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arXiv 2025年

作者： Zhang, Kunpeng Xu, Lei Yi, Xinlei Cao, Ming Johansson, Karl H. Chai, Tianyou Yang, Tao State Key Laboratory of Synthetical Automation for Process Industries Northeastern University Shenyang110819 China Department of Mechanical Engineering University of Victoria VictoriaBCV8W 2Y2 Canada Shanghai Institute of Intelligent Science and Technology National Key Laboratory of Autonomous Intelligent Unmanned Systems Frontiers Science Center for Intelligent Autonomous Systems Ministry of Education Shanghai201210 China Engineering and Technology Institute Groningen Faculty of Science and Engineering University of Groningen GroningenAG 9747 Netherlands Division of Decision and Control Systems School of Electrical Engineering and Computer Science KTH Royal Institute of Technology Sweden Digital Futures Stockholm10044 Sweden

This paper considers distributed online nonconvex optimization with time-varying inequality constraints over a network of agents. For a time-varying graph, we propose a distributed online primal–dual algorithm with compressed communication to efficiently utilize communication resources. We show that the proposed algorithm establishes an O(T max{1−θ1,θ1}) network regret bound and an O(T 1−θ1/2) network cumulative constraint violation bound, where T is the number of iterations and θ1 ∈ (0, 1) is a user-defined trade-off parameter. When Slater’s condition holds (i.e, there is a point that strictly satisfies the inequality constraints at all iterations), the network cumulative constraint violation bound is reduced to O(T 1−θ1). These bounds are comparable to the state-of-the-art results established by existing distributed online algorithms with perfect communication for distributed online convex optimization with (time-varying) inequality constraints. Finally, a simulation example is presented to validate the theoretical results. Copyright © 2025, The Authors. All rights reserved.

关键词： Convex optimization

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DFGC-VRA: DeepFake Game Competition on Visual Realism Assessment

DFGC-VRA: DeepFake Game Competition on Visual Realism Assess...

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IEEE International Joint Conference on Biometrics (IJCB)

作者： Bo Peng Xianyun Sun Caiyong Wang Wei Wang Jing Dong Zhenan Sun Rongyu Zhang Heng Cong Lingzhi Fu Hao Wang Yusheng Zhang Hanyuan Zhang Xin Zhang Boyuan Liu Hefei Ling Luka Dragar Borut Batagelj Peter Peer Vitomir Štruc Xinghui Zhou Kunlin Liu Weitao Feng Weiming Zhang Haitao Wang Wenxiu Diao Center for Research on Intelligent Perception and Computing (CRIPAC) Institute of Automation Chinese Academy of Sciences (CASIA) Beijing China Beijing University of Civil Engineering and Architecture (BUCEA) China Interactive Entertainment Group of Netease Inc Guangzhou China Huazhong University of Science and Technology (HUST) China Faculty of Computer and Information Science University of Ljubljana (UNILJ) Slovenia Faculty of Electrical Engineering University of Ljubljana (UNILJ) Slovenia University of Science and Technology of China (USTC) China Institute of Network Technology (INT) Yantai China Nanjing University of Science and Technology (NUST) China

This paper presents the summary report on the DeepFake Game Competition on Visual Realism Assessment (DFGC-VRA). Deep-learning based face-swap videos, also known as deepfakes, are becoming more and more realistic and deceiving. The malicious usage of these face-swap videos has caused wide concerns. There is a ongoing deepfake game between its creators and detectors, with the human in the loop. The research community has been focusing on the automatic detection of these fake videos, but the assessment of their visual realism, as perceived by human eyes, is still an unexplored dimension. Visual realism assessment, or VRA, is essential for assessing the potential impact that may be brought by a specific face-swap video, and it is also useful as a quality metric to compare different face-swap methods. This is the third edition of DFGC competitions, which focuses on the new visual realism assessment topic, different from previous ones that compete creators versus detectors. With this competition, we conduct a comprehensive study of the SOTA performance on the new task. We also release our MindSpore codes to further facilitate research in this field (https://***/bomb2peng/DFGC-VRA-benckmark).

