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Journal articles on the topic 'Commercial documents – Data processing'

Author: Grafiati

Published: 4 June 2021

Last updated: 3 February 2022

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1

Caetano da Silva, Paulo, Valéria Cesário Times, Ricardo Rodrigues Ciferri, and Cristina Dutra de Aguiar Ciferri. "Analytical Processing Over XML and XLink." International Journal of Data Warehousing and Mining 8, no. 1 (2012): 52–92. http://dx.doi.org/10.4018/jdwm.2012010103.

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Current commercial and academic OLAP tools do not process XML data that contains XLink. Aiming at overcoming this issue, this paper proposes an analytical system composed by LMDQL, an analytical query language. Also, the XLDM metamodel is given to model cubes of XML documents with XLink and to deal with syntactic, semantic and structural heterogeneities commonly found in XML documents. As current W3C query languages for navigating in XML documents do not support XLink, XLPath is discussed in this article to provide features for the LMDQL query processing. A prototype system enabling the analyt

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Sumida, T., K. Yamamoto, T. Shinogi, S. Tsuruoka, and H. Kawanaka. "Document Recognition and XML Generation of Tabular Form Discharge Summaries for Analogous Case Search System." Methods of Information in Medicine 46, no. 06 (2007): 700–708. http://dx.doi.org/10.1055/s-0038-1625431.

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Summary Objectives : This paper discusses and develops a document image recognition, keyword extraction and automatic XML generation system to search analogous cases from paper-based documents. In this paper, we propose the document structure recognition method and automatic XML generation method for the tabular form discharge summary documents. This paper also develops the prototype system using the proposed method. Evaluation experiments using actual documents are doneto discuss the effectiveness of the developed system. Methods : The developed system consists of the following methods. Paper

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Andreev, D. P., A. V. Kozlovich, S. S. Andreev, and I. G. Rakov. "Experience of Practical Application of the Automated Information System «Document Management of Scientific and Technical Product Deliveries»." Bulletin of the Scientific Centre for Expert Evaluation of Medicinal Products 9, no. 2 (2019): 118–22. http://dx.doi.org/10.30895/1991-2919-2019-9-2-118-122.

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The production of scientific and technical products is one of the most promising areas in terms of implementation of automation systems. The information system «Document management of scientific and technical product deliveries» is a set of unique resources that provides each of the participants with the opportunity to operate a single database of electronic documents and data in accordance with their respective access rights. The aim of the study was to assess the experience of practical application of the automated information system «Document management of scientific and technical product d

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Griol-Barres, Israel, Sergio Milla, Antonio Cebrián, Huaan Fan, and Jose Millet. "Detecting Weak Signals of the Future: A System Implementation Based on Text Mining and Natural Language Processing." Sustainability 12, no. 19 (2020): 7848. http://dx.doi.org/10.3390/su12197848.

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Organizations, companies and start-ups need to cope with constant changes on the market which are difficult to predict. Therefore, the development of new systems to detect significant future changes is vital to make correct decisions in an organization and to discover new opportunities. A system based on business intelligence techniques is proposed to detect weak signals, that are related to future transcendental changes. While most known solutions are based on the use of structured data, the proposed system quantitatively detects these signals using heterogeneous and unstructured information

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Barisits, Martin, Mikhail Borodin, Alessandro Di Girolamo, et al. "ATLAS Data Carousel." EPJ Web of Conferences 245 (2020): 04035. http://dx.doi.org/10.1051/epjconf/202024504035.

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The ATLAS experiment at CERN’s LHC stores detector and simulation data in raw and derived data formats across more than 150 Grid sites world-wide, currently in total about 200PB on disk and 250PB on tape. Data have different access characteristics due to various computational workflows, and can be accessed from different media, such as remote I/O, disk cache on hard disk drives or SSDs. Also, larger data centers provide the majority of offline storage capability via tape systems. For the HighLuminosity LHC (HL-LHC), the estimated data storage requirements are several factors bigger than the pr

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Jakušonoka, Ingrīda, and Linda Barakauska. "DEVELOPMENT AND USAGE OF SCORING SYSTEMS IN GIVING MORTGAGES BY COMMERCIAL BANKS OF LATVIA." Science and Studies of Accounting and Finance: Problems and Perspectives 10, no. 1 (2016): 55–64. http://dx.doi.org/10.15544/ssaf.2016.06.

