{"title":"New Paradigm for Beehive Monitoring System Using Infrared and Power Line Communication","authors":"Da-Huei Lee;Wei-Wen Hu;Yuan-Long Lee;Tai-Yu Chen","doi":"10.1109/JPHOT.2025.3552600","DOIUrl":"https://doi.org/10.1109/JPHOT.2025.3552600","url":null,"abstract":"In recent years, smart beehive monitoring has attracted attention due to its highly profitable industry. However, colony collapse disorder (CCD) syndrome, which is described by the sudden disappearance of the bee colony, severely affects the honey bee industry in most countries of the world. The causes of CCD are not verified, but electromagnetic interference (EMI) is the possible one that appears in most beehive monitoring systems. Based on this motivation, this paper presents a new paradigm for beehive monitoring utilizing the proposed system consisting of a host module, multiple sensor modules, and relay modules. Each sensor module is responsible for collecting the in-hive parameters of each beehive such as temperature, humidity, hive weight, carbon dioxide, oxygen, and entrance counts. The collected sensor data are then transmitted to the relay module by infrared (IR) communication to avoid EMI. The relay module integrates the IR receiver and power line communication (PLC) transmitter technologies, where the former is used to receive optical signals with in-hive parameters, and the latter is used to transform the abovementioned signals into PLC interface. Moreover, a host module is introduced to aim at receiving the signals from multiple relay modules by the PLC interface. The distances of IR communication and PLC are determined through simulation results under the target bit error rate of <inline-formula><tex-math>$10^{-3}$</tex-math></inline-formula> to provide accurate in-hive parameters with negligible interference from multiple beehives. Experimental results also show that the proposed system could meet the requirements of real-time and long-term data collection and transmission.","PeriodicalId":13204,"journal":{"name":"IEEE Photonics Journal","volume":"17 2","pages":"1-9"},"PeriodicalIF":2.1,"publicationDate":"2025-03-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10930752","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143748826","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Paul G. Sibley;Justin Wong;Malcolm B. Gray;Jong H. Chow;Chathura P. Bandutunga
{"title":"Digital Interferometric Open Loop Phase Recovery in a Fiber Optic Gyroscope","authors":"Paul G. Sibley;Justin Wong;Malcolm B. Gray;Jong H. Chow;Chathura P. Bandutunga","doi":"10.1109/JPHOT.2025.3551278","DOIUrl":"https://doi.org/10.1109/JPHOT.2025.3551278","url":null,"abstract":"We present the first use of a Digitally Enhanced Homodyne readout on a Sagnac interferometer, demonstrating the technique's capability as a readout method for high dynamic range, open loop interferometric fiber optic gyroscopes. We achieve an optical phase noise floor of 0.7 <inline-formula><tex-math>$mu$</tex-math></inline-formula>rad/<inline-formula><tex-math>$sqrt{text{Hz}}$</tex-math></inline-formula>, and phase linearity of 8 ppm demonstrated over a phase dynamic range of <inline-formula><tex-math>$16pi$</tex-math></inline-formula>. We rotation calibrate the system using a rate table, confirming an angular random walk (ARW) of 0.0014 deg/<inline-formula><tex-math>$sqrt{text{hr}}$</tex-math></inline-formula>, bias instability of 0.012 deg/hr.","PeriodicalId":13204,"journal":{"name":"IEEE Photonics Journal","volume":"17 2","pages":"1-6"},"PeriodicalIF":2.1,"publicationDate":"2025-03-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10925622","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143716441","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Reservoir Computing for Few-Mode Fiber Channel OSNR Monitoring in Deep Learning Frameworks","authors":"Jianjun Li;Tianfeng Zhao;Baojian Wu;Kun Qiu;Feng Wen","doi":"10.1109/JPHOT.2025.3550505","DOIUrl":"https://doi.org/10.1109/JPHOT.2025.3550505","url":null,"abstract":"This paper presents a novel optical performance monitoring (OPM) scheme based on reservoir computing (RC) and Resnet network for monitoring the optical signal-to-noise ratio (OSNR) of few-mode transmission channels, without the need for any demodulation process. By using 300 RC nodes, the number of floating-point operations (FLOPs) is reduced by 