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IEEE International Geoscience and Remote Sensing Symposium

作者： Song Zhou Lei Yang Lifan Zhao Yuhao Wang Chaoqun Zhang School of Information Engineering Nanchang University China Tianjin Key Lab for Advanced Signal Processing Civil Aviation University of China School of Electrical and Electronic Engineering (EEE) Nanyang Technological University (NTU) Singapore

Time-domain algorithms have special advantages for bistatic forward-looking synthetic aperture radar (BFSAR) applications with complex geometric configuration. In this paper, a improved fast time-domain algorithm based on orthogonal elliptical polar (OEP) coordinate is proposed for BFSAR imaging, which has prominently reduced burden in computation. In addition, the non-systematic range cell migration (NsRCM) is also analyzed and corrected in the motion compensation (MOCO) process. Simulation experiments are presented and analyzed to validate the superiority of the proposed algorithm.

关键词： Geometry Time-domain analysis signal processing algorithms Two dimensional displays Synthetic aperture radar Radar polarimetry Radar imaging

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Robot localization method based on adaptive sensor resetting algorithm

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Tien Tzu Hsueh Pao/Acta Electronica Sinica 2007年第11期35卷 2166-2171页

作者： Gao, Qing-Ji Lei, Ya-Li Hu, Dan-Dan Yu, Yong-Sheng Robotics Research Institute Civil Aviation University of China Tianjin 300300 China Northwest Electric Power Design Institute Xi'an 710032 China Tianjin Key Laboratory for Advanced Signal and Image Processing Tianjin 300300 China

An adaptive Sensor Resetting Localization (ASRL) algorithm based on traditional Particle Filter is proposed for mobile robot. The belief of robot is represented by a set of weighted samples, new necessary samples are calculated according to effective samples and resampled based on sensor data, and then old samples are replaced with new samples during ASRL algorithm. This algorithm is used on autonomous mobile robot AMR-ITL equipped with encoder and color camera sensor successfully, experiment result shows that ASRL is a more robust and quickly convergence algorithm.

关键词： Mobile robots

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Active Lighting Recurrence by Parallel Lighting Analogy for Fine-Grained Change Detection

arXiv

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arXiv 2020年

作者： Zhang, Qian Feng, Wei Wan, Liang Tian, Fei-Peng Wang, Xiaowei Tan, Ping School of Computer Science and Technology College of Intelligence and Computing Tianjin University TianJin300350 China State Administration of Cultural Heritage China School of Computer Software College of Intelligence and Computing Tianjin University TianJin300350 China Tianjin Key Lab for Advanced Signal Processing Civil Aviation University of China Dunhuang Research Academy Dunhuang Gansu China School of Computing Science Simon Fraser University Canada

—This paper studies a new problem, namely active lighting recurrence (ALR) that physically relocalizes a light source to reproduce the lighting condition from single reference image for a same scene, which may suffer from fine-grained changes during twice observations. ALR is of great importance for fine-grained visual inspection and change detection, because some phenomena or minute changes can only be clearly observed under particular lighting conditions. Therefore, effective ALR should be able to online navigate a light source toward the target pose, which is challenging due to the complexity and diversity of real-world lighting and imaging processes. To this end, we propose to use the simple parallel lighting as an analogy model and based on Lambertian law to compose an instant navigation ball for this purpose. We theoretically prove the feasibility, i.e., equivalence and convergence, of this ALR approach for realistic near point light source and small near surface light source. Besides, we also theoretically prove the invariance of our ALR approach to the ambiguity of normal and lighting decomposition. The effectiveness and superiority of the proposed approach have been verified by both extensive quantitative experiments and challenging real-world tasks on fine-grained change detection of cultural heritages. We also validate the generality of our approach to non-Lambertian scenes. Copyright © 2020, The Authors. All rights reserved.

