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An ACO Look-Ahead Approach to QOs Enabled FaultTolerant Routing in MANETs

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China Communications 2015年第8期12卷 93-110页

作者： surendran. s Prakash. s Professor Department of Information TechnologyTagore Engineering College Professor Department of Electronics and Communication EngineeringJerusalem College of Engineering

MANET routing is critical and routing decision should be made sooner before the node leaves the *** decisions always compensate network *** addition,most MANET routing protocols assume a friendly and cooperative environment,and hence are vulnerable to various *** and Reputation would serve as a major solution to these *** the network characteristics and choosing right routing decisions at right times would be a significant *** this work,we have done an extensive survey of fault tolerant protocols and ant colony algorithms applied to routing in *** propose a Qos constrained fault tolerant ant lookahead routing algorithm which attempts to identify valid route and look-ahead route pairs which might help in choosing the alternate path in case of valid route *** results prove that the proposed algorithm takes better routing decisions with 20-30 percent improvement compared with existing ant colony algorithms.

关键词： routing fault-tolerant ant colonyalgorithms MANETs Qos trust reputation

Energy Prediction in IoT systems Using Machine Learning Models

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Computers, Materials & Continua 2023年第4期75卷 443-459页

作者： s.Balaji s.Karthik Department of ECE SRM Institute of Science and TechnologyVadapalani CampusNo1 Jawaharlal Nehru RoadVadapalani600026TNIndia

The Internet of Things (IoT) technology has been developed fordirecting and maintaining the atmosphere in smart buildings in real time. Inorder to optimise the power generation sector and schedule routine maintenance,it is crucial to predict future energy demand. Electricity demandforecasting is difficult because of the complexity of the available demandpatterns. Establishing a perfect prediction of energy consumption at thebuilding’s level is vital and significant to efficiently managing the consumedenergy by utilising a strong predictive model. Low forecast accuracy is justone of the reasons why energy consumption and prediction models havefailed to advance. Therefore, the purpose of this study is to create an IoTbasedenergy prediction (IoT-EP) model that can reliably estimate the energyconsumption of smart buildings. A real-world test case on power predictionsis conducted on a local electricity grid to test the practicality of the *** proposed (IoT-EP) model selects the significant features as input neurons,the predictable data is selected as output nodes, and a multi-layer perceptronis constructed along with the features of the Convolution Neural Network(CNN) algorithm. The analysis of the proposed IoT-EP model has higheraccuracy of 90%, correlation of 89%, and variance of 16% in less training timeof 29.2 s, and with a higher prediction speed of 396 (observation/sec). Whencompared to existing models, the results showed that the proposed (IoT-EP)model outperforms with a satisfactory level of accuracy in predicting energyconsumption in smart buildings.

关键词： Machine learning wireless networks internet of things energy prediction

Recent progress in superhydrophobic and superamphiphobic coatings for magnesium and its alloys

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Journal of Magnesium and Alloys 2021年第3期9卷 748-778页

作者： Viswanathan s.saji Center of Research Excellence in Corrosion King Fahd University of Petroleum&Minerals(KFUPM)Dhahran 31261Saudi Arabia

superhydrophobic coatings are projected as a practical approach to tackle the weak aqueous corrosion resistance of Mg/Mg *** present review provides the most recent updates in this *** various low surface energy treatments reported are presented first,followed by the methods employed for developing hierarchical surface micro/*** works in different application areas,including anti-corrosion,biomedical and anti-icing are systematically *** descriptions of self-healing characteristics and long-term durability of the superhydrophobic surfaces *** on superamphiphobic surfaces also deliberated.

关键词： Magnesium Mg alloys superhydrophobic superamphiphobic Coatings self-healing Corrosion

solving Fully Fuzzy Nonlinear Eigenvalue Problems of Damped spring-Mass structural systems Using Novel Fuzzy-Affine Approach

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Computer Modeling in Engineering & sciences 2019年第12期121卷 947-980页

作者： s.Rout s.Chakraverty Department of Mathematics National Institute of Technology RourkelaOdishaIndia

