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15th International Conference on Digital Image Processing, ICDIP 2023

作者： Zhang, Feng Liu, Guifu Yuan, Shuai Kong, Xiangjie Geng, Jinyu School of Electrical and Control Engineering Shenyang Jianzhu University China School of Computer Science and Engineering Shenyang Jianzhu University China

ISBN: (纸本)9798400708237

The tracker based on Siamese network usually adopts the cross-correlation of convolutional features between the object branch and the search branch to describe the visual object tracking task as a similarity matching. However, most trackers apply backbone networks to represent multi-scale features in a hierarchical manner, which has limitations in distinguishing similar object. In addition, the feature information on each channel and spatial region is treated equally in the calculation process. In fact, the feature importance of these locations is not the same, and the anchor box detection mechanism requires setting a large number of anchor boxes with redundant hyperparameters, which can lead to computational and memory overload. As for these problems, this paper proposes an object tracking algorithm using siamese attention mechanism based key point network, called SAMR (Siamese Attention Mechanism Reppoints). First of all, the backbone network res2net is used to represent fine-grained multi-scale features on a hierarchical basis for increasing the receptive field of each layer. Then the channel and spatial attention information of the attention mechanism is to enhance the discriminant ability and positioning ability of the feature map. Finally, a set of key points anchor-free frames is adopted to detect and track the object. Experiments on challenging datasets such as VOT2018, VOT2019, and OTB100 illustrate that the SAMR proposed in this paper is superior to other advanced trackers in tracking accuracy. © 2023 ACM.

关键词： Object detection

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PSRMER: Proactive Services Recommendation Driven-by Multimodal Emotion Recognition

PSRMER: Proactive Services Recommendation Driven-by Multimod...

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2023 IEEE International Conference on Web Services, ICWS 2023

作者： Liu, Zhizhong Huang, Guangyu Chu, Dianhui Sun, Yuhang Yantai University School of Computer and Control Engineering Yantai China Harbin Institute of Technology School of Computer Science and Technology Weihai China

ISBN: (纸本)9798350304855

In the past three years, global COVID-19 pandemic not only impacted people's physical health but also significantly affected their mental health, which resulting in rapid increase of psychological problems. Emotions are a common manifestation of psychological changes, and some services (such as music, video, or psychological counseling services) can help users to adjust their emotions in a timely manner, thus to avoid bringing extreme events (e.g., running away from home or committing suicide). Therefore, how to perceive users' real-time emotions and then recommend the most appropriate services to users has become a challenge. To address this issue, this work proposes an approach for proactive services recommendation driven-by multimodal emotion recognition (named as PSRMER). Specifically, PSRMER first actively identifies a user's emotion with a multimodal emotion recognition model based on BiGRU and Transformer;Then, considering the user's emotion and preferences, PSRMER selects the optimal services based on an index-graph linking different emotions and various services;Finally, PSRMER proactively recommends the selected optimal service to the user. Extensive experiments have been conducted and the effectiveness of our proposed method have been proved. Moreover, the proposed method can also be used in smart education, smart transportation, smart elderly care and other modern industry fields. © 2023 IEEE.

关键词： COVID-19

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Accurate Modeling of CHP Plant by Digital Twin and Transformer Neural Network 3

Accurate Modeling of CHP Plant by Digital Twin and Transform...

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3rd IEEE International Conference on Digital Twins and Parallel Intelligence, DTPI 2023

作者： Hou, Guolian Zhang, Tianhao Guo, Zhiqiang Huang, Ting Li, Qingwei North China Electric Power University School of Control and Computer Engineering Beijing China

ISBN: (纸本)9798350318470

This paper proposes an accurate modeling method for CHP plant by combining the digital twin(DT) and Transformer. Firstly, the actual operating data of the CHP plant is real-time affined to the simulation platform through DT. As Transformer has the advantages of strong robustness, parallel computing and wide applicability. It is used to establish the accurate model of supercritical CHP plant The innovation of this modeling method lies in the successfully combination of DT and Transformer, which has important reference value for promoting the flexible operation capacity of CHP plant. Finally, the effectiveness of the proposed model method is confirmed through the simulations on a 350 MW CHP plant. © 2023 IEEE.

关键词： Simulation platform

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Unmanned Aerial Vehicle for Sparse Sampling in Wireless Sensor Networks 9

Unmanned Aerial Vehicle for Sparse Sampling in Wireless Sens...

