Relevant bibliographies by topics / Automated data processing systems

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Automated data processing systems'

Author: Grafiati
Published: 29 March 2023

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Journal articles on the topic "Automated data processing systems"

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Dzyubetsʹka, M. O., and P. O. Yahanov. "Data processing modules for automated systems building management." Electronics and Communications 16, no. 3 (March 28, 2011): 92–100. http://dx.doi.org/10.20535/2312-1807.2011.16.3.266193.

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New program modules of ACS «The Intelligent Building» which use for data processing the methods of regression procedure, neural networks, systems of mass service, linear programming, fuzzy logic were developed. The control panels were developed for the operator of the ACS «The Intelligent Building» using the technologies of virtual devices of the environment of graphic programming LabVEW. The developed modules are convenient in use and can be easily integrated into already existing ACS
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Sarsembayev, M., M. Turdalyuly, and P. Omarova. "Сloud data-processing system for the automated generation of combustion models." International Journal of Mathematics and Physics 7, no. 1 (2016): 65–68. http://dx.doi.org/10.26577/2218-7987-2016-7-1-65-68.

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Manjunath, Akanksh Aparna, Manjunath Sudhakar Nayak, Santhanam Nishith, Satish Nitin Pandit, Shreyas Sunkad, Pratiba Deenadhayalan, and Shobha Gangadhara. "Automated invoice data extraction using image processing." IAES International Journal of Artificial Intelligence (IJ-AI) 12, no. 2 (June 1, 2023): 514. http://dx.doi.org/10.11591/ijai.v12.i2.pp514-521.

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Manually processing invoices which are in the form of scanned photocopies is a time-consuming process. There is a need to automate the task of extraction of data from the invoices with a similar format. In this paper we investigate and analyse various techniques of image processing and text extraction to improve the results of the optical character recognition (OCR) engine, which is applied to extract the text from the invoice. This paper also proposes the design and implementation of a web enabled invoice processing system (IPS). The IPS consists of an annotation tool and an extraction tool. The annotation tool is used to mark the fields of interest in the invoice which are to be extracted. The extraction tool makes use of opensource computer vision library (OpenCV) algorithms to detect text. The proposed system was tested on more than 25 types of invoices with the average accuracy score lying between 85% and 95%. Finally, to provide ease of use, a web application is developed which also presents the results in a structured format. The entire system is designed so as to provide flexibility and automate the process of extracting details of interest from the invoices.
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I.I. BYSTROV. "Automated Processing of Unstructured Data in Prospective Military Automated Systems: A Conceptual Basis." Military Thought 27, no. 004 (December 31, 2018): 102–13. http://dx.doi.org/10.21557/mth.52771238.

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Shakhanova, M. V. "Optimization of protection in automated data transmission and processing systems." Automatic Control and Computer Sciences 47, no. 3 (May 2013): 139–46. http://dx.doi.org/10.3103/s0146411613030061.

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Minaev, V. A., A. V. Mazin, K. B. Zdiruk, and E. V. Poddubnaya. "MODELING OF INTERNAL CONFLICTS OF AUTOMATED DATA COLLECTION AND DATA PROCESSING SYSTEMS." Radio industry, no. 1 (March 10, 2018): 118–23. http://dx.doi.org/10.21778/2413-9599-2018-1-118-123.

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Simavoryan, Simon Zh, Arsen R. Simonyan, Elena I. Ulitina, and Rafik A. Simonyan. "Projecting Intelligent Systems to Protect Information in Automated Data Processing Systems (Functional Approach)." Modeling of Artificial Intelligence 7, no. 3 (September 5, 2015): 212–20. http://dx.doi.org/10.13187/mai.2015.7.212.

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Giacalone, V. M., G. Garofalo, G. D'Anna, F. Badalamenti, and C. Pipitone. "Fi.S.A.R.: A Data-managing and Processing Software for Automated Telemetry Systems." Marine Technology Society Journal 40, no. 1 (March 1, 2006): 47–50. http://dx.doi.org/10.4031/002533206787353592.