The dynamic analysis of damped structural system by using finite element method leads to nonlinear eigenvalue problem(NEP)(particularly,quadratic eigenvalue problem).In general,the parameters of NEP are considered as exact *** in actual practice because of different errors and incomplete information,the parameters may have uncertain or vague values and such uncertain values may be considered in terms of fuzzy *** article proposes an efficient fuzzy-affine approach to solve fully fuzzy nonlinear eigenvalue problems(FNEPs)where involved parameters are fuzzy numbers *** and *** on the parametric form,fuzzy numbers have been transformed into family of standard *** due to the presence of interval overestimation problem in standard interval arithmetic,affine arithmetic based approach has been *** the proposed method,the FNEP has been linearized into a generalized eigenvalue problem and further solved by using the fuzzy-affine *** application problems of structures and also general NEPs with fuzzy parameters are investigated based on the proposed ***,fuzzy eigenvalue bounds are illustrated with fuzzy plots with respect to its membership *** comparisons are also demonstrated to show the reliability and efficacy of the present approach.

关键词： Fuzzy nonlinear eigenvalue problem fuzzy set theory affine arithmetic interval overestimation problem triangular fuzzy number trapezoidal fuzzy number fuzzy-affine approach

Advancing Brain Tumor Analysis through Dynamic Hierarchical Attention for Improved segmentation and survival Prognosis

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Computers, Materials & Continua 2023年第12期77卷 3835-3851页

作者： s.Kannan s.Anusuya Department of Computer science and Engineering Malla Reddy College of EngineeringSecunderabadTelunganaIndia Department of Information Technology Saveetha School of EngineeringSaveetha Institute of Medical and Technical SciencesSIMATSChennaiTamil Nadu602117India

Gliomas,the most prevalent primary brain tumors,require accurate segmentation for diagnosis and risk *** this paper,we develop a novel deep learning-based method,the Dynamic Hierarchical Attention for Improved segmentation and survival Prognosis(DHA-IssP)*** DHA-IssP model combines a three-band 3D convolutional neural network(CNN)U-Net architecture with dynamic hierarchical attention mechanisms,enabling precise tumor segmentation and survival *** DHA-IssP model captures fine-grained details and contextual information by leveraging attention mechanisms at multiple levels,enhancing segmentation *** achieving remarkable results,our approach surpasses 369 competing teams in the 2020 Multimodal Brain Tumor segmentation *** a Dice similarity coefficient of 0.89 and a Hausdorff distance of 4.8 mm,the DHA-IssP model demonstrates its effectiveness in accurately segmenting brain *** also extract radio mic characteristics from the segmented tumor areas using the DHA-IssP *** applying cross-validation of decision trees to the selected features,we identify crucial predictors for glioma survival,enabling personalized treatment *** the DHA-IssP model and the desired features,we assess patients’overall survival and categorize survivors into short,mid,in addition to long *** proposed work achieved impressive performance metrics,including the highest accuracy of 0.91,precision of 0.84,recall of 0.92,F1 score of 0.88,specificity of 0.94,sensitivity of 0.92,area under the curve(AUC)value of 0.96,and the lowest mean absolute error value of 0.09 and mean squared error value of *** results clearly demonstrate the superiority of the proposed system in accurately segmenting brain tumors and predicting survival outcomes,highlighting its significant merit and potential for clinical applications.

关键词： survival prediction 3D multimodal MRI brain tumors segmentation CNN U-Net deep learning

Novel model of thermo-magneto-viscoelastic medium with variable thermal conductivity under effect of gravity

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Applied Mathematics and Mechanics(English Edition) 2020年第5期41卷 819-832页

作者： s.M.sAID Department of Mathematics Faculty of ScienceZagazig UniversityZagazig 44519Egypt Department of Mathematics Faculty of Science and ArtsQassim UniversityBuridah 51931Al-mithnabKingdom of Saudi Arabia

The basic equations for a homogeneous and isotropic thermo-magnetoviscoelastic medium are formulated based on three different theories, i.e., the GreenLindsay(G-L) theory, the coupled(CD) theory, and the Lord-shulman(L-s) theory. The variable thermal conductivity is considered as a linear function of the temperature. Using suitable non-dimensional variables, these basic equations are solved via the eigenvalue approach. The medium is initially assumed to be stress-free and subject to a thermal *** numerical results reveal that the viscosity, the two-temperature parameter, the gravity term, and the magnetic field significantly influence the distribution of the physical quantities of the thermoelastic medium.

