Synchronization - Science topic

With the continuous evolution of digital twins, the requirements of interconnection and interoperability have led to the creation of the term Distributed Digital Twin, where commonly, different components of the same digital twin operate on different devices. This article addresses this new gap in the field by combining Digital Twins and Distribute...

This study explores widespread cooperation among live content creators on synchronous user-generated content (UGC) platforms. It introduces a typology of online cooperation-hyping, peering, and spreading-based on creators' relative popularity statuses and proposes a framework exploring resource-based cooperative strategies and the economic impacts...

This study compares classical direct torque control (DTC) methods with a proposed quantum direct torque control (QDTC) strategy for synchronous machines. A quantum comparator is developed by implementing a quantum subtractor between real numbers ranging from -100 % to +100 %, and a quantum sign function is developed using this digital quantum subtr...

Generally, epilepsy is considered as abnormally enhanced neuronal excitability and synchronization. So far, previous studies on the synchronization of epileptic brain networks mainly focused on the synchronization strength, but the synchronization stability has not yet been explored as deserved. In this paper, we propose a novel idea to construct a...

This paper presents a study on energy harvesting from very low excitation frequencies 0.7 Hz, 0.9 Hz, and 1 Hz simulating a pedestrian’s walking motion using a piezoelectric energy generator. This generator is based on a cantilever beam model with a concentrated mass at its end. A more complex model was considered, incorporating a test mass of 1 g...

Background: The aim of this retrospective observational study was to investigate the geographical or

Synchronous vibrations, which are caused by periodic excitations, can have a severe impact on the service life of impellers. Blade Tip Timing (BTT) is a promising technique for monitoring synchronous vibrations due to its non-intrusive nature and ability to monitor all blades at once. BTT generally employs a Once-per-Revolution (OPR) sensor that is...

Detecting and classifying abnormal system states is critical for condition monitoring, but supervised methods often fall short due to the rarity of anomalies and the lack of labeled data. Therefore, clustering is often used to group similar abnormal behavior. However, evaluating cluster quality without ground truth is challenging, as existing measu...

This manuscript addresses the predefined synchronization in quaternion-valued neural networks (QVNNs) incorporating mixed time delays and leakage terms. Sufficient conditions for predefined-time synchronization of time-delayed QVNNs have been derived. The QVNNs have been decomposed into real-valued systems, and further synchronization criteria have...

We consider the effect of the emergence of chimera states in a system of coexisting stationary and flying-through in potential particles with an internal degree of freedom determined by the phase. All particles tend to an equilibrium state with a small number of potential wells, which leads to the emergence of a stationary chimera. An increase in t...

Background Disaster management is an inter-, intra-, and cross-disciplinary task in which different specialties partake. Triage is a crucial part of disaster education. A synchronized approach and mutual understanding of triaging and agreement on priorities are essential for saving lives. Case study Educational initiatives in disaster medicine aim...

The dynamics of electric power systems are widely studied through the phase synchronization of oscillators, typically with the use of the Kuramoto equation. While there are numerous well-known order parameters to characterize these dynamics, shortcoming of these metrics are also recognized. To capture all transitions from phase disordered states ov...

A sensitized dual-response ratiometric fluorescent sensor integrated smartphone platform for accurate discrimination and detection of tetracycline (TC) homologues was fabricated based on N-CDs-Eu³⁺ complex. In the sensing system, N-CDs act as a sensitizer of Eu³⁺ and significantly enhance the fluorescence of TC-Eu³⁺ complex approximate 40-fold owin...

Hand(s)-tapping tasks have been extensively studied in order to characterize the features of sensorimotor synchronization (SMS). These tasks frequently require participants to synchronize their tapping pace to an external, metronome-like sound. The impact of ageing on SMS abilities remains mainly unexplored. Thus, we conducted a series of hand tapp...

Any failure in the distribution network, a crucial component of a power system, must be swiftly recognized by relays. The presence of distributed generation resources in the distribution network poses a new challenge for the correct performance of overcurrent relays. These sources, by injecting fault current and changing the network structure, can...

This research is mainly to provides a report and summary of the production and experimental principle of our last electromagnetic gun Electromagnetic guns use the basic principle in physics that moving charges or current-carrying conductors are subjected to the electromagnetic force (i.e., the Lorentz force) in a magnetic field to accelerate projec...

Labeled transition systems can be a great way to visualize the complex behavior of parallel and communicating systems. However, if, during a particular timeframe, no synchronization or communication between processes occurs, then multiple parallel sequences of actions are able to interleave arbitrarily, and the resulting graph quickly becomes too c...