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Ultrasonic telemetry systems are increasingly used in studies on the behavioral ecology of marine and freshwater animals. Systems based on automated omnidirectional receivers in particular offer a powerful and relatively cheap tool to provide presence/absence data of tagged animals, but they do not provide the geographic position of the transmitters. In this paper a new software called FiSAR (Fish-finder Software for Automated Receivers), developed for application with Vemco VR1/VR2 receivers, is presented (available at www.marecofree.org/download.asp). FiSAR is able to manage large datasets as well as to calculate the activity center of each transmitter from simple presence/absence data. This is achieved through (1) the collation of the data collected by each receiver in a unique MS Access cross-table, and (2) the use of the Simpfendorfer et al. (2002) algorithm. The resulting cross-table can be easily exported to most statistical packages for further analysis.
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Liu, Weiping, Jennifer Fung, W. J. de Ruijter, Hans Chen, John W. Sedat, and David A. Agard. "Automated electron tomography: from data collection to image processing." Proceedings, annual meeting, Electron Microscopy Society of America 53 (August 13, 1995): 26–27. http://dx.doi.org/10.1017/s0424820100136507.

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Electron tomography is a technique where many projections of an object are collected from the transmission electron microscope (TEM), and are then used to reconstruct the object in its entirety, allowing internal structure to be viewed. As vital as is the 3-D structural information and with no other 3-D imaging technique to compete in its resolution range, electron tomography of amorphous structures has been exercised only sporadically over the last ten years. Its general lack of popularity can be attributed to the tediousness of the entire process starting from the data collection, image processing for reconstruction, and extending to the 3-D image analysis. We have been investing effort to automate all aspects of electron tomography. Our systems of data collection and tomographic image processing will be briefly described.To date, we have developed a second generation automated data collection system based on an SGI workstation (Fig. 1) (The previous version used a micro VAX). The computer takes full control of the microscope operations with its graphical menu driven environment. This is made possible by the direct digital recording of images using the CCD camera.
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Morozov, A. O. "Decision-making. Terms and definitions." Mathematical machines and systems 2 (2022): 64–67. http://dx.doi.org/10.34121/1028-9763-2022-2-64-67.

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Decision-making is directly connected with purposeful human activity. All people are engaged in this process on a daily basis both personally and using automatic or automated systems. The paper considers the issues of decision-making technology in automatic and automated systems, identifies the main stages of decision making: data – information – knowledge – decision making – decision implementation. There are defined terms «data», «information», «knowledge», «decision», «implementation» which are used at the stages of decision making and decision implementation in automated and automatic control systems. In the paper, there are provided definitions of automatic and automated systems, robots as a separate class of automatic systems, as well as the next stage of development of robots – self-organizing automatic machines which are independently configured to perform various target functions based on the rules of acquiring knowledge. Some features of large systems such as industry or state are noted. For such systems, it is impossible to get all the necessary data about the processes that take place in them. Therefore, the information obtained as a result of their processing will not provide enough knowledge for decision-making on system management. Missing knowledge can be obtained thanks to the unformalized knowledge of people. The definition of unformalized knowledge is provided as well. The paper forms the principles of building automated and automatic systems using artificial intelligence and describes the sequence of control processes in any automatic or automated control system
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Dissertations / Theses on the topic "Automated data processing systems"

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李少彬 and Siu-pan Li. "The validity of the use of automated evaluation systems as architectural design aids." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2000. http://hub.hku.hk/bib/B4257562X.

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Eskenazi, Cem. "An automated visual inspection system for bare hybrid boards /." Thesis, McGill University, 1985. http://digitool.Library.McGill.CA:80/R/?func=dbin-jump-full&object_id=63302.

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Slabber, Frans Bresler. "Semi-automated extraction of structural orientation data from aerospace imagery combined with digital elevation models." Thesis, Rhodes University, 1996. http://hdl.handle.net/10962/d1005614.

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A computer-based method for determining the orientation of planar geological structures from remotely sensed images, utilizing digital geological images and digital elevation models (DEMs), is developed and assessed. The method relies on operator skill and experience to recognize geological structure traces on images, and then employs software routines (GEOSTRUC©) to calculate the orientation of selected structures. The operator selects three points on the trace of a planar geological feature as seen on a digital geological image that is co registered with a DEM of the same area. The orientation of the plane that contains the three points is determined using vector algebra equations. The program generates an ASCII data file which contains the orientation data as well as the geographical location of the measurements. This ASCII file can then be utilized in further analysis of the orientation data. The software development kit (SDK) for TNTmips v5.00, from MicroImages Inc. and operating in the X Windows environment, was employed to construct the software. The Watcom C\C++ Development Environment was used to generate the executable program, GEOSTRUC© . GEOSTRUC© was tested in two case studies. The case studies utilized digital data derived from the use of different techniques and from different sources which varied in scale and resolution. This was done to illustrate the versatility of the program and its application to a wide range of data types. On the whole, the results obtained using the GEOSTRUC© analyses compare favourably to field data from each test area. Use of the method to determine the orientation of axial planes in the case study revealed the usefulness of the method as a powerful analytic tool for use on a macroscopic scale. The method should not he applied in area with low variation in relief as the method proved to be less accurate in these areas. Advancements in imaging technology will serve to create images with better resolution, which will, in turn, improve the overall accuracy of the method.
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Heywood, James K. "AUTOMATED TESTING OF THE ADVANCED DATA ACQUISITION AND PROCESSING SYSTEM." International Foundation for Telemetering, 2001. http://hdl.handle.net/10150/606456.

