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Journal articles on the topic 'Automatic Identification and Data Collection (AIDC)'

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1

Madleňáková, Lucia, and Anna Paďourová. "THE IMPLEMENTATION OF AUTOMATIC IDENTIFICATION IN THE DISTRIBUTION PROCESS." Pošta, Telekomunikácie a Elektronický obchod 15, no. 1 (2020): 59–64. http://dx.doi.org/10.26552/pte.c.2020.1.9.

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Information is an important competitive tool, nowadays. Those, who dispose of them on time, gain the advantage of being able to take decisions sooner than competition. The recency and relevance of information is becoming a necessity also in the field of logistics chain management, especially the 100% traceability of the movement of shipments or goods is crucial not only for the distribution service provider but also for the customer who wants to know where his shipment or goods is. As “Industry 4.0” trends suggest, these requirements are increasingly extended to include data not only on the lo
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Olipas, Cris Norman P., and Rubelyn M. Esperon. "The Design And Development Of A Cashless Payment System With An Automatic Identification And Data Collection (AIDC) Technology." International Journal of Scientific and Technology Research 9, no. 3 (2020): 6718–23. https://doi.org/10.5281/zenodo.7817479.

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This study aims to design and develop a Cashless Payment System with Automatic Identification and Data Collection (AIDC) technology in an educational institution in the Province of Nueva Ecija, Philippines to understand the processes and activities undertaken to develop the project. It utilizes a descriptive and developmental method of research involving parents and students as the respondents using purposive sampling method. The system was developed following the stages of the Incremental Model of software development and was assessed based from the International Organization for Standardizat
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Ghouat, Mohammed, Mariam Benhadou, Basma Benhadou, and Abdellah Haddout. "Assessment of the Potential Impact of Industry 4.0 Technologies on the Levers of Lean Manufacturing in Manufacturing Industries in Morocco." International Journal of Emerging Technology and Advanced Engineering 12, no. 7 (2022): 78–85. http://dx.doi.org/10.46338/ijetae0722_08.

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To increase their productivity, industrial companies are investing in the implementation of the Lean Manufacturing (LM) approach. Based on an analysis of the value chain, the approach reduces waste between the different production processes. The scope of this concept remains limited because it is based on static data. The technologies of the industry 4.0 concept allow the collection of data in real time. In this article, we present the results of a study conducted among companies in the automotive industry based in Morocco, in order to assess the level of deployment of the technologies of the
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Fortuna, Guilherme, and Pedro Dinis Gaspar. "Implementation of Industrial Traceability Systems: A Case Study of a Luxury Metal Pieces Manufacturing Company." Processes 10, no. 11 (2022): 2444. http://dx.doi.org/10.3390/pr10112444.

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Technological advances have shown an accentuated growth trend, which is directly proportional to the quality of life in today’s society. As a result, the business market is becoming increasingly competitive and customers are becoming more demanding, forcing companies to look for new tools and adopt new work methodologies to improve their flexibility, effectiveness and efficiency, ensuring a better response to market needs. In this context, the tools for tracking objects, totally or partially automatic, are considered essential technologies to all kinds of analysis and the treatment of business
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Raj, Capt Yeshwanth. "Man Overboard Monitoring system in Automatic Identification and Data Capture (AIDC)." Indian Journal of Public Health Research & Development 9, no. 3 (2018): 469. http://dx.doi.org/10.5958/0976-5506.2018.00328.5.

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Kolarovszki, Peter, and Juraj Vaculík. "Intelligent Storage System Based on Automatic Identification." Transport and Telecommunication Journal 15, no. 3 (2014): 185–95. http://dx.doi.org/10.2478/ttj-2014-0016.

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Abstract This article describes RFID technology in conjunction with warehouse management systems. Article also deals with automatic identification and data capture technologies and each processes, which are used in warehouse management system. It describes processes from entering goods into production to identification of goods and also palletizing, storing, bin transferring and removing goods from warehouse. Article focuses on utilizing AMP middleware in WMS processes in Nowadays, the identification of goods in most warehouses is carried through barcodes. In this article we want to specify, h
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Kotoula, Eleni, Kiraz Goze Akoglu, Eckart Frahm, and Stefan Simon. "QR Coded 3D Prints of Cuneiform Tablets." International Journal of Art, Culture and Design Technologies 6, no. 2 (2017): 1–11. http://dx.doi.org/10.4018/ijacdt.2017070101.

