• International Journal of Computer Science & Network Security
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• v.21 no.8
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• pp.35-42
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• 2021

In the current context of digitalization of education, the use of modern methods and techniques of data analysis and processing in order to improve students' school results has a very important role. In our paper, we aimed to perform a comparative study of the classification performances of AdaBoost, SVM, Naive Bayes, Neural Network and kNN algorithms to classify the results obtained at the Baccalaureate by students from a college in Suceava, during 2012-2019. To evaluate the results we used the metrics: AUC, CA, F₁, Precision and Recall. The AdaBoost algorithm achieves incredible performance for classifying the results into two categories: promoted / rejected. Next in terms of performance is Naive Bayes with a score of 0.999 for the AUC metric. The Neural Network and kNN algorithms obtain scores of 0.998 and 0.996 for AUC, respectively. SVM shows poorer performance with the score 0.987 for AUC. With the help of the HeatMap and DataTable visualization tools we identified possible correlations between classification results and some characteristics of data.

• Journal of the Korean Society for Aeronautical & Space Sciences
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• v.32 no.10
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• pp.38-45
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• 2004

In this paper, a parallel visualization algorithm is proposed for efficient visualization of the massive data generated from large-scale parallel finite element analysis through investigating the characteristics of parallel rendering methods. The proposed parallel visualization algorithm is designed to be highly compatible with the characteristics of domain-wise computation in parallel finite element analysis by using the sort-last-sparse approach. In the proposed algorithm, the binary tree communication pattern is utilized to reduce the network communication time in image composition routine. Several benchmarking tests are carried out by using the developed in-house software, and the performance of the proposed algorithm is investigated.

• The Journal of Korean Association of Computer Education
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• v.18 no.4
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• pp.63-70
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• 2015

Program source code is a set of complex syntactic information which are expressed in text forms, and contains complex logical structures. Structural and logical complexity inside source code become barriers in applying visualization techniques shown in traditional big-data approaches when the volume of source code become over ten-thousand lines of code. This paper suggests a procedure for making visualization of structural characteristics in source code. For this purpose, this paper defines internal data structures as well as inter-procedural relationships among functions. The paper also suggests a means of outlining the structural characteristics of source code by visualizing the source codes with network forms The result of the research work can be used as a means of controling and understanding the massive volume of source code.

• The Journal of the Korea Contents Association
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• v.11 no.5
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• pp.50-56
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• 2011

This paper proposes 3D visualization method of compound knowledge which will be able to identify and search easily compound knowledge objects based the multidimensional relationship. For this, we structurized a compound knowledge with link and node which become the semantic network. and we suggested 3D visualization method using SOM. Also, to arrange compound knowledge from 3D space and to provide the chance of realistic and intuitional information retrieval to the user, we proposed compound knowledge 3D clustering methods using object similarity. Compound knowledge 3D visualization and clustering using SOM will be the optimum method to appear context of compound knowledge and connectivity in space-time.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.27 no.1
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• pp.147-162
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• 2017

With the advent of various services and devices in the change of IT environment, increasing the complexity of the data, and increasing scale of IT, Many organizations are experiencing the difficulty of analyzing and processing with a large amounts of data for security situations awareness. Therefore, propose the enhancement of security situational awareness through visualization in order to solve the problems of slow response and security situational awareness in organizational risk management. In this paper, we selected the evaluation factors and alternatives for effective visualization by considering user type, situational awareness step, and information visualization attributes through various studies on visualization. And established AHP layer model. Based on this, by using the AHP method for solving the problem of multi-criteria decision making, by calculating the factors for effectively visualizing and the importance of alternative by factor, try to propose a visualization method that can improve the effectiveness of the security situational awareness according to the purpose of visualization and the type of user.

