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Open Journal of Polymer Chemistry 2015年第4期5卷 47-54页

作者： k. prabha H. S. Jayanna Department of Physics Kuvempu University Shankaraghatta Shimoga India

PVA(1-x)PSx (x = 0.0, 0.25, 0.50, 0.75 and 1.0) polymer blend films were prepared by simple solution cast method using mixer of dimethyl sulphoxide (DMSO) and double distilled water (DDW) as a common solvent. Gamma irradiation studies have been carried out to investigate the potential for improvements in the electrical properties of pure and blend polymer film. The induced changes in the dielectric constant (εr), dielectric loss (tanδ) and AC conductivity (σac) properties for the unirradiated and irradiated films were studied, in the frequency range 50 Hz - 5 MHz at room temperature (27°C). Further, it was seen that the frequency dependent dielectric constant, dielectric loss and AC conductivity were found to increase with increasing γ irradiation dose for all the PVA(1-x)PSx (x = 0.0, 0.25, 0.50, 0.75 and 1.0) polymer blends. The maximum σac at 1 k.z frequency was observed to be 2.4421 × 10-6 s/m (at room temperature) for PVA film irradiated at 1.5 k.y.

关键词： Polymer Composite Films Gamma Irradiation Dielectric Properties

Understand Students Feedback.Using Bi-Integrated CRF Model Based Target Extraction

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Computer Systems Science & Engineering 2022年第2期40卷 735-747页

作者： k.Sangeetha D.prabha Department of Computer Science and Engineering Panimalar Engineering CollegeChennai600123India Department of Computer Science and Engineering Sri Krishna College of Engineering and TechnologyCoimbatore641008India

Educational institutions showing interest to find the opinion of the students about their course and the instructors to enhance the teaching-learning *** this,most research uses sentiment analysis to track.students’*** sentence-level sentiment analysis focuses on the whole sentence *** studies show that the sentiments alone are not enough to observe the feeling of the students because different words express different sentiments in a *** is a need to extract the targets in a given sentence which helps to find the sentiment towards those *** extraction is the subtask.of targeted sentiment *** this paper,we proposed the innovative model to find the targets of the given sentence using Bi-Integrated Conditional Random Fields(CRF).A Parallel fusion neural network.model is designed to perform this *** evaluate the model using the Michigan dataset and we build a dataset for target extraction from student *** experimental results show that our proposed fusion model achieves better results compared to baseline models.

关键词： Feedback sentimental analysis deeplearning integrated CRF

Complement of the reduced non-zero component graph of free semimodules

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Applied Mathematics(A Journal of Chinese Universities) 2023年第1期38卷 1-15页

作者： T.Tamizh Chelvam k.prabha Ananthi Department of Mathematics Manonmaniam Sundaranar UniversityTirunelveli 627012Tamil NaduIndia

Let M be a finitely generated free semimodule over a semiring S with identity having invariant basis number property with a basisα={α1,...,αk..The complement■of the reduced non-zero component graph■of M,is the simple undirected graph with■as the vertex set and such that there is an edge between two distinct vertices■and■if and only if there exists no i such that both ai,biare *** this paper,we show that the graph■is connected and find its domination number,clique number and chromatic *** the case of finite semirings,we determine the degree of each vertex,order,size,vertex connectivity and girth of■.Also,we give a necessary and sufficient condition for■to be Eulerian or Hamiltonian or planar.

关键词： semiring modules planar

Effective inventory management using postponement strategy with fuzzy cost

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Journal of Management Analytics 2022年第2期9卷 232-260页

作者： k.V.Geetha M.prabha Department of Mathematics Sri S.Ramasamy Naidu Memorial CollegeSattur 626203Tamil NaduIndia Department of Mathematics PSNA College of Engineering and TechnologyDindigul 624622Tamil NaduIndia Department of Mathematics Research and Development CentreBharathiar UniversityCoimbatore 641046Tamil NaduIndia

In this article, we consider a two level supply chain to evaluate the impact ofpostponement strategy on the retailer. Here the cost parameters are *** distance method is used to defuzzify and to obtain the estimation of thetotal cost in the fuzzy sense. The common variable production cost, commonfixed cost and the common unit holding cost per unit time are assumed to befuzzy in nature. Inventory models are formulated for postponement system andindependent system such that the total average inventory cost function per unittime is minimized. Algorithms are given to derive the optimal solutions of theproposed model. Theoretical analysis and the computational procedure helps tostudy the impact of deterioration rate on the optimal inventory policies. Acomparative study between the postponement system and independent systemconsidering fuzzy costs is also made.

