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Cellular & Molecular Immunology 2018年第12期15卷 1074-1076页

作者： mohan s.maddur srini V.Kaveri Jagadeesh Bayry Institut National de la santéet de la Recherche Médicale Paris F-75006France Centre de Recherche des Cordeliers EquipeImmunopathologie et Immunointervention ThérapeutiqueParis F-75006France sorbonne Université Paris F-75006France UniversitéParis Descartes Sorbonne Paris CitéParis F-75006France Present address:Pfizer Inc.Pearl RiverNew YorkNYUSA

Dendritic cells(DCs)are the master regulators of the immune response and engage in constant cross-talk with other immune cells to initiate an appropriate immune *** outcome of cross-talk with various immune cells towards DC functions has been shown to be dependent on the particular subset of cells and their activation *** we show that for human B cells to induce maturation of DCs with an enhanced T-cell stimulatory capacity,B-cell receptor(BCR)signaling is sufficient for memory B-cells,whereas additional CD40 signaling is required for naïve B cells to induce complete activation of DCs.

关键词： activation immune maturation

Grain boundary effect on structural, optical, and electrical properties of sol-gel synthesized Fe-doped snO_(2) nanoparticles

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Chinese Physics B 2021年第4期30卷 555-564页

作者： Archana V Lakshmi mohan Kathirvel P saravanakumar s Department of sciences Amrita School of EngineeringCoimbatoreAmrita Vishwa VidyapeethamIndia Research and Development Center Bharathiar UniversityCoimbatore-641046TamilnaduIndia GRD Center for Materials Research Department of PhysicsP S G College of TechnologyCoimbatore-641004TamilnaduIndia Department of Physics N S S CollegePandalam-689501KeralaIndia

Tin oxide(snO_(2)) and iron-doped tin oxide(sn_(1-x)Fe_(x)O_(2),x=0.05 wt%,0.10 wt%) nanoparticles are synthesized by the simple sol-gel *** structural characterization using x-ray diffraction(XRD) confirms tetragonal rutile phases of the *** variations in lattice parameters and relative intensity with Fe-doping concentration validate the incorporation of iron into the *** compressive strain present in the lattice estimated by using peak profile analysis through using Williamson-Hall plot also exhibits the influence of grain boundary formation in the *** radiative recombination and quenching observed in optical characterization by using photoluminescence spectrum(PL) and the shift in the band gap estimated from UV-visible diffused reflectance spectrum corroborate the grain boundary *** spectrum and the morphological analysis by using a field emission scanning electron microscope(FEsEM) also indicate the formation of grain *** compositional analysis by using energy dispersive x-ray spectrum(EDAX) confirms Fe in the snO_(2) *** conductivity studies exhibit that the impendence increases with doping concentration increasing and the loss factor decreases at high frequencies with doping concentration increasing,which makes the sn_(1-x)Fe_(x)O_(2) a potential candidate for device applications.

关键词： sol-gel compressive strain grain boundary AC conductivity

soft Computing Based Discriminator Model for Glaucoma Diagnosis

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Computer systems science & Engineering 2022年第9期42卷 867-880页

作者： Anisha Rebinth s.mohan Kumar Department of Information science and Engineering NHCEVisvesvaraya Technological UniversityBangaloreIndia Department of Computer science and Engineering Nagarjuna College of Engineering and TechnologyBangaloreIndia

In this study, a Discriminator Model for Glaucoma Diagnosis (DMGD)using soft computing techniques is presented. As the biomedical images such asfundus images are often acquired in high resolution, the Region of Interest (ROI)for glaucoma diagnosis must be selected at first to reduce the complexity of anysystem. The DMGD system uses a series of pre-processing;initial cropping by thegreen channel’s intensity, spatially Weighted Fuzzy C Means (sWFCM), bloodvessel detection and removal by Gaussian Derivative Filters (GDF) and inpaintingalgorithms. Once the ROI has been selected, the numerical features such as colour, spatial domain features from Local Binary Pattern (LBP) and frequencydomain features from LAWs are generated from the corresponding ROI forfurther classification using kernel based support Vector Machine (sVM). TheDMGD system performances are validated using four fundus image databases;ORIGA, RIM-ONE, DRIsHTI-Gs1, and HRF with four different kernels;LinearKernel (LK), Polynomial Kernel (PK), Radial Basis Function (RBFK) kernel,Quadratic Kernel (QK) based sVM classifiers. Results show that the DMGD system classifies the fundus images accurately using the multiple features and kernelbased classifies from the properly segmented ROI.

