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Recent advances in acoustofluidic separation technology in biology

Microsystems & Nanoengineering 2022年第5期8卷 1-16页

作者： Yanping Fan Xuan Wang Jiaqi Ren Francis Lin Jiandong Wu School of Optical-Electrical and Computer Engineering University of Shanghai for Science and TechnologyShanghai 200093China Institute of Biomedical and Health Engineering Shenzhen Institute of Advanced TechnologyChinese Academy of SciencesShenzhen 518055China Department of Physics and Astronomy University of ManitobaWinnipegMB R3T 2N2Canada

Acoustofluidic separation of cells and particles is an emerging technology that integrates acoustics and *** the last decade,this technology has attracted significant attention due to its biocompatible,contactless,and labelfree *** has been widely validated in the separation of cells and submicron bioparticles and shows great potential in different biological and biomedical *** review first introduces the theories and mechanisms of acoustofluidic ***,various applications of this technology in the separation of biological particles such as cells,viruses,biomolecules,and exosomes are ***,we discuss the challenges and future prospects of this field.

关键词： fluid separation acoustics

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Triangular Formation Cluster Space Control for Multi-Agent Entrapment/Escorting Tasks

Triangular Formation Cluster Space Control for Multi-Agent E...

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2023 IEEE Conference on Control Technology and Applications, CCTA 2023

作者： Cruz, Ernesto Monroy Carrillo, Luis Rodolfo Garcia Quesada, Eduardo Steed Espinoza Hidalgo Mexico New Mexico State University Klipsch School of Electrical and Computer Engineering New Mexico United States Center of Research and Advanced Studies of the National Polytechnic Institute Mexico National Council of Humanities Science and Technology Mexico

ISBN: (纸本)9798350335446

The task of enabling a multi-agent system for entrapping and escorting static/dynamic targets in the context of cluster space control is addressed. The proposed methodology consists of two main strategies. On one hand, the entrapping and escorting problems are specified in terms of cluster parameter trajectories, resulting in individual robot motions capable of satisfying the required multi-agent formation behavior. On the other hand, a fuzzy logic controller is designed in order to deal with the uncertainty in the model of the platform used in laboratory tests. Experimental results showing a team of three ground mobile robots entrapping a static target, as well as escorting a dynamic target demonstrate the effectiveness of the proposed control scheme. © 2023 IEEE.

关键词： Multi agent systems

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Towards Interpretable, Attention-Based Crime Forecasting

Towards Interpretable, Attention-Based Crime Forecasting

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IEEE International Conference on Systems, Man and Cybernetics

作者： Yujunrong Ma Xiaowen Qi Kiminori Nakamura Shuvra S. Bhattacharyya Department of Electrical and Computer Engineering University of Maryland College Park USA Department of Criminology and Criminal Justice University of Maryland College Park USA Department of Electrical and Computer Engineering Institute for Advanced Computer Studies University of Maryland College Park USA

While the use of machine learning techniques in high stake fields, such as medical diagnosis and criminal justice, has been increasing in recent years, concerns have been raised regarding the lack of transparency and interpretability of the algorithms used. In this paper, we propose the use of interpretable attention-based ConvLSTM models for crime forecasting application. This approach combines the power of ConvLSTM models in capturing spatio-temporal patterns with the interpretability of attention mechanisms, allowing for the identification of key geographic areas in the input data that contribute to the prediction. We demonstrate the effectiveness of this approach through experiments on real-world crime data, showing that our model demonstrates high accuracy in crime predictions while providing insightful visualization that enhances the interpretability of prediction results.

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Zero crosstalk in anisotropic TM leaky mode with subwavelength grating metamaterials

Zero crosstalk in anisotropic TM leaky mode with subwaveleng...

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2023 Conference on Lasers and Electro-Optics, CLEO 2023

作者： Kabir, Md Faiyaz Mia, Md Borhan Ahmed, Ishtiaque Jaidye, Nafiz Ahmed, Syed Z. Kim, Sangsik Department of Electrical and Computer Engineering Texas Tech University LubbockTX79409 United States Department of Physics and Astronomy Texas Tech University LubbockTX794094 United States School of Electrical Engineering Korea Advanced Institute of Science and Technology Daejeon34141 Korea Republic of

We show that a TM leaky mode realized by subwavelength gratings (SWGs) can eliminate crosstalk between proximate waveguides. Oscillating fields i n t he SWGs allow coupling coefficient components to counteract each ot... 详细信息

ISBN: (纸本)9781957171258

关键词： Crosstalk

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Detection and Classification of Drones Through Acoustic Features Using a Spike-Based Reservoir computer for Low Power Applications 41

Detection and Classification of Drones Through Acoustic Feat...

