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Multiobjective Cuckoo Search Applied to Radial Basis Function Neural Networks Training for System Identification

IFAC Proceedings Volumes 2014年第3期47卷 2539-2544页

作者： Helon Vicente Hultmann Ayala Leandro dos Santos Coelho Industrial and Systems Engineering Graduate Program (PPGEPS) PUCPR Curitiba Brazil Electrical Engineering Graduate Program (PPGEE) UFPR Curitiba Brazil

In the present work we introduce a system identification framework where no a priori information on the system to be identified is available. Focusing in the specific case of radial basis functions neural networks models, we insert the choice of the model complexity and its inputs in the optimization procedure together with the model parameters, aiming at accuracy, model validity and regularization in a multiobjective approach. The multicriteria problem is solved by means of the multiobjective cuckoo search, which is based on an archiving technique and the crowding distance metric. Simulation results are promising when the methodology is applied to identify a robot arm given solely input and output data.

关键词： System Identification Multiobjective optimization Cuckoo Search Multiobjective Cuckoo Search Neural Networks Radial Basis Functions Robotics

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Proposal of a methodology for implementation of service operations strategies in business projects 23

Proposal of a methodology for implementation of service oper...

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23rd International Conference for Production Research, ICPR 2015

作者： Munik, J. Pinheiro De Lima, E. Costa, S.E.G. Graduate Program in Production Engineering and Systems - PPGEPS Pontifical Catholic University of Paraná - PUCPR Imaculada Conceição Street 1155 Curitiba Paraná Brazil Graduate Program in Production Engineering and Systems - PPGEPS Federal Technological University of Paraná Av. Sete de Setembro 3165 Curitiba Paraná Brazil

Strategies when unfolded through a systematic methodology, can ensure a greater probability of positive return for organizations such as increased quality and reduced production costs. In this paper, it will be presented the development of a systematic methodology for Strategic Management of Operations, with the objective of proposing the construction and refinement of a conceptual model used to develop Strategies. The organizations used in the research sample are characterized to be in the area of Service Operations in Project regimes. This methodology can optimize the use of a correct approach to the processes of development of Strategies, with more accurate monitoring of all stages of implementation. Finally, the study allows us to analyze the application of the methodology, checking its academic contributions and the results of the case studies analyzed.

关键词： Strategic planning

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Microscopic simulation analysis of Mainstream Traffic Flow Control with Variable Speed Limits

Microscopic simulation analysis of Mainstream Traffic Flow C...

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2013 16th International IEEE Conference on Intelligent Transportation systems: Intelligent Transportation systems for All Modes, ITSC 2013

作者： Muller, Eduardo R. Carlson, Rodrigo C. Kraus, Werner Papageorgiou, Markos Post-graduate Program in Automation and Systems Engineering Federal University of Santa Catarina Florianópolis-SC 88040-900 Brazil Post-graduate Program in Automation and Systems Engineering Center for Mobility Engineering Federal University of Santa Catarina Joinville-SC 89218-000 Brazil Department of Production Engineering and Managament Technical University of Crete Chania 73132 Greece

ISBN: (纸本)9781479929146

Mainstream Traffic Flow Control (MTFC) with Variable Speed Limits (VSL) is a freeway traffic control method which aims to maximize throughput by regulating the mainstream flow upstream from a bottleneck. Recent studies in a macroscopic simulator have shown optimal and feedback MTFC potential to improve traffic conditions. In this paper, local feedback MTFC is applied in microscopic simulation for an on-ramp merge bottleneck. Traffic behavior reveals important aspects that had not been previously captured in macroscopic simulation. Mainly, the more realistic VSL application at specific points instead of along an entire freeway section produces a slower traffic response to speed limit changes. In addition, the nonlinear speed limit-flow relation observed in the microscopic model is more pronounced than what was observed at the macroscopic level. After appropriate modifications in the control law significant improvements in traffic conditions were obtained. © 2013 IEEE.

