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Knowledge can be understood as the specification of classifications and causes, kinds and causes usually are fuzzy. Fuzzy Cognitive Maps has been applied in different areas to express the dynamic behavior of a set of related concepts. Its graphical structure allows systematic causal propagation forward and backward chaining. In the same way, nowadays individuals use a lot of different technological...
We propose a variable multi-pulse pulse-position-modulation (VMPPM) system with a dimming control that combines the use of pseudo-orthogonal codes and MPPM. In VMPPM, r slots are selected from n MPPM slots and codes for data are generated in each selected r slot according to source data equation [bit/frame]. This enables VMPPM to achieve a higher data-transmission rate than the conventional variable...
Visualization models can assist in understanding the complex pattern of disease, where the signs may be buried in complex data. In this work we propose a new method for visualization of data derived from Heart Rate Variability (HRV) analysis, to indicate whether a person has developed, or is developing, signs of definite Cardiac Autonomic Neuropathy (CAN). Here, the visualizations are compared with...
In neonatal research, physiological signals are often degraded by an artifact generated by movement of the infant. Portions of these movement embedded signals are commonly excluded in the analysis of the relevant physiological signal. However, movement may be a significant marker of physiological development of the infant. Here we present results from a wavelet-based algorithm that quantifies neonatal...
The neural mechanisms of music listening and appreciation are not yet completely understood. Based on the apparent relationship between the beats per minute (tempo) of music and the desire to move (for example feet tapping) induced while listening to that music it is hypothesised that musical tempo may evoke movement related activity in the brain. Participants are instructed to listen, without moving,...
Nowadays, the technologies for detecting, processing and interpreting bioelectrical signals have improved tremendously. In particular, surface electromyography (sEMG) has gained momentum in a wide range of applications in various fields. However, sEMG sensing has several shortcomings, the most important being: measurements are heavily sensible to individual differences, sensors are difficult to position...
We analyzed the relation between Alzheimer's disease (AD) severity as measured by Mini-Mental State Examination (MMSE) scores and quantitative electroencephalo-graphic (qEEG) markers that were derived from canonical correlation analysis. This allowed an investigation of EEG synchrony between groups of EEG channels. In this study, we applied the data from 79 participants in the multi-centric cohort...
A new physiological index (μPA) is proposed to represent the autonomic nervous system (ANS) function. The index μPA is defined as the natural logarithm of the ratio between two different frequency components of the pulsatile amplitude of the photoplethysmogram (PPG) signal. The discrimination ability and the reproducibility of μPA have been compared with other traditional ANS indices. In the experiment,...
Seizure detection and prediction studies using scalp- or intracranial-EEG measurements often focus on short-length recordings around the occurrence of the seizure, normally ranging between several seconds and up to a few minutes before and after the event. The underlying assumption in these studies is the presence of a relatively constant EEG activity in the interictal period, that is presumably interrupted...
Static posturography is an important measurement in the diagnostic workup for patients with postural instability. New wearable sensor technologies enable researchers to use in-shoe pressure soles in the home environment and outdoor applications. In this study a newly developed in-shoe pressure sole was used for calculating the sway path and 95 % confidence ellipse area as the standard parameters of...
Background subtraction is one of important fundamental steps in many image processing applications such as object recognition, detection, tracking, human behavior analysis in video surveillance systems, etc. So the background subtraction method must be efficiency, that is saving time and space and have a good performance. In order to achieve this aim, a new background subtraction method is proposed...
The purpose of poverty declaration and evaluation of university students is to help the poor students to overcome economic difficulties, and to provide security for their normal life and learning. In this paper, we use the fuzzy comprehensive evaluation method to build a poverty evaluation model of university students. We combine the actual situation and questionnaire of a real university firstly,...
Cooperative Vehicle Infrastructure System is an important research area of ITS. Evaluation of CVIS aims to evaluate the technical feasibility, economic benefit and the social effects of CVIS. This paper puts forward a comprehensive evaluation method based on Analytic Hierarchy Process (AHP) and Grey Relational Analysis Process (GRAP). It selects parameters which can reflect the performance of traffic...
Much research has been done to detect human emotion using various computational methods, such as physiological measures and facial expression recognition. These methods are effective but they could be expensive or intrusive as special setups of equipments are needed. Some researchers have utilized non-intrusive methods by using mouse or keyboard analyses and presented comparable effectiveness in detecting...
The purpose of this pilot study was to check the validity issues for an online historical-documents reading literacy assessment (OHDRLA) and an online historical reading attitude questionnaire (OHRAQ). Items of OHDRLA were developed based on PISA 2012 reading aspects and history contents. The former dimension includes the abilities to access and retrieve, integrate and interpret, and reflect and evaluate...
Cyberbullying has emerged as an important and growing social problem, wherein people use online social networks and mobile phones to bully victims with offensive text, images, audio and video on a 24/7 basis. This paper studies negative user behavior in the Ask.fm social network, a popular new site that has led to many cases of cyberbullying, some leading to suicidal behavior.We examine the occurrence...
Existing approaches of social influence analysis usually focus on how to develop effective algorithms to quantize users' influence scores. They rarely consider a person's expertise levels which are arguably important to influence measures. In this paper, we propose a computational approach to measuring the correlation between expertise and social media influence, and we take a new perspective to understand...
This paper studies a user interface innovation in digital textbooks on tablet PCs which supports a new learning style in user active learning. The style consists of handwritten annotations on digital textbooks and automatic question generations based on users' markings. First we discuss current problems and issues for digital textbook markings to support user active learning and then propose a learning...
In recent years, there have been important and immediate requirements to diagnose and improve the quality of higher education in Japan. In this paper, we applied principal component analysis to explore higher education indicators based on a published basic education database of Japanese national and public universities, including educational and research expenditure, number of faculties, and book...
Current human-robot-interaction research methods could benefit from an age-appropriate scale that measures children's attitudes towards robots. This paper presents the design process and evidence for the validity of the Children's Openness to Interacting with a Robot Scale (COIRS). We report findings from a pilot test on a diverse population of 172 U.S. students between the ages of 8–11. High average...
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