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Genetic-A* Algorithm-Based Routing for Continuous-Flow Microfluidic Biochip in Intelligent Digital Healthcare 18th

Genetic-A* Algorithm-Based Routing for Continuous-Flow Micr...

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18th International Conference on Green, Pervasive, and Cloud Computing, GPC 2023

作者： Huang, Huichang Yang, Zhongliao Zhong, Jiayuan Xu, Li Dong, Chen Bao, Ruishen College of Computer and Data Science Fuzhou University Fuzhou350116 China College of Computer and Cyber Security Fujian Normal University Fuzhou350007 China Fujian Key Laboratory of Network Computing and Intelligent Information Processing Fuzhou University Fuzhou China

ISBN: (纸本)9789819998951

In the field of intelligent digital healthcare, Continuous-flow microfluidic biochip (CFMB) has become a research direction of widespread concern. CFMB integrates a large number of microvalves and large-scale microchannel networks into a single chip, enabling efficient execution of various biochemical protocols. However, as the scale of the chip increases, the routing task for CFMB becomes increasingly complex, and traditional manual routing is no longer sufficient to meet the requirements. Therefore, this paper proposes an automatic routing framework for CFMB based on Genetic algorithm (GA) and A* algorithms. Specifically, we adopt a two-stage A* algorithm to design the routing between modules, using the routing results obtained from the A* algorithm as the basis for evaluating the quality of solutions in the GA algorithm. Then, the GA algorithm is used to search for the optimal approximate solution in the solution space. Experimental results show that this method can reduce routing length and minimize routing crossings, thereby improving the parallel transmission speed of reagents on CFMB. This approach provides a feasible solution for large-scale automated routing of CFMB in the field of intelligent digital healthcare. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd 2024.

关键词： Genetic algorithms

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Development of a computer Vision System for an Optical Sorting Robot 9th

Development of a Computer Vision System for an Optical Sorti...

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9th International Conference on Interactive Collaborative Robotics, ICR 2024

作者： Didmanidze, Otari Karelina, Maria Filatov, Vladimir Rybakov, Dmitriy Andriyanov, Nikita Korchagin, Sergey Kafiyatullina, Yuliya Serdechnyy, Denis State University of Management 99 Ryazansky Av. Moscow109542 Russia

ISBN: (纸本)9783031713590

The use of sorting robots at some stages of agricultural production seems quite promising. In addition to the high-tech design, the most important element of such robots may be a pattern recognition system, which in turn, in addition to optical devices, includes an intelligent decision support system. This paper presents the development of a computer vision system for recognizing suitable samples of grain crops for an optical sorting robot. The aim of the work is to create a reliable and efficient algorithm that can accurately determine the presence and characteristics of damage in images of wheat, oats and peas. Modern machine learning methods, such as convolutional neural networks, were implemented to train the recognition model. The development process included collecting and preparing training data, selecting and setting up the neural network architecture, as well as testing and optimizing the algorithm. A comparison of computer vision libraries YOLO, FASTER R-CNN, VISSL, OpenCV was carried out. The resulting system demonstrated high accuracy in recognizing defects and morphological features of seeds in test images, with an accuracy of up to 87%. The developed system can be used in optical sorting robots and various mechatronic applications related to automation of agricultural processes, product quality analysis, robotic phenotyping devices, as well as in seed quality control systems and in intelligent control systems for agricultural production processes in crop production. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2024.

关键词： Convolutional neural networks

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HaWANet: Road Scene Understanding with Multi-modal Sensor Data Using Height-Width-Driven Attention Network 23rd

HaWANet: Road Scene Understanding with Multi-modal Sensor D...

