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Relevant bibliographies by topics / Electronic data processing – Batch processing

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Academic literature on the topic 'Electronic data processing – Batch processing'

Author: Grafiati

Published: 4 June 2021

Last updated: 30 July 2024

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Journal articles on the topic "Electronic data processing – Batch processing"

1

Akanbi, Adeyinka, and Muthoni Masinde. "A Distributed Stream Processing Middleware Framework for Real-Time Analysis of Heterogeneous Data on Big Data Platform: Case of Environmental Monitoring." Sensors 20, no. 11 (2020): 3166. http://dx.doi.org/10.3390/s20113166.

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In recent years, the application and wide adoption of Internet of Things (IoT)-based technologies have increased the proliferation of monitoring systems, which has consequently exponentially increased the amounts of heterogeneous data generated. Processing and analysing the massive amount of data produced is cumbersome and gradually moving from classical ‘batch’ processing—extract, transform, load (ETL) technique to real-time processing. For instance, in environmental monitoring and management domain, time-series data and historical dataset are crucial for prediction models. However, the envir

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Demirezen, Mustafa Umut, and Tuğba Selcen Navruz. "Performance Analysis of Lambda Architecture-Based Big-Data Systems on Air/Ground Surveillance Application with ADS-B Data." Sensors 23, no. 17 (2023): 7580. http://dx.doi.org/10.3390/s23177580.

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This study introduces a novel methodology designed to assess the accuracy of data processing in the Lambda Architecture (LA), an advanced big-data framework qualified for processing streaming (data in motion) and batch (data at rest) data. Distinct from prior studies that have focused on hardware performance and scalability evaluations, our research uniquely targets the intricate aspects of data-processing accuracy within the various layers of LA. The salient contribution of this study lies in its empirical approach. For the first time, we provide empirical evidence that validates previously t

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Liu, Wei, Yu Yue Du, You Fu, and Chun Yan. "A Formal Representation of Collaborative Electronic Commerce Systems by Workflow Nets." Applied Mechanics and Materials 170-173 (May 2012): 3570–74. http://dx.doi.org/10.4028/www.scientific.net/amm.170-173.3570.

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Combining the advantages of logical workflow nets and colored Petri nets, logical and colored workflow nets and collaborative logical and colored workflow nets are presented to facilitate the modeling of cooperative electronic commerce systems. The formal representation presented in this paper can not only describe the data objects, but also represent passing value indeterminacy and batch processing function of cooperative electronic commerce systems.

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Szmajduch, Magdalena. "Data and Task Scheduling in Distributed Computing Environments." Journal of Telecommunications and Information Technology, no. 4 (December 30, 2014): 71–78. http://dx.doi.org/10.26636/jtit.2014.4.1049.

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Data-aware scheduling in today’s large-scale heterogeneous environments has become a major research and engineering issue. Data Grids (DGs), Data Clouds (DCs) and Data Centers are designed for supporting the processing and analysis of massive data, which can be generated by distributed users, devices and computing centers. Data scheduling must be considered jointly with the application scheduling process. It generates a wide family of global optimization problems with the new scheduling criteria including data transmission time, data access and processing times, reliability of the data servers

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BĂJENESCU, Titu-Marius. "Quality and Reliability Evolution of Electronic Components." Electrotehnica, Electronica, Automatica 70, no. 2 (2022): 1–8. http://dx.doi.org/10.46904/eea.22.70.2.1108001.

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Today, most of the companies understand that the reliability must be built in at the design phase and then, monitored during the whole manufacturing process. Reliability building means the totality of techniques and procedures having the goal to ensure a foreseen reliability level for a given product. This concept is linked with reliability assessing, which cover the whole evaluation system aiming to find out and record, during and after the manufacturing process, the reliability level of the batch of products. This evaluation system contains tests, electrical measurements, failure analysis an

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Ahn, Sang Un, and Jin Kim. "A Conceptual Design of Job Pre-processing Flow for Heterogeneous Batch Systems in Data Center." Wireless Personal Communications 89, no. 3 (2016): 847–61. http://dx.doi.org/10.1007/s11277-016-3224-x.

