Статті в журналах: "Electronic data processing"

1

Spalevic, Zaklina, Milos Ilic, and Dusan Jerotijevic. "Electronic monitoring devices and data processing." Ekonomika 62, no. 4 (2016): 155–66. http://dx.doi.org/10.5937/ekonomika1604155s.

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2

Jacobson, Robert V. "Electronic Data Processing Security—An Overview." International Journal of Network Management 6, no. 2 (March 1996): 77–93. http://dx.doi.org/10.1002/(sici)1099-1190(199603/04)6:2<77::aid-nem184>3.0.co;2-7.

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3

Pratipasen, Matana. "Electronic Data Processing for Pharmacy Today." Thai Journal of Pharmaceutical Sciences 11, no. 4 (January 1, 1986): 265–69. http://dx.doi.org/10.56808/3027-7922.1493.

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4

Mutiarni, Rita. "Implementasi Electronic Data Processing Pada Koperasi Wanita." Eksis: Jurnal Riset Ekonomi dan Bisnis 12, no. 2 (October 20, 2017): 135–48. http://dx.doi.org/10.26533/eksis.v12i2.203.

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5

M.Essa, Youssef, Gamal ATTIYA, Ayman El-Sayed, and Ahmed ElMahalawy. "Data processing platforms for electronic health records." Health and Technology 8, no. 4 (January 31, 2018): 271–80. http://dx.doi.org/10.1007/s12553-018-0219-5.

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6

Muthu, Gopal Sonai, and Krishan Kumar Ahuja. "Electronic Data Processing In Radio Immuno Assay." Journal of Medical Physics 11, no. 3 (1986): 291. http://dx.doi.org/10.4103/0971-6203.50386.

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7

Makalov, A. O., V. A. Smirnov, and A. V. Prokhortsov. "Electronic Auscultation System: Processing of Auscultatory Data." Proceedings of the Southwest State University. Series: IT Management, Computer Science, Computer Engineering. Medical Equipment Engineering 13, no. 2 (August 3, 2023): 137–52. http://dx.doi.org/10.21869/2223-1536-2023-13-2-137-152.

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The purpose of research is to increase the diversity of electronic auscultation system designs with measured characteristics and testing. The series of articles includes the development of a model of the electronic auscultation system, the design of an electronic stethoscope, the manufacture of an experimental sample, the development of a methodology for measuring the amplitude-frequency characteristics of electronic and classical stethoscopes, testing of the proposed models and methods, analysis of auscultative data. The article considers mathematical methods of primary analysis of auscultative data. Recordings of normal and hard breathing were used for the experiment. Frequency, time-frequency and autocorrelation analysis of respiratory sounds was performed. Methods. The research was based on the theory of digital signal processing. The study uses auscultative data obtained from an experimental sample of an electronic auscultation system. Electronic records of hard (pathological) and normal human breathing over the left middle lung were used. Respiratory noises were converted into digital form with the following parameters: sampling frequency fd = 48 kHz; bit depth n = 24 bits; number of channels 1. To analyze the frequency information content of the recordings, their spectra were constructed. A fast Fourier transform was used to calculate the values in the spectra. Results. In the presented work, the frequency characteristics of recordings of hard and normal breathing are analyzed. The values of autocorrelation functions are obtained. An author-regression model of the process of normal breathing is obtained. The problem of analytical determination of the model order remains open and requires a separate solution. The resulting model allows you to generate an equivalent breathing noise of inhalation or exhalation when a signal with a uniform is applied to its input. Conclusion. A sample of the electronic auscultation system has been tested, methods of simplified primary analysis of auscultative data have been proposed. The difference in the results of the treatment of hard and normal breathing has no statistical significance due to the small sample.

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8

Lagutina, I. V. "ELECTRONIC LABOUR BOOKS AND DATA PROTECTION." Наукові праці Національного університету “Одеська юридична академія” 28, no. 29 (January 26, 2022): 129–35. http://dx.doi.org/10.32837/npnuola.v28i29.725.

