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38th International Conference on Image and Vision Computing New Zealand, IVCNZ 2023

作者： Bishop, Haig Tayagui, Ayelen Sun, Yiling Garrill, Ashley Nock, Volker University of Canterbury School of Biological Sciences Christchurch New Zealand University of Canterbury Electrical and Computer Engineering Christchurch New Zealand

ISBN: (纸本)9798350370515

Elastomeric micropillars constitute a versatile sensor platform to investigate the forces exerted by microorganisms. Microfabricated to match the scale of the target organisms, the force imparted on a sensor pillar leads to a deflection of the pillar top, which can be recorded using optical microscopy. Knowing the height of the contact point, pillar dimensions and material properties, the deflection can be easily converted into a force value based on a simple bending and shear model for a cylinder. However, current software approaches developed to perform the pillar top tracking and conversion lack in automation and user-friendliness. In this paper we present a pillar centroid tracker (PCT) software tool which combines a specialised pillar tracking algorithm with general improvements to data processing steps, integrating all parts of the workflow into a single, streamlined application. We compare performance of the tool to existing approaches and showcase its operation by applying it to the example of protrusive force sensing in hyphal microorganisms. © 2023 IEEE.

关键词： Microorganisms

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Competitive Swarm Optimizer Based on Individual Learning Mechanism 5

Competitive Swarm Optimizer Based on Individual Learning Mec...

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5th International Conference on High Performance Big Data and Intelligent Systems, HDIS 2023

作者： Tang, JingQi Li, Wei Wang, Lei School of Computer Science and Engineering Xi’an University of Technology Xi’an China Shaanxi Key Laboratory for Network Computing and Security Technology Xi’an China

ISBN: (纸本)9798350394160

In view of the disadvantages of the traditional competitive swarm optimizer (CSO), such as falling into local minimization or poor convergence accuracy, this paper proposed an enhanced CSO algorithm called competitive swarm optimizer based on individual learning mechanism (ILCSO). Firstly, the individual selection rate and the learning rate are designed to dynamically select the winner and loser. The losers are updated by the precise competitive learning strategy to improve the algorithm exploitation ability. Secondly, the mutation strategy based on performance improvement is introduced, which improves the search ability of algorithm. The proposed algorithm effectively balances the local search and global exploration with the individual learning mechanism, and improves the probability of finding the global optimal solution. Finally, ILCSO is compared with six classical meta-heuristic algorithms on CEC2014 benchmark functions. The Wilcoxon rank-sum test is used to demonstrate that the ILCSO is effective. Experimental results and statistical analysis show that ILCSO has higher convergence speed and convergence accuracy. ©2023 IEEE.

关键词： Swarm intelligence

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Unveiling the Dynamic Influence Zones of Distributed Generation Units Using a Visualisation Approach

Unveiling the Dynamic Influence Zones of Distributed Generat...

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2023 IEEE International Conference on Energy Technologies for Future Grids, ETFG 2023

作者： Nigar, Yasmin Agalgaonkar, Ashish. P. Muttaqi, Kashem M The Australian Power and Energy Research Institute School of Electrical Computer and Telecommunications Engineering University of Wollongong WollongongNSW2522 Australia

ISBN: (纸本)9781665471640

The global pursuit of mitigating climate change and achieving the net-zero target has urged implementation of various distributed energy resources such as solar, wind, batteries and electric vehicles (EV). Unlike conventional sources, Distributed Generation (DG) are intermittent and decentralised. Hence, understanding the dynamic influence zone of DG units is essential for maximising renewable energy resources and also, planning and management of spatial load/generations. This paper addresses a novel probabilistic visualisation approach to identify and assess the dynamic influence zones of DG units using a polar histogram by considering line current flows. To validate the effectiveness of the proposed method, simulations were conducted on a 33 bus distribution system using real time load data and considering three case scenarios with and without DG. © 2023 IEEE.

关键词： Distributed Generation Distribution network Electric Vehicle network Visualisation Polar Histogram Probabilistic Visualisation Sphere of Influence

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High-Speed Arbitrary Waveform Generation Based on the Temporal Vernier Effect

High-Speed Arbitrary Waveform Generation Based on the Tempor...

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2023 International Topical Meeting on Microwave Photonics, MWP 2023

作者： Guan, Yiran Wang, Guangying Zhang, Jiejun Yao, Jianping Jinan University Institute of Photonics Technology Guangzhou China University of Ottawa School of Electrical Engineering and Computer Science Ottawa Canada

ISBN: (纸本)9798350342215

High-speed arbitrary waveforms with a sampling rate over 100 GSa/s are of fundamental interest for various applications, such as spectroscopy, radar, optical communications, and biological imaging. In this paper, we propose and experimentally demonstrate a novel approach to the photonic generation of high-speed arbitrary waveforms based on the temporal Vernier effect with a simple and low-cost architecture involving a mode-locked laser (MLL) and a fiber loop. We show that the high sampling rate can be realized by matching two different temporal scales, i.e., the period of the optical pulse train from the MLL and the round-Trip time of the fiber loop. The approach is evaluated experimentally. Two arbitrary waveforms with a widely tunable sampling rate from 5 to 250 GSa/s are generated. The fidelity of the generated waveforms is also evaluated by calculating the average root mean square error, which is as low as 0.0479. © 2023 IEEE.

