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Microarray data analysis is a very popular topic of current studies in bioinformatics. Most of the existing methods are focused on clustering-related approaches. However, the relations of genes cannot be generated by clustering mining. Some studies explored association rule mining on microarray, but there is no concrete framework proposed on three-dimensional gene-sample-time microarray datasets yet...
Recently, liquid chromatography coupled to mass spectrometry (LC-MS) has become a standard technique for identifying differential abundance of peaks as biomarkers. Two major problems in the preprocessing of LC-MS data analysis are how to adjust and align multiple LC-MS datasets efficiently and correctly. Hence, an effective algorithm is needed to adjust the variation in retention time and align protein...
Energy efficiency is of great importance for the wireless sensor network (WSN). A popular way to save energy is to construct clusters for data aggregation and forwarding. This paper studies the distributed cluster algorithm to improve the energy consumption efficiency. We observe that the cluster head has to lie within the transmission range of the base station (sink node) and the distance between...
Cooperative Peer-to-Peer (P2P) information repair has been proposed to mitigate the packet loss among mobile peers during the 3G Cellular Base Station (BS) broadcast. Then network coding based P2P information exchange algorithms have been proposed to further improve the network performance, e.g., PIE algorithm and DNC-CPR algorithm. In this paper, we propose a connected dominating set (CDS) based...
Transient faults have become a key challenge to modern processor design. Processor designers take Architectural Vulnerability Factor (AVF) as an estimation method of micro-architectures soft error rate. Dynamic, phase-based system reliability management, which tunes system hardware and software parameters at runtime for different phases, has become a focus in the field of processor design. Phase characterization...
This study attempts to detect wheeze with k-means clustering algorithm. The subjects which included normal and wheeze sounds were evaluated. The algorithm presented a good performance to filter out noise and segment wheeze episode regions in the spectrograms. The results show that the clustering algorithm improved the signal-to-noise-ratio (SNR) from 29.02 ± 8.65 to 30.49 ± 9.01 dB in the cases of...
Energy efficiency is especially important for the cluster of the wireless sensor network (WSN). This paper studies how to increase availability and survivability of WSN by selecting a suitable cluster head. For this purpose, we propose a hybrid relative distance based clustering scheme (HRDCS), to promote the efficiency of energy utilization. In HRDCS, both the relative distance and the residual energy...
Nowadays, more and more interest has been shown in the automatic categorization methods to organize media data as there are increasing number of videos data in people daily life. In the image processing domain, clustering method is the backbone of person specific searching and image retrieval from an image sequence or database. This paper presents a fast image clustering algorithm based on human face,...
In recent years, the mass spectrometry technologies emerge as useful tools for biomarker discovery through studying protein profiles in various biological specimens. In mining mass spectrometry datasets, peak alignment is a critical issue among the preprocessing steps that affect the quality of analysis results. In this paper, we proposed a novel algorithm named Two-Phases Clustering for peak Alignment...
Integrated optical and wireless networks are considered as the next generation access networks because of the potential benefits from both technologies. In this paper, we consider the integrated BS/ONU (IBO) placement problem in the hybrid EPON-WiMAX system to efficiently utilize network resources as well as reduce the system cost. We propose a modified clustering algorithm (MCA) to obtain the near-optimal...
Scientific and reasonable classification of electricity consumer is the very premise of the fair pricing of electricity tariff. The great amounts of electricity consumers make it impossible to neglect the difference of their load curves when classifying them. The theoretic classification results are not operable to implement the practical electricity tariff. Thus, establishing the proper electricity...
This article applies principal component analysis (PCA) and cluster analysis to solve the customer classification problem of an actual power supply network. First, the article defines the index system which will influence the cost of power supply significantly. The index system includes power supply, maximum need, load rate etc. Second, the article uses PCA to filter the source data from these index...
The wireless sensor network is a type of the wireless ad-hoc networks. It is composed of nodes with limited battery power. One of the most critical issues in designing wireless sensor networks is to minimize the energy consumption for longevity. In this paper, we first entirely analyzes state clustering protocol and LEACH routing protocol, then present a novel clustering routing protocol for wireless...
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