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Lagutina I. V. Electronic labour book and data protection. – Article. The article considers the protection of personal data as a modern and active law that provides a system of checks and balances to protect the individual if his personal data is processed. Data processing must meet the basic requirements of personal data protection, namely independent control and respect for the rights of the personal data subject. The development of legislation on personal data protection has been marked by a significant expansion of the rights of their subjects and the legal regulation of all transactions with information from collection to destruction. With the adoption of the Law of Ukraine “On Personal Data Protection” of June 1, 2010, a regulatory framework for the protection of personal data in national legal practice was created. It is emphasized that the right to protection of personal data is not absolute; it may be restricted as necessary to satisfy the general interest or to protect the rights and freedoms of others. The right to data protection is often interlinked with other rights, such as freedom of expression and the right to receive and impart information. Any type of information can be personal data, provided that the information relates to an identified person or a person who can be identified. Personal data are processed legally if they meet one of the following criteria: processing is carried out with the consent of the personal data subject; data processing is required by contractual relationship; data processing is necessary for the controller to comply with a legal obligation; data processing is required to comply with the vital interests of personal data subjects or others; data processing is necessary to perform the task in the public interest; the legitimate interests of the controllers or other persons are the basis for processing, but only if they are not outweighed by the interests or fundamental rights of the data subjects. It is necessary to develop a sectoral mechanism for the protection of personal data of employees under labour legislation of Ukraine, as the Law of Ukraine “On Personal Data Protection” does not take into account the peculiarities of personal data protection of employees as subjects of labour relations.

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9

Rushinek, A., and S. F. Rushinek. "Accounting Systems and the Electronic Data Processing Function." Management Decision 23, no. 4 (April 1985): 35–44. http://dx.doi.org/10.1108/eb001383.

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10

Yu, Qian, and Abhijit Shanbhag. "Electronic Data Processing for Error and Dispersion Compensation." Journal of Lightwave Technology 24, no. 12 (December 2006): 4514–25. http://dx.doi.org/10.1109/jlt.2006.886065.

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11

Srivastava, A. K., K. K. Shukla, and S. K. Srivastava. "Exploring neuro-genetic processing of electronic nose data." Microelectronics Journal 29, no. 11 (November 1998): 921–31. http://dx.doi.org/10.1016/s0026-2692(98)00056-1.

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12

Byrne, Edmund. "The Two-Tiered Ethics of Electronic Data Processing." Society for Philosophy and Technology Quarterly Electronic Journal 2, no. 1 (1996): 18–27. http://dx.doi.org/10.5840/techne1996214.

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13

Christoe, Michael J., Jialuo Han, and Kourosh Kalantar‐Zadeh. "Telecommunications and Data Processing in Flexible Electronic Systems." Advanced Materials Technologies 5, no. 1 (November 8, 2019): 1900733. http://dx.doi.org/10.1002/admt.201900733.

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14

Gorbachyk, A. P. "Electronic banks of sociological data." Ukrainian Society 29, no. 2 (July 10, 2009): 14–21. http://dx.doi.org/10.15407/socium2009.02.014.

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The article considers the influence of modern information technologies on the processing and storage of the results of sociological studies and, in this connection, the problem of the establishment of a national bank of sociological data. In particular, the problem of structuring the contents of databases with the help of metadata is indicated. The examples of foreign databases are given, and the possibilities of tools and the software used in their creation are analyzed.

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15

Solomentse, Oleksandr, Tetyana Herasymenko, Olena Kozhokhina, Yuliia Petrova, and Maksym Zaliskyi. "EFFICIENCY OF OPERATIONAL DATA PROCESSING FOR RADIO ELECTRONIC EQUIPMENT." Aviation 23, no. 3 (January 17, 2020): 71–77. http://dx.doi.org/10.3846/aviation.2019.11849.

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The paper deals with the statistical data processing algorithms in operation system of radio electronic equipment. The main purpose is analysis of data processing algorithm efficiency according to the analytical calculations and simulation results. During radio electronic equipment operation failures are possible. These failures affect on the equipment’s technical condition that can deteriorate. In case of condition-based maintenance, it is necessary to detect the time moment of deterioration beginning. Therefore, in this paper the deterioration detection algorithm was developed according to Neyman-Pearson criterion with a fixed sample size. The initial data are times between failures of radio electronic equipment, and these data can be identified by the exponential probability density function. The step-function model was chosen for failure rate change description. To estimate efficiency the operating characteristic was calculated. The simulation based on Monte-Carlo method confirmed the correctness of theoretical calculations.

