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An Evidence-Based CoCoSo Framework with Double Hierarchy Linguistic Data for Viable Selection of Hydrogen Storage Methods

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Computer Modeling in Engineering & Sciences 2024年第3期138卷 2845-2872页

作者： Raghunathan Krishankumar Dhruva Sundararajan K.S.Ravichandran Edmundas Kazimieras Zavadskas information technology Systems and Analytics Area Indian Institute of Management Bodh GayaBodh GayaBihar824234India Department of Mathematics Amrita School of Physical SciencesAmrita Vishwa VidyapeethamCoimbatore641112India institute of Sustainable Construction Vilnius Gediminas Technical UniversityVilnius10223Lithuania

Hydrogen is the new age alternative energy source to combat energy demand and climate *** of hydrogen is vital for a nation’s *** of literature provide different methods for storing the produced hydrogen,and the rational selection of a viable method is crucial for promoting sustainability and green ***,hydrogen storage is associated with diverse sustainable and circular economy(SCE)*** a result,the authors consider the situation a multi-criteria decision-making(MCDM)*** infer that previous models for hydrogen storage method(HSM)selection(i)do not consider preferences in the natural language form;(ii)weights of experts are not methodically determined;(iii)hesitation of experts during criteria weight assessment is not effectively explored;and(iv)three-stage solution of a suitable selection of HSM is *** by these gaps,in this paper,authors put forward a new integrated framework,which considers double hierarchy linguistic information for rating,criteria importance through inter-criteria correlation(CRITIC)for expert weight calculation,evidence-based Bayesian method for criteria weight estimation,and combined compromise solution(CoCoSo)for ranking *** applicability of the developed framework is testified by using a case example of HSM selection in *** and comparative analysis reveal the merits and limitations of the developed framework.

关键词： Hydrogen storage methods double hierarchy hesitant fuzzy linguistic term set evidence theory CoCoSo method sustainability circular economy

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Simultaneous inversion of permeability,skin and boundary from pressure transient test data in three-dimensional single well reservoir model

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Petroleum Research 2024年第2期9卷 265-272页

作者： Arvind Kumar Lin Liang Keka Ojha Schlumberger India indian institute of technology(ISM) DhanbadIndia

This study presents a novel approach for simultaneous inversion of the key reservoir parameters like horizontal permeability,vertical permeability,skin,and boundary distances for spatial distribution across the grid cells in a 3D single well reservoir model(SWRM).These parameters are first estimated from the standard pressure transient analysis of well test pressure and rate data,which also act as a priori for the inverse problem.A field-worthy layer cake geological model is prepared based on the prior information obtained from pressure transient analysis,followed by a sequential flow simulation of field well test *** simulation results provide the model pressure versus rate data as the synthetic data for this study.A cost function is defined incorporating the well test pressure data and model pressure data,which would determine the *** inversion process is to optimize the spatial distribution of reservoir parameters to minimize the difference between the measured pressure transient data and the modelled one,which is obtained from the multiphase fluid flow simulator that solves the implicit black-oil fluid-flow diffusivity equations at every step.A Gauss-Newton(GN)inversion scheme is used for the *** reliability of inversion results depends on the accuracy of priori reservoir parameters fed to the solver,which can be refined if required through uncertainty parameter optimization(UPO).This approach helps to obtain a faster and reliable update of reservoir parameters in a layer cake homogeneous geomodel,hereby introducing the required *** increases the confidence and reliability of a geomodel,which is further used for various production prediction strategies.