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Development of Control Modes Used in Manipulator for Remote USG Examination 20th

Development of Control Modes Used in Manipulator for Remote ...

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20th Polish Control Conference, PCC 2020

作者： Kurnicki, Adam Stanczyk, Bartlomiej Department of Automation and Metrology Faculty of Electrical Engineering and Computer Science Lublin University of Technology ul. Nadbystrzycka 38a Lublin20-618 Poland ACCREA Engineering ul. Hiacyntowa 20 Lublin20-143 Poland

ISBN: (纸本)9783030509354

The article focuses on design and implementation of control modes for the control system of a manipulator used as the main part of a robot for remote medical ultrasound examination. This control system has been developed within the ReMeDi (Remote Medical Diagnostician) project. At the beginning of the article, the manipulator kinematics and its control system structure are addressed. The essential components of the control system are discussed in detail. Finally, issues connected with design of control modes and their solutions are presented. © 2020, Springer Nature Switzerland AG.

关键词： Manipulators

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PoW-Based Sybil Attack Resistant Model for P2P Reputation Systems 2nd

PoW-Based Sybil Attack Resistant Model for P2P Reputation Sy...

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2nd International Conference on Blockchain and Trustworthy Systems, Blocksys 2020

作者： Li, Biaoqi Fu, Xiaodong Yue, Kun Liu, Li Liu, Lijun Feng, Yong Yunnan Provincial Key Laboratory of Computer Technology Application Kunming650500 China Faculty of Information Engineering and Automation Kunming University of Science and Technology Kunming650500 China School of Information Science and Engineering Yunnan University Kunming650091 China

ISBN: (纸本)9789811592126

Peer-to-peer and other distributed systems are known particularly vulnerable to Sybil attack, so is P2P reputation systems. Reputation helps users to make better decisions in P2P systems, but Sybil attacker can obtain multiple identities and pretends to be multiple. It can control more than "one vote" to let others’ reputation change just as the attacker wants. This paper presents a Sybil attacker resistant model for P2P reputation systems by introducing multiple rounds of PoW (Proof-of-Work) verification and dynamic difficulty adjustment. A savvy attacker usually doesn’t carry out attacks without positive returns, so we minimize the expected profit of attackers through the using of puzzles. The costs and benefits are quantified as effectiveness in our model. We explore the effectiveness in two types of comparison, one is in dynamic or static difficulty adjustment, the other is executing once or multiple rounds of verification, and show the effectiveness of our model both analytically and experimentally. © 2020, Springer Nature Singapore Pte Ltd.

关键词： Peer to peer networks

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NTIRE 2023 Challenge on Efficient Super-Resolution: Methods and Results

NTIRE 2023 Challenge on Efficient Super-Resolution: Methods ...

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2023 IEEE/CVF Conference on computer Vision and Pattern Recognition Workshops, CVPRW 2023