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Competition among banks is stiff in this field (mortgage loans), where everyone wants to offer clients more favourable terms and conditions, thus gaining the largest market share. However, the credit terms and conditions can vary considerably, given the purpose of credit and the collateral. The world uses different assessment methods for a borrower’s evaluation. Particular attention is paid to the borrower's credibility and additional creditworthiness by collecting, processing and evaluating important information on the credit applicant. This research work is based on theoretical knowledge in

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Katulić, Tihomir. "Towards the Trustworthy AI." Medijska istraživanja 26, no. 2 (2021): 9–28. http://dx.doi.org/10.22572/mi.26.2.1.

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After decades of theoretical deliberations, the rapid development of advanced information technology has allowed machine learning as a first practical step towards artificial intelligence to enter widespread commercial and government use. The transition into a post-industrial, information society has revealed the value of data as an important resource whose processing is the basis of the new innovative information society services. The European Union has enacted several important regulations and directives in the recent past to protect the recognized fundamental rights of individuals and to re

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Kolokoltsev, M. A., and U. A. Mikhalyova. "Automated Information System "Distribution of the Teaching Load of the Teacher"." INFORMACIONNYE TEHNOLOGII 27, no. 3 (2021): 160–66. http://dx.doi.org/10.17587/it.27.160-166.

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This article discusses the development of an automated information system "Distribution of teaching load of the teacher" based on a relational data model. Existing modern software products for planning the teaching load of a teacher are a commercial product of universities or private organizations. They have many additional functions that are not entirely necessary for a particular university. Therefore, there is a need to create its own automated system for distributing the teaching load of a teacher, which will be easy to use and automatically generates reporting documents in exact accordanc

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Rose, Rodrigo L., Tejas G. Puranik, and Dimitri N. Mavris. "Natural Language Processing Based Method for Clustering and Analysis of Aviation Safety Narratives." Aerospace 7, no. 10 (2020): 143. http://dx.doi.org/10.3390/aerospace7100143.

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The complexity of commercial aviation operations has grown substantially in recent years, together with a diversification of techniques for collecting and analyzing flight data. As a result, data-driven frameworks for enhancing flight safety have grown in popularity. Data-driven techniques offer efficient and repeatable exploration of patterns and anomalies in large datasets. Text-based flight safety data presents a unique challenge in its subjectivity, and relies on natural language processing tools to extract underlying trends from narratives. In this paper, a methodology is presented for th

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Trivedi, Sapna, Roger Gildersleeve, Sandra Franco, Andrew S. Kanter, and Afzal Chaudhry. "Evaluation of a Concept Mapping Task Using Named Entity Recognition and Normalization in Unstructured Clinical Text." Journal of Healthcare Informatics Research 4, no. 4 (2020): 395–410. http://dx.doi.org/10.1007/s41666-020-00079-z.

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AbstractIn this pilot study, we explore the feasibility and accuracy of using a query in a commercial natural language processing engine in a named entity recognition and normalization task to extract a wide spectrum of clinical concepts from free text clinical letters. Editorial guidance developed by two independent clinicians was used to annotate sixty anonymized clinic letters to create the gold standard. Concepts were categorized by semantic type, and labels were applied to indicate contextual attributes such as negation. The natural language processing (NLP) engine was Linguamatics I2E ve

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Shokin, Yu I., and A. V. Yurchenko. "Models of organizing research data storage and usage: basic principles, processes and implementation mechanisms." Information and Control Systems, no. 3 (June 21, 2019): 45–54. http://dx.doi.org/10.31799/1684-8853-2019-3-45-54.

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Introduction: Storage and usage of research data become more sophisticated as their quantity and diversity grow. Research data have a number of features which do not allow you to copy the approaches and tools used in commercial or governmental data-processing facilities. Providing researchers with specialized tools for working with data is an urgent task in research management.Purpose: Identifying and describing the basic principles for working with research data, the processes and stages of this work, the mechanisms for implementing the principles and solving the problems of organizing the st

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Mitra, Bhaskar. "Neural methods for effective, efficient, and exposure-aware information retrieval." ACM SIGIR Forum 55, no. 1 (2021): 1–2. http://dx.doi.org/10.1145/3476415.3476434.

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Neural networks with deep architectures have demonstrated significant performance improvements in computer vision, speech recognition, and natural language processing. The challenges in information retrieval (IR), however, are different from these other application areas. A common form of IR involves ranking of documents---or short passages---in response to keyword-based queries. Effective IR systems must deal with query-document vocabulary mismatch problem, by modeling relationships between different query and document terms and how they indicate relevance. Models should also consider lexical

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Magid, S. I., I. Sh Zagredtinov, S. V. Mishcheryakov, Ye N. Arkhipova, and V. L. Samoylov. "Standardization of digital technologies of simulator systems as a method of ensuring reliability of conditions of service of power engineering facilities (part 1)." Safety and Reliability of Power Industry 12, no. 3 (2019): 177–89. http://dx.doi.org/10.24223/1999-5555-2019-12-3-177-189.

