检索结果-南通市图书馆

Study of Type-B QPOs Observed in Black Hole X-Ray Binary Swift j1728.9-3613

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Research in Astronomy and Astrophysics 2024年第3期24卷 1-9页

作者： raj Kumar Astrophysical Sciences Division Bhabha Atomic Research CentreMumbai 400085India Homi Bhabha National Institute Mumbai 400094India

We report the detection of type-B quasi-periodic oscillation(QPO)of the black hole X-ray binary Swift j1728.9-3613 observed by NICER during the 2019 outburst.A type-B QPO was observed for the first two days and it disappeared as flux increased,but again appeared at∼7.70 Hz when flux was dramatically *** source was found in the soft intermediate state during these *** further studied the energy dependence of the *** found that QPO was observed only for a higher energy range implying that the origin of QPO is possibly due to the corona emitting higher energy photons by the inverse Compton *** variation of spectral parameters can be explained with the disk truncation *** fractional rms was found to be monotonically increased with *** phase lag spectrum followed the“U-shaped”*** rms and phase lag spectrum are modeled and explained with the single-component Comptonization model vkompthdk.

关键词： X-rays binaries-accretion-accretion disks-X-rays individual (Swift j1728.9-3613)

Modelling and Characterization of Basalt/Vinyl Ester/SiC Micro-and Nano-hybrid Biocomposites Properties Using Novel ANN–GA Approach

维普期刊数据库

同方期刊数据库评论

在线全文

学校读者我要写书评

暂无评论

journal of Bionic Engineering 2024年第2期21卷 938-952页

作者： Yesudhasan Thooyavan Lakshmi Annamali Kumaraswamidhas Robinson Dhas Edwin raj joseph Selvi Binoj Bright Brailson Mansingh Antony Sagai Francis Britto Alamry Ali Department of Mechanical Engineering Indian Institute of Technology Dhanbad(ISM)DhanbadJharkhand826004India Gati Shakti Vishwavidyalaya(GSV-A Central University Funded By GoI in the Ministry of Railways) LalbaugVadodaraGujarat390004India Institute of Mechanical Engineering Saveetha School of EngineeringSaveetha Institute of Medical and Technical Sciences(SIMATS)Saveetha UniversityChennaiTamilnadu602105India Metal joining Research Centre Department of Mechanical EngineeringSri Ramakrishna Engineering CollegeCoimbatoreTamilnadu641022India Department of Mechanical Engineering Rohini College of Engineering and TechnologyPalkulamTamil Nadu629401India Department of Mechanical Engineering College of Engineering in Al-KharjPrince Sattam Bin Abdulaziz University11942Al-KharjSaudi Arabia

Basalt fiber reinforcement in polymer matrix composites is becoming more and more popular because of its environmental friendliness and mechanical qualities that are comparable to those of synthetic *** fiber strengthened vinyl ester matrix polymeric composite with filler addition of nano-and micro-sized silicon carbide(SiC)element spanning from 2 weight percent to 10 weight percent was studied for its mechanical and wear *** application of Artificial Neural Network(ANN)to correlate the filler addition composition for optimum mechanical properties is required due to the non-linear mechanical and tribological features of *** stuffing blend and composition of the composite are optimized using the hybrid model and Genetic Algorithm(GA)to maximize the mechanical and wear-resistant *** predicted and tested ANN–GA optimal values obtained for the composite combination had a tensile,flexural,impact resilience,hardness and wear properties of 202.93 MPa,501.67 MPa,3.460 j/s,43 HV and 0.196 g,respectively,for its optimum combination of filler and *** can be noted that the nano-sized SiC filler particle enhances most of the properties of the composite which diversifies its *** predicted mechanical and wear values of the developed ANN–GA model were in closer agreement with the experimental values which validate the model.

关键词： Hybrid polymer composite Prediction Process modelling Artificial neural networks Genetic algorithm

AVirtual Cloud Storage Architecture for Enhanced Data Security

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Computer Systems Science & Engineering 2023年第2期44卷 1735-1747页

作者： M.Antony joans Kumar C.Christopher Columbus E.Ben George T.Ajith bosco raj Department of Information Technology St.Xavier’s Catholic College of EngineeringNagercoil629003Tamil NaduIndia Department of Computer Science Engineering PSN College of Engineering and TechnologyTirunelveli627152India Department of Computer Science Engineering University of Technology and Applied SciencesMuscat112Oman Department of Electronics and Communications Engineering PSN College of Engineering and TechnologyTirunelveli627152India

