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EEG-Based Stress Assessment During Robot Assisted Surgery. Comparison of Statistical Methods with Machine Learning

EEG-Based Stress Assessment During Robot Assisted Surgery. C...

Metrology for Extended Reality, Artificial Intelligence and Neural engineering (MetroXRAINE), IEEE International Conference on

作者： Pasquale Arpaia Irene Del Chicca Matteo De Luca Ludovica Gargiulo Giovanna Mastrati Nicola Moccaldi Elisa Morganti Marco Nalin Mauro Picciafuoco Francesca Pierro Filippo Rigoni Riccardo Rigoni Dep. of Electrical Engineering and Information Technology (DIETI) University of Naples Federico II Naples Italy ab medica S.p.A. Cerro Maggiore MI Italy Dep. of Electronics Information and Bioengineering (DEIB) Polytechnic University of Milan Milan Italy Dep. of Computer Science (D-INFK) ETH Zurich Zurich Switzerland

ISBN: (数字)9798350378009

ISBN: (纸本)9798350378016

This study proposes a adaptive pipeline (feature extraction, feature selection, and classification) for the processing of electroencephalographic (EEG) signals to assess Mental Workload (MWL) during training sessions with a surgical robot. Unlike previous studies in this field, EEG signals were acquired by a dry eight-electrode device to maximize usability and comfort for the users. Fourteen medical students were EEG monitored while performing four different tasks on a simulation platform incorporated into the Da Vinci System. The proposed pipeline was compared with typical machine-learning approaches based on handcraft feature extraction approaches. The results confirmed the effectiveness of the proposed solution as a further contribution to EEG-based monitoring of robotic surgery for adaptive training.

关键词： Training Medical robotics Pipelines Surgery Machine learning Feature extraction Electroencephalography Biomedical monitoring Usability Monitoring

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Parallel and hierarchically-distributed Shoreline Alert Model (SAM)

Parallel and hierarchically-distributed Shoreline Alert Mode...

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Euromicro Conference on Parallel, Distributed and Network-Based Processing

作者： Ciro Giuseppe de Vita Gennaro Mellone Aniello Florio Catherine Alessandra Torres Charles Diana Di Luccio Marco Lapegna Guido Benassai Giorgio Budillon Raffaele Montella Dep. of Science and Technologies University of Naples “Parthenope” Naples Italy Dep. of Computer Science and Engineering University of Madrid Carlos III Madrid Spain Dept. of Mathematics and Applications University of Naples “Federico II” Naples Italy

In this paper, the Shoreline Alert Model (SAM) is presented as a component of a computation platform based on workflows dedicated to extreme weather/marine event simulation. The model aims to mitigate the effects of global change by providing decision-makers, scientists, and engineers with a novel, next-generation tool set for facing extreme weather events and implementing related management or emergency responses. SAM uses a parallelization schema, allowing users to run it on heterogeneous parallel architectures. As a result, SAM produces approximately 24 times faster results than the baseline when using shared memory with distributed memory and dealing with about 20,000 transects along the Campania coastline. The system is based on the algorithms of the open-source numerical models WRF (Weather Research and Forecasting) and WW3 (Wave-watch III) implemented with refraction and shoaling routines together with run-up equations to form the modeling chain used for coastal flooding assessment.

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A Proposed Approach for Risk Planning and Management

A Proposed Approach for Risk Planning and Management

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Information Technology (ACIT)

作者： Mohammed N. Al Refai Yazan Al-Smadi Adai Al-Momani Zeyad M. Jamhawi Ahmed Ali Otoom Issa Atoum Ahid Yaseen Jafar Ababneh Mohammad Kanan Software Engineering Dep. Zarqa University Zarqa Jordan Department of Computer Science Zarqa University Zarqa Jordan Department of Computer Science Applied Science Private University Amman Jordan Department of Cyber Security Applied Science Private University Amman Jordan Software Engineering Department Faculty of Information Technology Philadelphia University Jordan Department of Cyber Security Zarqa University Zarqa Jordan Dep. of Industry Engineering University of Business and Technelogy Jeddah Saudi Arabia

ISBN: (数字)9798331540012

ISBN: (纸本)9798331540029

Project Risk management is the process of identifying, evaluating, avoiding, or reducing risks. Where there is no software project without risks existence are natural in the context of project planning and management. This study focuses on proposing an enhanced risk management approach where testing phases were added to make the risk management process more effective by proposing solutions to many mistakes and challenges that occur through dealing with risks. The proposed approach focuses on dealing with risks that cannot be easily defined, more accurate risk evaluation, planning, and managing risk coordinated with a contingency plan.

