Wen Ye

ORCID: 0009-0006-5223-1822
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About
Contact & Profiles
Research Areas
  • Advanced biosensing and bioanalysis techniques
  • Molecular Communication and Nanonetworks
  • Wireless Body Area Networks
  • Neural Networks and Applications
  • Multilevel Inverters and Converters
  • Micro and Nano Robotics
  • Sensorless Control of Electric Motors
  • Advanced DC-DC Converters

South China University of Technology
2024

Chongqing University of Science and Technology
2013

Light sensing and communication represent a vital link in the progress of biological evolution, helping organisms to respond their environment carry out survival activities. To simulate this process exploit it engineering applications, we develop light-driven micro/nanorobotic system. Like natural defense mechanisms vision, these robots can mimic sensitivity responsiveness living light stimuli. Additionally, development nanotechnology molecular (MC) caters trend Internet Bio-Nano Things....

10.1109/lra.2024.3355643 article EN IEEE Robotics and Automation Letters 2024-01-19

In molecular communication (MC), molecules can play dual roles, one as information carriers and the other energy providers based on chemical reactions, importance of which is self-evident. this paper, we propose a novel modulation scheme, termed absorption shift keying (AbSK), to harvest unused while boosting system performance. It relies third switch-controllable molecule harvesting node in addition both transmitter receiver conventional point-to-point MC scenario. setting, proposed AbSK...

10.1109/tmbmc.2024.3364019 article EN IEEE Transactions on Molecular Biological and Multi-Scale Communications 2024-02-08

With recent advances in building foundation models for texts and video data, there is a surge of interest time series. A family have been developed, utilizing temporal auto-regressive generative Transformer architecture, whose effectiveness has proven Large Language Models. While the empirical results are promising, almost all existing series only tested on well-curated ``benchmark'' datasets very similar to texts. However, real-world exhibit unique challenges, such as variable channel sizes...

10.48550/arxiv.2409.02322 preprint EN arXiv (Cornell University) 2024-09-03

Power switching components' dead time, voltage drop and the change in load introduce distortion output of SPWM inverter. This kind outputs will trigger a series serious problems, like lowering stability running equipment, increasing loss, etc. In this paper, based on causes different kinds distortion, aiming at dead-zone effect, algorithm to minimize time reduce zero-crossing is given; model parameters load, adaptive linear neural network, about detection compensation proposed. Finally,using...

10.1109/icci-cc.2013.6622284 article EN 2013-07-01
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