4results about How to "Increase rate of change" patented technology

A nitride semiconductor material having low lattice thermal conductivity and a heat flow switching element including the same are provided. The nitride semiconductor material according to the present invention is a metal nitride represented by M-Si-N-Te (where M represents at least one kind of transition metal element, and Te represents an arbitrary element), and has a thermal effusivity of less than 2000 Ws0.5 / m2K. In particular, the M is at least one of Cr, Mn, Ni, Mo, and W. In addition, a heat flow switching element according to the present invention includes an N-type semiconductor layer 3, an insulator layer 4 formed on the N-type semiconductor layer, and a P-type semiconductor layer 5 formed on the insulator layer, wherein at least one of the N-type semiconductor layer and the P-type semiconductor layer is formed from the nitride semiconductor material described above.

The application relates to a robot autonomous navigation method based on local information, which comprises the following steps: step 1, a virtual navigation platform is built, an autonomous navigation model is designed, and training data of a virtual navigation process are collected; step 2, based on the training data, a deep reinforcement learning algorithm is used to train the autonomous navigation model; step 3, the trained autonomous navigation model is derived and encapsulated; and step 4, the encapsulated autonomous navigation model is applied to an actual navigation task. Compared with the prior art, the application has the advantages of high scene applicability and low calculation complexity.

The application discloses a self-powered pressure sensor and a preparation method thereof, and the self-powered pressure sensor comprises a zinc electrode, a copper electrode, an ionic gel electrolyte film and a packaging layer provided with a gas escape gap, the upper surface of the ionic gel electrolyte film is provided with a hemispherical microstructure array, and the lower surface is provided with a microgroove or micro-pit array. The self-powered pressure sensor provided by the application solves the problems of low output performance and insufficient cycle durability caused by the deep coupling of energy supply and sensing function in traditional electrochemical self-powered sensors by means of the ionic gel electrolyte film with double-layer interlocking microstructures, high conductivity and good mechanical properties, and realizes the balance between high-sensitivity pressure sensing and high-power energy output. The self-powered pressure monitoring system constructed on the basis of the sensor can work independently without an external power supply, and can realize accurate identification of human motion rehabilitation actions in combination with a convolutional neural network model.

The application discloses a self-powered pressure sensor and a preparation method thereof, and the self-powered pressure sensor comprises a zinc electrode, a copper electrode, an ionic gel electrolyte film and a packaging layer provided with a gas escape gap, the upper surface of the ionic gel electrolyte film is provided with a hemispherical microstructure array, and the lower surface is provided with a microgroove or micro-pit array. The self-powered pressure sensor provided by the application solves the problems of low output performance and insufficient cycle durability caused by the deep coupling of energy supply and sensing function in traditional electrochemical self-powered sensors by means of the ionic gel electrolyte film with double-layer interlocking microstructures, high conductivity and good mechanical properties, and realizes the balance between high-sensitivity pressure sensing and high-power energy output. The self-powered pressure monitoring system constructed on the basis of the sensor can work independently without an external power supply, and can realize accurate identification of human motion rehabilitation actions in combination with a convolutional neural network model.