{"title":"Current Research, Application and Development of Wall-Climbing Robots","authors":"Luo Jie","doi":"10.1109/MLISE54096.2021.00111","DOIUrl":"https://doi.org/10.1109/MLISE54096.2021.00111","url":null,"abstract":"Mobile robots have developed rapidly in recent years, among which the wall-climbing robot has become one of the hot spots in the development of robotics due to the particularity of its operating environment. This article analyzes the design of existing wall-climbing robots. Combined with the current research status of wall-climbing robots at home and abroad, this paper introduces the robots according to the different adsorption methods and analyzes the technical difficulties in the research and design of wall-climbing robots. It further discusses the direction of improvement and application prospects of wall-climbing robots in the future.","PeriodicalId":430495,"journal":{"name":"2021 International Conference on Machine Learning and Intelligent Systems Engineering (MLISE)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115147249","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}
Qipei Wang, Quanzhou Liu, Xiaoqi Zhang, Z. Li, Shan Lei
{"title":"The Study of Subjective Evaluation Method of ADAS Function Based on Driver Simulator","authors":"Qipei Wang, Quanzhou Liu, Xiaoqi Zhang, Z. Li, Shan Lei","doi":"10.1109/MLISE54096.2021.00103","DOIUrl":"https://doi.org/10.1109/MLISE54096.2021.00103","url":null,"abstract":"The subjective evaluation system of assisted driving technology is relatively simple, the research depth is insufficient, and there is no scientific and effective evaluation system. In this paper, the subjective evaluation method of ADAS function based on driver-in-the-loop is proposed by driving simulator, a typical traffic scene is designed and subjective evaluation research is carried out by combining the simulator of highly restored driving sensation and the simulation platform of high rendering traffic scene reproduction, which effectively reduces the test cost while improving the scientificity, and reliability of subjective evaluation. The weight in the paper is determined by the analytic hierarchy process (AHP), and the collected subjective evaluation data of drivers is transformed into effective data that can be quantitatively evaluated and measured by combining the error theory, data processing theory and relevant knowledge of fuzzy mathematics. Finally, a complete and effective subjective test evaluation system is established.","PeriodicalId":430495,"journal":{"name":"2021 International Conference on Machine Learning and Intelligent Systems Engineering (MLISE)","volume":"40 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124699089","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}
{"title":"Damage detection based on multi-wavelet basis and multi-scale feature fusion","authors":"Liao Xin, Sun Jie, Wang Yuehui, Li Ming","doi":"10.1109/MLISE54096.2021.00044","DOIUrl":"https://doi.org/10.1109/MLISE54096.2021.00044","url":null,"abstract":"Multi-scale decomposition of wavelet packet transform can obtain more detailed time-frequency local characteristics of signals, which has unique advantages in the processing and analysis of both stationary and non-stationary. Therefore, wavelet transform is more and more applied in the field of damage identification, and the selection of medium and small wave base and scale of wavelet packet transform will greatly affect the final results. A damage identification method based on the fusion of multi-wavelet basis and multi-scale features is proposed. By selecting different wavelet basis for the transformation of different scales, the relative energy distributions of noisy signals in different frequency bands are obtained. These relative energy distributions are fused as the feature vectors of the classification algorithm to identify the damage. The results show that this method can effectively improve the accuracy of the classification algorithm.","PeriodicalId":430495,"journal":{"name":"2021 International Conference on Machine Learning and Intelligent Systems Engineering (MLISE)","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123804157","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}
