scholarly journals A Basketball Technique Balance Control Technology Based on Ant Colony Algorithm

2021 ◽  
Vol 2021 ◽  
pp. 1-10
Author(s):  
Yong Wang ◽  
Yongxin Du
Keyword(s):  
Ant Colony Algorithm ◽  
Balance Control ◽  
Fitness Function ◽  
Stability Control ◽  
The Body ◽  
Ant Colony ◽  
Joint Analysis ◽  
Motion Path ◽  
Control Analysis ◽  
Joint Stress

Aiming at the problems of low accuracy, poor stability, and effect of balance control in the current basketball skill balance control process, a basketball skill balance control method based on ant colony algorithm is proposed. The principle and characteristics of ant colony algorithm are analyzed, the mathematical model of ant colony algorithm is established, and the implementation steps of ant colony algorithm are given. According to the balance and stability control principle of basketball skills, this paper constructs the balance and stability control model of basketball skills. By establishing the knee-ankle-foot joint analysis model and using the ant colony algorithm, the basketball movement path is constructed. Through the fitness function, select the basketball motion path nodes and update the pheromone, obtain the relationship between the internal stress and displacement of the body under different force directions, and obtain the influence law of the effective knee joint stress with the varus and internal rotation, so as to achieve the balance and stability of the basketball skills sexual control analysis. The experimental results show that the proposed method has better stability and effect of basketball technique balance control and can effectively improve the accuracy of basketball technique balance control.

scholarly journals Hardware-In-the-Loop Equipment for the Development of an Automatic Perturbator for Clinical Evaluation of Human Balance Control

2020 ◽  
Vol 10 (24) ◽  
pp. 8886
Author(s):  
Carlo Ferraresi ◽  
Daniela Maffiodo ◽  
Walter Franco ◽  
Giovanni Gerardo Muscolo ◽  
Carlo De Benedictis ◽  
...  
Keyword(s):  
Balance Control ◽  
The Body ◽  
Clinical Settings ◽  
Control Analysis ◽  
Hardware In The Loop ◽  
Control Laws ◽  
Component Selection ◽  
Risk Of Falls ◽  
Human Balance ◽  
Human Balance Control

Nowadays, increasing attention is being paid to techniques aimed at assessing a subject’s ability to maintain or regain control of balance, thus reducing the risk of falls. To this end, posturographic analyses are performed in different clinical settings, both in unperturbed and perturbed conditions. This article presents a new Hardware-In-the-Loop (HIL) equipment designed for the development of an automatic perturbator for postural control analysis, capable of providing controlled mechanical stimulation by means of an impulsive force exerted on a given point of the body. The experimental equipment presented here includes the perturbator and emulates its interaction with both the subject’s body and the operator performing the test. The development of the perturbator and of the entire HIL equipment is described, including component selection, modeling of the entire system, and experimentally verified simulations used to study and define the most appropriate control laws.

scholarly journals GENERATOR FUEL COST OPTIMIZATION USING ANT COLONY ALGORITHM

2019 ◽  
Vol 1 (1) ◽  
pp. 1-4
Author(s):  
Indri Suryawati ◽  
Sagita Rochman
Keyword(s):  
Power Flow ◽  
Power Plants ◽  
Optimal Power Flow ◽  
Ant Colony Algorithm ◽  
Fitness Function ◽  
Cost Optimization ◽  
Ant Colony ◽  
Fuel Cost ◽  
Ant Behavior ◽  
Shortest Distance

Ant Colony Algorithm (ACA) is an optimization algorithm was inspired by ant behavior when searching for the shortest distance from the food center. In this study, ACA is used for power plants with a fuel cost fitness function. ACA can search destinations faster than conventional methods such as Lagrange. In this study ACA used the optimal power flow of six power plants in the Java Bali 500 KV system, the optimization results reduced fuel costs by 23% and Lagrange 17.4% compared to real conditions.  

scholarly journals An Improved Ant Colony Algorithm in Wireless Sensor Network Routing

