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Impact assessment of the seasonal hydrological loading on geodetic movement and seismicity in Nepal Himalaya using GRACE and GNSS measurements

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Geodesy and Geodynamics 2022年第5期13卷 445-455页

作者： Devendra Shashikant Nagale Suresh kannaujiya Param k.Gautam Ajay k.Taloor Tandrila Sarkar Indian Institute of Remote Sensing ISRODehradunUttarakhand 248001India Wadia Institute of Himalayan Geology DehradunUttarakhand 248001India Department of Remote Sensing and GIS University of JammuJammu 180006India Indian Institute of Technology(Indian School of Mines) Dhanbad 826004India

The Himalayan terrain is an epitome of ongoing convergence and geodetic deformation where both tectonic and non-tectonic forces *** this study,the Gravity Recovery and Climate Experiment(GRACE)and Global Positioning System(GPS)datasets are used to assess the impact of seasonal loading on deformation with seismicity in *** recorded GPS data from 21 Global Navigation Satellite System(GNSS)stations during 2017-2020 are processed with respect to ITRF14 and the Indian reference frame,and the Center for Space Research(CSR)mascon rl06 during 2002-2020 is adopted to estimate the terrestrial water storage(TWS)change over the Ganga-Brahmaputra River *** results indicate that the hydrological loading effect or TWS change shows high negative,high positive,and moderately positive values in pre-monsoon,co-monsoon,and post-monsoon months,*** detrended GPS data of both horizontal and vertical components correlate with the seasonal TWS change using the Pearson correlation coefficient at each GNSS *** addition,the correlation coefficient has been interpolated using inverse distance weighting to investigate the regional TWS influence on geodetic *** the north component,the correlation coefficient ranges from-0.6 to *** the same time,the TWS is positively correlated with geodetic displacement(0.82)in the east component,and the correlation coefficient is negative(-0.69)in the vertical *** negative correlation signifies an inverse relationship between seasonal TWS variation and geodetic *** strain rate is estimated,which shows higher negative values in pre-monsoon than in ***,the effect of seismicity is 47.90%for pre-monsoon,15.97%for co-monsoon,and 17.56%for *** we can infer that the seismicity decreases with the increase of seasonal hydrological ***,the effect of strain is much higher in pre-monsoon than in post-monsoon since the impact of co-monsoon continues to

关键词： Non-tectonic Terrestrial water storage GRACE Strain rate Seismicity

The　Evolution　of　IR　Spectra　of　H_2　Adsorbed　on　ZrO_2　with　Changing　Temperature（298－723k）

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Chinese Chemical Letters 1996年第11期7卷 1051-1053页

作者： Li, W Yin, YQ Hou, rl Zheng, PJ CHINESE ACAD SCI LANZHOU INST CHEM PHYSLANZHOU 730000PEOPLES R CHINA FUDAN UNIV RES CTR ANAL & MEASUREMENTSHANGHAI 200433PEOPLES R CHINA

*** at 1559.0, 1441 .0, 1378 .9, 13603, 1031. 1,981 .4 and 947.3 cm -1 due tovarious types of dissociative adsorption of H2 over ZrO2 with changing temperatore wereobserved by in situ FT-IR spectroscopy.

关键词： ZrO2 Adsorbed Changing H2 Spectra Temperature Evolution IR

Implementation of Hybrid Deep Reinforcement Learning Technique for Speech Signal Classification

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Computer Systems Science & Engineering 2023年第7期46卷 43-56页

作者： R.Gayathri k.Sheela Sobana Rani Department of Electronics and Communication Engineering Sri Ramakrishna Institute of TechnologyCoimbatore641020India Department of Electrical and Electronics Engineering Sri Ramakrishna Institute of TechnologyCoimbatore641020India

Classification of speech signals is a vital part of speech signal processing *** the advent of speech coding and synthesis,the classification of the speech signal is made accurate and *** methods are considered inaccurate due to the uncertainty and diversity of speech signals in the case of real speech signal *** this paper,we use efficient speech signal classification using a series of neural network classifiers with reinforcement learning *** classification of speech signals,the study extracts the essential features from the speech signal using Cepstral *** features are extracted by converting the speech waveform to a parametric representation to obtain a relatively minimized data *** to improve the precision of classification,Generative Adversarial Networks are used and it tends to classify the speech signal after the extraction of features from the speech signal using the cepstral *** classifiers are trained with these features initially and the best classifier is chosen to perform the task of classification on new *** validation of testing sets is evaluated using rl that provides feedback to ***,at the user interface,the signals are played by decoding the signal after being retrieved from the classifier back based on the input *** results are evaluated in the form of accuracy,recall,precision,f-measure,and error rate,where generative adversarial network attains an increased accuracy rate than other methods:Multi-Layer Perceptron,Recurrent Neural Networks,Deep belief Networks,and Convolutional Neural Networks.

