Conferences related to Indexing

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2020 IEEE 16th International Workshop on Advanced Motion Control (AMC)

AMC2020 is the 16th in a series of biennial international workshops on Advanced Motion Control which aims to bring together researchers from both academia and industry and to promote omnipresent motion control technologies and applications.


2019 41st Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC)

The conference program will consist of plenary lectures, symposia, workshops andinvitedsessions of the latest significant findings and developments in all the major fields ofbiomedical engineering.Submitted papers will be peer reviewed. Accepted high quality paperswill be presented in oral and postersessions, will appear in the Conference Proceedings and willbe indexed in PubMed/MEDLINE & IEEE Xplore


2019 IEEE 46th Photovoltaic Specialists Conference (PVSC)

Photovoltaic materials, devices, systems and related science and technology


2019 IEEE 58th Conference on Decision and Control (CDC)

The CDC is recognized as the premier scientific and engineering conference dedicated to the advancement of the theory and practice of systems and control. The CDC annually brings together an international community of researchers and practitioners in the field of automatic control to discuss new research results, perspectives on future developments, and innovative applications relevant to decision making, systems and control, and related areas.The 58th CDC will feature contributed and invited papers, as well as workshops and may include tutorial sessions.The IEEE CDC is hosted by the IEEE Control Systems Society (CSS) in cooperation with the Society for Industrial and Applied Mathematics (SIAM), the Institute for Operations Research and the Management Sciences (INFORMS), the Japanese Society for Instrument and Control Engineers (SICE), and the European Union Control Association (EUCA).


2019 IEEE International Conference on Industrial Technology (ICIT)

The scope of the conference will cover, but will not be limited to, the following topics: Robotics; Mechatronics; Industrial Automation; Autonomous Systems; Sensing and artificial perception, Actuators and Micro-nanotechnology; Signal/Image Processing and Computational Intelligence; Control Systems; Electronic System on Chip and Embedded Control; Electric Transportation; Power Electronics; Electric Machines and Drives; Renewable Energy and Smart Grid; Data and Software Engineering, Communication; Networking and Industrial Informatics.


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Periodicals related to Indexing

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Antennas and Propagation, IEEE Transactions on

Experimental and theoretical advances in antennas including design and development, and in the propagation of electromagnetic waves including scattering, diffraction and interaction with continuous media; and applications pertinent to antennas and propagation, such as remote sensing, applied optics, and millimeter and submillimeter wave techniques.


Applied Superconductivity, IEEE Transactions on

Contains articles on the applications and other relevant technology. Electronic applications include analog and digital circuits employing thin films and active devices such as Josephson junctions. Power applications include magnet design as well asmotors, generators, and power transmission


Automatic Control, IEEE Transactions on

The theory, design and application of Control Systems. It shall encompass components, and the integration of these components, as are necessary for the construction of such systems. The word `systems' as used herein shall be interpreted to include physical, biological, organizational and other entities and combinations thereof, which can be represented through a mathematical symbolism. The Field of Interest: shall ...


Biomedical Engineering, IEEE Reviews in

The IEEE Reviews in Biomedical Engineering will review the state-of-the-art and trends in the emerging field of biomedical engineering. This includes scholarly works, ranging from historic and modern development in biomedical engineering to the life sciences and medicine enabled by technologies covered by the various IEEE societies.


Biomedical Engineering, IEEE Transactions on

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.


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Most published Xplore authors for Indexing

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Xplore Articles related to Indexing

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Modeling Semantic Aspects for Cross-Media Image Indexing

[{u'author_order': 1, u'authorUrl': u'https://ieeexplore.ieee.org/author/38273820800', u'full_name': u'Florent Monay', u'id': 38273820800}, {u'author_order': 2, u'authorUrl': u'https://ieeexplore.ieee.org/author/38277862200', u'full_name': u'Daniel Gatica-Perez', u'id': 38277862200}] IEEE Transactions on Pattern Analysis and Machine Intelligence, 2007

To go beyond the query-by-example paradigm in image retrieval, there is a need for semantic indexing of large image collections for intuitive text-based image search. Different models have been proposed to learn the dependencies between the visual content of an image set and the associated text captions, then allowing for the automatic creation of semantic indexes for unannotated images. The ...


