2019 Research, Invention, and Innovation Congress (RI2C)最新文献_第9页

Designing of Welding Defect Samples for Data Mining in Defect Detection and Classification using 3D Geometric Scanners 基于三维几何扫描仪的焊接缺陷检测与分类数据挖掘样本设计

2019 Research, Invention, and Innovation Congress (RI2C) Pub Date : 2019-12-01 DOI: 10.1109/RI2C48728.2019.8999939

Papatsorn Singhatham, Suthada Srigate, Sansiri Tanachutiwat

{"title":"Designing of Welding Defect Samples for Data Mining in Defect Detection and Classification using 3D Geometric Scanners","authors":"Papatsorn Singhatham, Suthada Srigate, Sansiri Tanachutiwat","doi":"10.1109/RI2C48728.2019.8999939","DOIUrl":"https://doi.org/10.1109/RI2C48728.2019.8999939","url":null,"abstract":"Using a deep learning technology for welding defect detection and classification could improve the quality and productivity of the welding industry. However, developing the deep learning model based on the supervised learning method requires a large amount of data for good and defective welding. The welding technicians nowadays have been well trained and rarely produce the imperfect welds. Thus, lack of defective welding samples poses a major challenge to design welds defect samples necessary for developing the deep learning model. In this paper, a model and a method are established based on the standard for initial quality assessment in external surface imperfection. The method is used to create imperfection on aluminum plate specimen and to design an experiment using a 3D laser scanner for detecting cracks on weld bead and to generate three-dimensional models for welding quality assessment by visual testing technic (VT) in accordance with the ISO 9712 and American Society of Mechanical Engineer (ASME). The model of the calibration specimen that has been designed is used as a tool to create imperfection (crack) according to ISO-6520-1. As per the design principles of creating cracks, these are at the root of weld, at the heat-affected zone (HAZ) and at the parent material. We determine the size of the cracks by dividing the size according to the location of the cracks in order to obtain a total of 47 cracks in 1 specimen. With this design principle, the specimens will be realistic and it is necessary for the detection software to be highly accurate to correctly detect and classify cracks on actual weld beads.","PeriodicalId":404700,"journal":{"name":"2019 Research, Invention, and Innovation Congress (RI2C)","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130838794","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

Development of Cloud Learning Management Systems for Higher Education Institutions 高等院校云学习管理系统的开发

2019 Research, Invention, and Innovation Congress (RI2C) Pub Date : 2019-12-01 DOI: 10.1109/RI2C48728.2019.8999877

P. Wannapiroon, Nutthapat Kaewrattanapat, Jakkrit Premsmith

引用次数: 5

Spatio-Temporal Seismic Data Analysis for Predicting Earthquake: Bangladesh Perspective 地震预测的时空地震数据分析:孟加拉国视角

2019 Research, Invention, and Innovation Congress (RI2C) Pub Date : 2019-12-01 DOI: 10.1109/RI2C48728.2019.8999880

Risul Islam Rasel, N. Sultana, G.M. Azharul Islam, M. Islam, P. Meesad

{"title":"Spatio-Temporal Seismic Data Analysis for Predicting Earthquake: Bangladesh Perspective","authors":"Risul Islam Rasel, N. Sultana, G.M. Azharul Islam, M. Islam, P. Meesad","doi":"10.1109/RI2C48728.2019.8999880","DOIUrl":"https://doi.org/10.1109/RI2C48728.2019.8999880","url":null,"abstract":"Earthquake prediction concerns specifying the earthquake's occurrence time, location, latitude, longitude, and intensity level. The determination of factors for the next earthquake happening in a region is very hard, almost impossible because earthquake occurrence depends on many things, such as changes in global warming, underground seismic wave, underground explosions, and underground rocks colliding, etc. But, nowadays, many types of research have been done around the world to build an earthquake warning system which upon detection of an earthquake, provides a real-time warning to the neighboring regions that might be affected. In this study, only the Spatio-temporal seismic data of Bangladesh is analyzed to propose an earthquake prediction model using the probabilistic assumption of the next earthquake happening in and around the Bangladesh region. The experimental dataset contains 100 years of a historical earthquake happening records in and around Bangladesh from the year 1918 to 2018 and this data is collected from Bangladesh Meteorological Department's (BMD) climate division. A comparative and comprehensive analysis is done to identify the best-suited model for earthquake prediction using some pioneer computationally intelligent and probabilistic machine learning algorithms, such as support vector machine, random forest, decision tree, naïve Bayes, and k-nearest neighbor.","PeriodicalId":404700,"journal":{"name":"2019 Research, Invention, and Innovation Congress (RI2C)","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121197289","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: 6

Lowpass Filters with Non-uniform Dielectric Properties using 3D Synthetic Printed Substrates 使用3D合成印刷基板的非均匀介电特性低通滤波器

2019 Research, Invention, and Innovation Congress (RI2C) Pub Date : 2019-12-01 DOI: 10.1109/RI2C48728.2019.8999908

S. Chaimool, Kamonpan Kaewheang, Chonnipa Thanomdumrongsak, Amornsak Rattanawongsawat

引用次数: 0

A Multi-objective Model for Ergonomic Workforce Scheduling with Bi Hazard Considerations 考虑双危害的人体工学劳动力调度多目标模型

2019 Research, Invention, and Innovation Congress (RI2C) Pub Date : 2019-12-01 DOI: 10.1109/RI2C48728.2019.8999914

Tarit Rattanamanee, Wanida Laoraksakiat

引用次数: 0

Maximum Torque per Ampere and Field-weakening Controls for the High-Speed Operation of Permanent-Magnet Assisted Synchronous Reluctance Motors 永磁辅助同步磁阻电机高速运行的每安培最大转矩和弱磁场控制

2019 Research, Invention, and Innovation Congress (RI2C) Pub Date : 2019-12-01 DOI: 10.1109/RI2C48728.2019.8999910

S. Sriprang, B. Nahid-Mobarakeh, N. Takorabet, S. Pierfederici, P. Mungporn, P. Thounthong, N. Bizon, P. Kuman, Z. Shah

引用次数: 2

Design and Implementation of Passive Harmonic Filter Using Simulation Tool 无源谐波滤波器的仿真设计与实现

2019 Research, Invention, and Innovation Congress (RI2C) Pub Date : 2019-12-01 DOI: 10.1109/RI2C48728.2019.8999890

Nattapon Panmala, P. Sriyanyong

引用次数: 0

96-GHz Complementary Split Ring Resonator for Thin Photoresist Film Thickness Characterization 用于光刻胶薄膜厚度表征的96 ghz互补劈开环谐振器

2019 Research, Invention, and Innovation Congress (RI2C) Pub Date : 2019-10-07 DOI: 10.1109/RI2C48728.2019.8999896

N. Chudpooti, Sukanya Chudpooti, P. Akkaraekthalin, I. Robertson, N. Somjit

引用次数: 0

Flexible Rectennas for Wireless Power Transfer to Wearable Sensors at 24 GHz 用于24 GHz可穿戴传感器无线电力传输的柔性整流天线

2019 Research, Invention, and Innovation Congress (RI2C) Pub Date : 2019-10-07 DOI: 10.1109/RI2C48728.2019.8999964

B. T. Malik, V. Doychinov, S. A. R. Zaidi, I. Robertson, N. Somjit, R. Richardson, N. Chudpooti

引用次数: 6