Journal articles on the topic 'Digital methods of information processing'
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Künkel, H., and H. J. Heinze. "Methods of Digital Information Processing in Clinical Neurophysiology." Methods of Information in Medicine 24, no. 01 (January 1985): 1–4. http://dx.doi.org/10.1055/s-0038-1635352.
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Baldin, Alexander V., and Dmitriy V. Eliseev. "Processing Archive Information in Digital University." ITM Web of Conferences 35 (2020): 02003. http://dx.doi.org/10.1051/itmconf/20203502003.
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The article discusses methods of processing and storing data archive used in the digital university. Disadvantages of these methods are found. As a result, a fundamentally new method of processing and storing information archive in a constantly changing scheme database is proposed. This method uses mivar technologies. The multidimensional space structure has been developed to store the data archive. This multidimensional space describes the temporal relational model. For processing data, archive is proposed scheme for selecting the subspace and converting it into relations. A method of transformation of relational databases into multidimensional mivar space for efficient execution of operations on temporal data with changing structure is proposed. The transition to a multidimensional space allows us to describe the process of changing temporal data and their structure in a unified way. As a result, the time required to adapt the database schema and the redundancy of information storage are reduced. The results of this work are used in the human resource management database of BMSTU.
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Wang, Xi, Taizheng Chen, Dongwei Li, and Shiqi Yu. "Processing Methods for Digital Image Data Based on the Geographic Information System." Complexity 2021 (June 22, 2021): 1–12. http://dx.doi.org/10.1155/2021/2319314.
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Digital image data processing is mainly to input digital image data into a computer to complete the conversion of a continuous spatially distributed image model into a discrete digital model so that the computer can identify, process, and store the processing process of digital image information. Geographic information system (GIS) is a computer system that integrates multiple forms of information expression, and it integrates functions such as collection, processing, transmission, storage, management, analysis, expression, and query retrieval, which can quickly discover the spatial distribution of things and their attributes and can express the results accurately and vividly in various intuitive forms. Therefore, on the basis of summarizing and analyzing previous research works, this paper expounded the research status and significance of processing methods for digital image data, elaborated the development background, current status, and future challenges of the GIS technology, introduced the methods and principles of permutation matrix algorithm and subimage averaging method, constructed the processing model for digital image data based on GIS, analyzed the data structure and its database establishment for digital image, proposed the processing methods for digital image data based on GIS, performed the enhancement processing and calculation classification of digital image data, and finally conducted a case analysis and its result discussion. The study results show that the proposed processing methods for digital image data based on GIS can perform analogue-to-digital conversion of continuous images, complete the steps of sampling, layering, and quantization, and then encode the obtained discrete digital signal into the computer to form an in-plane collection of pixels; this processing method can also organically combine spatial information and image data and identify, process, and store digital image data from both spatial and attribute aspects. The study results of this paper provide a reference for further research on the processing methods for digital image data based on GIS.
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Stepanova, L. N., V. V. Chernova, and I. S. Ramazanov. "USING CLUSTERING METHODS FOR PROCESSING ACOUSTIC-EMISSION INFORMATION." Kontrol'. Diagnostika, no. 254 (2019): 12–21. http://dx.doi.org/10.14489/td.2019.08.pp.012-021.
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The analysis of the developed methods of cluster analysis of acoustic emission signals (AE), performed during the welding process and in the process of strength testing of composite samples and structures, was performed. Clustering in digital form, informative parameters of AE signals, front edge rise rate, as well as dynamic and two-stage clustering are considered. The examples of the use of the developed cluster analysis methods in the control of welding defects, composite samples and elements of aircraft structures during static and cyclic testing are shown. The advantages and disadvantages of various clustering methods for processing AE information are determined.
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Flegner, Patrik, and Ján Kačur. "EVALUATION OF SENSOR SIGNAL PROCESSING METHODS IN TERMS OF INFORMATION THEORY." Acta Polytechnica 58, no. 6 (December 31, 2018): 339–45. http://dx.doi.org/10.14311/ap.2018.58.0339.
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The paper deals with the examination of basic methods of evaluation of sensor signals in terms of the information content of the given method and the used technical means. In this respect, methods based on classical analog systems, digital systems in the time domain of signal processing, hybrid systems and digital systems evaluating signal in the frequency domain are compared. A significant increase in entropy in individual systems is demonstrated in the case of a more complex signal evaluation. For each measuring system, the experimental setups, results, and discussions are described in the paper. The issue described in the article is particularly topical in connection with the development of modern technologies used in the processes and subsequent use of information. The main purpose of the article is to show that the information content of the signal is increased because the signal is more complexly processed.
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Mao, Hongyan. "Information Processing Methods of Electronic Warfare Events Based on Communication Technology." Security and Communication Networks 2022 (January 4, 2022): 1–11. http://dx.doi.org/10.1155/2022/9309710.
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Traditional electronic countermeasure incident intelligence processing has problems such as low accuracy and stability and long processing time. A method of electronic countermeasure incident intelligence processing based on communication technology is proposed. First, use the integrated digital signal receiver to identify various modulation methods in the complex signal environment to facilitate the processing and transmission of communication signals, then establish an electronic countermeasure intelligence processing framework with Esper as the core, and flow the situation to the processing conclusion through the PROTOBUF interactive format Redis cache. The data can realize the intelligent processing of electronic countermeasure incidents. The experimental results show that the method proposed in this paper increases the recall rate by 5 to 20% compared with other methods. This method has high accuracy and stability for electronic countermeasure incident intelligence processing and can effectively shorten the time for electronic countermeasure incident intelligence processing.
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Bogomolov, Alexey. "Information Technologies of Digital Adaptive Medicine." Informatics and Automation 20, no. 5 (September 8, 2021): 1154–82. http://dx.doi.org/10.15622/20.5.6.
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The article provides a comprehensive description of information technologies of digital adaptive medicine. The emphasis is on the applicability to the development of specialized automated complexes, software models and systems for studying the adaptive capabilities of a person to environmental conditions. Requirements for information technologies to enhance these capabilities are formulated. The features of information technologies are reflected in relation to the implementation of applied systemic studies of life support, preservation of professional health and prolongation of human longevity.
Six basic concepts of adaptive medicine with an emphasis on the features of the mathematical support for information processing are characterized, priorities for improving information technologies used in these concepts are determined.
The information technologies used in the tasks of ensuring the professional performance of a person with an emphasis on the need to use adequate methods for diagnosing the state of a person at all stages of professional activity and the need to develop technologies for digital twins that adequately simulate the adaptation processes and reactions of the body in real conditions are considered.
The characteristics of information technologies for personalized monitoring of health risks are given, which make it possible to objectify the effects of physical factors of the conditions of activity and to implement individual and collective informing of personnel about environmental hazards.
The urgent need to standardize information processing methods in the development of information technologies for digital adaptive medicine in the interests of ensuring physiological adequacy and mathematical correctness of approaches to obtaining and processing information about a person's state is shown.
