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Determination of blast-induced ground vibration equations for rocks using mechanical and geological properties

Journal of Rock Mechanics and Geotechnical Engineering 2016年第3期8卷 341-349页

作者： ranjan kumar Deepankar Choudhury Kapilesh Bhargava Department of Civil Engineering Indian Institute of Technology BombayPowaiMumbai 400076India Civil Engineering Division Bhabha Atomic Research CentreMumbai 400085India Academy of Scientific and Innovative Research(AcSIR) New DelhiIndia Nuclear Recycle Board Bhabha Atomic Research CentreMumbai 400085India Homi Bhabha National Institute MumbaiIndia

In the recent decades, effects of blast loads on natural and man-made structures have gained considerable attention due to increase in threat from various man-made activities. Site-specific empirical relationships for calculation of blast-induced vibration parameters like peak particle velocity （PPV） and peak particle displacement （PPD） are commonly used for estimation of blast loads in design. However, these relation- ships are not able to consider the variation in rock parameters and uncertainty of in situ conditions. In this paper, a total of 1089 published blast data of various researchers in different rock sites have been collected and used to propose generalized empirical model for PPV by considering the effects of rock parameters like unit weight, rock quality designation （ROD）, geological strength index （GSI）, and uniaxial compressive strength （UCS）. The proposed PPV model has a good correlation coefficient and hence it can be directly used in prediction of blast-induced vibrations in rocks. Standard errors and coefficient of correlations of the predicted blast-induced vibration parameters are obtained with respect to the observed field data. The proposed empirical model for PPV has also been compared with the empirical models available for blast vibrations predictions given by other researchers and found to be in good agreement with specific cases.

关键词： Blast loadsEmpirical equationsRock quality designation (RQD)Unit weightPeak particle velocity (PPV)Uniaxial compressive strength (UCS)Geological strength index (GSI)

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A review on dump slope stabilization by revegetation with reference to indigenous plant

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Ecological Processes 2015年第1期4卷 154-164页

作者： Vibhash ranjan Phalguni Sen Dheeraj kumar Arjun Sarsawat Thakurani Iron Ore Mines of M/s Sarda Mines(P)Limited SoyabaliBarbilKeonjharOdishaIndia Department of Mining Engineering Indian School of MinesDhanbad 826004India.

The waste,subgrade ROM and fine dumps of iron ore mines are characterized by high rock fragment contents,low moisture retention capacity,higher bulk density,low nutrients,lower pH and elevated metal *** of suitable revegetation programme,that require the selection of right type of plants to be used vis-à-vis the site condition and characteristics,can enhance the long-term stability,both mechanical and ecological,of dumps(waste,subgrade ROM and fines)through providing vegetative cover to control soil erosion and gully formation,consolidation of dump top and side surfaces,binding the loose particles through intricate roof system,*** paper overviews the roles of revegetation programme that can be used where vegetation is considered to be the long-term answer to slope protection and erosion *** revegetation processes like Coir matting,lemon grass,vetiver grass and indigenous plant may find a wide range of usage in iron ore mines for dump *** Miyawaki method of plantation is more effective than the conventional method of *** will lead to co-existence of plants,and as a matter of fact each plant draws from the other vital nutrients and they grow to become strong and *** Miyawaki plantation technique aims at“survival of the fittest”,and the area which undergone such plantation has an ecology of their *** indigenous plant has good binding capacity and helps to control soil erosion as well as improve the dump *** indigenous plant species include Shorea robusta(Sal),Dalbergia sisoo(Shisham),Karanj and Azadirachta(Neem).The growth of indigenous plants is dependent upon the soil quality as well as the organic matter of the dump *** leaf debris plays an important role for improving the organic matter of the dump material to successfully implement the revegetation programme.

