Conferences related to Pipeline

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2019 49th Annual IEEE/IFIP International Conference on Dependable Systems and Networks (DSN)

Promote the exchange of ideas between academia and industry in the field of computer and networks dependability

2018 14th IEEE/ASME International Conference on Mechatronic and Embedded Systems and Applications (MESA)

The goal of the 14th ASME/IEEE MESA2018 is to bring together experts from the fields of mechatronic and embedded systems, disseminate the recent advances in the area, discuss future research directions, and exchange application experience. The main achievement of MESA2018 is to bring out and highlight the latest research results and developments in the IoT (Internet of Things) era in the field of mechatronics and embedded systems.

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 28th International Conference Radioelektronika (RADIOELEKTRONIKA)

The purpose of the conference is to create a discussion forum for researchers, academics, people in industry, and students who are interested in the latest development in the area of electronics, signal processing and applications, information technologies, and related disciplines.

2018 31st IEEE International System-on-Chip Conference (SOCC)

System on Chip

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Periodicals related to Pipeline

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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

Circuits and Systems for Video Technology, IEEE Transactions on

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-- ...

Circuits and Systems Magazine, IEEE

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 ...

Computer Graphics and Applications, IEEE

IEEE Computer Graphics and Applications (CG&A) bridges the theory and practice of computer graphics. From specific algorithms to full system implementations, CG&A offers a strong combination of peer-reviewed feature articles and refereed departments, including news and product announcements. Special Applications sidebars relate research stories to commercial development. Cover stories focus on creative applications of the technology by an artist or ...

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Most published Xplore authors for Pipeline

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Xplore Articles related to Pipeline

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DeepISP: Toward Learning an End-to-End Image Processing Pipeline

[{u'author_order': 1, u'affiliation': u'School of Electrical Engineering, Tel-Aviv University, Tel Aviv, Israel', u'full_name': u'Eli Schwartz'}, {u'author_order': 2, u'affiliation': u'School of Electrical Engineering, Tel-Aviv University, Tel Aviv, Israel', u'full_name': u'Raja Giryes'}, {u'author_order': 3, u'affiliation': u'Department of Computer Science, Technion–Israel Institute of Technology, Haifa, Israel', u'full_name': u'Alex M. Bronstein'}] IEEE Transactions on Image Processing, 2019

We present DeepISP, a full end-to-end deep neural model of the camera image signal processing pipeline. Our model learns a mapping from the raw low-light mosaiced image to the final visually compelling image and encompasses low- level tasks, such as demosaicing and denoising, as well as higher-level tasks, such as color correction and image adjustment. The training and evaluation of ...

The Mathematical Simulation of Functional Reliability of Pipeline with Redundancy

[{u'author_order': 1, u'affiliation': u'Department of the Construction of Oil and Gas Wells, North-Caucasus Federal University, Stavropol, Russian Federation', u'full_name': u'Vladimir V. Samoylenko'}, {u'author_order': 2, u'affiliation': u'Department of the Applied Mathematics and Mathematical Simulation, North-Caucasus Federal University, Stavropol, Russian Federation', u'full_name': u'Vladimir V. Fedorenko'}, {u'author_order': 3, u'affiliation': u'Department of the Information Systems, Stavropol State Agrarian University, Stavropol, Russian Federation', u'full_name': u'Irina V. Samoylenko'}] 2018 International Russian Automation Conference (RusAutoCon), None

The article proposes the mathematical model of the functional reliability of pipeline with the redundancy (PR), which contains the elements of strength, hydraulic and game theory models. The distribution optimum criterion of the transported product between the PR parallel sections is substantiated taking into account the action uncertainty of the environment factors on the defects development in the pipe and ...

A Machine Learning Pipeline to Optimally Utilize Limited Samples in Predictive Modeling

[{u'author_order': 1, u'affiliation': u'Department of Imaging Science and Innovation, Geisinger, Danville, Pennsylvania, 17822, United States', u'full_name': u'Manar D. Samad'}, {u'author_order': 2, u'affiliation': u'Department of Electrical and Computer Engineering, Old Dominion University, Norfolk, Virginia, 23529, United States', u'full_name': u'Megan A. Witherow'}] 2018 9th International Conference on Computing, Communication and Networking Technologies (ICCCNT), None

In many research studies, acquiring large amounts of data for predictive modeling can be expensive and time consuming. Many scientific pilot studies acquire only a limited number of data samples, which may be sufficient for statistical analysis but may not be ideal for using a standard machine learning pipeline. We have implemented and publicly shared a machine learning pipeline that ...