It is concluded that the priorities for improving information technologies of digital adaptive medicine are associated with the implementation of the achievements of the fourth industrial revolution, including the concept of sociocyberphysical systems.
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Kubiak, Ireneusz. "Digital processing methods of images and signals in electromagnetic infiltration process." Image Processing & Communications 18, no. 1 (March 1, 2013): 5–14. http://dx.doi.org/10.2478/v10248-012-0070-7.
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Abstract The article contains information about the capabilities of electromagnetic infiltration process in case of occurrence of strong interfering signals. As a methods supporting infiltration process used method of digital processing of signals and images in the form of histogram transformations, global and local thresholding of signal amplitudes and logical filters. The material presented in the article shows that risk can arise if the uncontrolled use of the computer. Risks that could decide our safety and security of our data. obtained images. Manipulation of histograms, threshold amplitudes of the emission signal correlated with the classified signals or logical filters highlight the weakness of the security used at the source. The presence of strong interfering signals such as vertical and horizontal synchronization signals blocking measurement receivers, do not prevent the reproduction of classified information. Opportunities of the electromagnetic infiltration in situations of weak compromising emissions occurs are presented in the article.
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Prystavka, Pylyp, Kseniia Dukhnovska, Oksana Kovtun, Olga Leshchenko, Olha Cholyshkina, and Anhelina Zhultynska. "Devising information technology for determining the redundant information content of a digital image." Eastern-European Journal of Enterprise Technologies 6, no. 2 (114) (December 29, 2021): 59–70. http://dx.doi.org/10.15587/1729-4061.2021.248698.
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The information technology that implements evaluation of redundant information using the methods of preprocessing and segmentation of digital images has been devised. The metrics for estimating redundant information containing a photo image using the approach based on texture variability were proposed. Using the example of aerial photography data, practical testing and research into the proposed assessment were carried out. Digital images, formed by various optoelectronic facilities, are distorted under the influence of obstacles of various nature. These obstacles complicate both the visual analysis of images by a human and their automatic processing. A solution to the problem can be obtained through preprocessing, which will lead to an increase in the informativeness of digital image data at a general decrease in content. An experimental study of the dependence of image informativeness on the results of overlaying previous filters for processing digital images, depending on the values of parameters of methods, was carried out. It was established that the use of algorithms sliding window analysis can significantly increase the resolution of analysis in the time area while maintaining a fairly high ability in the frequency area. The introduced metrics can be used in problems of computer vision, machine and deep learning, in devising information technologies for image recognition. The prospect is the task of increasing the efficiency of processing the monitoring results by automating the processing of the received data in order to identify informative areas. This will reduce the time of visual data analysis. The introduced metrics can be used in the development of automated systems of air surveillance data recognition.
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Yu, Guo Qing, Chen Meng Sui, and Bing Dong Sui. "Applied-Information Technology with Method of Digital Image Noise Processing." Advanced Materials Research 951 (May 2014): 253–56. http://dx.doi.org/10.4028/www.scientific.net/amr.951.253.
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Digital image processing is a kind of technology which employs a certain algorithm to realize image processing through computer algorithm. The powerful capacity of computing and graphics displaying function of Matlab makes image processing becomes more simple and intuitive. This paper introduces the basic knowledge of dealing with noise in digital image, expounds the neighborhood average method, median filtering in detail, and low pass filtering and other typical of eliminating noise method , and at the same time analyzes and compares the characteristics of several typical methods by use of the software Matlab.
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Chuvykin, B. V., and M. M. Nikiforov. "Increasing ADC dynamic range in information-measuring systems by methods of digital signal processing." Omsk Scientific Bulletin, no. 169 (2020): 58–61. http://dx.doi.org/10.25206/1813-8225-2020-169-58-61.
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Dyomin, V. V., and D. V. Kamenev. "Methods of Processing and Retrieval of Information from Digital Particle Holograms and Their Application." Radiophysics and Quantum Electronics 57, no. 8-9 (January 2015): 533–42. http://dx.doi.org/10.1007/s11141-015-9536-y.
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Wang, Xi, Taizheng Chen, Dongwei Li, and Shiqi Yu. "Corrigendum to “Processing Methods for Digital Image Data Based on the Geographic Information System”." Complexity 2021 (August 3, 2021): 1. http://dx.doi.org/10.1155/2021/9804306.
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Timoshevskaya, Olga, Vladimir Londikov, Dmitry Andreev, Victor Samsonenkov, and Tatyana Klets. "DIGITAL DATA PROCESSING BASED ON WAVELET TRANSFORMS." ENVIRONMENT. TECHNOLOGIES. RESOURCES. Proceedings of the International Scientific and Practical Conference 2 (June 17, 2021): 174–80. http://dx.doi.org/10.17770/etr2021vol2.6634.
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The paper focuses on the main theoretical principles and properties of wavelet transforms. The problem of digital data processing based on wavelet transforms is considered. The analysis and processing of signals and functions that are non-stationary in time and inhomogeneous in space are presented. The authors propose methods of progressive coefficients’ values that combine wavelet decomposition and quantization, the main purpose of which is to convey the most important piece of information about a signal.
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Afanas'ev, Vitaliy M., and Roman S. Ponomarev. "Fiber-optic gyroscope with a phase information signal." ВЕСТНИК ПЕРМСКОГО УНИВЕРСИТЕТА. ФИЗИКА, no. 2 (2021): 23–35. http://dx.doi.org/10.17072/1994-3598-2021-2-23-35.
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A review of the methods of obtaining and processing the VOG signal is carried out. A gyroscope with the formation of a phase information signal in an interference loop (at the optical level) is proposed. The analysis of digital phase difference meters is carried out. The advantages of a gyroscope with a phase information signal and digital signal processing are the linearity of the scale factor, an increase in the dynamic range and a reduction in the influence of external factors on the measurement result.
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Pirogova, E., V. Vojisavljevic, Q. Fang, and I. Cosic. "Computational analysis of DNA photolyases using digital signal processing methods." Molecular Simulation 32, no. 14 (December 2006): 1195–203. http://dx.doi.org/10.1080/08927020601052997.
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Fedorenko, Vyacheslav F., Vitaly E. Tarkivskiy, Nikolay P. Mishurov, and Nikolay V. Trubitsyn. "Digital Data Processing Methods for Estimating Tractive Force of Tractors." Engineering Technologies and Systems 31, no. 1 (March 30, 2021): 127–42. http://dx.doi.org/10.15507/2658-4123.031.202101.127-142.