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Matters are considered of standardization of digital simulator systems for ensuring reliability of service of various power engineering facilities. Definitions are given to such terms as reliability, functioning conditions anf safety.Industry-specific reference normative documents are presented regulating requirements to technical means for training power engineering personnel. Mandatory minimum requirements and criteria are presented to simulators of operating personnel of power generation enterprises according to the rates established. Existing regulatory technical documents and regulations

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Juhás, P., T. Davis, C. L. Farrow, and S. J. L. Billinge. "PDFgetX3: a rapid and highly automatable program for processing powder diffraction data into total scattering pair distribution functions." Journal of Applied Crystallography 46, no. 2 (2013): 560–66. http://dx.doi.org/10.1107/s0021889813005190.

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PDFgetX3is a new software application for converting X-ray powder diffraction data to an atomic pair distribution function (PDF).PDFgetX3has been designed for ease of use, speed and automated operation. The software can readily process hundreds of X-ray patterns within a few seconds and is thus useful for high-throughput PDF studies that measure numerous data sets as a function of time, temperature or other environmental parameters. In comparison to the preceding programs,PDFgetX3requires fewer inputs and less user experience and it can be readily adopted by novice users. The live-plotting int

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Previtali, Mattia, and Riccardo Valente. "Archaeological documentation and data sharing: digital surveying and open data approach applied to archaeological fieldworks." Virtual Archaeology Review 10, no. 20 (2019): 17. http://dx.doi.org/10.4995/var.2019.10377.

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<p>The open data paradigm is changing the research approach in many fields such as remote sensing and the social sciences. This is supported by governmental decisions and policies that are boosting the open data wave, and in this context archaeology is also affected by this new trend. In many countries, archaeological data are still protected or only limited access is allowed. However, the strong political and economic support for the publication of government data as open data will change the accessibility and disciplinary expertise in the archaeological field too. In order to maximize

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Saadi, Abdelhalim, and Hacene Belhadef. "Deep neural networks for Arabic information extraction." Smart and Sustainable Built Environment 9, no. 4 (2020): 467–82. http://dx.doi.org/10.1108/sasbe-03-2019-0031.

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PurposeThe purpose of this paper is to present a system based on deep neural networks to extract particular entities from natural language text, knowing that a massive amount of textual information is electronically available at present. Notably, a large amount of electronic text data indicates great difficulty in finding or extracting relevant information from them.Design/methodology/approachThis study presents an original system to extract Arabic-named entities by combining a deep neural network-based part-of-speech tagger and a neural network-based named entity extractor. Firstly, the syste

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Privett, G., S. George, W. Feline, and A. Ash. "AUTOMATED EXTRACTION OF SATELLITE TRAILS FROM WIDE ANGLE CCD IMAGERY." Revista Mexicana de Astronomía y Astrofísica Serie de Conferencias 51 (April 13, 2019): 150–58. http://dx.doi.org/10.22201/ia.14052059p.2019.51.26.

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The current UK’s National Space and Security Policy states that the identification of potential on-orbit collisions and warning of re-entries over UK sovereign territory is of high importance, driving requirements for indigenous Space Situational Awareness (SSA) systems capable of delivering these products. The UK’s Defence Science and Technology Laboratory (Dstl) is examining options for the creation of a distributed network of longitudinally distributed, low cost commercial–off-the-shelf electro-optical sensors to support survey work and catalogue maintenance. To effectively exploit this, a

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Shahid, Syed, and Thomas Froese. "Project management information control systems." Canadian Journal of Civil Engineering 25, no. 4 (1998): 735–54. http://dx.doi.org/10.1139/l98-012.

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Construction managers rely on ready access to a large amount of project information. The entry, processing, and flow of information are important in avoiding problems, delays, and claims on construction projects. This paper describes a study of the extent and nature of project documentation and project information flows within the construction industry. The study mapped various types of project information against the documents that typically provide the information and the construction management functions that provide and access the information. From this analysis, a computer system to suppo

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Pálinkás, J., I. A. Szabó, L. Harasztosi, F. R. Soha, S. Manó, and Z. Csernátony. "Development and characterization of a new measurement technique for monitoring changes in acceleration during hippotherapy." International Review of Applied Sciences and Engineering 4, no. 1 (2013): 21–26. http://dx.doi.org/10.1556/irase.4.2013.1.3.

