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description Publicationkeyboard_double_arrow_right Article 2024Publisher:Elsevier BV Yaoqiang Pan; Kewei Hu; Hao Cao; Hanwen Kang; Xing Wang;Agricultural robots must navigate challenging dynamic and semi-structured environments. Recently, environmental modeling using LiDAR-based SLAM has shown promise in providing highly accurate geometry. However, how this chaotic environmental information can be used to achieve effective robot automation in the agricultural sector remains unexplored. In this study, we propose a novel semantic mapping and navigation framework for achieving robotic autonomy in orchards. It consists of two main components: a semantic processing module and a navigation module. First, we present a novel 3D detection network architecture, 3D-ODN, which can accurately process object instance information from point clouds. Second, we develop a framework to construct the visibility map by incorporating semantic information and terrain analysis. By combining these two critical components, our framework is evaluated in a number of key horticultural production scenarios, including a robotic system for in-situ phenotyping and daily monitoring, and a selective harvesting system in apple orchards. The experimental results show that our method can ensure high accuracy in understanding the environment and enable reliable robot autonomy in agricultural environments.
arXiv.org e-Print Ar... arrow_drop_down arXiv.org e-Print ArchiveOther literature type . Preprint . 2023Data sources: arXiv.org e-Print ArchiveComputers and Electronics in AgricultureArticle . 2024 . Peer-reviewedLicense: Elsevier TDMData sources: Crossrefadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
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You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1016/j.compag.2024.108769&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen 0 citations 0 popularity Average influence Average impulse Average Powered by BIP!more_vert arXiv.org e-Print Ar... arrow_drop_down arXiv.org e-Print ArchiveOther literature type . Preprint . 2023Data sources: arXiv.org e-Print ArchiveComputers and Electronics in AgricultureArticle . 2024 . Peer-reviewedLicense: Elsevier TDMData sources: Crossrefadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1016/j.compag.2024.108769&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article 2024 FinlandPublisher:Institute of Electrical and Electronics Engineers (IEEE) Jingyi Wu; Tianheng Xu; Ting Zhou; Xianfu Chen; Honglin Hu; Celimuge Wu;With the rapid growth in the requirements of the Internet of Things (IoT), the scarcity of spectrum resources is becoming serious. Non-orthogonal multiple access (NOMA) and spectrum sensing offer the opportunity of addressing spectrum shortage to some extent. In particular, NOMA stably enables multiple users to share the same frequency band, while spectrum sensing dynamically detects the target spectrum utilization. However, due to the characteristics of NOMA, the application of spectrum sensing to the uplink IoT systems makes the process more complex, also brings the challenge of obtaining the target users’ states accurately from interfered multi-user signals. Meanwhile, the combination of NOMA and spectrum sensing does not reach the upper bound of spectrum utilization. Under the context, we are motivated to propose an adaptive NOMA-based spectrum sensing method for uplink IoT networks, which aims to flexibly and precisely identify the target frequency usage. The relationship among the threshold, the false-alarm probability, and the transmission willingness are derived in closed form. We also customize a sensing algorithm of the complete adaptive working mechanism. Numerical results clarify that the proposed method achieves stability under different SNRs and transmission willingness, while improves the system throughput which outperforms the existing technologies by 38.20%.
VTT Research Informa... arrow_drop_down https://doi.org/10.1109/tccn.2...Article . 2024 . Peer-reviewedLicense: IEEE CopyrightData sources: Crossrefadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1109/tccn.2023.3315455&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eu0 citations 0 popularity Average influence Average impulse Average Powered by BIP!more_vert VTT Research Informa... arrow_drop_down https://doi.org/10.1109/tccn.2...Article . 2024 . Peer-reviewedLicense: IEEE CopyrightData sources: Crossrefadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1109/tccn.2023.3315455&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article 2024Publisher:Canadian Science Publishing Yuanxi Liu; Junwen Wu; Danzi Wu; Jiandong Xiao; Jianli Sun; Zhijuan Zhao;Seasonal changes in carbon (C), nitrogen (N), and phosphorus (P) stoichiometry and water-use efficiency (WUE) in the needles of Pinus armandii were investigated. The needles of P. armandii were sampled in January, May, August, and November 2021. The results showed that (1) the needle δ13C values of young P. armandii forests were higher than those of middle-aged P. armandii forests, and these differences were significant in winter. (2) Both young and middle-aged P. armandii forests were restricted by N and P, and P. armandii was more restricted by N in summer, autumn, and winter. (3) Needle δ13C values were significantly positively correlated with P and negatively correlated with N, C/P, and N/P in young P. armandii forests; P. armandii (especially young stands) can compensate for decreases in N-use efficiency by increasing WUE. The C, N, and P content and their stoichiometric ratios were affected by a combination of season, stand age, and WUE. This study contributes to an in-depth understanding of the adaptive mechanisms of nutrients and WUE in P. armandii in the subtropical region. Our findings also have implications for the management of P. armandii plantations in the study area.
