Cheng‐Zen Yang
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View article: Changing Law of Permeability of Coal Reservoirs under Variable Pressure Conditions and Its Influence on Extraction Efficiency of Coalbed Methane
Changing Law of Permeability of Coal Reservoirs under Variable Pressure Conditions and Its Influence on Extraction Efficiency of Coalbed Methane Open
Coal permeability data are critical in the prevention and control of coal and gas outbursts in mines and are an important reservoir parameter for the development of coalbed methane. The mechanism by which permeability is affected by gas pr…
View article: Changing Law of Permeability of Coal Reservoirs under Variable Pressure Conditions and Its Influence on Extraction Efficiency of Coalbed Methane
Changing Law of Permeability of Coal Reservoirs under Variable Pressure Conditions and Its Influence on Extraction Efficiency of Coalbed Methane Open
Coal permeability data are critical in the prevention and control of coal and gas outbursts in mines and are an important reservoir parameter for the development of coalbed methane. The mechanism by which permeability is affected by gas pr…
View article: Performance and application of new inorganic retarding sealing material suitable for multi-scale fractures
Performance and application of new inorganic retarding sealing material suitable for multi-scale fractures Open
Gas extraction is an important way to solve coal mine gas in China. At present, the development of new and more efficient gas sealing materials is an urgent problem in China's coal mining industry. In order to improve the gas extraction ef…
View article: Molecular interaction-based fluorescence sensing technologies and their application
Molecular interaction-based fluorescence sensing technologies and their application Open
Sensing technology is a cutting-edge technological approach, which makes it much easier to extract information. Molecular interaction is an indispensable part in the sensing technology process, where the chemical, optical and electrical pr…
View article: True triaxial experimental study on the influence of axial pressure on coal permeability
True triaxial experimental study on the influence of axial pressure on coal permeability Open
The permeability of coal is a key parameter affecting coal and gas outbursts and coal seam gas drainage. The permeability is clearly affected by geo-stress. In this study, the influence of the axial pressure on the permeability of the coal…
View article: Enhancing Energy Efficiency of the Doze Mode Mechanism in Ethernet Passive Optical Networks Using Support Vector Regression
Enhancing Energy Efficiency of the Doze Mode Mechanism in Ethernet Passive Optical Networks Using Support Vector Regression Open
An Ethernet passive optical network (EPON) is an optical access network that allows a higher data rate with low power consumption. To improve energy savings for an EPON, the sleep and doze modes for the optical network units (ONUs) play a …
View article: A Clinical Decision Support System for Diabetes Patients with Deep Learning: Experience of a Taiwan Medical Center
A Clinical Decision Support System for Diabetes Patients with Deep Learning: Experience of a Taiwan Medical Center Open
Background: Diabetes mellitus (DM) is a major public health problem worldwide. It involves dysfunction of blood sugar regulation resulting from insulin resistance, inadequate insulin secretion, or excessive glucagon secretion. Me…
View article: A Clinical Decision Support System for Diabetes Patients with Deep Learning: Experience of a Taiwan Medical Center
A Clinical Decision Support System for Diabetes Patients with Deep Learning: Experience of a Taiwan Medical Center Open
Background: Diabetes mellitus (DM) is a major public health problem worldwide. It involves dysfunction of blood sugar regulation resulting from insulin resistance, inadequate insulin secretion, or excessive glucagon secretion. Methods: Thi…
View article: Severity Prediction for Bug Reports Using Multi-Aspect Features: A Deep Learning Approach
Severity Prediction for Bug Reports Using Multi-Aspect Features: A Deep Learning Approach Open
The severity of software bug reports plays an important role in maintaining software quality. Many approaches have been proposed to predict the severity of bug reports using textual information. In this research, we propose a deep learning…
View article: Security Verification for Cyber-Physical Systems Using Model Checking
Security Verification for Cyber-Physical Systems Using Model Checking Open
A malicious attack may endanger human life or pollute environment on a cyber-physical system (CPS). However, successfully attacking a CPS needs not only the knowledge of information technology (IT) but also the domain knowledge of the syst…
View article: NaN<sub>3</sub> Assisting Synthesis of Hierarchical constructed Transition (Co/Ni) Metal Organic Framework (MOF)
NaN<sub>3</sub> Assisting Synthesis of Hierarchical constructed Transition (Co/Ni) Metal Organic Framework (MOF) Open
NaN 3 , as a kind of rich-nitrogen energetic material, engaged in the synthesis of hierarchical transition metal (Co/Ni) organic framework materials (MOFs) through a facile hydrothermal reaction, during which aqueous N 3 − function groups …
View article: LAD: A Layout Anomaly Detector for Android Applications
LAD: A Layout Anomaly Detector for Android Applications Open
In recent years, Android has become one of the most popular mobile operating systems.Software testing of Android applications becomes a very important issue.In the past research, many studies focus on functional testing.Recently, some stud…
View article: Towards an Improvement of Bug Report Summarization Using Two-Layer Semantic Information
Towards an Improvement of Bug Report Summarization Using Two-Layer Semantic Information Open
Bug report summarization has been explored in past research to help developers comprehend important information for bug resolution process. As text mining technology advances, many summarization approaches have been proposed to provide sub…
View article: A Predictive Logistic Regression Based Doze Mode Energy-Efficiency Mechanism in EPON
A Predictive Logistic Regression Based Doze Mode Energy-Efficiency Mechanism in EPON Open
Ethernet passive optical network (EPON) is one of the energy-efficient access networks. Many studies have been done to reach maximum energy saving in the EPON. However, it is a trade-off between achieving maximum energy saving and guarante…