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A zero-correlation zone (ZCZ) sequence set consisting of multiple ZCZ sequence subsets is said to be an asymmetric ZCZ (A-ZCZ) sequence set if and only if the cross-correlation function (CCF) between two arbitrary sequence which belong to different subsets has quite a large zero-cross-correlation zone (ZCCZ). In such an A-ZCZ sequence set, each subset is a conventional ZCZ sequence set. Our proposed...
It is known that Motor Imagery (MI) improves neurorehabilitation in stroke patients while action observation (AO) has the potential to facilitate MI. However, little is known about how to use AO effectively in MI practice. The aim of our study is to compare the effectiveness of synchronous and asynchronous AO in facilitating MI for neurorehabilitation of stroke patients. The participants with hand...
This paper reports a pilot study where we link different types of data for explaining prices. In this study, we link the apartment rent data with the publicly accessible location data of landmarks like supermarkets, hospitals, etc. We apply the regression analysis to find the most important factor determining the apartment rents. We claim that the results of this type of spatial data mining can enhance...
Intensity of human causal induction is expressed by statistical models in cognitive science. A statistical index, pARIs, which is one of the models of human causal induction, has good performance on some tests. The form of pARIs is nearly equal to one of Jaccard index. However, it has not been known yet why pARIs can be related to intensity of human causal induction. In this study, we propose pARIX...
Cortical neural networks are known to exhibit the spontaneous spiking activity with low firing rate (≈ 1 [Hz]) and high randomness, but the high coherent spike transmission between specific neurons. Recently, the genesis and function of this spontaneous activity in the brain has been increasingly gaining attention. Teramae et al. proposed that these features can be caused by the synaptic weights following...
The radiation of complex sources in either free-space or reflecting environments is described through a statistical approach involving the field-field correlation function. A representation in phase-space, the Wigner distribution function, is used to unveil the wave mechanics of waves propagated in the near-and far-fields. An evolution operator for these Wigner functions is derived and approximation...
This paper discusses the effect of losses in determining the optimal capacity of DC cable for a Solar Photovoltaic (PV) system application. The optimization problem is formulated to trade-off between the costs of losses against the cable investment cost over the operational lifetime of the cable. This is to minimize the total cost. The optimization problem is solved in closed form, clearly pointing...
Mother love is essential for mother-child relationship, and is important for child's development. Despite of series of studies pertaining to the neural substrate of parental love, to date, however, no publication is found regarding the neural substrates of maternal love in shopping. In this study, we examined first-time mothers' brain activations in response to mother-related (purses, make-ups, and...
In this paper we consider the problem of matching feature points between multi-source images. Straightforwardly comparing visual features such as SIFT may result in desirable local feature correspondences for single-source images. However, when it comes to matching feature between multi-source images, e.g. between an RGB color image and an infrared image, the feature based matching scheme tends to...
In recent researches, wind speed model of single wind farm has been used to study the traditional wind farms modeling, ignoring the correlation between series of multiple wind speeds. Based on Copula function and ARMA model, a dependent model for multivariate wind speed series is proposed. Firstly, Copula multivariate distribution model is used to capture spatial dependencies, and then ARMA model...
This paper introduces a method of accurately estimating the impedance of branch circuit in distribution secondary network provided the distribution network topology is known from GIS. By leveraging a series of smart meter measurements at end nodes of the distribution network, mainly voltage, active power and reactive power at customer sites, it calculates the voltage of the most upstream node or source...
We review the modeling of nonlinear interference noise (NLIN) in fiber communications, focusing on the accurate extraction of the NLIN variance, the dependence on modulation format, the role of nonlinear phase-noise and the existence of temporal correlations. We show ways in which temporal correlations can be exploited for reducing the impact of NLIN, and discuss the prospects of this procedure in...
This paper focuses on the impacts of considering batteries state-of-charge (SOC) at the departure time on the demand modeling of plug-in electric vehicles (PEVs). Almost all of the previous researches assumed that PEVs batteries at the departure time are fully charged; however, this assumption is highly questionable because it is probable for a PEV to not be charged every day. The probability density...
Cosmology is a data intensive field that will become more so in the coming years. In this scenario, GPU-computing is becoming very relevant for analysing large catalogs within a reasonable amount of time. In this work, we investigate the acceleration of the analysis by using a hybrid MPI-CUDA implementation.
We develop a novel approach to predict certain type of stability events (battles, battles won by a government, riots/protests, violence against civilians) in countries by monitoring the content of a mix of traditional news, blog, and social media data. Specifically, we show that by monitoring sentiment on both pro- and anti-government entities within a country, even with a relative paucity of longitudinal...
How can we effectively use costly statistical models in the defence of large computer networks? Statistical modelling and machine learning are potentially powerful ways to detect threats as they do not require a human level understanding of the attack. However, they are rarely applied in practice as the computational cost of deploying all but the most simple algorithms can become implausibly large...
Ghost imaging has attracted a lot of attention since it was first demonstrated. However, the image contrasts of ghost imaging are usually unsatisfying and have became a main obstacle in ghost imaging application. In this article, the contrast of ghost image of a single-slit transmission mask using linearly polarized light is analyzed. The theoretical analysis and simulation demonstrated that the contrast...
A novel method for the analysis of long-range cross-correlations and multifractality — qth-order mixed moment structure partition function (Q-MMSPF) method is proposed in this paper, and is used to investigate the multifractal cross-correlation characteristic of sea clutter data. An approach based on a new statistical index is put forward for detecting the targets in sea clutter. The experiments results...
In today's world, social networks are one of the most popular ways of communication. Communication and relations among people can be monitored based on interaction on social networks. The question is the exact meaning of this interaction and can the real life relationship be interpreted from interaction on social networks. In this study, we used the most popular social network Facebook with the aim...
There are large numbers of news articles on Web pages every day. Each article usually reports some aspects of a complex event, but they do not report the whole picture of the event. People are often interested in not only a single event but also the correlations between events and the evolution of the complex event, if they want to be aware of the whole picture of the complex event, they have to browse...
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