Fine-grained oriented object recognition (FGO <sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">2</sup> R) is a practical need for intellectually interpreting remote sensing images. It aims at realizing fine-grained classification and precise localization with bounding boxes, simultaneously. Our considerations the task are general but decisive: (i) extraction of subtle differences carries big weight in differentiating classes, (ii) prefers...

In this paper, a novel reconfigurable intelligent surface (RIS)-assisted HAP-UAV secure multi-user mixed radio frequency (RF)/free space optical (FSO) system is proposed. Specifically, the Gamma-Gamma distribution utilized to characterize atmospheric turbulence effect for FSO link from UAV HAP, while Rayleigh and Nakagami- <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> <tex-math notation="LaTeX">$m$ </tex-math></inline-formula>...

Object detection for remote sensing is a fundamental task in image processing of sensing; as one the core components, small or tiny object plays an important role. Despite considerable advancements achieved with integration CNN and transformer networks, there remains untapped potential enhancing extraction utilization information associated objects. Particularly within structures, this arises from disregard complex intertwined interplay between spatial context channel during global modeling...

Urban sensing is a rapidly growing field that involves gathering real-time data from urban environments. These smart systems are pivotal in enhancing planning, resource management, and overall quality of life cities. However, the context collection network congestion, nonnegligible latency can be experienced Recently, federated learning (FL) has emerged as an attractive approach to address concerns. FL achieves distributing processing tasks by uploading training results rather than raw...

Unmanned aerial vehicle mounted base stations (UAV-BSs) are expected to become an integral component of future intelligent transportation systems, which can provide seamless coverage for vehicles on highways with poor cellular infrastructures. Motivated by the above, this paper proposes aerial-ground integrated vehicular networking architecture, based a UAV-vehicle collaboration perspective is proposed. Specifically, emerging vehicle-to-UAV (V2U) and vehicle-to-vehicle (V2V) framework first...

One of the primary obstacles to widespread adoption openEHR methodology is lack practical persistence solutions for future-proof electronic health record (EHR) systems as described by specifications. This paper presents an archetype relational mapping (ARM) solution archetype-based EHR support healthcare delivery in clinical environment. First, data requirements are analysed and organized into archetype-friendly concepts. The Clinical Knowledge Manager (CKM) queried matching archetypes; when...

The openEHR approach can improve the interoperability of electronic health record (EHR) through two-level modeling. Developing archetypes for complete EHR dataset is essential implementing a large-scale interoperable system with approach. Although has been applied in different domains, feasibility archetyping hospital not reported academic literature, especially country where using still its infancy stage, like China. This paper presents case study modeling an China aiming to investigate and...

Clinical data registry is designed to collect and manage information about the practices outcomes of a patient population for improving quality safety care facilitating novel researches. Semantic interoperability challenge when integrating from more than one clinical registry. The openEHR approach can represent knowledge semantics by multi-level modeling, it advocates use collaborative modeling facilitate reusing existing archetypes with consistent so as be potential solution improve...

Aim To investigate nursing work patterns in a neurology department Chinese hospital. Background Knowledge of is important for management and design, the evaluation organizational process change associated with introduction an innovation. Methods A time-and-motion method was used to observe 14 registered nurses' (RNs') Results There were 147 hr observation. Overall, most time-consuming activities verbal communication (28.5%) documentation (28.3%), followed by indirect care (14.6%) direct...

This article proposes a device-to-infrastructure (D2I) and device-to-device (D2D) collaboration framework in air base station (ABS)-assisted post-disaster emergency networks, based on which the resource management problem is investigated. Specifically, by optimizing power control spectrum allocation, we formulate multi-objective optimization to characterize tradeoff among two critical performance metrics: a) total consumption minimization (primary); b) sum rate maximization (secondary). Due...

Neural network models for hyperspectral images classification are complex and therefore difficult to deploy directly onto mobile platforms. model compression methods can effectively optimize the storage space inference time of while maintaining accuracy. Although automated pruning avoid designing rules, they face problem search efficiency when optimizing networks. In this paper, a collaborative method is proposed image based on evolutionary multi-task optimization. The allows networks...

Calculating semantic similarity is paramount in medical information processing, and it aims to assess the of professional terminologies within databases. Natural language models based on Bidirectional Encoder Representations from Transformers(BERT) offer a novel approach representation for calculations. However, due specificity terminologies, these often struggle with accurately representing semantically similar terms, leading inaccuracies term consequently affecting accuracy To address this...

This paper investigates the secure rate-splitting multiple access (RSMA) cooperation for maritime cognitive unmanned aerial vehicle (UAV) network. Specifically, we first take into account primary privacy information and secondary UAV’s quality of service. Then, formulate an optimization problem to maximize transmission rate according RSMA decoding principle security requirements. To solve this non-convex problem, design a CPFS algorithm allocate transmit power adjust location. In addition,...

Remote sensing image super-resolution (RSISR) plays a vital role in enhancing spatial detials and improving the quality of satellite imagery. Recently, Transformer-based models have shown competitive performance RSISR. To mitigate quadratic computational complexity resulting from global self-attention, various methods constrain attention to local window, its efficiency. Consequently, receptive fields single layer are inadequate, leading insufficient context modeling. Furthermore, while most...

Clinical decision support system (CDSS) is an effective tool for improving healthcare quality. Since the clinical symptoms of some primary headache disorders in individual patients often overlap and that ill-defined boundaries features may be vague, current rule-based CDSS cannot perform as well expected. In this paper, we develop a disorder diagnosis based on case-based reasoning order to simulate specialist's thinking process. First, new case evaluated by reasoning, rules come from...

Since electronic healthcare records are widely implemented in the hospitals, explosion of clinical data brings great opportunities to secondary use. Clinical repository (CDR) plays an important role using, including service, research and management. With evolving knowledge, it is a challenge for CDR meet more requirements with adaptability flexibility. In order overcome this challenge, paper proposed solution that openEHR approach from model implementation. This study modelled archetypes...

The semantic interoperability of health care information has been a critical challenge in medical informatics and influenced the integration, sharing, analysis, use big data. International standard organizations have developed standards, approaches, models to improve implement interoperability. openEHR approach-one standout approaches-has implemented worldwide based on reused archetypes.This study aimed verify feasibility implementing different countries by comparing openEHR-based 2 acute...

In the past decades, continuous Doppler radar sensor-based bio-signal detections have attracted many research interests. A typical example is heartbeat detection. While significant progresses been achieved, reliable, time-domain accurate demodulation of bio-signals in presence unavoidable DC offsets remains a technical challenge. Aiming to overcome this difficulty, we propose paper novel algorithm that does not need trace and eliminate dynamic based on approximating segmented arcs quadrature...

openEHR is a flexible and scalable modeling methodology for clinical information has been widely adopted in Europe Australia. Due to the reasons of differences process management, there are few research projects involving China. To investigate feasibility modelling China, this paper carries out case study apply archetypes Clinical Data Repository (CDR) Chinese hospital. The results show that set 26 found cover all concepts used CDR. Of these, 9 (34.6%) reused without change, 10 modified...

This paper investigates the application of low altitude platform station (LAPS) and device-to-device (D2D) techniques in maritime emergency communications. The hovering LAPS acts as an aerial base to provide telecommunications services, D2D technique is used improve spectrum utilization. To make full use advantages LAPS-and-D2D enabled networks, we formulate a sum rate maximization problem by jointly considering deployment optimization resource management (DORM). formulated constrained...

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