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2024 IEEE East-West Design and Test Symposium, EWDTS 2024

作者： Ilkor, Hande Gugul, Gul Nihal Kemerci, Mustafa Gunes, Tugba Institute of Science Selcuk University Faculty of Technology Department of Computer Engineering Konya Turkey Selcuk University Faculty of Technology Department of Computer Engineering Konya Turkey Urbanization and Climate Change General Directorate of Land Registry and Cadastre Republic of Turkey Ministry of Environment Information Processing Department Ankara Turkey Republic of Turkey Ministry of Environment Urbanization and Climate Change General Directorate of Land Registry and Cadastre Cadastre Department Ankara Turkey

ISBN: (纸本)9798331515768

In recent years, number of free cooling system (FCS) applied in datacenters (DC) is increasing due to the provided significant decrease in the electricity consumption and short payback period. However, since FCS is a partially new technology, energy savings potential of FCS has not been sufficiently investigated using real time data series in the literature. In this study, the field measurements and energy performance analysis were performed in an operational DC with water-side free cooling, located in Ankara, Türkiye. Mathematical model of FCS is developed using electricity consumption data of IT devices and FCS, and climate data of Ankara using MS Excel. Electricity consumption of FCS and the PUE of the DC in case of installation of the existing DC in six different climate regions of Turkey were calculated using the developed model. In case of using the FCS, PUE value is obtained less than 1.1 for each location. The result shows that, very low temperatures are not required for the FCS, and the important factor is the number of hours that is lower than the indoor temperature of DC. In case of installation of the DC in Antalya and Şanliurfa, which are among hottest cities of Türkiye, the electricity consumption of the FCS increased by 8 % and 9 %. However, since the energy consumption of FCS is still much lower than the IT consumption compared to the old type cooling systems, the use of the FCS provided adequate saving. © 2024 IEEE.

关键词： DC distribution systems

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Visual Odometry Drift Reduction Based on LiDAR Point Clouds Alignment 17

Visual Odometry Drift Reduction Based on LiDAR Point Clouds ...

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17th IEEE International Conference on Intelligent computer Communication and processing, ICCP 2021

作者： Golban, Cǎtǎlin-Cosmin Cobârzan, Corvin-Petruţ Nedevschi, Sergiu Technical University of Cluj-Napoca Computer Science Department Romania Technical University of Cluj-Napoca Image Processing and Pattern Recognition Group Romania

ISBN: (纸本)9781665409766

Visual and LiDAR based odometry methods are key enablers for autonomous robots sub-problems such as mapping and localization or temporal aggregation and fusion of sensor data. When it comes to trajectory reconstruction the errors of independent local estimations accumulate over time, resulting in overall drifts from the real trajectory. This paper proposes a method for reducing the global drift by correcting the video-based frame-to-frame trajectory estimation at selected points in time based on the alignment of past and current LiDAR 3D measurements. The main strength of the proposed method is the formulation of the problem as a system of linear equations, which is an adequate numerical approximation as the corrective component is small enough. In this way we eliminate the need to deploy expensive non-linear optimization methods for calculating the correction transform. © 2021 IEEE.

关键词： Numerical methods

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There and back again: RDF as a bridge to domain-platforms like OMERO 15

There and back again: RDF as a bridge to domain-platforms li...

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15th International Conference on Semantic Web Applications and Tools for Health Care and Life sciences, SWAT4HCLS 2024

作者： Moore, Josh Waagmeester, Andra Hettne, Kristina Wolstencroft, Katherine Kunis, Susanne German BioImaging e.V. Society for Microscopy and Image Analysis Konstanz Germany Micelio Belgium Centre for Digital Scholarship Leiden University Libraries Netherlands Leiden Institute of Advanced Computer Science Netherlands Department of Biology/Chemistry Center for Cellular Nanoanalytics University Osnabrück Germany

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A Modified EXP3 in Adversarial Bandits with Multi-user Delayed Feedback 29th

A Modified EXP3 in Adversarial Bandits with Multi-user Del...

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29th International Computing and Combinatorics Conference, COCOON 2023

作者： Li, Yandi Guo, Jianxiong Advanced Institute of Natural Sciences Beijing Normal University Zhuhai519087 China Hong Kong Baptist University Hong Kong Guangdong Key Lab of AI and Multi-Modal Data Processing Department of Computer Science BNU-HKBU United International College Zhuhai519087 China

ISBN: (纸本)9783031491924

For the adversarial multi-armed bandit problem with delayed feedback, we consider that the delayed feedback results are from multiple users and are unrestricted on internal distribution. As the player picks an arm, feedback from multiple users may not be received instantly yet after an arbitrary delay of time which is unknown to the player in advance. For different users in a round, the delays in feedback have no latent correlation. Thus, we formulate an adversarial multi-armed bandit problem with multi-user delayed feedback and design a modified EXP3 algorithm named MUD-EXP3, which makes a decision at each round by considering the importance-weighted estimator of the received feedback from different users. On the premise of known terminal round index T, the number of users M, the number of arms N, and upper bound of delay dmax, we prove a regret of O(TM2lnN(Ne+4dmax)). © The Author(s), under exclusive license to Springer Nature Switzerland AG 2024.

