|
|
|
题名
|
作者
|
年代
|
出处
|
被引量
|
| 1 | 高速公路事故清理时间影响因素分析(英文)显示文摘交通事故是导致高速公路延误的一个主要因素,同时也降低了道路通行能力、车辆以及人员的安全性,甚至有可能导致二次事故发生.对此,相关部门已开始制定一些事故管理方案以降低或者消除事故影响并最大限度地增加道路通行能力和车辆行驶安全性.应密歇根交通部要求对底特律市高速公路网事故清理时间影响因素进行分析,基于交通流数据、道路几何特征及大量的事故数据,建立了参数化危险持续时间模型.所建立的四个模型分别基于不同的概率分布.结果表明,四个模型的性能大体相似,但是相对于其他分布,log-logistic分布更适合于事故清理时间分析.对事故清理时间影响显著的因素有:事故发生的时间、路段交通特性和几何特性,以及事故特征. | GHOSH Indrajit | 2012 | 交通运输系统工程与信息2012，12，3： | 3 |
| 2 | Nanosuspension for improving the bioavailability of a poorly soluble drug and screening of stabilizing agents to inhibit crystal growth显示文摘 | Indrajit Ghosh Sonali Bose Radha Vippagunta Ferris Harmon | 2011 | International Journal of Pharmaceutics2011，，1： | 1 |
| 3 | Multiphase materials with lignin: XV Blends of cellulose acetate butyrate with lignin esters显示文摘 | Indrajit Ghosh Rajesh K Jain Wolfgang G Glasser | 1999 | Journal of Applied Polymer Science1999，74，2： | 1 |
| 4 | Anodic oxidation of Pb–In alloys in alkaline solution:显示文摘 | Indrajit Mukhopadhyay Susanta Ghosh Maheshwar Sharon | 1998 | Solar Energy Materials and Solar Cells1998，，： | 1 |
| 5 | COVID-19 strict lockdown impact on urban air quality and atmospheric temperature in four megacities of India显示文摘COVID-19 pandemic has forced to lockdown entire India starting from 24th March 2020 to 14th April 2020(first phase), extended up to 3rd May 2020(second phase), and further extended up to 17th May 2020(third phase) with limited relaxation in non-hotspot areas. This strict lockdown has severely curtailed human activity across India. Here, aerosol concentrations of particular matters(PM) i.e., PM,PM, carbon monoxide(CO), nitrogen dioxide(NO), sulphur dioxide(SO), ammonia(NH) and ozone(O), and associated temperature fluctuation in four megacities(Delhi, Mumbai, Kolkata, and Chennai)from different regions of India were investigated. In this pandemic period, air temperature of Delhi,Kolkata, Mumbai and Chennai has decreased about 3 ℃, 2.5 ℃, 2 ℃ and 2 ℃ respectively. Compared to previous years and pre-lockdown period, air pollutants level and aerosol concentration(-41.91%,-37.13%,-54.94% and-46.79% respectively for Delhi, Mumbai, Kolkata and Chennai) in these four megacities has improved drastically during this lockdown period. Emission of PMhas experienced the highest decrease in these megacities, which directly shows the positive impact of restricted vehicular movement. Restricted emissions produce encouraging results in terms of urban air quality and temperature, which may encourage policymakers to consider it in terms of environmental sustainability. | Subodh Chandra Pal Indrajit Chowdhuri Asish Saha Manoranjan Ghosh Paramita Roy Biswajit Das Rabin Chakrabortty Manisa Shit | 2022 | Geoscience Frontiers2022，13，6： | 0 |
| 6 | An integrated deterministic-stochastic approach for forecasting the long-term trajectories of COVID-19显示文摘The ongoing coronavirus disease 2019(COVID-19)pandemic is one of the major health emergencies in decades that affected almost every country in the world.As of June 30,2020,it has caused an outbreak with more than 10 million confirmed infections,and more than 500,000 reported deaths globally.Due to the unavailability of an effective treatment(or vaccine)and insufficient evidence regarding the transmission mechanism of the epidemic,the world population is currently in a vulnerable position.The daily cases data sets of COVID-19 for profoundly affected countries represent a stochastic process comprised of deterministic and stochastic components.This study proposes an integrated deterministic–stochastic approach to forecast the long-term trajectories of the COVID-19 cases for Italy and Spain.The deterministic component of the daily-cases univariate time series is assessed by an extended version of the SIR[Susceptible–Infected–Recovered–Protected–Isolated(SIRCX)]model,whereas its stochastic component is modeled using an autoregressive(AR)time series model.The proposed integrated SIRCX-AR(ISA)approach based on two operationally distinct modeling paradigms utilizes the superiority of both the deterministic SIRCX and stochastic AR models to find the long-term trajectories of the epidemic curves.Experimental analysis based on the proposed ISA model shows significant improvement in the long-term forecasting of COVID-19 cases for Italy and Spain in comparison to the ODE-based SIRCX model.The estimated Basic reproduction numbers for Italy and Spain based on SIRCX model are found to be 4.78 and 3.25,respectively.ISA model-based results reveal that the number of cases in Italy and Spain between 11 May,2020–9 June,2020 will be 10,982(6383–15,582)and 13,731(3395–29,013),respectively.Additionally,the expected number of daily cases on 9 July,2020 for Italy and Spain is estimated to be 30(0–183)and 92(0–602),respectively. | Indrajit Ghosh Tanujit Chakraborty | 2021 | International Journal of Modeling, Simulation, and Scientific Computing2021，12，3： | 0 |
您所在的机构暂未开通此部分的功能，请联系管理员