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Faster Region Convolutional Neural Network(FRCNN)Based Facial Emotion Recognition

Computers, Materials & Continua 2024年第5期79卷 2427-2448页

作者： j.sheril angel A.Diana Andrushia TMary Neebha Oussama Accouche Louai Saker N.Anand Department of Electronics and Communication Engineering Karunya Institute of Technology and SciencesCoimbatore641114India College of Engineering and Technology American University of the Middle EastEgaila54200Kuwait Department of Civil Engineering Karunya Institute of Technology and SciencesCoimbatore641114India

Facial emotion recognition(FER)has become a focal point of research due to its widespread applications,ranging from human-computer interaction to affective *** traditional FER techniques have relied on handcrafted features and classification models trained on image or video datasets,recent strides in artificial intelligence and deep learning(DL)have ushered in more sophisticated *** research aims to develop a FER system using a Faster Region Convolutional Neural Network(FRCNN)and design a specialized FRCNN architecture tailored for facial emotion recognition,leveraging its ability to capture spatial hierarchies within localized regions of facial *** proposed work enhances the accuracy and efficiency of facial emotion *** proposed work comprises twomajor key components:Inception V3-based feature extraction and FRCNN-based emotion *** experimentation on Kaggle datasets validates the effectiveness of the proposed strategy,showcasing the FRCNN approach’s resilience and accuracy in identifying and categorizing facial *** model’s overall performance metrics are compelling,with an accuracy of 98.4%,precision of 97.2%,and recall of 96.31%.This work introduces a perceptive deep learning-based FER method,contributing to the evolving landscape of emotion recognition *** high accuracy and resilience demonstrated by the FRCNN approach underscore its potential for real-world *** research advances the field of FER and presents a compelling case for the practicality and efficacy of deep learning models in automating the understanding of facial emotions.

关键词： Facial emotions FRCNN deep learning emotion recognition face CNN

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Design and Robust Performance Evaluation of a Fractional Order PID Controller Applied to a DC Motor

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IEEE/CAA journal of Automatica Sinica 2017年第2期4卷 304-314页

作者： j.Viola L.angel j.M.Sebastian Universidad Pontificia Bolivariana Universidad Politecnica de Madrid Centre for Automation and Robotics (CAR) UPM-CSIC

This paper proposes a methodology for the quantitative robustness evaluation of PID controllers employed in a DC motor. The robustness analysis is performed employing a 2~3 factorial experimental design for a fractional order proportional integral and derivative controller(FOPID), integer order proportional integral and derivative controller(IOPID)and the Skogestad internal model control controller(SIMC). The factors assumed in experiment are the presence of random noise,external disturbances in the system input and variable load. As output variables, the experimental design employs the system step response and the controller action. Practical implementation of FOPID and IOPID controllers uses the MATLAB stateflow toolbox and a NI data acquisition system. Results of the robustness analysis show that the FOPID controller has a better performance and robust stability against the experiment factors.

关键词： Factorial experimental design fractional-order PID controller robustness analysis SIMC PID controller

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Software Project Effort Estimation Based on Multiple Parametric Models Generated Through Data Clustering

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journal of Computer Science & Technology 2007年第3期22卷 371-378页

作者： juan j.Cuadrado Gallego Daniel Rodríguez Miguel angel Sicilia Miguel Garre Rubio angel García Crespo Department of Computer Science The University of Alcalá AlcaláSpain Department of Computer Science Carlos Ⅲ University.Madrid Spain

Parametric software effort estimation models usually consists of only a single mathematical relationship. With the advent of software repositories containing data from heterogeneous projects, these types of models suffer from poor adjustment and predictive accuracy. One possible way to alleviate this problem is the use of a set of mathematical equations obtained through dividing of the historical project datasets according to different parameters into subdatasets called partitions. In turn, partitions are divided into clusters that serve as a tool for more accurate models. In this paper, we describe the process, tool and results of such approach through a case study using a publicly available repository, ISBSG. Results suggest the adequacy of the technique as an extension of existing single-expression models without making the estimation process much more complex that uses a single estimation model. A tool to support the process is also presented. Keywords software engineering, software measurement, effort estimation, clustering

关键词： software engineering software measurement effort estimation clustering

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Optimal control of natural resources in mining industry

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International journal of Mining Science and Technology 2015年第2期25卷 193-198页

作者： Petrov Nikolay Tanev angel Electrical Engineering Electronics and AutomationTechnical University-Sofia Faculty of Mathematics and Informatics Sofia University

The paper focuses on the optimal control of natural resources in mining industry. The purpose is to pro- pose an optimal extraction series of these resources during the lifetime of the Mine＇s maintenance. Fol- lowing the proposed optimal control model, a sensitivity analysis has been performed that includes the interest rate impact on the optimal solution. This study shows that the increasing of the interest rate sti- mulates faster extraction of the resources. The discounting factor induces that the resource has to be extracted faster hut this effect is counterbalanced by the diminishing returns of the annual cash flow. At higher parameters of ＂alpha＂ close to one of the power function about 80% from the whole resource will be extracted during the first 4 years of object/mine maintenance. An existence of unique positive root with respect to return of investment has been proposed and proved by two ways： by the ＂method of chords＂ and by using specialized software.

