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A Study on the Development of Customer-Oriented u-City Service Model for u-City Business
The concept of the u-City is the future city model based on urban innovations which include urban management, life quality improvement, new industrial development, etc. And it consists of three elements – technology, space, life style. This paper ...
The Study of Location Strategy for Bank's Branch Network through the Analysis of Inter-regional Financial Transaction Network
This study attempts to shed light on the factors that influence the locations of bank branches in establishing a bank’s branch network from the angle of the network analysis. Whereas the previous studies analyzed the locations of bank branches on the ...
The Development of Software Pricing Schemata and Its Application to Software Industry in Korea
This paper aims to suggest a comprehensive pricing schemata that software developers, sellers, and distributers can use regardless of the state of software uses. To do so, first, it reviews the criteria of pricing that are frequently discussed in the ...
A Dynamic, Architectural Model of Sabina Vulgaris Growth
Thanks to its significant value in Anti-drought, Sabina vulgaris is becoming more and more important. But much of past research work was primarily focused on its eco-physiological characteristics while ignoring its basic topological architecture and ...
Support Vector Machine Integrated CCA for Classification of Complex Chemical Patterns
SVM for classification is sensitive to noise and multicollinearity between attributes. Correlative component analysis (CCA) was used to eliminated multicollinearity and noise of original sample data before classified by SVM. To improve the SVM ...
Random Forests for Prediction of DNA-Binding Residues in Protein Sequences Using Evolutionary Information
A new machine learning approach has been developed in this study for sequence-based prediction of DNA-binding residues in proteins. The approach used both the labeled data instances collected from the available structures of protein-DNA complexes and ...
EEG Analysis of Frontal Lobe Activities by Decision Stimuli
The brain is processing various acts and thoughts of humans. Among the functions of the brain, decision making, reasoning and complex calculation are governed by the frontal lobe. If the FLA (Frontal Lobe Activity) is kept low for a long period of time, ...
Score Based Biometric Template Selection and Update
A biometric system usually contains two stages: registration and authentication. Most biometric systems capture multiple samples of the same biometric trait at registration. As a result, it is essential to select several samples as templates. This paper ...
Voice as a Robust Biometrics
Robust voice based features for biometric authentication in noisy environments are proposed. The proposed processing includes Gamma tone auditory bandpass filtering of speech signal, rectification, and compression to model the effects of the auditory ...
Neuronal Spike Sorting Based on 2-Stage RBF Networks
In this paper, 2-stage Radial Basis Function (RBF) Network method is used for neural spike sorting. Firstly, raw signals are obtained from Neural Signal Simulator, and added white noise ranged from -10dBto -40dB. Secondly, spikes are detected out with ...
Identification and Mapping of QTLs for Resistance to Ascochyta Blight (Pathotype III) in Chickpea
- Alireza Taleei,
- Homayoun Kanouni,
- Michael Baum,
- Seyed Ali Peyghambari,
- Seyed Mahmood Okhovat,
- Mathew Abang
Microsatellites have become markers of choice for molecular mapping and marker assisted selection of key traits such as disease resistance in many crop species. The aim of this study was to construct a genetic linkage map and analysis of quantitative ...
A Novel SVC Method Based on K-means
In this paper, a novel support vector clustering algorithm based on k-means (SVC-KM) is presented not only improve the SVC running speed, but also overcome the weaknesses of k-means algorithm. Firstly, SVC algorithm was employed to identify some samples ...
The Application of Support Vector Machine to Operon Prediction
In this paper, we apply the least-square support vector machine (LS-SVM) to operon prediction of Escherichia coli (E.coli), with different combinations of intergenic distance, gene expression data, and phylogenetic profile. Experimental results ...
Identifying Biologically Significant Pathways by Gene Set Enrichment Analysis Using Fisher's Criterion
Gene set enrichment analysis (GSEA) is a computational method to identify statistically significant gene-sets showing differential expression between two groups. In particular, unlike other previous approaches, this enables us to uncover their ...
An Evaluated iSCSI Protocol for an Embedded Multi-agent Based Health Care Service
In this paper we have proposed a parameter-evaluated iSCSI protocol that automates the multi-agent coordination on the resource-constrained devices for the healthcare service. The coordination between the resource control devices and automated agents ...
RFID System for Medical Charts Management and Its Enhancement of Recognition Property
Many hospitals adopt hand-in-out system for patient management and patient’s disease history report. It causes medical report sheets in-out to complicate in a hospital’s related department and it is a heavy burden to worker. Sometimes, it can give rise ...
The Vulnerabilities Analysis of Fuzzy Vault Using Password
Fingerprint is immutable and unchangeable. Thus, if it is disclosed, owner of fingerprint cannot use his fingerprint any longer. Fuzzy vault is a cryptographic framework that makes secure template storage to bind the template with a uniformly random ...
Modeling the Marginal Distribution of Gene Expression with Mixture Models
We report the results of fitting mixture models to the distribution of expression values for individual genes over a broad range of normal tissues, which we call the marginal distribution of the gene. The base distributions used were normal, lognormal ...
HaDextract: Extracting HLA-Disease Interaction Information from Biomedical Literature
The HLA control a variety of function involved in immune response and influence susceptibility to over 40 diseases. It is important to find out how HLA cause the disease or modify susceptibility or course of it. In this paper, we developed an automatic ...
Diabetes Data Analysis and Prediction Model Discovery Using RapidMiner
Data mining techniques have been extensively applied in bioinformatics to analyze biomedical data. In this paper, we choose the Rapid-I’s RapidMiner as our tool to analyze a Pima Indians Diabetes Data Set, which collects the information of patients with ...
Sensor based Environment Adaptive Learning System for Person Authorization
This paper presents a robust distributed architecture for adaptive and intelligent systems, called EAS (Environment Adaptive Learning Scheme), with self-learning capability to use under dynamic and uneven environments. Our proposed system adopts the ...
Index Terms
- Proceedings of the 2008 Second International Conference on Future Generation Communication and Networking - Volume 03