作者： Li, Yawei Zhang, Yulun Timofte, Radu Van Gool, Luc Yu, Lei Li, Youwei Li, Xinpeng Jiang, Ting Wu, Qi Han, Mingyan Lin, Wenjie Jiang, Chengzhi Luo, Jinting Fan, Haoqiang Liu, Shuaicheng Wang, Yucong Cai, Minjie Li, Mingxi Zhang, Yuhang Fan, Xian-Jun Sheng, Yankai Mao, Yanyu Zhang, Nihao Wang, Qian Zheng, Mingjun Sun, Long Pan, Jinshan Dong, Jiangxin Tang, Jinhui Yang, Zhongbao Wang, Yan Pan, Erlin Cai, Qixuan Dai, Xinan Zhussip, Magauiya Kalyazin, Nikolay Vyal, Dmitry Zou, Xueyi Yan, Youliang Chung, Heaseo Zhang, Jin Yu, Gaocheng Zhang, Feng Wang, Hongbin Liao, Bohao Du, Zhibo Wu, Yu-Liang Shi, Gege Peng, Long Wang, Yang Cao, Yang Zha, Zhengjun Huang, Zhi-Kai Chen, Yi-Chung Chiang, Yuan-Chun Yang, Hao-Hsiang Chen, Wei-Ting Chang, Hua-En Chen, I-Hsiang Hsieh, Chia-Hsuan Kuo, Sy-Yen Liu, Xin Pan, Jiahao Yu, Hongyuan Yu, Weichen Ge, Lin Dong, Jiahua Zou, Yajun Wu, Zhuoyuan Han, Binnan Zhang, Xiaolin Zhang, Heng Yin, Xuanwu Zuo, Kunlong Deng, Weijian Yuan, Hongjie Lu, Zengtong Ouyang, Mingyu Ma, Wenzhuo Liu, Nian Zheng, Hanyou Zhang, Yuantong Zhang, Junxi Chen, Zhenzhong Gendy, Garas Sabor, Nabil Hou, Jingchao He, Guanghui Zhu, Yurui Wang, Xi Fu, Xueyang Zha, Zheng-Jun Yin, Daheng Liu, Mengyang Chen, Baijun Li, Ao Luo, Lei Jin, Kangjun Zhu, Ce Zhang, Xiaoming Xie, Chengxing Li, Linze Meng, Haiteng Zhang, Tianlin Li, Tianrui Zhao, Xiaole Zhang, Zhao Li, Baiang Zheng, Huan Zhao, Suiyi Gao, Yangcheng Ren, Jiahuan Hu, Kang Shi, Jingpeng Wu, Zhijian Huang, Dingjiang Zhu, Jinchen Li, Hui Xv, Qianru Liu, Tianle Weng, Shizhuang Wu, Gang Jiang, Junpeng Liu, Xianming Jiang, Junjun Zhang, Mingjian Hu, Jing Wu, Chengxu Fan, Qinrui Feng, Chengming Luo, Ziwei Hu, Shu Lyu, Siwei Wu, Xi Wang, Xin Computer Vision Lab ETH Zurich Switzerland Computer Vision Lab University of Würzburg Germany Megvii Technology China MicroBT China College of Computer Science and Electronic Engineering Hunan University China Attrsense Xian University of Posts and Telecommunications Xi'an China National Engineering Laboratory for Cyber Event Warning and Control Technologies China Nanjing University of Science and Technology China Nankai University China University of Electronic Science and Technology of China China Tianjin University China Noah's Ark Lab Huawei Technologies McMaster University Canada Espresomedia Korea Republic of AntGroup China University of Science and Technology of China China Department of Electrical Engineering National Taiwan University Taiwan Graduate Institute of Communication Engineering National Taiwan University Taiwan Graduate Institute of Electronics Engineering National Taiwan University Taiwan ServiceNow United States China Mobile Research Institute China Chongqing University of Technology China Multimedia Department Xiaomi Inc. China Institute of Automation Chinese Academy of Sciences China Shenyang Institute of Automation Chinese Academy of Sciences China School of Information and Communication Engineering Communication University of China China Smart Classroom Division Ruijie Networks Co. Ltd. China School of Remote Sensing and Information Engineering Wuhan University China Micro-Nano Electronics Department Shanghai Jiao Tong University Shanghai200240 China Electrical Engineering Department Faculty of Engineering Assiut University Assiut71516 Egypt Southeast University China University of Electronic Science and Technology of China Chengdu China Chongqing University of Posts and Telecommunications Chongqing China Information Technology Co. Ltd Hangzhou China Southwest Jiaotong University China National Space Science Center Chinese Academy of Science China Hefei University of Technology Hefei China Anhui University China Fried Ric

ISBN: (纸本)9798350302493

This paper reviews the NTIRE 2023 challenge on efficient single-image super-resolution with a focus on the proposed solutions and results. The aim of this challenge is to devise a network that reduces one or several aspects such as runtime, parameters, FLOPs, activations, memory footprint, and depth of RFDN while at least maintaining the PSNR of 29.00dB on DIV2K validation datasets. The challenge had 272 registered participants, and 35 teams made valid submissions. They gauge the state-of-the-art for efficient single-image super-resolution. © 2023 IEEE.

