Applying data warehousing technique in pervasive assistive environment

Ferdous, Shahina; Fegaras, Leonidas; Makedon, Fillia

doi:10.1145/1839294.1839333

Cited by 7 publications

(3 citation statements)

References 8 publications

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“…Efficient storage scheme and encoding the object paths are designed [9], [10] to support faster query performance for supply chain RFID data. RFID data warehousing for tracking patients and drugs has been studied [2]. The general challenges and solutions for RFID data management are also discussed [1], [13].…”

Section: Related Workmentioning

confidence: 99%

A Data Warehouse Solution for Analyzing RFID-Based Baggage Tracking Data

Ahmed

Pedersen

2013

2013 IEEE 14th International Conference on Mobile Data Management

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Abstract-Today, airport baggage handling is far from perfect. Baggage goes on the wrong flights, is left behind, or gets lost, which costs a lot of money for the airlines, as well as frustration for the passengers. To remedy the situation, we present a data warehouse (DW) solution for storing and analyzing spatio-temporal Radio Frequency Identification (RFID) baggage tracking data. Analysis of this data can yield interesting results on baggage flow, the causes of baggage mishandling, and the parties responsible for the mishandling(airline, airport, handler,...), which can ultimately lead to improved baggage handling quality. The paper presents a carefully designed data warehouse (DW), with a relational schema sitting underneath a multidimensional data cube, that can handle the many complexities in the data. The paper also discusses the Extract-Transform-Load (ETL) flow that loads the data warehouse with the appropriate tracking data from the data sources. The presented concepts are generalizable to other types of multi-site indoor tracking systems based on Bluetooth and RFID. The system has been tested with large amount of real-world RFID-based baggage tracking data from a major industry initiative. The developed solution is shown to both reveal interesting insights as well as being several orders of magnitude faster than computing the results directly on the data sources.

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Section: Related Workmentioning

confidence: 99%

A Data Warehouse Solution for Analyzing RFID-Based Baggage Tracking Data

Ahmed

Pedersen

2013

2013 IEEE 14th International Conference on Mobile Data Management

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“…The reason of more focus on RFID and more applications of RFID is that RFID has several advantages that traditional information system [8], [9], [10] doesn't have: 1) High efficiency. The reader of RFID can read multiple RFID e-tag at one time which greatly improve the efficiency of data collection and processing, while traditional information system can only deal with a code or an object at one time which causes low efficiency.…”

Section: Related Workmentioning

confidence: 99%

Rapdos: A RFID Authentication Protocol for Defending against DoS

Wang

Zhong

2012

2012 Fourth International Conference on Computational and Information Sciences

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Radio frequency identification (RFID) technology is a non-contact automatic identification technology. The basic principle of RFID is coupled with radio frequency signal and the spatial transmission characteristics. From object recognition to achieve automatic recognition, RFID has the advantages of being effective, diversity, high capacity, low cost, anti-pollution, penetrating and so on. However, current RFID authentication protocols cannot defend against DoS attack. This paper proposes Rapdos, a novel mutual authentication protocol, which is based on the use of symmetric encryption and dynamic update key to prevent the DoS attack. The experiment has validated that Rapdos has provided good security for RFID system and can defeat location privacy attack relay attack eavesdropping attack denial-of-service attack and solve problems of RFID security privacy.

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“…In a proposed architecture for virtualization of data in warehouses, the authors replace conventional data with a non-subjective, consistent, and time-variant type of data, making a synthetic warehouse for analytical processing, aiming scalability and source dynamics [13]. Radiofrequency identification, short-term scheduling and online monitoring are largely used in warehouses and industry [14][15][16].…”

Section: Introductionmentioning

confidence: 99%

Blending Colored and Depth CNN Pipelines in an Ensemble Learning Classification Approach for Warehouse Application Using Synthetic and Real Data

et al. 2021

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Electric companies face flow control and inventory obstacles such as reliability, outlays, and time-consuming tasks. Convolutional Neural Networks (CNNs) combined with computational vision approaches can process image classification in warehouse management applications to tackle this problem. This study uses synthetic and real images applied to CNNs to deal with classification of inventory items. The results are compared to seek the neural networks that better suit this application. The methodology consists of fine-tuning several CNNs on Red–Green–Blue (RBG) and Red–Green–Blue-Depth (RGB-D) synthetic and real datasets, using the best architecture of each domain in a blended ensemble approach. The proposed blended ensemble approach was not yet explored in such an application, using RGB and RGB-D data, from synthetic and real domains. The use of a synthetic dataset improved accuracy, precision, recall and f1-score in comparison with models trained only on the real domain. Moreover, the use of a blend of DenseNet and Resnet pipelines for colored and depth images proved to outperform accuracy, precision and f1-score performance indicators over single CNNs, achieving an accuracy measurement of 95.23%. The classification task is a real logistics engineering problem handled by computer vision and artificial intelligence, making full use of RGB and RGB-D images of synthetic and real domains, applied in an approach of blended CNN pipelines.

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Applying data warehousing technique in pervasive assistive environment

Cited by 7 publications

References 8 publications

A Data Warehouse Solution for Analyzing RFID-Based Baggage Tracking Data

A Data Warehouse Solution for Analyzing RFID-Based Baggage Tracking Data

Rapdos: A RFID Authentication Protocol for Defending against DoS

Blending Colored and Depth CNN Pipelines in an Ensemble Learning Classification Approach for Warehouse Application Using Synthetic and Real Data

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