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Zhang, Weikang, Desheng Wen, Zongxi Song, Xin Wei, Gang Liu, and Zhixin Li. "High Resolution and Fast Processing of Spectral Reconstruction in Fourier Transform Imaging Spectroscopy." Sensors 18, no. 12 (2018): 4159. http://dx.doi.org/10.3390/s18124159.

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High-resolution spectrum estimation has continually attracted great attention in spectrum reconstruction based on Fourier transform imaging spectroscopy (FTIS). In this paper, a parallel solution for interference data processing using high-resolution spectrum estimation is proposed to reconstruct the spectrum in a fast high-resolution way. In batch processing, we use high-performance parallel-computing on the graphics processing unit (GPU) for higher efficiency and lower operation time. In addition, a parallel processing mechanism is designed for our parallel algorithm to obtain higher perform

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Chen, Lipei, Cheng Xu, Shuai Lin, Siqi Li, and Xiaohan Tu. "A Deep Learning-Based Method for Overhead Contact System Component Recognition Using Mobile 2D LiDAR." Sensors 20, no. 8 (2020): 2224. http://dx.doi.org/10.3390/s20082224.

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The overhead contact system (OCS) is a critical railway infrastructure for train power supply. Periodic inspections, aiming at acquiring the operational condition of the OCS and detecting problems, are necessary to guarantee the safety of railway operations. One of the OCS inspection means is to analyze data of point clouds collected by mobile 2D LiDAR. Recognizing OCS components from the collected point clouds is a critical task of the data analysis. However, the complex composition of OCS makes the task difficult. To solve the problem of recognizing multiple OCS components, we propose a new

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Yang, Sen, Xiaobao Wang, Qijuan Yang, Enzeng Dong, and Shengzhi Du. "Instance Segmentation Based on Improved Self-Adaptive Normalization." Sensors 22, no. 12 (2022): 4396. http://dx.doi.org/10.3390/s22124396.

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The single batch normalization (BN) method is commonly used in the instance segmentation algorithms. The batch size is concerned with some drawbacks. A too small sample batch size leads to a sharp drop in accuracy, but a too large batch may result in the memory overflow of graphic processing units (GPU). These problems make BN not feasible to some instance segmentation tasks with inappropriate batch sizes. The self-adaptive normalization (SN) method, with an adaptive weight loss layer, shows good performance in instance segmentation algorithms, such as the YOLACT. However, the parameter averag

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Mao, Ning, Haigang Yang, and Zhihong Huang. "An Instruction-Driven Batch-Based High-Performance Resource-Efficient LSTM Accelerator on FPGA." Electronics 12, no. 7 (2023): 1731. http://dx.doi.org/10.3390/electronics12071731.

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In recent years, long short-term memory (LSTM) has been used in many speech recognition tasks, due to its excellent performance. Due to a large amount of calculation and complex data dependencies of LSTM, it is often not so efficient to deploy on the field-programmable gate array (FPGA) platform. This paper proposes an LSTM accelerator, driven by a specific instruction set. The accelerator consists of a matrix multiplication unit and a post-processing unit. The matrix multiplication unit uses staggered timing of read data to reduce register usage. The post-processing unit can complete various

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Dissertations / Theses on the topic "Electronic data processing – Batch processing"

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Mailhe, Maxime. "Batch processing task optimization." Thesis, Georgia Institute of Technology, 1994. http://hdl.handle.net/1853/11893.

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Snowdon, Jane Louise. "Workflow control for surges from a batch work station." Diss., Georgia Institute of Technology, 1994. http://hdl.handle.net/1853/25100.

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Manjeshwar, Praveen Kumar. "Scheduling batch processing machines in a flow shop." Diss., Online access via UMI:, 2005.

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Hirani, Neal S. "Scheduling parallel batch processing machines to minimize makespan using genetic algorithms." Diss., Online access via UMI:, 2006.

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Lakshmanan, Nithya M. "Estimation and control of nonlinear batch processes using multiple linear models." Thesis, Georgia Institute of Technology, 1997. http://hdl.handle.net/1853/11835.

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Liu, Bin. "Optimization strategies for data warehouse maintenance in distributed environments." Link to electronic thesis, 2002. http://www.wpi.edu/Pubs/ETD/Available/etd-0430102-133814.

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Turver, Kim D. "Batch Processing of Flight Test Data." International Foundation for Telemetering, 1993. http://hdl.handle.net/10150/611885.

