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arXiv 2024年

作者： Truica, Ciprian-Octavian Apostol, Elena-Simona Marogel, Marius Paschke, Adrian Computer Science and Engineering Department Faculty of Automatic Control and Computers National University of Science and Technology Politehnica Bucharest Splaiul Independentei 313 Bucharest060042 Romania Academy of Romanian Scientists Ilfov 3 Bucharest050044 Romania Department of Mathematics and Computer Science Freie Universität Berlin Arnimallee 14 Berlin14195 Germany Fraunhofer Institute for Open Communication Systems Kaiserin-Augusta-Allee 31 Berlin10589 Germany

In today’s digital age, fake news has become a major problem that has serious consequences, ranging from social unrest to political upheaval. To address this issue, new methods for detecting and mitigating fake news are required. In this work, we propose to incorporate contextual and network-aware features into the detection process. This involves analyzing not only the content of a news article but also the context in which it was shared and the network of users who shared it, i.e., the information diffusion. Thus, we propose GETAE, Graph Information Enhanced Deep Neural Network Ensemble ArchitecturE for Fake News Detection, a novel ensemble architecture that uses textual content together with the social interactions to improve fake news detection. GETAE contains two Branches: the Text Branch and the Propagation Branch. The Text Branch uses Word and Transformer Embeddings and a Deep Neural Network based on feed-forward and bidirectional Recurrent Neural Networks ([Bi]RNN) for learning novel contextual features and creating a novel Text Content Embedding. The Propagation Branch considers the information propagation within the graph network and proposes a Deep Learning architecture that employs Node Embeddings to create novel Propagation Embedding. GETAE Ensemble combines the two novel embeddings, i.e., Text Content Embedding and Propagation Embedding, to create a novel Propagation-Enhanced Content Embedding which is afterward used for classification. The experimental results obtained on two real-world publicly available datasets, i.e., Twitter15 and Twitter16, prove that using this approach improves fake news detection and outperforms state-of-the-art models. © 2024, CC BY-NC-ND.

关键词： Graph embeddings

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A study of the limits of imaging capability due to water scattering effects in underwater ghost imaging

arXiv

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arXiv 2023年

作者： Yuliang, L.I. Chen, Mingliang Jinquan, Q.I. Deng, Chenjin Longkun, D.U. Zunwang, B.O. Chang, H.A.N. Zhihua, M.A.O. Yan, H.E. Shao, Xuehui Han, Shensheng Key Laboratory of Quantum Optics Shanghai Institute of Optics and Fine Mechanics Chinese Academy of Sciences Shanghai201800 China Center of Materials Science and Optoelectronics Engineering University of Chinese Academy of Sciences Beijing100049 China Institute for Quantum Science and Technology College of Science National University of Defense Technology Changsha410073 China State Key Laboratory of Satellite Ocean Environment Dynamics Second Institute of Oceanography State Oceanic Administration Hangzhou310012 China Key Laboratory of Space Laser Communication and Detection Technology Shanghai Institute of Optics and Fine Mechanics Chinese Academy of Sciences Shanghai201800 China National Laboratory of Aerospace Intelligent Control Technology Beijing100089 China Hangzhou Institute for Advanced Study University of Chinese Academy of Sciences Hangzhou310024 China

Underwater ghost imaging is an effective means of underwater detection. In this paper, a theoretical and experimental study of underwater ghost imaging is carried out by combining the description of underwater optical field transmission with the inherent optical parameters of the water body. This paper utilizes the Wells model and the approximate S-S scattering phase function to create a model for optical transmission underwater. The second-order Glauber function of the optical field is then employed to analyze the scattering field's degradation during the transmission process. This analysis is used to evaluate the impact of the water body on ghost imaging. The simulation and experimental results verify that the proposed underwater ghost imaging model can better describe the degradation effect of water bodies on ghost imaging. A series of experiments comparing underwater ghost imaging at different detection distances are also carried out in this paper. In the experiments, cooperative targets can be imaged up to 65.2m (9.3AL, at attenuation coefficient c=0.1426m-1 and the scattering coefficient b=0.052m-1) and non-cooperative targets up to 41.2m (6.4AL, at c=0.1569m-1 and b=0.081m-1) . By equating the experimental maximum imaged attenuation length for cooperative targets to Jerlov-I water (b=0.002m-1 and a=0.046m-1), the system will have a maximum imaging distance of 193m. Underwater ghost imaging is expected to achieve longer-range imaging by optimizing the system emission energy and detection sensitivity. © 2023, CC BY-NC-SA.