关键词： Feedback

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Transcriptional regulation by PHGDH drives amyloid pathology in Alzheimer's disease

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Cell 2025年

作者： Chen, Junchen Hadi, Fatemeh Wen, Xingzhao Zhao, Wenxin Xu, Ming Xue, Shuanghong Lin, Pei Calandrelli, Riccardo Richard, John Lalith Charles Song, Zhixuan Li, Jessica Amani, Alborz Liu, Yang Chen, Xu Zhong, Sheng Shu Chien-Gene Lay Department of Bioengineering University of California San Diego La Jolla San Diego CA United States Institute of Engineering in Medicine University of California San Diego La Jolla San Diego CA United States Program in Bioinformatics and Systems Biology University of California San Diego La Jolla San Diego CA United States School of Biological Sciences University of California San Diego La Jolla San Diego CA United States Department of Neurosciences University of California San Diego La Jolla San Diego CA United States Neuroscience Graduate Program University of California San Diego La Jolla San Diego CA United States

Virtually all individuals aged 65 or older develop at least early pathology of Alzheimer's disease (AD), yet most lack disease-causing mutations in APP, PSEN, or MAPT, and many do not carry the APOE4 risk allele. This raises questions about AD development in the general population. Although transcriptional dysregulation has not traditionally been a hallmark of AD, recent studies reveal significant epigenomic changes in late-onset AD (LOAD) patients. We show that altered expression of the LOAD biomarker phosphoglycerate dehydrogenase (PHGDH) modulates AD pathology in mice and human brain organoids independent of its enzymatic activity. PHGDH has an uncharacterized role in transcriptional regulation, promoting the transcription of inhibitor of nuclear factor kappa-B kinase subunit alpha (IKKa) and high-mobility group box 1 (HMGB1) in astrocytes, which suppress autophagy and accelerate amyloid pathology. A blood-brain-barrier-permeable small-molecule inhibitor targeting PHGDH's transcriptional function reduces amyloid pathology and improves AD-related behavioral deficits. These findings highlight transcriptional regulation in LOAD and suggest therapeutic strategies beyond targeting familial mutations. © 2025 The Author(s)

关键词： Alzheimer's disease amyloid pathology astrocyte biomarker LOAD PHGDH small molecule therapeutic candidate transcriptional regulation

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FPGA-based image processing for omnidirectional vision on mobile robots 11

FPGA-based image processing for omnidirectional vision on mo...

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24th Symposium on Integrated Circuits and systems Design, SBCCI2011

作者： Yudi Mori, Jones Mũoz Arboleda, Daniel Arias Garcia, Janier Llanos Quintero, Carlos Motta, José Mechatronic Systems Graduate Program - PPMEC Department of Mechanical Engineering University of Brasilia 70910-900 Brasilia D.F. Brazil

ISBN: (纸本)9781450308281

Omnidirectional vision systems have been used for mobile robots localization and navigation, taking advantage of a panoramic view for detecting objects. This paper presents a pipelined hardware architecture for image processing using a low cost omnidirectional vision system, which was calibrated using a three-order polynomial interpolation. An Altera Cyclone II FPGA device was used for implementing the hardware architectures, which have been described in both VHDL and Verilog hardware description languages. The entire system is composed of a spherical mirror, an 800x480 pixels camera connected to the FPGA, a spatial convolution filter for edge enhancement, a hardware architecture for estimating the distance of real objects and a touch screen display as user interface. Synthesis results point out that the image processing algorithms are effectively implemented in hardware whereas test results demonstrate that the proposed hardware architectures in FPGAs are suitable for mobile robot applications in which the distance among objects or other robots must be computed. Execution time results demonstrate that the proposed hardware architecture achieves a speed-up factor of 61 in comparison with a desktop software solution based on a xPC Target real time operating system. © 2011 ACM.

