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Journal articles on the topic 'Processing pipeline'

Author: Grafiati

Published: 4 June 2021

Last updated: 10 March 2023

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1

Safonov, Sergey, Vladislav Smolentsev, and Yana Smolentseva. "Mobile Processing of Pipeline Assembly Units." MATEC Web of Conferences 297 (2019): 02008. http://dx.doi.org/10.1051/matecconf/201929702008.

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The paper addresses the issues, related to the preparation of pipeline docking elements during the repair and recovery of pipelines in field conditions with a limited scope of technological equipment. It has been shown that the replacement of traditional processing methods by combined types of preparation of replaceable pipeline sections for welding can improve the accuracy of mating elements, preventing the occurrence of burrs at the joint. This enhances the quality of repair, ensures the tightness of pipelines, reduces the cost of operation and the period of pipeline recovery. The applicatio

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Ervina Efzan, Mohd Noor, and S. Kesahvanveraragu. "Review on Pipelines in Offshore Platform Processing System." Applied Mechanics and Materials 695 (November 2014): 684–87. http://dx.doi.org/10.4028/www.scientific.net/amm.695.684.

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Pipelines are essential for transporting energy utilities such as oil, natural gas and coal for the nation. Similarly, pipelines are the only medium installed at offshore region to convey oil, gas, chemicals and water. Currently, corrosion is being a major problem for offshore pipeline occurrences around the world. Hence, this paper discussed on the pipelines in offshore platform and the corrosion of corresponding pipeline materials.

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Shen, Hong, and Nobuyoshi Numata. "Instruction Scheduling on a Pipelined Processor for Mechanical Measurements." Key Engineering Materials 381-382 (June 2008): 647–48. http://dx.doi.org/10.4028/www.scientific.net/kem.381-382.647.

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Pipeline processing provides us an effective way to enhance processing speed with low hardware costs. However, pipeline hazards are obstacles to the smooth pipelined execution of instructions. This paper analyzes the pipeline hazards occur in a pipeline processor designed for data processing in mechanical measurements. Instruction scheduling and register renaming are performed to eliminate hazards. The simulation experiments are performed, and the effectiveness is confirmed.

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Kharabian Masouleh, Shahrzad, Simon B. Eickhoff, Yashar Zeighami, et al. "Influence of Processing Pipeline on Cortical Thickness Measurement." Cerebral Cortex 30, no. 9 (2020): 5014–27. http://dx.doi.org/10.1093/cercor/bhaa097.

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Abstract In recent years, replicability of neuroscientific findings, specifically those concerning correlates of morphological properties of gray matter (GM), have been subject of major scrutiny. Use of different processing pipelines and differences in their estimates of the macroscale GM may play an important role in this context. To address this issue, here, we investigated the cortical thickness estimates of three widely used pipelines. Based on analyses in two independent large-scale cohorts, we report high levels of within-pipeline reliability of the absolute cortical thickness-estimates

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Hu, Ke, Xinglan Bai, and Murilo A. Vaz. "Numerical Simulation on the Local Scour Processing and Influencing Factors of Submarine Pipeline." Journal of Marine Science and Engineering 11, no. 1 (2023): 234. http://dx.doi.org/10.3390/jmse11010234.

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To investigate the different influencing characteristics of local scour around submarine pipelines, hydrodynamic and sediment transport two-dimensional models based on Flow-3D are used to numerically simulate the local scour around the pipeline under steady currents. An RNG k-ε turbulence model is applied to simulate the turbulent flow field around the pipeline. The instantaneous shear stress of the bed surface is taken as the starting and transporting conditions of the sediment. The simulation results of the equilibrium scour depth and terrain around the pipeline are verified with the previou

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Gillmann, Christina, Pablo Arbelaez, Jose Hernandez, Hans Hagen, and Thomas Wischgoll. "An Uncertainty-Aware Visual System for Image Pre-Processing." Journal of Imaging 4, no. 9 (2018): 109. http://dx.doi.org/10.3390/jimaging4090109.

