552 research outputs found
Development and analysis of environmental friendly biocomposite films with pomegranate peel as filler for conventional applications
No full textThe work aims to probe the chances of utilizing the waste of pomegranate peel powder as a filler material alongside the polymer matrix. PVA is used as a polymer matrix in this study and the improvisation of its properties are the main objective by utilizing the pomegranate peel powder. By solution casting method, PVA/PP biocomposite films were prepared with varying weight % (0%, 5%, 10%, 15%, and 20%) of pomegranate peel powder and are examined with FTIR, XRD, morphological studies, thermal analysis, tensile property, antibacterial test, and degradation test. The biodegradable films’ tensile strength was discovered to be 18.5 MPa, a 35% increase over films devoid of essential oil. The use of essential oil improved the thermal stability as well; the beginning degradation temperature increased by 40% to 210°C. Additionally, antimicrobial tests showed a 92% decrease in bacterial growth, demonstrating the essential oil’s effectiveness as an antibacterial agent. In order to evaluate the barrier qualities of the films, water vapor permeability was tested. It was discovered that the water vapor transfer rate was 2.3 g/m2/day, demonstrating remarkable resistance to moisture permeability. The aforementioned tests indicate that the use of pomegranate peel powder and PVA in biocomposite films results in improved biodegradation, as well as antibacterial activity, and that can be utilized in various eco-friendly applications. In the same way, they show improved tensile as well as thermal properties which suggest the utilization as packaging materials
Exponential Stability, Passivity, and Dissipativity Analysis of Generalized Neural Networks With Mixed Time-Varying Delays
No full textIn this paper, we analyze the exponential stability, passivity, and (Q,S,R)-ɣ-dissipativity of generalized neural networks (GNNs) including mixed time-varying delays in state vectors. Novel exponential stability, passivity, and (Q,S,R)-ɣ-dissipativity criteria are developed in the form of linear matrix inequalities for continuous-time GNNs by constructing an appropriate Lyapunov-Krasovskii functional (LKF) and applying a new weighted integral inequality for handling integral terms in the time derivative of the established LKF for both single and double integrals. Some special cases are also discussed. The superiority of employing the method presented in this paper over some existing methods is verified by numerical examples
Robust Stabilization of Delayed Neural Networks: Dissipativity-Learning Approach
No full textThis paper examines the robust stabilization problem of continuous-time delayed neural networks via the dissipativity-learning approach. A new learning algorithm is established to guarantee the asymptotic stability as well as the (Q, S, R)-alpha-dissipativity of the considered neural networks. The developed result encompasses some existing results, such as H-infinity and passivity performances, in a unified framework. With the introduction of a Lyapunov-Krasovskii functional together with the Legendre polynomial, a novel delay-dependent linear matrix inequality (LMI) condition and a learning algorithm for robust stabilization are presented. Demonstrative examples are given to show the usefulness of the established learning algorithm
Residual strength estimation and damage characterization by acoustic emission of drilled thermally conditioned fiberglass laminates
No full textStructural components of composite materials in aerospace industries are assembled using fasteners, installed by performing cutting processes, such as drilling, on the material. In composites, this is considered particularly critical, because delamination due to mechanical stresses and fiber/resin pullout may be facilitated during cutting, so that the structural integrity of composite laminates may be affected. Acoustic emission (AE) technique is employed to monitor the failure modes and damage mechanism of drilled composite materials, while in an attempt to improve the strength of the composites, thermal conditioning has been applied. This paper investigates the residual performance of drilled unidirectional glass fiber reinforced plastic (GFRP) laminates subjected to various thermal conditioning methods. Thermally treated laminates underwent three-point flexural tests under AE monitoring to compare their residual strength with the untreated ones. The results clearly show that the thermal conditioning could be used as an effective method for minimizing delamination in GFRPs
WITHDRAWN: Analytical solution of an amperometric biosensor based on catalase-peroxidase biochemical reactions using Homotopy perturbation method