Pixel-to-Action Policy for Underwater Pipeline Following via Deep Reinforcement Learning

[{u'author_order': 1, u'affiliation': u'The Key Laboratory of Mariculture & Stock Enhancement in North China’s Sea, Ministry of Agriculture, P. R. China', u'full_name': u'Yanan Liu'}, {u'author_order': 2, u'affiliation': u'The Key Laboratory of Mariculture & Stock Enhancement in North China’s Sea, Ministry of Agriculture, P. R. China', u'full_name': u'Fang Wang'}, {u'author_order': 3, u'affiliation': u'The Key Laboratory of Mariculture & Stock Enhancement in North China’s Sea, Ministry of Agriculture, P. R. China', u'full_name': u'Zeyu Lv'}, {u'author_order': 4, u'affiliation': u'School of Information Science & Engineering, Dalian Ocean University, Dalian, 116023, China', u'full_name': u'Kaihui Cao'}, {u'author_order': 5, u'affiliation': u'The Key Laboratory of Mariculture & Stock Enhancement in North China’s Sea, Ministry of Agriculture, P. R. China', u'full_name': u'Yuanshan Lin'}] 2018 IEEE International Conference of Intelligent Robotic and Control Engineering (IRCE), None

In this paper, we investigate the problems of vision-based pipeline following for a fully actuated autonomous underwater vehicle (AUV) that moves in the horizontal plane. The problems cannot be solved by most of model-based approaches. To this end, we firstly formulate the pipeline following problems for AUVs as continuous-state, continuous-action Markov Decision Processes (MDPs) under unkown transition probabilities. The pipeline ...

Analysis of a Defect Signal Deformations Induced by Eddy Current in RFECT System for Pipeline Inspection

[{u'author_order': 1, u'affiliation': u'Department of Electrical and Computer Engineering, Pusan National University, Busan, South Korea', u'full_name': u'Hui Min Kim'}, {u'author_order': 2, u'affiliation': u'KOGAS Research Institute, Korea Gas Corporation, Incheon, South Korea', u'full_name': u'Hui Ryong Yoo'}, {u'author_order': 3, u'affiliation': u'Department of Electrical and Computer Engineering, Pusan National University, Busan, South Korea', u'full_name': u'Gwan Soo Park'}] IEEE Transactions on Magnetics, 2018

For testing a conductive pipeline, remote field eddy current testing (RFECT) is used, which is composed of solenoidal exciter coil and receiving sensor coils. In RFECT, there is remote field zone where the eddy current distributions are concentrated on the external surface of the pipe wall. Therefore, it is possible to detect a defect that occurs on the external surface ...

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Educational Resources on Pipeline

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No eLearning Articles are currently tagged "Pipeline"


  • Industrial Case: Acquiring Software for Pipeline Operations

    The goal of this chapter is to discuss developing software requirements for a safety critical system using multidisciplinary team approaches. Such specifications are systems oriented in that they address functional, performance, and hardware/software interface requirements. The chapter also identifies some of the best practices for use in specifying requirements. There is a wealth of resources available on the topic of requirements because of its importance and due to the challenges associated with specifying them and getting them right. The chapter touches on just a few of the important issues and identifies a few of the readily available resources.

  • The Poverty of the Pipeline Metaphor: The AAAS/CPST Study of Nontraditional Pathways into IT/CS Education and the Workforce

    This chapter contains sections titled: The Nontraditional Student in IT/CS, The AAAS/CPST Study of Nontraditional Pathways into the IT/CS Workforce, Student Demographics, Educational Backgrounds, Reasons for Choosing IT/CS, Reasons for Choosing Institutions, Educational Experiences, Satisfaction, Financing, Postgraduation Educational Plans and Experiences, Teaching the Nontraditional Student, Perceptions of the Field, Perceptions about Students, Weed-Out Courses, Recruitment Efforts, Awareness of Nontraditional Students, Characteristics and Needs of Nontraditional Students, Conclusions, Notes

  • Power Transmission Pipeline

  • Appendix A: Pipeline Stages for AES Encryption

    No abstract.

  • Data Processing on FPGAs

    Roughly a decade ago, power consumption and heat dissipation concerns forced the semiconductor industry to radically change its course, shifting from sequential to parallel computing. Unfortunately, improving performance of applications has now become much more difficult than in the good old days of frequency scaling. This is also affecting databases and data processing applications in general, and has led to the popularity of so-called data appliances--specialized data processing engines, where software and hardware are sold together in a closed box. Field-programmable gate arrays (FPGAs) increasingly play an important role in such systems. FPGAs are attractive because the performance gains of specialized hardware can be significant, while power consumption is much less than that of commodity processors. On the other hand, FPGAs are way more flexible than hard-wired circuits (ASICs) and can be integrated into complex systems in many different ways, e.g., directly in the network for a high-frequency trading application. This book gives an introduction to FPGA technology targeted at a database audience. In the first few chapters, we explain in detail the inner workings of FPGAs. Then we discuss techniques and design patterns that help mapping algorithms to FPGA hardware so that the inherent parallelism of these devices can be leveraged in an optimal way. Finally, the book will illustrate a number of concrete examples that exploit different advantages of FPGAs for data processing. Table of Contents: Preface / Introduction / A Primer in Hardware Design / FPGAs / FPGA Programming Models / Data Stream Processing / Accelerated DB Operators / Secure Data Processing / Conclusions / Bibliography / Authors' Biographies / Index

