Electronics Letters最新文献

{"title":"Unified diffusion-based object detection in multi-modal and low-light remote sensing images","authors":"Xu Sun,&nbsp;Yinhui Yu,&nbsp;Qing Cheng","doi":"10.1049/ell2.70093","DOIUrl":"https://doi.org/10.1049/ell2.70093","url":null,"abstract":"<p>Remote sensing object detection remains a challenge under complex conditions such as low light, adverse weather, modality attacks or losses. Previous approaches typically alleviate this problem by enhancing visible images or leveraging multi-modal fusion technologies. In view of this, the authors propose a unified framework based on YOLO-World that combines the advantages of both schemes, achieving more adaptable and robust remote sensing object detection in complex real-world scenarios. This framework introduces a unified modality modelling strategy, allowing the model to learn abundant object features from multiple remote sensing datasets. Additionally, a U-fusion neck based on the diffusion method is designed to effectively remove modality-specific noise and generate missing complementary features. Extensive experiments were conducted on four remote sensing image datasets: Multimodal VEDAI, DroneVehicle, unimodal VisDrone and UAVDT. This approach achieves average precision scores of 50.5<span></span><math>\u0000 <semantics>\u0000 <mo>%</mo>\u0000 <annotation>$%$</annotation>\u0000 </semantics></math>, 55.3<span></span><math>\u0000 <semantics>\u0000 <mo>%</mo>\u0000 <annotation>$%$</annotation>\u0000 </semantics></math>, 25.1<span></span><math>\u0000 <semantics>\u0000 <mo>%</mo>\u0000 <annotation>$%$</annotation>\u0000 </semantics></math>, and 20.7<span></span><math>\u0000 <semantics>\u0000 <mo>%</mo>\u0000 <annotation>$%$</annotation>\u0000 </semantics></math>, which outperforms advanced multimodal remote sensing object detection methods and low-light image enhancement techniques.</p>","PeriodicalId":11556,"journal":{"name":"Electronics Letters","volume":"60 22","pages":""},"PeriodicalIF":0.7,"publicationDate":"2024-11-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1049/ell2.70093","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142674124","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":"HRRPGraphNet: Make HRRPs to be graphs for efficient target recognition","authors":"Lingfeng Chen,&nbsp;Xiao Sun,&nbsp;Zhiliang Pan,&nbsp;Qi Liu,&nbsp;Zehao Wang,&nbsp;Xiaolong Su,&nbsp;Zhen Liu,&nbsp;Panhe Hu","doi":"10.1049/ell2.70088","DOIUrl":"https://doi.org/10.1049/ell2.70088","url":null,"abstract":"<p>High Resolution Range Profiles (HRRPs) have become a key area of focus in the domain of Radar Automatic Target Recognition (RATR). Despite the success of deep learning based HRRP recognition, these methods needs a large amount of training samples to generate good performance, which could be a severe challenge under non-cooperative circumstances. Currently, deep learning based models treat HRRPs as sequences, which may lead to ignorance of the internal relationship of range cells. This letter proposes HRRPGraphNet, a novel graph-theoretic approach, whose primary innovation is the use of the graph-theory of HRRP which models the spatial relationships among range cells through a range cell amplitude-based node vector and a range-relative adjacency matrix, enabling efficient extraction of both local and global features in noneuclidean space. Experiments on the aircraft electromagnetic simulation dataset confirmed HRRPGraphNet's superior accuracy and robustness compared with existing methods, particularly in limited training sample condition. This underscores the potential of graph-driven innovations in enhancing HRRP-based RATR, offering a significant advancement over sequence-based methods.</p>","PeriodicalId":11556,"journal":{"name":"Electronics Letters","volume":"60 22","pages":""},"PeriodicalIF":0.7,"publicationDate":"2024-11-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1049/ell2.70088","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142665894","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":"The restoration strategy for multiple faults in active distribution networks considering road-network coupling","authors":"Weiyan Liu,&nbsp;Hengyu Liu,&nbsp;Zhe Hu,&nbsp;Yanhong Luo","doi":"10.1049/ell2.70089","DOIUrl":"https://doi.org/10.1049/ell2.70089","url":null,"abstract":"<p>This brief investigates the multi-point fault repair problem in active distribution networks, establishing resilience assessment metrics and constructing a fault repair mathematical model with road network coupling. An improved genetic algorithm is proposed, utilizing a comparison crossover operator and population information entropy. Compared to traditional algorithms, the comparison crossover operator preserves high-quality genes, while population information entropy maintains diversity, preventing the algorithm from converging on local optima. Simulation analysis demonstrates that the proposed fault repair method can restore normal power supply to distribution network lines within a short period and offers significant advantages in fault repair tasks.