Fully polarimetric array InSAR (Pol-array-InSAR) can obtain 3-D position information and the polarization scattering characteristics of targets. In this article, we propose a polarization analysis-based processing fra...
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Large Language Models (LLM) can be useful tools for translating Islamic literature written in Arabic into several languages, making this complex task technologically feasible, providing high-quality translations, at l...
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The study and treatment of human infection continues to be examined in relation to generative AI, deep learning, machine learning, and AI (artificial intelligence). We provide an overview of AI’s current and prospect...
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The real-oriented object detection has the advantage of indicating the inherent orientation of the target object, which has numerous downstream applications in the context of industry and stock farming. However, the d...
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Deep peaking will be the operating norm for thermal power units to address the intermittent supply of clean energy. However, the heat exchanger serves the temperature fluctuation conditions in the boiler during deep p...
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In this paper, we consider the Hermitian $$\{P, k + 1\}$$ -(anti-)reflexive solutions to the quaternion matrix equation $$AXB+CXD=E$$ and $$AX=E,$$ respectively. We use the complex representation method to obtain the ...
In this paper, we consider the Hermitian $$\{P, k + 1\}$$ -(anti-)reflexive solutions to the quaternion matrix equation $$AXB+CXD=E$$ and $$AX=E,$$ respectively. We use the complex representation method to obtain the necessary and sufficient conditions for the existence of the Hermitian $$\{P, k +1\}$$ -reflexive solution (resp. Hermitian $$\{P, k +1\}$$ -anti-reflexive solution), respectively, and derive their solutions when the matrix equations have the Hermitian $$\{P, k +1\}$$ -reflexive solution (resp. Hermitian $$\{P, k +1\}$$ -anti-reflexive solution). Finally, two examples are provided to verify the effectiveness of our method.
As the energy landscape undergoes a profound transition with the widespread penetration of renewable energy, Virtual Power Plant (VPP) energy dispatching management emerges as a highly effective approach to manage and...
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Helicon plasma has high ionization efficiency. It has been used in semiconductors, space propulsion, and nuclear fusion as a high-density plasma source. This paper establishes a three-dimensional numerical model of ar...
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As the demand for assistive technologies in healthcare grows, there is a unique opportunity to engage underrepresented students in STEM education. This paper presents the design and evaluation of a co-robotics curricu...
As the demand for assistive technologies in healthcare grows, there is a unique opportunity to engage underrepresented students in STEM education. This paper presents the design and evaluation of a co-robotics curriculum that integrates robotics, computer science, and assistive technology to inspire high school students, particularly from underrepresented backgrounds, to pursue STEM careers. The curriculum focuses on building and programming a robotic arm (the “Neupulator”) controlled by bio-signals, including electromyography and accelerometers, to simulate human–robot interaction for enhancing quality of life. Utilizing the 6E instructional model, the curriculum was implemented across multiple phases in schools, with iterative improvements informed by qualitative data from teacher interviews, classroom observations, and professional development sessions. Key findings highlight the curriculum’s success in engaging students through hands-on activities, while other challenges like hardware complexity and delicate electronics were identified and addressed to optimize learning experiences. The study contributes to the growing field of collaborative robotics education by offering an accessible, low-cost curriculum that aligns robotics education with real-world applications, with the potential to foster interest in STEM fields like biomedical engineering and robotics. Future work will assess the curriculum's long-term impact on student motivation, self-efficacy, and career aspirations.
Service robots are typically required to interpret and execute various complex tasks in home environments. Recognizing the environment, such as furniture, and understanding the relationships between object positions i...
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ISBN:
(数字)9798331531614
ISBN:
(纸本)9798331531621
Service robots are typically required to interpret and execute various complex tasks in home environments. Recognizing the environment, such as furniture, and understanding the relationships between object positions is critical for executing various tasks. Set of mark (SoM) is a visual prompting method that focuses on interpreting the relationship between semantic regions by overlaying marks in each region. However, SoM marks segmented regions that are not objects such as walls and floors. This marking creates noise when interpreting object positions. To address this problem, we propose a novel object-position interpretation system that combines an object detection model and a vision-language model (VLM). The proposed system incorporates an object detection model to mark only objects, allowing the VLM to efficiently interpret object positions. Furthermore, the proposed system improves the accuracy of the system by including the original image and label output by the object detection model in the input to the VLM. The experimental results show that the proposed system outperforms SoM in terms of interpreting object positions.
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