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Results: 72
Filtering Infrequent Behavior in Business Process Discovery by Using the Minimum Expectation
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...
Published by: IGI Global
Reversible Data Hiding Based on Adaptive Block Selection Strategy
Recently, a reversible data hiding (RDH) method was proposed based on local histogram shifting. This method selects the peak bin of the local histogram as a reference and expands the two neighboring bins of the peak bin to carry...
Published by: IGI Global
The Rise of China
The China threat theory has been prevalent in recent years. Focusing on each of the four East Asian states, this article examines why China is perceived as a threat. This article discusses the origin of China’s rapid economic...
Movement from Object Position in Chinese
Zhong-ying Lu
Sep 05, 2013
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...
Woher kommt die Hyle? Eine Analyse zur Landgrebeschen Antwort
Ying-Chien Yang
Apr 22, 2021
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...
Automatic Generation of ROP Through Static Instructions Assignment and Dynamic Memory Analysis
W⊕X is a protection mechanism against control-flow hijacking attacks. Return-oriented programming (ROP) can perform a specific function by searching for appropriate assembly instruction fragments (gadgets) in a code segment and...
Published by: IGI Global
Introduction
We are grateful for the opportunity to work on Mapping Politics, the peer-reviewed political science journal of Memorial University. This volume has excellent scholarship that will be exposed to a wider audience than ever.This...
The Impact of Digital Twins on Local Industry Symbiosis Networks in Light of the Uncertainty Caused by the Public Crisis
Digital twins provide a solution for information-sharing between enterprises, thereby alleviating uncertainties in the supply chain. In light of the public crisis caused by COVID-19, the authors suggest a signal game model for a...
Published by: IGI Global
An Exploration Study on the Consequence of the COVID-19 Pandemic on Online Q&A Communities
This work aims to document a two-sided impact of the COVID-19 pandemic on online question and answer communities. It implements empirical analyses on subsidiary communities affiliating to the Stack Exchange network. Using a...
Published by: IGI Global
Learning Trajectory Patterns via Canonical Correlation Analysis
A substantial body of research has been devoted to the analysis of motion trajectories. Usually, a motion trajectory consists of a set of coordinates, which is called a raw trajectory. In this paper, the authors first use...
Published by: IGI Global
Improved Model Based on GoogLeNet and Residual Neural Network ResNet
Xuehua Huang
Jan 01, 2022
To improve the accuracy of image classification, a kind of improved model is proposed. The shortcut is added to GoogLeNet inception v1 and several other ways of shortcut are given, and they are GRSN1_2, GRSN1_3, GRSN1_4. Among...
Published by: IGI Global
Designing Controlled Chinese Rules for MT Pre-Editing of Product Description Text
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...
Published by: IGI Global
Understanding the Health Information Sharing Behavior of Social Media Users
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...
Published by: IGI Global
User's Segmentation on Continued Knowledge Management System Use in the Public Sector
Chi-Cheng Huang
Jan 01, 2020
Knowledge management systems (KMS) can help an organization support knowledge management activities and thereby increase organizational performance. This study extends the expectation-confirmation model for predicting mandatory...
Published by: IGI Global
Measuring Enterprise Mutual Information Based on the Helix Model
In the context of digital transformation, this emerging technologies input creates powerful digital capabilities. Despite of the long distance, The enterprises cooperate more closely through wireless networks in digital space...
Published by: IGI Global
Exploring the Impact of Country-of-Origin Image and Purchase Intention in Cross-Border E-Commerce
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...
Published by: IGI Global
A Predictive and Trajectory-Aware Edge Service Allocation Approach in a Mobile Computing Environment
Ling Huang, Bin Shuai
Jan 01, 2022
The mobile edge computing (MEC) model is featured by the ability to provision elastic computing resources close to user requests at the edge of the internet. This paradigm moves traditional digital infrastructure close to mobile...
Published by: IGI Global
Water Resources Assessment and Management for Nuclear Power Plants in China
To deal with global warming and energy shortage, nuclear power plants are constructed or planning to be constructed in China presently. The operation of a nuclear power plant consumes a great amount of water and discharges a lot...
Research of Image Recognition of Plant Diseases and Pests Based on Deep Learning
Deep learning has attracted more and more attention in speech recognition, visual recognition and other fields. In the field of image processing, using deep learning method can obtain high recognition rate. In this paper, the...
Published by: IGI Global
Supplier Evaluation and Selection System of Embedded E-Commerce Platform Based on Big Data
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...
Published by: IGI Global
The Restorative Effects of Virtual Reality Forests on Elderly Individuals During the COVID-19 Lockdown
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...
Published by: IGI Global
On Cost-Aware Heterogeneous Cloudlet Deployment for Mobile Edge Computing
Edge computing undertakes downlink cloud services and uplink terminal computing tasks, data interaction latency and network transmission cost are thus significantly reduced. Although a lot of research has been conducted in...
Published by: IGI Global
A Novel Particle Swarm Optimization With Genetic Operator and Its Application to TSP
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...
Published by: IGI Global
CVaR Prediction Model of the Investment Portfolio Based on the Convolutional Neural Network Facilitates the Risk Management of the Financial Market
In summary, firstly, a method for establishing a portfolio model is proposed based on the risk management theory of the financial market. Then, a prediction model for CVaR is established based on the convolutional neural...
Published by: IGI Global

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