTezpurAssam-784028India Department of Physics Moran CollegeMoranhatAssam-785670India

In this paper,the proton structure function F_(2)^(p)(x,Q^(2))at small-x is investigated using an analytical solution to the Balitsky–Kovchegov(BK)*** the context of the color dipole description of deep inelastic scattering(DIS),the structure function F_(2)^(p)(x,Q^(2))is computed by applying the analytical expression for the scattering amplitude N(k,Y)derived from the BK *** transverse momentum k and total rapidity Y,the scattering amplitude N(k,Y)represents the propagation of the quark-antiquark dipole in the color dipole description of *** the BK solution we extracted the integrated gluon density xg(x,Q^(2))and then compared our theoretical estimation with the LHAPDF global data fits,NNPDF3.1sx and ***,we have investigated the behavior of F_(2)^(p)(x,Q^(2))in the kinematic region of 10^(-5)≤x≤10^(-2)and 2.5 GeV^(2)≤Q^(2)≤60 GeV^(2).Our predicted results for F_(2)^(p)(x,Q^(2))within the specified kinematic region are in good agreement with the recent high-precision data for F_(2)^(p)(x,Q^(2))from HERA(H1 Collaboration)and the LHAPDF global parametrization group NNPDF3.1sx.

关键词： quantum chromodynamics(QCD) perturbative QCD(pQCD) proton structure function small-x Balitsky-Kovchegov equation

Effects of cartilaginous rings on airflow and particle transport through simplified and realistic models of human upper respiratory tracts

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Acta Mechanica Sinica 2013年第6期29卷 883-892页

作者： Vivek kumar Srivastav Akshoy ranjan Paul Anuj Jain Department of Applied Mechanics Motilal Nehru National Institute of Technology

In the present study, computational fluid dynamics （CFD） is used to investigate inspiratory and expiratory airflow characteristics in the human upper respiratory tract for the purpose of identifying the probable locations of particle deposition and the wall injury. Computed tomography （CT） scan data was used to reconstruct a three dimensional respiratory tract from trachea to first generation bronchi. To compare, a simplified model of respiratory tract based on Weibel was also used in the study. The steady state results are obtained for an airflow rate of 45 L/min, corresponding to the heavy breathing condition. The velocity distribution, wall shear stress, static pressure and particle deposition are compared for inspiratory flows in simplified and realistic models and expiratory flows in realistic model only. The results show that the location of cartilaginous rings is susceptible to wall injury and local particle deposition.

关键词： Upper respiratory tract Cartilaginous rings Computational fluid dynamics (CFD) Computed tomogra- phy (CT) Wall shear stress Particle deposition.

Prediction of bearing capacity of pile foundation using deep learning approaches

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Frontiers of Structural and Civil Engineering 2024年第6期18卷 870-886页

作者： Manish kumar Divesh ranjan kumar Jitendra KHATTI Pijush SAMUI Kamaldeep Singh GROVER Department of Civil Engineering SRM Institute of Science and Technology Tiruchirappalli CampusTrichy 621105India Department of Civil Engineering National Institute of Technology PatnaBihar 800005India Department of Civil Engineering Faculty of EngineeringThammasat School of EngineeringThammasat UniversityBangkok10200Thailand Department of Civil Engineering Rajasthan Technical UniversityKota 324010India

The accurate prediction of bearing capacity is crucial in ensuring the structural integrity and safety of pile *** research compares the Deep Neural Networks(DNN),Convolutional Neural Networks(CNN),Recurrent Neural Networks(RNN),Long Short-Term Memory(LSTM),and Bidirectional LSTM(BiLSTM)algorithms utilizing a data set of 257 dynamic pile load tests for the first ***,this research illustrates the multicollinearity effect on DNN,CNN,RNN,LSTM,and BiLSTM models’performance and accuracy for the first time.A comprehensive comparative analysis is conducted,employing various statistical performance parameters,rank analysis,and error matrix to evaluate the performance of these *** performance is further validated using external validation,and visual interpretation is provided using the regression error characteristics(REC)curve and Taylor *** from the comparative analysis reveal that the DNN(Coefficient of determination(R^(2))_(training(TR))=0.97,root mean squared error(RMSE)_(TR)=0.0413;R^(2)_(testing(TS))=0.9,RMSE_(TS)=0.08)followed by BiLSTM(R^(2)_(TR)=0.91,RMSE_(TR)=0.782;R^(2)_(TS)=0.89,RMSE_(TS)=0.0862)model demonstrates the highest performance *** is noted that the BiLSTM model is better than LSTM because the BiLSTM model,which increases the amount of information for the network,is a sequence processing model made up of two LSTMs,one of which takes the input in a forward manner,and the other in a backward *** prediction of pile-bearing capacity is strongly influenced by ram weight(having a considerable multicollinearity level),and the effect of the considerable multicollinearity level has been determined for the model based on the recurrent neural network *** this study,the recurrent neural network model has the least performance and accuracy in predicting the pile-bearing capacity.

