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2021 IEEE 3rd Eurasia Conference on IOT, Communication and Engineering (ECICE)最新文献

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Research of LSTM-RNN Model and Its Application Evaluation on Agricultural Products Circulation LSTM-RNN模型及其在农产品流通中的应用评价研究
2021 IEEE 3rd Eurasia Conference on IOT, Communication and Engineering (ECICE) Pub Date : 2021-10-29 DOI: 10.1109/ECICE52819.2021.9645687
Birong Ren, Xiangyu Xu, Hongshen Yu
{"title":"Research of LSTM-RNN Model and Its Application Evaluation on Agricultural Products Circulation","authors":"Birong Ren, Xiangyu Xu, Hongshen Yu","doi":"10.1109/ECICE52819.2021.9645687","DOIUrl":"https://doi.org/10.1109/ECICE52819.2021.9645687","url":null,"abstract":"Under the background of big data, the traditional time series model can not meet the needs of people to predict the circulation supply chain of agricultural products. The artificial neural network has been widely used in the field of agricultural products prediction with strong nonlinear mapping ability. In this paper, LSTM-RNN neural network model is used to analyze the performance evaluation system of agricultural products circulation supply chain centered on supermarkets. Considering the financial situation, operation ability, growth ability, and customer satisfaction of agricultural products circulation supply chain, the corresponding evaluation index system is established and compared with the traditional BP neural network. It is proved that the LSTM-RNN neural network evaluation method is completely feasible and accurate for the performance evaluation of the 'agriculture-supermarket docking ' circulation supply chain.","PeriodicalId":176225,"journal":{"name":"2021 IEEE 3rd Eurasia Conference on IOT, Communication and Engineering (ECICE)","volume":"34 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133177667","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}
引用次数: 2
Influence of Programming Robot Learning Mode Based on Conceptual Mapping on College Students' Computational Thinking 基于概念映射的编程机器人学习模式对大学生计算思维的影响
2021 IEEE 3rd Eurasia Conference on IOT, Communication and Engineering (ECICE) Pub Date : 2021-10-29 DOI: 10.1109/ECICE52819.2021.9645630
Bing-Hong Chen, Ling-Hsiu Chen, Chih-Cheng Chen, Chih-Hung Chen
{"title":"Influence of Programming Robot Learning Mode Based on Conceptual Mapping on College Students' Computational Thinking","authors":"Bing-Hong Chen, Ling-Hsiu Chen, Chih-Cheng Chen, Chih-Hung Chen","doi":"10.1109/ECICE52819.2021.9645630","DOIUrl":"https://doi.org/10.1109/ECICE52819.2021.9645630","url":null,"abstract":"As the information age has progressed, computational thinking ability to solve problems has become an indispensable way of life in life. Many scholars believe that the process of solving problems will be more logical if they have computational thinking ability. At the same time, scholars believe that a good learning method improves learners' intrinsic motivation. Therefore, in this research, we try to use conceptual mapping so that students can construct knowledge when composing their own images, as the focus of this learning model and computational thinking is the thinking process and the two coincide. This research intends to introduce the traditional programming robot course into conceptual mapping and measure whether there are differences in computational thinking tendencies, problem-solving tendencies, and intrinsic motivations between students who use conceptual mapping and those who do not use it. The students in the experimental group with conceptual mapping activities developed computational thinking skills during the program robotics course. The students in the control group first watched the computational thinking explanation video to explain the computational thinking skills to the students, and then taught in the traditional programming robotics course.","PeriodicalId":176225,"journal":{"name":"2021 IEEE 3rd Eurasia Conference on IOT, Communication and Engineering (ECICE)","volume":"197 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134407280","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}
引用次数: 0
Method to Enhance the Induction Efficiency of Wireless Charging for Machine Tools Optic Spindle Precision Tester 提高机床光主轴精度测试仪无线充电感应效率的方法
2021 IEEE 3rd Eurasia Conference on IOT, Communication and Engineering (ECICE) Pub Date : 2021-10-29 DOI: 10.1109/ECICE52819.2021.9645593
Chien-Chang Chen, Yu-Chi Liu
