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Optimized PI Controller Based reboost Luo Converter for Micro Grid Application

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Intelligent Automation & Soft Computing 2023年第4期36卷 1151-1172页

作者： r.K.Negesh S.Karthikeyan Marthandam College of Engineering and Technology Kuttakuzhi629177India KSr College of Engineering Thiruchengode637215India

In the recent era,the signiﬁcance of renewable Energy(rE)sources in the process of power generation has attained considerable attention as it provides multiple beneﬁcial impacts without harming the *** Photovoltaic(PV)and Doubly-Fed Induction Generator(DFIG)fed wind turbine are employed as hybrid power sources in this *** output voltages of these sources are independently controlled by separate controllers in an optimal manner for effec-tively maximizing the overall performance of the *** reboost Luo con-verter is introduced in this work to maximize the output voltage of PV in an efﬁcient manner whereas the Grey Wolf Optimization(GWO)tuned Proportional Integral(PI)is used to optimize the converter *** wind turbine output is fed to rectiﬁer that is controlled by a PI ***,a battery setup is utilized with bidirectional converter as a secondary power source to ensure con-tinuous power supply to the *** intelligent Adaptive Neuro-Fuzzy Inference System(ANFIS)is implemented to regulate the powerﬂow in two directions between the battery and Point of Common Coupling(PCC).The output of PV,Wind and Battery are combined at a single point and fed to the grid through a three phase *** overall setup is validated through MATLAB Simulink and the performances are veriﬁed with the developed experimental prototype.

关键词： reboostluoconverter GWOalgorithm DQtheory PVsystem microgrid

Nuclear magnetic moments in covariant density functional theory

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Frontiers of physics 2018年第6期13卷 115-132页

作者： jian Li j.Meng College of Physics Jilin UniversityChangchun 130012China Department of Physics Western Michigan UniversityKalamazooMI 49008USA State Key Laboratory of Nuclear Physics and Technology School of PhysicsPeking UniversityBeijing 100871China Yukawa Institute for Theoretical Physics Kyoto UniversityKyoto 606-8502Japan Department of Physics University of StellenboschStellenboschSouth Africa

Nuclear magnetic moment is an important physical variable and serves as a useful tool for the stringent test of nuclear models. For the past decades, the covariant density functional theory and its extension have been proved to be successful in describing the nuclear ground-states and excited states properties. However, a long-standing problem is its failure to predict magnetic moments. This article reviews the recent progress in the description of the nuclear magnetic moments within the covariant density functional theory. In particular, the magnetic moments of spherical odd-A nuclei with doubly closed shell core plus or minus one nucleon and deformed odd-A nuclei.

关键词： nuclear magnetic moment covariant density functional theory meson exchange current configuration mixing

Problems, potentials and future of industrial crystallization

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Frontiers of Chemical Science and Engineering 2013年第1期7卷 1-8页

作者： j. Ulrich P. Frohberg Center for Engineering Science Thermal Process Engineering Martin Luther University Halle-Wittenberg D-06099 Halle (Saale) Germany

This review discusses important research developments and arising challenges in the field of industrial crystallization with an emphasis on recent problems. The most relevant areas of research have been identified. These are the prediction of phase diagrams; the prediction of effects of impurities and additives; the design of fluid dynamics; the process control with process analytical technologies （PAT） tools; the polymorph and solvate screening; the stabilization of non-stable phases; and the product design. The potential of industrial crystallization in various areas is outlined and discussed with particular reference to the product quality, process design, and control. On this basis, possible future directions for research and development have been pointed out to highlight the importance of crystallization as an outstanding technique for separation, purification as well as for product design.

关键词： industrial crystallization potentials and future product design

Gas chromatographic separation and determination of chloroanthracene isomers on fly ash

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journal of Environmental Sciences 1991年第3期3卷 81-90页

作者： r.V.Hoffman G.A.Eiceman Chemistry Department New Mexico State University Las Cruces NM 88003 U. S. A.Chemistry Department New Mexico State University Las Cruces NM 88003 U. S. A.

An efficient, reproducible and rapid fused silica capillary column gas chromatographic method, in splitless mode, for analysing of the three chloroanthracene isomers is described. The method affords efficient separation and good linearity for each isomer in the range of 0.2 -200 μg/ml. The method can also be used in separation and determination of another thirty three aromatic and their halosubstituted compounds. This paper also presents the applications of the method in analysing of complex products mixture from reaction of the selected aromatic compounds with hydrogen chloride on fly ash surface from municipal incinerator.

关键词： gas cnromatograpny cmoroanmtnacene isomers ny asn.

Detecting and Preventing of Attacks in Cloud Computing Using Hybrid Algorithm

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Intelligent Automation & Soft Computing 2023年第1期35卷 79-95页

作者： r.S.Aashmi T.jaya Department of Computer Science and Engineering CSI Institute of TechnologyThovalaiIndia Department of Electronic Communications and Engineering CSI Institute of TechnologyThovalaiIndia

Cloud computing is the technology that is currently used to provide users with infrastructure,platform,and software services *** this system,Platform as a Service(PaaS)offers a medium headed for a web development platform that uniformly distributes the requests and *** using Denial of service(DoS)and Distributed Denial of Service(DDoS)attacks abruptly interrupt these *** though several existing methods like signature-based,statistical anomaly-based,and stateful protocol analysis are available,they are not sufficient enough to get rid of Denial of service(DoS)and Distributed Denial of Service(DDoS)attacks and hence there is a great need for a definite *** this issue,we propose an improved hybrid algorithm which is a combination of Multivariate correlation analysis,Spearman coefficient,and mitigation *** can easily differentiate common traffic and attack *** only that,it greatly helps the network to distribute the resources only for authenticated *** effects of comparing with the normalized information have shown an extra encouraging detection accuracy of 99%for the numerous DoS attack as well as DDoS attacks.

