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Synergy of remotely sensed data in spatiotemporal dynamic modeling of the crop and cover management factor

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Pedosphere 2022年第3期32卷 381-392页

作者： Pooja P.preetha Ashraf Z.AL-HAMDAN Department of Civil Engineering Alabama A&M University4900 Meridian Street NHuntsvilleAL 35811-7500(USA) Department of Civil and Environmental Engineering University of Alabama in Huntsville301 Sparkman DriveHuntsvilleAL 35899-7500(USA)

Soil erosion is a threat to the water quality constituents of sediments and nutrients and can cause long-term environmental *** important parameter to quantify the risk of soil loss from erosion is the crop and cover management factor(C-factor),which represents how cropping and management practices affect the rates and potential risk of soil *** developed remotely sensed data-driven models for dynamic predictions of C-factor by implementing dynamic land cover modeling using the SWAT(Soil and Water Assessment Tool)model on a watershed *** remotely sensed processed variables included the enhanced vegetation index(EVI),the fraction of photosynthetically active radiation absorbed by green vegetation(FPAR),leaf area index(LAI),soil available water content(AWC),slope gradient(SG),and ratio of area(AR)of every hydrologic response unit(HRU)to that of the total watershed,comprising unique land cover,soil type,and slope gradient characteristics within the Fish River catchment in Alabama,USA between 2001 and *** regressions,spatial trend analysis,correlation matrices,forward stepwise multivariable regression(FSMR),and 2-fold cross-validation were conducted to evaluate whether there were possible associations between the C-factor and EVI with the successive addition of remotely sensed environmental *** on the data analysis and modeling,we found a significant association between the C-factor and EVI with the synergy of the environmental factors FPAR,LAI,AWC,AR,and SG(predicted R^(2)(R^(2)_(pred))=0.51;R^(2)=0.68,n=3220,P<0.15).The results showed that the developed FSMR model constituting the non-conventional factors AWC(R^(2)_(pred)=0.32;R^(2)=0.48,n=3220,P<0.05)and FPAR(R^(2)_(pred)=0.13;R^(2)=0.28,n=3220,P=0.31)was an improved fit for the watershed *** conclusion,the union of dynamic variables related to vegetation(EVI,FPAR,and LAI),soil(AWC),and topography(AR and SG)can be utilized for spatiotemporal C-factor estimation and to mo

关键词： C-factor enhanced vegetation index land cover modeling remote sensing soil erosion soil moisture solar radiation

Anomaly Detection and Classification in Streaming PMU Data in Smart Grids

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Computer Systems Science & Engineering 2023年第9期46卷 3387-3401页

作者： A.L.Amutha R.Annie Uthra J.preetha Roselyn R.Golda Brunet Department of Computational Intelligence SRM Institute of Science and TechnologyChennai603203India Department of Electrical and Electronics Engineering SRM Institute of Science and TechnologyChennai603203India Department of Computer Science and Engineering Government College of EngineeringSalem636011India

The invention of Phasor Measurement Units(PMUs)produce synchronized phasor measurements with high resolution real time monitoring and control of power system in smart grids that make *** are used in transmitting data to Phasor Data Concentrators(PDC)placed in control centers for monitoring purpose.A primary concern of system operators in control centers is maintaining safe and efficient operation of the power *** can be achieved by continuous monitoring of the PMU data that contains both normal and abnormal *** normal data indicates the normal behavior of the grid whereas the abnormal data indicates fault or abnormal conditions in power *** a result,detecting anomalies/abnormal conditions in the fast flowing PMU data that reflects the status of the power system is critical.A novel methodology for detecting and categorizing abnormalities in streaming PMU data is presented in this *** proposed method consists of three modules namely,offline Gaussian Mixture Model(GMM),online GMM for identifying anomalies and clustering ensemble model for classifying the *** significant features of the proposed method are detecting anomalies while taking into account of multivariate nature of the PMU dataset,adapting to concept drift in the flowing PMU data without retraining the existing model unnecessarily and classifying the *** proposed model is implemented in Python and the testing results prove that the proposed model is well suited for detection and classification of anomalies on the fly.

关键词： Smart Grid PMU data incremental learning classifying anomalies artificial intelligence

Cervical Diseases Prediction Using LHVR Techniques

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Computer Systems Science & Engineering 2021年第3期36卷 477-484页

作者： Praveena Rajasekaran preetha Jaganathan Anjali Annadurai Muthayammal Engineering College KakaveriRasipuram637408India

The stabilizing mechanisms of cervical spine spondylosis are involved in the degenerating segmentation vertebra,which often causes *** of the individual is affected,both physically and *** to depression,nervous-ness,and psychological damages occur thereby losing their human activity *** nucleus pulposus of spinal disc herniation is prolapsed through a deﬁciency of annulusﬁbrosus.A jelly-like core part of the disc contains proteins that cause the tissues to become swollen when it touches the nucleus *** proposed Gradient Linear Classiﬁcation(GLC)algorithm is used for the efﬁ-cient automatic classiﬁcation of disc degeneration herniation of Inter vertebral/vertebra in a cervical *** between the disc degeneration is classiﬁed through gradient operator and is estimated using the rotation of angles between the *** of the orthopedic spine are searching for high-preci-sion algorithms,which are achieved using proposed Linear Hybrid Vertebra Regression(LHVR)diagnostic techniques to identify the degree of cervical disc degeneration using an accurate *** experimental results have been used to determine a high range of classiﬁcation in predicting the spinal cord which saves handling time and accomplishes high accuracy in detection.

