• International Journal of Computer Science & Network Security
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• v.22 no.9
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• pp.1-6
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• 2022

Teaching and learning are one of the major issues during this pandemic (COVID-19). Since the pandemic started, there are many changes in teaching and learning styles as everything related to studies started online. Game-Based Learning has got remarkable importance in the educational system and pedagogy as an effective way of increasing student inspiration and engagement. In this field, most of the work has been carried out in digital games. This research uses an Animated Game-Based Learning design in enhancing student engagement and perception of learning. In teaching Computer Science (CS) concepts in higher education, to enhance the pedagogy activities in CS concepts, more specifically the concepts of "Data Structures (DS)" i.e., Array, Stack, and Queue concepts are focused. This study aims to observe the difference in students' learning with the use of different learning methods i.e., the traditional learning (TL) method and the Animated Game-Based Learning (AGBL) Method. The experimental results show that learning DS concepts has been improved by the AGBL method as compared to the TL method.

• Journal of the Korea Society of Computer and Information
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• v.13 no.2
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• pp.67-78
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• 2008

The purpose of this paper is to discuss the design and implementation of a WCBT(Web and Computer based Test). The WCBT combines the strengths of both a WBT(Web-based test) and a CBT(Computer-based test) on the basis of efficiency and stability. The current assessment system, considered an important management tool in the construction and operation of a total management system for the national technical qualification, has some unstable elements with regard to system load and stability. The proposed system's technological aspects have been tested through a basic simulation pilot program. The pilot program will be expanded to include the local Chamber of Commerce and Industry because the stability of the system was proved through its application to the real-time national technical examination of KCCI (Korea Chamber of Commerce and Industry). The WCBT system has shown great efficiency in terms of system load, and has solved frequent communication problems which have occurred through the use of foreign qualifying examinations. The server and client systems of the WCBT have been given good evaluations with regard to the convenience of their use and the management system for operators and supervisors.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.4 no.4
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• pp.595-617
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• 2010

This paper proposes a novel of a personalized Computer Assisted Language Learning (CALL) system based on learner's cognitive abilities related to foreign language proficiency. In this CALL system, a strategy of retrieval learning, a method of learning memory cycle, and a method of repeated learning are applied for effective vocabulary memorization. The system is designed to offer personalized learning based on cognitive abilities related to the human language process. For this, the proposed CALL system has a cognitive diagnosis module which can measure five types of cognitive abilities. The results of this diagnosis are used to create dynamic learning scenarios for personalized learning and to evaluate user performance in the learning. This system is also designed in order to have users be able to create learning word lists and to share them simply with various functions based on open APIs. Additionally, through experiments, it has shown that this system helps students to learn English vocabulary effectively and enhances their foreign language skills.

• Journal of Information Processing Systems
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• v.15 no.6
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• pp.1335-1349
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• 2019

Crowdsensing technologies can improve the efficiency of smart parking system in comparison with present sensor based smart parking system because of low install price and no restriction caused by sensor installation. A lot of sensing data is necessary to predict parking lot saturation in real-time. However in real world, it is hard to reach the required number of sensing data. In this paper, we model a saturation predication combining a time-based prediction model and a sensing data-based prediction model. The time-based model predicts saturation in aspects of parking lot location and time. The sensing data-based model predicts the degree of saturation of the parking lot with high accuracy based on the degree of saturation predicted from the first model, the saturation information in the sensing data, and the number of parking spaces in the sensing data. We perform prediction model learning with real sensing data gathered from a specific parking lot. We also evaluate the performance of the predictive model and show its efficiency and feasibility.

• Proceedings of the Korean Information Science Society Conference
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• 2002.10d
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• pp.232-234
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• 2002

EEG-based brain computer interface (BCI) provides a new communication channel between human brain and computer. The classification of EEG data is an important task in EEG-based BCI. In this paper we present methods which jointly employ principal component analysis (PCA) and linear dynamical system (LDS) modeling for the task of EEG classification. Experimental study for the classification of EEG data during imagination of a left or right hand movement confirms the validity of our proposed methods.

• Journal of the Korea Society for Simulation
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• v.8 no.1
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• pp.35-49
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• 1999

The CC-NUMA based, distributed shared memory is an emerging architecture for multiprocessor computer systems because of its scalability and easy of programming. In this paper, we analyzed performance of a ring-based, CC-NUMA multiprocessor computer system using a commercial workload targeted for popular OLTP applications. Based on the traces collected from real machines, the characteristics of the commercial workload could be obtained. The simulation results showed that the bottleneck on the ring could be effectively removed by using a dual ring structure. We believe our simulation methodology and results will help us to design better multiprocessor computer systems for commercial application domains.

• Proceedings of the Korean Society of Computer Information Conference
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• 2019.07a
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• pp.389-390
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• 2019

Tensor decomposition, proven to be an efficient data processing method, can be used to provide data-driven services. we propose a novel datadriven mutation strategy for parent individuals selection, namely tensor-based DE with parapatric and cross-generation(TPCDE).

• Journal of Educational Research in Mathematics
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• v.11 no.1
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• pp.89-102
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• 2001

Computer has been regarded as an alternative that could overcome the difficulties in the teaching and learning of mathematics. But the didactical problems of the computer-based environment for mathematics education could give us new obstacles. In this paper, first of all, we examined the application of the learning theories of mathematics to the computer environment. If the feedbacks of the computer are too immediate, students would have less opportunity to reflect on their thinking and focus their attention on the visual aspects, which leads to the simple abstraction rather than the reflective abstraction. We also examined some other Problems related to cognitive obstacle to learn the concepts of geometric figure and the geometric knowledge. Based on the analysis on the problems related to the computer-based environment of mathematics teaching and learning, we tried to find out the direction to use computer more adequately in teaching and learning geometry.

• Journal of the Korea Computer Graphics Society
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• v.6 no.4
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• pp.15-22
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• 2000

One of the main research trends in image based modeling and rendering is how to implement plenoptic function. For this purpose, this paper proposes a novel approach based on a set of randomly placed panoramas. The proposed approach, first of all, adopts a simple computer vision technique to approximate omni-directional depth information of the surrounding scene, and then corrects/interpolates panorama images to generate an output image at a vantage viewpoint. Implementation results show that the proposed approach achieves smooth navigation at an interactive rate.

• Proceedings of the Korean Institute of Interior Design Conference
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• 2008.05a
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• pp.251-257
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• 2008

Among the mainstream of this society has quickly adopted computer technology as part of their daily life, the ever growing group of elderly people, which will increase from 7% of the population in 2000 to being 14% just 18 years later, has been being exposed to computer using environment more than ever before. According to the survey of Korean government in 2005, the number of the elderly using computer has been rising actually, so web-based survey to identify housing needs of the elderly seems to have lots of possibilities as a useful tool for them. This study aims at comparing web-based survey tool with paper-based one, developed to identify the elderly needs on digital home planning. Experimental method and in-depth interview were employed. The participants were divided into 2 groups, web-based and paper-based survey group. Each group was controlled over by age (average 60 years old), gender and computer skill. As a results, web-based survy tool was revealed as effective to clearer understanding and causing more interests and more available, but less easy to handle than paper-based survey one. Through the in-depth interview, web-based survey tool was identified as a more effective method to figure out the needs of the elderly who are familiar with computer.