PASDS Plus PPAT Indexing Method for Multimedia Data

[{u'author_order': 1, u'authorUrl': u'https://ieeexplore.ieee.org/author/37085914624', u'full_name': u'Ben Wang', u'id': 37085914624}, {u'author_order': 2, u'authorUrl': u'https://ieeexplore.ieee.org/author/37675333200', u'full_name': u'Dongyuan Gu', u'id': 37675333200}, {u'author_order': 3, u'authorUrl': u'https://ieeexplore.ieee.org/author/38184637100', u'full_name': u'Dongyong Yang', u'id': 38184637100}, {u'author_order': 4, u'authorUrl': u'https://ieeexplore.ieee.org/author/37678539300', u'full_name': u'Jian Zhang', u'id': 37678539300}] 2009 Second International Symposium on Knowledge Acquisition and Modeling, 2009

Indexing and query multimedia data is a challenging problem due to the high dimension of multimedia data. Clustering-based indexing structures are quite efficient for high-dimensional data indexing. Unfortunately, clustering-based indexing structures are normally static, and the whole structures have to be rebuilt after inserting new data. To resolve this issue, a two-level indexing method, called PASDS plus PPAT method, has ...


csgIndex: An scalable contrast subgraph-based indexing model

[{u'author_order': 1, u'affiliation': u'Department of Information Engineer, Zhejiang Business Technology Institute, Ningbo 315012, China', u'authorUrl': u'https://ieeexplore.ieee.org/author/37688568600', u'full_name': u'Tao JianWen', u'id': 37688568600}, {u'author_order': 2, u'affiliation': u'Department of Information Engineer, Zhejiang Business Technology Institute, Ningbo 315012, China', u'authorUrl': u'https://ieeexplore.ieee.org/author/37688571000', u'full_name': u'Ding PeiFen', u'id': 37688571000}, {u'author_order': 3, u'affiliation': u'College of Information Science and Engineering, Ningbo University, 315211, China', u'authorUrl': u'https://ieeexplore.ieee.org/author/37688573300', u'full_name': u'Zhao JieYu', u'id': 37688573300}] 2008 27th Chinese Control Conference, 2008

In comparison to traditional graph search, containment search has its own indexing characteristics that have not yet been examined. We propose a scalable contrast subgraph-based indexing model, called csgIndex. Using a redundancy-aware feature selection process, csgIndex can sort out a set of significant and distinctive contrast subgraphs and maximize its indexing capability. Taking this solution as a base indexing model, ...


FLPI: An optimal algorithm for document indexing based on LPI

[{u'author_order': 1, u'affiliation': u'Department of Information Engineer, Zhejiang Business Technology Institute, Ningbo 315010, China', u'authorUrl': u'https://ieeexplore.ieee.org/author/37688568600', u'full_name': u'Tao Jianwen', u'id': 37688568600}, {u'author_order': 2, u'affiliation': u'Department of Information Engineer, Zhejiang Business Technology Institute, Ningbo 315010, China', u'authorUrl': u'https://ieeexplore.ieee.org/author/37688571000', u'full_name': u'Ding Peifen', u'id': 37688571000}, {u'author_order': 3, u'affiliation': u'Department of Information Engineer, Zhejiang Business Technology Institute, Ningbo 315010, China', u'authorUrl': u'https://ieeexplore.ieee.org/author/37594615700', u'full_name': u'Yao Qifu', u'id': 37594615700}] 2008 27th Chinese Control Conference, 2008

LPI is optimal in the sense of local manifold structure. However, LPI is not efficient in time and memory which makes it difficult to be applied to very large data set. In this paper, we propose a optimal algorithm called FLPI. FLPI decomposes the LPI problem as a graph embedding problem plus a regularized least squares problem. Such modification avoids ...


NLCS based string approximation for searching indexing keywords in B-tree

[{u'author_order': 1, u'affiliation': u'Amity Institute of Information Technology, Amity University, Uttar Pradesh', u'authorUrl': u'https://ieeexplore.ieee.org/author/37086369897', u'full_name': u'Sahil Sharma', u'id': 37086369897}, {u'author_order': 2, u'affiliation': u'Amity Institute of Information Technology, Amity University, Uttar Pradesh', u'authorUrl': u'https://ieeexplore.ieee.org/author/37086272978', u'full_name': u'Mayank Sharma', u'id': 37086272978}, {u'author_order': 3, u'affiliation': u'Amity Institute of Information Technology, Amity University, Uttar Pradesh', u'authorUrl': u'https://ieeexplore.ieee.org/author/37086370506', u'full_name': u'Rachna Jain', u'id': 37086370506}, {u'author_order': 4, u'affiliation': u'Amity Institute of Information Technology, Amity University, Uttar Pradesh', u'authorUrl': u'https://ieeexplore.ieee.org/author/37068954400', u'full_name': u'Sunil Kumar Khatri', u'id': 37068954400}] 2017 2nd International Conference on Telecommunication and Networks (TEL-NET), 2017

