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pISSN : 1598-849X / eISSN : 2383-9945

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2023, Vol.28, No.3

  • 1.

    Research on the current state of practical applications and limitations of quantum computing technology

    Jaehyung Kim | 2023, 28(3) | pp.1~9 | number of Cited : 0
    Abstract PDF
    In this paper, we identify the factors that hinder the application of quantum computing technology to solve meaningful real-world problems, and suggest related research trends and directions. To this end, we summarize the basic knowledge of quantum mechanics from the perspective of computer science, which is necessary to understand the difficulties in applying quantum computing technology, and analyze the currently commercialized quantum computers and quantum programming layers from the literature. Through an analysis of the current status and utilization of cloud-based commercial quantum computing services, we identify four factors that currently hinder the practical application of quantum computing: high barriers to entry for quantum computer programming, constraints on noisy intermediate-scale quantum computers, a still-growing open source ecosystem, and difficulties in simulating realistic problem sizes, and suggest trends and directions for related research. In doing so, it is expected to contribute to laying the groundwork for practical applications of quantum computing technology.
  • 2.

    Design and Implementation of Indoor Positioning & Shortest Path Navigation System Using GPS and Beacons in Narrow Buildings

    Sang-Hyeon Park , Huhnkuk Lim | 2023, 28(3) | pp.11~16 | number of Cited : 0
    Abstract PDF
    As techniques for indoor positioning, fingerprinting, indoor positioning method using trilateration, and utilizing information obtained from equipments by Wi-Fi/Bluetooth, etc are common and representative methods to specify the user's indoor position. However, in these methods, an indoor space should be provided with enough space to install a large number of equipment (AP, Beacon). In this paper, we propose a technique that can express the user's location within a building by simultaneously using the GPS signal and the signal transmitted from the beacon in a building structure where the conventional method cannot be applied, such as a narrow building. A shortest path search system was designed and implemented by applying the Dijkstra Algorithm, one of the most representative and efficient shortest path search algorithms for shortest path search. The proposed technique can be considered as one of the methods for measuring the user's indoor location considering the structural characteristics of a building in the future.
  • 3.

    A Comparative Analysis of the Pre-Processing in the Kaggle Titanic Competition

    Tai-Sung Hur , Suyoung Bang | 2023, 28(3) | pp.17~24 | number of Cited : 0
    Abstract PDF
    Based on the problem of 'Tatanic – Machine Learning from Disaster', a representative competition of Kaggle that presents challenges related to data science and solves them, we want to see how data preprocessing and model construction affect prediction accuracy and score. We compare and analyze the features by selecting seven top-ranked solutions with high scores, except when using redundant models or ensemble techniques. It was confirmed that most of the pretreatment has unique and differentiated characteristics, and although the pretreatment process was almost the same, there were differences in scores depending on the type of model. The comparative analysis study in this paper is expected to help participants in the kaggle competition and data science beginners by understanding the characteristics and analysis flow of the preprocessing methods of the top score participants.
  • 4.

    Efficient CT Image Denoising Using Deformable Convolutional AutoEncoder Model

    Eon Seung Seong , Seong Hyun Han , Ji Hye Heo and 1 other persons | 2023, 28(3) | pp.25~33 | number of Cited : 0
    Abstract PDF
    Noise generated during the acquisition and transmission of CT images acts as a factor that degrades image quality. Therefore, noise removal to solve this problem is an important preprocessing process in image processing. In this paper, we remove noise by using a deformable convolutional autoencoder (DeCAE) model in which deformable convolution operation is applied instead of the existing convolution operation in the convolutional autoencoder (CAE) model of deep learning. Here, the deformable convolution operation can extract features of an image in a more flexible area than the conventional convolution operation. The proposed DeCAE model has the same encoder-decoder structure as the existing CAE model, but the encoder is composed of deformable convolutional layers and the decoder is composed of conventional convolutional layers for efficient noise removal. To evaluate the performance of the DeCAE model proposed in this paper, experiments were conducted on CT images corrupted by various noises, that is, Gaussian noise, impulse noise, and Poisson noise. As a result of the performance experiment, the DeCAE model has more qualitative and quantitative measures than the traditional filters, that is, the Mean filter, Median filter, Bilateral filter and NL-means method, as well as the existing CAE models, that is, MAE (Mean Absolute Error), PSNR (Peak Signal-to-Noise Ratio) and SSIM. (Structural Similarity Index Measure) showed excellent results.
  • 5.

