Iet Optoelectronics最新文献_第7页

Experimental Research on Image Transmission Over One Hundred Metres With Limited Bandwidth in a Semantic Ultraviolet Communication System 语义紫外通信系统有限带宽下百米图像传输的实验研究

IF 1.6 4区计算机科学

Iet Optoelectronics Pub Date : 2025-06-26 DOI: 10.1049/ote2.70010

Qibin Xu, Xukun Chen, Dahai Han, Min Zhang

{"title":"Experimental Research on Image Transmission Over One Hundred Metres With Limited Bandwidth in a Semantic Ultraviolet Communication System","authors":"Qibin Xu, Xukun Chen, Dahai Han, Min Zhang","doi":"10.1049/ote2.70010","DOIUrl":"10.1049/ote2.70010","url":null,"abstract":"Currently, ultraviolet (UV) communication is proposed for use in unmanned aerial vehicle (UAV) communication, while the efficient transmission of images with limited bandwidth has posed a persistent challenge. This paper introduces a light-emitting diode-based UV communication system combined with semantic compression for image transmission. The experimental results show that the proposed semantic UV communication (SUC) system could transform a 7.19 MB image to a file of approximately 304 kB with the aid of deep learning, effectively reducing the bandwidth required for transmission. In addition, by jointly designing the encoding and modulation process and incorporating the interference light signals from the receiver’s detector into the joint coding-modulation (JCM) system for training, the resulting modulation strategy is matched with the actual transmission conditions. The experimental results demonstrated that the system could work well over 100 m while sending images with good quality in the face of error bits interference.","PeriodicalId":13408,"journal":{"name":"Iet Optoelectronics","volume":"19 1","pages":""},"PeriodicalIF":1.6,"publicationDate":"2025-06-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1049/ote2.70010","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144493021","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Design of FBG-Based Sensing System for Meat Quality Assessment and Steak Cooking Optimisation 基于fbg的肉质评价与牛排烹饪优化传感系统设计

IF 1.6 4区计算机科学

Iet Optoelectronics Pub Date : 2025-06-20 DOI: 10.1049/ote2.70006

Jawad Mirza, Ahmad Atieh, Firdos Kanwal, Salman Ghafoor, Muhammad Ijaz, Benish Kanwal, Anwar Ul Haq, Ahmad Almogren

{"title":"Design of FBG-Based Sensing System for Meat Quality Assessment and Steak Cooking Optimisation","authors":"Jawad Mirza, Ahmad Atieh, Firdos Kanwal, Salman Ghafoor, Muhammad Ijaz, Benish Kanwal, Anwar Ul Haq, Ahmad Almogren","doi":"10.1049/ote2.70006","DOIUrl":"10.1049/ote2.70006","url":null,"abstract":"Water presence in raw meat not only degrades its quality by diluting the natural flavours, but also increases the risk of bacterial growth, altering texture, and juiciness which ultimately affects the quality of end products. Therefore, quality assessment of raw meat in markets as well as in eateries is important to ensure the consumer's safety and satisfaction. In this paper, we propose a nondestructive technique to detect water presence in raw meat and steak cooking temperature optimisation using a fibre Bragg grating (FBG) temperature sensor inserted into the piece of raw meat. The contribution of this paper is twofold: First, the water presence in the piece of raw meat is detected by analysing the shift in Bragg wavelength corresponding to time-dependent gradual decrease in temperature of heated probe of FBG sensor due to convective heat transfer from probe to meat. Secondly, the optimum cooking temperature of a particular type of steak is achieved after quality assessment of meat by analysing the shift in Bragg wavelength corresponding to time-dependent gradual increase in probe temperature due to convective heat transfer from meat to probe. The results show that the proposed sensing system can complete the error-free detection of water in 250 g piece of raw meat within 30 s for water contents of 50, 75, and 100 g which account for 20%, 30%, and 40% of the net weight of meat, respectively. Moreover, the simulated and experimental values of temperature sensitivity (TS) of FBG sensor used in this work are around 13 and 10 pm/°C, respectively. The proof of the concept of a smart restaurant based upon the proposed work is also discussed. This study provides a nondestructive, simple, and fast solution for detection of water in raw meat and achieving the optimum cooking temperature for different types of steaks.","PeriodicalId":13408,"journal":{"name":"Iet Optoelectronics","volume":"19 1","pages":""},"PeriodicalIF":1.6,"publicationDate":"2025-06-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1049/ote2.70006","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144331920","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

IF 1.6 4区计算机科学

Iet Optoelectronics Pub Date : 2025-06-20

引用次数: 0

Channel Characterisation for Underwater Optical Wireless Vertical Links 水下无线光纤垂直链路的信道特性

IF 1.6 4区计算机科学

Iet Optoelectronics Pub Date : 2025-06-11 DOI: 10.1049/ote2.70007

Alessandro Ugolini, Federica Poli, Daniele Croce, Stefano Mangione

引用次数: 0

Intelligent photonic computing: From free-space to on-chip integration 智能光子计算：从自由空间到片上集成