关键词： Optimal control Natural resources Interest rate Sensitivity analysis Method of chords

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Guest Editorial: Power Systems with Increasing Renewable Penetration: Market, Operations, Planning and Regulation

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journal of Modern Power Systems and Clean Energy 2021年第4期9卷 I0001-I0002页

作者： Antonio j.Conejo jianhui Wang angel Arcos Vargas Ohio State University ColumbusOhioUSA Southern Methodist University DallasTexasUSA University of Seville SevilleSpain

Our goal in putting together this special section is to contribute to the conversation on control,operations,planning and regulation of power systems with increasing renewable *** a conversation will hopefully involve regulators,operators,producers,consumers,and the research *** hope that this special section will spur innovative ideas that will contribute to ensuring a secure,efficient,and environmentally friendly supply of electrical ener-gy,and to eventually achieve a carbon-free electricity *** special section includes 15 research articles on control,operations,regulation,planning,forecasting,and estimation of power systems with increasing renewable penetration.

关键词： Market operations eventually

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First-principle calculations of magnetic properties of Ho_(6)(Fe,Mn)Bi_(2)compounds

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Rare Metals 2024年第11期43卷 6034-6047页

作者： angel j.Garcia-Adeva Estibaliz Apinaniz Aritz Herrero Ivan R.Aseguinolaza Alberto Oleaga Departamento de Fisica Aplicada Escuela de Ingenieria de V itoria-GasteizUniversidad del Pais V asco UPV/EHU01006 V itoria-GasteizSpain Departamento de Fisica Aplicada Escuela de Ingenieria de BilbaoUniversidad del Pais V asco UPV/EHU48013 BilbaoSpain

The magnetic properties of Ho_(6)MnBi_(2)and Ho_(6)FeBi_(2)crystals are investigated by means of density functional *** materials are currently an active subject of research in the context of magnetic refrigeration applications since they exhibit a remarkable magnetocaloric *** this work,the equation of state,density of states and magnetic moments are calculated and compared with previous experimental results for these ***,the Curie temperatures for the paramagnetic to ferromagnetic phase transition observed in these systems are calculated from first *** the calculated quantities are in reasonable agreement with experimental data,which suggests that density functional theory could provide a reliable framework to theoretically investigate the magnetic properties of intermetallic ternary compounds.

关键词： Intermetallic compounds Rare earths Magnetic properties Magnetocaloric effect Density functional theory Heisenberg model

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Oryza CLIMtools:A genome–environment association resource reveals adaptive roles for heterotrimeric G proteins in the regulation of rice agronomic traits

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Plant Communications 2024年第4期5卷 145-165页

作者： angel Ferrero-Serrano David Chakravorty Kobie j.Kirven Sarah M.Assmann Biology Department Pennsylvania State University208 Mueller LaboratoryUniversity ParkPA 16802USA Intercollege Graduate Degree Program in Bioinformatics and Genomics Pennsylvania State University208 Mueller LaboratoryUniversity ParkPA 16802USA

Modern crop varieties display a degree of mismatch between their current distributions and the suitability of the local climate for their *** address this issue,we present Oryza CLIMtools(https://***/CLIMtools/oryza_v1.0/),thefirst resource for pan-genome prediction of climate-associated genetic variants in a crop *** CLIMtools consists of interactive web-based databases that enable the user to(1)explore the local environments of traditional rice varieties(landraces)in South-East Asia and(2)investigate the environment by genome associations for 658 Indica and 283 japonica rice landrace accessions collected from georeferenced local environments and included in the 3K Rice Ge-nomes *** demonstrate the value of these resources by identifying an interplay betweenflowering time and temperature in the local environment that is facilitated by adaptive natural variation in OsHD2 and disrupted by a natural variant in *** quantitative trait locus analysis has suggested the impor-tance of heterotrimeric G proteins in the control of agronomic ***,we analyzed the climate associations of natural variants in the different heterotrimeric G protein *** identified a coordi-nated role of G proteins in adaptation to the prevailing potential evapotranspiration gradient and revealed their regulation of key agronomic traits,including plant height and seed and panicle *** conclude by highlighting the prospect of targeting heterotrimeric G proteins to produce climate-resilient crops.

