Conferences related to Region 1

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2018 16th International Conference on Megagauss Magnetic Field Generation and Related Topics (MEGAGAUSS)

The MG-XVI conference will take place between September 25-29, 2018 at the UTokyo Kashiwa Campus, near Tokyo, Japan. The MG XVI conference will serve as a platform for scientists to exchange information and ideas among the members of the international scientific community in the domain of generation and application of ultra-high magnetic fields, high-energy and high-current pulsed power physics and technology, magnetic-flux compression technologies for the production of multi-megagauss fields, high magnetic field applications in basic and applied research in solid-state physics, atomic physics and chemistry, high energy density physics and for other related and novel technical applications. The MG XVI conference encourages opportunities for a strong interaction and networking among experienced and young scientists, engineers, and students involved in this extremely interesting and unique research area.

2018 18th International Symposium on Antenna Technology and Applied Electromagnetics (ANTEM)

ANTEM's technical sessions will provide a comprehensive and well-balanced program and are intended to provide an international forum for the exchange of information on state-of-the-art research in antennas, propagation, and electromagnetic engineering. Authors are invited to submit contributions for review and possible presentation during the symposium on topics of interest to ANTEM. In addition to regularly scheduled sessions for oral presentations, there will be distinguished lecturers and special sessions. There will be a Student Paper Competition as well as a Technical Exhibition.

2018 23rd Opto-Electronics and Communications Conference (OECC)

Core/Access Networks and Switching Subsystems, Transmission Systems and Their Subsystems, Optical Fibers, Fiber Amplifiers, and Related Devices, Optical Active Devices and Modules, Passive Devices and Modules

  • 2017 Opto-Electronics and Communications Conference (OECC) and Photonics Global Conference (PGC)

    OECC and PGC 2017 will be held during 31 July - 4 August 2017 at Sands Expo and Convention Centre, Singapore. The aim of this conference is to foster interactions among broad disciplines in the photonics family. This mega conference brings together international leading researchers, scientists and engineers who are actively working in lasers and their applications, nanophotonics, metamaterial, biophotonics, plasmonics, optical devices, optical transmission and optical networking, optical fibers, optical switching system and related technologies. The conference widely covers the field of "Photonics" from devices to systems and networks.

  • 2015 Opto-Electronics and Communications Conference (OECC)

    To provide a platform for sharing the research work in various optical and photonic research fields

  • 2012 Opto-Electronics and Communications Conference (OECC)

    SC1. Core/Access Networks and Switching Subsystems SC2. Transmission Systems and Subsystems SC3. Optical Fibers, Cables, and Fiber Devices SC4. Optical Active Devices and Modules SC5. Optical Passive Devices and Modules SC6. CLEO Focus Session

  • 2011 16th Opto-Electronics and Communications Conference (OECC)

    1 Core/Access Networks. 2. Transmission Systems 3. Optical Fibers, Cables and Fiber Devices 4. Optical Active Devices and Modules 5. Optical Passive Devices and Modules 6. LCD, Solar Cell, and Solid-state Lighting Technologies 7. Emerging Technologies

  • 2010 15th OptoeElectronics and Communications Conference (OECC)

    1. Core/Access Networks and Switching Subsystems 2. Transmission Systems and their Subsystems 3. Optical Fibers, Cables and Fiber Devices 4. Optical Active Devices and Modules 5. Optical Passive Devices and Modules

  • 2009 14th OptoeElectronics and Communications Conference (OECC)

    Optical Networks and Broadband Access, Transmission Systems and Switching Technologies, Optical Signal Processing, Optical Sensors and Systems, Optical Fiber and Waveguide Devices, Optoelectronic Materials, Devices and Modules, and Emerging Technologies

2018 24th International Conference on Pattern Recognition (ICPR)

ICPR will be an international forum for discussions on recent advances in the fields of Pattern Recognition, Machine Learning and Computer Vision, and on applications of these technologies in various fields

  • 2016 23rd International Conference on Pattern Recognition (ICPR)

    ICPR'2016 will be an international forum for discussions on recent advances in the fields of Pattern Recognition, Machine Learning and Computer Vision, and on applications of these technologies in various fields.

  • 2014 22nd International Conference on Pattern Recognition (ICPR)

    ICPR 2014 will be an international forum for discussions on recent advances in the fields of Pattern Recognition; Machine Learning and Computer Vision; and on applications of these technologies in various fields.

