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Design of Online Vitals Monitor by Integrating Big Data and IoT

Computer Systems Science & Engineering 2023年第3期44卷 2469-2487页

作者： E.afreen banu V.Rajamani Department of Computer Science Engineering Vel Tech Multitech Dr.Rangarajan Dr.Sakunthala Engineering CollegeChennai600062India Department of Electronics&Communication Engineering Vel Tech Multitech Dr.Rangarajan Dr.Sakunthala Engineering CollegeChennai600062India

In this work,we design a multisensory IoT-based online vitals monitor(hereinafter referred to as the VITALS)to sense four bedside physiological parameters including pulse(heart)rate,body temperature,blood pressure,and periph-eral oxygen ***,the proposed system constantly transfers these signals to the analytics system which aids in enhancing diagnostics at an earlier stage as well as monitoring after *** core hardware of the VITALS includes commercial off-the-shelf sensing devices/medical equipment,a powerful microcontroller,a reliable wireless communication module,and a big data analytics *** extracts human vital signs in a pre-programmed interval of 30 min and sends them to big data analytics system through the WiFi module for further *** use Apache Kafka(to gather live data streams from connected sen-sors),Apache Spark(to categorize the patient vitals and notify the medical pro-fessionals while identifying abnormalities in physiological parameters),Hadoop Distributed File System(HDFS)(to archive data streams for further analysis and long-term storage),Spark SQL,Hive and Matplotlib(to support caregivers to access/visualize appropriate information from collected data streams and to explore/understand the health status of the individuals).In addition,we develop a mobile application to send statistical graphs to doctors and patients to enable them to monitor health conditions *** proposed system is implemented on three patients for 7 days to check the effectiveness of sensing,data processing,and data transmission *** validate the system accuracy,we compare the data values collected from established sensors with the measured readouts using a commercial healthcare monitor,the Welch Allyn®Spot *** pro-posed system provides improved care solutions,especially for those whose access to care services is limited.

关键词： Big data analytics blood pressure body temperature physiological parameters pulse rate sensors SPo2

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2021～2023年海南住院急性呼吸道感染儿童中人类博卡病毒的流行病学特征分析

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海南医学院学报 2024年

作者：肖美芳 afreen banu 曾湘粤石盛洁邓宛心彭箬岩吴日宝王杏虹尹飞飞常猛海南省妇女儿童医学中心林肯大学学院医学院微生物学系(马来西亚) 海南医学院-香港大学热带传染病联合实验室海南医学院第一附属医院

目的: 探讨2021～2023年期间海南住院急性呼吸道感染儿童群体中人类博卡病毒（HBoV）的流行病学特征，分析其感染率、易感人群的性别与年龄、年度与季节流行特点、单一与混合感染情况、临床表现及相关风险因素，为博卡病毒的防控提供科... 详细信息

目的: 探讨2021～2023年期间海南住院急性呼吸道感染儿童群体中人类博卡病毒（HBoV）的流行病学特征，分析其感染率、易感人群的性别与年龄、年度与季节流行特点、单一与混合感染情况、临床表现及相关风险因素，为博卡病毒的防控提供科学依据。方法：收集2021年1月～2023年12月期间海南省妇女儿童医学中心急性呼吸道感染住院儿童患者样本，通过呼吸道病原体靶向高通量测序（tNGS）技术检测HBoV的感染。利用统计学分析方法研究HBoV感染率及其季节性变化，结合临床资料分析感染儿童的主要症状及其与年龄、性别等因素的关系。结果: 在收集的19 339例样本中，共检测到583例HBoV阳性病例，检出率为3.01%。HBoV感染主要集中在春季和秋季，感染高峰分别出现在3月和10月，同时非药物干预措施对HBoV的流行趋势无明显影响。临床症状主要表现为发热、咳嗽和鼻塞，少数病例出现了严重的呼吸道并发症。年龄在0-5岁的儿童感染率最高，男童略高于女童。结论: 海南儿童中HBoV的流行具有明显的季节性特点，年龄是影响病情严重程度的重要因素。应加强对高风险儿童群体的监测和防护，及时采取有效的预防和治疗措施，以减少HBoV感染带来的健康危害。

关键词：人类博卡病毒新冠肺炎疫情住院儿童流行病学

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Intrumer:A Multi Module Distributed Explainable IDS/IPS for Securing Cloud Environment

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Computers, Materials & Continua 2025年第1期82卷 579-607页

