ID 原文 译文
18835 在软件无线电、雷达探测、无源定位、海事无线电等领域有广泛应用前景。 The proposed spectral analysis method possessesvast potentials in the software-defined radio, radar detection, passive positioning and marine wirelesscommunication etc.
18836 该文提出一种新型的集成TSK模糊分类器(IK-D-TSK)，首先通过并行学习的方式组织所有0阶TSK模糊子分类器，然后每个子分类器的输出被扩充到原始(验证)输入空间，最后通过提出的迭代模糊聚类算法(IFCM)作用在增强验证集上生成数据字典，从而利用KNN对测试数据进行快速预测。 A new ensemble TSK fuzzy classifier (i,e. IK-D-TSK) is proposed. First, all zero-order TSK fuzzysub-classifiers are organized in a parallel way, then the output of each sub-classifier is augmented to the original(validation) input space, finally, the proposed Iterative Fuzzy C-Means (IFCM) clustering algorithm generatesdictionary data on augmented validation dataset, and then KNN is used to predict the result for test data.
18837 IK-D-TSK具有以下优点：在IK-D-TSK中，每个0阶TSK子分类器的输出被扩充到原始入空间，以并行方式打开原始(验证)输入空间中存在的流形结构，根据堆栈泛化原理，可以保证提高分类精度； IK-D-TSK has the following advantages: the output of each zero-order TSK subclassifier is augmented to theoriginal input space to open the manifold structure in parallel, according to the principle of stack generalization,the classification accuracy can be improved;
18838 和传统TSK模糊分类器相比，IK-D-TSK以并行方式训练所有的子分类器，因此运行速度可以得到有效保证； Compared with traditional TSK fuzzy classifiers which trainssequentially, IK-D-TSK trains all the sub-classifiers in parallel, so the running speed can be effectivelyguaranteed;
18839 由于IK-D-TSK是在以IFCM & KNN所获得的数据字典的基础上进行分类的，因此具有强鲁棒性。 Because IK-D-TSK works based on dictionary data obtained by IFCM & KNN, it has strong robustness.
18840 理论和实验验证了模糊分类器IK-D-TSK具有较高的分类性能、强鲁棒性和高可解释性。 The theoretical and experimental results show that IK-D-TSK has high classification performance,strong robustness and high interpretability.
18841 针对实时系统能耗管理中动态电压调节(DVS)技术的应用会导致系统可靠性下降的问题，该文提出一种基于改进鸟群(IoBSA)算法的动态能耗管理法。 The application of Dynamic Voltage Scaling (DVS) technique in real-time system energymanagement will result in the decrease of system reliability. A dynamic energy management method based onImproved Bird Swarm Algorithm (IoBSA) is proposed in this paper.
18842 首先，采用佳点集原理均匀地初始化种群，从而提高初始解的质量，有效增强种群多样性； Firstly, the population is initializeduniformly with the principle of good point set, so as to improve the quality of initial solution and increase thediversity of population effectively.
18843 其次，为了更好地平衡BSA算法的全局和局部搜索能力，提出非线性动态调整因子； Secondly, in order to balance better the global and local search ability ofBSA algorithm, the nonlinear dynamic adjustment factor is proposed.
18844 接着，针对嵌入式实时系统中处理器频率可以动态调整的特点，建立具有时间和可靠性约束的功耗模型； Then, a power consumption model withtime and reliability constraints is established for the dynamic adjustment of processor frequency in embeddedreal-time systems.