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Heterogeneous crystallization of Chlorzoxazone for modulating the physicochemical properties of crystals Author links open overlay panel

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Particuology 2024年第8期91卷 249-259页

作者： Dhayananth Natarajan Kalaichelvi ponnusamy radhakrishnan Thota Karunakaran Department of Chemical Engineering National Institute of TechnologyTiruchirappalli620015TamilnaduIndia

The polymer on modulating the crystal's habit is an evolving research in pharmaceutical *** study demonstrates the crystal habit modification of chlorzoxazone(CHZ)by heterogeneous crystallization(HC)in the binary solvent acetonitrile-ethanol(A-E(1:1))in the presence of polyvinylpyrrolidine(PVP)at concentrations of 0.50,0.75,and 1.00 wt%.The A-E(1:1)and PVP in HC experiments influenced to change the shape of crystals from needle to plate shape and reduced the crystal size producing a lower aspect ratio(in the range of 1.5-2.3).In the presence of PVP,the CHZ size distribution is 65-78μm which tends to enhance the powder flow-ability of CHZ crystals and as the PVP concentration increases,the nucleation rate *** solubility of size-reduced CHZ crystals at different pH is found to be improved by 1.2-1.4 ***,HC is deemed effective in modifying the physicochemical attributes of CHZ.

关键词： Chlorzoxazone Polyvinylpyrrolidine Heterogeneous crystallization Crystal habit modification Aspect ratio

Hepatocardiorenal syndrome in liver cirrhosis:recognition of a new entity?

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World Journal of Gastroenterology 2024年第2期30卷 128-136页

作者： Henry H L Wu Amina rakisheva Arvind ponnusamy rajkumar Chinnadurai renal research Kolling Institute of Medical ResearchRoyal North Shore Hospital&The University of SydneySt.Leonards(Sydney)2065New South WalesAustralia Department of Cardiology City Cardiological CenterAlmaty 050000Kazakhstan Department of renal Medicine Royal Preston HospitalPreston PR29HTUnited Kingdom Donal O’Donoghue renal research Centre&Department of renal Medicine Northern Care Alliance National Health Service Foundation TrustSalford M68HDUnited Kingdom

Emerging evidence and perspectives have pointed towards the heart playing an important role in hepatorenal syndrome(HrS),outside of conventional understanding that liver cirrhosis is traditionally considered the sole origin of a cascade of pathophysiological mechanisms directly affecting the kidneys in this *** the absence of established heart disease,cirrhotic cardiomyopathy may occur more frequently in those with liver cirrhosis and kidney *** is a specific form of cardiac dysfunction characterized by blunted contractile responsiveness to stress stimuli and altered diastolic relaxation with electrophysiological *** the clinical description of these potential cardiac-related complications of the liver,the role of the heart has traditionally been an overlooked aspect of circulatory dysfunction in *** from a physiological sense,temporality(prior onset)of cardiorenal interactions in HrS and positive effects stemming from portosystemic shunting demonstrated an important role of the heart in the development and progression of kidney dysfunction in cirrhotic *** this review,we discuss current concepts surrounding how the heart may influence the development and progression of HrS,and the role of systemic inflammation and endothelial dysfunction causing circulatory dysfunction within this *** temporality of heart and kidney dysfunction in HrS will be *** a subgroup of patients who receive portosystemic shunting,the dynamics of cardiorenal interactions following treatment is *** research to determine the unknowns in this topic is anticipated,hopefully to further clarify the intricacies surrounding the liver-heart-kidney connection and improve strategies for management.

关键词： Hepatorenal syndrome Cardiorenal syndrome Cirrhosis Cardiac dysfunction Circulatory dysfunction

LSTM Based Spectrum Prediction for real-Time Spectrum Access for IoT Applications

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Intelligent Automation & Soft Computing 2023年第3期35卷 2805-2819页

作者： r.Nandakumar Vijayakumar.ponnusamy Aman Kumar Mishra KSr Institute for Engineering and Technology Tiruchencode637215India ECE Department SRMISTChengalpattuChennai603202India

In the Internet of Things(IoT)scenario,many devices will communi-cate in the presence of the cellular network;the chances of availability of spec-trum will be very scary given the presence of large numbers of mobile users and large amounts of *** prediction is very encouraging for high trafﬁc next-generation wireless networks,where devices/machines which are part of the Cognitive radio Network(CrN)can predict the spectrum state prior to transmission to save their limited energy by avoiding unnecessarily sen-sing radio *** short-term memory(LSTM)is employed to simulta-neously predict the radio Spectrum State(rSS)for two-time slots,thereby allowing the secondary node to use the prediction result to transmit its information to achieve lower waiting time hence,enhanced performance capacity.A frame-work of spectral transmission based on the LSTM prediction is formulated,named as positive prediction and sensing-based spectrum *** proposed scheme provides an average maximum waiting time gain of 2.88 *** proposed scheme provides 0.096 bps more capacity than a conventional energy detector.