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This article discusses the design of a quick response (QR) coded 3D model of a Babylonian mathematical clay tablet for 3D printing purposes, in an attempt to make better use of advanced 3D visualizations, encourage public engagement and question the influence of tagging and 3D printing on the way humans interact with ancient documentary artefacts. The main emphasis of this article is the methodological challenge, taking under consideration both the technical constrains and object-oriented requirements, such as aesthetics and authenticity. The proposed methodology for the successful implementat
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Kolarovszki, Peter. "Research of Readability and Identification of the Items in the Postal and Logistics Environment." Transport and Telecommunication Journal 15, no. 3 (2014): 196–208. http://dx.doi.org/10.2478/ttj-2014-0017.

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Abstract This article deals with RFID technology, which is a part of automatic identification and data capture. Nowadays, the identification of parcels in postal sector is carried through barcodes. In this article we would like specify, how can be postal parcels located in postal container identified in the transmission process of postal main processing centre by UHF RFID technology. All results are verified by measurement in our AIDC laboratory, which is located at the University of Žilina. Our research contains 12 different types of orientation tags and antennas and more than 1000 tests. Our
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Aleong, Tracy, and Kit Fai Pun. "Advancing the Ultra High Frequency RFID in Industrial Applications: A Review." West Indian Journal of Engineering 44, no. 1 (2021): 40–52. http://dx.doi.org/10.47412/pwpg5760.

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Radio Frequency Identification (RFID) technology transmits data wirelessly and falls under the broad classification of Automatic Identification and Data Capture (AIDC). The advances in RFID technology continue to be accepted worldwide for various tracking and monitoring type applications. This paper reviews the principle of RFID system operation using an extensive search of relevant articles from technology management and related journals, over the past two decades. It explores 1) the RFID tags operating in the ultra-high frequency (UHF) band, 2) analyses some of the major advancements of this
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Che Jan, Nora Yanti, and Mohd Nasharuddin Muhammad. "Student Vehicle Identification Using Near Field Communication Technology." Journal of Computing Research and Innovation 3, no. 2 (2018): 48–54. http://dx.doi.org/10.24191/jcrinn.v3i2.90.

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The purpose of this project is to develop a mobile application using NFC technology in order to assist security officers of Unit Keselamatan in UiTM Perlis branch. The main objective of the developed mobile application is to detect fake and stolen student vehicle stickers. Prior the development of the mobile application, security officers have no specific technique in detecting fake and stolen student vehicle stickers. Actions were only taken once complaints are received from the victims. NFC as defined by Vasquez-Briseno, Hirata et al. (2012) is a limited range high frequency wireless communi
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Kolarovszki, Peter, Zuzana Kolarovszká, Dragan Perakovic, and Marko Periša. "Laboratory Testing of Active and Passive UHF RFID Tags." Transport and Telecommunication Journal 17, no. 2 (2016): 144–54. http://dx.doi.org/10.1515/ttj-2016-0014.

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Abstract This article deals with research of laboratory testing by active and passive UHF tags and therefore mutual coexistence of active and passive RFID technology, which is a part of automatic identification and data capture. In this article we would like to describe an identification of transport unit based on passive technology and also by active technology. We would like to specify, how this technologies can work together and in which application focuses on postal and logistics. All results are verified by measurement in our AIDC laboratory, which is located at the University of Žilina.
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Kolarovszki, Peter, Juraj Vaculík, and Libor Hofmann. "Identification of Postal Mails and Crates by New Developed UHF RFID Antenna." Transport and Telecommunication Journal 14, no. 2 (2013): 130–42. http://dx.doi.org/10.2478/ttj-2013-0011.

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This article deals with RFID technology, which is a part of automatic identification and data capture. We developed a wave propagation model and base on this, we developed a UHF RFID slim antenna. Article describes theoretical background about RFID antennas and electromagnetic waves. Consequently we are coming with the new access, that is, using the UHF RFID "Slim" antenna that eliminates disadvantage of inlays in the case if they are close or inter lap each other. The article describes scheme of identification of postal mails through UHF RFID slim antennas. Nowadays the identification of post
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Bonnet, Pierre, Antoine Affouard, Jean-Christophe Lombardo, et al. "Synergizing Digital, Biological, and Participatory Sciences for Global Plant Species Identification: Enabling access to a worldwide identification service." Biodiversity Information Science and Standards 7 (September 12, 2023): e112545. https://doi.org/10.3897/biss.7.112545.