关键词： Cervical diseases GLC LHVR disc prediction classify disc degeneration

Topology control of tactical wireless sensor networks using energy efficient zone routing

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Digital Communications and Networks 2016年第1期2卷 1-14页

作者： preetha Thulasiraman Kevin A. White Department of Electrical and Computer Engineering Naval Postgraduate School 833 Dyer Road Spanagel Hall Rm 448C Monterey CA 93940 USA

The US Department of Defense (DoD) routinely uses wireless sensor networks (WSNs) for military tactical communications. Sensor node die-out has a significant impact on the topology of a tactical WSN. This is problematic for military applications where situational data is critical to tactical decision making. To increase the amount of time all sensor nodes remain active within the network and to control the network topology tactically, energy efficient routing mechanisms must be employed. In this paper, we aim to provide realistic insights on the practical advantages and disadvantages of using established routing techniques for tactical WSNs. We investigate the following established routing algorithms: direct routing, minimum transmission energy (MTE), Low Energy Adaptive Cluster Head routing (LEACH), and zone clustering. Based on the node die out statistics observed with these algorithms and the topological impact the node die outs have on the network, we develop a novel, energy efficient zone clustering algorithm called EZone. Via extensive simulations using MATLAB, we analyze the effectiveness of these algorithms on network performance for single and multiple gateway scenarios and show that the EZone algorithm tactically controls the topology of the network, thereby maintaining significant service area coverage when compared to the other routing algorithms.

关键词： Routing Energy efficiency Wireless sensor networks Zones Topology control

Clinical Efficacy of Inhaled Nitric Oxide in Preventing the Progression of Moderate to Severe COVID-19 and Its Correlation to Viral Clearance:Results of a Pilot Study

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Infectious Microbes & Diseases 2022年第1期4卷 26-33页

作者： Merlin Moni Thushara Madathil Dipu T.Sathyapalan Veena Menon Georg Gutjahr Fabia Edathadathil Deepthi Sureshkumar preetha Prasanna Soumya Jose Roshni Jerome Ajai Krishnan Indulekha C.L.Pillai Geetha Kumar Bipin Nair Victor Nizet Aveek Jayant Department of Medicine Division of Infectious DiseasesAmrita Institute of Medical ScienceAmrita Vishwa VidyapeethamKochiKeralaIndia Department of Cardiac Anaesthesiology Amrita Institute of Medical ScienceAmrita Vishwa VidyapeethamKochiKeralaIndia Clinical Virology Laboratory Amrita Institute of Medical SciencesAmrita Vishwa VidyapeethamKochiKeralaIndia Center for Research in Analytics and Technologies for Education(CREATE) Amrita Vishwa VidyapeethamAmritapuriKollamKeralaIndia Department of Infection Control and Epidemiology Amrita Institute of Medical ScienceAmrita Vishwa VidyapeethamKochiKeralaIndia School of Medicine Amrita Institute of Medical ScienceAmrita Vishwa VidyapeethamKochiKeralaIndia School of Biotechnology Amrita Vishwa VidyapeethamAmritapuriKollamKeralaIndia Skaggs School of Pharmacy and Pharmaceutical Sciences University of CaliforniaSan DiegoLa JollaCaliforniaUSA Department of Pediatrics University of CaliforniaSan DiegoLa JollaCaliforniaUSA

Hypoxic patients with coronavirus disease 2019(COVID-19)are at high risk of adverse *** nitric oxide(iNO)has shown anti-viral and immunomodulatory effects in ***,in vivo evidence of efficacy in hypoxic COVID-19 is *** open label feasibility study was conducted at a single referral center in South India and evaluated the effectiveness of repurposed iNO in improving clinical outcomes in COVID-19 and its correlation with viral *** recruited hypoxemic COVID-19 patients and allocated them into treatment(iNO)and control groups(1:1).Viral clearance on day 5 favored the treatment group(100%vs 72%,P<0.01).The speed of viral clearance as adjudged by normalized longitudinal cycle threshold(Ct)values was positively impacted in the treatment *** proportion of patients who attained clinical improvement,defined as a≥2-point change on the World Health Organization ordinal scale,was higher in the iNO cohort(n=11,79%)as compared to the control group(n=4,36%)(odds ratio 6.42,95%confidence interval 1.09–37.73,P=0.032).The proportion of patients progressing to mechanical ventilation in the control group(4/11)was significantly higher than in the treatment group(0/14).The all-cause 28-day mortality was significantly different among the study arms,with 36%(4/11)of the patients dying in the control group while none died in the treatment *** numbers needed to treat to prevent an additional poor outcome of death was estimated to be *** study demonstrates the putative role of repurposed iNO in hypoxemic COVID-19 patients and calls for extended validation.