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16

Hristova, Mariya. "ELECTRONIC DATA PROCESSING WITH QUANTITATIVE EVALUATION OF UNIVERSITY QUALITY." MEST Journal 5, no. 2 (July 15, 2017): 47–57. http://dx.doi.org/10.12709/mest.05.05.02.05.

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17

Reddel, H. K., S. I. Ware, C. M. Salome, C. R. Jenkins, and A. J. Woolcock. "Pitfalls in processing home electronic spirometric data in asthma." European Respiratory Journal 12, no. 4 (October 1, 1998): 853–58. http://dx.doi.org/10.1183/09031936.98.12040853.

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18

Millington, D. "Electronic data processing in practice: a handbook for users." Information and Software Technology 33, no. 2 (March 1991): 167. http://dx.doi.org/10.1016/0950-5849(91)90070-r.

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19

Chiriac, Ana Maria, and Corina Dima. "Data processing for administrative systems." Annals of the ”Dunarea de Jos” University of Galati. Fascicle II, Mathematics, Physics, Theoretical Mechanics 2, no. 46 (December 13, 2023): 126–30. http://dx.doi.org/10.35219/ann-ugal-math-phys-mec.2023.2.10.

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Digitization of public services is a necessity for the development of administration, especially in big cities. Many studies show that citizens need fast and transparent public services. The process of digilatization has different degrees of development in different countries. Although progress still need to be made, Romania's administrative digitization has developed in recent years. The concept of big data and artificial intelligence algorithms are part of Romanian digital administrative systems. This paper describes the stages of a taxpayer registration in an electronic administrative system in Romania. A case study is also presented in order to highlight the evolution of the state of digitization in Romania during the Covid-19 pandemic when it was necessary to avoid traveling to administrative offices.

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20

Acho, Leonardo, Gisela Pujol-Vázquez, and José Gibergans-Báguena. "Electronic Device and Data Processing Method for Soil Resistivity Analysis." Electronics 10, no. 11 (May 27, 2021): 1281. http://dx.doi.org/10.3390/electronics10111281.

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This paper presents a mathematical algorithm and an electronic device to study soil resistivity. The system was based on introducing a time-varying electrical signal into the soil by using two electrodes and then collecting the electrical response of the soil. Hence, the proposed electronic system relied on a single-phase DC-to-AC converter followed by a transformer for the soil-to-circuit coupling. By using the maximum likelihood statistical method, a mathematical algorithm was realized to discern soil resistivity. The novelty of the numerical approach consisted of modeling a set of random data from the voltmeters by using a parametric uniform probability distribution function, and then, a parametric estimation was carried out for dataset analysis. Furthermore, to validate our contribution, a two-electrode laboratory experiment with soil was also designed. Finally, and according to the experimental outcomes, our electronic circuit and mathematical data analysis approach were able to detect different soil resistivities.

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21

Liu, Ying-Jie, Qing-Hao Meng, and Xiao-Nei Zhang. "Data Processing for Multiple Electronic Noses Using Sensor Response Visualization." IEEE Sensors Journal 18, no. 22 (November 15, 2018): 9360–69. http://dx.doi.org/10.1109/jsen.2018.2871599.

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22

Banasiak, Kazimierz. "Selected aspects of measurement data processing in electronic warfare devices." Bulletin of the Military University of Technology 72, no. 3 (September 30, 2023): 83–119. http://dx.doi.org/10.5604/01.3001.0054.6451.

