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Träfflista för sökning "WFRF:(Zhang Zhuo) srt2:(2015-2019)"

Sökning: WFRF:(Zhang Zhuo) > (2015-2019)

  • Resultat 11-13 av 13
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11.
  • Zhang, Wei, et al. (författare)
  • Hierarchical Design of a Low Power Standing Wave Oscillator Based Clock Distribution Network
  • 2016
  • Ingår i: 2016 2ND IEEE NORDIC CIRCUITS AND SYSTEMS CONFERENCE (NORCAS). - : IEEE conference proceedings. - 9781509010950
  • Konferensbidrag (refereegranskat)abstract
    • This paper introduces a hierarchical clock interconnection network with two-level bufferless standing wave resonant clock distribution to minimize the clock power consumption in a synchronous system. The first level is a serpentine network which consists of many coupled standing wave oscillators to distribute clock signals in the whole chip area. The second level is a group of fishbone architectures connected to the standing wave oscillators to route clock signals in the local areas. A clock synthesis flow for the fishbone architecture is also introduced to enable design automation. This fishbone architecture is studied through a pipelined floating-point fused multiply-add module under 28nm standard CMOS process. Simulation results show that, this architecture can reduce more than 30% clock power consumption compared with a traditional buffered clock network.
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12.
  • Zhang, Zhuo, et al. (författare)
  • Iterative point-wise reinforcement learning for highly accurate indoor visible light positioning
  • 2019
  • Ingår i: Optics Express. - : OPTICAL SOC AMER. - 1094-4087 .- 1094-4087. ; 27:16, s. 22161-22172
  • Tidskriftsartikel (refereegranskat)abstract
    • Iterative point-wise reinforcement learning (IPWRL) is proposed for highly accurate indoor visible light positioning (VLP). By properly updating the height information in an iterative fashion, the IPWRL not only effectively mitigates the impact of non-deterministic noise but also exhibits excellent tolerance to deterministic errors caused by the inaccurate a priori height information. The principle of the IPWRL is explained, and the performance of the IPWRL is experimentally evaluated in a received signal strength (RSS) based VLP system and compared with other positioning algorithms, including the conventional RSS algorithm, the k-nearest neighbors (KNN) algorithm and the PWRL algorithm where iterations exclude. Unlike the supervised machine learning method, e.g., the KNN, whose performance is highly dependent on the training process, the proposed IPWRL does not require training and demonstrates robust positioning performance for the entire tested area. Experimental results also show that when a large height information mismatch occurs, the IPWRL is able to first correct the height information and then offers robust positioning results with a rather low positioning error, while the positioning errors caused by the other algorithms are significantly higher.
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13.
  • Zhuo, Lang, et al. (författare)
  • Time Trade-Off Value Set for EQ-5D-3L Based on a Nationally Representative Chinese Population Survey
  • 2018
  • Ingår i: Value in Health. - : Elsevier. - 1098-3015 .- 1524-4733. ; 21:11, s. 1330-1337
  • Tidskriftsartikel (refereegranskat)abstract
    • Objectives: To obtain a nationally representative Chinese three-level EuroQol five-dimensional questionnaire value set based on the time trade-off (TTO) method.Methods: A multistage, stratified, clustered random nationally representative Chinese sample was used. The study design followed an adapted UK Measurement and Valuation of Health protocol. Each respondent valued 11 random states plus state 33333 and "unconscious" using the TTO method in face-to-face interviews. Three types of models were explored: ordinary least squares, general least squares, and weighted least squares models.Results: In total, 5939 inhabitants aged 15 years and older were interviewed. Of these, 5503 satisfactorily interviewed participants were included in constructing models. An ordinary least squares model including 10 dummies without constant and N3 had a mean absolute error of 0.083 and a correlation coefficient of 0.899 between the predicted and mean values. Goodness-of-fit indices of two models based on split subsample were similar.Conclusions: TTO values were higher in our study compared with those in a study carried out in urban areas, which is mirrored by the higher values in rural areas. Several other aspects, in addition to the valuation procedure, might have influenced the results, such as factors beyond demographic factors such as view on life and death and believing in an afterlife, which need further investigation. Future studies using the three-level EuroQol five-dimensional questionnaire should consider using this value set based on a nationally representative sample of the Chinese population.
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