No full textThis article has been withdrawn at the request of the author(s) and/or editor. The Publisher apologizes for any inconvenience this may cause. The full Elsevier Policy on Article Withdrawal can be found at http://www.elsevier.com/locate/withdrawalpolicy
Finite-Time Passivity-Based Stability Criteria for Delayed Discrete-Time Neural Networks via New Weighted Summation Inequalities
No full textIn this paper, we study the problem of finite-time stability and passivity criteria for discrete-time neural networks (DNNs) with variable delays. The main objective is how to effectively evaluate the finite-time passivity conditions for NNs. To achieve this, some new weighted summation inequalities are proposed for application to a finite-sum term appearing in the forward difference of a novel Lyapunov-Krasovskii functional, which helps to ensure that the considered delayed DNN is passive. The derived passivity criteria are presented in terms of linear matrix inequalities. A numerical example is given to illustrate the effectiveness of the proposed results
Residual strength estimation and damage characterization by acoustic emission of drilled thermally conditioned fiberglass laminates
No full textStructural components of composite materials in aerospace industries are assembled using fasteners, installed by performing cutting processes, such as drilling, on the material. In composites, this is considered particularly critical, because delamination due to mechanical stresses and fiber/resin pullout may be facilitated during cutting, so that the structural integrity of composite laminates may be affected. Acoustic emission (AE) technique is employed to monitor the failure modes and damage mechanism of drilled composite materials, while in an attempt to improve the strength of the composites, thermal conditioning has been applied. This paper investigates the residual performance of drilled unidirectional glass fiber reinforced plastic (GFRP) laminates subjected to various thermal conditioning methods. Thermally treated laminates underwent three-point flexural tests under AE monitoring to compare their residual strength with the untreated ones. The results clearly show that the thermal conditioning could be used as an effective method for minimizing delamination in GFRPs
Defensing Confidentiality During Complete Packet Inspection On A Middlebox
No full textIn Internet to encrypt traffic, HTTPS provides secure and private data communication between clients and servers. Network operators often deploy middleboxes to perform deep packet inspection DPI to detect attacks using techniques ranging from simple keyword matching to more advanced machine learning and data mining analysis. But this approach cannot protect users' private information from a service provider who deploys middleboxes. SPABox, a middlebox based system that supports both keyword based and data analysis based DPI functions over encrypted traffic. SPABox preserves privacy by using a novel protocol with a limited connection setup overhead. In this paper to further improve the performance, we are working on the network performance requirements. K. Geetharani | K. Kowsalya | A. M. SenthilKumar | M. S. Vijaykumar | M. Saravanakumar "Defensing Confidentiality During Complete Packet Inspection On A Middlebox" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-2 | Issue-3 , April 2018, URL: https://www.ijtsrd.com/papers/ijtsrd10725.pd
Differentials in Maternal and Child Health Care in Tamil Nadu
No full textThe present paper examines the rural urban differentials and the factors influencing net change in maternal and child healthcare MCH indicators during the National Family Health Survey NFHS 4 2015 16 and NFHS 3 2005 06 . The National Family Health Survey NFHS collected data from 28,820 ever married women in the age group of 15 49 and 5,317 men age 15 54 NFHS 4 and 5,919 women age 15 49 and 5,696 men age 15 54 NFHS 3 and this paper analyses these data. This paper describes about the trends in MCH indicators by residence, early childhood mortality rates, immunization and anemic status of women and children by using bivariate analysis and chi square test. The analysis reveals that there is a progress in MCH indicators and also there exist negative performance of certain indicators. Overall, there exits rural urban differentials in MCH achievements though government have introduced many government health programs like National Rural Health Mission NRHM , NUHM and NHM etc., The government have to take steps to reduce rural urban differentials in achieving MCH goals and to reduce early childhood mortality rates. V. Saravanakumar | Dr. C. Sivapragasam | Dr. S. Ravichandran "Differentials in Maternal and Child Health Care in Tamil Nadu" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-2 | Issue-3 , April 2018, URL: https://www.ijtsrd.com/papers/ijtsrd12790.pd
- …