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Due to image reconstruction process of all image capturing methods, image data is inherently affected by uncertainty. This is caused by the underlying image reconstruction model, that is not capable to map all physical properties in its entirety. In order to be aware of these effects, image uncertainty needs to be quantified and propagated along the entire image processing pipeline. In classical image processing methodologies, pre-processing algorithms do not consider this information. Therefore, this paper presents an uncertainty-aware image pre-processing paradigm, that is aware of the input

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Ramanath, R., W. E. Snyder, Y. Yoo, and M. S. Drew. "Color image processing pipeline." IEEE Signal Processing Magazine 22, no. 1 (2005): 34–43. http://dx.doi.org/10.1109/msp.2005.1407713.

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Irwin, Mike, and Jim Lewis. "INT WFS pipeline processing." New Astronomy Reviews 45, no. 1-2 (2001): 105–10. http://dx.doi.org/10.1016/s1387-6473(00)00138-x.

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Chen, Rongxin, Zongyue Wang, and Yuling Hong. "Pipelined XPath Query Based on Cost Optimization." Scientific Programming 2021 (May 27, 2021): 1–16. http://dx.doi.org/10.1155/2021/5559941.

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XPath query is the key part of XML data processing, and its performance is usually critical for XML applications. In the process of XPath query, there is inherent seriality between query steps, which makes it difficult to parallelize the query effectively as a whole. On the other hand, although XPath query has the characteristics of data stream processing and is suitable for pipeline processing, the data flow of each query step usually varies a lot, which results in limited performance under multithreading conditions. In this paper, we propose a pipelined XPath query method (PXQ) based on cost

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Goto, Yoshimasa. "The Driving Pipeline: A Pipelined Architecture for Outdoor Mobile Robots." Journal of Robotics and Mechatronics 4, no. 3 (1992): 237–48. http://dx.doi.org/10.20965/jrm.1992.p0237.

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The Driving Pipeline is a driving control scheme for a mobile robot that drives the robot vehicle outdoors continuously and adaptively. Although the basic idea of the Driving Pipeline originates from a pipelined computer architecture, the Driving Pipeline adopts more complex execution management for adaptive vehicle motion. Like the pipelined computer architecture, the Driving Pipeline segments necessary computation for robot vehicle motion into several successive subprocesses and executes them on the pipelined processing modules that operate in parapel. Because of this pipelined architecture,

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Melet, O., D. Youssefi, C. L'Helguen, et al. "CO3D MISSION DIGITAL SURFACE MODEL PRODUCTION PIPELINE." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLIII-B2-2020 (August 12, 2020): 143–48. http://dx.doi.org/10.5194/isprs-archives-xliii-b2-2020-143-2020.

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Abstract. Earth Observation (EO) remote sensing missions are producing an increasing volume of data due to higher spatial and spectral resolutions, and higher frequency of acquisitions. Thus, in order to prepare the future of image processing pipelines, CNES has carried out Research &amp; Development studies related to the use of Big Data and Cloud technologies for image processing chains made. Since mid-2019, CNES in partnership with Airbus Defense &amp; Space, has started a new High Resolution Optical EO mission dedicated to very high resolution 3D observation called CO3D (“Constella

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Lay-Ekuakille, A., G. Griffo, D. Pellicanò, P. Maris, and M. Cacciola. "A Hardware for Processing Magnetic Pressure Sensor Signals from Leak Detection in Waterworks." International Journal of Measurement Technologies and Instrumentation Engineering 3, no. 3 (2013): 35–45. http://dx.doi.org/10.4018/ijmtie.2013070103.

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Leaks in pipelines and waterworks are detected using different methods and among them spectral analysis is one of the most interesting ones. Sources of signals to be processed are different, for example: reflected signals from ground penetrating radar and acoustic sources, signals from dedicated sensors mounted on pipelines, etc… In the latter case, magnetic pressure sensors located on the pipeline acquire vibrations and oscillations of liquids (e.g. water) in the pipeline, following a leak in the pipeline. These vibrations and oscillations are transformed in electrical signal and processed us

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Bashirov, M. G., E. M. Bashirova, and I. G. Yusupova. "Improving the Operational Safety of Process Pipelines for Hydrocarbon Processing Units." Chemistry and Technology of Fuels and Oils 625, no. 3 (2021): 10–16. http://dx.doi.org/10.32935/0023-1169-2021-625-3-10-16.

