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Development of a mass model in estimating weight-wise particle size distribution using digital image processing

International Journal of Mining Science and Technology 2017年第3期27卷 435-443页

作者： maiti abhik Chakravarty Debashish Biswas Kousik Halder Arpan Department of Mining Engineering Indian Institute of Technology Kharag-pur 721302 India

Particle size distribution of coarse aggregates through mechanical sieving gives results in terms of cumu- lative mass percent. But digital image processing generated size distribution of particles, while being fast and accurate, is often expressed in terms of area function or number of particles. In this paper, a mass model is developed which converts the image obtained size distribution to mass-wise distribution, mak- ing it readily comparable to mechanical sieving data. The concept of weight/particle ratio is introduced for mass reconstruction from 2D images of particle aggregates. Using this mass model, the effects of several particle shape parameters （such as major axis, minor axis, and equivalent diameter） on sieve-size of the particles is studied. It is shown that the sieve-size of a particle strongly depend upon the shape param- eters, 91% of its variation being explained by major axis, minor axis, bounding box length and equivalent diameter. Furthermore, minor axis gives an overall accurate estimate of particle sieve-size, error in mean size （D-50） being just 0.4%. However, sieve-size of smaller particles （〈20 ram） strongly depends upon the length of the smaller arm of the bounding box enclosing them and sieve-sizes of larger particles （〉20 mm） are highly correlated to their equivalent diameters. Multiple linear regression analysis has been used to generate overall mass-wise particle size distribution, considering the influences of all these shape parameters on particle sieve-size. Multiple linear regression generated overall mass-wise particle size distribution shows a strong correlation with sieve generated data. The adjusted R-square value of the regression analysis is found to be 99 percent （w.r,t cumulative frequency）. The method proposed in this paper provides a time-efficient way of producing accurate （up to 99%） mass-wise PSD using digital image processing and it can be used effectively to renlace the mechanical sieving.

关键词： Particle size distribution Image analysis Particle shape parameters Weight/particle ratio Sieve analysis

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Exploring innovative techniques for damage control during natural disasters

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Journal of Safety Science and Resilience 2024年第2期5卷 147-155页

作者： Moinak maiti Parthajit Kayal Departnent of Finance School of Economics and FinanceUniversity of the WitwatersrandJohannesburgSouth Africa Madras School of Economics(MSE) Gandhi Mandapam RoadBehind Govermment Data CentreKotturChennai 600025India

The study critically examines the principles,mechanisms,and effectiveness of different damage control tech-niques in dealing with natural disasters,emphasizing their pivotal role in minimizing casualties and economic *** of these damage control techniques is mapped based on their applications and relevance in the key areas of natural disaster *** utilizing various real-world instances,the present study shows that the effective implementation of various innovative techniques is shaping the space of natural disaster management in a global *** integration of different innovative techniques into the existing natural disaster management system has improved the survival rate,economic performance,and sustainable *** study finds that innovative disaster financing models,clear strategies,and creating awareness among communities can improve the overall efficiency of innovative techniques that are currently used for damage control during natural disaster *** the substantial advantages of these creative strategies,the study acknowledges challenges such as financial constraints,unclear policy goals,and community adaptation *** study also indicates that in the future,automatic damage restoration,quick prototyping,and additive engineering will play a vital role in controlling damage from catastrophic events,while it acknowledges limitations in temporal scope,generaliz-ability,andfinancial constraints.

关键词： GIS 3D printing technology Self-healingmaterials Digital twin models Disasters financing

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A machine learning approach for the prediction of pore pressure using well log data of Hikurangi Tuaheni Zone of IODP Expedition 372,New Zealand

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Energy Geoscience 2024年第2期5卷 225-231页

作者： Goutami Das Saumen maiti Machine Learning and Geocomputing Laboratory Department of Applied GeophysicsIIT(ISM)Dhanbad826004JharkhandIndia

Pore pressure(PP)information plays an important role in analysing the geomechanical properties of the reservoir and hydrocarbon field *** prediction is an essential requirement to ensure safe drilling operations and it is a fundamental input for well design,and mud weight estimation for wellbore ***,the pore pressure trend prediction in complex geological provinces is challenging particularly at oceanic slope setting,where sedimentation rate is relatively high and PP can be driven by various complex *** overcome these difficulties,an advanced machine learning(ML)tool is implemented in combination with empirical *** empirical method for PP prediction is comprised of data pre-processing and model establishment ***'s method and Porosity method have been used for PP calculation of the well U1517A located at Tuaheni Landslide Complex of Hikurangi Subduction zone of IODP expedition ***-ray,sonic travel time,bulk density and sonic derived porosity are extracted from well log data for the theoretical framework *** normal compaction trend(NCT)curve analysis is used to check the optimum fitting of the low permeable zone *** statistical analysis is done using the histogram analysis and Pearson correlation coefficient matrix with PP data series to identify potential input combinations for ML-based predictive model *** dataset is prepared and divided into two parts:Training and *** PP data and well log of borehole U1517A is pre-processed to scale in between[-1,+1]to fit into the input range of the non-linear activation/transfer function of the decision tree regression *** Decision Tree Regression(DTR)algorithm is built and compared to the model performance to predict the PP and identify the overpressure zone in Hikurangi Tuaheni Zone of IODP Expedition 372.

