2019 24th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA)最新文献_第7页

Domain-based Attack Models in Building Automation Systems 楼宇自动化系统中基于域的攻击模型

2019 24th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA) Pub Date : 2019-09-01 DOI: 10.1109/ETFA.2019.8869477

Caezarina Marie Calimbahin, S. Pancho-Festin, J. Pedrasa

引用次数: 0

Optimal Selection and Identification of Defects in Chestnuts Processing, through Computer Vision, Taking Advantage of its Inherent Characteristics 利用栗子加工的固有特性，利用计算机视觉优化栗子加工缺陷的选择与识别

2019 24th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA) Pub Date : 2019-09-01 DOI: 10.1109/ETFA.2019.8869034

Claudia Cervantes-Jilaja, Liz Bernedo-Flores, Elizabeth Morales-Muñoz, R. E. Patiño-Escarcina, D. Barrios-Aranibar, Roger Ripas-Mamani, H. H. Álvarez-Valera

{"title":"Optimal Selection and Identification of Defects in Chestnuts Processing, through Computer Vision, Taking Advantage of its Inherent Characteristics","authors":"Claudia Cervantes-Jilaja, Liz Bernedo-Flores, Elizabeth Morales-Muñoz, R. E. Patiño-Escarcina, D. Barrios-Aranibar, Roger Ripas-Mamani, H. H. Álvarez-Valera","doi":"10.1109/ETFA.2019.8869034","DOIUrl":"https://doi.org/10.1109/ETFA.2019.8869034","url":null,"abstract":"In the agro-industry automation, computer vision has become very important to the product selection and classification process. The problem becomes more challenging when it is necessary to detect defects or diseases in the product images. In literature, it was observed that when the fruit or vegetable image is treated as only one problem, efficiency is lower than when dividing it into sub-problems considering regions with similar appearance. Thus, in this paper, the target is to automate the detection and identification of visual defects in Brazil nuts by dividing the problem into two sub-problems (pulp and epidermis defects recognition) and by using color, shape and texture descriptors. First, the original image is segmented into two regions (one dark and one light). Then, First Order Descriptor, is applied to detect the presence or absence of defects in each region through the texture descriptor. Next, color, size and texture descriptors are used to the identification of each defect. This approach improves results obtained in previous research (Álvarez-Valera et al. [1]). We obtained an efficiency rate of 98.03 % with a processing time of 75 ms at worst and 51 at the best for every 3 images processed, unlike the previous attempt that had an efficiency rate of 91.79 % with a processing time of 130 ms. Finally, this approach can be applied in different types of products with other characteristics, since its inherent characteristics allows us to divide the original problem in two or more sub-problems.","PeriodicalId":6682,"journal":{"name":"2019 24th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA)","volume":"54 1","pages":"513-520"},"PeriodicalIF":0.0,"publicationDate":"2019-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"86181975","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

Improved RSS-Based DoA Estimation Accuracy in Low-Profile ESPAR Antenna Using SVM Approach 利用支持向量机提高基于rss的低轮廓ESPAR天线DoA估计精度

2019 24th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA) Pub Date : 2019-09-01 DOI: 10.1109/ETFA.2019.8868967

M. Tarkowski, Mateusz Burtowy, M. Rzymowski, K. Nyka, M. Groth, L. Kulas

{"title":"Improved RSS-Based DoA Estimation Accuracy in Low-Profile ESPAR Antenna Using SVM Approach","authors":"M. Tarkowski, Mateusz Burtowy, M. Rzymowski, K. Nyka, M. Groth, L. Kulas","doi":"10.1109/ETFA.2019.8868967","DOIUrl":"https://doi.org/10.1109/ETFA.2019.8868967","url":null,"abstract":"In this paper, we have shown how the overall performance of direction-of-arrival (DoA) estimation using low-profile electronically steerable parasitic array radiator (ESPAR) antenna, which has been proposed for Internet of Things (IoT) applications, can significantly be improved when support vector machine (SVM) approach is applied. Because the SVM-based DoA estimation method used herein relies solely on received signal strength (RSS) values recorded at the antenna output port for different directional radiation patterns produced by the antenna steering circuit, the algorithm is well-suited for IoT nodes based on inexpensive radio transceivers. Measurement results indicate that, although the antenna can provide 8 unique main beam directions, SVM-based DoA of unknown incoming signals can successfully be estimated with good accuracy in a fast way using limited number of radiation patterns. Consequently, such an approach can be used in efficient location-based security methods in Industrial Internet of Things (IIoT) applications.","PeriodicalId":6682,"journal":{"name":"2019 24th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA)","volume":"39 1","pages":"1759-1763"},"PeriodicalIF":0.0,"publicationDate":"2019-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"86118265","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