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The current state of ensuring the operational safety of technological pipelines of plants for the processing of hydrocarbon raw materials, the reasons for their failures, which can be accompanied by explosions and fires, the formation of mixtures that have a toxic effect on people and the environment. Insufficient efficiency of the methods and means for assessing their technical state, which are aimed at identifying already developed defects, the need to identify incipient defects in the metal structure against the background of a stress-strain state, are shown. It is proposed to use the trans

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Pang, Gaozhao, Niannian Wang, Hongyuan Fang, Hai Liu, and Fan Huang. "Study of Damage Quantification of Concrete Drainage Pipes Based on Point Cloud Segmentation and Reconstruction." Buildings 12, no. 2 (2022): 213. http://dx.doi.org/10.3390/buildings12020213.

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The urban drainage system is an important part of the urban water cycle. However, with the aging of drainage pipelines and other external reasons, damages such as cracks, corrosion, and deformation of underground pipelines can cause serious consequences such as urban waterlogging and road collapse. At present, the detection of underground drainage pipelines mostly focuses on the qualitative identification of pipeline damage, and it is impossible to quantitatively analyze pipeline damage. Therefore, a method to quantify the damage volume of concrete pipes that combines surface segmentation and

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Weilbacher, Peter M., Ralf Palsa, Ole Streicher, et al. "The data processing pipeline for the MUSE instrument." Astronomy & Astrophysics 641 (September 2020): A28. http://dx.doi.org/10.1051/0004-6361/202037855.

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The processing of raw data from modern astronomical instruments is often carried out nowadays using dedicated software, known as pipelines, largely run in automated operation. In this paper we describe the data reduction pipeline of the Multi Unit Spectroscopic Explorer (MUSE) integral field spectrograph operated at the ESO Paranal Observatory. This spectrograph is a complex machine: it records data of 1152 separate spatial elements on detectors in its 24 integral field units. Efficiently handling such data requires sophisticated software with a high degree of automation and parallelization. W

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Jiang, Haomiao, Qiyuan Tian, Joyce Farrell, and Brian A. Wandell. "Learning the Image Processing Pipeline." IEEE Transactions on Image Processing 26, no. 10 (2017): 5032–42. http://dx.doi.org/10.1109/tip.2017.2713942.

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Curcoll, R. Firpo, M. Delfino, C. Neissner, et al. "The MAGIC data processing pipeline." Journal of Physics: Conference Series 331, no. 3 (2011): 032040. http://dx.doi.org/10.1088/1742-6596/331/3/032040.

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Toga, Arthur W., David E. Rex, and Jeff Ma. "A graphical interoperable processing pipeline." NeuroImage 13, no. 6 (2001): 266. http://dx.doi.org/10.1016/s1053-8119(01)91609-x.

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Rex, David E., Jeffrey Q. Ma, and Arthur W. Toga. "The LONI Pipeline Processing Environment." NeuroImage 19, no. 3 (2003): 1033–48. http://dx.doi.org/10.1016/s1053-8119(03)00185-x.

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Brumer, Irène, Dominik F. Bauer, Lothar R. Schad, and Frank G. Zöllner. "Synthetic Arterial Spin Labeling MRI of the Kidneys for Evaluation of Data Processing Pipeline." Diagnostics 12, no. 8 (2022): 1854. http://dx.doi.org/10.3390/diagnostics12081854.

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Accurate quantification of perfusion is crucial for diagnosis and monitoring of kidney function. Arterial spin labeling (ASL), a completely non-invasive magnetic resonance imaging technique, is a promising method for this application. However, differences in acquisition (e.g., ASL parameters, readout) and processing (e.g., registration, segmentation) between studies impede the comparison of results. To alleviate challenges arising solely from differences in processing pipelines, synthetic data are of great value. In this work, synthetic renal ASL data were generated using body models from the

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Lai, Kwei-Herng, Daochen Zha, Guanchu Wang, et al. "TODS: An Automated Time Series Outlier Detection System." Proceedings of the AAAI Conference on Artificial Intelligence 35, no. 18 (2021): 16060–62. http://dx.doi.org/10.1609/aaai.v35i18.18012.

