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In this paper we study the application of Matrix Completion in topic detection and classification in Twitter. The proposed method first employs Joint Complexity to perform topic detection based on score matrices. Based on the spatial correlation of tweets and the spatial characteristics of the score matrices, we apply a novel framework which extends the Matrix Completion to build dynamically complete...
Massive MIMO is a promising technology for the 5G mobile communications system and contributes to the enhancement of multi-user MIMO transmission. However, the user scheduling of multi-user MIMO transmission requires a high computational complexity because the matrix operation is performed to estimate SINR, which is used as a user selection criterion. In this paper, we investigate low complexity multi-user...
Owing to its efficiency and cost effectiveness, auscultation using a stethoscope is the primary diagnosis method preferred by most medical examiners for cardiovascular disease. Phonocardiography (PCG) is the next level of auscultation and an effective analysis technique in cardiology. This paper presents a method to quantify Mitral Regurgitation (MR) using PCG. MR is one of the most common cardiovascular...
35 intra-prediction modes in High Efficiency VideoCoding (HEVC) make the prediction image more accurate andsignificantly improve the coding image quality, but numerousintra-prediction modes results in a remarkable rise incomputational complexity compared with H.264.In order toreduce computational complexity, a low-complexity HEVC intracomputation method that utilizes image textural featureinformation...
This paper uses spectral analysis and correlation dimension index to examine the developmental differences between the EEG measured from two hippocampal subfields, CA1 and the dentate gyrus. The study was focused on the hippocampal EEG during the vigilance state of REM sleep in freely moving rats of 15 and 90 days of age. Power spectra, magnitude-squared coherence, and correlation dimension were estimated...
Hospitals can experience difficulty in detecting and responding to early signs of patient deterioration leading to late intensive care referrals, excess mortality and morbidity, and increased hospital costs. Our study aims to explore potential indicators of physiological deterioration by the analysis of vital-signs. The dataset used comprises heart rate (HR) measurements from MIMIC II waveform database,...
Respiratory rate (RR) is one of the most informative indicators of a patient's health status. However, automated, non-invasive measurements of RR are insufficiently robust for use in clinical practice. A number of methods have been described in the literature to estimate RR from both photo-plethysmography (PPG) and electrocardiography (ECG) based on three physiological modulations of respiration:...
A sorting algorithm is one that puts elements of a list in a certain order. It makes easy searching and locating the information. The most-used orders are numerical order and lexicographical order. An efficient sorting algorithm is that takes less time and space complexity. In this paper I make contrastive analysis of bubble sort and merge sort and tried to show why required some new approach to get...
The ability of the human mind to perceive visual informationmakes visualization not only useful, but a powerful toolfor information discovery. Answering questions about complexrelationships requires the analyst to choose a statistical analysistechnique that makes relationships visually discernible. Oftenthe proper technique is dependent on the characteristics of thedataset, such as dependency among...
Tool use constitutes a range of complex behaviors that generally require a sophisticated level of cognition, and is only found in higher mammals and a number of avian species. In this paper, we will examine how different strategies for using a tool emerge during the simulated evolution of a two degree-of-freedom articulated limb in a reaching task environment. The limb is controlled by recurrent neural...
Most studies of Estimation of Distribution Algorithms (EDA) are restricted to low dimensional problems due to EDA being susceptible to the curse of dimensionality. Among methods that try to scale up EDA to high dimensional problems, EDA-MCC was recently proposed. It controls the complexity of the search distribution by thresholding correlation estimates as a means to approximate the prominent dependency...
Many works have attempted to characterize the complexity of classification problems by measures extracted from their learning datasets. These indexes provide indicatives of the inherent difficulty in solving a given classification problem. Although regression problems are equally frequent, there is a lack of studies in Machine Learning dedicated to understanding their complexity. This paper proposes...
A measurement method for the evaluation of the image complexity based on SIFT&K-means algorithm, namely the estimation of the mismatch between the target and the interesting points has been introduced in our previous research. Based on this method, we have made some improvements to calculate the image complexity of images with different memory targets. The improved algorithm SIFT&AIM&K-means...
In diversity-based multiple antenna cognitive radio system, the performance of the existing cooperative spectrum sensing algorithms based on covariance matrix degrades seriously due to the channel correlation. In this paper, we formulate spectrum sensing as a multinomial distribution test problem, and then apply the Discrete Anderson Darling (DAD) test, one of discrete goodness of fit tests, to examining...
The complexity of a system needs to be understood completely in order to build and run successful systems. Cybernetics Influence Diagram is a qualitative model which has been used in a large program for depiction of the system complexity [11][12][13]. The depiction is qualitative in nature. Generally the subject matter experts (SME) try to understand the complexity of a system by capturing the influences...
There is growing interest in multiplex networks where individual nodes take part in several layers of networks simultaneously. From transportation networks to complex infrastructures, and to social and communication networks, a large variety of systems can be described in terms of multiplexes formed by a set of nodes interacting through different layers of networks, for example, in social networks...
This paper proposes a deterministic propagation model for Coverage Hole Detection (CHD). In the well known 3GPP and the 4G mobile telecommunications technology, the minimization of drive test is an important issue, where CHD is often conducted by the costly drive test. This paper utilizes the radio link failure report mechanism specified in 4G to achieve CHD, which can significantly reduce the costly...
Based on the concept of reconfigurable antennas (RAs), SSK-RA has been recently proposed as a novel transmission scheme to improve the performance of space shift keying (SSK). In this context, it has been shown that RAs' reconfigurable properties can be used as additional degrees of freedom to enhance the throughput, implementation complexity, and error performance of SSK. In this paper, we extend...
Channel coding for the next generation communication system needs to support higher data throughput and transmission rate. Due to the inherent parallel feature, low density parity check (LDPC) codes comply with the target. In this paper, we propose a complete channel coding scheme based on structured LDPC codes. In our design, the correlation among different parity check matrices for different code...
For secure transmissions, we consider direct sequence/spread spectrum (DS/SS) systems where pseudo-random (PN) sequences are used for spreading. To generate PN sequences, linear feedback shift registers (LFSRs) are employed, which are also used to generate keystreams in stream ciphers. For steam ciphers that use LFSRs, there are known attacks including correlation attacks that can regenerate keystreams...
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