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Deep Learning-Based FOPID Controller for Cascaded DC-DC Converters

Computer systems science & Engineering 2023年第8期46卷 1503-1519页

作者： s.Hema Y.sukhi Department of EEE Vel Tech Rangarajan Dr.Sagunthala R&D Institute of Science and TechnologyChennai600062India Department of EEE R.M.K.Engineering CollegeKavaraipettaiChennai601206India

smart grids and their technologies transform the traditional electric grids to assure safe,secure,cost-effective,and reliable power ***-linear phenomena in power systems,such as voltage collapse and oscillatory phenomena,can be investigated by chaos ***,renewable energy resources,such as wind turbines,and solar photovoltaic(PV)arrays,have been widely used for electric power *** design of the controller for the direct Current(DC)converter in a PV system is performed based on the linearized model at an appropriate operating ***,these operating points are everchanging in a PV system,and the design of the controller is usually accomplished based on a low irradiance *** study designs a fractional-order proportional-integrated-derivative(FOPID)controller using deep learning(DL)with quasi-oppositional Archimedes Optimization algorithm(FOPID-QOAOA)for cascaded DC-DC converters in micro-grid *** presented FOPIDQOAOA model is designed to enhance the overall efficiency of the cascaded DC-DC boost *** addition,the proposed model develops a FOPID controller using a stacked sparse autoencoder(ssAE)model to regulate the converter output *** tune the hyper-parameters related to the ssAE model,the QOAOA is derived by the including of the quasi-oppositional based learning(QOBL)with traditional ***,an objective function with the including of the integral of time multiplied by squared error(ITsE)is considered in this *** validating the efficiency of the FOPID-QOAOA method,a sequence of simulations was performed under distinct aspects.A comparative study on cascaded buck and boost converters is carried out to authenticate the effectiveness and performance of the designed techniques.

关键词： Micro-grid deep learning archimedes optimization algorithm FOPID controller objective function

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Milestones In China's space Progress

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Aerospace China 2006年第4期7卷 2-4页

作者： sunny.s

The first launch site in China, Jiuquan satellite Launch Center, was constructed in April 1958. Xichang satellite Launch Center and Taiyuan satellite Launch Center were later built.

关键词：中国航天工业酒泉发射中心西昌发射中心卫星

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Role of frequency band integration in sharpening frequency tunings of the inferior colliculus neurons in the big brown bat, Eptesicus fuscus

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Chinese science Bulletin 2004年第10期49卷 1026-1031页

作者： WUFeijian CHENQicai JENPhilipH.s. sHENJunxian schoolofLifesciences.CentralChinaNormalUniversity.Wuhan430079.China DivisionofBiologicalsciences UniversityofMissouri-Columbia.MO65211.USA LaboratoryofVisualInformationProcessing InstituteofBiophysicsChineseAcademyofSciencesBeijing100101China

By means of a particular two-tone stimulationparadigm in combination of using a pair of electrodes forsimultaneously recording from two inferior colliculus (IC)neurons, the current in vivo study is undertaken to explorethe role of frequency band integration (FBI) in sharpening offrequency tuning in the big brown bat, Eptesicus *** major results are found: (1) The paired neurons cor-related to FBI are located not only within the same frequencyfilter bandwidth (FFB), but also across different FFBs. Therelations of their frequency tuning curves (FTCs) are mainlyof two types: the flank-overlapped and overlaid patterns. (2)Although the sharpness of FTCs between paired neurons ismutual, the sharpening efficiency of neurons located withinthe same FFB is higher than that of neurons across FFBs,and the FTCs of neurons with the best frequencies (BF) of 20--30 kHz are most strongly sharpened. (3) The strength ofFBI is weak near the BF but gradually increased with fre-quencies away from the BF of sound stimuli. This suggeststhat the dynamical FBI of the IC neurons located within and across the FFBs might be involved in the formation of func-tional FFB structures.