关键词： nitric oxide COVID-19 antiviral activity WHO ordinal scale

Mapping of QTL for Fiber Length Using Interspecific Gossypium hirsutum × *** F_2 Population

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棉花学报 2008年第S1期20卷 64-页

作者： preetha S RAVEENDRAN T S Centre for Plant Breeding and Genetics Tamilnadu Agricultural University

Cotton occupies a pre-eminent place among cash crops as it guides the destiny of a large section of the farming community as well as that of a flourishing textile *** the yarn manufacturing industry has undergone a te... 详细信息

关键词： G.barbadense F2 Population length Mapping of QTL for Fiber Length Using Interspecific Gossypium hirsutum

Dynamical evolution of Ge quantum dots on Si(111):From island formation to high temperature decay

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Aggregate 2022年第4期3卷 114-120页

作者： Navathej preetha Genesh Fabrizio De Marchi Stefan Heun Stefano Fontana Rachid Belkhou Rahul Purandare Nunzio Motta Anna Sgarlata Massimo Fanfoni Jennifer MacLeod Oliver MacLean Federico Rosei CentreÉnergie Matériaux et TélécommunicationsInstitut National de la Recherche ScientifiqueQuébecCanada NEST Istituto Nanoscienze-CNR and Scuola Normale SuperiorePisaItaly Sincrotrone Trieste SCpA BasovizzaItaly LURE UniversitéParis-SudOrsay CedexFrance School of Chemistry and Physics and Centre for Materials Science Queensland University of TechnologyBrisbaneAustralia Dipartimento di Fisica Universitàdi Roma“Tor Vergata”RomeItaly Key Laboratory of Functional Materials Physics and Chemistry of the Ministry of Education Jilin Normal UniversityChangchunP.R.China

Heteroepitaxial growth is a process of profound fundamental importance as well as an avenue to realize nanostructures such as Ge/Si quantum dots(QDs),with appealing properties for applications in opto-and ***,controlling the Ge/Si QD size,shape,and composition remains a major obstacle to their practical ***,Ge nanostructures on Si(111)were investigated in situ and in real-time by low energy electron microscopy(LEEM),enabling the observation of the transition from wetting layer formation to 3D island growth and *** island size,shape,and distribution depend strongly on the growth *** the deposition temperature increases,the islands become larger and sparser,consistent with Brownian nucleation and capture *** 550◦C,two distinct Ge/Si nanostructures are formed with bright and dark appearances that correspond to flat,atoll-like and tall,faceted islands,*** annealing,the faceted islands increase in size at the expense of the flat ones,indicating that the faceted islands are thermodynamically more *** contrast,triangular islands with uniform morphology are obtained from deposition at 600◦C,suggesting that the growth more closely follows the ideal *** annealing,the islands formed at 600◦C initially show no change in morphology and size and then rupture simultaneously,signaling a homogeneous chemical potential of the *** observations reveal the role of dynamics and energetics in the evolution of Ge/Si QDs,which can serve as a step towards the precise control over the Ge nanostructure size,shape,composition,and distribution on Si(111).

关键词： epitaxial growth GeSi heterostructures low energy electron microscopy

Voltage Stability Constrained Optimal Power Flow Using NSGA-II

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Computational Water, Energy, and Environmental Engineering 2013年第1期2卷 1-8页

作者： Sandeep Panuganti preetha Roselyn John Durairaj Devraj Subhransu Sekhar Dash DEAN (Research) Kalasalingam University Krishnankoil India Department of Electrical and Electronics Engineering Sri RamaswamyMemorialChennai India

Voltage stability has become an important issue in planning and operation of many power systems. This work includes multi-objective evolutionary algorithm techniques such as Genetic Algorithm (GA) and Non-dominated Sorting Genetic Algorithm II (NSGA II) approach for solving Voltage Stability Constrained-Optimal Power Flow (VSC-OPF). Base case generator power output, voltage magnitude of generator buses are taken as the control variables and maximum L-index of load buses is used to specify the voltage stability level of the system. Multi-Objective OPF, formulated as a multi-objective mixed integer nonlinear optimization problem, minimizes fuel cost and minimizes emission of gases, as well as improvement of voltage profile in the system. NSGA-II based OPF-case 1-Two objective-Min Fuel cost and Voltage stability index;case 2-Three objective-Min Fuel cost, Min Emission cost and Voltage stability index. The above method is tested on standard IEEE 30-bus test system and simulation results are done for base case and the two severe contingency cases and also on loaded conditions.

关键词： Voltage Stability Optimal Power Flow Multi Objective Evolutionary Algorithms

Molecular Markers in Improvement of Fiber Quality Traits in Cotton

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棉花学报 2008年第S1期20卷 65-页

作者： RAVEENDRAN T S preetha S RAJESWARI S Centre for Plant Breeding and Genetics Tamil Nadu Agricultural University

Cotton is the worlds leading natural fiber crop,and it is the cornerstone of textile industries *** cotton industry is confronted with problems in cost of production and

关键词： QTLs Molecular Markers in Improvement of Fiber Quality Traits in Cotton