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International Telemetering Conference Proceedings / October 25-28, 1993 / Riviera Hotel and Convention Center, Las Vegas, Nevada<br>Boeing's Test Data Retrieval System not only acts as an interface between the Airborne Data Acquisition System and a mainframe computer but also does batch mode processing of data at faster than real time. Analysis engineers request time intervals and measurements of interest. Time intervals and measurements requested are acquired from the flight tape, converted to first order engineering units, and output to 3480 data cartridge tape for post processing. This allo

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Svenselius, Wilhelm. "Batch processing in RESTful web services." Thesis, KTH, Skolan för informations- och kommunikationsteknik (ICT), 2015. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-174854.

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Network latency is one of the most significant causes of poor performance in web services, as it is not uncommon for latency to take up a greater share of the total time from request to response than the actual processing time on the server. Working within the well-established REST architectural style for web services, we examine HTTP pipelining and composite representation using multipart/mixed as potential means of reducing the effects of latency on batched operations, using experimental implementations of both approaches to test their performance in different scenarios. The results indicate

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Rehfuss, Paul Stephen. "Parallelism in contextual processing /." Full text open access at:, 1999. http://content.ohsu.edu/u?/etd,272.

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Pufahl, Luise, Andreas Meyer, and Mathias Weske. "Batch regions : process instance synchronization based on data." Universität Potsdam, 2013. http://opus.kobv.de/ubp/volltexte/2014/6908/.

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Business process automation improves organizations’ efficiency to perform work. In existing business process management systems, process instances run independently from each other. However, synchronizing instances carrying similar characteristics, i.e., sharing the same data, can reduce process execution costs. For example, if an online retailer receives two orders from one customer, there is a chance that they can be packed and shipped together to save shipment costs. In this paper, we use concepts from the database domain and introduce data views to business processes to identify instances

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Books on the topic "Electronic data processing – Batch processing"

1

Richardson, Ronny. Batch files to go: A programmer's library. Windcrest, 1992.

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Barker, Mike. Practical batch process management. Newnes, 2005.

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Dan, Gookin, ed. Enhanced batch file programming. 2nd ed. Windcrest, 1992.

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Richardson, Ronny. The Ultimate batch file book! McGraw-Hill, 1995.

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Tornsdorf, M. Batch file powertools. Abacus, 1991.

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Tornsdorf, M. Batch file powertools. Abacus, 1991.

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Hotovy, Steven. Workload evolution on the Cornell Theory Center IBM SP2. Cornell Theory Center, Cornell University, 1996.

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Shammas, Namir Clement. Windows batch file programming. 2nd ed. McGraw Hill, 1996.

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Bjelland, Harley. Outrageous DR DOS batch file programming. Windcrest, 1993.

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N, Sharratt P., ed. Handbook of batch process design. Blackie, 1997.

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Book chapters on the topic "Electronic data processing – Batch processing"

1

Bingham, John. "Batch-Processing Systems." In Data Processing. Macmillan Education UK, 1989. http://dx.doi.org/10.1007/978-1-349-19938-9_17.

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Walsh, Vincent. "Electronic Data Processing." In Computer Literacy. Macmillan Education UK, 1985. http://dx.doi.org/10.1007/978-1-349-07674-1_13.

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Koch, Wolfgang. "On Recursive Batch Processing." In Tracking and Sensor Data Fusion. Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-39271-9_5.

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Malley, Brian, Daniele Ramazzotti, and Joy Tzung-yu Wu. "Data Pre-processing." In Secondary Analysis of Electronic Health Records. Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-43742-2_12.

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Klemm, Anna, and Kota Miura. "Batch Processing Methods in ImageJ." In Bioimage Data Analysis Workflows ‒ Advanced Components and Methods. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-76394-7_2.

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AbstractIn this chapter you will learn how to execute a workflow on not only one image but on several images in ImageJ – a technique that is called “Batch Processing”. Various ways of doing this are possible in the Fiji distribution of ImageJ, and the characteristics of each and how-to are explained.

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Younes, Hamoud, Mohamad Alameh, Ali Ibrahim, Mostafa Rizk, and Maurizio Valle. "Efficient Algorithms for Embedded Tactile Data Processing." In Electronic Skin. River Publishers, 2022. http://dx.doi.org/10.1201/9781003338062-6.

