2P1-K05 Event Recognition based on Active Selection of Description Subject and Level of Abstractness(Integrating Ambient Intelligence)

2011 ◽  
Vol 2011 (0) ◽  
pp. _2P1-K05_1-_2P1-K05_4
Author(s):  
Kosuke Sekiyama ◽  
Kandai Watanabe ◽  
Toshio Fukuda
2019 ◽  
Vol 46 (1) ◽  
pp. 1 ◽  
Author(s):  
Hiroyuki Shimono ◽  
Graham Farquhar ◽  
Matthew Brookhouse ◽  
Florian A. Busch ◽  
Anthony O'Grady ◽  
...  

Elevated atmospheric CO2 concentration (e[CO2]) can stimulate the photosynthesis and productivity of C3 species including food and forest crops. Intraspecific variation in responsiveness to e[CO2] can be exploited to increase productivity under e[CO2]. However, active selection of genotypes to increase productivity under e[CO2] is rarely performed across a wide range of germplasm, because of constraints of space and the cost of CO2 fumigation facilities. If we are to capitalise on recent advances in whole genome sequencing, approaches are required to help overcome these issues of space and cost. Here, we discuss the advantage of applying prescreening as a tool in large genome×e[CO2] experiments, where a surrogate for e[CO2] was used to select cultivars for more detailed analysis under e[CO2] conditions. We discuss why phenotypic prescreening in population-wide screening for e[CO2] responsiveness is necessary, what approaches could be used for prescreening for e[CO2] responsiveness, and how the data can be used to improve genetic selection of high-performing cultivars. We do this within the framework of understanding the strengths and limitations of genotype–phenotype mapping.


2014 ◽  
Vol 47 (3) ◽  
pp. 1443-1458 ◽  
Author(s):  
Ahmad Ali Abin ◽  
Hamid Beigy

Author(s):  
Piero Zappi ◽  
Clemens Lombriser ◽  
Luca Benini ◽  
Gerhard Tröster

This paper describes a methodology and lessons learned from collecting datasets in Ambient Intelligence Environments. The authors present considerations on how to setup an experiment and discuss decisions taken at different planning steps, ranging from the selection of human activities over sensor choices to issues of the recording software. The experiment design and execution is illustrated through a dataset involving 150 recording sessions with 28 sensors worn on the subject body and embedded into tools and the environment. The paper also describes a number of unforeseen problems that affected the experiment and useful considerations that help other researchers recording their own ambient intelligence datasets.


2010 ◽  
Vol 2 (2) ◽  
pp. 42-56 ◽  
Author(s):  
Piero Zappi ◽  
Clemens Lombriser ◽  
Luca Benini ◽  
Gerhard Tröster

This paper describes a methodology and lessons learned from collecting datasets in Ambient Intelligence Environments. The authors present considerations on how to setup an experiment and discuss decisions taken at different planning steps, ranging from the selection of human activities over sensor choices to issues of the recording software. The experiment design and execution is illustrated through a dataset involving 150 recording sessions with 28 sensors worn on the subject body and embedded into tools and the environment. The paper also describes a number of unforeseen problems that affected the experiment and useful considerations that help other researchers recording their own ambient intelligence datasets.


Author(s):  
Fernando Reinaldo Ribeiro ◽  
Rui José

A public display that is able to present the right information at the right time is a very compelling concept. However, realising or even approaching this ability to autonomously select appropriate content based on some interpretation of the surrounding social context represents a major challenge. This chapter provides an overview of the key challenges involved and an exploration of some of the main alternatives available. It also describes a novel content adaptation framework that defines the key building blocks for supporting autonomous selection of the Web sources for presentation on public displays. This framework is based on a place model that combines content suggestions expressed by multiple place visitors with those expressed by the place owner. Evaluation results have shown that a place tag cloud can provide a valuable approach to this issue and that people recognize and understand the sensitivity of the system to their demands.


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