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Priority Based Energy Efficient MAC Protocol by Varying Data ratefor Wireless Body Area Network

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Computer Systems Science & Engineering 2024年第2期48卷 395-411页

作者： r.Sangeetha usha devi Gandhi School of Information Technology and Engineering Vellore Institute of TechnologyVelloreTamil Nadu632014India

Wireless Body Area Network(WBAN)is a cutting-edge technology that is being used in healthcare applications to monitor critical events in the human *** is a collection of in-body and on-body sensors that monitor human physical parameters such as temperature,blood pressure,pulse rate,oxygen level,body motion,and so *** sense the data and communicate it to the Body Area Network(BAN)*** main challenge for the WBAN is energy *** issues can be addressed by implementing an effective Medium Access Control(MAC)protocol that reduces energy consumption and increases network *** purpose of the study is to minimize the energy consumption and minimize the delay using IEEE 802.15.4 *** our proposed work,if any critical events have occurred the proposed work is to classify and prioritize the *** gave priority to the highly critical data to get the Guarantee Tine Slots(GTS)in IEEE 802.15.4 standard superframe to achieve greater energy *** proposed MAC provides higher data rates for critical data based on the history and current condition and also provides the best reliable service to high critical data and critical data by predicting node *** an outcome,we proposed a MAC protocol for Variable Data rates(MVDr).When compared to existing MAC protocols,the MVDr performed very well with low energy intake,less interruption,and an enhanced packet-sharing ratio.

关键词： Wireless Body Area Network(WBAN) IEEE 802.15.4 energy efficiency MAC protocol ZigBee

An Efficient Modelling of Oversampling with Optimal Deep Learning Enabled Anomaly Detection in Streaming Data

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China Communications 2024年第5期21卷 249-260页

作者： r.rajakumar S.Sathiya devi Srinivasa ramanujan Centre SASTRA Deemed UniversityKumbakonamTamil Nadu 612001India University College of Engineering BIT CampusAnna UniversityTiruchirappalli 620024India

recently,anomaly detection(AD)in streaming data gained significant attention among research communities due to its applicability in finance,business,healthcare,education,*** recent developments of deep learning(DL)models find helpful in the detection and classification of *** article designs an oversampling with an optimal deep learning-based streaming data classification(OS-ODLSDC)*** aim of the OSODLSDC model is to recognize and classify the presence of anomalies in the streaming *** proposed OS-ODLSDC model initially undergoes preprocessing *** streaming data is unbalanced,support vector machine(SVM)-Synthetic Minority Over-sampling Technique(SVM-SMOTE)is applied for oversampling ***,the OS-ODLSDC model employs bidirectional long short-term memory(Bi LSTM)for AD and ***,the root means square propagation(rMSProp)optimizer is applied for optimal hyperparameter tuning of the Bi LSTM *** ensuring the promising performance of the OS-ODLSDC model,a wide-ranging experimental analysis is performed using three benchmark datasets such as CICIDS 2018,KDD-Cup 1999,and NSL-KDD datasets.

关键词： anomaly detection deep learning hyperparameter optimization oversampling SMOTE streaming data

An enhanced method for predicting and analysing forest fires using an attention-based CNN model

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Journal of Forestry research 2024年第4期35卷 115-127页

作者： Shaifali Bhatt usha Chouhan Department of Mathematics Bioinformatics and Computer ApplicationsMANIT BhopalBhopalIndia

Prediction,prevention,and control of forest fires are crucial on at all *** effective fire detection systems can aid in their *** study proposes a novel CNN(convolutional neural network)using an attention blocks module which combines an attention module with numerous input layers to enhance the performance of neural *** suggested model focuses on predicting the damage affected/burned areas due to possible wildfires and evaluating the multilateral interactions between the pertinent *** results show the impacts of CNN using attention blocks for feature extraction and to better understand how ecosystems are affected by meteorological *** selected meteorological data,rMSE 12.08 and MAE 7.45 values provide higher predictive power for selecting relevant and necessary features to provide optimal performance with less operational and computational *** findings show that the suggested strategy is reliable and effective for planning and managing fire-prone regions as well as for predicting forest fire damage.

关键词： CNN Attention module Fire prediction Ecosystem Damage prediction

AutorhythmAI: A Hybrid Machine and Deep Learning Approach for Automated Diagnosis of Arrhythmias

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Computers, Materials & Continua 2024年第2期78卷 2137-2158页

作者： S.Jayanthi S.Prasanna devi Department of Computer Science and Engineering SRM Institute of Science and Technology-Vadapalani CampusChennaiTamil NaduIndia