The sensitive data stored in the public cloud by privileged users,such as corporate companies and government agencies are highly vulnerable in the hands of cloud providers and *** proposed Virtual Cloud Storage Archi-tecture is primarily concerned with data integrity and conﬁdentiality,as well as *** provide conﬁdentiality and availability,theﬁle to be stored in cloud storage should be encrypted using an auto-generated key and then encoded into distinct *** the encoded chunks ensured theﬁle integrity,and a newly proposed Circular Shift Chunk Allocation technique was used to determine the order of chunk ***ﬁle could be retrieved by performing the opera-tions in *** the regenerating code,the model could regenerate the missing and corrupted chunks from the *** proposed architecture adds an extra layer of security while maintaining a reasonable response time and sto-rage *** results analysis show that the proposed model has been tested with storage space and response time for storage and *** VCSA model consumes 1.5x(150%)storage *** was found that total storage required for the VCSA model is very low when compared with 2x Replication and completely satisﬁes the CIA *** response time VCSA model was tested with different sizedﬁles starting from 2 to 16 *** response time for storing and retrieving a 2 MBﬁle is 4.96 and 3.77 s respectively,and for a 16 MBﬁle,the response times are 11.06 s for storage and 5.6 s for retrieval.

关键词： Erasure code regenerating code cryptography virtual cloud storage architecture circular shift chunk allocation algorithm

Traditional Healer’s Medicinal Practice Survey and Clinical Evidence Assessment of “YIKI”: An Antimalarial Phytomedicine Recipe from Bobo-Dioulasso, Burkina Faso

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Pharmacology & Pharmacy 2024年第7期15卷 248-267页

作者： Zachari Kabre Rakiswende Serge Yerbanga Aminata Fofana Roland Nâg-Tiero Meda Anyirekun Fabrice Some Alassane Haro Natacha A. j. A. Boro Fazhira B. Ye Benjamin Kouliga Koama Sami Eric Kam Eliasse Zongo Hadidjatou Belèm Windmi Kagambèga Florence Fournet Georges A. Ouedraogo jean-bosco Ouedraogo Institut de Recherche en Sciences de la Sant Direction Rgionale de lOuest Bobo-Dioulasso Burkina Faso Laboratoire de Recherche et dEnseignement en Sant et Biotechnologies Animales Universit Nazi BONI Bobo-Dioulasso Burkina Faso Institut des Sciences et Techniques Bobo-Dioulasso Burkina Faso Laboratoire de Recherche en Bactriologie INSP/Centre MURAZ Bobo-Dioulasso Burkina Faso Maladies Infectueuses et Vecteurs: Ecologie Gntique Evolution et Contrle (MIVEGEC) Institut de Recherche pour le Dveloppement Universit de Monpellier Montpellier France

YIKI is an antimalarial phytomedicine used by a traditional healer to treat malaria in Bobo-Dioulasso. However, there is no scientific evidence to support its use by local populations. The aim of this study was to identify the medicinal practices of the healer holder of YIKI and assess the clinical evidence of its phytomedicine in the uncomplicated malaria treatment. Ethnomedical survey based on a semi-structured and open questionnaire was conducted from October to December 2019 with the healer. Malaria knowledge and diagnosis methods, patient treatment and monitoring, and recipe formulation steps were surveyed. Moreover, thick and thin blood smears were taken, haemoglobin levels and temperature of consenting patients were measured before treatment, mid-treatment and at the end of treatment. The survey revealed that the healer has a good knowledge of malaria symptoms and his diagnosis is based on observation and physical examination of patients. The healer’s malaria diagnosis was rudimentary and had accuracy problems, with only 62.79% of malaria cases confirmed by microscopy. The formulation of YIKI and its use to treat malaria follow a standard process for plant harvesting, powder quantities and posology, but do not use any reproducible parameters for dose adjustment. Forty-three patients diagnosed and treated by the healer participated in the study. Laboratory results revealed 27 Plasmodium falciparum infection cases, including 2 with parasitaemia ≥ 200,000 p/µl blood. 25 patients were selected for therapeutic evidence assessment. There was a 48% elimination of parasites, a 28% parasitaemia decrease without complete cure, with gametocytogenesis in some patients, and a 24% parasitaemia increase. Haemoglobin and temperature results suggested that YIKI was not cytotoxic and reduced fever. Encouraging preliminary results have been obtained, but in view of the low number of patients, further YIKI efficacy and toxicity studies will be necessary for patient safety.