Structuring the Industry 4.0 Landscape 构建工业4.0格局

2019 24th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA) Pub Date : 2019-09-01 DOI: 10.1109/ETFA.2019.8869268

Sebastian R. Bader, Irlán Grangel-González, Mayesha Tasnim, S. Lohmann

引用次数: 6

Integration of SMT-based Scheduling with RC Network Calculus Analysis in TTEthernet Networks 以太网中基于smt的调度与RC网络演算分析的集成

2019 24th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA) Pub Date : 2019-09-01 DOI: 10.1109/ETFA.2019.8869365

A. Finzi, Silviu S. Craciunas

{"title":"Integration of SMT-based Scheduling with RC Network Calculus Analysis in TTEthernet Networks","authors":"A. Finzi, Silviu S. Craciunas","doi":"10.1109/ETFA.2019.8869365","DOIUrl":"https://doi.org/10.1109/ETFA.2019.8869365","url":null,"abstract":"In mixed-criticality Ethernet-based time-triggered networks, like TTEthernet, time-triggered communication (TT) coexists with rate-constrained (RC) and best-effort (BE) traffic. A global communication scheme, i.e., a schedule, establishes contention-free transmission times for TT flows ensuring guaranteed low latency and minimal jitter. Current approaches use Satisfiability Modulo Theories (SMT) to formulate the scheduling constraints and solve the resulting problem. However, these approaches do not take into consideration the impact of the TT schedule on RC traffic. Hence, the resulting TT schedule may cause the worst-case latency requirements of RC traffic not to be fulfilled anymore.In this paper, we present a novel method for including an RC analysis in state-of-the-art SMT-based schedule synthesis algorithms via a feedback loop in order to maintain the optimality properties of the SMT-based approaches while also being able to improve the RC traffic delays. Our method is designed in such a way that it can be readily integrated into existing SMT- or MiP-based solutions. We evaluate our approach using variants derived from a realistic use-case and present methods to further improve the efficiency of our feedback-based approach.","PeriodicalId":6682,"journal":{"name":"2019 24th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA)","volume":"10 1","pages":"192-199"},"PeriodicalIF":0.0,"publicationDate":"2019-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"77125290","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: 11

Towards robust 6-DoF detection in uncontrolled lightning enviroments 在非受控雷电环境中实现鲁棒六自由度检测

2019 24th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA) Pub Date : 2019-09-01 DOI: 10.1109/ETFA.2019.8869458

Alejandro Mora, Edmundo Guerra, M. Manzanares, A. Grau-Saldes

引用次数: 0

Multi-camera architecture for perception strategies 感知策略的多摄像头架构

2019 24th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA) Pub Date : 2019-09-01 DOI: 10.1109/ETFA.2019.8869096

Enrique Hernández-Murillo, Rosario Aragues, G. López-Nicolás

引用次数: 1

Supervised global path planning for mobile robots with obstacle avoidance 移动机器人避障的监督全局路径规划

2019 24th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA) Pub Date : 2019-09-01 DOI: 10.1109/ETFA.2019.8868950

M. Indri, C. Possieri, Fiorella Sibona, Pangcheng David Cen Cheng, V. D. Hoang

引用次数: 5

Lamb Wave-based Quality Inspection of Repaired Carbon Fibre Reinforced Polymers for On-Site Aircraft Maintenance 飞机现场维修中基于Lamb波的修复后碳纤维增强聚合物质量检测

2019 24th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA) Pub Date : 2019-09-01 DOI: 10.1109/ETFA.2019.8869440

Christoph-Alexander Holst, V. Lohweg, Kristian Röckemann, A. Steinmetz

引用次数: 2

Advantages of Virtual Reality in the Teaching and Training of Radiation Protection during Interventions in Harsh Environments 虚拟现实技术在恶劣环境辐射防护干预教学与培训中的优势

2019 24th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA) Pub Date : 2019-09-01 DOI: 10.1109/ETFA.2019.8869433

A. Cryer, G. Kapellmann-Zafra, Samantha Abrego-Hernandez, H. Marin-Reyes, R. French

引用次数: 10