We theoretically, numerically, and experimentally study a lightweight metastructure that can simultaneously reduce vibration noise in broad low-frequency range. introduce spiral slits micro-perforations the panel core plate of face-centered cubic sandwich structure, respectively. A bottom-up acoustic impedance theory is developed to describe single unit cell. Broadband sound absorption achieved for 3 × supercell via reinforcement learning optimization. The resonant coupling upper lower form...

The underwater broadband anechoic coating is highly demanded in acoustic stealth for vehicles. In this work, we propose a gradient index metamaterial sound absorption, which further experimentally validated under high pressure conditions. consisting of radius-varied cavities rubber allows the waves to follow objective trajectory broad band with impedance matching at interface water. viscosity materials and coupling effect among contribute absorption. performance absorption from 1 10 kHz...

The exponentially increasing number of heterogeneous Internet Things (IoT) devices motivate us to explore more efficient and higher throughput communication, especially at the bottleneck (i.e., edge) IoT networks. Our work, named Chiron, opens a promising direction for Physical (PHY) layer concurrent high communication (e.g., wider-band WiFi narrower-band ZigBee). Specifically, PHY layer, Chiron enables concurrently transmitting (or receiving) 1 stream data up 4 streams ZigBee from)...

Biomineralization of a rare earth ion (Gd) is first employed to assemble bovine serum albumin (BSA) into sub-50 nm nanoparticles (Gd@BSA) for theranostic applications, via straightforward and reproducible strategy. Combination Gd ions with BSA under mild conditions results in the formation Gd@BSA nanosystem, which has been used as scaffold material encapsulate photosensitiser (Ce6) high efficiency up 20 wt%. Beyond playing an important role assembled process, incorporation affords potential...

3D printing of continuous fiber reinforced composites (CFRCs), a revolutionary manufacturing technique for composites, has great potential in fabricating complex structures with cost-effectiveness and efficiency. However, it remains challenge to simultaneously guarantee dimension accuracy superior mechanical performances 3D-printed CFRCs. In this paper, novel crossing-lap strategy was proposed arrange path topology-optimized Messerschmitt-Bölkow-Blohm (MBB) beam. The layer the normal were...

Integrated traditional Chinese and Western medicine refers to a clinical diagnosis treatment model that incorporates the essence of in regard decisions based on syndrome differentiation reliance modern western as basis treatment. It is an organic combination two, with each bringing its own strengths into full play complementing those other. After founding People's Republic China, development integrated has been increasingly valued. The unique advantages integration have continuously...

Border Gateway Protocol (BGP) is the core component of Internet's routing infrastructure. Abnormal behavior impairs global Internet connectivity and stability. Hence, designing implementing anomaly detection algorithms important for improving performance protocols. While various machine learning techniques may be employed to detect BGP anomalies, their strongly depends on algorithms. These have multiple variants that often work well detecting a particular anomaly. In this paper, we use...

This article investigates optimal control for a class of large-scale systems using data-driven method. The existing methods in this context separately consider disturbances, actuator faults, and uncertainties. In article, we build on such by proposing an architecture that accommodates simultaneous consideration all these effects, optimization index is designed the problem. diversifies amenable to control. We first establish min–max based zero-sum differential game theory. Then, integrating...

Aiming at the distributed optimal control problem in presence of external disturbance, a data-driven iterative algorithm based on policy gradient is proposed for multi-agent systems (MAS) this article. Taking into full consideration influence itself and local neighbor perturbation information, optimization replaced by zero-sum game with disturbance policies. Then, behavior under conditions evaluated using action-state value function to achieve decoupling system parameters. Afterwards,...

To improve noise tolerance of link transmission and router buffers, we propose an error control scheme that integrates a powerful recovery method, efficient buffer correction coding, algorithm to further manage the loss header tail flits in packet. With this can be effectively protected, reducing network saturation. Simulation results show proposed achieves up 9x improvement operation time before saturation 26% higher throughput than other methods. Simulations performed on parallel FFT...

Abstract In this article, the lateral path following problem of unmanned ground vehicle with bounded disturbances is studied. A dual‐mode model predictive control (MPC) algorithm based on adaptive event triggered mechanism proposed. Compared existing MPC algorithm, (AEMPC) can ensure tracking accuracy and reduce optimization computation. Feasibility stability AEMPC are guaranteed by constraint region parameter design. Finally, simulation results dynamics given, comparisons made.

Freeways in China have developed rapidly recent years. The large traffic volumes and high travel speeds created a serious safety problem that is of growing concern, however. Accurate identification factors influencing crashes prerequisite for implementing countermeasures, but unobserved heterogeneity crash data can lead to erroneous inferences. To identify key occurrence, this study used two preparation modeling approaches account heterogeneity. First, freeway were divided into...

Security of Supervisory Control and Data Acqui-sition (SCADA) network is essential for the Naval shipboard systems. Software-Defined Networking (SDN) introduced in this paper towards security, which configured with a controller or multiple controllers that are given total control over network. This design makes it flexible to SD N framework. While fact these responsible managing software-defined networks, also vulnerable circumstance compromised. necessitates dynamic configuration allows an...

Software-Defined Networking (SDN) technique is presented in this paper to manage the Naval Supervisory Control and Data Acquisition (SCADA) network for equipping with function of reconfiguration scalability. The programmable nature SDN enables a Modular Topology Generator (MTG), which provides an extensive control over network's internal connectivity traffic control. Specifically, two functions MTG are developed examined paper, namely linkHosts linkSwitches. These able place into three...

In order to solve the problem of path planning and roadblock avoidance in process smart car walking, this paper proposes a algorithm based on neural network realize collision unknown environment. Since optimal is automatically find collision-free from initial state target when it moves an environment with obstacles. The using four-layer structure energy function designed as evaluation network. By looking for extremum function, AGV adjusts trolley according trend point set. Move complete...