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9th International Conference on Electrical engineering, control and Robotics, EECR 2023

作者： Lv, Cuicui Wang, Peijin Ma, Guoxin Chi, Haokun Du, Zhenbin Li, Xiangming YanTai University School of Computer and Control Engineering YanTai China YanTai University School of Environment and Materials Engineering YanTai China

ISBN: (纸本)9781665491204

In Wireless Sensor Networks, sensory data among adjacent sensor nodes have strong spatial correlation. If all sensor nodes collect and transmit data, energy consumption is very large and the network life is shortened. To address this issue, we put forward an Unmanned Aerial Vehicle (UAV)-assisted sparse sampling algorithm. In this algorithm, Compressive Sensing is applied for sparse sampling, and the UAV is utilized as a mobile relay to collect the sensory data of partial nodes. To reduce energy consumption for data transmission, we combine greedy algorithm with the rules of genetic algorithms to plan the route of the UAV. The numerical results given by the simulations indicate that the proposed algorithm has less energy consumption than other baseline algorithms, and can better recover a great number of raw data by the fewer measurements. © 2023 IEEE.

关键词： Compressed sensing

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Online Learning-Based Offloading Decision and Resource Allocation in Mobile Edge Computing-Enabled Satellite-Terrestrial Networks

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China Communications 2024年第3期21卷 230-246页

作者： Tong Minglei Li Song Han Wanjiang Wang Xiaoxiang School of Information and Communication Engineering Beijing University of Posts and TelecommunicationsBeijing 100876China Key Laboratory of Universal Wireless Communications Ministry of EducationBeijing University of Posts and TelecommunicationsBeijing 100876China School of Information and Control Engineering China University of Mining and TechnologyXuzhou 221116China School of Computer Science(National Pilot Software Engineering School) Beijing University of Posts and TelecommunicationsBeijing 100876China

Mobile edge computing(MEC)-enabled satellite-terrestrial networks(STNs)can provide Internet of Things(IoT)devices with global computing ***,the network state information is uncertain or *** deal with this situation,we investigate online learning-based offloading decision and resource allocation in MEC-enabled STNs in this *** problem of minimizing the average sum task completion delay of all IoT devices over all time periods is *** decompose this optimization problem into a task offloading decision problem and a computing resource allocation problem.A joint optimization scheme of offloading decision and resource allocation is then proposed,which consists of a task offloading decision algorithm based on the devices cooperation aided upper confidence bound(UCB)algorithm and a computing resource allocation algorithm based on the Lagrange multiplier *** results validate that the proposed scheme performs better than other baseline schemes.

关键词： computing resource allocation mobile edge computing satellite-terrestrial networks task offloading decision

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MSCR-HRNetV2: High-Resolution Remote Sensing Image Segmentation for Railway Scenes

MSCR-HRNetV2: High-Resolution Remote Sensing Image Segmentat...

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2023 China Automation Congress, CAC 2023

作者： Li, Longkai Yang, Qi Shi, Ruifeng Teng, Jing School of Control and Computer Engineering North China Electric Power University Beijing China

ISBN: (纸本)9798350303759

Remote sensing image semantic segmentation not only enables the acquisition of valuable category information regarding surface objects but also provides crucial spatial information. This foundational data, with its high research value, plays a pivotal role in advancing the understanding and utilization of spatial environmental resources. To construct a suitable space for railway transportation and improve the channel information mismatch problem in the multi-scale fusion unit of HRNetV2, in terms of data, a high-resolution remote sensing image dataset of two railway sections of Kaha Railway and Ganquan Railway was collected, and annotated, including 210 original remote sensing images with a resolution of 4800 × 2986, a viewing altitude of 2km, and a spatial resolution of 0.24m. In terms of methods, an embedded self-attention mechanism module was introduced and a multi-scale consistency regularization (MSCR) method was introduced to propose MSCR-HRNetV2, achieving pixel-level semantic segmentation representation of high-resolution remote sensing images. The experimental results show that the MIoU results of MSCR-HRNetV2 on the self-built railway dataset and the public Potsdam remote sensing image dataset reached 0.8137 and 0.7596 respectively, which were 0.0313 and 0.0201 higher than the original HRNetV2. Compared with other typical remote sensing image semantic segmentation methods such as Deeplabv3+, the segmentation accuracy has also been improved by 0.0386 and 0.0219. The high-resolution remote sensing image dataset constructed in this study provides an important data source for studying the segmentation problem of high-resolution remote sensing images around railways. The proposed MSCR-HRNetV2 benchmark method lays the foundation for the full development and utilization of railway transportation space resources. © 2023 IEEE.

关键词： Image enhancement

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Classical Gain Scheduling PID and Fuzzy Gain Scheduled Set-Point Weighted PID controller Performance Comparison in Isothermal CSTR 11

Classical Gain Scheduling PID and Fuzzy Gain Scheduled Set-P...

