{"title":"Dynamics modeling and simulation analysis of 6-DOF intelligent cooperative robot","authors":"Hantao Li, Yipin Wan, Xiaobin Chen, Jie Jia","doi":"10.1117/12.2655304","DOIUrl":"https://doi.org/10.1117/12.2655304","url":null,"abstract":"In order to study the influence of flexible components on the motion characteristics of a series 6-DOF intelligent cooperative robot, the rigid joints and links of the robot are flexibly replaced. A multi flexible body dynamic model reflecting the mechanical characteristics of the robot is established by using the Lagrange equation method. Based on ADAMS and ANSYS software, virtual prototype technology is used to realize the simulation analysis of robot dynamics. The change rules of position, velocity and acceleration of each joint under different working conditions were obtained, as well as the time history of driving force and driving torque of joint 1 and joint 2 with large force. The coupling characteristics of the mechanism under different motion states are analyzed and compared with the fully rigid series robot. The results show that the motion trends of the end-effectors of the two models are consistent, but the flexibility of the components has a great influence on the positioning accuracy of the end-effector. The joint and connecting rod with large stress were obtained by multi-flexible body dynamic simulation, which provides a reference for the structural strength improvement and lightweight design of the working device. Therefore, the establishment of a correct rigid-flexible coupling dynamics model has a certain guiding significance.","PeriodicalId":312603,"journal":{"name":"Conference on Intelligent and Human-Computer Interaction Technology","volume":"142 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116582394","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":"Brushless DC motor speed control system employing fuzzy neural network PID base on the optimized whale algorithm","authors":"Yunlei Zhu, Ji Tian, Kexin Zhang, Lei Wang","doi":"10.1117/12.2655277","DOIUrl":"https://doi.org/10.1117/12.2655277","url":null,"abstract":"The classical PID controller, which serves for controlling the revolutions per minute of brushless direct current motor (BLDCM), has limitations of long settle time, slow response speed and violent fluctuation. To remedy this matter occurred above, by virtue of the whale optimization algorithm WOA and the fuzzy neural network PID controller modeled on the elementary structure of BLDCM, a modified approach to adjust revolutions per minute is raised in our paper. At the outset, under the action of the nonlinear approximation of fuzzy neural network, the uncertain coefficients of PID controller are timely altered. Then, considering that the initial values of fuzzy neural network are stochastic, the WOA method is used to prepare the parameters for neural network and it is further refined via the Lévy flight perturbation method. Eventually, there are several simulations to test this controller, and results demonstrate that the enhanced controller put forward by us is able to have good effects on the properties of system accuracy, response speed and anti-disturbance capability.","PeriodicalId":312603,"journal":{"name":"Conference on Intelligent and Human-Computer Interaction Technology","volume":"47 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132161958","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":"Analysis of FIR filter and IIR filter for human speech signal different effects","authors":"Heng Zhao","doi":"10.1117/12.2655535","DOIUrl":"https://doi.org/10.1117/12.2655535","url":null,"abstract":"Digital filter is an important technique for human speech filter. Different digital filters produce different filtering effects. In this paper, by using MATLAB programming tools to design a variety of FIR digital filters and IIR digital filters, by observing the effect of the voice signal in different filters after adding noise. It is concluded that IIR filter has less computation and infinite impulse response to the human speech signal, and it has good stability and is clearer than FIR digital filter after many auditions. Under the same technical index, IIR filter can meet some requirements of the index with fewer orders than the FIR filter because of the feedback of output to input. After understanding the advantages and disadvantages of different filters, it is necessary to use a more appropriate filter for the variety of human speech.","PeriodicalId":312603,"journal":{"name":"Conference on Intelligent and Human-Computer Interaction Technology","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131767577","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 data display based on mobile handheld instrument interface","authors":"Yujia Jia","doi":"10.1117/12.2655427","DOIUrl":"https://doi.org/10.1117/12.2655427","url":null,"abstract":"The existing mobile handheld instrument focuses more on detection technology research, ignoring the interface interaction principles. In this context, improving the