In today's society where the Internet and information networks are so developed, the need for confidentiality of information transmission is more and more important, no matter whether it is in the business sector, the military, medical care, or individuals. In this paper analyses the basic working principles of four different communication systems,...

The diffusion of information plays a crucial role in a society, affecting its economy and the well-being of the population. Characterizing the diffusion process is challenging because it is highly non-stationary and varies with the media type. To understand the spreading of newspaper news in Argentina, we collected data from more than 27 000 articl...

This paper aims to develop a new efficient multilayer neural network structure by combining the elliptic type-2 membership function with a Takagi- Sugenno-Kang (TSK) fuzzy system and a cerebellar model articulation controller to create a new multilayer TSK elliptic type-2 fuzzy cerebellar-imitated neural network (MTET2FCNN). The MTET2FCNN can be us...

Stimulus-response (S-R) bindings, which integrate sensory stimuli and motor responses into event files, are transient yet essential for adaptive behavior. This study investigated the EEG oscillatory dynamics underlying S-R binding processes, focusing on the roles of event-related desynchronization (ERD) and event-related synchronization (ERS) in th...

Thermal therapy is a commonly used local treatment technique in clinical practice. Monitoring the treatment process is essential for ensuring its success. In this review, we analyze recent image-based methods for thermal therapy monitoring, focusing particularly on their feasibility for synchronous or immediate postoperative monitoring. This includ...

Different from traditional offline channel modeling, digital twin online channel modeling can sense and accurately characterize dynamic wireless channels in real time, and can therefore greatly assist 6G network optimization. This article proposes a novel promising framework and a step-by-step design procedure of digital twin online channel models...

Accurately modeling and predicting flood flows across multiple sites within a watershed presents significant challenges due to potential issues of insufficient accuracy and excessive computational demands in existing methodologies. In response to these challenges, this study introduces a novel approach centered around the use of vine copula models,...

Selective Compliance Assembly Robot Arm (SCARA robot) takes less space and is easier to install compared to Cartesian robotic systems. It can execute several assembly activities demanding high speed and accuracy, such as pacemakers, hearing aids, and so on. This research aims to develop a fuzzy logic-based technique for synchronizing trajectory pla...

Efficient adsorption and purification of low concentration volatile organic compounds (VOCs) and carbon dioxide (CO2) mixture in high-humidity environments remain a daunting challenge for researchers. In this study, a dual spatial region synergistic adsorption strategy was proposed to achieve synchronous and efficient capture of formaldehyde and CO...

In this study, a grid-connected hybrid system composed of a solar and wind power generation system is modelled and analyzed in Matlab/Simulink. In addition, the quality of power generated by the hybrid power generation system is improved by using Fuzzy Logic (FL) and Proportional-Integral (PI) controllers. Measurements of the frequency, voltage, po...

Complex experimental protocols often require multi-modal data acquisition with precisely aligned timing, as well as state- and behavior-dependent interventions. Tailored solutions are mostly restricted to individual experimental setups and lack flexibility and interoperability. We present an open-source, Linux-based integrated software solution, ca...

This study focuses on the relationship between the impression a character makes on players of a game and the percentage of hetero and homosexualistic fan fiction that uses that character, particularly in the case of femslash works in homosexual fanfiction, which have not been well-studied. An agency/experience model was used as a measure of the imp...

Series-connected dc-ac converters commonly appear in medium-voltage grid-connected applications. In this paper, we seek a decentralized control approach that enables series-connected converters to ride through nonideal grid conditions. The proposed method leverages modularity of the series-connected system by operating one module as a current-contr...

Synchronization widely exists in brain networks and plays a significant role in the transmission and processing of signals in cognitive processes. Abnormal synchronization can lead to neurological and psychiatric disorders such as schizophrenia and Alzheimer's disease. It is an essential and challenging task to design a controller achieve synchroni...

The increasing adoption of multi-cloud strategies has created a demand for innovative solutions to ensure seamless scalability and interoperability across diverse cloud platforms. This research investigates the integration of serverless architectures within multi-cloud environments, emphasizing their potential to enable high scalability, cost effic...

In this work, we investigate the quantum synchronization and ϕ synchronization of two mechanical oscillators of different frequencies in two optomechanical systems with asymmetric coupling interaction. The whole system can be modulated by cavity detuning or driving amplitudes. Under certain parameters, quantum ϕ synchronization can be enhanced by a...