    Development of a driver's emotion detection model using auto-encoder on driving behavior and psychological data

    Eun-Seo Jung , Seo-Hee Kim , Yun-Jung Hong and 2 other persons | 2023, 28(3) | pp.35~43 | number of Cited : 0
    Abstract PDF
    Emotion recognition while driving is an essential task to prevent accidents. Furthermore, in the era of autonomous driving, automobiles are the subject of mobility, requiring more emotional communication with drivers, and the emotion recognition market is gradually spreading. Accordingly, in this research plan, the driver's emotions are classified into seven categories using psychological and behavioral data, which are relatively easy to collect. The latent vectors extracted through the auto-encoder model were also used as features in this classification model, confirming that this affected performance improvement. Furthermore, it also confirmed that the performance was improved when using the framework presented in this paper compared to when the existing EEG data were included. Finally, 81% of the driver's emotion classification accuracy and 80% of F1-Score were achieved only through psychological, personal information, and behavioral data.
  • 6.

    A Study on the Design of KVMF 2.0 Protocol for Ensuring Backward/Forward Compatibility between Different KVMF Message Standard Versions

    Jeong-Min Lee , Won-Gi Lim , Won-Jun Cho and 2 other persons | 2023, 28(3) | pp.45~58 | number of Cited : 0
    Abstract PDF
    KVMF(Korean Variable Message Format) 1.0 protocol is the Army's standard tactical datalink protocol that defines standard messages and communication methods to enable data communication between various weapon systems through bitwise variable message processing. The protocol has been applied to a variety of Army weapon systems over the past decade and has contributed to upgrade the Army's operational capabilities by enabling the implementation of Network Centric Warfare (NCW), the core of modern warfare. Since the KVMF 1.0 protocol was applied, new weapon systems with new technologies have been introduced over time, and new weapon systems have new messages based on the characteristics of the weapon system. As a result, compatibility problems arose due to different message versions with existing weapon systems, and it was expected that these problems would continue to emerge in the future, considering the need for continuous message revisions. Therefore, it became necessary to solve this problem, so this paper proposed a KVMF 2.0 protocol design that guarantees compatibility between forward and backward versions. In this paper, we implemented the design as SW, and confirmed that the design worked successfully by test between forward and backward versions on test environment. Therefore, when the KVMF 2.0 protocol design is applied to a weapon system, we can expect that the weapon system can be compatible with the forward and backward versions working with the existing weapon systems as well as with the future weapon systems.
  • 7.

    A Study on the Private Key Backup and Restoration using Biometric Information in Blockchain Environment

    Seungjin Han | 2023, 28(3) | pp.59~66 | number of Cited : 0
    Abstract PDF
    As research on blockchain applications in various fields is actively increasing, management of private keys that prove users of blockchain has become important. If you lose your private key, you lose all your data. In order to solve this problem, previously, blockchain wallets, private key recovery using partial information, and private key recovery through distributed storage have been proposed. In this paper, we propose a safe private key backup and recovery method using Shamir's Secrete Sharing (SSS) scheme and biometric information, and evaluate its safety. In this paper, we propose a safe private key backup and recovery method using Shamir's Secrete Sharing (SSS) scheme and biometric information, and evaluate its safety against robustness during message exchange, replay attack, man-in-the-middle attack and forgery and tampering attack.
  • 8.

