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Anomaly Detection and Classification in Streaming PMU Data in Smart Grids

Computer Systems Science & Engineering 2023年第9期46卷 3387-3401页

作者： a.l.amutha R.Annie Uthra J.Preetha Roselyn R.Golda Brunet Department of Computational Intelligence SRM Institute of Science and TechnologyChennai603203India Department of Electrical and Electronics Engineering SRM Institute of Science and TechnologyChennai603203India Department of Computer Science and Engineering Government College of EngineeringSalem636011India

The invention of Phasor Measurement Units(PMUs)produce synchronized phasor measurements with high resolution real time monitoring and control of power system in smart grids that make *** are used in transmitting data to Phasor Data Concentrators(PDC)placed in control centers for monitoring purpose.A primary concern of system operators in control centers is maintaining safe and efficient operation of the power *** can be achieved by continuous monitoring of the PMU data that contains both normal and abnormal *** normal data indicates the normal behavior of the grid whereas the abnormal data indicates fault or abnormal conditions in power *** a result,detecting anomalies/abnormal conditions in the fast flowing PMU data that reflects the status of the power system is critical.A novel methodology for detecting and categorizing abnormalities in streaming PMU data is presented in this *** proposed method consists of three modules namely,offline Gaussian Mixture Model(GMM),online GMM for identifying anomalies and clustering ensemble model for classifying the *** significant features of the proposed method are detecting anomalies while taking into account of multivariate nature of the PMU dataset,adapting to concept drift in the flowing PMU data without retraining the existing model unnecessarily and classifying the *** proposed model is implemented in Python and the testing results prove that the proposed model is well suited for detection and classification of anomalies on the fly.

关键词： Smart Grid PMU data incremental learning classifying anomalies artificial intelligence

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Deep Neural Network Based Cardio Vascular Disease Prediction Using Binarized Butterfly Optimization

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Intelligent Automation & Soft Computing 2023年第5期36卷 1863-1880页

作者： S.amutha J.Raja Sekar Department of Computer Science and Engineering Mepco Schlenk Engineering College(Autonmous)SivakasiIndia

In this digital era,Cardio Vascular Disease(CVD)has become the lead-ing cause of death which has led to the mortality of 17.9 million lives each *** Diagnosis of the people who are at higher risk of CVDs helps them to receive proper treatment and helps prevent *** becomes inevitable to pro-pose a solution to predict the CVD with high accuracy.A system for predicting Cardio Vascular Disease using Deep Neural Network with Binarized Butterﬂy Optimization Algorithm(DNN–BBoA)is *** BBoA is incorporated to select the best *** optimal features are fed to the deep neural network classiﬁer and it improves prediction accuracy and reduces the time *** usage of a deep neural network further helps to improve the prediction accu-racy with minimal *** proposed system is tested with two datasets namely the Heart disease dataset from UCI repository and CVD dataset from Kag-gle *** proposed work is compared with different machine learning classiﬁers such as Support Vector Machine,Random Forest,and Decision Tree Classiﬁ*** accuracy of the proposed DNN–BBoA is 99.35%for the heart dis-ease data set from UCI repository yielding an accuracy of 80.98%for Kaggle repository for cardiovascular disease dataset.

关键词： Deep neural network cardio vascular disease binarized butterﬂy optimization algorithm feature selection

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Beginning from the end:the presynaptic terminal as a pathomechanism hub in frontotemporal dementia and amyotrophic lateral sclerosis

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Neural Regeneration Research 2025年第11期20卷 3217-3218页

作者： laura Huggon Emma l.Clayton UK Dementia Research Institute at King’s College london LondonUK Department of Basic and Clinical Neuroscience Institute of Psychiatry Psychology&NeuroscienceKing’s College LondonLondonUK

Frontotemporal dementia and amyotrophic lateral sclerosis:Frontotemporal dementia(F T D)and amyo t rophic lateral sclerosis(AlS)are neurodegenerative diseases with significant overlapping *** these neurodegenerative diseases affect different neuronal populations(with FTD affecting neurons of the frontal and temporal lobes,and AlS affecting upper and lower motor neurons),these two diseases are complexly *** and AlS exist on a disease spectrum,with shared genetic causes,clinical presentations,and pathologies.

关键词： diseases amyotrophic sclerosis

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A Self‑Powered Piezoelectric Nanofibrous Membrane as Wearable Tactile Sensor for Human Body Motion Monitoring and Recognition

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Advanced Fiber Materials 2023年第4期5卷 1417-1430页

作者： Jingcheng li Jing Yin Mei Gui Vanessa Wee amutha Chinnappan Seeram Ramakrishna Centre for Nanotechnology and Sustainability Department of Mechanical EngineeringNational University of SingaporeSingapore 117081Singapore National Engineering laboratory for Modern Silk College of Textile and Clothing EngineeringSoochow UniversitySuzhouChina Integrative Sciences and Engineering Program NUS Graduate SchoolNational University of SingaporeSingapore 119077Singapore