{"title":"Research on Gravity Compensation Method based on Interpolated Gravity Grid Region","authors":"Shiyin Guan, Zhili Zhang, Zhaofa Zhou, Yihao Li","doi":"10.1109/MLISE54096.2021.00041","DOIUrl":"https://doi.org/10.1109/MLISE54096.2021.00041","url":null,"abstract":"With the increase in the accuracy of inertial measurement unit (IMU), the error caused by gravity disturbance has become a key factor restricting the positioning accuracy of strapdown inertial navigation system (SINS). The paper analyses the equation of the gravity disturbance affecting the position accuracy under the static base, which illustrates the necessity of gravity compensation. The gravity grid area with high resolution is calculated by the Eigen-6C4 gravity model and it is refined to compensate by interpolation. Through simulation experiments of six cases, it is proved that the distribution of position error is periodic. Compared with the uncompensated case, the compensation method can greatly improve the positioning accuracy. Compared with the case without interpolation, the interpolation method can further improve the positioning accuracy by refining the gravity field. Among the four interpolation methods, the near-point interpolation method can achieve a smaller positioning error and a more stable error distribution, which provides a reference for the interpolation of the measured gravity field.","PeriodicalId":430495,"journal":{"name":"2021 International Conference on Machine Learning and Intelligent Systems Engineering (MLISE)","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124515202","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}
{"title":"Design and Implementation of High-Performance Software Load Balancer for Cloud Service","authors":"Guo Qiaoyu, He Weizhen, Zeng Wei, Xi Yuqiang","doi":"10.1109/MLISE54096.2021.00038","DOIUrl":"https://doi.org/10.1109/MLISE54096.2021.00038","url":null,"abstract":"With the growth of cloud computing platform scale and the surge of cloud tenant traffic, it will undoubtedly bring huge challenges to the load balancing of cloud service clusters. In order to achieve the load balancing of high concurrent tenant traffic balance to the appropriate service node, the paper proposes a DPDK-based software load balancer to deal with and optimize the traditional software load balancer's low performance and low reliability limitations. We also designed a health check mechanism for cloud computing, which can continuously and stably check the health status of service nodes under continuous overloaded business traffic. The experimental results show that the software load balancer designed in the paper has high performance, high availability, high scalability, and can meet most of the cloud computing service requirements.","PeriodicalId":430495,"journal":{"name":"2021 International Conference on Machine Learning and Intelligent Systems Engineering (MLISE)","volume":"55 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127585894","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}
{"title":"Stability Analysis of Hydrodynamic Journal Bearing with Surface Texture","authors":"Suhua Wang, Q. Wan, Zheng Xiong","doi":"10.1109/MLISE54096.2021.00104","DOIUrl":"https://doi.org/10.1109/MLISE54096.2021.00104","url":null,"abstract":"In order to study the influence of surface texture on the stability of hydrodynamic journal bearing, the Reynolds equation is solved by partial derivative method, the influence of surface texture on the equivalent stiffness, square of whirl frequency ratio and dimensionless critical mass under different cylindrical dimple diameter, depth and area ratio is discussed. The results show that for partial texture along the circumferential direction on the bearing with fixed eccentricity, the dimple depth has much influence on the stability of the bearing. When the dimensionless dimple depth is greater than 10, with the increase of dimple depth, the smaller the dimple diameter is, the larger the dimensionless critical mass is, which is higher than that of untextured bearing. The dimensionless critical mass is highest when the dimple area ratio is 12.56%, but the effect of dimple area ratio on bearing stability is not significant. When the texture area ratio is 12.56%, the dimensionless critical mass is the highest. However, due to the small difference of the improvement, the effect of texture area ratio (> 12.56%) on bearing stability is not significant. The effect of texture parameters on the bearing stability with different width-diameter ratio is various. When the width-diameter ratio is small, the texture will reduce the stability, while for bearings with large width-diameter ratio, the stability can be improved.","PeriodicalId":430495,"journal":{"name":"2021 International Conference on Machine Learning and Intelligent Systems Engineering (MLISE)","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127824341","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}