关键词： Well test Pressure transient Inversion Permeability Boundary

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Codimension-2 bifurcation in a discrete predator-prey system with constant yield predator harvesting

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生物数学学报:英文版 2023年第5期16卷 165-191页

作者： Anuraj Singh Vijay Shankar Sharma abv-indian institute of information technology and management Gwalior Madhya PradeshIndia

This work investigates the bifurcation analysis in a discrete-time Leslie-Gower predatorprey model with constant yield predator *** stability analysis for the fixed points of the discretized model is shown *** this study,the model undergoes codimension-1 bifurcation such as fold bifurcation(limit point),flip bifurcation(perioddoubling)and Neimark-Sacker bifurcation at a positive fixed ***,the model exhibits codimension-2 bifurcations,including Bogdanov-Takens bifurcation and generalized fip bifurcation at the fixed *** each bifurcation,by using the critical normal form coefficient method,various critical states are *** validate our analytical findings,the bifurcation curves of fixed points are drawn by using *** system exhibits interesting rich dynamics including limit cycles and ***,it has been shown that the predator harvesting may control the chaos in the system.

关键词： Flip bifurcation Neimark-Sacker bifurcation generalized fip bifurcation Bogdanov-Takens bifurcation harvesting

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VLSI scaling methods and low power CMOS buffer circuit

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Journal of Semiconductors 2013年第9期34卷 92-99页

作者： Vijay Kumar Sharma Manisha Pattanaik Department of information technology ABV-Indian Institute of Information Technology & Management

Device scaling is an important part of the very large scale integration （VLSI） design to boost up the success path of VLSI industry, which results in denser and faster integration of the devices. As technology node moves towards the very deep submicron region, leakage current and circuit reliability become the key issues. Both are increasing with the new technology generation and affecting the performance of the overall logic circuit. The VLSI designers must keep the balance in power dissipation and the circuit＇s performance with scaling of the devices. In this paper, different scaling methods are studied first. These scaling methods are used to identify the effects of those scaling methods on the power dissipation and propagation delay of the CMOS buffer circuit. For mitigating the power dissipation in scaled devices, we have proposed a reliable leakage reduction low power transmission gate （LPTG） approach and tested it on complementary metal oxide semiconductor （CMOS） buffer circuit. All simulation results are taken on HSPICE tool with Berkeley predictive technology model （BPTM） BSIM4 bulk CMOS files. The LPTG CMOS buffer reduces 95.16% power dissipation with 84.20% improvement in figure of merit at 32 nm technology node. Various process, voltage and temperature variations are analyzed for proving the robustness of the proposed approach. Leakage current uncertainty decreases from 0.91 to 0.43 in the CMOS buffer circuit that causes large circuit reliability.

关键词： LPTG buffer power dissipation propagation delay scaling nanoscale CMOS figure of merit

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A Novel Multi-agent Formation Control Law With Collision Avoidance

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IEEE/CAA Journal of Automatica Sinica 2017年第3期4卷 558-568页

作者： Arindam Mondal Laxmidhar Behera Soumya Ranjan Sahoo Anupam Shukla Department of Electrical Engineering Indian Institute of Technology IEEE abv-indian institute of information technology & management

In this paper a stable formation control law that simultaneously ensures collision avoidance has been *** is assumed that the communication graph is undirected and *** proposed formation control law is a combination of the consensus term and the collision avoidance term(CAT).The first order consensus term is derived for the proposed model,while ensuring the Lyapunov *** consensus term creates and maintains the desired formation shape,while the CAT avoids the *** the collision avoidance,the potential function based CAT makes the agents repel from each *** unrestricted repelling magnitude cannot ensure the graph connectivity at the time of collision *** we have proposed a formation control law,which ensures this connectivity even during the collision *** is achieved by the proposed novel adaptive potential *** potential function adapts itself,with the online tuning of the critical variable associated with *** tuning has been done based on the lower bound of the critical variable,which is derived from the proposed connectivity *** efficacy of the proposed scheme has been validated using simulations done based on formations of six and thirty-two agents respectively.