</p>","PeriodicalId":11556,"journal":{"name":"Electronics Letters","volume":"60 22","pages":""},"PeriodicalIF":0.7,"publicationDate":"2024-11-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1049/ell2.70089","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142665893","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":"A DCNN-LSTM model for the construction of the road radio map","authors":"Yechao Luo,&nbsp;Wei Shao,&nbsp;Jun Jin,&nbsp;Yang Liu,&nbsp;Haizhou Lu,&nbsp;Hang Zou,&nbsp;Mengting Feng,&nbsp;Peng Zhang","doi":"10.1049/ell2.70082","DOIUrl":"https://doi.org/10.1049/ell2.70082","url":null,"abstract":"<p>It is crucial for vehicular communications to optimize the field strength coverage on roads, which can be illustrated by the radio map (RM). In this paper, a deep convolutional neural network-long short-term memory (DCNN-LSTM) model for the construction of the road RM is proposed. First, a multi-modal dataset is built, including the measured field strength, longitude, latitude and elevation data obtained at various measurement points, as well as the outline maps of the buildings that are close to the measurement points. Second, the DCNN-LSTM model is designed to extract electromagnetic and geographical features separately from the multi-modal input data and fuse them to predict the field strength at unmeasured points. Finally, the road RM is constructed using the measured and predicted field strength data. The simulation results demonstrate that the field strength prediction accuracy of the proposed model is better than that of the ordinary kriging and the traditional deep learning models. Moreover, it exhibits robust performance even in noise interference environments. The constructed RM also provides an intuitive visualization of field strength coverage along the target road.</p>","PeriodicalId":11556,"journal":{"name":"Electronics Letters","volume":"60 22","pages":""},"PeriodicalIF":0.7,"publicationDate":"2024-11-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1049/ell2.70082","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142665058","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":"Coherent integration method for high-speed target detection using angular inverse rotation transform","authors":"Le Wang,&nbsp;Haihong Tao,&nbsp;Aodi Yang,&nbsp;Fusen Yang","doi":"10.1049/ell2.70087","DOIUrl":"https://doi.org/10.1049/ell2.70087","url":null,"abstract":"<p>High-speed target often induces severe across range unit problem in the long-time coherent integration (LTCI). This paper designates the bottom-right corner of the 2-D compressed signal as the coordinate system origin. It establishes a novel angular inverse rotation transform that accurately corrects target's trajectory to the final location and achieves signal energy accumulation. Numerical simulation experiments and real-world measured data confirm the effectiveness of the proposed method.</p>","PeriodicalId":11556,"journal":{"name":"Electronics Letters","volume":"60 22","pages":""},"PeriodicalIF":0.7,"publicationDate":"2024-11-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1049/ell2.70087","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142641805","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":"Adaptive constellation scheme for QAM using unsupervised learning","authors":"Yeonsoo Jang","doi":"10.1049/ell2.70086","DOIUrl":"https://doi.org/10.1049/ell2.70086","url":null,"abstract":"<p>This letter proposes an adaptive constellation scheme that uses an optimal constellation according to the signal-to-noise ratio. An efficient decision method based on unsupervised learning is proposed to ensure satisfactory error performance of the adaptive constellation scheme. Upon verification, the proposed scheme is found to exhibit improved error performance, compared to the fixed constellation scheme.