The widespread installation of millions of Infrared Data Association (IrDA) infrared (IR) ports in mobile devices for wireless communication applications necessitates for throughput performance optimization of the IR links at the IrDA link access protocol (IrLAP) link layer. For IrDA connectivity, link-layer throughput optimization is important for any line bit-error rate (BER). The paper provi...

A hierarchical attention control model is introduced for implementing a human-like attention control in computer vision. The lowest layer of the hierarchy is called a window layer, in which each attention window is controlled by signal processing in the same manner as in the conventional attention control. The other four layers, however, are designed for implementing an attention control with h...

Large-eddy simulations are performed for compressible flow over a cylindrical turret with a flat optical window, with and without passive control in the upstream boundary layer. Statistics of the flow field and optical distortions are computed and compared with experimental measurements. Results show reasonable agreement with experimental data for the baseline case without control. When passive...

A smart window is fabricated from a composite consisting of elastomeric poly(dimethylsiloxane) embedded with a thin layer of quasi-amorphous silica nanoparticles. The smart window can be switched from the initial highly transparent state to opaqueness and displays angle-independent structural color via mechanical stretching. The switchable optical property can be fully recovered after 1000 stre...

A novel aspect of this design comes from using the windows on the rf cavity as the cooling absorbers. This is possible because the near constant β function does not significantly increase the emittance heating at the window location. The window consists of a 1 cm thickness of LiH with a 75μm layer of Be on the rf cavity field side and, 25μm layer of Be on the opposite side. (The Be will, in tur...

Long-term context is crucial to joint Chinese word segmentation and POS tagging (S&T) task. However, most of machine learning based methods extract features from a window of characters. Due to the limitation of window size, these methods can not exploit the long distance information. In this work, we propose a long dependency aware deep architecture for joint S&T task. Specifically, to simulate...