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Investigating the impacts of spatial-temporal variation features of air density on assessing wind power generation and its fluctuation in China

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science China(Technological sciences) 2023年第6期66卷 1797-1814页

作者： REN GuoRui WANG Wei WAN Jie HONG Feng YANG Ke YU DaRen School of Control and Computer Engineering North China Electric Power UniversityBeijing 102206China School of Electrical Engineering and Automation Harbin Institute of TechnologyHarbin 150001China Xi’an Thermal Power Research Institute Co. Ltd.Xi’an 710054China School of Energy Science and Engineering Harbin Institute of TechnologyHarbin 150001China

Air density plays an important role in assessing wind *** density significantly fluctuates both spatially and *** literature typically used standard air density or local annual average air density to assess wind *** present study investigates the estimation errors of the potential and fluctuation of wind resource caused by neglecting the spatial-temporal variation features of air density in *** air density at 100 m height is accurately calculated by using air temperature,pressure,and *** spatial-temporal variation features of air density are firstly *** the wind power generation is modeled based on a 1.5 MW wind turbine model by using the actual air density,standard air densityρst,and local annual average air densityρsite,***ρstoverestimates the annual wind energy production(AEP)in 93.6%of the study *** significantly affects AEP in central and southern China *** more than 75%of the study area,the winter to summer differences in AEP are underestimated,but the intra-day peak-valley differences and fluctuation rate of wind power are ***ρsitesignificantly reduces the estimation error in *** AEP is still overestimated(0-8.6%)in summer and underestimated(0-11.2%)in *** for southwest China,it is hard to reduce the estimation errors of winter to summer differences in AEP by usingρ***ρsitedistinctly reduces the estimation errors of intra-day peak-valley differences and fluctuation rate of wind power,but these estimation errors cannot be ignored as *** impacts of air density on assessing wind resource are almost independent of the wind turbine types.

关键词： air density spatial-temporal variation power curve wind resource assessment fluctuation ERA-5

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TRNet: Two-Tier Recursion Network for Co-Salient Object Detection

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IEEE Transactions on Circuits and Systems for Video Technology 2025年第6期35卷 5844-5857页

作者： Cong, Runmin Yang, Ning Liu, Hongyu Zhang, Dingwen Huang, Qingming Kwong, Sam Zhang, Wei Shandong University School of Control Science and Engineering Jinan250061 China Ministry of Education Key Laboratory of Machine Intelligence and System Control Jinan250061 China Beijing Jiaotong University Institute of Information Science Beijing100044 China Beijing Key Laboratory of Advanced Information Science and Network Technology Beijing100044 China Northwestern Polytechnical University Brain and Artificial Intelligence Laboratory School of Automation Xi'an710129 China University of Chinese Academy of Sciences School of Computer Science and Technology Beijing101408 China Lingnan University Hong Kong

Co-salient object detection (CoSOD) is to find the salient and recurring objects from a series of relevant images, where modeling inter-image relationships plays a crucial role. Different from the commonly used direct learning structure that inputs all the intra-image features into some well-designed modules to represent the inter-image relationship, we resort to adopting a recursive structure for inter-image modeling, and propose a two-tier recursion network (TRNet) to achieve CoSOD in this paper. The two-tier recursive structure of the proposed TRNet is embodied in two stages of inter-image extraction and distribution. On the one hand, considering the task adaptability and inter-image correlation, we design an inter-image exploration with recursive reinforcement module to learn the local and global inter-image correspondences, guaranteeing the validity and discriminativeness of the information in the step-by-step propagation. On the other hand, we design a dynamic recursion distribution module to fully exploit the role of inter-image correspondences in a recursive structure, adaptively assigning common attributes to each individual image through an improved semi-dynamic convolution. Experimental results on five prevailing CoSOD benchmarks demonstrate that our TRNet outperforms other competitors in terms of various evaluation metrics. The code and results of our method are available at https://***/rmcong/TRNetTCSVT2025. © 1991-2012 IEEE.