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International Telemetering Conference Proceedings / October 22-25, 2001 / Riviera Hotel and Convention Center, Las Vegas, Nevada
Software and techniques are described for testing the Advanced Data Acquisition and Processing System (ADAPS), the primary flight test telemetry system used at Edwards AFB, California. The software described acts as an additional simulation capability and moves the simulation definition process into a realm where data is formed by means of a high-order language. The potential for creation of more sophisticated simulated test data is thus enabled. Extension of the techniques described in this paper to applications other than testing is discussed.
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Bodner, Douglas Anthony. "Real-time control approaches to deadlock management in automated manufacturing systems." Diss., Georgia Institute of Technology, 1996. http://hdl.handle.net/1853/25607.

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Teske, Alexander. "Automated Risk Management Framework with Application to Big Maritime Data." Thesis, Université d'Ottawa / University of Ottawa, 2018. http://hdl.handle.net/10393/38567.

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Risk management is an essential tool for ensuring the safety and timeliness of maritime operations and transportation. Some of the many risk factors that can compromise the smooth operation of maritime activities include harsh weather and pirate activity. However, identifying and quantifying the extent of these risk factors for a particular vessel is not a trivial process. One challenge is that processing the vast amounts of automatic identification system (AIS) messages generated by the ships requires significant computational resources. Another is that the risk management process partially relies on human expertise, which can be timeconsuming and error-prone. In this thesis, an existing Risk Management Framework (RMF) is augmented to address these issues. A parallel/distributed version of the RMF is developed to e ciently process large volumes of AIS data and assess the risk levels of the corresponding vessels in near-real-time. A genetic fuzzy system is added to the RMF's Risk Assessment module in order to automatically learn the fuzzy rule base governing the risk assessment process, thereby reducing the reliance on human domain experts. A new weather risk feature is proposed, and an existing regional hostility feature is extended to automatically learn about pirate activity by ingesting unstructured news articles and incident reports. Finally, a geovisualization tool is developed to display the position and risk levels of ships at sea. Together, these contributions pave the way towards truly automatic risk management, a crucial component of modern maritime solutions. The outcomes of this thesis will contribute to enhance Larus Technologies' Total::Insight, a risk-aware decision support system successfully deployed in maritime scenarios.
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Naik, Pranab Sabitru. "Design and implementation of a fully automated real-time s-parameter imaging system." Thesis, Click to view the E-thesis via HKUTO, 2004. http://sunzi.lib.hku.hk/hkuto/record/B30708758.

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Xozwa, Thandolwethu. "Automated statistical audit system for a government regulatory authority." Thesis, Nelson Mandela Metropolitan University, 2015. http://hdl.handle.net/10948/6061.

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Governments all over the world are faced with numerous challenges while running their countries on a daily basis. The predominant challenges which arise are those which involve statistical methodologies. Official statistics to South Africa’s infrastructure are very important and because of this it is important that an effort is made to reduce the challenges that occur during the development of official statistics. For official statistics to be developed successfully quality standards need to be built into an organisational framework and form a system of architecture (Statistics New Zealand 2009:1). Therefore, this study seeks to develop a statistical methodology that is appropriate and scientifically correct using an automated statistical system for audits in government regulatory authorities. The study makes use of Mathematica to provide guidelines on how to develop and use an automated statistical audit system. A comprehensive literature study was conducted using existing secondary sources. A quantitative research paradigm was adopted for this study, to empirically assess the demographic characteristics of tenants of Social Housing Estates and their perceptions towards the rental units they inhabit. More specifically a descriptive study was undertaken. Furthermore, a sample size was selected by means of convenience sampling for a case study on SHRA to assess the respondent’s biographical information. From this sample, a pilot study was conducted investigating the general perceptions of the respondents regarding the physical conditions and quality of their units. The technical development of an automated statistical audit system was discussed. This process involved the development and use of a questionnaire design tool, statistical analysis and reporting and how Mathematica software served as a platform for developing the system. The findings of this study provide insights on how government regulatory authorities can best utilise automated statistical audits for regulation purposes and achieved this by developing an automated statistical audit system for government regulatory authorities. It is hoped that the findings of this study will provide government regulatory authorities with practical suggestions or solutions regarding the generating of official statistics for regulatory purposes, and that the suggestions for future research will inspire future researchers to further investigate automated statistical audit systems, statistical analysis, automated questionnaire development, and government regulatory authorities individually.
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Rossman, Mark A. "Automated Detection of Hematological Abnormalities through Classification of Flow Cytometric Data Patterns." FIU Digital Commons, 2011. http://digitalcommons.fiu.edu/etd/344.

