Pub Date : 2019-06-01DOI: 10.1109/YAC.2019.8787618
Yuke Liu, Qingyong Zhang, Lijuan Yu
Aiming at the defects that the basic fruit fly optimization algorithm has low control precision and is easy to fall into local optimum, an adaptive multi-group fruit fly optimization algorithm is proposed. Due to the constant step size, the basic fruit fly algorithm has a lack of convergence efficiency and optimization precision. For this problem, the radius adjustment coefficient is introduced in the search process, so that the search radius decreases with the increase of iterations. In order to avoid the premature phenomenon caused by the lack of population diversity in the search process, the degree of utilization of the whole information during the evolution of the population is improved by simultaneously learning the local optimal individual and the global optimal individual of the subpopulation. At the same time, adding individual variation mechanism to further increase the diversity of the population makes the algorithm jump out of the local optimal solution. The simulation results show that the proposed algorithm has better performance in terms of convergence efficiency and optimization accuracy.
{"title":"Adaptive multi-group fruit fly optimization algorithm","authors":"Yuke Liu, Qingyong Zhang, Lijuan Yu","doi":"10.1109/YAC.2019.8787618","DOIUrl":"https://doi.org/10.1109/YAC.2019.8787618","url":null,"abstract":"Aiming at the defects that the basic fruit fly optimization algorithm has low control precision and is easy to fall into local optimum, an adaptive multi-group fruit fly optimization algorithm is proposed. Due to the constant step size, the basic fruit fly algorithm has a lack of convergence efficiency and optimization precision. For this problem, the radius adjustment coefficient is introduced in the search process, so that the search radius decreases with the increase of iterations. In order to avoid the premature phenomenon caused by the lack of population diversity in the search process, the degree of utilization of the whole information during the evolution of the population is improved by simultaneously learning the local optimal individual and the global optimal individual of the subpopulation. At the same time, adding individual variation mechanism to further increase the diversity of the population makes the algorithm jump out of the local optimal solution. The simulation results show that the proposed algorithm has better performance in terms of convergence efficiency and optimization accuracy.","PeriodicalId":6669,"journal":{"name":"2019 34rd Youth Academic Annual Conference of Chinese Association of Automation (YAC)","volume":"36 1","pages":"17-22"},"PeriodicalIF":0.0,"publicationDate":"2019-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"81112370","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2019-06-01DOI: 10.1109/YAC.2019.8787725
K. Wu, Chao Zhang, Xiao-pei Wu, De Wu, Xia Niu
In the field of early diagnosis of autism children, the current method is mainly based on doctors' clinical observation and experience with the assistance of some quantitive indexes. In this paper, we propose to use acoustic features of crying sound for the early diagnosis of autistic children. Four acoustic features extraction methods (wavelet decomposition coefficient, DWT-MFCC, MFCC and LPCC) and two machine leaning-based classifiers (SVM, CNN) are applied to the crying sounds of autism children aged 2 to 3 years old. Comparison experiments show that MFCC features with SVM and CNN achieved the highest recognition rate, while DWT-MFCC exhibited the most stable performance in the case of five different SNRs. And it also can be seen from the experiments that the convergence speed of MFCC and DWT-MFCC features with CNN is approximately the same. Our research may ultimately help doctors diagnose autism in young children from a speech signal processing perspective.