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Abstract The beneficial effects of hippotherapy lie in the transmission of the horse's movements to the patient. The aim of our work was to create a measurement method for objective evaluation that can be used in natural settings without interfering with therapy. Methodology/Principal findings Our measurement system consists of three treble axis accelerometers connected to a data logger. Software was developed for data analysis and post processing. A commercial DVD recording camera was used to document the hippotherapy session. In this paper we present the results obtained in pilot measurement

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Rauter, Matthias, Andreas Kofler, Andreas Huber, and Wolfgang Fellin. "faSavageHutterFOAM 1.0: depth-integrated simulation of dense snow avalanches on natural terrain with OpenFOAM." Geoscientific Model Development 11, no. 7 (2018): 2923–39. http://dx.doi.org/10.5194/gmd-11-2923-2018.

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Abstract. Numerical models for dense snow avalanches have become central to hazard zone mapping and mitigation. Several commercial and free applications, which are used on a regular basis, implement such models. In this study we present a tool based on the open-source toolkit OpenFOAM® as an alternative to the established solutions. The proposed tool implements a depth-integrated shallow flow model in accordance with current practice. The solver combines advantages of the extensive OpenFOAM infrastructure with popular models from the avalanche community. OpenFOAM allows assembling custom physi

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PAU, L. F. "AN INTELLIGENT CAMERA FOR ACTIVE VISION." International Journal of Pattern Recognition and Artificial Intelligence 10, no. 01 (1996): 33–42. http://dx.doi.org/10.1142/s0218001496000049.

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Much research is currently going on about the processing of one or two-camera imagery, possibly combined with other sensors and actuators, in view of achieving attentive vision, i.e. processing selectively some parts of a scene possibly with another resolution. Attentive vision in turn is an element of active vision where the outcome of the image processing triggers changes in the image acquisition geometry and/or of the environment. Almost all this research is assuming classical imaging, scanning and conversion geometries, such as raster based scanning and processing of several digitized outp

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Metzger, Stefan, David Durden, Cove Sturtevant, et al. "eddy4R 0.2.0: a DevOps model for community-extensible processing and analysis of eddy-covariance data based on R, Git, Docker, and HDF5." Geoscientific Model Development 10, no. 9 (2017): 3189–206. http://dx.doi.org/10.5194/gmd-10-3189-2017.

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Abstract. Large differences in instrumentation, site setup, data format, and operating system stymie the adoption of a universal computational environment for processing and analyzing eddy-covariance (EC) data. This results in limited software applicability and extensibility in addition to often substantial inconsistencies in flux estimates. Addressing these concerns, this paper presents the systematic development of portable, reproducible, and extensible EC software achieved by adopting a development and systems operation (DevOps) approach. This software development model is used for the crea

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Balsi, Marco, Monica Moroni, Valter Chiarabini, and Giovanni Tanda. "High-Resolution Aerial Detection of Marine Plastic Litter by Hyperspectral Sensing." Remote Sensing 13, no. 8 (2021): 1557. http://dx.doi.org/10.3390/rs13081557.

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An automatic custom-made procedure is developed to identify macroplastic debris loads in coastal and marine environment, through hyperspectral imaging from unmanned aerial vehicles (UAVs). Results obtained during a remote-sensing field campaign carried out in the seashore of Sassari (Sardinia, Italy) are presented. A push-broom-sensor-based spectral device, carried onboard a DJI Matrice 600 drone, was employed for the acquisition of spectral data in the range 900−1700 nm. The hyperspectral platform was realized by assembling commercial devices, whereas algorithms for mosaicking, post-flight ge

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Sholle, Evan T., Laura C. Pinheiro, Prakash Adekkanattu, et al. "Underserved populations with missing race ethnicity data differ significantly from those with structured race/ethnicity documentation." Journal of the American Medical Informatics Association 26, no. 8-9 (2019): 722–29. http://dx.doi.org/10.1093/jamia/ocz040.

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Abstract Objective We aimed to address deficiencies in structured electronic health record (EHR) data for race and ethnicity by identifying black and Hispanic patients from unstructured clinical notes and assessing differences between patients with or without structured race/ethnicity data. Materials and Methods Using EHR notes for 16 665 patients with encounters at a primary care practice, we developed rule-based natural language processing (NLP) algorithms to classify patients as black/Hispanic. We evaluated performance of the method against an annotated gold standard, compared race and ethn

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Wahyudin, Dian. "PERLAKUAN PAJAK PERTAMBAHAN NILAI (PPN) ATAS DEBIT NOTE EKSPOR JASA KENA PAJAK." Transparansi : Jurnal Ilmiah Ilmu Administrasi 7, no. 2 (2019): 171–84. http://dx.doi.org/10.31334/trans.v7i2.46.