关键词： Cognitive radio network encoder-decoder LSTM waiting time capacity

Koebe Type Theorems and Pre-Schwarzian of Harmonic K-quasiconformal Mappings,and Their Applications

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Acta Mathematica Sinica,English Series 2022年第11期38卷 1965-1980页

作者： Shao Lin CHEN Saminathan ponnusamy College of Mathematics and Statistics Hengyang Normal UniversityHengyang 421002P.R.China Hunan Provincial Key Laboratory of Intelligent Information Processing and Application Hengyang 421002P.R.China Department of Mathematics Indian Institute of Technology MadrasChennai-600036India

In this article,we first establish an asymptotically sharp Koebe type covering theorem for harmonic K-quasiconformal *** we use it to obtain an asymptotically Koebe type distortion theorem,a coefficients estimate,a Lipschitz characteristic and a linear measure distortion theorem of harmonic K-quasiconformal *** last,we give some characterizations of the radial John disks with the help of pre-Schwarzian of harmonic mappings.

关键词： Harmonic K-quasiconformal mapping Koebe type covering theorem Koebe type distortion theorem radial John disk

Detection of Diabetic retinopathy from retinal Images Using DenseNet Models

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Computer Systems Science & Engineering 2023年第4期45卷 279-292页

作者： r.Nandakumar P.Saranya Vijayakumar.ponnusamy Subhashree Hazra Antara Gupta Department of ECE K S R Institute for Engineering and TechnologyTiruchengode637215India Department of Computer Science and Engineering SRM Institute of Science and TechnologyChennai603203India Department of Electronics and Communication and Engineering SRM Institute of Science and TechnologyChennai603203India

A prevalent diabetic complication is Diabetic retinopathy(Dr),which can damage the retina’s veins,leading to a severe loss of *** treated in the early stage,it can help to prevent vision *** since its diagnosis takes time and there is a shortage of ophthalmologists,patients suffer vision loss even before ***,early detection of Dr is the necessity of the *** primary purpose of the work is to apply the data fusion/feature fusion technique,which combines more than one relevant feature to predict diabetic retinopathy at an early stage with greater *** procedures for diabetic retinopathy analysis are fundamental in taking care of these *** profound learning for parallel characterization has accomplished high approval exactness’s,multi-stage order results are less noteworthy,especially during beginning phase *** Connected Convolutional Networks are suggested to detect of Diabetic retinopathy on retinal *** presented model is trained on a Diabetic retinopathy Dataset having 3,662 images given by *** results suggest that the training accuracy of 93.51%0.98 precision,0.98 recall and 0.98 F1-score has been achieved through the best one out of the three models in the proposed *** same model is tested on 550 images of the Kaggle 2015 dataset where the proposed model was able to detect No Dr images with 96%accuracy,Mild Dr images with 90%accuracy,Moderate Dr images with 89%accuracy,Severe Dr images with 87%accuracy and Proliferative Dr images with 93%accuracy.

关键词： Convolutional Neural Networks vision loss pathogenic blood vessels DenseNet AlexNet resNet

THE BOHr-TYPE INEQUALITIES FOr HOLOMOrPHIC MAPPINGS WITH A LACUNArY SErIES IN SEVErAL COMPLEX VArIABLES

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Acta Mathematica Scientia 2023年第1期43卷 63-79页

作者：林柔苑刘名生 Saminathan ponnusamy School of Mathematical Sciences South China Normal UniversityGuangzhou510631China Department of Mathematics Indian Institute of Technology MadrasChennai600036India Department of Mathematics Petrozavodsk State Universityul.Lenina 33185910PetrozavodskRussia

In this paper,we mainly use the Frechet derivative to extend the Bohr inequality with a lacunary series to the higher-dimensional space,namely,mappings from Unto U(*** Un).In addition,we discuss whether or not there is a constant term in f,and we obtain two redefined Bohr inequalities in ***,we redefine the Bohr inequality of the odd and even terms of the analytic function f so as to obtain conclusions for two different higher-dimensional alternating series.

