Research on the multiuser MIMO linear cooperative spectrum sensing in cognitive radio networks by Yong-qiang HEI, Xiao-hui LI, Wen-tao LI

“…The multiuser MIMO based linear cooperative spectrum sensing problem was investigated in cognitive radio system to improve the reliability of spectrum sensing.Both the local spectrum detecting strategy and global spectrum detecting strategy for multiuser MIMO based linear cooperative spectrum sensing system were derived.Then the optimization model that the different weights assigned on the receive signals of each user at the fusion center for global decision were optimized to maximize the detection probability given a targeted probability of false alarm is established.Furthermore,genetic algorithm (GA) was introduced to find the optimal weight vector of the above-mentioned cooperative spectrum sensing problem,with the purpose of reducing the sensing time in the spectrum sensing process.The simulation results show that,the reliability of spectrum sensing in cooperative spectrum sensing system can be efficiently enhanced with multiple antennas.Besides,the proposed GA method is efficient and stable,and achieves better detection performance when compared with the existing methods.…”
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End-to-end scene text detection and recognition algorithm based on Transformer decoders by Jinzhi ZHENG, Ruyi JI, Libo ZHANG, Chen ZHAO

“…Aiming at the detection and recognition task of arbitrary shape text in scene, a novelty scene text detection and recognition algorithm which could be trained by end-to-end algorithm was proposed.Firstly, the detection branch of text aware module based on segmentation idea was introduced to detect scene text from visual features extracted by convolutional network.Then, a recognition branch based on Transformer vision module and Transformer language module encoded the text features of the detection results.Finally, the text features encoded by the fusion gate in the recognition branch were fused to output the scene text.The experimental results on the three benchmark datasets of Total-Text, ICDAR2013 and ICDAR2015 show that the proposed algorithm has excellent performance in recall, precision, F-score, and has certain advantages in efficiency.…”
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Gated Channel Attention Mechanism YOLOv3 Network for Small Target Detection by Xi Yang, Jin Shi, Juan Zhang

“…Secondly, an adaptive up-sampling module is introduced to expand the low-resolution convolutional feature images, which effectively enhances the fusion efficiency of the convolutional feature images at different scales. …”
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Double reputation and multi-angle weight-based cooperative spectrum sensing method against SSDF attacks by Zhiguo SUN, Zhao WANG, Zengmao CHEN, Rongchen SUN

“…In order to improve the ability of cooperative spectrum sensing to withstand spectrum sensing data falsification (SSDF) attacks, a double reputation and multi-angle weight-based cooperative spectrum sensing (DRMW-CSS) method was proposed.Firstly, a scoring reputation was obtained by multiple iterations of historical local decision results, and an accuracy reputation was calculated on this basis.Secondly, secondary users (SU) were screened by double reputation and multiple reputation thresholds.Then, the impact of SSDF attacks on the screening method was judged and divided into three situations.Finally, the final global decision was made using the corresponding multi-angle weight data fusion decision method according to different situations.Simulation results show that the proposed method has good sensing accuracy when facing SSDF attacks with different attack strategies and probabilities, and has better anti-attack capability compared to traditional methods.…”
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Application of Big Data Analysis in Cost Control of Marine Fishery Breeding by Yunsong Gu

“…We establish the cost analysis model of marine fishery, use the big data correlation analysis method to conduct distributed mining on the cost characteristics of marine fishery, deeply grasp the relevance of data characteristics, use the information fusion method to build the constraint parameter analysis model of aquaculture cost operation, limit the amount of calculation, and use the adaptive neural network weighted training method to adaptively optimize the cost control to avoid falling into local optimization. …”
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Formación del patrimonio gastronómico del Valle de Toluca, México by Alejandro Tonatiuh Romero Contreras, Felipe Carlos Viesca González, Marivel Hernández Téllez

“…Se identificaron las especies animales y vegetales, así como las prácticas agrícolas-culinarias que trajeron consigo los españoles y su fusión con sus similares locales, lo que produjo el mestizaje gastronómico en el Valle de Toluca expresado en sus platillos patrimoniales: barbacoas, embutidos, moles, tamales, dulces y bebidas tradicionales.…”
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Comparative Study on Traffic Prediction Using Different Models by Jiao Zhtiofan

“…This paper proposes an improved method for fusion prediction by combining multiple data sources. …”
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Development and Prospect of Satellite 5G Technology by Lijun ZHAI, Shuming PAN, Chunting WANG

“…With the development of new broadband satellite communication constellation, the fusion of satellite communication and 5G has become a hot spot in the communication industry.The current status of the development of satellite 5G was summarized, and the work achievements of 3GPP, ITU, SaT5G and other international standard development organizations were introduced.On the basis, the overall architecture of satellite 5G network was proposed, the research and development were introduced such as networking under the condition of satellite dynamic topology, multi band satellite ground integration waveform design, multiple access to satellite IoT terminal, radio resource management and interference coordination.In addition, the feasibility of new technologies such as OTFS, nonorthogonal multiple access and interference coordination of NGSO and GSO based on spectrum sensing were explored.Finally, the development of the 6G phase of integrated satellite and terrestrial networks was presented.…”
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Weighted Evidence Combination Based on Distance of Evidence and Entropy Function by Jianwei Wang, Fuyuan Xiao, Xinyang Deng, Liguo Fei, Yong Deng

“…Conflict management in Dempster-Shafer theory (D-S theory) is a hot topic in information fusion. In this paper, a new weighted evidence combination on the basis of the distance between evidence and entropy function is presented. …”
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Wines without Latitude: Global and local forces and the geography of the Thai wine industry by Glenn Banks, Ratchaphong Klinsrisuk, Sittipong Dilokwanich, Polly Stupples

