Coal is the major source of power in India and world over.Coal mining is an essential industry which has a major role in the economic development of the country.Most major mining activities contribute directly or indi...Coal is the major source of power in India and world over.Coal mining is an essential industry which has a major role in the economic development of the country.Most major mining activities contribute directly or indirectly to air pollution.Coal dust is a major air pollutant which affects the personal working in the mines and also people residing in villages near the mines.Air pollution due to coal particulates can affect human health and cause damages to the environment.Hence effective pollution control mechanisms are needed to keep the pollution levels within permissible levels.The easiest and most common method employed for dust suppression worldwide is sprinkling of water.In majority of mines,water sprinklers are operated manually and can lead to wastage of water due to over sprinkling.It can also prove to be ineffective in dust suppression if sprinkling is not done properly.The paper proposes a system which can be deployed to automate the dust suppressions sprinklers.The system will monitor the concentration of PM_(10) and PM_(2.5) in the air and initiate sprinkling operation when the particulate matter content exceeds preconfigured limits.展开更多
This paper presents,a new approach of Medical Image Pixels Clustering(MIPC),aims to trace the dissimilar patterns over the Magnetic Resonance(MR)image through the process of automatically identify the appropriate numb...This paper presents,a new approach of Medical Image Pixels Clustering(MIPC),aims to trace the dissimilar patterns over the Magnetic Resonance(MR)image through the process of automatically identify the appropriate number of distinct clusters based on different improved unsupervised clustering schemes for enrichment,pattern predication and deeper investigation.The proposed MIPC consists of two stages:clustering and validation.In the clustering stage,the MIPC automatically identifies the distinct number of dissimilar clusters over the gray scale MR image based on three different improved unsupervised clustering schemes likely improved Limited Agglomerative Clustering(iLIAC),Dynamic Automatic Agglomerative Clustering(DAAC)and Optimum N-Means(ONM).In the second stage,the performance of MIPC approach is estimated by measuring Intra intimacy and Intra contrast of each individual cluster in the result of MR image based on proposed validation method namely Shreekum Intra Cluster Measure(SICM).Experimental results showthat the MIPC approach is better suited for automatic identification of highly relative dissimilar clusters over the MR cancer images with higher Intra closeness and lower Intra contrast based on improved unsupervised clustering schemes.展开更多
Background:Mangroves are important tropical carbon sinks,and their role in mitigating climate change is well documented across the globe.However,the ecosystem carbon stocks in the mangroves of India have not been stud...Background:Mangroves are important tropical carbon sinks,and their role in mitigating climate change is well documented across the globe.However,the ecosystem carbon stocks in the mangroves of India have not been studied comprehensively.Data from this region is very limited for providing sufficient insights and authentic evaluation of carbon stocks on a regional scale.In this study,we evaluated the ecosystem carbon stock and its spatial variation in mangroves of Kerala,southwest coast of India.Results:The mean biomass stored in mangrove vegetation of Kerala is 117.11±1.02 t/ha(ABG=80.22±0.80,BGB=36.89±0.23 t/ha).Six mangrove species were found distributed in the study area.Among the different species,Avicennia marina had the highest biomass(162.18 t/ha)and least biomass was observed in Sonneratia alba(0.61 t/ha).The mean ecosystem carbon stock of mangrove systems in Kerala was estimated to be 139.82 t/ha,equivalent to 513.13 t CO2 e/ha with the vegetation and soil storing 58.56 t C/ha and 81.26 t C/ha respectively.Conclusion:The present study reveals that Kerala mangroves store sizable volume of carbon and therefore need to be preserved and managed sustainably,to retain along with the increase in carbon storage.This features the need of broadening mangrove cover as well as restoring deteriorated land in the past 50 years.Although mangrove forests in this region are protected by the Kerala Forest Department,they have been frequently facing illegal encroachment,prawn cultivation,and coastal erosion.展开更多
文摘Coal is the major source of power in India and world over.Coal mining is an essential industry which has a major role in the economic development of the country.Most major mining activities contribute directly or indirectly to air pollution.Coal dust is a major air pollutant which affects the personal working in the mines and also people residing in villages near the mines.Air pollution due to coal particulates can affect human health and cause damages to the environment.Hence effective pollution control mechanisms are needed to keep the pollution levels within permissible levels.The easiest and most common method employed for dust suppression worldwide is sprinkling of water.In majority of mines,water sprinklers are operated manually and can lead to wastage of water due to over sprinkling.It can also prove to be ineffective in dust suppression if sprinkling is not done properly.The paper proposes a system which can be deployed to automate the dust suppressions sprinklers.The system will monitor the concentration of PM_(10) and PM_(2.5) in the air and initiate sprinkling operation when the particulate matter content exceeds preconfigured limits.
基金This work is supported by Faculty of Science and Technology,University of the Faroe Islands,Faroe Islands,Denmark and REVA University,Bengaluru.
文摘This paper presents,a new approach of Medical Image Pixels Clustering(MIPC),aims to trace the dissimilar patterns over the Magnetic Resonance(MR)image through the process of automatically identify the appropriate number of distinct clusters based on different improved unsupervised clustering schemes for enrichment,pattern predication and deeper investigation.The proposed MIPC consists of two stages:clustering and validation.In the clustering stage,the MIPC automatically identifies the distinct number of dissimilar clusters over the gray scale MR image based on three different improved unsupervised clustering schemes likely improved Limited Agglomerative Clustering(iLIAC),Dynamic Automatic Agglomerative Clustering(DAAC)and Optimum N-Means(ONM).In the second stage,the performance of MIPC approach is estimated by measuring Intra intimacy and Intra contrast of each individual cluster in the result of MR image based on proposed validation method namely Shreekum Intra Cluster Measure(SICM).Experimental results showthat the MIPC approach is better suited for automatic identification of highly relative dissimilar clusters over the MR cancer images with higher Intra closeness and lower Intra contrast based on improved unsupervised clustering schemes.
基金The Kerala Council for Science,Technology,and Environment(KSCSTE),India,provided the funding for this whole work including surveys and wages.
文摘Background:Mangroves are important tropical carbon sinks,and their role in mitigating climate change is well documented across the globe.However,the ecosystem carbon stocks in the mangroves of India have not been studied comprehensively.Data from this region is very limited for providing sufficient insights and authentic evaluation of carbon stocks on a regional scale.In this study,we evaluated the ecosystem carbon stock and its spatial variation in mangroves of Kerala,southwest coast of India.Results:The mean biomass stored in mangrove vegetation of Kerala is 117.11±1.02 t/ha(ABG=80.22±0.80,BGB=36.89±0.23 t/ha).Six mangrove species were found distributed in the study area.Among the different species,Avicennia marina had the highest biomass(162.18 t/ha)and least biomass was observed in Sonneratia alba(0.61 t/ha).The mean ecosystem carbon stock of mangrove systems in Kerala was estimated to be 139.82 t/ha,equivalent to 513.13 t CO2 e/ha with the vegetation and soil storing 58.56 t C/ha and 81.26 t C/ha respectively.Conclusion:The present study reveals that Kerala mangroves store sizable volume of carbon and therefore need to be preserved and managed sustainably,to retain along with the increase in carbon storage.This features the need of broadening mangrove cover as well as restoring deteriorated land in the past 50 years.Although mangrove forests in this region are protected by the Kerala Forest Department,they have been frequently facing illegal encroachment,prawn cultivation,and coastal erosion.
