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    Chapter

    Multinuclear Magnetic Resonance and Mutagenesis Studies of Structure-Function Relationships in [2Fe-2S] Ferredoxins

    Iron-sulfur proteins are present in virtually all living organisms. Their function is to transfer electrons to various partners. They have iron and sulfur in their chromophore and rather low molecular weights ...

    Young Kee Chae, Bin **a, Hong Cheng in Nuclear Magnetic Resonance of Paramagnetic… (1995)

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    Chapter

    Iron-Sulfur Proteins: Investigations of Hyperfine-Shifted Hydrogen, Carbon, and Nitrogen Resonances

    Iron-sulfur proteins are present in almost all living organisms. They are characterized by one or more iron ions ligated to inorganic sulfur and/or cysteine sulfur. Rubredoxin-type clusters contain a single ir...

    Bin **a, Hong Cheng, Young Kee Chae in NMR as a Structural Tool for Macromolecules (1996)

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    Chapter

    NMR Approaches to the Study of Structure-Function Relationships in Iron-Sulfur Proteins

    Newer NMR methods, particularly in conjunction with stable isotope labeling (with 2H, 13C, and 15N), offer powerful approaches to the elucidation of structure-function relationships in paramagnetic proteins such ...

    John L. Markley, Bin **a, Young Kee Chae in Protein Structure — Function Relationship (1996)

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    Chapter and Conference Paper

    Dielectric Properties and Applications of Strontium Titanate Thin Films for Tunable Electronics

    The dielectric constant (ε) of ferroelectric materials, such as (Ba,Sr)TiO3 (BST) and SrTiO3 (STO), depends strongly on the applied electric field [1, 2]. This phenomenon has been referred to as the dielectric no...

    X. X. **, Hong-Cheng Li, Weidong Si in Nano-Crystalline and Thin Film Magnetic Ox… (1999)

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    Chapter and Conference Paper

    Case Mining from Large Databases

    This paper presents an approach of case mining to automatically discover case bases from large datasets in order to improve both the speed and the quality of case based reasoning. Case mining constructs a case...

    Qiang Yang, Hong Cheng in Case-Based Reasoning Research and Development (2003)

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    Chapter and Conference Paper

    Principal Component Analysis Neural Network Based Probabilistic Tracking of Unpaved Road

    Based on principal component analysis neural network, within a probabilistic framework, we introduce a new Monte Carlo tracking technique for autonomous navigation of land vehicle on unpaved road. The use of s...

    Qing Li, Nannig Zheng, Lin Ma, Hong Cheng in Advances in Neural Networks – ISNN 2004 (2004)

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    Chapter and Conference Paper

    Neural Network Based Online Feature Selection for Vehicle Tracking

    Aiming at vehicle tracking with a single moving camera for autonomous driving, this paper presents a strategy of online feature selection combined with related process framework. Detected vehicle can provide m...

    Tie Liu, Nanning Zheng, Hong Cheng in Advances in Neural Networks – ISNN 2005 (2005)

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    Chapter and Conference Paper

    TextCC: New Feed Forward Neural Network for Classifying Documents Instantly

    Corner classification (CC) network is a kind of feed forward neural network for instantly document classification. To classify text object instantly, new training algorithm, named as TextCC, for feed forward n...

    Zhenya Zhang, Shuguang Zhang, Enhong Chen in Advances in Neural Networks – ISNN 2005 (2005)

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    Chapter and Conference Paper

    Principle for Outputs of Hidden Neurons in CC4 Network

    Corner classification (CC) is a kind of algorithms for instantly classification. The feed forward neural network trained by CC algorithm can be used validly by information retrieval, especially online informat...

    Zhenya Zhang, Shuguang Zhang, Xufa Wang in Advances in Neural Networks – ISNN 2005 (2005)

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    Chapter and Conference Paper

    Research on Stereographic Projection and It’s Application on Feed Forward Neural Network

    Feed forward neural network for classification instantly requires that the modular length of input vector is 1. On the other hand, Stereographic projection can map a point in n dimensional real space into the ...

