Before structural health monitoring (SHM) technologies can be reliably implemented on structures outside laboratory conditions, the problem of environmental variability in monitored features must first addressed. Structures that are subjected to changing or operational conditions will often exhibit inherently non-stationary dynamic and quasi-static responses, which mask any changes caused by occurrence damage. The current work introduces concept cointegration , a tool for analysis time...

In this paper, we consider the directional multigigabit (DMG) transmission problem in IEEE 802.11ad wireless local area networks (WLANs) and design a random-access-based medium access control (MAC) layer protocol incorporated with antenna cooperative communication techniques. A MAC protocol, namely, D-CoopMAC, is proposed to coordinate uplink channel among DMG stations (STAs) that operate an WLAN. Using 3-D Markov chain model consideration of hidden terminal problem, develop framework...

Licensed-assisted access (LAA), which conveys data information via both licensed and unlicensed bands through spectrum aggregation, becomes a promising solution to enhance the capacity of wireless systems. In view potential impact on incumbent system operating in bands, medium control (MAC) protocol design for LAA harmonically coexist with its neighboring users is one most critical challenging issues. this paper, we consider long-term evolution-based (LAA-LTE) WiFi spectrum,...

Most existing multi-unmanned aerial vehicle (multi-UAV) systems focus on fly path or energy consumption for task assignment, while little attention has been paid to the dynamic feature of task, resulting in poor completion ratio. The machine learning (ML) paradigm provides new methodologies assignment. However, ML methods are usually heavy resource-consumption that cannot be directly applied UAV. In this paper, a digital twin (DT) assisted assignment approach is proposed improve...

In this paper, we consider medium access control (MAC) protocol design for random-access cognitive radio (CR) networks. A two-level opportunistic spectrum strategy is proposed to optimize the system performance of secondary network and adequately protect operation primary network. At first level, users (SUs) maintain a sufficient detection probability avoid interference with (PUs), sensing time optimized total traffic rate allowed random when channel detected be available. second two MAC...

In this paper, we consider the cooperative spectrum sensing problem for a cognitive radio (CR) mesh network, where secondary users (SUs) are allowed to share band which is originally allocated primary users' (PUs) network. We propose two new strategies, called amplify-and-relay (AR) and detect-and-relay (DR), aiming at improving detection performance with help of other eligible SUs so as agilely vacate channel network when neighboring PUs switch active state. AR DR strategies periodically...

Abstract In Part I of this work a 3‐D cloud tracking algorithm and phase space center gravity altitude versus liquid water mass (CvM space) were introduced described in detail. We showed how new physical insight can be gained by following trajectories the CvM space. Here approach is used to investigate aerosol effects on fields warm cumuli. show clear effect loading shape size clusters. also find fundamental differences between simulations using bin bulk microphysical schemes, with scheme...

Active control of aero-engine turbine tip clearance is one the best chances for engine performance uplift currently. To do that, first requirement real-time measurement in working environment. However, complexity makes it unlikely sensors to be loaded. In recognition this paper proposed a model-based method measurement. Firstly, by considering previously wrongly neglected factors such as load deformation, mathematical model monitor dynamic changes built improve calculation accuracy. Then,...

Early-onset (EOCC) and late-onset cervical cancers (LOCC) represent two clinically distinct subtypes, each defined by unique clinical manifestations therapeutic responses. However, their immunological profiles remain poorly explored. Herein, we analyzed single-cell transcriptomic data from 4 EOCC LOCC samples to compare immune architectures. Epithelial cells in exhibited a notable dual phenotype, characterized immune-suppressive properties driven elevated CXCL production, alongside...

Abstract Early bearing fault diagnosis is essential for stable operation and low-cost maintenance of rotation motors. A rolling method motors proposed, leveraging a novel interpretable short-time kurtosis error (SKE) indicator the improved snow ablation optimizer (ISAO). Initially, Cauchy mutation mechanism employed to bolster global search capability ISAO, thereby optimizing parameter settings. Subsequently, ISAO utilized adaptively configure key parameters within adaptive feature mode...

Abstract. Aerosol and secondary ice production (SIP) processes are both vital to charge separation in thunderstorms, but the relative importance of different SIP electrification under aerosol conditions is not well understood. In this study, using Weather Research Forecasting (WRF) model, we investigate role four with concentrations, including rime splintering (RS), ice–ice collisional (IC) breakup, shattering freezing drops (SD), sublimational breakup (SK). It found that as concentration...

Infrared polarization radiation of aircraft targets after transmission through high-temperature exhaust plumes is an important basis for infrared detection equipment to detect, identify, track and warn aircraft. At present, most the studies on characteristics gas polarized focus visible wavelength band, research object mainly atmospheric environment. The study in special environment plume still insufficient. In this paper, Monte Carlo method used model light a plume, absorption coefficients...

Concept Bottleneck Models (CBMs) offer inherent interpretability by initially translating images into human-comprehensible concepts, followed a linear combination of these concepts for classification. However, the annotation visual recognition tasks requires extensive expert knowledge and labor, constraining broad adoption CBMs. Recent approaches have leveraged large language models to construct concept bottlenecks, with multimodal like CLIP subsequently mapping image features feature space...

Abstract We study the evolution of warm convective cloud fields using large eddy simulations continental and trade cumulus. Individual clouds are tracked a posteriori from formation to dissipation 3‐D cloud‐tracking algorithm, results presented in phase space center gravity altitude versus liquid water mass (CvM space). The CvM is shown contain rich information on field characteristics, morphology, common development pathways, together facilitating comprehensive understanding field. In this...

This paper introduces a vision-based target recognition and positioning system for UAV mobile landing scenarios, addressing challenges such as occlusion due to shadows the loss of field view. A novel image preprocessing technique is proposed, utilizing finite adaptive histogram equalization in HSV color space, enhance detection markers under shadow conditions. The incorporates Kalman filter-based motion state estimation method binocular depth camera height achieve precise positioning. To...

Abstract. By analyzing dataset derived from four moorings during spring 2022, this study provides direct evidence that near-inertial waves (NIWs) can be largely enhanced by a passing cyclonic eddy (CE) in the northwestern South China Sea. Results show enhancement of NIWs mainly occurred at north side CE due to asymmetry structure. In vertical, concentrated above 200 m and reached peaks around 100 m. Significant energy transfer rates between appeared same depth reach up 6×10-10 m2/s3 CE’s...