To obtain accurate, valid, and rich information from the questionnaires for internet addiction, a diagnostic classification test for internet addiction (the DCT-IA) was developed using diagnostic classification models (DCMs), a cutting-edge psychometric theory, based on DSM-5. A calibration sample and a validation sample were recruited in this study to calibrate the item parameters of the DCT-I...

Discourse relation classification is an important component for automatic discourse parsing and natural language understanding. The performance bottleneck of a discourse parser comes from implicit discourse relations, whose discourse connectives are not overtly present. Explicit discourse connectives can potentially be exploited to collect more training data to collect more data and boost the p...

The CoNLL-2015 shared task focuses on shallow discourse parsing, which takes a piece of newswire text as input and returns the discourse relations in a PDTB style. In this paper, we describe our discourse parser that participated in the shared task. We use 9 components to construct the whole parser to identify discourse connectives, label arguments and classify the sense of Explicit or Non-Expl...

The purpose of multi-focus image fusion is gathering the essential information and the focused parts from the input multi-focus images into a single image. These multi-focus images are captured with different depths of focus of cameras. A lot of multi-focus image fusion techniques have been introduced using considering the focus measurement in the spatial domain. However, the multi-focus image ...

DCT based image compression using blocks of size 32x32 is considered. An effective method of bit-plane coding of quantized DCT coefficients is proposed. Parameters of post-filtering for removing of blocking artifacts in decoded images are given. The efficiency of the proposed method for test images compression is analyzed. It is shown that the proposed method is able to provide the quality of d...

We present design of a two-dimensional (2-D) discrete cosine transform (DCT) circuit with built-in self-test (BIST) capability. After modifying an existing fast 2-D DCT algorithm to make it more flexible, we synthesized the data path and the controller using our high-level BIST synthesis tool and incorporated scan design to other modules. Our design achieves high fault coverage at small cost of...

<span>When compressing a video, the architecture is provided with width and height of frame along video as input. The multiple transform selection (MTS) techniques are used to compress video. Traditional discrete cosine transforms (DCT) other trigonometric (sine cosine) transforms, such DCT-8 DST-7, included in pool transforms. For best outcomes, two additional transforms-DST-2 DCT-5-were...

Non-blind watermarking is a form of with watermark image validation process that requires host image. The use the transform domain more robust and imperceptible. method resistant to various forms digital attacks. In this study, Discrete Cosine Transform (DCT) Wavelet (DWT) were selected as insertion algorithms. DCT faster attacks, especially in compression but has lower imperceptibility than DW...