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Efficient Path Planning for Emergency Medical Services With Stable Connectivity Demands

Efficient Path Planning for Emergency Medical Services With ...

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2024 IEEE Global Communications Conference, GLOBECOM 2024

作者： Liu, Wen-Pin Hu, Xuan-Zhang Nguyen, Van-Linh Nguyen, Lan-Huong Hwang, Ren-Hung Dept. of Computer Science and Information Engineering Chiayi Taiwan College of Artificial Intelligence Taiwan

ISBN: (纸本)9798350351255

Currently, online map navigation applications are essential to our daily demands, such as route finding in a big city or booking a taxi trip. Further, the applications also play a pivotal role in finding access to the nearest medical aid in big cities with complex traffic networks. However, existing commercial map programs are unable to provide route suggestions in areas where a continuous network connection is assured, which is essential for distant emergency medical services. This study introduces a highly effective personalized shortest-path algorithm for finding the fastest path of.an emergency vehicle (EV) while also ensuring stable network connections for potential remote robotic surgery. By using a customized A-star algorithm, the experimental findings demonstrate that this technique can outperform current search approaches with a 5% shorter path length per 5km. For rescue missions in a large city, the enhancement is remarkable and has the potential to save lives. Due to high compatibility with the existing search algorithms, this method can easily be included as a critical feature for existing commercial map apps. © 2024 IEEE.

关键词： Robotic surgery

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A Multi-Routing Paths' Exploration Algorithm for Multi-paired Communicating Vehicles' Data Transmission of.loading using the Multi-access Edge Computing Architecture 4

A Multi-Routing Paths' Exploration Algorithm for Multi-paire...

引用

4th European Conference on Communication Systems, ECCS 2024

作者： Huang, Chung-Ming Tsai, Cheng-Han National Cheng Kung University Dept. of Computer Science and Information Engineering Tainan Taiwan

ISBN: (纸本)9798350377927

This work proposed a novel method for multiple communicating paired vehicles' data transmission of.loading using the Multi-access Edge Computing (MEC) technique. When two paired communicating vehicles are communicating with each other through cellular network's Base Stations (BSs), the data transmission can be of.loaded to the Cellular Vehicle-to-Vehicle (C-V2V) path that exists between these two vehicles using 5G NR's sidelink communication;these two paired communicating vehicles can switch back to the Cellular Vehicle-to-Infrastructure (C-V2I) communication to communicate with each other when the corresponding C-V2V path is broken. Using the proposed method, the MEC architecture serves as a centralized computing mechanism to determine the availability of.k-hop C-V2V paths for paired communicating vehicles' data transmission of.loading. Each vehicle periodically reports its context, such as position, speed, driving direction, and C-V2V sidelinks' Channel Busy Ratios (CBRs), to the MEC server to derive feasible k-hop C-V2V data transmission of.loading paths. The simulation result demonstrates that the proposed method has (i) better throughput compared to the method of.relying solely on C-V2I communication through BSs and (ii) better throughput, higher of.loading fraction and lower average data loss rate comparing with the other k-hop-limited CV2V data transmission of.loading method. © 2024 IEEE.

关键词： Edge computing

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Reviewlogy: An Interface for Analyzing Sentiments 3

Reviewlogy: An Interface for Analyzing Sentiments

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3rd IEEE World Conference on Applied Intelligence and Computing, AIC 2024

作者： Shyam, Radhey Khanna, Shilpi Srivastava, Kavya Srivastava, Ajay Kumar Chaudhary, Ishika Bbd University Dept. of Computer Science & Engineering Lucknow India Srmcem Dept. of Information Technology Lucknow India