{"title":"Research on Acoustic Feature Extraction of Crying for Early Screening of Children with Autism","authors":"K. Wu, Chao Zhang, Xiao-pei Wu, De Wu, Xia Niu","doi":"10.1109/YAC.2019.8787725","DOIUrl":"https://doi.org/10.1109/YAC.2019.8787725","url":null,"abstract":"In the field of early diagnosis of autism children, the current method is mainly based on doctors' clinical observation and experience with the assistance of some quantitive indexes. In this paper, we propose to use acoustic features of crying sound for the early diagnosis of autistic children. Four acoustic features extraction methods (wavelet decomposition coefficient, DWT-MFCC, MFCC and LPCC) and two machine leaning-based classifiers (SVM, CNN) are applied to the crying sounds of autism children aged 2 to 3 years old. Comparison experiments show that MFCC features with SVM and CNN achieved the highest recognition rate, while DWT-MFCC exhibited the most stable performance in the case of five different SNRs. And it also can be seen from the experiments that the convergence speed of MFCC and DWT-MFCC features with CNN is approximately the same. Our research may ultimately help doctors diagnose autism in young children from a speech signal processing perspective.","PeriodicalId":6669,"journal":{"name":"2019 34rd Youth Academic Annual Conference of Chinese Association of Automation (YAC)","volume":"106 1","pages":"290-295"},"PeriodicalIF":0.0,"publicationDate":"2019-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"77527251","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
The heavy-duty vehicles have large transportation capacity. Load value and load centroid position of the heavy-duty vehicles vary with the cargo mass and the driving condition, which affect driving safety and handling stability. Load value and load centroid position of the vehicles are usually measured on fixed test platform, and the vehicles are stationary or pass the platform slowly in the measurement process. This paper proposes a vehicle load and load centroid measurement system based on the machine vision and vertical displacement of the body, which is measured during the driving process. First, a mathematical model of the body displacement and vehicle load corresponding to the axles is established, and load centroid recognition model is established. Then, roadbed facilities are arranged according to specific requirements, and the identification environment is built. Based on the machine vision technology, the vertical characteristic distance is recognized by the side camera. Finally, the vehicle load value can be obtained by resolve the parameters. Compared with the rated load data in the database, the overload judgment of the vehicle is obtained. The load centroid of the vehicle can also be identified. By filtering the characteristic distance data recognized by the machine vision, the characteristic distance measurement error is effectively reduced. The vehicle experiments were carried out with ISUZU QL5050and Yuejin Shangjun X500. The experimental results verify the effectiveness of the system and can be used to identify overloads and offset loads, the load identification error is less than 20%, and the position of the load centroid is obtained. The result guide the driver to load cargoes reasonably and drive safely. Load value and load centroid position of the heavy-duty vehicles could be also used as the inputs of active safety system, which could improve the adaptability of active safety system to complex conditions.
{"title":"Overload and Load Centroid Recognition Method Based on Vertical Displacement of Body","authors":"Yiran Ding, Daolin Zhou, Zhenyu Wang, Haoyu Wang, Ming Li, Shimin Yu","doi":"10.1109/YAC.2019.8787717","DOIUrl":"https://doi.org/10.1109/YAC.2019.8787717","url":null,"abstract":"The heavy-duty vehicles have large transportation capacity. Load value and load centroid position of the heavy-duty vehicles vary with the cargo mass and the driving condition, which affect driving safety and handling stability. Load value and load centroid position of the vehicles are usually measured on fixed test platform, and the vehicles are stationary or pass the platform slowly in the measurement process. This paper proposes a vehicle load and load centroid measurement system based on the machine vision and vertical displacement of the body, which is measured during the driving process. First, a mathematical model of the body displacement and vehicle load corresponding to the axles is established, and load centroid recognition model is established. Then, roadbed facilities are arranged according to specific requirements, and the identification environment is built. Based on the machine vision technology, the vertical characteristic distance is recognized by the side camera. Finally, the vehicle load value can be obtained by resolve the parameters. Compared with the rated load data in the database, the overload judgment of the vehicle is obtained. The load centroid of the vehicle can also be identified. By filtering the characteristic distance data recognized by the machine vision, the characteristic distance measurement error is effectively reduced. The vehicle experiments were carried out with ISUZU QL5050and Yuejin Shangjun X500. The experimental results verify the effectiveness of the system and can be used to identify overloads and offset loads, the load identification error is less than 20%, and the position of the load centroid is obtained. The result guide the driver to load cargoes reasonably and drive safely. Load value and load centroid position of the heavy-duty vehicles could be also used as the inputs of active safety system, which could improve the adaptability of active safety system to complex conditions.","PeriodicalId":6669,"journal":{"name":"2019 34rd Youth Academic Annual Conference of Chinese Association of Automation (YAC)","volume":"37 1","pages":"479-484"},"PeriodicalIF":0.0,"publicationDate":"2019-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"74108248","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2019-06-01DOI: 10.1109/YAC.2019.8787644
Yuanyuan Xu, Caixia Lv
An offshore ship suffers from unmatched disturbance caused by sea waves and currents, which may cause ship overturn accidents and need to be studied. In the paper, the Wigley ship model is taken as the research object and a mechanism model of the ship motion is established. CFD(Computational Fluid Dynamics) method and DGT (Dynamic Grid Technology) are used to analyze the course of a ship motion with high-order stoke wave which can replace sine wave as the input wave. The results show that high-order stoke wave is asymmetrically distributed and the ship motion can be studied by using CFD method and DGT based on high-order stoke wave. The simulation provides a foundation on ship motion in six-degree-of-freedom waves and on the ship's resistance study.
