Abstract in simplified Chinese:本发明提供一种多层复合物前驱体(2),其包含:i.基板(4),其中该基板(4)包含:1.发光有机化合物;2.第一表面(8);及3.第二表面(10),其中该第二表面(10)为透明导电层(12)所覆盖,ii.覆盖该第一表面(8)之至少一部份之液相(18),其包含金属有机化合物,其中该金属有机化合物包含有机部份,其中该有机部份包含C=O基团;且其中该液相(18)另外包含第一硅化合物,其中该第一硅化合物包含至少一个碳原子及至少一个氮原子。
Abstract in simplified Chinese:本发明是关于一种用于主动矩阵显示器的像素结构及方法,其目的在于简化像素电极及像素定义层之制造步骤并消除依据像素电极之图案化形成于像素电极之边缘部分之端子所引起之问题。本发明之像素结构包括基底基板、多个像素电路电极、绝缘层及复合层。多个像素电路电极以矩阵形态排列于基底基板上。绝缘层以覆盖多个像素电路电极之外廓之方式形成于基底基板之上部。继而,复合层以覆盖多个像素电路电极与绝缘层之上部而一体化形成。此时,复合层包括分别与自绝缘层露出之多个像素电路电极连接形成之导电性之像素电极及像素电极外廓之非导电性之像素定义层。此时,复合层以导电性聚合物为基础所形成,将导电性聚合物之电阻特性改变成非导电性而形成像素定义层,其余由像素电极所形成。
Abstract:
Proposed is an artificial intelligence (AI) model-based analysis method for an optimal design of a secondary battery electrolyte. The AI model-based analysis method may include obtaining a tomography image of a calendared battery material, and inputting the tomography image to a pre-trained AI model. The method may also include outputting a viscosity and a transmittance of a battery electrolyte through the AI model. The AI model may include a first AI model configured to analyze porosity distribution and tortuosity information about the tomography image input thereto. The AI model may also include a second AI model configured to output a viscosity and a transmittance corresponding to the electrolyte, based on the porosity distribution and tortuosity information.
Abstract:
There is provided a training dataset construction method for speech synthesis through fusion of language, speaker, emotion within an utterance. A training dataset construction method of a speech synthesis model according to an embodiment collects speech data having different speech utterance information, increases the speech data by fusing the collected speech data within one utterance, and generates a training dataset by using the increased speech data. Accordingly, a training dataset for speech synthesis is constructed through fusion of language, speaker, emotion within one utterance, so that quality of speech synthesis of multi-speaker/multi-language/emotion can be enhanced.
Abstract:
Provided are a method and a system for generating a human animation from SMPL series parameters. An animation generation method according to an embodiment includes: extracting, by a motion extraction module, motion information from an image content; converting, by a motion conversion module, the extracted motion information into parameters required by an animation generation module; and generating, by the animation generation module, a motion image of a human object from the converted motion information. Accordingly, an animation accurately showing motions of an object appearing in an image content by a more realistic 3D model may be generated and digital human contents of high reality may be created and used.
Abstract:
A method of generating a predictive model is proposed. The method may include receiving single time-series data or multiple types of time-series data collected in a specific domain, drawing time-series data corresponding to the same domain and time interval, among the received single time-series data or multiple types of time-series data. The method may also include pre-processing the drawn time-series data by applying a pre-processing pipeline built by applying at least one pre-processing module to the drawn time-series data, and generating a pattern classification model for classifying patterns of the pre-processed time-series data based on the clustering of the pre-processed time-series data. The method may further include generating a predictive model for predicting feature information of the drawn time-series data based on a cluster that is generated as the results of the clustering of the pre-processed time-series data, and storing the pattern classification model and the predictive model.
Abstract:
Proposed is a positive electrode containing a positive electrode active material having a multimodal particle-size distribution to suppress particle crack of the positive electrode active material caused by pressure applied during a positive electrode and cell manufacturing process, thereby exhibiting excellent electrical characteristics. In addition, an all-solid-state battery including the positive electrode is proposed. The positive electrode may include a positive electrode active material formed of a lithium transition metal oxide and having a multimodal particle-size distribution in which particles with relatively small particle diameters have greater particle strength than particles with relatively large particle diameters.
Abstract:
A continuous hologram recording method is provided. A holographic printer according to an embodiment of the present invention comprises: a light source that emits light; a modulator that modulates the light emitted from the light source, to generate a holographic fringe pattern in units of hogels; a stage having placed thereon a hologram recording medium on which a holographic fringe pattern generated by the modulator is to be recorded in units of hogels; a first driving unit that moves the position of the stage in a first axial direction by using a first-type motor; and a second driving unit that moves the position of the stage in a second axial direction by using a second-type motor different from the first type. Accordingly, continuous hologram recording is enabled by appropriately implementing a motor that moves the stage on which the hologram recording medium is placed, according to vibration characteristics, thereby remarkably reducing the printing time for large holograms, which used to take several days to tens of days, and thus accelerating the commercialization of hologram printing.
Abstract:
A patch based depth mapping method and apparatus for high-efficiency encoding/decoding of a plenoptic video is proposed. The method may be performed in an electronic apparatus to classify a reference image and an additional image from a plenoptic video during encoding the plenoptic video and then generate an atlas including a patch using the additional image. The method may include mapping a depth value by applying minimum-maximum linear scaling in units of an input viewpoint image. The method may also include finding a minimum value and a maximum value of the depth value per the patch and remapping the depth value through minimum-maximum linear scaling.