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Flow Cytometry analyzers have become trusted companions due to their ability to perform fast and accurate analyses of human blood. The aim of these analyses is to determine the possible existence of abnormalities in the blood that have been correlated with serious disease states, such as infectious mononucleosis, leukemia, and various cancers. Though these analyzers provide important feedback, it is always desired to improve the accuracy of the results. This is evidenced by the occurrences of misclassifications reported by some users of these devices. It is advantageous to provide a pattern interpretation framework that is able to provide better classification ability than is currently available. Toward this end, the purpose of this dissertation was to establish a feature extraction and pattern classification framework capable of providing improved accuracy for detecting specific hematological abnormalities in flow cytometric blood data. This involved extracting a unique and powerful set of shift-invariant statistical features from the multi-dimensional flow cytometry data and then using these features as inputs to a pattern classification engine composed of an artificial neural network (ANN). The contribution of this method consisted of developing a descriptor matrix that can be used to reliably assess if a donor’s blood pattern exhibits a clinically abnormal level of variant lymphocytes, which are blood cells that are potentially indicative of disorders such as leukemia and infectious mononucleosis. This study showed that the set of shift-and-rotation-invariant statistical features extracted from the eigensystem of the flow cytometric data pattern performs better than other commonly-used features in this type of disease detection, exhibiting an accuracy of 80.7%, a sensitivity of 72.3%, and a specificity of 89.2%. This performance represents a major improvement for this type of hematological classifier, which has historically been plagued by poor performance, with accuracies as low as 60% in some cases.
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Kuehl, Phillip Anthony. "Real-time processing of electromyograms in an automated hand-forearm data collection and analysis system." Thesis, Kansas State University, 2015. http://hdl.handle.net/2097/19087.

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Master of Science
Department of Electrical and Computer Engineering
Steven Warren
Handgrip contractions are a useful exercise for assessing muscle fatigue in the forearm musculature. Most conventional hand-forearm ergometer systems require the researcher to manually guide subject activity, collect subject data, and assess subject fatigue after it has occurred. Since post-processing tools are not standardized for this type of experiment, researchers resort to building their own tools. This process can make comparing results between research groups difficult. This thesis presents updates to a hand-forearm ergometer system that automate the control, data-acquisition, and data-analysis mechanisms. The automated system utilizes a LabVIEW virtual instrument as the system centerpiece; it provides the subject/researcher interfaces and coordinates data acquisition from both traditional and new sensors. The system also processes the hand-forearm data within the LabVIEW environment as the data are collected. This allows the researcher to better understand the onset of subject fatigue while an experiment is in progress. System upgrades relative to prior work include the addition of new parameters to the researcher display, a change in the subject display from a binary up-down display to a sliding bar for better control over subject grip state, and a software update from a simple data acquisition and display system to a real-time processing system. The toolset has proven to be a viable support resource for experimental studies performed in the Kansas State University Human Exercise Physiology Laboratory that target muscle fatigue in human forearms. Initial data acquired during these tests indicate the viability of the system to acquire consistent and physiologically meaningful data while providing a useable toolset for follow-on data analyses.
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Books on the topic "Automated data processing systems"

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Thomas, Koch. Automated management of distributed systems. Aachen: Shaker, 1997.

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Potter, Douglas A. Automated accounting systems and procedures handbook. New York: Wiley, 1991.

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Potter, Douglas A. Automated accounting systems and procedures handbook. New York: Wiley, 1993.

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Komarinski, Peter. Automated Fingerprint Identification Systems (AFIS). Amsterdam: Academic Press, 2004.

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Komarinski, Peter. Automated fingerprint identification systems (AFIS). Amsterdam: Elsevier Academic, 2005.

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The manager's guide to automated service systems. New York: Solomon Press, 1987.

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Martin, Peter T. Automated data collection, analysis, and archival. [Fargo, N.D.]: Mountain-Plains Consortium, 2003.

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Henry, Hubert A. Automated field survey data collection system. Washington, D.C: Transportation Research Board, National Research Council, 1987.