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Introduction. When carrying out an energy assessment of agricultural machines and traction tests of tractors, the most important indicator is the value of the tractive effort. The existing methods for determining the tractive effort of tractors imply the use of specialized measuring instruments, such as strain gauges and devices for processing and displaying information. The accuracy of determining the tractive effort is significantly influenced by the physical and mechanical properties of soil. To process the useful signal during the measurement of tractive effort, the data stream of the strain gauge sensor must be subjected to additional digital filtering taking into account the operating conditions of the agricultural unit. Materials and Methods. The functions of changing the tractive effort obtained on the K-744R2 tractor in various gears have been analyzed. An algorithm for digital processing of the signal of a strain gauge force meter based on a median filter has been developed that makes it possible to increase the measurement accuracy. The advantage of the proposed method is the ability to cut off sharp short-term impulse noise and sharp fluctuations in the amplitude of the measured value. Results. A method for determining the amount of tractive effort using median signal processing has been proposed. A device for determining the tractive effort during testing of agricultural tractors and units has been developed. The choice of the main components of the device for determining the magnitude of the tractive effort has been substantiated. As a result of the research, a device for measuring and digital processing of the signal of a force meter based on a microcontroller and specialized software for processing initial data in real time was designed and manufactured. Discussion and Conclusion. The developed method makes it possible to exclude the negative effect of impulse noise arising in the process of measuring the tractive effort of the tractor. The proposed device for measuring the tractive effort of tractors is compatible at the level of the exchange protocol with existing devices, has a high speed of operation in real time, multi-channel operation.
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Коряковский, Андрей Валерьевич. "ACTUALIZATION OF DIGITAL LABOR MARKET PLATFORMS INFORMATION." Вестник Тверского государственного университета. Серия: Экономика и управление, no. 2(54) (June 25, 2021): 105–12. http://dx.doi.org/10.26456/2219-1453/2021.2.105-112.
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В статье исследован процесс получения, хранения и создания информации в цифровой платформе по мониторингу рынка труда. Проанализированы зарубежные и российские цифровые платформы. Обсуждены их возможности и особенности реализации. Целью исследования является оценка существующих процессов обработки данных, вопросы оптимизации и актуализации данных для оценки состояния рынка труда в цифровых платформах. Рассмотрены методы обновления и пополнения информации. Научная новизна полученных результатов заключается в разработке подхода обработки данных для цифровой платформы по мониторингу рынка труда, принципов фильтрации и унификации данных для удобства использования их соответствующей аудиторией потребителей в качестве основы для оперативной оценки эффективности решений по управлению развитием своей карьеры. The article explores the process of obtaining, storing and creating information in a digital platform for monitoring the labor market. Analyzed foreign and Russian digital platforms. Their possibilities and peculiarities of implementation were discussed. The purpose of the study is to assess the existing data processing processes, optimization and updating of data to assess the state of the labor market in digital platforms. Methods of updating and replenishing information are considered. The scientific novelty of the results is the development of a data processing approach for a digital labour market monitoring platform, filtering principles and data unification for ease of use by an appropriate consumer audience as a basis for a rapid assessment of the effectiveness of career management solutions.
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Andrych-Zalewska, Monika, Radosław Włostowski, and Radosław Wróbel. "Methods of measuring crankshaft speed in mechatronics." AUTOBUSY – Technika, Eksploatacja, Systemy Transportowe 19, no. 9 (September 30, 2018): 105–7. http://dx.doi.org/10.24136/atest.2018.294.
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The article discusses methods of measuring rotational speed. Classical methods as well as a new method using vibration measurement as the input function in the process of obtaining the result of the crankshaft rotational speed were presented. A classic diagnostic path, as well as digital signal processing, is required to obtain the correct diagnostic INFORMATION. The work also includes information on the CAN bus as well as the EOBD system.
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Paliska, Dejan, Milan Batista, Roman Starin, and Daša Fabjan. "An Attempt to Attain New Information in Reconstruction of Road Traffic Accidents Applying Digital Image Processing." PROMET - Traffic&Transportation 23, no. 2 (January 26, 2012): 113–19. http://dx.doi.org/10.7307/ptt.v23i2.138.
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Court expertise dealing with the reconstruction of road traffic accidents often have to take into account the possibility that an accident could have been a set-up. Such suspicions can be eliminated only by considering all the evidence material from the accident scene. In case of photographic material experts come across the missing material, bad lighting, lack of contrast, different angle perspectives, blurring, omitting important details, etc. Therefore, different methods in forensics image processing have been developed. Most of these methods are primarily used in the processing of different types of photographic material, but some can be applied in the field of road accidents analyses. This paper shows the implementation of digital image processing methods used for processing of remotely sensed imagery. Even though the photographic evidence is incomplete, it is possible to determine the position and dispersion of different materials. This gives the experts additional information that can help in understanding with relatively high probability if the collision between vehicles occured at all and if it did, where. The paper consists of the presentation and description of methods used for digital image processing in a real case study while reconstructing the road accident. KEY WORDS: road traffic accidents, forensics, induced traffic accidents, image classification, digital image processing
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Dobychina, Elena, and Mikhail Snastin. "Digital beamform simulation in anechoic chamber." ITM Web of Conferences 30 (2019): 05003. http://dx.doi.org/10.1051/itmconf/20193005003.
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The results of digital beamform simulation, principles of processing and use of the obtained experimental data are presented. Methods were developed and an experimental setup was created for full- scale modeling and measurement of the characteristics of digital antenna systems with spatio-temporal signal processing at the Scientific and Production Center for Radio Information Metrology of the Moscow Aviation Institute (SPC RIM MAI).
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Mor, Tal, Roman Shapira, and Guy Shemesh. "Digital Signatures with Quantum Candies." Entropy 24, no. 2 (January 28, 2022): 207. http://dx.doi.org/10.3390/e24020207.
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Quantum candies (qandies) represent a type of pedagogical simple model that describes many concepts from quantum information processing (QIP) intuitively without the need to understand or make use of superpositions and without the need of using complex algebra. One of the topics in quantum cryptography that has gained research attention in recent years is quantum digital signatures (QDS), which involve protocols to securely sign classical bits using quantum methods. In this paper, we show how the “qandy model” can be used to describe three QDS protocols in order to provide an important and potentially practical example of the power of “superpositionless” quantum information processing for individuals without background knowledge in the field.
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Konikov, Alexander I. "Teaching advanced methods of signal processing and transmission at universities of civil engineering." Stroitel'stvo: nauka i obrazovanie [Construction: Science and Education] 11, no. 1 (March 30, 2021): 63–72. http://dx.doi.org/10.22227/2305-5502.2021.1.5.
