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Discharge water temperature assessment of thermal power plantusing remote sensing techniques

Energy Geoscience 2022年第2期3卷 172-181页

作者： Priyom Roy Ivaturi N.Rao Tapas ranjan Martha K.Vinod Kumar Geosciences Group National Remote Sensing CentreISROHyderabadIndia Environment&Sustainability Coastal Gujarat Power LimitedMundraGujaratInd

Thermal power plants are generally constructed near to sea coast to meet their requirement of coolingwater. The warm water discharge from the thermal power plant is one of the major environmentalconcerns in view of the thermal pollution in the sea water. The temperature limit for the warm waterdischarge from the thermal power plant has to be monitored and controlled. Coastal Gujarat PowerLimited (CGPL) operates (24×7) at an “once-through system” based sea water circulation for powergeneration. The used sea water is then discharged into the sea through an outlet channel. As per environmental norms, the discharge water temperature needs to be maintained below the stipulated “delta”rise (+7 ℃) with respect to ambient sea surface temperature at the inlet. We demonstrate the applicability of thermal remote sensing data in understanding the seasonal and temporal variations of thetemperature difference between the discharge water and the ambient sea water. We used thermal banddata from Landsat-8 satellite imagery to map water surface temperature and create temperature profilesalong the intake and outflow channels (till the sea), to understand the variation of temperature andestimate the “DT” between intake point and various observation points along the outflow. This analysiswas carried out for all 11 months (except June) of the year 2018 to correlate temperature variations withseasonal changes. Tidal conditions during the time of data acquisition were also considered to accountfor the effect of tides on DT. The result shows that the average temperature rise between intake andoutflow are maintained at ~3 ℃ across all the months of 2018, with minor variations in the months ofJuly and August. Further, average temperature drop from outflow to cooling channel (before diaphragm)is seen to be ~2 ℃ across all the months with similar seasonal fluctuations.

关键词： Discharge water Thermal power plant Ambient temperature Landsat 8 Seawater pollution

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Highlighting novel genes associated with the classical Rett syndrome patient from India

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Genes & Diseases 2022年第6期9卷 1394-1396页

作者： Gomathi Mohan ranjan Jyoti Sarma Mahalaxmi Iyer Nachimuthu Senthil Kumar Balachandar Vellingiri UGC-RGNF Senior Research Fellow Human Molecular Cytogenetics and Stem Cell LaboratoryDepartment of Human Genetics and Molecular BiologyBharathiar UniversityCoimbatore 641046Tamil NaduIndia Department of Biotechnology Mizoram University(A Central University)Aizawl 796004MizoramIndia Livestock Farming&Bioresource Technology Tamil NaduIndia Human Molecular Cytogenetics and Stem Cell Laboratory Department of Human Genetics and Molecular BiologyBharathiar UniversityCoimbatore 641046Tamil NaduIndia

Rett syndrome(RTT)is a rare X-linked brain disorder predominantly in females,caused by mutations in Methyl-CpGBinding Protein2(MECP2)gene with the characteristic features of progressive developmental delay,severe intellectual disability,microcephaly,retarded growth,loss of communication abilities,loss of purposeful hand movements,abnormal walking or gait abnormalities,repetitive hand movements,abnormal breathing,irritability and abnormal behaviours.1 Over the last five years,more than eighty genes related to RTT were found using next generation sequencing.2 Here we presented a comprehensive clinical report of a 38-year-old RTT woman having de novo heterozygous Laminin Subunit Gamma 3 gene(LAMC3)mutation G>A(Chr9:133944387;p.C947Y)links with RTT neurological dysfunctions,brain malformations,reduced brain volume and hypoplasia of corpus *** new finding supports the possibility of targeting LAMC3 gene for rescuing the neuropathology of *** deleterious mutations found in genes such as,CACNA1B(rs4422842),CUBN(rs2271460),GPATCH3(rs779537923),TUBB1(rs463312),KCNJ5(rs768906222),VWA5A(rs551469534),DNAAF1(rs751148678),and PARP1(rs3219145)were unreported in RTT patients.

关键词： RTT lighting delay

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Phonon Dispersion for Armchair and Zigzag Carbon Nanotubes

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Graphene 2014年第2期3卷 14-19页

作者： Rasmita sahoo Rashmi ranjan Mishra Department of Physics Birla Institute of Technology and Science Pilani Rajasthan India

In this paper we present calculations of phonon dispersion of different types of single walled carbon nanotubes (SWCNT). In these calculations, the starting point has been the phonon dispersion of graphene. Zone folding scheme is then applied to obtain the phonon dispersion of CNT from that of graphene. Since the radial breathing modes in the phonon dispersion are not obtained by the zone-folding method, certain modifications are made in the lower branches to obtain these modes. These modifications produce results similar to those obtained by more sophisticated ab-initio methods.

