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Journal articles on the topic 'Automated data processing systems'

Author: Grafiati

Published: 29 March 2023

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1

Dzyubetsʹka, M. O., and P. O. Yahanov. "Data processing modules for automated systems building management." Electronics and Communications 16, no. 3 (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 та P. Omarova. "Сloud data-processing system for the automated generation of combustion models". International Journal of Mathematics and Physics 7, № 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, et al. "Automated invoice data extraction using image processing." IAES International Journal of Artificial Intelligence (IJ-AI) 12, no. 2 (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.

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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 (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 (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 (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 (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 a

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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 proc

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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 cont

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HANSON, MARK L., PAUL G. GONSALVES, JESSICA TSE, and RACHEL GREY. "AUTOMATED DATA FUSION AND SITUATION ASSESSMENT IN SPACE SYSTEMS." International Journal on Artificial Intelligence Tools 13, no. 01 (2004): 255–71. http://dx.doi.org/10.1142/s021821300400151x.

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Space systems are an important part of everyday life. They provide global positioning data, communications, and Earth science data such as weather information. All space systems require satellite operators to ensure high performance and continuous operations in the presence of off-nominal conditions due to space weather and onboard anomalies. Similar to other high-stress, time critical operations (e.g., piloting an aircraft or operating a nuclear power plant), situation awareness is a crucial factor in operator performance during these conditions. Because situation awareness is largely acquire

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Simavoryan, Simon Zhorzhevich, Arsen Rafikovich Simonyan, Georgii Aleksandrovich Popov, and Elena Ivanovna Ulitina. "Functionality of the system of information security in automated data processing systems in the conditions of external intrusions by analogy with the human immune system." Программные системы и вычислительные методы, no. 3 (March 2021): 11–24. http://dx.doi.org/10.7256/2454-0714.2021.3.36226.

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This article is dedicated to construction of the system of information security in automated data processing systems that function by analogy with the human immune system. The subject of this research is the development of the procedure for countering external intrusions of viruses, spam, and other destructive software programs in automated data processing systems. The object of this research is the systems of ensuring information security in automated data processing systems and human immune system. Methodological research on elaboration of the procedure for identification of intrusion is con

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Takahashi, K., R. Ooka, and S. Ikeda. "Anomaly detection and missing data imputation in building energy data for automated data pre-processing." Journal of Physics: Conference Series 2069, no. 1 (2021): 012144. http://dx.doi.org/10.1088/1742-6596/2069/1/012144.

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Abstract A new trend in building automation is the implementation of smart energy management systems to measure and control building systems without a need for decision-making by human operators. Artificial intelligence can optimize these systems by predicting future demand to make informed decisions about how to efficiently operate individual equipment. These machine learning algorithms use historical data to learn demand trends and require high quality datasets in order to make accurate predictions. But because of issues with data transmission or sensor errors, real world datasets often cont

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Suwardhi, D., S. W. Trisyanti, L. Kamal, H. A. Permana, A. Murtiyoso, and K. N. Fauzan. "POLYFIT ASSISTED MONOSCOPIC MULTI-IMAGE MEASUREMENT SYSTEMS." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLII-2/W17 (November 29, 2019): 347–54. http://dx.doi.org/10.5194/isprs-archives-xlii-2-w17-347-2019.

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Abstract. Nowadays, in light of the latest development in three-dimensional (3D) modeling technology, an essential role is given to the research and development of fully-automated or semi-automated processes in order to increase workflow effectiveness. A key challenge is thus to automate the process leading to the geometric model which supports the Building Information Modeling (BIM) or 3D-Geographical Information Systems (3D-GIS). This 3D model usually originates from image-based or range-based point clouds. This research is the beginning of the development of a 3D modeling approach that is s

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Smith, Jaclyn, Michael Benedikt, Milos Nikolic, and Amir Shaikhha. "Scalable querying of nested data." Proceedings of the VLDB Endowment 14, no. 3 (2020): 445–57. http://dx.doi.org/10.14778/3430915.3430933.