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41st IEEE/AIAA Digital Avionics Systems Conference, DASC 2022

作者： Henderson, Alex Yakopcic, Chris Harbour, Steven Taha, Tarek M. Dayton Engineering Advanced Projects Lab Southwest Research Institute Beavercreek United States University of Dayton Department of Electrical and Computer Engineering Dayton United States

ISBN: (数字)9781665486071

ISBN: (纸本)9781665486071

Over the past few decades, the use of drones for applications such as defense, reconnaissance, agriculture, law enforcement, and others has dramatically increased. Although drones are useful for these applications, they can also be utilized to perform malicious activities, thus compromising the safety and integrity of physical infrastructures. To address this issue, various techniques have been developed to detect and identify drones, including radar, visual analysis, and radio-frequency signal processing. Furthermore, deep learning algorithms based on the recognition of acoustic drone features have been proposed to automate the detection process and overcome the current limitations in modern drone detection systems. This paper presents an auditory drone detection and identification system based on the sparse, event-driven communication nature of Spiking Neural Networks (SNNs). We investigate the use of a spiking reservoir computing model, known as a Liquid State Machine (LSM), that offers a computationally light alternative to the deep learning approaches of previous works. The LSM based auditory drone detection and identification system is demonstrated on a publicly available acoustic drone dataset, achieving an accuracy of 97.13% and 93.25% on the detection and identification tasks, respectively. To the best of our knowledge, this work presents the first spike-based implementation of an auditory drone recognition system. Moreover, this paper highlights the potential for low size, weight, and power neuromorphic hardware deployment for drone applications that may be limited to energy-constrained environments. © 2022 IEEE.

关键词： Drones

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A Novel 0.04 pJ/bit Dynamic TRNG using Bit Reconfigurable Ring Oscillators

A Novel 0.04 pJ/bit Dynamic TRNG using Bit Reconfigurable Ri...

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IEEE Southeastcon

作者： Shelby Williams Kasem Khalil Magdy Bayoumi Center for Advanced Computer Studies Univ. of Louisiana at Lafayette Lafayette LA USA Department of Electrical and Computer Engineering Univ. of Mississippi Oxford MS USA Department of Electrical Engineering Assiut Univ. Assiut Egypt Department of Electrical and Computer Engineering University of Louisiana at Lafayette Lafayette LA USA

True Random Number Generators (TRNGs) form the core and foundation of secure systems, ensuring the consistency and integrity of cryptographic operations. Their robustness and reliability significantly contribute to safeguarding sensitive information against potential threats and breaches. TRNGs rely on natural fluctuations, sourcing noise from various unpredictable physical phenomena, including thermal, electronic, and quantum effects, to generate high-entropy signals. While analog TRNGs offer effective solutions, an all-digital, CMOS-manufacturable approach is highly desir-able for several reasons: (1) low-power consumption, (2) cost-effectiveness, and (3) dependability. This proposed design is one such attempt, presenting a flexible framework that dynamically selects among several unique Ring Oscil-lators (ROs) to generate truly random bits. Remarkably, it achieves a random-number generation rate of 1 Gbits/sec while consuming only 1 *** (pJ) every 25 random bits generated and has a Gate Equivalence (GE) of only 119. These findings were validated in Cadence's Virtuoso and Design Vision software environments, respectively. As a low-power design, its average power consumption was a mere 34.12μW. Additionally, it underwent synthesis on an Altera Cyclone V FPGA, successfully passing all the NIST SP800 test suite for randomness. This validation substan-tiates its effectiveness in a real hardware implementation, making it applicable across various decentralized domains such as Edge Computing, Internet of Things, and Federated Learning.

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Detecting Smart Contract Project Anomalies in Metaverse

Detecting Smart Contract Project Anomalies in Metaverse

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2023 IEEE International Conference on Metaverse Computing, Networking and Applications, MetaCom 2023

作者： Su, Shen Tan, Yuntian Xue, Yue Wang, Chao Lu, Hui Tian, Zhihong Shan, Chun Du, Xiaojiang Guangzhou University Cyberspace Institute of Advanced Technoloqy Guangzhou China Guangdong Polytechnic Normal University School of Electronics and Information Guangzhou China Stevens Institute of Technology Department of Electrical and Computer Engineering HobokenNJ United States

ISBN: (纸本)9798350333336

The metaverse virtual assets are carried by smart contract, thus detecting the potential smart contract vulnerabilities and malicious intension is critical to protect the metaverse digital assets and the investors' confidence. However, existing research mainly focus on the Ethereum address features, which can hardly reveal the characteristics of the entire smart contract project. In this paper, we take the first step to detect smart contract anomalies on the granularity of smart contract project, and propose a method to identify the smart contract project's subordinate addresses, and a model network which takes the runtime features of the smart contract project. We further apply our method on our dataset collected from projects deployed on Ethereum, and prove that our method could effectively recognize the similarity of smart contract projects, and identify the malicious transactions which trigger smart contract project anomalies. © 2023 IEEE.

