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Novel double Modular Redundancy Based Fault-Tolerant FIR Filter for Image denoising

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Computer Systems Science & Engineering 2023年第7期46卷 181-193页

作者： V.S.Vaisakhi d.surendran department of Electronics and Communication Engineering Nehru Institute of Engineering and TechnologyCoimbatore641105India department of Computer Science and Engineering KPR Institute of Engineering and TechnologyCoimbatore641105India

In signal processing and communication systems,digital filters are widely *** some circumstances,the reliability of those systems is crucial,necessitating the use of fault tolerant filter *** strategies have been presented throughout the years to achieve fault tolerance by utilising the structure and properties of the *** technology advances,more complicated systems with several filters become *** of the filters in those complicated systems frequently function in parallel,for example,by applying the same filter to various input ***,a simple strategy for achieving fault tolerance that takes advantage of the availability of parallel filters was *** fault-tolerant ways that take advantage of the filter’s structure and properties have been proposed throughout the *** primary idea is to use structured authentication scan chains to study the internal states of finite impulse response(FIR)components in order to detect and recover the exact state of faulty modules through the state of non-faulty ***,a simple solution of double modular redundancy(dMR)based fault tolerance was developed that takes advantage of the availability of parallel filters for image *** approach is expanded in this short to display how parallel filters can be protected using error correction codes(ECCs)in which each filter is comparable to a bit in a standard ECC.“Advanced error recovery for parallel systems,”the suggested technique,can find and eliminate hidden defects in FIR modules,and also restore the system from multiple failures impacting two FIR *** the implementation,Xilinx ISE 14.7 was found to have given significant error reduction capability in the fault calculations and reduction in the area which reduces the cost of *** were introduced in all the outputs of the functional filters and found that the fault in every output is corrected.

关键词： Fault tolerance filters efficiency redundancy image denoising error correction codes double modular redundancy

Utilization of residual fatty acids in matter organic non-glycerol from a soy biodiesel plant in filaments used for 3d printing

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Journal of Bioresources and Bioproducts 2023年第3期8卷 215-223页

作者： Sreesha Malayil Athira Nair surendran Kunal Kate Jagannadh Satyavolu Conn Center for Renewable Energy Research University of LouisvilleLouisville 40292KYUSA Materials Innovation Guild Department of Mechanical EngineeringUniversity of LouisvilleLouisville 40292KYUSA

Matter organic non-glycerol(MONG)is a considerable waste output(20%−25%of crude glyc-erol)typically landfilled by soy biodiesel *** this work,soy MONG was characterized for potential use as a copolymer to produce filaments for 3d printing with an intent to add value and redirect it from *** a copolymer,MONG was evaluated to reduce the synthetic polymer content of the natural fiber composites(NFC).Even though the general thermal behavior of the MONG was compared to that of a thermoplastic polymer in composite applications,it is depen-dent on the composition of the MONG,which is a variable depending on plant discharge *** order to improve the thermal stability of MONG,we evaluated two pretreatments(acid and acid+peroxide).The acid+peroxide pretreatment resulted in a stabilized paste with decreased soap content,increased crystallinity,low molecular weight small chain fatty acids,and a sta-ble blend as a copolymer with a thermoplastic *** treatment increased formic acid(17.53%)in MONG,along with hydrogen peroxide,led to epoxidation exhibited by the increased concentration of oxirane(5.6%)evaluating treated MONG as a copolymer in polymer processing and 3d printing.

关键词： Matter organic non-glycerol Soy biodiesel waste Polymer composite Epoxidation Soap splitting Fatty acid

deep Learning Based Intelligent Industrial Fault diagnosis Model

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Computers, Materials & Continua 2022年第3期70卷 6323-6338页

作者： R.surendran Osamah Ibrahim Khalaf Carlos Andres Tavera Romero Center for Artificial Intelligence&Research(CAIR) Chennai Institute of TechnologyChennai600069India Al-Nahrain Nanorenewable Energy Research Center Al-Nahrain UniversityBaghdad64074Iraq COMBA I+d Research Group of Universidad Santiago de Cali Santiago de CaliColombia