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Introduction. Development and widespread dissemination of information technologies, including the Internet, mobile communications, cloud computing, Big Data, the Internet of Things, digital twin, etc. are being proactively introduced into versatile production and business processes of the construction industry. Therefore, a graduate of a civil engineering university must master the fundamentals of the above-listed technologies and know how to use them in his/her practical activities. It’s particularly important for those specialities that deal with information technologies in civil engineering. However, a number of important areas of knowledge that serve as the basis for mobile communications, the Internet, and wireless technologies, are only taught at specialized universities and schools. Nevertheless, students of civil engineering universities need to understand the theoretical provisions and processes of information technologies. Materials and methods. Systematization, the benchmark method, theoretical generalization of data extracted from literary sources were applied. Results. The founding notions, needed to discuss digital technologies, encompass temporary signal notation, spectral characteristics, spectral bandwidth, time and frequency division, multiplexing, discrete sampling and quantization of a signal. It is impossible to successfully study and effectively use these advanced technologies without having understood these fundamental technologies. The author offers a simplified explanation of these notions and principal processes in terms of their application in the construction industry. Conclusions. The author addresses complicated issues of the theory of signals and their transmission over communication lines. He presents the three key ideas that serve as the basis for multiple advanced information technologies, including time and spectrum signal notation, time and frequency division, multiplexing, discrete sampling and quantization of a signal. The author’s ideas can be used to teach mobile technologies, the Internet, the Internet of Things, cloud and edge computing, digital twin, etc.
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Iqbal, Saima, Wilayat Khan, Abdulrahman Alothaim, Aamir Qamar, Adi Alhudhaif, and Shtwai Alsubai. "Proving Reliability of Image Processing Techniques in Digital Forensics Applications." Security and Communication Networks 2022 (March 31, 2022): 1–17. http://dx.doi.org/10.1155/2022/1322264.
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Binary images have found its place in many applications, such as digital forensics involving legal documents, authentication of images, digital books, contracts, and text recognition. Modern digital forensics applications involve binary image processing as part of data hiding techniques for ownership protection, copyright control, and authentication of digital media. Whether in image forensics, health, or other fields, such transformations are often implemented in high-level languages without formal foundations. The lack of formal foundation questions the reliability of the image processing techniques and hence the forensic results loose their legal significance. Furthermore, counter-forensics can impede or mislead the forensic analysis of the digital images. To ensure that any image transformation meet high standards of safety and reliability, more rigorous methods should be applied to image processing applications. To verify the reliability of these transformations, we propose to use formal methods based on theorem proving that can fulfil high standards of safety. To formally investigate binary image processing, in this paper, a reversible formal model of the binary images is defined in the Proof Assistant Coq. Multiple image transformation methods are formalized and their reliability properties are proved. To analyse real-life RGB images, a prototype translator is developed that reads RGB images and translate them to Coq definitions. As the formal definitions and proof scripts can be validated automatically by the computer, this raises the reliability and legal significance of the image forensic applications.
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Ngo, Uoc Quang, Duong Tri Ngo, Hoc Thai Nguyen, and Thanh Dang Bui. "Digital image processing methods for estimating leaf area of cucumber plants." Indonesian Journal of Electrical Engineering and Computer Science 25, no. 1 (January 1, 2022): 317. http://dx.doi.org/10.11591/ijeecs.v25.i1.pp317-328.
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Increasingly <span>emerging technologies in agriculture such as computer vision, artificial intelligence technology, not only make it possible to increase production. To minimize the negative impact on climate and the environment but also to conserve resources. A key task of these technologies is to monitor the growth of plants online with a high accuracy rate and in non-destructive manners. It is known that leaf area (LA) is one of the most important growth indexes in plant growth monitoring system. Unfortunately, to estimate the LA in natural outdoor scenes (the presence of occlusion or overlap area) with a high accuracy rate is not easy and it still remains a big challenge in eco-physiological studies. In this paper, two accurate and non-destructive approaches for estimating the LA were proposed with top-view and side-view images, respectively. The proposed approaches successfully extract the skeleton of cucumber plants in red, green, and blue (RGB) images and estimate the LA of cucumber plants with high precision. The results were validated by comparing with manual measurements. The experimental results of our proposed algorithms achieve 97.64% accuracy in leaf segmentation, and the relative error in LA estimation varies from 3.76% to 13.00%, which could meet the requirements of plant growth monitoring </span>systems.
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Andersen, Stacy L., Benjamin Sweigart, Nancy W. Glynn, Mary K. Wojczynski, Bharat Thyagarajan, Jonas Mengel-From, Stephen Thielke, et al. "Digital Technology Differentiates Graphomotor and Information Processing Speed Patterns of Behavior." Journal of Alzheimer's Disease 82, no. 1 (June 29, 2021): 17–32. http://dx.doi.org/10.3233/jad-201119.
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Background: Coupling digital technology with traditional neuropsychological test performance allows collection of high-precision metrics that can clarify and/or define underlying constructs related to brain and cognition. Objective: To identify graphomotor and information processing trajectories using a digitally administered version of the Digit Symbol Substitution Test (DSST). Methods: A subset of Long Life Family Study participants (n = 1,594) completed the DSST. Total time to draw each symbol was divided into ‘writing’ and non-writing or ‘thinking’ time. Bayesian clustering grouped participants by change in median time over intervals of eight consecutively drawn symbols across the 90 s test. Clusters were characterized based on sociodemographic characteristics, health and physical function data, APOE genotype, and neuropsychological test scores. Results: Clustering revealed four ‘thinking’ time trajectories, with two clusters showing significant changes within the test. Participants in these clusters obtained lower episodic memory scores but were similar in other health and functional characteristics. Clustering of ‘writing’ time also revealed four performance trajectories where one cluster of participants showed progressively slower writing time. These participants had weaker grip strength, slower gait speed, and greater perceived physical fatigability, but no differences in cognitive test scores. Conclusion: Digital data identified previously unrecognized patterns of ‘writing’ and ‘thinking’ time that cannot be detected without digital technology. These patterns of performance were differentially associated with measures of cognitive and physical function and may constitute specific neurocognitive biomarkers signaling the presence of subtle to mild dysfunction. Such information could inform the selection and timing of in-depth neuropsychological assessments and help target interventions.
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Doukovska, Lyubka, Venko Petkov, Emil Mihailov, and Svetla Vassileva. "Image Processing for Technological Diagnostics of Metallurgical Facilities." Cybernetics and Information Technologies 12, no. 4 (December 1, 2012): 66–76. http://dx.doi.org/10.2478/cait-2012-0031.
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Abstract The paper presents an overview of the image-processing techniques. The set of basic theoretical instruments includes methods of mathematical analysis, linear algebra, probability theory and mathematical statistics, theory of digital processing of one-dimensional and multidimensional signals, wavelet-transforms and theory of information. This paper describes a methodology that aims to detect and diagnose faults, using thermographs approaches for the digital image processing technique.
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Zhao, Lan, and Tao Zeng. "Target Recognition Application of Real-Time Optical Information Processing System." Applied Mechanics and Materials 536-537 (April 2014): 197–200. http://dx.doi.org/10.4028/www.scientific.net/amm.536-537.197.
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This paper focuses on the visual tracking algorithm in optical imaging surveillance and tracking system. The tracking particle filter framework deemed find sparse representation problem, can effectively overcome the visual tracking algorithm appears in noise, occlusion, background interference and complex situations such as illumination changes. Morphological methods using digital occlusion area is detected to determine whether the date is added to the template tracking results set, thereby updating the control template, to effectively prevent the drift tracking results.
