检索结果-南通市图书馆

A Workable Solution for Reducing the Large Number of Vehicle and Pedestrian Accidents Occurring on a Yellow Light

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Journal of Transportation Technologies 2024年第1期14卷 82-87页

作者： pranav Gupta Silki Arora Drive Safe Now Ottawa Canada

Traffic intersections are incredibly dangerous for drivers and pedestrians. Statistics from both Canada and the U.S. show a high number of fatalities and serious injuries related to crashes at intersections. In Canada, during 2019, the National Collision Database shows that 28% of traffic fatalities and 42% of serious injuries occurred at intersections. Likewise, the U.S. National Highway Traffic Administration (NHTSA) found that about 40% of the estimated 5,811,000 accidents in the U.S. during the year studied were intersection-related crashes. In fact, a major survey by the car insurance industry found that nearly 85% of drivers could not identify the correct action to take when approaching a yellow traffic light at an intersection. One major reason for these accidents is the “yellow light dilemma,” the ambiguous situation where a driver should stop or proceed forward when unexpectedly faced with a yellow light. This situation is even further exacerbated by the tendency of aggressive drivers to inappropriately speed up on the yellow just to get through the traffic light. A survey of Canadian drivers conducted by the Traffic Injury Research Foundation found that 9% of drivers admitted to speeding up to get through a traffic light. Another reason for these accidents is the increased danger of making a left-hand turn on yellow. According to the National Highway Traffic Safety Association (NHTSA), left turns occur in approximately 22.2% of collisions—as opposed to just 1.2% for right turns. Moreover, a study by CNN found left turns are three times as likely to kill pedestrians than right turns. The reason left turns are so much more likely to cause an accident is because they take a driver against traffic and in the path of oncoming cars. Additionally, most of these left turns occur at the driver’s discretion—as opposed to the distressingly brief left-hand arrow at busy intersections. Drive Safe Now proposes a workable solution for reducing the number of accidents occ

关键词： Traffic Accidents Yellow Light Traffic Light Signals Intersection Crashes Collision Traffic Fatalities Traffic Injuries Vehicles Safety Speed Limit Driving Pedestrians Bicyclists Motorcyclists Caution Line Yellow Light Dilemma Left Hand Turn on Yellow Distance Smart Road Technology Signs Signage Autonomous Vehicles AVs Road Safety IoT Internet of Things Infrastructure Accident Reduction Driving Habits Stop Line Red Light Jumping Pedestrian Safety Caution Light Stopping at Intersection Safety at Intersections

An Inchworm-inspired Robot Based on Modular Body, Electronics and Passive Friction Pads Performing the Two-anchor Crawl Gait

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Journal of Bionic Engineering 2018年第5期15卷 820-826页

作者： Flavio Moreira Anthony Abundis Michael Aguirre Justin Castillo pranav A. bhounsule Robotics and Motion Laboratory Department of Mechanical Engineering The University of Texas at San Antonio One UTSA Circle San Antonio rX78249 USA

We have created an inchworm robot capable of the two-anchor crawl gait on level ground and inclined plane. The main novelty is in the design of the inchworm：（1） three-part body that is 3D printed and actuated by two servo motors to allow a looping and lengthening action, （2） passive friction pads to anchor the feet, each of which may be disengaged using a servo motor actuated lever arm, and （3） modular body and electronics. The robot is about 2 feet （61 cm） in length, has a mass of about 4 kg, and uses an open-loop controller to achieve steady crawling gait. The inchworm robot achieved a speed of 2.54 *** on level ground as well as on an incline plane of 19~. The energy usage as measured by the Mechanical Cost of Transport （a non-dimensional number defined as the energy used per unit weight per unit distance moved） is 3.34. Our results indicate that simple robotic designs that copy the basic features of natural organisms provide a promising alternative over conventional wheeled robots.

