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Mapping tree cover in European cities: comparison of classification algorithms for an operational production framework

Mapping tree cover in European cities: comparison of classif...

引用

Joint Urban Remote Sensing Event

作者： Lefebvre, Antoine Picand, Pierre-Antoine Sannier, Christophe SIRS Parc Cimaise Villeneuve Dascq France

ISBN: (纸本)9781479966523

In the framework of the Urban Atlas 2012 production, this paper investigated a set of generative models (Maximum likelihood, k-means) and discriminative models (k Nearest Neighbors, Support Vector Machine and Neural Network) to extract urban-tree cover at a European scale. Based on SPOT-5 images and a training on a large coarse resolution dataset, this study tested the performance of these algorithms on 3 cities regarding their geographical location, urban morphology and acquisition dates. Result reveals that discriminative models are more robust than generative ones. It shows that overall accuracy varies from 75% for the k-means classifier to 85% for the neural network. It also shows that neural networks provide the most balanced results (ratio between commission and omission errors) leading to be most suitable algorithm to process different cities with heterogeneous data.

关键词： Canopies Neural network city sorting algorithm Frameworks

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State Estimation for Switched linear systems 12

State Estimation for Switched linear systems

引用

International Multi-Conference on Systems, Signals and Devices (SSD)

作者： Sellami, Lamaa Abderrahim, Kamel Univ Gabes Res Unit Numer Control Ind Proc Natl Engn Sch Gabes Gabes 6029 Tunisia

ISBN: (纸本)9781479917587

In this paper, we address the problem of state estimation of linear switched discrete time models from a finite set of input-output data. This is a challenging problem since it requires estimating the active discrete state and its continuous observer. In fact, we propose a hybrid state observer design which consists of two stages. The first allows to determine the active discrete state using a classification algorithm that associated the current data to its appropriate submodel. The second stage is used to estimate the corresponding continuous observer. Simulation results are presented to illustrate the performance of the proposed method.

关键词： State estimation Linear system sorting algorithm Current data input/output data submodel

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A Detailed Power Loss Analysis of Modular Multilevel Converter 30

A Detailed Power Loss Analysis of Modular Multilevel Convert...

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30th Annual IEEE Applied Power Electronics Conference and Exposition (APEC)

作者： Erturk, Feyzullah Hava, Ahmet M. Middle E Tech Univ Elect & Elect Engn Dept TR-06531 Ankara Turkey

ISBN: (纸本)9781479967353

This paper thoroughly examines the semiconductor power loss characteristics of modular multilevel converters (MMC). Power loss behavior is examined under different pulse width modulation (PWM) methods and operating conditions. The effects of stored energy level, circulating current control utilization, power factor and submodule voltage balancing method on power loss are studied. Furthermore, unbalanced power losses and specific semiconductor stresses within a submodule are visualized by investigating the loss distribution in a submodule. The paper aids in understanding and design of MMC converter modules, selecting PWM and control methods with power loss perspective.

关键词： modular multilevel converter phase disposition (PD) PWM phase shift PWM power loss sorting algorithm

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Increasing Flexibility of Time Triggered Ethernet based Systems by Optimal Greedy Scheduling Approach 20

Increasing Flexibility of Time Triggered Ethernet based Syst...

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20th IEEE Conference on Emerging Technologies and Factory Automation (ETFA)

作者： Wisniewski, Lukasz Schumacher, Markus Jasperneite, Juergen Diedrich, Christian Ostwestfalen Lippe Univ Appl Sci inIT Inst Ind IT D-32657 Lemgo Germany Fraunhofer IOSB INA Applicat Ctr Ind Automat D-32657 Lemgo Germany Univ Magdeburg Inst Automat Technol D-39106 Magdeburg Germany

ISBN: (纸本)9781467379298

Many aspects have to be considered while achieving flexibility of production systems. One of them is flexible communication system that on one hand fulfils requirements of a particular industrial application and on the other hand allows integration of new network components optimally in a seamless way. In this paper, an approach to increase, rather static, Time Triggered Ethernet based systems is proposed. It is based on a greedy scheduling approach that can be implemented directly in a processing limited hardware such as IO Controller. This, together with the discovery and auto configuration mechanism proposed in Ill allows to shift the engineering process typically performed offline using engineering tool to the field level. Furthermore, it has been proven that the proposed scheduling approach is not only simple but also powerful. It is able to calculate an optimal schedule for any kind of tree graph and the complexity of the algorithm is defined by the complexity of the used sorting algorithm.

