Abstract. For a plate subject to stress boundary condition, the deformation determined by the Reissner–Mindlin plate bending model could be bending dominated, transverse shear dominated, or neither...
An asymptotic analysis on the form of Naghdi type arch model (2009)
We consider a one-dimensional model of generally curved elastic arches whose crosssections are rectangular. The model is of Naghdi’s type which is a generalization of the Timoshenko beam model,...
Equivalence estimates for a class of singular perturbation problems (2009)
We give some equivalence estimates on the solution of a singular perturbation problem that represents, among other models, the Koiter and Naghdi shell models. Two of the estimates apply to...
Analysis of finite element domain embedding methods for curved domains using uniform grids (2009)
Abstract. We analyze the error of a finite element domain embedding method for elliptic equations on a domain ω with curved boundary. The domain is embedded in a rectangle R on which uniform mesh...
(Communicated by Yanping Lin) Abstract. We clarify the validity of a method that decouples a boundary value problem of biharmonic equation to two Poisson equations on polygonal domains. The method...
A New Blind Underground Species of the Genus Protocobitis (Cobitidae) from Guangxi, China (2009)
ZHU, Yu, LÜ, Ye-jian, YANG, Jun-xing, ZHANG, Sheng
A new species of the genus Protocobitis, was discovered in an underground water source (110 m depth) located about 5 km away from the county town of Wuming, Guangxi, China, in May 2006. The new...
Universal mesoscopic statistics and the localization of light (2009)
Park, Jongchul, Zhang, Sheng, Genack, Azriel Z.
We follow the evolution with sample thickness, of intensity statistics for localized light transmitted through layered media in a crossover from one to three dimensions occasioned by transverse...
Photon delocalization transition in dimensional crossover in layered media (2009)
Zhang, Sheng, Park, Jongchul, Milner, Valery, Genack, Azriel Z.
We report a crossover in optical propagation in random layered media from localization towards diffusion as the interaction of the wave with the sample is transformed from one to three-dimensional...
Zhang, Sheng, Lockerman, Yitzchak, Genack, Azriel Z.
We have measured the local and global statistics of singularity velocity, v, and have related these through the spatial correlation function of v. The distribution of v is a mixture of a mesoscopic...
1. A general formulation of the problems Much of my recent work is on mathematical models that fit in a general form. In this section, I describe this form and list the problems related to my work as...
An asymptotic analysis on the form of Naghdi type arch model (2008)
Abstract. We consider a one-dimensional model of generally curved elastic arches whose cross-sections are rectangular. The model is of Naghdi’s type that is a generalization of the Timoshenko beam...
Tuning magnetic frustration of nanomagnets in triangular-lattice geometry (2008)
Ke, Xianglin, Li, Jie, Zhang, Sheng, Nisoli, Cristiano, Crespi, Vincent H., Schiffer, Peter
We study the configuration of magnetic moments on triangular lattices of single-domain ferromagnetic islands, examining the consequences of magnetostatic interactions in this frustrated geometry. By...
Continuous Verification Using (2008)
Multimodal Biometrics, Sheng Zhang, Rajkumar Janakiraman, Terence Sim, Eep Kumar
Abstract. In this paper we describe a system that continually verifies the presence/participation of a logged-in user. This is done by integrating multimodal passive biometrics in a Bayesian...
Abstract. We prove sharp convergence rates for a class of domain embedding methods for elliptic boundary value problems. The theory is established for Dirichlet, Neumann, and Robin boundary...
Providing Anonymity in Wireless Sensor Networks (2008)
Yi Ouyang, Zhengyi Le, Yurong Xu, Nikos Tri, Sheng Zhang, James Ford, ...
Abstract—Sensor networks are often used to monitor sensitive information from the environment or track sensitive objects’ movements. Anonymity has become an important problem in sensor networks,...
Sheng Zhang, Zhimin Zhang, Communicated Yanping Lin
Abstract. We clarify the validity of a method that decouples a boundary value problem of biharmonic equation to two Poisson equations on polygo-nal domains. The method provides a way of computing...
Using Continuous Biometric Verification to Protect Interactive Login Sessions (2008)
Sandeep Kumar, Terence Sim, Rajkumar Janakiraman, Sheng Zhang
In this paper we describe the theory, architecture, implementation, and performance of a multi-modal passive biometric verification system that continually verifies the presence/participation of a...
When Fisher meets Fukunaga-Koontz: A New Look at Linear Discriminants (2008)
The Fisher Linear Discriminant (FLD) is commonly used in pattern recognition. It finds a linear subspace that maximally separates class patterns according to Fisher’s Criterion. Several methods of...
Analysis of finite element domain embedding methods for curved domains using uniform grids (2008)
Abstract. We analyze the error of a finite element domain embedding method for elliptic equations on a domain ω with curved boundary. The domain is embedded in a rectangular domain R on which...
Attack Detection in Time Series for Recommender Systems ABSTRACT (2008)
Sheng Zhang, Amit Chakrabarti, James Ford, Fillia Makedon
Recent research has identified significant vulnerabilities in recommender systems. Shilling attacks, in which attackers introduce biased ratings in order to influence future recommendations, have...
ABSTRACT Analysis of a Low-dimensional Linear Model under Recommendation Attacks (2008)
Sheng Zhang, Yi Ouyang, James Ford, Fillia Makedon
Collaborative filtering techniques have become popular in the past decade as an effective way to help people deal with information overload. Recent research has identified significant vulnerabilities...
XAR-Miner: Efficient Association Rules Mining for XML Data (2008)
In this paper, we propose a framework, called XAR-Miner, for mining ARs from XML documents efficiently. In XAR-Miner, raw data in the XML document are first preprocessed to transform to either an...
An International Trade Negotiation Framework for E-Government ⋆ (2008)
Sheng Zhang, Fillia Makedon, James Ford, Calliope Sudborough, Lin Ai, Sarantos Kapidakis, ...
Abstract. International trade negotiations among national governments and organizations are usually arduous and complicated. We propose a framework that supports government to government negotiation....
ABSTRACT A Hybrid Negotiation Strategy Mechanism in an Automated Negotiation System ∗ (2008)
Sheng Zhang, Song Ye, Fillia Makedon, James Ford
This paper describes a hybrid negotiation strategy mechanism using a strategy pool framework that allows negotiation agents more flexibility and robustness in an automated negotiation system. The...
Statistics of diffusive and localized fields in the vortex core (2007)
Zhang, Sheng, Genack, Azriel Z
The statistics of the field structure in the vortex core surrounding phase singularities in random wave fields are measured and calculated for diffusive and localized waves. Excellent agreement is...
Discriminant subspace analysis: A Fukunaga-Koontz approach (2007)
The Fisher Linear Discriminant (FLD) is commonly used in pattern recognition. It finds a linear subspace that maximally separates class patterns according to the Fisher Criterion. Several methods of...
Zhang, Sheng, Hu, Bing, Sebbah, Patrick, Genack, Azriel Z
All random wave fields possess a network of phase singularities. We show that while the phase statistics within speckle patterns is generic, the statistics of the motion of phase singularities...
Asset health reliability estimation based on condition data (2007)
Zhang, Sheng, Ma, Lin, Sun, Yong, Mathew, Joseph
This paper presents a method using recursive Bayesian analysis to estimate asset health reliability. The method enables reliability analysis and prediction using degradation condition monitoring data...
Asset health reliability estimation based on condition data (2007)
Zhang, Sheng, Ma, Lin, Sun, Yong, Mathew, Joseph
This paper presents a method using recursive Bayesian analysis to estimate asset health reliability. The method enables reliability analysis and prediction using degradation condition monitoring data...
Asset health reliability estimation based on condition data (2007)
Zhang, Sheng, Ma, Lin, Sun, Yong, Mathew, Joseph
This paper presents a method using recursive Bayesian analysis to estimate asset health reliability. The method enables reliability analysis and prediction using degradation condition monitoring data...
Asset health reliability estimation based on condition data (2007)
Zhang, Sheng, Ma, Lin, Sun, Yong, Mathew, Joseph
This paper presents a method using recursive Bayesian analysis to estimate asset health reliability. The method enables reliability analysis and prediction using degradation condition monitoring data...
