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Iterative Dichotomiser Posteriori Method Based Service Attack Detection in Cloud Computing

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Computer Systems Science & Engineering 2023年第2期44卷 1099-1107页

作者： B.Dhiyanesh k.karthick R.Radha Anita Venaik Hindusthan College of Engineering and Technology Coimbatore641032India Sona College of Technology Salem636005India karpagam Institute of Technology Coimbatore641105India Amity Business School Amity UniversityNoida201301India

Cloud computing(CC)is an advanced technology that provides access to predictive resources and data *** cloud environment represents the right type regarding cloud usage model ownership,size,and rights to *** introduces the scope and nature of cloud *** recent times,all processes are fed into the system for which consumer data and cache size are *** of the most security issues in the cloud environment is Distributed Denial of Ser-vice(DDoS)attacks,responsible for cloud server *** proposed sys-tem ID3(Iterative Dichotomiser 3)Maximum Multifactor Dimensionality Posteriori Method(ID3-MMDP)is used to overcome the drawback and a rela-tively simple way to execute and for the detection of(DDoS)***,the pro-posed ID3-MMDP method calls for the resources of the cloud platform and then implements the attack detection technology based on information entropy to detect DDoS *** because the entropy value can show the discrete or aggregated characteristics of the current data set,it can be used for the detection of abnormal dataﬂow,User-uploaded data,ID3-MMDP system checks and read risk measurement and processing,bug ratingﬁle size changes,orﬁle name changes and changes in the format design of the data size entropy *** properties can be used whenever the program approaches any data error to detect abnormal data ***,the experiment also veriﬁes the DDoS attack detection capability algorithm.

关键词： ID3(Iterative dichotomiser 3)maximum multifactor dimensionality posterior method(ID3-MMDP) distributed denial of service(DDoS)attacks detection of abnormal dataﬂow Sk measurement and processing bug ratingﬁle size

Effect of thermal cycle on Ni-Cr based nanostructured thermal spray coating in boiler tubes

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Transactions of Nonferrous Metals Society of China 2015年第5期25卷 1533-1542页

作者： V.SENTHILkUMAR B.THIYAGARAJAN M.DURAISELVAM k.karthick Department of Production Engineering National Institute of Technology Bharat Heavy Electricals Limited

Ni-Cr based nanostructured feedstock powder was prepared by mechanical milling technique involving repeated welding, fracturing, and re-welding of powder particles in a planetary ball mill. The milled nanocrystalline powders were used to coat carbon steel tubes using high velocity oxygen fuel（HVOF） thermal spraying process. The characterization of the feedstock powder and HVOF coated substrates was performed using optical microscope, X-ray diffractometer（XRD）, scanning electron microscope（SEM）, high resolution transmission electron microscope（HR-TEM）, energy dispersive spectrometer（EDS） and microhardness tests. The coated and uncoated samples were subjected to different thermal cycles and characterized for their phase changes, metallurgical changes and microhardness variations. Ni-Cr nanostructured coated samples exhibited higher mechanical and metallurgical properties compared to their conventionally coated counter parts. The results showed that the nanostructured coating possessed a more uniform and denser microstructure than the conventional coating.

关键词： nanostructure coating feedstock powder thermal spray boiler tubes high velocity oxygen fuel

Design of area and power efficient Radix-4 DIT FFT butterfly unit using floating point fused arithmetic

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Journal of Central South University 2016年第7期23卷 1669-1681页

作者： Prabhu E Mangalam H karthick S Department of Electronics and Communication Engineering Amrita School of EngineeringCoimbatore Amrita Vishwa Vidyapeetham Amrita University Department of Electronics and Communication Engineering Sri Krishna College of Engineering and Technology Department of Electronics and Communication Engineering Bannari Amman Institute of Technology

In this work, power efficient butterfly unit based FFT architecture is presented. The butterfly unit is designed using floating-point fused arithmetic units. The fused arithmetic units include two-term dot product unit and add-subtract unit. In these arithmetic units, operations are performed over complex data values. A modified fused floating-point two-term dot product and an enhanced model for the Radix-4 FFT butterfly unit are proposed. The modified fused two-term dot product is designed using Radix-16 booth multiplier. Radix-16 booth multiplier will reduce the switching activities compared to Radix-8 booth multiplier in existing system and also will reduce the area required. The proposed architecture is implemented efficiently for Radix-4 decimation in time(DIT) FFT butterfly with the two floating-point fused arithmetic units. The proposed enhanced architecture is synthesized, implemented, placed and routed on a FPGA device using Xilinx ISE tool. It is observed that the Radix-4 DIT fused floating-point FFT butterfly requires 50.17% less space and 12.16% reduced power compared to the existing methods and the proposed enhanced model requires 49.82% less space on the FPGA device compared to the proposed design. Also, reduced power consumption is addressed by utilizing the reusability technique, which results in 11.42% of power reduction of the enhanced model compared to the proposed design.

