| 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. |