• Journal of the Korea Society of Computer and Information
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• v.21 no.9
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• pp.139-147
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• 2016

In recent, android application developments have been done widely that intensify smart phone utilization. In this paper, we propose a curriculum that undergraduate students can improve their mobile programming abilities as well as integrate experiences of application development based on android. And also a series of practices to advance their sense of accomplishment are added by offering an opportunity to carry out a real project to use a variety of sensors embedded in smart phone during the course of study. The project is composed of a series of modules for implementing a trekking App that helpful to people who enjoy spending time in outdoors through their favorite activities such as trekking, cycling, and climbing with their own smart phones. Through practical curriculum operation and project implementation, we show that the proposed curriculum is appropriate to a mobile programming education that combine learning and practice.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2022.05a
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• pp.566-568
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• 2022

Metaverse is the most emerging technology due to the recent 4th industry and the non-face-to-face society of Corona 19. As one of the core technologies of Metaverse, VR·AR technology is being industrialized in various fields such as medical care, education, and service. Among them, education and training are the most important fields of application, and nuclear power plant operation also requires this technology. In this paper, we will look at the fields of application of VR·AR technology in existing industries and suggest a plan for use in nuclear power plant work.

• Journal of The Korean Association of Information Education
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• v.15 no.1
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• pp.147-154
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• 2011

In this Paper, we suggest the effective pre-correction algorithm on sensor values and the classification algorithm for gesture recognition that use values for each axis of the accelerometer to send data(a number or specific input data) to device. we know that creation of reliable preprocessed data in experimental results through the error rate of X-Axis and Y-Axis for pre-correction and post-correction. we can show high recognition rate through recognizer using the normalization and classification algorithm for the preprocessed data.

• The Transactions of the Korean Institute of Electrical Engineers P
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• v.64 no.4
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• pp.327-332
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• 2015

NCS are the contents such as knowledge, technology, and culture demanded for performing the duties in the industrial field systemized by a nation classified with industrial divisions and levels. It is an ability standardized in the national level necessary for performing duties of industrial field successfully. Now, the society structure, due to abrupt change and development, has to secure core ability demanded to human resources in common, irrespective of kinds and positions, and lays an emphasis on vocational basis ability to softly cope with the accelerating change of labor market. This dissertation, on the basis of NCS-based vocational education curriculum, focuses on information ability, computer use ability(information management ability), one of vocational core competency used for the duties related at the department of video & broadcasting to develop learning module. In addition, this dissertation researches learning results such as satisfaction and accomplishment over learning on the object of the students who took the education.

• Journal of the Institute of Electronics Engineers of Korea SC
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• v.39 no.1
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• pp.1-6
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• 2002

In this paper, we propose temperature inference system for indoor and outdoor temperature of the Air-Conditioner with limited sensors. The proposed system based on the network theory of biological immune system consists of indoor and outdoor temperature inference process. It is designed that on-line temperature inference is possible. This system is admirable for unlearned data as well as given input data by making efficient use of previous information.

• Proceedings of the Korean Society of Computer Information Conference
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• 2015.07a
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• pp.299-300
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• 2015

본 연구에서는 명지전문대학에서 시행되고 다양한 학습지원 프로그램을 프로그래밍 언어 수업에 적용하여 운영하였던 사례를 제시하고 학습자 의견 및 만족도를 조사하였다. 학습지원 프로그램의 참여는 자발적으로 이루졌으며, 분석 결과 전반적으로 학습자들은 학습지원 프로그램에 대해 만족하는 것으로 나타났고, 참여 학습자 그룹의 성적이 비참여 학습자 그룹보다 좋은 것으로 나타나 학습지원 프로그램이 학습에 도움이 됨을 알 수 있었다. 또한 참여 프로그램에 따라 학습자들의 참여 목적과 참여를 통해 얻은 좋은 점은 다른 것으로 나타났고 비참여 학습자들의 참여하지 않은 이유가 프로그램 운영 환경과 관련이 있는 것으로 나타나 학습지원 프로그램의 효과적인 활용을 위해서는 학습자의 학습 목적에 따라 참여 프로그램을 제안할 필요가 있음을 알 수 있었다.

• International Journal of Computer Science & Network Security
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• v.21 no.4
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• pp.80-83
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• 2021

The article analyzes and shows the rapid development information and telecommunication technologies, and their capabilities are becoming unprecedented for human development, effective solutions to many professional problems. The analysis of information and communication technologies of education used in higher educational institutions of Ukraine confirmed that for the effective use of special teaching methods, as well as software and technical teaching aids, it is necessary to have a trained teaching staff and students.

• Advances in nano research
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• v.12 no.3
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• pp.263-279
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• 2022

In this research, the physical education training quality was investigated using the entropy model to compute variance associated with a random value (a strong tool). The entropy and undefined estimation principles are used to extract the greatest entropy of information dependent on the index system. In the study of tennis motion tracking from a dynamic viewpoint, such stages are utilized to improve the perception of the players' achievement (Lv et al. 2020). Six female tennis players served on the right side (50 cm from the T point). The initial flat serve from T point was the movement under consideration, and the entropy was utilized to weigh all indications. As a result, a multi-index measurement vector is stabilized, followed by the confidence level to determine the structural plane establishment range. As a result, the use of the unascertained measuring technique of information entropy showed an excellent approach to assessing athlete performance more accurately than traditional ways, enabling coaches and athletes to enhance their movements successfully.

• Asia pacific journal of information systems
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• v.33 no.3
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• pp.624-651
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• 2023

The study makes several contributions to not only the adoption literature by examining the influence of Emotional Intelligence (EI) and Big-Five traits on adoption of Augmented Reality (AR) but also given its utility in both industry and research, it contributes to the interesting inter-disciplinary domain of psychology, information systems, and human behaviour. A quantitative based approach using a sample of 275 respondents was undertaken. It is found that emotional intelligence influence both perceived ease-of-use and perceived usefulness. They in turn influence intention to use. Another important observation is that personality traits (openness and agreeableness) have a significant moderating effect on the relation between attitude and intention to use AR. This research will help academicians and executives working on the adoption of AR in various sectors ranging from retail industry to the education sector. The originality of this study is that it explores the impact of EI on the acceptance of AR and helps in extending the literature in interdisciplinary research.

• Journal of information and communication convergence engineering
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• v.12 no.4
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• pp.263-270
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• 2014

Corner detection and feature extraction are essential aspects of computer vision problems such as object recognition and tracking. Feature detectors such as Scale Invariant Feature Transform (SIFT) yields high quality features but computationally intensive for use in real-time applications. The Features from Accelerated Segment Test (FAST) detector provides faster feature computation by extracting only corner information in recognising an object. In this paper we have analyzed the efficient object detection algorithms with respect to efficiency, quality and robustness by comparing characteristics of image detectors for corner detector and feature extractors. The simulated result shows that compared to conventional SIFT algorithm, the object recognition system based on the FAST corner detector yields increased speed and low performance degradation. The average time to find keypoints in SIFT method is about 0.116 seconds for extracting 2169 keypoints. Similarly the average time to find corner points was 0.651 seconds for detecting 1714 keypoints in FAST methods at threshold 30. Thus the FAST method detects corner points faster with better quality images for object recognition.