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A Bitcoin Address Multi-Classification Mechanism Based on Bipartite Graph-Based Maximization Consensus

Computer Modeling in engineering & Sciences 2024年第4期139卷 783-800页

作者： Lejun Zhang Junjie Zhang Kentaroh Toyoda Yuan Liu Jing Qiu Zhihong Tian Ran Guo College of Information Engineering Yangzhou UniversityYangzhou225127China Cyberspace Institute Advanced Technology Guangzhou UniversityGuangzhou510006China Research and Development Center for E-Learning Ministry of EducationBeijing100039China Institute of High Performance Computing(IHPC) Agency for ScienceTechnology and Research(A∗STAR)Singapore138632Singapore School of Physics and Materials Science Guangzhou UniversityGuangzhou510006China

Bitcoin is widely used as the most classic electronic currency for various electronic services such as exchanges,gambling,marketplaces,and also scams such as high-yield investment *** the services operated by a Bitcoin address can help determine the risk level of that address and build an alert model *** engineering can also be used to flesh out labeled addresses and to analyze the current state of Bitcoin in a small *** this paper,we address the problem of identifying multiple classes of Bitcoin services,and for the poor classification of individual addresses that do not have significant features,we propose a Bitcoin address identification scheme based on joint multi-model prediction using the mapping relationship between addresses and *** innovation of the method is to(1)Extract as many valuable features as possible when an address is given to facilitate the multi-class service identification task.(2)Unlike the general supervised model approach,this paper proposes a joint prediction scheme for multiple learners based on address-entity mapping ***,after obtaining the overall features,the address classification and entity clustering tasks are performed separately,and the results are subjected to graph-basedmaximization *** final result ismade to baseline the individual address classification results while satisfying the constraint of having similarly behaving entities as far as *** testing and evaluating over 26,000 Bitcoin addresses,our feature extraction method captures more useful *** addition,the combined multi-learner model obtained results that exceeded the baseline classifier reaching an accuracy of 77.4%.

关键词： Bitcoin multi-service classification graph maximization consensus data security

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Depth Estimation Method for Monocular Images Combined with Position Estimation 13

Depth Estimation Method for Monocular Images Combined with P...

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13th International Conference of Information and Communication Technology, ICTech 2024

作者： Wang, Hongliang Liu, Xingyu Li, Yang Xing, Guoyang Shenyang Institute of Computing Technology Chinese Academy of Sciences University of Chinese Academy of Sciences Liaoning Province Human-Computer Interaction System Engineering Research Center Based on Digital Twin Shenyang China

ISBN: (纸本)9798350376258

—In this paper, we propose a monocular image depth estimation method based on ResNet and bitmap estimation. Traditional monocular depth estimation methods usually utilize convolutional neural networks (CNNs) for end-to-end training, but often require large amounts of labeled data. To overcome the problem of difficult data labeling, we use a competitive cooperative learning approach to jointly train depth estimation networks, camera motion estimation, optical flow estimation, and motion segmentation networks. We use ResNet as the backbone network for depth estimation, which achieves efficient feature transfer through residual concatenation. In addition, we introduce a bit-position estimation module to assist the depth estimation task by estimating camera motion and bit-position information. Experimental results show that our proposed method achieves good performance in the monocular depth estimation task and still achieves satisfactory results in the absence of labeled data. ©2024 IEEE.

关键词： Convolutional neural networks

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Optimization of multiplexer combination in rtl logic synthesis

Optimization of multiplexer combination in rtl logic synthes...