关键词： Light sources

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Simulation System of Aircraft Surveillance in Airport Terminal Area

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Journal of Physics: Conference Series 2022年第1期2228卷

作者： Xiaoyun Shen Haosong Zhai Shuo Zhang Peng Cui Tianjin Key Lab for Advanced Signal Processing Civil Aviation University of China Tianjin 300300 China

Because ordinary users cannot quickly obtain the three-dimensional space position of aircraft in the airport terminal area through a two-dimensional display navigation map, the aircraft surveillance simulation system in the airport terminal area based on virtual reality technology is designed. Through analyzing the Automatic Dependent Surveillance-Broadcast (ADS-B) data, the aircraft motion model is established. The three-dimensional aircraft surveillance simulation system for the airport terminal area is realized by Unreal Engine 4 (UE4). Especially, the changes in flight track and flight attitude about aircraft in the three-dimensional scene are designed. The results show that the aircraft movements can be visualized smoothly and correctly based on ADS-B data. It is helpful for users to observe the aircraft of the airport terminal area and analyze the operation status of the plane.

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An Insight Into Neurodegeneration: Harnessing Functional MRI Connectivity in the Diagnosis of Mild Cognitive Impairment

An Insight Into Neurodegeneration: Harnessing Functional MRI...

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17th International Joint Conference on Biomedical Engineering Systems and Technologies, BIOSTEC 2024

作者： Han, Shuning Sun, Zhe Zhao, Kanhao Duan, Feng Caiafa, Cesar F. Zhang, Yu Solé-Casals, Jordi Data and Signal Processing Research Group University of Vic-Central University of Catalonia Catalonia Vic08500 Spain Image Processing Research Group RIKEN Center for Advanced Photonics Riken Saitama Wako-Shi Japan Faculty of Health Data Science Juntendo University Chiba Urayasu Japan Department of Bioengineering Lehigh University BethlehemPA18015 United States Tianjin Key Laboratory of Brain Science and Intelligent Rehabilitation Nankai University Tianjin China Instituto Argentino de Radioastronomía-CCT La Plata CONICET/ CIC-PBA/ UNLP V. Elisa 1894 Argentina Department of Electrical and Computer Engineering Lehigh University BethlehemPA18015 United States Department of Psychiatry University of Cambridge CambridgeCB20SZ United Kingdom

Alzheimer’s disease is a progressive form of memory loss that worsens over time. Detecting it early, when memory issues are mild, is crucial for effective interventions. Recent advancements in computer technology, specifically Graph Convolutional Networks (GCNs), have proven to be powerful tools for analyzing Magnetic Resonance Imaging (MRI) data comprehensively. In this study, we developed a GCN framework for diagnosing mild cognitive impairment (MCI) by examining the functional connectivity (FC) derived from resting-state functional MRI (rfMRI) data. Our research systematically explored various types and processing methods of FC, evaluating their performance on the OASIS-3 dataset. The experimental results revealed several key findings. On the one hand, the proposed GCN exhibited significantly superior performance over both the baseline GCN and the Support Vector Machine (SVM) models, with statistically significant differences. It attained the highest average accuracy of 80.3% and a peak accuracy of 88.2%. On the other hand, the GCN frame work obtained using individual FCs showed overall slightly better performance than the one using global FCs. However, it is important to note that GCNs using global networks with appropriate connectivity can achieve comparable or even better performance than individual networks in certain cases. Finally, our results also indicate that the connectivity within specific brain regions, such as VIS, DMN, SMN, VAN, and FPC, may play a more significant role in GCN-based MRI classification for MCI diagnosis. These findings significantly contribute to the understanding of neurodegenerative disorders and offer valuable insights into the diverse ap plications of GCNs in brain analysis and disease detection. © 2024 by SCITEPRESS– Science and Technology Publications, Lda.

关键词： Neurodegenerative diseases

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A PLAYBACK SYSTEM FOR FLIGHT SURVEILLANCE INFORMATION

A PLAYBACK SYSTEM FOR FLIGHT SURVEILLANCE INFORMATION

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Integrated Communications, Navigation and Surveillance Conference

作者： Jun Yang Wanwei Wang Hui Xu Zhe Zhang Ping Han Tianjin Key Lab for Advanced Signal Processing Civil Aviation University of China Tianjin China Dalian Air Traffic Management Station of Civil Aviation Administration of China Dalian China

The playback of flights' surveillance information plays an import role when flights encounter special circumstances, such as accidents. It can help analyze when, where and why the special circumstances happened intuitively. Different from traditional air traffic control automation system, we propose a playback system based on double-buffers method. A playing buffer and a fetching buffer is created, one is for storing the surveillance information that will be play back and the other one is used for storing the surveillance information fetched from the database. Thus, data fetching and data playback can be done concurrently, to play back the flights' surveillance information continuously. What's more a reliable UDP is proposed to improve the reliability of the data communication of the playback system.

