Abstract: A precharge method for a data driver includes steps of: outputting a display data to a plurality of output terminals of the data driver; outputting a second precharge voltage to an output terminal among the plurality of output terminals prior to outputting the display data to the output terminal, to precharge the output terminal to a voltage level closer to an output voltage; and outputting a first precharge voltage to the output terminal prior to outputting the second precharge voltage. The first precharge voltage provides a faster voltage transition on the output terminal than the second precharge voltage.

Abstract: A transition metal layered oxide is a P2 type transition metal layered oxide which is represented by following formula (1). Na0.67-2xM1xMgaCubMn1-a-bO2??(1) In the formula (1), M1 is selected from a group consisting of calcium (Ca), potassium (K), magnesium (Mg), and lithium (Li), 0.01?a+b?0.5, 0.01?a?0.5, 0.01?b?0.5, and 0?x?0.2. A positive electrode material of a sodium-ion battery includes the above transition metal layered oxide.

Abstract: Translating applications to a target language includes extracting program integrated information (PII) to be translated and creating translation context datasets based on interpretation of accessibility information associated with particular strings of PII. Translation pairs include PII and corresponding context datasets for context-based translation of application components. A two-stage index contains PII strings for first stage lookup and context datasets for distinguishing duplicate PII strings as a second stage lookup. Real-time translation is facilitated by the two-stage index, which is established by translation pairs and resulting translations.

Abstract: A method for identifying hard-coded strings in source code is disclosed. In one embodiment, such a method parses source code and associated localization resource files to identify hard-coded strings and their associated context. The method provides a confidence score for each hard-coded string that indicates whether the hard-coded string is translatable or non-translatable. Based on the confidence score for each hard-coded string, the method transforms each hard-coded string into a single equivalence word. The method then prepares training data by tagging the hard-coded strings in the source code and associated localization resource files as one of translatable and non-translatable. The method then trains a parts-of-speech (POS) tagging model using the training data. At runtime, the method fetches potential hard-coded strings and tags each hard-coded string as one of translatable and non-translatable using the POS tagging model. A corresponding system and computer program product are also disclosed.

Abstract: A vehicle image display system and correction method thereof, applicable to a vehicle to perform vehicle information display, comprising following steps, fetch a front road image; obtain positions of a lane marking and an obstacle in front based on said front road image; after correction, calculate display information of said positions of said lane markings and said obstacles in front, to be overlapped with images of an actual traffic lane; utilize a motor control unit to adjust focal length or inclination angle of a projector unit, or inclination angle of a viewable panel, to produce overlap error correction values to correct said display information. Said projector unit projects large area display information overlapped entirely with images of said actual traffic lane onto said viewable panel or windshield, so that a driver can obtain vehicle driving information, to raise vehicle driving safety.