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We present TODS, an automated Time Series Outlier Detection System for research and industrial applications. TODS is a highly modular system that supports easy pipeline construction. The basic building block of TODS is primitive, which is an implementation of a function with hyperparameters. TODS currently supports 70 primitives, including data processing, time series processing, feature analysis, detection algorithms, and a reinforcement module. Users can freely construct a pipeline using these primitives and perform end- to-end outlier detection with the constructed pipeline. TODS provides a

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Lin, Ching-Heng, Nai-Yuan Wu, Wei-Shao Lai, and Der-Ming Liou. "Comparison of a semi-automatic annotation tool and a natural language processing application for the generation of clinical statement entries." Journal of the American Medical Informatics Association 22, no. 1 (2014): 132–42. http://dx.doi.org/10.1136/amiajnl-2014-002991.

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Abstract Background and objective Electronic medical records with encoded entries should enhance the semantic interoperability of document exchange. However, it remains a challenge to encode the narrative concept and to transform the coded concepts into a standard entry-level document. This study aimed to use a novel approach for the generation of entry-level interoperable clinical documents. Methods Using HL7 clinical document architecture (CDA) as the example, we developed three pipelines to generate entry-level CDA documents. The first approach was a semi-automatic annotation pipeline (SAAP

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Alblehai, Fahad. "A Caching-Based Pipelining Model for Improving the Input/Output Performance of Distributed Data Storage Systems." Journal of Nanoelectronics and Optoelectronics 17, no. 6 (2022): 946–57. http://dx.doi.org/10.1166/jno.2022.3269.

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Distributed data storage requires swift input/output (I/O) processing features to prevent pipelines from balancing requests and responses. Unpredictable data streams and fetching intervals congest the data retrieval from distributed systems. To address this issue, in this article, a Coordinated Pipeline Caching Model (CPCM) is proposed. The proposed model distinguishes request and response pipelines for different intervals of time by reallocating them. The reallocation is performed using storage and service demand analysis; in the analysis, edge-assisted federated learning is utilized. The sha

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Liu, Bao Jun, Ling Zhang, and Chen Guan. "Hydraulic Experimental Study on Nonmetallic Plastic Pipeline." Advanced Materials Research 594-597 (November 2012): 1961–64. http://dx.doi.org/10.4028/www.scientific.net/amr.594-597.1961.

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Corrosion of steel pipeline can form numerous leaks, reduce service life of pipeline, and make large losses. Use of nonmetallic pipeline can solve the problem. Glass fiber reinforced plastic pipeline is nonmetallic pipeline. It can be installed conveniently, would not corrode in electrochemistry environment, and its service life is very long. So, it is widely used in many fields such as petroleum, city water supply, waste water processing, etc. In the paper, hydraulic calculations of pipeline are researched, and frictional resistance losses of water in glass fiber reinforced plastic pipelines

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Sankarasubramanian, Praveen, and Dr Ganesh E.N. "IoT based Optimal Liquid Metal Pipeline Damage Detection Using Hybrid Soft Computing Techniques." NeuroQuantology 20, no. 5 (2022): 773–84. http://dx.doi.org/10.14704/nq.2022.20.5.nq22234.

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The pipeline plays an important role in transporting liquid metals over long distances. However, due to the harsh conditions on the construction site, the pipelines are always exposed to structural damage due to corrosion, damage, etc. These pipelines are often vulnerable to natural and third-party events such as explosions, earthquakes, explosions, drilling and vehicle traffic. Methods for monitoring liquid metal pipes include the use of continuous pipe assessments and pipe integration management systems. One of the biggest challenges faced by liquid metal pipeline system in the past has been

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Tibi, Rigobert, Andre Encarnacao, Sanford Ballard, Christopher J. Young, Ronald Brogan, and Amy Sundermier. "The Iterative Processing Framework: A New Paradigm for Automatic Event Building." Bulletin of the Seismological Society of America 109, no. 6 (2019): 2501–9. http://dx.doi.org/10.1785/0120190093.

