Results 251 to 260 of about 24,341,499 (307)
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Incremental aggregation of RFID data
Proceedings of the 2009 International Database Engineering & Applications Symposium on - IDEAS '09, 2009Radio Frequency Identification (RFID) technology plays a key role in supply chains and a challenging problem is the effective and efficient management of the enormous volume of data generated by such systems. In this paper, we propose a new framework for storing and querying a large amount of RFID data.
Roberto De Virgilio +2 more
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2009
Radio frequency identification (RFID) technology is gaining popularity for many IT related applications. Nevertheless, an immediate adoption of RFID solutions by the existing IT infrastructure is a formidable task because of the volume of data that can be collected in a large-scale deployment of RFIDs.
Dritan Bleco, Yannis Kotidis
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Radio frequency identification (RFID) technology is gaining popularity for many IT related applications. Nevertheless, an immediate adoption of RFID solutions by the existing IT infrastructure is a formidable task because of the volume of data that can be collected in a large-scale deployment of RFIDs.
Dritan Bleco, Yannis Kotidis
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Aggregated Visualization of Playtesting Data
Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems, 2019Playtesting is a key component in the game development process aimed at improving the quality of games through the collection of gameplay data and identification of design issues. Visualization techniques are currently being employed to help integrate quantitative and qualitative data. Despite that, two existing challenges are to determine the level of
Günter Wallner +2 more
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2015
Traditional CSMA/CA in MAC layer causes transmission control and time cost on listening and competing for channels. And the header of IPv6 packet in 6LoWPAN is usually larger than the data in it, which leads to low efficient channels. To overcome these shortages, in this paper, we proposed a novel data aggregation model.
Juan Luo, Jinyu Hu, Yuxi Zhang, Yu Liu
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Traditional CSMA/CA in MAC layer causes transmission control and time cost on listening and competing for channels. And the header of IPv6 packet in 6LoWPAN is usually larger than the data in it, which leads to low efficient channels. To overcome these shortages, in this paper, we proposed a novel data aggregation model.
Juan Luo, Jinyu Hu, Yuxi Zhang, Yu Liu
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Data Aggregation and Demand Prediction
SSRN Electronic Journal, 2019High accuracy in demand prediction allows retailers to effectively manage their inventory and mitigate stock-outs and excess supply. A typical retail setting involves predicting the demand for hundreds of items simultaneously, some with abundant historical data and others with scarce data. In “Data Aggregation and Demand Prediction,” Cohen, Zhang, and
Maxime C. Cohen +2 more
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Clusters in Aggregated Health Data
2008Spatial information plays an important role in the identification of sources of outbreaks for many different health-related conditions. In the public health domain, as in many other domains, the available data is often aggregated into geographical regions, such as zip codes or municipalities.
Kevin Buchin +5 more
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On the aggregation of eurozone data
Economics Letters, 2006Abstract Constructing eurozone aggregates is common practice in empirical studies. This study shows that the choice of aggregation method does not only matter on a theoretical basis. A brief study on eurozone money demand indicates the empirical importance of choosing the correct aggregation method as different aggregates give substantially different
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A data structure for representing aggregate data
Proceedings of 8th International Conference on Scientific and Statistical Data Base Management, 2002Aggregate data are obtained by applying statistical aggregations and statistical analysis functions over raw data. We believe that a major adherence of aggregate data to the process that generates them can make their modeling simpler and more effective.
Antonia Bezenchek +2 more
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Estimation from aggregate data
Computational Statistics & Data Analysis, 2011zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Evans Gouno, L. Courtrai, Marc Fredette
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Protecting Aggregate Genomic Data
Science, 2008A paper published recently in PLOS Genetics ([1][1]) describes a statistical method for resolving individual genotypes within a mix of DNA samples or data sets containing aggregate single-nucleotide polymorphism data.
Elias A, Zerhouni, Elizabeth G, Nabel
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