关键词： E-learning

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A Novel Wideband CPW-Fed 5.8GHz RFID Tag Antenna

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Chinese Journal of Electronics 2023年第2期21卷 202-208页

作者： Huihui Li Xuanqin Mou Zhen Ji Hang Yu Yan Li Institute of Image Processing and Pattern Recognition Xi'an Jiaotong University Xi'an China College of Computer Science and Software Engineering Shenzhen University Shenzhen China Shenzhen Key Laboratory of Embedded System Design Shenzhen China

A novel wideband 5.8GHz CPW-fed antenna is presented for Radio frequency identification (RFID) tag. Four U-shaped and four L-shaped branches are used as additional resonators to achieve wideband operation. The proposed antenna was analyzed numerically using the Method of moment (MOM) and the Finite element method (FEM). With the antenna size limited to $30\times 30 \text{mm}^{2}$ , the −10dB bandwidth obtained by MOM is 3.235GHz (5.765∼9GHz) and the −9.5dB band-width obtained by FEM is 2.74GHz (5.32∼8.06GHz), corresponding to 55.7% and 47.2% of the center frequency 5.8GHz respectively. Moreover, the simulated results show that the proposed antenna has gain of more than 4.8dBi and the radiation pattern is nearly omnidirectional in the H-plane. The measured −10dB bandwidth is 2.68GHz (5.63GHz∼8.31GHz), 46.2% of the 5.8GHz frequency. Furthermore, there are three measured resonant frequencies at 1.34GHz, 3.23GHz and 5.8GHz with lower than −10dB return loss respectively. The measurement result achieves a wideband RFID tag antenna performance and is in good agreement with the calculated results.

关键词： Antenna measurements Resonant frequency Loss measurement Frequency measurement Finite element analysis Broadband antennas RFID tags

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Extended Version of "New Theory and Faster Computations for Subspace-Based Sensitivity Map Estimation in Multichannel MRI"

arXiv

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arXiv 2023年

作者： Lobos, Rodrigo A. Chan, Chin-Cheng Haldar, Justin P. The Signal and Image Processing Institute Ming Hsieh Department of Electrical and Computer Engineering University of Southern California Los AngelesCA90089 United States

This is an unabridged version of a journal manuscript that has been submitted for publication [1]. (Due to length restrictions, we were forced to remove substantial amounts of content from the version that was submitted to the journal, including more detailed theoretical explanations, additional figures, and a more comprehensive bibliography. This content remains intact in this version of the document). Sensitivity map estimation is important in many multichannel MRI applications. Subspace-based sensitivity map estimation methods like ESPIRiT are popular and perform well, though can be computationally expensive and their theoretical principles can be nontrivial to understand. In the first part of this work, we present a novel theoretical derivation of subspace-based sensitivity map estimation based on a linear-predictability/structured low-rank modeling perspective. This results in an estimation approach that is equivalent to ESPIRiT, but with distinct theory that may be more intuitive for some readers. In the second part of this work, we propose and evaluate a set of computational acceleration approaches (collectively known as PISCO) that can enable substantial improvements in computation time (up to ∼100× in the examples we show) and memory for subspace-based sensitivity map estimation. Copyright © 2023, The Authors. All rights reserved.

关键词： Magnetic resonance imaging

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AUDIO-VISUAL QUALITY ASSESSMENT FOR USER GENERATED CONTENT: DATABASE AND METHOD

arXiv

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arXiv 2023年

作者： Cao, Yuqin Min, Xiongkuo Sun, Wei Zhang, Xiaoping Zhai, Guangtao Institute of Image Communication and Information Processing Shanghai Jiao Tong University China Department of Electrical Computer and Biomedical Engineering Toronto Metropolitan University Canada

With the explosive increase of User Generated Content (UGC), UGC video quality assessment (VQA) becomes more and more important for improving users’ Quality of Experience (QoE). However, most existing UGC VQA studies only focus on the visual distortions of videos, ignoring that the user’s QoE also depends on the accompanying audio signals. In this paper, we conduct the first study to address the problem of UGC audio and video quality assessment (AVQA). Specifically, we construct the first UGC AVQA database named the SJTU-UAV database, which includes 520 in-the-wild UGC audio and video (A/V) sequences, and conduct a user study to obtain the mean opinion scores of the A/V sequences. The content of the SJTU-UAV database is then analyzed from both the audio and video aspects to show the database characteristics. We also design a family of AVQA models, which fuse the popular VQA methods and audio features via support vector regressor (SVR). We validate the effectiveness of the proposed models on the three databases. The experimental results show that with the help of audio signals, the VQA models can evaluate the perceptual quality more accurately. The database will be released to facilitate further research. Copyright © 2023, The Authors. All rights reserved.