“…Our argument is that despite its small size, the Thai wine industry neatly encapsulates many of the complexities around globalisation, demonstrating the fusion of global cultural trends, nationalistic economic growth, the increasingly global character of wine industry participants, and the continuing constraints on all these global processes of domestic political and regulatory regimes.…”
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ENHANCING TRAFFIC SAFETY: A COMPREHENSIVE APPROACH THROUGH REAL-TIME DATA AND INTELLIGENT TRANSPORTATION SYSTEMS by Khanh Giang LE

“…Thus, this study applies data fusion and data mining techniques to analyze travel time and valuable information about traffic accidents based on the real-time data collected from On-Board Unit installed in vehicles. …”
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Systematic analysis of Fc mutations designed to reduce binding to Fc-gamma receptors by Geoff Hale, Jelle De Vos, Alastair Douglas Davy, Koen Sandra, Ian Wilkinson

“…Elimination of the binding of immunoglobulin Fc to Fc gamma receptors is highly desirable for the avoidance of unwanted inflammatory responses to therapeutic antibodies and fusion proteins. Many different approaches have been used in the clinic, but they have not been systematically compared. …”
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Deep Neural Network Model Forecasting for Financial and Economic Market by Fan Chen

“…In view of the Internet financial market dynamic (volume and daily trading), it is proposed based on a deep neural network for fusion level time series prediction model. First, the proposed model processes the input of characteristic variables of multiple series (market macrodynamic series and multiseed series) and uses an attention mechanism to fuse the input variables in two dimensions of time and sequence feature. …”
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Routing approach based on local topology control in cognitive radio networks by Shu-qi LIU, Yi-ming WANG, Cui-mei CUI

“…An approach of topology control and routing was proposed according to the characteristics of cogni ive radio networks,which considered multi factors optimization with fusion of primary users and secondary users.And the ap-proach took the spectrum utilization of primary users the interference from secondary users to primary users into ac-count.Then a joint link cost was defined combining the predicted cognitive link stability with the link power consump-tion.Furthermore,the local cognitive topology control routing(LCTCR)algorithm with minimizing the link cost was presented,which was used to optimize the network topology.Meanwhile,the network path was selected according to the optimized network topology.Theoretical analysis and simulation experiments show that the link power consumption and the link stability are also important parameters and need to be jointly optimized when selecting the network path.Only by doing so can it guarantee that the selected path is optimal.…”
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The role of artificial intelligence and image processing in the diagnosis, treatment, and prognosis of liver cancer: a narrative-review by Platon Dimopoulos, Admir Mulita, Andreas Antzoulas, Sylvain Bodard, Vasileios Leivaditis, Ioanna Akrida, Nikolaos Benetatos, Konstantinos Katsanos, Christos-Nikolaos Anagnostopoulos, Francesk Mulita

“…Image processing techniques enhance data analysis by precise segmentation of liver structures, fusion of information from multiple modalities, and feature extraction for informed decision-making. …”
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Étude comparée de l’usage parenthétique des verbes épistémiques dans trois langues romanes by Gerda Haßler

“…In a process of grammaticalization, new units appear whose meaning can no longer be deduced from the initial elements and which may have undergone a process of reduction or fusion. This is not the case for epistemic verbs. …”
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Management of Congenital Midline Nasofrontal Masses: Case Report and Review of Literature by A. C. Volck, G. A. Suárez, A. J. Tasman

“…Since they arise from an abnormal fusion during fetal development, intracranial extension of the lesion has to be ruled out radiologically before therapy. …”
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Remarkable Differences in Calcification between the Primary Tumor and Metastatic Lymph Nodes in a Patient with ALK-Positive Non-Small-Cell Lung Cancer by Keeya Sunata, Tetsuo Tani, Takahiko Ui, Hidehiro Irie, Yohei Funatsu, Hidefumi Koh

“…Immunohistochemical staining and fluorescent in situ hybridization detected an anaplastic lymphoma kinase (ALK) fusion. Treatment with alectinib, an ALK inhibitor, led to a significant reduction in tumor size and calcification in the lymph nodes. …”
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Robust multi-dimensional trust model for improving the survivability of ad hoc networks by CHEN Shen-long1, ZHANG Yu-qing1

“…Attackers could perform the blended attack against ad hoc networks through utilizing several attack methods together.Under this circumstance,a robust multi-dimensional trust model（RMTM） to improve the survivability of ad hoc networks was proposed.RMTM was based on D-S theory.Nodes’ attack evidences were classified into several dimen-sions and the trust of each dimension was computed according to basic probability assignment function.Then RMTM implemented the comprehensive evaluation through the multi-dimensional trust fusion.In order to resist the attacks against trust models themselves,the corresponding tolerant algorithms were designed to enhance the RMTM’s robustness.The simulations show that RMTM can effectively defense against both ad hoc network blended attack and trust model attacks with limited overload and consequently it significantly improves the survivability of ad hoc networks.…”
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AAT model based channel estimation for mmWave massive MIMO systems by Shujuan YU, Rong LIU, Yun ZHANG, Na XIE, Liya HUANG

“…To solve the problems of temporal correlation and susceptibility to noise in millimeter wave massive MIMO channels, which result in decreased channel estimation accuracy, a novel channel estimation method based on an improved temporal convolutional network was proposed.The channel matrices obtained from simulation were feed into the system as two-dimensional image data.The temporal correlation was utilized for feature fusion and an attention in attention network was constructed to enhance the system’s ability to extract deep channel features.Then, AAN was integrated into the temporal convolutional network for training.Finally, the system outputted a denoised two-dimensional image, namely, the channel estimation matrix.Simulation results demonstrate that the proposed method not only exhibits good performance and complexity compared to conventional channel estimation methods but also maintains robustness when the test scenario changes.…”
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