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This study was conducted to determine about the debit notes is a taxable and tariffs 10% ( ten percent ) on export of taxable service if it is reviewed by taxable supplies, and to determine the treatment of VAT on Debit Note reviewed by the concept of destination principle and to determine whether it is acceptable in tax regulation of Indonesia if It’s issued a Debit Note for collecting of company income and to estimate how much penalties arise. This study used qualitative methods with qualitative descriptive analysis. The object of research is based on data available at the company that is se

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Doludin, Y. V., A. L. Borisova, M. S. Pokrovskaya, et al. "CURRENT BEST PRACTICES AND BIOBANKING RECOMMENDATIONS." Russian Clinical Laboratory Diagnostics 64, no. 12 (2019): 769–76. http://dx.doi.org/10.18821/0869-2084-2019-64-12-769-776.

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The biobank is a structure established with the goal of long-term responsible storage of biological samples and the associated data for their further use in scientific and clinical research. The objectives of biobanking are the creation of unified recommendations on: the planning of premises and the selection of equipment for storage; development of management methods and staff training; standardization of methods for the collection, shipping, processing and storage of biomaterial of various origins, as well as methods for quality control and validation of the applied methods; creation and use

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Anatolievna Ignatjeva, Olga, and Alexander Vladislavovich Pletnev. "DEVELOPMENT OF SOCIAL ENTREPRENEURSHIP IN THE INFORMATION SOCIETY ON THE EXAMPLE OF SAINT-PETERSBURG." Humanities & Social Sciences Reviews 8, no. 4 (2020): 972–83. http://dx.doi.org/10.18510/hssr.2020.8494.

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Purpose of the study: Identification of the prospects for the social entrepreneurship expansion in the sphere of social-oriented not-for-profit organizations using the example of St. Petersburg. The object of study: social-oriented not-for-profit organizations. The subject of research: social entrepreneurship in the field of social not-for-profit organizations. The scientists and practitioner can use these findings for the development of this activity type. Methodology: The research methods used in this study are survey, qualitative analysis of documents and ground theory. We use the aut

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Barazzetti, L., D. Mezzino, and M. Santana Quintero. "DIGITAL WORKFLOW FOR THE CONSERVATION OF BAHRAIN BUILT HERITAGE: THE SHEIK ISA BIN ALI HOUSE." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLII-2/W5 (August 18, 2017): 65–70. http://dx.doi.org/10.5194/isprs-archives-xlii-2-w5-65-2017.

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Currently, the commercial market offers several tools for digital documentation of historic sites and buildings. Photogrammetry and laser scanning play a fundamental role in the acquisition of metric information, which is then processed to generate reliable records particularly useful also in the built heritage conservation field. Although potentially very fast and accurate, such techniques require expert operators to produce reliable results, especially in the case of complex and large sites.<br><br> The aim of this paper is to present the digital workflow developed for data acqui

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Quaglia, Giulia, Valeria Ambrogi, Donatella Pietrella, Morena Nocchetti, and Loredana Latterini. "Solid State Photoreduction of Silver on Mesoporous Silica to Enhance Antifungal Activity." Nanomaterials 11, no. 9 (2021): 2340. http://dx.doi.org/10.3390/nano11092340.

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A solid-state Ultraviolet-photoreduction process of silver cations to produce Ag0 nanostructures on a mesoporous silica is presented as an innovative method for the preparation of efficient environmental anti-fouling agents. Mesoporous silica powder, contacted with AgNO3, is irradiated at 366 nm, where silica surface defects absorb. The detailed characterization of the materials enables us to document the silica assisted photo-reduction. The appearance of a Visible (Vis) band centered at 470 nm in the extinction spectra, due to the surface plasmon resonance of Ag0 nanostructures, and the morph

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Kessler, Samuel J., Funan Jiang, and R. Andrew Hurley. "The State of Automated Facial Expression Analysis (AFEA) in Evaluating Consumer Packaged Beverages." Beverages 6, no. 2 (2020): 27. http://dx.doi.org/10.3390/beverages6020027.

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In the late 1970s, analysis of facial expressions to unveil emotional states began to grow and flourish along with new technologies and software advances. Researchers have always been able to document what consumers do, but understanding how consumers feel at a specific moment in time is an important part of the product development puzzle. Because of this, biometric testing methods have been used in numerous studies, as researchers have worked to develop a more comprehensive understanding of consumers. Despite the many articles on automated facial expression analysis (AFEA), literature is limi

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Comber, Sam. "Demonstrating the utility of machine learning innovations in address matching to spatial socio-economic applications." REGION 6, no. 3 (2020): 17–37. http://dx.doi.org/10.18335/region.v6i3.276.