关键词： Database systems

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image Denoising Using Bandelets and Hidden Markov Tree Models

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Chinese Journal of Electronics 2023年第4期19卷 646-650页

作者： Wenge Zhang Suang Wang Fang Liu Xinbo Gao Licheng Jiao School of Computer Science and Technology Xidian University Xi'an China Key Laboratory of Intelligent Perception and Image Understanding of Ministry of Education of China Institute of Intelligent Information Processing Xidian University Xi'an China

In this paper, both the marginal and joint statistics of second generation Orthogonal bandelet transform (OBT) coefficients of natural images are firstly studied, and the highly non-Gaussian marginal statistics and strong interscale, interlocation and interdirection dependencies among OBT coefficients are found. Then a Hidden Markov tree (HMT) model in OBT domain which can effectively capture all dependencies across scales, locations and directions is developed. The main contribution of this paper is that it exploits the edge direction information of OBT coefficients, and proposes an image denoising algorithm (B-HMT) based on HMT model in OBT domain. We apply B-HMT to denoise natural images which contaminated by additive Gaussian white noise, and experimental results show that B-HMT outperforms the Wavelet HMT (W-HMT) and Contourlet HMT (C-HMT) in terms of visual effect and objective evaluation criteria.

关键词： Geometry Analytical models Additives Hidden Markov models Transforms White noise Visual effects

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Balance Multi-Head Attention based on Software and Hardware Co-design 9

Balance Multi-Head Attention based on Software and Hardware ...

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9th IEEE International Conference on Cyber Security and Cloud Computing and 8th IEEE International Conference on Edge Computing and Scalable Cloud, CSCloud-EdgeCom 2022

作者： Xu, Dian Hu, Wei Liu, Fang Fan, Zimeng Shi, Qingsong Wuhan University of Science and Technology Hubei Province Key Laboratory of Intelligent Information Processing and Real-time Industrial System College of Computer Science Wuhan China Wuhan University Department of Information Engineering Wuhan Institute of City School of Computer Science Wuhan China Zhejiang University College of Computer Science Hangzhou China

ISBN: (数字)9781665480666

ISBN: (纸本)9781665480666

Recently, the Transformer-based models have achieved leading results in many research areas such as natural language processing and computer vision. However, since Transformer-based models have a huge computational complexities, optimization for Transformer is the focus of current research. the core of Transformer models is the attention module, and in this paper we propose a software and hardware co-designed attention module, which reduces the computational units of the multi-head attention module by balancing the The inference time of the attention module is reduced by balancing the computational units of multiple attention modules. At the same time, we design the corresponding structure on FPGA, which accelerate 14.6x inference time in comparison with the original attention module implementation on GPU. We applied this attention module to multiple visual Transformer models and tested the accuracy difference between the balanced multi-head attention module-based model and the original model on CIFAR-10, and obtained a result of 80.46%, which lower from the original version by 0.18%. © 2022 IEEE.

关键词： Field programmable gate arrays (FPGA)

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Aberrant High-Order Dependencies in Schizophrenia Resting-State Functional MRI Networks

arXiv

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arXiv 2023年

作者： Li, Qiang Calhoun, Vince D. Ballem, Adithya Ram Iraji, Armin Yu, Shujian Malo, Jesus Georgia State University Georgia Institute of Technology Emory University AtlantaGA United States Department of Computer Science Georgia State University AtlantaGA United States Department of Computer Science Vrije Universiteit Amsterdam Netherlands Image Processing Laboratory University of Valencia Spain

The human brain has a complex, intricate functional architecture. While many studies primarily emphasize pairwise interactions, delving into high-order associations is crucial for a comprehensive understanding of how functional brain networks intricately interact beyond simple pairwise connections. Analyzing high-order statistics allows us to explore the nuanced and complex relationships across the brain, unraveling the heterogeneity and uncovering patterns of multilevel overlap on the psychosis continuum. Here, we employed high-order independent component analysis (ICA) plus multivariate information-theoretical metrics (O-information and S-information) to estimate high-order interaction to examine schizophrenia using resting-state fMRI. The results show that multiple brain regions networks may be altered in schizophrenia, such as temporal, subcortical, and higher-cognitive brain regions, and meanwhile, it also shows that revealed synergy gives more information than redundancy in diagnosing schizophrenia. All in all, we showed that high-order dependencies were altered in schizophrenia. Identification of these aberrant patterns will give us a new window to diagnose schizophrenia. © 2023, CC BY.

关键词： Complex networks

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