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Structure and regeneration status of mangrove patches along the estuarine and coastal stretches of Kerala, India

Journal of Forestry research 2019年第2期30卷 507-518页

作者： Grinson George P.Krishnan K.G.Mini S.S.Salim P.ragavan S.Y.Tenjing r.muruganandam S.K.Dubey A.Gopalakrishnan r.Purvaja r.ramesh ICAr-Central Marine Fisheries research Institute National Centre for Sustainable Coastal Management Ministry of EnvironmentForest and Climate Change Department of Aquatic Environment Management Faculty of Fishery Sciences West Bengal University of Animal and Fishery Sciences

This study presents the structural characteristics and regeneration potential of mangrove patches in the estuarine and coastal areas of Kerala, a tropical maritime state in India. Field surveys were carried out at 46 selected sites during August 2015 to May 2016. In each site, the vegetative structure and regeneration status were assessed using the quadrat method. Altogether 219 quadrates were laid out and a total of 13 true mangrove species, belonging to 5 families and 8 genera, were recorded. The total tree density and stand basal area of the study region was1678.08/ha and 20.33 m^2/ha respectively. The low basal areas indicate the reduced structural development in mangroves. Of the 13 tree species, Avicennia constitutes 56%of the total Important Value Index(IVI) and Avicennia officinalis represents 41% of the IVI in Kerala, followed by Avicennia marina(15%), rhizophora mucronata(15%),Sonneratia alba(8%) rhizophora apiculata(7%) and Excoecaria agallocha(7%). The diameter at breast height(DBH) in the study area revealed that 47% of the tree species came under the 1–10 cm DBH class. Total sapling and seedling density in Kerala was 2238.35 and 3232.42 individuals/ha respectively. Density of young plants(seedlings ? saplings) was only 31% greater of tree density and varied from 3–63%, which indicates poor regeneration potential. The Maturity index value(MIV) and complexity index(Ic) value of mangroves were 18.30 and 109.81 respectively. However, the low Ic value(\ 10) observed in seven out of ten coastal districts indicated poor structural development of mangroves in Kerala. Therefore, locationspecific conservation and management measures, guided by the knowledge on spatial distribution and habitat requirements of mangrove varieties should be taken to preserve the mangrove diversity of Kerala.

关键词： Tree density Complexity Quadrat survey Maritime regeneration

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Dynamic Ensemble Multivariate Time Series Forecasting Model for PM2.5

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Computer Systems Science & Engineering 2023年第2期44卷 979-989页

作者： Narendran Sobanapuram muruganandam Umamakeswari Arumugam School of Computing SASTRA UniversityThanjavur613401India

In forecasting real time environmental factors,large data is needed to analyse the pattern behind the data *** pollution is a major threat towards developing countries and it is proliferating every *** methods in time ser-ies prediction and deep learning models to estimate the severity of air *** independent variable contributing towards pollution is necessary to analyse the trend behind the air pollution in that particular *** approach selects multivariate time series and coalesce a real time updatable autoregressive model to forecast Particulate matter(PM)*** perform experimental analysis the data from the Central Pollution Control Board(CPCB)is *** is car-ried out for Chennai with seven locations and estimated PM’s using the weighted ensemble *** method for air pollution prediction unveiled effective and moored performance in long term *** budge with high weighted k-models are used simultaneously and devising an ensemble helps to achieve stable *** time of ensemble decreases with paral-lel processing in each sub *** ensemble model shows high perfor-mance in long term prediction when compared to the traditional time series models like Vector Auto-regression(VAr),Autoregressive Integrated with Mov-ing Average(ArIMA),Autoregressive Moving Average with Extended terms(ArMEX).Evaluation metrics like root Mean Square Error(rMSE),Mean Absolute Error(MAE)and the time to achieve the time series are compared.

关键词： Dynamic transfer ensemble model air pollution time series analysis multivariate analysis

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Experimental verification of chopper fed DC series motor with ANN controller

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Frontiers of Electrical and Electronic Engineering in China 2012年第4期7卷 477-489页

作者： M. muruganandam M. MADHESWArAN Centre for Advanced research Muthayammal Engineering CollegeRasipuram 637408 Tamilnadu India

In this article an artificial neural network （ANN） has been designed for the control of DC series motor through a DC chopper （DC-DC buck converter）. The proportional-integral-derivative （PID）-ANN speed controller controls the motor voltage by controlling the duty cycle of the chopper thereby the motor speed is regulated. The PID-ANN controller performances are analyzed in both steady-state and dynamic operating condition with various set speeds and various load torques. The rise time, maximum overshoot, settling time, steady-state error, and speed drops are taken for comparison with conventional PID controller and existing work. The training samples for the neuron controller are acquired from the conventional PID controller. The PID-ANN controller performances are analyzed in respect of various load torques and various speeds using MATLAB simula-tion. Then the designed controllers were experimentally verified using an NXP 80C51 based microcontroller （P89VSIrD2BN）. It was found that the hybrid PID-ANN controller with DC chopper can have better control compared with conventional PID controller.

关键词： DC series motor proportional-integral-deri-vative (PID) controller artificial neural network (ANN)controller DC chopper speed control MATLAB simulink

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Performance Analysis of Fuzzy Logic Controller Based DC-DC Converter fed DC Series Motor

Performance Analysis of Fuzzy Logic Controller Based DC-DC C...

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2009中国控制与决策会议

作者： M.muruganandam M.Madheswaran Centre for Advanced research Muthayammal Engineering CollegeRasipuramTamilnaduIndia 637408

ISBN: (纸本)9781424427239

＜正＞A fuzzy controller for closed loop control of DC drive fed by DC-DC converter（Chopper） is designed and presented in this *** system has been designed to have two loops with an inner ON/OFF current controller and an outer fuzzy speed *** later is used to change the duty cycle of the converter and thereby,the voltage fed to the DC series motor regulates its *** performance in respect of load variation and speed change has been reported. The performance o f the proposed controller is compared with the reported results and found that the fuzzy based DC-DC drive can have better control.

关键词： -DC-Series Motor fuzzy controller DC-DC Converter speed control

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