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   The last decade has heralded an unprecedented rise in the number, frequency and availability of data sources. Yet they are often incomplete, meaning data fusion is required to enhance their quality and scope. In the context of spatial analysis, address matching is critical to enhancing household socio-economic and demographic characteristics. Matching administrative, commercial, or lifestyle data sources to items such as household surveys has the potential benefits of improving data quality, enabling spatial data visualisation, and the lowering of respondent burden in hous

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Podolskaya, E. E., E. V. Bondarenko, and S. A. Sviridova. "Standardization of Test Methods for Commercial Fruit Processing Machines." Machinery and Equipment for Rural Area, no. 8 (August 30, 2021): 27–29. http://dx.doi.org/10.33267/2072-9642-2021-8-27-29.

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The concept and significance of commercial processing of fruits, as well as the presence and condition of regulatory documents containing requirements for machines for commercial processing of fruits during testing are discussed. The main provisions of the new standard and prepared up-to-date software designed to improve the accuracy of measurements and reduce labor intensity, accelerated processing and analysis of test results in accordance with the new standard are presented.

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Sen, Tara Devi, and Tanuja Thakur. "Some Ethnomedicinal Plants of Western Himalayas Useful in Making Local Alcoholic Drinks." Journal of Scientific Research in Medical and Biological Sciences 2, no. 3 (2021): 75–103. http://dx.doi.org/10.47631/jsrmbs.v2i3.309.

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Purpose: The study aims to document use value analysis of some ethnomedicinal plants in LADs preparation. Subject & Methods: Field data was collected through semi-structured interviews from knowledgeable people. The relative importance of each LADs & plant species useful in making of LADs was assessed by calculating a general Use Value Index (UV general), a current UV (UV current) and a past UV (UV past).Status of cultivation, occurrence and DMR score was also assessed to show additional uses of plants besides their use in LADs preparation. Results: Fifty-four plant (H=23, Sh=11, T= 20

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Mapes, Kerry L., Narcisa G. Pricope, J. Britton Baxley, Lauren E. Schaale, and Raymond M. Danner. "Thermal Imaging of Beach-Nesting Bird Habitat with Unmanned Aerial Vehicles: Considerations for Reducing Disturbance and Enhanced Image Accuracy." Drones 4, no. 2 (2020): 12. http://dx.doi.org/10.3390/drones4020012.

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Knowledge of temperature variation within and across beach-nesting bird habitat, and how such variation may affect the nesting success and survival of these species, is currently lacking. This type of data is furthermore needed to refine predictions of population changes due to climate change, identify important breeding habitat, and guide habitat restoration efforts. Thermal imagery collected with unmanned aerial vehicles (UAVs) provides a potential approach to fill current knowledge gaps and accomplish these goals. Our research outlines a novel methodology for collecting and implementing act

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Zhou, Yilu, and Yuan Xue. "ACRank: a multi-evidence text-mining model for alliance discovery from news articles." Information Technology & People 33, no. 5 (2020): 1357–80. http://dx.doi.org/10.1108/itp-06-2018-0272.

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PurposeStrategic alliances among organizations are some of the central drivers of innovation and economic growth. However, the discovery of alliances has relied on pure manual search and has limited scope. This paper proposes a text-mining framework, ACRank, that automatically extracts alliances from news articles. ACRank aims to provide human analysts with a higher coverage of strategic alliances compared to existing databases, yet maintain a reasonable extraction precision. It has the potential to discover alliances involving less well-known companies, a situation often neglected by commerci

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Gautier, Quentin Kevin, Thomas G. Garrison, Ferrill Rushton, et al. "Low-cost 3D scanning systems for cultural heritage documentation." Journal of Cultural Heritage Management and Sustainable Development 10, no. 4 (2020): 437–55. http://dx.doi.org/10.1108/jchmsd-03-2020-0032.

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PurposeDigital documentation techniques of tunneling excavations at archaeological sites are becoming more common. These methods, such as photogrammetry and LiDAR (Light Detection and Ranging), are able to create precise three-dimensional models of excavations to complement traditional forms of documentation with millimeter to centimeter accuracy. However, these techniques require either expensive pieces of equipment or a long processing time that can be prohibitive during short field seasons in remote areas. This article aims to determine the effectiveness of various low-cost sensors and real

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Pethybridge, Sarah J., Frank S. Hay, Adrienne Gorny, and Julie R. Kikkert. "Spatiotemporal Attributes and Crop Loss Associated with Tan Spot Epidemics in Baby Lima Bean in New York." Plant Disease 102, no. 2 (2018): 405–12. http://dx.doi.org/10.1094/pdis-07-17-1096-re.

