• Title/Summary/Keyword: SigFox

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Performance Evaluation of Low Power Communication Techniques Coverage for Internet of Things (IoT를 위한 저전력 통신 기술의 성능 평가)

  • Yoon, JeongHyeon;Kim, Seungku
    • Journal of Korea Multimedia Society
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    • v.24 no.9
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    • pp.1211-1223
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    • 2021
  • Internet of Things(IoT) services have increased the demand for connectivity among electronics devices. As a result, various types of novel wireless communication technologies have been standardized and developed. In this paper, we evaluate the performance of low power wireless communication technologies such as Bluetooth, IEEE 802.15.4, DASH 7, IEEE 802.15.4g, LoRa, and SigFox in various environments. This is the first experiment evaluating various low power wireless communication technologies in real testbed. We expect that the evaluation results will be useful data to other researchers in applying the IoT technology in the future.

Current status on plant functional genomics (식물 유전자 연구의 최근 동향)

  • Cho, Yong-Gu;Woo, Hee-Jong;Yoon, Ung-Han;Kim, Hong-Sig;Woo, Sun-Hee
    • Journal of Plant Biotechnology
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    • v.37 no.2
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    • pp.115-124
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    • 2010
  • As the completion of genome sequencing, large collection of expression data and the great efforts in annotating plant genomes, the next challenge is to systematically assign functions to all predicted genes in the genome. Functional genome analysis of plants has entered the high-throughput stage. The generations and collections of mutants at the genome-wide level form technological platform of functional genomics. However, to identify the exact function of unknown genes it is necessary to understand each gene's role in the complex orchestration of all gene activities in the plant cell. Gene function analysis therefore necessitates the analysis of temporal and spatial gene expression patterns. The most conclusive information about changes in gene expression levels can be gained from analysis of the varying qualitative and quantitative changes of messenger RNAs, proteins and metabolites. New technologies have been developed to allow fast and highly parallel measurements of these constituents of the cell that make up gene activity. We have reviewed currently employed technologies to identify unknown functions of predicted genes including map-based cloning, insertional mutagenesis, reverse genetics, chemical mutagenesis, microarray analysis, FOX-hunting system, gene silencing mutagenesis, proteomics and chemical genomics. Recent improvements in technologies for functional genomics enable whole-genome functional analysis, and thus open new avenues for studies of the regulations and functions of unknown genes in plants.