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Seasonal Prediction of Indian Summer Monsoon Using WRF: A Dynamical Downscaling Perspective

Open Journal of Modelling and Simulation 2024年第1期12卷 1-32页

作者： manas ranjan mohanty Uma Charan mohanty Department of Atmospheric and Oceanic Sciences University of California Los Angeles USA Centre for Climate Smart Agriculture Siksha O Anusandhan Deemed to Be University Odisha India

Seasonal forecasting of the Indian summer monsoon by dynamically downscaling the CFSv2 output using a high resolution WRF model over the hindcast period of 1982-2008 has been performed in this study. The April start ensemble mean of the CFSv2 has been used to provide the initial and lateral boundary conditions for driving the WRF. The WRF model is integrated from 1st May through 1st October for each monsoon season. The analysis suggests that the WRF exhibits potential skill in improving the rainfall skill as well as the seasonal pattern and minimizes the meteorological errors as compared to the parent CFSv2 model. The rainfall pattern is simulated quite closer to the observation (IMD) in the WRF model over CFSv2 especially over the significant rainfall regions of India such as the Western Ghats and the central India. Probability distributions of the rainfall show that the rainfall is improved with the WRF. However, the WRF simulates copious amounts of rainfall over the eastern coast of India. Surface and upper air meteorological parameters show that the WRF model improves the simulation of the lower level and upper-level winds, MSLP, CAPE and PBL height. The specific humidity profiles show substantial improvement along the vertical column of the atmosphere which can be directly related to the net precipitable water. The CFSv2 underestimates the specific humidity along the vertical which is corrected by the WRF model. Over the Bay of Bengal, the WRF model overestimates the CAPE and specific humidity which may be attributed to the copious amount of rainfall along the eastern coast of India. Residual heating profiles also show that the WRF improves the thermodynamics of the atmosphere over 700 hPa and 400 hPa levels which helps in improving the rainfall simulation. Improvement in the land surface fluxes is also witnessed in the WRF model.

关键词： Dynamical Downscaling Regional and Mesoscale Modeling Diabatic Heating WRF

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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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A REMARK ON LARGE TIME ASYMTOTICS FOR SOLUTIONS OF A NONHOMOGENEOUS VISCOUS BURGERS EQUATION

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Acta Mathematica Scientia 2023年第3期43卷 1323-1332页

作者： manas ranjan SAHOO Satyanarayana ENGU Smriti TIWARI School of Mathematical Sciences National Institute of Science Education and ResearchAn OCC of Homi Bhabha National InstituteBhubaneswarKhurdaOdishaP.O.Jatni752050India Department of Mathematics National Institute of TechnologyWarangalTelangana506004India

The existence, uniqueness and regularity of solutions to the Cauchy problem posed for a nonhomogeneous viscous Burger's equation were shown in Chung, Kim and Slemrod [1] by assuming suitable conditions on initial data. Moreover, they derived the asymptotic behaviour of solutions of the Cauchy problem by imposing additional conditions on initial data. In this article, we obtain the same asymptotic behaviour of solutions to the Cauchy problem without imposing additional condition on initial data.

关键词： modified Bessel functions integral equation large time asymptotics convolution of functions

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A review on recent advancements in biodegradable Mg-Ca alloys

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Journal of Magnesium and Alloys 2022年第8期10卷 2094-2117页

作者： manas ranjan Sahu T.S.Sampath Kumar Uday Chakkingal Department of Metallurgical and Materials Engineering Indian Institute of Technology MadrasChennai 600036India

The binary Mg-Ca alloys are drawing increasing attention as temporary implant materials because of their excellent biocompatibility,biodegradability, and good mechanical properties. However, their applications are limited due to their high degradation rates in the human physiological environment, the consequent release of hydrogen gas, and rapid loss in mechanical properties. Furthermore, biocompatibility depends upon the degradability of the material. Various researchers have demonstrated that these issues can be addressed by control of Ca content, thermo-mechanical processing to obtain suitable microstructures, deposition of surface coatings, etc. In this manuscript, a detailed review of published literature on Mg-Ca alloys is presented. The challenges and future directions of research in this area are also described.