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2023 International Symposium of Electronics Design Automation, ISEDA 2023

作者： Wang, Zicheng You, Hailong Wang, Jie Liu, Meihua Su, Yu Zhang, Yong School of Microelectronics Xidian University Xian China Institute of Advanced Computing and Digital Engineering Shenzhen Institude of Advanced Technology Chinese Academy of Sciences Shenzhen China Shenzhen GWX Technology Co. Ltd. Shenzhen China

ISBN: (纸本)9798350304510

The paper presents an optimizable multiplexer combination in logic synthesis of RTL level circuits. There are often some redundant multiplexers in the circuit, the deletion or optimization of these multiplexers does not affect the design behavior of circuits. Therefore, we propose a special multiplexer combination. It can be optimized on the premise that the logic function of the circuit remains unchanged, and it can also be merged with other traditional optimizable multiplexers to further optimize the circuit. In the paper, we use examples to optimize and verify, the results show that the optimizable combination can effectively reduce the number of multiplexers, The results show that the optimizable combination can significantly reduce the number of multiplexer elements, and appears more frequently and probably in the circuit. The optimizable combination is feasible and practical in the logic synthesis of circuits, which can effectively reduce the number of elements and design scale of the circuit. © 2023 IEEE.

关键词： Computer circuits

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Comprehensive Averaged Model of DCM-Operated Boost Converter Fed by PV Source 4

Comprehensive Averaged Model of DCM-Operated Boost Converter...

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4th International Conference on Smart Grid and Renewable Energy, SGRE 2024

作者： Fairouz, Fatima A Elgendy, Mohammed A Muhammed, Musbahu Newcastle University School of Engineering Newcastle Upon Tyne United Kingdom Renewable Energy Program Kuwait Institute for Scientific Research Industrial Shuwaikh Kuwait Teesside University School of Computing Engineering & Digital Technologies Middlesbrough United Kingdom

ISBN: (纸本)9798350306262

The average model of DC-DC converters is commonly used to analyze the control stability and dynamics of switched-mode converters. Although the average model of the boost converter (BC) in the continuous conduction mode (CCM) and the discontinuous conduction modes (DCM) is well-covered in the literature, the modelling and control of the DCM-operated BC with the maximum power point tracking (MPPT) has not been paid much attention. In this paper, a comprehensive state-space averaged model of DCM-operated BC fed by photovoltaic (PV) source is derived. Higher-order, lower-order, reduced-order, and full-order models are considered. MATLAB simulation is used to verify the derived models. The converter dynamics were analyzed based on the bode-plot and the step-response for each model. Results show that the lower-full-order model is considered the most suitable choice for modelling the DCM-operated boost converter. © 2024 IEEE.

关键词： Boost converter

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Detecting Double Mixed Compressed Images Based on Quaternion Convolutional Neural Network

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Chinese Journal of Electronics 2024年第3期33卷 657-671页

作者： Hao WANG Jinwei WANG Xuelong HU Bingtao HU Qilin YIN Xiangyang LUO Bin MA Jinsheng SUN Department of Automation Nanjing University of Science and Technology Engineering Research Center of Digital Forensics Ministry of Education Department of Computer and Software Nanjing University of Information Science and Technology School of Management Nanjing University of Posts and Telecommunications Department of Computer Science and Engineering Guangdong Province Key Laboratory of Information Security Technology Sun Yat-sen University State Key Laboratory of Mathematical Engineering and Advanced Computing Qilu University of Technology

Detection of color images that have undergone double compression is a critical aspect of digital image *** the existence of various methods capable of detecting double Joint Photographic Experts Group(JPEG) compression,they are unable to address the issue of mixed double compression resulting from the use of different compression *** particular,the implementation of Joint Photographic Experts Group 2000(JPEG2000)as the secondary compression standard can result in a decline or complete loss of performance in existing *** tackle this challenge of JPEG+JPEG2000 compression,a detection method based on quaternion convolutional neural networks(QCNN) is *** QCNN processes the data as a quaternion,transforming the components of a traditional convolutional neural network(CNN) into a quaternion *** relationships between the color channels of the image are preserved,and the utilization of color information is ***,the method includes a feature conversion module that converts the extracted features into quaternion statistical features,thereby amplifying the evidence of double *** results indicate that the proposed QCNN-based method improves,on average,by 27% compared to existing methods in the detection of JPEG+JPEG2000 compression.

