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Bibliographies thématiques / Intelligent food systems / Thèses

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Thèses sur le sujet « Intelligent food systems »

Auteur : Grafiati

Publié le 7 juin 2025

Mis à jour le 2 août 2025

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1

Barbalho, Ingridy Marina Pierre. "Equipamento médico assistencial para monitoramento da ingestão de alimentos." Universidade Federal Rural do Semi-Árido, 2018. http://bdtd.ufersa.edu.br:80/tede/handle/tede/834.

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Submitted by Vanessa Christiane (referencia@ufersa.edu.br) on 2018-06-15T00:08:00Z No. of bitstreams: 1 IngridyMPB_DISSERT.pdf: 7607381 bytes, checksum: c08a68ab4cbff8326651716b5e44e1d8 (MD5)<br>Approved for entry into archive by Vanessa Christiane (referencia@ufersa.edu.br) on 2018-06-18T16:55:37Z (GMT) No. of bitstreams: 1 IngridyMPB_DISSERT.pdf: 7607381 bytes, checksum: c08a68ab4cbff8326651716b5e44e1d8 (MD5)<br>Approved for entry into archive by Vanessa Christiane (referencia@ufersa.edu.br) on 2018-06-18T16:56:28Z (GMT) No. of bitstreams: 1 IngridyMPB_DISSERT.pdf: 7607381 bytes, checksum: c

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Amza, Catalin Gheorghe. "Intelligent X-ray imaging inspection system for the food industry." Thesis, De Montfort University, 2002. http://hdl.handle.net/2086/10731.

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The inspection process of a product is an important stage of a modern production factory. This research presents a generic X-ray imaging inspection system with application for the detection of foreign bodies in a meat product for the food industry. The most important modules in the system are the image processing module and the high-level detection system. This research discusses the use of neural networks for image processing and fuzzy-logic for the detection of potential foreign bodies found in x-ray images of chicken breast meat after the de-boning process. The meat product is passed under

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Wong, P. C. "Flexible intelligent robot vision system for the confectionery industry." Thesis, University of Huddersfield, 1988. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.383499.

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Hesse, Max. "Reinigung 4.0 – Der Weg zur intelligenten Reinigung." Saechsische Landesbibliothek- Staats- und Universitaetsbibliothek Dresden, 2018. http://nbn-resolving.de/urn:nbn:de:bsz:14-qucosa-236429.

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In der Lebensmittelindustrie wird heutzutage noch viel zu häufig mit überdimensionierten und ineffizienten Reinigungssystemen gearbeitet. Diese sind aus Gründen der Prozesssicherheit meist am „Worst-Case-Szenario“ ausgelegt, von bedarfsgerechter bzw. adaptiver Reinigung kann also keine Rede sein. Gründe dafür liegen vor allem am Mangel an Möglichkeiten zum Inline-Reinigungsmonitoring sowie starrer/unintelligenter Reinigungssysteme. Das Fraunhofer IVV Dresden arbeitet im Themenfeld „Adaptive Reinigung“ an verschiedenen Lösungen zur Realisierung einer bedarfsgerechten Reinigung, um eine größtmög

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Mumith, Jurriath-Azmathi. "Autonomous design and optimisation of a complex energy system using a reinforcement learning intelligent agent." Thesis, Brunel University, 2016. http://bura.brunel.ac.uk/handle/2438/13661.

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Since the realisation of the computer, and shortly after the inception of artificial intelligence (AI), there has been an explosion of research solving human-level tasks using autonomous entities that are able to learn about an environment by observing and influencing it, known as intelligent agents (IA). This potent AI technique has yet to filter into the field of thermoscience, where the conceptual design and optimisation of complex energy systems has been a particularly challenging problem. Much of the design process still requires human expertise. But with the continual increase in computa

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Abarca, Tello Pedro Antonio Sebastian, and Zelada Elmer Leoncio Torres. "Factores individuales que determinan la adopción de herramientas de Business Intelligence Systems (BIS) en el mercado de las telecomunicaciones en el Perú." Bachelor's thesis, Pontificia Universidad Católica del Perú, 2021. http://hdl.handle.net/20.500.12404/20201.