关键词： Tree graphs Ethernet networks greedy method sorting algorithm Engineering tools Network components field level IO Flexibility

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Facebook User's Like Behavior Can Reveal Personality 7

Facebook User's Like Behavior Can Reveal Personality

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2015 7th Conference on Information and Knowledge Technology (IKT)

作者： Ghavami, Seyed Morteza Asadpour, Masoud Hatami, Javad Mahdavi, Mohammad Univ Tehran Sch Elect & Comp Engn Tehran Iran Univ Tehran Dept Psychol Tehran Iran

ISBN: (纸本)9781467374859

Personality is an important factor that affects human's behavior. In recent years attraction towards online social networks has increased tremendously. Due to its unique features social networks are very suitable platforms for psychological analysis. By investigating 65 facebook users which participated in this research, correlation between personality traits and user liking behavior was observed. Classification algorithms were applied to classify personality traits based on user liking activity. Among classifiers, the SVM classifier outperforms other classifiers in most traits.

关键词： Personality personality trait Social Networks Social Media Facebook sorting algorithm Classifiers Affection Consumers

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Automatic Design algorithm of a Robotic End-Effector for a set of Sheet-Metal Parts 7

Automatic Design Algorithm of a Robotic End-Effector for a s...

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Proceedings of the 2015 7th IEEE International Conference on Cybernetics and Intelligent Systems (CIS) And Robotics, Automation and Mechatronics (RAM)

作者： Sintov, Avishai Shapiro, Amir Ben Gurion Univ Negev Dept Mech Engn IL-84105 Beer Sheva Israel

ISBN: (纸本)9781467373388

Robotic end-effectors in automated production lines are specially designed and built for a unique task and for a particular part. An end-effector capable of grasping different parts with different geometries will expand its benefit and reduce costs. This work focuses on the grasp of sheet metal parts for the automotive industry. In order to maximize the use of a single end-effector, this paper proposes a search algorithm for a simple common grasp configuration. Such configuration imply for an end-effector design capable of grasping a set of sheet metal parts. The algorithm maps possible grasps which are candidate to be common. We define a novel quality measure estimating the distribution of the contacts across the sheet metal part. Candidate grasps which have a sufficient quality are mapped into high-dimensional feature vectors. These feature vectors parameterize the geometry of the polyhedron formed by the contacts locations and the direction of the surface normals relative to the polyhedron. Thereby, they describe the design of the end-effector compatible to the grasp. A database is generated for all possible grasps for each part in the feature vector space. A similarity join based on nearest-neighbor search and classification algorithm are used for intersecting all possible feature vectors over all sheet metal parts and finding common ones. Simulations of a 3-finger grasp on four meshed sheet metal parts resulted in a common grasp. Results of the simulations validate the feasibility of the proposed algorithm.

关键词： Sheet metal components Grasp Eigenvector end effectors polyhedrons Nearest neighbor query surface normal SEARCHING algorithm Computer-Aided Design Design algorithm metal parts sorting algorithm

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Entropy Chain Multi-Label Classifiers for Traditional Medicine Diagnosing Parkinson's Disease

Entropy Chain Multi-Label Classifiers for Traditional Medici...

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IEEE International Conference on Bioinformatics and Biomedicine

作者： Peng, Yue Fang, Ming Wang, Chongjun Xie, Junyuan Nanjing Univ Dept Comp Sci & Technol Natl Key Lab Novel Software Technol Nanjing 210008 Jiangsu Peoples R China

ISBN: (纸本)9781467367981

Parkinson disease is a chronic, degenerative disease of the central nervous system, which commonly occurs in the elderly. Until now, no treatment has shown efficacy. Traditional Chinese Medicine is a new way for Parkinson, and the data of Chinese Medicine for Parkinson is a multi -label dataset. Classifier Chains(CC) is a popular multi -label classified algorithm, this algorithm considers the relativity between labels, and contains the high efficiency of Binary classification algorithm at the same time. But CC algorithm does not indicate how to obtain the predicted order chain actually, while more emphasizes the randomness or artificially specified. In this paper, we try to apply Multi -label classification technology to build a model of Chinese Medicine for Parkinson, which we hope to improve this field. We propose a new algorithm ETCC based on CC model. This algorithm can optimize the order chain on global perspective and have a better result than the algorithm CC.

