对新简化差别矩阵的研究

通过反例证明当决策表含不一致对象时,无法通过简化差别矩阵得到正确的核和约简.产生该问题的原因在于简化差别矩阵和简化决策表对不一致对象的处理均存在欠缺.提出新简化差别矩阵(NSDM)定义,通过利用新简化决策表把一致对象和不一致对象分开存放的特点修正了这两处缺陷.NSDM能够处理含多种不一致对象的决策表,并且能够得到正确的核和约简.利用前人的基于差别矩阵的求核和求约简算法分别以NSDM和简化差别矩阵为基础求核和约简,然后再利用核和约简的定义求核和约简,通过比较证明以NSDM为基础得到的核和约简是正确的.这说明NSDM可以有效地处理不一致对象并且通过NSDM能够得到正确的核和约简.这个实验同时验证了原有的以差别矩阵为基础的求核和求约简的算法不加改动就可以在新差别矩阵上使用.     

高集成RDS调频收音模块设计

主要介绍基于便携式设备的RDS调频收音模块的设计,着重讲述了有关FM接收、RDS数据接收与音频处理等方面的应用电路。     

无线传感器网络路由协议及安全问题研究

无线传感器网络在军事和民用领域得到广泛的应用。由于传感器节点的资源有限以及通信的开放性使得其安全性显得尤为重要。出于对能量消耗的考虑,目前的路由协议设计得比较简单,作者对路由的安全性能以及可能受到的攻击进行分析,并给出相应的防范对策。     

计及用电行为模式的区域商业建筑负荷预测方法

为充分利用智能电表采集的细粒负荷数据并提高区域商业建筑负荷预测的精确度,提出一种基于用电行为模式的区域商业建筑负荷预测方法。首先,基于均值方差归一化方法对采集到的负荷数据进行标准化处理,通过肘方法确定聚类数目后进行k-Shape聚类,实现区域商业建筑负荷不同用电行为模式的提取;其次,针对大规模商业建筑负荷预测问题,考虑区域内大量商业建筑负荷预测时耗费大量内存资源却难以实现较准确预测问题,提出一种改进的Informer模型,该模型通过聚类算法识别具有相似用电行为模式的商业建筑,并充分考虑智能电表采集的异常负荷数据对模型训练结果的影响,能够良好的解决大规模商业建筑负荷预测精度不高问题;最后,采用加利福尼亚州商业建筑负荷进行实验,实验结果表明所提方法能够有效提高区域商业建筑负荷预测精度。     

In Situ Polymerizing Internal Encapsulation Strategy Enables Stable Perovskite Solar Cells toward Lead Leakage Suppression

Despite the outstanding power conversion efficiency (PCE) of perovskite solar cells (PSCs) achieved over the years, unsatisfactory stability and lead toxicity remain obstacles that limit their competitiveness and large-scale practical deployment. In this study, in situ polymerizing internal encapsulation (IPIE) is developed as a holistic approach to overcome these challenges. The uniform polymer internal package layer constructed by thermally triggered cross-linkable monomers not only solidifies the ionic perovskite crystalline by strong electron-withdrawing/donating chemical sites, but also acts as a water penetration and ion migration barrier to prolong shelf life under harsh environments. The optimized MAPbI₃ and FAPbI₃ devices with IPIE treatment yield impressive efficiencies of 22.29% and 24.12%, respectively, accompanied by remarkably enhanced environmental and mechanical stabilities. In addition, toxic water-soluble lead leakage is minimized by the synergetic effect of the physical encapsulation wall and chemical chelation conferred by the IPIE. Hence, this strategy provides a feasible route for preparing efficient, stable, and eco-friendly PSCs.     

Lightweight deep learning methods for panoramic dental X-ray image segmentation

Neural Computing and Applications - Dental X-ray image segmentation is helpful for assisting clinicians to examine tooth conditions and identify dental diseases. Fast and lightweight segmentation...     

Semi-supervised transformable architecture search for feature distillation

Pattern Analysis and Applications - The designed method aims to perform image classification tasks efficiently and accurately. Different from the traditional CNN-based image classification methods,...     

Graph-based fine-grained model selection for multi-source domain

Pattern Analysis and Applications - The prosperity of datasets and model architectures has led to the development of pretrained source models, which simplified the learning process in multi-domain...