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Electronic warfare (Polish acronym WRE ‒ walka radioelektroniczna) is a set of militaryactions based on the use of the electromagnetic spectrum and it includes:— reception and identification of electromagnetic emissions,— reducing the effectiveness of the enemy’s electronic devices,— enabling effective use of the spectrum by own forces.The task of the WRE in peacetime is to obtain information about radio-electronic devices, especiallyradars. These tasks are performed by ELINT (Electronic Intelligence) and/or ESM (Electronic WarfareSupport Measures) devices. They operate passively in the 0.5÷18 GHz band, their detection is difficultand the information they provide allows to detect a threat to own forces and to take appropriatecountermeasures. Radar recognition is a complex process that involves the following stages. The firststage: gathering measurements and their grouping into the so-called packets and graphical display ofthe received pulse trains. The measurements are represented by the so-called measurement vectors(descriptors) containing signal parameters, including the TOA (Time of Arrival) pulse with nanosecondaccuracy. The second stage: associating pulse packets with logical sources in order to obtainrepresentative data strings. This stage is signal sorting and deinterleaving. The third stage: estimationof the WS signal vector based on the associated pulse packets. The final stage of data processing is thecomparison of the obtained signal descriptor parameters WS with Database (BD) radar patterns. Thereconnaissance result allows for the assessment of the threat resulting from the operation of this radar.Radar recognition requires precise determination of many parameters of its signal. For pulsed radars,important parameters are the Pulse Repetition Interval (PRI) and the type of PRI modulation. Radarsare characterised by a high complexity of PRI changes. This provides great utility and makes it possibleto distinguish even radar units and changes in their locations. This allows for the detection and fullidentification of objects that use radars (e.g. ships) with the given object completely out of sight; it alsoallows to predict intentions of the target. The basic inter-pulse PRI modulations include: stagger, dwelland switch, jitter or sliding. PRI changes in radar signals may be periodic with long cycles, difficultto identify in cluttered conditions. Unfortunately, the received pulse trains are usually distorted. Thismakes the WS estimation process difficult ‒ especially in automatic mode. PRI analysis has receivedmuch attention in the literature. The methods are computationally complex and have numerouslimitations. This article presents ASWC algorithm (Sequential Cycle Detection Algorithm) of PRIproprietary, with relatively low computational complexity. Examples of test results confirming its higheffectiveness in automatic PRI analysis performed under interference conditions were also presented.Keywords: radars, electronic warfare, radar recognition, ELINT, ESM, pulse descriptor, PRI

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23

Septriawan, M. Reza. "PENGOLAHAN DATA AKUNTANSI DENGAN SISTEM ELECTRONIC DATA PROCESSING PADA PT. MULIA TANI JAYA." Warta Dharmawangsa 15, no. 4 (November 4, 2021): 487–92. http://dx.doi.org/10.46576/wdw.v15i4.1523.

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24

Xiao, Yang. "Application of Big Data in Electrical Engineering." Journal of Computing and Electronic Information Management 12, no. 3 (April 30, 2024): 22–27. http://dx.doi.org/10.54097/1cjvmpno.

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Chinese With the continuous progress of science and technology and the rapid development of information technology, big data has become a hot topic in today's society. The application of big data has penetrated into various fields, among which electronic engineering is one of the important application fields. This thesis focuses on the application of big data in electronic engineering and analyses its specific applications in data acquisition and processing, model building and optimization, fault diagnosis and prediction, and intelligent decision-making and control. The study elaborates on the application of big data in electronic engineering. In terms of data acquisition and processing, the applications of sensor data acquisition and processing and signal processing and analysis are highlighted. In the area of model building and optimisation, the paper explores methods for model building and optimisation of electronic devices based on big data. In the area of fault diagnosis and prediction, the paper proposes a fault diagnosis and prediction method based on big data. Finally, in the area of intelligent decision-making and control, the paper discusses intelligent decision-making and control methods based on big data.

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25

Fowler, Kim. "Data processing in measurement instrumentation." IEEE Instrumentation and Measurement Magazine 9, no. 6 (December 2006): 36–42. http://dx.doi.org/10.1109/mim.2006.250649.

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26

Fawwaz, Insidini, Erwin Conery Firtan, Steven -, and Helbert Yawin. "WEBSITE-BASED LIBRARY DATA PROCESSING DESIGN." Jurnal Sistem Informasi dan Ilmu Komputer Prima(JUSIKOM PRIMA) 7, no. 1 (August 26, 2023): 224–34. http://dx.doi.org/10.34012/jurnalsisteminformasidanilmukomputer.v7i1.4029.

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The main problem Indonesia faces, especially in education in the era of globalization, is the low quality of human resources. One of the efforts to improve the quality of human resources is to increase interest in reading and the habit of reading. From this fact, the library is expected to be the center of activities to develop interest in reading and reading habits. Libraries have a great responsibility to increase and generate interest in reading. Library data management is one of the essential activities in running a library. Librarians must be able to process and manage book data efficiently and effectively to avoid losing library property. This study uses PHP to create a website design to assist librarians in processing and storing data about existing books. This study designs a library data processing system that contains library book loans, such as recording books, transactions, and student data collection in the library. The results of this website design can facilitate library staff in organizing and tracking library management quickly and efficiently. Keywords: Digital Library, Library Website, Electronic Journal

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27

Kutateladze, Rusudan, Ana Kobiashvili, and Nodar Darchiashvili. "Data Pre-Processing Procedures at the Call Cente." Works of Georgian Technical University, no. 3(521) (September 29, 2021): 40–46. http://dx.doi.org/10.36073/1512-0996-2021-3-40-46.