关键词： Well log Pore pressure Machine learning(ML) IODP Hikurangi Tuaheni Zone IODP Expedition 372

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Synthesis and characterization of ultra-soft alginate hydrogel mimicking lung tissue

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International Journal of Smart and Nano Materials 2024年第3期15卷 593-609页

作者： Xiangpeng Li Jihua Gou Chiranjit maiti Olusegun J.Ilegbusi Department of Mechanical and Aerospace Engineering University of Central FloridaOrlandoFLUSA

Alginate hydrogels possess properties analogous to those of the extracellular matrix(ECM).Thus,their mechanical behavior approx-imates soft tissue,which makes them desirable for the production of tissue-equivalent soft deformable *** study aims to determine the synthesis-structure-property relationship for alginate hydrogel with the Young’s modulus in the range of 10°~101 kPa,mimicking to that of human lung ***,a 3D polymer network embedded in a water-rich *** alginate hydrogels are synthesized by a direct mixture of sodium alginate and CaCO3,followed by the addition of D-glucono-δ-lactone(GDL)to initiate in-situ Ca^(2+)release and *** influence of alginate concentration and molar ratio of the constitu-ent calcium ion to carboxyl group from alginate monomer are evaluated while the Young’s modulus of the hydrogel is carefully controlled within the desired *** and SEM are used to characterize the influence of synthesis parameters at the molecular and microstructure *** and compression testing are performed to determine the Young’s modulus of the *** relations are established between synthesis parameters and the mechanical *** result of the study will be subse-quently used to guide the additive manufacturing of soft deform-able structures based on alginate hydrogels.

关键词： Alginate hydrogels Ultra-low modulus lung tissue-mimicking materials

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Boosting the catalytic activity toward oxygen reduction via a heterostructure of porous iron oxide-decorated 2D NiO/NG nanosheets

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Journal of Energy Chemistry 2024年第6期93卷 669-681,I0016页

作者： Kakali maiti Matthew T.Curnan Hyung Jun Kim Kyeounghak Kim Jeong Woo Han Department of Chemical Engineering Pohang University of Science and Technology(POSTECH)PohangGyeongbuk 37673Republic of Korea Department of Materials Science and Engineering Research Institute of Advanced MaterialsSeoul National UniversitySeoul 08826Republic of Korea Department of Chemical Engineering Clean-Energy Research InstituteHanyang UniversitySeoul 04763Republic of Korea CSIR-Institute of Minerals and Materials Technology RRL CampusAcharya ViharBhubaneswarOdisha 751013India

As a noble metal substitute,two-dimensional(2D)hierarchical nano-frame structures have attracted great interest as candidate catalysts due to their remarkable advantages-high intrinsic activity,high electron mobility,and straightforward surface ***,they may replace Pt-based catalysts in oxygen reduction reaction(ORR)***,a simple method is developed to design hierarchical nano-frame structures assembled via 2D NiO and N-doped graphene(NG)*** procedure can yield nanostructures that satisfy the criteria correlated with improved electrocatalytic performance,such as large surface area,numerous undercoordinated atoms,and high defect ***,porous NG nanosheet architectures,featuring NiO nanosheets densely coordinated with accessible holey Fe_(2)O_(3) moieties,can enhance mesoporosity and balance *** improvements can facilitate charge transport and expose formerly inaccessible reaction sites,maximizing active site density *** functional theory(DFT)calculations reveal favored O_(2) adsorption and dissociation on Fe_(2)O_(3) hybrid structures when supported by 2D NiO and NG nanomaterials,given 2D materials donated charge to Fe_(2)O_(3) active *** systematic studies reveal that synergistic contributions are responsible for enriching the catalytic activity of Fe_(2)O_(3)@NiO/NG in alkaline media-encompassing internal voids and pores,unique hierarchical support structures,and concentrated N-dopant and bimetallic atomic ***,this work expands the toolbox for designing and synthesizing highly efficient 2D/2D shelled functional nanomaterials with transition metals,endeavoring to benefit energy conversion and related ORR applications.