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Abstract In a traditional data‐processing pipeline, waveforms are acquired, a detector makes the signal detections (i.e., arrival times, slownesses, and azimuths) and passes them to an associator. The associator then links the detections to the fitting‐event hypotheses to generate an event bulletin. Most of the time, this traditional pipeline requires substantial human‐analyst involvement to improve the quality of the resulting event bulletin. For the year 2017, for example, International Data Center (IDC) analysts rejected about 40% of the events in the automatic bulletin and manually built 3

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Ewels, Philip, Felix Krueger, Max Käller, and Simon Andrews. "Cluster Flow: A user-friendly bioinformatics workflow tool." F1000Research 5 (December 6, 2016): 2824. http://dx.doi.org/10.12688/f1000research.10335.1.

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Pipeline tools are becoming increasingly important within the field of bioinformatics. Using a pipeline manager to manage and run workflows comprised of multiple tools reduces workload and makes analysis results more reproducible. Existing tools require significant work to install and get running, typically needing pipeline scripts to be written from scratch before running any analysis. We present Cluster Flow, a simple and flexible bioinformatics pipeline tool designed to be quick and easy to install. Cluster Flow comes with 40 modules for common NGS processing steps, ready to work out of the

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Ewels, Philip, Felix Krueger, Max Käller, and Simon Andrews. "Cluster Flow: A user-friendly bioinformatics workflow tool." F1000Research 5 (May 2, 2017): 2824. http://dx.doi.org/10.12688/f1000research.10335.2.

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Pipeline tools are becoming increasingly important within the field of bioinformatics. Using a pipeline manager to manage and run workflows comprised of multiple tools reduces workload and makes analysis results more reproducible. Existing tools require significant work to install and get running, typically needing pipeline scripts to be written from scratch before running any analysis. We present Cluster Flow, a simple and flexible bioinformatics pipeline tool designed to be quick and easy to install. Cluster Flow comes with 40 modules for common NGS processing steps, ready to work out of the

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Bianco, Simone, Gianluigi Ciocca, and Davide Marelli. "Evaluating the Performance of Structure from Motion Pipelines." Journal of Imaging 4, no. 8 (2018): 98. http://dx.doi.org/10.3390/jimaging4080098.

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Structure from Motion (SfM) is a pipeline that allows three-dimensional reconstruction starting from a collection of images. A typical SfM pipeline comprises different processing steps each of which tackles a different problem in the reconstruction pipeline. Each step can exploit different algorithms to solve the problem at hand and thus many different SfM pipelines can be built. How to choose the SfM pipeline best suited for a given task is an important question. In this paper we report a comparison of different state-of-the-art SfM pipelines in terms of their ability to reconstruct different

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Leroy, Adam K., Annie Hughes, Daizhong Liu, et al. "PHANGS–ALMA Data Processing and Pipeline." Astrophysical Journal Supplement Series 255, no. 1 (2021): 19. http://dx.doi.org/10.3847/1538-4365/abec80.

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Andrews, Peter, Charles Baltay, Anne Bauer, et al. "The QUEST Data Processing Software Pipeline." Publications of the Astronomical Society of the Pacific 120, no. 868 (2008): 703–14. http://dx.doi.org/10.1086/588828.

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Warburton, Kara. "Processing terminology for the translation pipeline." Terminology 19, no. 1 (2013): 93–111. http://dx.doi.org/10.1075/term.19.1.04war.

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Companies must translate their content if they want to operate multinationally. Both quality and speed of translation are key factors in determining market share in the target market. Proactively managing terminology, including pre-translating key terms for a translation project, has beneficial effects on these factors. However, in commercial environments, the volumes of content and subsequently of the required terminology are typically large. Therefore, integrating terminology into the translation pipeline requires a process that is as automated as possible. Term extraction is the cornerstone

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Stagg, Scott M., and Joshua H. Mendez. "Processing apoferritin with the Appion pipeline." Journal of Structural Biology 204, no. 1 (2018): 85–89. http://dx.doi.org/10.1016/j.jsb.2018.06.009.

