Aiming at the low recognition rate of traditional gesture, a gesture recognition algorithm based on spatiotemporal graph convolution network is proposed in this paper. Firstly, the dynamic gesture data were preprocessed...
Corrugated paper industry is an indispensable industry and it has been developed for more than fifty years. Hence, it is important for a firm to find its core competence, study effective business strategies, and form a long-term...
There is a subject-object asymmetry in Chinese, such that the extraction of a possessor NP from a possessive NP is quite free from subject position but restricted from object position. A possessive tJP consists of a possessor NP...
In der vorliegenden Arbeit befasse ich mich mit der Problematik derEmpfindung, bzw. der Hyle, in Husserls Phänomenologie und derentsprechenden Auslegung von Ludwig Landgrebe. Husserl verwendet denBegriff der Empfindung, bzw. der...
Resource depletion and environmental degradation are moving society toward a hierarchical model of environmental concerns and green purchase intention. Companies and individuals have not only been awakened to these issues but...
Both researchers and practitioners have attached great importance to the measurement and evaluation of hotel customer satisfaction. However, there are several problems in the dimensions, methods and conclusions. Thus, it is...
The aim of process discovery is to discover process models from the process execution data stored in event logs. In the era of “Big Data,” one of the key challenges is to analyze the large amounts of collected data in meaningful...
This study utilizes the literature education section of an online holistic environment to: (1) develop a literature education survey based on Miller’s (2007) theory of holistic education, (2) explore the effect of students’...
The study aims to investigate how pre-editing based on controlled Chinese rules can be an effective approach to improving Chinese-to-English machine translation (MT) output. Based on the analysis of comparable texts, and by...
Studies have focused on elucidating the sharing behavior of media users. However, few studies have specifically investigated users' health information sharing behavior in the social media context, especially WeChat. This study...
Product country-of-origin (COO) is now playing a central role in consumers’ purchase behavior. Previous studies have investigated several factors that impact COO. However, little attention has been paid to the impact of COO on...
A mobile application (App) is an application designed to run on a smartphone, tablet, or other mobile device. With the continuous change of mobile payment applications in smart phones and the support of the banking system, the...
Machine learning is a broad field that contains multiple fields of discipline including mathematics, computer science, and data science. Some of the concepts, like deep neural networks, can be complicated and difficult to...
For e-commerce companies, it is easier to obtain a large amount of aggregated data about user behavior with the help of embedded network platforms, which contains valuable information that helps to form effective...
This study focuses on the restorative effects of immersive virtual reality (VR) forest experiences on elderly people during the COVID-19 lockdown. A field experiment with 63 elderly participants was conducted in an elderly care...
Near Field Communication (NFC) mobile payment systems allow users to utilize services through smartphones. There is insufficient literature exploring the adoption of NFC with payment scenarios in developing countries. This study...
To solve some problems of particle swarm optimization, such as the premature convergence and falling into a sub-optimal solution easily, we introduce the probability initialization strategy and genetic operator into the...
Prediction of stock price movement is regarded as a challenging task of financial time series prediction. Due to the complexity and massive financial market data, the research of deep learning approaches for predicting the...
The research proposes an innovated structure of the density map-based crowd counting network augmented by information entropy. The network comprises of a front-end network to extract features and a back-end network to generate...
With the characteristic of low carbon emission and sustainability, the development of rural tourism becomes one of the key parts to achieve mutual carbon target in Chinese tourism industry. However, previous research on China's...
Because of the growing competition and challenges within the global business environment, understanding performance management has become essential to small- and medium-sized enterprises (SMEs) as they have traditionally...
The sports lottery industry is growing globally, especially in the online betting market. This study focuses on online sports lottery behavior and tries to propose a framework applied in a virtual environment. Based on the...
This paper presents an ontology-based approach to benefit automatic fertilization management for citrus orchards located in mountainous region. The core of the fertilization approach is the citrus fertilization ontology, which...
The objective of this article is to design a game theory-based model to outline the role of the government, firm and civil society for environmental sustainability. The study used the dynamic game theory of complete information....
This study makes use of online teaching in this environment and adopts it for use in a required computer skills course with Cognitive apprenticeship (CA) and Co-regulated learning (CRL) teaching methods to improve students’...