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While large-scale distributed data processing platforms have become an attractive target for query processing, these systems are problematic for applications that deal with nested collections. Programmers are forced either to perform non-trivial translations of collection programs or to employ automated flattening procedures, both of which lead to performance problems. These challenges only worsen for nested collections with skewed cardinalities, where both handcrafted rewriting and automated flattening are unable to enforce load balancing across partitions. In this work, we propose a framewor

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Chakaberia, Irakli, Jerome Lauret, Michael Poat, and Jefferson Porter. "Data transfer for STAR grid jobs." Journal of Physics: Conference Series 2438, no. 1 (2023): 012022. http://dx.doi.org/10.1088/1742-6596/2438/1/012022.

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Abstract The Solenoidal Tracker at RHIC (STAR) is a multipurpose experiment at the Relativistic Heavy Ion Collider (RHIC) with the primary goal to study the formation and properties of the quark-gluon plasma. STAR is an international collaboration of member institutions and laboratories from around the world. Yearly data-taking period produces PBytes of raw data collected by the experiment. STAR primarily uses its dedicated facility at BNL to process this data, but has routinely leveraged distributed systems, both high throughput (HTC) and high performance (HPC) computing clusters, to signific

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Ignaszak, Z., R. Sika, M. Perzyk, A. Kochański, and J. Kozłowski. "Effectiveness of SCADA Systems in Control of Green Sands Properties." Archives of Foundry Engineering 16, no. 1 (2016): 5–12. http://dx.doi.org/10.1515/afe-2015-0094.

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Abstract The paper undertakes an important topic of evaluation of effectiveness of SCADA (Supervisory Control and Data Acquisition) systems, used for monitoring and control of selected processing parameters of classic green sands used in foundry. Main focus was put on process studies of properties of so-called 1st generation molding sands in the respect of their preparation process. Possible methods of control of this processing are presented, with consideration of application of fresh raw materials, return sand (regenerate) and water. The studies conducted in one of European foundries were ai

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Yalova, K., K. Yashyna, and O. Tarasiyk. "AUTOMATED INFORMA¬TION SYSTEM FOR GPS MONITORING DATA PROCESSING." Collection of scholarly papers of Dniprovsk State Technical University (Technical Sciences) 2, no. 37 (2021): 88–92. http://dx.doi.org/10.31319/2519-2884.37.2020.16.

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Using of automated information systems in the field of geolocation data processing increases the control and management efficiency of freight and passenger traffic. The article presents the results of design and software implementation of the automated information system that allows monitoring of GPS tracking data in real time, build routes and set control points for it, generate system messages about the status of vehicles on the route and generate reporting information on the base of user requests. The design of the system architecture and interface was carried out on the basis of developed

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Mao, Yi, Yi Yang, and Yuxin Hu. "Research into a Multi-Variate Surveillance Data Fusion Processing Algorithm." Sensors 19, no. 22 (2019): 4975. http://dx.doi.org/10.3390/s19224975.

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Targeted information sources include radar and ADS (Automatic Dependent Surveillance) for civil ATM (Air Traffic Management) systems, and the new navigation system based on satellites has the capability of global coverage. In order to solve the surveillance problem in mid-and-high altitude airspace and approaching airspace, this paper proposes a filter-based covariance matrix weighting method, measurement variance weighting method, and measurement-first weighted fusion method weighting integration algorithm to improve the efficiency of data integration calculation under fixed accuracy. Besides

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Umetalieva, Ch T., N. Y. Temirbaeva, and B. N. Nurtaev. "THEORY OF BUILDING AUTOMATED CONTROL SYSTEMS." Herald of KSUCTA, №2, Part 1, 2022, no. 2-1-2022 (April 30, 2022): 295–99. http://dx.doi.org/10.35803/1694-5298.2022.2.295-299.

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The task of collecting, processing and disseminating (exchanging) information stood at all stages of human development. For a long time, the main tools for solving it were the human brain, hearing and language. Storing information in computer memory gives a fundamentally new quality of dynamics, that is, the ability to quickly recover and use it directly in problems solved on a computer. Modern printing equipment, equipped with modern computers, allows, if necessary, to quickly present any selected information on paper. In the process of development of the administrative data management system

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Shevchenko, Olga. "Regulatory Architecture of Data Processing for Connected and Automated Driving in Europe." International Journal of Law and Public Administration 2, no. 2 (2019): 24. http://dx.doi.org/10.11114/ijlpa.v2i2.4594.