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Zuo, S., J. Li, Y. Li, et al. "Data processing pipeline for Tianlai experiment." Astronomy and Computing 34 (January 2021): 100439. http://dx.doi.org/10.1016/j.ascom.2020.100439.

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Shamir, Lior, and Robert J. Nemiroff. "Astronomical pipeline processing using fuzzy logic." Applied Soft Computing 8, no. 1 (2008): 79–87. http://dx.doi.org/10.1016/j.asoc.2006.10.013.

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Shipman, R. F., S. F. Beaulieu, D. Teyssier, et al. "Data processing pipeline for Herschel HIFI." Astronomy & Astrophysics 608 (December 2017): A49. http://dx.doi.org/10.1051/0004-6361/201731385.

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Context. The HIFI instrument on the Herschel Space Observatory performed over 9100 astronomical observations, almost 900 of which were calibration observations in the course of the nearly four-year Herschel mission. The data from each observation had to be converted from raw telemetry into calibrated products and were included in the Herschel Science Archive. Aims. The HIFI pipeline was designed to provide robust conversion from raw telemetry into calibrated data throughout all phases of the HIFI missions. Pre-launch laboratory testing was supported as were routine mission operations. Methods.

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Li, Rui, Maolin Cai, Yan Shi, Qingshan Feng, and Pengchao Chen. "Technologies and application of pipeline centerline and bending strain of In-line inspection based on inertial navigation." Transactions of the Institute of Measurement and Control 40, no. 5 (2017): 1554–67. http://dx.doi.org/10.1177/0142331216685392.

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Inertial mapping unit (IMU) in-line inspection (ILI) has become routine practice for long-distance buried transport pipelines of oil and gas. It is capable of measuring the pipeline centerline position coordinates and locating the pipeline anomalies, features and fittings to help the oil company manage it. The IMU inspection data also can be used to compute the pipeline bending strain and assess the potential deviation from the original position where endures the extra stress. This paper introduces the main principle, measurement and data processing for IMU ILI. As a key point of calculation f

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Kalasarinis, Ioannis, and Anestis Koutsoudis. "Assisting Pottery Restoration Procedures with Digital Technologies." International Journal of Computational Methods in Heritage Science 3, no. 1 (2019): 20–32. http://dx.doi.org/10.4018/ijcmhs.2019010102.

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The fragmentary nature of pottery is considered a common place. Conservators are requested to apply a proper restoration solution by taking under consideration a wide range of morphological features and physicochemical properties that derive from the artefact itself. In this work, the authors discuss on a low-cost pottery-oriented restoration pipeline that is based on the exploitation of technologies such as 3D digitisation, data analysis, processing and printing. The pipeline uses low-cost commercial and open source software tools and on the authors' previously published 3D pose normalisation

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Tang, Jian, Wenxiu Yu, Guoxin Zhao, Xiangdong Jiao, and Xuepeng Ding. "Application of Bispectrum Dimensionality Reduction Method in Ultrasonic Echo Signal Processing." Journal of Advanced Computational Intelligence and Intelligent Informatics 26, no. 6 (2022): 1053–60. http://dx.doi.org/10.20965/jaciii.2022.p1053.

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Processing ultrasonic echo signals to obtain high-precision residual thickness information of the pipeline wall is the key to nondestructive testing of corrosion of a long-distance pipeline. The traditional power spectrum estimation method assumes that an analyzed echo signal is Gaussian, and the useful information is insufficiently extracted, which leads to errors in the processing results. In this paper, to solve this problem, the bispectrum, which requires the least amount of computation in higher-order spectral estimation, is proposed to process an echo signal with a non-minimum phase and

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Dai, Bo, and Ming Lu Ma. "An Automatic Measurement for Pipeline Thickness Detection Using Ultrasonic Method." Applied Mechanics and Materials 229-231 (November 2012): 1427–36. http://dx.doi.org/10.4028/www.scientific.net/amm.229-231.1427.

