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sensitivity of digital elevation models:The scenario from two tropical mountain river basins of the Western Ghats,India

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Geoscience Frontiers 2014年第6期5卷 893-909页

作者： Jobin Thomas sabu Joseph k.P.Thrivikramji k.s.arunkumar Inter University Centre for Geospatial Information science and Technology University of KeralaThiruvananthapuramKeralaIndia Department of Environmental sciences University of KeralaThiruvananthapuramKeralaIndia Department of Geology University of KeralaThiruvananthapuramKeralaIndia Department of Geology MES CollegePonnaniMalappuramKeralaIndia

The paper evaluates sensitivity of various spaceborne digital elevation models （DEMs）, viz., Advanced spaceborne Thermal Emission and Reflection Radiometer （AsTER）, shuttle Radar Topography Mapping Mission （sRTM） and Global Multi-resolution Terrain Elevation Data 2010 （GMTED）, in comparison with the DEM （TOPO） derived from contour data of 20 m interval of survey of India topographic sheets of 1 ： 50,000 scale. several topographic attributes, such as elevation （above mean sea level）, relative relief, slope, aspect, curvature, slope-length and -steepness （Ls） factor, terrain ruggedness index （TRI）, topo- graphic wetness index （TWI）, hypsometric integral （lhyp） and drainage network attributes （stream number and stream length） of two tropical mountain river basins, viz. Muthirapuzha River Basin and Pambar River Basin are compared to evaluate the variations. Though the basins are comparable in extent, they differ in respect of terrain characteristics and climate. The result.,; suggest that AsTER and sRTM provide equally reliable representation of topography portrayed by TOP（） and the topographic attributes extracted from the spaceborne DEMs are in agreement with those derived from TOPO. Despite the coarser resolution, sRTM shows relatively higher vertical accuracy （RMsE -- 23 and 20 m respectively in MRB and PRB） compared to AsTER （RMsE - 33 and 24 m） and GMTED （RMsE - 59 and 48 m）. Vertical accuracy of all the spaceborne DEMs is influenced by relief of the terrain as well as type of vegetation. Further, GMTED shows significant deviation for most of the attributes, indicating its inability for mountain-river-basin-scale studies.

关键词： DEM AsTER sRTM GMTEDTropical mountain river basins Western Ghats

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More on the interplay between gut microbiota,autophagy,and inflammatory bowel disease is needed

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World Journal of Gastroenterology 2024年第27期30卷 3356-3360页

作者： arunkumar subramanian Afrarahamed Jahabardeen Tamilanban Thamaraikani Chitra Vellapandian Department of Pharmacology SRM College of PharmacySRM Institute of Science and TechnologyKattankulathurChennai 603203India

The concept of inflammatory bowel disease(IBD),which encompasses Crohn’s disease and ulcerative colitis,represents a complex and growing global health concern resulting from a multifactorial *** dysfunctional autophagy and dysbiosis contribute to IBD,with their combined effects exacerbating the related inflammatory *** a result,the existing interconnection between gut microbiota,autophagy,and the host’s immune system is a decisive factor in the occurrence of *** factors that influence the gut microbiota and their impact are another important point in this *** on this initial perspective,this manuscript briefly highlighted the intricate interplay between the gut microbiota,autophagy,and IBD *** addition,it also addressed the potential targeting of the microbiota and modulating autophagic pathways for IBD therapy and proposed suggestions for future research within a more specific and expanded *** studies are warranted to explore restoring microbial balance and regulating autophagy mechanisms,which may offer new therapeutic avenues for IBD management and to delve into personalized treatment to alleviate the related burden.

关键词： Inflammatory bowel disease Gut microbiota Autophagy Crohn’s disease Ulcerative colitis

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Robust multifocus deep neural network for progression prediction on patient trajectory data

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International Journal of Intelligent Computing and Cybernetics 2022年第4期15卷 589-598页

作者： k.arunkumar s.Vasundra Department of CsE JNTUAAnanthapuramIndia Department of CsE JNTUACEAAnanthapuramIndia