关键词： Revegetation Coir mat Vetiver grass Lemon grass Indigenous plant Selection of plant species

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Application of quasi-oppositional symbiotic organisms search based extreme learning machine for stock market prediction

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International Journal of Intelligent Computing and Cybernetics 2019年第2期12卷 175-193页

作者： Smita Rath Binod kumar Sahu Manoj ranjan Nayak Institute of Technical Education and Research Siksha O Anusandhan UniversityBhubaneswarIndia

Purpose–Forecasting of stock indices is a challenging issue because stock data are dynamic,non-linear and uncertain in *** of an accurate forecasting model is very much essential to predict the next-day closing prices of the stock *** purpose of this paper is to develop an efficient and accurate forecasting model to predict the next-day closing prices of seven stock ***/methodology/approach–A novel strategy called quasi-oppositional symbiotic organisms search-based extreme learning machine(QSOS-ELM)is proposed to forecast the next-day closing prices *** in the prediction of closing price depends on output weights which are dependent on input weights and *** paper mainly deals with the optimal design of input weights and biases of the ELM prediction model using QSOS and SOS optimization ***–Simulation is carried out on seven stock indices,and performance analysis of QSOS-ELM and SOS-ELM prediction models is done by taking various statistical measures such as mean square error,mean absolute percentage error,accuracy and paired sample *** performance analysis reveals that the QSOS-ELM model outperforms the SOS-ELM model in predicting the next-day closing prices more accurately for all the seven stock indices under ***/value–The QSOS-ELM prediction model and SOS-ELM are developed for the first time to predict the next-day closing prices of various stock *** paired t-test is also carried out for the first time in literature to hypothetically prove that there is a zero mean difference between the predicted and actual closing prices.

关键词： Extreme learning machine Symbiotic organisms search Quasi-oppositional-based learning,Paired sample t-test

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Neurological manifestations of hepatitis E virus infection:An overview

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World Journal of Gastroenterology 2021年第18期27卷 2090-2104页

作者： Ashish kumar Jha Gaurav kumar Vishwa Mohan Dayal Abhay ranjan Arya Suchismita Department of Gastroenterology Indira Gandhi Institute of Medical SciencesPatna 800014India Department of Neurology Indira Gandhi Institute of Medical SciencesPatna 800014India Department of Pediatric Hepatology Institute of Liver and Biliary SciencesBasant Kunj 110070New DelhiIndia

Hepatitis E virus(HEV)is an important cause of repeated waterborne outbreaks of acute ***,several extrahepatic manifestations(EHMs)have been described in patients with HEV *** these,neurological disorders are the most common EHM associated with *** involvement of both the peripheral nervous system and central nervous system can occur together or in *** can present with normal liver function tests,which can often be misleading for *** is a paucity of data on HEV-related neurological manifestations;and these data are mostly described as case reports and case *** this review,we analyzed data of 163 reported cases of HEV-related neurological *** mechanisms of pathogenesis,clinico-demographic profile,and outcomes of the HEV-related neurological disorders are described in this *** root and plexus disorder were found to be the most commonly reported disease,followed by meningoencephalitis.

关键词： Hepatitis E virus Acute hepatitis E Extrahepatic manifestations Neurological manifestations Neuralgic amyotrophy Guillain-Barrésyndrome

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Nuclei Segmentation in Histopathology Images Using Structure-Preserving Color Normalization Based Ensemble Deep Learning Frameworks

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Computers, Materials & Continua 2023年第12期77卷 3077-3094页

作者： Manas ranjan Prusty Rishi Dinesh Hariket Sukesh kumar Sheth Alapati Lakshmi Viswanath Sandeep kumar Satapathy Centre for Cyber-Physical Systems Vellore Institute of TechnologyChennai600127India School of Computer Science and Engineering Vellore Institute of TechnologyChennai600127India Centre for Advanced Data Science Vellore Institute of TechnologyChennai600127India

