{"title":"The Development and prospection of Automatic Courier sorting robot","authors":"Hanlin Yin","doi":"10.1145/3438872.3439051","DOIUrl":"https://doi.org/10.1145/3438872.3439051","url":null,"abstract":"With the improvement of people's quality of life, as well as the establishment and development of e-commerce platforms, a large number of express orders have been brought. As the rapid growth of express business volume, the demand for express mail sorting efficiency is higher and higher, so the sorting robot emerges as the times require. Based on the development of the domestic sorting robot, this paper reviews the composition of the intelligent sorting system of the most important sorting robot. The functions of the sorting robot, such as automatic pathfinding and intelligent obstacle avoidance, are analyzed. The whole set of intelligent sorting systems is required to reduce errors, speed up efficiency, reduce labor costs, big data storage and other functions, step up to keep pace with the pace of e-commerce development and bring convenience to people's lives.","PeriodicalId":199307,"journal":{"name":"Proceedings of the 2020 2nd International Conference on Robotics, Intelligent Control and Artificial Intelligence","volume":"138 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132373772","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":"Detection for Liver Fibrosis Based on Computer Simulation by Deep Learning","authors":"MingSong He, Hao Yin, Paul Liu, D. Liu","doi":"10.1145/3438872.3439073","DOIUrl":"https://doi.org/10.1145/3438872.3439073","url":null,"abstract":"Liver fiber is an intermediate and reversible link in the process of cirrhosis, early detection and intervention of liver fibrosis is of great significance for the development and prognosis. Ultrasound as a one of the common diagnostic methods for liver fibers has many advantages like convenience, great accuracy and robustness. However, it is difficult to get subjective and uniform diagnoses because of the ultrasound images can be inevitably affected by the device characteristics, the interactions between ultrasound and body tissues, operation approaches and other uncontrollable factors. So we proposed a new liver fibrosis detecting algorithm based on the ultrasound echo amplitude analysis and a deep learning to classify normal and fibrosis tissue in computer simulation data. In order to study the relationship between scatterer density and hepatic fibrosis, we simulated various scatterer density liver fibrosis ultrasound image by creating random scatterer field and convolving with point spread function. Compared with the detection of traditional statistical analysis and parameter imaging, we use the data of echo amplitude distribution and image gray histogram distribution to classify the category of the window by CNN. The result shows that CNN can provide a better performance in classification and prediction than parameter imaging.","PeriodicalId":199307,"journal":{"name":"Proceedings of the 2020 2nd International Conference on Robotics, Intelligent Control and Artificial Intelligence","volume":"88 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131989960","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 Sentiment Classification of Chinese Transition Text","authors":"Zhichao Zhu, Cui Zhu, Wenjun Zhu","doi":"10.1145/3438872.3439081","DOIUrl":"https://doi.org/10.1145/3438872.3439081","url":null,"abstract":"The research on text sentiment classification has been very popular. The main methods include the methods based on rules and lexicons, machine statistical learning, and neural network methods. These methods have achieved great success in text sentiment classification, but there are still many defects. For traditional methods, its versatility is poor, once the text style or format changes significantly, the rules need to be re-established. Although the neural network method is generally applicable, it is not sufficient for the application of language knowledge. In order to solve the above problems, we propose a new model combining the traditional method and neural network method. It combines transition lexicon, stacked BILSTM and attention mechanism, and uses word2vec to initialize word vectors. For sentiment classification, semantic features are necessary, stacked BILSTM can capture contextual semantics multiple times to obtain richer contextual information representation. At the same time, we consider that the polarity of the clauses before and after the transition words may be completely opposite, which will also have a significant impact on the classification results. Therefore, we propose two strategies for transition words. One is to use the transition lexicon to supervise the attention mechanism and make the attention model sensitive to the transition words. The other is to cut the sentence according to the transition words to eliminate the noise of irrelevant items in the sentence. Our method combines the advantages