关键词： deep learning algorithms high-strain dynamic pile test bearing capacity of the pile

User behaviour analysis using data analytics and machine learning to predict malicious user versus legitimate user

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High-Confidence Computing 2022年第1期2卷 9-18页

作者： Rohit ranjan Shashi Shekhar kumar Thapar Institute of Engineering and Technology Thapar UniversityPatialaIndia Indian Institute of Information Technology Allahabad IIIT AllahabadPrayarajIndia

Research-based on user behavior analysis for authentication is the motivation for this *** move ahead using a behavioral approach to identify malicious users and legitimate *** this paper,we have explained how we have applied big data analytics to application-layer logs and predicted malicious users by employing a Machine Learning algorithm based on certain metrics explained later in the *** Learning would present a list of IP addresses or user identification tokens(UIT),deduced from live data which would be performing a malicious activity or are suspected of malicious activity based on their browsing *** have created an e-commerce web application and induced vulnerabilities intentionally for this *** have hosted our setup on LAMP[1]stack based on AWS cloud[2].This method has a huge potential as any organization can imply this to monitor probable attackers thus narrowing down on their efforts to safeguard their *** idea is based on the fact that the browsing pattern,as well as the access pattern of a genuine user,varies widely with that of a *** patterns would be used to sort out the incoming traffic from and list out IP addresses and UIT that are the most probable cases of hack attempts.

关键词： Application security Big data analytics Machine learning Random forest Behavioral analysis Prediction

Hybrid IWD-DE:A Novel Approach to Model Cooperative Navigation Planning for Multi-robot in Unknown Dynamic Environment

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Journal of Bionic Engineering 2019年第2期16卷 235-252页

作者： Degal Chandrasekhar Rao Manas ranjan Kabat Pradipta kumar Das Prabir kumar Jena Department of Information Technology VSSUTBurlaOdisha 768018India Department of Computer Science&Engineerings VSSUT、Burla Odisha 76801&India Department of Mechanical Engineering VSSUTBurlaOdisha 76801&India

The current study emphasizes inadequacies of earlier research findings on multi-robot navigation and offers a robust approach to guide the robots in an unknown dynamic *** attain the objective,the Intelligent Water Drop(IWD)algorithm is combined with Differential Evolution(DE)in a new conceptual fashion to optimize the navigation path of multiple mobile *** hybrid IWD-DE,basic IWD and DE algorithms are then explored for multi-robot navigation in a dynamic workspace through *** simulation outcomes demonstrate the competency of the proposed method to guide the robot in predicting the nature of the obstacle and to generate an optimal and safe trajectory in a dynamic *** potency of the proposed algorithm is further validated through experimentation with fire bird robot in a real *** outcomes of the simulation and experimentation,by employing IWD-DE algorithm are compared with those of basic IWD and DE *** error estimated for Average Navigation Path Travelled(ANPT),Aggregate Navigation Path Deviation(ANPD)and number of turns between simulation and experimental results by employing IWD-DE is 8.96,9.09,and 11.13,respectively while reaching 16.43,28.61,29.15 for IWD,and 6.66,10.20,14.28 for *** efficiency of the proposed approach is further verified with the state-of-the-art in a dynamic *** outcomes reveal the efficiency and flexibility of the proposed approach in resolving the multi-robot navigation problem as compared to the state-of-the-art in a dynamic workspace.

关键词： multi-robot dynamic environment intelligent water drop differential evolution navigation planning waypoints fire bird robot

Has expansion of mobile phone and internet use spurred financial inclusion in the SAARC countries?

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Financial Innovation 2018年第1期4卷 89-107页

作者： Sanjaya kumar Lenka Rajesh barik Consumer Unity&Trust Society(CUTS)International(a global independent non-profit economic policy research and advocacy organization) D-217Bhaskar MargBani ParkJaipurRajasthan-302016India School of Humanities and Social Sciences Indian Institute of TechnologySimrol CampusKhandwa RoadIndore 453552India.

Exclusion from the mainstream financial world is a burden on the poor of many *** proliferation of new mobile and online financial services,such as e-banking,money transfers,and payment processing has the potential to provide access to basic financial products and services to financially excluded *** purpose of this study was to investigate the effects of the growth of mobile phone and Internet use on financial inclusion in the South Asian Association for Regional Cooperation(SAARC)countries from 2004 to *** applied principal component analysis to construct a financial inclusion index that served as a proxy variable for the accessibility of financial services in the SAARC *** three different models-the fixed effect,random effect,and panel correction standard errors modelsthis study discovered a positive and significant relationship between the growth of financial inclusion and expansion of both mobile phone and Internet ***,an empirical study of the control variables showed that the levels of income and education were positively associated with financial inclusion,whereas the size of the rural population and unemployment were negatively related to financial *** addition,the empirical estimates posit a unidirectional causal flow from the growth of mobile and Internet services to expanded financial inclusion in the SAARC countries.