Traffic breakdown refers to the first-order transition from free flow to synchronized flow. It is characterized by a rapid decrease in speed, suddenly increasing density, and abruptly plummeting capacity in most of the relevant observations. To understand its cause and model its empirical observations, a multi-regime car-following model is proposed...

We present velocity-map imaging (VMI) of photoelectrons detached from anions using an optical parametric amplifier operating at a repetition rate as high as 100 kHz. The light source generates femtosecond (fs) laser pulses tunable from near-infrared to ultraviolet (310–2600 nm), which interact synchronously with mass-selected anion bunches. We demo...

Quasiperiodicity, a partially synchronous state that precedes the onset of forced synchronization in hydrodynamic systems, exhibits distinct geometrical patterns based on the specific route to lock-in. In this study, we explore these dynamic behaviors using recurrence quantification analysis. Focusing on a self-excited hydrodynamic system-a low-den...

Artificial neural networks and their applications in deep learning have recently made an incursion into the field of control. Deep learning techniques in control are often related to optimal control, which relies on the Pontryagin maximum principle or the Hamilton-Jacobi-Bellman equation. They imply control schemes that are tedious to implement. We...

Artificial neural networks and their applications in deep learning have recently made an incursion into the field of control. Deep learning techniques in control are often related to optimal control, which relies on Pontryagin maximum principle or the Hamilton-Jacobi-Bellman equation. They imply control schemes that are tedious to implement. We sho...

One of the models for rotating machines, such as synchronous machines and induction machines, is the phase‐domain model, which is characterized by formulating the circuit equations of the rotating machine in the phase domain and solving them simultaneously with the external system to which the rotating machine is connected. Although this model has...

The finite-time cluster synchronization (FTCS) of fractional-order complex-valued (FOCV) neural network has attracted wide attention. It is inconvenient and difficult to decompose complex-valued neural networks into real parts and imaginary parts. This paper addresses the FTCS of coupled memristive neural networks (CMNNs), which are FOCV systems wi...

Communicative interaction in the field of medicine is one of the main factors that have a significant impact on the process and outcome of treatment. In medicine, there are various manifestations of speech interaction, some of which have discursive features, the others are introduced in the form of a text. The purpose of this study is to differenti...

This paper presents an enhanced fault prediction framework for synchronous condensers in UHVDC transmission systems, integrating Large Language Models (LLMs) with optimized Wavelet Packet Transform (WPT) for improved diagnostic accuracy. The framework innovatively employs LLMs to automatically optimize WPT parameters, addressing the limitations of...

This article investigates the adaptive resource allocation scheme for digital twin (DT) synchronization optimization over dynamic wireless networks. In our considered model, a base station (BS) continuously collects factory physical object state data from wireless devices to build a real-time virtual DT system for factory event analysis. Due to con...

Multimodal interaction is a transformative human-computer interaction (HCI) approach that allows users to interact with systems through various communication channels such as speech, gesture, touch, and gaze. With advancements in sensor technology and machine learning (ML), multimodal systems are becoming increasingly important in various applicati...

This article addresses the global synchronization of fractional dynamical networks with both delayed and non-delayed couplings under a switching topology, where the coupling configuration matrices need not be commutative. By utilizing a modified fractional Razumikhin technique, the common Lyapunov function method and graph theory, we present a conv...

This article presents an open-loop modal analysis of a doubly fed induction generator (DFIG) connected to a single-machine infinite bus (SMIB) test system. The system includes several components: a wind turbine, wind generator, rotor-side converter (RSC), grid-side converter (GSC), and a line network. The dynamics of DFIG currents and voltages are...

Strategic entrepreneurship (SE) emphasizes synchronous advantage-seeking and opportunity development, an important mode for enhancing the core competitive advantage of scientific and technological innovation in enterprises and realizes sustainable innovation in a dynamic and uncertain environment. Through a questionnaire survey of 308 small- and me...

This paper deals with the concept of mirativity – the linguistic expressionof surprise – in both synchronic and diachronic terms, by analyzing the case of adedicated mirative marker in Sicilian, bì (roughly meaning ‘oh!’). After pointing outsome critical issues in the study of mirativity, the paper delves into the empiricalanalysis of present-day u...

Detecting and classifying abnormal system states is critical for condition monitoring, but supervised methods often fall short due to the rarity of anomalies and the lack of labeled data. Therefore, clustering is often used to group similar abnormal behavior. However, evaluating cluster quality without ground truth is challenging, as existing measu...