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Rosidy, Ahmad Syarif, Tubagus Mohammad Akhriza, and Mochammad Husni. "Combining the NER-OCR methods to improve information retrieval efficiency in the Indonesian posters." Jurnal Teknologi dan Sistem Komputer 8, no. 4 (July 10, 2020): 263–69. http://dx.doi.org/10.14710/jtsiskom.2020.13686.
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Event organizers in Indonesia often use websites to disseminate information about these events through digital posters. However, manually processing for transferring information from posters to websites is constrained by time efficiency, given the increasing number of posters uploaded. Also, information retrieval methods, such as Named Entity Recognition (NER) for Indonesian posters, are still rarely discussed in the literature. In contrast, the NER method application to Indonesian corpus is challenged by accuracy improvement because Indonesian is a low-resource language that causes a lack of corpus availability as a reference. This study proposes a solution to improve the efficiency of information extraction time from digital posters. The proposed solution is a combination of the NER method with the Optical Character Recognition (OCR) method to recognize text on posters developed with the support of relevant training data corpus to improve accuracy. The experimental results show that the system can increase time efficiency by 94 % with 82-92 % accuracy for several extracted information entities from 50 testing digital posters.
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Safonov, V. M., D. A. Pavlov, and A. N. Pavlov. "Justification of information interaction architecture of remote sensing data processing system." Informatization and communication 5 (December 2020): 141–50. http://dx.doi.org/10.34219/2078-8320-2020-11-5-141-150.
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Purpose: To fi nd an approach to substantiation of the rational architecture of information interaction of the Earth Remote Sensing Data Processing System. Materials and methods: When conducting research in the fi eld of distributed remote sensing data processing as part of the design of a remote sensing data processing system, it seems necessary to create some digital prototype of it. At the fi rst stage of creating such a “digital double”, the architecture of the information interaction of upper-level elements (services, modules, etc.) should be justifi ed in order to ensure effective and consistent application of the system software components. Results: The article proposes an approach to justifying and choosing the architecture of a software system, which is based on production models of decision maker preferences for describing simple and complex reference situations of the survey, processing of knowledge data using methods of the theory of fuzzy measures and theory of experimental design and checking statements Decision maker for consistency. Conclusions: The proposed approach will signifi cantly increase the degree of formalization and validity of the selection process, which as a result provides the opportunity to increase its automation level.
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Lagovsky, B. A., and E. Ya Rubinovich. "Algorithms for Digital Processing of Measurement Data Providing Angular Superresolution." Mekhatronika, Avtomatizatsiya, Upravlenie 22, no. 7 (July 8, 2021): 349–56. http://dx.doi.org/10.17587/mau.22.349-356.
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Incorrect one- and two-dimensional inverse problems of reconstructing images of objects with angular resolutionexceeding the Rayleigh criterion are considered. The technique is based on the solution of inverse problems of source reconstruction signals described Fredholm integral equations. Algebraic methods and algorithms for processing dataobtained by measuring systems in order to achieve angular superresolution are presented. Angular superresolution allows you to detail images of objects, solve problems of their recognition and identification on this basis. The efficiency of using algorithms based on developed algebraic methods and their modifications in parameterization the inverse problems under study and further reconstructing approximate images of objects of various types is shown. It is shown that the noise immunity of the obtained solutions exceeds many known approaches. The results of numerical experiments demonstrate the possibility of obtaining images with a resolution exceeding the Rayleigh criterion by 2-6 times at small values of the signal-to-noise ratio. The ways of further increasing the degree of superresolution based on the intelligent analysis of measurement data are described. On the basis of the preliminary information on a source of signals algorithms allow to increase consistently the effective angular resolution before achievement greatest possible for a solved problem. Algorithms of secondary processing of the information necessary for it are described. It is found that the proposed symmetrization algorithm improves the quality of solutions to the inverse problems under consideration and their stability. The examples demonstrate the successful application of modified algebraic methods and algorithms for obtaining images of the objects under study in the presence of a priori information about the solution. The results of numerical studies show that the presented methods of digital processing of received signals allow us to restore the angular coordinates of individual objects under study and their elements with super-resolution with good accuracy. The adequacy and stability of the solutions were verified by conducting numerical experiments on a mathematical model. It was shown that the stability of solutions, especially at a significant level of random components, is higher than that of many other methods. The limiting possibilities of increasing the effective angular resolution and the accuracy of image reconstruction of signal sources, depending on the level of random components in the data utilized, are found. The effective angular resolution achieved in this case is 2—10 times higher than the Rayleigh criterion. The minimum required signal-to-noise ratio for obtaining adequate solutions with super-resolution is 13—16 dB for the described methods, which is significantly less than for the known methods. The relative simplicity of the presented methods allows you to use inexpensive computing devices and work in real time.
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NATALIIA, Vozna, and Makogin VOLODYMYR. "THEORETICAL FUNDAMENTALS OF STRUCTURING THE METHODS OF SPECTRAL ANALYSIS IN DIFFERENT NUMBER SYSTEMS." Herald of Khmelnytskyi National University 305, no. 1 (February 23, 2022): 168–74. http://dx.doi.org/10.31891/2307-5732-2022-305-1-168-174.
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This paper deals with solving the scientific problem of developing the theory and methodology of spectral analysis of the processes of generation, conversion, transmission, digital processing and presentation of information based on mathematical principles in various number systems. Theoretical foundations of data structuring in the processes of generation, conversion, transmission, digital processing and presentation of information based on mathematical principles of different code systems make the study of spectral analysis in this area a promising task, as almost all fields of modern civilization are closely connected with the informatization of society and the corresponding structuring of information flows. The possibility of generalizing the theory and methodology of structuring multifunctional data and the transition from one spectrum to another provides a basis for effective analysis, evaluation and processing of information. Spectral analysis is applied to algorithmic solutions when performing measurements, generating data codes in different code systems, number systems and conducting specialized transformations over information flows. The analysis of the existing experience of data structuring, methodology of structural organization of spectra and the creation of processors for computer systems using the Rademacher number system, which generates a binary number system, shows the tendency to increasing use of other number systems, including the unitary one, Haar, Chrestenson and Galois systems. The implementation of specialized, signal, switching and problem-oriented digital data processors is often carried out on the basis of the combined use of the above mentioned number systems. In this regard, a problem of in-depth study of the theory and methods of spectral analysis and the characteristics of the code systems of “non-Rademacher” number systems and the limits of their use for the implementation of components of both specialized and universal processors arises.
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Ferreira, Sara, Mário Antunes, and Manuel E. Correia. "A Dataset of Photos and Videos for Digital Forensics Analysis Using Machine Learning Processing." Data 6, no. 8 (August 5, 2021): 87. http://dx.doi.org/10.3390/data6080087.
