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It is found that the GARCH (1,1) model has a good fitting effect on the time series by the statistical analysis of the logarithmic yield of the closing price of the Shanghai Composite Index. Therefore, this paper first uses the model GARCH (1,1) predicts the daily closing price of the Shanghai Composite Index, and then uses the Fourier series to correct the predicted residuals to obtain the final...
Networks are models representing relationships between entities. Often these relationships are explicitly given, or we must learn a representation which generalizes and predicts observed behavior in underlying individual data (e.g. attributes or labels). Whether given or inferred, choosing the best representation affects subsequent tasks and questions on the network. This work focuses on model selection...
Analysis of spatio-temporal data is a common research topic that requires the interpolations of unknown locations and the predictions of feature observations by utilizing information about where and when the data were observed. One of the most difficult problems is to make predictions of unknown locations. Tensor factorization methods are popular in this field because of their capability of handling...
Discovering and analyzing networks from non-network data is a task with applications in fields as diverse as neuroscience, genomics, energy, economics, and more. In these domains, networks are often constructed out of multiple time series by computing measures of association or similarity between pairs of series. The nodes in a discovered graph correspond to time series, which are linked via edges...
Precipitation prediction, such as short-term rainfall prediction, is a very important problem in the field of meteorological service. In practice, most of recent studies focus on leveraging radar data or satellite images to make predictions. However, there is another scenario where a set of weather features are collected by various sensors at multiple observation sites. The observations of a site...
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...
In clinical diagnosis, it is crucial and difficult to make a distinction among mental illnesses. As voice is one way of expression, it has been proved that it is a good indicator to separate mental illnesses from healthy people. Though many studies have used acoustic features to identify depression, few of them explored how to identify comorbidities from depressed people. We utilized a secondary audio...
In this article, we propose a data analytics development to detect unusual patterns of flights from a vast amounts of FDR (flight data recorder) data for supporting airline maintenance operations. A fundamental rationale behind this development is that if there are potential issues on mechanical parts of an aircraft during a flight, evidences for these issues are most likely included in the FDR data...
Short term prediction of energy consumption of residential houses is of increasing interest as self sustainable off grid energy solutions as well as distributed generation and energy exchange grids are developed. In areas with non-temperate seasons, weather conditions induce noticeable changes in consumption patterns depending on the tenant's air conditioning settings and the house's exposure to the...
the image is vulnerable to human attack during transmission. Image information not only involves personal privacy, but even relates to national security. Therefore, more and more countries all over the world pay more attention to picture security. Here, a single chaotic encryption method cannot meet the current demand. A new image encryption scheme is designed by combining logistic mapping, sine mapping...
Considering the increase in life expectancy in several countries, including Brazil, and that the average age of digital game players is 31 years, studies and the development of games for adults and senior people as their target audience become necessary. The objective of this paper is to provide the analysis of the impact of the use of Augmented Reality in games with adult users above 45 years. The...
For the evaluation of station importance in transportation system of railway, firstly the weighted railway passenger bipartite network model was established according to the idea of the transport capacity between the different traffic units and connection relation between the traffic units and their stations. Based on previously mentioned network model, a resource allocation algorithm was proposed...
Aerosol optical depth (AOD), one of the key factors affecting the atmosphere visibility, has great influence on the prediction of radiation intensity and photovoltaic power generation. Considering the problem that AOD is difficult to obtain real-timely and conveniently with high accuracy, in this paper, PM2.5 concentration, PM10 concentration and temperature, wind speed grade and relative humidity...
Context: Software development process is executed by professionals with different roles, who are responsible for distinct activities. These roles can have different degrees of autonomy depending on some factors, such as the adopted process and hierarchy. Goal: This study aims to identify what factors can impact autonomy and also investigate how autonomy is given to an employee based on two main factors:...
In the Chinese classical gardens, the pavilion is one of the most representative classical garden architectures, in order to reflect the aesthetic values of city landscape pavilion, this paper uses the main city in China's classical Pavilion as the research object and selects 90 representative samples for quantitative evaluation of the classical Pavilion by SBE method. By using correlation analysis,...
Embedded computer vision applications have been incorporated in industrial automation, improving quality and safety of processes. Such systems involve pattern classifiers for specific functions that, many times, demand high memory footprint and processing time. This work suggests a strategy to choose GLCM (Gray Level Co-occurrence Matrix) features for an SVM classifier that can reduce computer resources...
The Ellipsoidal Intersection algorithm aims at fusing two state estimates under a partial knowledge of the cross-correlation of the estimation errors. However, it has been observed that it does not provide an upper bound of all admissible fused mean square error matrices. This paper provides a mathematical tool for an analysis of the fusion under the considered partial knowledge of correlations. The...
Compressive sensing originates in the field of signal processing and has recently become a topic of energy-efficient data gathering in wireless sensor networks. In this paper, we introduce a distributed compressive sensing approach, which utilizes spatial correlation among sensor nodes to group them into coalitions. The coalition formation method is represented by a block diagonal measurement matrix...
The value of a software product diminishes due to emerging new requirements and gradual changes in system usage patterns over its lifespan, including other direct or indirect impacts from the surrounding environment. Often new requirements or changes cannot be addressed instantly; therefore, the system becomes less effective with incompatible or unused features, gradually degrading the overall value...
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...
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