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The beginning of the 2020s ought to reflect a steady conclusion of the vast majority of the European Union’s projects with regards to the new era of connectivity and mobility within the European Union dimension. We expect Intelligent Connected Vehicles (ICVs) to step into free circulation within the internal market. Since the operation of the ICVs depends on the number of data processing operations, data processing operations should be precisely determined and framed beforehand. ICVs data operations consist of extraordinarily large volumes and velocity of a data flow which previously existed i

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Díaz-Choque, Martín, Vidalina Chaccara-Contreras, Giorgio Aquije-Cárdenas, et al. "Supervision, control, and data acquisition system of a heat exchanger." Indonesian Journal of Electrical Engineering and Computer Science 28, no. 1 (2022): 155. http://dx.doi.org/10.11591/ijeecs.v28.i1.pp155-164.

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<span>Today, when industry 4.0 is already being talked about, and its advantages at the organizational level, there are still industrial processes that show a lack of automatic regulation mechanisms, which means that an optimal operating process is not guaranteed, nor that monitoring and supervision capacity. In this sense, the purpose of the article is to demonstrate the feasibility of the integration between the programmable logic controller and the Arduino nanocontrollers, this as an alternative to automate a concentric tube heat exchanger, for monitoring and data acquisition through

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Branisavljević, Nemanja, Zoran Kapelan, and Dušan Prodanović. "Improved real-time data anomaly detection using context classification." Journal of Hydroinformatics 13, no. 3 (2011): 307–23. http://dx.doi.org/10.2166/hydro.2011.042.

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The number of automated measuring and reporting systems used in water distribution and sewer systems is dramatically increasing and, as a consequence, so is the volume of data acquired. Since real-time data is likely to contain a certain amount of anomalous values and data acquisition equipment is not perfect, it is essential to equip the SCADA (Supervisory Control and Data Acquisition) system with automatic procedures that can detect the related problems and assist the user in monitoring and managing the incoming data. A number of different anomaly detection techniques and methods exist and c

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Eszteri, Dániel. "Blockchain and Artificial Intelligence: Connecting Two Distinct Technologies to Comply with GDPR's Data Protection By Design Principle." Masaryk University Journal of Law and Technology 16, no. 1 (2022): 59–88. http://dx.doi.org/10.5817/mujlt2022-1-3.

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The aim of the paper is to present some of the general principles of data protection law that can be applied to automated decision-making applications embedded into blockchain technology in order to comply with the provision of the European Union’s General Data Protection Regulation (GDPR). The analysis focuses on the applicability of the ‘data protection by design’ principle during the development of such systems. Because blockchain-based networks are built on distributed data processing operations, therefore data controlling or processing of participating nodes should comply some abstract da

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Zhelyazova, Velqna. "Algorithm for information protection in the auto-mated systems." Journal scientific and applied research 1, no. 1 (2012): 35–40. http://dx.doi.org/10.46687/jsar.v1i1.14.

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This scientific report proposes Algorithm to protect information from unauthorized access (IPUA) in the automated systems (AS) with integrated procedures of analysis and synthesis. Currently, the insurance of the information safety (IS) in the automated systems for information processing in the management of different objects becomes a major importance. These objects include: telecommunication systems, banking systems, systems providing the work of the atom electro stations, systems for management of sea, air and land transport, systems for processing and storing of confidential and secret inf

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Badalyan, V. G., A. Kh Vopilkin, S. A. Dolenko, Yu V. Orlov, and I. G. Persiantsev. "Data-processing algorithms for automatic operation of ultrasonic systems with coherent data processing." Russian Journal of Nondestructive Testing 40, no. 12 (2004): 791–800. http://dx.doi.org/10.1007/s11181-005-0108-7.

