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A New Mathematical Modelling Approach for Viticulture and Winemaking Using Fuzzy Cognitive Maps

IFAC-PapersOnLine 2015年第24期48卷 15-20页

作者： Peter, Groumpos P. Antigoni, Anninou P. Vasileios, Groumpos P. Laboratory of Automation and Robotics Department of Electrical and Computer Engineering University of Patras Rio26500 Greece Master Stud. Agricultural University of Athens Athens Greece

The aim of this paper is to present a new approach in modelling wine quality and quantity using Fuzzy Cognitive Maps trained by non linear Hebbian learning algorithm. The methodology described extracts the knowledge from the experts and exploits their experience on wine production. Two case studies with data from real vineyards were examined. The results of this study show that software tools using Fuzzy Cognitive Maps could be explored further and problems that arise during the wine production could be prevented by an efficient decision support system. © 2015, IFFCA (Internaitional Fedreation of Automatic Control) Hosting by Elsevier Ltd. All rights reserved.

关键词： Fuzzy rules Artificial intelligence Breweries Cognitive systems Decision support systems Wine Case studies Fuzzy cognitive map Hebbian learning algorithm New approaches viticulture Wine production Wine quality winemaking

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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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Effects of temperature and cellular interactions on the mechanics and morphology of human cancer cells investigated by atomic force microscopy

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Science China(Life Sciences) 2015年第9期58卷 889-901页

作者： LI Mi LIU LianQing XI Ning WANG YueChao XIAO XiuBin ZHANG WeiJing State Key Laboratory of Robotics Shenyang Institute of Automation Chinese Academy of Sciences University of Chinese Academy of Sciences Department of Electrical and Computer Engineering Michigan State University Department of Lymphoma Affiliated Hospital of Military Medical Academy of Sciences

Cell mechanics plays an important role in cellular physiological activities. Recent studies have shown that cellular mechanical properties are novel biomarkers for indicating the cell states. In this article, temperature-controllable atomic force microscopy(AFM) was applied to quantitatively investigate the effects of temperature and cellular interactions on the mechanics and morphology of human cancer cells. First, AFM indenting experiments were performed on six types of human cells to investigate the changes of cellular Young's modulus at different temperatures and the results showed that the mechanical responses to the changes of temperature were variable for different types of cancer cells. Second, AFM imaging experiments were performed to observe the morphological changes in living cells at different temperatures and the results showed the significant changes of cell morphology caused by the alterations of temperature. Finally, by co-culturing human cancer cells with human immune cells, the mechanical and morphological changes in cancer cells were investigated. The results showed that the co-culture of cancer cells and immune cells could cause the distinct mechanical changes in cancer cells, but no significant morphological differences were observed. The experimental results improved our understanding of the effects of temperature and cellular interactions on the mechanics and morphology of cancer cells.

关键词： atomic force microscopy mechanics cancer cell temperature cellular interactions

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Probabilistic Punishment on Free Riders in Threshold Public Goods Games

Probabilistic Punishment on Free Riders in Threshold Public ...

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第三十四届中国控制会议

作者： ZHANG Chunyan LIU Zhongxin SUN Qinglin CHEN Zengqiang Department of Automation Computer and Control Engineering Nankai University Tianjin Key Laboratory of Intelligent Robotics Computer and Control Engineering Nankai University

ISBN: (纸本)9781467374439

We focus our attention on the effectiveness of punishing defectors in the evolution of cooperation in rational populations within the threshold public goods game models. We establish two scenarios: defectors will suffer possible punishment whether the game succeeds or not, and defectors will incur punishment only when game fails. A key observation of this paper is that given this assumption, punishing free riders can significantly influence the evolution outcomes, and the results are driven by the specific components of the punishing rule. Particularly, probably punishing defectors always, not only when game fails,can be more effective for maintaining public cooperation and leads to higher total contributions. Intriguingly when defectors face punishment only when game fails, the spread and domination of cooperators can not be ensured even by sufficiently large punishment, which already brings payoff advantages of defectors over cooperators. Further, cooperators are best supported by the large punishment on defectors, and then dominate and stabilize in the population, under the premise that defectors always incur punishment regardless of whether the game ends successfully or not. We hope this work provides some intriguing hints or insights on investigating the collective behaviors by the aid of punishment mechanism.