In the present industrial revolution era,the industrial mechanical system becomes incessantly highly intelligent and ***,it is necessary to develop data-driven and monitoring approaches for achieving quick,trustable,and high-quality analysis in an automated *** diagnosis is an essential process to verify the safety and reliability operations of rotating *** advent of deep learning(dL)methods employed to diagnose faults in rotating machinery by extracting a set of feature vectors from the vibration *** paper presents an Intelligent Industrial Fault diagnosis using Sailfish Optimized Inception with Residual Network(IIFd-SOIR)*** proposed model operates on three major processes namely signal representation,feature extraction,and *** proposed model uses a Continuous Wavelet Transform(CWT)is for preprocessed representation of the original vibration *** addition,Inception with ResNet v2 based feature extraction model is applied to generate high-level ***,the parameter tuning of Inception with the ResNet v2 model is carried out using a sailfish ***,a multilayer perceptron(MLP)is applied as a classification technique to diagnose the faults *** experimentation takes place to ensure the outcome of the presented model on the gearbox dataset and a motor bearing *** experimental outcome indicated that the IIFd-SOIR model has reached a higher average accuracy of 99.6%and 99.64%on the applied gearbox dataset and bearing *** simulation outcome ensured that the proposed model has attained maximum performance over the compared methods.

关键词： Intelligent models fault diagnosis industrial control deep learning feature extraction

Large inter annual variation in air quality during the annual festival ‘diwali' in an Indian megacity

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Journal of Environmental Sciences 2016年第5期28卷 265-272页

作者： Neha Parkhi dilip Chate Sachin d.Ghude Sunil Peshin Anoop Mahajan Reka Srinivas divya surendran Kaushar Ali Siddhartha Singh Hanumant Trimbake Gufran Beig Indian Institute of Tropical Meteorology Pashan Pune India India Meteorological department New delhi India

A network of air quality and weather monitoring stations was established under the System of Air Quality Forecasting and Research（SAFAR） project in delhi. We report observations of ozone（O_3）, nitrogen oxides（NO_x）, carbon monoxide（CO） and particulate matter（PM_2.5and PM_（10）） before, during and after the diwali in two consecutive years, i.e., November 2010 and October 2011. The diwali days are characterised by large firework displays throughout India. The observations show that the background concentrations of particulate matter are between 5 and 10 times the permissible limits in Europe and the United States. during the diwali-2010, the highest observed PM_（10） and PM_2.5mass concentration is as high as2070 μg/m^3 and 1620 μg/m3, respectively（24 hr mean）, which was about 20 and 27 times to National Ambient Air Quality Standards（NAAQS）. For diwali-2011, the increase in PM_（10） and PM_2.5mass concentrations was much less with their peaks of 600 and of 390 μg/m^3 respectively, as compared to the background concentrations. Contrary to previous reports,firework display was not found to strongly influence the NO_x, and O_3 mixing ratios, with the increase within the observed variability in the background. CO mixing ratios showed an increase. We show that the large difference in 2010 and 2011 pollutant concentrations is controlled by weather parameters.

关键词： Particulate pollution Fireworks Trace gases System of Air Quality Forecasting and Research(SAFAR) Air quality diwali

Internet of Things Enabled Energy Aware Metaheuristic Clustering for Real Time disaster Management

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Computer Systems Science & Engineering 2023年第5期45卷 1561-1576页

作者： Riya Kumarasamy Santhanaraj surendran Rajendran Carlos Andres Tavera Romero Sadish Sendil Murugaraj department of Information Technology Vel Tech Multi Tech Dr.Rangarajan Dr.Sakunthala Engineering CollegeChennai600062India Center for Artificial Intelligence and Research(CAIR) Chennai Institute of TechnologyChennai600069India COMBA R&d Laboratory Faculty of EngineeringUniversidad Santiago de CaliCali76001Colombia department of Emerging Technologies Guru Nanak Institute of TechnologyIbrahipatnamTelangana501506India