{"title":"Simulations and Analysis on the Course of a Ship Motion Based on CFD and DGT with High-order Stoke Wave","authors":"Yuanyuan Xu, Caixia Lv","doi":"10.1109/YAC.2019.8787644","DOIUrl":"https://doi.org/10.1109/YAC.2019.8787644","url":null,"abstract":"An offshore ship suffers from unmatched disturbance caused by sea waves and currents, which may cause ship overturn accidents and need to be studied. In the paper, the Wigley ship model is taken as the research object and a mechanism model of the ship motion is established. CFD(Computational Fluid Dynamics) method and DGT (Dynamic Grid Technology) are used to analyze the course of a ship motion with high-order stoke wave which can replace sine wave as the input wave. The results show that high-order stoke wave is asymmetrically distributed and the ship motion can be studied by using CFD method and DGT based on high-order stoke wave. The simulation provides a foundation on ship motion in six-degree-of-freedom waves and on the ship's resistance study.","PeriodicalId":6669,"journal":{"name":"2019 34rd Youth Academic Annual Conference of Chinese Association of Automation (YAC)","volume":"61 4 1","pages":"184-188"},"PeriodicalIF":0.0,"publicationDate":"2019-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"83938956","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2019-06-01DOI: 10.1109/YAC.2019.8787722
Jiahui Chen, Ze Zhou, Wenjie Chen, Zhaoshuai Sun, Liyan Zhang
Electric vehicles (EV) are the future direction of automotive development, and dynamic wireless charging (DWC) system can effectively solve the difficulty of charging and improve the deficiency in mileage. Therefore, the technology of DWC is an ideal choice for charging electric vehicles. This paper presents the design and analysis of DWC system, and analyses the selection of DC/DC converter and controlled variables. In this study, model predictive control (MPC) is proposed to control DWC system accurately, and MPC is compared with dual loop PID control. Simulation results demonstrate the correctness and effectiveness of the proposed MPC controller in dynamic wireless charging system.
{"title":"Research on Predictive Control of DC/DC Converter for Dynamic Wireless Charging System","authors":"Jiahui Chen, Ze Zhou, Wenjie Chen, Zhaoshuai Sun, Liyan Zhang","doi":"10.1109/YAC.2019.8787722","DOIUrl":"https://doi.org/10.1109/YAC.2019.8787722","url":null,"abstract":"Electric vehicles (EV) are the future direction of automotive development, and dynamic wireless charging (DWC) system can effectively solve the difficulty of charging and improve the deficiency in mileage. Therefore, the technology of DWC is an ideal choice for charging electric vehicles. This paper presents the design and analysis of DWC system, and analyses the selection of DC/DC converter and controlled variables. In this study, model predictive control (MPC) is proposed to control DWC system accurately, and MPC is compared with dual loop PID control. Simulation results demonstrate the correctness and effectiveness of the proposed MPC controller in dynamic wireless charging system.","PeriodicalId":6669,"journal":{"name":"2019 34rd Youth Academic Annual Conference of Chinese Association of Automation (YAC)","volume":"24 1","pages":"195-199"},"PeriodicalIF":0.0,"publicationDate":"2019-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"88645474","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2019-06-01DOI: 10.1109/YAC.2019.8787646
Jiaqi Luo, Ying Shi, Lingyun Xie
In this paper, simplification method for ship model is proposed. Firstly, sensitivity index with a depressive strategy is introduced to characterize the significance of hydrodynamic coefficients for higher accuracy. Secondly, an unsupervised learning based simplification is proposed and can properly and effectively reduce the hydrodynamic coefficients. Thirdly, open-loop and closed-loop simulation are carried out to verify that simplification. Experiment result shows that clustering are effective in horizontal rotational movement and horizontal zigzag maneuver with the maximum and minimum errors of the motion parameters are 4.75% and 0.24% respectively within acceptable range.