关键词： Antimalarial-Phytomedicine Efficacy Traditional Practices Bobo-Dioulasso

Analysis of Bio-inspired Fishbone Based Corrugated Rib for Adaptive Camber Morphing

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

journal of Bionic Engineering 2023年第3期20卷 1083-1102页

作者： R.jini raj j.Bruce Ralphin Rose A.Vasudevan Department of Mechanical Engineering Anna University Regional CampusTirunelveli627007India Saveetha School of Engineering SIMATSChennai600124India

Bioinspired active camber morphing is an innovative solution for the aerodynamic performance enhancement of flight vehicles such as Micro Aerial Vehicles(MAVs)and Unmanned Aerial Vehicles(UAVs).In the present article,a bio-inspired Fish Bone Active Camber(FishBAC)corrugated rib design concept with and without a spine for an Unmanned Aerial Vehicle(UAV)is *** wing model is composed of multiple corrugated ribs and a splitted spar for connecting each *** rib geometry is subjected to static structural analysis using ANSYS Finite Element Analysis(FEA)module under the unit load *** deformation modes are first extracted from the solution of the wind tunnel test and the elastically deformed NACA 4412 profile will be used to perform Fluid-Structure Interaction(FSI)studies as a partly coupled *** corrugated rib with spine design is a stable structure as inspired from nature species that can withstand elastic and inertial *** fluid dynamics(CFD)simulation is performed to compute the coefficient of lift(Cl),coefficient of drag(Cd)at different Angle of Attack(AoA)for a modified NACA 4412 airfoil and the pressure loads acting on the deformed shape is *** Cl obtained for the modified airfoil at lower AoA is about 60–80%higher and the maximum Cl(Clmax)is 62%higher than the baseline *** Cd of modified airfoil is reduced about 20%at the AoAα=3°as compared with the baseline *** proposed corrugated rib structure has been successfully 3D printed with Polylactic Acid plus(PLA+)material and the wind tunnel testing is done to validate the Cl,Cd values obtained through CFD simulations and the results are presented.

关键词： Bioinspired design Active morphing Fish bone Wind tunnel CFD

Photon orbits and phase transition for Letelier AdS black holes immersed in perfect fluid dark matter

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Chinese Physics C 2024年第6期48卷 247-259页

作者： Ashima Sood Md Sabir Ali j.K.Singh Sushant G.Ghosh Department of Mathematics Netaji Subhas University of TechnologyNew Delhi-110078India Centre for Theoretical Physics Jamia Millia IslamiaNew Delhi 110025India Department of Physics Mahishadal Raj CollegePurba MedinipurWest Bengal721628India Institute of Theoretical Physics&Research Center of Gravitation Lanzhou UniversityLanzhou 730000China Key Laboratory of Quantum Theory and Applications of MoE Lanzhou UniversityLanzhou 730000China Lanzhou Center for Theoretical Physics&Key Laboratory of Theoretical Physics of Gansu Province Lanzhou UniversityLanzhou 730000China Astrophysics and Cosmology Research Unit School of MathematicsStatistics and Computer ScienceUniversity of KwaZulu-NatalPrivate Bag X54001Durban 4000South Africa

We obtain an exact solution for spherically symmetric Letelier AdS black holes immersed in perfect fluid dark matter(PFDM).Considering the cosmological constant as the positive pressure of the system and volume as its conjugate variable,we analyze the thermodynamics of our black holes in the extended phase *** to the background clouds of strings parameter(a)and the parameter endowed with PFDM(β),we analyze the Hawking temperature,entropy,and specific ***,we investigate the relationship between the photon sphere radius and phase transition for the Letelier AdS black holes immersed in *** the analysis,with a particular condition,non-monotonic behaviors are found between the photon sphere radius,impact parameter,PFDM parameter,temperature,and *** can regard the changes in both the photon sphere radius and impact parameter before and after phase transition as the order parameter;their critical exponents near the critical point are equal to the same value,1/2,similar to that in ordinary thermal *** indicates that a universal relation of gravity may exist near the critical point for a black hole thermodynamic system.

关键词： AdS black holes perfect fluid dark matter Letelier spacetime photon orbit extended phase space thermodynamics correlation of photon orbit and thermodynamics

Intrusion Detection Using Ensemble Wrapper Filter Based Feature Selection with Stacking Model

维普期刊数据库

同方期刊数据库评论

在线全文

学校读者我要写书评

暂无评论

Intelligent Automation & Soft Computing 2023年第1期35卷 645-659页

作者： D.Karthikeyan V.Mohan raj j.Senthilkumar Y.Suresh Department of ECE KongunaduCollege of Engineering and TechnologyTrichy621215India Department of IT Sona College of TechnologySalem636005India

The number of attacks is growing tremendously in tandem with the growth of internet *** a result,protecting the private data from prying eyes has become a critical and tough *** intrusion detection solutions have been offered by researchers in order to decrease the effect of these *** attack detection,the prior system has created an SMSRPF(Stacking Model Significant Rule Power Factor)*** provide creative instance detection,the SMSRPF combines the detection of trained classifiers such as DT(Decision Tree)and RF(Random Forest).Nevertheless,it does not generate any accuratefindings that are *** suggested system has built an EWF(Ensemble Wrapper Filter)feature selection with SMSRPF classifier for attack detection so as to overcome this *** UNSW-NB15 dataset is used as an input in this proposed research ***,min–max normalization approach is used to pre-process the incoming *** feature selection is then carried out using *** on the selected features,SMSRPF classifiers are utilized to detect the *** SMSRPF is integrated with the trained classi-fiers such as DT and RF to create creative instance *** that,the testing data is classified using MCAR(Multi-Class Classification based on Association Rules).The SRPF judges the rules correctly even when the confidence and the lift measures *** accuracy,precision,recall,f-measure,computation time,and error,the experimental findings suggest that the new system outperforms the prior systems.