ISBN: (纸本)9798350384598

This paper investigates the impact of.early reviews on product sales by analyzing the traits of.initial reviewers on major e-commerce platforms. It segments product life-cycles into three phases: early, majority, and laggards, focusing on early reviewers who post reviews during the initial stages. The paper introduces an innovative interface for sentiment analysis to identify and predict early reviewers. Quantitative analysis reveals that early reviewers of.en provide more insightful comments and give higher overall ratings. Their ratings and helpfulness scores significantly affect product popularity. The methodology, tested on extensive datasets from Amazon and Yelp, extracts crucial attributes of.early reviewers, including purchasing patterns and social impact. The interface employs a hybrid machine learning approach combining Naive Bayes, margin-based embedding ranking models (MERM), and support vector machines (SVMs) to predict potential early reviewers accurately. This approach balances probabilistic reasoning with robust classification, ensuring comprehensive forecasting. Evaluation metrics such as precision and accuracy demonstrate the effectiveness of.the models over baseline methods. Furthermore, the study enhances the understanding of.how early reviews influence consumer behavior and product success in e-commerce. The interface aids in refining product marketing strategies by enabling precise targeting of.early reviewers, accelerating product adoption, amplifying sales, and optimizing marketing tactics in the competitive e-commerce landscape. © 2024 IEEE.

关键词： Support vector machines

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Skyline Algorithm based on QoS to improve Web Services: A Review 6

Skyline Algorithm based on QoS to improve Web Services: A Re...

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6th Parul International Conference on engineering and Technology, PICET 2024

作者： Barge, Yamini Patel, Tanvi Purohit, Lalit Dept. of Computer Science Engineering Parul University Vadodara India Dept. of Information Technology SGSITS Indore India

ISBN: (纸本)9798350369748

The popularity of.Web Service-based systems is due to the advantage of.flexibility, reusability and support for rapid system development. Web Service selection is a very important step for these web service-based systems. The skyline technique is widely used in the past for the selection of.web services. In this work, an exhaustive study of.Skyline-based web service selection techniques is presented. A review of.the existing state-of.the-art is presented based on the approach followed for selection of.web services, the advantages of.using the proposed approach, the limitations of.the approach and the problem addressed. © 2024 IEEE.

关键词： Web services

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Recognition of.Fingerprint Images using CNN for Cybercrime Detection System 2

Recognition of Fingerprint Images using CNN for Cybercrime D...

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2nd IEEE International Conference on Networks, Multimedia and information Technology, NMITCON 2024

作者： Kavitha, T. Patil, Bhimaraya Saraswathi, S. Rajarajeswari, S. Patil, Anita New Horizon College of engineering Dept. of Computer Engineering Bangalore India Sri Sivasubramaniya Nadar College of Engineering Dept. of Computer Science Engineering Chennai India Vellore Institute of Technology School of computer science and engineering Vellore India City Engineering College Dept. of Information Science Bengaluru India

ISBN: (纸本)9798350372892

Fingerprint identification plays a crucial role in crime detection, but manual analysis is time-consuming and error-prone. This research aims to develop an automated system for accurate and efficient fingerprint matching using machine learning. The proposed approach involves image acquisition, preprocessing, feature extraction, and classification. Fingerprint images are enhanced, binarized, and segmented. Minutiae (ridge endings and bifurcations) are extracted as features. A convolutional neural network (CNN) is trained on a dataset of.fingerprint images for classification. By comparing algorithms, Random Forest achieved over 8 1 % accuracy, outperforming Decision Trees (nearly 75% accuracy). The trained CNN model can accurately match fingerprints from crime scenes with potential suspects, providing reliable evidence. The developed system of.ers law enforcement agencies an automated and accurate fingerprint identification tool, improving crime-solving efficiency and reducing manual effort. The proposed approach showcases the potential of.machine learning in forensic applications. © 2024 IEEE.

关键词： Random forests

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Priority-Considered Channel Access for Registration-Backof.-Time (RBT) -based IEEE 802.11ah IOT Network 17

Priority-Considered Channel Access for Registration-Backoff-...