75%, with almost no change in prediction accuracy compared to a network without RC. In a system ranging from 0 to 30 dB, 40 simulation runs yield an OSNR prediction accuracy band around 0.9900. We also investigate the prediction accuracy when using different spectral information, with results showing that frequency-domain information effectively captures the characteristics of both signal and noise. Additionally, we examine the impact of different mode combinations on OSNR prediction accuracy and find that the prediction performance is nearly unaffected by the mode combination.","PeriodicalId":13204,"journal":{"name":"IEEE Photonics Journal","volume":"17 2","pages":"1-7"},"PeriodicalIF":2.1,"publicationDate":"2025-03-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10923712","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143698239","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Musa N. Hamza;Mohammad Tariqul Islam;Sunil Lavadiya;Iftikhar ud Din;Bruno Sanches;Slawomir Koziel;Syeda Iffat Naqvi;Abinash Panda;Mohammad Alibakhshikenari;B. Virdee;Md. Shabiul Islam
{"title":"Polarization-Insensitive Nano-Metamaterial Sensor With Near-Infrared μ and ϵ Negative Properties for Early Cancer Detection via Exosome Analysis (70 THz to 3 PHz)","authors":"Musa N. Hamza;Mohammad Tariqul Islam;Sunil Lavadiya;Iftikhar ud Din;Bruno Sanches;Slawomir Koziel;Syeda Iffat Naqvi;Abinash Panda;Mohammad Alibakhshikenari;B. Virdee;Md. Shabiul Islam","doi":"10.1109/JPHOT.2025.3549946","DOIUrl":"https://doi.org/10.1109/JPHOT.2025.3549946","url":null,"abstract":"Metamaterials (MTMs) have emerged as essential components in high-performance electromagnetic devices, including sensors and absorbers. This study presents a polarization-insensitive nano-metamaterial sensor with exceptional angular stability and a wide operating range of 70 THz to 3 PHz. The sensor achieves an average absorption rate of 97% across this range, making it highly suitable for applications in biomedical engineering. By integrating microwave imaging (MWI) techniques, the sensor can detect circulating cancer exosomes (CCEs) with high sensitivity, effectively distinguishing them from normal exosomes. Exhibiting double-negative MTM properties (negative permittivity and permeability) in the near-infrared (NIR) range (70 THz to 400 THz), the sensor enhances sensitivity for early cancer detection. A detailed analysis of its properties, including impedance (Z), phase, and S<sub>11</sub> parameters (real and imaginary components), demonstrates its superior performance. This non-invasive, label-free approach to detecting cancer biomarkers represents a significant step forward in advancing personalized healthcare.","PeriodicalId":13204,"journal":{"name":"IEEE Photonics Journal","volume":"17 2","pages":"1-15"},"PeriodicalIF":2.1,"publicationDate":"2025-03-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10919043","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143748925","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Yi Feng;Ruiyuan Liu;Xinyue Chang;Xiangzhen Huang;Yuan He;Ning Li;Tiantian Zhou;Chujun Zhao
{"title":"Predicting the Evolution of the Supercontinuum Generation With CNN-LSTM Model","authors":"Yi Feng;Ruiyuan Liu;Xinyue Chang;Xiangzhen Huang;Yuan He;Ning Li;Tiantian Zhou;Chujun Zhao","doi":"10.1109/JPHOT.2025.3549825","DOIUrl":"https://doi.org/10.1109/JPHOT.2025.3549825","url":null,"abstract":"We propose a hybrid deep learning model, namely convolutional neural network–long short-term memory (CNN-LSTM) approach to investigate the evolution of the supercontinuum (SC) generation numerically. The hybrid model can use the CNN model to extract and map the local features of the sequence, followed by the LSTM to predict the overall trend of the SC generation. With the trained model by learning the propagation dynamics of the generalized nonlinear Schrödinger equation, the consistent outcome for the neural network predictions and numerical solutions has been obtained. The combined neural network can effectively solve the complex nonlinear propagation problems and maintain high accuracy compared with the LSTM, GRU neural networks for different incident power. The hybrid approach can facilitate the design and optimization of the spectral or temporal intensity distribution of SC generation, and may offer guidance for designing SC source for