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23rd International Conference of the Italian Association for Artificial Intelligence, AIxIA 2024

作者： Chatterjee, Soumick Xu, Jiahua Kuzhipathalil, Adarsh Nürnberger, Andreas Faculty of Computer Science Otto von Guericke University Magdeburg Magdeburg Germany Data and Knowledge Engineering Group Otto von Guericke University Magdeburg Magdeburg Germany Genomics Research Centre Human Technopole Milan Italy Hertie Institute for Clinical Brain Research Tuebingen Germany XenomatiX NV Leuven Belgium

ISBN: (纸本)9783031806063

In recent years, the field of autonomous vehicles and driverless technology has seen remarkable advancements, driven by contributions from mainstream automotive manufacturers and open-source projects. This research aims to develop a pipeline for road scene understanding through semantic segmentation. The proposed pipeline utilises a multi-modal segmentation model, incorporating greyscale images and point cloud data from Xenolidar, specifically designed to capture the structural priors of highway road scenes. The fusion of input modalities and the design of an encoder-decoder architecture with a novel attention scheme called HaWANet is introduced, which focuses on the height and width contextual information to improve the accuracy of road segmentation, are the primary aspects explored for the proposed model. The output of the encoder is a two-dimensional point cloud, which effectively represents the road’s planar nature, and is crucial for improving the accuracy of road segmentation, particularly in edge cases, addressing current challenges in autonomous driving research. This research, aimed at addressing the segmentation problem for multimodal sensor data, has presented significant performance improvement over single-modal approaches. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2025.

关键词： Semantic Segmentation

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Exploring Design Options for Promoting Equal Participation in Hybrid Collaboration Settings in Higher Education 19th

Exploring Design Options for Promoting Equal Participation i...

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19th European Conference on Technology Enhanced Learning (EC-TEL)

作者： Avdullahu, Arlind Rummel, Nikol Herrmann, Thomas Ruhr Univ Bochum Educ Psychol & Technol Res Grp Bochum Germany Ruhr Univ Bochum Bochum Germany

ISBN: (纸本)9783031723148;9783031723155

In hybrid collaboration settings, co-located and remote learners simultaneously work together on shared material and joint tasks. Promoting equal participation of all group members in hybrid collaboration - especially the remote ones - is a particular, yet underresearched challenge. To address this research gap, in a previous study we identified 16 requirements for improving hybrid collaboration. We converted each requirement into multiple solution options that help to meet the respective requirement. As not all these options can be integrated into the design of a hybrid collaboration setting, we need to know how these options can be prioritized and which combination of them is most promising and should be further investigated. Thus, we conducted six focus group sessions with three collaborative learners (university students) each to gain further insights into the appropriate design. We used storyboards and scenarios with conceptual designs of the solution options for each requirement that needed final design decisions in order to discuss possible solutions. The results of our exploration helped to identify a hybrid collaboration setting that might be most promising for promoting equal participation: On the basic technical side, for example, each co-located participant should use their own camera in addition to one shared camera for the whole group. The identified setting also combines script-based support with a group awareness tool. Thus, it, provides guidance on how to approach group work to ensure equal participation, and additionally allows to reflect on whether contributions are being distributed equally.

关键词： Hybrid Collaboration Higher Education Equal Participation computer-Supported Collaborative Learning Support Measures

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Brief Announcement: Understanding Self-stabilizing Node-Capacitated Overlay Networks Through Simulation 1

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25th International Symposium on Stabilization, Safety, and Security of Distributed Systems, SSS 2023

作者： Afeaneku, Winfred Berns, Andrew Kuchenberg, Weston Leisinger, Sara Liu, Cedric Department of Computer Science University of Northern Iowa Cedar FallsIA United States Cedar Falls High School Cedar FallsIA United States

