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IEEE International Conference on Computational Electromagnetics (ICCEM)

作者： Yanyan Wang Kangkang Gao Jiangnan Xing Tao Jiang Science and Technology on Complex System Control and Intelligent Agent Cooperation Laboratory Beijing China College of Information and Communication Engineering Harbin Engineering University Harbin China

ISBN: (数字)9781728134482

ISBN: (纸本)9781728134499

There is a certain amount of RF facilities on the low-altitude aircrafts that could cause electromagnetic interference within the platform, the electromagnetic interference between platforms is the key to influence the electromagnetic compatibility of aircraft platform. Specific systems have been developed to provide collision avoidance and early warning schemes for potential physical collisions between aircraft. With the increase in the number of ground and air vehicles and the radiation power of radio frequency equipment, the marine electromagnetic environment is deteriorating day by day. There is no effective solution to the electromagnetic "collision" among aircrafts that caused by electromagnetic interference, which is needed to be solved. This paper draws lessons from the idea that physical collision between aircrafts can be predicted and analyzed by using space trajectory model and avoided collision, then proposed aircraft navigation trajectory equation, the forecast analysis of the location of the vehicle at any time, heading, speed and acceleration information, using airborne electromagnetic emission equipment antenna model, calculated the sea low-flying aircraft airborne radio system of electromagnetic radiation, the use of the electronic equipment receiving antenna gain and receiver sensitivity, combined with the value of standard, the interference matrix which can describe the degree of electromagnetic radiation hazard between single machine and multiple machine is established. In this paper, the theoretical model of aircraft trajectory dynamics is seamlessly transformed into the electromagnetic collision field of low-altitude aircraft. Based on the dynamic evaluation method of electromagnetic interference level, the risk analysis of electromagnetic collision probability of aircraft is carried out, which can provide powerful technical support for solving electromagnetic interference problem of aircraft, which has important reference value for design, tes

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Time consistency technique of multi-aircrafts simulation system for cooperative mission 14

Time consistency technique of multi-aircrafts simulation sys...

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14th IEEE Conference on Industrial Electronics and Applications, ICIEA 2019

作者： Han, Jian Shi, Hang Tong, JiaHui Zhang, Qing Li, Jing Beijing Electro-Mechanical Engineering Institute Beijing100074 China Science and Technology on Complex System Control and Intelligent Agent Cooperation Laboratory Beijing100074 China

ISBN: (纸本)9781538694909

Aiming at the problem of time inconsistency problem exposed in multi-aircrafts simulation system during executing cooperative mission, a control solution of time consistency has been proposed to realize the unity of time information. On the basis of thoroughly analyzing the components and features of system, the factors that affect time synchronization are summarized and classified. After embedding a hardware of time synchronization system, a control solution is devised to maintain time consistency. Time synchronization and delay compensation are achieved from two aspects of hardware and software, which provides technical support for the following development and verification of cooperative control technology based on multiaircrafts simulation system. © 2019 IEEE.

关键词： Verification

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Society 5.0: Metaverse Facilitated Human-centric “5H” Services Across Cyber-Physical-Social Spaces

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IFAC-PapersOnLine 2024年第3期58卷 159-164页

作者： Xiao Wang Jun Huang QingHua Ni Zhe Wan HuaDan Xue Larry Stapleton Fei-Yue Wang Engineering Research Center of Autonomous Unmanned System Technology Ministry of Education Anhui University Hefei 230601 China Macau University of Science and Technology Macau 999078 China Beijing Normal University Beijing 100875 China Department of Radiology Peking Union Medical College Hospital Shuaifuyuan Beijing 100730 Dongcheng District China Brownsbarn Thomastown Co. Kilkenny Ireland R95D8P2 Qingdao Academy of Intelligent Industries Qingdao 266109 China State Key Laboratory for Management and Control of Complex Systems Institute of Automation Chinese Academy of Sciences Beijing 100190 China

Cyber-Physical-Social systems bridge the gap between social resource organization and distribution, and give birth to Society 5.0, which represents a transformative vision aimed at realizing the human-centric paradigm for more efficient and effective sustainable development. In this paper, we discuss the decentralized paradigm in fostering human needs-driven smart services, in line with Maslow’s hierarchy of needs theory. Societies 5.0 is committed to optimizing the use of natural, artificial, and social resources by enhancing democratic participation and ensuring that decision-making processes are more transparent, reliable, and aligned with the needs of the populace in sustainable ways. Moreover, our discussion extends to how Society 5.0’s principles correlate with the United Nations Sustainable Development Goals (SDGs), providing a framework that supports health, education, and poverty reduction, among other targets. This approach also aligns with the Human Development Index (HDI), reinforcing the notion that technological progress in Society 5.0 does not overshadow but rather complements and enhances human values, paving a synergistic path towards sustainable development that is both advanced and fundamentally human-centric.

