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Virtual Reality and 3D User Interfaces Abstracts and Workshops (VRW), IEEE Conference on

作者： Jiadong Liang Feng Lu State Key Laboratory of Virtual Reality Technology and Systems School of Computer Science and Engineering Beihang University Beijing China

ISBN: (数字)9798350374490

ISBN: (纸本)9798350374506

Vivid talking face generation has potential applications in virtual reality. Existing methods can generate talking faces that are synchronized with the audio, but typically ignore the accurate expression of emotions. In this paper, we propose an advanced two-step framework to synthesize talking face videos with vivid emotional appearances. The first step is designed to generate emotional fine-grained landmarks, including the normalized landmarks, gaze, and head pose. In the second step, we map the facial landmarks to latent key points, which are then fed into the pre-trained model to generate high-quality face images. Extensive experiments demonstrate the effectiveness of our method.

关键词： Solid modeling Three-dimensional displays Conferences Virtual reality User interfaces Digital humans Synchronization

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MACO: Exploring GEMM Acceleration on a Loosely-Coupled Multi-core Processor

arXiv

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arXiv 2024年

作者： Sui, Bingcai Shen, Junzhong Sun, Caixia Wang, Junhui Zheng, Zhong Guo, Wei School of Computer National University of Defense Technology China Key Laboratory of Advanced Microprocessor Chips and Systems Changsha China

General-purpose processor vendors have integrated customized accelerator in their products due to the widespread use of General Matrix-Matrix Multiplication (GEMM) kernels. However, it remains a challenge to further improve the flexibility and scalability of these GEMM-enhanced processors to cater to the emerging large-scale GEMM workloads. In this paper we propose MACO, a novel loosely-coupled multi-core general-purpose architecture optimized for GEMM-related applications. To enhance the programmability and flexibility of MACO, the paper introduces a tile-based instruction set architecture. Additionally, the paper presents techniques such as hardware-assisted data prefetching and locking, and predictive address translation to further enhance the computational efficiency of MACO for GEMM workloads. The experimental results demonstrate that MACO exhibits good scalability, achieving an average computational efficiency of 90% across multiple cores. Furthermore, evaluations on state-of-the-art deep neural networks show that MACO can achieve up to 1.1 TFLOPS with 88% computational efficiency, indicating its adaptivity to deep learning workloads. Copyright © 2024, The Authors. All rights reserved.

关键词： Computational efficiency

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Hybrid Deadlock Recovery Algorithm for Irregular NoC in Multi-Chiplet systems

Hybrid Deadlock Recovery Algorithm for Irregular NoC in Mult...

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International Symposium on Parallel and Distributed Processing with Applications, ISPA

作者： Zhiqiang Chen Yongwen Wang Hongwei Zhou College of Computer Science and Technology National University of Defense Technology Changsha China Key Laboratory of Advanced Microprocessor Chips and Systems Changsha China

ISBN: (数字)9798331509712

ISBN: (纸本)9798331509729

Dividing a single System-on-Chip (SoC) into multiple chiplets and connecting them using 2.5D packaging technology is becoming a widely adopted approach to enhance chip scale and performance. However, when multiple chiplets are integrated to form a chiplet-based system, the Network-on-Chip (NoC) that interconnects these chiplets can be susceptible to deadlock. Additionally, modularity is a specific concern, as it involves integrating chiplets of different functions, sizes, manufacturing processes, and so on. However, physical layout constraints and potential vertical link failures may result in irregular topologies, which further complicates the design of both fault-tolerant and load-balanced routing algorithms. To tackle these challenges, a Hybrid Deadlock Recovery algorithm for Irregular NoC (HDRI) in multi-chiplet systems is proposed. This algorithm shows adaptability in irregular topologies, additionally exhibiting fault-tolerance capabilities. HDRI features two modes that can dynamically adapt to the network status. Upon detecting a deadlock, it recovers from the deadlock through the coordination of inter-chiplet packets. To be specific, HDRI seeks to break the deadlock by either forwarding or recycling the blocked packets, which respectively correspond to low and high load modes. Experimental results demonstrate that HDRI offers a 7.5% reduction in latency and an area overhead of less than 1.1%.