关键词： Optical resolving power

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Development of a UAV-based System for Technical Diagnostics of Overhead Power Lines

Development of a UAV-based System for Technical Diagnostics ...

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International Conference on Computational Problems of Electrical engineering (CPEE)

作者： Oleksandr Kozlovskyi Dmitro Trushakov Serhiy Rendzinyak Vasyl Korud Department of Electrical Systems and Energy Management Central Ukrainian National Technical University Kropyvnytskyi Ukraine Department of Automation and Control in Technical Systems Central Ukrainian National Technical University Kropyvnytskyi Ukraine Faculty of Electronics and Computer Technologies Ivan Franko National University of Lviv Lviv Ukraine Institute of Power Engineering and Control System Lviv Polytechnic National University Lviv Ukraine

The problems associated with the operation of overhead power lines and ways of improving control over their condition with the help of UAVs are considered. A structural diagram of the system of technical diagnostics of overhead lines based on UAVs was developed, for which the necessary diagnostic parameters were selected according to informative criteria. An analysis of types of UAVs was carried out in order to determine their suitability and efficiency of use for diagnosing the condition of overhead lines.

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Heat Transfer Performance of Flat Micro-Heat Pipe with Sintered Multi-Size Copper Powder Wick

SSRN

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SSRN 2022年

作者： Zhao, Zhengang Peng, Guohong Zhang, Yanhui Zhang, Dacheng Faculty of Information Engineering and Automation Kunming University of Science and Technology Kunming650500 China Yunnan Key Laboratory of Green Energy Electric Power Measurement Digitalization Control and Protection Yunnan Kunming650500 China Yunnan Key Laboratory of Computer Technologies Application Kunming650500 China

Flat Micro-Heat Pipe (FMHP) with sintered copper powder wick is a popular device for heat flux management of highly integrated electronic circuits. To this end, a Sintered Multi-size copper powder wick (SMW) is prepared, basing a Sintered Single-size copper powder wick (SSW). The evaporator and condenser section of the SMW is a doublelayer structure with two copper powder diameters to increase the evaporation and condensation rates inside the FMHP. The adiabatic section is a single-layer structure with single powder diameter to add a capillary gradient force in the liquid channel. Six SSWs with different copper powder diameters are prepared and tested to compare with SMW. The methanol pumping experiment is carried out to evaluate the capillary pressure of different wicks, and the surface temperature experiment is carried out to evaluate the thermal transfer performance of the FMHP with different wicks, respectively. The experimental results show that the liquid transfer time of the SMW is shortened 16.59% compared to the SSW. The dynamic response time constant of the SMW FMHP is decreased by 0.9 s , and the overall thermal resistance is reduced by 14.22%. The SMW can enhance the heat transfer performance of the FMHP. © 2022, The Authors. All rights reserved.

关键词： Heat pipes

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Model-free power optimization of wind farm based on nelder-mead method 2

Model-free power optimization of wind farm based on nelder-m...

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2nd International Conference on Smart Power and Internet Energy Systems, SPIES 2020

作者： Xu, Zhiwei Geng, Hua Chu, Bing Tsinghua University Beijing National Research Center for Information Science and Technology Department of Automation Beijing China University of Southampton School of Electronics and Computer Science Faculty of Physical Sciences and Engineering Southampton United Kingdom

ISBN: (纸本)9781728166117

Wake effects generated by wind turbines causes the strong wake interactions among turbines and thus significantly lowers the power output of wind farm. However, it is generally difficult to model the interactions between turbines due to its complexity. To mitigate the wake interactions and thus improve the power output of wind farm, this paper proposes a model-free optimization scheme. The power optimization problem of wind farm is divided into several optimization sub-problems according to the power efficiencies of wind farm under different wind directions. Each optimization sub-problem is solved approximately by developed power optimization algorithm based on Nelder-Mead method. Simulation results show that the proposed scheme can quickly and effectively improve the power output of wind farm in complex wind condition without modeling the wake interactions among the turbines. © 2020 IEEE.

