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Relevant bibliographies by topics / Automatic Identification and Data Collection (AIDC)

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Academic literature on the topic 'Automatic Identification and Data Collection (AIDC)'

Author: Grafiati

Published: 5 June 2025

Last updated: 16 July 2025

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

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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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Dissertations / Theses on the topic "Automatic Identification and Data Collection (AIDC)"

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Soderstrom, Tyler Andrew. "Integration of on-line data reconciliation and bias identification techniques /." Full text (PDF) from UMI/Dissertation Abstracts International, 2001. http://wwwlib.umi.com/cr/utexas/fullcit?p3008445.

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Romano, Regiane Relva. "Os impactos do uso de tecnologia da informação e da identificação e captura automática de dados nos processos operacionais do varejo." reponame:Repositório Institucional do FGV, 2011. http://hdl.handle.net/10438/8895.

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Submitted by Regiane Relva Romano (regiane@vip-systems.com.br) on 2011-12-28T12:03:36Z No. of bitstreams: 1 Tese Regiane Relva Romano - dezembro 2011-Versao Final.pdf: 4192254 bytes, checksum: 786a11620fac456f482835d77b815ce8 (MD5)<br>Rejected by Gisele Isaura Hannickel (gisele.hannickel@fgv.br), reason: Prezada Regiane, Está pendente a capa e a ficha catalográfica. Favor retirar o logotipo das primeiras folhas. Segue a sequencia: 1º capa 2º contra capa (que na sua postagem está como 1ª folha) 3º ficha catalográfica 4º folha de assinaturas 5º sequencia do trabalho..... Em caso

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Tröger, Ralph. "Supply Chain Event Management – Bedarf, Systemarchitektur und Nutzen aus Perspektive fokaler Unternehmen der Modeindustrie." Doctoral thesis, Universitätsbibliothek Leipzig, 2014. http://nbn-resolving.de/urn:nbn:de:bsz:15-qucosa-155014.

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Supply Chain Event Management (SCEM) bezeichnet eine Teildisziplin des Supply Chain Management und ist für Unternehmen ein Ansatzpunkt, durch frühzeitige Reaktion auf kritische Ausnahmeereignisse in der Wertschöpfungskette Logistikleistung und -kosten zu optimieren. Durch Rahmenbedingungen wie bspw. globale Logistikstrukturen, eine hohe Artikelvielfalt und volatile Geschäftsbeziehungen zählt die Modeindustrie zu den Branchen, die für kritische Störereignisse besonders anfällig ist. In diesem Sinne untersucht die vorliegende Dissertation nach einer Beleuchtung der wesentlichen Grundlagen zunäch

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"Extended food supply chain traceability with multiple automatic identification and data collection technologies." 2008. http://library.cuhk.edu.hk/record=b5893508.

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Hu, Yong.<br>Thesis submitted in: October 2007.<br>Thesis (M.Phil.)--Chinese University of Hong Kong, 2008.<br>Includes bibliographical references (p. 127-129).<br>Abstracts in English and Chinese.<br>Chapter Chapter 1. --- Introduction --- p.1<br>Chapter 1.1. --- Background and Motivation --- p.1<br>Chapter 1.2. --- Objectives of the Thesis --- p.3<br>Chapter 1.3. --- Scope of the Thesis --- p.6<br>Chapter 1.4. --- Structure of the Thesis --- p.6<br>Chapter Chapter 2. --- Review of Related Technologies --- p.8<br>Chapter 2.1. --- Scope and Requirements of the Supply Chain Traceability -

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Books on the topic "Automatic Identification and Data Collection (AIDC)"

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Adams, Russell E. Sourcebook of automatic identification and data collection. Van Nostrand Reinhold, 1990.

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Adams, Russ. Sourcebook of automatic identification and data collection. Van Nostrand Reinhold, 1990.

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Robert, Moran. Automatic identification systems: Growth markets--a major enabling technology for the 90s. Business Communications Co., 1994.

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Frost & Sullivan., ed. World emerging and niche-oriented automatic ID product markets: Enormous growth potential. Frost & Sullivan, 1993.