Asset health reliability estimation based on condition data (2007)
Zhang, Sheng, Ma, Lin, Sun, Yong, Mathew, Joseph
This paper presents a method using recursive Bayesian analysis to estimate asset health reliability. The method enables reliability analysis and prediction using degradation condition monitoring data...
Asset health reliability estimation based on condition data (2007)
Zhang, Sheng, Ma, Lin, Sun, Yong, Mathew, Joseph
This paper presents a method using recursive Bayesian analysis to estimate asset health reliability. The method enables reliability analysis and prediction using degradation condition monitoring data...
Sheng Zhang, Amit Chakrabarti, Chris Bailey-kellogg, Justin Pearlman, Sheng Zhang
For many users of information systems, “information overload ” has become a problem: the amount of information they must sift through has reached the point where it is overwhelming. Collaborative...
Asset health reliability estimation based on condition data (2007)
Zhang, Sheng, Ma, Lin, Sun, Yong, Mathew, Joseph
This paper presents a method using recursive Bayesian analysis to estimate asset health reliability. The method enables reliability analysis and prediction using degradation condition monitoring data...
Asset health reliability estimation based on condition data (2007)
Zhang, Sheng, Ma, Lin, Sun, Yong, Mathew, Joseph
This paper presents a method using recursive Bayesian analysis to estimate asset health reliability. The method enables reliability analysis and prediction using degradation condition monitoring data...
Reducing maintenance cost through effective prediction analysis and process integration (2006)
Mathew, Avin D., Zhang, Sheng, Ma, Lin, Earle, Tom, Hargreaves, Douglas J.
Asset management is playing an ever increasing role in sustaining the competitive capability of many businesses. Maintenance costs form a large proportion of asset management costs, and a reduction...
Zhang, Sheng, Mathew, Joseph, Ma, Lin, Sun, Yong
This paper presents an approach to automatically extract optimal features using Bayesian neural networks. Hyperparameters are used in Bayesian neural networks to reflect the significance of inputs to...
Reducing maintenance cost through effective prediction analysis and process integration (2006)
Mathew, Avin, Zhang, Sheng, Ma, Lin, Earle, Tom, Hargreaves, Doug
Asset management is playing an ever increasing role in sustaining the competitive capability of many businesses. Maintenance costs form a large proportion of asset management costs, and a reduction...
Zhang, Sheng, Mathew, Joseph, Ma, Lin, Sun, Yong
This paper presents an approach to automatically extract optimal features using Bayesian neural networks. Hyperparameters are used in Bayesian neural networks to reflect the significance of inputs to...
Reducing maintenance cost through effective prediction analysis and process integration (2006)
Mathew, Avin D., Zhang, Sheng, Ma, Lin, Earle, Tom, Hargreaves, Douglas J.
Asset management is playing an ever increasing role in sustaining the competitive capability of many businesses. Maintenance costs form a large proportion of asset management costs, and a reduction...
Zhang, Sheng, Mathew, Joseph, Ma, Lin, Sun, Yong
This paper presents an approach to automatically extract optimal features using Bayesian neural networks. Hyperparameters are used in Bayesian neural networks to reflect the significance of inputs to...
A water utility industry conceptual asset management data warehouse model (2006)
Mathew, Avin D., Zhang, Sheng, Ma, Lin, Hargreaves, Douglas J.
Timely decision making is critical in today’s competitive business world and in recent times, data warehousing has been employed by numerous companies to satisfy the needs of accurate and timely...
Machinery condition prognosis using multivariate analysis (2006)
Zhang, Sheng, Hodkiewicz, Melinda, Ma, Lin, Mathew, Joseph
Condition prognosis is an essential element for predicting the health of physical assets. Prognosis enables a projection of asset condition progression from the past and current into the future, thus...
Built-in self-test design optimization for scan-based circuits (2006)
The move to deep-sub-micron processing technology and the increasing complexity of a single chip makes testability a key problem in VLSI design and scan insertion a broadly accepted solution in the...
A water utility industry conceptual asset management data warehouse model (2006)
Mathew, Avin, Zhang, Sheng, Ma, Lin, Hargreaves, Doug
Timely decision making is critical in today’s competitive business world and in recent times, data warehousing has been employed by numerous companies to satisfy the needs of accurate and timely...
Machinery condition prognosis using multivariate analysis (2006)
Zhang, Sheng, Hodkiewicz, Melinda, Ma, Lin, Mathew, Joseph
Condition prognosis is an essential element for predicting the health of physical assets. Prognosis enables a projection of asset condition progression from the past and current into the future, thus...
A review of the MIMOSA OSA-EAI database for condition monitoring systems (2006)
Mathew, Avin D., Zhang, Liqun, Zhang, Sheng, Ma, Lin
Condition monitoring systems are prevalent in industries that contain critical assets. Their use allows the detection of potential failures at an early stage in order to minimise downtime and...
A review of the MIMOSA OSA-EAI database for condition monitoring systems (2006)
Mathew, Avin D., Zhang, Liqun, Zhang, Sheng, Ma, Lin
Condition monitoring systems are prevalent in industries that contain critical assets. Their use allows the detection of potential failures at an early stage in order to minimise downtime and...
Implementation of Asset Health Assessment System with Pattern-Oriented Design and Practice (2006)
Zhang, Liqun, Mathew, Avin D., Zhang, Sheng, Ma, Lin
To integrate condition monitoring and reliability analysis with asset life-cycle management, a general-purpose asset health assessment system architecture is being developed. This system will assist...
Implementation of Asset Health Assessment System with Pattern-Oriented Design and Practice (2006)
Zhang, Liqun, Mathew, Avin D., Zhang, Sheng, Ma, Lin
To integrate condition monitoring and reliability analysis with asset life-cycle management, a general-purpose asset health assessment system architecture is being developed. This system will assist...
Feature group optimization for machinery fault diagnosis based on fuzzy measures (2006)
Liu, Xiaofeng, Ma, Lin, Zhang, Sheng, Mathew, Joseph
With the development of modern multi-sensor based data acquisition technology often used with advanced signal processing techniques, more and more features are being extracted for the purposes of...
Built-in self-test design optimization for scan-based circuits [electronic resource] / (2006)
Electronic text and images (PDF).
A water utility industry conceptual asset management data warehouse model (2006)
Mathew, Avin D., Zhang, Sheng, Ma, Lin, Hargreaves, Douglas J.
Timely decision making is critical in today’s competitive business world and in recent times, data warehousing has been employed by numerous companies to satisfy the needs of accurate and timely...
Reducing maintenance cost through effective prediction analysis and process integration (2006)
Mathew, Avin D., Zhang, Sheng, Ma, Lin, Earle, Tom, Hargreaves, Douglas J.
Asset management is playing an ever increasing role in sustaining the competitive capability of many businesses. Maintenance costs form a large proportion of asset management costs, and a reduction...
Zhang, Sheng, Mathew, Joseph, Ma, Lin, Sun, Yong
This paper presents an approach to automatically extract optimal features using Bayesian neural networks. Hyperparameters are used in Bayesian neural networks to reflect the significance of inputs to...
Machinery condition prognosis using multivariate analysis (2006)
Zhang, Sheng, Hodkiewicz, Melinda, Ma, Lin, Mathew, Joseph
Condition prognosis is an essential element for predicting the health of physical assets. Prognosis enables a projection of asset condition progression from the past and current into the future, thus...
A review of the MIMOSA OSA-EAI database for condition monitoring systems (2006)
Mathew, Avin D., Zhang, Liqun, Zhang, Sheng, Ma, Lin
Condition monitoring systems are prevalent in industries that contain critical assets. Their use allows the detection of potential failures at an early stage in order to minimise downtime and...
Implementation of Asset Health Assessment System with Pattern-Oriented Design and Practice (2006)
Zhang, Liqun, Mathew, Avin D., Zhang, Sheng, Ma, Lin
To integrate condition monitoring and reliability analysis with asset life-cycle management, a general-purpose asset health assessment system architecture is being developed. This system will assist...
