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The (logarithmic) least squares optimality of the arithmetic (geometric) mean of weight vectors calculated from all spanning trees for incomplete additive (multiplicative) pairwise comparison matrices

arXiv

引用

arXiv 2017年

作者： Bozóki, Sándor Tsyganok, Vitaliy Laboratory on Engineering and Management Intelligence Research Group of Operations Research and Deci-sion Systems Institute for Computer Science and Control Hungarian Academy of Sciences P.O. Box 63 Budapest1518 Hungary Department of Operations Research and Actuarial Sciences Corvinus University of Budapest Hungary Laboratory for Decision Support Systems Institute for Information Recording of National Academy of Sci-ences of Ukraine 2 Shpak str. Kyiv03113 Ukraine Department of Information Systems and Technologies Inst. of Spec. Communication and Information Protection of National Technical University of Ukraine Igor Sikorsky Kyiv Polytechnic Institute

Complete and incomplete additive/multiplicative pairwise comparison matrices are ap- plied in preference modelling, multi-attribute decision making and ranking. The equivalence of two well known methods is proved in this paper. The arithmetic (geometric) mean of weight vectors, calculated from all spanning trees, is proved to be optimal to the (loga- rithmic) least squares problem, not only for complete, as it was recently shown in Lundy, M., Siraj, S., Greco, S. (2017): The mathematical equivalence of the "spanning tree" and row geometric mean preference vectors and its implications for preference analysis, European Journal of Operational research 257(1) 197{208, but for incomplete matrices as well. Unlike the complete case, where an explicit formula, namely the row arithmetic/geometric mean of matrix elements, exists for the (logarithmic) least squares problem, the incomplete case requires a completely different and new proof. Finally, Kirchhoff's laws for the calculation of potentials in electric circuits is connected to our *** Codes 05C50, 90B50, 94C15 Copyright © 2017, The Authors. All rights reserved.

关键词： Decision theory

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Reducing the Modeling Error by Observer Based PID Regulators for a Class of Factorable Nonlinear Plants

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IFAC-PapersOnLine 2015年第11 11期48卷 662-667页

作者： Keviczky, L. Bányász, Cs. Institute of Computer Science and Automation MTA-BME Control Engineering Research Group Hungarian Academy of Sciences H-1111 Budapest Kende u 13-17 Hungary

A PID regulator tuning method is introduced for HAMMERSTEIN and WIENER type block-oriented cascade factorable nonlinear models. Then the YOULA-parameterization approach is discussed which allows to develop an observer... 详细信息

关键词： Proportional control systems Parameterization Hammerstein model Nonlinear process observer PID regulators YOULA regulator

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Feasibility Analysis of Sustainable Methods Through Manufacturing Algebra and Monte-Carlo Simulations

Feasibility Analysis of Sustainable Methods Through Manufact...

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Mediterranean Conference on control and Automation

作者： Carlos Perez-Montenegro Carlo Novara Enrico Canuto Diomar Calderon Adolfo Vargas Dept. of Control and Computer Engineering Politecnico di Torino Integrated Arts Faculty Universidad de San Buenaventura research group Paloseco Universitaria de Investigacion y Desarrollo UDI

ISBN: (纸本)9781467383479

From some years ago, development of sustainable methods for industrial applications are a trending topic, these present the steps to guarantee the current requirements without compromising future resources. New demands for law policies and social responsibility are constantly generated. This paper presents a low cost strategy to evaluate the feasibility of sustainable methods using an extension of manufacturing algebra that includes energy consumption, waste management, and food distribution, The steps to develop a discrete model based in manufacturing operations is developed, the model is obtained in order to implement a simulator which takes into account the parametric uncertainty. A case of study is presented in a high hierarchical level is presented.

关键词： Monte Carlo technique Food distribution Algebra Social Responsibility Industrial applications simulator Classification(centrifugal)

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Mapping the Human Body at Cellular Resolution -- The NIH Common Fund Human BioMolecular Atlas Program

