{"title":"Principle and preparation of gallium oxide photoelectric detection device","authors":"Haixin Zhang, D. Jiang, Mingyang Li, Jichao Han","doi":"10.1117/12.2653535","DOIUrl":"https://doi.org/10.1117/12.2653535","url":null,"abstract":"The detection of ultraviolet signal has attracted more and more attention of researchers. Gallium oxide has attracted much attention because of its particularity. In this paper, the status quo of gallium oxide was investigated, and the working principle of gallium oxide photodetector was introduced in detail. A Ga2O3 MSM UV detector with different parameters was prepared by rf magnetron sputtering and wet etching, and the optimum growth parameters were obtained, which is well prepared for the subsequent research. When the bias voltage is constant, the photoelectric characteristics of the photodetector change with the parameters.","PeriodicalId":253792,"journal":{"name":"Conference on Optics and Communication Technology","volume":"53 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":"123604332","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}
{"title":"Effect of target motion on PTFM waveform and subsequent signal processing","authors":"Qingxuan Du, Yihui Pan, Yuankun Peng, Yanpeng Sun","doi":"10.1117/12.2654141","DOIUrl":"https://doi.org/10.1117/12.2654141","url":null,"abstract":"In active detection, the Doppler of moving target leads to frequency shift of active echo signal, which is reflected in time dimension as time delay of echo. Due to the good resistance of PTFM (pulse train of frequency modulated) to the time-domain fading characteristics of ocean channel, it is widely used. PTFM is composed of multiple LFM, and the Doppler motion has a complex influence on it. Many scholars simply think that the interval of LFM echo in the moving target is still the pulse width T, but in fact it has changed. This paper gives the influence of Doppler motion on signal quantitatively through formula derivation, and gives the subsequent signal processing method, which has good application value for engineering application.","PeriodicalId":253792,"journal":{"name":"Conference on Optics and Communication Technology","volume":"409 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":"122787827","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}
{"title":"Total reflection array infrared rain sensor","authors":"Zerong Li, Zibo Wu, Jichong Han, Fucheng Guo, Jiajun Xv, Rui Peng, Haibo Liu","doi":"10.1117/12.2653557","DOIUrl":"https://doi.org/10.1117/12.2653557","url":null,"abstract":"Achieving safe and comfortable driving is the main target of in-vehicle electronic devices. Infrared rain sensors in vehicles are useful when raining. It works by reflecting harmonious light beams on the windshield. When raindrops land on the windshield, this harmony is disturbed, causing the beam intensity to drop. The system then activates the wipers to operate fully automatically. With the help of the rain sensor, drivers can focus on driving without distraction, thus enjoying a comfortable environment. So far, most of the domestic rain sensors are supplied from abroad, and only a few high-end cars are equipped with rain sensors. In this context, a reliable and inexpensive vehicle-mounted infrared rain sensor has become an urgent need. This paper introduces the basic principle of rain sensors and proposes a simple and reliable detection method. This work is dedicated to analyzing some interference factors that affect the rain sensor work and putting forward a series of solutions. Experiments show that the rain sensor meets the design requirements, and the detection principle and solution are feasible.","PeriodicalId":253792,"journal":{"name":"Conference on Optics and Communication Technology","volume":"27 4 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":"116713599","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}
Benqiang Xiao, Di Mu, Jinsheng Duan, Bo Zhang, Meng Zhang
{"title":"Research on the application of 4G technology in local communication of power distribution Internet of Things","authors":"Benqiang Xiao, Di Mu, Jinsheng Duan, Bo Zhang, Meng Zhang","doi":"10.1117/12.2653529","DOIUrl":"https://doi.org/10.1117/12.2653529","url":null,"abstract":"With the rapid development of new energy technology, the massive access to related equipment such as distributed photovoltaic devices and energy storage devices performs a huge impact on the quality, safety, and stability of the operation of the power grid. In the current stage, the Broadband Power Line Carrier HPLC technology has been widely applied for the access of distributed photovoltaic devices to perform data collection and transmission functions. However, due to the limitation of the HPLC networking method and communication mode, the current communication system exists problems such as long-distance node communication could not be