2022 IEEE 4th Eurasia Conference on IOT, Communication and Engineering (ECICE)最新文献_第8页

Study on Available Cloud Manufacturing Platforms for Additive Manufacturing Technologies 面向增材制造技术的可用云制造平台研究

2022 IEEE 4th Eurasia Conference on IOT, Communication and Engineering (ECICE) Pub Date : 2022-10-28 DOI: 10.1109/ECICE55674.2022.10042822

Matthias Milan Strljic, Islam Younes, O. Riedel

{"title":"Study on Available Cloud Manufacturing Platforms for Additive Manufacturing Technologies","authors":"Matthias Milan Strljic, Islam Younes, O. Riedel","doi":"10.1109/ECICE55674.2022.10042822","DOIUrl":"https://doi.org/10.1109/ECICE55674.2022.10042822","url":null,"abstract":"Additive manufacturing technologies provided one of the most adaptable manufacturing processes for digital commissioning via the growing cloud manufacturing paradigm. This was facilitated by a low-complexity tool chain for the manufacturing process along the CAD-CAM chain and the process to be executed on the equipment. However, additive processes have grown far beyond the initial FDM processes and also offer more complex materials with unique properties in addition to other processes. The four most common manufacturing processes FDM, SLA, SLS, and SLM were used as a basis, and existing cloud manufacturing platforms offering all these four technologies as a bundle were gathered via a structured survey. Out of 42 platforms, 17 platforms were researched, filtered and analyzed using sample components and a catalog of requirements consisting of five requirement clusters: material, functional scope, final costs, delivery and user-friendliness. The results were weighted for each technology and finally evaluated in an overarching discussion. The achieved scores and the special features of a platform are discussed and a recommendation is made.","PeriodicalId":282635,"journal":{"name":"2022 IEEE 4th Eurasia Conference on IOT, Communication and Engineering (ECICE)","volume":"52 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121506301","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

Atrial Fibrillation Detection Algorithm with Ratio Variation-Based Features 基于比值变化特征的房颤检测算法

2022 IEEE 4th Eurasia Conference on IOT, Communication and Engineering (ECICE) Pub Date : 2022-10-28 DOI: 10.1109/ECICE55674.2022.10042909

Chen-Wei Huang, Jian-Jiun Ding

{"title":"Atrial Fibrillation Detection Algorithm with Ratio Variation-Based Features","authors":"Chen-Wei Huang, Jian-Jiun Ding","doi":"10.1109/ECICE55674.2022.10042909","DOIUrl":"https://doi.org/10.1109/ECICE55674.2022.10042909","url":null,"abstract":"A two-layer analysis approach of the atrial fibrillation episode detection algorithm tested in the MIT-BIH atrial fibrillation database (MIT-BIH AFDB) is proposed in the paper. We use several methodologies, including gradient varying weighted filter, template matched filter, adaptive threshold, and sliding window to accurately extract the locations and amplitudes of P, Q, R, S, and T peaks, P wave width, and QS width in an ECG complex as basic features. On the other hand, most existing works utilize features of RR intervals, a difference of RR intervals, or amplitude of P wave for AF episode detection. In the proposed algorithm, we exploit the ratio concept to transform basic features into ratio-based features with relative relations because those features are much easier to measure the irregularity of RR intervals and P wave absence precisely in atrial fibrillation episodes. Furthermore, we apply the innovative definition of ratio variation-based features to generate robust and qualitative feature extraction sets. Finally, a rule-based ratio variation hypothesis classifier with techniques of weighted coefficient function, product-form score function, Gini index function, and Gini splitting function is adopted. The performance result of the proposed algorithm, trained and tested in the MIT-BIH AF database, achieves an average sensitivity value of 99.272% and an average specificity value of 98.495%, respectively. The accuracy is superior to that of other various AF episode detection algorithms.","PeriodicalId":282635,"journal":{"name":"2022 IEEE 4th Eurasia Conference on IOT, Communication and Engineering (ECICE)","volume":"113 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122422413","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

Multi-Category Fruit Image Classification Based on Interactive Segmentation 基于交互式分割的多类水果图像分类

2022 IEEE 4th Eurasia Conference on IOT, Communication and Engineering (ECICE) Pub Date : 2022-10-28 DOI: 10.1109/ECICE55674.2022.10042838