关键词： Consensus collision avoidance formation control graph theory stability

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Spatial Variation and Trend of Extreme Precipitation in Africa during 1981-2019 and Its Projected Changes at the End of 21^st Century

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Journal of Geoscience and Environment Protection 2024年第3期12卷 192-221页

作者： Fabien Habiyakare Tong Jiang Ibrahim Yahaya Daudi Ndabagenga James Kagabo Buda Su School of Atmospheric Sciences Key Laboratory of Meteorological Disaster of Ministry of Education Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters Nanjing University of Information Science and Technology Nanjing China Rwanda Meteorology Agency (Meteo Rwanda) Kigali Rwanda institute for Disaster Risk management/School of Geographical Sciences Nanjing University of Information Science & Technology Nanjing China Department of Geography Gombe State University Gombe State Nigeria

This study comprehensively examines the patterns and regional variation of severe rainfall across the African continent, employing a suite of eight extreme precipitation indices. The analysis extends to the assessment of projected changes in precipitation extremes using five General Circulation Models (GCMs) from Coupled Model Intercomparison Project Phase 6 (CMIP6) under four Shared Socioeconomic Pathways (SSPs) scenarios at the long-term period (2081-2100) of the 21st century. Furthermore, the study investigates potential mechanisms influencing precipitation extremes by correlating extreme precipitation indices with oceanic system indices, specifically Ni?o 3.4 for El Ni?o-Southern Oscillation (ENSO) and Dipole Mode Index (DMI) for the indian Ocean Dipole (IOD). The findings revealed distinct spatial distributions in mean trends of extreme precipitation indices, indicating a tendency toward decreased extreme precipitation in North Africa, Sahel region, Central Africa and the Western part of South Africa. Conversely, West Africa, East Africa and the Eastern part of South Africa exhibit an inclination toward increased extreme precipitation. The changes in precipitation extreme indices indicate a general rise in both the severity and occurrence of extreme precipitation events under all scenarios by the end of the 21st century. Notably, our analysis projects a decrease in consecutive wet days (CWD) in the far-future. Additionally, correlation analysis highlights significant correlation between above or below threshold rainfall fluctuation in East Africa and South Africa with oceanic systems, particularly ENSO and the IOD. Central Africa abnormal precipitation variability is also linked to ENSO with a significant negative correlation. These insights contribute valuable information for understanding and projecting the dynamics of precipitation extreme in Africa, providing a foundation for climate adaptation and mitigation efforts in the region.

关键词： Extreme Precipitation Mann-Kendall Trend Projections Oceanic System Africa

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Modeling and analysis of the transmission dynamics of mosquito-borne disease with environmental temperature fluctuation

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International Journal of Modeling, Simulation, and Scientific Computing 2022年第3期13卷 31-73页

作者： O.P.Misra Joydip Dhar Omprakash Singh Sisodiya School of Mathematics and Allied Sciences Jiwaji University Gwalior 474011M.P.India Department of Applied Sciences abv-indian institute of information technology and management Gwalior 474015 M.P.India

Most of the vector-borne diseases show a clear dependence on seasonal variation,including climate *** this paper,we proposed a nonautonomous mathematical model consisting of a periodic system of nonlinear differential *** the proposed model,the realistic functional forms for the different temperature-dependent parameters are *** autonomous system of the proposed model is also *** nontrivial solution of the autonomous model is locally asymptotically stable if R01 and proved that endemic solution is linearly stable when R0>*** nonautonomous model is shown to have a nontrivial disease-free periodic state,which is globally asymptotically stable whenever temperature-dependent reproduction number is less than *** is observed that a unique positive endemic periodic solution of the nonautonomous system exists only when a temperature-dependent reproduction number greater than unity,which makes for the persistence of the *** simulation has been carried out to support the analytical results and shows the effects of temperature variability in the life span of mosquitoes as well as the persistence of the disease.

