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CFD modeling and laboratory studies of dust cleaning efficacy of an efficient four stage non-clogging impingement filter for flooded-bed dust scrubbers

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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

Machine learning inspired workflow to revise field development plan under uncertainty

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Petroleum Exploration and Development 2023年第6期50卷 1455-1465页

作者： LOOMBA ashish kumar BOTECHIA Vinicius Eduardo SCHIOZER Denis José Universidade Estadual de Campinas SP 13084-778Brazil

We present an efficient and risk-informed closed-loop field development (CLFD) workflow for recurrently revising the field development plan (FDP) using the accrued information. To make the process practical, we integrated multiple concepts of machine learning, an intelligent selection process to discard the worst FDP options and a growing set of representative reservoir models. These concepts were combined and used with a cluster-based learning and evolution optimizer to efficiently explore the search space of decision variables. Unlike previous studies, we also added the execution time of the CLFD workflow and worked with more realistic timelines to confirm the utility of a CLFD workflow. To appreciate the importance of data assimilation and new well-logs in a CLFD workflow, we carried out researches at rigorous conditions without a reduction in uncertainty attributes. The proposed CLFD workflow was implemented on a benchmark analogous to a giant field with extensively time-consuming simulation models. The results underscore that an ensemble with as few as 100 scenarios was sufficient to gauge the geological uncertainty, despite working with a giant field with highly heterogeneous characteristics. It is demonstrated that the CLFD workflow can improve the efficiency by over 85% compared to the previously validated workflow. Finally, we present some acute insights and problems related to data assimilation for the practical application of a CLFD workflow.

关键词： field development plan closed-loop field development reservoir model machine learning reservoir uncertainty optimization reservoir simulation efficiency

DNACDS:Cloud IoE big data security and accessing scheme based on DNA cryptography

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Frontiers of Computer Science 2024年第1期18卷 157-170页

作者： ashish SINGH Abhinav kumar Suyel NAMASUDRA School of Computer Engineering KIIT Deemed to be UniversityBhubaneshwar 751024India Department of Computer Science and Engineering Indian Institute of Information Technology SuratSurat 394190India Department of Computer Science and Engineering National Institute of Technology AgartalaAgartala 799046India

The Internet of Everything(IoE)based cloud computing is one of the most prominent areas in the digital big data *** approach allows efficient infrastructure to store and access big real-time data and smart IoE services from the *** IoE-based cloud computing services are located at remote locations without the control of the data *** data owners mostly depend on the untrusted Cloud Service Provider(CSP)and do not know the implemented security *** lack of knowledge about security capabilities and control over data raises several security *** Acid(DNA)computing is a biological concept that can improve the security of IoE big *** IoE big data security scheme consists of the Station-to-Station Key Agreement Protocol(StS KAP)and Feistel cipher *** paper proposed a DNA-based cryptographic scheme and access control model(DNACDS)to solve IoE big data security and access *** experimental results illustrated that DNACDS performs better than other DNA-based security *** theoretical security analysis of the DNACDS shows better resistance capabilities.

关键词： IoE based cloud computing DNA cryptography IoE big data security StS KAP feistel cipher IoE big data access

Hybrid Whale Optimization Algorithm for Resource Optimization in Cloud E-Healthcare Applications

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Computers, Materials & Continua 2022年第6期71卷 5659-5676页

作者： Punit Gupta Sanjit Bhagat Dinesh kumar Saini ashish kumar Mohammad Alahmadi Prakash Chandra Sharma School of Computing&Information Technology Manipal University JaipurJaipur303007India School of Basic Sciences Manipal University JaipurJaipur303007India Department of Software Engineering College of Computer Science and EngineeringUniversity of JeddahJeddah23218Saudi Arabia

In the next generation of computing environment e-health care services depend on cloud *** Cloud computing environment provides a real-time computing environment for e-health care *** these services generate a huge number of computational tasks,real-time computing and comes with a deadline,so conventional cloud optimizationmodels cannot fulfil the task in the least time and within the *** overcome this issue many resource optimization meta-heuristic models are been proposed but these models cannot find a global best solution to complete the task in the least time and manage utilization with the least simulation *** order to overcome existing issues,an artificial neural-inspired whale optimization is proposed to provide a reliable solution for healthcare *** this work,two models are proposed one for reliability estimation and the other is based on whale optimization technique and neural network-based binary *** predictive model enhances the quality of service using performance metrics,makespan,least average task completion time,resource usages cost and utilization of the *** as compared to existing algorithms the proposedANN-WHOalgorithms prove to improve the average start time by 29.3%,average finish time by 29.5%and utilization by 11%.