Canadian Journal of ... arrow_drop_down Canadian Journal of Forest ResearchArticle . 2024 . Peer-reviewedLicense: CSP TDMData sources: Crossrefadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1139/cjfr-2023-0078&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eu0 citations 0 popularity Average influence Average impulse Average Powered by BIP!more_vert Canadian Journal of ... arrow_drop_down Canadian Journal of Forest ResearchArticle . 2024 . Peer-reviewedLicense: CSP TDMData sources: Crossrefadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1139/cjfr-2023-0078&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article 2024 FinlandPublisher:Institute of Electrical and Electronics Engineers (IEEE) Bin Rao; Jie Hu; Azzam Al-Nahari; Kun Yang; Riku Jäntti;In this letter, we investigate the issue of physical layer security in unmanned aerial vehicle (UAV)-assisted backscatter communication. The scenario involves a single UAV, a single passive backscatter device (BD), in the presence of a single eavesdropper (ED) attempting to intercept the backscattered information from the BD. To counteract the ED’s efforts, we propose an artificial noise (AN) injection scheme to degrade the ED link. We aim to maximize the secrecy rate of the BD by optimizing three key factors: the UAV’s hovering position, the power allocation factor, and the reflection coefficient of the BD. For this system setting, we derive the secrecy rate and formulate an optimization problem to optimize these variables. Due to the non-convex nature of the problem, we design an iterative algorithm based on the alternating optimization (AO) algorithm for maximizing the secrecy rate. Additionally, we provide insights into the impact of various system parameters on the overall performance. Notably, we demonstrate that the power allocation factor and the hovering altitude of the UAV play important roles for achieving secure communication. Publisher Copyright: IEEE Peer reviewed
Aaltodoc Publication... arrow_drop_down Aaltodoc Publication ArchiveArticle . 2023 . Peer-reviewedData sources: Aaltodoc Publication ArchiveIEEE Wireless Communications LettersArticle . 2024 . Peer-reviewedLicense: IEEE CopyrightData sources: Crossrefadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1109/lwc.2023.3324914&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eu0 citations 0 popularity Average influence Average impulse Average Powered by BIP!more_vert Aaltodoc Publication... arrow_drop_down Aaltodoc Publication ArchiveArticle . 2023 . Peer-reviewedData sources: Aaltodoc Publication ArchiveIEEE Wireless Communications LettersArticle . 2024 . Peer-reviewedLicense: IEEE CopyrightData sources: Crossrefadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1109/lwc.2023.3324914&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article 2024 TurkeyPublisher:Institute of Electrical and Electronics Engineers (IEEE) Haozhi Wang; Qing Wang; Luyong Chen; Guanyang Fu; Xiaofeng Liu; Zhicheng Dong; Erdal Panayirci;Intelligent electromagnetic signature recognition is one of the key technologies in Internet-of-Things (IoT) device connection, which can improve system security and speed up the authentication process. In practical scenarios, as the number of IoT devices increases, electromagnetic features such as fingerprint and modulation signals also increase substantially. However, since intelligent recognition technology, such as Automatic Modulation Classification (AMC), requires a large amount of labeled data to train the neural network classifier, it is challenging to collect so much labeled data. To address the performance degradation challenges with small training data, we propose an efficient semi-supervised electromagnetic recognition framework to break the performance gap with the fully supervised learning scheme. This framework can fully use the unlabeled electromagnetic data collected during the authentication process for self-training to improve the classifier’s performance. According to the idea of consistency regularization, we design a signal augmentation method and propose an ensemble pseudo-label design algorithm to improve confidence. Moreover, we perform a convex combination of electromagnetic features to smooth the model decision boundary while generalizing to unknown data distribution regions. Experimental results on the modulated data demonstrate the performance superiority of the proposed algorithm, i.e., use less than 5% of data with no more than 10% performance drop. IEEE
https://doi.org/10.1... arrow_drop_down https://doi.org/10.1109/jiot.2...Article . 2024 . Peer-reviewedLicense: IEEE CopyrightData sources: CrossrefKadir Has University Academic RepositoryArticle . 2023Data sources: Kadir Has University Academic Repositoryadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1109/jiot.2023.3295397&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eu0 citations 0 popularity Average influence Average impulse Average Powered by BIP!more_vert https://doi.org/10.1... arrow_drop_down https://doi.org/10.1109/jiot.2...Article . 2024 . Peer-reviewedLicense: IEEE CopyrightData sources: CrossrefKadir Has University Academic RepositoryArticle . 2023Data sources: Kadir Has University Academic Repositoryadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1109/jiot.2023.3295397&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article 2024Publisher:FapUNIFESP (SciELO) Authors: Ting Jin; Lei Li;Ting Jin; Lei Li;ABSTRACT: Pork price fluctuations are closely related to the national economy and people’s livelihoods in China. Based on the monthly pork price fluctuations in China from January 2011 to August 2022, this study uses ARCH family models to assess the characteristics and laws of these fluctuations in China. The pork price fluctuations show obvious clustering, with external shock information from the previous month affecting the pork price in the following period; the pork market price is characterized by risk compensation, with the high risk of pork supply driving the pork price up. In addition, the pork price fluctuations are characterized by asymmetry, with a greater impact of good than of bad news on the pork price. Due to the pork industry’ low entry threshold and the existence of sunk costs, positive information on the pork market has a stronger impact on price fluctuations than negative information. To guide pork supply, we recommend improving monitoring and early-warning mechanisms in the pork market to identify the pork price volatility threshold and measure the price volatility. In addition, price index insurance products should be constantly strengthened, with different types of insurance products being offered to meeting the insurance demand of various sectors in the pig meat supply chain.
