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Decision Tree Based Key Management for secure Group Communication

Computer systems science & Engineering 2022年第8期42卷 561-575页

作者： P.Parthasarathi s.shankar Department of Computer science and Engineering Bannari Amman Institute of TechnologySathyamangalam638401India Department of Computer science and Engineering Hindusthan College of Engineering and TechnologyCoimbatore641032India

Group communication is widely used by most of the emerging network applications like telecommunication,video conferencing,simulation applications,distributed and other interactive *** group communication plays a vital role in case of providing the integrity,authenticity,confidentiality,and availability of the message delivered among the group members with respect to communicate securely between the inter group or else within the *** secure group communications,the time cost associated with the key updating in the proceedings of the member join and departure is an important aspect of the quality of service,particularly in the large groups with highly active ***,the paper is aimed to achieve better cost and time efficiency through an improved DC multicast routing protocol which is used to expose the path between the nodes participating in the group *** this process,each node constructs an adaptive Ptolemy decision tree for the purpose of generating the contributory *** of the node is comprised of three keys which will be exchanged between the nodes for considering the group key for the purpose of secure and cost-efficient group *** rekeying process is performed when a member leaves or adds into the *** performance metrics of novel approach is measured depending on the important factors such as computational and communicational cost,rekeying process and formation of the *** is concluded from the study that the technique has reduced the computational and communicational cost of the secure group communication when compared to the other existing methods.

关键词： Key generation adaptive Ptolemy decision tree cost reduction secure group communication

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semantic Based Greedy Levy Gradient Boosting Algorithm for Phishing Detection

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Computer systems science & Engineering 2022年第5期41卷 525-538页

作者： R.sakunthala Jenni s.shankar Department of Computer science and Engineering Hindusthan College of Engineering and TechnologyCoimbatore641032India

The detection of phishing and legitimate websites is considered a great challenge for web service providers because the users of such websites are *** websites also create traffic in the entire *** phishing issue is the broadening malware of the entire network,thus highlighting the demand for their detection while massive datasets(i.e.,big data)are *** the application of boosting mechanisms in phishing detection,these methods are prone to significant errors in their output,specifically due to the combination of all website features in the training *** upcoming big data system requires MapReduce,a popular parallel programming,to process massive *** address these issues,a probabilistic latent semantic and greedy levy gradient boosting(PLs-GLGB)algorithm for website phishing detection using MapReduce is proposed.A feature selection-based model is provided using a probabilistic intersective latent semantic preprocessing model to minimize errors in website phishing ***,the missing data in each URL are identified and discarded for further processing to ensure data ***,with the preprocessed features(URLs),feature vectors are updated by the greedy levy divergence gradient(model)that selects the optimal features in the URL and accurately detects the ***,greedy levy efficiently differentiates between phishing websites and legitimate *** are conducted using one of the largest public corpora of a website phish tank *** show that the PLs-GLGB algorithm for website phishing detection outperforms stateof-the-art phishing detection *** amounts of phishing detection time and errors are also saved during the detection of website phishing.

关键词： Web service providers probabilistic intersective latent semantic greedy levy divergence gradient phishing detection big data

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Ensemble Based Learning with Accurate Motion Contrast Detection

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Intelligent Automation & soft Computing 2023年第2期35卷 1657-1674页

作者： M.Indirani s.shankar Hindusthan College of Engineering and Technology Coimbatore641032India

Recent developments in computer vision applications have enabled detection of signiﬁcant visual objects in video *** quoted in literature have detected objects from video streams using spatiotemporal Particle swarm Optimization(sPsOM)and Incremental Deep Convolution Neural Networks(IDCNN)for detecting multiple ***,the study considered opticalﬂows resulting in assessing motion *** methods have issue with accuracy and error rates in motion contrast ***,the overall object detection performance is reduced signiﬁ***,consideration of object motions in videos efﬁciently is a critical issue to be *** overcome the above mentioned problems,this research work proposes a method involving ensemble approaches to and detect objects efﬁciently from video *** work uses a system modeled on swarm optimization and ensemble learning called spatiotemporal Glowworm swarm Optimization Model(sGsOM)for detecting multiple signiﬁcant objects.A steady quality in motion contrasts is maintained in this work by using Chebyshev distance *** proposed system achieves global optimization in its multiple object detection by exploiting spatial/temporal cues and local *** experimental results show that the proposed system scores 4.8%in Mean Absolute Error(MAE)while achieving 86%in accuracy,81.5%in precision,85%in recall and 81.6%in F-measure and thus proving its utility in detecting multiple objects.

