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Whale optimized routing path selection and 128 bit secured key management for maritime safety
Maharajan Arumugam,Kumar Parasuraman 대한조선학회 2024 International Journal of Naval Architecture and Oc Vol.16 No.-
The critical aspect in advancing global trade lies in ensuring security across marine trading systems. This research significantly contributes to monitoring ships by assessing operational performance parameters. These parameters are sensed through ship-attached sensors, and further transmitted to the cloud via an Internet of Things (IoT) Module. To optimize the efficiency of this data transfer to the cloud, the proposed work employs a Whale Optimization Algorithm-based Radial Basis Function Neural Network (WOA-RBFNN). The utilization of this algorithm enhances the overall effectiveness of the system. Furthermore, to address security concerns, a 128- bit Two Fish Algorithm-based key management is introduced, providing enhanced data protection. This dualfocus approach not only optimizes the efficiency of data transmission but also fortifies the system against potential cyber threats. These enhancements collectively contribute to the successful and secure transmission of information to the cloud advancing the security and efficiency of marine trading systems.
Maharajan Chinnamuniyandi,Raja Ramachandran,Jinde Cao,Grienggrai Rajchakit,Xiaodi Li 제어·로봇·시스템학회 2018 International Journal of Control, Automation, and Vol.16 No.2
This paper mainly focuses on a novel H∞ control design to handle the global robust exponential stability problem for uncertain stochastic neutral-type neural networks (USNNNs) with mixed time-varying delays. Here the delays are assumed to be both discrete and distributed, which means that the lower and upper bounds can be derived. Firstly, we draw a control law for stabilized and stability of the neutral-type neural networks (NNNs). Secondly, by employing the Lyapunov-Krasovskii functional(LKF) theory, Jensen’s integral inequality, new required sufficient conditions for the global robust exponential stability of the given neural networks (NNs) are established in terms of delay-dependent linear matrix inequalities (LMIs), which can be easily checked in practice. The conditions obtained are expressed in terms of LMIs whose feasibility can be verified easily by MATLAB LMI control toolbox. Moreover, we have compared our work with previous one in the existing literature and showed that it reduces conservatism. Finally, one numerical example with their simulations is given to validate the effectiveness of our proposed theoretical results.
Maharajan, Mari Kannan,Rajiah, Kingston,Num, Kelly Sze Fang,Yong, Ng Jin Asian Pacific Journal of Cancer Prevention 2015 Asian Pacific journal of cancer prevention Vol.16 No.14
The primary objective of this study was to assess the knowledge of medical students and determine variation between different cultural groups. A secondary aim was to find out the willingness to pay for cervical cancer vaccination and the relationships between knowledge and attitudes towards Human Papillomavirus vaccination. A cross-sectional survey was conducted in a private medical university between June 2014 and November 2014 using a convenient sampling method. A total of 305 respondents were recruited and interviewed with standard questionnaires for assessment of knowledge, attitudes and practice towards human papilloma virus and their willingness to pay for HPV vaccination. Knowledge regarding human papilloma virus, human papilloma virus vaccination, cervical cancer screening and cervical cancer risk factors was good. Across the sample, a majority (90%) of the pupils demonstrated a high degree of knowledge about cervical cancer and its vaccination. There were no significant differences between ethnicity and the participants' overall knowledge of HPV infection, Pap smear and cervical cancer vaccination. Some 88% of participants answered that HPV vaccine can prevent cervical cancer, while 81.5% of medical students said they would recommend HPV vaccination to the public although fewer expressed an intention to receive vaccination for themselves.
Hopf-bifurcation Analysis of a Delayed Model for the Treatment of Cancer using Virotherapy
Rajalakshmi, Maharajan,Ghosh, Mini Department of Mathematics 2022 Kyungpook mathematical journal Vol.62 No.1
Virotherapy is an effective method for the treatment of cancer. The oncolytic virus specifically infects the lyse cancer cell without harming normal cells. There is a time delay between the time of interaction of the virus with the tumor cells and the time when the tumor cells become infectious and produce new virus particles. Several types of viruses are used in virotherapy and the delay varies with the type of virus. This delay can play an important role in the success of virotherapy. Our present study is to explore the impact of this delay in cancer virotherapy through a mathematical model based on delay differential equations. The partial success of virotherapy is guarenteed when one gets a stable non-trivial equilibrium with a low level of tumor cells. There exits Hopf-bifurcation by considering the delay as bifurcation parameter. We have estimated the length of delay which preserves the stability of the non-trivial equilibrium point. So when the delay is less than a threshold value, we can predict partial success of virotherapy for suitable sets of parameters. Here numerical simulations are also performed to support the analytical findings.
Sivasubramanian, Maharajan,Park, Jae-Hyung The Korean Society of Pharmaceutical Sciences and 2010 Journal of Pharmaceutical Investigation Vol.40 No.4
The hyaluronic acid (HA) conjugate bearing $\alpha$-cyclodextrin ($\alpha$-CD) was synthesized as the potential carrier of poly(ethylene glycol) (PEG)-drug conjugates. The HA conjugate was prepared by the reaction between the carboxylic acid of HA and the primary amine of $\alpha$-CD in the presence of 1-ethyl-3-(3-dimethylaminopropyl) carbodiimide and 1-hydroxybenzotriazole. The chemical structure of the conjugate was confirmed using $^1H$ NMR and FT-IR spectroscopy. The conjugate could form nano-sized particles in the presence of PEG by forming the inclusion complexes between $\alpha$-CD at the backbone of HA, which was demonstrated using electrophoretic light scattering and field emission transmission electron microscopy. It is anticipated that this novel kind of nanoparticles can serve as a useful delivery system for PEGylated drugs.