2021 IEEE 3rd Eurasia Conference on IOT, Communication and Engineering (ECICE)最新文献_第2页

Homomorphic Filtering and MAD Filtering Based Speckle Removal in Ultrasound Images 基于同态滤波和MAD滤波的超声图像斑点去除

2021 IEEE 3rd Eurasia Conference on IOT, Communication and Engineering (ECICE) Pub Date : 2021-10-29 DOI: 10.1109/ECICE52819.2021.9645647

Shuai Feng, Shigang Wang, Xueshan Gao

引用次数: 0

Laser Ablation Quality Study of Silicon Nitride during CMOS-MEMS post Processing by Using Machine Learning and Data Science 基于机器学习和数据科学的CMOS-MEMS后处理过程中氮化硅激光烧蚀质量研究

2021 IEEE 3rd Eurasia Conference on IOT, Communication and Engineering (ECICE) Pub Date : 2021-10-29 DOI: 10.1109/ECICE52819.2021.9645695

Chien-Chung Tsai, Chih-Chun Chan

{"title":"Laser Ablation Quality Study of Silicon Nitride during CMOS-MEMS post Processing by Using Machine Learning and Data Science","authors":"Chien-Chung Tsai, Chih-Chun Chan","doi":"10.1109/ECICE52819.2021.9645695","DOIUrl":"https://doi.org/10.1109/ECICE52819.2021.9645695","url":null,"abstract":"Laser processing could be applied to the process of CMOS-MEMS fabrication. The TSMC/TSRI D35 common process is an example in this study. There are different laser wavelengths, laser energy, interval time, and light targets for different material fabrication. This study proposes the laser ablation quality of silicon nitride as the measurement of laser processing. According to the experimental results, the best quality of the green laser is 93% while the energy is 0.228 mJ, the interval time is 60 s and the light target size is 30 x 30 μm2. On the other hand, the best quality of the ultraviolet ablation is 92% which is generated at an energy of 0.48 mJ, an interval of 30 s, and an aperture size of 30 x 30 μm2. As the energy increases, the ablation quality becomes large. The results demonstrate the Fraunhofer diffraction is a dominant role in this study of laser ablation quality. This study simultaneously investigates the ablation phenomenon of microfabrication in green laser applied to CMOS-MEMS components by machine learning and data science. That proposes the approaching methodology for the optimal operation of the laser processing. The experimental results show that the pulse interval time is 90 s and the energy density is 57 J/m2, which has a good quality of ablation. Data science and machine learning successfully predict the quality level of ablation by using the random forest algorithm to achieve a mean accuracy of 98.04%.","PeriodicalId":176225,"journal":{"name":"2021 IEEE 3rd Eurasia Conference on IOT, Communication and Engineering (ECICE)","volume":"118 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":"123577002","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

Utilizing Machine Learning to Improve the Distance Information from Depth Camera 利用机器学习改进深度相机的距离信息

2021 IEEE 3rd Eurasia Conference on IOT, Communication and Engineering (ECICE) Pub Date : 2021-10-29 DOI: 10.1109/ECICE52819.2021.9645639

Che-Cheng Chang, Kuan-Chang Shih, Hung-Che Ting, Yi-Syuan Su

引用次数: 2

Omnidirectional Platform for Autonomous Mobile Industrial Robot 自主移动工业机器人全向平台

2021 IEEE 3rd Eurasia Conference on IOT, Communication and Engineering (ECICE) Pub Date : 2021-10-29 DOI: 10.1109/ECICE52819.2021.9645621

