Intravenous (IV) therapy has been included as an integral part of nurse's professional practice. Although it is an effective curing technique, it has some complications. Air embolism is one of such complications w...
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Nowadays, one of the most important research lines on smart power grids and microgrids is related to the evaluation of how such active infrastructures can increase energy efficiency, minimize greenhouse gases emission...
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With the rapid growth of wireless technologies and increasing number of mobile digital devices, mobility has been an important element on the Internet. NEMO Basic Support, designed by the Internet engineering Task For...
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Cooperative communications have been recommended to exploit the inherent spatial diversity gains in multiuser wireless systems without the need of multiple transceivers at each node. This is achieved when wireless nod...
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Cooperative communications have been recommended to exploit the inherent spatial diversity gains in multiuser wireless systems without the need of multiple transceivers at each node. This is achieved when wireless nodes help to each other to send multiple independent transmission paths to the destination. The advantage of cooperation can be exploited significantly by allocating the power of the system optimally. Thus, in this paper we first derive the approximate symbol error rate (SER) for multi-node cooperative networks employing decode-and-forward (DF) protocol with a maximum ratio combining (MRC) at the receiving terminals in Racian fading channels. Using the approximated SER expression, optimal power allocation (OPA) scheme under different line-of-sight (LOS) scenarios is investigated. Numerical and simulation results are presented to illustrate the performance improvement due to OPA of the cooperative networks.
Some results related to electro-mechanical characterization in frequency and temperature of PVDF piezoelectric films are reported. A rheological model of creep and recovery of the response of these samples following t...
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The peer-reviewed articles and textual data are main source of data in biology. Text mining is solution to extract information from textual data sources that are usually in bulky quantities, messy and disorganized. De...
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The peer-reviewed articles and textual data are main source of data in biology. Text mining is solution to extract information from textual data sources that are usually in bulky quantities, messy and disorganized. Dealing with this situation needs to deploy innovative methods and techniques. In this paper, we identify the current heavily used methods for biomedical text mining, their capabilities and developments, some proposed solution and how to evaluate performance. Biomedical specific challenges in text mining context have been studied with respect to proposed answers and then main future trends based on current needs and requirements have been discussed.
An innovative way of object shape representation using Density Histogram of Feature Points (DHFP) is introduced and used in this paper. We have named this method Enhanced Density Histogram of Feature Points (EDHFP). W...
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Analyzing DNA microarray data pose a serious challenge because of their large number of features (genes) and relatively small number of samples. Extracting features, those have predictive capability for classifying th...
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Analyzing DNA microarray data pose a serious challenge because of their large number of features (genes) and relatively small number of samples. Extracting features, those have predictive capability for classifying these huge datasets demands appropriate approaches like feature reduction and identifying optimal set of genes. In this paper along with conventional statistical methods like filtering the dataset to reduce the number of features, one additional approach of evaluating correlation between the classes for each feature is performed. Proposed approach yields higher classification accuracy for both Acute Lymphoblastic (ALL) and High Grade Glioma cancer dataset than using only traditional statistical filtering methods.
The increased penetration of renewable energy sources and the concept of a dynamic and highly distributed Smart Grid which can intelligently integrate production units, storage systems and connected users opened new c...
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This paper is for the study of feature analysis of the correlation of brain waves between channels in the stimulation of the 5 senses (sight, hearing, touch, smell, taste). In the existing studies, feature analysis of...
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ISBN:
(纸本)1601322178
This paper is for the study of feature analysis of the correlation of brain waves between channels in the stimulation of the 5 senses (sight, hearing, touch, smell, taste). In the existing studies, feature analysis of brain waves in response to stimulation of the human senses has been made by single sense stimulation or double sense stimulation, but, study with stimulation of all 5 senses is still not yet satisfactory. In this paper, the brain waves in response to stimulation of the 5 senses in the behavior of eating food are collected and analyzed for the analysis of the features of brain waves. From time-based data and frequency elements, features of correlation in brain waves between channels are extracted. The overlapping rates between the stimulation sections, between experimenters, and between frames consisting of channels with high correlation coefficients are calculated. In the experiment, 65 sections (32 stimulation sections, 33 break sections) of a brain wave database (DB) about the stimulation of the 5 senses were collected and analyzed for 9 men and 2 women. In the results of the experiment, the stimulation is distinguishable for each sense.
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