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Phan, Trong Nhan, and Tran Khanh Dang. "An Efficient Batch Similarity Processing with MapReduce." In Future Data and Security Engineering. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-030-03192-3_12.

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Vidyasankar, K. "Batch Composite Transactions in Stream Processing." In Transactions on Large-Scale Data- and Knowledge-Centered Systems XXXIV. Springer Berlin Heidelberg, 2017. http://dx.doi.org/10.1007/978-3-662-55947-5_2.

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Padungweang, Praisan, Worrawat Engchuan, and Jonathan H. Chan. "TNorm: An Unsupervised Batch Effects Correction Method for Gene Expression Data Classification." In Neural Information Processing. Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-26532-2_45.

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Quinto, Butch. "Batch and Real-Time Data Ingestion and Processing." In Next-Generation Big Data. Apress, 2018. http://dx.doi.org/10.1007/978-1-4842-3147-0_7.

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Conference papers on the topic "Electronic data processing – Batch processing"

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Shen, HaoXuan, Lijie Fan, and Shuguang Li. "Fast approximation algorithms for scheduling uniform parallel batch machines with processing set restrictions." In Third International Conference on Electronic Information Engineering, Big Data, and Computer Technology (EIBDCT 2024), edited by Jie Zhang and Ning Sun. SPIE, 2024. http://dx.doi.org/10.1117/12.3031064.

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Benjelloun, Sarah, Mohamed El Mehdi El Aissi, Yassine Loukili, et al. "Big Data Processing: Batch-based processing and stream-based processing." In 2020 Fourth International Conference On Intelligent Computing in Data Sciences (ICDS). IEEE, 2020. http://dx.doi.org/10.1109/icds50568.2020.9268684.

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Pichugina, Oksana, and Nadezhda Muravyova. "Data Batch Processing: Modelling and Applications." In 2020 IEEE International Conference on Problems of Infocommunications. Science and Technology (PIC S&T). IEEE, 2020. http://dx.doi.org/10.1109/picst51311.2020.9467928.

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Pfandzelter, Tobias, and David Bermbach. "IoT Data Processing in the Fog: Functions, Streams, or Batch Processing?" In 2019 IEEE International Conference on Fog Computing (ICFC). IEEE, 2019. http://dx.doi.org/10.1109/icfc.2019.00033.

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Hadian, Ali, and Thomas Heinis. "Towards Batch-Processing on Cold Storage Devices." In 2018 IEEE 34th International Conference on Data Engineering Workshops (ICDEW). IEEE, 2018. http://dx.doi.org/10.1109/icdew.2018.00028.

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Gonthier, Maxime, Elisabeth Larsson, Loris Marchal, Carl Nettelblad, and Samuel Thibault. "Data-Driven Locality-Aware Batch Scheduling." In 2024 IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPSW). IEEE, 2024. http://dx.doi.org/10.1109/ipdpsw63119.2024.00058.

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Bingmann, Timo, Michael Axtmann, Emanuel Jobstl, et al. "Thrill: High-performance algorithmic distributed batch data processing with C++." In 2016 IEEE International Conference on Big Data (Big Data). IEEE, 2016. http://dx.doi.org/10.1109/bigdata.2016.7840603.

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Fino, Alessio, Alessandro Margara, Gianpaolo Cugola, Marco Donadoni, and Edoardo Morassutto. "RStream: Simple and Efficient Batch and Stream Processing at Scale." In 2021 IEEE International Conference on Big Data (Big Data). IEEE, 2021. http://dx.doi.org/10.1109/bigdata52589.2021.9671932.

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Choudhury, Farhana M., J. Shane Culpepper, and Timos Sellis. "Batch processing of Top-k Spatial-textual Queries." In SIGMOD/PODS'15: International Conference on Management of Data. ACM, 2015. http://dx.doi.org/10.1145/2786006.2786008.

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"Dynamic Scheduling for Batch Data Processing in Parallel Systems." In International Conference on Operations Research and Enterprise Systems. SCITEPRESS - Science and and Technology Publications, 2014. http://dx.doi.org/10.5220/0004833002210225.