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Human activities have a growing impact on global biodiversity. While our understanding of biodiversity worldwide is not yet comprehensive, it is crucial to explore effective means of characterizing it in order to mitigate these impacts. The advancements in data storage, exchange capabilities, and the increasing availability of extensive taxonomic, ecological, and environmental databases offer possibilities for implementing new approaches that can address knowledge gaps regarding species and habitats. This enhanced knowledge will, in turn, facilitate improved management practices and enable bet
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Inderanata, Rochmad Novian. "Investigating Student Learning Outcome using Quizziz in Engineering Students." Mobile and Forensics 4, no. 2 (2023): 127–36. http://dx.doi.org/10.12928/mf.v4i2.7018.

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Material control throughout the manufacturing and distribution process is a cycle that needs to be considered in material handling and technology identification so that the production system in the automation industry runs according to its workflow. Industrial automation in vocational learning must be provided so that students have insight related to the field of automation. Vocational learning needs to use appropriate and modern media in the era of digitalization. The purpose of this study was to determine the performance of Quizizz media for industrial automation learning outcomes. The resea
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González-Meneses, Yesenia N., and Josefina Guerrero-García. "Automatic Identification of Learning-Centered Emotions: Preliminary Study for Data Collection." Research in Computing Science 148, no. 3 (2019): 171–80. http://dx.doi.org/10.13053/rcs-148-3-14.

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Liu, Qinghai. "Research on the Development Status of Highway Electronic Toll Collection System." Academic Journal of Science and Technology 11, no. 1 (2024): 238–41. http://dx.doi.org/10.54097/fh4nvw34.

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Highway Electronic toll collection system(ETC) is the most important part of intelligent transport system. Research and analysis on the development status of ETC can provide a research basis for its future development. In this paper, three subsystems of the highway Electronic toll collection system (ETC): automatic vehicle identification, automatic vehicle classification, and audit system are studied, and by comparing the research methods of scholars in different periods of time on automatic vehicle identification, automatic vehicle model classification, and audit system, it is found that with
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Turner, Shawn M. "Advanced Techniques for Travel Time Data Collection." Transportation Research Record: Journal of the Transportation Research Board 1551, no. 1 (1996): 51–58. http://dx.doi.org/10.1177/0361198196155100107.

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Travel time information is becoming more important for applications ranging from congestion measurement to real-time travel information. Several advanced techniques for travel time data collection are discussed, including electronic distance-measuring instruments (DMIs), computerized and video license plate matching, cellular phone tracking, automatic vehicle identification (AVI), automatic vehicle location (AVL), and video imaging. The various advanced techniques are described, the necessary equipment and procedures are outlined, the applications of each technique are discussed, and the advan
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Lu, Jian John, Michael J. Rechtorik, and Shiyu Yang. "Automatic Vehicle Identification Technology Applications to Toll Collection Services." Transportation Research Record: Journal of the Transportation Research Board 1588, no. 1 (1997): 18–25. http://dx.doi.org/10.3141/1588-03.

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Intelligent transportation systems technologies are being developed and applied through transportation systems in the United States. An example of this type of innovation can be seen on toll roads where a driver is required to deposit a toll in order to drive on a toll road. To automatically process toll services, automatic vehicle identification (AVI) technologies should be developed and implemented. A summary is presented of a study that focused on the performance analysis of three types of AVI technologies that could be used for toll collection applications on the Crosstown Expressway and t
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Nguyen, Thi Thanh Nhan, Thi-Lan Le, Hai Vu, Van-Sam Hoang, and Thanh-Hai Tran. "Crowdsourcing for botanical data collection towards to automatic plant identification: A review." Computers and Electronics in Agriculture 155 (December 2018): 412–25. http://dx.doi.org/10.1016/j.compag.2018.10.042.

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20

Hellinga, Bruce, and Geoff Knapp. "Automatic Vehicle Identification Technology-Based Freeway Incident Detection." Transportation Research Record: Journal of the Transportation Research Board 1727, no. 1 (2000): 142–53. http://dx.doi.org/10.3141/1727-18.

