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Electronic skin (E‐skin) with multimodal sensing ability demonstrates huge prospects in object classification by intelligent robots. However, realizing the object classification capability of E‐skin faces severe challenges in multiple types of output signals. Herein, a hierarchical pressure–temperature bimodal sensing E‐skin based on all resistive output signals is developed for accurate object classification,...
Artificial Sensory Neural Network Systems
In article number 2301196, Chun Zhao, Xin Wang, and co‐workers develop an artificial sensory neural network system, combining digital‐analog bimodal memristor with piezoresistive tactile sensory array, to achieve tactile sensing, information storage, and neuromorphic computing, which would demonstrate potential in human‐machine interaction, prosthetics, and...
Memristor with digital and analog bipolar bimodal resistive switching offers a promising opportunity for the information‐processing component. However, it still remains a huge challenge that the memristor enables bimodal digital and analog types and fabrication of artificial sensory neural network system. Here, a proposed CsPbBr3‐based memristor demonstrates a high ON/OFF ratio (>103), long retention...
A portable water generator (7 kg) with two thermoelectric coolers (TECs) was designed and experimentally investigated in this study. Different inlet air relative humidity (RH) and air flow rates were investigated to obtain their impacts on the amount of generated water and condensation rate. The amount of generated water and condensation rate increased with the RH rose. The amount of generated water...
The strip steel is widely used in industries, but there always exists some flaws during its manufacturing. The flaws are difficult to be detected and the analysis of the data obtained from Magnetic Flux Leakage (MFL) inspection of the strip steel is quite a challenge. In order to solve this problem, the MFL data is first processed with difference method, and then removed the baseline drift by wavelet...
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