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11th Joint International Information Technology and Artificial Intelligence Conference, ITAIC 2023

作者： Elfadel Haroon, Husam E. School of Control and Computer Engineering North China Electric Power University Beijing China

ISBN: (纸本)9798350333664

management of the Continuous Stirred Tank Reactor (CSTR) operation has proven to be a difficult undertaking due to the complex and ever-changing nature of its behavior, which is both nonlinear and dynamic, which is further compounded by its instability. Attempts have been made to use Proportional-Integral-Derivative (PID) controllers for such processes, but the performance is often poor due to the inherent limitations of the controllers. In contrast, heuristic algorithms have been employed to tune the controllers, but these methods can only provide optimal performance for a restricted range of parameter variations. This paper presents a novel approach that uses a conventional gain scheduling PID controller combined with a fuzzy gain scheduling (FGS) controller method to calibrate set-point weighted PID controllers for the CSTR process. The paper outlines the design of the controllers and evaluates their performance by subjecting them to varying input signals within the given bandwidth. © 2023 IEEE.

关键词： Continuous Stirred Tank Reactor fuzzy gain scheduling Proportional-Integral-Derivative

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Research of STF-CKF-SLAM algorithm using Variational Bayes 23

Research of STF-CKF-SLAM algorithm using Variational Bayes

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6th International Conference on Electronics, Communications and control engineering, ICECC 2023

作者： Yuan, Shuai Bai, Yueyan Wu, Jian Li, Aichun Guo, Pengcheng School of Computer Science and Engineering Shenyang Jianzhu University China School of Electrical and Control Engineering Shenyang Jianzhu University China

ISBN: (纸本)9798400700002

Aiming at the problem of poor robustness of the driving model and divergence of the filtering process due to time-varying or abrupt-varying noise of the driving model during simultaneous localization and mapping of mobile robots, this paper proposes a strong tracking cubature kalman based SLAM algorithm using Variational Bayes, which uses the variational bayes algorithm to iteratively estimate the prediction covariance of the cubature kalman filter. Then the strong tracking cubature kalman algorithm is used to filter and fuse the observation data and the driving model, and the optimized pose data is obtained to further construct a more accurate feature map. Finally, the effectiveness of the algorithm is illustrated by simulation and practical experiments using a mobile robot equipped with lidar sensors. The simulation results represent that the simultaneous localization and mapping errors of this algorithm are reduced by 58.43% compared with the traditional CKF algorithm. The experimental results in real environment show that the average error of acquiring environmental features is reduced by 44.46%, which further verifies the feasibility and effectiveness of the proposed algorithm. This algorithm provides a new idea for simultaneous localization and mapping of mobile robots. © 2023 ACM.

关键词： Mobile robots

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A P2P Based Energy Trading Approach 5th

A P2P Based Energy Trading Approach

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5th Chinese Conference on Swarm Intelligence and Cooperative control, CCSICC 2021

作者： Lv, Fangchao Yu, Mei School of Control and Computer Engineering North China Electric Power University Beijing China

ISBN: (纸本)9789811939976

This paper proposes a peer-to-peer (P2P) based energy trading approach to enhance the profit of each prosumer. The proposed approach uses future information of the electricity market to manage the prosumer energy trading strategies. A generally optimal strategy of the prosumers is given to deal with multiple situations in energy trading. Through a P2P mechanism, the expected trading objective determined by the optimal strategy is achieved. Simulations are conducted to validate the effectiveness of the proposed approach. © 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： Power markets

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Design and research of high-order mode generation based on asymmetric dual-core optical fiber 14

Design and research of high-order mode generation based on a...

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Optical Design and Testing XIV 2024

作者： Wang, Teng Cao, Suxuan Peng, Yue Zhang, Hua Zuo, Jiancun School of Computer and Information Engineering Shanghai Polytechnic University Shanghai201209 China School of Intelligent Manufacturing and Control Engineering Shanghai Polytechnic University Shanghai201209 China

ISBN: (纸本)9781510682023

We design and demonstrate a high-order mode (HOM) convertor based on asymmetric dual-core fiber (ADCF) with high coupling efficiency, wide bandwidth and high stability. The two ends of the ADCF are fused with single-mode fiber and few-mode fiber respectively. A periodic power transfer in the ADCF, thereby achieving direct mode conversion from the fundamental mode to HOMs (LP11, LP21, LP02). Taking the ADCF with a small core diameter of 8 µm as an example, the operating bandwidth (coupling efficiency in excess of 95% (LP11) and 90% (LP21, LP02)) is 202 nm, 54 nm, and 60 nm, respectively. © 2024 SPIE.

关键词： Optical fibers Design Single mode fibers engineering Optical simulations

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