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The recent emergence of automatic vehicle identification technology (AVI) for use in electronic toll collection has provided an opportunity to develop automatic incident detection (AID) methods that rely on individual vehicle travel time data instead of loop detector data. The performances of three AVI-based AID algorithms are examined. Travel time data for testing of the algorithms were obtained by simulating a 12-km section of the collector facility of Highway 401 in Toronto, Ontario, Canada. The performances of the three AVI-based AID algorithms are compared with the performance of a leadin
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Wu, Jianqing, Hao Xu, Bin Lv, Rui Yue, and Yang Li. "Automatic Ground Points Identification Method for Roadside LiDAR Data." Transportation Research Record: Journal of the Transportation Research Board 2673, no. 6 (2019): 140–52. http://dx.doi.org/10.1177/0361198119843869.

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Roadside light detection and ranging (LiDAR) provides a solution to fill the data gap under mixed traffic situations. The real-time high-resolution micro traffic data (HRMTD) of all road users from the roadside LiDAR sensor provides a new opportunity to serve the connected-vehicle system during the transition period from unconnected vehicles to connected vehicles. Ground surface identification is the basic data processing step for HRMTD collection. The current ground points identification algorithms based on airborne and mobile LiDAR do not work for roadside LiDAR. A novel algorithm is develop
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Huang, Juan-Chen, and Shuen-Tai Ung. "Risk Assessment and Traffic Behaviour Evaluation of Ships." Journal of Marine Science and Engineering 11, no. 12 (2023): 2297. http://dx.doi.org/10.3390/jmse11122297.

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Boyko, B. A., and V. D. Sekerin. "Role of automatic identification in the development of process approach." Izvestiya MGTU MAMI 8, no. 1-5 (2014): 18–21. http://dx.doi.org/10.17816/2074-0530-67323.

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The article discusses the use of automatic identification technologies to generate data models used in the development of the process approach. The possibility of optimizing business processes through the introduction of RFID systems providing continuous automated data collection and analysis is considered and compared with the planned results. Received information from automatic identification systems at all control points of considered business processes can be used in order to optimize and accompany the material flow at all stages of the life cycle of products and at all levels of the suppl
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Li, Zong Bao. "Application of RFID in the Intelligent Traffic System." Applied Mechanics and Materials 713-715 (January 2015): 1119–22. http://dx.doi.org/10.4028/www.scientific.net/amm.713-715.1119.

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the technology of radio frequency identification (RFID) is an automatic non-contact identification technique, which uses radio frequency signal to recognize target automatically, and access to data of relevant information, and can effectively complete the rapid identification of traffic information system. In this paper, the characteristics and basic principle of radio frequency identification technology are described, the application of RFID in intelligent traffic management system for identifying vehicle identity information, automatic peccancy disposal, non-stop electronic toll collection a
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Tripathi, Amit, Gabriel B. Dadi, Hala Nassereddine, Roy E. Sturgill, and Alexa Mitchell. "Assessing Technology Implementation Success for Highway Construction and Asset Management." Sensors 23, no. 7 (2023): 3671. http://dx.doi.org/10.3390/s23073671.

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The increasing demand for safe, reliable, and higher-quality infrastructure systems has led to more complex transportation construction and maintenance projects. This, coupled with the declining staff levels at many transportation agencies, requires a more comprehensive evaluation of technology implementation to compensate for these challenges. With a focus on effective technology implementation, this research goes beyond simply evaluating technologies to investigate technology implementation with personnel and policies at departments of transportation (DOTs). The study methodology involved a
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Mohd Shamsuddin, Afifah, Sarah Samson Juan, Stephanie Chua, and Arif Bramantoro. "Semi-Automatic Sentiment Identification for Malay-English Code-Switched Data." Journal of Advanced Research Design 123, no. 1 (2024): 198–212. https://doi.org/10.37934/ard.123.1.198212.

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Informal online communication on social media platforms like Twitter, Facebook, and YouTube often involves code-switching between languages, notably Malay and English, in Malaysia due to its diverse society. This phenomenon challenges sentiment analysis tasks, as the intermixing of languages within sentences or phrases increases the likelihood of inaccurately classified sentiment. Sentiment analysers built with models trained with monolingual data will cause misclassification due to out-of-vocabulary issues, thus limiting the efficacy of these analysers on code-switched data. Plus, obtaining a
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Bhat, Varadraj, and Prasad Pai. "Arduino Based RFID Controlled Automatic E-TOLL Collection System." International Journal of Emerging Research in Management and Technology 6, no. 8 (2018): 274. http://dx.doi.org/10.23956/ijermt.v6i8.151.