When any query is raised by the user in database, record searching process takes place through keywords into the database which are passed as input to indexing process in order to map keywords to records. In case of misspell keywords the system always bypass the indexing process and go for record by record search to match nearest keywords with the ...


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Educational Resources on Indexing

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IEEE-USA E-Books

  • From Lists to Tables, the Question of Indexing

    Indexing is an operation essential to classifying and structuring information, especially to be able to find them efficiently. The logic was that of first sorting and classifying information in indices in a codex. Starting digital humanities with the index reminds that “digital” initially meant digits or fingers. In fact, the index and the table of contents were often created after the initial work and sometimes several years later. Hypertext encourages a path and nonlinear readings, which links it to the index. Hugh of Saint‐Victor as well those who produced the first indices were, in fact, the first to design interface for access to knowledge. In his art of reading, Hugh of Saint‐Victor produces a theory of knowledge favorable to further developments in indexing knowledge. Paradoxically, the progress in the domain of indexing knowledge also served the goals of indexing existences.

  • Content-based Retrieval of Medical Images: Landmarking, Indexing, and Relevance Feedback

    Content-based image retrieval (CBIR) is the process of retrieval of images from a database that are similar to a query image, using measures derived from the images themselves, rather than relying on accompanying text or annotation. To achieve CBIR, the contents of the images need to be characterized by quantitative features; the features of the query image are compared with the features of each image in the database and images having high similarity with respect to the query image are retrieved and displayed. CBIR of medical images is a useful tool and could provide radiologists with assistance in the form of a display of relevant past cases. One of the challenging aspects of CBIR is to extract features from the images to represent their visual, diagnostic, or application-specific information content. In this book, methods are presented for preprocessing, segmentation, landmarking, feature extraction, and indexing of mammograms for CBIR. The preprocessing steps include anisotropic diffusion and the Wiener filter to remove noise and perform image enhancement. Techniques are described for segmentation of the breast and fibroglandular disk, including maximum entropy, a moment-preserving method, and Otsu's method. Image processing techniques are described for automatic detection of the nipple and the edge of the pectoral muscle via analysis in the Radon domain. By using the nipple and the pectoral muscle as landmarks, mammograms are divided into their internal, external, upper, and lower parts for further analysis. Methods are presented for feature extraction using texture analysis, shape analysis, granulometric analysis, moments, and statistical measures. The CBIR system presented provides options for retrieval using the Kohonen self- organizing map and the k-nearest-neighbor method. Methods are described for inclusion of expert knowledge to reduce the semantic gap in CBIR, including the query point movement method for relevance feedback (RFb). Analysis of performance is described in terms of precision, recall, and relevance-weighted precision of retrieval. Results of application to a clinical database of mammograms are presented, including the input of expert radiologists into the CBIR and RFb processes. Models are presented for integration of CBIR and computer-aided diagnosis (CAD) with a picture archival and communication system (PACS) for efficient workflow in a hospital. Table of Contents: Introduction to Content-based Image Retrieval / Mammography and CAD of Breast Cancer / Segmentation and Landmarking of Mammograms / Feature Extraction and Indexing of Mammograms / Content-based Retrieval of Mammograms / Integration of CBIR and CAD into Radiological Workflow

  • Oracle Indexing

    This chapter contains sections titled: * Rules of Thumb on Indexing * Creating and Using Ubiquitous b-Tree Indexes * Advanced Indexing Scheme I: Covering Indexes versus Index-Organized Tables * Advanced Indexing Scheme II: Function-Based Indexes (FBIs) * Unusual Indexing Scheme I: BITMAP Indexes * Unusual Indexing Scheme II: Reverse Key Indexes * Unusual Indexing Scheme III: Compressed Composite Indexes * How To Create Oracle Indexes * Summary * Recommended Reading * Exercises ]]>

