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Reform of teaching content, teaching methods and evaluation of examination system is an urgent issue of current teaching reform in higher education. The article discusses how to reform and optimize the teaching methods of Python language programming course based on visualization; students can change the learning method under the guidance of teachers, promote selfexploration, and form a proactive and...
Mastery of a shot technique is one of the important skills to be developed by novice badminton players. A shot technique includes the application of effort and swing of the arm. It is desirable for a novice badminton trainee to visualize the above parameters immediately after playing a shot. There has been an inadequate utilization of wearable technology for visualizing of these aspects. Myo armband,...
This paper aims to provide a new method of visualizing high-dimensional data classification by employing principal component analysis (PCA) and support vector machine (SVM). In this method, PCA is adopted to reduce the dimension of high-dimensional data, and then SVM is used for the data classification process. At last, the classified result is projected to two-dimension mapping. The method can visualize...
Background: Code smells have long been catalogued with corresponding mitigating solutions called refactoring operations. However, while the latter are supported in several IDEs, code smells detection scaffolding still has many limitations. Another aspect deserving attention is code smells visualization, to increase software quality awareness, namely in large projects, where maintainability is often...
Analyze the characteristic of three-dimensional scene visualization and regulation of scene change in flight simulation system, which is the basis of implementation of terrain reconstruction. Give the related mathematics model of terrain visualization. In order to resolve the problem that three-dimensional scene could not be reconstructed fast because of large-scale terrain data, present a procedure...
To understand wave propagation phenomena complex mathematical and physical theory is needed. Therefore, many undergraduate students find it very difficult to deal with this area of research. In the present paper an interactive toolbox is proposed which can help students to gain profounder knowledge and understanding of wave propagation effects.
In image classification tasks, the image is rarely represented as only a collection of raw pixels. Myriad alternative representations, from Gaussian kernels to bags-of-words to layers of a convolutional neural network, have been proposed both to decrease the dimensionality of the task and, more importantly, to move into a space which better facilitates classification. This work explores several methods...
Over the last decades, visual representations of data has been a commonly used medium to bolster human cognition in performance evaluation of professional athletes. However, the current approaches to these visualizations still build upon the paper based principles of initial designs with solid backgrounds. Due to this situation, same visualizations usually fail to provide explicit information about...
Visualization of experimental data and results of numerical simulations belongs to most basic skills that need to be mastered by students at undergraduate, graduate and postgraduate levels. When faced with many visualization techniques and available tools, deep understanding of the fundamental concepts, such as visualization pipeline, is the necessary foundation for using data visualization effectively...
Data-based fault diagnosis technology applied in chemical industry process has attracted great attention, in which the effective methods for visualizing the process variation are still challenging. The self-organizing map (SOM) is an unsupervised learning algorithm of neural network, which is presented to solve the visualization monitoring and fault diagnosis problem. The high-dimensional input space...
This paper presents a detailed survey on existing Business Intelligence (BI) tools for developing a dashboard in a typical academic setup. As a survey, few most popular BI tools like SpagoBI, Tableau, Pentaho, Qliksense, Jaspersoft and Jedox are considered based on the ease of use, support in terms of training and minimal initial cost. At the end, a sample dashboard has been developed using one of...
In many areas of science, scientists need to find distinct common characterizations of the same objects and, vice versa, identify sets of objects that admit multiple shared descriptions. For example, a biologist might want to find a set of bioclimatic conditions and a set of species, such that this bioclimatic profile adequately characterizes the areas inhabited by these fauna. In data analysis, the...
The paper contributes to the problem solving in semantic browsing and analysis of scientific articles. With reference to presented visual interface, four - the most popular methods of mapping including own approach - MDS with spherical topology, have been compared. For a comparison quantitative measures were applied which allowed to select the most appropriate mapping way with an accurate reflection...
The meaningful representation and exploration of big data constitutes a challenge for many scientific fields. In recent years, auditory displays have been effectively employed to address this problem. The coupling of sonification with visualization techniques in multimodal displays can lead to the implementation of powerful tools for the understanding of complex datasets. In this study, we applied...
Online technical forums are valuable sources for mining useful software engineering information. LDA (Latent Dirichlet Allocation) is an unsupervised machine learning method which can be used for extracting underlying topics out of such large forums. However, the main output of LDA forum learning are usually huge matrices that contain millions of numbers, which is impossible for researchers to directly...
This paper presents a visualization approach to accessing and exploring the knowledge obtained from patient cases created by general practitioners in their medical practice during postgraduate practical training. Our application MediMatrix visualizes this knowledge base by displaying the patient cases in a matrix-based grid. It addresses domain specific challenges (broad spectrum of medical topics,...
This study proposes a visual approach for classification of multivariate data based on the enhanced separation feature of a visual technique, called Hypothesis-Oriented Verification and Validation by Visualization (HOV3). In this approach, the user first builds up a visual classifier from a training dataset based on its data projection plotted by HOV3 with a statistical measurement of the training...
Visualized information is an useful technique that can encode large amounts of complex interrelated data, being at the same time easily quantified, manipulated, and processed by a human user. This paper presents a novel visual intrusion detection classification model based on projection pursuit, which searches for the optimal projection direction by maximizing a projection index, projects network...
In recent years diverse quality measures to support the exploration of high-dimensional data sets have been proposed. Such measures can be very useful to rank and select information-bearing projections of very high dimensional data, when the visual exploration of all possible projections becomes unfeasible. But even though a ranking of the low dimensional projections may support the user in the visual...
Wind power is an important part of a sustainable and smart energy grid. Wind energy production datasets from hundreds of wind farms and thousands of windmills are collected, and have to be analyzed and understood. As wind is a volatile energy source, state observation has an important part to play for grid management, fault analysis and planning strategies of grid operators. We demonstrate how two...
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