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Secured Health Data Transmission Using Lagrange Interpolation and Artificial Neural Network

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Computer Systems Science & Engineering 2023年第6期45卷 2673-2692页

作者： S.Vidhya V.kalaivani Amrita College of Engineering and Technology Nagercoil629901India National Engineering College Kovilpatti628503India

In recent decades,the cloud computing contributes a prominent role in health care sector as the patient health records are transferred and collected using cloud computing *** doctors have switched to cloud computing as it provides multiple advantageous measures including wide storage space and easy availability without any *** necessitates the medical field to be redesigned by cloud technology to preserve information about patient’s critical diseases,electrocardiogram(ECG)reports,and payment *** proposed work utilizes a hybrid cloud pattern to share Massachusetts Institute of Technology-Beth Israel Hospital(MIT-BIH)resources over the private and public *** stored data are categorized as significant and non-significant by Artificial Neural Networks(ANN).The significant data undergoes encryption by Lagrange key management which automatically generates the key and stores it in the hidden *** receiving the request from a secondary user,the primary user verifies the authentication of the request and transmits the key via Gmail to the secondary *** the key matches the key in the hidden layer,the preserved information will be shared between the *** to the enhanced privacy preserving key generation,the proposed work prevents the tracking of keys by malicious *** outcomes reveal that the introduced work provides improved success rate with reduced computational time.

关键词： Cloud computing homomorphic encryption artificial neural network lagrange method cryptography

IoT-Deep Learning Based Activity Recommendation System

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Computer Systems Science & Engineering 2023年第5期45卷 2001-2016页

作者： Sharmilee kannan R.U.Anitha M.Divayapushpalakshmi k.S.kalaivani Department of Electronics and Communication Engineering Nandha Engineering CollegePerundurai638052TamilnaduIndia Department of Computer Science Sona College of Arts and ScienceSalem636005TamilnaduIndia Department of Artificial Intelligence and Machine Learning Engineering Gokaraju Rangaraju Institute of Engineering and TechnologyHyderabad500090TelanganaIndia Department of Computer Science and Engineering Kongu Engineering CollegePerundurai638060TamilnaduIndia

The rising use of mobile technology and smart gadgets in the field of health has had a significant impact on the global *** professionals are increasingly making use of the benefits of these technologies,resulting in a major improvement in health care both in and out of clinical *** Internet of Things(IoT)is a new internet revolution that is a rising research area,particularly in health *** Monitoring Systems(HMS)have progressed rapidly as the usage of Wearable Sensors(WS)and smartphones have *** existing framework of conventional telemedicine’s store-and-forward method has some issues,including the need for a nearby health centre with dedicated employees and medical devices to prepare patient ***’health can be continuously monitored using advanced WS that can be fitted or embedded in their *** research proposes an innovative and smart HMS,which is built using recent technologies such as the IoT and Machine Learning(ML).In this study,we present an innovative and intelligent HMS based on cutting-edge technologies such as the IoT and Deep Learning(DL)+Restricted Boltzmann Machine(RBM).This DL+RBM model is clever enough to detect and process a patient’s data using a medical Decision Support System(DSS)to determine whether the patient is suffering from a major health problem and treat it *** recommended system’s behavior is increasingly investigated using a cross-validation test that determines various demographically relevant standard *** a healthcare DSS,this framework is clever enough to detect and analyze a patient’s *** results further reveal that the proposed system is efficient and clever enough to deliver health *** data reported in this study demonstrate the *** device is a low-cost solution for people living in distant places;anyone can use it to determine if they have a major health problem and seek treatment by contacting nearby hospitals.