  • 2012 21st International Conference on Pattern Recognition (ICPR)

    ICPR is the largest international conference which covers pattern recognition, computer vision, signal processing, and machine learning and their applications. This has been organized every two years by main sponsorship of IAPR, and has recently been with the technical sponsorship of IEEE-CS. The related research fields are also covered by many societies of IEEE including IEEE-CS, therefore the technical sponsorship of IEEE-CS will provide huge benefit to a lot of members of IEEE. Archiving into IEEE Xplore will also provide significant benefit to the all members of IEEE.

  • 2010 20th International Conference on Pattern Recognition (ICPR)

    ICPR 2010 will be an international forum for discussions on recent advances in the fields of Computer Vision; Pattern Recognition and Machine Learning; Signal, Speech, Image and Video Processing; Biometrics and Human Computer Interaction; Multimedia and Document Analysis, Processing and Retrieval; Medical Imaging and Visualization.

  • 2008 19th International Conferences on Pattern Recognition (ICPR)

    The ICPR 2008 will be an international forum for discussions on recent advances in the fields of Computer vision, Pattern recognition (theory, methods and algorithms), Image, speech and signal analysis, Multimedia and video analysis, Biometrics, Document analysis, and Bioinformatics and biomedical applications.

  • 2002 16th International Conference on Pattern Recognition

2018 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)

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 papers will be peer reviewed. Accepted high quality papers will be presented in oral and postersessions, will appear in the Conference Proceedings and will be indexed in PubMed/MEDLINE

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Periodicals related to Region 1

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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

Communications Letters, IEEE

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.)

Communications Magazine, IEEE

IEEE Communications Magazine was the number three most-cited journal in telecommunications and the number eighteen cited journal in electrical and electronics engineering in 2004, according to the annual Journal Citation Report (2004 edition) published by the Institute for Scientific Information. Read more at This magazine covers all areas of communications such as lightwave telecommunications, high-speed data communications, personal communications ...

Communications, IEEE Transactions on

Telephone, telegraphy, facsimile, and point-to-point television, by electromagnetic propagation, including radio; wire; aerial, underground, coaxial, and submarine cables; waveguides, communication satellites, and lasers; in marine, aeronautical, space and fixed station services; repeaters, radio relaying, signal storage, and regeneration; telecommunication error detection and correction; multiplexing and carrier techniques; communication switching systems; data communications; and communication theory. In addition to the above, ...

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Most published Xplore authors for Region 1

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Xplore Articles related to Region 1

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Effect of non-uniform lubricant distribution and de-wetting on head-disk dynamics

[{u'author_order': 1, u'affiliation': u'Seagate Technol., Fremont, CA, USA', u'full_name': u'D. Kuo'}, {u'author_order': 2, u'full_name': u'Xiaoding Ma'}, {u'author_order': 3, u'full_name': u'H. Tang'}, {u'author_order': 4, u'full_name': u'J. Gui'}] IEEE Transactions on Magnetics, 2001

In this work, the effect of long-wavelength nonuniform lube distribution and lube de-wetting on head-disk dynamics is investigated by using disks with controlled within-disk nonuniformity in lubricant film thickness. Complex slider responses were observed, which were sensitive to lubricant film thickness and the extent of de-wetting. The effect of slider-assisted lubricant redistribution was also observed.

Field singularities at the tip of a dielectric cone

[{u'author_order': 1, u'affiliation': u'Univ. of Ghent, Ghent, Belgium', u'full_name': u'J. Van Bladel'}] IEEE Transactions on Antennas and Propagation, 1985

Data are given on the nature of the singularities near the tip of a dielectric cone of circular cross section. For a "sharp" cone the singularity is associated with a<tex>\varphi</tex>-independent potential; for a "reentrant" cone with a "<tex>cos \varphi</tex>" type of potential.

A model for delay evaluation of a CMOS inverter

[{u'author_order': 1, u'affiliation': u'Dept. of Electr. Eng., Toledo Univ., OH, USA', u'full_name': u'S.R. Vemuru'}, {u'author_order': 2, u'affiliation': u'Dept. of Electr. Eng., Toledo Univ., OH, USA', u'full_name': u'A.R. Thorbjornsen'}] IEEE International Symposium on Circuits and Systems, 1990

A model is proposed for computing the propagation delay of a CMOS inverter. The model takes into account the shape of the input waveform, the capacitive load, and the transconductances of the PMOS and NMOS transistors. The model uses either an analytical solution or a power series approximate solution for the differential equations that govern the behavior of the inverter. ...