关键词： HTTP

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ESNet: Evolution and Succession Network for High-Resolution Salient Object Detection 41

ESNet: Evolution and Succession Network for High-Resolution ...

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41st International Conference on Machine Learning, ICML 2024

作者： Liu, Hongyu Cong, Runmin Li, Hua Xu, Qianqian Huang, Qingming Zhang, Wei Institute of Information Science Beijing Jiaotong University Beijing Key Laboratory of Advanced Information Science and Network Technology Beijing China School of Control Science and Engineering Shandong University Key Laboratory of Machine Intelligence and System Control Ministry of Education Jinan China School of Computer Science and Technology Hainan University Hainan China Key Laboratory of Intelligent Information Processing Institute of Computing Technology CAS Beijing China School of Computer Science and Technology University of Chinese Academy of Sciences Beijing China

Preserving details and avoiding high computational costs are the two main challenges for the High-Resolution Salient Object Detection (HRSOD) task. In this paper, we propose a two-stage HRSOD model from the perspective of evolution and succession, including an evolution stage with Low-resolution Location Model (LrLM) and a succession stage with High-resolution Refinement Model (HrRM). The evolution stage achieves detail-preserving salient objects localization on the low-resolution image through the evolution mechanisms on supervision and feature;the succession stage utilizes the shallow high-resolution features to complement and enhance the features inherited from the first stage in a lightweight manner and generate the final high-resolution saliency prediction. Besides, a new metric named Boundary-Detail-aware Mean Absolute Error (MAEBD) is designed to evaluate the ability to detect details in high-resolution scenes. Extensive experiments on five datasets demonstrate that our network achieves superior performance at real-time speed (49 FPS) compared to state-of-the-art methods. Our code is publicly available at: https://***/rmcong/ESNet_ICML24. Copyright 2024 by the author(s)

关键词： Miocene

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A multi-criteria approach for assessing resilience, sustainability and efficiency measures in manufacturing companies 56

A multi-criteria approach for assessing resilience, sustaina...

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56th CIRP International Conference on Manufacturing Systems, CIRP CMS 2023

作者： Reichsthaler, Luisa Toth, Daniel Szaller, Ádám Sihn, Wilfried Fraunhofer Austria Research GmbH Division of Factory Planning and Production Management Vienna1040 Austria Centre of Excellence in Production Informatics and Control Institute for Computer Science and Control Budapest1111 Hungary TU Wien Institute of Management Science Vienna1040 Austria

In recent years, manufacturing companies have been increasingly confronted with rising demands relating to their production, uncertain conditions in their environment and volatile markets. To fulfil the diversified customers' demands and rapidly changing markets, manufacturing companies need to achieve and maintain high productivity and quality. This requires fast responses, sufficient flexibility and short lead times. Therefore, flexible, resilient and customer-oriented production processes are becoming more and more important. Current optimization measures of industrial environments focus primarily on increasing efficiency while reducing costs. The reliance on other factors, such as a resilient as well as economically, ecologically and socially sustainable manufacturing system, has not been sufficiently taken into account yet. Bridging the gap between research and practice, this paper proposes a holistic approach that assesses resilience, sustainability and efficiency measures of manufacturing companies. A multi-criteria assessment model is developed to stabilize qualitative and quantitative measures within these dimensions. Furthermore, the model is tested in an Austrian small and medium-sized (SME) enterprise in the wood processing industry. The targeted groups are SMEs and multinational companies. © 2023 The Authors. Published by Elsevier B.V. This is an open access article under the CC BY-NC-ND license (https://***/licenses/by-nc-nd/4.0) Peer-review under responsibility of the scientific committee of the 56th CIRP International Conference on Manufacturing Systems 2023.

关键词： assessment model efficiency production optimization resilience sustainability

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Vision Transformers(ViT) Pretraining on 3D ABUS Image and Dual-CapsViT: Enhancing ViT Decoding via Dual-Channel Dynamic Routing

Vision Transformers(ViT) Pretraining on 3D ABUS Image and Du...