This paper presents a novel computerized technique for the segmentation of nuclei in hematoxylin and eosin(H&E)stained histopathology *** purpose of this study is to overcome the challenges faced in automated nuclei segmentation due to the diversity of nuclei structures that arise from differences in tissue types and staining protocols,as well as the segmentation of variable-sized and overlapping *** this extent,the approach proposed in this study uses an ensemble of the UNet architecture with various Convolutional Neural Networks(CNN)architectures as encoder backbones,along with stain normalization and test time augmentation,to improve segmentation ***,this paper employs a Structure-Preserving Color Normalization(SPCN)technique as a preprocessing step for stain *** proposed model was trained and tested on both single-organ and multi-organ datasets,yielding an F1 score of 84.11%,mean Intersection over Union(IoU)of 81.67%,dice score of 84.11%,accuracy of 92.58%and precision of 83.78%on the multi-organ dataset,and an F1 score of 87.04%,mean IoU of 86.66%,dice score of 87.04%,accuracy of 96.69%and precision of 87.57%on the single-organ *** findings demonstrate that the proposed model ensemble coupled with the right pre-processing and post-processing techniques enhances nuclei segmentation capabilities.

关键词： Nuclei segmentation image segmentation ensemble U-Net deep learning histopathology image convolutional neural networks

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Tailoring of electrical properties of BiFeO_(3) by praseodymium

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Journal of Advanced Ceramics 2013年第3期2卷 235-241页

作者： Samita PATTANAYAK Ashwasa PRIYADARSHAN Ritesh SUBUDHI ranjan kumar NAYAK Rajib PADHEE Department of Physics Institute of Technical Education&ResearchSiksha‘O’Anusandhan UniversityBhubaneswar 751030India

The polycrystalline samples of Bi_(1-x)Pr_(x)FeO_(3)(x=0 and 0.1)were prepared by a solid-state reaction *** X-ray structural analysis has confirmed the formation of a single-phase *** of dielectric and impedance spectroscopy of the materials,carried out in wide frequency(1 kHz-1 MHz)and temperature(25-400℃)ranges,have provided many interesting results including significant decrement in tangent loss,structural stability,obeying Jonscher’s universal power law,etc.

关键词： ceramics impedance spectroscopy electrical conductivity

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Morphological Changes During Annealing of Electrodeposited Ni-Cr Coating on Steel and Their Effect on Corrosion in 3% of NaCl Solution

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Journal of Iron and Steel Research International 2011年第3期18卷 72-78页

作者： Manpreet Singh Marwah Vajjala Srinivas Ajoy kumar Pandey Shyam ranjan kumar Koushik Biswas Joydeep Maity Material Engineering Division(Quality Assurance) Tata Motors Limited Materials Engineering Department Ashok Leyland Technical Center Department of Metallurgical and Materials Engineering Indian Institute of Technology Department of Applied Science National Institute of Foundry and Forge Technology Department of Metallurgical and Materials Engineering National Institute of Technology

Steel containing carbon of 0.2% was coated with Ni and Cr through electrodeposition,and subsequently annealed at 400 and 600 ℃ for 5 min,30 min,1 h and 2 *** annealing at 400 ℃,the formation and growth of oxides occurred in the form of petals along with voids,cracks and ***,at 600 ℃,the nucleation and growth of chromium oxide whiskers produced a surface almost free from crack,porosity and void for 1 h and 2 h of *** accordance with the surface morphology,the bare steel,as-deposited steel,all specimens deposited and annealed at 400 ℃,and specimens deposited and annealed at 600 ℃ for 5 and 30 min exhibited continuous corrosion in 3% of NaCl ***,the specimens deposited and annealed at 600 ℃ for 1 and 2 h exhibited an improved corrosion resistance in 3% of NaCl solution with high pitting potential due to presence of a dense passive oxide film almost free from voids at the surface.

关键词： steel electrodeposition annealing corrosion resistance

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Machine Learning-based Inverse Model for Few-Mode Fiber Designs

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Computer Systems Science & Engineering 2023年第4期45卷 311-328页

作者： Bhagyalaxmi Behera Gyana ranjan Patra Shailendra kumar Varshney Mihir Narayan Mohanty ITER Siksha‘O’Anusandhan(Deemed to be University)Bhubaneswar751030India Department of Electronics and Electrical Communication Engineering IITKharagpur721302India

