281 resultados para RFID
Resumo:
Obtener la informacin deseada de la lista de ingredientes de un producto alimenticio no siempre es fcil. Muchas personas necesitan obtener datos muy concretos de una lista de ingredientes y en un tiempo razonable para poder decidir si ese producto es apto para su dieta. Personas con alergias, intolerancias, celacos, diabticos, vegetarianos o que sigan cualquier otro tipo de dieta o normativa como por ejemplo la normativa islmica (alimentos Halal) necesitan saber exactamente qu contiene lo que se van a comer. Adems existe el problema del idioma, algunos productos de importacin no tienen la lista de ingredientes traducida correctamente, suelen llevar una pegatina con los ingredientes en el idioma del pas y sta, cuando existe, no siempre tiene la informacin exacta. El problema del idioma se presenta tambin cuando estamos de viaje o viviendo en un pas en el que no dominamos el idioma. Y por ltimo tambin existen a menudo problemas fsicos para leer los ingredientes. En la mayora de los casos el tipo de letra es demasiado pequeo y en muchos la combinacin de colores usada hace que la lectura sea difcil. Si adems el consumidor tiene algn problema de visin la lectura de la lista de ingredientes se vuelve muy complicada o imposible. Por tanto, no siempre podemos llegar a la conclusin de si se puede o no consumir un producto por su lista de ingredientes. Para poder leer una lista de ingredientes sin importar donde nos encontremos o el idioma y el modo en que est escrita, y ser capaces de obtener toda la informacin deseada en un idioma que entendamos y todo esto en pocos segundos necesitamos un Lector de Ingredientes. El lector de ingredientes que se describe en este proyecto tiene por objeto exactamente eso, leer automticamente la lista de ingredientes de cualquier producto alimenticio y darnos la informacin deseada. Esta informacin puede simple es apto/no es apto para nuestra dieta. Esta idea nos obliga a disear una nueva manera de escribir y de leer la lista de ingredientes. Para que la lista de ingredientes pueda ser entendida por todo el mundo sta debe estar escrita en un idioma universal. Se va a crear pues una Base de Datos de Ingredientes con todos los ingredientes posibles. Estos ingredientes vendrn identificados con un cdigo y ser este cdigo el que aparezca en la nueva lista de ingredientes. De esta manera este cdigo puede ser traducido al idioma deseado en el proceso de lectura de la lista de ingredientes. El fabricante, en el momento de crear la etiqueta, deber elegir los ingredientes de la Base de Datos de Ingredientes, especificndolos lo ms posible. Para poder leer la lista de ingredientes de forma automtica necesitamos codificar la nueva lista de ingredientes (donde cada ingrediente ha sido sustituido por su cdigo universal) con alguno de los mtodos de identificacin automtica (RFID, cdigos de barras, etc.). El mtodo seleccionado ha sido QR-Code. QR-Code (Quick Response Code) es un cdigo de dos dimensiones o de matriz con alta capacidad para el almacenamiento de datos. El sistema, una vez especificada la lista de ingredientes y obtenidos los cdigos de estos ingredientes, generara el QR-Code correspondiente que ser imprimido en la etiqueta del producto. Para leer esta lista de ingredientes codificada en QR-Code se utilizar la cmara del telfono mvil. Muchos telfonos modernos ya vienen con el lector de QR-Code preinstalado. El lector de QR-Code lee el cdigo y lo decodifica, es decir nos dara la lista de ingredientes con los ingredientes codificados. Los programas del Lector de Ingredientes que tambin estaran instalados en el telfono mvil traducen, con ayuda de la Base de Datos de Ingredientes, esta lista al idioma deseado. Adems ser posible predefinir nuestra dieta para que el lector de ingredientes nos diga si el producto es apto o no para ella. La Base de Datos de Ingredientes est diseada de tal manera que cada usuario podr instalarla en su telfono en el idioma que desee. Para este proyecto se ha creado la Base de Datos de Ingredientes en ingls. La Base de Datos ha sido generada con Metakit, contiene 2885 ingredientes diferentes con sus cdigos identificativos, nombre y otras informaciones sobre las dietas ms habituales y solo ocupa 256 KB. Tambin se han desarrollado programas para el prototipo: lectura de la Lista de Ingredientes, traducir esta lista a ingls o a espaol, comprobar si es apto para las dietas vegetarianas, dieta celaca, halal y kosher. Estos programas estn escritos en Tcl y en total ocupan 24 KB. Las medidas de tiempo de ejecucin del prototipo para funciones que acceden a la BDI han dado como resultado tiempos inferiores al medio segundo. Estos datos de ocupacin de memoria y de tiempo de ejecucin demuestran la viabilidad del proyecto ya que el objetivo final es que la aplicacin est empotrada en telfonos mviles.