关键词： floating-point arithmetic floating-point fused dot product Radix-16 booth multiplier Radix-4 FFT butterfly fast fouriertransform decimation in time

An inventory analysis in a multi-echelon supply chain system under asymmetry fuzzy demand:a fmincon optimization

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Journal of Management Analytics 2023年第4期10卷 649-675页

作者： B.karthick Department of Mathematics M.Kumarasamy College of EngineeringKarurTamilnaduIndia

In this article,the three-echelon supply chain model is developed with a single supplier,a single vendor and a single buyer in a fuzzy *** threestage inspection technique is considered at the end of the vendor’s process to supply high-quality products to the ***,the demand rate of the product in the market is often assumed to be uncertain,and accordingly,in this paper,the uncertainty is handled using fuzzy *** primary goal of this model is to minimize the overall inventory cost relative to the asymmetry hexagonal fuzzy ***,a backorder strategy is incorporated to gain customer satisfaction and reduce lost *** validate this model,numerical examples are tested and constrained non-linear optimization(*** solver)is performed to derive the optimal solution for the decision ***,conclusions with potential future directions are provided.

关键词： uncertainty fmincon hexagonal demand inventory backorder

Phase evolution and mechanical properties of novel nanocrystalline Y_(2)(TiZrHfMoV)_(2)O_(7) high entropy pyrochlore

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Journal of Materials Science & Technology 2021年第23期82卷 214-226页

作者： G.karthick Lavanya Raman B.S.Murty Department of Metallurgical and Materials Engineering Indian Institute of Technology MadrasChennai600036India Indian Institute of Technology Hyderabad Kandi502285India

High entropy pyrochlores(HEP)are potential candidates as dispersoids in the oxide dispersed strengthened steels or alloys,which can be used in nuclear reactors and supercritical *** the first time,HEP oxides Y_(2)(TiZrHfMoV)_(2)O_(7) were synthesized with Y_(2)Ti_(2)O_(7) as a base structure with the B site(Ti)substituted with five cations through reverse co-precipitation technique in the nanocrystalline form at lowest synthesis *** synthesis parameters for Y_(2)(TiZrHfMoV)_(2)O_(7)(5C)and other derived compositions(five compositions of four cationic systems with each cation eliminated at B site from 5 C)are optimised to obtain lower crystallite and particle sizes.5C has a smaller crystallite size(27 nm)than other single-phase *** cation’s influence,oxidation state,and oxygen vacancy in the phase formation were analysed through *** single-phase HEPs are consolidated through spark plasma sintering.Y_(2)(TiZrHfMo)_(2)O_(7)(4 C-V)shows the highest hardness among the compositions reported so far due to its finer grain size,and Y_(2)(TiHfMoV)_(2)O_(7)(4 C-Zr)has a higher Young’s modulus compared to other single-phase composition due to its higher degree of order in the structure.

关键词： High entropy pyrochlores Reverse co-precipitation B site substitution Hardness Young’s modulus

Significance of compaction time delay on compaction and strength characteristics of sulfate resistant cement-treated expansive soil

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Journal of Rock Mechanics and Geotechnical Engineering 2021年第5期13卷 1193-1202页

作者： P.Sriram karthick Raja T.Thyagaraj Department of Civil Engineering Indian Institute of Technology MadrasChennai600036India

The addition of cement for stabilization of expansive soils is one of the most commonly used *** with every calcium-based stabilizer,the time delay between the physical mixing of the stabilizer and compaction plays an important role in achieving the desired results after ***,a clear insight on the determination of optimum time delay for achieving the maximum desired compaction properties of cement-stabilized soils is yet to be ***,the recent studies highlighted the use of sulfate to mitigate the negative effect of compaction time *** only drawback with the use of sulfate along with calcium-based stabilizers is the formation of ettringite,which deteriorates the stabilized soil *** view of this,the present study is aimed at using the sulfate resistant cement(SRC)as a stabilizer along with the controlled addition of sulfate solutions to mitigate the negative effect of compaction time delay in stabilizing the expansive *** bring out the above effects,three periods of time delays(0 h,6 h and 24 h)and three sulfate concentrations of 5000 parts per million(ppm),10,000 ppm and 20,000 ppm were *** experimental results showed that the delay in compaction resulted in the formation of clogs and reduction of strength of SRC-stabilized expansive *** sulfate addition to SRC-stabilized expansive soil,the formation clogs was not curtailed and resulted in the formation of ettringite *** formations were captured with the help of scanning electron microscope(SEM)images and validated with electron dispersive X-ray spectroscopy(EDAX)***,an attempt is also made to explain the mechanism of density and strength reduction with the aid of physico-chemical properties and mercury intrusion porosimetry(MIP)studies.

