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In this paper, we describe the LFM-1b User Genre Profile dataset. It provides detailed information on musical genre preferences for more than 120,000 listeners and links to the LFM-1b dataset. We created the dataset by exploiting social tags, indexing them using two genre term sets, and aggregating the resulting annotated listening events on the user level. We foresee several applications of the dataset...
We consider the problem of causal structure learning from data with missing values, assumed to be drawn from a Gaussian copula model. First, we extend the 'Rank PC' algorithm, designed for Gaussian copula models with purely continuous data (so-called nonparanormal models), to incomplete data by applying rank correlation to pairwise complete observations and replacing the sample size with an effective...
Obesity is increasing globally and is a risk factor for many chronic conditions such as such as heart disease, sleep apnea, type-2 diabetes, and some cancers. Research shows that food logging is beneficial in promoting weight loss. Crowdsourcing has also been used in promoting dietary feedback for food logging. This work investigates the feasibility of crowdsourcing to provide support in accurately...
Big data analysis has been pervasively adopted as a method to analyze the tremendous amount of daily generated high throughput data in an efficient and accurate manner. Among the series of tools available in the field of big biomedical data, correlation networks are one of the most powerful tools for modelling gene expression, which is important in the study of disease and ageing. With the help of...
With the development of displaying techniques, free viewpoint video (FVV) system shows its potential to provide immersive perceptual feeling by changing viewpoints. To provide this luxury, a large number of high quality views have to be synthesised from limited number of viewpoints. However, in this process, a portion of the background is occluded by the foreground object in the generated synthesised...
Color and texture have been proven to be very discriminant attributes in image analysis across many works. This paper proposes a color texture analysis method based on the graph theory, in which we convert the texture in question into an undirected weighted graph and explore the shortest paths between four pairs of pixels according to different scales and orientations of the image. Basically, we extend...
Communication skills are an integral part of the development of undergraduate students as emerging professionals in rapidly changing, multi-disciplinary engineering fields. However, many engineering educators and industry employers continue to express concerns about the quality of these skills in engineering graduates. Many universities and institutions have enhanced engineering education curriculum,...
Negative symptoms of schizophrenia significantly affect the daily functioning of patients, especially movement and expressive gestures. The diagnosis of such symptoms is often difficult and require the expertise of a trained clinician. Apart from these subjective methods, there is little research on developing objective methods to quantify the symptoms. Therefore, we explore body movement signals...
The aim of this paper is to perform a precise assessment of the misalignment of high-density surface electromyogram (HD-sEMG) grid according to its rotation with the muscle fibers. For this purpose, a generic and quantitative method was used in this study, namely the nonlinear correlation coefficient (h2) that is widely applied in connectivity and directionality of stochastic and complex signals....
The construction of knowledge graph of dangerous goods (KGDG) is with great significance of inferring relative information of dangerous goods, developing corresponding policy for its storage and transport, preventing disaster caused by dangerous goods(DG), and providing emergency plan when the disaster happens. Since distributed representation of natural language is an effective method for knowledge...
This paper investigates the uncertainty of the day-ahead distribution system scheduling considering the random variations of both Photovoltaic-based distributed generator (PV-DG) output power and load. Instead of Monte-Carlo simulation (MCS), a two-point estimation method (2PEM) is applied to obtain accurate and computation-efficient analysis results. Based on the two-year real-world hourly weather...
Electrogastrography (EGG) is an experimental non-invasive method that reflects the myoelectrical activity of the diabetic gastroparesis (D-GP) and healthy subjects gastric system. In clinical world, endoscopy and delayed gastric emptying diagnosis test are using for understand the D-GP patient's condition which are invasive, quite expensive and uncomfortable. Therefore our aim is to evaluate the Electrogastrography...
In the course of the scheduling of a project we always have to face uncertainties in the planned durations of the individual activities. The most frequently used method to handle this situation, is PERT. But PERT offers some detriments like the systematic underestimation of the real risk. Therefore a further development led to the “critical field” approach, which implies the use of Monte Carlo simulation...
This paper presents the application of runs test for indirect consideration of observation's autocorrelation in estimation of a standard uncertainty of arithmetic mean value. At first stage researches were performed by Monte Carlo (MC) simulation for two kind's random signals: first order autoregression (AR) and moving averaging (MA). Comparison of theoretical values of effective number of observations...
This paper describes an objective evaluation model for pencil still drawing images focused on the composition. The evaluation model consists of factor Fi which is defined as to cover the features value of the basic pencil still drawing image. Fi is also defined by considering a feature of subjective evaluation for the drawn pencil still drawing image. Our model approximate the features of the drawing...
A novel procedure to determine foot shape is propose. The relationship between shape features is used to discriminate shape. Five foot shape features that are Left Foot Length (LFL), Left Foot Breadth (LFB), Left Ball Girth Circumference (LBGC), Left Instep Length (LIL) and Left Fibulare Instep Length (LFIL) from a random sample of 161 Malaysians ladies were studied. Two groups of foot shape feature...
The electroencephalography (EEG) data records vast amounts of human cerebral activity yet is still reviewed primarily by human readers. Most of the times, the data is contaminated with non-cerebral originated signals, called artifacts, which could be very difficult to visually detect and, undiscovered, could damage the neural information analysis. The purpose of our work is to detect the artifacts...
Cucumber downy mildew is a kind of disease which spreads very fast and isdangerous, in order to prevent the disease, peoplealways spray plenty of pesticides indiscriminately. Accurate assessment of the level of cucumber downy mildew is very important to the disease prevention and control. In a cucumber growing season, this paper collected the typical cucumber downy mildew leaf samples, and developed...
This paper presents two intra prediction algorithms in High Efficiency Video Coding (HEVC) encoder for reducing the computational complexity and increase the encoding speed. The first algorithm takes advantage of the high spatial correlation among neighboring pixels to substitute the reference samples as the first row or first and second rows of the current block to be predicted, while the pixels...
In this paper the design of an optimal filter for noise reduction in the readout of a charge coupled device (CCD) with applications in particle detection is presented. The proposed approach uses measured data of the noise at the output amplifier of the CCD to obtain the coefficients of a filter that minimizes the pixel variance. The preliminary results show that this approach outperforms the standard...
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