关键词： Light transmission

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A two-stage solution to quantum process tomography: error analysis and optimal design

arXiv

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arXiv 2024年

作者： Xiao, Shuixin Wang, Yuanlong Zhang, Jun Dong, Daoyi Mooney, Gary J. Petersen, Ian R. Yonezawa, Hidehiro School of Engineering and Technology University of New South Wales CanberraACT2600 Australia University of Michigan–Shanghai Jiao Tong University Joint Institute Shanghai Jiao Tong University Shanghai200240 China School of Engineering The Australian National University CanberraACT2601 Australia Key Laboratory of Systems and Control Academy of Mathematics and Systems Science Chinese Academy of Sciences Beijing100190 China CIICADA Lab School of Engineering Australian National University ACT2601 Australia School of Physics The University of Melbourne ParkvilleVIC3010 Australia School of Physics University of Melbourne ParkvilleVIC3010 Australia School of Engineering Australian National University ACT2601 Australia RIKEN Center for Quantum Computing Japan Centre for Quantum Computation and Communication Technology Australian Research Council CanberraACT2600 Australia

Quantum process tomography is a critical task for characterizing the dynamics of quantum systems and achieving precise quantum control. In this paper, we propose a two-stage solution for both trace-preserving and non-trace-preserving quantum process tomography. Utilizing a tensor structure, our algorithm exhibits a computational complexity of O(MLd2) where d is the dimension of the quantum system and M, L represent the numbers of different input states and measurement operators, respectively. We establish an analytical error upper bound and then design the optimal input states and the optimal measurement operators, which are both based on minimizing the error upper bound and maximizing the robustness characterized by the condition number. Numerical examples and testing on IBM quantum devices are presented to demonstrate the performance and efficiency of our algorithm. Copyright © 2024, The Authors. All rights reserved.

关键词： Error analysis

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Two-stage solution of quantum process tomography in the natural basis

Two-stage solution of quantum process tomography in the natu...

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IEEE Conference on Decision and control

作者： Shuixin Xiao Yuanlong Wang Daoyi Dong Jun Zhang School of Engineering and Information Technology University of New South Wales Canberra ACT Australia UMich-SJTU Joint Institute Shanghai Jiao Tong University Shanghai China Key Laboratory of Systems and Control Academy of Mathematics and Systems Science Chinese Academy of Sciences Beijing China Centre for Quantum Computation and Communication Technology (Australian Research Council) Centre for Quantum Dynamics Griffith University Brisbane Queensland Australia

ISBN: (数字)9781665467612

ISBN: (纸本)9781665467629

Quantum process tomography (QPT) is a critical task for characterizing the dynamics of quantum systems and achieving precise quantum control. In this paper, we propose an effective two-stage solution (TSS) for QPT in the natural basis. Our algorithm has O(d 6 ) computational complexity where d is the dimension of the quantum system. We establish an error bound $O\left( {\frac{{{d^5}}}{{\sqrt N }}} \right)$ where N is the copy number for each output state. The numerical examples compared with a convex optimization algorithm demonstrate the effectiveness of our algorithm.

关键词： Quantum system Error analysis Heuristic algorithms Process control Tomography Quantum state Convex functions

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Train Trajectory Optimization based on Quadratic Programming for Virtual Coupling Concepts *

Train Trajectory Optimization based on Quadratic Programming...

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International Conference on Intelligent Transportation

作者： Jiahao Lu Debiao Lu Baigen Cai Bin Chen Jürgen Pannek Susu Huang Frontiers Science Center for Smart High-speed Railway System Beijing Engineering Research Center of EMC and GNSS Technology for Rail Transport School of Electronic and Information Engineering Beijing Jiaotong Universit Beijing China Frontiers Science Center for Smart High-speed Railway System Beijing Engineering Research Center of EMC and GNSS Technology for Rail Transport School of Computer and Information Technology Beijing Jiaotong Universit Beijing China Traffic Control Technology Co. Ltd Beijing China Institute for Intermodal Transportation and Logistic System Technical University of Braunschweig Braunschweig Germany China Academy of Railway Science Corporation Limited Signal & Communication Research Institute Beijing China

The concept of virtual coupling train convoys shows promise for improving railway capacity. This approach typically involves a “leader-follower” control strategy for multiple objects, such as vehicles and drones. In order to allow followers to enter the convoy, the operation status and trajectory of the leader vehicle must be optimized. This paper examines field data collected on Guangzhou Metro Line 22, and the velocity-distance curve shows consistency among the test runs, enabling coupling possibilities. Considering constraints such as safety constraints, train dynamic model constraints, and velocity limitation constraints, when the train operating trajectory expressed by polynomial curves is incorporated into the objective function, the resulting optimization strategy can be solved using quadratic programming methods. With the optimized trajectory by the proposed method, the average acceleration decreased by 0.009 m/s 2 to 0.024 m/s 2 , and the standard deviation decreased by 0.024 m/s 2 to 0.181 m/s 2 , Using the field collected data, the paper simulates train operations under virtual coupling, leader train using the optimized train trajectory, follower train employing the pure pursuit. The correlation coefficient of the velocity time series between the leader train and the follower train is 0.9996. The headway can also be shortened to 193.15 m average and a standard deviation of 6.44 m.