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Norbert, Bartneck, Klaas Volker, and Schoenherr Holger, eds. Optimizing processes with RFID and auto ID: Fundamentals, problems and solutions, example applications. Publicis, 2009.

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Automatic identification and data collection systems. McGraw-Hill, 1994.

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Automatic identification systems. Business Communications Co., 2000.

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American national standard for freight containers: Automatic identification. American National Standards Institute, 1990.

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Bartneck, Norbert, Volker Klaas, and Holger Schönherr. Optimizing Processes with RFID and Auto ID: Fundamentals, Problems and Solutions, Example Applications. Publicis MCD Werbeagentur GmbH, 2009.

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Tax administration: Sole proprietor identification numbers can be improved : report to the Joint Committee on Taxation, U.S. Congress. The Office, 1995.

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Book chapters on the topic "Automatic Identification and Data Collection (AIDC)"

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Rindone, Corrado. "AIS Data for Building a Transport Maritime Network: A Pilot Study in the Strait of Messina (Italy)." In Computational Science and Its Applications – ICCSA 2024 Workshops. Springer Nature Switzerland, 2024. http://dx.doi.org/10.1007/978-3-031-65329-2_14.

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AbstractThe maritime transport of goods enables economic exchanges at a global level. Containership, sea routes, port systems and relative performances (e.g. times and costs) influence the quality and quantity of these exchanges. For these reasons, it is necessary to develop quantitative methods for evaluating the main performances of maritime container services. At the same time, ICT (e.g. Automatic Identification System, AIS) enable the acquisition and collection of information and data for supporting Transport Simulation Models (TSM), useful for calculating the performances. In this context, this paper presents a method for building a supply transport network model of container maritime services. The method is based on the acquisition and elaboration of data deriving from the AIS. The supply model allows the calculation of indicators for evaluating the main performance of containership services at the international level. The proposed method is applied to developing a pilot study of maritime containership services in a portion of the Mediterranean Sea. The results of the pilot consist of the representation of a transport network obtained from the available AIS data. The obtained results show the main potentialities of the proposed method for developing TSM from the fed by the AIS data. The method and results obtained are of potential interest to public and private decision-makers and takers involved in the maritime transport sector.

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Igor, Timoshenko. "RFID in Libraries: Automatic Identification and Data Collection Technology for Library Documents." In Maintenance Management. IntechOpen, 2020. http://dx.doi.org/10.5772/intechopen.82032.

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Stefansson, Gunnar. "Intelligent Freight Transportation System." In Geographic Information Systems. IGI Global, 2013. http://dx.doi.org/10.4018/978-1-4666-2038-4.ch122.

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The purpose of this chapter is to identify the necessary components of Intelligent Freight Transportation System (IFTS) and analyze the potential effects on transport operations performances in all the three pillars of sustainability, namely the economics, environmental and social impacts. In order to achieve this objective, a literature study was conducted, looking for relevant up-to-date literature within the fields of transportation, logistics, and information and communication technology (ICT) and environmental impacts of freight transportation. In addition, two separate rounds of empirical studies were made. From literature, as well as from part of the empirical data collection, a requirement analysis was done to understand issues and problems in transport operations that can be addressed with more sophisticated information and communication systems. The second round of empirical data collection was done to identify potential solutions of the identified issues. Finally an analysis was made to understand the functionalities of possible IFTS solutions. Many effects were found that can contribute to increased performance of transport operations including automatic item identification, safety and security prevention, real-time navigation, traffic situation notification and carbon footprint registration.

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Stefansson, Gunnar. "Intelligent Freight Transportation System." In Supply Chain Innovation for Competing in Highly Dynamic Markets. IGI Global, 2012. http://dx.doi.org/10.4018/978-1-60960-585-8.ch011.

