• The Journal of the Korea Contents Association
• /
• v.8 no.6
• /
• pp.1-7
• /
• 2008

The paper is to solve the problem of existing sound system, which has difficulties of system organization and the increase of additional install cost and unfriendly interior. To solve the existing system, we drew the new sound system based on PLC and studied it. A transmitter and a receiver were designed using the PLC chip INT5500CS. Sound system was configured with a CD player that sound signals are sent from the transmitter and a speaker connected to the receiver. For analysis of characteristics of this system, a USBPre external sound card and Smaart Live 5 which is a PC-based sound measuring program were added. As a result of our experiment, the measured signal level is $2{\sim}3$[dB] lower than reference signal, latency is 16.69[ms] and the specific character of coherency is bad in high frequency band. Otherwise, this system transmits and receives signals over 90[%] in good condition as a result of measuring pink noise, frequency(1kHz), and phase, magnitude. In view of the result so far achieved, the system designed our team has excellent performance, it resolves defect of existing audio signal transmition system.

• Journal of Broadcast Engineering
• /
• v.19 no.4
• /
• pp.468-477
• /
• 2014

This paper proposes a novel perceptual quality-based (PQ-based) video coding method with foveated contrast sensitivity (FCS). Conventional methods on PQ-based video coding with FCS achieve minimum loss on perceptual quality of compressed video by exploiting the property of human visual system (HVS), that is, its sensitivity differs by the spatial frequency of visual stimuli. On the other hand, PQ-based video coding with foveated masking (FM) exploits the difference of the sensitivity of the HVS between the central vision and the peripheral vision. In this study, a novel FCS model is proposed which considers both the conventional DCT-based JND model and the FM model. Psychological study is conducted to construct the proposed FCS model, and the proposed model is applied to PQ-based video coding algorithm implemented on HM10.0 reference software. Experimental results show that the proposed method decreases bitrate by the average of 10% without loss on the perceptual quality.

• Journal of Convergence Society for SMB
• /
• v.6 no.3
• /
• pp.43-48
• /
• 2016

Current address-based Internet has started to expose the number of limitations, with the growth of the Internet. Most of the problems have been solved by adding new features to the Internet or some modification of existing features but some problems can not be solved because it is believed that the structural limitations of the Internet. Overcoming to fundamentally the limitations of the Internet, ID-based Future Internet research is under active research going on in the competitive atmosphere of the United States and Europe. However, most studies have been promoted in a specific field is concentrated in a limited area. For the future Internet, there is a need to derive the requirements to overcome the limitation and accommodate the features and advantages of the existing studies. This paper compares and analyzes the characteristics and advantages and disadvantages for the ID-based Future Internet Research, and describes the requirements to have the ID-based Future Internet.

• Journal of Convergence for Information Technology
• /
• v.10 no.1
• /
• pp.195-202
• /
• 2020

This study is to investigate the effect of lower extremity strength exercise using biofeedback system on community-based elderly. Ten community-based elderly were exercised using the biofeedback system (with functional electrical stimulation) three times a week for six weeks. Data analysis was performed using Wilcoxon signed rank test. Physical function improved significantly, but there was no significant difference in muscle strength and muscle mass. Although elderly people were able to confirm that community-based ICT home biofeedback training could be possible and could lead to improvements in the lower extremity function, further research is needed to demonstrate a clearer effect by expanding the target population, distinguishing the sexes, and providing a personalized training method.

• Journal of Convergence for Information Technology
• /
• v.11 no.10
• /
• pp.1-9
• /
• 2021

Although interest in the metaverse increases due to the pandemic, the understanding of the metaverse interest factor, which is an essential element for the sustainability of any metaverse platform, is lacking. This study aims to reveal the interest factors of metaverse services by analyzing user community discourse. We collected user community discourses from and applied LDA to extract topics. Further, we categorize the factors into growth and verifiable indicators, various levels of interaction, self-expression and freedom, and connection with the real world. The content planning direction of the game-based metaverse of utilization was derived. This study is meaningful in that it analyzes the interest factors of the metaverse based on the empirical evidence of user discourse data.