Feature group optimization for machinery fault diagnosis based on fuzzy measures (2006)
Liu, Xiaofeng, Ma, Lin, Zhang, Sheng, Mathew, Joseph
With the development of modern multi-sensor based data acquisition technology often used with advanced signal processing techniques, more and more features are being extracted for the purposes of...
Built-in self-test design optimization for scan-based circuits (2006)
Thesis (Ph.D.)--University of Nebraska-Lincoln, 2006.
Feature group optimization for machinery fault diagnosis based on fuzzy measures (2006)
Liu, Xiaofeng, Ma, Lin, Zhang, Sheng, Mathew, Joseph
With the development of modern multi-sensor based data acquisition technology often used with advanced signal processing techniques, more and more features are being extracted for the purposes of...
A water utility industry conceptual asset management data warehouse model (2006)
Mathew, Avin D., Zhang, Sheng, Ma, Lin, Hargreaves, Douglas J.
Timely decision making is critical in today’s competitive business world and in recent times, data warehousing has been employed by numerous companies to satisfy the needs of accurate and timely...
Machinery condition prognosis using multivariate analysis (2006)
Zhang, Sheng, Hodkiewicz, Melinda, Ma, Lin, Mathew, Joseph
Condition prognosis is an essential element for predicting the health of physical assets. Prognosis enables a projection of asset condition progression from the past and current into the future, thus...
A review of the MIMOSA OSA-EAI database for condition monitoring systems (2006)
Mathew, Avin D., Zhang, Liqun, Zhang, Sheng, Ma, Lin
Condition monitoring systems are prevalent in industries that contain critical assets. Their use allows the detection of potential failures at an early stage in order to minimise downtime and...
Implementation of Asset Health Assessment System with Pattern-Oriented Design and Practice (2006)
Zhang, Liqun, Mathew, Avin D., Zhang, Sheng, Ma, Lin
To integrate condition monitoring and reliability analysis with asset life-cycle management, a general-purpose asset health assessment system architecture is being developed. This system will assist...
Feature group optimization for machinery fault diagnosis based on fuzzy measures (2006)
Liu, Xiaofeng, Ma, Lin, Zhang, Sheng, Mathew, Joseph
With the development of modern multi-sensor based data acquisition technology often used with advanced signal processing techniques, more and more features are being extracted for the purposes of...
A water utility industry conceptual asset management data warehouse model (2006)
Mathew, Avin D., Zhang, Sheng, Ma, Lin, Hargreaves, Douglas J.
Timely decision making is critical in today’s competitive business world and in recent times, data warehousing has been employed by numerous companies to satisfy the needs of accurate and timely...
Reducing maintenance cost through effective prediction analysis and process integration (2006)
Mathew, Avin D., Zhang, Sheng, Ma, Lin, Earle, Tom, Hargreaves, Douglas J.
Asset management is playing an ever increasing role in sustaining the competitive capability of many businesses. Maintenance costs form a large proportion of asset management costs, and a reduction...
Zhang, Sheng, Mathew, Joseph, Ma, Lin, Sun, Yong
This paper presents an approach to automatically extract optimal features using Bayesian neural networks. Hyperparameters are used in Bayesian neural networks to reflect the significance of inputs to...
Machinery condition prognosis using multivariate analysis (2006)
Zhang, Sheng, Hodkiewicz, Melinda, Ma, Lin, Mathew, Joseph
Condition prognosis is an essential element for predicting the health of physical assets. Prognosis enables a projection of asset condition progression from the past and current into the future, thus...
A review of the MIMOSA OSA-EAI database for condition monitoring systems (2006)
Mathew, Avin D., Zhang, Liqun, Zhang, Sheng, Ma, Lin
Condition monitoring systems are prevalent in industries that contain critical assets. Their use allows the detection of potential failures at an early stage in order to minimise downtime and...
Implementation of Asset Health Assessment System with Pattern-Oriented Design and Practice (2006)
Zhang, Liqun, Mathew, Avin D., Zhang, Sheng, Ma, Lin
To integrate condition monitoring and reliability analysis with asset life-cycle management, a general-purpose asset health assessment system architecture is being developed. This system will assist...
A water utility industry conceptual asset management data warehouse model (2006)
Mathew, Avin D., Zhang, Sheng, Ma, Lin, Hargreaves, Douglas J.
Timely decision making is critical in today’s competitive business world and in recent times, data warehousing has been employed by numerous companies to satisfy the needs of accurate and timely...
Reducing maintenance cost through effective prediction analysis and process integration (2006)
Mathew, Avin D., Zhang, Sheng, Ma, Lin, Earle, Tom, Hargreaves, Douglas J.
Asset management is playing an ever increasing role in sustaining the competitive capability of many businesses. Maintenance costs form a large proportion of asset management costs, and a reduction...
Zhang, Sheng, Mathew, Joseph, Ma, Lin, Sun, Yong
This paper presents an approach to automatically extract optimal features using Bayesian neural networks. Hyperparameters are used in Bayesian neural networks to reflect the significance of inputs to...
Machinery condition prognosis using multivariate analysis (2006)
Zhang, Sheng, Hodkiewicz, Melinda, Ma, Lin, Mathew, Joseph
Condition prognosis is an essential element for predicting the health of physical assets. Prognosis enables a projection of asset condition progression from the past and current into the future, thus...
A review of the MIMOSA OSA-EAI database for condition monitoring systems (2006)
Mathew, Avin D., Zhang, Liqun, Zhang, Sheng, Ma, Lin
Condition monitoring systems are prevalent in industries that contain critical assets. Their use allows the detection of potential failures at an early stage in order to minimise downtime and...
Implementation of Asset Health Assessment System with Pattern-Oriented Design and Practice (2006)
Zhang, Liqun, Mathew, Avin D., Zhang, Sheng, Ma, Lin
To integrate condition monitoring and reliability analysis with asset life-cycle management, a general-purpose asset health assessment system architecture is being developed. This system will assist...
Feature group optimization for machinery fault diagnosis based on fuzzy measures (2006)
Liu, Xiaofeng, Ma, Lin, Zhang, Sheng, Mathew, Joseph
With the development of modern multi-sensor based data acquisition technology often used with advanced signal processing techniques, more and more features are being extracted for the purposes of...
A water utility industry conceptual asset management data warehouse model (2006)
Mathew, Avin D., Zhang, Sheng, Ma, Lin, Hargreaves, Douglas J.
Timely decision making is critical in today’s competitive business world and in recent times, data warehousing has been employed by numerous companies to satisfy the needs of accurate and timely...
Reducing maintenance cost through effective prediction analysis and process integration (2006)
Mathew, Avin D., Zhang, Sheng, Ma, Lin, Earle, Tom, Hargreaves, Douglas J.
Asset management is playing an ever increasing role in sustaining the competitive capability of many businesses. Maintenance costs form a large proportion of asset management costs, and a reduction...
Zhang, Sheng, Mathew, Joseph, Ma, Lin, Sun, Yong
This paper presents an approach to automatically extract optimal features using Bayesian neural networks. Hyperparameters are used in Bayesian neural networks to reflect the significance of inputs to...
Machinery condition prognosis using multivariate analysis (2006)
Zhang, Sheng, Hodkiewicz, Melinda, Ma, Lin, Mathew, Joseph
Condition prognosis is an essential element for predicting the health of physical assets. Prognosis enables a projection of asset condition progression from the past and current into the future, thus...
A review of the MIMOSA OSA-EAI database for condition monitoring systems (2006)
Mathew, Avin D., Zhang, Liqun, Zhang, Sheng, Ma, Lin
Condition monitoring systems are prevalent in industries that contain critical assets. Their use allows the detection of potential failures at an early stage in order to minimise downtime and...
Implementation of Asset Health Assessment System with Pattern-Oriented Design and Practice (2006)
Zhang, Liqun, Mathew, Avin D., Zhang, Sheng, Ma, Lin
To integrate condition monitoring and reliability analysis with asset life-cycle management, a general-purpose asset health assessment system architecture is being developed. This system will assist...