关键词： Cloud computing whale optimization health care resource optimization

Hunting of hunted:an ensemble modeling approach to evaluate suitable habitats for caracals in India

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Ecological Processes 2022年第1期11卷 744-757页

作者： ashish kumar Jangid Chandra Prakash Singh Jai Singh Parihar Jasbir Singh Chauhan Rajnish kumar Singh Prakash kumar Verma Amritanshu Singh Shantanu Sharma Shekhar Kolipaka Wildlife Institute of India DehradunUttarakhand 248001India Space Applications Centre Indian Space Research OrganisationAhmedabadGujarat 380015India Madhya Pradesh State Forest Department Madhya Pradesh Tiger Foundation SocietyKuno National ParkBhopalMadhya Pradesh 462001India Leo Foundation WageningenThe Netherlands

Background:Large-scale hunting and various anthropogenic pressures in the recent past have pushed the Asiatic caracal(Caracal caracal schmitzi),an elusive medium-sized and locally threatened felid species towards local extinction in *** widely distributed historically,it has been sparsely reported from several regions of central and northern states in India till twentieth ***,the species distribution became confined only to the states of Rajasthan,Gujarat and Madhya Pradesh,which have had reported sightings in the twenty-first *** order to highlight the potentially suitable habitats for Asiatic caracals in India,we targeted forth-filtering of the spatial model ensemble by creating and utilizing the validated and spatially thinned species presence information(n=69)and related ecological variables(aridity,NDVI,precipitation seasonality,temperature seasonality,terrain ruggedness),filtered with anthropological variable(nightlight).Results:Out of eight spatial prediction models,the two most parsimonious models,Random Forest(AUC 0.91)and MaxEnt(AUC 0.89)were weighted and *** ensemble model indicated several clustered habitats,covering 1207.83 km^(2)areas in Kachchh(Gujarat),Aravalli mountains(Rajasthan),Malwa plateau(Rajasthan and Madhya Pradesh),and Bundelkhand region(Madhya Pradesh)as potentially suitable habitats for *** probabilities of pixels were further regressed with converted vegetation height data within selected highly potential habitats,i.e.,Ranthambore Kuno Landscape(RKL)(suitability~0.44+0.03(vegetation height)^(**),R^(2)=0.27).The regression model inferred a significant positive relation between vegetation height and habitat suitability,hence the lowest ordinal class out of three classes of converted vegetation height was masked out from the RKL,which yielded in an area of 567 km^(2) as potentially highly suitable habitats for caracals,which can be further proposed as survey areas and conservation priority are

关键词： Medium-sized cat Caracal caracal schmitzi Potentially suitable habitat Drylands Potential survey area

Influence of tool rotational speed on mechanical and corrosion behaviour of friction stir processed AZ31/Al_(2)O_(3)nanocomposite

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镁合金学报(英文) 2023年第7期11卷 2585-2599页

作者： ashish kumar V.P.Singh Akhileshwar Nirala R.C.Singh Rajiv Chaudhary Abdel-Hamid I.Mourad B.K.Sahoo Deepak kumar Department of Mechanical Engineering Delhi Technological UniversityDelhi 110042India Department of Mechanical Engineering Galgotias College of Engineering and Technology Greater Noida 201310India Department of Mechanical Engineering National Institute of Technology MizoramAizawl 796012India Department of Mechanical Engineering IES College of Technology Bhopal462044India Mechanical and Aerospace Engineering Department College of EngineeringUnited Arab Emirates UniversityAl-Ain 15551United Arab Emirates Materials Engineering Division CSIR-National Metallurgical Laboratory(NML)Jamshedpur831007India Department of Mechanical Engineering Carnegie Mellon UniversityPittsburghPA 15213USA

Nano-sized reinforcements improved the mechanical characteristics efficiently by promoting more implicit particle hardening mechanisms compared to micron-sized ***-sized particles lessen the critical particle solidification velocity for swamp and thus offers better *** the present investigation,the friction stir processing(FSP)is utilized to produce AZ31/Al_(2)O_(3)nanocomposites at various tool rotation speeds(i.e.,900,1200,and 1500 rpm)with an optimized 1.5%volume alumina(Al_(2)O_(3))reinforcement *** mechanical and corrosion behavior of AZ31/Al_(2)O_(3)-developed nanocomposites was investigated and compared with that of the AZ31 base *** AZ31 alloy experienced a comprehensive dynamic recrystallization during FSP,causing substantial grain ***-size strengthening is the primary factor contributed to the enhancement in the strength of the fabricated *** strength and yield strength values were lower than those for the base metal matrix,although an upward trend in both values has been observed with an increase in tool rotation *** 19.72%increase in hardness along with superior corrosion resistance was achieved compared to the base alloy at a tool rotational speed of 1500 *** corrosion currents(Jcorr)of all samples dropped with increase in the rotational speed,in contrast to the corrosion potentials(Ecorr),which *** values of Jcorr of AZ31/Al_(2)O_(3)were 42.3%,56.8%,and 65.5%lower than those of AZ31 alloy at the chosen rotating speeds of 900,1200,and 1500 rpm,*** corrosion behavior of friction stir processed nanocomposites have been addressed in this manuscript which has not been given sufficient attention in the existing ***,this work offers an effective choice for the quality assurance of the FSP process of AZ31/Al_(2)O_(3)*** obtained results are relevant to the development of lightweight automobile and aerospace structures and components

