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Communications in computer and Information science 2015年 521卷 437-447页

作者： Lupa, Michal Chuchro, Monika Piórkowski, Adam Pięta, Anna Leśniak, Andrzej Department of Geoinformatics and Applied Computer Science AGH University of Science and Technology al. Mickiewicza 30 Cracow30-059 Poland

ISBN: (纸本)9783319184210

One of the important features of data analysis methods in the area of continuous surveillance systems is a computation time. This article contains a research that is focused on improving the performance of processing by the most efficient possible indexation of spatial data. The authors proposed a structure of indexes implementation based on layered grouping of sensors, so as to reduce the amount of data in time windows. This allows to compare data at the layer-layer level, thereby reducing the problem of comparisons between all sensors. © Springer International Publishing Switzerland 2015.

关键词： Sensor networks

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The efficiency of the code parallelization in multi core environment on the basis of image processing in 3D space

Lecture Notes in Electrical Engineering

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Lecture Notes in Electrical Engineering 2015年 312卷 361-364页

作者： Oleszko, Krzysztof Department of Geoinformatics and Applied Computer Science AGH University of Science and Technology al. A. Mickiewicza 30 Krakow30-059 Poland

Grains parameters like volume, surface area or shape factor are important in geological issues connected with rocks and coal mining. For quick and efficient way to calculate that parameters are use some complicated algorithms which are based on source data written in flat 2D images. Almost always raw images need to be filtered and always need to be transformed into 3D images and process in 3D space to obtain reliable results. Even if algorithms which can do that operations are run on efficient computers, operations performed in 3D space consumes a lot of processing time. Authors made attempt of parallelization procedures performed in 3D space to improve efficiency on computers equipped in widely used, multi core processors and presents results. © Springer International Publishing Switzerland 2015.

关键词： Efficiency

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Deterministic Control of the Scalable High Performance Distributed Computations

Communications in Computer and Information Science

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Communications in computer and Information science 2014年 431卷 253-264页

作者： Onderka, Zdzislaw Dept. of Geoinformatics and Applied Computer Science AGH University of Science and Technology Krakow Poland

ISBN: (纸本)9783319079400

The paper presents the description of deterministic policies for distribution tasks of scalable high performance applications computed in the distributed environment. The model of dynamic behavior of state of background load for the computers in the network was used (described in [1]). The analysis of execution time of the set of identical tasks of the master-slave application was described. Two problems of static policy of task distribution was discused, first for selecting the optimal subset of machines and the second one for the choice of optimal partition of the set of tasks. For the second problem of static policy the algorithm of task distribution was presented based on the proven property © Springer International Publishing Switzerland 2014.

关键词： computers

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Analysis of Performance and Optimization of Point Cloud Conversion in Spatial Databases

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IOP Conference Series: Earth and Environmental science 2016年第5期44卷

作者： Aleksandra Chrόszcz Piotr Łukasik Michał Lupa AGH University of Science and Technology Faculty of Geology Geophysics and Environmental Protection Department of Geoinformatics and Applied Computer Science al. Mickiewicza 30 30-059 Kraków Poland

This article compares popular relational database management systems and one nonrelational database in the context of storage of cloud points from LIDAR. The authors examine the efficient storage of cloud points in the database and optimization of query execution time. Additionally, there is also a comparison of the impact of SSD and traditional HDD technology on the time taken to perform operations on a point cloud.

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Author Correction: The FLUXNET2015 dataset and the ONEFlux processing pipeline for eddy covariance data

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Scientific data 2021年第1期8卷 72页

