Conference on Optics and Communication Technology最新文献_第7页

A multi-feature fusion probabilistic topic model for unsupervised 3D point cloud classification 无监督三维点云分类的多特征融合概率主题模型

Conference on Optics and Communication Technology Pub Date : 2022-11-18 DOI: 10.1117/12.2653513

Jun Chen, Fan Xu, Zhigao Shang, Shuning Shao

引用次数: 0

An improved multi-hops routing hierarchy among cluster-heads with energy and distance index based on LEACH 基于LEACH的簇头间带能量和距离索引的改进多跳路由结构

Conference on Optics and Communication Technology Pub Date : 2022-11-18 DOI: 10.1117/12.2653488

Jialong Chen, Ta-Mou Chen, Xiang Gao

{"title":"An improved multi-hops routing hierarchy among cluster-heads with energy and distance index based on LEACH","authors":"Jialong Chen, Ta-Mou Chen, Xiang Gao","doi":"10.1117/12.2653488","DOIUrl":"https://doi.org/10.1117/12.2653488","url":null,"abstract":"Wireless sensor network, as a popular scientific research project in recent years, plays an increasingly important role in military, medical and social infrastructure construction. However, characteristics like limited node energy capacity and decentralized deployment of wireless sensor network node contribute to short service life of nodes and difficult supplement of node energy which become the urgent problems to be solved in this field. Based on these problems, the Low Energy Adaptive Clustering Hierarchy (LEACH) is proposed to dynamically select cluster heads by clustering which saves node energy. However, the classical LEACH protocols still have some problems. The node energy use is not uniform and cluster head selection is not optimal. In this paper, an Improved LEACH based on Node Residual Energy and Base Station Distance (LEACH-NB) is proposed based on energy and distance to optimize cluster-header selection. So that the node has more remaining energy and be closer to the sink node will be chosen as the cluster-header. Besides, the problem of energy consumption in remote communication between cluster head nodes also needs to be solved. Then on the basis of LEACH-NB and the multi-hop routing protocol, an Improved Multi-Hops Routing Hierarchy among Cluster-heads with Energy and Distance Index based on LEACH-NB (IMRH) protocol is proposed. After that, the IMRH protocol is compared with the classical LEACH protocol, improved protocol EWB I-LEACH protocol as well as SILEACH proposed by other scholars through MATLAB simulation. The analog results illustrate that IMRH protocol has better capacity than other protocols in node demise rate and energy wastage rate.","PeriodicalId":253792,"journal":{"name":"Conference on Optics and Communication Technology","volume":"28 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127865602","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

Super-resolution reconstruction of remote sensing images based on Swin Transformer fusion attention network 基于Swin Transformer融合关注网络的遥感图像超分辨率重建

Conference on Optics and Communication Technology Pub Date : 2022-11-18 DOI: 10.1117/12.2653433

Zhilin Wang, Hai-Dong Shang, Shuang Wang

{"title":"Super-resolution reconstruction of remote sensing images based on Swin Transformer fusion attention network","authors":"Zhilin Wang, Hai-Dong Shang, Shuang Wang","doi":"10.1117/12.2653433","DOIUrl":"https://doi.org/10.1117/12.2653433","url":null,"abstract":"Image super-resolution reconstruction technology in remote sensing can improve the spatial resolution of remote sensing images with the breakthrough of physical hardware limitations. With the development of deep learning technology, more and more algorithms proposed in the field of natural images are applied to the field of remote sensing super-resolution. Due to the large difference in the size of the objects in remote sensing images and the high complexity of the image, the reconstructed image will be blurred when the algorithm in the field of natural images is directly used. To address this problem, this paper proposes a shallow feature extraction feature fusion with multiple convolutions, followed by the extraction of high-frequency information using the Swin Transformer module with a fusion attention mechanism. The edge details of the image are extracted using the gradient of the image in the final reconstruction process, and complementary fusion is performed at the end of the network, which can effectively supplement the lack of shallow features caused by the deep network. Finally, experiments show that the proposed model obtains satisfactory reconstruction results of remote sensing images.","PeriodicalId":253792,"journal":{"name":"Conference on Optics and Communication Technology","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115358496","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

Anti-turbulence algorithm for free-space optical communication based on a novel interleaver 基于新型交织器的自由空间光通信抗干扰算法

Conference on Optics and Communication Technology Pub Date : 2022-11-18 DOI: 10.1117/12.2653468