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Tan spot, caused by the pycnidial fungi Didymella americana and Boeremia exigua var. exigua, is a foliar disease affecting processing baby lima bean production in New York. Tan spot epidemics are prevalent, occur annually, and may result in substantial defoliation. The disease is controlled by the prophylactic application of fungicides to maximize green leaf area. Information on yield losses due to tan spot on baby lima bean yield and the benefits of fungicide applications is needed to justify investments in disease management. Four small-plot, replicated trials were conducted over 2 years in

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GENG, Xi, Li TIAN та Xin GUAN. "“互聯網+”時代患者隱私保護的倫理思考及對策". International Journal of Chinese & Comparative Philosophy of Medicine 14, № 1 (2016): 107–21. http://dx.doi.org/10.24112/ijccpm.141610.

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LANGUAGE NOTE | Document text in Chinese; abstract also in English.本文分析“互聯網+”時代患者隱私保護所面臨的新威脅，對傳統的隱私保護技術、體制制度以及規範的有效性進行反思，尋求新技術應用與患者隱私保護的結合點。作者認為，對患者隱私的保護，不應該成為新技術應用的障礙，而是將二者有機地結合起來，形成良好的互動。文章就在信息時代提高信息意識、管理、技術三個層面提出具體的保護建議。“Information technology” refers to automated systems for storing, processing, and distributing information. In medical practice, this involves the use of computers and communication networks to collect and store medical information and data. Ethical guidelines for data protection and privacy have become critical issues in medical ethics in the age of the Internet and informa

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Diaconita, Vlad. "Processing unstructured documents and social media using Big Data techniques." Economic Research-Ekonomska Istraživanja 28, no. 1 (2015): 981–93. http://dx.doi.org/10.1080/1331677x.2015.1095110.

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Borodkin, Artem, Evgeny Lisin, and Wadim Strielkowski. "Data algorithms for processing and analysis of unstructured text documents." Applied Mathematical Sciences 8 (2014): 1213–22. http://dx.doi.org/10.12988/ams.2014.4125.

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Tekleyohannes, Menbere Kina, Vladimir Rybalkin, Muhammad Mohsin Ghaffar, Javier Alejandro Varela, Norbert Wehn, and Andreas Dengel. "iDocChip: A Configurable Hardware Architecture for Historical Document Image Processing." International Journal of Parallel Programming 49, no. 2 (2021): 253–84. http://dx.doi.org/10.1007/s10766-020-00690-y.

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AbstractIn recent years, $$\hbox {optical character recognition (OCR)}$$ optical character recognition (OCR) systems have been used to digitally preserve historical archives. To transcribe historical archives into a machine-readable form, first, the documents are scanned, then an $$\hbox {OCR}$$ OCR is applied. In order to digitize documents without the need to remove them from where they are archived, it is valuable to have a portable device that combines scanning and $$\hbox {OCR}$$ OCR capabilities. Nowadays, there exist many commercial and open-source document digitization techniques, whic

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Wieczorkowski, Jędrzej, and Przemysław Polak. "Big data and privacy: The study of privacy invasion acceptance in the world of big data." Online Journal of Applied Knowledge Management 5, no. 1 (2017): 57–71. http://dx.doi.org/10.36965/ojakm.2017.5(1)57-71.

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The phenomenon of big data includes technological (new opportunities), business (application), and social aspect. The social aspect applies to the social consequences of the use of big data methods, in particular, those related to the processing of personal and other private data , as well as the danger of privacy violation. In the context of the big data phenomenon, this study presents the results of a survey on the level of acceptance of privacy violation resulting from mass data processing. The different objectives of processing were taken into account, including general, social and commerc

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Puri, Shalini, and Satya Prakash Singh. "Advanced Applications on Bilingual Document Analysis and Processing Systems." International Journal of Applied Metaheuristic Computing 11, no. 4 (2020): 149–93. http://dx.doi.org/10.4018/ijamc.2020100108.

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Today, rapid digitization requires efficient bilingual non-image and image document classification systems. Although many bilingual NLP and image-based systems provide solutions for real-world problems, they primarily focus on text extraction, identification, and recognition tasks with limited document types. This article discusses a journey of these systems and provides an overview of their methods, feature extraction techniques, document sets, classifiers, and accuracy for English-Hindi and other language pairs. The gaps found lead toward the idea of a generic and integrated bilingual Englis

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Saitgareev, Rustem Damirovich, Bulat Rifatovich Giniatullin, Vladislav Yurievich Toporov, Artur Aleksandrovich Atnagulov, and Farid Radikovich Aglyamov. "Data Extraction from Similarly Structured Scanned Documents." Russian Digital Libraries Journal 24, no. 4 (2021): 667–88. http://dx.doi.org/10.26907/1562-5419-2021-24-4-667-688.