covered, power line communication is susceptible to interference, and could not be safely and accurately controlled in real-time, which is difficult to achieve broad and reliable access of devices. Therefore, this paper proposes a novel concept that is using 4G technology to replace HPLC technology to help realize local communication in the smart distribution network. According to the practical test results, the current design could operate stably and efficiently which provides a practical reference for relevant research.","PeriodicalId":253792,"journal":{"name":"Conference on Optics and Communication Technology","volume":"12 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":"125553950","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}
{"title":"Research on visualization system of Beidou/INS and “in-transit” materials","authors":"Yuejun Shi, Peng Chen, Qian Zheng, Kaixuan Yuan","doi":"10.1117/12.2653440","DOIUrl":"https://doi.org/10.1117/12.2653440","url":null,"abstract":"This article mainly introduces the principle and implementation of the system of the “in-transit” materials’ information management visualization system by using Beidou, inertial navigation, geographic information and network technology. It can provide more real-time, intuitive, scientific and efficient information assurance of materials and geography for providing efficient auxiliary decision-making information for material support decision-making.","PeriodicalId":253792,"journal":{"name":"Conference on Optics and Communication Technology","volume":"39 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":"133415846","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}
{"title":"Design of an auxiliary system for quality review of wind turbine operation and maintenance based on deep learning image recognition","authors":"Q. Sun, Lianda Duan, Gaoju Li, Nana Lu","doi":"10.1117/12.2653434","DOIUrl":"https://doi.org/10.1117/12.2653434","url":null,"abstract":"The cost of operation and maintenance(O&M) has been one of the central budgets in the wind turbines' life cycle. In the final stage of the O&M work, the administrators must manually review the on-site photos to ensure the O&M is qualified, which is time-consuming and ineffective. To improve the efficiency and quality of O&M reviewing work while reducing its costs, we propose an auxiliary reviewing system to optimize the reviewing process. Our system architecture consists of data collection, analysis, and presentation modules. During day times, the data collection module will handle storing and organizing the photos of O&M. The data analysis module will perform duplicate image detection using the MessageDigest Algorithm 5(MD5) and missed image detections through the pre-trained ResNet50 deep learning model. The review results from the analysis module will be fully updated to the database after the analyzing process and rendered into graphs or tables on the webpage when required by the reviewers. Analyses are done in this paper to visualize the functions of each module of the proposed system. The experiment evaluates the performance of three deep learning models, including AlexNet, VGG16, and ResNet50, based on authentic on-site inspection images data from our \"first annual inspection\" dataset to determine which model yields the best image classification performance. The experimental result reveals that ResNet50 can reach the highest accuracy at 96.2% on the test dataset. Thus, we choose ResNet50 to train the image classifier of our data analysis module.","PeriodicalId":253792,"journal":{"name":"Conference on Optics and Communication Technology","volume":"7 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":"131445508","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}
{"title":"Performance analysis of terahertz communications using QPSK coherent modulation with link misalignment","authors":"Mingbo Niu, Hucheng Wang, Yipu Zhang, Biao Wang, Sipon Miah Md","doi":"10.1117/12.2653563","DOIUrl":"https://doi.org/10.1117/12.2653563","url":null,"abstract":"In this work, coherent modulation Terahertz communication link with pointing errors are analyzed for the Gamma-Gamma turbulence channels. The high-precision bit error rate and outage probability expressions for the Gamma-Gamma turbulent channel using coherent quadrature phase-shift keying signal are derived, and the bit error rate and outage probability are analyzed for its asymptotical property. The results show that our series error rate expression can accurately evaluate the system performance. It has high precision in estimating and predicting actual error rates.","PeriodicalId":253792,"journal":{"name":"Conference on Optics and Communication Technology","volume":"12473 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":"131007030","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}