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The purpose of this chapter is to identify the necessary components of Intelligent Freight Transportation System (IFTS) and analyze the potential effects on transport operations performances in all the three pillars of sustainability, namely the economics, environmental and social impacts. In order to achieve this objective, a literature study was conducted, looking for relevant up-to-date literature within the fields of transportation, logistics, and information and communication technology (ICT) and environmental impacts of freight transportation. In addition, two separate rounds of empirical studies were made. From literature, as well as from part of the empirical data collection, a requirement analysis was done to understand issues and problems in transport operations that can be addressed with more sophisticated information and communication systems. The second round of empirical data collection was done to identify potential solutions of the identified issues. Finally an analysis was made to understand the functionalities of possible IFTS solutions. Many effects were found that can contribute to increased performance of transport operations including automatic item identification, safety and security prevention, real-time navigation, traffic situation notification and carbon footprint registration.

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Conference papers on the topic "Automatic Identification and Data Collection (AIDC)"

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Rogers, Alexander W., Amanda Lane, Philip Martin, and Dongda Zhang. "AI-Driven Automatic Mechanistic Model Transfer Learning for Accelerating Process Development." In The 35th European Symposium on Computer Aided Process Engineering. PSE Press, 2025. https://doi.org/10.69997/sct.167600.

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Accurate mechanistic models provide valuable physical insight and are crucial for efficient process scale-up and optimisation, but their identification requires lengthy experimental data collection, model construction, validation and discrimination. Traditional black-box machine learning transfer methods leverage prior knowledge but lack interpretability and physical insights. To address this, we propose a novel approach using artificial neural network feature attribution to automatically locate corrections and symbolic regression to make structural modifications to an inaccurate or low-fideli

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Jacobeus, Michel. "Automatic Identification And Data Collection Via Barcode Laser Scanning." In In Situ Industrial Applications of Optics, edited by Jean P. L. Ebbeni. SPIE, 1986. http://dx.doi.org/10.1117/12.939009.

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Fink, Christoph, Tuomo Hiippala, Henrikki Tenkanen, Matthew A. Zook, and Enrico Di Minin. "Uncovering Illegal Wildlife Trade on Social Media: Automatic Data Collection, Deep Learning Filters and Identification." In 5th European Congress of Conservation Biology. Jyvaskyla University Open Science Centre, 2018. http://dx.doi.org/10.17011/conference/eccb2018/107986.

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Fan, Xiaoting, Xu Qu, and Hongtai Yang. "Privacy Risk Assessment of Travel Trajectories in Metro AFC Data." In 2024 International Conference on Smart Transportation Interdisciplinary Studies. SAE International, 2025. https://doi.org/10.4271/2025-01-7214.

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<div class="section abstract"><div class="htmlview paragraph">The rapid expansion of metro systems in major cities worldwide has resulted in the accumulation of vast amounts of travel data through Automatic Fare Collection (AFC) systems. While this data is crucial for enhancing and optimizing transportation networks, it also raises significant concerns regarding passenger privacy due to the potential exposure of individual travel patterns. In this paper, we propose a novel privacy risk assessment model aimed at quantifying the uniqueness of travel trajectories and evaluating the as

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Marian, Ileana. "Automated testing methodologies for distributed Web systems: a machine learning-based approach to anomaly detection." In Conferința științifică națională cu participare internațională "Integrare prin cercetare și inovare", dedicată Zilei Internaționale a Științei pentru Pace și Dezvoltare. Moldova State University, 2025. https://doi.org/10.59295/spd2024n.102.

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In the era of modern technologies, distributed web systems play an important role in global IT infrastructures, providing scalability and resilience. However, verification, validation, and testing of these increasingly complex systems remain a major challenge for both specialists working in the field and researchers who want to explore this field. Due to their heterogeneous nature and dynamic interdependencies between existing system components, this important stage of system testing and validation has high complexity. In this context, the paper explores automated testing based on machine lear

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Achiche, Sofiane, and Francesco Paolo Appio. "Fuzzy Decision Support in the Early Phases of the Fuzzy Front End of Innovation in Product Development." In ASME 2010 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. ASMEDC, 2010. http://dx.doi.org/10.1115/detc2010-28211.