关键词： Technological innovation Accuracy Contingency management Process control Software Planning Risk management Information technology Testing

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A Novel Gpu-Based Approach for Embedded Narmax/Frols System Identification

SSRN

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SSRN 2023年

作者： Soudré, Marlon Marques Ayala, Helon Vicente Hultmann Melo, Alba Cristina M.A. Llanos, Carlos H. University of Brasilia Dep. of Mechanical Engineering DF Brasilia70910-900 Brazil Pontifical Catholic University of Rio de Janeiro Dep. of Mechanical Engineering RJ Rio de Janeiro22231-180 Brazil University of Brasilia Dep. of Computer Science DF Brasilia70910-900 Brazil

Identifying system dynamics is an essential task for several research areas that deal with real systems intended for purposes such as control, monitoring, or fault detection. However, the nonlinear characteristics of most real systems have led to the development of techniques with high computational complexity, which can make their use unfeasible in systems with restrictions, such as embedded systems. In this case, few studies have been done on how best to map nonlinear system identification techniques to embedded system platforms which may have parallelism capabilities, such as those incorporating GPUs. This work proposes a novel software architecture for parallel model term selection and estimation for Nonlinear AutoRegressive Moving Average with eXogenous inputs (NARMAX) models, addressed to GPU-based embedded platforms. Namely, we devise a new parallel strategy to perform Forward Regression Orthogonal Least Squares (FROLS) in nonlinear black-box system identification. The architecture presented was tested in the new NVIDIA Jetson Developer Kit, which contains a 128-core Maxwell-GPU, and compared to serial versions of the algorithm run in standard Intel Core i7 CPU and ARM A57. Using a theoretical example, we defined a parallelization strategy and validated it with an electro-mechanical positioning system representing time-invariant nonlinear systems. As a result, the time spent in the proposed parallel GPU algorithm is more than 24.5x faster, and the energy-efficiency is 22x better if compared to its serial version. This represents a significant improvement in speedup and energetic demand, allowing NARMAX/FROLS models to be constructed in real-time using low-cost and low-power embedded platforms. © 2023, The Authors. All rights reserved.

关键词： Electric power utilization

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Deep Learning Technique for Real-Time Forest Fire Detection from Video Streams

Deep Learning Technique for Real-Time Forest Fire Detection ...

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Intelligent Systems and Embedded Design (ISED), International Conference on

作者： Nidhi Gupta Sujata Chakravarty Satyabrata Dash Dept. of Computer Science & Engineering Centurion University of Technology & Management Odisha India Dep. of Computer Science and Engineering Gandhi Institute of Technology & Management (GITAM Deemed to be University) Andhra Pradesh India

Forest fires are currently the most common issue that we are dealing with. The resources that have been lost are irreplaceable. Forest fires are uncontrollable fires that occur in nature as a result of human involvement or any other natural event. Forest fires can be so large that putting them out takes a long time. Contrasting with previous years, there has been a striking surge in the frequency of forest fires. Changes in climatic conditions are the key factor affecting the scope of forest fires. Long dry spells in the spring and summer make the woodlands particularly vulnerable. The extent of forest fires is mostly determined by weather conditions such as precipitation and wind, as well as the terrain's architecture. Long dry spells in the spring and summer make the woodlands particularly vulnerable. The extent of forest fires is mostly determined by weather conditions such as precipitation and wind, as well as the terrain's architecture. The incorporation of a Video Fire Detection model significantly enhances the efficiency of fire detection systems, particularly in large spaces. Establishing a video fire detection system involves focusing on spatial, spectral, and temporal indicators, as well as flame picture segmentation, recognition, tracking, and prediction. Analytical techniques, specifically utilizing ResNet50 and VGG16 models, can be applied to identify pool fire images through these segmentation processes, contributing to more robust fire detection capabilities.

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Approaches to Quantum Remote Memory Attestation

arXiv

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arXiv 2025年

作者： Laeuchli, Jesse Rasua, Rolando Trujillo The School of Computer Science and Engineering UNSW Sydney Sydney Australia The Dep. Enginy. Informàtica i Matemàtiques Rovira i Virgili University Tarragona Spain

In this article we uncover flaws and pitfalls of a quantum-based remote memory attestation procedure for Internet-of-Things devices. We also show limitations of quantum memory that suggests the attestation problem for quantum memory is fundamentally different to the attestation problem for classical memory, even when the devices can perform quantum computation. The identified problems are of interest for quantum-based security protocol designers in general, particularly those dealing with corrupt devices. Finally, we make use of the lessons learned to design a quantum-based attestation system for classical memory with improved communication efficiency and security. © 2025, CC BY.

关键词： Quantum computers

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PDU Set-Based Traffic Handling for XR Service Support in 5G User Plane

PDU Set-Based Traffic Handling for XR Service Support in 5G ...