add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1590/0103-8478cr20220197&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess Routesgold 1 citations 1 popularity Average influence Average impulse Average Powered by BIP!more_vert add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1590/0103-8478cr20220197&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article 2024Publisher:FapUNIFESP (SciELO) Chen FeiZhang; Xiao HongXie; Yong Hong Jia; Qing HaoWang; Qing Chun Yue; Wen Jing Wang; Si JiaLv; Fan He; Yue Yan Wu; Zhi Hui Chen;ABSTRACT: Rhododendron fortune belongs to a scented Rhododendron species native to China, which produces fragrant flowers of great ornamental and environmental values for landscaping or indoor beautification. However, the scents in Rhododendron fortuneihave not yet been investigated, let alone the mechanism of the formation of these fragrance in the flowers. In this study, we measured the scents in terms of its volatile components and contents (VOC) in Rhododendron fortuneiat four different flowering stages and in different tissues of the plant by headspace solid-phase micro-extraction combined (HS-SPME) with gas chromatography-mass spectrometry (GC-MS). Then the characteristic aromatic values, which reflects the degree of scent perception by human, of each VOC in the plant was calculated according to its respective aromatic thresholds. Results showed that three main VOCs measured from highest to lowest are methyl benzoates, terpenes and fatty acid derivatives. Their content increased after the flower bud opening and reached the highest at half to full blossom. In a flower most VOC contents were measured in petals and only trace amount in other tissues such as stamen, pistil. A small amount of VOCs was determined in leaves as well.All aromatic values were almost corresponded to the contents of three main VOCs, indicating that the flower fragrance arises truly from these VOC components. S-adenosyl-L-methionine: benzoic acid carboxyl methyl transferase (BAMT) catalyzes the final step to form methyl benzoates. To understand the mechanism of the formation of this main type fragrance and its regulation, we firstly isolate a gene of RfBAMT from petal of Rhododendron fortuneiby using homologous cloning and RACE technology. The full length of its cDNA was 1383 bp,with an open reading frame of 1104 bp, encoding a total of 368 amino acids. The phylogenetic tree analysis showed that RfBAMT was the closest to the BSMT of Camellia japonica, belonging to methyltransferases family. Then we measured the expression level of RfBAMT again at four flower developmental stages and in different flower tissues and leaves. The results showed that the expression level of this gene was highly positively correlated with the emitted content of methyl benzoates in the flowering, implying that RfBAMT plays a pivotal role in the formation and regulation of methyl benzoates in Rhododendron fortune.Thisresearchshowed that the RfBAMT was cloned and identified in our study and its expression level was highly positively correlated with the emitted content of methyl benzoates in the flowers and leaves, which indicated this gene may play an important role on regulation of methyl benzoate synthesis in Rhododendron fortunei. RESUMO: Rhododendron fortunei pertence a uma espécie de rododendro perfumada nativa da China, que produz flores perfumadas de grande valor ornamental e ambiental para paisagismo ou embelezamento de interiores. No entanto, os aromas em Rhododendron fortunei ainda não foram investigados, muito menos o mecanismo de formação dessas fragrâncias nas flores. Neste estudo, medimos os aromas em termos de seus componentes e conteúdos voláteis (VOC) em Rhododendron fortunei em quatro diferentes estágios de floração e em diferentes tecidos da planta por microextração em fase sólida headspace combinada com cromatografia gasosa-espectrometria de massa. Em seguida, foram calculados os valores aromáticos característicos, que refletem o grau de percepção olfativa pelo ser humano, de cada VOC na planta de acordo com seus respectivos limiares aromáticos. Os resultados mostraram que três COVs principais medidos do mais alto ao mais baixo são benzoatos de metila, terpenos e derivados de ácidos graxos. Seu conteúdo aumentou após a abertura do botão floral e atingiu o máximo na metade da floração total. Em uma flor, a maioria dos teores de COV foram medidos em pétalas e apenas traços em outros tecidos, como estame, pistilo. Uma pequena quantidade de COVs foi determinada nas folhas também. Todos os valores aromáticos foram quase correspondentes aos teores de três COVs principais, indicando que a fragrância da flor surge verdadeiramente desses componentes de COV. Para entender o mecanismo de formação deste tipo principal de fragrância e sua regulação, primeiramente isolamos um gene de RfBAMT da pétala de Rhododendron fortunei usando clonagem homóloga e tecnologia RACE. O comprimento total de seu cDNA era de 1383 bp, com um quadro de leitura aberto de 1104 bp, codificando um total de 368 aminoácidos. A análise da árvore filogenética mostrou que RfBAMT foi o mais próximo do BSMT de Camellia japonica, pertencente à família das metiltransferases. Em seguida, medimos o nível de expressão de RfBAMT novamente em quatro estágios de desenvolvimento da flor e em diferentes tecidos e folhas de flores. Os resultados mostraram que o nível de expressão deste gene foi altamente correlacionado positivamente com o conteúdo emitido de benzoatos de metila na floração, implicando que RfBAMT desempenha um papel fundamental na formação e regulação de benzoatos de metila em Rhododendron fortune foi clonado e identificado em nosso estudo e seu nível de expressão foi altamente correlacionado positivamente com o conteúdo emitido de benzoatos de metila nas flores e folhas, o que indicou que este gene pode desempenhar um papel importante na regulação da síntese de benzoato de metila em Rhododendron fortunei.
Ciência Rural arrow_drop_down Scientific Electronic Library Online - BrazilArticle . 2023License: CC BYData sources: Scientific Electronic Library Online - Braziladd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1590/0103-8478cr20220020&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess Routesgold 0 citations 0 popularity Average influence Average impulse Average Powered by BIP!more_vert Ciência Rural arrow_drop_down Scientific Electronic Library Online - BrazilArticle . 2023License: CC BYData sources: Scientific Electronic Library Online - Braziladd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1590/0103-8478cr20220020&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article 2024Publisher:Institute of Electrical and Electronics Engineers (IEEE) Lan Zhang; Yang Wang; Linzi Yang; Jianfeng Chen; Zijie Liu; Lifeng Bian; Chen Yang;Hyperspectral image (HSI) classification has become a popular research topic in recent years, and transformer-based networks have demonstrated superior performance by analyzing global semantic features. However, using transformers for pixel-level HSI classification has two limitations: ineffective capture of spatial-spectral correlations and inadequate exploitation of local features. To address these challenges, we propose a dual-dimension self-attention (D2SA) mechanism that fully exploits HIS's high spectral-spatial correlation by using two separate branches to model the global dependence of features from the spectral and spatial dimensions. Additionally, we develop a multilayer residual convolution module that extracts local features and introduces shallow-deep feature interactions to obtain more discriminative representations. Based on these components, we propose a dual-dimension spectral-spatial bottleneck transformer (D2S2BoT) framework for HSI classification that simultaneously models the local interactions and global dependencies of HSI pixels to achieve high-precision classification. By virtue of the D2SA mechanism, the introduced D2S2BOT framework can produce competitive classification results with a limited number of training samples on three well-known datasets, which we hope will provide a strong baseline for future research on transformers in the field of HSI.
