![Loading...](https://link.springer.com/static/c4a417b97a76cc2980e3c25e2271af3129e08bbe/images/pdf-preview/spacer.gif)
177 Result(s)
-
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 ...
-
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...
-
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 ...
-
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...
-
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...
-
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...
-
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...
-
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...
-
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...
-
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 ...
-
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...
-
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...
-
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...
-
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...
-
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...
-
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...
-
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,...
-
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...
-
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...
-
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...