Xiaochuan Tan, Biyao Wang, Shaobo Li, Mingyi Ma, Xiaole Zhang, Ruohan Feng

引用次数: 0

Transformer terminal feature recognition and positioning method based on binocular vision and image processing algorithm 基于双目视觉的变压器终端特征识别与定位方法及图像处理算法

Conference on Optics and Communication Technology Pub Date : 2022-11-18 DOI: 10.1117/12.2653820

Lingying Chen, Yue Zhao, Xing Li

引用次数: 0

Super-resolution reconstruction of remote sensing images based on SRGAN 基于SRGAN的遥感图像超分辨率重建

Conference on Optics and Communication Technology Pub Date : 2022-11-18 DOI: 10.1117/12.2653847

Meng Yu, Hongjuan Wang, Chang Liu, Deping Lin

{"title":"Super-resolution reconstruction of remote sensing images based on SRGAN","authors":"Meng Yu, Hongjuan Wang, Chang Liu, Deping Lin","doi":"10.1117/12.2653847","DOIUrl":"https://doi.org/10.1117/12.2653847","url":null,"abstract":"In the field of remote sensing images, due to the limitations of hardware equipment, image transmission, natural environment and other reasons, the resolution of the obtained remote sensing images cannot reach the desired resolution. The emergence of image super-resolution reconstruction technology can improve the resolution of remote sensing images without increasing the high cost. Image super-resolution reconstruction refers to the fact that low-resolution images can obtain high-resolution images through certain algorithmic techniques. With the rapid development of deep learning ideas, researchers have applied it to the field of image super-resolution reconstruction and achieved good results. Image super-resolution reconstruction also shifts from traditional reconstruction methods to deep learning-based methods. The emergence of the idea of Generative Adversarial Networks has further advanced the field of image super-resolution reconstruction. By using the idea of Generative Adversarial Network (GAN), researchers can obtain more realistic high-resolution images. This paper mainly uses the SRGAN model, the image dataset DIV2K for super-resolution reconstruction, and uses a dense residual structure in the generator network to obtain more image information, so that the effect of image reconstruction is more realistic. Through the experimental verification on the SIRI-WHU remote sensing test data set, the two evaluation indicators of peak signal-to-noise ratio (PSNR) and structural similarity (SSIM) are compared, and the effect is improved. Better generation results can also be observed through subjective human vision.","PeriodicalId":253792,"journal":{"name":"Conference on Optics and Communication Technology","volume":"28 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121014531","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

Research on YOLOv4 model inference acceleration of real time object detection for smart construction site 面向智能建筑现场实时目标检测的YOLOv4模型推理加速研究

Conference on Optics and Communication Technology Pub Date : 2022-11-18 DOI: 10.1117/12.2653817

Jianchun Wang, Minjian Long, Yunfu Zhou, Congcong Guan

引用次数: 0

Raman investigation of water OH stretching vibration 水OH拉伸振动的拉曼研究

Conference on Optics and Communication Technology Pub Date : 2022-11-18 DOI: 10.1117/12.2653582

Zhe Liu, Xiaoqi Li, Yuyao Li

{"title":"Raman investigation of water OH stretching vibration","authors":"Zhe Liu, Xiaoqi Li, Yuyao Li","doi":"10.1117/12.2653582","DOIUrl":"https://doi.org/10.1117/12.2653582","url":null,"abstract":"In this paper, the combination of spontaneous and stimulated Raman spectroscopy is used to further explore the relationship between OH stretching vibration and hydrogen bond in water under atmospheric pressure and dynamic high pressure and present the change process of hydrogen bond structure in liquid water from a microscopic point of view. The OH spontaneous Raman spectrum of water is deconvoluted into two characteristic peaks, which are 3213 cm-1 and 3436 cm-1 respectively. They belong to the OH stretching vibration under the action of strong hydrogen bond and weak hydrogen bond. In stimulated Raman scattering, under the action of plasma shock wave, the bond length of hydrogen bond is shortened, resulting in the elongation of OH bond length. Corresponding to the enhancement of hydrogen bond, the OH stretching vibration of water is weakened, and the Raman peak moves to the low wave number direction to 3396 cm 1. In the stimulated Raman scattering experiment, due to the exponential enhancement of the output signal, the weaker vibration mode will be masked by the stronger vibration mode. Therefore, only one vibration mode is observed in the spectrum. In this paper, the changes of corresponding hydrogen bond structure under spontaneous and stimulated Raman scattering are compared and analyzed. The research results are helpful to further explore the microphysical mechanism of liquid water molecular interaction and provide a reference for the mechanism research in related fields.","PeriodicalId":253792,"journal":{"name":"Conference on Optics and Communication Technology","volume":"313 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115302824","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