Badereddine Fares, Haïfa Souifi, M. Ghribi, Y. Bouslimani

{"title":"Omnidirectional Platform for Autonomous Mobile Industrial Robot","authors":"Badereddine Fares, Haïfa Souifi, M. Ghribi, Y. Bouslimani","doi":"10.1109/ECICE52819.2021.9645621","DOIUrl":"https://doi.org/10.1109/ECICE52819.2021.9645621","url":null,"abstract":"Omnidirectional mobile platforms are holonomic robots that can independently and simultaneously perform translational and rotational motions. In order to develop an autonomous omnidirectional mobile manipulator, this paper presents a platform based on four mecanum wheels. It has a higher carrying capacity and mobility than a standard four-wheel platform. The used manipulator is a Fanuc LR Mate 200 iD/7l robot with an R-30iB Mate Plus Controller. The heavy weight of the industrial arm and the controller makes collision-free navigation a challenge. To navigate with this robot in an unknown semi-structured indoor environment, a Hokuyo 2D Lidar and a Realsense D435i camera have been used. The Central Processing Unit is an Nvidia Jetson TX2 running Ubuntu Linux on which ROS (robot operating system) was installed. The robot is capable of autonomously performing Simultaneous Localization and Mapping (SLAM), navigation, obstacle detection, and object recognition, vision-guided robot motions. A map of our workplace was generated. Most mobile robot motion control approaches rely on dynamic or kinematic models. The study also covers mathematical modeling of the four-wheeled omnidirectional platform that leads to the robot's kinematics. The simulations were carried out using MATLAB to establish and verify the kinematic model of the omnidirectional platform. The robot was controlled to follow curves with a constant translation velocity of 1m/s.","PeriodicalId":176225,"journal":{"name":"2021 IEEE 3rd Eurasia Conference on IOT, Communication and Engineering (ECICE)","volume":"33 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":"124010104","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

System Integration of Remote Sensing and Industrial Control with IoT Technologies for Water Purification Plant 遥感和工业控制与物联网技术在净水厂的系统集成

2021 IEEE 3rd Eurasia Conference on IOT, Communication and Engineering (ECICE) Pub Date : 2021-10-29 DOI: 10.1109/ECICE52819.2021.9645721

Aishwarya Gowda A G, Hui-Kai Su, W. Kuo

{"title":"System Integration of Remote Sensing and Industrial Control with IoT Technologies for Water Purification Plant","authors":"Aishwarya Gowda A G, Hui-Kai Su, W. Kuo","doi":"10.1109/ECICE52819.2021.9645721","DOIUrl":"https://doi.org/10.1109/ECICE52819.2021.9645721","url":null,"abstract":"The rapid evolution in science and technology, has lead the vigorous development of the technology industry. This development witnessed the changes of the Earth's climatic conditions, dwindle of precious natural resources. Among which, water is an indispensable resource for our human life. But, there are many factors like pollution or loss of resources which result in making water as an important resource for usage. Whereas, the current monitoring system has various problems as most of the people are not very familiar with the proper usage of water and the methods to handle water. Hence, addressing this issue our solution aims in monitoring and controlling water resources by our hardware and software system. This system is combined with a database, PAC (Programmable Automation Controllers) and different types of sensors. This blend of software and hardware initially supports the operators to predict and judge each value accurately. This ensures to make the best processing method and improves work efficiency in short period. Meanwhile, it helps and can reduce the workload drastically helping each process flow smoother and with better results. This solution also can be used to reduce the loss of water resource which occurs due to mis-operation by operators. In addition, this system ensures an ease environment for managers and operators to handle the complete process with confidence. Use of this system can help a huge group of people to achieve a win-win situation with convenient management and easy operation.","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":"128686691","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

Adaptive Pooling for Convolutional Neural Networks with Arbitrary Input Sizes 任意输入大小卷积神经网络的自适应池化

2021 IEEE 3rd Eurasia Conference on IOT, Communication and Engineering (ECICE) Pub Date : 2021-10-29 DOI: 10.1109/ECICE52819.2021.9645730

H. Hsin, C. Su

引用次数: 0

Study on Performance Evaluation of Fresh Agricultural Supply Chain Based on BP Neural Network 基于BP神经网络的生鲜农产品供应链绩效评价研究

2021 IEEE 3rd Eurasia Conference on IOT, Communication and Engineering (ECICE) Pub Date : 2021-10-29 DOI: 10.1109/ECICE52819.2021.9645726