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Yanjie, Zhang, Liu Hongyu, and Liu Xin Yu. "Intelligent metering systems designed to achieve energy efficiency of the production process." IOP Conference Series: Earth and Environmental Science 990, no. 1 (2022): 012033. http://dx.doi.org/10.1088/1755-1315/990/1/012033.

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Abstract The intelligent electricity metering system is designed to collect data from electricity meters in an automatic mode (i.e. without the direct participation of the electricity consumer and other persons). Intelligent energy metering systems rely on a network of smart meters and have a number of new features: bidirectional interaction with meters; automated processing and storage of large amounts of data; flexible and user-friendly interface; active involvement of consumers in the process of energy management

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Rathee, Geetanjali, Adel Khelifi, and Razi Iqbal. "Artificial Intelligence- (AI-) Enabled Internet of Things (IoT) for Secure Big Data Processing in Multihoming Networks." Wireless Communications and Mobile Computing 2021 (August 11, 2021): 1–9. http://dx.doi.org/10.1155/2021/5754322.

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The automated techniques enabled with Artificial Neural Networks (ANN), Internet of Things (IoT), and cloud-based services affect the real-time analysis and processing of information in a variety of applications. In addition, multihoming is a type of network that combines various types of networks into a single environment while managing a huge amount of data. Nowadays, the big data processing and monitoring in multihoming networks provide less attention while reducing the security risk and efficiency during processing or monitoring the information. The use of AI-based systems in multihoming b

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Simavoryan, Simon Zhorzhevich, Arsen Rafikovich Simonyan, Georgii Aleksandrovich Popov, and Elena Ivanovna Ulitina. "Analysis of possible adaptation of the general pattern of immune system within the systems for preventing intrusions." Вопросы безопасности, no. 4 (April 2020): 36–46. http://dx.doi.org/10.25136/2409-7543.2020.4.33736.

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The subject of this research is the analysis of possible implementation of the mechanisms of functionality of human immune system applicable to information security systems in automated data processing systems. The objects of this research are the human immune system, information security systems, and automated data processing systems. The research is conducted on the basis of achievements of systemic-conceptual approach towards information protection in automated data processing systems, developed within the framework of the project sponsored by the Russian Foundation for Basic Research No. 1

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Pasyanos, Michael E., Douglas S. Dreger, and Barbara Romanowicz. "Toward real-time estimation of regional moment tensors." Bulletin of the Seismological Society of America 86, no. 5 (1996): 1255–69. http://dx.doi.org/10.1785/bssa0860051255.

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Abstract Recent advances in broadband station coverage, continuous telemetry systems, moment-tensor procedures, and computer data-processing methods have given us the opportunity to automate the two regional moment-tensor methods employed at the UC Berkeley Seismographic Station for events in northern and central California. Preliminary solutions are available within minutes after an event has occurred and are subsequently human reviewed. We compare the solutions of the two methods to each other, as well as the automatic and revised solutions of each individual method. Efforts are being made t

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Onishchenko, P. S., K. Y. Klyshnikov, and E. A. Ovcharenko. "Artificial Neural Networks in Cardiology: Analysis of Numerical and Text Data." Mathematical Biology and Bioinformatics 15, no. 1 (2020): 40–56. http://dx.doi.org/10.17537/2020.15.40.

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This review discusses works on the use of artificial neural networks for processing numerical and textual data. Application of a number of widely used approaches is considered, such as decision support systems; prediction systems, providing forecasts of outcomes of various methods of treatment of cardiovascular diseases, and risk assessment systems. The possibility of using artificial neural networks as an alternative approach to standard methods for processing patient clinical data has been shown. The use of neural network technologies in the creation of automated assistants to the attending

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Korniienko, I., S. Korniienko, S. Moskalets, S. Kaznachey, and O. Zhyrna. "GEOINFORMATION SUPPORT FOR AUTOMATED TEST PLANNING SUBSYSTEM." Наукові праці Державного науково-дослідного інституту випробувань і сертифікації озброєння та військової техніки, no. 3 (May 28, 2020): 49–55. http://dx.doi.org/10.37701/dndivsovt.3.2020.07.