关键词： Carbon Nanotubes Zone Folding Phonon Dispersion

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Preventive strategies to innovate Japanese encephalitis control in eastern Uttar Pradesh: Accelerating towards zero incidence

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Asian Pacific Journal of Tropical Medicine 2023年第4期16卷 145-147页

作者： Neha Srivastava Rohit Beniwal Brij ranjan Misra Umaer Alam Hirawati Deval Rajni Kant ICMR-Regional Medical Research Centre GorakhpurUttar PradeshIndia

Japanese Encephalitis(JE)is a zoonotic mosquito-borne viral disease that primarily affects young children under the age of 15[1].Annually,there are more than 50000 clinical cases and JE causes over 10000 fatalities globally[1].In Japan,South Korea,China and Thailand,where it is now under control or almost entirely eradicated,the disease was initially noted to have a high incidence[1].Later,it expanded to Nepal and India,becoming a serious public health issue in rural regions[1].JE is a flavivirus-based neglected tropical disease that is spread by culicine mosquitoes of the Culex(Cx.)tritaeniorhynchus and *** species[2].

关键词： entirely neglected expanded

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Vessels Segmentation in Angiograms Using Convolutional Neural Network: A Deep Learning Based Approach

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Computer Modeling in Engineering & Sciences 2023年第7期136卷 241-255页

作者： Sanjiban Sekhar Roy Ching-Hsien Hsu Akash Samaran ranjan Goyal Arindam Pande Valentina E.Balas School of Computer Science and Engineering Vellore Institute of TechnologyVellore632014India Department of Computer Science and Information Engineering Asia UniversityTaichung41354Taiwan Department of Medical Research China Medical University HospitalChina Medical UniversityTaichung406Taiwan Guangdong-Hong Kong-Macao Joint Laboratory for Intelligent Micro-Nano Optoelectronic Technology School of Mathematics and Big DataFoshan UniversityFoshan528000China Medica Superspecialty Hospital Kolkata700099India Automation and Applied Informatics Aurel Vlaicu University of AradArad310130Romania

Coronary arterydisease(CAD)has become a significant causeof heart attack,especially amongthose 40yearsoldor *** is a need to develop new technologies andmethods to deal with this *** researchers have proposed image processing-based solutions for CADdiagnosis,but achieving highly accurate results for angiogram segmentation is still a *** different types of angiograms are adopted for CAD *** paper proposes an approach for image segmentation using ConvolutionNeuralNetworks(CNN)for diagnosing coronary artery disease to achieve state-of-the-art *** have collected the 2D X-ray images from the hospital,and the proposed model has been applied to *** augmentation has been performed in this research as it’s the most significant task required to be initiated to increase the dataset’s ***,the images have been enhanced using noise removal techniques before being fed to the CNN model for segmentation to achieve high *** the output,different settings of the network architecture undoubtedly have achieved different accuracy,among which the highest accuracy of the model is 97.61%.Compared with the other models,these results have proven to be superior to this proposed method in achieving state-of-the-art results.

关键词： Angiogram convolution neural network coronary artery disease diagnosis of CAD image segmentation

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A Heuristic Algorithm for Core Selection in Multicast Routing

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Journal of Computer Science & Technology 2011年第6期26卷 954-961页

作者： Manas ranjan Kabat Manoj Kumar Patel Chita ranjan Tripathy Department of Computer Science and Engineering Veer Surendra Sai University of Technology

With the development of network multimedia technology, more and more real-time multimedia applications need to transmit information using multicast. The basis of multicast data transmission is to construct a multicast tree. The main problem concerning the construction of a shared multicast tree is selection of a root of the shared tree or the core point. In this paper, we propose a heuristic algorithm for core selection in multicast routing. The proposed algorithm selects core point by considering both delay and inter-destination delay variation. The simulation results show that the proposed algorithm performs better than the existing algorithms in terms of delay variation subject to the end-to-end delay bound. The mathematical time complexity and the execution time of the proposed algorithm are comparable to those of the existing algorithms.

关键词： QoS routing multicast routing delay-variation end-to-end delay

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Enhancement of figure of merit（ZT） by doping Bi in Mg2Si for energy harvesting applications

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Progress in Natural Science:Materials International 2016年第6期26卷 533-539页

作者： Kulwinder Kaur ranjan Kumar Department of Physics Panjab University

Magnesium Silicide is one of the interesting thermoelectric materials known for relative abundance of its constituents, thermal stability, non-toxicity and environmental friendly nature. In this paper we have theoretically studied Bi doped Mg2Si. The electronic structure calculations predict non-existence of the energy gap for Mg2Si1-xBixwith（0.125≤ x≤0.5）. It has been found that the system with x=0.125 exhibits highest Seebeck coefficient and electrical conductivity. Due to low thermal conductivity at x=0.125, Mg2Si0.875Bi0.125attained maximum value of dimensionless figure of merit 0.67 at 1200 K. With increase in concentration of Bi,the value of figure of merit decreases.