关键词： Cooperation,Evolutionary Game Theory,Public Goods Game

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Probabilistic punishment on free riders in threshold public goods games 34

Probabilistic punishment on free riders in threshold public ...

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34th Chinese Control Conference, CCC 2015

作者： Chunyan, Zhang Zhongxin, Liu Qinglin, Sun Zengqiang, Chen Department of Automation Computer and Control Engineering Nankai University Tianjin China Tianjin Key Laboratory of Intelligent Robotics Computer and Control Engineering Nankai University Tianjin China

ISBN: (纸本)9789881563897

We focus our attention on the effectiveness of punishing defectors in the evolution of cooperation in rational populations within the threshold public goods game models. We establish two scenarios: defectors will suffer possible punishment whether the game succeeds or not, and defectors will incur punishment only when game fails. A key observation of this paper is that given this assumption, punishing free riders can significantly influence the evolution outcomes, and the results are driven by the specific components of the punishing rule. Particularly, probably punishing defectors always, not only when game fails, can be more effective for maintaining public cooperation and leads to higher total contributions. Intriguingly when defectors face punishment only when game fails, the spread and domination of cooperators can not be ensured even by sufficiently large punishment, which already brings payoff advantages of defectors over cooperators. Further, cooperators are best supported by the large punishment on defectors, and then dominate and stabilize in the population, under the premise that defectors always incur punishment regardless of whether the game ends successfully or not. We hope this work provides some intriguing hints or insights on investigating the collective behaviors by the aid of punishment mechanism. © 2015 Technical Committee on Control Theory, Chinese Association of automation.

关键词： Cooperation Evolutionary Game Theory Public Goods Game

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Linearized PID control in a nonlinear model of an active hydromagnetic journal bearing

Linearized PID control in a nonlinear model of an active hyd...

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作者： Farmakopoulos, Michael G Thanou, Michalis D Nikolakopoulos, Pantelis G Papadopoulos, Chris A Tzes, Anthony P Machine Design Laboratory Department of Mechanical Engineering and Aeronautics University of Patras Patras26504 Greece Automation and Robotics Laboratory Electrical and Computer Engineering Department University of Patras Patras Greece

A proportional-integral-derivative (PID) control model of an active hydromagnetic journal bearing (AHJB) is presented here and its design guidelines are explicitly described. The nonlinear rotor equations of motion, is introduced. Then, the linearization of these equations in the bearing specific equilibrium point is performed and presented along with the appropriate PID gains. Consequentially, the linear equation is transformed via Laplace method and the control model of the AHJB is finally developed. The multiphysics module of Ansys is used to calculate the forces that the hydrodynamic lubrication applies to the rotor, in every position of the rotor, during its movement inside the bearing. This has been done, in order not to have linear equations of the hydrodynamic forces, but the real, nonlinear equations. The nonlinear equations are used for the electromagnetic forces too. The Matlab software is used to simulate the components that the AHJB is consisted of. The P, I, and D gains are the obtained results of this simulations, which are produced via robust control method, in single-input-single-output tool module. Finally, the Simulink module of Matlab is energized to check the control characteristics of the developed AHJB system, taking into account the nonlinear equations of motion of the system, in combination with the rotor unbalance and gyroscopic effects and the saturation of the coils. The rotor response, the overshoot, the rotor center vibration are controlled using the above produced P, I, and D gains. Several plots are constructed and presented, such as the rotor orbits, to show the possibility of the AHJB control. © 2014 IMechE.

关键词： Simulink

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A Continuous Second-Order Sliding Mode Guidance against Highly Maneuverable Targets

A Continuous Second-Order Sliding Mode Guidance against High...