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La presente tesis de investigación tiene como objetivo conocer los factores individuales que influyen en el uso y adopción de BIS por parte de los analistas de negocio en el sector de las telecomunicaciones. Para ello se tuvo como principales sujetos de estudio a los analistas de distintas áreas de organizaciones pertenecientes a este sector. Para lograr este objetivo, se empleó la metodología de Teoría Fundamentada (Grounded Theory). En primer lugar, se procedió con la construcción de un marco teórico que permitiera entender con claridad el fenómeno estudiado. Se empleó la técnica de revisión

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Aguilar, Acosta Milton Alberto, and Vara Juan Emilio Asto. "Modelo de Inteligencia de Negocios en la empresa “Contact Center JMT”." Master's thesis, Universidad Peruana de Ciencias Aplicadas (UPC), 2020. http://hdl.handle.net/10757/655779.

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La Empresa JMT Contact Center es una empresa que se dedica al rubro de Telemarketing, Centro de Contacto y Business Process Outsourcing, con presencia en los mercados de Europa y Latinoamérica. Es una empresa en constante crecimiento y en la actualidad a pesar de estar en medio de una Pandemia ha tenido el reto de enfrentar una demanda de crecimiento en los puestos de atención. En los últimos años, la empresa ha tenido que enfrentar ciertos retos financieros ligado a los costos planificados y a los costos operativos, de tal forma que su rentabilidad como negocio se ha visto impactada, suma

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Benamara, Mohamed Adel. "Suivi visuel d'objets dans un réseau de caméras intelligentes : application au systèmes de manutention automatisés." Thesis, Lyon, 2018. http://www.theses.fr/2018LYSE2136.

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L’intralogistique (ou logistique interne) s’intéresse au traitement et à l’optimisation des flux physiques au sein des entrepôts, centres de distribution et usines. Les systèmes de manutention automatisés sont au cœur de la logistique interne de plusieurs industries comme le commerce en ligne, la messagerie postale, la grande distribution, l’industrie manufacturière, le transport aéroportuaire, etc. Ces équipements composés de lignes de convoyage haute cadence permettent un transport sûr et fiable d’un volume considérable de biens et de marchandises tout en réduisant les coûts.L’automatisation

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Busacca, Fabio Antonino. "AI for Resource Allocation and Resource Allocation for AI: a two-fold paradigm at the network edge." Doctoral thesis, Università degli Studi di Palermo, 2022. https://hdl.handle.net/10447/573371.

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5G-and-beyond and Internet of Things (IoT) technologies are pushing a shift from the classic cloud-centric view of the network to a new edge-centric vision. In such a perspective, the computation, communication and storage resources are moved closer to the user, to the benefit of network responsiveness/latency, and of an improved context-awareness, that is, the ability to tailor the network services to the live user's experience. However, these improvements do not come for free: edge networks are highly constrained, and do not match the resource abundance of their cloud counterparts. In such a

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Lee, Yu-Wei, and 李昱緯. "Intelligent Food Quality Control System & Automated Process Improvement." Thesis, 2012. http://ndltd.ncl.edu.tw/handle/q4tfqx.

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碩士<br>國立東華大學<br>電機工程學系<br>100<br>This thesis focuses on the intelligent control system design and automatic process improvement of a traditional food factory. By visiting the production hardware and moving processes in their production site, we plan automated processes, production line, and standard operating procedure for them. We also implement machine learning technology to design the intelligent food quality control system, and then build the support vector regression model by production data to get the optimal production parameter suggestion. According to the experiment result, the averag

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Chen, Jun-Rui, and 陳君睿. "Image-based Food Recognition and Management System of Intelligent Refrigerator." Thesis, 2011. http://ndltd.ncl.edu.tw/handle/31991363624220968220.