Feature group optimization for machinery fault diagnosis based on fuzzy measures (2006)
Liu, Xiaofeng, Ma, Lin, Zhang, Sheng, Mathew, Joseph
With the development of modern multi-sensor based data acquisition technology often used with advanced signal processing techniques, more and more features are being extracted for the purposes of...
A domain embedding method for mixed boundary value problems (2006)
Sheng Zhang, Presented Roland Glowinski
We propose a domain embedding (fictitious domain) method for elliptic equations subject to mixed boundary conditions, and prove the sharp convergence rate. The theory provides a unified treatment for...
A water utility industry conceptual asset management data warehouse model (2006)
Avin Mathew, Sheng Zhang, Lin Ma, Doug Hargreaves
Timely decision making is critical in today’s competitive business world and in recent times, data warehousing has been employed by numerous companies to satisfy the needs of accurate and timely...
Mechanical Systems Hazard Estimation Using Condition Monitoring (2006)
Ma, Lin, Mathew, Joseph, Sun, Yong, Wang, Wenyi, Zhang, Sheng
Mechanical Systems Hazard Estimation Using Condition Monitoring (2006)
Ma, Lin, Mathew, Joseph, Sun, Yong, Wang, Wenyi, Zhang, Sheng
A water utility industry conceptual asset management data warehouse model (2006)
Mathew, Avin D., Zhang, Sheng, Ma, Lin, Hargreaves, Douglas J.
Timely decision making is critical in today’s competitive business world and in recent times, data warehousing has been employed by numerous companies to satisfy the needs of accurate and timely...
Reducing maintenance cost through effective prediction analysis and process integration (2006)
Mathew, Avin D., Zhang, Sheng, Ma, Lin, Earle, Tom, Hargreaves, Douglas J.
Asset management is playing an ever increasing role in sustaining the competitive capability of many businesses. Maintenance costs form a large proportion of asset management costs, and a reduction...
Zhang, Sheng, Mathew, Joseph, Ma, Lin, Sun, Yong
This paper presents an approach to automatically extract optimal features using Bayesian neural networks. Hyperparameters are used in Bayesian neural networks to reflect the significance of inputs to...
Machinery condition prognosis using multivariate analysis (2006)
Zhang, Sheng, Hodkiewicz, Melinda, Ma, Lin, Mathew, Joseph
Condition prognosis is an essential element for predicting the health of physical assets. Prognosis enables a projection of asset condition progression from the past and current into the future, thus...
A review of the MIMOSA OSA-EAI database for condition monitoring systems (2006)
Mathew, Avin D., Zhang, Liqun, Zhang, Sheng, Ma, Lin
Condition monitoring systems are prevalent in industries that contain critical assets. Their use allows the detection of potential failures at an early stage in order to minimise downtime and...
Implementation of Asset Health Assessment System with Pattern-Oriented Design and Practice (2006)
Zhang, Liqun, Mathew, Avin D., Zhang, Sheng, Ma, Lin
To integrate condition monitoring and reliability analysis with asset life-cycle management, a general-purpose asset health assessment system architecture is being developed. This system will assist...
Feature group optimization for machinery fault diagnosis based on fuzzy measures (2006)
Liu, Xiaofeng, Ma, Lin, Zhang, Sheng, Mathew, Joseph
With the development of modern multi-sensor based data acquisition technology often used with advanced signal processing techniques, more and more features are being extracted for the purposes of...
Mechanical Systems Hazard Estimation Using Condition Monitoring (2006)
Ma, Lin, Mathew, Joseph, Sun, Yong, Wang, Wenyi, Zhang, Sheng
A water utility industry conceptual asset management data warehouse model (2006)
Mathew, Avin D., Zhang, Sheng, Ma, Lin, Hargreaves, Douglas J.
Timely decision making is critical in today’s competitive business world and in recent times, data warehousing has been employed by numerous companies to satisfy the needs of accurate and timely...
Reducing maintenance cost through effective prediction analysis and process integration (2006)
Mathew, Avin D., Zhang, Sheng, Ma, Lin, Earle, Tom, Hargreaves, Douglas J.
Asset management is playing an ever increasing role in sustaining the competitive capability of many businesses. Maintenance costs form a large proportion of asset management costs, and a reduction...
Zhang, Sheng, Mathew, Joseph, Ma, Lin, Sun, Yong
This paper presents an approach to automatically extract optimal features using Bayesian neural networks. Hyperparameters are used in Bayesian neural networks to reflect the significance of inputs to...
Machinery condition prognosis using multivariate analysis (2006)
Zhang, Sheng, Hodkiewicz, Melinda, Ma, Lin, Mathew, Joseph
Condition prognosis is an essential element for predicting the health of physical assets. Prognosis enables a projection of asset condition progression from the past and current into the future, thus...
A review of the MIMOSA OSA-EAI database for condition monitoring systems (2006)
Mathew, Avin D., Zhang, Liqun, Zhang, Sheng, Ma, Lin
Condition monitoring systems are prevalent in industries that contain critical assets. Their use allows the detection of potential failures at an early stage in order to minimise downtime and...
Implementation of Asset Health Assessment System with Pattern-Oriented Design and Practice (2006)
Zhang, Liqun, Mathew, Avin D., Zhang, Sheng, Ma, Lin
To integrate condition monitoring and reliability analysis with asset life-cycle management, a general-purpose asset health assessment system architecture is being developed. This system will assist...
Feature group optimization for machinery fault diagnosis based on fuzzy measures (2006)
Liu, Xiaofeng, Ma, Lin, Zhang, Sheng, Mathew, Joseph
With the development of modern multi-sensor based data acquisition technology often used with advanced signal processing techniques, more and more features are being extracted for the purposes of...
Mechanical Systems Hazard Estimation Using Condition Monitoring (2006)
Ma, Lin, Mathew, Joseph, Sun, Yong, Wang, Wenyi, Zhang, Sheng
Best Basis Based Intelligent Machine Fault Diagnosis (2005)
Zhang, Sheng, Mathew, Joseph, Ma, Lin, Sun, Yong
The wavelet packet transform decomposes a signal into a set of bases for time-frequency analysis. This decomposition creates an opportunity for implementing distributed data mining where features are...
Best Basis Based Intelligent Machine Fault Diagnosis (2005)
Zhang, Sheng, Mathew, Joseph, Ma, Lin, Sun, Yong
The wavelet packet transform decomposes a signal into a set of bases for time-frequency analysis. This decomposition creates an opportunity for implementing distributed data mining where features are...
Best Basis Based Intelligent Machine Fault Diagnosis (2005)
Zhang, Sheng, Mathew, Joseph, Ma, Lin, Sun, Yong
The wavelet packet transform decomposes a signal into a set of bases for time-frequency analysis. This decomposition creates an opportunity for implementing distributed data mining where features are...
Visualizing Negotiation Communications in Setting Library Sharing Policies (2005)
Ford, James, Zhao, Yan, Ye, Song, Zhang, Sheng, Makedon, Fillia, Le, Zhengyi, ...
Today’s libraries have evolved to contain a very broad and diverse range of resources, each needing different types of conditions for sharing, depending on their modality (from books to videos and...
Zhang, Sheng, Ma, Lin, Mathew, Joseph
Condition monitoring in some form, is becoming an almost routine activity in many industries and is a key technology for machinery maintenance. Of the various techniques used, vibration monitoring is...
Zhang, Sheng, Ma, Lin, Mathew, Joseph
Condition monitoring in some form, is becoming an almost routine activity in many industries and is a key technology for machinery maintenance. Of the various techniques used, vibration monitoring is...
Machinery fault diagnosis schemas based on fuzzy integral theory (2005)
Liu, Xiaofeng, Ma, Lin, Zhang, Sheng, Mathew, Joseph
Fuzzy measure and fuzzy integral theory is an outgrowth of classical measure theory and has found applications in image processing and information fusion. This paper presents the review of a study on...
Using fuzzy c-means and fuzzy integrals for machinery fault diagnosis (2005)
Liu, Xiaofeng, Ma, Lin, Zhang, Sheng, Mathew, Joseph
This research applied fuzzy c-means and fuzzy integral theories to a proposed novel two-step machinery fault diagnosis model. Distributed multiple fuzzy c-means classifiers were used to produce an...