    Metaverse Realistic Media Digital Content Development Education Environment Improvement Research

    Kyoung-A Lee | 2023, 28(3) | pp.67~73 | number of Cited : 0
    Abstract PDF
    Under the influence of COVID-19, as a measure of social distancing for about two years and one month, non-face-to-face services using ICT element technology are expanding not only to the education sector but to all fields. In particular, as educational programs using the Metaverse platform spread to various fields, educators, and learners have more learning experiences using Edutech, but problems through non-face-to-face learning such as reduced immersion or concentration in education are raising In this paper, to overcome the problems raised through non-face-to-face learning and develop metaverse immersive media digital contents to improve the educational environment, we utilize VR (Virtual Reality) based on an immersive metaverse to provide education / Training contents and the educational environment was established. In this paper, we presented a system to increase immersion and concentration in educational contents in a virtual environment using HMD (Head Mounted Display) for learners who are put into military education/training. Immersion was further improved.
  • 9.

    An Analysis of Correlation Between Metacognition and Digital Library Searching Behavior

    Heesop Kim , Aluko Ademola Mayokun | 2023, 28(3) | pp.75~82 | number of Cited : 0
    Abstract PDF
    The main purpose of this study is to analyze the metacognition of digital library search behavior of college students and to provide a fundamental data for the designing a user-centered online information retrieval system to find more optimal search results. In order to achieve the purpose of this study, metacognition was classified into the five main categories, including schema-training, planning, monitoring, evaluation, and transfer, and a total of twenty subcategories were included. A total of 112 students participated in the online questionnaire. The collected data were analyzed using SPSS version 26, and it was found that there was a significant correlation between metacognition of college students and their digital library searching behavior. In particular, the digital library search experience was found to be the strongest factor to be considered as the most important variable in digital library design based on the aspect of user metacognition.
  • 10.

    A study on the Perception of Edible Insects and Edible Insect Foods of College Students Majoring in Culinary Arts

    Young-Sim Choi | 2023, 28(3) | pp.83~89 | number of Cited : 0
    Abstract PDF
    This study presents basic data that can be easily used in the field of cooking about edible insects which are future food and alternative food by investigating the perception of edible insects among culinary majors, who are potential consumers who can improve the utilization of edible insects. As a result, 79.0% of all subjects responded that they have heard of edible insects, and the methods of obtaining information on edible insects were 'friends, colleagues, family members, etc.' 76.8% had the experience of purchasing edible insects, and 71.9% of them purchased 'online' as the purchase method. The reason for purchasing edible insects was 'curiosity', and the purchase of edible insects in the form of 'food or food added' was the highest. In the future, 70.1% are willing to use edible insects, and in particular, the intention to participate in the 'development of new products using edible insects' was the highest. Therefore, in order to improve the utilization and consumption promotion of edible insects, which are emerging as future food resources, it is necessary to develop a multifaceted plan to improve the awareness of edible insects for university students majoring in cooking and to develop educational programs for developing various menus.
  • 11.

    The Learning Stress, Immersion and Satisfaction in FTF and NFTF Classes of Major Subjects in Junior College

    Gyeoung-Ran Moon | 2023, 28(3) | pp.91~100 | number of Cited : 0
    Abstract PDF
    This study is a case study comparing and examining the effects of non-face-to-face(NFTF) classes in the 2021-2 semester and face-to-face(FTF) classes in the 2022-2 semester on learning immersion, learning stress, and learning satisfaction. The learning immersion and learning satisfaction of 240 students were analyzed in NFTF and FTF classes of department S of C junior college where the same textbook, same subject, and same professor were taught. For data processing, SPSS Ver. 23.0 was used. The data is used to measure reliability by Cronbach's α, t-test, Pearson's correlation coefficient, and multiple regression analysis. The results of this study are as follows. First, learners' learning immersion was higher in FTF than NFTF classes among engineering major subjects. Second, it was found that there was a difference in learning stress according to the types of FTF and NFTF classes in engineering major subjects. Third, it was found that there were differences in practice content, communication, and task performance of sub-factors of learning satisfaction according to FTF and NFTF class types in engineering major subjects. In conclusion, it was found that FTF classes had a more positive effect on learning immersion and satisfaction, and NFTF classes had a more negative effect on learning stress.
  • 12.