关键词： Glaucoma support vector classification clustering technique spatial domain and frequency domain features

Optimal and Effective Resource Management in Edge Computing

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Computer systems science & Engineering 2023年第2期44卷 1201-1217页

作者： Darpan Majumder s.mohan Kumar Department of Information science and Engineering New Horizon College of Engineering Research CentreVisvesvaraya Technological University(VTU)BangaloreIndia Department of CsE Nagarjuna College of Engineering and TechnologyBangaloreIndia

Edge computing is a cloud computing extension where physical compu-ters are installed closer to the device to minimize *** task of edge data cen-ters is to include a growing abundance of applications with a small capability in comparison to conventional data *** this framework,Federated Learning was suggested to offer distributed data training strategies by the coordination of many mobile devices for the training of a popular Artiﬁcial Intelligence(AI)model without actually revealing the underlying data,which is signiﬁcantly enhanced in terms of *** learning(FL)is a recently developed decentralized profound learning methodology,where customers train their localized neural network models independently using private data,and then combine a global model on the core server *** models on the edge server use very little time since the edge server is highly *** the amount of time it takes to download data from smartphone users on the edge server has a signiﬁcant impact on the time it takes to complete a single cycle of FL operations.A machine learning strategic planning system that uses FL in conjunction to minimise model training time and total time utilisation,while recognising mobile appliance energy restrictions,is the focus of this *** further speed up integration and reduce the amount of data,it implements an optimization agent for the establishment of optimal aggregation policy and asylum architecture with several employees’shared *** main solutions and lessons learnt along with the prospects are *** show that our method is superior in terms of the effective and elastic use of resources.

关键词： Federated learning machine learning edge computing resource management

skin Lesion Classification system Using shearlets

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Computer systems science & Engineering 2023年第1期44卷 833-844页

作者： s.mohan Kumar T.Kumanan Department of Computer science and Engineering Meenakshi Academy of Higher Education and ResearchChennai600078Tamil NaduIndia

The main cause of skin cancer is the ultraviolet radiation of the *** spreads quickly to other body ***,early diagnosis is required to decrease the mortality rate due to skin *** this study,an automatic system for skin Lesion Classification(sLC)using Non-subsampled shearlet Transform(NssT)based energy features and support Vector Machine(sVM)classifier is ***,the NssT is used for the decomposition of input skin lesion images with different directions like 2,4,8 and *** the NssT’s sub-bands,energy fea-tures are extracted and stored in the feature database for *** classifier is used for the classification of skin lesion *** dermoscopic skin images are obtained from PH^(2) database which comprises of 200 dermoscopic color images with melanocytic *** performances of the sLC system are evaluated using the confusion matrix and Receiver Operating Characteristic(ROC)*** sLC system achieves 96%classification accuracy using NssT’s energy fea-tures obtained from 3^(rd) level with 8-directions.

关键词： skin lesion classification non-subsampled shearlet transform sub-band coefficients energy feature support vector machine

Natural Hazard-Induced Disasters and Production Efficiency:Moving Closer to or Further from the Frontier?

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International Journal of Disaster Risk science 2019年第2期10卷 166-178页

作者： Preeya s.mohan Nekeisha spencer Eric strobl sir Arthur Lewis Institute of social and Economic studies(sALIsEs) University of the West IndiesSt AugustineTrinidad and Tobago University of the West Indies MonaKingstonJamaica University of Bern 3012BernSwitzerland

Production efficiency is a key determinant of economic growth and demonstrates how a country uses its resources by relating the quantity of its inputs to its outputs. When a natural hazard-induced disaster strikes, it has a devastating impact on capital and labor, but at the same time provides an opportunity to upgrade capital and increase labor demand and training opportunities, thereby potentially boosting production efficiency. We studied the impact of natural hazard-induced disasters on countries’ production efficiency, using the case study of hurricanes in the Caribbean. To this end we built a country-specific,time-varying data set of hurricane damage and national output and input indicators for 17 Caribbean countries for the period 1940–2014. Our results, using a stochastic frontier approach, show that there is a short-lived production efficiency boost, and that this can be large for very damaging storms.

关键词： Caribbean Hurricanes Production efficiency

Effect of substrate and Annealing Temperatures on Mechanical Properties of Ti-rich NiTi Films

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Journal of Materials science & Technology 2010年第11期26卷 961-966页

作者： A.Kumar s.K.sharma s.Bysakh s.V.Kamat s.mohan Defence Metallurgical Research Laboratory Department of Instrumentation Indian Institute of Science Central Glass and Ceramics Research Institute

The effect of substrate and annealing temperatures on mechanical properties of Ti-rich NiTi films deposited on si （100） substrates by DC magnetron sputtering was studied by *** films were deposited at two substrate temperatures viz.300 and 400 ℃.NiTi films deposited at 300 ℃ were annealed for 4 h at four different temperatures,i.e.300,400,500 and 600 C whereas films deposited at 400 ℃ were annealed for 4 h at three different temperatures,i.e.400,500 and 600 ℃.The elastic modulus and hardness of the films were found to be the same in the as-deposited as well as annealed conditions for both substrate *** a given substrate temperature,the hardness and elastic modulus were found to remain unchanged as long as the films were ***,both elastic modulus and hardness showed an increase with increasing annealing temperature as the films become *** results were explained on the basis of the change in microstructure of the film with change in annealing temperature.

