检索结果-内蒙古大学图书馆

Investigating the effects of embodiment on presence and perception in remote physician video consultations: a between-participants study comparing a tablet and a telepresence robot

引用

i-com 2025年第1期24卷 213-226页

作者： Schulz, Dominik Unbehaun, David Doernbach, Tobias Clausthal University of Technology Computer Science Institute Clausthal-Zellerfeld Germany Ostfalia University of Applied Sciences Human-Centered Robotics Lab Wolfenbuettel Germany

Increasing life expectancy and low birth rates have led to a larger aging population requiring more care, especially in rural areas. Information and communications technology may enhance older adults' quality of life and digital health services. Assistive robotic systems, especially telepresence robots, are increasingly used in healthcare. These robots represent a significantly higher embodiment level than tablets, as they can provide the remote person with an additional body. This work explores the effects of different embodiment levels in video consultation, focusing on Presence and Perception from a Human-computer Interaction (HCI) perspective. For this purpose, between-participants experiments were conducted in which 18 participants assumed the role of the patient and engaged in a video consultation with a remote, medically experienced person acting as the physician. A shortened medical check-up simulated the real assessment. Qualitative and quantitative data were collected during and after the experiment focusing on presence and interaction. Results show no significant influence of embodiment level in a video consultation from a HCI perspective. However, a trend towards more natural communication with stronger embodiment was observed, suggesting it may positively influence interaction. © 2025 the author(s), published by De Gruyter, Berlin/Boston.

关键词： Electronic health record

来源：评论

学校读者我要写书评

暂无评论

Teamwork Makes the Dream Work: A Virtual Reality-based Human-Robot Collaboration Sandbox Simulating Multiple Teams 6

Teamwork Makes the Dream Work: A Virtual Reality-based Human...

引用

6th IEEE International Conference on Artificial Intelligence and eXtended and Virtual Reality, AIxVR 2024

作者： Arntz, Alexander Di Dia, Agostino Riebner, Tim Strasmann, Carolin Eimler, Sabrina C. University of Applied Sciences Institute of Computer Science West Ruhr Bottrop Germany

ISBN: (纸本)9798350372021

We present a virtual reality-based Human-Robot Collaboration sandbox that allows the representation of multiple teams composed of humans and robots. Within the sandbox, virtual robots and humans can collaborate with their respective partners and interact with other teams to coordinate the required procedures while accomplishing a shared task. For this purpose, the virtual reality sandbox is equipped with a variety of interaction mechanics that enable a range of different shared tasks. The network integration allows for multiple users within the virtual environment. The VR application contains a library of different industrial robots that can act autonomously controlled by machine learning agents and interact with the user through verbal commands. The sandbox is specifically designed to serve as a research tool to explore new concepts and validate existing approaches in the domain of Human-Robot Collaboration involving autonomous robots in a series of upcoming studies. © 2024 IEEE.

关键词： Industrial robots

来源：评论

学校读者我要写书评

暂无评论

SynDronevision: A Synthetic Dataset for Image-Based Drone Detection

SynDroneVision: A Synthetic Dataset for Image-Based Drone De...

引用

2025 IEEE/CVF Winter Conference on Applications of computer vision, WACV 2025

作者： Lenhard, Tamara R. Weinmann, Andreas Franke, Kai Koch, Tobias Germany University of Applied Sciences Darmstadt Working Group Algorithms for Computer Vision Imaging and Data Analysis Germany

ISBN: (纸本)9798331510831

Developing robust drone detection systems is often constrained by the limited availability of large-scale annotated training data and the high costs associated with real-world data collection. However, leveraging synthetic data generated via game engine-based simulations provides a promising and cost-effective solution to overcome this issue. Therefore, we present SynDronevision, a synthetic dataset specifically designed for RGB-based drone detection in surveillance applications. Featuring diverse backgrounds, lighting conditions, and drone models, SynDronevision offers a comprehensive training foundation for deep learning algorithms. To evaluate the dataset's effectiveness, we perform a comparative analysis across a selection of recent YOLO detection models. Our findings demonstrate that SynDronevision is a valuable resource for real-world data enrichment, achieving notable enhancements in model performance and robustness, while signifcantly reducing the time and costs of real-world data acquisition. SynDronevision can be accessed at https://***/records/13360116. © 2025 IEEE.