作者： Nazreen banu A S.K.B.Sangeetha Department of Computer Science and Engineering SRM Institute of Science and TechnologyVadapalani CampusChennai600026Tamil NaduIndia

The increasing use of cloud-based devices has reached the critical point of cybersecurity and unwanted network *** environments pose significant challenges in maintaining privacy and *** approaches,such as IDS,have been developed to tackle these ***,most conventional Intrusion Detection System(IDS)models struggle with unseen cyberattacks and complex high-dimensional *** fact,this paper introduces the idea of a novel distributed explainable and heterogeneous transformer-based intrusion detection system,named INTRUMER,which offers balanced accuracy,reliability,and security in cloud settings bymultiplemodulesworking together within *** traffic captured from cloud devices is first passed to the TC&TM module in which the Falcon Optimization Algorithm optimizes the feature selection process,and Naie Bayes algorithm performs the classification of *** selected features are classified further and are forwarded to the Heterogeneous Attention Transformer(HAT)*** this module,the contextual interactions of the network traffic are taken into account to classify them as normal or malicious *** classified results are further analyzed by the Explainable Prevention Module(XPM)to ensure trustworthiness by providing interpretable *** the explanations fromthe classifier,emergency alarms are transmitted to nearby IDSmodules,servers,and underlying cloud devices for the enhancement of preventive *** experiments on benchmark IDS datasets CICIDS 2017,Honeypots,and NSL-KDD were conducted to demonstrate the efficiency of the INTRUMER model in detecting network trafficwith high accuracy for different *** outperforms state-of-the-art approaches,obtaining better performance metrics:98.7%accuracy,97.5%precision,96.3%recall,and 97.8%*** results validate the robustness and effectiveness of INTRUMER in securing diverse cloud environments against sophisticated cyber threats.

关键词： Cloud computing intrusion detection system transformers and explainable artificial intelligence(XAI)

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Use of polymeric sub-micron ion-exchange resins for removal of lead,copper,zinc,and nickel from natural waters

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Journal of Environmental Sciences 2019年第1期31卷 247-254页

作者： Audrey Murray banu ?rmeci Department of Civil and Environmental Engineering Carleton University

This research investigated the removal capacity of polymeric sub-micron ion-exchange resins(SMR) for removal of lead, copper, zinc, and nickel from natural waters in competition with natural organic matter(NOM). Polymeric SMR particles were created and tested to ensure that they were adequately dispersed in the solution. They removed little NOM(10%or less) from river water and wastewater, indicating that competition from NOM was not a major concern. SMR were able to remove 82% ± 0.2% of lead, 46% ± 0.6% of copper, 55% ±20% of zinc, and 17% ± 2% of nickel from river water spiked with 500 μg/L of each. Similarly,in wastewater, they were able to remove 86% ± 0.1% of lead, 38% ± 0.8% of copper, 28% ± 1%of zinc, and 11% ± 1% of nickel.

关键词： Water Wastewater Heavy metals Ion exchange Polymeric submicron resin Natural organic matter (NOM)

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Competitive effects of humic acid and wastewater on adsorption of Methylene Blue dye by activated carbon and non-imprinted polymers

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Journal of Environmental Sciences 2018年第4期30卷 310-317页

作者： Audrey Murray banu Ormeci Department of Civil and Environmental Engineering Carleton UniversityOttawa ON K1S 5B6 Canada

Natural organic matter（NOM）, present in natural waters and wastewater, decreases adsorption of micropollutants, increasing treatment costs. This research investigated mechanisms of competition for non-imprinted polymers（NIPs） and activated carbon with humic acid and wastewater. Three different types of activated carbons（Norit PAC 200,Darco KB-M, and Darco S-51） were used for comparison with the NIP. The lower surface area and micropore to mesopore ratio of the NIP led to decreased adsorption capacity in comparison to the activated carbons. In addition, experiments were conducted for single-solute adsorption of Methylene Blue（MB） dye, simultaneous adsorption with humic acid and wastewater, and pre-loading with humic acid and wastewater followed by adsorption of MB dye using NIP and Norit PAC 200. Both the NIP and PAC 200 showed significant decreases of 27% for NIP（p = 0.087） and 29% for PAC 200（p = 0.096） during simultaneous exposure to humic acid and MB dye. There was no corresponding decrease for NIP or PAC 200 pre-loaded with humic acid and then exposed to MB. In fact, for PAC 200, the adsorption capacity of the activated carbon increased when it was pre-loaded with humic acid by 39%（p = 0.0005）. For wastewater, the NIP showed no significant increase or decrease in adsorption capacity during either simultaneous exposure or pre-loading. The adsorption capacity of PAC 200 increased by 40%（p = 0.001） for simultaneous exposure to wastewater and MB. Pre-loading with wastewater had no effect on MB adsorption by PAC 200.