关键词： Neural network(NN) reinforcement learning(rl) cepstral coefficient speech signal classification

Route Planning for Autonomous Transmission of Large Sport Utility Vehicle

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Computer Systems Science & Engineering 2023年第4期45卷 659-669页

作者： V.A.Vijayakumar J.Shanthini S.karthik k.Srihari SNS College of Technology Coimbatore641035TamilnaduIndia

The autonomous driving aims at ensuring the vehicle to effectively sense the environment and use proper strategies to navigate the vehicle without the interventions of ***,there exist a prediction of the background scenes and that leads to discontinuity between the predicted and planned *** optimal prediction engine is required that suitably reads the background objects and make optimal *** this paper,the author(s)develop an autonomous model for vehicle driving using ensemble model for large Sport Utility Vehicles(SUVs)that uses three different modules involving(a)recognition model,(b)planning model and(c)prediction *** study develops a direct realization method for an autonomous vehicle *** direct realization method is designed as a behavioral model that incorporates three different modules to ensure optimal autonomous *** behavioral model includes recognition,planning and prediction modules that regulates the input trajectory processing of input video datasets.A deep learning algorithm is used in the proposed approach that helps in the classification of known or unknown objects along the line of *** model is compared with conventional deep learning classifiers in terms of recall rate and root mean square error(RMSE)to estimate its *** results on different traffic environment shows that the Ensemble Convolutional Network Reinforcement Learning(E-CNN-rl)offers increased accuracy of 95.45%,reduced RMSE and increased recall rate than existing Ensemble Convolutional Neural Networks(CNN)and Ensemble Stacked CNN.

关键词： Artificial intelligence information system security and privacy fuzzy modelling deep neural networks machine learning reinforcement learning CNN SUV

Research on Indoor Positioning Technology of WSN based on T-rl Partition Path Model

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Journal of Communications and Information Networks 2024年第3期9卷 219-232页

作者： Wei Wang Xinlin Wang Yutong Liu Yulin Ren Maozhen Li Asoke k.Nandi School of Information and Communication Engineering North University of ChinaTaiyuan 030051China Department of Electronic and Computer Engineering Brunel University LondonUxbridge UB83PHUK

To address the issues of unstable received signal strength indicator(RSSI)and low indoor positioning accuracy caused by walls and obstacles,the propagation conditions of the wireless communication system are categorized into two distinct environments:line-of-sight(LOS)and non-line-of-sight(NLOS).In the LOS environment,the traditional logarithmic path loss model is *** the NLOS environment,the impact of walls on signal transmission is considered,leading to the development of a multi-wall path loss model based on the T-rl method,with improvements made to the key parameter,the Fresnel coefficient *** breakpoint value d=2.3 m in the partitioned model is determined,and the positional coordinates of the unknown nodes are calculated using the trilateration *** results indicate that the T-rl based multi-wall model improves localization accuracy by 47%in NLOS environments compared to the traditional logarithmic path loss *** average localization error using the T-rl partitioned path loss model is 0.7021 m,representing a 55.9%improvement over the logarithmic path loss model and a 16.8%enhancement over the T-rl attenuation multi-wall model,thereby providing better environmental adaptability.