关键词： Deep learning IoT healthcare system activity recommender system body sensors

A Novel Fuzzy Inference System-Based Endmember Extraction in Hyperspectral Images

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Intelligent Automation & Soft Computing 2023年第8期37卷 2459-2476页

作者： M.R.Vimala Devi S.kalaivani School of Electronics Engineering Vellore Institute of TechnologyVellore632051India

Spectral unmixing helps to identify different components present in the spectral mixtures which occur in the uppermost layer of the area owing to the low spatial resolution of hyperspectral *** spectral unmixing methods are globally based and do not consider the spectral variability among its endmembers that occur due to illumination,atmospheric,and environmental ***,endmember bundle extraction plays a major role in overcoming the above-mentioned limitations leading to more accurate abundance ***,a two-stage approach is proposed to extract endmembers through endmember bundles in hyperspectral *** divide and conquer method is applied as the first step in subset images with only the non-redundant bands to extract endmembers using the Vertex Component Analysis(VCA)and N-FINDR algorithms.A fuzzy rule-based inference system utilizing spectral matching parameters is proposed in the second step to categorize *** endmember with the minimum error is chosen as the final endmember in each specific *** proposed method is simple and automatically considers endmember variability in hyperspectral *** efficiency of the proposed method is evaluated using two real hyperspectral *** average spectral angle and abundance angle are used to analyze the performance measures.

关键词： Hyperspectral image spectral unmixing spectral matching endmember bundles fuzzy inference system

Nanobiocomposite Electrochemical Biosensor Utilizing Synergic Action of Neutral Red Functionalized Carbon Nanotubes

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Nano-Micro Letters 2012年第4期4卷 220-227页

作者： D.R.Shobha Jeykumari R.kalaivani S.Sriman Narayanan Department of Chemistry Women’s Christian college Department of Chemistry School of Basic Sciences VELS University Department of Analytical Chemistry School of Chemical Sciences University of Madras Guindy Campus National Centre for Nanoscience and Nanotechnology University of Madras Guindy campus

An amperometric hydrogen peroxide biosensor using a nanobiocomposite based on neutral red modified carbon nanotubes and co-immobilized glucose oxidase and horseradish peroxidase is reported. Modification of the nanobiocomposite electrode with neutral red resulted in a sensitive, low-cost and reliable H_2O_2 sensor. The use of carbon nanotubes, as the conductive part of the composite, facilitated fast electron transfer rates. The biosensor was characterized for the influence of p H, potential and temperature. A remarkable feature of the biosensor is the detection of H_2O_2 at low applied potentials where the noise level and interferences are minimal. The sensor has a fast steady-state measuring time of 10 s with a quick response(2 s). The biosensor showed a linear range from 15 n M to 45 m M of H_2O_2 and a detection limit of 5 n M. Nafion, which is used as a binder, makes the determination free from other electroactive substances. The repeatability, reproducibility,stability and analytical performance of the sensor are very good.

关键词： Multiwalled carbon nanotubes Neutral red Glucose oxidase Horseradish peroxidase Nafion Nanobiocomposite biosensor

Cardiometabolic risk factors in young Indian men and their association with parameters of insulin resistance and beta-cell function

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World Journal of Cardiology 2022年第8期14卷 462-472页

作者： Yashdeep Gupta Alpesh Goyal Mani kalaivani Nikhil Tandon Department of Endocrinology and Metabolism All India Institute of Medical SciencesNew Delhi 110029DelhiIndia Department of Biostatistics All India Institute of Medical SciencesNew Delhi 110029DelhiIndia