关键词： Multiple signiﬁcant objects ensemble based learning modiﬁed pooling layer based convolutional neural network spatiotemporal glowworm swarm optimization model

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老年病人冠脉搭桥手术的回顾性研究

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中国介入心脏病学杂志 1998年第2期6卷 61-63页

作者：陶凉陈廷毅陈言森蔡耀龙 s.shankar 陈鸿义北京医科大学第一医院心胸外科 100034 新加坡中央医院心胸外科

本文对新加坡中央医院1992．1～1996．12月期间的62名75岁或以上行冠状动脉搭桥手术的病人进行了回顾性的研究。本组病人的平均年龄为77±2（75～85）岁。男女比例相同。平均搭桥3．1支。使用乳内动脉18例。使用胃网膜右动脉1例。手术... 详细信息

本文对新加坡中央医院1992．1～1996．12月期间的62名75岁或以上行冠状动脉搭桥手术的病人进行了回顾性的研究。本组病人的平均年龄为77±2（75～85）岁。男女比例相同。平均搭桥3．1支。使用乳内动脉18例。使用胃网膜右动脉1例。手术成功率95％（59／62）。平均随访时间为2年。84％无症状存活；3例（5％）出院后心绞痛需药物治疗；7例（11％）于随访期间死亡：其中5例与心脏病无关，2例死于心力衰竭。因此，在熟练掌握CABG手术、谨慎选择病人的情况下，老年人行冠脉搭桥手术是安全的，其合并症和死亡率是可以接受的。

关键词：冠心病老年人冠状动脉搭桥术

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Frequency domain analysis of pre-stressed elastomeric vibration isolators

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Defence Technology（防务技术） 2023年第7期25卷 33-47页

作者： s.somanath R.Marimuthu shankar Krishnapillai Indian space Research Organisation Anthariksh BhavanNew BEL RoadBengaluru560231India sTR/VssC Indian Space Research OrganisationThiruvananthapuram695022India Department of Mechanical Engineering IIT MadrasChennai600036India

Two types of elastomeric vibration isolators used for equipment vibration isolation in aerospace vehicles are considered for the present study. These isolators are constructed using elastomers mounted in steel encasings. These isolators are initially deformed statically and dynamic loads are applied on the deformed configuration. To capture the static deformation, equivalent static load corresponding to its load rating and specified displacements are created. static deformation is computed using Finite Element methods with four node axi-symmetric element which include the geometric non-linear effect for steel and with standard Yeoh hyper-elastic material model for elastomers(Muhammed and Zu, 2012) [1]. Yeoh material constants are derived from uni-axial tension test data of the elastomer specimen. These isolators are subjected to harmonic and random excitations in the pre-deformed state. For numerical analysis, elastomeric constants at dynamic conditions are obtained as complex function of frequency using Dynamic Mechanical Analyzer(DMA) for a range of frequencies. The standard material model of Yeoh is modified incorporating frequency dependant material characteristics and damping in the range of frequencies of interest. A multiplicative non-separable variables law is derived for Yeoh material model to include the effect of static pre-stress, based on the methodology given in literature(Nashif et al.,1985;Beda et al., 2014) [2,3]. The modifications of Yeoh model suitable for frequency domain analysis is the novelty in the present study. In the analysis, while dynamic loads are applied, the configuration is updated considering initial static loading. The frequency response of the isolators is computed using material properties evaluated at progressive dynamic strains until a match in natural frequency is observed. Appropriate damping corrections are then incorporated to match the test observed transmissibility. Then updated material properties are used to compute the

关键词： Elastomer Isolator Axi-symmetric Frequency Random Response strain amplitude Complex modulus Transmissibility

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Optimal Data Placement and Replication Approach for sIoT with Edge

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Computer systems science & Engineering 2022年第5期41卷 661-676页