关键词： Financial inclusion Fixed effect Random effect Panel corrected standard errors SAARC

Exploring the potential of artificial intelligence techniques in prediction of the removal efficiency of vortex tube silt ejector

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International Journal of Sediment Research 2023年第4期38卷 615-627页

作者： Sanjeev kumar Chandra Shekhar Prasad Ojha Nand kumar Tiwari Subodh ranjan Department of Civil Engineering Indian Institute of Technology Department of Civil Engineering National Institute of Technology

A vortex tube silt ejector is a curative hydraulic structure used to remove sediment deposits from canals and is recognized as one of the most efficient substitutes for physically removing canal sediment. The spatially varied flow in the channel and the rotational flow behavior in the tube make the silt removal process complex. It is even harder to accurately predict the silt removal efficiency by traditional models accurately. However, artificial intelligence(AI) and machine learning approaches have emerged as robust substitutes for studying complex processes. Therefore, this research makes use of AI approaches; support vector machine(SVM), random forest(RF), random tree(RT), and multivariate adaptive regression spline(MARS) to compute the vortex tube silt ejection efficiency using the laboratory data sets. The outcomes of the artificial intelligence(AI)-based techniques also were compared with traditional models. It was found that the RT model(root mean square error, RMSE = 2.165, Nash Sutcliffe efficiency, NSE = 0.98) outperforms the other applied approaches which had relatively more significant result errors. The sensitivity analysis of the process depicts the extraction ratio as the key parameter in the computation of vortex tube silt ejector removal efficiency. The findings of the AI-based approaches discussed in the current study might be helpful for hydraulic engineers as well as researchers in the assessment of the removal efficiency of vortex tube silt ejectors.

关键词： Vortex tube silt ejector Support vector machine Random forest Random tree Multivariate adaptive regression spline

An improved reverse time migration for subsurface imaging over complex geological structures:A numerical study

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Energy Geoscience

Energy Geoscience 2024年第2期5卷 290-297页

作者： Alok kumar Routa Priya ranjan Monahty Department of Applied Geophysics IIT(ISM)DhanbadJharkhandIndia

In seismic exploration,it is a critical task to image and interpret different seismic signatures over complex geology due to strong lateral velocity contrast,steep reflectors,overburden strata and dipping *** understand the behavior of these seismic signatures,nowadays Reverse Time Migration(RTM)technique is used extensively by the oil&gas *** the extrapolation phase of RTM,the source wavefield needs to be saved,which needs high storage memory and large computing *** two are the main obstacles of RTM for production *** order to overcome these disadvantages,in this study,a second-generation improved RTM technique is *** this improved form,a shift operator is introduced at the time of imaging condition of RTM algorithm which is performed automatically both in space and time *** effort is made to produce a better-quality image by minimizing the computational time as well as numerical *** proposed method is applied over various benchmark models and validated by implementing over one field data set from the Jaisalmer Basin,*** the analysis,it is observed that the method consumes a minimum of 45%less storage space and reduce the execution time by 20%,as compared to conventional *** proposed RTM is found to work efficiently in comparison to the conventional RTM both in terms of imaging quality and minimization of numerical artefacts for all the benchmark models as well as field data.

关键词： Imaging condition Reverse time migration(RTM) Seismic imaging Velocity-depth model Wave propagation

A review on recent advancements in biodegradable Mg-Ca alloys

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Journal of Magnesium and Alloys 2022年第8期10卷 2094-2117页

作者： Manas ranjan Sahu T.S.Sampath kumar Uday Chakkingal Department of Metallurgical and Materials Engineering Indian Institute of Technology MadrasChennai 600036India

The binary Mg-Ca alloys are drawing increasing attention as temporary implant materials because of their excellent biocompatibility,biodegradability, and good mechanical properties. However, their applications are limited due to their high degradation rates in the human physiological environment, the consequent release of hydrogen gas, and rapid loss in mechanical properties. Furthermore, biocompatibility depends upon the degradability of the material. Various researchers have demonstrated that these issues can be addressed by control of Ca content, thermo-mechanical processing to obtain suitable microstructures, deposition of surface coatings, etc. In this manuscript, a detailed review of published literature on Mg-Ca alloys is presented. The challenges and future directions of research in this area are also described.

关键词： Mg-Ca alloy Degradation Temporary implant Biocompatibility