ISBN: (数字)9783031442742

ISBN: (纸本)9783031442735

Overlay networks, where connections are made over logical links composed of zero or more physical links, are a popular paradigm in modern distributed computing. The use of logical links allows the creation of a variety of network topologies with desirable properties such as low degree and low diameter, regardless of the (usually) fixed physical topology. Many of these overlay networks operate in unfriendly environments where transient faults are commonplace. Self-stabilizing overlay networks present one way to manage these faults. In particular, self-stabilizing overlay networks can guarantee that the desired network topology is created when starting from any weakly-connected initial state. To date, work on self-stabilizing overlay networks has assumed the network has either unbounded bandwidth, or that the bandwidth constraints are placed on the communication links themselves. In practice, however, the bandwidth constraints are actually capacities on the nodes: adding and deleting logical links does not change the fixed physical links being used. In this work, we describe the node-capacitated model for self-stabilizing overlay networks. To better understand this new model, we created a simulation and ran it numerous times while adjusting various parameters. We discuss this simulation and several experiments. Finally, we propose future directions for self-stabilizing node-capacitated overlay networks. © 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.

关键词： Overlay networks

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Visual Sensor Layout Optimization of a Robotic Mobile Adhesive Removal System for Wind Turbine Blade Based on Simulation 1

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16th International Conference on Intelligent Robotics and Applications, ICIRA 2023

作者： Peng, Bo Zheng, Feifan Zhang, Fan Ming, Shilin Li, Yan Deng, Xutao Gong, Zeyu Tao, Bo DEC Academy of Science and Technology Co Ltd. Chengdu611731 China Huazhong University of Science and Technology Wuhan430074 China

ISBN: (数字)9789819964987

ISBN: (纸本)9789819964970

In the manufacturing process of wind turbine blades, residual adhesive may overflow after the mold closing of the blades. The overflowing residual adhesive may cause damage to the inside of the wind turbine blades when the blades are in motion during operation. To address this, an adhesive removal robot capable of identifying and removing residual adhesive was designed. The robot is equipped with a vision system that enables adhesive recognition and guides the adhesive removal mechanism. Given the lack of precedents and the complexity of the robot's functions, it was necessary to streamline the development process and optimize the design scheme of the vision system to reduce costs and shorten development cycles. Therefore, a simulation environment using Gazebo was constructed to evaluate different design schemes for safety and effectiveness, and finally the optimization of the sensor layout scheme was realized. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2023.

关键词： Adhesives

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Secure Motion Verification for High Altitude Platforms with a Hybrid AOA-TDOA-FDOA Scheme 18th

Secure Motion Verification for High Altitude Platforms with...

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18th International Conference on Wireless Artificial Intelligent Computing Systems and Applications, WASA 2024

作者： Wang, Yuanyuan Zhang, Chi Pan, Miao School of Cyber Science and Technology University of Science and Technology of China Anhui Hefei230027 China Department of Electrical and Computer Engineering University of Houston HoustonTX77204 United States

ISBN: (纸本)9783031714696

To improve flight safety, high altitude platforms (HAPs) must broadcast their motion state information (i.e., position and velocity) to surrounding aircrafts and ground stations for the purpose of collision-avoidance. However, an attacker may send spoofed signals to the global positioning system (GPS) receiver equipped on the HAP, which will mislead the HAP into calculating false position and velocity. Hence it is crucial to verify the motion claims of HAPs. We propose a secure motion verification scheme which utilizes the angle of arrival (AOA), time difference of arrival (TDOA), and frequency difference of arrival (FDOA) features within the broadcasted signal to estimate the motion state of the HAP. The proposed estimation scheme formulates a mathematical optimization problem to minimize the difference between AOA, TDOA, FDOA measurements and geometric derivations. Then we introduce a Levenberg-Marquardt based algorithm to solve the optimization problem and obtain the estimated position and velocity. Finally, we carry out real-world experiments with an airship released in Hami city to demonstrate the feasibility of the motion verification scheme and results show that the scheme can accurately detect false motion claims. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2025.

关键词： Global positioning system

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A Relevant Prototype Domain Gradient Projection Continual Learning Method for Cross-Subject P300 Brain-computer Interfaces 20th

A Relevant Prototype Domain Gradient Projection Continual Le...