of traditional methods and neural network methods, and makes up for their respective shortcomings. We use the proposed method to conduct a sentimental binary classification experiment on three data sets. The experimental results show that our method is superior than the previous methods.","PeriodicalId":199307,"journal":{"name":"Proceedings of the 2020 2nd International Conference on Robotics, Intelligent Control and Artificial Intelligence","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122202098","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":"Safe and Energy-Saving Smart Street Lights Based on Visual Perception Design","authors":"Yongchao Xiao","doi":"10.1145/3438872.3439070","DOIUrl":"https://doi.org/10.1145/3438872.3439070","url":null,"abstract":"At present, most street lights adopt continuous working methods, fail to adjust the power adaptively according to pedestrian and vehicle flow at night, and lack monitoring and early warning of traffic collision accidents on the road. For this reason, a design scheme of safe and energy-saving street lights based on visual perception is proposed. Through sensor technology and energy-saving technology to complete the adaptive power adjustment function of street lights; Use visual algorithms to control pedestrian and vehicle sensing units, intelligently monitor the occurrence of several collision dangerous accidents, reduce the incidence of traffic accidents, and improve road traffic order.","PeriodicalId":199307,"journal":{"name":"Proceedings of the 2020 2nd International Conference on Robotics, Intelligent Control and Artificial Intelligence","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122587305","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":"A Simplified SVPWM Algorithm with Reducing Switching Losses","authors":"Jiandong Chen, Zhihao Ye, Jing Huang, Nali Fan","doi":"10.1145/3438872.3439078","DOIUrl":"https://doi.org/10.1145/3438872.3439078","url":null,"abstract":"Aiming at the problems that the traditional two-level space vector pulse width modulation algorithm is of complex calculation and high switching losses, a two-level SVPWM algorithm that can reduce the switching losses and simplify the algorithm implementation process is proposed. In 12 areas, the five-segment modulation method is used to keep the high-current phase switching inactive in the switching cycle, so as to reduce the switching losses. The SVPWM modulation time of each phase is directly calculated by using the three-phase voltage, and the unified expression of modulation time of each phase is obtained. Therefore, the new method simplifies the sector judgment and reducing the calculation amount of the algorithm. The correctness and feasibility of the algorithm are proved by simulation.","PeriodicalId":199307,"journal":{"name":"Proceedings of the 2020 2nd International Conference on Robotics, Intelligent Control and Artificial Intelligence","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122764824","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":"Reliability Evaluation Methods of Deep Learning Algorithm in Computer Vision","authors":"Xin Xu, Yan Gao","doi":"10.1145/3438872.3439072","DOIUrl":"https://doi.org/10.1145/3438872.3439072","url":null,"abstract":"With the rapid development of deep learning technology, the application based on deep learning shows explosive growth, especially in the field of computer vision. However, some characteristics of the deep learning algorithm make it face many unexpected threats in actual use. It has become an urgent problem to ensure the reliability of the algorithm. In this paper, we propose a deep learning algorithm reliability evaluation system and corresponding evaluation indicators from the three aspects of data, model, and operating framework, then describe reliability evaluation methods for each specific indicator.","PeriodicalId":199307,"journal":{"name":"Proceedings of the 2020 2nd International Conference on Robotics, Intelligent Control and Artificial Intelligence","volume":"304 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117343979","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":"Construction of Curriculum Knowledge Map based on Ontology","authors":"Pei Pei, Xuejing Ding, Deqing Zhang","doi":"10.1145/3438872.3439091","DOIUrl":"https://doi.org/10.1145/3438872.3439091","url":null,"abstract":"With the rapid development of science and technology, knowledge update is accelerating, which puts forward higher requirements for teachers and students in Colleges and universities, and needs to grasp the latest development trends of curriculum knowledge related fields faster, more comprehensive and more accurate. Many schools have digitized their educational resources. However, the traditional sharing of educational resources lacks a unified knowledge representation structure, which makes the sharing and reuse of learning resources unsatisfactory. Curriculum is the core of school knowledge teaching. It