关键词： Field programmable gate arrays (FPGA)

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Sustainable procedures audit structural model proposition 22

Sustainable procedures audit structural model proposition

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22nd International Conference on Production Research, ICPR 2013

作者： Pereira, Everaldo Antonio R. De Lima, E. Pinheiro Gouvea Da Costa, S.E. Industrial and Systems Engineering Graduate Program Pontifical Catholic University of Parana Imaculada Conceicao St. 1155 Curitiba Parana Brazil

The paper proposes a model for expanded audit of operations strategy that considers the social, economic and environmental in the process of formulation and review of evidence to validate a sustainable operation. The proposed model calls for the operations strategy of an organization should be linked to 3 vertices: sustainability of operations, strategic indicators and auditing. A management audit aims to provide a thorough analysis of the company taking into account the effects of the changes caused by uncontrollable external variables and thus the challenge of being the first international standard for managing corporate responsibility, focusing on audit and social reporting, the AA1000, presents a strategic integration of sustainability indicators that, using the principles of management audit, planning determines an audit to validate sustainable operations. Thus, the main contribution of this work to the operations strategy is to propose an extensible model that allows auditing incorporate the new demands that are imposed on managers dynamically, but that meet the high performance sustainable.

关键词： Sustainable development

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Improved multiobjective particle swarm optimization for designing PID controllers applied to robotic manipulator 4

Improved multiobjective particle swarm optimization for desi...

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4th IEEE Symposium on Computational Intelligence in Control and Automation, CICA 2014

作者： Pierezan, Juliano Ayala, Helon H. V. Da Cruz, Luciano F. Freire, Roberto Z. Dos S. Coelho, Leandro Federal University of Parana- UFPR Electrical Engineering Graduate Program - PPGEE Curitiba Brazil Pontifical Catholic University of Parana - PUCPR Industrial and Systems Engineering Graduate Program - PPGEPS Curitiba Brazil Federal University of Parana - UFPR Department of Electrical Engineering - DEE/PPGEE Curitiba Brazil

ISBN: (纸本)9781479945313

In order to improve equipment efficiency in terms of performance, energy consumption and degradation for example, the industry has increased the use of control systems as the PID (proportional-integral-derivative) to a new baseline. This structure has few parameters to adjust and it is easy to implement practically. However, there are some requirements often included on multivariable systems that cannot be solved concurrently by classical methods. To solve this problem, the current paper approaches the application of Multiobjective Differential Evolution (MODE), Multiobjective Harmony Search (MOHS) and Multiobjective Particle Swarm Optimization (MOPSO) on multivariable PID controllers tuning. Moreover, an improved version of MOPSO (I-MOPSO) is proposed and its performance is compared with the other algorithms. In order to validate it under control systems, the optimization technique is applied on a two degree of freedom robotic manipulator. Finally, a detailed analysis is made on the I-MOPSO achievements. © 2014 IEEE.

关键词： Three term control systems

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Extreme gradient boosting approach with differential evolution tuning applied on service time prediction of fire events 9th

Extreme gradient boosting approach with differential evoluti...

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9th International Joint Conference on Computational Intelligence, IJCCI 2017

作者： Boaretto, Marco A. R. Busatto, Rafael Commim Dos S Coelho, Leandro Federal University of Parana Electrical Engineering Graduate Program Curitiba Brazil Pontifical Catholic University of Parana Industrial and Systems Eng. Grad. Program Curitiba Brazil