IF 1.6 4区计算机科学

Iet Optoelectronics Pub Date : 2025-06-11 DOI: 10.1049/ote2.12112

Xingchen Dong, Xiaofei Han, Yao Meng, Zehua Huang, Yuhang Ji, Binghui Niu, Dan Liang, Yueying Liang, Haiyan He, Zhang Zhou, Jingtao Fan

{"title":"Intelligent photonic computing: From free-space to on-chip integration","authors":"Xingchen Dong, Xiaofei Han, Yao Meng, Zehua Huang, Yuhang Ji, Binghui Niu, Dan Liang, Yueying Liang, Haiyan He, Zhang Zhou, Jingtao Fan","doi":"10.1049/ote2.12112","DOIUrl":"10.1049/ote2.12112","url":null,"abstract":"The increasing scalability of artificial intelligence (AI) algorithms has a high demand for efficient computing architectures and physical platforms. Intelligent photonic computing with high parallelism, high speed, low latency, and multi-dimensional data modulation properties shows its potential for dealing with current challenges of energy consumption in both computing clouds and edge devices. The implementation of photonic devices and physical computing systems for AI computing was reviewed from free-space to on-chip platforms. Firstly, the mathematics and physics of AI algorithms including feedforward neural network, recurrent neural network, and spiking neural network were introduced. Secondly, principles of devices and applications of new architectures including 3D and 2D metasurfaces which are based on diffractive deep neural network and on-chip waveguide devices including Mach–Zehnder interferometers and microring resonators were summarised. Thirdly, two emerging fields of AI computing including reconfigurability and non-linearity were surveyed, which are important factors of achieving in situ training and backpropagation towards the path of general AI computing. Finally, mainstream intelligent photonic computing platforms were compared, and the challenges were outlook.","PeriodicalId":13408,"journal":{"name":"Iet Optoelectronics","volume":"19 1","pages":""},"PeriodicalIF":1.6,"publicationDate":"2025-06-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1049/ote2.12112","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144264599","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

IF 1.6 4区计算机科学

Iet Optoelectronics Pub Date : 2025-06-11

引用次数: 0

IF 1.6 4区计算机科学

Iet Optoelectronics Pub Date : 2025-06-11

引用次数: 0

CNN-Based Human Detection and Identification in Indoor Optical Camera Communication Systems Using a Wearable LED Strip 基于cnn的可穿戴LED带室内光学摄像机通信系统中人的检测与识别

IF 1.6 4区计算机科学

Iet Optoelectronics Pub Date : 2025-05-15 DOI: 10.1049/ote2.70005

Eleni Niarchou, Atiya Fatima Usmani, Vicente Matus, Jose Rabadan, Victor Guerra, Luis Nero Alves, Rafael Perez-Jimenez

{"title":"CNN-Based Human Detection and Identification in Indoor Optical Camera Communication Systems Using a Wearable LED Strip","authors":"Eleni Niarchou, Atiya Fatima Usmani, Vicente Matus, Jose Rabadan, Victor Guerra, Luis Nero Alves, Rafael Perez-Jimenez","doi":"10.1049/ote2.70005","DOIUrl":"10.1049/ote2.70005","url":null,"abstract":"In this paper, we present a proof of concept for an indoor optical camera communication (OCC) system utilising a deep learning network to detect and identify humans wearing light-emitting diode (LED) strips. Specifically, we propose using the You Only Look Once (YOLO) version 8 object detection algorithm, which is built on convolutional neural networks (CNNs), to identify wearable LED transmitters in challenging scenarios such as low visibility, mobility and multiple users, followed by image processing to effectively decode the transmitted data. The red-green-blue (RGB) LED strip's colours (red, green, blue and white) serve as indicators of the user's status. By combining communication and monitoring functionalities, the LEDs facilitate not only the transmission of user data but also accurate detection, tracking and identification within the environment. This demonstrates the feasibility of utilising widely available devices like LED strips and cameras, commonly found in many buildings, with potential applications in high-risk environments where monitoring individuals' physical conditions is crucial. The obtained results indicate our system's effectiveness, as it achieved up to 100% success of reception (SoR) in a static experimental setup, 96.2% in a walking experimental setup with one user and showed no effectiveness with two users.","PeriodicalId":13408,"journal":{"name":"Iet Optoelectronics","volume":"19 1","pages":""},"PeriodicalIF":1.6,"publicationDate":"2025-05-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1049/ote2.70005","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144074319","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

IF 1.6 4区计算机科学

Iet Optoelectronics Pub Date : 2025-05-15

引用次数: 0

Opportunities, challenges and requirements for introducing space division multiplexing in fibre optical networks 在光纤网络中引入空分复用的机遇、挑战和要求

IF 1.6 4区计算机科学

Iet Optoelectronics Pub Date : 2025-05-15 Epub Date: 2025-02-04 DOI: 10.1049/ote2.12130

Gabriele Di Rosa, Lutz Rapp

引用次数: 0