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IEEE Congress on Cybermatics: 17th IEEE International Conference on Internet of.Things, iThings 2024, 20th IEEE International Conference on Green Computing and Communications, GreenCom 2024, 17th IEEE International Conference on Cyber, Physical and Social Computing, CPSCom 2024, 10th IEEE International Conference on Smart Data, SmartData 2024

作者： Huang, Chung-Ming Chen, Chia-Hsiang Ma, Jianhua National Cheng Kung University Dept. of Computer Science and Information Engineering Tainan Taiwan Hosei University Faculty of Computer and Information Science Tokyo Japan

ISBN: (纸本)9798350351637

This work devises a High Priority Reservation - centric Registered Backof. Time -based (HPR-RBT) channel access method to enhance the performance of.IEEE 802.11ah IoT network. The proposed HPR-RBT method allows the STAs that have high priority's uplinked data to reserve, which is through the claiming action, the privilege of.channel access. HPR-RBT adopts the Trigger RAW mode of.IEEE 802.11ah and the RBT mechanism. In HPR-RBT, the Restricted Access Window (RAW) of.IEEE 802.11ah is divided into (1) a claiming RAW that contains multiple claiming slots and (2) a data RAW that contains multiple data slots. Each claiming slot is further divided into many tiny slots, each of.which is for one STA to claim its channel access's reservation for its high priority's uplinked data. Each data slot is further divided into a scheduled sub-slot, in which the channel access of.the high priority's uplinked data is scheduled, and an unscheduled sub-slot, in which the channel access of.the regular priority's uplinked data is allowed. Furthermore, this work proposes a grouping mechanism to balance the load of.high priority's uplinked data across RAW's data slots to prevent excessive high priority's uplinked data in any particular RAW's data slot. Through the grouping mechanism, the IEEE 802.11ah Access Point (AP) can assign the data slot that has the lowest load of.high priority's uplinked data to a newly associated STA of.the AP. Comparing with the legacy 802.11ah method, the experiment result shows that the proposed HPR-RBT method has (i) the shorter transmission latency and (ii) the better throughput when the number of.STA becomes bigger. © 2024 IEEE.

关键词： Internet of.things

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Relaxing Super Localization Frame Rate Requirements Utilizing a Novel 2D Interpolation Technique

Relaxing Super Localization Frame Rate Requirements Utilizin...

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2023 IEEE International Ultrasonics Symposium, IUS 2023

作者： Tuccio, Giulia Afrakhteh, Sajjad Iacca, Giovanni Demi, Libertario University of Trento Dept. of Information Engineering and Computer Science Italy

ISBN: (纸本)9798350346459

Ultrasound Localization Microscopy (ULM) by-passes the conventional diffraction limit, allowing the imaging of.the vasculature at a microscopic resolution through precise localization of.intravenously injected microbubbles. Thanks to their resolution, ULM generated images hold the promise to be the next diagnostic frontier for diseases that modify the vascular structure, such as cancer. However, deploying ULM in clinical settings is currently limited by the prolonged acquisition times and high frame rates needed. To relax the high frame rate requirement, we propose a new time-efficient ULM (TEULM) pipeline. The proposed TEULM introduces the radial basis functions (RBFs) as interpolators upstream of.the ULM framework, to recover the missing information consequence of.a reduced frame rate. We test TEULM using in vivo Rat's Brain and Kidney datasets acquired at a high frame rate (1 KHz). The results confirm the ability of.TEULM to reconstruct super-resolution (SR) images with a similarity score (Dice score) of.80% for both datasets when simulating a frame rate acquisition of.100 Hz;i.e., we can relax the frame rate requirement for ULM by a factor 10 while keeping the SR image quality acceptable. © 2023 IEEE.

关键词： Interpolation

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Oversample minority classes in Lung Ultrasound using Generative Adversarial Network

Oversample minority classes in Lung Ultrasound using Generat...