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Miniaturized UWB Antenna Design for 5G and Space-Based Microwave Applications

Results in Engineering

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Results in engineering 2025年

作者： Swati Varun Yadav Manish Varun Yadav Vikas Singh Kirti Panwar Bhati Dinesh Yadav Tanweer Ali Supreetha B S Dept of Instrumentation and Control Engineering Manipal Institute of Technology Manipal Academy of Higher Education Manipal Karnataka 576104 India Department of Aeronautical and Automobile Engineering Manipal Institute of Technology Manipal Academy of Higher Education Manipal 576104 India School of Electronics Devi Ahilya University Indore 452001 M.P. India Department of Electronics and Communication Engineering Manipal University Jaipur Jaipur Rajasthan India Department of Electronics and Communication Engineering Manipal Institute of Technology Manipal Academy of Higher Education Manipal Karnataka 576104 India

This article presents an innovative Ultra-Wideband (UWB) Miniaturized Radiator tailored for microwave applications. The design addresses key challenges such as achieving broad impedance bandwidth, maintaining a compact form factor, and ensuring high radiation efficiency . Extensive simulations using CST Microwave Studio were conducted on a 13×14×1.5 mm³ FR-4 substrate to comprehensively evaluate the performance of the antenna. The proposed design exhibits notable features, such as an impressive 121.8% impedance bandwidth and a remarkable -28 dB (S 11 ). Ensuring consistent radiation patterns, the antenna guarantees reliable and efficient operation. It operates from 3.4 GHz to 14 GHz, with a middle point of 8.7 GHz, and an efficiency of 82.9% with delivers a wide gain of 3.92 dBi, making it quite suitable for many uses. Its design is particularly suitable for communications in the UWB, S-band, C-band, and X-band.

关键词： Ultra-wideband Compact Antenna Space communication

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Staircase aperture loaded MPA for (B41/n41) Sub-6 GHz for 5G domain

Staircase aperture loaded MPA for (B41/n41) Sub-6 GHz for 5G...

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2020 International Conference engineering and Telecommunication, En and T 2020

作者： Dwivedi, Ajay Kumar Tripathi, Pramod Narayan Yadav, Shekhar Singh, Vivek Nazarov, Alexey Indian Institute of Information Technology Allahabad Department of Electronics and Communication Uttar Pradesh Prayagraj India Moscow Institute of Physics and Technology Department of Radio Engineering and Cybernetics Moscow Russia University of Allahabad Department of Electronics and Communication Uttar Pradesh Prayagraj India Russian Academy of Science Department of Computer Science and Control Moscow Russia

ISBN: (纸本)9781728188294

This article showcases the design and analysis of a staircase aperture loaded microstrip patch antenna (MPA) of dimension 28x23x1.6 mm3. The modelling and simulation are performed using Ansoft HFSS 18. The proposed antenna design operates at two different frequency bands i.e. 2.2 GHz - 2.4 GHz and 5.05 GHz - 5.62 GHz, covering the important bands of Sub-6 GHz frequencies for 5G outdoor applications with dual polarization characteristics. The CP is observed at the higher frequency band i.e. from 5.25 GHz - 5.50 GHz by modifying the ground plane. The proposed design has been verified by validating the simulated results with the measured results using an anechoic chamber. A positive value of gain and radiation efficiency greater than 90% is observed at both the resonating frequencies. © 2020 IEEE.