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The Society of Instrument and Control Engineers Annual Conference 2015

作者： WANG Yongkun LIU Zhongxin SUN Mingwei CHEN Zengqiang Department of Automation Nankai University Tianjin Key Laboratory of Intelligent Robotics College of Computer and Control Engineering Nankai University

ISBN: (纸本)9784907764487

Conventional proportional navigation or augmented proportional navigation guidance laws are widely used for intercepting maneuverable targets;however, they are effective only in intercepting a target with a constant velocity or a known acceleration. In this paper, a continuous second-order sliding mode guidance law is designed to intercept a highly maneuverable target in connection with the super-twisting algorithm. Meanwhile, the target maneuver information, regarded as unpredictable disturbance, is coped with by an extended state observer(ESO) and then is compensated in the guidance law. In the proposed guidance scheme, no information about target motion is needed. The closed-loop error can be guaranteed to be bounded by using Lyapunov method. The simulation results demonstrate the effectiveness and robustness of the proposed guidance method against a highly maneuverable target.

关键词： guidance law second-order sliding mode super-twisting algorithm extended state observer target maneuver

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A New Mathematical Modelling Approach for Viticulture and Winemaking Using Fuzzy Cognitive Maps

A New Mathematical Modelling Approach for Viticulture and Wi...

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关键词： Wine

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A continuous second-order sliding mode guidance against highly maneuverable targets 54

A continuous second-order sliding mode guidance against high...

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54th Annual Conference of the Society of Instrument and Control Engineers of Japan, SICE 2015

作者： Yongkun, Wang Zhongxin, Liu Mingwei, Sun Zengqiang, Chen Department of Automation Nankai University Tianjin300071 China Tianjin Key Laboratory of Intelligent Robotics College of Computer and Control Engineering Nankai University Tianjin300071 China

ISBN: (纸本)9784907764487

Conventional proportional navigation or augmented proportional navigation guidance laws are widely used for intercepting maneuverable targets;however, they are effective only in intercepting a target with a constant velocity or a known acceleration. In this paper, a continuous second-order sliding mode guidance law is designed to intercept a highly maneuverable target in connection with the super-twisting algorithm. Meanwhile, the target maneuver information, regarded as unpredictable disturbance, is coped with by an extended state observer (ESO) and then is compensated in the guidance law. In the proposed guidance scheme, no information about target motion is needed. The closed-loop error can be guaranteed to be bounded by using Lyapunov method. The simulation results demonstrate the effectiveness and robustness of the proposed guidance method against a highly maneuverable target. © 2015 The Society of Instrument and Control Engineers-SICE.

关键词： Lyapunov methods

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Imaging and mapping individual target proteins on clinical lymphoma cells by AFM 9

Imaging and mapping individual target proteins on clinical l...

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9th IEEE International Conference on Nano/Molecular Medicine and engineering, NANOMED 2015

作者： Li, Mi Liu, Lianqing Xi, Ning Wang, Yuechao Wang, Wenxue State Key Laboratory of Robotics Shenyang Institute of Automation Chinese Academy of Sciences Shenyang110016 China Department of Electrical and Computer Engineering Michigan State University East LansingMI48824 United States

ISBN: (纸本)9781467396714

The wide applications of atomic force microscopy (AFM) in the past decade have contributed much to the field of cell biology, providing a lot of novel insights into cellular behaviors at the nanoscale. However, current AFM studies are commonly performed on cell lines cultured in vitro which are quite different from the cells in the human body. Directly investigating the physiological activities on tumor cells from clinical patients is of great significance for helping us to better understand the actual cellular activities taking place in the clinical environment. Under the fluorescence recognition of specific tumor cell surface marker, we have used AFM to investigate the binding affinity and nanoscale distributions of CD20 target protein directly on tumor cells prepared from the bone marrow of lymphoma patients. The results provide a new idea to develop closer links between laboratory study and clinical practice, which may have potential impacts on diverse fields such as drug evaluation and efficacy prediction. © 2015 IEEE.

关键词： Atomic force microscopy

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