• Asia-pacific Journal of Multimedia Services Convergent with Art, Humanities, and Sociology
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• v.6 no.12
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• pp.533-540
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• 2016

Information Visualization is an information technology to visually represent the data and information by utilizing various tools. Visual information can increase the user's intuitiveness and it can be an effective way that can observe and comprehend the specific information in a short time. Information Visualization, as a research method on Humanities, in the high interest of researchers of Humanities and Area studies, is recently used for collecting base data and analyzing information. As an way to use Information Visualization, various forms of Information Visualization like Electronic Cultural Atlas, Network and Multimedia are actively discussed and studied today. In this paper, Information Visualization will be discussed by utilizing D3, a web-based technology for dynamic visualization. In detail, relationship between the Abbasids of Islam can be visualized by using nodes and connection lines and, this relationship between objects will be analyzed efficiently. Researchers related in this field can use this analyzed information for basis data in their researches.

• Korean Journal of Computational Design and Engineering
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• v.9 no.3
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• pp.212-219
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• 2004

This paper presents the visualization method of the KAIST interactive bicycle simulator. The simulator consists of two bicycles of 6 DOF and 4 DOF platforms, force feedback handlebars and pedal resistance systems to generate motion feelings; a real-time visual simulator, a HMD and a beam projection system; and a 3D sound system. The system has an integrating control network with the server-client network structure for multiple simulators. The visual simulator generates dynamic images in real-time while communicating with other modules of the simulator. The operator of the simulator can have realistic visual experience of riding on a velodrome or through the KAIST campus, while being able to watch the other bicycle with an avatar.

• 한국HCI학회:학술대회논문집
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• 2007.02b
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• pp.432-438
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• 2007

이 연구는 정보 간의 관계에서 도출되는 특징을 적합하게 보여줄 수 있는 시각화를 위한 선행연구이다. 정보의 관계에 주목하는 이유는 관계 구조를 통해 정보의 성격과 특징을 파악할 수 있기 때문이다. 정보의 관계는 사회연결망 분석을 통해서 파악할 수 있다. 정보를 구성하는 개체와 개체 사이의 관계는 다양한 요소를 지니고 있으며, 연결망의 관계 분석 지표를 통해 관계의 성격과 특징을 도출해 낼 수 있다. 이 연구에서는 사회연결망에서 관계의 성격을 도출하는데 중요한 지표로 다뤄지는 영향력을 연구범위로 설정하고, 연결망 내의 관계의 요인과 영향력의 지표를 분류하고 연결한다. 이를 통해 사회연결망에서 영향력을 나타내는 관계의 요소를 중심으로 관계의 시각화 과정에 있어 적합한 시각화 프로세스를 온톨로지 개념을 사용하는 시멘틱 그래프에 적용해 보았다. 영향력의 각 관계 요소는 공통적인 개념과 성격, 측정 요소를 통하여 노드와 링크의 네트워크 형태의 그래프로 형성되었다. 영향력 시멘틱 그래프는 사회연결망의 영향력 요소를 이해하고, 분석하는데 유용하게 사용될 수 있음을 확인할 수 있다. 또한 시멘틱 그래프의 적용 범위를 연결망 시각화 전반을 확장하여, 합리적이고 효율적인 시각화 프로세스의 설정이 가능함을 알 수 있다.

• Journal of Advanced Marine Engineering and Technology
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• v.27 no.3
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• pp.395-404
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• 2003

Quantitative data of the temperature and velocity were obtained simultaneously by using liquid crystal tracer. PIV(Particle Image Velocimety) based on a grey-level cross-correlation method was used for visualizing and analysis of the flow field. The temperature gradient was obtained by applying the color-image processing to a visualized image, and a neural-network a1gorithm was applied to the color-to-temperature calibration. This simultaneous measurement was applied to the Rayleigh-Bernard convection. This paper describes the method, and presents the quantitative visualization of Rayleigh-Bernard convection and the effect of aspect ratio and viscosity. Also the experimental results were compared with the numerical results.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2014.05a
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• pp.637-638
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• 2014

This paper proposes a new visualization method based on Vitualization technique which uses internal relationship of user correlation and external information of social network to visualize user relationship hierarchy. The proposed method use hadoop on virtual machine of OpenStack for distribution and parallel processing which the result of calculation visualizes hierarchy graph to analyze link nodes of Social Network Services for users.