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Abstract. The procedures for pre-processing the data of the electronic call management system is implemented in the emergency call center. The purpose of the procedures is to process the raw data entered into the system to obtain statistical data. These procedures, in parallel with data entry, allow data to be converted and stored for later use. Following the introduction of this method, when receiving a statistical request, it is no longer necessary to reperform the procedure, because the data is already stored in the desired form. As a result, the duration of the work to be performed and the required hardware resources are reduced. We analyze the advantages and disadvantages of the data pre-processing method. Also the parameters needed to calculate the average processing time – one of the most important statistical indicators of an electronic system – are given. The paper presents a table corresponding to the example of calculating the average time of call processing. It also shows a formula for calculating the full-time processing time, which is based on the use of simple operations only and does not require much time and hardware resources.

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28

McDonnell, M. D., N. G. Stocks, C. E. M. Pearce, and D. Abbott. "Stochastic resonance and data processing inequality." Electronics Letters 39, no. 17 (2003): 1287. http://dx.doi.org/10.1049/el:20030792.

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29

Felsen, L. B., and L. Carin. "Wave-orientated processing of scattering data." Electronics Letters 29, no. 22 (1993): 1930. http://dx.doi.org/10.1049/el:19931285.

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30

Zhai, Zhenyu, Yaqian Liu, Congju Li, Defa Wang, and Hai Wu. "Electronic Noses: From Gas-Sensitive Components and Practical Applications to Data Processing." Sensors 24, no. 15 (July 24, 2024): 4806. http://dx.doi.org/10.3390/s24154806.

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Artificial olfaction, also known as an electronic nose, is a gas identification device that replicates the human olfactory organ. This system integrates sensor arrays to detect gases, data acquisition for signal processing, and data analysis for precise identification, enabling it to assess gases both qualitatively and quantitatively in complex settings. This article provides a brief overview of the research progress in electronic nose technology, which is divided into three main elements, focusing on gas-sensitive materials, electronic nose applications, and data analysis methods. Furthermore, the review explores both traditional MOS materials and the newer porous materials like MOFs for gas sensors, summarizing the applications of electronic noses across diverse fields including disease diagnosis, environmental monitoring, food safety, and agricultural production. Additionally, it covers electronic nose pattern recognition and signal drift suppression algorithms. Ultimately, the summary identifies challenges faced by current systems and offers innovative solutions for future advancements. Overall, this endeavor forges a solid foundation and establishes a conceptual framework for ongoing research in the field.

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31

Noakes, J. E., J. D. Spaulding, and R. J. Valenta. "Low-Level Liquid Scintillation Counter Array with Computerized Data Acquisition and Age Calculation Capabilities for 14C Dating." Radiocarbon 37, no. 2 (1995): 773–79. http://dx.doi.org/10.1017/s0033822200031325.

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We describe a two-phase study directed toward background reduction of a manual liquid scintillation counter and the interfacing of electronics for counting to a computer data acquisition system. Counter background reduction is achieved with afterpulse electronics, a high-performance cocktail, an auxiliary detector/guard and a special sample vial holder. The data acquisition system is comprised of an electronic signal processor and sorter for operating up to eight counters simultaneously and interfacing to a computer with software for data storage, acquisitions and age dating calculations. We discuss low-background counter modifications, electronic signal processing and computer software for 14C age dating.

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32

A. M., Chernykh. "Blockchain and Processing of Judicial Data." Rossijskoe pravosudie, no. 9 (August 23, 2021): 54–62. http://dx.doi.org/10.37399/issn2072-909x.2021.9.54-62.