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Deepfake and manipulated digital photos and videos are being increasingly used in a myriad of cybercrimes. Ransomware, the dissemination of fake news, and digital kidnapping-related crimes are the most recurrent, in which tampered multimedia content has been the primordial disseminating vehicle. Digital forensic analysis tools are being widely used by criminal investigations to automate the identification of digital evidence in seized electronic equipment. The number of files to be processed and the complexity of the crimes under analysis have highlighted the need to employ efficient digital forensics techniques grounded on state-of-the-art technologies. Machine Learning (ML) researchers have been challenged to apply techniques and methods to improve the automatic detection of manipulated multimedia content. However, the implementation of such methods have not yet been massively incorporated into digital forensic tools, mostly due to the lack of realistic and well-structured datasets of photos and videos. The diversity and richness of the datasets are crucial to benchmark the ML models and to evaluate their appropriateness to be applied in real-world digital forensics applications. An example is the development of third-party modules for the widely used Autopsy digital forensic application. This paper presents a dataset obtained by extracting a set of simple features from genuine and manipulated photos and videos, which are part of state-of-the-art existing datasets. The resulting dataset is balanced, and each entry comprises a label and a vector of numeric values corresponding to the features extracted through a Discrete Fourier Transform (DFT). The dataset is available in a GitHub repository, and the total amount of photos and video frames is 40,588 and 12,400, respectively. The dataset was validated and benchmarked with deep learning Convolutional Neural Networks (CNN) and Support Vector Machines (SVM) methods; however, a plethora of other existing ones can be applied. Generically, the results show a better F1-score for CNN when comparing with SVM, both for photos and videos processing. CNN achieved an F1-score of 0.9968 and 0.8415 for photos and videos, respectively. Regarding SVM, the results obtained with 5-fold cross-validation are 0.9953 and 0.7955, respectively, for photos and videos processing. A set of methods written in Python is available for the researchers, namely to preprocess and extract the features from the original photos and videos files and to build the training and testing sets. Additional methods are also available to convert the original PKL files into CSV and TXT, which gives more flexibility for the ML researchers to use the dataset on existing ML frameworks and tools.
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Reji, A. Amala Arul, and S. Muruganantham. "Building Detection From Satellite Images for Urban Planning Using MATLAB-Based Pattern Matching Method." International Journal of Creative Interfaces and Computer Graphics 10, no. 2 (July 2019): 17–28. http://dx.doi.org/10.4018/ijcicg.2019070102.
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Remote sensing and satellite image processing has many applications and an emerging field of trending in recent research. Remote sensing methods for extraction of information are used to obtain information related to the Earth's resources and environment for most government-based research applications. Few enhanced hybrid algorithms are reported and in use for real-world applications in recent years by extensive research for digital image processing. The digital images and satellite images are now extensively used for its information, which have many advantages over present analog image processing methods. The satellite data are larger and carry enormous amounts of information for applications like land description, crop assessment, cultivation monitoring, meteorology, regional description, underwater analysis, sea water interpretation, and so on. This paper analyses the requirements of better interpretation methods of received/captured images and newer processing techniques required. This paper presents complete study and pattern matching research in image processing tools using MATLAB programming and its capabilities that could be used in remote sensing applications in the future.
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Gurunlu, Bilgehan, and Serkan Ozturk. "A Survey on Photo Forgery Detection Methods." ITM Web of Conferences 22 (2018): 01055. http://dx.doi.org/10.1051/itmconf/20182201055.
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In recent years, digital image forgery detection has become one of the hardest studying area for researchers investigations in the field of information security and image processing. Image forgery detection methods can be divided into two extensive groups such as Active methods and Passive (Blind) methods. Active methods have been used data hiding techniques like watermarking and digital signatures. Passive forensic methods (or Blind) use image statistics or they investigate the attributes of the image to determine the forgeries. Passive detection techniques are also split into three branches; image splicing, image retouching, copy-move. Such image forgery detection methods are focus of this paper.
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Sun, Mao Heng, Wei Jiang, Chen Hao Hu, and Tian Tian Feng. "Discussion on Excavation Monitoring Schemes Based on Image Processing." Applied Mechanics and Materials 71-78 (July 2011): 4317–20. http://dx.doi.org/10.4028/www.scientific.net/amm.71-78.4317.
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This study breaks through traditional displacement and inclination monitoring methods in excavation engineering, and proposes for the first time that combining excavation engineering with subjects such as Iconology, Signal Processing and Wireless Sensor Network, use Digital Signal Processing, Digital Image Processing, and Micro-Displacement Sensing technology for monitoring and processing various types of displacement. Then collect all monitoring points’ information through Internet of Things technology into database processing platform for processing, in order to achieve automatic real-time monitoring.
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Smirnov, A. V. "Digital Demography Methods for Forecasting Migration Processes." Economy of regions 18, no. 1 (2022): 133–45. http://dx.doi.org/10.17059/ekon.reg.2022-1-10.
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The nature and intensity of migration processes are constantly changing. Demographic statistics are not suitable for obtaining up-to-date information and making timely decisions in the field of demographic and social policy. Thus, digital demography is becoming increasingly important, as this area of population research uses new methods and data sources resulting from the Internet expansion and the digitalisation of society. Using digital demography methods and emerging data sources, the study aims to identify current migration trends in Russia at the municipal level. The duality of the object (real and virtual population) and methods (demographic and data science methods) of digital demography is demonstrated. Digital data sources for studying migration and relevant processing methods were considered. Further, it was proposed to assess migration flows by examining social network information and graphs of migration routes. The analysis of data obtained from the “Virtual population of Russia” project for 2356 urban and municipal regions revealed the features of intermunicipal migration and the centres of migration attraction in the country. An indicator for assessing the potential of future migrations based on the graphs of migration routes was presented. The analysis results show that balanced spatial development of Russia requires the stimulation of human capital development in local centres characterised by high migration potential. These include regional capitals, “second” cities in terms of population, and some research and industrial centres. The study findings can be used to consider demographic processes at the municipal level and elaborate strategic documents in the field of regional spatial development. Further digitalisation and the implementation of digital economy projects will lead to the accumulation of population data at the national level. Therefore, future research should focus on improving digital demography methods for studying and forecasting demographic processes.
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Sukhodolov, Alexander, Sergey Ivantsov, Tatiana Molchanova, and Boris Spasennikov. "Digital Criminology: Mathematical Methods of Prediction (Part 2)." Russian Journal of Criminology 12, no. 3 (June 18, 2018): 323–29. http://dx.doi.org/10.17150/2500-4255.2018.12(3).323-329.