关键词： Smart contract

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Fast Erasure Decoding of Reed-Solomon Codes Based on Decomposition of Vandermonde Matrix 16

Fast Erasure Decoding of Reed-Solomon Codes Based on Decompo...

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16th International Conference on Wireless Communications and Signal Processing, WCSP 2024

作者： Lin, Zebing Lv, Jingjie Li, Pingping Song, Linqi Liang, Hui Hou, Hanxu School of Computer Science and Technology Dongguan University of Technology China School of Electrical Engineering & Intelligentization Dongguan University of Technology China Shenzhen Institute for Advanced Study University of Electronic Science & Technology of China China City University of Hong Kong Department of Computer Science Hong Kong City University of Hong Kong Shenzhen Research Institute Hong Kong

ISBN: (纸本)9798350390643

Reed-Solomon (RS) codes are widely applied in storage systems. The main bottleneck of RS codes is that the high decoding complexity defined as the number of multiplications and additions. In this paper, we propose a fast decoding algorithm for RS codes that requires fewer number of multiplications. Our fast decoding algorithm is designed by a decomposition of Vandermonde matrices. We show that our decoding algorithm requires fewer number of multiplications than the existing best known algorithm when the number of parities T is large. When the codeword length N=16, our decoding algorithm reduces the number of multiplications by 7% and 29% when T=4 and T=7, respectively, compared with the best known decoding algorithm. © 2024 IEEE.

关键词： Reed-Solomon codes

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SiamCircle: Trajectory Representation Learning in Free Settings 23rd

SiamCircle: Trajectory Representation Learning in Free Sett...

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23rd International Symposium on Intelligent Data Analysis, IDA 2025

作者： Nasri, Maedeh Baratchi, Mitra Koutamanis, Alexander Rieffe, Carolien Department of Developmental Psychology Leiden University Leiden Netherlands Leiden Institute of Advanced Computer Science Leiden University Leiden Netherlands Faculty of Architecture and the Built Environment Delft University of Technology Delft Netherlands Faculty of Electrical Engineering Mathematics and Computer Science University of Twente Enschede Netherlands Department of Psychology and Human Development Institute of Education UCL London United Kingdom

ISBN: (纸本)9783031913976

Trajectory representation learning (TRL) is an intermediate step in handling trajectory data to realize various downstream machine-learning tasks. While most previous TRL research focuses on modeling structured movements in large-scale urban spaces (e.g., cars or pedestrians on streets), this paper focuses on a more challenging scenario of modeling free movement in small-scale social spaces (e.g., children playing in a schoolyard). We present a TRL model, SiamCircle, to process raw trajectories without additional feature extraction to prevent information loss. SiamCircle adopts a Siamese network with Circle Loss to learn trajectory embeddings. Furthermore, SiamCircle employs a data augmentation process to enable self-supervised learning and enrich the input data to address the limited access to high-quality data and ground truth. We evaluate the performance of SiamCircle in downstream tasks using trajectory ranking and clustering performance via seven evaluation metrics collectively. Using an ablation study, we explored the impact of different loss functions on the model’s performance. Accordingly, we selected a 2-D convolutional design with Circle Loss as the best-performing model. In a comparative study, we compared our model against three other baselines. We observed up to 19% improvements in trajectory ranking tasks and achieved the highest average rank in supervised clustering tasks. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2025.

关键词： Sorting

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A Study of Trot Gait Control System of a Quadruped Robot Using IMU Sensor 61

A Study of Trot Gait Control System of a Quadruped Robot Usi...

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61st Annual Conference of the Society of Instrument and Control Engineers of Japan, SICE 2022

作者： Mori, Kimihiro Ohkubo, Tomoyuki Kobayashi, Kazuyuki Watanabe, Kajiro Tian, Kaiqiao Sebi, Nashwan J. Cheok, Ka C. Hosei University Graduate School of Science and Engineering Tokyo Japan Advanced Institute of Industrial Technology Tokyo Japan Oakland University School of Engineering & Computer Science Electrical & Computer Engineering Department RochesterMI United States

ISBN: (数字)9784907764784

ISBN: (纸本)9784907764784

This paper describes a stable trot gait control system for a quadruped robot that enables faster walking with stability. Compared to other gait types, it is possible to walk faster with relatively little energy expenditure, which means trot gait is suitable to control for the quadruped robot. However, trot gait does not prevent roll and pitch angle fluctuations, essentially, even when walking on flat terrain, because two legs temporarily support the robot body. Therefore, to suppress the effect of this fluctuation and stabilize the posture of the robot body, we proposed a trot gait control system using an IMU sensor and achieved faster walking without slipping. To confirm the validity of the proposed stable trot gait control system, we built a quadruped robot based on TurtleBot3 chassis and implement our system. To validate the system's effectiveness, we carried out several experiments running on various types of terrain, including sloping terrain. © 2022 The Society of Instrument and Control Engineers - SICE.

关键词： Control systems

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