关键词： Deep learning

来源：评论

学校读者我要写书评

暂无评论

A Novel Optimized Deep Convolutional Neural Network for Efficient Seizure Stage Classification

引用

computers, Materials & Continua 2024年第12期81卷 3903-3926页

作者： Umapathi Krishnamoorthy Shanmugam Jagan Mohammed Zakariah Abdulaziz S.Almazyad K.Gurunathan Department of Biomedical Engineering KIT-Kalaignarkarunanidhi Institute of TechnologyCoimbatore641402India Department of Computer Sciences and Engineering Vel Tech Rangarajan Dr.Sagunthala R&D Institute of Science and TechnologyChennai600062India Department of Computer Sciences and Engineering College of Applied ScienceKing Saud UniversityRiyadh11543Saudi Arabia Department of Computer Engineering College of Computer and Information SciencesKing Saud UniversityRiyadh11543Saudi Arabia Department of Computer Science and Engineering Mount Zion College of Engineering and TechnologyPudukkottai622507India

Brain signal analysis from electroencephalogram(EEG)recordings is the gold standard for diagnosing various neural disorders especially epileptic *** signals are highly chaotic compared to normal brain signals and thus can be identified from EEG *** the current seizure detection and classification landscape,most models primarily focus on binary classification—distinguishing between seizure and non-seizure *** effective for basic detection,these models fail to address the nuanced stages of seizures and the intervals between *** identification of per-seizure or interictal stages and the timing between seizures is crucial for an effective seizure alert *** granularity is essential for improving patient-specific interventions and developing proactive seizure management *** study addresses this gap by proposing a novel AI-based approach for seizure stage classification using a Deep Convolutional Neural Network(DCNN).The developed model goes beyond traditional binary classification by categorizing EEG recordings into three distinct classes,thus providing a more detailed analysis of seizure *** enhance the model’s performance,we have optimized the DCNN using two advanced techniques:the Stochastic Gradient Algorithm(SGA)and the evolutionary Genetic Algorithm(GA).These optimization strategies are designed to fine-tune the model’s accuracy and ***,k-fold cross-validation ensures the model’s reliability and generalizability across different data *** and validated on the Bonn EEG data sets,the proposed optimized DCNN model achieved a test accuracy of 93.2%,demonstrating its ability to accurately classify EEG *** summary,the key advancement of the present research lies in addressing the limitations of existing models by providing a more detailed seizure classification system,thus potentially enhancing the effectiveness of real-time seizure prediction and management systems in clinic

关键词： Bonn EEG dataset cross-validation genetic algorithm batch normalization seizure classification stochastic gradient

来源：评论

学校读者我要写书评

暂无评论

Enhancing Missing Data Imputation for Migrants Data: A Neutrosophic Set-Based Machine Learning Approach

引用

Neutrosophic Sets and Systems 2025年 81卷 479-502页

作者： Abdo, Doaa A. Salama, A.A. Abdelmegaly, Alaa A. Mahmoud, Hanan Khadari Mahdi Applied statistics and insurance department faculty of commerce Mansoura university Mansoura Egypt Dept. of Math and Computer Sci. Faculty of Science Port Said Univ. Egypt Higher Institute of Advanced Management Sciences and Computers Al-Buhayrah Egypt Depatrment of applied statistics at the Nile Higher Institute of commercial sciences and Computer Technology in Mansoura Egypt

This study tackles the problem of missing data in migrant datasets by introducing a new framework that combines machine learning techniques with neutrosophic sets. These sets, which can represent uncertainty and ambiguity, are well-suited for managing the complex nature of missing information in sensitive fields like migration research. We test the effectiveness of KNN, SVM, decision tree, random forest, and Ada Boost algorithms on a migrant dataset, comparing their results using different imputation methods (mean/mode, model-based imputer (simple tree), and random values). Our research showed that our proposed approach, which used neutrosophic sets, improved imputation accuracy and strengthened model reliability. Our results underscored the potential of neutrosophic set-based machine learning for addressing missing data issues across various fields. © 2025, University of New Mexico. All rights reserved.