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This paper focuses on an electronic toll collection (ETC) system using radio frequency identification technology (RFID). Research on ETC was started in 1992, during which RFID tags began to be widely used in vehicles to automate toll processes. The proposed RFID system uses tags that are mounted on the windshields of vehicles, through which information embedded on the tags are read by RFID readers. This eliminates the need for motorists and toll authorities to manually perform ticket payments and toll fee collection. The Data of each vehicle crossing the toll gate is stored in the website. A L
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Basu, Shibom, Jakub W. Kaminski, Ezequiel Panepucci, et al. "Automated data collection and real-time data analysis suite for serial synchrotron crystallography." Journal of Synchrotron Radiation 26, no. 1 (2019): 244–52. http://dx.doi.org/10.1107/s1600577518016570.

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At the Swiss Light Source macromolecular crystallography (MX) beamlines the collection of serial synchrotron crystallography (SSX) diffraction data is facilitated by the recent DA+ data acquisition and analysis software developments. The SSX suite allows easy, efficient and high-throughput measurements on a large number of crystals. The fast continuous diffraction-based two-dimensional grid scan method allows initial location of microcrystals. The CY+ GUI utility enables efficient assessment of a grid scan's analysis output and subsequent collection of multiple wedges of data (so-called minise
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Lang, Frederique, Diego Chavarro, and Yuxian Liu. "Can Automatic Classification Help to Increase Accuracy in Data Collection?" Journal of Data and Information Science 1, no. 3 (2017): 42–58. http://dx.doi.org/10.20309/jdis.201619.

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AbstractPurposeThe authors aim at testing the performance of a set of machine learning algorithms that could improve the process of data cleaning when building datasets.Design/methodology/approachThe paper is centered on cleaning datasets gathered from publishers and online resources by the use of specific keywords. In this case, we analyzed data from the Web of Science. The accuracy of various forms of automatic classification was tested here in comparison with manual coding in order to determine their usefulness for data collection and cleaning. We assessed the performance of seven supervise
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Karetnikov, V., Ya Kosiak, O. Danilov, and A. Bespalov. "Modern Approach to Data Collection and Processing from Automatic Identification System for Ship Traffic Organization." Proceedings of Telecommunication Universities 8, no. 4 (2023): 48–54. http://dx.doi.org/10.31854/1813-324x-2022-8-4-48-54.

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The article is devoted to the collection and generalization of automatic identification system (AIS) data on the movement of ships, both on inland waterways and in coastal marine areas. The list of information necessary for the further carrying out of researches on the organization of movement is defined. Attention is paid to the peculiarities of obtaining data from technical means of communication and open online resources. The approach to statistical data accumulation from AIS receiver using Raspberry Pi single-board microcomputer has been offered. The application, which reads data from the
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Shi, Xianbin, and Huagang Zou. "Data Collection and Analysis based on Sensor Technology in Sports Training." Scalable Computing: Practice and Experience 25, no. 5 (2024): 4399–406. http://dx.doi.org/10.12694/scpe.v25i5.3200.

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In order to realize the automatic monitoring of physical fitness index in athletic training, a new method of automatic monitoring and identification is put forward in this paper.In this paper, a network structure model is designed to automatically monitor the physical fitness index in sports training based on IOT and WSN.THe collected a number of physical parameters in sports training, including heart rate, maximal oxygen absorption, respiration entropy, and load parameters. Then, by monitoring heart and lung function data, Cooper’s method was used to measure the maximal oxygen intake, and EQO
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Zhaxybayev, D. O. "Marking a collection of texts with the keywords – automation aspects." Bulletin of the National Engineering Academy of the Republic of Kazakhstan 83, no. 1 (2022): 30–39. http://dx.doi.org/10.47533/2020.1606-146x.137.

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This article presents and discusses the results of automatic indexing of keywords in 27 functional collections of Russian texts in three functional styles: scholarly, journalistic and fiction. The approach to the processing of markup results is presented and the data on the consistency of experts are given. Depending on the nature of the project’s problems, the design tasks provide for an automated system of document and keyword identification. The aim of this study is to identify the problems of a modified automatic text scoring system (CAPT) with keywords and to analyse in detail the results
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Delima, Rosa, Mardhani Riastiawan, and Ahmad Ashari. "Design of Automatic User Identification Framework in Crowdsourcing Requirements Engineering : User Mapping and System Architecture." CCIT Journal 16, no. 1 (2023): 54–67. http://dx.doi.org/10.33050/ccit.v16i1.2513.

