In Integrated Sensing and Communications (ISAC), radar and communications functionalities share the same radio channel and radio resources. This sharing allows the deployment of both functionalities at a low cost with...
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ISBN:
(纸本)9798350345681
In Integrated Sensing and Communications (ISAC), radar and communications functionalities share the same radio channel and radio resources. This sharing allows the deployment of both functionalities at a low cost without additional frequency bands and infrastructure. Because radar and communications have different radio resource requirements, new radio access and radio resource management (RRM) methods are required in a shared system. To develop and evaluate new ISAC methods, this paper presents a modular simulation framework for the system level and link level of ISAC networks. The main components of the framework are the data storage, the simulators, and the algorithms. This paper presents the framework's architecture, the integrated simulation models for channel and signal simulation, and the integrated algorithms for multiple radar target localization and data transmission.
Since the advent of Covid-19 in late 2019, medical image analysis with artificial intelligence (AI) has become an important research topic. CT-scan imaging is an important diagnostic tool for this disease. This study ...
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ISBN:
(纸本)9798350302615
Since the advent of Covid-19 in late 2019, medical image analysis with artificial intelligence (AI) has become an important research topic. CT-scan imaging is an important diagnostic tool for this disease. This study is part of the 3rd COV19D competition for Covid-19 Severity Prediction, where we aim to close the significant gap between validation and testing results of the previous competition. To achieve this, we proposed two methods based on 2D and 3D CNN, respectively. Our 2D-CNN approach, called 2B-InceptResnet, includes two paths for segmented lungs and for infection of all slices of the input CT-scan, respectively. Each path contains a ConvLayer and an Inception-ResNet model pre-trained on ImageNet. In contrast, our 3D-CNN approach, known as Hybrid-DeCoVNet, consists of four blocks: Stem, four 3D-ResNet layers, classification head, and decision layer. Decision-based ensemble models are also created using these two proposed solutions with six training subsets. Our proposed approaches outperformed the baseline approach by 36% in the validation data of the 3rd COV19D competition for predicting the severity of Covid-19. In addition, our approach ranked second in the testing phase with an improvement of 14% compared to the baseline approach. These promising results demonstrate the potential of our novel method to improve the diagnosis and prognosis of Covid-19, which could contribute to the development of better treatment strategies and ultimately save lives.
This study delves into the design of a cloud-based digital three-dimensional scanning system for denture digitization. Addressing the requirements of digital denture manufacturing, this article presents a multi-tiered...
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Research purpose and significance: To study the real-time information exchange strategy of the Internet of Things with large data volume to provide a reference for better display of the value of the Internet of Things...
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The re-installation of the camera leads to the problem of rotating the photos collected previously during the process of medical surgical gloves recognition. This paper rotates, translates, stratifies, inverts and oth...
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The switchgear acoustic signal collected in the field environment is usually non-stationary and nonlinear, with a complex composition, mainly composed of noise, effective sound vibration waveform and harmonic superpos...
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Semantic transformation is a necessary requirement in the exchange of messages between heterogenous applications. With the increase in applied sensor technologies, stream processing architectures have emerged as a cri...
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ISBN:
(纸本)9798350359268
Semantic transformation is a necessary requirement in the exchange of messages between heterogenous applications. With the increase in applied sensor technologies, stream processing architectures have emerged as a critical processing capability for enterprises. This paper provides a discussion on two different stream architecture styles. The first is the publish and subscribe pattern and the second is the stream process. In both cases, a solution is presented and evaluated to integrate semantic data transformation so that downstream applications can provide analytics beyond the original sensor IDs and their measurements.
This paper proposes a small-signal model of single-pulse-operated switched reluctance generator (SRG). The small-signal model consists of mathematical expressions of the partial derivative of per-phase average dc-bus ...
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Maneuvering target detection and tracking encounter great challenges due to the large measurement error. The characteristics of accurate measurement and different perspectives by array radar and Bistatic radar are use...
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At this stage, although CAD software has had its advantages in 2D drafting, it has been unable to represent 3D models completely. The simulation system is devised by designing the three-dimensional landscape of the vi...
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