389 research outputs found
Real-coded genetic algorithm based fuzzy sliding-mode controldesign for precision positioning
[[abstract]]A fuzzy sliding-mode controller was optimized through real-coded genetic algorithms and successfully implemented on an industrial XY table. The fuzzy sliding-mode controller is special type of fuzzy controller. By using the sliding surface, the fuzzy rule is simpler and the entire rule base is more compact. Thus, more easy to apply self-learning schemes. The real-coded genetic algorithm uses the internal floating-point representation of the computer system. With this advantage, the finite resolution problem of traditional genetic algorithm has been solved. The experimental results show the success of this approach.[[notice]]補正完
Single Cell Gap Transflective Liquid Crystal Display with Slanted Reflector Above Transmissive Pixels
Single cell gap transflective liquid crystal display which provides that the backlight traverses the reflective pixel portion twice and thereby follows a path similar to that of the ambient light. A slant reflector is built on the path of the back light to reflect the transmitted light to the reflective portion so that the back light and ambient light follow similar paths
Full color transflective cholesteric liquid crystal display with slant reflectors above transmissive pixels
A device and method for making full color cholesteric displays such as a narrow band and a broad band cholesteric display using high birefringence LC materials with color filtering processes. The invention includes positioning slant reflector(s) in the transmissive portion of the display to reflect backlight into reflection pixels. The LCD can display the same color images in both reflective and transmissive modes, maintain good readability in any ambient, has low power consumption, high brightness, full color capability and has a fabrication process that is compatible with conventional LCD fabrication
Security Authentication using Phase-Encoded Nanoparticle Structures and Polarized Light
Phase encoded nano structures such as Quick Response (QR) codes made of metallic nanoparticles are suggested to be used in security and authentication applications. We present a polarimetric optical method able to authenticate random phase encoded QR codes. The system is illuminated using polarized light and the QR code is encoded using a phase-only random mask. Using classification algorithms it is possible to validate the QR code from the examination of the polarimetric signature of the speckle pattern. We used Kolmogorov-Smirnov statistical test and Support Vector Machine algorithms to authenticate the phase encoded QR codes using polarimetric signatures
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