关键词： Fault tolerance Network topology Chiplets Heuristic algorithms Fault tolerant systems System recovery Routing Routing protocols Topology Recycling

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Data Exploration and Mining on Traditional Chinese Medicine 9th

Data Exploration and Mining on Traditional Chinese Medicine

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9th CCF Conference on Big Data, BigData 2021

作者： Li, Xueyan Rong, Chuitian Chai, Zhengyi Sun, Huabo School of Computer Science and Technology Tiangong University Tianjin China Tianjin Key Laboratory of Autonomous Intelligence Technology and Systems School of Computer Science and Technology Tiangong University Tianjin China Institute of Aviation Safety China Academy of Civil Aviation Science and Technology Beijing China

ISBN: (纸本)9789811697081

The theory of traditional Chinese medicine (TCM) has been developed for a long history and accumulated plenty of knowledge about combating diseases, which is a part of Chinese culture. There have been some related works to analyze TCM data but lack comprehensive insights. With the development of big data analysis technology, it brings new ways to get deep insights from TCM data. In this work, we applied big data techniques to explore the latent knowledge and information of TCM data. The data comes from Chinese Pharmacopoeia and famous ancient classics. We extracted the important attributes of herbs and prescriptions then conducted comprehensive analysis. Specifically, the extracted data are explored and mined by applying the following techniques: statistical analysis, clustering, association rules mining, topic model analysis and so on. By doing above analysis, we have drawn many important unknown conclusions from TCM data and explored the latent patterns and knowledge of it. The results of this paper is helpful to verify the TCM theory and provide assistance and reference to the clinical process. In order to increase the practicability of our discoveries, we developed a system to provide data exploration and visualization. © 2022, Springer Nature Singapore Pte Ltd.

关键词： Big data

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Two-Stage Representation Refinement Based on Convex Combination for 3-D Human Poses Estimation

IEEE Transactions on Artificial Intelligence

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IEEE Transactions on Artificial Intelligence 2024年第12期5卷 6500-6508页

作者： Chen, Luefeng Cao, Wei Zheng, Biao Wu, Min Pedrycz, Witold Hirota, Kaoru China University of Geosciences School of Automation Wuhan430074 China Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systems Wuhan430074 China Ministry of Education Engineering Research Center of Intelligent Technology for Geo-Exploration Wuhan430074 China University of Alberta Department of Electrical and Computer Engineering EdmontonABT6G 2R3 Canada Macau University of Science and Technology Institute of Systems Engineering Taipa999078 China Istinye University Research Center of Performance and Productivity Analysis Istanbul34010 Turkey Tokyo Institute of Technology Yokohama226-8502 Japan

In the human pose estimation task, on the one hand, 3-D pose always has difficulty in dividing different 2-D poses if the view is limited;on the other hand, it is hard to reduce the lifting ambiguity because of the lack of depth information, it is an important and challenging problem. Therefore, two-stage representation refinement based on the convex combination for 3-D human pose estimation is proposed, in which the two-stage method includes a dense-spatial-temporal convolutional network and a local-to-refine network. The former is applied to determine the features between each video frame;the latter is used to get the different scales of pose details. It aims to address the difficulty of estimating 3-D human pose from 2-D image sequences. In such a way, it can better use the relations between every frame in the sequence of the pose video to produce more accurate results. Finally, we combine the above network with a block called convex combination to help refine the 3-D pose location. We test the proposed approach on both Human3.6m and MPII datasets. The result confirms that our method can achieve better performance than improved CNN supervision, a simple yet effective baseline, and coarse-to-fine volumetric prediction. Besides, a robustness test experiment is carried out for the proposed method while the input is interrupted. The result verifies that our method shows better robustness. © 2024 IEEE.