    Health Approaches for Weight Perception and Weight Loss Efforts in Hypertensive Patients with Obesity: The 2016-2019 Korea National Health and Nutrition Examination Survey

    Sang-Dol Kim , Young-Ran Yeun | 2023, 28(3) | pp.101~110 | number of Cited : 0
    Abstract PDF
    This study was conducted to identify factors influencing weight loss efforts in hypertensive patients with obesity in Korea using data from the 2016-2019 National Health and Nutrition Examination Survey. Weight perception, weight loss efforts, and weight control methods were investigated for 1,910 subjects. Data were analyzed using descriptive analysis, cross-tabulation analysis and logistic regression. Among obese hypertensive patients, 12.6% perceived their weight as normal. Weight loss efforts were 2.03 times (95% CI: 1.48 to 2.78) higher in people with overweight perception than those with normal weight perception, and 1.74 times (95% CI: 1.33 to 2.26) higher in women than in men. In addition, those with class 1 obesity were 1.50 times (95% CI: 0.85 to 2.65) higher than those with class 3 obesity, and those with class 2 obesity were 2.16 times (95% CI: 1.16 to 4.00) higher than those with class 3 obesity. These results suggest that weight management approaches for hypertensive patients with obesity should be individually designed according to weight perception, gender, and obesity class.
  • 13.

    Oral Bacterial Genetic Testing using Big Data

    Hee-Sun Woo | 2023, 28(3) | pp.111~117 | number of Cited : 0
    Abstract PDF
    The oral cavity is a window into the health of the whole body and a gateway for many harmful bacteria. It is a very important part of our body. The biggest advantage of genetic testing is that it can systematically prevent and manage diseases by examining bacteria in the oral cavity and predicting systemic diseases that may occur in our body through big data AI algorithm analysis. Therefore, in this paper, the researcher's family conducts genetic testing directly to derive the results. In this study, in November 2022, 4 family members of the researcher listened to a prior explanation from 1 dentist and 1 dental hygienist at J Dental Clinic, a preventive dental clinic located in Seoul, and after filling out the consent form, oral examination and genetic testing were performed. Genetic testing was performed with Dr.*** for adults and He***** products for middle and elementary school students. Genetic testing, which is currently being conducted in Korea, has the advantage that subjects can access it relatively easily without drawing blood, but it also has limitations such as time and cost. Nevertheless, I think it is a part to be highly evaluated in that systemic diseases can be predicted through oral microorganisms.
  • 14.

    The Factors affecting self-directed learning ability of nursing students who experienced online lectures

    So-Young Lee | 2023, 28(3) | pp.119~126 | number of Cited : 0
    Abstract PDF
    This study attempted to find out the factors affecting the self-directed learning ability of nursing students who took online lectures. The research method was a structured questionnaire survey targeting 2nd to 4th grade nursing college students, and the analysis method was analyzed by t-test, ANOVA, and multiple regression analysis. As a result of the study, the self-directed learning ability of nursing college students was an average of 3.48 points out of 5 points, and it was found that learning immersion had the greatest effect on self-directed learning ability. Based on the results of this study, it will be necessary to establish a quality education system and the efforts of instructors who apply various lecture methods or customized lecture programs so that learners can immerse themselves in learning in order to improve learners' self-directed learning ability.
  • 15.

    The Effects of Employment Expectation and Job Search Burnout on Job Seeking Anxiety in University Students

    Mi-Jung Bok | 2023, 28(3) | pp.127~135 | number of Cited : 0
    Abstract PDF
    The purpose of this study was to analyze the effect of university students empolyment expectation and job search burnout on job seeking anxiety. Collected data were statistically processed by PASW 18.0 program using frequency, descriptive statistics, reliability analysis, one-way ANOVA, T-test, correlation and multiple regression analysis. The results were as follows. First, it was found that university students experienced a little more anxiety about situations and causes of job insecurity than job insecurity. Second, it was found that job seeking anxiety differed according to gender, grade, monthly average household income and monthly average allowance. Third, job seeking anxiety increased more as empolyment expectations were lower and job search burnout such as inability, negative beliefs, and dehumanization were higher. Fourth, as a result of analyzing influence of variables related to job seeking anxiety, the most influential variable was inability.
  • 16.