IEEE Journal of Sele... arrow_drop_down IEEE Journal of Selected Topics in Applied Earth Observations and Remote SensingArticle . 2024Data sources: DOAJIEEE Journal of Selected Topics in Applied Earth Observations and Remote SensingArticle . 2024 . Peer-reviewedLicense: CC BY NC NDData sources: Crossrefadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1109/jstars.2023.3342461&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess Routesgold 0 citations 0 popularity Average influence Average impulse Average Powered by BIP!more_vert IEEE Journal of Sele... arrow_drop_down IEEE Journal of Selected Topics in Applied Earth Observations and Remote SensingArticle . 2024Data sources: DOAJIEEE Journal of Selected Topics in Applied Earth Observations and Remote SensingArticle . 2024 . Peer-reviewedLicense: CC BY NC NDData sources: Crossrefadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1109/jstars.2023.3342461&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article 2024Publisher:Institute of Electrical and Electronics Engineers (IEEE) Qian Cheng; Xin Li; Taoyang Wang; Boyang Jiang; He Fu; Yunming Wang; Feida Zhang;Remote sensing sensor platforms are typically located at a significant distance from the ground, ranging from several hundred meters to hundreds of kilometers. This means that, compared to natural images, remote sensing images (RSI) have larger coverage areas and more complex information. The larger size and data volume of RSI presents challenges for computer vision matching algorithms (MAs), making it difficult to apply them directly to RSI matching. Moreover, a matching framework for multisource RSIs capable of large-scale processing by integrating multiple MAs with the entire RSI as input is presently lacking. This study proposes a tie points (TPs) matching framework of multisource remote sensing images based on the geometric and radiation characteristics of RSI. First, RSI is divided into different grids and undergoes local geometry correction. Next, matching between slice images is performed by MAs. Finally, TPs are generated by mapping matched points in multiple slice images to the whole RSI using a geometric processing model. Six representative MAs including artificial feature MAs and deep learning algorithms are integrated into the framework to match TPs from different RSI. Results demonstrate the extraction of TPs for multisource RSI, validating the framework's efficacy. In addition, a large-scale TPs matching test for deep learning MA is performed by using 13 synthetic aperture radar images (10-m resolution) with TPs root mean square error of 0.368 pixels, further confirming the framework's reliability.
IEEE Journal of Sele... arrow_drop_down IEEE Journal of Selected Topics in Applied Earth Observations and Remote SensingArticle . 2024Data sources: DOAJIEEE Journal of Selected Topics in Applied Earth Observations and Remote SensingArticle . 2024 . Peer-reviewedLicense: CC BY NC NDData sources: Crossrefadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1109/jstars.2023.3331251&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess Routesgold 0 citations 0 popularity Average influence Average impulse Average Powered by BIP!more_vert IEEE Journal of Sele... arrow_drop_down IEEE Journal of Selected Topics in Applied Earth Observations and Remote SensingArticle . 2024Data sources: DOAJIEEE Journal of Selected Topics in Applied Earth Observations and Remote SensingArticle . 2024 . Peer-reviewedLicense: CC BY NC NDData sources: Crossrefadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1109/jstars.2023.3331251&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article 2024Publisher:Institute of Electrical and Electronics Engineers (IEEE) Authors: Wensheng Fan; Fan Liu; Jingzhi Li;Wensheng Fan; Fan Liu; Jingzhi Li;Pansharpening is a fundamental and crucial image processing task for many remote sensing applications, which generates a high-resolution multispectral image by fusing a low-resolution multispectral image and a high-resolution panchromatic image. Recently, vision transformers have been introduced into the pansharpening task for utilizing global contextual information. However, long-range and local dependencies modeling and multiscale feature learning are all essential to the pansharpening task. Learning and exploiting these various information raises a big challenge and limits the performance and efficiency of existing pansharpening methods. To solve this issue, we propose a pansharpening network based on multiscale embedding and dual attention transformers (MDPNet). Specifically, a multiscale embedding block is proposed to embed multiscale information of the images into vectors. Thus, transformers only need to process a multispectral embedding sequence and a panchromatic embedding sequence to efficiently use multiscale information. Furthermore, an additive hybrid attention transformer is proposed to fuse the embedding sequences in an additive injection manner. Finally, a channel self-attention transformer is proposed to utilize channel correlations for high-quality detail generation. Experiments over QuickBird and WorldView-3 datasets demonstrate the proposed MDPNet outperforms state-of-the-art methods visually and quantitatively with low running time. Ablation studies further verify the effectiveness of the proposed multiscale embedding and transformers in pansharpening.