关键词： Adversarial machine learning

来源：评论

学校读者我要写书评

暂无评论

Towards Website X-Ray for Europe’s Municipalities: Unveiling Digital Transformation with Multimodal Embeddings 26th

Towards Website X-Ray for Europe’s Municipalities: Unveili...

引用

26th International Conference on Information Integration and Web Intelligence, iiWAS 2024

作者： Gerber, Jonathan Kreiner, Bruno Saxer, Jasmin Weiler, Andreas Institute of Computer Science Zurich University of Applied Sciences Technikumstrasse 9 Winterthur8401 Switzerland

ISBN: (纸本)9783031780899

Local governments are going digital! To track their progress, researchers want to analyze their websites. This study explores finding these websites and understanding their content. Three methods for website discovery were compared, with search engines providing the most results. Different techniques to embed websites were also tested, comparing them by cluster analysis and performance. Homepage2Vec, which analyzes both text and visuals, performed best. This approach seems promising for monitoring European local government websites, but Homepage2Vec’s use of visuals needs further exploration. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2025.

关键词： cluster analysis data source evaluation website embedding

来源：评论

学校读者我要写书评

暂无评论

Technology for Robust, Low-Latency Frequency and Phasor Estimation and Evaluation with a Real HV Short-Circuit Event

Technology for Robust, Low-Latency Frequency and Phasor Esti...

引用

CIRED 2024 Vienna Workshop

作者： Bumiller, Gerd Institute of Computer Science Hochschule Ruhr West University of Applied Sciences Bottrop Germany

ISBN: (纸本)9781837242672

With the increasing share of decentralized generation, the handling of faults requires additional attention, which is why fault-ride-through simulations are required in several countries for grid connection above a certain power. The scenarios are severe voltage dips caused by short circuits in the high-voltage grid and elimination after 60-150 ms. The aim is to prevent such an event from leading to a cascading failure of a significant proportion of decentralized generation and a subsequent imbalance between generation and consumption. Such scenarios also pose a challenge for the measurement of grid frequency, RoCoF and phasors. The assumption of a stationary behavior of the signals during the averaging interval of the measurement period is no longer valid and the results are clearly incorrect. On the one hand, such an event offers many opportunities to estimate the grid status, but no analysis is possible without reliable measurement data. On the other hand, these scenarios also often cause phase jumps in the positive sequence phasor, which leads to enormous RoCoFs and large frequency deviations in measurements based on phase-locked loops (PLL). If the behavior of an inverter, which mostly use PLLs, depends on the measured frequency, as is common in photovoltaic (PV) inverters and battery systems, a measurement error can cause a highly synchronous disturbance in a large number of inverters. In this article, we present the concept of a normalized time base with a fixed ratio to the angle of the fundamental. In this time base, the signals are periodic again and the harmonics are orthogonal again, even if the frequency of the fundamental varies. In a discrete-time implementation with interpolated sampling, this concept is applied to an in-quadrature PLL with adaptive filtering on the positive sequence phasor, but the filter can be optimally and robustly designed and rigidly implemented in the normalized time base. In an FPGA-based implementation, the phasors and the f

关键词： Phase locked loops

来源：评论

学校读者我要写书评

暂无评论

Windows to Reduced Leakage and Interference Without any Influence on Harmonic Components of Phasor and Power Flow Measurements

Windows to Reduced Leakage and Interference Without any Infl...

引用

CIRED 2024 Vienna Workshop

作者： Bumiller, Gerd Institute of Computer Science Hochschule Ruhr West University of Applied Sciences Bottrop Germany

ISBN: (纸本)9781837242672

The changes in the electricity grid pose new challenges for the measurement of power flows in the grid. The non-linear behavior on both the generation and load side can lead to the simultaneous observation of reversed power flows on different harmonics on one line. In order to gain a comprehensive understanding of the power flows, it is necessary to measure the harmonic components separately. This requires the measurement of voltage and current with usable phase information, such as in harmonic phase measurement. In conjunction with a fluctuating fundamental frequency, leakages occur in existing technologies, which devalue the phase information of the harmonics. In order to eliminate the symptoms of this problem, increasingly complex methods are used or the phase information is often omitted altogether. With the increasing use of power electronics, interharmonic disturbances are also increasing. At the same time, fast control loops lead to an increase in volatility, whereby the usual duration of steady-state behavior decreases, which makes it necessary to reduce the averaging times for measurements. This work focuses on the measurement of harmonic signal components as they are usually performed for synchrophasors, harmonic phases or power quality measurements in electrical power systems. A class of windows is defined which, in combination with a periodic superposition of the signals, has no influence on the measurement of harmonic components. The combination of special windows and superposition shown here is invisible for harmonic signal components, but can significantly reduce the measurement errors caused by incorrect estimation of the fundamental frequency and inter-harmonic signal components. The commonly used rectangular window is a member of this class and is used as a reference for the evaluation. However, Bartlett, Hann and sine ramp base windows can also be designed as members of this class. All windows have a length of 2 timing intervals and are executed w

