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Network and plage indices from kodaikanal Ca-k data

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Research in Astronomy and Astrophysics 2014年第2期14卷 229-232页

作者： k.p.Raju Jagdev Singh Indian Institute of Astrophysics

The Ca II k filtergrams from kodaikanal Solar Observatory have been used to study solar activity. The images are dominated by the chromospheric network and plages. programs have been developed to obtain the network and plage indices from the daily images as functions of solar latitude and time. preliminary results from the analysis are reported here. The network and plage indices were found to follow the sunspot cycle. A secondary peak is found during the period of declining activity in both the indices. A comparison of network indices from the northern and the southern hemispheres shows that the former is more active than the latter. However such an asymmetry is not clearly seen in the plage index.

关键词： Sun chromosphere

Spinosad and neem seed kernel extract as bio-controlling agents for malarial vector,Anopheles stephensi and non-biting midge,Chironomus circumdatus

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Asian pacific Journal of Tropical Medicine 2011年第8期4卷 614-618页

作者： kumar AN Murugan k Madhiyazhagan p prabhu k Department of Zoology Bharathiar UniversityCoimbatore - 641 046India

Objective:Midge egg masses are reported to support non-pathogenic strains of the cholera *** cholera（***）.Mosquito born diseases have been reported to cause millions of death *** present research reveals the toxicity effect of spinosad and neem seed kernel extract（NSkE） against different larval stages of Anopheles stephensi（***） and Chironomus circumdatus（***）.Methods:The neem seeds were collected from Marudamalai hills,Bharathiar University,Coimbatore,*** seed kernels were powdered,extracted and diluted for different concentrations（2 ppm to 10 ppm）.Spinosad was purchased from kalpatharu pesticide Limited,Coimbatore,Tamil Nadu,India and thoroughly mixed with distilled water to prepare various concentrations（0.01 to 0.08 ppm） and used for ***:The results depict that spinosad is more toxic in lower concentrations when compared to NSkE and mosquitoes are more susceptible than *** concentrations were evaluated using the observed *** lowest LC50 value obtained from spinosad against *** and *** were 0.002 05 ppm and 0.008 91 *** study investigated on effect of Spinosad and NSkE on the biology of *** immature stages of both species were susceptible to Spinosad and *** and NSkE in individual as well as combined treatment provided additional days in development for ***:The results conclude that Spinosad and NSkE are potential larvicides against *** and Ch. circumdatus.

关键词： Mosquitoes Chironomids Bioassay Lethal concentrations Larval durations

Improved Dragonfly Optimizer for Intrusion Detection Using Deep Clustering CNN-pSO Classifier

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Computers, Materials & Continua 2022年第3期70卷 5949-5965页

作者： k.S.Bhuvaneshwari k.Venkatachalam S.Hubalovsky p.Trojovsky p.prabu Department of Computer Sceince and Engineering Karpagam College of EngineeringCoimbatore641032India Department of Computer Science and Engineering CHRIST(Deemed to be University)Bangalore560074India Department of Applied Cybernetics Faculty of ScienceUniversity of Hradec KrálovéHradec Králové50003Czech Republic Department of Mathematics Faculty of ScienceUniversity of Hradec KrálovéHradec Králové50003Czech Republic Department of Computer Sceince CHRIST(Deemed to be University)Bangalore560074India

With the rapid growth of internet based services and the data generated on these services are attracted by the attackers to intrude the networking services and *** on the characteristics of these intruders,many researchers attempted to aim to detect the intrusion with the help of automating ***,the large volume of data is generated and transferred through network,the security and performance are remained an ***(Intrusion Detection System)was developed to detect and prevent the intruders and secure the network *** performance and loss are still an issue because of the features space grows while detecting the *** this paper,deep clustering based CNN have been used to detect the intruders with the help of Meta heuristic algorithms for feature selection and *** proposed system includes three phases such as preprocessing,feature selection and *** the first phase,kDD dataset is preprocessed by using Binning normalization and Eigen-pCA based discretization *** second phase,feature selection is performed by using Information Gain based Dragonfly Optimizer(IGDFO).Finally,Deep clustering based Convolutional Neural Network(CCNN)classifier optimized with particle Swarm Optimization(pSO)identifies intrusion attacks *** clustering loss and network loss can be reduced with the optimization *** evaluate the proposed IDS model with the NSL-kDD dataset in terms of evaluation *** experimental results show that proposed system achieves better performance compared with the existing system in terms of accuracy,precision,recall,f-measure and false detection rate.