2017 ◽  
Vol 13 (05) ◽  
pp. 174 ◽  
Author(s):  
Liping LV
Keyword(s):  
Wireless Sensor Network ◽  
Sensor Network ◽  
Ant Colony Algorithm ◽  
Fitness Function ◽  
Optimal Solution ◽  
Network Routing ◽  
Ant Colony ◽  
Wireless Sensor ◽  
Destination Node ◽  
Ant Colony Optimization Algorithm

<p class="0abstract"><span lang="EN-US">In order to make the energy consumption of network nodes relatively balanced, we apply ant colony optimization algorithm to wireless sensor network routing and improve it.</span><span lang="EN-US"> In this paper, we propose a multi-path wireless sensor network routing algorithm based on energy equalization. The algorithm uses forward ants to find the path from the source node to the destination node, and uses backward ants to update the pheromone on the path. In the route selection, we use the energy of the neighboring nodes as the parameter of the heuristic function. At the same time, we construct the fitness function, and take the path length and the node residual energy as its parameters. The simulation results show that the algorithm can not only avoid the problem of local optimal solution, but also prolong the life cycle of the network effectively.</span></p>

scholarly journals Research on Balance Control of Freestyle Skiing Aerial Skills Based on Ant Colony Algorithm

2021 ◽  
Vol 2021 ◽  
pp. 1-10
Author(s):  
Wang Jun ◽  
Wenli Song ◽  
Zhipeng Li
Keyword(s):  
Data Mining ◽  
Ant Colony Algorithm ◽  
Clustering Algorithm ◽  
Balance Control ◽  
Poor Performance ◽  
Ant Colony ◽  
Strong Response ◽  
Good Reliability ◽  
Good Convergence ◽  
Mining Model

Aiming at solving the problem of poor performance of airborne freestyle skiing balance, this paper presents the research of airborne freestyle skiing balance control based on ant colony algorithm. On the basis of defining the trajectory division of the airborne balance of freestyle skiing and the track of the center of gravity of the human body, a sensor is used to collect the data of the airborne balance of freestyle skiing, and the moving average, denoising, and normalizing processes are done. The training label of the ant colony algorithm is made by the analog signal matrix, the implementation foreground of the key posture frame of freestyle skiing is extracted, the disturbed area in the key posture frame is removed by the clustering algorithm, and the key posture area of freestyle skiing is obtained. The incremental clustering of the data of the key posture area of freestyle skiing is conducted, the incremental posture data mining model of freestyle skiing is established, the mining parameters are input into the mining model, and the incremental data mining is realized by the ant colony algorithm to complete the research on the control of the airborne balance of freestyle skiing. The results show that the proposed method has good reliability, good convergence, and strong response ability.

Path planning of UHV live working hanging basket method based on grid-ant colony algorithm

2021 ◽  
pp. 1-16
Author(s):  
Yujiao Zhang ◽  
Yanran Chen ◽  
Houxu Li ◽  
Xiongfeng Huang ◽  
Cheng Yan
Keyword(s):  
Field Strength ◽  
Path Planning ◽  
Electric Field ◽  
Electric Field Strength ◽  
Ant Colony Algorithm ◽  
Element Model ◽  
The Body ◽  
Ant Colony ◽  
Breakdown Field ◽  
Grid Data

The live working paths for equipotential operators in the hanging basket method is determined by minimum safety values of various clearances stipulated in regulations. However, the optimization of the safety path planning by the complex gaps is scarce. In this paper, an optimization method for path planning is proposed based on ant colony algorithm. Grid model is established to partition the operation area into different calculation districts, in which key parameters are grid data and obstacle grids. Grid data are the maximum value of the electric field strength on the body surface, calculated by the finite element model. And obstacle grids are grids that dissatisfy the requirements of complex gaps and their data are larger than the air breakdown field strength. Then ant colony algorithm is employed to search for the best operation path with the minimum working distance and the minimum electric field strength value. After that, an application case is illustrated to demonstrate the optimizing processes. At last, the shock U50 test and power frequency corona discharge test are implemented to verify the safety of the optimized path. Therefore, the path obtained by the proposed method scientifically and effectively shortens the distance of the hanging basket method.

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