The medium for next-generation communication is considered as fiber for fast,secure communication and switching *** division and space division multiplexing provide an excellent switching capability with high data transmission *** this work,the authors have approached an inverse modeling technique using regression-based machine learning to design a weakly coupled few-mode fiber for facilitating mode division *** technique is adapted to predict the accurate profile parameters for the proposed few-mode fiber to obtain the maximum number of *** is for a three-ring-core few-mode fiber for guiding five,ten,fifteen,and twenty *** types of regression models namely ordinary least-square linear multi-output regression,k-nearest neighbors of multi-output regression,and ID3 algorithm-based decision trees for multi-output regression are used for predicting the multiple profile *** is observed that the ID3-based decision tree for multioutput regression is the robust,highly-accurate machine learning model for fast modeling of *** proposed fiber claims to be an efficient candidate for the next-generation 5G and 6G backhaul networks using mode division multiplexing.

关键词： Few-mode fibers inverse modeling machine learning regression ring-core

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Hybrid Metamodel—NSGA-III—EDAS Based Optimal Design of Thin Film Coatings

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Computers, Materials & Continua 2021年第2期66卷 1771-1784页

作者： Kamlendra Vikram Uvaraja Ragavendran Kanak Kalita ranjan kumar Ghadai Xiao-Zhi Gao Department of Mechanical Engineering Vel Tech Rangarajan Dr.Sagunthala R&D Institute of Science and TechnologyAvadi600062India Department of Electronics and Telecommunication Engineering MPSTME SVKM’S Narsee Monjee Institute of Management StudiesShirpur425405India Department of Mechanical Engineering Sikkim Manipal Institute of TechnologySikkim Manipal UniversityMajhitar737136India School of Computing University of Eastern FinlandKuopio70211Finland

In this work,diamond-like carbon(DLC)thin film coatings are deposited on silicon substrates by using plasma-enhanced chemical vapour deposition(PECVD)*** varying the hydrogen(H2)flow rate,CH4−Argon(Ar)flow rate and deposition temperature(Td)as per a Box-Behnken experimental design(BBD),15 DLC deposition experiments are carried *** Young’s modulus(E)and the coefficient of friction(COF)for the DLCs are *** using a second-order polynomial regression approach,two metamodels are built for E and COF,that establish them as functions of H2 flow rate,CH4-Ar flow rate and Td.A non-dominated sorting genetic algorithm(NSGA-III)is used to obtain a set of Pareto solutions for the multi-objective optimization of E maximization and COF *** to various practical scenarios,evaluation based on distance from average solution(EDAS)approach is used to identify the most feasible solutions out of the Pareto solution *** experiments are conducted which shows the efficacy of the polynomial regression—NSGA-III—EDAS hybrid *** surface morphology of the DLCs deposited as per the optimal predictions is also studied by using atomic force microscopy.

关键词： Multi-objective optimization regression analysis thin-film coating

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Root cause of sand production and methodologies for prediction

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Petroleum 2021年第3期7卷 263-271页

作者： Surej kumar Subbiah Arifin Samsuri Assef Mohamad-Hussein Mohd Zaidi Jaafar Ying Ru Chen Rajeev ranjan kumar Department of Petroleum Engineering Faculty of EngineeringUniversiti Teknologi MalaysiaMalaysia Schlumberger GatwickUnited Kingdom Schlumberger DohaQatar Schlumberger MumbaiIndia

The consequences of sandstone reservoir rock failure may lead to sand *** phenomenon can have negative impact on lifting cost and economic of any field *** erosion due to sanding can lead to loss of integrity and hydrocarbon *** decision on the type of completion can risk the viability of the *** facilitate best sand management over the life of a field and to maintain economical productivity,accurate prediction of sand production volume/rates is needed to increase both productivity and the ultimate recovery of the hydrocarbon while keeping the operating cost *** paper summarizes the sand production modeling for onset and volume of sand namely technology that required to improve understanding on sand production and *** main questions will be answered,why industry needs to worry about sand production,what are the available technologies to predict sanding volume/rates finally,how the current technologies can be improved to estimate sand production volume/rates.

关键词： Sand production Sanding rates Geomechanics Sand control Constitutive model Failure criteria

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