作者： Gilberto Pastorello Carlo Trotta Eleonora Canfora Housen Chu Danielle Christianson You-Wei Cheah Cristina Poindexter Jiquan Chen Abdelrahman Elbashandy Marty Humphrey Peter Isaac Diego Polidori Markus Reichstein Alessio Ribeca Catharine van Ingen Nicolas Vuichard Leiming Zhang Brian Amiro Christof Ammann M Altaf Arain Jonas Ardö Timothy Arkebauer Stefan K Arndt Nicola Arriga Marc Aubinet Mika Aurela Dennis Baldocchi Alan Barr Eric Beamesderfer Luca Belelli Marchesini Onil Bergeron Jason Beringer Christian Bernhofer Daniel Berveiller Dave Billesbach Thomas Andrew Black Peter D Blanken Gil Bohrer Julia Boike Paul V Bolstad Damien Bonal Jean-Marc Bonnefond David R Bowling Rosvel Bracho Jason Brodeur Christian Brümmer Nina Buchmann Benoit Burban Sean P Burns Pauline Buysse Peter Cale Mauro Cavagna Pierre Cellier Shiping Chen Isaac Chini Torben R Christensen James Cleverly Alessio Collalti Claudia Consalvo Bruce D Cook David Cook Carole Coursolle Edoardo Cremonese Peter S Curtis Ettore D'Andrea Humberto da Rocha Xiaoqin Dai Kenneth J Davis Bruno De Cinti Agnes de Grandcourt Anne De Ligne Raimundo C De Oliveira Nicolas Delpierre Ankur R Desai Carlos Marcelo Di Bella Paul di Tommasi Han Dolman Francisco Domingo Gang Dong Sabina Dore Pierpaolo Duce Eric Dufrêne Allison Dunn Jiří Dušek Derek Eamus Uwe Eichelmann Hatim Abdalla M ElKhidir Werner Eugster Cacilia M Ewenz Brent Ewers Daniela Famulari Silvano Fares Iris Feigenwinter Andrew Feitz Rasmus Fensholt Gianluca Filippa Marc Fischer John Frank Marta Galvagno Mana Gharun Damiano Gianelle Bert Gielen Beniamino Gioli Anatoly Gitelson Ignacio Goded Mathias Goeckede Allen H Goldstein Christopher M Gough Michael L Goulden Alexander Graf Anne Griebel Carsten Gruening Thomas Grünwald Albin Hammerle Shijie Han Xingguo Han Birger Ulf Hansen Chad Hanson Juha Hatakka Yongtao He Markus Hehn Bernard Heinesch Nina Hinko-Najera Lukas Hörtnagl Lindsay Hutley Andreas Ibrom Hiroki Ikawa Marcin Jackowicz-Korczynski Dalibor Janouš Wilma Jans Rachhpal Jassal Shicheng Jiang Tomomichi Kato Myr Computational Research Division Lawrence Berkeley National Laboratory Berkeley CA 94720 USA. gzpastorello@lbl.gov. DIBAF University of Tuscia Viterbo 01100 Italy. Euro-Mediterranean Centre on Climate Change Foundation (CMCC) Lecce 73100 Italy. Climate & Ecosystem Sciences Division Lawrence Berkeley National Laboratory Berkeley CA 94720 USA. Computational Research Division Lawrence Berkeley National Laboratory Berkeley CA 94720 USA. Department of Civil Engineering California State University Sacramento CA 95819 USA. Department of Geography Environment and Spatial Sciences Michigan State University East Lansing MI 48823 USA. Department of Computer Science University of Virginia Charlottesville VA 22904 USA. TERN Ecosystem Processes Menzies Creek VIC3159 Australia. Max Planck Institute for Biogeochemistry Jena 07701 Germany. Laboratoire des Sciences du Climat et de l'Environnement (LSCE) CEA CNRS UVSQ UPSACLAY Gif sur Yvette 91190 France. Key Laboratory of Ecosystem Network Observation and Modeling Institute of Geographic Sciences and Natural Resources Research Chinese Academy of Sciences Beijing 100101 China. Department of Soil Science University of Manitoba Winnipeg MB R3T2N2 Canada. Department of Agroecology and Environment Agroscope Research Institute Zürich 8046 Switzerland. School of Geography and Earth Sciences McMaster University L8S4K1 Hamilton ON Canada. Department of Physical Geography and Ecosystem Science Lund University Lund 22362 Sweden. Department of Agronomy and Horticulture University of Nebraska-Lincoln Lincoln NE 68583 USA. School of Ecosystem and Forest Sciences The University of Melbourne Richmond VIC3121 Australia. Department of Biology Research Group PLECO University of Antwerp Antwerp 2610 Belgium. Joint Research Centre European Commission Ispra 21027 Italy. TERRA Teaching and Research Center University of Liege Gembloux B-5030 Belgium. Finnish Meteorological Institute Helsinki 00560 Finland. ES

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Control and evaluation using a parallel robot

Control and evaluation using a parallel robot

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作者： Chen, Ko-Chun Cheng, Yuh-Ming Department of Applied Geoinformatics Chia Nan University of Pharmacy and Science Taiwan Department of Computer Science and Information Engineering Shu Te University Taiwan

This article focuses mainly on the parallel manipulator controller design and application of virtual reality technology. Compared to traditional in-line body of parallel mechanism with high precision, high rigidity, width bandwidth and able to load characteristics, such as, in recent years has gradually been applied to robots. Space vector view derivation of parallel mechanism kinematics and inverse kinematics, and speed through the program find the Jacobian matrix, and find the location singular points. Virtual reality (VR) is the main purpose of using the man-machine interface and the interaction between robots. Through human intelligence and sensing device can control in real time to complete complex, heavy or high risk job robot.

关键词： Inverse kinematics

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The Impact of Geometrical Objects Generalization on the Query Execution Efficiency in Spatial Databases

The Impact of Geometrical Objects Generalization on the Quer...