关键词： Intrusion detection system binning normalization deep clustering convolutional neural network information gain dragonfly optimizer

Machine Learning Based Classifiers for QoE prediction Framework in Video Streaming over 5G Wireless Networks

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Computers, Materials & Continua 2023年第4期75卷 1919-1939页

作者： k.B.Ajeyprasaath p.Vetrivelan School of Electronics Engineering Vellore Institute of TechnologyChennai600127India

Recently,the combination of video services and 5G networks have been gaining attention in the wireless communication *** the brisk advancement in 5G network usage and the massive popularity of threedimensional video streaming,the quality of experience(QoE)of video in 5G systems has been receiving overwhelming significance from both customers and service provider ***,effectively categorizing QoE-aware video streaming is imperative for achieving greater client *** work makes the following contribution:First,a simulation platform based on NS-3 is introduced to analyze and improve the performance of video *** simulation is formulated to offer real-time measurements,saving the expensive expenses associated with real-world ***,A valuable framework for QoE-aware video streaming categorization is introduced in 5G networks based on machine learning(ML)by incorporating the hyperparameter tuning(HpT)*** implements an enhanced hyperparameter tuning(EHpT)ensemble and decision tree(DT)classifier for video streaming *** performance of the ML approach is assessed by considering precision,accuracy,recall,and computation time metrics for manifesting the superiority of these classifiers regarding video streaming *** paper demonstrates that our ML classifiers achieve QoE prediction accuracy of 92.59%for(EHpT)ensemble and 87.037%for decision tree(DT)classifiers.

关键词： QoE-aware video streaming 5G networks wireless networks ensemble method

A Hybrid Machine Learning Approach for Improvised QoE in Video Services over 5G Wireless Networks

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Computers, Materials & Continua 2024年第3期78卷 3195-3213页

作者： k.B.Ajeyprasaath p.Vetrivelan School of Electronics Engineering Vellore Institute of TechnologyChennaiTamil Nadu600127India

Video streaming applications have grown considerably in recent *** a result,this becomes one of the most significant contributors to global internet *** to recent studies,the telecommunications industry loses millions of dollars due to poor video Quality of Experience(QoE)for *** the standard proposals for standardizing the quality of video streaming over internet service providers(ISps)is the Mean Opinion Score(MOS).However,the accurate finding of QoE by MOS is subjective and laborious,and it varies depending on the user.A fully automated data analytics framework is required to reduce the inter-operator variability characteristic in QoE *** work addresses this concern by suggesting a novel hybrid XGBStackQoE analytical model using a two-level layering *** one combines multiple Machine Learning(ML)models via a layer one Hybrid *** ML models at level one are trained using the entire training data *** level two Hybrid XGBStackQoE-Model is fitted using the outputs(meta-features)of the layer one ML *** proposed model outperformed the conventional models,with an accuracy improvement of 4 to 5 percent,which is still higher than the current traditional *** proposed framework could significantly improve video QoE accuracy.

关键词： Hybrid XGBStackQoE-model machine learning MOS performance metrics QoE 5G video services

MOSFET-like CNFET based logic gate library for low-power application:a comparative study

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Journal of Semiconductors 2014年第7期35卷 112-124页

作者： p.A.Gowri Sankar k.Udhayakumar Department of Electrical Engineering Anna University

The next generation oflogic gate devices are expected to depend upon radically new technologies mainly due to the increasing difficulties and limitations of existing CMOS technology. MOSFET like CNFETs should ideally be the best devices to work with for high-performance VLS1. This paper presents results of a comprehensive comparative study of MOSFET-like carbon nanotube field effect transistors （CNFETs） technology based logic gate library for high-speed, low-power operation than conventional bulk CMOS libraries. It focuses on comparing four promising logic families namely： complementary-CMOS （C-CMOS）, transmission gate （TG）, complementary pass logic （CpL） and Domino logic （DL） styles are presented. Based on these logic styles, the proposed library of static and dynamic NAND-NOR logic gates, XOR, multiplexer and full adder functions are implemented efficiently and carefully analyzed with a test bench to measure propagation delay and power dissipation as a function of supply voltage. This analysis provides the right choice of logic style for low-power, high-speed applications. proposed logic gates libraries are simulated using Synopsys HSpICE based on the standard 32 nm CNFET model. The simulation results demonstrate that, it is best to use C-CMOS logic style gates that are implemented in CNFET technology which are superior in performance compared to other logic styles, because of their low average powerdelay-product （pDp）. The analysis also demonstrates how the optimum supply voltage varies with logic styles in ultra-low power systems. The robustness of the proposed logic gate library is also compared with conventional and state-art of CMOS logic gate libraries.