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Inc, Real Estate Solutions, and University of Maryland, College Park. Survey Research Center., eds. Satisfaction with automated mortgage servicing systems: A study of five systems' users. Washington, DC (2609 Klingle Rd., N.W., Washington 20008): Real Estate Solutions, 1987.

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Wilson, Thomas F. Automated fingerprint identification systems: Technology and policy issues. Washington, D.C: U.S. Dept. of Justice, Bureau of Justice Statistics, 1987.

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Book chapters on the topic "Automated data processing systems"

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Li, Na, and Qiang Guan. "Deadline-Aware Event Scheduling for Complex Event Processing Systems." In Intelligent Data Engineering and Automated Learning – IDEAL 2013, 101–9. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-41278-3_13.

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Nguyen G., Huy, Thanh Nguyen, Hieu Le Trung, and Quang Tran Minh. "Speech-Based Traffic Reporting: An Automated Data Collecting Approach for Intelligent Transportation Systems." In Artificial Intelligence in Data and Big Data Processing, 671–83. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-97610-1_53.

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Griguta, Vlad-Marius, Luciano Gerber, Helen Slater-Petty, Keeley Crocket, and John Fry. "Automated Data Processing of Bank Statements for Cash Balance Forecasting." In Lecture Notes in Networks and Systems, 49–64. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-80126-7_5.

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Izworski, Andrzej, and Ryszard Tadeusiewicz. "System for Intelligent Processing and Recognition of Auditory Brainstem Response (ABR ) Signals." In Intelligent Data Engineering and Automated Learning, 482–89. Berlin, Heidelberg: Springer Berlin Heidelberg, 2003. http://dx.doi.org/10.1007/978-3-540-45080-1_67.

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Guo, Wanwu, and Anthony Watson. "A Neural System Prototype for Data Processing Using Modified Conjugate Directional Filtering (MCDF)." In Intelligent Data Engineering and Automated Learning, 1047–51. Berlin, Heidelberg: Springer Berlin Heidelberg, 2003. http://dx.doi.org/10.1007/978-3-540-45080-1_148.

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Gruber, Markus, Phillip Wieser, Stefan Nachtnebel, Christian Schanes, and Thomas Grechenig. "Extraction of ABNF Rules from RFCs to Enable Automated Test Data Generation." In Security and Privacy Protection in Information Processing Systems, 111–24. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-39218-4_9.

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Heap, Marshall J., and Alastair Culham. "Automated Pre-processing Strategies for Species Occurrence Data Used in Biodiversity Modelling." In Knowledge-Based and Intelligent Information and Engineering Systems, 517–26. Berlin, Heidelberg: Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-15384-6_55.

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Gorawski, Marcin, Damian Lis, and Anna Gorawska. "Zero–Latency Data Warehouse System Based on Parallel Processing and Cache Module." In Intelligent Data Engineering and Automated Learning – IDEAL 2014, 465–74. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-10840-7_56.

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Sergienko, V. I., A. G. Radchuk, B. A. Pavlov, and V. S. Kudeeva. "A Fully-Automated System of Astrometric Data Collection and Processing." In Astrometric Techniques, 795–98. Dordrecht: Springer Netherlands, 1986. http://dx.doi.org/10.1007/978-94-009-4676-7_100.

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Kang, Shin-Jae, and In-Su Kang. "Automatic Population of Korean Information in Linking Open Data." In Natural Language Processing and Information Systems, 355–59. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-31178-9_47.

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Conference papers on the topic "Automated data processing systems"

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Bibbo, J. A., D. M. Etter, and D. R. Breding. "Automated display and processing for seismic data." In Twenty-Third Asilomar Conference on Signals, Systems and Computers, 1989. IEEE, 1989. http://dx.doi.org/10.1109/acssc.1989.1201000.

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Sergeev, V. L., V. V. Miroshnikov, K. A. Dushkin, and L. A. Ananeva. "Automated control system for seismic data processing." In Geophysics of the 21st Century - The Leap into the Future. European Association of Geoscientists & Engineers, 2003. http://dx.doi.org/10.3997/2214-4609-pdb.38.f238.

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Di Nardo, Daniel, Fabrizio Pastore, Andrea Arcuri, and Lionel Briand. "Evolutionary Robustness Testing of Data Processing Systems Using Models and Data Mutation (T)." In 2015 30th IEEE/ACM International Conference on Automated Software Engineering (ASE). IEEE, 2015. http://dx.doi.org/10.1109/ase.2015.13.

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Dorofeev, Nikolay V., Oleg R. Kuzichkin, Roman V. Romanov, and Alexander V. Koskin. "Spatio-temporal data processing of automated geodynamic monitoring system." In 2017 9th IEEE International Conference on Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications (IDAACS). IEEE, 2017. http://dx.doi.org/10.1109/idaacs.2017.8095082.