specific applications.","PeriodicalId":13204,"journal":{"name":"IEEE Photonics Journal","volume":"17 2","pages":"1-5"},"PeriodicalIF":2.1,"publicationDate":"2025-03-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10919035","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143688090","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Quadratic Vortex Optical Pin Beam With OAM Mode Anti-Degradation Characteristic","authors":"Huahua Wang;Meiling Guan;Hongyue Xiao;Hongwei Jiang;Changqi Zhang;Yang Liu;Fei Chen;Lu Gao;Ze Zhang","doi":"10.1109/JPHOT.2025.3549191","DOIUrl":"https://doi.org/10.1109/JPHOT.2025.3549191","url":null,"abstract":"Orbital angular momentum (OAM) signal mode crosstalk and energy loss induced by atmospheric turbulence are challenging phenomena commonly occurring in high-capacity and high-speed OAM-based free-space optical communications. In this paper, we combine the optical pin beam (OPB) that resists atmospheric turbulence with the quadratic vortex phase (QVP) to realize a communication transmission beam based on weakening the degradation of the OAM signal mode. The probability densities of a single OAM mode of an optical pin vortex beam carrying a QVP (QVP-OPVB), after passing through an anisotropic non-Kolmogorov turbulent atmosphere, are theoretically derived. Through numerical simulation, it is found that QVP can be regarded as a superposition of multiple OAM modes, and the energy transfer between OAM modes during the propagation can compensate for the degradation of the OAM spectrum caused by atmospheric turbulence. Compared to the OAM spectra of the Gaussian vortex beam carrying QVP (QVP-GVB), the QVP-OPVB has better anti-crosstalk performance in a turbulent environment with a long propagation distance and a small receiving aperture. This beam has applications in free-space optical communication to enhance the interference resistance of the communication link.","PeriodicalId":13204,"journal":{"name":"IEEE Photonics Journal","volume":"17 2","pages":"1-8"},"PeriodicalIF":2.1,"publicationDate":"2025-03-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10916930","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143698195","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Umbrella-Like Dual-Axis Mirror Scanner Fabricated With FDM 3D Printing and Its Application in Realizing a Dynamic FOV Camera","authors":"Ming-Te Chiang;Yi-Wen Cheng;Wei-An Tsui;Pin-Hung Yeh;Ching-Kai Shen;Jui-che Tsai","doi":"10.1109/JPHOT.2025.3548534","DOIUrl":"https://doi.org/10.1109/JPHOT.2025.3548534","url":null,"abstract":"In this paper, we demonstrate a low-cost mirror scanner design of umbrella-like architecture. The primary structures are 3D-printed using PLA (polylactic acid) as the material. A 400 mm<sup>2</sup> aluminum–deposited silicon chip is fixed on the mirror frame, which is part of the 3D-printed assembly, and serves as the reflective mirror. Miniature permanent magnets are embedded in the mirror frame so that the mirror can then be electromagnetically driven. Our latest-version scanner reaches optical scan angles of 7.8 and 7.4 degrees for the x- and y-scans at their resonant frequencies (37 Hz and 49 Hz), respectively. Under DC actuation, a full optical scan range of 10.1 degrees in the x- direction can be achieved when the voltage is tuned from +12 V (+0.089 A) to −12 V (−0.089 A). Additionally, we will demonstrate its integration with a smart phone camera to achieve a dynamic FOV (field of view).","PeriodicalId":13204,"journal":{"name":"IEEE Photonics Journal","volume":"17 2","pages":"1-6"},"PeriodicalIF":2.1,"publicationDate":"2025-03-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10910126","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143688155","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Photonics Breakthroughs 2024: Nonlinear Photonic Computing at Scale","authors":"Hao Wang;Jianqi Hu;Andrea Morandi;Alfonso Nardi;Fei Xia;Xuanchen Li;Romolo Savo;Qiang Liu;Rachel Grange;Sylvain Gigan","doi":"10.1109/JPHOT.2025.3547948","DOIUrl":"https://doi.org/10.1109/JPHOT.2025.3547948","url":null,"abstract":"A photonic neural network utilizes photons instead of electrons to process information, with the prospect of higher computing efficiency, lower power consumption, and reduced latency. This paper reviews several recent breakthroughs in large-scale photonic neural