SPIE Future Sensing Technologies 2021最新文献

Front Matter: Volume 11914 封面:第11914卷

SPIE Future Sensing Technologies 2021 Pub Date : 2021-12-02 DOI: 10.1117/12.2623933

引用次数: 0

Digital high-speed compressed sensing photoacoustic imaging simulation platform based on K-Wave 基于K-Wave的数字高速压缩传感光声成像仿真平台

SPIE Future Sensing Technologies 2021 Pub Date : 2021-11-14 DOI: 10.1117/12.2612457

Zihao Li, Xianlin Song, Aojie Zhao

引用次数: 0

Surface breaking crack detection algorithm for flying spot and line thermography based on the Canny approach 基于Canny方法的飞点线热成像表面断裂裂纹检测算法

SPIE Future Sensing Technologies 2021 Pub Date : 2021-11-14 DOI: 10.1117/12.2603913

N. W. Pech-May, M. Ziegler

{"title":"Surface breaking crack detection algorithm for flying spot and line thermography based on the Canny approach","authors":"N. W. Pech-May, M. Ziegler","doi":"10.1117/12.2603913","DOIUrl":"https://doi.org/10.1117/12.2603913","url":null,"abstract":"In this work we introduce an algorithm based on the well-known Canny approach for effectual crack detection in thermographic films obtained using flying spot thermography (FST) or flying line thermography (FLT). The proposed algorithm performs faster than another algorithm, for crack detection, based on the application of two Sobel filters (one in x and another one in y directions). For FLT it is shown that processing 10-25 % of the thermograms of a thermographic film required to scan a whole sample is enough to obtain good results. In contrast, using the Sobel filter approach requires the processing of twice the thermographic film length. Experimental measurements are performed on a metallic component of complex shape which contains real defects, that is, surface breaking cracks due to industrial use. The specimen is tested using flying line thermography. Three different scanning speeds are tested: 10, 30 and 60 mms with laser powers of 50, 60 and 120 W respectively. The sample and an infrared camera are aligned and fixed on a motorized linear stage. The diode laser LDM500 (500 W max power) is fixed on an optical bench separately from the linear stage. The results obtained with the proposed algorithm are additionally compared with a previously established algorithm for flying spot thermography based on the Sobel filter. It is shown that the proposed algorithm based on the Canny approach, can be used in automated systems for thermographic non-destructive testing.","PeriodicalId":194494,"journal":{"name":"SPIE Future Sensing Technologies 2021","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129283492","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

Automatic adaptive wireless demodulator using incremental learning in real time 采用实时增量学习的自动自适应无线解调器

SPIE Future Sensing Technologies 2021 Pub Date : 2021-11-14 DOI: 10.1117/12.2601691

Todd Morehouse, Charles Montes, Ruolin Zhou

{"title":"Automatic adaptive wireless demodulator using incremental learning in real time","authors":"Todd Morehouse, Charles Montes, Ruolin Zhou","doi":"10.1117/12.2601691","DOIUrl":"https://doi.org/10.1117/12.2601691","url":null,"abstract":"In wireless communication systems, a received signal is corrupted by various means, such as noise, multi-path fading, and defects in hardware. To properly demodulate the signal and recover information, complex systems are used. This typically consists of a series of filtering, corrections, timing recovery, and finally demodulation. Furthermore, the approaches for each stage are application specific. Deep learning (DL) can be applied to create an automatic demodulator, independent of modulation type, with no preprocessing, replacing the complex traditional system. However, these systems can only handle scenarios that are incorporated at the initial training stage. If new modulation types are encountered, the system must be re-trained to adapt. Traditional DL systems require the entire original dataset to retain old information, which increases storage requirements and training time. To increase adaptability, we incorporate incremental learning (IL) into a DL demodulator. Incremental learning attempts to overcome these issues, allowing a system to train on only new information. We apply IL to learn to demodulate new modulation types, not initially introduced to this system. We demonstrate this system in the field through the use of software defined radio. The system is subjected to unknown modulation types, and shown to adapt in real-time and over-the-air in an unsupervised environment.","PeriodicalId":194494,"journal":{"name":"SPIE Future Sensing Technologies 2021","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114556958","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

Distributed strain sensing using slope assisted BOTDA based on virtual Brillouin gain spectrum synthesized by multi-frequency light 基于多频光合成虚拟布里渊增益谱的斜率辅助BOTDA分布式应变传感

SPIE Future Sensing Technologies 2021 Pub Date : 2021-11-14 DOI: 10.1117/12.2603932

Kazuki Hoshino, Daiki Saito, M. Zan, Yosuke Tanaka

引用次数: 2

Parameter analysis of freeform surface description method with automatically configurable Gaussian radial basis function 自动配置高斯径向基函数的自由曲面描述方法参数分析

SPIE Future Sensing Technologies 2021 Pub Date : 2021-11-14 DOI: 10.1117/12.2615962

X. Chang, Q. Hao, Yao Hu, Xin Tao, Jiahang Lv, Zhen Wang, Yiming Liu, Xuemin Cheng

引用次数: 0