关键词： postponement strategy perishable items trapezoidal fuzzy number triangular fuzzy number signed distance method inventory

Clinical trial:Lactobacillus plantarum 299v(DSM 9843)improves symptoms of irritable bowel syndrome

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World Journal of Gastroenterology 2012年第30期18卷 4012-4018页

作者： Philippe Ducrotté prabha Sawant Venk.taraman Jayanthi Department of Gastroenterology(Inserm UMR-1073) Rouen University Hospital and Rouen University76031 Rouen CedexFrance Department of Gastroenterology Lokmanya Tilak Municipal Medical College and Lokmanya Tilak Municipal General HospitalMumbai 400022India Department of Gastroenterology Gov Stanley HospitalChennai 600108India

AIM:To assess the symptomatic efficacy of Lactobacillus plantarum 299v(*** 299v)(DSM 9843) for the relief of abdominal symptoms in a large subset of irritable bowel syndrome(IBS) patients fulfilling the Rome Ⅲ ***:In this double blind,placebo-controlled,parallel-designed study,subjects were randomized to daily receive either one capsule of *** 299v(DSM 9843) or placebo for 4 *** and intensity of abdominal pain,bloating and feeling of incomplete rectal emptying were assessed week.y on a visual analogue scale while stool frequency was ***:Two hundred and fourteen IBS patients were *** 4 wk.both pain severity(0.68 + 0.53 vs 0.92 + 0.57,P k.4,78.1 % of the patients scored the *** 299v(DSM 9843) symptomatic effect as excellent or good vs only 8.1 % for placebo(P k.treatment with *** 299v(DSM 9843) provided effective symptom relief,particularly of abdominal pain and bloating,in IBS patients fulfilling the Rome Ⅲ criteria.

关键词： Irritable bowel syndrome Probiotics Lactobacillus plantarum 299v Clinical trial Abdominal pain

Ensemble Variable Selection for Naive Bayes to Improve Customer Behaviour Analysis

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Computer Systems Science & Engineering 2022年第4期41卷 339-355页

作者： R.Siva Subramanian D.prabha Anna University Chennai600025India Department of Computer Science and Engineering Sri Krishna College of Engineering and TechnologyCoimbatore641008India

Executing customer analysis in a systemic way is one of the possible solutions for each enterprise to understand the behavior of consumer patterns in an efﬁcient and in-depth *** investigation of customer patterns helps theﬁrm to develop efﬁcient decisions and in turn,helps to optimize the enter-prise’s business and maximizes consumer satisfaction *** con-duct an effective assessment about the customers,Naive Bayes(also called Simple Bayes),a machine learning model is ***,the efﬁcacious of the simple Bayes model is utterly relying on the consumer data used,and the existence of uncertain and redundant attributes in the consumer data enables the simple Bayes model to attain the worst prediction in consumer data because of its presumption regarding the attributes ***,in practice,the NB pre-mise is not true in consumer data,and the analysis of these redundant attributes enables simple Bayes model to get poor prediction *** this work.an ensem-ble attribute selection methodology is performed to overcome the problem with consumer data and to pick.a steady uncorrelated attribute set to model with the NB classiﬁ*** ensemble variable selection,two different strategies are applied:one is based upon data perturbation(or homogeneous ensemble,same feature selector is applied to a different subsamples derived from the same learning set)and the other one is based upon function perturbation(or heterogeneous ensemble different feature selector is utilized to the same learning set).Further-more,the feature set captured from both ensemble strategies is applied to NB indi-vidually and the outcome obtained is ***,the experimental outcomes show that the proposed ensemble strategies perform efﬁciently in choosing a steady attribute set and increasing NB classiﬁcation performance efﬁciently.

关键词： Naive bayes or simple bayes variable selection homogeneous ensemble heterogeneous ensemble customer prediction

Hybrid Swarm Algorithm for Multiobjective Optimal Power Flow Problem

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Circuits and Systems 2016年第11期7卷 3589-3603页

作者： k. Rajalashmi S. U. prabha Department of Electrical and Electronics Engineering Bannari Amman Institute of Technology Sathyamangalam India Department of Electrical and Electronics Engineering Sri Ramakrishna Engineering College Coimbatore India

Optimal power flow problem plays a major role in the operation and planning of power systems. It assists in acquiring the optimized solution for the optimal power flow problem. It consists of several objective functions and constraints. This paper solves the multiobjective optimal power flow problem using a new hybrid technique by combining the particle swarm optimization and ant colony optimization. This hybrid method overcomes the drawback.in local search such as stagnation and premature convergence and also enhances the global search with chemical communication signal. The best results are extracted using fuzzy approach from the hybrid algorithm solution. These methods have been examined with the power flow objectives such as cost, loss and voltage stability index by individuals and multiobjective functions. The proposed algorithms applied to IEEE 30 and IEEE 118-bus test system and the results are analyzed and validated. The proposed algorithm results record the best compromised solution with minimum execution time compared with the particle swarm optimization.

