Language models can greatly benefit from efficient tokenization. However, they still mostly utilize the classical Byte-Pair Encoding (BPE) algorithm, a simple and reliable method. BPE has been shown to cause such issu...
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We present an easy-to-use and lightweight surface and volume mesh sampling standalone application tailored for the needs of particle-based simulation. We describe the surface and volume sampling algorithms used in LEA...
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Predominant methods for image-based drone detection frequently rely on employing generic object detection algorithms like YOLOv5. While proficient in identifying drones against homogeneous backgrounds, these algorithm...
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We consider a graph coloring algorithm that processes vertices in order taken uniformly at random and assigns colors to them using First-Fit strategy. We show that this algorithm uses, in expectation, at most (1 + o(1...
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This paper presents a novel virtual reality (VR) authoring tool designed to simplify the creation of human-robot interaction (HRI) studies. The tool was developed to lower the technical barriers in VR development and ...
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ISBN:
(数字)9798350378931
ISBN:
(纸本)9798350378948
This paper presents a novel virtual reality (VR) authoring tool designed to simplify the creation of human-robot interaction (HRI) studies. The tool was developed to lower the technical barriers in VR development and allows researchers to simulate complex robot interactions without the need for advanced programming skills. It incorporates key HRI methods such as the Wizard of Oz (WoZ) technique, eye-tracking and motion tracking, and provides a comprehensive platform for data collection and study customization. A technical user study with computer scientists was carried out to evaluate the technical applicability of the tool. The participants confirmed the user-friendliness, flexibility and accessibility of the tool and furthermore found the tool efficient and expressed a strong interest in using it for future research. The results underline the tool's potential to expand the use of VR in HRI research, especially for non-technical researchers.
This paper provides a joint perspective of activity theory (AT) and service-dominant logic (SDL) to understand the role of customer activity, which has largely remained unexplored in investigating service ecosystems. ...
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The rapid spread of Internet of Medical Things (IoMT) systems makes the security of these systems critical. Although IoMT can improve patient care and optimize health care services, it also poses cyberattacks and data...
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ISBN:
(数字)9798331509934
ISBN:
(纸本)9798331509941
The rapid spread of Internet of Medical Things (IoMT) systems makes the security of these systems critical. Although IoMT can improve patient care and optimize health care services, it also poses cyberattacks and data breaches. In this context, securing IoMT systems is important for patient privacy and system integrity. A deep learning-based approach is proposed in this study to detect cyberattacks that may occur in IoMT systems. Deep Neural Networks (DNN) and Long-Short Term Memory (LSTM) architectures are used on the CICIoMT2024 dataset. An Fl-score of 99% was achieved for binary classification and over 75% for categorical and multiclass classification tasks. In particular, the LSTM architecture exhibited high performance in detecting complex attack patterns. The experimental results provide new insights for future research and provide effective and scalable solutions to improve the security of IoMT systems.
This paper presents a novel virtual reality (VR) authoring tool designed to simplify the creation of human-robot interaction (HRI) studies. The tool was developed to lower the technical barriers in VR development and ...
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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...
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ISBN:
(数字)9798331521578
ISBN:
(纸本)9798331521585
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.
The aim of this study is to introduce the application of fuzzy numbers in an Economic Order Quantity (EOQ) model for defective items under deterioration. In practice, the fuzziness of parameters tends to reduce over t...
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