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Reports on the topic "Electronic data processing – Batch processing"

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Overberg, Mark E., Kent Martin Geib, Darwin Keith Serkland, Alan Yuan-Chun Hsu, Gordon Arthur Keeler, and Patrick Sean Finnegan. Electronic/photonic interfaces for ultrafast data processing. Office of Scientific and Technical Information (OSTI), 2008. http://dx.doi.org/10.2172/940521.

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Minton, Jon. Merging, exploring, and batch processing data from the Human Fertility Database and Human Mortality Database. Max Planck Institute for Demographic Research, 2015. http://dx.doi.org/10.4054/mpidr-tr-2015-001.

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Herman, C. C. Supplemental Solubility Data for SRAT Processing of Sludge Batch 3 with H-Canyon Slurry Containing Precipitated Pu and Gd in DWPF. Office of Scientific and Technical Information (OSTI), 2003. http://dx.doi.org/10.2172/807927.

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Borgwardt, Stefan, Walter Forkel, and Alisa Kovtunova. Finding New Diamonds: Temporal Minimal-World Query Answering over Sparse ABoxes. Technische Universität Dresden, 2019. http://dx.doi.org/10.25368/2023.223.

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Lightweight temporal ontology languages have become a very active field of research in recent years. Many real-world applications, like processing electronic health records (EHRs), inherently contain a temporal dimension, and require efficient reasoning algorithms. Moreover, since medical data is not recorded on a regular basis, reasoners must deal with sparse data with potentially large temporal gaps. In this paper, we introduce a temporal extension of the tractable language ELH⊥, which features a new class of convex diamond operators that can be used to bridge temporal gaps. We develop a com

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Engel, Bernard, Yael Edan, James Simon, Hanoch Pasternak, and Shimon Edelman. Neural Networks for Quality Sorting of Agricultural Produce. United States Department of Agriculture, 1996. http://dx.doi.org/10.32747/1996.7613033.bard.

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The objectives of this project were to develop procedures and models, based on neural networks, for quality sorting of agricultural produce. Two research teams, one in Purdue University and the other in Israel, coordinated their research efforts on different aspects of each objective utilizing both melons and tomatoes as case studies. At Purdue: An expert system was developed to measure variances in human grading. Data were acquired from eight sensors: vision, two firmness sensors (destructive and nondestructive), chlorophyll from fluorescence, color sensor, electronic sniffer for odor detecti

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Avis, William. Drivers, Barriers and Opportunities of E-waste Management in Africa. Institute of Development Studies (IDS), 2021. http://dx.doi.org/10.19088/k4d.2022.016.

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Population growth, increasing prosperity and changing consumer habits globally are increasing demand for consumer electronics. Further to this, rapid changes in technology, falling prices and consumer appetite for better products have exacerbated e-waste management challenges and seen millions of tons of electronic devices become obsolete. This rapid literature review collates evidence from academic, policy focussed and grey literature on e-waste management in Africa. This report provides an overview of constitutes e-waste, the environmental and health impacts of e-waste, of the barriers to ef

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Modlo, Yevhenii O., Serhiy O. Semerikov, Stanislav L. Bondarevskyi, Stanislav T. Tolmachev, Oksana M. Markova, and Pavlo P. Nechypurenko. Methods of using mobile Internet devices in the formation of the general scientific component of bachelor in electromechanics competency in modeling of technical objects. [б. в.], 2020. http://dx.doi.org/10.31812/123456789/3677.

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An analysis of the experience of professional training bachelors of electromechanics in Ukraine and abroad made it possible to determine that one of the leading trends in its modernization is the synergistic integration of various engineering branches (mechanical, electrical, electronic engineering and automation) in mechatronics for the purpose of design, manufacture, operation and maintenance electromechanical equipment. Teaching mechatronics provides for the meaningful integration of various disciplines of professional and practical training bachelors of electromechanics based on the concep

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Electronic Data Processing (EDP) Section - c.1965. Reserve Bank of Australia, 2022. http://dx.doi.org/10.47688/rba_archives_pn-004508.

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Federal Information Processing Standards Publication: electronic data interchange (EDI). National Institute of Standards and Technology, 1996. http://dx.doi.org/10.6028/nist.fips.161-2.

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Premises - Head Office - Electronic Data Processing (EDP) Section, 1969. Reserve Bank of Australia, 2022. http://dx.doi.org/10.47688/rba_archives_pn-004822.

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