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Galkin, Aleksandr V., Daria V. Dyatchina, and Anatoly K. Pogodaev. "Raising the effectiveness of data processing in automated information control systems." In 2015 9th International Conference on Application of Information and Communication Technologies (AICT). IEEE, 2015. http://dx.doi.org/10.1109/icaict.2015.7338590.

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Yang Yang, Marc Geilen, Twan Basten, Sander Stuijk, and Henk Corporaal. "Automated bottleneck-driven design-space exploration of media processing systems." In 2010 Design, Automation & Test in Europe Conference & Exhibition (DATE 2010). IEEE, 2010. http://dx.doi.org/10.1109/date.2010.5456963.

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Jordan, Colin Lyle, Roozbeh Koochak, Martin Roberts, Ajay Nalonnil, and Mike Honeychurch. "A Holistic Approach to Big Data and Data Analytics for Automated Reservoir Surveillance and Analysis." In SPE Asia Pacific Oil & Gas Conference and Exhibition. SPE, 2022. http://dx.doi.org/10.2118/210757-ms.

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Abstract Analyses have been widely applied in production forecasting of oil/gas production in both conventional and unconventional reservoirs. In order to forecast production, traditional regression and machine learning approaches have been applied to various reservoir analysis methods. Nevertheless, these methods are still suboptimal in detecting similar production trends in different wells due to data artifacts (noise, data scatter, outliers) that obscure the reservoir signal and leading to large forecast error, or fail due to lack of data access (inadequate SCADA systems, missing or abhorrent data, and much more). Furthermore, without proper and complete integration into a data system, discipline silos still exist reducing the efficiency of automation. This paper describes a recent field trial conducted in Australia's Cooper Basin with the objective to develop a completely automated end-to-end system in which data are captured directly from the field/SCADA system, automatically imported/processed, and finally analyzed entirely in automated system using modern computing languages, modern devices incl. IoT, as well as advanced data science and machine learning methods. This was a multidisciplinary undertaking requiring expertise from petroleum, computing/programming, and data science disciplines. The back-end layer was developed using Wolfram's computation engine, run from an independent server in Australia, while the front-end graphical user interface (GUI) was developed using a combination of Wolfram Language, Java, and JavaScript – all later switched to a Python-React combination after extensive testing. The system was designed to simultaneously capture data real-time from SCADA Historians, IIoT devices, and remote databases for automatic processing and analysis through API's. Automatic processing included "Smart Filtering" using apparent Productivity Index and similar methods. Automated analysis, including scenario analysis, was performed using customized M/L and statistical methods which are then applied to Decline curve analysis (DCA), flowing material balance analysis (FMB), and Water-Oil-Ratio (WOR). The entire procedure is automated, without need for any human intervention.
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Dube, Shishir, Jason J. Corso, Timothy F. Cloughesy, Suzie El-Saden, Alan L. Yuille, Usha Sinha, Onur Seref, O. Erhun Kundakcioglu, and Panos Pardalos. "Automated MR image processing and analysis of malignant brain tumors: enabling technology for data mining." In DATA MINING, SYSTEMS ANALYSIS AND OPTIMIZATION IN BIOMEDICINE. AIP, 2007. http://dx.doi.org/10.1063/1.2817354.

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Tameem, Hussain Z., Usha S. Sinha, Onur Seref, O. Erhun Kundakcioglu, and Panos Pardalos. "Automated image processing and analysis of cartilage MRI: enabling technology for data mining applied to osteoarthritis." In DATA MINING, SYSTEMS ANALYSIS AND OPTIMIZATION IN BIOMEDICINE. AIP, 2007. http://dx.doi.org/10.1063/1.2817349.

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Tobin, Taylor, Jeffrey Chilcote, Timothy Brandt, Thayne M. Currie, Tyler Groff, Julien Lozi, and Olivier Guyon. "The automated data extraction, processing, and tracking system for CHARIS." In Software and Cyberinfrastructure for Astronomy VI, edited by Juan C. Guzman and Jorge Ibsen. SPIE, 2020. http://dx.doi.org/10.1117/12.2576255.

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Reports on the topic "Automated data processing systems"

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Cook, Samantha, Marissa Torres, Nathan Lamie, Lee Perren, Scott Slone, and Bonnie Jones. Automated ground-penetrating-radar post-processing software in R programming. Engineer Research and Development Center (U.S.), September 2022. http://dx.doi.org/10.21079/11681/45621.