关键词： CNFET digital integrated circuits logic gate design low-voltage low-power logic styles

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Communications in Theoretical physics 2017年第3期67卷 327-336页

作者： G.Nath p.k.Sahu Department of Mathematics Motilal Nehru National Institute of Technology Allahabad Allahabad-211004Uttar Pradesh India

A self-similar flow behind a cylindrical shock wave is studied under the action of monochromatic radiation in a rotational axisymmetric dusty gas. The dusty gas is taken to be a mixture of small solid particles and perfect gas,and solid particles are continuously distributed in the mixture. The similarity solutions are obtained and the effects of the variation of the radiation parameter, the ratio of the density of solid particles to the initial density of the gas, the mass concentration of solid particles in the mixture and the index for the time dependent energy law are *** is observed that an increase in the radiation parameter has decaying effect on the shock waves; whereas the shock strength increases with an increase in the ratio of the density of solid particles to the initial density of the gas or the index for the time dependent energy law. Also, it is found that an increase in the radiation parameter has effect to decrease the flow variables except the density and the azimuthal component of fluid velocity. A comparison is also made between rotating and non-rotating cases.

关键词： rotating dusty gas self-similar flow shock wave monochromatic radiation

Some Investigations on Hybrid Fuzzy IpD Controllers for proportional and Derivative kick Suppression

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International Journal of Automation and computing 2016年第5期13卷 516-528页

作者： Vineet kumar k.p.S.Rana Division of Instrumentation and Control Engineering Netaji Subhas Institute of Technology(NSIT)

proportional and derivative kick i.e., a large change in control action of a proportional plus integral plus derivative （pID） controller due to a sudden change in reference set-point is generally undesired in process industry. Therefore, the structure of conventional parallel pID controller is modified to integral minus proportional derivative （I-pD） controller. In this paper, three hybrid fuzzy IpD controllers such as a fuzzy I-fuzzy pD （FI-FpD） controller and its hybrid combinations with its conventional counterpart such as fuzzy I-pD （FI-pD） and I-fuzzy pD （I-FpD） are presented in view of above industrial problem. These controllers are based upon the counterpart conventional I-pD controller and contains analytical formulae. Computer simulations are carried out to evaluate the performance of hybrid fuzzy controllers along with conventional I-pD and pID controllers for set-point tracking and disturbance rejection for an induction motor in closed loop using LabVIEWTM environment. The gains of conventional and hybrid fuzzy controllers are tuned using genetic algorithm （GA） for minimum overshoot and settling time. It has been observed that hybrid fuzzy controllers along with the conventional I-pD controller significantly remove the kick from the control action in reference set-point tracking. However, in disturbance rejection, I-pD and FI-pD controllers fail to eliminate the kick from the control signal. In contrast, FI-FpD and I-FpD controllers considerably reduced spikes from the control action in disturbance rejection. Among the conventional and hybrid fuzzy IpD controllers, FI--FpD demonstrates much better set-point tracking and disturbance rejection response with spike free control action.

关键词： proportional plus integral plus derivative (pID) integral minus proportional derivative (I-pD) hybrid fuzzy IpD con- troller proportional kick derivative kick.

An Automated player Detection and Tracking in Basketball Game

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Computers, Materials & Continua 2019年第3期58卷 625-639页

作者： p.k.Santhosh B.kaarthick Anna University ChennaiTamilnadu600025India Coimbatore Institute of Engineering and Technology CoimbatoreTamilnadu641109India.

Vision-based player recognition is critical in sports ***,efficiency,and Low memory utilization is alluring for ongoing errands,for example,astute communicates and occasion *** developed an algorithm that tracks the movements of different players from a video of a basketball *** their position tracked,we then proceed to map the position of these players onto an image of a basketball *** purpose of tracking player is to provide the maximum amount of information to basketball coaches and organizations,so that they can better design mechanisms of defence and ***,our model has a high degree of identification and tracking of the players in the *** directed investigations on soccer,basketball,ice hockey and pedestrian *** trial comes about an exhibit that our technique can precisely recognize players under testing *** and CNNs that are adjusted from general question identification systems,for example,Faster-RCNN,our approach accomplishes cutting edge exactness on three sorts of recreations(basketball,soccer and ice hockey)with 1000×fewer *** all-inclusive statement of our technique is additionally shown on a standard passer-by recognition dataset in which our strategy accomplishes aggressive execution contrasted and cutting-edge methods.

关键词： player detection basketball game player tracking court detection color classification mapping pedestrian detection heat map