关键词： Mosquito-borne disease seasonality temperature-dependent reproduction number periodic steady states

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Analysis of community question-answering issues via machine learning and deep learning:State-of-the-art review

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CAAI Transactions on Intelligence technology 2023年第1期8卷 95-117页

作者： Pradeep Kumar Roy Sunil Saumya Jyoti Prakash Singh Snehasish Banerjee Adnan Gutub Department of Computer Science and Engineering Indian Institute of Information TechnologySuratIndia indian institute of information technology DharwadIndia Department of Computer Science and Engineering National Institute of TechnologyPatnaIndia The York management School University of YorkYorkUK Computer Engineering Department College of Computer&Information SystemsUmm Al-Qura UniversityMakkahSaudi Arabia

Over the last couple of decades,community question-answering sites(CQAs)have been a topic of much academic *** have often leveraged traditional machine learning(ML)and deep learning(DL)to explore the ever-growing volume of content that CQAs *** clarify the current state of the CQA literature that has used ML and DL,this paper reports a systematic literature *** goal is to summarise and synthesise the major themes of CQA research related to(i)questions,(ii)answers and(iii)*** final review included 133 *** research themes include question quality,answer quality,and expert *** terms of dataset,some of the most widely studied platforms include Yahoo!Answers,Stack Exchange and Stack *** scope of most articles was confined to just one platform with few cross-platform *** with ML outnumber those with ***,the use of DL in CQA research is on an upward trajectory.A number of research directions are proposed.

关键词： answer quality community question answering deep learning expert user machine learning question quality

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Hopf bifurcation and chaos in a Leslie–Gower prey–predator model with discrete delays

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International Journal of Biomathematics 2020年第6期13卷 135-161页

作者： Anuraj Singh Preeti Pradeep Malik abv-indian institute of information technology and management Gwalior M.P.India Department of Mathematics University of Petroleum Energy Studies DehradunUttarakhandIndia

In this work,a Leslie–Gower prey-predator model with two discrete delays has been *** positivity,boundedness and persistence of the delayed system have been *** system exhibits the phenomenon of Hopf bifurcation with respect to both *** conditions for occurrence of Hopf bifurcation are obtained for different combinations of *** is shown that delay induces the complexity in the system and brings the periodic oscillations,quasi-periodic oscillations and *** properties of periodic solution have been determined using central manifold and normal form ***,the global stability of the system has been established for different cases of discrete *** numerical computation has also been performed to verify analytical results.

关键词： Discrete delays limit cycle global stability Hopf bifurcation chaotic behavior

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An Effective Density Based Approach to Detect Complex Data Clusters Using Notion of Neighborhood Difference

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International Journal of Automation and computing 2017年第1期14卷 57-67页

作者： S. Nagaraju Manish Kashyap Mahua Bhattachraya Visual information Processing Lab Indian Institute of Information Technology and Management Gwalior India

The density based notion for clustering approach is used widely due to its easy implementation and ability to detect arbitrary shaped clusters in the presence of noisy data points without requiring prior knowledge of the number of clusters to be identified. Density-based spatial clustering of applications with noise （DBSCAN） is the first algorithm proposed in the literature that uses density based notion for cluster detection. Since most of the real data set, today contains feature space of adjacent nested clusters, clearly DBSCAN is not suitable to detect variable adjacent density clusters due to the use of global density parameter neighborhood radius Y,.ad and minimum number of points in neighborhood Np~,. So the efficiency of DBSCAN depends on these initial parameter settings, for DBSCAN to work properly, the neighborhood radius must be less than the distance between two clusters otherwise algorithm merges two clusters and detects them as a single cluster. Through this paper： 1） We have proposed improved version of DBSCAN algorithm to detect clusters of varying density adjacent clusters by using the concept of neighborhood difference and using the notion of density based approach without introducing much additional computational complexity to original DBSCAN algorithm. 2） We validated our experimental results using one of our authors recently proposed space density indexing （SDI） internal cluster measure to demonstrate the quality of proposed clustering method. Also our experimental results suggested that proposed method is effective in detecting variable density adjacent nested clusters.

关键词： Density based clustering neighborhood difference density-based spatial clustering of applications with noise (DBSCAN),space density indexing (SDI) core object.

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