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2023 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2023

作者： Xu, Mingwang Wang, Wei Wang, Kuanquan Dong, Suyu Sun, Pengzhong Sun, Jinwei Luo, Gongning Harbin Institute of Technology Faculty of Computing Harbin China Harbin Institute of Technology School of Computer Science and Technology Shenzhen China Northeast Forestry University College of Computer and Control Engineering Harbin China Harbin Institute of Technology School of Instrumentation Science and Engineering Harbin China

ISBN: (纸本)9798350337488

Breast cancer continues to be a pressing global health concern, emphasizing the essential need for effective diagnostic techniques. Automated Breast Ultrasound Systems (ABUS) provide a promising advance in breast tumor detection, yet they require significant expertise in interpreting 3D ABUS images, a task fraught with distinctive challenges. Although Vision Transformers (ViT) display remarkable potential for image processing, their low inductive bias and significant data requirements pose obstacles, particularly in the data-constrained medical field. To mitigate these issues, we introduce a Mask-Recover strategy for pretraining Transformer models on 3D ABUS images, enhancing model adaptability and reducing the data demands of the ViT model. Moreover, recognizing the risk that ViTs' average pooling approach may unintentionally mask small but vital features, we propose Dual-CapsViT, an inventive model combining Transformers and Capsule Networks. This integration affords efficient token routing while preserving fine-grained details. To reconcile potential inconsistencies between capsules and tokens, we engineer a novel dual-channel routing algorithm, strengthening the decoder's performance. We benchmarked our models against well-known standards such as ResNet and ViT for classifying breast tumors in ABUS images. Our models exhibited superior performance, as evidenced by improved accuracy, specificity, and Area Under the Receiver Operating Characteristic Curve (AUC) metrics, thereby affirming Dual-CapsViT's potential to enhance breast cancer diagnostics. © 2023 IEEE.

关键词： abus breast cancer capsule network classification vit

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Curve Trajectory Model for Human Preferred Path Planning of Automated Vehicles

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Automotive Innovation 2024年第1期7卷 59-70页

作者： Gergo Ferenc Igneczi Erno Horvath Roland Toth Krisztian Nyilas Vehicle Research Center Szechenyi Istvan UniversityEgyetem ter 1Gyor 9026Hungary Institute for Computer Science and Control Kende str.13-17.Budapest 1111Hungary Robert Bosch Kft Gyomroi str.104-120Budapest 1103Hungary

Automated driving systems are often used for lane keeping *** these systems,a local path is planned ahead of the ***,these paths are often found unnatural by human *** response to this,this paper proposes a linear driver model,which can calculate node points reflective of human driver preferences and based on these node points a human driver preferred motion path can be designed for autonomous *** model input is the road curvature,effectively harnessed through a self-developed Euler-curve-based curve fitting algorithm.A comprehensive case study is undertaken to empirically validate the efficacy of the proposed model,demonstrating its capacity to emulate the average behavioral pat-terns observed in human curve path *** analyses further underscore the model's robustness,affirming the authenticity of the established *** paradigm shift in trajectory planning holds promising implications for the seamless integration of autonomous driving systems with human driving preferences.

关键词： Naturalistic driving Identification Driver models Path planning

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Estimating the Probability of Falling Share Price Below the Minimum Level 9

Estimating the Probability of Falling Share Price Below the ...

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9th International Conference on control, Decision and Information Technologies, CoDIT 2023

作者： Semakov, Sergei L. Moscow Institute of Physics and Technology Faculty of Control and Applied Mathematics Russia Moscow Automobile and Road Construction Institute Department of Mathematics Russia Federal Research Center 'Computer Science and Control' of the Russian Academy of Sciences Russia

ISBN: (纸本)9798350311402

A technology is proposed for estimating the probability that a share price will fall below the minimum level. The exact expression is obtained for the required probability under the assumption that the behavior of the share price is described by the well-known model of Samuelson, according to which the relative change in price is the sum of the non-random trend and the Wiener process. The obtained result is qualitatively analyzed for various relations of the problem parameters. © 2023 IEEE.