Purpose-Patient treatment trajectory data are used to predict the outcome of the treatment to particular disease that has been carried out in the *** order to determine the evolving disease on the patient and changes in the health due to treatment has not considered existing *** deep learning models to trajectory data mining can be employed to identify disease prediction with high accuracy and less computation ***/methodology/approach-Multifocus deep neural network classifiers has been utilized to detect the novel disease class and comorbidity class to the changes in the genome pattern of the patient trajectory data can be identified on the layers of the *** is employed to learn extracted feature set with activation and weight function and then merged on many aspects to classify the undetermined sequence of diseases as a new *** performance of disease progression learning progress utilizes the precision of the constituent classifiers,which usually has larger generalization benefits than those optimized ***-Deep learning architecture uses weight function,bias function on input layers and max *** of the input layer has applied to hidden layer to generate the multifocus characteristics of the disease,and multifocus characterized disease is processed in activation function using ReLu function along hyper parameter tuning which produces the effective outcome in the output layer of a fully connected *** results have proved using cross validation that proposed model outperforms methodologies in terms of computation time and ***/value-Proposed evolving classifier represented as a robust architecture on using objective function to map the data sequence into a class distribution of the evolving disease class to the patient ***,the generative output layer of the proposed model produces the progression outcome of the disease of the particular pa

关键词： Patient trajectory data Deep learning representatives Disease evolution Unstructured hierarchical data Cluster reconstruction error

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Optimum Design of stair-Climbing Robots Using Taguchi Method

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Intelligent Automation & soft Computing 2023年第1期35卷 1229-1244页

作者： A.arunkumar s.Ramabalan D.Elayaraja Department of Mechanical Engineering E.G.S.Pillay Engineering CollegeNagapattinamTamilnaduIndia Department of Mechanical Engineering QIS College of Engineering and TechnologyOngoleAndhra PradeshIndia

Environmental issues like pollution are major threats to human *** systems are developed to reduce *** this paper,an optimal mobile robot design to reduce pollution in Green supply chain management *** supply chain management involves as similating environmentally and eco-nomically feasible solutions into the supply chain ***,advanced technologies,and advanced networks are becoming pillars of a sustainable supply chain management *** the same time,there is much change happening in the logistics *** are moving towards a new logistics *** the new model,robotic logistics has a vital *** reasons for this change are the rapid growth of the e-commerce business and the shortage of *** advantages of using robotic logistics are reduction in human errors,faster delivery speed,better customer satisfaction,more safety for workers,and high workforce adaptability.A robot with rocker-bogie suspension is a six-wheeled mobile platform that has a distinctive potential to keep all wheels on the ground *** has been designed to traverse rough and uneven terrain by distributing the load over its wheels ***,there is a limitation to achieving high-speed mobility against vertical *** this research,an optimal design of product delivery wheeled robots for a sustainable supply chain system is proposed to ensure higher adaptability and maximum stability during climbing *** design parameters of the proposed robot are optimized using Taguchi *** aim is to get a smooth trajectory of the robot’s *** proposed approach realizes a robot with much-improved stability which can climb over heights more than the size of the wheel(i.e.,3 times the radius of wheels).The results reveal that the modified rocker-bogie system not only increases the stair-climbing capability but also thwarts instability due to overturning of a wheel of the robot.

关键词： Green supply chain management robotic logistics stair-climbing wheeled mobile robot optimum design rocker-bogie mechanism taguchi method

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secure and Light Weight Elliptic Curve Cipher suites in ssL/TLs

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Computer systems science & Engineering 2022年第1期40卷 179-190页

作者： B.arunkumar G.kousalya Coimbatore Institute of Technology Coimbatore641014India

In the current circumstance,e-commerce through an online banking system plays a significant *** may either buy goods from E-Commerce websites or use online banking to move money to other *** a user participates in these types of behaviors,their sensitive information is sent to an untrust-worthy *** a consequence,when transmitting data from an internal browser to an external E-commerce web server using the cryptographic protocol ssL/TLs,the E-commerce web server ensures the security of the user’s *** user should be pleased with the confidentiality,authentication,and authenticity properties of the ssL/TLs on both the user’s web browser and the remote E-commerce web server.E-Commerce web servers should choose the best ssL/TLs cipher suites for negotiating the user in order to attain such optimistic scenarios,as the cipher suite used in ssL/TLs plays an important role in securing E-Commerce web *** paper primarily focuses on analyzing the ssL/TLs cipher and elliptic *** paper also recommends the best elliptic curve cipher suites for E-Commerce and online banking servers,based on their power consumption,handshake execution time,and key exchange and signature verification time.