• Journal of Convergence for Information Technology
• /
• v.9 no.2
• /
• pp.49-54
• /
• 2019

University education emphasizes the development of convergent as well as computational thinking, many universities provide software education to improve their problem-solving ability. In this study, we use Python programming based on problem-solving learning, and analyze the correlation between problem-solving learning satisfaction and academic achievement. A questionnaire survey was conducted among 143 students, we tried to analyze the relationship of problem-solving learning with actual academic performance using correlation and multiple regression analysis. The results indicate a relationship between satisfaction and academic achievement, and that it affects students' academic achievement. The ability to identify various problem situations and solve problems using computational thinking will become increasingly important, it is desirable that the universities provide software education based on problem-solving learning.

• Journal of Convergence for Information Technology
• /
• v.9 no.8
• /
• pp.35-44
• /
• 2019

The purpose of this study is to find out quantitative vulnerability assessment about COTS(Commercial Off The Shelf) O/S based I&C System. This paper analyzed vulnerability's lifecycle and it's impact. this paper is to develop a quantitative assessment of overall cyber security risks and vulnerabilities I&C System by studying the vulnerability analysis and prediction method. The probabilistic vulnerability assessment method proposed in this study suggests a modeling method that enables setting priority of patches, threshold setting of vulnerable size, and attack path in a commercial OS-based measurement control system that is difficult to patch an immediate vulnerability.

• Journal of Convergence for Information Technology
• /
• v.11 no.2
• /
• pp.57-63
• /
• 2021

This study examined the effects of scenario-based education for patients with difficulty urination on nelaton knowledge, nelaton confidence, and nelaton catheterization skill ability of nursing college students. The data for this study were collected from May to June 2019, and were conducted for the third grade nursing students located in J city. A non-equivalent control group pretest-posttest design was used in 75 junior nursing college students subjects who were assigned to the experimental group 37 and the control group 38. The collected data was analyzed through the ��2-test, independent t-test and paired-test. There were significant differences in nelaton confidence(t=4.60, p<.001), nelaton catheterization skill ability(t=3.46, p=.001). But scenario-based education was found to be insignificant in the nelaton knowledge of nursing students. Difficulty urination scenario-based education can be used as an effective educational intervention to improve nelaton confidence and nelaton catheterization skill ability. However, in nelaton knowledge, it is necessary to verify the effectiveness of education through additional research.

• Journal of Convergence for Information Technology
• /
• v.11 no.1
• /
• pp.156-166
• /
• 2021

The purpose of this study is to find out the impact of classes using a game-based student response system on learning engagement. It is an experimental study that compares learning engagement in classes (experimental groups) and lecture-style classes (comparative groups) that utilize GSRS in nursing education. A total of 211 nursing students participated from October 2019 to December 2019. The differences in learning engagement between the two groups were analyzed as t-test and correlation analysis was conducted on related factors. There was a difference between the comparison group and the experimental group in overall learning engagement(p=.013) and emotional engagement(p=.002). This is meaningful in that it has verified the learning engagement effect of the GSRS for the first time in Korea.

• Journal of Convergence for Information Technology
• /
• v.12 no.2
• /
• pp.47-53
• /
• 2022

Recently, with the change of the intelligent security paradigm, study to apply various information generated from various information security systems to AI-based anomaly detection is increasing. Therefore, in this study, in order to convert log-like time series data into a vector, which is a numerical feature, the CBOW and Skip-gram inference methods of deep learning-based Word2Vec model and statistical method based on the coincidence frequency were used to transform the published ADFA system call data. In relation to this, an experiment was carried out through conversion into various embedding vectors considering the dimension of vector, the length of sequence, and the window size. In addition, the performance of the embedding methods used as well as the detection performance were compared and evaluated through GRU-based anomaly detection model using vectors generated by the embedding model as an input. Compared to the statistical model, it was confirmed that the Skip-gram maintains more stable performance without biasing a specific window size or sequence length, and is more effective in making each event of sequence data into an embedding vector.