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The paper is devoted to the problems of digital criminology, the analysis of the methods of mathematical forecasting and the possibility of using them for crime research. The growing complexity of the task of crime counteraction determines the necessity for both the critical overhaul of the existing methods and the search for opportunities to go beyond the boundaries of the traditional methods of researching legal phenomena. The information and analytical work of law enforcement bodies based on the development of crime prevention programs has the key goal of the application of mathematical methods of crime analysis. The object of research is the complex of mathematical methods selected on the basis of their suitability for the purpose of criminological prediction. The authors single out the following methods: the modeling method, the correlation analysis, the analysis of rank correlations and conjugacy tables, discriminant analysis, regression analysis, dispersive analysis, covariance analysis, factor analysis, time series analysis, seasonal oscillation method, maximum likelihood method (in particular, its variety - least squares method), average annual growth rate calculation method, logical decision functions method, pattern recognition, calculus of variations, spectral analysis, Markov chains, algebra of logic, etc. Mathematical prediction in digital criminology consists in using the existing quantitative and qualitative parameters of criminality, calculating their mathematical dependence on time, space and other independent variables. The conducted research allowed the authors to state that the mathematical processing of criminological information makes it possible to improve the accuracy of predictions.
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Jia, Shizhen, Yi Liao, Yuqing Xiao, Bo Zhang, Xiangbin Meng, and Ke Qin. "Methods of Conserving and Managing Cultural Heritage in Classical Chinese Royal Gardens Based on 3D Digitalization." Sustainability 14, no. 7 (March 30, 2022): 4108. http://dx.doi.org/10.3390/su14074108.
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In this study, we aimed to implement information obtained and refined from garden elements in heritage conservation, monitoring, and management to precisely construct an information model of classical Chinese gardens, including information on the garden entity, garden space, and garden attributes, etc., and to improve the management efficiency of classical Chinese royal gardens. Three-dimensional laser scanning technology and point cloud information were used to accurately collect and process digital information from classical Chinese royal gardens. After classifying and processing the point cloud data, correlations therein could be further assessed and used to greatly improve the accuracy and management efficiency of spatial information. To provide a more convenient solution for the subsequent conservation and management of landscape heritage, a method for establishing a three-dimensional digital information database and a full life-cycle application management platform for classical Chinese royal gardens is proposed in this research. This method has broad applications for the digital conservation and management of cultural heritage.
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Liu, Chanzi, Qingchun Chen, Hongbin Liang, and Hengchao Li. "Digital Watermarking Processing Technique Based on Overcomplete Dictionary." International Journal of Pattern Recognition and Artificial Intelligence 30, no. 10 (November 23, 2016): 1658002. http://dx.doi.org/10.1142/s0218001416580027.
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A novel sparse domain-based information hiding framework is proposed in this paper to attach the watermarking signal to the most significant sparse components of the host signal over the pre-defined overcomplete dictionary. The adaptive sparse domain can be utilized to embed watermarking logo with better security and robustness. This can be realized owing to the fact that, not only the sparse domain can be customized from the given samples, but also the sparse transform coefficients of the original watermarking signal can be embedded, which provides inherent privacy. This paper provides two kinds of methods that embed watermark directly and embed the sparse representation coefficients of watermarking logo, and analyzes the condition of uniqueness of the sparse solution. Experimental results demonstrate the superiority of the proposed sparse domain digital watermarking technique over the traditional frequency domain or spatial domain schemes.
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Babić, Rade, Zoran Milošević, and Gordana Babić. "Web Technology in Health Information System." Acta Facultatis Medicae Naissensis 29, no. 2 (January 1, 2012): 81–87. http://dx.doi.org/10.2478/v10283-012-0011-9.
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Web Technology in Health Information System The paper gives a concise review of the implementation of the web-based systems in teleradiology, radiological information system, hospital information system and in other modern medical information systems. The paper presents PACS (Picture Archiving and Communication System) and DICOM (Digital Imaging and Communications in Medicine) that have been domesticated in the vocabulary of radiological terminology and beyond. It points to the basic characteristics and objectives of PACS systems and DICOM standards, accentuating the needs for appliance of methods for digital signal processing and machine intelligence. It is concluded that assotiated medicine and information technologies lead to the progress of the mankind.
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Kumkov, S. I. "Interval Analysis Methods in Lecture Course of Digital Procession of Information." IFAC Proceedings Volumes 45, no. 11 (2012): 60–65. http://dx.doi.org/10.3182/20120619-3-ru-2024.00038.
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Самаров, Е. К. "Synthesis of Mathematical Models and Methods for Software Realization on Graphics Processing Devices of Algorithms for Digital Video Information Processing Received from on-Board Camera Systems of Aircrafts." Informacionno-technologicheskij vestnik, no. 3(25) (September 17, 2020): 124–33. http://dx.doi.org/10.21499/2409-1650-2020-25-3-124-133.
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Статья посвящена синтезу математических моделей и способов программной реализации на графических процессорных устройствах алгоритмов цифровой обработки по стандартам JPEG, JPEG2000 и DNG видеоинформации, поступающей от бортовых съемочных систем летательных аппаратов. Разработаны и предложены схемы цифровой обработки, которые целесообразно использовать в зависимости от приоритетов, возложенных на бортовую цифровую вычислительную систему летательного аппарата задач. The article is devoted to the synthesis of mathematical models and methods of software realization on graphics processing devices of algorithms for digital video information processing received from on-board camera systems of aircraft by JPEG, JPEG2000 and DNG standards. In this paper, we have developed and proposed schemes for digital processing, which is advisable to apply depending on the priorities assigned to the on-board digital computing system of the aircraft tasks.
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Urnyaev, Dmitriy, and Evgenij Gritskevich. "CORRECTION OF SIGNAL DISTORTIONS IN TECHNICAL SYSTEMS OF INFORMATION TYPE." Interexpo GEO-Siberia 6, no. 2 (2019): 66–71. http://dx.doi.org/10.33764/2618-981x-2019-6-2-66-71.
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The work is devoted to study of digital signal processing methods and building a model for processes of forming, distorting and restoring of signals. The considered model is of generalized nature and is intended for use in educational process when studying methods of computer modeling of processes and systems. In addition, the model can be used as a visual aid in the study of signals and methods for their conversion.
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Tynyshova, T. D., and Y. Kh Ismanov. "INCREASING OF HOLOGRAPHIC INTERFEROMETER SENSITIVITY BY DIGITAL METHODS." Herald of KSUCTA, №2, Part 1, 2022, no. 2-1-2022 (April 30, 2022): 510–16. http://dx.doi.org/10.35803/1694-5298.2022.2.510-516.
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The development of methods for increasing the sensitivity of interferometers intended for studying complex phase media, which are characterized by abrupt changes in internal inhomogeneities, is a very urgent task. The aim of the study, the results of which are presented in the article, is a theoretical analysis of the possibility of improving the sensitivity of the output data of a holographic interferometer using digital methods of processing optical information. The research results showed that the presence of digital information about the object and reference waves and about the interference pattern recorded by the CCD matrix allows performing various mathematical operations on these data, after which they can again be displayed on the screen, i.e., visualized. These operations can be carried out both in the sections from the object to the output plane, and at the output of the system, directly with the intensity distribution, which is fixed by the CCD matrix. A sequence of numerical operations is proposed, which makes it possible to increase the sensitivity of the holographic system by a factor of 2m , where m 0,1, 2, 3,.... It is also shown that the increase in sensitivity according to the indicated scheme is limited only by possible speckle noise, which can worsen the contrast of the fringes of the interference pattern. The proposed method for increasing the sensitivity of the interferometer, in contrast to the known ones, does not rely on hardware changes in interferometric systems, which is associated with high costs, but digitally improves the characteristics of the output data of low-sensitivity interferometers. The results of the work can be used in studies of complex phase media.