关键词： Color image forensics JPEG JPEG2000 Mixed double compression Quaternion convolutional neural network

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Seasonal Changes of Rice Paddy Field Observed by ALOS2/PALSAR2 Polarimetric Mode

Seasonal Changes of Rice Paddy Field Observed by ALOS2/PALSA...

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2024 International Symposium on Antennas and Propagation, ISAP 2024

作者： Yamaguchi, Yoshio Sato, Ryoichi Sugimoto, Ryu Faculty of Engineering Niigata University Niigata Japan Faculty of Education Niigata University Niigata Japan Digital Archtecture Research Center National Institute of Advanced Industrial Science and Technology Tokyo Japan

ISBN: (纸本)9798350364774

This paper presents time-series polarimetric decomposition images over rice paddy field observed by advanced Land Observing Satellite 2 (ALOS2)/Phased Array type L-band Synthetic Aperture Radar (PALSAR2).When planting row in paddy field is parallel to the orbit, the scattering phenomena throughout year exhibit significant changes according to the rice growing stage on the bare surface *** polarimetric observation data have been processed by G4U decomposition method which extracts the surface scattering and the double bounce scattering very *** decomposition images show significant seasonal changes of rice paddy field by the capability of polarimetric synthetic aperture radar (PolSAR) data. © 2024 IEEE.

关键词： Polarimeters

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Asymmetric scattering behaviors of spin wave dependent on magnetic vortex chirality

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Chinese Physics B 2023年第10期32卷 635-640页

作者：张雪枫沈帝虎马晓萍宋成于海明朴红光 Hubei Engineering Research Center of Weak Magnetic-Field Detection China Three Gorges UniversityYichang 443002China Department of Physics College of ScienceYanbian UniversityYanji 133002China Key Laboratory of Advanced Materials(MOE) School of Materials Science and EngineeringTsinghua UniversityBeijing 100084China Fert Beijing Institute School of Integrated Circuit Science and EngineeringBeijing Advanced Innovation Center for Big Data and Brain ComputingBeihang UniversityBeijing 100191China

We investigate asymmetric spin wave scattering behaviors caused by vortex chirality in a cross-shaped ferromagnetic system by using the micromagnetic *** the system,four scattering behaviors are found:(i)asymmetric skew scattering,depending on the polarity of vortex core,(ii)back scattering(reflection),depending on the vortex core stiffness,(iii)side deflection scattering,depending on structural symmetry of the vortex circulation,and(iv)geometrical scattering,depending on waveguide *** first and second scattering behaviors are attributed to nonlinear topological magnon spin Hall effect related to magnon spin-transfer torque effect,which has value for magnonic exploration and application.

关键词： magnonics magnetic vortex spin wave magnetic chirality

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Boosting the generation rate of squeezed single-photon states by generalized photon subtraction

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Physical Review A 2024年第3期110卷 033717页

作者： Hiroko Tomoda Akihiro Machinaga Kan Takase Jun Harada Takahiro Kashiwazaki Takeshi Umeki Shigehito Miki Fumihiro China Masahiro Yabuno Hirotaka Terai Daichi Okuno Shuntaro Takeda Department of Applied Physics School of Engineering Optical Quantum Computing Research Team NTT Device Technology Labs Advanced ICT Research Institute

In optical quantum information processing with continuous variables, optical non-Gaussian quantum states are essential for universal and fault-tolerant quantum computation. Experimentally, their most typical generation method is photon subtraction (PS), where single-photon detection by an on/off detector probabilistically heralds the generation of squeezed single-photon states. In PS, however, trying to avoid unwanted multiphoton detection inevitably limits the generation rate, hindering the application of squeezed single-photon states. Here, we theoretically show that generalized photon subtraction (GPS), a simple extension of PS, can improve the generation rate while maintaining the quality of the generated states. Furthermore, we experimentally demonstrate the generation rate improvement for 2-dB- and 4-dB-squeezed single-photon states compared to PS, by more than one order of magnitude, particularly for the case of 2 dB. Our results will accelerate the application of squeezed single-photon states to more advanced quantum information protocols.

