Designing new accelerated families of recurrent neural networks (RNNs) is essential for addressing diverse eng.neering problems. However, an efficient activation function (AF) must be carefully designed to improve the...
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We consider the problem of estimating differences in two multi-attribute Gaussian graphical models (GGMs) which are known to have similar structure, using a penalized D-trace loss function with nonconvex penalties. Th...
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The goal of this research is to aid doctors in the diagnosis of PCOS in female patients. Diagnosing the condition in question depends on many factors making it complex to diagnose. The model developed would help confi...
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Intelligent Transporttion System (ITS) provides economic benefits to business practices in the public or private sector. The benefit of implementing ITS is vehicle plate recognition. Number plates can be used for vari...
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Static Context Header Compression and Fragmentation (SCHC) is a standard defined as an adaptation layer for supporting IPv6, UDP, and CoAP protocols in low power wide area network (LPWAN) technologies. SCHC has fragme...
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In wireless power transfer systems, many parameters affect the performance of WPT systems. One of the critical parameters in the wireless power transfer system is the coupling factor that relies on the primary and the...
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Detecting diabetes at an early stage can help save lives and improve the patients quality of life significantly. Diabetes can be detected with the assistance of information regarding the patient's lifestyle and he...
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This research focuses on utilizing deep learning and natural language processing (NLP) to design an AI-powered chatbot for emotional support. The primary objective is to establish a supportive platform for individuals...
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Non-intrusive load monitoring (NILM) has emerged as a vital element of modern energy monitoring and management approaches. Artificial intelligence methodologies have led to the creation of numerous solutions over the ...
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Instructional discourse around physically-based material typically involves the use of gestures to focus attention in the joint visual space of the instructor and the student. Such gestures are performed in conjunctio...
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ISBN:
(纸本)9798350336429
Instructional discourse around physically-based material typically involves the use of gestures to focus attention in the joint visual space of the instructor and the student. Such gestures are performed in conjunction with speech, thus situating the discourse in the space of what the student is learning or doing. This kind of situated discourse is missing in distance learning. The lack of situatedness between conversants contributes to communication inefficiencies, as was recently highlighted when classes began using Zoom during COVID. For instruction that involves hands-on learning, the inability for instructors to index the student's space and vice versa is a more significant problem. The use of telepresence technologies allows this spatial gap to be bridged but can often leave a communication gap. Little evaluation has been made into how these mechanisms alter gesture and speech. This paper explores how giving the instructor situated gestural access to the student's workspace in distant learning settings alters gesture and speech, with the goal of guiding design of future systems that are mindful of how these systems work, not simply whether they work. Our research is based on a system that supports situated instructional discourse through augmented reality gesturing. The instructor is able to see the student's workspace and perform gestures that are superposed into the student's workspace. This shared gestural space is used in tandem with a traditional video chat. Two spatially-focused tasks were examined: a two-dimension problem that required varying levels of assistance, and a three-dimension problem with complete guidance by the instructor needed. We evaluated how gestures were used to augment verbal communication and the types of gestures and verbal utterances used. We found that static pointing G-hand deictic gestures were more common in the augmented reality mode than in the co-situated mode and complex spatial structuring gestures (e.g. orientation gestu
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