关键词： Friction stir processing AZ31 alloy Al_(2)O_(3) Nanocomposite Mechanical properties Corrosion resistance

Tracking Control of Uncertain Nonlinear Systems With Unknown Constant Input Delay

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IEEE/CAA Journal of Automatica Sinica 2020年第2期7卷 420-425页

作者： ashish kumar Jain Shubhendu Bhasin Department of Electrical Engineering Indian Institute of Technology DelhiNew Delhi-110016India

A robust delay compensator has been developed for a class of uncertain nonlinear systems with an unknown constant input *** control law consists of feedback terms based on the integral of past control values and a novel filtered tracking error,capable of compensating for input *** Lyapunov-Krasovskii functionals are used to prove global uniformly ultimately bounded(GUUB)tracking,provided certain sufficient gain conditions,dependent on the bound of the delay,are *** results illustrate the performance and robustness of the controller for different values of input delay.

关键词： Global uniformly ultimately bounded stability Lyapunov-Krasovskii functionals nonlinear systems tracking control unknown input delay

A Local Contrast Fusion Based 3D Otsu Algorithm for Multilevel Image Segmentation

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IEEE/CAA Journal of Automatica Sinica 2020年第1期7卷 200-213页

作者： ashish kumar Bhandari Arunangshu Ghosh Immadisetty Vinod kumar Department of Electronics and Communication Engineering National Institute of Technology Patna

To overcome the shortcomings of 1 D and 2 D Otsu’s thresholding techniques, the 3 D Otsu method has been *** all Otsu’s methods, 3 D Otsu technique provides the best threshold values for the multi-level thresholding processes. In this paper, to improve the quality of segmented images, a simple and effective multilevel thresholding method is introduced. The proposed approach focuses on preserving edge detail by computing the 3 D Otsu along the fusion phenomena. The advantages of the presented scheme include higher quality outcomes, better preservation of tiny details and boundaries and reduced execution time with rising threshold levels. The fusion approach depends upon the differences between pixel intensity values within a small local space of an image;it aims to improve localized information after the thresholding process. The fusion of images based on local contrast can improve image segmentation performance by minimizing the loss of local contrast, loss of details and gray-level distributions. Results show that the proposed method yields more promising segmentation results when compared to conventional1 D Otsu, 2 D Otsu and 3 D Otsu methods, as evident from the objective and subjective evaluations.

关键词： Index Terms—1D Otsu 2D Otsu 3D Otsu image fusion local contrast,multi-level image segmentation

基于机器学习的不确定条件下油田开发方案改进方法

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石油勘探与开发 2023年第6期50卷 1268-1277页

作者： LOOMBA ashish kumar BOTECHIA Vinicius Eduardo SCHIOZER Denis José 坎皮纳斯州立大学圣保罗13084778巴西

提出了一种高效的风险导向型闭环油田开发(CLFD)工作流,使用油田开发中获取的数据信息不断改进油田开发方案。该方法整合了机器学习、智能选择和增加代表性油藏模型等手段,将这些手段与基于聚类的学习与进化算法结合,有效发掘决策变量... 详细信息

提出了一种高效的风险导向型闭环油田开发(CLFD)工作流,使用油田开发中获取的数据信息不断改进油田开发方案。该方法整合了机器学习、智能选择和增加代表性油藏模型等手段,将这些手段与基于聚类的学习与进化算法结合,有效发掘决策变量的搜索空间。与以往研究不同,该方法考虑了闭环油田开发工作流的实施时间,使用实际时间线验证闭环油田开发工作流的实用性。为了认识数据同化和新测井数据在闭环油田开发工作流中的重要性,在不确定属性保持不变的苛刻油田条件下开展了研究;利用极为耗时的模拟模型,将闭环油田开发工作流用于特大型油田基准案例分析。研究表明,仅采用100种情景即可对一个强非均质性特大型油田的地质不确定性进行量化评价。与以往方法相比,该方法可以提效85%以上。提出了对闭环油田开发工作流的一些新认识,指出了闭环油田开发工作流在实际应用中存在的与数据同化有关的问题。

关键词：油田开发方案闭环油田开发工作流油藏模型机器学习油藏不确定性