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Support Vector Machines for Regression: A Succinct Review of Large-Scale and Linear Programming Formulations

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International Journal of Intelligence Science 2013年第1期3卷 5-14页

作者： Pablo Rivas-Perea Juan Cota-Ruiz david garcia chaparro Jorge Arturo Perez Venzor Abel Quezada Carreón Jose Gerardo Rosiles Department of Computer Science School of Engineering & Computer Science Baylor University Waco USA Department of Electrical & Computer Engineering Autonomous University of Ciudad Juárez Ciudad Juárez México Rosiles Consulting El Paso USA

Support Vector-based learning methods are an important part of Computational Intelligence techniques. Recent efforts have been dealing with the problem of learning from very large datasets. This paper reviews the most commonly used formulations of support vector machines for regression (SVRs) aiming to emphasize its usability on large-scale applications. We review the general concept of support vector machines (SVMs), address the state-of-the-art on training methods SVMs, and explain the fundamental principle of SVRs. The most common learning methods for SVRs are introduced and linear programming-based SVR formulations are explained emphasizing its suitability for large-scale learning. Finally, this paper also discusses some open problems and current trends.

关键词： Support Vector Machines Support Vector Regression Linear Programming Support Vector Regression

Forecasting the Demand of Short-Term Electric Power Load with Large-Scale LP-SVR

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Smart Grid and Renewable Energy 2013年第6期4卷 449-457页

作者： Pablo Rivas-Perea Juan Cota-Ruiz david garcia chaparro Abel Quezada Carreón Francisco J. Enríquez Aguilera Jose-Gerardo Rosiles Department of Computer Science School of Engineering and Computer Science Baylor University Waco USA Department of Electrical and Computer Engineering Autonomous University of Ciudad Juárez (UACJ) Ciudad Juárez México Science Applica- tions International Corporation El Paso USA.

This research studies short-term electricity load prediction with a large-scalelinear programming support vector regression (LP-SVR) model. The LP-SVR is compared with other three non-linear regression models: Collobert’s SVR, Feed-Forward Neural Networks (FFNN), and Bagged Regression Trees (BRT). The four models are trained to predict hourly day-ahead loads given temperature predictions, holiday information and historical loads. The models are trained on-hourly data from the New England Power Pool (NEPOOL) region from 2004 to 2007 and tested on out-of-sample data from 2008. Experimental results indicate that the proposed LP-SVR method gives the smallest error when compared against the other approaches. The LP-SVR shows a mean absolute percent error of 1.58% while the FFNN approach has a 1.61%. Similarly, the FFNN method shows a 330 MWh (Megawatts-hour) mean absolute error, whereas the LP-SVR approach gives a 238 MWh mean absolute error. This is a significant difference in terms of the extra power that would need to be produced if FFNN was used. The proposed LP-SVR model can be utilized for predicting power loads to a very low error, and it is comparable to FFNN and over-performs other state of the art methods such as: Bagged Regression Trees, and Large-Scale SVRs.

关键词： Power Load Prediction Linear Programming Support Vector Regression Neural Networks for Regression Bagged Regression Trees

CECRE:Supervision and Control of Spanish Renewable Energies in the Last 15 years

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Journal of Modern Power Systems and Clean Energy 2022年第2期10卷 269-276页

作者： Gema garcia Platero Mayte garcia Casado Marta Perez garcia Paula Junco Madero david Alvira Baeza the Red Electrica de Espafia MaridSpain

From its commissioning in 2006 to the present,the Spanish Control Centre for Renewable Energies(CECRE)has been a worldwide pioneer and reference centre in the integration of renewable energies in the electrical *** the last 15 years,CECRE has allowed a high penetration of renewable energies in Spanish electrical system by means of the supervision and control of renewable facilities,while ensuring the power supply *** paper defines the bases of renewable en-ergy operation in CECRE and introduces forecasting systems for renewable ***,this paper describes the participation of renewable energies in balancing services and congestion ***,new challenges for Spanish transmission system operator(TSO)are presented for the integration of renewable energies along with the energy transition and decarbonization.

关键词： Balancing services controllability forecasting system observability Control Centre for Renewable Energies(CECRE) renewable energy photovoltaic(PV) wind.