arXiv

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arXiv 2019年

作者： Snyder, Michael P. Lin, Shin Posgai, Amanda Atkinson, Mark Regev, Aviv Rood, Jennifer Rozenblatt-Rosen, Orit Gaffney, Leslie Hupalowska, Anna Satija, Rahul Gehlenborg, Nils Shendure, Jay Laskin, Julia Harbury, Pehr Nystrom, Nicholas A. Bar-Joseph, Ziv Zhang, Kun Börner, Katy Lin, Yiing Conroy, Richard Procaccini, Dena Roy, Ananda L. Pillai, Ajay Brown, Marishka Galis, Zorina S. Cai, Long Shendure, Jay Trapnell, Cole Lin, Shin Jackson, Dana Snyder, Michael P. Nolan, Garry Greenleaf, William James Lin, Yiing Plevritis, Sylvia Ahadi, Sara Lee, Hayan Nevins, Stephanie Esplin, Ed Horning, Aaron Bahmani, Amir Zhang, Kun Sun, Xin Jain, Sanjay Hagood, James Kharchenko, Peter Atkinson, Mark Bodenmiller, Bernd Brusko, Todd Clare-Salzler, Michael Nick, Harry Otto, Kevin Posgai, Amanda Wasserfall, Clive Maffioletti, Sergio Caprioli, Richard M. Spraggins, Jeffrey M. Gutierrez, Danielle Patterson, Nathan Heath Neumann, Elizabeth K. Harris, Raymond deCaestecker, Mark de Plas, Raf Van Lau, Ken Cai, Long Yuan, Guo-Cheng Zhu, Qian Dries, Ruben Yin, Peng Saka, Sinem K. Kishi, Jocelyn Y. Wang, Yu Goldaracena, Isabel Laskin, Julia Ye, DongHye Burnum-Johnson, Kristin E. Piehowski, Paul D. Ansong, Charles Zhu, Ying Harbury, Pehr Desai, Tushar Mulye, Jay Chou, Peter Nagendran, Monica Bar-Joseph, Ziv Teichmann, Sarah A. Paten, Benedict Murphy, Robert F. Ma, Jian Kiselev, Vladimir Yu Kingsford, Carl Ricarte, Allyson Ruffalo, Matthew Gehlenborg, Nils Kharchenko, Peter Vella, Margaret McCallum, Chuck Börner, Katy Cross, Leonard E. Friedman, Samuel H. Heiland, Randy Herr, Bruce Macklin, Paul Quardokus, Ellen M. Record, Lisel Sluka, James P. Weber, Griffin M. Nystrom, Nicholas A. Silverstein, Jonathan C. Blood, Philip D. Ropelewski, Alexander J. Shirey, William E. Mabee, Paula Lenhardt, W. Christopher Robasky, Kimberly Michailidis, Stavros Satija, Rahul Marioni, John Regev, Aviv Butler, Andrew Stuart, Tim Fisher, Eyal Ghazanfar, Shila Rood, Jennifer Gaffney, Leslie Ersalan, Gokcen Biancalani, Tommaso Conroy, Richard Procaccini, Dena Roy, Anan School of Medicine Stanford University 300 Pasteur Drive United States Department of Genetics Stanford School of Medicine StanfordCA94305 United States Department of Medicine University of Washington SeattleWA98195 United States Department of Pathology University of Florida Diabetes Institute GainesvilleFL32610 United States Klarman Cell Observatory Broad Institute of MIT and Harvard CambridgeMA02142 United States Howard Hughes Medical Institute Koch Institute of Integrative Cancer Research Department of Biology Massachusetts Institute of Technology CambridgeMA02140 United States New York Genome Center New York CityNY10013 United States New York University New YorkNY10012 United States Department of Biomedical Informatics Harvard Medical School BostonMA02115 United States Department of Genome Sciences University of Washington SeattleWA98105 United States Department of Chemistry Purdue University West LafayetteIN47907 United States Department of Biochemistry Stanford University School of Medicine StanfordCA94305 United States Pittsburgh Supercomputing Center Carnegie Mellon University PittsburghPA15213 United States Department of Computational Biology School of Computer Science Carnegie Mellon University PittsburghPA15213 United States Department of Bioengineering University of California San Diego La JollaCA92093 United States Department of Intelligent Systems Engineering School of Informatics Computing and Engineering Indiana University BloomingtonIN47408 United States Department of Surgery Washington University School of Medicine St LouisMO63110 United States Division of Program Coordination Planning and Strategic Initiatives National Institutes of Health BethesdaMD20892 United States National Human Genome Research Institute National Institutes of Health BethesdaMD20892 United States National Heart Lung and Blood Institute National Institutes of Health BethesdaMD20892 United States Caltech-UW TMC Departmen

Transformative technologies are enabling the construction of three dimensional (3D) maps of tissues with unprecedented spatial and molecular resolution. Over the next seven years, the NIH Common Fund Human Biomolecular Atlas Program (HuBMAP) intends to develop a widely accessible framework for comprehensively mapping the human body at single-cell resolution by supporting technology development, data acquisition, and detailed spatial mapping. HuBMAP will integrate its efforts with other funding agencies, programs, consortia, and the biomedical research community at large towards the shared vision of a comprehensive, accessible 3D molecular and cellular atlas of the human body, in health and various disease settings. Copyright © 2019, The Authors. All rights reserved.