{"title":"Method to Enhance the Induction Efficiency of Wireless Charging for Machine Tools Optic Spindle Precision Tester","authors":"Chien-Chang Chen, Yu-Chi Liu","doi":"10.1109/ECICE52819.2021.9645593","DOIUrl":"https://doi.org/10.1109/ECICE52819.2021.9645593","url":null,"abstract":"The study provides a solution for the optic spindle precision tester Alpha One (α1) available on the market. If the lithium battery is used as the power source and it takes a long time to measure the data from the spindle of the machine tool and calibrate the spindle of the machine tool at the same time, the power supply system becomes having a risk of power failure during measurement and cause calibration errors. Therefore, the study developed the wireless charging system as the power supply system of α1 to reduce the power failure of the power system and the time cost of replacing the battery. The study is going to use two buck circuits supply power to MSP430G2553, OPA, MOSFET, then use OPA amplify the PWM of MSP430G2553 to accomplish MOSFET Vgs(th) starting voltage also isolate signal to avoid noise. In the design of wireless transmission coil and pick-up coil, the coil module can reduce leakage of magnetic flux density and achieve a fast charging effect at an air gap of 3 mm. The simulation of the transmission coil and Pick-up coil have a charging efficiency of over 85 %. Finally, the study will design the required circuit architecture for complete the charging system, verify that the actual charging efficiency matches the simulation, and can be applied to α1.","PeriodicalId":176225,"journal":{"name":"2021 IEEE 3rd Eurasia Conference on IOT, Communication and Engineering (ECICE)","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116505105","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}
引用次数: 0
Sample Size Analysis for the Measurement of Straightness 直线度测量的样本量分析
2021 IEEE 3rd Eurasia Conference on IOT, Communication and Engineering (ECICE) Pub Date : 2021-10-29 DOI: 10.1109/ECICE52819.2021.9645646
Yosefin Antoineta Widya Ninggar, Jyun-Ping Huang
{"title":"Sample Size Analysis for the Measurement of Straightness","authors":"Yosefin Antoineta Widya Ninggar, Jyun-Ping Huang","doi":"10.1109/ECICE52819.2021.9645646","DOIUrl":"https://doi.org/10.1109/ECICE52819.2021.9645646","url":null,"abstract":"Surface quality is important in manufacturing industries, especially in machine part manufacturing. Straightness precision and accuracy come into the limelight because it is also included in the surface quality category. Straightness measurement is a way to check unevenness in the surface and see how precisely straight a surface is. Evaluating straightness can depict tested product surfaces by collecting point clouds data. Collecting more point clouds data can represent the surface of the product precisely, but it consumed more time and cost. On the other hand, collecting a few point clouds data to measure cannot give enough information to represent product surface and the measurement will be not valid. The main goal of this paper is to verify how strong the sample size of measured points can affect the measured value, also search what sample size of data is enough to represent the property of the measured surface.","PeriodicalId":176225,"journal":{"name":"2021 IEEE 3rd Eurasia Conference on IOT, Communication and Engineering (ECICE)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134129008","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}
引用次数: 0
Matching Algorithm for Automated Resource Selection within Assembly Line Design 装配线设计中自动化资源选择的匹配算法
2021 IEEE 3rd Eurasia Conference on IOT, Communication and Engineering (ECICE) Pub Date : 2021-10-29 DOI: 10.1109/ECICE52819.2021.9645668
Daniella Brovkina, O. Riedel
{"title":"Matching Algorithm for Automated Resource Selection within Assembly Line Design","authors":"Daniella Brovkina, O. Riedel","doi":"10.1109/ECICE52819.2021.9645668","DOIUrl":"https://doi.org/10.1109/ECICE52819.2021.9645668","url":null,"abstract":"Despite all the technological progress and digitalization of manufacturing processes, assembly lines and their design are still far from the ideas of the fourth industrial revolution. The assembly planning process has high complexity and is still done manually or only partially automated. One of the biggest challenges is resource selection to automatically identify all the machines that can perform the required assembly process. Based on previous