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Molecularly targeted therapies significantly contribute to the efforts of personalized approaches for cancer diagnosis and chemotherapeutic treatment. One of a critical step to identify target molecules is to determine the most representative features for different patient's sub-groups. Breast cancer, one of the most heterogeneous cancer has five main subtypes, so accurately identify gene signatures...
Factories' virtual assembly, visualization, and intelligence are studied for the purpose of realizing smart and visualized production, reforming technical mode, enhancing production efficiency, and making factory production easy to be managed and designed and under real-time monitoring. Intelligence and visualization are the trend of factory reform in the future.
Cyber Defense Exercises have received much attention in recent years, and are increasingly becoming the cornerstone for ensuring readiness in this new domain. Crossed Swords is an exercise directed at training Red Team members for responsive cyber defense. However, prior iterations have revealed the need for automated and transparent real-time feedback systems to help participants improve their techniques...
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,...
We present in this paper a new approach of supervised self organizing map (SOM). We added a supervised perceptron layer to the classical SOM approach. This combination allows the classification of new patterns by taking into account all the map prototypes without changing the SOM organization. We also propose to associate two reject options to our supervised SOM. This allows to improve the results...
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...
This paper presents the results of language clustering in the i-vectors space, a method to determine in an unsupervised manner how many languages are in a data set and which recordings contain the same language. The most dense i-vectors clusters are found using the DBSCAN algorithm in a low dimensional space obtained by the t-SNE method. Quality of clustering for spherical k-means and the proposed...
The paper explores the main directions in which the augmented reality and the Web can change the approach in power engineering and significantly improving it. These innovations facilitate, in a user-friendly way, the availability of real-time data, fast processed information, assistance and guidance at any time and in any place along the entire energy chain. A step-by-step implementation of AR applications...
Immersive visualization (IV) fosters the creation of mental images of a data set, a scene, a procedure, etc. We devise an initial version of a design space for categorizing workflows that take advantage of IV. From this categorization, specific requirements for an actual, seamless IV-integration can be derived. We validate the design space with three workflows investigated in our research projects.
Recent advancements in deep Convolutional Neural Networks (CNNs) have led to impressive progress in computer vision, especially in image classification. CNNs involve numerous hyperparameters that identify the network's structure such as depth of the network, kernel size, number of feature maps, stride, pooling size and pooling regions etc. These hyperparameters have a significant impact on the classification...
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...
A novel financial time-series analysis method based on deep learning technique is proposed in this paper. In recent years, the explosive growth of deep learning researches have led to several successful applications in various artificial intelligence and multimedia fields, such as visual recognition, robot vision, and natural language processing. In this paper, we focus on the time-series data processing...
The best way to prepare for an interview is to review the different types of possible interview questions you will be asked during an interview and practice responding to questions. An interview coaching system tries to simulate an interviewer to provide mock interview practice simulation sessions for the users. The traditional interview coaching systems provide some feedbacks, including facial preference,...
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.
The availability of low-cost sensors and environmental monitoring technologies is growing rapidly. While researchers are making use of these technologies and validating their results, there is also enormous potential for use in education and outreach. Through the Air Quality Inquiry Project (AQIQ), we are bringing next-generation air quality monitors into the K-12 classroom and developing a curriculum...
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...
The effect of using autoencoders for dimensionality reduction of a medical data set is investigated. A stack of two autoencoders has been trained for popular benchmark medical data set for dermatological disease diagnosis. The improvement of the presented approach has been visualized by the Principal Component Analysis method. Results shows that the use of a autoencoders significantly improves the...
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...
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