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The process of testing weapons and military equipment involves numerous manual labor-intensive operations. Such operations can be simplified by fully or partially automating the test planning stages, conducting them directly, and processing the test results. Feature of testing weapons and military equipment is the large amount of data that somehow has a spatial location. One of the modern tools of cartographic representation, processing and analysis of statistical data arrays that have spatial localization, geospatial modeling and situation forecasting is the technology of geoinformation syste

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Zakharev, Andrei A., Evgenii S. Kukin, Iaroslav V. Mazurov, and Aleksandr I. Chizhov. "AUTOMATED SITUATION AWARENESS IN THE NAVY’S COMPUTER-AIDED CONTROL SYSTEMS." АВТОМАТИЗАЦИЯ ПРОЦЕССОВ УПРАВЛЕНИЯ 63, no. 1 (2021): 4–12. http://dx.doi.org/10.35752/1991-2927-2021-1-63-4-12.

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Current development of Armed Forces of the Russian Federation is determined by advancing information technologies. The role of information support in the Navy is constantly growing and is crucial in military decision-making. The article deals with the conceptual approach to the integrated automation of situation awareness in the Navy’s computer-aided control system in order to enhance forces/troops management by providing the force command and military authority officers/ operators with analytical data obtained through acquisition and processing of situation information. For automation upgrade

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Gubernatorov, Oleg. "Assessing the qualiti indicators of automated control system facilities." Automation and modeling in design and management 2022, no. 4 (2022): 12–17. http://dx.doi.org/10.30987/2658-6436-2022-4-12-17.

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The aim of the study is to show the necessity to solve the problem of assessing the quality indicators of the automated systems facilities; to demonstrate that the work quality problem of system facilities is closely connected with choosing rational technologies for processing information in the system. The article is devoted to calculating the main quality indicators of operating the automated system facilities, which include the time to complete the system tasks, the output information accuracy and the system feasibility. Research methods are statistical analysis of the operating quality of

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Vydrin, Nikita K. "STUDY OF PROCESSING METHODS OF GEO-SPATIAL DATA TO MANAGE SUSTAINABLE DEVELOPMENT OF TERRITORIES." Interexpo GEO-Siberia 6, no. 1 (2020): 87–90. http://dx.doi.org/10.33764/2618-981x-2020-6-1-87-90.

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The article discusses the technique for processing satellite images by PlanetScope satellites, implemented as a Planet Analytics Feeds web service. Basic characteristics of the survey equipment of these satellite systems and key steps of automated processing are considered. The obtained information can be used to study and analyze sustainable development of territories, as well as making managerial decisions.

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Abdella, Yisak, and Knut Alfredsen. "A GIS toolset for automated processing and analysis of radar precipitation data." Computers & Geosciences 36, no. 4 (2010): 422–29. http://dx.doi.org/10.1016/j.cageo.2009.08.008.

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Selzer, Sean, Amber L. Annett, and William B. Homoky. "RaDeCC Reader: Fast, accurate and automated data processing for Radium Delayed Coincidence Counting systems." Computers & Geosciences 149 (April 2021): 104699. http://dx.doi.org/10.1016/j.cageo.2021.104699.

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Kobets, D. A., I. V. Balashov, I. G. Sychugov, and V. A. Tolpin. "Organization of control and performance analysis of systems for automated processing of satellite data." Sovremennye problemy distantsionnogo zondirovaniya Zemli iz kosmosa 14, no. 3 (2017): 92–103. http://dx.doi.org/10.21046/2070-7401-2017-14-3-92-103.

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Lagerev, D. G., and E. A. Makarova. "FEATURES OF PRELIMINARY PROCESSING OF SEMI-STRUCTURED MEDICAL DATA IN RUSSIAN FOR USE IN ENSEMBLES OF DATA MINING MODELS." Vestnik komp'iuternykh i informatsionnykh tekhnologii, no. 193 (July 2020): 44–54. http://dx.doi.org/10.14489/vkit.2020.07.pp.044-054.