关键词： Mapping

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Robust Reconfgurable control for In-wheel Electric Vehicles

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IFAC-PapersOnLine 2015年第21期48卷 36-41页

作者： Gaspar, Péter Bokor, József Mihály, András Szabó, Zoltán Fülep, Timea Szauter, Ferenc Institute for Computer Science and Control Hungarian Academy of Sciences and MTA-BME Control Engineering Research Group Budapest Hungary Institute for Computer Science and Control Hungarian Academy of Sciences Budapest Hungary Research Center of Vehicle Industry Széchenyi István University Gyôr Hungary

The paper presents a fault tolerant reconfgurable control method for vehicles driven by four in-wheel electric motors and a steering system. The aim of the design is to realize robust velocity and road trajectory tracking even under challenging driving conditions or actuator failures. The vehicle is operated solely with the in-wheel motors, thus steering intervention is only applied in case of skidding or a failure of an electric motor. The reconfgurable control is realized based on Linear Parameter Varying (LPV) framework, using the specifc characteristics of the in-wheel motors of fast and accurate torque control. The operation of the designed control system is demonstrated in a CarSim simulation environment. © 2015

关键词： Robust control

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Set-based actuator reconfiguration analysis for the integrated control of lateral vehicle dynamics 9

Set-based actuator reconfiguration analysis for the integrat...

引用

9th IFAC Symposium on Fault Detection, Supervision and Safety for Technical Processes, SAFEPROCESS 2015

作者： Gáspár, Péter Németh, Balázs Institute for Computer Science and Control Hungarian Academy of Sciences MTA-BME Control Engineering Research Group Budapest Hungary Institute for Computer Science and Control Hungarian Academy of Sciences Budapest Hungary

The paper proposes a set-based analysis of steering and braking actuator integration in order to improve the reconfiguration strategy of lateral vehicle control. The purpose is to examine the improvement possibilities of the stabilization abilities through actuator integration. The results are applied to the theoretical basis of the actuator selection strategy in the reconfigurable control. In the analysis the computation method of the maximum controlled Invariant Sets based on the nonlinear Sum-of-Squares (SOS) programming is used. The analysis considers the nonlinear characteristics of the tyre, the velocity and the tyre-road conditions which significantly determine the stability regions in the lateral dynamics. Thus, the resulting sets provide information about the stabilization abilities of the actuators for the entire vehicle system. The examination of the integrated actuation in the reconfiguration strategy is illustrated through various vehicle manoeuvres. © 2015, IFAC (International Federation of Automatic control) Hosting by Elsevier Ltd. All rights reserved.

关键词： Actuators

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Design of low conflict cruise control for safety critical vehicle interactions 9

Design of low conflict cruise control for safety critical ve...

引用

9th IFAC Symposium on Fault Detection, Supervision and Safety for Technical Processes, SAFEPROCESS 2015

作者： Németh, Balazs Gaspar, Péter Institute for Computer Science and Control Hungarian Academy of Sciences Budapest Hungary Institute for Computer Science and Control Hungarian Academy of Sciences MTA-BME Control Engineering Research Group Budapest Hungary

In the paper a speed profile design strategy to avoid safety conflicts in vehicle interactions is proposed. A fault-tolerant strategy for an intersection scenario is presented, which handles the malfunction of the traffic control elements, such as traffic lights. The signals obtained from the road and vehicles in the traffic are handled jointly with the dynamic equations of the vehicle and built into the control design of speed. The look-ahead cruise control method is able to guarantee safety and find an energy-efficient solution with the incorporation of road grade and speed limits. The efficiency of the method is demonstrated through simulation examples. © 2015, IFAC (International Federation of Automatic control) Hosting by Elsevier Ltd. All rights reserved.