    A Study on the Mental Health and Parental Efficacy of Mothers of Multicultural Adolescents: Focusing on Latent Profile Analysis

    Hyoung-Ha Lee | 2023, 28(3) | pp.137~148 | number of Cited : 0
    Abstract PDF
    The purpose of this study is to classify the potential types of mental health of mothers of multicultural youth by applying Latent Profile Analysis, analyze the influence of predictors, and find out how differences in potential types affect parental efficacy. To this end, panel data for the 9th year (2019) of the Multicultural Youth Panel Survey (MAPS) were used. As a result of the analysis, first, the mental health types of mothers of multicultural adolescents were analyzed in the order of ‘middle risk type of mental health’(class3) > ‘high risk type of self-esteem’(class1) > ‘high risk type of mental health’(class4) > ‘cultural adaptation and daily life stress’(class2). Second, compared to the "class 1" group, the lower the family economy level of multicultural youth mothers, the lower the educational background of multicultural youth fathers (husbands) graduate from middle school, the lower the level of Korean, and the lower the level of communication with children, the higher the odds of belonging to the ‘mental health medium risk’ group (Ods). Third, compared to the ‘middle risk type of mental health’(class3) and ‘high risk type of mental health’(class4), the ‘high risk type of self-esteem’(class1) group was found to have a significant positive (+) effect on parental efficacy.
  • 17.

    A Study of the Evacuation Safety for Workers on the Theater Stage Plan Shapes

    Yong-Gyu Park , Heung-Sik Woo | 2023, 28(3) | pp.149~157 | number of Cited : 0
    Abstract PDF
    The purpose of this study is to suggest that performers in the performing arts actively utilize the loading dock and stage door when evacuating from the stage space of a performance hall in a crisis situation. Therefore, first, we analyzed the system related to the performance hall's safety. The stage evacuation type was classified into A, B, C, and D forms by applying the building law audience evacuation standards. Second, statistical data were organized based on measurement data, and the characteristics of each form were summarized. Third, the network reliability measurement method was borrowed to evaluate the evacuation safety of the evacuation route in the stage space. We confirmed quantitatively that the direction of the loading dock direction and stage door direction on the stage is advantageous for evacuation. In this study, it was possible to distinguish the advantage of evacuation according to the type of evacuation, (A(0.1274)>B(0.1228).>.C(0.0487)) with A being the most advantageous. These results can be expected to improve the evacuation safety of the stage, and furthermore, they are expected to be used as basic data for stage evacuation.
  • 18.

    The Relationship between Information Mind and Academic Performance in University Students

    jeon il wook , Lee, Byung-Kwan | 2023, 28(3) | pp.159~166 | number of Cited : 0
    Abstract PDF
    In this paper, we propose a reasonable plan for university information education by examining whether university students' academic performance improves when the information mind is satisfied. In particular, through comparison between physical education students and general students, it was intended to provide empirical help in preparing strategies for information education in universities in the future. As a result of the analysis, there were some differences by major category, but overall, the information mind improved major convergence ability, teamwork and self-directed learning ability, and academic performance. Therefore, in order to improve the Information mind of college students, it is suggested that the need for Information should be recognized and the curriculum and program suitable for the major characteristics should be introduced and implemented.
  • 19.

    A study on average changes in college students' credits earned and grade point average according to face-to-face and non-face-to-face classes in the COVID-19 situation

    Jeong-Man Seo | 2023, 28(3) | pp.167~175 | number of Cited : 0
    Abstract PDF
    In the context of COVID-19, this study was conducted to study how college students' earned grades and average grade point averages changed according to face-to-face and non-face-to-face classes. For this study, grade data was extracted using an access database. For the study, 152 students during the 3rd semester were compared and analyzed the grade point average, average grade point average, midterm exam, final exam, assignment score, and attendance score of students who participated in non-face-to-face and face-to-face classes. As an analysis method, independent sample t-test statistical processing was performed. It was concluded that the face-to-face class students had better grades and average GPA. As a result, the face-to-face class students showed 4.39 points higher than the non-face-to-face class students, and the average grade value was 0.6642 points higher. As a result of the comparative analysis, it was statistically significant, and the face-to-face class averaged 21.22 and the non-face-to-face class had 16.83 points. In conclusion, it was confirmed that face-to-face students' grades were generally higher than those of non-face-to-face students, and that face-to-face students showed higher participation in class.
  • 20.