Zhang, Sheng, Ma, Lin, Mathew, Joseph
Condition monitoring in some form, is becoming an almost routine activity in many industries and is a key technology for machinery maintenance. Of the various techniques used, vibration monitoring is...
Best Basis Based Intelligent Machine Fault Diagnosis (2005)
Zhang, Sheng, Mathew, Joseph, Ma, Lin, Sun, Yong
The wavelet packet transform decomposes a signal into a set of bases for time-frequency analysis. This decomposition creates an opportunity for implementing distributed data mining where features are...
Machinery fault diagnosis schemas based on fuzzy integral theory (2005)
Liu, Xiaofeng, Ma, Lin, Zhang, Sheng, Mathew, Joseph
Fuzzy measure and fuzzy integral theory is an outgrowth of classical measure theory and has found applications in image processing and information fusion. This paper presents the review of a study on...
Using fuzzy c-means and fuzzy integrals for machinery fault diagnosis (2005)
Liu, Xiaofeng, Ma, Lin, Zhang, Sheng, Mathew, Joseph
This research applied fuzzy c-means and fuzzy integral theories to a proposed novel two-step machinery fault diagnosis model. Distributed multiple fuzzy c-means classifiers were used to produce an...
Machinery fault diagnosis schemas based on fuzzy integral theory (2005)
Liu, Xiaofeng, Ma, Lin, Zhang, Sheng, Mathew, Joseph
Fuzzy measure and fuzzy integral theory is an outgrowth of classical measure theory and has found applications in image processing and information fusion. This paper presents the review of a study on...
Using fuzzy c-means and fuzzy integrals for machinery fault diagnosis (2005)
Liu, Xiaofeng, Ma, Lin, Zhang, Sheng, Mathew, Joseph
This research applied fuzzy c-means and fuzzy integral theories to a proposed novel two-step machinery fault diagnosis model. Distributed multiple fuzzy c-means classifiers were used to produce an...
Zhang, Sheng, Ma, Lin, Mathew, Joseph
Condition monitoring in some form, is becoming an almost routine activity in many industries and is a key technology for machinery maintenance. Of the various techniques used, vibration monitoring is...
Machinery fault diagnosis schemas based on fuzzy integral theory (2005)
Liu, Xiaofeng, Ma, Lin, Zhang, Sheng, Mathew, Joseph
Fuzzy measure and fuzzy integral theory is an outgrowth of classical measure theory and has found applications in image processing and information fusion. This paper presents the review of a study on...
Using fuzzy c-means and fuzzy integrals for machinery fault diagnosis (2005)
Liu, Xiaofeng, Ma, Lin, Zhang, Sheng, Mathew, Joseph
This research applied fuzzy c-means and fuzzy integral theories to a proposed novel two-step machinery fault diagnosis model. Distributed multiple fuzzy c-means classifiers were used to produce an...
Zhang, Sheng, Ma, Lin, Mathew, Joseph
Condition monitoring in some form, is becoming an almost routine activity in many industries and is a key technology for machinery maintenance. Of the various techniques used, vibration monitoring is...
Best Basis Based Intelligent Machine Fault Diagnosis (2005)
Zhang, Sheng, Mathew, Joseph, Ma, Lin, Sun, Yong
The wavelet packet transform decomposes a signal into a set of bases for time-frequency analysis. This decomposition creates an opportunity for implementing distributed data mining where features are...
Zhang, Sheng, Ma, Lin, Mathew, Joseph
Condition monitoring in some form, is becoming an almost routine activity in many industries and is a key technology for machinery maintenance. Of the various techniques used, vibration monitoring is...
Best Basis Based Intelligent Machine Fault Diagnosis (2005)
Zhang, Sheng, Mathew, Joseph, Ma, Lin, Sun, Yong
The wavelet packet transform decomposes a signal into a set of bases for time-frequency analysis. This decomposition creates an opportunity for implementing distributed data mining where features are...
Machinery fault diagnosis schemas based on fuzzy integral theory (2005)
Liu, Xiaofeng, Ma, Lin, Zhang, Sheng, Mathew, Joseph
Fuzzy measure and fuzzy integral theory is an outgrowth of classical measure theory and has found applications in image processing and information fusion. This paper presents the review of a study on...
Using fuzzy c-means and fuzzy integrals for machinery fault diagnosis (2005)
Liu, Xiaofeng, Ma, Lin, Zhang, Sheng, Mathew, Joseph
This research applied fuzzy c-means and fuzzy integral theories to a proposed novel two-step machinery fault diagnosis model. Distributed multiple fuzzy c-means classifiers were used to produce an...
Zhang, Sheng, Ma, Lin, Mathew, Joseph
Condition monitoring in some form, is becoming an almost routine activity in many industries and is a key technology for machinery maintenance. Of the various techniques used, vibration monitoring is...
Best Basis Based Intelligent Machine Fault Diagnosis (2005)
Zhang, Sheng, Mathew, Joseph, Ma, Lin, Sun, Yong
The wavelet packet transform decomposes a signal into a set of bases for time-frequency analysis. This decomposition creates an opportunity for implementing distributed data mining where features are...
Machinery fault diagnosis schemas based on fuzzy integral theory (2005)
Liu, Xiaofeng, Ma, Lin, Zhang, Sheng, Mathew, Joseph
Fuzzy measure and fuzzy integral theory is an outgrowth of classical measure theory and has found applications in image processing and information fusion. This paper presents the review of a study on...
Using fuzzy c-means and fuzzy integrals for machinery fault diagnosis (2005)
Liu, Xiaofeng, Ma, Lin, Zhang, Sheng, Mathew, Joseph
This research applied fuzzy c-means and fuzzy integral theories to a proposed novel two-step machinery fault diagnosis model. Distributed multiple fuzzy c-means classifiers were used to produce an...
Using singular value decomposition approximation for collaborative filtering (2005)
Sheng Zhang, Weihong Wang, James Ford, Fillia Makedon, Justin Pearlman
Singular Value Decomposition (SVD), together with the Expectation-Maximization (EM) procedure, can be used to find a low-dimension model that maximizes the loglikelihood of observed ratings in...
Node clustering based on link delay in p2p networks (2005)
Wei Zheng, Sheng Zhang, Yi Ouyang, Fillia Makedon, James Ford
Peer-to-peer (P2P) has become an important computing model because of its adaptation, self-organization and autonomy etc. But efficient organization of the nodes in P2P networks is still a challenge...
Using singular value decomposition approximation for collaborative filtering (2005)
Sheng Zhang, Weihong Wang, James Ford, Fillia Makedon, Justin Pearlman
Singular Value Decomposition (SVD), together with the Expectation-Maximization (EM) procedure, can be used to find a low-dimension model that maximizes the loglikelihood of observed ratings in...
Zhang, Sheng, Ma, Lin, Mathew, Joseph
Condition monitoring in some form, is becoming an almost routine activity in many industries and is a key technology for machinery maintenance. Of the various techniques used, vibration monitoring is...
Best Basis Based Intelligent Machine Fault Diagnosis (2005)
Zhang, Sheng, Mathew, Joseph, Ma, Lin, Sun, Yong
The wavelet packet transform decomposes a signal into a set of bases for time-frequency analysis. This decomposition creates an opportunity for implementing distributed data mining where features are...
Machinery fault diagnosis schemas based on fuzzy integral theory (2005)
Liu, Xiaofeng, Ma, Lin, Zhang, Sheng, Mathew, Joseph
Fuzzy measure and fuzzy integral theory is an outgrowth of classical measure theory and has found applications in image processing and information fusion. This paper presents the review of a study on...
Using fuzzy c-means and fuzzy integrals for machinery fault diagnosis (2005)
Liu, Xiaofeng, Ma, Lin, Zhang, Sheng, Mathew, Joseph
This research applied fuzzy c-means and fuzzy integral theories to a proposed novel two-step machinery fault diagnosis model. Distributed multiple fuzzy c-means classifiers were used to produce an...