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O presente trabalho prope um processo para auxiliar a tarefa de implantao de controles de Cadeia Logstica Segura para a importao e exportao de cargas conteinerizadas, transportadas pelo modal rodovirio. Est em consonncia com a legislao brasileira atual, no que se refere Receita Federal do Brasil e demais rgos Anuentes. Alm disso, inclui, tambm, as novas diretrizes do Programa Brasileiro de Operador Econmico Autorizado que teve seu incio na primeira quinzena de Dezembro de 2014, bem como os aspectos principais do quadro SAFE, da Organizao Mundial das Aduanas (OMA) e do programa americano Customs-Trade Partnership Against Terrorism (C-TPAT). O processo proposto no trabalho contempla a instrumentao dos controles e seus principais pontos de integrao de dados, estgio em que grande parte dos operadores econmicos atuais se encontra. A proposta justifica-se pela complexidade dos processos de cadeias logsticas, sua importncia para o comrcio exterior e, portanto, para a economia do pas, que exigem um aperfeioamento constante para atender competitividade crescente dos mercados, controlar e gerenciar riscos e incertezas dos tempos da globalizao. A metodologia do trabalho de pesquisa constou de estudos sobre o significado de cadeia logstica segura, legislaes e normatizaes existentes, principais tecnologias utilizadas no Brasil e no mundo e suas estratgias de integrao de sistemas, com enfoque em alguns projetos de gesto j existentes no pas. O porto de Santos foi tomado como campo principal de pesquisa. O trabalho evidenciou a importncia da presena de trs caractersticas fundamentais em um processo de cadeia logstica segura: ser instrumentado, integrado e inteligente. Considera-se que, a partir do processo proposto, ser possvel aumentar o grau de inteligncia de uma cadeia logstica, de forma a gerenciar e mitigar os potenciais riscos de forma mais racional.
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The Municipality of Anchorage (MOA) is required to better manage, operate and control municipal solid waste (MSW) after the Anchorage Assembly instituted a Zero Waste Policy. Two household curbside recycling programs (CRPs), pay-as-you-throw (PAYT) and single-stream, were compared and evaluated to determine an optimal municipal solid waste diversion method for households within the MOA. The analyses find: (1) a CRP must be designed from comprehensive analysis, models and data correlation that combine demographic and psychographic variables; and (2) CRPs can be easily adjusted towards community-specific goals using technology, such as Geographic Information System (GIS) and Radio Frequency Identification (RFID). Combining resources of policy-makers, businesses, and other viable actors are necessary components to produce a sustainable, economically viable curbside recycling program.
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La seguridad alimentaria es una de las principales prioridades para la cadena de suministro de los alimentos refrigerados y congelados. Los productos deben llegar en las mejores condiciones de conservacin y en un estado ptimo al consumidor. Pero cualquier alimento, antes de llegar a la mesa, ha seguido un complejo proceso logstico que va desde el envasado del producto, su traslado de la fbrica al almacn, al distribuidor y al punto de venta utilizando en este recorrido diferentes medios de transporte; terrestres, martimos, ferroviarios, un conjunto de operaciones que forman parte de la cadena de suministro del producto. Y es aqu donde entra el proyecto Chill-On y donde cobra todo su inters. Su objetivo no es otro que aprovechar las nuevas tecnologas de la informacin como herramienta para mejorar la calidad, seguridad y transparencia de la cadena de suministro alimentaria. Las etiquetas eCHILL-ON y su integracin en el envase hacen que las actividades de investigacin se centren en los envases inteligentes. Se trata de una combinacin de etiquetas con indicadores Tiempo-Temperatura (TTI) y etiquetas de Identificacin por Radiofrecuencia (RFID), que permiten la localizacin y trazabilidad del producto en cualquiera de las diferentes etapas del proceso logstico. Lo que hace posible detectar cambios en el producto de manera inmediata y por lo tanto rectificar para que ese producto llegue en las mejores condiciones a su destino.