关键词： Roads and streets

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Identifying the best machine learning algorithms for brain tumor segmentation, progression assessment, and overall survival prediction in the BRATS challenge

arXiv

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arXiv 2018年

作者： Bakas, Spyridon Reyes, Mauricio Jakab, Andras Bauer, Stefan Rempfler, Markus Crimi, Alessandro Shinohara, Russell Takeshi Berger, Christoph Ha, Sung Min Rozycki, Martin Prastawa, Marcel Alberts, Esther Lipkova, Jana Freymann, John Kirby, Justin Bilello, Michel Fathallah-Shaykh, Hassan M. Wiest, Roland Kirschke, Jan Wiestler, Benedikt Colen, Rivka Kotrotsou, Aikaterini Lamontagne, Pamela Marcus, Daniel Milchenko, Mikhail Nazeri, Arash Weber, Marc-Andr Mahajan, Abhishek Baid, Ujjwal Gerstner, Elizabeth Kwon, Dongjin Acharya, Gagan Agarwal, Manu Alam, Mahbubul Albiol, Alberto Albiol, Antonio Albiol, Francisco J. Alex, Varghese Allinson, Nigel Amorim, Pedro H.A. Amrutkar, Abhijit Anand, Ganesh Andermatt, Simon Arbel, Tal Arbelaez, Pablo Avery, Aaron Azmat, Muneeza Pranjal, B. Bai, Wenjia Banerjee, Subhashis Barth, Bill Batchelder, Thomas Batmanghelich, Kayhan Battistella, Enzo Beers, Andrew Belyaev, Mikhail Bendszus, Martin Benson, Eze Bernal, Jose Bharath, Halandur Nagaraja Biros, George Bisdas, Sotirios Brown, James Cabezas, Mariano Cao, Shilei Cardoso, Jorge M. Carver, Eric N. Casamitjana, Adri Castillo, Laura Silvana Cat, Marcel Cattin, Philippe Cérigues, Albert Chagas, Vinicius S. Chandra, Siddhartha Chang, Yi-Ju Chang, Shiyu Chang, Ken Chazalon, Joseph Chen, Shengcong Chen, Wei Chen, Jefferson W. Chen, Zhaolin Cheng, Kun Choudhury, Ahana Roy Chylla, Roger Clrigues, Albert Colleman, Steven Colmeiro, Ramiro German Rodriguez Combalia, Marc Costa, Anthony Cui, Xiaomeng Dai, Zhenzhen Dai, Lutao Daza, Laura Alexandra Deutsch, Eric Ding, Changxing Dong, Chao Dong, Shidu Dudzik, Wojciech Eaton-Rosen, Zach Egan, Gary Escudero, Guilherme Estienne, Tho Everson, Richard Fabrizio, Jonathan Fan, Yong Fang, Longwei Feng, Xue Ferrante, Enzo Fidon, Lucas Fischer, Martin French, Andrew P. Fridman, Naomi Fu, Huan Fuentes, David Gao, Yaozong Gates, Evan Gering, David Gholami, Amir Gierke, Willi Glocker, Ben Gong, Mingming Gonzlez-Vill, Sandra Grosges, T. Guan, Yuanfang Guo, Sheng Gupta, Sudeep Han, Woo-Sup Han, Il Song Harmuth, Ko Center for Biomedical Image Computing and Analytics University of Pennsylvania PhiladelphiaPA United States Department of Radiology Perelman School of Medicine University of Pennsylvania PhiladelphiaPA United States Department of Pathology and Laboratory Medicine Perelman School of Medicine University of Pennsylvania PhiladelphiaPA United States Institute for Surgical Technology and Biomechanics University of Bern Bern Switzerland Center for MR-Research University Children's Hospital Zurich Zurich Switzerland Support Centre for Advanced Neuroimaging Inselspital Institute for Diagnostic and Interventional Neuroradiology Bern University Hospital Bern Switzerland University Hospital of Zurich Zurich Switzerland Center for Clinical Epidemiology and Biostatistics University of Pennsylvania Philadelphia United States Image-Based Biomedical Modeling Group Technical University of Munich Munich Germany Icahn School of Medicine Mount Sinai Health System New YorkNY United States Leidos Biomedical Research Inc. Frederick National Laboratory for Cancer Research FrederickMD21701 United States Cancer Imaging Program National Cancer Institute National Institutes of Health BethesdaMD20814 United States Department of Neurology University of Alabama at Birmingham BirminghamAL United States Department of Diagnostic Radiology University of Texas MD Anderson Cancer Center HoustonTX United States Department of Psychology Washington University St. LouisMO United States Neuroimaging Informatics and Analysis Center Washington University St. LouisMO United States Department of Radiology Washington University St. LouisMO United States Institute of Diagnostic and Interventional Radiology Pediatric Radiology and Neuroradiology University Medical Center Rostock Ernst-Heydemann-Str. 6 Rostock18057 Germany Tata Memorial Centre Homi Bhabha National Institute Mumbai India Shri Guru Gobind Singhji Institute of Engineering and Technology Nanded India NVIDIA Santa Clara