BACkGROUND There is an unmet need to evaluate the burden of cardiometabolic risk factors in young South Asian adults,who are not preselected for *** To evaluate young North Indian men(aged 20-50 years)for burden of cardiometabolic risk factors,in relation to parameters of homeostatic model assessment for insulin resistance(HOMA-IR)and beta-cell function(oral disposition index[oDI]).METHODS Study participants were invited in a fasting ***,anthropometric,and medical data were collected,and 75 g oral glucose tolerance test was performed with serum insulin and plasma glucose estimation at 0,30,and 120 *** were divided into quartiles for HOMA-IR and oDI(category 1:Best HOMA-IR/oDI quartile;category 3:Worst HOMA-IR/oDI quartile)and composite HOMA-IR/oDI phenotypes(phenotype 1:Best quartile for both HOMA-IR and oDI;phenotype 4:Worst quartile for both HOMA-IR and oDI)were *** We evaluated a total of 635 men at a mean(±SD)age of 33.9±5.1 years and body mass index of 26.0±3.9 kg/m^(2).Diabetes and prediabetes were present in 34(5.4%)and 297(46.8%)participants,***/obesity,metabolic syndrome,and hypertension were present in 388(61.1%),258(40.6%),and 123(19.4%)participants,*** prevalence of dysglycaemia,metabolic syndrome,and hypertension was significantly higher in participants belonging to the worst HOMA-IR and oDI quartiles,either alone(category 3 vs 1)or in combination(phenotype 4 vs 1).The adjusted odds ratios for dysglycaemia(6.5 to 7.0-fold),hypertension(2.9 to 3.6-fold),and metabolic syndrome(4.0 to 12.2-fold)were significantly higher in individuals in the worst quartile of HOMA-IR and oDI(category 3),compared to those in the best quartile(category 1).The adjusted odds ratios further increased to 21.1,5.6,and 13.7,respectively,in individuals with the worst,compared to the best composite HOMA-IR/oDI phenotypes(phenotype 4 vs 1).CONCLUSION The burden of cardiometabolic risk factors is hi

关键词： Cardiometabolic Insulin resistance Asian Disposition index Men Young

Colorectal carcinogenesis:Insights into the cell death and signal transduction pathways:A review

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World Journal of Gastrointestinal Oncology 2018年第9期10卷 244-259页

作者： Ashok kumar Pandurangan Thomas Divya kalaivani kumar Vadivel Dineshbabu Bakthavatchalam Velavan Ganapasam Sudhandiran Cell Biology Laboratory Department of Bio-chemistryUniversity of MadrasGuindy Campus School of Life sciences B.S. Abdur Rahman Crescent Institute of Science and Technology

Colorectal carcinogenesis(CRC) imposes a major health burden in developing countries. It is the third major cause of cancer deaths. Despite several treatment strategies, novel drugs are warranted to reduce the severity of this disease. Adenomatous polyps in the colon are the major culprits in CRC and found in 45% of cancers, especially in patients 60 years of age. Inflammatory polyps are currently gaining attention in CRC, and a growing body of evidence denotes the role of inflammation in CRC. Several experimental models are being employed to investigate CRC in animals, which include the APC^(min/+) mouse model, Azoxymethane, Dimethyl hydrazine, and a combination of Dextran sodium sulphate and dimethyl hydrazine. During CRC progression, several signal transduction pathways are activated. Among the major signal transduction pathways are p53, Transforming growth factor beta, Wnt/β-catenin, Delta Notch, Hippo signalling, nuclear factor erythroid 2-related factor 2 and kelch-like ECH-associated protein 1 pathways. These signalling pathways collaborate with cell death mechanisms, which include apoptosis, necroptosis and autophagy, to determine cell fate. Extensive research has been carried out in our laboratory to investigate these signal transduction and cell death mechanistic pathways in CRC. This review summarizes CRC pathogenesis and the related cell death and signal transduction pathways.

关键词： Colorectal cancer Cell death Apoptosis Autophagy Inflammation Hippo signalling Nuclear factor erythroid 2-related factor 2 Wnt signaling

Design and in vitro evaluation of controlled release alginate beads of diltiazem hydrochloride

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Asian Pacific Journal of Tropical Medicine 2009年第4期2卷 46-49页

作者： D.Nagasamy Venkatesh A.kalaivani kritika D.kalro Lalitha Chintha James Tharani M.k.Samanta B.Suresh Department of Pharmaceutics JSS College of PharmacyOOTY-643001Tamil NaduIndia