Kaisen Yang, Zhengyan Guo

{"title":"Study on Performance Evaluation of Fresh Agricultural Supply Chain Based on BP Neural Network","authors":"Kaisen Yang, Zhengyan Guo","doi":"10.1109/ECICE52819.2021.9645726","DOIUrl":"https://doi.org/10.1109/ECICE52819.2021.9645726","url":null,"abstract":"A BP neural network is an algorithm for forward multi-layer backpropagation learning. Its basic idea is forward propagation and error backpropagation in the learning process. At present, the most common result of a BP neural network is a three-layer structure. In view of the performance evaluation of fresh agricultural supply chain, this paper proposes a performance evaluation method based on BP neural network. First, three first-level indicators and six more detailed second-level indicators are set up according to the characteristics of the data, and the BP neural network is trained and tested by cross-checking method. The BP neural network after training was evaluated by using the confusion matrix, accuracy and recall rate, MMC, ROC curve, and AUC value. It was found that in the confusion matrix output by BP neural network, TP values of the three first-level indicators were all large, while the accuracy and recall rate, MMC, ROC curve, and AUC values were all high. The values of 0.958, 0.678, and 0.588 respectively indicate that BPNN has good reliability and prediction accuracy. This paper further compares the BP neural network, decision tree model, SVM, and various evaluation results of ARIMA. The BP neural network is second only to ARIMA in accuracy and recall rate, and improves MCC and AUC values by 10.54% and 14.05% compared with ARIMA, with the best comprehensive performance. Meanwhile, with the increase of data volume, compared with the other three models, BP neural network has more advantages on AUC and has stronger evaluation authenticity and reliability in the big data environment.","PeriodicalId":176225,"journal":{"name":"2021 IEEE 3rd Eurasia Conference on IOT, Communication and Engineering (ECICE)","volume":"47 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":"129313206","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

Edge Extraction of Ancient Books Based on Freeman Chain Code 基于Freeman链码的古籍边缘提取

2021 IEEE 3rd Eurasia Conference on IOT, Communication and Engineering (ECICE) Pub Date : 2021-10-29 DOI: 10.1109/ECICE52819.2021.9645594

Yuting He, Shigang Wang, Xueshan Gao

引用次数: 1

Using Text Semantic Mining to Calculate Emotional Heat of Social Network Nodes 基于文本语义挖掘的社交网络节点情感热计算

2021 IEEE 3rd Eurasia Conference on IOT, Communication and Engineering (ECICE) Pub Date : 2021-10-29 DOI: 10.1109/ECICE52819.2021.9645671

Juan Luo, Jianying Xiong

引用次数: 0

Numerical Study of the Effect of Furnace Geometry on the Catalyst Tube Lifetime of a Steam Methane Reformer 炉形对蒸汽甲烷重整器催化管寿命影响的数值研究

2021 IEEE 3rd Eurasia Conference on IOT, Communication and Engineering (ECICE) Pub Date : 2021-10-29 DOI: 10.1109/ECICE52819.2021.9645610

C. Yeh, Tun-Chih Yang, K. Lai, Cheng-Yeh Ke

{"title":"Numerical Study of the Effect of Furnace Geometry on the Catalyst Tube Lifetime of a Steam Methane Reformer","authors":"C. Yeh, Tun-Chih Yang, K. Lai, Cheng-Yeh Ke","doi":"10.1109/ECICE52819.2021.9645610","DOIUrl":"https://doi.org/10.1109/ECICE52819.2021.9645610","url":null,"abstract":"The catalyst tube lifetime of a practical steam methane reformer is analyzed numerically in this paper. The effect of reformer geometry on the flow development, chemical reaction, and catalyst tube lifetime is discussed. The results of this study reveal that the catalyst tubes in the downstream areas of the reformer have longer lifetimes while those in the upstream areas have shorter lifetimes. In most areas of the reformer, as the shifted height of the reformer roof increases, the temperatures and pressures reduce while the catalyst tube lifetime increases. However, near the sidewalls, as the shifted height of the reformer roof increases, the temperatures and pressures may increase while the catalyst tube lifetime may reduce. Nevertheless, from an overall view, raising the reformer roof reduces the temperatures and pressures and increases the catalyst tube lifetime. Finally, the shift of the reformer roof has a minor effect on the hydrogen yields at the catalyst tube outlets, although a careful observation reveals a similar trend to the temperature distributions.","PeriodicalId":176225,"journal":{"name":"2021 IEEE 3rd Eurasia Conference on IOT, Communication and Engineering (ECICE)","volume":"31 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":"126728469","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