关键词： Surveillance Reliability Relational databases Buffer storage Data processing Process control

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基于MultiGen Creator的机场视景建模

基于MultiGen Creator的机场视景建模

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第七届全国交通运输领域青年学术会议

作者： Liu Xiaoli 刘晓莉 Shen Xiaoyun 沈笑云 CAUC Tianjin Key Lab for Advanced Signal Processing Tianjin 300300 China 中国民航大学天津市智能信号与图像处理重点实验室天津 300300

结合MultiGen Creator软件，分析了机场视景的组织结构，介绍了机场视景的建模流程，并对简化模型的关键技术如纹理映射、LOD、实例化和公告牌等进行了详细论述，通过这些技术的应用提高了视景的逼真度和显示的实时性。

关键词：飞行训练机场视景三维建模技术分析

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Four hours duration acts as the safety threshold for driving fatigue management

Four hours duration acts as the safety threshold for driving...

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IEEE International Conference on Computational Intelligence and Virtual Environments for Measurement Systems and Applications

作者： Ting Li Peishuai Liu Linzhe Jiang Yuan Gao Renbiao Wu Chinese Academy Medical Sciences & Peking Union Medical College Institute of Biomedical Engineering Tian Jin China Chinese Academy Medical Sciences & Peking Union Medical College Institute of Biomedical Engineering Tian Jin University Tian Jin China University of Electronical Science & Technology of China Si Cuan China Tianjin Key Lab for Advanced Signal Processing Civil Aviation University of China Tian Jin China

ISBN: (数字)9798350322996

ISBN: (纸本)9798350323009

Driving fatigue is widely recognized as one of the primary causes of traffic accidents and injuries, particularly during prolonged driving scenarios. It is therefore crucial to investigate the fatigue process during driving in order to establish guidelines and standards for determining optimum driving time. Previous research has shown a correlation between fatigue and visual involuntary attention, which is a critical function for human beings to detect potential hazards and ensure self-protection. In this paper, we propose a visual involuntary brain functional experiment to incorporate visual involuntary attention into driving fatigue assessment, wherein we record various responses such as performance accuracy, reaction times (RT), etc. We also recorded the hemodynamic changes of the prefrontal lobe using fNIRS. A total of eight volunteers participated in a 7-hour simulated driving session, during which the visual involuntary brain functional experiment was conducted every hour for a total of eight times. The results of the study indicate a clear degradation of driving performance over time. The fNIRS results demonstrate that the midline of the prefrontal lobe exhibits the strongest activation, which suggests that participants’ cognitive ability is impacted by fatigue. The channel with the maximum activation demonstrated a strong negative correlation between Δ[HbO 2 ], Δ[tHb], and accuracy/RT, respectively, for the majority of participants. Based on the behavioral results, a fast phase was identified in drivers’ behavior, which began approximately four hours into the driving session and rapidly declined. This observation indicates that the optimal maximum continuous driving time should be less than four hours. The findings on the four-hour threshold for driving may serve as a reference for long-distance drivers seeking to avoid traffic accidents caused by fatigue.