Wireless Sensor Networks(WSNs)are a major element of Internet of Things(IoT)networks which offer seamless sensing and wireless *** management in smart cities can be considered as a safety critical ***,it becomes essential in ensuring network accessibility by improving the lifetime of IoT assisted *** and multihop routing are considered beneficial solutions to accomplish energy efficiency in IoT *** article designs an IoT enabled energy aware metaheuristic clustering with routing protocol for real time disaster management(EAMCR-RTdM).The proposed EAMCR-RTdM technique mainly intends to manage the energy utilization of nodes with the consideration of the features of the disaster *** achieve this,EAMCR-RTdM technique primarily designs a yellow saddle goatfish based clustering(YSGF-C)technique to elect cluster heads(CHs)and organize *** addition,enhanced cockroach swarm optimization(ECSO)based multihop routing(ECSO-MHR)approach was derived for optimal route *** YSGF-C and ECSO-MHR techniques compute fitness functions using different input variables for achieving improved energy efficiency and network *** design of YSGF-C and ECSO-MHR techniques for disaster management in IoT networks shows the novelty of the *** examining the improved outcomes of the EAMCR-RTdM system,a wide range of simulations were performed and the extensive results are assessed in terms of different *** comparative outcomes highlighted the enhanced outcomes of the EAMCRRTdM algorithm over the existing approaches.

关键词： Internet of things disaster management wireless sensor networks real time applications routing clustering

Biomimetic Fe_(7)S_(8)/Carbon electrocatalyst from[FeFe]-Hydrogenase for improving pH-Universal electrocatalytic hydrogen production Special Collection:Aggregation-Induced Processes and Functions

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Aggregate 2024年第1期5卷 451-459页

作者： dohun Kim Subramani surendran Sejin Im Jaehyoung Lim Kyoungsuk Jin Ki Tae Nam Uk Sim department of Energy Science&Engineering Daegu Gyeongbuk Institute of Science&Technology(DGIST)DaeguRepublic of Korea Hydrogen Energy Technology Laboratory Korea Institute of Energy Technology(KENTECH)NajuRepublic of Korea department of Chemistry Korea UniversitySeoulRepublic of Korea department of Materials Science and Engineering Seoul National UniversitySeoulRepublic of Korea

Efficient and cost-effective electrocatalysts that can operate across a wide range of pH conditions are essential for green hydrogen *** by biological systems,Fe_(7)S_(8)nanoparticles incorporated on polydopamine matrix electrocatalyst were synthesized by co-precipitation and annealing *** resulting Fe_(7)S_(8)/C electrocatalyst possesses a three-dimensional structure and exhibits enhanced electrocatalytic performance for hydrogen production across various pH ***,the Fe_(7)S_(8)/C electrocatalyst demonstrates exceptional activity,achieving low overpotentials of 90.6,45.9,and 107.4 mV in acidic,neutral,and alkaline environments,*** impedance spectroscopy reveals that Fe_(7)S_(8)/C exhibits the lowest charge transfer resistance under neutral conditions,indicating an improved proton-coupled electron transfer ***-wave electron paramagnetic resonance results confirm a change in the valence state of Fe from 3+to 1+during the hydrogen evolution reaction(HER).These findings closely resemble the behavior of natural[FeFe]-hydrogenase,known for its superior hydrogen production in neutral *** remarkable performance of our Fe_(7)S_(8)/C electrocatalyst opens up new possibilities for utilizing bioinspired materials as catalysts for the HER.

关键词： biomimetic electrocatalyst hydrogen production renewable energy

Aggregation induced edge sites actuation of 3d MoSe_(2)/rGO electrocatalyst for high-performing water splitting system

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Aggregate 2024年第2期5卷 188-200页

作者： Gnanaprakasam Janani Subramani surendran dong-Kyu Lee Sathyanarayanan Shanmugapriya Hyunjung Lee Yuvaraj Subramanian Uk Sim Hydrogen Energy Technology Laboratory Korea Institute of Energy Technology(KENTECH)NajuJeonnamRepublic of Korea department of Chemistry University of UlsanDoowang-dongNam-guUlsanRepublic of Korea Research Institute NEEL SciencesINC.NajuRepublic of Korea Center for Energy Storage System Chonnam National UniversityGwangjuRepublic of Korea

2d materials are regarded as promising electrocatalysts for water splitting because of their advances in providing ample active sites and improving electrochemical reaction kinetics.2d MoSe_(2)has a greater intrinsic electrical conductivity and lower Gibbs free energy for reactant ***,there is still room for improvement in the electrocatalytic performance of MoSe_(2)for high-performance electrochemical water splitting ***,the in situ preparation of heterostructure made of covalently bonded MoSe_(2)and rGO is *** obtained electrocatalyst contains the aggregated 3d structured MoSe_(2)over rGO,which is covalently bonded together with more edge *** active edge sites of MoSe_(2)/rGO are dynamically involved in the electrocatalytic activity while facilitating electron ***,the MoSe_(2)/rGO heterostructure requires a low cell voltage of 1.64 V to reach 100 mA cm^(−2)in water splitting with high reaction *** aggregated MoSe_(2)over rGO with more edge sites exposed by the 3d structure of MoSe_(2)and the interfacial covalent bond in between them provides a favorable electronic structure for the HER and OER with low overpotentials and high current densities and enhances the stability of the *** work presents an attractive and cost-effective electrocatalyst suitable for industrial-scale hydrogen fuel production.

