The Research on Neutral Grounding Scheme of Fengxian 35kV and 10 kV Power Grid

Combined with actual situation of Fengxian power Supply Company, the neutral grounding modes of Fengxian 35 kV and 10 kV power grid are studied in the paper. The different frequencies injected method is used to measure the capacitive current of Fengxian 28 substations, and the neutral grounding modes of the 28 substations are determined based on the measured values of capacitive current.

Using the Power Control and Cooperative Communication for Energy Saving in Mobile Ad Hoc Networks

In this paper, we investigate the energy saving problem in mobile ad hoc network, and give out an improved variable-range transmission power control algorithm based on minimum spanning tree algorithm (MST). Using previous work by Gomez and Campbell [1], we show that in consider of node's mobility, the previous variable-range transmission power control based on minimum spanning tree algorithm can not support nodes' mobility in mobile ad hoc network. For this reason, we give out an improved variable-range transmission power control algorithm to support node's mobility and solve asymmetric graph problem. To save more energy without changing the topology of the network, we give out two new data transmission mechanisms based on the idea of cooperative communication. The results of this paper enhance the possibility of using variable-range transmission power control in mobile ad hoc networks.

ViT-based Terrain Recognition System for wearable soft exosuit

Terrain classification and force assistance strategies in complex environments have always piqued the interest of many researchers.For wearable soft exosuits,inaccurate terrain recognition can easily introduce undesired assist forces that can easily injure the wearer.Because of these problems,we introduced a depth camera into the exosuit system,perform classification of terrain based on a Vision Transformer(ViT),and optimized the control algorithm,which is known as a ViT-Based Terrain Recognition System(TTRS).First,we used the Transformer algorithm to achieve a considerable classification effect in terrain recognition.We also introduced terrain recognition as prior knowledge into the force assistance strategy of the exosuit,providing different force assistance to the exosuit in different terrains.Subsequently,we performed human experiments with seven able-bodied people(six males and one female).The promising results demonstrate that our classification accuracy can reach 99.2%under six different terrains and that it can smoothly switch the force–assist curve in different terrains to better adapt to the complex terrain and improve the walking effect.The aforementioned terrain recognition algorithms and force–assist strategies may positively influence the study of soft exosuit,powered prostheses,and orthotics.