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Pupeikis, Darius, Lina Morkūnaitė, Mindaugas Daukšys, Arūnas Aleksandras Navickas, and Svajūnas Abromas. "Possibilities of Using Building Information Model Data in Reinforcement Processing Plant." Journal of Sustainable Architecture and Civil Engineering 28, no. 1 (June 22, 2021): 80–93. http://dx.doi.org/10.5755/j01.sace.28.1.27593.
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While the AEC industry is moving towards digitalization off-site rebar prefabrication became a common practice. Now most companies use a long-established standard order processing method, where the customer submits 2D paper or PDF-based drawings. Subsequently, the manufacturers are obligated to make additional detailing, redrawing, calculations, and preparation of other required information for manufacturing. Thus, in this typical scenario, there is a great repetition of the same tasks, with the obvious loss of time and increased likelihood of human error. However, improvements can be made by the application of advanced digital production workflow and the use of open BIM standards (e.g., IFC, XML, BVBS). Therefore, this paper presents the typical data flow algorithm in contrast to the automated data flow for reinforcement manufacturing. Further, the two approaches are compared and analyzed based on Multi-Criteria Decision Making (MCDM) methods. The results have shown promising prospects for companies willing to automate their data flow processes by the use of 3D drawings and digital data from the BIM model in their plants.
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Barkovska, Olesia, Viktor Khomych, and Oleksandr Nastenko. "RESEARCH OF THE TEXT PROCESSING METHODS IN ORGANIZATION OF ELECTRONIC STORAGES OF INFORMATION OBJECTS." Innovative Technologies and Scientific Solutions for Industries, no. 1 (19) (April 26, 2022): 5–12. http://dx.doi.org/10.30837/itssi.2022.19.005.
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The subject matter of the article is electronic storage of information objects (IO) ordered by specified rules at the stage of accumulation of qualification thesis and scientific work of the contributors of the offered knowledge exchange system provided to the system in different formats (text, graphic, audio). Classified works of contributors of the system are the ground for organization of thematic rooms for discussion to spread scientific achievements, to adopt new ideas, to exchange knowledge and to look for employers or mentors in different countries. The goal of the work is to study the libraries of text processing and analysis to speed-up and increase accuracy of the scanned text documents classification in the process of serialized electronic storage of information objects organization. The following tasks are: to study the text processing methods on the basis of the proposed generalized model of the system of classification of scanned documents with the specified location of the block of text processing and analysis; to investigate the statistics of change in the execution time of the developed parallel modification of the methods of the word processing module for the system with shared memory for collections of text documents of different sizes; analyze the results. The methods used are the following: parallel digital sorting methods, methods of mathematical statistics, linguistic methods of text analysis. The following results were obtained: in the course of the research fulfillment the generalized model of the scanned documents classification system that consist of image processing unit and text processing unit that include unit of the scanned image previous processing; text detection unit; previous text processing; compiling of the frequency dictionary; text proximity detection was offered. Conclusions: the proposed parallel modification of the previous text processing unit gives acceleration up to 3,998 times. But, at a very high computational load (collection of 18144 files, about 1100 MB), the resources of an ordinary multiprocessor-based computer with the shared memory obviously is not enough to solve such problems in the mode close to real time.
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Neicu, Marian Ştefan, and George Gustav Savii. "Evaluation of Algorithms and Methods for Developing Business Information Systems Using Virtual Factory." Applied Mechanics and Materials 841 (June 2016): 367–72. http://dx.doi.org/10.4028/www.scientific.net/amm.841.367.
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The paper presents a method for assessing information systems designed for the modern business environment. Unlike systems audit or established methods of software testing, the evaluation of systems for business can be made by implementing and using them in a virtual, digital factory. This, in addition to effective verification and validation of the software, can be used to evaluate how computer applications adapt to the complete information processing flows corresponding to the core processes of a real enterprise. In this way full results of good quality can be achieved at a low cost of the evaluation process.
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Semenog, Andrii. "DIGITAL TECHNOLOGIES IN THE CONDITIONS OF DIGITAL ECONOMY FORMATION." Scientific Notes of Ostroh Academy National University, "Economics" Series 1, no. 19(47) (December 17, 2020): 20–28. http://dx.doi.org/10.25264/2311-5149-2020-19(47)-20-28.
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The article substantiates that the successful development of the digital economy is closely linked to progress in several “frontier technologies”, among which the most important are such software-oriented technologies as Blockchain, the Internet of Things (IoT), Big Data Analytics, Artificial Intelligence (AI), Cloud Computing, Artificial Intelligence (AI). It is determined that together these technologies provide new opportunities for better analysis, processing and use of digital information, which gives new opportunities for companies to improve their efficiency by offering new, more personalized products and services. In general, the article analyzes the leading technologies used in the formation of the digital economy, identifies their essence, types, and methods of practical application. The properties, potential advantages, and risks of blockchain technology are studied. The article gives examples of companies that use blockchain. They represent such areas as finance, data management, energy, government, transport, health. The main components of the Internet of Things are identified. These include means of identification, means of measurement, means of data transmission, means of data processing, performing devices. The hierarchy of the Internet of Things is also given. It consists of personal wearable devices, smart homes, and smart industry (industrial internet). The phases of the “industrial Internet” development are presented. The essence and constituent characteristics of Big Data are determined. Among them: volume, velocity, variety, value, veracity, variability, visualization. It is determined that the key sources of Big Data are information from the Internet; readings of various devices; corporate information. The competitive advantages of companies that use Big Data are given. Also, the advantages and models of using cloud technologies are described. The essence and components of artificial intelligence are determined. An example of its application in the economic activity of companies is presented.
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Carriazo Rabadán, Daniel. "Advanced digital signal processing methods for effective noise cancellation of vehicle related signals. State of the Art." Revista Doctorado UMH 3, no. 1 (January 24, 2018): 4. http://dx.doi.org/10.21134/doctumh.v3i1.1374.
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The current trend of vehicle technology’s evolution points towards a further automation of the automobile. The information that such a vehicle processes and handles becomes therefore more important from the performance but also from the safety point of view. The main target of this research is to improve the reliability, accuracy and timing of the information measured by mass produced sensors, whether the sensors are set up in single or array configuration. The scope of the considered sensors covers those related to the automotive sector, both current and potential ones. It is planned to achieve the main target by 1) actively reducing the noise to increase the SNR of the sensor measurements and/or by 2) using advanced processing methods that remove/minimize the delay they introduce in the processing system.