Hexagonal close-packed Ni (h-Ni) nanocrystals and face-centered cubic (c-Ni) nanoflowers with uniform size high dispersion have been successfully assembled on graphene nanosheets (GN) via a facile one-step solution-phase strategy under different reaction conditions, where the reduction process of graphite oxide (GO) sheets into GN was accompanied by generation nanocrystals. The GO this method is effective, which confirmed X-ray diffraction (XRD), Fourier transform infrared (FTIR) Raman...

Event-triggered control is an effective strategy, capable of reducing the amount communications and retaining a satisfactory closed-loop performance. In this paper, we aim at proposing event-triggered sampling mechanism studying observer-based output feedback for switched linear neutral systems with mixed time-varying delays. Different from conventional strategies, our proposed one transmits not only state but also switching information to controller, which advantageous in applications where...

In this paper, two multifault diagnosis methods based on improved support vector machine (SVM) are proposed for sensor fault detection and identification respectively. First, online sparse least squares (OS-LSSVM) is utilized to detect predict faults. Then, a method which combines the SVM error-correcting output codes (ECOC) called ECOC-SVM solve feature extraction problem. We regard nonlinear transformation as input of classifiers enhance separability initial characteristics. classify...

This paper presents the design, implementation, and characterization of a hardware platform applicable to self-powered wireless sensor network (WSN) node. Its primary design objective is devise hybrid energy harvesting system extend operational lifetime WSN node after they are deployed in field environment. Besides implementation optimal components (microcontroller, sensor, radio frequency (RF) transceiver, others) achieve lowest power consumption, it also necessary consider sources instead...

This paper presents a wearable thermoelectric power generator using body heat to supply low-power human diagnosis devices (especially sensor nodes), thus new type of (TEG) integrated into clothes that combines the TEG technology with fashion sports equipment: wrist guards, leg headbands, and tights is also proposed. As result this integration, any difference in appearance not significant when compared original clothing. Through design experiment TEG, here several key factors affect energy:...

In this study, we show that the energy-based method of sound source localization can be successfully exploited for under low power consumption conditions. Sound is widely applied in battlefield environments where especially crucial and necessary extending lifespan sensor nodes. We propose several variables may (possibly) affect path loss exponent. provide data shows methods accurately determine appropriate exponent improve accuracy. The results our study also demonstrate significantly reduce...

Dataset plays an essential role in the training and testing of traffic vision algorithms. However, collection annotation images from real world is time-consuming, labor-intensive, error-prone. Therefore, more researchers have begun to explore virtual dataset, overcome disadvantages datasets. In this paper, we propose a systematic method construct large-scale artificial scenes collect new dataset (named "ParallelEye") for research. The Unity3D rendering software used simulate environmental...

Zeolitic imidazolate framework-8 (ZIF-8) nanoparticles are able to act as effective reinforcements enhance the overall performance of a poly-l-lactic acid (PLLA) scaffold due its interface compatibility and natural degradability. Nevertheless, fast degradation ZIF-8 would release excessive zinc ions, which produces adverse effects on cell growth. In this study, core–shell-structured nanoparticle, in ZIF served core hydroxyapatite (HA) shell, was constructed by polydopamine (PDA)-induced situ...

The repair of segmental bone defects caused by traumatic injury or pathological diseases remains a substantial challenge in clinic. Poly-l-lactic acid (PLLA) is recognized as one potential substitute material due to its natural biodegradability and excellent biocompatibility. Nevertheless, it still faces several fundamental puzzles including insufficient mechanical properties, slow degradation poor osteogenic activity. To address these issues, the corresponding strategies were thoroughly...

Flexible manufacturing has given rise to complex scheduling problems such as the flexible job shop problem (FJSP). In FJSP, operations can be processed on multiple machines, leading intricate relationships between and machines. Recent works have employed deep reinforcement learning (DRL) learn priority dispatching rules (PDRs) for solving FJSP. However, quality of solutions still room improvement relative that by exact methods OR-Tools. To address this issue, article presents a novel...

Virtual simulated scenes are becoming a critical part of autonomous driving. In the context knowledge automation and machine learning, images widely used for visual environmental perception. However, even most inspirational applications have not fully exploited potential in solving real-world problems. this article, we propose novel framework "ParallelEye Pipeline," which uses image-to-image translation to automatically generate realistic synthetic with multiple ground-truth annotations....

This article studies the fixed-time consensus tracking control of nonlinear multiagent systems (NNMASs) suffering from nonaffine faults. A command filter is constructed to solve "explosion complexity" issue, and a novel error compensation mechanism designed eliminate filtering errors. The adaptive fuzzy technique introduced deal with unknown terms containing fault functions. new fault-tolerant scheme based on modified prescribed performance technology proposed for NNMASs, which ensures that...

Path planning is crucial for the successful mission execution of unmanned aerial vehicles (UAVs). However, feasible paths becomes challenging due to constraints imposed by complex environments and inherent maneuverability UAVs, particularly in large-scale scenarios involving multiple UAVs ( multi-UAV). This paper addresses multi-UAV cooperative path problem, formulating it as a constrained optimization problem proposing evolutionary state estimation-based multi-strategy jellyfish search...

The identification of the nonlinearity and coupling is crucial in nonlinear target tracking problem collaborative sensor networks. According to adaptive Kalman filtering (KF) method, can be regarded as model noise covariance, estimated by minimizing innovation or residual errors states. However, method requires large time window data achieve reliable covariance measurement, making it impractical for systems which are rapidly changing. To deal with problem, a weighted optimization-based...

A target-attacker-defender (TAD) game is a fascinating differential in both nature and the artificial world. This article considers TAD with nonsuicidal faster attacker that aims to capture target while avoiding being captured by defender. The pursuer (pursues target) an evader (evades defender). Naturally, one wonders when how can chase evade In this article, we first analyze possibility of winning for under framework games kind. Then, present three different stages corresponding control...

In this article, the robust output regulation problem of linear uncertain system is investigated by event-triggered control approach. Recently, same addressed an law where Zeno behavior may happen when time tends to infinity. comparison, a class laws developed achieve exactly, and meanwhile, explicitly exclude for all time. particular, dynamic triggering mechanism first introducing changing variable with specific dynamics. Then, internal model principle, feedback designed. Later, rigorous...

This paper investigates the three-dimensional (3D) spatial–temporal cooperative guidance problem for multiple missiles with time-varying speeds, which is addressed by a progressive design strategy. First, zero miss distance and desired impact directions are realized 3D vector angle control (IACG) law whose time-to-go predicted accurately efficiently numerical algorithm. Then, introducing an implicit trajectory-to-go function, mechanism clearly revealed under missile speed variation....