In healthcare,the persistent challenge of arrhythmias,a leading cause of global mortality,has sparked extensive research into the automation of detection using machine learning(ML)***,traditional ML and AutoML approaches have revealed their limitations,notably regarding feature generalization and automation *** glaring research gap has motivated the development of AutorhythmAI,an innovative solution that integrates both machine and deep learning to revolutionize the diagnosis of *** approach encompasses two distinct pipelines tailored for binary-class and multi-class arrhythmia detection,effectively bridging the gap between data preprocessing and model *** validate our system,we have rigorously tested AutorhythmAI using a multimodal dataset,surpassing the accuracy achieved using a single dataset and underscoring the robustness of our *** the first pipeline,we employ signal filtering and ML algorithms for preprocessing,followed by data balancing and split for *** second pipeline is dedicated to feature extraction and classification,utilizing deep learning ***,we introduce the‘rrI-convoluted trans-former model’as a novel addition for binary-class *** ensemble-based approach then amalgamates all models,considering their respective weights,resulting in an optimal model *** our study,the VGGres Model achieved impressive results in multi-class arrhythmia detection,with an accuracy of 97.39%and firm performance in precision(82.13%),recall(31.91%),and F1-score(82.61%).In the binary-class task,the proposed model achieved an outstanding accuracy of 96.60%.These results highlight the effectiveness of our approach in improving arrhythmia detection,with notably high accuracy and well-balanced performance metrics.

关键词： Automated machine learning neural networks deep learning arrhythmias

Photovoltaic performance of TiO_(2) and ZnO nanostructures in anthocyanin dye-sensitized solar cells

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Clean Energy 2024年第5期8卷 144-156页

作者： Velpuri Leela devi Debasis De Piyush Kuchhal rupendra Kumar Pachauri Electrical Cluster UPESDehradun 248007UttarakhandIndia Energy Institute Bengaluru(EIB) Centre of Rajiv Gandhi Institute of Petroleum Technology(RGIPT)Amethi560064India

This research paper reports the fabrication and evaluation of titanium dioxide(TiO_(2))-and zinc oxide(ZnO)-based dye-sensitized solar cells with anthocyanin dye extracted from ***_(2) and ZnO were synthesized using the hydrothermal synthesis and chemical bath deposition techniques,*** scanning electron microscopy analysis showed that TiO_(2) had nanopillars made up of nano rods with dimensions of 111.866,90.521,and 81.908 nm,while ZnO had hexagonal patterned nanorods with lengths of 283.294 nm and diameters of 91.782 *** absorption spectra of the pomegranate dye were analysed and the strongest absorp-tion peak was found to be at 520 nm,which corresponds to the existing anthocyanin *** band gap of pomegranate dye was noted down to be 2.45 *** performance of the dye-sensitized solar cells was evaluated using one sun illumination(100 mW/cm^(2))where the dye-sensitized solar cell with TiO_(2) nanopillars achieved an improved efficiency of 0.46%whereas the dye-sensitized solar cell with ZnO nanorods showed a considerably reduced efficiency of 0.42%.

关键词： DSSC ZnO and TiO_(2) photo anode anthocyanins hydrothermal synthesis technique chemical bath deposition technique

Entanglement and Volume Monogamy Features of Permutation Symmetric N-Qubit Pure States with N-Distinct Spinors: GHZ and States

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Journal of Quantum Information Science 2024年第2期14卷 29-51页

作者： Sudha Alevoor raghavendra usha devi Akshata Shenoy Hejamadi Hosapete Seshadri Karthik Humera Talath Bada Palaiah Govindaraja Attipat Krishnaswamy rajagopal Department of Physics Kuvempu University Shimoga India Inspire Institute Inc. Alexandria Virginia USA Department of Physics Bangalore University Bangalore India International Centre for Theory of Quantum Technologies University of Gdnsk Gdnsk Poland

We explore the entanglement features of pure symmetric N-qubit states characterized by N-distinct spinors with a particular focus on the Greenberger-Horne-Zeilinger (GHZ) states and , an equal superposition of W and obverse W states. Along with a comparison of pairwise entanglement and monogamy properties, we explore the geometric information contained in them by constructing their canonical steering ellipsoids. We obtain the volume monogamy relations satisfied by states as a function of number of qubits and compare with the maximal monogamy property of GHZ states.

关键词： Permutation Symmetric States Monogamy Pairwise Entanglement

Gas hydrate saturation from NGHP 02 LWD data in the Mahanadi Basin

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Energy Geoscience

Energy Geoscience 2024年第2期5卷 279-289页

作者： Uma Shankar Pradeep Kumar Yadav Sneha devi Udham Singh Yadav Department of Geophysics Institute of ScienceBHUVaranasi221005India Oil and Natural Gas Corporation Ltd. Gas Hydrate Research&Technology Centre(GHRTC)Panvel410221Navi MumbaiIndia