Gliomas are the most common primary brain malignancies, with different degrees of aggressiveness, variable prognosis and various heterogeneous histologic sub-regions, i.e., peritumoral edematous/invaded tissue, necrotic core, active and non-enhancing core. This intrinsic heterogeneity is also portrayed in their radio-phenotype, as their sub-regions are depicted by varying intensity profiles disseminated across multi-parametric magnetic resonance imaging (mpMRI) scans, reflecting varying biological properties. Their heterogeneous shape, extent, and location are some of the factors that make these tumors difficult to resect, and in some cases inoperable. The amount of resected tumor is a factor also considered in longitudinal scans, when evaluating the apparent tumor for potential diagnosis of progression. Furthermore, there is mounting evidence that accurate segmentation of the various tumor sub-regions can offer the basis for quantitative image analysis towards prediction of patient overall survival. This study assesses the state-of-the-art machine learning (ML) methods used for brain tumor image analysis in mpMRI scans, during the last seven instances of the International Brain Tumor Segmentation (BraTS) challenge, i.e., 2012-2018. Specifically, we focus on i) evaluating segmentations of the various glioma sub-regions in pre-operative mpMRI scans, ii) assessing potential tumor progression by virtue of longitudinal growth of tumor sub-regions, beyond use of the RECIST/RANO criteria, and iii) predicting the overall survival from pre-operative mpMRI scans of patients that underwent gross total resection. Finally, we investigate the challenge of identifying the best ML algorithms for each of these tasks, considering that apart from being diverse on each instance of the challenge, the multi-institutional mpMRI BraTS dataset has also been a continuously evolving/growing dataset. Copyright © 2018, The Authors. All rights reserved.

关键词： Tumors

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Robust Vehicle Localization with GPS Dropouts

Robust Vehicle Localization with GPS Dropouts

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International Conference on Intelligent and Advanced Systems

作者： Salman Ali Shaukat Muhammad Arif Umar Iqbal Bhatti Khalid Munawar Aamer Iqbal Bhatti Ubaid M. Al-Saggaf Center of Excellence in Intelligent Engineering Systems King Abdulaziz University Department of Computer Science Umm-Alqura University Department of Aeronautics and Astronautics Institute of Space Technology Control and Signal Processing Research Group Capital University of Science and Technology

ISBN: (纸本)9781509008469

Vehicle navigation systems rely on the correct positioning information and GPS is the best solution. However, in situations of GPS outage, like in tunnels and dense woods, the vehicle can lose track quickly. Modern vehicle navigation systems are mostly based on the vehicle dynamics;proprietary algorithms keep navigating for quite some time. But these solutions are expensive and add much to a vehicle's cost. This paper proposes a Kalman filter based dead-reckoning algorithm that fuses GPS information with the orientation information from a cheap IMU/INS, and the vehicle's speed accessed from its ECU. This low-cost system uses GPS and IMU/INS in a loosely coupled manner along with vehicle's speed and keeps supplying a quite accurate position information with GPS outage for significantly long intervals. With proper tuning and initialization, the proposed scheme has a potential to keep working in a completely GPS-denied situation.

关键词： Navigation GPS IMU/INS Dead-reckoning

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Blending for H∞ performance: A group theoretic approach 8

Blending for H∞ performance: A group theoretic approach

引用

8th IFAC Symposium on Robust control Design, ROCOND 2015

作者： Szabó, Z. Bokor, J. Schipp, F. Institute for Computer Science and Control Hungarian Academy of Sciences Kende u. 13-17 Budapest Hungary Institute for Computer Science and Control Hungarian Academy of Sciences MTA-BME Control Engineering Research Group Hungary

In order to design efficient algorithms that work on the set of controllers that fulfill a given property e.g., stability or a norm bound, it is important to have an operation that preserves that property, i.e., a suitable blending method. Concerning stability, a traditional approach is to use the Youla parametrization and the corresponding parameters as a starting point. While this method guarantees stabilizability as the invariant property for the fairly large class of strictly proper plants, there are also other solutions to the problem. The authors already provide a detailed analysis for feedback stability placing the controller blending problem in a general setting by pointing to the basic global geometric structures that are related to well-posedness and feedback stability. In this paper these efforts are continued and the group structure corresponding to performance problems, e.g., those related to a suboptimal H∞ design, is presented. Besides its educative value the presentation provides a possible tool for the algorithmic development. © 2015, IFAC (International Federation of Automatic control) Hosting by Elsevier Ltd. All rights reserved.

关键词： Blending

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