关键词： inchworm bioinspiration two-anchor crawl gait 3D printing sliding locomotion cost of transport

Chemical surface tuning of zinc metal anode toward stable,dendrite-less aqueous zinc-ion batteries

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Journal of Energy Chemistry 2023年第11期86卷 1-8,I0001页

作者： pranav Kulkarni Sun-Sik Kim Hyun Young Jung Department of Energy Engineering Gyeongsang National UniversityJinju-siGyeongnam 52725South Korea Department of Energy System Engineering Gyeongsang National UniversityJinju-siGyeongnam 52725South Korea

The commercialization of Zn batteries is confronted with urgent challenges in the metal anode,such as dendrite formation,capacity loss,and cracking or ***,surface interfacial engineering of the Zn anode is introduced for achieving safety and dendritic-free cycling for high-performance aqueous Zn batteries through a simple but highly effective chemical etching-substitution *** chemical modification induces a rough peak-valley surface with a thin fluorine-rich interfacial layer on the Zn anode surface,which regulates the growth orientation via guiding uniform Zn plating/stripping,significantly enhances accessibility to aqueous electrolytes and improves wettability by reducing surface *** a result,such a synergetic surface effect enables uniform Zn plating/stripping with low polarization of 29 m V at a current density of 0.5 m A cm^(-2) with stable cyclic performance up to 1000 ***,a full cell composed of a fluorine-substituted Zn anode coupled with aβ-MnO_(2)or Ba-V_(6)O_(13)cathode demonstrates improved capacity retention to 1000 cycles compared to the pristine-Zn *** proposed valley deposition model provides the practical direction of surface-modified interfacial chemistries for improving the electrochemical properties of multivalent metal anodes via surface tuning.

关键词： Dendrite free Peak-Valley surface Zinc-ion batteries Surface modification Fluorinated interface

Load dependent microstructural evolution in an as-cast 26%Cr high chromium cast iron during unlubricated sliding

在线全文

学校读者我要写书评

暂无评论

Friction 2022年第8期10卷 1258-1275页

作者： U.pranav NAYAK Sebastian SUÁREZ Valentin PESNEL Frank MÜCKLICH María Agustina GUITAR Department of Materials Science Saarland UniversitySaarbrücken 66123Germany Materials Engineering Center Saarland Saarbrücken 66123Germany Ecole Européenne d’ingénieurs en Génie des Matériaux Universitéde LorraineNancy 54000France

In the current study,an as-cast 26%Cr high chromium cast iron(HCCI)alloy was subjected to dry-sliding linear wear tests,under different *** loads were selected based on analytically computing the critical load(PC)i.e.,the load necessary to induce plastic *** PC was calculated to be 15 N and accordingly,a sub-critical load(5 N)and an over-critical load(20 N)were *** influence of increasing the load during the wear test was investigated in terms of the matrix microstructural behaviour and its ability to support the surrounding *** morphological aspects of the wear tracks,and the deformed matrix microstructure adjacent and underneath the track was analysed by confocal laser scanning microscope(CLSM)and scanning electron microscope(SEM),*** evidence of plastic deformation of the matrix was observed below *** the contrary,at loads equal to and higher than PC,the austenitic matrix plastically deformed as evidenced by the presence of slip *** backscattered diffraction(EBSD)measurements in terms of grain reference orientation deviation,and micro-Vickers hardness of the austenitic matrix indicated a deformation depth of about 40μm at the maximum applied load of 20 *** active wear mechanisms during sliding were a combination of both adhesive and abrasive wear,although increasing the load shifted the dominant mechanism towards *** was primarily attributable to the increased propensity for carbide cracking and fracturing,combined with the inability of the hardened austenitic matrix surface and sub-surface to adequately support the broken carbide ***,the shift in the dominant wear mechanism was also reflected in the wear volume and subsequently,the wear rate.

关键词： high chromium cast iron unlubricated sliding plastic deformation wear resistance carbide spallation matrix hardness

Mutation Prediction for Coronaviruses Using Genome Sequence and Recurrent Neural Networks

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Computers, Materials & Continua 2022年第10期73卷 1601-1619页

作者： pranav Pushkar Christo Ananth Preeti Nagrath Jehad F.Al-Amri Vividha Anand Nayyar Bharati Vidyapeeth’s College of Engineering New Delhi110063India Department of Natural and Exact Sciences Samarkand State UniversitySamarkandUzbekistan Graduate School Duy Tan UniversityDa Nang550000Viet Nam Faculty of Information Technology Duy Tan UniversityDa Nang550000Viet Nam Department of Information Technology College of Computers and Information TechnologyTaif UniversityTaif21944Saudi Arabia