作者： B.Prabhu shankar s.Chitra Department of Information Technology Er Perumal Manimekalai College of EngineeringHosur635117TamilnaduIndia Department of Computer science and Engineering Er Perumal Manimekalai College of EngineeringHosur63117TamilnaduIndia

social networks(sNs)are sources with extreme number of users around the world who are all sharing data like images,audio,and video to their friends using IoT *** concept is the so-called social Internet of Things(sIot).The evolving nature of edge-cloud computing has enabled storage of a large volume of data from various sources,and this task demands an efficient storage *** this kind of large volume of data storage,the usage of data replication using edge with geo-distributed cloud service area is suited to fulfill the user’s expectations with low *** major issue is the way to store the data and replicate these large data items optimally and allocate the request from the data center *** efficient storage of these data,we use edge server,which is part of the cloud server,in this ***,the data are distributed and stored with quick access,which will reduce the latency with *** proposed data placement approach learns with machine learning(ML)algorithm called radial basis kernel function assisted with support vector machine(RBF-sVM)to classify the data center for storing the user and friend’s data from the sIoT *** learning algorithms will be used to predict the workload of the data stored in the data center as either edge or cloud depending on the existing time *** data placement with dynamic nature is also optimized using the proposed dynamic graph partitioning(GP)method to meet the individual user’s demand of low latency with minimum *** way will keep the sIoT data placement efficient and effective over ***,this proposed data placement and replication approach introduces three kinds of innovations compared with the existing data placement approach.(i)Rather than storing the user data in a single cloud,this study uses the edge server closest to the sIoT devices for faster access with reduced response time.(ii)The classification algorithm called RBF-sVM is used to find storage for

关键词： Data placement data replication social network social internet of things edge computing cloud computing graph partitioning support vector machine machine learning radial basis function latency storage cost

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Enhancement of seal life through carbon composite back-up rings under shock loading conditions in defence applications

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Defence Technology（防务技术） 2016年第1期12卷 39-45页

作者： shankar BHAUMIK A.KUMARAsWAMY s.GURUPRAsAD R&DE(Engrs.) Pune 411015MaharashtraIndiab defence institute of advanced technology(du) Pune 411025MaharashtraIndia

The life of Nitrile Butadiene Rubber(NBR) O-ring seal having shore hardness of A70 and A90 under shock loading conditions was investigated by a specially designed pneumo-hydraulic shock test rig. shock tests have been carried out on bare seals, seal with conventional polytetrafluoroethylene(PTFE) back-up rings and seal with newly developed carbon composite back-up rings to study its behaviour under different operating conditions until failure. Experiments were conducted by varying annular gap ranging from 0.3 to 0.5 mm, oil temperature from 30 ℃ to 70 ℃ and rate of pressure rise from 600 to 2400 MPa/s. significant enhancement in seal life was observed with carbon composite back-up ring at reduced annular clearances compared to seal life with conventional PTFE back-up ring and without back-up rings.

关键词：碳纤维复合材料密封寿命载荷条件冲击试验台压力上升应用国防 O型密封圈

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A stability-indicating LC–Ms/Ms method for zidovudine: Identification,characterization and toxicity prediction of two major acid degradation products

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Journal of Pharmaceutical Analysis 2017年第4期7卷 231-236页

作者： Prashant s.Devrukhakar M.shiva shankar G.shankar R.srinivas school of Advance sciences Vellore Institute of technology (VIT) National Centre for Mass spectrometry CSIR-Indian Institute of Chemical Technology

Zidvovudine(AZT) is a nucleoside analogue reverse transcriptase inhibitor(NRTI), a class of anti-retroviral drug. A stability-indicating assay method for AZT was developed in line with ICH guideline. successful separation of AZT and its degradation products was achieved by gradient elution mode on reverse phase C_(18) column using 10 mM ammonium acetate: acetonitrile as the mobile phase at 0.8 mL/min flow rate, 25 μL injection volume, 30 °C column temperature and 285 nm detection wavelength. Two major acid degradation products were identified and characterized by liquid chromatography–electrospray ionization mass spectrometry(LC–EsI/Ms/Ms) and accurate mass measurements. The probable mechanisms for the formation of degradation products were identified based on a comparison of the fragmentation pattern of the [M + H]^+ions of AZT and its degradation products. One of the degradation products, DP-1, was isolated by semi-preparative high performance liquid chromatography(HPLC) using Waters XBridge Prep C_(18)(250 mm×10 mm, 5 μm).Degradation products showed higher toxicity compared to the drug in some models assessed by TOPKAT software. The method validation was performed with respect to robustness, specificity, linearity, precision and accuracy as per ICH guideline Q2(R1).