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The measurement of wall thickness of pipelines is an important procedure of pipeline corrosion inspection. This procedure can be done automatically in a computer by processing data acquired from ultrasound probe, forming C-scan image, and running thickness detection algorithms. This paper presents in detail the comparison of three ways of processing, which are FFT algorithm, twice FFT algorithm, and improved twice FFT algorithm. The final results show that improved twice FFT algorithm has the best precision compared with the other two algorithms. It has higher accuracy than FFT algorithm and l

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Do, Hoa Xuan, and Lan Cao Mai. "Numerical modeling of Slug flows in multiphase pipeline system of lion offshore oil fields." Science and Technology Development Journal 19, no. 1 (2016): 16–26. http://dx.doi.org/10.32508/stdj.v19i1.501.

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Oil and gas transportation by the pipelines among different production wells from one or more reservoirs is one primary part of an oil field development plan. When multiple pipelines transporting oil and gas from different fields are collected on the same Central Processing Platform (CPP) or Floating Production Storage Offloading (FPSO), however, the fluid behavior in multiphase flow pipelines become more complicated and often cause slugging problems that badly impact on downstream facility performance. It is, therefore, necessary to investigate the slug flow to control and/or improve flow sta

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FERNANDES, RONALD, SANJAY KAMAT, and ARKADY KANEVSKY. "THE DESIGN OF OPTIMAL NMR PIPELINE SYSTEMS." International Journal of Reliability, Quality and Safety Engineering 01, no. 02 (1994): 277–90. http://dx.doi.org/10.1142/s0218539394000209.

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In this paper we develop a pipeline processing system called NMR pipeline. In an NMR pipeline, processing elements at each stage are replicated to achieve high fault tolerance. Each stage of the pipeline is an N-Modular Redundant (NMR) System. This design combines the benefits of pipeline processing and NMR systems and is suitable for high speed safety-critical computing. Reliability analysis of this system is presented taking into account possible failures of processing and communication elements. The optimality of the system is defined in terms a suitably defined cost function that accounts

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Zhou, Peng, Xiaoqing Peng, Hai Zhu, et al. "Research on 3-D Precise Mapping System for Deformation Defects of Submarine Pipeline." Marine Technology Society Journal 57, no. 1 (2023): 35–43. http://dx.doi.org/10.4031/mtsj.57.1.6.

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Abstract The submarine oil pipeline has many advantages, such as large oil transportation capacity, and being fast and economical. However, long-term laid submarine oil pipelines are affected by reciprocating load of water flow, subsidence caused by soil liquefaction, ship anchorage operation, etc. In severe cases, it causes overall distortion of a small section of the submarine pipeline, profoundly affecting the safety of the submarine pipeline, which is a significant safety hazard for the health of the marine environment and potentially impacting social and economic benefits. Taking the Cezi

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Reischl, Markus, Andreas Bartschat, Urban Liebel, Jochen Gehrig, Ference Müller, and Ralf Mikut. "ZebrafishMiner: an open source software for interactive evaluation of domain-specific fluorescence in zebrafish." Current Directions in Biomedical Engineering 3, no. 2 (2017): 199–202. http://dx.doi.org/10.1515/cdbme-2017-0042.

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AbstractHigh-throughput microscopy makes it possible to observe the morphology of zebrafish on large scale to quantify genetic, toxic or drug effects. The image acquisition is done by automated microscopy, images are evaluated automatically by image processing pipelines, tailored specifically to the requirements of the scientific question. The transfer of such algorithms to other projects, however, is complex due to missing guidelines and lack of mathematical or programming knowledge. In this work, we implement an image processing pipeline for automatic fluorescence quantification in user-defi

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Yang, Ya Ping, Yong Mei Hao, and Zhi Xiang Xing. "Multi-Factor and Polymorphism Failure Probability Calculation for Natural Gas Pipelines." Applied Mechanics and Materials 401-403 (September 2013): 2170–74. http://dx.doi.org/10.4028/www.scientific.net/amm.401-403.2170.