关键词： Bohr radius lacunary series high-dimensional space alternating series

IoT Wireless Intrusion Detection and Network Traffic Analysis

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Computer Systems Science & Engineering 2022年第3期40卷 865-879页

作者： Vasaki ponnusamy Aun Yichiet NZ Jhanjhi Mamoona humayun MaramFahhad Almufareh University Tunku Abdul rahman Kampar31900Malaysia School of Computer Science and Engineering(SCE) Taylor’s UniversitySelangorMalaysia Department of Information Systems College of Computer and Information SciencesJouf UniversityAl-JoufSaudi Arabia

Enhancement in wireless networks had given users the ability to use the Internet without a physical connection to the *** every Internet of Things(IoT)devices such as smartphones,drones,and cameras use wireless technology(Infrared,Bluetooth,IrDA,IEEE 802.11,etc.)to establish multiple interdevice connections *** the flexibility of the wireless network,one can set up numerous ad-hoc networks on-demand,connecting hundreds to thousands of users,increasing productivity and profitability ***,the number of network attacks in wireless networks that exploit such flexibilities in setting and tearing down networks has become very *** can launch attacks since there is no first line of defense in an ad hoc network setup besides the standard IEEE802.11 WPA2 *** feasible countermeasure is to deploy intrusion detection systems at the edge of these ad hoc networks(Network-based IDS)or at the node level(Host-based IDS).The challenge here is that there is no readily available benchmark data available for IoT network *** this benchmark data is very tedious as IoT can work on multiple platforms and networks,and crafting and labelling such dataset is very *** research aims to study the characteristics of existing datasets available such as KDD-Cup and NSL-KDD,and their suitability for wireless IDS *** hypothesize that network features are parametrically different depending on the types of network and assigning weight dynamically to these features can potentially improve the subsequent threat *** paper analyses packet and flow features for the data packet captured on a wireless network rather than a wired *** domain heuristcs and early classification results,the paper had identified 19 header fields exclusive to wireless network that contain high information gain to be used as ML features in Wireless IDS.

关键词： IoT machine learning traffic features IDS KDD-CUP NSL-KDD

Intrusion Detection Systems in Internet of Things and Mobile Ad-Hoc Networks

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Computer Systems Science & Engineering 2022年第3期40卷 1199-1215页

作者： Vasaki ponnusamy Mamoona Humayun NZJhanjhi Aun Yichiet Maram Fahhad Almufareh Faculty of Information and Communication Technology Universiti Tunku Abdul RahmanKamparMalaysia Department of Information Systems College of Computer and Information SciencesJouf UniversityAl-JoufSaudi Arabia School of Computer Science and Engineering(SCE) Taylor’s UniversitySelangorMalaysia

Internet of Things(IoT)devices work mainly in wireless mediums;requiring different Intrusion Detection System(IDS)kind of solutions to leverage 802.11 header information for intrusion ***-specific traffic features with high information gain are primarily found in data link layers rather than application layers in wired *** survey investigates some of the complexities and challenges in deploying wireless IDS in terms of data collection methods,IDS techniques,IDS placement strategies,and traffic data analysis *** paper’s main finding highlights the lack of available network traces for training modern machine-learning models against IoT specific ***,the Knowledge Discovery in Databases(KDD)Cup dataset is reviewed to highlight the design challenges of wireless intrusion detection based on current data attributes and proposed several guidelines to future-proof following traffic capture methods in the wireless network(WN).The paper starts with a review of various intrusion detection techniques,data collection methods and placement *** main goal of this paper is to study the design challenges of deploying intrusion detection system in a wireless *** detection system deployment in a wireless environment is not as straightforward as in the wired network environment due to the architectural *** this paper reviews the traditional wired intrusion detection deployment methods and discusses how these techniques could be adopted into the wireless environment and also highlights the design challenges in the wireless *** main wireless environments to look into would be Wireless Sensor Networks(WSN),Mobile Ad Hoc Networks(MANET)and IoT as this are the future trends and a lot of attacks have been targeted into these *** it is very crucial to design an IDS specifically to target on the wireless networks.

关键词： Internet of Things MANET intrusion detection systems wireless networks

DDoS Detection in SDN using Machine Learning Techniques

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Computers, Materials & Continua 2022年第4期71卷 771-789页

作者： Muhammad Waqas Nadeem Hock Guan Goh Vasaki ponnusamy Yichiet Aun Faculty of Information and Communication Technology(FICT) Universiti Tunku Abdul Rahman(UTAR)Jalan UniversitiBandar Barat31900 KamparPerakMalaysia

Software-defined network(SDN)becomes a new revolutionary paradigm in networks because it provides more control and network operation over a network *** SDN controller is considered as the operating system of the SDN based network infrastructure,and it is responsible for executing the different network applications and maintaining the network services and *** all its tremendous capabilities,the SDN face many security issues due to the complexity of the SDN *** denial of services(DDoS)is a common attack on SDN due to its centralized architecture,especially at the control layer of the SDN that has a network-wide *** learning is now widely used for fast detection of these *** this paper,some important feature selection methods for machine learning on DDoS detection are *** selection of optimal features reflects the classification accuracy of the machine learning techniques and the performance of the SDN controller.A comparative analysis of feature selection and machine learning classifiers is also derived to detect SDN *** experimental results show that the random forest(rF)classifier trains the more accurate model with 99.97%accuracy using features subset by the recursive feature elimination(rFE)method.

关键词： Machine learning software-defined network distributed denial of services feature selection protection artificial neural network decision trees naïve bayes security