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Abstract-Desired far-field radiation patterns of 5 × 11 conformal antenna array are synthesized using a hybrid genetic algorithm (HGA), which combines the simplified quadratic interpolation (SQI) method and the real-coded genetic algorithm (RCGA). This hybrid genetic algorithm is shown to outperform standard genetic algorithm (GA) when used to synthesize amplitude weights of the elements to satisfy specified deep notches, nulls and average sidelobe level constraints. The HGA procedure appears to be a high effective means to compensate the mutual coupling effects on the individual element patterns for the conformal antenna array.

High-resolution remote sensing images (HRRSIs) contain substantial ground object information, such as texture, shape, and spatial location. Semantic segmentation, which is an important method for element extraction, has been widely used in processing mass HRRSIs. However, HRRSIs often exhibit large intraclass variance and small interclass variance due to the diversity and complexity of ground objects, thereby bringing great challenges to a semantic segmentation task. In this study, we propose a new end-to-end semantic segmentation network, which integrates two lightweight attention mechanisms that can refine features adaptively. We compare our method with several previous advanced networks on the ISPRS Vaihingen and Potsdam datasets. Experimental results show that our method can achieve better semantic segmentation results compared with other works. The source codes are available at https://github.com/lehaifeng/SCAttNet.

A red‐light emitting europium complex(see Figure) is investigated here as an alternative to traditional fluorescent materials, which have an inherent electroluminescence (EL) efficiency limited to 25 % of their photoluminescence (PL) efficiency. It is shown that by optimizing the structure of Eu complex–based devices significant improvements in the EL efficiency and stability can be obtained.

Permanent magnet synchronous motors (PMSM) have been used in a lot of industrial fields. In this paper, a review of faults and diagnosis methods of PMSM is presented. Firstly, the electrical, mechanical and magnetic faults of the permanent magnet synchronous motor are introduced. Next, common fault diagnosis methods, such as model-based fault diagnosis, different signal processing methods, and data-driven diagnostic algorithms are enumerated. The research summarized in this paper mainly includes fault performance, harmonic characteristics, different time-frequency analysis techniques, intelligent diagnosis algorithms proposed recently and so on.

The structural basis for accurate placement of substrate RNA by H/ACA proteins is studied using a nonintrusive fluorescence assay. A model substrate RNA containing 2-aminopurine immediately 39 of the uridine targeted for modification produces distinct fluorescence signals that report the substrate's docking status within the enzyme active site. We combined substrate RNA with complete and subcomplexes of H/ACA ribonucleoprotein particles and monitored changes in the substrate conformation. Our results show that each of the three accessory proteins, as well as an active site residue, have distinct effects on substrate conformations, presumably as docking occurs. Interestingly, in some cases these effects are exerted far from the active site. Application of our data to an available structural model of the holoenzyme, enables the functional role of each accessory protein in substrate placement to come into view.