关键词： N-doped graphene Holey Fe_(2)O_(3)nanocrystals NiO nanosheets High catalytic performance ORR

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Novel succinoylated carboxymethyl guar gum nanocarriers of glimepiride for controlling type-2 diabetes

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Medicine in Novel Technology and Devices 2024年第2期22卷 133-139页

作者： Harsh Yadav Biswajit Maji Sabyasachi maiti Department of Pharmacy Indira Gandhi National Tribal UniversityAmarkantakMadhya PradeshIndia Department of Chemistry Indira Gandhi National Tribal UniversityAmarkantakMadhya PradeshIndia

In this study,guar gum(GG)was chemically modified to its carboxymethyl derivative,which was then esterified with octenyl succinic anhydride(OSA)using a nucleophilic catalyst 4-dimethylaminopyridine(DMAP)to render the derivative amphiphilic *** carboxymethyl guar gum(CMGG)and succinoylated CMGG was characterized using Fourier transform infrared spectroscopy(FTIR)*** amphiphilic CMGG synthesized using DMAP/OSA ratio of 0.5:1(CMGGOSA-I),was found to be *** amphiphilic guar gum self-assembled in water to form nanocarriers with mean diameter of 430 nm and zeta potential of19.0 *** electron microscope(TEM)image showed spherical nature of the developed CMGGOSA-I nano*** presence of amphiphilic CMGG,the aqueous solubility of glimepiride was enhanced by about *** nanocarriers released glimepiride in simulated gastrointestinal fluids for a period of more than 24 h,following Higuchi's ***-Peppas modeling of the drug release data revealed that a combination of swelling and diffusion mechanism was operative in the event of drug *** streptozotocin-induced diabetic rat model,the nanocarriers outperformed pure drug suspensions in terms of anti-diabetic activity,which lasted up to 24 ***;the newly synthesized amphiphilic CMGG nanocarriers demonstrated controlled drug release properties and showed promise for controlling type-2 diabetes.

关键词： Guar gum Glimepiride Octenyl succinic anhydride Anti-diabetic efficacy

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腙基席夫碱配体铜(Ⅱ)配合物的合成、结构表征、生物活性和密度泛函理论计算

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无机化学学报 2024年第7期40卷 1409-1422页

作者： Bhattacharjee Maitri Boruah Smriti Rekha Dutta Purkayastha R.N. Maniukiewicz Waldemar Chowdhury Shubhamoy maiti Debasish Akhtar Tamanna Department of Chemistry Tripura UniversitySuryamaninagar‑799022TripuraIndia Institute of General and Ecological Chemistry Lodz University of TechnologyZeromskiego 11690‑924ŁódzPoland Department of Chemistry University of GourbangaMokdumpurMaldaWest Bengal‑732103India Department of Human Physiology Tripura UniversitySuryamaninagar‑799022TripuraIndia

以甲醇为介质,合成了3种新的席夫碱配体HL^(1)(2-hydroxybenzaldehyde2-(2-oxo-1,2-diphenylethylidene)hydrazone)、HL^(2)(4-hydroxybenzaldehyde2-(2-oxo-1,2-diphenylethylidene)hydrazone)和L^(3)(2-methoxybenzaldehyde2-(2-oxo-1,2-diphenylethylidene)hydrazone)的Cu(Ⅱ)配合物1-3。通过元素分析、光谱方法、磁化率测量和密度泛函理论(DFT)计算对配合物进行了表征。通过单晶X射线衍射研究对合成的配体进行了结构表征。通过DFT计算确定了配合物的优化结构。通过紫外可见吸收光谱和荧光发射光谱研究了配合物与小牛胸腺DNA(CT-DNA)的结合能力。吸收光谱研究揭示了增色效应,并提出了与CT-DNA相互作用的可能模式。溴化乙锭(EB)竞争结合研究表明,配合物可以取代DNA-EB加合物中的DNA,且配合物可能以嵌入模式与CTDNA结合。配合物对革兰氏阴性肺炎克雷伯菌、大肠杆菌、鲍氏志贺菌和革兰氏阳性金黄色葡萄球菌的体外抗菌活性研究表明,配合物2对肺炎克雷伯菌和鲍氏志贺菌具有明显抗菌活性,但配合物1和3没有表现出任何显著的抗菌活性。

关键词： Cu(Ⅱ)配合物席夫碱结构生物活性密度泛函理论

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Integrating the Analytical Hierarchy Process(AHP) and the Frequency Ratio(FR) Model in Landslide Susceptibility Mapping of Shiv-khola Watershed,Darjeeling Himalaya