The study of viruses and their genetics has been an opportunity as well as a challenge for the scientific *** recent ongoing SARSCov2(Severe Acute Respiratory Syndrome)pandemic proved the unpreparedness for these *** only the countermeasures for the effect caused by virus need to be tackled but the mutation taking place in the very genome of the virus is needed to be kept in check *** major way to find out more information about such pathogens is by extracting the genetic data of such *** genetic data of viruses have been cultured and stored as well as isolated in form of their genome sequences,there is still limited methods on what new viruses can be generated in future due to *** research proposes a deep learning model to predict the genome sequences of the SARS-Cov2 virus using only the previous viruses of the coronaviridae family with the help of RNN-LSTM(Recurrent Neural Network-Long ShortTerm Memory)and RNN-GRU(Gated Recurrent Unit)so that in the future,several counter measures can be taken by predicting possible changes in the genome with the help of existing mutations in the *** the process of testing the model,the F1-recall came out to be more than *** mutation detection’s accuracy of both the models come out about 98.5%which shows the capability of the recurrent neural network to predict future changes in the genome of virus.

关键词： COVID-19 genome sequence coronaviridae RNN-LSTM RNN-GRU

A comprehensive review of pre-lithiation/sodiation additives for Li-ion and Na-ion batteries

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Journal of Energy Chemistry 2023年第1期76卷 479-494,I0012页

作者： pranav Kulkarni Hyunyoung Jung Debasis Ghosh Mohammed Jalalah Mabkhoot Alsaiari Farid A.Harraz R.Geetha Balakrishna Centre for Nano and Material Sciences Jain Global CampusJain UniversityKanakapuraBangalore 562112KarnatakaIndia Department of Energy Engineering Gyeongsang National UniversityJinju-siCyeongnam 52725South Korea Promising Centre for Sensors and Electronic Devices(PCSED) Advanced Materials and Nano-Research CentreNajran UniversityNajran 11001Saudi Arabia Department of Electrical Engineering College of EngineeringNajran UniversityNajran 11001Saudi Arabia Empty Quarter Unit Department of ChemistryFaculty of Science and Arts at SharurahNajran UniversityNajran 11001Saudi Arabia Nanomaterials and Nanotechnology Department Central Metallurgical Research and Development Institute(CMRDI)HelwanCairo 11421Egypt

Lithium/Sodium-ion batteries(LIB/SIB)have attracted enormous attention as a promising electrochemical energy storage system due to their high energy density and long cycle *** of the major hurdles is the initial irreversible capacity loss during the first few cycles owing to forming the solid electrolyte interphase layer(SEI).This process consumes a profusion of lithium/sodium,which reduces the overall energy density and cycle ***,a suitable approach to compensate for the irreversible capacity loss must be developed to improve the energy density and cycle ***-lithiation/sodiation is a widely accepted process to compensate for the irreversible capacity loss during the initial *** strategies such as physical,chemical,and electrochemical pre-lithiation/sodiation have been explored;however,these approaches add an extra step to the current manufacturing *** to these strategies,pre-lithiation/sodiation additives have attracted enormous attention due to their easy adaptability and compatibility with the current battery manufacturing *** this review,we consolidate recent developments and emphasize the importance of using pre-lithiation/sodiation additives(anode and cathode)to overcome the irreversible capacity loss during the initial cycles in lithium/sodium-ion *** review also addresses the technical and scientific challenges of using pre-lithiation/sodiation additives and offers the insights to boost the energy density and cycle life with their possible commercial *** most important prerequisites for designing effective pre-lithiation/sodiation additives have been explored and the future directions have been discussed.

关键词： Pre-lithiation/sodiation additives Solid electrolyte interphase Anode pre-lithiation/sodiation additives Cathode pre-lithiation/sodiation additives Coulombic efficiency

Pd/Fe_(3)O_(4) supported on bio-waste derived cellulosic-carbon as a nanocatalyst for C-C coupling and electrocatalytic application

在线全文

学校读者我要写书评

暂无评论

Frontiers of Chemical Science and Engineering 2022年第10期16卷 1514-1525页

作者： Vishal Kandathil Akshay Moolakkil pranav Kulkarni Alaap Kumizhi Veetil Manjunatha Kempasiddaiah Sasidhar Balappa Somappa R.Geetha Balakrishna Siddappa A.Patil Centre for Nano and Material Sciences Jain UniversityJain Global CampusBangalore 562112India Organic Chemistry Section Chemical Sciences&Technology DivisionNational Institute for Interdisciplinary Science and Technology(CSIR)Thiruvananthapuram 695019India

