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In this study, we focus on extraction of latent topic transition from POS data. POS analysis is conducted to obtain the frequent pattern of customer's behavior. The fundamental method for POS analysis is to conduct market basket analysis. By doing Market basket analysis, the sets of products that are often bought at the same time can be extracted. In market basket analysis, however, the effect of...
Every year football clubs trade players in order to build competitive rosters able to compete for success, increase the number of their supporters and amplify sponsors and media attention. In the complex system described by the football transfer market can we identify the strategies pursued by successful teams? Where do they search for new talents? Does it pay to constantly change the club roster?...
In the original algorithm for grey correlation analysis, the detected edge is comparatively rough and the thresholds need determining in advance. Thus, an adaptive edge detection method based on grey correlation analysis is proposed, in which the basic principle of the original algorithm for grey correlation analysis is used to get adaptively automatic threshold according to the mean value of the...
Given data in a matrix X in which rows represent vectors and columns comprise a mix of discrete and continuous variables, the method presented in this paper can be used to generate random vectors whose elements display the same marginal distributions and correlations as the variables in X. The data is represented as a bipartite graph consisting of object nodes (representing vectors) and attribute...
We examine the use of the Fourier transform to discriminate dynamic behavior differences between congested and uncongested systems. Simulation continuous time statistic ‘trajectories’ are converted to time series for Fourier analysis. The pattern of Fourier component magnitudes across frequencies differs for congested versus uncongested systems. We use this knowledge to explore statistical process...
The tutorial will be used to introduce some basic techniques for analysing the output of stochastic simulation models. Using examples, we will describe methods for determining the optimal warm-up length and number of replications as well as introducing ways of using simulation to compare different systems.
The division of a micro-video course content is needed in order to think about decomposition and correlation design of the course content. This paper analyses the principle of dividing a micro-video course content, and defines the connotation and classification of knowledge points in a micro-video course. Based on the analysis of instructional objectives, the decomposition of a micro-video course...
Taking the group of IT R&D personnel as the research subject, we investigated 267 employees through the questionnaire of work-family conflict, work-family promotion, psychological contract and turnover intention. The results showed: 1) Work-family conflict negatively affects psychological contract, and positively affects turnover intention; 2) Work-family promotion positively affects psychological...
The increasing importance of services in high-wage countries calls for a detailed examination of service productivity and complexity in current research projects. This paper describes the development of a measurement model with regard to service productivity and complexity of emergency medical services. While the measurement model of service productivity is partly literature-based, a novel construct...
Despite the great development in modeling the I-V characteristics of the PV module, the outdoor conditions variations still the main difficulty to predict its performances. In this work, anew approach proposed to reconstruct the I-V characteristic of a PV module under variousreal conditions of irradiance and temperature. Based on the characterization tests data, carried out on four different PV modules...
Financial information extraction from big financial reports is a tedious task. This paper speaks about page-wise feature generation and applying learning algorithms for identifying financial information (balance sheets, cash flows, and income statements) in Form 10-K or annual reports of companies. Balance sheets, cash flows, and income statements have some structure in them and are semi-structured...
Universities are required to prepare the best quality graduate. Therefore, they will be ready to contend and to be an ambitious individual in the real world. All graduates are judged by their Grade Point Average (GPA). Therefore, in Indonesia, it is critical to maintaining a good GPA from the first semester until the graduation. Although the student is the main actor, it is not only their job to maintain...
A new method to extract fetal electrocardiogram (FECG) signal from the mixed ECG signals is presented by introducing time-correlation to traditional independent component analysis (ICA). FECG signal extraction is a hot research topic because the FECG signal reflects the heart situation of the fetus and provides the basis of early diagnosis. In this paper, an objective function based on time-correlation...
The penetration of distributed generation (DG) in an active distribution system could affect the fault current level and characteristics of the original/traditional system. Thus, the protection system originally configured for a traditional distribution system should be updated to meet the operational requirement of an active distribution system. In developing a fault diagnosis method for an active...
Atomic spin gyroscope is a new kind of gyro based on quantum mechanics, with ultra-high precision, simple structure, small size, etc. Therefore, to study the characteristics of random drift for improving the accuracy of atomic spin gyro is significant. Firstly, through the analysis of the gyro static output data and preprocessing, the stationary time series gyro random error has obtained. Then established...
Error forecasting for electric energy measurement equipment is the foundation of its operation condition forecasting and fault early warning. This paper proposes a kind of forecasting model and algorithm for electric energy metering error based on intrinsic time-scale decomposition (ITD) and time series analysis. Error is decomposed into a steady baseline component and multiple rotation components...
The shift from centralised large production to distributed energy production has several consequences for current power system operation. The replacement of large power plants by growing numbers of distributed energy resources (DERs) increases the dependency of the power system on small scale, distributed production. Many of these DERs can be accessed and controlled remotely, posing a cybersecurity...
Through defining the influence factor adjusting the percentage of two parameters and the weight parameter adjusting the heterogenous degree of network, the proposed tunable edge weight model is in accordance with the weights of many real networks. Parameter values of tunable edge weight model are achieved when the ability against failure spreading of networks reaches the maximum through numerical...
Currently, the requirements of service quality in the electric power data network are getting higher and higher, and traffic prediction is an important premise to promote service quality. In order to accurately predict the total traffic of communication channels, a Multi-Applications Comprehensive Traffic Prediction (MACTP) model is proposed in this paper. Differing from F-ARIMA and S-ARIMA models...
The densification of small cells (SCs) and caching at the edge are two promising approaches to improve the network throughput, reduce end-to-end delay and backhaul cost in future 5G wireless networks. However, current analysis and design only focus on the system state at a certain time, neglecting the temporal-spatial fluctuation of traffic and the content popularity variations, which are often affected...
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