</p>","PeriodicalId":11556,"journal":{"name":"Electronics Letters","volume":"60 22","pages":""},"PeriodicalIF":0.7,"publicationDate":"2024-11-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1049/ell2.70086","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142641803","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":"Guest Editorial: Memristive electronic circuits, neural networks and neuromorphic computing","authors":"Yichuang Sun","doi":"10.1049/ell2.70092","DOIUrl":"https://doi.org/10.1049/ell2.70092","url":null,"abstract":"&lt;p&gt;The theoretical concept of memristor was first proposed as the fourth basic circuit element by Chua in 1971. It defines the relationship between electric charge and magnetic flux. The first physical implementation of memristor was realised by HP Labs in 2008. It was fabricated in advanced nano technology. Intensive research has since been conducted on the development of memristors across the whole world and wide applications of memristors have also been explored. Since they are smaller nano device, consume less power, and have both memory and processing functions, memristors have been widely recognised to be the future of electronics, computing and AI. For example, they will play a key role in emerging edge computing and brain-like computing.&lt;/p&gt;&lt;p&gt;The aim of the Special Issue is to follow the state of the arts of memristor-based circuits and systems, with particular focus on memristive electronic circuits, neural networks and neuromorphic computing, publish original technical papers reflecting the most recent research and application results, and identify new challenges and ways forward for future research and applications in this emerging fast-growing field.&lt;/p&gt;&lt;p&gt;A good number of submissions have been received. After rigorous review, six papers have been selected for publication in the Special Issue. These papers cover a wide range of topics in memristive electronic circuits, neural networks and neuromorphic computing.&lt;/p&gt;&lt;p&gt;The paper entitled Drift of Invariant Manifolds and Transient Chaos in Memristor Chua's Circuit by Di Marco et al. studies non-linear dynamics of Chua's circuit with a memristor. Transient chaos phenomena are observed in a generalized memristor Chua's circuit where a non-linear resistor is connected in parallel with the memristor to better model a real memristor behaviour. Through the flux-charge analysis method the authors find that the origin of transient chaos is due to the drift of the index of the memristor circuit invariant manifolds caused by the charge flowing into the non-linear resistor.&lt;/p&gt;&lt;p&gt;The paper Design of Chaotic Circuit based on Knowm Memristor by Wang et al. presents the model and the corresponding parameter identification of the Knowm memristor and designs a non-linear chaotic circuit based on the Knowm memristor. The authors analyse equilibrium points and stability of the Knowm memristor chaotic circuit and present nonlinear dynamic behaviour by using the bifurcation diagram and Lyapunov exponents. The designed Knowm memristor chaotic circuit is implemented and tested with the experimental results confirming the theoretical predictions.&lt;/p&gt;&lt;p&gt;In the paper entitled Dynamic Symmetrization in a Memristive HR Neuron, Huang et al. introduce a memristor as a synapse in the HR neuron to form a memristive HR neuron. The constructed memristive HR neuron with the aid of the absolute value and signum function exhibits attractor doubling and complex coexisting symmetrical firing patterns. The process of attrac","PeriodicalId":11556,"journal":{"name":"Electronics Letters","volume":"60 22","pages":""},"PeriodicalIF":0.7,"publicationDate":"2024-11-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1049/ell2.70092","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142642000","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":"E- and H-plane beamwidth-reconfigurable MIMO antenna","authors":"Mingye Du,&nbsp;Weiyang Liu,&nbsp;Yanzhen Liang,&nbsp;Peng He,&nbsp;Lei Ge","doi":"10.1049/ell2.70083","DOIUrl":"https://doi.org/10.1049/ell2.70083","url":null,"abstract":"<p>A novel E- and H-plane beamwidth-reconfigurable Multiple Input Multiple Output (MIMO) antenna is presented here. The antenna consists of four two-dimensional directional reconfigurable antenna elements that utilizes Positive-Intrinsic-Negative (PIN) diodes to achieve stable beamwidth reconfiguration in both the E-plane and the H-plane. Simulated and testing results of the fabricated prototype demonstrate that the operating frequency of the antenna ranges from 2.52 to 2.68 GHz across four different states. The beamwidth can switch between approximately 65° and 95° in both planes. The isolation between units exceeds 25 dB, and the radiation performance is stable with high efficiency. This antenna is particularly suitable for applications in 5G indoor communications.