关键词： Visualization Correlation Virtual environments Fatigue Hemodynamics Functional near-infrared spectroscopy Standards

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An Early Stage Researcher's Primer on Systems Medicine Terminology

Network and Systems Medicine

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Network and Systems Medicine 2021年第1期4卷 2-50页

作者： Zanin, Massimiliano Aitya, Nadim A.A. Basilio, José Baumbach, Jan Benis, Arriel Behera, Chandan K. Bucholc, Magda Castiglione, Filippo Chouvarda, Ioanna Comte, Blandine Dao, Tien-Tuan Ding, Xuemei Pujos-Guillot, Estelle Filipovic, Nenad Finn, David P. Glass, David H. Harel, Nissim Iesmantas, Tomas Ivanoska, Ilinka Joshi, Alok Boudjeltia, Karim Zouaoui Kaoui, Badr Kaur, Daman Maguire, Liam P. McClean, Paula L. McCombe, Niamh De Miranda, João Luís Moisescu, Mihnea Alexandru Pappalardo, Francesco Polster, Annikka Prasad, Girijesh Rozman, Damjana Sacala, Ioan Sanchez-Bornot, Jose M. Schmid, Johannes A. Sharp, Trevor Solé-Casals, Jordi Spiwok, Vojtěch Spyrou, George M. Stalidzans, Egils Stres, Blaa Sustersic, Tijana Symeonidis, Ioannis Tieri, Paolo Todd, Stephen Van Steen, Kristel Veneva, Milena Wang, Da-Hui Wang, Haiying Wang, Hui Watterson, Steven Wong-Lin, Kongfatt Yang, Su Zou, Xin Schmidt, Harald H.H.W. Centro de Tecnología Biomédica Universidad Politécnica de Madrid Madrid Spain Intelligent Systems Research Centre School of Computing Engineering and Intelligent Systems Ulster University Ulster United Kingdom Center for Physiology and Pharmacology Institute of Vascular Biology and Thrombosis Research Medical University of Vienna Vienna Austria TUM School of Life Sciences Weihenstephan Technical University of Munich Freising Germany Holon Israel CNR National Research Council IAC Institute for Applied Computing Rome Italy Lab of Computing Medical Informatics and Biomedical Imaging Technologies School of Medicine Aristotle University of Thessaloniki Thessaloniki Greece Université Clermont Auvergne INRAE UNH Plateforme d'Exploration du Métabolisme MetaboHUB Clermont Clermont-Ferrand France Université de Technologie de Compiègne Compiègne France Labex MS2T Control of Technological Systems-of-Systems CNRS and Université de Technologie de Compiègne Compiègne France Faculty of Engineering University of Kragujevac Kragujevac Serbia Kragujevac Serbia Steinbeis Advanced Risk Technologies Institute Doo Kragujevac Kragujevac Serbia Pharmacology and Therapeutics School of Medicine Galway Neuroscience Centre National University of Ireland Galway Ireland School of Computing Ulster University Ulster United Kingdom Holon Israel Department of Mathematics and Natural Sciences Kaunas University of Technology Kaunas Lithuania Faculty of Computer Science and Engineering Ss. Cyril and Methodius University Skopje Macedonia Medicine Faculty Université Libre de Bruxelles CHU de Charleroi Charleroi Belgium Northern Ireland Centre for Stratified Medicine Biomedical Sciences Research Institute Ulster University Ulster United Kingdom Escola Superior de Tecnologia e Gestão Instituto Politécnico de Portalegre Portalegre Portugal Instituto Superior Técnico Universidade de Lisboa Lisboa Portugal Faculty of Automatic Control and Computers University Politehnica of B

Background: Systems Medicine is a novel approach to medicine, that is, an interdisciplinary field that considers the human body as a system, composed of multiple parts and of complex relationships at multiple levels, and further integrated into an environment. Exploring Systems Medicine implies understanding and combining concepts coming from diametral different fields, including medicine, biology, statistics, modeling and simulation, and data science. Such heterogeneity leads to semantic issues, which may slow down implementation and fruitful interaction between these highly diverse fields. Methods: In this review, we collect and explain more than100 terms related to Systems Medicine. These include both modeling and data science terms and basic systems medicine terms, along with some synthetic definitions, examples of applications, and lists of relevant references. Results: This glossary aims at being a first aid kit for the Systems Medicine researcher facing an unfamiliar term, where he/she can get a first understanding of them, and, more importantly, examples and references for digging into the topic. © Massimiliano Zanin et al., 2021;Published by Mary Ann Liebert, Inc. 2021.

关键词： Semantics

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