关键词： Optical communication

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Age of Information Minimization in UAV-Assisted Covert Communication: Trajectory and Beamforming Design

arXiv

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arXiv 2024年

作者： Hosseini, Shima Salar Azmi, Paeiz Nazari, Ali The Department of Electrical and Computer Engineering Tarbiat Modares University Tehran Iran School of Electrical and Computer Engineering College of Engineering University of Tehran Tehran Iran

Unmanned aerial vehicles (UAVs) have the potential for time-sensitive applications. Due to wireless channel variation, received data may have an expiration time, particularly in critical situations such as rescue operations, natural disasters, or the military. Age of Information (AoI) is a metric that measures the freshness of received packets to specify the validity period of information. In addition, it is necessary to guarantee the privacy of confidential information transmission through air-to-ground links against eavesdroppers. This paper investigates UAV-assisted covert communication to minimize AoI in the presence of an aerial eavesdropper for the first time. However, to ensure the eavesdropper’s error detection rate, UAV-enabled beamforming employs the power-domain non-orthogonal multiple access (PD-NOMA) technique to cover the covert user by a public user. PD-NOMA technique significantly improves the user’s AoI, too. The joint optimization problem contains non-convex constraints and coupled optimization variables, including UAV trajectory, beamforming design, and the user’s AoI which is challenging to derive a direct solution. We have developed an efficient alternating optimization technique to address the formulated optimization problem. Numerical results demonstrate the impact of the main parameters on the performance of the proposed communication system. Copyright © 2024, The Authors. All rights reserved.

关键词： Unmanned aerial vehicles (UAV)

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Unpredictable Switching for Cyber-Physical Security Against Worst-case Attackers 63

Unpredictable Switching for Cyber-Physical Security Against ...

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63rd IEEE Conference on Decision and Control, CDC 2024

作者： Kanellopoulos, Aris Fotiadis, Filippos Vamvoudakis, Kyriakos G. Sandberg, Henrik Kth Royal Institute of Technology Division of Decision and Control Systems School of Electrical Engineering and Computer Science Stockholm10044 Sweden Georgia Institute of Technology Daniel Guggenheim School of Aerospace Engineering AtlantaGA30332 United States

ISBN: (纸本)9798350316339

In this paper, we investigate the problem of securing a system against actuator attacks. Specifically, we employ an unpredictability-based defense algorithm according to the principles of Moving Target Defense, while explicitly considering the worst-case attack that can be launched into the system. Consequently, we allow the system to alternate between different actuating modes, but also between optimal and robust control schemes. Via game-theoretic methods, we derive mixed strategies dictating the probabilities of utilizing different controllers for a given mode of operation, whereas an entropy-augmented optimization problem gives the probabilities of using these different modes. Finally, the overall stability of the system is analyzed, and simulation results showcase the efficacy of our proposed method. © 2024 IEEE.

关键词： Cyber attacks

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Dual Cues Dual Stream of Dilated Convolution Layers for Early Prediction of Alzheimer’s Disease 3rd

Dual Cues Dual Stream of Dilated Convolution Layers for Earl...

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3rd International Conference on Signal and Data Processing, ICSDP 2023

作者： Tripathy, Santosh Kumar Panigrahi, Susant Kumar Rambabu, Medara Department of Computer Science and Engineering National Institute of Technology Patna Bihar Patna800005 India School of Electrical & Electronics Engineering VIT Bhopal University Kothrikalan Sehore Madhya Pradesh Bhopal466114 India Department of Computer Science and Engineering Gandhi Institute of Technology and Management Visakhapatnam530045 India

ISBN: (纸本)9789819795772

Recently, a considerable number of investigations on deep learning methodologies for early identification of Alzheimer's disease (AD) have been reported in the literature. For accurate diagnosis, the currently used feature modelling algorithms must be improved. Such the gap is addressed by proposing a dual stream of dilated convolutional neural networks. The architecture uses Canny edge maps and MRI scans as two samples’ cues to extract fine-grained spatial characteristics. To enhance the quality of feature modelling process, the high-level features from the dual streams are combined. To predict illness stages, the fused features are flattened and tightly connected with 256 neurons. These neurons are then fully connected to an output layer for AD diagnosis. For testing and validation, the publicly accessible AD dataset is considered in this article to verify the performance of the proposed architecture. With a 95.93% accuracy rate, the suggested model outperforms the current best practices. Additionally, an ablation study on the architecture is also included to illustrate how each stream behaves for each sample cue. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.