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Thesis (Master's)--University of Washington, 2016-06
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Challenges of returnable transport equipment (RTE) management continue to heighten as the popularity of their usage magnifies. Logistics companies are investigating the implementation of radio-frequency identification (RFID) technology to alleviate problems such as loss prevention and stock reduction. However, the research within this field is limited and fails to fully explore with depth, the wider network improvements that can be made to optimize the supply chain through efficient RTE management. This paper, investigates the nature of RTE network management building on current research and practices, filling a gap in the literature, through the investigation of a product-centric approach where the paradigms of intelligent products and autonomous objects are explored. A network optimizing approach with RTE management is explored, encouraging advanced research development of the RTE paradigm to align academic research with problematic areas in industry. Further research continues with the development of an agent-based software system, ready for application to a real-case study distribution network, producing quantitative results for further analysis. This is pivotal on the endeavor to developing agile support systems, fully utilizing an information-centric environment and encouraging RTE to be viewed as critical network optimizing tools rather than costly waste.
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As the number of using 3PL providers are increasing rapidly in recent years, 3PL providers play a major role in the logistics industry. Due to customers demands are raising and changing, it has facilitated 3PL providers to invest IT systems that could meet customer requirements and create competitive advantage. The use of IT systems could assist 3PL providers to achieve supply chain visibility and enhance supply chain collaboration with business partners. In this paper, it is mainly focus on the Europe and Far East 3PL providers in terms of current and future IT systems, IT motivators and barriers, as well as the future supply chain demands that address by IT systems. The common IT system that implemented in both regions is information technology, which is mainly used to collaborate and share information with supply chain partners. Some of the common motivations and barriers were existed and 3PL providers need to be understood. Given the future demands of IT implementation and supply chain collaboration, IT systems such as RFID and integration systems would be strongly focus in the future. The suggestion about the advanced integration system such as business process management (BPM) could be the next key IT systems in the future logistics industry. 2012 AICIT.
An agent approach to improving radio frequency identification enabled Returnable Transport Equipment
Resumo:
Returnable transport equipment (RTE) such as pallets form an integral part of the supply chain and poor management leads to costly losses. Companies often address this matter by outsourcing the management of RTE to logistics service providers (LSPs). LSPs are faced with the task to provide logistical expertise to reduce RTE related waste, whilst differentiating their own services to remain competitive. In the current challenging economic climate, the role of the LSP to deliver innovative ways to achieve competitive advantage has never been so important. It is reported that radio frequency identification (RFID) application to RTE enables LSPs such as DHL to gain competitive advantage and offer clients improvements such as loss reduction, process efficiency improvement and effective security. However, the increased visibility and functionality of RFID enabled RTE requires further investigation in regards to decisionmaking. The distributed nature of the RTE network favours a decentralised decisionmaking format. Agents are an effective way to represent objects from the bottomup, capturing the behaviour and enabling localised decisionmaking. Therefore, an agent based system is proposed to represent the RTE network and utilise the visibility and data gathered from RFID tags. Two types of agents are developed in order to represent the trucks and RTE, which have bespoke rules and algorithms in order to facilitate negotiations. The aim is to create schedules, which integrate RTE pickups as the trucks go back to the depot. The findings assert that: - agent based modelling provides an autonomous tool, which is effective in modelling RFID enabled RTE in a decentralised utilising the realtime data facility. the RFID enabled RTE model developed enables autonomous agent interaction, which leads to a feasible schedule integrating both forward and reverse flows for each RTE batch. the RTE agent scheduling algorithm developed promotes the utilisation of RTE by including an automatic return flow for each batch of RTE, whilst considering the fleet costs andutilisation rates. the research conducted contributes an agent based platform, which LSPs can use in order to assess the most appropriate strategies to implement for RTE network improvement for each of their clients.