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2023 IEEE International Ultrasonics Symposium, IUS 2023

作者： Fatima, Noreen Mento, Federico Demi, Libertario University of Trento Dept. of Information Engineering and Computer Science Italy

ISBN: (纸本)9798350346459

The development of.a strong methodological strategy focusing on class imbalance issues for Lung Ultrasound (LUS) data is lacking in the state of.the art. Traditional oversampling methods such as geometric and affine transformations generate quasi-duplicates of.the original data. This problem could be resolved through generative adversarial networks (GANs). However, in classic GANs the generator cannot handle mode collapse issues and the model's performance remains unstable when images in different classes look similar. To address this problem, we proposed a novel approach based on a supervised autoencoder generative adversarial network (SA-GAN), which could help to oversample the minority classes. At first, we build a latent space with the help of.a supervised autoencoder (SA) to handle the mode collaspe issues. Then the trained weights of.the SA are used to construct the generator and discriminator models. During the adversarial training of.both models, the loss function is calculated for real and generated images through a customized gradient penalty loss function. This also allows classifying each image into real or generated, and its corresponding classes. This approach was tested on a dataset comprising 5500 LUS images, which were collected from 35 COVID-19 patients. As a result, SA-GAN provided the 900 generated LUS samples in minority classes to balance with the majority class. The proposed approach significantly improved the classification accuracy by up to 5% using synthetic augmentation through SA-GAN over the classic data augmentation method. © 2023 IEEE.

关键词： Generative adversarial networks

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High Contrast and High Frame Rate Coherent Plane Wave Compounding by Means of.2D Spatio-Angular Interpolation Technique

High Contrast and High Frame Rate Coherent Plane Wave Compou...

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2023 IEEE International Ultrasonics Symposium, IUS 2023

作者： Afrakhteh, Sajjad Iacca, Giovanni Demi, Libertario University of Trento Dept. of Information Engineering and Computer Science Italy

ISBN: (纸本)9798350346459

To address the low image quality issue in plane wave imaging (PWI), coherent plane-wave compounding (CPWC) was developed based on PWI along multiple directions followed by a coherent combination of.the beamformed images. The main challenge with this approach is that there is a trade-of. between image quality and frame rate which depends on how many angles are used in CPWC. Our primary goal here is to improve this trade-of. by decreasing the number of.angles required for image reconstruction. Here, we propose a sparse CPWC using a robust transmission coding pattern (TCP) followed by applying 2D spatio-angular interpolation. This idea allows us to improve the frame rate while preserving the image quality. We apply our proposed technique to the plane wave imaging challenge in the medical ultrasound (PICMUS) database. Results show that we can achieve a 3-fold frame rate improvement while preserving image quality. © 2023 IEEE.

关键词： Beamforming

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2D/3D Echocardiography Frame Rate Enhancement by Means of.a Novel Spatio-Temporal Reconstruction Technique

2D/3D Echocardiography Frame Rate Enhancement by Means of a ...

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2023 IEEE International Ultrasonics Symposium, IUS 2023

作者： Afrakhteh, Sajjad Iacca, Giovanni Demi, Libertario University of Trento Dept. of Information Engineering and Computer Science Italy

ISBN: (纸本)9798350346459

Frame rate, i.e., the number of.frames displayed per second, is a crucial aspect in ultrasound imaging. Increasing the frame rate is required in echocardiography because it helps clinicians assess faster heart movements, especially in the valves. Higher frame rates are needed to capture the mechanical characteristics or transitory events of.the heart, especially in 3-dimensional (3D) echocardiography. The main objective of.this study is to propose a solution for increasing the frame rate of.2D/3D echocardiography. To this end, we propose a post-processing technique based on a novel 2D spatio-temporal interpolation to increase the frame rate. We utilize radial basis functions (RBF) to perform the interpolation. More precisely, we propose a novel intensity variation time surface (IVTS) approach to integrate both temporal and spatial information into the reconstruction. We apply the proposed technique to 2D and 3D echocardiography datasets at the radio frequency (RF) level of.the post-processing stage for different down-sampling (DS) rates. The results demonstrate that we can increase the frame rate of.2D/3D echocardiography by a factor 4 while preserving a structural similarity (SSIM) index greater than 0.96 and 0.87, respectively for 2D and 3D imaging. © 2023 IEEE.

关键词： Interpolation

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