关键词： Molecularly imprinted polymer Non-imprinted polymer Water treatment Wastewater treatment Activated carbon Micropollutants Pore-blocking Adsorption

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An Effective Discrete Artificial Bee Colony Based SPARQL Query Path Optimization by Reordering Triples

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Journal of Computer Science & Technology 2021年第2期36卷 445-462页

作者： Zeynep banu Ozger Nurgul Yuzbasioglu Uslu Department of Computer Engineering Sutcu Imam UniversityKahramanmaras 46040Turkey Department of Computer Engineering Yildiz Technical UniversityIstanbul 34220Turkey

Semantic Web has emerged to make web content machine-readable,and with the rapid increase in the number of web pages,its importance has *** description framework(RDF)is a special data graph format where Semantic Web data are stored and it can be queried by SPARQL query *** challenge is to find the optimal query order that results in the shortest period of *** this paper,the discrete Artificial Bee Colony(dABCSPARQL)algorithm is proposed,based on a novel heuristic approach,namely reordering SPARQL *** processing time of queries with different shapes and sizes is minimized using the dABCSPARQL *** performance of the proposed method is evaluated on chain,star,cyclic,and chain-star queries of different sizes from the Lehigh University Benchmark(LUBM)*** results obtained by the proposed method are compared with those of ARQ(a SPARQL processor for Jena)query engine,the Ant System,the Elitist Ant System,and MAX-MIN Ant System *** experiments demonstrate that the proposed method significantly reduces the processing time,and in most queries,the reduction rate is higher compared with other optimization methods.

关键词： artificial bee colony resource description framework(RDF) query optimization reordering triple pattern SPARQL

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Wind energy feasibility and wind turbine selection studies for the city Surat,India

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Clean Energy 2024年第3期8卷 166-173页

作者： Arshi banu P S Maanat Bhadani Hindustan Institute of Technology and Science ChennaiIndia The Doon School UttarakhandDehradunIndia

Wind energy represents a clean,abundant and cost-effective power source,fostering job growth and environmental *** wind energy harnesses several gigawatts today,its availability hinges on diverse factors,with geographical location standing *** turbines,with varying capacity ranges,saturate the *** site-specific suitability and matching the appropriate turbine to meet specific requirements are of paramount *** study aims to assess the feasibility of wind energy in Surat,Gujarat,India and select an optimal small commercial turbine for residential *** research involves Rayleigh and Weibull probability distribution functions based on yearlong velocity *** distributions are fitted with actual data,revealing the most probable velocity(v_(mf)=3 m/s)and velocity at maximum power(v_(pmax)=5 m/s).The power availability of the site has been assessed as 42.6 W/m^(2)using both graphical and analytical *** commercial turbines have been shortlisted based on on-site power criteria and their specifications are evaluated against site power availability.A comparative analysis culminates in identifying the most suitable turbine for the *** best suitable turbine for the site with an annual energy yield of 8 MW has been suggested amongst selected turbines for small-scale residential applications.

关键词： site feasibility wind energy commercial wind turbine probability distribution function rated power

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Synthesis and characterization of monosize magnetic poly(glycidyl methacrylate) beads

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China Particuology 2007年第1期5卷 174-179页

作者： Evrim banu Alt■ntas■ Lokman Uzun Adil Denizli Department of Chemistry Biochemistry Division Hacettepe University Ankara Turkey

Monosize, 1.6 μm, magnetic beads of poly（glycidyl methacrylate） [M-poly（GMA）], were prepared by dispersion polymerization in the presence of Fe3O4 nano-powder. Monosize M-poly（GMA） beads were characterized by swelling tests, density measurements, electron spin resonance （ESR）, vibrating sample magnetometer （VSM） and scanning electron microscopy （SEM）. The characteristic functional groups of M-poly（GMA） beads were analyzed by Fourier transform infrared spectrometer （FTIR）. The M-poly（GMA） beads are highly uniform in size and have a spherical shape and non-porous structure. Polydispersity index （PDI） of M-poly（GMA） beads was calculated to be around 1.008. The hydrated density of the M-poly（GMA） beads measured at 25 ℃ was 1.14 g/cm^3. The content of oxirane groups on the surface of the M-poly（GMA） sample was found to be 3.46 mmol/g by using perchloric acid titration. The specific surface area of the M-poly（GMA） beads was determined to be 3.2 m^2/g. The equilibrium swelling ratio was 52%. The volume fraction of magnetite nanopowder in the M-poly（GMA） beads was found to be 4.5%. The g factor, that can be considered as a quantity characteristic of the molecules in which the unpaired electrons are located, was found to be 2.28 for M-poly（GMA）. The external magnetic field at resonance was calculated to be 2055 Gs which was found sufficient to excite all of the dipole moments present in 1.0 g of M-poly（GMA） sample.