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The requirement elicitation is the initial stage of requirement engineering where information collected from users. The process are significantly determined by the quality and quantity of information collected. The crowdsourcing is a method of information gathering from many users. The number and variety of users in the crowdsourcing are both advantages and challenges in the elicitation process. This study purposes a framework for user identification that consists of user mapping and architecture system. The identification process consists of 8 main states, start with defining context, user ta
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Zakharov, Victor. "Ways of Automatic Identification of Words Belonging to Semantic Field." Journal of Linguistics/Jazykovedný casopis 70, no. 2 (2019): 234–43. http://dx.doi.org/10.2478/jazcas-2019-0054.

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Abstract The paper presents results of the ongoing research on creation of the semantic field of the “empire” concept. A semantic field is a collection of content units covering a certain area of human experience and forming a relatively autonomous microsystem with one or several centers. Relations in such microsystems are also called associations. The idea is to extract from data on syntagmatic collocability a set of lexical units connected by systemic paradigmatic relations of various types and strength using distributional analysis techniques. The first goal of the study is to develop metho
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Afifi, Ahmed, Abdulaziz Alhumam, and Amira Abdelwahab. "Convolutional Neural Network for Automatic Identification of Plant Diseases with Limited Data." Plants 10, no. 1 (2020): 28. http://dx.doi.org/10.3390/plants10010028.

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Automated identification of plant diseases is very important for crop protection. Most automated approaches aim to build classification models based on leaf or fruit images. These approaches usually require the collection and annotation of many images, which is difficult and costly process especially in the case of new or rare diseases. Therefore, in this study, we developed and evaluated several methods for identifying plant diseases with little data. Convolutional Neural Networks (CNNs) are used due to their superior ability to transfer learning. Three CNN architectures (ResNet18, ResNet34,
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Fang, Qiang, Clemente Ibarra-Castanedo, and Xavier Maldague. "Automatic Defects Segmentation and Identification by Deep Learning Algorithm with Pulsed Thermography: Synthetic and Experimental Data." Big Data and Cognitive Computing 5, no. 1 (2021): 9. http://dx.doi.org/10.3390/bdcc5010009.

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In quality evaluation (QE) of the industrial production field, infrared thermography (IRT) is one of the most crucial techniques used for evaluating composite materials due to the properties of low cost, fast inspection of large surfaces, and safety. The application of deep neural networks tends to be a prominent direction in IRT Non-Destructive Testing (NDT). During the training of the neural network, the Achilles heel is the necessity of a large database. The collection of huge amounts of training data is the high expense task. In NDT with deep learning, synthetic data contributing to traini
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Alim, Anika, and Masudul H. Imtiaz. "Automatic Identification of Children with ADHD from EEG Brain Waves." Signals 4, no. 1 (2023): 193–205. http://dx.doi.org/10.3390/signals4010010.

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EEG (electroencephalogram) signals could be used reliably to extract critical information regarding ADHD (attention deficit hyperactivity disorder), a childhood neurodevelopmental disorder. The early detection of ADHD is important to lessen the development of this disorder and reduce its long-term impact. This study aimed to develop a computer algorithm to identify children with ADHD automatically from the characteristic brain waves. An EEG machine learning pipeline is presented here, including signal preprocessing and data preparation steps, with thorough explanations and rationale. A large p
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Mohan, Bandaru. "Automatic Identification of on Shelf Stock Availability in Retail Shops Using GCN." INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 08, no. 04 (2024): 1–5. http://dx.doi.org/10.55041/ijsrem30716.

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In retail industry ensuring on shelf availability is crucial for customer satisfaction. This project introduces an innovative solution for automated on shelf stock monitoring by Graph Convolution Network (GCN) fundamental algorithm as framework. This particular system will combine computer vision techniques to capture real time shelf images and employees GCN to process the visual data efficiently. Through graph based representation of store shelves and products, the GCN algorithm will analyze the items and their availability status. This project includes in data collection, image preprocessing
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Da Costa, Cesar, Rafael G. Vastag, and Milena M. De Campos. "Implementation of a RFID Technology-Based Automatic Traceability System for Industry 4.0." European Journal of Engineering Research and Science 4, no. 8 (2019): 15–18. http://dx.doi.org/10.24018/ejers.2019.4.8.1457.

