e-infrastructure Roadmap for Open Science in Agriculture

A bibliometric study

The e-ROSA project seeks to build a shared vision of a future sustainable e-infrastructure for research and education in agriculture in order to promote Open Science in this field and as such contribute to addressing related societal challenges. In order to achieve this goal, e-ROSA’s first objective is to bring together the relevant scientific communities and stakeholders and engage them in the process of coelaboration of an ambitious, practical roadmap that provides the basis for the design and implementation of such an e-infrastructure in the years to come.

This website highlights the results of a bibliometric analysis conducted at a global scale in order to identify key scientists and associated research performing organisations (e.g. public research institutes, universities, Research & Development departments of private companies) that work in the field of agricultural data sources and services. If you have any comment or feedback on the bibliometric study, please use the online form.

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Title

FUZZY ONTOLOGICAL KNOWLEDGE SYSTEM FOR IMPROVING RFID RECOGNITION

en
Abstract

To remain competitive in business and to be quick responsive in the warehouse and supply chain, the use of RFID has been increasing in many industry areas. RFID can identify multiple objects simultaneously as well as identifying individual objects respectively. Some limitations of RFID still remain in the low recognition rate and the sensitive response according to the material type and its ambient environment. Much effort has been made to enhance the recognition rate and to be more robust. Examples include tag design change, antenna angle, search angle, and signal intensity to name a few. The paper proposes fuzzy logic based ontological knowledge system for improving the recognition rate of RFID and the variance of recognition. In order to improve a performance and reduce a variance, the following sub-goals are pursued. First, ontology is constructed for the environmental factors to be used as a knowledge base. Second, fuzzy membership function is defined using the Forward Link Budget in RFID. Finally, a conceptual knowledge system is proposed and tested to verify the model in the experimental environment.

en
Year
2013
en
Country
  • KR
Organization
  • Dong_Eui_Univ (KR)
  • Kyungsung_Univ (KR)
Data keywords
  • knowledge
  • ontology
  • knowledge based
en
Agriculture keywords
  • supply chain
en
Data topic
  • semantics
  • sensors
en
SO
INTERNATIONAL JOURNAL OF INDUSTRIAL ENGINEERING-THEORY APPLICATIONS AND PRACTICE
Document type

Inappropriate format for Document type, expected simple value but got array, please use list format

Institutions 10 co-publis
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    e-ROSA - e-infrastructure Roadmap for Open Science in Agriculture has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 730988.
    Disclaimer: The sole responsibility of the material published in this website lies with the authors. The European Union is not responsible for any use that may be made of the information contained therein.