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A Bayesian network quantitative calculation model for urban natural gas pipelines was established by using the unique logic of a Bayesian network in handling complicated risk systems. By using a natural gas pipeline as an example, failure situations such as single factor polymorphism, double factor polymorphism, and multi-factor polymorphism of a pipeline were quantitatively calculated to obtain the probability of top events and the structural importance of basic factors. The proposed method not only reflects clearly the effects of different factors but also predicts the failure state of urban

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Xu, Yifei, Fan Yang-Turner, Denis Volk, and Derrick Crook. "NanoSPC: a scalable, portable, cloud compatible viral nanopore metagenomic data processing pipeline." Nucleic Acids Research 48, W1 (2020): W366—W371. http://dx.doi.org/10.1093/nar/gkaa413.

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Abstract Metagenomic sequencing combined with Oxford Nanopore Technology has the potential to become a point-of-care test for infectious disease in public health and clinical settings, providing rapid diagnosis of infection, guiding individual patient management and treatment strategies, and informing infection prevention and control practices. However, publicly available, streamlined, and reproducible pipelines for analyzing Nanopore metagenomic sequencing data are still lacking. Here we introduce NanoSPC, a scalable, portable and cloud compatible pipeline for analyzing Nanopore sequencing da

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Fu, Shenming, Ian Dell’Antonio, Ranga-Ram Chary, et al. "LoVoCCS. I. Survey Introduction, Data Processing Pipeline, and Early Science Results." Astrophysical Journal 933, no. 1 (2022): 84. http://dx.doi.org/10.3847/1538-4357/ac68e8.

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Abstract We present the Local Volume Complete Cluster Survey (LoVoCCS; we pronounce it as “low-vox” or “law-vox,” with stress on the second syllable), an NSF’s National Optical-Infrared Astronomy Research Laboratory survey program that uses the Dark Energy Camera to map the dark matter distribution and galaxy population in 107 nearby (0.03 < z < 0.12) X-ray luminous ([0.1–2.4 keV] L X500 > 1044 erg s−1) galaxy clusters that are not obscured by the Milky Way. The survey will reach Vera C. Rubin Observatory Legacy Survey of Space and Time (LSST) Year 1–2 depth (for galaxies r = 24.5, i

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Alharbi, Mohammad, Matthew Roach, Tom Cheesman, and Robert S. Laramee. "VNLP: Visible natural language processing." Information Visualization 20, no. 4 (2021): 245–62. http://dx.doi.org/10.1177/14738716211038898.

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In general, Natural Language Processing (NLP) algorithms exhibit black-box behavior. Users input text and output are provided with no explanation of how the results are obtained. In order to increase understanding and trust, users value transparent processing which may explain derived results and enable understanding of the underlying routines. Many approaches take an opaque approach by default when designing NLP tools and do not incorporate a means to steer and manipulate the intermediate NLP steps. We present an interactive, customizable, visual framework that enables users to observe and pa

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Ye, Ji Hua, Qi Xie, and Yao Hong Xiahou. "Simulation and Implementation of HLA-Based Branch Predictor of Multi-Pipeline Processor." Applied Mechanics and Materials 204-208 (October 2012): 4952–57. http://dx.doi.org/10.4028/www.scientific.net/amm.204-208.4952.

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Researched how the multi-pipeline processor accelerates the running of thread ,found that when the branch predictor facing the random branch instruction, the hit rate will become very low, so bring out a new method that using the free pipeline to accelerate the running of branch instruction. If the right prediction from branch predictor is less than 70% and there is a free pipeline, then using two pipelines to run the two sides of a branch instruction at the same time. In order to test the new method, the HLA (High Level architecture) architecture-based simulation system is established, the re

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Shakurova, R. Z., S. O. Gaponenko, and A. E. Kondratiev. "Technique for operational diagnosis of pipelines of energy systems and complexes." Power engineering: research, equipment, technology 22, no. 6 (2021): 188–201. http://dx.doi.org/10.30724/1998-9903-2020-22-6-188-201.

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THE PURPOSE. To consider the problems of reliability of pipeline systems of housing and communal services. To analyze existing methods for assessing the technical condition of pipelines. To develop an improved technique that allows you to search for various types of defects in pipelines. To develop a device for inertial excitation of low-frequency diagnostic vibration vibrations. To develop software in the LabVIEW environment for collecting, storing and processing signals from a sensitive sensor (piezoelectric sensor) installed on a pipeline. To conduct a series of experimental studies to te s

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