In this paper, we investigate the two-way communication between two users assisted by a re-configurable intelligent surface (RIS). The scheme that two users communicate simultaneously in the same time slot over Raylei...
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This paper presents a variational learning framework to analyze finite g eneralized G aussian m ixture models (GGMM). The model incorporates several mixtures that are widely used in signal and image processing applica...
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ISBN:
(数字)9781728124858
ISBN:
(纸本)9781728124865
This paper presents a variational learning framework to analyze finite g eneralized G aussian m ixture models (GGMM). The model incorporates several mixtures that are widely used in signal and image processing applications. The motivation behind this work is the shape flexibility characteristics of the generalized Gaussian distribution (GGD) because of which it can be applied to different types of data. We present a method to evaluate the posterior distribution and Bayes estimators using the variational expectation-maximization algorithm. The effective number of components of the GGMM is determined automatically. The test results show the adequacy of the proposed algorithm by applying it to medical, astrological, and image segmentation applications; while comparing it with various other approaches.
To boost energy saving for the general delay-tolerant IoT networks, a two-stage, and single-relay queueing communication scheme is investigated. Concretely, a traffic-aware $N$-threshold and gated-service policy are a...
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We report an integrated ingestible capsule sensing system utilizing a hybrid packaging scheme for sensing pancreatic lipase in pH-specific regions within the human gut. The system uses microfabricated capacitive senso...
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This paper presents an adaptive narrative game system that focuses on sequential logic design. The system adapts a random forest machine learning model to estimate a student's current level of domain knowledge rel...
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ISBN:
(数字)9781728169040
ISBN:
(纸本)9781728169057
This paper presents an adaptive narrative game system that focuses on sequential logic design. The system adapts a random forest machine learning model to estimate a student's current level of domain knowledge relative to the problem presented to him through his game-playing behavior data, such as time taken to find solutions, errors in solutions, and emotional indicators. Hints, prompts, and/or individualized lessons are then offered to the player to guide their learning in a positive and productive direction. Our preliminary pilot study demonstrates that the model can make accurate classifications, from which proper assistance can then be provided to individual students as they play.
With advances in vehicle technologies, more information can be communicated in real-time to drivers via in-vehicle interfaces. In-vehicle messaging can be used for safety related information, such as warnings, as well...
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ISBN:
(数字)9781728158716
ISBN:
(纸本)9781728158723
With advances in vehicle technologies, more information can be communicated in real-time to drivers via in-vehicle interfaces. In-vehicle messaging can be used for safety related information, such as warnings, as well as non-safety related information, such as upcoming gas stations. While much research has focused on the design of messaging safety-related information, little is known about the best practice for in-vehicle messaging non-safety-related information. The current study aimed to examine how drivers process service logos - as an example of non-safety-related information - and respond to road hazards when logos are presented on: (1) an on-road sign panel, (2) an in-vehicle display, or (3) a combination of both. It was found that drivers generally identified logos with high accuracy and low workload across the presentation conditions. Driver reactions to road hazards were slower when logos were present for processing, although the number of collisions did not increase. Although the majority of drivers self-reported a preference for the on-road presentation, the simultaneous presentation of logos on-road and in-vehicle showed a benefit on driver hazard negotiation (fewer collisions). Older drivers were less accurate in identifying logos but also had fewer collisions, likely due to them being more cautious and allocating more attention to the driving task. Findings of this study provide support for use of in-vehicle presentation of non-safety-related information in addition to existing on-road signage.
This paper addresses the problem of bearing-only formation control in d (d ≥ 2)-dimensional space by exploring persistence of excitation (PE) of the desired bearing reference. By defining a desired formation that is ...
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The Expectation-Maximization (EM) algorithm is one of the most popular methods used to solve the problem of parametric distribution-based clustering in unsupervised learning. In this paper, we propose to analyze a gen...
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The multiplicative attribute graph (MAG) model was introduced by Kim and Leskovec as a mathematically tractable model of certain classes of real-world networks. It is an instance of hidden graph models, and implements...
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Recent years have seen a great deal of interest in deploying unmanned aerial vehicles (UAVs), also known as drones, for applications such as aerial transport of goods, search and rescue, precision agriculture, wildlif...
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