关键词： NiTi thin film Annealing Nanoindentation

A comprehensive review of DC fault protection methods in HVDC transmission systems

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Protection and Control of Modern Power systems 2021年第1期6卷 1-20页

作者： mohan Muniappan senior Research specialist Center for Future Energy Systems(CFES)Rensselaer Polytechnic Institute(RPI)TroyNew YorkUSA

High voltage direct current (HVDC) transmission is an economical option for transmitting a large amount of power over long distances. Initially, HVDC was developed using thyristor-based current source converters (CsC). With the development of semiconductor devices, a voltage source converter (VsC)-based HVDC system was introduced, and has been widely applied to integrate large-scale renewables and network interconnection. However, the VsC-based HVDC system is vulnerable to DC faults and its protection becomes ever more important with the fast growth in number of installations. In this paper, detailed characteristics of DC faults in the VsC-HVDC system are presented. The DC fault current has a large peak and steady values within a few milliseconds and thus high-speed fault detection and isolation methods are required in an HVDC grid. Therefore, development of the protection scheme for a multi-terminal VsC-based HVDC system is challenging. Various methods have been developed and this paper presents a comprehensive review of the different techniques for DC fault detection, location and isolation in both CsC and VsC-based HVDC transmission systems in two-terminal and multi-terminal network configurations.

关键词： HVDC VsC Multi-terminal DC grid DC fault Fault detection and location Fault isolation

Contrasting Productivity and Redox Potential in Arabian sea and Bay of Bengal

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Journal of Earth science 2014年第2期25卷 366-370页

作者： suhas s shetye Maruthadu sudhakar Rahul mohan Babula Jena National Centre for Antarctic & Ocean Research Ministry of Earth sciences

Understanding the past and present changes is critical for evaluating the future climatic changes. In order to understand the paleoproductivity and depositional environments of Northern In- dian Ocean, two sediment cores were collected, one each from the Arabian sea （lat. 16°51.40′N and long. 71°54.37′E, water depth 803 m） and the Bay of Bengal （lat. 13°05.35′N and long. 91°28.21′E, wa- ter depth 3 054 m）. The surface seawater samples indicate higherpCO2 values in Arabian sea as com- pared to the Bay of Bengal. The sediment organic carbon variations along with sedimentological and other geochemical parameters were studied. sediment organic carbon varied from 0.5%--4.7% and 0.3%-1.22% in Arabian sea and the Bay of Bengal, respectively. In Arabian sea, low productivity, oxic conditions and less intense southwest monsoon prevailed during the deglacial period, whereas productivity has increased from last 16 kyr to the modern age. In the Bay of Bengal, organic carbon decreased from the Last Glacial Maxima （LGM） to the modern age, indicating higher productivity in the past as compared to modern age. Fe was associated with organic carbon in the Bay of Bengal and increased during LGM, showing similar trend to that of organic carbon, indicating that Fe may be the limiting factor for the growth of phytoplankton in the Bay of Bengal in the modern age. In the Bay of Bengal, Mn is enriched during modern age and is depleted during LGM, whereas chromium showed the opposite trend indicating anoxic conditions during the LGM, whereas in Arabian sea the trends are opposite to the Bay of Bengal.

关键词： paleoproductivity geochemical deglacial organic carbon.

Feature selection with Deep Reinforcement Learning for Intrusion Detection system

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Computer systems science & Engineering 2023年第9期46卷 3339-3353页

作者： s.Priya K.Pradeep mohan Kumar Department of Computer science and Engineering SRM Institute of Science and TechnologyRamapuramChennai600089India Department of Computing Technologies SRM Institute of Science and TechnologyKattankulathurChennai603203India

An intrusion detection system(IDs)becomes an important tool for ensuring security in the *** recent times,machine learning(ML)and deep learning(DL)models can be applied for the identification of intrusions over the network *** resolve the security issues,this paper presents a new Binary Butterfly Optimization algorithm based on Feature selection with DRL technique,called BBOFs-DRL for intrusion *** proposed BBOFsDRL model mainly accomplishes the recognition of intrusions in the *** attain this,the BBOFs-DRL model initially designs the BBOFs algorithm based on the traditional butterfly optimization algorithm(BOA)to elect feature ***,DRL model is employed for the proper identification and classification of intrusions that exist in the ***,beetle antenna search(BAs)technique is applied to tune the DRL parameters for enhanced intrusion detection *** ensuring the superior intrusion detection outcomes of the BBOFs-DRL model,a wide-ranging experimental analysis is performed against benchmark *** simulation results reported the supremacy of the BBOFs-DRL model over its recent state of art approaches.

关键词： Intrusion detection security reinforcement learning machine learning feature selection beetle antenna search