    Zhenya Zhang, Hongmei Cheng, Xufa Wang in Advances in Natural Computation (2006)

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    Chapter and Conference Paper

    Vanishing Point and Gabor Feature Based Multi-resolution On-Road Vehicle Detection

    Robust and reliable vehicle detection is a challenging task under the conditions of variable size and distance, various weather and illumination, cluttered background, the relative motion between the host vehi...

    Hong Cheng, Nanning Zheng, Chong Sun in Advances in Neural Networks - ISNN 2006 (2006)

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    Chapter and Conference Paper

    Bandwidth Guaranteed Routing in Wireless Mesh Networks

    Interference can make significant impact on the performance of wireless networks. Wireless mesh networks (WMNs) allow multiple orthogonal channels to be used simultaneously in the system and the throughput can...

    Hongju Cheng, Nuo Yu, Qin Liu in Wireless Algorithms, Systems, and Applications (2006)

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    Chapter and Conference Paper

    Access Scheduling on the Control Channels in TDMA Wireless Mesh Networks

    The access scheduling on the control channels in TDMA wireless mesh networks is studied in this paper. The problem is to assign time-slots for each node in the network to access the control channels so that it...

    Hongju Cheng, **aohua Jia, Hai Liu in Mobile Ad-Hoc and Sensor Networks (2007)

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    Chapter and Conference Paper

    Access Scheduling on the Control Channels in TDMA Wireless Mesh Networks

    The access scheduling on the control channels in TDMA wireless mesh networks is studied in this paper. The problem is to assign time-slots for each node in the network to access the control channels so that it...

    Hongju Cheng, **aohua Jia, Hai Liu in Computational Science and Its Applications… (2007)

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    Chapter

    Approximate Frequent Itemset Mining In the Presence of Random Noise

    Frequent itemset mining has been a focused theme in data mining research and an important first step in the analysis of data arising in a broad range of applications. The traditional exact model for frequent i...

    Hong Cheng, Philip S. Yu, Jiawei Han in Soft Computing for Knowledge Discovery and… (2008)

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    Chapter and Conference Paper

    Forward Semi-supervised Feature Selection

    Traditionally, feature selection methods work directly on labeled examples. However, the availability of labeled examples cannot be taken for granted for many real world applications, such as medical diagnosis...

    Jiangtao Ren, Zhengyuan Qiu, Wei Fan in Advances in Knowledge Discovery and Data M… (2008)

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    Chapter and Conference Paper

    DSM based Multi-view Process Modelling Method for Concurrent Product Development

    Process management system for concurrent product development is one of the key technologies and its main functional modules include product development process modeling, process analysis, process optimization,...

    Peisi Zhong, Hongmei Cheng, Mei Liu in Global Design to Gain a Competitive Edge (2008)

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    Chapter and Conference Paper

    Mining Closed Episodes from Event Sequences Efficiently

    Recent studies have proposed different methods for mining frequent episodes. In this work, we study the problem of mining closed episodes based on minimal occurrences. We study the properties of minimal occurr...

    Wenzhi Zhou, Hongyan Liu, Hong Cheng in Advances in Knowledge Discovery and Data Mining (2010)

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    Chapter

    Mining Graph Patterns

    Graph pattern mining becomes increasingly crucial to applications in a variety of domains including bioinformatics, cheminformatics, social network analysis, computer vision and multimedia. In this chapter, we...

    Hong Cheng, **feng Yan, Jiawei Han in Managing and Mining Graph Data (2010)

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    Chapter

    Discriminative Frequent Pattern-Based Graph Classification

    Frequent graph mining has been studied extensively with many scalable graph mining algorithms developed in the past. Graph patterns are essential not only for exploratory graph mining but also for advanced gra...

    Hong Cheng, **feng Yan, Jiawei Han in Link Mining: Models, Algorithms, and Applications (2010)

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