关键词：频带综合频率调节下丘神经蝙蝠平滑

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Predictive-Analysis-based Machine Learning Model for Fraud Detection with Boosting Classifiers

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Computer systems science & Engineering 2023年第4期45卷 231-245页

作者： M.Valavan s.Rita Department of statistics Periyar UniversitySalemTamilnaduIndia

Fraud detection for credit/debit card,loan defaulters and similar types is achievable with the assistance of Machine Learning(ML)algorithms as they are well capable of learning from previous fraud trends or historical data and spot them in current or future *** cases are scant in the comparison of non-fraudulent observations,almost in all the *** such cases detecting fraudulent transaction are quite *** most effective way to prevent loan default is to identify non-performing loans as soon as *** learning algorithms are coming into sight as adept at handling such data with enough computing *** this paper,the rendering of different machine learning algorithms such as Decision Tree,Random Forest,linear regression,and Gradient Boosting method are compared for detection and prediction of fraud cases using loan fraudulent *** model accuracy metric have been performed with confusion matrix and calculation of accuracy,precision,recall and F-1 score along with Receiver Operating Characteristic(ROC)curves.

关键词： Random forest decision tree logistic regression machine Learning gradient boosting method confusion matrix

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ELECTRONIC sTATEs AND HYDROGEN EMBRITTLEMENTIN TRANsITION METALs

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Acta Metallurgica sinica(English Letters) 1997年第3期10卷 271-275页

作者： s. Tanimori and s. shimamura(Department of Applied science, Faculty of Engineering, Yamaguchi University, Ube 755, Japan) Yamaguchi Univ Ube Japan

An electronic approach to the mechanism of hydrogen embrittlement in metals is pre-sented and discussed. some problems of the mechanism of hydrogen embrittlement are pointed out from an electronic point of view. Electronic structure calculations in a periodically cleaved or slipped lattice are developed in orker to identofy deformation-sensitive electronic states in the absence of hydrogen. The calculational results are given and discussed for a trunsition metal, Pd. Electronic structure calculations in the presence of hydrogen are outlined and hydrogen embrittlement in transition metals is discussed in terms of electronic states.

关键词： hydrogen embrittlement transition metal electronic structure,electron energy

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Demand and deterioration of items per unit time inventory models with shortages using genetic algorithm

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Journal of Management Analytics 2021年第3期8卷 502-529页

作者： sandesh s.Kurade Raosaheb Latpate Department of statistics MES Abasaheb Garware CollegePuneIndia Department of statistics Savitribai Phule Pune UniversityPuneIndia

Inventory management is a crucial task for any *** this paper,we have determined the optimum profit and economical order quantity under variety of assumptions such as the demand per unit time follows either a log-normal or a generalized exponential *** relationship between these two distributions,the proposed models become *** modeling,we consider the expected demand and variable *** these probabilistic assumptions,inventory models are developed for situations like no,complete and partial *** methods are unable to solve these situations under these *** genetic algorithm is proposed to solve these *** order quantity is obtained for maximizing the total profit for the respective demand per unit time distributions.A real-world case study of a deteriorated product is presented to illustrate the procedures of the proposed inventory models.

关键词： backlogging demand per unit time generalized exponential distribution genetic algorithm log-normal distribution variable deterioration

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Photoelectrocatrocatalytic hydrolysis of starch by using sprayed ZnO thin films

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Journal of semiconductors 2013年第5期34卷 13-15页

作者： R.T.sapkal s.s.shinde K.Y.Rajpure C.H.Bhosale Electrochemical Materials Laboratory Department of PhysicsShivaji UniversityKolhapur-416004India

： Thin films of zinc oxide have been deposited onto glass/FTO substrates at optimized 400 ℃ by using a chemical spray pyrolysis technique. Deposited films are characterized for their structural, morphological optical and photocatalytic activity by using XRD, an sEM, a UV-vis spectrophotometer, and a PEC single-cell reactor. Films are polycrystalline and have a hexagonal （wurtzite） crystal structure with c-axis （002） orientation growth perpendicular to the substrate surface. The observed direct band gap is about 3.22 eV for typical films prepared at 400 ℃. The photocatalytic activity of starch with a ZnO photocatalyst has been studied by using a novel photoelectrocatalytic process.

关键词： photoelectrocatalysis hydrolysis starch DNsA

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Comparison of linear and nonlinear aerodynamic parameter estimation approaches for an unmanned aerial vehicle using unscented Kalman filter

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Journal of Beijing Institute of Technology 2011年第3期20卷 339-344页

作者：李蒙刘莉 s.M.VEREs school of Aerospace Engineering Beijing Institute of Technology school of Engineering sciences University of Southampton

Aerodynamic parameter estimation provides an effective way for aerospace system modeling using measured data from flight tests, especially for the purpose of developing elaborate simulation environments and designing control systems of unmanned aerial vehicle （UAV） with short design cycles and reduced cost. However, parameter identification of airplane dynamics by nonlinear mod- els is complicated because of the noisy and biased sensor measurements. Using linear models for system identification is an alternative way if the fidelity can be guaranteed, as control design procedures are better established in linear systems. This paper considers the application and comparison of linear as well as nonlinear aerodynamic parameter estimation approaches of an UAV using unscented Kalman filter （UKF）. It also highlights the degree of deterioration of the linear model in the UKF identification process. The results show that both the linear and nonlinear methodologies can accurately estimate the control system design. Furthermore, considering loss of accuracy to be negligible, the linear model can be employed for control design of the UAV as presented here.