关键词： Cyber-Physical-Social systems Society 5.0 Human-Centric Services Socio-technical synergistic sustainable development

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Simulation of Fast Cascading Failures Considering Voltage Ride Through Capability of Renewable Generation

Simulation of Fast Cascading Failures Considering Voltage Ri...

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IEEE Conference on Energy Internet and Energy system Integration (EI2)

作者： Dongbao Lv Shanshan Qiu Yujun Zhou Changgang Li Junjun Yang Wei Xu Xing Lei Changhui Ma Key Laboratory of Power System Intelligent Dispatch and Control of Ministry of Education Shandong University Jinan China NARI Group Corporation State Grid Electric Power Research Institute Nanjing China State Grid Shanghai Municipal Electric Power Company Shanghai China Shandong Smart Grid Technology Innovation Center State Grid Shandong Electric Power Company Electric Power Science Research Institute Jinan China

ISBN: (数字)9798331523527

ISBN: (纸本)9798331523534

With the rapid development of renewable generation, the evolution process of fast cascading failures in the power system with a high proportion of renewable generation turns out to be more complicated. There are few existing fast cascading failure models that take into account the voltage ride through (VRT) capability of renewable generation. The portrayal of the dynamic characteristics of renewable generation still needs to be improved. In response to this, the VRT control model and VRT protection model have been established to comprehensively depict the output characteristics and disturbance tolerance capability of renewable generation in fast cascading failures. Finally, the simulation results of the AC-DC hybrid receiving-end system with a high proportion of renewable generation show that the established models can effectively depict the influence of VRT capability of renewable generation in fast cascading failures, providing a more comprehensive basis for the analysis of fast cascading failures under the access of a high proportion of renewable generation.

关键词： Renewable energy sources Voltage fluctuations Simulation Power system protection Power system dynamics system integration Delays Power system faults Voltage control Transient analysis

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Zero-shot Learning Based on Semantic Embedding for Ship Detection

Zero-shot Learning Based on Semantic Embedding for Ship Dete...

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IEEE International Conference on Unmanned systems (ICUS)

作者： Zihan Zhang Jiajia Zhoa Xinkai Liang School of Electronics and Information Northwestern Polytechnical University Xi’an Shaanxi China Science and Technology on Complex System Control and Intelligent Agent Cooperation Laboratory Bejing China

ISBN: (数字)9781728180250

ISBN: (纸本)9781728180267

Zero-shot detection (ZSD) is a hot topic, which can detect unseen object without training on it. This new approach rises several challenges, e.g., the imbalance between positive and negative data, ambiguity between background and unseen classes, and how to align visual feature and semantic concept. In this paper, we apply an end-to-end zero-shot network to fulfil ZSD, where polarity loss is utilized to train detection model. polarity loss puts more importance on difficult data to reduce class imbalance and can maximize the difference between positive and negative predictions. Then, we use a semantic embedding method that use word vectors in both classification and regression subnets to better align visual features and semantic features. Finally, we use MS-COCO dataset as seen classes to train detection model, then we transfer the model for our own to detect warship object. Our model performs good on unseen classes and test accuracy of using polarity loss is apparently higher than that of using focal loss.

关键词： Semantics Visualization Vocabulary Training Feature extraction Object detection Measurement

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Task-irrelevant Auditory Event-related Potentials as Mental Workload Indicators: A Between-task Comparison Study*

Task-irrelevant Auditory Event-related Potentials as Mental ...