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20th International Conference on Intelligent Computing (ICIC)

作者： Wu, Zhicong Cai, Honghua Ling, Yuyan Pan, Jiahui South China Normal Univ Sch Software Guangzhou 510631 Peoples R China

ISBN: (纸本)9789819755905;9789819755912

Brain-computer interfaces (BCIs) enable communication between the human brain and external devices. However, different factors such as subject specificity lead to excessive individual dependency on conventional BCI systems and deterioration of the usability of the system. Therefore, we propose a relevant prototype domain gradient projection continual learning method to address this challenge. Specifically, we use a prototype domain construction strategy to construct a prototype domain for each subject. Then, the gradient projection method is utilized during continual learning to construct a new prototype domain by selecting previous relevant prototype domains for the current subject. We applied our method to a P300-based cross-subject BCI spelling system and obtained good performance. An average accuracy of 95% was obtained in the offline test of 15 subjects. In addition, the simulated online test for 10 subjects had an average accuracy of 85%, and more than half of the subjects were able to reach 90%. At the same time, the phenomenon of catastrophic forgetting can be avoided in our method. Many experimental results demonstrate the effectiveness of our method.

关键词： Brain-computer interface (BCI) P300 Cross-subject Continual learning Prototype domain Gradient projection

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Overview of Technologies in Marine Robotics 1

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16th International Conference on Intelligent Robotics and Applications, ICIRA 2023

作者： Shen, He Zeng, Jinxin Yang, Yixin School of Marine Science and Technology Northwestern Polytechnical University Shaanxi Xi’an710072 China Shaanxi Key Laboratory of Underwater Information Technology Shaanxi Xi’an710072 China

ISBN: (数字)9789819964987

ISBN: (纸本)9789819964970

Marine robotics is a fast-growing and important branch of robotics. Meanwhile, it is highly interdisciplinary and faces special challenges in the marine environment. This paper provides a systematic overview of core technologies in marine robotics. Building upon the operational "sense-think-act" paradigm, we put forward five clusters of technologies, including "sense", "think", "act", "system", and "interactions". These interconnected five clusters of technologies form a framework for readers to have a quick grasp of the technologies in marine robotics. Following this framework, special challenges and recent progress are also presented. Finally, future trends in addressing these special challenges are also brought to readers’ attention. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2023.

关键词： Robotics

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Towards Communication-Efficient Collaborative Perception: Harnessing Channel-Spatial Attention and Knowledge Distillation 18th

Towards Communication-Efficient Collaborative Perception: Ha...

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18th International Conference on Wireless Artificial Intelligent Computing Systems and Applications, WASA 2024

作者： Wang, Fei Dai, Penglin Li, Chuzhao Meng, Zhangjie Liu, Kai College of Computer Science Chongqing University Chongqing China School of Computing and Artificial Intelligence Southwest Jiaotong University Chengdu China China Automotive Engineering Research Institute Company Ltd. Chongqing China

ISBN: (纸本)9783031714696

Collaborative perception holds the promise of enhancing the accuracy of 3D object detection over single-vehicle perception. However, existing collaborative perception methods face persistent challenges, including overly complex fusion strategies, noise introduced by directly replicating full-size features, and excessive communication overhead. To tackle these issues, this paper proposes an innovative framework for collaborative perception based on knowledge distillation, an early-fusion-based teacher model guides an intermediate-fusion-based student model for efficient deployment. Within the teacher model, we introduce the Channel-Spatial Attention Adaptive (CSAA) module, which refines features into enriched representations conducive to collaboration. Additionally, in the student model, we employ a feature filter to identify valuable regions, alongside feature compression techniques by quantization and entropy coding to further reduce transmission volume. Moreover, we introduce an adaptive knowledge distillation method focusing on target-centric areas, embedding crucial clues into the student network to enhance perception performance. Extensive experiments conducted on the V2XSim2.0 dataset demonstrate the superiority of our method, achieving a 10.3% improvement in accuracy over the state-of-the-art collaborative perception method, while reducing 46× communication volume. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2025.

关键词： Students

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