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Calibration of Front Wheel Odometry Model 27th

Calibration of Front Wheel Odometry Model

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27th Symposium of the International Association of Vehicle System Dynamics, IAVSD 2021

作者： Fazekas, Máté Gáspár, Péter Németh, Balázs Systems and Control Laboratory Institute for Computer Science and Control Kende u. 13-17 Budapest1111 Hungary

ISBN: (纸本)9783031073045

Accurate and cost-effective state estimation is needed to reach self-driving. The well-known GNSS and IMU fusion can be improved by the integration of wheel odometry. The robustness of this type of odometry is increased if both the rear and front wheels are utilized. Furthermore, the method is cost-effective, but for accurate motion estimation, the vehicle model parameters have to be calibrated. This paper presents the whole calibration task, such as input estimation, filtering of reference outputs, and parameter identification. The proposed estimation method is a unique version of the Gauss-Newton method, to mitigate the distortion effect of pose initialization. The effectiveness of the proposed calibration process is illustrated through vehicle test experiments. The validation demonstrates that the calibration results in below than 1% relative estimation error, thus the front-odometry can be integrated into the state estimation layer of a self-driving vehicle. © 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG.

关键词： Motion estimation

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Situational Operational Planning in Real-time Systems 16

Situational Operational Planning in Real-time Systems

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16th International Conference Management of Large-Scale System Development, MLSD 2023

作者： Kononov, Dmitry Furugyan, Meran Russian State University for the Humanities Institute of Control Sciences of the Russian Academy of Sciences Moscow Russia Federal Research Center 'Computer Science and Control' of the Russian Academy of Sciences Moscow Russia

ISBN: (纸本)9798350337907

The scheduling problem is considered for the case when requests for the execution of job complexes with known characteristics receive at given times. Interrupts and switching from one executive mechanism to another are allowed. The composition of all complexes and the characteristics of jobs become known only at the time of each request. It is required to determine whether there is an admissible schedule for the total set of jobs and build it in case of a positive answer. We have developed a polynomial algorithm for solving the problem. The algorithm is based on constructing a network flow model and searching for the maximum flow. The problem of constructing an admissible schedule for jobs with non-fixed durations is studied. We have developed a method for preliminary (before the experiment in real-time) calculation of schedules, the computational complexity of which is significantly less than the computational complexity of a complete enumeration of all possible duration vectors. © 2023 IEEE.

关键词： Computational complexity

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Autonomous picking robot for elongated fruits and vegetables 3

Autonomous picking robot for elongated fruits and vegetables

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3rd International Conference on Electrical, Electronics, and Information Engineering, EEIE 2024

作者： Gao, Yang Shuai, Wei Cui, Guowei Wu, Peichen Gan, Lin Chen, Xiaoping Guangdong Institute of Intelligent Manufacturing Guangdong Key Laboratory of Modern Control Technology Guangzhou510070 China Foshan Industrial Technology Research Institute Guangdong Academy of Sciences China School of Computer Science and Technology University of Science and Technology of China Hefei230026 China

ISBN: (纸本)9781510688179

This paper presents the design and implementation of an autonomous picking robot specifically for harvesting elongated fruits such as loofahs and bitter melons. The robot utilizes a tracked chassis to navigate field terrains, equipped with IMU and GNSS modules for navigation and positioning. Mounted on the chassis is a 6-degree-of-freedom robotic arm designed for picking actions, with a combination of a flexible gripper and electric scissors at its end to enhance picking efficiency and safety. Two RGBD cameras are used for global and local perception, while the YOLO model is employed for fruit recognition and localization. Experimental results demonstrate that the robot can complete a full picking cycle in an average of 20 seconds and temporarily store the harvested fruits in an onboard storage bin. Overall, this picking robot significantly reduces labor costs and improves the efficiency and quality of field operations and fruit harvesting. © The Authors.

关键词： Grippers

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