{"title":"Industrial defect target detection based on YoloV5 and attention mechanism","authors":"C. Ye","doi":"10.1117/12.2653431","DOIUrl":"https://doi.org/10.1117/12.2653431","url":null,"abstract":"Crack detection of industrial defect target detection is one of the most critical aspects of industrial product quality control, and to address the problems of false detection, missed detection and insufficient feature extraction for fine cracks in target detection, this paper introduces a hybrid attention mechanism based on the original YOLOv5, which improves the accuracy of the backbone feature extraction network for fine crack detection. The experimental results show that the target loss of the validation set of the improved YOLOv5s model converges significantly, the model training results are accurate, there is no overfitting or underfitting phenomenon, and the average accuracy mean value is improved by 3.8% compared with the original YOLOv5s model. The improved YOLOv5s model can identify and detect fine cracks under both illumination or dim conditions, and the model generalization ability is good enough to meet the relevant requirements in industrial production processes.","PeriodicalId":253792,"journal":{"name":"Conference on Optics and Communication Technology","volume":"41 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":"129686288","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}
{"title":"Research on the principle of synthetic aperture vortex beam imaging","authors":"Yining Wang, Yuan Ren, Linlin Chen, Liyuan Xu","doi":"10.1117/12.2653553","DOIUrl":"https://doi.org/10.1117/12.2653553","url":null,"abstract":"Synthetic aperture lidar is an optical remote sensing method that can theoretically achieve centimeter-level imaging resolution. It faces unprecedented research problems in physical optics, one of which is the single beam modulation mode, which greatly limits its large-scale application. A vortex beam carrying orbital angular momentum can theoretically generate an infinite variety of mutually orthogonal modulation modes. Applying it to imaging detection has the potential to bring richer information freedom while ensuring imaging resolution. In this paper, a vortex beam imaging model based on synthetic aperture method is proposed by combining vortex beam and synthetic aperture technology. Based on the basic principle of synthetic aperture and the theory of vortex beam orbital angular momentum, a synthetic aperture vortex beam imaging radar model is established. The data acquisition process of synthetic aperture vortex beam imaging is also deduced, and the phase angle position relationship in the echo data is analyzed. Finally, the range resolution and azimuth resolution of synthetic aperture vortex beam imaging under specific conditions are solved. Theoretical analysis shows that the rate of change of the topological charge of the vortex beam during the imaging process will have a great impact on the azimuthal resolution, which is consistent with the expected results. This paper lays a foundation for the follow-up research on vortex beam synthetic aperture imaging, and also provides a reference for the development of new radar technology.","PeriodicalId":253792,"journal":{"name":"Conference on Optics and Communication Technology","volume":"8 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":"122447240","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}
Hongtu Xie, Jian Zhang, Jiaxing Chen, Peng Zou, Guoqian Wang
{"title":"Target change detection based on Edgeworth statistical distribution features for LF UWB SAR","authors":"Hongtu Xie, Jian Zhang, Jiaxing Chen, Peng Zou, Guoqian Wang","doi":"10.1117/12.2653517","DOIUrl":"https://doi.org/10.1117/12.2653517","url":null,"abstract":"Low frequency ultra-wideband synthetic aperture radar (LF UWB SAR) not only obtains the high-resolution image, but also has the well capability of the foliage penetrating, which is potential of detecting the concealed target under the vegetation. This paper studies the target change detection based on the Edgeworth statistical distribution features in the LF UWB SAR images. First, the Edgeworth expansion is used to estimate the probability density function of the pixel neighborhood, and then the K-L divergence has been used as the standard to evaluate the difference between the probability density functions, to realize the target change detection in the multi-temporal SAR images. Finally, the proposed algorithm is tested based on the LF UWB BSAR data, and then the detection performance is shown and analyzed. The experiment results prove the correctness of the theoretical analysis and the effectiveness of the proposed method.","PeriodicalId":253792,"journal":{"name":"Conference on Optics and Communication Technology","volume":"21 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":"124756778","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}