关键词： Multiobjective OPF Optimization Hybrid

Experimental,analytical and numerical studies on concrete encased trapezoidally web profiled cold-formed steel beams by varying depth-thick.ess ratio

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Frontiers of Structural and Civil Engineering 2020年第4期14卷 930-946页

作者： Divahar RAVI Aravind Raj PONSUBBIAH Sangeetha Sreek.niar prabha Joanna Philip SARATHA Department of Civil Engineering Aarupadai Veedu Institute of TechnologyChennai 603104India Department of Civil Engineering Hindustan Institute of Technology and ScienceChennai 603103India

Concrete encased with trapezoidally corrugated web profiled cold-formed steel beams are used worldwide to improve resistance toward fire and corrosion,higher load carrying capacity as well as significant increase in the bending stiffness by encasing concrete on the beam *** present work.gives a detailed description on the experimental,analytical and numerical investigation on the flexural behavior of concrete encased trapezoidally corrugated web profiled cold-formed steel beams which were simply supported at both ends and subjected to two point symmetric *** flexural behavior of such structure has been experimentally tested to failure under pure *** find the effct of concrete encasement in the web,12 experiments were conducted by two different *** having three different web corrugation angles of 0°,30°,and 45°with two different web depth-thick.ess(dw/tw)ratios of 60 and 80 were *** results such as load-deflection relationship,ultimate capacity,load-strain relationship,moment-curvature curves,ductility and failure mode indices of the specimens are *** the static bending tests the concrete encased trapezoidally corugated web beam showed improved moment carrying capacity,ductility bchavior and the resistance to transverse deflections in comparison to concrete encased with plain web *** for the beams with concrete encased 30°trapezoidally corrugated web having(dw/tw)ratio 60 and 80,the loading capacity was improved about 54%and 67.3%and the ductility also increased about l.6 and 3.6 times,when compared to concrete encased beams with plain *** research should contribute to the future engineering applications on seismic resistant structures and efficient usage of concrete encased with cold-formed steel beams by exhibiting its super elasto-plastic *** analytical and numerical results showed good agreement with the experimental results at yield load,which indicates that the proposed analyti

关键词： concrete encased beam trapezoidally corrugated web loading capacity super elasto-plastic

A Cyber-Attack.Detection System Using Late Fusion Aggregation Enabled Cyber-Net

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Intelligent Automation & Soft Computing 2023年第6期36卷 3101-3119页

作者： P.Shanmuga prabha S.Magesh k.mar Department of Computer Science and Engineering Saveetha School of EngineeringSaveetha Institute of Medical and Technical Sciences(Deemed to be University)ChennaiTamilnaduIndia

Today,securing devices connected to the internet is challenging as security threats are generated through various *** protection of cyber-physical systems from external attack. is a primary *** presented method is planned on the prime motive of detecting cybersecurity attack. and their impacted *** proposed architecture employs the LYSIS dataset and formulates Multi Variant Exploratory Data Analysis(MEDA)through Principle Component Analysis(PCA)and Singular Value Decompo-sition(SVD)for the extraction of unique *** feature mappings are analyzed with Recurrent 2 Convolutional Neural Network.R2CNN)and Gradient Boost Regression(GBR)to identify the maximum *** Late Fusion Aggregation enabled with Cyber-Net(LFAEC)is the robust derived *** quantitative analysis uses predicted threat points with actual threat variables from which mean and difference vectors *** performance of the presented system is assessed against the parameters such as Accuracy,Precision,Recall,and F1 *** proposed method outperformed by 98% to 100% in all quality measures compared to existing methods.

关键词： External attack. cyber-physical systems principle component analysis singular value decomposition recurrent 2 convolutional neural network gradient boost regression

An Efficient Stack.d-LSTM Based User Clustering for 5G NOMA Systems

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Computers, Materials & Continua 2022年第9期72卷 6119-6140页

作者： S.prabha k.maresan Chee k.ong Tan Yin Hoe Ng Faculty of Engineering Multimedia UniversityCyberjaya63100Malaysia School of Information Technology Monash UniversitySubang Jaya47500Malaysia

Non-orthogonal multiple access(NOMA)has been a k.y enabling technology for the fifth generation(5G)cellular *** on the NOMA principle,a traditional neural network.has been implemented for user clustering(UC)to maximize the NOMA system’s throughput performance by considering that each sample is independent of the prior and the subsequent ***,the prediction of UC for the future ones is based on the current clustering information,which is never used again due to the lack.of memory of the ***,to relate the input features of NOMA users and capture the dependency in the clustering information,time-series methods can assist us in gaining a helpful insight into the *** its mathematical complexity,the essence of time series comes down to examining past behavior and extending that information into the ***,in this paper,we propose a novel and effective stack.d long short term memory(S-LSTM)to predict the UC formation of NOMA users to enhance the throughput performance of the 5G-based NOMA *** the proposed strategy,the S-LSTM is modelled to handle the time-series input data to improve the predicting accuracy of UC of the NOMA users by implementing multiple LSTM layers with hidden *** implemented LSTM layers have feedback.connections that help to capture the dependency in the clustering information as it propagates between the ***,we develop,train,validate and test the proposed model to predict the UC formation for the futures ones by capturing the dependency in the clustering information based on the time-series *** results demonstrate that the proposed scheme effectively predicts UC and thereby attaining near-optimal throughput performance of 98.94%compared to the exhaustive search method.

关键词： Non-orthogonal multiple access(NOMA) deep neural network.DNN) long short term memory(LSTM) temporal channel user clustering