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Data model extension for security event notification with dynamic risk assessment purpose

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Science China(Information Sciences) 2013年第11期56卷 36-44页

作者： david LOPEZ Oscar PASTOR Luis Javier garcia VILLALBA Group of Analysis Security and Systems (GASS) Department of Software Engineering and Artificial Intelligence (DISIA) School of Computer Science Universidad Complutense Madrid 28040 Spain

Dynamic risk assessment refers to a risk management framework where frequent updates of risk evaluation information are used to evaluate risk exposure,as close as possible to *** this paper,we present the incident object description exchange format extended model for dynamic risk *** format attempts to overcome the absence of integration and real-time communication between security systems and risk assessment *** model is based on the incident object definition exchange format,which is commonly used in the computer security incident response teams *** data model aims to facilitate a global vision of information systems risk by supplying real-time security events data to risk assessment tools based on renowned *** present a proof-of-concept scenario to demonstrate the usefulness of this integration and the proposed data model,and discuss the expected improvements.

关键词： dynamic risk assessment risk management DRA IODEF-DRA IODEF.

Induced pluripotent stem cells from Huntington's disease patients:a promising approach to define and correct disease-related alterations

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Neural Regeneration Research 2019年第5期14卷 769-770页

作者： Azra Fatima Ricardo Gutiérrez-garcia david Vilchez Institute for Genetics and Cologne Excellence Cluster for Cellular Stress Responses in Aging-Associated Diseases(CECAD) University of Cologne

Adult somatic cells such as skin or blood cells from either health donors or patients can be reprogrammed into induced pluripotent stem cells(iPSCs).Given their unlimited self-renewal and differentiation capacities,iPSCs are an invaluable resource to generate terminally differentiated ***,iPSCs can facilitate the study of human diseases and drug screening,holding great promise for regenerative *** significant advantage of iPSC disease-modeling is that normal and mutant proteins are expressed at endogenous *** addition,subtle phenotypes and the effects of genetic background variations can be assessed by comparison between iPSC lines obtained from different patients and healthy donors as well as isogenic lines,in which disease-related mutations are corrected.

关键词： Adult somatic cells skin or blood cells Huntington’s disease patients

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Li2SnO3 branched nano- and microstructures with intense and broadband white-light emission

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Nano Research 2019年第2期12卷 441-448页

作者： Miguel garcia-Tecedor Javier Bartolome david Maestre Achim Trampert Ana Cremades Dpt. Fisica de Materials Facultad de CC. Fisicas Universidad Complutense de Madrid Madrid 28040 Spain Paul-Drude-Institut fur Festkorperelektronik Hausvogteiplatz 5-7 Berlin 10117 Germany Institute of Advanced Materials (INAM) Universitat Jaume I Castello 12006 Spain Dpt. Fisica de Materiales Facultad de CC. Ftsicas Universidad Complutense de Madrid Madrid 28040 Spain

Exploiting the synergy between microstructure, morphology and dimensions by suitable nanomaterial engineeri ng, can effectively upgrade the physical properties and material performances. Li2SnO3 elongated nano- and microstructures in form of belts, wires, rods and branched structures have been fabricated by a vapor-solid method at temperatures ranging from 700 to 900℃ using metallic Sn and Li2CO3 as precursors. The achievement of these new morphologies can face challenging applications for Li2SnO3, not only in the field of energy storage, but also as building blocks in optoelectronic devices. The micro? and nanostructures grown at 700 and 800℃ correspond to monoclinic Li2SnO3, while at 900℃ complex Li2S nO/SnO2 core-shell microstructures are grow n, as con firmed by X-ray diffractio n and Rama n spectroscopy. Transmission electron microscopy reveals structural disorder related to stacking faults in some of the branched structures, which is associated with the prese nee of the low-temperature phase of L12S nO3. The luminescent resp onse of these structures is domi nated by in tense emissi ons at 2, 2.5 and 3 eV, almost completely covering the whole range of the visible light spectrum. As a result, white-light emission is obtained without the need of phosphors or complex quantum well heterostructures. Enhanced functionality in applications such as in light-emitting devices could be exploited based on the high luminescenee intensity observed in some of the analysed Li2SnO3 structures.

关键词： lithium oxides white light emitters nanostructures luminescenee

Understanding the immune response and the current landscape of immunotherapy in pancreatic cancer

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World Journal of Gastroenterology 2021年第40期27卷 6775-6793页

作者： Lorena Ostios-garcia Julia Villamayor Esther garcia-Lorenzo david Vinal Jaime Feliu Department of Oncology La Paz University HospitalIDIPAZCIBERONCCátedra UAMAMGENMadrid 28046Spain