关键词： eigenvalue approach variable thermal conductivity thermo-viscoelastic gravity field

Hybrid Cloud security by Revocable KUNodes-storage with Identity-Based Encryption

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Computer systems science & Engineering 2022年第12期43卷 985-996页

作者： s.saravanakumar s.Chitra Department of Information Technology Paavai Engineering CollegeNamakkal637018India Department of Computer science and Engineering Er.Perumal Manimekalai College of EngineeringHosur63117India

Cloud storage is a service involving cloud service providers providingstorage space to customers. Cloud storage services have numerous advantages,including convenience, high computation, and capacity, thereby attracting usersto outsource data in the cloud. However, users outsource data directly via cloudstage services that are unsafe when outsourcing data is sensitive for users. Therefore, cipher text-policy attribute-based encryption is a promising cryptographicsolution in a cloud environment, and can be drawn up for access control by dataowners (DO) to define access policy. Unfortunately, an outsourced architectureapplied with attribute-based encryption introduces numerous challenges, including revocation. This issue is a threat to the data security of DO. Furthermore,highly secure and flexible cipher text-based attribute access control with role hierarchy user grouping in cloud storage is implemented by extending the KUNodes(revocation) storage identity-based encryption. Result is evaluated using Cloudsim, and our algorithm outperforms in terms of computational cost by consuming32 MB for 150-MB files.

关键词： Cloud computing storage identification based revocation attribute based access control encryption decryption

seismic performance of precast shear wall-slab connection under cyclic loading: experimental test vs. numerical analysis

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Earthquake Engineering and Engineering Vibration 2020年第3期19卷 739-757页

作者： Arthi s Jaya KP Department of Civil Engineering Anna UniversityChennai 600025India

The structural behaviour of precast shear wall-diaphragm connection was compared with the monolithic connection under seismic *** monolithic connection was made by using U-bars connecting shear wall and slab,and the precast connection was made by using dowel bars in two ***,U-shaped dowel bars from the precast shear wall lower panel and precast slab were connected by the longitudinal reinforcement,and screed concreting was done above the precast ***,the shear wall upper panel was connected using the dowel bar protruding from the shear wall lower *** gap between the dowel bars and the duct was filled with non-shrink *** specimens were subjected to reverse cyclic loading at the ends of the *** study also aimed to develop a 3-D numerical model using ABAQUs *** non-linear properties of concrete were defined by using the concrete damaged plasticity(CDP)model to analyse the response of the *** precast dowel connection between the shear wall and slab showed superior performance concerning ductility,strength,stiffness and energy *** developed finite element model exactly predicted the behaviour of connections as similar to that of experimental testing in the *** average difference between the results from finite element analysis and experimental testing was less than 20%.The results point to the conclusion that the shear resistance is provided by the dowel bars and the stiffness of the precast specimen is due to the diaphragm action of the precast *** damage parameter and the interaction between structural members play a crucial role in the modelling of precast connections.

关键词： precast loading stiffness

Population Ecology of the Endangered Himalayan Yew in Khokhan Wildlife sanctuary of North Western Himalaya for Conservation Management

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Journal of Mountain science 2008年第3期5卷 257-264页

作者： shreekar Pant s.s.samant Centre for Biodiversity studies School of Biosciences & BiotechnologyBaba Ghulam Shah Badshah UniversityRajouriJ&KIndia G.B.Pant Institute of Himalayan Environment & Development Himachal UnitMohal-Kullu-175126Himachal PradeshIndia

The Himalayan Yew (Taxus baccata subsp. wallichiana) is an endangered native high value medicinal plant of the Himalayan Region. The several medicinal properties of the bark and leaves of this species have increased its risk of extinction due to pressures for utilization. It is also subjected to harvest for fuelwood. The species does not regenerate well from seed and that is another risk factor. The objective of this research was to investigate the population ecology of the species as a foundation for its conservation. six forest communities in the Khokhan Wildlife sanctuary where the species is present were sampled. The abundance of the species, impacts of harvesting and its current regeneration patterns indicate that it may soon be extirpated from the sanctuary. A plan for conserving the remaining sub-populations is presented. It could provide a template for conservation in other locations where the species is at risk.

关键词： Anthropogenic Pressure Conservation Management Himalayan Yew Khokhan Wildlife sanctuary Regeneration