X-warehouse: building query pattern-driven data warehouse for XML data (2005)
Zhang, Ji, Wang, Wei, Liu, Han, Zhang, Sheng
[Abstract]: In this paper, we propose an approach to materialize XML data warehouses based on the frequent query patterns discovered from historical queries issued by users. The schemas of integrated...
XAR-Miner: efficient association rules mining for XML data (2005)
Zhang, Sheng, Zhang, Ji, Liu, Han, Wei, Wang
[Abstract]: In this paper, we propose a framework, called XAR-Miner, for mining ARs from XML documents efficiently. In XAR-Miner, raw data in the XML document are first preprocessed to transform to...
X-warehouse: building query pattern-driven data warehouse for XML data (2005)
Zhang, Ji, Wang, Wei, Liu, Han, Zhang, Sheng
[Abstract]: In this paper, we propose an approach to materialize XML data warehouses based on the frequent query patterns discovered from historical queries issued by users. The schemas of integrated...
XAR-Miner: efficient association rules mining for XML data (2005)
Zhang, Sheng, Zhang, Ji, Liu, Han, Wei, Wang
[Abstract]: In this paper, we propose a framework, called XAR-Miner, for mining ARs from XML documents efficiently. In XAR-Miner, raw data in the XML document are first preprocessed to transform to...
X-warehouse: building query pattern-driven data warehouse for XML data (2005)
Zhang, Ji, Wang, Wei, Liu, Han, Zhang, Sheng
[Abstract]: In this paper, we propose an approach to materialize XML data warehouses based on the frequent query patterns discovered from historical queries issued by users. The schemas of integrated...
XAR-Miner: efficient association rules mining for XML data (2005)
Zhang, Sheng, Zhang, Ji, Liu, Han, Wei, Wang
[Abstract]: In this paper, we propose a framework, called XAR-Miner, for mining ARs from XML documents efficiently. In XAR-Miner, raw data in the XML document are first preprocessed to transform to...
Zhang, Ji, Wang, Wei, Zhang, Sheng
[Abstract]: In this paper, we present a clustering-based color indexing scheme for effective amd efficient image retrieval, which is essentially an exploration on the application of clustering...
Zhang, Ji, Wang, Wei, Zhang, Sheng
[Abstract]: In this paper, we present a clustering-based color indexing scheme for effective amd efficient image retrieval, which is essentially an exploration on the application of clustering...
Zhang, Sheng, Ma, Lin, Mathew, Joseph
Condition monitoring in some form, is becoming an almost routine activity in many industries and is a key technology for machinery maintenance. Of the various techniques used, vibration monitoring is...
Best Basis Based Intelligent Machine Fault Diagnosis (2005)
Zhang, Sheng, Mathew, Joseph, Ma, Lin, Sun, Yong
The wavelet packet transform decomposes a signal into a set of bases for time-frequency analysis. This decomposition creates an opportunity for implementing distributed data mining where features are...
Machinery fault diagnosis schemas based on fuzzy integral theory (2005)
Liu, Xiaofeng, Ma, Lin, Zhang, Sheng, Mathew, Joseph
Fuzzy measure and fuzzy integral theory is an outgrowth of classical measure theory and has found applications in image processing and information fusion. This paper presents the review of a study on...
Using fuzzy c-means and fuzzy integrals for machinery fault diagnosis (2005)
Liu, Xiaofeng, Ma, Lin, Zhang, Sheng, Mathew, Joseph
This research applied fuzzy c-means and fuzzy integral theories to a proposed novel two-step machinery fault diagnosis model. Distributed multiple fuzzy c-means classifiers were used to produce an...
A novel approach for integrated fault diagnosis based on wavelet packet transform (2004)
Zhang, Sheng, Mathew, Joseph, Ma, Lin, Sun, Yong
Integrated machine fault diagnosis is usually conducted by considering different types of signals so as to improve the accuracy of diagnosis. This paper presents a novel approach for integrated...
A novel approach for integrated fault diagnosis based on wavelet packet transform (2004)
Zhang, Sheng, Mathew, Joseph, Ma, Lin, Sun, Yong
Integrated machine fault diagnosis is usually conducted by considering different types of signals so as to improve the accuracy of diagnosis. This paper presents a novel approach for integrated...
A novel approach for integrated fault diagnosis based on wavelet packet transform (2004)
Zhang, Sheng, Mathew, Joseph, Ma, Lin, Sun, Yong
Integrated machine fault diagnosis is usually conducted by considering different types of signals so as to improve the accuracy of diagnosis. This paper presents a novel approach for integrated...
Zhang, Sheng, Mathew, Joseph, Ma, Lin, Sun, Yong
This paper presents an approach to automatically extract optimal feature combinations using Bayesian neural networks. Hyperparameters are used in Bayesian neural networks to reflect the significance...
Zhang, Sheng, Mathew, Joseph, Ma, Lin, Sun, Yong
This paper presents an approach to automatically extract optimal feature combinations using Bayesian neural networks. Hyperparameters are used in Bayesian neural networks to reflect the significance...
Statistical condition monitoring based on vibration signals (2004)
Zhang, Sheng, Mathew, Joseph, Ma, Lin, Sun, Yong, Mathew, Avin D.
Designing control limits for condition monitoring is an important aspect of setting maintenance schedules and has been virtually ignored by researchers to date. This paper proposes a novel...
A novel approach for integrated fault diagnosis based on wavelet packet transform (2004)
Zhang, Sheng, Mathew, Joseph, Ma, Lin, Sun, Yong
Integrated machine fault diagnosis is usually conducted by considering different types of signals so as to improve the accuracy of diagnosis. This paper presents a novel approach for integrated...
Zhang, Sheng, Mathew, Joseph, Ma, Lin, Sun, Yong
This paper presents an approach to automatically extract optimal feature combinations using Bayesian neural networks. Hyperparameters are used in Bayesian neural networks to reflect the significance...
Statistical condition monitoring based on vibration signals (2004)
Zhang, Sheng, Mathew, Joseph, Ma, Lin, Sun, Yong, Mathew, Avin D.
Designing control limits for condition monitoring is an important aspect of setting maintenance schedules and has been virtually ignored by researchers to date. This paper proposes a novel...
Statistical condition monitoring based on vibration signals (2004)
Zhang, Sheng, Mathew, Joseph, Ma, Lin, Sun, Yong, Mathew, Avin D.
Designing control limits for condition monitoring is an important aspect of setting maintenance schedules and has been virtually ignored by researchers to date. This paper proposes a novel...
Zhang, Sheng, Mathew, Joseph, Ma, Lin, Sun, Yong
This paper presents an approach to automatically extract optimal feature combinations using Bayesian neural networks. Hyperparameters are used in Bayesian neural networks to reflect the significance...
Statistical condition monitoring based on vibration signals (2004)
Zhang, Sheng, Mathew, Joseph, Ma, Lin, Sun, Yong, Mathew, Avin D.
Designing control limits for condition monitoring is an important aspect of setting maintenance schedules and has been virtually ignored by researchers to date. This paper proposes a novel...
A novel approach for integrated fault diagnosis based on wavelet packet transform (2004)
Zhang, Sheng, Mathew, Joseph, Ma, Lin, Sun, Yong
Integrated machine fault diagnosis is usually conducted by considering different types of signals so as to improve the accuracy of diagnosis. This paper presents a novel approach for integrated...
Zhang, Sheng, Mathew, Joseph, Ma, Lin, Sun, Yong
This paper presents an approach to automatically extract optimal feature combinations using Bayesian neural networks. Hyperparameters are used in Bayesian neural networks to reflect the significance...
A novel approach for integrated fault diagnosis based on wavelet packet transform (2004)
Zhang, Sheng, Mathew, Joseph, Ma, Lin, Sun, Yong
Integrated machine fault diagnosis is usually conducted by considering different types of signals so as to improve the accuracy of diagnosis. This paper presents a novel approach for integrated...
Zhang, Sheng, Mathew, Joseph, Ma, Lin, Sun, Yong
This paper presents an approach to automatically extract optimal feature combinations using Bayesian neural networks. Hyperparameters are used in Bayesian neural networks to reflect the significance...