关键词： Mg-Ca alloy Degradation Temporary implant Biocompatibility

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Impacts of soil fertility management on productivity and economics of rice and fodder intercropping systems under rainfed conditions in Odisha,India

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Journal of Integrative Agriculture 2021年第12期20卷 3114-3126页

作者： Dilip Kumar BASTIA Subrat Kumar BEHERA manas ranjan PANDA All India Coordinated Research Project for Dryland Agriculture Odisha University of Agriculture and Technology(OUAT)Phulbani 762001India

Under small and marginal farm conditions,allocation of land exclusively for forages is not ***,integration of forages in existing crop geometry can ensure production of grain and fodder,simultaneously under rainfed *** experiment was conducted to study the effect of different nutrient management practices on rice and fodder intercropping systems under rainfed conditions during *** intercropping system comprised(i)sole rice(R),(ii)rice and cowpea(5:2)(CP)and(iii)rice and ricebean(5:2)(RB)whereas the different nutrient management practices comprised(i)application of farm yard manure(FYM)at 5t ha^(-1)(farmers'practice)(N_(1)),(ii)application of inorganic fertilizer(recommended dose of fertilizer(RDF)of rice,60:30:30 kg ha^(-1) of N:P_(2)O_(5):K_(2)O)(N_(2))and(iii)application of both FYM at 5t ha^(-1) and 50%of RDF inorganic fertilizer(N3).The results of the experiment revealed that the growth attribute such as leaf area was influenced significantly when fodder crops were taken as intercrops because rice plant was getting more nitrogen from soil due to nitrogen fixation of leguminous fodder *** the nutrient management practices,significant differences in leaf area were found beween N2 and and between N_(3)and N_(1)***,regarding total number of effective tillers,significant differences were found neither between nutrient management practices nor between cropping *** rice equivalent yield(REY)based on price(REY_(P))was found to be significantly lower in CP(2615 kg ha^(-1);-6.4%)and RB intercropping systems(2571 kg ha^(-1);-8.0%)than in R monocropping system(2794 kg ha^(-1)).However,the REY based on energy(REY_(E))of CP(2999 kg ha^(-1);+7.3%)and RB(2960 kg ha^(-1);+5.9%)were found to be significantly higher than that of R(2794 kg ha^(-1))irrespective of nutrient management *** different nutrient management practices,the N3 treatment recorded the highest REY_(P)and REY_(E)which was at par with

关键词： rice-based intercropping system fodder cultivation nutrient management rice and cowpea fodder intercropping system rice and ricebean fodder intercropping system

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Hybrid IWD-DE:A Novel Approach to Model Cooperative Navigation Planning for Multi-robot in Unknown Dynamic Environment

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Journal of Bionic Engineering 2019年第2期16卷 235-252页

作者： Degal Chandrasekhar Rao manas ranjan Kabat Pradipta Kumar Das Prabir Kumar Jena Department of Information Technology VSSUTBurlaOdisha 768018India Department of Computer Science&Engineerings VSSUT、Burla Odisha 76801&India Department of Mechanical Engineering VSSUTBurlaOdisha 76801&India