  • Instant Recovery with Write-Ahead Logging: Page Repair, System Restart, Media Restore, and System Failover, Second Edition

    Traditional theory and practice of write-ahead logging and of database recovery focus on three failure classes: transaction failures (typically due to deadlocks) resolved by transaction rollback; system failures (typically power or software faults) resolved by restart with log analysis, "redo," and "undo" phases; and media failures (typically hardware faults) resolved by restore operations that combine multiple types of backups and log replay. The recent addition of single-page failures and single-page recovery has opened new opportunities far beyond the original aim of immediate, lossless repair of single-page wear-out in novel or traditional storage hardware. In the contexts of system and media failures, efficient single-page recovery enables on-demand incremental "redo" and "undo" as part of system restart or media restore operations. This can give the illusion of practically instantaneous restart and restore: instant restart permits processing new queries and updates seconds after system reboot and instant restore permits resuming queries and updates on empty replacement media as if those were already fully recovered. In the context of node and network failures, instant restart and instant restore combine to enable practically instant failover from a failing database node to one holding merely an out-of-date backup and a log archive, yet without loss of data, updates, or transactional integrity. In addition to these instant recovery techniques, the discussion introduces self-repairing indexes and much faster offline restore operations, which impose no slowdown in backup operations and hardly any slowdown in log archiving operations. The new restore techniques also render differential and incremental backups obsolete, complete backup commands on a database server practically instantly, and even permit taking full up-to-date backups without imposing any load on the database server. Compared to the first version of this book, this second edition adds sections on applications of single-page repair, instant restart, single-pass restore, and instant restore. Moreover, it adds sections on instant failover among nodes in a cluster, applications of instant failover, recovery for file systems and data files, and the performance of instant restart and instant restore.

  • Social Computing and the Indexing of the Whole

    This chapter contains sections titled: Computational Information Infrastructures, Sociocultural Indexes and Computational Algorithms, Indexes of Social Positioning: Style, Taste, and Ideology, Interpellation, Indexing It All

  • Representing Documents and Persons in Information Systems: Library and Information Science and Citation Indexing and Analysis

    This chapter contains sections titled: From Documents to Information, Modern Documentary Structures, Michael Buckland's “What Is a Document?” and “Information as Thing”, Documents and the Creation of Information Needs, Citation Indexing and Citation Analysis

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    None

  • Video Indexing and Retrieval

    Thanks to technological advancements in image/video capturing, data storage, compression, personal computing, and networking, an eve-growing amount of digital images and videos are becoming accessible to the general user. To take advantage of the rich information content of these media, data management systems that allow efficient and effective storage, indexing, and retrieval of these data are essential. Conventional data management systems, which excel in dealing with alphanumeric data, do not handle image/video data well. To accommodate these multimedia data, researchers have suggested the content/based indexing and retrieval paradigm. In this chapter, we describe the computation of different image and video features that researchers proposed to characterize the contents of images/videos and to allow efficient indexing and retrieval. In particular, we describe the computation and use of low-level features such as color, texture, shape, and motion, as well as high- level features such as human faces. Empirical results and prototypes are illustrated to show the effectiveness of these features. Limitations and tradeoffs of different features are discussed.

  • Automatic Detection, Indexing, and Retrieval of Multiple Attributes from Cross-Lingual Multimedia Data

    This chapter contains sections titled: * Introduction * Detecting and Using Multiple Attributes from the Audio * Keyword Retrieval Using Word -Based and Phoneme-Based Recognition Engines * Query Expansion * AHS Research Prototype * Conclusion

  • Affect-Based Indexing for Multimedia Data

    This chapter contains sections titled: * Introduction * Affect Representation and Computing * Affect Analysis for Content -Based Video Indexing * Design of a Novel Affect -Based Video Indexing and Retrieval System * Experimental Investigation of Affect Labeling * Conclusions and Next Steps



Standards related to Indexing

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IEEE Standard for Automatic Test Markup Language (ATML) for Exchanging Automatic Test Information via eXtensible Markup Language (XML): Exchanging Test Configuration Information

The scope of this trial-use standard is the definition of an exchange format, using eXtensible Markup Language (XML), for identifying all of the hardware, software, and documentation that may be used to test and diagnose a UUT on an automatic test system (ATS).