In this paper, we present a real-time faulttolerant design for an l-level k-ary tree multiprocessor with two modes of operations and examine its reconfigurability. The k-ary tree is augmented by spare nodes at stages one and two. We consider two modes of operations, one under heavy computation or hard deadline and the other under light computation or soft deadline. By utilizing the capabilities...

In preclinical studies and clinical dose-ranging trials, the Jonckheere-Terpstra test is widely used in the assessment of dose-response relationships. Hewett and Spurrier (1979) presented a two-stage analog of the test in the context of large sample sizes. In this paper, we propose an exact test based on Simon's minimax and optimal design criteria originally used in one-arm phase II designs bas...

We propose to approximate two-stage distributionally robust programs with binary recourse decisions by their associated K-adaptability problems, which pre-select K candidate secondstage policies here-and-now and implement the best of these policies once the uncertain parameters have been observed. We analyze the approximation quality and the computational complexity of the K-adaptability proble...

Most traditional single image deblurring methods before deep learning adopt a coarse-to-fine scheme that estimates sharp at coarse scale and progressively refines it finer scales. While this has also been adopted in several learning-based approaches, recently number of single-scale approaches have introduced showing superior performance to previous terms quality computation time. In paper, we r...

Existing automatic sleep stage detection methods predominantly use convolutional neural network classifiers (CNNs) trained on features extracted from single-modality signals such as electroencephalograms (EEG). On the other hand, multimodal approaches propose very complexly stacked structures with multiple CNN branches merged by a fully connected layer. It leads to high computational and data r...