关键词： Polyglycidyl methacrylate Monosize beads Magnetic materials

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△_(h)-GOULD-HOPPER APPELL POLYNOMIALS

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Acta Mathematica Scientia 2021年第4期41卷 1196-1222页

作者： Mehmet Ali ÖZARSLAN banu YILMAZ YASAR Department of Mathematics Eastern Mediterranean UniversityFamagustaNorth Cyprus via Mersin 10Turkey

In this paper,we introduce the △_(h)-Gould-Hopper Appell polynomials An(x,y;h)via h-Gould-Hopper polynomials G_(n)^(h)(x,y).These polynomials reduces to △_(h)-Appell polynomials in the case y=0,△-Appell polynomials in the case y=0 and h=2D-Appell polynomials in the case h→0,2D △-Appell polynomials in the case h=1 and Appell polynomials in the case h→0 and y=*** obtain some well known main properties and an explicit form,determinant representation,recurrence relation,shift operators,difference equation,integro-difFerence equation and partial difference equation satisfied by *** satisfied by △_(h)-Gould-Hopper Appell polynomials reduce to determinant of all subclass of the usual ***,shift operators and difference equation satisfied by these polynomials reduce to recurrence,shift operators and difference equation of △_(h)-Appell polynomials,△-Appell polynomials;recurrence,shift operators,differential and integro-differential equation of 2D-Appell polynomials,recurrence,shift operators,integrodifference equation of 2D △-Appell polynomials,recurrence,shift operators,differential equation of Appell polynomials in the corresponding *** the special cases of the determining functions,we present the explicit forms,determinants,recurrences,difference equations satisfied by the degenerate Gould-Hopper Carlitz Bernoulli polynomials,degenerate Gould-Hopper Carlitz Euler polynomials,degenerate Gould-Hopper Genocchi polynomials,△_(h)-Gould-Hopper Boole polynomials and △_(h)-Gould-Hopper Bernoulli polynomials of the second *** particular cases of the degenerate Gould-Hopper Carlitz Bernoulli polynomials,degenerate Gould-Hopper Genocchi polynomials,△_(h)-Gould-Hopper Boole polynomials and △_(h)-Gould-Hopper Bernoulli polynomials of the second kind,corresponding determinants,recurrences,shift operators and difference equations reduce to all subclass of degenerate so-called families except for Genocchi polynomials recurrence,shift operators,an

关键词： △_(h)-Appell polynomials determinant recurrence difference equation

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Use of sub-micron sized resin particles for removal of endocrine disrupting compounds and pharmaceuticals from water and wastewater

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Journal of Environmental Sciences 2017年第1期29卷 256-264页

作者： Audrey Murray banu rmeci Edward P.C.Lai Department of Civil and Environmental Engineering Carleton University Department of Chemistry Carleton University

Endocrine disrupting compounds（EDCs） and pharmaceuticals pose a challenge for water and wastewater treatment because they exist at very low concentrations in the presence of substances at much higher concentrations competing for adsorption ***-micron sized resin particles（approximately 300 nm in diameter）（SMR） were tested to evaluate their potential as a treatment for EDCs including：17-β estradiol（E2）,17-α ethinylestradiol（EE2）,estrone（E1）,bisphenol A（BPA）,and diethylstilbestrol（DES） as well as 12 *** were able to remove 98%of spiked E2,80%of EE2,87%of BPA,and up to 97%of DES from *** a 0.5 ppm mixture of E2,EE2,E1,BPA and DES,the minimum removal was24%（E2） and the maximum was 49%（DES）.They were also able to remove the pharmaceuticals from deionized water and ***,SMR are a promising advanced treatment for removal of both EDCs and pharmaceuticals.

关键词： Water treatment Wastewater treatment Pharmaceuticals Endocrine disrupting compounds Micropollutants Adsorption

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