Abstract: A cholesteric liquid crystal display device and a driving method for improving non-uniform image quality of the cholesteric liquid crystal display device. The cholesteric liquid crystal display device includes a cholesteric liquid crystal display panel and a liquid crystal drive unit. The cholesteric liquid crystal display panel is composed of multiple row circuit structures and multiple column circuit structures. The liquid crystal driving unit sequentially outputs column driving voltages to a plurality of column circuit structures in a scanning manner. After scanning the multiple column circuit structures, the liquid crystal driving unit applies an unselected voltage to the multiple column circuit structures together with more than 18 times the scanning unit time course, so as to make the brightness of the overall picture more uniform.

Abstract: An illumination light adjusting system according to the present disclosures includes a color vision characteristics storage configured to store color vision characteristics of a user, and a wavelength characteristics changing unit configured to change wavelength characteristics of illumination light based on the color vision characteristics stored in the color vision characteristics storage.

Abstract: The present invention relates to a cholesteric liquid crystal display, a liquid crystal driving unit, and a driving method for reducing the maximum driving voltage. The cholesteric liquid crystal display comprises a cholesteric liquid crystal display panel, a temperature detecting device, and a liquid crystal driving unit. If the temperature detecting device detects a temperature below the optimal range for the cholesteric liquid crystal display panel, the liquid crystal driving unit will operate the cholesteric liquid crystal display panel in DDS timing mode. When the temperature detecting device detects that the temperature of the display panel exceeds the optimal temperature range, the liquid crystal driving unit will operate the display panel in PWM timing mode, which can solve the problem of increased power consumption caused by changes in ambient temperature, and can greatly improve the better color level.

Abstract: A cholesterol liquid crystal display device includes a liquid crystal display panel and a liquid crystal driving unit. The liquid crystal display panel has a plurality of pixels. The liquid crystal driving unit applies row driving voltages and column driving voltages to a designated pixel according to the input signal. After the input signal is transmitted, the liquid crystal driving unit activates the power-down signal within a certain period of time to reduce the row driving voltage and the column driving voltage applied to the specified pixel. Thereby, the crosstalk phenomenon on the cholesteric liquid crystal display device can be improved.

Abstract: The present invention relates to a driving method of a cholesteric liquid crystal display. It includes the steps in the following: driving each scan line by a dynamic driving scheme (DDS) including an Evolution phase; refreshing a frame of the cholesteric liquid crystal display by a full refresh mode, each scan line driven N times during the Evolution phase in the full refresh mode; and refreshing a part of the frame by a partial-refresh mode, each scan line driven M times in the Evolution phase in the partial-refresh mode, wherein M is greater than N.

Abstract: For analyzing a sample containing particles of at least two categories, such as a sample containing blood cells, a particle counter subject to a detection limit is coupled with an analyzer capable of discerning particle number ratios, such as a visual analyzer, and a processor. A first category of particles can be present beyond detection range limits while a second category of particles is present within respective detection range limits. The concentration of the second category of particles is determined by the particle counter. A ratio of counts of the first category to the second category is determined on the analyzer. The concentration of particles in the first category is calculated on the processor based on the ratio and the count or concentration of particles in the second category.

Abstract: The invention generally relates to managing and sharing augmented reality (AR) content, and, more specifically, to an AR platform providing synchronized sharing of AR content in real time across multiple AR devices.

Abstract: Contextual data may be generated from assets in asset portfolios using metadata enrichment services. A recommendation engine may generate a set of recommended assets for presentation in a content stream based on the contextual data. Brand safety may be implemented using a brand safety policy that uses the contextual data as indicators of potentially offensive content. Advertisements included in the content stream may also be targeted based on the contextual data.

Abstract: A circadian health system (CHS) provides for improving the health of Alzheimer's patients and other persons by controlling their exposure to circadian lighting. Circadian sensor devices (CSDs) are distributed in a living space, e.g., at about eye-level positions on respective walls of room. Each CSD includes a spectral sensor for measuring the intensity of light at various wavelength bands. Captured spectra can be compared to circadian light signatures so that the sources of circadian light can be identified. The identifications then allow predetermined high-resolution, e.g., 5 nm, spectra in the circadian wavelengths of 450-500 nm to be determined. The spectra can then be used to control circadian lighting to provide prescribed doses of circadian stimulus.

Abstract: A method and system for classification of cells and particles in a biological sample using an automated image-based feature extraction and classification architecture. A method operates by applying a mask or series of masks to an image, extracting features from the unmasked portions of the image based on the content and location of colored pixels, selecting a subset of the extracted features, and mapping the subset of the extracted features into a classifier architecture. In a majority of cases, the first level model architecture provides an accurate identification of the cell or particle. In a minority of cases, the classification of the cell or particle requires a second level step requiring the use of numerical or categorical values from the first level in combination with a second level model.