关键词： Harmonic analysis

来源：评论

学校读者我要写书评

暂无评论

StoryScreen: a Traceability Visualisation Modelling Tool for User Stories and Conceptual Models 17

StoryScreen: a Traceability Visualisation Modelling Tool for...

引用

17th IFIP WG 8.1 Working Conference on the Practice of Enterprise Modeling Forum, 1st International Workshop on Models for Simulation, M4S 2024, 2nd International Workshop on the Foundations and Applications of Capabilities in Enterprises, Transformations, and ESG Initiatives, FACETE 2024, Workshop on Advancing Enterprise Modelling through Digital Transformation, FAIR Data Management, and Blockchain Integration, AEM 2024, Tools and Demos, PoEM-Companion 2024

作者： Ruiz, Marcela Olgiati, Carlos Zurich University of Applied Sciences Institute of Computer Science School of Engineering Winterthur Switzerland

Requirements and conceptual model traceability is a core software engineering activity that supports decision-making during the entire software development life cycle. With traceability data sets growing, traceability visualisation techniques that properly communicate the relevant information are imperative to ensure quality, completeness, and transparency in enterprise models and information systems. We did a comparative analysis of various graphical visualisation techniques for conceptual model traceability such as graphical graphs, tabular forms, sunbursts, etc., The findings suggest that a one-size-fits-all solution does not exist because factors such as data structure, traceability purpose, and traceability-users' skills determine the level of detail, content, and type of traceability visualisation technique. As a proof of concept, this paper presents an approach towards a traceability visualization modelling tool named StoryScreen, which facilitates the visualisation of traces among user stories and conceptual models. StoryScreen allows users to identify missing traces and fix errors in conceptual models and user stories. StoryScreen provides a project management tool for user story-based projects, which includes various traceability visualisation techniques such as graphical graphs, tabular, and textual. We expect that StoryScreen will support traceability users in improving user stories and creating conceptual models employing traceability visualisations that are filterable and interactive. © 2024 Copyright for this paper by its authors.

关键词： Software design

来源：评论

学校读者我要写书评

暂无评论

Beyond Coding: Empowering HRI Researchers with an Authoring Tool for Simplified VR Studies 7

Beyond Coding: Empowering HRI Researchers with an Authoring ...

引用

7th IEEE International Conference on Artificial Intelligence and eXtended and Virtual Reality, AIxVR 2025

作者： Helgert, André Eimler, Sabrina C. Gross, Tom Institute of Computer Science Ruhr West University of Applied Sciences Bottrop Germany University of Bamberg Human-Computer Interaction Group Bamberg Germany

ISBN: (纸本)9798331521578

Although Virtual Reality (VR) is a promising tool in today's Human-Robot Interaction (HRI) research, the technical hurdle of creating high-quality and customized VR applications for one's own research prevents its comprehensive use. To address this problem, we present a VR authoring tool for HRI research, allowing non-technical researchers to create individual study designs in a simplified manner with predefined environments, robots, and measurement methods. Furthermore, the authoring tool has a highly modularized structure so that it can be adapted to a wide range of use cases. Technical details are presented, covering UI/UX decisions in the study design process and the visual programming interface for the creation of the interaction scheme of the robot, as well as the data management system that transfers researchers' study setups into a suitable VR application. The VR authoring tool is intended to bridge the gap between the practical applicability of VR as a research tool and the required technical implementation expertise for VR applications. © 2025 IEEE.

关键词： Human robot interaction

来源：评论

学校读者我要写书评

暂无评论

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案：

请选择收藏分类：

通借通还

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：