关键词： 3d/2d heterostructures aggregation covalent bond edge sites hydrogen production MoSe_(2) rGO

Encryption with User Authentication Model for Internet of Medical Things Environment

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Intelligent Automation & Soft Computing 2023年第1期35卷 507-520页

作者： K.S.Riya R.surendran Carlos Andrés Tavera Romero M.Sadish Sendil department of Information Technology Vel Tech Multi Tech Dr.Rangarajan Dr.Sakunthala Engineering CollegeChennai600062India Center for Artificial Intelligence and Research(CAIR) Chennai Institute of TechnologyChennai600069India COMBA R&d Laboratory Faculty of EngineeringUniversidad Santiago de CaliCali76001Colombia department of Emerging Technologies Guru Nanak Institute of TechnologyIbrahipatnam501506TelanganaIndia

Internet of Medical Things(IoMT)enabled e-healthcare has the potential to greately improve conventional healthcare services ***,security and privacy become major issues of IoMT because of the restricted processing abilities,storage,and energy constraints of the ***,it leads to infeasibility of developing traditional cryptographic solutions to the IoMT *** order to ensure security on sensitive medical data,effective encryption and authentication techniques need to be designed to assure security of the patients and healthcare service *** this view,this study designs an effective metaheuristic optimization based encryption with user authentication(EMOE-UA)technique for IoMT *** work proposes an EMOE-UA technique aims to accomplish mutual authentication for addressing the security issues and reducing the computational ***,the EMOE-UA technique employs optimal multikey homomorphic encryption(OMKHE)technique to encrypt the IoMT ***,the improved social spider optimization algorithm(ISSOA)was employed for the optimal multikey generation of the MKHE *** experimental result analysis of the EMOE-UA technique takes place using benchmark data and the results are examined under various *** simulation results reported the considerably better performance of the EMOE-UA technique over the existing techniques.

关键词： User authentication security privacy internet of medical things homomorphic encryption optimal key generation

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固态Photo-CIdNP效应（英文）

物理化学学报 2016年第2期32卷 399-404页

作者：王孝杰 THAMARATH Smitha surendran ALIAA. BOdE Bela E. MATYSIK Jorg 国防科技大学理学院化学与生物学系长沙410073 莱比锡大学分析化学研究所德国莱比锡04103 莱顿大学化学院荷兰莱顿2300RA 莱比锡大学医学物理与生物物理研究所德国莱比锡D-04107 圣安德鲁斯大学化学与生物医学研究院苏格兰圣安德鲁斯KY16 9ST

光化学诱导动态核极化(photo-CIdNP)是一种在光照条件下由于产生非玻尔兹曼核自旋极化而使核磁共振(NMR)波谱信号强度发生明显变化的效应。这种效应在液体NMR中已为人所熟知,并通过经典的自由基对机理得到解释。固态photo-CIdNP效应发... 详细信息

光化学诱导动态核极化(photo-CIdNP)是一种在光照条件下由于产生非玻尔兹曼核自旋极化而使核磁共振(NMR)波谱信号强度发生明显变化的效应。这种效应在液体NMR中已为人所熟知,并通过经典的自由基对机理得到解释。固态photo-CIdNP效应发现的较晚,本文介绍了在光合反应中心及蓝光受体中发现的固态photo-CIdNP效应,详细阐述了固态photo-CIdNP效应产生的自由基对自旋动力学的机理,包括三旋混合(TSM)、衰变差异(dd)和弛豫差异(dR),重点介绍了类球红杆菌光合反应中心固态photo-CIdNP效应的磁场依赖性,这种场依赖性在同一分子中的不同核之间表现出明显的差异。本文综述了固态photo-CIdNP效应的现象、理论及其磁场依赖特性的最新进展。

关键词：光化学诱导动态核极化魔角旋转核磁共振自由基对自旋化学