IEEE Journal of Sele... arrow_drop_down IEEE Journal of Selected Topics in Applied Earth Observations and Remote SensingArticle . 2024Data sources: DOAJIEEE Journal of Selected Topics in Applied Earth Observations and Remote SensingArticle . 2024 . Peer-reviewedLicense: CC BYData sources: Crossrefadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1109/jstars.2023.3344215&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess Routesgold 0 citations 0 popularity Average influence Average impulse Average Powered by BIP!more_vert IEEE Journal of Sele... arrow_drop_down IEEE Journal of Selected Topics in Applied Earth Observations and Remote SensingArticle . 2024Data sources: DOAJIEEE Journal of Selected Topics in Applied Earth Observations and Remote SensingArticle . 2024 . Peer-reviewedLicense: CC BYData sources: Crossrefadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1109/jstars.2023.3344215&type=result"></script>'); --> </script>
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description Publicationkeyboard_double_arrow_right Article 2024Publisher:Elsevier BV Yaoqiang Pan; Kewei Hu; Hao Cao; Hanwen Kang; Xing Wang;Agricultural robots must navigate challenging dynamic and semi-structured environments. Recently, environmental modeling using LiDAR-based SLAM has shown promise in providing highly accurate geometry. However, how this chaotic environmental information can be used to achieve effective robot automation in the agricultural sector remains unexplored. In this study, we propose a novel semantic mapping and navigation framework for achieving robotic autonomy in orchards. It consists of two main components: a semantic processing module and a navigation module. First, we present a novel 3D detection network architecture, 3D-ODN, which can accurately process object instance information from point clouds. Second, we develop a framework to construct the visibility map by incorporating semantic information and terrain analysis. By combining these two critical components, our framework is evaluated in a number of key horticultural production scenarios, including a robotic system for in-situ phenotyping and daily monitoring, and a selective harvesting system in apple orchards. The experimental results show that our method can ensure high accuracy in understanding the environment and enable reliable robot autonomy in agricultural environments.
arXiv.org e-Print Ar... arrow_drop_down arXiv.org e-Print ArchiveOther literature type . Preprint . 2023Data sources: arXiv.org e-Print ArchiveComputers and Electronics in AgricultureArticle . 2024 . Peer-reviewedLicense: Elsevier TDMData sources: Crossrefadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1016/j.compag.2024.108769&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen 0 citations 0 popularity Average influence Average impulse Average Powered by BIP!more_vert arXiv.org e-Print Ar... arrow_drop_down arXiv.org e-Print ArchiveOther literature type . Preprint . 2023Data sources: arXiv.org e-Print ArchiveComputers and Electronics in AgricultureArticle . 2024 . Peer-reviewedLicense: Elsevier TDMData sources: Crossrefadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1016/j.compag.2024.108769&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article 2024 FinlandPublisher:Institute of Electrical and Electronics Engineers (IEEE) Jingyi Wu; Tianheng Xu; Ting Zhou; Xianfu Chen; Honglin Hu; Celimuge Wu;With the rapid growth in the requirements of the Internet of Things (IoT), the scarcity of spectrum resources is becoming serious. Non-orthogonal multiple access (NOMA) and spectrum sensing offer the opportunity of addressing spectrum shortage to some extent. In particular, NOMA stably enables multiple users to share the same frequency band, while spectrum sensing dynamically detects the target spectrum utilization. However, due to the characteristics of NOMA, the application of spectrum sensing to the uplink IoT systems makes the process more complex, also brings the challenge of obtaining the target users’ states accurately from interfered multi-user signals. Meanwhile, the combination of NOMA and spectrum sensing does not reach the upper bound of spectrum utilization. Under the context, we are motivated to propose an adaptive NOMA-based spectrum sensing method for uplink IoT networks, which aims to flexibly and precisely identify the target frequency usage. The relationship among the threshold, the false-alarm probability, and the transmission willingness are derived in closed form. We also customize a sensing algorithm of the complete adaptive working mechanism. Numerical results clarify that the proposed method achieves stability under different SNRs and transmission willingness, while improves the system throughput which outperforms the existing technologies by 38.20%.
VTT Research Informa... arrow_drop_down https://doi.org/10.1109/tccn.2...Article . 2024 . Peer-reviewedLicense: IEEE CopyrightData sources: Crossrefadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1109/tccn.2023.3315455&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eu0 citations 0 popularity Average influence Average impulse Average Powered by BIP!more_vert VTT Research Informa... arrow_drop_down https://doi.org/10.1109/tccn.2...Article . 2024 . Peer-reviewedLicense: IEEE CopyrightData sources: Crossrefadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1109/tccn.2023.3315455&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article 2024Publisher:Canadian Science Publishing Yuanxi Liu; Junwen Wu; Danzi Wu; Jiandong Xiao; Jianli Sun; Zhijuan Zhao;Seasonal changes in carbon (C), nitrogen (N), and phosphorus (P) stoichiometry and water-use efficiency (WUE) in the needles of Pinus armandii were investigated. The needles of P. armandii were sampled in January, May, August, and November 2021. The results showed that (1) the needle δ13C values of young P. armandii forests were higher than those of middle-aged P. armandii forests, and these differences were significant in winter. (2) Both young and middle-aged P. armandii forests were restricted by N and P, and P. armandii was more restricted by N in summer, autumn, and winter. (3) Needle δ13C values were significantly positively correlated with P and negatively correlated with N, C/P, and N/P in young P. armandii forests; P. armandii (especially young stands) can compensate for decreases in N-use efficiency by increasing WUE. The C, N, and P content and their stoichiometric ratios were affected by a combination of season, stand age, and WUE. This study contributes to an in-depth understanding of the adaptive mechanisms of nutrients and WUE in P. armandii in the subtropical region. Our findings also have implications for the management of P. armandii plantations in the study area.