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Current and future IT applications effecting supply chains in Europe and Pacific Asia are investigated. 3PL providers increasingly use IT systems for logistics, to enhance supply chain collaboration with business partners. Advanced systems are not always immediately profi table. Most companies already implement IT systems for processing transactions but motivations vary and barriers remain since 3PL providers incompletely understand clients' IT requirements. Long-term productivity gains require sophisticated IT systems to streamline cycles and improve supply chain visibility to facilitate, plan and make decisions. RFID and advanced integration systems, including Business Process Management, are probably the next trend in IT logistics systems. Copyright 2012 Inderscience Enterprises Ltd.
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Radio frequency identification (RFID) technology has gained increasing popularity in businesses to improve operational efficiency and maximise costs saving. However, there is a gap in the literature exploring the enhanced use of RFID to substantially add values to the supply chain operations, especially beyond what the RFID vendors could offer. This paper presents a multi-agent system, incorporating RFID technology, aimed at fulfilling the gap. The system is developed to model supply chain activities (in particular, logistics operations) and is comprised of autonomous and intelligent agents representing the key entities in the supply chain. With the advanced characteristics of RFID incorporated, the agent system examines ways logistics operations (i.e. distribution network) particular) can be efficiently reconfigured and optimised in response to dynamic changes in the market, production and at any stage in the supply chain. 2012 IEEE.
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This chapter presents Radio Frequency Identification (RFID), which is one of the Automatic Identification and Data Capture (AIDC) technologies (Wamba and Boeck, 2008) and discusses the application of RFID in E-Commerce. Firstly RFID is defined and the tag and reader components of the RFID system are explained. Then historical context of RFID is briefly discussed. Next, RFID is contrasted with other AIDC technologies, especially the use of barcodes which are commonly applied in E-Commerce. Lastly, RFID applications in E-Commerce are discussed with the focus on achievable benefits and obstacles to successful applications of RFID in E-Commerce, and ways to alleviate them.
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Radio Frequency Identification Technology (RFID) adoption in healthcare settings has the potential to reduce errors, improve patient safety, streamline operational processes and enable the sharing of information throughout supply chains. RFID adoption in the English NHS is limited to isolated pilot studies. Firstly, this study investigates the drivers and inhibitors to RFID adoption in the English NHS from the perspective of the GS1 Healthcare User Group (HUG) tasked with coordinating adoption across private and public sectors. Secondly a conceptual model has been developed and deployed, combining two of foresights most popular methods; scenario planning and technology roadmapping. The model addresses the weaknesses of each foresight technique as well as capitalizing on their individual, inherent strengths. Semi structured interviews, scenario planning workshops and a technology roadmapping exercise were conducted with the members of the HUG over an 18-month period. An action research mode of enquiry was utilized with a thematic analysis approach for the identification and discussion of the drivers and inhibitors of RFID adoption. The results of the conceptual model are analysed in comparison to other similar models. There are implications for managers responsible for RFID adoption in both the NHS and its commercial partners, and for foresight practitioners. Managers can leverage the insights gained from identifying the drivers and inhibitors to RFID adoption by making efforts to influence the removal of inhibitors and supporting the continuation of the drivers. The academic contribution of this aspect of the thesis is in the field of RFID adoption in healthcare settings. Drivers and inhibitors to RFID adoption in the English NHS are compared to those found in other settings. The implication for technology foresight practitioners is a proof of concept of a model combining scenario planning and technology roadmapping using a novel process. The academic contribution to the field of technology foresight is the conceptual development of foresight model that combines two popular techniques and then a deployment of the conceptual foresight model in a healthcare setting exploring the future of RFID technology.
