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Thorben Keller
Former Member
Title
Dr.
Last Name
Keller
First name
Thorben
Phone
+41 71 224 7243
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Item type:Publication, Efficient Encoding and Transmission of Digital Receipts for mobile Commerce(2013-06-10); ; ; Making receipts digital creates a new dialog between customers, retailers, and brands, allowing them to discuss products and purchases in real-time. However, the transmission of digital receipts is still a problem, since often Internet connectivity is not available at the point of sale which hampers a real-time interaction. To overcome this problem with current technology, this paper presents a way to efficiently transmit a complete receipt in a QR-code, a certain kind of 2D matrix code (often also called "2D barcode"). Thereby, only a smartphone equipped with a camera is needed and Internet connectivity is not a problem anymore. However, due to size constraints, the encoding of a full receipt needs to be as efficient as possible. We present a custom, domain-specific encoding that was developed exactly for this purpose and show that our prototype implementation performs better than sophisticated, general purpose compression algorithms on this kind of data.Type:conference paper - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Decreasing false-positive RFID Tag Reads by Improved Portal Antenna SetupsThe problem of false-positive RFID tag reads i.e., tags that have been read unintentionally by a reader, is crucial for the actual implementation of RFID solutions in the real world. Prior research has shown that the use of the low-level reader data is suitable to approach this problem and it is the scope of this paper to evaluate the use of alternative RFID reader antenna setups to support this idea. We collected a large number of data in a productive RFID enabled distribution center, derived additional knowledge from our findings and used it to train a machine learning algorithm for the detection of such false-positive reads. It will be shown that the proposed solutions significantly improve the previously in the literature presented classification algorithms.Type:conference paperScopus© Citations 21