As a flexible, accurate tool for representing practical industrial and military systems, multi-state systems have been paid great attention to in both academic engineering fields. Multi-state consecutive- <formula formulatype="inline" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> <tex Notation="TeX">$k$</tex></formula> are extensions of binary xmlns:xlink="http://www.w3.org/1999/xlink"><tex systems. In this paper, by using the finite Markov chain...

Objectives The purpose of this study is to evaluate the potential flattening filter free (FFF) mode a linear accelerator for patients with hippocampal avoidance whole-brain radiotherapy (HA-WBRT) by comparison flattened beams (FF) technique in application volumetric modulated arc therapy (VMAT) and intensity radiation (IMRT) using dosimetric radiobiological indexes based on volume hippocampus target. Methods 2 VMAT- IMRT- plans were optimized Eclipse planning system different delivery modes...

Abstract Recently, organometallic halide perovskites have shown attractive application prospects in photoelectric devices depending on their excellent electro‐optic properties. However, poor stability has greatly limited practical applications. Here, methylammonium lead tribromide (MAPbBr 3 ) crystals are protected by polystyrene (PS) fibre membranes using electrospinning technology. The MAPbBr @PS composite fabricated this work not only show strong photoluminescence properties but also...

In this paper, a novel algorithm is designed to detect the community structure of network systems in smart city based on biogeography-based optimization (BBO) and Newman, Moore, Watts (NMW) small-world network. We have incorporated NMW BBO enhance ability migration habitat by using connection mechanism With help information sharing, convergence speed has significantly improved. The first step design generate an containing nodes equal number habitats with good connectivity, which facilitates...

Deep learning (DL) has been widely utilized for channel estimation and resulted in significant performance improvements. However, most existing research only performs training testing relatively static scenarios, leading to a serious deterioration dynamic scenarios. In this paper, we propose robust estimator orthogonal frequency-division multiplexing (OFDM) systems scenarios called Vision Transformer (CE-ViT) based on attention mechanism. We perform patch embedding operation process data...

Mass customization enables the integration of traditional flow line production with product platforms to accommodate abundant product-process varieties. These platform-based lines explore common process routes while highlighting rebatching scheduling selectivity banks (RBS) handle large varieties across stages at minimum setup cost. Given inherent coupling between decision making in job diverging and retrieval quality, an interactive optimization approach is necessary for RBS problem. This...

Advancements in the Chinese smart grid has made relationship between power and information communication network increasingly important while increasing general vulnerability of grid. The coupling characteristics dual should be considered determining importance different nodes. Traditional node evaluation methods may not fully account for relevance. A method considering centrality was established this study alongside a model which on topological network. topology constructed, followed by...

Abstract Carbon-based nanomaterials have been extensively studied as scaffolds for neural tissue regeneration. In particularly, carbon nanotubes (CNTs), was most widely applied in engineering due to their excellent electrical conductivity and good biocompatibility. this study, the CNTs were introduced into pure PLA film, optimize function of film further application. The PLA-CNTs with content 0%, 0.2%, 0.4% 0.6% prepared by a phase inversion method, respectively. Following this, morphology...

Abstract Because of the renewable nature electric energy, many countries have begun to develop vehicle industry and achieved remarkable results. After conducting an investigation into field EVs (Electric Vehicles), we analyzed basic situation, quantity, development status government policies nowadays. Based on analysis charging stations EVs, a model was set up for corresponding station construction programs promotion methods, purpose predicting future trends. knowledge complex networks,...

With the rapid increase in types of electrical appliances used by users, number accidents caused this has increased year year. In view this, real-time monitoring use and operation power users is great significance to better protect safety life property users. Considering cost acceptability monitored paper proposes a machine learning fusion model based on V-I trajectory characteristic curve from perspective non-intrusive load decomposition, which realizes effect remote abnormal with lower...

Dynamic specifications for ADCs are very important in high-speed applications such as digital communications, ultrasound imaging, instrumentation, and IF digitization. How to measure dynamic static parameters of ADC accurately efficiently is most crucial data converters. The testing theory presented, a description the hardware environment software system given detail. Measurement using FFT based on Matlab also discussed. This has been applied test SCM530101 from Silan Microelectronics Ltd.

The coupling of power grid and information network has brought great convenience to mankind, but for the large-scale outages have become a menace. It is caused by failure some nodes in network, which usually causes outage, resulting cascading effect, ultimately gives rise paralysis or entire system extent. Failures different also ultimate impacts on network. Therefore, from cost point view, it necessary analyze identify important protect them advance. In this paper, An node identification...