  • Architectures With Bus‐Based Switch Fabrics: Case Study—Cisco Catalyst 6000 Series Switches

    The Cisco Catalyst 6000 family of switch/routers consists of the Catalyst 6000 and 6500 Series that are designed to deliver high‐speed Layer 2 and 3 forwarding solutions for service provider and enterprise networks. This chapter describes the different Catalyst 6000 series switch/router architectures. It highlights the main architectural features of the Catalyst 6000 series of switch/routers. The Catalyst 6000 Series supports two versions of the Supervisor Engine ‐ Supervisor Engine 1A and Supervisor Engine 2. The Catalyst 6000 and 6500 employ two types of port ASICs for network connectivity: PINNACLE ASIC and COIL ASIC. These port ASICs provide connectivity from a network to the 32 Gb/s main shared switching bus or the 16 Gb/s local bus supported on the fabric‐enabled and fabriconly line cards. The chapter describes the flow of packets through the Catalyst 6000 and a centralized flow cache maintained by the Supervisor Engine 1A.

  • Cloth Simulation for Computer Graphics

    <p>Physics-based animation is commonplace in animated feature films and even special effects for live-action movies. Think about a recent movie and there will be some sort of special effects such as explosions or virtual worlds. Cloth simulation is no different and is ubiquitous because most virtual characters (hopefully!) wear some sort of clothing.</p> <p>The focus of this book is physics-based cloth simulation. We start by providing background information and discuss a range of applications. This book provides explanations of multiple cloth simulation techniques. More specifically, we start with the most simple explicitly integrated mass-spring model and gradually work our way up to more complex and commonly used implicitly integrated continuum techniques in state-of-the-art implementations. We give an intuitive explanation of the techniques and give additional information on how to efficiently implement them on a computer.</p> <p>This book d scusses explicit and implicit integration schemes for cloth simulation modeled with mass-spring systems. In addition to this simple model, we explain the more advanced continuum-inspired cloth model introduced in the seminal work of Baraff and Witkin [1998]. This method is commonly used in industry.</p> <p>We also explain recent work by Liu et al. [2013] that provides a technique to obtain fast simulations. In addition to these simulation approaches, we discuss how cloth simulations can be art directed for stylized animations based on the work of Wojan et al. [2016]. Controllability is an essential component of a feature animation film production pipeline. We conclude by pointing the reader to more advanced techniques.</p>

  • Design, Representations, and Processing for Additive Manufacturing

    The wide diffusion of 3D printing technologies continuously calls for effective solutions for designing and fabricating objects of increasing complexity. The so called "computational fabrication" pipeline comprises all the steps necessary to turn a design idea into a physical object, and this book describes the most recent advancements in the two fundamental phases along this pipeline: design and process planning. We examine recent systems in the computer graphics community that allow us to take a design idea from conception to a digital model, and classify algorithms that are necessary to turn such a digital model into an appropriate sequence of machining instructions.

  • Information Extraction

    Information Extraction deals with the automatic extraction of information from unstructured sources. This field has opened up new avenues for querying, organizing, and analyzing data by drawing upon the clean semantics of structured databases and the abundance of unstructured data. The text surveys over two decades of information extraction research from various communities such as computational linguistics, machine learning, databases and information retrieval. Information Extraction provides a taxonomy of the field along various dimensions derived from the nature of the extraction task, the techniques used for extraction, the variety of input resources exploited, and the type of output produced. It elaborates on rule-based and statistical methods for entity and relationship extraction. In each case it highlights the different kinds of models for capturing the diversity of clues driving the recognition process and the algorithms for training and efficiently deploying the models. It s rveys techniques for optimizing the various steps in an information extraction pipeline, adapting to dynamic data, integrating with existing entities and handling uncertainty in the extraction process. Information Extraction is an ideal reference for anyone with an interest in the fundamental concepts of this technology. It is also an invaluable resource for those researching, designing or deploying models for extraction.

  • CORDIC Circuits

    This chapter discusses the principles of COordinate Rotation DIgital Computer (CORDIC) operation, covering the elementary ideas from coordinate transformation to rotation mode and vectoring mode operations followed by design of the basic CORDIC cell and multidimensional CORDIC. The key concept of CORDIC arithmetic is based on the simple and ancient principles of two‐dimensional geometry. Not only a wide variety of applications of CORDIC have emerged over the years but also a lot of progress has been made in the area of algorithm design and development of architectures for high‐performance and low‐cost hardware solutions of those applications. The chapter also discusses the key developments in CORDIC algorithms and architectures, which covers the algorithms and architectures pertaining to high‐radix CORDIC, angle recording, coarse‐fine hybrid microrotations, redundant number representation, differential CORDIC, and pipeline implementation. It further discusses the scaling and accuracy aspects including the scaling techniques, scaling‐free CORDIC, quantization, and area‐delay‐accuracy trade‐off.

Standards related to Pipeline

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No standards are currently tagged "Pipeline"