The current work describes the synthesis of a new bio-waste derived cellulosic-carbon supportedpalladium nanoparticles enriched magnetic nanocatalyst(Pd/Fe_(3)O_(4)@C)using a simple multi-step process under aerobic *** mild reaction conditions,the Pd/Fe_(3)O_(4)@C magnetic nanocatalyst demonstrated excellent catalytic activity in the Hiyama cross-coupling reaction for a variety of ***,the Pd/Fe_(3)O_(4)@C magnetic nanocatalyst exhibited excellent catalytic activity up to five recycles without significant catalytic activity loss in the Hiyama cross-coupling ***,we explored the use of Pd/Fe_(3)O_(4)@C magnetic nanocatalyst as an electrocatalyst for hydrogen evolution ***,the Pd/Fe_(3)O_(4)@C magnetic nanocatalyst exhibited better electrochemical activity compared to bare carbon and magnetite(Fe_(3)O_(4)nanoparticles)with an overpotential of 293 mV at a current density of 10 mA·cm^(–2).

关键词： bio-waste cellulosic-carbon Pd/Fe_(3)O_(4) Hiyama cross-coupling hydrogen evolution reaction recyclability

Machine-learning based landslide susceptibility modelling with emphasis on uncertainty analysis

在线全文

学校读者我要写书评

暂无评论

Geoscience Frontiers 2023年第6期14卷 327-340页

作者： A.L.Achu C.D.Aju Mariano Di Napoli pranav Prakash Girish Gopinath E.Shaji Vinod Chandra Department of Climate Variability and Aquatic Ecosystems Kerala University of Fisheries and Ocean Studies(KUFOS)KochiKerala 682508India Department of Geology University of KeralaThiruvananthapuramKerala 695581India Department of Earth Environment and Life SciencesUniversity of GenoaCorso Europa26Genoa 16132Italy Department of Computer Science University of KeralaThiruvananthapuramKerala 695581India

Landslide susceptibility maps are vital tools used by decision-makers to adopt mitigation strategies for future *** this context,research on landslide susceptibility modelling has become a topic of relevance and is in constant *** various machine-learning techniques(MLTs)have been identified for landslide susceptibility modelling,the uncertainty inherent in the models is rarely *** present study attempts to quantify the uncertainty associated with landslide prediction models by developing a new methodological framework based on the ensembles of the eight *** methodology has been tested at the highlands of the southern Western Ghats region(Kerala,India),where landslides have frequently been *** landslide conditioning factors have been identified as part of this study,and their association was correlated with 671 historic landslides in the study *** study used four ensemble models such as the mean of probabilities,the median of probabilities,the weighted mean of probabilities,and the committee *** weighted mean of probability was proved to be the best model based on the average of 800 standalone MLTs,viz.,receiver operating characteristics,true skill statistics,and area under curve with corresponding validation ***,an uncertainty analysis was carried out on the coefficient of variation.A confident map was generated to represent the distinct zonation of landslide susceptibility areas with definite uncertainty *** 74%of the past landslides fall in the higher susceptibility-low uncertainty *** is also inferred that such micro-level zonation based on MLTs may improve the efficiency of landslide susceptibility maps and may help in accurately identifying landslide-prone areas in the *** confident maps thus generated can be used as a ready reference to the planners for the formulation of landslide adaptation strategies at micro-scales.

关键词： Landslides Machine-learning Ensemble model Kerala India

High performance 20 nm GaSb/InAs junctionless tunnel field effect transistor for low power supply

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Journal of Semiconductors 2015年第2期36卷 56-61页

作者： pranav Kumar Asthana Department of Electrical Engineering Indian Institute of Technology Kanpur

We present a GaSb/In As junctionless tunnel FET and investigate its static device characteristics. The proposed structure presents tremendous performance at a very low supply voltage of 0.4 V. The key idea is to the present device architecture, which can be exploited as a digital switching device for sub 20 nm *** simulations resulted in an IOFF of 8×10^-17A/ m, ION of 9 A/ m, ION/IOFF of 1×10^11,subthreshold slope of 9.33 m V/dec and DIBL of 87 m V/V for GaSb/InAs JLTFET at a temperature of 300 K,gate length of 20 nm, HfO2 gate dielectric thickness of 2 nm, film thickness of 10 nm, low-k spacer thickness of 10 nm and VDD of 0.4 V.

关键词： band tunneling (BTBT) tunnel field effect transistor (TFET) junctionless tunnel field effect transistor(JLTFET) ION/IOFF ratio low power digital switching