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Radio Frequenzidentifikation (RFID) auf Basis pas-siver Transponder im Ultra-High-Frequenzbereich (UHF) findet in der Logistik immer hufiger Anwen-dung. Zur Ausschpfung der Potenziale dieser AutoID-Technologie wird vorausgesetzt, dass die Identifikation der Waren und Gter zuverlssig erfolgt. Dies gestaltet sich aufgrund von Umgebungseinflssen auf das elek-tromagnetische Lesefeld, das die passiven Transponder zur Identifikation mit Energie versorgt, oftmals sehr schwierig. Die Kenntnis der elektromagnetischen Feld-strkeverteilung im Raum kann somit als Grundlage fr die Bewertung der zuverlssigen Erfassung durch RFID-Installationen herangezogen werden. Das im Bei-trag vorgestellte Messkonzept mit Methodik zeigt eine Mglichkeit zur schnellen Erfassung der Lese-feldausprgung auf, um anhand der Ergebnisse die Kon-figuration dieser Systeme zu erleichtern.
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Abstract: In the mid-1990s when I worked for a telecommunications giant I struggled to gain access to basic geodemographic data. It cost hundreds of thousands of dollars at the time to simply purchase a tile of satellite imagery from Marconi, and it was often cheaper to create my own maps using a digitizer and A0 paper maps. Everything from granular administrative boundaries to right-of-ways to points of interest and geocoding capabilities were either unavailable for the places I was working in throughout Asia or very limited. The control of this data was either in a governments census and statistical bureau or was created by a handful of forward thinking corporations. Twenty years on we find ourselves inundated with data (location and other) that we are challenged to amalgamate, and much of it still dirty in nature. Open data initiatives such as ODI give us great hope for how we might be able to share information together and capitalize not only in the crowdsourcing behavior but in the implications for positive usage for the environment and for the advancement of humanity. We are already gathering and amassing a great deal of data and insight through excellent citizen science participatory projects across the globe. In early 2015, I delivered a keynote at the Data Made Me Do It conference at UC Berkeley, and in the preceding year an invited talk at the inaugural QSymposium. In gathering research for these presentations, I began to ponder on the effect that social machines (in effect, autonomous data collection subjects and objects) might have on social behaviors. I focused on studying the problem of data from various veillance perspectives, with an emphasis on the shortcomings of uberveillance which included the potential for misinformation, misinterpretation, and information manipulation when context was entirely missing. As we build advanced systems that rely almost entirely on social machines, we need to ponder on the risks associated with following a purely technocratic approach where machines devoid of intelligence may one day dictate what humans do at the fundamental praxis level. What might be the fallout of uberveillance? Bio: Dr Katina Michael is a professor in the School of Computing and Information Technology at the University of Wollongong. She presently holds the position of Associate Dean International in the Faculty of Engineering and Information Sciences. Katina is the IEEE Technology and Society Magazine editor-in-chief, and IEEE Consumer Electronics Magazine senior editor. Since 2008 she has been a board member of the Australian Privacy Foundation, and until recently was the Vice-Chair. Michael researches on the socio-ethical implications of emerging technologies with an emphasis on an all-hazards approach to national security. She has written and edited six books, guest edited numerous special issue journals on themes related to radio-frequency identification (RFID) tags, supply chain management, location-based services, innovation and surveillance/ uberveillance for Proceedings of the IEEE, Computer and IEEE Potentials. Prior to academia, Katina worked for Nortel Networks as a senior network engineer in Asia, and also in information systems for OTIS and Andersen Consulting. She holds cross-disciplinary qualifications in technology and law.
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Food safety has always been a social issue that draws great public attention. With the rapid development of wireless communication technologies and intelligent devices, more and more Internet of Things (IoT) systems are applied in the food safety tracking field. However, connection between things and information system is usually established by pre-storing information of things into RFID Tag, which is inapplicable for on-field food safety detection. Therefore, considering pesticide residue is one of the severe threaten to food safety, a new portable, high-sensitivity, low-power, on-field organophosphorus (OP) compounds detection system is proposed in this thesis to realize the on-field food safety detection. The system is designed based on optical detection method by using a customized photo-detection sensor. A Micro Controller Unit (MCU) and a Bluetooth Low Energy (BLE) module are used to quantize and transmit detection result. An Android Application (APP) is also developed for the system to processing and display detection result as well as control the detection process. Besides, a quartzose sample container and black system box are also designed and made for the system demonstration. Several optimizations are made in wireless communication, circuit layout, Android APP and industrial design to realize the mobility, low power and intelligence.