关键词： Elliptic curve cipher suites secp256r1 curve25519 ed25519

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Logistic Regression with Elliptical Curve Cryptography to Establish secure IoT

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Computer systems science & Engineering 2023年第6期45卷 2635-2645页

作者： J.R.arunkumar s.Velmurugan Balarengadurai Chinnaiah G.Charulatha M.Ramkumar Prabhu A.Prabhu Chakkaravarthy Department of Information Technology Sree Vidyanikethan Engineering College(Autonomous)TirupatiAndhra PradeshIndia Department of Electronics and Communication Engineering TJS Engineering CollegeKavaraipettaiChennaiTamil NaduIndia Department of Computer science and Engineering Vidyavardhaka College of EngineeringMysuruKarnatakaIndia Department of Electronics and Communication Engineering Peri Institute of TechnologyChennaiTamil NaduIndia Department of Computer science and Engineering Saveetha School of EngineeringSaveetha Institute of Medical and Technical ScienceChennaiTamil NaduIndia

Nowadays,Wireless sensor Network(WsN)is a modern technology with a wide range of applications and greatly attractive benefits,for example,self-governing,low expenditure on execution and data communication,long-term function,and unsupervised access to the *** Internet of Things(IoT)is an attractive,exciting *** applying communication technologies in sensors and supervising features,WsNs have initiated communication between the IoT *** IoT offers access to the highest amount of information collected through WsNs,it leads to privacy management ***,this paper provides a Logistic Regression machine learning with the Elliptical Curve Cryptography technique(LRECC)to establish a secure IoT structure for preventing,detecting,and mitigating *** approach uses the Elliptical Curve Cryptography(ECC)algorithm to generate and distribute security *** algorithm is a light weight key;thus,it minimizes the routing ***,the Logistic Regression machine learning technique selects the transmitter based on intelligent *** main application of this approach is smart *** approach provides continuing reliable routing paths with small *** addition,route nodes cooperate with IoT,and it handles the resources proficiently and minimizes the 29.95%delay.

关键词： Wireless sensor network internet of things security elliptical curve cryptography machine learning regression analysis

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Comparative study on transverse shrinkage, mechanical and metallurgical properties of AA2219 aluminium weld joints prepared by gas tungsten arc and gas metal arc welding processes

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Defence Technology（防务技术） 2015年第3期11卷 262-268页

作者： s.arunkumar P.RANGARAJAN k.DEVAkUMARAN P.sATHIYA Department of Production Engineering National Institute of Technology Welding Research Institute BHEL

Aluminium alloy AA2219 is a high strength alloy belonging to 2000 series. It has been widely used for aerospace applications, especially for construction of cryogenic fuel tank. However, arc welding of AA2219 material is very critical. The major problems that arise in arc welding of AA2219 are the adverse development of residual stresses and the re-distribution as well as dissolution of copper rich phase in the weld *** effects increase with increase in heat input. Thus, special attention was taken to especially thick section welding of AA2219-T87 aluminium alloy. Hence, the present work describes the 25 mm-thick AA2219-T87 aluminium alloy plate butt welded by GTAW and GMAW processes using multi-pass welding procedure in double V groove design. The transverse shrinkage, conventional mechanical and metallurgical properties of both the locations on weld joints were studied. It is observed that the fair copper rich cellular(CRC) network is on side-A of both the weldments. Further, it is noticed that, the severity of weld thermal cycle near to the fusion line of HAZ is reduced due to low heat input in GTAW process which results in non dissolution of copper rich phase. Based on the mechanical and metallurgical properties it is inferred that GTAW process is used to improve the aforementioned characteristics of weld joints in comparison to GMAW process.

关键词：焊接工艺设计铝合金焊接冶金性能横向收缩性能对比金属机械天然气

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Tribological and vibrational characteristics of AIsI 316L tested at elevated temperature and 600 Torr vacuum

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Defence Technology（防务技术） 2019年第1期15卷 58-64页

作者： k.Arul Raj M.P.arunkumar P.k.C.kanigalpula M.karthikeyan Department of Mechanical Engineering Koneru Lakshmaiah Education Foundation Department of Mechanical Engineering RajaRajeswari College of Engineering

