Cognitive Grounding and Its Adaptability to Chinese Noun Studies

Cognitive Grammar is a linguistic theory represented by the symbolic thesis and the usage-based thesis. Cognitive grounding theory is a newly fledged theory in CG. Studies related to grounding have been in their infancy, exhibiting a typological vigor. There have been so far no systematic studies devoted to the grounding system of the Chinese language. Chinese grammar studies applying modern Western linguistic theories have long been the pursuit of scholars from generation to generation. This paper is devoted to introduce grounding theory and then focus on its adaptability to Chinese noun studies. It is concluded that (1) grounding is a cognitive process in which the construal of entities becomes more subjective, and in which a type concept is changed into instances that are singled out by the interlocutors; (2) grounding theory and Chinese noun studies have high adaptability, so Chinese noun studies can be approached from the perspective of Chinese nominal grounding

Effective Audio Classification Network Based on Paired Inverse Pyramid Structure and Dense MLP Block

Recently, massive architectures based on Convolutional Neural Network (CNN) and self-attention mechanisms have become necessary for audio classification. While these techniques are state-of-the-art, these works' effectiveness can only be guaranteed with huge computational costs and parameters, large amounts of data augmentation, transfer from large datasets and some other tricks. By utilizing the lightweight nature of audio, we propose an efficient network structure called Paired Inverse Pyramid Structure (PIP) and a network called Paired Inverse Pyramid Structure MLP Network (PIPMN). The PIPMN reaches 96\% of Environmental Sound Classification (ESC) accuracy on the UrbanSound8K dataset and 93.2\% of Music Genre Classification (MGC) on the GTAZN dataset, with only 1 million parameters. Both of the results are achieved without data augmentation or model transfer. Public code is available at: https://github.com/JNAIC/PIPM

To Study Effects of Using Human Presenter in Product Image: Applying an Eye-tracker VS Facial Expression Translation

Eye tracking is the process of measuring either the point of gaze or the motion of an eye relative to the head. An eye tracker is a device for measuring eye positions and eye movement. Eye trackers are used in research on the visual system, in psychology, in psycholinguistics, marketing, as an input device for human-computer interaction, and in product design. Previous study applies an eye-tracker to investigate effects of using human presenter in product images and conclude that eye-tracker data can be used for eye-gaze data collection and analyzed for further statistical conclusion [8]. The result indicates that product image with positive emotion female presenter gets the highest fixation duration, however, not significantly higher than fixation duration of other types of product images. However, Eye tracking by professional eye-tracker is not an affordable research method for most researches. Facial expression translation is a new function comes from “Youdao translate officer” which can be downloaded from apple APP store for free; It can indicate human facial expression in eight dimensions (i.e., happiness, angry, fear, contempt, disgust, calm, surprise, sad) with values. We are proposed to use this free technical to investigate effects of using human present in product images and compare the results with studies applies eye-tracker previously. A fresh accepted research method could be discovered by this study, and give an optional research mothed in relative field

Smart Manufacturing Capability Maturity Model: Connotation, Feature And Trend

In March 2015, the Chinese government unveiled InternetPlus, an action plan expected to push forward the Chinese economy. The plan aims to integrate mobile Internet, cloud computing, big data, and the Internet of Things (IoT) with traditional industries to promote economic restructuring, improve people’s livelihoods, and even transform government and enterprises functions. However for the enterprises, how to evaluate the capability is still an unsolved issue. In this study, considering capability maturity theory and model existed, we summarized the concepts of smart manufacturing and relative research field, combined with the development trend of smart manufacturing and characteristics of the enterprise\u27s competition, a smart manufacturing capability maturity initial model with five levels and seven dimensions was defined. With this model, the connotation of smart manufacturing capability was unveiled and the model also provides reference for enterprises to assess and improve smart manufacturing capability