关键词： Oryza sativa rice G by E adaptation flowering time GWAS OsHD2 OsSOC1 heterotrimeric G pro-tein OsRGA1 d1 OsGS3 OsDEP1 OsGGC2

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Fuzzy C-means Rule Generation for Fuzzy Entry Temperature Prediction in a Hot Strip Mill

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journal of Iron and Steel Research International 2016年第2期23卷 116-123页

作者： jose angel BARRIOS Cesar VILLANUEVA Alberto CAVAZOS Rafael COLAS Mechanical and Electrical Engineering Faculty Autonomous University of Nuevo LeonSan Nicolas de los Garza 66451Nuevo LeonMexico Hot Rolling Department Ternium ChurubuscoMonterrey 64000Nuevo LeonMexico

Variable estimation for finishing mill set-up in hot rolling is greatly affected by measurement uncertainties, variations in the incoming bar conditions and product changes. The fuzzy C-means algorithm was evaluated for rule base generation for fuzzy and fuzzy grey-box temperature estimation. Experimental data were collected from a real- life mill and three different sets were randomly drawn. The first set was used for rule-generation, the second set was used for training those systems with learning capabilities, while the third one was used for validation. The perform- ance of the developed systems was evaluated by five performance measures applied over the prediction error with the validation set and was compared with that of the empirical rule-base fuzzy systems and the physical model used in plant. The results show that the fuzzy C-means generated rule-bases improve temperature estimation; however, the best results are obtained when fuzzy C-means algorithm, grey-box modeling and learning functions are combined. Application of fuzzy C-means rule generation brings improvement on performance of up to 72%.

关键词： gray-box modeling ANFIS hot rolling temperature estimation fuzzy C-means rule base generation

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Application of wave equation theory to improve dynamic cone penetration test for shallow soil characterisation

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journal of Rock Mechanics and Geotechnical Engineering 2022年第1期14卷 289-302页

作者： Miguel angel Benz Navarrete Pierre Breul Roland Gourvès Sol Solution Géotechnique Réseaux ZA des Portes de Riom Nord23 Avenue Georges GershwinRiom Cedex63204France UniversitéClermont Auvergne Institut PascalUMR CNRS 6602Clermont-Ferrand63000France Polytech Clermont-Ferrand Campus des Cézeaux 2 Avenue Blaise PascalAubière Cedex63178France

Among the geotechnical in situ tests,the dynamic penetration test(DPT)is commonly used around the ***,DPT remains a rough technique and provides only one failure parameter:blow count or cone *** paper presents an improvement of the dynamic cone penetration test(DCPT)for soil characterisation based on the wave equation *** on an instrumented lightweight dynamic penetrometer driving with variable energy,the main process of the test involves the separation and reconstruction of the waves propagating in the rods after each blow and provides a dynamic cone load-penetration(DCLT)*** analytical methodology is used to analyse this curve and to estimate additional strength and deformation parameters of the soil:dynamic and pseudo-static cone resistances,deformation modulus and wave *** carried out in the laboratory on different specimens(wood,concrete,sand and clay)in an experimental sand pit and in the field demonstrated that the resulting DCLT curve is reproducible,sensitive and reliable to the test conditions(rod length,driving energy,etc.)as well as to the soil properties(nature,density,etc.).Obtained results also showed that the method based on shock polar analysis makes it possible to evaluate mechanical impedance and wave velocity of soils,as demonstrated by the comparisons with cone penetration test(CPT)and shear wave velocity measurements made in the *** technique improves the method and interpretation of DPT and provides reliable data for shallow foundation design.

关键词： In situ test Dynamic cone penetrometer P.A.N.D.A. Wave equation Wave decoupling Dynamic cone load-penetration(DCLT)curve

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Thermo-electro-mechanical microstructural interdependences in conductive thermoplastics

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npj Computational Materials 2023年第1期9卷 955-965页

作者： javier Crespo-Miguel Sergio Lucarini angel Arias Daniel Garcia-Gonzalez Department of Continuum Mechanics and Structural Analysis Universidad Carlos III de MadridAvda.de la Universidad 3028911 LeganésMadridSpain Department of Civil and Environmental Engineering Imperial College of LondonSouth Kensington CampusLondon SW72AZUK

Additive manufacturing has enabled the design of thermoplastic components that provide structural support,electrical conductivity and heat generation modulated by mechanical *** mechanisms and interplays that govern the material response at the microstructural level remain,however,***,we develop an experimental method to characterise conductive filaments from a combined mechanical,electrical and thermal *** approach is used to unravel exciting material interplays of conductive polylactic *** overcome experimental limitations that prevent a complete microstructural analysis of the problem,we develop a full-field homogenisation framework and implement it for finite *** framework accounts for viscoplasticity,electrical and thermal conduction,convection and heat generation via joule effect,as well as for the interdependences between *** experimental validation,the framework is applied to virtually optimise fabrication requirements to obtain desired properties in final products,i.e.,stiffer products,filaments with higher conductivities or with better sensing capabilities.

关键词： conductive electrical overcome

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