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Ground-penetrating radar (GPR) is a nondestructive geophysical technique used to create images of the subsurface. A major limitation of GPR is that a subject matter expert (SME) needs to post-process and interpret the data, limiting the technique’s use. Post-processing is time-intensive and, for detailed processing, requires proprietary software. The goal of this study is to develop automated GPR post-processing software, compatible with Geophysical Survey Systems, Inc. (GSSI) data, in open-source R programming. This would eliminate the need for an SME to process GPR data, remove proprietary software dependencies, and render GPR more accessible. This study collected GPR profiles by using a GSSI SIR4000 control unit, a 100 MHz antenna, and a Trimble GPS. A standardized method for post-processing data was then established, which includes static data removal, time-zero correction, distance normalization, data filtering, and stacking. These steps were scripted and automated in R programming, excluding data filtering, which was used from an existing package, RGPR. The study compared profiles processed using GSSI software to profiles processed using the R script developed here to ensure comparable functionality and output. While an SME is currently still necessary for interpretations, this script eliminates the need for one to post-process GSSI GPR data.
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Riemer, C. Case study of verification, validation, and testing in the Automated Data Processing (ADP) system development life cycle. Office of Scientific and Technical Information (OSTI), May 1990. http://dx.doi.org/10.2172/6445358.

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Andrews, A., J. W. Formento, L. G. Hill, and C. A. Riemer. Study of verification, validation, and testing in the automated data processing system at the Department of Veterans Affairs. Office of Scientific and Technical Information (OSTI), January 1990. http://dx.doi.org/10.2172/5005159.

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Bates, C. Richards, Melanie Chocholek, Clive Fox, John Howe, and Neil Jones. Scottish Inshore Fisheries Integrated Data System (SIFIDS): Work package (3) final report development of a novel, automated mechanism for the collection of scallop stock data. Edited by Mark James and Hannah Ladd-Jones. Marine Alliance for Science and Technology for Scotland (MASTS), 2019. http://dx.doi.org/10.15664/10023.23449.

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[Extract from Executive Summary] This project, aimed at the development of a novel, automated mechanism for the collection of scallop stock data was a sub-part of the Scottish Inshore Fisheries Integrated Data Systems (SIFIDS) project. The project reviewed the state-of-the-art remote sensing (geophysical and camera-based) technologies available from industry and compared these to inexpensive, off-the -shelf equipment. Sea trials were conducted on scallop dredge sites and also hand-dived scallop sites. Data was analysed manually, and tests conducted with automated processing methods. It was concluded that geophysical acoustic technologies cannot presently detect individual scallop but the remote sensing technologies can be used for broad scale habitat mapping of scallop harvest areas. Further, the techniques allow for monitoring these areas in terms of scallop dredging impact. Camera (video and still) imagery is effective for scallop count and provide data that compares favourably with diver-based ground truth information for recording scallop density. Deployment of cameras is possible through inexpensive drop-down camera frames which it is recommended be deployed on a wide area basis for further trials. In addition, implementation of a ‘citizen science’ approach to wide area recording is suggested to increase the stock assessment across the widest possible variety of seafloor types around Scotland. Armed with such data a full, statistical analysis could be completed and data used with automated processing routines for future long-term monitoring of stock.
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Berney, Ernest, Andrew Ward, and Naveen Ganesh. First generation automated assessment of airfield damage using LiDAR point clouds. Engineer Research and Development Center (U.S.), March 2021. http://dx.doi.org/10.21079/11681/40042.

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This research developed an automated software technique for identifying type, size, and location of man-made airfield damage including craters, spalls, and camouflets from a digitized three-dimensional point cloud of the airfield surface. Point clouds were initially generated from Light Detection and Ranging (LiDAR) sensors mounted on elevated lifts to simulate aerial data collection and, later, an actual unmanned aerial system. LiDAR data provided a high-resolution, globally positioned, and dimensionally scaled point cloud exported in a LAS file format that was automatically retrieved and processed using volumetric detection algorithms developed in the MATLAB software environment. Developed MATLAB algorithms used a three-stage filling technique to identify the boundaries of craters first, then spalls, then camouflets, and scaled their sizes based on the greatest pointwise extents. All pavement damages and their locations were saved as shapefiles and uploaded into the GeoExPT processing environment for visualization and quality control. This technique requires no user input between data collection and GeoExPT visualization, allowing for a completely automated software analysis with all filters and data processing hidden from the user.
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Dudley, J. P., and S. V. Samsonov. Système de traitement automatisé du gouvernement canadien pour la détection des variations et l'analyse des déformations du sol à partir des données de radar à synthèse d'ouverture de RADARSAT-2 et de la mission de la Constellation RADARSAT : description et guide de l'utilisateur. Natural Resources Canada/CMSS/Information Management, 2021. http://dx.doi.org/10.4095/329134.