关键词： Optimization

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Algorithm for the Camera Scene 3D Model Calculation 15

Algorithm for the Camera Scene 3D Model Calculation

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15th International Scientific-Technical Conference on Actual Problems of Electronic Instrument engineering, APEIE 2021

作者： Mikhaylenko, Dmitriy A. Yakimenko, Alexander A. Novosibirsk State Technical University Faculty of Automation and Computer Engineering Novosibirsk Russia Fac. of Automat. and Comp. Eng. Novosibirsk State Tech. Univ. Lab. of Geophys. Info. Inst. of Compl. Math. and Math. Geophys. SB RAS Novosibirsk Russia

ISBN: (纸本)9781665434089

Modern 3D reconstruction algorithms offer a wide range of methods and tools for building a model of the surrounding space. Most of the approaches require the use of additional equipment, such as: lidars, laser scanners, stereo cameras. At best, a video camera with high-definition resolution is required. The cost of auxiliary equipment limits the availability of these methods. In addition, using 3D reconstruction approaches for the task of obtaining a video surveillance scene leads to the problem of determining the location of the camera in the resulting model. To avoid this problem, the spatial information obtaining by the surveillance cameras itself is suggested. Since the cameras using in surveillance are usually not a stereo pairs and in a worst scenario placed without overlapping, the suggested approach is to extract the spatial information during the calibration. This article presents an algorithm for obtaining a 3D model of the camera scene using the reference points acquired during calibration. © 2021 IEEE.

关键词： Calibration

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GSCCANet: Dual Decoder Network Fusing Edge Focus and Global Channel Attention for Precise Segmentation of Colonic Polyps

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International Journal of Imaging Systems and Technology 2025年第4期35卷

作者： Jun Su Xinyi Chen Orest Kochan Mariana Levkiv Krzysztof Przystupa School of Computer Science Hubei University of Technology Wuhan China Department of Measuring Information Technologies Institute of Computer Technologies Automation and Metrology Lviv Polytechnic National University Lviv Ukraine Department of Dental Therapy Faculty of Dentistry I. Horbachevsky Ternopil National Medical University Ternopil Ukraine Department of Automation Faculty of Mechanical Engineering Lublin University of Technology Lublin Poland

Colorectal cancer is the second most common cancer globally. Its high mortality necessitates early polyp detection to mitigate the risk of the disease. However, conventional segmentation methods are susceptible to noise interference and have a limited accuracy in complex environments. To address these challenges, we propose GSCCANet with an encoder-dual decoder co-design. The encoder employs hybrid Transformer (MiT) for efficient multi-scale global feature extraction. Dual decoders collaborate via SAFM and REF-RA modules to enhance segmentation precision through global semantics and boundary refinement. In particular, SAFM enhances lesion coherence via channel-space attention fusion, while REF-RA strengthens low-contrast edge response using high-frequency gradients and reverse attention, optimized through progressive fusion. Additionally, combined Focal Loss and Weighted IoU Loss mitigate the problem of undetected small polyps. Experiments on five datasets show GSCCANet surpasses baselines. It achieves 94.7% mDice and 90.1% mIoU on CVC-ClinicDB (regular) and 80.1% mDice and 72.5% mIoU on ETIS-LaribPolypDB (challenging). Cross-domain tests (CVC-ClinicDB → $$ \to $$ Kvasir) confirm strong adaptability with 0.2% mDice fluctuation. These results prove that GSCCANet offers high-precision and generalizable solutions through global–local synergy, edge enhancement, and efficient computation.

关键词： colorectal cancer edge attention encoder-decoder network image segmentation mix transformer

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