Canadian Journal of ... arrow_drop_down Canadian Journal of Forest ResearchArticle . 2024 . Peer-reviewedLicense: CSP TDMData sources: Crossrefadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1139/cjfr-2023-0078&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eu0 citations 0 popularity Average influence Average impulse Average Powered by BIP!more_vert Canadian Journal of ... arrow_drop_down Canadian Journal of Forest ResearchArticle . 2024 . Peer-reviewedLicense: CSP TDMData sources: Crossrefadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1139/cjfr-2023-0078&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article 2024 FinlandPublisher:Institute of Electrical and Electronics Engineers (IEEE) Bin Rao; Jie Hu; Azzam Al-Nahari; Kun Yang; Riku Jäntti;In this letter, we investigate the issue of physical layer security in unmanned aerial vehicle (UAV)-assisted backscatter communication. The scenario involves a single UAV, a single passive backscatter device (BD), in the presence of a single eavesdropper (ED) attempting to intercept the backscattered information from the BD. To counteract the ED’s efforts, we propose an artificial noise (AN) injection scheme to degrade the ED link. We aim to maximize the secrecy rate of the BD by optimizing three key factors: the UAV’s hovering position, the power allocation factor, and the reflection coefficient of the BD. For this system setting, we derive the secrecy rate and formulate an optimization problem to optimize these variables. Due to the non-convex nature of the problem, we design an iterative algorithm based on the alternating optimization (AO) algorithm for maximizing the secrecy rate. Additionally, we provide insights into the impact of various system parameters on the overall performance. Notably, we demonstrate that the power allocation factor and the hovering altitude of the UAV play important roles for achieving secure communication. Publisher Copyright: IEEE Peer reviewed
Aaltodoc Publication... arrow_drop_down Aaltodoc Publication ArchiveArticle . 2023 . Peer-reviewedData sources: Aaltodoc Publication ArchiveIEEE Wireless Communications LettersArticle . 2024 . Peer-reviewedLicense: IEEE CopyrightData sources: Crossrefadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1109/lwc.2023.3324914&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eu0 citations 0 popularity Average influence Average impulse Average Powered by BIP!more_vert Aaltodoc Publication... arrow_drop_down Aaltodoc Publication ArchiveArticle . 2023 . Peer-reviewedData sources: Aaltodoc Publication ArchiveIEEE Wireless Communications LettersArticle . 2024 . Peer-reviewedLicense: IEEE CopyrightData sources: Crossrefadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1109/lwc.2023.3324914&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article 2024 TurkeyPublisher:Institute of Electrical and Electronics Engineers (IEEE) Haozhi Wang; Qing Wang; Luyong Chen; Guanyang Fu; Xiaofeng Liu; Zhicheng Dong; Erdal Panayirci;Intelligent electromagnetic signature recognition is one of the key technologies in Internet-of-Things (IoT) device connection, which can improve system security and speed up the authentication process. In practical scenarios, as the number of IoT devices increases, electromagnetic features such as fingerprint and modulation signals also increase substantially. However, since intelligent recognition technology, such as Automatic Modulation Classification (AMC), requires a large amount of labeled data to train the neural network classifier, it is challenging to collect so much labeled data. To address the performance degradation challenges with small training data, we propose an efficient semi-supervised electromagnetic recognition framework to break the performance gap with the fully supervised learning scheme. This framework can fully use the unlabeled electromagnetic data collected during the authentication process for self-training to improve the classifier’s performance. According to the idea of consistency regularization, we design a signal augmentation method and propose an ensemble pseudo-label design algorithm to improve confidence. Moreover, we perform a convex combination of electromagnetic features to smooth the model decision boundary while generalizing to unknown data distribution regions. Experimental results on the modulated data demonstrate the performance superiority of the proposed algorithm, i.e., use less than 5% of data with no more than 10% performance drop. IEEE
https://doi.org/10.1... arrow_drop_down https://doi.org/10.1109/jiot.2...Article . 2024 . Peer-reviewedLicense: IEEE CopyrightData sources: CrossrefKadir Has University Academic RepositoryArticle . 2023Data sources: Kadir Has University Academic Repositoryadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1109/jiot.2023.3295397&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eu0 citations 0 popularity Average influence Average impulse Average Powered by BIP!more_vert https://doi.org/10.1... arrow_drop_down https://doi.org/10.1109/jiot.2...Article . 2024 . Peer-reviewedLicense: IEEE CopyrightData sources: CrossrefKadir Has University Academic RepositoryArticle . 2023Data sources: Kadir Has University Academic Repositoryadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1109/jiot.2023.3295397&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article 2024Publisher:FapUNIFESP (SciELO) Authors: Ting Jin; Lei Li;Ting Jin; Lei Li;ABSTRACT: Pork price fluctuations are closely related to the national economy and people’s livelihoods in China. Based on the monthly pork price fluctuations in China from January 2011 to August 2022, this study uses ARCH family models to assess the characteristics and laws of these fluctuations in China. The pork price fluctuations show obvious clustering, with external shock information from the previous month affecting the pork price in the following period; the pork market price is characterized by risk compensation, with the high risk of pork supply driving the pork price up. In addition, the pork price fluctuations are characterized by asymmetry, with a greater impact of good than of bad news on the pork price. Due to the pork industry’ low entry threshold and the existence of sunk costs, positive information on the pork market has a stronger impact on price fluctuations than negative information. To guide pork supply, we recommend improving monitoring and early-warning mechanisms in the pork market to identify the pork price volatility threshold and measure the price volatility. In addition, price index insurance products should be constantly strengthened, with different types of insurance products being offered to meeting the insurance demand of various sectors in the pig meat supply chain.