Objective:Oral slow and sustained release drug delivery system can release their drug content with a controlled manner,producing a desirable blood serum level,reduction in drug toxicity and improving the patient compliance by prolonging dosing *** major drawback of orally administered drug like diltiazem as a calcium channel blocker for the treatment of angina pectoris,arrhythmia and *** has higher aqueous solubility and shorter elimination ***:To overcome these drawbacks associated with diltiazem,an attempt has been made to develop a sustained release dosage form of diltiazem embedded alginate microbeads by ionotropic gelation technique employing various concentrations of polymer and keeping the drug concentration ***:The beads were characterized for its particle size,drug content and in vitro release studies. The results revealed that the surface adhering drug was found to release immediately and a steady state of release was obtained up to 12 h from all the *** results indicated there was an inverse relationship between the concentration of alginate and drug *** drug release was found to follow non-fickian diffusion obeying first order ***:The developed alginate microbeads offered a sustained release of diltiazem. Hence,the formulated microbeads were found to be potential,cost effective,possess satisfactory in vitro release studies.

关键词： Sodium alginate Diltiazem Microbeads Ionotropic gelation technique Peppa’s model

Nutritional status of children in rural India: a case study from Tamil Nadu, first in the world to initiate the Mid-Day Meal scheme

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Health 2011年第10期3卷 647-655页

作者： Palanisamy Navaneethan Thiagarajan kalaivani Chandrasekaran Rajasekaran Nautiyal Sunil 不详

In India, during the mid-nineties the Union Government had initiated the Mid-Day Meal schemes in schools to promote primary education on one hand, and to reduce malnutrition on the other. However, Tamil Nadu had launched this program several decades before;during the regime of Mr. kumarasami kamraj (1954-1963). An empirical study was undertaken in the rural areas of Tamil Nadu, in the south of India, to understand the nutritional status of the children between 11 and 18 years old. This group is vulnerable, as during this age, individuals undergo physical and mental changes. We calculated the Body Mass Index (BMI) of school children to assess their nutritional status. A total of 806 school children took part in this study and the majority of them were found to be underweight in the study region. Irrespective of their age group and sex, as per the WHO’s international standards, 83% of the students were underweight (BMIBMI 18.5 - 24.9), and of the rest, 0.39% and 0.06% were in the BMI range of 25 - 29.9 (overweight) and 30 - 35.9 (obese), respectively. Based on available data, a regression analysis was carried out. This regression model showed that students’ age, sex and father’s occupation significantly affects their BMI. Further analysis showed that BMI was independent of the students’ blood group. It was concluded that malnutrition among school children can be eliminated by providing additional healthy foods and by improving the Socio Economic Background (SEB) of the region.

关键词： BMI (Body Mass Index) Underweight Regression Analysis Fathers’ Occupation SEB (Socio Economic Background)

A Study on Vehicle Detection and Tracking Using Wireless Sensor Networks

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Wireless Sensor Network 2010年第2期2卷 173-185页

作者： G. Padmavathi D. Shanmugapriya M. kalaivani 不详

Wireless Sensor network (WSN) is an emerging technology and has great potential to be employed in critical situations. The development of wireless sensor networks was originally motivated by military applications like battlefield surveillance. However, Wireless Sensor Networks are also used in many areas such as Industrial, Civilian, Health, Habitat Monitoring, Environmental, Military, Home and Office application areas. Detection and tracking of targets (eg. animal, vehicle) as it moves through a sensor network has become an increasingly important application for sensor networks. The key advantage of WSN is that the network can be deployed on the fly and can operate unattended, without the need for any pre-existing infrastructure and with little maintenance. The system will estimate and track the target based on the spatial differences of the target signal strength detected by the sensors at different locations. Magnetic and acoustic sensors and the signals captured by these sensors are of present interest in the study. The system is made up of three components for detecting and tracking the moving objects. The first component consists of inexpensive off-the shelf wireless sensor devices, such as MicaZ motes, capable of measuring acoustic and magnetic signals generated by vehicles. The second component is responsible for the data aggregation. The third component of the system is responsible for data fusion algorithms. This paper inspects the sensors available in the market and its strengths and weakness and also some of the vehicle detection and tracking algorithms and their classification. This work focuses the overview of each algorithm for detection and tracking and compares them based on evaluation parameters.

关键词： Wireless Sensor Networks Acoustic and Magnetic Sensors Acoustic and Magnetic Signals