Wearable sensors have drawn vast interest for their convenience to be worn on body to monitor and track body movements or exercise activities in real ***,wearable electronics rely on powering systems to ***,a self-powered,porous,flexible,hydrophobic and breathable nanofibrous membrane based on electrospun polyvinylidene fluoride(PVDF)nanofiber has been developed as a tactile sensor with low-cost and simple fabrication for human body motion detection and ***,effects of multi-walled carbon nanotubes(CNT)and barium titanate(BTO)as additives to the fiber morphology as well as mechanical and dielectric properties of the piezoelectric nanofiber membrane were *** fabricated BTO@PVDF piezoelectric nanogenerator(PENG)exhibits the highβ-phase content and best overall electrical performances,thus selected for the flexible sensing device ***,the nanofibrous membrane demonstrated robust tactile sensing performance that the device exhibits durability over 12,000 loading test cycles,holds a fast response time of 82.7 ms,responds to a wide pressure range of 0-5 bar and shows a high relative sensitivity,especially in the small force range of 11.6 V/bar upon pressure applied perpendicular to the ***,when attached on human body,its unique fibrous and flexible structure offers the tactile sensor to present as a health care monitor in a self-powered manner by translating motions of different movements to electrical signals with various patterns or sequences.

关键词： Electrospinning Nanofiber Piezoelectric sensor PENG Wearable Self-powered device

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RMCARTAM For DDoS Attack Mitigation in SDN Using Machine learning

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Computer Systems Science & Engineering 2023年第6期45卷 3023-3036页

作者： M.Revathi V.V.Ramalingam B.amutha Department of Computing Technologies SRM Institute of Science and TechnologyKattankulathurChennai603203Tamil NaduIndia

The impact of a Distributed Denial of Service(DDoS)attack on Soft-ware Defined Networks(SDN)is briefly *** approaches to detecting DDoS attacks exist,varying on the feature being considered and the method ***,the methods have a deficiency in the performance of detecting DDoS attacks and mitigating *** improve the performance of SDN,an efficient Real-time Multi-Constrained Adaptive Replication and Traffic Approximation Model(RMCARTAM)is sketched in this *** RMCARTAM considers different parameters or constraints in running different controllers responsible for handling incoming *** model is designed with multiple controllers to handle net-work traffic but can turn the controllers according to *** multi-con-straint adaptive replication model monitors different features of network traffic like rate of packet reception,class-based packet reception and target-specific *** to these features,the method estimates the Replication Turn-ing Weight(RTW)based on which triggering controllers are ***,the method applies Traffic Approximation(TA)in the detection of DDoS *** detection of a DDoS attack is performed by approximating the incoming traf-fic to any service and using various features like hop count,payload,service fre-quency,and malformed frequency to compute various support measures on bandwidth access,data support,frequency support,malformed support,route sup-port,and so *** all these support measures,the method computes the value of legitimate weight to conclude the behavior of any source in identifying the mal-icious *** node details are used in the mitigation of DDoS *** method stimulates the network performance by reducing the power factor by switching the controller according to different factors,which also reduces the *** the same way,the proposed model improves the accuracy of detecting DDoS attacks by estimating the features of incoming traffic in

关键词： DDoS SDN traffic approximation adaptive replication multi-controller support measures RTW

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Multiple sclerosis is at a checkpoint: advancing the program

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Neural Regeneration Research 2025年第3期20卷 811-812页

作者： Brandon C.Smith Jessica l.Williams Department of Neurosciences Lerner Research InstituteCleveland ClinicClevelandOHUSA Department of Biological Geologicaland Environmental SciencesCleveland State UniversityClevelandOHUSA

Multiple sclerosis(MS) is a chronic inflammatory and demyelinating disease of the central nervous system(CNS). Patients with MS experience sensory and motor function loss due to myelin and/or axon damage perpetuated b... 详细信息

关键词： Hauser sclerosis damage

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Generation of brain vascular heterogeneity:recent advances from the perspective of angiogenesis

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Neural Regeneration Research 2025年第7期20卷 2013-2014页

作者： Nathanael J.lee Ryota l.Matsuoka Department of Neurosciences Lerner Research InstituteCleveland ClinicClevelandOHUSA Department of Molecular Medicine Cleveland Clinic Lerner College of MedicineCase Western Reserve UniversityClevelandOHUSA

Heterogeneous proper t i es of vascular endothelial cells in the brain:The brain displays large energy dynamics and consumption,and this high level of metabolic demands is fulfilled by a continuous supply of glucose and oxygen through its vascular *** vasculature consists of highly divergent blood vessel branches,giving rise to a dense network of capillaries that supply blood to all cells across the *** elaborated vascular network is thought to develop via angiogenesis,a process in which new blood vessels grow from pre-existing *** capillaries exhibit organotypic features distinct from other tissues and are formed primarily by two major endothelial cell(EC)types:those that form the semi-permeable blood-brain barrier(BBB)and those that develop highly permeable pores known as fenestrae(Matsuoka et al.,2022).The structural and functional differences between BBB and fenestrated vascular ECs represent a fundamental feature of brain vasculature and form the foundation for both brain function and homeostasis.

