With the widespread application of blockchain technology, ensuring that its network can efficiently process a large volume of transactions has become crucial. This paper employs the M/M/1 model from queuing theory to ...
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In the age of the Internet, people's lives are increasingly dependent on today's networktechnology. Maintaining network integrity and protecting the legitimate interests of users is at the heart of network co...
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This paper addresses the critical need for inclusive, human-centered, and neurodiverse research paradigms within the field of immersive extended reality (XR) technology interventions for transition-aged autistic adult...
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ISBN:
(纸本)9783031804748;9783031804755
This paper addresses the critical need for inclusive, human-centered, and neurodiverse research paradigms within the field of immersive extended reality (XR) technology interventions for transition-aged autistic adults. Specifically, we explored the use of extended reality XR as an intervention tool for autistic adults, employing a community-based participatory research framework. Project PHoENIX, an XR training experience, was assessed for usability, social validity, and alignment with the needs, preferences, and values of autistic stakeholders. Data collection involved the computer System Usability Questionnaire, an open-ended questionnaire, and a social validity instrument, complemented by videos of focus groups. A combination of qualitative and quantitative methods was used for data analysis, including content analysis of open-ended responses and spreadsheet calculations for CSUQ and social validity questionnaire data. The results are structured around three research questions, addressing usability, social validity, and stakeholder needs in XR design. The study highlights the need for participatory, inclusive, and flexible design approaches in developing XR tools for the autistic community, acknowledging the diverse experiences and requirements within this population.
This paper introduces a neural network designed to be lightweight (DL) for face expression recognition using dilation convolution without increasing parameters, enabling efficient global feature extraction. Incorporat...
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With the development of science and technology, computer big data is widely used in various fields such as economy, medical care, entertainment, etc., which brings convenience but also exposes potential risks and dang...
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Since the 18th National Congress of the Communist Party of China, the President of China has personally arranged the issues related to the Belt and Road Initiative, enhanced the ties between China and other countries,...
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LiDAR echo intensity data records the radiation characteristics and surface roughness of the target object. The use of echo intensity data for effective target recognition and extraction has gradually become a researc...
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Whether to wear a safety helmet is one of the key measures to ensure the safety of personnel in the construction process. This paper proposes a new detection algorithm for safety helmet wearing. Utilizing the YOLOv8n ...
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In the remote-controlled robotics system, the reliable communication between the operator and the robot is important. However, unstable network connections are an inevitable problem. Because of the jitter time delay, ...
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The hyper-realism of images generated by diffusion models has become increasingly impressive, making it difficult for humans to distinguish between AI-generated and real images. Most existing detectors rely on extract...
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