add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1590/0103-8478cr20220197&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess Routesgold 1 citations 1 popularity Average influence Average impulse Average Powered by BIP!more_vert add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1590/0103-8478cr20220197&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article 2024Publisher:FapUNIFESP (SciELO) Chen FeiZhang; Xiao HongXie; Yong Hong Jia; Qing HaoWang; Qing Chun Yue; Wen Jing Wang; Si JiaLv; Fan He; Yue Yan Wu; Zhi Hui Chen;ABSTRACT: Rhododendron fortune belongs to a scented Rhododendron species native to China, which produces fragrant flowers of great ornamental and environmental values for landscaping or indoor beautification. However, the scents in Rhododendron fortuneihave not yet been investigated, let alone the mechanism of the formation of these fragrance in the flowers. In this study, we measured the scents in terms of its volatile components and contents (VOC) in Rhododendron fortuneiat four different flowering stages and in different tissues of the plant by headspace solid-phase micro-extraction combined (HS-SPME) with gas chromatography-mass spectrometry (GC-MS). Then the characteristic aromatic values, which reflects the degree of scent perception by human, of each VOC in the plant was calculated according to its respective aromatic thresholds. Results showed that three main VOCs measured from highest to lowest are methyl benzoates, terpenes and fatty acid derivatives. Their content increased after the flower bud opening and reached the highest at half to full blossom. In a flower most VOC contents were measured in petals and only trace amount in other tissues such as stamen, pistil. A small amount of VOCs was determined in leaves as well.All aromatic values were almost corresponded to the contents of three main VOCs, indicating that the flower fragrance arises truly from these VOC components. S-adenosyl-L-methionine: benzoic acid carboxyl methyl transferase (BAMT) catalyzes the final step to form methyl benzoates. To understand the mechanism of the formation of this main type fragrance and its regulation, we firstly isolate a gene of RfBAMT from petal of Rhododendron fortuneiby using homologous cloning and RACE technology. The full length of its cDNA was 1383 bp,with an open reading frame of 1104 bp, encoding a total of 368 amino acids. The phylogenetic tree analysis showed that RfBAMT was the closest to the BSMT of Camellia japonica, belonging to methyltransferases family. Then we measured the expression level of RfBAMT again at four flower developmental stages and in different flower tissues and leaves. The results showed that the expression level of this gene was highly positively correlated with the emitted content of methyl benzoates in the flowering, implying that RfBAMT plays a pivotal role in the formation and regulation of methyl benzoates in Rhododendron fortune.Thisresearchshowed that the RfBAMT was cloned and identified in our study and its expression level was highly positively correlated with the emitted content of methyl benzoates in the flowers and leaves, which indicated this gene may play an important role on regulation of methyl benzoate synthesis in Rhododendron fortunei. RESUMO: Rhododendron fortunei pertence a uma espécie de rododendro perfumada nativa da China, que produz flores perfumadas de grande valor ornamental e ambiental para paisagismo ou embelezamento de interiores. No entanto, os aromas em Rhododendron fortunei ainda não foram investigados, muito menos o mecanismo de formação dessas fragrâncias nas flores. Neste estudo, medimos os aromas em termos de seus componentes e conteúdos voláteis (VOC) em Rhododendron fortunei em quatro diferentes estágios de floração e em diferentes tecidos da planta por microextração em fase sólida headspace combinada com cromatografia gasosa-espectrometria de massa. Em seguida, foram calculados os valores aromáticos característicos, que refletem o grau de percepção olfativa pelo ser humano, de cada VOC na planta de acordo com seus respectivos limiares aromáticos. Os resultados mostraram que três COVs principais medidos do mais alto ao mais baixo são benzoatos de metila, terpenos e derivados de ácidos graxos. Seu conteúdo aumentou após a abertura do botão floral e atingiu o máximo na metade da floração total. Em uma flor, a maioria dos teores de COV foram medidos em pétalas e apenas traços em outros tecidos, como estame, pistilo. Uma pequena quantidade de COVs foi determinada nas folhas também. Todos os valores aromáticos foram quase correspondentes aos teores de três COVs principais, indicando que a fragrância da flor surge verdadeiramente desses componentes de COV. Para entender o mecanismo de formação deste tipo principal de fragrância e sua regulação, primeiramente isolamos um gene de RfBAMT da pétala de Rhododendron fortunei usando clonagem homóloga e tecnologia RACE. O comprimento total de seu cDNA era de 1383 bp, com um quadro de leitura aberto de 1104 bp, codificando um total de 368 aminoácidos. A análise da árvore filogenética mostrou que RfBAMT foi o mais próximo do BSMT de Camellia japonica, pertencente à família das metiltransferases. Em seguida, medimos o nível de expressão de RfBAMT novamente em quatro estágios de desenvolvimento da flor e em diferentes tecidos e folhas de flores. Os resultados mostraram que o nível de expressão deste gene foi altamente correlacionado positivamente com o conteúdo emitido de benzoatos de metila na floração, implicando que RfBAMT desempenha um papel fundamental na formação e regulação de benzoatos de metila em Rhododendron fortune foi clonado e identificado em nosso estudo e seu nível de expressão foi altamente correlacionado positivamente com o conteúdo emitido de benzoatos de metila nas flores e folhas, o que indicou que este gene pode desempenhar um papel importante na regulação da síntese de benzoato de metila em Rhododendron fortunei.
Ciência Rural arrow_drop_down Scientific Electronic Library Online - BrazilArticle . 2023License: CC BYData sources: Scientific Electronic Library Online - Braziladd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.euAccess Routesgold 0 citations 0 popularity Average influence Average impulse Average Powered by BIP!more_vert Ciência Rural arrow_drop_down Scientific Electronic Library Online - BrazilArticle . 2023License: CC BYData sources: Scientific Electronic Library Online - Braziladd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article 2024Publisher:Institute of Electrical and Electronics Engineers (IEEE) Lan Zhang; Yang Wang; Linzi Yang; Jianfeng Chen; Zijie Liu; Lifeng Bian; Chen Yang;Hyperspectral image (HSI) classification has become a popular research topic in recent years, and transformer-based networks have demonstrated superior performance by analyzing global semantic features. However, using transformers for pixel-level HSI classification has two limitations: ineffective capture of spatial-spectral correlations and inadequate exploitation of local features. To address these challenges, we propose a dual-dimension self-attention (D2SA) mechanism that fully exploits HIS's high spectral-spatial correlation by using two separate branches to model the global dependence of features from the spectral and spatial dimensions. Additionally, we develop a multilayer residual convolution module that extracts local features and introduces shallow-deep feature interactions to obtain more discriminative representations. Based on these components, we propose a dual-dimension spectral-spatial bottleneck transformer (D2S2BoT) framework for HSI classification that simultaneously models the local interactions and global dependencies of HSI pixels to achieve high-precision classification. By virtue of the D2SA mechanism, the introduced D2S2BOT framework can produce competitive classification results with a limited number of training samples on three well-known datasets, which we hope will provide a strong baseline for future research on transformers in the field of HSI.
