signal-processing
Taking the integration of specialty education with innovation and entrepreneurship education (specialty-innovation integration) as an opportunity, this paper analyzes the existing problems in the current teaching process of the “Computer Organization” course from three aspects — teachers, students, and the curriculum system. Through five measures — improving teachers’ professional competence, int…
The stringent energy constraints of sensor nodes in the Industrial Internet of Things (IIoT) pose a critical challenge to network sustainability. While clustering routing protocols are effective in mitigating energy dissipation, optimal Cluster Head (CH) selection remains an NP-hard optimization problem. Existing metaheuristic approaches often suffer from premature convergence and imbalanced expl…
The conceptualization of cybersecurity has fundamentally shifted from a reactive, perimeter-baseddefense posture to an intelligence-driven, proactive paradigm centered on the understanding of theadversarial lifecycle.1 At the nexus of this shift is the Cyber Kill Chain, a methodology adapted frommilitary targeting doctrine that identifies the structured phases an adversary must complete to achiev…
This paper defines the core structure of the Branch Admissibility System (BAS) and its governing constraint layer, Applied Semantic Dynamics (ASD). BAS represents decision spaces as branch-based structures governed by competition and capacity, while ASD provides the invariant constraints — Order, Capacity, Exit, Irreversibility, and Jurisdiction — that regulate admissibility under irreversible lo…
This comprehensive modern look at regression covers a wide range of topics and relevant contemporary applications, going well beyond the topics covered in most introductory books. With concision and clarity, the authors present linear regression, nonparametric regression, classification, logistic and Poisson regression, high-dimensional regression, quantile regression, conformal prediction and ca…
Federated O-RAN Slice SLA Prediction: A Cross-Architecture Empirical Benchmark on Colosseum/ColO-RAN
Federated learning (FL) on O-RAN edge gNBs is a natural candidate for slice-level SLA-violation forecasting when raw per-user telemetry is undesirable or infeasible to pool centrally (FL itself does not provide formal privacy guarantees; see Section 8 L16). Yet the deployment design space — sequence backbone, federation algorithm, client-heterogeneity partition, commodity edge hardware — has been…
Abstract: This study investigates a hybrid Quantum-AI framework for real-time cybersecurity threat detection and adaptive defense in high-velocity network environments. The central research problem concerns the increasing mismatch between dynamic cyberattacks and conventional intrusion-detection pipelines that are accurate under benchmark conditions but insufficiently reliable under latency, drif…
To address the coupled problem of cooperative search and attitude control faced by multi-UAV systems in complex uncertain environments, a unified control strategy based on hierarchical POMDP is proposed. This strategy effectively decomposes multi-scale decision-making problems by constructing a hierarchical architecture of upper-level task planning and lower-level attitude control. The upper leve…
Long-range synchronization of cardiomyocytes via purely elastic substrates is limited by the 1/r3 decay of mechanical interactions. Standard dipole models therefore predict only short-range phase coherence, leaving tissue-scale coordination unexplained. In this work, we introduce a state-dependent network model in which local phase coherence enhances contractile force through mechano-electric fee…
Abstract Distributed Denial of Service attacks (DDoS) are a common and influential network malicious behavior. The timely and accurate detection of Distributed Denial-of-Service (DDoS) attacks constitutes a critically significant research imperative in cyber security. Most current research focuses on classification based on statistical characteristics of network traffic, but less considers the si…
In distributed systems, event-driven architecture (EDA) is frequently employed to facilitate flexible and scalable communication between components. Existing research, however, mostly concentrates on infrastructure-level implementations, with little examination of event-driven concepts in whole, user-facing programs. SkillMesh, a web-based social platform created as a regulated experimental setti…
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