works, this paper presents a matching algorithm for an automated resource selection within a fully automated assembly design platform. This platform uses a set of graph-based models at its core: an assembly feature model for product structure representation, a standardized skill model, and a highly abstract process model. The resulting matching algorithm uses concepts of graph isomorphism and homomorphism for graph analysis to universally identify matches between skill definitions and processes.","PeriodicalId":176225,"journal":{"name":"2021 IEEE 3rd Eurasia Conference on IOT, Communication and Engineering (ECICE)","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133671051","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}
引用次数: 0
Infrared Image Edge Detection Based on Improved Canny Algorithm 基于改进Canny算法的红外图像边缘检测
2021 IEEE 3rd Eurasia Conference on IOT, Communication and Engineering (ECICE) Pub Date : 2021-10-29 DOI: 10.1109/ECICE52819.2021.9645606
Shigang Wang, Xianghua Liao, Guoqiang Wu
{"title":"Infrared Image Edge Detection Based on Improved Canny Algorithm","authors":"Shigang Wang, Xianghua Liao, Guoqiang Wu","doi":"10.1109/ECICE52819.2021.9645606","DOIUrl":"https://doi.org/10.1109/ECICE52819.2021.9645606","url":null,"abstract":"In recent years, the infrared image has been used frequently in medical, military, and industrial fields, and it has become increasingly important to extract a good target contour from the infrared image. Because of the imaging mechanism of the infrared image, there is a lot of noise in the image, which leads to the difficulty of edge extraction. By analyzing the application of the Canny edge detection algorithm in the infrared image, it is found that the detection results have a poor noise filtering effect and the loss of edge details. To solve this problem, this paper improves the Canny algorithm. The Gaussian filter is replaced with the bilateral filter for smoothing noise filtering, and the double global threshold segmentation algorithm is used to select adaptively the high and low thresholds to overcome the error caused by artificial experience setting thresholds. The experimental results show that compared with the traditional Canny algorithm, the improved algorithm can suppress noise better and retain more edge details in the process of infrared image edge detection.","PeriodicalId":176225,"journal":{"name":"2021 IEEE 3rd Eurasia Conference on IOT, Communication and Engineering (ECICE)","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132577390","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}
引用次数: 1
Transmitted Phase Measurement System of A Guided-Mode Resonance Device Based on Interference Fringe Image 基于干涉条纹图像的导模共振装置传输相位测量系统
2021 IEEE 3rd Eurasia Conference on IOT, Communication and Engineering (ECICE) Pub Date : 2021-10-29 DOI: 10.1109/ECICE52819.2021.9645693
Bo Li, W. Kuo
{"title":"Transmitted Phase Measurement System of A Guided-Mode Resonance Device Based on Interference Fringe Image","authors":"Bo Li, W. Kuo","doi":"10.1109/ECICE52819.2021.9645693","DOIUrl":"https://doi.org/10.1109/ECICE52819.2021.9645693","url":null,"abstract":"This paper reports a phase measurement system of a guided-mode resonance (GMR) device to detect the transmitted phase difference between s- and p-polarization of the incident light under the different incident angles. The GMR device is a resonance grating waveguide and can be used as a sensor to detect the refractive index change on the grating surface. The experimental results of the compact common-path phase measurement system are reported. Image processes are applied to the recorded images to obtain the accurate fringe shifting value to convert to phase value. The measurement results are compared with the electro-optic heterodyne interferometer and simulation (Rsoft DiffractMOD) results.","PeriodicalId":176225,"journal":{"name":"2021 IEEE 3rd Eurasia Conference on IOT, Communication and Engineering (ECICE)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129339399","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}
引用次数: 0
Development of an Automatic Electromechanical Device for the Stable Movement of Seedlings Contained in Multicell Trays 多细胞托盘内秧苗稳定运动自动机电装置的研制
2021 IEEE 3rd Eurasia Conference on IOT, Communication and Engineering (ECICE) Pub Date : 2021-10-29 DOI: 10.1109/ECICE52819.2021.9645732
Julio C. Herrera German, Sixto R. Prado Gardini