ISBN: (纸本)9789897582745

The problems related with urban fires brings destruction, casualties and economic issues to the country. On aiming to decrease the risk specially on populous areas, the development of classification and/or forecasting systems are needed to detect these events. This paper presents a new case of study related with fire incidents to create a predictor with a machine learning technique allied with an optimization technique. Differential evolution (DE) is a population-based stochastic search evolutionary algorithm applied to nonlinear, nondifferentiable, and continuous space functions. It has shown good performance on a wide range of benchmark problems as well as many real-world applications. Extreme Gradient boosting machine (XGBoost) is an efficient boosting technique that is getting a lot of attention because of its success on winning several of competitions hosted by the site Kaggle. However, XGBoost's hyper-parameters tuning process demands a high effort and computational time, hence the application of an optimization technique as DE. In this context, DE showed to be an efficient and robust optimization tool, presenting good and stable results on the adopted tests. Along with the XGBoost hyper-parameter tuning optimized approach, this paper presents a novel database from service times of real fire incidents of the years 2013 and 2014 that were gathered with the Fire Department of the state of Paraná on the city of Curitiba in Brazil (FDPRC). The regression results could contribute with FDPRC, to speed up the location reckoning process of the fire incidents, improving the answering time of the calling. Copyright © 2017 by SCITEPRESS - Science and Technology Publications, Lda. All rights reserved.

关键词： Evolutionary algorithms

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An interpretive-systemic study of the University of Los Andes

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systems Practice 1991年第5期4卷 507-525页

作者： Fuenmayor, Ramsés Bonucci, Mario López-Garay, Hernán Department of Interpretive Systemology Systems Engineering School Universidad de Los Andes Mérida Venezuela Graduate Program in Interpretive Systemic Organizational Management and Planning Systems Engineering School Universidad de Los Andes Mérida Venezuela

This article is a summary of an interpretive-systemic study of the University of Los Andes in Venezuela. Following the methodological guidelines of interpretive systemology, three interpretive contextual systems were designed in order to "comprehend" the sense of the university. These three interpretive contexts were derived from possible different interpretations of the University Law (Statutes). Results obtained from the "thematic interpretation" of university activities and decision taking reveal an institution removed from any of the missions depicted in the interpretive contexts. A fourth interpretive context was designed to provide an interpretation of the regulative role the institution plays in order to maintain a particular social order and power structure. This fourth interpretive context shows greater interpretive power with regard to actual university activities than the other three. © 1991 Plenum Publishing Corporation.

关键词： interpretive systemology organizational studies social systems

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GIS-Based Methodology for Crash Prediction on Single-Lane Rural Highways

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Journal of Geographic Information System 2021年第2期13卷 98-121页

作者： Márcia Macedo Emilia Kohlman Rabbani Maria Maia Marlos Macedo Bianca Ferreira Post-Graduate Program in Civil Engineering UPE Recife Brazil Post-Graduate Program in Systems Engineering UPE Recife Brazil Graduate Program in Architecture and Urban Planning UNICAP Recife Brazil

Due to the need to update the current guidelines for highway design to focus on safety, this study sought to build an accident prediction model using a Geographic Information System (GIS) for single-lane rural highways, with a minimum of statistically significant variables, adequate to the Brazilian reality, and improve accident prediction for places with similar characteristics. A database was created to associate the accident records with the geometric parameters of the highway and to fill in the gaps left by the absence of geometric highway plans through geometric reconstitution or semi-automatic extraction of highways using satellite images. The Generalized Estimating Equation (GEE) method was applied to estimate the coefficients of the model, assuming negative distribution of the binomial error for the count of observed accidents. The accident frequency and annual average daily traffic (AADT) were analyzed, along with the spatial and geometric characteristics of 215 km of federal single-lane rural highways between 2007 and 2016. The GEE procedure was applied to two models having three variations of distinct homogeneous segmentation, two based on segments and one based on the kernel density estimator. To assess the effect of constant traffic, two more variations of the models using AADT as an offset variable were considered. The predominant correlation structure in the models was the exchangeable. The principal contributing factors for the occurrence of collisions were the radius of the horizontal curve, the grade, segment length, and the AADT. The study produced clear indicators for the design parameters of roadways that influence the safety performance of rural highways.

关键词： Roads GEE Single-Lane Rural Highways GIS Crash Prediction

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