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作者： Lupa, Michal Piórkowski, Adam Department of Geoinformatics and Applied Computer Science AGH University of Science and Technology al. A. Mickiewicza 30 30-059 Kraków Poland

ISBN: (纸本)9783319069319

This paper presents the problem of geometrical objects generalization in relation to the geospatial queries efficiency. Authors in their research focused on a qualitative assessment of data, which are derived from the lossy generalization processes. Furthermore, they also attempted to determine the critical level of profitability of lossy generalization. There was also examined a correlation between the reduction of data details by removing vertices and a geospatial query execution speed. © Springer International Publishing Switzerland 2014.

关键词： Efficiency

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Compression of synthetic-aperture radar images

Lecture Notes in Computer Science (including subseries Lectu...

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Lecture Notes in computer science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 2014年 8888卷 92-99页

作者： Bielecka, Marzena Bielecki, Andrzej Wojdanowski, Wojciech AGH University of Science and Technology Geophysics and Environmental Protection Chair of Geoinformatics and Applied Computer Science Al. Mickiewicza 30 Kraków30-059 Poland AGH University of Science and Technology Al. Mickiewicza 30 Kraków30-059 Poland IBM SWG Lab Kraków Poland

In this paper the problem of the synthetic-aperture radar images compression is considered. The algorithm of canonical coherent scatterers identification, proposed in [1, 2], based on the analysis of polarimetric signatures, is the starting point of the studies. The question whether the significant dimension reduction of the SAR image matrix preserves the information encoded in the SAR picture or not, is the topic of the paper. It turns out that the compression, by using the Kohonen neural network, allows us to reduce the dimension of the data from 16200-component vector to 100-component vector without losing information. The studies are led in the context of polarimetric data that encode full information about the scatterer. However, there are essential problems with such data processing. Therefore the topic is crucial in the context of the SAR images analysis. © Springer International Publishing Switzerland 2014.

关键词： Synthetic aperture radar

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The Extended Structure of Multi-Resolution Database

The Extended Structure of Multi-Resolution Database

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作者： Koziol, Krystian Lupa, Michal Krawczyk, Artur Department of Geomatics AGH University of Science and Technology al. A. Mickiewicza 30 30-059 Kraków Poland Department of Geoinformatics and Applied Computer Science AGH University of Science and Technology al. A. Mickiewicza 30 30-059 Kraków Poland Department of Mine Areas Protection Geoinformatics and Mine Surveying AGH University of Science and Technology al. A. Mickiewicza 30 30-059 Kraków Poland

ISBN: (纸本)9783319069319

The aim of the paper is to show how to extend the database of topographic objects for the purposes of automatic data generalization. Generalization is performed basing on topographic databases, that exist in various scales (BDOT10K - scale 1:10 000, BDOO - general geographic objects database 1:100000). Under the law, these databases are fundamental source of information about the spatial location and characteristics of topographic objects in Poland. BDOT is a multi-resolution database, which is fed by the objects with varying degrees of details and accuracy, depending on the data source. It is also assumed that the BDOT will be a source of data for the editorial of standard cartographic studies for various scales. Objects for a given scale are obtained by the generalization processes, which allow to generate less detailed data (for example, in a scale of 1:50 000) from the reference dataset (scale 1:10 000). The authors have proposed the structure of MRDB system, which assumes the existence of Web Generalization Services (WGS). These services can provide a remote access to simplification algorithms and the data generalization "on the fly" [5,4]. It can significantly reduce the process of data producing through automation of the manual work, resulting in a significant optimization of the database at the level of its power. Therefore, we can observe the optimization of the work with databases, already at the level of their feeding. © Springer International Publishing Switzerland 2014.

关键词： Geographic information systems

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9 Million Bicycles? Extending Induction Loops with Bluetooth Sensing

9 Million Bicycles? Extending Induction Loops with Bluetooth...

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International Conference on Mobile Data Management

作者： Stephan Jansen Dennis Höting Jens Runge Thomas Brinkhoff Daniela Nicklas Jürgen Sauer OFFIS Institute for Computer Science Oldenburg Germany Universität Oldenburg Oldenburg Germany Jade University Oldenburg Institute for Applied Photogrammetry and Geoinformatics Oldenburg Germany University Bamberg Bamberg Germany

Smart urban spaces need traffic information beyond traditional vehicular traffic. Detailed data about bicycle traffic in a city is highly valuable to adapt traffic lights, plan traffic routes, or provide information about situational travel times. However, traditional induction loops do not work well for bikes, and they cannot give information about routes and travel times. This paper shows how infrastructure data (induction loops) and data from Bluetooth sensing can be fused to derive better information about bicycle traffic in a smart city. We present a novel approach to dynamically determine Bluetooth ratios of different traffic participants based on rare events, and we evaluate the approach with data from a real-world study with 97 registered users, 23,074 Bluetooth devices and more than 174,917 Bluetooth detections over one week in the City of Oldenburg.

关键词： Bluetooth Bicycles Sensors Cities and towns Monitoring Atmospheric measurements

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