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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...
The significant number of fails and dropouts in computing undergraduate courses, especially in mathematics and programming, remains a challenge. Although the motivation can be directly related to the success of the student, it has only been addressed by a few studies. The purpose in this paper is to assess the impact of factors prior to university on the performance and motivation of undergraduate...
Semantic similarity of texts is one of the important areas of Natural Language Processing, and there are several approaches to measure similarity: statistical, WordNet based, and hybrid. For all of these approaches, a lexical knowledge is used such as corpus or semantic network. WordNet is one of the most preferred and mature lexical knowledge base. In this study, we have focused on measuring semantic...
The level of electromagnetic radiation (EMR) exposure increases day by day as natural consequences of technological developments. In recent years, the increasing use of cellular systems has made it necessary to measure and evaluate EMR originating from base stations. In this study, broadband and band selective electric field strength (E) measurements were taken at four different times in order to...
In the article, for the first time, the regionalization of extremist materials and its relation to money laundering regionalization are studied on the example of 83 subjects of Russian Federation on reliable initial data. Using the standard toolkit, it has been investigated that such a connection is not essential, indicators of extremist materials are loosely associated with indicators of money laundering,...
In this study, the vibration signal is used to analyze the state of an induction motor, and the statistical method is used to extract the defect characteristics to enhance the knowledge base. However, the anomaly pattern recognition system is composed of the inverted neural network algorithm. The result of pattern recognition shows that the five-dimensional index is reliable and has no errors. In...
The index of gate capacity evaluation in urban rail traffic involves many factors. From the aspect of supply-demand relationship, the evaluation system for gate capacity of urban rail traffic is constructed, which integrating Delphi method and improved Fuzzy Analytical Hierarchy Process (FAHP). Four first-level indices and thirteen second-level indices are selected. Fuxingmen station on Subway Line...
This paper presents a clock-less digital pulse stretcher which takes a short pulse as input and produces a detectable pulse that is longer than a required minimum duration. The proposed structure has high sensitivity to input pulse width and height and is capable of detecting deep sub-nanosecond pulses. This enables a wide variety of applications ranging from characterization of radiation-induced...
In order to strengthen the management of taxi and implement effective regulation and control on the taxi operation, one design approach of the operation monitoring and statistics analysis system for taxi based on the GPS information was developed in this paper. Firstly the taxi operation monitoring and statistical analysis index system is drawn up in this paper, and then the key technology of the...
Most domestic and foreign experts and scholars make their identifications and assessments of the risk integration of logistics information only rely on the extant experience of experts and few of them ever have done a comprehensive risk identification in the stage of logistics information integration, which let alone a quantitative analysis and assessment. So in this article we set up a frame of risk...
To understand connectivity among companies in financial news, and their overall influence, we define an algorithm for ranking companies in networks of positive, negative and mixed co-occurrences. We collect a homogeneous set of financial articles from crowd sourced news to get a sentiment polarization between positive and negative news. We use this polarization to develop three types of sentiment...
We report an investigation of data analysis methods derived from other disciplines, which we applied to physics software systems. They concern the analysis of inequality, trend analysis and the analysis of diversity. The analysis of inequality exploits statistical methods originating from econometrics; trend analysis is typical of economics and environmental sciences; the analysis of diversity is...
Procedures of dichotic listening of speech are considered. Random walk theory and sequential Wald analysis are proposed as a means to minimize the necessary number of stimuli presentations, keeping statistical significance of the results at an acceptable level. An algorithm of choosing of the earliest possible stopping time of experiment, when providing conclusive results is proposed. The algorithm...
The operation error of the electric energy metering device directly affects the accuracy of the electricity trade calculation, so it's very important to ensure the device working accurately. Based on the electric energy meter condition assessment model, considering economic benefits, management benefits and social benefits, we use fuzzy analytic hierarchy process to establish a rotation meter benefit...
Twitter has transformed from an online platform for communication to a mega content generator for all kinds of topics. The topic of posts (or tweets) generated on Twitter cover diverse topics of interests. For example, politics, public personalities, events and corporate organizations. In this study, we analysed if tweets related to corporate organizations can predict the financial market. Our analysis...
Based on the analytic network process approach (ANP), a new evaluation method is using for college teaching, namely EM-ANP, is proposed in this paper. Compared with evaluation approaches of traditional college teaching, ES-ANP includes two kinds of steering group criteria and student criteria, and the interdependent relationship between two criteria. The conclusion shows that this kind of teaching...
As the important factors affecting the economic growth, system innovation and technological innovation have been widely attended. But there is little quantitative research on them. According to the theory of grey correlation analysis, this paper calculates the contribution degree to the economic growth through 10 indexes which can measure the system and technological innovation from 2005 to 2014....
In this short paper we briefly revise the criteria defining near and far field. After an extension of the radian sphere notion to finite size sources, we generalize the amplitude and phase criteria for arbitrary source structures. Next we identify with a representative example the wavelength distance where the near field has reached the shape of the far field directivity, then we quantify the difference...
A serious failure of a power transmission line can generate substantial financial losses due to the power outage. Consequently, utilities have a clear incentive to assess the actual condition of strategically important transmission lines, with the aim to minimize the risk of failures, enhance the maintenance practices and plan the development of the transmission network. This work focuses on the analysis...
Currently, the worldwide open and distance education institutions are carrying out teaching reform measures continuously to ensure open education quality, while teaching reform courses examination data analysis results will be able to reflect open education teaching reform effectiveness objectively. So Wilcoxon Rank Sum Test based examination data analysis scheme is proposed in this paper to detect...
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