关键词： Radiation efficiency

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EmotionBox: a music-element-driven emotional music generation system using Recurrent Neural Network

arXiv

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arXiv 2021年

作者： Zheng, Kaitong Meng, Ruijie Zheng, Chengshi Li, Xiaodong Sang, Jinqiu Cai, Juanjuan Wang, Jie Key Laboratory of Noise and Vibration Research Institute of Acoustics Chinese Academy of Sciences Beijing China University of Chinese Academy of Sciences Beijing China State Key Laboratory of Media Convergence and Communication Communication University of China Beijing China School of Electronics and Communication Engineering Guangzhou University Guangzhou China National Environmental Protection Engineering and Technology Center for Road Traffic Noise Control Beijing China

With the development of deep neural networks, automatic music composition has made great progress. Although emotional music can evoke listeners’ different emotions and it is important for artistic expression, only few researches have focused on generating emotional music. This paper presents EmotionBox -an music-element-driven emotional music generator that is capable of composing music given a specific emotion, where this model does not require a music dataset labeled with emotions. Instead, pitch histogram and note density are extracted as features that represent mode and tempo respectively to control music emotions. The subjective listening tests show that the Emotionbox has a more competitive and balanced performance in arousing a specified emotion than the emotion-label-based method. Copyright © 2021, The Authors. All rights reserved.

关键词： Music

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On the regularization and optimization in quantum detector tomography

arXiv

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arXiv 2022年

作者： Xiao, Shuixin Wang, Yuanlong Zhang, Jun Dong, Daoyi Yokoyama, Shota Petersen, Ian R. Yonezawa, Hidehiro University of Michigan Shanghai Jiao Tong University Joint Institute Shanghai Jiao Tong University Shanghai200240 China School of Engineering and Information Technology University of New South Wales CanberraACT2600 Australia Key Laboratory of Systems and Control Academy of Mathematics and Systems Science Chinese Academy of Sciences Beijing100190 China Centre for Quantum Computation and Communication Technology Australian Research Council Centre for Quantum Dynamics Griffith University BrisbaneQLD4111 Australia Centre for Quantum Computation and Communication Technology Australian Research Council CanberraACT2600 Australia School of Engineering Australian National University CanberraACT2601 Australia

Quantum detector tomography (QDT) is a fundamental technique for calibrating quantum devices and performing quantum engineering tasks. In this paper, we utilize regularization to improve the QDT accuracy whenever the probe states are informationally complete or informationally incomplete. In the informationally complete scenario, without regularization, we optimize the resource (probe state) distribution by converting it to a semidefinite programming problem. Then in both the informationally complete and informationally incomplete scenarios, we discuss different regularization forms and prove the mean squared error scales as O(1/N) or tends to a constant with N state copies under the static assumption. We also characterize the ideal best regularization for the identifiable parameters, accounting for both the informationally complete and informationally incomplete scenarios. Numerical examples demonstrate the effectiveness of different regularization forms and a quantum optical experiment test shows that a suitable regularization form can reach a reduced mean squared error. Copyright © 2022, The Authors. All rights reserved.

关键词： Tomography

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Gsgm: A Group-Sequence-Aware Graph Model for Personalized News Recommender System

SSRN

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SSRN 2024年

作者： Lv, Pengtao Zhang, Qinghui Guan, Zhenhan Deveci, Muhammet Shi, Lei Zhong, Kaiyang Wang, Jingping Xu, Heliang Zhang, Yana Ministry of Education Henan Zhengzhou450001 China Henan Key Laboratory of Grain Photoelectric Detection and Control Henan University of Technology Henan Zhengzhou450001 China Henan Grain Big Data Analysis and Application Engineering Research Center Henan University of Technology Henan Zhengzhou450001 China The Bartlett School of Sustainable Construction University College London LondonWC1E 6BT United Kingdom Department of Industrial Engineering Turkish Naval Academy National Defence University Tuzla Istanbul4940 Turkey State Key Laboratory of Media Convergence and Communication Communication University of China Beijing China Ministry of Education Key Laboratory for Intelligent Analysis and Security Governance of Ethnic Languages Minzu University of China Beijing100081 China Southwestern University of Finance and Economics China

News recommender system is an important method of helping readers identify interesting stories. Although human behaviors exhibit sequential patterns, most current studies on news recommendations ignore the influence of reading sequences. Leveraging sequential patterns in news recommendation is, however, very challenging, as the capture of reading behavior sequence at the individual level may be impossible due to severity of sparsity in the field of news. To address this challenge, we proposed a group-sequence-aware graph model (GSGM) to learn representative reading sequences of groups instead of individuals, where groups are viewed as latent variables and automatically learnt from users' reading behaviours. Besides, when readers select different groups, they are likely to have distinct reading preferences. This finding is used to learn group-dependent personal reading preferences in GSGM. A wide range of experiments are conducted to verify the efficiency and effectiveness of the GSGM on real datasets. Experimental results demonstrate that GSGM outperforms the state-of-the-art competing methods. © 2024, The Authors. All rights reserved.

关键词： Recommender systems

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