Pancreatic ductal adenocarcinoma(PDAC)is an aggressive tumor with high *** with surgery,radiotherapy,chemotherapy,and other locoregional or systemic therapies,the survival rates for PDAC are low and have not significantly changed in the past *** special characteristics of the PDAC’s microenvironment and its complex immune escape mechanism need to be considered when designing novel therapeutic approaches in this *** is characterized by chronic inflammation with a high rate of tumor-associated macrophages and myeloid-derived suppressor cells and a low rate of natural killer and effector T *** pancreatic microenvironment is a fibrotic,microvascularized stroma that isolates the tumor from systemic ***,a novel approach that has demonstrated effectiveness in certain solid tumors,has failed to show any practice-changing results in pancreatic cancer,with the exception of PDACs with mismatch repair deficiency and high tumor mutational burden,which show prolonged survival rates with ***,numerous clinical trials are attempting to assess the efficacy of immunotherapeutic strategies in PDAC,including immune checkpoint inhibitors,cancer vaccines,and adoptive cell transfer,alone or in combination with other immunotherapeutic agents,chemoradiotherapy,and other targeted therapies.A deep understanding of the immune response will help in the development of new therapeutic strategies leading to improved clinical outcomes for patients with PDAC.

关键词： Pancreatic cancer Immunity Immune evasion Tumor microenvironment Immunotherapy Cancer vaccines

Development and transferability of two multiplexes nSSR in Scots pine(Pinus sylvestris L.)

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Journal of Forestry Research 2015年第2期26卷 361-368页

作者： Stefana Ganea Sonali S.Ranade david Hall Sara Abrahamsson Maria Rosario garcia-Gil Department of Forest Genetics and Plant Physiology SLU901 83 UmeaSweden Department of Genetics and Plant Breeding USAMV400372 Cluj-NapocaRomania

Single sequence repeat（SSR） multiplexing is a semi high-throughput PCR methodology for the analysis of multiple *** developed two SSR multiplexes selected from SSR loci previously reported in the pine literature and tested the transferability of both SSR multiplexes in nine other pine *** tested 234 nuclear SSR loci（n SSRs） previously described in the pine literature and selected ten n SSRs following the simple criteria of interpretability and *** nuclear loci were divided into two n SSRs multiplex sets and their amplification was optimized for three different multiplex PCR methods based on：（a） a custom PCR protocol,（b） a custom protocol with hotstart taq polymerase,and（c） a commercially available kit for SSR *** validate their performance,the level of genetic diversity was assessed in three Scots pine natural populations（Hungary,northern Sweden and southern Sweden）.In addition,we also tested the transferability of these multiplexes in nine other pine *** have developed two n SSRs multiplexes of five loci each that will contribute to reduce the costs of n SSR scoring,while increasing the capacity of n SSR loci *** was successful in all three populations（94 % success） and the level of polymorphism（7.1 alleles/marker） was similar to that previously reported for other Scots pine natural *** of both multiplexes was successful for those pine species closely related to Scots pine.

关键词： Genetic diversity Nuclear SSR SSR multiplex Scots pine

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Analytical/Numerical Modelling of Two Parallel Robots as Laser Calibration Instruments Controlled by Classical/Intelligent Schemes

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Journal of Control Science and Engineering 2015年第2期3卷 64-78页

作者： Ricardo Zavala-Yoe Ricardo A. Ramirez-Mendoza Daniel chaparro-Altamirano JavierRuiz-garcia Tecnologico de Monterrey Escuela de lngenieriay Ciencias Calle del Puente 222 Ejidos de Huipulco 14380 Mexico City Computer Science Department Columbia University New York USA

Industrial metrology deals with measurements in production environment. It concerns calibration procedures as well as control of measurement processes. Measuring devices have been evolving from manual theodolites, electronic theodolites, robotic total stations, to a relatively new kind of laser-based systems known as laser trackers. Laser trackers are 3D coordinate measuring devices that accurately measure large （and relatively distant） objects by computing spatial coordinates of optical targets held against those objects. In addition, laser trackers are used to align truthfully large mechanical parts. However, such aligning can be done in moving parts, for instance during robot calibration in a welding line. In this case, serial robots are controlled in order to keep a prescribed trajectory to accomplish its task properly. Nevertheless, in spite of a good control algorithm design, as time goes by, deviations appear and a calibration process is necessary. It is well known that laser tracker systems are produced by very well established enterprises but their laser products may result expensive for some （small） industries. We offer two parallel robot-based laser tracker systems models whose implementation would result cheaper than sophisticated laser devices and takes advantage of the parallel robot bondages as accuracy and high payload. The types of parallel robots evaluated were 3-SPS-1-S and 6-PUS. Modelling of the parallel robots was done by analytical and numerical techniques. The latter includes classical and artificial intelligence-based algorithms. The control performance was evaluated between classical and intelligent controllers.

关键词： Parallel robots laser calibration classical and al-controllers.