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Bio-Design and Manufacturing 2022年第4期5卷 808-815页

作者： J.M.Chacón P.J.Núñez M.A.Caminero E.García-Plaza J.Vallejo M.Blanco Escuela técnica Superior de Ingeniería Industrial Universidad de Castilla-La ManchaAvdaCamilo JoséCela213071 Ciudad RealSpain Protresde Ingeniería y Soluciones C/Solana 60nave 313005 Ciudad RealSpain

Biomedical fracture fixation implants have complex sculptured geometries to adapt perfectly to fractured bones,making them difficult and expensive to manufacture with conventional machining methods. Fused filament fabrication(FFF) is a very popular Additive Manufacturing technology that simplifies the manufacture of parts with complex geometries, making it ideal for the manufacture of customized medical implants.

关键词： steel fracture fused

Recognition of Human Actions through Speech or Voice Using Machine Learning techniques

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Computers, Materials & Continua 2023年第11期77卷 1873-1891页

作者： Oscar Peña-Cáceres Henry Silva-Marchan Manuela Albert Miriam Gil Professional School of Systems Engineering Universidad César VallejoPiura20009Perú Escola tècnica Superior d’Enginyeria Departament d’InformàticaUniversitat de ValènciaBurjassotValencia46100Spain Department of Mathematics Statistics and InformaticsUniversidad Nacional de TumbesTumbes24000Perú Valencian Research Institute for Artificial Intelligence Universitat Politècnica de ValènciaValencia46022Spain

the development of artificial intelligence(AI)and smart home technologies has driven the need for speech recognition-based *** demand stems from the quest for more intuitive and natural interaction between users and smart devices in their *** recognition allows users to control devices and perform everyday actions through spoken commands,eliminating the need for physical interfaces or touch screens and enabling specific tasks such as turning on or off the light,heating,or lowering the *** purpose of this study is to develop a speech-based classification model for recognizing human actions in the smart *** seeks to demonstrate the effectiveness and feasibility of using machine learning techniques in predicting categories,subcategories,and actions from sentences.A dataset labeled with relevant information about categories,subcategories,and actions related to human actions in the smart home is *** methodology uses machine learning techniques implemented in Python,extracting features using CountVectorizer to convert sentences into numerical *** results show that the classification model is able to accurately predict categories,subcategories,and actions based on sentences,with 82.99%accuracy for category,76.19%accuracy for subcategory,and 90.28%accuracy for *** study concludes that using machine learning techniques is effective for recognizing and classifying human actions in the smart home,supporting its feasibility in various scenarios and opening new possibilities for advanced natural language processing systems in the field of AI and smart homes.

关键词： AI machine learning smart home human action recognition

Extremal Coalitions for Influence Games through Swarm Intelligence-Based Methods

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Computers, Materials & Continua 2022年第3期70卷 6305-6321页

作者： Fabián Riquelme Rodrigo Olivares Francisco Munoz Xavier Molinero Maria Serna Escuela de Ingeniería Informática Universidad de ValparaísoValparaísoChile Computer Science Department Universitat Politècnica de CatalunyaBarcelonaSpain Mathematics Department Universitat Politècnica de CatalunyaTerrassaSpain

An influence game is a simple game represented over an influence graph(i.e.,a labeled,weighted graph)on which the influence spread phenomenon is *** games allow applying different properties and parameters coming from cooperative game theory to the contexts of social network analysis,decision-systems,voting systems,and collective *** exact calculation of several of these properties and parameters is computationally hard,even for a small number of *** examples of these parameters are the length and the width of a *** length of a game is the size of its smaller winning coalition,while the width of a game is the size of its larger losing *** parameters are relevant to know the levels of difficulty in reaching agreements in collective decision-making *** the above,new bio-inspired metaheuristic algorithms have recently been developed to solve the NP-hard influence maximization problem in an efficient and approximate way,being able to find small winning coalitions that maximize the influence spread within an influence *** this article,we apply some variations of this solution to find extreme winning and losing coalitions,and thus efficient approximate solutions for the length and the width of influence *** a case study,we consider two real social networks,one formed by the 58 members of the European Union Council under nice voting rules,and the other formed by the 705 members of the European Parliament,connected by political *** are promising and show that it is feasible to generate approximate solutions for the length and width parameters of influence games,in reduced solving time.