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. Improving the electronic document management system of the judicial system requires the use of new information technologies. Conducting trials with guaranteed protection of documentary data of all participants in the trial from changes or loss will reduce the corruption component, increase mutual confidence of the parties involved in the litigation in documents. An system analysis was made of the possibility of using a distributed registry of databases and building on its basis a secure document exchange network using blockchain technology. The work defines the directions of interaction of information resources of federal state systems and the information system of justice on the blockchain platform in the interests of solving the problems of ensuring the openness of user services of the judicial system and the security of legal data of participants in the trial. A conceptual-logical model of interaction of information resources of the parties with increased requirements for mutual trust based on blockchain technology for maintaining a distributed data register and the ability to process multidimensional data (numerical, text, graphic, coordinate, etc.) with a high degree of information security for a long time.

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Sarno, Riyanarto, and Dedy Rahman Wijaya. "Recent development in electronic nose data processing for beef quality assessment." TELKOMNIKA (Telecommunication Computing Electronics and Control) 17, no. 1 (February 1, 2019): 337. http://dx.doi.org/10.12928/telkomnika.v17i1.10565.

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Cetó, Xavier, Francisco Céspedes, and Manel del Valle. "Comparison of methods for the processing of voltammetric electronic tongues data." Microchimica Acta 180, no. 5-6 (January 22, 2013): 319–30. http://dx.doi.org/10.1007/s00604-012-0938-7.

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35

Birkenstock, J. W. "Pioneering: on the frontier of electronic data processing, a personal memoir." IEEE Annals of the History of Computing 22, no. 1 (2000): 4–47. http://dx.doi.org/10.1109/85.815465.

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Rebane, Karl K. "Purely electronic zero-phonon lines in optical data storage and processing." Physical Chemistry Chemical Physics 7, no. 5 (2005): 723. http://dx.doi.org/10.1039/b417730b.

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37

Issitt, PD, and JJ Moulds. "Blood group terminology suitable for use in electronic data processing equipment." Transfusion 32, no. 7 (September 1992): 677–82. http://dx.doi.org/10.1046/j.1537-2995.1992.32792391045.x.

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38

Jing, Ya-Qi, Qing-Hao Meng, Pei-Feng Qi, Meng-Li Cao, Ming Zeng, and Shu-Gen Ma. "A Bioinspired Neural Network for Data Processing in an Electronic Nose." IEEE Transactions on Instrumentation and Measurement 65, no. 10 (October 2016): 2369–80. http://dx.doi.org/10.1109/tim.2016.2578618.

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39

de Mulatier, Séverine, Mohamed Nasreldin, Roger Delattre, Marc Ramuz, and Thierry Djenizian. "Electronic Circuits Integration in Textiles for Data Processing in Wearable Technologies." Advanced Materials Technologies 3, no. 10 (March 6, 2018): 1700320. http://dx.doi.org/10.1002/admt.201700320.

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40

Mane, Sahrun. "ANALISIS HUBUNGAN SISTEM INFORMASI MANAJEMEN DENGAN EFEKTIVITAS KERJA PEGAWAI NEGERI SIPIL PADA BAGIAN PENGOLAHAN DATA ELEKTRONIK PROVINSI SULAWESI TENGGARA." Journal Publicuho 2, no. 2 (July 16, 2019): 75. http://dx.doi.org/10.35817/jpu.v2i2.7880.

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Анотація:

This study aims to determine the implementation of management information systems and the effectiveness of Civil Servants working in the Electronic Data Processing Section of Southeast Sulawesi Province, and to find out the relationship between Management Information Systems and the Effectiveness of Civil Servants Work in the Electronic Data Processing Section of Southeast Sulawesi Province.The population in this study were all employees with the status of Civil Servants working in the Electronic Data Processing Section of Southeast Sulawesi Province, totalling 32 people. Sampling is done by using the saturated sample method (census), which is to use the entire population as a sample (respondent) besides that it is used by 2 informants namely the Head of Section and Head of the Electronic Data Processing Subdivision.In this study used product-moment correlation analysis and qualitative analysis.The results of the study showed that the management information system used by the Electronic Data Processing Section of Southeast Sulawesi Province had on average been good, and the work effectiveness of civil servants in the Electronic Data Processing Section of Southeast Sulawesi Province was also good on average.

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41

Men, Hong, Donglin Chen, Xiaoting Zhang, Jingjing Liu, and Ke Ning. "Data Fusion of Electronic Nose and Electronic Tongue for Detection of Mixed Edible-Oil." Journal of Sensors 2014 (2014): 1–7. http://dx.doi.org/10.1155/2014/840685.