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International Journal of Disaster Risk Science 2013年第4期4卷 200-212页

作者： Sujit Mondal Ramkrishna maiti Department of Geography Raja N.L.Khan Women’s CollegePaschim MedinipurWest Bengal721102India Department of Geography and Environment Management Vidyasagar UniversityPaschim MedinipurWest Bengal721102India

To prepare a landslide susceptibility map of Shivkhola watershed,one of the landslide prone parts of Darjeeling Himalaya,remote sensing and GIS tools were used to integrate 10 landslide triggering parameters:lithology,slope angle,slope aspect,slope curvature,drainage density,upslope contributing area(UCA),lineament,settlement density,road contributing area(RCA),and land use and land cover(LULC).The Analytical Hierarchy Process(AHP) was applied to derive factor weights using MATLAB with reasonable consistency ratio(CR).The frequency ratio(FR) model was used to derive class frequency ratio or class weights that indicate the relative importance of individual classes for each *** weighted linear combination(WLC) method was used to determine the landslide susceptibility index value(LSIV) on a GIS platform,by incorporating both factor weights and class *** Shiv-khola watershed is classified into five landslide susceptibility *** overall classification accuracy is 99.22 and Kappa Statistics is 0.894.

关键词： weights susceptibility watershed

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Geochemical contamination in the mine affected soil of Raniganj Coalfield——A river basin scale assessment

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Geoscience Frontiers 2018年第5期9卷 1577-1590页

作者： Abhijit Manna Ramkrishna maiti Department of Geography and Environment Management Vidyasagar University

The study aimed to assess the heavy metals(K, Ca, Ti, Cr, Mn, Fe, Ni, Cu, Zn, As, Pb, Sr, Zr) contamination in the soil of mine affected Singaran river basin and to analyse spatial variation in the contamination level considering 32 soil samples. Elemental analysis of soil samples has been performed through Energy Dispersive X-ray Analysis(EDX) to quantify the elemental concentration(mg kgà1). Heavy metal concentrations have been assessed through geo-accumulation index(Igeo) and enrichment factor(EF).Indices showed soils have moderate accumulation of most of the metals with moderate enrichment of Sr,Zr, Zn, Cu and Ni. Soil contamination level assessment has been carried out using indices like Contamination Factor(CF), degree of contamination(C_(deg)), modified degree of contamination(m C_(deg)) and Pollution Load Index(PLI). CF shows moderate to considerable contamination by Sr, Zr, Ca, Cu, Mn, Zn and Ni. Mean indices values(m C_(deg)and PLI for the entire basin are 3.38 and 2.23 respectively) show low to moderate level of soil contamination. These indices result have been mapped and analysed in GIS platform to get spatial variation of pollution level. Opencast mines dominate middle catchment area and so is comparatively contaminated. Sample sites 11, 18 and 25 evidenced high values of all indices of pollution load. From the ecological standpoint Ecological Risk Factor(Er) and Potential Ecological Risk Index(RI) have been estimated to assess regional threat to native soil environment and it shows low ecological risk potential. Analysis shows that mine dominated soil of the entire Singaran basin is less contaminated in all respect but tends to the moderate contamination level at the mid-catchment area,especially by Sr, Zr, Zn, Cu and Ni.

关键词： Heavy metals Soil contamination Pollution indices Pollution load Ecological risk Singaran basin

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Cloudy fuzzy inventory model under imperfect production process with demand dependent production rate

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Journal of Management Analytics 2021年第4期8卷 741-763页

作者： Ajoy Kumar maiti Department of Mathematics(UG&PG) Raja Narendra Lal Khan Women’s College(Autonomous)Gope PalacePaschim MedinipurIndia

The aim of this article is an effort to initiate the cloudy fuzzy number in developing classical economic production lot-size model of an item produced in scrappy production process with fixed ordering cost and without ***,the market value of an item is cloudy fuzzy number and the production rate is demand *** general,fuzziness of any parameter remains fixed over time,but in practice,fuzziness of parameter begins to reduce as time progresses because of collected experience and knowledge that motivates to take cloudy fuzzy *** model is solved in a crisp,general fuzzy and cloudy fuzzy environment using Yager’s index method and De and Beg’s ranking index method and comparisons are made for all cases and better results obtained in the cloudy fuzzy *** model is solved by dominance based Particle Swarm Optimization algorithm to obtain optimal decision and numerical examples and sensitivity analyses are presented to justify the notion.

关键词： EPL reliability De and Beg’s ranking index method cloudy fuzzy number Dominance Based Particle Swarm Optimization(DBPSO)

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