关键词： Influence game influence spread collective behavior swarm intelligence bio-inspired computing

Laser scaling for generation of megatesla magnetic fields by microtube implosions

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High Power Laser Science and Engineering 2021年第4期9卷 103-111页

作者： D.Shokov M.Murakami J.J.Honrubia Graduate School of Engineering Osaka UniversityOsaka 565-0875Japan Institute of Laser Engineering Osaka UniversityOsaka 565-0871Japan EtSI Aeronáutica y del Espacio Universidad Politécnica de Madrid28040 MadridSpain

Microtube implosions are a novel scheme to generate ultrahigh magnetic fields of the megatesla *** implosions are driven by ultraintense and ultrashort laser *** two-and three-dimensional particle simulations where megatesla-order magnetic fields can be achieved,we demonstrate scaling and criteria in terms of laser parameters,such as laser intensity and laser energy,to facilitate practical experiments toward the realization of extreme physical conditions,which have yet to be realized in *** implosions should provide a new platform for studies in fundamental and applied physics relevant to ultrahigh magnetic fields.

关键词： microtube implosion megatesla magnetic field ultraintense laser

Rock mass structural recognition from drill monitoring technology in underground mining using discontinuity index and machine learning techniques

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International Journal of Mining Science and technology 2023年第5期33卷 555-571页

作者： Alberto Fernández JoséA.Sanchidrián Pablo Segarra Santiago Gómez Enming Li Rafael Navarro Universidad Politécnica de Madrid–EtSI Minas y Energía Spain Universidad de Salamanca–GIR Charrock Spain

A procedure to recognize individual discontinuities in rock mass from measurement while drilling(MWD)technology is developed,using the binary pattern of structural rock characteristics obtained from in-hole images for *** from two underground operations with different drilling technology and different rock mass characteristics are considered,which generalizes the application of the methodology to different sites and ensures the full operational integration of MWD data *** approaches are followed for site-specific structural model building:a discontinuity index(DI)built from variations in MWD parameters,and a machine learning(ML)classifier as function of the drilling parameters and their *** prediction ability of the models is quantitatively assessed as the rate of recognition of discontinuities observed in borehole *** between the parameters involved in the models for each site,and differences in their weights,highlight the site-dependence of the resulting *** ML approach offers better performance than the classical DI,with recognition rates in the range 89%to 96%.However,the simpler DI still yields fairly accurate results,with recognition rates 70%to 90%.these results validate the adaptive MWD-based methodology as an engineering solution to predict rock structural condition in underground mining operations.

关键词： Drill monitoring technology Rock mass characterization Underground mining Similarity metrics of binary vectors Structural rock factor Machine learning

Probabilistic Delay Fault Model for DVFS Circuits

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tsinghua Science and technology 2011年第4期16卷 399-407页

作者：雷庭孙义和 Joan Figueras Institute of Microelectronics Tsinghua University Department of Electronic Engineering Universitat Politècnica de Catalunya

Decreasing the power supply voltage in dynamic voltage frequency scaling to save power con- sumption may introduce extra delays in CMOS circuits, which may cause errors. this paper presents the probabilistic delay fault model （PDFM）, which describes the probability of an error occurring as a function of the power supply voltage and the clock period in synchronous CMOS circuits. In a wide range of applica- tions （graphic, video, digital filtering, etc.）, errors occurring with low probability and not remaining for a long time are acceptable. For combinational circuits which have long critical paths with low probability of excita- tion, a performance increase is achieved with a certain rate of errors determined by the PDFM compared with the traditional design which considers the worst case. the PDFM applied to array multipliers and ripple carry adders shows the agreement of the predicted probabilities with simulated delay histograms to support the practicality of using the PDFM to select power supply voltage and clock period in dynamic voltage fre- quency scaling circuits with tolerable error rates.

关键词： dynamic voltage frequency scaling delay fault timing violation probability

Analysis of the factors affecting LiDAR DtM accuracy in a steep shrub area

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International Journal of Digital Earth 2011年第6期4卷 521-538页

作者： J.Estornell L.A.Ruiz B.Vela´zquez-Martı´ t.Hermosilla Departamento de Ingenierı´a Cartogra´fica Geodesia y Fotogrametrı´aUniversidad Polite´cnica de ValenciaCamino de Vera s/nValencia 46022Spain Departamento de Ingenierı´a Rural y Agroalimentaria Universidad Polite´cnica de ValenciaValenciaSpain

the creation of a quality Digital terrain Model(DtM)is essential for representing and analyzing the Earth in a digital *** continuous improvements in the acquisition and the potential of airborne Light Detection and Ranging(LiDAR)data are increasing the range of applications of this technique to the study of the Earth *** aim of this study was to determine the optimal parameters for calculating a DtM by using an iterative algorithm to select minimum elevations from LiDAR data in a steep mountain area with shrub *** parameters were:input data type,analysis window size,and height *** effects of slope,point density,and vegetation on DtM accuracy were also *** results showed that the lowest root mean square error(RMSE)was obtained with an analysis window size of 10 m,5 m,and 2.5 m,rasterized data as input data,and height thresholds equal to or greater than 1.5 *** parameters showed a RMSE of 0.19 *** terrain slope varied from 010%to 5060%,the RMSE increased by 0.11 *** RMSE decreased by 0.06 m when point density was increased from 4 to 8 points/m2,and increased by 0.05 m in dense vegetation areas.