The current study emphasizes inadequacies of earlier research findings on multi-robot navigation and offers a robust approach to guide the robots in an unknown dynamic *** attain the objective,the Intelligent Water Drop(IWD)algorithm is combined with Differential Evolution(DE)in a new conceptual fashion to optimize the navigation path of multiple mobile *** hybrid IWD-DE,basic IWD and DE algorithms are then explored for multi-robot navigation in a dynamic workspace through *** simulation outcomes demonstrate the competency of the proposed method to guide the robot in predicting the nature of the obstacle and to generate an optimal and safe trajectory in a dynamic *** potency of the proposed algorithm is further validated through experimentation with fire bird robot in a real *** outcomes of the simulation and experimentation,by employing IWD-DE algorithm are compared with those of basic IWD and DE *** error estimated for Average Navigation Path Travelled(ANPT),Aggregate Navigation Path Deviation(ANPD)and number of turns between simulation and experimental results by employing IWD-DE is 8.96,9.09,and 11.13,respectively while reaching 16.43,28.61,29.15 for IWD,and 6.66,10.20,14.28 for *** efficiency of the proposed approach is further verified with the state-of-the-art in a dynamic *** outcomes reveal the efficiency and flexibility of the proposed approach in resolving the multi-robot navigation problem as compared to the state-of-the-art in a dynamic workspace.

关键词： multi-robot dynamic environment intelligent water drop differential evolution navigation planning waypoints fire bird robot

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An application of local linear radial basis function neural network for flood prediction

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Journal of Management Analytics 2019年第1期6卷 67-87页

作者： Binaya Kumar Panigrahi Tushar Kumar Nath manas ranjan Senapati Department of Civil Engineering Gandhi Institute of Education and TechnologyBaniatangiKhordhaIndia Department of Civil Engineering Indira Gandhi Institute of TechnologySarangaIndia Department of Information Technology Veer Surendra Sai University of TechnologyBurlaOdishaIndia

Heavy seasonal rain makes waterway flood and is one of the preeminent reason behind *** causes various perils with outcomes including danger to human life,harm to building,streets,misfortune to horticultural fields and bringing about human ***,prediction of flood is of prime importance so as to reduce exposure of people and destruction of *** paper focuses on applying different neural networks approach,*** Perceptron,Radial Basis functional neural network,Local Linear Radial Basis Functional Neural Network and Artificial Neural Network with Whale Optimization to predict flood in terms of rainfall,gauge,area,velocity,pressure,average temperature,average wind speed that are setup through field and lab investigation from the contextual analysis of river“Daya”and“Bhargavi”.It has always been a troublesome undertaking to predict flood as many factors have influence on it although with this neural network models the prediction accuracy can be optimized using back propagation method which is a widely applied over traditional learning method for neural system because of its preeminent learning *** flood prediction system is built with the four models and a comparison is made which provides us the answer to which model is effective for the prediction.

关键词： multilayer perceptron radial basis functional neural network local linear radial basis functional neural network whale optimization

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Gaussian Blur Masked ResNet2.0 Architecture for Diabetic Retinopathy Detection

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Computers, Materials & Continua 2023年第4期75卷 927-942页

作者： Swagata Boruah Archit Dehloo Prajul Gupta manas ranjan Prusty A.Balasundaram School of Electronics Engineering Vellore Institute of TechnologyChennai600127India School of Computer Science and Engineering Vellore Institute of TechnologyChennai600127India Centre for Cyber-Physical Systems Vellore Institute of TechnologyChennai600127India

Diabetic Retinopathy (DR) is a serious hazard that can result inirreversible blindness if not addressed in a timely manner. Hence, numeroustechniques have been proposed for the accurate and timely detection ofthis disease. Out of these, Deep Learning (DL) and Computer Vision (CV)methods for multiclass categorization of color fundus images diagnosed withDiabetic Retinopathy have sparked considerable attention. In this paper,we attempt to develop an extended ResNet152V2 architecture-based DeepLearning model, named ResNet2.0 to aid the timely detection of DR. TheAPTOS-2019 datasetwas used to train the model. This consists of 3662 fundusimages belonging to five different stages of DR: no DR (Class 0), mild DR(Class 1), moderate DR (Class 2), severe DR (Class 3), and proliferativeDR (Class 4). The model was gauged based on ability to detect stage-wiseDR. The images were pre-processed using negative and positive weightedGaussian-based masks as feature engineering to further enhance the qualityof the fundus images by removing the noise and normalizing the images. Upsamplingand data augmentation methods were used to address the skewnessof the original dataset. The proposed model achieved an overall accuracyof 91% and an area under the receiver-operating characteristic curve (AUC)score of 95.1%, outperforming existing Deep Learning models by around 10%.Furthermore, the class-wise F1 score for No DR was 92%, Mild DR was 82%,Moderate DR was 66%, Severe was DR 89% and Proliferative DR was 80%.