During the Indian National Gas Hydrate Program(NGHP)Expedition 02,Logging-while-drilling(LWD)logs were acquired at three sites(NGHP-02-11,NGHP-02-12,and NGHP-02-13)across the Mahanadi Basin in area *** applied rock physics theory to available sonic velocity logs to know the distribution of gas hydrate at site NGHP-02-11 and *** physics modeling using sonic velocity at well location shows that gas hydrate is distributed mainly within the depth intervals of 150-265 m and 100 -215 mbsf at site NGHP-02-11 and NGHP-02-13,respectively,with an average saturation of about 4%of the pore space and the maximum concentration of about 40%of the pore space at 250 m depth at site NGHP-02-11,and at site NGHP-02-13 an average saturation of about 2%of the pore space and the maximum concentration of about 20%of the pore space at 246 m depth,as gas hydrate is distributed mainly within 100-246 mbsf at this *** of gas hydrate estimated from the electrical resistivity method using density derived porosity and electrical resistivity logs from Archie's empirical formula shows high saturation compared to that from the sonic ***,estimates of hydrate saturation based on sonic P-wave velocity may differ significantly from that based on resistivity,because gas and hydrate have higher resistivity than conductive pore fluid and sonic P-wave velocity shows strong effect on gas hydrate as a small amount of gas reduces the velocity significantly while increasing velocity due to the presence of *** site NGHP-02-11,gas hydrate saturation is in the range of 15%e30%,in two zones between 150-180 and 245-265 *** NGHP-02-012 shows a gas hydrate saturation of 20%e30%in the zone between 100 and 207 *** NGHP-02-13 shows a gas hydrate saturation up to 30%in the zone between 215 and 246 *** observations from rock physics modeling and Archie’s approximation show the gas hydrate concentrations are relatively low(re space)at the sites of the

关键词： Mahanadi Basin Gas hydrate Sonic log Effective medium modeling Electrical resistivity log Archie’s analysis Gas hydrate saturation

Metabolic engineering and genome editing strategies for enhanced lipid production in microalgae

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BIOCELL 2024年第8期48卷 1181-1195页

作者： ANJANI devi CHINTAGUNTA SAMUDrALA PrASHANT JEEVAN KUMAr NUNE SATYA SAMPATH KUMAr Department of Biotechnology Vignan’s Foundation ScienceTechnology and ResearchVadlamudiAndhra Pradesh522213India ICAr-Directorate of Floricultural research Pune412307India

Depleting global petroleum reserves and skyrocketing prices coupled with succinct supply have been a grave concern,which needs alternative sources to conventional *** microalgae have been explored for enhanced lipid production,leading towards biodiesel *** microalgae have short life cycles,require less labor,and space,and are easy to scale ***,the primary source of lipids needed to produce biodiesel,is accumulated by most *** article focuses on different types of oleaginous microalgae,which can be used as a feedstock to produce *** biosynthesis in microalgae occurs through fatty acid synthesis and TAG synthesis ***-depth discussions are held regarding other efficient methods for enhancing fatty acid and TAG synthesis,regulating TAG biosynthesis bypass methods,blocking competing pathways,multigene approach,and genome *** most potential targets for gene transformation are hypothesized to be a malic enzyme and diacylglycerol acyltransferase while lowering phosphoenolpyruvate carboxylase activity is reported to be advantageous for lipid synthesis.

关键词： Oleaginous microalgae Biodiesel TAG synthesis Metabolic engineering Genome editing

A Case report of Pulmonary Alveolar Proteinosis with Associated Opportunistic Infection of Pneumocystis jirovecii and Molluscum Contagiosum

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Journal of Forensic Science and Medicine 2024年第1期10卷 68-71页

作者： Sapna Patel Deepika Gurumurthy Smitha rani Sheela devi Department of Pathology JSSAHERMysoreKarnatakaIndia2Department of Forensic MedicineJSSAHERMysoreKarnatakaIndia

Pulmonary alveolar proteinosis(PAP)is an idiopathic rare diffuse pulmonary disease,first described in 1958 by rosen et *** estimated prevalence is about 1 in 3.7-6.9×10^(6) with a male:female ratio of 1:1-2:*** of the patient’s age ranges between 20 and 50 *** on microscopy is characterized by the presence of massive insoluble,amorphous,phospholipid-rich protein deposits in the bronchial and alveolar *** patients with acquired PAP present with cough and exertional *** has been studied that there is increased risk of superinfection in PAP with opportunistic organisms like pneumocystis and vice *** diagnosis of Pneumocystis jirovecii pneumonia rests on the demonstration of the organism within the alveoli by special stains like Grocott Methenamine Silver *** contagiosum(MC)is a common superficial skin infection caused by the *** is characterized by painless papules commonly seen in children and immunocompromised ***,we present a 34-year-old female who had complaints of severe difficulty in breathing and was brought dead to our *** external examination,she had multiple warts over chest,abdomen,and over *** examination was *** of kidney,lung,and skin biopsy of genital warts sent for histopathological examination revealed acute tubular necrosis,*** with PAP,and MC respectively.

关键词： Bronchoalveolar lavage molluscum contagiosum Pneumocystis jirovecii pulmonary alveolar proteinosis