关键词： unmanned aerial vehicle aerodynamic parameter estimation unscented Kalman filter

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Performance effects of feed-borne Fusarium mycotoxins on broiler chickens: Influences of timing and duration of exposure

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Animal Nutrition 2019年第1期5卷 32-40页

作者： Anhao Wang Natacha s.Hogan Department of Animal and Poultry science College of Agriculture and Bioresources University of Saskatchewan Toxicology Centre University of Saskatchewan

In commercial practice, broiler chickens may be exposed to Fusarium mycotoxins either during specific growth stages or throughout the entire production cycle. A 34-day feeding trial was conducted to identify sensitive periods for mycotoxin effects during the growth cycle of broiler chickens. A total of 420 newly-hatched Ross 308 male broilers were randomly assigned to 60 cages with 7 birds/cage. sources of clean wheat(sarium-contaminated wheat(11.4 mg/kg DON)were used to formulate the starter diets(0.41 and 6.62 mg/kg DON) provided from 1 to 21 d of age and the grower diets(0.54 and 7.90 mg/kg DON) provided from 22 to 34 d. Control and DON diets were provided to broilers according to treatments(control, DON 1 to 14 d, DON 15 to 21 d, DON 22 to 34 d and DON 1 to 34 d). Birds were monitored daily for morbidity or mortality. Broiler growth performance(body weight, average daily gain, average daily feed intake and feed to gain ratio) was measured *** of duodenum, jejunum and ileum were collected at 21 and 34 d and morphometric parameters(villus height, crypt depth, villus width, muscularis thickness and villi:crypt ratio) were measured. Birds fed the DON starter diet during the first 14 d did not exhibit any changes in growth performance;however, growth performance was suppressed in birds fed DON-contaminated diets during the grower period(22 to 34 d). At 34 d, birds that received the DON grower diet(DON 22 to 34 d and DON 1 to 34 d)were lighter(1,433 vs. 1,695 g) than birds fed the control diet. Feed to gain ratio was higher in birds fed the DON grower diet from 22 to 28 d(1.77 vs. 1.56) and 28 to 34 d(2.24 vs. 1.85) compared with corresponding controls. These results suggest that providing older broiler chicks(22 to 34 d) feed contaminated with Fusarium mycotoxins(specifically DON) may result in production losses. Histopathological analysis of the ileum region revealed that birds provided the DON diets throughout the

关键词： Deoxynivalenol Chicken sensitive period Feed contamination Intestine

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A Hybrid Deep Learning Model for Real Time Hand Gestures Recognition

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Intelligent Automation & soft Computing 2023年第4期36卷 1105-1119页

作者： s.Gnanapriya K.Rahimunnisa Department of Information Technology Easwari Engineering CollegeChennai600089India Department of Electronics and Communication Engineering Easwari Engineering CollegeChennai600089India

The performance of Hand Gesture Recognition(HGR)depends on the hand *** helps in the recognition of hand gestures for more accuracy and improves the overall performance compared to other existing deep neural *** crucial segmentation task is extremely complicated because of the background complexity,variation in illumination *** proposed mod-iﬁed UNET and ensemble model of Convolutional Neural Networks(CNN)undergoes a two stage process and results in proper hand gesture ***ﬁrst stage is segmenting the regions of the hand and the second stage is ges-ture identiﬁ*** modiﬁed UNET segmentation model is trained using resized images to generate a cost effective semantic segmentation *** Central Processing Unit(CPU)utilization and training time taken by these models with respect to three public benchmark datasets are also *** is carried out with the ensemble learning model consisting of EfﬁcientNet B0,Efﬁ-cientNet B4 and ResNet *** on NUs hand posture dataset-II,OUHANDs and HGRI benchmark datasets show that our architecture achieves a maximum recognition rate of 99.07%through semantic segmentation and the Ensemble learning model.

关键词： Convolutional neural networks EfﬁcientNet ensemble learning ResNet semantic segmentation UNet

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