关键词： Electrical transport properties Thermoelectric properties Carrier concentration Density functional theory Lattice thermal conductivity Electronic structure

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Effect of pressure on electronic and thermoelectric properties of magnesium silicide: A density functional theory study

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Chinese Physics B 2016年第5期25卷 246-252页

作者： Kulwinder Kaur ranjan Kumar Department of Physics Panjab University

We study the effect of pressure on electronic and thermoelectric properties of Mg_2Si using the density functional theory and Boltzmann transport equations. The variation of lattice constant, band gap, bulk modulus with pressure is also analyzed. Further, the thermoelectric properties（Seebeck coefficient, electrical conductivity, electronic thermal conductivity） have been studied as a function of temperature and pressure up to 1200 K. The results show that Mg_2Si is an n-type semiconductor with a band gap of 0.21 eV. The negative value of the Seebeck coefficient at all pressures indicates that the conduction is due to electrons. With the increase in pressure, the Seebeck coefficient decreases and electrical conductivity increases. It is also seen that, there is practically no effect of pressure on the electronic contribution of thermal *** paper describes the calculation of the lattice thermal conductivity and figure of merit of Mg_2Si at zero pressure. The maximum value of figure of merit is attained 1.83 × 10^（-3） at 1000 K. The obtained results are in good agreement with the available experimental and theoretical results.

关键词： semiconductors effects of pressure electric and thermal conductivity density functional theory

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Unraveling the effect of uniaxial strain on thermoelectric properties of Mg2Si:A density functional theory study

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Chinese Physics B 2017年第6期26卷 301-306页

作者： Kulwinder Kaur ranjan Kumar Department of Physics Pan jab University Chandigarh-160014 India

In this work, the effect of uniaxial strain on electronic and thermoelectric properties of magnesium silicide using density functional theory（DFT） and Boltzmann transport equations has been studied. We have found that the value of band gap increases with tensile strain and decreases with compressive strain. The variations of electrical conductivity,Seebeck coefficient, electronic thermal conductivity, and power factor with temperatures have been calculated. The Seebeck coefficient and power factor are observed to be modified strongly with strain. The value of power factor is found to be higher in comparison with the unstrained structure at 2% tensile strain. We have also calculated phonon dispersion, phonon density of states, specific heat at constant volume, and lattice thermal conductivity of material under uniaxial strain. The phonon properties and lattice thermal conductivity of Mg2Si under uniaxial strain have been explored first time in this report.

关键词： semiconductors thermoelectric and thermo magnetic effects electric and thermal conductivity density functional theory

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Physico-Chemical Analysis of Surface and Groundwater around Talcher Coal Field, District Angul, Odisha, India

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Journal of Geoscience and Environment Protection 2016年第2期4卷 26-37页

作者： Madhusmita sahoo Malaya ranjan Mahananda Prabhati Seth Department of Environmental Sciences Sambalpur University Sambalpur India

The present study deals with the water quality of Talcher Area. Sample was collected from Ghats of river Brahmani, tube well and tap water of different colonies in Monsoon and in Post Monsoon. The collected sample was analysed in P.G Department of Environmental Sciences, Sambalpur University. The parameters studied were DO, pH, Conductivity, Temperature, Sodium, Potassium, Dissolve Oxygen, Total Solid, Chloride, Alkalinity, Hardness, Sulphate, Chemical Oxygen Demand, Nitrate, Phosphate and Fluoride. Water quality index was calculated by using NSF water quality index. Analyzed data were compared with the standard IS: 2296 (Surface Water Quality Standard) and IS: 10500 (Drinking water Quality Standard). The maximum pH of 7.91 ± 0.17 was found at Jagannath Ghat. Maximum average conductivity was found as 559.28 ± 8.92 μS/cm in tube well water of Jagannath colony and minimum was 90.66 ± 1.15 μS/cm in Tarini Ghat. Temperature was maximum 28.5°C ± 0.36°C in tube well water of C.W.S. Colony. The maximum Sodium, Potassium, Chloride, Alkalinity and Nitrate content was recorded as 12.37 ± 1.23, 95.9 ± 7.75, 541.66 ± 2.84 and 24.27 ± 0.61 mg/L respectively in tube well water of Balanda colony. The high dissolved oxygen content was recorded as 7.92 ± 0.34 mg/L in tap water of C.W.S. colony. Maximum hardness value was recorded as 326.69 ± 5.30 mg/L in tube well water of C.W.S. colony. The high value of COD and Sulphate was recorded as 188 ± 8 and 132 ± 5.43 mg/L in tube well water of Jagannath colony. Maximum Phosphate and Fluoride content was recorded as 423.27 ± 2.59 and 664.23 ± 5.03 μg/L respectively in Paschimeswar Ghat. Statistical calculation was subjected to two-way ANOVA and Correlation coefficient.

关键词： DO Temperature Chloride Sulphate Phosphate

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