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The innovation process may be divided into three areas: the fuzzy front end (FFE), the new product development (NPD) process, and commercialization. Every NPD process has a FFE in which products and projects are defined. Companies tend to begin the stages of FFE without a clear definition and analysis of the process to go from opportunity identification to concepts, and often they even abort the process or start over. Koen’s Model for the FFE is composed of 5 different phases, the first two being Opportunity Identification and Opportunity Analysis, which are the focus of this paper. Furthermor

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Yu, Lei, Hao Wang, Junting Luo, and Shunhuai Chen. "Optimisation of the Main Hull Subdivision and Layout Based on Topology-Geometry Co-Characterisation." In ASME 2024 43rd International Conference on Ocean, Offshore and Arctic Engineering. American Society of Mechanical Engineers, 2024. http://dx.doi.org/10.1115/omae2024-127253.

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Abstract The subdivision and layout of a ship’s main hull is a critical aspect of ship design as it directly determines the layout of the ship’s space. To enhance design efficiency and quality, an intelligent optimization method for main hull subdivision is proposed. This method aims to reduce the traditional manual subdivision design process, which heavily relies on mother ship data, and address issues such as long design cycles and high costs. The text describes the sorting and analysis of the mutual influence relationship between ship compartments and equipment. A topological characterizati

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Imrie, Andrew. "THE APPLICATION OF PATTERN RECOGNITION AND MACHINE LEARNING TO DETERMINE CEMENT CHANNELING & BOND QUALITY FROM AZIMUTHAL CEMENT BOND LOGS." In 2021 SPWLA 62nd Annual Logging Symposium Online. Society of Petrophysicists and Well Log Analysts, 2021. http://dx.doi.org/10.30632/spwla-2021-0068.

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Cement bond log interpretation methods consist of human pattern recognition and evaluation of the quality of the downhole isolation. Typically, a log interpreter compares acquisition data to their predefined classifications of cement bond quality. This paper outlines a complementary technique of intelligent cement evaluation and the implementation of the analysis of cement evaluation data by utilizing automatic pattern matching and machine learning. The proposed method is capable of defining bond quality across multiple distinct subclassification through analysis of image data using pattern re

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Hanada, Satoshi, Koji Ito, and Kenji Mashio. "US-APWR Human System Interface System Verification and Validation Program for Digital I&C Design." In 18th International Conference on Nuclear Engineering. ASMEDC, 2010. http://dx.doi.org/10.1115/icone18-29928.

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The US-APWR, currently under Design Certification review by the U.S. Nuclear Regulatory Commission, is a four loop evolutionary pressurized water reactor with a four train active safety system applied by Mitsubishi Heavy Industries. The digital Instrumentation and Control (I&C) System and Human Systems Interface (HSI) system are to be applied to the US-APWR. This design is currently being applied to the latest Japanese PWR plant and to nuclear power plant I&C modernization program in Japan. The US-APWR digital I&C and HSI system (HSIS) utilizes computerized systems, including compu

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Reports on the topic "Automatic Identification and Data Collection (AIDC)"

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Bhurtyal, Sanjeev, Hieu Bui, Sarah Hernandez, et al. Prediction of waterborne freight activity with Automatic Identification System using machine learning. Engineer Research and Development Center (U.S.), 2025. https://doi.org/10.21079/11681/49794.

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This paper addresses latency issues related to publicly available port-level commodity tonnage reports. Predicting commodity tonnage at the port-level, near real time vessel tracking data is used with historical WCS with a machine learning model. Commodity throughput is derived from WCS data which is released publicly approximately two years after collection. This latency presents a challenge for short-term planning and other operational uses. This study leverages near real time vessel tracking data from the AIS data set. LSTM, TCN, and TFT machine learning models are developed using the featu

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Mathew, Jijo K., Christopher M. Day, Howell Li, and Darcy M. Bullock. Curating Automatic Vehicle Location Data to Compare the Performance of Outlier Filtering Methods. Purdue University, 2021. http://dx.doi.org/10.5703/1288284317435.

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Agencies use a variety of technologies and data providers to obtain travel time information. The best quality data can be obtained from second-by-second tracking of vehicles, but that data presents many challenges in terms of privacy, storage requirements and analysis. More frequently agencies collect or purchase segment travel time based upon some type of matching of vehicles between two spatially distributed points. Typical methods for that data collection involve license plate re-identification, Bluetooth, Wi-Fi, or some type of rolling DSRC identifier. One of the challenges in each of thes

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