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One of the main problems encountered in production processes is data acquisition on the factory floor. With the increase in production complexity, the amount of data to be collected increases. Currently, data are collected both manually and automatically. The manual collection involves documentation in a folder and storing in a separate room. However, there are other types of data that are automatically recorded into an information system. The data are registered and processed in different systems, which depend on the production stage in which the data are collected. The evolution of wireless
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Da Costa, Cesar, Rafael G. Vastag, and Milena M. De Campos. "Implementation of a RFID Technology-Based Automatic Traceability System for Industry 4.0." European Journal of Engineering and Technology Research 4, no. 8 (2019): 15–18. http://dx.doi.org/10.24018/ejeng.2019.4.8.1457.

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One of the main problems encountered in production processes is data acquisition on the factory floor. With the increase in production complexity, the amount of data to be collected increases. Currently, data are collected both manually and automatically. The manual collection involves documentation in a folder and storing in a separate room. However, there are other types of data that are automatically recorded into an information system. The data are registered and processed in different systems, which depend on the production stage in which the data are collected. The evolution of wireless
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Schermer, Maarten, Laurens Hogeweg, and Max Caspers. "Using Deep Learning in Collection Management to Reduce the Taxonomist’s Workload." Biodiversity Information Science and Standards 2 (June 15, 2018): e25917. http://dx.doi.org/10.3897/biss.2.25917.

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The completeness and quality of the information in natural history museum collections is essential to support its use, such as in collection management. Currently, the accuracy of the taxonomic information largely depends on expert provided metadata, such as species identification. At present an increase in the use of digitization techniques coincides with a dwindling of the number of taxonomic specialists, creating a growing backlog in specimen identifications. We are investigating the role of artificial intelligence for automatic species identification in supporting collection management. Wh
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Schermer, Maarten, Laurens Hogeweg, and Max Caspers. "Using Deep Learning in Collection Management to Reduce the Taxonomist's Workload." Biodiversity Information Science and Standards 2 (June 15, 2018): e25917. https://doi.org/10.3897/biss.2.25917.

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The completeness and quality of the information in natural history museum collections is essential to support its use, such as in collection management. Currently, the accuracy of the taxonomic information largely depends on expert provided metadata, such as species identification. At present an increase in the use of digitization techniques coincides with a dwindling of the number of taxonomic specialists, creating a growing backlog in specimen identifications. We are investigating the role of artificial intelligence for automatic species identification in supporting collection management. Wh
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Kushwaha, Ruchi, Rohit Shambharkar, Suyash Gupta, and Monika Malik. "Integration of Block chain Model for Energy Efficient WSN for IOT Application." International Journal for Research in Applied Science and Engineering Technology 11, no. 2 (2023): 34–37. http://dx.doi.org/10.22214/ijraset.2023.48942.

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Abstract: Wireless Sensor Networks (WSNs) play a key role in the Internet of Sensor Things (IoST).IoST helps collect data from environments and is used in energy trading, monitoring, smart grids, and more. Connect to the Internet and automate your surveillance system without third-party involvement. An IoST network consists of Sensor nodes that perform environmental monitoring. Wireless Sensor Networks (WSN) and the Internet of Things (I.o.T) have gained popularity in recent years as the underlying infrastructure for connected devices and sensors in a variety of sectors. The data generated by
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Suyatna, Nano. "Transformasi Rekonsiliasi Bank: Mengintegrasikan RFID untuk Otomasi Transaksi Kartu dalam Sistem Penerimaan Kas." Jurnal Accounting Information System (AIMS) 8, no. 1 (2025): 30–42. https://doi.org/10.32627/aims.v8i1.1348.

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This study aims to design a cash receipt system based on the integration of Radio Frequency Identification (RFID) and Electronic Data Interchange (EDI) technologies, supporting the automation of transactions and data reconciliation in the financial sector. The primary focus is on applying a Data Flow Diagram (DFD) to model the flow of data. This research adopts a system design approach using DFD to identify data flows from RFID devices, banks, and the cash receipt system. The analysis illustrates the processes of data collection, data transmission through EDI, and bank reconciliation. The DFD
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Pereira, Álvaro, Manuel Cabaleiro, Borja Conde, and Ana Sánchez-Rodríguez. "Automatic Identification and Geometrical Modeling of Steel Rivets of Historical Structures from Lidar Data." Remote Sensing 13, no. 11 (2021): 2108. http://dx.doi.org/10.3390/rs13112108.