Friction and wear studies enable the investigation of material interaction between two sliding surfaces in contact. In the present investigation, the coefficient of friction and the wear resistance of AIsI 316 L parts were studied under self-mating, dry sliding conditions using a pin-on-disc type configuration. The experiments were conducted at vacuum based high temperature pin-on-disc tribometer. The 4 mm diameter pin and 180 mm diameter disc were subjected to varying sliding velocities(0.5, 0.75 and 1.5 m/s) and were operated in 200, 400, 500 and 580 ℃ temperature at 600 Torr vacuum. The variation of specific wear rates with sliding velocities and different environmental conditions was studied. The morphology of sliding/rubbed surfaces was observed using scanning Electron Microscope. In summary, it was found that a severe to mild wear transition occurred in sliding under operating conditions. Increased wear rates have been observed for 500 and 580 ℃ with increasing sliding velocity. Adhesive wear has been found to be predominant at 500 and 580 ℃ where as de-lamination has been observed at ambient temperature,200 and 400 ℃ in vacuum. The present paper also carried out the numerical analysis of the vibration behavior of AIsI 316 L under thermal environment. Results revealed that at high temperature vibrational amplitude and natural frequency is significantly reduced. This can be attributed to the reduction in stiffness of the material at elevated temperatures. This high amplitude vibration during service can lead to high wear rate.

关键词： Pin-on-disc sliding wear Vacuum De-lamination scanning electron microscope Vibration

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Microstructures and mechanical properties of nanocrystalline NiTi intermetallics formed by mechanosynthesis

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International Journal of Minerals,Metallurgy and Materials 2018年第1期25卷 80-87页

作者： s.arunkumar P.kumaravel C.Velmurugan V.senthilkumar Vinayaka Mission's kimpananda Variyar Engineering College Salem 636308TamilnaduIndia Institute of Road and Transport Technology Erode 638316TamilnaduIndia National Institute of Technology Trichy 620015TamilnaduIndia

The formulation of nanocrystallinc NiTi shape memory alloys has potential effects in mechanical stimulation and medical im- plantology. The present work elucidates the effect of milling time on the product＇s structural characteristics, chemical composition, and mi- crohardness for NiTi synthesized by mechanical alloying for different milling durations. Increasing the milling duration led to the formation of a nanocrystalline NiTi intermetallic at a higher level. The formation of nanocrystalline materials was directed through cold fusion, fractur- ing, and the development of a steady state, which were influenced by the accumulation of strain energy. In the morphological study, uninter- rupted cold diffusion and fracturing were visualized using transmission electron microscopy. Particle size analysis revealed that the mean particle size was reduced to -93 μm after 20 h of milling. The mechanical strength was enhanced by the formation of a nanocrystalline in- termetallic phase at longer milling time, which was confirmed by the results of Vickers hardness analyses.

关键词： nickel-titanium shape memory alloy lattice strain nano-crystalline mechanical alloying microstructural characterization

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Room Temperature Ferromagnetism in Dual Doped (Mn^(2+), Ni^(2+)) ZnO Codoped with Li^(1+) Prepared Using EDTA sintered at Low Temperature

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Journal of Materials science & Technology 2014年第3期30卷 275-279页

作者： R.Pugaze A.sivagamasundari D.Vanidha s.Chandrasekar A.arunkumar s.Rajagopan R.kannan Department of Physics Pondicherry Engineering College Department of Chemistry Pondicherry Engineering College

Nanopowders of Znl_x_y_zMnxNiyLizO [（x = 0.04, y = 0, z = 0）, （x = 0.04, y = 0.03, z = 0） and （x = 0.04, y = 0.03, z = 0.03）] have been synthesized by sol-gel precursor route using ethylene diamine tetraacetic acid （EDTA） as a metal chelating agent. X-ray diffraction analysis confirms the formation of wurtzite hexagonal structure for all the three compositions. Mn2＋ doped ZnO exhibits room temperature ferromagnetism （RTFM）, and it is found that further Ni2＋ doping has decreased Ms because of limit of solid solubility of transition metal in ZnO. But codoping of monovalent Li1＋, further increases the ferromagnetism （FM） value, due to introduction of free carriers compared to the dual doped samples. Photoluminescence （PL） spectra of the system, exhibit near band edge （NBE） emission peak at --464 nm due to the electron transition from interstitials to the valence band. Recombination of conduction electron with hole trapped at oxygen vacancy, leads to prominent defect emission peaks at --482 nm and 532 nm. The evidence of the formation of metaI-EDTA complexes are found from the Fourier transform infrared spectra at 2800-3800 cm-1 with shifting, splitting of the peak and also drastic variations in the intensity.

关键词： Mn-doped Dual doped Li codoped Ferromagnetism Photoluminescence Fourier transform infrared (FTIR) spectroscopy

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