Theoretical Analysis of a Ridged-Waveguide Mounting Structure

[{u'author_order': 1, u'full_name': u'S. Mizushina'}, {u'author_order': 2, u'full_name': u'N. Kuwabara'}, {u'author_order': 3, u'full_name': u'H. Kondoh'}] 1977 IEEE MTT-S International Microwave Symposium Digest, 1977

The driving-point impedance of a single-gap thin conductor strip, a model of the ribbon-and-pedestal of device package, mounted across the gap of a ridged waveguide has been derived using the induced EMF method. The dyadic Green's function for the ridged waveguide was derived to facilitate the analysis. An equivalent circuit was developed which involved an infinite array of transformers representing ...

Parasitic subarray combining coplanar and multi-layer geometries

[{u'author_order': 1, u'affiliation': u'Dept. of Electr. Eng., Toledo Univ., OH, USA', u'full_name': u'K.F. Lee'}, {u'author_order': 2, u'full_name': u'R.Q. Lee'}, {u'author_order': 3, u'full_name': u'T. Talty'}] International Symposium on Antennas and Propagation Society, Merging Technologies for the 90's, 1990

A parasitic subarray configuration (for microstrip antenna design) combining coplanar and multilayer geometries is proposed. The role of the parasitic patches is to capture and redirect the energy radiated by the fed patch to enhance the radiation in the desired direction, usually broadside. Since it has been demonstrated that both coplanar and multilayered parasitic patches can perform this task, the ...

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Educational Resources on Region 1

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  • Electromagnetic Scattering using the Iterative Multi-Region Technique

    In this work, an iterative approach using the finite difference frequency domain method is presented to solve the problem of scattering from large-scale electromagnetic structures. The idea of the proposed iterative approach is to divide one computational domain into smaller subregions and solve each subregion separately. Then the subregion solutions are combined iteratively to obtain a solution for the complete domain. As a result, a considerable reduction in the computation time and memory is achieved. This procedure is referred to as the iterative multiregion (IMR) technique. Different enhancement procedures are investigated and introduced toward the construction of this technique. These procedures are the following: 1) a hybrid technique combining the IMR technique and a method of moment technique is found to be efficient in producing accurate results with a remarkable computer memory saving; 2) the IMR technique is implemented on a parallel platform that led to a tremendous computational time saving; 3) together, the multigrid technique and the incomplete lower and upper preconditioner are used with the IMR technique to speed up the convergence rate of the final solution, which reduces the total computational time. Thus, the proposed iterative technique, in conjunction with the enhancement procedures, introduces a novel approach to solving large open-boundary electromagnetic problems including unconnected objects in an efficient and robust way. Contents: Basics of the FDFD Method / IMR Technique for Large-Scale Electromagnetic Scattering Problems: 3D Case / IMR Technique for Large-Scale Electromagnetic Scattering Problems: 2D Case / The IMR Algorithm Using a Hybrid FDFD and Method of Moments Technique / Parallelization of the Iterative Multiregion Technique / Combined Multigrid Technique and IMR Algorithm / Concluding Remarks / Appendices

  • Representations and Techniques for 3D Object Recognition and Scene Interpretation

    One of the grand challenges of artificial intelligence is to enable computers to interpret 3D scenes and objects from imagery. This book organizes and introduces major concepts in 3D scene and object representation and inference from still images, with a focus on recent efforts to fuse models of geometry and perspective with statistical machine learning. The book is organized into three sections: (1) Interpretation of Physical Space; (2) Recognition of 3D Objects; and (3) Integrated 3D Scene Interpretation. The first discusses representations of spatial layout and techniques to interpret physical scenes from images. The second section introduces representations for 3D object categories that account for the intrinsically 3D nature of objects and provide robustness to change in viewpoints. The third section discusses strategies to unite inference of scene geometry and object pose and identity into a coherent scene interpretation. Each section broadly surveys important ideas from cognitive science and artificial intelligence research, organizes and discusses key concepts and techniques from recent work in computer vision, and describes a few sample approaches in detail. Newcomers to computer vision will benefit from introductions to basic concepts, such as single-view geometry and image classification, while experts and novices alike may find inspiration from the book's organization and discussion of the most recent ideas in 3D scene understanding and 3D object recognition. Specific topics include: mathematics of perspective geometry; visual elements of the physical scene, structural 3D scene representations; techniques and features for image and region categorization; historical perspective, computational models, and datasets and machine learning techniques for 3D object recognition; inferences of geometrical attributes of objects, such as size and pose; and probabilistic and feature-passing approaches for contextual reasoning about 3D objects and scenes. Table of Contents: Background on 3D Scene Models / Single-view Geometry / Modeling the Physical Scene / Categorizing Images and Regions / Examples of 3D Scene Interpretation / Background on 3D Recognition / Modeling 3D Objects / Recognizing and Understanding 3D Objects / Examples of 2D 1/2 Layout Models / Reasoning about Objects and Scenes / Cascades of Classifiers / Conclusion and Future Directions