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International Conference on Information and Communication Technology Convergence (ICTC)

作者： Yeunwoong Kyung Donghun Lee Jaewook Lee Haneul Ko Seungmin Oh Jaehwan Lee Youngjun Kim Div. of Info. & Comm. Eng. Kongju National University Cheonan Korea Dep. of Info. and Comm. Engineering Pukyong National University Busan Korea Dep. of Electronic Eng. Kyung Hee University Yongin-si Korea Dep. of Computer Science and Eng. Kongju National University Cheonan Korea School of Computer Science and Eng. Kyungnam University Changwon Korea

ISBN: (数字)9798350364637

ISBN: (纸本)9798350364644

To support XR services, the 3GPP standards intro-duce a protocol data unit (PDU) set, which is the minimum group of packets needed to carry a video frame, and also define the relative importance of different PDU sets. This allows the network operator to handle network traffic based on the importance of PDU sets. 3GPP standards define two options for PDU set-based traffic handling in the user plane: 1) gNB-based and 2) UPF-based. This paper introduces a basic concept of PDU set and specifies two procedures for PDU set-based traffic handling in the user plane.

关键词： 3GPP Standards Protocols 5G mobile communication Telecommunication traffic Information and communication technology Convergence

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Standardization Review on 5G LAN-Type Service

Standardization Review on 5G LAN-Type Service

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International Conference on Information and Communication Technology Convergence (ICTC)

作者： Yeunwoong Kyung Donghun Lee Jaewook Lee Youngjun Kim Haneul Ko Seungmin Oh Jaehwan Lee Div. of Info. & Comm. Eng. Kongju National University Cheonan Korea Dep. of Info. and Comm. Engineering Pukyong National University Busan Korea School of Computer Science and Eng. Kyungnam University Changwon Korea Dep. of Electronic Eng. Kyung Hee University Yongin-si Korea Dep. of Computer Science and Eng. Kongju National University Cheonan Korea

ISBN: (数字)9798350364637

ISBN: (纸本)9798350364644

The 5G LAN-type service refers to a service that supports communication between users within a group through the 5G system. It provides functions similar to those of traditional Local Area Networks (LAN) or Virtual Private Networks (VPN), but it gains attention across various services due to the enhanced performance of 5G such as high throughput, low latency, mobility management, and security. The 3rd Generation Partnership Project (3GPP) introduced the 5G LAN-type service in Release 16 and defined the architecture, protocols, and requirements to support the 5G LAN-type service. In this paper, we briefly examine the architecture and components of the 5G network based on the 3GPP standard and introduce the structure and protocols for supporting 5G LAN-type services in a 5G network.

关键词： Protocols 5G mobile communication Robot control Standardization Throughput Virtual private networks Security 3GPP Low latency communication Local area networks

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Solving the vehicle routing problem with deep reinforcement learning

arXiv

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arXiv 2022年

作者： Foà, Simone Coppola, Corrado Grani, Giorgio Palagi, Laura Sapienza University of Rome Dep. of Computer Science Control and Management Engineering Rome Italy Sapienza University of Rome Dep. of Statistical Science Rome Italy

Recently, the applications of the methodologies of Reinforcement Learning (RL) to NP-Hard Combinatorial optimization problems has become a popular topic. This is essentially due to the nature of the traditional combinatorial algorithms, often based on a trial-and-error process. RL aims at automating this process. At this regard, this paper focuses on the application of RL for the Vehicle Routing Problem (VRP), a famous combinatorial problem that belongs to the class of NP-Hard problems. In this work, as first, the problem is modeled as a Markov Decision Process (MDP) and then the PPO method (which belongs to the Actor-Critic class of Reinforcement learning methods) is applied. In a second phase, the neural architecture behind the Actor and Critic has been established, choosing to adopt a neural architecture based on the Convolutional neural networks, both for the Actor and the Critic. This choice resulted effective to address problems of different sizes. Experiments performed on a wide range of instances show that the algorithm has good generalization capabilities and can reach good solutions in a short time. Comparisons between the algorithm proposed and the state-of-the-art solver OR − TOOLS show that the latter still outperforms the Reinforcement learning algorithm. However, there are future research perspectives, that aim to upgrade the current performance of the algorithm *** Codes 90-08 © 2022, CC BY.

关键词： Reinforcement learning

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Experimental Comparison of Global Planners for Trajectory Planning of Mobile Robots in an Unknown Environment with Dynamic Obstacles

Experimental Comparison of Global Planners for Trajectory Pl...

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Human-computer Interaction, Optimization and Robotic Applications (HORA), International Congress on

作者： Zehra Tüfekçi Gökhan Erdemir Department of Computer Engineering Istinye University İstanbul Turkiye Department of Computer Science and Engineering Istanbul Sabahattin Zaim University Dep. of Engineering Management & Technology University of Tennessee at Chattanooga Tennessee USA

Interacting with their workspace, detecting obstacles, and real-time path planning in the field to reach the goal in the unknown environment are current working areas of mobile robotics. Working in an unknown environment with dynamic obstacles is a challenging topic for autonomous robots, which need to protect themselves from the dynamic obstacles they encounter, not damage the obstacle, and re-plan their path according to their new position. This study performed an experimental comparison of three different global planners for trajectory planning of mobile robots in an unknown environment with dynamic obstacles. Global Planner, Carrot Planner, and NavfnROS planners in the ROS package were used as global planners in two different mazes with dynamic obstacles. The durations from the start to the goal point in the two designed environments were determined for each global planner.

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