关键词： Quantum information processing Quantum optics

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Algorithm for Gastrointestinal Tumor Detection based on Multimodal Large-scale Models in the Medical Domain 13

Algorithm for Gastrointestinal Tumor Detection based on Mult...

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13th International Conference of Information and Communication Technology, ICTech 2024

作者： Li, Hu Wang, Hongliang Shenyang Institute of Computing Technology Chinese Academy of Sciences University of Chinese Academy of Sciences Beijing China Shenyang Institute of Computing Technology Chinese Academy of Sciences University of Chinese Academy of Sciences Liaoning Province Human-Computer Interaction System Engineering Research Center Based on Digital Twin Beijing China

ISBN: (纸本)9798350376258

A new Chinese gastrointestinal tumor visual language medical model is proposed. This model integrates text and image analysis capabilities, allowing it to simultaneously explain gastrointestinal tumor images and text. The model adopts a framework design that combines a visual transformer and a foundation language model in two parts. It enhances the abilities of feature matching and instruction learning in two stages through deep training. This method improves the model's ability to perform medical summarization and answer complex medical questions. In addition, a gastrointestinal tumor medical image dataset has been organized. It contains more than 20,000 medical images paired with corresponding text. These medical resources have been organized to facilitate comprehensive interpretation of gastrointestinal tumors, which is conducive to assisting gastrointestinal tumor detection and identification. In summary, the introduction of this model and dataset can greatly promote Chinese gastrointestinal tumor detection and recognition, and provide help for many medical workers and patients. ©2024 IEEE.

关键词： Visual languages

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Optimized Campus Navigation using Mobile App: Network Analysis for Effective Route Planning 7

Optimized Campus Navigation using Mobile App: Network Analys...

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7th International Conference on Internet Applications, Protocols, and Services, NETAPPS 2024

作者： Mansor, Nur Suhaili Awang, Hapini Radzali, Nur Faridatul Jamalia Bluszcz, Anna Zolkipli, Amirulikhsan Yee, Pee Foo Institute for Advanced and Smart Digital Opportunities School of Computing Universiti Utara Malaysia Sintok Malaysia School of Education and Human Sciences Albukhary International University Kedah Malaysia Faculty of Mining Safety Engineering and Industrial Automation Silesian University of Technology Poland School of Computing Universiti Utara Malaysia Sintok Malaysia

ISBN: (纸本)9798331519513

The scholarly article examines prevalent difficulties encountered by students in maneuvering through campus by proposing a solution grounded in network analysis. The investigation underscores the creation of a Route Planner mobile application, which utilizes Dijkstra's algorithm to facilitate optimized navigation and shortest-path routing. This methodology guarantees that students are provided with the most effective routes, thereby minimizing travel duration and reducing detours, thus enhancing their overall campus experience. The application was designed employing an Agile software development life cycle, which permitted adaptability and iterative enhancements informed by user feedback. Usability assessments were pivotal in refining the application's functionality and user interface, ensuring it addressed the practical requirements of students. The findings indicated that 70% of participants agreed that the Route Planner would be user-friendly. In addition to its technical execution, the Route Planner advocates for sustainable transportation practices on campus by promoting efficient route planning and minimizing resource wastage. The application also encourages inclusivity by facilitating more straightforward navigation for all students, particularly newcomers, fostering their confidence in traversing campus. This advancement exemplifies the potential of amalgamating network analysis with mobile navigation to devise practical, socially advantageous tools within academic settings. Ultimately, the research underscores the application's significance in enhancing campus exploration, augmenting usability, and contributing to the disciplines of computer networks and mobile navigation systems. © 2024 IEEE.

关键词： Mobile applications

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