关键词： Diabetic retinopathy deep learning transfer learning image processing image classification

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CE-EEN-B0:Contour Extraction Based Extended EfficientNet-B0 for Brain Tumor Classification Using MRI Images

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Computers, Materials & Continua 2023年第3期74卷 5967-5982页

作者： Abishek Mahesh Deeptimaan Banerjee Ahona Saha manas ranjan Prusty A.Balasundaram School of Computer Science and Engineering Vellore Institute of TechnologyChennai600127India Centre for Cyber-Physical Systems Vellore Institute of TechnologyChennai600127India

A brain tumor is the uncharacteristic progression of tissues in the *** are very deadly,and if it is not diagnosed at an early stage,it might shorten the affected patient’s life ***,their classification and detection play a critical role in *** Brain tumor detection is done by biopsy which is quite *** is usually not preferred at an early stage of the *** detection involvesMagneticResonance Imaging(MRI),which is essential for evaluating the *** paper aims to identify and detect brain tumors based on their location in the *** order to achieve this,the paper proposes a model that uses an extended deep Convolutional Neural Network(CNN)named Contour Extraction based Extended EfficientNet-B0(CE-EEN-B0)which is a feed-forward neural network with the efficient net layers;three convolutional layers and max-pooling layers;and finally,the global average pooling *** site of tumors in the brain is one feature that determines its effect on the functioning of an ***,this CNN architecture classifies brain tumors into four categories:No tumor,Pituitary tumor,Meningioma tumor,andGlioma *** network provides an accuracy of 97.24%,a precision of 96.65%,and an F1 score of 96.86%which is better than already existing pre-trained networks and aims to help health professionals to cross-diagnose an MRI *** model will undoubtedly reduce the complications in detection and aid radiologists without taking invasive steps.

关键词： Brain tumor image preprocessing contour extraction disease classification transfer learning

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Text-to-Sketch Synthesis via Adversarial Network

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Computers, Materials & Continua 2023年第7期76卷 915-938页

作者： Jason Elroy Martis Sannidhan Manjaya Shetty manas ranjan Pradhan Usha Desai Biswaranjan Acharya Department of Information Science and Engineering NMAM Institute of Technology(Nitte Deemed to be University)NitteIndia Department of Computer Science and Engineering NMAM Institute of Technology(Nitte Deemed to be University)NitteIndia School of Computing Skyline University CollegeUniversity CitySharjahUAE Department of Electronics and Communication Engineering SR UniversityWarangalTelanganaIndia Department of Computer Engineering–AI&BDA Marwadi UniversityRajkotGujaratIndia

In the past,sketches were a standard technique used for recognizing offenders and have remained a valuable tool for law enforcement and social security ***,relying on eyewitness observations can lead to discrepancies in the depictions of the sketch,depending on the experience and skills of the sketch *** the emergence of modern technologies such as Generative Adversarial Networks(GANs),generating images using verbal and textual cues is now possible,resulting in more accurate sketch *** this study,we propose an adversarial network that generates human facial sketches using such cues provided by an ***,we have introduced an Inverse Gamma Correction Technique to improve the training and enhance the quality of the generated *** evaluate the effectiveness of our proposed method,we conducted experiments and analyzed the results using the inception score and Frechet Inception Distance *** proposed method achieved an overall inception score of 1.438±0.049 and a Frechet Inception Distance of 65.29,outperforming other state-of-the-art techniques.

关键词： Generative adversarial networks inverse gamma correction sketch attributes text-to-sketch synthesis deep learning techniques

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