evaluates the curriculum system and discipline system in order to achieve certain teaching objectives. Curriculum knowledge includes explicit knowledge and tacit knowledge. Knowledge map is a kind of model which can describe knowledge in semantic and knowledge level. Its purpose is to acquire, organize and present knowledge in a general and intuitive way, to search and match knowledge quickly, so as to improve the utilization of knowledge by learners and knowledge workers. Curriculum knowledge has obvious ontology characteristics, and there are many inconveniences and shortcomings in the presentation of traditional knowledge map. Using ontology technology to construct curriculum knowledge map can not only reflect the relationship between knowledge modules, but also realize the mining and representation of more knowledge relations and types such as tacit knowledge to a certain extent.","PeriodicalId":199307,"journal":{"name":"Proceedings of the 2020 2nd International Conference on Robotics, Intelligent Control and Artificial Intelligence","volume":"42 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126537050","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":"A new velocity observer model in low-velocity servo systems","authors":"Tian Chen, Pengfei Liu, Wei Qi, Feng Zhang","doi":"10.1145/3438872.3439062","DOIUrl":"https://doi.org/10.1145/3438872.3439062","url":null,"abstract":"Low-velocity servo systems consisting of harmonic reducers can be controlled by using a double velocity controller structure, which needs velocity feedback from both the motor side and load side. To improve the performance of Low-velocity servo systems, this paper propose a new velocity observer model by applying a simple Butterworth filter, which uses an observer in the system for the velocity feedback, building a new velocity observer model to improve the estimation accuracy. Experimental results show that our method is more stable than traditional method, leading to an improved performance.","PeriodicalId":199307,"journal":{"name":"Proceedings of the 2020 2nd International Conference on Robotics, Intelligent Control and Artificial Intelligence","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131276813","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":"Temperature field analysis of hot-rolled steel automatic coding system of robot","authors":"Bian Yan, Yi Dengli, Dong-dong Shan","doi":"10.1145/3438872.3439064","DOIUrl":"https://doi.org/10.1145/3438872.3439064","url":null,"abstract":"High temperature exists in the process of coding robot for hot-rolled steel. This article uses ANSYS for thermal analysis, stress analysis and thermal-stress coupling analysis to solve the high temperature problem of the hot-rolled steel. This article studies the temperature distribution, deformation and stress of the coding robot and ensure the robot to work safely and reliably. Solid Works software is used to build the three-dimensional model of the coding robot, and ANSYS software is used to analyze the coding robot in three positions and postures, also to solve the temperature distribution. Secondly, the position of maximum displacement and maximum stress is found by stress analysis. This article uses ANSYS for modal analysis to solve frequency and mode shape of the coding robot. Finally, the real working condition of the robot system under the simultaneous action of high temperature and load are simulated and changes of stress and displacement in the coupled thermal-stress field are analyzed. The results show that the coding robot meets the requirements of stiffness and strength and it can work normally. In the coupled field, the deformation of the coding robot is slightly smaller than that of the static analysis, as well as the thermal radiation has less influence on the stress of the coding robot.","PeriodicalId":199307,"journal":{"name":"Proceedings of the 2020 2nd International Conference on Robotics, Intelligent Control and Artificial Intelligence","volume":"122 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131402644","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":"Hilbert Transform Based On L1 Minimization","authors":"Shuang Li","doi":"10.1145/3438872.3439092","DOIUrl":"https://doi.org/10.1145/3438872.3439092","url":null,"abstract":"We present a new method in this paper for computing Hilbert transform, which is based on l1 minimization by using Iteratively Reweighted Least Squares (IRLS) algorithm and shifted Cauchy kernels. Our study originates from the AFD algorithm for sparse representations of analytical signals and identification of transfer functions of FIR models. We also give two examples to illustrate the idea.","PeriodicalId":199307,"journal":{"name":"Proceedings of the 2020 2nd International Conference on Robotics, Intelligent Control and Artificial Intelligence","volume":"33 3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116742899","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}