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For the problem of the waste of the edible-oil in the food processing, on the premise of food security, they often need to add new edible-oil to the old frying oil which had been used in food processing to control the cost of the production. Due to the fact that the different additive proportion of the oil has different material and different volatile gases, we use fusion technology based on the electronic nose and electronic tongue to detect the blending ratio of the old frying oil and the new edible-oil in this paper. Principal component analysis (PCA) is used to distinguish the different proportion of the old frying oil and new edible-oil; on the other hand we use partial least squares (PLS) to predict the blending ratio of the old frying oil and new edible-oil. Two conclusions were proposed: data fusion of electronic nose and electronic tongue can be used to detect the blending ratio of the old frying oil and new edible-oil; in contrast to single used electronic nose or single used electronic tongue, the detection effect has increased by using data fusion of electronic nose and electronic tongue.

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42

Conway, T., R. Conway, and S. Tosi. "Signal processing for multitrack digital data storage." IEEE Transactions on Magnetics 41, no. 4 (April 2005): 1333–39. http://dx.doi.org/10.1109/tmag.2005.845394.

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43

Temma, T., M. Iwashita, K. Matsumoto, H. Kurokawa, and T. Nukiyama. "Data flow processor chip for image processing." IEEE Transactions on Electron Devices 32, no. 9 (September 1985): 1784–91. http://dx.doi.org/10.1109/t-ed.1985.22198.

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44

Teller, J., F. Ozguner, and R. Ewing. "Data processing through optical interfaces." IEEE Aerospace and Electronic Systems Magazine 24, no. 10 (October 2009): 42–43. http://dx.doi.org/10.1109/maes.2009.5317786.

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45

Leenaerts, Domine M. W. "Data processing based on wave propagation." International Journal of Circuit Theory and Applications 27, no. 6 (November 1999): 633–45. http://dx.doi.org/10.1002/(sici)1097-007x(199911/12)27:6<633::aid-cta88>3.0.co;2-m.

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46

Nofiyani, Nofiyani, and Wulandari Wulandari. "Implementasi Electronic Data Processing Untuk meningkatkan Efektifitas dan Efisiensi Pada Text Mining." JURNAL MEDIA INFORMATIKA BUDIDARMA 6, no. 3 (July 25, 2022): 1621. http://dx.doi.org/10.30865/mib.v6i3.4332.

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Technological developments make the distribution of the amount of data more and more and continue to grow every day, these developments can be used to mine data which can later be processed into text/information needed for its use. Preprocessing is part of text mining where the process is divided into several stages, namely case folding, symbol removal, slangword conversion, stopword removal, stemming and tokenization. The news obtained is raw data from the xlm file from google alert which is then inputted into a system developed using the PHP programming language and mysql database. The data processing method in this research is Electronic Data Processing. The use of this system is expected to help the data preprocessing process where the process takes a long time, especially if a large sample of data is needed. The results of the study showed that a crawling process data processing information system for 20 data records only takes 0.0079004486401876 Mins and the data cleaning process or preprocessing for 88 data records only takes 0.012900729974111 Mins. In other words, data processing using the system is more effective and efficient for the next process.

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47

SHENG Lei, 盛磊, 吴志勇 WU Zhi-yong, 刘旨春 LIU Zhi-chun, 高策 Gao Ce, 张世学 ZHANG Shi-xue, and 王世刚 WANG Shi-gang. "Data processing for shipboard theodolite." Optics and Precision Engineering 21, no. 9 (2013): 2421–29. http://dx.doi.org/10.3788/ope.20132109.2421.

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48

Garner, Robert, and Rick Dill. "The Legendary IBM 1401 Data Processing System." IEEE Solid-State Circuits Magazine 2, no. 1 (2010): 28–39. http://dx.doi.org/10.1109/mssc.2009.935295.

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49

Gaudiot, J. L. "Data-driven multicomputers in digital signal processing." Proceedings of the IEEE 75, no. 9 (1987): 1220–34. http://dx.doi.org/10.1109/proc.1987.13875.

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50

Peacock, A. M., D. Renshaw, and J. Hannah. "Fuzzy data fusion approach for image processing." Electronics Letters 35, no. 18 (1999): 1527. http://dx.doi.org/10.1049/el:19991021.

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