interface reading efficiency of such handheld instruments is essential to improve the user experience. Based on several common charts, this paper conducts interactive analysis through eye movement experiments to find a visual chart that is easy to read. Take the element analyzer as the research object to conduct case studies. Firstly, four types of commonly used chart structures are screened by investigating the presentation methods of existing mobile device charts. Then, through eye movement experiments, extract the eye movement indicators of 4 types of charts to verify the legibility. Finally, combined with the instrument operation background, the most suitable chart scheme is selected and refined. This paper analyzes the legibility of the existing mobile handheld instrument's interface through eye movement experiments, and finds a visual chart that is easy to read in usage scenarios, which can improve the data reading efficiency of operators in the work process and the operability of the equipment.","PeriodicalId":312603,"journal":{"name":"Conference on Intelligent and Human-Computer Interaction Technology","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125073156","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 prediction model of second-hand house price","authors":"Haoran Yin","doi":"10.1117/12.2655351","DOIUrl":"https://doi.org/10.1117/12.2655351","url":null,"abstract":"With the rapid development of China's economy, the real estate industry has become an important topic of livelihood issues in China in recent years. This paper mainly takes the second-hand house price in Beijing as the data source, analyzes the status quo of the second-hand house price in each district, and studies the housing price prediction problem according to the properties of the second-hand house in the region, floor, year, layout and so on. In this paper, the housing price is predicted by linear regression model and decision tree regression model respectively, and the prediction results are scored by R2_Scroe scoring method, and the results are 0.66 and 0.79 respectively. Experimental results show that the prediction effect of decision tree regression model is better than that of linear regression model.","PeriodicalId":312603,"journal":{"name":"Conference on Intelligent and Human-Computer Interaction Technology","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129011596","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":"Progress of DBS devices in treating essential tremor with self-adaptation function","authors":"Xiangyu Mu","doi":"10.1117/12.2655505","DOIUrl":"https://doi.org/10.1117/12.2655505","url":null,"abstract":"Nowadays, Deep Brain Stimulation (DBS) has been used in the surgical treatment of various neurological diseases, such as Essential Tremor (ET). For severe cases, surgical treatment with DBS can suppress the disease better than drug therapy. However, existing DBS devices require the physician to manually set the parameters frequently to achieve the desired therapeutic effect. In this case, adaptive DBS devices become a possible solution for this problem. Adaptive DBS equipment still faces some problems, such as the choice of implementation method, data security and how to ensure that it will not cause serious damage to human body in clinical trials. In this paper, three kinds of adaptive DBS are analyzed, including their mechanism and core algorithms. This paper can provide reference for those who study DBS devices, those who study the application of machine learning algorithms to adaptive devices, and those who want to know about adaptive DBS devices.","PeriodicalId":312603,"journal":{"name":"Conference on Intelligent and Human-Computer Interaction Technology","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124474853","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}
Meng-yun S. Liu, Jiyang Dai, Jin Ying, Liang Lu, Guang-jian Tian, Qi Tang
{"title":"Multi-UAV coordinated track planning method based on MSISOS algorithm","authors":"Meng-yun S. Liu, Jiyang Dai, Jin Ying, Liang Lu, Guang-jian Tian, Qi Tang","doi":"10.1117/12.2655678","DOIUrl":"https://doi.org/10.1117/12.2655678","url":null,"abstract":"In order to solve the problem of multi-UAV coordinated track planning in complex battlefield environment, this paper proposes a track planning method based on Multi-Strategy Improvement Symbiotic Organisms Search (MSISOS). Firstly, UAV track planning model is established. Then, the adaptive strategy is adopted in mutualism and commensalism phase, to balance the algorithm’s development and exploration, and the introduction of normal disturbance strategy in parasitism phase effectively avoids precocity. Finally, a distributed multi-UAV collaborative trajectory planning method is designed, which uses MSISOS algorithm to solve track planning problem, and harmonizes time and space constraints through the multi-UAV information interaction layer. The simulation results show that MSISOS algorithm compared with MSASOS, PSO and DE algorithms has the best accuracy and convergence speed, and solves complex multi-dimensional multi-UAV coordinated track planning issues.","PeriodicalId":312603,"journal":{"name":"Conference on Intelligent and Human-Computer Interaction Technology","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126818592","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}