关键词： Biology Biomedical imaging Integrated circuits Senior citizens aged person senior citizen Biomedical imaging Parkinson Disease Degenerative Diseases, Central Nervous System Chinese medicine Biological Science Disciplines biology Integrated circuits Electronic circuits Classifiers sorting algorithm

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Multi-sensor and multi-platform data fusion for buried objects detection and localization 9

Multi-sensor and multi-platform data fusion for buried objec...

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9th IEEE International Conference on Autonomous Robot Systems and Competitions (ICARSC)

作者： Prado, Jose Marques, Lino Univ Coimbra Inst Syst & Robot Dept Elect & Comp Engn P-3030290 Coimbra Portugal

ISBN: (纸本)9781467369916

This paper describes a multi-sensor data-fusion approach to detect and localize landmines and unexploded ordnances (UXO) in a field using multiple mobile sensor carriers covering the area of interest. A procedure for high-accuracy geo-referencing the field-data acquired by multiple platforms is proposed. Later, the geo-referenced sensor data is fused by a multi-step algorithm consisting on the detection of heterogeneities corresponding to objects followed by the classification of those objects through a decision-level fusion. The proposed approach was tested and validated in a military field containing more than twenty different objects buried on the ground, using two different metal detector (MD) arrays and one ground penetrating radar (GPR) array. Although the preliminary results can be considered encouraging, since it was possible to detect and classify all the buried objects, further tests are necessary in terms of classification, since the classification algorithm was trained with data collected previously from the same soil.

关键词： Bayesian classification Field robotics Multi-sensor data fusion Robotics demining multi-sensor data fusion multi sensor Buried object detection underground sorting algorithm platform-independent Sensor Data ANTITANK MINES Data fusion data integration ground penetrating radar

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Association Rules Mining with Categories and Regular Expressions based Pruning 11

Association Rules Mining with Categories and Regular Express...

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11th IEEE International Conference on Intelligent Computer Communication and Processing (ICCP)

作者： Slavescu, Radu Razvan Persa, Raul Alexandru Slavescu, Kinga Cristina Tech Univ Cluj Napoca Dept Comp Sci Baritiu 28 RO-400027 Cluj Napoca Romania Iuliu Hatieganu Univ Med & Pharm Pediat Clin 2 RO-400027 Cluj Napoca Romania

ISBN: (纸本)9781467382007

We present an extended version of the well known Apriori algorithm used for mining association rules. Its novelty consists in employing regular expressions in order to specify the form of the rules intended to be generated. These are further used for pruning in the rule generation step, thus speeding up the process. We show that the new version of the algorithm was used for generating medical hypotheses for some problems in the field without risking to loose generality.

关键词： data mining Apriori algorithm association rules mining expressions based pruning Association rules Classification algorithms Correlation Diseases Itemsets Yttrium Association rules Itemsets sorting algorithm Rare earths yttrium data mining tree surgery maladjustment mining learning (artificial intelligence) Information Extraction

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Classification with a reject option under Concept Drift: the Droplets algorithm

Classification with a reject option under Concept Drift: the...

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Proceedings of the 2015 IEEE International Conference on Data Science and Advanced Analytics (IEEE DSAA 2015)

作者： Loeffel, Pierre-Xavier Marsala, Christophe Detyniecki, Marcin UPMC Univ Paris 06 Sorbonne Univ CNRS LIP6 UMR 7606 4 Pl Jussieu F-75005 Paris France Polish Acad Sci IBS PAN Warsaw Poland

ISBN: (纸本)9781467382731

In this paper a new on-line algorithm is proposed (the Droplets algorithm) for dealing with concept drifts and to produce reliable predictions. The two main characteristics of this algorithm are that it is able to adapt to different types of drifts without making any assumptions regarding their type or when they occur, and can provide reliable predictions in a non-stationary environment without using a fixed confidence threshold. Experimental results on five datasets based on Random RBF and Rotating Hyperplane generators as well as a new semi-synthetic dataset based weather temperatures show that, by discarding difficult observations, the Droplets algorithm manages to obtain the best average accuracy against ten classifiers. The results also indicate that the algorithm manages to provide reliable prediction by accurately distinguishing which observations are easily classifiable.

关键词： algorithm design and analysis Bagging Classification algorithms Indexes Machine learning algorithms Prediction algorithms Reliability algorithm design and analysis Machine learning algorithms Prediction algorithms sorting algorithm Concept Drift bagging PURSE Confidence Threshold droplets

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