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Riveting is a joining technique that was widely used in iron and steel structures from the mid-nineteenth to the early twentieth century. Nowadays, many of these riveted structures are still in service around the world, and in many instances, also constitute an important part of the built cultural heritage. The maintenance and conservation of this type of construction is a crucial task for which the HBIM (Historic Building Information Modeling) methodology has recently gained increased attention, postulating itself as the ideal tool for tracking control and conservation-related actions. In the
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Last, Philipp, Christian Bahlke, Martin Hering-Bertram, and Lars Linsen. "Comprehensive Analysis of Automatic Identification System (AIS) Data in Regard to Vessel Movement Prediction." Journal of Navigation 67, no. 5 (2014): 791–809. http://dx.doi.org/10.1017/s0373463314000253.

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AIS was primarily developed to exchange vessel-related data among vessels or AIS stations by using very-high frequency (VHF) technology to increase safety at sea. This study evaluates the formal integrity, availability, and the reporting intervals of AIS data with a focus on vessel movement prediction. In contrast to former studies, this study is based on a large data collection of over 85 million AIS messages, which were continuously received within a time period of two months. Thus, the evaluated data represent a comprehensive and up-to-date view of the current usage of AIS systems installed
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Lysanov, Denis Mihailovich, Irina Ilyinichna Eremina, Alexey Gennadievich Isavnin, and Izida Ildarovna Ishmuradova. "System Design of Management of Energy Resources in the Field of Housing." Journal of Computational and Theoretical Nanoscience 16, no. 12 (2019): 5205–10. http://dx.doi.org/10.1166/jctn.2019.8587.

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The main areas of work connected with improvement of the sphere of housing are development of the regulating,managing configurations of the equipment, change parameters of real-time operation, remote data collection from metering devices, adjustment of volumes of the provided utilities. It will allow to improve monitoring of functioning of a data collection system about the received utilities and to increase efficiency of identification of power losses in system. Automatic data acquisition from the metering devices of water and the electric power transferred directly to financial settlements c
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Tamsir, Afzeri. "Development of Automatic Storage Retrieval System for Variable Loads." Jurnal Sains, Teknologi dan Industri 18, no. 1 (2021): 99. http://dx.doi.org/10.24014/sitekin.v18i1.11587.

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Automated Storage and Retrieval Systems (ASRS) have been widely used in warehousing systems to speed up load movements and save storage space. ASRS is an integrated system that is equipped with a controller and arm for the collection and storage of goods. This paper discusses the results of developing a system for taking and storing goods for various loads. The prototype element consists of a mechanism for retrieving, placing and application for data collection into the database. In this research, the design and development of ASRS was carried out to be applied in the storage of products of va
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Yang, Zhen, Yongbo Yuan, Mingyuan Zhang, Xuefeng Zhao, Yang Zhang, and Boquan Tian. "Safety Distance Identification for Crane Drivers Based on Mask R-CNN." Sensors 19, no. 12 (2019): 2789. http://dx.doi.org/10.3390/s19122789.

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Tower cranes are the most commonly used large-scale equipment on construction site. Because workers can’t always pay attention to the environment at the top of the head, it is often difficult to avoid accidents when heavy objects fall. Therefore, safety construction accidents such as struck-by often occurs. In order to address crane issue, this research recorded video data by a tower crane camera, labeled the pictures, and operated image recognition with the MASK R-CNN method. Furthermore, The RGB color extraction was performed on the identified mask layer to obtain the pixel coordinates of wo
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Lestari, Uning, Sazilah Salam, Yun-Huoy Choo, Ashraf Alomoush, and Kholoud Al Qallab. "Automatic prediction of learning styles: a comprehensive analysis of classification models." Bulletin of Electrical Engineering and Informatics 13, no. 5 (2024): 3675–85. http://dx.doi.org/10.11591/eei.v13i5.7456.

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Learning styles are a topic of interest in educational research about how individuals acquire and process information in offline or online learning. Identification of learning styles in the online learning environment is challenging. The existing approaches for the identification of learning styles are limited. This study aims to review the many learning styles characterized by various classification approaches toward the automatic prediction of learning styles from learning management system (LMS) datasets. A systematic literature review (SLR) was conducted to select and analyze the most pert
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