The microscopic organization of dynamical systems coupled via higher-order interactions plays a pivotal role in understanding their collective behavior. In this paper, we introduce a framework for systematically investigating the impact of the interaction structure on dynamical processes. Specifically, we develop an hyperedge overlap matrix whose e...

In this paper, we propose a novel algorithm for fast frequency and phase synchronization of high-stability oscillators synchronized with 1 PPS signal from satellite navigation systems. The algorithm uses a model of a control object in the space of state variables and controls the frequency of an oscillator operating in a phase-locked loop. A new el...

Narrowband active noise control (NANC) systems are extensively used to cancel narrowband noise. Direct, parallel, and direct–parallel NANC systems use nonacoustic sensors to measure rotational speeds, and a bank of signal generators then produces synchronized sinusoidal waveforms as reference signals corresponding to the fundamental frequency of th...

This paper presents a fractional-order adaptive fixed-time sliding mode controller for the synchronization of chaotic dynamics in permanent magnet synchronous motors (PMSMs). PMSMs, commonly used in electric vehicles, robotics, and aerospace, are prone to chaotic behavior under parameter variations and external disturbances, which can degrade perfo...

Nonlinear activation functions (NAFs) are essential in artificial neural networks, enhancing learning capabilities by capturing complex input–output relationships. However, most NAF implementations rely on additional optoelectronic devices or digital computers, reducing the benefits of optical computing. To address this, we propose what we believe...

This work is devoted to the hyperbolic sine function (HSF) control-based finite-time bipartite synchronization of fractional-order spatiotemporal networks and its application in image encryption. Initially, the addressed networks adequately take into account the nature of anisotropic diffusion, i.e., the diffusion matrix can be not only non-diagona...

To improve the centroid extraction accuracy and efficiency of high-dynamic star sensors, this paper proposes a multi-centroid localization method based on the prior distribution of star trail projections. First, the mapping relationship between attitude information and star trails is constructed based on a geometric imaging model, and an endpoint c...

This work exploits a framework whereby a graph (in the mathematical sense) serves to connect a classical system to a state space that we call `quantum-like' (QL). The QL states comprise arbitrary superpositions of states in a tensor product basis. The graph plays a special dual role by directing design of the classical system and defining the state...

Many experiments have supported the contact models, such as the GW and MB models, but the majority of previous validations have been performed under light loads, resulting in a linear relationship between normal force and contact area. However, the real contact area fraction should never equal one; there must be a limit smaller than the apparent ar...

The design idea of the seven-segment digital tube electronic clock and its potential applications against a contemporary backdrop are the main topics of this study. The seven-segment digital clock's low cost and straightforward design make it popular, especially for gadgets with tight budgets. Accurate time reading, adjustment, countdown, and warni...

Bolt support mechanisms represent a key technique to support the surrounding rock in coal mines. In deep rock engineering applications, the bolt‐supported structure of the surrounding rock of a deep roadway under high bearing stress may fail under dynamic loads such as those of blasting vibrations and earthquake motion. In this study, dynamic uniax...

Introduction: Our goal was to determine the differences in changes in cardiovascular and cardiorespiratory interaction indicators during a respiratory maneuver with a change in breathing rate in athletes with different types of heart rate regulation. Methods: The results of a study of 183 healthy men aged 21.2 ± 2.3 years, who were systematically i...

In silicon/graphite (Si/Gr) composite electrodes for lithium‐ion batteries, which have recently garnered significant attention, the competitive (de)lithiation between Si and Gr is recognized as crucial for understanding the internal electrochemical processes. In this work, an in‐situ method to characterize this competitive behavior is proposed, uti...

Quantum key distribution (QKD) is critical for future proofed secure communication. Satellites will be necessary to mediate QKD on a global scale. The limitations of the existing quantum memory and repeater technology mean that twin-field QKD (TF-QKD) provides the most feasible near-term solution to perform QKD with an untrusted satellite. However,...

We investigate the exponential synchronization of bi-directional associative memory neural networks with delays on a family of different time domains. By utilizing the theory of time scales, we provide stabilization results that are applicable to continuous-time, discrete-time, and general nonuniform hybrid time domains. Our approach employs a unif...

Abstract – The daily light-dark cycle governs rhythmic changes in the behavior and/or physiology of most species. Studies have found that these changes are governed by a biological clock, which in mammals is located in two brain areas called the suprachiasmatic nuclei. The circadian cycles established by this clock occur throughout nature and have...