关键词： Neurodegenerative diseases

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Twitter sentiment analysis using conditional generative adversarial network

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International Journal of Cognitive Computing in engineering 2024年第1期5卷 161-169页

作者： Mahalakshmi, V. Shenbagavalli, P. Raguvaran, S. Rajakumareswaran, V. Sivaraman, E. Department of Information Technology Sengunthar College of Engineering Tiruchengode Tiruchengode637205 India Assistant Professor Karunya Institute of Technology and Sciences Coimbatore India Assistant Professor Department of Computational Intelligence School of Computing SRM Institute of Science and Technology SRM Nagar Kattankulathur Kanchipuram Chennai Tamil Nadu 603203 India Assistant Professor Department of Computer Science and Design Erode Sengunthar Engineering College Tamil Nadu Thuduppathi India Department of Electrical and Computer Engineering Curtin University Miri Malaysia

Sentiment analysis, which aims to extract information from textual data indicating people's ideas or attitudes about a particular problem, has developed into one of the most exciting study issues in natural language processing (NLP) with the development of social media. Twitter is a social network with an extensive audience that expresses their thoughts and opinions clearly and readily. Due to the prevalence of slang phrases and incorrect spellings in short phrase styles, Twitter data analysis is more challenging than data analysis from other social networks. Automated feature selection still has several limitations, such as higher computing costs that rise with the number of characteristics. Deep learning, which is self-learned and more accurate at processing vast amounts of data, is utilized to overcome these challenges. This paper introduces a conditional generative adversarial network (GAN) for Twitter sentiment analysis, whereas a convolutional neural network (CNN) has been used to extract traits from Twitter data. Compared to existing works, the proposed work has outperformed in accuracy, recall, precision, and F1 score. The suggested method is the most accurate, with a classification accuracy of 93.33 %. © 2024

关键词： Sentiment analysis

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Optimizing Resource Efficiency in Smart Greenhouses through IoT 5

Optimizing Resource Efficiency in Smart Greenhouses through ...

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5th IEEE International Conference for Emerging Technology, INCET 2024

作者： Debdas, Subhra Pandey, Shikhar Gupta, Shivam Dash, Ranjan Kumar Patnaik, Manik Chand Singh, Anusthan Ajay School of Electrical Engineering KIIT Deemed to Be University Bhubaneswar India School of Computer Engineering KIIT Deemed to Be University Bhubaneswar India Odisha University of Technology and Research Bhubaneswar India Department of CSE Roland Institute of Technology Brahmapur India

ISBN: (纸本)9798350361155

In the pursuit of sustainable agriculture, smart greenhouses have emerged as a vital solution, enhancing crop productivity while assuring resource *** research delves into the optimization of resource efficiency in smart greenhouses by leveraging the Internet of Things (IoT). Through a comprehensive review of current technologies and methods, the study identifies key challenges and opportunities within the domain. A novel framework is proposed, integrating IoT sensors and actuators to monitor and control the microclimate, ensuring optimal growth conditions while minimizing resource usage. Data from sensor networks are analyzed to predict resource needs, enabling precision farming practices. The framework emphasizes the use of Machine Learning algorithms to enable predictive analytics for resource allocation, ensuring that water, nutrients, and energy are distributed more efficiently. The potential of Lightweight Resource Allocation (LaRA) algorithms is also explored to maintain the delicate balance between maximizing yield and minimizing environmental impact. Ultimately, this research highlights the transformational potential of IoT in creating green, efficient, and productive agricultural practices within smart greenhouses. © 2024 IEEE.

关键词： Sensor networks

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Novel Compact UWB Band Notch Antenna Design for Body-Centric Communications

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computer Systems Science & engineering 2022年第2期40卷 673-689页

作者： Sk Raziul Ahasan Kaisarul Islam Mohammad Monirujjaman Khan Mehedi Masud GurjotSingh Gaba Hesham A.Alhumyani Department of Electrical and Computer Engineering North South UniversityBashundharaDhaka1229Bangladesh Department of Computer Science College of Computers and Information TechnologyTaif UniversityP.O.Box 11099Taif21944Saudi Arabia School of Electronics&Electrical Engineering Lovely Professional UniversityPunjabIndia Department of Computer Engineering College of Computers and Information TechnologyTaif UniversityP.O.Box 11099Taif21944Saudi Arabia

This research analyzes and implements an innovative and tiny ultrawideband(UWB)antenna with band-notched features for body-centric *** shape of the designed antenna looks like a‘swan’with a slotted *** Simulation Technology(CST)is used to assess and investigate the performance of this *** a band notch,this antenna can prevent interference from Wireless Local Area network(WLAN)(5.15–5.825 GHz)and Worldwide Interoperability for Microwave Access(WiMAX)(5.25–5.85 GHz)*** first,the performance parameters like return loss response,gain,radiation patterns,and radiation efficiency of this UWB antenna are *** that,the human body effects on the antenna performance of the antenna are also examined to place the antenna at various distances away from 3-layers of phantom body model at different *** the on-body performance parameter results are compared and analyzed with free space performance parameter ***,by changing patch slot length and ground plane length,parametric studies were done for performance *** to this research,it is noticed that the antenna is tiny and *** shows good performance in body case as ***,the antenna is very suitable for healthcare applications.

关键词： Band notch compact size ultra wide band antenna novel antenna on-body body-centric communications computer simulation technology(CST)

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