  • An Approximation Approach to Network Information Theory

    The interaction between communication entities, which is unique in the network setting, have been at the root of many difficult challenges in communications and information theory. This monograph advocates a sequential approach to make progress on the network communication problem. In order to do this, the channel (and source) model to capture the essence of the network communication problem are simplified and connected to the original problem. This leads to the concept of approximate characterizations of the channel capacity region and source coding rate regions. Approximate solutions to information theory problems are not new. However, they are by and far isolated results each with its own proof technique. This monograph describes a breakthrough systematic approach with two levels of approximation that can be applied to many problems. It concludes by demonstrating its application to four central problems in network information theory: (1) Relay networks, (2) Interference channels, (3) Multiple descriptions problem, and (4) Joint source-channel coding over networks. This monograph is intended for researchers and graduate students working at the forefront of research into network and communications problems.

  • Computerized Analysis of Mammographic Images for Detection and Characterization of Breast Cancer

    The identification and interpretation of the signs of breast cancer in mammographic images from screening programs can be very difficult due to the subtle and diversified appearance of breast disease. This book presents new image processing and pattern recognition techniques for computer-aided detection and diagnosis of breast cancer in its various forms. The main goals are: (1) the identification of bilateral asymmetry as an early sign of breast disease which is not detectable by other existing approaches; and (2) the detection and classification of masses and regions of architectural distortion, as benign lesions or malignant tumors, in a unified framework that does not require accurate extraction of the contours of the lesions. The innovative aspects of the work include the design and validation of landmarking algorithms, automatic Tabár masking procedures, and various feature descriptors for quantification of similarity and for contour independent classification of mammographic lesions. Characterization of breast tissue patterns is achieved by means of multidirectional Gabor filters. For the classification tasks, pattern recognition strategies, including Fisher linear discriminant analysis, Bayesian classifiers, support vector machines, and neural networks are applied using automatic selection of features and cross-validation techniques. Computer-aided detection of bilateral asymmetry resulted in accuracy up to 0.94, with sensitivity and specificity of 1 and 0.88, respectively. Computer-aided diagnosis of automatically detected lesions provided sensitivity of detection of malignant tumors in the range of [0.70, 0.81] at a range of falsely detected tumors of [0.82, 3.47] per image. The techniques presented in this work are effective in detecting and characterizing various mammographic signs of breast disease.

  • Low-Rank Semidefinite Programming: Theory and Applications

    Finding low-rank solutions of semidefinite programs is important in many applications. For example, semidefinite programs that arise as relaxations of polynomial optimization problems are exact relaxations when the semidefinite program has a rank-1 solution. Unfortunately, computing a minimum-rank solution of a semidefinite program is an NP-hard problem. This monograph reviews the theory of low-rank semidefinite programming, presenting theorems that guarantee the existence of a low-rank solution, heuristics for computing low-rank solutions, and algorithms for finding low-rank approximate solutions. It then presents applications of the theory to trust-region problems and signal processing.

  • Women in Engineering - Book 7: Having It All: One Woman's Journey

    Book 7 of IEEE-USA's Women in Engineering series E-Books, join author Tanya Candia on her professional career and life journey. Candia is an international marketing and business management consultant, and is president and chief executive of Candia Communications LLC in Saratoga, California. Her marketing and strategy consulting company works with companies in Europe, the United States and the Asia-Pacific region. With more than 25 years of experience with startups and established companies, Candia has led high-growth business and product strategies, technology strategic marketing, branding, communications, and public relations efforts. She is also author of the popular, five-book, IEEE-USA E-Book series, Starting Your Start-Up.