关键词： Hybrid algorithm(HA) distributed denial of service(DDoS) denial of service(DoS) platform as a service(PaaS) infrastructure as a service(IaaS) software as a service(SaaS)

Classification of request-Based Mobility Load Balancing in Fog Computing

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Computer Systems Science & Engineering 2023年第7期46卷 137-151页

作者： D.Deepa K.r.jothi School of Computer Science and Engineering Vellore Institute of TechnologyVellore632014India

Every day,more and more data is being produced by the Internet of Things(IoT)*** data differ in amount,diversity,veracity,and *** of latency,various types of data handling in cloud computing are not suitable for many time-sensitive *** users move from one site to another,mobility also adds to the *** placing computing close to IoT devices with mobility support,fog computing addresses these *** efficient Load Balancing Algorithm(LBA)improves user experience and Quality of Service(QoS).Classification of request(Cor)based resource Adaptive LBA is suggested in this *** technique clusters fog nodes using an efficient K-means clustering algorithm and then uses a Decision Tree approach to categorize the *** decision-making process for time-sensitive and delay-tolerable requests is facilitated by the classification of *** does the operation based on these *** MobFogSim simulation program is utilized to assess how well the algorithm with mobility features *** outcome demonstrates that the LBA algorithm’s performance enhances the total system performance,which was attained by(90.8%).Using LBA,several metrics may be examined,including response Time(rT),delay(d),Energy Consumption(EC),and *** the on-demand provisioning of necessary resources to IoT users,our suggested LBA assures effective resource usage.

关键词： Mobility load balancing classification clustering IoT devices

Semiotic Proposition for Understanding Semantics Within Construction Documents

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Tsinghua Science and Technology 2008年第S1期13卷 192-198页

作者： Ivan Mutis r.ja r. A. Issa Department of Construction Science Texas A & M University College Station School of Building Construction University of Florida

This research develops a methodology that helps actors in understanding information generated from multiple construction participants. It employs semiotic theory which approaches the interpreter’s understanding of the role of the representations used in construction documents to communicate meanings to other participants. This strategy is designed to aid the interpreters’ comprehension of the use of symbols. The symbols within the construction documents are forms of representations that take the form of a visual representation of a set of markers that describe a formal language, and of markers that are used to represent natural language as well as other possible representations, such as a collection of codes for indexing documents. Symbols are replaced by signs under the semiotics theory. The use of symbols as signs is this study’s recognition of the relationship between the interpreter and the material quality of symbols. The semiotic analysis is an examination of the compromise between the meanings of a representation per se and the concept associated with the understanding of such representation.

关键词： semiotics construction representation semantic forms ontology categories

Carbon Monoxide as C1 Building Block in Fine Chemical Synthesis

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Chinese journal of Chemistry 2024年第2期42卷 199-221页

作者： rui M.B.Carrilho Mario j.F.Calvete Gabor Mikle Laszlo Kollar Mariette M.Pereira University of Coimbra Coimbra Chemistry CentreDepartment of ChemistryRua Larga3004-535 CoimbraPortugal Department of General and Inorganic Chemistry and ELKH-PTE research Groupfor Selective Chemical Syntheses University of PecsIfjusag utja 6H-7624 PecsHungary

Carbon monoxide(CO)has become one of the most relevant and versatile renewable C1 building blocks for chemical synthesis,especially in the fine chemicals industry,due to the development of efficient and selective catalysts for its *** this review,we present a comprehensive critical analysis of the last 10 years literature on the use of CO as a renewable feedstock for fine chemicals *** review is organized by type of catalytic reaction,namely alkene and alkyne carbonylation,hydroformylation,carbonylation of aryl halides,carbonylative cross-coupling and C-H *** examples of the synthesis of relevant building blocks and/or known pharmaceuticals are *** is placed on examples of utilizing CO as the C1 building block in one or more catalytic *** catalyst used and the reaction conditions are consistently presented throughout all of the examples.

关键词： Carbon monoxide Fine chemicals Carbonylation Hydroformylation C-H functionalization

A Novel Forgery Detection in Image Frames of the Videos Using Enhanced Convolutional Neural Network in Face Images

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Computer Modeling in Engineering & Sciences 2020年第11期125卷 625-645页

作者： S.Velliangiri j.Premalatha CMr Institute of Technology Hyderabad501401India Kongu Engineering College Erode638052India

Different devices in the recent era generated a vast amount of digital ***,it has been seen in recent years that people are forging the video to use it as proof of evidence in the court of *** kinds of researches on forensic detection have been presented,and it provides less *** paper proposed a novel forgery detection technique in image frames of the videos using enhanced Convolutional Neural Network(CNN).In the initial stage,the input video is taken as of the dataset and then converts the videos into image ***,perform pre-sampling using the Adaptive rood Pattern Search(ArPS)algorithm intended for reducing the useless *** the next stage,perform preprocessing for enhancing the image ***,face detection is done as of the image utilizing the Viola-jones ***,the improved Crow Search Algorithm(ICSA)has been used to select the extorted features and inputted to the Enhanced Convolutional Neural Network(ECNN)classifier for detecting the forged image *** experimental outcome of the proposed system has achieved 97.21%accuracy compared to other existing methods.

关键词： Adaptive rood Pattern Search(ArPS) Improved Crow Search Algorithm(ICSA) Enhanced Convolutional Neural Network(ECNN) Viola jones algorithm Speeded Up robust Feature(SUrF)