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Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)

作者： Jinzhao Xu Yufeng Ke Shuang Liu Xizi Song Cheng Xu Guchuan Zhou Dong Ming Academy of Medical Engineering and Translational Medicine Tianjin University Tianjin China Science and Technology on Complex System Control and Intelligent Agent Cooperative Laboratory Beijing China

ISBN: (数字)9781728119908

ISBN: (纸本)9781728119915

Real-time monitoring of mental workload (MWL) is a crucial step to build closed-loop adaptive aiding systems for human-machine systems. MWL estimators based on spontaneous electroencephalography (EEG) and event-related potentials (ERPs) have shown great potentials to achieve this goal. However, the previous studies show that the between-task robustness of these EEG/ERP-based MWL estimators is still an unsolved intractable question. This study attempts to examine the task-irrelevant auditory event-related potentials (tir-aERPs) as MWL indicators. A working memory task (verbal n-back) and a visuo-motor task (multi-attribute task battery, MATB), both with two difficulty levels (easy and hard), were used in the experiment, along with task-irrelevant auditory probes that did not need any response from the participants. EEG was recorded from ten participants when they were performing the tasks. The tir-aERPs elicited by the auditory probes were extracted and analyzed. The results show that the amplitudes of N1, early P3a (eP3a) and the late reorienting negativity (RON) significantly decreased with the increasing MWL in both n-back and MATB. Task type has no obvious influence on the amplitudes and topological layout of the MWL-sensitive tir-aERPs features. These results suggest that the tir-aERPs are potentially more constant MWL indicators across very different task types. Therefore, the tir-aERPs should be taken into consideration in future task-independent MWL monitoring studies.

关键词： Task analysis Electroencephalography Monitoring Electric potential Probes Resource management Feature extraction

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Prediction of exosomal piRNAs based on deep learning for sequence embedding with attention mechanism

Prediction of exosomal piRNAs based on deep learning for seq...

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IEEE International Conference on Bioinformatics and Biomedicine (BIBM)

作者： Yajun Liu Yulian Ding Aimin Li Rong Fei Xie Guo Fangxiang Wu Shaanxi Key Laboratory for Network Computing and Security Technology Xi'an University of Technology Xi'an China Division of Biomedical Engineering University of Saskatchewan Saskatoon Canada Shaanxi Key Laboratory of Complex System Control and Intelligent Information Processing Xi'an University of Technology Xi'an China Department of Computer Science Department of Mechanical Engineering Division of Biomedical Engineering University of Saskatchewan Saskatoon Canada

ISBN: (数字)9781665468190

ISBN: (纸本)9781665468206

PIWI-interacting RNAs (piRNAs) are a type of small non-coding RNAs which bind with the PIWI proteins to exert biological effects in various regulatory mechanisms. A growing amount of evidence reveals that exosomal piRNAs are potential biomarkers for diagnosis and treatment of complex diseases. Effective methods for the prediction of exosomal piRNAs are the foundation of piRNA functional research. In this study, we propose an end-to-end deep network for identifying exosomal piRNAs based on features learned from natural language processing (NLP) models for sequence embedding with attention mechanism. First, a benchmark dataset is constructed by processing piRNA subcellular localization annotated data and sequence data. Moreover, bagging positive unlabeled learning is applied to get the reliable negative set. Finally, we treat a piRNA sequence as a sentence and its k-mer subsequence as a token. Sequence embedding models with self-attention mechanism is designed to extract features from exosome piRNA sequences, which are used for the prediction task. Compared with three competing methods, our model achieves the best performance and reveals the key factors of exosomal piRNA sequences by the attention mechanism. Our model characterizes exosomal piRNAs and could be beneficial for researchers to investigate exosomal piRNAs’ functions.

关键词： Proteins Location awareness RNA Biological system modeling Predictive models Feature extraction Natural language processing

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S4TP: Social-Suitable and Safety-Sensitive Trajectory Planning for Autonomous Vehicles

arXiv

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arXiv 2024年

作者： Wang, Xiao Tang, Ke Dai, Xingyuan Xu, Jintao Du, Quancheng Ai, Rui Wang, Yuxiao Gu, Weihao Engineering Research Center of Autonomous Unmanned System Technology Ministry of Education Anhui University Hefei230031 China Haomo Technology Co. Ltd. Beijing100192 China The State Key Laboratory for Management and Control of Complex Systems Institute of Automation Chinese Academy of Sciences Beijing100190 China Qingdao Academy of Intelligent Industries Qingdao266114 China The School of Computer and Communication Engineering University of Science and Technology Beijing Beijing100083 China The School of Artificial Intelligence University of Chinese Academy of Sciences Beijing100049 China