{"title":"Research and practice of remote monitoring system for road test of intelligent connected vehicle","authors":"Yanyan Han, Xiyu Fang, Kexun He","doi":"10.1109/MLISE54096.2021.00063","DOIUrl":"https://doi.org/10.1109/MLISE54096.2021.00063","url":null,"abstract":"Remote monitoring is an indispensable part for the road test of the intelligent connected vehicle. This paper studies and designs the overall architecture of the remote monitoring system for the road test of the intelligent connected vehicle, expounds the hierarchical model and function description of the system in detail, and finally realizes the design scheme of the system, The real vehicle verification shows that the remote monitoring system can accurately monitor and manage the running state of the intelligent connected vehicle in the actual road test, effectively guarantee the safety and controllability of the intelligent connected vehicle road test, and provide data support for the improvement and optimization of the vehicle.","PeriodicalId":430495,"journal":{"name":"2021 International Conference on Machine Learning and Intelligent Systems Engineering (MLISE)","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124107030","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}
Wu Minqi, He Qiurun, Wan Chenhao, Luo Hongyu, He Gang, Yu Wenxin, Xu Kang
{"title":"A two-way Asymmetric Heartbeat Packet Sending Algorithm for Improving the Stability of Narrow-Band-Internet-of-Things TCP Long Connection with Least Resource Consumption","authors":"Wu Minqi, He Qiurun, Wan Chenhao, Luo Hongyu, He Gang, Yu Wenxin, Xu Kang","doi":"10.1109/MLISE54096.2021.00066","DOIUrl":"https://doi.org/10.1109/MLISE54096.2021.00066","url":null,"abstract":"Recently, Narrow- Band- Internet-of- Things are developing and being utilized in all industrial fields for the purpose of data transmission and equipment monitoring. Due to the existence of middleware such as firewalls, the TCP connection may be accidentally disconnected without a two-way heartbeat package. That means the TCP connection will not be completely disconnected. In this paper, we have improved the traditional heartbeat packet sending algorithm by using an exponential linear algorithm, and we can set the heartbeat rate within a reasonable intervals, which can reduce resource consumption as much as possible.","PeriodicalId":430495,"journal":{"name":"2021 International Conference on Machine Learning and Intelligent Systems Engineering (MLISE)","volume":"55 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116464366","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}
{"title":"Research on Analysis of Clinical Medicine Undergraduates' Scores Based on Data Mining","authors":"Kun Han","doi":"10.1109/MLISE54096.2021.00082","DOIUrl":"https://doi.org/10.1109/MLISE54096.2021.00082","url":null,"abstract":"The study situation of undergraduate clinical medicine students is a matter of high social concern. Whether a student can graduate successfully, and how academic performance during school is directly related to the medical level of the student's hospital in the future. By analyzing the results of professional courses of undergraduates majoring in clinical medicine, this research scientifically predicts the relationship between professional courses and accurately predicts the passing of students' course examinations. This study uses the knowledge discovery (mining) in databases (KDD) data mining process, association rules, cluster analysis, neural network and other methods to analyze the three-year professional course results of the 2016 clinical medicine undergraduates. For students with poor academic performance, the accuracy of predicting the passing of the course test is 88.5%. Through this research, we can have a more comprehensive understanding of the school's curriculum planning and formulate a more scientific plan. At the same time, targeted measures are taken to assist students in different categories of students to help students improve their academic performance and master basic medical knowledge.","PeriodicalId":430495,"journal":{"name":"2021 International Conference on Machine Learning and Intelligent Systems Engineering (MLISE)","volume":"40 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124612201","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}
{"title":"The joint policy of the CBM and inventory-supply policy for the electronical multi-part system","authors":"Huayang Deng, Q. Shi","doi":"10.1109/MLISE54096.2021.00094","DOIUrl":"https://doi.org/10.1109/MLISE54096.2021.00094","url":null,"abstract":"This paper focuses on the joint policy of the CBM (Condition-based Maintenance) and inventory-supply policy for the electronical multi-part system. The CBM policy based on the Wiener-process RUL prediction method was built for the multiple parts. Considering the characteristic of the CBM, we decided the (s, S) policy and combined with the multi-echelon supply policy to build the multi-period joint model. This is based step to the joint optimization.","PeriodicalId":430495,"journal":{"name":"2021 International Conference on Machine Learning and Intelligent Systems Engineering (MLISE)","volume":"43 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127006803","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}