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Adaptive cleaning for rfid data streams
, 2006
"... ABSTRACT To compensate for the inherent unreliability of RFID data streams, most RFID middleware systems employ a "smoothing filter", a sliding-window aggregate that interpolates for lost readings. In this paper, we propose SMURF, the first declarative, adaptive smoothing filter for RFID ..."
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ABSTRACT To compensate for the inherent unreliability of RFID data streams, most RFID middleware systems employ a "smoothing filter", a sliding-window aggregate that interpolates for lost readings. In this paper, we propose SMURF, the first declarative, adaptive smoothing filter for RFID data cleaning. SMURF models the unreliability of RFID readings by viewing RFID streams as a statistical sample of tags in the physical world, and exploits techniques grounded in sampling theory to drive its cleaning processes. Through the use of tools such as binomial sampling and π-estimators, SMURF continuously adapts the smoothing window size in a principled manner to provide accurate RFID data to applications.
Probabilistic data management for pervasive computing: The data furnace project
- IEEE Data Eng. Bull
, 2006
"... The wide deployment of wireless sensor and RFID (Radio Frequency IDentification) devices is one of the key enablers for next-generation pervasive computing applications, including large-scale environmental monitoring and control, context-aware computing, and “smart digital homes”. Sensory readings a ..."
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The wide deployment of wireless sensor and RFID (Radio Frequency IDentification) devices is one of the key enablers for next-generation pervasive computing applications, including large-scale environmental monitoring and control, context-aware computing, and “smart digital homes”. Sensory readings are inherently unreliable and typically exhibit strong temporal and spatial correlations (within and across different sensing devices); effective reasoning over such unreliable streams introduces a host of new data management challenges. The Data Furnace project at Intel Research and UC-Berkeley aims to build a probabilistic data management infrastructure for pervasive computing environments that handles the uncertain nature of such data as a first-class citizen through a principled framework grounded in probabilistic models and inference techniques. 1
Understanding Radio Frequency Identification (RFID) and Its Impact on the Supply Chain
, 2006
"... Understanding Radio Frequency Identification (RFID) and Its Impact on the Supply Chain Fueled by initiatives from Wal-Mart and the U.S. Department of Defense, radio-frequency identification (RFID) is gaining significant momentum as a technology solution in the supply chain. Despite the considerable ..."
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Understanding Radio Frequency Identification (RFID) and Its Impact on the Supply Chain Fueled by initiatives from Wal-Mart and the U.S. Department of Defense, radio-frequency identification (RFID) is gaining significant momentum as a technology solution in the supply chain. Despite the considerable promise of RFID, there is still a significant lack of knowledge and clarity around the topic, however, which is possibly impeding acceptance and adoption in the supply chain. To address this problem, this document serves to educate readers on RFID topics including technology, standards, supply chain applications and benefits, industry examples, costs and ROI models, and risks and challenges. The ultimate goal of the paper is to support readers in their own assessment and development of RFID solutions.
THE INSTITUTIONAL FACETS OF INNOVATION DIFFUSION INITIATING: THE CASE OF WAL-MART’S RFID CAMPAIGN
"... Les facettes institutionnelles de l’initialisation de la diffusion d’une innovation: le cas de la campagne RFID de Wal-Mart ..."
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Les facettes institutionnelles de l’initialisation de la diffusion d’une innovation: le cas de la campagne RFID de Wal-Mart
Chapter 11 A SURVEY OF RFID DATA PROCESSING
"... Radio Frequency Identification (RFID) is a new technology which allows a sensor (reader) to read, from a distance, and without line of sight, a unique product identification code (EPC) associated with a tag. Such tags are very useful in inventory management and logistics, because they can be used in ..."
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Radio Frequency Identification (RFID) is a new technology which allows a sensor (reader) to read, from a distance, and without line of sight, a unique product identification code (EPC) associated with a tag. Such tags are very useful in inventory management and logistics, because they can be used in order to track the movement and locations of large volumes of items in a cost effective way. This leads to massive streams of noisy data, which can be used in the context of a variety of data management and event processing algorithms. The use of RFID also has a number of privacy challenges associated with it, because a tag on an item being carried by a person, also becomes a unique location tag for that person. Therefore, methods need to to be designed to increase the privacy and security of RFID technology. This chapter will provide a broad overview and survey of a variety of RFID data management, mining and processing techniques. We will also discuss the privacy and security issues associated with the use of RFID technology.
Cloud Computing Solution and Services for RFID Based Supply Chain Management
, 2013
"... Copyright © 2013 S. M. Khalid Jamal et al. This is an open access article distributed under the Creative Commons Attribution Li-cense, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. Deploying and Implementing RFID Systems f ..."
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Copyright © 2013 S. M. Khalid Jamal et al. This is an open access article distributed under the Creative Commons Attribution Li-cense, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. Deploying and Implementing RFID Systems for tracking and controlling products in supply chain management is not affordable for small and midsized companies due to its complexity, cost, and difficulties pertaining data management and maintenance. Cloud computing can be used to mitigate the risks associated with the implementation and deploy-ment of RFID based on system in supply chain management because the complex system for data filtering, management and maintenance can be implemented on the cloud that otherwise requires the purchase of new hardware, staff and pro-fessional services.