Lu Yuan, Zhenhai Wang, Hui-Yong Chen, Hongyu Tian, Ying Ren, Xing Wang, P. Li

{"title":"Multi-Category Fruit Image Classification Based on Interactive Segmentation","authors":"Lu Yuan, Zhenhai Wang, Hui-Yong Chen, Hongyu Tian, Ying Ren, Xing Wang, P. Li","doi":"10.1109/ECICE55674.2022.10042838","DOIUrl":"https://doi.org/10.1109/ECICE55674.2022.10042838","url":null,"abstract":"Image classification is the most basic and mature visual task in computer vision. Recently, image classification technology has been widely used. However, a limitation exists in single target recognition and classification tasks for multicategory images. In fruit image classification with complex content of the target image and rich fruit categories, the single use of classification network generation often cannot accurately classify a single-fruit target. To solve this problem, an interactive segmentation-based method for single-category fruit classification in multi-category fruit images is proposed. Herein, an interactive segmentation network and an attention classification network based on deep learning are combined. The interactive segmentation network based on interactive points segments the target to be classified in the image. Then, the classification network identifies and classifies the fruit separately to eliminate the interference of other categories and background information in the image. The classification network is trained on 360 datasets of fruits. The segmentation method before classification can effectively identify single-category fruits in multi-category fruit images. Also, the segmentation and background removal improve the recognition probability of the classification network for a single category of fruit images. Thus, the segmentation method before classification effectively solves single-category fruit classification tasks in multi-category fruit images.","PeriodicalId":282635,"journal":{"name":"2022 IEEE 4th Eurasia Conference on IOT, Communication and Engineering (ECICE)","volume":"38 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124228521","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

Estimating Fish Length Using Mask Region-Based Convolutional Neural Networks 基于掩模区域的卷积神经网络估计鱼的长度

2022 IEEE 4th Eurasia Conference on IOT, Communication and Engineering (ECICE) Pub Date : 2022-10-28 DOI: 10.1109/ECICE55674.2022.10042877

Tzu-Yuan Su, W. W. Hsu, R. Hu, Chia-Chang Tsou, Chun-Han Lin, Wei-Siang Hong

引用次数: 0

Research on Academic Buoyancy Classification Based on Iterative Decision Tree Algorithm 基于迭代决策树算法的学术浮力分类研究

2022 IEEE 4th Eurasia Conference on IOT, Communication and Engineering (ECICE) Pub Date : 2022-10-28 DOI: 10.1109/ECICE55674.2022.10042816

Qiaoling Ye, Ting Zhou, Zheng Huang

引用次数: 0

Research on Risk Quantification Model of P2P Loan Internet Platform P2P贷款互联网平台风险量化模型研究

2022 IEEE 4th Eurasia Conference on IOT, Communication and Engineering (ECICE) Pub Date : 2022-10-28 DOI: 10.1109/ECICE55674.2022.10042863

Fangqiang Zhong, Min Tu, Zhen Wang

引用次数: 0

Task Scheduling with Makespan Minimization for Distributed Machine Learning Ensembles 分布式机器学习集成的最大时间跨度最小化任务调度

2022 IEEE 4th Eurasia Conference on IOT, Communication and Engineering (ECICE) Pub Date : 2022-10-28 DOI: 10.1109/ECICE55674.2022.10042894

Jose Monteiro, Óscar Oliveira, Davide Carneiro

{"title":"Task Scheduling with Makespan Minimization for Distributed Machine Learning Ensembles","authors":"Jose Monteiro, Óscar Oliveira, Davide Carneiro","doi":"10.1109/ECICE55674.2022.10042894","DOIUrl":"https://doi.org/10.1109/ECICE55674.2022.10042894","url":null,"abstract":"Machine Learning problems are becoming increasingly complex, mostly due to the size of datasets. Data are also generated at increasing speed, which requires models to be updated regularly, at a significant computational cost. The project Continuously Evolving Distributed Ensembles proposes the creation of a distributed Machine Learning environment, in which datasets are divided into fixed-size blocks, and stored in a fault-tolerant distributed file system with replication. The base-models of the Ensembles, with a 1:1 relationship with data blocks, are then trained in a distributed manner, according to the principle of data locality. Specifically, the system is able to select which data blocks to use and in which nodes of the cluster, in order to minimize training time. A similar process takes place when making predictions: the best base-models are selected in real-time, according to their predictive performance and to the state of the nodes where they reside. This paper addresses the problem of assigning base model training tasks to cluster nodes, adhering to the principle of data locality. We present an instance generator and three datasets that will provide a means for comparison while studying other solution methods. For testing the system architecture, we solved the datasets with an exact method and the computational results validate, to comply to the project requirements, the need for a more stable and less demanding (in computational resource terms) solution method.","PeriodicalId":282635,"journal":{"name":"2022 IEEE 4th Eurasia Conference on IOT, Communication and Engineering (ECICE)","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114772989","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

Promoting the Application of Lean Automation - Take the Automobile Oil Seal Manufacturing Industry as an Example 推动精益自动化的应用——以汽车油封制造业为例