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Remote sensing using Synthetic Aperture Radar (SAR) offers powerful methods for monitoring ground deformation from both natural and anthropogenic sources. Advanced analysis techniques such as Differential Interferometric Synthetic Aperture Radar (DInSAR), change detection, and Speckle Offset Tracking (SPO) provide sensitive measures of ground movement. With both the RADARSAT-2 and RADARSAT Constellation Mission (RCM) SAR satellites, Canada has access to a significant catalogue of SAR data. To make use of this data, the Canada Centre for Mapping and Earth Observation (CCMEO) has developed an automated system for generating standard and advanced deformation products from SAR data using both DInSAR and SPO methods. This document provides a user guide for this automated processing system.
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Yan, Yujie, and Jerome F. Hajjar. Automated Damage Assessment and Structural Modeling of Bridges with Visual Sensing Technology. Northeastern University, May 2021. http://dx.doi.org/10.17760/d20410114.

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Recent advances in visual sensing technology have gained much attention in the field of bridge inspection and management. Coupled with advanced robotic systems, state-of-the-art visual sensors can be used to obtain accurate documentation of bridges without the need for any special equipment or traffic closure. The captured visual sensor data can be post-processed to gather meaningful information for the bridge structures and hence to support bridge inspection and management. However, state-of-the-practice data postprocessing approaches require substantial manual operations, which can be time-consuming and expensive. The main objective of this study is to develop methods and algorithms to automate the post-processing of the visual sensor data towards the extraction of three main categories of information: 1) object information such as object identity, shapes, and spatial relationships - a novel heuristic-based method is proposed to automate the detection and recognition of main structural elements of steel girder bridges in both terrestrial and unmanned aerial vehicle (UAV)-based laser scanning data. Domain knowledge on the geometric and topological constraints of the structural elements is modeled and utilized as heuristics to guide the search as well as to reject erroneous detection results. 2) structural damage information, such as damage locations and quantities - to support the assessment of damage associated with small deformations, an advanced crack assessment method is proposed to enable automated detection and quantification of concrete cracks in critical structural elements based on UAV-based visual sensor data. In terms of damage associated with large deformations, based on the surface normal-based method proposed in Guldur et al. (2014), a new algorithm is developed to enhance the robustness of damage assessment for structural elements with curved surfaces. 3) three-dimensional volumetric models - the object information extracted from the laser scanning data is exploited to create a complete geometric representation for each structural element. In addition, mesh generation algorithms are developed to automatically convert the geometric representations into conformal all-hexahedron finite element meshes, which can be finally assembled to create a finite element model of the entire bridge. To validate the effectiveness of the developed methods and algorithms, several field data collections have been conducted to collect both the visual sensor data and the physical measurements from experimental specimens and in-service bridges. The data were collected using both terrestrial laser scanners combined with images, and laser scanners and cameras mounted to unmanned aerial vehicles.
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Zelenskyi, Arkadii A. Relevance of research of programs for semantic analysis of texts and review of methods of their realization. [б. в.], December 2018. http://dx.doi.org/10.31812/123456789/2884.

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One of the main tasks of applied linguistics is the solution of the problem of high-quality automated processing of natural language. The most popular methods for processing natural-language text responses for the purpose of extraction and representation of semantics should be systems that are based on the efficient combination of linguistic analysis technologies and analysis methods. Among the existing methods for analyzing text data, a valid method is used by the method using a vector model. Another effective and relevant means of extracting semantics from the text and its representation is the method of latent semantic analysis (LSA). The LSA method was tested and confirmed its effectiveness in such areas of processing the native language as modeling the conceptual knowledge of the person; information search, the implementation of which LSA shows much better results than conventional vector methods.
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Dudley, J. P., and S V Samsonov. The Government of Canada automated processing system for change detection and ground deformation analysis from RADARSAT-2 and RADARSAT Constellation Mission Synthetic Aperture Radar data: description and user guide. Natural Resources Canada/ESS/Scientific and Technical Publishing Services, 2020. http://dx.doi.org/10.4095/327790.

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Yau, Stephen S., Changju Gao, Debin Jia, Jun Wang, and Jiazheng Wu. Automated Object-Oriented Software Development for Parallel Processing Systems. Fort Belvoir, VA: Defense Technical Information Center, February 1998. http://dx.doi.org/10.21236/ada341223.

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