{"title":"An unsupervised learning based simplification on ship motion model and its verification","authors":"Jiaqi Luo, Ying Shi, Lingyun Xie","doi":"10.1109/YAC.2019.8787646","DOIUrl":"https://doi.org/10.1109/YAC.2019.8787646","url":null,"abstract":"In this paper, simplification method for ship model is proposed. Firstly, sensitivity index with a depressive strategy is introduced to characterize the significance of hydrodynamic coefficients for higher accuracy. Secondly, an unsupervised learning based simplification is proposed and can properly and effectively reduce the hydrodynamic coefficients. Thirdly, open-loop and closed-loop simulation are carried out to verify that simplification. Experiment result shows that clustering are effective in horizontal rotational movement and horizontal zigzag maneuver with the maximum and minimum errors of the motion parameters are 4.75% and 0.24% respectively within acceptable range.","PeriodicalId":6669,"journal":{"name":"2019 34rd Youth Academic Annual Conference of Chinese Association of Automation (YAC)","volume":"192 1","pages":"52-57"},"PeriodicalIF":0.0,"publicationDate":"2019-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"77762223","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
In this paper, 2017's hurricane relief in Puerto Rico as the background, a k-means clustering model based on constrained multi-objective multi-sourced weber problem is introduced to determine the optimal locations of emergency material centers, which minimizes distance between road points and emergency supplies centers and weighted distance between hospitals and emergency supplies centers. To effectively solve the model aforementioned, a novel imperialist competitive algorithm (ICA) is proposed which compares two solutions with the lexicographical method. Finally, the results of real data are given and show the effectiveness in solving the problem.
{"title":"Emergency Supplies Center Location Clustering Model Based on Imperialist Competitive Algorithm","authors":"Haoran Wang, Zexuan Sun, Chengyang Liao, Wanru Cui, Qingyong Zhang","doi":"10.1109/YAC.2019.8787692","DOIUrl":"https://doi.org/10.1109/YAC.2019.8787692","url":null,"abstract":"In this paper, 2017's hurricane relief in Puerto Rico as the background, a k-means clustering model based on constrained multi-objective multi-sourced weber problem is introduced to determine the optimal locations of emergency material centers, which minimizes distance between road points and emergency supplies centers and weighted distance between hospitals and emergency supplies centers. To effectively solve the model aforementioned, a novel imperialist competitive algorithm (ICA) is proposed which compares two solutions with the lexicographical method. Finally, the results of real data are given and show the effectiveness in solving the problem.","PeriodicalId":6669,"journal":{"name":"2019 34rd Youth Academic Annual Conference of Chinese Association of Automation (YAC)","volume":"430 1","pages":"375-380"},"PeriodicalIF":0.0,"publicationDate":"2019-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"76493482","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2019-06-01DOI: 10.1109/YAC.2019.8787696
Haibin Shi, Z. Xu, Tao Sun, Chuanping Wu
The internal model principle is used to study the tracking control problem of the rotary double inverted pendulum system. According to the dynamic characteristics of the given signal, the servo compensator and the augmented system are constructed. Then, the tracking control problem is transformed into the optimal control problem, and the feedback control law is calculated by the optimal control theory. A reduced-order state observer is established to estimate the state of the controlled signal by the known state vectors. And it reduces the use of detection devices in the system. The simulation results of the rotary double inverted pendulum system show that the upper pendulum angle can follow the given signal variable change without steady error. Meanwhile, the system has good dynamic performance.
{"title":"Double Inverted Pendulum System Control Based on Internal Model Principle","authors":"Haibin Shi, Z. Xu, Tao Sun, Chuanping Wu","doi":"10.1109/YAC.2019.8787696","DOIUrl":"https://doi.org/10.1109/YAC.2019.8787696","url":null,"abstract":"The internal model principle is used to study the tracking control problem of the rotary double inverted pendulum system. According to the dynamic characteristics of the given signal, the servo compensator and the augmented system are constructed. Then, the tracking control problem is transformed into the optimal control problem, and the feedback control law is calculated by the optimal control theory. A reduced-order state observer is established to estimate the state of the controlled signal by the known state vectors. And it reduces the use of detection devices in the system. The simulation results of the rotary double inverted pendulum system show that the upper pendulum angle can follow the given signal variable change without steady error. Meanwhile, the system has good dynamic performance.","PeriodicalId":6669,"journal":{"name":"2019 34rd Youth Academic Annual Conference of Chinese Association of Automation (YAC)","volume":"26 1","pages":"666-670"},"PeriodicalIF":0.0,"publicationDate":"2019-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"75704144","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2019-06-01DOI: 10.1109/YAC.2019.8787649
Kangyu Gao, Qingyong Zhang, Luyang Yu, Lutong Huo
We proposed a new type of light-weight convolutional neural network MRINet for low computing power requirements. This model is applied with strategies including depthwise separable convolution, Channel pruning and ELU activation. It greatly reduces the amount of calculation while getting high accuracy. MRINet can complete the training process and application on mobile phones and other mobile platforms. By integrating into the corresponding application, which can solve many real problems including self-medication. By training on the ISIC dataset, as compared to MobileNet, we improved training speed by 23%, while accuracy is increased 3.3%.