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The paper considers the problem of integration, processing and mining of poorly structured data of medical information systems in order to make managerial decisions in healthcare. The problems of medical data are described, such as the lack of a sufficient structure, a large number of abbreviations characteristic of specific nosologies, the complexity of the automatic semantic interpretation of some fields. The authors demonstrated an approach to the search and disclosure of abbreviation in texts, based on a combination of machine and human processing. The method proposed by the authors, based

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Lagerev, D. G., and E. A. Makarova. "FEATURES OF PRELIMINARY PROCESSING OF SEMI-STRUCTURED MEDICAL DATA IN RUSSIAN FOR USE IN ENSEMBLES OF DATA MINING MODELS." Vestnik komp'iuternykh i informatsionnykh tekhnologii, no. 193 (July 2020): 44–54. http://dx.doi.org/10.14489/vkit.2020.07.pp.044-054.

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The paper considers the problem of integration, processing and mining of poorly structured data of medical information systems in order to make managerial decisions in healthcare. The problems of medical data are described, such as the lack of a sufficient structure, a large number of abbreviations characteristic of specific nosologies, the complexity of the automatic semantic interpretation of some fields. The authors demonstrated an approach to the search and disclosure of abbreviation in texts, based on a combination of machine and human processing. The method proposed by the authors, based

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Zavyalov, Aleksandr A., and Dmitry A. Andreev. "Management of the radiotherapy quality control using automated Big Data processing." Health Care of the Russian Federation 64, no. 6 (2020): 368–72. http://dx.doi.org/10.46563/0044-197x-2020-64-6-368-372.

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Introduction. In Moscow, the state-of-the-art information technologies for cancer care data processing are widely used in routine practice. Data Science approaches are increasingly applied in the field of radiation oncology. Novel arrays of radiotherapy performance indices can be introduced into real-time cancer care quality and safety monitoring. The purpose of the study. The short review of the critical structural elements of automated Big Data processing and its perspectives in the light of the internal quality and safety control organization in radiation oncology departments. Material and

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Zhuang, Zhen Sheng. "Research on Data Sharing for College Financial Systems and Digital Campus." Applied Mechanics and Materials 687-691 (November 2014): 2706–9. http://dx.doi.org/10.4028/www.scientific.net/amm.687-691.2706.

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With the rapid development of Internet technology and wide use of computer, digitalization also gets large growth attributes to the surprisingly fast development of science and technology at college. The data sharing has become the bottleneck of digital campus development between the financial system and the use of digital campus data files. In this paper, we make the analysis financial data of the financial system and the digital campus network data sharing, automated processing strategies, and achieve the financial data subscription, automated data extraction. Combining financial system and

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Bounabi, Mariem, Karim EL Moutaouakil, and Khalid Satori. "The Optimal Inference Rules Selection for Unstructured Data Multi-Classification." Statistics, Optimization & Information Computing 10, no. 1 (2022): 225–35. http://dx.doi.org/10.19139/soic-2310-5070-1131.

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The Fuzzy Inference System (FIS) is frequently utilized in a variety of Text Mining applications. In the text processing domains, where the amount of the processed data is vast, inserting manual rules for FIS remains a real issue, especially in the text processing domains, where the size of the processed databases is enormous. Therefore, an automated and optimal inference rules (IR) selection strengthens the FIS process. In this work, we propose to apply the FP-Growth as an association model algorithm and an automatic way to identify IR for fuzzy text vectorization. Once the fuzzy vectors are

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BERRY, IAN, JULIE WILSON, JON DIPROSE, DAVE STUART, STEPHEN FULLER, and ROBERT ESNOUF. "IMAGE STORAGE FOR AUTOMATED CRYSTALLIZATION IMAGING SYSTEMS." International Journal of Neural Systems 15, no. 06 (2005): 415–25. http://dx.doi.org/10.1142/s0129065705000384.

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To use crystallography for the determination of the three-dimensional structures of proteins, protein crystals need to be grown. Automated imaging systems are increasingly being used to monitor these crystallization experiments. These present problems of accessibility to the data, repeatability of any image analysis performed and the amount of storage required. Various image formats and techniques can be combined to provide effective solutions to high volume processing problems such as these, however lack of widespread support for the most effective algorithms, such as JPeg2000 which yielded a

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Vogel, Sven C. "gsaslanguage: aGSASscript language for automated Rietveld refinements of diffraction data." Journal of Applied Crystallography 44, no. 4 (2011): 873–77. http://dx.doi.org/10.1107/s0021889811023181.