  • Low‐Power High‐Temperature‐Operation‐Tolerant (HTOT) SOI MOSFET

    This chapter describes a high‐temperature‐operation‐tolerant (HTOT) metal oxide semiconductor silicon‐on‐insulator (SOI MOSFET) and shows the preliminary results of a simulation of its characteristics. This demonstrated that HTOT SOI MOSFET operates safely at 700 K with no thermal instability because of its expanded effective bandgap. It showed that its threshold voltage is higher than that of the conventional SOI MOSFET because its local thin Si regions offer an expanded effective band gap. The HTOT SOI MOSFET with 1 nm thick local‐thin Si regions is shown to be almost insensitive to temperature for_T_ < 700 K (427 °C). This confirms that HTOT SOI MOSFET is a promising device for future high‐temperature applications.

  • Geometric entropy minimization (GEM) for anomaly detection and localization

    We introduce a novel adaptive non-parametric anomaly detection approach, called GEM, that is based on the minimal covering properties of K-point entropic graphs when constructed on N training samples from a nominal probability distribution. Such graphs have the property that as N → ∞l their span recovers the entropy minimizing set that supports at least ρ = K/N(100)% of the mass of the Lebesgue part of the distribution. When a test sample falls outside of the entropy minimizing set an anomaly can be declared at a statistical level of significance α = 1. ρ. A method for implementing this non-parametric anomaly detector is proposed that approximates this minimum entropy set by the influence region of a K-point entropic graph built on the training data. By implementing an incremental leave-one-out k-nearest neighbor graph on resampled subsets of the training data GEM can efficiently detect outliers at a given level of significance and compute their empirical p-values. We illustrate GEM for several simulated and real data sets in high dimensional feature spaces.

  • Implementing Semantics of Disjunctive Logic Programs Using Fringes and Abstract Properties

    Many years of fruitful interaction between logic programming and non monotonic reasoning have resulted in the definition of an immense number of semantics for logic programs. Only recently, however, has there been spent considerable effort on how to implement these semantics efficiently. A particularly promising approach seems to be the notion of fringes [11] for semantics based on minimal models. It has been shown in [1] that the computation of fringes may be done efficiently by applying methods from integer programming. In this paper we shall report on results which have been obtained in the context of the first author's master's thesis [9]. We shall show how to use fringes to compute PERFECT and how to adapt them for the computation of STN [13]. We implemented the system Korf for computing various semantics for disjunctive logic programs. Building on and extending some work of the second author ([2, 3, 4]) we identify several abstract principles in the course of this implementation. These principles not only seem to be reasonable [3] but also are strongly related to the computational complexity of a semantics. Observing that the full generality of an algorithm for computing a semantics is only needed for certain islands of complcxity within a program one can reduce its cost by orders. The abstract principles which we shall present prove to be a valuable tool for pinpointing these regions and, in the typical case, improving the efficiency of computing a semantics.

  • Motion Planning under Uncertainty in Highly Deformable Environments

    Many tasks in robot-assisted surgery, food handling, manufacturing, and other applications require planning and controlling the motions of manipulators or other devices that must interact with highly deformable objects. We present a unified approach for motion planning under uncertainty in deformable environments that maximizes probability of success by accounting for uncertainty in deformation models, noisy sensing, and unpredictable actuation. Unlike prior planners that assume deterministic deformations or treat deformations as a type of small perturbation, our method explicitly considers the uncertainty in large, time-dependent deformations. Our method requires a simulator of deformable objects but places no significant restrictions on the simulator used. We use a samplingbased motion planner in conjunction with the simulator to generate a set of candidate plans based on expected deformations. Our method then uses the simulator and optimal control to numerically estimate time-dependent state distributions based on uncertain parameters (e.g. deformable material properties or actuation errors). We then select the plan with the highest estimated probability of successfully avoiding obstacles and reaching the goal region. Using FEM-based simulation of deformable tissues, we demonstrate the ability of our method to generate high quality plans in two medical-inspired scenarios: (1) guiding bevel-tip steerable needles through slices of deformable tissue around obstacles for minimally invasive biopsies and drug-delivery, and (2) manipulating planar tissues to align interior points at desired coordinates for precision treatment.

Standards related to Region 1

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(Replaced) IEEE Standard VHDL Language Reference Manual

his standard revises and enhances the VHDL language reference manual (LRM) by including a standard C language interface specification; specifications from previously separate, but related, standards IEEE Std 1164 -1993,1 IEEE Std 1076.2 -1996, and IEEE Std 1076.3-1997; and general language enhancements in the areas of design and verification of electronic systems.

Jobs related to Region 1

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