{"title":"A Muti-branch Convolutional Netural Network for Mobile Platform","authors":"Kangyu Gao, Qingyong Zhang, Luyang Yu, Lutong Huo","doi":"10.1109/YAC.2019.8787649","DOIUrl":"https://doi.org/10.1109/YAC.2019.8787649","url":null,"abstract":"We proposed a new type of light-weight convolutional neural network MRINet for low computing power requirements. This model is applied with strategies including depthwise separable convolution, Channel pruning and ELU activation. It greatly reduces the amount of calculation while getting high accuracy. MRINet can complete the training process and application on mobile phones and other mobile platforms. By integrating into the corresponding application, which can solve many real problems including self-medication. By training on the ISIC dataset, as compared to MobileNet, we improved training speed by 23%, while accuracy is increased 3.3%.","PeriodicalId":6669,"journal":{"name":"2019 34rd Youth Academic Annual Conference of Chinese Association of Automation (YAC)","volume":"542 1","pages":"357-360"},"PeriodicalIF":0.0,"publicationDate":"2019-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"77919960","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2019-06-01DOI: 10.1109/YAC.2019.8787704
Shiyuan Jia, Shenpei Zhou, Zhiyong Li
The elderly have poor rehabilitation ability, and are prone to complications after falling, which seriously endangers the physical condition of the elderly. Therefore, it is very important to study the balance ability of the elderly and its influencing factors. We constructed a mathematical model to analyze the data related to the walking of the elderly and proposed suggestions for improving stability. Considering the three aspects of gait, center of gravity and motion, 25 eigenvalues were extracted to evaluate the body balance of the elderly. Then, we constructed a balanced risk assessment system for the elderly. The entropy method is used to calculate the information content of eigenvalues as the basis of weighting. We added the elderly BMI and disease history to the risk assessment system for simulation calculation. Borrowing economic thoughts, constructing a random frontier model based on whether the elderly fall as a dependent variable, comparatively analyzing by gender, and studying the influence of gait and exercise on the balance ability of the elderly. We found that gait and center of gravity have a greater impact on the balance of the elderly, BMI has less influence, and the balance between male and female is quite different. Finally, the model is tested. We analyze the sensitivity of each index of the risk assessment system. The results are in line with expectations and the model has certain applicability.
{"title":"Principal component analysis to guide the reduce the risk of fall","authors":"Shiyuan Jia, Shenpei Zhou, Zhiyong Li","doi":"10.1109/YAC.2019.8787704","DOIUrl":"https://doi.org/10.1109/YAC.2019.8787704","url":null,"abstract":"The elderly have poor rehabilitation ability, and are prone to complications after falling, which seriously endangers the physical condition of the elderly. Therefore, it is very important to study the balance ability of the elderly and its influencing factors. We constructed a mathematical model to analyze the data related to the walking of the elderly and proposed suggestions for improving stability. Considering the three aspects of gait, center of gravity and motion, 25 eigenvalues were extracted to evaluate the body balance of the elderly. Then, we constructed a balanced risk assessment system for the elderly. The entropy method is used to calculate the information content of eigenvalues as the basis of weighting. We added the elderly BMI and disease history to the risk assessment system for simulation calculation. Borrowing economic thoughts, constructing a random frontier model based on whether the elderly fall as a dependent variable, comparatively analyzing by gender, and studying the influence of gait and exercise on the balance ability of the elderly. We found that gait and center of gravity have a greater impact on the balance of the elderly, BMI has less influence, and the balance between male and female is quite different. Finally, the model is tested. We analyze the sensitivity of each index of the risk assessment system. The results are in line with expectations and the model has certain applicability.","PeriodicalId":6669,"journal":{"name":"2019 34rd Youth Academic Annual Conference of Chinese Association of Automation (YAC)","volume":"5 1","pages":"342-347"},"PeriodicalIF":0.0,"publicationDate":"2019-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"73619848","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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