关键词： WSN indoor positioning loss model reflection transmission RSSI

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GAD-7量表精确诊断广泛性焦虑障碍

英国医学杂志中文版 2007年第2期10卷 101-102页

作者： Spitzer rl kroenke k Williams IB JB 苏丹 New York State Psychiatric Institute New York NY USA

问题：广泛性焦虑障碍（GAD）-7量表的诊断精确性如何？方法设计：采用盲法比较GAD-7量表与DSM—Ⅳ中的GAD标准。

关键词：广泛性焦虑障碍量表诊断精确性 GAD DSM

A Continuous Action Space Tree search for INverse desiGn (CASTING) framework for materials discovery

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npj Computational Materials 2023年第1期9卷 500-515页

作者： Suvo Banik Troy Loefller Sukriti Manna Henry Chan Srilok Srinivasan Pierre Darancet Alexander Hexemer Subramanian k.R.S.Sankaranarayanan Center for Nanoscale Materials Argonne National LaboratoryLemontIL 60439USA Department of Mechanical and Industrial Engineering University of IllinoisChicagoIL 60607USA Advanced Light Source(ALS)Division Lawrence Berkeley National LaboratoryBerkeleyCA 94720USA

Material properties share an intrinsic relationship with their structural attributes,making inverse design approaches crucial for discovering new materials with desired *** Learning(rl)approaches are emerging as powerful inverse design tools,often functioning in discrete action *** constrains their application in materials design problems,which involve continuous search ***,we introduce an rl-based framework CASTING(Continuous Action Space Tree Search for inverse design),that employs a decision tree-based Monte Carlo Tree Search(MCTS)algorithm with continuous space adaptation through modified policies and *** representative examples like Silver(Ag)for metals,Carbon(C)for covalent systems,and multicomponent systems such as graphane,boron nitride,and complex correlated oxides,we showcase its accuracy,convergence speed,and scalability in materials discovery and ***,with the inverse design of super-hard Carbon phases,we demonstrate CASTING’s utility in discovering metastable phases tailored to user-defined target properties and preferences.

关键词： Action framework Tree

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挪威高压交联聚乙烯电力电缆的经验

电线电缆 1987年第5期 46-48页

作者： k.Bjφrlφw-Larsen ,孙兆渭

挪威从1967年敷设使用交联聚乙烯电力电缆起,至1980年其电压等级已发展至300kV_o就交联电缆的可靠性而言,证明绝缘击穿和水树形成之间无什么联系.还介绍了交联电缆的设计、制造、附件和敷设.从地下和海底交联电缆的经验证明,它可代替14... 详细信息

挪威从1967年敷设使用交联聚乙烯电力电缆起,至1980年其电压等级已发展至300kV_o就交联电缆的可靠性而言,证明绝缘击穿和水树形成之间无什么联系.还介绍了交联电缆的设计、制造、附件和敷设.从地下和海底交联电缆的经验证明,它可代替145kV以下充油电缆;但对于300kV左右的交联电缆,需进行长期试运行,故在若干年内充油电缆仍将占主导地位.

关键词：交联聚乙烯绝缘电力电缆产品设计制造电线电缆终端连接和敷设

Multi-reward reinforcement learning based development of inter-atomic potential models for silica

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npj Computational Materials 2023年第1期9卷 1059-1071页

作者： Aditya koneru Henry Chan Sukriti Manna Troy D.Loeffler Debdas Dhabal Andressa A.Bertolazzo Valeria Molinero Subramanian k.R.S.Sankaranarayanan Department of Mechanical and Industrial Engineering University of IllinoisChicagoIL 60607USA Center for Nanoscale Materials Argonne National LaboratoryLemontIL 60439USA Department of Chemistry The University of UtahSalt Lake CityUT 84112USA

Silica is an abundant and technologically attractive *** to the structural complexities of silica polymorphs coupled with subtle differences in Si–O bonding characteristics,the development of accurate models to predict the structure,energetics and properties of silica polymorphs remain *** models for silica range from computationally efficient Buckingham formalisms(BkS,CHIk,Soules)to reactive(ReaxFF)and more recent machine-learned potentials that are flexible but computationally ***,we introduce an improved formalism and parameterization of BkS model via a multireward reinforcement learning(rl)using an experimental training *** model concurrently captures the structure,energetics,density,equation of state,and elastic constants of quartz(equilibrium)as well as 20 other metastable silica *** also assess its ability in capturing amorphous properties and highlight the limitations of the BkS-type functional forms in simultaneously capturing crystal and amorphous *** demonstrate ways to improve model flexibility and introduce a flexible formalism,machine-learned ML-BkS,that outperforms existing empirical models and is on-par with the recently developed 50 to 100 times more expensive Gaussian approximation potential(GAP)in capturing the experimental structure and properties of silica polymorphs and amorphous silica.

关键词： amorphous potential attractive