关键词： Convolution

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Polarization-controlled dual resonant lattice Kerker effects

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Nano Research 2023年第2期16卷 3195-3200页

作者： Lei Xiong Xueqian Zhao Xiang Du Shuai Chen Yuanfu Lu Hongwei Ding Guangyuan Li School of Information Science and Engineering Yunnan UniversityKunming 650500China CAS Key Laboratory of Human-Machine Intelligence-Synergy Systems Shenzhen Institute of Advanced TechnologyChinese Academy of SciencesShenzhen 518055China School of Computer Electronic and InformationGuangxi UniversityNanning 530004China College of Physics and Electronic Technology Anhui Normal UniversityWuhu 241000China Tianjin H-Chip Technology Group Corporation Tianjin 300467China SIAT Branch Shenzhen Institute of Artificial Intelligence and Robotics for SocietyShenzhen 518055China

The generalized Kerker effects have attracted increasing interests in recent years due to their abilities to manipulate the far-field properties of ***,the dual-polarized generalized Kerker effect enabling different tailoring of orthogonally-polarized electromagnetic waves has not yet been ***,we demonstrate polarization-controlled dual resonant lattice Kerker effects in periodic silicon *** varying the incident angle,the electric dipole and magnetic dipole surface lattice resonances can spectrally overlap,causing zero reflectance and unitary transmittance,i.e.,the resonant lattice Kerker *** incident angle for achieving this effect can be tuned differently for s-and p-polarizations over large regions by varying the nanodisk size or the lattice *** proposed dual-polarized resonant lattice Kerker effects open up avenues for polarization-controlled manipulation of the phase and wavefront of light with metasurfaces.

关键词： Kerker effect surface lattice resonances dual-polarized silicon metasurface

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Maximum Power Point Tracking for PV systems: A Comparison of Perturb & Observe and Fuzzy Logic Control 11

Maximum Power Point Tracking for PV Systems: A Comparison of...

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11th International Conference on ENERGY and ENVIRONMENT, CIEM 2023

作者： Tahiri, Fadila Hartani, M. Amine Harrouz, Abdelkader Dumbrava, Virgil Wira, Patrice Technology and Sciences Department LDDI Laboratory Adrar Algeria Department of Hydrocarbon and Renewable Energy LDDI Laboratory Adrar Algeria Department of Electric Power Systems Polytechnic University of Bucharest Bucharest Romania Institute for Research in Computer Science Mathematics Automation and Signal Mulhouse France

ISBN: (纸本)9798350340785

The purpose of this research paper is to explore different approaches to maximize power point tracking (MPPT) in photovoltaic (PV) systems. In this work, we evaluate and compare incremental conductance (InC) and fuzzy logic control techniques. To extract the highest amount of power, a DC/DC boost converter is employed between the PV system and the load. Traditional MPPT techniques like InC have demonstrated limitations in effectively identifying and precisely tracking the highest peak, leading to significant power losses, Therefore, a proposed approach called fuzzy logic control is recommended, which provides several advantages including robustness against parameter variations, minimal distortion in current output, and superior reference tracking. Simulation results conducted in MATLAB confirm that the suggested control method effectively reduces steady-state fluctuations and achieves improved tracking of the maximum power point with reduced power losses compared to InC control. ©2023 IEEE.

关键词： Fuzzy logic

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Lag Consensus for Second-Order Nonlinear Multi-Agent systems on the Basis of Passivity 13

Lag Consensus for Second-Order Nonlinear Multi-Agent Systems...

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13th IEEE International Conference on CYBER technology in Automation, Control, and Intelligent systems, CYBER 2023

作者： Liu, Ru-Yue Han, Xiao Wang, Jin-Liang School of Mathematical Sciences Tiangong University Tianjin300387 China School of Mechanical Engineering Tiangong University Tianjin300387 China School of Computer Science and Technology Tianjin Key Laboratory of Autonomous Intelligence Technology and Systems Tiangong University Tianjin300387 China

ISBN: (纸本)9798350315196

This paper investigates lag consensus of second-order nonlinear multi-agent systems (MASs) on the basis of passivity. on one hand, the passivity of single agent is addressed by utilizing the appropriate controller. On the other hand, a criterion is derived for assuring lag consensus of MASs with the help of the passivity of single agent. Finally, the designed strategies are verified through a numerical example. © 2023 IEEE.