Shaoshun Bian, Xiu-Lin Han, Jiawei Xu, Huan Yang, Yi Shen
{"title":"Layout optimization analysis of connecting rod forging production line based on resource balance analysis","authors":"Shaoshun Bian, Xiu-Lin Han, Jiawei Xu, Huan Yang, Yi Shen","doi":"10.1117/12.2655305","DOIUrl":"https://doi.org/10.1117/12.2655305","url":null,"abstract":"Aiming at the problems of insufficient utilization of production line resources and high equipment waiting time in the process of connecting rod forging, two optimal layout schemes for series and parallel production lines are designed. The calculation shows that the workshop utilization rate of the parallel scheme is 74%, which is slightly better than that of the tandem production line, whose workshop utilization rate is 73%, and it is adopted as the optimized plan. Through the production line resource balance analysis method, the optimized plan is compared with the production line unbalanced loss rate of the original layout and the production line smoothness index. The balance loss rate was reduced from the original 31% to 13%; and the production line smoothness index was reduced from the original 7.19 to 2.37, those show that the optimization scheme was effective.","PeriodicalId":312603,"journal":{"name":"Conference on Intelligent and Human-Computer Interaction Technology","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124402521","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 the application of digital signal processing technology in gas detection","authors":"J. Zhong","doi":"10.1117/12.2655532","DOIUrl":"https://doi.org/10.1117/12.2655532","url":null,"abstract":"In today's information age, digital signal processing technology with a new form of technology has been applied to various fields of society, and with its own significant advantages, in each field has played a powerful role. In order to ensure the air quality of living and working environment, the primary task is to analyze the main pollutants in the air. In addition to traditional chemical monitoring methods, digital signal processing methods are more common to detect pollutants, but filtering technology is needed to overcome the noise interference in the detection process. In this paper, the digital filter technology in digital signal processing is described in detail, and the model of digital signal in gas detection principle is simply abstracted, and the main application of digital signal processing technology in gas detection is described at last. At the same time, the paper analyzes the application of digital signal processing technology in gas detection, hoping to provide some help to the application of this technology and the good detection and treatment of gas pollution. Finally, a signal processing device for differential gas detection and its gas detection system are introduced.","PeriodicalId":312603,"journal":{"name":"Conference on Intelligent and Human-Computer Interaction Technology","volume":"37 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122151197","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":"TensorRT acceleration based on deep learning photoelectric target detection","authors":"Shicheng Zhang, Laixian Zhang, Mingyu Qin, Huichao Guo","doi":"10.1117/12.2655302","DOIUrl":"https://doi.org/10.1117/12.2655302","url":null,"abstract":"One of the important research directions in the field of target detection in computer vision, among which deep learning-based target detection can extract advanced features and has higher detection accuracy than traditional detection algorithms. The inference speed of convolutional neural networks in embedded platforms is low, and the practical application value is low. Therefore, for the background of optoelectronic device detection and camera detection, on the embedded platform NVIDIA Jeston Nano, the ResNet18 convolutional neural network is used to identify the photoelectric target. Use TensorRT to accelerate the process of network model simplification and engine construction, and accelerate the network inference time. Experimental results show that when the input image resolution is 640*480, the inference time of tensorRT technology after running the network on the NVIDIA Jeston Nano device is in the range of 0.04-0.06s, and the single-area photoelectric target detection inference is accelerated by 2.38 times and the multi-area photoelectric target detection inference is accelerated by 2.74 times, which provides support for practical applications.","PeriodicalId":312603,"journal":{"name":"Conference on Intelligent and Human-Computer Interaction Technology","volume":"38 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123072214","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}