{"title":"Development of an Automatic Electromechanical Device for the Stable Movement of Seedlings Contained in Multicell Trays","authors":"Julio C. Herrera German, Sixto R. Prado Gardini","doi":"10.1109/ECICE52819.2021.9645732","DOIUrl":"https://doi.org/10.1109/ECICE52819.2021.9645732","url":null,"abstract":"In this work, an electromechanical device is developed to vertically extract seedlings contained in multicell trays. The purpose is to position seedlings and to facilitate the taking of digital images and a safe grasp by a robot system for performing quality control functions of the seedling growth. First, given the technical production requirement, the mechanical structure of the lifting device is designed, simulated, and implemented. Second, the actuators, sensors, and electronics are configured and calibrated in order to obtain stable, continuous, and controllable movements in position and speed. Third, the electromechanical device is integrated into the physical structure and work logic of the robot seedling classifier system. Finally, the result of the long periods of work is presented and discussed.","PeriodicalId":176225,"journal":{"name":"2021 IEEE 3rd Eurasia Conference on IOT, Communication and Engineering (ECICE)","volume":"63 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116635248","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}
引用次数: 0
Financial Risk Assessment Model Based on Stochastic Forest and Decision Tree Hybrid Algorithm 基于随机森林与决策树混合算法的金融风险评估模型
2021 IEEE 3rd Eurasia Conference on IOT, Communication and Engineering (ECICE) Pub Date : 2021-10-29 DOI: 10.1109/ECICE52819.2021.9645735
Peipei Pan
{"title":"Financial Risk Assessment Model Based on Stochastic Forest and Decision Tree Hybrid Algorithm","authors":"Peipei Pan","doi":"10.1109/ECICE52819.2021.9645735","DOIUrl":"https://doi.org/10.1109/ECICE52819.2021.9645735","url":null,"abstract":"The random forest model is a classification model whose underlying meta-classifier is the decision tree of the CART algorithm. The random forest model adopts sampling and putting back, that is, each training set is constructed based on the Bagging method and a new training set is randomly selected without additional pruning. In this paper, a financial risk assessment model based on the random forest is proposed. Firstly, six types of variables are set according to the characteristics of samples, and the outliers are eliminated by using the box graph model. After processing, the samples are modeled and tested by the cross verification method. The model adopts 600 decision trees, and the split node is 4. After calculation, the model precision is 82.27%, the recall rate is 83.55%, and the F1 value is 0.8196, which has good prediction accuracy. By comparing the accuracy of the random forest model with KNN and SVM models, it was found that the accuracy of the random forest model was 9.56% and 3.36% higher than the other two models respectively, which was obviously due to KNN and SVM in the accuracy of processing high-dimension big data samples.","PeriodicalId":176225,"journal":{"name":"2021 IEEE 3rd Eurasia Conference on IOT, Communication and Engineering (ECICE)","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125146012","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}
引用次数: 0
Application of Big Data Technology in Risk Prediction 大数据技术在风险预测中的应用
2021 IEEE 3rd Eurasia Conference on IOT, Communication and Engineering (ECICE) Pub Date : 2021-10-29 DOI: 10.1109/ECICE52819.2021.9645716
Lingling Dong
{"title":"Application of Big Data Technology in Risk Prediction","authors":"Lingling Dong","doi":"10.1109/ECICE52819.2021.9645716","DOIUrl":"https://doi.org/10.1109/ECICE52819.2021.9645716","url":null,"abstract":"Big data analysis is characterized by a large amount of data, fast speed, multiple types, value, and authenticity. It is often applied to the data warehouse, data security, data analysis, data mining, and others. We built a big data-based risk prediction model by collecting the necessary data from 2012 to 2019, analyzed the application status in risk management. We found that the concept and mechanism of management are not reasonable, and put forward corresponding suggestions.","PeriodicalId":176225,"journal":{"name":"2021 IEEE 3rd Eurasia Conference on IOT, Communication and Engineering (ECICE)","volume":"74 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126158701","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}
引用次数: 0
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