Statistical condition monitoring based on vibration signals (2004)
Zhang, Sheng, Mathew, Joseph, Ma, Lin, Sun, Yong, Mathew, Avin D.
Designing control limits for condition monitoring is an important aspect of setting maintenance schedules and has been virtually ignored by researchers to date. This paper proposes a novel...
A novel approach for integrated fault diagnosis based on wavelet packet transform (2004)
Zhang, Sheng, Mathew, Joseph, Ma, Lin, Sun, Yong
Integrated machine fault diagnosis is usually conducted by considering different types of signals so as to improve the accuracy of diagnosis. This paper presents a novel approach for integrated...
Zhang, Sheng, Mathew, Joseph, Ma, Lin, Sun, Yong
This paper presents an approach to automatically extract optimal feature combinations using Bayesian neural networks. Hyperparameters are used in Bayesian neural networks to reflect the significance...
Statistical condition monitoring based on vibration signals (2004)
Zhang, Sheng, Mathew, Joseph, Ma, Lin, Sun, Yong, Mathew, Avin D.
Designing control limits for condition monitoring is an important aspect of setting maintenance schedules and has been virtually ignored by researchers to date. This paper proposes a novel...
Face recognition is a difficult problem, whether using still images or video. A robust solution is still elusive after 30 years of research. The main reason postulated for this is that two people...
A model for multiparty negotiation with majority rules (2004)
Sheng Zhang, Fillia Makedon, James Ford, Lin Ai
Abstract. Our model of multi-party negotiations is a many parties, many issues model. The whole multi-party negotiation consists of a set of mutually influencing bilateral negotiations that are...
Estimation of Hazards of Mechanical Systems Using On-line Vibration Data (2004)
Ma, Lin, Mathew, Joseph, Sun, Yong, Wenyi, Wang, Zhang, Sheng
Estimation of Hazards of Mechanical Systems Using On-line Vibration Data (2004)
Ma, Lin, Mathew, Joseph, Sun, Yong, Wenyi, Wang, Zhang, Sheng
A novel approach for integrated fault diagnosis based on wavelet packet transform (2004)
Zhang, Sheng, Mathew, Joseph, Ma, Lin, Sun, Yong
Integrated machine fault diagnosis is usually conducted by considering different types of signals so as to improve the accuracy of diagnosis. This paper presents a novel approach for integrated...
Zhang, Sheng, Mathew, Joseph, Ma, Lin, Sun, Yong
This paper presents an approach to automatically extract optimal feature combinations using Bayesian neural networks. Hyperparameters are used in Bayesian neural networks to reflect the significance...
Statistical condition monitoring based on vibration signals (2004)
Zhang, Sheng, Mathew, Joseph, Ma, Lin, Sun, Yong, Mathew, Avin D.
Designing control limits for condition monitoring is an important aspect of setting maintenance schedules and has been virtually ignored by researchers to date. This paper proposes a novel...
Estimation of Hazards of Mechanical Systems Using On-line Vibration Data (2004)
Ma, Lin, Mathew, Joseph, Sun, Yong, Wenyi, Wang, Zhang, Sheng
A novel approach for integrated fault diagnosis based on wavelet packet transform (2004)
Zhang, Sheng, Mathew, Joseph, Ma, Lin, Sun, Yong
Integrated machine fault diagnosis is usually conducted by considering different types of signals so as to improve the accuracy of diagnosis. This paper presents a novel approach for integrated...
Zhang, Sheng, Mathew, Joseph, Ma, Lin, Sun, Yong
This paper presents an approach to automatically extract optimal feature combinations using Bayesian neural networks. Hyperparameters are used in Bayesian neural networks to reflect the significance...
Statistical condition monitoring based on vibration signals (2004)
Zhang, Sheng, Mathew, Joseph, Ma, Lin, Sun, Yong, Mathew, Avin D.
Designing control limits for condition monitoring is an important aspect of setting maintenance schedules and has been virtually ignored by researchers to date. This paper proposes a novel...
Estimation of Hazards of Mechanical Systems Using On-line Vibration Data (2004)
Ma, Lin, Mathew, Joseph, Sun, Yong, Wenyi, Wang, Zhang, Sheng
Data Brokers: Building Collections Through Automated Negotiation (2003)
Fillia Makedon, Song Ye, Sheng Zhang, James Ford, Li Shen, Sarantos Kapidakis
Abstract. Collecting digital materials is time-consuming and can gain from automation. Since each source – and even each acquisition – may involve a separate negotiation of terms, a collector may...
Data Brokers: Building Collections Through Automated Negotiation (2003)
Fillia Makedon, Song Ye, Sheng Zhang, James Ford, Li Shen, Sarantos Kapidakis
Abstract. Collecting digital materials is time-consuming and can gain from automation. Since each source—and even each acquisition—may involve a separate negotiation of terms, a collector may...
On the range of applicability of the Reissner–Mindlin and Kirchhoff–Love plate bending models (2002)
Douglas N. Arnold, Alexandre L. Madureira, Sheng Zhang
Abstract. We show that the Reissner--Mindlin plate bending model has a wider range of applicability than the Kirchho#--Love model for the approximation of clamped linearly elastic plates. Under the...
On the range of applicability of the Reissner–Mindlin and Kirchhoff–Love plate bending models (2002)
Douglas N. Arnold, Alexandre L. Madureira, Sheng Zhang
Abstract. We show that the Reissner–Mindlin plate bending model has a wider range of applicability than the Kirchhoff–Love model for the approximation of clamped linearly elastic plates. Under...
Thesis (Ph. D.)--Yale University, 2001.
A linear shell theory based on variational principles (2001)
Sheng Zhang, C Sheng Zhang, Eduard S. Ventsel, Gary L. Mullen
Under the guidance of variational principles, we derive a two-dimensional shell model, which is a close variant of the classical Naghdi model. From the model solution, approximate stress and...
Dynamics and size structure of phytoplankton in the coastal waters of Singapore (2000)
Gin, Karina Yew-Hoong, Lin, Xiaohua, Zhang, Sheng
In this paper, a study on phytoplankton dynamics and size in the tropical coastal waters of Singapore is presented. Chlorophyll-a levels in the Singapore Strait generally range from 0.4 to 10 μg...
α-tocopherol binding proteins in the domestic fowl /--by Sheng Zhang. (1999)
Thesis (Ph. D.)--Clemson University, 1999.
High-Thermal-Expansion NaAlSiO4 Ceramics. (1998)
Ota, Toshitaka, Yamai, Iwao, Zhang, Sheng
Syntheses of high-thermal-expansion ceramics from NaAlSiO4 were investigated. NaAlSiO4 has two crystal polymorphic forms; nepheline and carnegieite. Mean axial thermal expansion coefficients of...
Preconditioning the Poincare-Steklov operator by using Green's function (1997)
Abstract. This paper is concerned with the Poincaré-Steklov operator that is widely used in domain decomposition methods. It is proved that the inverse of the Poincaré-Steklov operator can be...
Mammalian homologs of seven in absentia regulate DCC via the ubiquitin-proteasome pathway (1997)
Hu, Gang, Zhang, Sheng, Vidal, Marc, Baer, Joshua La, Xu, Tian, Fearon, Eric R.
Learning from incomplete ratings using non-negative matrix factorization (1996)
Sheng Zhang, Weihong Wang, James Ford, Fillia Makedon
We use a low-dimensional linear model to describe the user rating matrix in a recommendation system. A non-negativity constraint is enforced in the linear model to ensure that each user’s rating...
Learning from incomplete ratings using non-negative matrix factorization (1996)
Sheng Zhang, Weihong Wang, James Ford, Fillia Makedon
We use a low-dimensional linear model to describe the user rating matrix in a recommendation system. A non-negativity constraint is enforced in the linear model to ensure that each user’s rating...
Learning from incomplete ratings using non-negative matrix factorization (1996)
Sheng Zhang, Weihong Wang, James Ford, Fillia Makedon
We use a low-dimensional linear model to describe the user rating matrix in a recommendation system. A non-negativity constraint is enforced in the linear model to ensure that each user’s rating...