networks incorporating nonlinear operations. Specifically, we highlight our recent work, which leverages multiple light scattering and second harmonic generation in a slab of disordered lithium niobate nanocrystals for high-performance nonlinear photonic computing. The interplay of these optical effects not only enhances the computational capabilities of photonic neural networks but also increases the number of photonic computing operations. In addition, we discuss current challenges and outline future directions of nonlinear photonic computing. These advancements pave the way for exploring new frontiers in optical computing, unlocking opportunities for innovative experimental implementations, broad applications, and theoretical foundations of photonic neural networks.","PeriodicalId":13204,"journal":{"name":"IEEE Photonics Journal","volume":"17 2","pages":"1-4"},"PeriodicalIF":2.1,"publicationDate":"2025-03-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10909496","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143706806","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Estimation of an Abnormal Noise Location Over Multi-Span Optical Fiber Link Based on Nonlinear Fourier Transform","authors":"Takumi Motomura;Akihiro Maruta;Hideaki Shimpo;Ken Mishina","doi":"10.1109/JPHOT.2025.3546093","DOIUrl":"https://doi.org/10.1109/JPHOT.2025.3546093","url":null,"abstract":"In the next-generation optical fiber networks, in addition to ultra-high speed and high capacity, early recovery from disasters and failures is required to realize highly reliable networks. Recently, various methods for estimating abnormal locations using coherent receivers and digital signal processing have been proposed. This research proposes the application of nonlinear Fourier transform (NFT) for detecting abnormality. Particularly, we explore a method for estimating the abnormal noise location by monitoring the variances and covariance of the discrete eigenvalues in the NFT. The feasibility and characteristics of the proposed method are investigated through numerical simulations. For the details of the proposed method, we investigate the dependency of the eigenvalue configuration of signals, which is used for abnormality detection. Moreover, we confirm that the proposed method remains effective with variations in the noise level and the location of the abnormal noise. Ultimately, the proposed method achieves a kilometer-order estimation accuracy by employing appropriate parameters. In addition, we demonstrate that the proposed method is applicable to the case where the launch optical power is shifted from the optimum or an optical fiber link with a different span length.","PeriodicalId":13204,"journal":{"name":"IEEE Photonics Journal","volume":"17 2","pages":"1-14"},"PeriodicalIF":2.1,"publicationDate":"2025-02-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10904226","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143645320","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Generation of Random Microwave Pulse Based on Random Optoelectronic Oscillator","authors":"Junfeng Ren;Ping Li;Chenyang Ma;Zhengyang Xie;Xin Zhao;Zheng Zheng","doi":"10.1109/JPHOT.2025.3543866","DOIUrl":"https://doi.org/10.1109/JPHOT.2025.3543866","url":null,"abstract":"Optoelectronic oscillator (OEO) is a high-quality microwave source that can generate various forms of microwave signals, and structures for generating complex signals using OEO are constantly being proposed. We propose an OEO-based microwave pulse generation system where each sub-pulse is composed of random signal. The random fiber bragg gratings(R-FBG) were introduced to generate the random signal by using the OEO vibration characteristics. The output characteristics of the OEO loop are then modified by modulation of the bias voltage, thereby changing the output characteristics of the OEO loop. Finally, the present OEO system generates random microwave pulse signals with adjustable pulse envelopes, adjustable duty cycles and adjustable repetition rates.","PeriodicalId":13204,"journal":{"name":"IEEE Photonics Journal","volume":"17 2","pages":"1-8"},"PeriodicalIF":2.1,"publicationDate":"2025-02-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10896803","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143564180","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}