In public roads, autonomous vehicles (AVs) face the challenge of frequent interactions with human-driven vehicles (HDVs), which render uncertain driving behavior due to varying social characteristics among humans. To effectively assess the risks prevailing in the vicinity of AVs in social interactive traffic scenarios and achieve safe autonomous driving, this article proposes a social-suitable and safety-sensitive trajectory planning (S4TP) framework. Specifically, S4TP integrates the Social-Aware Trajectory Prediction (SATP) and Social-Aware Driving Risk Field (SADRF) modules. SATP utilizes Transformers to effectively encode the driving scene and incorporates an AV’s planned trajectory during the prediction decoding process. SADRF assesses the expected surrounding risk degrees during AVs-HDVs interactions, each with different social characteristics, visualized as two-dimensional heat maps centered on the AV. SADRF models the driving intentions of the surrounding HDVs and predicts trajectories based on the representation of vehicular interactions. S4TP employs an optimization-based approach for motion planning, utilizing the predicted HDVs’ trajectories as input. With the integration of SADRF, S4TP executes real-time online optimization of the planned trajectory of AV within low-risk regions, thus improving the safety and the interpretability of the planned trajectory. We have conducted comprehensive tests of the proposed method using the SMARTS simulator. Experimental results in complex social scenarios, such as unprotected left-turn intersections, merging, cruising, and overtaking, validate the superiority of our proposed S4TP in terms of safety and rationality. S4TP achieves a pass rate of 100% across all scenarios, surpassing the current state-of-the-art methods Fanta of 98.25% and Predictive-Decision of 94.75%. Copyright © 2024, The Authors. All rights reserved.

关键词： Autonomous vehicles

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Suppression of Actuator Nonlinearities Based on the Cascade Active Disturbance Rejection Approach

Suppression of Actuator Nonlinearities Based on the Cascade ...

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2019 IEEE International Conference on Unmanned systems, ICUS 2019

作者： Mingjun, Wei Cheng, Xu Wanhai, Hu Hua, Ji Feng, Gao Beijing Electro-Mechanical Engineering Institute Science and Technology on Complex System Control and Intelligent Agent Cooperation Laboratory Beijing China Aviation Institute of Technology of CASIC Beijing China

ISBN: (纸本)9781728137926

In this paper, influences of actuator nonlinearities and their suppression methods are studied. Firstly, the influences of the dead zone and backlash characteristics of the actuator on the control performance of statically unstable missiles are analyzed in detail. Then based on the cascade control method and the active disturbance rejection control (ADRC) theory, a nonlinear "double-layer compensation" suppression method for the actuator nonlinearities is proposed. Finally, the simulation verification is carried out. Simulation results show that the "double-layer compensation" suppression method based on the cascade ADRC approach can significantly suppress the adverse effects such as system self-sustaining oscillation caused by actuator nonlinearities, and effectively improve the control performance of the statically unstable missile. © 2019 IEEE.

关键词： Disturbance rejection

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Generating infrared image from visible image using Generative Adversarial Networks

Generating infrared image from visible image using Generativ...

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2019 IEEE International Conference on Unmanned systems, ICUS 2019

作者： An, Lei Zhao, Jiajia Di, Huijun Beijing Institute of Technology School of Computer Science and Technology Beijing China Beijing Electro-Mechanical Engineering Institute Science and Technology on Complex System Control and Intelligent Agent Coorperation Laboratory Beijing China

ISBN: (纸本)9781728137926

Infrared images have properties that are unaffected by illumination compared to visible images, object can be clearly recognized at day or night. Therefore, it is a better choice to use infrared images when training deep learning algorithms in unmanned systems. However, how to obtain a large number of infrared images makes it possible to train deep learning algorithm, which is the focus of our attention. In contrast to difficulties in direct shooting, computer simulations can generate large infrared images from visible images. But models that are trained on simulated data usually do not translate well to real scenarios. To bridge the domain gap between simulated and real infrared images, we exploit recent advances in paired image-to-image translation. We extend Pixel2Pixel to generate infrared image from visible image and propose a novel way of multilayer semantic information fusion, which significantly improves the quality of generated images. Finally, the image generated by our proposed PixelPro network is almost consistent with the real image distribution, achieved the purpose of expanding the dataset. © 2019 IEEE.

关键词： Generative adversarial networks

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