    Validation of a tool evaluating MOOCs for higher education from the perspective of education service

    Sung-Wan Kim | 2023, 28(3) | pp.177~187 | number of Cited : 0
    Abstract PDF
    This study aims to validate a tool evaluating MOOCs for higher education from the perspective of education service. Based on the results of related researches, a potential model for evaluating MOOCs (4 factors and 8 sub-factors) was made. An evaluation tool consisting of 18 survey items was delivered to 138 college students. After data cleaning, 136 surveys were used for exploratory factor analysis (principal component analysis. varimax rotation) and reliability analysis that confirmed the fitness of the potential model. Four exploratory constructs and seven sub-factors were extracted: Factor I was labeled as ‘Systemic Learning Experience,’ Factor II, ‘Value Experience,’ Factor III, ‘Co-creation of Value Experience,’ and Factor IV, ‘High Order Learning Experience.’ Reliability estimates using Cronbach’s alpha indicated that the evaluation tool had good internal consistency. In conclusion, the evaluation tool for MOOCs in higher education was proven to be valid and reliable.
  • 21.

    Analysis of Satisfaction of Pre-service and In-service Elementary Teachers with Artificial Intelligence Education using App Inventor

    Junghee Jo | 2023, 28(3) | pp.189~196 | number of Cited : 0
    Abstract PDF
    This paper analyzes the level of satisfaction of two groups of teachers who were educated about artificial intelligence using App Inventor. The participants were 13 pre-service and 9 in-service elementary school teachers and the data was collected using a questionnaire. As a result of the study, in-service teachers were all more satisfied than pre-service teachers in terms of interest, difficulty, and participation in the education. In addition, the questions investigating whether education helped motivate learning of artificial intelligence and whether there is a willingness to apply it to elementary classes in the future were also more positive for in-service teachers than for pre-service teachers. In general, pre-service teachers had somewhat more negative views than in-service teachers, but they were more positive than in-service teachers in terms of whether the education helped improve their understanding of artificial intelligence and whether they were willing to participate in additional education. Analysis of the Mann-Whitney test to see if there was a significant difference in satisfaction between the two groups showed no significance. This may be because most of the students in the two groups already had block-type or text-type programming experience, so they were able to participate in the education without any special resistance or difficulty with App Inventor, resulting in high levels of satisfaction from both groups. The results of this study can provide basic data for the future development and operation of programs for artificial intelligence education for both pre-service and in-service elementary school teachers.
  • 22.

    Establishing the Definitions of Metaverse and Metaverse Literacy and Developing the framework for Metaverse Literacy

    Hee Chul Kim , Iljun Park , Myoeun Kim | 2023, 28(3) | pp.197~208 | number of Cited : 0
    Abstract PDF
    The purpose of this study is to establish definitions on Metaverse and Metaverse literacy and to develop a framework for Metaverse literacy utilizing a Delphi study and in-depth interview methods with experts on Metaverse and digital, and future education. 9 experts participated in the Delphi study and 4 took part in the in-depth interview, and Delphi study data was collected via emails from January 12th to 17th and in-depth study data was gathered via zoom from March 1st to 19th in 2022. To establish the definition of Metaverse, 6 existing definitions were presented and ranked with calculated means of each definition, and additional comments were collected. To build the definition of Metaverse literacy, 1 existing definition was shown and calculated with the degree of agreement, and additional feedback was gathered. To develop a framework for Metaverse literacy, 12 sub-concepts were presented and ranked with calculated means of each concept. After applying feedback of the Delphi study, the authors re-established the definitions of Metaverse and Metaverse literacy, and re-develop the framework for Metaverse literacy. In the in-depth interview, feedback on these definitions and the framework was collected. After these processes, the definitions of Metaverse and Metaverse literacy were finalized, and the framework for Metaverse literacy was developed. Based on the results, implications and limitations of the study, and possible future study are discussed.