关键词： Intrusion detection system(IDS) ensemble wrapperfilter(EWF) stacking model with significant rule power factor(SMSRPF) classifier

Design of Human Adaptive Mechatronics Controller for Upper Limb Motion Intention Prediction

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Computers, Materials & Continua 2022年第4期71卷 1171-1188页

作者： R.joshua Samuel raj j.Prince Antony joel Salem Alelyani Mohammed Saleh Alsaqer C.Anand Deva Durai Department of Information Science&Engineering CMR Institute of TechnologyBengaluruIndia Department of Mechatronics Engineering Rajas Engineering CollegeTirunelveliIndia Center for Artificial Intelligence King Khalid UniversityAbhaKingdom of Saudi Arabia College of Computer Science King Khalid UniversityAbhaKingdom of Saudi Arabia

Human Adaptive Mechatronics(HAM)includes human and computer system in a closed *** person with disabilities,normally carry out their daily routines with some assistance to move their *** the short fall of human care takers,mechatronics devices are used with the likes of exoskeleton and exosuits to assist *** rehabilitation and occupational therapy equipments utilize the electromyography(EMG)signals to measure the muscle activity *** paper focuses on optimizing the HAM model in prediction of intended motion of upper limb with high accuracy and to increase the response time of the *** characteristics extraction from EMG signal and prediction of optimal controller parameters are *** and frequency based approach of EMG signal are considered for feature *** models used for estimating motion and muscle parameters from EMG signal for carrying out limb movement predictions are *** on the extracted features,optimal parameters are selected by Modified Lion Optimization(MLO)for controlling the HAM ***,supervised machine learning makes predictions at different points in time for individual sensing using Support Vector Neural Network(SVNN).This model is also evaluated based on optimal parameters of motion estimation and the accuracy level along with different optimization models for various upper limb *** proposed model of human adaptive controller predicts the limb movement by 96%accuracy.

关键词： Exoskeleton electromyography(emg) human adaptive mechatronics occupational therapy motion prediction machine learning

Hybrid Bacterial Foraging Optimization with Sparse Autoencoder for Energy Systems

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Computer Systems Science & Engineering 2023年第4期45卷 701-714页

作者： Helen josephine V L Ramchand Vedaiyan V.M.Arul Xavier joy Winston j A.jegatheesan D.Lakshmi joshua Samuel raj Business Analytics School of Business and ManagementChrist UniversityBangalore560029India Department of Computer Science and IT School of SciencesJain Deemed to be UniversityBangalore560027India Department of Computer Science and Engineering Karunya Institute of Technology and SciencesCoimbatore641114India College of Computer Studies University of Technology Bahrain18041Bahrain Institute of Computer Science and Engineering Saveetha School of EngineeringSaveetha Institute of Medical and Technical SciencesChennai602105India Department of Computer Science and Engineering Panimalar Institute of TechnologyChennai600123India Department of Information Science&Engineering CMR Institute of TechnologyBengaluru560037India

The Internet of Things(IoT)technologies has gained significant interest in the design of smart grids(SGs).The increasing amount of distributed generations,maturity of existing grid infrastructures,and demand network transformation have received maximum *** essential energy storing model mostly the electrical energy stored methods are developing as the diagnoses for its procedure was becoming further *** dynamic electrical energy stored model using Electric Vehicles(EVs)is comparatively standard because of its excellent electrical property and flexibility however the chance of damage to its battery was there in event of overcharging or deep discharging and its mass penetration deeply influences the *** paper offers a new Hybridization of Bacterial foraging optimization with Sparse Autoencoder(HBFOA-SAE)model for IoT Enabled energy *** proposed HBFOA-SAE model majorly intends to effectually estimate the state of charge(SOC)values in the IoT based energy *** accomplish this,the SAE technique was executed to proper determination of the SOC values in the energy ***,for improving the performance of the SOC estimation process,the HBFOA is *** addition,the HBFOA technique is derived by the integration of the hill climbing(HC)concepts with the BFOA to improve the overall *** ensuring better outcomes for the HBFOA-SAE model,a comprehensive set of simulations were performed and the outcomes are inspected under several *** experimental results reported the supremacy of the HBFOA-SAE model over the recent state of art approaches.

关键词： Internet of things energy systems state of charge estimation machine learning deep learning metaheuristics