Abstract: A support device (1) and a wind generating set. The support device is used for the wind generating set, and the wind generating set comprises an electrical apparatus (3). The support device comprises: a support frame (10) which is of a hollow frame structure and comprises a plurality of beam structures (11), wherein the adjacent beam structures are connected to each other, and a relative position between at least one set of two beam structures with a connection relationship is adjustable; and a support platform (20) arranged on one surface of the support frame in a height direction of the support frame and connected to the beam structure, wherein the support platform is used for supporting the electrical apparatus. The device can be used for supporting the electrical apparatus of the wind generating set, and at the same time, the size and/or bearing capacity can be changed according to apparatus requirements, and a better universality is achieved.

Abstract: Smart walking devices, assemblies, and methods of using the same. Improved partial weight bearing requirements while using a walking aid may be provided. An example smart foot assembly may include a tubular sheath with a spring assembly connected to a foot with a force sensor coupled to the spring assembly wherein during a load phase as the distal end of the foot contacts the ground, the foot moves proximally as load is increased.

Abstract: A computer-implemented method and a system for configuring and implementing an artificial neural network. The method for configuring includes initializing an artificial neural network; and training, based on a training operation, the artificial neural network so as to form an adaptively deployable artificial neural network defining a plurality of nested artificial neural sub-networks. Each artificial neural sub-network is optimal for a respective resource configuration. The method for implementing includes determining an optimal configuration of the artificial neural network for deployment at an electrical device, and deploying the artificial neural network with the optimal configuration at the electrical device.