Dietary fatty acids and immune responses in the chicken / (1994)
Thesis (M.S.)--Clemson University, 1994.
Multilevel Additive Preconditioner For Elliptic Problems On Non-Nested Meshes (1994)
Tony Chan Sheng, Tony F. Chan, Sheng Zhang, Jun Zou
. We will analyze multilevel additive Schwarz preconditioner based on non-nested multilevel meshes. Under some assumptions on the relations between neighbouring mesh levels, we prove that the...
Irwin, Diana, Shin, Dong-Hoon, Zhang, Sheng, Barr, Brian K., Sakon, Joshua, Karplus, P. Andrew, ...
Thermomonospora fusca E4 is an unusual 90.4-kDa endocellulase comprised of a catalytic domain (CD), an internal family IIIc cellulose binding domain (CBD), a fibronectinlike domain, and a family II...
Mammalian homologs of seven in absentia regulate DCC via the ubiquitin–proteasome pathway
Hu, Gang, Zhang, Sheng, Vidal, Marc, Baer, Joshua La, Xu, Tian, Fearon, Eric R.
DCC (deleted in colorectal cancer) is postulated to function as transmembrane receptor for the axon and cell guidance factor netrin-1. We report here that the DCC cytoplasmic domain binds to proteins...
Yang, Yu, Xiong, Zeyu, Zhang, Sheng, Yan, Yan, Nguyen, Justin, Ng, Bernard, ...
One of the hallmark findings in patients suffering from SARS (severe acute respiratory syndrome) is lymphopenia, which is the result of massive lymphocyte death. SARS-CoV (SARS coronavirus), a novel...
Regulated Phosphorylation of Budding Yeast's Essential Myosin V Heavy Chain, Myo2pD⃞
Legesse-Miller, Aster, Zhang, Sheng, Santiago-Tirado, Felipe H., Van Pelt, Colleen K., Bretscher, Anthony
The tail of the yeast myosin V encoded by Myo2p is known to bind several receptors for cargo delivery along polarized actin cables. However, it is not known how Myo2p activity is regulated or how it...
Irwin, Diana, Shin, Dong-Hoon, Zhang, Sheng, Barr, Brian K., Sakon, Joshua, Karplus, P. Andrew, ...
Thermomonospora fusca E4 is an unusual 90.4-kDa endocellulase comprised of a catalytic domain (CD), an internal family IIIc cellulose binding domain (CBD), a fibronectinlike domain, and a family II...
Mammalian homologs of seven in absentia regulate DCC via the ubiquitin–proteasome pathway
Hu, Gang, Zhang, Sheng, Vidal, Marc, Baer, Joshua La, Xu, Tian, Fearon, Eric R.
DCC (deleted in colorectal cancer) is postulated to function as transmembrane receptor for the axon and cell guidance factor netrin-1. We report here that the DCC cytoplasmic domain binds to proteins...
Yang, Yu, Xiong, Zeyu, Zhang, Sheng, Yan, Yan, Nguyen, Justin, Ng, Bernard, ...
One of the hallmark findings in patients suffering from SARS (severe acute respiratory syndrome) is lymphopenia, which is the result of massive lymphocyte death. SARS-CoV (SARS coronavirus), a novel...
Regulated Phosphorylation of Budding Yeast's Essential Myosin V Heavy Chain, Myo2pD⃞
Legesse-Miller, Aster, Zhang, Sheng, Santiago-Tirado, Felipe H., Van Pelt, Colleen K., Bretscher, Anthony
The tail of the yeast myosin V encoded by Myo2p is known to bind several receptors for cargo delivery along polarized actin cables. However, it is not known how Myo2p activity is regulated or how it...
Genetic analysis of fruit shape traits at different maturation stages in sponge gourd*
Zhang, Sheng, Hu, Jin, Zhang, Cai-fang, Guan, Ya-jing, Zhang, Ying
The fruit shape is important quantitative trait closely related to the fruit quality. However, the genetic model of fruit shapes has not been proposed. Therefore, in the present study, analysis of...
Adjusted-loss-function charts with variable sample sizes and sampling intervals
Zhang Wu, Yu Tian, Sheng Zhang
Recent research has shown that the control charts with adaptive features are quicker than the traditional static Shewhart charts in detecting process shifts. This article presents the design and...
Li, Min, Zhang, Yuqing, Liu, Zijuan, Bharadwaj, Uddalak, Wang, Hao, Wang, Xinwen, ...
Zinc is an essential trace element and catalytic/structural component used by many metalloenzymes and transcription factors. Recent studies indicate a possible correlation of zinc levels with the...
Yang, Yong, Zhang, Sheng, Howe, Kevin, Wilson, David B., Moser, Felix, Irwin, Diana, ...
The use of nLC-ESI-MS/MS in shotgun proteomics experiments and GeLC-MS/MS analysis is well accepted and routinely available in most proteomics laboratories. However, the same cannot be said for...
Mass spectrometry (MS) has the potential to revolutionize structural glycobiology and help in the understanding of how post-translation events such as glycosylation affect protein activities. Several...
Zhang, Sheng, Williamson, Brian L.
Glycosylation is one of the most important posttranslational modifications affecting the functions of proteins and cell activities. Mass spectrometry (MS) has proven to be an effective tool for...
Cortesio, Christa L., Chan, Keefe T., Perrin, Benjamin J., Burton, Nicholas O., Zhang, Sheng, Zhang, Zhong-Yin, ...
Invasive cancer cells form dynamic adhesive structures associated with matrix degradation called invadopodia. Calpain 2 is a calcium-dependent intracellular protease that regulates adhesion turnover...
Ramanadham, Sasanka, Yarasheski, Kevin E., Silva, Matthew J., Wohltmann, Mary, Novack, Deborah Veis, Christiansen, Blaine, ...
Phospholipases A2 (PLA2) hydrolyze the sn−2 fatty acid substituent, such as arachidonic acid, from phospholipids, and arachidonate metabolites are recognized mediators of bone modeling. We have...
Boivin, Benoit, Zhang, Sheng, Arbiser, Jack L., Zhang, Zhong-Yin, Tonks, Nicholas K.
The production of reactive oxygen species (ROS) exerts an additional tier of control over tyrosine phosphorylation-dependent signal transduction by transiently inhibiting the catalytic activity of...
Dominy, John E., Hwang, Jesse, Guo, Stephanie, Hirschberger, Lawrence L., Zhang, Sheng, Stipanuk, Martha H.
Cysteine dioxygenase (CDO) catalyzes the conversion of cysteine to cysteinesulfinic acid and is important in the regulation of intracellular cysteine levels in mammals and in the provision of...
Zhang, Sheng, Feany, Mel B., Saraswati, Sudipta, Littleton, J. Troy, Perrimon, Norbert
A polyglutamine expansion in the huntingtin (HTT) gene causes neurodegeneration in Huntington’s disease (HD), but the in vivo function of the native protein (Htt) is largely unknown. Numerous...
Gender Differences in Cognitive Control: an Extended Investigation of the Stop Signal Task
Li, Chiang-shan Ray, Zhang, Sheng, Duann, Jeng-Ren, Yan, Peisi, Sinha, Rajita, Mazure, Carolyn M.
Men and women show important differences in clinical conditions in which deficits in cognitive control are implicated. We used functional magnetic resonance imaging to examine gender differences in...
Expression transformation of claudin-1 in the process of gastric adenocarcinoma invasion
Wu, Yong-Lian, Zhang, Sheng, Wang, Guo-Rong, Chen, Yu-Peng
AIM: To investigate the relation of expression transformation of claudin-1 with invasiveness and metastasis of gastric carcinoma.
Chen, Changyi, Chai, Hong, Wang, Xinwen, Jiang, Jun, Jamaluddin, Md Saha, Liao, Dan, ...
The purpose of this study was to determine the effects and mechanisms of sCD40L on endothelial dysfunction in both human coronary artery endothelial cells (HCAECs) and porcine coronary artery rings....