IEEE Journal of Sele... arrow_drop_down IEEE Journal of Selected Topics in Applied Earth Observations and Remote SensingArticle . 2024Data sources: DOAJIEEE Journal of Selected Topics in Applied Earth Observations and Remote SensingArticle . 2024 . Peer-reviewedLicense: CC BY NC NDData sources: Crossrefadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.euAccess Routesgold 0 citations 0 popularity Average influence Average impulse Average Powered by BIP!more_vert IEEE Journal of Sele... arrow_drop_down IEEE Journal of Selected Topics in Applied Earth Observations and Remote SensingArticle . 2024Data sources: DOAJIEEE Journal of Selected Topics in Applied Earth Observations and Remote SensingArticle . 2024 . Peer-reviewedLicense: CC BY NC NDData sources: Crossrefadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article 2024Publisher:Institute of Electrical and Electronics Engineers (IEEE) Qian Cheng; Xin Li; Taoyang Wang; Boyang Jiang; He Fu; Yunming Wang; Feida Zhang;Remote sensing sensor platforms are typically located at a significant distance from the ground, ranging from several hundred meters to hundreds of kilometers. This means that, compared to natural images, remote sensing images (RSI) have larger coverage areas and more complex information. The larger size and data volume of RSI presents challenges for computer vision matching algorithms (MAs), making it difficult to apply them directly to RSI matching. Moreover, a matching framework for multisource RSIs capable of large-scale processing by integrating multiple MAs with the entire RSI as input is presently lacking. This study proposes a tie points (TPs) matching framework of multisource remote sensing images based on the geometric and radiation characteristics of RSI. First, RSI is divided into different grids and undergoes local geometry correction. Next, matching between slice images is performed by MAs. Finally, TPs are generated by mapping matched points in multiple slice images to the whole RSI using a geometric processing model. Six representative MAs including artificial feature MAs and deep learning algorithms are integrated into the framework to match TPs from different RSI. Results demonstrate the extraction of TPs for multisource RSI, validating the framework's efficacy. In addition, a large-scale TPs matching test for deep learning MA is performed by using 13 synthetic aperture radar images (10-m resolution) with TPs root mean square error of 0.368 pixels, further confirming the framework's reliability.
IEEE Journal of Sele... arrow_drop_down IEEE Journal of Selected Topics in Applied Earth Observations and Remote SensingArticle . 2024Data sources: DOAJIEEE Journal of Selected Topics in Applied Earth Observations and Remote SensingArticle . 2024 . Peer-reviewedLicense: CC BY NC NDData sources: Crossrefadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.euAccess Routesgold 0 citations 0 popularity Average influence Average impulse Average Powered by BIP!more_vert IEEE Journal of Sele... arrow_drop_down IEEE Journal of Selected Topics in Applied Earth Observations and Remote SensingArticle . 2024Data sources: DOAJIEEE Journal of Selected Topics in Applied Earth Observations and Remote SensingArticle . 2024 . Peer-reviewedLicense: CC BY NC NDData sources: Crossrefadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article 2024Publisher:Institute of Electrical and Electronics Engineers (IEEE) Authors: Wensheng Fan; Fan Liu; Jingzhi Li;Wensheng Fan; Fan Liu; Jingzhi Li;Pansharpening is a fundamental and crucial image processing task for many remote sensing applications, which generates a high-resolution multispectral image by fusing a low-resolution multispectral image and a high-resolution panchromatic image. Recently, vision transformers have been introduced into the pansharpening task for utilizing global contextual information. However, long-range and local dependencies modeling and multiscale feature learning are all essential to the pansharpening task. Learning and exploiting these various information raises a big challenge and limits the performance and efficiency of existing pansharpening methods. To solve this issue, we propose a pansharpening network based on multiscale embedding and dual attention transformers (MDPNet). Specifically, a multiscale embedding block is proposed to embed multiscale information of the images into vectors. Thus, transformers only need to process a multispectral embedding sequence and a panchromatic embedding sequence to efficiently use multiscale information. Furthermore, an additive hybrid attention transformer is proposed to fuse the embedding sequences in an additive injection manner. Finally, a channel self-attention transformer is proposed to utilize channel correlations for high-quality detail generation. Experiments over QuickBird and WorldView-3 datasets demonstrate the proposed MDPNet outperforms state-of-the-art methods visually and quantitatively with low running time. Ablation studies further verify the effectiveness of the proposed multiscale embedding and transformers in pansharpening.
IEEE Journal of Sele... arrow_drop_down IEEE Journal of Selected Topics in Applied Earth Observations and Remote SensingArticle . 2024Data sources: DOAJIEEE Journal of Selected Topics in Applied Earth Observations and Remote SensingArticle . 2024 . Peer-reviewedLicense: CC BYData sources: Crossrefadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.euAccess Routesgold 0 citations 0 popularity Average influence Average impulse Average Powered by BIP!more_vert IEEE Journal of Sele... arrow_drop_down IEEE Journal of Selected Topics in Applied Earth Observations and Remote SensingArticle . 2024Data sources: DOAJIEEE Journal of Selected Topics in Applied Earth Observations and Remote SensingArticle . 2024 . Peer-reviewedLicense: CC BYData sources: Crossrefadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
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