关键词： LiDAR digital earth Digital terrain Model(DtM) filtering 3-D representation

Simplicial Indicator Kriging

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Journal of China University of Geosciences 2008年第1期19卷 65-71页

作者： R tolosana-Delgado V Pawlowsky-Glahn J J Egozcue Department of Sedimentology and Environmental Geology Georg-August-Universitt Gttingen D-37077 Gttingen Germany Department of Computer Science and Applied Mathematics University of Girona Girona Spain Department of Applied Mathematics III Universidad Politécnica de Catalunya Barcelona Spain

Indicator kriging （IK） is a spatial interpolation technique devised for estimating a conditional cumulative distribution function at an unsampled location. the result is a discrete approximation, and its corresponding estimated probability density function can be viewed as a composition in the simplex. this fact suggested a compositional approach to IK which, by construction, avoids all its standard drawbacks （negative predictions, not-ordered or larger than one）. Here, a simple algorithm to develop the procedure is presented.

关键词： Aitchison geometry compositional data disjunctive kriging log-ratio approach simplex.

Eventual Leader Election with Weak Assumptions on Initial Knowledge,Communication Reliability,and Synchrony

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Journal of Computer Science & technology 2010年第6期25卷 1267-1281页

作者： Antonio Fernndez Anta Ernesto Jimnez Michel Raynal Institute IMDEA Networks Avenida del Mar Mediterraneo EUI Universidad Politcnica de Madrid IRISA Universit de Rennes

this paper considers the eventual leader election problem in asynchronous message-passing systems where an arbitrary number t of processes can crash（t〈n,where n is the total number of processes）.It considers weak assumptions both on the initial knowledge of the processes and on the network *** precisely,initially,a process knows only its identity and the fact that the process identities are different and totally ordered（it knows neither n nor t）.two eventual leader election protocols and a lower bound are *** first protocol assumes that a process also knows a lower bound α on the number of processes that do not *** protocol requires the following behavioral properties from the underlying network：the graph made up of the correct processes and fair lossy links is strongly connected,and there is a correct process connected to（n〈f）-α other correct processes（where f is the actual number of crashes in the considered run） through eventually timely paths（paths made up of correct processes and eventually timely links）.this protocol is not communication-efficient in the sense that each correct process has to send messages *** second protocol is communication-efficient：after some time,only the final common leader has to send messages *** protocol does not require the processes to know α,but requires stronger properties from the underlying network：each pair of correct processes has to be connected by fair lossy links（one in each direction）,and there is a correct process whose n〈f-1 output links to the rest of correct processes have to be eventually timely.A matching lower bound result shows that any eventual leader election protocol must have runs with this number of eventually timely links,even if all processes know all the processes *** addition to being communication-efficient,the second protocol has another noteworthy efficiency property,namely,be the run finite or infinite,all the local variables and message fields have

关键词： eventually timely and fair lossy links eventual leader election failure detector omega leader oracle process initial knowledge

Functional traits:the pathways to riverine plant resistance in times of hydropeaking

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Ecological Processes 2023年第1期12卷 884-915页

作者： Alejandro Baladrón María Dolores Bejarano Isabel Boavida CERIS Civil Engineering Research and Innovation for SustainabilityInstituto Superior TécnicoUniversidade de LisboaAv.Rovisco Pais1049-001 LisbonPortugal Natural Resources Department Universidad Politécnica de Madrid(UPM)Calle JoséAntonio Novais1028040 MadridSpain

Hydropeaking,which refers to rising or falling discharges caused by the turning on or off of hydro-turbines to generate electricity,is a topic of growing interest due to its impact on fluvial *** date,most hydropeaking studies have focused on the impact of peak fluctuations on invertebrate and fish communities,but little attention has been paid to its impact on riverine plants and how functional traits may make them resistant to *** performed a review to assess how a set of 32 plant functional traits can be expressed in riverine plant species,and found evidence of how such expression affects their capacity to cope with common sources of hydropeaking disturbance(i.e.,inundation,fast water drawdown,and rapid water fluctuations linked to up-ramping and down-ramping hydropeaking operations).the information here presented can simplify the evaluation of impacts on riverine plant communities worldwide,as well as to detect suitable species to successfully restore rivers affected by hydropower production.

关键词： Drought Flooding Waterlogging Hydropeaking Plant trait Riverine vegetation

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