355 resources related to Spatial indexes
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The conference program will consist of plenary lectures, symposia, workshops and invitedsessions of the latest significant findings and developments in all the major fields of biomedical engineering.Submitted full papers will be peer reviewed. Accepted high quality papers will be presented in oral and poster sessions,will appear in the Conference Proceedings and will be indexed in PubMed/MEDLINE.
This symposium pertains to the field of electromagnetic compatibility.
The ICASSP meeting is the world's largest and most comprehensive technical conference focused on signal processing and its applications. The conference will feature world-class speakers, tutorials, exhibits, and over 50 lecture and poster sessions.
All fields of satellite, airborne and ground remote sensing.
2019 IEEE International Symposium on Information Theory (ISIT)
Information theory and coding theory and their applications in communications and storage, data compression, wireless communications and networks, cryptography and security, information theory and statistics, detection and estimation, signal processing, big data analytics, pattern recognition and learning, compressive sensing and sparsity, complexity and computation theory, Shannon theory, quantum information and coding theory, emerging applications of information theory, information theory in biology.
Broad coverage of concepts and methods of the physical and engineering sciences applied in biology and medicine, ranging from formalized mathematical theory through experimental science and technological development to practical clinical applications.
Broadcast technology, including devices, equipment, techniques, and systems related to broadcast technology, including the production, distribution, transmission, and propagation aspects.
Video A/D and D/A, display technology, image analysis and processing, video signal characterization and representation, video compression techniques and signal processing, multidimensional filters and transforms, analog video signal processing, neural networks for video applications, nonlinear video signal processing, video storage and retrieval, computer vision, packet video, high-speed real-time circuits, VLSI architecture and implementation for video technology, multiprocessor systems--hardware and software-- ...
Part I will now contain regular papers focusing on all matters related to fundamental theory, applications, analog and digital signal processing. Part II will report on the latest significant results across all of these topic areas.
Covers topics in the scope of IEEE Transactions on Communications but in the form of very brief publication (maximum of 6column lengths, including all diagrams and tables.)
2009 International Conference on Information Engineering and Computer Science, 2009
Based on the study of XML documents storage in Oracle XML DB, this paper conducts a research on extending Oracle XML DB to store and manage GML documents. Meanwhile, owing to the defects that the XML DB cannot support the spatial index, an external R-Tree index is added to Oracle database to improve the efficiency of GML spatial query and ...
Proceedings 19th International Conference on Data Engineering (Cat. No.03CH37405), 2003
2009 First International Conference on Information Science and Engineering, 2009
The performance of retrieval and query of massive spatial data has been a bottleneck in GIS applications. Calculation and determination of the grid cell size is the key to grid index technology which generates obvious effects on improving query performance on large-scale geographic database. This paper studies how the grid cell size impacts on grid index performance indicators through a ...
2011 19th International Conference on Geoinformatics, 2011
Because of low processing speed of CPU and small memory space, time efficiency of portable hardware, where Mobile GIS is running, is low when processing the mass data. A variety of plans, which can improve the time efficiency of rendering the mass data by application software at user side of Mobile GIS, were studied in terms of development language selection, ...
2009 International Conference on Computational Intelligence and Natural Computing, 2009
The interval and the density valve are need to input in traditional clustering methods that based on grid and density method, result in unsmoothed cluster, wrong judgment of clustering boundary. A clustering approach was proposed, which can confirm the interval and the number of clustering, reasonable cluster the object and create the Hilbert R-tree using the result of clustering. Experiment ...
A 60GHz Packaged Switched Beam 32nm CMOS TRX with Broad Spatial Coverage, 17.1dBm Peak EIRP, 6.1dB NF at <250mW: RFIC Industry Showcase
A Bayesian Approach for Spatial Clustering - IEEE CIS Webinar
A 30-MHz-to-3-GHz CMOS Array Receiver with Frequency and Spatial Interference Filtering for Adaptive Antenna Systems: RFIC Industry Showcase
Imaging Human Brain Function with Simultaneous EEG-fMRI - IEEE Brain Workshop
Brooklyn 5G Summit 2014: Jonas Medbo on 5G Channel Modeling Challenges
Compressive Sensing Tutorial: A Game Changing Technology for Energy Efficient IoT Sensor Networks: WF-IoT 2016
Q&A with Bill Tonti: IEEE Digital Reality Podcast, Episode 6
Brooklyn 5G - 2015 - Ali M. Niknejad - Going the Distance with CMOS: mm-Waves and Beyond
2011 IEEE Awards Alexander Graham Bell Medal - Arogyaswami J. Paulraj
Wireless Power Transfer: APEC 2013 KeyTalk with Francesco Carobolante of Qualcomm
Q&A with Jack Gallant: IEEE Brain Podcast, Episode 11
Anticipating Human Activities for Reactive Robotic Response
IMS 2015: Eugene Lauria - John Tucker Special Tribute - ALMA Band 9 Receiver Design and Performance
Digital Neuromorphic Design of a Liquid State Machine for Real-Time Processing - Nicholas Soures: 2016 International Conference on Rebooting Computing
CASS Lecture by Dr. Chris Hull, "Millimeter-Wave Power Amplifiers in FinFET Technology"
Hyperdimensional Biosignal Processing: A Case Study for EMG-based Hand Gesture Recognition - Abbas Rahimi: 2016 International Conference on Rebooting Computing
ASC-2014 SQUIDs 50th Anniversary: 4 of 6 - Keiji Enpuku
Nanoscale Magnetism with Picosecond Time Resolution and High Sensitivity - Hendrik Ohldag - IEEE Magnetics Distinguished Lecture
Based on the study of XML documents storage in Oracle XML DB, this paper conducts a research on extending Oracle XML DB to store and manage GML documents. Meanwhile, owing to the defects that the XML DB cannot support the spatial index, an external R-Tree index is added to Oracle database to improve the efficiency of GML spatial query and operation. At the same time, with the help of NTS as well as with Oracle's own support XQuery, the spatial extension to XQuery in Oracle is proposed and implemented. Through the research of this paper, we provide a solution of GML database for GML storage, index and query.