</p>","PeriodicalId":11556,"journal":{"name":"Electronics Letters","volume":"60 22","pages":""},"PeriodicalIF":0.7,"publicationDate":"2024-11-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1049/ell2.70083","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142641759","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":"Path planning strategies for logistics robots: Integrating enhanced A-star algorithm and DWA","authors":"Xianyang Zeng,&nbsp;Jiawang Zhang,&nbsp;Wenhui Yin,&nbsp;Hongli Yang,&nbsp;Hao Yu,&nbsp;Yuansheng Liang,&nbsp;Jinwu Tong","doi":"10.1049/ell2.70090","DOIUrl":"https://doi.org/10.1049/ell2.70090","url":null,"abstract":"<p>Path planning is the key part in the process of transportation conducted by logistics robots, and there often exist some problems with it. The path designed is not always smooth enough and its search efficiency is low, for example. As a common global path planning algorithm, A-star is based on the traditional algorithm, which is unable to solve the problem of uneven path in the movement of logistics robots. Through improving the heuristic function of the traditional A-star algorithm, weighing the heuristic function dynamically, removing the redundant points of the traditional star algorithm path with Floyd algorithm, and setting a safe distance to prevent the logistics robot from collision at the same time, the path is finally curved to be more appropriate to the movement path of the logistics robot. The MATLAB simulation of A-star algorithm before and after the improvement shows that the turning points of the advanced A-star algorithm reduced 61.5% on average compared to the traditional algorithm. The path length decreased 2.4% and the traversing points reduced 58.5%. At the same time, the DWA algorithm introduces dynamic weight coefficients, which can dynamically adjust the weight coefficients when encountering obstacles, so as to safely reach the target point.</p>","PeriodicalId":11556,"journal":{"name":"Electronics Letters","volume":"60 22","pages":""},"PeriodicalIF":0.7,"publicationDate":"2024-11-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1049/ell2.70090","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142641760","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":"Implementation of entropically secure encryption: Securing personal health data","authors":"Mehmet Hüseyin Temel,&nbsp;Boris Škorić,&nbsp;Idelfonso Tafur Monroy","doi":"10.1049/ell2.70065","DOIUrl":"https://doi.org/10.1049/ell2.70065","url":null,"abstract":"<p>Entropically secure encryption (ESE) offers unconditional security with shorter keys compared to the One-Time Pad. Here, the first implementation of ESE for bulk encryption is presented. The main computational bottleneck for bulk ESE is a multiplication in a very large finite field. This involves multiplication of polynomials followed by modular reduction. A polynomial multiplication is implemented based on the <span>gf2x</span> library, with modifications that avoid inputs of vastly different length, thus improving speed. Additionally, a recently proposed efficient reduction algorithm that works for any polynomial degree is implemented. Two use cases are investigated: x-ray images of patients and human genome data. Entropy estimation is conducted using compression methods whose results determine the key lengths required for ESE. The running times for all steps of the encryption are reported. The potential of ESE to be used in conjunction with quantum key distribution (QKD), in order to achieve full information-theoretic security of QKD-protected links for these use cases is discussed.</p>","PeriodicalId":11556,"journal":{"name":"Electronics Letters","volume":"60 22","pages":""},"PeriodicalIF":0.7,"publicationDate":"2024-11-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1049/ell2.70065","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142641952","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}