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碩士<br>國立暨南國際大學<br>資訊工程學系<br>99<br>In recent years, with the development of scientific and technological progress, the research and development of home appliances is getting more attention because customers require better user experiences and additional features of home appliances than prices. In this thesis, we propose an Image-based Food Recognition and Management System of Intelligent Refrigerator. This system includes two subsystems: a food recognition and management server and a handheld device client. The food recognition and management sever has three system components which include food

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Pang, Yu-Ting, and 龎伃婷. "The Study of Intelligent Receiving System in Raw Food Materials." Thesis, 2019. http://ndltd.ncl.edu.tw/handle/mc5mc5.

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碩士<br>國立臺灣海洋大學<br>食品安全與風險管理研究所<br>107<br>The study is combined with image recognition and radio frequency identification (RFID) technique, through different ways of recognizing we can collect and analyze data about type ,weight or temperature of fresh produce and frozen foods when receiving. This system is an application of Internet of Things, based on a regular bench scale we use tensorflow as a machine learning method to collect carton images and build up a model of image recognition. Different from systems on the market, our system consists of ingredient weight and temperature measure, imag

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Chen, Shih-Hong, and 陳世宏. "Study of Integration RFID with Intelligent Refrigerator to Build a Food Management System." Thesis, 2008. http://ndltd.ncl.edu.tw/handle/21320906500144677279.

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碩士<br>樹德科技大學<br>資訊管理研究所<br>96<br>In recent years, the number of domestic food poisoning incidences is climbing and more and more bad-quality food is manufactured by crooked makers, causing panic and uneasiness among producers, distributors, and consumers. The government tries to carry out curriculum of farm product. The curriculum vitae recorded information of products. Government supply “Taiwan Agriculture and Food Traceability System” and consumers can use it to look up product information. This system uses the 2-dimensional bar-code to store codes for tracing the product and the vitae of pr

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Kuo, Hsiao-ling, and 郭曉玲. "A Case Study of Business Intelligence Systems Applying to Food & Drink Industry." Thesis, 2003. http://ndltd.ncl.edu.tw/handle/27573341485216831335.

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碩士<br>淡江大學<br>資訊管理學系<br>91<br>Food industry faced more violent competition after join WTO. By analyzed past data, they can predict future trends of market, making the right decision-making and precise evaluation due to the developing of Business Intelligence (BI) technologies. There fore that will be improved the quality of Enterprise Strategies. This study discuss when Food & Drink Industry initialed a BI system on Customer Relationship Management (CRM), which functions or frames they need at system analyze and design procedure, and induced a business intelligent system framework for them.

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Lin, Chi-Chun, and 林啓郡. "Using Lean Innovation Methodology to Construct the Business Model for an Intelligent Health Food Consuming System." Thesis, 2014. http://ndltd.ncl.edu.tw/handle/00317769910060663630.

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碩士<br>朝陽科技大學<br>企業管理系高階產業經營碩士在職專班<br>102<br>The lifecycle of birth, aging, sickness and death is inevitable to human beings. How to live colorfully, busy with energy, and getting old with dignity? In a busy business society, business persons usually losing nutrition balance because they cannot have meal on time and have a lot of social activities in the meantime. Therefore, many different preventive health-keeping ways have emerged, and taking health food daily is the most popular way among all. However, busy business persons may frequently forgot to bring the health food with them, forgot to

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Kuo, Ting-Huan, and 郭庭歡. "The Design and Implementation of an Intelligent Personalization Food Service Recommendation System Based on Semantic Sensor Web - The Case of Hypertension, Hyperglycemia, and Hyperlipemia." Thesis, 2010. http://ndltd.ncl.edu.tw/handle/19161411350855835013.

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碩士<br>國立屏東科技大學<br>資訊管理系所<br>98<br>With the change of diet habit and lifestyle in Taiwan, the quantity of chronic disease patients is becoming more and more, especially of hypertension, hyperglycemia and hyperlipemia patients. However, the Food Service Recommendation (FSR) mechanism based on user’s vital data and health records has not been investigated. In this paper, we propose the Intelligent Personalization Food Service Recommendation System (IPFSRS) which contains Vital Sensor Web Layer (VSWL), Semantic Medical Web Layer (SMWL), and Medical Service Present Layer (MSPL). The vital sensors i

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