关键词： angiogenesis homeostasis network

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Force and impulse multi-sensor based on flexible gate dielectric field effect transistor

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International Journal of Minerals,Metallurgy and Materials 2025年第1期32卷 214-220页

作者： Chao Tan Junling lü Chunchi Zhang Dong liang lei Yang Zegao Wang College of Materials Science and Engineering Sichuan UniversityChengdu 610065China The 54th Research Institute of China Electronics Technology Group Corporation Shijiazhuang 050081China

Nowadays,force sensors play an important role in industrial production,electronic information,medical health,and many other ***-dimensional material-based filed effect transistor(2D-FET)sensors are competitive with nano-level size,lower power consumption,and accurate ***,few of them has the capability of impulse detection which is a path function,expressing the cumulative effect of the force on the particle over a period of *** we fabricated the flexible polymethyl methacrylate(PMMA)gate dielectric MoS_(2)-FET for force and impulse sensor *** systematically investigated the responses of the sensor to constant force and varying forces,and achieved the conversion factors of the drain current signals(I_(ds))to the detected impulse(I).The applied force was detected and recorded by I_(ds)with a low power consumption of~30 *** sensitivity of the device can reach~8000%and the 4×1 sensor array is able to detect and locate the normal force applied on ***,there was almost no performance loss for the device as left in the air for two months.

关键词： flexible gate dielectric transistor force sensor impulse sensor force sensor array

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Nanocomposites for electronic applications that can be embedded for textiles and wearables

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Science China(Technological Sciences) 2019年第6期62卷 895-902页

作者： SERRANO-GARCIA William JAYATHIlAKA Wanasinghe Arachchige Dumith Madushanka CHINNAPPAN amutha TRAN Thang Quyet BASKAR Chinnappan THOMAS Sylvia Wilson RAMAKRISHNA Seeram Department of Electrical Engineering University of South Florida Tampa 33620 USA Department of Mechanical Engineering National University of Singapore Singapore 119077 Singapore THDC Institute of Hydropower Engineering and Technology Tehri Uttarakhand Technical University Dehradun 249001 India

In the present review, we have selected advances in electrospinning nanofibers that we envision to be embedded in textiles and wearables. These nanofibers have been proven to be excellent options for applications such as power generation, sensing, and communication. Their similitude with already known woven meshes makes these fibers perfect for electronically active *** fibers offer well known characteristics such as mechanical flexibility, high surface area-to-volume ratio, light weight and can be tuned by carefully selecting the active materials in the precursor solution. Here we will discuss polymers with electroactive, piezoelectric, triboelectric and their composites that have been used in fiber structures by using the electrospinning technique.

关键词： nanofibers electrospinning electronic textiles electroactive materials

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Viscosity and structure relationship with equimolar substitution of CaO with MgO in the CaO–MgO–Al_(2)O_(3)–SiO_(2)slag melts

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International Journal of Minerals,Metallurgy and Materials 2025年第1期32卷 70-79页

作者： Yong Hou Shuo Zhang Jie Dang Jia Guo Hanghang Zhou Xuewei lü College of Materials Science and Engineering Chongqing UniversityChongqing 400044China Chongqing Key laboratory of Vanadium-Titanium Metallurgy and New Materials Chongqing UniversityChongqing 400044China

Currently,the Al_(2)O_(3)content in the high-alumina slag systems within blast furnaces is generally limited to 16wt%–18.5wt%,making it challenging to overcome this *** most studies that concentrated on managing the MgO/Al_(2)O_(3)ratio or basicity,this paper explored the effect of equimolar substitution of MgO for CaO on the viscosity and structure of a high-alumina CaO-MgO-Al_(2)O_(3)-SiO_(2)slag system,providing theoretical guidance and data to facilitate the application of high-alumina *** results revealed that the viscosity first decreased and then increased with higher MgO substitution,reaching a minimum at 15mol%MgO *** transform infrared spectroscopy(FTIR)results found that the depths of the troughs representing[SiO_(4)]tetrahedra,[AlO_(4)]tetrahedra,and Si-O-Al bending became progressively deeper with increased MgO *** of the Raman spectra showed that the average number of bridging oxygens per Si atom and the X_(Q^(3))/X_(Q^(2))(X_(Q^(i))is the molar fraction of Q^(i) unit,and i is the number of bridging oxygens in a[SiO_(4)]tetrahedral unit)ratio increased from 2.30 and 1.02 to 2.52 and 2.14,respectively,indicating a progressive polymerization of the silicate structure.X-ray photoelectron spectroscopy(XPS)results highlighted that non-bridging oxygen content decreased from 77.97mol% to 63.41mol% with increasing MgO concentration,whereas bridging oxygen and free oxygen contents *** analysis demonstrated a gradual increase in the polymerization degree of the tetrahedral structure with the increase in MgO ***,bond strength is another important factor affecting the slag *** occurrence of a viscosity minimum can be attributed to the complex evolution of bond strengths of non-bridging oxygens generated during depolymerization of the[SiO_(4)]and[AlO_(4)]tetrahedral structures by CaO and MgO.

关键词： aluminosilicate viscosity structure spectroscopy

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