2022 IEEE 4th Eurasia Conference on IOT, Communication and Engineering (ECICE) Pub Date : 2022-10-28 DOI: 10.1109/ECICE55674.2022.10042872

An-Yuan Chang, Po-Yen Lai

{"title":"Promoting the Application of Lean Automation - Take the Automobile Oil Seal Manufacturing Industry as an Example","authors":"An-Yuan Chang, Po-Yen Lai","doi":"10.1109/ECICE55674.2022.10042872","DOIUrl":"https://doi.org/10.1109/ECICE55674.2022.10042872","url":null,"abstract":"With increasingly sophisticated global manufacturing technology and fierce competition in the international market, the automobile manufacturing industry has entered the stage of internationalization. Therefore, it is necessary to innovate and change, improve production technology continuously, strengthen physical fitness, and maintain competitiveness to survive in the rapidly changing market. Lean Management (LM) and automation equipment are important methods to achieve the above goals. Among them, the use of Automated Guided Vehicles (AGV) has become a crucial equipment in the industry that many manufacturers have widely used. AGVs are unmanned vehicles that can travel according to a program or a predetermined path. AGVs can replace the original logistics, shortens the handling time greatly, and enhances the competitiveness of enterprises.This research focuses on the introduction of LM in an automobile oil seal manufacturing industry in Taiwan and focuses on improving logistics efficiency. It uses Value Stream Mapping (VSM) to discuss the logistics problems existing on the production line and proposes specific improvement plans. This study aims to improve logistics efficiency using AGVs and logistics improvement based on its cooperation with Jidoka. This study proposes a new route transportation method, which uses multiple AGVs to perform transportation tasks at the same time, combined with Karakuri’s base-running path transportation mode of multi-functional racks.The results include (1) proposing a new route transportation method, AGVs combined with Karakuri’s running route transportation mode; (2) saving two full-time logistics manpower; and (3) increasing the Cycle Time (CT) to within 5 minutes.","PeriodicalId":282635,"journal":{"name":"2022 IEEE 4th Eurasia Conference on IOT, Communication and Engineering (ECICE)","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116598249","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

Solving NP-hard Problems with Quantum Annealing 用量子退火方法求解np困难问题

2022 IEEE 4th Eurasia Conference on IOT, Communication and Engineering (ECICE) Pub Date : 2022-10-28 DOI: 10.1109/ECICE55674.2022.10042862

Jehn-Ruey Jiang, Chun-Wei Chu

引用次数: 1

Real-time Toggle Clamping-mechanism Force Measurement and Melt Pressure Variation, and Its Effect on Injection Molded Part Weight 实时切换夹紧机构力测量和熔体压力变化及其对注塑件重量的影响

2022 IEEE 4th Eurasia Conference on IOT, Communication and Engineering (ECICE) Pub Date : 2022-10-28 DOI: 10.1109/ECICE55674.2022.10042867

You-Wen Chung, H. Peng, Fang-Ru Lin, Po-Wei Huang, Diancheng Wu, Yen-Ju Chen

{"title":"Real-time Toggle Clamping-mechanism Force Measurement and Melt Pressure Variation, and Its Effect on Injection Molded Part Weight","authors":"You-Wen Chung, H. Peng, Fang-Ru Lin, Po-Wei Huang, Diancheng Wu, Yen-Ju Chen","doi":"10.1109/ECICE55674.2022.10042867","DOIUrl":"https://doi.org/10.1109/ECICE55674.2022.10042867","url":null,"abstract":"Injection molding is one of the mainstream modern plastic processes. Proper molding methods are used based on the functional requirements of the product. As smart machinery and digital manufacturing evolve constantly, visualization by data acquisition and integration is becoming an inevitable topic, By installing sensors inside the mold, or even extending into the machine bed, variations of cavity pressure as well as relationships between the exertion of toggle mechanism force and product quality are further explored for achieving data integration and parameter adjustments accordingly. Taking a toggle clamping mechanism of an injection molding machine as the sensing subject, we performed analytical research and verified the weight changes of the product. Comparisons were made with sensor data acquired from molds and the tie bar of the molding system at the same time. Also, different parameters were used for researching the injection/packing process and the resulting stress-strain variations on the toggle mechanism (relevant processes include clamping force, injection speed, and packing switch-over position). The results show that(1) changes of sustained force are successfully sensed and monitored via a real-time sensor module installed on the toggle mechanism, (2) alterations of packing switch-over position, packing pressure as well as injection speed correlate to the toggle mechanism force variation and the melt filling pressure inside the cavity, and (3) toggle mechanism force variations observed positively correlate to product appearance and weight.","PeriodicalId":282635,"journal":{"name":"2022 IEEE 4th Eurasia Conference on IOT, Communication and Engineering (ECICE)","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122705077","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