The performance of retrieval and query of massive spatial data has been a bottleneck in GIS applications. Calculation and determination of the grid cell size is the key to grid index technology which generates obvious effects on improving query performance on large-scale geographic database. This paper studies how the grid cell size impacts on grid index performance indicators through a series of experiments. In essence, Partition Table and Partition Index is an abnormality of grid index which has large-scale grid cell. This article has combined the partition table and partition index with grid index through dividing the data by larger grid, thus each division forms an independent data storage partition and range query is converted into or limited to local query, consequently more effective multi-layered grid index has been created under the environment of huge amounts of data. Through experimental verification, testing results show that the combined index for the massive spatial data queries have obvious effects and can greatly improve the efficiency of spatial query.
Because of low processing speed of CPU and small memory space, time efficiency of portable hardware, where Mobile GIS is running, is low when processing the mass data. A variety of plans, which can improve the time efficiency of rendering the mass data by application software at user side of Mobile GIS, were studied in terms of development language selection, rendering process control, memory mapping, as well as special processing of different data formats. These technical plans were practiced in case studies based on the system platform of Windows Mobile and the development language of C++. Development strategies we got will improve the time efficiency of mass data rendering by Mobile GIS and make it easy to operate for users.
The interval and the density valve are need to input in traditional clustering methods that based on grid and density method, result in unsmoothed cluster, wrong judgment of clustering boundary. A clustering approach was proposed, which can confirm the interval and the number of clustering, reasonable cluster the object and create the Hilbert R-tree using the result of clustering. Experiment result shows that the method outperforms than tradition Hilbert R-tree index in building time and other aspect.
Presents a system which retrieves images on the basis of automatically generated indexes (i.e. semantic image representations, obtained by automatic image analysis, indicating the content of the images). The system consists of two parts: an off-line indexing part and an on-line image retrieval part. The indexing component is used to automatically generate semantic representations of images so that the image retrieval component can use this information to enable image retrieval. The man-machine communication of the image retrieval component is based on an iconical graphical query language to accomplish geographical query specification for image access. Experiments have been carried out on three different sets of images from the following domains: MRI images of the chest, electronic schemas and topographic maps. The experiments show encouraging results especially for domains which have a high degree of formality in their pictorial expression, such as electronic schemas and topographic maps, and to a less extent for domains having a weak degree of formality such as MRI images of the chest.<<ETX>>
Due to the problem of the excessive time complexity in multi-dimension data- processing based on density algorithm, this paper proposes a clustering algorithm based on n-tree spatial index structure, which can realize the quick judgment of adjacent units of any unit through the reasonable encoding to the segmented units. By adopting the pruning in n-tree generating process, this algorithm can effectively save the cost of CPU and I/O. Compared with DBSCAN algorithm by different dimensions experiments, this algorithm can largely increase the capacity of processing massive, high-dimension set.
Data reduction procedures and classification via support vector machines (SVMs) are often associated with multi or hyperspectral image analysis. In this paper, we propose an automatic method with these two schemes in order to perform a classification of skin hyper-pigmentation on multi-spectral images. We propose a spectral analysis method to partition the spectrum as a tool for data reduction, implemented by projection pursuit. Once the data is reduced, an SVM is used to differentiate the pathological from the healthy areas. As SVM is a supervised classification method, we propose a spatial criterion for spectral analysis in order to perform automatic learning.
Visual (image and video) database systems require efficient indexing to enable fast access to the images in a database. In addition, the large memory capacity and channel bandwidth requirements for the storage and transmission of visual data necessitate the use of compression techniques. Vector quantization (VQ) is an efficient technique for low bit-rate image and video compression. In addition, the low complexity of the decoder makes VQ attractive for low power systems and applications which require fast decoding. In this paper, we present an indexing technique for compressed video using vector quantization. Here, a video sequence is first compressed using VQ. Each frame is represented by a usage map, a set of VQ labels, and a set of motion vectors. The video sequence is partitioned into shots and the various camera operations and motion within each shot are then determined by processing the VQ label maps. Each shot is indexed using a spatio-temporal index. The spatial index refers to the spatial content of the representative frame of a shot, while the temporal index represents the temporal content of the shot. The spatial index is based on the codewords used to compress the representative frame, while the temporal index is based on motion and camera operations within the shot. The proposed indexing technique is executed entirely in the compressed domain. This entails significant savings in computational and storage costs resulting in faster execution.
In this paper, the spatial query models of multi platforms are analyzed. A 2-level MBR filter spatial join method (2FSJM) is proposed, which improves the performance of multi-platforms, including Oracle Spatial, ArcSDE and the open source platform OGR/GEOS. The experiments on multi-platforms are implemented. The results show that the improvement is valid.
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