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A description of the gsaslanguage software is presented. The software provides input to and processes output from theGSASpackage. It allows the development of scripts for the automatic evaluation of large numbers of data sets and provides documentation of the refinement strategies employed, thus fostering the development of efficient refinement strategies. Use of the bash shell and standard Unix text-processing tools, available natively on Linux and Mac OSX platforms andviathe freecygwinsoftware on Windows systems, make this software platform independent.

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Maldjian, Joseph A., Aaron H. Baer, Robert A. Kraft, Paul J. Laurienti, and Jonathan H. Burdette. "Fully Automated Processing of fMRI Data in SPM: from MRI Scanner to PACS." Neuroinformatics 7, no. 1 (2009): 57–72. http://dx.doi.org/10.1007/s12021-008-9040-z.

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Safronov, Aleksey V. "The Gosplan Automated Planning System as a Necessary Step Toward the Nationwide Automated Data Processing and Control System (NACS)." Economic History 15, no. 4 (2019): 395–409. http://dx.doi.org/10.15507/2409-630x.047.015.201904.395-409.

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Introduction. Given the ongoing digitalization of public administration, the Soviet experience in introducing computer-aided planning warrants more research with regard to overcoming departmentalism in creating supra-institutional (national) information systems. Based on the Russian State Archive of the Economy funds, interviews with the planners and Soviet economics literature, this paper examines the reasons behind the creation of the Automated Planning System which was meant to serve as a necessary intermediate step toward the National Information System (NACS). Materials and Methods. Throu

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MacRae, Colin, Nick Wilson, and Mark Pownceby. "Electron Microprobe Mapping as a Tool in Ilmenite Characterisation." Microscopy and Microanalysis 7, S2 (2001): 710–11. http://dx.doi.org/10.1017/s1431927600029627.

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The demand for accurate mineralogical data is increasing rapidly as exploration methods, prospect evaluation procedures and metallurgical optimisation studies become more sophisticated. in response to these needs, semi-automated and automated image processing systems which detect minerals using optical microscopy, scanning electron microscopy or electron microprobe microanalysis (EPMA) are becoming increasingly important tools in the exploration, mining and mineral processing industries. CSIRO Minerals has developed an EPMA based imaging (or mapping) method for characterising ilmenite concentr

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Shtepa, Denis, Vladimir Chen-Shan, Ivan Antonov, and Evgenij Gritskevich. "OVERVIEW OF DATA CONTROL SYSTEMS AND METHODS AT DEVICE ENGINEERING ENTERPRISE." Interexpo GEO-Siberia 6, no. 2 (2019): 99–104. http://dx.doi.org/10.33764/2618-981x-2019-6-2-99-104.

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The article analyzes the situation related to compliance of regime of preservation the integrity of information circulating in automated information system, control of required information protection level in system databases, as well as the correctness of functioning of algorithms used in processing. A situation is considered that is characteristic, first of all, for a device engineering enterprise, in which a similar system is already in operation or is planned to be introduced. Recommendations are given to improve its information security, promising ways of scientific study of arising probl

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Archanjo, Gabriel A., and Fernando J. Von Zuben. "Genetic Programming for Automating the Development of Data Management Algorithms in Information Technology Systems." Advances in Software Engineering 2012 (July 5, 2012): 1–14. http://dx.doi.org/10.1155/2012/893701.

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Information technology (IT) systems are present in almost all fields of human activity, with emphasis on processing, storage, and handling of datasets. Automated methods to provide access to data stored in databases have been proposed mainly for tasks related to knowledge discovery and data mining (KDD). However, for this purpose, the database is used only to query data in order to find relevant patterns associated with the records. Processes modelled on IT systems should manipulate the records to modify the state of the system. Linear genetic programming for databases (LGPDB) is a tool propos

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