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Currently, the major part of transmitted and stored data is unstructured, and the amount of unstructured data is growing rapidly each year, although it is hardly searchable, unqueryable, and its processing is not automated. At the same time, there is a growth of electronic document management systems. This paper proposes a solution for extracting data from paper documents considering their structure and layout based on document photos. By examining different approaches, including neural networks and plain algorithmic methods, we present their results and discuss them.

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Mo, Yi Min, Xin Shun Tong, and Li Hua Yang. "Data Mining Technology Applications in Tobacco Commercial Enterprise." Advanced Materials Research 461 (February 2012): 418–20. http://dx.doi.org/10.4028/www.scientific.net/amr.461.418.

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The wide application of information technology has greatly improve the work efficiency but also caused a large and complex data accumulation. How to get the valuable information from vast amounts of data are the key issues in data processing. This paper studied the application of data mining technology in tobacco commercial enterprise from three aspects: market demand forecasting, customer relationship management and historical data processing. Analysis of how to use data mining technology to make full use of large amounts of data to provide a basis for tobacco commercial enterprise’s decision

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WIĘCŁAWSKA, Edyta. "CAPITALISING ON TRANSLATION MARKET DATA IN THE FIELD OF COMMERCIAL LAW." Comparative Legilinguistics 33 (February 7, 2019): 89–115. http://dx.doi.org/10.14746/cl.2018.33.4.

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The author presents data gathered in an online survey questionnaire (https://www.interankiety.pl/i/RGmj5rDv) which is a part of a broader research project related to the quality of translation of English language documents in the field of commercial law that are processed in the judicial registration proceedings in reference to the entities subject to registration at the Register of Entrepreneurs of the National Court Register (RP, KRS). The questions and hypotheses posed by the author relate to the relationship or comparison of nation-wide data concerning cases with foreign element in the con

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Needle, Justin. "Automatic link creation within Legal Documents." Legal Information Management 2, no. 1 (2002): 26–29. http://dx.doi.org/10.1017/s1472669600000979.

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Many organisations, be they publishers or other information rich enterprises, are in possession of large volumes of data to which they are looking to add value in various ways. The motivation behind this might be purely commercial (a desire to publish revenue-generating material, for example) or, if the data is not intended for external consumption, an attempt to facilitate and improve the flow ofinformation within an organisation.

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Juliana, Tri Sukardi. "Word Processor and Word Processing Role for Online Business." International Research Journal of Management, IT & Social Sciences 2, no. 7 (2015): 5. http://dx.doi.org/10.21744/irjmis.v2i7.68.

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This article was intended to describe the role of word processor and word processing for business. Word processor is software specifically designed to process the data. With the word processor, it's very easy for people to do the work or making important documents. Word processor to function in the world of education, government, medicine and others. The human need for data generation is so important. This is evident from the number of people using Microsoft Word or a word processor to create documents. Even these days almost all people in desperate need of data processing applications, becaus

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Wang, Qi, Lei Wang, and Yong Xian Liu. "Research on Data Processing in Network Supported Collaborative Design." Applied Mechanics and Materials 16-19 (October 2009): 1355–59. http://dx.doi.org/10.4028/www.scientific.net/amm.16-19.1355.

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In the course of network supported collaborative design, the data processing plays a very vital role. Much effort has been conducted in this area and many kinds of approaches have been proposed. Based on the correlative materials, this paper presents XML –based strategy for several important problems of data processing, such as the representation of STEP with XML in the product information expression and the management of XML documents using relation database. Finally the structure of data processing system based on XML is presented.

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KODAMA, KOICHI, KOHEI SUENAGA, and NAOKI KOBAYASHI. "Translation of tree-processing programs into stream-processing programs based on ordered linear type." Journal of Functional Programming 18, no. 3 (2008): 333–71. http://dx.doi.org/10.1017/s0956796807006570.

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AbstractThere are two ways to write a program for manipulating tree-structured data such as XML documents: One is to write a tree-processing program focusing on the logical structure of the data and the other is to write a stream-processing program focusing on the physical structure. While tree-processing programs are easier to write than stream-processing programs, tree-processing programs are less efficient in memory usage since they use trees as intermediate data. Our aim is to establish a method for automatically translating a tree-processing program to a stream-processing one in order to

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