关键词： Zidvovudine stability study Degradation products In-silico toxicity prediction LC–EsI/Ms/Ms Degradation pathway

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Failure investigation on high velocity impact deformation of boron carbide(B_(4)C) reinforced fiber metal laminates of titanium/glass fiber reinforced polymer

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Defence Technology（防务技术） 2022年第6期18卷 963-975页

作者： s.suresh Kumar P.A.shankar K.Lalith Kumar Department of Mechanical Engineering Sri Sivasubramaniya Nadar College of EngineeringKalavakkamChennai603110India

High velocity ballistic impact deformation behaviour of Titanium/GFRP Fiber Metal Laminates(FML)has been *** single and multiple projectiles impact conditions were ***/GFRP FML targets were fabricated with addition of 5%and 10%weight percentage of boron carbide(B_(4)C)*** properties of Ti/GFRP FML targets were determined as per AsTM *** velocity ballistic experiments were conducted using Armour Piercing Projectile(APP)of diameter 7.62 mm and velocity ranging between 350 and 450 m/*** of penetration of the projectile into the target was *** deformation behaviour of Ti/GFRP targets with and without the presence of ceramic powder(B_(4)C)was investigated.“Ductile hole growth”failure mode was observed for pure GFRP target when subjected to single projectile impact whereas“plugging”failure mode was noted for Ti/GFRP *** presence of B_(4)C(5%by weight)particles has significantly improved the ballistic resistance of the Ti/GFRP FML target by offering frictional resistance to the projectile *** addition(10%by weight)of B_(4)C has reduced the ballistic performance due to *** of the targets showed‘brittle cracking’or‘fragmentation’*** compared to the published results of Aluminium(Al 1100/GFRP and Al 6061/GFRP)FMLs,Ti/GFRP FML showed lesser DoP which increases its potential application to aerospace industry.

关键词： Ti/GFRP FML Ballistic impact Armour piercing projectile Boron carbide Depth of penetration Plugging

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Improved hybrid strength Pareto Evolutionary Algorithms for multi-objective optimization

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International Journal of Intelligent Computing and Cybernetics 2018年第1期11卷 20-46页

作者： K.shankar Akshay s.Baviskar Department of mechanical engineering indian institute of technology madraschennaiindia

Purpose–The purpose of this paper is to design an improved multi-objective algorithm with better spread and convergence than some current *** proposed application is for engineering design ***/methodology/approach–This study proposes two novel approaches which focus on faster convergence to the Pareto front(PF)while adopting the advantages of strength Pareto Evolutionary Algorithm-2(sPEA2)for better *** first method,decision variables corresponding to the optima of individual objective functions(Utopia Point)are strategically used to guide the search toward *** second method,boundary points of the PF are calculated and their decision variables are seeded to the initial ***–The proposed methods are tested with a wide range of constrained and unconstrained multi-objective test functions using standard performance *** evaluation demonstrates the superiority of proposed algorithms over well-known existing algorithms(such as NsGA-II and sPEA2)and recent ones such as NsLs and E-NsGA-II in most of the benchmark *** is also tested on an engineering design problem and compared with a currently used *** implications–The algorithms are intended to be used for practical engineering design problems which have many variables and conflicting objectives.A complex example of Welded Beam has been shown at the end of the *** implications–The algorithm would be useful for many design problems and social/industrial problems with conflicting ***/value–This paper presents two novel hybrid algorithms involving sPEA2 based on:local search;and Utopia point directed search *** concept has not been investigated before.

关键词： Evolutionary algorithms Boundary points Multi-objective optimization problems strength Pareto Evolutionary Algorithm 2(sPEA2)

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