关键词： Multi agent systems

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Beam Pattern Modulation Embedded Hybrid Transceiver Optimization for Integrated Sensing and Communication

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IEEE Transactions on Wireless Communications 2025年第6期24卷 4966-4980页

作者： Liu, Boxun Gao, Shijian Yang, Zonghui Cheng, Xiang Yang, Liuqing Peking University State Key Laboratory of Advanced Optical Communication Systems and Networks School of Electronics Beijing100871 China Internet of Things Thrust Guangzhou511400 China Internet of Things Thrust Intelligent Transportation Thrust Guangzhou511400 China The Hong Kong University of Science and Technology Department of Electronic and Computer Engineering Department of Civil and Environmental Engineering SAR Hong Kong Hong Kong

Integrated sensing and communication (ISAC) emerges as a promising technology for 6G, particularly in the millimeter-wave (mmWave) band. However, the widely utilized hybrid architecture in mmWave systems compromises multiplexing gain due to the constraints of limited radio-frequency (RF) chains. Moreover, additional sensing functionalities exacerbate the impairment of spectrum efficiency (SE). In this paper, we present an optimized beam pattern modulation-embedded ISAC (BPM-ISAC) transceiver design, which spares one RF chain for sensing and uses the remaining ones for communication. To compensate for the reduced SE, index modulation across communication beams is applied. We formulate an optimization problem aimed at minimizing the mean squared error (MSE) of the sensing beampattern, subject to a symbol MSE constraint. This problem is then solved by sequentially optimizing the analog and digital parts. Both the multi-aperture structure (MAS) and the multi-beam structure (MBS) are considered in the analog part. We conduct theoretical analysis on the asymptotic pairwise error probability (APEP) and the Cramér-Rao bound (CRB) of direction of arrival (DoA) estimation. Numerical simulations validate the overall enhanced ISAC performance over existing alternatives. © 2025 IEEE. All rights reserved.

关键词： Mean square error

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Organization-wide IOC Monitoring and Security Compliance in Endpoints using Open Source Tools 3

Organization-wide IOC Monitoring and Security Compliance in ...

引用

3rd IEEE Global Conference for Advancement in technology, GCAT 2022

作者： Divya, P.J. George, Reenu Sara Madhusudhan, G. Padmasree, S. Jss Science and Technology University Department of Computer Science and Engineering Mysore India Indian Space Research Organization Information Technology Cell Laboratory for Electro-Optics Systems Bengaluru India

ISBN: (数字)9781665468558

ISBN: (纸本)9781665468534

Endpoint Security is an important layer in cyber security and it is one of the first places organizations look to secure their enterprise network. Proactively and iteratively monitoring endpoints for threats and Indicators of Compromise (IOC), helps security analysts to detect malware/attacks and to respond to incidents quickly. An Indicator of Compromise (IOC) refers to data that indicates that a system may have been infiltrated by a cyber-threat. Cyber security agencies send regular cyber-alerts to various organizations nation-wide and provide IOC list in the form of hashes, IPs, URLs, domains, yara rules, etc. for monitoring the presence of IOCs in their respective network. Periodic auditing of endpoints for security compliance is also a challenging and time-consuming task for every organization. To overcome these challenges, a solution based on client-server architecture is proposed in organizational network using open-source tools named Osquery, Fleet, Filebeat and Graylog. Using these tools, endpoints can be monitored for IOCs on demand or on scheduled manner from a central server. Yara based scan can also be performed efficiently in endpoints to monitor for IOCs using this architecture. In addition to IOC monitoring, this paper explains verifying compliance of endpoints with the organization's security policy using the proposed setup. Impact on performance of the endpoints during query execution was also analyzed. This solution will contribute in strengthening the endpoint security which in turn enhances overall cyber-security posture of the organization. © 2022 IEEE.

关键词： Network architecture

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