关键词： Compaction time delay Ettringite Sulfate resistant cement(SRC) Mercury intrusive porosimetry(MIP) Sulfate

Effective and Efficient Video Compression by the Deep Learning Techniques

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Computer Systems Science & Engineering 2023年第5期45卷 1047-1061页

作者： karthick Panneerselvam k.Mahesh V.L.Helen Josephine A.Ranjith kumar Department of Computer Applications Alagappa UniversityKaraikudiIndia Department of Computer Science and Engineering lovely professional UniversityPhagwaraPunjabIndia School of Business and Management Christ UniversityBengaluruKarnatakaIndia

Deep learning has reached many successes in Video *** has become a growing important part of our daily digital *** advancement of better resolution content and the large volume offers serious challenges to the goal of receiving,distributing,compressing and revealing highquality video *** this paper we propose a novel Effective and Efficient video compression by the Deep Learning framework based on the flask,which creatively combines the Deep Learning Techniques on Convolutional Neural Networks(CNN)and Generative Adversarial Networks(GAN).The video compression method involves the layers are divided into different groups for data processing,using CNN to remove the duplicate frames,repeating the single image instead of the duplicate images by recognizing and detecting minute changes using GAN and recorded with Long Short-Term Memory(LSTM).Instead of the complete image,the small changes generated using GAN are substituted,which helps with frame-level *** wise comparison is performed using k-nearest Neighbours(kNN)over the frame,clustered with k-means and Singular Value Decomposition(SVD)is applied for every frame in the video for all three colour channels[Red,Green,Blue]to decrease the dimension of the utility matrix[R,G,B]by extracting its latent *** frames are packed with parameters with the aid of a codec and converted to video format and the results are compared with the original *** experiments on several videos with different sizes,duration,Frames per second(FPS),and quality results demonstrated a significant resampling *** normal,the outcome delivered had around a 10%deviation in quality and over half in size when contrasted,and the original video.

关键词： Convolutional neural networks(CNN) generative adversarial network(GAN) singular value decomposition(SVD) k-nearest neighbours(kNN) stochastic gradient descent(SGD) long short-term memory(LSTM)

A Hybrid Approach for Plant Disease Detection Using E-GAN and CapsNet

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Computer Systems Science & Engineering 2023年第7期46卷 337-356页

作者： N.Vasudevan T.karthick Department of Data Science and Business Systems School of ComputingSRM Institute of Science and TechnologyKattankulathurTamilnadu603203India

Crop protection is a great obstacle to food safety,with crop diseases being one of the most serious *** diseases diminish the quality of crop *** detect disease spots on grape leaves,deep learning technology might be *** the other hand,the precision and efficiency of identification remain *** quantity of images of ill leaves taken from plants is often *** an uneven collection and few images,spotting disease is *** plant leaves dataset needs to be expanded to detect illness accurately.A novel hybrid technique employing segmentation,augmentation,and a capsule neural network(CapsNet)is used in this paper to tackle these *** proposed method involves three ***,a graph-based technique extracts leaf area from a plant *** second step expands the dataset using an Efficient Generative Adversarial Network ***,a CapsNet identifies the illness and *** proposed work has experimented on real-time grape leaf images which are captured using an SD1000 camera and PlantVillage grape leaf *** proposed method achieves an effective classification of accuracy for disease type and disease stages detection compared to other existing models.

关键词： Feature extraction neural network disease segmentation pattern analysis

Human Stress Recognition by Correlating Vision and EEG Data

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Computer Systems Science & Engineering 2023年第6期45卷 2417-2433页

作者： S.Praveenkumar T.karthick SRM Institute of Science and Technology Department of Data Science and Business SystemsSchool of ComputingKattankulathur603203TamilnaduIndia

Because stress has such a powerful impact on human health,we must be able to identify it automatically in our everyday *** human activity recognition(HAR)system use data from several kinds of sensors to try to recognize and evaluate human actions automatically recognize and evaluate human *** the multimodal dataset DEAP(Database for Emotion Analysis using Physiological Signals),this paper presents deep learning(DL)technique for effectively detecting human *** combination of vision-based and sensor-based approaches for recognizing human stress will help us achieve the increased efficiency of current stress recognition systems and predict probable actions in advance of when *** on visual and EEG(Electroencephalogram)data,this research aims to enhance the performance and extract the dominating characteristics of stress *** the stress identification test,we utilized the DEAP dataset,which included video and EEG *** also demonstrate that combining video and EEG characteristics may increase overall performance,with the suggested stochastic features providing the most accurate *** the first step,CNN(Convolutional Neural Network)extracts feature vectors from video frames and EEG *** Level(FL)fusion that combines the features extracted from video and EEG *** use XGBoost as our classifier model to predict stress,and we put it into *** stress recognition accuracy of the proposed method is compared to existing methods of Decision Tree(DT),Random Forest(RF),AdaBoost,Linear Discriminant Analysis(LDA),and kNearest Neighborhood(kNN).When we compared our technique to existing state-of-the-art approaches,we found that the suggested DL methodology combining multimodal and heterogeneous inputs may improve stress identification.

关键词： Mental stress physiological data XGBoost feature fusion DEAP video data EEG CNN HAR